{"columns":[{"name":"premise","type":"string"},{"name":"hypothesis","type":"string"},{"name":"label","type":"int64"}],"n_rows":14660,"rows_kept":14660,"cut":false,"text_format":"parquet-jsonl-2026-10-02","bounds":{"document_bytes":16777216,"package_text_limit_bytes":33554432,"package_text_slack_bytes":1024,"rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096,"vector_min":64,"vector_head_fixed":16,"vector_head_variable":64,"kv_value_chars":1048576,"nesting_max":64,"binary_text":true},"cells_cut":0,"cells_bad_utf8":0,"cells_raw":0,"cells_binary":0,"cells_binary_text":0,"cells_vector":0,"n_row_groups":1,"reader":"pyarrow 23.0.1, python 3.13","created_by":"parquet-cpp-arrow version 22.0.0","schema":{"fields":[{"name":"premise","type":"string","nullable":true,"metadata":null,"children":null},{"name":"hypothesis","type":"string","nullable":true,"metadata":null,"children":null},{"name":"label","type":"int64","nullable":true,"metadata":null,"children":null}],"parquet":"required group field_id=-1 schema {\n  optional binary field_id=-1 premise (String);\n  optional binary field_id=-1 hypothesis (String);\n  optional int64 field_id=-1 label;\n}\n"},"kv_metadata":[["ARROW:schema",{"$cut":{"chars":620,"head":""}}],["huggingface","{\"info\": {\"features\": {\"premise\": {\"dtype\": \"string\", \"_type\": \"Value\"}, \"hypothesis\": {\"dtype\": \"string\", \"_type\": \"Value\"}, \"label\": {\"dtype\": \"int64\", \"_type\": \"Value\"}}}}"],["content_defined_chunking","{\"min_chunk_size\": 262144, \"max_chunk_size\": 1048576, \"norm_level\": 0}"]]}
["| 0.6370.2260.1630.135 |\n| --- |\n| 0.4890.1930.1050.091 |","| 0.4440.1740.0830.073 |\n| --- |\n| 0.3720.1430.0670.054 |\n| 0.3560.1350.0580.049 |",1]
["| 0.6370.2260.1630.135 |\n| --- |\n| 0.4890.1930.1050.091 |","| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |\n| 0.4592 | 0.2090 | 0.3236 |\n| 0.5393 | 0.2397 | 0.3751 |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["| 0.6370.2260.1630.135 |\n| --- |\n| 0.4890.1930.1050.091 |","| 0.4440.1740.0830.073 |\n| --- |\n| 0.3720.1430.0670.054 |\n| 0.3560.1350.0580.049 |",1]
["| 0.6370.2260.1630.135 |\n| --- |\n| 0.4890.1930.1050.091 |","| 0.1369 | 0.0986 | 0.1205 |\n| --- | --- | --- |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["|  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- |\n| Subordinating | 88.46 | 97.93 | 86.98 |\n| Coordinating | 90.34 | 90.34 | 82.39 |","| Discourseadverbial | 46.88 | 62.50 | 37.50 |\n| --- | --- | --- | --- |\n| All | 86.63 | 93.41 | 82.60 |",1]
["|  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- |\n| Subordinating | 88.46 | 97.93 | 86.98 |\n| Coordinating | 90.34 | 90.34 | 82.39 |","|  |  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 86.67 | 99.13 | 86.24 |\n| GS+EP | 83.62 | 94.98 | 83.52 |  |\n| Auto+EP | 81.72 | 92.64 | 80.96 |  |\n| Exact | GS+noEP | 59.15 | 82.23 | 53.85 |\n| GS+EP | 57.64 | 79.80 | 52.29 |  |\n| Auto+EP | 47.68 | 70.27 | 40.37 |  |",0]
["|  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- |\n| Subordinating | 88.46 | 97.93 | 86.98 |","| Coordinating | 90.34 | 90.34 | 82.39 |\n| --- | --- | --- | --- |\n| Discourseadverbial | 46.88 | 62.50 | 37.50 |\n| All | 86.63 | 93.41 | 82.60 |",1]
["|  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- |\n| Subordinating | 88.46 | 97.93 | 86.98 |","| Auto+EP | 81.72 | 92.64 | 80.96 |  |\n| --- | --- | --- | --- | --- |\n| Exact | GS+noEP | 59.15 | 82.23 | 53.85 |\n| GS+EP | 57.64 | 79.80 | 52.29 |  |\n| Auto+EP | 47.68 | 70.27 | 40.37 |  |",0]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |\n| Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 |","| Fle. | 17.3 | 17.0 | 18.7 | 17.6 | 17.4 | 17.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 |\n| Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 |\n| Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 |",1]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |\n| Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 |","| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 |\n| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |\n| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |\n| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 |\n| Cha. | 19.1 | 19.3 | 18.2 | 19.4 | 19.5 | 19.4 |\n| Marl. | 19.3 | 19.3 | 18.1 | 18.9 | 19.4 | 20.9 |",0]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |","| Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fle. | 17.3 | 17.0 | 18.7 | 17.6 | 17.4 | 17.9 |\n| Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 |\n| Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 |\n| Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 |",1]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |","| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |\n| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 |\n| Cha. | 19.1 | 19.3 | 18.2 | 19.4 | 19.5 | 19.4 |\n| Marl. | 19.3 | 19.3 | 18.1 | 18.9 | 19.4 | 20.9 |",0]
["| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 |\n| DFS(all) | 0.98 | 1.09 | 1.08 | 1.03 | 0.86 | 1.03 | 0.46 | 0.94 | 0.73 | 1.01 |","| RS(large) | 0.19 | 0.19 | 0.96 | 0.11 | 0.77 | 0.12 | 0.15 | 0.29 | 0.17 | 0.33 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DFS(large) | 0.96 | 0.95 | 1.01 | 1.00 | 0.83 | 1.19 | 0.68 | 0.94 | 0.44 | 1.00 |",1]
["| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 |\n| DFS(all) | 0.98 | 1.09 | 1.08 | 1.03 | 0.86 | 1.03 | 0.46 | 0.94 | 0.73 | 1.01 |","| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 |","| DFS(all) | 0.98 | 1.09 | 1.08 | 1.03 | 0.86 | 1.03 | 0.46 | 0.94 | 0.73 | 1.01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RS(large) | 0.19 | 0.19 | 0.96 | 0.11 | 0.77 | 0.12 | 0.15 | 0.29 | 0.17 | 0.33 |\n| DFS(large) | 0.96 | 0.95 | 1.01 | 1.00 | 0.83 | 1.19 | 0.68 | 0.94 | 0.44 | 1.00 |",1]
["| instance | w | l | M | DM | TH | SDTH | SDFP | p | ac | bms2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RS(all) | 0.37 | 0.44 | 0.73 | 0.16 | 1.00 | 0.20 | 0.30 | 0.33 | 0.34 | 0.56 |","| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) |\n| --- | --- | --- |\n| ModelGroove | ModelGroove |  |","| A | 100.00×100.00×10.0030.00×30.00×8.00 | 99.97×99.83×10.3129.74×30.01×8.25 |\n| --- | --- | --- |\n| B | 100.00×100.00×10.0030.00×30.00×3.00 | 100.39×100.10×9.8230.28×29.98×3.52 |\n| C | 100.00×100.00×5.00n/a | 100.00×99.98×5.92n/a |",1]
["| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) |\n| --- | --- | --- |\n| ModelGroove | ModelGroove |  |","| ModelandApproach | ABSq |\n| --- | --- |\n| M2+M5+M10+NETXGB | 0.0368 |\n| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |\n| VGG-PCAMLP | 0.0287 |\n| 3DCNN | 0.0284 |",0]
["| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) |\n| --- | --- | --- |\n| ModelGroove | ModelGroove |  |","| A | 100.00×100.00×10.0030.00×30.00×8.00 | 99.97×99.83×10.3129.74×30.01×8.25 |\n| --- | --- | --- |\n| B | 100.00×100.00×10.0030.00×30.00×3.00 | 100.39×100.10×9.8230.28×29.98×3.52 |\n| C | 100.00×100.00×5.00n/a | 100.00×99.98×5.92n/a |",1]
["| Samplemodel | Designsize(mm×mm×mm) | Actualsize(mm×mm×mm) |\n| --- | --- | --- |\n| ModelGroove | ModelGroove |  |","| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |\n| --- | --- |\n| VGG-PCAMLP | 0.0287 |\n| 3DCNN | 0.0284 |",0]
["| Platform | #campaigns | #tasks | #totalbudget |\n| --- | --- | --- | --- |\n| Smartphone | 1102 | 231,892 | $27,702.07 |\n| Google+ | 823 | 57,203 | $18,960.50 |\n| Other | 797 | 349,937 | $31,333.06 |\n| Twitter | 747 | 83,731 | $14,047.21 |\n| Facebook | 666 | 115,967 | $15,657.86 |\n| YouTube | 616 | 248,914 | $29,322.28 |\n| Reddit | 539 | 77,104 | $5,434.15 |\n| Redacted | 501 | 132,401 | $13,397.94 |\n| Google | 330 | 261,923 | $18,672.37 |\n| RDT | 296 | 80,844 | $8,034.94 |\n| MBS | 218 | 38,859 | $5,497.36 |\n| Instagram | 172 | 19,421 | $2,072.35 |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |","| eBay | 22 | 6,014 | $570.52 |\n| --- | --- | --- | --- |\n| Yahoo | 21 | 45,686 | $2,355.13 |\n| Ali | 9 | 3,945 | $551.91 |\n| Bing | 4 | 675 | $69.00 |\n| Browseradd-on | 3 | 214 | $73.96 |",1]
["| Platform | #campaigns | #tasks | #totalbudget |\n| --- | --- | --- | --- |\n| Smartphone | 1102 | 231,892 | $27,702.07 |\n| Google+ | 823 | 57,203 | $18,960.50 |\n| Other | 797 | 349,937 | $31,333.06 |\n| Twitter | 747 | 83,731 | $14,047.21 |\n| Facebook | 666 | 115,967 | $15,657.86 |\n| YouTube | 616 | 248,914 | $29,322.28 |\n| Reddit | 539 | 77,104 | $5,434.15 |\n| Redacted | 501 | 132,401 | $13,397.94 |\n| Google | 330 | 261,923 | $18,672.37 |\n| RDT | 296 | 80,844 | $8,034.94 |\n| MBS | 218 | 38,859 | $5,497.36 |\n| Instagram | 172 | 19,421 | $2,072.35 |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |","| Activity | #campaigns | #tasks | totalbudget |\n| --- | --- | --- | --- |\n| L | 1,303 | 207,811 | $22,757.32 |\n| P | 1,293 | 116,682 | $26,796.95 |\n| S | 1,229 | 577,444 | $46,802.91 |\n| U | 1,210 | 354,180 | $40,344.71 |\n| C | 733 | 227,756 | $27,926.15 |\n| E | 495 | 318,387 | $23,310.10 |\n| I | 361 | 16,934 | $8,375.01 |\n| H | 357 | 26,305 | $7,547.54 |\n| Z | 352 | 122,974 | $9,681.65 |\n| N | 203 | 26,808 | $3,419.92 |\n| B | 196 | 40,045 | $4,422.94 |\n| W | 147 | 38,756 | $4,307.35 |\n| D | 138 | 50,886 | $6,307.99 |\n| F | 79 | 12,649 | $1,520.29 |\n| V | 68 | 32,832 | $4,026.03 |\n| T | 31 | 2,071 | $409.87 |\n| R | 29 | 5,191 | $2,037.10 |\n| O | 24 | 7,219 | $1,240.66 |\n| A | 14 | 519 | $78.90 |\n| M | 12 | 847 | $203.45 |\n| K | 10 | 474 | $292.02 |\n| Q | 3 | 150 | $24.60 |\n| Y | 1 | 1,026 | $61.56 |",0]
["| Platform | #campaigns | #tasks | #totalbudget |\n| --- | --- | --- | --- |\n| Smartphone | 1102 | 231,892 | $27,702.07 |\n| Google+ | 823 | 57,203 | $18,960.50 |\n| Other | 797 | 349,937 | $31,333.06 |\n| Twitter | 747 | 83,731 | $14,047.21 |\n| Facebook | 666 | 115,967 | $15,657.86 |\n| YouTube | 616 | 248,914 | $29,322.28 |\n| Reddit | 539 | 77,104 | $5,434.15 |\n| Redacted | 501 | 132,401 | $13,397.94 |\n| Google | 330 | 261,923 | $18,672.37 |\n| RDT | 296 | 80,844 | $8,034.94 |\n| MBS | 218 | 38,859 | $5,497.36 |\n| Instagram | 172 | 19,421 | $2,072.35 |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |\n| eBay | 22 | 6,014 | $570.52 |\n| Yahoo | 21 | 45,686 | $2,355.13 |\n| Ali | 9 | 3,945 | $551.91 |","| Bing | 4 | 675 | $69.00 |\n| --- | --- | --- | --- |\n| Browseradd-on | 3 | 214 | $73.96 |",1]
["| Platform | #campaigns | #tasks | #totalbudget |\n| --- | --- | --- | --- |\n| Smartphone | 1102 | 231,892 | $27,702.07 |\n| Google+ | 823 | 57,203 | $18,960.50 |\n| Other | 797 | 349,937 | $31,333.06 |\n| Twitter | 747 | 83,731 | $14,047.21 |\n| Facebook | 666 | 115,967 | $15,657.86 |\n| YouTube | 616 | 248,914 | $29,322.28 |\n| Reddit | 539 | 77,104 | $5,434.15 |\n| Redacted | 501 | 132,401 | $13,397.94 |\n| Google | 330 | 261,923 | $18,672.37 |\n| RDT | 296 | 80,844 | $8,034.94 |\n| MBS | 218 | 38,859 | $5,497.36 |\n| Instagram | 172 | 19,421 | $2,072.35 |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |\n| eBay | 22 | 6,014 | $570.52 |\n| Yahoo | 21 | 45,686 | $2,355.13 |\n| Ali | 9 | 3,945 | $551.91 |","| P | 1,293 | 116,682 | $26,796.95 |\n| --- | --- | --- | --- |\n| S | 1,229 | 577,444 | $46,802.91 |\n| U | 1,210 | 354,180 | $40,344.71 |\n| C | 733 | 227,756 | $27,926.15 |\n| E | 495 | 318,387 | $23,310.10 |\n| I | 361 | 16,934 | $8,375.01 |\n| H | 357 | 26,305 | $7,547.54 |\n| Z | 352 | 122,974 | $9,681.65 |\n| N | 203 | 26,808 | $3,419.92 |\n| B | 196 | 40,045 | $4,422.94 |\n| W | 147 | 38,756 | $4,307.35 |\n| D | 138 | 50,886 | $6,307.99 |\n| F | 79 | 12,649 | $1,520.29 |\n| V | 68 | 32,832 | $4,026.03 |\n| T | 31 | 2,071 | $409.87 |\n| R | 29 | 5,191 | $2,037.10 |\n| O | 24 | 7,219 | $1,240.66 |\n| A | 14 | 519 | $78.90 |\n| M | 12 | 847 | $203.45 |\n| K | 10 | 474 | $292.02 |\n| Q | 3 | 150 | $24.60 |\n| Y | 1 | 1,026 | $61.56 |",0]
["| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Preﬁx<br>Free |\n| --- | --- | --- | --- | --- |\n| IPMS | 100 | 1/0 | 106 | Y |\n| LPMS-R | 99 | 0.304/0.435 | 2,773 | Y |\n| B-100 | 91 | 0.097/0.28 | 6,744 | N |\n| B-110 | 94 | 0.067/0.23 | 7,396 | N |","| B-120 | 95 | 0.056/0.21 | 8,110 | N |\n| --- | --- | --- | --- | --- |\n| B-130 | 97 | 0.036/0.17 | 8,814 | N |\n| B-140 | 98 | 0.025/0.13 | 9,513 | N |\n| B-150 | 99 | 0.016/0.099 | 10,156 | N |\n| B-200 | 99 | 0.014/0.099 | 13,578 | N |\n| B-250 | 100 | 0.004/0.002 | 17,107 | N |",1]
["| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Preﬁx<br>Free |\n| --- | --- | --- | --- | --- |\n| IPMS | 100 | 1/0 | 106 | Y |\n| LPMS-R | 99 | 0.304/0.435 | 2,773 | Y |\n| B-100 | 91 | 0.097/0.28 | 6,744 | N |\n| B-110 | 94 | 0.067/0.23 | 7,396 | N |","| SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 |\n| 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 |\n| 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 |\n| 5x5 | 5 | 10 | 100 | 2 | 1.49 | 1.43 |\n| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 |\n| 5x5 | 5 | 20 | 100 | 1 | 1.17 | - |\n| 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 |\n| 5x5 | 40 | 10 | 100 | 1 | 1.20 | - |\n| 15x15 | 5 | 5 | 900 | 1 | 1.22 | - |\n| 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |\n| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |\n| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 |",0]
["| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Preﬁx<br>Free |\n| --- | --- | --- | --- | --- |\n| IPMS | 100 | 1/0 | 106 | Y |\n| LPMS-R | 99 | 0.304/0.435 | 2,773 | Y |\n| B-100 | 91 | 0.097/0.28 | 6,744 | N |\n| B-110 | 94 | 0.067/0.23 | 7,396 | N |\n| B-120 | 95 | 0.056/0.21 | 8,110 | N |\n| B-130 | 97 | 0.036/0.17 | 8,814 | N |\n| B-140 | 98 | 0.025/0.13 | 9,513 | N |","| B-150 | 99 | 0.016/0.099 | 10,156 | N |\n| --- | --- | --- | --- | --- |\n| B-200 | 99 | 0.014/0.099 | 13,578 | N |\n| B-250 | 100 | 0.004/0.002 | 17,107 | N |",1]
["| Index<br>type | #correct<br>query | Precision<br>Mean/Std | Posting<br>size | Preﬁx<br>Free |\n| --- | --- | --- | --- | --- |\n| IPMS | 100 | 1/0 | 106 | Y |\n| LPMS-R | 99 | 0.304/0.435 | 2,773 | Y |\n| B-100 | 91 | 0.097/0.28 | 6,744 | N |\n| B-110 | 94 | 0.067/0.23 | 7,396 | N |\n| B-120 | 95 | 0.056/0.21 | 8,110 | N |\n| B-130 | 97 | 0.036/0.17 | 8,814 | N |\n| B-140 | 98 | 0.025/0.13 | 9,513 | N |","| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 20 | 100 | 1 | 1.17 | - |\n| 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 |\n| 5x5 | 40 | 10 | 100 | 1 | 1.20 | - |\n| 15x15 | 5 | 5 | 900 | 1 | 1.22 | - |\n| 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |\n| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |\n| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 |",0]
["| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",1]
["| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |","| Range | 2LDE | 5LDEs | 30LDEs | 90LDEs |\n| --- | --- | --- | --- | --- |\n| 5 | 4.97 | 4.93 | 4.61 | 3.99 |\n| 9 | 8.92 | 8.89 | 8.16 | 6.78 |\n| 17 | 16.82 | 16.69 | 15.11 | 11.74 |\n| 33 | 32.59 | 32.39 | 28.57 | 20.66 |\n| 65 | 64.15 | 63.28 | 54.06 | 34.68 |\n| 129 | 127.11 | 124.20 | 99.11 | 51.44 |\n| 257 | 252.79 | 244.76 | 176.12 | 68.40 |\n| 513 | 501.27 | 481.27 | 308.30 | 87.65 |\n| 1025 | 993.81 | 945.15 | 525.85 | 114.74 |\n| 2049 | 1972.04 | 1852.66 | 897.32 | 150.58 |\n| 4097 | 3920.22 | 3646.23 | 1557.49 | 211.95 |\n| 8193 | 7810.89 | 7224.94 | 2853.74 | 346.77 |\n| 16385 | 15599.41 | 14388.60 | 5488.09 | 628.31 |\n| 32769 | 31176.54 | 28714.82 | 10722.84 | 1159.05 |\n| 65537 | 62330.68 | 51724.69 | 21179.73 | 2199.60 |",0]
["| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |","| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",1]
["| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |","| 129 | 127.11 | 124.20 | 99.11 | 51.44 |\n| --- | --- | --- | --- | --- |\n| 257 | 252.79 | 244.76 | 176.12 | 68.40 |\n| 513 | 501.27 | 481.27 | 308.30 | 87.65 |\n| 1025 | 993.81 | 945.15 | 525.85 | 114.74 |\n| 2049 | 1972.04 | 1852.66 | 897.32 | 150.58 |\n| 4097 | 3920.22 | 3646.23 | 1557.49 | 211.95 |\n| 8193 | 7810.89 | 7224.94 | 2853.74 | 346.77 |\n| 16385 | 15599.41 | 14388.60 | 5488.09 | 628.31 |\n| 32769 | 31176.54 | 28714.82 | 10722.84 | 1159.05 |\n| 65537 | 62330.68 | 51724.69 | 21179.73 | 2199.60 |",0]
["| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn |  |  |\n| --- | --- | --- | --- | --- |\n| 1. | t1 |  | 0<br>t1 | 0∞5<br>,t,y,p2 |","| 2. | t2 |  | 0<br>t1 | , | 0<br>t2 | 5∞101<br>,p,y,r,x |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3. | p |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | 61∞6<br>,r,x,y,s |  |  |  |  |  |  |\n| 4. | r |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<br>r | ∞167<br>,y,x,s,q |  |  |  |  |\n| 5. | q |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<br>r | , | 7<br>q | ∞114<br>,y,x,s |  |  |\n| 6. | s |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<br>r | , | 7<br>q | , | 14<br>s | ∞1<br>,y,x |",1]
["| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn |  |  |\n| --- | --- | --- | --- | --- |\n| 1. | t1 |  | 0<br>t1 | 0∞5<br>,t,y,p2 |","|  | F=10,H=1,K=10 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 5.00<br>9.50<br>0.00<br>10.00<br>10.00<br>10.00 | 0.00<br>4.50<br>0.00<br>0.00<br>0.00<br>0.00 | 5.00<br>5.00<br>4.50<br>10.00<br>10.00<br>10.00 | 1<br>0<br>0<br>1<br>1<br>0 | 13.49<br>0.00<br>0.00<br>10.00<br>19.00<br>0.00 | 8.49<br>4.00<br>0.00<br>0.00<br>9.00<br>0.00 | 4.99<br>4.50<br>4.00<br>10.00<br>10.00<br>9.00 |\n|  | Π=170.25 | Π=171.75 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |\n|  | Π=429.00 | Π=768.875 |  |  |  |  |  |  |  |  |",0]
["| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1. | t1 |  | 0<br>t1 | 0∞5<br>,t,y,p2 |  |  |\n| 2. | t2 |  | 0<br>t1 | , | 0<br>t2 | 5∞101<br>,p,y,r,x |","| 3. | p |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | 61∞6<br>,r,x,y,s |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4. | r |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<br>r | ∞167<br>,y,x,s,q |  |  |  |  |\n| 5. | q |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<br>r | , | 7<br>q | ∞114<br>,y,x,s |  |  |\n| 6. | s |  | 0<br>t1 | , | 0<br>t2 | , | 5<br>p | , | 6<br>r | , | 7<br>q | , | 14<br>s | ∞1<br>,y,x |",1]
["| Itn.<br>No. | n | NodesinOPENandCLOSED<br>h(n)<br>formatn |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1. | t1 |  | 0<br>t1 | 0∞5<br>,t,y,p2 |  |  |\n| 2. | t2 |  | 0<br>t1 | , | 0<br>t2 | 5∞101<br>,p,y,r,x |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=429.00 | Π=768.875 |  |  |  |  |  |  |  |  |",0]
["| Comp. | Parts | AP | Time |\n| --- | --- | --- | --- |\n| 1 | 0 | 52.3 | 2.27 |\n| 1 | 4 | 63.2 | 3.48 |\n| 1 | 8 | 64.2 | 4.84 |\n| 3 | 0 | 62.9 | 6.48 |\n| 3 | 4 | 66.7 | 12.20 |\n| 3 | 8 | 68.4 | 16.47 |\n| 5 | 0 | 64.8 | 10.25 |","| 5 | 4 | 67.3 | 16.33 |\n| --- | --- | --- | --- |\n| 5 | 8 | 68.7 | 22.07 |\n| 6 | 0 | 65.2 | 10.48 |\n| 8 | 0 | 66.0 | 11.17 |",1]
["| Comp. | Parts | AP | Time |\n| --- | --- | --- | --- |\n| 1 | 0 | 52.3 | 2.27 |\n| 1 | 4 | 63.2 | 3.48 |\n| 1 | 8 | 64.2 | 4.84 |\n| 3 | 0 | 62.9 | 6.48 |\n| 3 | 4 | 66.7 | 12.20 |\n| 3 | 8 | 68.4 | 16.47 |\n| 5 | 0 | 64.8 | 10.25 |","| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |\n| 82.4 | 76.8 |\n| 86.4 | 82.2 |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",0]
["| Comp. | Parts | AP | Time |\n| --- | --- | --- | --- |\n| 1 | 0 | 52.3 | 2.27 |\n| 1 | 4 | 63.2 | 3.48 |\n| 1 | 8 | 64.2 | 4.84 |\n| 3 | 0 | 62.9 | 6.48 |\n| 3 | 4 | 66.7 | 12.20 |\n| 3 | 8 | 68.4 | 16.47 |","| 5 | 0 | 64.8 | 10.25 |\n| --- | --- | --- | --- |\n| 5 | 4 | 67.3 | 16.33 |\n| 5 | 8 | 68.7 | 22.07 |\n| 6 | 0 | 65.2 | 10.48 |\n| 8 | 0 | 66.0 | 11.17 |",1]
["| Comp. | Parts | AP | Time |\n| --- | --- | --- | --- |\n| 1 | 0 | 52.3 | 2.27 |\n| 1 | 4 | 63.2 | 3.48 |\n| 1 | 8 | 64.2 | 4.84 |\n| 3 | 0 | 62.9 | 6.48 |\n| 3 | 4 | 66.7 | 12.20 |\n| 3 | 8 | 68.4 | 16.47 |","| 82.4 | 76.8 |\n| --- | --- |\n| 86.4 | 82.2 |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",0]
["| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>1<br>913<br>1003 | Georgian<br>German<br>Greek<br>Gujarati<br>Haitian | 1591<br>174<br>1257<br>556<br>220 | 425<br>640<br>436<br>156<br>235 | 661<br>674<br>1042<br>224<br>76 | 2434<br>1032<br>1693<br>412<br>75 | Nynorsk<br>Persian<br>Polish<br>Portuguese<br>Romanian | 472<br>979<br>474<br>283<br>388 | 184<br>284<br>518<br>660<br>618 |","| Azerbaijani<br>Basque<br>Belarusian<br>Bengali<br>Bosnian | 854<br>352<br>1561<br>661<br>760 | 166<br>184<br>291<br>227<br>282 | 284<br>187<br>765<br>280<br>389 | 1244<br>597<br>1295<br>1310<br>1392 | Hebrew<br>Hindi<br>Hungarian<br>Icelandic<br>Indonesian | 670<br>1187<br>227<br>349<br>198 | 466<br>323<br>141<br>82<br>231 | 864<br>725<br>244<br>95<br>478 | 1248<br>1043<br>2762<br>1156<br>1802 | Russian<br>Serbian<br>Croatian<br>Slovak<br>Slovenian | 854<br>1695<br>546<br>623<br>518 | 1143<br>743<br>474<br>310<br>296 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulgarian<br>Catalan<br>Khmer<br>Chinese<br>Croatian | 2231<br>639<br>21<br>18<br>446 | 674<br>733<br>194<br>142<br>522 | 2599<br>1255<br>1<br>26<br>803 | 1562<br>1187<br>41<br>0<br>984 | Irish<br>Italian<br>Japanese<br>Kannada<br>Korean | 152<br>300<br>1048<br>737<br>150 | 155<br>613<br>414<br>201<br>488 | 57<br>1272<br>1112<br>330<br>307 | 837<br>581<br>854<br>1173<br>81 | Spanish<br>Swahili<br>Swedish<br>Tagalog<br>Tamil | 530<br>113<br>199<br>211<br>386 | 788<br>96<br>446<br>118<br>189 |\n| Czech<br>Danish<br>Dutch<br>Esperanto<br>Estonian | 405<br>251<br>208<br>522<br>245 | 699<br>396<br>431<br>410<br>161 | 1142<br>493<br>360<br>638<br>150 | 387<br>403<br>449<br>750<br>605 | Latin<br>Latvian<br>Lithuanian<br>Macedonian<br>Malay | 352<br>812<br>489<br>2926<br>226 | 346<br>376<br>542<br>422<br>140 | 158<br>491<br>473<br>1769<br>263 | 1184<br>2188<br>505<br>1667<br>1465 | Telugu<br>Thai<br>Turkish<br>Ukrainian<br>Urdu | 821<br>267<br>263<br>1718<br>338 | 231<br>109<br>350<br>781<br>111 |\n| Finnish<br>French<br>Galician | 157<br>486<br>664 | 285<br>949<br>511 | 159<br>2108<br>934 | 605<br>1804<br>1343 | Maltese<br>Marathi<br>Norwegian | 149<br>410<br>216 | 214<br>181<br>414 | 84<br>225<br>486 | 88<br>751<br>401 | Vietnamese<br>Welsh<br>Yiddish | 46<br>248<br>626 | 20<br>81<br>206 |",1]
["| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>1<br>913<br>1003 | Georgian<br>German<br>Greek<br>Gujarati<br>Haitian | 1591<br>174<br>1257<br>556<br>220 | 425<br>640<br>436<br>156<br>235 | 661<br>674<br>1042<br>224<br>76 | 2434<br>1032<br>1693<br>412<br>75 | Nynorsk<br>Persian<br>Polish<br>Portuguese<br>Romanian | 472<br>979<br>474<br>283<br>388 | 184<br>284<br>518<br>660<br>618 |","| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |\n| Irish | 46 | 252/278 |  |\n| Hausa | 77 | 424/520 |  |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>1<br>913<br>1003 | Georgian<br>German<br>Greek<br>Gujarati<br>Haitian | 1591<br>174<br>1257<br>556<br>220 | 425<br>640<br>436<br>156<br>235 | 661<br>674<br>1042<br>224<br>76 | 2434<br>1032<br>1693<br>412<br>75 | Nynorsk<br>Persian<br>Polish<br>Portuguese<br>Romanian | 472<br>979<br>474<br>283<br>388 | 184<br>284<br>518<br>660<br>618 |","| Azerbaijani<br>Basque<br>Belarusian<br>Bengali<br>Bosnian | 854<br>352<br>1561<br>661<br>760 | 166<br>184<br>291<br>227<br>282 | 284<br>187<br>765<br>280<br>389 | 1244<br>597<br>1295<br>1310<br>1392 | Hebrew<br>Hindi<br>Hungarian<br>Icelandic<br>Indonesian | 670<br>1187<br>227<br>349<br>198 | 466<br>323<br>141<br>82<br>231 | 864<br>725<br>244<br>95<br>478 | 1248<br>1043<br>2762<br>1156<br>1802 | Russian<br>Serbian<br>Croatian<br>Slovak<br>Slovenian | 854<br>1695<br>546<br>623<br>518 | 1143<br>743<br>474<br>310<br>296 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bulgarian<br>Catalan<br>Khmer<br>Chinese<br>Croatian | 2231<br>639<br>21<br>18<br>446 | 674<br>733<br>194<br>142<br>522 | 2599<br>1255<br>1<br>26<br>803 | 1562<br>1187<br>41<br>0<br>984 | Irish<br>Italian<br>Japanese<br>Kannada<br>Korean | 152<br>300<br>1048<br>737<br>150 | 155<br>613<br>414<br>201<br>488 | 57<br>1272<br>1112<br>330<br>307 | 837<br>581<br>854<br>1173<br>81 | Spanish<br>Swahili<br>Swedish<br>Tagalog<br>Tamil | 530<br>113<br>199<br>211<br>386 | 788<br>96<br>446<br>118<br>189 |\n| Czech<br>Danish<br>Dutch<br>Esperanto<br>Estonian | 405<br>251<br>208<br>522<br>245 | 699<br>396<br>431<br>410<br>161 | 1142<br>493<br>360<br>638<br>150 | 387<br>403<br>449<br>750<br>605 | Latin<br>Latvian<br>Lithuanian<br>Macedonian<br>Malay | 352<br>812<br>489<br>2926<br>226 | 346<br>376<br>542<br>422<br>140 | 158<br>491<br>473<br>1769<br>263 | 1184<br>2188<br>505<br>1667<br>1465 | Telugu<br>Thai<br>Turkish<br>Ukrainian<br>Urdu | 821<br>267<br>263<br>1718<br>338 | 231<br>109<br>350<br>781<br>111 |\n| Finnish<br>French<br>Galician | 157<br>486<br>664 | 285<br>949<br>511 | 159<br>2108<br>934 | 605<br>1804<br>1343 | Maltese<br>Marathi<br>Norwegian | 149<br>410<br>216 | 214<br>181<br>414 | 84<br>225<br>486 | 88<br>751<br>401 | Vietnamese<br>Welsh<br>Yiddish | 46<br>248<br>626 | 20<br>81<br>206 |",1]
["| Lang | TP | EP | B | N | Lang | TP | EP | B | N | Lang | TP | EP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Afrikaans<br>Albanian<br>Amharic<br>Arabic<br>Armenian | 405<br>639<br>2<br>618<br>1141 | 173<br>295<br>0<br>571<br>405 | 260<br>533<br>0<br>922<br>449 | 583<br>1237<br>1<br>913<br>1003 | Georgian<br>German<br>Greek<br>Gujarati<br>Haitian | 1591<br>174<br>1257<br>556<br>220 | 425<br>640<br>436<br>156<br>235 | 661<br>674<br>1042<br>224<br>76 | 2434<br>1032<br>1693<br>412<br>75 | Nynorsk<br>Persian<br>Polish<br>Portuguese<br>Romanian | 472<br>979<br>474<br>283<br>388 | 184<br>284<br>518<br>660<br>618 |","| Welsh | 53 | 312/329 |  |\n| --- | --- | --- | --- |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| Model | Accuracy |\n| --- | --- |\n| WNN-recursive | 0.930 |","| BENN-recursive | 0.936 |\n| --- | --- |\n| recursive | 0.920 |\n| Entity-Grid | 0.888 |",1]
["| Model | Accuracy |\n| --- | --- |\n| WNN-recursive | 0.930 |","| Model | Precision |\n| --- | --- |\n| SVM-unigram | 0.869 |\n| SVM-bigram | 0.892 |\n| recursive+recurrent | 0.870 |\n| WNN | 0.902 |\n| BENN | 0.910 |",0]
["| Model | Accuracy |\n| --- | --- |\n| WNN-recursive | 0.930 |","| BENN-recursive | 0.936 |\n| --- | --- |\n| recursive | 0.920 |\n| Entity-Grid | 0.888 |",1]
["| Model | Accuracy |\n| --- | --- |\n| WNN-recursive | 0.930 |","| recursive+recurrent | 0.870 |\n| --- | --- |\n| WNN | 0.902 |\n| BENN | 0.910 |",0]
["| t,T | at | bt | pA,t | PA,t |\n| --- | --- | --- | --- | --- |\n| 0,1 | 0.080 | 0 | 0.500 | 0.722 |\n| 5,2 | 0 | 0.117 | 0.722 | 0.839 |","| 10,3 | 0 | 0.261 | 0839 | 0.564 |\n| --- | --- | --- | --- | --- |\n| 15,4 | 0 | 0.055 | 0.564 | 0.712 |\n| 20,5 | 0 | 0.077 | 0.712 | 0.903 |\n| 25,6 | 0 | 0.154 | 0.903 | 0.803 |\n| 30,7 | 0 | 0.251 | 0.803 | 0.576 |\n| 35,8 | 0 | 0.108 | 0.576 | 0.590 |\n| 40,9 | 0 | 0.176 | 0.590 | 0.437 |\n| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",1]
["| t,T | at | bt | pA,t | PA,t |\n| --- | --- | --- | --- | --- |\n| 0,1 | 0.080 | 0 | 0.500 | 0.722 |\n| 5,2 | 0 | 0.117 | 0.722 | 0.839 |","| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| t,T | at | bt | pA,t | PA,t |\n| --- | --- | --- | --- | --- |\n| 0,1 | 0.080 | 0 | 0.500 | 0.722 |\n| 5,2 | 0 | 0.117 | 0.722 | 0.839 |\n| 10,3 | 0 | 0.261 | 0839 | 0.564 |\n| 15,4 | 0 | 0.055 | 0.564 | 0.712 |\n| 20,5 | 0 | 0.077 | 0.712 | 0.903 |\n| 25,6 | 0 | 0.154 | 0.903 | 0.803 |","| 30,7 | 0 | 0.251 | 0.803 | 0.576 |\n| --- | --- | --- | --- | --- |\n| 35,8 | 0 | 0.108 | 0.576 | 0.590 |\n| 40,9 | 0 | 0.176 | 0.590 | 0.437 |\n| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",1]
["| t,T | at | bt | pA,t | PA,t |\n| --- | --- | --- | --- | --- |\n| 0,1 | 0.080 | 0 | 0.500 | 0.722 |\n| 5,2 | 0 | 0.117 | 0.722 | 0.839 |\n| 10,3 | 0 | 0.261 | 0839 | 0.564 |\n| 15,4 | 0 | 0.055 | 0.564 | 0.712 |\n| 20,5 | 0 | 0.077 | 0.712 | 0.903 |\n| 25,6 | 0 | 0.154 | 0.903 | 0.803 |","| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |\n| Delta-nHinge | 93.4 | NA | NA | 97.8 |\n| CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 |","| MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 |\n| --- | --- | --- | --- | --- |\n| SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 |\n| SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 |",1]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |\n| Delta-nHinge | 93.4 | NA | NA | 97.8 |\n| CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 |","| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |\n| Delta-nHinge | 93.4 | NA | NA | 98.4 |\n| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |","| Delta-nHinge | 93.4 | NA | NA | 97.8 |\n| --- | --- | --- | --- | --- |\n| CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 |\n| MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 |\n| SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 |\n| SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 |",1]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |","| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| --- | --- | --- | --- | --- |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["| linguisticterm | level | 2-tuple |\n| --- | --- | --- |\n| NoAlcoholR | l(3,9) | 9<br>(s,0) |\n| YoungLegalLimitL | l(3,9) | (s,.0125) |\n| YoungLegalLimitR | l(5,33) | (s,.003) |\n| IntermediateL | l(5,33) | (s,0) |\n| IntermediateR | l(4,17) | (s,0) |","| LegalLimitL | l(4,17) | (s,.005) |\n| --- | --- | --- |\n| LegalLimitR | l(1,3) | (s,−.07) |\n| RiskOfDeathR | l(1,3) | (s,0)1 |",1]
["| linguisticterm | level | 2-tuple |\n| --- | --- | --- |\n| NoAlcoholR | l(3,9) | 9<br>(s,0) |\n| YoungLegalLimitL | l(3,9) | (s,.0125) |\n| YoungLegalLimitR | l(5,33) | (s,.003) |\n| IntermediateL | l(5,33) | (s,0) |\n| IntermediateR | l(4,17) | (s,0) |","| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 |  | 25.00 | 24.19 | 25.19 | 24.44 |\n| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",0]
["| linguisticterm | level | 2-tuple |\n| --- | --- | --- |\n| NoAlcoholR | l(3,9) | 9<br>(s,0) |","| YoungLegalLimitL | l(3,9) | (s,.0125) |\n| --- | --- | --- |\n| YoungLegalLimitR | l(5,33) | (s,.003) |\n| IntermediateL | l(5,33) | (s,0) |\n| IntermediateR | l(4,17) | (s,0) |\n| LegalLimitL | l(4,17) | (s,.005) |\n| LegalLimitR | l(1,3) | (s,−.07) |\n| RiskOfDeathR | l(1,3) | (s,0)1 |",1]
["| linguisticterm | level | 2-tuple |\n| --- | --- | --- |\n| NoAlcoholR | l(3,9) | 9<br>(s,0) |","| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| --- | --- | --- | --- | --- | --- |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["|  | All | Airline1 | Airline2 |\n| --- | --- | --- | --- |\n| Min | 1 | 3 | 1 |\n| Q1 | 1 | 3 | 1 |\n| Median | 3 | 4 | 1 |\n| Mean | 3.38 | 4.67 | 1.43 |\n| Q3 | 4 | 5 | 2 |","| 95thper. | 8 | 9 | 3 |\n| --- | --- | --- | --- |\n| Max | 43 | 43 | 19 |",1]
["|  | All | Airline1 | Airline2 |\n| --- | --- | --- | --- |\n| Min | 1 | 3 | 1 |\n| Q1 | 1 | 3 | 1 |\n| Median | 3 | 4 | 1 |\n| Mean | 3.38 | 4.67 | 1.43 |\n| Q3 | 4 | 5 | 2 |","| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 1800 | 1800 | 1800 | 1800 |\n| Min | 48s | 62s | 33s | 62s |\n| Max(=total) | 418s | 558s | 499s | 279s |\n| Avg | 244s | 181s | 267s | 165s |\n| Var | 10,061 | 10,376 | 17,460 | 4,107 |\n| SD | 100 | 102 | 132 | 65 |\n| 75thperc. | 330s | 221s | 381s | 220s |\n| 95thperc. | 398s | 440s | 471s | 265s |",0]
["|  | All | Airline1 | Airline2 |\n| --- | --- | --- | --- |\n| Min | 1 | 3 | 1 |\n| Q1 | 1 | 3 | 1 |","| Median | 3 | 4 | 1 |\n| --- | --- | --- | --- |\n| Mean | 3.38 | 4.67 | 1.43 |\n| Q3 | 4 | 5 | 2 |\n| 95thper. | 8 | 9 | 3 |\n| Max | 43 | 43 | 19 |",1]
["|  | All | Airline1 | Airline2 |\n| --- | --- | --- | --- |\n| Min | 1 | 3 | 1 |\n| Q1 | 1 | 3 | 1 |","| 75thperc. | 330s | 221s | 381s | 220s |\n| --- | --- | --- | --- | --- |\n| 95thperc. | 398s | 440s | 471s | 265s |",0]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 47.64 | 48.62 |","| Multi-Token(L=1) | 45.69 | 47.21 |\n| --- | --- | --- |\n| Multi-Token(L=2) | 44.15 | 46.12 |\n| Multi-Token(L=3) | 45.19 | 46.84 |\n| Multi-Emb(E=2) | 44.80 | 46.32 |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",1]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 47.64 | 48.62 |","| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 41.46 | 40.72 |\n| Multi-Token(L=1) | 49.86 | 50.99 |\n| Multi-Token(L=2) | 38.61 | 37.22 |\n| Multi-Token(L=3) | 33.01 | 32.19 |\n| Multi-Emb(E=2) | 40.30 | 39.28 |\n| Multi-Emb(E=3) | 45.72 | 44.40 |",0]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 47.64 | 48.62 |","| Multi-Token(L=1) | 45.69 | 47.21 |\n| --- | --- | --- |\n| Multi-Token(L=2) | 44.15 | 46.12 |\n| Multi-Token(L=3) | 45.19 | 46.84 |\n| Multi-Emb(E=2) | 44.80 | 46.32 |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",1]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 47.64 | 48.62 |","| Multi-Token(L=2) | 38.61 | 37.22 |\n| --- | --- | --- |\n| Multi-Token(L=3) | 33.01 | 32.19 |\n| Multi-Emb(E=2) | 40.30 | 39.28 |\n| Multi-Emb(E=3) | 45.72 | 44.40 |",0]
["| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 |\n|  | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 |\n|  | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |\n|  | 100 | 1193K | Twitter(27B) | 97.02 | 93.01 | 87.33 |\n| BLSTMWE(10m) | 100 | 100K | USnews(10M) | 96.61 | 91.91 | 84.66 |\n| BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 |\n| BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 |","| BLSTMWE(all)+ | 100 | 113K | USnews(536M) | 97.26 | 94.59 | 89.64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RANDOM | 100 | 100K | N/A | 96.61 | 91.71 | 82.52 |",1]
["| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 |\n|  | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 |\n|  | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |\n|  | 100 | 1193K | Twitter(27B) | 97.02 | 93.01 | 87.33 |\n| BLSTMWE(10m) | 100 | 100K | USnews(10M) | 96.61 | 91.91 | 84.66 |\n| BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 |\n| BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 |","| WordEmbeddingModel | Classiﬁcationaccuracyontestingdataset |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| N=12,920 | N=2,295 | N=2,186 | N=308 |  |  |  |  |  |\n| RF | SVM | RF | SVM | RF | SVM | RF | SVM |  |\n| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |\n| GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 |\n| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |\n| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |\n| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |\n| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |\n| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",0]
["| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 |\n|  | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 |\n|  | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |","|  | 100 | 1193K | Twitter(27B) | 97.02 | 93.01 | 87.33 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BLSTMWE(10m) | 100 | 100K | USnews(10M) | 96.61 | 91.91 | 84.66 |\n| BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 |\n| BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 |\n| BLSTMWE(all)+ | 100 | 113K | USnews(536M) | 97.26 | 94.59 | 89.64 |\n| RANDOM | 100 | 100K | N/A | 96.61 | 91.71 | 82.52 |",1]
["| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 |\n|  | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 |\n|  | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |","| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 |\n| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |\n| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |\n| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |\n| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |\n| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",0]
["| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- | --- |\n| mAP | no | 160x120 | 0.8880.8500.6420.8030.674 |\n| mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 |\n| MLE | no | 160x120 | 1.3651.3911.9081.3691.551 |\n| MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 |","| R | no | 160x120 | 0.9700.9290.8000.9290.852 |\n| --- | --- | --- | --- |\n| R | yes | 160x120 | 0.8110.7110.1410.1360.148 |\n| mAP | no | 320x240 | 0.8920.8160.4050.6780.686 |\n| mAP | yes | 320x240 | 0.8460.6870.0180.0720.077 |\n| MLE | no | 320x240 | 1.4551.4501.9141.4381.592 |\n| MLE | yes | 320x240 | 1.5331.6052.2001.7641.848 |\n| R | no | 320x240 | 0.9590.9200.8120.8960.827 |\n| R | yes | 320x240 | 0.7650.6750.0990.0810.104 |",1]
["| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- | --- |\n| mAP | no | 160x120 | 0.8880.8500.6420.8030.674 |\n| mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 |\n| MLE | no | 160x120 | 1.3651.3911.9081.3691.551 |\n| MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 |","| Metric | Noise | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- |\n| mAP | nonoise | 0.9790.9800.4050.6780.686 |\n| mAP | noise | 0.9710.9390.0610.2130.157 |\n| MLE | nonoise | 0.8600.9221.6561.2451.188 |\n| MLE | noise | 1.0121.0781.7661.4091.383 |",0]
["| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- | --- |\n| mAP | no | 160x120 | 0.8880.8500.6420.8030.674 |\n| mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 |","| MLE | no | 160x120 | 1.3651.3911.9081.3691.551 |\n| --- | --- | --- | --- |\n| MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 |\n| R | no | 160x120 | 0.9700.9290.8000.9290.852 |\n| R | yes | 160x120 | 0.8110.7110.1410.1360.148 |\n| mAP | no | 320x240 | 0.8920.8160.4050.6780.686 |\n| mAP | yes | 320x240 | 0.8460.6870.0180.0720.077 |\n| MLE | no | 320x240 | 1.4551.4501.9141.4381.592 |\n| MLE | yes | 320x240 | 1.5331.6052.2001.7641.848 |\n| R | no | 320x240 | 0.9590.9200.8120.8960.827 |\n| R | yes | 320x240 | 0.7650.6750.0990.0810.104 |",1]
["| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- | --- |\n| mAP | no | 160x120 | 0.8880.8500.6420.8030.674 |\n| mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 |","| MLE | nonoise | 0.8600.9221.6561.2451.188 |\n| --- | --- | --- |\n| MLE | noise | 1.0121.0781.7661.4091.383 |",0]
["| method | 2x | 4x | 8x |\n| --- | --- | --- | --- |\n| bicubic | 1.6744 | 2.2466 | 3.4520 |\n| nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |","| JID | 1.0169 | 1.5257 | 2.1921 |\n| --- | --- | --- | --- |\n| ours-trainHR | 0.9673 | 1.4906 | 2.1904 |",1]
["| method | 2x | 4x | 8x |\n| --- | --- | --- | --- |\n| bicubic | 1.6744 | 2.2466 | 3.4520 |\n| nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |","| Method | 800 | 2500 | 10000 | 40000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) |\n| HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) |\n| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.236 | 1.27 | 5.84 | 42.3 |\n| HF | 0.966 | 2.24 | 8.52 | 37.4 |\n| BD | 38.0 | 116 | 475 | 1941 |\n| timing(sec) |  |  |  |  |",0]
["| method | 2x | 4x | 8x |\n| --- | --- | --- | --- |\n| bicubic | 1.6744 | 2.2466 | 3.4520 |\n| nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |","| JID | 1.0169 | 1.5257 | 2.1921 |\n| --- | --- | --- | --- |\n| ours-trainHR | 0.9673 | 1.4906 | 2.1904 |",1]
["| method | 2x | 4x | 8x |\n| --- | --- | --- | --- |\n| bicubic | 1.6744 | 2.2466 | 3.4520 |\n| nearest-neighbour | 2.0985 | 3.0034 | 4.1902 |","| BD | 38.0 | 116 | 475 | 1941 |\n| --- | --- | --- | --- | --- |\n| timing(sec) |  |  |  |  |",0]
["| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |\n| 0.4592 | 0.2090 | 0.3236 |","| 0.5393 | 0.2397 | 0.3751 |\n| --- | --- | --- |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",1]
["| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |\n| 0.4592 | 0.2090 | 0.3236 |","| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |","| 0.4592 | 0.2090 | 0.3236 |\n| --- | --- | --- |\n| 0.5393 | 0.2397 | 0.3751 |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",1]
["| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |","| 0.555 | 0.448 | 0.626 |\n| --- | --- | --- |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| DateandTimestamp(s) | Description |\n| --- | --- |\n| 7Mar.201416:42Z | MH370departsKualaLumpaAirport |\n| LastACARStransmission | 7Mar.201417:07Z |\n| Lossofsecondaryradar | 7Mar.201417:21:13Z |","| 7Mar.201418:22:12Z | LastMalaysianmilitaryradarcontact |\n| --- | --- |\n| 7Mar.201418:25Z-18:28Z | SatelliteDataUnit(SDU)log-onsequence |\n| 7Mar.201418:39-18:41Z | Unansweredground-to-airphonecall |\n| 7Mar.201419:41Zto8Mar.201400:11Z | SATCOMmetadataapprox.hourlyfromMH370 |\n| 8Mar.201400:19:29Z-00:19:37Z | PartialSDUlog-onsequence |",1]
["| DateandTimestamp(s) | Description |\n| --- | --- |\n| 7Mar.201416:42Z | MH370departsKualaLumpaAirport |\n| LastACARStransmission | 7Mar.201417:07Z |\n| Lossofsecondaryradar | 7Mar.201417:21:13Z |","| Identiﬁer | DateandTimestampofLog-on | DurationofPrecedingPowerOutage |\n| --- | --- | --- |\n| Log-on1 | 23rdFeb.23:57Z | Between381and442minutes |\n| Log-on2 | 26thFeb.14:11Z | Between295and354minutes |\n| Log-on3 | 5thMar.03:06Z | Between35and95minutes |\n| Log-on4 | 6thMar.13:29Z | Between43and103minutes |\n| Log-on5 | 6thMar.15:02Z | Between35and92minutes |\n| Log-on6 | 7thMar.12:50Z | Between228and288minutes |\n| Log-on7 | 7thMar.18:25Z | Between20and78minutes |",0]
["| DateandTimestamp(s) | Description |\n| --- | --- |\n| 7Mar.201416:42Z | MH370departsKualaLumpaAirport |\n| LastACARStransmission | 7Mar.201417:07Z |","| Lossofsecondaryradar | 7Mar.201417:21:13Z |\n| --- | --- |\n| 7Mar.201418:22:12Z | LastMalaysianmilitaryradarcontact |\n| 7Mar.201418:25Z-18:28Z | SatelliteDataUnit(SDU)log-onsequence |\n| 7Mar.201418:39-18:41Z | Unansweredground-to-airphonecall |\n| 7Mar.201419:41Zto8Mar.201400:11Z | SATCOMmetadataapprox.hourlyfromMH370 |\n| 8Mar.201400:19:29Z-00:19:37Z | PartialSDUlog-onsequence |",1]
["| DateandTimestamp(s) | Description |\n| --- | --- |\n| 7Mar.201416:42Z | MH370departsKualaLumpaAirport |\n| LastACARStransmission | 7Mar.201417:07Z |","| Log-on4 | 6thMar.13:29Z | Between43and103minutes |\n| --- | --- | --- |\n| Log-on5 | 6thMar.15:02Z | Between35and92minutes |\n| Log-on6 | 7thMar.12:50Z | Between228and288minutes |\n| Log-on7 | 7thMar.18:25Z | Between20and78minutes |",0]
["| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 |\n| MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 |\n| ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 |\n| SA | 0.688 | 0.692 | 0.623 | 0.696 | 0.655 | 0.694 |\n| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |","| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |",1]
["| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 |\n| MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 |\n| ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 |\n| SA | 0.688 | 0.692 | 0.623 | 0.696 | 0.655 | 0.694 |\n| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |","| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.846 | 0.854 | 0.029 | 0.112 | 0.438 | 0.446 |\n| MF | 0.861 | 0.837 | 0.059 | 0.209 | 0.460 | 0.523 |\n| ICM-iter | 0.722 | 0.797 | 0.312 | 0.379 | 0.517 | 0.588 |\n| SA | 0.806 | 0.837 | 0.234 | 0.202 | 0.520 | 0.520 |\n| ICM | 0.730 | 0.807 | 0.319 | 0.389 | 0.525 | 0.598 |\n| Gibbs | 0.840 | 0.840 | 0.233 | 0.197 | 0.537 | 0.518 |\n| LocPMAP | 0.753 | 0.826 | 0.337 | 0.404 | 0.545 | 0.615 |",0]
["| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 |\n| MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 |\n| ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 |\n| SA | 0.688 | 0.692 | 0.623 | 0.696 | 0.655 | 0.694 |\n| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |","| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |",1]
["| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 |\n| MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 |\n| ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 |\n| SA | 0.688 | 0.692 | 0.623 | 0.696 | 0.655 | 0.694 |\n| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |","| Gibbs | 0.840 | 0.840 | 0.233 | 0.197 | 0.537 | 0.518 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LocPMAP | 0.753 | 0.826 | 0.337 | 0.404 | 0.545 | 0.615 |",0]
["| Set<br>Label | Non-Temporal | Temporal |  |  |\n| --- | --- | --- | --- | --- |\n| ROP | Stage1 | Stage2 | Stage1 | Stage2 |\n| Instruction-levelEvents |  |  |  |  |","| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 |\n| --- | --- | --- | --- | --- | --- |\n| I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 |\n| I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.820 |\n| MicroarchitecturalEvents |  |  |  |  |  |\n| M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |\n| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |\n| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |\n| BothInstruction-levelandMicroarchitecturalEvents |  |  |  |  |  |\n| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 |\n| AM-1 | 0.678 | 0.916 | 0.781 | 0.995 | 0.823 |\n| AM-2 | 0.504 | 0.864 | 0.848 | 0.993 | 0.919 |",1]
["| Set<br>Label | Non-Temporal | Temporal |  |  |\n| --- | --- | --- | --- | --- |\n| ROP | Stage1 | Stage2 | Stage1 | Stage2 |\n| Instruction-levelEvents |  |  |  |  |","| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |\n| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |\n| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| Set<br>Label | Non-Temporal | Temporal |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ROP | Stage1 | Stage2 | Stage1 | Stage2 |  |\n| Instruction-levelEvents |  |  |  |  |  |\n| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 |\n| I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 |\n| I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.820 |\n| MicroarchitecturalEvents |  |  |  |  |  |\n| M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |\n| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |\n| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |\n| BothInstruction-levelandMicroarchitecturalEvents |  |  |  |  |  |","| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 |\n| --- | --- | --- | --- | --- | --- |\n| AM-1 | 0.678 | 0.916 | 0.781 | 0.995 | 0.823 |\n| AM-2 | 0.504 | 0.864 | 0.848 | 0.993 | 0.919 |",1]
["| Set<br>Label | Non-Temporal | Temporal |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ROP | Stage1 | Stage2 | Stage1 | Stage2 |  |\n| Instruction-levelEvents |  |  |  |  |  |\n| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 |\n| I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 |\n| I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.820 |\n| MicroarchitecturalEvents |  |  |  |  |  |\n| M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |\n| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |\n| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |\n| BothInstruction-levelandMicroarchitecturalEvents |  |  |  |  |  |","| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| --- | --- | --- | --- | --- | --- |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |\n| --- | --- | --- | --- | --- | --- |\n| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |","| γ3 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |\n| --- | --- | --- | --- | --- | --- |\n| γ2 | (D,D),(D,C) | (D,D),(D,C),(C,D) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |\n| γ1 | (D,D) | (D,D),(C,D) | (C,D) | (C,D) | (C,D) |\n|  | λ1 | λ2 | λ3 | λ4 | λ5 |",1]
["| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |\n| --- | --- | --- | --- | --- | --- |\n| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |","| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |\n| c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |\n| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) |\n| t1,7 | (60,75,75) | t1,8 | (59,76,76) | t1,9 | (58,77,77) | t1,10 | (57,78,78) |\n| t1,11 | (56,79,79) | t1,12 | (55,80,80) | t1,13 | (54,81,81) | t1,14 | (53,82,82) |\n| t1,15 | (52,82,82) | f1,1 | (65,67,67) | f1,2 | (64,68,68) | f1,3 | (63,69,69) |\n| f1,4 | (62,70,70) | f1,5 | (61,71,71) | f1,6 | (60,72,72) | f1,7 | (59,73,73) |\n| f1,8 | (58,74,74) | f1,9 | (57,75,75) | f1,10 | (56,76,76) | f1,11 | (55,77,77) |\n| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |\n| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |\n| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |\n| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |\n| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |\n| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |\n| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |\n| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |\n| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |\n| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |\n| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |\n| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |\n| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |\n| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |\n| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |\n| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) |",0]
["| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |\n| --- | --- | --- | --- | --- | --- |\n| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |\n| γ3 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |\n| γ2 | (D,D),(D,C) | (D,D),(D,C),(C,D) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |","| γ1 | (D,D) | (D,D),(C,D) | (C,D) | (C,D) | (C,D) |\n| --- | --- | --- | --- | --- | --- |\n|  | λ1 | λ2 | λ3 | λ4 | λ5 |",1]
["| γ5 | (D,C) | (D,C) | (D,C) | (C,C),(D,C) | (C,C) |\n| --- | --- | --- | --- | --- | --- |\n| γ4 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C),(C,C) | (C,C),(C,D) |\n| γ3 | (D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |\n| γ2 | (D,D),(D,C) | (D,D),(D,C),(C,D) | (C,D),(D,C) | (C,D),(D,C) | (C,D) |","| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |\n| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |\n| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |\n| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |\n| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |\n| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |\n| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |\n| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |\n| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |\n| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |\n| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |\n| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |\n| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |\n| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |\n| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 233,482,1000,3583,8916 |\n| Maximumnodedegreemaxk | 0.1N |\n| Averagenodedegreeavgk | 20 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 0.1N |","| Minimumcommunitysizeminc | Default |\n| --- | --- |\n| Communitysizedistributionτ2 | -2.5 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 0 |\n| OverlappingMembershipsOm | 0 |",1]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 233,482,1000,3583,8916 |\n| Maximumnodedegreemaxk | 0.1N |\n| Averagenodedegreeavgk | 20 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 0.1N |","| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |\n| Maximumnodedegreemaxk | 50 |\n| Averagenodedegreeavgk | 10 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 50,100 |\n| Minimumcommunitysizeminc | 10,20 |\n| Communitysizedistributionτ2 | -1 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 233,482,1000,3583,8916 |\n| Maximumnodedegreemaxk | 0.1N |\n| Averagenodedegreeavgk | 20 |\n| Degreedistributionτ1 | -2 |","| Maximumcommunitysizemaxc | 0.1N |\n| --- | --- |\n| Minimumcommunitysizeminc | Default |\n| Communitysizedistributionτ2 | -2.5 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 0 |\n| OverlappingMembershipsOm | 0 |",1]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 233,482,1000,3583,8916 |\n| Maximumnodedegreemaxk | 0.1N |\n| Averagenodedegreeavgk | 20 |\n| Degreedistributionτ1 | -2 |","| Communitysizedistributionτ2 | -1 |\n| --- | --- |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["|  |\n| --- |\n| MSE<br>#FPs<br>#FNs<br>Time |","| MSE<br>#FPs<br>#FNs<br>Time |\n| --- |\n| MSE<br>#FPs<br>#FNs<br>Time |\n| MSE<br>#FPs<br>#FNs<br>Time |\n| MSE<br>Time |",1]
["|  |\n| --- |\n| MSE<br>#FPs<br>#FNs<br>Time |","| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 8.08<br>16.14<br>24.24<br>32.32<br>40.35<br>48.42<br>56.44<br>64.55<br>72.82<br>80.81 | 0.57<br>1.11<br>1.70<br>2.24<br>2.79<br>3.35<br>3.96<br>4.25<br>5.75<br>5.28 |\n| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |\n| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |\n| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |",0]
["|  |\n| --- |\n| MSE<br>#FPs<br>#FNs<br>Time |","| MSE<br>#FPs<br>#FNs<br>Time |\n| --- |\n| MSE<br>#FPs<br>#FNs<br>Time |\n| MSE<br>#FPs<br>#FNs<br>Time |\n| MSE<br>Time |",1]
["|  |\n| --- |\n| MSE<br>#FPs<br>#FNs<br>Time |","| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |\n| --- | --- | --- | --- | --- |\n| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |\n| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |",0]
["| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #red |  | t,sec |  |  |  |  |  |  |  |  |  |\n| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |\n| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |\n| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |\n| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |\n| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |","| C1908 | 6 | 15.4 | 1.8 | 24 | 61.5 | 0.02 | 26 | 66.7 | 0.02 | 39 | 0.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| C2670 | 29 | 16.3 | 1.5 | 56 | 31.5 | 0.03 | 64 | 36.0 | 0.03 | 178 | 0.53 |\n| C3540 | 93 | 38 | 11.9 | 144 | 58.8 | 0.08 | 167 | 67.9 | 0.09 | 246 | 2.17 |\n| C5315 | 20 | 14 | 2.8 | 36 | 25.2 | 0.05 | 62 | 43.4 | 0.05 | 143 | 1.45 |\n| C6288 | 33 | 82.5 | 1.3 | 69 | 98.6 | 0.06 | 113 | 161.4 | 0.06 | 70 | 2.00 |\n| C7552 | 30 | 7.39 | 4.7 | 99 | 24.3 | 0.10 | 124 | 30.5 | 0.11 | 406 | 5.25 |\n| average | 35.2 | 28.9 | 4.00 | 43 | 40.1 | 0.036 | 56.3 | 54.6 | 0.037 | 105.5 | 1.59 |",1]
["| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #red |  | t,sec |  |  |  |  |  |  |  |  |  |\n| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |\n| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |\n| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |\n| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |\n| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |","| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #red |  | t,sec |  |  |  |  |  |  |  |  |  |\n| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |\n| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |\n| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |\n| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |\n| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |\n| C1908 | 6 | 15.4 | 1.8 | 24 | 61.5 | 0.02 | 26 | 66.7 | 0.02 | 39 | 0.51 |","| C2670 | 29 | 16.3 | 1.5 | 56 | 31.5 | 0.03 | 64 | 36.0 | 0.03 | 178 | 0.53 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| C3540 | 93 | 38 | 11.9 | 144 | 58.8 | 0.08 | 167 | 67.9 | 0.09 | 246 | 2.17 |\n| C5315 | 20 | 14 | 2.8 | 36 | 25.2 | 0.05 | 62 | 43.4 | 0.05 | 143 | 1.45 |\n| C6288 | 33 | 82.5 | 1.3 | 69 | 98.6 | 0.06 | 113 | 161.4 | 0.06 | 70 | 2.00 |\n| C7552 | 30 | 7.39 | 4.7 | 99 | 24.3 | 0.10 | 124 | 30.5 | 0.11 | 406 | 5.25 |\n| average | 35.2 | 28.9 | 4.00 | 43 | 40.1 | 0.036 | 56.3 | 54.6 | 0.037 | 105.5 | 1.59 |",1]
["| name | FIRE(resultsfrom) | Presentedwithout<br>4improvementsfromSection?? | Presented | ATPG |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #red |  | t,sec |  |  |  |  |  |  |  |  |  |\n| C17 | - | - | - | 0 | - | 0.01 | 0 | - | 0.00 | 0 | 0.00 |\n| C432 | - | - | - | 45 | 60.8 | 0.01 | 63 | 85.1 | 0.00 | 74 | 4.43 |\n| C499 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.27 |\n| C880 | - | - | - | 0 | 0 | 0.01 | 0 | 0 | 0.01 | 8 | 0.08 |\n| C1355 | - | - | - | 0 | - | 0.02 | 0 | - | 0.01 | 0 | 0.82 |\n| C1908 | 6 | 15.4 | 1.8 | 24 | 61.5 | 0.02 | 26 | 66.7 | 0.02 | 39 | 0.51 |","| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| 0 | 0 | 0 | 1 | 1 | 1 | 1 |","| 0 | 0 | 1 | 0 | 1 | 1 | * |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 1 | 1 | 1 | 1 | * |\n| 0 | 1 | 0 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 0 | 0 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 1 | 0 | 0 | 1 | 1 | * |\n| 1 | 1 | 0 | 1 | 1 | 0 | * |\n| 1 | 1 | 1 | 0 | 1 | 0 | * |\n| 1 | 1 | 1 | 1 | * | * | * |",1]
["| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| 0 | 0 | 0 | 1 | 1 | 1 | 1 |","| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |\n| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 0 | 1 | 0 | 1 | 1 | * |\n| 0 | 0 | 1 | 1 | 1 | 1 | * |","| 0 | 1 | 0 | 0 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 1 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 0 | 0 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 1 | 0 | 0 | 1 | 1 | * |\n| 1 | 1 | 0 | 1 | 1 | 0 | * |\n| 1 | 1 | 1 | 0 | 1 | 0 | * |\n| 1 | 1 | 1 | 1 | * | * | * |",1]
["| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 0 | 1 | 0 | 1 | 1 | * |\n| 0 | 0 | 1 | 1 | 1 | 1 | * |","| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |\n| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |","| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| --- | --- | --- | --- | --- |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",1]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |\n| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |\n| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |\n| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |\n| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |\n| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |",0]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |","| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |\n| --- | --- | --- | --- | --- |\n| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",1]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |","| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |\n| --- | --- | --- | --- | --- |\n| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |\n| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |\n| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |",0]
["| Model | Sensitivity | Speciﬁcity | Accuracy |\n| --- | --- | --- | --- |\n| SVM(best) | 0.8259 | 0.8324 | 0.8291 |\n| LR(best) | 0.7121 | 0.6879 | 0.6991 |","| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| --- | --- | --- | --- |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",1]
["| Model | Sensitivity | Speciﬁcity | Accuracy |\n| --- | --- | --- | --- |\n| SVM(best) | 0.8259 | 0.8324 | 0.8291 |\n| LR(best) | 0.7121 | 0.6879 | 0.6991 |","| Model | Sensitivity | Speciﬁcity | PPV | Accuracy |\n| --- | --- | --- | --- | --- |\n| K−means | 0.6555 | 0.7185 | 0.4473 | 0.6997 |\n| LOF | 0.0909 | 0.9519 | 0.5820 | 0.6959 |\n| OC-SVM | 1.0 | 0.9015 | 0.8227 | 0.9308 |\n| WeightedOC-SVM | 1.0 | 0.9481 | 0.8975 | 0.9635 |",0]
["| Model | Sensitivity | Speciﬁcity | Accuracy |\n| --- | --- | --- | --- |\n| SVM(best) | 0.8259 | 0.8324 | 0.8291 |\n| LR(best) | 0.7121 | 0.6879 | 0.6991 |","| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| --- | --- | --- | --- |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",1]
["| Model | Sensitivity | Speciﬁcity | Accuracy |\n| --- | --- | --- | --- |\n| SVM(best) | 0.8259 | 0.8324 | 0.8291 |\n| LR(best) | 0.7121 | 0.6879 | 0.6991 |","| OC-SVM | 1.0 | 0.9015 | 0.8227 | 0.9308 |\n| --- | --- | --- | --- | --- |\n| WeightedOC-SVM | 1.0 | 0.9481 | 0.8975 | 0.9635 |",0]
["| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |\n| --- | --- | --- | --- | --- | --- |\n| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |\n| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |","| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |\n| --- | --- | --- | --- | --- | --- |\n| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |\n| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |\n| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |\n| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |\n| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |",1]
["| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |\n| --- | --- | --- | --- | --- | --- |\n| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |\n| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |","| 79.75(79.47,80.03) | 80.20(80.02,80.35) | 80.68(80.14,81.21) | 80.99(80.65,81.30) |\n| --- | --- | --- | --- |\n| 44.98(44.06,45.68) | 46.10(45.37,46.84) | 46.75(46.35,47.36) | 47.02(46.59,47.59) |\n| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |\n| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |\n| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |\n| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |\n| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |",0]
["| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |\n| --- | --- | --- | --- | --- | --- |\n| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |\n| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |\n| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |","| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |\n| --- | --- | --- | --- | --- | --- |\n| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |\n| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |\n| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |\n| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |",1]
["| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |\n| --- | --- | --- | --- | --- | --- |\n| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |\n| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |\n| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |","| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |\n| --- | --- | --- | --- |\n| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |\n| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |\n| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |",0]
["| Variable | Description |\n| --- | --- |\n| V | setofnodesinagraph |\n| E | setofedgesinagraph |\n| B(e) | edgecapacityforedgee |\n| C(v) | nodecapacityfornodev |","| D | thesetofﬂowdemands |\n| --- | --- |\n| δ(v) | theedgesleavingvertexv |\n| δ(v) | theedgesenteringvertexv |\n| P | thesetofwalksfromsourcestodestinations |\n| p<br>i,π | walk-based;theamountofﬂowifromstotii<br>exactlyusingwalkπandprocessedatv |\n| f(e)i | edge-based;theamountofﬂowithat<br>traverseseonitswayfromstotii |\n| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",1]
["| Variable | Description |\n| --- | --- |\n| V | setofnodesinagraph |\n| E | setofedgesinagraph |\n| B(e) | edgecapacityforedgee |\n| C(v) | nodecapacityfornodev |","| Symbol | Deﬁnition |\n| --- | --- |\n| )G=(V,E0G0 | \\|truegraphwithn=\\|V\\|andm=\\|EG0 |\n| G=(V,E,p) | uncertaingraphconstructedfromG0 |\n| G=(V,E)G | samplegraphfromG,G(cid:118)G |\n| d(G),d(G)uu | degreeofnodeuinG,G |\n| ∆(d) | numberofnodeshavingdegreedinG |\n| N(u) | neighborsofnodeuinG |\n| Rσ | truncatednormaldistributionon[0,1] |\n| r←Reσ | asamplefromthedistributionRσ |\n| p(p)iuv | probabilityofedgee(e)iuv |\n| np | numberofpotentialedges,\\|E\\|=m+np |\n| A,A | adjacencymatricesofG,G0 |\n| PRW | randomwalktransitionmatrixofG0 |\n| B | uncertainadjacencymatrix,B=AP |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",0]
["| Variable | Description |\n| --- | --- |\n| V | setofnodesinagraph |\n| E | setofedgesinagraph |\n| B(e) | edgecapacityforedgee |\n| C(v) | nodecapacityfornodev |\n| D | thesetofﬂowdemands |\n| δ(v) | theedgesleavingvertexv |\n| δ(v) | theedgesenteringvertexv |\n| P | thesetofwalksfromsourcestodestinations |\n| p<br>i,π | walk-based;theamountofﬂowifromstotii<br>exactlyusingwalkπandprocessedatv |","| f(e)i | edge-based;theamountofﬂowithat<br>traverseseonitswayfromstotii |\n| --- | --- |\n| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",1]
["| Variable | Description |\n| --- | --- |\n| V | setofnodesinagraph |\n| E | setofedgesinagraph |\n| B(e) | edgecapacityforedgee |\n| C(v) | nodecapacityfornodev |\n| D | thesetofﬂowdemands |\n| δ(v) | theedgesleavingvertexv |\n| δ(v) | theedgesenteringvertexv |\n| P | thesetofwalksfromsourcestodestinations |\n| p<br>i,π | walk-based;theamountofﬂowifromstotii<br>exactlyusingwalkπandprocessedatv |","| np | numberofpotentialedges,\\|E\\|=m+np |\n| --- | --- |\n| A,A | adjacencymatricesofG,G0 |\n| PRW | randomwalktransitionmatrixofG0 |\n| B | uncertainadjacencymatrix,B=AP |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",0]
["| ID | Age | GPA | Gender | Height | Weight | Income |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |\n| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |","| 3 | 21 | 3.7 | female | 71in. | 250lb | $94,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | 26 | 3.4 | female | 62in. | 150lb | $112,000 |",1]
["| ID | Age | GPA | Gender | Height | Weight | Income |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |\n| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |","| Rule1 | Rule2 | Rule3 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IG | CC | IG | CC | IG | CC |  |\n| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |\n| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |\n| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |\n| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |\n| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |\n| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |\n| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |",0]
["| ID | Age | GPA | Gender | Height | Weight | Income |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |\n| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |","| 3 | 21 | 3.7 | female | 71in. | 250lb | $94,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | 26 | 3.4 | female | 62in. | 150lb | $112,000 |",1]
["| ID | Age | GPA | Gender | Height | Weight | Income |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 20 | 3.6 | male | 60in. | 170lb | $100,000 |\n| 2 | 19 | 4.0 | female | 75in. | 160lb | $20,000 |","| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |\n| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |",0]
["| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |\n| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |\n| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |\n| 0.1014 | 0.1171 | 0.1162 | 0.1074 | 0.1203 | 0.1140 | 0.1373 | 0.1316 | 0.1457 | 0.1848 | 0.0876 |","| 0.1246 | 0.1420 | 0.1422 | 0.1695 | - | 0.1176 | 0.2071 | 0.1985 | 0.2041 | 0.2296 | 0.0902 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.1208 | 0.1669 | 0.1557 | 0.1503 | - | 0.1394 | 0.2046 | 0.2069 | 0.2133 | 0.2435 | 0.1104 |\n| 0.0730 | - | 0.0913 | - | 0.1023 | 0.0798 | 0.1445 | 0.1432 | 0.1404 | 0.1840 | 0.0515 |\n| 0.0959 | 0.1029 | 0.1025 | 0.0854 | - | 0.1003 | 0.1471 | 0.1507 | 0.1408 | 0.1838 | 0.0752 |",1]
["| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |\n| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |\n| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |\n| 0.1014 | 0.1171 | 0.1162 | 0.1074 | 0.1203 | 0.1140 | 0.1373 | 0.1316 | 0.1457 | 0.1848 | 0.0876 |","|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |\n| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |\n| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |","| 0.1014 | 0.1171 | 0.1162 | 0.1074 | 0.1203 | 0.1140 | 0.1373 | 0.1316 | 0.1457 | 0.1848 | 0.0876 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.1246 | 0.1420 | 0.1422 | 0.1695 | - | 0.1176 | 0.2071 | 0.1985 | 0.2041 | 0.2296 | 0.0902 |\n| 0.1208 | 0.1669 | 0.1557 | 0.1503 | - | 0.1394 | 0.2046 | 0.2069 | 0.2133 | 0.2435 | 0.1104 |\n| 0.0730 | - | 0.0913 | - | 0.1023 | 0.0798 | 0.1445 | 0.1432 | 0.1404 | 0.1840 | 0.0515 |\n| 0.0959 | 0.1029 | 0.1025 | 0.0854 | - | 0.1003 | 0.1471 | 0.1507 | 0.1408 | 0.1838 | 0.0752 |",1]
["| DC | MDF | DeepMC | DMT | DISC | RFCN | DRFI | RBD | DSR | MC | DS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.0906 | 0.1081 | 0.1019 | 0.1601 | 0.1122 | 0.0973 | 0.1719 | 0.1739 | 0.1742 | 0.2037 | 0.0628 |\n| 0.0971 | 0.0916 | 0.0885 | 0.0758 | 0.1182 | 0.0945 | 0.1496 | 0.1467 | 0.1374 | 0.1863 | 0.0663 |\n| 0.0886 | 0.1198 | 0.0881 | - | 0.0772 | 0.1020 | 0.1454 | 0.1407 | 0.1614 | 0.1620 | 0.0552 |","| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| --- | --- | --- | --- | --- | --- |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["| Semantic:word2vec | AwA | CUB |  |  |\n| --- | --- | --- | --- | --- |\n| V | G | V | G |  |\n| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |","| Ours | 66.26 | 66.89 | 34.40 | 32.42 |\n| --- | --- | --- | --- | --- |\n| Semantic:GloVe | AwA | CUB |  |  |\n| V | G | V | G |  |\n| Akata’15<br>Xian’16<br>DMaP-I’17 | -<br>-<br>- | 58.80<br>62.90<br>- | -<br>-<br>- | 24.20<br>32.50<br>23.69 |\n| Ours | 62.01 | 64.73 | 32.08 | 29.66 |",1]
["| Semantic:word2vec | AwA | CUB |  |  |\n| --- | --- | --- | --- | --- |\n| V | G | V | G |  |\n| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |","| SEMANTIC | SYNTACTIC |  |  |\n| --- | --- | --- | --- |\n| “general”-similarity |  |  |  |\n| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |\n| “sees”-“see”+“bank”=˜ |  |  |  |\n| ﬁrestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |",0]
["| Semantic:word2vec | AwA | CUB |  |  |\n| --- | --- | --- | --- | --- |\n| V | G | V | G |  |\n| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |\n| Ours | 66.26 | 66.89 | 34.40 | 32.42 |\n| Semantic:GloVe | AwA | CUB |  |  |\n| V | G | V | G |  |","| Akata’15<br>Xian’16<br>DMaP-I’17 | -<br>-<br>- | 58.80<br>62.90<br>- | -<br>-<br>- | 24.20<br>32.50<br>23.69 |\n| --- | --- | --- | --- | --- |\n| Ours | 62.01 | 64.73 | 32.08 | 29.66 |",1]
["| Semantic:word2vec | AwA | CUB |  |  |\n| --- | --- | --- | --- | --- |\n| V | G | V | G |  |\n| Akata’15<br>Xian’16<br>Akata’16<br>Changpinyo’16<br>SCoRe’17<br>DMaP-I’17 | -<br>-<br>-<br>-<br>-<br>- | 51.20<br>61.10<br>-<br>57.50<br>60.88<br>- | -<br>-<br>33.90<br>-<br>-<br>- | 28.40<br>31.80<br>-<br>-<br>31.51<br>26.28 |\n| Ours | 66.26 | 66.89 | 34.40 | 32.42 |\n| Semantic:GloVe | AwA | CUB |  |  |\n| V | G | V | G |  |","| “sees”-“see”+“bank”=˜ |  |  |  |\n| --- | --- | --- | --- |\n| ﬁrestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |",0]
["| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |","| Inputsize | 56x56 | 52x52 | 26x26 | 22x22 | 18x18 | 9x9 | 5x5 | 1x1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernelsize | 5x5 | 2x2 | 5x5 | 5x5 | 2x2 | 5x5 | 5x5 | 1x1 |\n| Out.channels | 64 | 64 | 80 | 160 | 160 | 256 | 512 | 256 |\n| Stride | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 1 |\n| Nonlinearity | Tanh | - | Tanh | Tanh | - | Tanh | Tanh | Tanh |",1]
["| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |","| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |","| Inputsize | 56x56 | 52x52 | 26x26 | 22x22 | 18x18 | 9x9 | 5x5 | 1x1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernelsize | 5x5 | 2x2 | 5x5 | 5x5 | 2x2 | 5x5 | 5x5 | 1x1 |\n| Out.channels | 64 | 64 | 80 | 160 | 160 | 256 | 512 | 256 |\n| Stride | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 1 |\n| Nonlinearity | Tanh | - | Tanh | Tanh | - | Tanh | Tanh | Tanh |",1]
["| Layer | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Type | Conv | MaxPool | Conv | Conv | MaxPool | Conv | Conv | Conv |","| AvgPool | 6×6/1 | 320 | – |\n| --- | --- | --- | --- |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| BaselineSystem | 33.30 |","| Choetal. | 34.54 |\n| --- | --- |\n| BestWMT’14result | 37.0 |\n| Rescoringthebaseline1000-bestwithasingleforwardLSTM | 35.61 |\n| Rescoringthebaseline1000-bestwithasinglereversedLSTM | 35.85 |\n| Rescoringthebaseline1000-bestwithanensembleof5reversedLSTMs | 36.5 |\n| OracleRescoringoftheBaseline1000-bestlists | ∼45 |",1]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| BaselineSystem | 33.30 |","| ASRsystem |  |\n| --- | --- |\n| Inputunits | 23 |\n| Hiddenunits | 512 |\n| Outputunits | 27293 |\n| LSTMlayerdepth | 2 |\n| MTsystem |  |\n| Sourcevocabulary | 27293 |\n| Targetvocabulary | 33155 |\n| Embedsize | 128 |\n| Inputunits | 128 |\n| Hiddenunits | 512 |\n| Outputunits | 33155 |\n| LSTMlayerdepth | 2 |\n| Optimization |  |\n| Initiallearningrate | 0.001000 |\n| Learningdescendrate | 1.800000 |\n| Optimizingmethod | Adam |",0]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| BaselineSystem | 33.30 |\n| Choetal. | 34.54 |","| BestWMT’14result | 37.0 |\n| --- | --- |\n| Rescoringthebaseline1000-bestwithasingleforwardLSTM | 35.61 |\n| Rescoringthebaseline1000-bestwithasinglereversedLSTM | 35.85 |\n| Rescoringthebaseline1000-bestwithanensembleof5reversedLSTMs | 36.5 |\n| OracleRescoringoftheBaseline1000-bestlists | ∼45 |",1]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| BaselineSystem | 33.30 |\n| Choetal. | 34.54 |","| LSTMlayerdepth | 2 |\n| --- | --- |\n| Optimization |  |\n| Initiallearningrate | 0.001000 |\n| Learningdescendrate | 1.800000 |\n| Optimizingmethod | Adam |",0]
["| Name | Employment | PropertyHoldings |\n| --- | --- | --- |\n| Alice | CEO,DeutscheBank | 3560 |","| Bob | Manager,Verizon | 1200 |\n| --- | --- | --- |\n| Christine | Assistant,NYU | 720 |\n| Robert | CEO,Microsoft | 5430 |",1]
["| Name | Employment | PropertyHoldings |\n| --- | --- | --- |\n| Alice | CEO,DeutscheBank | 3560 |","| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["| Name | Employment | PropertyHoldings |\n| --- | --- | --- |\n| Alice | CEO,DeutscheBank | 3560 |\n| Bob | Manager,Verizon | 1200 |","| Christine | Assistant,NYU | 720 |\n| --- | --- | --- |\n| Robert | CEO,Microsoft | 5430 |",1]
["| Name | Employment | PropertyHoldings |\n| --- | --- | --- |\n| Alice | CEO,DeutscheBank | 3560 |\n| Bob | Manager,Verizon | 1200 |","| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| --- | --- | --- | --- | --- |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["|  | 321×481pixelimages |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |","| SIFT | 0.039 | 0.017 | 25 | 59 | - |\n| --- | --- | --- | --- | --- | --- |\n| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |\n| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |\n| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |\n| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |\n| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |",1]
["|  | 321×481pixelimages |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |","| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["|  | 321×481pixelimages |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |\n| SIFT | 0.039 | 0.017 | 25 | 59 | - |\n| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |\n| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |","| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |\n| --- | --- | --- | --- | --- | --- |\n| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |\n| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |",1]
["|  | 321×481pixelimages |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |\n| SIFT | 0.039 | 0.017 | 25 | 59 | - |\n| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |\n| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |","| 101 | 600K | 75h | 8x7.5G |\n| --- | --- | --- | --- |\n| 101 | 4M | ¿500h | 8x8G |",0]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |\n| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |\n| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |\n| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |\n| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |","| Mean | 21.24 | 23.05 | 27.23 | 25.21 | 25.36 |\n| --- | --- | --- | --- | --- | --- |\n| SD | 1.01 | 1.24 | 1.93 | 0.83 | 0.96 |",1]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |\n| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |\n| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |\n| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |\n| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |","| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |\n| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |\n| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |\n| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |\n| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |\n| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |\n| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |\n| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |\n| 9 | 8.90 | 11.78 | 10.92 | 10.25 | 12.28 |\n| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |\n| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",0]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |\n| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |\n| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |\n| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |","| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |\n| --- | --- | --- | --- | --- | --- |\n| Mean | 21.24 | 23.05 | 27.23 | 25.21 | 25.36 |\n| SD | 1.01 | 1.24 | 1.93 | 0.83 | 0.96 |",1]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |\n| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |\n| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |\n| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |","| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |\n| --- | --- | --- | --- | --- | --- |\n| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",0]
["| Hidden-size | Output-size | i-vectors | Depth | Parameters |\n| --- | --- | --- | --- | --- |\n| 512 | 9000 | N | 6 | 43.0M |\n| 512 | 9000 | Y | 6 | 43.4M |","| 512 | 27000 | N | 6 | 61.4M |\n| --- | --- | --- | --- | --- |\n| 512 | 27000 | Y | 6 | 61.8M |",1]
["| Hidden-size | Output-size | i-vectors | Depth | Parameters |\n| --- | --- | --- | --- | --- |\n| 512 | 9000 | N | 6 | 43.0M |\n| 512 | 9000 | Y | 6 | 43.4M |","| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["| Hidden-size | Output-size | i-vectors | Depth | Parameters |\n| --- | --- | --- | --- | --- |\n| 512 | 9000 | N | 6 | 43.0M |","| 512 | 9000 | Y | 6 | 43.4M |\n| --- | --- | --- | --- | --- |\n| 512 | 27000 | N | 6 | 61.4M |\n| 512 | 27000 | Y | 6 | 61.8M |",1]
["| Hidden-size | Output-size | i-vectors | Depth | Parameters |\n| --- | --- | --- | --- | --- |\n| 512 | 9000 | N | 6 | 43.0M |","| 101 | 60K | 9h | 8x6.5G |\n| --- | --- | --- | --- |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["| Measure | H | A | MPI |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| corr | p-value | corr | p-value | corr | p-value |  |\n| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |\n| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |\n| GravityResidual | -0.81 | 0.0003 | -0.76 | 0.0015 | -0.79 | 0.0007 |\n| Introversion | 0.82 | 0.0002 | 0.70 | 0.0040 | 0.79 | 0.0006 |","| Activity(Normalized) | -0.81 | 0.0008 | -0.76 | 0.0003 | -0.79 | 0.0015 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Activity(Raw) | -0.80 | 0.0006 | -0.68 | 0.0075 | -0.71 | 0.0040 |",1]
["| Measure | H | A | MPI |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| corr | p-value | corr | p-value | corr | p-value |  |\n| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |\n| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |\n| GravityResidual | -0.81 | 0.0003 | -0.76 | 0.0015 | -0.79 | 0.0007 |\n| Introversion | 0.82 | 0.0002 | 0.70 | 0.0040 | 0.79 | 0.0006 |","| Activities | PT | GL | BD | PN | PO | DS | HT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |\n| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |\n| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |\n| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",0]
["| Measure | H | A | MPI |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| corr | p-value | corr | p-value | corr | p-value |  |\n| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |\n| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |","| GravityResidual | -0.81 | 0.0003 | -0.76 | 0.0015 | -0.79 | 0.0007 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Introversion | 0.82 | 0.0002 | 0.70 | 0.0040 | 0.79 | 0.0006 |\n| Activity(Normalized) | -0.81 | 0.0008 | -0.76 | 0.0003 | -0.79 | 0.0015 |\n| Activity(Raw) | -0.80 | 0.0006 | -0.68 | 0.0075 | -0.71 | 0.0040 |",1]
["| Measure | H | A | MPI |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| corr | p-value | corr | p-value | corr | p-value |  |\n| PageRank | -0.87 | −5<br>6×10 | -0.81 | 0.0004 | -0.82 | 0.0003 |\n| EigenvalueCentrality | -0.83 | 0.0002 | -0.80 | 0.0005 | -0.79 | 0.0007 |","| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |\n| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",0]
["|  | DBPedia | WatDiv |\n| --- | --- | --- |\n| SHAPE | 2.99 | 1.74 |","| WARP | 1.01 | 1.54 |\n| --- | --- | --- |\n| VF | 1.38 | 1.04 |\n| HF | 1.42 | 1.06 |",1]
["|  | DBPedia | WatDiv |\n| --- | --- | --- |\n| SHAPE | 2.99 | 1.74 |","|  | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |\n| --- | --- | --- | --- | --- | --- |\n| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |\n| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |\n| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",0]
["|  | DBPedia | WatDiv |\n| --- | --- | --- |\n| SHAPE | 2.99 | 1.74 |\n| WARP | 1.01 | 1.54 |","| VF | 1.38 | 1.04 |\n| --- | --- | --- |\n| HF | 1.42 | 1.06 |",1]
["|  | DBPedia | WatDiv |\n| --- | --- | --- |\n| SHAPE | 2.99 | 1.74 |\n| WARP | 1.01 | 1.54 |","| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| --- | --- | --- | --- | --- | --- |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",0]
["| #Params/<br>FLOPs | C |\n| --- | --- |\n| ≈4700/<br>6<br>≈4.8×10 | 64 |\n| 144 |  |","| ≈10000/<br>7<br>≈10 | 96 |\n| --- | --- |\n| 256 |  |\n| ≈17000/<br>7<br>≈1.7×10 | 128 |\n| 361 |  |",1]
["| #Params/<br>FLOPs | C |\n| --- | --- |\n| ≈4700/<br>6<br>≈4.8×10 | 64 |\n| 144 |  |","| Conv1 | 96×7×7,st.2,pad0 |\n| --- | --- |\n| Conv2 | 256×5×5,st.1,pad1 |\n| Conv3 | 512×3×3,st.1,pad1 |\n| Conv4 | 512×3×3,st.1,pad1 |\n| Conv5 | 512×3×3,st.1,pad1 |\n| Full6 | 4096dropout |\n| Full7 | 4096dropout |\n| Full8 | 1000softmax |",0]
["| #Params/<br>FLOPs | C |\n| --- | --- |\n| ≈4700/<br>6<br>≈4.8×10 | 64 |\n| 144 |  |\n| ≈10000/<br>7<br>≈10 | 96 |\n| 256 |  |","| ≈17000/<br>7<br>≈1.7×10 | 128 |\n| --- | --- |\n| 361 |  |",1]
["| #Params/<br>FLOPs | C |\n| --- | --- |\n| ≈4700/<br>6<br>≈4.8×10 | 64 |\n| 144 |  |\n| ≈10000/<br>7<br>≈10 | 96 |\n| 256 |  |","| Conv3 | 512×3×3,st.1,pad1 |\n| --- | --- |\n| Conv4 | 512×3×3,st.1,pad1 |\n| Conv5 | 512×3×3,st.1,pad1 |\n| Full6 | 4096dropout |\n| Full7 | 4096dropout |\n| Full8 | 1000softmax |",0]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| L125.ash608 | 142 | 82 | 2.375 | 0.50 |\n| L125.will199 | 135 | 119 | 2.562 | 0.35 |\n| L125.west0167 | 69 | 73 | 1.906 | 0.22 |\n| ash331 | 183 | 212 | 2.812 | 0.82 |\n| west0132 | 105 | 85 | 4.297 | 0.42 |\n| rw136 | 1635 | 17386 | 28.875 | 57.57 |\n| bcspwr03 | 99 | 73 | 2.422 | 0.38 |\n| gre115 | 5573 | 6659 | 82.812 | 28.77 |\n| L125.dw162 | 469 | 214 | 8.360 | 1.15 |","| L125.can187 | 786 | 5353 | 16.984 | 23.22 |\n| --- | --- | --- | --- | --- |\n| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |\n| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |\n| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |\n| can144 | 1362 | 64203 | 31.250 | 443.49 |\n| lunda | 385 | 2705 | 45.891 | 155.29 |\n| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |\n| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |\n| L125.fs1831 | 240 | 1175 | 35.016 | 36.21 |\n| bcsstk04 | 600 | 89 | 26.796 | 80.01 |\n| arc130 | 268 | 129 | 99.328 | 137.42 |\n| moyenne | 1466 | 16414 | 53.981 | 147.92 |",1]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| L125.ash608 | 142 | 82 | 2.375 | 0.50 |\n| L125.will199 | 135 | 119 | 2.562 | 0.35 |\n| L125.west0167 | 69 | 73 | 1.906 | 0.22 |\n| ash331 | 183 | 212 | 2.812 | 0.82 |\n| west0132 | 105 | 85 | 4.297 | 0.42 |\n| rw136 | 1635 | 17386 | 28.875 | 57.57 |\n| bcspwr03 | 99 | 73 | 2.422 | 0.38 |\n| gre115 | 5573 | 6659 | 82.812 | 28.77 |\n| L125.dw162 | 469 | 214 | 8.360 | 1.15 |","| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |\n| can62 | 57 | 119 | 0.500 | 0.15 |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| L125.ash608 | 142 | 82 | 2.375 | 0.50 |\n| L125.will199 | 135 | 119 | 2.562 | 0.35 |\n| L125.west0167 | 69 | 73 | 1.906 | 0.22 |\n| ash331 | 183 | 212 | 2.812 | 0.82 |\n| west0132 | 105 | 85 | 4.297 | 0.42 |\n| rw136 | 1635 | 17386 | 28.875 | 57.57 |\n| bcspwr03 | 99 | 73 | 2.422 | 0.38 |\n| gre115 | 5573 | 6659 | 82.812 | 28.77 |\n| L125.dw162 | 469 | 214 | 8.360 | 1.15 |\n| L125.can187 | 786 | 5353 | 16.984 | 23.22 |\n| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |\n| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |\n| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |\n| can144 | 1362 | 64203 | 31.250 | 443.49 |\n| lunda | 385 | 2705 | 45.891 | 155.29 |\n| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |\n| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |","| L125.fs1831 | 240 | 1175 | 35.016 | 36.21 |\n| --- | --- | --- | --- | --- |\n| bcsstk04 | 600 | 89 | 26.796 | 80.01 |\n| arc130 | 268 | 129 | 99.328 | 137.42 |\n| moyenne | 1466 | 16414 | 53.981 | 147.92 |",1]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| L125.ash608 | 142 | 82 | 2.375 | 0.50 |\n| L125.will199 | 135 | 119 | 2.562 | 0.35 |\n| L125.west0167 | 69 | 73 | 1.906 | 0.22 |\n| ash331 | 183 | 212 | 2.812 | 0.82 |\n| west0132 | 105 | 85 | 4.297 | 0.42 |\n| rw136 | 1635 | 17386 | 28.875 | 57.57 |\n| bcspwr03 | 99 | 73 | 2.422 | 0.38 |\n| gre115 | 5573 | 6659 | 82.812 | 28.77 |\n| L125.dw162 | 469 | 214 | 8.360 | 1.15 |\n| L125.can187 | 786 | 5353 | 16.984 | 23.22 |\n| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |\n| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |\n| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |\n| can144 | 1362 | 64203 | 31.250 | 443.49 |\n| lunda | 385 | 2705 | 45.891 | 155.29 |\n| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |\n| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |","| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| --- | --- | --- | --- | --- |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["| Relation | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| SYN | 0.309 | 0.179 | 0.226 |","| ANT | 0.298 | 0.206 | 0.243 |\n| --- | --- | --- | --- |\n| HYPER | 0.397 | 0.343 | 0.368 |\n| PART-OF | 0.200 | 0.116 | 0.147 |",1]
["| Relation | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| SYN | 0.309 | 0.179 | 0.226 |","| Precision | Recall | F-measure | MAE |\n| --- | --- | --- | --- |\n| 0.892 | 0.811 | 0.872 | 0.084 |\n| 0.852 | 0.746 | 0.825 | 0.132 |\n| 0.912 | 0.740 | 0.865 | 0.107 |\n| 0.873 | 0.730 | 0.836 | 0.129 |",0]
["| Relation | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| SYN | 0.309 | 0.179 | 0.226 |\n| ANT | 0.298 | 0.206 | 0.243 |","| HYPER | 0.397 | 0.343 | 0.368 |\n| --- | --- | --- | --- |\n| PART-OF | 0.200 | 0.116 | 0.147 |",1]
["| Relation | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| SYN | 0.309 | 0.179 | 0.226 |\n| ANT | 0.298 | 0.206 | 0.243 |","| 0.852 | 0.746 | 0.825 | 0.132 |\n| --- | --- | --- | --- |\n| 0.912 | 0.740 | 0.865 | 0.107 |\n| 0.873 | 0.730 | 0.836 | 0.129 |",0]
["| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |\n| --- | --- | --- | --- | --- | --- |\n| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |\n| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |","| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |\n| --- | --- | --- | --- | --- | --- |\n| deepResNet | 10 | 12 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | n/a | 1.16 | 22.51 | 0.86 |",1]
["| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |\n| --- | --- | --- | --- | --- | --- |\n| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |\n| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |","| copies | RBs | inferencetime(sec) | SNR(dB),independent | SSIM,independent |\n| --- | --- | --- | --- | --- |\n| 10 | 1 | 0.04 | 27.03 | 0.923 |\n| 5 | 2 | 0.10 | 27.01 | 0.9258 |\n| 2 | 5 | 0.12 | 28.14 | 0.944 |\n| 1 | 10 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | 1.16 | 22.51 | 0.86 |",0]
["| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |\n| --- | --- | --- | --- | --- | --- |\n| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |\n| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |\n| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |","| deepResNet | 10 | 12 | 0.0522 | 24.33 | 0.8810 |\n| --- | --- | --- | --- | --- | --- |\n| CS-TV | n/a | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | n/a | 1.16 | 22.51 | 0.86 |",1]
["| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |\n| --- | --- | --- | --- | --- | --- |\n| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |\n| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |\n| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |","| 2 | 5 | 0.12 | 28.14 | 0.944 |\n| --- | --- | --- | --- | --- |\n| 1 | 10 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | 1.16 | 22.51 | 0.86 |",0]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 97.9 | 99.3 | 98.6 | 63.9 | 97.5 | 94.2 | 69.5 | 88.7 |\n| FCNESPMsk | 96.6 | 99.6 | 99.0 | 52.6 | 98.8 | 93.3 | 72.1 | 87.4 |\n| FCNESPMM | 97.1 | 99.7 | 98.9 | 64.8 | 98.3 | 88.7 | 72.1 | 88.5 |\n| FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |\n| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |","| FCNMSPMsk | 96.5 | 99.5 | 98.7 | 66.4 | 98.4 | 94.3 | 67.5 | 88.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNMSPMM | 97.9 | 99.7 | 98.7 | 46.3 | 97.7 | 94.4 | 73.5 | 86.9 |\n| FCNMSPMMMsk | 97.6 | 99.5 | 98.9 | 57.9 | 97.2 | 92.9 | 72.7 | 88.1 |",1]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 97.9 | 99.3 | 98.6 | 63.9 | 97.5 | 94.2 | 69.5 | 88.7 |\n| FCNESPMsk | 96.6 | 99.6 | 99.0 | 52.6 | 98.8 | 93.3 | 72.1 | 87.4 |\n| FCNESPMM | 97.1 | 99.7 | 98.9 | 64.8 | 98.3 | 88.7 | 72.1 | 88.5 |\n| FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |\n| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |","|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |\n| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |\n| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |\n| FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |\n| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |\n| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |\n| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |\n| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 |",0]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 97.9 | 99.3 | 98.6 | 63.9 | 97.5 | 94.2 | 69.5 | 88.7 |\n| FCNESPMsk | 96.6 | 99.6 | 99.0 | 52.6 | 98.8 | 93.3 | 72.1 | 87.4 |\n| FCNESPMM | 97.1 | 99.7 | 98.9 | 64.8 | 98.3 | 88.7 | 72.1 | 88.5 |\n| FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |\n| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |","| FCNMSPMsk | 96.5 | 99.5 | 98.7 | 66.4 | 98.4 | 94.3 | 67.5 | 88.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNMSPMM | 97.9 | 99.7 | 98.7 | 46.3 | 97.7 | 94.4 | 73.5 | 86.9 |\n| FCNMSPMMMsk | 97.6 | 99.5 | 98.9 | 57.9 | 97.2 | 92.9 | 72.7 | 88.1 |",1]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 97.9 | 99.3 | 98.6 | 63.9 | 97.5 | 94.2 | 69.5 | 88.7 |\n| FCNESPMsk | 96.6 | 99.6 | 99.0 | 52.6 | 98.8 | 93.3 | 72.1 | 87.4 |\n| FCNESPMM | 97.1 | 99.7 | 98.9 | 64.8 | 98.3 | 88.7 | 72.1 | 88.5 |\n| FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |\n| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |","| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |\n| FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |\n| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |\n| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |\n| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |\n| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 |",0]
["| Extraction<br>Methods | Seqsize=10,000 |  |  |\n| --- | --- | --- | --- |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 35.64 | 23.93 | 9.04 |\n|  | 58.51 | 54.26 | 45.74 |\n|  | 47.87 | 27.66 | 0.00 |\n|  | 51.60 | 36.70 | 13.83 |\n|  | 65.43 | 61.17 | 48.40 |\n|  | 64.89 | 64.89 | 47.87 |\n|  | 71.28 | 70.21 | 59.57 |\n| MRE-IPI | 85.11 | 85.11 | 76.60 |\n| Extraction<br>Methods | Seqsize=1,000,000 |  |  |\n| α=0.10 | α=0.05 | α=0.01 |  |","|  | 10.64 | 7.45 | 1.06 |\n| --- | --- | --- | --- |\n|  | 3.19 | 2.13 | 0.00 |\n|  | 10.11 | 10.11 | 10.11 |\n|  | 8.51 | 8.51 | 8.51 |\n|  | 0.00 | 0.00 | 0.00 |\n|  | 0.00 | 0.00 | 0.00 |\n|  | 0.53 | 0.53 | 0.53 |\n| MRE-IPI | 90.96 | 82.98 | 54.79 |",1]
["| Extraction<br>Methods | Seqsize=10,000 |  |  |\n| --- | --- | --- | --- |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 35.64 | 23.93 | 9.04 |\n|  | 58.51 | 54.26 | 45.74 |\n|  | 47.87 | 27.66 | 0.00 |\n|  | 51.60 | 36.70 | 13.83 |\n|  | 65.43 | 61.17 | 48.40 |\n|  | 64.89 | 64.89 | 47.87 |\n|  | 71.28 | 70.21 | 59.57 |\n| MRE-IPI | 85.11 | 85.11 | 76.60 |\n| Extraction<br>Methods | Seqsize=1,000,000 |  |  |\n| α=0.10 | α=0.05 | α=0.01 |  |","| Code | Extractions | SD,L=1 | HD,L=3 | SD,L=3 | SD,L=3,m=3 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[6]) | 10.000.000 | 3.98e-02 | 6.59e-01 | 2.24e-02 | 5.70e-05 |\n| (3,1,[7]) | 10.000.000 | 1.73e-02 | 5.93e-01 | 9.43e-03 | 6.00e-06 |\n| (3,1,[8]) | 10.000.000 | 9.72e-03 | 5.09e-01 | 5.14e-03 | 1.00e-06 |\n| (3,1,[9]) | 10.000.000 | 5.07e-03 | 4.28e-01 | 2.65e-03 | <1e-07 |\n| (3,1,[10]) | 10.000.000 | 2.30e-03 | 3.39e-01 | 1.17e-03 | <1e-07 |",0]
["| Extraction<br>Methods | Seqsize=10,000 |  |  |\n| --- | --- | --- | --- |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 35.64 | 23.93 | 9.04 |\n|  | 58.51 | 54.26 | 45.74 |\n|  | 47.87 | 27.66 | 0.00 |\n|  | 51.60 | 36.70 | 13.83 |\n|  | 65.43 | 61.17 | 48.40 |\n|  | 64.89 | 64.89 | 47.87 |\n|  | 71.28 | 70.21 | 59.57 |\n| MRE-IPI | 85.11 | 85.11 | 76.60 |\n| Extraction<br>Methods | Seqsize=1,000,000 |  |  |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 10.64 | 7.45 | 1.06 |\n|  | 3.19 | 2.13 | 0.00 |\n|  | 10.11 | 10.11 | 10.11 |\n|  | 8.51 | 8.51 | 8.51 |\n|  | 0.00 | 0.00 | 0.00 |","|  | 0.00 | 0.00 | 0.00 |\n| --- | --- | --- | --- |\n|  | 0.53 | 0.53 | 0.53 |\n| MRE-IPI | 90.96 | 82.98 | 54.79 |",1]
["| Extraction<br>Methods | Seqsize=10,000 |  |  |\n| --- | --- | --- | --- |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 35.64 | 23.93 | 9.04 |\n|  | 58.51 | 54.26 | 45.74 |\n|  | 47.87 | 27.66 | 0.00 |\n|  | 51.60 | 36.70 | 13.83 |\n|  | 65.43 | 61.17 | 48.40 |\n|  | 64.89 | 64.89 | 47.87 |\n|  | 71.28 | 70.21 | 59.57 |\n| MRE-IPI | 85.11 | 85.11 | 76.60 |\n| Extraction<br>Methods | Seqsize=1,000,000 |  |  |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 10.64 | 7.45 | 1.06 |\n|  | 3.19 | 2.13 | 0.00 |\n|  | 10.11 | 10.11 | 10.11 |\n|  | 8.51 | 8.51 | 8.51 |\n|  | 0.00 | 0.00 | 0.00 |","| (3,1,[7]) | 10.000.000 | 1.73e-02 | 5.93e-01 | 9.43e-03 | 6.00e-06 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[8]) | 10.000.000 | 9.72e-03 | 5.09e-01 | 5.14e-03 | 1.00e-06 |\n| (3,1,[9]) | 10.000.000 | 5.07e-03 | 4.28e-01 | 2.65e-03 | <1e-07 |\n| (3,1,[10]) | 10.000.000 | 2.30e-03 | 3.39e-01 | 1.17e-03 | <1e-07 |",0]
["| Constructiontime | Indexsize | Querytime | Reference |\n| --- | --- | --- | --- |\n| O(k\\|E\\|log\\|V\\|) | O(k\\|V\\|) | O(1) | thispaper |","| 2<br>O(\\|V\\|+kk\\|V\\|) | O(k\\|V\\|) | O(1) |  |\n| --- | --- | --- | --- |\n| O(k\\|E\\|)orO(\\|V\\|\\|E\\|) | O(k\\|V\\|) | 2<br>O(logk) |  |\n| O(k(\\|V\\|+\\|E\\|)) | O(k\\|V\\|) | O(k)orO(\\|V\\|+\\|E\\|) |  |",1]
["| Constructiontime | Indexsize | Querytime | Reference |\n| --- | --- | --- | --- |\n| O(k\\|E\\|log\\|V\\|) | O(k\\|V\\|) | O(1) | thispaper |","| Step | Complexity |\n| --- | --- |\n| 1 | O(Nl)orO(Km) |\n| 2 | O(Nl)orO(Kml) |\n| 3 | O(Kt) |\n| 4 | O(N)orO(Km/l) |",0]
["| Constructiontime | Indexsize | Querytime | Reference |\n| --- | --- | --- | --- |\n| O(k\\|E\\|log\\|V\\|) | O(k\\|V\\|) | O(1) | thispaper |\n| 2<br>O(\\|V\\|+kk\\|V\\|) | O(k\\|V\\|) | O(1) |  |","| O(k\\|E\\|)orO(\\|V\\|\\|E\\|) | O(k\\|V\\|) | 2<br>O(logk) |  |\n| --- | --- | --- | --- |\n| O(k(\\|V\\|+\\|E\\|)) | O(k\\|V\\|) | O(k)orO(\\|V\\|+\\|E\\|) |  |",1]
["| Constructiontime | Indexsize | Querytime | Reference |\n| --- | --- | --- | --- |\n| O(k\\|E\\|log\\|V\\|) | O(k\\|V\\|) | O(1) | thispaper |\n| 2<br>O(\\|V\\|+kk\\|V\\|) | O(k\\|V\\|) | O(1) |  |","| 3 | O(Kt) |\n| --- | --- |\n| 4 | O(N)orO(Km/l) |",0]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP1 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 35978 | 57248 | 21270 | 905 | 22175 |\n| M2 | 10000 | 21590 | 34869 | 56459 | 21590 | 11513 | 33103 |\n| M3 | 10000 | 53005 | 3008 | 56013 | 53005 | 3292 | 56297 |","| M4 | 10000 | 32424 | 24691 | 57115 | 32424 | 6996 | 39420 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M5 | 10000 | 17364 | 38493 | 55857 | 17364 | 4612 | 21976 |\n| M6 | 10000 | 15841 | 41237 | 57078 | 15841 | 2066 | 17907 |\n| M7 | 10000 | 38732 | 18483 | 57215 | 38727 | 18459 | 57186 |\n| M8 | 1250 | 185 | 56915 | 57100 | 184 | 16077 | 16261 |\n| TotalExec-Time | 57248 | TotalExec-Time | 57186 |  |  |  |  |",1]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP1 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 35978 | 57248 | 21270 | 905 | 22175 |\n| M2 | 10000 | 21590 | 34869 | 56459 | 21590 | 11513 | 33103 |\n| M3 | 10000 | 53005 | 3008 | 56013 | 53005 | 3292 | 56297 |","| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |\n| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |\n| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |\n| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |\n| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |\n| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |\n| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |\n| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",0]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP1 | STEP2 | Time | STEP1 | STEP2 | Time |","| M1 | 10000 | 21270 | 35978 | 57248 | 21270 | 905 | 22175 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M2 | 10000 | 21590 | 34869 | 56459 | 21590 | 11513 | 33103 |\n| M3 | 10000 | 53005 | 3008 | 56013 | 53005 | 3292 | 56297 |\n| M4 | 10000 | 32424 | 24691 | 57115 | 32424 | 6996 | 39420 |\n| M5 | 10000 | 17364 | 38493 | 55857 | 17364 | 4612 | 21976 |\n| M6 | 10000 | 15841 | 41237 | 57078 | 15841 | 2066 | 17907 |\n| M7 | 10000 | 38732 | 18483 | 57215 | 38727 | 18459 | 57186 |\n| M8 | 1250 | 185 | 56915 | 57100 | 184 | 16077 | 16261 |\n| TotalExec-Time | 57248 | TotalExec-Time | 57186 |  |  |  |  |",1]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP1 | STEP2 | Time | STEP1 | STEP2 | Time |","| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |\n| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |\n| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |\n| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Dataset | Paviacenter | SalinasA | Samson | Jasperridge |\n| --- | --- | --- | --- | --- |\n| Classes | 9 | 6 | 3 | 4 |","| Ncut | 76.85 | 78.59 | 84.52 | 83.75 |\n| --- | --- | --- | --- | --- |\n| LRR+Ncut | 79.21 | 81.23 | 87.76 | 85.02 |\n| GNcut | 83.56 | 85.97 | 90.89 | 88.46 |\n| SC+Ncut | 85.01 | 86.33 | 93.61 | 90.05 |\n| Proposed | 88.67 | 88.99 | 97.01 | 94.71 |",1]
["| Dataset | Paviacenter | SalinasA | Samson | Jasperridge |\n| --- | --- | --- | --- | --- |\n| Classes | 9 | 6 | 3 | 4 |","| Dataset | c(EXIF,mm)err |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |  |\n| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |\n| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["| Dataset | Paviacenter | SalinasA | Samson | Jasperridge |\n| --- | --- | --- | --- | --- |\n| Classes | 9 | 6 | 3 | 4 |\n| Ncut | 76.85 | 78.59 | 84.52 | 83.75 |","| LRR+Ncut | 79.21 | 81.23 | 87.76 | 85.02 |\n| --- | --- | --- | --- | --- |\n| GNcut | 83.56 | 85.97 | 90.89 | 88.46 |\n| SC+Ncut | 85.01 | 86.33 | 93.61 | 90.05 |\n| Proposed | 88.67 | 88.99 | 97.01 | 94.71 |",1]
["| Dataset | Paviacenter | SalinasA | Samson | Jasperridge |\n| --- | --- | --- | --- | --- |\n| Classes | 9 | 6 | 3 | 4 |\n| Ncut | 76.85 | 78.59 | 84.52 | 83.75 |","| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |\n|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |","| fully-connected(4) |\n| --- |\n| Normalize |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |\n|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |","| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |\n|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(10) |  |  |  |  |  |\n| SoftMax |  |  |  |  |  |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |","|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |","|  |  |  |  |  | conv(40,48) |\n| --- | --- | --- | --- | --- | --- |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(10) |  |  |  |  |  |\n| SoftMax |  |  |  |  |  |",0]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |\n| Instant | 89,07 | 1,79 | 0,28 | 0,15 | 19,86 | 1,43 |","| Weak | 90,96 | 2,07 | 0,26 | 0,15 | 18,36 | 1,46 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Strong | 93,75 | 2,05 | 0,26 | 0,16 | 19,98 | 1,50 |",1]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |\n| Instant | 89,07 | 1,79 | 0,28 | 0,15 | 19,86 | 1,43 |","|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |\n| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |\n| Weak | 87,19 | 1,84 | 0,27 | 0,14 | 20,72 | 1,56 |\n| Strong | 88,02 | 1,82 | 0,26 | 0,16 | 19,73 | 1,44 |",0]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |","| Instant | 89,07 | 1,79 | 0,28 | 0,15 | 19,86 | 1,43 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Weak | 90,96 | 2,07 | 0,26 | 0,15 | 18,36 | 1,46 |\n| Strong | 93,75 | 2,05 | 0,26 | 0,16 | 19,98 | 1,50 |",1]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |","| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Weak | 87,19 | 1,84 | 0,27 | 0,14 | 20,72 | 1,56 |\n| Strong | 88,02 | 1,82 | 0,26 | 0,16 | 19,73 | 1,44 |",0]
["|  | Y=1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.62 | - | - | - | - |\n| 2 | 0.51 | 0.17 | - | - | - |\n| 3 | 0.48 | 0.09 | 0.08 | - | - |","| 4 | 0.45 | 0.04 | 0.05 | 0.04 | - |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 0.40 | 0.03 | 0.03 | 0.04 | 0.02 |",1]
["|  | Y=1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.62 | - | - | - | - |\n| 2 | 0.51 | 0.17 | - | - | - |\n| 3 | 0.48 | 0.09 | 0.08 | - | - |","| 1 | 5 |\n| --- | --- |\n| 4.19 | 3.85 |\n| 7.18 | 5.69 |\n| 2.91 | 2.72 |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",0]
["|  | Y=1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.62 | - | - | - | - |\n| 2 | 0.51 | 0.17 | - | - | - |","| 3 | 0.48 | 0.09 | 0.08 | - | - |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 0.45 | 0.04 | 0.05 | 0.04 | - |\n| 5 | 0.40 | 0.03 | 0.03 | 0.04 | 0.02 |",1]
["|  | Y=1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.62 | - | - | - | - |\n| 2 | 0.51 | 0.17 | - | - | - |","| 2.91 | 2.72 |\n| --- | --- |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",0]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 1.3182 | 88.4530 | 0.7315 |\n| M | 0±5 | 90±5 | 0±5 |","| Algorithm | RelativeTranslation(mm) |  |  |\n| --- | --- | --- | --- |\n| Tx | Ty | Tz |  |\n| III | 291.3321 | -17.2837 | -292.1382 |\n| M | 290±20 | 0±20 | 280±20 |",1]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 1.3182 | 88.4530 | 0.7315 |\n| M | 0±5 | 90±5 | 0±5 |","| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 17.7158 | -11.3660 | -80.1913 |\n| F | 17.5459 | -10.6024 | -78.9854 |\n| Algorithm | RelativeTranslation(mm) |  |  |\n| Tx | Ty | Tz |  |\n| III | 295.4183 | -232.4576 | 34.5004 |\n| F | 294.0235 | -229.8369 | 28.9739 |",0]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 1.3182 | 88.4530 | 0.7315 |\n| M | 0±5 | 90±5 | 0±5 |\n| Algorithm | RelativeTranslation(mm) |  |  |","| Tx | Ty | Tz |  |\n| --- | --- | --- | --- |\n| III | 291.3321 | -17.2837 | -292.1382 |\n| M | 290±20 | 0±20 | 280±20 |",1]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 1.3182 | 88.4530 | 0.7315 |\n| M | 0±5 | 90±5 | 0±5 |\n| Algorithm | RelativeTranslation(mm) |  |  |","| III | 295.4183 | -232.4576 | 34.5004 |\n| --- | --- | --- | --- |\n| F | 294.0235 | -229.8369 | 28.9739 |",0]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 |\n| Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 |\n| Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 |","| Skip-gram-2 | 0.269 | 0.433 | 0.206 | 0.437 | 0.197 | 0.411 | 0.228 | 0.537 | 0.445 | 0.620 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 |\n| BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 |\n| BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |",1]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 |\n| Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 |\n| Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 |","|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 |\n| Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 |\n| Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |\n| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |\n| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 |\n| BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 |\n| BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |",0]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |","| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 |\n| Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 |\n| Skip-gram-2 | 0.269 | 0.433 | 0.206 | 0.437 | 0.197 | 0.411 | 0.228 | 0.537 | 0.445 | 0.620 |\n| Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 |\n| BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 |\n| BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |",1]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |","| Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |\n| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |\n| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 |\n| BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 |\n| BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |",0]
["| Parameter | Value |\n| --- | --- |\n| MapSize | 20x20or30x30 |","| Lattice | Hexagonal |\n| --- | --- |\n| Numberofiterations | 200 |\n| Trainingneighborhoodradius | 8to2 |\n| Neighborhoodfunction | Gaussian |",1]
["| Parameter | Value |\n| --- | --- |\n| MapSize | 20x20or30x30 |","| ParameterName | ParameterDescritption | ParameterValue |\n| --- | --- | --- |\n| α | LearningRate | 0.001 |\n| β | RegularizationControl | 0.02 |\n| NEP | NumberofEpochs | 5000 |\n| U | NumberofSamples | 604 |\n| V | NumberofSNPs | 1980 |\n| F | NumberofFeatures | 400 |\n| eta1 | etaforTrait1 | 0.2 |\n| eta2 | etaforTrait2 | 0.2 |\n| K1 | KforTrait1 | 3 |\n| K2 | KforTrait2 | 4 |\n| [a,b] | BoundaryvaluesforPandQ | [0,1] |",0]
["| Parameter | Value |\n| --- | --- |\n| MapSize | 20x20or30x30 |","| Lattice | Hexagonal |\n| --- | --- |\n| Numberofiterations | 200 |\n| Trainingneighborhoodradius | 8to2 |\n| Neighborhoodfunction | Gaussian |",1]
["| Parameter | Value |\n| --- | --- |\n| MapSize | 20x20or30x30 |","| eta1 | etaforTrait1 | 0.2 |\n| --- | --- | --- |\n| eta2 | etaforTrait2 | 0.2 |\n| K1 | KforTrait1 | 3 |\n| K2 | KforTrait2 | 4 |\n| [a,b] | BoundaryvaluesforPandQ | [0,1] |",0]
["| language | ﬁnalstates | language | ﬁnalstates |\n| --- | --- | --- | --- |\n| L | 3,7,8 | pcpc(L) | 1,5,6,7 |","| c(L) | 1,2,4,5,6 | cpcp(L) | 2,3,6,7 |\n| --- | --- | --- | --- |\n| p(L) | 1,2,3,5,6,7,8 | cpcpc(L) | 2,3,4,8 |\n| pc(L) | 1,2,3,4,5,6,8 | pcpcp(L) | 1,2,3,5,6,7 |\n| cp(L) | 4 | pcpcpc(L) | 1,2,3,4,5,8 |\n| cpc(L) | 7 | cpcpcp(L) | 4,8 |\n| pcp(L) | 1,4,5,8 | cpcpcpc(L) | 6,7 |",1]
["| language | ﬁnalstates | language | ﬁnalstates |\n| --- | --- | --- | --- |\n| L | 3,7,8 | pcpc(L) | 1,5,6,7 |","| Combination | Pfd | Psd | Pas | Snns | Snn | Sns | Snsp |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C1 | 50 | 50 | 100 | 22.4 | 36.6 | 16.2 | 24.8 |\n| C2 | 50 | 70 | 100 | 31.5 | 27.7 | 22.7 | 18.1 |\n| C3 | 20 | 70 | 100 | 14.5 | 11.9 | 41 | 32.6 |\n| C4 | 20 | 50 | 100 | 10 | 15.9 | 29.2 | 44.9 |\n| C5 | 20 | 50 | 40 | 4 | 22 | 12 | 62 |\n| C6 | 20 | 70 | 40 | 5 | 20 | 16 | 59 |\n| C7 | 50 | 70 | 40 | 12 | 46 | 9 | 33 |\n| C8 | 50 | 50 | 40 | 9 | 45 | 6 | 40 |",0]
["| language | ﬁnalstates | language | ﬁnalstates |\n| --- | --- | --- | --- |\n| L | 3,7,8 | pcpc(L) | 1,5,6,7 |\n| c(L) | 1,2,4,5,6 | cpcp(L) | 2,3,6,7 |\n| p(L) | 1,2,3,5,6,7,8 | cpcpc(L) | 2,3,4,8 |\n| pc(L) | 1,2,3,4,5,6,8 | pcpcp(L) | 1,2,3,5,6,7 |\n| cp(L) | 4 | pcpcpc(L) | 1,2,3,4,5,8 |","| cpc(L) | 7 | cpcpcp(L) | 4,8 |\n| --- | --- | --- | --- |\n| pcp(L) | 1,4,5,8 | cpcpcpc(L) | 6,7 |",1]
["| language | ﬁnalstates | language | ﬁnalstates |\n| --- | --- | --- | --- |\n| L | 3,7,8 | pcpc(L) | 1,5,6,7 |\n| c(L) | 1,2,4,5,6 | cpcp(L) | 2,3,6,7 |\n| p(L) | 1,2,3,5,6,7,8 | cpcpc(L) | 2,3,4,8 |\n| pc(L) | 1,2,3,4,5,6,8 | pcpcp(L) | 1,2,3,5,6,7 |\n| cp(L) | 4 | pcpcpc(L) | 1,2,3,4,5,8 |","| C6 | 20 | 70 | 40 | 5 | 20 | 16 | 59 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C7 | 50 | 70 | 40 | 12 | 46 | 9 | 33 |\n| C8 | 50 | 50 | 40 | 9 | 45 | 6 | 40 |",0]
["| Features | Precision | Recall | AUC |\n| --- | --- | --- | --- |\n| FP | 0.818 | 0.789 | 0.807 |","| F+FPA | 0.846 | 0.864 | 0.853 |\n| --- | --- | --- | --- |\n| F+FPE | 0.902 | 0.807 | 0.860 |\n| F+F+FPEA | 0.898 | 0.927 | 0.911 |",1]
["| Features | Precision | Recall | AUC |\n| --- | --- | --- | --- |\n| FP | 0.818 | 0.789 | 0.807 |","|  | avg/total | Positive | Neutral |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Featurecombination | Prec | Recall | F1 | Prec | Recall | F1 | Prec | Recall | F1 | Prec |\n| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |\n| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |\n| +f1,f2,f4,f6,f7 | 0.59 | 0.46 | 0.49 | 0.30 | 0.43 | 0.35 | 0.26 | 0.54 | 0.35 | 0.76 |\n| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",0]
["| Features | Precision | Recall | AUC |\n| --- | --- | --- | --- |\n| FP | 0.818 | 0.789 | 0.807 |","| F+FPA | 0.846 | 0.864 | 0.853 |\n| --- | --- | --- | --- |\n| F+FPE | 0.902 | 0.807 | 0.860 |\n| F+F+FPEA | 0.898 | 0.927 | 0.911 |",1]
["| Features | Precision | Recall | AUC |\n| --- | --- | --- | --- |\n| FP | 0.818 | 0.789 | 0.807 |","| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |\n| +f1,f2,f4,f6,f7 | 0.59 | 0.46 | 0.49 | 0.30 | 0.43 | 0.35 | 0.26 | 0.54 | 0.35 | 0.76 |\n| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",0]
["| Method | Encoding(bits) |\n| --- | --- |\n| USPS | MNIST |","| OriginalImage | 256 | 784 |\n| --- | --- | --- |\n| Pixelindependentprobability<br>Pixeldependentprobability | 236<br>219 | 442<br>297 |\n| RBM<br>Herding | 149<br>144 | -<br>- |\n| DiﬀerencefromNNcenter | 140 | 178 |\n| ContextindependentDjVu | 91.7 | 119 |\n| Spatialprediction,Ronly<br>Spatialprediction,200units,UVonly<br>Spatialprediction,200units,full<br>Spatialprediction,400units,full<br>Spatialprediction,1000units,full | 91.5<br>87.4<br>84.5<br>83.8<br>81.0 | 109<br>97.8<br>94.8<br>91.2<br>92.2 |",1]
["| Method | Encoding(bits) |\n| --- | --- |\n| USPS | MNIST |","| image | sizer | size(array) | size(mtbdd)<br>(1)(2) |\n| --- | --- | --- | --- |\n| image0 | 27040000 | 81120 | 5134329 |\n| image1 | 1166400 | 3499 | 44615 |\n| image2 | 5760000 | 17280 | 801746 |\n| image3 | 29160000 | 87480 | 32911635 |\n| image4 | 29160000 | 87480 | 6991148 |",0]
["| Method | Encoding(bits) |\n| --- | --- |\n| USPS | MNIST |","| OriginalImage | 256 | 784 |\n| --- | --- | --- |\n| Pixelindependentprobability<br>Pixeldependentprobability | 236<br>219 | 442<br>297 |\n| RBM<br>Herding | 149<br>144 | -<br>- |\n| DiﬀerencefromNNcenter | 140 | 178 |\n| ContextindependentDjVu | 91.7 | 119 |\n| Spatialprediction,Ronly<br>Spatialprediction,200units,UVonly<br>Spatialprediction,200units,full<br>Spatialprediction,400units,full<br>Spatialprediction,1000units,full | 91.5<br>87.4<br>84.5<br>83.8<br>81.0 | 109<br>97.8<br>94.8<br>91.2<br>92.2 |",1]
["| Method | Encoding(bits) |\n| --- | --- |\n| USPS | MNIST |","| image1 | 1166400 | 3499 | 44615 |\n| --- | --- | --- | --- |\n| image2 | 5760000 | 17280 | 801746 |\n| image3 | 29160000 | 87480 | 32911635 |\n| image4 | 29160000 | 87480 | 6991148 |",0]
["| n | SizeofAn | n | SizeofAn |\n| --- | --- | --- | --- |\n| 0 | 16 | 8 | 3463008 |","| 1 | 240 | 9 | 2835240 |\n| --- | --- | --- | --- |\n| 2 | 1840 | 10 | 1337520 |\n| 3 | 17776 | 11 | 855576 |\n| 4 | 74952 | 12 | 170592 |\n| 5 | 223992 | 13 | 72216 |\n| 6 | 360540 | 14 | 42456 |\n| 7 | 1110864 | 15 | 23424 |",1]
["| n | SizeofAn | n | SizeofAn |\n| --- | --- | --- | --- |\n| 0 | 16 | 8 | 3463008 |","| N= | K=10 | K=15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PTP | RTP | VBP | PTP | RTP | VBP |  |\n| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |\n| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |\n| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |\n| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",0]
["| n | SizeofAn | n | SizeofAn |\n| --- | --- | --- | --- |\n| 0 | 16 | 8 | 3463008 |","| 1 | 240 | 9 | 2835240 |\n| --- | --- | --- | --- |\n| 2 | 1840 | 10 | 1337520 |\n| 3 | 17776 | 11 | 855576 |\n| 4 | 74952 | 12 | 170592 |\n| 5 | 223992 | 13 | 72216 |\n| 6 | 360540 | 14 | 42456 |\n| 7 | 1110864 | 15 | 23424 |",1]
["| n | SizeofAn | n | SizeofAn |\n| --- | --- | --- | --- |\n| 0 | 16 | 8 | 3463008 |","| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",0]
["| SemanticArchitecture | CBOW | CLOW | DIEM |\n| --- | --- | --- | --- |\n| SemanticVectorDim. | 500500 | 500 |  |","| SEMANTICTOTAL | 81.0280.19 | 80.19 |\n| --- | --- | --- |\n| adjective-to-adverb<br>opposite<br>comparative<br>superlative<br>present-participle<br>nationality-adjective<br>past-tense<br>plural<br>plural-verbs | 37.7035.08<br>36.2140.15<br>86.7187.31<br>80.1282.00<br>77.2780.78<br>90.4390.18<br>72.3773.40<br>80.1881.83<br>58.5163.68 | 94.55<br>74.60<br>92.49<br>87.61<br>93.27<br>71.04<br>47.56<br>93.69<br>95.97 |\n| SYNTACTICTOTAL | 72.0473.45 | 81.53 |\n| COMBINEDSCORE | 76.0876.49 | 80.93 |",1]
["| SemanticArchitecture | CBOW | CLOW | DIEM |\n| --- | --- | --- | --- |\n| SemanticVectorDim. | 500500 | 500 |  |","| Group | Name | Nqorig | Nq |\n| --- | --- | --- | --- |\n| 4 | family(genderinﬂections) | 506 | 305 |\n| 5 | gram1-adjective-to-adverb | 992 | 755 |\n| 6 | gram2-opposite | 812 | 305 |\n| 7 | gram3-comparative | 1332 | 1259 |\n| 8 | gram4-superlative | 1122 | 505 |\n| 9 | gram5-present-participle | 1056 | 991 |\n| 11 | gram7-past-tense | 1560 | 1331 |\n| 12 | gram8-plural(nouns) | 1332 | 991 |\n| 13 | gram9-plural-verbs | 870 | 649 |",0]
["| SemanticArchitecture | CBOW | CLOW | DIEM |\n| --- | --- | --- | --- |\n| SemanticVectorDim. | 500500 | 500 |  |\n| SEMANTICTOTAL | 81.0280.19 | 80.19 |  |\n| adjective-to-adverb<br>opposite<br>comparative<br>superlative<br>present-participle<br>nationality-adjective<br>past-tense<br>plural<br>plural-verbs | 37.7035.08<br>36.2140.15<br>86.7187.31<br>80.1282.00<br>77.2780.78<br>90.4390.18<br>72.3773.40<br>80.1881.83<br>58.5163.68 | 94.55<br>74.60<br>92.49<br>87.61<br>93.27<br>71.04<br>47.56<br>93.69<br>95.97 |  |","| SYNTACTICTOTAL | 72.0473.45 | 81.53 |\n| --- | --- | --- |\n| COMBINEDSCORE | 76.0876.49 | 80.93 |",1]
["| SemanticArchitecture | CBOW | CLOW | DIEM |\n| --- | --- | --- | --- |\n| SemanticVectorDim. | 500500 | 500 |  |\n| SEMANTICTOTAL | 81.0280.19 | 80.19 |  |\n| adjective-to-adverb<br>opposite<br>comparative<br>superlative<br>present-participle<br>nationality-adjective<br>past-tense<br>plural<br>plural-verbs | 37.7035.08<br>36.2140.15<br>86.7187.31<br>80.1282.00<br>77.2780.78<br>90.4390.18<br>72.3773.40<br>80.1881.83<br>58.5163.68 | 94.55<br>74.60<br>92.49<br>87.61<br>93.27<br>71.04<br>47.56<br>93.69<br>95.97 |  |","| 6 | gram2-opposite | 812 | 305 |\n| --- | --- | --- | --- |\n| 7 | gram3-comparative | 1332 | 1259 |\n| 8 | gram4-superlative | 1122 | 505 |\n| 9 | gram5-present-participle | 1056 | 991 |\n| 11 | gram7-past-tense | 1560 | 1331 |\n| 12 | gram8-plural(nouns) | 1332 | 991 |\n| 13 | gram9-plural-verbs | 870 | 649 |",0]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 4 | 0.02 | 0.62 | 2 | 4 |\n| 5 | 0.43 | 1.04 | 0 | 14 |\n| 6 | 17.90 | 1.56 | 8 | 26 |","| 7 | 301.26 | 2.57 | 28 | 132 |\n| --- | --- | --- | --- | --- |\n| 8 | 33681.66 | 9.43 | 94 | 320 |\n| 9 |  | 44.97 | 259 | 1224 |\n| 10 |  | 978.67 | 712 | 3594 |",1]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 4 | 0.02 | 0.62 | 2 | 4 |\n| 5 | 0.43 | 1.04 | 0 | 14 |\n| 6 | 17.90 | 1.56 | 8 | 26 |","| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 3 | 0.008 | 0.20 | 7 | 319 |\n| 4 | 0.11 | 0.42 | 18 | 7,384 |\n| 5 | 1.33 | 0.76 | 58 | 152,054 |\n| 6 | 13.03 | 2.75 | 171 | 4,305,758 |\n| 7 | 243.88 | 20.17 | 614 | 91,381,325 |\n| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 |",0]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 4 | 0.02 | 0.62 | 2 | 4 |\n| 5 | 0.43 | 1.04 | 0 | 14 |\n| 6 | 17.90 | 1.56 | 8 | 26 |\n| 7 | 301.26 | 2.57 | 28 | 132 |","| 8 | 33681.66 | 9.43 | 94 | 320 |\n| --- | --- | --- | --- | --- |\n| 9 |  | 44.97 | 259 | 1224 |\n| 10 |  | 978.67 | 712 | 3594 |",1]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 4 | 0.02 | 0.62 | 2 | 4 |\n| 5 | 0.43 | 1.04 | 0 | 14 |\n| 6 | 17.90 | 1.56 | 8 | 26 |\n| 7 | 301.26 | 2.57 | 28 | 132 |","| 5 | 1.33 | 0.76 | 58 | 152,054 |\n| --- | --- | --- | --- | --- |\n| 6 | 13.03 | 2.75 | 171 | 4,305,758 |\n| 7 | 243.88 | 20.17 | 614 | 91,381,325 |\n| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 |",0]
["|  | VIC0 | VICI | VICII | VICIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | C,C++,Python,Cshell,Fortran |  |  |  |\n| Sourceﬁles | 35 | 61 | 77 | 97 |","| Dataﬁles | 3689 | 6313 | 11460 | 11481 |\n| --- | --- | --- | --- | --- |\n| DependencyFiles | 247 | 260 | 314 | 357 |\n| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |\n| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s |",1]
["|  | VIC0 | VICI | VICII | VICIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | C,C++,Python,Cshell,Fortran |  |  |  |\n| Sourceﬁles | 35 | 61 | 77 | 97 |","|  | FIE0 | FIEI | FIEII | FIEIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |\n| SourceFiles | 19 | 20 | 24 | 29 |\n| DataFiles | 2 | 8 | 14 | 14 |\n| DependencyFiles | 255 | 255 | 411 | 659 |\n| SizeofAllFiles | 133.2MB | 178.4MB | 289.7MB | 306.6MB |\n| NormalRunTime | 52.046s | 238.833s | 295.785s | 7200s |",0]
["|  | VIC0 | VICI | VICII | VICIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | C,C++,Python,Cshell,Fortran |  |  |  |\n| Sourceﬁles | 35 | 61 | 77 | 97 |\n| Dataﬁles | 3689 | 6313 | 11460 | 11481 |\n| DependencyFiles | 247 | 260 | 314 | 357 |","| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |\n| --- | --- | --- | --- | --- |\n| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s |",1]
["|  | VIC0 | VICI | VICII | VICIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | C,C++,Python,Cshell,Fortran |  |  |  |\n| Sourceﬁles | 35 | 61 | 77 | 97 |\n| Dataﬁles | 3689 | 6313 | 11460 | 11481 |\n| DependencyFiles | 247 | 260 | 314 | 357 |","| DataFiles | 2 | 8 | 14 | 14 |\n| --- | --- | --- | --- | --- |\n| DependencyFiles | 255 | 255 | 411 | 659 |\n| SizeofAllFiles | 133.2MB | 178.4MB | 289.7MB | 306.6MB |\n| NormalRunTime | 52.046s | 238.833s | 295.785s | 7200s |",0]
["| Method | DS1 | DS2 |\n| --- | --- | --- |\n| HOG | 50 | 52 |\n| Fast-RCNN | 54 | 61 |","| Faster-RCNN | 60 | 66 |\n| --- | --- | --- |\n| Yolo | 65 | 68 |",1]
["| Method | DS1 | DS2 |\n| --- | --- | --- |\n| HOG | 50 | 52 |\n| Fast-RCNN | 54 | 61 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |\n| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |\n| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |\n| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |\n| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |\n| FCR2-c | 61.38 | 94.72 | 98.80 |\n| FCR1-c | 59.50 | 95.72 | 99.40 |\n| MLR | 50.31 | 93.08 | 97.79 |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |\n| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |\n| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |\n| MLR+CFV | 44.78 | 94.72 | 97.99 |\n| MLR+CFV+FCR1-c | 53.33 | 96.48 | 99.00 |\n| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",0]
["| Method | DS1 | DS2 |\n| --- | --- | --- |\n| HOG | 50 | 52 |\n| Fast-RCNN | 54 | 61 |","| Faster-RCNN | 60 | 66 |\n| --- | --- | --- |\n| Yolo | 65 | 68 |",1]
["| Method | DS1 | DS2 |\n| --- | --- | --- |\n| HOG | 50 | 52 |\n| Fast-RCNN | 54 | 61 |","| MLR | 50.31 | 93.08 | 97.79 |\n| --- | --- | --- | --- |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |\n| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |\n| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |\n| MLR+CFV | 44.78 | 94.72 | 97.99 |\n| MLR+CFV+FCR1-c | 53.33 | 96.48 | 99.00 |\n| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",0]
["| Dataset | No.ofimages | Resolution | Min | Ave | Max | Totalcount |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCSD | 2000 | 158x238 | 11 | 25 | 46 | 49,885 |","| Mall | 2000 | 320x240 | 13 | - | 53 | 62,325 |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCFCC50 | 50 | Varied | 94 | 1279 | 4543 | 63,974 |\n| WorldExpo’10 | 3980 | 576x720 | 1 | 50 | 253 | 199,923 |\n| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |\n| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 |",1]
["| Dataset | No.ofimages | Resolution | Min | Ave | Max | Totalcount |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCSD | 2000 | 158x238 | 11 | 25 | 46 | 49,885 |","| Dataset | PSNR | SSIM |\n| --- | --- | --- |\n| ShanghaiTechPartA | 23.79 | 0.76 |\n| ShanghaiTechPartB | 27.02 | 0.89 |\n| UCFCC50 | 18.76 | 0.52 |\n| TheWorldExpo’10 | 26.94 | 0.92 |\n| TheUCSD | 20.02 | 0.86 |\n| TRANCOS | 27.10 | 0.93 |",0]
["| Dataset | No.ofimages | Resolution | Min | Ave | Max | Totalcount |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCSD | 2000 | 158x238 | 11 | 25 | 46 | 49,885 |","| Mall | 2000 | 320x240 | 13 | - | 53 | 62,325 |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCFCC50 | 50 | Varied | 94 | 1279 | 4543 | 63,974 |\n| WorldExpo’10 | 3980 | 576x720 | 1 | 50 | 253 | 199,923 |\n| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |\n| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 |",1]
["| Dataset | No.ofimages | Resolution | Min | Ave | Max | Totalcount |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCSD | 2000 | 158x238 | 11 | 25 | 46 | 49,885 |","| TheUCSD | 20.02 | 0.86 |\n| --- | --- | --- |\n| TRANCOS | 27.10 | 0.93 |",0]
["| n | h(n) | ω(n) | n | h(n) | ω(n) | n | h(n) | ω(n) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 0.66667 | 12 | 4 | 0.24242 | 296 | 10 | 0.09996 |\n| 3 | 1 | 0.50000 | 20 | 5 | 0.19718 | 522 | 11 | 0.09089 |\n| 4 | 2 | 0.42857 | 34 | 6 | 0.16547 | 934 | 12 | 0.08332 |","| 5 | 2 | 0.37500 | 57 | 7 | 0.14236 | 1681 | 13 | 0.07692 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 2 | 0.33333 | 98 | 8 | 0.12478 | 3058 | 14 | 0.07143 |\n| 7 | 3 | 0.31250 | 169 | 9 | 0.11101 | 5596 | 15 | 0.06667 |",1]
["| n | h(n) | ω(n) | n | h(n) | ω(n) | n | h(n) | ω(n) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 0.66667 | 12 | 4 | 0.24242 | 296 | 10 | 0.09996 |\n| 3 | 1 | 0.50000 | 20 | 5 | 0.19718 | 522 | 11 | 0.09089 |\n| 4 | 2 | 0.42857 | 34 | 6 | 0.16547 | 934 | 12 | 0.08332 |","| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |\n| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |\n| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",0]
["| n | h(n) | ω(n) | n | h(n) | ω(n) | n | h(n) | ω(n) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 0.66667 | 12 | 4 | 0.24242 | 296 | 10 | 0.09996 |\n| 3 | 1 | 0.50000 | 20 | 5 | 0.19718 | 522 | 11 | 0.09089 |\n| 4 | 2 | 0.42857 | 34 | 6 | 0.16547 | 934 | 12 | 0.08332 |\n| 5 | 2 | 0.37500 | 57 | 7 | 0.14236 | 1681 | 13 | 0.07692 |","| 6 | 2 | 0.33333 | 98 | 8 | 0.12478 | 3058 | 14 | 0.07143 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 3 | 0.31250 | 169 | 9 | 0.11101 | 5596 | 15 | 0.06667 |",1]
["| n | h(n) | ω(n) | n | h(n) | ω(n) | n | h(n) | ω(n) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 0.66667 | 12 | 4 | 0.24242 | 296 | 10 | 0.09996 |\n| 3 | 1 | 0.50000 | 20 | 5 | 0.19718 | 522 | 11 | 0.09089 |\n| 4 | 2 | 0.42857 | 34 | 6 | 0.16547 | 934 | 12 | 0.08332 |\n| 5 | 2 | 0.37500 | 57 | 7 | 0.14236 | 1681 | 13 | 0.07692 |","| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",0]
["| Method | Original | Black | Random | Flip | AdversarialPatch |\n| --- | --- | --- | --- | --- | --- |\n| w/ocontext | 78.0 | 39.3 | 45.0 | 65.8 | 57.8 |\n| localcontext | 78.4 | 37.7 | 42.8 | 65.0 | 56.1 |","| local+globalcontext | 78.5 | 36.5 | 43.6 | 65.4 | 53.5 |\n| --- | --- | --- | --- | --- | --- |\n| 8-neighborcontext | 79.0 | 38.1 | 45.0 | 65.7 | 57.2 |\n| Ours | 81.7 | 51.5 | 52.4 | 70.5 | 65.9 |",1]
["| Method | Original | Black | Random | Flip | AdversarialPatch |\n| --- | --- | --- | --- | --- | --- |\n| w/ocontext | 78.0 | 39.3 | 45.0 | 65.8 | 57.8 |\n| localcontext | 78.4 | 37.7 | 42.8 | 65.0 | 56.1 |","| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours-Imagenet | 83.5 | 54.0 | 46.8 | 34.1 | 16.8 | 54.3 | 48.3 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| P.Machines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",0]
["| Method | Original | Black | Random | Flip | AdversarialPatch |\n| --- | --- | --- | --- | --- | --- |\n| w/ocontext | 78.0 | 39.3 | 45.0 | 65.8 | 57.8 |\n| localcontext | 78.4 | 37.7 | 42.8 | 65.0 | 56.1 |\n| local+globalcontext | 78.5 | 36.5 | 43.6 | 65.4 | 53.5 |","| 8-neighborcontext | 79.0 | 38.1 | 45.0 | 65.7 | 57.2 |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 81.7 | 51.5 | 52.4 | 70.5 | 65.9 |",1]
["| Method | Original | Black | Random | Flip | AdversarialPatch |\n| --- | --- | --- | --- | --- | --- |\n| w/ocontext | 78.0 | 39.3 | 45.0 | 65.8 | 57.8 |\n| localcontext | 78.4 | 37.7 | 42.8 | 65.0 | 56.1 |\n| local+globalcontext | 78.5 | 36.5 | 43.6 | 65.4 | 53.5 |","| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| P.Machines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",0]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |","| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| --- | --- | --- | --- | --- |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",1]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |\n| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |\n| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |","| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| --- | --- | --- | --- | --- |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",1]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |","| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| --- | --- | --- | --- | --- |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 | rule |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 77.80 | 63.41 | 51.43 | 81.72 | 81.49 | 76.23 | 81.41 | 78.60 | 81.49 | 81.49 |\n| 2 | 14.68 | 10.87 | 2.08 | 16.18 | 15.95 | 14.68 | 16.07 | 16.07 | 15.95 | 15.95 |","| 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |\n| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |\n| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |\n| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |\n| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |\n| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |\n| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |\n| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |\n| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |\n| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 |",1]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 | rule |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 77.80 | 63.41 | 51.43 | 81.72 | 81.49 | 76.23 | 81.41 | 78.60 | 81.49 | 81.49 |\n| 2 | 14.68 | 10.87 | 2.08 | 16.18 | 15.95 | 14.68 | 16.07 | 16.07 | 15.95 | 15.95 |","| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11.16 | 49.67 | 70.23 | 68.07 | 73.86 | 69.33 | 55.63 | 57.75 | 60.18 |\n| 91.26 | 89.58 | 82.7 | 83.0 | 83.54 | 88.89 | 84.56 | 86.31 | 84.38 |\n| 90.68 | 90.0 | 83.33 | 84.11 | 59.59 | 85.71 | 87.22 | 66.41 | 77.31 |\n| 91.3 | 91.21 | 80.0 | 83.53 | 82.28 | 79.73 | 87.32 | 82.61 | 79.69 |\n| 93.06 | 91.55 | 92.86 | 84.85 | 90.16 | 85.71 | 80.0 | 86.36 | 88.1 |\n| 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |\n| 100.0 | 75.0 | 75.0 | 75.0 | 100.0 | 75.0 | 100.0 | 100.0 | 66.67 |\n| 96.3 | 96.3 | 88.46 | 92.0 | 100.0 | 94.74 | 94.74 | 100.0 | 94.74 |",0]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 | rule |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 77.80 | 63.41 | 51.43 | 81.72 | 81.49 | 76.23 | 81.41 | 78.60 | 81.49 | 81.49 |","| 2 | 14.68 | 10.87 | 2.08 | 16.18 | 15.95 | 14.68 | 16.07 | 16.07 | 15.95 | 15.95 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |\n| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |\n| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |\n| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |\n| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |\n| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |\n| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |\n| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |\n| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |\n| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |\n| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 |",1]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 | rule |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 77.80 | 63.41 | 51.43 | 81.72 | 81.49 | 76.23 | 81.41 | 78.60 | 81.49 | 81.49 |","| 93.06 | 91.55 | 92.86 | 84.85 | 90.16 | 85.71 | 80.0 | 86.36 | 88.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |\n| 100.0 | 75.0 | 75.0 | 75.0 | 100.0 | 75.0 | 100.0 | 100.0 | 66.67 |\n| 96.3 | 96.3 | 88.46 | 92.0 | 100.0 | 94.74 | 94.74 | 100.0 | 94.74 |",0]
["| ImageSize | SWD(s/im) | FastSCNN(s/im) | TimeSaved(s/im) |\n| --- | --- | --- | --- |\n| 200∼400 | 17.16 | 10.31 | 6.85 |\n| 400∼600 | 52.86 | 31.21 | 21.65 |","| 600∼800 | 109.04 | 63.47 | 45.57 |\n| --- | --- | --- | --- |\n| 800∼1000 | 234.53 | 126.27 | 108.26 |",1]
["| ImageSize | SWD(s/im) | FastSCNN(s/im) | TimeSaved(s/im) |\n| --- | --- | --- | --- |\n| 200∼400 | 17.16 | 10.31 | 6.85 |\n| 400∼600 | 52.86 | 31.21 | 21.65 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |\n| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["| ImageSize | SWD(s/im) | FastSCNN(s/im) | TimeSaved(s/im) |\n| --- | --- | --- | --- |\n| 200∼400 | 17.16 | 10.31 | 6.85 |","| 400∼600 | 52.86 | 31.21 | 21.65 |\n| --- | --- | --- | --- |\n| 600∼800 | 109.04 | 63.47 | 45.57 |\n| 800∼1000 | 234.53 | 126.27 | 108.26 |",1]
["| ImageSize | SWD(s/im) | FastSCNN(s/im) | TimeSaved(s/im) |\n| --- | --- | --- | --- |\n| 200∼400 | 17.16 | 10.31 | 6.85 |","| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["| logged | gt | code |\n| --- | --- | --- |\n| patch | ﬁle | object |\n| issue | lt | class |\n| bugs | line | case |\n| bug | os | method |","| problem | import | type |\n| --- | --- | --- |\n| ﬁx | print | list |\n| ﬁxed | call | set |\n| days | read | objects |\n| created | socket | change |\n| time | path | imple |\n| docu | data | functions |\n| module | error | argument |\n| docs | open | dict |\n| added | windows | add |\n| check | problem | def |\n| doc | traceback | methods |\n| doesnt | mailto | exception |",1]
["| logged | gt | code |\n| --- | --- | --- |\n| patch | ﬁle | object |\n| issue | lt | class |\n| bugs | line | case |\n| bug | os | method |","| Number | Vulnerability | Cause | Level |\n| --- | --- | --- | --- |\n|  | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  | Immutablebug | Alteracontractafterdeployment | EVMbytecode |\n|  |  |  |  |\n|  |  |  |  |\n| 0 | Unpredictablestate | Stateofthecontractischangedbeforeinvoking | Blockchainmechanism |\n|  |  |  |  |\n|  |  |  |  |",0]
["| logged | gt | code |\n| --- | --- | --- |\n| patch | ﬁle | object |\n| issue | lt | class |\n| bugs | line | case |\n| bug | os | method |","| problem | import | type |\n| --- | --- | --- |\n| ﬁx | print | list |\n| ﬁxed | call | set |\n| days | read | objects |\n| created | socket | change |\n| time | path | imple |\n| docu | data | functions |\n| module | error | argument |\n| docs | open | dict |\n| added | windows | add |\n| check | problem | def |\n| doc | traceback | methods |\n| doesnt | mailto | exception |",1]
["| logged | gt | code |\n| --- | --- | --- |\n| patch | ﬁle | object |\n| issue | lt | class |\n| bugs | line | case |\n| bug | os | method |","| 0 | Unpredictablestate | Stateofthecontractischangedbeforeinvoking | Blockchainmechanism |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |",0]
["| Unsupervised |  |  |  |\n| --- | --- | --- | --- |\n| Model | GNSDR | GSIR | GSAR |\n| RPCA | 3.15 | 4.43 | 11.09 |\n| RPCAh | 3.25 | 4.52 | 11.10 |\n| RPCAh+FASST | 3.84 | 6.22 | 9.19 |\n| Supervised |  |  |  |\n| Model | GNSDR | GSIR | GSAR |\n| MLRR | 3.85 | 5.63 | 10.70 |\n| RNMF | 4.97 | 7.66 | 10.03 |","| DRNN-2 | 7.27 | 11.98 | 9.99 |\n| --- | --- | --- | --- |\n| DRNN-2+discrim | 7.45 | 13.08 | 9.68 |",1]
["| Unsupervised |  |  |  |\n| --- | --- | --- | --- |\n| Model | GNSDR | GSIR | GSAR |\n| RPCA | 3.15 | 4.43 | 11.09 |\n| RPCAh | 3.25 | 4.52 | 11.10 |\n| RPCAh+FASST | 3.84 | 6.22 | 9.19 |\n| Supervised |  |  |  |\n| Model | GNSDR | GSIR | GSAR |\n| MLRR | 3.85 | 5.63 | 10.70 |\n| RNMF | 4.97 | 7.66 | 10.03 |","| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Semi-supervised |  |  |  |  |  |  |\n| E-RNN | 0.21 | 0.28 | 0.37 | 0.28 | 0.16 | 0.015 |\n| EC-RNN | 0.27 | 0.38 | 0.23 | 0.30 | 0.26 | 0.023 |\n| CNN-RNN | 0.21 | 0.30 | 0.21 | 0.28 | 0.22 | 0.018 |\n| A-RNN | 0.21 | 0.27 | 0.29 | 0.41 | 0.21 | 0.016 |\n| AC-RNN | 0.23 | 0.33 | 0.32 | 0.29 | 0.22 | 0.021 |\n| Supervised |  |  |  |  |  |  |\n| E-RNN | 0.20 | 0.27 | 0.37 | 0.27 | 0.16 | 0.02 |\n| EC-RNN | 0.26 | 0.39 | 0.22 | 0.30 | 0.25 | 0.02 |\n| CNN-RNN | 0.21 | 0.29 | 0.21 | 0.27 | 0.21 | 0.02 |\n| A-RNN | 0.19 | 0.27 | 0.28 | 0.38 | 0.19 | 0.02 |\n| AC-RNN | 0.22 | 0.33 | 0.31 | 0.27 | 0.22 | 0.02 |",0]
["| Unsupervised |  |  |  |\n| --- | --- | --- | --- |\n| Model | GNSDR | GSIR | GSAR |\n| RPCA | 3.15 | 4.43 | 11.09 |\n| RPCAh | 3.25 | 4.52 | 11.10 |","| RPCAh+FASST | 3.84 | 6.22 | 9.19 |\n| --- | --- | --- | --- |\n| Supervised |  |  |  |\n| Model | GNSDR | GSIR | GSAR |\n| MLRR | 3.85 | 5.63 | 10.70 |\n| RNMF | 4.97 | 7.66 | 10.03 |\n| DRNN-2 | 7.27 | 11.98 | 9.99 |\n| DRNN-2+discrim | 7.45 | 13.08 | 9.68 |",1]
["| Unsupervised |  |  |  |\n| --- | --- | --- | --- |\n| Model | GNSDR | GSIR | GSAR |\n| RPCA | 3.15 | 4.43 | 11.09 |\n| RPCAh | 3.25 | 4.52 | 11.10 |","| E-RNN | 0.20 | 0.27 | 0.37 | 0.27 | 0.16 | 0.02 |\n| --- | --- | --- | --- | --- | --- | --- |\n| EC-RNN | 0.26 | 0.39 | 0.22 | 0.30 | 0.25 | 0.02 |\n| CNN-RNN | 0.21 | 0.29 | 0.21 | 0.27 | 0.21 | 0.02 |\n| A-RNN | 0.19 | 0.27 | 0.28 | 0.38 | 0.19 | 0.02 |\n| AC-RNN | 0.22 | 0.33 | 0.31 | 0.27 | 0.22 | 0.02 |",0]
["| Pairs | Yahoo-Phish | Yahoo-Malware | DMOZ-Phish | DMOZ-Malware | AllGood-AllBad |\n| --- | --- | --- | --- | --- | --- |\n| #MaliciousURLs | 4,082 | 2,001 | 4,082 | 2,001 | 6,083 |","| #LegitimateURLs | 4,143 | 4,143 | 4,012 | 4,012 | 8,155 |\n| --- | --- | --- | --- | --- | --- |\n| #LexicalFeatures | 13,821 | 8,791 | 14,165 | 9,129 | 22,100 |\n| #ExternalFeatures | 18,786 | 16,665 | 9,751 | 7,548 | 24,843 |",1]
["| Pairs | Yahoo-Phish | Yahoo-Malware | DMOZ-Phish | DMOZ-Malware | AllGood-AllBad |\n| --- | --- | --- | --- | --- | --- |\n| #MaliciousURLs | 4,082 | 2,001 | 4,082 | 2,001 | 6,083 |","| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |\n| Darkness | 1878 | CommercialDDoSbot |\n| Ddoser | 502 | CommercialDDoSbot |\n| jkddos | 333 | ComercialDDoSbot |\n| N0ise | 431 | CommericalDDoSbot |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| Pairs | Yahoo-Phish | Yahoo-Malware | DMOZ-Phish | DMOZ-Malware | AllGood-AllBad |\n| --- | --- | --- | --- | --- | --- |\n| #MaliciousURLs | 4,082 | 2,001 | 4,082 | 2,001 | 6,083 |\n| #LegitimateURLs | 4,143 | 4,143 | 4,012 | 4,012 | 8,155 |","| #LexicalFeatures | 13,821 | 8,791 | 14,165 | 9,129 | 22,100 |\n| --- | --- | --- | --- | --- | --- |\n| #ExternalFeatures | 18,786 | 16,665 | 9,751 | 7,548 | 24,843 |",1]
["| Pairs | Yahoo-Phish | Yahoo-Malware | DMOZ-Phish | DMOZ-Malware | AllGood-AllBad |\n| --- | --- | --- | --- | --- | --- |\n| #MaliciousURLs | 4,082 | 2,001 | 4,082 | 2,001 | 6,083 |\n| #LegitimateURLs | 4,143 | 4,143 | 4,012 | 4,012 | 8,155 |","| Getkys | 953 | targetsmedicalsector |\n| --- | --- | --- |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| Event | Occurswhen... |\n| --- | --- |\n| LogInSO | theSOisauthenticatedtothetoken. |","| LogInUser | thenormaluserisauthenticatedtothetoken |\n| --- | --- |\n| LogOut | theapplicationlogsoutthecurrentuser(SOornormaluser) |\n| CloseSession | theapplicationclosesthesessionorclosesallsessions |\n| DeviceRemoved | thedeviceunderlyingthetokenhasbeenremovedfromitsslot |",1]
["| Event | Occurswhen... |\n| --- | --- |\n| LogInSO | theSOisauthenticatedtothetoken. |","| Management |\n| --- |\n| ProbeRequest |\n| ProbeResponse |\n| Beacon |\n| Authentication |\n| Deauthentication |\n| ATIM |",0]
["| Event | Occurswhen... |\n| --- | --- |\n| LogInSO | theSOisauthenticatedtothetoken. |","| LogInUser | thenormaluserisauthenticatedtothetoken |\n| --- | --- |\n| LogOut | theapplicationlogsoutthecurrentuser(SOornormaluser) |\n| CloseSession | theapplicationclosesthesessionorclosesallsessions |\n| DeviceRemoved | thedeviceunderlyingthetokenhasbeenremovedfromitsslot |",1]
["| Event | Occurswhen... |\n| --- | --- |\n| LogInSO | theSOisauthenticatedtothetoken. |","| Deauthentication |\n| --- |\n| ATIM |",0]
["|  | Regularizedframework |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Net-RSTQ | λ | 0.1 | 1 | 10 | 100 |\n| 1e-04 | 0.9689 | 0.9536 | 0.9442 | 0.8668 |  |\n| 1e-03 | 0.9696 | 0.9549 | 0.9453 | 0.8680 |  |\n| 5e-03 | 0.9722 | 0.9583 | 0.9488 | 0.8715 |  |\n| 0.01 | 0.9751 | 0.9620 | 0.9526 | 0.8751 |  |\n| 0.05 | 0.9887 | 0.9804 | 0.9720 | 0.8939 |  |\n| 0.1 | 0.9943 | 0.9895 | 0.9819 | 0.9038 |  |\n| 0.2 | 0.9959 | 0.9947 | 0.9882 | 0.9111 |  |\n| 0.3 | 0.9950 | 0.9954 | 0.9899 | 0.9141 |  |\n| 0.4 | 0.9938 | 0.9951 | 0.9905 | 0.9164 |  |\n| 0.5 | 0.9925 | 0.9945 | 0.9909 | 0.9188 |  |\n| 0.6 | 0.9910 | 0.9935 | 0.9912 | 0.9218 |  |\n| 0.7 | 0.9889 | 0.9920 | 0.9914 | 0.9258 |  |","| 0.8 | 0.9854 | 0.9891 | 0.9911 | 0.9319 |\n| --- | --- | --- | --- | --- |\n| 0.9 | 0.9770 | 0.9815 | 0.9883 | 0.9424 |\n| 0.99 | 0.9328 | 0.9387 | 0.9543 | 0.9601 |\n| 0.999 | 0.9121 | 0.9181 | 0.9349 | 0.9578 |",1]
["|  | Regularizedframework |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Net-RSTQ | λ | 0.1 | 1 | 10 | 100 |\n| 1e-04 | 0.9689 | 0.9536 | 0.9442 | 0.8668 |  |\n| 1e-03 | 0.9696 | 0.9549 | 0.9453 | 0.8680 |  |\n| 5e-03 | 0.9722 | 0.9583 | 0.9488 | 0.8715 |  |\n| 0.01 | 0.9751 | 0.9620 | 0.9526 | 0.8751 |  |\n| 0.05 | 0.9887 | 0.9804 | 0.9720 | 0.8939 |  |\n| 0.1 | 0.9943 | 0.9895 | 0.9819 | 0.9038 |  |\n| 0.2 | 0.9959 | 0.9947 | 0.9882 | 0.9111 |  |\n| 0.3 | 0.9950 | 0.9954 | 0.9899 | 0.9141 |  |\n| 0.4 | 0.9938 | 0.9951 | 0.9905 | 0.9164 |  |\n| 0.5 | 0.9925 | 0.9945 | 0.9909 | 0.9188 |  |\n| 0.6 | 0.9910 | 0.9935 | 0.9912 | 0.9218 |  |\n| 0.7 | 0.9889 | 0.9920 | 0.9914 | 0.9258 |  |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["|  | Regularizedframework |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Net-RSTQ | λ | 0.1 | 1 | 10 | 100 |\n| 1e-04 | 0.9689 | 0.9536 | 0.9442 | 0.8668 |  |\n| 1e-03 | 0.9696 | 0.9549 | 0.9453 | 0.8680 |  |\n| 5e-03 | 0.9722 | 0.9583 | 0.9488 | 0.8715 |  |\n| 0.01 | 0.9751 | 0.9620 | 0.9526 | 0.8751 |  |\n| 0.05 | 0.9887 | 0.9804 | 0.9720 | 0.8939 |  |\n| 0.1 | 0.9943 | 0.9895 | 0.9819 | 0.9038 |  |\n| 0.2 | 0.9959 | 0.9947 | 0.9882 | 0.9111 |  |\n| 0.3 | 0.9950 | 0.9954 | 0.9899 | 0.9141 |  |\n| 0.4 | 0.9938 | 0.9951 | 0.9905 | 0.9164 |  |\n| 0.5 | 0.9925 | 0.9945 | 0.9909 | 0.9188 |  |\n| 0.6 | 0.9910 | 0.9935 | 0.9912 | 0.9218 |  |\n| 0.7 | 0.9889 | 0.9920 | 0.9914 | 0.9258 |  |\n| 0.8 | 0.9854 | 0.9891 | 0.9911 | 0.9319 |  |","| 0.9 | 0.9770 | 0.9815 | 0.9883 | 0.9424 |\n| --- | --- | --- | --- | --- |\n| 0.99 | 0.9328 | 0.9387 | 0.9543 | 0.9601 |\n| 0.999 | 0.9121 | 0.9181 | 0.9349 | 0.9578 |",1]
["|  | Regularizedframework |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Net-RSTQ | λ | 0.1 | 1 | 10 | 100 |\n| 1e-04 | 0.9689 | 0.9536 | 0.9442 | 0.8668 |  |\n| 1e-03 | 0.9696 | 0.9549 | 0.9453 | 0.8680 |  |\n| 5e-03 | 0.9722 | 0.9583 | 0.9488 | 0.8715 |  |\n| 0.01 | 0.9751 | 0.9620 | 0.9526 | 0.8751 |  |\n| 0.05 | 0.9887 | 0.9804 | 0.9720 | 0.8939 |  |\n| 0.1 | 0.9943 | 0.9895 | 0.9819 | 0.9038 |  |\n| 0.2 | 0.9959 | 0.9947 | 0.9882 | 0.9111 |  |\n| 0.3 | 0.9950 | 0.9954 | 0.9899 | 0.9141 |  |\n| 0.4 | 0.9938 | 0.9951 | 0.9905 | 0.9164 |  |\n| 0.5 | 0.9925 | 0.9945 | 0.9909 | 0.9188 |  |\n| 0.6 | 0.9910 | 0.9935 | 0.9912 | 0.9218 |  |\n| 0.7 | 0.9889 | 0.9920 | 0.9914 | 0.9258 |  |\n| 0.8 | 0.9854 | 0.9891 | 0.9911 | 0.9319 |  |","| 0.001 | 0.000167 | 4 | 0.312 |\n| --- | --- | --- | --- |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |","| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| --- | --- | --- |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",1]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |","| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- |\n| 27.44 | 43.01 | 50.82 |\n| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |\n| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 |",0]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |","| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| --- | --- | --- |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",1]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |","| 27.44 | 43.01 | 50.82 |\n| --- | --- | --- |\n| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |\n| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 |",0]
["| Situation<br>Algorithm | DecisionAlgorithm |  |  |\n| --- | --- | --- | --- |\n| MC1x1 | MM | MM+Inc | HilbertBF |","| MC1x1 | 5256 | 5218 | 5207 | 5432 |\n| --- | --- | --- | --- | --- |\n| MM | 5323 | 5285 | 5276 | 5531 |\n| MM+Inc | 5319 | 5281 | 5269 | 5495 |\n| HilbertBF | 5090 | 5059 | 5046 | 5207 |",1]
["| Situation<br>Algorithm | DecisionAlgorithm |  |  |\n| --- | --- | --- | --- |\n| MC1x1 | MM | MM+Inc | HilbertBF |","| Algorithm | Additions | Multiplications |\n| --- | --- | --- |\n| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |\n| IDMCG | 2M+10M−4 | 3M+12M+3 |\n| IncrementalLMS | 4M−1 | 3M+1 |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",0]
["| Situation<br>Algorithm | DecisionAlgorithm |  |  |\n| --- | --- | --- | --- |\n| MC1x1 | MM | MM+Inc | HilbertBF |","| MC1x1 | 5256 | 5218 | 5207 | 5432 |\n| --- | --- | --- | --- | --- |\n| MM | 5323 | 5285 | 5276 | 5531 |\n| MM+Inc | 5319 | 5281 | 5269 | 5495 |\n| HilbertBF | 5090 | 5059 | 5046 | 5207 |",1]
["| Situation<br>Algorithm | DecisionAlgorithm |  |  |\n| --- | --- | --- | --- |\n| MC1x1 | MM | MM+Inc | HilbertBF |","| IDMCG | 2M+10M−4 | 3M+12M+3 |\n| --- | --- | --- |\n| IncrementalLMS | 4M−1 | 3M+1 |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",0]
["|  | CC | CI | CF | PMIA | PR | DIC | Deg | Win |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CC | - | 0 | 5 | 4 | 5 | 5 | 6 | 25 |\n| CI | 0 | - | 6 | 5 | 6 | 6 | 6 | 29 |\n| CF | 0 | 0 | - | 4 | 6 | 6 | 6 | 22 |\n| PMIA | 0 | 0 | 1 | - | 3 | 4 | 5 | 13 |","| PR | 0 | 0 | 0 | 3 | - | 6 | 6 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DIC | 0 | 0 | 0 | 1 | 0 | - | 6 | 7 |\n| Deg | 0 | 0 | 0 | 1 | 0 | 0 | - | 1 |\n| Loss | 0 | 0 | 12 | 18 | 20 | 27 | 35 |  |",1]
["|  | CC | CI | CF | PMIA | PR | DIC | Deg | Win |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CC | - | 0 | 5 | 4 | 5 | 5 | 6 | 25 |\n| CI | 0 | - | 6 | 5 | 6 | 6 | 6 | 29 |\n| CF | 0 | 0 | - | 4 | 6 | 6 | 6 | 22 |\n| PMIA | 0 | 0 | 1 | - | 3 | 4 | 5 | 13 |","| Activities | PT | GL | BD | PN | PO | DS | HT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |\n| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |\n| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |\n| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",0]
["|  | CC | CI | CF | PMIA | PR | DIC | Deg | Win |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CC | - | 0 | 5 | 4 | 5 | 5 | 6 | 25 |\n| CI | 0 | - | 6 | 5 | 6 | 6 | 6 | 29 |\n| CF | 0 | 0 | - | 4 | 6 | 6 | 6 | 22 |\n| PMIA | 0 | 0 | 1 | - | 3 | 4 | 5 | 13 |","| PR | 0 | 0 | 0 | 3 | - | 6 | 6 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DIC | 0 | 0 | 0 | 1 | 0 | - | 6 | 7 |\n| Deg | 0 | 0 | 0 | 1 | 0 | 0 | - | 1 |\n| Loss | 0 | 0 | 12 | 18 | 20 | 27 | 35 |  |",1]
["|  | CC | CI | CF | PMIA | PR | DIC | Deg | Win |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CC | - | 0 | 5 | 4 | 5 | 5 | 6 | 25 |\n| CI | 0 | - | 6 | 5 | 6 | 6 | 6 | 29 |\n| CF | 0 | 0 | - | 4 | 6 | 6 | 6 | 22 |\n| PMIA | 0 | 0 | 1 | - | 3 | 4 | 5 | 13 |","| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",0]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set(baseline) | 0.906 | 0.911 | 0.906 | 0.903 |","| Train-set+Dev-set(extended) | 0.928 | 0.937 | 0.929 | 0.930 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set+AL(baseline) | 0.898 | 0.911 | 0.898 | 0.898 |\n| Train-set+Dev-set+AL(extended) | 0.932 | 0.945 | 0.932 | 0.935 |",1]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set(baseline) | 0.906 | 0.911 | 0.906 | 0.903 |","| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.853 | 0.857 | 0.853 | 0.848 |\n| Train-set(extended) | 0.860 | 0.871 | 0.860 | 0.858 |\n| Train-set+AL(baseline) | 0.867 | 0.883 | 0.867 | 0.868 |\n| Train-set+AL(extended) | 0.884 | 0.899 | 0.885 | 0.886 |",0]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set(baseline) | 0.906 | 0.911 | 0.906 | 0.903 |\n| Train-set+Dev-set(extended) | 0.928 | 0.937 | 0.929 | 0.930 |","| Train-set+Dev-set+AL(baseline) | 0.898 | 0.911 | 0.898 | 0.898 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set+AL(extended) | 0.932 | 0.945 | 0.932 | 0.935 |",1]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set(baseline) | 0.906 | 0.911 | 0.906 | 0.903 |\n| Train-set+Dev-set(extended) | 0.928 | 0.937 | 0.929 | 0.930 |","| Train-set(extended) | 0.860 | 0.871 | 0.860 | 0.858 |\n| --- | --- | --- | --- | --- |\n| Train-set+AL(baseline) | 0.867 | 0.883 | 0.867 | 0.868 |\n| Train-set+AL(extended) | 0.884 | 0.899 | 0.885 | 0.886 |",0]
["| DataSet | Measure | (cid:96)-Graph | R(cid:96)-Graph |\n| --- | --- | --- | --- |\n| Heart | AC | 0.5111 | 0.6444 |\n| NMI | 0.0064 | 0.0590 |  |","| ExtendedYaleB | AC | 0.8480 | 0.8521 |\n| --- | --- | --- | --- |\n| NMI | 0.8612 | 0.8634 |  |\n| UMISTFace | AC | 0.6730 | 0.7078 |\n| NMI | 0.7924 | 0.8153 |  |",1]
["| DataSet | Measure | (cid:96)-Graph | R(cid:96)-Graph |\n| --- | --- | --- | --- |\n| Heart | AC | 0.5111 | 0.6444 |\n| NMI | 0.0064 | 0.0590 |  |","| DataSet | Measure | KM | SC | (cid:96)-Graph | SMCE | OMP-Graph | (cid:96)-Graph |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ionosphere | AC | 0.7097 | 0.7350 | 0.5128 | 0.6809 | 0.6353 | 0.7692 |\n| NMI | 0.1287 | 0.2155 | 0.1165 | 0.0871 | 0.0299 | 0.2609 |  |\n| MNIST | AC | 0.5621 | 0.4922 | 0.4948 | 0.5784 | 0.5754 | 0.6590 |\n| NMI | 0.5113 | 0.4755 | 0.5210 | 0.6332 | 0.5463 | 0.6709 |  |",0]
["| DataSet | Measure | (cid:96)-Graph | R(cid:96)-Graph |\n| --- | --- | --- | --- |\n| Heart | AC | 0.5111 | 0.6444 |\n| NMI | 0.0064 | 0.0590 |  |\n| ExtendedYaleB | AC | 0.8480 | 0.8521 |\n| NMI | 0.8612 | 0.8634 |  |","| UMISTFace | AC | 0.6730 | 0.7078 |\n| --- | --- | --- | --- |\n| NMI | 0.7924 | 0.8153 |  |",1]
["| DataSet | Measure | (cid:96)-Graph | R(cid:96)-Graph |\n| --- | --- | --- | --- |\n| Heart | AC | 0.5111 | 0.6444 |\n| NMI | 0.0064 | 0.0590 |  |\n| ExtendedYaleB | AC | 0.8480 | 0.8521 |\n| NMI | 0.8612 | 0.8634 |  |","| NMI | 0.1287 | 0.2155 | 0.1165 | 0.0871 | 0.0299 | 0.2609 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MNIST | AC | 0.5621 | 0.4922 | 0.4948 | 0.5784 | 0.5754 | 0.6590 |\n| NMI | 0.5113 | 0.4755 | 0.5210 | 0.6332 | 0.5463 | 0.6709 |  |",0]
["|  | (n,k,d,w)min | ii=0<br>n−k |\n| --- | --- | --- |\n| RM(10,4) | (1024,386,64,192) | ≤2 |\n| RM(10,5) | (1024,638,32,98) | ≤2 |","| RM(11,5) | (2048,1024,64,306) | ≤2 |\n| --- | --- | --- |\n| RM(12,5) | (4096,1586,128,855) | ≤2 |\n| RM(12,6) | (4096,2510,64,458) | ≤2 |",1]
["|  | (n,k,d,w)min | ii=0<br>n−k |\n| --- | --- | --- |\n| RM(10,4) | (1024,386,64,192) | ≤2 |\n| RM(10,5) | (1024,638,32,98) | ≤2 |","| n | CountofSubsets<br>ofXwithn<br>S=2n | n | ofXwithn<br>n(n+1)<br>S=(−n) |\n| --- | --- | --- | --- |\n| 6 | 2 | 6 | 2 |\n| 7 | 5 | 7 | 5 |\n| 8 | 8 | 8 | 8 |\n| 9 | 13 | 9 | 13 |\n| 10 | 134 | 10 | 24 |\n| 50 | 416868 | 15 | 521 |\n| 100 | 482240364 | 20 | 11812 |\n| 150 | 114613846376 | 30 | 7206286 |\n| 200 | 11954655830925 | 40 | 5076120114 |\n| 250 | 732839540340934 | 50 | 3831141038816 |",0]
["|  | (n,k,d,w)min | ii=0<br>n−k |\n| --- | --- | --- |\n| RM(10,4) | (1024,386,64,192) | ≤2 |\n| RM(10,5) | (1024,638,32,98) | ≤2 |","| RM(11,5) | (2048,1024,64,306) | ≤2 |\n| --- | --- | --- |\n| RM(12,5) | (4096,1586,128,855) | ≤2 |\n| RM(12,6) | (4096,2510,64,458) | ≤2 |",1]
["|  | (n,k,d,w)min | ii=0<br>n−k |\n| --- | --- | --- |\n| RM(10,4) | (1024,386,64,192) | ≤2 |\n| RM(10,5) | (1024,638,32,98) | ≤2 |","| 200 | 11954655830925 | 40 | 5076120114 |\n| --- | --- | --- | --- |\n| 250 | 732839540340934 | 50 | 3831141038816 |",0]
["| FuelCategory | CategoryLabel | EIA-860Labels |\n| --- | --- | --- |\n| Coal | COW | ANT,BIT,LIG,SUB,WC |\n| Petroleum | PEL | RC,DFO,JF,KER,PC,RFO,WO |\n| NaturalGas | NG | BFG,NG,OG,PG,SG,SGC |","| Nuclear | NUC | NUC |\n| --- | --- | --- |\n| Biomass | BIO | AB,MSW,OBS,WDS,OBL,SLW,BLQ,WDL |\n| DispatchableRenewables | DRN | WAT,GEO |\n| Renewables | RN | SUN,WND |",1]
["| FuelCategory | CategoryLabel | EIA-860Labels |\n| --- | --- | --- |\n| Coal | COW | ANT,BIT,LIG,SUB,WC |\n| Petroleum | PEL | RC,DFO,JF,KER,PC,RFO,WO |\n| NaturalGas | NG | BFG,NG,OG,PG,SG,SGC |","| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |\n| --- | --- | --- | --- | --- |\n| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |\n| Total | 5286 | 1420 | 325 | - |\n| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |\n| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1351<br>1632<br>182<br>772<br>534<br>1767 | 207<br>266<br>43<br>135<br>100<br>250 | 188<br>312<br>30<br>106<br>99<br>272 | .153<br>.163<br>.236<br>.175<br>.187<br>.141 |\n| Total | 6238 | 1001 | 1007 | - |",0]
["| FuelCategory | CategoryLabel | EIA-860Labels |\n| --- | --- | --- |\n| Coal | COW | ANT,BIT,LIG,SUB,WC |\n| Petroleum | PEL | RC,DFO,JF,KER,PC,RFO,WO |\n| NaturalGas | NG | BFG,NG,OG,PG,SG,SGC |\n| Nuclear | NUC | NUC |","| Biomass | BIO | AB,MSW,OBS,WDS,OBL,SLW,BLQ,WDL |\n| --- | --- | --- |\n| DispatchableRenewables | DRN | WAT,GEO |\n| Renewables | RN | SUN,WND |",1]
["| FuelCategory | CategoryLabel | EIA-860Labels |\n| --- | --- | --- |\n| Coal | COW | ANT,BIT,LIG,SUB,WC |\n| Petroleum | PEL | RC,DFO,JF,KER,PC,RFO,WO |\n| NaturalGas | NG | BFG,NG,OG,PG,SG,SGC |\n| Nuclear | NUC | NUC |","| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1351<br>1632<br>182<br>772<br>534<br>1767 | 207<br>266<br>43<br>135<br>100<br>250 | 188<br>312<br>30<br>106<br>99<br>272 | .153<br>.163<br>.236<br>.175<br>.187<br>.141 |\n| --- | --- | --- | --- | --- |\n| Total | 6238 | 1001 | 1007 | - |",0]
["| Dataset | Variable# | Avgdegree | Maxdegree |\n| --- | --- | --- | --- |\n| Alarm | 37 | 1.2432 | 4 |\n| Hailﬁnder | 56 | 1.1786 | 4 |\n| Win95pts | 76 | 0.9211 | 6 |","| Pigs | 441 | 1.3424 | 2 |\n| --- | --- | --- | --- |\n| Link | 724 | 1.5539 | 3 |",1]
["| Dataset | Variable# | Avgdegree | Maxdegree |\n| --- | --- | --- | --- |\n| Alarm | 37 | 1.2432 | 4 |\n| Hailﬁnder | 56 | 1.1786 | 4 |\n| Win95pts | 76 | 0.9211 | 6 |","| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailﬁnder |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |\n| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |\n| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |\n| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",0]
["| Dataset | Variable# | Avgdegree | Maxdegree |\n| --- | --- | --- | --- |\n| Alarm | 37 | 1.2432 | 4 |\n| Hailﬁnder | 56 | 1.1786 | 4 |\n| Win95pts | 76 | 0.9211 | 6 |","| Pigs | 441 | 1.3424 | 2 |\n| --- | --- | --- | --- |\n| Link | 724 | 1.5539 | 3 |",1]
["| Dataset | Variable# | Avgdegree | Maxdegree |\n| --- | --- | --- | --- |\n| Alarm | 37 | 1.2432 | 4 |\n| Hailﬁnder | 56 | 1.1786 | 4 |\n| Win95pts | 76 | 0.9211 | 6 |","| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",0]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| RG65 | 80.66 | 82.96 | 47.53 | 47.67 |\n| WS | 65.89 | 74.37 | 54.21 | 54.35 |\n| RW | 45.11 | 51.23 | 43.96 | 43.72 |\n| MEN | 73.56 | 77.22 | 65.48 | 65.62 |\n| MTurk | 64.35 | 66.11 | 59.65 | 60.03 |","| SimLex | 34.05 | 36.55 | 34.86 | 34.91 |\n| --- | --- | --- | --- | --- |\n| SimVerb | 16.05 | 21.84 | 23.79 | 23.83 |",1]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| RG65 | 80.66 | 82.96 | 47.53 | 47.67 |\n| WS | 65.89 | 74.37 | 54.21 | 54.35 |\n| RW | 45.11 | 51.23 | 43.96 | 43.72 |\n| MEN | 73.56 | 77.22 | 65.48 | 65.62 |\n| MTurk | 64.35 | 66.11 | 59.65 | 60.03 |","|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| 2012 | 38.03 | 37.66 | 44.51 | 44.63 |\n| 2013 | 37.47 | 36.85 | 43.21 | 42.74 |\n| 2014 | 46.06 | 48.32 | 52.85 | 52.87 |\n| 2015 | 47.82 | 51.76 | 56.22 | 56.14 |\n| SICK | 51.58 | 51.76 | 56.15 | 56.11 |\n| all | 43.48 | 44.67 | 50.01 | 50.23 |",0]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| RG65 | 80.66 | 82.96 | 47.53 | 47.67 |\n| WS | 65.89 | 74.37 | 54.21 | 54.35 |\n| RW | 45.11 | 51.23 | 43.96 | 43.72 |","| MEN | 73.56 | 77.22 | 65.48 | 65.62 |\n| --- | --- | --- | --- | --- |\n| MTurk | 64.35 | 66.11 | 59.65 | 60.03 |\n| SimLex | 34.05 | 36.55 | 34.86 | 34.91 |\n| SimVerb | 16.05 | 21.84 | 23.79 | 23.83 |",1]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| RG65 | 80.66 | 82.96 | 47.53 | 47.67 |\n| WS | 65.89 | 74.37 | 54.21 | 54.35 |\n| RW | 45.11 | 51.23 | 43.96 | 43.72 |","| 2013 | 37.47 | 36.85 | 43.21 | 42.74 |\n| --- | --- | --- | --- | --- |\n| 2014 | 46.06 | 48.32 | 52.85 | 52.87 |\n| 2015 | 47.82 | 51.76 | 56.22 | 56.14 |\n| SICK | 51.58 | 51.76 | 56.15 | 56.11 |\n| all | 43.48 | 44.67 | 50.01 | 50.23 |",0]
["| Dataset | c(EXIF,mm)err |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |","| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",1]
["| Dataset | c(EXIF,mm)err |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |","|  | #images | η | COLMAP | Ours | SpeedUp |\n| --- | --- | --- | --- | --- | --- |\n| Fountain | 11 | ×1 | 506.64 | 177.80 | 2.85 |\n| ×0.5 | 202.02 | 44.16 | 4.57 |  |  |\n| ×0.25 | 88.38 | 12.41 | 7.12 |  |  |\n| Herzjesu | 8 | ×1 | 363.9 | 92.57 | 3.93 |\n| ×0.5 | 142.80 | 23.19 | 6.16 |  |  |\n| ×0.25 | 63.36 | 7.28 | 8.70 |  |  |",0]
["| Dataset | c(EXIF,mm)err |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |  |\n| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |","| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",1]
["| Dataset | c(EXIF,mm)err |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |  |\n| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |","| ×0.25 | 88.38 | 12.41 | 7.12 |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Herzjesu | 8 | ×1 | 363.9 | 92.57 | 3.93 |\n| ×0.5 | 142.80 | 23.19 | 6.16 |  |  |\n| ×0.25 | 63.36 | 7.28 | 8.70 |  |  |",0]
["| R | PCA | FBsPCA | FFBsPCA |\n| --- | --- | --- | --- |\n| 30 | 8 | 7 | 51 |","| 60 | 214 | 50 | 87 |\n| --- | --- | --- | --- |\n| 90 | 1,636 | 168 | 148 |\n| 120 | 1,640 | 413 | 234 |\n| 150 | 1,808 | 757 | 371 |\n| 180 | 1,988 | 1,437 | 657 |\n| 210 | 2,106 | 2,274 | 695 |\n| 240 | 2,188 | 3,827 | 892 |",1]
["| R | PCA | FBsPCA | FFBsPCA |\n| --- | --- | --- | --- |\n| 30 | 8 | 7 | 51 |","| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |\n| 615 | 245 |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |\n| 285 | 155 |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| R | PCA | FBsPCA | FFBsPCA |\n| --- | --- | --- | --- |\n| 30 | 8 | 7 | 51 |\n| 60 | 214 | 50 | 87 |\n| 90 | 1,636 | 168 | 148 |\n| 120 | 1,640 | 413 | 234 |\n| 150 | 1,808 | 757 | 371 |","| 180 | 1,988 | 1,437 | 657 |\n| --- | --- | --- | --- |\n| 210 | 2,106 | 2,274 | 695 |\n| 240 | 2,188 | 3,827 | 892 |",1]
["| R | PCA | FBsPCA | FFBsPCA |\n| --- | --- | --- | --- |\n| 30 | 8 | 7 | 51 |\n| 60 | 214 | 50 | 87 |\n| 90 | 1,636 | 168 | 148 |\n| 120 | 1,640 | 413 | 234 |\n| 150 | 1,808 | 757 | 371 |","| 110 | 85 |\n| --- | --- |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["|  | RealServersFakeServers | ISP |\n| --- | --- | --- |\n| China | 202.46.32.29220.181.57.217<br>180.76.76.76223.96.100.100 | ShenzhenSunriseTechnologyCo.Ltd. |","| Indonesia | 202.134.0.155202.134.2.10<br>202.134.1.10180.131.144.44 | PTTelkomDivisiMultimedia |\n| --- | --- | --- |\n| Iran | 94.183.43.17094.183.92.90<br>2.179.167.1005.161.128.10 | AriaShatelCompanyLtd |\n| Turkey | 195.175.39.39195.175.30.39<br>195.175.39.40195.175.30.100 | TurkTelekomunikasyonAnonimSirketi |",1]
["|  | RealServersFakeServers | ISP |\n| --- | --- | --- |\n| China | 202.46.32.29220.181.57.217<br>180.76.76.76223.96.100.100 | ShenzhenSunriseTechnologyCo.Ltd. |","|  | Year | R | P | F |\n| --- | --- | --- | --- | --- |\n| MSRA-TD500 |  |  |  |  |\n| CCTN | – | 0.65 | 0.79 | 0.71 |\n| Yinetal. | 2015 | 0.63 | 0.81 | 0.71 |\n| Yinetal. | 2014 | 0.61 | 0.71 | 0.66 |\n| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |\n| Kangetal. | 2014 | 0.62 | 0.71 | 0.66 |\n| Yaoetal. | 2012 | 0.63 | 0.63 | 0.60 |\n| ICDAR2011 |  |  |  |  |\n| CCTN | – | 0.79 | 0.88 | 0.84 |\n| Yinetal. | 2015 | 0.66 | 0.84 | 0.74 |\n| ICDAR2013 |  |  |  |  |\n| CCTN | – | 0.83 | 0.90 | 0.86 |\n| Yinetal. | 2015 | 0.65 | 0.84 | 0.73 |",0]
["|  | RealServersFakeServers | ISP |\n| --- | --- | --- |\n| China | 202.46.32.29220.181.57.217<br>180.76.76.76223.96.100.100 | ShenzhenSunriseTechnologyCo.Ltd. |\n| Indonesia | 202.134.0.155202.134.2.10<br>202.134.1.10180.131.144.44 | PTTelkomDivisiMultimedia |","| Iran | 94.183.43.17094.183.92.90<br>2.179.167.1005.161.128.10 | AriaShatelCompanyLtd |\n| --- | --- | --- |\n| Turkey | 195.175.39.39195.175.30.39<br>195.175.39.40195.175.30.100 | TurkTelekomunikasyonAnonimSirketi |",1]
["|  | RealServersFakeServers | ISP |\n| --- | --- | --- |\n| China | 202.46.32.29220.181.57.217<br>180.76.76.76223.96.100.100 | ShenzhenSunriseTechnologyCo.Ltd. |\n| Indonesia | 202.134.0.155202.134.2.10<br>202.134.1.10180.131.144.44 | PTTelkomDivisiMultimedia |","| CCTN | – | 0.65 | 0.79 | 0.71 |\n| --- | --- | --- | --- | --- |\n| Yinetal. | 2015 | 0.63 | 0.81 | 0.71 |\n| Yinetal. | 2014 | 0.61 | 0.71 | 0.66 |\n| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |\n| Kangetal. | 2014 | 0.62 | 0.71 | 0.66 |\n| Yaoetal. | 2012 | 0.63 | 0.63 | 0.60 |\n| ICDAR2011 |  |  |  |  |\n| CCTN | – | 0.79 | 0.88 | 0.84 |\n| Yinetal. | 2015 | 0.66 | 0.84 | 0.74 |\n| ICDAR2013 |  |  |  |  |\n| CCTN | – | 0.83 | 0.90 | 0.86 |\n| Yinetal. | 2015 | 0.65 | 0.84 | 0.73 |",0]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.ash608 | 125 | 390 | 0.05 | 83 | 2 | 0.016 |\n| L125.will199 | 125 | 386 | 0.05 | 83 | 1 | 0.008 |","| L125.west0167 | 125 | 444 | 0.06 | 83 | 1 | 0.008 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ash331 | 104 | 331 | 0.06 | 69 | 2 | 0.019 |\n| west0132 | 132 | 560 | 0.06 | 88 | 1 | 0.008 |\n| rw136 | 136 | 641 | 0.07 | 90 | 1 | 0.007 |\n| bcspwr03 | 118 | 576 | 0.08 | 78 | 2 | 0.017 |\n| gre115 | 115 | 576 | 0.09 | 76 | 3 | 0.026 |\n| L125.dw162 | 125 | 943 | 0.12 | 83 | 6 | 0.048 |\n| L125.can187 | 125 | 1022 | 0.13 | 83 | 12 | 0.096 |\n| L125.gre185 | 125 | 1177 | 0.15 | 83 | 6 | 0.048 |\n| L125.can161 | 125 | 1257 | 0.16 | 83 | 12 | 0.096 |\n| L125.lop163 | 125 | 1218 | 0.16 | 83 | 9 | 0.072 |\n| can144 | 144 | 1656 | 0.16 | 96 | 18 | 0.125 |\n| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |\n| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |\n| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |\n| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |\n| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |\n| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 |",1]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.ash608 | 125 | 390 | 0.05 | 83 | 2 | 0.016 |\n| L125.will199 | 125 | 386 | 0.05 | 83 | 1 | 0.008 |","| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |\n| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |\n| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |\n| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |\n| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |\n| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |\n| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |\n| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |\n| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |\n| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |\n| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |\n| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |\n| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |\n| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |\n| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |\n| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |\n| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |\n| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |\n| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |\n| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |\n| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |\n| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |\n| ﬁdapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |\n| ﬁdap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 |",0]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.ash608 | 125 | 390 | 0.05 | 83 | 2 | 0.016 |\n| L125.will199 | 125 | 386 | 0.05 | 83 | 1 | 0.008 |\n| L125.west0167 | 125 | 444 | 0.06 | 83 | 1 | 0.008 |\n| ash331 | 104 | 331 | 0.06 | 69 | 2 | 0.019 |\n| west0132 | 132 | 560 | 0.06 | 88 | 1 | 0.008 |\n| rw136 | 136 | 641 | 0.07 | 90 | 1 | 0.007 |\n| bcspwr03 | 118 | 576 | 0.08 | 78 | 2 | 0.017 |\n| gre115 | 115 | 576 | 0.09 | 76 | 3 | 0.026 |\n| L125.dw162 | 125 | 943 | 0.12 | 83 | 6 | 0.048 |\n| L125.can187 | 125 | 1022 | 0.13 | 83 | 12 | 0.096 |\n| L125.gre185 | 125 | 1177 | 0.15 | 83 | 6 | 0.048 |\n| L125.can161 | 125 | 1257 | 0.16 | 83 | 12 | 0.096 |\n| L125.lop163 | 125 | 1218 | 0.16 | 83 | 9 | 0.072 |\n| can144 | 144 | 1656 | 0.16 | 96 | 18 | 0.125 |\n| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |\n| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |","| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |\n| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |\n| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 |",1]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.ash608 | 125 | 390 | 0.05 | 83 | 2 | 0.016 |\n| L125.will199 | 125 | 386 | 0.05 | 83 | 1 | 0.008 |\n| L125.west0167 | 125 | 444 | 0.06 | 83 | 1 | 0.008 |\n| ash331 | 104 | 331 | 0.06 | 69 | 2 | 0.019 |\n| west0132 | 132 | 560 | 0.06 | 88 | 1 | 0.008 |\n| rw136 | 136 | 641 | 0.07 | 90 | 1 | 0.007 |\n| bcspwr03 | 118 | 576 | 0.08 | 78 | 2 | 0.017 |\n| gre115 | 115 | 576 | 0.09 | 76 | 3 | 0.026 |\n| L125.dw162 | 125 | 943 | 0.12 | 83 | 6 | 0.048 |\n| L125.can187 | 125 | 1022 | 0.13 | 83 | 12 | 0.096 |\n| L125.gre185 | 125 | 1177 | 0.15 | 83 | 6 | 0.048 |\n| L125.can161 | 125 | 1257 | 0.16 | 83 | 12 | 0.096 |\n| L125.lop163 | 125 | 1218 | 0.16 | 83 | 9 | 0.072 |\n| can144 | 144 | 1656 | 0.16 | 96 | 18 | 0.125 |\n| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |\n| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |","| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |\n| --- | --- | --- | --- | --- | --- | --- |\n| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |\n| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |\n| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |\n| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |\n| ﬁdapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |\n| ﬁdap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 |",0]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 9860 | 0.037 | 0.219 | 0.064 |\n| C-CENI | 10121 | 0.018 | 0.162 | 0.032 |\n| I-CENI | 10446 | 0.021 | 0.322 | 0.039 |","| MMRate | 46078 | 0.033 | 0.007 | 0.012 |\n| --- | --- | --- | --- | --- |\n| NetRate | 18378 | 0.027 | 0.249 | 0.049 |",1]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 9860 | 0.037 | 0.219 | 0.064 |\n| C-CENI | 10121 | 0.018 | 0.162 | 0.032 |\n| I-CENI | 10446 | 0.021 | 0.322 | 0.039 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |\n| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 9860 | 0.037 | 0.219 | 0.064 |","| C-CENI | 10121 | 0.018 | 0.162 | 0.032 |\n| --- | --- | --- | --- | --- |\n| I-CENI | 10446 | 0.021 | 0.322 | 0.039 |\n| MMRate | 46078 | 0.033 | 0.007 | 0.012 |\n| NetRate | 18378 | 0.027 | 0.249 | 0.049 |",1]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 9860 | 0.037 | 0.219 | 0.064 |","| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| --- | --- | --- | --- | --- |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |\n| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |\n| 2.25M | 1383 | 1110 |\n| 4M | 1323 | 2078 |","| 6.25M | 1261 | 4093 |\n| --- | --- | --- |\n| 9M | 1256 | 7031 |",1]
["| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |\n| 2.25M | 1383 | 1110 |\n| 4M | 1323 | 2078 |","| r | 2 | 3 | 4 |\n| --- | --- | --- | --- |\n| n1 | 1000 | 957 | 814 |\n| n2 | 964 | 867 | 571 |\n| n3 | 36 | 90 | 243 |\n| n4 | 0 | 43 | 180 |\n| n5 | 0 | 0 | 6 |",0]
["| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |","| 2.25M | 1383 | 1110 |\n| --- | --- | --- |\n| 4M | 1323 | 2078 |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",1]
["| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |","| n2 | 964 | 867 | 571 |\n| --- | --- | --- | --- |\n| n3 | 36 | 90 | 243 |\n| n4 | 0 | 43 | 180 |\n| n5 | 0 | 0 | 6 |",0]
["| Fixednetworks<br>−1−5<br>Conﬁgurationofevolutionarynetworkwhenitreaches:(i)b<10,(ii)b<10. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |","| 32×32(i) | 2 | 5 | 8 | 12 | 16 |\n| --- | --- | --- | --- | --- | --- |\n| 320×320(i) | 2 | 5 | 9 | 13 | 17 |\n| 32×32(ii) | 2 | 4 | 7 | 9 | 12 |\n| 320×320(ii) | 2 | 5 | 7 | 10 | 12 |",1]
["| Fixednetworks<br>−1−5<br>Conﬁgurationofevolutionarynetworkwhenitreaches:(i)b<10,(ii)b<10. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |","| Net | ISPA |\n| --- | --- |\n| A<br>B | 112.1<br>92.1 |\n| A<br>B | 123.3<br>133.3 |\n| A<br>B | 144.8<br>156.5 |\n| A<br>B | 81.8<br>99.5 |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",0]
["| Fixednetworks<br>−1−5<br>Conﬁgurationofevolutionarynetworkwhenitreaches:(i)b<10,(ii)b<10. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |\n| 32×32(i) | 2 | 5 | 8 | 12 | 16 |\n| 320×320(i) | 2 | 5 | 9 | 13 | 17 |","| 32×32(ii) | 2 | 4 | 7 | 9 | 12 |\n| --- | --- | --- | --- | --- | --- |\n| 320×320(ii) | 2 | 5 | 7 | 10 | 12 |",1]
["| Fixednetworks<br>−1−5<br>Conﬁgurationofevolutionarynetworkwhenitreaches:(i)b<10,(ii)b<10. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |\n| 32×32(i) | 2 | 5 | 8 | 12 | 16 |\n| 320×320(i) | 2 | 5 | 9 | 13 | 17 |","| A<br>B | 123.3<br>133.3 |\n| --- | --- |\n| A<br>B | 144.8<br>156.5 |\n| A<br>B | 81.8<br>99.5 |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",0]
["| GlobalNet | ReﬁneNet | AP(OKS) |\n| --- | --- | --- |\n| — | L2loss | 68.2 |\n| L2loss | L2loss | 68.6 |\n| — | L2loss* | 68.5 |","| L2loss | L2loss* | 69.4 |\n| --- | --- | --- |\n| L2loss* | L2loss* | 69.1 |",1]
["| GlobalNet | ReﬁneNet | AP(OKS) |\n| --- | --- | --- |\n| — | L2loss | 68.2 |\n| L2loss | L2loss | 68.6 |\n| — | L2loss* | 68.5 |","| Models | AP(OKS) | FLOPs |\n| --- | --- | --- |\n| GlobalNetonly | 66.6 | 3.90G |\n| GlobalNet+Concat | 68.5 | 5.87G |\n| GlobalNet+1bottleneck+Concat | 69.2 | 6.92G |\n| ours(CPN) | 69.4 | 6.20G |",0]
["| GlobalNet | ReﬁneNet | AP(OKS) |\n| --- | --- | --- |\n| — | L2loss | 68.2 |","| L2loss | L2loss | 68.6 |\n| --- | --- | --- |\n| — | L2loss* | 68.5 |\n| L2loss | L2loss* | 69.4 |\n| L2loss* | L2loss* | 69.1 |",1]
["| GlobalNet | ReﬁneNet | AP(OKS) |\n| --- | --- | --- |\n| — | L2loss | 68.2 |","| GlobalNet+1bottleneck+Concat | 69.2 | 6.92G |\n| --- | --- | --- |\n| ours(CPN) | 69.4 | 6.20G |",0]
["| b | 7 | 9 | 10 | 12 |\n| --- | --- | --- | --- | --- |\n| CW | 81min | 92min | 103min | 124min |","| QC | 0.99 | 0.994 | 0.993 | 0.991 |\n| --- | --- | --- | --- | --- |\n| CC | 102min | 123min | 128min | 131min |\n| QD | 0.94 | 0.96 | 0.95 | 0.94 |",1]
["| b | 7 | 9 | 10 | 12 |\n| --- | --- | --- | --- | --- |\n| CW | 81min | 92min | 103min | 124min |","| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |\n| --- | --- | --- | --- | --- | --- |\n| CW | 99min | 102min | 121min | 155min | 190min |\n| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |\n| CC | 95min | 123min | 132min | 141min | 151min |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",0]
["| b | 7 | 9 | 10 | 12 |\n| --- | --- | --- | --- | --- |\n| CW | 81min | 92min | 103min | 124min |","| QC | 0.99 | 0.994 | 0.993 | 0.991 |\n| --- | --- | --- | --- | --- |\n| CC | 102min | 123min | 128min | 131min |\n| QD | 0.94 | 0.96 | 0.95 | 0.94 |",1]
["| b | 7 | 9 | 10 | 12 |\n| --- | --- | --- | --- | --- |\n| CW | 81min | 92min | 103min | 124min |","| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |\n| --- | --- | --- | --- | --- | --- |\n| CC | 95min | 123min | 132min | 141min | 151min |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",0]
["|  | #images | η | COLMAP | Ours | SpeedUp |\n| --- | --- | --- | --- | --- | --- |\n| Fountain | 11 | ×1 | 506.64 | 177.80 | 2.85 |","| ×0.5 | 202.02 | 44.16 | 4.57 |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ×0.25 | 88.38 | 12.41 | 7.12 |  |  |\n| Herzjesu | 8 | ×1 | 363.9 | 92.57 | 3.93 |\n| ×0.5 | 142.80 | 23.19 | 6.16 |  |  |\n| ×0.25 | 63.36 | 7.28 | 8.70 |  |  |",1]
["|  | #images | η | COLMAP | Ours | SpeedUp |\n| --- | --- | --- | --- | --- | --- |\n| Fountain | 11 | ×1 | 506.64 | 177.80 | 2.85 |","| Dataset | c(EXIF,mm)err |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |  |\n| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |\n| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["|  | #images | η | COLMAP | Ours | SpeedUp |\n| --- | --- | --- | --- | --- | --- |\n| Fountain | 11 | ×1 | 506.64 | 177.80 | 2.85 |\n| ×0.5 | 202.02 | 44.16 | 4.57 |  |  |\n| ×0.25 | 88.38 | 12.41 | 7.12 |  |  |\n| Herzjesu | 8 | ×1 | 363.9 | 92.57 | 3.93 |","| ×0.5 | 142.80 | 23.19 | 6.16 |\n| --- | --- | --- | --- |\n| ×0.25 | 63.36 | 7.28 | 8.70 |",1]
["|  | #images | η | COLMAP | Ours | SpeedUp |\n| --- | --- | --- | --- | --- | --- |\n| Fountain | 11 | ×1 | 506.64 | 177.80 | 2.85 |\n| ×0.5 | 202.02 | 44.16 | 4.57 |  |  |\n| ×0.25 | 88.38 | 12.41 | 7.12 |  |  |\n| Herzjesu | 8 | ×1 | 363.9 | 92.57 | 3.93 |","| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |","| Dropout1-0.3 | – | – | – |\n| --- | --- | --- | --- |\n| FC | 1×320/1 | 320 | 100 |",1]
["| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |","| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |\n| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |\n| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |\n| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |","| MaxPool | 2×2/2 | 128 | – |\n| --- | --- | --- | --- |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",1]
["| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |","| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |\n| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |\n| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 33.1/30.5 | 26.2/27.4 | 24.6/26.8 |","| EP | 35.4/35.9 | 38.6/37.4 | 37.7/37.0 |\n| --- | --- | --- | --- |\n| JRC | 52.6/42.9 | 55.4/44.2 | 58.9/45.9 |",1]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 33.1/30.5 | 26.2/27.4 | 24.6/26.8 |","| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |\n| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",0]
["| Ssrc | Stgt |  |\n| --- | --- | --- |\n| OS | EP | JRC |","| OS | 33.1/30.5 | 26.2/27.4 | 24.6/26.8 |\n| --- | --- | --- | --- |\n| EP | 35.4/35.9 | 38.6/37.4 | 37.7/37.0 |\n| JRC | 52.6/42.9 | 55.4/44.2 | 58.9/45.9 |",1]
["| Ssrc | Stgt |  |\n| --- | --- | --- |\n| OS | EP | JRC |","| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| --- | --- | --- | --- |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",0]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 143.6<br>124.4 |\n| A<br>B | 154.6<br>165.5 |","| A<br>B | 165.4<br>197.7 |\n| --- | --- |\n| A<br>B | 186.7<br>205.1 |",1]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 143.6<br>124.4 |\n| A<br>B | 154.6<br>165.5 |","| Net | ISPA |\n| --- | --- |\n| A<br>B | 112.1<br>92.1 |\n| A<br>B | 123.3<br>133.3 |\n| A<br>B | 144.8<br>156.5 |\n| A<br>B | 81.8<br>99.5 |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",0]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 143.6<br>124.4 |","| A<br>B | 154.6<br>165.5 |\n| --- | --- |\n| A<br>B | 165.4<br>197.7 |\n| A<br>B | 186.7<br>205.1 |",1]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 143.6<br>124.4 |","| A<br>B | 81.8<br>99.5 |\n| --- | --- |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",0]
["| IDNetworkstructureAveragePERmin-maxPERparamsops |\n| --- |\n| 1DNN2000+2x100022.0221.86-22.116.9M6.9M |\n| 2DNN2000+4x100021.8721.68-21.988.9M8.9M |\n| 3CNNLWS+2x100020.1719.92-20.415.4M10.7M |\n| 4CNNFWS+2x100020.3120.16-20.588.5M13.6M |","| 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |\n| --- |\n| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M |",1]
["| IDNetworkstructureAveragePERmin-maxPERparamsops |\n| --- |\n| 1DNN2000+2x100022.0221.86-22.116.9M6.9M |\n| 2DNN2000+4x100021.8721.68-21.988.9M8.9M |\n| 3CNNLWS+2x100020.1719.92-20.415.4M10.7M |\n| 4CNNFWS+2x100020.3120.16-20.588.5M13.6M |","| CIFAR-10 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 91.93 | 88.70 | 89.28 | 90.48 | 91.01 |\n| VGG-16 | 93.59 | 91.60 | 91.98 | 92.75 | 93.20 |\n| ResNet-20 | 92.68 | 87.44 | 87.82 | 88.65 | 90.07 |\n| ResNet-32 | 93.40 | 89.49 | 90.65 | 90.94 | 92.04 |\n| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",0]
["| IDNetworkstructureAveragePERmin-maxPERparamsops |\n| --- |\n| 1DNN2000+2x100022.0221.86-22.116.9M6.9M |\n| 2DNN2000+4x100021.8721.68-21.988.9M8.9M |\n| 3CNNLWS+2x100020.1719.92-20.415.4M10.7M |","| 4CNNFWS+2x100020.3120.16-20.588.5M13.6M |\n| --- |\n| 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |\n| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M |",1]
["| IDNetworkstructureAveragePERmin-maxPERparamsops |\n| --- |\n| 1DNN2000+2x100022.0221.86-22.116.9M6.9M |\n| 2DNN2000+4x100021.8721.68-21.988.9M8.9M |\n| 3CNNLWS+2x100020.1719.92-20.415.4M10.7M |","| VGG-11 | 91.93 | 88.70 | 89.28 | 90.48 | 91.01 |\n| --- | --- | --- | --- | --- | --- |\n| VGG-16 | 93.59 | 91.60 | 91.98 | 92.75 | 93.20 |\n| ResNet-20 | 92.68 | 87.44 | 87.82 | 88.65 | 90.07 |\n| ResNet-32 | 93.40 | 89.49 | 90.65 | 90.94 | 92.04 |\n| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",0]
["| Test<br>Case | HAMPI | Kaluza | SUSHI | CVC4 | Rex | XData<br>solver |\n| --- | --- | --- | --- | --- | --- | --- |\n| S1 | 150 | 706 | 22 | 6 | 124 | 4 |","| S2 | 136 | 706 | 34 | 6 | 140 | 4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| S3 | 139 | 708 | 39 | 9 | 140 | 4 |\n| S4 | - | 2444 | 175 | 17 | 168 | 15 |\n| S5 | - | 671 | 160 | 19 | 156 | 14 |\n| S6 | 137 | 380 | 54 | * | 256 | 4 |\n| S7 | - | 653 | - | 20 | - | 11 |\n| S8 | - | - | - | - | - | 23 |\n| S9 | - | - | - | - | - | 11 |\n| S10 | - | - | - | - | - | 30 |",1]
["| Test<br>Case | HAMPI | Kaluza | SUSHI | CVC4 | Rex | XData<br>solver |\n| --- | --- | --- | --- | --- | --- | --- |\n| S1 | 150 | 706 | 22 | 6 | 124 | 4 |","|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 17 | 5 | 1 | - | - | 10 |\n| SL | 4 | 24 | 2 | - | 1 | 19 |\n| SR | 3 | - | 29 | - | 1 | 44 |\n| BH | - | 1 | - | 20 | 1 | 19 |\n| SH | 1 | - | - | 1 | 23 | 32 |\n| Del | - | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",0]
["| Test<br>Case | HAMPI | Kaluza | SUSHI | CVC4 | Rex | XData<br>solver |\n| --- | --- | --- | --- | --- | --- | --- |\n| S1 | 150 | 706 | 22 | 6 | 124 | 4 |\n| S2 | 136 | 706 | 34 | 6 | 140 | 4 |\n| S3 | 139 | 708 | 39 | 9 | 140 | 4 |\n| S4 | - | 2444 | 175 | 17 | 168 | 15 |\n| S5 | - | 671 | 160 | 19 | 156 | 14 |\n| S6 | 137 | 380 | 54 | * | 256 | 4 |\n| S7 | - | 653 | - | 20 | - | 11 |\n| S8 | - | - | - | - | - | 23 |","| S9 | - | - | - | - | - | 11 |\n| --- | --- | --- | --- | --- | --- | --- |\n| S10 | - | - | - | - | - | 30 |",1]
["| Test<br>Case | HAMPI | Kaluza | SUSHI | CVC4 | Rex | XData<br>solver |\n| --- | --- | --- | --- | --- | --- | --- |\n| S1 | 150 | 706 | 22 | 6 | 124 | 4 |\n| S2 | 136 | 706 | 34 | 6 | 140 | 4 |\n| S3 | 139 | 708 | 39 | 9 | 140 | 4 |\n| S4 | - | 2444 | 175 | 17 | 168 | 15 |\n| S5 | - | 671 | 160 | 19 | 156 | 14 |\n| S6 | 137 | 380 | 54 | * | 256 | 4 |\n| S7 | - | 653 | - | 20 | - | 11 |\n| S8 | - | - | - | - | - | 23 |","| Del | - | 1 | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",0]
["| 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |","| 32.0 | 30.0 | 21.7 | 31.9 | 19.5 | 14.8 | 24.1 | 29.6 | 13.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",1]
["| 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |","| 32.0 | 30.0 | 21.7 | 31.9 | 19.5 | 14.8 | 24.1 | 29.6 | 13.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",1]
["| 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |","| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["|  | aeroplane | bicycle | bird | boat | bottle | bus | car |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 69.1 | 33.0 | 72.8 | 53.9 | 70.7 | 76.8 | 72.1 |","| RGB+dist | 75.7 | 34.1 | 75.8 | 59.0 | 71.7 | 75.8 | 76.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+coord | 75.7 | 32.9 | 76.2 | 55.1 | 70.1 | 75.2 | 73.9 |\n| RGB+dist+coord | 77.6 | 33.8 | 77.7 | 54.9 | 72.7 | 75.1 | 74.5 |",1]
["|  | aeroplane | bicycle | bird | boat | bottle | bus | car |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 69.1 | 33.0 | 72.8 | 53.9 | 70.7 | 76.8 | 72.1 |","|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |\n| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["|  | aeroplane | bicycle | bird | boat | bottle | bus | car |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 69.1 | 33.0 | 72.8 | 53.9 | 70.7 | 76.8 | 72.1 |\n| RGB+dist | 75.7 | 34.1 | 75.8 | 59.0 | 71.7 | 75.8 | 76.2 |","| RGB+coord | 75.7 | 32.9 | 76.2 | 55.1 | 70.1 | 75.2 | 73.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+dist+coord | 77.6 | 33.8 | 77.7 | 54.9 | 72.7 | 75.1 | 74.5 |",1]
["|  | aeroplane | bicycle | bird | boat | bottle | bus | car |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 69.1 | 33.0 | 72.8 | 53.9 | 70.7 | 76.8 | 72.1 |\n| RGB+dist | 75.7 | 34.1 | 75.8 | 59.0 | 71.7 | 75.8 | 76.2 |","| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["| TotalnumberofJobs | 6064 |\n| --- | --- |\n| Traceduration(s) | 35032 |\n| Averagenumberoftasksperjob | 26.31 |","| Minimumtaskduration(s) | 12.8 |\n| --- | --- |\n| Maximumtaskduration(s) | 22919.3 |\n| Averagetaskduration(s) | 1179.7 |",1]
["| TotalnumberofJobs | 6064 |\n| --- | --- |\n| Traceduration(s) | 35032 |\n| Averagenumberoftasksperjob | 26.31 |","| NumberofWorker | Time(minutes) | Scalability |\n| --- | --- | --- |\n| 1 | 4841 | 1 |\n| 2 | 3039 | 1.59 |\n| 4 | 1644 | 2.84 |\n| 8 | 850 | 5.70 |\n| 16 | 430 | 11.26 |\n| 32 | 333 | 14.56 |",0]
["| TotalnumberofJobs | 6064 |\n| --- | --- |\n| Traceduration(s) | 35032 |","| Averagenumberoftasksperjob | 26.31 |\n| --- | --- |\n| Minimumtaskduration(s) | 12.8 |\n| Maximumtaskduration(s) | 22919.3 |\n| Averagetaskduration(s) | 1179.7 |",1]
["| TotalnumberofJobs | 6064 |\n| --- | --- |\n| Traceduration(s) | 35032 |","| 4 | 1644 | 2.84 |\n| --- | --- | --- |\n| 8 | 850 | 5.70 |\n| 16 | 430 | 11.26 |\n| 32 | 333 | 14.56 |",0]
["| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |","| 6 | 114 | 119 | 126 | 130 | 130 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",1]
["| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |","| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |\n| 349 | 1 |\n| 446 | 2 |\n| 307 | 1 |\n| 1472 | 142 |\n| 332 | 1 |\n| 941 | 81 |\n| 646 | 39 |\n| 1922 | 201 |\n| 623 | 38 |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",0]
["| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |","| 6 | 114 | 119 | 126 | 130 | 130 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",1]
["| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |","| 1472 | 142 |\n| --- | --- |\n| 332 | 1 |\n| 941 | 81 |\n| 646 | 39 |\n| 1922 | 201 |\n| 623 | 38 |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",0]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 84.85 | 86.45 | 94.91 | 96.40 |\n| 32 | 83.41 | 83.89 | 94.43 | 93.18 |\n| 64 | 83.82 | 85.93 | 96.04 | 96.23 |","| 100 | 83.49 | 85.53 | 93.93 | 95.74 |\n| --- | --- | --- | --- | --- |\n| 128 | 84.67 | 86.75 | 97.49 | 97.52 |\n| 150 | 85.84 | 86.33 | 97.49 | 97.27 |\n| 200 | 85.98 | 87.46 | 97.27 | 97.46 |",1]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 84.85 | 86.45 | 94.91 | 96.40 |\n| 32 | 83.41 | 83.89 | 94.43 | 93.18 |\n| 64 | 83.82 | 85.93 | 96.04 | 96.23 |","| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 87.02 | 88.73 | 96.60 | 97.79 |\n| 32 | 88.44 | 86.39 | 98.46 | 93.41 |\n| 64 | 88.29 | 88.56 | 99.06 | 96.55 |\n| 100 | 89.65 | 90.24 | 99.21 | 98.84 |\n| 128 | 89.24 | 89.31 | 98.79 | 98.26 |\n| 150 | 89.83 | 89.65 | 99.33 | 99.55 |\n| 200 | 89.92 | 90.65 | 99.71 | 99.47 |",0]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 84.85 | 86.45 | 94.91 | 96.40 |\n| 32 | 83.41 | 83.89 | 94.43 | 93.18 |\n| 64 | 83.82 | 85.93 | 96.04 | 96.23 |\n| 100 | 83.49 | 85.53 | 93.93 | 95.74 |","| 128 | 84.67 | 86.75 | 97.49 | 97.52 |\n| --- | --- | --- | --- | --- |\n| 150 | 85.84 | 86.33 | 97.49 | 97.27 |\n| 200 | 85.98 | 87.46 | 97.27 | 97.46 |",1]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 84.85 | 86.45 | 94.91 | 96.40 |\n| 32 | 83.41 | 83.89 | 94.43 | 93.18 |\n| 64 | 83.82 | 85.93 | 96.04 | 96.23 |\n| 100 | 83.49 | 85.53 | 93.93 | 95.74 |","| 150 | 89.83 | 89.65 | 99.33 | 99.55 |\n| --- | --- | --- | --- | --- |\n| 200 | 89.92 | 90.65 | 99.71 | 99.47 |",0]
["|  | MAE | MSE | r |\n| --- | --- | --- | --- |\n| Temporal | 18.03 | 549.28 | 0.4557 |\n| Spatial | 19.51 | 602.54 | 0.4267 |","| Twostream-1 | 14.53 | 323.98 | 0.5773 |\n| --- | --- | --- | --- |\n| Twostream-50 | 14.04 | 303.48 | 0.6505 |",1]
["|  | MAE | MSE | r |\n| --- | --- | --- | --- |\n| Temporal | 18.03 | 549.28 | 0.4557 |\n| Spatial | 19.51 | 602.54 | 0.4267 |","| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 82.1 | 111.3 | 18.8 |\n| 73.2 | 113.1 | 11.2 |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",0]
["|  | MAE | MSE | r |\n| --- | --- | --- | --- |\n| Temporal | 18.03 | 549.28 | 0.4557 |","| Spatial | 19.51 | 602.54 | 0.4267 |\n| --- | --- | --- | --- |\n| Twostream-1 | 14.53 | 323.98 | 0.5773 |\n| Twostream-50 | 14.04 | 303.48 | 0.6505 |",1]
["|  | MAE | MSE | r |\n| --- | --- | --- | --- |\n| Temporal | 18.03 | 549.28 | 0.4557 |","| 73.2 | 113.1 | 11.2 |\n| --- | --- | --- |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",0]
["| AND | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | false | ni | ni | ni | unk | asku | ni | ni | asku | unk |\n| false | false | false | false | false | false | false | false | false | false | false | false |","| inv | ni | false | inv | ni | ni | ni | ni | ni | inv | inv | ni |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| msk | ni | false | ni | msk | ni | ni | ni | ni | ni | msk | ni |\n| na | ni | false | ni | ni | na | ni | ni | ni | ni | na | ni |\n| nask | unk | false | ni | ni | ni | nask | unk | ni | ni | nask | unk |\n| nav | asku | false | ni | ni | ni | unk | nav | ni | ni | nav | unk |\n| ni | ni | false | ni | ni | ni | ni | ni | ni | ni | ni | ni |\n| oth | ni | false | inv | ni | ni | ni | ni | ni | oth | oth | ni |\n| true | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| unk | unk | false | ni | ni | ni | unk | unk | ni | ni | unk | unk |",1]
["| AND | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | false | ni | ni | ni | unk | asku | ni | ni | asku | unk |\n| false | false | false | false | false | false | false | false | false | false | false | false |","| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |\n| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| inv | ni | inv | inv | ni | ni | ni | ni | ni | inv | true | ni |\n| msk | ni | msk | ni | msk | ni | ni | ni | ni | ni | true | ni |\n| na | ni | na | ni | ni | na | ni | ni | ni | ni | true | ni |\n| nask | unk | nask | ni | ni | ni | nask | unk | ni | ni | true | unk |\n| nav | asku | nav | ni | ni | ni | unk | nav | ni | ni | true | unk |\n| ni | ni | ni | ni | ni | ni | ni | ni | ni | ni | true | ni |\n| oth | ni | oth | inv | ni | ni | ni | ni | ni | oth | true | ni |\n| true | true | true | true | true | true | true | true | true | true | true | true |\n| unk | unk | unk | ni | ni | ni | unk | unk | ni | ni | true | unk |",0]
["| AND | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | false | ni | ni | ni | unk | asku | ni | ni | asku | unk |\n| false | false | false | false | false | false | false | false | false | false | false | false |\n| inv | ni | false | inv | ni | ni | ni | ni | ni | inv | inv | ni |","| msk | ni | false | ni | msk | ni | ni | ni | ni | ni | msk | ni |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| na | ni | false | ni | ni | na | ni | ni | ni | ni | na | ni |\n| nask | unk | false | ni | ni | ni | nask | unk | ni | ni | nask | unk |\n| nav | asku | false | ni | ni | ni | unk | nav | ni | ni | nav | unk |\n| ni | ni | false | ni | ni | ni | ni | ni | ni | ni | ni | ni |\n| oth | ni | false | inv | ni | ni | ni | ni | ni | oth | oth | ni |\n| true | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| unk | unk | false | ni | ni | ni | unk | unk | ni | ni | unk | unk |",1]
["| AND | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | false | ni | ni | ni | unk | asku | ni | ni | asku | unk |\n| false | false | false | false | false | false | false | false | false | false | false | false |\n| inv | ni | false | inv | ni | ni | ni | ni | ni | inv | inv | ni |","| nask | unk | nask | ni | ni | ni | nask | unk | ni | ni | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nav | asku | nav | ni | ni | ni | unk | nav | ni | ni | true | unk |\n| ni | ni | ni | ni | ni | ni | ni | ni | ni | ni | true | ni |\n| oth | ni | oth | inv | ni | ni | ni | ni | ni | oth | true | ni |\n| true | true | true | true | true | true | true | true | true | true | true | true |\n| unk | unk | unk | ni | ni | ni | unk | unk | ni | ni | true | unk |",0]
["| N | Range | AverageExpSup |\n| --- | --- | --- |\n| 1 | [0.0,0.2) | 1,558.9 |\n| 2 | [0.2,0.4) | 1,355.3 |","| 3 | [0.4,0.6) | 1,017.1 |\n| --- | --- | --- |\n| 4 | [0.6,0.8) | 649.9 |\n| 5 | [0.8,1.0) | 353.3 |\n| 6 | [1.0,1.2) | 155.9 |\n| 7 | [1.2,1.4) | 52.8 |\n| 8 | [1.4,1.6) | 16.6 |\n| 9 | [1.6,1.8) | 8.3 |\n| 10 | [1.8,2.0) | 5.7 |",1]
["| N | Range | AverageExpSup |\n| --- | --- | --- |\n| 1 | [0.0,0.2) | 1,558.9 |\n| 2 | [0.2,0.4) | 1,355.3 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| N | Range | AverageExpSup |\n| --- | --- | --- |\n| 1 | [0.0,0.2) | 1,558.9 |\n| 2 | [0.2,0.4) | 1,355.3 |","| 3 | [0.4,0.6) | 1,017.1 |\n| --- | --- | --- |\n| 4 | [0.6,0.8) | 649.9 |\n| 5 | [0.8,1.0) | 353.3 |\n| 6 | [1.0,1.2) | 155.9 |\n| 7 | [1.2,1.4) | 52.8 |\n| 8 | [1.4,1.6) | 16.6 |\n| 9 | [1.6,1.8) | 8.3 |\n| 10 | [1.8,2.0) | 5.7 |",1]
["| N | Range | AverageExpSup |\n| --- | --- | --- |\n| 1 | [0.0,0.2) | 1,558.9 |\n| 2 | [0.2,0.4) | 1,355.3 |","| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Class | WMaxSatz | MiniMaxSat | IncWMaxSatz | Clone | SAT4J | MSUncore |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 99 | 110 | 0 | 110 | 100 | 0 |","| FIR | 52 | 45 | 33 | 54 | 49 | 14 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SYN | 52 | 45 | 55 | 61 | 53 | 40 |\n| Total(Outof243 | 203 | 200 | 88 | 225 | 202 | 54 |",1]
["| Class | WMaxSatz | MiniMaxSat | IncWMaxSatz | Clone | SAT4J | MSUncore |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 99 | 110 | 0 | 110 | 100 | 0 |","| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 17 | 0 | 0 | 0 | 60 | 110 |\n| FIR | 20 | 11 | 14 | 22 | 7 | 39 |\n| SYN | 51 | 19 | 30 | 30 | 22 | 33 |\n| Total(Outof243) | 88 | 30 | 44 | 52 | 89 | 172 |",0]
["| Class | WMaxSatz | MiniMaxSat | IncWMaxSatz | Clone | SAT4J | MSUncore |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 99 | 110 | 0 | 110 | 100 | 0 |\n| FIR | 52 | 45 | 33 | 54 | 49 | 14 |","| SYN | 52 | 45 | 55 | 61 | 53 | 40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total(Outof243 | 203 | 200 | 88 | 225 | 202 | 54 |",1]
["| Class | WMaxSatz | MiniMaxSat | IncWMaxSatz | Clone | SAT4J | MSUncore |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 99 | 110 | 0 | 110 | 100 | 0 |\n| FIR | 52 | 45 | 33 | 54 | 49 | 14 |","| SYN | 51 | 19 | 30 | 30 | 22 | 33 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total(Outof243) | 88 | 30 | 44 | 52 | 89 | 172 |",0]
["| XXXOBSOLETE! |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Executiontimeandspeedup<br>p1828.0730.13(27.48)16.93(48.91)8.94(92.63)15.95(51.92) |  |  |  |  |  |\n| p29 | 1144.36 | 39.17(29.22) | 20.55(55.69) | 8.00(143.05) | 13.92(82.20) |\n| 6<br>Nodesexpanded×10<br>164cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 | 120 | 175 | 188 | 360 | 1,151 |\n| p29 | 160 | 218 | 225 | 307 | 960 |\n| 6<br>Nodesgenerated×10<br>p13825596031,1613,704 |  |  |  |  |  |\n| p29 | 513 | 706 | 728 | 999 | 3,122 |\n| Loadbalancewrtnodeexpansion<br>64cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 |  | 1.19 | 1.33 | 1.32 | 1.34 |\n| p29 |  | 1.21 | 1.32 | 1.33 | 1.31 |","| Nodeexpansionpersecondpercore<br>64cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| p1 |  | 90959.02 | 87087.08 | 78633.16 | 70473.91 |\n| p29 |  | 87238.84 | 85637.71 | 75113.93 | 67385.12 |",1]
["| XXXOBSOLETE! |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Executiontimeandspeedup<br>p1828.0730.13(27.48)16.93(48.91)8.94(92.63)15.95(51.92) |  |  |  |  |  |\n| p29 | 1144.36 | 39.17(29.22) | 20.55(55.69) | 8.00(143.05) | 13.92(82.20) |\n| 6<br>Nodesexpanded×10<br>164cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 | 120 | 175 | 188 | 360 | 1,151 |\n| p29 | 160 | 218 | 225 | 307 | 960 |\n| 6<br>Nodesgenerated×10<br>p13825596031,1613,704 |  |  |  |  |  |\n| p29 | 513 | 706 | 728 | 999 | 3,122 |\n| Loadbalancewrtnodeexpansion<br>64cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 |  | 1.19 | 1.33 | 1.32 | 1.34 |\n| p29 |  | 1.21 | 1.32 | 1.33 | 1.31 |","| Num.of<br>processes | Checkpoint<br>time(s) | Restart<br>time(s) | Totalckpt<br>size(TB) | Write(ckpt)<br>bandwidth(GB/s) |\n| --- | --- | --- | --- | --- |\n| 8192 | 136.1 | 215.3 | 9.4 | 69 |\n| 16368 | 367.4 | 706.6 | 19 | 52 |\n| 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |\n| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 |",0]
["| XXXOBSOLETE! |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Executiontimeandspeedup<br>p1828.0730.13(27.48)16.93(48.91)8.94(92.63)15.95(51.92) |  |  |  |  |  |\n| p29 | 1144.36 | 39.17(29.22) | 20.55(55.69) | 8.00(143.05) | 13.92(82.20) |\n| 6<br>Nodesexpanded×10<br>164cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 | 120 | 175 | 188 | 360 | 1,151 |","| p29 | 160 | 218 | 225 | 307 | 960 |\n| --- | --- | --- | --- | --- | --- |\n| 6<br>Nodesgenerated×10<br>p13825596031,1613,704 |  |  |  |  |  |\n| p29 | 513 | 706 | 728 | 999 | 3,122 |\n| Loadbalancewrtnodeexpansion<br>64cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 |  | 1.19 | 1.33 | 1.32 | 1.34 |\n| p29 |  | 1.21 | 1.32 | 1.33 | 1.31 |\n| Nodeexpansionpersecondpercore<br>64cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 |  | 90959.02 | 87087.08 | 78633.16 | 70473.91 |\n| p29 |  | 87238.84 | 85637.71 | 75113.93 | 67385.12 |",1]
["| XXXOBSOLETE! |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Executiontimeandspeedup<br>p1828.0730.13(27.48)16.93(48.91)8.94(92.63)15.95(51.92) |  |  |  |  |  |\n| p29 | 1144.36 | 39.17(29.22) | 20.55(55.69) | 8.00(143.05) | 13.92(82.20) |\n| 6<br>Nodesexpanded×10<br>164cores128cores512cores1024cores<br>4nodes8nodes32nodes64nodes |  |  |  |  |  |\n| p1 | 120 | 175 | 188 | 360 | 1,151 |","| 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |\n| --- | --- | --- | --- | --- |\n| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| PASCAL-S |\n| --- |\n| 0.666 |\n| 0.752 |\n| 0.740 |\n| 0.764 |\n| 0.793 |","| 0.815 |\n| --- |\n| 0.822 |\n| 0.835 |\n| 0.859 |\n| 0.861 |\n| 0.864 |",1]
["| PASCAL-S |\n| --- |\n| 0.666 |\n| 0.752 |\n| 0.740 |\n| 0.764 |\n| 0.793 |","| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |\n| 0.4592 | 0.2090 | 0.3236 |\n| 0.5393 | 0.2397 | 0.3751 |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["| PASCAL-S |\n| --- |\n| 0.666 |","| 0.752 |\n| --- |\n| 0.740 |\n| 0.764 |\n| 0.793 |\n| 0.815 |\n| 0.822 |\n| 0.835 |\n| 0.859 |\n| 0.861 |\n| 0.864 |",1]
["| PASCAL-S |\n| --- |\n| 0.666 |","| 0.4592 | 0.2090 | 0.3236 |\n| --- | --- | --- |\n| 0.5393 | 0.2397 | 0.3751 |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["| Property | Deﬁnition |\n| --- | --- |\n| Reﬂexivity | ∀ar(a,a) |\n| Irreﬂexivity | ∀a¬r(a,a) |\n| Symmetry | ∀a∀br(a,b)⇒r(b,a) |","| Antisymmetry | ∀a∀br(a,b)∧r(b,a)⇒a=b |\n| --- | --- |\n| Transitivity | ∀a∀b∀cr(a,b)∧r(b,c)⇒r(a,c) |",1]
["| Property | Deﬁnition |\n| --- | --- |\n| Reﬂexivity | ∀ar(a,a) |\n| Irreﬂexivity | ∀a¬r(a,a) |\n| Symmetry | ∀a∀br(a,b)⇒r(b,a) |","| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbchusbandab |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbcwifeba |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcsisterab |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcbrotherba |\n| ∀∀∀(,)∧(,)⇒(,)abcfatherabfatherbcgrandfatherac |\n| ∀∀∀(,)∧(,)⇒(,)abcsonabsonbcgrandsonac |\n| ∀∀∀(,)∧(,)⇒(,)abcmotherabmotherbcgrandmotherac |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughterabdaughterbcgranddaughterac |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcuncleda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcauntda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |\n| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae |",0]
["| Property | Deﬁnition |\n| --- | --- |\n| Reﬂexivity | ∀ar(a,a) |\n| Irreﬂexivity | ∀a¬r(a,a) |","| Symmetry | ∀a∀br(a,b)⇒r(b,a) |\n| --- | --- |\n| Antisymmetry | ∀a∀br(a,b)∧r(b,a)⇒a=b |\n| Transitivity | ∀a∀b∀cr(a,b)∧r(b,c)⇒r(a,c) |",1]
["| Property | Deﬁnition |\n| --- | --- |\n| Reﬂexivity | ∀ar(a,a) |\n| Irreﬂexivity | ∀a¬r(a,a) |","| ∀∀∀(,)∧(,)⇒(,)abcmotherabmotherbcgrandmotherac |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughterabdaughterbcgranddaughterac |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcuncleda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcauntda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |\n| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae |",0]
["|  | Eng |  |\n| --- | --- | --- |\n| L-BFGS | MIRA | AP |","| UASRACM | UASRACM | UASRACM |  |\n| --- | --- | --- | --- |\n| Sib<br>Gch<br>GSib | 92.495.446.4<br>92.294.944.6<br>93.096.148.8 | 92.595.145.7<br>92.394.744.0<br>93.095.848.3 | 91.994.844.1<br>91.694.541.6<br>92.495.546.6 |\n| Sib<br>Gch<br>GSib | Chn |  |  |\n| L-BFGS | MIRA | AP |  |\n| UASRACM<br>86.378.535.0<br>85.578.033.3<br>87.280.037.0 | UASRACM<br>86.177.834.1<br>85.477.631.7<br>87.079.535.8 | UASRACM<br>84.074.231.1<br>83.974.929.6<br>85.177.132.0 |  |\n| Sib<br>Gch<br>GSib | Cze |  |  |\n| L-BFGS | MIRA | AP |  |\n| UASRACM<br>85.690.836.3<br>86.091.836.5<br>87.593.239.3 | UASRACM<br>85.590.535.1<br>85.891.435.6<br>87.392.938.4 | UASRACM<br>84.689.534.0<br>85.090.234.6<br>86.492.136.9 |  |",1]
["|  | Eng |  |\n| --- | --- | --- |\n| L-BFGS | MIRA | AP |","| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |\n| RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 |\n| WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |\n|  | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 |  |",0]
["|  | Eng |  |\n| --- | --- | --- |\n| L-BFGS | MIRA | AP |","| UASRACM | UASRACM | UASRACM |  |\n| --- | --- | --- | --- |\n| Sib<br>Gch<br>GSib | 92.495.446.4<br>92.294.944.6<br>93.096.148.8 | 92.595.145.7<br>92.394.744.0<br>93.095.848.3 | 91.994.844.1<br>91.694.541.6<br>92.495.546.6 |\n| Sib<br>Gch<br>GSib | Chn |  |  |\n| L-BFGS | MIRA | AP |  |\n| UASRACM<br>86.378.535.0<br>85.578.033.3<br>87.280.037.0 | UASRACM<br>86.177.834.1<br>85.477.631.7<br>87.079.535.8 | UASRACM<br>84.074.231.1<br>83.974.929.6<br>85.177.132.0 |  |\n| Sib<br>Gch<br>GSib | Cze |  |  |\n| L-BFGS | MIRA | AP |  |\n| UASRACM<br>85.690.836.3<br>86.091.836.5<br>87.593.239.3 | UASRACM<br>85.590.535.1<br>85.891.435.6<br>87.392.938.4 | UASRACM<br>84.689.534.0<br>85.090.234.6<br>86.492.136.9 |  |",1]
["|  | Eng |  |\n| --- | --- | --- |\n| L-BFGS | MIRA | AP |","| WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 |  |",0]
["| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |","| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| --- | --- | --- | --- | --- | --- |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",1]
["| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |","| ULvs.GN | ULvs.FT |\n| --- | --- |\n| PrecRecF1 | PrecRecF1 |\n| 0.6940.6940.694<br>0.6770.6760.676<br>0.7350.7350.735<br>0.7650.7620.763 | 0.7870.7680.777<br>0.6660.6660.666<br>0.8650.8630.864<br>0.8690.8680.868 |\n| 0.8340.8330.833 | 0.8970.8970.897 |\n| 0.5000.5000.500 | 0.5000.5000.500 |",0]
["| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |","| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| --- | --- | --- | --- | --- | --- |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",1]
["| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |","| 0.6940.6940.694<br>0.6770.6760.676<br>0.7350.7350.735<br>0.7650.7620.763 | 0.7870.7680.777<br>0.6660.6660.666<br>0.8650.8630.864<br>0.8690.8680.868 |\n| --- | --- |\n| 0.8340.8330.833 | 0.8970.8970.897 |\n| 0.5000.5000.500 | 0.5000.5000.500 |",0]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3574 | 134.612236 |\n| image1 | 32.01 | 1.7841.90 |\n| image2 | 350.72 | 13.88285.48 |","| image3 | 4000 | 214.641898.21 |\n| --- | --- | --- |\n| image4 | sameasimage3 | 148.95533.52 |",1]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3574 | 134.612236 |\n| image1 | 32.01 | 1.7841.90 |\n| image2 | 350.72 | 13.88285.48 |","| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3152 | 2.423.56 |\n| image1 | 27.93 | 0.110.17 |\n| image2 | 307.44 | 0.390.73 |\n| image3 | 3534 | 2.664.14 |\n| image4 | sameasimage3 | 1.812.22 |",0]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3574 | 134.612236 |\n| image1 | 32.01 | 1.7841.90 |","| image2 | 350.72 | 13.88285.48 |\n| --- | --- | --- |\n| image3 | 4000 | 214.641898.21 |\n| image4 | sameasimage3 | 148.95533.52 |",1]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3574 | 134.612236 |\n| image1 | 32.01 | 1.7841.90 |","| image3 | 3534 | 2.664.14 |\n| --- | --- | --- |\n| image4 | sameasimage3 | 1.812.22 |",0]
["| Dataset | Electro. | Clothe. |\n| --- | --- | --- |\n| BPR | 0.7982 | 0.7061 |\n| Bi-LSTM | 0.8757 | 0.7869 |\n| Bi-LSTM+Attention | 0.8769 | 0.7835 |","| CNN+MaxPooling | 0.8804 | 0.7786 |\n| --- | --- | --- |\n| ATRank | 0.8921 | 0.7905 |",1]
["| Dataset | Electro. | Clothe. |\n| --- | --- | --- |\n| BPR | 0.7982 | 0.7061 |\n| Bi-LSTM | 0.8757 | 0.7869 |\n| Bi-LSTM+Attention | 0.8769 | 0.7835 |","| PredictTarget | Item | Query | Coupon |\n| --- | --- | --- | --- |\n| Bi-LSTM | 0.6779 | 0.6019 | 0.8500 |\n| Bi-LSTM+Attention | 0.6754 | 0.5999 | 0.8413 |\n| CNN+MaxPooling | 0.6762 | 0.6100 | 0.8611 |\n| ATRank-one2one | 0.6785 | 0.6132 | 0.8601 |\n| ATRank-all2one | 0.6825 | 0.6297 | 0.8725 |\n| ATRank-all2all | 0.6759 | 0.6199 | 0.8587 |",0]
["| Dataset | Electro. | Clothe. |\n| --- | --- | --- |\n| BPR | 0.7982 | 0.7061 |\n| Bi-LSTM | 0.8757 | 0.7869 |","| Bi-LSTM+Attention | 0.8769 | 0.7835 |\n| --- | --- | --- |\n| CNN+MaxPooling | 0.8804 | 0.7786 |\n| ATRank | 0.8921 | 0.7905 |",1]
["| Dataset | Electro. | Clothe. |\n| --- | --- | --- |\n| BPR | 0.7982 | 0.7061 |\n| Bi-LSTM | 0.8757 | 0.7869 |","| Bi-LSTM+Attention | 0.6754 | 0.5999 | 0.8413 |\n| --- | --- | --- | --- |\n| CNN+MaxPooling | 0.6762 | 0.6100 | 0.8611 |\n| ATRank-one2one | 0.6785 | 0.6132 | 0.8601 |\n| ATRank-all2one | 0.6825 | 0.6297 | 0.8725 |\n| ATRank-all2all | 0.6759 | 0.6199 | 0.8587 |",0]
["| systemparameters |  |  |  |\n| --- | --- | --- | --- |\n| churnrate(α) | failurefraction(∆) | minimumsystemsize(N)min | joinbound(γ) |","| 0 | 0.33 | N/A | N/A |\n| --- | --- | --- | --- |\n| 0.01 | 0.26 | 7 | 0.67 |\n| 0.04 | 0.06 | 9 | 0.72 |",1]
["| systemparameters |  |  |  |\n| --- | --- | --- | --- |\n| churnrate(α) | failurefraction(∆) | minimumsystemsize(N)min | joinbound(γ) |","| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| systemparameters |  |  |  |\n| --- | --- | --- | --- |\n| churnrate(α) | failurefraction(∆) | minimumsystemsize(N)min | joinbound(γ) |","| 0 | 0.33 | N/A | N/A |\n| --- | --- | --- | --- |\n| 0.01 | 0.26 | 7 | 0.67 |\n| 0.04 | 0.06 | 9 | 0.72 |",1]
["| systemparameters |  |  |  |\n| --- | --- | --- | --- |\n| churnrate(α) | failurefraction(∆) | minimumsystemsize(N)min | joinbound(γ) |","| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| #Params | RVD |\n| --- | --- |\n| @1 | @10 |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",1]
["| #Params | RVD |\n| --- | --- |\n| @1 | @10 |","| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |","| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| --- | --- | --- |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",1]
["| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |","| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| --- | --- | --- |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| Sizeofreducedsubkey-space |\n| --- |\n| - |","| 2−5592406≈2 |\n| --- |\n| 136/2=2 |\n| <(255−128−1)=126 |",1]
["| Sizeofreducedsubkey-space |\n| --- |\n| - |","| NumberOfKeysOnTheSortedArray | 327kilo |\n| --- | --- |\n| SearchKeySize | 4bytes |\n| IndexTreeSize | 3.2MB |\n| SubtreeSize(excepttherootsubtree)(inB,C) | 320KB |\n| RootSubtreeSize(inB,C) | 44bytes |\n| T(inA,B) | 7 |\n| L(inC-1,C-2) | 6 |\n| SizeofNode(inA,B,andC-1) | 32bytes |\n| SizeofRootNode(inC-2) | 32bytes |\n| SizeofLeafNode(inC-2) | 8KB |",0]
["| Sizeofreducedsubkey-space |\n| --- |\n| - |\n| 2−5592406≈2 |","| 136/2=2 |\n| --- |\n| <(255−128−1)=126 |",1]
["| Sizeofreducedsubkey-space |\n| --- |\n| - |\n| 2−5592406≈2 |","| SubtreeSize(excepttherootsubtree)(inB,C) | 320KB |\n| --- | --- |\n| RootSubtreeSize(inB,C) | 44bytes |\n| T(inA,B) | 7 |\n| L(inC-1,C-2) | 6 |\n| SizeofNode(inA,B,andC-1) | 32bytes |\n| SizeofRootNode(inC-2) | 32bytes |\n| SizeofLeafNode(inC-2) | 8KB |",0]
["| Parameter | Val. | Parameter |\n| --- | --- | --- |\n| COLDN:Numberoftransactions(coldrun) | 0 | HOTN:Numberoftransactions(warmrun) |","| PSET:Set-orientedaccessoccurrenceprobability | 0.25 | SETDEPTH:Set-orientedaccessdepth |\n| --- | --- | --- |\n| PSIMPLE:Simpletraversaloccurrenceprobability | 0.25 | SIMDEPTH:Simpletraversalaccessdepth |\n| PHIER:Hierarchytraversaloccurrenceprobability | 0.25 | HIEDEPTH:Hierarchytraversalaccessdepth |\n| PSTOCH:Stochastictraversaloccurrenceprobability | 0.25 | STODEPTH:Stochastictraversalaccessdepth |",1]
["| Parameter | Val. | Parameter |\n| --- | --- | --- |\n| COLDN:Numberoftransactions(coldrun) | 0 | HOTN:Numberoftransactions(warmrun) |","| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |\n| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| Parameter | Val. | Parameter |\n| --- | --- | --- |\n| COLDN:Numberoftransactions(coldrun) | 0 | HOTN:Numberoftransactions(warmrun) |\n| PSET:Set-orientedaccessoccurrenceprobability | 0.25 | SETDEPTH:Set-orientedaccessdepth |","| PSIMPLE:Simpletraversaloccurrenceprobability | 0.25 | SIMDEPTH:Simpletraversalaccessdepth |\n| --- | --- | --- |\n| PHIER:Hierarchytraversaloccurrenceprobability | 0.25 | HIEDEPTH:Hierarchytraversalaccessdepth |\n| PSTOCH:Stochastictraversaloccurrenceprobability | 0.25 | STODEPTH:Stochastictraversalaccessdepth |",1]
["| Parameter | Val. | Parameter |\n| --- | --- | --- |\n| COLDN:Numberoftransactions(coldrun) | 0 | HOTN:Numberoftransactions(warmrun) |\n| PSET:Set-orientedaccessoccurrenceprobability | 0.25 | SETDEPTH:Set-orientedaccessdepth |","| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| --- | --- | --- | --- |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |\n| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| 16,384 |\n| --- |\n| 65,536 |","| 16,384 |\n| --- |\n| 65,536 |\n| 65,536 |\n| 65,536 |\n| 128 |\n| 128 |",1]
["| 16,384 |\n| --- |\n| 65,536 |","| 12626 | 84 |\n| --- | --- |\n| 8799 | 122 |\n| 12488 | 87 |\n| 8799 | 94 |\n| 12488 | 150 |\n| 12625 | 44 |\n| 12626 | 110 |",0]
["| 16,384 |\n| --- |\n| 65,536 |\n| 16,384 |\n| 65,536 |","| 65,536 |\n| --- |\n| 65,536 |\n| 128 |\n| 128 |",1]
["| 16,384 |\n| --- |\n| 65,536 |\n| 16,384 |\n| 65,536 |","| 8799 | 94 |\n| --- | --- |\n| 12488 | 150 |\n| 12625 | 44 |\n| 12626 | 110 |",0]
["| Parameter | Valuerange | Bits |\n| --- | --- | --- |\n| Null-moveuse | 0–1 | 1 |\n| Null-movereduction | 0–7 | 3 |\n| Null-moveuseadaptivity | 0–1 | 1 |\n| Null-moveadaptivitydepth | 0–7 | 3 |\n| Futilitydepth | 0–3 | 2 |\n| Futilitythresholddepth-1 | 0–1023 | 10 |\n| Futilitythresholddepth-2 | 0–1023 | 10 |\n| Futilitythresholddepth-3 | 0–1023 | 10 |","| Multi-cutuse | 0–1 | 1 |\n| --- | --- | --- |\n| Multi-cutreduction | 0–7 | 3 |\n| Multi-cutdepth | 0–7 | 3 |\n| Multi-cutmovenum | 0–31 | 5 |\n| Multi-cutcutnum | 0–7 | 3 |\n| Checkextension | 0–4 | 3 |\n| One-replyextension | 0–4 | 3 |\n| Recaptureextension | 0–4 | 3 |\n| Passedpawnextension | 0–4 | 3 |\n| Matethreatextension | 0–4 | 3 |\n| Totalchromosomelength |  | 70 |",1]
["| Parameter | Valuerange | Bits |\n| --- | --- | --- |\n| Null-moveuse | 0–1 | 1 |\n| Null-movereduction | 0–7 | 3 |\n| Null-moveuseadaptivity | 0–1 | 1 |\n| Null-moveadaptivitydepth | 0–7 | 3 |\n| Futilitydepth | 0–3 | 2 |\n| Futilitythresholddepth-1 | 0–1023 | 10 |\n| Futilitythresholddepth-2 | 0–1023 | 10 |\n| Futilitythresholddepth-3 | 0–1023 | 10 |","| Field | Length(bits) |\n| --- | --- |\n| Messagetype | 6 |\n| Priority | 3 |\n| Checksumﬂag | 1 |\n| Open-loopsafestate | 8 |\n| Sourceentitynumber | 5 |\n| Sourceunitnumber | 5 |\n| Sourceautomatonnumber | 5 |\n| Destinationentitynumber | 5 |\n| Destinationunitnumber | 5 |\n| Destinationautomatonnumber | 5 |\n| Application-speciﬁcdatalength | 16 |",0]
["| Parameter | Valuerange | Bits |\n| --- | --- | --- |\n| Null-moveuse | 0–1 | 1 |\n| Null-movereduction | 0–7 | 3 |\n| Null-moveuseadaptivity | 0–1 | 1 |\n| Null-moveadaptivitydepth | 0–7 | 3 |","| Futilitydepth | 0–3 | 2 |\n| --- | --- | --- |\n| Futilitythresholddepth-1 | 0–1023 | 10 |\n| Futilitythresholddepth-2 | 0–1023 | 10 |\n| Futilitythresholddepth-3 | 0–1023 | 10 |\n| Multi-cutuse | 0–1 | 1 |\n| Multi-cutreduction | 0–7 | 3 |\n| Multi-cutdepth | 0–7 | 3 |\n| Multi-cutmovenum | 0–31 | 5 |\n| Multi-cutcutnum | 0–7 | 3 |\n| Checkextension | 0–4 | 3 |\n| One-replyextension | 0–4 | 3 |\n| Recaptureextension | 0–4 | 3 |\n| Passedpawnextension | 0–4 | 3 |\n| Matethreatextension | 0–4 | 3 |\n| Totalchromosomelength |  | 70 |",1]
["| Parameter | Valuerange | Bits |\n| --- | --- | --- |\n| Null-moveuse | 0–1 | 1 |\n| Null-movereduction | 0–7 | 3 |\n| Null-moveuseadaptivity | 0–1 | 1 |\n| Null-moveadaptivitydepth | 0–7 | 3 |","| Sourceautomatonnumber | 5 |\n| --- | --- |\n| Destinationentitynumber | 5 |\n| Destinationunitnumber | 5 |\n| Destinationautomatonnumber | 5 |\n| Application-speciﬁcdatalength | 16 |",0]
["| Application | Size | Framespersecondusing |  |\n| --- | --- | --- | --- |\n| 100Mbitnetwork | 1Gbitnetwork |  |  |\n| mousebrain | 16MB | 0.46 | 0.87 |","| ﬂuidﬂow | 40MB | 0.20 | 0.53 |\n| --- | --- | --- | --- |\n| beetlehead | 80MB | 0.09 | 0.25 |",1]
["| Application | Size | Framespersecondusing |  |\n| --- | --- | --- | --- |\n| 100Mbitnetwork | 1Gbitnetwork |  |  |\n| mousebrain | 16MB | 0.46 | 0.87 |","| Device | GTX560Ti | GTX780 | GTX980 |\n| --- | --- | --- | --- |\n| W(byte/cycle)bank | 2 | 8 | 4 |\n| f(GHz)core | 0.950 | 1.006 | 1.279 |\n| W(GB/s)SM | 60.80 | 257.54 | 163.84 |\n| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 |",0]
["| Application | Size | Framespersecondusing |\n| --- | --- | --- |\n| 100Mbitnetwork | 1Gbitnetwork |  |","| mousebrain | 16MB | 0.46 | 0.87 |\n| --- | --- | --- | --- |\n| ﬂuidﬂow | 40MB | 0.20 | 0.53 |\n| beetlehead | 80MB | 0.09 | 0.25 |",1]
["| Application | Size | Framespersecondusing |\n| --- | --- | --- |\n| 100Mbitnetwork | 1Gbitnetwork |  |","| f(GHz)core | 0.950 | 1.006 | 1.279 |\n| --- | --- | --- | --- |\n| W(GB/s)SM | 60.80 | 257.54 | 163.84 |\n| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 |",0]
["| Largedomains | Containcategories |\n| --- | --- |\n| Books | Hardcover<br>Paperback<br>KindleEdition |","| Health/Beauty | HealthandBeauty<br>HealthandPersonalCare |\n| --- | --- |\n| Electronics | Electronics<br>PersonalComputers<br>CellPhones |\n| Movies | MoviesandTV<br>DVD |",1]
["| Largedomains | Containcategories |\n| --- | --- |\n| Books | Hardcover<br>Paperback<br>KindleEdition |","| Cr | craigslist.org |\n| --- | --- |\n| Ye | yelp.com |\n| Am | amazon.com |\n| Sp | spiegel.de |\n| Wi | wikipedia.org |\n| Yo | youtube.com |\n| Cn | cnn.com |\n| Gu | guardian.co.uk |\n| Hu | humanevents.com |\n| Bb | bbc.co.uk |",0]
["| Largedomains | Containcategories |\n| --- | --- |\n| Books | Hardcover<br>Paperback<br>KindleEdition |","| Health/Beauty | HealthandBeauty<br>HealthandPersonalCare |\n| --- | --- |\n| Electronics | Electronics<br>PersonalComputers<br>CellPhones |\n| Movies | MoviesandTV<br>DVD |",1]
["| Largedomains | Containcategories |\n| --- | --- |\n| Books | Hardcover<br>Paperback<br>KindleEdition |","| Yo | youtube.com |\n| --- | --- |\n| Cn | cnn.com |\n| Gu | guardian.co.uk |\n| Hu | humanevents.com |\n| Bb | bbc.co.uk |",0]
["| SVHN→MNIST |\n| --- |\n| Input:32×32RGBimage |","| Generator |\n| --- |\n| Conv5×5×64,stride1,pad0<br>Conv5×5×64,stride1,pad0<br>Conv3×3×128,stride2,pad0<br>Conv3×3×128,stride2,pad0<br>Fullyconnected3200×100<br>Fullyconnected100×100 |\n| Classiﬁer |\n| Fullyconnected100×6 |",1]
["| SVHN→MNIST |\n| --- |\n| Input:32×32RGBimage |","| Layer | MNIST(forFigure??) | MNIST | CIFAR10/CIFAR10+ | CIFAR100 |\n| --- | --- | --- | --- | --- |\n| Conv0.x | [3×3,64]×1 | [3×3,64]×1 | [3×3,64]×1 | [3×3,96]×1 |\n| Conv1.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,64]×4 | [3×3,96]×4 |\n| Pool1 | 2×2Max,Stride2 |  |  |  |\n| Dropout1 | dropoutratiop |  |  |  |\n| Conv2.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,96]×4 | [3×3,192]×4 |\n| Pool2 | 2×2Max,Stride2 |  |  |  |\n| Dropout2 | dropoutratiop |  |  |  |\n| Conv3.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,128]×4 | [3×3,384]×4 |\n| Pool3 | 2×2Max,Stride2 |  |  |  |\n| FC | 2 | 256 | 256 | 512 |",0]
["| SVHN→MNIST |\n| --- |\n| Input:32×32RGBimage |","| Generator |\n| --- |\n| Conv5×5×64,stride1,pad0<br>Conv5×5×64,stride1,pad0<br>Conv3×3×128,stride2,pad0<br>Conv3×3×128,stride2,pad0<br>Fullyconnected3200×100<br>Fullyconnected100×100 |\n| Classiﬁer |\n| Fullyconnected100×6 |",1]
["| SVHN→MNIST |\n| --- |\n| Input:32×32RGBimage |","| Dropout2 | dropoutratiop |  |  |  |\n| --- | --- | --- | --- | --- |\n| Conv3.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,128]×4 | [3×3,384]×4 |\n| Pool3 | 2×2Max,Stride2 |  |  |  |\n| FC | 2 | 256 | 256 | 512 |",0]
["| Class | mEAS | CorLoc | Class | mEAS | CorLoc |\n| --- | --- | --- | --- | --- | --- |\n| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |\n| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |\n| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |\n| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |\n| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |\n| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |\n| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |","| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |\n| --- | --- | --- | --- | --- | --- |\n| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",1]
["| Class | mEAS | CorLoc | Class | mEAS | CorLoc |\n| --- | --- | --- | --- | --- | --- |\n| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |\n| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |\n| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |\n| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |\n| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |\n| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |\n| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |","| Locations | W | C | TL | TR | BL | BR |\n| --- | --- | --- | --- | --- | --- | --- |\n| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |\n| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |\n| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |\n| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",0]
["| Class | mEAS | CorLoc | Class | mEAS | CorLoc |\n| --- | --- | --- | --- | --- | --- |\n| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |\n| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |\n| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |\n| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |","| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |\n| --- | --- | --- | --- | --- | --- |\n| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |\n| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |\n| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |\n| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",1]
["| Class | mEAS | CorLoc | Class | mEAS | CorLoc |\n| --- | --- | --- | --- | --- | --- |\n| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |\n| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |\n| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |\n| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |","| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |\n| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",0]
["| LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. |  |\n|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |","| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |\n|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",1]
["| LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. |  |\n|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. |","|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |\n|  | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |\n|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",1]
["| LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. |","| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["|  | Passmark | TDP(W) |\n| --- | --- | --- |\n| IntelCoreI74770R | 10381 | 65 |","| IntelCoreI74960HQ | 10310 | 47 |\n| --- | --- | --- |\n| IntelCoreI74600U | 4498 | 15 |\n| IntelXeonE52697v2 | 19125 | 130 |\n| IntelXeonE31230Lv3 | 7344 | 25 |",1]
["|  | Passmark | TDP(W) |\n| --- | --- | --- |\n| IntelCoreI74770R | 10381 | 65 |","| Parameter | Value |\n| --- | --- |\n| CPU | IntelXeonX5570 |\n| GPU | NVIDIATeslaC2050/C2070 |\n| OperatingSystem | CentOSX8664 |\n| CUDAToolkit | 5.1 |\n| GCC | 4.4 |\n| CPUcodescompilation | -O3option |\n| ﬂoatpointnumberprecision | double |",0]
["|  | Passmark | TDP(W) |\n| --- | --- | --- |\n| IntelCoreI74770R | 10381 | 65 |\n| IntelCoreI74960HQ | 10310 | 47 |","| IntelCoreI74600U | 4498 | 15 |\n| --- | --- | --- |\n| IntelXeonE52697v2 | 19125 | 130 |\n| IntelXeonE31230Lv3 | 7344 | 25 |",1]
["|  | Passmark | TDP(W) |\n| --- | --- | --- |\n| IntelCoreI74770R | 10381 | 65 |\n| IntelCoreI74960HQ | 10310 | 47 |","| OperatingSystem | CentOSX8664 |\n| --- | --- |\n| CUDAToolkit | 5.1 |\n| GCC | 4.4 |\n| CPUcodescompilation | -O3option |\n| ﬂoatpointnumberprecision | double |",0]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| Pokec | directed | 1.6M | 30.6M |","| LiveJournal | undirected | 4.8M | 69M |\n| --- | --- | --- | --- |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |",1]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| Pokec | directed | 1.6M | 30.6M |","| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |","| Orkut | undirected | 3.1M | 117M |\n| --- | --- | --- | --- |\n| Twitter-2010 | directed | 42M | 1.5B |",1]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |","| Orkut | undirected | 3.1M | 117M |\n| --- | --- | --- | --- |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["| SmallFlopHold’emFlopBuckets: | 200 | 2,000 | 30,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 88.69 | 37.374 | 9.128 |\n| Unsafe | 14.68 | 3.958 | 0.5514 |\n| Resolve | 60.16 | 17.79 | 5.407 |\n| Maxmargin | 30.05 | 13.99 | 4.343 |\n| Reach-Maxmargin | 29.88 | 13.90 | 4.147 |","| Reach-Maxmargin(notsplit) | 24.87 | 9.807 | 2.588 |\n| --- | --- | --- | --- |\n| Estimate | 11.66 | 6.261 | 2.423 |\n| Estimate+Distributional | 10.44 | 6.245 | 3.430 |\n| Reach-Estimate+Distributional | 10.21 | 5.798 | 2.258 |\n| Reach-Estimate+Distributional(notsplit) | 9.560 | 4.924 | 1.733 |",1]
["| SmallFlopHold’emFlopBuckets: | 200 | 2,000 | 30,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 88.69 | 37.374 | 9.128 |\n| Unsafe | 14.68 | 3.958 | 0.5514 |\n| Resolve | 60.16 | 17.79 | 5.407 |\n| Maxmargin | 30.05 | 13.99 | 4.343 |\n| Reach-Maxmargin | 29.88 | 13.90 | 4.147 |","| TurnHold’emTurnBuckets: | 200 | 2,000 | 20,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 684.6 | 465.1 | 345.5 |\n| Unsafe | 130.4 | 85.95 | 79.34 |\n| Resolve | 454.9 | 321.5 | 251.8 |\n| Maxmargin | 427.6 | 299.6 | 234.4 |\n| Reach-Maxmargin | 424.4 | 298.3 | 233.5 |\n| Reach-Maxmargin(notsplit) | 333.4 | 229.4 | 175.5 |\n| Estimate | 120.6 | 89.43 | 76.44 |\n| Estimate+Distributional | 119.4 | 87.83 | 74.35 |\n| Reach-Estimate+Distributional | 116.8 | 85.80 | 72.59 |\n| Reach-Estimate+Distributional(notsplit) | 113.3 | 83.24 | 70.68 |",0]
["| SmallFlopHold’emFlopBuckets: | 200 | 2,000 | 30,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 88.69 | 37.374 | 9.128 |\n| Unsafe | 14.68 | 3.958 | 0.5514 |\n| Resolve | 60.16 | 17.79 | 5.407 |\n| Maxmargin | 30.05 | 13.99 | 4.343 |","| Reach-Maxmargin | 29.88 | 13.90 | 4.147 |\n| --- | --- | --- | --- |\n| Reach-Maxmargin(notsplit) | 24.87 | 9.807 | 2.588 |\n| Estimate | 11.66 | 6.261 | 2.423 |\n| Estimate+Distributional | 10.44 | 6.245 | 3.430 |\n| Reach-Estimate+Distributional | 10.21 | 5.798 | 2.258 |\n| Reach-Estimate+Distributional(notsplit) | 9.560 | 4.924 | 1.733 |",1]
["| SmallFlopHold’emFlopBuckets: | 200 | 2,000 | 30,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 88.69 | 37.374 | 9.128 |\n| Unsafe | 14.68 | 3.958 | 0.5514 |\n| Resolve | 60.16 | 17.79 | 5.407 |\n| Maxmargin | 30.05 | 13.99 | 4.343 |","| Reach-Maxmargin | 424.4 | 298.3 | 233.5 |\n| --- | --- | --- | --- |\n| Reach-Maxmargin(notsplit) | 333.4 | 229.4 | 175.5 |\n| Estimate | 120.6 | 89.43 | 76.44 |\n| Estimate+Distributional | 119.4 | 87.83 | 74.35 |\n| Reach-Estimate+Distributional | 116.8 | 85.80 | 72.59 |\n| Reach-Estimate+Distributional(notsplit) | 113.3 | 83.24 | 70.68 |",0]
["| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |","| Diabetes | 768 | 2 | 8 |\n| --- | --- | --- | --- |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",1]
["| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |","| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |\n| splice | 60 | 3,175 | 3 |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |","| Heart | 270 | 2 | 13 |\n| --- | --- | --- | --- |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",1]
["| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |","| lung | 325 | 73 | 7 |\n| --- | --- | --- | --- |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| Relation | DBpediaWikipedia<br>DomainRangeRDF2vec-skip-gramRDF2vec-CBOWSkip-gramCBOW |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| spouse | Person | Person | 0.498 | 0.228 | 0.834 | 0.863 |\n| capital | PopulatedP. | City | 0.592 | 0.211 | 0.532 | 0.389 |\n| starring | Work | Actor | 0.303 | 0.138 | 0.563 | 0.453 |\n| largestCountry | PopulatedP. | PopulatedP. | 0.702 | 0.766 | 0.878 | 0.865 |\n| director | Film | Person | 0.15 | 0.072 | 0.173 | 0.056 |\n| child | Person | Person | 0.461 | 0.173 | 0.857 | 0.869 |","| writer | Work | Person | 0.193 | 0.022 | 0.276 | 0.086 |\n| --- | --- | --- | --- | --- | --- | --- |\n| school | Person | Institution | 0.279 | 0.262 | 0.455 | 0.521 |\n| translator | Work | Person | 0.24 | 0.179 | 0.254 | 0.095 |\n| producer | Work | Agent | 0.234 | 0.006 | 0.229 | 0.131 |\n| operator | Infrastructure | Organisation | 0.177 | 0.148 | 0.336 | 0.332 |\n| officialLanguage | PopulatedP. | Language | 0.121 | -0.041 | 0.691 | 0.606 |",1]
["| Relation | DBpediaWikipedia<br>DomainRangeRDF2vec-skip-gramRDF2vec-CBOWSkip-gramCBOW |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| spouse | Person | Person | 0.498 | 0.228 | 0.834 | 0.863 |\n| capital | PopulatedP. | City | 0.592 | 0.211 | 0.532 | 0.389 |\n| starring | Work | Actor | 0.303 | 0.138 | 0.563 | 0.453 |\n| largestCountry | PopulatedP. | PopulatedP. | 0.702 | 0.766 | 0.878 | 0.865 |\n| director | Film | Person | 0.15 | 0.072 | 0.173 | 0.056 |\n| child | Person | Person | 0.461 | 0.173 | 0.857 | 0.869 |","| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["| Relation | DBpediaWikipedia<br>DomainRangeRDF2vec-skip-gramRDF2vec-CBOWSkip-gramCBOW |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| spouse | Person | Person | 0.498 | 0.228 | 0.834 | 0.863 |\n| capital | PopulatedP. | City | 0.592 | 0.211 | 0.532 | 0.389 |\n| starring | Work | Actor | 0.303 | 0.138 | 0.563 | 0.453 |\n| largestCountry | PopulatedP. | PopulatedP. | 0.702 | 0.766 | 0.878 | 0.865 |\n| director | Film | Person | 0.15 | 0.072 | 0.173 | 0.056 |","| child | Person | Person | 0.461 | 0.173 | 0.857 | 0.869 |\n| --- | --- | --- | --- | --- | --- | --- |\n| writer | Work | Person | 0.193 | 0.022 | 0.276 | 0.086 |\n| school | Person | Institution | 0.279 | 0.262 | 0.455 | 0.521 |\n| translator | Work | Person | 0.24 | 0.179 | 0.254 | 0.095 |\n| producer | Work | Agent | 0.234 | 0.006 | 0.229 | 0.131 |\n| operator | Infrastructure | Organisation | 0.177 | 0.148 | 0.336 | 0.332 |\n| officialLanguage | PopulatedP. | Language | 0.121 | -0.041 | 0.691 | 0.606 |",1]
["| Relation | DBpediaWikipedia<br>DomainRangeRDF2vec-skip-gramRDF2vec-CBOWSkip-gramCBOW |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| spouse | Person | Person | 0.498 | 0.228 | 0.834 | 0.863 |\n| capital | PopulatedP. | City | 0.592 | 0.211 | 0.532 | 0.389 |\n| starring | Work | Actor | 0.303 | 0.138 | 0.563 | 0.453 |\n| largestCountry | PopulatedP. | PopulatedP. | 0.702 | 0.766 | 0.878 | 0.865 |\n| director | Film | Person | 0.15 | 0.072 | 0.173 | 0.056 |","| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |",0]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |","| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| --- | --- | --- | --- | --- |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",1]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |","| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.135<br>16.3971<br>8.31851<br>42.6324 | 55.6074<br>138.267<br>53.8514<br>146.168<br>131.177<br>113.686<br>18.9477<br>16.94<br>63.1591 |\n| 50 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 19.5708<br>33.6343<br>13.6876<br>49.5795<br>43.4625<br>42.632<br>4.3519<br>3.28906<br>24.0764 | 44.693<br>78.046<br>33.736<br>106.716<br>106.716<br>96.8349<br>16.6003<br>8.31333<br>54.4696 | 70.6633<br>193.67<br>60.8033<br>275.215<br>290.505<br>249.004<br>19.439<br>16.7599<br>87.1514 |\n| 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 |\n| 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 |\n| 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |",0]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |\n| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |","| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| --- | --- | --- | --- | --- |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",1]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |\n| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |","| 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 |\n| --- | --- | --- | --- | --- |\n| 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 |\n| 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |",0]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99460.49370.91100.6305 |\n| Feed-ForwardNN | 0.93470.80370.95800.8589 |\n| Conv1D | 0.77080.46730.88580.5377 |","| LSTMRNN | 0.62040.38290.88050.4348 |\n| --- | --- |\n| GRURNN | 0.83510.64740.91680.7181 |",1]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99460.49370.91100.6305 |\n| Feed-ForwardNN | 0.93470.80370.95800.8589 |\n| Conv1D | 0.77080.46730.88580.5377 |","|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99890.69880.95010.8086 |\n| Feed-ForwardNN | 0.77680.50410.88790.5763 |\n| Conv1D | 0.83120.67130.91650.7371 |\n| LSTMRNN | 0.81060.69710.91540.7445 |\n| GRURNN | 0.79360.69710.91260.7397 |",0]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99460.49370.91100.6305 |\n| Feed-ForwardNN | 0.93470.80370.95800.8589 |","| Conv1D | 0.77080.46730.88580.5377 |\n| --- | --- |\n| LSTMRNN | 0.62040.38290.88050.4348 |\n| GRURNN | 0.83510.64740.91680.7181 |",1]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99460.49370.91100.6305 |\n| Feed-ForwardNN | 0.93470.80370.95800.8589 |","| LSTMRNN | 0.81060.69710.91540.7445 |\n| --- | --- |\n| GRURNN | 0.79360.69710.91260.7397 |",0]
["| Rulecode | Ruledesignation | Methodofobject |\n| --- | --- | --- |\n| R1 | Generatetransaction | Transaction |\n| R2.1 | Extractobject | Transaction |\n| R2.2.1 | Accesspagenumber | Object |","| R2.2.2 | Accesspage | Page |\n| --- | --- | --- |\n| R2.3 | Performoperation | Attribute |\n| R3 | Performclustering | Database |",1]
["| Rulecode | Ruledesignation | Methodofobject |\n| --- | --- | --- |\n| R1 | Generatetransaction | Transaction |\n| R2.1 | Extractobject | Transaction |\n| R2.2.1 | Accesspagenumber | Object |","| ID | System-call | Group |\n| --- | --- | --- |\n| 0 | NtOpenSection | Memory |\n| 1 | ACCESSMASK | ACCESSMASK |\n| 2 | POBJECTATTRIBUTES | Object |\n| 3 | NtQueryAttributesFile | File |\n| 4 | NtRaiseHardError | Process |\n| 5 | NTSTATUS | NTSTATUS |\n| 6 | ULONG | ULONG |\n| 7 | PULONGPTR | Process |\n| 8 | HARDERRORRESPONSEOPTION | Process |",0]
["| Rulecode | Ruledesignation | Methodofobject |\n| --- | --- | --- |\n| R1 | Generatetransaction | Transaction |","| R2.1 | Extractobject | Transaction |\n| --- | --- | --- |\n| R2.2.1 | Accesspagenumber | Object |\n| R2.2.2 | Accesspage | Page |\n| R2.3 | Performoperation | Attribute |\n| R3 | Performclustering | Database |",1]
["| Rulecode | Ruledesignation | Methodofobject |\n| --- | --- | --- |\n| R1 | Generatetransaction | Transaction |","| 1 | ACCESSMASK | ACCESSMASK |\n| --- | --- | --- |\n| 2 | POBJECTATTRIBUTES | Object |\n| 3 | NtQueryAttributesFile | File |\n| 4 | NtRaiseHardError | Process |\n| 5 | NTSTATUS | NTSTATUS |\n| 6 | ULONG | ULONG |\n| 7 | PULONGPTR | Process |\n| 8 | HARDERRORRESPONSEOPTION | Process |",0]
["| index | 1 | 2 | 3 | ··· | n | ··· | p |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q2 | q12 | q22 | q32 | ··· | qn2 | ··· | qp2 |\n| Q3 | q13 | q23 | q33 | ··· | qn3 | ··· | qp3 |\n| ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· |","| Qj | q1j | q2j | q3j | ··· | qnj | ··· | qpj |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· |\n| QL | q1L | q2L | q3L | ··· | qnL | ··· | qpL |",1]
["| index | 1 | 2 | 3 | ··· | n | ··· | p |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q2 | q12 | q22 | q32 | ··· | qn2 | ··· | qp2 |\n| Q3 | q13 | q23 | q33 | ··· | qn3 | ··· | qp3 |\n| ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· |","| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| index | 1 | 2 | 3 | ··· | n | ··· | p |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q2 | q12 | q22 | q32 | ··· | qn2 | ··· | qp2 |\n| Q3 | q13 | q23 | q33 | ··· | qn3 | ··· | qp3 |","| ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Qj | q1j | q2j | q3j | ··· | qnj | ··· | qpj |\n| ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· |\n| QL | q1L | q2L | q3L | ··· | qnL | ··· | qpL |",1]
["| index | 1 | 2 | 3 | ··· | n | ··· | p |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q2 | q12 | q22 | q32 | ··· | qn2 | ··· | qp2 |\n| Q3 | q13 | q23 | q33 | ··· | qn3 | ··· | qp3 |","| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| Split | Pair | IAPR-TC12 | Multi30K |  |  |\n| --- | --- | --- | --- | --- | --- |\n| img | En | De | img | En | De |","| Train | img-En<br>img-De | 9,000<br>9,000 | 9,000<br>- | -<br>9,000 | 14,500<br>14,500 | 72,500<br>- | -<br>72,500 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Validation | img-En<br>img-De | 500<br>500 | 500<br>- | -<br>500 | 507<br>507 | 2,535<br>- | -<br>2,535 |\n| Test | En-De | - | 1,000 | 1,000 | - | 5,000 | 5,000 |",1]
["| Split | Pair | IAPR-TC12 | Multi30K |  |  |\n| --- | --- | --- | --- | --- | --- |\n| img | En | De | img | En | De |","| Phase | Train | Validation | Test |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |\n| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |\n| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",0]
["| Split | Pair | IAPR-TC12 | Multi30K |  |  |\n| --- | --- | --- | --- | --- | --- |\n| img | En | De | img | En | De |","| Train | img-En<br>img-De | 9,000<br>9,000 | 9,000<br>- | -<br>9,000 | 14,500<br>14,500 | 72,500<br>- | -<br>72,500 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Validation | img-En<br>img-De | 500<br>500 | 500<br>- | -<br>500 | 507<br>507 | 2,535<br>- | -<br>2,535 |\n| Test | En-De | - | 1,000 | 1,000 | - | 5,000 | 5,000 |",1]
["| Split | Pair | IAPR-TC12 | Multi30K |  |  |\n| --- | --- | --- | --- | --- | --- |\n| img | En | De | img | En | De |","| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",0]
["| bandid | documentid | value |\n| --- | --- | --- |\n| 1 | 1 | 1 |\n| 1 | 2 | 2 |\n| 1 | 3 | 3 |\n| 1 | 4 | 4 |\n| 2 | 1 | 5 |\n| 2 | 2 | 6 |\n| 2 | 3 | 7 |","| 2 | 4 | 8 |\n| --- | --- | --- |\n| 3 | 1 | 9 |\n| 3 | 2 | 10 |\n| 3 | 3 | 11 |\n| 3 | 4 | 12 |\n| 4 | 1 | 13 |\n| 4 | 2 | 14 |\n| 4 | 3 | 15 |\n| 4 | 4 | 16 |",1]
["| bandid | documentid | value |\n| --- | --- | --- |\n| 1 | 1 | 1 |\n| 1 | 2 | 2 |\n| 1 | 3 | 3 |\n| 1 | 4 | 4 |\n| 2 | 1 | 5 |\n| 2 | 2 | 6 |\n| 2 | 3 | 7 |","| ExamID |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total |  |\n| Numberofanswersheets | 40 | 99 | 103 | 60 | 62 | 371 | 735 |\n| Pagesperanswersheet | 3 | 1 | 1 | 1 | 1 | 1 |  |\n| Numberofconﬁrmedanswers | 519 | 979 | 1,041 | 599 | 551 | 7,291 | 10,980 |\n| Numberofcrossedoutanswers | 16 | 24 | 17 | 11 | 42 | 92 | 202 |\n| Numberofemptyanswers | 1,034 | 1,967 | 2,032 | 1,190 | 1,267 | 14,877 | 22,367 |\n| Totalnumberofpages | 120 | 99 | 103 | 60 | 62 | 371 | 815 |",0]
["| bandid | documentid | value |\n| --- | --- | --- |\n| 1 | 1 | 1 |\n| 1 | 2 | 2 |\n| 1 | 3 | 3 |\n| 1 | 4 | 4 |\n| 2 | 1 | 5 |\n| 2 | 2 | 6 |","| 2 | 3 | 7 |\n| --- | --- | --- |\n| 2 | 4 | 8 |\n| 3 | 1 | 9 |\n| 3 | 2 | 10 |\n| 3 | 3 | 11 |\n| 3 | 4 | 12 |\n| 4 | 1 | 13 |\n| 4 | 2 | 14 |\n| 4 | 3 | 15 |\n| 4 | 4 | 16 |",1]
["| bandid | documentid | value |\n| --- | --- | --- |\n| 1 | 1 | 1 |\n| 1 | 2 | 2 |\n| 1 | 3 | 3 |\n| 1 | 4 | 4 |\n| 2 | 1 | 5 |\n| 2 | 2 | 6 |","| Numberofconﬁrmedanswers | 519 | 979 | 1,041 | 599 | 551 | 7,291 | 10,980 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberofcrossedoutanswers | 16 | 24 | 17 | 11 | 42 | 92 | 202 |\n| Numberofemptyanswers | 1,034 | 1,967 | 2,032 | 1,190 | 1,267 | 14,877 | 22,367 |\n| Totalnumberofpages | 120 | 99 | 103 | 60 | 62 | 371 | 815 |",0]
["| Board | Holes/<br>Corners | Type | shortestsolutioninmovesto<br>thecentralgameanySVSSproblem |  |\n| --- | --- | --- | --- | --- |\n| Diamond(3) | 13/4 | cornerconstrained | 7† | 7† |\n| Diamond(4) | 25/4 | edgeconstrained | 10† | 8† |","| Standard33-hole | 33/8 | cornerconstrained | 15 | 13 |\n| --- | --- | --- | --- | --- |\n| 37-hole | 37/8 | cornerconstrained | 13† | 12† |\n| Diamond(5) | 41/4 | edgeconstrained | 11 | 11 |",1]
["| Board | Holes/<br>Corners | Type | shortestsolutioninmovesto<br>thecentralgameanySVSSproblem |  |\n| --- | --- | --- | --- | --- |\n| Diamond(3) | 13/4 | cornerconstrained | 7† | 7† |\n| Diamond(4) | 25/4 | edgeconstrained | 10† | 8† |","|  | Aspectratio | Convexity | HScircularity | Solidity |\n| --- | --- | --- | --- | --- |\n| Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 |\n| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |\n| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |\n| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |",0]
["| Board | Holes/<br>Corners | Type | shortestsolutioninmovesto<br>thecentralgameanySVSSproblem |  |\n| --- | --- | --- | --- | --- |\n| Diamond(3) | 13/4 | cornerconstrained | 7† | 7† |\n| Diamond(4) | 25/4 | edgeconstrained | 10† | 8† |\n| Standard33-hole | 33/8 | cornerconstrained | 15 | 13 |","| 37-hole | 37/8 | cornerconstrained | 13† | 12† |\n| --- | --- | --- | --- | --- |\n| Diamond(5) | 41/4 | edgeconstrained | 11 | 11 |",1]
["| Board | Holes/<br>Corners | Type | shortestsolutioninmovesto<br>thecentralgameanySVSSproblem |  |\n| --- | --- | --- | --- | --- |\n| Diamond(3) | 13/4 | cornerconstrained | 7† | 7† |\n| Diamond(4) | 25/4 | edgeconstrained | 10† | 8† |\n| Standard33-hole | 33/8 | cornerconstrained | 15 | 13 |","| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |\n| --- | --- | --- | --- | --- |\n| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |\n| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |",0]
["| Rank | Term | TC | Term | DF |\n| --- | --- | --- | --- | --- |\n| 1 | the | 116448129 | the | 2662742 |\n| 2 | of | 59869301 | and | 2635683 |\n| 3 | and | 58521777 | to | 2620998 |\n| 4 | to | 53923142 | of | 2613789 |\n| 5 | a | 40940103 | a | 2582936 |\n| 6 | in | 36463498 | in | 2533431 |\n| 7 | is | 22389310 | for | 2427073 |\n| 8 | for | 21754176 | is | 2321630 |\n| 9 | that | 16665399 | on | 2261602 |\n| 10 | on | 15636014 | with | 2221913 |\n| 11 | with | 13985141 | are | 1996578 |\n| 12 | it | 13518855 | this | 1981575 |\n| 13 | be | 13007008 | from | 1964174 |","| 14 | as | 11943257 | be | 1951862 |\n| --- | --- | --- | --- | --- |\n| 15 | are | 11571176 | by | 1947784 |\n| 16 | you | 11298405 | as | 1947590 |\n| 17 | this | 11218852 | that | 1943238 |\n| 18 | by | 10639772 | at | 1927033 |\n| 19 | at | 9907466 | it | 1857296 |\n| 20 | i | 9855628 | an | 1788905 |",1]
["| Rank | Term | TC | Term | DF |\n| --- | --- | --- | --- | --- |\n| 1 | the | 116448129 | the | 2662742 |\n| 2 | of | 59869301 | and | 2635683 |\n| 3 | and | 58521777 | to | 2620998 |\n| 4 | to | 53923142 | of | 2613789 |\n| 5 | a | 40940103 | a | 2582936 |\n| 6 | in | 36463498 | in | 2533431 |\n| 7 | is | 22389310 | for | 2427073 |\n| 8 | for | 21754176 | is | 2321630 |\n| 9 | that | 16665399 | on | 2261602 |\n| 10 | on | 15636014 | with | 2221913 |\n| 11 | with | 13985141 | are | 1996578 |\n| 12 | it | 13518855 | this | 1981575 |\n| 13 | be | 13007008 | from | 1964174 |","| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |\n| in | 2106 | 11109 | 0.48 | 0.28 |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |\n| this | 713 | 5176 | 0.33 | 0.39 |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| Rank | Term | TC | Term | DF |\n| --- | --- | --- | --- | --- |\n| 1 | the | 116448129 | the | 2662742 |\n| 2 | of | 59869301 | and | 2635683 |\n| 3 | and | 58521777 | to | 2620998 |\n| 4 | to | 53923142 | of | 2613789 |\n| 5 | a | 40940103 | a | 2582936 |\n| 6 | in | 36463498 | in | 2533431 |\n| 7 | is | 22389310 | for | 2427073 |","| 8 | for | 21754176 | is | 2321630 |\n| --- | --- | --- | --- | --- |\n| 9 | that | 16665399 | on | 2261602 |\n| 10 | on | 15636014 | with | 2221913 |\n| 11 | with | 13985141 | are | 1996578 |\n| 12 | it | 13518855 | this | 1981575 |\n| 13 | be | 13007008 | from | 1964174 |\n| 14 | as | 11943257 | be | 1951862 |\n| 15 | are | 11571176 | by | 1947784 |\n| 16 | you | 11298405 | as | 1947590 |\n| 17 | this | 11218852 | that | 1943238 |\n| 18 | by | 10639772 | at | 1927033 |\n| 19 | at | 9907466 | it | 1857296 |\n| 20 | i | 9855628 | an | 1788905 |",1]
["| Rank | Term | TC | Term | DF |\n| --- | --- | --- | --- | --- |\n| 1 | the | 116448129 | the | 2662742 |\n| 2 | of | 59869301 | and | 2635683 |\n| 3 | and | 58521777 | to | 2620998 |\n| 4 | to | 53923142 | of | 2613789 |\n| 5 | a | 40940103 | a | 2582936 |\n| 6 | in | 36463498 | in | 2533431 |\n| 7 | is | 22389310 | for | 2427073 |","| is | 1212 | 8572 | 0.33 | 0.32 |\n| --- | --- | --- | --- | --- |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |\n| this | 713 | 5176 | 0.33 | 0.39 |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| 2.80 |\n| --- |\n| 10 |","| 25600 |\n| --- |\n| 132127868 |\n| ethernet/inﬁniband |",1]
["| 2.80 |\n| --- |\n| 10 |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |\n| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| 2.80 |\n| --- |\n| 10 |\n| 25600 |","| 132127868 |\n| --- |\n| ethernet/inﬁniband |",1]
["| 2.80 |\n| --- |\n| 10 |\n| 25600 |","| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| vdegrees1 | #instances | #clauses(avg.) | #vars(avg.) | unsat(avg).) | unsat(total) |\n| --- | --- | --- | --- | --- | --- |\n| (16,8,5) | 54(2*3*9) | 32432 | 5279 | 51sec. | 0.77hrs. |\n| (16,7,6) | 270(2*9*15) | 32460 | 5233 | 420sec. | 31.50hrs. |\n| (15,8,6) | 90(2*3*15) | 33607 | 5450 | 93sec. | 2.32hrs. |","| (15,7,7) | 162(2*9*9) | 33340 | 5326 | 1554sec. | 69.94hrs. |\n| --- | --- | --- | --- | --- | --- |\n| (14,8,7) | 3105(115*3*9) | 34069 | 5324 | 294sec. | 253.40hrs. |",1]
["| vdegrees1 | #instances | #clauses(avg.) | #vars(avg.) | unsat(avg).) | unsat(total) |\n| --- | --- | --- | --- | --- | --- |\n| (16,8,5) | 54(2*3*9) | 32432 | 5279 | 51sec. | 0.77hrs. |\n| (16,7,6) | 270(2*9*15) | 32460 | 5233 | 420sec. | 31.50hrs. |\n| (15,8,6) | 90(2*3*15) | 33607 | 5450 | 93sec. | 2.32hrs. |","| Graph | \\|C\\| | Time | TS | TR |\n| --- | --- | --- | --- | --- |\n| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |\n| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |\n| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |\n| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |\n| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |\n| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |\n| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |\n| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |\n| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |\n| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 |\n| phat700-1.clq | 16,384 | 1.7min | 1,342 | 32,883 |\n| phat1000-2.clq | 64 | 23.6min | 3,664 | 3,799 |\n| phat1000-2.clq | 128 | 12.5min | 2,651 | 2,912 |\n| phat1000-2.clq | 256 | 6.5min | 1,623 | 1,956 |\n| phat1000-2.clq | 512 | 3.7min | 1,235 | 1,872 |\n| phat1000-2.clq | 1,024 | 2.1min | 866 | 2,142 |\n| phat1000-2.clq | 2,048 | 1.2min | 610 | 3,120 |\n| frb30-15-1.mis | 1,024 | 14.2hrs | 13,580 | 15,968 |\n| frb30-15-1.mis | 2,048 | 7.2hrs | 21,899 | 26,597 |\n| frb30-15-1.mis | 4,096 | 3.6hrs | 28,740 | 37,733 |\n| frb30-15-1.mis | 8,192 | 1.9hrs | 29,110 | 45,685 |\n| frb30-15-1.mis | 16,384 | 55.1min | 28,707 | 59,978 |\n| frb30-15-1.mis | 32,768 | 28.8min | 30,008 | 96,438 |\n| frb30-15-1.mis | 65,536 | 16.8min | 25,359 | 158,371 |\n| frb30-15-1.mis | 131,072 | 11.1min | 19,419 | 312,430 |\n| 60-cell | 128 | 14.3hrs | 19 | 26 |\n| 60-cell | 256 | 7.3hrs | 23 | 23 |\n| 60-cell | 512 | 3.7hrs | 1,091 | 1,388 |\n| 60-cell | 1,024 | 45.1min | 1,397 | 1,940 |\n| 60-cell | 2,048 | 11.3min | 1,331 | 2,430 |\n| 60-cell | 4,096 | 2.8min | 949 | 3,094 |",0]
["| vdegrees1 | #instances | #clauses(avg.) | #vars(avg.) | unsat(avg).) | unsat(total) |\n| --- | --- | --- | --- | --- | --- |\n| (16,8,5) | 54(2*3*9) | 32432 | 5279 | 51sec. | 0.77hrs. |\n| (16,7,6) | 270(2*9*15) | 32460 | 5233 | 420sec. | 31.50hrs. |\n| (15,8,6) | 90(2*3*15) | 33607 | 5450 | 93sec. | 2.32hrs. |","| (15,7,7) | 162(2*9*9) | 33340 | 5326 | 1554sec. | 69.94hrs. |\n| --- | --- | --- | --- | --- | --- |\n| (14,8,7) | 3105(115*3*9) | 34069 | 5324 | 294sec. | 253.40hrs. |",1]
["| vdegrees1 | #instances | #clauses(avg.) | #vars(avg.) | unsat(avg).) | unsat(total) |\n| --- | --- | --- | --- | --- | --- |\n| (16,8,5) | 54(2*3*9) | 32432 | 5279 | 51sec. | 0.77hrs. |\n| (16,7,6) | 270(2*9*15) | 32460 | 5233 | 420sec. | 31.50hrs. |\n| (15,8,6) | 90(2*3*15) | 33607 | 5450 | 93sec. | 2.32hrs. |","| frb30-15-1.mis | 32,768 | 28.8min | 30,008 | 96,438 |\n| --- | --- | --- | --- | --- |\n| frb30-15-1.mis | 65,536 | 16.8min | 25,359 | 158,371 |\n| frb30-15-1.mis | 131,072 | 11.1min | 19,419 | 312,430 |\n| 60-cell | 128 | 14.3hrs | 19 | 26 |\n| 60-cell | 256 | 7.3hrs | 23 | 23 |\n| 60-cell | 512 | 3.7hrs | 1,091 | 1,388 |\n| 60-cell | 1,024 | 45.1min | 1,397 | 1,940 |\n| 60-cell | 2,048 | 11.3min | 1,331 | 2,430 |\n| 60-cell | 4,096 | 2.8min | 949 | 3,094 |",0]
["| Ω | Universeofallvalidentities(unknownsize) |\n| --- | --- |\n| r | Avaliduniqueentityordataitem |\n| D | Groundtruthortheunderlyingpopulation |\n| S | Observedsampleofsizen=\\|S\\|,withduplicates |\n| K | IntegrateddatabasewithonlyuniqueentitiesfromS |\n| U | UnknownunknownsthatexistinD,butnotinSorK |\n| M0 | UnknownunknownsdistributionmassinD |\n| c | ThenumberofuniquedataitemsinS;c=\\|K\\| |\n| sj | Sourcejwithn=\\|s\\|dataitemsjj |\n| N | Thesizeofthegroundtruth;N=\\|D\\| |\n| φ | Theaggregatedqueryresult:e.g.,φ(overD)D |\n| ∆ | Theimpactofunknownunknowns:∆=φ−φDK |\n| fj | Afrequencystatistic,i.e.,thenumberofdataitems<br>withexactlyjoccurrencesinS. |","| F | Thesetoffrequencystatistics,{f,f,...,f}12n |\n| --- | --- |\n| ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |\n| γ | Coeﬃcientofvariance(dataskewmeasure) |\n| C | Samplecoverage,alsoC=1−M0 |",1]
["| Ω | Universeofallvalidentities(unknownsize) |\n| --- | --- |\n| r | Avaliduniqueentityordataitem |\n| D | Groundtruthortheunderlyingpopulation |\n| S | Observedsampleofsizen=\\|S\\|,withduplicates |\n| K | IntegrateddatabasewithonlyuniqueentitiesfromS |\n| U | UnknownunknownsthatexistinD,butnotinSorK |\n| M0 | UnknownunknownsdistributionmassinD |\n| c | ThenumberofuniquedataitemsinS;c=\\|K\\| |\n| sj | Sourcejwithn=\\|s\\|dataitemsjj |\n| N | Thesizeofthegroundtruth;N=\\|D\\| |\n| φ | Theaggregatedqueryresult:e.g.,φ(overD)D |\n| ∆ | Theimpactofunknownunknowns:∆=φ−φDK |\n| fj | Afrequencystatistic,i.e.,thenumberofdataitems<br>withexactlyjoccurrencesinS. |","| Symbol | Deﬁnition |\n| --- | --- |\n| )G=(V,E0G0 | \\|truegraphwithn=\\|V\\|andm=\\|EG0 |\n| G=(V,E,p) | uncertaingraphconstructedfromG0 |\n| G=(V,E)G | samplegraphfromG,G(cid:118)G |\n| d(G),d(G)uu | degreeofnodeuinG,G |\n| ∆(d) | numberofnodeshavingdegreedinG |\n| N(u) | neighborsofnodeuinG |\n| Rσ | truncatednormaldistributionon[0,1] |\n| r←Reσ | asamplefromthedistributionRσ |\n| p(p)iuv | probabilityofedgee(e)iuv |\n| np | numberofpotentialedges,\\|E\\|=m+np |\n| A,A | adjacencymatricesofG,G0 |\n| PRW | randomwalktransitionmatrixofG0 |\n| B | uncertainadjacencymatrix,B=AP |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",0]
["| Ω | Universeofallvalidentities(unknownsize) |\n| --- | --- |\n| r | Avaliduniqueentityordataitem |\n| D | Groundtruthortheunderlyingpopulation |\n| S | Observedsampleofsizen=\\|S\\|,withduplicates |\n| K | IntegrateddatabasewithonlyuniqueentitiesfromS |\n| U | UnknownunknownsthatexistinD,butnotinSorK |\n| M0 | UnknownunknownsdistributionmassinD |\n| c | ThenumberofuniquedataitemsinS;c=\\|K\\| |\n| sj | Sourcejwithn=\\|s\\|dataitemsjj |\n| N | Thesizeofthegroundtruth;N=\\|D\\| |\n| φ | Theaggregatedqueryresult:e.g.,φ(overD)D |\n| ∆ | Theimpactofunknownunknowns:∆=φ−φDK |\n| fj | Afrequencystatistic,i.e.,thenumberofdataitems<br>withexactlyjoccurrencesinS. |","| F | Thesetoffrequencystatistics,{f,f,...,f}12n |\n| --- | --- |\n| ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |\n| γ | Coeﬃcientofvariance(dataskewmeasure) |\n| C | Samplecoverage,alsoC=1−M0 |",1]
["| Ω | Universeofallvalidentities(unknownsize) |\n| --- | --- |\n| r | Avaliduniqueentityordataitem |\n| D | Groundtruthortheunderlyingpopulation |\n| S | Observedsampleofsizen=\\|S\\|,withduplicates |\n| K | IntegrateddatabasewithonlyuniqueentitiesfromS |\n| U | UnknownunknownsthatexistinD,butnotinSorK |\n| M0 | UnknownunknownsdistributionmassinD |\n| c | ThenumberofuniquedataitemsinS;c=\\|K\\| |\n| sj | Sourcejwithn=\\|s\\|dataitemsjj |\n| N | Thesizeofthegroundtruth;N=\\|D\\| |\n| φ | Theaggregatedqueryresult:e.g.,φ(overD)D |\n| ∆ | Theimpactofunknownunknowns:∆=φ−φDK |\n| fj | Afrequencystatistic,i.e.,thenumberofdataitems<br>withexactlyjoccurrencesinS. |","| B | uncertainadjacencymatrix,B=AP |\n| --- | --- |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",0]
["|  | DESLORATADINE | DOXEPIN |\n| --- | --- | --- |\n| Alldrug’scodesinTHINdataset | 6 | 15 |\n| Allprescription | 358,768 | 72448 |","| Allpatients | 81,000 | 6152 |\n| --- | --- | --- |\n| Allprescription(0-17years) | 53,995 | 2014 |\n| Allpatients(0-17years) | 18,293 | 60 |\n| Allpresc.(0-17)after30days | 9949 | 1172 |\n| AllPatients(0-17)after30days | 988 | 42 |",1]
["|  | DESLORATADINE | DOXEPIN |\n| --- | --- | --- |\n| Alldrug’scodesinTHINdataset | 6 | 15 |\n| Allprescription | 358,768 | 72448 |","| SL | AminoAcid | Short | Index |\n| --- | --- | --- | --- |\n| 1 | Glycine | GLY | -0.4 |\n| 2 | Alanine | ALA | 1.8 |\n| 3 | Proline | PRO | 1.6 |\n| 4 | Valine | VAL | 4.2 |\n| 5 | Leucine | LEU | 3.8 |\n| 6 | Isoleucine | ILE | 4.5 |\n| 7 | Methionine | MET | 1.9 |\n| 8 | Phenylalanine | PHE | 2.8 |\n| 9 | Tyrosine | TYR | -1.3 |\n| 10 | Tryptophan | TRP | -0.9 |\n| 11 | Serine | SER | -0.8 |\n| 12 | Threonine | THR | -0.7 |\n| 13 | Cysteine | CYS | 2.5 |\n| 14 | Asparagine | ASN | -3.5 |\n| 15 | Glutamine | GLN | -3.5 |\n| 16 | Lysine | LYS | -3.9 |\n| 17 | Histidine | HIS | -3.2 |\n| 18 | Arginine | ARG | -4.5 |\n| 19 | Aspartate | ASP | -3.5 |\n| 20 | Glutamate | GLU | -3.5 |",0]
["|  | DESLORATADINE | DOXEPIN |\n| --- | --- | --- |\n| Alldrug’scodesinTHINdataset | 6 | 15 |\n| Allprescription | 358,768 | 72448 |\n| Allpatients | 81,000 | 6152 |","| Allprescription(0-17years) | 53,995 | 2014 |\n| --- | --- | --- |\n| Allpatients(0-17years) | 18,293 | 60 |\n| Allpresc.(0-17)after30days | 9949 | 1172 |\n| AllPatients(0-17)after30days | 988 | 42 |",1]
["|  | DESLORATADINE | DOXEPIN |\n| --- | --- | --- |\n| Alldrug’scodesinTHINdataset | 6 | 15 |\n| Allprescription | 358,768 | 72448 |\n| Allpatients | 81,000 | 6152 |","| 15 | Glutamine | GLN | -3.5 |\n| --- | --- | --- | --- |\n| 16 | Lysine | LYS | -3.9 |\n| 17 | Histidine | HIS | -3.2 |\n| 18 | Arginine | ARG | -4.5 |\n| 19 | Aspartate | ASP | -3.5 |\n| 20 | Glutamate | GLU | -3.5 |",0]
["| Intrusion | No.ofMFSs<br>ofEachRun | No.of<br>SharedMFSs |\n| --- | --- | --- |\n| decode | {2,5} | 2 |","| buﬀeroverﬂowintoxlock | {68,68} | 68 |\n| --- | --- | --- |\n| buﬀeroverﬂowintonamed | {59,38} | 33 |\n| sunsendmailcp | {24,24,24} | 24 |\n| forwardloops | {33,11,30,33,4} | 0 |\n| syslog-local | {55,71} | 52 |\n| syslog-remote | {78,42} | 42 |",1]
["| Intrusion | No.ofMFSs<br>ofEachRun | No.of<br>SharedMFSs |\n| --- | --- | --- |\n| decode | {2,5} | 2 |","| Step | Description | Time | Messages |\n| --- | --- | --- | --- |\n| ??,?? | BFSconvergecast | O(D) | O(m) |\n| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |\n| ??,?? | Localcomputation | 0 | none |\n| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |\n| ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |\n| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) |",0]
["| Intrusion | No.ofMFSs<br>ofEachRun | No.of<br>SharedMFSs |\n| --- | --- | --- |\n| decode | {2,5} | 2 |\n| buﬀeroverﬂowintoxlock | {68,68} | 68 |\n| buﬀeroverﬂowintonamed | {59,38} | 33 |","| sunsendmailcp | {24,24,24} | 24 |\n| --- | --- | --- |\n| forwardloops | {33,11,30,33,4} | 0 |\n| syslog-local | {55,71} | 52 |\n| syslog-remote | {78,42} | 42 |",1]
["| Intrusion | No.ofMFSs<br>ofEachRun | No.of<br>SharedMFSs |\n| --- | --- | --- |\n| decode | {2,5} | 2 |\n| buﬀeroverﬂowintoxlock | {68,68} | 68 |\n| buﬀeroverﬂowintonamed | {59,38} | 33 |","| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |\n| --- | --- | --- | --- |\n| ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |\n| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) |",0]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| No | 2.25±0.04 | 6.7→13.3±0.2 | 73±52 | 2.33±0.09 | 6.7→9.5±0.3 | 47±16 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L1 | 1.60±0.05 | 4.7→20.5±2.9 | 23±13 | 1.61±0.06 | 4.7→11.9±3.2 | 37±15 |\n| Drop | 1.58±0.10 | 5.9→20.5±1.1 | 113±21 | 1.55±0.18 | 5.9→20.0±1.5 | 145±46 |",1]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 4.31±0.12 | 9.1→27.1±0.3 | 78±16 | 4.65±0.12 | 9.1→24.1±0.1 | 120±28 |\n| L1 | 2.32±0.33 | 7.1→40.2±3.7 | 77±48 | 2.09±0.28 | 7.1→36.6±1.9 | 108±20 |\n| Drop | 8.21±1.10 | 7.7→38.0±2.6 | 158±46 | 4.29±0.14 | 7.7→46.2±0.2 | 293±4 |",0]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 2.25±0.04 | 6.7→13.3±0.2 | 73±52 | 2.33±0.09 | 6.7→9.5±0.3 | 47±16 |","| L1 | 1.60±0.05 | 4.7→20.5±2.9 | 23±13 | 1.61±0.06 | 4.7→11.9±3.2 | 37±15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Drop | 1.58±0.10 | 5.9→20.5±1.1 | 113±21 | 1.55±0.18 | 5.9→20.0±1.5 | 145±46 |",1]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 2.25±0.04 | 6.7→13.3±0.2 | 73±52 | 2.33±0.09 | 6.7→9.5±0.3 | 47±16 |","| L1 | 2.32±0.33 | 7.1→40.2±3.7 | 77±48 | 2.09±0.28 | 7.1→36.6±1.9 | 108±20 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Drop | 8.21±1.10 | 7.7→38.0±2.6 | 158±46 | 4.29±0.14 | 7.7→46.2±0.2 | 293±4 |",0]
["| Reference | Lexicon | LM | CH | SW |\n| --- | --- | --- | --- | --- |\n| Current | N | N | 26.4 | 17.2 |\n| Current | N | CharNG | 21.8 | 13.8 |\n| (ensemble) | Y | WordNG | 19.3 | 12.6 |","| Current | Y | WordNG | 18.7 | 11.3 |\n| --- | --- | --- | --- | --- |\n| Current | Y | WordRNN | 17.7 | 10.2 |",1]
["| Reference | Lexicon | LM | CH | SW |\n| --- | --- | --- | --- | --- |\n| Current | N | N | 26.4 | 17.2 |\n| Current | N | CharNG | 21.8 | 13.8 |\n| (ensemble) | Y | WordNG | 19.3 | 12.6 |","| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 |  | 25.00 | 24.19 | 25.19 | 24.44 |\n| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",0]
["| Reference | Lexicon | LM | CH | SW |\n| --- | --- | --- | --- | --- |\n| Current | N | N | 26.4 | 17.2 |\n| Current | N | CharNG | 21.8 | 13.8 |","| (ensemble) | Y | WordNG | 19.3 | 12.6 |\n| --- | --- | --- | --- | --- |\n| Current | Y | WordNG | 18.7 | 11.3 |\n| Current | Y | WordRNN | 17.7 | 10.2 |",1]
["| Reference | Lexicon | LM | CH | SW |\n| --- | --- | --- | --- | --- |\n| Current | N | N | 26.4 | 17.2 |\n| Current | N | CharNG | 21.8 | 13.8 |","| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| --- | --- | --- | --- | --- | --- |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",0]
["| Model | Evaluation |  |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |  |\n| SVR-RBF | 6.8 | 3.2 | 0.03 | 0.84 |\n| LASSO@1 | 7.9 | 5.2 | 0.05 | 0.80 |\n| LASSO@0.5 | 7.7 | 4.9 | 0.09 | 0.80 |","| LASSO@0.25 | 7.6 | 4.8 | 0.10 | 0.79 |\n| --- | --- | --- | --- | --- |\n| LASSO@0.125 | 7.5 | 4.7 | 0.11 | 0.79 |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",1]
["| Model | Evaluation |  |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |  |\n| SVR-RBF | 6.8 | 3.2 | 0.03 | 0.84 |\n| LASSO@1 | 7.9 | 5.2 | 0.05 | 0.80 |\n| LASSO@0.5 | 7.7 | 4.9 | 0.09 | 0.80 |","| Model | Evaluation |  |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |  |\n| SVR-RBF | 6.8 | 3.2 | 0.02 | 0.84 |\n| SVR-L | 6.9 | 3.3 | 0.004 | 0.83 |\n| LASSO@0.25 | 7.6 | 4.9 | 0.08 | 0.81 |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",0]
["| Model | Evaluation |  |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |  |\n| SVR-RBF | 6.8 | 3.2 | 0.03 | 0.84 |\n| LASSO@1 | 7.9 | 5.2 | 0.05 | 0.80 |","| LASSO@0.5 | 7.7 | 4.9 | 0.09 | 0.80 |\n| --- | --- | --- | --- | --- |\n| LASSO@0.25 | 7.6 | 4.8 | 0.10 | 0.79 |\n| LASSO@0.125 | 7.5 | 4.7 | 0.11 | 0.79 |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",1]
["| Model | Evaluation |  |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |  |\n| SVR-RBF | 6.8 | 3.2 | 0.03 | 0.84 |\n| LASSO@1 | 7.9 | 5.2 | 0.05 | 0.80 |","| LASSO@0.25 | 7.6 | 4.9 | 0.08 | 0.81 |\n| --- | --- | --- | --- | --- |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",0]
["|  | Willow | PASCAL2010 | PASCAL2012 | Stanford-40 | HAT-27 |\n| --- | --- | --- | --- | --- | --- |\n| VGG-19FC | 87.1 | 72.0 | 74.0 | 70.3 | 61.2 |\n| MOP | 87.6 | 74.8 | 75.3 | 74.2 | 64.1 |","| FV-CNN | 87.9 | 75.4 | 75.6 | 74.6 | 64.5 |\n| --- | --- | --- | --- | --- | --- |\n| FV-CNN-SP | 88.4 | 78.1 | 77.3 | 76.9 | 66.6 |\n| Absolute-ScaleCoding | 89.3 | 79.7 | 78.1 | 77.5 | 67.3 |\n| Relative-ScaleCoding | 89.7 | 79.9 | 78.4 | 77.8 | 67.4 |\n| Absolute+Relative+FC | 92.1 | 82.7 | 80.3 | 80.0 | 70.6 |",1]
["|  | Willow | PASCAL2010 | PASCAL2012 | Stanford-40 | HAT-27 |\n| --- | --- | --- | --- | --- | --- |\n| VGG-19FC | 87.1 | 72.0 | 74.0 | 70.3 | 61.2 |\n| MOP | 87.6 | 74.8 | 75.3 | 74.2 | 64.1 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["|  | Willow | PASCAL2010 | PASCAL2012 | Stanford-40 | HAT-27 |\n| --- | --- | --- | --- | --- | --- |\n| VGG-19FC | 87.1 | 72.0 | 74.0 | 70.3 | 61.2 |\n| MOP | 87.6 | 74.8 | 75.3 | 74.2 | 64.1 |","| FV-CNN | 87.9 | 75.4 | 75.6 | 74.6 | 64.5 |\n| --- | --- | --- | --- | --- | --- |\n| FV-CNN-SP | 88.4 | 78.1 | 77.3 | 76.9 | 66.6 |\n| Absolute-ScaleCoding | 89.3 | 79.7 | 78.1 | 77.5 | 67.3 |\n| Relative-ScaleCoding | 89.7 | 79.9 | 78.4 | 77.8 | 67.4 |\n| Absolute+Relative+FC | 92.1 | 82.7 | 80.3 | 80.0 | 70.6 |",1]
["|  | Willow | PASCAL2010 | PASCAL2012 | Stanford-40 | HAT-27 |\n| --- | --- | --- | --- | --- | --- |\n| VGG-19FC | 87.1 | 72.0 | 74.0 | 70.3 | 61.2 |\n| MOP | 87.6 | 74.8 | 75.3 | 74.2 | 64.1 |","| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| DataSet | \\|D\\| | \\|Q\\| | Vm | Em | d | Scale-free |\n| --- | --- | --- | --- | --- | --- | --- |\n| AIDS | 1896 | 100 | 95 | 103 | 2.1 | Yes |\n| Finger | 2159 | 114 | 26 | 26 | 1.7 | Yes |\n| GREC | 1045 | 55 | 24 | 29 | 2.1 | Yes |\n| AASD | 37995 | 100 | 93 | 99 | 2.1 | Yes |","| Syn-1 | 3430 | 70 | 100K | 1M | 9.6 | Yes |\n| --- | --- | --- | --- | --- | --- | --- |\n| Syn-2 | 3430 | 70 | 100K | 1M | 9.4 | No |",1]
["| DataSet | \\|D\\| | \\|Q\\| | Vm | Em | d | Scale-free |\n| --- | --- | --- | --- | --- | --- | --- |\n| AIDS | 1896 | 100 | 95 | 103 | 2.1 | Yes |\n| Finger | 2159 | 114 | 26 | 26 | 1.7 | Yes |\n| GREC | 1045 | 55 | 24 | 29 | 2.1 | Yes |\n| AASD | 37995 | 100 | 93 | 99 | 2.1 | Yes |","| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| DataSet | \\|D\\| | \\|Q\\| | Vm | Em | d | Scale-free |\n| --- | --- | --- | --- | --- | --- | --- |\n| AIDS | 1896 | 100 | 95 | 103 | 2.1 | Yes |\n| Finger | 2159 | 114 | 26 | 26 | 1.7 | Yes |","| GREC | 1045 | 55 | 24 | 29 | 2.1 | Yes |\n| --- | --- | --- | --- | --- | --- | --- |\n| AASD | 37995 | 100 | 93 | 99 | 2.1 | Yes |\n| Syn-1 | 3430 | 70 | 100K | 1M | 9.6 | Yes |\n| Syn-2 | 3430 | 70 | 100K | 1M | 9.4 | No |",1]
["| DataSet | \\|D\\| | \\|Q\\| | Vm | Em | d | Scale-free |\n| --- | --- | --- | --- | --- | --- | --- |\n| AIDS | 1896 | 100 | 95 | 103 | 2.1 | Yes |\n| Finger | 2159 | 114 | 26 | 26 | 1.7 | Yes |","| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 100 | 20 | 1.004 | 1.0047 | 1.0001 |\n| 160 | 20 | 1.5116 | 1.0612 | 1.0009 |\n| 160 | 40 | 1.065 | 1.0063 | 1.0 |\n| 208 | 52 | 2.2537 | 1.074 | 1.019 |\n| 240 | 60 | 1.0083 | 1.0045 | 1.0001 |\n| 300 | 75 | 1.8088 | 1.0478 | 1.0006 |\n| 312 | 52 | 1.7593 | 1.0475 | 1.0008 |","| 320 | 32 | 1.0972 | 1.0015 | 1.0 |\n| --- | --- | --- | --- | --- |\n| 400 | 100 | 1.0058 | 1.0048 | 1.0 |\n| 416 | 52 | 1.0031 | 1.0048 | 1.0 |",1]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 100 | 20 | 1.004 | 1.0047 | 1.0001 |\n| 160 | 20 | 1.5116 | 1.0612 | 1.0009 |\n| 160 | 40 | 1.065 | 1.0063 | 1.0 |\n| 208 | 52 | 2.2537 | 1.074 | 1.019 |\n| 240 | 60 | 1.0083 | 1.0045 | 1.0001 |\n| 300 | 75 | 1.8088 | 1.0478 | 1.0006 |\n| 312 | 52 | 1.7593 | 1.0475 | 1.0008 |","| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 50 | 16 | 1.0642 | 1.0156 | 1.0 |\n| 50 | 16 | 1.127 | 1.0363 | 1.0 |\n| 50 | 16 | 1.1968 | 1.0258 | 1.0 |\n| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |\n| 50 | 25 | 1.1167 | 1.006 | 1.0028 |\n| 50 | 25 | 1.2206 | 1.0393 | 1.0 |\n| 50 | 25 | 1.3246 | 1.0277 | 1.0 |\n| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |\n| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |\n| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |\n| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |\n| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |\n| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |\n| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |\n| 1000 | 100 | 1.0055 | 1.0101 | 1.0 |",0]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 100 | 20 | 1.004 | 1.0047 | 1.0001 |","| 160 | 20 | 1.5116 | 1.0612 | 1.0009 |\n| --- | --- | --- | --- | --- |\n| 160 | 40 | 1.065 | 1.0063 | 1.0 |\n| 208 | 52 | 2.2537 | 1.074 | 1.019 |\n| 240 | 60 | 1.0083 | 1.0045 | 1.0001 |\n| 300 | 75 | 1.8088 | 1.0478 | 1.0006 |\n| 312 | 52 | 1.7593 | 1.0475 | 1.0008 |\n| 320 | 32 | 1.0972 | 1.0015 | 1.0 |\n| 400 | 100 | 1.0058 | 1.0048 | 1.0 |\n| 416 | 52 | 1.0031 | 1.0048 | 1.0 |",1]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 100 | 20 | 1.004 | 1.0047 | 1.0001 |","| 50 | 25 | 1.2206 | 1.0393 | 1.0 |\n| --- | --- | --- | --- | --- |\n| 50 | 25 | 1.3246 | 1.0277 | 1.0 |\n| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |\n| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |\n| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |\n| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |\n| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |\n| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |\n| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |\n| 1000 | 100 | 1.0055 | 1.0101 | 1.0 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.7651 | 0.7531 | 0.7591 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yinetal. | 0.71 | 0.61 | 0.66 |","| Uniﬁed | 0.64 | 0.62 | 0.61 |\n| --- | --- | --- | --- |\n| TD-Mixture | 0.63 | 0.63 | 0.60 |\n| TD-ICDAR | 0.53 | 0.52 | 0.50 |\n| Epshteinetal. | 0.25 | 0.25 | 0.25 |\n| Chenetal. | 0.05 | 0.05 | 0.05 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.7651 | 0.7531 | 0.7591 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yinetal. | 0.71 | 0.61 | 0.66 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.88 | 0.78 | 0.83 |\n| Zhangetal. | 0.88 | 0.74 | 0.80 |\n| Tianetal. | 0.85 | 0.76 | 0.80 |\n| Luetal. | 0.89 | 0.70 | 0.78 |\n| iwrr2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 0.88 | 0.65 | 0.74 |\n| Yinetal. | 0.84 | 0.65 | 0.73 |\n| CASIANLPR | 0.79 | 0.68 | 0.73 |\n| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |\n| I2RNUSFAR | 0.75 | 0.69 | 0.72 |\n| I2RNUS | 0.73 | 0.66 | 0.69 |\n| TH-TextLoc | 0.70 | 0.65 | 0.67 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.7651 | 0.7531 | 0.7591 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |","| Yinetal. | 0.71 | 0.61 | 0.66 |\n| --- | --- | --- | --- |\n| Uniﬁed | 0.64 | 0.62 | 0.61 |\n| TD-Mixture | 0.63 | 0.63 | 0.60 |\n| TD-ICDAR | 0.53 | 0.52 | 0.50 |\n| Epshteinetal. | 0.25 | 0.25 | 0.25 |\n| Chenetal. | 0.05 | 0.05 | 0.05 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.7651 | 0.7531 | 0.7591 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |","| Yinetal. | 0.84 | 0.65 | 0.73 |\n| --- | --- | --- | --- |\n| CASIANLPR | 0.79 | 0.68 | 0.73 |\n| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |\n| I2RNUSFAR | 0.75 | 0.69 | 0.72 |\n| I2RNUS | 0.73 | 0.66 | 0.69 |\n| TH-TextLoc | 0.70 | 0.65 | 0.67 |",0]
["|  | mbb/h |\n| --- | --- |\n| RandomizedPseudo-HarmonicMapping | 1,465 |\n| Resolve | 150.2 |\n| Reach-Maxmargin(Expensive) | 149.2 |","| Unsafe(Expensive) | 148.3 |\n| --- | --- |\n| Maxmargin | 122.0 |\n| Reach-Maxmargin | 119.1 |",1]
["|  | mbb/h |\n| --- | --- |\n| RandomizedPseudo-HarmonicMapping | 1,465 |\n| Resolve | 150.2 |\n| Reach-Maxmargin(Expensive) | 149.2 |","| TurnHold’emTurnBuckets: | 200 | 2,000 | 20,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 684.6 | 465.1 | 345.5 |\n| Unsafe | 130.4 | 85.95 | 79.34 |\n| Resolve | 454.9 | 321.5 | 251.8 |\n| Maxmargin | 427.6 | 299.6 | 234.4 |\n| Reach-Maxmargin | 424.4 | 298.3 | 233.5 |\n| Reach-Maxmargin(notsplit) | 333.4 | 229.4 | 175.5 |\n| Estimate | 120.6 | 89.43 | 76.44 |\n| Estimate+Distributional | 119.4 | 87.83 | 74.35 |\n| Reach-Estimate+Distributional | 116.8 | 85.80 | 72.59 |\n| Reach-Estimate+Distributional(notsplit) | 113.3 | 83.24 | 70.68 |",0]
["|  | mbb/h |\n| --- | --- |\n| RandomizedPseudo-HarmonicMapping | 1,465 |\n| Resolve | 150.2 |\n| Reach-Maxmargin(Expensive) | 149.2 |\n| Unsafe(Expensive) | 148.3 |","| Maxmargin | 122.0 |\n| --- | --- |\n| Reach-Maxmargin | 119.1 |",1]
["|  | mbb/h |\n| --- | --- |\n| RandomizedPseudo-HarmonicMapping | 1,465 |\n| Resolve | 150.2 |\n| Reach-Maxmargin(Expensive) | 149.2 |\n| Unsafe(Expensive) | 148.3 |","| Reach-Estimate+Distributional | 116.8 | 85.80 | 72.59 |\n| --- | --- | --- | --- |\n| Reach-Estimate+Distributional(notsplit) | 113.3 | 83.24 | 70.68 |",0]
["|  | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |\n| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |","| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",1]
["|  | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |\n| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |","| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |\n| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["|  | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |\n| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |\n| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |","| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",1]
["|  | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |\n| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |\n| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |","| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| --- | --- | --- | --- | --- |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(24bits) | 1 | 24 | 276 | 2,024 | 10,626 | 42,504 | 134,596 | 346,104 | 735,471 |\n| #ofqueries(24bits)(0.234s) | 70 | 467 | 277 | 115 | 44 | 18 | 7 | 2 | 0 |","| #ofbuckets(40bits) | 1 | 40 | 780 | 9,880 | 91,390 | 658,008 | 3,838,380 | 18,643,560 | 76,904,685 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofqueries(40bits)(240.0s) | 0 | 0 | 27 | 252 | 302 | 205 | 107 | 57 | 27 |",1]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(24bits) | 1 | 24 | 276 | 2,024 | 10,626 | 42,504 | 134,596 | 346,104 | 735,471 |\n| #ofqueries(24bits)(0.234s) | 70 | 467 | 277 | 115 | 44 | 18 | 7 | 2 | 0 |","| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(16bits) | 1 | 16 | 120 | 560 | 1,820 | 4,368 | 8,008 | 11,440 | 12,870 |\n| #ofqueries(16bits)(1.752s) | 0 | 3637 | 4932 | 1230 | 169 | 30 | 1 | 1 | 0 |\n| #ofbuckets(32bits) | 1 | 32 | 496 | 4960 | 35,960 | 201,376 | 906,192 | 3,365,856 | 10,518,300 |\n| #ofqueries(32bits)(237.8s) | 0 | 0 | 0 | 4 | 1710 | 4282 | 2691 | 1021 | 241 |",0]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(24bits) | 1 | 24 | 276 | 2,024 | 10,626 | 42,504 | 134,596 | 346,104 | 735,471 |","| #ofqueries(24bits)(0.234s) | 70 | 467 | 277 | 115 | 44 | 18 | 7 | 2 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(40bits) | 1 | 40 | 780 | 9,880 | 91,390 | 658,008 | 3,838,380 | 18,643,560 | 76,904,685 |\n| #ofqueries(40bits)(240.0s) | 0 | 0 | 27 | 252 | 302 | 205 | 107 | 57 | 27 |",1]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(24bits) | 1 | 24 | 276 | 2,024 | 10,626 | 42,504 | 134,596 | 346,104 | 735,471 |","| #ofqueries(16bits)(1.752s) | 0 | 3637 | 4932 | 1230 | 169 | 30 | 1 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(32bits) | 1 | 32 | 496 | 4960 | 35,960 | 201,376 | 906,192 | 3,365,856 | 10,518,300 |\n| #ofqueries(32bits)(237.8s) | 0 | 0 | 0 | 4 | 1710 | 4282 | 2691 | 1021 | 241 |",0]
["|  | AU | AP | VP-25 | SF |\n| --- | --- | --- | --- | --- |\n| N=60 | 0.600 | 0.569 | 0.722 | 0.920 |\n| N=70 | 0.612 | 0.655 | 0.801 | 0.992 |","| N=80 | 0.645 | 0.657 | 0.814 | 0.989 |\n| --- | --- | --- | --- | --- |\n| N=90 | 0.642 | 0.678 | 0.816 | 0.986 |\n| N=100 | 0.663 | 0.685 | 0.823 | 0.983 |",1]
["|  | AU | AP | VP-25 | SF |\n| --- | --- | --- | --- | --- |\n| N=60 | 0.600 | 0.569 | 0.722 | 0.920 |\n| N=70 | 0.612 | 0.655 | 0.801 | 0.992 |","| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |\n| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |\n| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",0]
["|  | AU | AP | VP-25 | SF |\n| --- | --- | --- | --- | --- |\n| N=60 | 0.600 | 0.569 | 0.722 | 0.920 |\n| N=70 | 0.612 | 0.655 | 0.801 | 0.992 |\n| N=80 | 0.645 | 0.657 | 0.814 | 0.989 |","| N=90 | 0.642 | 0.678 | 0.816 | 0.986 |\n| --- | --- | --- | --- | --- |\n| N=100 | 0.663 | 0.685 | 0.823 | 0.983 |",1]
["|  | AU | AP | VP-25 | SF |\n| --- | --- | --- | --- | --- |\n| N=60 | 0.600 | 0.569 | 0.722 | 0.920 |\n| N=70 | 0.612 | 0.655 | 0.801 | 0.992 |\n| N=80 | 0.645 | 0.657 | 0.814 | 0.989 |","| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| --- | --- | --- | --- | --- | --- |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",0]
["| NetworkData | CAT | CRAB | FACE | MNIST |\n| --- | --- | --- | --- | --- |\n| CAT | 1.195 | 1.718 | 2.07 | 12.132 |","| CRAB | 2.621 | 0.854 | 3.158 | 10.881 |\n| --- | --- | --- | --- | --- |\n| FACE | 5.025 | 5.532 | 3.158 | 50.527 |\n| MNIST | 9.118 | 6.643 | 4.68 | 0.405 |",1]
["| NetworkData | CAT | CRAB | FACE | MNIST |\n| --- | --- | --- | --- | --- |\n| CAT | 1.195 | 1.718 | 2.07 | 12.132 |","| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| NetworkData | CAT | CRAB | FACE | MNIST |\n| --- | --- | --- | --- | --- |\n| CAT | 1.195 | 1.718 | 2.07 | 12.132 |","| CRAB | 2.621 | 0.854 | 3.158 | 10.881 |\n| --- | --- | --- | --- | --- |\n| FACE | 5.025 | 5.532 | 3.158 | 50.527 |\n| MNIST | 9.118 | 6.643 | 4.68 | 0.405 |",1]
["| NetworkData | CAT | CRAB | FACE | MNIST |\n| --- | --- | --- | --- | --- |\n| CAT | 1.195 | 1.718 | 2.07 | 12.132 |","| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| --- | --- | --- | --- | --- | --- |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| 3-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| --- | --- | --- |\n| Spring | 1.8313.2721.646 | 0.4261.844 |\n| Gravity | 1.2881.5721.194 | 0.1460.191 |\n| MagneticBilliards | 1.8782.9111.792 | 0.4541.863 |\n| Billiards | 1.6002.7521.391 | 0.9422.507 |\n| Drift | 2.9203.6632.474 | 0.00170.0052 |","|  |  |  |\n| --- | --- | --- |\n| 6-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| Spring | 0.6080.8580.565 | 0.2350.324 |\n| Gravity | 0.4220.5970.416 | 0.0920.157 |\n| MagneticBilliards | 0.8361.3740.750 | 0.3490.791 |\n| Billiards | 1.0222.5820.918 | 0.8171.919 |\n| Drift | 0.8311.0830.749 | 0.00250.0069 |",1]
["| 3-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| --- | --- | --- |\n| Spring | 1.8313.2721.646 | 0.4261.844 |\n| Gravity | 1.2881.5721.194 | 0.1460.191 |\n| MagneticBilliards | 1.8782.9111.792 | 0.4541.863 |\n| Billiards | 1.6002.7521.391 | 0.9422.507 |\n| Drift | 2.9203.6632.474 | 0.00170.0052 |","|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| --- | --- | --- |\n| Spring | 0.0460.2490.157 | 0.0630.324 |\n| Gravity | 0.0080.0480.043 | 0.0130.081 |\n| MagneticBilliards | 0.1110.3980.314 | 0.1790.332 |\n| Billiards | 0.1510.3910.308 | 0.1990.348 |\n| Euclideandeviationperobjectafterfullframewidthistravelled |  |  |\n|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| Spring | 0.0690.3040.213 | 0.0910.360 |\n| Gravity | 0.0090.0380.038 | 0.0100.057 |\n| MagneticBilliards | 0.1180.4170.455 | 0.1650.354 |\n| Billiards | 0.1790.4700.395 | 0.2230.411 |",0]
["| 3-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| --- | --- | --- |\n| Spring | 1.8313.2721.646 | 0.4261.844 |\n| Gravity | 1.2881.5721.194 | 0.1460.191 |\n| MagneticBilliards | 1.8782.9111.792 | 0.4541.863 |\n| Billiards | 1.6002.7521.391 | 0.9422.507 |","| Drift | 2.9203.6632.474 | 0.00170.0052 |\n| --- | --- | --- |\n|  |  |  |\n| 6-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| Spring | 0.6080.8580.565 | 0.2350.324 |\n| Gravity | 0.4220.5970.416 | 0.0920.157 |\n| MagneticBilliards | 0.8361.3740.750 | 0.3490.791 |\n| Billiards | 1.0222.5820.918 | 0.8171.919 |\n| Drift | 0.8311.0830.749 | 0.00250.0069 |",1]
["| 3-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| --- | --- | --- |\n| Spring | 1.8313.2721.646 | 0.4261.844 |\n| Gravity | 1.2881.5721.194 | 0.1460.191 |\n| MagneticBilliards | 1.8782.9111.792 | 0.4541.863 |\n| Billiards | 1.6002.7521.391 | 0.9422.507 |","| Euclideandeviationperobjectafterfullframewidthistravelled |  |  |\n| --- | --- | --- |\n|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| Spring | 0.0690.3040.213 | 0.0910.360 |\n| Gravity | 0.0090.0380.038 | 0.0100.057 |\n| MagneticBilliards | 0.1180.4170.455 | 0.1650.354 |\n| Billiards | 0.1790.4700.395 | 0.2230.411 |",0]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means | 0.567 | 0.669 | 0.120 | 0.442 | - |","| VCA | 0.547 | 0.481 | 0.517 | 0.248 | - |\n| --- | --- | --- | --- | --- | --- |\n| NMF | 0.512 | 0.558 | 0.517 | 0.133 | - |\n| LMM | 0.437 | 0.473 | 0.349 | 0.148 | - |\n| SLMM | 0.359 | 0.495 | 0.009 | 0.128 | 0.259 |",1]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means | 0.567 | 0.669 | 0.120 | 0.442 | - |","|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means(×10) | 0.043 | 0.225 | 0.015 | 6.136 | - |\n| VCA(×10) | 0.667 | 1.817 | 0.093 | 1.301 | - |\n| NMF(×10) | 0.010 | 0.381 | 0.448 | 1.486 | - |\n| LMM(×10) | 3.791 | 0.043 | 0.602 | 1.469 | - |\n| SLMM(×10) | 1.270 | 0.312 | 0.003 | 0.098 | 2.261 |",0]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means | 0.567 | 0.669 | 0.120 | 0.442 | - |","| VCA | 0.547 | 0.481 | 0.517 | 0.248 | - |\n| --- | --- | --- | --- | --- | --- |\n| NMF | 0.512 | 0.558 | 0.517 | 0.133 | - |\n| LMM | 0.437 | 0.473 | 0.349 | 0.148 | - |\n| SLMM | 0.359 | 0.495 | 0.009 | 0.128 | 0.259 |",1]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means | 0.567 | 0.669 | 0.120 | 0.442 | - |","| VCA(×10) | 0.667 | 1.817 | 0.093 | 1.301 | - |\n| --- | --- | --- | --- | --- | --- |\n| NMF(×10) | 0.010 | 0.381 | 0.448 | 1.486 | - |\n| LMM(×10) | 3.791 | 0.043 | 0.602 | 1.469 | - |\n| SLMM(×10) | 1.270 | 0.312 | 0.003 | 0.098 | 2.261 |",0]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |\n| --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |","| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 0.183<br>0.432<br>1.141<br>1.902 | 6.444<br>15.987<br>35.707<br>68.326 | 0.590<br>0.666<br>1.610<br>2.737 | 4.917<br>8.616<br>19.381<br>35.241 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 0.186<br>0.399<br>0.931<br>1.823 | 7.554<br>23.040<br>31.314<br>60.240 | 0.360<br>0.528<br>1.335<br>2.138 | 4.237<br>7.330<br>16.399<br>28.158 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 0.317<br>0.744<br>1.847<br>3.236 | 13.788<br>22.611<br>61.306<br>112.171 | 0.573<br>0.987<br>2.206<br>4.042 | 7.135<br>12.436<br>29.526<br>50.446 |",1]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |\n| --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |","| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",0]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 0.183<br>0.432<br>1.141<br>1.902 | 6.444<br>15.987<br>35.707<br>68.326 | 0.590<br>0.666<br>1.610<br>2.737 | 4.917<br>8.616<br>19.381<br>35.241 |","| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 0.186<br>0.399<br>0.931<br>1.823 | 7.554<br>23.040<br>31.314<br>60.240 | 0.360<br>0.528<br>1.335<br>2.138 | 4.237<br>7.330<br>16.399<br>28.158 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1047<br>1807<br>4132<br>7185 | 0.317<br>0.744<br>1.847<br>3.236 | 13.788<br>22.611<br>61.306<br>112.171 | 0.573<br>0.987<br>2.206<br>4.042 | 7.135<br>12.436<br>29.526<br>50.446 |",1]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 0.183<br>0.432<br>1.141<br>1.902 | 6.444<br>15.987<br>35.707<br>68.326 | 0.590<br>0.666<br>1.610<br>2.737 | 4.917<br>8.616<br>19.381<br>35.241 |","| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",0]
["| n=50 | n=100 | n=200 |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | max. |  |  |  |  |  |  |  |\n| h | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.02 | 0 | 0.01 | 0 | 0.02 | 0 | 0.02 | 2 |\n| 2 | 0 | 0.01 | 0 | 0 | 0 | 0.04 | 0 | 0.02 | 0 | 0.05 | 0 | 0.03 | 6 |\n| 3 | 0 | 0.01 | 0 | 0 | 0.01 | 0.01 | 0 | 0.02 | 0.01 | 0.02 | 0.01 | 0.06 | 24 |\n| 4 | 0.02 | 0.04 | 0.01 | 0.01 | 0.04 | 0.06 | 0.02 | 0.03 | 0.08 | 0.11 | 0.04 | 0.06 | 112 |\n| 5 | 0.12 | 0.18 | 0.05 | 0.08 | 0.27 | 0.33 | 0.12 | 0.18 | 0.51 | 0.65 | 0.27 | 0.4 | 568 |\n| 6 | 0.76 | 1.09 | 0.26 | 0.42 | 1.72 | 2.52 | 0.78 | 1.23 | 3.56 | 4.84 | 1.78 | 2.73 | 3032 |","| 7 | 4.67 | 8.13 | 1.32 | 3.38 | 12.18 | 16.27 | 4.93 | 7.17 | 25.71 | 27.89 | 13.45 | 15.06 | 16768 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 42.18 | 72.01 | 7.66 | 19.74 | 114.11 | 136.28 | 50.78 | 69.6 | 242.49 | 269.56 | 116.55 | 131.73 | 95200 |",1]
["| n=50 | n=100 | n=200 |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | max. |  |  |  |  |  |  |  |\n| h | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.02 | 0 | 0.01 | 0 | 0.02 | 0 | 0.02 | 2 |\n| 2 | 0 | 0.01 | 0 | 0 | 0 | 0.04 | 0 | 0.02 | 0 | 0.05 | 0 | 0.03 | 6 |\n| 3 | 0 | 0.01 | 0 | 0 | 0.01 | 0.01 | 0 | 0.02 | 0.01 | 0.02 | 0.01 | 0.06 | 24 |\n| 4 | 0.02 | 0.04 | 0.01 | 0.01 | 0.04 | 0.06 | 0.02 | 0.03 | 0.08 | 0.11 | 0.04 | 0.06 | 112 |\n| 5 | 0.12 | 0.18 | 0.05 | 0.08 | 0.27 | 0.33 | 0.12 | 0.18 | 0.51 | 0.65 | 0.27 | 0.4 | 568 |\n| 6 | 0.76 | 1.09 | 0.26 | 0.42 | 1.72 | 2.52 | 0.78 | 1.23 | 3.56 | 4.84 | 1.78 | 2.73 | 3032 |","| n=50 | n=100 | n=200 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | avg. | max. | avg. | max. | avg. | max. | max.states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 2 |\n| 2 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 5 |\n| 3 | 0 | 0.01 | 0 | 0.01 | 0.01 | 0.01 | 15 |\n| 4 | 0 | 0.01 | 0.01 | 0.01 | 0.02 | 0.03 | 51 |\n| 5 | 0.01 | 0.02 | 0.04 | 0.06 | 0.09 | 0.12 | 188 |\n| 6 | 0.03 | 0.05 | 0.15 | 0.21 | 0.36 | 0.5 | 731 |\n| 7 | 0.11 | 0.19 | 0.58 | 0.98 | 1.55 | 2.35 | 2950 |\n| 8 | 0.36 | 0.57 | 2.3 | 3.9 | 7.16 | 8.03 | 12235 |\n| 9 | 1.2 | 2.4 | 10.74 | 13.8 | 33.97 | 55.2 | 51822 |\n| 10 | 4,46 | 14.05 | 49.63 | 87.13 | - | - | 222616 |\n| 11 | 16,92 | 52.41 | - | - | - | - | 771128 |",0]
["| n=50 | n=100 | n=200 |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | max. |  |  |  |  |  |  |  |\n| h | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.02 | 0 | 0.01 | 0 | 0.02 | 0 | 0.02 | 2 |\n| 2 | 0 | 0.01 | 0 | 0 | 0 | 0.04 | 0 | 0.02 | 0 | 0.05 | 0 | 0.03 | 6 |\n| 3 | 0 | 0.01 | 0 | 0 | 0.01 | 0.01 | 0 | 0.02 | 0.01 | 0.02 | 0.01 | 0.06 | 24 |\n| 4 | 0.02 | 0.04 | 0.01 | 0.01 | 0.04 | 0.06 | 0.02 | 0.03 | 0.08 | 0.11 | 0.04 | 0.06 | 112 |\n| 5 | 0.12 | 0.18 | 0.05 | 0.08 | 0.27 | 0.33 | 0.12 | 0.18 | 0.51 | 0.65 | 0.27 | 0.4 | 568 |","| 6 | 0.76 | 1.09 | 0.26 | 0.42 | 1.72 | 2.52 | 0.78 | 1.23 | 3.56 | 4.84 | 1.78 | 2.73 | 3032 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 4.67 | 8.13 | 1.32 | 3.38 | 12.18 | 16.27 | 4.93 | 7.17 | 25.71 | 27.89 | 13.45 | 15.06 | 16768 |\n| 8 | 42.18 | 72.01 | 7.66 | 19.74 | 114.11 | 136.28 | 50.78 | 69.6 | 242.49 | 269.56 | 116.55 | 131.73 | 95200 |",1]
["| n=50 | n=100 | n=200 |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | max. |  |  |  |  |  |  |  |\n| h | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.02 | 0 | 0.01 | 0 | 0.02 | 0 | 0.02 | 2 |\n| 2 | 0 | 0.01 | 0 | 0 | 0 | 0.04 | 0 | 0.02 | 0 | 0.05 | 0 | 0.03 | 6 |\n| 3 | 0 | 0.01 | 0 | 0 | 0.01 | 0.01 | 0 | 0.02 | 0.01 | 0.02 | 0.01 | 0.06 | 24 |\n| 4 | 0.02 | 0.04 | 0.01 | 0.01 | 0.04 | 0.06 | 0.02 | 0.03 | 0.08 | 0.11 | 0.04 | 0.06 | 112 |\n| 5 | 0.12 | 0.18 | 0.05 | 0.08 | 0.27 | 0.33 | 0.12 | 0.18 | 0.51 | 0.65 | 0.27 | 0.4 | 568 |","| 10 | 4,46 | 14.05 | 49.63 | 87.13 | - | - | 222616 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 11 | 16,92 | 52.41 | - | - | - | - | 771128 |",0]
["| Senoneset | Architecture | devsetWER | testWER |\n| --- | --- | --- | --- |\n| 9k | BLSTM<br>ResNet<br>LACE<br>CNN-BLSTM<br>BLSTM+ResNet+LACE<br>BLSTM+ResNet+LACE+CNN-BLSTM | 11.5<br>10.0<br>11.2<br>11.3<br>9.8<br>9.6 | 8.3<br>8.2<br>8.1<br>8.4<br>7.2<br>7.2 |","| 9kpuhpum | BLSTM<br>ResNet<br>LACE<br>CNN-BLSTM<br>BLSTM+ResNet+LACE<br>BLSTM+ResNet+LACE+CNN-BLSTM | 11.3<br>11.2<br>11.1<br>11.6<br>9.7<br>9.7 | 8.1<br>8.4<br>8.3<br>8.4<br>7.4<br>7.3 |\n| --- | --- | --- | --- |\n| 27k | BLSTM<br>ResNet<br>LACE<br>BLSTM+ResNet+LACE | 11.4<br>11.5<br>11.3<br>10.0 | 8.0<br>8.8<br>8.8<br>7.5 |\n| 27kpuhpum | BLSTM<br>ResNet<br>LACE<br>BLSTM+ResNet+LACE | 11.3<br>11.2<br>11.0<br>9.8 | 8.0<br>8.0<br>8.4<br>7.3 |",1]
["| Senoneset | Architecture | devsetWER | testWER |\n| --- | --- | --- | --- |\n| 9k | BLSTM<br>ResNet<br>LACE<br>CNN-BLSTM<br>BLSTM+ResNet+LACE<br>BLSTM+ResNet+LACE+CNN-BLSTM | 11.5<br>10.0<br>11.2<br>11.3<br>9.8<br>9.6 | 8.3<br>8.2<br>8.1<br>8.4<br>7.2<br>7.2 |","| Category | Code | Method | n4 | s4 | n3 | s3 | n | s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Centrality | OR1R<br>OR2<br>OR2R<br>OR3R<br>OR4 | leastsimilartocentroid<br>highestlexrank<br>smallestlexrank<br>smallcluster<br>tﬁdf | 308<br>302<br>317<br>468<br>474 | -2.73<br>1.39<br>-0.61<br>-4.40<br>-4.93 | 453<br>457<br>450<br>581<br>596 | -2.14<br>1.11<br>-0.58<br>-3.94<br>-4.36 | 846<br>846<br>846<br>848<br>850 | -1.26<br>0.59<br>-0.29<br>-2.85<br>-3.24 |\n| NewYorker | NY1<br>NY2<br>NY3 | oﬃcialwinner<br>oﬃcialrunnerup<br>oﬃcialthirdplace | 314<br>330<br>276 | 3.57<br>3.24<br>2.29 | 466<br>463<br>435 | 2.96<br>2.60<br>1.57 | 847<br>845<br>842 | 1.78<br>1.54<br>0.89 |\n| General | GE1<br>GE2<br>GE3R | syntacticallycomplex<br>concrete<br>wellformatted | 268<br>259<br>296 | -0.10<br>-0.33<br>0.81 | 406<br>427<br>446 | -0.14<br>-0.41<br>0.61 | 846<br>844<br>846 | -0.70<br>-0.26<br>0.31 |\n| Content | CU1<br>CU2<br>CU2R<br>CU3 | freebase<br>positivesentiment<br>negativesentiment<br>people | 290<br>268<br>298<br>276 | 0.26<br>1.21<br>1.69<br>1.45 | 424<br>396<br>445<br>409 | 0.17<br>0.83<br>1.30<br>1.24 | 840<br>836<br>826<br>834 | 0.07<br>0.46<br>0.70<br>0.68 |\n| Control | CO2 | antijoke | 259 | 0.27 | 394 | -0.04 | 822 | -0.09 |",0]
["| Senoneset | Architecture | devsetWER | testWER |\n| --- | --- | --- | --- |\n| 9k | BLSTM<br>ResNet<br>LACE<br>CNN-BLSTM<br>BLSTM+ResNet+LACE<br>BLSTM+ResNet+LACE+CNN-BLSTM | 11.5<br>10.0<br>11.2<br>11.3<br>9.8<br>9.6 | 8.3<br>8.2<br>8.1<br>8.4<br>7.2<br>7.2 |\n| 9kpuhpum | BLSTM<br>ResNet<br>LACE<br>CNN-BLSTM<br>BLSTM+ResNet+LACE<br>BLSTM+ResNet+LACE+CNN-BLSTM | 11.3<br>11.2<br>11.1<br>11.6<br>9.7<br>9.7 | 8.1<br>8.4<br>8.3<br>8.4<br>7.4<br>7.3 |","| 27k | BLSTM<br>ResNet<br>LACE<br>BLSTM+ResNet+LACE | 11.4<br>11.5<br>11.3<br>10.0 | 8.0<br>8.8<br>8.8<br>7.5 |\n| --- | --- | --- | --- |\n| 27kpuhpum | BLSTM<br>ResNet<br>LACE<br>BLSTM+ResNet+LACE | 11.3<br>11.2<br>11.0<br>9.8 | 8.0<br>8.0<br>8.4<br>7.3 |",1]
["| Senoneset | Architecture | devsetWER | testWER |\n| --- | --- | --- | --- |\n| 9k | BLSTM<br>ResNet<br>LACE<br>CNN-BLSTM<br>BLSTM+ResNet+LACE<br>BLSTM+ResNet+LACE+CNN-BLSTM | 11.5<br>10.0<br>11.2<br>11.3<br>9.8<br>9.6 | 8.3<br>8.2<br>8.1<br>8.4<br>7.2<br>7.2 |\n| 9kpuhpum | BLSTM<br>ResNet<br>LACE<br>CNN-BLSTM<br>BLSTM+ResNet+LACE<br>BLSTM+ResNet+LACE+CNN-BLSTM | 11.3<br>11.2<br>11.1<br>11.6<br>9.7<br>9.7 | 8.1<br>8.4<br>8.3<br>8.4<br>7.4<br>7.3 |","| General | GE1<br>GE2<br>GE3R | syntacticallycomplex<br>concrete<br>wellformatted | 268<br>259<br>296 | -0.10<br>-0.33<br>0.81 | 406<br>427<br>446 | -0.14<br>-0.41<br>0.61 | 846<br>844<br>846 | -0.70<br>-0.26<br>0.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Content | CU1<br>CU2<br>CU2R<br>CU3 | freebase<br>positivesentiment<br>negativesentiment<br>people | 290<br>268<br>298<br>276 | 0.26<br>1.21<br>1.69<br>1.45 | 424<br>396<br>445<br>409 | 0.17<br>0.83<br>1.30<br>1.24 | 840<br>836<br>826<br>834 | 0.07<br>0.46<br>0.70<br>0.68 |\n| Control | CO2 | antijoke | 259 | 0.27 | 394 | -0.04 | 822 | -0.09 |",0]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |\n| SMD2 | 0.000146 | 0.000169 | 3866 | 921.23 |\n| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |","| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |\n| --- | --- | --- | --- | --- |\n| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |\n| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 |",1]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |\n| SMD2 | 0.000146 | 0.000169 | 3866 | 921.23 |\n| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |","| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000036 | 0.000015 | 2639 | 641.39 |\n| SMD2 | 0.000006 | 0.000005 | 2387 | 652.39 |\n| SMD3 | 0.000064 | 0.000023 | 2390 | 617.64 |\n| SMD4 | 0.000028 | 0.000027 | 1687 | 672.60 |\n| SMD5 | 0.000004 | 0.000003 | 2966 | 681.37 |\n| SMD6 | 0.000157 | 0.000081 | 3301 | 746.07 |",0]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |","| SMD2 | 0.000146 | 0.000169 | 3866 | 921.23 |\n| --- | --- | --- | --- | --- |\n| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |\n| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |\n| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |\n| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 |",1]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |","| SMD2 | 0.000006 | 0.000005 | 2387 | 652.39 |\n| --- | --- | --- | --- | --- |\n| SMD3 | 0.000064 | 0.000023 | 2390 | 617.64 |\n| SMD4 | 0.000028 | 0.000027 | 1687 | 672.60 |\n| SMD5 | 0.000004 | 0.000003 | 2966 | 681.37 |\n| SMD6 | 0.000157 | 0.000081 | 3301 | 746.07 |",0]
["| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |","| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |\n| --- | --- | --- | --- |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |",1]
["| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |","| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| GIST1 | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |","| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |\n| --- | --- | --- | --- |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |",1]
["| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |","| SIFT1M | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| --- | --- | --- | --- | --- |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| GIST1 | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| Sensor | WiredKLJNKeyExchange | WirelessKeyExchange |\n| --- | --- | --- |\n| A | A={B,D}kljn | A={C,E,F,G,H,I,J}wireless |\n| B | B={A,E}kljn | B={C,D,F,G,H,I,J}wireless |","| C | C={D}kljn | C={A,B,E,F,G,H,I,J}wireless |\n| --- | --- | --- |\n| D | D={A,C,E}kljn | D={B,F,G,H,I,J}wireless |\n| E | E={B,D}kljn | E={A,C,F,G,H,I,J}wireless |\n| F | F={G}kljn | F={A,B,C,D,E,H,I,J}wireless |\n| G | G={F}kljn | G={A,B,C,D,E,H,I,J}wireless |\n| H | H=∅kljn | H={A,B,C,D,E,F,G,I,J}wireless |\n| I | I=∅kljn | I={A,B,C,D,E,F,G,H,J}wireless |\n| J | J=∅kljn | J={A,B,C,D,E,F,G,H,I}wireless |",1]
["| Sensor | WiredKLJNKeyExchange | WirelessKeyExchange |\n| --- | --- | --- |\n| A | A={B,D}kljn | A={C,E,F,G,H,I,J}wireless |\n| B | B={A,E}kljn | B={C,D,F,G,H,I,J}wireless |","| Timestep | Analogdata | Quantizeddata<br>M=5 | Quantizeddata<br>M=2 |\n| --- | --- | --- | --- |\n| t=1MI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=1FI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=3MI | Sensor8 | Sensor8 | Sensor2,7,14 |\n| t=3FI | Sensor8 | Sensor8 | Sensor2,7,9 |\n| t=8MI | Sensor16 | Sensor16 | Sensor10,16,21 |\n| t=8FI | Sensor15 | Sensor15 | Sensor10,16 |",0]
["| Sensor | WiredKLJNKeyExchange | WirelessKeyExchange |\n| --- | --- | --- |\n| A | A={B,D}kljn | A={C,E,F,G,H,I,J}wireless |\n| B | B={A,E}kljn | B={C,D,F,G,H,I,J}wireless |\n| C | C={D}kljn | C={A,B,E,F,G,H,I,J}wireless |\n| D | D={A,C,E}kljn | D={B,F,G,H,I,J}wireless |\n| E | E={B,D}kljn | E={A,C,F,G,H,I,J}wireless |\n| F | F={G}kljn | F={A,B,C,D,E,H,I,J}wireless |\n| G | G={F}kljn | G={A,B,C,D,E,H,I,J}wireless |","| H | H=∅kljn | H={A,B,C,D,E,F,G,I,J}wireless |\n| --- | --- | --- |\n| I | I=∅kljn | I={A,B,C,D,E,F,G,H,J}wireless |\n| J | J=∅kljn | J={A,B,C,D,E,F,G,H,I}wireless |",1]
["| Sensor | WiredKLJNKeyExchange | WirelessKeyExchange |\n| --- | --- | --- |\n| A | A={B,D}kljn | A={C,E,F,G,H,I,J}wireless |\n| B | B={A,E}kljn | B={C,D,F,G,H,I,J}wireless |\n| C | C={D}kljn | C={A,B,E,F,G,H,I,J}wireless |\n| D | D={A,C,E}kljn | D={B,F,G,H,I,J}wireless |\n| E | E={B,D}kljn | E={A,C,F,G,H,I,J}wireless |\n| F | F={G}kljn | F={A,B,C,D,E,H,I,J}wireless |\n| G | G={F}kljn | G={A,B,C,D,E,H,I,J}wireless |","| t=3MI | Sensor8 | Sensor8 | Sensor2,7,14 |\n| --- | --- | --- | --- |\n| t=3FI | Sensor8 | Sensor8 | Sensor2,7,9 |\n| t=8MI | Sensor16 | Sensor16 | Sensor10,16,21 |\n| t=8FI | Sensor15 | Sensor15 | Sensor10,16 |",0]
["| UniqueActors | ExecutionTime(msec) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Step-8 | Step-9 |  |  |\n|  | MySQL | Neo4j | MySQL | Neo4j |","| 150 | 225 | 9616 | 1907 | 2403 |\n| --- | --- | --- | --- | --- |\n| 158 | 372 | 11700 | 2844 | 2925 |\n| 220 | 713 | 14655 | 6292 | 3664 |\n| 229 | 903 | 29520 | 6703 | 7380 |\n| 242 | 1403 | 48891 | 8453 | 12223 |",1]
["| UniqueActors | ExecutionTime(msec) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Step-8 | Step-9 |  |  |\n|  | MySQL | Neo4j | MySQL | Neo4j |","| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["| UniqueActors | ExecutionTime(msec) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Step-8 | Step-9 |  |  |\n|  | MySQL | Neo4j | MySQL | Neo4j |\n| 150 | 225 | 9616 | 1907 | 2403 |\n| 158 | 372 | 11700 | 2844 | 2925 |\n| 220 | 713 | 14655 | 6292 | 3664 |","| 229 | 903 | 29520 | 6703 | 7380 |\n| --- | --- | --- | --- | --- |\n| 242 | 1403 | 48891 | 8453 | 12223 |",1]
["| UniqueActors | ExecutionTime(msec) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Step-8 | Step-9 |  |  |\n|  | MySQL | Neo4j | MySQL | Neo4j |\n| 150 | 225 | 9616 | 1907 | 2403 |\n| 158 | 372 | 11700 | 2844 | 2925 |\n| 220 | 713 | 14655 | 6292 | 3664 |","| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| --- | --- | --- | --- | --- |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 24.1 | 26.6 | 34.2 | 28.3 |","| Sappetal.+K-Means | 22.9 | 27.9 | 40.5 | 30.4 |\n| --- | --- | --- | --- | --- |\n| YangandRamanan+K-Means | 38.3 | 25.7 | 22.6 | 28.9 |\n| Groundtruth+K-Means | 34.7 | 36.1 | 39.5 | 36.8 |\n| OurApproach | 55.6 | 68.8 | 80.8 | 68.4 |",1]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 24.1 | 26.6 | 34.2 | 28.3 |","| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 |\n| Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 |\n| YangandRamanan+K-Means | 43.2 | 28.6 | 35.8 | 35.9 |\n| Groundtruth+K-Means | 31 | 29.8 | 26.1 | 28.9 |\n| OurApproach | 57.2 | 60.3 | 74.7 | 64.1 |",0]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 24.1 | 26.6 | 34.2 | 28.3 |\n| Sappetal.+K-Means | 22.9 | 27.9 | 40.5 | 30.4 |\n| YangandRamanan+K-Means | 38.3 | 25.7 | 22.6 | 28.9 |","| Groundtruth+K-Means | 34.7 | 36.1 | 39.5 | 36.8 |\n| --- | --- | --- | --- | --- |\n| OurApproach | 55.6 | 68.8 | 80.8 | 68.4 |",1]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 24.1 | 26.6 | 34.2 | 28.3 |\n| Sappetal.+K-Means | 22.9 | 27.9 | 40.5 | 30.4 |\n| YangandRamanan+K-Means | 38.3 | 25.7 | 22.6 | 28.9 |","| Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 |\n| --- | --- | --- | --- | --- |\n| YangandRamanan+K-Means | 43.2 | 28.6 | 35.8 | 35.9 |\n| Groundtruth+K-Means | 31 | 29.8 | 26.1 | 28.9 |\n| OurApproach | 57.2 | 60.3 | 74.7 | 64.1 |",0]
["|  | MusicalEnsembleGroup | NoMusicalEnsembleGroup |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Human-like | Harmony | Melody | Human-like | Harmony | Melody |","| OdetoJoy<br>-Layered<br>HMM | 3.125 | 3.250 | 3.125 | 3.8 | 4.0 | 3.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| WeThree<br>Kings-<br>Layered<br>HMM | 3.500 | 3.125 | 3.125 | 2.4 | 1.8 | 2.2 |\n| Pachelbel’s<br>Canon-<br>TVAR(11) | 3.438 | 3.375 | 3.063 | 3.5 | 3.6 | 3.2 |",1]
["|  | MusicalEnsembleGroup | NoMusicalEnsembleGroup |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Human-like | Harmony | Melody | Human-like | Harmony | Melody |","| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.0769 | 0.3427 | 0.1119 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1266 | 0.2848 | 0.1709 |\n| WeThreeKings | 0.0757 | 0.2919 | 0.4324 |\n| WeThreeKings-LayeredHMM | 0.2054 | 0.2865 | 0.1784 |\n| Pachelbel’sCanon | 0.1497 | 0.2389 | 0.5191 |\n| Pachelbel’sCanon-TVAR(11) | 0.625 | 0.275 | 0.3000 |",0]
["|  | MusicalEnsembleGroup | NoMusicalEnsembleGroup |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Human-like | Harmony | Melody | Human-like | Harmony | Melody |\n| OdetoJoy<br>-Layered<br>HMM | 3.125 | 3.250 | 3.125 | 3.8 | 4.0 | 3.8 |","| WeThree<br>Kings-<br>Layered<br>HMM | 3.500 | 3.125 | 3.125 | 2.4 | 1.8 | 2.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pachelbel’s<br>Canon-<br>TVAR(11) | 3.438 | 3.375 | 3.063 | 3.5 | 3.6 | 3.2 |",1]
["|  | MusicalEnsembleGroup | NoMusicalEnsembleGroup |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Human-like | Harmony | Melody | Human-like | Harmony | Melody |\n| OdetoJoy<br>-Layered<br>HMM | 3.125 | 3.250 | 3.125 | 3.8 | 4.0 | 3.8 |","| WeThreeKings | 0.0757 | 0.2919 | 0.4324 |\n| --- | --- | --- | --- |\n| WeThreeKings-LayeredHMM | 0.2054 | 0.2865 | 0.1784 |\n| Pachelbel’sCanon | 0.1497 | 0.2389 | 0.5191 |\n| Pachelbel’sCanon-TVAR(11) | 0.625 | 0.275 | 0.3000 |",0]
["| Shuttle | ImageObject |\n| --- | --- |\n| K=15,L=50 | K=15,L=50 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5reachcomp<br>λ=0.2 | k=k=5reachcomp<br>λ=0.2 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |","| k=5 | k=5 |\n| --- | --- |\n| h=1,c=0.1<br>GaussianKernel | h=1,c=0.1<br>GaussianKernel |\n| k=5,m=0.5 | k=5,m=0.5 |\n| k=5,\\|S1\\|=320,\\|S2\\|=2 | k=5,\\|S1\\|=320,\\|S2\\|=2 |",1]
["| Shuttle | ImageObject |\n| --- | --- |\n| K=15,L=50 | K=15,L=50 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5reachcomp<br>λ=0.2 | k=k=5reachcomp<br>λ=0.2 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |","| Image | KernelSize,<br>Connectivity | Time | Upper-bound<br>SDBCMPLP-CP-v2 | Lower-bound<br>SDBCMPLP-CP-v2 |\n| --- | --- | --- | --- | --- |\n| “1234” | 3×3,23 | 20min<br>1hr<br>24hr | −601.31−601.31<br>−601.31−601.31<br>−601.31−601.31 | −601.42−601.31<br>−601.32−601.31<br>−601.31−601.31 |\n| “1234” | 5×5,70 | 20min<br>1hr<br>24hr | −550.99−550.81<br>−551.02−550.95<br>−551.02−551.02 | −551.84−551.87<br>−551.26−551.30<br>−551.02−551.06 |\n| “1234” | 7×7,136 | 20min<br>1hr<br>24hr | −478.07−474.19<br>−478.15−477.47<br>−478.16−477.84 | −479.82−500.90<br>−478.74−487.26<br>−478.16−480.46 |\n| “ABCD” | 3×3,23 | 20min<br>1hr<br>24hr | −524.60−524.60<br>−524.60−524.60<br>−524.60−524.60 | −524.74−524.60<br>−524.63−524.60<br>−524.60−524.60 |\n| “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |\n| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 |",0]
["| Shuttle | ImageObject |\n| --- | --- |\n| K=15,L=50 | K=15,L=50 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5reachcomp<br>λ=0.2 | k=k=5reachcomp<br>λ=0.2 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |\n| k=5 | k=5 |","| h=1,c=0.1<br>GaussianKernel | h=1,c=0.1<br>GaussianKernel |\n| --- | --- |\n| k=5,m=0.5 | k=5,m=0.5 |\n| k=5,\\|S1\\|=320,\\|S2\\|=2 | k=5,\\|S1\\|=320,\\|S2\\|=2 |",1]
["| Shuttle | ImageObject |\n| --- | --- |\n| K=15,L=50 | K=15,L=50 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5reachcomp<br>λ=0.2 | k=k=5reachcomp<br>λ=0.2 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |\n| k=5 | k=5 |","| “ABCD” | 3×3,23 | 20min<br>1hr<br>24hr | −524.60−524.60<br>−524.60−524.60<br>−524.60−524.60 | −524.74−524.60<br>−524.63−524.60<br>−524.60−524.60 |\n| --- | --- | --- | --- | --- |\n| “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |\n| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 |",0]
["| Variable | Type | Meaning |\n| --- | --- | --- |\n| L | Continuous | thelengthofthebin |\n| W | Continuous | thewidthofthebin |\n| H | Continuous | theheightofthebin |\n| xi | Continuous | LBBcoordinateofitemiinxaxis |\n| yi | Continuous | LBBcoordinateofitemiinyaxis |\n| zi | Continuous | LBBcoordinateofitemiinzaxis |\n| sij | Binary | itemiisintheleftsideofitemjornot |\n| uij | Binary | itemiisunderitemjornot |\n| bij | Binary | itemiisinthebackofitemjornot |\n| δi1 | Binary | orientationofitemiisfront-upornot |\n| δi2 | Binary | orientationofitemiisfront-downornot |\n| δi3 | Binary | orientationofitemiisside-upornot |\n| δi4 | Binary | orientationofitemiisside-downornot |","| δi5 | Binary | orientationofitemiisbuttom-upornot |\n| --- | --- | --- |\n| δi6 | Binary | orientationofitemiisbuttom-downornot |",1]
["| Variable | Type | Meaning |\n| --- | --- | --- |\n| L | Continuous | thelengthofthebin |\n| W | Continuous | thewidthofthebin |\n| H | Continuous | theheightofthebin |\n| xi | Continuous | LBBcoordinateofitemiinxaxis |\n| yi | Continuous | LBBcoordinateofitemiinyaxis |\n| zi | Continuous | LBBcoordinateofitemiinzaxis |\n| sij | Binary | itemiisintheleftsideofitemjornot |\n| uij | Binary | itemiisunderitemjornot |\n| bij | Binary | itemiisinthebackofitemjornot |\n| δi1 | Binary | orientationofitemiisfront-upornot |\n| δi2 | Binary | orientationofitemiisfront-downornot |\n| δi3 | Binary | orientationofitemiisside-upornot |\n| δi4 | Binary | orientationofitemiisside-downornot |","| variable | Description |\n| --- | --- |\n| TreeSize | thesizeoftheB+tree |\n| T | thetotallevelsoftheB+tree.T=(log(M/K)/log(K+1)+1) |\n| L | thelevelsoftheB+treecanﬁtincache.EachslaveholdLlevelsoftheB+tree |\n| W1 | thememorybandwidth647MB/s |\n| W2 | thenetworkbandwidth138MB/s |\n| C2 | thesizeofL2cache |\n| BMissPenalty2 | thecostofloadingacachelinefromthememorytotheL2cache |\n| B2 | thesizeoftheL2cachelineinbytes |\n| BMissPenalty1 | thecostofloadingacachelinefromtheL2cachetoL1cache |\n| B1 | thesizeoftheL1cachelineinbytes |\n| CompCostNode | thecosttotraverseoneleveloftheB+treewhilesearchingakey |\n| NUMmasters | thenumberofmasternodes |\n| NUMslaves | thenumberofslavenodesthathavelowerLlevelsoftheB+treeinL2cache |\n| NUM | thenumberofsearchkeysinonebatchlookup |",0]
["| Variable | Type | Meaning |\n| --- | --- | --- |\n| L | Continuous | thelengthofthebin |\n| W | Continuous | thewidthofthebin |\n| H | Continuous | theheightofthebin |\n| xi | Continuous | LBBcoordinateofitemiinxaxis |\n| yi | Continuous | LBBcoordinateofitemiinyaxis |\n| zi | Continuous | LBBcoordinateofitemiinzaxis |\n| sij | Binary | itemiisintheleftsideofitemjornot |\n| uij | Binary | itemiisunderitemjornot |","| bij | Binary | itemiisinthebackofitemjornot |\n| --- | --- | --- |\n| δi1 | Binary | orientationofitemiisfront-upornot |\n| δi2 | Binary | orientationofitemiisfront-downornot |\n| δi3 | Binary | orientationofitemiisside-upornot |\n| δi4 | Binary | orientationofitemiisside-downornot |\n| δi5 | Binary | orientationofitemiisbuttom-upornot |\n| δi6 | Binary | orientationofitemiisbuttom-downornot |",1]
["| Variable | Type | Meaning |\n| --- | --- | --- |\n| L | Continuous | thelengthofthebin |\n| W | Continuous | thewidthofthebin |\n| H | Continuous | theheightofthebin |\n| xi | Continuous | LBBcoordinateofitemiinxaxis |\n| yi | Continuous | LBBcoordinateofitemiinyaxis |\n| zi | Continuous | LBBcoordinateofitemiinzaxis |\n| sij | Binary | itemiisintheleftsideofitemjornot |\n| uij | Binary | itemiisunderitemjornot |","| CompCostNode | thecosttotraverseoneleveloftheB+treewhilesearchingakey |\n| --- | --- |\n| NUMmasters | thenumberofmasternodes |\n| NUMslaves | thenumberofslavenodesthathavelowerLlevelsoftheB+treeinL2cache |\n| NUM | thenumberofsearchkeysinonebatchlookup |",0]
["| Sampling | Pointsn. | Accuracy |\n| --- | --- | --- |\n| 1s | 13345 | 0.9732 |\n| 10s | 1352 | 0.9415 |\n| 30s | 462 | 0.9545 |","| 90s | 165 | 0.9939 |\n| --- | --- | --- |\n| 120s | 129 | 0.9689 |",1]
["| Sampling | Pointsn. | Accuracy |\n| --- | --- | --- |\n| 1s | 13345 | 0.9732 |\n| 10s | 1352 | 0.9415 |\n| 30s | 462 | 0.9545 |","| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |\n| 0.6 | 1 | 0.92 | 0.75 | 0.88 |\n| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| Sampling | Pointsn. | Accuracy |\n| --- | --- | --- |\n| 1s | 13345 | 0.9732 |\n| 10s | 1352 | 0.9415 |\n| 30s | 462 | 0.9545 |","| 90s | 165 | 0.9939 |\n| --- | --- | --- |\n| 120s | 129 | 0.9689 |",1]
["| Sampling | Pointsn. | Accuracy |\n| --- | --- | --- |\n| 1s | 13345 | 0.9732 |\n| 10s | 1352 | 0.9415 |\n| 30s | 462 | 0.9545 |","| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| --- | --- | --- | --- | --- |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| Code | K,{w}B | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |\n| Simplex | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |\n| Polar | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 |\n| Simplex | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 0 |\n| Polar | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 |\n| Simplex | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | 0 | 0 |\n| Polar | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 |\n| Polar | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 54 | 0 | 0 | 0 |\n| eBCH | 6 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 30 | 0 | 16 | 0 |\n| Polar | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 102 | 0 | 0 | 0 |\n| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |\n| DualofeBCH | 10 | 0 | 0 | 0 | 60 | 0 | 256 | 0 | 390 | 0 | 256 | 0 |\n| Polar | 11 | 0 | 0 | 0 | 140 | 0 | 448 | 0 | 870 | 0 | 448 | 0 |\n| Polar | 12 | 0 | 8 | 0 | 252 | 0 | 952 | 0 | 1670 | 0 | 952 | 0 |","| DualofSimplex | 12 | 0 | 1 | 42 | 133 | 252 | 469 | 750 | 835 | 680 | 483 | 294 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 13 | 0 | 24 | 0 | 476 | 0 | 1960 | 0 | 3270 | 0 | 1960 | 0 |\n| DualofSimplex | 13 | 0 | 11 | 82 | 233 | 516 | 1003 | 1470 | 1595 | 1400 | 1017 | 558 |\n| Polar | 14 | 0 | 56 | 0 | 924 | 0 | 3976 | 0 | 6470 | 0 | 3976 | 0 |\n| DualofSimplex | 14 | 0 | 35 | 150 | 425 | 1100 | 2051 | 2810 | 3195 | 2920 | 1985 | 1066 |\n| Polar | 15 | 0 | 120 | 0 | 1820 | 0 | 8008 | 0 | 12870 | 0 | 8008 | 0 |",1]
["| Code | K,{w}B | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |\n| Simplex | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |\n| Polar | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 |\n| Simplex | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 0 |\n| Polar | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 |\n| Simplex | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | 0 | 0 |\n| Polar | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 |\n| Polar | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 54 | 0 | 0 | 0 |\n| eBCH | 6 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 30 | 0 | 16 | 0 |\n| Polar | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 102 | 0 | 0 | 0 |\n| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |\n| DualofeBCH | 10 | 0 | 0 | 0 | 60 | 0 | 256 | 0 | 390 | 0 | 256 | 0 |\n| Polar | 11 | 0 | 0 | 0 | 140 | 0 | 448 | 0 | 870 | 0 | 448 | 0 |\n| Polar | 12 | 0 | 8 | 0 | 252 | 0 | 952 | 0 | 1670 | 0 | 952 | 0 |","| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |\n| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| Code | K,{w}B | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |\n| Simplex | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |\n| Polar | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 |\n| Simplex | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 0 |\n| Polar | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 |\n| Simplex | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | 0 | 0 |\n| Polar | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 |\n| Polar | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 54 | 0 | 0 | 0 |\n| eBCH | 6 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 30 | 0 | 16 | 0 |\n| Polar | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 102 | 0 | 0 | 0 |\n| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |","| DualofeBCH | 10 | 0 | 0 | 0 | 60 | 0 | 256 | 0 | 390 | 0 | 256 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 11 | 0 | 0 | 0 | 140 | 0 | 448 | 0 | 870 | 0 | 448 | 0 |\n| Polar | 12 | 0 | 8 | 0 | 252 | 0 | 952 | 0 | 1670 | 0 | 952 | 0 |\n| DualofSimplex | 12 | 0 | 1 | 42 | 133 | 252 | 469 | 750 | 835 | 680 | 483 | 294 |\n| Polar | 13 | 0 | 24 | 0 | 476 | 0 | 1960 | 0 | 3270 | 0 | 1960 | 0 |\n| DualofSimplex | 13 | 0 | 11 | 82 | 233 | 516 | 1003 | 1470 | 1595 | 1400 | 1017 | 558 |\n| Polar | 14 | 0 | 56 | 0 | 924 | 0 | 3976 | 0 | 6470 | 0 | 3976 | 0 |\n| DualofSimplex | 14 | 0 | 35 | 150 | 425 | 1100 | 2051 | 2810 | 3195 | 2920 | 1985 | 1066 |\n| Polar | 15 | 0 | 120 | 0 | 1820 | 0 | 8008 | 0 | 12870 | 0 | 8008 | 0 |",1]
["| Code | K,{w}B | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |\n| Simplex | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |\n| Polar | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 |\n| Simplex | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 0 |\n| Polar | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 |\n| Simplex | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | 0 | 0 |\n| Polar | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 |\n| Polar | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 54 | 0 | 0 | 0 |\n| eBCH | 6 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 30 | 0 | 16 | 0 |\n| Polar | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 102 | 0 | 0 | 0 |\n| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |","| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["|  | #Records | #Groups<br>(size>1) | Groupsize | #Singletons<br>(size=1) |\n| --- | --- | --- | --- | --- |\n| Random | 2062 | 30 | [2,308] | 503 |\n| AI | 2446 | 1 | 2446 | 0 |\n| UB | 322 | 9 | [2,275] | 5 |","| FBIns | 1149 | 14 | [33,269] | 0 |\n| --- | --- | --- | --- | --- |\n| SIGMOD | 590 | 71 | [2,41] | 162 |",1]
["|  | #Records | #Groups<br>(size>1) | Groupsize | #Singletons<br>(size=1) |\n| --- | --- | --- | --- | --- |\n| Random | 2062 | 30 | [2,308] | 503 |\n| AI | 2446 | 1 | 2446 | 0 |\n| UB | 322 | 9 | [2,275] | 5 |","| Query | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| NG1 | 590 | 2489 | 10056 | 2475 |\n| NG2 | 3 | 10 | 24 | 11 |\n| NG3 | 63 | 128 | 256 | 248 |\n| NG4 | 1839 | N/A | N/A | N/A |\n| NG5 | 204 | 702 | 2965 | 94 |\n| NG6 | 355 | 2474 | 10225 | 2242 |\n| NG7 | 19 | 33 | 76 | 37 |\n| NG8 | 142 | 124 | 256 | 241 |\n| NG11 | 637 | 2645 | 10406 | 2269 |\n| NG12 | 17 | 36 | 79 | 37 |\n| NG13 | 64 | 128 | 265 | 241 |\n| NG14 | 720 | 5886 | 11777 | 2413 |\n| NG15 | 678 | 2714 | 10696 | 2334 |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",0]
["|  | #Records | #Groups<br>(size>1) | Groupsize | #Singletons<br>(size=1) |\n| --- | --- | --- | --- | --- |\n| Random | 2062 | 30 | [2,308] | 503 |\n| AI | 2446 | 1 | 2446 | 0 |","| UB | 322 | 9 | [2,275] | 5 |\n| --- | --- | --- | --- | --- |\n| FBIns | 1149 | 14 | [33,269] | 0 |\n| SIGMOD | 590 | 71 | [2,41] | 162 |",1]
["|  | #Records | #Groups<br>(size>1) | Groupsize | #Singletons<br>(size=1) |\n| --- | --- | --- | --- | --- |\n| Random | 2062 | 30 | [2,308] | 503 |\n| AI | 2446 | 1 | 2446 | 0 |","| NG11 | 637 | 2645 | 10406 | 2269 |\n| --- | --- | --- | --- | --- |\n| NG12 | 17 | 36 | 79 | 37 |\n| NG13 | 64 | 128 | 265 | 241 |\n| NG14 | 720 | 5886 | 11777 | 2413 |\n| NG15 | 678 | 2714 | 10696 | 2334 |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",0]
["| school | children |\n| --- | --- |\n| university | students |\n| company | industry |\n| boy | girl |","| mother | father |\n| --- | --- |\n| national | international |\n| library | books |",1]
["| school | children |\n| --- | --- |\n| university | students |\n| company | industry |\n| boy | girl |","| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["| school | children |\n| --- | --- |\n| university | students |\n| company | industry |","| boy | girl |\n| --- | --- |\n| mother | father |\n| national | international |\n| library | books |",1]
["| school | children |\n| --- | --- |\n| university | students |\n| company | industry |","| boy | girl | 0.089 | 0.804 | 0.863 |\n| --- | --- | --- | --- | --- |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["|  | p=1,N8 | p=1,N21 | p=2,N8 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Utilizationu | 0.9 | 1.0 | 0.9 | 1.0 | 0.9 | 1.0 |\n| LPG | 0.88 | 0.89 | 0.91 | 0.87 | 0.50 | 0.52 |\n| TFD | 0.87 | 0.87 | 0.95 | 0.90 | 0.99 | 0.99 |","| SGPlan | 0.67 | 0.68 | 0.64 | 0.67 | 0.75 | 0.79 |\n| --- | --- | --- | --- | --- | --- | --- |\n| POPF | 0.81 | 0.81 | 0.90 | 0.94 | 0.87 | 0.91 |",1]
["|  | p=1,N8 | p=1,N21 | p=2,N8 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Utilizationu | 0.9 | 1.0 | 0.9 | 1.0 | 0.9 | 1.0 |\n| LPG | 0.88 | 0.89 | 0.91 | 0.87 | 0.50 | 0.52 |\n| TFD | 0.87 | 0.87 | 0.95 | 0.90 | 0.99 | 0.99 |","| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["|  | p=1,N8 | p=1,N21 | p=2,N8 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Utilizationu | 0.9 | 1.0 | 0.9 | 1.0 | 0.9 | 1.0 |\n| LPG | 0.88 | 0.89 | 0.91 | 0.87 | 0.50 | 0.52 |","| TFD | 0.87 | 0.87 | 0.95 | 0.90 | 0.99 | 0.99 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SGPlan | 0.67 | 0.68 | 0.64 | 0.67 | 0.75 | 0.79 |\n| POPF | 0.81 | 0.81 | 0.90 | 0.94 | 0.87 | 0.91 |",1]
["|  | p=1,N8 | p=1,N21 | p=2,N8 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Utilizationu | 0.9 | 1.0 | 0.9 | 1.0 | 0.9 | 1.0 |\n| LPG | 0.88 | 0.89 | 0.91 | 0.87 | 0.50 | 0.52 |","| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 1x1x32 | 95.88 | 111 |\n| 1x1x16 | 95.9 | 106 |","| 1x1x8 | 95.0 | 105 |\n| --- | --- | --- |\n| 1x1x4 | 94.38 | 102 |\n| 1x1x2 | 94.28 | 100 |",1]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 1x1x32 | 95.88 | 111 |\n| 1x1x16 | 95.9 | 106 |","| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 5x5x32 | 98.6 | 114 |\n| 5x5x16 | 98.5 | 110 |\n| 5x5x8 | 98.2 | 107 |\n| 5x5x4 | 97.8 | 109 |\n| 5x5x2 | 97.38 | 108 |",0]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 1x1x32 | 95.88 | 111 |\n| 1x1x16 | 95.9 | 106 |","| 1x1x8 | 95.0 | 105 |\n| --- | --- | --- |\n| 1x1x4 | 94.38 | 102 |\n| 1x1x2 | 94.28 | 100 |",1]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 1x1x32 | 95.88 | 111 |\n| 1x1x16 | 95.9 | 106 |","| 5x5x16 | 98.5 | 110 |\n| --- | --- | --- |\n| 5x5x8 | 98.2 | 107 |\n| 5x5x4 | 97.8 | 109 |\n| 5x5x2 | 97.38 | 108 |",0]
["|  | TraditionalClassiﬁcation | DataStreamClassiﬁcation |\n| --- | --- | --- |\n| Numberofpasses | Multiple | Single |\n| Time | Unlimited | Real-time |\n| Memory | Unlimited | Bounded |","| PresenceofDrift | No | Yes |\n| --- | --- | --- |\n| Results | MoreAccurate | LessAccurate |",1]
["|  | TraditionalClassiﬁcation | DataStreamClassiﬁcation |\n| --- | --- | --- |\n| Numberofpasses | Multiple | Single |\n| Time | Unlimited | Real-time |\n| Memory | Unlimited | Bounded |","| Blocktype<br>&repetition | Input<br>channel | Output<br>channel | Stride | g1 | g2 |\n| --- | --- | --- | --- | --- | --- |\n| Regular3x3conv | 3 | 32 | 2 |  |  |\n| BatchNorm+ReLU |  |  |  |  |  |\n| CLCblock | 32 | 64 | 1 | 16 | 2 |\n| CLCblock | 64 | 128 | 2 | 32 | 2 |\n| CLCblock×a | 128 | 128 | 1 | 64 | 2 |\n| CLCblock | 128 | 256 | 2 | 64 | 2 |\n| CLCblock×b | 256 | 256 | 1 | 128 | 2 |\n| CLCblock | 256 | 512 | 2 | 128 | 2 |\n| CLCblock×c | 512 | 512 | 1 | 256 | 2 |\n| CLCblock | 512 | 1024 | 2 | 256 | 2 |\n| CLCblock×d | 1024 | 1024 | 1 | 512 | 2 |\n| AveragePooling |  |  |  |  |  |\n| FClayer | 1024 | 1000 |  |  |  |",0]
["|  | TraditionalClassiﬁcation | DataStreamClassiﬁcation |\n| --- | --- | --- |\n| Numberofpasses | Multiple | Single |\n| Time | Unlimited | Real-time |","| Memory | Unlimited | Bounded |\n| --- | --- | --- |\n| PresenceofDrift | No | Yes |\n| Results | MoreAccurate | LessAccurate |",1]
["|  | TraditionalClassiﬁcation | DataStreamClassiﬁcation |\n| --- | --- | --- |\n| Numberofpasses | Multiple | Single |\n| Time | Unlimited | Real-time |","| CLCblock×a | 128 | 128 | 1 | 64 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| CLCblock | 128 | 256 | 2 | 64 | 2 |\n| CLCblock×b | 256 | 256 | 1 | 128 | 2 |\n| CLCblock | 256 | 512 | 2 | 128 | 2 |\n| CLCblock×c | 512 | 512 | 1 | 256 | 2 |\n| CLCblock | 512 | 1024 | 2 | 256 | 2 |\n| CLCblock×d | 1024 | 1024 | 1 | 512 | 2 |\n| AveragePooling |  |  |  |  |  |\n| FClayer | 1024 | 1000 |  |  |  |",0]
["| No. | Operations | Description |\n| --- | --- | --- |\n| 1 | LinearAlgebra | Matrix/Vectoroperations,i.e.,addition,subtraction,<br>multiplication |\n| 2 | Sampling | MCMC(i.e.,Gibbssampling),randomsampling |\n| 3 | LogicOperations | AcollectionofHashalgorithms,i.e.,MD5 |","| 4 | TransformOperations | FFT,DCT,WaveletTransform |\n| --- | --- | --- |\n| 5 | SetOperations | Union,intersection,complement |\n| 6 | GraphOperations | Graph-theoreticalcomputations,i.e.,graphtraversal |\n| 7 | Sort | Partialsort,quicksort,topksort |\n| 8 | StatisticOperations | Countoperations |",1]
["| No. | Operations | Description |\n| --- | --- | --- |\n| 1 | LinearAlgebra | Matrix/Vectoroperations,i.e.,addition,subtraction,<br>multiplication |\n| 2 | Sampling | MCMC(i.e.,Gibbssampling),randomsampling |\n| 3 | LogicOperations | AcollectionofHashalgorithms,i.e.,MD5 |","| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| No. | Operations | Description |\n| --- | --- | --- |\n| 1 | LinearAlgebra | Matrix/Vectoroperations,i.e.,addition,subtraction,<br>multiplication |\n| 2 | Sampling | MCMC(i.e.,Gibbssampling),randomsampling |\n| 3 | LogicOperations | AcollectionofHashalgorithms,i.e.,MD5 |","| 4 | TransformOperations | FFT,DCT,WaveletTransform |\n| --- | --- | --- |\n| 5 | SetOperations | Union,intersection,complement |\n| 6 | GraphOperations | Graph-theoreticalcomputations,i.e.,graphtraversal |\n| 7 | Sort | Partialsort,quicksort,topksort |\n| 8 | StatisticOperations | Countoperations |",1]
["| No. | Operations | Description |\n| --- | --- | --- |\n| 1 | LinearAlgebra | Matrix/Vectoroperations,i.e.,addition,subtraction,<br>multiplication |\n| 2 | Sampling | MCMC(i.e.,Gibbssampling),randomsampling |\n| 3 | LogicOperations | AcollectionofHashalgorithms,i.e.,MD5 |","| Interval | Θ(n) | NP-c | open |  |\n| --- | --- | --- | --- | --- |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| Method | NJU2000-TE | NLPR-TE | LFSD | RGBD135 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ |","| PDNet | 0.8503 | 0.0689 | 0.8478 | 0.0491 | 0.8219 | 0.0752 | 0.8805 | 0.0384 | 0.8152 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CTMF17<br>DF17<br>TPF17<br>SE16<br>ACSD15<br>NLPR14<br>DES14 | -<br>-<br>0.7213<br>0.6946<br>0.6747<br>0.6165<br>0.6202 | -<br>-<br>0.1488<br>0.1687<br>0.1939<br>0.1669<br>0.4465 | -<br>-<br>0.7190<br>0.7101<br>0.6019<br>0.5957<br>0.5915 | -<br>-<br>0.0852<br>0.0904<br>0.1624<br>0.1087<br>0.3207 | 0.8025<br>0.8109<br>0.7925<br>0.7568<br>0.7865<br>0.7356<br>0.7254 | 0.0912<br>0.0815<br>0.1058<br>0.1156<br>0.1425<br>0.1547<br>0.2168 | 0.8102<br>0.8059<br>0.7395<br>0.5807<br>0.6851<br>0.4912<br>0.5410 | 0.0653<br>0.6871<br>0.0891<br>0.1253<br>0.1518<br>0.1165<br>0.3079 | 0.7925<br>0.7858<br>0.7541<br>0.6666<br>0.6382<br>0.6415<br>0.5797 |\n| BSCA15<br>LIP15<br>HS16 | 0.6290<br>0.5692<br>0.6090 | 0.2148<br>0.2059<br>0.2516 | 0.5925<br>0.5890<br>0.6003 | 0.1754<br>0.1252<br>0.1909 | 0.7126<br>0.7176<br>0.7248 | 0.1894<br>0.1880<br>0.1751 | 0.5826<br>0.5452<br>0.5361 | 0.1851<br>0.1406<br>0.1849 | 0.5755<br>0.5935<br>0.5716 |",1]
["| Method | NJU2000-TE | NLPR-TE | LFSD | RGBD135 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ |","| Model | NJU2000-TE | NLPR-TE |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| MNet | 0.7610 | 0.0757 | 0.8193 | 0.0874 |\n| PNet | 0.8397 | 0.0800 | 0.7901 | 0.0551 |\n| DNetα=1 | 0.8424 | 0.0728 | 0.8203 | 0.0630 |\n| PDNetα=1 | 0.8503 | 0.0689 | 0.8478 | 0.0491 |\n| PDNetα<1 | 0.8471 | 0.0694 | 0.8409 | 0.0494 |\n| PDNetα>1 | 0.8458 | 0.0698 | 0.8284 | 0.0548 |",0]
["| Method | NJU2000-TE | NLPR-TE | LFSD | RGBD135 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ |","| PDNet | 0.8503 | 0.0689 | 0.8478 | 0.0491 | 0.8219 | 0.0752 | 0.8805 | 0.0384 | 0.8152 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CTMF17<br>DF17<br>TPF17<br>SE16<br>ACSD15<br>NLPR14<br>DES14 | -<br>-<br>0.7213<br>0.6946<br>0.6747<br>0.6165<br>0.6202 | -<br>-<br>0.1488<br>0.1687<br>0.1939<br>0.1669<br>0.4465 | -<br>-<br>0.7190<br>0.7101<br>0.6019<br>0.5957<br>0.5915 | -<br>-<br>0.0852<br>0.0904<br>0.1624<br>0.1087<br>0.3207 | 0.8025<br>0.8109<br>0.7925<br>0.7568<br>0.7865<br>0.7356<br>0.7254 | 0.0912<br>0.0815<br>0.1058<br>0.1156<br>0.1425<br>0.1547<br>0.2168 | 0.8102<br>0.8059<br>0.7395<br>0.5807<br>0.6851<br>0.4912<br>0.5410 | 0.0653<br>0.6871<br>0.0891<br>0.1253<br>0.1518<br>0.1165<br>0.3079 | 0.7925<br>0.7858<br>0.7541<br>0.6666<br>0.6382<br>0.6415<br>0.5797 |\n| BSCA15<br>LIP15<br>HS16 | 0.6290<br>0.5692<br>0.6090 | 0.2148<br>0.2059<br>0.2516 | 0.5925<br>0.5890<br>0.6003 | 0.1754<br>0.1252<br>0.1909 | 0.7126<br>0.7176<br>0.7248 | 0.1894<br>0.1880<br>0.1751 | 0.5826<br>0.5452<br>0.5361 | 0.1851<br>0.1406<br>0.1849 | 0.5755<br>0.5935<br>0.5716 |",1]
["| Method | NJU2000-TE | NLPR-TE | LFSD | RGBD135 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ |","| PNet | 0.8397 | 0.0800 | 0.7901 | 0.0551 |\n| --- | --- | --- | --- | --- |\n| DNetα=1 | 0.8424 | 0.0728 | 0.8203 | 0.0630 |\n| PDNetα=1 | 0.8503 | 0.0689 | 0.8478 | 0.0491 |\n| PDNetα<1 | 0.8471 | 0.0694 | 0.8409 | 0.0494 |\n| PDNetα>1 | 0.8458 | 0.0698 | 0.8284 | 0.0548 |",0]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 66.64 | 68.75 |","| 65.24 | 69.44 |\n| --- | --- |\n| 63.73 | 68.81 |\n| 68.65 | 69.48 |\n| 69.30 | 70.53 |\n| 85.10 | 74.17 |",1]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 66.64 | 68.75 |","| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 62.33 | 66.15 |\n| 66.64 | 68.75 |\n| 68.08 | 68.26 |",0]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 66.64 | 68.75 |\n| 65.24 | 69.44 |\n| 63.73 | 68.81 |","| 68.65 | 69.48 |\n| --- | --- |\n| 69.30 | 70.53 |\n| 85.10 | 74.17 |",1]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 66.64 | 68.75 |\n| 65.24 | 69.44 |\n| 63.73 | 68.81 |","| 62.33 | 66.15 |\n| --- | --- |\n| 66.64 | 68.75 |\n| 68.08 | 68.26 |",0]
["| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |\n| 615 | 245 |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |","| 285 | 155 |\n| --- | --- |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",1]
["| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |\n| 615 | 245 |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |","| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |","| 615 | 245 |\n| --- | --- |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |\n| 285 | 155 |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",1]
["| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |","| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| Precision | 32 | 16 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding1 | 85.01 | 85.01 | 85.12 | 85.17 | 85.34 | 85.12 | 85.61 | 84.68 | 84.29 | 84.18 |\n| conv1d1 | 85.01 | 85.01 | 85.01 | 85.01 | 84.9 | 85.06 | 85.23 | 85.28 | 85.01 | 84.95 |\n| conv1d1a | 85.01 | 85.01 | 85.01 | 85.06 | 85.12 | 85.23 | 85.28 | 85.45 | 85.17 | 84.07 |\n| conv1d2 | 85.01 | 85.01 | 84.95 | 85.01 | 85.06 | 85.01 | 85.17 | 84.9 | 85.34 | 85.12 |","| conv1d2a | 85.01 | 85.01 | 84.95 | 84.95 | 84.95 | 85.01 | 85.01 | 85.28 | 84.84 | 82.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| dense1 | 85.01 | 85.01 | 85.01 | 84.95 | 84.9 | 84.9 | 85.01 | 85.01 | 85.01 | 85.17 |\n| dense1a | 85.01 | 85.01 | 85.06 | 85.06 | 85.12 | 84.9 | 84.84 | 83.42 | 69.91 | 52.33 |\n| dense2 | 85.01 | 85.01 | 84.95 | 85.01 | 85.06 | 85.06 | 84.95 | 85.06 | 85.17 | 84.9 |\n| allplaces | 85.01 | 85.01 | 85.17 | 85.17 | 85.34 | 85.17 | 85.23 | 83.36 | 82.92 | 62.71 |",1]
["| Precision | 32 | 16 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding1 | 85.01 | 85.01 | 85.12 | 85.17 | 85.34 | 85.12 | 85.61 | 84.68 | 84.29 | 84.18 |\n| conv1d1 | 85.01 | 85.01 | 85.01 | 85.01 | 84.9 | 85.06 | 85.23 | 85.28 | 85.01 | 84.95 |\n| conv1d1a | 85.01 | 85.01 | 85.01 | 85.06 | 85.12 | 85.23 | 85.28 | 85.45 | 85.17 | 84.07 |\n| conv1d2 | 85.01 | 85.01 | 84.95 | 85.01 | 85.06 | 85.01 | 85.17 | 84.9 | 85.34 | 85.12 |","| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |\n| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |\n| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |\n| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |\n| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |\n| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |\n| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |\n| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |\n| 9 | 8.90 | 11.78 | 10.92 | 10.25 | 12.28 |\n| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |\n| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",0]
["| Precision | 32 | 16 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding1 | 85.01 | 85.01 | 85.12 | 85.17 | 85.34 | 85.12 | 85.61 | 84.68 | 84.29 | 84.18 |\n| conv1d1 | 85.01 | 85.01 | 85.01 | 85.01 | 84.9 | 85.06 | 85.23 | 85.28 | 85.01 | 84.95 |\n| conv1d1a | 85.01 | 85.01 | 85.01 | 85.06 | 85.12 | 85.23 | 85.28 | 85.45 | 85.17 | 84.07 |","| conv1d2 | 85.01 | 85.01 | 84.95 | 85.01 | 85.06 | 85.01 | 85.17 | 84.9 | 85.34 | 85.12 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| conv1d2a | 85.01 | 85.01 | 84.95 | 84.95 | 84.95 | 85.01 | 85.01 | 85.28 | 84.84 | 82.7 |\n| dense1 | 85.01 | 85.01 | 85.01 | 84.95 | 84.9 | 84.9 | 85.01 | 85.01 | 85.01 | 85.17 |\n| dense1a | 85.01 | 85.01 | 85.06 | 85.06 | 85.12 | 84.9 | 84.84 | 83.42 | 69.91 | 52.33 |\n| dense2 | 85.01 | 85.01 | 84.95 | 85.01 | 85.06 | 85.06 | 84.95 | 85.06 | 85.17 | 84.9 |\n| allplaces | 85.01 | 85.01 | 85.17 | 85.17 | 85.34 | 85.17 | 85.23 | 83.36 | 82.92 | 62.71 |",1]
["| Precision | 32 | 16 | 8 | 7 | 6 | 5 | 4 | 3 | 2 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding1 | 85.01 | 85.01 | 85.12 | 85.17 | 85.34 | 85.12 | 85.61 | 84.68 | 84.29 | 84.18 |\n| conv1d1 | 85.01 | 85.01 | 85.01 | 85.01 | 84.9 | 85.06 | 85.23 | 85.28 | 85.01 | 84.95 |\n| conv1d1a | 85.01 | 85.01 | 85.01 | 85.06 | 85.12 | 85.23 | 85.28 | 85.45 | 85.17 | 84.07 |","| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |\n| --- | --- | --- | --- | --- | --- |\n| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",0]
["| Stage | NTRDesign | ProposedDesign |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| QC | GO | CI | QC | GO | CI |  |\n| Swap | 238 | 19 | 27 | 220 | 0 | 9 |\n| Alignment | 12312 | 2260 | 2022 | 2295 | 388 | 359 |\n| Addition | 166 | 55 | 28 | 166 | 55 | 28 |","| Conversion | 454 | 94 | 94 | 450 | 56 | 55 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Normalization | 2009 | 498 | 484 | 1742 | 313 | 306 |\n| Rounding | 0 | 9 | 0 | 0 | 9 | 0 |\n| Total | 15179 | 2935 | 2655 | 4873 | 824 | 757 |",1]
["| Stage | NTRDesign | ProposedDesign |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| QC | GO | CI | QC | GO | CI |  |\n| Swap | 238 | 19 | 27 | 220 | 0 | 9 |\n| Alignment | 12312 | 2260 | 2022 | 2295 | 388 | 359 |\n| Addition | 166 | 55 | 28 | 166 | 55 | 28 |","| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |\n| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |\n| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| Stage | NTRDesign | ProposedDesign |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| QC | GO | CI | QC | GO | CI |  |\n| Swap | 238 | 19 | 27 | 220 | 0 | 9 |\n| Alignment | 12312 | 2260 | 2022 | 2295 | 388 | 359 |\n| Addition | 166 | 55 | 28 | 166 | 55 | 28 |","| Conversion | 454 | 94 | 94 | 450 | 56 | 55 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Normalization | 2009 | 498 | 484 | 1742 | 313 | 306 |\n| Rounding | 0 | 9 | 0 | 0 | 9 | 0 |\n| Total | 15179 | 2935 | 2655 | 4873 | 824 | 757 |",1]
["| Stage | NTRDesign | ProposedDesign |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| QC | GO | CI | QC | GO | CI |  |\n| Swap | 238 | 19 | 27 | 220 | 0 | 9 |\n| Alignment | 12312 | 2260 | 2022 | 2295 | 388 | 359 |\n| Addition | 166 | 55 | 28 | 166 | 55 | 28 |","| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |\n| --- | --- | --- | --- | --- | --- |\n| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| Category | Detail | Accuracy |\n| --- | --- | --- |\n| Attentiondirection | I←Q<br>I→Q<br>I↔Q* | 60.95<br>62.63<br>62.94 |\n| Memorysize(K) | 1<br>3*<br>5 | 62.53<br>62.94<br>62.83 |","| Number(h)of<br>parallelattention<br>maps | 2<br>4*<br>8 | 62.82<br>62.94<br>62.81 |\n| --- | --- | --- |\n| Number(L)of<br>stackedlayers | 1<br>2<br>3*<br>4 | 62.43<br>62.82<br>62.94<br>62.67 |\n| Attentioninanswer<br>predictionlayer | Attentionused*<br>Avgoffeatures | 62.94<br>61.63 |\n| Attentioninimage<br>extractionlayer | Attentionused*<br>Onlylastconvlayer | 62.94<br>62.39 |",1]
["| Category | Detail | Accuracy |\n| --- | --- | --- |\n| Attentiondirection | I←Q<br>I→Q<br>I↔Q* | 60.95<br>62.63<br>62.94 |\n| Memorysize(K) | 1<br>3*<br>5 | 62.53<br>62.94<br>62.83 |","|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>2<br>1024<br>True(dim300) |\n| Image | imagesize<br>attentionmechanism<br>numberofunitsforattention | 224x224x3<br>spatial<br>512 |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 |",0]
["| Category | Detail | Accuracy |\n| --- | --- | --- |\n| Attentiondirection | I←Q<br>I→Q<br>I↔Q* | 60.95<br>62.63<br>62.94 |\n| Memorysize(K) | 1<br>3*<br>5 | 62.53<br>62.94<br>62.83 |\n| Number(h)of<br>parallelattention<br>maps | 2<br>4*<br>8 | 62.82<br>62.94<br>62.81 |\n| Number(L)of<br>stackedlayers | 1<br>2<br>3*<br>4 | 62.43<br>62.82<br>62.94<br>62.67 |","| Attentioninanswer<br>predictionlayer | Attentionused*<br>Avgoffeatures | 62.94<br>61.63 |\n| --- | --- | --- |\n| Attentioninimage<br>extractionlayer | Attentionused*<br>Onlylastconvlayer | 62.94<br>62.39 |",1]
["| Category | Detail | Accuracy |\n| --- | --- | --- |\n| Attentiondirection | I←Q<br>I→Q<br>I↔Q* | 60.95<br>62.63<br>62.94 |\n| Memorysize(K) | 1<br>3*<br>5 | 62.53<br>62.94<br>62.83 |\n| Number(h)of<br>parallelattention<br>maps | 2<br>4*<br>8 | 62.82<br>62.94<br>62.81 |\n| Number(L)of<br>stackedlayers | 1<br>2<br>3*<br>4 | 62.43<br>62.82<br>62.94<br>62.67 |","| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| --- | --- | --- |\n| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 |",0]
["| Video | Time | Weather | CongestionLevel |\n| --- | --- | --- | --- |\n| 1 | 2015/12/2415:00 | Cloudy | Heavy |","| 2 | 2015/12/2415:00 | Cloudy | Medium |\n| --- | --- | --- | --- |\n| 3 | 2016/5/418:00 | Rainy | Heavy |\n| 4 | 2016/4/3012:00 | Sunny | Sparse |",1]
["| Video | Time | Weather | CongestionLevel |\n| --- | --- | --- | --- |\n| 1 | 2015/12/2415:00 | Cloudy | Heavy |","|  | #ofvideos | Averageframes | Datasetlength |\n| --- | --- | --- | --- |\n| UCSDPed1 | 70 | 201 | 5min |\n| UCSDPed2 | 28 | 163 | 5min |\n| SubwayEntrance | 1 | 121,749 | 1.5hours |\n| SubwaExit | 1 | 64,901 | 1.5hours |\n| Avenue | 37 | 839 | 30min |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",0]
["| Video | Time | Weather | CongestionLevel |\n| --- | --- | --- | --- |\n| 1 | 2015/12/2415:00 | Cloudy | Heavy |\n| 2 | 2015/12/2415:00 | Cloudy | Medium |","| 3 | 2016/5/418:00 | Rainy | Heavy |\n| --- | --- | --- | --- |\n| 4 | 2016/4/3012:00 | Sunny | Sparse |",1]
["| Video | Time | Weather | CongestionLevel |\n| --- | --- | --- | --- |\n| 1 | 2015/12/2415:00 | Cloudy | Heavy |\n| 2 | 2015/12/2415:00 | Cloudy | Medium |","| Avenue | 37 | 839 | 30min |\n| --- | --- | --- | --- |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",0]
["| Method | MAE | ARA |\n| --- | --- | --- |\n| Baseline1 | 13.76 | 0.6412 |","| Baseline2-CCNN | 12.49 | 0.6743 |\n| --- | --- | --- |\n| Baseline2-Hydra | 10.99 | 0.7129 |\n| OPT-RC | 12.41 | 0.6674 |\n| FCN-ST | 5.47 | 0.827 |\n| FCN-MT | 5.31 | 0.856 |",1]
["| Method | MAE | ARA |\n| --- | --- | --- |\n| Baseline1 | 13.76 | 0.6412 |","| Method | Downtown | Parkway |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | ARA | MAE | ARA |  |\n| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |\n| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |\n| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |\n| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |",0]
["| Method | MAE | ARA |\n| --- | --- | --- |\n| Baseline1 | 13.76 | 0.6412 |\n| Baseline2-CCNN | 12.49 | 0.6743 |\n| Baseline2-Hydra | 10.99 | 0.7129 |","| OPT-RC | 12.41 | 0.6674 |\n| --- | --- | --- |\n| FCN-ST | 5.47 | 0.827 |\n| FCN-MT | 5.31 | 0.856 |",1]
["| Method | MAE | ARA |\n| --- | --- | --- |\n| Baseline1 | 13.76 | 0.6412 |\n| Baseline2-CCNN | 12.49 | 0.6743 |\n| Baseline2-Hydra | 10.99 | 0.7129 |","| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |\n| --- | --- | --- | --- | --- |\n| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |\n| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |",0]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 0<br>0<br>0<br>0<br>0<br>0 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 1<br>0<br>1<br>1<br>1<br>1 | 10.888<br>0.000<br>5.469<br>13.409<br>12.889<br>12.769 | 5.449<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 5.439<br>5.449<br>5.469<br>13.409<br>12.889<br>12.769 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=0 | Π=155.119 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |","|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |\n|  | Π=62.15 | Π=61.43 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |\n|  | Π=321.375 | Π=321.368 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |\n|  | Π=354.558 | Π=354.55 |  |  |  |  |  |  |  |  |",0]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 0<br>0<br>0<br>0<br>0<br>0 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 1<br>0<br>1<br>1<br>1<br>1 | 10.888<br>0.000<br>5.469<br>13.409<br>12.889<br>12.769 | 5.449<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 5.439<br>5.449<br>5.469<br>13.409<br>12.889<br>12.769 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=0 | Π=155.119 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |","| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |\n|  | Π=321.375 | Π=321.368 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |\n|  | Π=354.558 | Π=354.55 |  |  |  |  |  |  |  |  |",0]
["| Scheme | Memory(MB) |\n| --- | --- |\n| Batchlearning(consensusupdate,batchK=10) | 1959.58 |\n| Batchlearning(consensusupdate,batchK=20) | 3887.08 |\n| Batchlearning(consensusupdate,batchK=40) | 7742.08 |\n| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |\n| Batchlearning(Papyanetal.,batchK=20) | 3390.24 |\n| Batchlearning(Papyanetal.,batchK=40) | 6566.15 |\n| Ouralgorithm“Online-Samp”in | 158.11 |\n| Algorithm??OptionI(sgd-spatial) | 111.38 |\n| Algorithm??OptionII(sgd-frequency) | 154.84 |","| Algorithm??OptionI(surro-spatial) | 342.90 |\n| --- | --- |\n| Algorithm??OptionII(surro-frequency) | 158.11 |",1]
["| Scheme | Memory(MB) |\n| --- | --- |\n| Batchlearning(consensusupdate,batchK=10) | 1959.58 |\n| Batchlearning(consensusupdate,batchK=20) | 3887.08 |\n| Batchlearning(consensusupdate,batchK=40) | 7742.08 |\n| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |\n| Batchlearning(Papyanetal.,batchK=20) | 3390.24 |\n| Batchlearning(Papyanetal.,batchK=40) | 6566.15 |\n| Ouralgorithm“Online-Samp”in | 158.11 |\n| Algorithm??OptionI(sgd-spatial) | 111.38 |\n| Algorithm??OptionII(sgd-frequency) | 154.84 |","| Schemes | Memory(MB) |\n| --- | --- |\n| Batch(K=10) | 618 |\n| Batch(K=20) | 1197 |\n| Batch(K=50) | 2902 |\n| Online(256×256) | 1213 |\n| Online-Samp.(64×64) | 133 |",0]
["| Scheme | Memory(MB) |\n| --- | --- |\n| Batchlearning(consensusupdate,batchK=10) | 1959.58 |\n| Batchlearning(consensusupdate,batchK=20) | 3887.08 |\n| Batchlearning(consensusupdate,batchK=40) | 7742.08 |\n| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |","| Batchlearning(Papyanetal.,batchK=20) | 3390.24 |\n| --- | --- |\n| Batchlearning(Papyanetal.,batchK=40) | 6566.15 |\n| Ouralgorithm“Online-Samp”in | 158.11 |\n| Algorithm??OptionI(sgd-spatial) | 111.38 |\n| Algorithm??OptionII(sgd-frequency) | 154.84 |\n| Algorithm??OptionI(surro-spatial) | 342.90 |\n| Algorithm??OptionII(surro-frequency) | 158.11 |",1]
["| Scheme | Memory(MB) |\n| --- | --- |\n| Batchlearning(consensusupdate,batchK=10) | 1959.58 |\n| Batchlearning(consensusupdate,batchK=20) | 3887.08 |\n| Batchlearning(consensusupdate,batchK=40) | 7742.08 |\n| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |","| Batch(K=50) | 2902 |\n| --- | --- |\n| Online(256×256) | 1213 |\n| Online-Samp.(64×64) | 133 |",0]
["| Alg. | baby | bird | butterﬂy | head |\n| --- | --- | --- | --- | --- |\n| DWT | 26.61\\0.7971\\33.87 | 29.82\\0.8692\\11.48 | 22.02\\0.7072\\9.93 | 19.82\\0.6501\\8.21 |\n| TV | 30.07\\0.8222\\19.00 | 28.45\\0.8192\\4.07 | 21.65\\0.7481\\3.38 | 30.02\\0.7350\\4.42 |\n| MH | 31.47\\0.8684\\54.58 | 31.74\\0.8947\\20.62 | 22.55\\0.7412\\14.29 | 30.64\\0.7546\\13.61 |\n| CoS | 14044.4431.38\\0.8514\\ | 4688.2831.92\\0.8973\\ | 5095.9425.40\\0.8737\\ | 3548.5731.24\\0.7604\\ |\n| GSR | 32.18\\0.8832\\852.50 | 34.77\\0.9411\\276.54 | 23.78\\0.8279\\215.12 | 31.33\\0.7717\\215.85 |\n| CSNet | 34.83\\0.9170\\0.05 | 35.15\\0.9476\\0.05 | 28.01\\0.9018\\0.04 | 33.26\\0.8208\\0.04 |\n| DWT | 34.67\\0.9207\\24.36 | 36.15\\0.9489\\8.16 | 24.99\\0.7930\\6.74 | 28.00\\0.7955\\4.56 |\n| TV | 32.60\\0.8821\\10.76 | 32.39\\0.9027\\3.37 | 26.86\\0.8848\\2.84 | 31.99\\0.7963\\2.42 |","| MH | 34.80\\0.9223\\39.89 | 36.35\\0.9503\\13.74 | 25.81\\0.8324\\21.60 | 32.98\\0.8224\\17.67 |\n| --- | --- | --- | --- | --- |\n| CoS | 8025.8734.15\\0.9074\\ | 2698.5236.77\\0.9554\\ | 3469.9529.66\\0.9323\\ | 5035.3831.91\\0.8043\\ |\n| GSR | 35.35\\0.9315\\828.85 | 40.03\\0.9764\\264.59 | 29.29\\0.9337\\221.37 | 33.26\\0.8314\\218.75 |\n| CSNet | 37.70\\0.9563\\0.06 | 39.78\\0.9804\\0.02 | 31.79\\0.9523\\0.02 | 35.08\\0.8763\\0.01 |\n| DWT | 36.50\\0.9430\\16.33 | 38.77\\0.9677\\5.65 | 26.62\\0.8247\\4.05 | 33.44\\0.8494\\2.43 |\n| TV | 34.45\\0.9170\\8.26 | 35.06\\0.9392\\2.82 | 30.32\\0.9305\\2.11 | 33.27\\0.8401\\2.00 |\n| MH | 36.50\\0.9430\\29.93 | 38.77\\0.9677\\10.12 | 27.84\\0.8689\\14.87 | 34.28\\0.8596\\10.73 |\n| CoS | 6635.0835.88\\0.9326\\ | 2230.4939.60\\0.9733\\ | 2855.9632.39\\0.9548\\ | 5245.9533.78\\0.8496\\ |\n| GSR | 37.32\\0.9538\\845.79 | 42.84\\0.9861\\272.09 | 33.60\\0.9639\\232.55 | 34.64\\0.8705\\248.28 |\n| CSNet | 39.69\\0.9731\\0.05 | 42.97\\0.9900\\0.02 | 34.25\\0.9703\\0.02 | 36.35\\0.9061\\0.01 |\n| DWT | 37.97\\0.9575\\12.81 | 40.84\\0.9777\\3.76 | 28.17\\0.8528\\4.66 | 35.03\\0.8800\\4.61 |\n| TV | 36.06\\0.9404\\6.76 | 37.56\\0.9615\\2.82 | 33.66\\0.9574\\1.80 | 34.45\\0.8724\\1.67 |\n| MH | 37.97\\0.9575\\29.71 | 40.84\\0.9777\\8.99 | 29.45\\0.8922\\30.80 | 35.31\\0.8866\\19.32 |\n| CoS | 5177.5037.59\\0.9524\\ | 1566.7541.96\\0.9832\\ | 1850.9334.81\\0.9685\\ | 4308.0835.14\\0.8839\\ |\n| GSR | 39.08\\0.9682\\981.18 | 45.12\\0.9910\\460.48 | 36.23\\0.9754\\462.25 | 35.72\\0.8974\\271.72 |\n| CSNet | 41.58\\0.9830\\0.09 | 45.52\\0.9942\\0.03 | 36.48\\0.9801\\0.02 | 37.45\\0.9264\\0.02 |\n| DWT | 39.40\\0.9683\\10.38 | 42.60\\0.9839\\3.11 | 29.76\\0.8794\\2.48 | 36.07\\0.9048\\2.21 |\n| TV | 37.55\\0.9568\\5.90 | 39.66\\0.9742\\1.76 | 36.20\\0.9714\\2.31 | 35.57\\0.9007\\1.89 |\n| MH | 39.40\\0.9683\\29.45 | 42.60\\0.9839\\9.21 | 31.16\\0.9131\\13.35 | 36.35\\0.9104\\10.01 |\n| CoS | 4906.0339.10\\0.9651\\ | 2437.1443.86\\0.9884\\ | 3103.5137.27\\0.9781\\ | 7803.8936.23\\0.9060\\ |\n| GSR | 1010.7340.83\\0.9781\\ | 47.06\\0.9938\\322.31 | 38.62\\0.9826\\259.95 | 36.84\\0.9207\\261.22 |\n| CSNet | 43.00\\0.9879\\0.06 | 46.26\\0.9949\\0.02 | 37.53\\0.9821\\0.01 | 38.28\\0.9386\\0.02 |",1]
["| Alg. | baby | bird | butterﬂy | head |\n| --- | --- | --- | --- | --- |\n| DWT | 26.61\\0.7971\\33.87 | 29.82\\0.8692\\11.48 | 22.02\\0.7072\\9.93 | 19.82\\0.6501\\8.21 |\n| TV | 30.07\\0.8222\\19.00 | 28.45\\0.8192\\4.07 | 21.65\\0.7481\\3.38 | 30.02\\0.7350\\4.42 |\n| MH | 31.47\\0.8684\\54.58 | 31.74\\0.8947\\20.62 | 22.55\\0.7412\\14.29 | 30.64\\0.7546\\13.61 |\n| CoS | 14044.4431.38\\0.8514\\ | 4688.2831.92\\0.8973\\ | 5095.9425.40\\0.8737\\ | 3548.5731.24\\0.7604\\ |\n| GSR | 32.18\\0.8832\\852.50 | 34.77\\0.9411\\276.54 | 23.78\\0.8279\\215.12 | 31.33\\0.7717\\215.85 |\n| CSNet | 34.83\\0.9170\\0.05 | 35.15\\0.9476\\0.05 | 28.01\\0.9018\\0.04 | 33.26\\0.8208\\0.04 |\n| DWT | 34.67\\0.9207\\24.36 | 36.15\\0.9489\\8.16 | 24.99\\0.7930\\6.74 | 28.00\\0.7955\\4.56 |\n| TV | 32.60\\0.8821\\10.76 | 32.39\\0.9027\\3.37 | 26.86\\0.8848\\2.84 | 31.99\\0.7963\\2.42 |","|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 395.82 | 254.49 | 307.9 | 215.35 | 146.35 |\n| Q2 | 181.91 | 165.32 | 160.97 | 150.87 | 144.49 |\n| Q3 | 354.55 | 192.83 | 231.96 | 156.26 | 106.05 |\n| Q4 | 705.96 | 737.82 | 725.21 | 292.48 | 196.56 |\n| Q5 | 178.55 | 161.36 | 168.21 | 167.29 | 147.78 |\n| Q7 | 889.83 | 602.84 | 569.87 | 446.54 | 335.63 |\n| Q8 | 271.94 | 202.84 | 247.64 | 184.74 | 146.29 |\n| Q9 | 615.42 | 457.34 | 349.46 | 259.7 | 137.27 |\n| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",0]
["| Alg. | baby | bird | butterﬂy | head |\n| --- | --- | --- | --- | --- |\n| DWT | 26.61\\0.7971\\33.87 | 29.82\\0.8692\\11.48 | 22.02\\0.7072\\9.93 | 19.82\\0.6501\\8.21 |\n| TV | 30.07\\0.8222\\19.00 | 28.45\\0.8192\\4.07 | 21.65\\0.7481\\3.38 | 30.02\\0.7350\\4.42 |\n| MH | 31.47\\0.8684\\54.58 | 31.74\\0.8947\\20.62 | 22.55\\0.7412\\14.29 | 30.64\\0.7546\\13.61 |\n| CoS | 14044.4431.38\\0.8514\\ | 4688.2831.92\\0.8973\\ | 5095.9425.40\\0.8737\\ | 3548.5731.24\\0.7604\\ |\n| GSR | 32.18\\0.8832\\852.50 | 34.77\\0.9411\\276.54 | 23.78\\0.8279\\215.12 | 31.33\\0.7717\\215.85 |\n| CSNet | 34.83\\0.9170\\0.05 | 35.15\\0.9476\\0.05 | 28.01\\0.9018\\0.04 | 33.26\\0.8208\\0.04 |\n| DWT | 34.67\\0.9207\\24.36 | 36.15\\0.9489\\8.16 | 24.99\\0.7930\\6.74 | 28.00\\0.7955\\4.56 |\n| TV | 32.60\\0.8821\\10.76 | 32.39\\0.9027\\3.37 | 26.86\\0.8848\\2.84 | 31.99\\0.7963\\2.42 |\n| MH | 34.80\\0.9223\\39.89 | 36.35\\0.9503\\13.74 | 25.81\\0.8324\\21.60 | 32.98\\0.8224\\17.67 |","| CoS | 8025.8734.15\\0.9074\\ | 2698.5236.77\\0.9554\\ | 3469.9529.66\\0.9323\\ | 5035.3831.91\\0.8043\\ |\n| --- | --- | --- | --- | --- |\n| GSR | 35.35\\0.9315\\828.85 | 40.03\\0.9764\\264.59 | 29.29\\0.9337\\221.37 | 33.26\\0.8314\\218.75 |\n| CSNet | 37.70\\0.9563\\0.06 | 39.78\\0.9804\\0.02 | 31.79\\0.9523\\0.02 | 35.08\\0.8763\\0.01 |\n| DWT | 36.50\\0.9430\\16.33 | 38.77\\0.9677\\5.65 | 26.62\\0.8247\\4.05 | 33.44\\0.8494\\2.43 |\n| TV | 34.45\\0.9170\\8.26 | 35.06\\0.9392\\2.82 | 30.32\\0.9305\\2.11 | 33.27\\0.8401\\2.00 |\n| MH | 36.50\\0.9430\\29.93 | 38.77\\0.9677\\10.12 | 27.84\\0.8689\\14.87 | 34.28\\0.8596\\10.73 |\n| CoS | 6635.0835.88\\0.9326\\ | 2230.4939.60\\0.9733\\ | 2855.9632.39\\0.9548\\ | 5245.9533.78\\0.8496\\ |\n| GSR | 37.32\\0.9538\\845.79 | 42.84\\0.9861\\272.09 | 33.60\\0.9639\\232.55 | 34.64\\0.8705\\248.28 |\n| CSNet | 39.69\\0.9731\\0.05 | 42.97\\0.9900\\0.02 | 34.25\\0.9703\\0.02 | 36.35\\0.9061\\0.01 |\n| DWT | 37.97\\0.9575\\12.81 | 40.84\\0.9777\\3.76 | 28.17\\0.8528\\4.66 | 35.03\\0.8800\\4.61 |\n| TV | 36.06\\0.9404\\6.76 | 37.56\\0.9615\\2.82 | 33.66\\0.9574\\1.80 | 34.45\\0.8724\\1.67 |\n| MH | 37.97\\0.9575\\29.71 | 40.84\\0.9777\\8.99 | 29.45\\0.8922\\30.80 | 35.31\\0.8866\\19.32 |\n| CoS | 5177.5037.59\\0.9524\\ | 1566.7541.96\\0.9832\\ | 1850.9334.81\\0.9685\\ | 4308.0835.14\\0.8839\\ |\n| GSR | 39.08\\0.9682\\981.18 | 45.12\\0.9910\\460.48 | 36.23\\0.9754\\462.25 | 35.72\\0.8974\\271.72 |\n| CSNet | 41.58\\0.9830\\0.09 | 45.52\\0.9942\\0.03 | 36.48\\0.9801\\0.02 | 37.45\\0.9264\\0.02 |\n| DWT | 39.40\\0.9683\\10.38 | 42.60\\0.9839\\3.11 | 29.76\\0.8794\\2.48 | 36.07\\0.9048\\2.21 |\n| TV | 37.55\\0.9568\\5.90 | 39.66\\0.9742\\1.76 | 36.20\\0.9714\\2.31 | 35.57\\0.9007\\1.89 |\n| MH | 39.40\\0.9683\\29.45 | 42.60\\0.9839\\9.21 | 31.16\\0.9131\\13.35 | 36.35\\0.9104\\10.01 |\n| CoS | 4906.0339.10\\0.9651\\ | 2437.1443.86\\0.9884\\ | 3103.5137.27\\0.9781\\ | 7803.8936.23\\0.9060\\ |\n| GSR | 1010.7340.83\\0.9781\\ | 47.06\\0.9938\\322.31 | 38.62\\0.9826\\259.95 | 36.84\\0.9207\\261.22 |\n| CSNet | 43.00\\0.9879\\0.06 | 46.26\\0.9949\\0.02 | 37.53\\0.9821\\0.01 | 38.28\\0.9386\\0.02 |",1]
["| Alg. | baby | bird | butterﬂy | head |\n| --- | --- | --- | --- | --- |\n| DWT | 26.61\\0.7971\\33.87 | 29.82\\0.8692\\11.48 | 22.02\\0.7072\\9.93 | 19.82\\0.6501\\8.21 |\n| TV | 30.07\\0.8222\\19.00 | 28.45\\0.8192\\4.07 | 21.65\\0.7481\\3.38 | 30.02\\0.7350\\4.42 |\n| MH | 31.47\\0.8684\\54.58 | 31.74\\0.8947\\20.62 | 22.55\\0.7412\\14.29 | 30.64\\0.7546\\13.61 |\n| CoS | 14044.4431.38\\0.8514\\ | 4688.2831.92\\0.8973\\ | 5095.9425.40\\0.8737\\ | 3548.5731.24\\0.7604\\ |\n| GSR | 32.18\\0.8832\\852.50 | 34.77\\0.9411\\276.54 | 23.78\\0.8279\\215.12 | 31.33\\0.7717\\215.85 |\n| CSNet | 34.83\\0.9170\\0.05 | 35.15\\0.9476\\0.05 | 28.01\\0.9018\\0.04 | 33.26\\0.8208\\0.04 |\n| DWT | 34.67\\0.9207\\24.36 | 36.15\\0.9489\\8.16 | 24.99\\0.7930\\6.74 | 28.00\\0.7955\\4.56 |\n| TV | 32.60\\0.8821\\10.76 | 32.39\\0.9027\\3.37 | 26.86\\0.8848\\2.84 | 31.99\\0.7963\\2.42 |\n| MH | 34.80\\0.9223\\39.89 | 36.35\\0.9503\\13.74 | 25.81\\0.8324\\21.60 | 32.98\\0.8224\\17.67 |","| Q9 | 615.42 | 457.34 | 349.46 | 259.7 | 137.27 |\n| --- | --- | --- | --- | --- | --- |\n| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",0]
["| M | {S,behavior} |\n| --- | --- |\n| 0 | {0,stable} |\n| 1 | {0,decreasing} |\n| 2 | {0,chaotic} |\n| 3 | {1,chaotic} |","| 4 | {1,growing} |\n| --- | --- |\n| 5 | {1,stable} |",1]
["| M | {S,behavior} |\n| --- | --- |\n| 0 | {0,stable} |\n| 1 | {0,decreasing} |\n| 2 | {0,chaotic} |\n| 3 | {1,chaotic} |","| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 0<br>s<br>1−s<br>0 |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 0<br>1<br>0<br>0 |",0]
["| M | {S,behavior} |\n| --- | --- |\n| 0 | {0,stable} |","| 1 | {0,decreasing} |\n| --- | --- |\n| 2 | {0,chaotic} |\n| 3 | {1,chaotic} |\n| 4 | {1,growing} |\n| 5 | {1,stable} |",1]
["| M | {S,behavior} |\n| --- | --- |\n| 0 | {0,stable} |","| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 0<br>s<br>1−s<br>0 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 0<br>1<br>0<br>0 |",0]
["| Algorithm | Recall |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Legible | Illegible |  |  |\n|  | Machine | Hand | Machine | Hand |\n| Proposed | 0.3563 | 0.3109 | 0.0297 | 0.0567 |","| Baselinesfrom |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| A | 0.3401 | 0.1511 | 0.0409 | 0.0231 |\n| B | 0.1616 | 0.1096 | 0.0069 | 0.0022 |\n| C | 0.0709 | 0.0463 | 0.0028 | 0.0022 |",1]
["| Algorithm | Recall |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Legible | Illegible |  |  |\n|  | Machine | Hand | Machine | Hand |\n| Proposed | 0.3563 | 0.3109 | 0.0297 | 0.0567 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.4323 | 0.271 | 0.3331 |\n| Baselinesfrom |  |  |  |\n| A | 0.8378 | 0.233 | 0.3648 |\n| B | 0.8973 | 0.107 | 0.1914 |\n| C | 0.1856 | 0.047 | 0.0747 |",0]
["| Algorithm | Recall |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Legible | Illegible |  |  |\n|  | Machine | Hand | Machine | Hand |\n| Proposed | 0.3563 | 0.3109 | 0.0297 | 0.0567 |\n| Baselinesfrom |  |  |  |  |","| A | 0.3401 | 0.1511 | 0.0409 | 0.0231 |\n| --- | --- | --- | --- | --- |\n| B | 0.1616 | 0.1096 | 0.0069 | 0.0022 |\n| C | 0.0709 | 0.0463 | 0.0028 | 0.0022 |",1]
["| Algorithm | Recall |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Legible | Illegible |  |  |\n|  | Machine | Hand | Machine | Hand |\n| Proposed | 0.3563 | 0.3109 | 0.0297 | 0.0567 |\n| Baselinesfrom |  |  |  |  |","| B | 0.8973 | 0.107 | 0.1914 |\n| --- | --- | --- | --- |\n| C | 0.1856 | 0.047 | 0.0747 |",0]
["| Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |","| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",1]
["| Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |","| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |","| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",1]
["| Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |","| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| Character+Actuation | Motion | Performance(NCR) | LearningSpeed(AUC) |\n| --- | --- | --- | --- |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Walk<br>Walk<br>Walk<br>Walk | 0.7662±0.3117<br>0.9520±0.0034<br>0.9524±0.0034<br>0.9584±0.0065 | 0.4788<br>0.6308<br>0.6997<br>0.7165 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | March<br>March<br>March<br>March | 0.9353±0.0072<br>0.9784±0.0018<br>0.9767±0.0068<br>0.9484±0.0021 | 0.7478<br>0.9035<br>0.9136<br>0.5587 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Run<br>Run<br>Run<br>Run | 0.9032±0.0102<br>0.9070±0.0106<br>0.9057±0.0056<br>0.8988±0.0094 | 0.6938<br>0.7301<br>0.7880<br>0.5360 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run(Sim)<br>Run(Sim)<br>Run(Sim)<br>Run(Sim) | 0.7265±0.0037<br>0.9612±0.0055<br>0.9863±0.0017<br>0.9708±0.0023 | 0.5061<br>0.8118<br>0.9282<br>0.6330 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run<br>Run<br>Run<br>Run | 0.6141±0.0091<br>0.8732±0.0037<br>0.9548±0.0010<br>0.9533±0.0015 | 0.3814<br>0.7008<br>0.8372<br>0.7258 |","| Dog+Tor<br>Dog+Vel<br>Dog+PD<br>Dog+MTU | Bound(Sim)<br>Bound(Sim)<br>Bound(Sim)<br>Bound(Sim) | 0.8016±0.0034<br>0.9788±0.0044<br>0.9797±0.0012<br>0.9033±0.0029 | 0.5472<br>0.7862<br>0.9280<br>0.6825 |\n| --- | --- | --- | --- |\n| Dog+Tor<br>Dog+Vel<br>Dog+PD<br>Dog+MTU | Rear-Up<br>Rear-Up<br>Rear-Up<br>Rear-Up | 0.8151±0.0113<br>0.7364±0.2707<br>0.9565±0.0058<br>0.8744±0.2566 | 0.5550<br>0.7454<br>0.8701<br>0.7932 |",1]
["| Character+Actuation | Motion | Performance(NCR) | LearningSpeed(AUC) |\n| --- | --- | --- | --- |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Walk<br>Walk<br>Walk<br>Walk | 0.7662±0.3117<br>0.9520±0.0034<br>0.9524±0.0034<br>0.9584±0.0065 | 0.4788<br>0.6308<br>0.6997<br>0.7165 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | March<br>March<br>March<br>March | 0.9353±0.0072<br>0.9784±0.0018<br>0.9767±0.0068<br>0.9484±0.0021 | 0.7478<br>0.9035<br>0.9136<br>0.5587 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Run<br>Run<br>Run<br>Run | 0.9032±0.0102<br>0.9070±0.0106<br>0.9057±0.0056<br>0.8988±0.0094 | 0.6938<br>0.7301<br>0.7880<br>0.5360 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run(Sim)<br>Run(Sim)<br>Run(Sim)<br>Run(Sim) | 0.7265±0.0037<br>0.9612±0.0055<br>0.9863±0.0017<br>0.9708±0.0023 | 0.5061<br>0.8118<br>0.9282<br>0.6330 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run<br>Run<br>Run<br>Run | 0.6141±0.0091<br>0.8732±0.0037<br>0.9548±0.0010<br>0.9533±0.0015 | 0.3814<br>0.7008<br>0.8372<br>0.7258 |","| MR | CR |\n| --- | --- |\n| 71.11±0.80 | 71.22±1.04 |\n| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |\n| 79.84±1.26 | 83.61±1.60 |\n| MPQA | TREC |\n| 67.93±0.57 | 86.30±1.10 |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",0]
["| Character+Actuation | Motion | Performance(NCR) | LearningSpeed(AUC) |\n| --- | --- | --- | --- |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Walk<br>Walk<br>Walk<br>Walk | 0.7662±0.3117<br>0.9520±0.0034<br>0.9524±0.0034<br>0.9584±0.0065 | 0.4788<br>0.6308<br>0.6997<br>0.7165 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | March<br>March<br>March<br>March | 0.9353±0.0072<br>0.9784±0.0018<br>0.9767±0.0068<br>0.9484±0.0021 | 0.7478<br>0.9035<br>0.9136<br>0.5587 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Run<br>Run<br>Run<br>Run | 0.9032±0.0102<br>0.9070±0.0106<br>0.9057±0.0056<br>0.8988±0.0094 | 0.6938<br>0.7301<br>0.7880<br>0.5360 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run(Sim)<br>Run(Sim)<br>Run(Sim)<br>Run(Sim) | 0.7265±0.0037<br>0.9612±0.0055<br>0.9863±0.0017<br>0.9708±0.0023 | 0.5061<br>0.8118<br>0.9282<br>0.6330 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run<br>Run<br>Run<br>Run | 0.6141±0.0091<br>0.8732±0.0037<br>0.9548±0.0010<br>0.9533±0.0015 | 0.3814<br>0.7008<br>0.8372<br>0.7258 |","| Dog+Tor<br>Dog+Vel<br>Dog+PD<br>Dog+MTU | Bound(Sim)<br>Bound(Sim)<br>Bound(Sim)<br>Bound(Sim) | 0.8016±0.0034<br>0.9788±0.0044<br>0.9797±0.0012<br>0.9033±0.0029 | 0.5472<br>0.7862<br>0.9280<br>0.6825 |\n| --- | --- | --- | --- |\n| Dog+Tor<br>Dog+Vel<br>Dog+PD<br>Dog+MTU | Rear-Up<br>Rear-Up<br>Rear-Up<br>Rear-Up | 0.8151±0.0113<br>0.7364±0.2707<br>0.9565±0.0058<br>0.8744±0.2566 | 0.5550<br>0.7454<br>0.8701<br>0.7932 |",1]
["| Character+Actuation | Motion | Performance(NCR) | LearningSpeed(AUC) |\n| --- | --- | --- | --- |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Walk<br>Walk<br>Walk<br>Walk | 0.7662±0.3117<br>0.9520±0.0034<br>0.9524±0.0034<br>0.9584±0.0065 | 0.4788<br>0.6308<br>0.6997<br>0.7165 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | March<br>March<br>March<br>March | 0.9353±0.0072<br>0.9784±0.0018<br>0.9767±0.0068<br>0.9484±0.0021 | 0.7478<br>0.9035<br>0.9136<br>0.5587 |\n| Biped+Tor<br>Biped+Vel<br>Biped+PD<br>Biped+MTU | Run<br>Run<br>Run<br>Run | 0.9032±0.0102<br>0.9070±0.0106<br>0.9057±0.0056<br>0.8988±0.0094 | 0.6938<br>0.7301<br>0.7880<br>0.5360 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run(Sim)<br>Run(Sim)<br>Run(Sim)<br>Run(Sim) | 0.7265±0.0037<br>0.9612±0.0055<br>0.9863±0.0017<br>0.9708±0.0023 | 0.5061<br>0.8118<br>0.9282<br>0.6330 |\n| Raptor+Tor<br>Raptor+Vel<br>Raptor+PD<br>Raptor+MTU | Run<br>Run<br>Run<br>Run | 0.6141±0.0091<br>0.8732±0.0037<br>0.9548±0.0010<br>0.9533±0.0015 | 0.3814<br>0.7008<br>0.8372<br>0.7258 |","| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |\n| --- | --- |\n| 79.84±1.26 | 83.61±1.60 |\n| MPQA | TREC |\n| 67.93±0.57 | 86.30±1.10 |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",0]
["| P1 | P2 | P3 |\n| --- | --- | --- |\n| a=011 | b=11 | c=011 |\n| a=021 | b=21 | c=21 |\n| a=022 | b=022 | c=022 |\n| a=023 | b=023 | c=023 |","| a=031 | b=031 | c=031 |\n| --- | --- | --- |\n| a=032 | b=132 | c=032 |\n| a=33 | b=33 | c=033 |\n| a=034 | b=034 | c=134 |\n| a=041 | b=141 | c=141 |",1]
["| P1 | P2 | P3 |\n| --- | --- | --- |\n| a=011 | b=11 | c=011 |\n| a=021 | b=21 | c=21 |\n| a=022 | b=022 | c=022 |\n| a=023 | b=023 | c=023 |","| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| P1 | P2 | P3 |\n| --- | --- | --- |\n| a=011 | b=11 | c=011 |\n| a=021 | b=21 | c=21 |\n| a=022 | b=022 | c=022 |\n| a=023 | b=023 | c=023 |\n| a=031 | b=031 | c=031 |","| a=032 | b=132 | c=032 |\n| --- | --- | --- |\n| a=33 | b=33 | c=033 |\n| a=034 | b=034 | c=134 |\n| a=041 | b=141 | c=141 |",1]
["| P1 | P2 | P3 |\n| --- | --- | --- |\n| a=011 | b=11 | c=011 |\n| a=021 | b=21 | c=21 |\n| a=022 | b=022 | c=022 |\n| a=023 | b=023 | c=023 |\n| a=031 | b=031 | c=031 |","| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| --- | --- | --- | --- | --- | --- | --- |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 |","| 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 14.4 | 13.6 | 14.7 | 20.2 | 17.7 | 6.5 | 9.7 | 14.4 | 5.8 |\n| 19.1 | 17.1 | 15.4 | 20.7 | 18.6 | 7.1 | 15.7 | 22.3 | 6.7 |",1]
["| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 |","| 7.1 | 6.3 | 4.2 | 6.2 | 3.1 | 2.6 | 4.9 | 6.8 | 2.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.3 | 5.5 | 9.9 | 12.2 | 132.8 | 2.8 | 4.9 | 6.5 | 2.6 |\n| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |\n| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |\n| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 |",0]
["| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 |\n| 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 |","| 14.4 | 13.6 | 14.7 | 20.2 | 17.7 | 6.5 | 9.7 | 14.4 | 5.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 19.1 | 17.1 | 15.4 | 20.7 | 18.6 | 7.1 | 15.7 | 22.3 | 6.7 |",1]
["| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 |\n| 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 |","| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |\n| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |\n| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 |",0]
["| System | Models | R-1 | R-2 | R-SU4 | Coherence |\n| --- | --- | --- | --- | --- | --- |\n| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 |\n| GreedyKL | 37.98 | 8.53 | 13.25 | 0.46 |  |","| State-of-the-art | Submodular | 39.18 | 9.35 | 14.22 | 0.51 |\n| --- | --- | --- | --- | --- | --- |\n| ICSISumm | 38.41 | 9.78 | 13.31 | 0.44 |  |\n| ProposedSystem | ILPRankSumm | 39.45 | 10.12 | 14.09 | 0.68 |",1]
["| System | Models | R-1 | R-2 | R-SU4 | Coherence |\n| --- | --- | --- | --- | --- | --- |\n| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 |\n| GreedyKL | 37.98 | 8.53 | 13.25 | 0.46 |  |","| Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |\n| --- | --- | --- | --- |\n| Ours | 1 | 6.71 | 1.79 |\n| Ours | 2 | 6.74 | 1.73 |\n| Ours | 4 | 6.82 | 1.81 |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |\n| Slow | 4 | 6.38 | 1.39 |\n| VAE | 1 | 1.08 | 1.27 |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",0]
["| System | Models | R-1 | R-2 | R-SU4 | Coherence |\n| --- | --- | --- | --- | --- | --- |\n| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 |","| GreedyKL | 37.98 | 8.53 | 13.25 | 0.46 |  |\n| --- | --- | --- | --- | --- | --- |\n| State-of-the-art | Submodular | 39.18 | 9.35 | 14.22 | 0.51 |\n| ICSISumm | 38.41 | 9.78 | 13.31 | 0.44 |  |\n| ProposedSystem | ILPRankSumm | 39.45 | 10.12 | 14.09 | 0.68 |",1]
["| System | Models | R-1 | R-2 | R-SU4 | Coherence |\n| --- | --- | --- | --- | --- | --- |\n| Baseline | LexRank | 35.95 | 7.47 | 12.48 | 0.39 |","| Ours | 2 | 6.74 | 1.73 |\n| --- | --- | --- | --- |\n| Ours | 4 | 6.82 | 1.81 |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |\n| Slow | 4 | 6.38 | 1.39 |\n| VAE | 1 | 1.08 | 1.27 |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",0]
["| DBGEN(3d) |  |\n| --- | --- |\n| #ofblocks | sortfusionindexingtotalsize |\n| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 |","| Netﬂix(3d) |  |\n| --- | --- |\n| 1(completesort)<br>5<br>10<br>500<br>nosorting | 487-5581045129<br>360855721017264<br>32687575986318<br>23086601917806<br>--6896891552 |",1]
["| DBGEN(3d) |  |\n| --- | --- |\n| #ofblocks | sortfusionindexingtotalsize |\n| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| DBGEN(3d) |  |\n| --- | --- |\n| #ofblocks | sortfusionindexingtotalsize |\n| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 |","| Netﬂix(3d) |  |\n| --- | --- |\n| 1(completesort)<br>5<br>10<br>500<br>nosorting | 487-5581045129<br>360855721017264<br>32687575986318<br>23086601917806<br>--6896891552 |",1]
["| DBGEN(3d) |  |\n| --- | --- |\n| #ofblocks | sortfusionindexingtotalsize |\n| 1(completesort)<br>5<br>10<br>500<br>nosorting | 31-659639<br>282689851<br>243709958<br>17387107116<br>--100100119 |","| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| --- | --- | --- |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| SPP-CNN |  |  |  |\n| --- | --- | --- | --- |\n| Baseline | Raw | SVMclass. | bboxregress. |","| 3DSlidingWindow<br>Random2DWindows | 31.30<br>30.97 | 21.11<br>18.00 | 33.53<br>24.63 |\n| --- | --- | --- | --- |\n| SelectiveSearch<br>EdgeBoxes | 31.40<br>31.29 | 33.50<br>35.12 | 43.50<br>39.63 |\n| CC-Pairwise<br>CC-HOR<br>CC-HOR-Elongation | 36.37<br>37.68<br>36.25 | 21.44<br>34.20<br>34.30 | 31.19<br>48.19<br>48.40 |\n| RelaxedNMSDetector | 34.40 | 42.77 | 48.27 |",1]
["| SPP-CNN |  |  |  |\n| --- | --- | --- | --- |\n| Baseline | Raw | SVMclass. | bboxregress. |","| Accuracy |  |  |\n| --- | --- | --- |\n| Pred.Events | GTEvents |  |\n| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |\n| Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- |\n| Ours | 0.765 | 0.793 |",0]
["| SPP-CNN |  |  |  |\n| --- | --- | --- | --- |\n| Baseline | Raw | SVMclass. | bboxregress. |\n| 3DSlidingWindow<br>Random2DWindows | 31.30<br>30.97 | 21.11<br>18.00 | 33.53<br>24.63 |","| SelectiveSearch<br>EdgeBoxes | 31.40<br>31.29 | 33.50<br>35.12 | 43.50<br>39.63 |\n| --- | --- | --- | --- |\n| CC-Pairwise<br>CC-HOR<br>CC-HOR-Elongation | 36.37<br>37.68<br>36.25 | 21.44<br>34.20<br>34.30 | 31.19<br>48.19<br>48.40 |\n| RelaxedNMSDetector | 34.40 | 42.77 | 48.27 |",1]
["| SPP-CNN |  |  |  |\n| --- | --- | --- | --- |\n| Baseline | Raw | SVMclass. | bboxregress. |\n| 3DSlidingWindow<br>Random2DWindows | 31.30<br>30.97 | 21.11<br>18.00 | 33.53<br>24.63 |","| Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- |\n| --- | --- | --- |\n| Ours | 0.765 | 0.793 |",0]
["| ElementsinNetworkUserBehaviorModeling |\n| --- |\n| User |\n| TupleofDomains/Locations/Time |","| ValueforTuple(TotalBytes/Duration/RequestNumbers) |\n| --- |\n| UserClustering |",1]
["| ElementsinNetworkUserBehaviorModeling |\n| --- |\n| User |\n| TupleofDomains/Locations/Time |","| Parameter | Value | Meaning |\n| --- | --- | --- |\n| maxDerTriples | int | max.numberoftriples<br>allowedineachdereferencing |\n| saveGraph | boolean | Savethegraphsdereferenced |\n| maxSize | int | traﬃclimit(inMBs) |\n| timeoutDer | long | connectiontime-out |\n| timeout | long | totaltime-out |\n| domains | List¡String¿ | trustedservers |",0]
["| ElementsinNetworkUserBehaviorModeling |\n| --- |\n| User |\n| TupleofDomains/Locations/Time |","| ValueforTuple(TotalBytes/Duration/RequestNumbers) |\n| --- |\n| UserClustering |",1]
["| ElementsinNetworkUserBehaviorModeling |\n| --- |\n| User |\n| TupleofDomains/Locations/Time |","| timeoutDer | long | connectiontime-out |\n| --- | --- | --- |\n| timeout | long | totaltime-out |\n| domains | List¡String¿ | trustedservers |",0]
["| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |\n| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |\n| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 |\n| frb30-15-1<br>(sat) | random<br>lexico | 39,7<br>10,5 | 52,8<br>42 | 27,5<br>13,2 | 120,9<br>66,4 | 132,4<br>295,6 | 123,6<br>375,6 | 32,3<br>20,5 | 28,2<br>15,6 |","| langford-4-10<br>(unsat) | random<br>lexico | 61,2<br>65,9 | 229,8<br>238,2 | 75,4<br>101,2 | 155,7<br>183,4 | 255,7<br>289,3 | 249,6<br>301,1 | 280,5<br>106,7 | 83,8<br>70,3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cc-12-12-2<br>(unsat) | random<br>lexico | 55,6<br>50,7 | 74,5<br>67,6 | 82,4<br>79,3 | 51,2<br>65 | 423,9<br>523,6 | 437,2<br>555,6 | 55,8<br>49,1 | 54,8<br>54,3 |\n| ash958GPIA-4<br>(sat) | random<br>lexico | 5,3<br>12,8 | 35,6<br>36,8 | 242,2<br>299,2 | 106,6<br>111,4 | 515,4<br>>1h | 450,1<br>>1h | 3,8<br>11,6 | 3,9<br>1,2 |",1]
["| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |\n| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |\n| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 |\n| frb30-15-1<br>(sat) | random<br>lexico | 39,7<br>10,5 | 52,8<br>42 | 27,5<br>13,2 | 120,9<br>66,4 | 132,4<br>295,6 | 123,6<br>375,6 | 32,3<br>20,5 | 28,2<br>15,6 |","| Instance | restart<br>policy | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11<br>(sat) | norestart<br>arithmetic<br>geometric | 42,5<br>8<br>5,5 | 102,2<br>109,5<br>118,1 | 148,3<br>142,7<br>141,2 | >1h<br>29<br>29,3 | >1h<br>211,3<br>210,6 | >1h<br>218,3<br>224,8 | 112,4<br>4<br>4 | 41,3<br>4,5<br>4,3 |\n| scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |\n| aim-200-1-6<br>(unsat) | norestart<br>arithmetic<br>geometric | 4,8<br>81,4<br>1,9 | 1,5<br>150,3<br>3,2 | 4,7<br>212,7<br>5,3 | 2,3<br>124,8<br>105,9 | 2,8<br>9,4<br>4,8 | 3,1<br>9,2<br>8,5 | 0,28<br>0,39<br>0,19 | 0,31<br>0,27<br>0,23 |\n| ehi-85-297-0<br>(unsat) | norestart<br>arithmetic<br>geometric | 17,1<br>2<br>2,1 | 90,4<br>102,2<br>94,2 | 7,1<br>2,8<br>2,7 | 11,8<br>12,8<br>11,7 | 12,2<br>12,4<br>12,1 | 12,4<br>12,3<br>12 | 0,16<br>0,15<br>0,15 | 1,9<br>1,18<br>1,2 |\n| frb30-15-1<br>(sat) | norestart<br>arithmetic<br>geometric | 3,2<br>15,9<br>10,5 | 30,1<br>149,2<br>42 | 3,6<br>15,1<br>13,2 | 152,6<br>303,9<br>66,4 | 215,1<br>626,1<br>295,6 | 201,5<br>532,5<br>375,6 | 7,1<br>184,3<br>20,5 | 3,8<br>201,2<br>15,6 |\n| langford-4-10<br>(unsat) | norestart<br>arithmetic<br>geometric | 16,2<br>521,1<br>65,9 | 193,7<br>749,7<br>238,2 | 24,6<br>557,2<br>101,2 | 59,1<br>2579<br>183,4 | 74,6<br>904,1<br>289,3 | 79,3<br>1293<br>301,1 | 24,1<br>1011<br>106,7 | 20,8<br>744,9<br>70,3 |\n| cc-12-12-2<br>(unsat) | norestart<br>arithmetic<br>geometric | 17<br>2939<br>50,7 | 27,6<br>1976<br>67,6 | 25,4<br>>1h<br>79,3 | 16,4<br>>1h<br>65 | 115,9<br>>1h<br>523,6 | 98,2<br>>1h<br>555,6 | 17,9<br>2501<br>49,1 | 17,2<br>2589<br>54,3 |\n| ash958GPIA-4<br>(sat) | norestart<br>arithmetic<br>geometric | 10,4<br>13<br>12,8 | 35,6<br>36,2<br>36,8 | 162,2<br>310,2<br>299,2 | 383,7<br>118,3<br>111,4 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | 6,3<br>14<br>11,6 | 6,4<br>10,7<br>1,2 |",0]
["| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |\n| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |\n| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 |","| frb30-15-1<br>(sat) | random<br>lexico | 39,7<br>10,5 | 52,8<br>42 | 27,5<br>13,2 | 120,9<br>66,4 | 132,4<br>295,6 | 123,6<br>375,6 | 32,3<br>20,5 | 28,2<br>15,6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| langford-4-10<br>(unsat) | random<br>lexico | 61,2<br>65,9 | 229,8<br>238,2 | 75,4<br>101,2 | 155,7<br>183,4 | 255,7<br>289,3 | 249,6<br>301,1 | 280,5<br>106,7 | 83,8<br>70,3 |\n| cc-12-12-2<br>(unsat) | random<br>lexico | 55,6<br>50,7 | 74,5<br>67,6 | 82,4<br>79,3 | 51,2<br>65 | 423,9<br>523,6 | 437,2<br>555,6 | 55,8<br>49,1 | 54,8<br>54,3 |\n| ash958GPIA-4<br>(sat) | random<br>lexico | 5,3<br>12,8 | 35,6<br>36,8 | 242,2<br>299,2 | 106,6<br>111,4 | 515,4<br>>1h | 450,1<br>>1h | 3,8<br>11,6 | 3,9<br>1,2 |",1]
["| Instance | value<br>ordering | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11-f7<br>(unsat) | random<br>lexico | 161<br>133,7 | 232,5<br>189,9 | 191,3<br>211,2 | >1h<br>>1h | >1h<br>>1h | >1h<br>>1h | 157,2<br>130,6 | 178,9<br>137,7 |\n| aim-200-1-6<br>(unsat) | random<br>lexico | 2,3<br>1,9 | 2,3<br>3,2 | 6,2<br>5,3 | 11,9<br>105,9 | 6,4<br>4,8 | 6,1<br>8,5 | 0,18<br>0,19 | 0,23<br>0,23 |\n| ehi-85-297-0<br>(unsat) | random<br>lexico | 1,3<br>2,1 | 3,5<br>94,2 | 5,1<br>2,7 | 11,4<br>11,7 | 11,8<br>12,1 | 11,9<br>12 | 0,16<br>0,15 | 0,8<br>1,2 |","| scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| aim-200-1-6<br>(unsat) | norestart<br>arithmetic<br>geometric | 4,8<br>81,4<br>1,9 | 1,5<br>150,3<br>3,2 | 4,7<br>212,7<br>5,3 | 2,3<br>124,8<br>105,9 | 2,8<br>9,4<br>4,8 | 3,1<br>9,2<br>8,5 | 0,28<br>0,39<br>0,19 | 0,31<br>0,27<br>0,23 |\n| ehi-85-297-0<br>(unsat) | norestart<br>arithmetic<br>geometric | 17,1<br>2<br>2,1 | 90,4<br>102,2<br>94,2 | 7,1<br>2,8<br>2,7 | 11,8<br>12,8<br>11,7 | 12,2<br>12,4<br>12,1 | 12,4<br>12,3<br>12 | 0,16<br>0,15<br>0,15 | 1,9<br>1,18<br>1,2 |\n| frb30-15-1<br>(sat) | norestart<br>arithmetic<br>geometric | 3,2<br>15,9<br>10,5 | 30,1<br>149,2<br>42 | 3,6<br>15,1<br>13,2 | 152,6<br>303,9<br>66,4 | 215,1<br>626,1<br>295,6 | 201,5<br>532,5<br>375,6 | 7,1<br>184,3<br>20,5 | 3,8<br>201,2<br>15,6 |\n| langford-4-10<br>(unsat) | norestart<br>arithmetic<br>geometric | 16,2<br>521,1<br>65,9 | 193,7<br>749,7<br>238,2 | 24,6<br>557,2<br>101,2 | 59,1<br>2579<br>183,4 | 74,6<br>904,1<br>289,3 | 79,3<br>1293<br>301,1 | 24,1<br>1011<br>106,7 | 20,8<br>744,9<br>70,3 |\n| cc-12-12-2<br>(unsat) | norestart<br>arithmetic<br>geometric | 17<br>2939<br>50,7 | 27,6<br>1976<br>67,6 | 25,4<br>>1h<br>79,3 | 16,4<br>>1h<br>65 | 115,9<br>>1h<br>523,6 | 98,2<br>>1h<br>555,6 | 17,9<br>2501<br>49,1 | 17,2<br>2589<br>54,3 |\n| ash958GPIA-4<br>(sat) | norestart<br>arithmetic<br>geometric | 10,4<br>13<br>12,8 | 35,6<br>36,2<br>36,8 | 162,2<br>310,2<br>299,2 | 383,7<br>118,3<br>111,4 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | 6,3<br>14<br>11,6 | 6,4<br>10,7<br>1,2 |",0]
["| patientname | age | id | trestbps | chol | thalach |\n| --- | --- | --- | --- | --- | --- |\n| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |\n| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) |","| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| --- | --- | --- | --- | --- | --- |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",1]
["| patientname | age | id | trestbps | chol | thalach |\n| --- | --- | --- | --- | --- | --- |\n| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |\n| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) |","| PatientID | GrayMatter | WhiteMatter |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | C-0 | C-1 | C-2 | C-3 | C-4 | C-5 | C-6 | C-7 | C-8 |\n| B1 | 74,486 | 900 | 247 | 3,428 | 570 | 358 | 120 | 274 | 111 |\n| B2 | 75,384 | 462 | 868 | 1,937 | 374 | 246 | 497 | 107 | 125 |\n| B3 | 74,834 | 525 | 782 | 2,225 | 788 | 116 | 618 | 46 | 66 |",0]
["| patientname | age | id | trestbps | chol | thalach |\n| --- | --- | --- | --- | --- | --- |\n| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |","| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) |\n| --- | --- | --- | --- | --- | --- |\n| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",1]
["| patientname | age | id | trestbps | chol | thalach |\n| --- | --- | --- | --- | --- | --- |\n| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |","| B1 | 74,486 | 900 | 247 | 3,428 | 570 | 358 | 120 | 274 | 111 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B2 | 75,384 | 462 | 868 | 1,937 | 374 | 246 | 497 | 107 | 125 |\n| B3 | 74,834 | 525 | 782 | 2,225 | 788 | 116 | 618 | 46 | 66 |",0]
["| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |\n| --- | --- | --- | --- | --- | --- |\n| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |\n| 1/2 | 1577 | 1307 | 1016 | 776 |  |\n| 4096 | 1/3 | 5134 | 4239 | 3640 | 3003 |","| 1/2 | 6585 | 4984 | 4399 | 3501 |  |\n| --- | --- | --- | --- | --- | --- |\n| 16384 | 1/3 | 21717 | 17230 | 15879 | 13461 |\n| 1/2 | 27357 | 19839 | 18763 | 15305 |  |",1]
["| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |\n| --- | --- | --- | --- | --- | --- |\n| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |\n| 1/2 | 1577 | 1307 | 1016 | 776 |  |\n| 4096 | 1/3 | 5134 | 4239 | 3640 | 3003 |","| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |\n| 349 | 1 |\n| 446 | 2 |\n| 307 | 1 |\n| 1472 | 142 |\n| 332 | 1 |\n| 941 | 81 |\n| 646 | 39 |\n| 1922 | 201 |\n| 623 | 38 |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",0]
["| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |\n| --- | --- | --- | --- | --- | --- |\n| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |\n| 1/2 | 1577 | 1307 | 1016 | 776 |  |","| 4096 | 1/3 | 5134 | 4239 | 3640 | 3003 |\n| --- | --- | --- | --- | --- | --- |\n| 1/2 | 6585 | 4984 | 4399 | 3501 |  |\n| 16384 | 1/3 | 21717 | 17230 | 15879 | 13461 |\n| 1/2 | 27357 | 19839 | 18763 | 15305 |  |",1]
["| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |\n| --- | --- | --- | --- | --- | --- |\n| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |\n| 1/2 | 1577 | 1307 | 1016 | 776 |  |","| 403 | 17 |\n| --- | --- |\n| 1615 | 186 |",0]
["| 3.813 | 4.856 |\n| --- | --- |\n| 4.960 | 5.494 |","| 4.587 | 5.116 |\n| --- | --- |\n| 4.813 | 5.255 |\n| 7.609 | 9.448 |\n| 4.533 | 4.550 |\n| 5.573 | 6.151 |",1]
["| 3.813 | 4.856 |\n| --- | --- |\n| 4.960 | 5.494 |","| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| 3.813 | 4.856 |\n| --- | --- |\n| 4.960 | 5.494 |","| 4.587 | 5.116 |\n| --- | --- |\n| 4.813 | 5.255 |\n| 7.609 | 9.448 |\n| 4.533 | 4.550 |\n| 5.573 | 6.151 |",1]
["| 3.813 | 4.856 |\n| --- | --- |\n| 4.960 | 5.494 |","| - | - | 0.847 |\n| --- | --- | --- |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| Algorithm | NAUC |  |\n| --- | --- | --- |\n| FAR=0.001 | FAR=1 |  |\n| MI-SMF | 0.998 | 1.000 |","| MI-ACE | 1.000 | 1.000 |\n| --- | --- | --- |\n| eFUMI | 0.998 | 1.000 |\n| EMDD | 0.210 | 0.772 |\n| EMDD-P | 0.776 | 0.987 |\n| DMIL | 0.798 | 0.991 |\n| mi-SVM | 0.671 | 0.989 |",1]
["| Algorithm | NAUC |  |\n| --- | --- | --- |\n| FAR=0.001 | FAR=1 |  |\n| MI-SMF | 0.998 | 1.000 |","| Model/Algorithm | MNIST | Caltech101 | US-CT |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | DC | mIoU | DC | mIoU | DC | mIoU |\n| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |\n| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |\n| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",0]
["| Algorithm | NAUC |  |\n| --- | --- | --- |\n| FAR=0.001 | FAR=1 |  |\n| MI-SMF | 0.998 | 1.000 |","| MI-ACE | 1.000 | 1.000 |\n| --- | --- | --- |\n| eFUMI | 0.998 | 1.000 |\n| EMDD | 0.210 | 0.772 |\n| EMDD-P | 0.776 | 0.987 |\n| DMIL | 0.798 | 0.991 |\n| mi-SVM | 0.671 | 0.989 |",1]
["| Algorithm | NAUC |  |\n| --- | --- | --- |\n| FAR=0.001 | FAR=1 |  |\n| MI-SMF | 0.998 | 1.000 |","| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |\n| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",0]
["| σ | Dataset:waterfall |  |  |  |\n| --- | --- | --- | --- | --- |\n| ReLD | VBM3D | MLP | PCP-LD |  |\n| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |\n| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |\n| σ | NCRPCA-LD | GRASTA-LD |  |  |\n| 50 | 30.48(128.35) | 25.33(58.23) |  |  |\n| 70 | 27.97(133.53) | 21.89(55.45) |  |  |\n| σ | Dataset:fountain |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 30.53(15.82) | 26.55(5.24) | 18.53(109.79) | 18.55(3.13×10) |\n| 70 | 27.53(15.03) | 22.08(4.69) | 14.85(107.52) | 16.25(3.19×10) |\n| σ | Dataset:escalator |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 27.84(16.03) | 25.10(5.27) | 18.83(109.40) | 17.98(3.21×10) |\n| 70 | 25.15(15.28) | 20.20(4.72) | 15.20(108.78) | 15.90(3.18×10) |\n| σ | Dataset:curtain |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 31.91(17.17) | 30.29(4.42) | 18.58(188.30) | 19.12(7.86×10) |\n| 70 | 28.10(16.50) | 26.15(3.85) | 14.73(192.00) | 16.68(8.30×10) |\n| σ | Dataset:lobby |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |","| 50 | 35.15(58.41) | 29.23(19.35) | 18.66(403.59) | 18.21(3.99×10) |\n| --- | --- | --- | --- | --- |\n| 70 | 29.68(56.51) | 24.90(17.00) | 14.85(401.29) | 16.82(4.09×10) |",1]
["| σ | Dataset:waterfall |  |  |  |\n| --- | --- | --- | --- | --- |\n| ReLD | VBM3D | MLP | PCP-LD |  |\n| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |\n| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |\n| σ | NCRPCA-LD | GRASTA-LD |  |  |\n| 50 | 30.48(128.35) | 25.33(58.23) |  |  |\n| 70 | 27.97(133.53) | 21.89(55.45) |  |  |\n| σ | Dataset:fountain |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 30.53(15.82) | 26.55(5.24) | 18.53(109.79) | 18.55(3.13×10) |\n| 70 | 27.53(15.03) | 22.08(4.69) | 14.85(107.52) | 16.25(3.19×10) |\n| σ | Dataset:escalator |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 27.84(16.03) | 25.10(5.27) | 18.83(109.40) | 17.98(3.21×10) |\n| 70 | 25.15(15.28) | 20.20(4.72) | 15.20(108.78) | 15.90(3.18×10) |\n| σ | Dataset:curtain |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 31.91(17.17) | 30.29(4.42) | 18.58(188.30) | 19.12(7.86×10) |\n| 70 | 28.10(16.50) | 26.15(3.85) | 14.73(192.00) | 16.68(8.30×10) |\n| σ | Dataset:lobby |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |","| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |\n| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |\n| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",0]
["| σ | Dataset:waterfall |  |  |  |\n| --- | --- | --- | --- | --- |\n| ReLD | VBM3D | MLP | PCP-LD |  |\n| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |\n| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |\n| σ | NCRPCA-LD | GRASTA-LD |  |  |\n| 50 | 30.48(128.35) | 25.33(58.23) |  |  |","| 70 | 27.97(133.53) | 21.89(55.45) |  |  |\n| --- | --- | --- | --- | --- |\n| σ | Dataset:fountain |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 30.53(15.82) | 26.55(5.24) | 18.53(109.79) | 18.55(3.13×10) |\n| 70 | 27.53(15.03) | 22.08(4.69) | 14.85(107.52) | 16.25(3.19×10) |\n| σ | Dataset:escalator |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 27.84(16.03) | 25.10(5.27) | 18.83(109.40) | 17.98(3.21×10) |\n| 70 | 25.15(15.28) | 20.20(4.72) | 15.20(108.78) | 15.90(3.18×10) |\n| σ | Dataset:curtain |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 31.91(17.17) | 30.29(4.42) | 18.58(188.30) | 19.12(7.86×10) |\n| 70 | 28.10(16.50) | 26.15(3.85) | 14.73(192.00) | 16.68(8.30×10) |\n| σ | Dataset:lobby |  |  |  |\n| ReLD | VBM3D | MLP | SLMA |  |\n| 50 | 35.15(58.41) | 29.23(19.35) | 18.66(403.59) | 18.21(3.99×10) |\n| 70 | 29.68(56.51) | 24.90(17.00) | 14.85(401.29) | 16.82(4.09×10) |",1]
["| σ | Dataset:waterfall |  |  |  |\n| --- | --- | --- | --- | --- |\n| ReLD | VBM3D | MLP | PCP-LD |  |\n| 50 | 33.08(73.14) | 27.99(24.14) | 18.87(477.60) | 32.93(195.77) |\n| 70 | 29.25(69.77) | 24.42(21.01) | 15.03(478.73) | 29.17(197.94) |\n| σ | NCRPCA-LD | GRASTA-LD |  |  |\n| 50 | 30.48(128.35) | 25.33(58.23) |  |  |","| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |\n| --- | --- | --- | --- | --- |\n| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",0]
["| Projectname | From | To | Days | Commits |\n| --- | --- | --- | --- | --- |\n| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |\n| Convalot | 09/12/10 | 06/25/11 | 286 | 406 |","| Milkyway | 07/31/08 | 12/14/11 | 1231 | 2436 |\n| --- | --- | --- | --- | --- |\n| MobileNotiﬁer | 09/11/10 | 10/17/11 | 401 | 450 |\n| Notebook | 11/18/10 | 04/06/11 | 139 | 326 |\n| RPIDirectory | 08/31/11 | 09/30/11 | 30 | 193 |\n| ShuttleTracking | 08/02/09 | 11/04/11 | 824 | 207 |\n| YACS | 09/14/11 | 12/14/11 | 91 | 273 |",1]
["| Projectname | From | To | Days | Commits |\n| --- | --- | --- | --- | --- |\n| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |\n| Convalot | 09/12/10 | 06/25/11 | 286 | 406 |","| Projectname | Duration |\n| --- | --- |\n| Briefcase | 3hr5min |\n| Convalot | 4hr1min |\n| Milkyway | 4hr55min |\n| MobileNotiﬁer | 4hr2min |\n| Notebook | 6hr17min |\n| RPIDirectory | 7hr29min |\n| ShuttleTracking | 2hr2min |\n| YACS | 3hr32min |",0]
["| Projectname | From | To | Days | Commits |\n| --- | --- | --- | --- | --- |\n| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |\n| Convalot | 09/12/10 | 06/25/11 | 286 | 406 |\n| Milkyway | 07/31/08 | 12/14/11 | 1231 | 2436 |\n| MobileNotiﬁer | 09/11/10 | 10/17/11 | 401 | 450 |","| Notebook | 11/18/10 | 04/06/11 | 139 | 326 |\n| --- | --- | --- | --- | --- |\n| RPIDirectory | 08/31/11 | 09/30/11 | 30 | 193 |\n| ShuttleTracking | 08/02/09 | 11/04/11 | 824 | 207 |\n| YACS | 09/14/11 | 12/14/11 | 91 | 273 |",1]
["| Projectname | From | To | Days | Commits |\n| --- | --- | --- | --- | --- |\n| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |\n| Convalot | 09/12/10 | 06/25/11 | 286 | 406 |\n| Milkyway | 07/31/08 | 12/14/11 | 1231 | 2436 |\n| MobileNotiﬁer | 09/11/10 | 10/17/11 | 401 | 450 |","| ShuttleTracking | 2hr2min |\n| --- | --- |\n| YACS | 3hr32min |",0]
["|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |","| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |\n| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |\n| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",1]
["|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |","| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |\n| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |\n| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |\n| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |\n| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |\n| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |","| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |\n| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",1]
["|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |\n| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |","| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["| Models | BLEU | Perplexity |\n| --- | --- | --- |\n| N-gram | 0.0 | 280.5 |\n| Seq2Seq | 1.82 | 12.64 |","| HRED | 6.14 | 13.82 |\n| --- | --- | --- |\n| AWI | 9.29 | 11.52 |",1]
["| Models | BLEU | Perplexity |\n| --- | --- | --- |\n| N-gram | 0.0 | 280.5 |\n| Seq2Seq | 1.82 | 12.64 |","| Model | Time(inhours) |\n| --- | --- |\n| Huangetal | 168 |\n| MSSG50d | 1 |\n| MSSG-300d | 6 |\n| NP-MSSG-50d | 1.83 |\n| NP-MSSG-300d | 5 |\n| Skip-gram-50d | 0.33 |\n| Skip-gram-300d | 1.5 |",0]
["| Models | BLEU | Perplexity |\n| --- | --- | --- |\n| N-gram | 0.0 | 280.5 |\n| Seq2Seq | 1.82 | 12.64 |","| HRED | 6.14 | 13.82 |\n| --- | --- | --- |\n| AWI | 9.29 | 11.52 |",1]
["| Models | BLEU | Perplexity |\n| --- | --- | --- |\n| N-gram | 0.0 | 280.5 |\n| Seq2Seq | 1.82 | 12.64 |","| MSSG-300d | 6 |\n| --- | --- |\n| NP-MSSG-50d | 1.83 |\n| NP-MSSG-300d | 5 |\n| Skip-gram-50d | 0.33 |\n| Skip-gram-300d | 1.5 |",0]
["| type | abbreviation |\n| --- | --- |\n| Hammingembedding |  |\n| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |\n| minimizingdiﬀerencesbetweendistances<br>minimizingdiﬀerencesbetweensimilarities<br>minimizingdiﬀerencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |\n| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classiﬁcationerror | HL<br>ROL<br>TL<br>CE |\n| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM |","| Quantization |  |\n| --- | --- |\n| bitallocation<br>quantizationerror<br>equalvariance<br>maximumcosinesimilarity | BA<br>QE<br>EV<br>MCS |",1]
["| type | abbreviation |\n| --- | --- |\n| Hammingembedding |  |\n| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |\n| minimizingdiﬀerencesbetweendistances<br>minimizingdiﬀerencesbetweensimilarities<br>minimizingdiﬀerencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |\n| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classiﬁcationerror | HL<br>ROL<br>TL<br>CE |\n| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM |","| type | abbreviation |\n| --- | --- |\n| Hammingdistance<br>normalizedHammingdistance<br>asymmetricHammingdistance<br>weightedHammingdistance<br>query-dependentweightedHammingdistance<br>normalizedHammingaﬃnity | HD<br>NHD<br>AHD<br>WHD<br>QWHD<br>NHA |\n| Manhattan | MD |\n| asymmetricEuclideandistance<br>symmetricEuclideandistance | AED<br>SED |\n| lowerbound | LB |",0]
["| type | abbreviation |\n| --- | --- |\n| Hammingembedding |  |\n| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |\n| minimizingdiﬀerencesbetweendistances<br>minimizingdiﬀerencesbetweensimilarities<br>minimizingdiﬀerencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |\n| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classiﬁcationerror | HL<br>ROL<br>TL<br>CE |\n| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM |","| Quantization |  |\n| --- | --- |\n| bitallocation<br>quantizationerror<br>equalvariance<br>maximumcosinesimilarity | BA<br>QE<br>EV<br>MCS |",1]
["| type | abbreviation |\n| --- | --- |\n| Hammingembedding |  |\n| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |\n| minimizingdiﬀerencesbetweendistances<br>minimizingdiﬀerencesbetweensimilarities<br>minimizingdiﬀerencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |\n| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classiﬁcationerror | HL<br>ROL<br>TL<br>CE |\n| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM |","| Manhattan | MD |\n| --- | --- |\n| asymmetricEuclideandistance<br>symmetricEuclideandistance | AED<br>SED |\n| lowerbound | LB |",0]
["| Feature | WER |\n| --- | --- |\n| MelFB | 21.9 |","| VTLN-warpedmelFB | 21.3 |\n| --- | --- |\n| VTLN-warpedmelFB+fMLLR | 21.2 |\n| VTLN-warpedmelFB+d+dd | 20.7 |\n| VTLN-warpedmelFB+d+dd+energy | 21.0 |",1]
["| Feature | WER |\n| --- | --- |\n| MelFB | 21.9 |","| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |\n| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| Feature | WER |\n| --- | --- |\n| MelFB | 21.9 |\n| VTLN-warpedmelFB | 21.3 |","| VTLN-warpedmelFB+fMLLR | 21.2 |\n| --- | --- |\n| VTLN-warpedmelFB+d+dd | 20.7 |\n| VTLN-warpedmelFB+d+dd+energy | 21.0 |",1]
["| Feature | WER |\n| --- | --- |\n| MelFB | 21.9 |\n| VTLN-warpedmelFB | 21.3 |","| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| Dataset | Label | P | R | F1 |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 |","| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",1]
["| Dataset | Label | P | R | F1 |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 |","| Dataset | Label | P | R |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove |  |  |\n| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |\n| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |\n| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |\n| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |\n| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |\n| T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |\n| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |\n| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 |",0]
["| Dataset | Label | P | R | F1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 |  |  |\n| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |","| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",1]
["| Dataset | Label | P | R | F1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 |  |  |\n| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |","| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |\n| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |\n| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 5000 | 25000 | 15000 |\n| 45000 | 25000 | 10000 | 5000 |\n| 50000 | 15000 | 20000 | 30000 |\n| 70000 | 35000 | 5000 | 10000 |\n| 150000 | 20000 | 30000 | 80000 |\n| 180000 | 100000 | 50000 | 70000 |","| 200000 | 80000 | 40000 | 60000 |\n| --- | --- | --- | --- |\n| 450000 | 150000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 5000 | 25000 | 15000 |\n| 45000 | 25000 | 10000 | 5000 |\n| 50000 | 15000 | 20000 | 30000 |\n| 70000 | 35000 | 5000 | 10000 |\n| 150000 | 20000 | 30000 | 80000 |\n| 180000 | 100000 | 50000 | 70000 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 5000 | 10000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 450000 | 100000 | 20000 | 30000 |\n| 180000 | 80000 | 25000 | 15000 |\n| 45000 | 25000 | 30000 | 80000 |\n| 50000 | 5000 | 40000 | 60000 |\n| 200000 | 20000 | 50000 | 70000 |\n| 70000 | 35000 | 200000 | 100000 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 5000 | 25000 | 15000 |\n| 45000 | 25000 | 10000 | 5000 |\n| 50000 | 15000 | 20000 | 30000 |\n| 70000 | 35000 | 5000 | 10000 |","| 150000 | 20000 | 30000 | 80000 |\n| --- | --- | --- | --- |\n| 180000 | 100000 | 50000 | 70000 |\n| 200000 | 80000 | 40000 | 60000 |\n| 450000 | 150000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 5000 | 25000 | 15000 |\n| 45000 | 25000 | 10000 | 5000 |\n| 50000 | 15000 | 20000 | 30000 |\n| 70000 | 35000 | 5000 | 10000 |","| 45000 | 25000 | 30000 | 80000 |\n| --- | --- | --- | --- |\n| 50000 | 5000 | 40000 | 60000 |\n| 200000 | 20000 | 50000 | 70000 |\n| 70000 | 35000 | 200000 | 100000 |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv |  |\n| 2 | 15Y2TmHrxjmRFxfNUttwb9aU4DifvDpWKM |  |\n| 3 | 1JthvnK8aoieXpx8YCAEtQwhfZSjSkdNox |  |","| 4 | 1L2jriaKw39jZysdH7nhe6eMSLSPNHvvHx |  |\n| --- | --- | --- |\n| 5 | 1GQf1kEFK3SmVw8AMjRcn7jX1mvrGSDTkK |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv |  |\n| 2 | 15Y2TmHrxjmRFxfNUttwb9aU4DifvDpWKM |  |\n| 3 | 1JthvnK8aoieXpx8YCAEtQwhfZSjSkdNox |  |","| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1HqoNfpAJFMy9E36DBSk1ktPQ9o9fn2RxX |  |\n| 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB |  |\n| 3 | 1GaVKrVT17DN4dnWbTqGB9qG3rQrk1JBe9 |  |\n| 4 | 1MZsTFUNMGxQxz38wWm8CtBoycW7VD5z7v |  |\n| 5 | 1DGqEKZJdCd4YftWPuK5Z1HFBdeyz9RNDU |  |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv |  |","| 2 | 15Y2TmHrxjmRFxfNUttwb9aU4DifvDpWKM |  |\n| --- | --- | --- |\n| 3 | 1JthvnK8aoieXpx8YCAEtQwhfZSjSkdNox |  |\n| 4 | 1L2jriaKw39jZysdH7nhe6eMSLSPNHvvHx |  |\n| 5 | 1GQf1kEFK3SmVw8AMjRcn7jX1mvrGSDTkK |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv |  |","| 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB |  |\n| --- | --- | --- |\n| 3 | 1GaVKrVT17DN4dnWbTqGB9qG3rQrk1JBe9 |  |\n| 4 | 1MZsTFUNMGxQxz38wWm8CtBoycW7VD5z7v |  |\n| 5 | 1DGqEKZJdCd4YftWPuK5Z1HFBdeyz9RNDU |  |",0]
["| #Params |\n| --- |\n| 13,413,440 |","| 21,667,716 |\n| --- |\n| 9,878,617 |\n| 7,419,481 |",1]
["| #Params |\n| --- |\n| 13,413,440 |","| 12626 | 84 |\n| --- | --- |\n| 8799 | 122 |\n| 12488 | 87 |\n| 8799 | 94 |\n| 12488 | 150 |\n| 12625 | 44 |\n| 12626 | 110 |",0]
["| #Params |\n| --- |\n| 13,413,440 |","| 21,667,716 |\n| --- |\n| 9,878,617 |\n| 7,419,481 |",1]
["| #Params |\n| --- |\n| 13,413,440 |","| 12488 | 150 |\n| --- | --- |\n| 12625 | 44 |\n| 12626 | 110 |",0]
["| Dataset | Input | Relevance | Readability |\n| --- | --- | --- | --- |\n| MSCOCO | GroundTruth | 3.38 | 4.68 |","|  | SystemOutput | 3.0 | 3.84 |\n| --- | --- | --- | --- |\n| Quora | GroundTruth | 4.82 | 4.94 |\n|  | SystemOutput | 3.57 | 4.08 |",1]
["| Dataset | Input | Relevance | Readability |\n| --- | --- | --- | --- |\n| MSCOCO | GroundTruth | 3.38 | 4.68 |","| Dataset | IntrinsicDimension |\n| --- | --- |\n| MNIST | 16 |\n| CIFAR-10 | 17 |\n| SAT-6 | 115 |\n| HaralickFeaturesextractedfromSAT-6 | 4.2 |",0]
["| Dataset | Input | Relevance | Readability |\n| --- | --- | --- | --- |\n| MSCOCO | GroundTruth | 3.38 | 4.68 |","|  | SystemOutput | 3.0 | 3.84 |\n| --- | --- | --- | --- |\n| Quora | GroundTruth | 4.82 | 4.94 |\n|  | SystemOutput | 3.57 | 4.08 |",1]
["| Dataset | Input | Relevance | Readability |\n| --- | --- | --- | --- |\n| MSCOCO | GroundTruth | 3.38 | 4.68 |","| SAT-6 | 115 |\n| --- | --- |\n| HaralickFeaturesextractedfromSAT-6 | 4.2 |",0]
["|  | LPBA40 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | Dice | Sensitivity | Speciﬁcity | Dice | Sensitivity |\n| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |\n| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |\n| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |\n| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |\n| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |\n| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |","| Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |\n| --- | --- | --- | --- | --- | --- |\n| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |\n| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) |",1]
["|  | LPBA40 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | Dice | Sensitivity | Speciﬁcity | Dice | Sensitivity |\n| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |\n| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |\n| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |\n| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |\n| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |\n| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |","| Method | Dice | Sensitivity | Speciﬁcity |\n| --- | --- | --- | --- |\n| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |\n| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |\n| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |\n| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |\n| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |\n| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) |",0]
["|  | LPBA40 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | Dice | Sensitivity | Speciﬁcity | Dice | Sensitivity |\n| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |\n| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |\n| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |\n| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |\n| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |","| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |\n| --- | --- | --- | --- | --- | --- |\n| Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |\n| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |\n| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) |",1]
["|  | LPBA40 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | Dice | Sensitivity | Speciﬁcity | Dice | Sensitivity |\n| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |\n| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |\n| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |\n| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |\n| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |","| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |\n| --- | --- | --- | --- |\n| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |\n| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |\n| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |\n| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) |",0]
["| Target | Task |\n| --- | --- |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |","| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| --- | --- |\n| Krt8 | D7<br>D4 |\n| Krt18 | D7<br>D4 |\n| GrayJay | June<br>April |",1]
["| Target | Task |\n| --- | --- |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |","|  | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |\n| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 |\n| Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |\n| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 |",0]
["| Target | Task |\n| --- | --- |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |","| Krt8 | D7<br>D4 |\n| --- | --- |\n| Krt18 | D7<br>D4 |\n| GrayJay | June<br>April |",1]
["| Target | Task |\n| --- | --- |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |\n| ﬁltering<br>y2 | d=2<br>d=5<br>d=10 |\n| smoothing<br>y2 | d=2<br>d=5<br>d=10 |","| Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |\n| --- | --- | --- | --- | --- | --- |\n| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 |",0]
["| Events | AUC(F)64 | AUC([F,M])6464 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.668 |","| Children’sVoices | 0.678 | 0.723 |\n| --- | --- | --- |\n| Clanking | 0.714 | 0.859 |\n| Clapping | 0.646 | 0.680 |\n| Drums | 0.60 | 0.639 |\n| EngineNoise | 0.623 | 0.575 |\n| Hammering | 0.557 | 0.660 |\n| Laughing | 0.527 | 0.641 |\n| MarchingBand | 0.551 | 0.745 |\n| Scraping | 0.723 | 0.744 |\n| Mean | 0.625 | 0.693 |",1]
["| Events | AUC(F)64 | AUC([F,M])6464 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.668 |","| Events | AUC(F)64 | AUC(F)128 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.638 |\n| Children’sVoices | 0.678 | 0.633 |\n| Clanking | 0.714 | 0.744 |\n| Clapping | 0.646 | 0.667 |\n| Drums | 0.60 | 0.636 |\n| EngineNoise | 0.623 | 0.642 |\n| Hammering | 0.557 | 0.587 |\n| Laughing | 0.527 | 0.540 |\n| MarchingBand | 0.551 | 0.554 |\n| Scraping | 0.723 | 0.735 |\n| Mean | 0.625 | 0.637 |",0]
["| Events | AUC(F)64 | AUC([F,M])6464 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.668 |\n| Children’sVoices | 0.678 | 0.723 |\n| Clanking | 0.714 | 0.859 |\n| Clapping | 0.646 | 0.680 |\n| Drums | 0.60 | 0.639 |\n| EngineNoise | 0.623 | 0.575 |\n| Hammering | 0.557 | 0.660 |","| Laughing | 0.527 | 0.641 |\n| --- | --- | --- |\n| MarchingBand | 0.551 | 0.745 |\n| Scraping | 0.723 | 0.744 |\n| Mean | 0.625 | 0.693 |",1]
["| Events | AUC(F)64 | AUC([F,M])6464 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.668 |\n| Children’sVoices | 0.678 | 0.723 |\n| Clanking | 0.714 | 0.859 |\n| Clapping | 0.646 | 0.680 |\n| Drums | 0.60 | 0.639 |\n| EngineNoise | 0.623 | 0.575 |\n| Hammering | 0.557 | 0.660 |","| MarchingBand | 0.551 | 0.554 |\n| --- | --- | --- |\n| Scraping | 0.723 | 0.735 |\n| Mean | 0.625 | 0.637 |",0]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |","| Non-transfer(D=1,000)i | 0.7 | 0.966 | 0.709 | 0.8 | 0.857 |\n| --- | --- | --- | --- | --- | --- |\n| CIFAR-10(D=188)i | 0.657 | 0.889 | 0.568 | 0.708 | 0.806 |\n| CIFAR-10(D=500)i | 0.923 | 0.912 | 0.804 | 0.857 | 0.918 |\n| CIFAR-10(D=1,000)i | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| MNIST(D=188)i | 0.778 | 0.968 | 0.780 | 0.849 | 0.898 |\n| MNIST(D=500)i | 0.839 | 0.940 | 0.786 | 0.852 | 0.908 |\n| MNIST(D=1,000)i | 0.828 | 0.913 | 0.735 | 0.813 | 0.888 |\n| 2-DEimage(D=188)i | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| 2-DEimage(D=500)i | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| 2-DEimage(D=1,000)i | 0.824 | 0.969 | 0.818 | 0.875 | 0.918 |",1]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |","|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| PCA+logisticregression | 0.875 | 0.805 | 0.545 | 0.609 | 0.816 |\n| Non-transfer(L=1) | 0.725 | 0.983 | 0.755 | 0.829 | 0.878 |\n| Non-transfer(L=2) | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(L=3) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| Non-transfer(L=4) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| SSL(L=1) | 0.682 | 1 | 0.736 | 0.811 | 0.857 |\n| SSL(L=2) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| SSL(L=3) | 0.592 | 0.980 | 0.620 | 0.734 | 0.786 |\n| SSL(L=4) | 0.558 | 0.978 | 0.580 | 0.707 | 0.755 |\n| Oquabetal.(L=1) | 0.732 | 1 | 0.783 | 0.845 | 0.888 |\n| Oquabetal.(L=2) | 0.771 | 0.952 | 0.753 | 0.831 | 0.888 |\n| Oquabetal.(L=3) | 0.702 | 0.934 | 0.670 | 0.776 | 0.847 |\n| Oquabetal.(L=4) | 0.658 | 0.947 | 0.648 | 0.761 | 0.827 |\n| Agrawaletal.(L=1) | 0.750 | 1 | 0.800 | 0.857 | 0.898 |\n| Agrawaletal.(L=2) | 0.744 | 0.983 | 0.796 | 0.841 | 0.888 |\n| Agrawaletal.(L=3) | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| Agrawaletal.(L=4) | 0.667 | 1 | 0.720 | 0.8 | 0.847 |\n| ATDL(L=1) | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| ATDL(L=2) | 0.871 | 0.955 | 0.834 | 0.885 | 0.929 |\n| ATDL(L=3) | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| ATDL(L=4) | 0.958 | 0.905 | 0.806 | 0.852 | 0.918 |",0]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| Non-transfer(D=1,000)i | 0.7 | 0.966 | 0.709 | 0.8 | 0.857 |\n| CIFAR-10(D=188)i | 0.657 | 0.889 | 0.568 | 0.708 | 0.806 |\n| CIFAR-10(D=500)i | 0.923 | 0.912 | 0.804 | 0.857 | 0.918 |\n| CIFAR-10(D=1,000)i | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| MNIST(D=188)i | 0.778 | 0.968 | 0.780 | 0.849 | 0.898 |","| MNIST(D=500)i | 0.839 | 0.940 | 0.786 | 0.852 | 0.908 |\n| --- | --- | --- | --- | --- | --- |\n| MNIST(D=1,000)i | 0.828 | 0.913 | 0.735 | 0.813 | 0.888 |\n| 2-DEimage(D=188)i | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| 2-DEimage(D=500)i | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| 2-DEimage(D=1,000)i | 0.824 | 0.969 | 0.818 | 0.875 | 0.918 |",1]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| Non-transfer(D=1,000)i | 0.7 | 0.966 | 0.709 | 0.8 | 0.857 |\n| CIFAR-10(D=188)i | 0.657 | 0.889 | 0.568 | 0.708 | 0.806 |\n| CIFAR-10(D=500)i | 0.923 | 0.912 | 0.804 | 0.857 | 0.918 |\n| CIFAR-10(D=1,000)i | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| MNIST(D=188)i | 0.778 | 0.968 | 0.780 | 0.849 | 0.898 |","| Oquabetal.(L=4) | 0.658 | 0.947 | 0.648 | 0.761 | 0.827 |\n| --- | --- | --- | --- | --- | --- |\n| Agrawaletal.(L=1) | 0.750 | 1 | 0.800 | 0.857 | 0.898 |\n| Agrawaletal.(L=2) | 0.744 | 0.983 | 0.796 | 0.841 | 0.888 |\n| Agrawaletal.(L=3) | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| Agrawaletal.(L=4) | 0.667 | 1 | 0.720 | 0.8 | 0.847 |\n| ATDL(L=1) | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| ATDL(L=2) | 0.871 | 0.955 | 0.834 | 0.885 | 0.929 |\n| ATDL(L=3) | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| ATDL(L=4) | 0.958 | 0.905 | 0.806 | 0.852 | 0.918 |",0]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 15-18 | 8,936 | 211,727 |\n| Develop | N/A | N/A | N/A |","| Test | 20 | 2,012 | 47,377 |\n| --- | --- | --- | --- |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",1]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 15-18 | 8,936 | 211,727 |\n| Develop | N/A | N/A | N/A |","| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 0-18 | 38,219 | 912,344 |\n| Develop | 19-21 | 5,527 | 131,768 |\n| Test | 22-24 | 5,462 | 129,654 |\n| #oftagtypes | 45 |  |  |",0]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 15-18 | 8,936 | 211,727 |","| Develop | N/A | N/A | N/A |\n| --- | --- | --- | --- |\n| Test | 20 | 2,012 | 47,377 |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",1]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 15-18 | 8,936 | 211,727 |","| Test | 22-24 | 5,462 | 129,654 |\n| --- | --- | --- | --- |\n| #oftagtypes | 45 |  |  |",0]
["|  | Throughput |  |  |\n| --- | --- | --- | --- |\n| (Client-Server) | Host-Network | LinuxBridge | OpenvSwitch |\n| Host-Host | 35.71Gbpsσ=0.32 | - | - |","| Container-Host | 35.13Gbpsσ=0.48 | 15.82Gbpsσ=0.36 | 16.01Gbpsσ=0.47 |\n| --- | --- | --- | --- |\n| Host-Container | 34.96Gbpsσ=0.63 | 15.96Gbpsσ=0.51 | 16.86Gbpsσ=0.35 |\n| Virtualmachine-Host | - | 8.64Gbpsσ=0.28 | 7.94Gbpsσ=0.69 |\n| Host-Virtualmachine | - | 9.24Gbpsσ=0.27 | 8.77Gbpsσ=0.55 |",1]
["|  | Throughput |  |  |\n| --- | --- | --- | --- |\n| (Client-Server) | Host-Network | LinuxBridge | OpenvSwitch |\n| Host-Host | 35.71Gbpsσ=0.32 | - | - |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["|  | Throughput |  |  |\n| --- | --- | --- | --- |\n| (Client-Server) | Host-Network | LinuxBridge | OpenvSwitch |\n| Host-Host | 35.71Gbpsσ=0.32 | - | - |\n| Container-Host | 35.13Gbpsσ=0.48 | 15.82Gbpsσ=0.36 | 16.01Gbpsσ=0.47 |","| Host-Container | 34.96Gbpsσ=0.63 | 15.96Gbpsσ=0.51 | 16.86Gbpsσ=0.35 |\n| --- | --- | --- | --- |\n| Virtualmachine-Host | - | 8.64Gbpsσ=0.28 | 7.94Gbpsσ=0.69 |\n| Host-Virtualmachine | - | 9.24Gbpsσ=0.27 | 8.77Gbpsσ=0.55 |",1]
["|  | Throughput |  |  |\n| --- | --- | --- | --- |\n| (Client-Server) | Host-Network | LinuxBridge | OpenvSwitch |\n| Host-Host | 35.71Gbpsσ=0.32 | - | - |\n| Container-Host | 35.13Gbpsσ=0.48 | 15.82Gbpsσ=0.36 | 16.01Gbpsσ=0.47 |","| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| --- | --- | --- | --- |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Method | EdgeCost | EP1 | EP2 | EP3 | EP4 | EP5 | EP6 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1NN | Euc | 66.9 | 63.5 | 58.5 | 65.4 | 73.5 | 70.0 | 66.3 |\n| AVG | Euc | 75.1 | 74.0 | 70.9 | 76.8 | 82.8 | 84.5 | 77.3 |\n| TopTen | Euc | 93.4 | 90.3 | 66.9 | 92.5 | 90.7 | 94.5 | 88.0 |\n| TopTen | NC | 95.2 | 93.8 | 69.7 | 92.2 | 92.0 | 94.0 | 89.4 |\n| HSL(Our) | Euc | 94.7 | 94.3 | 56.4 | 93.4 | 91.6 | 94.6 | 87.5 |","| HSL(Our) | NC | 95.9 | 94.9 | 72.6 | 91.9 | 91.9 | 94.6 | 90.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HCSL(Our) | NC | 95.5 | 95.1 | 88.8 | 93.2 | 91.6 | 94.3 | 93.0 |",1]
["| Method | EdgeCost | EP1 | EP2 | EP3 | EP4 | EP5 | EP6 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1NN | Euc | 66.9 | 63.5 | 58.5 | 65.4 | 73.5 | 70.0 | 66.3 |\n| AVG | Euc | 75.1 | 74.0 | 70.9 | 76.8 | 82.8 | 84.5 | 77.3 |\n| TopTen | Euc | 93.4 | 90.3 | 66.9 | 92.5 | 90.7 | 94.5 | 88.0 |\n| TopTen | NC | 95.2 | 93.8 | 69.7 | 92.2 | 92.0 | 94.0 | 89.4 |\n| HSL(Our) | Euc | 94.7 | 94.3 | 56.4 | 93.4 | 91.6 | 94.6 | 87.5 |","| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |\n| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Method | EdgeCost | EP1 | EP2 | EP3 | EP4 | EP5 | EP6 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1NN | Euc | 66.9 | 63.5 | 58.5 | 65.4 | 73.5 | 70.0 | 66.3 |\n| AVG | Euc | 75.1 | 74.0 | 70.9 | 76.8 | 82.8 | 84.5 | 77.3 |\n| TopTen | Euc | 93.4 | 90.3 | 66.9 | 92.5 | 90.7 | 94.5 | 88.0 |\n| TopTen | NC | 95.2 | 93.8 | 69.7 | 92.2 | 92.0 | 94.0 | 89.4 |","| HSL(Our) | Euc | 94.7 | 94.3 | 56.4 | 93.4 | 91.6 | 94.6 | 87.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HSL(Our) | NC | 95.9 | 94.9 | 72.6 | 91.9 | 91.9 | 94.6 | 90.3 |\n| HCSL(Our) | NC | 95.5 | 95.1 | 88.8 | 93.2 | 91.6 | 94.3 | 93.0 |",1]
["| Method | EdgeCost | EP1 | EP2 | EP3 | EP4 | EP5 | EP6 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1NN | Euc | 66.9 | 63.5 | 58.5 | 65.4 | 73.5 | 70.0 | 66.3 |\n| AVG | Euc | 75.1 | 74.0 | 70.9 | 76.8 | 82.8 | 84.5 | 77.3 |\n| TopTen | Euc | 93.4 | 90.3 | 66.9 | 92.5 | 90.7 | 94.5 | 88.0 |\n| TopTen | NC | 95.2 | 93.8 | 69.7 | 92.2 | 92.0 | 94.0 | 89.4 |","| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Benign |  |  |\n| --- | --- | --- |\n| Min. | Max. | Min. |\n| 43 | 57 | 44 |\n| 3,020 | 26,924 | 3,020 |\n| 941 | 8,387 | 939 |","| 941 | 14,040 | 941 |\n| --- | --- | --- |\n| 0.3 | 110 | 0.3 |\n| 2.9 | 737 | 2.9 |\n| 4 | 1,116 | 4 |\n| 0.4 | 1,434 | 0.4 |",1]
["| Benign |  |  |\n| --- | --- | --- |\n| Min. | Max. | Min. |\n| 43 | 57 | 44 |\n| 3,020 | 26,924 | 3,020 |\n| 941 | 8,387 | 939 |","| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| Benign |  |  |\n| --- | --- | --- |\n| Min. | Max. | Min. |\n| 43 | 57 | 44 |\n| 3,020 | 26,924 | 3,020 |\n| 941 | 8,387 | 939 |\n| 941 | 14,040 | 941 |\n| 0.3 | 110 | 0.3 |\n| 2.9 | 737 | 2.9 |","| 4 | 1,116 | 4 |\n| --- | --- | --- |\n| 0.4 | 1,434 | 0.4 |",1]
["| Benign |  |  |\n| --- | --- | --- |\n| Min. | Max. | Min. |\n| 43 | 57 | 44 |\n| 3,020 | 26,924 | 3,020 |\n| 941 | 8,387 | 939 |\n| 941 | 14,040 | 941 |\n| 0.3 | 110 | 0.3 |\n| 2.9 | 737 | 2.9 |","| 80.17 | 94.74 | 98.27 | 0.401 |\n| --- | --- | --- | --- |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| Solution | Buildspace(bits) | Buildtime |\n| --- | --- | --- |\n| prev.(worst-case) | O((n+\\|L\\|)logn) | O(n+\\|L\\|logσ) |\n| theorems??,??(worst-case) | O((n+\\|L\\|+\\|F\\|logσ)logn)C | O(n+\\|L\\|logσ)C |","| theorem??(randomizedexpected) | O((n+\\|F\\|logσ)logn) | O(n+\\|L\\|logσ)) |\n| --- | --- | --- |\n| theorem??(Monte-Carlo) | O((n+\\|F\\|)logn) | O(n+\\|L\\|) |",1]
["| Solution | Buildspace(bits) | Buildtime |\n| --- | --- | --- |\n| prev.(worst-case) | O((n+\\|L\\|)logn) | O(n+\\|L\\|logσ) |\n| theorems??,??(worst-case) | O((n+\\|L\\|+\\|F\\|logσ)logn)C | O(n+\\|L\\|logσ)C |","|  | ExactlyK-sparsesignal |  |  |  |\n| --- | --- | --- | --- | --- |\n| Samples | Complexity | Assumption | Samples |  |\n|  | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |\n|  | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |\n|  | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |\n|  | O(K) | 3O(KlogN) | K=O(N) | void |\n|  | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |\n| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) |",0]
["| Solution | Buildspace(bits) | Buildtime |\n| --- | --- | --- |\n| prev.(worst-case) | O((n+\\|L\\|)logn) | O(n+\\|L\\|logσ) |\n| theorems??,??(worst-case) | O((n+\\|L\\|+\\|F\\|logσ)logn)C | O(n+\\|L\\|logσ)C |","| theorem??(randomizedexpected) | O((n+\\|F\\|logσ)logn) | O(n+\\|L\\|logσ)) |\n| --- | --- | --- |\n| theorem??(Monte-Carlo) | O((n+\\|F\\|)logn) | O(n+\\|L\\|) |",1]
["| Solution | Buildspace(bits) | Buildtime |\n| --- | --- | --- |\n| prev.(worst-case) | O((n+\\|L\\|)logn) | O(n+\\|L\\|logσ) |\n| theorems??,??(worst-case) | O((n+\\|L\\|+\\|F\\|logσ)logn)C | O(n+\\|L\\|logσ)C |","|  | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |\n| --- | --- | --- | --- | --- |\n|  | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |\n|  | O(K) | 3O(KlogN) | K=O(N) | void |\n|  | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |\n| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) |",0]
["| Heuristic |  |  |  |\n| --- | --- | --- | --- |\n| Connection | Connection | Connection | Connection |","| Average<br>(±StdError) | Average<br>(±StdError) | Average<br>(±StdError) | Average<br>(±StdError) |  |\n| --- | --- | --- | --- | --- |\n| Spanning-tree<br>Hitting-distance | 122.747(±2.812)<br>103.945(±1.320) | 130.998(±2.917)<br>105.797(±2.322) | 0.369(±0.023)<br>0.454(±0.027) | 0.360(±0.023)<br>0.459(±0.027) |\n| Greedy<br>Degreebased<br>PageRankbased | 101.969(±0.429)<br>114.182(±2.386)<br>114.894(±2.452) | 102.785(±0.426)<br>113.285(±2.305)<br>112.392(±2.266) | 0.428(±0.025)<br>0.411(±0.024)<br>0.407(±0.025) | 0.426(±0.026)<br>0.394(±0.023)<br>0.398(±0.023) |\n|  | 115.117(±1.782) | 119.243(±1.873) |  |  |",1]
["| Heuristic |  |  |  |\n| --- | --- | --- | --- |\n| Connection | Connection | Connection | Connection |","| (a)Digg:correlation |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ﬁlter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 |\n| (b)Twitter:correlation |  |  |  |  |  |  |  |  |\n|  | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n|  | 28M | -0.769 | -0.339 | -0.755 | 0.523 | 0.350 | -0.769 | 0.406 |",0]
["| Heuristic |  |  |  |\n| --- | --- | --- | --- |\n| Connection | Connection | Connection | Connection |\n| Average<br>(±StdError) | Average<br>(±StdError) | Average<br>(±StdError) | Average<br>(±StdError) |","| Spanning-tree<br>Hitting-distance | 122.747(±2.812)<br>103.945(±1.320) | 130.998(±2.917)<br>105.797(±2.322) | 0.369(±0.023)<br>0.454(±0.027) | 0.360(±0.023)<br>0.459(±0.027) |\n| --- | --- | --- | --- | --- |\n| Greedy<br>Degreebased<br>PageRankbased | 101.969(±0.429)<br>114.182(±2.386)<br>114.894(±2.452) | 102.785(±0.426)<br>113.285(±2.305)<br>112.392(±2.266) | 0.428(±0.025)<br>0.411(±0.024)<br>0.407(±0.025) | 0.426(±0.026)<br>0.394(±0.023)<br>0.398(±0.023) |\n|  | 115.117(±1.782) | 119.243(±1.873) |  |  |",1]
["| Heuristic |  |  |  |\n| --- | --- | --- | --- |\n| Connection | Connection | Connection | Connection |\n| Average<br>(±StdError) | Average<br>(±StdError) | Average<br>(±StdError) | Average<br>(±StdError) |","| (b)Twitter:correlation |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n|  | 28M | -0.769 | -0.339 | -0.755 | 0.523 | 0.350 | -0.769 | 0.406 |",0]
["| Parameter | One | Two |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Height | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 |","| g=2 | 32 | 0.962 | 0.995 | 0.83 | 34 | 0.976 | 0.964 | 0.842 | 63 | 0.972 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| g=3 | 42 | 0.780 | 0.789 | 0.428 | 50 | 0.684 | 0.631 | 0.422 | 82 | 0.750 |\n| g=4 | 52 | 0.714 | 0.772 | 0.323 | 62 | 0.618 | 0.569 | 0.339 | 102 | 0.624 |\n| g=5 | 64 | 0.704 | 0.771 | 0.322 | 72 | 0.603 | 0.569 | 0.337 | 122 | 0.616 |",1]
["| Parameter | One | Two |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Height | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 |","| network | τ(G) | σ(G) | θ(G) |\n| --- | --- | --- | --- |\n| cithepph | 0.22 | 0.56 | 0.37 |\n| cithepth | 0.2 | 0.53 | 0.36 |\n| colastroph | 0.24 | 0.51 | 0.49 |\n| colcondmat | 0.37 | 0.64 | 0.76 |\n| colgrqc | 0.44 | 0.79 | 0.89 |\n| colhepph | 0.26 | 0.58 | 0.7 |\n| colhepth | 0.39 | 0.69 | 0.83 |\n| emailenron | 0.21 | 0.5 | 0.63 |\n| emaileuall | 0.39 | 0.73 | 0.76 |\n| p2p4 | 0.11 | 0.38 | 0.36 |\n| p2p5 | 0.11 | 0.4 | 0.36 |\n| p2p6 | 0.12 | 0.39 | 0.38 |\n| p2p8 | 0.15 | 0.46 | 0.46 |\n| p2p9 | 0.15 | 0.46 | 0.42 |\n| p2p24 | 0.21 | 0.47 | 0.48 |\n| p2p25 | 0.23 | 0.49 | 0.5 |\n| p2p30 | 0.24 | 0.5 | 0.53 |\n| p2p31 | 0.25 | 0.5 | 0.52 |\n| roadnetca | 0.67 | 0.99 | 0.98 |\n| roadnetpa | 0.66 | 0.99 | 0.98 |\n| roadnettx | 0.67 | 0.99 | 0.98 |",0]
["| Parameter | One | Two |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Height | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 |\n| g=2 | 32 | 0.962 | 0.995 | 0.83 | 34 | 0.976 | 0.964 | 0.842 | 63 | 0.972 |","| g=3 | 42 | 0.780 | 0.789 | 0.428 | 50 | 0.684 | 0.631 | 0.422 | 82 | 0.750 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| g=4 | 52 | 0.714 | 0.772 | 0.323 | 62 | 0.618 | 0.569 | 0.339 | 102 | 0.624 |\n| g=5 | 64 | 0.704 | 0.771 | 0.322 | 72 | 0.603 | 0.569 | 0.337 | 122 | 0.616 |",1]
["| Parameter | One | Two |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Height | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 | IPED | COP | FamilySize | IPED2 |\n| g=2 | 32 | 0.962 | 0.995 | 0.83 | 34 | 0.976 | 0.964 | 0.842 | 63 | 0.972 |","| roadnetpa | 0.66 | 0.99 | 0.98 |\n| --- | --- | --- | --- |\n| roadnettx | 0.67 | 0.99 | 0.98 |",0]
["| Scripts | NumberofSamples |  |  |  |\n| --- | --- | --- | --- | --- |\n| CharacterLevel | WordLevel |  |  |  |\n| Online | Oﬄine | Online | Oﬄine |  |\n| Bangla | 10,509 | 10,897 | 10,589 | 10,687 |\n| Devanagari | 10,897 | 11,021 | 10,847 | 10,645 |\n| Gurumukhi | 9,897 | 9,789 | 9,569 | 9,657 |","| Odia | 9,457 | 9,789 | 9,147 | 9,234 |\n| --- | --- | --- | --- | --- |\n| Tamil | 9,456 | 9,476 | 9,874 | 9,476 |\n| Telegu | 10,486 | 10,789 | 10,687 | 10,694 |\n| English | 10,489 | 10,879 | 11,023 | 11,458 |",1]
["| Scripts | NumberofSamples |  |  |  |\n| --- | --- | --- | --- | --- |\n| CharacterLevel | WordLevel |  |  |  |\n| Online | Oﬄine | Online | Oﬄine |  |\n| Bangla | 10,509 | 10,897 | 10,589 | 10,687 |\n| Devanagari | 10,897 | 11,021 | 10,847 | 10,645 |\n| Gurumukhi | 9,897 | 9,789 | 9,569 | 9,657 |","| Languages | MovieCount | UserCount |\n| --- | --- | --- |\n| Hindi | 615 | 902 |\n| Bengali | 582 | 28 |\n| Assamese | 22 | 9 |\n| Tamil | 313 | 30 |\n| Nepali | 51 | 9 |\n| Punjabi | 150 | 78 |\n| Rajasthani | 18 | 14 |\n| Malayalam | 346 | 16 |\n| Bhojpuri | 26 | 21 |\n| Kannada | 303 | 11 |\n| Haryanvi | 3 | 18 |\n| Manipuri | 8 | 4 |\n| Urdu | 129 | 23 |\n| Marathi | 204 | 14 |\n| Telugu | 338 | 18 |\n| Oriya | 98 | 6 |\n| Gujarati | 49 | 7 |\n| Konkani | 6 | 4 |",0]
["| Scripts | NumberofSamples |  |  |  |\n| --- | --- | --- | --- | --- |\n| CharacterLevel | WordLevel |  |  |  |\n| Online | Oﬄine | Online | Oﬄine |  |\n| Bangla | 10,509 | 10,897 | 10,589 | 10,687 |\n| Devanagari | 10,897 | 11,021 | 10,847 | 10,645 |\n| Gurumukhi | 9,897 | 9,789 | 9,569 | 9,657 |\n| Odia | 9,457 | 9,789 | 9,147 | 9,234 |","| Tamil | 9,456 | 9,476 | 9,874 | 9,476 |\n| --- | --- | --- | --- | --- |\n| Telegu | 10,486 | 10,789 | 10,687 | 10,694 |\n| English | 10,489 | 10,879 | 11,023 | 11,458 |",1]
["| Scripts | NumberofSamples |  |  |  |\n| --- | --- | --- | --- | --- |\n| CharacterLevel | WordLevel |  |  |  |\n| Online | Oﬄine | Online | Oﬄine |  |\n| Bangla | 10,509 | 10,897 | 10,589 | 10,687 |\n| Devanagari | 10,897 | 11,021 | 10,847 | 10,645 |\n| Gurumukhi | 9,897 | 9,789 | 9,569 | 9,657 |\n| Odia | 9,457 | 9,789 | 9,147 | 9,234 |","| Marathi | 204 | 14 |\n| --- | --- | --- |\n| Telugu | 338 | 18 |\n| Oriya | 98 | 6 |\n| Gujarati | 49 | 7 |\n| Konkani | 6 | 4 |",0]
["| TurnHold’emTurnBuckets: | 200 | 2,000 | 20,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 684.6 | 465.1 | 345.5 |\n| Unsafe | 130.4 | 85.95 | 79.34 |\n| Resolve | 454.9 | 321.5 | 251.8 |\n| Maxmargin | 427.6 | 299.6 | 234.4 |\n| Reach-Maxmargin | 424.4 | 298.3 | 233.5 |\n| Reach-Maxmargin(notsplit) | 333.4 | 229.4 | 175.5 |","| Estimate | 120.6 | 89.43 | 76.44 |\n| --- | --- | --- | --- |\n| Estimate+Distributional | 119.4 | 87.83 | 74.35 |\n| Reach-Estimate+Distributional | 116.8 | 85.80 | 72.59 |\n| Reach-Estimate+Distributional(notsplit) | 113.3 | 83.24 | 70.68 |",1]
["| TurnHold’emTurnBuckets: | 200 | 2,000 | 20,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 684.6 | 465.1 | 345.5 |\n| Unsafe | 130.4 | 85.95 | 79.34 |\n| Resolve | 454.9 | 321.5 | 251.8 |\n| Maxmargin | 427.6 | 299.6 | 234.4 |\n| Reach-Maxmargin | 424.4 | 298.3 | 233.5 |\n| Reach-Maxmargin(notsplit) | 333.4 | 229.4 | 175.5 |","| SmallFlopHold’emFlopBuckets: | 200 | 2,000 | 30,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 88.69 | 37.374 | 9.128 |\n| Unsafe | 14.68 | 3.958 | 0.5514 |\n| Resolve | 60.16 | 17.79 | 5.407 |\n| Maxmargin | 30.05 | 13.99 | 4.343 |\n| Reach-Maxmargin | 29.88 | 13.90 | 4.147 |\n| Reach-Maxmargin(notsplit) | 24.87 | 9.807 | 2.588 |\n| Estimate | 11.66 | 6.261 | 2.423 |\n| Estimate+Distributional | 10.44 | 6.245 | 3.430 |\n| Reach-Estimate+Distributional | 10.21 | 5.798 | 2.258 |\n| Reach-Estimate+Distributional(notsplit) | 9.560 | 4.924 | 1.733 |",0]
["| TurnHold’emTurnBuckets: | 200 | 2,000 | 20,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 684.6 | 465.1 | 345.5 |","| Unsafe | 130.4 | 85.95 | 79.34 |\n| --- | --- | --- | --- |\n| Resolve | 454.9 | 321.5 | 251.8 |\n| Maxmargin | 427.6 | 299.6 | 234.4 |\n| Reach-Maxmargin | 424.4 | 298.3 | 233.5 |\n| Reach-Maxmargin(notsplit) | 333.4 | 229.4 | 175.5 |\n| Estimate | 120.6 | 89.43 | 76.44 |\n| Estimate+Distributional | 119.4 | 87.83 | 74.35 |\n| Reach-Estimate+Distributional | 116.8 | 85.80 | 72.59 |\n| Reach-Estimate+Distributional(notsplit) | 113.3 | 83.24 | 70.68 |",1]
["| TurnHold’emTurnBuckets: | 200 | 2,000 | 20,000 |\n| --- | --- | --- | --- |\n| TrunkStrategy | 684.6 | 465.1 | 345.5 |","| Reach-Estimate+Distributional | 10.21 | 5.798 | 2.258 |\n| --- | --- | --- | --- |\n| Reach-Estimate+Distributional(notsplit) | 9.560 | 4.924 | 1.733 |",0]
["| CASE | TASK | CASE | TASK |\n| --- | --- | --- | --- |\n| 1 | T1 | 2 | T1 |\n| 1 | T2 | 2 | T2 |\n| 1 | T3 | 2 | T3 |\n| 1 | T4 | 2 | T5 |\n| 1 | T5 | 2 | T4 |\n| 1 | T6 | 2 | T7 |\n| 1 | T7 | 2 | T8 |\n| 1 | T8 | 2 | T6 |\n| 1 | T9 | 2 | T10 |\n| 1 | T10 | 2 | T9 |\n| 1 | T8’ | 2 | T11 |","| 1 | T11 | 2 | T12 |\n| --- | --- | --- | --- |\n| 1 | T9’ | 2 | T14 |\n| 1 | T12 | 2 | T15 |\n| 1 | T13 | 2 | T16 |\n| 1 | T14 | 2 | T17 |\n| 1 | T15 | 2 | T19 |\n| 1 | T16 | 2 | T18’ |\n| 1 | T17 | 2 | T20 |\n| 1 | T18 | - | - |\n| 1 | T18’ | - | - |\n| 1 | T19 | - | - |\n| 1 | T19’ | - | - |\n| 1 | T20 | - | - |",1]
["| CASE | TASK | CASE | TASK |\n| --- | --- | --- | --- |\n| 1 | T1 | 2 | T1 |\n| 1 | T2 | 2 | T2 |\n| 1 | T3 | 2 | T3 |\n| 1 | T4 | 2 | T5 |\n| 1 | T5 | 2 | T4 |\n| 1 | T6 | 2 | T7 |\n| 1 | T7 | 2 | T8 |\n| 1 | T8 | 2 | T6 |\n| 1 | T9 | 2 | T10 |\n| 1 | T10 | 2 | T9 |\n| 1 | T8’ | 2 | T11 |","|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |\n| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |\n| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |\n| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |\n| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |\n| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |\n| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |\n| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |\n| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |\n| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |\n| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |\n| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |\n| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |\n| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |\n| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |\n| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b |",0]
["| CASE | TASK | CASE | TASK |\n| --- | --- | --- | --- |\n| 1 | T1 | 2 | T1 |\n| 1 | T2 | 2 | T2 |\n| 1 | T3 | 2 | T3 |\n| 1 | T4 | 2 | T5 |\n| 1 | T5 | 2 | T4 |\n| 1 | T6 | 2 | T7 |","| 1 | T7 | 2 | T8 |\n| --- | --- | --- | --- |\n| 1 | T8 | 2 | T6 |\n| 1 | T9 | 2 | T10 |\n| 1 | T10 | 2 | T9 |\n| 1 | T8’ | 2 | T11 |\n| 1 | T11 | 2 | T12 |\n| 1 | T9’ | 2 | T14 |\n| 1 | T12 | 2 | T15 |\n| 1 | T13 | 2 | T16 |\n| 1 | T14 | 2 | T17 |\n| 1 | T15 | 2 | T19 |\n| 1 | T16 | 2 | T18’ |\n| 1 | T17 | 2 | T20 |\n| 1 | T18 | - | - |\n| 1 | T18’ | - | - |\n| 1 | T19 | - | - |\n| 1 | T19’ | - | - |\n| 1 | T20 | - | - |",1]
["| CASE | TASK | CASE | TASK |\n| --- | --- | --- | --- |\n| 1 | T1 | 2 | T1 |\n| 1 | T2 | 2 | T2 |\n| 1 | T3 | 2 | T3 |\n| 1 | T4 | 2 | T5 |\n| 1 | T5 | 2 | T4 |\n| 1 | T6 | 2 | T7 |","| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |\n| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |\n| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |\n| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |\n| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |\n| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |\n| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b |",0]
["| Notation | Deﬁnition |\n| --- | --- |\n| L | setoflinks |\n| L | totalnumberoflinks |\n| hlk | channelgainfromlinkl’stransmitter<br>tolinkk’sreceiver |\n| H | linkgainmatrix |","| p(invectorp)l | transmissionpoweroflinkl |\n| --- | --- |\n| n(invectorn)l | noisepowerforlinkl |\n| γl | SINRoflinkl |\n| γ(·)l | SINRfunctionoflinkl |\n| U(·)l | utilityfunctionoflinkl |\n| x(invectorx)l | ratiooflinkl’sutilitytothetotalnetworkutility |\n| r(invectorr)l | transmissionrateoflinkl |\n| r(·)l | transmissionratefunctionoflinkl |\n| α,β | penaltymultipliers |",1]
["| Notation | Deﬁnition |\n| --- | --- |\n| L | setoflinks |\n| L | totalnumberoflinks |\n| hlk | channelgainfromlinkl’stransmitter<br>tolinkk’sreceiver |\n| H | linkgainmatrix |","| c | disutilitycostparameters |\n| --- | --- |\n| R | reducedload |\n| S | maximumavailablepowersupply |\n| L | powerload |\n| f | maximumlinecapacity |\n| Hs | generationshiftfactormatrix |\n| Hl | loadshiftfactormatrix |",0]
["| Notation | Deﬁnition |\n| --- | --- |\n| L | setoflinks |\n| L | totalnumberoflinks |\n| hlk | channelgainfromlinkl’stransmitter<br>tolinkk’sreceiver |\n| H | linkgainmatrix |\n| p(invectorp)l | transmissionpoweroflinkl |\n| n(invectorn)l | noisepowerforlinkl |","| γl | SINRoflinkl |\n| --- | --- |\n| γ(·)l | SINRfunctionoflinkl |\n| U(·)l | utilityfunctionoflinkl |\n| x(invectorx)l | ratiooflinkl’sutilitytothetotalnetworkutility |\n| r(invectorr)l | transmissionrateoflinkl |\n| r(·)l | transmissionratefunctionoflinkl |\n| α,β | penaltymultipliers |",1]
["| Notation | Deﬁnition |\n| --- | --- |\n| L | setoflinks |\n| L | totalnumberoflinks |\n| hlk | channelgainfromlinkl’stransmitter<br>tolinkk’sreceiver |\n| H | linkgainmatrix |\n| p(invectorp)l | transmissionpoweroflinkl |\n| n(invectorn)l | noisepowerforlinkl |","| f | maximumlinecapacity |\n| --- | --- |\n| Hs | generationshiftfactormatrix |\n| Hl | loadshiftfactormatrix |",0]
["| Dataset | #Datapoints | #Classes | #Features |\n| --- | --- | --- | --- |\n| YaleB | 2,414 | 38 | 1,024 |\n| USPS | 9,298 | 10 | 256 |\n| COIL100 | 7,200 | 100 | 1,024 |","| Glass | 214 | 6 | 10 |\n| --- | --- | --- | --- |\n| Climate | 540 | 2 | 18 |\n| Ionosphere | 351 | 2 | 34 |",1]
["| Dataset | #Datapoints | #Classes | #Features |\n| --- | --- | --- | --- |\n| YaleB | 2,414 | 38 | 1,024 |\n| USPS | 9,298 | 10 | 256 |\n| COIL100 | 7,200 | 100 | 1,024 |","| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |\n| --- | --- | --- | --- | --- |\n| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |\n| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 |\n| COIL100 | 0.9070 | 0.8834 | 0.8793 | 0.8637 |\n| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |\n| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |\n| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 |",0]
["| Dataset | #Datapoints | #Classes | #Features |\n| --- | --- | --- | --- |\n| YaleB | 2,414 | 38 | 1,024 |\n| USPS | 9,298 | 10 | 256 |\n| COIL100 | 7,200 | 100 | 1,024 |","| Glass | 214 | 6 | 10 |\n| --- | --- | --- | --- |\n| Climate | 540 | 2 | 18 |\n| Ionosphere | 351 | 2 | 34 |",1]
["| Dataset | #Datapoints | #Classes | #Features |\n| --- | --- | --- | --- |\n| YaleB | 2,414 | 38 | 1,024 |\n| USPS | 9,298 | 10 | 256 |\n| COIL100 | 7,200 | 100 | 1,024 |","| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |\n| --- | --- | --- | --- | --- |\n| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |\n| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 |",0]
["| Image | Method | CSr |  |  |\n| --- | --- | --- | --- | --- |\n| 0.02 | 0.04 | 0.06 | 0.08 | 0.10 |","| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 |\n| Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 |\n| Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 |\n| House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 |\n| Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 |\n| Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 |\n| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",1]
["| Image | Method | CSr |  |  |\n| --- | --- | --- | --- | --- |\n| 0.02 | 0.04 | 0.06 | 0.08 | 0.10 |","|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |\n| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |\n| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["| Image | Method | CSr |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.02 | 0.04 | 0.06 | 0.08 | 0.10 |  |  |\n| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 |\n| Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 |\n| Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 |","| Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 |\n| --- | --- | --- | --- | --- | --- | --- |\n| House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 |\n| Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 |\n| Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 |\n| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",1]
["| Image | Method | CSr |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.02 | 0.04 | 0.06 | 0.08 | 0.10 |  |  |\n| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 |\n| Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 |\n| Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 |","| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |\n| --- | --- | --- | --- | --- | --- |\n| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["| Stride | -Diﬃculty | +Diﬃculty |\n| --- | --- | --- |\n| 1 | 0.77 | 0.86 |","| 2 | 0.77 | 0.86 |\n| --- | --- | --- |\n| 4 | 0.78 | 0.86 |\n| 8 | 0.75 | 0.81 |\n| 16 | 0.74 | 0.80 |",1]
["| Stride | -Diﬃculty | +Diﬃculty |\n| --- | --- | --- |\n| 1 | 0.77 | 0.86 |","| 0∼10px |\n| --- |\n| PRH |\n| 0.120.100.11 |\n| 0.170.190.18 |\n| 0.630.570.60 |",0]
["| Stride | -Diﬃculty | +Diﬃculty |\n| --- | --- | --- |\n| 1 | 0.77 | 0.86 |\n| 2 | 0.77 | 0.86 |\n| 4 | 0.78 | 0.86 |","| 8 | 0.75 | 0.81 |\n| --- | --- | --- |\n| 16 | 0.74 | 0.80 |",1]
["| Stride | -Diﬃculty | +Diﬃculty |\n| --- | --- | --- |\n| 1 | 0.77 | 0.86 |\n| 2 | 0.77 | 0.86 |\n| 4 | 0.78 | 0.86 |","| 0.170.190.18 |\n| --- |\n| 0.630.570.60 |",0]
["| English→Germantask | BLEU | German→Englishtask | BLEU |\n| --- | --- | --- | --- |\n| Existingend-to-endsystem |  |  |  |\n| RNNSearch-LV<br>MRT<br>Global-att<br>GNMT | 19.40<br>20.45<br>20.90<br>24.61 | BSO<br>NMPT<br>NMPT+LM<br>ActorCritic | 26.36<br>28.96<br>29.16<br>28.53 |","| Ourend-to-endsystem |  |  |  |\n| --- | --- | --- | --- |\n| Baseline<br>SharpenedSigmoid<br>2<br>G-LSTM | 21.89<br>21.64<br>22.43 | -<br>-<br>- | 31.00<br>29.73<br>31.95 |",1]
["| English→Germantask | BLEU | German→Englishtask | BLEU |\n| --- | --- | --- | --- |\n| Existingend-to-endsystem |  |  |  |\n| RNNSearch-LV<br>MRT<br>Global-att<br>GNMT | 19.40<br>20.45<br>20.90<br>24.61 | BSO<br>NMPT<br>NMPT+LM<br>ActorCritic | 26.36<br>28.96<br>29.16<br>28.53 |","| Captions | IToC<br>Recall@5Recall@10Recall@50 |\n| --- | --- |\n| English | 0.1180.1900.456 |\n| French<br>French<br>French<br>French | 0.0080.0170.069<br>0.0180.0240.085<br>0.0720.1350.335<br>0.1010.1630.414 |\n| German<br>German<br>German<br>German | 0.0050.0090.053<br>0.0090.0130.071<br>0.0630.1050.298<br>0.0840.1630.420 |\n|  | 0.0060.0090.044 |",0]
["| English→Germantask | BLEU | German→Englishtask | BLEU |\n| --- | --- | --- | --- |\n| Existingend-to-endsystem |  |  |  |","| RNNSearch-LV<br>MRT<br>Global-att<br>GNMT | 19.40<br>20.45<br>20.90<br>24.61 | BSO<br>NMPT<br>NMPT+LM<br>ActorCritic | 26.36<br>28.96<br>29.16<br>28.53 |\n| --- | --- | --- | --- |\n| Ourend-to-endsystem |  |  |  |\n| Baseline<br>SharpenedSigmoid<br>2<br>G-LSTM | 21.89<br>21.64<br>22.43 | -<br>-<br>- | 31.00<br>29.73<br>31.95 |",1]
["| English→Germantask | BLEU | German→Englishtask | BLEU |\n| --- | --- | --- | --- |\n| Existingend-to-endsystem |  |  |  |","| German<br>German<br>German<br>German | 0.0050.0090.053<br>0.0090.0130.071<br>0.0630.1050.298<br>0.0840.1630.420 |\n| --- | --- |\n|  | 0.0060.0090.044 |",0]
["| α | G | Capacity | Bandwidth | γ(α)c |\n| --- | --- | --- | --- | --- |\n| 0.125 | 2 | 1.14 | 8.56 | 0.133 |\n| 0.25 | 4 | 1.01 | 9.51 | 0.106 |\n| 0.375 | 5 | 0.96 | 10.46 | 0.091 |\n| 0.5 | 7 | 0.92 | 11.42 | 0.081 |\n| 0.625 | 8 | 0.90 | 12.37 | 0.073 |\n| 0.75 | 9 | 0.89 | 13.32 | 0.067 |","| 0.875 | 11 | 0.88 | 14.27 | 0.061 |\n| --- | --- | --- | --- | --- |\n| 1 | 12 | 0.87 | 15.22 | 0.057 |",1]
["| α | G | Capacity | Bandwidth | γ(α)c |\n| --- | --- | --- | --- | --- |\n| 0.125 | 2 | 1.14 | 8.56 | 0.133 |\n| 0.25 | 4 | 1.01 | 9.51 | 0.106 |\n| 0.375 | 5 | 0.96 | 10.46 | 0.091 |\n| 0.5 | 7 | 0.92 | 11.42 | 0.081 |\n| 0.625 | 8 | 0.90 | 12.37 | 0.073 |\n| 0.75 | 9 | 0.89 | 13.32 | 0.067 |","| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["| α | G | Capacity | Bandwidth | γ(α)c |\n| --- | --- | --- | --- | --- |\n| 0.125 | 2 | 1.14 | 8.56 | 0.133 |\n| 0.25 | 4 | 1.01 | 9.51 | 0.106 |\n| 0.375 | 5 | 0.96 | 10.46 | 0.091 |\n| 0.5 | 7 | 0.92 | 11.42 | 0.081 |\n| 0.625 | 8 | 0.90 | 12.37 | 0.073 |\n| 0.75 | 9 | 0.89 | 13.32 | 0.067 |","| 0.875 | 11 | 0.88 | 14.27 | 0.061 |\n| --- | --- | --- | --- | --- |\n| 1 | 12 | 0.87 | 15.22 | 0.057 |",1]
["| α | G | Capacity | Bandwidth | γ(α)c |\n| --- | --- | --- | --- | --- |\n| 0.125 | 2 | 1.14 | 8.56 | 0.133 |\n| 0.25 | 4 | 1.01 | 9.51 | 0.106 |\n| 0.375 | 5 | 0.96 | 10.46 | 0.091 |\n| 0.5 | 7 | 0.92 | 11.42 | 0.081 |\n| 0.625 | 8 | 0.90 | 12.37 | 0.073 |\n| 0.75 | 9 | 0.89 | 13.32 | 0.067 |","| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["|  | Performance | RocAuc | F1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | mean | std | mean | std | mean | std |\n| LogisticRegression | 0.7500 | 0.2738 | 0.7000 | 0.4153 | 0.6166 | 0.4349 |\n| LDA | 0.6750 | 0.2968 | 0.7000 | 0.4153 | 0.6066 | 0.4103 |\n| SVC | 0.6500 | 0.3000 | 0.7000 | 0.4153 | 0.5766 | 0.4060 |\n| GaussianNB | 0.6500 | 0.3000 | 0.6750 | 0.4038 | 0.5766 | 0.4060 |\n| DecisionTreeClassiﬁer | 0.5500 | 0.2915 | 0.5250 | 0.2610 | 0.5533 | 0.3357 |\n| GradientBoostingClassiﬁer | 0.5750 | 0.2750 | 0.6375 | 0.2589 | 0.5266 | 0.3362 |\n| BaggingClassiﬁer | 0.5750 | 0.1600 | 0.5875 | 0.2907 | 0.5066 | 0.2950 |","| KNeighborsClassiﬁer | 0.5500 | 0.1500 | 0.5500 | 0.1500 | 0.4300 | 0.2956 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomForestClassiﬁer | 0.5000 | 0.2500 | 0.6000 | 0.3570 | 0.4833 | 0.2833 |",1]
["|  | Performance | RocAuc | F1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | mean | std | mean | std | mean | std |\n| LogisticRegression | 0.7500 | 0.2738 | 0.7000 | 0.4153 | 0.6166 | 0.4349 |\n| LDA | 0.6750 | 0.2968 | 0.7000 | 0.4153 | 0.6066 | 0.4103 |\n| SVC | 0.6500 | 0.3000 | 0.7000 | 0.4153 | 0.5766 | 0.4060 |\n| GaussianNB | 0.6500 | 0.3000 | 0.6750 | 0.4038 | 0.5766 | 0.4060 |\n| DecisionTreeClassiﬁer | 0.5500 | 0.2915 | 0.5250 | 0.2610 | 0.5533 | 0.3357 |\n| GradientBoostingClassiﬁer | 0.5750 | 0.2750 | 0.6375 | 0.2589 | 0.5266 | 0.3362 |\n| BaggingClassiﬁer | 0.5750 | 0.1600 | 0.5875 | 0.2907 | 0.5066 | 0.2950 |","|  | NSL-KDD | UNSW-NB15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ACC | PPV | TPR | ACC | PPV | TPR |  |\n| DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 |\n| K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |\n| KNeighboursClassiﬁer | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |\n| LogisticRegression | 89.52 | 62.04 | 73.79 | 92.52 | 71.05 | 62.61 |\n| MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 |\n| GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 |\n| MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 |\n| BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 |\n| RandomForestClassiﬁer | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 |\n| SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 |\n| OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |",0]
["|  | Performance | RocAuc | F1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | mean | std | mean | std | mean | std |","| LogisticRegression | 0.7500 | 0.2738 | 0.7000 | 0.4153 | 0.6166 | 0.4349 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LDA | 0.6750 | 0.2968 | 0.7000 | 0.4153 | 0.6066 | 0.4103 |\n| SVC | 0.6500 | 0.3000 | 0.7000 | 0.4153 | 0.5766 | 0.4060 |\n| GaussianNB | 0.6500 | 0.3000 | 0.6750 | 0.4038 | 0.5766 | 0.4060 |\n| DecisionTreeClassiﬁer | 0.5500 | 0.2915 | 0.5250 | 0.2610 | 0.5533 | 0.3357 |\n| GradientBoostingClassiﬁer | 0.5750 | 0.2750 | 0.6375 | 0.2589 | 0.5266 | 0.3362 |\n| BaggingClassiﬁer | 0.5750 | 0.1600 | 0.5875 | 0.2907 | 0.5066 | 0.2950 |\n| KNeighborsClassiﬁer | 0.5500 | 0.1500 | 0.5500 | 0.1500 | 0.4300 | 0.2956 |\n| RandomForestClassiﬁer | 0.5000 | 0.2500 | 0.6000 | 0.3570 | 0.4833 | 0.2833 |",1]
["|  | Performance | RocAuc | F1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | mean | std | mean | std | mean | std |","| K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KNeighboursClassiﬁer | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |\n| LogisticRegression | 89.52 | 62.04 | 73.79 | 92.52 | 71.05 | 62.61 |\n| MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 |\n| GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 |\n| MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 |\n| BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 |\n| RandomForestClassiﬁer | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 |\n| SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 |\n| OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |",0]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |","| Batchnormalization-ELUactivation |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |\n| Fully-connectedlayer | (50) |\n| output(50) |  |",1]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |","| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Fully-connectedlayer | (50) |\n| output(50) |  |",0]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |","| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |\n| --- | --- |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |\n| Fully-connectedlayer | (50) |\n| output(50) |  |",1]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |","| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| --- | --- |\n| Fully-connectedlayer | (50) |\n| output(50) |  |",0]
["|  | Nodes | Leaves | Levels |\n| --- | --- | --- | --- |\n| IGTree | 865 | 433 | 33 |\n| BS-tree | 719 | 360 | 86 |\n| C4.5 | 339 | 170 | 26 |","| BD-tree | 451 | 226 | 52 |\n| --- | --- | --- | --- |\n| SE-tree | 559 | 209 | 8 |",1]
["|  | Nodes | Leaves | Levels |\n| --- | --- | --- | --- |\n| IGTree | 865 | 433 | 33 |\n| BS-tree | 719 | 360 | 86 |\n| C4.5 | 339 | 170 | 26 |","| p | tree | RRGnumerics |\n| --- | --- | --- |\n| 0.5 | 4.16 | 4.36±0.03 |\n| 0.45 | 4.22 | 4.45±0.05 |\n| 0.4 | 4.53 | 4.75±0.05 |\n| 0.35 | 5.13 | 5.30±0.05 |\n| 0.3 | 6.16 | 6.28±0.05 |",0]
["|  | Nodes | Leaves | Levels |\n| --- | --- | --- | --- |\n| IGTree | 865 | 433 | 33 |","| BS-tree | 719 | 360 | 86 |\n| --- | --- | --- | --- |\n| C4.5 | 339 | 170 | 26 |\n| BD-tree | 451 | 226 | 52 |\n| SE-tree | 559 | 209 | 8 |",1]
["|  | Nodes | Leaves | Levels |\n| --- | --- | --- | --- |\n| IGTree | 865 | 433 | 33 |","| 0.4 | 4.53 | 4.75±0.05 |\n| --- | --- | --- |\n| 0.35 | 5.13 | 5.30±0.05 |\n| 0.3 | 6.16 | 6.28±0.05 |",0]
["| MetricMaltParserStanfordRNNparserTurboParserYaraParser |\n| --- |\n| LAS88.3588.7791.3691.844321<br>UAS90.2790.4793.2993.344321<br>LA93.0193.5995.0295.724321 |\n| P(acomp)88.6688.3188.7591.033421<br>R(acomp)90.2989.2491.0893.183421 |\n| P(advmod)83.1882.3884.9685.853421<br>R(advmod)84.0481.9785.4685.223412 |\n| P(amod)95.4595.0196.2596.233412<br>R(amod)95.4595.4096.3096.603421 |\n| P(attr)87.1786.0089.0094.883421<br>R(attr)88.6386.2991.9792.983421 |\n| P(cc)77.0677.6883.5683.464312<br>R(cc)76.9577.0283.8283.974321 |","| P(mark)83.4484.2185.1588.474321<br>R(mark)83.4488.3190.2692.214321 |\n| --- |\n| P(neg)92.9992.6294.7792.682413<br>R(neg)94.7293.4895.6594.412413 |\n| P(nmod)80.6682.1784.4585.384321<br>R(nmod)79.6778.6679.4780.692431 |",1]
["| MetricMaltParserStanfordRNNparserTurboParserYaraParser |\n| --- |\n| LAS88.3588.7791.3691.844321<br>UAS90.2790.4793.2993.344321<br>LA93.0193.5995.0295.724321 |\n| P(acomp)88.6688.3188.7591.033421<br>R(acomp)90.2989.2491.0893.183421 |\n| P(advmod)83.1882.3884.9685.853421<br>R(advmod)84.0481.9785.4685.223412 |\n| P(amod)95.4595.0196.2596.233412<br>R(amod)95.4595.4096.3096.603421 |\n| P(attr)87.1786.0089.0094.883421<br>R(attr)88.6386.2991.9792.983421 |\n| P(cc)77.0677.6883.5683.464312<br>R(cc)76.9577.0283.8283.974321 |","| MRCRSUBJMPQATREC | MSRP(Acc/F1) |\n| --- | --- |\n| 71.578.490.183.485.2<br>71.979.390.885.288.8<br>73.680.291.485.789.0 | 72.1/81.7<br>72.8/81.5<br>73.5/82.1 |\n| 72.177.890.584.286.0<br>72.979.390.685.287.6<br>74.080.491.586.187.8 | 71.5/80.8<br>72.9/81.6<br>73.7/81.7 |\n| 70.875.990.482.787.2<br>71.178.490.883.789.6<br>72.478.691.584.388.7 | 73.3/81.7<br>73.2/81.7<br>75.4/83.0 |\n| 68.476.589.481.481.6<br>70.076.489.681.486.0<br>71.678.090.783.283.2 | 72.2/81.4<br>72.8/81.4<br>73.2/81.4 |\n| 73.380.090.784.984.8<br>75.080.591.186.587.4<br>75.881.891.986.888.6 | 73.8/81.9<br>72.3/81.3<br>75.0/82.5 |",0]
["| MetricMaltParserStanfordRNNparserTurboParserYaraParser |\n| --- |\n| LAS88.3588.7791.3691.844321<br>UAS90.2790.4793.2993.344321<br>LA93.0193.5995.0295.724321 |\n| P(acomp)88.6688.3188.7591.033421<br>R(acomp)90.2989.2491.0893.183421 |\n| P(advmod)83.1882.3884.9685.853421<br>R(advmod)84.0481.9785.4685.223412 |\n| P(amod)95.4595.0196.2596.233412<br>R(amod)95.4595.4096.3096.603421 |\n| P(attr)87.1786.0089.0094.883421<br>R(attr)88.6386.2991.9792.983421 |","| P(cc)77.0677.6883.5683.464312<br>R(cc)76.9577.0283.8283.974321 |\n| --- |\n| P(mark)83.4484.2185.1588.474321<br>R(mark)83.4488.3190.2692.214321 |\n| P(neg)92.9992.6294.7792.682413<br>R(neg)94.7293.4895.6594.412413 |\n| P(nmod)80.6682.1784.4585.384321<br>R(nmod)79.6778.6679.4780.692431 |",1]
["| MetricMaltParserStanfordRNNparserTurboParserYaraParser |\n| --- |\n| LAS88.3588.7791.3691.844321<br>UAS90.2790.4793.2993.344321<br>LA93.0193.5995.0295.724321 |\n| P(acomp)88.6688.3188.7591.033421<br>R(acomp)90.2989.2491.0893.183421 |\n| P(advmod)83.1882.3884.9685.853421<br>R(advmod)84.0481.9785.4685.223412 |\n| P(amod)95.4595.0196.2596.233412<br>R(amod)95.4595.4096.3096.603421 |\n| P(attr)87.1786.0089.0094.883421<br>R(attr)88.6386.2991.9792.983421 |","| 70.875.990.482.787.2<br>71.178.490.883.789.6<br>72.478.691.584.388.7 | 73.3/81.7<br>73.2/81.7<br>75.4/83.0 |\n| --- | --- |\n| 68.476.589.481.481.6<br>70.076.489.681.486.0<br>71.678.090.783.283.2 | 72.2/81.4<br>72.8/81.4<br>73.2/81.4 |\n| 73.380.090.784.984.8<br>75.080.591.186.587.4<br>75.881.891.986.888.6 | 73.8/81.9<br>72.3/81.3<br>75.0/82.5 |",0]
["| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |","| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| --- | --- | --- | --- | --- | --- |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",1]
["| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |","| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |\n| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |","| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| --- | --- | --- | --- | --- | --- |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",1]
["| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |\n| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |","| Conv41 | 3×3/1 | 192 | 128 |\n| --- | --- | --- | --- |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Usecase |\n| --- |\n| DefaultPartitioningProblem |\n| CheckingGraphforCorrectness<br>EvaluatePartitioningMetrics<br>FastSequentialPartitioning,Mesh<br>GoodSequentialPartitioning,Mesh<br>VeryGoodSequentialPartitioning,Mesh |\n| FastSequentialPartitioning,Social<br>GoodSequentialPartitioning,Social<br>VeryGoodSequentialPartitioning,Social |","| MappingtoProcessorNetworks |\n| --- |\n| HighestQuality,Mesh<br>HighestQuality,Social |\n| ParallelPartitioning |\n| DistributedMemoryParallel,Mesh<br>DistributedMemoryParallel,Social<br>ConvertMetistoBinary<br>EvaluateandConvertPartitions |\n| NodeSeparators |\n| TwoNodeSeparators<br>k-waySeparators |",1]
["| Usecase |\n| --- |\n| DefaultPartitioningProblem |\n| CheckingGraphforCorrectness<br>EvaluatePartitioningMetrics<br>FastSequentialPartitioning,Mesh<br>GoodSequentialPartitioning,Mesh<br>VeryGoodSequentialPartitioning,Mesh |\n| FastSequentialPartitioning,Social<br>GoodSequentialPartitioning,Social<br>VeryGoodSequentialPartitioning,Social |","| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |\n| Maximumnodedegreemaxk | 50 |\n| Averagenodedegreeavgk | 10 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 50,100 |\n| Minimumcommunitysizeminc | 10,20 |\n| Communitysizedistributionτ2 | -1 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["| Usecase |\n| --- |\n| DefaultPartitioningProblem |\n| CheckingGraphforCorrectness<br>EvaluatePartitioningMetrics<br>FastSequentialPartitioning,Mesh<br>GoodSequentialPartitioning,Mesh<br>VeryGoodSequentialPartitioning,Mesh |\n| FastSequentialPartitioning,Social<br>GoodSequentialPartitioning,Social<br>VeryGoodSequentialPartitioning,Social |\n| MappingtoProcessorNetworks |","| HighestQuality,Mesh<br>HighestQuality,Social |\n| --- |\n| ParallelPartitioning |\n| DistributedMemoryParallel,Mesh<br>DistributedMemoryParallel,Social<br>ConvertMetistoBinary<br>EvaluateandConvertPartitions |\n| NodeSeparators |\n| TwoNodeSeparators<br>k-waySeparators |",1]
["| Usecase |\n| --- |\n| DefaultPartitioningProblem |\n| CheckingGraphforCorrectness<br>EvaluatePartitioningMetrics<br>FastSequentialPartitioning,Mesh<br>GoodSequentialPartitioning,Mesh<br>VeryGoodSequentialPartitioning,Mesh |\n| FastSequentialPartitioning,Social<br>GoodSequentialPartitioning,Social<br>VeryGoodSequentialPartitioning,Social |\n| MappingtoProcessorNetworks |","| Communitysizedistributionτ2 | -1 |\n| --- | --- |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Accuracy | Coverage |  |\n| --- | --- | --- |\n| nikolaosted | 0.919 | 0.014 |\n| sentistrengthmyspace | 0.800 | 0.091 |\n| aisoposntua | 0.787 | 0.526 |\n| tweetsemevaltest | 0.693 | 0.071 |\n| englishdailabor | 0.687 | 0.064 |","| sentistrengthyoutube | 0.686 | 0.085 |\n| --- | --- | --- |\n| sentistrengthtwitter | 0.627 | 0.097 |\n| sentistrengthrw | 0.619 | 0.148 |\n| sentistrengthdigg | 0.600 | 0.028 |\n| sanders | 0.359 | 0.045 |\n| debate | 0.339 | 0.015 |\n| sentistrengthbbc | 0.173 | 0.006 |\n| vadernyt | - | - |",1]
["| Accuracy | Coverage |  |\n| --- | --- | --- |\n| nikolaosted | 0.919 | 0.014 |\n| sentistrengthmyspace | 0.800 | 0.091 |\n| aisoposntua | 0.787 | 0.526 |\n| tweetsemevaltest | 0.693 | 0.071 |\n| englishdailabor | 0.687 | 0.064 |","| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |\n| --- | --- | --- | --- |\n| englishdailabor | 68.4 | 67.1 | 72.4 |\n| aisoposntua | 72.3 | 62.0 | 69.9 |\n| tweetsemevaltest | 58.3 | 62.8 | 65.2 |\n| sentistrengthtwitter | 58.8 | 59.1 | 61.2 |\n| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |\n| sanders | 61.5 | 54.1 | 56.4 |\n| sentistrengthmyspace | 50.2 | 52.3 | 52.2 |\n| sentistrengthdigg | 45.4 | 50.1 | 50.6 |\n| nikolaosted | 51.3 | 45.9 | 49.0 |\n| debate | 57.1 | 45.9 | 47.1 |\n| sentistrengthrw | 48.3 | 48.5 | 45.5 |\n| sentistrengthbbc | 34.8 | 45.5 | 43.8 |\n| vadernyt | 28.0 | 38.9 | 39.2 |",0]
["| Accuracy | Coverage |  |\n| --- | --- | --- |\n| nikolaosted | 0.919 | 0.014 |\n| sentistrengthmyspace | 0.800 | 0.091 |\n| aisoposntua | 0.787 | 0.526 |\n| tweetsemevaltest | 0.693 | 0.071 |\n| englishdailabor | 0.687 | 0.064 |","| sentistrengthyoutube | 0.686 | 0.085 |\n| --- | --- | --- |\n| sentistrengthtwitter | 0.627 | 0.097 |\n| sentistrengthrw | 0.619 | 0.148 |\n| sentistrengthdigg | 0.600 | 0.028 |\n| sanders | 0.359 | 0.045 |\n| debate | 0.339 | 0.015 |\n| sentistrengthbbc | 0.173 | 0.006 |\n| vadernyt | - | - |",1]
["| Accuracy | Coverage |  |\n| --- | --- | --- |\n| nikolaosted | 0.919 | 0.014 |\n| sentistrengthmyspace | 0.800 | 0.091 |\n| aisoposntua | 0.787 | 0.526 |\n| tweetsemevaltest | 0.693 | 0.071 |\n| englishdailabor | 0.687 | 0.064 |","| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |\n| --- | --- | --- | --- |\n| sanders | 61.5 | 54.1 | 56.4 |\n| sentistrengthmyspace | 50.2 | 52.3 | 52.2 |\n| sentistrengthdigg | 45.4 | 50.1 | 50.6 |\n| nikolaosted | 51.3 | 45.9 | 49.0 |\n| debate | 57.1 | 45.9 | 47.1 |\n| sentistrengthrw | 48.3 | 48.5 | 45.5 |\n| sentistrengthbbc | 34.8 | 45.5 | 43.8 |\n| vadernyt | 28.0 | 38.9 | 39.2 |",0]
["| AverageF1score |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 30 | 50 | 100 | 200 | 500 | 10 | 30 | 50 | 100 | 200 |","| 53.17 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 52.16 | 53.74 | 54.36 | 55.24 | 55.60 | 55.06 | 70.61 | 73.00 | 73.84 | 74.94 | 75.32 |\n| 56.54 | 57.42 | 57.85 | 57.87 | 58.22 | 58.39 | 76.45 | 77.64 | 78.14 | 78.52 | 79.07 |\n| 56.27 | 57.74 | 58.49 | 58.76 | 59.12 | 58.88 | 75.04 | 77.83 | 78.72 | 79.23 | 79.67 |\n| 58.66 | 60.04 | 60.56 | 60.18 | 60.48 | 60.17 | 78.25 | 80.15 | 80.59 | 80.20 | 80.27 |",1]
["| AverageF1score |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 30 | 50 | 100 | 200 | 500 | 10 | 30 | 50 | 100 | 200 |","| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |\n| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |\n| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |\n| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |\n| 63,109 | 50,584 | 276 | 13.0s | 2.8s | 1.2s | 1.4s |\n| 269,223 | 160,203 | 712 | 1m22s | 9.8s | 4.4s | 3.7s |\n| 1,625,520 | 827,469 | 2,244 | 9m17s | 50s | 16.8s | 20.3s |\n| 11,040,912 | 5,044,441 | 5,582 | 82m33s | 5m2s | 1m5s | 1m3s |\n|  | 36,633,391 | 14,872 |  | 46m59s | 8m30s | 6m20s |\n|  | 264,463,730 | 49,114 |  | 6h22m56s | 67m31s | 46m37s |\n|  | 1,852,158,881 | 145,276 |  |  | 10h25m45s | 7h43m57s |",0]
["| AverageF1score |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 30 | 50 | 100 | 200 | 500 | 10 | 30 | 50 | 100 | 200 |\n| 53.17 |  |  |  |  |  |  |  |  |  |  |","| 52.16 | 53.74 | 54.36 | 55.24 | 55.60 | 55.06 | 70.61 | 73.00 | 73.84 | 74.94 | 75.32 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 56.54 | 57.42 | 57.85 | 57.87 | 58.22 | 58.39 | 76.45 | 77.64 | 78.14 | 78.52 | 79.07 |\n| 56.27 | 57.74 | 58.49 | 58.76 | 59.12 | 58.88 | 75.04 | 77.83 | 78.72 | 79.23 | 79.67 |\n| 58.66 | 60.04 | 60.56 | 60.18 | 60.48 | 60.17 | 78.25 | 80.15 | 80.59 | 80.20 | 80.27 |",1]
["| AverageF1score |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 30 | 50 | 100 | 200 | 500 | 10 | 30 | 50 | 100 | 200 |\n| 53.17 |  |  |  |  |  |  |  |  |  |  |","| 1,625,520 | 827,469 | 2,244 | 9m17s | 50s | 16.8s | 20.3s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11,040,912 | 5,044,441 | 5,582 | 82m33s | 5m2s | 1m5s | 1m3s |\n|  | 36,633,391 | 14,872 |  | 46m59s | 8m30s | 6m20s |\n|  | 264,463,730 | 49,114 |  | 6h22m56s | 67m31s | 46m37s |\n|  | 1,852,158,881 | 145,276 |  |  | 10h25m45s | 7h43m57s |",0]
["| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |\n| --- | --- | --- |\n| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 |","| GT-Text-State | 0.7852/0.6887/0.7310 | 0.64/0.0598/0.1032 |\n| --- | --- | --- |\n| GT-Title-City | 0.5374/0.5524/0.5406 | 0.8633/0.1651/0.2685 |\n| GT-Text-Name | 0.7201/0.5850/0.6388 | 1/0.2103/0.3351 |\n| GT-Text-Age | 0.8993/0.9156/0.9068 | 0.9102/0.7859/0.8412 |\n| Average | 0.6925/0.6493/0.6658 | 0.8798/0.2835/0.3741 |",1]
["| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |\n| --- | --- | --- |\n| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 |","|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |\n| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |\n| --- | --- | --- |\n| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 |\n| GT-Text-State | 0.7852/0.6887/0.7310 | 0.64/0.0598/0.1032 |","| GT-Title-City | 0.5374/0.5524/0.5406 | 0.8633/0.1651/0.2685 |\n| --- | --- | --- |\n| GT-Text-Name | 0.7201/0.5850/0.6388 | 1/0.2103/0.3351 |\n| GT-Text-Age | 0.8993/0.9156/0.9068 | 0.9102/0.7859/0.8412 |\n| Average | 0.6925/0.6493/0.6658 | 0.8798/0.2835/0.3741 |",1]
["| Ground-truthDataset | OurSystem(P/R/F) | Re-trainedBaseline<br>(P/R/F) |\n| --- | --- | --- |\n| GT-Text-City | 0.5207/0.5050/0.5116 | 0.9855/0.1965/0.3225 |\n| GT-Text-State | 0.7852/0.6887/0.7310 | 0.64/0.0598/0.1032 |","| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["| network | RM | NM | CM | AvgC | ARL | AvgS |\n| --- | --- | --- | --- | --- | --- | --- |\n| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |\n| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |\n| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |\n| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |\n| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |\n| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |\n| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |\n| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |\n| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |\n| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |\n| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |\n| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |\n| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |\n| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |","| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |\n| --- | --- | --- | --- | --- | --- | --- |\n| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |\n| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |\n| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |\n| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |\n| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |\n| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |\n| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |\n| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |\n| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |\n| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |\n| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |\n| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |\n| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |\n| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |\n| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |\n| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |\n| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |\n| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |\n| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 |",1]
["| network | RM | NM | CM | AvgC | ARL | AvgS |\n| --- | --- | --- | --- | --- | --- | --- |\n| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |\n| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |\n| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |\n| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |\n| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |\n| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |\n| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |\n| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |\n| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |\n| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |\n| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |\n| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |\n| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |\n| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |","| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| network | RM | NM | CM | AvgC | ARL | AvgS |\n| --- | --- | --- | --- | --- | --- | --- |\n| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |\n| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |\n| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |\n| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |\n| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |\n| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |\n| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |\n| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |\n| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |\n| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |\n| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |\n| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |\n| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |\n| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |\n| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |\n| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |\n| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |\n| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |\n| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |\n| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |\n| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |\n| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |\n| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |\n| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |\n| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |\n| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |\n| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |\n| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |\n| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |\n| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |\n| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |","| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |\n| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 |",1]
["| network | RM | NM | CM | AvgC | ARL | AvgS |\n| --- | --- | --- | --- | --- | --- | --- |\n| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |\n| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |\n| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |\n| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |\n| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |\n| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |\n| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |\n| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |\n| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |\n| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |\n| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |\n| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |\n| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |\n| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |\n| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |\n| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |\n| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |\n| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |\n| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |\n| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |\n| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |\n| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |\n| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |\n| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |\n| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |\n| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |\n| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |\n| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |\n| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |\n| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |\n| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |","| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |","| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| --- | --- | --- | --- | --- |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",1]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |","|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |","| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| --- | --- | --- | --- | --- |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",1]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |","| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| --- | --- | --- | --- | --- |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["| setting-1 |\n| --- |\n| 54.2 |\n| 75.5 |\n| 76.5 |","| 79.3 |\n| --- |\n| 80.5 |\n| 83.6 |\n| 85.1 |\n| 86.7 |",1]
["| setting-1 |\n| --- |\n| 54.2 |\n| 75.5 |\n| 76.5 |","| CS |\n| --- |\n| 38.6 |\n| 50.1 |\n| 60.2 |\n| 59.1 |\n| 62.9 |\n| 69.2 |\n| 73.4 |\n| 74.4 |\n| 74.6 |\n| 79.6 |\n| 80.0 |\n| 77.0 |\n| 79.8 |\n| 87.9 |\n| 88.4 |\n| 89.1 |",0]
["| setting-1 |\n| --- |\n| 54.2 |\n| 75.5 |","| 76.5 |\n| --- |\n| 79.3 |\n| 80.5 |\n| 83.6 |\n| 85.1 |\n| 86.7 |",1]
["| setting-1 |\n| --- |\n| 54.2 |\n| 75.5 |","| 73.4 |\n| --- |\n| 74.4 |\n| 74.6 |\n| 79.6 |\n| 80.0 |\n| 77.0 |\n| 79.8 |\n| 87.9 |\n| 88.4 |\n| 89.1 |",0]
["| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |\n| --- | --- | --- |\n| MI-HE(HD) | 0.552 | 0.792 |\n| MI-HE(ACE) | 0.442 | 0.699 |","| eFUMI(ACE) | 0.437 | 0.746 |\n| --- | --- | --- |\n| eFUMI(HD) | 0.417 | 0.765 |\n| EM-DD(ACE) | 0.420 | 0.749 |\n| mi-SVM | 0.353 | 0.333 |",1]
["| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |\n| --- | --- | --- |\n| MI-HE(HD) | 0.552 | 0.792 |\n| MI-HE(ACE) | 0.442 | 0.699 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |\n| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |\n| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |\n| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |\n| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |",0]
["| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |\n| --- | --- | --- |\n| MI-HE(HD) | 0.552 | 0.792 |\n| MI-HE(ACE) | 0.442 | 0.699 |\n| eFUMI(ACE) | 0.437 | 0.746 |","| eFUMI(HD) | 0.417 | 0.765 |\n| --- | --- | --- |\n| EM-DD(ACE) | 0.420 | 0.749 |\n| mi-SVM | 0.353 | 0.333 |",1]
["| Algorithm | Train:Flight1,Test:Flight3 | Train:Flight3,Test:Flight1 |\n| --- | --- | --- |\n| MI-HE(HD) | 0.552 | 0.792 |\n| MI-HE(ACE) | 0.442 | 0.699 |\n| eFUMI(ACE) | 0.437 | 0.746 |","| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |\n| --- | --- | --- | --- | --- |\n| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |\n| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |\n| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |",0]
["| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |\n| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 |  |  |\n| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 |  |\n| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 |  |  |\n| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 |  |\n| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 |  |  |\n| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |\n| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 |  |  |\n| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 |  |","| 0.362 | 0.605 | 0.894 | 0.749 | 0.684 | 0.871 | 0.930 | 0.728 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Impr. | 0.08 | 0.43 | 0.89 | 0.56 | 0.60 | 0.05 | 0.91 | 0.50 |  |\n| 0.010 | -0.045 | 0.029 | 0.033 | 0.022 | 0.050 | 0.038 | 0.020 |  |  |\n| 1 | SPDA | 19.21 | 20.17 | 22.69 | 22.62 | 19.94 | 27.02 | 26.41 | 22.58 |\n| 0.304 | 0.587 | 0.821 | 0.632 | 0.609 | 0.778 | 0.823 | 0.650 |  |  |\n| Our | 19.24 | 20.46 | 22.36 | 23.20 | 19.99 | 26.93 | 27.37 | 22.79 |  |\n| 0.315 | 0.537 | 0.819 | 0.677 | 0.621 | 0.826 | 0.880 | 0.668 |  |  |\n| Impr. | 0.03 | 0.28 | -0.33 | 0.57 | 0.04 | -0.09 | 0.96 | 0.21 |  |\n| 0.011 | -0.049 | -0.001 | 0.045 | 0.013 | 0.048 | 0.056 | 0.018 |  |  |\n| 0.5 | SPDAbin | 18.58 | 18.94 | 19.39 | 21.23 | 18.60 | 25.89 | 26.56 | 21.31 |\n| 0.273 | 0.548 | 0.691 | 0.627 | 0.543 | 0.756 | 0.910 | 0.621 |  |  |\n| Our+bin | 18.69 | 19.68 | 19.63 | 21.72 | 18.92 | 26.37 | 27.55 | 21.79 |  |\n| 0.285 | 0.558 | 0.703 | 0.656 | 0.571 | 0.835 | 0.933 | 0.649 |  |  |\n| Impr. | 0.10 | 0.74 | 0.24 | 0.49 | 0.32 | 0.48 | 0.98 | 0.48 |  |\n| 0.012 | 0.010 | 0.012 | 0.030 | 0.028 | 0.079 | 0.023 | 0.028 |  |  |\n| 0.2 | SPDAbin | 17.88 | 17.97 | 18.60 | 19.59 | 17.57 | 24.03 | 23.70 | 19.91 |\n| 0.253 | 0.478 | 0.670 | 0.521 | 0.492 | 0.691 | 0.787 | 0.556 |  |  |\n| Our+bin | 17.83 | 18.29 | 18.58 | 20.16 | 17.56 | 24.09 | 24.88 | 20.20 |  |\n| 0.250 | 0.500 | 0.673 | 0.607 | 0.523 | 0.813 | 0.893 | 0.609 |  |  |\n| Impr. | -0.05 | 0.31 | -0.02 | 0.58 | -0.01 | 0.05 | 1.17 | 0.29 |  |\n| -0.003 | 0.023 | 0.003 | 0.086 | 0.031 | 0.122 | 0.106 | 0.053 |  |  |\n| 0.1 | SPDAbin | 17.04 | 16.80 | 16.22 | 18.78 | 16.29 | 21.94 | 21.99 | 18.44 |\n| 0.222 | 0.493 | 0.578 | 0.567 | 0.477 | 0.656 | 0.827 | 0.546 |  |  |\n| Our+bin | 17.10 | 17.16 | 16.03 | 18.91 | 16.28 | 21.72 | 22.38 | 18.51 |  |\n| 0.227 | 0.462 | 0.592 | 0.590 | 0.491 | 0.787 | 0.874 | 0.575 |  |  |\n| Impr. | 0.06 | 0.36 | -0.19 | 0.13 | -0.01 | -0.11 | 0.38 | 0.07 |  |\n| 0.005 | -0.030 | 0.014 | 0.024 | 0.014 | 0.131 | 0.047 | 0.029 |  |  |",1]
["| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |\n| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 |  |  |\n| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 |  |\n| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 |  |  |\n| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 |  |\n| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 |  |  |\n| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |\n| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 |  |  |\n| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 |  |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |\n| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 |  |  |\n| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 |  |\n| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 |  |  |\n| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 |  |\n| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 |  |  |\n| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |\n| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 |  |  |\n| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 |  |\n| 0.362 | 0.605 | 0.894 | 0.749 | 0.684 | 0.871 | 0.930 | 0.728 |  |  |\n| Impr. | 0.08 | 0.43 | 0.89 | 0.56 | 0.60 | 0.05 | 0.91 | 0.50 |  |\n| 0.010 | -0.045 | 0.029 | 0.033 | 0.022 | 0.050 | 0.038 | 0.020 |  |  |\n| 1 | SPDA | 19.21 | 20.17 | 22.69 | 22.62 | 19.94 | 27.02 | 26.41 | 22.58 |\n| 0.304 | 0.587 | 0.821 | 0.632 | 0.609 | 0.778 | 0.823 | 0.650 |  |  |\n| Our | 19.24 | 20.46 | 22.36 | 23.20 | 19.99 | 26.93 | 27.37 | 22.79 |  |\n| 0.315 | 0.537 | 0.819 | 0.677 | 0.621 | 0.826 | 0.880 | 0.668 |  |  |\n| Impr. | 0.03 | 0.28 | -0.33 | 0.57 | 0.04 | -0.09 | 0.96 | 0.21 |  |\n| 0.011 | -0.049 | -0.001 | 0.045 | 0.013 | 0.048 | 0.056 | 0.018 |  |  |","| 0.5 | SPDAbin | 18.58 | 18.94 | 19.39 | 21.23 | 18.60 | 25.89 | 26.56 | 21.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.273 | 0.548 | 0.691 | 0.627 | 0.543 | 0.756 | 0.910 | 0.621 |  |  |\n| Our+bin | 18.69 | 19.68 | 19.63 | 21.72 | 18.92 | 26.37 | 27.55 | 21.79 |  |\n| 0.285 | 0.558 | 0.703 | 0.656 | 0.571 | 0.835 | 0.933 | 0.649 |  |  |\n| Impr. | 0.10 | 0.74 | 0.24 | 0.49 | 0.32 | 0.48 | 0.98 | 0.48 |  |\n| 0.012 | 0.010 | 0.012 | 0.030 | 0.028 | 0.079 | 0.023 | 0.028 |  |  |\n| 0.2 | SPDAbin | 17.88 | 17.97 | 18.60 | 19.59 | 17.57 | 24.03 | 23.70 | 19.91 |\n| 0.253 | 0.478 | 0.670 | 0.521 | 0.492 | 0.691 | 0.787 | 0.556 |  |  |\n| Our+bin | 17.83 | 18.29 | 18.58 | 20.16 | 17.56 | 24.09 | 24.88 | 20.20 |  |\n| 0.250 | 0.500 | 0.673 | 0.607 | 0.523 | 0.813 | 0.893 | 0.609 |  |  |\n| Impr. | -0.05 | 0.31 | -0.02 | 0.58 | -0.01 | 0.05 | 1.17 | 0.29 |  |\n| -0.003 | 0.023 | 0.003 | 0.086 | 0.031 | 0.122 | 0.106 | 0.053 |  |  |\n| 0.1 | SPDAbin | 17.04 | 16.80 | 16.22 | 18.78 | 16.29 | 21.94 | 21.99 | 18.44 |\n| 0.222 | 0.493 | 0.578 | 0.567 | 0.477 | 0.656 | 0.827 | 0.546 |  |  |\n| Our+bin | 17.10 | 17.16 | 16.03 | 18.91 | 16.28 | 21.72 | 22.38 | 18.51 |  |\n| 0.227 | 0.462 | 0.592 | 0.590 | 0.491 | 0.787 | 0.874 | 0.575 |  |  |\n| Impr. | 0.06 | 0.36 | -0.19 | 0.13 | -0.01 | -0.11 | 0.38 | 0.07 |  |\n| 0.005 | -0.030 | 0.014 | 0.024 | 0.014 | 0.131 | 0.047 | 0.029 |  |  |",1]
["| Peak | Method | Bridge | Camera | Flag | House | Peppers | Saturn | Swoosh | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | SPDA | 20.55 | 21.87 | 26.75 | 26.02 | 22.02 | 31.03 | 32.67 | 25.85 |\n| 0.367 | 0.673 | 0.883 | 0.753 | 0.699 | 0.853 | 0.960 | 0.741 |  |  |\n| Our | 20.92 | 22.84 | 28.35 | 27.15 | 23.68 | 31.43 | 33.71 | 26.87 |  |\n| 0.398 | 0.664 | 0.905 | 0.783 | 0.726 | 0.905 | 0.969 | 0.764 |  |  |\n| Impr. | 0.37 | 0.97 | 1.60 | 1.13 | 1.66 | 0.40 | 1.03 | 1.02 |  |\n| 0.031 | -0.009 | 0.023 | 0.031 | 0.027 | 0.052 | 0.009 | 0.023 |  |  |\n| 2 | SPDA | 21.14 | 21.49 | 25.41 | 25.07 | 21.17 | 29.36 | 29.24 | 24.55 |\n| 0.352 | 0.651 | 0.864 | 0.716 | 0.662 | 0.820 | 0.893 | 0.708 |  |  |\n| Our | 20.22 | 21.93 | 26.30 | 25.63 | 21.77 | 29.41 | 30.15 | 25.06 |  |\n| 0.362 | 0.605 | 0.894 | 0.749 | 0.684 | 0.871 | 0.930 | 0.728 |  |  |\n| Impr. | 0.08 | 0.43 | 0.89 | 0.56 | 0.60 | 0.05 | 0.91 | 0.50 |  |\n| 0.010 | -0.045 | 0.029 | 0.033 | 0.022 | 0.050 | 0.038 | 0.020 |  |  |\n| 1 | SPDA | 19.21 | 20.17 | 22.69 | 22.62 | 19.94 | 27.02 | 26.41 | 22.58 |\n| 0.304 | 0.587 | 0.821 | 0.632 | 0.609 | 0.778 | 0.823 | 0.650 |  |  |\n| Our | 19.24 | 20.46 | 22.36 | 23.20 | 19.99 | 26.93 | 27.37 | 22.79 |  |\n| 0.315 | 0.537 | 0.819 | 0.677 | 0.621 | 0.826 | 0.880 | 0.668 |  |  |\n| Impr. | 0.03 | 0.28 | -0.33 | 0.57 | 0.04 | -0.09 | 0.96 | 0.21 |  |\n| 0.011 | -0.049 | -0.001 | 0.045 | 0.013 | 0.048 | 0.056 | 0.018 |  |  |","| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Methodµ=0.10.20.30.40.50.6 |\n| --- |\n| γ=2,β=1 |","| LMUW0.9170.8530.7690.7320.5910.486<br>LMW0.9310.8820.8170.7890.5990.444 |\n| --- |\n| CPUW0.8680.9010.8410.8680.6910.021<br>CPW0.8790.9000.9050.8560.8460.021 |\n| OSUW0.6990.7030.7050.6940.6580.438<br>OSW0.7000.7040.7070.6950.6680.501 |\n| γ=2,β=2 |\n| LMUW0.8150.6330.6640.4280.5030.334<br>LMW0.8860.7040.6320.5190.4440.377 |\n| CPUW0.8490.8930.8380.8090.7260.028<br>CPW0.9040.8520.8860.7590.7380.028 |\n| OSUW0.6690.6370.6290.6330.5830.462<br>OSW0.6690.6370.6370.6290.6020.505 |\n| γ=3,β=1 |\n| LMUW0.9730.8670.8000.7730.6770.527<br>LMW0.9780.8720.8060.7390.7120.404 |\n| CPUW0.9170.8880.8760.8750.7270.018<br>CPW0.9270.8920.8920.9130.7860.018 |\n| OSUW0.7410.7110.7000.7120.7080.299<br>OSW0.7410.7120.7000.7120.7110.415 |\n| γ=3,β=2 |\n| LMUW0.9360.7880.6920.5630.5320.411<br>LMW0.9470.7450.7490.6330.5840.405 |\n| CPUW0.8810.8920.9000.8850.8440.023<br>CPW0.9110.8750.8990.8890.7700.023 |\n| OSUW0.6970.6720.6650.6710.6520.397<br>OSW0.6970.6720.6650.6720.6520.538 |",1]
["| Methodµ=0.10.20.30.40.50.6 |\n| --- |\n| γ=2,β=1 |","|  | n=70000 | n=90000 | n=110000 | n=130000 |\n| --- | --- | --- | --- | --- |\n| α1<br>β1<br>γ1 | 1.003105865295161<br>4.99550480505<br>1.006973943599736 | 1.004527508419694<br>4.996572933666054<br>1.005569625063884 | 1.005908384957321<br>4.996874637244825<br>1.005525834804714 | 1.004563178701584<br>4.997085464604526<br>1.005443736156998 |\n| α2<br>β2<br>γ2 | 1.997899801933102<br>3.00924729807257<br>6.983912371495364 | 1.994761292346172<br>3.006009800104706<br>6.995712237697553 | 1.996505871342539<br>3.003001585321237<br>7.000067186843735 | 1.997080967404208<br>3.001073196705324<br>6.997260635821995 |\n| α3<br>β3<br>γ3 | 2.992415975197417<br>3.996354421254385<br>2.011169554063575 | 2.991612914024596<br>3.997515526964327<br>2.008509722164336 | 2.992789808210174<br>3.997543539027272<br>2.00122548779379 | 2.994439000075413<br>3.998591070496656<br>2.002206053742553 |\n| α4<br>β4<br>γ4 | 4.000763964265582<br>2.00318031010065<br>5.995614482020844 | 4.001485378474737<br>2.003537621477507<br>5.991712343275934 | 4.000474073657129<br>2.004098062824868<br>5.995947427021777 | 4.001167686028979<br>2.003664771868191<br>5.998250617490456 |",0]
["| Methodµ=0.10.20.30.40.50.6 |\n| --- |\n| γ=2,β=1 |\n| LMUW0.9170.8530.7690.7320.5910.486<br>LMW0.9310.8820.8170.7890.5990.444 |\n| CPUW0.8680.9010.8410.8680.6910.021<br>CPW0.8790.9000.9050.8560.8460.021 |\n| OSUW0.6990.7030.7050.6940.6580.438<br>OSW0.7000.7040.7070.6950.6680.501 |\n| γ=2,β=2 |\n| LMUW0.8150.6330.6640.4280.5030.334<br>LMW0.8860.7040.6320.5190.4440.377 |\n| CPUW0.8490.8930.8380.8090.7260.028<br>CPW0.9040.8520.8860.7590.7380.028 |\n| OSUW0.6690.6370.6290.6330.5830.462<br>OSW0.6690.6370.6370.6290.6020.505 |\n| γ=3,β=1 |","| LMUW0.9730.8670.8000.7730.6770.527<br>LMW0.9780.8720.8060.7390.7120.404 |\n| --- |\n| CPUW0.9170.8880.8760.8750.7270.018<br>CPW0.9270.8920.8920.9130.7860.018 |\n| OSUW0.7410.7110.7000.7120.7080.299<br>OSW0.7410.7120.7000.7120.7110.415 |\n| γ=3,β=2 |\n| LMUW0.9360.7880.6920.5630.5320.411<br>LMW0.9470.7450.7490.6330.5840.405 |\n| CPUW0.8810.8920.9000.8850.8440.023<br>CPW0.9110.8750.8990.8890.7700.023 |\n| OSUW0.6970.6720.6650.6710.6520.397<br>OSW0.6970.6720.6650.6720.6520.538 |",1]
["| Methodµ=0.10.20.30.40.50.6 |\n| --- |\n| γ=2,β=1 |\n| LMUW0.9170.8530.7690.7320.5910.486<br>LMW0.9310.8820.8170.7890.5990.444 |\n| CPUW0.8680.9010.8410.8680.6910.021<br>CPW0.8790.9000.9050.8560.8460.021 |\n| OSUW0.6990.7030.7050.6940.6580.438<br>OSW0.7000.7040.7070.6950.6680.501 |\n| γ=2,β=2 |\n| LMUW0.8150.6330.6640.4280.5030.334<br>LMW0.8860.7040.6320.5190.4440.377 |\n| CPUW0.8490.8930.8380.8090.7260.028<br>CPW0.9040.8520.8860.7590.7380.028 |\n| OSUW0.6690.6370.6290.6330.5830.462<br>OSW0.6690.6370.6370.6290.6020.505 |\n| γ=3,β=1 |","| α3<br>β3<br>γ3 | 2.992415975197417<br>3.996354421254385<br>2.011169554063575 | 2.991612914024596<br>3.997515526964327<br>2.008509722164336 | 2.992789808210174<br>3.997543539027272<br>2.00122548779379 | 2.994439000075413<br>3.998591070496656<br>2.002206053742553 |\n| --- | --- | --- | --- | --- |\n| α4<br>β4<br>γ4 | 4.000763964265582<br>2.00318031010065<br>5.995614482020844 | 4.001485378474737<br>2.003537621477507<br>5.991712343275934 | 4.000474073657129<br>2.004098062824868<br>5.995947427021777 | 4.001167686028979<br>2.003664771868191<br>5.998250617490456 |",0]
["| Method | Adapt | BBN |  |  |\n| --- | --- | --- | --- | --- |\n| Ma-F1 | Mi-F1 | Acc. |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |","|  |  | OntoNotes |  |  |\n| --- | --- | --- | --- | --- |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |\n|  |  | Wiki |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 |",1]
["| Method | Adapt | BBN |  |  |\n| --- | --- | --- | --- | --- |\n| Ma-F1 | Mi-F1 | Acc. |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |","| Object | Method | MaxF1 | Runtime[s] |\n| --- | --- | --- | --- |\n| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |\n| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |\n| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |\n| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 |",0]
["| Method | Adapt | BBN |  |  |\n| --- | --- | --- | --- | --- |\n| Ma-F1 | Mi-F1 | Acc. |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |\n|  |  | OntoNotes |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |","|  |  | Wiki |  |  |\n| --- | --- | --- | --- | --- |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 |",1]
["| Method | Adapt | BBN |  |  |\n| --- | --- | --- | --- | --- |\n| Ma-F1 | Mi-F1 | Acc. |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |\n|  |  | OntoNotes |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |","| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |\n| --- | --- | --- | --- |\n| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |\n| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |","| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| --- |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |","| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| --- |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |","| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| --- |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 |","| Baseline | 2,584±126 | 3,483±518 | 1,308±432 | 3,174±675 |\n| --- | --- | --- | --- | --- |\n| MIMB | 1,102±85 | 1,843±210 | 922±204 | 1,738±184 |",1]
["| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 |","| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,342±2248 | 54,454±3959 | 24,714±3336 | 52,042±3010 |\n| Baseline | 2,568±303 | 4,983±528 | 1,805±486 | 3,837±598 |\n| MIMB | 1,390±196 | 2,400±747 | 1,332±179 | 2,166±307 |",0]
["| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 |","| Baseline | 2,584±126 | 3,483±518 | 1,308±432 | 3,174±675 |\n| --- | --- | --- | --- | --- |\n| MIMB | 1,102±85 | 1,843±210 | 922±204 | 1,738±184 |",1]
["| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 |","| Baseline | 2,568±303 | 4,983±528 | 1,805±486 | 3,837±598 |\n| --- | --- | --- | --- | --- |\n| MIMB | 1,390±196 | 2,400±747 | 1,332±179 | 2,166±307 |",0]
["| Space(MB) | k=s11 | k2 | s2 |\n| --- | --- | --- | --- |\n| 1.009 | 4,200 | 63,000 | 20 |\n| 3.941 | 8,400 | 252,000 | 40 |","| 15.573 | 16,800 | 1,008,000 | 80 |\n| --- | --- | --- | --- |\n| 61.908 | 33,600 | 4,032,000 | 160 |",1]
["| Space(MB) | k=s11 | k2 | s2 |\n| --- | --- | --- | --- |\n| 1.009 | 4,200 | 63,000 | 20 |\n| 3.941 | 8,400 | 252,000 | 40 |","| N | exp | s,i1 | s,i2 | s,s,i | f,i |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1 | 0.4 | 2 | 7 | 9 |\n| 128 | 5 | 0.7 | 3 | 30 | 39 |\n| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",0]
["| Space(MB) | k=s11 | k2 | s2 |\n| --- | --- | --- | --- |\n| 1.009 | 4,200 | 63,000 | 20 |","| 3.941 | 8,400 | 252,000 | 40 |\n| --- | --- | --- | --- |\n| 15.573 | 16,800 | 1,008,000 | 80 |\n| 61.908 | 33,600 | 4,032,000 | 160 |",1]
["| Space(MB) | k=s11 | k2 | s2 |\n| --- | --- | --- | --- |\n| 1.009 | 4,200 | 63,000 | 20 |","| 128 | 5 | 0.7 | 3 | 30 | 39 |\n| --- | --- | --- | --- | --- | --- |\n| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",0]
["| ResultsforhighSNRandﬁnermesh |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | VolumeRatio | HausdorﬀDistance | MASD(×10) |  |  |  |\n|  | LR | SRR | LR | SRR | LR | SRR |\n| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |\n| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |\n| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 |","| ResultsforlowSNRandcoarsermesh |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | VolumeRatio | HausdorﬀDistance | MASD(×10) |  |  |  |\n|  | LR | SRR | LR | SRR | LR | SRR |\n| NOSER | 0.51 | 0.81/0.75 | 0.154 | 0.076/0.081 | 1.14 | 0.25/0.33 |\n| TV | 0.46 | 0.79/0.73 | 0.216 | 0.085/0.087 | 1.85 | 0.31/0.39 |\n| TS | 0.69 | 0.84/0.78 | 0.100 | 0.064/0.067 | 0.46 | 0.18/0.24 |",1]
["| ResultsforhighSNRandﬁnermesh |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | VolumeRatio | HausdorﬀDistance | MASD(×10) |  |  |  |\n|  | LR | SRR | LR | SRR | LR | SRR |\n| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |\n| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |\n| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 |","| l | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 4.7 | 51 | 110 | 340 | - | - | - | - |\n| DL | 0.11 | 6.4 | 44 | 210 | - | - | - | - |\n| BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |\n| HBC | 110 | - | - | - | - | - | - | - |\n| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |\n| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |\n| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |\n| \\|F\\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| \\|F\\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |\n| \\|dual(F)\\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |\n| \\|S\\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 |",0]
["| ResultsforhighSNRandﬁnermesh |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | VolumeRatio | HausdorﬀDistance | MASD(×10) |  |  |  |\n|  | LR | SRR | LR | SRR | LR | SRR |\n| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |\n| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |\n| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 |\n| ResultsforlowSNRandcoarsermesh |  |  |  |  |  |  |\n|  | VolumeRatio | HausdorﬀDistance | MASD(×10) |  |  |  |\n|  | LR | SRR | LR | SRR | LR | SRR |","| NOSER | 0.51 | 0.81/0.75 | 0.154 | 0.076/0.081 | 1.14 | 0.25/0.33 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TV | 0.46 | 0.79/0.73 | 0.216 | 0.085/0.087 | 1.85 | 0.31/0.39 |\n| TS | 0.69 | 0.84/0.78 | 0.100 | 0.064/0.067 | 0.46 | 0.18/0.24 |",1]
["| ResultsforhighSNRandﬁnermesh |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | VolumeRatio | HausdorﬀDistance | MASD(×10) |  |  |  |\n|  | LR | SRR | LR | SRR | LR | SRR |\n| NOSER | 0.78 | 0.91/0.83 | 0.083 | 0.033/0.036 | 0.23 | 0.05/0.11 |\n| TV | 0.70 | 0.87/0.80 | 0.174 | 0.086/0.081 | 0.81 | 0.30/0.31 |\n| TS | 0.83 | 0.92/0.84 | 0.064 | 0.030/0.035 | 0.13 | 0.04/0.10 |\n| ResultsforlowSNRandcoarsermesh |  |  |  |  |  |  |\n|  | VolumeRatio | HausdorﬀDistance | MASD(×10) |  |  |  |\n|  | LR | SRR | LR | SRR | LR | SRR |","| BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HBC | 110 | - | - | - | - | - | - | - |\n| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |\n| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |\n| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |\n| \\|F\\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| \\|F\\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |\n| \\|dual(F)\\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |\n| \\|S\\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 |",0]
["| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LB | UB | LB | UB | LB | UB | LB | UB |","| I | 30.2 | 67.8 | 4 | 45 | 1498.1 | 4094.3 | 225 | 432 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| II | 48.6 | 100.8 | 42 | 93 | 1195.1 | 6298.3 | 306 | 621 |\n| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 |\n| IV | 1.9 | 23.8 | 1 | 23 | 26.32 | 92.7 | 40 | 65 |\n| V | 33.4 | 127.9 | 8 | 105 | 1132.7 | 7465.2 | 266 | 605 |",1]
["| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LB | UB | LB | UB | LB | UB | LB | UB |","| N | Range | AverageExpSup |\n| --- | --- | --- |\n| 1 | [0.0,0.2) | 1,558.9 |\n| 2 | [0.2,0.4) | 1,355.3 |\n| 3 | [0.4,0.6) | 1,017.1 |\n| 4 | [0.6,0.8) | 649.9 |\n| 5 | [0.8,1.0) | 353.3 |\n| 6 | [1.0,1.2) | 155.9 |\n| 7 | [1.2,1.4) | 52.8 |\n| 8 | [1.4,1.6) | 16.6 |\n| 9 | [1.6,1.8) | 8.3 |\n| 10 | [1.8,2.0) | 5.7 |",0]
["| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LB | UB | LB | UB | LB | UB | LB | UB |  |\n| I | 30.2 | 67.8 | 4 | 45 | 1498.1 | 4094.3 | 225 | 432 |\n| II | 48.6 | 100.8 | 42 | 93 | 1195.1 | 6298.3 | 306 | 621 |\n| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 |","| IV | 1.9 | 23.8 | 1 | 23 | 26.32 | 92.7 | 40 | 65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| V | 33.4 | 127.9 | 8 | 105 | 1132.7 | 7465.2 | 266 | 605 |",1]
["| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LB | UB | LB | UB | LB | UB | LB | UB |  |\n| I | 30.2 | 67.8 | 4 | 45 | 1498.1 | 4094.3 | 225 | 432 |\n| II | 48.6 | 100.8 | 42 | 93 | 1195.1 | 6298.3 | 306 | 621 |\n| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 |","| 9 | [1.6,1.8) | 8.3 |\n| --- | --- | --- |\n| 10 | [1.8,2.0) | 5.7 |",0]
["|  | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| n=10 | 15 | 15 | 16 | 32 | 31 | 32 |\n| n=20 | 109 | 250 | 391 | 531 | 687 | 843 |","| n=30 | 609 | 1484 | 2468 | 3406 | 4469 | 5610 |\n| --- | --- | --- | --- | --- | --- | --- |\n| n=40 | 2219 | 7391 | 12828 | 18219 | 24484 | 29625 |\n| n=50 | 5500 | 17874 | 34078 | 49952 | 66749 | 82328 |\n| n=60 | 12203 | 42625 | 87922 | 138906 | 192843 | 242734 |\n| n=70 | 22734 | 81453 | 169250 | 286188 | 405500 | 536641 |\n| n=80 | 46015 | 165875 | 350641 | 619921 | 911781 | 1202375 |\n| n=90 | 92125 | 332641 | 708859 | 1262938 | 1894657 | 2525360 |\n| n=100 | 159250 | 587282 | 1282610 | 2220610 | 3505532 | 4899657 |",1]
["|  | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| n=10 | 15 | 15 | 16 | 32 | 31 | 32 |\n| n=20 | 109 | 250 | 391 | 531 | 687 | 843 |","| N= | K=10 | K=15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PTP | RTP | VBP | PTP | RTP | VBP |  |\n| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |\n| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |\n| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |\n| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",0]
["|  | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| n=10 | 15 | 15 | 16 | 32 | 31 | 32 |","| n=20 | 109 | 250 | 391 | 531 | 687 | 843 |\n| --- | --- | --- | --- | --- | --- | --- |\n| n=30 | 609 | 1484 | 2468 | 3406 | 4469 | 5610 |\n| n=40 | 2219 | 7391 | 12828 | 18219 | 24484 | 29625 |\n| n=50 | 5500 | 17874 | 34078 | 49952 | 66749 | 82328 |\n| n=60 | 12203 | 42625 | 87922 | 138906 | 192843 | 242734 |\n| n=70 | 22734 | 81453 | 169250 | 286188 | 405500 | 536641 |\n| n=80 | 46015 | 165875 | 350641 | 619921 | 911781 | 1202375 |\n| n=90 | 92125 | 332641 | 708859 | 1262938 | 1894657 | 2525360 |\n| n=100 | 159250 | 587282 | 1282610 | 2220610 | 3505532 | 4899657 |",1]
["|  | p=10 | p=20 | p=30 | p=40 | p=50 | p=60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| n=10 | 15 | 15 | 16 | 32 | 31 | 32 |","| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |\n| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",0]
["| Advantages | Disadvantages |\n| --- | --- |\n| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |\n| ProlongedBattery | ExcessiveCommunicationOverheadandTraﬃc |","| ExpandedStorage | UnauthorizedAccesstooﬄoadedData |\n| --- | --- |\n| IncreasedDataSafety | ApplicationDevelopmentComplexity |\n| UbiquitousDataAccess<br>andContentSharing | PaidInfrastructures |\n| ProtectedOﬄoadedContents | InconsistentCloudPoliciesandRestrictions |\n| EnrichedUserInterface | ServiceNegotiationandControl |\n| EnhancedApplicationGeneration | Nil |",1]
["| Advantages | Disadvantages |\n| --- | --- |\n| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |\n| ProlongedBattery | ExcessiveCommunicationOverheadandTraﬃc |","| CloudSim[24] | GreenCloud[9] | iCanCloud[3] |\n| --- | --- | --- |\n| any | NS2 | OMNET,MPI |\n| Java | C++/OTcl | C++ |\n| OpenSource | OpenSource | OpenSource |\n| Limited(ViaCloudAnalyst) | N | N |\n| N | Limited(ViaPlug-in) | Y |\n| N | N | Y |\n| N | N | Y |\n| Y | Y | N |\n| Y | N | N |\n| Seconds | Tensofminutes | seconds |\n| small | large | medium |",0]
["| Advantages | Disadvantages |\n| --- | --- |\n| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |\n| ProlongedBattery | ExcessiveCommunicationOverheadandTraﬃc |\n| ExpandedStorage | UnauthorizedAccesstooﬄoadedData |\n| IncreasedDataSafety | ApplicationDevelopmentComplexity |\n| UbiquitousDataAccess<br>andContentSharing | PaidInfrastructures |","| ProtectedOﬄoadedContents | InconsistentCloudPoliciesandRestrictions |\n| --- | --- |\n| EnrichedUserInterface | ServiceNegotiationandControl |\n| EnhancedApplicationGeneration | Nil |",1]
["| Advantages | Disadvantages |\n| --- | --- |\n| EmpoweredProcessing | DependencytoHighPerformanceNetworkingInfrastructure |\n| ProlongedBattery | ExcessiveCommunicationOverheadandTraﬃc |\n| ExpandedStorage | UnauthorizedAccesstooﬄoadedData |\n| IncreasedDataSafety | ApplicationDevelopmentComplexity |\n| UbiquitousDataAccess<br>andContentSharing | PaidInfrastructures |","| N | N | Y |\n| --- | --- | --- |\n| N | N | Y |\n| Y | Y | N |\n| Y | N | N |\n| Seconds | Tensofminutes | seconds |\n| small | large | medium |",0]
["| Dataset | NumberofRecords | NumberofItems |\n| --- | --- | --- |\n| BMS-POS | 515,597 | 1,657 |","| Kosarak | 990,002 | 41,270 |\n| --- | --- | --- |\n| AOL | 647,377 | 2,290,685 |\n| Zipf | 1,000,000 | 10,000 |",1]
["| Dataset | NumberofRecords | NumberofItems |\n| --- | --- | --- |\n| BMS-POS | 515,597 | 1,657 |","| Dataset | Size | Dataset | Size |\n| --- | --- | --- | --- |\n| Coﬀeeshops1 | 1733 | Inn1 | 1108 |\n| Coﬀeeshops2 | 1807 | Inn2 | 1265 |\n| Starbucks | 149 | Home-Inn | 235 |\n| Costa | 75 | JinJiang | 57 |",0]
["| Dataset | NumberofRecords | NumberofItems |\n| --- | --- | --- |\n| BMS-POS | 515,597 | 1,657 |","| Kosarak | 990,002 | 41,270 |\n| --- | --- | --- |\n| AOL | 647,377 | 2,290,685 |\n| Zipf | 1,000,000 | 10,000 |",1]
["| Dataset | NumberofRecords | NumberofItems |\n| --- | --- | --- |\n| BMS-POS | 515,597 | 1,657 |","| Coﬀeeshops2 | 1807 | Inn2 | 1265 |\n| --- | --- | --- | --- |\n| Starbucks | 149 | Home-Inn | 235 |\n| Costa | 75 | JinJiang | 57 |",0]
["| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |\n|  | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |\n|  | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |\n|  | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |\n|  | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |","|  | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |\n| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",1]
["| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |\n|  | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |\n|  | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |\n|  | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |\n|  | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |","| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |\n|  | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |\n|  | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |\n|  | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |\n|  | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |\n|  | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |\n|  | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |","| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",1]
["| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |\n|  | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |\n|  | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |\n|  | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |\n|  | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |\n|  | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |\n|  | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |","| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |\n| --- | --- | --- | --- | --- | --- |\n| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |\n| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |\n| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 |","| p4meet12 | 0.0802 | 0.0862 | 0.0972 | 0.0821 | 0.0815 |\n| --- | --- | --- | --- | --- | --- |\n| p4table12 | 0.2313 | 0.1588 | 0.1322 | 0.2313 | 0.0994 |",1]
["| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |\n| --- | --- | --- | --- | --- | --- |\n| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |\n| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |\n| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 |","| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |\n| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |\n| --- | --- | --- | --- | --- | --- |\n| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |\n| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |\n| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 |","| p4meet12 | 0.0802 | 0.0862 | 0.0972 | 0.0821 | 0.0815 |\n| --- | --- | --- | --- | --- | --- |\n| p4table12 | 0.2313 | 0.1588 | 0.1322 | 0.2313 | 0.0994 |",1]
["| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |\n| --- | --- | --- | --- | --- | --- |\n| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |\n| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |\n| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 |","| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| Method | Book-AuthorDataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 |","| LTM<br>MBM<br>MTD-hrd | 0.820.650.73<br>0.830.740.78<br>0.830.580.68 | 0.820.620.71<br>0.820.710.76<br>0.820.590.69 | 0.98<br>0.67<br>0.72 | 0.870.900.88<br>0.900.920.91<br>0.900.900.90 | 0.860.890.87<br>0.870.900.88<br>0.870.890.88 |\n| --- | --- | --- | --- | --- | --- |\n| SmartMTD | 0.830.750.79 | 0.830.780.80 | 0.43 | 0.900.930.91 | 0.930.920.93 |",1]
["| Method | Book-AuthorDataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 |","| Dataset | Method | Prec. | Rec. | Acc. | Spec. | F. | Avg. | Cm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Book | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.749<br>0.851<br>0.841<br>0.815<br>0.812<br>0.847<br>0.863<br>0.828<br>0.858<br>0.850<br>0.861<br>0.846 | 0.712<br>0.685<br>0.663<br>0.745<br>0.750<br>0.663<br>0.755<br>0.734<br>0.788<br>0.679<br>0.810<br>0.658 | 0.576<br>0.651<br>0.629<br>0.659<br>0.659<br>0.633<br>0.707<br>0.664<br>0.725<br>0.646<br>0.742<br>0.629 | 0.022<br>0.511<br>0.489<br>0.311<br>0.289<br>0.511<br>0.511<br>0.378<br>0.467<br>0.511<br>0.467<br>0.511 | 0.730<br>0.759<br>0.742<br>0.778<br>0.780<br>0.744<br>0.806<br>0.778<br>0.822<br>0.755<br>0.835<br>0.740 | 0.515<br>0.674<br>0.656<br>0.633<br>0.628<br>0.664<br>0.709<br>0.651<br>0.709<br>0.672<br>0.720<br>0.661 | -26258<br>-23011<br>-23477<br>-23860<br>-23435<br>-23303<br>-21915<br>-24907<br>-21390<br>-22751<br>-21670<br>-23243 |\n| Cos | 0.980 | 0.865 | 0.901 | 0.861 | 0.909 | 0.985 | 1.000 |  |\n| Children | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.919<br>0.938<br>0.938<br>0.915<br>0.912<br>0.938<br>0.940<br>0.905<br>0.941<br>0.938<br>0.942<br>0.938 | 0.901<br>0.927<br>0.926<br>0.919<br>0.912<br>0.926<br>0.927<br>0.889<br>0.928<br>0.927<br>0.927<br>0.924 | 0.845<br>0.883<br>0.882<br>0.841<br>0.839<br>0.881<br>0.885<br>0.822<br>0.885<br>0.883<br>0.886<br>0.876 | 0.462<br>0.585<br>0.581<br>0.457<br>0.454<br>0.581<br>0.595<br>0.366<br>0.588<br>0.586<br>0.601<br>0.578 | 0.910<br>0.933<br>0.932<br>0.917<br>0.912<br>0.932<br>0.933<br>0.897<br>0.934<br>0.932<br>0.935<br>0.931 | 0.782<br>0.833<br>0.832<br>0.783<br>0.779<br>0.832<br>0.836<br>0.746<br>0.836<br>0.833<br>0.839<br>0.829 | -330234<br>-314582<br>-314124<br>-331351<br>-331523<br>-315231<br>-309873<br>-340031<br>-310314<br>-313421<br>-302873<br>-321098 |\n| Cos. | 0.994 | 0.989 | 0.997 | 0.999 | 0.992 | 0.998 | 1.000 |  |",0]
["| Method | Book-AuthorDataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 |","| LTM<br>MBM<br>MTD-hrd | 0.820.650.73<br>0.830.740.78<br>0.830.580.68 | 0.820.620.71<br>0.820.710.76<br>0.820.590.69 | 0.98<br>0.67<br>0.72 | 0.870.900.88<br>0.900.920.91<br>0.900.900.90 | 0.860.890.87<br>0.870.900.88<br>0.870.890.88 |\n| --- | --- | --- | --- | --- | --- |\n| SmartMTD | 0.830.750.79 | 0.830.780.80 | 0.43 | 0.900.930.91 | 0.930.920.93 |",1]
["| Method | Book-AuthorDataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| Voting<br>Sums<br>Avg-Log<br>TruthFinder<br>2-Estimates | 0.840.630.72<br>0.840.640.73<br>0.830.600.70<br>0.840.600.70<br>0.810.700.75 | 0.830.640.72<br>0.830.640.72<br>0.830.640.72<br>0.830.600.70<br>0.800.680.74 | 0.07<br>0.85<br>0.61<br>0.74<br>0.38 | 0.880.850.87<br>0.900.890.90<br>0.900.890.89<br>0.900.890.90<br>0.910.890.90 | 0.690.680.69<br>0.880.860.87<br>0.880.860.87<br>0.880.850.86<br>0.880.860.87 |","| Children | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.919<br>0.938<br>0.938<br>0.915<br>0.912<br>0.938<br>0.940<br>0.905<br>0.941<br>0.938<br>0.942<br>0.938 | 0.901<br>0.927<br>0.926<br>0.919<br>0.912<br>0.926<br>0.927<br>0.889<br>0.928<br>0.927<br>0.927<br>0.924 | 0.845<br>0.883<br>0.882<br>0.841<br>0.839<br>0.881<br>0.885<br>0.822<br>0.885<br>0.883<br>0.886<br>0.876 | 0.462<br>0.585<br>0.581<br>0.457<br>0.454<br>0.581<br>0.595<br>0.366<br>0.588<br>0.586<br>0.601<br>0.578 | 0.910<br>0.933<br>0.932<br>0.917<br>0.912<br>0.932<br>0.933<br>0.897<br>0.934<br>0.932<br>0.935<br>0.931 | 0.782<br>0.833<br>0.832<br>0.783<br>0.779<br>0.832<br>0.836<br>0.746<br>0.836<br>0.833<br>0.839<br>0.829 | -330234<br>-314582<br>-314124<br>-331351<br>-331523<br>-315231<br>-309873<br>-340031<br>-310314<br>-313421<br>-302873<br>-321098 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cos. | 0.994 | 0.989 | 0.997 | 0.999 | 0.992 | 0.998 | 1.000 |  |",0]
["| BlockingOps | NonblockingOps | Classes |\n| --- | --- | --- |\n| rbc::Bcast | rbc::Ibcast | rbc::Request |\n| rbc::Reduce | rbc::Ireduce | rbc::Comm |\n| rbc::Scan | rbc::Iscan |  |","| rbc::Gather<br>rbc::Gatherv | rbc::Igather<br>rbc::Igatherv |  |\n| --- | --- | --- |\n| rbc::Barrier | rbc::Ibarrier |  |\n| rbc::Send<br>rbc::Recv | rbc::Isend<br>rbc::Irecv |  |\n| rbc::Probe<br>rbc::Wait<br>rbc::Waitall | rbc::Iprobe<br>rbc::Test |  |\n|  | rbc::CreateRBCComm<br>rbc::SplitRBCComm<br>rbc::Commrank<br>rbc::Commsize |  |",1]
["| BlockingOps | NonblockingOps | Classes |\n| --- | --- | --- |\n| rbc::Bcast | rbc::Ibcast | rbc::Request |\n| rbc::Reduce | rbc::Ireduce | rbc::Comm |\n| rbc::Scan | rbc::Iscan |  |","| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| --- | --- | --- | --- |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 0.81127<br>0.761437<br>0.621454<br>0.38012<br>0.5319112<br>0.640110<br>0.890117<br>0.681383<br>0.5214186<br>0.91025<br>0.78013<br>0.500223<br>0.4815106<br>0.4714152<br>0.4913160<br>0.41128k<br>0.4013518<br>0.391313k<br>0.391313k<br>0.5214186<br>0.440315 | 0.94015<br>0.880241<br>0.720354<br>0.49019<br>0.661570<br>0.720113<br>0.980127<br>0.781385<br>0.6013137<br>0.97016<br>0.84013<br>0.590148<br>0.5514185<br>0.530333<br>0.5502103<br>0.4812233<br>0.490291<br>0.4812518<br>0.4812574<br>0.6013137<br>0.590235 | 0.99017<br>0.930244<br>0.840243<br>0.570114<br>0.790347<br>0.800142<br>10130<br>0.870171<br>0.6812158<br>1016<br>0.89015<br>0.660166<br>0.6203158<br>0.610340<br>0.6102125<br>0.5902110<br>0.590170<br>0.560188<br>0.5601108<br>0.6812158<br>0.660153 |\n| average | 0.570.673.051725 | 0.660.382.14114 | 0.740.101.5769 |\n| ratio=0.25ratio=0.3ratio=0.35 |  |  |  |\n| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 1018<br>10149<br>0.970136<br>0.740131<br>0.950258<br>0.9301143<br>10130<br>0.970172<br>0.8202106<br>1016<br>0.99015<br>0.8001185<br>0.7802128<br>0.7402114<br>0.7401193<br>0.7301132<br>0.710171<br>0.710189<br>0.7101115<br>0.8202106<br>0.8301245 | 1018<br>10149<br>0.990138<br>0.840120<br>0.990156<br>0.9701165<br>10130<br>10172<br>0.9201112<br>1016<br>1015<br>0.9101227<br>0.9002142<br>0.880167<br>0.8801172<br>0.8901145<br>0.820178<br>0.830191<br>0.8301121<br>0.9201112<br>0.9001407 | 1018<br>10149<br>10138<br>0.900120<br>10156<br>101236<br>10130<br>10172<br>0.9501119<br>1016<br>1015<br>0.9501240<br>0.9401129<br>0.940170<br>0.9401173<br>0.9501148<br>0.890178<br>0.900195<br>0.9001122<br>0.9501119<br>0.96011k |\n| average | 0.8501.2492 | 0.9301.05101 | 0.9601139 |",0]
["| BlockingOps | NonblockingOps | Classes |\n| --- | --- | --- |\n| rbc::Bcast | rbc::Ibcast | rbc::Request |\n| rbc::Reduce | rbc::Ireduce | rbc::Comm |\n| rbc::Scan | rbc::Iscan |  |\n| rbc::Gather<br>rbc::Gatherv | rbc::Igather<br>rbc::Igatherv |  |\n| rbc::Barrier | rbc::Ibarrier |  |","| rbc::Send<br>rbc::Recv | rbc::Isend<br>rbc::Irecv |  |\n| --- | --- | --- |\n| rbc::Probe<br>rbc::Wait<br>rbc::Waitall | rbc::Iprobe<br>rbc::Test |  |\n|  | rbc::CreateRBCComm<br>rbc::SplitRBCComm<br>rbc::Commrank<br>rbc::Commsize |  |",1]
["| BlockingOps | NonblockingOps | Classes |\n| --- | --- | --- |\n| rbc::Bcast | rbc::Ibcast | rbc::Request |\n| rbc::Reduce | rbc::Ireduce | rbc::Comm |\n| rbc::Scan | rbc::Iscan |  |\n| rbc::Gather<br>rbc::Gatherv | rbc::Igather<br>rbc::Igatherv |  |\n| rbc::Barrier | rbc::Ibarrier |  |","| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 1018<br>10149<br>0.970136<br>0.740131<br>0.950258<br>0.9301143<br>10130<br>0.970172<br>0.8202106<br>1016<br>0.99015<br>0.8001185<br>0.7802128<br>0.7402114<br>0.7401193<br>0.7301132<br>0.710171<br>0.710189<br>0.7101115<br>0.8202106<br>0.8301245 | 1018<br>10149<br>0.990138<br>0.840120<br>0.990156<br>0.9701165<br>10130<br>10172<br>0.9201112<br>1016<br>1015<br>0.9101227<br>0.9002142<br>0.880167<br>0.8801172<br>0.8901145<br>0.820178<br>0.830191<br>0.8301121<br>0.9201112<br>0.9001407 | 1018<br>10149<br>10138<br>0.900120<br>10156<br>101236<br>10130<br>10172<br>0.9501119<br>1016<br>1015<br>0.9501240<br>0.9401129<br>0.940170<br>0.9401173<br>0.9501148<br>0.890178<br>0.900195<br>0.9001122<br>0.9501119<br>0.96011k |\n| --- | --- | --- | --- |\n| average | 0.8501.2492 | 0.9301.05101 | 0.9601139 |",0]
["| MethodNameDescription |\n| --- |\n| ExtractSynonymWordreturnssynonymsofaword |\n| ExtractHypernymWordreturnshyponymsofaword |","| ExtractSynonymSentencereturnssynonymsofwordsinasentence |\n| --- |\n| ExtractSynonymFilereturnssynonymsofwordsinaﬁle |",1]
["| MethodNameDescription |\n| --- |\n| ExtractSynonymWordreturnssynonymsofaword |\n| ExtractHypernymWordreturnshyponymsofaword |","| MethodNameDescription |\n| --- |\n| ExtractEmailAddressFileReturnsEmailaddressesexistinﬁle |\n| ExtractEmailAddressSentenceReturnsEmailaddressesexistinasentence |\n| ExtractIPAddressSentenceReturnsIPaddressesexistinasentence |\n| ExtractIPAddressFileReturnsIPaddressesexistinﬁle |",0]
["| MethodNameDescription |\n| --- |\n| ExtractSynonymWordreturnssynonymsofaword |","| ExtractHypernymWordreturnshyponymsofaword |\n| --- |\n| ExtractSynonymSentencereturnssynonymsofwordsinasentence |\n| ExtractSynonymFilereturnssynonymsofwordsinaﬁle |",1]
["| MethodNameDescription |\n| --- |\n| ExtractSynonymWordreturnssynonymsofaword |","| ExtractEmailAddressSentenceReturnsEmailaddressesexistinasentence |\n| --- |\n| ExtractIPAddressSentenceReturnsIPaddressesexistinasentence |\n| ExtractIPAddressFileReturnsIPaddressesexistinﬁle |",0]
["| 20,000 | 0.452 |\n| --- | --- |\n| 200,000 | 0.540 |\n| 16,384 | 0.626 |","| 8,192 | 0.526 |\n| --- | --- |\n| 16,384 | 0.598 |\n| 32,768 | - |\n| 32,768 | 0.646 |\n| 65,536 | 0.812 |",1]
["| 20,000 | 0.452 |\n| --- | --- |\n| 200,000 | 0.540 |\n| 16,384 | 0.626 |","| 3.813 | 4.856 |\n| --- | --- |\n| 4.960 | 5.494 |\n| 4.587 | 5.116 |\n| 4.813 | 5.255 |\n| 7.609 | 9.448 |\n| 4.533 | 4.550 |\n| 5.573 | 6.151 |",0]
["| 20,000 | 0.452 |\n| --- | --- |\n| 200,000 | 0.540 |\n| 16,384 | 0.626 |","| 8,192 | 0.526 |\n| --- | --- |\n| 16,384 | 0.598 |\n| 32,768 | - |\n| 32,768 | 0.646 |\n| 65,536 | 0.812 |",1]
["| 20,000 | 0.452 |\n| --- | --- |\n| 200,000 | 0.540 |\n| 16,384 | 0.626 |","| 7.609 | 9.448 |\n| --- | --- |\n| 4.533 | 4.550 |\n| 5.573 | 6.151 |",0]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |","| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| --- |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",1]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |","| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",0]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |","| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| --- |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",1]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |","| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| --- |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",0]
["| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |\n| --- | --- | --- | --- | --- |\n| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback |","| 2012 | BERCWebcam | 25 | 1408/7461 | 1.Flatprintedphoto |\n| --- | --- | --- | --- | --- |\n| 2012 | BERCATM | 20 | 1797/5802 | 1.Flatprintedphoto |\n| 2013 | Wangetal. | 50 | 750/2250 | 1.Flatprintedphoto<br>2.Warpedphoto |",1]
["| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |\n| --- | --- | --- | --- | --- |\n| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback |","| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |\n| --- | --- | --- | --- | --- |\n| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback |","| 2012 | BERCWebcam | 25 | 1408/7461 | 1.Flatprintedphoto |\n| --- | --- | --- | --- | --- |\n| 2012 | BERCATM | 20 | 1797/5802 | 1.Flatprintedphoto |\n| 2013 | Wangetal. | 50 | 750/2250 | 1.Flatprintedphoto<br>2.Warpedphoto |",1]
["| Year | dataset | #Subjects | #Real/Fake | Typesofattacks |\n| --- | --- | --- | --- | --- |\n| 2012 | Pintoetal. | 50 | 100/600 | 1.Videoplayback |","| Twonorm | 7400 | 2 | 20 |\n| --- | --- | --- | --- |\n| Waveform | 5000 | 3 | 21 |",0]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 450000 | 80000 | 25000 | 60000 |","| Menwick | 50000 | 20000 | 20000 | 70000 |\n| --- | --- | --- | --- | --- |\n| SarahDong | 180000 | 5000 | 5000 | 80000 |\n| FaridAL | 45000 | 15000 | 500000 | 30000 |\n| SlyDolce | 150000 | 150000 | 30000 | 10000 |\n| LyneWirl | 200000 | 100000 | 250000 | 100000 |\n| EddyEko | 35000 | 25000 | 10000 | 5000 |\n| JackFack | 70000 | 35000 | 40000 | 15000 |",1]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 450000 | 80000 | 25000 | 60000 |","| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 150000 | 20000 | 30000 | 80000 |\n| SlyDolce | 35000 | 5000 | 25000 | 15000 |\n| Menwick | 70000 | 35000 | 5000 | 10000 |\n| SarahDong | 45000 | 25000 | 10000 | 5000 |\n| EddyEko | 50000 | 15000 | 20000 | 30000 |\n| LyneWirl | 180000 | 100000 | 50000 | 70000 |\n| JackFack | 200000 | 80000 | 40000 | 60000 |\n| FaridAl | 450000 | 150000 | 200000 | 100000 |",0]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 450000 | 80000 | 25000 | 60000 |\n| Menwick | 50000 | 20000 | 20000 | 70000 |","| SarahDong | 180000 | 5000 | 5000 | 80000 |\n| --- | --- | --- | --- | --- |\n| FaridAL | 45000 | 15000 | 500000 | 30000 |\n| SlyDolce | 150000 | 150000 | 30000 | 10000 |\n| LyneWirl | 200000 | 100000 | 250000 | 100000 |\n| EddyEko | 35000 | 25000 | 10000 | 5000 |\n| JackFack | 70000 | 35000 | 40000 | 15000 |",1]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 450000 | 80000 | 25000 | 60000 |\n| Menwick | 50000 | 20000 | 20000 | 70000 |","| SlyDolce | 35000 | 5000 | 25000 | 15000 |\n| --- | --- | --- | --- | --- |\n| Menwick | 70000 | 35000 | 5000 | 10000 |\n| SarahDong | 45000 | 25000 | 10000 | 5000 |\n| EddyEko | 50000 | 15000 | 20000 | 30000 |\n| LyneWirl | 180000 | 100000 | 50000 | 70000 |\n| JackFack | 200000 | 80000 | 40000 | 60000 |\n| FaridAl | 450000 | 150000 | 200000 | 100000 |",0]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 47.71 | 45.32 | 47.41 | 46.83 | 49.1 |\n| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |\n| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |\n| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |\n| Q5 | 539.37 | 437.27 | 264.13 | 179.18 | 131.98 |\n| Q6 | 220.29 | 133.08 | 108.56 | 77.02 | 67.42 |\n| Q7 | 35.96 | 33.15 | 33.64 | 36.12 | 34.44 |\n| Q9 | 575.29 | 310.14 | 297.75 | 190.08 | 145.75 |\n| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |","| Q16 | 610.85 | 387.59 | 315.06 | 202.07 | 149.09 |\n| --- | --- | --- | --- | --- | --- |\n| Q17 | NaN | NaN | NaN | NaN | NaN |\n| Q18 | 35.88 | 32.05 | 36.69 | 35.00 | 34.23 |\n| Q19 | 597.83 | 499.11 | 305.14 | 196.61 | 140.85 |\n| Q20 | 607.89 | 336.38 | 316.46 | 194.37 | 140.92 |",1]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 47.71 | 45.32 | 47.41 | 46.83 | 49.1 |\n| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |\n| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |\n| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |\n| Q5 | 539.37 | 437.27 | 264.13 | 179.18 | 131.98 |\n| Q6 | 220.29 | 133.08 | 108.56 | 77.02 | 67.42 |\n| Q7 | 35.96 | 33.15 | 33.64 | 36.12 | 34.44 |\n| Q9 | 575.29 | 310.14 | 297.75 | 190.08 | 145.75 |\n| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |","|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 395.82 | 254.49 | 307.9 | 215.35 | 146.35 |\n| Q2 | 181.91 | 165.32 | 160.97 | 150.87 | 144.49 |\n| Q3 | 354.55 | 192.83 | 231.96 | 156.26 | 106.05 |\n| Q4 | 705.96 | 737.82 | 725.21 | 292.48 | 196.56 |\n| Q5 | 178.55 | 161.36 | 168.21 | 167.29 | 147.78 |\n| Q7 | 889.83 | 602.84 | 569.87 | 446.54 | 335.63 |\n| Q8 | 271.94 | 202.84 | 247.64 | 184.74 | 146.29 |\n| Q9 | 615.42 | 457.34 | 349.46 | 259.7 | 137.27 |\n| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",0]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 47.71 | 45.32 | 47.41 | 46.83 | 49.1 |\n| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |\n| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |\n| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |\n| Q5 | 539.37 | 437.27 | 264.13 | 179.18 | 131.98 |\n| Q6 | 220.29 | 133.08 | 108.56 | 77.02 | 67.42 |\n| Q7 | 35.96 | 33.15 | 33.64 | 36.12 | 34.44 |\n| Q9 | 575.29 | 310.14 | 297.75 | 190.08 | 145.75 |\n| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |\n| Q16 | 610.85 | 387.59 | 315.06 | 202.07 | 149.09 |","| Q17 | NaN | NaN | NaN | NaN | NaN |\n| --- | --- | --- | --- | --- | --- |\n| Q18 | 35.88 | 32.05 | 36.69 | 35.00 | 34.23 |\n| Q19 | 597.83 | 499.11 | 305.14 | 196.61 | 140.85 |\n| Q20 | 607.89 | 336.38 | 316.46 | 194.37 | 140.92 |",1]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 47.71 | 45.32 | 47.41 | 46.83 | 49.1 |\n| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |\n| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |\n| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |\n| Q5 | 539.37 | 437.27 | 264.13 | 179.18 | 131.98 |\n| Q6 | 220.29 | 133.08 | 108.56 | 77.02 | 67.42 |\n| Q7 | 35.96 | 33.15 | 33.64 | 36.12 | 34.44 |\n| Q9 | 575.29 | 310.14 | 297.75 | 190.08 | 145.75 |\n| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |\n| Q16 | 610.85 | 387.59 | 315.06 | 202.07 | 149.09 |","| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| --- | --- | --- | --- | --- | --- |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",0]
["| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |","| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| --- | --- | --- |\n| 8 | 6.4582·10 | 6.4651·10 |",1]
["| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |","| 1234567 |\n| --- |\n| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |\n| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",0]
["| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |","| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",1]
["| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |","| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| --- |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",0]
["| VisualParts(VP) |  |  |  |\n| --- | --- | --- | --- |\n| Train→ | 1 | 19 | 19 |\n| Test↓→ | 1 | 1 | 19 |","| LanguageParts<br>(LP) | 1 | 25.0 | 26.8 | 32.1 |\n| --- | --- | --- | --- | --- |\n| 50 | 23.6 | 30.5 | 33.9 |  |",1]
["| VisualParts(VP) |  |  |  |\n| --- | --- | --- | --- |\n| Train→ | 1 | 19 | 19 |\n| Test↓→ | 1 | 1 | 19 |","| Usage |\n| --- |\n| TMtrain |\n| LMtrain |\n| train |\n| dev |\n| test<br>test |",0]
["| VisualParts(VP) |  |  |  |\n| --- | --- | --- | --- |\n| Train→ | 1 | 19 | 19 |\n| Test↓→ | 1 | 1 | 19 |","| LanguageParts<br>(LP) | 1 | 25.0 | 26.8 | 32.1 |\n| --- | --- | --- | --- | --- |\n| 50 | 23.6 | 30.5 | 33.9 |  |",1]
["| VisualParts(VP) |  |  |  |\n| --- | --- | --- | --- |\n| Train→ | 1 | 19 | 19 |\n| Test↓→ | 1 | 1 | 19 |","| dev |\n| --- |\n| test<br>test |",0]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.06×10 | 1.07×10 | 2.36×10 | 6.95×10 |\n| averageofallSSIMdiﬀerences | 1.22×10 | 1.25×10 | 6.73×10 | 8.23×10 |  |\n| averageofnon-outliers | 1.22×10 | 1.25×10 | 5.67×10 | 8.23×10 |  |\n| CSIQ | medianofallSSIMdiﬀerences | 8.81×10 | 8.68×10 | 2.83×10 | 2.18×10 |","| averageofallSSIMdiﬀerences | 9.11×10 | 8.95×10 | 7.65×10 | 4.30×10 |\n| --- | --- | --- | --- | --- |\n| averageofnon-outliers | 8.54×10 | 8.06×10 | 6.34×10 | 3.17×10 |",1]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.06×10 | 1.07×10 | 2.36×10 | 6.95×10 |\n| averageofallSSIMdiﬀerences | 1.22×10 | 1.25×10 | 6.73×10 | 8.23×10 |  |\n| averageofnon-outliers | 1.22×10 | 1.25×10 | 5.67×10 | 8.23×10 |  |\n| CSIQ | medianofallSSIMdiﬀerences | 8.81×10 | 8.68×10 | 2.83×10 | 2.18×10 |","|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.67×10 | 1.33×10 | 2.42×10 | 8.88×10 |\n| averageofallSSIMdiﬀerence | 1.85×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |\n| averageofnon-outliers | 1.74×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |\n| CSIQ | medianofallSSIMdiﬀerence | 1.24×10 | 1.05×10 | 2.44×10 | 3.66×10 |\n| averageofallSSIMdiﬀerence | 1.43×10 | 1.23×10 | 4.25×10 | 4.30×10 |  |\n| averageofnon-outliers | 1.31×10 | 1.23×10 | 2.19×10 | 3.81×10 |  |",0]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.06×10 | 1.07×10 | 2.36×10 | 6.95×10 |","| averageofallSSIMdiﬀerences | 1.22×10 | 1.25×10 | 6.73×10 | 8.23×10 |  |\n| --- | --- | --- | --- | --- | --- |\n| averageofnon-outliers | 1.22×10 | 1.25×10 | 5.67×10 | 8.23×10 |  |\n| CSIQ | medianofallSSIMdiﬀerences | 8.81×10 | 8.68×10 | 2.83×10 | 2.18×10 |\n| averageofallSSIMdiﬀerences | 9.11×10 | 8.95×10 | 7.65×10 | 4.30×10 |  |\n| averageofnon-outliers | 8.54×10 | 8.06×10 | 6.34×10 | 3.17×10 |  |",1]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.06×10 | 1.07×10 | 2.36×10 | 6.95×10 |","| averageofnon-outliers | 1.74×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |\n| --- | --- | --- | --- | --- | --- |\n| CSIQ | medianofallSSIMdiﬀerence | 1.24×10 | 1.05×10 | 2.44×10 | 3.66×10 |\n| averageofallSSIMdiﬀerence | 1.43×10 | 1.23×10 | 4.25×10 | 4.30×10 |  |\n| averageofnon-outliers | 1.31×10 | 1.23×10 | 2.19×10 | 3.81×10 |  |",0]
["|  | LOSO | LOUO |\n| --- | --- | --- |\n| SMT | 0.18\\|0.31 | 0.05\\|-0.22 |\n| DCT | 0.46\\|0.57 | 0.14\\|0.24 |\n| DFT | 0.40\\|0.45 | 0.19\\|0.12 |\n| ApEn | 0.24\\|0.23 | 0.22\\|0.10 |\n| SMT+DCT | 0.43\\|0.39 | 0.08\\|0.22 |","| SMT+DFT | 0.38\\|0.51 | 0.22\\|0.04 |\n| --- | --- | --- |\n| SMT+ApEn | 0.20\\|0.22 | 0.21\\|0.08 |\n| SMT+DCT+DFT | 0.50\\|0.57 | 0.41\\|0.36 |\n| DCT+DFT | 0.50\\|0.60 | 0.40\\|0.38 |\n| DCT+DFT+ApEn | 0.51\\|0.61 | 0.38\\|0.41 |\n| SMT+DCT+DFT+ApEn | 0.49\\|0.58 | 0.24\\|0.27 |",1]
["|  | LOSO | LOUO |\n| --- | --- | --- |\n| SMT | 0.18\\|0.31 | 0.05\\|-0.22 |\n| DCT | 0.46\\|0.57 | 0.14\\|0.24 |\n| DFT | 0.40\\|0.45 | 0.19\\|0.12 |\n| ApEn | 0.24\\|0.23 | 0.22\\|0.10 |\n| SMT+DCT | 0.43\\|0.39 | 0.08\\|0.22 |","|  | P | R | F | P | R | F |\n| --- | --- | --- | --- | --- | --- | --- |\n| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |\n| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 |\n| R3-6+BT | 0.755 | 0.705 | 0.729 | 0.961 | 0.961 | 0.961 |\n| S+r | 0.722 | 0.63 | 0.673 | 0.979 | 0.955 | 0.967 |\n| S+r+BT | 0.799 | 0.753 | 0.776 | 0.973 | 0.969 | 0.971 |\n| S+BT | 0.779 | 0.714 | 0.745 | 0.969 | 0.966 | 0.968 |",0]
["|  | LOSO | LOUO |\n| --- | --- | --- |\n| SMT | 0.18\\|0.31 | 0.05\\|-0.22 |\n| DCT | 0.46\\|0.57 | 0.14\\|0.24 |\n| DFT | 0.40\\|0.45 | 0.19\\|0.12 |\n| ApEn | 0.24\\|0.23 | 0.22\\|0.10 |","| SMT+DCT | 0.43\\|0.39 | 0.08\\|0.22 |\n| --- | --- | --- |\n| SMT+DFT | 0.38\\|0.51 | 0.22\\|0.04 |\n| SMT+ApEn | 0.20\\|0.22 | 0.21\\|0.08 |\n| SMT+DCT+DFT | 0.50\\|0.57 | 0.41\\|0.36 |\n| DCT+DFT | 0.50\\|0.60 | 0.40\\|0.38 |\n| DCT+DFT+ApEn | 0.51\\|0.61 | 0.38\\|0.41 |\n| SMT+DCT+DFT+ApEn | 0.49\\|0.58 | 0.24\\|0.27 |",1]
["|  | LOSO | LOUO |\n| --- | --- | --- |\n| SMT | 0.18\\|0.31 | 0.05\\|-0.22 |\n| DCT | 0.46\\|0.57 | 0.14\\|0.24 |\n| DFT | 0.40\\|0.45 | 0.19\\|0.12 |\n| ApEn | 0.24\\|0.23 | 0.22\\|0.10 |","| S+r+BT | 0.799 | 0.753 | 0.776 | 0.973 | 0.969 | 0.971 |\n| --- | --- | --- | --- | --- | --- | --- |\n| S+BT | 0.779 | 0.714 | 0.745 | 0.969 | 0.966 | 0.968 |",0]
["| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |","| Irish | 46 | 252/278 |  |\n| --- | --- | --- | --- |\n| Hausa | 77 | 424/520 |  |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",1]
["| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |","| Languages | MovieCount | UserCount |\n| --- | --- | --- |\n| Hindi | 615 | 902 |\n| Bengali | 582 | 28 |\n| Assamese | 22 | 9 |\n| Tamil | 313 | 30 |\n| Nepali | 51 | 9 |\n| Punjabi | 150 | 78 |\n| Rajasthani | 18 | 14 |\n| Malayalam | 346 | 16 |\n| Bhojpuri | 26 | 21 |\n| Kannada | 303 | 11 |\n| Haryanvi | 3 | 18 |\n| Manipuri | 8 | 4 |\n| Urdu | 129 | 23 |\n| Marathi | 204 | 14 |\n| Telugu | 338 | 18 |\n| Oriya | 98 | 6 |\n| Gujarati | 49 | 7 |\n| Konkani | 6 | 4 |",0]
["| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |\n| Irish | 46 | 252/278 |  |\n| Hausa | 77 | 424/520 |  |","| Korean | 103 | 518/731 |  |\n| --- | --- | --- | --- |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",1]
["| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |\n| Irish | 46 | 252/278 |  |\n| Hausa | 77 | 424/520 |  |","| Punjabi | 150 | 78 |\n| --- | --- | --- |\n| Rajasthani | 18 | 14 |\n| Malayalam | 346 | 16 |\n| Bhojpuri | 26 | 21 |\n| Kannada | 303 | 11 |\n| Haryanvi | 3 | 18 |\n| Manipuri | 8 | 4 |\n| Urdu | 129 | 23 |\n| Marathi | 204 | 14 |\n| Telugu | 338 | 18 |\n| Oriya | 98 | 6 |\n| Gujarati | 49 | 7 |\n| Konkani | 6 | 4 |",0]
["| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |","| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |\n| --- | --- | --- | --- |\n| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",1]
["| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |","| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |\n| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| Parameter | 32-bit |  |\n| --- | --- | --- |\n| Silicon | Carbon | Silicon |","| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |\n| --- | --- | --- | --- |\n| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |\n| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",1]
["| Parameter | 32-bit |  |\n| --- | --- | --- |\n| Silicon | Carbon | Silicon |","| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |\n| --- | --- | --- | --- |\n| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| Portalcategories | Numberofportals |\n| --- | --- |\n| Statistics | 1 |\n| Representations | 2 |","| PeriphericalOﬃces | 6 |\n| --- | --- |\n| Certiﬁcations | 4 |\n| PropertyRegisterOﬃces | 3 |\n| SocialSecurity | 9 |\n| ForeignRelations | 4 |\n| RelationsAbroad | 6 |\n| Defense | 1 |\n| Justice | 10 |\n| Criminality | 6 |\n| InternalSecurity | 6 |\n| PublicAssistance | 5 |\n| HealthServices | 6 |\n| Education | 3 |\n| Environment | 8 |\n| CulturalGoods | 10 |\n| Employment | 9 |\n| Farms | 3 |\n| IndustrialCompanies | 9 |\n| Transportations | 10 |",1]
["| Portalcategories | Numberofportals |\n| --- | --- |\n| Statistics | 1 |\n| Representations | 2 |","| Attribute | DomainSize |\n| --- | --- |\n| Age | 76 |\n| Gender | 2 |\n| Education | 14 |\n| Marital | 6 |\n| Race | 9 |\n| Work-Class | 10 |\n| Country | 83 |\n| Occupation | 50 |",0]
["| Portalcategories | Numberofportals |\n| --- | --- |\n| Statistics | 1 |\n| Representations | 2 |\n| PeriphericalOﬃces | 6 |\n| Certiﬁcations | 4 |\n| PropertyRegisterOﬃces | 3 |\n| SocialSecurity | 9 |","| ForeignRelations | 4 |\n| --- | --- |\n| RelationsAbroad | 6 |\n| Defense | 1 |\n| Justice | 10 |\n| Criminality | 6 |\n| InternalSecurity | 6 |\n| PublicAssistance | 5 |\n| HealthServices | 6 |\n| Education | 3 |\n| Environment | 8 |\n| CulturalGoods | 10 |\n| Employment | 9 |\n| Farms | 3 |\n| IndustrialCompanies | 9 |\n| Transportations | 10 |",1]
["| Portalcategories | Numberofportals |\n| --- | --- |\n| Statistics | 1 |\n| Representations | 2 |\n| PeriphericalOﬃces | 6 |\n| Certiﬁcations | 4 |\n| PropertyRegisterOﬃces | 3 |\n| SocialSecurity | 9 |","| Marital | 6 |\n| --- | --- |\n| Race | 9 |\n| Work-Class | 10 |\n| Country | 83 |\n| Occupation | 50 |",0]
["| Memristorposition | Comparison | P-value |\n| --- | --- | --- |\n| Input-hidden | HPvs.PEO-PANI | 0.710 |\n|  | HPvs.LINEAR | 0.543 |\n|  | PEOvs.LINEAR | 0.339 |\n| Hidden-hidden | HPvs.PEO-PANI | 0.482 |\n|  | HPvs.LINEAR | 0.045 |","|  | PEOvs.LINEAR | 0.012 |\n| --- | --- | --- |\n| Hidden-Output | HPvs.PEO-PANI | 0.04 |\n|  | HPvs.LINEAR | 0.079 |\n|  | PEOvs.LINEAR | 0.839 |",1]
["| Memristorposition | Comparison | P-value |\n| --- | --- | --- |\n| Input-hidden | HPvs.PEO-PANI | 0.710 |\n|  | HPvs.LINEAR | 0.543 |\n|  | PEOvs.LINEAR | 0.339 |\n| Hidden-hidden | HPvs.PEO-PANI | 0.482 |\n|  | HPvs.LINEAR | 0.045 |","| Inputsourceneuron | Comparison | P-value |\n| --- | --- | --- |\n| IRsensor | HPvs.PEO-PANI | 0.033 |\n|  | HPvs.LINEAR | 0.074 |\n|  | PEOvs.LINEAR | 0.933 |\n| Lightsensor | HPvs.PEO-PANI | 1 |\n|  | HPvs.LINEAR | 0.379 |\n|  | PEOvs.LINEAR | 0.410 |",0]
["| Memristorposition | Comparison | P-value |\n| --- | --- | --- |\n| Input-hidden | HPvs.PEO-PANI | 0.710 |\n|  | HPvs.LINEAR | 0.543 |\n|  | PEOvs.LINEAR | 0.339 |\n| Hidden-hidden | HPvs.PEO-PANI | 0.482 |\n|  | HPvs.LINEAR | 0.045 |\n|  | PEOvs.LINEAR | 0.012 |","| Hidden-Output | HPvs.PEO-PANI | 0.04 |\n| --- | --- | --- |\n|  | HPvs.LINEAR | 0.079 |\n|  | PEOvs.LINEAR | 0.839 |",1]
["| Memristorposition | Comparison | P-value |\n| --- | --- | --- |\n| Input-hidden | HPvs.PEO-PANI | 0.710 |\n|  | HPvs.LINEAR | 0.543 |\n|  | PEOvs.LINEAR | 0.339 |\n| Hidden-hidden | HPvs.PEO-PANI | 0.482 |\n|  | HPvs.LINEAR | 0.045 |\n|  | PEOvs.LINEAR | 0.012 |","| Lightsensor | HPvs.PEO-PANI | 1 |\n| --- | --- | --- |\n|  | HPvs.LINEAR | 0.379 |\n|  | PEOvs.LINEAR | 0.410 |",0]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |","| 6:and | 4:are | 4:air | 5:it |\n| --- | --- | --- | --- |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",1]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |","| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |\n| 6:and | 4:are | 4:air | 5:it |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",0]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |","| 15:is | 9:and | 9:and | 11:and |\n| --- | --- | --- | --- |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |\n| 6:and | 4:are | 4:air | 5:it |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",1]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |","| 6:and | 4:are | 4:air | 5:it |\n| --- | --- | --- | --- |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",0]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(16bits) | 1 | 16 | 120 | 560 | 1,820 | 4,368 | 8,008 | 11,440 | 12,870 |\n| #ofqueries(16bits)(1.752s) | 0 | 3637 | 4932 | 1230 | 169 | 30 | 1 | 1 | 0 |","| #ofbuckets(32bits) | 1 | 32 | 496 | 4960 | 35,960 | 201,376 | 906,192 | 3,365,856 | 10,518,300 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofqueries(32bits)(237.8s) | 0 | 0 | 0 | 4 | 1710 | 4282 | 2691 | 1021 | 241 |",1]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(16bits) | 1 | 16 | 120 | 560 | 1,820 | 4,368 | 8,008 | 11,440 | 12,870 |\n| #ofqueries(16bits)(1.752s) | 0 | 3637 | 4932 | 1230 | 169 | 30 | 1 | 1 | 0 |","| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(24bits) | 1 | 24 | 276 | 2,024 | 10,626 | 42,504 | 134,596 | 346,104 | 735,471 |\n| #ofqueries(24bits)(0.234s) | 70 | 467 | 277 | 115 | 44 | 18 | 7 | 2 | 0 |\n| #ofbuckets(40bits) | 1 | 40 | 780 | 9,880 | 91,390 | 658,008 | 3,838,380 | 18,643,560 | 76,904,685 |\n| #ofqueries(40bits)(240.0s) | 0 | 0 | 27 | 252 | 302 | 205 | 107 | 57 | 27 |",0]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(16bits) | 1 | 16 | 120 | 560 | 1,820 | 4,368 | 8,008 | 11,440 | 12,870 |\n| #ofqueries(16bits)(1.752s) | 0 | 3637 | 4932 | 1230 | 169 | 30 | 1 | 1 | 0 |","| #ofbuckets(32bits) | 1 | 32 | 496 | 4960 | 35,960 | 201,376 | 906,192 | 3,365,856 | 10,518,300 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofqueries(32bits)(237.8s) | 0 | 0 | 0 | 4 | 1710 | 4282 | 2691 | 1021 | 241 |",1]
["| hammingradius | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofbuckets(16bits) | 1 | 16 | 120 | 560 | 1,820 | 4,368 | 8,008 | 11,440 | 12,870 |\n| #ofqueries(16bits)(1.752s) | 0 | 3637 | 4932 | 1230 | 169 | 30 | 1 | 1 | 0 |","| #ofbuckets(40bits) | 1 | 40 | 780 | 9,880 | 91,390 | 658,008 | 3,838,380 | 18,643,560 | 76,904,685 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #ofqueries(40bits)(240.0s) | 0 | 0 | 27 | 252 | 302 | 205 | 107 | 57 | 27 |",0]
["| AlgorithmVersion | Single-signal | Indexed | Multi-signal | GPU-based |\n| --- | --- | --- | --- | --- |\n| NetworkConﬁgurationatConvergence |  |  |  |  |\n| Iterations | 1,100,000 | 1,100,000 | 1,128 | 1,128 |\n| Signals | 1,100,000 | 1,100,000 | 1,100,110 | 1,100,110 |\n| DiscardedSignals | 0 | 0 | 562,277 | 562,277 |\n| Units | 656 | 649 | 658 | 658 |\n| Connections | 1,974 | 1,953 | 1,980 | 1,980 |\n| TimetoConvergence |  |  |  |  |\n| TotalTime | 12.3540 | 5.5690 | 11.6070 | 3.8690 |\n| Sample<br>FindWinners<br>Update | 0.0150<br>8.8600<br>3.4790 | 0.0480<br>2.8220<br>2.6990 | 0.0620<br>8.5060<br>3.0390 | 0.1410<br>0.7650<br>2.9630 |","| TimeperSignal |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| TimeperSignal | 1.1231×10 | 5.0627×10 | 1.0551×10 | 3.5169×10 |\n| FindWinners | 8.0545×10 | 2.5655×10 | 7.7320×10 | 6.9539×10 |",1]
["| AlgorithmVersion | Single-signal | Indexed | Multi-signal | GPU-based |\n| --- | --- | --- | --- | --- |\n| NetworkConﬁgurationatConvergence |  |  |  |  |\n| Iterations | 1,100,000 | 1,100,000 | 1,128 | 1,128 |\n| Signals | 1,100,000 | 1,100,000 | 1,100,110 | 1,100,110 |\n| DiscardedSignals | 0 | 0 | 562,277 | 562,277 |\n| Units | 656 | 649 | 658 | 658 |\n| Connections | 1,974 | 1,953 | 1,980 | 1,980 |\n| TimetoConvergence |  |  |  |  |\n| TotalTime | 12.3540 | 5.5690 | 11.6070 | 3.8690 |\n| Sample<br>FindWinners<br>Update | 0.0150<br>8.8600<br>3.4790 | 0.0480<br>2.8220<br>2.6990 | 0.0620<br>8.5060<br>3.0390 | 0.1410<br>0.7650<br>2.9630 |","| Algorithm | MR=0.25 | MR=0.10 | MR=0.04 | MR=0.01 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 2.943 | 3.223 | 3.467 | 7.790 |\n| NLR-CS | 314.852 | 305.703 | 300.666 | 314.176 |\n| D-AMP | 27.764 | 31.849 | 34.207 | 54.643 |\n| ReconNet(CPU) | 0.5249 | 0.5258 | 0.5284 | 0.5193 |\n| ReconNet(GPU) | 0.0213 | 0.0195 | 0.0192 | 0.0244 |\n| SDA(GPU) | 0.0042 | 0.0029 | 0.0025 | 0.0045 |",0]
["| AlgorithmVersion | Single-signal | Indexed | Multi-signal | GPU-based |\n| --- | --- | --- | --- | --- |\n| NetworkConﬁgurationatConvergence |  |  |  |  |\n| Iterations | 1,100,000 | 1,100,000 | 1,128 | 1,128 |\n| Signals | 1,100,000 | 1,100,000 | 1,100,110 | 1,100,110 |\n| DiscardedSignals | 0 | 0 | 562,277 | 562,277 |\n| Units | 656 | 649 | 658 | 658 |\n| Connections | 1,974 | 1,953 | 1,980 | 1,980 |\n| TimetoConvergence |  |  |  |  |\n| TotalTime | 12.3540 | 5.5690 | 11.6070 | 3.8690 |\n| Sample<br>FindWinners<br>Update | 0.0150<br>8.8600<br>3.4790 | 0.0480<br>2.8220<br>2.6990 | 0.0620<br>8.5060<br>3.0390 | 0.1410<br>0.7650<br>2.9630 |","| TimeperSignal |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| TimeperSignal | 1.1231×10 | 5.0627×10 | 1.0551×10 | 3.5169×10 |\n| FindWinners | 8.0545×10 | 2.5655×10 | 7.7320×10 | 6.9539×10 |",1]
["| AlgorithmVersion | Single-signal | Indexed | Multi-signal | GPU-based |\n| --- | --- | --- | --- | --- |\n| NetworkConﬁgurationatConvergence |  |  |  |  |\n| Iterations | 1,100,000 | 1,100,000 | 1,128 | 1,128 |\n| Signals | 1,100,000 | 1,100,000 | 1,100,110 | 1,100,110 |\n| DiscardedSignals | 0 | 0 | 562,277 | 562,277 |\n| Units | 656 | 649 | 658 | 658 |\n| Connections | 1,974 | 1,953 | 1,980 | 1,980 |\n| TimetoConvergence |  |  |  |  |\n| TotalTime | 12.3540 | 5.5690 | 11.6070 | 3.8690 |\n| Sample<br>FindWinners<br>Update | 0.0150<br>8.8600<br>3.4790 | 0.0480<br>2.8220<br>2.6990 | 0.0620<br>8.5060<br>3.0390 | 0.1410<br>0.7650<br>2.9630 |","| ReconNet(GPU) | 0.0213 | 0.0195 | 0.0192 | 0.0244 |\n| --- | --- | --- | --- | --- |\n| SDA(GPU) | 0.0042 | 0.0029 | 0.0025 | 0.0045 |",0]
["| x | y | z | Numberofsatisﬁedclauses |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 2 |\n| 0 | 1 | 0 | 3 |\n| 0 | 0 | 1 | 3 |\n| 0 | 0 | 0 | 3 |","| 1 | 1 | 1 | 3 |\n| --- | --- | --- | --- |\n| 1 | 1 | 0 | 3 |\n| 1 | 0 | 1 | 3 |\n| 1 | 0 | 0 | 2 |",1]
["| x | y | z | Numberofsatisﬁedclauses |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 2 |\n| 0 | 1 | 0 | 3 |\n| 0 | 0 | 1 | 3 |\n| 0 | 0 | 0 | 3 |","| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 0 | 1 | 0 | 1 | 1 | * |\n| 0 | 0 | 1 | 1 | 1 | 1 | * |\n| 0 | 1 | 0 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 0 | 0 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 1 | 0 | 0 | 1 | 1 | * |\n| 1 | 1 | 0 | 1 | 1 | 0 | * |\n| 1 | 1 | 1 | 0 | 1 | 0 | * |\n| 1 | 1 | 1 | 1 | * | * | * |",0]
["| x | y | z | Numberofsatisﬁedclauses |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 2 |","| 0 | 1 | 0 | 3 |\n| --- | --- | --- | --- |\n| 0 | 0 | 1 | 3 |\n| 0 | 0 | 0 | 3 |\n| 1 | 1 | 1 | 3 |\n| 1 | 1 | 0 | 3 |\n| 1 | 0 | 1 | 3 |\n| 1 | 0 | 0 | 2 |",1]
["| x | y | z | Numberofsatisﬁedclauses |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 2 |","| 1 | 0 | 1 | 0 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 1 | 0 | 0 | 1 | 1 | * |\n| 1 | 1 | 0 | 1 | 1 | 0 | * |\n| 1 | 1 | 1 | 0 | 1 | 0 | * |\n| 1 | 1 | 1 | 1 | * | * | * |",0]
["| Method | Tweet2011 | GoogleNews |\n| --- | --- | --- |\n| LDA | 0.2809±0.0037 | 0.8669±0.0145 |","| MRF-LDA | 0.0504±0.0119 | 0.6642±0.0354 |\n| --- | --- | --- |\n| Unigrams | 0.3250±0.0139 | 0.8948±0.0184 |\n| DMM | 0.3151±0.0126 | 0.8963±0.0501 |\n| BTM | 0.0624±0.0123 | 0.8885±0.0319 |\n| ETM | 0.3999±0.0095 | 0.9193±0.0193 |",1]
["| Method | Tweet2011 | GoogleNews |\n| --- | --- | --- |\n| LDA | 0.2809±0.0037 | 0.8669±0.0145 |","| #Methods |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 49.90 | 65.68 | 68.26 | 66.38 | 67.09 | 68.68 | 66.70 | 69.68 |\n| aisoposntua | 41.90 | 59.21 | 57.78 | 61.56 | 59.99 | 58.13 | 59.78 | 65.21 |\n| tweetsemevaltest | 39.54 | 56.31 | 61.51 | 61.65 | 62.06 | 62.94 | 62.26 | 62.64 |\n| sentistrengthtwitter | 36.26 | 49.24 | 56.20 | 57.88 | 57.91 | 57.96 | 57.50 | 58.68 |\n| sentistrengthyoutube | 38.14 | 50.01 | 54.98 | 56.56 | 57.13 | 55.83 | 55.45 | 56.93 |\n| sentistrengthmyspace | 26.88 | 44.94 | 47.37 | 53.04 | 52.91 | 51.53 | 46.99 | 55.00 |\n| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |\n| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |\n| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |\n| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |\n| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |\n| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",0]
["| Method | Tweet2011 | GoogleNews |\n| --- | --- | --- |\n| LDA | 0.2809±0.0037 | 0.8669±0.0145 |\n| MRF-LDA | 0.0504±0.0119 | 0.6642±0.0354 |\n| Unigrams | 0.3250±0.0139 | 0.8948±0.0184 |\n| DMM | 0.3151±0.0126 | 0.8963±0.0501 |","| BTM | 0.0624±0.0123 | 0.8885±0.0319 |\n| --- | --- | --- |\n| ETM | 0.3999±0.0095 | 0.9193±0.0193 |",1]
["| Method | Tweet2011 | GoogleNews |\n| --- | --- | --- |\n| LDA | 0.2809±0.0037 | 0.8669±0.0145 |\n| MRF-LDA | 0.0504±0.0119 | 0.6642±0.0354 |\n| Unigrams | 0.3250±0.0139 | 0.8948±0.0184 |\n| DMM | 0.3151±0.0126 | 0.8963±0.0501 |","| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",0]
["|  | k-means | boostk-means |  |  |\n| --- | --- | --- | --- | --- |\n| Initialassigment | k-way | bisecting | k-way | bisecting |\n| Random | k-means | BsKM | BKM(rnd) | BsBKM(rnd) |","| Probabilitybased | k-means++ | BsBKM++ | BKM(kpp) | BsBKM(kpp) |\n| --- | --- | --- | --- | --- |\n| None | - | - | BKM(non) | BsBKM(non) |",1]
["|  | k-means | boostk-means |  |  |\n| --- | --- | --- | --- | --- |\n| Initialassigment | k-way | bisecting | k-way | bisecting |\n| Random | k-means | BsKM | BKM(rnd) | BsBKM(rnd) |","| Methods | DiceCoeﬃcient | HausdorﬀDistance |\n| --- | --- | --- |\n| k-meansclustering | 0.5249 | 169.745 |\n| Meanshiftclustering | 0.3927 | 221.744 |\n| DRLSE | 0.7104 | 95.0747 |\n| GrabCut | 0.8311 | 42.629 |\n| MIST | 0.8545 | 34.375 |",0]
["|  | k-means | boostk-means |  |  |\n| --- | --- | --- | --- | --- |\n| Initialassigment | k-way | bisecting | k-way | bisecting |\n| Random | k-means | BsKM | BKM(rnd) | BsBKM(rnd) |","| Probabilitybased | k-means++ | BsBKM++ | BKM(kpp) | BsBKM(kpp) |\n| --- | --- | --- | --- | --- |\n| None | - | - | BKM(non) | BsBKM(non) |",1]
["|  | k-means | boostk-means |  |  |\n| --- | --- | --- | --- | --- |\n| Initialassigment | k-way | bisecting | k-way | bisecting |\n| Random | k-means | BsKM | BKM(rnd) | BsBKM(rnd) |","| Meanshiftclustering | 0.3927 | 221.744 |\n| --- | --- | --- |\n| DRLSE | 0.7104 | 95.0747 |\n| GrabCut | 0.8311 | 42.629 |\n| MIST | 0.8545 | 34.375 |",0]
["| Alg. | Samplingratio0.1 | Samplingratio0.2 | Samplingratio0.3 | Samplingratio0.4 |\n| --- | --- | --- | --- | --- |\n| DWT | 24.16\\0.6798\\32.46 | 28.13\\0.7882\\24.43 | 30.38\\0.8389\\15.75 | 31.99\\0.8753\\11.71 |","| TV | 25.24\\0.6887\\16.02 | 28.07\\0.7844\\13.34 | 30.12\\0.8424\\10.25 | 32.03\\0.8837\\8.42 |\n| --- | --- | --- | --- | --- |\n| MH | 26.38\\0.7282\\64.22 | 29.47\\0.8237\\60.33 | 31.37\\0.8694\\52.35 | 33.03\\0.9009\\44.18 |\n| CoS | 18698.8227.20\\0.7433\\ | 17762.8430.07\\0.8278\\ | 17314.0432.03\\0.8732\\ | 15371.9734.00\\0.9084\\ |\n| GSR | 27.50\\0.7705\\883.72 | 31.22\\0.8642\\883.08 | 33.74\\0.9071\\815.99 | 35.78\\0.9336\\799.38 |\n| CSNet | 28.91\\0.8119\\0.12 | 31.86\\0.8908\\0.12 | 34.00\\0.9276\\0.12 | 35.95\\0.9495\\0.15 |",1]
["| Alg. | Samplingratio0.1 | Samplingratio0.2 | Samplingratio0.3 | Samplingratio0.4 |\n| --- | --- | --- | --- | --- |\n| DWT | 24.16\\0.6798\\32.46 | 28.13\\0.7882\\24.43 | 30.38\\0.8389\\15.75 | 31.99\\0.8753\\11.71 |","|  |  | Our-Sampling | Our-Smooth |\n| --- | --- | --- | --- |\n| 51.7 | 27.5 | 40.6 | 45.9 |\n| 17.5 | 33.3 | 39.8 | 40.6 |\n| 34.4 | 27.8 | 33.3 | 36.4 |\n| 34.7 | 34.1 | 34.1 | 33.9 |\n| 22.3 | 42.0 | 35.3 | 35.3 |\n| 17.9 | 28.4 | 18.9 | 22.1 |\n| 13.5 | 35.7 | 27.0 | 27.2 |\n| 26.7 | 35.6 | 21.9 | 25.2 |\n| 41.2 | 22.0 | 17.6 | 20.0 |\n| 25.0 | 25.0 | 32.6 | 35.8 |\n| 28.5 | 31.1 | 30.1 | 32.2 |",0]
["| Alg. | Samplingratio0.1 | Samplingratio0.2 | Samplingratio0.3 | Samplingratio0.4 |\n| --- | --- | --- | --- | --- |\n| DWT | 24.16\\0.6798\\32.46 | 28.13\\0.7882\\24.43 | 30.38\\0.8389\\15.75 | 31.99\\0.8753\\11.71 |\n| TV | 25.24\\0.6887\\16.02 | 28.07\\0.7844\\13.34 | 30.12\\0.8424\\10.25 | 32.03\\0.8837\\8.42 |","| MH | 26.38\\0.7282\\64.22 | 29.47\\0.8237\\60.33 | 31.37\\0.8694\\52.35 | 33.03\\0.9009\\44.18 |\n| --- | --- | --- | --- | --- |\n| CoS | 18698.8227.20\\0.7433\\ | 17762.8430.07\\0.8278\\ | 17314.0432.03\\0.8732\\ | 15371.9734.00\\0.9084\\ |\n| GSR | 27.50\\0.7705\\883.72 | 31.22\\0.8642\\883.08 | 33.74\\0.9071\\815.99 | 35.78\\0.9336\\799.38 |\n| CSNet | 28.91\\0.8119\\0.12 | 31.86\\0.8908\\0.12 | 34.00\\0.9276\\0.12 | 35.95\\0.9495\\0.15 |",1]
["| Alg. | Samplingratio0.1 | Samplingratio0.2 | Samplingratio0.3 | Samplingratio0.4 |\n| --- | --- | --- | --- | --- |\n| DWT | 24.16\\0.6798\\32.46 | 28.13\\0.7882\\24.43 | 30.38\\0.8389\\15.75 | 31.99\\0.8753\\11.71 |\n| TV | 25.24\\0.6887\\16.02 | 28.07\\0.7844\\13.34 | 30.12\\0.8424\\10.25 | 32.03\\0.8837\\8.42 |","| 17.5 | 33.3 | 39.8 | 40.6 |\n| --- | --- | --- | --- |\n| 34.4 | 27.8 | 33.3 | 36.4 |\n| 34.7 | 34.1 | 34.1 | 33.9 |\n| 22.3 | 42.0 | 35.3 | 35.3 |\n| 17.9 | 28.4 | 18.9 | 22.1 |\n| 13.5 | 35.7 | 27.0 | 27.2 |\n| 26.7 | 35.6 | 21.9 | 25.2 |\n| 41.2 | 22.0 | 17.6 | 20.0 |\n| 25.0 | 25.0 | 32.6 | 35.8 |\n| 28.5 | 31.1 | 30.1 | 32.2 |",0]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.92530.79210.8535 | 0.90590.79000.8440 |\n| Deep2TextII+ | 0.92270.73920.8208 | 0.89160.73780.8075 |\n| Stradvision-2 | 0.83930.73020.7810 | 0.77610.70860.7408 |\n| Deep2TextII-1 | 0.80970.73370.7698 | 0.80970.73370.7698 |\n| StradVision-1 | 0.84720.70170.7676 | 0.78900.67870.7297 |\n| Deep2TextI | 0.83460.61400.7075 | 0.83460.61400.7075 |\n| PAL(v1.5) | 0.65220.61540.6333 | --- |","| NJUText(Version3) | 0.60120.41310.4897 | --- |\n| --- | --- | --- |\n| BaselineOpenCV3.0+Tesseract | 0.46480.37130.4128 | 0.47200.32820.3872 |",1]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.92530.79210.8535 | 0.90590.79000.8440 |\n| Deep2TextII+ | 0.92270.73920.8208 | 0.89160.73780.8075 |\n| Stradvision-2 | 0.83930.73020.7810 | 0.77610.70860.7408 |\n| Deep2TextII-1 | 0.80970.73370.7698 | 0.80970.73370.7698 |\n| StradVision-1 | 0.84720.70170.7676 | 0.78900.67870.7297 |\n| Deep2TextI | 0.83460.61400.7075 | 0.83460.61400.7075 |\n| PAL(v1.5) | 0.65220.61540.6333 | --- |","| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |\n| Stradvision-2 | 0.67920.32210.4370 | --- |\n| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |\n| StradVisionv1 | 0.28510.39770.3321 | --- |\n| NJUText(Version3) | 0.4880.24510.3263 | --- |\n| BeamsearchCUNI | 0.37830.15650.2214 | 0.33720.14010.1980 |\n| Deep2Text-MO | 0.21340.13820.1677 | 0.21340.13820.1677 |\n| Baseline(OpenCV+Tesseract) | 0.4090.08330.1384 | 0.32480.07370.1201 |\n| BeamsearchCUNI+S | 0.81080.07220.1326 | 0.05920.64740.1085 |",0]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.92530.79210.8535 | 0.90590.79000.8440 |\n| Deep2TextII+ | 0.92270.73920.8208 | 0.89160.73780.8075 |\n| Stradvision-2 | 0.83930.73020.7810 | 0.77610.70860.7408 |\n| Deep2TextII-1 | 0.80970.73370.7698 | 0.80970.73370.7698 |\n| StradVision-1 | 0.84720.70170.7676 | 0.78900.67870.7297 |\n| Deep2TextI | 0.83460.61400.7075 | 0.83460.61400.7075 |","| PAL(v1.5) | 0.65220.61540.6333 | --- |\n| --- | --- | --- |\n| NJUText(Version3) | 0.60120.41310.4897 | --- |\n| BaselineOpenCV3.0+Tesseract | 0.46480.37130.4128 | 0.47200.32820.3872 |",1]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.92530.79210.8535 | 0.90590.79000.8440 |\n| Deep2TextII+ | 0.92270.73920.8208 | 0.89160.73780.8075 |\n| Stradvision-2 | 0.83930.73020.7810 | 0.77610.70860.7408 |\n| Deep2TextII-1 | 0.80970.73370.7698 | 0.80970.73370.7698 |\n| StradVision-1 | 0.84720.70170.7676 | 0.78900.67870.7297 |\n| Deep2TextI | 0.83460.61400.7075 | 0.83460.61400.7075 |","| Baseline(OpenCV+Tesseract) | 0.4090.08330.1384 | 0.32480.07370.1201 |\n| --- | --- | --- |\n| BeamsearchCUNI+S | 0.81080.07220.1326 | 0.05920.64740.1085 |",0]
["| F(i)n | F(i)l,m | \\|F(i)−F(i)\\|nl,m |\n| --- | --- | --- |\n| 23 | 22 | 1 |\n| 68 | 67 | 1 |\n| 124 | 123 | 1 |\n| 150 | 148 | 2 |\n| 198 | 196 | 2 |\n| 249 | 248 | 2 |\n| 304 | 300 | 4 |\n| 412 | 408 | 4 |\n| 476 | 472 | 4 |","| 567 | 560 | 7 |\n| --- | --- | --- |\n| 848 | 840 | 8 |\n| 999 | 992 | 7 |\n| 1103 | 1088 | 15 |\n| 1872 | 1856 | 16 |\n| 2063 | 2048 | 15 |\n| 2360 | 2336 | 24 |\n| 3328 | 3296 | 32 |\n| 3871 | 3840 | 31 |",1]
["| F(i)n | F(i)l,m | \\|F(i)−F(i)\\|nl,m |\n| --- | --- | --- |\n| 23 | 22 | 1 |\n| 68 | 67 | 1 |\n| 124 | 123 | 1 |\n| 150 | 148 | 2 |\n| 198 | 196 | 2 |\n| 249 | 248 | 2 |\n| 304 | 300 | 4 |\n| 412 | 408 | 4 |\n| 476 | 472 | 4 |","| N= | K=10 | K=15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PTP | RTP | VBP | PTP | RTP | VBP |  |\n| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |\n| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |\n| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |\n| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",0]
["| F(i)n | F(i)l,m | \\|F(i)−F(i)\\|nl,m |\n| --- | --- | --- |\n| 23 | 22 | 1 |\n| 68 | 67 | 1 |","| 124 | 123 | 1 |\n| --- | --- | --- |\n| 150 | 148 | 2 |\n| 198 | 196 | 2 |\n| 249 | 248 | 2 |\n| 304 | 300 | 4 |\n| 412 | 408 | 4 |\n| 476 | 472 | 4 |\n| 567 | 560 | 7 |\n| 848 | 840 | 8 |\n| 999 | 992 | 7 |\n| 1103 | 1088 | 15 |\n| 1872 | 1856 | 16 |\n| 2063 | 2048 | 15 |\n| 2360 | 2336 | 24 |\n| 3328 | 3296 | 32 |\n| 3871 | 3840 | 31 |",1]
["| F(i)n | F(i)l,m | \\|F(i)−F(i)\\|nl,m |\n| --- | --- | --- |\n| 23 | 22 | 1 |\n| 68 | 67 | 1 |","| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |\n| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",0]
["| Category |\n| --- |\n| Punctuation |\n| POS |\n| Sentiment |\n| Emotion |","| SocialMedia |\n| --- |\n| Length |\n| URLs |\n| Novelty |\n| PseudoFeedback |",1]
["| Category |\n| --- |\n| Punctuation |\n| POS |\n| Sentiment |\n| Emotion |","| Numberofwords |  |  |  |\n| --- | --- | --- | --- |\n| 1Quartile | 2Quartile(Median) | 3Quartile |  |\n| Stanford | 5 | 15 | 18,5 |\n| Yelp | 15,5 | 36 | 67,6 |\n| Debate | 12 | 15,5 | 18 |\n| ReviewsI | 19 | 13 | 32,5 |\n| TwitterI | 14 | 20 | 23,5 |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |\n| NYT | 18 | 8 | 6 |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",0]
["| Category |\n| --- |\n| Punctuation |\n| POS |\n| Sentiment |\n| Emotion |\n| SocialMedia |","| Length |\n| --- |\n| URLs |\n| Novelty |\n| PseudoFeedback |",1]
["| Category |\n| --- |\n| Punctuation |\n| POS |\n| Sentiment |\n| Emotion |\n| SocialMedia |","| Amazon | 14 | 10 | 4 |\n| --- | --- | --- | --- |\n| NYT | 18 | 8 | 6 |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",0]
["| Testset | Duration | Nb.speakers | Nb.words |\n| --- | --- | --- | --- |\n| Hub5’00SWB | 2.1h | 40 | 21.4K |\n| Hub5’00CH | 1.6h | 40 | 21.6K |\n| RT’02 | 6.4h | 120 | 64.0K |\n| RT’03 | 7.2h | 144 | 76.0K |","| RT’04 | 3.4h | 72 | 36.7K |\n| --- | --- | --- | --- |\n| DEV’04f | 3.2h | 72 | 37.8K |",1]
["| Testset | Duration | Nb.speakers | Nb.words |\n| --- | --- | --- | --- |\n| Hub5’00SWB | 2.1h | 40 | 21.4K |\n| Hub5’00CH | 1.6h | 40 | 21.6K |\n| RT’02 | 6.4h | 120 | 64.0K |\n| RT’03 | 7.2h | 144 | 76.0K |","| Channel | Type | Year(s) | h | #Words |\n| --- | --- | --- | --- | --- |\n| Trainingset |  |  |  |  |\n| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |\n| total |  |  | 146.28 | 1209K |\n| Developmentset |  |  |  |  |\n| ARD | TV | 2000–01 | 8.93 | 84K |\n| Testset |  |  |  |  |\n| DW | Radio | 2000–01 | 6.33 | 50K |",0]
["| Testset | Duration | Nb.speakers | Nb.words |\n| --- | --- | --- | --- |\n| Hub5’00SWB | 2.1h | 40 | 21.4K |\n| Hub5’00CH | 1.6h | 40 | 21.6K |\n| RT’02 | 6.4h | 120 | 64.0K |","| RT’03 | 7.2h | 144 | 76.0K |\n| --- | --- | --- | --- |\n| RT’04 | 3.4h | 72 | 36.7K |\n| DEV’04f | 3.2h | 72 | 37.8K |",1]
["| Testset | Duration | Nb.speakers | Nb.words |\n| --- | --- | --- | --- |\n| Hub5’00SWB | 2.1h | 40 | 21.4K |\n| Hub5’00CH | 1.6h | 40 | 21.6K |\n| RT’02 | 6.4h | 120 | 64.0K |","| total |  |  | 146.28 | 1209K |\n| --- | --- | --- | --- | --- |\n| Developmentset |  |  |  |  |\n| ARD | TV | 2000–01 | 8.93 | 84K |\n| Testset |  |  |  |  |\n| DW | Radio | 2000–01 | 6.33 | 50K |",0]
["| Model | PredictionAccuracy |\n| --- | --- |\n| NIN | 0.8677 |\n| VGG | 0.8914 |\n| ResNet32 | 0.9181 |\n| ResNet44 | 0.9243 |","| ResNet56 | 0.9272 |\n| --- | --- |\n| ResNet110 | 0.9399 |",1]
["| Model | PredictionAccuracy |\n| --- | --- |\n| NIN | 0.8677 |\n| VGG | 0.8914 |\n| ResNet32 | 0.9181 |\n| ResNet44 | 0.9243 |","| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| MLN | 0.802 | 0.764 | 0.782 |\n| PSL | 0.810 | 0.772 | 0.791 |\n| SVM | 0.720 | 0.737 | 0.728 |\n| CF | 0.701 | 0.694 | 0.697 |",0]
["| Model | PredictionAccuracy |\n| --- | --- |\n| NIN | 0.8677 |\n| VGG | 0.8914 |\n| ResNet32 | 0.9181 |\n| ResNet44 | 0.9243 |","| ResNet56 | 0.9272 |\n| --- | --- |\n| ResNet110 | 0.9399 |",1]
["| Model | PredictionAccuracy |\n| --- | --- |\n| NIN | 0.8677 |\n| VGG | 0.8914 |\n| ResNet32 | 0.9181 |\n| ResNet44 | 0.9243 |","| PSL | 0.810 | 0.772 | 0.791 |\n| --- | --- | --- | --- |\n| SVM | 0.720 | 0.737 | 0.728 |\n| CF | 0.701 | 0.694 | 0.697 |",0]
["| Edge | Iteration |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1 | 2 | 3 | 4 | 5 | ≥14 |\n| 1-2 | 0.82 | 0.91 | 0.94 | 0.95 | 0.97 | 1.00 |\n| 1-3 | 0.66 | 0.82 | 0.89 | 0.93 | 0.95 | 1.00 |\n| 1-10 | 0.33 | 0.24 | 0.17 | 0.13 | 0.09 | 0.00 |\n| 2-3 | 0.82 | 0.91 | 0.95 | 0.97 | 0.99 | 1.00 |\n| 3-4 | 0.33 | 0.18 | 0.10 | 0.05 | 0.02 | 0.00 |\n| 4-5 | 0.82 | 0.91 | 0.95 | 0.97 | 0.99 | 1.00 |\n| 4-6 | 0.66 | 0.82 | 0.89 | 0.93 | 0.95 | 1.00 |","| 5-6 | 0.82 | 0.91 | 0.94 | 0.95 | 0.97 | 1.00 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 6-7 | 0.33 | 0.24 | 0.17 | 0.13 | 0.09 | 0.00 |\n| 7-10 | 0.33 | 0.31 | 0.32 | 0.35 | 0.38 | 0.50 |\n| 7-8 | 0.41 | 0.41 | 0.43 | 0.45 | 0.46 | 0.50 |\n| 8-9 | 0.50 | 0.55 | 0.57 | 0.57 | 0.56 | 0.50 |\n| 9-10 | 0.41 | 0.41 | 0.43 | 0.45 | 0.46 | 0.50 |",1]
["| Edge | Iteration |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1 | 2 | 3 | 4 | 5 | ≥14 |\n| 1-2 | 0.82 | 0.91 | 0.94 | 0.95 | 0.97 | 1.00 |\n| 1-3 | 0.66 | 0.82 | 0.89 | 0.93 | 0.95 | 1.00 |\n| 1-10 | 0.33 | 0.24 | 0.17 | 0.13 | 0.09 | 0.00 |\n| 2-3 | 0.82 | 0.91 | 0.95 | 0.97 | 0.99 | 1.00 |\n| 3-4 | 0.33 | 0.18 | 0.10 | 0.05 | 0.02 | 0.00 |\n| 4-5 | 0.82 | 0.91 | 0.95 | 0.97 | 0.99 | 1.00 |\n| 4-6 | 0.66 | 0.82 | 0.89 | 0.93 | 0.95 | 1.00 |","| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |\n| 0.968 | 0.970 | 0.970 | 0.968 |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["| Edge | Iteration |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1 | 2 | 3 | 4 | 5 | ≥14 |\n| 1-2 | 0.82 | 0.91 | 0.94 | 0.95 | 0.97 | 1.00 |\n| 1-3 | 0.66 | 0.82 | 0.89 | 0.93 | 0.95 | 1.00 |\n| 1-10 | 0.33 | 0.24 | 0.17 | 0.13 | 0.09 | 0.00 |\n| 2-3 | 0.82 | 0.91 | 0.95 | 0.97 | 0.99 | 1.00 |\n| 3-4 | 0.33 | 0.18 | 0.10 | 0.05 | 0.02 | 0.00 |","| 4-5 | 0.82 | 0.91 | 0.95 | 0.97 | 0.99 | 1.00 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4-6 | 0.66 | 0.82 | 0.89 | 0.93 | 0.95 | 1.00 |\n| 5-6 | 0.82 | 0.91 | 0.94 | 0.95 | 0.97 | 1.00 |\n| 6-7 | 0.33 | 0.24 | 0.17 | 0.13 | 0.09 | 0.00 |\n| 7-10 | 0.33 | 0.31 | 0.32 | 0.35 | 0.38 | 0.50 |\n| 7-8 | 0.41 | 0.41 | 0.43 | 0.45 | 0.46 | 0.50 |\n| 8-9 | 0.50 | 0.55 | 0.57 | 0.57 | 0.56 | 0.50 |\n| 9-10 | 0.41 | 0.41 | 0.43 | 0.45 | 0.46 | 0.50 |",1]
["| Edge | Iteration |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1 | 2 | 3 | 4 | 5 | ≥14 |\n| 1-2 | 0.82 | 0.91 | 0.94 | 0.95 | 0.97 | 1.00 |\n| 1-3 | 0.66 | 0.82 | 0.89 | 0.93 | 0.95 | 1.00 |\n| 1-10 | 0.33 | 0.24 | 0.17 | 0.13 | 0.09 | 0.00 |\n| 2-3 | 0.82 | 0.91 | 0.95 | 0.97 | 0.99 | 1.00 |\n| 3-4 | 0.33 | 0.18 | 0.10 | 0.05 | 0.02 | 0.00 |","| 0.876 | 0.874 | 0.866 | 0.868 |\n| --- | --- | --- | --- |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["| DataSet | Size | Released | Visible | Diﬃculty |\n| --- | --- | --- | --- | --- |\n| DS0 | 50×5 | Yes | Yes | Easy |\n| DS1 | 1000×5 | Yes | No | Medium |","| DS2 | 1000×5 | Yes | No | Diﬃcult |\n| --- | --- | --- | --- | --- |\n| DS3 | 1000×5 | No | No | Hard |",1]
["| DataSet | Size | Released | Visible | Diﬃculty |\n| --- | --- | --- | --- | --- |\n| DS0 | 50×5 | Yes | Yes | Easy |\n| DS1 | 1000×5 | Yes | No | Medium |","| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |\n| splice | 60 | 3,175 | 3 |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| DataSet | Size | Released | Visible | Diﬃculty |\n| --- | --- | --- | --- | --- |\n| DS0 | 50×5 | Yes | Yes | Easy |\n| DS1 | 1000×5 | Yes | No | Medium |","| DS2 | 1000×5 | Yes | No | Diﬃcult |\n| --- | --- | --- | --- | --- |\n| DS3 | 1000×5 | No | No | Hard |",1]
["| DataSet | Size | Released | Visible | Diﬃculty |\n| --- | --- | --- | --- | --- |\n| DS0 | 50×5 | Yes | Yes | Easy |\n| DS1 | 1000×5 | Yes | No | Medium |","| splice | 60 | 3,175 | 3 |\n| --- | --- | --- | --- |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| MLN | 0.802 | 0.764 | 0.782 |","| PSL | 0.810 | 0.772 | 0.791 |\n| --- | --- | --- | --- |\n| SVM | 0.720 | 0.737 | 0.728 |\n| CF | 0.701 | 0.694 | 0.697 |",1]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| MLN | 0.802 | 0.764 | 0.782 |","| Framework | Model | CIR | COL | IBD | OBE | T2D | WT2 | AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MetAML | RF | 0.877 | 0.805 | 0.809 | 0.644 | 0.664 | 0.703 | 0.750 |\n|  | SVM | 0.834 | 0.743 | 0.809 | 0.636 | 0.613 | 0.596 | 0.705 |\n| Met2Img | RF | 0.877 | 0.812 | 0.808 | 0.645 | 0.672 | 0.703 | 0.753 |\n|  | SVM-Sigmoid | 0.509 | 0.603 | 0.775 | 0.648 | 0.515 | 0.553 | 0.600 |\n|  | SVM-Radial | 0.529 | 0.603 | 0.775 | 0.648 | 0.593 | 0.553 | 0.617 |\n|  | SVM-Linear | 0.766 | 0.666 | 0.792 | 0.612 | 0.634 | 0.676 | 0.691 |\n|  | FC | 0.776 | 0.685 | 0.775 | 0.656 | 0.665 | 0.607 | 0.694 |\n|  | CNN1D | 0.775 | 0.722 | 0.842 | 0.663 | 0.668 | 0.618 | 0.715 |",0]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| MLN | 0.802 | 0.764 | 0.782 |\n| PSL | 0.810 | 0.772 | 0.791 |","| SVM | 0.720 | 0.737 | 0.728 |\n| --- | --- | --- | --- |\n| CF | 0.701 | 0.694 | 0.697 |",1]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| MLN | 0.802 | 0.764 | 0.782 |\n| PSL | 0.810 | 0.772 | 0.791 |","|  | SVM-Radial | 0.529 | 0.603 | 0.775 | 0.648 | 0.593 | 0.553 | 0.617 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | SVM-Linear | 0.766 | 0.666 | 0.792 | 0.612 | 0.634 | 0.676 | 0.691 |\n|  | FC | 0.776 | 0.685 | 0.775 | 0.656 | 0.665 | 0.607 | 0.694 |\n|  | CNN1D | 0.775 | 0.722 | 0.842 | 0.663 | 0.668 | 0.618 | 0.715 |",0]
["| Architecture |  |  |\n| --- | --- | --- |\n| Model | Parameter | Value |\n| Chr,Wrd<br>Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Wrd<br>Chr<br>Chr,Wrd,Mt | BiLSTMlayers<br>BiLSTMlayers<br>BiLSTMsize<br>DropoutLSTMs<br>DropoutMLP<br>Dropoutembeddings<br>Dropoutembeddings<br>Nonlinearact.(MLP) | 3<br>1<br>400<br>0.33<br>0.33<br>0.33<br>0.05<br>ELU |\n| Initialization |  |  |\n| Model<br>Wrd<br>Chr<br>Chr,Wrd,Mt | Parameter<br>embeddings<br>embeddings<br>MLP | Value<br>Zero<br>Gaussian<br>Gaussian |","| Training |  |  |\n| --- | --- | --- |\n| Model | Parameter | Value |\n| Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt | Optimizer<br>Loss<br>Learningrate<br>Decay<br>Adamepsilon<br>beta1<br>beta2 | Adam<br>Crossentropy<br>0.002<br>0.999994<br>1e-08<br>0.9<br>0.999 |",1]
["| Architecture |  |  |\n| --- | --- | --- |\n| Model | Parameter | Value |\n| Chr,Wrd<br>Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Wrd<br>Chr<br>Chr,Wrd,Mt | BiLSTMlayers<br>BiLSTMlayers<br>BiLSTMsize<br>DropoutLSTMs<br>DropoutMLP<br>Dropoutembeddings<br>Dropoutembeddings<br>Nonlinearact.(MLP) | 3<br>1<br>400<br>0.33<br>0.33<br>0.33<br>0.05<br>ELU |\n| Initialization |  |  |\n| Model<br>Wrd<br>Chr<br>Chr,Wrd,Mt | Parameter<br>embeddings<br>embeddings<br>MLP | Value<br>Zero<br>Gaussian<br>Gaussian |","| Model | Size | Valid | Test |\n| --- | --- | --- | --- |\n| Existingresults |  |  |  |\n| UnregularzedLSTM<br>NR-dropout<br>Zoneout<br>VariationalLSTM<br>CharCNN<br>PointerSentinel-LSTM<br>LSTM+continuouscachepointer<br>VariationalLSTM+augmentedloss<br>VariationalRHN<br>NASCell<br>4-layerskipconnectionLSTM<br>AWD-LSTMw/oﬁnetune<br>AWD-LSTM(Baseline) | 7M<br>66M<br>66M<br>19M<br>21M<br>51M<br>-<br>51M<br>23M<br>54M<br>24M<br>24M<br>24M | 120.7<br>82.2<br>-<br>-<br>72.4<br>-<br>-<br>71.1<br>67.9<br>-<br>60.9<br>60.7<br>60.0 | 114.5<br>78.4<br>77.4<br>73.4<br>78.9<br>70.9<br>72.1<br>68.5<br>65.4<br>62.4<br>58.3<br>58.8<br>57.3 |\n| Oursystem |  |  |  |\n| SharpenedSigmoidAWD-LSTMw/oﬁnetune<br>SharpenedSigmoidAWD-LSTM<br>2<br>G-LSTMw/oﬁnetune<br>2<br>G-LSTM | 24M<br>24M<br>24M<br>24M | 61.6<br>59.9<br>60.4<br>58.5 | 59.4<br>57.5<br>58.2<br>56.1 |\n| +continuouscachepointer |  |  |  |\n| AWD-LSTM+continuouscachepointer<br>SharpenedSigmoidAWD-LSTM+continuouscachepointer<br>2<br>G-LSTM+continuouscachepointer | 24M<br>24M<br>24M | 53.9<br>53.9<br>52.9 | 52.8<br>53.2<br>52.1 |",0]
["| Architecture |  |  |\n| --- | --- | --- |\n| Model | Parameter | Value |\n| Chr,Wrd<br>Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Wrd<br>Chr<br>Chr,Wrd,Mt | BiLSTMlayers<br>BiLSTMlayers<br>BiLSTMsize<br>DropoutLSTMs<br>DropoutMLP<br>Dropoutembeddings<br>Dropoutembeddings<br>Nonlinearact.(MLP) | 3<br>1<br>400<br>0.33<br>0.33<br>0.33<br>0.05<br>ELU |\n| Initialization |  |  |","| Model<br>Wrd<br>Chr<br>Chr,Wrd,Mt | Parameter<br>embeddings<br>embeddings<br>MLP | Value<br>Zero<br>Gaussian<br>Gaussian |\n| --- | --- | --- |\n| Training |  |  |\n| Model | Parameter | Value |\n| Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt | Optimizer<br>Loss<br>Learningrate<br>Decay<br>Adamepsilon<br>beta1<br>beta2 | Adam<br>Crossentropy<br>0.002<br>0.999994<br>1e-08<br>0.9<br>0.999 |",1]
["| Architecture |  |  |\n| --- | --- | --- |\n| Model | Parameter | Value |\n| Chr,Wrd<br>Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Wrd<br>Chr<br>Chr,Wrd,Mt | BiLSTMlayers<br>BiLSTMlayers<br>BiLSTMsize<br>DropoutLSTMs<br>DropoutMLP<br>Dropoutembeddings<br>Dropoutembeddings<br>Nonlinearact.(MLP) | 3<br>1<br>400<br>0.33<br>0.33<br>0.33<br>0.05<br>ELU |\n| Initialization |  |  |","| +continuouscachepointer |  |  |  |\n| --- | --- | --- | --- |\n| AWD-LSTM+continuouscachepointer<br>SharpenedSigmoidAWD-LSTM+continuouscachepointer<br>2<br>G-LSTM+continuouscachepointer | 24M<br>24M<br>24M | 53.9<br>53.9<br>52.9 | 52.8<br>53.2<br>52.1 |",0]
["| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |\n| --- | --- | --- |\n| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 |","| 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A |\n| --- | --- | --- |\n| 43675<br>69.868.4 | 9468<br>85.872.1 | 5384<br>25.618.0 |\n| 7925<br>88.890.5 | 122162<br>113.892.2 | 3042<br>29.725.0 |",1]
["| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |\n| --- | --- | --- |\n| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 |","| SingleQuery<br>rank-1mAP |\n| --- |\n| 44.4220.76<br>51.9026.35<br>45.5826.11<br>39.419.6<br>48.2424.43<br>55.4329.87<br>48.1529.94<br>--<br>65.8839.55 |\n| 50.8926.79<br>62.1439.61 |\n| 65.0238.27<br>70.1647.45 |\n| 73.6951.48<br>79.5159.87 |",0]
["| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |\n| --- | --- | --- |\n| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 |\n| 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A |","| 43675<br>69.868.4 | 9468<br>85.872.1 | 5384<br>25.618.0 |\n| --- | --- | --- |\n| 7925<br>88.890.5 | 122162<br>113.892.2 | 3042<br>29.725.0 |",1]
["| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |\n| --- | --- | --- |\n| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 |\n| 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A |","| 50.8926.79<br>62.1439.61 |\n| --- |\n| 65.0238.27<br>70.1647.45 |\n| 73.6951.48<br>79.5159.87 |",0]
["| Dataset | Samples | Views | Clusters |\n| --- | --- | --- | --- |\n| UCIDigit | 2000 | 3 | 10 |\n| Reuters | 600 | 5 | 6 |","| 3-sources | 169 | 3 | 6 |\n| --- | --- | --- | --- |\n| Prokaryotic | 551 | 3 | 4 |\n| Synthetic | 1000 | 2 | 2 |",1]
["| Dataset | Samples | Views | Clusters |\n| --- | --- | --- | --- |\n| UCIDigit | 2000 | 3 | 10 |\n| Reuters | 600 | 5 | 6 |","| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |\n| Cancer | 699 | 10 |\n| Qsar | 1055 | 41 |\n| Sonar | 208 | 60 |\n| Theorem | 3060 | 51 |\n| Diabetes | 768 | 8 |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",0]
["| Dataset | Samples | Views | Clusters |\n| --- | --- | --- | --- |\n| UCIDigit | 2000 | 3 | 10 |\n| Reuters | 600 | 5 | 6 |","| 3-sources | 169 | 3 | 6 |\n| --- | --- | --- | --- |\n| Prokaryotic | 551 | 3 | 4 |\n| Synthetic | 1000 | 2 | 2 |",1]
["| Dataset | Samples | Views | Clusters |\n| --- | --- | --- | --- |\n| UCIDigit | 2000 | 3 | 10 |\n| Reuters | 600 | 5 | 6 |","| Diabetes | 768 | 8 |\n| --- | --- | --- |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",0]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva |","| Latino1 | 6.38 | 5.51 | 5.72 | 0.89 | 18.63 | 8.96 | 18.59 | 9.61 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Latino2 | 3.21 | 4.71 | 2.10 | 0.89 | 11.50 | 8.87 | 11.28 | 9.61 |\n| Groove | 0.22 | 0.39 | -0.43 | -0.08 | 9.48 | 3.62 | 9.60 | 8.88 |\n| Dev2Male3 | 3.04 | 6.22 | 2.11 | -3.10 | 13.69 | 12.14 | 13.30 | 4.73 |\n| Dev2Female3 | 4.68 | 5.70 | 3.86 | -1.85 | 15.28 | 11.45 | 16.58 | 5.02 |\n| Dev2WDrums | 9.59 | 16.57 | 10.16 | 0.63 | 19.77 | 23.83 | 19.98 | 7.57 |\n| Dev1WDrums | 4.96 | 16.54 | 3.81 | 6.86 | 13.88 | 20.94 | 12.38 | 16.75 |\n| Average | 4.58 | 7.96 | 3.91 | 0.6 | 14.61 | 12.83 | 13.82 | 8.88 |",1]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva |","|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva |\n| Latino1 | 6.38 | 5.51 | 5.72 | 0.89 | 18.63 | 8.96 | 18.59 | 9.61 |\n| Latino2 | 3.21 | 4.71 | 2.10 | 0.89 | 11.50 | 8.87 | 11.28 | 9.61 |\n| Groove | 0.22 | 0.39 | -0.43 | -0.08 | 9.48 | 3.62 | 9.60 | 8.88 |\n| Dev2Male3 | 3.04 | 6.22 | 2.11 | -3.10 | 13.69 | 12.14 | 13.30 | 4.73 |\n| Dev2Female3 | 4.68 | 5.70 | 3.86 | -1.85 | 15.28 | 11.45 | 16.58 | 5.02 |\n| Dev2WDrums | 9.59 | 16.57 | 10.16 | 0.63 | 19.77 | 23.83 | 19.98 | 7.57 |","| Dev1WDrums | 4.96 | 16.54 | 3.81 | 6.86 | 13.88 | 20.94 | 12.38 | 16.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Average | 4.58 | 7.96 | 3.91 | 0.6 | 14.61 | 12.83 | 13.82 | 8.88 |",1]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva |\n| Latino1 | 6.38 | 5.51 | 5.72 | 0.89 | 18.63 | 8.96 | 18.59 | 9.61 |\n| Latino2 | 3.21 | 4.71 | 2.10 | 0.89 | 11.50 | 8.87 | 11.28 | 9.61 |\n| Groove | 0.22 | 0.39 | -0.43 | -0.08 | 9.48 | 3.62 | 9.60 | 8.88 |\n| Dev2Male3 | 3.04 | 6.22 | 2.11 | -3.10 | 13.69 | 12.14 | 13.30 | 4.73 |\n| Dev2Female3 | 4.68 | 5.70 | 3.86 | -1.85 | 15.28 | 11.45 | 16.58 | 5.02 |\n| Dev2WDrums | 9.59 | 16.57 | 10.16 | 0.63 | 19.77 | 23.83 | 19.98 | 7.57 |","| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |\n| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |\n| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |\n|  | α=0.05 |  |  |  |","| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |\n| --- | --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |\n| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 |",1]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |\n| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |\n| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |\n|  | α=0.05 |  |  |  |","| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |\n| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |\n| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |\n| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 |",0]
["| Algorithm | α=0.01 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 | nTest |","| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |\n| --- | --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |\n| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |\n| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |\n| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 |",1]
["| Algorithm | α=0.01 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 | nTest |","| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |\n| --- | --- | --- | --- | --- |\n| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 |",0]
["| Ranking | Synset | P(c\\|p,r) |\n| --- | --- | --- |\n| 1 | VEHICLE | 0.9995 |\n| 2 | VESSEL | 0.9893 |\n| 3 | AIRCRAFT | 0.9937 |\n| 4 | AIRPLANE | 0.9500 |\n| 5 | SHIP | 0.9114 |\n| ... | ... | ... |\n| 255 | CONCEPT | 0.1002 |\n| 256 | LAW | 0.1001 |","| 257 | PHILOSOPHY | 0.1000 |\n| --- | --- | --- |\n| 258 | JURISPRUDENCE | 0.1000 |",1]
["| Ranking | Synset | P(c\\|p,r) |\n| --- | --- | --- |\n| 1 | VEHICLE | 0.9995 |\n| 2 | VESSEL | 0.9893 |\n| 3 | AIRCRAFT | 0.9937 |\n| 4 | AIRPLANE | 0.9500 |\n| 5 | SHIP | 0.9114 |\n| ... | ... | ... |\n| 255 | CONCEPT | 0.1002 |\n| 256 | LAW | 0.1001 |","| Topics | Question |  |  |  |\n| --- | --- | --- | --- | --- |\n| Q7 | Q8 |  |  |  |\n| NumberofYES | Ranking | NumberofYES | Ranking |  |\n| T1 | 6 | 2 | 3 | 5 |\n| T2 | 5 | 3 | 2 | 8 |\n| T3 | 7 | 1 | 5 | 2 |\n| T4 | 4 | 4 | 3 | 5 |\n| T5 | 3 | 6 | 3 | 5 |\n| T6 | 4 | 4 | 1 | 9 |\n| T7 | 0 | (7) | 4 | 4 |\n| T8 | 0 | (7) | 7 | 1 |\n| T9 | 0 | (7) | 5 | 2 |",0]
["| Ranking | Synset | P(c\\|p,r) |\n| --- | --- | --- |\n| 1 | VEHICLE | 0.9995 |\n| 2 | VESSEL | 0.9893 |\n| 3 | AIRCRAFT | 0.9937 |\n| 4 | AIRPLANE | 0.9500 |\n| 5 | SHIP | 0.9114 |\n| ... | ... | ... |\n| 255 | CONCEPT | 0.1002 |","| 256 | LAW | 0.1001 |\n| --- | --- | --- |\n| 257 | PHILOSOPHY | 0.1000 |\n| 258 | JURISPRUDENCE | 0.1000 |",1]
["| Ranking | Synset | P(c\\|p,r) |\n| --- | --- | --- |\n| 1 | VEHICLE | 0.9995 |\n| 2 | VESSEL | 0.9893 |\n| 3 | AIRCRAFT | 0.9937 |\n| 4 | AIRPLANE | 0.9500 |\n| 5 | SHIP | 0.9114 |\n| ... | ... | ... |\n| 255 | CONCEPT | 0.1002 |","| NumberofYES | Ranking | NumberofYES | Ranking |  |\n| --- | --- | --- | --- | --- |\n| T1 | 6 | 2 | 3 | 5 |\n| T2 | 5 | 3 | 2 | 8 |\n| T3 | 7 | 1 | 5 | 2 |\n| T4 | 4 | 4 | 3 | 5 |\n| T5 | 3 | 6 | 3 | 5 |\n| T6 | 4 | 4 | 1 | 9 |\n| T7 | 0 | (7) | 4 | 4 |\n| T8 | 0 | (7) | 7 | 1 |\n| T9 | 0 | (7) | 5 | 2 |",0]
["|  | Feature | Description |\n| --- | --- | --- |\n| Distance | Manhattan | Manhattandistancefromtwotextfragments |\n| Euclidean | Euclideandistancefromtwotextfragments |  |\n| Cosinesimilarity | Cosinesimilaritydistance |  |\n| Matchingcoeﬃcient | Matchingcoeﬃcientoftwotextfragments |  |","| Dicecoeﬃcient | Dicecoeﬃcientoftwotextfragments |  |\n| --- | --- | --- |\n| Jaccard | Jaccarddistanceoftwotextfragments |  |\n| Jaro | Jarodistanceoftwotextfragments |  |\n| Damerau-Levenshtein | DamerauLevenshteindistanceoftwotextfragments |  |\n| Levenshtein | Levenshteindistanceoftwotextfragments |  |\n| Statistical | Lcs | Thelongestcommonsubstringoftwotextfragments |\n| AverageofTF-IDF | Termfrequency-inversedocumentfrequency |  |\n| Avg-TFofQandS | Avg-TFofwordsinaQappearinginaS |  |\n| Avg-TFofSandQ | Avg-TFofwordsinaSappearinginaS |  |\n| Wordoverlapping | #wordoverlappinginaQappearinginaarticle |  |\n| AverageofWord2Vec | Averageofword2vecsimilarity |  |",1]
["|  | Feature | Description |\n| --- | --- | --- |\n| Distance | Manhattan | Manhattandistancefromtwotextfragments |\n| Euclidean | Euclideandistancefromtwotextfragments |  |\n| Cosinesimilarity | Cosinesimilaritydistance |  |\n| Matchingcoeﬃcient | Matchingcoeﬃcientoftwotextfragments |  |","| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |\n| Mediannumberofwords | 54 |\n| Mediansentencelength | 51characters |\n| MedianNbrofwordsinsentence | 8 |",0]
["|  | Feature | Description |\n| --- | --- | --- |\n| Distance | Manhattan | Manhattandistancefromtwotextfragments |\n| Euclidean | Euclideandistancefromtwotextfragments |  |\n| Cosinesimilarity | Cosinesimilaritydistance |  |\n| Matchingcoeﬃcient | Matchingcoeﬃcientoftwotextfragments |  |\n| Dicecoeﬃcient | Dicecoeﬃcientoftwotextfragments |  |\n| Jaccard | Jaccarddistanceoftwotextfragments |  |\n| Jaro | Jarodistanceoftwotextfragments |  |\n| Damerau-Levenshtein | DamerauLevenshteindistanceoftwotextfragments |  |\n| Levenshtein | Levenshteindistanceoftwotextfragments |  |","| Statistical | Lcs | Thelongestcommonsubstringoftwotextfragments |\n| --- | --- | --- |\n| AverageofTF-IDF | Termfrequency-inversedocumentfrequency |  |\n| Avg-TFofQandS | Avg-TFofwordsinaQappearinginaS |  |\n| Avg-TFofSandQ | Avg-TFofwordsinaSappearinginaS |  |\n| Wordoverlapping | #wordoverlappinginaQappearinginaarticle |  |\n| AverageofWord2Vec | Averageofword2vecsimilarity |  |",1]
["|  | Feature | Description |\n| --- | --- | --- |\n| Distance | Manhattan | Manhattandistancefromtwotextfragments |\n| Euclidean | Euclideandistancefromtwotextfragments |  |\n| Cosinesimilarity | Cosinesimilaritydistance |  |\n| Matchingcoeﬃcient | Matchingcoeﬃcientoftwotextfragments |  |\n| Dicecoeﬃcient | Dicecoeﬃcientoftwotextfragments |  |\n| Jaccard | Jaccarddistanceoftwotextfragments |  |\n| Jaro | Jarodistanceoftwotextfragments |  |\n| Damerau-Levenshtein | DamerauLevenshteindistanceoftwotextfragments |  |\n| Levenshtein | Levenshteindistanceoftwotextfragments |  |","| Mediansentencelength | 51characters |\n| --- | --- |\n| MedianNbrofwordsinsentence | 8 |",0]
["| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |\n| --- | --- | --- | --- | --- | --- |\n| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |\n| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |\n| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |\n| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |\n| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |\n| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |\n| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |","| a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |\n| --- | --- | --- | --- | --- | --- |\n| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |\n| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 |\n| a678701pI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |\n| a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |\n| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 |",1]
["| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |\n| --- | --- | --- | --- | --- | --- |\n| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |\n| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |\n| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |\n| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |\n| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |\n| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |\n| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |","| Patient’sID | ThemedicaleventsFortheﬁrstpatient |\n| --- | --- |\n| a670605Up,a670602uS | 1B8 |\n| a6732002X,a673200WF | 17Z |\n| a6732002X,a673201@y | 17Z |\n| a673200tm,a673201j7 | ZL5 |\n| a673201@y,673200WF | 17Z |\n| a673201Wt,a6732025y | 740 |\n| a673201wI,a678701pI | H05 |\n| a67340327,a681001KN | 171 |\n| a677505bO,a677505pe | 8B3 |\n| a683104@Y,677505bO | 8B3 |\n| a683104@Y,a677505pe | 8B3 |\n| a673201wI,a777805mH | H05 |\n| a673402zw,a683105Bk | H17,8B3 |\n| a678701pI,a777805mH | H05 |\n| a791600uB,a777806FG | H17 |\n| a7916065T,a777800Gj | A78 |",0]
["| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |\n| --- | --- | --- | --- | --- | --- |\n| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |\n| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |\n| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |\n| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |\n| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |\n| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |\n| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |\n| a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |\n| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |\n| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 |","| a678701pI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |\n| --- | --- | --- | --- | --- | --- |\n| a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |\n| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 |",1]
["| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |\n| --- | --- | --- | --- | --- | --- |\n| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |\n| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |\n| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |\n| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |\n| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |\n| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |\n| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |\n| a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |\n| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |\n| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 |","| a677505bO,a677505pe | 8B3 |\n| --- | --- |\n| a683104@Y,677505bO | 8B3 |\n| a683104@Y,a677505pe | 8B3 |\n| a673201wI,a777805mH | H05 |\n| a673402zw,a683105Bk | H17,8B3 |\n| a678701pI,a777805mH | H05 |\n| a791600uB,a777806FG | H17 |\n| a7916065T,a777800Gj | A78 |",0]
["| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |\n| --- | --- | --- | --- | --- | --- |\n| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 |\n| PAMAP2 | 100 | 4(Acc,Gyro,Mag,Temp) | 12 | 10 | 108 |\n| USCHAD | 100 | 2(AccandGyro) | 12 | 15 | 840 |\n| UTD-MHAD1 | 50 | 2(Acc,Gyro) | 21 | 9 | 617 |","| UTD-MHAD2 | 50 | 2(Acc,Gyro) | 5 | 9 | 190 |\n| --- | --- | --- | --- | --- | --- |\n| WHARF | 32 | 1(Acc) | 12 | 17 | 884 |\n| WISDM | 20 | 1(Acc) | 7 | 36 | 402 |",1]
["| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |\n| --- | --- | --- | --- | --- | --- |\n| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 |\n| PAMAP2 | 100 | 4(Acc,Gyro,Mag,Temp) | 12 | 10 | 108 |\n| USCHAD | 100 | 2(AccandGyro) | 12 | 15 | 840 |\n| UTD-MHAD1 | 50 | 2(Acc,Gyro) | 21 | 9 | 617 |","| Dataset | logβ | α | τ |\n| --- | --- | --- | --- |\n| N=50 |  |  |  |\n| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |\n| BP | 0.93(0.12) | 0.08(0.04) | 0.92(0.00) |\n| MN | 1.66(0.16) | 0.03(0.01) | 0.72(0.04) |\n| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |\n| N=5000 |  |  |  |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",0]
["| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |\n| --- | --- | --- | --- | --- | --- |\n| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 |","| PAMAP2 | 100 | 4(Acc,Gyro,Mag,Temp) | 12 | 10 | 108 |\n| --- | --- | --- | --- | --- | --- |\n| USCHAD | 100 | 2(AccandGyro) | 12 | 15 | 840 |\n| UTD-MHAD1 | 50 | 2(Acc,Gyro) | 21 | 9 | 617 |\n| UTD-MHAD2 | 50 | 2(Acc,Gyro) | 5 | 9 | 190 |\n| WHARF | 32 | 1(Acc) | 12 | 17 | 884 |\n| WISDM | 20 | 1(Acc) | 7 | 36 | 402 |",1]
["| Dataset | Frenquency(Hz) | #Sensors | #Activities | #Subjects | #Trials |\n| --- | --- | --- | --- | --- | --- |\n| MHEALTH | 50 | 3(Acc,Gyro,Mag) | 12 | 10 | 262 |","| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |\n| --- | --- | --- | --- |\n| N=5000 |  |  |  |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| (a)Digg:correlation |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ﬁlter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 |","| (b)Twitter:correlation |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n|  | 28M | -0.769 | -0.339 | -0.755 | 0.523 | 0.350 | -0.769 | 0.406 |",1]
["| (a)Digg:correlation |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ﬁlter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 |","| Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",0]
["| (a)Digg:correlation |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ﬁlter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 |\n| (b)Twitter:correlation |  |  |  |  |  |  |  |  |","|  | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 28M | -0.769 | -0.339 | -0.755 | 0.523 | 0.350 | -0.769 | 0.406 |",1]
["| (a)Digg:correlation |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ﬁlter | #edges | CN | JC | AA | CS | CSAL | NC | NCAL |\n| co-votes¡200<br>co-votes¡400<br>co-votes¡800<br>all | 1,410,590<br>1,429,712<br>1,438,320<br>1,439,842 | 0.256<br>0.277<br>0.283<br>0.279 | 0.129<br>0.158<br>0.170<br>0.163 | 0.232<br>0.246<br>0.249<br>0.246 | 0.015<br>0.019<br>0.024<br>0.025 | -0.010<br>-0.009<br>-0.008<br>-0.008 | 0.256<br>0.277<br>0.283<br>0.279 | -0.028<br>-0.027<br>-0.025<br>-0.023 |\n| (b)Twitter:correlation |  |  |  |  |  |  |  |  |","| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",0]
["| Signaltypes | Signiﬁcanceofthesymbol |\n| --- | --- |\n| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. |","| visitNode | OnarrivalofthissignalanodeofGwakeupandstartsprocessing. |\n| --- | --- |\n| child | AnodeinGsendsasignaltoitsparenttoregisteritselfasachildinparent.child |\n| cycle | AnodeinGorFTG(G)sendsasignalonidentiﬁcationofanelementarybar.cycle |",1]
["| Signaltypes | Signiﬁcanceofthesymbol |\n| --- | --- |\n| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. |","| Signals | Description |\n| --- | --- |\n| clk | Thisistheglobalclocksignal |\n| resetn | Activelowsystemreset |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |\n| bo[7:0] | EnhancedBluecolorcomponent |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",0]
["| Signaltypes | Signiﬁcanceofthesymbol |\n| --- | --- |\n| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. |","| visitNode | OnarrivalofthissignalanodeofGwakeupandstartsprocessing. |\n| --- | --- |\n| child | AnodeinGsendsasignaltoitsparenttoregisteritselfasachildinparent.child |\n| cycle | AnodeinGorFTG(G)sendsasignalonidentiﬁcationofanelementarybar.cycle |",1]
["| Signaltypes | Signiﬁcanceofthesymbol |\n| --- | --- |\n| visit | OnarrivalofthissignalanodeofFTG(G)wakeupandstartsprocessing. |","| go[7:0] | EnhancedGreencolorcomponent |\n| --- | --- |\n| bo[7:0] | EnhancedBluecolorcomponent |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",0]
["| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |","| sduty | Minimumactivitylevelscalingfactor |\n| --- | --- |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",1]
["| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |","| Name | Description |\n| --- | --- |\n| αR | overheadareaperkBofregister-memorypervector-unit |\n| αM | overheadareaperkBofshared-memoryperSM |\n| αL1 | L1cacheoverheadareaperSM-pair |\n| αL2 | L2cacheoverheadarea |\n| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |\n| RVU | kBofregisterﬁlespervector-unit |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |\n| Acache | totalcachediearea |\n| Aoh | totalon-chipoverheaddiearea |\n| ALSU | totalload-storeunitdiearea |\n| ASFU | totalspecial-functionunitdiearea |\n| AFDU | totalfetch-decodeunitdiearea |\n| AIcache | totalinstruction-cachediearea |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",0]
["| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |","| φ+ | Permanenceincrementamount |\n| --- | --- |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",1]
["| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |","| AIcache | totalinstruction-cachediearea |\n| --- | --- |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",0]
["| Department | Kendalτ |\n| --- | --- |\n| AEGEANICSD | 0.27 |\n| AUEBDI | 0.17 |\n| AUTHDI | 0.37 |","| AUTHECE | 0.34 |\n| --- | --- |\n| CRETECSD | 0.40 |\n| CRETEECE | 0.50 |\n| IOANCSE | 0.58 |\n| IONIODI | 0.63 |\n| NTUAECE | −0.04 |\n| PATRASECE | 0.03 |\n| PELOPDI | 0.71 |\n| UADI | 0.39 |\n| UNIPIDI | 0.11 |\n| UTHDIB | 0.54 |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",1]
["| Department | Kendalτ |\n| --- | --- |\n| AEGEANICSD | 0.27 |\n| AUEBDI | 0.17 |\n| AUTHDI | 0.37 |","| Department | median#articles | Department | avg#articles |\n| --- | --- | --- | --- |\n| CRETEECE | 20 | AUTHDI | 32.6 |\n| AUTHDI | 18 | CRETEECE | 31.1 |\n| CRETECSD | 18 | CRETECSD | 28.6 |\n| UTHECE | 15 | PATRASECE | 25.0 |\n| AEGEANICSD | 14 | NTUAECE | 21.7 |\n| PELOPDI | 14 | AEGEANICSD | 20.6 |\n| AUTHECE | 13 | PELOPDI | 19.7 |\n| IOANCSE | 13 | UTHECE | 19.7 |\n| PATRASECE | 13 | AUTHECE | 19.4 |\n| UTHDIB | 12 | IONIODI | 18.8 |\n| NTUAECE | 11 | IOANCSE | 18.0 |\n| UADI | 11 | UADI | 17.4 |\n| AUEBDI | 10 | AUEBDI | 17.2 |\n| IONIODI | 9 | UNIPIDI | 12.8 |\n| UNIPIDI | 7 | UTHDIB | 12.2 |",0]
["| Department | Kendalτ |\n| --- | --- |\n| AEGEANICSD | 0.27 |\n| AUEBDI | 0.17 |\n| AUTHDI | 0.37 |\n| AUTHECE | 0.34 |\n| CRETECSD | 0.40 |","| CRETEECE | 0.50 |\n| --- | --- |\n| IOANCSE | 0.58 |\n| IONIODI | 0.63 |\n| NTUAECE | −0.04 |\n| PATRASECE | 0.03 |\n| PELOPDI | 0.71 |\n| UADI | 0.39 |\n| UNIPIDI | 0.11 |\n| UTHDIB | 0.54 |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",1]
["| Department | Kendalτ |\n| --- | --- |\n| AEGEANICSD | 0.27 |\n| AUEBDI | 0.17 |\n| AUTHDI | 0.37 |\n| AUTHECE | 0.34 |\n| CRETECSD | 0.40 |","| UTHDIB | 12 | IONIODI | 18.8 |\n| --- | --- | --- | --- |\n| NTUAECE | 11 | IOANCSE | 18.0 |\n| UADI | 11 | UADI | 17.4 |\n| AUEBDI | 10 | AUEBDI | 17.2 |\n| IONIODI | 9 | UNIPIDI | 12.8 |\n| UNIPIDI | 7 | UTHDIB | 12.2 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 |","| ohsumed | 26 | 26 | 38 | 37 | 8 | 30/10 | 20/5 | 30/5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| acpj | 16 | 16 | - | - | 10 | 30/15 | 30/5 | 20/5 |\n| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 |\n| thrombin | 15 | 11 | 38 | 42 | 7 | 30/30 | 25/30 | 30/25 |\n| infant | 5 | 5 | 7 | 6 | 3 | 20/25 | 10/30 | 25/10 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 2 | 2 | 40 | 15 | 13 | 1 | 1 | 4 |\n| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |\n| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |\n| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |\n| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |\n| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 |\n| ohsumed | 26 | 26 | 38 | 37 | 8 | 30/10 | 20/5 | 30/5 |\n| acpj | 16 | 16 | - | - | 10 | 30/15 | 30/5 | 20/5 |\n| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 |","| thrombin | 15 | 11 | 38 | 42 | 7 | 30/30 | 25/30 | 30/25 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| infant | 5 | 5 | 7 | 6 | 3 | 20/25 | 10/30 | 25/10 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 |\n| ohsumed | 26 | 26 | 38 | 37 | 8 | 30/10 | 20/5 | 30/5 |\n| acpj | 16 | 16 | - | - | 10 | 30/15 | 30/5 | 20/5 |\n| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 |","| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |\n| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |\n| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |\n| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 |",0]
["| Datasets |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| AIDAtestA | AIDAtestB |  |  |  |\n| Systems | R@MI | R@MA | R@MI | R@MA |","| LocalMention | 69.73 | 69.30 | 67.98 | 72.75 |\n| --- | --- | --- | --- | --- |\n| Unnorm | 69.77 | 69.95 | 75.87 | 75.12 |\n| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |\n| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |\n| PBoH | 85.53 | 85.09 | 87.51 | 86.39 |",1]
["| Datasets |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| AIDAtestA | AIDAtestB |  |  |  |\n| Systems | R@MI | R@MA | R@MI | R@MA |","| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Datasets |  |\n| --- | --- |\n| AIDAtestA | AIDAtestB |","| Systems | R@MI | R@MA | R@MI | R@MA |\n| --- | --- | --- | --- | --- |\n| LocalMention | 69.73 | 69.30 | 67.98 | 72.75 |\n| Unnorm | 69.77 | 69.95 | 75.87 | 75.12 |\n| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |\n| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |\n| PBoH | 85.53 | 85.09 | 87.51 | 86.39 |",1]
["| Datasets |  |\n| --- | --- |\n| AIDAtestA | AIDAtestB |","| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |",0]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |","| 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 |\n| --- | --- | --- |\n| 20 | 0.0350.0270.0300.063 | 0.0560.0570.0560.075 |\n| 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |\n| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |\n| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 |",1]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |","| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |\n| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |\n| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |\n| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 |",0]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |\n| 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 |","| 20 | 0.0350.0270.0300.063 | 0.0560.0570.0560.075 |\n| --- | --- | --- |\n| 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |\n| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |\n| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 |",1]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |\n| 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 |","| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |\n| --- | --- | --- |\n| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 |",0]
["| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |\n| --- | --- | --- | --- | --- | --- |\n| CW | 99min | 102min | 121min | 155min | 190min |\n| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |","| CC | 95min | 123min | 132min | 141min | 151min |\n| --- | --- | --- | --- | --- | --- |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",1]
["| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |\n| --- | --- | --- | --- | --- | --- |\n| CW | 99min | 102min | 121min | 155min | 190min |\n| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |","| b | 7 | 9 | 10 | 12 |\n| --- | --- | --- | --- | --- |\n| CW | 81min | 92min | 103min | 124min |\n| QC | 0.99 | 0.994 | 0.993 | 0.991 |\n| CC | 102min | 123min | 128min | 131min |\n| QD | 0.94 | 0.96 | 0.95 | 0.94 |",0]
["| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |\n| --- | --- | --- | --- | --- | --- |\n| CW | 99min | 102min | 121min | 155min | 190min |\n| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |","| CC | 95min | 123min | 132min | 141min | 151min |\n| --- | --- | --- | --- | --- | --- |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",1]
["| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |\n| --- | --- | --- | --- | --- | --- |\n| CW | 99min | 102min | 121min | 155min | 190min |\n| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |","| CC | 102min | 123min | 128min | 131min |\n| --- | --- | --- | --- | --- |\n| QD | 0.94 | 0.96 | 0.95 | 0.94 |",0]
["| Protocol | numberofclients |\n| --- | --- |\n| 70012 | 6655 |\n| 70002 | 3013 |\n| N/A | 771 |\n| 7000 | 1153 |\n| 70013 | 88 |\n| 70010 | 78 |\n| 80001 | 71 |\n| 70011 | 68 |\n| 80000 | 24 |\n| 99999 | 4 |\n| 50400 | 2 |\n| 70014 | 2 |\n| 60000 | 1 |\n| 70003 | 1 |","| 60002 | 1 |\n| --- | --- |\n| 80002 | 1 |",1]
["| Protocol | numberofclients |\n| --- | --- |\n| 70012 | 6655 |\n| 70002 | 3013 |\n| N/A | 771 |\n| 7000 | 1153 |\n| 70013 | 88 |\n| 70010 | 78 |\n| 80001 | 71 |\n| 70011 | 68 |\n| 80000 | 24 |\n| 99999 | 4 |\n| 50400 | 2 |\n| 70014 | 2 |\n| 60000 | 1 |\n| 70003 | 1 |","| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| Protocol | numberofclients |\n| --- | --- |\n| 70012 | 6655 |\n| 70002 | 3013 |\n| N/A | 771 |\n| 7000 | 1153 |\n| 70013 | 88 |\n| 70010 | 78 |\n| 80001 | 71 |\n| 70011 | 68 |","| 80000 | 24 |\n| --- | --- |\n| 99999 | 4 |\n| 50400 | 2 |\n| 70014 | 2 |\n| 60000 | 1 |\n| 70003 | 1 |\n| 60002 | 1 |\n| 80002 | 1 |",1]
["| Protocol | numberofclients |\n| --- | --- |\n| 70012 | 6655 |\n| 70002 | 3013 |\n| N/A | 771 |\n| 7000 | 1153 |\n| 70013 | 88 |\n| 70010 | 78 |\n| 80001 | 71 |\n| 70011 | 68 |","| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| --- | --- | --- | --- | --- | --- |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 17 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |","| Td | 2msec | Routing | AODV |\n| --- | --- | --- | --- |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | PI21 | Flow3 | PI9 |\n| Flow2 | PI15 | Flow4 | Pi3 |\n| Throughputﬂow1 | 130.03kbps | Throughputﬂow3 | 71.76kbps |\n| Throughputﬂow2 | 81.71kbps | Throughputﬂow4 | 59.68kbps |",1]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 17 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 17 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |","| Tq | 20msec | Source | CBR |\n| --- | --- | --- | --- |\n| Flow1 | PI21 | Flow3 | PI9 |\n| Flow2 | PI15 | Flow4 | Pi3 |\n| Throughputﬂow1 | 130.03kbps | Throughputﬂow3 | 71.76kbps |\n| Throughputﬂow2 | 81.71kbps | Throughputﬂow4 | 59.68kbps |",1]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 17 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |","| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| --- | --- | --- | --- |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Case | Behavior | Example | Desirable? |\n| --- | --- | --- | --- |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |","| ?? | Causingirreversibleeﬀectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |\n| --- | --- | --- | --- |\n| ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |\n| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseoﬀtheconveyor<br>belt(seeExample??) | Yes |",1]
["| Case | Behavior | Example | Desirable? |\n| --- | --- | --- | --- |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| Case | Behavior | Example | Desirable? |\n| --- | --- | --- | --- |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |","| ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |\n| --- | --- | --- | --- |\n| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseoﬀtheconveyor<br>belt(seeExample??) | Yes |",1]
["| Case | Behavior | Example | Desirable? |\n| --- | --- | --- | --- |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |","| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| --- | --- | --- |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |\n| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |\n| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |","| 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |\n| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |\n| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |\n| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |\n| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |\n| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 |",1]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |\n| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |\n| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |","| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |\n| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |\n| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |\n| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |\n| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |\n| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |\n| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |\n| 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |\n| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |\n| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |\n| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 |",0]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |\n| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |","| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |\n| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |\n| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |\n| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |\n| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |\n| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |\n| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 |",1]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |\n| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |","| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |\n| 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |\n| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |\n| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |\n| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 |",0]
["| Action | Bloometal. | LRBM |\n| --- | --- | --- |\n| Fighting | 70.46 | 97.09 |\n| Golf | 83.37 | 81.82 |\n| Tennis | 56.44 | 84.38 |\n| Bowling | 80.78 | 61.54 |","| FPS | 53.57 | 95.52 |\n| --- | --- | --- |\n| Driving | 84.24 | 100.00 |\n| Misc | 78.21 | 95.24 |\n| Avg. | 72.44 | 87.94 |",1]
["| Action | Bloometal. | LRBM |\n| --- | --- | --- |\n| Fighting | 70.46 | 97.09 |\n| Golf | 83.37 | 81.82 |\n| Tennis | 56.44 | 84.38 |\n| Bowling | 80.78 | 61.54 |","| ActionCategory | G3D | SVM-SW | RNN-SW | CA-RNN | JCR-RNN |\n| --- | --- | --- | --- | --- | --- |\n| Fighting | 58.54 | 76.72 | 83.28 | 94.00 | 96.18 |\n| Golf | 11.88 | 45.00 | 55.00 | 50.00 | 70.00 |\n| Tennis | 14.85 | 37.57 | 36.68 | 59.04 | 62.38 |\n| Bowling | 31.58 | 22.22 | 44.44 | 44.44 | 66.67 |\n| FPS | 13.65 | 35.35 | 39.89 | 23.69 | 33.85 |\n| Driving | 2.5 | 39.99 | 50.00 | 19.99 | 50.00 |\n| Misc | 18.13 | 53.32 | 65.24 | 73.81 | 86.19 |",0]
["| Action | Bloometal. | LRBM |\n| --- | --- | --- |\n| Fighting | 70.46 | 97.09 |\n| Golf | 83.37 | 81.82 |\n| Tennis | 56.44 | 84.38 |","| Bowling | 80.78 | 61.54 |\n| --- | --- | --- |\n| FPS | 53.57 | 95.52 |\n| Driving | 84.24 | 100.00 |\n| Misc | 78.21 | 95.24 |\n| Avg. | 72.44 | 87.94 |",1]
["| Action | Bloometal. | LRBM |\n| --- | --- | --- |\n| Fighting | 70.46 | 97.09 |\n| Golf | 83.37 | 81.82 |\n| Tennis | 56.44 | 84.38 |","| Driving | 2.5 | 39.99 | 50.00 | 19.99 | 50.00 |\n| --- | --- | --- | --- | --- | --- |\n| Misc | 18.13 | 53.32 | 65.24 | 73.81 | 86.19 |",0]
["| Metric | Mean1 | Mean2 |\n| --- | --- | --- |\n| LikedAgent | 2.75 | 3 |\n| LikesAgents | 3.38 | 3.72 |\n| Engaging | 2.75 | 3.14 |\n| Enjoyment | 2.75 | 3.14 |\n| Vocabulary | 2.63 | 2.72 |","| Naturalness | 1.88 | 2.15 |\n| --- | --- | --- |\n| Clarity | 2.63 | 2.86 |\n| BackgroundKnowledge | 3.63 | 3.43 |\n| BackgroundExperience | 2.75 | 2.57 |\n| AgentsBehaviors | 2.63 | 2.72 |\n| ConversationalAbilities | 3.13 | 3.01 |\n| EmpathicAbilities | 3.13 | 2.86 |",1]
["| Metric | Mean1 | Mean2 |\n| --- | --- | --- |\n| LikedAgent | 2.75 | 3 |\n| LikesAgents | 3.38 | 3.72 |\n| Engaging | 2.75 | 3.14 |\n| Enjoyment | 2.75 | 3.14 |\n| Vocabulary | 2.63 | 2.72 |","| SocialAttributes | BaselineI | BaselineII | OurModel |\n| --- | --- | --- | --- |\n| happy | 0.84 | 0.86 | 0.84 |\n| unhappy | 0.75 | 0.81 | 0.80 |\n| friendly | 0.78 | 0.83 | 0.82 |\n| unfriendly | 0.72 | 0.80 | 0.79 |\n| sociable | 0.74 | 0.78 | 0.78 |\n| introverted | 0.50 | 0.64 | 0.65 |\n| attractive | 0.72 | 0.66 | 0.75 |\n| unattractive | 0.62 | 0.62 | 0.70 |\n| kind | 0.72 | 0.79 | 0.79 |\n| mean | 0.69 | 0.75 | 0.73 |\n| caring | 0.72 | 0.78 | 0.79 |\n| cold | 0.71 | 0.81 | 0.79 |\n| trustworthy | 0.62 | 0.72 | 0.73 |\n| untrustworthy | 0.60 | 0.69 | 0.70 |\n| responsible | 0.58 | 0.65 | 0.70 |\n| irresponsible | 0.55 | 0.64 | 0.67 |\n| conﬁdent | 0.55 | 0.55 | 0.61 |\n| uncertain | 0.45 | 0.62 | 0.63 |\n| humble | 0.55 | 0.64 | 0.63 |\n| egotistic | 0.52 | 0.62 | 0.62 |\n| emotionallystable | 0.53 | 0.64 | 0.67 |\n| emotionallyunstable | 0.50 | 0.62 | 0.64 |\n| normal | 0.49 | 0.58 | 0.61 |\n| weird | 0.52 | 0.50 | 0.56 |\n| intelligent | 0.49 | 0.53 | 0.62 |\n| unintelligent | 0.43 | 0.53 | 0.58 |\n| interesting | 0.42 | 0.64 | 0.67 |\n| boring | 0.39 | 0.54 | 0.60 |\n| calm | 0.41 | 0.47 | 0.50 |\n| aggressive | 0.65 | 0.72 | 0.72 |\n| emotional | 0.33 | 0.60 | 0.60 |\n| unemotional | 0.56 | 0.76 | 0.75 |\n| memorable | 0.30 | 0.38 | 0.48 |\n| forgettable | 0.27 | 0.40 | 0.48 |\n| typical | 0.28 | 0.41 | 0.43 |\n| atypical | 0.24 | 0.40 | 0.43 |\n| common | 0.25 | 0.37 | 0.40 |\n| uncommon | 0.27 | 0.38 | 0.40 |\n| familiar | 0.24 | 0.42 | 0.44 |\n| unfamiliar | 0.18 | 0.40 | 0.44 |",0]
["| Metric | Mean1 | Mean2 |\n| --- | --- | --- |\n| LikedAgent | 2.75 | 3 |","| LikesAgents | 3.38 | 3.72 |\n| --- | --- | --- |\n| Engaging | 2.75 | 3.14 |\n| Enjoyment | 2.75 | 3.14 |\n| Vocabulary | 2.63 | 2.72 |\n| Naturalness | 1.88 | 2.15 |\n| Clarity | 2.63 | 2.86 |\n| BackgroundKnowledge | 3.63 | 3.43 |\n| BackgroundExperience | 2.75 | 2.57 |\n| AgentsBehaviors | 2.63 | 2.72 |\n| ConversationalAbilities | 3.13 | 3.01 |\n| EmpathicAbilities | 3.13 | 2.86 |",1]
["| Metric | Mean1 | Mean2 |\n| --- | --- | --- |\n| LikedAgent | 2.75 | 3 |","| egotistic | 0.52 | 0.62 | 0.62 |\n| --- | --- | --- | --- |\n| emotionallystable | 0.53 | 0.64 | 0.67 |\n| emotionallyunstable | 0.50 | 0.62 | 0.64 |\n| normal | 0.49 | 0.58 | 0.61 |\n| weird | 0.52 | 0.50 | 0.56 |\n| intelligent | 0.49 | 0.53 | 0.62 |\n| unintelligent | 0.43 | 0.53 | 0.58 |\n| interesting | 0.42 | 0.64 | 0.67 |\n| boring | 0.39 | 0.54 | 0.60 |\n| calm | 0.41 | 0.47 | 0.50 |\n| aggressive | 0.65 | 0.72 | 0.72 |\n| emotional | 0.33 | 0.60 | 0.60 |\n| unemotional | 0.56 | 0.76 | 0.75 |\n| memorable | 0.30 | 0.38 | 0.48 |\n| forgettable | 0.27 | 0.40 | 0.48 |\n| typical | 0.28 | 0.41 | 0.43 |\n| atypical | 0.24 | 0.40 | 0.43 |\n| common | 0.25 | 0.37 | 0.40 |\n| uncommon | 0.27 | 0.38 | 0.40 |\n| familiar | 0.24 | 0.42 | 0.44 |\n| unfamiliar | 0.18 | 0.40 | 0.44 |",0]
["| Conﬁguration | p | T1 | T2 | B1 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |\n| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 |\n| 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N |","| 4 | 1 | ∅ | 3,...,N,1,2N+1 | ∅ | N+2,...,2N,2 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 0 | ∅ | 1,2N+1,2,...,N−1 | ∅ | N+2,...,2N,N |",1]
["| Conﬁguration | p | T1 | T2 | B1 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |\n| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 |\n| 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N |","| Conﬁg. | p | B1 | T1 | T2 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1<br>1 | 2,...,N | N+1,...,2N |\n| 2 | 0 | ∅ | 2N+1 | 1,...,N−1 | N,...,2N−1 |\n| 3 | 0 | 2N+1 | ∅ | N,1,...,N−1 | N+1,...,2N−1 |\n| 4 | 1 | ∅ | ∅ | 2N+1,N,1,...,N−2 | N−1,N+1,...,2N−1 |\n| 5 | 0 | ∅ | ∅ | N−1,2N+1,N,1,...,N−3 | N−2,N+1,...,2N−1 |\n| ... | 0 | ... | ... | ... | ... |\n| N+2 | 0 | ∅ | ∅ | 2,...,N−1,2N+1,N | 1,N+1,...,2N−1 |",0]
["| Conﬁguration | p | T1 | T2 | B1 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |\n| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 |","| 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 1 | ∅ | 3,...,N,1,2N+1 | ∅ | N+2,...,2N,2 |\n| 5 | 0 | ∅ | 1,2N+1,2,...,N−1 | ∅ | N+2,...,2N,N |",1]
["| Conﬁguration | p | T1 | T2 | B1 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |\n| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 |","| ... | 0 | ... | ... | ... | ... |\n| --- | --- | --- | --- | --- | --- |\n| N+2 | 0 | ∅ | ∅ | 2,...,N−1,2N+1,N | 1,N+1,...,2N−1 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |","| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |","| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |","| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |","| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |\n| --- | --- | --- | --- | --- | --- |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 |",0]
["| Methods | FCN | OurFCN | OurGRU-RNN | OurDA-RNN |\n| --- | --- | --- | --- | --- |\n| Background | 94.3 | 96.1 | 96.8 | 97.6 |\n| Bowl | 78.6 | 87.0 | 86.4 | 92.7 |\n| Cap | 61.2 | 79.0 | 82.0 | 84.4 |","| CerealBox | 80.4 | 87.5 | 87.5 | 88.3 |\n| --- | --- | --- | --- | --- |\n| CoﬀeeMug | 62.7 | 75.7 | 76.1 | 86.3 |\n| CoﬀeeTable | 93.6 | 95.2 | 96.0 | 97.3 |\n| OﬃceChair | 67.3 | 71.6 | 72.7 | 77.0 |\n| SofaCan | 73.5 | 82.9 | 81.9 | 88.7 |\n| Sofa | 90.8 | 92.9 | 93.5 | 95.6 |\n| Table | 84.2 | 89.8 | 90.8 | 92.8 |\n| MEAN | 78.7 | 85.8 | 86.4 | 90.1 |",1]
["| Methods | FCN | OurFCN | OurGRU-RNN | OurDA-RNN |\n| --- | --- | --- | --- | --- |\n| Background | 94.3 | 96.1 | 96.8 | 97.6 |\n| Bowl | 78.6 | 87.0 | 86.4 | 92.7 |\n| Cap | 61.2 | 79.0 | 82.0 | 84.4 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Methods | FCN | OurFCN | OurGRU-RNN | OurDA-RNN |\n| --- | --- | --- | --- | --- |\n| Background | 94.3 | 96.1 | 96.8 | 97.6 |\n| Bowl | 78.6 | 87.0 | 86.4 | 92.7 |\n| Cap | 61.2 | 79.0 | 82.0 | 84.4 |\n| CerealBox | 80.4 | 87.5 | 87.5 | 88.3 |\n| CoﬀeeMug | 62.7 | 75.7 | 76.1 | 86.3 |\n| CoﬀeeTable | 93.6 | 95.2 | 96.0 | 97.3 |\n| OﬃceChair | 67.3 | 71.6 | 72.7 | 77.0 |\n| SofaCan | 73.5 | 82.9 | 81.9 | 88.7 |","| Sofa | 90.8 | 92.9 | 93.5 | 95.6 |\n| --- | --- | --- | --- | --- |\n| Table | 84.2 | 89.8 | 90.8 | 92.8 |\n| MEAN | 78.7 | 85.8 | 86.4 | 90.1 |",1]
["| Methods | FCN | OurFCN | OurGRU-RNN | OurDA-RNN |\n| --- | --- | --- | --- | --- |\n| Background | 94.3 | 96.1 | 96.8 | 97.6 |\n| Bowl | 78.6 | 87.0 | 86.4 | 92.7 |\n| Cap | 61.2 | 79.0 | 82.0 | 84.4 |\n| CerealBox | 80.4 | 87.5 | 87.5 | 88.3 |\n| CoﬀeeMug | 62.7 | 75.7 | 76.1 | 86.3 |\n| CoﬀeeTable | 93.6 | 95.2 | 96.0 | 97.3 |\n| OﬃceChair | 67.3 | 71.6 | 72.7 | 77.0 |\n| SofaCan | 73.5 | 82.9 | 81.9 | 88.7 |","| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| ConnectedNodes | Distance |\n| --- | --- |\n| N5↔N2 | 3.4m |\n| N2↔N3 | 5.4m |","| N3↔N4 | 2.8m |\n| --- | --- |\n| N3↔N1 | 3.3m |\n| N4↔N1 | 6.2m |",1]
["| ConnectedNodes | Distance |\n| --- | --- |\n| N5↔N2 | 3.4m |\n| N2↔N3 | 5.4m |","| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |\n| --- | --- | --- | --- | --- |\n| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |\n| 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |\n| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |\n| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |\n| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 |\n| 310 | 4.56×10 | 10 | 6.13×10 | 4.61×10 |\n| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |\n| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |\n| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |\n| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |\n| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |\n| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 |",0]
["| ConnectedNodes | Distance |\n| --- | --- |\n| N5↔N2 | 3.4m |\n| N2↔N3 | 5.4m |","| N3↔N4 | 2.8m |\n| --- | --- |\n| N3↔N1 | 3.3m |\n| N4↔N1 | 6.2m |",1]
["| ConnectedNodes | Distance |\n| --- | --- |\n| N5↔N2 | 3.4m |\n| N2↔N3 | 5.4m |","| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |\n| --- | --- | --- | --- | --- |\n| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |\n| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |\n| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |\n| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |\n| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 |",0]
["| Architecture | Catheter | Vessels |\n| --- | --- | --- |\n| U-Net | 0.49 | 0.30 |\n| U-Net+CC | 0.44 | 0.36 |\n| SiameseU-Net+CC | 0.51 | 0.50 |","| SiameseU-Net+Augm1 | 0.61 | 0.49 |\n| --- | --- | --- |\n| SiameseU-Net+Augm2 | 0.69 | 0.54 |",1]
["| Architecture | Catheter | Vessels |\n| --- | --- | --- |\n| U-Net | 0.49 | 0.30 |\n| U-Net+CC | 0.44 | 0.36 |\n| SiameseU-Net+CC | 0.51 | 0.50 |","| Architecture | Dice |\n| --- | --- |\n| Blacktop-hat+CC | 0.77 |\n| Blacktop-hat | 0.85 |\n| U-Net | 0.92 |\n| U-Net+CC | 0.89 |\n| SiameseU-Net | 0.95 |\n| SiameseU-Net+CC | 0.98 |",0]
["| Architecture | Catheter | Vessels |\n| --- | --- | --- |\n| U-Net | 0.49 | 0.30 |\n| U-Net+CC | 0.44 | 0.36 |\n| SiameseU-Net+CC | 0.51 | 0.50 |","| SiameseU-Net+Augm1 | 0.61 | 0.49 |\n| --- | --- | --- |\n| SiameseU-Net+Augm2 | 0.69 | 0.54 |",1]
["| Architecture | Catheter | Vessels |\n| --- | --- | --- |\n| U-Net | 0.49 | 0.30 |\n| U-Net+CC | 0.44 | 0.36 |\n| SiameseU-Net+CC | 0.51 | 0.50 |","| SiameseU-Net | 0.95 |\n| --- | --- |\n| SiameseU-Net+CC | 0.98 |",0]
["| NumberobjectsCustomer<br>Kryodatasize | 2.4M<br>41.5GB | 4.8M<br>83.1GB | 9.6M<br>167.2GB | 14.4M<br>251.1GB | 19.2M<br>333.2 | 24M<br>416.2GB |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | sperCustomerSupplier |  |  |  |  |  |\n| PlinyCompute:hotstorage<br>Spark:hotHDFS<br>Spark:in-RAMdeserializedRDD | 00:11<br>01:04<br>00:16 | 00:19<br>01:53<br>00:29 | 00:35<br>03:24<br>00:56 | 00:51<br>04:54<br>01:21 | 01:08<br>06:25<br>02:18 | 01:21<br>08:16<br>03:56 |","|  | top-kJaccard |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PlinyCompute:hotstorage<br>Spark:hotHDFS<br>Spark:in-RAMdeserializedRDD | 00:03<br>00:56<br>00:08 | 00:03<br>01:38<br>00:12 | 00:04<br>03:01<br>00:21 | 00:05<br>04:01<br>00:32 | 00:05<br>05:22<br>01:11 | 00:06<br>06:34<br>02:38 |",1]
["| NumberobjectsCustomer<br>Kryodatasize | 2.4M<br>41.5GB | 4.8M<br>83.1GB | 9.6M<br>167.2GB | 14.4M<br>251.1GB | 19.2M<br>333.2 | 24M<br>416.2GB |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | sperCustomerSupplier |  |  |  |  |  |\n| PlinyCompute:hotstorage<br>Spark:hotHDFS<br>Spark:in-RAMdeserializedRDD | 00:11<br>01:04<br>00:16 | 00:19<br>01:53<br>00:29 | 00:35<br>03:24<br>00:56 | 00:51<br>04:54<br>01:21 | 01:08<br>06:25<br>02:18 | 01:21<br>08:16<br>03:56 |","| Algorithm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| SUSY | HIGGS | HEPMASS | RLCPS | PokerHand |  |\n| ScalablePANFISMerging | 1349 | 5671 | 5280 | 630 | 218 |\n| ScalablePANFISVoting |  |  |  |  |  |\n| ScalablePANFISwithALMerging | 691 | 2852 | 2650 | 364 | 119 |\n| ScalablePANFISwithALVoting |  |  |  |  |  |\n| Spark.KMeans | 290 | 1113 | 873 | 256 | 437 |\n| Spark.GLM | 457 | 2928 | 2092 | 606 | 967 |\n| Spark.GBT | 664 | 3401 | 3167 | 852 | 1308 |\n| Spark.RF | 259 | 1713 | 1239 | 262 | 548 |",0]
["| NumberobjectsCustomer<br>Kryodatasize | 2.4M<br>41.5GB | 4.8M<br>83.1GB | 9.6M<br>167.2GB | 14.4M<br>251.1GB | 19.2M<br>333.2 | 24M<br>416.2GB |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | sperCustomerSupplier |  |  |  |  |  |\n| PlinyCompute:hotstorage<br>Spark:hotHDFS<br>Spark:in-RAMdeserializedRDD | 00:11<br>01:04<br>00:16 | 00:19<br>01:53<br>00:29 | 00:35<br>03:24<br>00:56 | 00:51<br>04:54<br>01:21 | 01:08<br>06:25<br>02:18 | 01:21<br>08:16<br>03:56 |","|  | top-kJaccard |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PlinyCompute:hotstorage<br>Spark:hotHDFS<br>Spark:in-RAMdeserializedRDD | 00:03<br>00:56<br>00:08 | 00:03<br>01:38<br>00:12 | 00:04<br>03:01<br>00:21 | 00:05<br>04:01<br>00:32 | 00:05<br>05:22<br>01:11 | 00:06<br>06:34<br>02:38 |",1]
["| NumberobjectsCustomer<br>Kryodatasize | 2.4M<br>41.5GB | 4.8M<br>83.1GB | 9.6M<br>167.2GB | 14.4M<br>251.1GB | 19.2M<br>333.2 | 24M<br>416.2GB |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | sperCustomerSupplier |  |  |  |  |  |\n| PlinyCompute:hotstorage<br>Spark:hotHDFS<br>Spark:in-RAMdeserializedRDD | 00:11<br>01:04<br>00:16 | 00:19<br>01:53<br>00:29 | 00:35<br>03:24<br>00:56 | 00:51<br>04:54<br>01:21 | 01:08<br>06:25<br>02:18 | 01:21<br>08:16<br>03:56 |","| Spark.GBT | 664 | 3401 | 3167 | 852 | 1308 |\n| --- | --- | --- | --- | --- | --- |\n| Spark.RF | 259 | 1713 | 1239 | 262 | 548 |",0]
["| k | OurResults | Makinoetal. | Moser&Scheder | Dantsinetal. | PPSZ(randomized) |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1.32793 | 1.3303 | 1.33334 | 1.5 | 1.30704 |","| 4 | 1.49857 | - | 1.50001 | 1.6 | 1.46895 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 1.59946 | - | 1.60001 | 1.66667 | 1.56943 |\n| 6 | 1.66646 | - | 1.66667 | 1.71429 | 1.63788 |",1]
["| k | OurResults | Makinoetal. | Moser&Scheder | Dantsinetal. | PPSZ(randomized) |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1.32793 | 1.3303 | 1.33334 | 1.5 | 1.30704 |","| K1 | k2 | k3 | k4 |\n| --- | --- | --- | --- |\n| 0.6 | 1.2 | 0.1 | 0.001 |\n| 0.864 | 0.981 | 0.005 | 0.016 |\n| 0.108 | 0.735 | 0.016 | 0.013 |\n| 0.263 | 0.299 | 0 | 0 |\n| 1.207 | 1.909 | 0.008 | 0.014 |\n| 0.648 | 1.64 | 0.027 | 0.016 |\n| 0.047 | 0.325 | 0.084 | 0 |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",0]
["| k | OurResults | Makinoetal. | Moser&Scheder | Dantsinetal. | PPSZ(randomized) |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1.32793 | 1.3303 | 1.33334 | 1.5 | 1.30704 |","| 4 | 1.49857 | - | 1.50001 | 1.6 | 1.46895 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 1.59946 | - | 1.60001 | 1.66667 | 1.56943 |\n| 6 | 1.66646 | - | 1.66667 | 1.71429 | 1.63788 |",1]
["| k | OurResults | Makinoetal. | Moser&Scheder | Dantsinetal. | PPSZ(randomized) |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1.32793 | 1.3303 | 1.33334 | 1.5 | 1.30704 |","| 0.648 | 1.64 | 0.027 | 0.016 |\n| --- | --- | --- | --- |\n| 0.047 | 0.325 | 0.084 | 0 |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",0]
["| Element | Abbreviation |\n| --- | --- |\n| Consumerids | consumer |\n| IntendedPurpose | ip |\n| Allowedintendedpurposesofip | ip.Aip |\n| Prohibitedintendedpurposesofip | ip.Exc |","| Jointaccessconstraint | jac |\n| --- | --- |\n| Alloweddatacategoriesforjac | jac.Adc |\n| Prohibiteddatacategoriesforjac | jac.Exc |\n| Intendedpurposesforjac | jac.ip |\n| Categoryderivationconstraint | cdc |",1]
["| Element | Abbreviation |\n| --- | --- |\n| Consumerids | consumer |\n| IntendedPurpose | ip |\n| Allowedintendedpurposesofip | ip.Aip |\n| Prohibitedintendedpurposesofip | ip.Exc |","| NB | Na¨ıveBayesModel |\n| --- | --- |\n| KLD | SymmetricalKullback-LeiblerDivergenceModel |\n| R | TokenType:rating,unigramordigram |\n| LR | LinkabilityRatio |\n| AR | AnonymousRecord |\n| IR | IdentiﬁedRecord(correspondingtoacertainreviewer) |\n| SymD(IR,AR)KLD | symmetricKLDdistancebetweenIRandAR |\n| SymD | symmetricKLDofratingtokens |\n| SymD | symmetricKLDofcategorytokens |\n| SymD | symmetricKLDoflexical(unigramordigram)tokens |\n| SymD | symmetricKLDofratingandcategorytokens |\n| SymD | symmetricKLDoflexical,ratingandcategorytokens |",0]
["| Element | Abbreviation |\n| --- | --- |\n| Consumerids | consumer |\n| IntendedPurpose | ip |","| Allowedintendedpurposesofip | ip.Aip |\n| --- | --- |\n| Prohibitedintendedpurposesofip | ip.Exc |\n| Jointaccessconstraint | jac |\n| Alloweddatacategoriesforjac | jac.Adc |\n| Prohibiteddatacategoriesforjac | jac.Exc |\n| Intendedpurposesforjac | jac.ip |\n| Categoryderivationconstraint | cdc |",1]
["| Element | Abbreviation |\n| --- | --- |\n| Consumerids | consumer |\n| IntendedPurpose | ip |","| SymD | symmetricKLDofcategorytokens |\n| --- | --- |\n| SymD | symmetricKLDoflexical(unigramordigram)tokens |\n| SymD | symmetricKLDofratingandcategorytokens |\n| SymD | symmetricKLDoflexical,ratingandcategorytokens |",0]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |","| 62.33 | 66.15 |\n| --- | --- |\n| 66.64 | 68.75 |\n| 68.08 | 68.26 |",1]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |","| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 66.64 | 68.75 |\n| 65.24 | 69.44 |\n| 63.73 | 68.81 |\n| 68.65 | 69.48 |\n| 69.30 | 70.53 |\n| 85.10 | 74.17 |",0]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 62.33 | 66.15 |","| 66.64 | 68.75 |\n| --- | --- |\n| 68.08 | 68.26 |",1]
["| ImageNet | PASCAL |\n| --- | --- |\n| 59.21 | 66.75 |\n| 62.33 | 66.15 |","| 68.65 | 69.48 |\n| --- | --- |\n| 69.30 | 70.53 |\n| 85.10 | 74.17 |",0]
["| DayofWeek | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| Sunday | 17768 | 2.11 | 32.34 | 15.84 | 2,652.07 |\n| Monday | 28476 | 2.42 | 34.20 | 9.66 | 1,026.79 |\n| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |\n| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |","| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |\n| --- | --- | --- | --- | --- | --- |\n| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |\n| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 |",1]
["| DayofWeek | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| Sunday | 17768 | 2.11 | 32.34 | 15.84 | 2,652.07 |\n| Monday | 28476 | 2.42 | 34.20 | 9.66 | 1,026.79 |\n| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |\n| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |","| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 |\n| 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 |\n| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 |\n| Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |",0]
["| DayofWeek | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| Sunday | 17768 | 2.11 | 32.34 | 15.84 | 2,652.07 |\n| Monday | 28476 | 2.42 | 34.20 | 9.66 | 1,026.79 |\n| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |\n| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |","| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |\n| --- | --- | --- | --- | --- | --- |\n| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |\n| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 |",1]
["| DayofWeek | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| Sunday | 17768 | 2.11 | 32.34 | 15.84 | 2,652.07 |\n| Monday | 28476 | 2.42 | 34.20 | 9.66 | 1,026.79 |\n| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |\n| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |","| 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 |\n| Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |",0]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 20,722 | 20,871 | 12.3 |\n| <Clex | 20,722 | 20,871 | 12.4 |\n| <Rlex | 20,722 | 20,871 | 12.5 |\n| <RClex | 20,722 | 20,871 | 12.4 |","| ≤Cm | 7,053 | 7,202 | 4.6 |\n| --- | --- | --- | --- |\n| ≤Rm | - | - | - |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | - | - | - |\n| ≤C<Rmlex | 7,053 | 7,202 | 4.6 |",1]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 20,722 | 20,871 | 12.3 |\n| <Clex | 20,722 | 20,871 | 12.4 |\n| <Rlex | 20,722 | 20,871 | 12.5 |\n| <RClex | 20,722 | 20,871 | 12.4 |","|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 180,738 | 180,860 | 75.9 |\n| <Clex | 180,738 | 180,860 | 81.5 |\n| <Rlex | 2,720 | 2,842 | 2.7 |\n| <RClex | 2,720 | 2,842 | 2.7 |\n| ≤Cm | 137,185 | 137,306 | 71.2 |\n| ≤Rm | 10,853 | 10,977 | 8.6 |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | 10,853 | 10,977 | 8.6 |\n| ≤C<Rmlex | 2,016 | 2,137 | 2.6 |",0]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 20,722 | 20,871 | 12.3 |","| <Clex | 20,722 | 20,871 | 12.4 |\n| --- | --- | --- | --- |\n| <Rlex | 20,722 | 20,871 | 12.5 |\n| <RClex | 20,722 | 20,871 | 12.4 |\n| ≤Cm | 7,053 | 7,202 | 4.6 |\n| ≤Rm | - | - | - |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | - | - | - |\n| ≤C<Rmlex | 7,053 | 7,202 | 4.6 |",1]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 20,722 | 20,871 | 12.3 |","| <Rlex | 2,720 | 2,842 | 2.7 |\n| --- | --- | --- | --- |\n| <RClex | 2,720 | 2,842 | 2.7 |\n| ≤Cm | 137,185 | 137,306 | 71.2 |\n| ≤Rm | 10,853 | 10,977 | 8.6 |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | 10,853 | 10,977 | 8.6 |\n| ≤C<Rmlex | 2,016 | 2,137 | 2.6 |",0]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 66.7<br>64.6<br>68.1 |\n| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 63.1<br>67.6 |","| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 74.7<br>80.2 |\n| --- | --- |\n| OurTwo-stageHierarchicalModel | 81.9 |",1]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 66.7<br>64.6<br>68.1 |\n| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 63.1<br>67.6 |","| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |\n| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>64.0 |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| Two-stageHierarchicalModel | 81.5 |",0]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 66.7<br>64.6<br>68.1 |","| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 63.1<br>67.6 |\n| --- | --- |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 74.7<br>80.2 |\n| OurTwo-stageHierarchicalModel | 81.9 |",1]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 66.7<br>64.6<br>68.1 |","| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| --- | --- |\n| Two-stageHierarchicalModel | 81.5 |",0]
["| Type | Range |\n| --- | --- |\n| M | 1,2,3,5,7,9,11,13,15,17,19,21 |","| β | 0.01,0.02,0.05,0.1,0.2,0.5,1,2,5,10,20,50,100 |\n| --- | --- |\n| λ | 1×10,2×10,5×10,1×10,2×10,<br>−3<br>5×10,0.01,0.02,0.05,0.1,0.2,0.5,1 |\n| b | −10,−5,−2,−1,1×10,1,2,5,10,20,50,100 |",1]
["| Type | Range |\n| --- | --- |\n| M | 1,2,3,5,7,9,11,13,15,17,19,21 |","| Parameter | Values |\n| --- | --- |\n| k | 5,25,50,75,100 |\n| β | 0.1,0.2,0.3,0.4,0.5 |\n| N | 100K,250K,500K,750K,1,000K |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",0]
["| Type | Range |\n| --- | --- |\n| M | 1,2,3,5,7,9,11,13,15,17,19,21 |\n| β | 0.01,0.02,0.05,0.1,0.2,0.5,1,2,5,10,20,50,100 |","| λ | 1×10,2×10,5×10,1×10,2×10,<br>−3<br>5×10,0.01,0.02,0.05,0.1,0.2,0.5,1 |\n| --- | --- |\n| b | −10,−5,−2,−1,1×10,1,2,5,10,20,50,100 |",1]
["| Type | Range |\n| --- | --- |\n| M | 1,2,3,5,7,9,11,13,15,17,19,21 |\n| β | 0.01,0.02,0.05,0.1,0.2,0.5,1,2,5,10,20,50,100 |","| β | 0.1,0.2,0.3,0.4,0.5 |\n| --- | --- |\n| N | 100K,250K,500K,750K,1,000K |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",0]
["| Instance | Timeinseconds<br>HDA*TDSRatio | Statesexpanded×10<br>HDA*TDSRatio |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Average | 48.46 | 267.83 | 5.53 | 69.53 | 439.52 | 6.32 |\n| Depot10 | 5.60 | 18.23 | 3.26 | 5.27 | 14.72 | 2.79 |\n| Depot13 | 75.09 | 177.28 | 2.36 | 63.93 | 143.74 | 2.25 |\n| Driverlog8 | 4.41 | 9.25 | 2.10 | 5.75 | 8.83 | 1.54 |\n| Freecell5 | 5.99 | 27.75 | 4.63 | 7.21 | 34.15 | 4.74 |\n| Freecell7 | 75.27 | 354.63 | 4.71 | 92.88 | 457.95 | 4.93 |\n| Rover12 | 40.27 | 82.65 | 2.05 | 38.48 | 66.90 | 1.74 |\n| Satellite6 | 7.34 | 16.06 | 2.19 | 3.91 | 7.98 | 2.04 |\n| ZenoTrav9 | 7.26 | 13.69 | 1.89 | 7.79 | 10.45 | 1.34 |\n| ZenoTrav11 | 19.33 | 39.61 | 2.05 | 14.63 | 24.94 | 1.71 |\n| PipesNoTk14 | 7.86 | 26.47 | 3.37 | 21.30 | 67.81 | 3.18 |\n| PipesNoTk24 | 38.67 | 104.33 | 2.70 | 72.83 | 184.84 | 2.54 |\n| Pegsol27 | 7.43 | 30.26 | 4.07 | 26.29 | 115.75 | 4.40 |\n| Pegsol28 | 29.45 | 224.51 | 7.62 | 111.60 | 1029.17 | 9.22 |\n| Airport17 | 15.99 | 454.44 | 28.42 | 8.02 | 244.30 | 30.48 |\n| Gripper8 | 14.97 | 466.78 | 31.18 | 50.81 | 1687.10 | 33.20 |\n| Mystery6 | 11.91 | 168.96 | 14.19 | 5.81 | 60.14 | 10.36 |\n| Truck5 | 22.46 | 136.39 | 6.07 | 20.67 | 105.53 | 5.11 |\n| Truck8 | 116.22 | 731.43 | 6.29 | 107.18 | 523.18 | 4.88 |\n| Sokoban19 | 9.72 | 631.43 | 64.96 | 32.45 | 2525.67 | 77.84 |\n| Blocks10-2 | 12.64 | 54.12 | 4.28 | 40.61 | 161.63 | 3.98 |\n| Blocks11-1 | 194.57 | 624.34 | 3.21 | 546.31 | 1750.10 | 3.20 |\n| Blocks12-1 | n/a | 837.77 | n/a | n/a | 1723.94 | n/a |\n| Logistics00-7-1 | 53.37 | 370.47 | 6.94 | 107.54 | 671.17 | 6.24 |","| Logistics00-9-1 | 86.91 | 315.03 | 3.62 | 149.80 | 523.57 | 3.50 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Miconic12-2 | 159.48 | 612.86 | 3.84 | 126.19 | 472.39 | 3.74 |\n| Miconic12-4 | 169.49 | 605.57 | 3.57 | 132.55 | 466.97 | 3.52 |\n| Mprime30 | 68.28 | 667.08 | 9.77 | 8.03 | 68.53 | 8.53 |\n| SolvedonlybyHDA*:Logistics00-8-1,Sokoban22,Sokoban26,Truck6,<br>Gripper9,Freecell6,Rover6,Satellite7.TimingdataavailableinTable??. |  |  |  |  |  |  |",1]
["| Instance | Timeinseconds<br>HDA*TDSRatio | Statesexpanded×10<br>HDA*TDSRatio |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Average | 48.46 | 267.83 | 5.53 | 69.53 | 439.52 | 6.32 |\n| Depot10 | 5.60 | 18.23 | 3.26 | 5.27 | 14.72 | 2.79 |\n| Depot13 | 75.09 | 177.28 | 2.36 | 63.93 | 143.74 | 2.25 |\n| Driverlog8 | 4.41 | 9.25 | 2.10 | 5.75 | 8.83 | 1.54 |\n| Freecell5 | 5.99 | 27.75 | 4.63 | 7.21 | 34.15 | 4.74 |\n| Freecell7 | 75.27 | 354.63 | 4.71 | 92.88 | 457.95 | 4.93 |\n| Rover12 | 40.27 | 82.65 | 2.05 | 38.48 | 66.90 | 1.74 |\n| Satellite6 | 7.34 | 16.06 | 2.19 | 3.91 | 7.98 | 2.04 |\n| ZenoTrav9 | 7.26 | 13.69 | 1.89 | 7.79 | 10.45 | 1.34 |\n| ZenoTrav11 | 19.33 | 39.61 | 2.05 | 14.63 | 24.94 | 1.71 |\n| PipesNoTk14 | 7.86 | 26.47 | 3.37 | 21.30 | 67.81 | 3.18 |\n| PipesNoTk24 | 38.67 | 104.33 | 2.70 | 72.83 | 184.84 | 2.54 |\n| Pegsol27 | 7.43 | 30.26 | 4.07 | 26.29 | 115.75 | 4.40 |\n| Pegsol28 | 29.45 | 224.51 | 7.62 | 111.60 | 1029.17 | 9.22 |\n| Airport17 | 15.99 | 454.44 | 28.42 | 8.02 | 244.30 | 30.48 |\n| Gripper8 | 14.97 | 466.78 | 31.18 | 50.81 | 1687.10 | 33.20 |\n| Mystery6 | 11.91 | 168.96 | 14.19 | 5.81 | 60.14 | 10.36 |\n| Truck5 | 22.46 | 136.39 | 6.07 | 20.67 | 105.53 | 5.11 |\n| Truck8 | 116.22 | 731.43 | 6.29 | 107.18 | 523.18 | 4.88 |\n| Sokoban19 | 9.72 | 631.43 | 64.96 | 32.45 | 2525.67 | 77.84 |\n| Blocks10-2 | 12.64 | 54.12 | 4.28 | 40.61 | 161.63 | 3.98 |\n| Blocks11-1 | 194.57 | 624.34 | 3.21 | 546.31 | 1750.10 | 3.20 |\n| Blocks12-1 | n/a | 837.77 | n/a | n/a | 1723.94 | n/a |\n| Logistics00-7-1 | 53.37 | 370.47 | 6.94 | 107.54 | 671.17 | 6.24 |","| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| Instance | Timeinseconds<br>HDA*TDSRatio | Statesexpanded×10<br>HDA*TDSRatio |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Average | 48.46 | 267.83 | 5.53 | 69.53 | 439.52 | 6.32 |\n| Depot10 | 5.60 | 18.23 | 3.26 | 5.27 | 14.72 | 2.79 |\n| Depot13 | 75.09 | 177.28 | 2.36 | 63.93 | 143.74 | 2.25 |\n| Driverlog8 | 4.41 | 9.25 | 2.10 | 5.75 | 8.83 | 1.54 |\n| Freecell5 | 5.99 | 27.75 | 4.63 | 7.21 | 34.15 | 4.74 |","| Freecell7 | 75.27 | 354.63 | 4.71 | 92.88 | 457.95 | 4.93 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rover12 | 40.27 | 82.65 | 2.05 | 38.48 | 66.90 | 1.74 |\n| Satellite6 | 7.34 | 16.06 | 2.19 | 3.91 | 7.98 | 2.04 |\n| ZenoTrav9 | 7.26 | 13.69 | 1.89 | 7.79 | 10.45 | 1.34 |\n| ZenoTrav11 | 19.33 | 39.61 | 2.05 | 14.63 | 24.94 | 1.71 |\n| PipesNoTk14 | 7.86 | 26.47 | 3.37 | 21.30 | 67.81 | 3.18 |\n| PipesNoTk24 | 38.67 | 104.33 | 2.70 | 72.83 | 184.84 | 2.54 |\n| Pegsol27 | 7.43 | 30.26 | 4.07 | 26.29 | 115.75 | 4.40 |\n| Pegsol28 | 29.45 | 224.51 | 7.62 | 111.60 | 1029.17 | 9.22 |\n| Airport17 | 15.99 | 454.44 | 28.42 | 8.02 | 244.30 | 30.48 |\n| Gripper8 | 14.97 | 466.78 | 31.18 | 50.81 | 1687.10 | 33.20 |\n| Mystery6 | 11.91 | 168.96 | 14.19 | 5.81 | 60.14 | 10.36 |\n| Truck5 | 22.46 | 136.39 | 6.07 | 20.67 | 105.53 | 5.11 |\n| Truck8 | 116.22 | 731.43 | 6.29 | 107.18 | 523.18 | 4.88 |\n| Sokoban19 | 9.72 | 631.43 | 64.96 | 32.45 | 2525.67 | 77.84 |\n| Blocks10-2 | 12.64 | 54.12 | 4.28 | 40.61 | 161.63 | 3.98 |\n| Blocks11-1 | 194.57 | 624.34 | 3.21 | 546.31 | 1750.10 | 3.20 |\n| Blocks12-1 | n/a | 837.77 | n/a | n/a | 1723.94 | n/a |\n| Logistics00-7-1 | 53.37 | 370.47 | 6.94 | 107.54 | 671.17 | 6.24 |\n| Logistics00-9-1 | 86.91 | 315.03 | 3.62 | 149.80 | 523.57 | 3.50 |\n| Miconic12-2 | 159.48 | 612.86 | 3.84 | 126.19 | 472.39 | 3.74 |\n| Miconic12-4 | 169.49 | 605.57 | 3.57 | 132.55 | 466.97 | 3.52 |\n| Mprime30 | 68.28 | 667.08 | 9.77 | 8.03 | 68.53 | 8.53 |\n| SolvedonlybyHDA*:Logistics00-8-1,Sokoban22,Sokoban26,Truck6,<br>Gripper9,Freecell6,Rover6,Satellite7.TimingdataavailableinTable??. |  |  |  |  |  |  |",1]
["| Instance | Timeinseconds<br>HDA*TDSRatio | Statesexpanded×10<br>HDA*TDSRatio |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Average | 48.46 | 267.83 | 5.53 | 69.53 | 439.52 | 6.32 |\n| Depot10 | 5.60 | 18.23 | 3.26 | 5.27 | 14.72 | 2.79 |\n| Depot13 | 75.09 | 177.28 | 2.36 | 63.93 | 143.74 | 2.25 |\n| Driverlog8 | 4.41 | 9.25 | 2.10 | 5.75 | 8.83 | 1.54 |\n| Freecell5 | 5.99 | 27.75 | 4.63 | 7.21 | 34.15 | 4.74 |","| 36 | 666 | 445.4 | 0.67 |\n| --- | --- | --- | --- |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| WordEmbeddingModel | Classiﬁcationaccuracyontestingdataset |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| N=12,920 | N=2,295 | N=2,186 | N=308 |  |  |  |  |  |\n| RF | SVM | RF | SVM | RF | SVM | RF | SVM |  |\n| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |","| GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |\n| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |\n| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |\n| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |\n| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",1]
["| WordEmbeddingModel | Classiﬁcationaccuracyontestingdataset |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| N=12,920 | N=2,295 | N=2,186 | N=308 |  |  |  |  |  |\n| RF | SVM | RF | SVM | RF | SVM | RF | SVM |  |\n| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |","| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 |\n|  | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 |\n|  | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |\n|  | 100 | 1193K | Twitter(27B) | 97.02 | 93.01 | 87.33 |\n| BLSTMWE(10m) | 100 | 100K | USnews(10M) | 96.61 | 91.91 | 84.66 |\n| BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 |\n| BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 |\n| BLSTMWE(all)+ | 100 | 113K | USnews(536M) | 97.26 | 94.59 | 89.64 |\n| RANDOM | 100 | 100K | N/A | 96.61 | 91.71 | 82.52 |",0]
["| WordEmbeddingModel | Classiﬁcationaccuracyontestingdataset |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N=12,920 | N=2,295 | N=2,186 | N=308 |  |  |  |  |\n| RF | SVM | RF | SVM | RF | SVM | RF | SVM |","| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 |\n| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |\n| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |\n| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |\n| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |\n| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",1]
["| WordEmbeddingModel | Classiﬁcationaccuracyontestingdataset |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N=12,920 | N=2,295 | N=2,186 | N=308 |  |  |  |  |\n| RF | SVM | RF | SVM | RF | SVM | RF | SVM |","| BLSTMWE(10m) | 100 | 100K | USnews(10M) | 96.61 | 91.91 | 84.66 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 |\n| BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 |\n| BLSTMWE(all)+ | 100 | 113K | USnews(536M) | 97.26 | 94.59 | 89.64 |\n| RANDOM | 100 | 100K | N/A | 96.61 | 91.71 | 82.52 |",0]
["| LayerTypeLayerSize | ParameterSGD |\n| --- | --- |\n| Conv+ReLU3x3x32 | LearningRate0.1 |\n| Conv+ReLU3x3x32 | Momentum0.9 |\n| MaxPooling2x2 | DelayRate- |\n| Conv+ReLU3x3x64 | Dropout0.5 |\n| Conv+ReLU3x3x64 | BatchSize128 |\n| MaxPooling2x2 | Epochs50 |\n| Dense+ReLU200 |  |","| Dense+ReLU200 |  |\n| --- | --- |\n| Softmax+ReLU10 |  |",1]
["| LayerTypeLayerSize | ParameterSGD |\n| --- | --- |\n| Conv+ReLU3x3x32 | LearningRate0.1 |\n| Conv+ReLU3x3x32 | Momentum0.9 |\n| MaxPooling2x2 | DelayRate- |\n| Conv+ReLU3x3x64 | Dropout0.5 |\n| Conv+ReLU3x3x64 | BatchSize128 |\n| MaxPooling2x2 | Epochs50 |\n| Dense+ReLU200 |  |","| Stage | LayerType | Size |\n| --- | --- | --- |\n| ConvolutionStage1 | Conv | 32(5x5) |\n| Pooling | 2x2 |  |\n| ConvolutionStage2 | Conv | 256(5x5) |\n| Pooling | 2x2 |  |\n| FullyConnected | ReLU | 256 |\n| FeatureRepresentation | ReLU/Linear | 8 |\n| Output | Softmax | 10 |",0]
["| LayerTypeLayerSize | ParameterSGD |\n| --- | --- |\n| Conv+ReLU3x3x32 | LearningRate0.1 |\n| Conv+ReLU3x3x32 | Momentum0.9 |\n| MaxPooling2x2 | DelayRate- |","| Conv+ReLU3x3x64 | Dropout0.5 |\n| --- | --- |\n| Conv+ReLU3x3x64 | BatchSize128 |\n| MaxPooling2x2 | Epochs50 |\n| Dense+ReLU200 |  |\n| Dense+ReLU200 |  |\n| Softmax+ReLU10 |  |",1]
["| LayerTypeLayerSize | ParameterSGD |\n| --- | --- |\n| Conv+ReLU3x3x32 | LearningRate0.1 |\n| Conv+ReLU3x3x32 | Momentum0.9 |\n| MaxPooling2x2 | DelayRate- |","| Pooling | 2x2 |  |\n| --- | --- | --- |\n| FullyConnected | ReLU | 256 |\n| FeatureRepresentation | ReLU/Linear | 8 |\n| Output | Softmax | 10 |",0]
["|  | Word | g(W)1i | g(W)2i | EGC | Rec(W)i |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Okonomiyaki | 0.5563 | 0.0070 | 1.1912 | 1.3115 |\n| 2 | FriedOystersLunch | 0.2937 | 7.3239E-5 | 1.0488 | 1.0892 |\n| 3 | Conger | 0.2547 | 7.6289E-5 | 1.0488 | 1.0793 |","| 4 | Oyster | 0.5022 | 0.0022 | 0.9273 | 1.0546 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | LocalSake | 0.3622 | 7.5449E-5 | 0.9273 | 0.9956 |",1]
["|  | Word | g(W)1i | g(W)2i | EGC | Rec(W)i |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Okonomiyaki | 0.5563 | 0.0070 | 1.1912 | 1.3115 |\n| 2 | FriedOystersLunch | 0.2937 | 7.3239E-5 | 1.0488 | 1.0892 |\n| 3 | Conger | 0.2547 | 7.6289E-5 | 1.0488 | 1.0793 |","| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",0]
["|  | Word | g(W)1i | g(W)2i | EGC | Rec(W)i |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Okonomiyaki | 0.5563 | 0.0070 | 1.1912 | 1.3115 |\n| 2 | FriedOystersLunch | 0.2937 | 7.3239E-5 | 1.0488 | 1.0892 |\n| 3 | Conger | 0.2547 | 7.6289E-5 | 1.0488 | 1.0793 |","| 4 | Oyster | 0.5022 | 0.0022 | 0.9273 | 1.0546 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | LocalSake | 0.3622 | 7.5449E-5 | 0.9273 | 0.9956 |",1]
["|  | Word | g(W)1i | g(W)2i | EGC | Rec(W)i |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Okonomiyaki | 0.5563 | 0.0070 | 1.1912 | 1.3115 |\n| 2 | FriedOystersLunch | 0.2937 | 7.3239E-5 | 1.0488 | 1.0892 |\n| 3 | Conger | 0.2547 | 7.6289E-5 | 1.0488 | 1.0793 |","| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",0]
["| CIFAR-10 | Float | Binary | Ternary |\n| --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |","| VGG-11 | 91.93 | 88.70 | 89.28 | 90.48 | 91.01 |\n| --- | --- | --- | --- | --- | --- |\n| VGG-16 | 93.59 | 91.60 | 91.98 | 92.75 | 93.20 |\n| ResNet-20 | 92.68 | 87.44 | 87.82 | 88.65 | 90.07 |\n| ResNet-32 | 93.40 | 89.49 | 90.65 | 90.94 | 92.04 |\n| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",1]
["| CIFAR-10 | Float | Binary | Ternary |\n| --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |","| CIFAR-100 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 70.43 | 62.35 | 63.82 | 64.16 | 65.87 |\n| VGG-16 | 73.55 | 69.03 | 70.14 | 71.41 | 72.10 |\n| ResNet-56 | 70.86 | 66.73 | 67.65 | 68.26 | 69.83 |\n| ResNet-110 | 73.21 | 68.67 | 69.85 | 68.95 | 72.32 |\n| ResNet-18 | 76.32 | 72.31 | 74.04 | 73.15 | 75.24 |\n| ResNet-34 | 77.23 | 72.92 | 75.62 | 74.43 | 76.16 |",0]
["| CIFAR-10 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 91.93 | 88.70 | 89.28 | 90.48 | 91.01 |\n| VGG-16 | 93.59 | 91.60 | 91.98 | 92.75 | 93.20 |","| ResNet-20 | 92.68 | 87.44 | 87.82 | 88.65 | 90.07 |\n| --- | --- | --- | --- | --- | --- |\n| ResNet-32 | 93.40 | 89.49 | 90.65 | 90.94 | 92.04 |\n| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",1]
["| CIFAR-10 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 91.93 | 88.70 | 89.28 | 90.48 | 91.01 |\n| VGG-16 | 93.59 | 91.60 | 91.98 | 92.75 | 93.20 |","| ResNet-18 | 76.32 | 72.31 | 74.04 | 73.15 | 75.24 |\n| --- | --- | --- | --- | --- | --- |\n| ResNet-34 | 77.23 | 72.92 | 75.62 | 74.43 | 76.16 |",0]
["|  | X |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | -2 | -1 | 0 | 1 | 2 |\n| r=2 | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) |\n| r=3 | (65,224.68) | (71,223.1) | (58,225.72) | (59,222.71) | (71,219,97) |\n| r=4 | (71,223.69) | (68,223.5) | (67,223.75) | (76,229.3) | (75,232.54) |","| DU−2/DFtoanneal | (0,N/A) |\n| --- | --- |\n| r=2,X=0optimised | (78,217.12) |",1]
["|  | X |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | -2 | -1 | 0 | 1 | 2 |\n| r=2 | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) |\n| r=3 | (65,224.68) | (71,223.1) | (58,225.72) | (59,222.71) | (71,219,97) |\n| r=4 | (71,223.69) | (68,223.5) | (67,223.75) | (76,229.3) | (75,232.54) |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | -6 | -4 | -2 | 0 | 2 | 4 |\n| r=2 | (55,59.13) | (72,61.46) | (67,59.78) | (N/A,N/A) | (73,61.53) | (70,58.69) |\n| r=3 | (99,48.46) | (100,41.94) | (100,41.22) | (100,37.18) | (95,50.4) | (56,62.98) |\n| r=4 | (100,40.83) | (100,41.04) | (100,40.24) | (100,34.3) | (95,49.4) | (58,64.98) |\n| r=5 | (100,41.35) | (100,41.78) | (100,40.8) | (100,32.7) | (96,49.7) | (73,61.11) |\n| r=6 | (100,42.18) | (100,43.28) | (100,42.65) | (100,32.45) | (98,52.02) | (71,59.92) |\n| DDT(r=2,X=0)withspeed/powertradeoﬀ |  |  |  |  |  |  |\n| max\\|LAT\\|−2/NFusedtoanneali,jij |  |  |  |  |  |  |",0]
["|  | X |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | -2 | -1 | 0 | 1 | 2 |\n| r=2 | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) |\n| r=3 | (65,224.68) | (71,223.1) | (58,225.72) | (59,222.71) | (71,219,97) |","| r=4 | (71,223.69) | (68,223.5) | (67,223.75) | (76,229.3) | (75,232.54) |\n| --- | --- | --- | --- | --- | --- |\n| DU−2/DFtoanneal | (0,N/A) |  |  |  |  |\n| r=2,X=0optimised | (78,217.12) |  |  |  |  |",1]
["|  | X |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | -2 | -1 | 0 | 1 | 2 |\n| r=2 | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) | (59,224.44) |\n| r=3 | (65,224.68) | (71,223.1) | (58,225.72) | (59,222.71) | (71,219,97) |","| DDT(r=2,X=0)withspeed/powertradeoﬀ |\n| --- |\n| max\\|LAT\\|−2/NFusedtoanneali,jij |",0]
["|  | DiversityGroups |  |  |  |\n| --- | --- | --- | --- | --- |\n| Year | G1 | G2 | G3 | G4 |\n| 1985-90 | 0.30 | 0.37 | 0.29 | 0.03 |\n| 1990-95 | 0.27 | 0.39 | 0.29 | 0.05 |\n| 1995-00 | 0.23 | 0.38 | 0.32 | 0.06 |","| 2000-05 | 0.19 | 0.37 | 0.34 | 0.09 |\n| --- | --- | --- | --- | --- |\n| 2005-10 | 0.16 | 0.36 | 0.35 | 0.13 |",1]
["|  | DiversityGroups |  |  |  |\n| --- | --- | --- | --- | --- |\n| Year | G1 | G2 | G3 | G4 |\n| 1985-90 | 0.30 | 0.37 | 0.29 | 0.03 |\n| 1990-95 | 0.27 | 0.39 | 0.29 | 0.05 |\n| 1995-00 | 0.23 | 0.38 | 0.32 | 0.06 |","| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["|  | DiversityGroups |  |  |  |\n| --- | --- | --- | --- | --- |\n| Year | G1 | G2 | G3 | G4 |","| 1985-90 | 0.30 | 0.37 | 0.29 | 0.03 |\n| --- | --- | --- | --- | --- |\n| 1990-95 | 0.27 | 0.39 | 0.29 | 0.05 |\n| 1995-00 | 0.23 | 0.38 | 0.32 | 0.06 |\n| 2000-05 | 0.19 | 0.37 | 0.34 | 0.09 |\n| 2005-10 | 0.16 | 0.36 | 0.35 | 0.13 |",1]
["|  | DiversityGroups |  |  |  |\n| --- | --- | --- | --- | --- |\n| Year | G1 | G2 | G3 | G4 |","| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["| ProbeSet | Gallery |\n| --- | --- |\n| 7,745 | 100 |\n| 12,529 | 200 |","| 18,644 | 400 |\n| --- | --- |\n| 22,395 | 600 |\n| 24,555 | 800 |\n| 25,582 | 1,000 |\n| 26,078 | 1,200 |\n| 26,478 | 1,400 |",1]
["| ProbeSet | Gallery |\n| --- | --- |\n| 7,745 | 100 |\n| 12,529 | 200 |","| Images |\n| --- |\n| 400,000 |\n| 87,577 |\n| 121,450 |\n| 191,463 |\n| 403,398 |\n| 925,327 |",0]
["| ProbeSet | Gallery |\n| --- | --- |\n| 7,745 | 100 |\n| 12,529 | 200 |\n| 18,644 | 400 |\n| 22,395 | 600 |\n| 24,555 | 800 |\n| 25,582 | 1,000 |","| 26,078 | 1,200 |\n| --- | --- |\n| 26,478 | 1,400 |",1]
["| ProbeSet | Gallery |\n| --- | --- |\n| 7,745 | 100 |\n| 12,529 | 200 |\n| 18,644 | 400 |\n| 22,395 | 600 |\n| 24,555 | 800 |\n| 25,582 | 1,000 |","| 191,463 |\n| --- |\n| 403,398 |\n| 925,327 |",0]
["| Design | Area(mm) | #R | #C | #L | #Nodes |\n| --- | --- | --- | --- | --- | --- |\n| D1 | 0.35 | 23221 | 15193 | 15193 | 45.7K |","| D2 | 1.40 | 348582 | 228952 | 228952 | 688K |\n| --- | --- | --- | --- | --- | --- |\n| D3 | 2.80 | 1468863 | 965540 | 965540 | 2.90M |\n| D4 | 5.00 | 3748974 | 2467400 | 2464819 | 7.40M |",1]
["| Design | Area(mm) | #R | #C | #L | #Nodes |\n| --- | --- | --- | --- | --- | --- |\n| D1 | 0.35 | 23221 | 15193 | 15193 | 45.7K |","| Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Time(s) | Nodes | NodesinPath | Time(s) | Bound |  |  |  |\n| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |\n| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",0]
["| Design | Area(mm) | #R | #C | #L | #Nodes |\n| --- | --- | --- | --- | --- | --- |\n| D1 | 0.35 | 23221 | 15193 | 15193 | 45.7K |","| D2 | 1.40 | 348582 | 228952 | 228952 | 688K |\n| --- | --- | --- | --- | --- | --- |\n| D3 | 2.80 | 1468863 | 965540 | 965540 | 2.90M |\n| D4 | 5.00 | 3748974 | 2467400 | 2464819 | 7.40M |",1]
["| Design | Area(mm) | #R | #C | #L | #Nodes |\n| --- | --- | --- | --- | --- | --- |\n| D1 | 0.35 | 23221 | 15193 | 15193 | 45.7K |","| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",0]
["| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbchusbandab |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbcwifeba |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcsisterab |","| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcbrotherba |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatherabfatherbcgrandfatherac |\n| ∀∀∀(,)∧(,)⇒(,)abcsonabsonbcgrandsonac |\n| ∀∀∀(,)∧(,)⇒(,)abcmotherabmotherbcgrandmotherac |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughterabdaughterbcgranddaughterac |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcuncleda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcauntda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |\n| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae |",1]
["| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbchusbandab |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbcwifeba |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcsisterab |","| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |\n| --- | --- |\n| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |\n| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) |\n| Range | t(Y,rdf:type,C)←t(P,rdfs:range,C)∧t(S,P,Y) |\n| Transitivity | t(X,P,Z)←t(P,rdf:type,owl:TransitiveProperty)∧t(X,P,Y)∧t(Y,P,Z) |\n| Subsumption<br>ofexistential<br>formulae | t(C,rdfs:subClassOf,C)←t(C,owl:someValuesFrom,D)∧1211<br>t(C,owl:onProperty,P)∧t(C,owl:someValuesFrom,D)∧122<br>t(C,owl:onProperty,P)∧t(D,rdfs:subClassOf,D)212 |\n| Intersection | t(C,rdfs:subClassOf,D)←t(C,owl:intersectionOf,I)∧D∈I |\n| Disjointness | ⊥←t(C,owl:disjointWith,C)∧t(X,rdf:type,C)∧t(X,rdf:type,C)1212 |",0]
["| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbchusbandab |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbcwifeba |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcsisterab |","| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcbrotherba |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatherabfatherbcgrandfatherac |\n| ∀∀∀(,)∧(,)⇒(,)abcsonabsonbcgrandsonac |\n| ∀∀∀(,)∧(,)⇒(,)abcmotherabmotherbcgrandmotherac |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughterabdaughterbcgranddaughterac |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcuncleda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcauntda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |\n| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae |",1]
["| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbchusbandab |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbcwifeba |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcsisterab |","| Subsumption<br>ofexistential<br>formulae | t(C,rdfs:subClassOf,C)←t(C,owl:someValuesFrom,D)∧1211<br>t(C,owl:onProperty,P)∧t(C,owl:someValuesFrom,D)∧122<br>t(C,owl:onProperty,P)∧t(D,rdfs:subClassOf,D)212 |\n| --- | --- |\n| Intersection | t(C,rdfs:subClassOf,D)←t(C,owl:intersectionOf,I)∧D∈I |\n| Disjointness | ⊥←t(C,owl:disjointWith,C)∧t(X,rdf:type,C)∧t(X,rdf:type,C)1212 |",0]
["| Accent | Quantity |\n| --- | --- |\n| English | 33 |\n| American | 22 |\n| Scottish | 19 |","| Irish | 9 |\n| --- | --- |\n| Canadian | 8 |\n| NorthernIrish | 6 |\n| SouthAfrican | 4 |\n| Indian | 3 |\n| Australian | 2 |\n| Welsh | 1 |\n| NewZealand | 1 |\n| Unknown | 1 |",1]
["| Accent | Quantity |\n| --- | --- |\n| English | 33 |\n| American | 22 |\n| Scottish | 19 |","| subset | language | nativelanguage | gender | #segments | #speakers |\n| --- | --- | --- | --- | --- | --- |\n| 1 | english | english | F | 13934 | 774 |\n| 2 | english | english | M | 10379 | 504 |\n| 3 | english | nonenglish | F | 6087 | 784 |\n| 4 | english | nonenglish | M | 9326 | 517 |\n| 5 | nonenglish | all | F | 4576 | 663 |\n| 6 | nonenglish | all | M | 2868 | 413 |\n| additional | — | — | all | 2272 | — |",0]
["| Accent | Quantity |\n| --- | --- |\n| English | 33 |\n| American | 22 |\n| Scottish | 19 |\n| Irish | 9 |\n| Canadian | 8 |","| NorthernIrish | 6 |\n| --- | --- |\n| SouthAfrican | 4 |\n| Indian | 3 |\n| Australian | 2 |\n| Welsh | 1 |\n| NewZealand | 1 |\n| Unknown | 1 |",1]
["| Accent | Quantity |\n| --- | --- |\n| English | 33 |\n| American | 22 |\n| Scottish | 19 |\n| Irish | 9 |\n| Canadian | 8 |","| 2 | english | english | M | 10379 | 504 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | english | nonenglish | F | 6087 | 784 |\n| 4 | english | nonenglish | M | 9326 | 517 |\n| 5 | nonenglish | all | F | 4576 | 663 |\n| 6 | nonenglish | all | M | 2868 | 413 |\n| additional | — | — | all | 2272 | — |",0]
["| ImportanceMap | UserRatings | MAR | MSSD |\n| --- | --- | --- | --- |\n| Sobel | 1.3 | 0.8976 | 0.0406 |","| StructuredEdge | 1.9 | 0.9132 | 0.0402 |\n| --- | --- | --- | --- |\n| COV | 3.5 | 0.9581 | 0.0395 |\n| BMS | 3.2 | 0.9638 | 0.0395 |\n| HDCT | 5.4 | 0.9840 | 0.0387 |\n| DRFI | 5.7 | 0.9877 | 0.0389 |",1]
["| ImportanceMap | UserRatings | MAR | MSSD |\n| --- | --- | --- | --- |\n| Sobel | 1.3 | 0.8976 | 0.0406 |","|  | VoI | BDE | PRI | GTRC |\n| --- | --- | --- | --- | --- |\n| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |\n| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |\n| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |\n| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |\n| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |\n| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |\n| PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |\n| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 |",0]
["| ImportanceMap | UserRatings | MAR | MSSD |\n| --- | --- | --- | --- |\n| Sobel | 1.3 | 0.8976 | 0.0406 |\n| StructuredEdge | 1.9 | 0.9132 | 0.0402 |\n| COV | 3.5 | 0.9581 | 0.0395 |","| BMS | 3.2 | 0.9638 | 0.0395 |\n| --- | --- | --- | --- |\n| HDCT | 5.4 | 0.9840 | 0.0387 |\n| DRFI | 5.7 | 0.9877 | 0.0389 |",1]
["| ImportanceMap | UserRatings | MAR | MSSD |\n| --- | --- | --- | --- |\n| Sobel | 1.3 | 0.8976 | 0.0406 |\n| StructuredEdge | 1.9 | 0.9132 | 0.0402 |\n| COV | 3.5 | 0.9581 | 0.0395 |","| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |\n| --- | --- | --- | --- | --- |\n| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |\n| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |\n| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |\n| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |\n| PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |\n| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 |",0]
["| Platformsize | 8×8 |\n| --- | --- |\n| Linkwidth=ﬂitsize | 16B |\n| NoCfrequency | 2GHz |","| Routerdelay-dr | 3cycles(1.5ns) |\n| --- | --- |\n| Linkdelay-dl | 1cycle(0.5ns) |\n| Flowperiods | [1-10]ms |",1]
["| Platformsize | 8×8 |\n| --- | --- |\n| Linkwidth=ﬂitsize | 16B |\n| NoCfrequency | 2GHz |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Platformsize | 8×8 |\n| --- | --- |\n| Linkwidth=ﬂitsize | 16B |\n| NoCfrequency | 2GHz |","| Routerdelay-dr | 3cycles(1.5ns) |\n| --- | --- |\n| Linkdelay-dl | 1cycle(0.5ns) |\n| Flowperiods | [1-10]ms |",1]
["| Platformsize | 8×8 |\n| --- | --- |\n| Linkwidth=ﬂitsize | 16B |\n| NoCfrequency | 2GHz |","| Ta | 0.5msec | Simulationtime | 20sec |\n| --- | --- | --- | --- |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 5.39 | 17.98 | 6.13 | 9.20 | 8.22 | 5.52 | 12.31 | 7.52 | 6.79 |\n| Modiﬁed | d=5 | 9.16 | 11.00 | 10.36 | 11.80 | 9.85 | 10.37 | 16.49 | 8.90 | 10.86 |\n| Ayers | d=10 | 4.57 | 5.25 | 5.12 | 8.70 | 7.61 | 10.93 | 13.51 | 6.52 | 7.70 |\n| Modiﬁed | d=10 | 11.14 | 9.41 | 9.81 | 11.61 | 9.96 | 12.80 | 16.04 | 9.45 | 11.45 |","| Ayers | d=15 | 4.94 | 5.30 | 5.90 | 7.81 | 6.33 | 7.76 | 11.49 | 8.47 | 5.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Modiﬁed | d=15 | 9.00 | 10.60 | 11.51 | 12.04 | 10.31 | 10.49 | 14.16 | 10.72 | 10.99 |",1]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 5.39 | 17.98 | 6.13 | 9.20 | 8.22 | 5.52 | 12.31 | 7.52 | 6.79 |\n| Modiﬁed | d=5 | 9.16 | 11.00 | 10.36 | 11.80 | 9.85 | 10.37 | 16.49 | 8.90 | 10.86 |\n| Ayers | d=10 | 4.57 | 5.25 | 5.12 | 8.70 | 7.61 | 10.93 | 13.51 | 6.52 | 7.70 |\n| Modiﬁed | d=10 | 11.14 | 9.41 | 9.81 | 11.61 | 9.96 | 12.80 | 16.04 | 9.45 | 11.45 |","| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 |\n| Modiﬁed | d=5 | 17.24 | 12.61 | 11.79 | 12.08 | 12.82 | 10.36 | 18.81 | 12.36 | 9.38 |\n| Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 |\n| Modiﬁed | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 |\n| Ayers | d=15 | 10.52 | 13.85 | 12.71 | 14.85 | 13.49 | 15.64 | 18.38 | 9.01 | 7.20 |\n| Modiﬁed | d=15 | 20.96 | 11.70 | 16.14 | 12.99 | 20.76 | 19.80 | 21.23 | 15.08 | 11.42 |",0]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 5.39 | 17.98 | 6.13 | 9.20 | 8.22 | 5.52 | 12.31 | 7.52 | 6.79 |\n| Modiﬁed | d=5 | 9.16 | 11.00 | 10.36 | 11.80 | 9.85 | 10.37 | 16.49 | 8.90 | 10.86 |","| Ayers | d=10 | 4.57 | 5.25 | 5.12 | 8.70 | 7.61 | 10.93 | 13.51 | 6.52 | 7.70 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Modiﬁed | d=10 | 11.14 | 9.41 | 9.81 | 11.61 | 9.96 | 12.80 | 16.04 | 9.45 | 11.45 |\n| Ayers | d=15 | 4.94 | 5.30 | 5.90 | 7.81 | 6.33 | 7.76 | 11.49 | 8.47 | 5.56 |\n| Modiﬁed | d=15 | 9.00 | 10.60 | 11.51 | 12.04 | 10.31 | 10.49 | 14.16 | 10.72 | 10.99 |",1]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 5.39 | 17.98 | 6.13 | 9.20 | 8.22 | 5.52 | 12.31 | 7.52 | 6.79 |\n| Modiﬁed | d=5 | 9.16 | 11.00 | 10.36 | 11.80 | 9.85 | 10.37 | 16.49 | 8.90 | 10.86 |","| Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Modiﬁed | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 |\n| Ayers | d=15 | 10.52 | 13.85 | 12.71 | 14.85 | 13.49 | 15.64 | 18.38 | 9.01 | 7.20 |\n| Modiﬁed | d=15 | 20.96 | 11.70 | 16.14 | 12.99 | 20.76 | 19.80 | 21.23 | 15.08 | 11.42 |",0]
["| Errorrate | Layer | #decodable | ITU-Rmark |\n| --- | --- | --- | --- |\n| 3 | 0<br>1<br>2<br>4<br>5 | 27<br>62<br>26<br>135<br>293 | 1.31<br>6.25<br>1.89<br>6.81<br>6.25 |\n| 5 | 0<br>1<br>2<br>4<br>5 | 2<br>13<br>35<br>114<br>152 | 0.22<br>0.40<br>0.48<br>0.76<br>0.76 |","| 10 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>75<br>117 | —<br>—<br>—<br>2.85<br>2.87 |\n| --- | --- | --- | --- |\n| 20 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>123<br>48 | —<br>—<br>—<br>0.85<br>0.61 |",1]
["| Errorrate | Layer | #decodable | ITU-Rmark |\n| --- | --- | --- | --- |\n| 3 | 0<br>1<br>2<br>4<br>5 | 27<br>62<br>26<br>135<br>293 | 1.31<br>6.25<br>1.89<br>6.81<br>6.25 |\n| 5 | 0<br>1<br>2<br>4<br>5 | 2<br>13<br>35<br>114<br>152 | 0.22<br>0.40<br>0.48<br>0.76<br>0.76 |","| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| Errorrate | Layer | #decodable | ITU-Rmark |\n| --- | --- | --- | --- |\n| 3 | 0<br>1<br>2<br>4<br>5 | 27<br>62<br>26<br>135<br>293 | 1.31<br>6.25<br>1.89<br>6.81<br>6.25 |","| 5 | 0<br>1<br>2<br>4<br>5 | 2<br>13<br>35<br>114<br>152 | 0.22<br>0.40<br>0.48<br>0.76<br>0.76 |\n| --- | --- | --- | --- |\n| 10 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>75<br>117 | —<br>—<br>—<br>2.85<br>2.87 |\n| 20 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>123<br>48 | —<br>—<br>—<br>0.85<br>0.61 |",1]
["| Errorrate | Layer | #decodable | ITU-Rmark |\n| --- | --- | --- | --- |\n| 3 | 0<br>1<br>2<br>4<br>5 | 27<br>62<br>26<br>135<br>293 | 1.31<br>6.25<br>1.89<br>6.81<br>6.25 |","| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| FeatureSet | Description |\n| --- | --- |\n| Φ9 | Φ\\{FunctionTag}8 |\n| Φ10 | Φ\\{PredicateCluster}8 |","| Φ11 | Φ\\{HeadWord}8 |\n| --- | --- |\n| Φ12 | Φ\\{Path}8 |\n| Φ13 | Φ\\{Position}8 |\n| Φ14 | Φ\\{Voice}8 |\n| Φ15 | Φ\\{Subcategorization}8 |\n| Φ16 | Φ∩Φ1015 |",1]
["| FeatureSet | Description |\n| --- | --- |\n| Φ9 | Φ\\{FunctionTag}8 |\n| Φ10 | Φ\\{PredicateCluster}8 |","| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| FeatureSet | Description |\n| --- | --- |\n| Φ9 | Φ\\{FunctionTag}8 |","| Φ10 | Φ\\{PredicateCluster}8 |\n| --- | --- |\n| Φ11 | Φ\\{HeadWord}8 |\n| Φ12 | Φ\\{Path}8 |\n| Φ13 | Φ\\{Position}8 |\n| Φ14 | Φ\\{Voice}8 |\n| Φ15 | Φ\\{Subcategorization}8 |\n| Φ16 | Φ∩Φ1015 |",1]
["| FeatureSet | Description |\n| --- | --- |\n| Φ9 | Φ\\{FunctionTag}8 |","| dir | Binaryfeaturewhichistrueiﬀi<j |\n| --- | --- |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| AdditionalInformation | WN18 |\n| --- | --- |\n| MeanRankHits@10 |  |","| No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No | 98580.5<br>30438.2<br>25189.2<br>30386.7<br>22592.0<br>21892.3<br>34893.2<br>21292.2<br>--<br>-66.1<br>-94.2<br>206(244)93.4(94.7) |\n| --- | --- |\n| No<br>No | 20594.2<br>22395.2 |\n| Path<br>Path<br>Node+LinkFeatures<br>Path<br>ExternalMemory | --<br>--<br>-94.3<br>-94.8<br>24995.3 |",1]
["| AdditionalInformation | WN18 |\n| --- | --- |\n| MeanRankHits@10 |  |","| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| AdditionalInformation | WN18 |\n| --- | --- |\n| MeanRankHits@10 |  |\n| No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No | 98580.5<br>30438.2<br>25189.2<br>30386.7<br>22592.0<br>21892.3<br>34893.2<br>21292.2<br>--<br>-66.1<br>-94.2<br>206(244)93.4(94.7) |","| No<br>No | 20594.2<br>22395.2 |\n| --- | --- |\n| Path<br>Path<br>Node+LinkFeatures<br>Path<br>ExternalMemory | --<br>--<br>-94.3<br>-94.8<br>24995.3 |",1]
["| AdditionalInformation | WN18 |\n| --- | --- |\n| MeanRankHits@10 |  |\n| No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No<br>No | 98580.5<br>30438.2<br>25189.2<br>30386.7<br>22592.0<br>21892.3<br>34893.2<br>21292.2<br>--<br>-66.1<br>-94.2<br>206(244)93.4(94.7) |","| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1422 | 2691triangles | 130 |\n| CC-DFM | 1481 | 1386triangles | 95 |","| EDFM | 1501 | 1369quads | 132 |\n| --- | --- | --- | --- |\n| mortar-DFM | 3366 | 1280triangles | 75 |\n| P-XFEM | 1632 | 961quads | 318 |\n| D-XFEM | 4474 | 1250triangles | 126 |\n| MFD | 2352280 | 1136456quads | 38600 |",1]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1422 | 2691triangles | 130 |\n| CC-DFM | 1481 | 1386triangles | 95 |","| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1496 | 2863triangles | 74 |\n| CC-DFM | 1459 | 1416triangles | 43 |\n| EDFM | 1044 | 960quads | 84 |\n| mortar-DFM | 3647 | 1384triangles | 63 |\n| P-XFEM | 1667 | 1320quads | 68 |\n| D-XFEM | 3514 | 1132triangles | 160 |\n| MFD | 889233 | 424921mixed | 19287 |",0]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1422 | 2691triangles | 130 |\n| CC-DFM | 1481 | 1386triangles | 95 |\n| EDFM | 1501 | 1369quads | 132 |\n| mortar-DFM | 3366 | 1280triangles | 75 |","| P-XFEM | 1632 | 961quads | 318 |\n| --- | --- | --- | --- |\n| D-XFEM | 4474 | 1250triangles | 126 |\n| MFD | 2352280 | 1136456quads | 38600 |",1]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1422 | 2691triangles | 130 |\n| CC-DFM | 1481 | 1386triangles | 95 |\n| EDFM | 1501 | 1369quads | 132 |\n| mortar-DFM | 3366 | 1280triangles | 75 |","| mortar-DFM | 3647 | 1384triangles | 63 |\n| --- | --- | --- | --- |\n| P-XFEM | 1667 | 1320quads | 68 |\n| D-XFEM | 3514 | 1132triangles | 160 |\n| MFD | 889233 | 424921mixed | 19287 |",0]
["| SearchScore | ScoreChange | DiscountFactor | ContributiontoTotalError |\n| --- | --- | --- | --- |\n| 10 | 0 | 0.7 | 0 |\n| 20 | 10 | 0.7 | 7 |\n| 20 | 0 | 0.7 | 0 |\n| 20 | 0 | 0.7 | 0 |\n| -10 | -30 | 0.7 | -7.2 |\n| -10 | 0 | 0.7 | 0 |\n| -10 | 0 | 0.7 | 0 |\n| 40 | 50 | 0.7 | 4.12 |","| 40 | 0 | 0.7 | 0 |\n| --- | --- | --- | --- |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |",1]
["| SearchScore | ScoreChange | DiscountFactor | ContributiontoTotalError |\n| --- | --- | --- | --- |\n| 10 | 0 | 0.7 | 0 |\n| 20 | 10 | 0.7 | 7 |\n| 20 | 0 | 0.7 | 0 |\n| 20 | 0 | 0.7 | 0 |\n| -10 | -30 | 0.7 | -7.2 |\n| -10 | 0 | 0.7 | 0 |\n| -10 | 0 | 0.7 | 0 |\n| 40 | 50 | 0.7 | 4.12 |","| Student | Obtainedscore | FinalScore |\n| --- | --- | --- |\n| 1 | 1 | 50.32 |\n| 2 | 0 | 59.89 |\n| 3 | 0 | 61.63 |\n| 4 | 1 | 66.50 |\n| 5 | 1 | 67.54 |\n| 6 | 0 | 67.92 |\n| 7 | 1 | 69.57 |\n| 8 | 0 | 83.16 |\n| 9 | 0 | 84.73 |",0]
["| SearchScore | ScoreChange | DiscountFactor | ContributiontoTotalError |\n| --- | --- | --- | --- |\n| 10 | 0 | 0.7 | 0 |\n| 20 | 10 | 0.7 | 7 |\n| 20 | 0 | 0.7 | 0 |\n| 20 | 0 | 0.7 | 0 |\n| -10 | -30 | 0.7 | -7.2 |","| -10 | 0 | 0.7 | 0 |\n| --- | --- | --- | --- |\n| -10 | 0 | 0.7 | 0 |\n| 40 | 50 | 0.7 | 4.12 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |",1]
["| SearchScore | ScoreChange | DiscountFactor | ContributiontoTotalError |\n| --- | --- | --- | --- |\n| 10 | 0 | 0.7 | 0 |\n| 20 | 10 | 0.7 | 7 |\n| 20 | 0 | 0.7 | 0 |\n| 20 | 0 | 0.7 | 0 |\n| -10 | -30 | 0.7 | -7.2 |","| 7 | 1 | 69.57 |\n| --- | --- | --- |\n| 8 | 0 | 83.16 |\n| 9 | 0 | 84.73 |",0]
["| Method | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| FCRNall+ﬁlts | 0.76 | 0.92 | 0.83 |","| TextBoxes | 0.74 | 0.88 | 0.81 |\n| --- | --- | --- | --- |\n| TextBoxes+MS | 0.83 | 0.89 | 0.86 |\n| Seglink | 0.83 | 0.88 | 0.85 |\n| Tianetal. | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 |\n| Heetal. | 0.86 | 0.89 | 0.88 |\n| Heetal. | 0.81 | 0.92 | 0.86 |\n| WordSup+MS | 0.88 | 0.93 | 0.90 |\n| Baseline | 0.74 | 0.88 | 0.81 |\n| Baseline+MS | 0.85 | 0.92 | 0.88 |\n| RRD | 0.75 | 0.88 | 0.81 |\n| RRD+MS | 0.86 | 0.92 | 0.89 |",1]
["| Method | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| FCRNall+ﬁlts | 0.76 | 0.92 | 0.83 |","| Methods | recall | precision | f-measure |\n| --- | --- | --- | --- |\n| BaselineA | 0.233 | 0.8378 | 0.3648 |\n| BaselineB | 0.107 | 0.8973 | 0.1914 |\n| BaselineC | 0.047 | 0.1856 | 0.0747 |\n| Yaoetal. | 0.271 | 0.4323 | 0.3331 |\n| Zhouetal. | 0.324 | 0.5039 | 0.3945 |\n| TextBoxes++ | 0.5600 | 0.5582 | 0.5591 |\n| TextBoxes++MS | 0.5670 | 0.6087 | 0.5872 |",0]
["| Method | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| FCRNall+ﬁlts | 0.76 | 0.92 | 0.83 |\n| TextBoxes | 0.74 | 0.88 | 0.81 |\n| TextBoxes+MS | 0.83 | 0.89 | 0.86 |\n| Seglink | 0.83 | 0.88 | 0.85 |\n| Tianetal. | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 |\n| Heetal. | 0.86 | 0.89 | 0.88 |\n| Heetal. | 0.81 | 0.92 | 0.86 |","| WordSup+MS | 0.88 | 0.93 | 0.90 |\n| --- | --- | --- | --- |\n| Baseline | 0.74 | 0.88 | 0.81 |\n| Baseline+MS | 0.85 | 0.92 | 0.88 |\n| RRD | 0.75 | 0.88 | 0.81 |\n| RRD+MS | 0.86 | 0.92 | 0.89 |",1]
["| Method | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| FCRNall+ﬁlts | 0.76 | 0.92 | 0.83 |\n| TextBoxes | 0.74 | 0.88 | 0.81 |\n| TextBoxes+MS | 0.83 | 0.89 | 0.86 |\n| Seglink | 0.83 | 0.88 | 0.85 |\n| Tianetal. | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 |\n| Heetal. | 0.86 | 0.89 | 0.88 |\n| Heetal. | 0.81 | 0.92 | 0.86 |","| Yaoetal. | 0.271 | 0.4323 | 0.3331 |\n| --- | --- | --- | --- |\n| Zhouetal. | 0.324 | 0.5039 | 0.3945 |\n| TextBoxes++ | 0.5600 | 0.5582 | 0.5591 |\n| TextBoxes++MS | 0.5670 | 0.6087 | 0.5872 |",0]
["| #Clusters | Criterion | BaseMethods | LocalityBased | SparsityBased |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kmeans | NCUT | LLC | LSGC+LLC | SP | RSP | LSGC+SP |  |  |\n| 2 | NMI | 80.79 | 77.85 | 81.04 | 98.48 | 74.05 | 76.77 | 98.42 |\n| AC | 93.76 | 92.46 | 93.46 | 99.40 | 89.83 | 91.92 | 99.36 |  |\n| 4 | NMI | 76.60 | 88.36 | 82.24 | 98.09 | 77.54 | 78.70 | 93.73 |\n| AC | 82.50 | 90.65 | 86.99 | 98.49 | 81.24 | 83.98 | 93.78 |  |\n| 6 | NMI | 76.29 | 85.88 | 78.93 | 97.75 | 76.97 | 79.60 | 90.28 |\n| AC | 76.32 | 83.53 | 78.58 | 97.21 | 74.40 | 78.80 | 84.72 |  |\n| 8 | NMI | 76.23 | 87.46 | 74.40 | 95.32 | 73.06 | 79.03 | 88.18 |\n| AC | 73.28 | 83.57 | 71.20 | 92.28 | 66.97 | 76.12 | 79.72 |  |\n| 10 | NMI | 78.08 | 83.19 | 76.07 | 94.74 | 73.11 | 78.57 | 88.24 |\n| AC | 73.74 | 77.13 | 69.36 | 89.21 | 65.25 | 73.79 | 77.67 |  |\n| 12 | NMI | 79.45 | 80.33 | 75.67 | 93.35 | 73.75 | 76.35 | 87.24 |\n| AC | 72.64 | 73.07 | 68.08 | 86.14 | 64.63 | 69.15 | 76.01 |  |\n| 14 | NMI | 76.20 | 81.47 | 75.55 | 93.21 | 74.96 | 77.56 | 87.60 |\n| AC | 68.59 | 73.03 | 65.83 | 85.60 | 64.95 | 68.71 | 74.54 |  |\n| 16 | NMI | 77.41 | 77.81 | 75.72 | 93.21 | 73.46 | 76.62 | 85.79 |\n| AC | 68.84 | 65.99 | 64.97 | 84.77 | 62.37 | 66.56 | 71.38 |  |\n| 18 | NMI | 76.69 | 77.76 | 74.76 | 91.38 | 74.18 | 76.91 | 85.26 |","| AC | 65.53 | 65.14 | 63.18 | 80.97 | 62.46 | 66.00 | 69.48 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | NMI | 77.10 | 79.87 | 74.63 | 91.86 | 73.42 | 76.55 | 84.95 |\n| AC | 65.35 | 65.91 | 62.46 | 81.85 | 60.65 | 64.57 | 68.14 |  |\n| Avg | NMI | 77.48 | 82.00 | 76.90 | 94.74 | 74.45 | 77.67 | 88.97 |\n| AC | 74.06 | 77.05 | 72.41 | 89.59 | 69.28 | 73.96 | 79.48 |  |",1]
["| #Clusters | Criterion | BaseMethods | LocalityBased | SparsityBased |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kmeans | NCUT | LLC | LSGC+LLC | SP | RSP | LSGC+SP |  |  |\n| 2 | NMI | 80.79 | 77.85 | 81.04 | 98.48 | 74.05 | 76.77 | 98.42 |\n| AC | 93.76 | 92.46 | 93.46 | 99.40 | 89.83 | 91.92 | 99.36 |  |\n| 4 | NMI | 76.60 | 88.36 | 82.24 | 98.09 | 77.54 | 78.70 | 93.73 |\n| AC | 82.50 | 90.65 | 86.99 | 98.49 | 81.24 | 83.98 | 93.78 |  |\n| 6 | NMI | 76.29 | 85.88 | 78.93 | 97.75 | 76.97 | 79.60 | 90.28 |\n| AC | 76.32 | 83.53 | 78.58 | 97.21 | 74.40 | 78.80 | 84.72 |  |\n| 8 | NMI | 76.23 | 87.46 | 74.40 | 95.32 | 73.06 | 79.03 | 88.18 |\n| AC | 73.28 | 83.57 | 71.20 | 92.28 | 66.97 | 76.12 | 79.72 |  |\n| 10 | NMI | 78.08 | 83.19 | 76.07 | 94.74 | 73.11 | 78.57 | 88.24 |\n| AC | 73.74 | 77.13 | 69.36 | 89.21 | 65.25 | 73.79 | 77.67 |  |\n| 12 | NMI | 79.45 | 80.33 | 75.67 | 93.35 | 73.75 | 76.35 | 87.24 |\n| AC | 72.64 | 73.07 | 68.08 | 86.14 | 64.63 | 69.15 | 76.01 |  |\n| 14 | NMI | 76.20 | 81.47 | 75.55 | 93.21 | 74.96 | 77.56 | 87.60 |\n| AC | 68.59 | 73.03 | 65.83 | 85.60 | 64.95 | 68.71 | 74.54 |  |\n| 16 | NMI | 77.41 | 77.81 | 75.72 | 93.21 | 73.46 | 76.62 | 85.79 |\n| AC | 68.84 | 65.99 | 64.97 | 84.77 | 62.37 | 66.56 | 71.38 |  |\n| 18 | NMI | 76.69 | 77.76 | 74.76 | 91.38 | 74.18 | 76.91 | 85.26 |","| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |\n| 3 | 31.8 | 36.2 |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["| #Clusters | Criterion | BaseMethods | LocalityBased | SparsityBased |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kmeans | NCUT | LLC | LSGC+LLC | SP | RSP | LSGC+SP |  |  |\n| 2 | NMI | 80.79 | 77.85 | 81.04 | 98.48 | 74.05 | 76.77 | 98.42 |\n| AC | 93.76 | 92.46 | 93.46 | 99.40 | 89.83 | 91.92 | 99.36 |  |\n| 4 | NMI | 76.60 | 88.36 | 82.24 | 98.09 | 77.54 | 78.70 | 93.73 |\n| AC | 82.50 | 90.65 | 86.99 | 98.49 | 81.24 | 83.98 | 93.78 |  |\n| 6 | NMI | 76.29 | 85.88 | 78.93 | 97.75 | 76.97 | 79.60 | 90.28 |","| AC | 76.32 | 83.53 | 78.58 | 97.21 | 74.40 | 78.80 | 84.72 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | NMI | 76.23 | 87.46 | 74.40 | 95.32 | 73.06 | 79.03 | 88.18 |\n| AC | 73.28 | 83.57 | 71.20 | 92.28 | 66.97 | 76.12 | 79.72 |  |\n| 10 | NMI | 78.08 | 83.19 | 76.07 | 94.74 | 73.11 | 78.57 | 88.24 |\n| AC | 73.74 | 77.13 | 69.36 | 89.21 | 65.25 | 73.79 | 77.67 |  |\n| 12 | NMI | 79.45 | 80.33 | 75.67 | 93.35 | 73.75 | 76.35 | 87.24 |\n| AC | 72.64 | 73.07 | 68.08 | 86.14 | 64.63 | 69.15 | 76.01 |  |\n| 14 | NMI | 76.20 | 81.47 | 75.55 | 93.21 | 74.96 | 77.56 | 87.60 |\n| AC | 68.59 | 73.03 | 65.83 | 85.60 | 64.95 | 68.71 | 74.54 |  |\n| 16 | NMI | 77.41 | 77.81 | 75.72 | 93.21 | 73.46 | 76.62 | 85.79 |\n| AC | 68.84 | 65.99 | 64.97 | 84.77 | 62.37 | 66.56 | 71.38 |  |\n| 18 | NMI | 76.69 | 77.76 | 74.76 | 91.38 | 74.18 | 76.91 | 85.26 |\n| AC | 65.53 | 65.14 | 63.18 | 80.97 | 62.46 | 66.00 | 69.48 |  |\n| 20 | NMI | 77.10 | 79.87 | 74.63 | 91.86 | 73.42 | 76.55 | 84.95 |\n| AC | 65.35 | 65.91 | 62.46 | 81.85 | 60.65 | 64.57 | 68.14 |  |\n| Avg | NMI | 77.48 | 82.00 | 76.90 | 94.74 | 74.45 | 77.67 | 88.97 |\n| AC | 74.06 | 77.05 | 72.41 | 89.59 | 69.28 | 73.96 | 79.48 |  |",1]
["| #Clusters | Criterion | BaseMethods | LocalityBased | SparsityBased |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kmeans | NCUT | LLC | LSGC+LLC | SP | RSP | LSGC+SP |  |  |\n| 2 | NMI | 80.79 | 77.85 | 81.04 | 98.48 | 74.05 | 76.77 | 98.42 |\n| AC | 93.76 | 92.46 | 93.46 | 99.40 | 89.83 | 91.92 | 99.36 |  |\n| 4 | NMI | 76.60 | 88.36 | 82.24 | 98.09 | 77.54 | 78.70 | 93.73 |\n| AC | 82.50 | 90.65 | 86.99 | 98.49 | 81.24 | 83.98 | 93.78 |  |\n| 6 | NMI | 76.29 | 85.88 | 78.93 | 97.75 | 76.97 | 79.60 | 90.28 |","| 2 | 31.4 | 35.5 |\n| --- | --- | --- |\n| 3 | 31.8 | 36.2 |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |","| SMsandSPs | 13and192 |\n| --- | --- |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",1]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |","| DeviceMemorySize | 5GBGDDR5 |\n| --- | --- |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",1]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |","| ComputeCapability | 3.5 |\n| --- | --- |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |","| 800 | 3200 | 12800 |\n| --- | --- | --- |\n| 1568 | 6272 | 25088 |",1]
["| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |","| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |\n| 0 | 0 | 0 | 5 | 0 |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",0]
["| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |","| 800 | 3200 | 12800 |\n| --- | --- | --- |\n| 1568 | 6272 | 25088 |",1]
["| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |","| 5 | 23 | 26 | 0 | 3128 |\n| --- | --- | --- | --- | --- |\n| 11 | 32 | 0 | 0 | 0 |",0]
["| Scenario | b | d | s |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.1908 | 0.318 |\n| 2 | 0.004 | 2 | 0.318 |","| 3 | 0.002 | 0.3743 | 0.1181 |\n| --- | --- | --- | --- |\n| 4 | 0.002 | 0.3743 | 0 |",1]
["| Scenario | b | d | s |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.1908 | 0.318 |\n| 2 | 0.004 | 2 | 0.318 |","|  | a | b | c | d | e |\n| --- | --- | --- | --- | --- | --- |\n| i | 1.25 | 1.05 | 1.12 | 1.57 |  |\n| j | .83 | 1.13 | 1.02 | .35 | .18 |\n| k | 0 | .35 | .21 | -.56 | 1.02 |\n| (cid:96) | -.12 |  |  |  | .98 |",0]
["| Scenario | b | d | s |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.1908 | 0.318 |\n| 2 | 0.004 | 2 | 0.318 |","| 3 | 0.002 | 0.3743 | 0.1181 |\n| --- | --- | --- | --- |\n| 4 | 0.002 | 0.3743 | 0 |",1]
["| Scenario | b | d | s |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.1908 | 0.318 |\n| 2 | 0.004 | 2 | 0.318 |","| k | 0 | .35 | .21 | -.56 | 1.02 |\n| --- | --- | --- | --- | --- | --- |\n| (cid:96) | -.12 |  |  |  | .98 |",0]
["| Facedetection(FasterR-CNN,ZFNet) | 65ms |\n| --- | --- |\n| TrainingofFasterR-CNN/ZFNeton393kfaces | 12.2h |\n| Landmarklocalization(RTSM) | 42ms |","| 3Dcomponentreconstruction(persubject) | 17.6s |\n| --- | --- |\n| 3Dwholefacereconstruction(persubject) | 151.6s |\n| Featureextractionfora3Dcomponent | 1.6ms |\n| IdentiﬁcationbySRC(100subjectsingallery) | 1.85s |\n| CNNtrainingonhybriddatabase(500kfaces) | 42h26m |\n| IdentiﬁcationbyCNN(100subjectsingallery) | 0.397s |",1]
["| Facedetection(FasterR-CNN,ZFNet) | 65ms |\n| --- | --- |\n| TrainingofFasterR-CNN/ZFNeton393kfaces | 12.2h |\n| Landmarklocalization(RTSM) | 42ms |","| Feature |\n| --- |\n| ResNet |\n| P3DResNet(16-frame) |\n| P3DResNet(128-frame) |\n| P3DResNet(16-frame) |\n| - |",0]
["| Facedetection(FasterR-CNN,ZFNet) | 65ms |\n| --- | --- |\n| TrainingofFasterR-CNN/ZFNeton393kfaces | 12.2h |\n| Landmarklocalization(RTSM) | 42ms |\n| 3Dcomponentreconstruction(persubject) | 17.6s |\n| 3Dwholefacereconstruction(persubject) | 151.6s |","| Featureextractionfora3Dcomponent | 1.6ms |\n| --- | --- |\n| IdentiﬁcationbySRC(100subjectsingallery) | 1.85s |\n| CNNtrainingonhybriddatabase(500kfaces) | 42h26m |\n| IdentiﬁcationbyCNN(100subjectsingallery) | 0.397s |",1]
["| Facedetection(FasterR-CNN,ZFNet) | 65ms |\n| --- | --- |\n| TrainingofFasterR-CNN/ZFNeton393kfaces | 12.2h |\n| Landmarklocalization(RTSM) | 42ms |\n| 3Dcomponentreconstruction(persubject) | 17.6s |\n| 3Dwholefacereconstruction(persubject) | 151.6s |","| P3DResNet(128-frame) |\n| --- |\n| P3DResNet(16-frame) |\n| - |",0]
["| Category | Lh1 | Lh2 | Lh3 |\n| --- | --- | --- | --- |\n| card(entries) | 6.5∗10 | 1.01∗10 | 8.3∗10 |","| card(A)1 | 400+ | 350+ | 350+ |\n| --- | --- | --- | --- |\n| card(A)2 | 200+ | 200+ | 200+ |\n| card(A)3 | 160+ | 150+ | 120+ |\n| card(A)4 | 200+ | 50+ | ≈50 |\n| E2ETTD | ≤60mins | ≤55mins | ≤50mins |",1]
["| Category | Lh1 | Lh2 | Lh3 |\n| --- | --- | --- | --- |\n| card(entries) | 6.5∗10 | 1.01∗10 | 8.3∗10 |","| b | 7 | 9 | 10 | 12 |\n| --- | --- | --- | --- | --- |\n| CW | 81min | 92min | 103min | 124min |\n| QC | 0.99 | 0.994 | 0.993 | 0.991 |\n| CC | 102min | 123min | 128min | 131min |\n| QD | 0.94 | 0.96 | 0.95 | 0.94 |",0]
["| Category | Lh1 | Lh2 | Lh3 |\n| --- | --- | --- | --- |\n| card(entries) | 6.5∗10 | 1.01∗10 | 8.3∗10 |\n| card(A)1 | 400+ | 350+ | 350+ |","| card(A)2 | 200+ | 200+ | 200+ |\n| --- | --- | --- | --- |\n| card(A)3 | 160+ | 150+ | 120+ |\n| card(A)4 | 200+ | 50+ | ≈50 |\n| E2ETTD | ≤60mins | ≤55mins | ≤50mins |",1]
["| Category | Lh1 | Lh2 | Lh3 |\n| --- | --- | --- | --- |\n| card(entries) | 6.5∗10 | 1.01∗10 | 8.3∗10 |\n| card(A)1 | 400+ | 350+ | 350+ |","| CC | 102min | 123min | 128min | 131min |\n| --- | --- | --- | --- | --- |\n| QD | 0.94 | 0.96 | 0.95 | 0.94 |",0]
["|  | C1,2/8 | C1,8/2 | C2,2/8 | C2,8/2 |\n| --- | --- | --- | --- | --- |\n|  | 0.69 | 0.72 | 0.60 | 0.60 |\n|  | 0.68 | 0.71 | 0.62 | 0.63 |","|  | 0.74 | 0.75 | 0.65 | 0.66 |\n| --- | --- | --- | --- | --- |\n| Cglove | 0.76 | 0.83 | 0.73 | 0.77 |",1]
["|  | C1,2/8 | C1,8/2 | C2,2/8 | C2,8/2 |\n| --- | --- | --- | --- | --- |\n|  | 0.69 | 0.72 | 0.60 | 0.60 |\n|  | 0.68 | 0.71 | 0.62 | 0.63 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["|  | C1,2/8 | C1,8/2 | C2,2/8 | C2,8/2 |\n| --- | --- | --- | --- | --- |\n|  | 0.69 | 0.72 | 0.60 | 0.60 |\n|  | 0.68 | 0.71 | 0.62 | 0.63 |","|  | 0.74 | 0.75 | 0.65 | 0.66 |\n| --- | --- | --- | --- | --- |\n| Cglove | 0.76 | 0.83 | 0.73 | 0.77 |",1]
["|  | C1,2/8 | C1,8/2 | C2,2/8 | C2,8/2 |\n| --- | --- | --- | --- | --- |\n|  | 0.69 | 0.72 | 0.60 | 0.60 |\n|  | 0.68 | 0.71 | 0.62 | 0.63 |","| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["|  | #ofepisodes | #ofwordtokens |\n| --- | --- | --- |\n| ﬁction | 3760 | 13.4M |","| documentary | 3561 | 12.5M |\n| --- | --- | --- |\n| talkshow | 1318 | 11.7M |\n| quiz | 2047 | 8M |\n| lifestyle | 258 | 472k |\n| news/weather | 13 | 52k |\n| total | 10957 | 46M |",1]
["|  | #ofepisodes | #ofwordtokens |\n| --- | --- | --- |\n| ﬁction | 3760 | 13.4M |","| Numberofwords |  |  |  |\n| --- | --- | --- | --- |\n| 1Quartile | 2Quartile(Median) | 3Quartile |  |\n| Stanford | 5 | 15 | 18,5 |\n| Yelp | 15,5 | 36 | 67,6 |\n| Debate | 12 | 15,5 | 18 |\n| ReviewsI | 19 | 13 | 32,5 |\n| TwitterI | 14 | 20 | 23,5 |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |\n| NYT | 18 | 8 | 6 |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",0]
["|  | #ofepisodes | #ofwordtokens |\n| --- | --- | --- |\n| ﬁction | 3760 | 13.4M |\n| documentary | 3561 | 12.5M |\n| talkshow | 1318 | 11.7M |\n| quiz | 2047 | 8M |","| lifestyle | 258 | 472k |\n| --- | --- | --- |\n| news/weather | 13 | 52k |\n| total | 10957 | 46M |",1]
["|  | #ofepisodes | #ofwordtokens |\n| --- | --- | --- |\n| ﬁction | 3760 | 13.4M |\n| documentary | 3561 | 12.5M |\n| talkshow | 1318 | 11.7M |\n| quiz | 2047 | 8M |","| TwitterI | 14 | 20 | 23,5 |\n| --- | --- | --- | --- |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |\n| NYT | 18 | 8 | 6 |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",0]
["| Framework | Model | CIR | COL | IBD | OBE | T2D | WT2 | AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MetAML | RF | 0.877 | 0.805 | 0.809 | 0.644 | 0.664 | 0.703 | 0.750 |","|  | SVM | 0.834 | 0.743 | 0.809 | 0.636 | 0.613 | 0.596 | 0.705 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Met2Img | RF | 0.877 | 0.812 | 0.808 | 0.645 | 0.672 | 0.703 | 0.753 |\n|  | SVM-Sigmoid | 0.509 | 0.603 | 0.775 | 0.648 | 0.515 | 0.553 | 0.600 |\n|  | SVM-Radial | 0.529 | 0.603 | 0.775 | 0.648 | 0.593 | 0.553 | 0.617 |\n|  | SVM-Linear | 0.766 | 0.666 | 0.792 | 0.612 | 0.634 | 0.676 | 0.691 |\n|  | FC | 0.776 | 0.685 | 0.775 | 0.656 | 0.665 | 0.607 | 0.694 |\n|  | CNN1D | 0.775 | 0.722 | 0.842 | 0.663 | 0.668 | 0.618 | 0.715 |",1]
["| Framework | Model | CIR | COL | IBD | OBE | T2D | WT2 | AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MetAML | RF | 0.877 | 0.805 | 0.809 | 0.644 | 0.664 | 0.703 | 0.750 |","| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.89 | 0.122 | 0.878 | 0.11 | 0.885 |\n| NB | 0.537 | 0.18 | 0.82 | 0.463 | 0.654 |\n| SL | 0.884 | 0.11 | 0.89 | 0.116 | 0.887 |\n| MLP | 0.887 | 0.106 | 0.894 | 0.113 | 0.89 |\n| PART | 0.893 | 0.122 | 0.878 | 0.107 | 0.887 |\n| RF | 0.911 | 0.069 | 0.931 | 0.089 | 0.919 |\n| J48 | 0.869 | 0.094 | 0.906 | 0.131 | 0.885 |",0]
["| Framework | Model | CIR | COL | IBD | OBE | T2D | WT2 | AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MetAML | RF | 0.877 | 0.805 | 0.809 | 0.644 | 0.664 | 0.703 | 0.750 |\n|  | SVM | 0.834 | 0.743 | 0.809 | 0.636 | 0.613 | 0.596 | 0.705 |\n| Met2Img | RF | 0.877 | 0.812 | 0.808 | 0.645 | 0.672 | 0.703 | 0.753 |\n|  | SVM-Sigmoid | 0.509 | 0.603 | 0.775 | 0.648 | 0.515 | 0.553 | 0.600 |\n|  | SVM-Radial | 0.529 | 0.603 | 0.775 | 0.648 | 0.593 | 0.553 | 0.617 |","|  | SVM-Linear | 0.766 | 0.666 | 0.792 | 0.612 | 0.634 | 0.676 | 0.691 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | FC | 0.776 | 0.685 | 0.775 | 0.656 | 0.665 | 0.607 | 0.694 |\n|  | CNN1D | 0.775 | 0.722 | 0.842 | 0.663 | 0.668 | 0.618 | 0.715 |",1]
["| Framework | Model | CIR | COL | IBD | OBE | T2D | WT2 | AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MetAML | RF | 0.877 | 0.805 | 0.809 | 0.644 | 0.664 | 0.703 | 0.750 |\n|  | SVM | 0.834 | 0.743 | 0.809 | 0.636 | 0.613 | 0.596 | 0.705 |\n| Met2Img | RF | 0.877 | 0.812 | 0.808 | 0.645 | 0.672 | 0.703 | 0.753 |\n|  | SVM-Sigmoid | 0.509 | 0.603 | 0.775 | 0.648 | 0.515 | 0.553 | 0.600 |\n|  | SVM-Radial | 0.529 | 0.603 | 0.775 | 0.648 | 0.593 | 0.553 | 0.617 |","| NB | 0.537 | 0.18 | 0.82 | 0.463 | 0.654 |\n| --- | --- | --- | --- | --- | --- |\n| SL | 0.884 | 0.11 | 0.89 | 0.116 | 0.887 |\n| MLP | 0.887 | 0.106 | 0.894 | 0.113 | 0.89 |\n| PART | 0.893 | 0.122 | 0.878 | 0.107 | 0.887 |\n| RF | 0.911 | 0.069 | 0.931 | 0.089 | 0.919 |\n| J48 | 0.869 | 0.094 | 0.906 | 0.131 | 0.885 |",0]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |\n| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |\n| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |\n| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |","| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |\n| --- | --- | --- | --- | --- | --- |\n| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 |",1]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |\n| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |\n| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |\n| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |","| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |\n| ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |\n| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 |\n| MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |\n| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |\n| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 |",0]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |\n| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |\n| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |","| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |\n| --- | --- | --- | --- | --- | --- |\n| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |\n| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 |",1]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |\n| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |\n| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |","| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 |\n| --- | --- | --- | --- | --- | --- |\n| MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |\n| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |\n| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 |",0]
["| Case | Emptycells<br>inh(x)1 | Emptycells<br>inh(x)2 | xisafalsepositive<br>ontheCBBF | InsertingxontheCBBF<br>createsfalsepositives |\n| --- | --- | --- | --- | --- |\n| Case1 | Yes/No | Yes/No | Yes | Yes/No |\n| Case2 | Yes | Yes/No | No | Yes/No |\n| Case3 | No | Yes | No | No |","| Case4 | No | Yes/No | No | Yes |\n| --- | --- | --- | --- | --- |\n| Case5 | No | No | No | No |",1]
["| Case | Emptycells<br>inh(x)1 | Emptycells<br>inh(x)2 | xisafalsepositive<br>ontheCBBF | InsertingxontheCBBF<br>createsfalsepositives |\n| --- | --- | --- | --- | --- |\n| Case1 | Yes/No | Yes/No | Yes | Yes/No |\n| Case2 | Yes | Yes/No | No | Yes/No |\n| Case3 | No | Yes | No | No |","| x1 | x2 | x3 | x4 | f(x):Case1 | Case2 | Case3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 0 | 1 | 0 | 1 | 1 | * |\n| 0 | 0 | 1 | 1 | 1 | 1 | * |\n| 0 | 1 | 0 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 0 | 0 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 1 | 0 | 0 | 1 | 1 | * |\n| 1 | 1 | 0 | 1 | 1 | 0 | * |\n| 1 | 1 | 1 | 0 | 1 | 0 | * |\n| 1 | 1 | 1 | 1 | * | * | * |",0]
["| Case | Emptycells<br>inh(x)1 | Emptycells<br>inh(x)2 | xisafalsepositive<br>ontheCBBF | InsertingxontheCBBF<br>createsfalsepositives |\n| --- | --- | --- | --- | --- |\n| Case1 | Yes/No | Yes/No | Yes | Yes/No |\n| Case2 | Yes | Yes/No | No | Yes/No |","| Case3 | No | Yes | No | No |\n| --- | --- | --- | --- | --- |\n| Case4 | No | Yes/No | No | Yes |\n| Case5 | No | No | No | No |",1]
["| Case | Emptycells<br>inh(x)1 | Emptycells<br>inh(x)2 | xisafalsepositive<br>ontheCBBF | InsertingxontheCBBF<br>createsfalsepositives |\n| --- | --- | --- | --- | --- |\n| Case1 | Yes/No | Yes/No | Yes | Yes/No |\n| Case2 | Yes | Yes/No | No | Yes/No |","| 0 | 1 | 0 | 0 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0 | 1 | 0 | 1 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 0 | 1 | 1 | 1 |\n| 0 | 1 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 0 | 0 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 0 | 1 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 0 | 1 | 1 | 1 |\n| 1 | 0 | 1 | 1 | 1 | 0 | 1 |\n| 1 | 1 | 0 | 0 | 1 | 1 | * |\n| 1 | 1 | 0 | 1 | 1 | 0 | * |\n| 1 | 1 | 1 | 0 | 1 | 0 | * |\n| 1 | 1 | 1 | 1 | * | * | * |",0]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |","| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",1]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |","| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",1]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |","| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| Level | Score[pts] | Hints | Penalty[pts] |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | G1 | G2 | G1 | G2 | G1 | G2 |\n| 1 | 8 | 16 | 2 | 2 | −2,−2 | −3,−5 |\n| 2 | 12 | 22 | 2 | 2 | −2,−3 | −7,−5 |\n| 3 | 23 | 27 | 3 | 4 | −1,−3,−2 | −5,−10,−0,−0 |\n| 4 | 20 | 35 | 2 | 4 | −2,−3 | −5,−10,−5,−5 |\n| 5 | 22 | — | 2 | — | −3,−4 | — |","| 6 | 15 | — | 2 | — | −5,−2 | — |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total | 100 | 100 | 13 | 12 | −34 | −60 |",1]
["| Level | Score[pts] | Hints | Penalty[pts] |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | G1 | G2 | G1 | G2 | G1 | G2 |\n| 1 | 8 | 16 | 2 | 2 | −2,−2 | −3,−5 |\n| 2 | 12 | 22 | 2 | 2 | −2,−3 | −7,−5 |\n| 3 | 23 | 27 | 3 | 4 | −1,−3,−2 | −5,−10,−0,−0 |\n| 4 | 20 | 35 | 2 | 4 | −2,−3 | −5,−10,−5,−5 |\n| 5 | 22 | — | 2 | — | −3,−4 | — |","| Scoretype | Points |\n| --- | --- |\n| Goal | 3 |\n| Assist | 2 |\n| ShotonGoal | 0.5 |\n| BlockedShot | 0.5 |\n| ShortHandedPointBonus(Goal/Assist) | 1 |\n| ShootoutGoal | 0.2 |\n| HatTrickBonus | 1.5 |\n| Win(goalieonly) | 3 |\n| Save(goalieonly) | 0.2 |\n| Goalallowed(goalieonly) | -1 |\n| ShutoutBonus(goalieonly) | 2 |",0]
["| Level | Score[pts] | Hints | Penalty[pts] |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | G1 | G2 | G1 | G2 | G1 | G2 |","| 1 | 8 | 16 | 2 | 2 | −2,−2 | −3,−5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 12 | 22 | 2 | 2 | −2,−3 | −7,−5 |\n| 3 | 23 | 27 | 3 | 4 | −1,−3,−2 | −5,−10,−0,−0 |\n| 4 | 20 | 35 | 2 | 4 | −2,−3 | −5,−10,−5,−5 |\n| 5 | 22 | — | 2 | — | −3,−4 | — |\n| 6 | 15 | — | 2 | — | −5,−2 | — |\n| Total | 100 | 100 | 13 | 12 | −34 | −60 |",1]
["| Level | Score[pts] | Hints | Penalty[pts] |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | G1 | G2 | G1 | G2 | G1 | G2 |","| Assist | 2 |\n| --- | --- |\n| ShotonGoal | 0.5 |\n| BlockedShot | 0.5 |\n| ShortHandedPointBonus(Goal/Assist) | 1 |\n| ShootoutGoal | 0.2 |\n| HatTrickBonus | 1.5 |\n| Win(goalieonly) | 3 |\n| Save(goalieonly) | 0.2 |\n| Goalallowed(goalieonly) | -1 |\n| ShutoutBonus(goalieonly) | 2 |",0]
["| AU4 | AU6 | AU9 | AU12 | AU25 | AU26 |\n| --- | --- | --- | --- | --- | --- |\n| 51.93 | 42.34 | 41.06 | 58.89 | 78.84 | 57.98 |\n| 59.85 | 48.54 | 46.79 | 53.23 | 63.14 | 54.61 |","| 56.75 | 47.97 | 43.88 | 60.33 | 78.35 | 59.82 |\n| --- | --- | --- | --- | --- | --- |\n| 60.20 | 50.90 | 47.67 | 59.17 | 73.82 | 59.17 |\n| 65.59 | 53.62 | 47.10 | 60.02 | 79.96 | 57.08 |",1]
["| AU4 | AU6 | AU9 | AU12 | AU25 | AU26 |\n| --- | --- | --- | --- | --- | --- |\n| 51.93 | 42.34 | 41.06 | 58.89 | 78.84 | 57.98 |\n| 59.85 | 48.54 | 46.79 | 53.23 | 63.14 | 54.61 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| AU4 | AU6 | AU9 | AU12 | AU25 | AU26 |\n| --- | --- | --- | --- | --- | --- |\n| 51.93 | 42.34 | 41.06 | 58.89 | 78.84 | 57.98 |\n| 59.85 | 48.54 | 46.79 | 53.23 | 63.14 | 54.61 |","| 56.75 | 47.97 | 43.88 | 60.33 | 78.35 | 59.82 |\n| --- | --- | --- | --- | --- | --- |\n| 60.20 | 50.90 | 47.67 | 59.17 | 73.82 | 59.17 |\n| 65.59 | 53.62 | 47.10 | 60.02 | 79.96 | 57.08 |",1]
["| AU4 | AU6 | AU9 | AU12 | AU25 | AU26 |\n| --- | --- | --- | --- | --- | --- |\n| 51.93 | 42.34 | 41.06 | 58.89 | 78.84 | 57.98 |\n| 59.85 | 48.54 | 46.79 | 53.23 | 63.14 | 54.61 |","| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.1609µ | 33.728n | 132.9407µ |\n| Averagepower<br>consumption(watts) | 14.42E-05 | 2.615E-05 | 28.147E-05 |","| PropagationDelay(s) | 155.61p | 132.74f | 195.02p |\n| --- | --- | --- | --- |\n| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 |",1]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.1609µ | 33.728n | 132.9407µ |\n| Averagepower<br>consumption(watts) | 14.42E-05 | 2.615E-05 | 28.147E-05 |","| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |\n| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.1609µ | 33.728n | 132.9407µ |","| Averagepower<br>consumption(watts) | 14.42E-05 | 2.615E-05 | 28.147E-05 |\n| --- | --- | --- | --- |\n| PropagationDelay(s) | 155.61p | 132.74f | 195.02p |\n| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 |",1]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.1609µ | 33.728n | 132.9407µ |","| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| --- | --- | --- | --- |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| Model | Time(inhours) |\n| --- | --- |\n| Huangetal | 168 |\n| MSSG50d | 1 |","| MSSG-300d | 6 |\n| --- | --- |\n| NP-MSSG-50d | 1.83 |\n| NP-MSSG-300d | 5 |\n| Skip-gram-50d | 0.33 |\n| Skip-gram-300d | 1.5 |",1]
["| Model | Time(inhours) |\n| --- | --- |\n| Huangetal | 168 |\n| MSSG50d | 1 |","| Model | ρ×100 |\n| --- | --- |\n| HLBL | 33.2 |\n| C&W | 55.3 |\n| Skip-gram-300d | 70.4 |\n| Huangetal-G | 22.8 |\n| Huangetal-M | 64.2 |\n| MSSG50d-G | 60.6 |\n| MSSG50d-M | 63.2 |\n| MSSG300d-G | 69.2 |\n| MSSG300d-M | 70.9 |\n| NP-MSSG50d-G | 61.5 |\n| NP-MSSG50d-M | 62.4 |\n| NP-MSSG300d-G | 69.1 |\n| NP-MSSG300d-M | 68.6 |\n| PrunedTF-IDF | 73.4 |\n| ESA | 75 |\n| TieredTF-IDF | 76.9 |",0]
["| Model | Time(inhours) |\n| --- | --- |\n| Huangetal | 168 |","| MSSG50d | 1 |\n| --- | --- |\n| MSSG-300d | 6 |\n| NP-MSSG-50d | 1.83 |\n| NP-MSSG-300d | 5 |\n| Skip-gram-50d | 0.33 |\n| Skip-gram-300d | 1.5 |",1]
["| Model | Time(inhours) |\n| --- | --- |\n| Huangetal | 168 |","| MSSG50d-G | 60.6 |\n| --- | --- |\n| MSSG50d-M | 63.2 |\n| MSSG300d-G | 69.2 |\n| MSSG300d-M | 70.9 |\n| NP-MSSG50d-G | 61.5 |\n| NP-MSSG50d-M | 62.4 |\n| NP-MSSG300d-G | 69.1 |\n| NP-MSSG300d-M | 68.6 |\n| PrunedTF-IDF | 73.4 |\n| ESA | 75 |\n| TieredTF-IDF | 76.9 |",0]
["| System | Field | RealError | NoError | Total |\n| --- | --- | --- | --- | --- |\n| Uncommon<br>CharacterSystem | POS | 16 | 1 | 17 |\n| MAIN | 4 | 10 | 14 |  |","| TextLength<br>System | POS | 110 | 3 | 113 |\n| --- | --- | --- | --- | --- |\n| MAIN | 30 | 1 | 31 |  |",1]
["| System | Field | RealError | NoError | Total |\n| --- | --- | --- | --- | --- |\n| Uncommon<br>CharacterSystem | POS | 16 | 1 | 17 |\n| MAIN | 4 | 10 | 14 |  |","| Test<br>Case | HAMPI | Kaluza | SUSHI | CVC4 | Rex | XData<br>solver |\n| --- | --- | --- | --- | --- | --- | --- |\n| S1 | 150 | 706 | 22 | 6 | 124 | 4 |\n| S2 | 136 | 706 | 34 | 6 | 140 | 4 |\n| S3 | 139 | 708 | 39 | 9 | 140 | 4 |\n| S4 | - | 2444 | 175 | 17 | 168 | 15 |\n| S5 | - | 671 | 160 | 19 | 156 | 14 |\n| S6 | 137 | 380 | 54 | * | 256 | 4 |\n| S7 | - | 653 | - | 20 | - | 11 |\n| S8 | - | - | - | - | - | 23 |\n| S9 | - | - | - | - | - | 11 |\n| S10 | - | - | - | - | - | 30 |",0]
["| System | Field | RealError | NoError | Total |\n| --- | --- | --- | --- | --- |\n| Uncommon<br>CharacterSystem | POS | 16 | 1 | 17 |\n| MAIN | 4 | 10 | 14 |  |","| TextLength<br>System | POS | 110 | 3 | 113 |\n| --- | --- | --- | --- | --- |\n| MAIN | 30 | 1 | 31 |  |",1]
["| System | Field | RealError | NoError | Total |\n| --- | --- | --- | --- | --- |\n| Uncommon<br>CharacterSystem | POS | 16 | 1 | 17 |\n| MAIN | 4 | 10 | 14 |  |","| S4 | - | 2444 | 175 | 17 | 168 | 15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| S5 | - | 671 | 160 | 19 | 156 | 14 |\n| S6 | 137 | 380 | 54 | * | 256 | 4 |\n| S7 | - | 653 | - | 20 | - | 11 |\n| S8 | - | - | - | - | - | 23 |\n| S9 | - | - | - | - | - | 11 |\n| S10 | - | - | - | - | - | 30 |",0]
["| i | xandx12 | xthroughx3i |\n| --- | --- | --- |\n| 3 | 2.127480103088468 | 2.715029663803688 |\n| 4 | 3.2023557495551507 | 4.175556640172782 |","| 5 | 4.270167577054796 | 5.608618419590356 |\n| --- | --- | --- |\n| 6 | 5.335126162486634 | 7.033301794415261 |\n| 7 | 6.3986555212789265 | 8.454218195486414 |\n| 8 | 7.461367172755974 | 9.873101560726544 |\n| 9 | 8.52356722480373 | 11.290758818589284 |\n| 10 | 9.585425903496056 | 12.707618366991161 |",1]
["| i | xandx12 | xthroughx3i |\n| --- | --- | --- |\n| 3 | 2.127480103088468 | 2.715029663803688 |\n| 4 | 3.2023557495551507 | 4.175556640172782 |","| n | xandx12 | xthroughx3n | xn+1 |\n| --- | --- | --- | --- |\n| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |\n| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |\n| 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 |\n| 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 |\n| 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 |\n| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 |\n| 9 | 8.88747045789415 | 12.002823667602273 | 5.867063400774457 |\n| 10 | 9.951267362449125 | 13.41863151261787 | 6.576885724382338 |",0]
["| i | xandx12 | xthroughx3i |\n| --- | --- | --- |\n| 3 | 2.127480103088468 | 2.715029663803688 |\n| 4 | 3.2023557495551507 | 4.175556640172782 |","| 5 | 4.270167577054796 | 5.608618419590356 |\n| --- | --- | --- |\n| 6 | 5.335126162486634 | 7.033301794415261 |\n| 7 | 6.3986555212789265 | 8.454218195486414 |\n| 8 | 7.461367172755974 | 9.873101560726544 |\n| 9 | 8.52356722480373 | 11.290758818589284 |\n| 10 | 9.585425903496056 | 12.707618366991161 |",1]
["| i | xandx12 | xthroughx3i |\n| --- | --- | --- |\n| 3 | 2.127480103088468 | 2.715029663803688 |\n| 4 | 3.2023557495551507 | 4.175556640172782 |","| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 |\n| --- | --- | --- | --- |\n| 9 | 8.88747045789415 | 12.002823667602273 | 5.867063400774457 |\n| 10 | 9.951267362449125 | 13.41863151261787 | 6.576885724382338 |",0]
["| Algorithm | Modularity |  |  |\n| --- | --- | --- | --- |\n| Min. | Avg. | Max. |  |\n| multilevel | 0.73 | 0.97 | 0.99 |\n| fastgreedy | 0.71 | 0.96 | 0.99 |","| walktrap | 0.61 | 0.75 | 0.87 |\n| --- | --- | --- | --- |\n| labelpropagation | 0.61 | 0.91 | 0.96 |\n| infomap | 0.66 | 0.91 | 0.94 |",1]
["| Algorithm | Modularity |  |  |\n| --- | --- | --- | --- |\n| Min. | Avg. | Max. |  |\n| multilevel | 0.73 | 0.97 | 0.99 |\n| fastgreedy | 0.71 | 0.96 | 0.99 |","| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |\n| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |\n| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |\n| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",0]
["| Algorithm | Modularity |  |  |\n| --- | --- | --- | --- |\n| Min. | Avg. | Max. |  |\n| multilevel | 0.73 | 0.97 | 0.99 |\n| fastgreedy | 0.71 | 0.96 | 0.99 |","| walktrap | 0.61 | 0.75 | 0.87 |\n| --- | --- | --- | --- |\n| labelpropagation | 0.61 | 0.91 | 0.96 |\n| infomap | 0.66 | 0.91 | 0.94 |",1]
["| Algorithm | Modularity |  |  |\n| --- | --- | --- | --- |\n| Min. | Avg. | Max. |  |\n| multilevel | 0.73 | 0.97 | 0.99 |\n| fastgreedy | 0.71 | 0.96 | 0.99 |","| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |\n| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",0]
["| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |\n| --- | --- | --- | --- | --- | --- |\n|  | 1.69\\|1.00\\|2.84 | 1.60\\|0.99\\|2.32 | 1.57\\|1.14\\|2.64 | 1.56\\|0.86\\|1.83 | 1.53\\|0.84\\|1.81 |\n|  | 1.17\\|1.01\\|1.81 | 1.11\\|0.82\\|1.70 | 1.11\\|0.81\\|2.25 | 1.12\\|0.81\\|1.70 | 1.12\\|0.83\\|1.70 |\n|  | 0,91\\|0.83\\|1.03 | 0.80\\|0.81\\|0.89 | 1.33\\|0.85\\|2.61 | 0.79\\|0.81\\|0.89 | 0.78\\|0.82\\|0.89 |","|  | 1.72\\|1.10\\|3.80 | 1.38\\|0.89\\|2.30 | 0.95\\|0.69\\|1.78 | 1.37\\|0.65\\|2.30 | 1.37\\|0.60\\|2.30 |\n| --- | --- | --- | --- | --- | --- |\n|  | 1.02\\|0.75\\|2.00 | 0.94\\|0.41\\|1.66 | 0.96\\|0.69\\|1.67 | 0.90\\|0.40\\|1.51 | 0.89\\|0.36\\|1.51 |\n|  | 1.38\\|0.86\\|2.45 | 1.29\\|0.87\\|2.02 | 1.20\\|0.75\\|2.46 | 1.01\\|0.65\\|1.65 | 0.99\\|0.66\\|1.65 |\n|  | 1.32\\|0.93\\|2.32 | 1.29\\|0.79\\|1.82 | 1.19\\|0.82\\|2.24 | 1.14\\|0.70\\|1.65 | 1.11\\|0.69\\|1.64 |",1]
["| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |\n| --- | --- | --- | --- | --- | --- |\n|  | 1.69\\|1.00\\|2.84 | 1.60\\|0.99\\|2.32 | 1.57\\|1.14\\|2.64 | 1.56\\|0.86\\|1.83 | 1.53\\|0.84\\|1.81 |\n|  | 1.17\\|1.01\\|1.81 | 1.11\\|0.82\\|1.70 | 1.11\\|0.81\\|2.25 | 1.12\\|0.81\\|1.70 | 1.12\\|0.83\\|1.70 |\n|  | 0,91\\|0.83\\|1.03 | 0.80\\|0.81\\|0.89 | 1.33\\|0.85\\|2.61 | 0.79\\|0.81\\|0.89 | 0.78\\|0.82\\|0.89 |","| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |\n|  | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |\n|  | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |\n|  | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |\n|  | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |\n|  | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |\n|  | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |\n| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",0]
["| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |\n| --- | --- | --- | --- | --- | --- |\n|  | 1.69\\|1.00\\|2.84 | 1.60\\|0.99\\|2.32 | 1.57\\|1.14\\|2.64 | 1.56\\|0.86\\|1.83 | 1.53\\|0.84\\|1.81 |\n|  | 1.17\\|1.01\\|1.81 | 1.11\\|0.82\\|1.70 | 1.11\\|0.81\\|2.25 | 1.12\\|0.81\\|1.70 | 1.12\\|0.83\\|1.70 |\n|  | 0,91\\|0.83\\|1.03 | 0.80\\|0.81\\|0.89 | 1.33\\|0.85\\|2.61 | 0.79\\|0.81\\|0.89 | 0.78\\|0.82\\|0.89 |\n|  | 1.72\\|1.10\\|3.80 | 1.38\\|0.89\\|2.30 | 0.95\\|0.69\\|1.78 | 1.37\\|0.65\\|2.30 | 1.37\\|0.60\\|2.30 |","|  | 1.02\\|0.75\\|2.00 | 0.94\\|0.41\\|1.66 | 0.96\\|0.69\\|1.67 | 0.90\\|0.40\\|1.51 | 0.89\\|0.36\\|1.51 |\n| --- | --- | --- | --- | --- | --- |\n|  | 1.38\\|0.86\\|2.45 | 1.29\\|0.87\\|2.02 | 1.20\\|0.75\\|2.46 | 1.01\\|0.65\\|1.65 | 0.99\\|0.66\\|1.65 |\n|  | 1.32\\|0.93\\|2.32 | 1.29\\|0.79\\|1.82 | 1.19\\|0.82\\|2.24 | 1.14\\|0.70\\|1.65 | 1.11\\|0.69\\|1.64 |",1]
["| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |\n| --- | --- | --- | --- | --- | --- |\n|  | 1.69\\|1.00\\|2.84 | 1.60\\|0.99\\|2.32 | 1.57\\|1.14\\|2.64 | 1.56\\|0.86\\|1.83 | 1.53\\|0.84\\|1.81 |\n|  | 1.17\\|1.01\\|1.81 | 1.11\\|0.82\\|1.70 | 1.11\\|0.81\\|2.25 | 1.12\\|0.81\\|1.70 | 1.12\\|0.83\\|1.70 |\n|  | 0,91\\|0.83\\|1.03 | 0.80\\|0.81\\|0.89 | 1.33\\|0.85\\|2.61 | 0.79\\|0.81\\|0.89 | 0.78\\|0.82\\|0.89 |\n|  | 1.72\\|1.10\\|3.80 | 1.38\\|0.89\\|2.30 | 0.95\\|0.69\\|1.78 | 1.37\\|0.65\\|2.30 | 1.37\\|0.60\\|2.30 |","| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |","| CumulativeAttributeRegression | 2.07 | 6.86 |\n| --- | --- | --- |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| OPT-RC | 2.03 | 5.97 |\n| FCN-MT | 1.67 | 3.41 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| Baseline3 | 1.67 | 3.41 |\n| FCN-HA | 1.65 | 3.37 |\n| FCN-rLSTM | 1.54 | 3.02 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |","| CumulativeAttributeRegression | 2.07 | 6.86 |\n| --- | --- | --- |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| OPT-RC | 2.03 | 5.97 |\n| FCN-MT | 1.67 | 3.41 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |","| RidgeRegression | 2.25 | 7.82 |\n| --- | --- | --- |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| Baseline3 | 1.67 | 3.41 |\n| FCN-HA | 1.65 | 3.37 |\n| FCN-rLSTM | 1.54 | 3.02 |",0]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| House | Removedoutliers | 2396 | 862 | 722 | 498 |\n| Remaininginliers | 99936 | 101470 | 101610 | 101834 |  |","| RMSE(pixels) | 0.9119 | 0.5982 | 0.6007 | 0.6063 |\n| --- | --- | --- | --- | --- |\n| Runtime(seconds) | 50878 | 975 | 322 | 477 |",1]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| House | Removedoutliers | 2396 | 862 | 722 | 498 |\n| Remaininginliers | 99936 | 101470 | 101610 | 101834 |  |","|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| Cathedral | Removedoutliers | 1594 | 652 | 541 | 428 |\n| Remaininginliers | 44451 | 45393 | 45504 | 45617 |  |\n| RMSE(pixels) | 1.1343 | 0.8036 | 0.8075 | 0.8178 |  |\n| Runtime(seconds) | 2354 | 259 | 76 | 134 |  |",0]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| House | Removedoutliers | 2396 | 862 | 722 | 498 |","| Remaininginliers | 99936 | 101470 | 101610 | 101834 |\n| --- | --- | --- | --- | --- |\n| RMSE(pixels) | 0.9119 | 0.5982 | 0.6007 | 0.6063 |\n| Runtime(seconds) | 50878 | 975 | 322 | 477 |",1]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| House | Removedoutliers | 2396 | 862 | 722 | 498 |","| Remaininginliers | 44451 | 45393 | 45504 | 45617 |\n| --- | --- | --- | --- | --- |\n| RMSE(pixels) | 1.1343 | 0.8036 | 0.8075 | 0.8178 |\n| Runtime(seconds) | 2354 | 259 | 76 | 134 |",0]
["| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |\n| --- | --- | --- | --- | --- |\n| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |\n| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |\n| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |\n| NCSR | Non-blind | sRGB | 34.05 | 0.8351 |\n| MLP | Non-blind | sRGB | 34.23 | 0.8331 |\n| FFDNet | Non-blind | sRGB | 34.40 | 0.8474 |\n| BM3D | Non-blind | sRGB | 34.51 | 0.8507 |\n| FoE | Non-blind | sRGB | 34.62 | 0.8845 |\n| WNNM | Non-blind | sRGB | 34.67 | 0.8646 |\n| CIMM | Non-blind | sRGB | 36.04 | 0.9136 |\n| KSVD | Non-blind | sRGB | 36.49 | 0.8978 |\n| MCWNNM. | Non-blind | sRGB | 37.38 | 0.9294 |\n| CBDNet(Syn) | Blind | sRGB | 37.57 | 0.9360 |","| CBDNet(Real) | Blind | sRGB | 37.72 | 0.9408 |\n| --- | --- | --- | --- | --- |\n| CBDNet(All) | Blind | sRGB | 38.06 | 0.9421 |",1]
["| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |\n| --- | --- | --- | --- | --- |\n| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |\n| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |\n| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |\n| NCSR | Non-blind | sRGB | 34.05 | 0.8351 |\n| MLP | Non-blind | sRGB | 34.23 | 0.8331 |\n| FFDNet | Non-blind | sRGB | 34.40 | 0.8474 |\n| BM3D | Non-blind | sRGB | 34.51 | 0.8507 |\n| FoE | Non-blind | sRGB | 34.62 | 0.8845 |\n| WNNM | Non-blind | sRGB | 34.67 | 0.8646 |\n| CIMM | Non-blind | sRGB | 36.04 | 0.9136 |\n| KSVD | Non-blind | sRGB | 36.49 | 0.8978 |\n| MCWNNM. | Non-blind | sRGB | 37.38 | 0.9294 |\n| CBDNet(Syn) | Blind | sRGB | 37.57 | 0.9360 |","| Method | FRGC4× | FRGC8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |\n| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |\n| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",0]
["| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |\n| --- | --- | --- | --- | --- |\n| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |\n| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |\n| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |\n| NCSR | Non-blind | sRGB | 34.05 | 0.8351 |","| MLP | Non-blind | sRGB | 34.23 | 0.8331 |\n| --- | --- | --- | --- | --- |\n| FFDNet | Non-blind | sRGB | 34.40 | 0.8474 |\n| BM3D | Non-blind | sRGB | 34.51 | 0.8507 |\n| FoE | Non-blind | sRGB | 34.62 | 0.8845 |\n| WNNM | Non-blind | sRGB | 34.67 | 0.8646 |\n| CIMM | Non-blind | sRGB | 36.04 | 0.9136 |\n| KSVD | Non-blind | sRGB | 36.49 | 0.8978 |\n| MCWNNM. | Non-blind | sRGB | 37.38 | 0.9294 |\n| CBDNet(Syn) | Blind | sRGB | 37.57 | 0.9360 |\n| CBDNet(Real) | Blind | sRGB | 37.72 | 0.9408 |\n| CBDNet(All) | Blind | sRGB | 38.06 | 0.9421 |",1]
["| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |\n| --- | --- | --- | --- | --- |\n| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |\n| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |\n| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |\n| NCSR | Non-blind | sRGB | 34.05 | 0.8351 |","| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",0]
["| Dataset | PTA | MP | DV | Ours |\n| --- | --- | --- | --- | --- |\n| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |\n| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 |","| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |\n| --- | --- | --- | --- | --- |\n| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |",1]
["| Dataset | PTA | MP | DV | Ours |\n| --- | --- | --- | --- | --- |\n| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |\n| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 |","| Dataset | DDER | CoR | RLMS | Ours |\n| --- | --- | --- | --- | --- |\n| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |\n| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |\n| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |\n| my01 | 5.61 | 2.79 | 4.35 | 2.89 |\n| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |\n| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |\n| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |\n| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",0]
["| Dataset | PTA | MP | DV | Ours |\n| --- | --- | --- | --- | --- |\n| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |","| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 |\n| --- | --- | --- | --- | --- |\n| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |\n| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |",1]
["| Dataset | PTA | MP | DV | Ours |\n| --- | --- | --- | --- | --- |\n| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |","| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| --- | --- | --- | --- | --- |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",0]
["| PRI↑ | VoI↓ | BDE↓ | GCE↓ |  |\n| --- | --- | --- | --- | --- |\n| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |","| CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 |\n| --- | --- | --- | --- | --- |\n| HFEM | 0.7769 | 2.3067 | 10.6700 | 0.2215 |\n| MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |\n| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 |",1]
["| PRI↑ | VoI↓ | BDE↓ | GCE↓ |  |\n| --- | --- | --- | --- | --- |\n| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |","| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |\n| --- | --- | --- | --- | --- | --- | --- |\n| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |\n| MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private |\n| SOT+MOT | 41.9 | 77.4 | 4235 | 59757 | 198 | public |\n| SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |\n| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public |",0]
["| PRI↑ | VoI↓ | BDE↓ | GCE↓ |  |\n| --- | --- | --- | --- | --- |\n| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |\n| CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 |","| HFEM | 0.7769 | 2.3067 | 10.6700 | 0.2215 |\n| --- | --- | --- | --- | --- |\n| MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |\n| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 |",1]
["| PRI↑ | VoI↓ | BDE↓ | GCE↓ |  |\n| --- | --- | --- | --- | --- |\n| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |\n| CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 |","| SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |\n| --- | --- | --- | --- | --- | --- | --- |\n| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public |",0]
["| Methods | 16bits32bits48bits64bits |\n| --- | --- |\n| VOC2007 |  |\n| Ours | 0.76720.80410.81470.8227 |\n| HNM | 0.75450.77680.80100.8030 |\n| Semi-hard | 0.73470.74420.75480.7655 |","| TripletH | 0.74340.77450.78580.7897 |\n| --- | --- |\n| StanfordDogs |  |\n| Ours | 0.67450.71010.72520.7293 |\n| HNM | 0.59050.67630.70570.7187 |\n| Semi-hard | 0.59330.66620.69670.7054 |\n| TripletH | 0.58890.64780.67440.6904 |\n| SUN397 |  |\n| Ours | 0.75050.80680.81520.8301 |\n| HNM | 0.71240.78010.79920.8142 |\n| Semi-hard | 0.71670.78090.80020.8097 |\n| TripletH | 0.68930.76600.79180.8027 |\n| CUB-200-2011 |  |\n| Ours | 0.51370.65190.68070.6949 |\n| HNM | 0.48340.57930.62170.6641 |\n| Semi-hard | 0.48590.60170.63460.6539 |\n| TripletH | 0.45080.55030.59630.6312 |",1]
["| Methods | 16bits32bits48bits64bits |\n| --- | --- |\n| VOC2007 |  |\n| Ours | 0.76720.80410.81470.8227 |\n| HNM | 0.75450.77680.80100.8030 |\n| Semi-hard | 0.73470.74420.75480.7655 |","| Methods | VOC2007(MAP)<br>16bits32bits48bits64bits | StanfordDogs(MAP)<br>16bits32bits48bits64bits | SUN397(MAP)<br>16bits32bits48bits64bits |\n| --- | --- | --- | --- |\n| Ours | 0.76720.80410.81470.8227 | 0.67450.71010.72520.7293 | 0.75050.80680.81520.8301 |\n| TripletH | 0.74340.77450.78580.7897 | 0.58890.64780.67440.6904 | 0.68930.76600.79180.8027 |\n| DSH | 0.70610.72340.71430.7116 | 0.49940.61340.64200.6453 | 0.59990.70310.75450.7725 |\n| MLH | 0.49900.50440.45660.4786 | 0.40530.50310.61350.6284 | 0.38060.46320.49880.5212 |\n| BRE | 0.61110.63230.64530.6517 | 0.24290.31580.36830.3936 | 0.25460.31850.35740.3675 |\n| ITQ | 0.57930.58080.57960.5723 | 0.32750.42560.46820.4977 | 0.28640.36230.38820.3955 |\n| SH | 0.44180.41750.40040.3835 | 0.24610.30760.35230.3714 | 0.20330.24350.24380.2391 |\n| LSH | 0.27200.30980.32730.3551 | 0.06290.12930.16900.2245 | 0.06580.11160.14120.1635 |",0]
["| Methods | 16bits32bits48bits64bits |\n| --- | --- |\n| VOC2007 |  |\n| Ours | 0.76720.80410.81470.8227 |\n| HNM | 0.75450.77680.80100.8030 |\n| Semi-hard | 0.73470.74420.75480.7655 |\n| TripletH | 0.74340.77450.78580.7897 |\n| StanfordDogs |  |\n| Ours | 0.67450.71010.72520.7293 |\n| HNM | 0.59050.67630.70570.7187 |\n| Semi-hard | 0.59330.66620.69670.7054 |\n| TripletH | 0.58890.64780.67440.6904 |\n| SUN397 |  |\n| Ours | 0.75050.80680.81520.8301 |\n| HNM | 0.71240.78010.79920.8142 |\n| Semi-hard | 0.71670.78090.80020.8097 |\n| TripletH | 0.68930.76600.79180.8027 |","| CUB-200-2011 |  |\n| --- | --- |\n| Ours | 0.51370.65190.68070.6949 |\n| HNM | 0.48340.57930.62170.6641 |\n| Semi-hard | 0.48590.60170.63460.6539 |\n| TripletH | 0.45080.55030.59630.6312 |",1]
["| Methods | 16bits32bits48bits64bits |\n| --- | --- |\n| VOC2007 |  |\n| Ours | 0.76720.80410.81470.8227 |\n| HNM | 0.75450.77680.80100.8030 |\n| Semi-hard | 0.73470.74420.75480.7655 |\n| TripletH | 0.74340.77450.78580.7897 |\n| StanfordDogs |  |\n| Ours | 0.67450.71010.72520.7293 |\n| HNM | 0.59050.67630.70570.7187 |\n| Semi-hard | 0.59330.66620.69670.7054 |\n| TripletH | 0.58890.64780.67440.6904 |\n| SUN397 |  |\n| Ours | 0.75050.80680.81520.8301 |\n| HNM | 0.71240.78010.79920.8142 |\n| Semi-hard | 0.71670.78090.80020.8097 |\n| TripletH | 0.68930.76600.79180.8027 |","| MLH | 0.49900.50440.45660.4786 | 0.40530.50310.61350.6284 | 0.38060.46320.49880.5212 |\n| --- | --- | --- | --- |\n| BRE | 0.61110.63230.64530.6517 | 0.24290.31580.36830.3936 | 0.25460.31850.35740.3675 |\n| ITQ | 0.57930.58080.57960.5723 | 0.32750.42560.46820.4977 | 0.28640.36230.38820.3955 |\n| SH | 0.44180.41750.40040.3835 | 0.24610.30760.35230.3714 | 0.20330.24350.24380.2391 |\n| LSH | 0.27200.30980.32730.3551 | 0.06290.12930.16900.2245 | 0.06580.11160.14120.1635 |",0]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |\n| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |\n| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |\n| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |\n| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |","| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |\n| 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |\n| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |\n| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |\n| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 |",1]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |\n| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |\n| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |\n| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |\n| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |","| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |\n| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |\n| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |\n| 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |\n| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |\n| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |\n| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |\n| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |\n| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |\n| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 |",0]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |\n| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |\n| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |\n| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |\n| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |\n| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |\n| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |","| 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |\n| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |\n| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 |",1]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |\n| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |\n| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |\n| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |\n| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |\n| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |\n| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |","| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |\n| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |\n| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 |",0]
["| Approach | deep |  |  |  |\n| --- | --- | --- | --- | --- |\n| RMSE | PR | CCC | RMSE | PR |","| target | 0.67 | .786 | .776 | 0.66 | .787 |\n| --- | --- | --- | --- | --- | --- |\n| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |\n| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |\n| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 |",1]
["| Approach | deep |  |  |  |\n| --- | --- | --- | --- | --- |\n| RMSE | PR | CCC | RMSE | PR |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Approach | deep |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RMSE | PR | CCC | RMSE | PR |  |\n| target | 0.67 | .786 | .776 | 0.66 | .787 |\n| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |","| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |\n| --- | --- | --- | --- | --- | --- |\n| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 |",1]
["| Approach | deep |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RMSE | PR | CCC | RMSE | PR |  |\n| target | 0.67 | .786 | .776 | 0.66 | .787 |\n| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| [V;V]peak−t−3 |\n| --- |\n| [V;V]t−3t−2 |\n| [V;V]t−2t−1 |\n| [V;V]t−1t |\n| [V;V]tt+1 |","| [V;V]t+1t+2 |\n| --- |\n| [V;V]t+2t+3 |\n| [V;V]t+3peak+ |",1]
["| [V;V]peak−t−3 |\n| --- |\n| [V;V]t−3t−2 |\n| [V;V]t−2t−1 |\n| [V;V]t−1t |\n| [V;V]tt+1 |","| Fig.No | T−T | m(E,t=0)t | Plotting |\n| --- | --- | --- | --- |\n| ?? | 20 | 1 | Pv.s(t,E) |\n| ?? | 20 | 1 | Pv.st |\n| ?? | 20 | 1 | mv.s(t,E)t |\n| ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |\n| ?? | 120 | 1 | Pv.st |\n| ?? | 120 | 1 | v(E,t=0)v.sEt |",0]
["| [V;V]peak−t−3 |\n| --- |\n| [V;V]t−3t−2 |","| [V;V]t−2t−1 |\n| --- |\n| [V;V]t−1t |\n| [V;V]tt+1 |\n| [V;V]t+1t+2 |\n| [V;V]t+2t+3 |\n| [V;V]t+3peak+ |",1]
["| [V;V]peak−t−3 |\n| --- |\n| [V;V]t−3t−2 |","| ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |\n| --- | --- | --- | --- |\n| ?? | 120 | 1 | Pv.st |\n| ?? | 120 | 1 | v(E,t=0)v.sEt |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |\n| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |\n| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |\n| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |\n| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |","| anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |\n| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |\n| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |\n| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |\n| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |\n| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |\n| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |\n| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |\n| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |\n| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |\n| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |\n| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |","| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |\n| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |\n| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |\n| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |\n| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |\n| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |","| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 |",0]
["| Name | N | M | var(A) | CLPA | LPA |\n| --- | --- | --- | --- | --- | --- |\n| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |\n| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 |","| HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |\n| --- | --- | --- | --- | --- | --- |\n| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |\n| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |\n| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |\n| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |\n| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 |\n| DBLP | 0.32M | 1.05M | 2.4 | 0.697 | 0.622 |\n| Amazon | 0.33M | 0.93M | 2.1 | 0.786 | 0.709 |\n| Youtube | 1.13M | 2.99M | 233.9 | 0.682 | 0.555 |",1]
["| Name | N | M | var(A) | CLPA | LPA |\n| --- | --- | --- | --- | --- | --- |\n| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |\n| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 |","| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["| Name | N | M | var(A) | CLPA | LPA |\n| --- | --- | --- | --- | --- | --- |\n| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |\n| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 |\n| HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |\n| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |\n| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |\n| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |\n| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |\n| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 |","| DBLP | 0.32M | 1.05M | 2.4 | 0.697 | 0.622 |\n| --- | --- | --- | --- | --- | --- |\n| Amazon | 0.33M | 0.93M | 2.1 | 0.786 | 0.709 |\n| Youtube | 1.13M | 2.99M | 233.9 | 0.682 | 0.555 |",1]
["| Name | N | M | var(A) | CLPA | LPA |\n| --- | --- | --- | --- | --- | --- |\n| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |\n| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 |\n| HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |\n| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |\n| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |\n| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |\n| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |\n| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 |","| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["| Description | Feature |\n| --- | --- |\n| Context | xxxxx12345 |\n| LeftContext | xx12 |\n| RightContext | xx45 |\n| CenterWordintrigram | x3 |","| CenterisClass | IsClass(x)3 |\n| --- | --- |\n| CenterisPreposition | IsPreposition(x)3 |\n| LeftisPreposition | IsPreposition(x)2 |",1]
["| Description | Feature |\n| --- | --- |\n| Context | xxxxx12345 |\n| LeftContext | xx12 |\n| RightContext | xx45 |\n| CenterWordintrigram | x3 |","| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| Description | Feature |\n| --- | --- |\n| Context | xxxxx12345 |","| LeftContext | xx12 |\n| --- | --- |\n| RightContext | xx45 |\n| CenterWordintrigram | x3 |\n| CenterisClass | IsClass(x)3 |\n| CenterisPreposition | IsPreposition(x)3 |\n| LeftisPreposition | IsPreposition(x)2 |",1]
["| Description | Feature |\n| --- | --- |\n| Context | xxxxx12345 |","| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| --- | --- |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |","| 5 | 0.077690 | 0.299270 | 0.041627 | 0.044040 | 4.285200 | 4.982500 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.081106 | 0.303860 | 0.044879 | 0.047900 | 4.001400 | 4.710200 |\n| 15 | 0.080859 | 0.304740 | 0.044368 | 0.048056 | 4.319300 | 5.013800 |\n| 20 | 0.086114 | 0.304760 | 0.045060 | 0.048703 | 3.853000 | 4.521800 |\n| 25 | 0.090683 | 0.306830 | 0.044147 | 0.046658 | 4.439000 | 5.129100 |\n| 30 | 0.095251 | 0.306230 | 0.045137 | 0.048883 | 4.748100 | 5.269300 |",1]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |","| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |  |\n| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |\n| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |\n| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |\n| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |\n| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 |",0]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |","| 5 | 0.077690 | 0.299270 | 0.041627 | 0.044040 | 4.285200 | 4.982500 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.081106 | 0.303860 | 0.044879 | 0.047900 | 4.001400 | 4.710200 |\n| 15 | 0.080859 | 0.304740 | 0.044368 | 0.048056 | 4.319300 | 5.013800 |\n| 20 | 0.086114 | 0.304760 | 0.045060 | 0.048703 | 3.853000 | 4.521800 |\n| 25 | 0.090683 | 0.306830 | 0.044147 | 0.046658 | 4.439000 | 5.129100 |\n| 30 | 0.095251 | 0.306230 | 0.045137 | 0.048883 | 4.748100 | 5.269300 |",1]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |","| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |\n| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |\n| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 |",0]
["| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |\n| --- | --- | --- | --- |\n| QueriesRelatedtoDemocraticCandidates |  |  |  |\n| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 |\n| Average | 0.52 | 0.38 | 0.14 |\n| QueriesRelatedtoRepublicanCandidates |  |  |  |\n| DonaldTrump<br>TedCruz<br>MarcoRubio<br>BenCarson<br>ChrisChristie<br>JebBush<br>RandPaul<br>CarlyFiorina<br>JohnKasich<br>MikeHuckabee<br>RickSantorum<br>LindseyGraham<br>GeorgePataki<br>JimGilmore | 0.29<br>−0.48<br>−0.41<br>0.46<br>−0.14<br>−0.31<br>−0.37<br>0.16<br>−0.09<br>0.30<br>−0.04<br>−0.45<br>−0.17<br>−0.35 | 0.19<br>−0.11<br>−0.12<br>0.20<br>0.27<br>0.09<br>−0.18<br>0.38<br>−0.13<br>0.12<br>0.18<br>0.07<br>0.09<br>−0.11 | 0.10<br>−0.37<br>−0.29<br>0.26<br>−0.41<br>−0.40<br>−0.19<br>−0.22<br>0.04<br>0.18<br>−0.22<br>−0.52<br>−0.26<br>−0.24 |\n| Average | −0.11 | 0.07 | −0.18 |\n| Queriesrelatedtodemocraticdebate |  |  |  |\n| democraticdebate<br>demdebate<br>#democraticdebate<br>#demdebate | 0.43<br>0.52<br>0.28<br>0.57 | 0.38<br>0.29<br>0.19<br>0.56 | 0.05<br>0.23<br>0.07<br>0.01 |","| Average | 0.45 | 0.35 | 0.10 |\n| --- | --- | --- | --- |\n| Queriesrelatedtorepublicandebate |  |  |  |\n| republicandebate<br>repdebate<br>#republicandebate<br>#gopdebate | 0.53<br>0.31<br>0.39<br>0.04 | 0.27<br>0.40<br>0.34<br>0.10 | 0.26<br>−0.09<br>0.05<br>−0.06 |\n| Average | 0.32 | 0.28 | 0.04 |",1]
["| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |\n| --- | --- | --- | --- |\n| QueriesRelatedtoDemocraticCandidates |  |  |  |\n| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 |\n| Average | 0.52 | 0.38 | 0.14 |\n| QueriesRelatedtoRepublicanCandidates |  |  |  |\n| DonaldTrump<br>TedCruz<br>MarcoRubio<br>BenCarson<br>ChrisChristie<br>JebBush<br>RandPaul<br>CarlyFiorina<br>JohnKasich<br>MikeHuckabee<br>RickSantorum<br>LindseyGraham<br>GeorgePataki<br>JimGilmore | 0.29<br>−0.48<br>−0.41<br>0.46<br>−0.14<br>−0.31<br>−0.37<br>0.16<br>−0.09<br>0.30<br>−0.04<br>−0.45<br>−0.17<br>−0.35 | 0.19<br>−0.11<br>−0.12<br>0.20<br>0.27<br>0.09<br>−0.18<br>0.38<br>−0.13<br>0.12<br>0.18<br>0.07<br>0.09<br>−0.11 | 0.10<br>−0.37<br>−0.29<br>0.26<br>−0.41<br>−0.40<br>−0.19<br>−0.22<br>0.04<br>0.18<br>−0.22<br>−0.52<br>−0.26<br>−0.24 |\n| Average | −0.11 | 0.07 | −0.18 |\n| Queriesrelatedtodemocraticdebate |  |  |  |\n| democraticdebate<br>demdebate<br>#democraticdebate<br>#demdebate | 0.43<br>0.52<br>0.28<br>0.57 | 0.38<br>0.29<br>0.19<br>0.56 | 0.05<br>0.23<br>0.07<br>0.01 |","| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | romney | romney |\n| obama | romney | romney | obama | mitt |\n| debate | bin | debate | mitt | obama |\n| mitt | laden | won | not | gt |\n| foreign | mitt | poll | president | plan |\n| policy | bayonets | president | like | like |\n| president | horses | cbs | amp | point |\n| not | debate | think | get | let |\n| said | said | mitt | vote | policy |\n| presidential | won | news | don | foreign |\n| barack | fewer | cnn | people | romneys |\n| like | navy | tie | know | ﬁve |\n| iran | say | wins | election | left |\n| won | fact | barack | tonight | president |\n| ﬁnal | like | vote | one | take |",0]
["| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |\n| --- | --- | --- | --- |\n| QueriesRelatedtoDemocraticCandidates |  |  |  |\n| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 |","| Average | 0.52 | 0.38 | 0.14 |\n| --- | --- | --- | --- |\n| QueriesRelatedtoRepublicanCandidates |  |  |  |\n| DonaldTrump<br>TedCruz<br>MarcoRubio<br>BenCarson<br>ChrisChristie<br>JebBush<br>RandPaul<br>CarlyFiorina<br>JohnKasich<br>MikeHuckabee<br>RickSantorum<br>LindseyGraham<br>GeorgePataki<br>JimGilmore | 0.29<br>−0.48<br>−0.41<br>0.46<br>−0.14<br>−0.31<br>−0.37<br>0.16<br>−0.09<br>0.30<br>−0.04<br>−0.45<br>−0.17<br>−0.35 | 0.19<br>−0.11<br>−0.12<br>0.20<br>0.27<br>0.09<br>−0.18<br>0.38<br>−0.13<br>0.12<br>0.18<br>0.07<br>0.09<br>−0.11 | 0.10<br>−0.37<br>−0.29<br>0.26<br>−0.41<br>−0.40<br>−0.19<br>−0.22<br>0.04<br>0.18<br>−0.22<br>−0.52<br>−0.26<br>−0.24 |\n| Average | −0.11 | 0.07 | −0.18 |\n| Queriesrelatedtodemocraticdebate |  |  |  |\n| democraticdebate<br>demdebate<br>#democraticdebate<br>#demdebate | 0.43<br>0.52<br>0.28<br>0.57 | 0.38<br>0.29<br>0.19<br>0.56 | 0.05<br>0.23<br>0.07<br>0.01 |\n| Average | 0.45 | 0.35 | 0.10 |\n| Queriesrelatedtorepublicandebate |  |  |  |\n| republicandebate<br>repdebate<br>#republicandebate<br>#gopdebate | 0.53<br>0.31<br>0.39<br>0.04 | 0.27<br>0.40<br>0.34<br>0.10 | 0.26<br>−0.09<br>0.05<br>−0.06 |\n| Average | 0.32 | 0.28 | 0.04 |",1]
["| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |\n| --- | --- | --- | --- |\n| QueriesRelatedtoDemocraticCandidates |  |  |  |\n| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 |","| debate | bin | debate | mitt | obama |\n| --- | --- | --- | --- | --- |\n| mitt | laden | won | not | gt |\n| foreign | mitt | poll | president | plan |\n| policy | bayonets | president | like | like |\n| president | horses | cbs | amp | point |\n| not | debate | think | get | let |\n| said | said | mitt | vote | policy |\n| presidential | won | news | don | foreign |\n| barack | fewer | cnn | people | romneys |\n| like | navy | tie | know | ﬁve |\n| iran | say | wins | election | left |\n| won | fact | barack | tonight | president |\n| ﬁnal | like | vote | one | take |",0]
["| FK | OGR | ZK |  |  |\n| --- | --- | --- | --- | --- |\n| I1 | G1 | 10.00 | 17.35 | 21.50 |\n|  | G2 | 5.80 | 12.31 | 17.18 |\n|  | G3 | 9.10 | 16.19 | 20.43 |\n|  | G4 | 5.80 | 17.10 | 26.03 |","| I2 | G1 | 5.80 | 14.09 | 17.67 |\n| --- | --- | --- | --- | --- |\n|  | G2 | 9.10 | 19.56 | 24.45 |\n|  | G3 | 10.00 | 15.89 | 25.45 |\n|  | G4 | 12.35 | 15.32 | 32.62 |\n| I3 | G1 | 12.41 | 17.36 | 20.88 |\n|  | G2 | 10.10 | 18.65 | 24.26 |\n|  | G3 | 9.24 | 10.62 | 20.66 |\n|  | G4 | 5.72 | 13.40 | 20.40 |",1]
["| FK | OGR | ZK |  |  |\n| --- | --- | --- | --- | --- |\n| I1 | G1 | 10.00 | 17.35 | 21.50 |\n|  | G2 | 5.80 | 12.31 | 17.18 |\n|  | G3 | 9.10 | 16.19 | 20.43 |\n|  | G4 | 5.80 | 17.10 | 26.03 |","| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |\n| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |\n| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |\n| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |\n| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |\n| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |\n| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",0]
["| FK | OGR | ZK |  |  |\n| --- | --- | --- | --- | --- |\n| I1 | G1 | 10.00 | 17.35 | 21.50 |\n|  | G2 | 5.80 | 12.31 | 17.18 |\n|  | G3 | 9.10 | 16.19 | 20.43 |\n|  | G4 | 5.80 | 17.10 | 26.03 |\n| I2 | G1 | 5.80 | 14.09 | 17.67 |\n|  | G2 | 9.10 | 19.56 | 24.45 |\n|  | G3 | 10.00 | 15.89 | 25.45 |\n|  | G4 | 12.35 | 15.32 | 32.62 |\n| I3 | G1 | 12.41 | 17.36 | 20.88 |","|  | G2 | 10.10 | 18.65 | 24.26 |\n| --- | --- | --- | --- | --- |\n|  | G3 | 9.24 | 10.62 | 20.66 |\n|  | G4 | 5.72 | 13.40 | 20.40 |",1]
["| FK | OGR | ZK |  |  |\n| --- | --- | --- | --- | --- |\n| I1 | G1 | 10.00 | 17.35 | 21.50 |\n|  | G2 | 5.80 | 12.31 | 17.18 |\n|  | G3 | 9.10 | 16.19 | 20.43 |\n|  | G4 | 5.80 | 17.10 | 26.03 |\n| I2 | G1 | 5.80 | 14.09 | 17.67 |\n|  | G2 | 9.10 | 19.56 | 24.45 |\n|  | G3 | 10.00 | 15.89 | 25.45 |\n|  | G4 | 12.35 | 15.32 | 32.62 |\n| I3 | G1 | 12.41 | 17.36 | 20.88 |","| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |\n| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |\n| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |\n| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",0]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |\n| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |\n| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |\n| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |\n| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |\n| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 |","| Deepwalk(hete) | 0.7858 | 0.8065 | 0.7951 | 0.7962 | Deepwalk(hete) | 0.7648 | 0.7867 | 0.7757 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Line(hete) | 0.7928 | 0.8131 | 0.7903 | 0.7866 | Line(hete) | 0.7928 | 0.7927 | 0.7663 |\n| Node2vec(hete) | 0.8172 | 0.8131 | 0.8064 | 0.7920 | Node2vec(hete) | 0.7957 | 0.7948 | 0.7836 |\n| GERI | 0.8559 | 0.8641 | 0.8700 | 0.8637 | GERI | 0.8423 | 0.8508 | 0.8582 |",1]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |\n| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |\n| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |\n| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |\n| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |\n| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 |","| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |\n| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |\n| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |\n| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",0]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |\n| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |\n| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |\n| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |\n| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |\n| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 |\n| Deepwalk(hete) | 0.7858 | 0.8065 | 0.7951 | 0.7962 | Deepwalk(hete) | 0.7648 | 0.7867 | 0.7757 |","| Line(hete) | 0.7928 | 0.8131 | 0.7903 | 0.7866 | Line(hete) | 0.7928 | 0.7927 | 0.7663 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Node2vec(hete) | 0.8172 | 0.8131 | 0.8064 | 0.7920 | Node2vec(hete) | 0.7957 | 0.7948 | 0.7836 |\n| GERI | 0.8559 | 0.8641 | 0.8700 | 0.8637 | GERI | 0.8423 | 0.8508 | 0.8582 |",1]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |\n| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |\n| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |\n| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |\n| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |\n| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 |\n| Deepwalk(hete) | 0.7858 | 0.8065 | 0.7951 | 0.7962 | Deepwalk(hete) | 0.7648 | 0.7867 | 0.7757 |","| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |\n| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",0]
["| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |","| (b)Two-Stream | 48M | 1rgb,10ﬂow | 0.4s | 25rgb,250ﬂow |\n| --- | --- | --- | --- | --- |\n| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |",1]
["| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |","| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |\n| 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |\n| Two-Stream | 12M | 1rgb,10ﬂow | 0.4s | 25rgb,250ﬂow |\n| 3D-Fused | 39M | 5rgb,50ﬂow | 2s | 25rgb,250ﬂow |\n| Two-StreamI3D | 25M | 64rgb,64ﬂow | 2.56s | 250rgb,250ﬂow |",0]
["| Method | #Params | Training |\n| --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |","| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |\n| --- | --- | --- | --- | --- |\n| (b)Two-Stream | 48M | 1rgb,10ﬂow | 0.4s | 25rgb,250ﬂow |\n| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |",1]
["| Method | #Params | Training |\n| --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |","| 3D-Fused | 39M | 5rgb,50ﬂow | 2s | 25rgb,250ﬂow |\n| --- | --- | --- | --- | --- |\n| Two-StreamI3D | 25M | 64rgb,64ﬂow | 2.56s | 250rgb,250ﬂow |",0]
["| Algorithm | Precision | Recall | F-measure | Timecost |\n| --- | --- | --- | --- | --- |\n| Proposed | 0.83 | 0.67 | 0.74 | 2.1s |\n| Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |\n| Kangetal. | 0.71 | 0.62 | 0.66 | - |","| Yinetal. | 0.71 | 0.61 | 0.65 | 0.8s |\n| --- | --- | --- | --- | --- |\n| Yaoetal. | 0.63 | 0.63 | 0.60 | 7.2s |",1]
["| Algorithm | Precision | Recall | F-measure | Timecost |\n| --- | --- | --- | --- | --- |\n| Proposed | 0.83 | 0.67 | 0.74 | 2.1s |\n| Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |\n| Kangetal. | 0.71 | 0.62 | 0.66 | - |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.77 | 0.70 | 0.74 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",0]
["| Algorithm | Precision | Recall | F-measure | Timecost |\n| --- | --- | --- | --- | --- |\n| Proposed | 0.83 | 0.67 | 0.74 | 2.1s |","| Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |\n| --- | --- | --- | --- | --- |\n| Kangetal. | 0.71 | 0.62 | 0.66 | - |\n| Yinetal. | 0.71 | 0.61 | 0.65 | 0.8s |\n| Yaoetal. | 0.63 | 0.63 | 0.60 | 7.2s |",1]
["| Algorithm | Precision | Recall | F-measure | Timecost |\n| --- | --- | --- | --- | --- |\n| Proposed | 0.83 | 0.67 | 0.74 | 2.1s |","| Yinetal. | 0.81 | 0.63 | 0.71 |\n| --- | --- | --- | --- |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",0]
["| N | Co-locationRule | ExpSup | ExpConf |\n| --- | --- | --- | --- |\n| 1 | C→D1 | 763.1 | 0.41 |\n| 2 | C→D2 | 765.8 | 0.42 |\n| 3 | C→D3 | 717.1 | 0.26 |\n| 4 | C→D4 | 807.8 | 0.30 |\n| 5 | C→D5 | 1,256.6 | 0.34 |\n| 6 | C+C→D12 | 432.8 | 0.50 |\n| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 |\n| 8 | C+C→D15 | 10.6 | 0.49 |\n| 9 | C+C→D24 | 0.4 | 0.49 |\n| 10 | C+C→D25 | 14.4 | 0.44 |","| 11 | C+C→D34 | 390.5 | 0.53 |\n| --- | --- | --- | --- |\n| 12 | C+C→D56 | 2.8 | 0.08 |\n| 13 | C+C+C→D124 | −4<br>4.8·10 | 0.83 |\n| 14 | C+C+C→D125 | 7.9 | 0.51 |",1]
["| N | Co-locationRule | ExpSup | ExpConf |\n| --- | --- | --- | --- |\n| 1 | C→D1 | 763.1 | 0.41 |\n| 2 | C→D2 | 765.8 | 0.42 |\n| 3 | C→D3 | 717.1 | 0.26 |\n| 4 | C→D4 | 807.8 | 0.30 |\n| 5 | C→D5 | 1,256.6 | 0.34 |\n| 6 | C+C→D12 | 432.8 | 0.50 |\n| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 |\n| 8 | C+C→D15 | 10.6 | 0.49 |\n| 9 | C+C→D24 | 0.4 | 0.49 |\n| 10 | C+C→D25 | 14.4 | 0.44 |","| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| N | Co-locationRule | ExpSup | ExpConf |\n| --- | --- | --- | --- |\n| 1 | C→D1 | 763.1 | 0.41 |\n| 2 | C→D2 | 765.8 | 0.42 |\n| 3 | C→D3 | 717.1 | 0.26 |\n| 4 | C→D4 | 807.8 | 0.30 |\n| 5 | C→D5 | 1,256.6 | 0.34 |\n| 6 | C+C→D12 | 432.8 | 0.50 |\n| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 |","| 8 | C+C→D15 | 10.6 | 0.49 |\n| --- | --- | --- | --- |\n| 9 | C+C→D24 | 0.4 | 0.49 |\n| 10 | C+C→D25 | 14.4 | 0.44 |\n| 11 | C+C→D34 | 390.5 | 0.53 |\n| 12 | C+C→D56 | 2.8 | 0.08 |\n| 13 | C+C+C→D124 | −4<br>4.8·10 | 0.83 |\n| 14 | C+C+C→D125 | 7.9 | 0.51 |",1]
["| N | Co-locationRule | ExpSup | ExpConf |\n| --- | --- | --- | --- |\n| 1 | C→D1 | 763.1 | 0.41 |\n| 2 | C→D2 | 765.8 | 0.42 |\n| 3 | C→D3 | 717.1 | 0.26 |\n| 4 | C→D4 | 807.8 | 0.30 |\n| 5 | C→D5 | 1,256.6 | 0.34 |\n| 6 | C+C→D12 | 432.8 | 0.50 |\n| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 |","| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| --- | --- | --- | --- | --- | --- |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["|  | Base | DP | IKE-PSK | IKE-CPK |\n| --- | --- | --- | --- | --- |\n| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 |","| (B) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| (C) |  |  |  |  |\n| (F) |  |  |  |  |\n| AccessToken | 172 | 283 | 305 | 931 |",1]
["|  | Base | DP | IKE-PSK | IKE-CPK |\n| --- | --- | --- | --- | --- |\n| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 |","|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | NCS | Joule |  |  |  |  |  |\n| NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |\n| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 |\n| HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |\n| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |\n| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 |",0]
["|  | Base | DP | IKE-PSK | IKE-CPK |\n| --- | --- | --- | --- | --- |\n| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 |\n| (B) |  |  |  |  |\n| (C) |  |  |  |  |","| (F) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| AccessToken | 172 | 283 | 305 | 931 |",1]
["|  | Base | DP | IKE-PSK | IKE-CPK |\n| --- | --- | --- | --- | --- |\n| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 |\n| (B) |  |  |  |  |\n| (C) |  |  |  |  |","| HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |\n| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 |",0]
["| Method | Dim | mAP |\n| --- | --- | --- |\n| Rawpatch | 4,761 | 34.79 |\n| SIFT | 128 | 45.32 |\n| DSP-SIFT | 128 | 53.72 |\n| CNN-L3 | 9,216 | 48.99 |","| CNN-L4 | 8,192 | 50.55 |\n| --- | --- | --- |\n| DSP-CNN-L3 | 9,216 | 52.76 |\n| DSP-CNN-L4 | 8,192 | 53.07 |\n| DSP-CNN-L3-L4 | 17,408 | 53.74 |\n| DSP-CNN-L3(PCA128) | 128 | 51.45 |\n| DSP-CNN-L4(PCA128) | 128 | 52.33 |\n| DSP-CNN-L34(concat.PCA128) | 256 | 52.69 |",1]
["| Method | Dim | mAP |\n| --- | --- | --- |\n| Rawpatch | 4,761 | 34.79 |\n| SIFT | 128 | 45.32 |\n| DSP-SIFT | 128 | 53.72 |\n| CNN-L3 | 9,216 | 48.99 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["| Method | Dim | mAP |\n| --- | --- | --- |\n| Rawpatch | 4,761 | 34.79 |\n| SIFT | 128 | 45.32 |\n| DSP-SIFT | 128 | 53.72 |\n| CNN-L3 | 9,216 | 48.99 |\n| CNN-L4 | 8,192 | 50.55 |\n| DSP-CNN-L3 | 9,216 | 52.76 |\n| DSP-CNN-L4 | 8,192 | 53.07 |\n| DSP-CNN-L3-L4 | 17,408 | 53.74 |","| DSP-CNN-L3(PCA128) | 128 | 51.45 |\n| --- | --- | --- |\n| DSP-CNN-L4(PCA128) | 128 | 52.33 |\n| DSP-CNN-L34(concat.PCA128) | 256 | 52.69 |",1]
["| Method | Dim | mAP |\n| --- | --- | --- |\n| Rawpatch | 4,761 | 34.79 |\n| SIFT | 128 | 45.32 |\n| DSP-SIFT | 128 | 53.72 |\n| CNN-L3 | 9,216 | 48.99 |\n| CNN-L4 | 8,192 | 50.55 |\n| DSP-CNN-L3 | 9,216 | 52.76 |\n| DSP-CNN-L4 | 8,192 | 53.07 |\n| DSP-CNN-L3-L4 | 17,408 | 53.74 |","| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |\n| --- | --- | --- | --- | --- | --- | --- |\n| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |\n| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |","| Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ConvLSTM-nt | 8.6 | 16.9 | 14.6 | 15.4 | 4.0 | 11.9 |\n| ConvLSTM | 7.1 | 15.2 | 15.2 | 13.9 | 3.5 | 10.9 |\n| BidirectionalConvLSTM | 6.8 | 14.5 | 14.9 | 13.5 | 3.1 | 10.6 |",1]
["| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |\n| --- | --- | --- | --- | --- | --- | --- |\n| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |\n| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 2.24 | 7.97 |\n| Ridgeregression | 2.25 | 7.82 |\n| Cumulativeattributeregression | 2.07 | 6.90 |\n| Densitymap+MESA | 1.70 | - |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |\n| HydraCNN | 1.65 | - |\n| CNNboosting | 1.10 | - |\n| ConvLSTM-nt | 1.73 | 3.52 |\n| ConvLSTM | 1.30 | 1.79 |\n| BidirectionalConvLSTM | 1.13 | 1.43 |",0]
["| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |\n| --- | --- | --- | --- | --- | --- | --- |\n| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |\n| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |\n| Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 |","| ConvLSTM-nt | 8.6 | 16.9 | 14.6 | 15.4 | 4.0 | 11.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ConvLSTM | 7.1 | 15.2 | 15.2 | 13.9 | 3.5 | 10.9 |\n| BidirectionalConvLSTM | 6.8 | 14.5 | 14.9 | 13.5 | 3.1 | 10.6 |",1]
["| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |\n| --- | --- | --- | --- | --- | --- | --- |\n| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |\n| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |\n| Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 |","| Cumulativeattributeregression | 2.07 | 6.90 |\n| --- | --- | --- |\n| Densitymap+MESA | 1.70 | - |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |\n| HydraCNN | 1.65 | - |\n| CNNboosting | 1.10 | - |\n| ConvLSTM-nt | 1.73 | 3.52 |\n| ConvLSTM | 1.30 | 1.79 |\n| BidirectionalConvLSTM | 1.13 | 1.43 |",0]
["| Numberofpairsexcluded |  |\n| --- | --- |\n| EdgeThreshold(60 | 3398 |\n| 65 | 3440 |\n| 70 | 3428 |\n| 75 | 3409 |\n| 80 | 2696 |\n| 85 | 2409 |","| 90 | 1837 |\n| --- | --- |\n| 95 | 1707 |",1]
["| Numberofpairsexcluded |  |\n| --- | --- |\n| EdgeThreshold(60 | 3398 |\n| 65 | 3440 |\n| 70 | 3428 |\n| 75 | 3409 |\n| 80 | 2696 |\n| 85 | 2409 |","|  | Max | Ave | Min |\n| --- | --- | --- | --- |\n| Numberofnodes | 43,545 | 41,978 | 40,445 |\n| Numberofedges | 84,451 | 82,790 | 80,923 |\n| Diameter | 13 | 11 | 9 |\n| Averageshortestpathlength | 8.31 | 5.97 | 4.71 |\n| Numberofclusters | 223 | 148 | 103 |",0]
["| Numberofpairsexcluded |  |\n| --- | --- |\n| EdgeThreshold(60 | 3398 |\n| 65 | 3440 |\n| 70 | 3428 |","| 75 | 3409 |\n| --- | --- |\n| 80 | 2696 |\n| 85 | 2409 |\n| 90 | 1837 |\n| 95 | 1707 |",1]
["| Numberofpairsexcluded |  |\n| --- | --- |\n| EdgeThreshold(60 | 3398 |\n| 65 | 3440 |\n| 70 | 3428 |","| Averageshortestpathlength | 8.31 | 5.97 | 4.71 |\n| --- | --- | --- | --- |\n| Numberofclusters | 223 | 148 | 103 |",0]
["|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |","| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| --- | --- | --- | --- | --- | --- |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",1]
["|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |","|  | L1dline | DRAMpage | VMpage | VMsuperpage |\n| --- | --- | --- | --- | --- |\n| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |\n| BFS | 0.36 | 0.43 | 0.26 | 0.07 |\n| DFS | 0.33 | 0.23 | 0.19 | 0.11 |\n| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",0]
["|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |","| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| --- | --- | --- | --- | --- | --- |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",1]
["|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |","| BFS | 0.36 | 0.43 | 0.26 | 0.07 |\n| --- | --- | --- | --- | --- |\n| DFS | 0.33 | 0.23 | 0.19 | 0.11 |\n| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",0]
["| λ | Sims<br>z=1 | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.19356 | 1.19369 | 1.12886 |\n| 0.60 | 1.28239 | 1.28254 | 1.17987 |\n| 0.70 | 1.40813 | 1.40828 | 1.25888 |\n| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |\n| 0.95 | 2.33613 | 2.33539 | 2.68138 |\n| 0.96 | 2.48165 | 2.48041 | 3.10314 |","| 0.97 | 2.69113 | 2.68903 | 3.80509 |\n| --- | --- | --- | --- |\n| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",1]
["| λ | Sims<br>z=1 | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.19356 | 1.19369 | 1.12886 |\n| 0.60 | 1.28239 | 1.28254 | 1.17987 |\n| 0.70 | 1.40813 | 1.40828 | 1.25888 |\n| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |\n| 0.95 | 2.33613 | 2.33539 | 2.68138 |\n| 0.96 | 2.48165 | 2.48041 | 3.10314 |","| λ | Sims<br>JIQ-SQ(2) | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.01029 | 1.01033 | 1.12886 |\n| 0.60 | 1.02377 | 1.02379 | 1.17987 |\n| 0.70 | 1.05558 | 1.05557 | 1.25888 |\n| 0.80 | 1.14044 | 1.14027 | 1.40787 |\n| 0.90 | 1.46106 | 1.46035 | 1.83712 |\n| 0.95 | 2.19241 | 2.19045 | 2.68138 |\n| 0.96 | 2.57696 | 2.57420 | 3.10314 |\n| 0.97 | 3.23186 | 3.22894 | 3.80509 |\n| 0.98 | 4.57810 | 4.57186 | 5.20555 |\n| 0.99 | 8.71553 | 8.70009 | 9.40217 |",0]
["| λ | Sims<br>z=1 | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.19356 | 1.19369 | 1.12886 |\n| 0.60 | 1.28239 | 1.28254 | 1.17987 |\n| 0.70 | 1.40813 | 1.40828 | 1.25888 |\n| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |","| 0.95 | 2.33613 | 2.33539 | 2.68138 |\n| --- | --- | --- | --- |\n| 0.96 | 2.48165 | 2.48041 | 3.10314 |\n| 0.97 | 2.69113 | 2.68903 | 3.80509 |\n| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",1]
["| λ | Sims<br>z=1 | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.19356 | 1.19369 | 1.12886 |\n| 0.60 | 1.28239 | 1.28254 | 1.17987 |\n| 0.70 | 1.40813 | 1.40828 | 1.25888 |\n| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |","| 0.90 | 1.46106 | 1.46035 | 1.83712 |\n| --- | --- | --- | --- |\n| 0.95 | 2.19241 | 2.19045 | 2.68138 |\n| 0.96 | 2.57696 | 2.57420 | 3.10314 |\n| 0.97 | 3.23186 | 3.22894 | 3.80509 |\n| 0.98 | 4.57810 | 4.57186 | 5.20555 |\n| 0.99 | 8.71553 | 8.70009 | 9.40217 |",0]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[A] | 2.135×10 | 1 | 70 |\n| EX[A] | 2.135×10 | 2 | 67 |","| EX[A] | 2.135×10 | 4 | 50 |\n| --- | --- | --- | --- |\n| EX[A] | 2.135×10 | 8 | 38 |\n| EG[A] | 0 | 1 | 67 |\n| EG[A] | 0 | 2 | 55 |\n| EG[A] | 0 | 4 | 58 |\n| E[TrueUA] | 6<br>1.831×10 | 1 | 1898 |\n| E[TrueUA] | 1.831×10 | 2 | 1124 |\n| E[TrueUA] | 1.831×10 | 4 | 839 |\n| E[TrueUA] | 1.831×10 | 8 | 564 |\n| E[TrueUA] | 1.831×10 | 16 | 509 |",1]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[A] | 2.135×10 | 1 | 70 |\n| EX[A] | 2.135×10 | 2 | 67 |","| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 1 | 2908 |\n| EX[H] | 1.716×10 | 2 | 2401 |\n| EX[H] | 1.716×10 | 4 | 937 |\n| EX[H] | 1.716×10 | 8 | 693 |\n| EX[H] | 1.716×10 | 16 | 251 |\n| EG[J] | 8<br>4.060×10 | 1 | 21678 |\n| EG[J] | 4.060×10 | 2 | 17147 |\n| EG[J] | 4.060×10 | 4 | 6525 |\n| EG[J] | 4.060×10 | 8 | 2983 |\n| EG[J] | 4.060×10 | 16 | 1226 |\n| E[KUH] | 7<br>7.524×10 | 1 | 1821 |\n| E[KUH] | 7.524×10 | 2 | 1714 |\n| E[KUH] | 7.524×10 | 4 | 602 |\n| E[KUH] | 7.524×10 | 8 | 377 |\n| E[KUH] | 7.524×10 | 16 | 203 |",0]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[A] | 2.135×10 | 1 | 70 |\n| EX[A] | 2.135×10 | 2 | 67 |\n| EX[A] | 2.135×10 | 4 | 50 |\n| EX[A] | 2.135×10 | 8 | 38 |\n| EG[A] | 0 | 1 | 67 |\n| EG[A] | 0 | 2 | 55 |\n| EG[A] | 0 | 4 | 58 |\n| E[TrueUA] | 6<br>1.831×10 | 1 | 1898 |","| E[TrueUA] | 1.831×10 | 2 | 1124 |\n| --- | --- | --- | --- |\n| E[TrueUA] | 1.831×10 | 4 | 839 |\n| E[TrueUA] | 1.831×10 | 8 | 564 |\n| E[TrueUA] | 1.831×10 | 16 | 509 |",1]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[A] | 2.135×10 | 1 | 70 |\n| EX[A] | 2.135×10 | 2 | 67 |\n| EX[A] | 2.135×10 | 4 | 50 |\n| EX[A] | 2.135×10 | 8 | 38 |\n| EG[A] | 0 | 1 | 67 |\n| EG[A] | 0 | 2 | 55 |\n| EG[A] | 0 | 4 | 58 |\n| E[TrueUA] | 6<br>1.831×10 | 1 | 1898 |","| EX[H] | 1.716×10 | 4 | 937 |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 8 | 693 |\n| EX[H] | 1.716×10 | 16 | 251 |\n| EG[J] | 8<br>4.060×10 | 1 | 21678 |\n| EG[J] | 4.060×10 | 2 | 17147 |\n| EG[J] | 4.060×10 | 4 | 6525 |\n| EG[J] | 4.060×10 | 8 | 2983 |\n| EG[J] | 4.060×10 | 16 | 1226 |\n| E[KUH] | 7<br>7.524×10 | 1 | 1821 |\n| E[KUH] | 7.524×10 | 2 | 1714 |\n| E[KUH] | 7.524×10 | 4 | 602 |\n| E[KUH] | 7.524×10 | 8 | 377 |\n| E[KUH] | 7.524×10 | 16 | 203 |",0]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 39 | 96 | 82 | 0.289 | 0.322 | 0.305 |\n| 8024 | 96 | 29 | 10 | 0.768 | 0.906 | 0.831 |\n| 8386 | 114 | 5 | 4 | 0.958 | 0.966 | 0.962 |\n| 8401 | 30 | 8 | 1 | 0.789 | 0.968 | 0.87 |\n| 10558a | 125 | 1 | 5 | 0.992 | 0.962 | 0.977 |","| 23585a | 159 | 8 | 6 | 0.952 | 0.964 | 0.958 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 23585b | 103 | 4 | 1 | 0.963 | 0.99 | 0.976 |\n| 34921a | 71 | 6 | 4 | 0.922 | 0.947 | 0.934 |\n| 34921b | 91 | 11 | 8 | 0.892 | 0.919 | 0.905 |\n| 36553 | 202 | 26 | 12 | 0.886 | 0.944 | 0.914 |\n| 50009 | 53 | 29 | 5 | 0.646 | 0.914 | 0.757 |\n| 50028 | 89 | 18 | 4 | 0.832 | 0.957 | 0.89 |\n| UGS01 | 171 | 12 | 5 | 0.934 | 0.972 | 0.953 |\n| UGS04 | 222 | 15 | 1 | 0.937 | 0.996 | 0.965 |\n| UGS05 | 26 | 21 | 4 | 0.553 | 0.867 | 0.675 |\n| UGS09 | 176 | 17 | 17 | 0.912 | 0.912 | 0.912 |\n| Total | 1827 | 313 | 173 | 0.854 | 0.913 | 0.883 |",1]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 39 | 96 | 82 | 0.289 | 0.322 | 0.305 |\n| 8024 | 96 | 29 | 10 | 0.768 | 0.906 | 0.831 |\n| 8386 | 114 | 5 | 4 | 0.958 | 0.966 | 0.962 |\n| 8401 | 30 | 8 | 1 | 0.789 | 0.968 | 0.87 |\n| 10558a | 125 | 1 | 5 | 0.992 | 0.962 | 0.977 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |","| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 6011 | 39 | 96 | 82 | 0.289 | 0.322 | 0.305 |\n| 8024 | 96 | 29 | 10 | 0.768 | 0.906 | 0.831 |\n| 8386 | 114 | 5 | 4 | 0.958 | 0.966 | 0.962 |\n| 8401 | 30 | 8 | 1 | 0.789 | 0.968 | 0.87 |\n| 10558a | 125 | 1 | 5 | 0.992 | 0.962 | 0.977 |\n| 23585a | 159 | 8 | 6 | 0.952 | 0.964 | 0.958 |\n| 23585b | 103 | 4 | 1 | 0.963 | 0.99 | 0.976 |\n| 34921a | 71 | 6 | 4 | 0.922 | 0.947 | 0.934 |\n| 34921b | 91 | 11 | 8 | 0.892 | 0.919 | 0.905 |\n| 36553 | 202 | 26 | 12 | 0.886 | 0.944 | 0.914 |\n| 50009 | 53 | 29 | 5 | 0.646 | 0.914 | 0.757 |\n| 50028 | 89 | 18 | 4 | 0.832 | 0.957 | 0.89 |\n| UGS01 | 171 | 12 | 5 | 0.934 | 0.972 | 0.953 |\n| UGS04 | 222 | 15 | 1 | 0.937 | 0.996 | 0.965 |\n| UGS05 | 26 | 21 | 4 | 0.553 | 0.867 | 0.675 |\n| UGS09 | 176 | 17 | 17 | 0.912 | 0.912 | 0.912 |\n| Total | 1827 | 313 | 173 | 0.854 | 0.913 | 0.883 |",1]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |","| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| Parameters | Darjietal., | Proposed |\n| --- | --- | --- |\n| Comb.Area | 61351µm | 526419µm |\n| NonComb.Area | 807223µm | 553078µm |\n| TotalCellArea | 868574µm | 1079498µm |","| OperatingVoltage | 1.98V | 1.2V |\n| --- | --- | --- |\n| TotalDynamicPower | 179.75mW | 38.56mW |\n| CellLeakagePower | 46.87µW | 4.86mW |",1]
["| Parameters | Darjietal., | Proposed |\n| --- | --- | --- |\n| Comb.Area | 61351µm | 526419µm |\n| NonComb.Area | 807223µm | 553078µm |\n| TotalCellArea | 868574µm | 1079498µm |","| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |\n| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |\n| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",0]
["| Parameters | Darjietal., | Proposed |\n| --- | --- | --- |\n| Comb.Area | 61351µm | 526419µm |\n| NonComb.Area | 807223µm | 553078µm |","| TotalCellArea | 868574µm | 1079498µm |\n| --- | --- | --- |\n| OperatingVoltage | 1.98V | 1.2V |\n| TotalDynamicPower | 179.75mW | 38.56mW |\n| CellLeakagePower | 46.87µW | 4.86mW |",1]
["| Parameters | Darjietal., | Proposed |\n| --- | --- | --- |\n| Comb.Area | 61351µm | 526419µm |\n| NonComb.Area | 807223µm | 553078µm |","| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |\n| --- | --- | --- | --- |\n| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |\n| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",0]
["| Corpus |\n| --- |\n| DUC’04MedicinaCl´ınicaPistes |\n| 0.80’2.88’1.13’<br>0.40’0.26’0.53’<br>0.33’0.26’0.41’<br>0.31’0.26’0.38’ |","| DUC’04MedicinaCl´ınicaPistes |\n| --- |\n| 1.71’3.10’2.70’<br>1.35’0.40’2.11’<br>1.30’0.38’2.13’<br>0.41’0.28’0.51’ |\n| DUC’04MedicinaCl´ınicaPistes |\n| 9.25’3.38’18.63’<br>9.28’0.75’18.38’<br>9.16’0.73’20.76’<br>3.93’0.46’8.35’ |",1]
["| Corpus |\n| --- |\n| DUC’04MedicinaCl´ınicaPistes |\n| 0.80’2.88’1.13’<br>0.40’0.26’0.53’<br>0.33’0.26’0.41’<br>0.31’0.26’0.38’ |","| Corpus | Trainset | Devset | Testset |\n| --- | --- | --- | --- |\n| sentences | 5661 | 939 | 961 |\n| disease | 5148 | 791 | 961 |\n| spe.dis. | 2959 | 409 | 556 |\n| diseaseclass | 781 | 127 | 121 |\n| modiﬁer | 1292 | 218 | 264 |\n| comp.men. | 116 | 37 | 20 |",0]
["| Corpus |\n| --- |\n| DUC’04MedicinaCl´ınicaPistes |","| 0.80’2.88’1.13’<br>0.40’0.26’0.53’<br>0.33’0.26’0.41’<br>0.31’0.26’0.38’ |\n| --- |\n| DUC’04MedicinaCl´ınicaPistes |\n| 1.71’3.10’2.70’<br>1.35’0.40’2.11’<br>1.30’0.38’2.13’<br>0.41’0.28’0.51’ |\n| DUC’04MedicinaCl´ınicaPistes |\n| 9.25’3.38’18.63’<br>9.28’0.75’18.38’<br>9.16’0.73’20.76’<br>3.93’0.46’8.35’ |",1]
["| Corpus |\n| --- |\n| DUC’04MedicinaCl´ınicaPistes |","| spe.dis. | 2959 | 409 | 556 |\n| --- | --- | --- | --- |\n| diseaseclass | 781 | 127 | 121 |\n| modiﬁer | 1292 | 218 | 264 |\n| comp.men. | 116 | 37 | 20 |",0]
["| Micro-architecture | Year | CA | Featuresize |\n| --- | --- | --- | --- |\n| Tesla | 2006 | 1.x | >55nm |\n| Fermi | 2009 | 2.x | 45nm |\n| Kepler | 2012 | 3.x | 28nm |","| Maxwell | 2014 | 5.x | 28nm |\n| --- | --- | --- | --- |\n| Pascal | 2016 | 6.x | 16nm |",1]
["| Micro-architecture | Year | CA | Featuresize |\n| --- | --- | --- | --- |\n| Tesla | 2006 | 1.x | >55nm |\n| Fermi | 2009 | 2.x | 45nm |\n| Kepler | 2012 | 3.x | 28nm |","| MEM(GB) | CPU(units) | BW(G) | VM |\n| --- | --- | --- | --- |\n| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |\n| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |\n| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |\n| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",0]
["| Micro-architecture | Year | CA | Featuresize |\n| --- | --- | --- | --- |\n| Tesla | 2006 | 1.x | >55nm |","| Fermi | 2009 | 2.x | 45nm |\n| --- | --- | --- | --- |\n| Kepler | 2012 | 3.x | 28nm |\n| Maxwell | 2014 | 5.x | 28nm |\n| Pascal | 2016 | 6.x | 16nm |",1]
["| Micro-architecture | Year | CA | Featuresize |\n| --- | --- | --- | --- |\n| Tesla | 2006 | 1.x | >55nm |","| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| --- | --- | --- | --- |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |\n| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |\n| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",0]
["| Allotherdays |  | 23rdJune2016 |  |\n| --- | --- | --- | --- |\n| #brexit | 787 | #britaininout | 378 |\n| #eu | 148 | #euref | 354 |\n| #merkelmussbleiben | 125 | #brexitornot | 211 |\n| #merkel | 110 | #goodbyeuk | 187 |\n| #euco | 89 | #brexitinout | 186 |\n| #ukineu | 64 | #remainineu | 168 |","| #may | 60 | #brexit | 38 |\n| --- | --- | --- | --- |\n| #uk | 33 | #reasonstoleaveeu | 14 |\n| #article50 | 31 | #eu | 10 |\n| #girlstalkselﬁes | 18 | #uk | 8 |",1]
["| Allotherdays |  | 23rdJune2016 |  |\n| --- | --- | --- | --- |\n| #brexit | 787 | #britaininout | 378 |\n| #eu | 148 | #euref | 354 |\n| #merkelmussbleiben | 125 | #brexitornot | 211 |\n| #merkel | 110 | #goodbyeuk | 187 |\n| #euco | 89 | #brexitinout | 186 |\n| #ukineu | 64 | #remainineu | 168 |","| OriginalContent | Retweets |  |  |\n| --- | --- | --- | --- |\n| nachdem | 32 | eu | 62 |\n| eu | 30 | european | 54 |\n| fr | 25 | uk | 41 |\n| may | 21 | doorstep | 35 |\n| gibt | 21 | council | 35 |\n| merkel | 21 | la | 28 |\n| negativen | 20 | deal | 26 |\n| frau | 20 | vote | 24 |\n| folgen | 20 | britain | 24 |\n| neue | 19 | special | 22 |",0]
["| Allotherdays |  | 23rdJune2016 |  |\n| --- | --- | --- | --- |\n| #brexit | 787 | #britaininout | 378 |\n| #eu | 148 | #euref | 354 |\n| #merkelmussbleiben | 125 | #brexitornot | 211 |","| #merkel | 110 | #goodbyeuk | 187 |\n| --- | --- | --- | --- |\n| #euco | 89 | #brexitinout | 186 |\n| #ukineu | 64 | #remainineu | 168 |\n| #may | 60 | #brexit | 38 |\n| #uk | 33 | #reasonstoleaveeu | 14 |\n| #article50 | 31 | #eu | 10 |\n| #girlstalkselﬁes | 18 | #uk | 8 |",1]
["| Allotherdays |  | 23rdJune2016 |  |\n| --- | --- | --- | --- |\n| #brexit | 787 | #britaininout | 378 |\n| #eu | 148 | #euref | 354 |\n| #merkelmussbleiben | 125 | #brexitornot | 211 |","| eu | 30 | european | 54 |\n| --- | --- | --- | --- |\n| fr | 25 | uk | 41 |\n| may | 21 | doorstep | 35 |\n| gibt | 21 | council | 35 |\n| merkel | 21 | la | 28 |\n| negativen | 20 | deal | 26 |\n| frau | 20 | vote | 24 |\n| folgen | 20 | britain | 24 |\n| neue | 19 | special | 22 |",0]
["| Informationgainratio | Attribute |\n| --- | --- |\n| 1 | totalread |\n| 0.1842 | wordlength |\n| 0.1611 | totalfastasize |","| 0.1208 | totalgenomes |\n| --- | --- |\n| 0.0421 | length |\n| 0.0271 | similarity |",1]
["| Informationgainratio | Attribute |\n| --- | --- |\n| 1 | totalread |\n| 0.1842 | wordlength |\n| 0.1611 | totalfastasize |","| Similarity | Outlets | Grouped | Comm. | Mod. | Cond. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 |  |\n| Vocabulary | 79 | 341 | 52 | 262 | 7 | 14 | 0.38 | 0.38 | 0.02 | 0.35 |\n| Topics | 79 | 341 | 50 | 133 | 4 | 7 | 0.60 | 0.58 | 0.11 | 0.26 |\n| MinHash | 75 | 365 | 50 | 355 | 6 | 11 | 0.40 | 0.74 | 0.01 | 0.04 |",0]
["| Informationgainratio | Attribute |\n| --- | --- |\n| 1 | totalread |\n| 0.1842 | wordlength |","| 0.1611 | totalfastasize |\n| --- | --- |\n| 0.1208 | totalgenomes |\n| 0.0421 | length |\n| 0.0271 | similarity |",1]
["| Informationgainratio | Attribute |\n| --- | --- |\n| 1 | totalread |\n| 0.1842 | wordlength |","| Vocabulary | 79 | 341 | 52 | 262 | 7 | 14 | 0.38 | 0.38 | 0.02 | 0.35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Topics | 79 | 341 | 50 | 133 | 4 | 7 | 0.60 | 0.58 | 0.11 | 0.26 |\n| MinHash | 75 | 365 | 50 | 355 | 6 | 11 | 0.40 | 0.74 | 0.01 | 0.04 |",0]
["| Datasets | TWEETS | GN | YELP |\n| --- | --- | --- | --- |\n| #ofmsg | 12.7M | 2.2M | 1.6M |\n| Vocabularysize | 1.7M | 208K | 85K |","| Avg.#ofmsgkeywords | 9 | 7 | 37 |\n| --- | --- | --- | --- |\n| SizeinGB | 2.26 | 0.3 | 1.04 |",1]
["| Datasets | TWEETS | GN | YELP |\n| --- | --- | --- | --- |\n| #ofmsg | 12.7M | 2.2M | 1.6M |\n| Vocabularysize | 1.7M | 208K | 85K |","| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["| Datasets | TWEETS | GN | YELP |\n| --- | --- | --- | --- |\n| #ofmsg | 12.7M | 2.2M | 1.6M |","| Vocabularysize | 1.7M | 208K | 85K |\n| --- | --- | --- | --- |\n| Avg.#ofmsgkeywords | 9 | 7 | 37 |\n| SizeinGB | 2.26 | 0.3 | 1.04 |",1]
["| Datasets | TWEETS | GN | YELP |\n| --- | --- | --- | --- |\n| #ofmsg | 12.7M | 2.2M | 1.6M |","| Twitter | 237 | 27 | 27 | 253 | 319 |\n| --- | --- | --- | --- | --- | --- |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["| Glass. | JBoss | JOnAS | GWT | Echo2 | Tap. |\n| --- | --- | --- | --- | --- | --- |\n| name<br>(28727) | name<br>(11774) | name<br>(6950) | type<br>(1774) | action<br>(801) | name<br>(1653) |","| value<br>(9067) | test<br>(7332) | ejb<br>(2570) | name<br>(1168) | property<br>(506) | value<br>(1140) |\n| --- | --- | --- | --- | --- | --- |\n| type<br>(7550) | id<br>(3169) | test<br>(2179) | method<br>(540) | value<br>(475) | type<br>(970) |\n| class<br>(6953) | bean<br>(3154) | id<br>(1602) | class<br>(466) | test<br>(395) | class<br>(936) |\n| object<br>(5277) | ejb<br>(2962) | home<br>(1437) | logger<br>(353) | component<br>(369) | ﬁeld<br>(798) |\n| id<br>(4266) | value<br>(2885) | server<br>(1379) | value<br>(344) | element<br>(347) | page<br>(778) |\n| key<br>(4641) | type<br>(2473) | type<br>(1251) | info<br>(254) | id<br>(331) | component<br>(776) |",1]
["| Glass. | JBoss | JOnAS | GWT | Echo2 | Tap. |\n| --- | --- | --- | --- | --- | --- |\n| name<br>(28727) | name<br>(11774) | name<br>(6950) | type<br>(1774) | action<br>(801) | name<br>(1653) |","| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |\n| can62 | 57 | 119 | 0.500 | 0.15 |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["| Glass. | JBoss | JOnAS | GWT | Echo2 | Tap. |\n| --- | --- | --- | --- | --- | --- |\n| name<br>(28727) | name<br>(11774) | name<br>(6950) | type<br>(1774) | action<br>(801) | name<br>(1653) |\n| value<br>(9067) | test<br>(7332) | ejb<br>(2570) | name<br>(1168) | property<br>(506) | value<br>(1140) |","| type<br>(7550) | id<br>(3169) | test<br>(2179) | method<br>(540) | value<br>(475) | type<br>(970) |\n| --- | --- | --- | --- | --- | --- |\n| class<br>(6953) | bean<br>(3154) | id<br>(1602) | class<br>(466) | test<br>(395) | class<br>(936) |\n| object<br>(5277) | ejb<br>(2962) | home<br>(1437) | logger<br>(353) | component<br>(369) | ﬁeld<br>(798) |\n| id<br>(4266) | value<br>(2885) | server<br>(1379) | value<br>(344) | element<br>(347) | page<br>(778) |\n| key<br>(4641) | type<br>(2473) | type<br>(1251) | info<br>(254) | id<br>(331) | component<br>(776) |",1]
["| Glass. | JBoss | JOnAS | GWT | Echo2 | Tap. |\n| --- | --- | --- | --- | --- | --- |\n| name<br>(28727) | name<br>(11774) | name<br>(6950) | type<br>(1774) | action<br>(801) | name<br>(1653) |\n| value<br>(9067) | test<br>(7332) | ejb<br>(2570) | name<br>(1168) | property<br>(506) | value<br>(1140) |","| dwt72 | 26 | 59 | 0.500 | 0.07 |\n| --- | --- | --- | --- | --- |\n| can62 | 57 | 119 | 0.500 | 0.15 |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | yrrbby | yyrrbb | byyrrb | bbyyrr | rbbyyr | rrbbyy |\n| 2 | ryybbr | rryybb | brryyb | bbrryy | ybbrry | yybbrr |\n| 3 | yrrybb | byrryb | bbyrry | ybbyrr | rybbyr | rrybby |\n| 4 | ryyrbb | bryyrb | bbryyr | rbbryy | yrbbry | yyrbbr |\n| 5 | brrbyy | ybrrby | yybrrb | byybrr | rbyybr | rrbyyb |","| 6 | yrbybr | ryrbyb | bryrby | ybryrb | bybryr | rbybry |\n| --- | --- | --- | --- | --- | --- | --- |\n| 7 | rbyryb | brbyry | ybrbyr | rybrby | yrybrb | byrybr |\n| 8 | brybyr | rbryby | yrbryb | byrbry | ybyrbr | rybyrb |\n| 9 | brbyyr | rbrbyy | yrbrby | yyrbrb | byyrbr | rbyyrb |\n| 10 | bybrry | ybybrr | rybybr | rrybyb | brryby | ybrryb |\n| 11 | ryrbby | yryrbb | byryrb | bbyryr | rbbyry | yrbbyr |\n| 12 | rbryyb | brbryy | ybrbry | yybrbr | ryybrb | bryybr |\n| 13 | ybyrrb | bybyrr | rbybyr | rrbyby | yrrbyb | byrrby |\n| 14 | yrybbr | ryrybb | bryryb | bbryry | ybbryr | rybbry |",1]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | yrrbby | yyrrbb | byyrrb | bbyyrr | rbbyyr | rrbbyy |\n| 2 | ryybbr | rryybb | brryyb | bbrryy | ybbrry | yybbrr |\n| 3 | yrrybb | byrryb | bbyrry | ybbyrr | rybbyr | rrybby |\n| 4 | ryyrbb | bryyrb | bbryyr | rbbryy | yrbbry | yyrbbr |\n| 5 | brrbyy | ybrrby | yybrrb | byybrr | rbyybr | rrbyyb |","| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | bbrrrr | rbbrrr | rrbbrr | rrrbbr | rrrrbb | brrrrb |\n| 2 | rrbbbb | brrbbb | bbrrbb | bbbrrb | bbbbrr | rbbbbr |\n| 3 | brrbrr | rbrrbr | rrbrrb |  |  |  |\n| 4 | rbbrbb | brbbrb | bbrbbr |  |  |  |\n| 5 | rbrrrb | brbrrr | rbrbrr | rrbrbr | rrrbrb | brrrbr |\n| 6 | brbbbr | rbrbbb | brbrbb | bbrbrb | bbbrbr | rbbbrb |\n| 7 | bbbbbb |  |  |  |  |  |\n| 8 | rrrrrr |  |  |  |  |  |",0]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | yrrbby | yyrrbb | byyrrb | bbyyrr | rbbyyr | rrbbyy |\n| 2 | ryybbr | rryybb | brryyb | bbrryy | ybbrry | yybbrr |\n| 3 | yrrybb | byrryb | bbyrry | ybbyrr | rybbyr | rrybby |\n| 4 | ryyrbb | bryyrb | bbryyr | rbbryy | yrbbry | yyrbbr |\n| 5 | brrbyy | ybrrby | yybrrb | byybrr | rbyybr | rrbyyb |\n| 6 | yrbybr | ryrbyb | bryrby | ybryrb | bybryr | rbybry |\n| 7 | rbyryb | brbyry | ybrbyr | rybrby | yrybrb | byrybr |\n| 8 | brybyr | rbryby | yrbryb | byrbry | ybyrbr | rybyrb |\n| 9 | brbyyr | rbrbyy | yrbrby | yyrbrb | byyrbr | rbyyrb |\n| 10 | bybrry | ybybrr | rybybr | rrybyb | brryby | ybrryb |\n| 11 | ryrbby | yryrbb | byryrb | bbyryr | rbbyry | yrbbyr |\n| 12 | rbryyb | brbryy | ybrbry | yybrbr | ryybrb | bryybr |","| 13 | ybyrrb | bybyrr | rbybyr | rrbyby | yrrbyb | byrrby |\n| --- | --- | --- | --- | --- | --- | --- |\n| 14 | yrybbr | ryrybb | bryryb | bbryry | ybbryr | rybbry |",1]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | yrrbby | yyrrbb | byyrrb | bbyyrr | rbbyyr | rrbbyy |\n| 2 | ryybbr | rryybb | brryyb | bbrryy | ybbrry | yybbrr |\n| 3 | yrrybb | byrryb | bbyrry | ybbyrr | rybbyr | rrybby |\n| 4 | ryyrbb | bryyrb | bbryyr | rbbryy | yrbbry | yyrbbr |\n| 5 | brrbyy | ybrrby | yybrrb | byybrr | rbyybr | rrbyyb |\n| 6 | yrbybr | ryrbyb | bryrby | ybryrb | bybryr | rbybry |\n| 7 | rbyryb | brbyry | ybrbyr | rybrby | yrybrb | byrybr |\n| 8 | brybyr | rbryby | yrbryb | byrbry | ybyrbr | rybyrb |\n| 9 | brbyyr | rbrbyy | yrbrby | yyrbrb | byyrbr | rbyyrb |\n| 10 | bybrry | ybybrr | rybybr | rrybyb | brryby | ybrryb |\n| 11 | ryrbby | yryrbb | byryrb | bbyryr | rbbyry | yrbbyr |\n| 12 | rbryyb | brbryy | ybrbry | yybrbr | ryybrb | bryybr |","| 7 | bbbbbb |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | rrrrrr |  |  |  |  |  |",0]
["| Name | Proposedapproach |  |  |\n| --- | --- | --- | --- |\n| GC | QC | Time(sec) |  |\n| random1(n=6) | 4 | 48 | 0.669 |\n| random2(n=6) | 5 | 25 | 0.877 |\n| random3(n=6) | 6 | 78 | 1.340 |\n| random4(n=6) | 8 | 84 | 9.253 |\n| random5(n=6) | 10 | 122 | 76.809 |\n| random1(n=7) | 4 | 52 | 2.440 |\n| random2(n=7) | 5 | 75 | 3.182 |","| random3(n=7) | 6 | 63 | 4.635 |\n| --- | --- | --- | --- |\n| random4(n=7) | 7 | 179 | 7.169 |\n| random4(n=7) | 8 | 192 | 11.224 |\n| random4(n=7) | 9 | 188 | 140.065 |\n| random5(n=7) | 10 | 174 | 279.483 |\n| random1(n=8) | 4 | 143 | 10.199 |\n| random2(n=8) | 5 | 184 | 12.791 |\n| random3(n=8) | 6 | 114 | 17.091 |\n| random4(n=8) | 8 | 160 | 47.674 |\n| random5(n=8) | 10 | 213 | 2333.793 |\n| random1(n=9) | 6 | 79 | 84.316 |\n| random2(n=9) | 8 | 110 | 174.604 |\n| random3(n=9) | 10 | 373 | 3679.524 |\n| random1(n=10) | 6 | 175 | 414.778 |\n| random2(n=10) | 8 | 215 | 1018.712 |\n| random3(n=10) | 10 | 501 | 6110.31 |",1]
["| Name | Proposedapproach |  |  |\n| --- | --- | --- | --- |\n| GC | QC | Time(sec) |  |\n| random1(n=6) | 4 | 48 | 0.669 |\n| random2(n=6) | 5 | 25 | 0.877 |\n| random3(n=6) | 6 | 78 | 1.340 |\n| random4(n=6) | 8 | 84 | 9.253 |\n| random5(n=6) | 10 | 122 | 76.809 |\n| random1(n=7) | 4 | 52 | 2.440 |\n| random2(n=7) | 5 | 75 | 3.182 |","| p1 | 47.25 | 40.54 | 11.78 | 6.43 | 7.79 | 19.85 | 35.25 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p22 | 33.88 | 19.35 | 10.57 | 4.49 | 10.23 | 14.39 | 24.58 |\n| p25 | 7.20 | 3.95 | 2.18 | 3.02 | 18.95 | 18.84 | 19.30 |\n| p28 | 24.38 | 11.23 | 4.59 | 3.54 | 9.93 | 16.17 | 26.13 |\n| p30 | 40.93 | 23.75 | 8.79 | 4.39 | 7.50 | 14.78 | 25.22 |\n| p32 | 22.82 | 11.65 | 4.23 | 2.93 | 7.64 | 14.47 | 29.31 |\n| p36 | 37.36 | 23.51 | 9.24 | 4.97 | 6.31 | 17.92 | 31.58 |\n| p38 | 3.28 | 2.10 | 1.66 | 3.41 | 11.08 | 13.59 | 28.11 |\n| p40 | 1.14 | 0.70 | 0.73 | 2.58 | 21.83 | 12.42 | 22.02 |\n| p44 | 8.26 | 4.91 | 2.19 | 2.86 | 5.56 | 14.68 | 24.89 |\n| p29 | - | 42.04 | 14.39 | 7.57 | 10.84 | 17.04 | 24.51 |\n| p37 | - | 54.63 | 19.84 | 10.17 | 7.72 | 16.90 | 30.20 |\n| p3 | - | - | 59.13 | 30.60 | 14.75 | 18.46 | 30.12 |\n| p4 | - | - | 74.71 | 37.64 | 19.45 | 15.93 | 28.38 |\n| p5 | - | - | 20.92 | 13.68 | 14.10 | 15.56 | 30.07 |\n| p13 | - | - | 24.98 | 11.93 | 8.08 | 17.00 | 32.34 |\n| p16 | - | - | 21.77 | 10.41 | 17.01 | 14.88 | 26.67 |\n| p26 | - | - | 74.81 | 29.31 | 20.45 | 17.53 | 47.11 |\n| p47 | - | - | 74.28 | 27.28 | 19.63 | 19.70 | 36.97 |\n| p6 | - | - | - | 65.66 | 34.77 | 24.18 | 36.46 |\n| p27 | - | - | - | 54.15 | 37.15 | 26.06 | 35.20 |\n| p31 | - | - | - | 45.98 | 29.36 | 21.02 | 34.28 |\n| p41 | - | - | - | 39.21 | 34.95 | 22.69 | 37.99 |\n| p43 | - | - | - | 48.02 | 25.98 | 21.56 | 37.44 |\n| p49 | - | - | - | 68.03 | 45.43 | 25.27 | 31.61 |\n| p19 | - | - | - | - | 70.09 | 49.10 | 37.02 |\n| p45 | - | - | - | - | 53.33 | 37.02 | 34.47 |\n| p46 | - | - | - | - | 68.10 | 47.13 | 37.01 |\n| p2 | - | - | - | - | - | 75.36 | 45.99 |\n| p7 | - | - | - | - | - | 51.23 | 42.21 |\n| p8 | - | - | - | - | - | 66.61 | 34.68 |\n| p20 | - | - | - | - | - | 44.77 | 33.40 |\n| p24 | - | - | - | - | - | 61.45 | 52.59 |\n| p35 | - | - | - | - | - | 59.64 | 33.55 |\n| p39 | - | - | - | - | - | 68.02 | 44.66 |\n| p42 | - | - | - | - | - | 65.57 | 42.23 |\n| p15 | - | - | - | - | - | - | 57.72 |\n| p23 | - | - | - | - | - | - | 61.63 |\n| p34 | - | - | - | - | - | - | 57.49 |",0]
["| Name | Proposedapproach |  |  |\n| --- | --- | --- | --- |\n| GC | QC | Time(sec) |  |\n| random1(n=6) | 4 | 48 | 0.669 |\n| random2(n=6) | 5 | 25 | 0.877 |\n| random3(n=6) | 6 | 78 | 1.340 |\n| random4(n=6) | 8 | 84 | 9.253 |\n| random5(n=6) | 10 | 122 | 76.809 |\n| random1(n=7) | 4 | 52 | 2.440 |\n| random2(n=7) | 5 | 75 | 3.182 |\n| random3(n=7) | 6 | 63 | 4.635 |\n| random4(n=7) | 7 | 179 | 7.169 |\n| random4(n=7) | 8 | 192 | 11.224 |\n| random4(n=7) | 9 | 188 | 140.065 |\n| random5(n=7) | 10 | 174 | 279.483 |\n| random1(n=8) | 4 | 143 | 10.199 |\n| random2(n=8) | 5 | 184 | 12.791 |\n| random3(n=8) | 6 | 114 | 17.091 |\n| random4(n=8) | 8 | 160 | 47.674 |\n| random5(n=8) | 10 | 213 | 2333.793 |\n| random1(n=9) | 6 | 79 | 84.316 |","| random2(n=9) | 8 | 110 | 174.604 |\n| --- | --- | --- | --- |\n| random3(n=9) | 10 | 373 | 3679.524 |\n| random1(n=10) | 6 | 175 | 414.778 |\n| random2(n=10) | 8 | 215 | 1018.712 |\n| random3(n=10) | 10 | 501 | 6110.31 |",1]
["| Name | Proposedapproach |  |  |\n| --- | --- | --- | --- |\n| GC | QC | Time(sec) |  |\n| random1(n=6) | 4 | 48 | 0.669 |\n| random2(n=6) | 5 | 25 | 0.877 |\n| random3(n=6) | 6 | 78 | 1.340 |\n| random4(n=6) | 8 | 84 | 9.253 |\n| random5(n=6) | 10 | 122 | 76.809 |\n| random1(n=7) | 4 | 52 | 2.440 |\n| random2(n=7) | 5 | 75 | 3.182 |\n| random3(n=7) | 6 | 63 | 4.635 |\n| random4(n=7) | 7 | 179 | 7.169 |\n| random4(n=7) | 8 | 192 | 11.224 |\n| random4(n=7) | 9 | 188 | 140.065 |\n| random5(n=7) | 10 | 174 | 279.483 |\n| random1(n=8) | 4 | 143 | 10.199 |\n| random2(n=8) | 5 | 184 | 12.791 |\n| random3(n=8) | 6 | 114 | 17.091 |\n| random4(n=8) | 8 | 160 | 47.674 |\n| random5(n=8) | 10 | 213 | 2333.793 |\n| random1(n=9) | 6 | 79 | 84.316 |","| p41 | - | - | - | 39.21 | 34.95 | 22.69 | 37.99 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p43 | - | - | - | 48.02 | 25.98 | 21.56 | 37.44 |\n| p49 | - | - | - | 68.03 | 45.43 | 25.27 | 31.61 |\n| p19 | - | - | - | - | 70.09 | 49.10 | 37.02 |\n| p45 | - | - | - | - | 53.33 | 37.02 | 34.47 |\n| p46 | - | - | - | - | 68.10 | 47.13 | 37.01 |\n| p2 | - | - | - | - | - | 75.36 | 45.99 |\n| p7 | - | - | - | - | - | 51.23 | 42.21 |\n| p8 | - | - | - | - | - | 66.61 | 34.68 |\n| p20 | - | - | - | - | - | 44.77 | 33.40 |\n| p24 | - | - | - | - | - | 61.45 | 52.59 |\n| p35 | - | - | - | - | - | 59.64 | 33.55 |\n| p39 | - | - | - | - | - | 68.02 | 44.66 |\n| p42 | - | - | - | - | - | 65.57 | 42.23 |\n| p15 | - | - | - | - | - | - | 57.72 |\n| p23 | - | - | - | - | - | - | 61.63 |\n| p34 | - | - | - | - | - | - | 57.49 |",0]
["| Size | Trainloss | Valloss | Testloss |\n| --- | --- | --- | --- |\n| 36×36 | 10.506±0.493 | 8.684±1.003 | 11.468 |","| 44×44 | 10.269±0.515 | 8.886±1.648 | 8.077 |\n| --- | --- | --- | --- |\n| 52×52 | 10.149±0.500 | 8.818±1.758 | 8.661 |\n| 60×60 | 9.763±0.921 | 7.668±0.610 | 7.541 |\n| 65×65 | 10.201±0.508 | 9.666±2.432 | 7.692 |",1]
["| Size | Trainloss | Valloss | Testloss |\n| --- | --- | --- | --- |\n| 36×36 | 10.506±0.493 | 8.684±1.003 | 11.468 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 200 | 9k,1k,10k | 0.9362,0.8732,0.8731 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.3967,0.1884,0.1883 |\n| 100 | 128 | 200 | 135k,15k,10k | 0.9690,0.9613,0.9623 |\n| 100 | 256 | 81 | 135k,150k,10k | 0.9904,0.9784,0.9787 |\n| 1000 | 256 | 133 | 135k,15k,10k | 0.9410,0.9151,0.9155 |",0]
["| Size | Trainloss | Valloss | Testloss |\n| --- | --- | --- | --- |\n| 36×36 | 10.506±0.493 | 8.684±1.003 | 11.468 |","| 44×44 | 10.269±0.515 | 8.886±1.648 | 8.077 |\n| --- | --- | --- | --- |\n| 52×52 | 10.149±0.500 | 8.818±1.758 | 8.661 |\n| 60×60 | 9.763±0.921 | 7.668±0.610 | 7.541 |\n| 65×65 | 10.201±0.508 | 9.666±2.432 | 7.692 |",1]
["| Size | Trainloss | Valloss | Testloss |\n| --- | --- | --- | --- |\n| 36×36 | 10.506±0.493 | 8.684±1.003 | 11.468 |","| 100 | 128 | 200 | 135k,15k,10k | 0.9690,0.9613,0.9623 |\n| --- | --- | --- | --- | --- |\n| 100 | 256 | 81 | 135k,150k,10k | 0.9904,0.9784,0.9787 |\n| 1000 | 256 | 133 | 135k,15k,10k | 0.9410,0.9151,0.9155 |",0]
["| Algorithm | Nonoise | σ=10 | σ=20 | σ=30 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 22.86 | 22.12 | 20.84 | 19.75 |","| NLR-CS | 14.22 | 14.13 | 13.09 | 12.40 |\n| --- | --- | --- | --- | --- |\n| D-AMP | 21.08 | 20.80 | 20.19 | 19.56 |\n| ReconNet | 23.23 | 22.88 | 21.98 | 20.80 |\n| SDA | 22.68 | 22.36 | 21.56 | 20.58 |",1]
["| Algorithm | Nonoise | σ=10 | σ=20 | σ=30 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 22.86 | 22.12 | 20.84 | 19.75 |","| Algorithm | MR=0.25 | MR=0.10 | MR=0.04 | MR=0.01 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 2.943 | 3.223 | 3.467 | 7.790 |\n| NLR-CS | 314.852 | 305.703 | 300.666 | 314.176 |\n| D-AMP | 27.764 | 31.849 | 34.207 | 54.643 |\n| ReconNet(CPU) | 0.5249 | 0.5258 | 0.5284 | 0.5193 |\n| ReconNet(GPU) | 0.0213 | 0.0195 | 0.0192 | 0.0244 |\n| SDA(GPU) | 0.0042 | 0.0029 | 0.0025 | 0.0045 |",0]
["| Algorithm | Nonoise | σ=10 | σ=20 | σ=30 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 22.86 | 22.12 | 20.84 | 19.75 |","| NLR-CS | 14.22 | 14.13 | 13.09 | 12.40 |\n| --- | --- | --- | --- | --- |\n| D-AMP | 21.08 | 20.80 | 20.19 | 19.56 |\n| ReconNet | 23.23 | 22.88 | 21.98 | 20.80 |\n| SDA | 22.68 | 22.36 | 21.56 | 20.58 |",1]
["| Algorithm | Nonoise | σ=10 | σ=20 | σ=30 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 22.86 | 22.12 | 20.84 | 19.75 |","| ReconNet(GPU) | 0.0213 | 0.0195 | 0.0192 | 0.0244 |\n| --- | --- | --- | --- | --- |\n| SDA(GPU) | 0.0042 | 0.0029 | 0.0025 | 0.0045 |",0]
["| Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 |  |\n| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |\n| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |","| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",1]
["| Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 |  |\n| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |\n| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |","|  |  | MSCOCO |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Measure | Beamsize | Layers | BLEU | METEOR | TER |\n| Seq-to-Seq | - | 10 | 2 | 16.5 | 15.4 | 67.1 |\n| WithAttention | - | 10 | 2 | 18.6 | 16.8 | 63.0 |\n| Seq-toSeq | - | 10 | 4 | 28.9 | 23.2 | 56.3 |\n| Bi-directional | - | 10 | 4 | 32.8 | 24.9 | 53.7 |\n| WithAttention | - | 10 | 4 | 33.4 | 25.2 | 53.8 |\n| ResidualLSTM | - | 10 | 4 | 37.0 | 27.0 | 51.6 |\n| Unsupervised | - | Nobeam | 1,2 | 12.8 | 17.5 | 78.8 |\n| VAE-S | Avg | Nobeam | 1,2 | 7.0 | 14.0 | 82.3 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG(our) | Avg | Nobeam | 1,2 | 39.2 | 29.2 | 43.6 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG-eq(our) | Avg | Nobeam | 1,2 | 37.3 | 28.5 | 45.1 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",0]
["| Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 |","| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |\n| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",1]
["| Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 |","| Seq-toSeq | - | 10 | 4 | 28.9 | 23.2 | 56.3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Bi-directional | - | 10 | 4 | 32.8 | 24.9 | 53.7 |\n| WithAttention | - | 10 | 4 | 33.4 | 25.2 | 53.8 |\n| ResidualLSTM | - | 10 | 4 | 37.0 | 27.0 | 51.6 |\n| Unsupervised | - | Nobeam | 1,2 | 12.8 | 17.5 | 78.8 |\n| VAE-S | Avg | Nobeam | 1,2 | 7.0 | 14.0 | 82.3 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG(our) | Avg | Nobeam | 1,2 | 39.2 | 29.2 | 43.6 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG-eq(our) | Avg | Nobeam | 1,2 | 37.3 | 28.5 | 45.1 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",0]
["| ObjectType |\n| --- |\n| Paper |\n| Venue |\n| Term |\n| Author |\n| Paper |\n| Venue |\n| Term |\n| Author |","| GeneOntology |\n| --- |\n| Tissue |\n| Gene |\n| ChemicalCompound |\n| SideEffect |\n| Substructure |",1]
["| ObjectType |\n| --- |\n| Paper |\n| Venue |\n| Term |\n| Author |\n| Paper |\n| Venue |\n| Term |\n| Author |","| TypeofLesion | Class |\n| --- | --- |\n| Healthy/NoLesionandBackground | 0 |\n| NecroticRegion | 1 |\n| Edema | 2 |\n| NonEnhancingTumor | 3 |\n| EnhancingTumor | 4 |",0]
["| ObjectType |\n| --- |\n| Paper |\n| Venue |\n| Term |\n| Author |\n| Paper |\n| Venue |\n| Term |\n| Author |","| GeneOntology |\n| --- |\n| Tissue |\n| Gene |\n| ChemicalCompound |\n| SideEffect |\n| Substructure |",1]
["| ObjectType |\n| --- |\n| Paper |\n| Venue |\n| Term |\n| Author |\n| Paper |\n| Venue |\n| Term |\n| Author |","| Edema | 2 |\n| --- | --- |\n| NonEnhancingTumor | 3 |\n| EnhancingTumor | 4 |",0]
["|  | b=4 | b=5 | b=6 | b=7 | b=8 |\n| --- | --- | --- | --- | --- | --- |\n| n=40 | 1.456 | 1.939 | 2.307 | 2.537 | 2.959 |\n| n=60 | 4.459 | 5.831 | 7.417 | 9.081 | 10.698 |\n| n=80 | 9.979 | 13.45 | 17.324 | 21.356 | 26.229 |\n| n=100 | 19.053 | 26.044 | 33.747 | 42.16 | 53.112 |\n| n=120 | 33.56 | 44.782 | 59.113 | 73.335 | 91.351 |\n| n=140 | 51.623 | 70.666 | 92.744 | 118.407 | 146.325 |\n| n=160 | 76.532 | 105.341 | 139.212 | 175.149 | 219.134 |\n| n=180 | 110.122 | 149.741 | 196.743 | 250.56 | 313.35 |\n| n=200 | 150.137 | 207.466 | 274.537 | 348.243 | 436.469 |","| n=220 | 201.308 | 277.219 | 363.592 | 463.509 | – |\n| --- | --- | --- | --- | --- | --- |\n| n=240 | 259.773 | 360.413 | 474.005 | – | – |",1]
["|  | b=4 | b=5 | b=6 | b=7 | b=8 |\n| --- | --- | --- | --- | --- | --- |\n| n=40 | 1.456 | 1.939 | 2.307 | 2.537 | 2.959 |\n| n=60 | 4.459 | 5.831 | 7.417 | 9.081 | 10.698 |\n| n=80 | 9.979 | 13.45 | 17.324 | 21.356 | 26.229 |\n| n=100 | 19.053 | 26.044 | 33.747 | 42.16 | 53.112 |\n| n=120 | 33.56 | 44.782 | 59.113 | 73.335 | 91.351 |\n| n=140 | 51.623 | 70.666 | 92.744 | 118.407 | 146.325 |\n| n=160 | 76.532 | 105.341 | 139.212 | 175.149 | 219.134 |\n| n=180 | 110.122 | 149.741 | 196.743 | 250.56 | 313.35 |\n| n=200 | 150.137 | 207.466 | 274.537 | 348.243 | 436.469 |","| n | d=g | d=4g | d=16g |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | A | B | A | B | A | B |\n| 4 | 14.75 | 37 | - | - | - | - |\n| 16 | 20.90 | 54 | 71.40 | 118 | - | - |\n| 64 | 27.35 | 79 | 82.80 | 177 | 317.90 | 442 |\n| 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |\n| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |\n| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |\n| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |\n| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |\n| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |\n| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |\n| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |\n| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 |",0]
["|  | b=4 | b=5 | b=6 | b=7 | b=8 |\n| --- | --- | --- | --- | --- | --- |\n| n=40 | 1.456 | 1.939 | 2.307 | 2.537 | 2.959 |\n| n=60 | 4.459 | 5.831 | 7.417 | 9.081 | 10.698 |","| n=80 | 9.979 | 13.45 | 17.324 | 21.356 | 26.229 |\n| --- | --- | --- | --- | --- | --- |\n| n=100 | 19.053 | 26.044 | 33.747 | 42.16 | 53.112 |\n| n=120 | 33.56 | 44.782 | 59.113 | 73.335 | 91.351 |\n| n=140 | 51.623 | 70.666 | 92.744 | 118.407 | 146.325 |\n| n=160 | 76.532 | 105.341 | 139.212 | 175.149 | 219.134 |\n| n=180 | 110.122 | 149.741 | 196.743 | 250.56 | 313.35 |\n| n=200 | 150.137 | 207.466 | 274.537 | 348.243 | 436.469 |\n| n=220 | 201.308 | 277.219 | 363.592 | 463.509 | – |\n| n=240 | 259.773 | 360.413 | 474.005 | – | – |",1]
["|  | b=4 | b=5 | b=6 | b=7 | b=8 |\n| --- | --- | --- | --- | --- | --- |\n| n=40 | 1.456 | 1.939 | 2.307 | 2.537 | 2.959 |\n| n=60 | 4.459 | 5.831 | 7.417 | 9.081 | 10.698 |","| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |\n| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |\n| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |\n| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 |",0]
["| Correctness | Completeness | Attributes |\n| --- | --- | --- |\n| exact | partial | included |\n| exact | complete | included |","| noisy | partial | included |\n| --- | --- | --- |\n| noisy | complete | included |\n| N/A | partial | included |\n| N/A | complete | included |",1]
["| Correctness | Completeness | Attributes |\n| --- | --- | --- |\n| exact | partial | included |\n| exact | complete | included |","| Level | Symbol | Meaning | Description |\n| --- | --- | --- | --- |\n| 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue |\n| 2 | inv | invalid | Valuenotpermittedinconstraineddomain |\n| 3 | oth | other | Actualvaluenotpermittedinconstraineddomain |\n| 4 | ninf | negativeinﬁnity | Negativeinﬁnityonnumbers |\n| 4 | pinf | positiveinﬁnity | Positiveinﬁnityonnumbers |\n| 3 | unc | unencoded | Informationnotencoded(yet) |\n| 3 | der | derived | Actualvaluemustbederived |\n| 2 | unk | unknown | Propervalueisapplicablebutnotknown |\n| 3 | asku | askedbutunknown | Informationsoughtbutnotfound |\n| 4 | nav | temporarilyunavailable | Expectedtobeavailablelater |\n| 3 | qs | suﬃcientquantity | Quantitynotknownbutnon-zero |\n| 3 | nask | notasked | Informationnotsought |\n| 3 | trc | trace | Greaterthanzerobuttoosmallforquantiﬁcation |\n| 2 | msk | masked | Informationavailablebutnotprovided |\n| 2 | na | notapplicable | Novalueapplicableincontext |",0]
["| Correctness | Completeness | Attributes |\n| --- | --- | --- |\n| exact | partial | included |","| exact | complete | included |\n| --- | --- | --- |\n| noisy | partial | included |\n| noisy | complete | included |\n| N/A | partial | included |\n| N/A | complete | included |",1]
["| Correctness | Completeness | Attributes |\n| --- | --- | --- |\n| exact | partial | included |","| 3 | trc | trace | Greaterthanzerobuttoosmallforquantiﬁcation |\n| --- | --- | --- | --- |\n| 2 | msk | masked | Informationavailablebutnotprovided |\n| 2 | na | notapplicable | Novalueapplicableincontext |",0]
["| Name | Class | Ins. | Size<br>(MB) | Runtime<br>MeanSDMinMax |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bmc | sat<br>unsat | 234<br>237 | 4,420.0<br>1,951.7 | 154.42<br>113.82 | 26.41<br>18.59 | 127.93<br>93.48 | 213.27<br>155.04 |\n| velev | sat<br>unsat | 72<br>105 | 1,866.2<br>953.4 | 32.68<br>70.74 | 3.74<br>1.64 | 24.77<br>68.16 | 37.87<br>73.29 |","| crypto | sat<br>unsat | 139<br>300 | 2.7<br>5.5 | 140.71<br>14.19 | 11.54<br>1.53 | 122.52<br>11.61 | 164.78<br>16.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| rand | sat<br>unsat | 457<br>601 | 1.90<br>2.3 | 76.93<br>84.82 | 14.98<br>10.82 | 54.00<br>70.87 | 105.10<br>103.56 |",1]
["| Name | Class | Ins. | Size<br>(MB) | Runtime<br>MeanSDMinMax |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bmc | sat<br>unsat | 234<br>237 | 4,420.0<br>1,951.7 | 154.42<br>113.82 | 26.41<br>18.59 | 127.93<br>93.48 | 213.27<br>155.04 |\n| velev | sat<br>unsat | 72<br>105 | 1,866.2<br>953.4 | 32.68<br>70.74 | 3.74<br>1.64 | 24.77<br>68.16 | 37.87<br>73.29 |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| Name | Class | Ins. | Size<br>(MB) | Runtime<br>MeanSDMinMax |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bmc | sat<br>unsat | 234<br>237 | 4,420.0<br>1,951.7 | 154.42<br>113.82 | 26.41<br>18.59 | 127.93<br>93.48 | 213.27<br>155.04 |\n| velev | sat<br>unsat | 72<br>105 | 1,866.2<br>953.4 | 32.68<br>70.74 | 3.74<br>1.64 | 24.77<br>68.16 | 37.87<br>73.29 |","| crypto | sat<br>unsat | 139<br>300 | 2.7<br>5.5 | 140.71<br>14.19 | 11.54<br>1.53 | 122.52<br>11.61 | 164.78<br>16.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| rand | sat<br>unsat | 457<br>601 | 1.90<br>2.3 | 76.93<br>84.82 | 14.98<br>10.82 | 54.00<br>70.87 | 105.10<br>103.56 |",1]
["| Name | Class | Ins. | Size<br>(MB) | Runtime<br>MeanSDMinMax |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bmc | sat<br>unsat | 234<br>237 | 4,420.0<br>1,951.7 | 154.42<br>113.82 | 26.41<br>18.59 | 127.93<br>93.48 | 213.27<br>155.04 |\n| velev | sat<br>unsat | 72<br>105 | 1,866.2<br>953.4 | 32.68<br>70.74 | 3.74<br>1.64 | 24.77<br>68.16 | 37.87<br>73.29 |","| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| Domain | Proﬁle | Attribute | Training | Testing |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |","| DogFood(DS) | Title | Flavor | 470 | 876 | 493 | 602 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DogFood | Title<br>Desc<br>Bullet<br>Title<br>Title<br>Title | Flavor<br>Flavor<br>Flavor<br>Brand<br>Capacity<br>Multi | 470<br>450<br>800<br>470<br>470<br>470 | 716<br>569<br>1481<br>480<br>428<br>1775 | 493<br>377<br>627<br>497<br>497<br>497 | 762<br>354<br>1179<br>607<br>433<br>1632 |\n| Camera | Title | Brand | 210 | 210 | 211 | 211 |\n| Detergent | Title | Scent | 500 | 487 | 500 | 484 |",1]
["| Domain | Proﬁle | Attribute | Training | Testing |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |","| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |\n| --- | --- | --- | --- |\n| Sports | 64 | 0.972 | 1.93×10 |\n| Animals | 108 | 0.982 | 3.14×10 |\n| Clothes | 88 | 0.882 | 1.71×10 |\n| Food | 107 | 0.979 | 2.56×10 |\n| Furniture | 38 | 0.942 | 5.52×10 |\n| Music | 16 | 0.983 | 1.30×10 |\n| Plants | 33 | 0.954 | 2.36×10 |\n| Structures | 17 | 0.973 | 8.33×10 |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",0]
["| Domain | Proﬁle | Attribute | Training | Testing |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DogFood(DS) | Title | Flavor | 470 | 876 | 493 | 602 |","| DogFood | Title<br>Desc<br>Bullet<br>Title<br>Title<br>Title | Flavor<br>Flavor<br>Flavor<br>Brand<br>Capacity<br>Multi | 470<br>450<br>800<br>470<br>470<br>470 | 716<br>569<br>1481<br>480<br>428<br>1775 | 493<br>377<br>627<br>497<br>497<br>497 | 762<br>354<br>1179<br>607<br>433<br>1632 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Camera | Title | Brand | 210 | 210 | 211 | 211 |\n| Detergent | Title | Scent | 500 | 487 | 500 | 484 |",1]
["| Domain | Proﬁle | Attribute | Training | Testing |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DogFood(DS) | Title | Flavor | 470 | 876 | 493 | 602 |","| Structures | 17 | 0.973 | 8.33×10 |\n| --- | --- | --- | --- |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",0]
["| Dataset | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| Hua | 0.7845 | 0.6848 | 0.7300 |\n| Horizontal-1 | 0.8734 | 0.7423 | 0.8025 |","| Horizontal-2 | 0.6489 | 0.7849 | 0.7105 |\n| --- | --- | --- | --- |\n| ICDAR2011 | 0.7934 | 0.7245 | 0.7574 |",1]
["| Dataset | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| Hua | 0.7845 | 0.6848 | 0.7300 |\n| Horizontal-1 | 0.8734 | 0.7423 | 0.8025 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |\n| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |\n| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["| Dataset | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| Hua | 0.7845 | 0.6848 | 0.7300 |","| Horizontal-1 | 0.8734 | 0.7423 | 0.8025 |\n| --- | --- | --- | --- |\n| Horizontal-2 | 0.6489 | 0.7849 | 0.7105 |\n| ICDAR2011 | 0.7934 | 0.7245 | 0.7574 |",1]
["| Dataset | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| Hua | 0.7845 | 0.6848 | 0.7300 |","| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| --- | --- | --- | --- | --- |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["| s | si | sj | τ(s\\|s,s)3ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | s<br>0<br>1−s<br>0 | myselfupset,spouseneutral→passive:support<br>myselfupset,spouseneutral→neutral:notcontemplated<br>myselfupset,spouseneutral→upset:lackofsupport<br>myselfupset,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |","| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",1]
["| s | si | sj | τ(s\\|s,s)3ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | s<br>0<br>1−s<br>0 | myselfupset,spouseneutral→passive:support<br>myselfupset,spouseneutral→neutral:notcontemplated<br>myselfupset,spouseneutral→upset:lackofsupport<br>myselfupset,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |","| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfpassive,spouseneutral→passive:notcontemplated<br>myselfpassive,spouseneutral→normal:default<br>myselfpassive,spouseneutral→upset:notcontemplated<br>myselfpassive,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfpassive,spousepassive→passive:notcontemplated<br>myselfpassive,spousepassive→normal:default<br>myselfpassive,spousepassive→upset:notcontemplated<br>myselfpassive,spousepassive→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>1<br>1<br>1 | 1−a<br>0<br>a<br>0 | myselfpassive,spouseupset→passive:notassertiveness<br>myselfpassive,spouseupset→normal:notcontemplated<br>myselfpassive,spouseupset→upset:assertiveness<br>myselfpassive,spouseupset→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 2<br>2<br>2<br>2 | 1<br>0<br>0<br>0 | myselfpassive,spouseviolent→passive:passivity(absorbingstate)<br>myselfpassive,spouseviolent→normal:notcontemplated<br>myselfpassive,spouseviolent→upset:notcontemplated<br>myselfpassive,spouseviolent→violent:notcontemplated |",0]
["| s | si | sj | τ(s\\|s,s)3ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | s<br>0<br>1−s<br>0 | myselfupset,spouseneutral→passive:support<br>myselfupset,spouseneutral→neutral:notcontemplated<br>myselfupset,spouseneutral→upset:lackofsupport<br>myselfupset,spouseneutral→violent:notcontemplated |","| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",1]
["| s | si | sj | τ(s\\|s,s)3ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | s<br>0<br>1−s<br>0 | myselfupset,spouseneutral→passive:support<br>myselfupset,spouseneutral→neutral:notcontemplated<br>myselfupset,spouseneutral→upset:lackofsupport<br>myselfupset,spouseneutral→violent:notcontemplated |","| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfpassive,spousepassive→passive:notcontemplated<br>myselfpassive,spousepassive→normal:default<br>myselfpassive,spousepassive→upset:notcontemplated<br>myselfpassive,spousepassive→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>1<br>1<br>1 | 1−a<br>0<br>a<br>0 | myselfpassive,spouseupset→passive:notassertiveness<br>myselfpassive,spouseupset→normal:notcontemplated<br>myselfpassive,spouseupset→upset:assertiveness<br>myselfpassive,spouseupset→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 2<br>2<br>2<br>2 | 1<br>0<br>0<br>0 | myselfpassive,spouseviolent→passive:passivity(absorbingstate)<br>myselfpassive,spouseviolent→normal:notcontemplated<br>myselfpassive,spouseviolent→upset:notcontemplated<br>myselfpassive,spouseviolent→violent:notcontemplated |",0]
["|  | idealparametricvalues |\n| --- | --- |\n| NSNT | α=0.9 |\n| NSAT | α=0.8,β=0.1 |\n| NSMT | α=0.8,β=0.1 |","| ASNT | α=0.5,γ=0.1 |\n| --- | --- |\n| ASAT | α=0.6,β=0.1,γ=0.1 |\n| ASMT | α=0.3,β=0.1,γ=0.2 |\n| MSNT | α=0.5,γ=0.1 |\n| MSAT | α=0.6,β=0.1,γ=0.1 |\n| MSMT | α=0.7,β=0.8,γ=0.1 |",1]
["|  | idealparametricvalues |\n| --- | --- |\n| NSNT | α=0.9 |\n| NSAT | α=0.8,β=0.1 |\n| NSMT | α=0.8,β=0.1 |","| Parameter | Values |\n| --- | --- |\n| k | 5,25,50,75,100 |\n| β | 0.1,0.2,0.3,0.4,0.5 |\n| N | 100K,250K,500K,750K,1,000K |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",0]
["|  | idealparametricvalues |\n| --- | --- |\n| NSNT | α=0.9 |\n| NSAT | α=0.8,β=0.1 |\n| NSMT | α=0.8,β=0.1 |\n| ASNT | α=0.5,γ=0.1 |\n| ASAT | α=0.6,β=0.1,γ=0.1 |","| ASMT | α=0.3,β=0.1,γ=0.2 |\n| --- | --- |\n| MSNT | α=0.5,γ=0.1 |\n| MSAT | α=0.6,β=0.1,γ=0.1 |\n| MSMT | α=0.7,β=0.8,γ=0.1 |",1]
["|  | idealparametricvalues |\n| --- | --- |\n| NSNT | α=0.9 |\n| NSAT | α=0.8,β=0.1 |\n| NSMT | α=0.8,β=0.1 |\n| ASNT | α=0.5,γ=0.1 |\n| ASAT | α=0.6,β=0.1,γ=0.1 |","| β | 0.1,0.2,0.3,0.4,0.5 |\n| --- | --- |\n| N | 100K,250K,500K,750K,1,000K |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",0]
["| Model | ρ×100 |\n| --- | --- |\n| HLBL | 33.2 |\n| C&W | 55.3 |","| Skip-gram-300d | 70.4 |\n| --- | --- |\n| Huangetal-G | 22.8 |\n| Huangetal-M | 64.2 |\n| MSSG50d-G | 60.6 |\n| MSSG50d-M | 63.2 |\n| MSSG300d-G | 69.2 |\n| MSSG300d-M | 70.9 |\n| NP-MSSG50d-G | 61.5 |\n| NP-MSSG50d-M | 62.4 |\n| NP-MSSG300d-G | 69.1 |\n| NP-MSSG300d-M | 68.6 |\n| PrunedTF-IDF | 73.4 |\n| ESA | 75 |\n| TieredTF-IDF | 76.9 |",1]
["| Model | ρ×100 |\n| --- | --- |\n| HLBL | 33.2 |\n| C&W | 55.3 |","| Model | Time(inhours) |\n| --- | --- |\n| Huangetal | 168 |\n| MSSG50d | 1 |\n| MSSG-300d | 6 |\n| NP-MSSG-50d | 1.83 |\n| NP-MSSG-300d | 5 |\n| Skip-gram-50d | 0.33 |\n| Skip-gram-300d | 1.5 |",0]
["| Model | ρ×100 |\n| --- | --- |\n| HLBL | 33.2 |\n| C&W | 55.3 |\n| Skip-gram-300d | 70.4 |","| Huangetal-G | 22.8 |\n| --- | --- |\n| Huangetal-M | 64.2 |\n| MSSG50d-G | 60.6 |\n| MSSG50d-M | 63.2 |\n| MSSG300d-G | 69.2 |\n| MSSG300d-M | 70.9 |\n| NP-MSSG50d-G | 61.5 |\n| NP-MSSG50d-M | 62.4 |\n| NP-MSSG300d-G | 69.1 |\n| NP-MSSG300d-M | 68.6 |\n| PrunedTF-IDF | 73.4 |\n| ESA | 75 |\n| TieredTF-IDF | 76.9 |",1]
["| Model | ρ×100 |\n| --- | --- |\n| HLBL | 33.2 |\n| C&W | 55.3 |\n| Skip-gram-300d | 70.4 |","| NP-MSSG-50d | 1.83 |\n| --- | --- |\n| NP-MSSG-300d | 5 |\n| Skip-gram-50d | 0.33 |\n| Skip-gram-300d | 1.5 |",0]
["| Subclass | Complexity | Subclass | Complexity |\n| --- | --- | --- | --- |\n| Regular | (m−1)2+2 | Preﬁx-closed | (m+1)2 |\n| Unary | ∼mn(asymptotically) | Preﬁx-free | m+n−2 |\n| Finiteunary | m+n−2 | Suﬃx-closed | mn−n+1 |","| Finitebinary | (m−n+3)2−1 | Suﬃx-free | (m−1)2+1 |\n| --- | --- | --- | --- |\n| Star-free | (m−1)2+2 | Rightideal | m+2 |\n| Non-returning | (m−1)2+1 | Leftideal | m+n−1 |",1]
["| Subclass | Complexity | Subclass | Complexity |\n| --- | --- | --- | --- |\n| Regular | (m−1)2+2 | Preﬁx-closed | (m+1)2 |\n| Unary | ∼mn(asymptotically) | Preﬁx-free | m+n−2 |\n| Finiteunary | m+n−2 | Suﬃx-closed | mn−n+1 |","| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| Subclass | Complexity | Subclass | Complexity |\n| --- | --- | --- | --- |\n| Regular | (m−1)2+2 | Preﬁx-closed | (m+1)2 |\n| Unary | ∼mn(asymptotically) | Preﬁx-free | m+n−2 |\n| Finiteunary | m+n−2 | Suﬃx-closed | mn−n+1 |\n| Finitebinary | (m−n+3)2−1 | Suﬃx-free | (m−1)2+1 |","| Star-free | (m−1)2+2 | Rightideal | m+2 |\n| --- | --- | --- | --- |\n| Non-returning | (m−1)2+1 | Leftideal | m+n−1 |",1]
["| Subclass | Complexity | Subclass | Complexity |\n| --- | --- | --- | --- |\n| Regular | (m−1)2+2 | Preﬁx-closed | (m+1)2 |\n| Unary | ∼mn(asymptotically) | Preﬁx-free | m+n−2 |\n| Finiteunary | m+n−2 | Suﬃx-closed | mn−n+1 |\n| Finitebinary | (m−n+3)2−1 | Suﬃx-free | (m−1)2+1 |","| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| --- | --- | --- | --- | --- |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| Scheme | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- |\n| N(sizeofthesystem) | 8 | 8 | 8 | 5 |\n| M | {1} | {8} | {1,..,8} | {4,5} |\n| Frequency(Monobit)Test | 0 | 0.289667 | 0 | 0.108791 |\n| FrequencyTestwithinaBlock(M=20000) | 0 | 0 | 0 | 0.699313 |\n| RunsTest | 0 | 0.955835 | 0.816537 | 0.739918 |\n| TestfortheLongestRunofOnesinaBlock | 0 | 0 | 0 | 0.834308 |\n| BinaryMatrixRankTest | 0 | 0 | 0.699313 | 0.935716 |\n| DiscreteFourierTransform(Spectral)Test | 0 | 0 | 0 | 0.162606 |\n| Non-overlappingTemplateMatchingTest*(m=9) | 0 | 0 | 0 | 0.482340 |\n| OverlappingTemplateMatchingTest(m=9) | 0 | 0 | 0 | 0.401199 |","| Maurer’s“UniversalStatistical”Test(L=7,Q=1280) | 0 | 0.075719 | 0.080519 | 0.102526 |\n| --- | --- | --- | --- | --- |\n| LinearComplexityTest(M=500) | 0.955835 | 0.474986 | 0.051942 | 0.023545 |\n| SerialTest*(m=10) | 0 | 0 | 0 | 0.308152 |\n| ApproximateEntropyTest(m=10) | 0 | 0 | 0 | 0 |\n| CumulativeSums(Cusum)Test* | 0 | 0.553415 | 0 | 0.661814 |\n| RandomExcursionsTest* | 0.015102 | 0.45675 | 0.194299 | 0.293228 |\n| RandomExcursionsVariantTest* | 0.045440 | 0.49615 | 0.145418 | 0.330716 |\n| Success | 3/15 | 7/15 | 6/15 | 14/15 |",1]
["| Scheme | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- |\n| N(sizeofthesystem) | 8 | 8 | 8 | 5 |\n| M | {1} | {8} | {1,..,8} | {4,5} |\n| Frequency(Monobit)Test | 0 | 0.289667 | 0 | 0.108791 |\n| FrequencyTestwithinaBlock(M=20000) | 0 | 0 | 0 | 0.699313 |\n| RunsTest | 0 | 0.955835 | 0.816537 | 0.739918 |\n| TestfortheLongestRunofOnesinaBlock | 0 | 0 | 0 | 0.834308 |\n| BinaryMatrixRankTest | 0 | 0 | 0.699313 | 0.935716 |\n| DiscreteFourierTransform(Spectral)Test | 0 | 0 | 0 | 0.162606 |\n| Non-overlappingTemplateMatchingTest*(m=9) | 0 | 0 | 0 | 0.482340 |\n| OverlappingTemplateMatchingTest(m=9) | 0 | 0 | 0 | 0.401199 |","| Method | CIPRNG | XORshift | BBS |\n| --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.073128 | 0.145326 | 0.32435 |\n| FrequencyTestwithinaBlock | 0.719128 | 0.028817 | 0.000000 |\n| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |\n| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| Success | 15/15 | 14/15 | 2/15 |",0]
["| Scheme | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- |\n| N(sizeofthesystem) | 8 | 8 | 8 | 5 |\n| M | {1} | {8} | {1,..,8} | {4,5} |\n| Frequency(Monobit)Test | 0 | 0.289667 | 0 | 0.108791 |\n| FrequencyTestwithinaBlock(M=20000) | 0 | 0 | 0 | 0.699313 |\n| RunsTest | 0 | 0.955835 | 0.816537 | 0.739918 |\n| TestfortheLongestRunofOnesinaBlock | 0 | 0 | 0 | 0.834308 |\n| BinaryMatrixRankTest | 0 | 0 | 0.699313 | 0.935716 |\n| DiscreteFourierTransform(Spectral)Test | 0 | 0 | 0 | 0.162606 |\n| Non-overlappingTemplateMatchingTest*(m=9) | 0 | 0 | 0 | 0.482340 |\n| OverlappingTemplateMatchingTest(m=9) | 0 | 0 | 0 | 0.401199 |\n| Maurer’s“UniversalStatistical”Test(L=7,Q=1280) | 0 | 0.075719 | 0.080519 | 0.102526 |\n| LinearComplexityTest(M=500) | 0.955835 | 0.474986 | 0.051942 | 0.023545 |\n| SerialTest*(m=10) | 0 | 0 | 0 | 0.308152 |\n| ApproximateEntropyTest(m=10) | 0 | 0 | 0 | 0 |\n| CumulativeSums(Cusum)Test* | 0 | 0.553415 | 0 | 0.661814 |","| RandomExcursionsTest* | 0.015102 | 0.45675 | 0.194299 | 0.293228 |\n| --- | --- | --- | --- | --- |\n| RandomExcursionsVariantTest* | 0.045440 | 0.49615 | 0.145418 | 0.330716 |\n| Success | 3/15 | 7/15 | 6/15 | 14/15 |",1]
["| Scheme | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- |\n| N(sizeofthesystem) | 8 | 8 | 8 | 5 |\n| M | {1} | {8} | {1,..,8} | {4,5} |\n| Frequency(Monobit)Test | 0 | 0.289667 | 0 | 0.108791 |\n| FrequencyTestwithinaBlock(M=20000) | 0 | 0 | 0 | 0.699313 |\n| RunsTest | 0 | 0.955835 | 0.816537 | 0.739918 |\n| TestfortheLongestRunofOnesinaBlock | 0 | 0 | 0 | 0.834308 |\n| BinaryMatrixRankTest | 0 | 0 | 0.699313 | 0.935716 |\n| DiscreteFourierTransform(Spectral)Test | 0 | 0 | 0 | 0.162606 |\n| Non-overlappingTemplateMatchingTest*(m=9) | 0 | 0 | 0 | 0.482340 |\n| OverlappingTemplateMatchingTest(m=9) | 0 | 0 | 0 | 0.401199 |\n| Maurer’s“UniversalStatistical”Test(L=7,Q=1280) | 0 | 0.075719 | 0.080519 | 0.102526 |\n| LinearComplexityTest(M=500) | 0.955835 | 0.474986 | 0.051942 | 0.023545 |\n| SerialTest*(m=10) | 0 | 0 | 0 | 0.308152 |\n| ApproximateEntropyTest(m=10) | 0 | 0 | 0 | 0 |\n| CumulativeSums(Cusum)Test* | 0 | 0.553415 | 0 | 0.661814 |","| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| --- | --- | --- | --- |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |\n| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| Success | 15/15 | 14/15 | 2/15 |",0]
["| Variable | Description | Type | Scale | Category |\n| --- | --- | --- | --- | --- |\n| ClonesetID<br>Capturetime<br>Uploadtime<br>Updatetime<br>Categoriescount | Uniqueclonesetidentifier<br>Timeatwhichthisvideodatawascaptured<br>Timeatwhichthevideowasfirstpublished<br>Timeatwhichthevideowaslastupdated<br>Numberofcategoriesassociatedwiththisvideo | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– |\n| Nextweekviews | Numberofviewsbetweentwoweeks | Predicted | log | Videopopularity |\n| Ratingaverage<br>Totalcomments<br>Totaldislikes<br>Totalfavourites<br>Totallikes<br>Totalratings<br>Totalviewcount | Averagerating(minandmaxratingsalsomeasured)<br>Numberofcomments<br>Numberof’dislike’events<br>Numberoftimethisvideowas’favourited’<br>Numberof’like’events<br>Numberofratings<br>Numberofviews | Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor | linear<br>log<br>log<br>log<br>log<br>log<br>log | Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity |","| Uploaderage<br>Uploadercontacts<br>Uploaderfollowers<br>Uploadervideocount<br>Uploaderviewcount | Ageoftheuploader<br>Numberof(YouTube)’friends’oftheuploader<br>Numberoffollowersfortheuploader<br>Numberofvideosuploadedbytheuploader<br>Numberoftimeanyoftheuploader’svideoswereviewed | Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor | log<br>log<br>log<br>log<br>log | Uploadercharacteristics<br>Uploaderpopularity<br>Uploaderpopularity<br>Uploaderpopularity<br>Uploaderpopularity |\n| --- | --- | --- | --- | --- |\n| Videoage<br>Videokeywords<br>Videoquality | Ageofthevideo<br>Numberofkeywordsassignedtothevideo<br>Thebestquality(framesize)availableforthisvideo(higherisbetter) | Predictor<br>Predictor<br>Predictor | log<br>log<br>linear | Videocharacteristics<br>Videocharacteristics<br>Videocharacteristics |",1]
["| Variable | Description | Type | Scale | Category |\n| --- | --- | --- | --- | --- |\n| ClonesetID<br>Capturetime<br>Uploadtime<br>Updatetime<br>Categoriescount | Uniqueclonesetidentifier<br>Timeatwhichthisvideodatawascaptured<br>Timeatwhichthevideowasfirstpublished<br>Timeatwhichthevideowaslastupdated<br>Numberofcategoriesassociatedwiththisvideo | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– |\n| Nextweekviews | Numberofviewsbetweentwoweeks | Predicted | log | Videopopularity |\n| Ratingaverage<br>Totalcomments<br>Totaldislikes<br>Totalfavourites<br>Totallikes<br>Totalratings<br>Totalviewcount | Averagerating(minandmaxratingsalsomeasured)<br>Numberofcomments<br>Numberof’dislike’events<br>Numberoftimethisvideowas’favourited’<br>Numberof’like’events<br>Numberofratings<br>Numberofviews | Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor | linear<br>log<br>log<br>log<br>log<br>log<br>log | Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity |","| TextRetrievalDatasets |  |  |  |\n| --- | --- | --- | --- |\n| Label | Description | #queries | #images |\n| IC11 | ICDAR2011testdataset. | 538 | 255 |\n| SVT | SVTtestdataset. | 427 | 249 |\n| STR | IIITSTRtextretrievaldataset. | 50 | 10k |\n| Sports | IIITSports-10ktextretrievaldataset. | 10 | 10k |\n| BBCNews | AdatasetofkeyframesfromBBCNewsvideo. | - | 2.3m |",0]
["| Variable | Description | Type | Scale | Category |\n| --- | --- | --- | --- | --- |\n| ClonesetID<br>Capturetime<br>Uploadtime<br>Updatetime<br>Categoriescount | Uniqueclonesetidentifier<br>Timeatwhichthisvideodatawascaptured<br>Timeatwhichthevideowasfirstpublished<br>Timeatwhichthevideowaslastupdated<br>Numberofcategoriesassociatedwiththisvideo | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– |\n| Nextweekviews | Numberofviewsbetweentwoweeks | Predicted | log | Videopopularity |","| Ratingaverage<br>Totalcomments<br>Totaldislikes<br>Totalfavourites<br>Totallikes<br>Totalratings<br>Totalviewcount | Averagerating(minandmaxratingsalsomeasured)<br>Numberofcomments<br>Numberof’dislike’events<br>Numberoftimethisvideowas’favourited’<br>Numberof’like’events<br>Numberofratings<br>Numberofviews | Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor | linear<br>log<br>log<br>log<br>log<br>log<br>log | Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity<br>Videopopularity |\n| --- | --- | --- | --- | --- |\n| Uploaderage<br>Uploadercontacts<br>Uploaderfollowers<br>Uploadervideocount<br>Uploaderviewcount | Ageoftheuploader<br>Numberof(YouTube)’friends’oftheuploader<br>Numberoffollowersfortheuploader<br>Numberofvideosuploadedbytheuploader<br>Numberoftimeanyoftheuploader’svideoswereviewed | Predictor<br>Predictor<br>Predictor<br>Predictor<br>Predictor | log<br>log<br>log<br>log<br>log | Uploadercharacteristics<br>Uploaderpopularity<br>Uploaderpopularity<br>Uploaderpopularity<br>Uploaderpopularity |\n| Videoage<br>Videokeywords<br>Videoquality | Ageofthevideo<br>Numberofkeywordsassignedtothevideo<br>Thebestquality(framesize)availableforthisvideo(higherisbetter) | Predictor<br>Predictor<br>Predictor | log<br>log<br>linear | Videocharacteristics<br>Videocharacteristics<br>Videocharacteristics |",1]
["| Variable | Description | Type | Scale | Category |\n| --- | --- | --- | --- | --- |\n| ClonesetID<br>Capturetime<br>Uploadtime<br>Updatetime<br>Categoriescount | Uniqueclonesetidentifier<br>Timeatwhichthisvideodatawascaptured<br>Timeatwhichthevideowasfirstpublished<br>Timeatwhichthevideowaslastupdated<br>Numberofcategoriesassociatedwiththisvideo | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– | –<br>–<br>–<br>–<br>– |\n| Nextweekviews | Numberofviewsbetweentwoweeks | Predicted | log | Videopopularity |","| IC11 | ICDAR2011testdataset. | 538 | 255 |\n| --- | --- | --- | --- |\n| SVT | SVTtestdataset. | 427 | 249 |\n| STR | IIITSTRtextretrievaldataset. | 50 | 10k |\n| Sports | IIITSports-10ktextretrievaldataset. | 10 | 10k |\n| BBCNews | AdatasetofkeyframesfromBBCNewsvideo. | - | 2.3m |",0]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| KSVDG | 33.57 | 30.18 | 28.83 | 26.43 | 25.32 |\n| KSVDS | 34.23 | 31.02 | 28.94 | 26.66 | 25.48 |\n| KSVDC | 34.46 | 32.24 | 29.62 | 26.76 | 25.67 |","| SCFW | 34.83 | 33.45 | 30.28 | 26.27 | 25.32 |\n| --- | --- | --- | --- | --- | --- |\n| SCLW | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |",1]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| KSVDG | 33.57 | 30.18 | 28.83 | 26.43 | 25.32 |\n| KSVDS | 34.23 | 31.02 | 28.94 | 26.66 | 25.48 |\n| KSVDC | 34.46 | 32.24 | 29.62 | 26.76 | 25.67 |","|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| r=0 | 30.47 | 28.48 | 27.67 | 26.20 | 24.06 |\n| r=1 | 32.23 | 30.27 | 29.95 | 26.82 | 25.03 |\n| r=3 | 35.46 | 33.27 | 31.80 | 28.97 | 26.21 |\n| r=4 | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |\n| r=7 | 36.18 | 34.05 | 32.58 | 28.94 | 26.37 |\n| r=9 | 36.07 | 33.84 | 31.73 | 28.31 | 26.02 |\n| r=15 | 34.57 | 31.28 | 30.80 | 27.67 | 25.83 |",0]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| KSVDG | 33.57 | 30.18 | 28.83 | 26.43 | 25.32 |","| KSVDS | 34.23 | 31.02 | 28.94 | 26.66 | 25.48 |\n| --- | --- | --- | --- | --- | --- |\n| KSVDC | 34.46 | 32.24 | 29.62 | 26.76 | 25.67 |\n| SCFW | 34.83 | 33.45 | 30.28 | 26.27 | 25.32 |\n| SCLW | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |",1]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| KSVDG | 33.57 | 30.18 | 28.83 | 26.43 | 25.32 |","| r=9 | 36.07 | 33.84 | 31.73 | 28.31 | 26.02 |\n| --- | --- | --- | --- | --- | --- |\n| r=15 | 34.57 | 31.28 | 30.80 | 27.67 | 25.83 |",0]
["| Dataset | Initialalarms | Aggregatedalarms |\n| --- | --- | --- |\n| A | 129 | 16 |\n| B | 658 | 21 |\n| C | 9273 | 18 |","| D | 203 | 16 |\n| --- | --- | --- |\n| All | 10507 | 22 |",1]
["| Dataset | Initialalarms | Aggregatedalarms |\n| --- | --- | --- |\n| A | 129 | 16 |\n| B | 658 | 21 |\n| C | 9273 | 18 |","| method | datasetA | datasetB |\n| --- | --- | --- |\n| ES | 4.32 | 7.02 |\n| ES4LT | 0.97 | 3.59 |\n| MD | 11.30 | 22.82 |\n| MD4LT | 1.63 | 1.25 |\n| VO | 4.49 | 17.19 |\n| VO4LT | 1.86 | 3.05 |",0]
["| Dataset | Initialalarms | Aggregatedalarms |\n| --- | --- | --- |\n| A | 129 | 16 |","| B | 658 | 21 |\n| --- | --- | --- |\n| C | 9273 | 18 |\n| D | 203 | 16 |\n| All | 10507 | 22 |",1]
["| Dataset | Initialalarms | Aggregatedalarms |\n| --- | --- | --- |\n| A | 129 | 16 |","| VO | 4.49 | 17.19 |\n| --- | --- | --- |\n| VO4LT | 1.86 | 3.05 |",0]
["| Metric | Value |\n| --- | --- |\n| NumberofFilers | 2,080 |\n| NumberofFilings | 2,175 |\n| NumberofFilingDocuments | 224,187 |\n| TimetoRun | 24hrs |","| SizeofRawDocuments | 3.7GB |\n| --- | --- |\n| SizeofExtractedText | 1.7GB |",1]
["| Metric | Value |\n| --- | --- |\n| NumberofFilers | 2,080 |\n| NumberofFilings | 2,175 |\n| NumberofFilingDocuments | 224,187 |\n| TimetoRun | 24hrs |","| Metric | Description |\n| --- | --- |\n| Executiontime | Measuredinseconds |\n| CPUusage | TotalCPUtimepersecond |\n| Totalmemorysize | MeasuredinGB |\n| CPI | Cyclesperinstruction |\n| MAI | Thenumberofmemoryaccesses<br>perinstruction |",0]
["| Metric | Value |\n| --- | --- |\n| NumberofFilers | 2,080 |\n| NumberofFilings | 2,175 |","| NumberofFilingDocuments | 224,187 |\n| --- | --- |\n| TimetoRun | 24hrs |\n| SizeofRawDocuments | 3.7GB |\n| SizeofExtractedText | 1.7GB |",1]
["| Metric | Value |\n| --- | --- |\n| NumberofFilers | 2,080 |\n| NumberofFilings | 2,175 |","| Totalmemorysize | MeasuredinGB |\n| --- | --- |\n| CPI | Cyclesperinstruction |\n| MAI | Thenumberofmemoryaccesses<br>perinstruction |",0]
["| Architectures | Accuracy |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |\n| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |\n| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |","| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |\n| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",1]
["| Architectures | Accuracy |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |\n| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |\n| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |","|  | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 |\n| CNN-static | 0.741 | 0.725 | 0.715 | 0.760 | 0.728 | 0.746 | 0.746 | 0.781 | 0.746 |\n| CNN+LSTM | 1.042 | 1.077 | 1.029 | 1.092 | 1.029 | 1.013 | 1.031 | 1.035 | 1.054 |\n| CNN+GRU | 1.022 | 1.034 | 0.995 | 1.081 | 0.999 | 1.012 | 1.008 | 1.023 | 1.045 |",0]
["| Architectures | Accuracy |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |\n| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |\n| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |\n| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |","| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",1]
["| Architectures | Accuracy |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |\n| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |\n| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |\n| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |","| CNN+LSTM | 1.042 | 1.077 | 1.029 | 1.092 | 1.029 | 1.013 | 1.031 | 1.035 | 1.054 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CNN+GRU | 1.022 | 1.034 | 0.995 | 1.081 | 0.999 | 1.012 | 1.008 | 1.023 | 1.045 |",0]
["|  | DiscontinuityComponents |  |  |\n| --- | --- | --- | --- |\n| Value | d.x | d.y | d.z |\n| 0 | Noedge | Noedge | Litfragment |\n| 0.25 | Right-sideedge | Top-sideedge | – |\n| 0.5 | Left-sideedge | Bottom-sideedge | – |","| 0.75 | Left-right-sideedge | Top-bottom-sideedge | – |\n| --- | --- | --- | --- |\n| 1 | – | – | Shadowedfragment |",1]
["|  | DiscontinuityComponents |  |  |\n| --- | --- | --- | --- |\n| Value | d.x | d.y | d.z |\n| 0 | Noedge | Noedge | Litfragment |\n| 0.25 | Right-sideedge | Top-sideedge | – |\n| 0.5 | Left-sideedge | Bottom-sideedge | – |","| Symbol | Meaning | Separatingdistance |\n| --- | --- | --- |\n| E | Entropy | 2.0267 |\n| B | Totalnon-zerohistogrambins | 1.7142 |\n| M2 | Secondordercentralmoment | 1.5166 |\n| Γ(h)4 | Rightdiagonaledge | 1.2329 |\n| Γ(h)3 | Leftdiagonaledge | 1.2047 |\n| M1 | Firstordermoment(mean) | 0.8501 |\n| Γ(h)2 | Verticaledge | 0.7979 |\n| Γ(h)1 | Horizontaledge | 0.8353 |",0]
["|  | DiscontinuityComponents |  |  |\n| --- | --- | --- | --- |\n| Value | d.x | d.y | d.z |","| 0 | Noedge | Noedge | Litfragment |\n| --- | --- | --- | --- |\n| 0.25 | Right-sideedge | Top-sideedge | – |\n| 0.5 | Left-sideedge | Bottom-sideedge | – |\n| 0.75 | Left-right-sideedge | Top-bottom-sideedge | – |\n| 1 | – | – | Shadowedfragment |",1]
["|  | DiscontinuityComponents |  |  |\n| --- | --- | --- | --- |\n| Value | d.x | d.y | d.z |","| Γ(h)4 | Rightdiagonaledge | 1.2329 |\n| --- | --- | --- |\n| Γ(h)3 | Leftdiagonaledge | 1.2047 |\n| M1 | Firstordermoment(mean) | 0.8501 |\n| Γ(h)2 | Verticaledge | 0.7979 |\n| Γ(h)1 | Horizontaledge | 0.8353 |",0]
["| Description | B3<br>PRF | Pairwise<br>PRF |\n| --- | --- | --- |\n| Baseline | 0.99010.97600.9830 | 0.99480.97380.9842 |\n| Blocking=SFI<br>Blocking=Doublemetaphone<br>Blocking=NYSIIS<br>Blocking=Soundex | 0.99010.97600.9830<br>0.98560.98270.9841<br>0.98750.98260.9850<br>0.98860.97450.9815 | 0.99480.97380.9842<br>0.99270.98170.9871<br>0.99360.98140.9875<br>0.99350.97250.9828 |\n| Nonamenormalization<br>Namenormalization | 0.98870.96970.9791<br>0.99010.97600.9830 | 0.99310.96580.9793<br>0.99480.97380.9842 |\n| Classiﬁer=GBRT<br>Classiﬁer=RandomForests<br>Classiﬁer=LinearRegression | 0.99010.97600.9830<br>0.99090.97830.9846<br>0.97490.95840.9666 | 0.99480.97380.9842<br>0.99570.97520.9854<br>0.97170.95690.9643 |","| Trainingpairs=Non-blocked,uniform<br>Trainingpairs=Blocked,uniform<br>Trainingpairs=Blocked,balanced | 0.97930.96300.9711<br>0.98540.97200.9786<br>0.99010.97600.9830 | 0.97560.96290.9692<br>0.98500.97070.9778<br>0.99480.97380.9842 |\n| --- | --- | --- |\n| Clustering=Averagelinkage<br>Clustering=Singlelinkage<br>Clustering=Completelinkage | 0.99010.97600.9830<br>0.97410.96030.9671<br>0.98620.97090.9785 | 0.99480.97380.9842<br>0.95430.96260.9584<br>0.99200.96880.9803 |\n| Nocut<br>Globalcut<br>Blockcut | 0.90240.98280.9409<br>0.98920.97370.9814<br>0.99010.97600.9830 | 0.82980.97760.8977<br>0.99400.97270.9832<br>0.99480.97380.9842 |\n| Combinedbestsettings | 0.98880.98480.9868 | 0.99510.98310.9890 |",1]
["| Description | B3<br>PRF | Pairwise<br>PRF |\n| --- | --- | --- |\n| Baseline | 0.99010.97600.9830 | 0.99480.97380.9842 |\n| Blocking=SFI<br>Blocking=Doublemetaphone<br>Blocking=NYSIIS<br>Blocking=Soundex | 0.99010.97600.9830<br>0.98560.98270.9841<br>0.98750.98260.9850<br>0.98860.97450.9815 | 0.99480.97380.9842<br>0.99270.98170.9871<br>0.99360.98140.9875<br>0.99350.97250.9828 |\n| Nonamenormalization<br>Namenormalization | 0.98870.96970.9791<br>0.99010.97600.9830 | 0.99310.96580.9793<br>0.99480.97380.9842 |\n| Classiﬁer=GBRT<br>Classiﬁer=RandomForests<br>Classiﬁer=LinearRegression | 0.99010.97600.9830<br>0.99090.97830.9846<br>0.97490.95840.9666 | 0.99480.97380.9842<br>0.99570.97520.9854<br>0.97170.95690.9643 |","| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 |\n| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |\n| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",0]
["| Description | B3<br>PRF | Pairwise<br>PRF |\n| --- | --- | --- |\n| Baseline | 0.99010.97600.9830 | 0.99480.97380.9842 |\n| Blocking=SFI<br>Blocking=Doublemetaphone<br>Blocking=NYSIIS<br>Blocking=Soundex | 0.99010.97600.9830<br>0.98560.98270.9841<br>0.98750.98260.9850<br>0.98860.97450.9815 | 0.99480.97380.9842<br>0.99270.98170.9871<br>0.99360.98140.9875<br>0.99350.97250.9828 |\n| Nonamenormalization<br>Namenormalization | 0.98870.96970.9791<br>0.99010.97600.9830 | 0.99310.96580.9793<br>0.99480.97380.9842 |","| Classiﬁer=GBRT<br>Classiﬁer=RandomForests<br>Classiﬁer=LinearRegression | 0.99010.97600.9830<br>0.99090.97830.9846<br>0.97490.95840.9666 | 0.99480.97380.9842<br>0.99570.97520.9854<br>0.97170.95690.9643 |\n| --- | --- | --- |\n| Trainingpairs=Non-blocked,uniform<br>Trainingpairs=Blocked,uniform<br>Trainingpairs=Blocked,balanced | 0.97930.96300.9711<br>0.98540.97200.9786<br>0.99010.97600.9830 | 0.97560.96290.9692<br>0.98500.97070.9778<br>0.99480.97380.9842 |\n| Clustering=Averagelinkage<br>Clustering=Singlelinkage<br>Clustering=Completelinkage | 0.99010.97600.9830<br>0.97410.96030.9671<br>0.98620.97090.9785 | 0.99480.97380.9842<br>0.95430.96260.9584<br>0.99200.96880.9803 |\n| Nocut<br>Globalcut<br>Blockcut | 0.90240.98280.9409<br>0.98920.97370.9814<br>0.99010.97600.9830 | 0.82980.97760.8977<br>0.99400.97270.9832<br>0.99480.97380.9842 |\n| Combinedbestsettings | 0.98880.98480.9868 | 0.99510.98310.9890 |",1]
["| Description | B3<br>PRF | Pairwise<br>PRF |\n| --- | --- | --- |\n| Baseline | 0.99010.97600.9830 | 0.99480.97380.9842 |\n| Blocking=SFI<br>Blocking=Doublemetaphone<br>Blocking=NYSIIS<br>Blocking=Soundex | 0.99010.97600.9830<br>0.98560.98270.9841<br>0.98750.98260.9850<br>0.98860.97450.9815 | 0.99480.97380.9842<br>0.99270.98170.9871<br>0.99360.98140.9875<br>0.99350.97250.9828 |\n| Nonamenormalization<br>Namenormalization | 0.98870.96970.9791<br>0.99010.97600.9830 | 0.99310.96580.9793<br>0.99480.97380.9842 |","| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",0]
["| Dataset | #Instances | #Features |\n| --- | --- | --- |\n| Synthetic | 500 | 10 |\n| CAPTCHA | 1886 | 26 |","| Phishing | 11055 | 46 |\n| --- | --- | --- |\n| Digits08 | 1499 | 16 |\n| Digits17 | 1557 | 16 |",1]
["| Dataset | #Instances | #Features |\n| --- | --- | --- |\n| Synthetic | 500 | 10 |\n| CAPTCHA | 1886 | 26 |","| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |\n| Cancer | 699 | 10 |\n| Qsar | 1055 | 41 |\n| Sonar | 208 | 60 |\n| Theorem | 3060 | 51 |\n| Diabetes | 768 | 8 |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",0]
["| Dataset | #Instances | #Features |\n| --- | --- | --- |\n| Synthetic | 500 | 10 |","| CAPTCHA | 1886 | 26 |\n| --- | --- | --- |\n| Phishing | 11055 | 46 |\n| Digits08 | 1499 | 16 |\n| Digits17 | 1557 | 16 |",1]
["| Dataset | #Instances | #Features |\n| --- | --- | --- |\n| Synthetic | 500 | 10 |","| KDD99 | 494021 | 41 |\n| --- | --- | --- |\n| CAPTCHA | 1885 | 26 |",0]
["| reference | quantity |\n| --- | --- |\n| T-shirt | 5 |","| Jeans | 10 |\n| --- | --- |\n| Soda | 2 |\n| Friedpotatoes | 1 |\n| Water | 12 |",1]
["| reference | quantity |\n| --- | --- |\n| T-shirt | 5 |","| reference | Day1 | Day2 | Day3 | ··· | Day365 |\n| --- | --- | --- | --- | --- | --- |\n| T-shirt | 100 | 150 | 63 | ··· | 45 |\n| Jeans | 50 | 96 | 7 | ··· | 33 |\n| Soda | 45 | 35 | 14 | ··· | 10 |\n| Friedpotatoes | 36 | 23 | 23 | ··· | 5 |\n| Water | 85 | 75 | 78 | ··· | 20 |",0]
["| reference | quantity |\n| --- | --- |\n| T-shirt | 5 |","| Jeans | 10 |\n| --- | --- |\n| Soda | 2 |\n| Friedpotatoes | 1 |\n| Water | 12 |",1]
["| reference | quantity |\n| --- | --- |\n| T-shirt | 5 |","| Jeans | 50 | 96 | 7 | ··· | 33 |\n| --- | --- | --- | --- | --- | --- |\n| Soda | 45 | 35 | 14 | ··· | 10 |\n| Friedpotatoes | 36 | 23 | 23 | ··· | 5 |\n| Water | 85 | 75 | 78 | ··· | 20 |",0]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 11<br>11<br>11<br>11 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.89<br>1.00 | 0.50<br>4.99<br>49.85<br>497.92 | 0.00<br>0.01<br>0.22<br>1.18 |","| 12<br>12<br>12<br>12 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.72<br>1.00 | 0.65<br>6.49<br>64.72<br>647.08 | 0.06<br>0.24<br>2.14<br>20.84 |\n| --- | --- | --- | --- | --- |\n| 13<br>13<br>13<br>13 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.41<br>1.00 | 0.82<br>7.92<br>80.08<br>798.90 | 0.15<br>0.28<br>7.90<br>70.81 |\n| 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |\n| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 |",1]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 11<br>11<br>11<br>11 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.89<br>1.00 | 0.50<br>4.99<br>49.85<br>497.92 | 0.00<br>0.01<br>0.22<br>1.18 |","| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 8.08<br>16.14<br>24.24<br>32.32<br>40.35<br>48.42<br>56.44<br>64.55<br>72.82<br>80.81 | 0.57<br>1.11<br>1.70<br>2.24<br>2.79<br>3.35<br>3.96<br>4.25<br>5.75<br>5.28 |\n| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |\n| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |\n| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |",0]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 11<br>11<br>11<br>11 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.89<br>1.00 | 0.50<br>4.99<br>49.85<br>497.92 | 0.00<br>0.01<br>0.22<br>1.18 |\n| 12<br>12<br>12<br>12 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.72<br>1.00 | 0.65<br>6.49<br>64.72<br>647.08 | 0.06<br>0.24<br>2.14<br>20.84 |","| 13<br>13<br>13<br>13 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.41<br>1.00 | 0.82<br>7.92<br>80.08<br>798.90 | 0.15<br>0.28<br>7.90<br>70.81 |\n| --- | --- | --- | --- | --- |\n| 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |\n| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 |",1]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 11<br>11<br>11<br>11 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.89<br>1.00 | 0.50<br>4.99<br>49.85<br>497.92 | 0.00<br>0.01<br>0.22<br>1.18 |\n| 12<br>12<br>12<br>12 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.72<br>1.00 | 0.65<br>6.49<br>64.72<br>647.08 | 0.06<br>0.24<br>2.14<br>20.84 |","| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |\n| --- | --- | --- | --- | --- |\n| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |\n| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |",0]
["| n | k | Solved | Impossible | Unknown | Total |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 2 | 0 | 0 | 2 |\n| 2 | 2 | 2 | 0 | 0 | 2 |\n| 3 | 1 | 4 | 0 | 0 | 4 |","| 3 | 2 | 9 | 2 | 0 | 11 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 1 | 14 | 6 | 0 | 20 |\n| 5 | 1 | 28 | 34 | 6 | 68 |",1]
["| n | k | Solved | Impossible | Unknown | Total |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 2 | 0 | 0 | 2 |\n| 2 | 2 | 2 | 0 | 0 | 2 |\n| 3 | 1 | 4 | 0 | 0 | 4 |","| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |\n| 2.25M | 1383 | 1110 |\n| 4M | 1323 | 2078 |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",0]
["| n | k | Solved | Impossible | Unknown | Total |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 2 | 0 | 0 | 2 |\n| 2 | 2 | 2 | 0 | 0 | 2 |","| 3 | 1 | 4 | 0 | 0 | 4 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 2 | 9 | 2 | 0 | 11 |\n| 4 | 1 | 14 | 6 | 0 | 20 |\n| 5 | 1 | 28 | 34 | 6 | 68 |",1]
["| n | k | Solved | Impossible | Unknown | Total |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1 | 2 | 0 | 0 | 2 |\n| 2 | 2 | 2 | 0 | 0 | 2 |","| 6.25M | 1261 | 4093 |\n| --- | --- | --- |\n| 9M | 1256 | 7031 |",0]
["| State-of-the-ArtSaliencyMethods | AUC-BorjiPerformance |\n| --- | --- |\n| Ittietal | 0.7694 |","| SED | 0.6415 |\n| --- | --- |\n| SAD | 0.7521 |\n| GS | 0.7597 |\n| SED-OCM-GS | 0.7863 |\n| SED-OCM-SAD | 0.8008 |\n| SGC | 0.8205 |",1]
["| State-of-the-ArtSaliencyMethods | AUC-BorjiPerformance |\n| --- | --- |\n| Ittietal | 0.7694 |","| Method | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| SE | 0.643 | 0.680 | 0.608 |\n| HED | 0.677 | 0.715 | 0.618 |\n| CEDN | 0.686 | 0.718 | 0.687 |\n| FCSN | 0.698 | 0.729 | 0.705 |",0]
["| State-of-the-ArtSaliencyMethods | AUC-BorjiPerformance |\n| --- | --- |\n| Ittietal | 0.7694 |\n| SED | 0.6415 |\n| SAD | 0.7521 |\n| GS | 0.7597 |\n| SED-OCM-GS | 0.7863 |","| SED-OCM-SAD | 0.8008 |\n| --- | --- |\n| SGC | 0.8205 |",1]
["| State-of-the-ArtSaliencyMethods | AUC-BorjiPerformance |\n| --- | --- |\n| Ittietal | 0.7694 |\n| SED | 0.6415 |\n| SAD | 0.7521 |\n| GS | 0.7597 |\n| SED-OCM-GS | 0.7863 |","| CEDN | 0.686 | 0.718 | 0.687 |\n| --- | --- | --- | --- |\n| FCSN | 0.698 | 0.729 | 0.705 |",0]
["| n | Nodecount(M) | EdgeCount | Triangles |\n| --- | --- | --- | --- |\n| 8 | 65536 | 260610 | 520200 |","| 9 | 262144 | 1045506 | 2088968 |\n| --- | --- | --- | --- |\n| 10 | 1048576 | 4188162 | 8372232 |\n| 11 | 4194304 | 16764930 | 33521672 |\n| 12 | 16777216 | 67084290 | 134152200 |\n| 13 | 67108864 | 268386306 | 536739848 |",1]
["| n | Nodecount(M) | EdgeCount | Triangles |\n| --- | --- | --- | --- |\n| 8 | 65536 | 260610 | 520200 |","| Name | Nodes | Edges | TriangleCount | ∆ | tmax | δee∈E(G) | 3∆t |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AS | 7,716 | 12,572 | 6,584 | 344 | 2,047 | 595,632 | 6,794,688 |\n| Oregon | 11,492 | 23,409 | 19,894 | 537 | 3,638 | 2,347,560 | 32,049,234 |\n| Enron | 36,692 | 183,831 | 727,044 | 420 | 17,744 | 75,237,684 | 916,075,440 |\n| ca-HepPh | 12,008 | 118,489 | 3,358,499 | 450 | 39,633 | 1.8839×10 | 4.534×10 |\n| AstroPh | 18,772 | 198,050 | 1,351,441 | 350 | 11,269 | 148,765,753 | 1.419×10 |",0]
["| n | Nodecount(M) | EdgeCount | Triangles |\n| --- | --- | --- | --- |\n| 8 | 65536 | 260610 | 520200 |\n| 9 | 262144 | 1045506 | 2088968 |\n| 10 | 1048576 | 4188162 | 8372232 |\n| 11 | 4194304 | 16764930 | 33521672 |","| 12 | 16777216 | 67084290 | 134152200 |\n| --- | --- | --- | --- |\n| 13 | 67108864 | 268386306 | 536739848 |",1]
["| n | Nodecount(M) | EdgeCount | Triangles |\n| --- | --- | --- | --- |\n| 8 | 65536 | 260610 | 520200 |\n| 9 | 262144 | 1045506 | 2088968 |\n| 10 | 1048576 | 4188162 | 8372232 |\n| 11 | 4194304 | 16764930 | 33521672 |","| Enron | 36,692 | 183,831 | 727,044 | 420 | 17,744 | 75,237,684 | 916,075,440 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ca-HepPh | 12,008 | 118,489 | 3,358,499 | 450 | 39,633 | 1.8839×10 | 4.534×10 |\n| AstroPh | 18,772 | 198,050 | 1,351,441 | 350 | 11,269 | 148,765,753 | 1.419×10 |",0]
["|  | Methods | N=1200 | N=2400 | N=4800 | N=9600 | N=19200 | N=38400 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| D=8 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 0.53<br>0.55<br>0.15<br>0.02 | 1.93<br>2.30<br>0.33<br>0.10 | 8.54<br>9.73<br>0.81<br>0.38 | 37.81<br>41.35<br>2.43<br>1.71 | 154.82<br>178.32<br>6.82<br>7.93 | 681.05<br>757.29<br>18.38<br>31.41 |\n| D=16 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 0.56<br>0.64<br>0.28<br>0.02 | 2.34<br>2.70<br>1.06<br>0.10 | 9.62<br>11.31<br>5.04<br>0.38 | 53.64<br>47.73<br>23.97<br>1.78 | 222.81<br>205.51<br>91.33<br>7.98 | 930.93<br>871.94<br>319.01<br>31.31 |\n| D=32 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.21<br>0.89<br>0.43<br>0.02 | 3.91<br>3.68<br>1.78<br>0.11 | 21.24<br>15.54<br>9.21<br>0.40 | 87.20<br>65.48<br>39.37<br>1.81 | 359.25<br>286.74<br>166.98<br>8.35 | 1446.36<br>1154.05<br>688.55<br>33.40 |\n| D=64 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.50<br>2.14<br>0.78<br>0.03 | 9.45<br>8.54<br>3.56<br>0.12 | 38.70<br>36.11<br>14.66<br>0.44 | 153.47<br>145.83<br>59.28<br>2.00 | 626.60<br>587.26<br>242.98<br>9.52 | 2521.50<br>2363.61<br>1008.84<br>37.61 |","| D=80 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.81<br>2.57<br>0.98<br>0.03 | 11.72<br>10.20<br>4.29<br>0.12 | 47.56<br>42.48<br>17.22<br>0.46 | 189.25<br>177.36<br>71.43<br>2.05 | 761.09<br>708.29<br>302.44<br>9.93 | 3053.40<br>2811.92<br>1176.39<br>39.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| D=96 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 2.25<br>2.97<br>1.20<br>0.03 | 14.09<br>12.47<br>4.96<br>0.13 | 56.68<br>49.06<br>19.68<br>0.48 | 230.40<br>213.19<br>82.45<br>2.07 | 979.44<br>872.31<br>339.81<br>10.41 | 3652.78<br>3369.34<br>1334.35<br>43.74 |",1]
["|  | Methods | N=1200 | N=2400 | N=4800 | N=9600 | N=19200 | N=38400 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| D=8 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 0.53<br>0.55<br>0.15<br>0.02 | 1.93<br>2.30<br>0.33<br>0.10 | 8.54<br>9.73<br>0.81<br>0.38 | 37.81<br>41.35<br>2.43<br>1.71 | 154.82<br>178.32<br>6.82<br>7.93 | 681.05<br>757.29<br>18.38<br>31.41 |\n| D=16 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 0.56<br>0.64<br>0.28<br>0.02 | 2.34<br>2.70<br>1.06<br>0.10 | 9.62<br>11.31<br>5.04<br>0.38 | 53.64<br>47.73<br>23.97<br>1.78 | 222.81<br>205.51<br>91.33<br>7.98 | 930.93<br>871.94<br>319.01<br>31.31 |\n| D=32 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.21<br>0.89<br>0.43<br>0.02 | 3.91<br>3.68<br>1.78<br>0.11 | 21.24<br>15.54<br>9.21<br>0.40 | 87.20<br>65.48<br>39.37<br>1.81 | 359.25<br>286.74<br>166.98<br>8.35 | 1446.36<br>1154.05<br>688.55<br>33.40 |\n| D=64 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.50<br>2.14<br>0.78<br>0.03 | 9.45<br>8.54<br>3.56<br>0.12 | 38.70<br>36.11<br>14.66<br>0.44 | 153.47<br>145.83<br>59.28<br>2.00 | 626.60<br>587.26<br>242.98<br>9.52 | 2521.50<br>2363.61<br>1008.84<br>37.61 |","| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["|  | Methods | N=1200 | N=2400 | N=4800 | N=9600 | N=19200 | N=38400 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| D=8 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 0.53<br>0.55<br>0.15<br>0.02 | 1.93<br>2.30<br>0.33<br>0.10 | 8.54<br>9.73<br>0.81<br>0.38 | 37.81<br>41.35<br>2.43<br>1.71 | 154.82<br>178.32<br>6.82<br>7.93 | 681.05<br>757.29<br>18.38<br>31.41 |","| D=16 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 0.56<br>0.64<br>0.28<br>0.02 | 2.34<br>2.70<br>1.06<br>0.10 | 9.62<br>11.31<br>5.04<br>0.38 | 53.64<br>47.73<br>23.97<br>1.78 | 222.81<br>205.51<br>91.33<br>7.98 | 930.93<br>871.94<br>319.01<br>31.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| D=32 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.21<br>0.89<br>0.43<br>0.02 | 3.91<br>3.68<br>1.78<br>0.11 | 21.24<br>15.54<br>9.21<br>0.40 | 87.20<br>65.48<br>39.37<br>1.81 | 359.25<br>286.74<br>166.98<br>8.35 | 1446.36<br>1154.05<br>688.55<br>33.40 |\n| D=64 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.50<br>2.14<br>0.78<br>0.03 | 9.45<br>8.54<br>3.56<br>0.12 | 38.70<br>36.11<br>14.66<br>0.44 | 153.47<br>145.83<br>59.28<br>2.00 | 626.60<br>587.26<br>242.98<br>9.52 | 2521.50<br>2363.61<br>1008.84<br>37.61 |\n| D=80 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 1.81<br>2.57<br>0.98<br>0.03 | 11.72<br>10.20<br>4.29<br>0.12 | 47.56<br>42.48<br>17.22<br>0.46 | 189.25<br>177.36<br>71.43<br>2.05 | 761.09<br>708.29<br>302.44<br>9.93 | 3053.40<br>2811.92<br>1176.39<br>39.98 |\n| D=96 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 2.25<br>2.97<br>1.20<br>0.03 | 14.09<br>12.47<br>4.96<br>0.13 | 56.68<br>49.06<br>19.68<br>0.48 | 230.40<br>213.19<br>82.45<br>2.07 | 979.44<br>872.31<br>339.81<br>10.41 | 3652.78<br>3369.34<br>1334.35<br>43.74 |",1]
["|  | Methods | N=1200 | N=2400 | N=4800 | N=9600 | N=19200 | N=38400 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| D=8 | BF-Matlab<br>BF-C<br>KDT-C<br>BF-CUDA | 0.53<br>0.55<br>0.15<br>0.02 | 1.93<br>2.30<br>0.33<br>0.10 | 8.54<br>9.73<br>0.81<br>0.38 | 37.81<br>41.35<br>2.43<br>1.71 | 154.82<br>178.32<br>6.82<br>7.93 | 681.05<br>757.29<br>18.38<br>31.41 |","| (d,d)2∞ |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["| Metric | Noise | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- |\n| mAP | nonoise | 0.9790.9800.4050.6780.686 |\n| mAP | noise | 0.9710.9390.0610.2130.157 |","| MLE | nonoise | 0.8600.9221.6561.2451.188 |\n| --- | --- | --- |\n| MLE | noise | 1.0121.0781.7661.4091.383 |",1]
["| Metric | Noise | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- |\n| mAP | nonoise | 0.9790.9800.4050.6780.686 |\n| mAP | noise | 0.9710.9390.0610.2130.157 |","| Metric | Noise | Resolution | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- | --- |\n| mAP | no | 160x120 | 0.8880.8500.6420.8030.674 |\n| mAP | yes | 160x120 | 0.8110.7300.0660.1660.132 |\n| MLE | no | 160x120 | 1.3651.3911.9081.3691.551 |\n| MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 |\n| R | no | 160x120 | 0.9700.9290.8000.9290.852 |\n| R | yes | 160x120 | 0.8110.7110.1410.1360.148 |\n| mAP | no | 320x240 | 0.8920.8160.4050.6780.686 |\n| mAP | yes | 320x240 | 0.8460.6870.0180.0720.077 |\n| MLE | no | 320x240 | 1.4551.4501.9141.4381.592 |\n| MLE | yes | 320x240 | 1.5331.6052.2001.7641.848 |\n| R | no | 320x240 | 0.9590.9200.8120.8960.827 |\n| R | yes | 320x240 | 0.7650.6750.0990.0810.104 |",0]
["| Metric | Noise | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- |\n| mAP | nonoise | 0.9790.9800.4050.6780.686 |\n| mAP | noise | 0.9710.9390.0610.2130.157 |","| MLE | nonoise | 0.8600.9221.6561.2451.188 |\n| --- | --- | --- |\n| MLE | noise | 1.0121.0781.7661.4091.383 |",1]
["| Metric | Noise | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- |\n| mAP | nonoise | 0.9790.9800.4050.6780.686 |\n| mAP | noise | 0.9710.9390.0610.2130.157 |","| MLE | no | 160x120 | 1.3651.3911.9081.3691.551 |\n| --- | --- | --- | --- |\n| MLE | yes | 160x120 | 1.4701.5372.2361.7751.858 |\n| R | no | 160x120 | 0.9700.9290.8000.9290.852 |\n| R | yes | 160x120 | 0.8110.7110.1410.1360.148 |\n| mAP | no | 320x240 | 0.8920.8160.4050.6780.686 |\n| mAP | yes | 320x240 | 0.8460.6870.0180.0720.077 |\n| MLE | no | 320x240 | 1.4551.4501.9141.4381.592 |\n| MLE | yes | 320x240 | 1.5331.6052.2001.7641.848 |\n| R | no | 320x240 | 0.9590.9200.8120.8960.827 |\n| R | yes | 320x240 | 0.7650.6750.0990.0810.104 |",0]
["| Samplingstrategy | Time |\n| --- | --- |\n| Simplesampling,withscaling(10000particles) | 0.046s |\n| Simplesampling,noscaling(10000particles) | 0.028s |\n| GMMsampling(10000particles) | 2.947s |","| MKF(30mixturecomponents) | 0.021s |\n| --- | --- |\n| MKF,ﬁxedtracks(30mixturetrajectories) | 0.015s |",1]
["| Samplingstrategy | Time |\n| --- | --- |\n| Simplesampling,withscaling(10000particles) | 0.046s |\n| Simplesampling,noscaling(10000particles) | 0.028s |\n| GMMsampling(10000particles) | 2.947s |","| Sampling | Pointsn. | Accuracy |\n| --- | --- | --- |\n| 1s | 13345 | 0.9732 |\n| 10s | 1352 | 0.9415 |\n| 30s | 462 | 0.9545 |\n| 90s | 165 | 0.9939 |\n| 120s | 129 | 0.9689 |",0]
["| Samplingstrategy | Time |\n| --- | --- |\n| Simplesampling,withscaling(10000particles) | 0.046s |\n| Simplesampling,noscaling(10000particles) | 0.028s |\n| GMMsampling(10000particles) | 2.947s |","| MKF(30mixturecomponents) | 0.021s |\n| --- | --- |\n| MKF,ﬁxedtracks(30mixturetrajectories) | 0.015s |",1]
["| Samplingstrategy | Time |\n| --- | --- |\n| Simplesampling,withscaling(10000particles) | 0.046s |\n| Simplesampling,noscaling(10000particles) | 0.028s |\n| GMMsampling(10000particles) | 2.947s |","| 10s | 1352 | 0.9415 |\n| --- | --- | --- |\n| 30s | 462 | 0.9545 |\n| 90s | 165 | 0.9939 |\n| 120s | 129 | 0.9689 |",0]
["| Cluster | Stations | Trips |  |  |\n| --- | --- | --- | --- | --- |\n| within | out | in |  |  |\n| Central/East(1) | 408 | 760,404 | 112,263 | 118,146 |","| West(2) | 190 | 184,714 | 80,457 | 82,332 |\n| --- | --- | --- | --- | --- |\n| RegentsPark(3) | 71 | 48,259 | 75,618 | 71,990 |\n| HydePark(4) | 26 | 80,354 | 63,617 | 60,289 |\n| NottingHill(5) | 35 | 17,481 | 30,443 | 29,084 |\n| CanaryWharf(6) | 20 | 9,060 | 7,181 | 7,738 |",1]
["| Cluster | Stations | Trips |  |  |\n| --- | --- | --- | --- | --- |\n| within | out | in |  |  |\n| Central/East(1) | 408 | 760,404 | 112,263 | 118,146 |","| City | N | K | NGC | C | Cr | d | dr | Q | Qr |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Atlanta | 13,011 | 46,756 | 11,476 | 0.16 | 0.0006 | 4.6 | 4.6 | 0.53 | 0.17 |\n| Boston | 10,478 | 41,505 | 8,816 | 0.17 | 0.0010 | 4.3 | 4.0 | 0.45 | 0.15 |\n| Chicago | 19,931 | 84,778 | 17,287 | 0.16 | 0.0004 | 4.6 | 4.9 | 0.47 | 0.14 |\n| Minneapolis | 6,499 | 30,640 | 5,914 | 0.18 | 0.0016 | 4.4 | 4.2 | 0.41 | 0.12 |\n| Seattle | 7,445 | 28,466 | 6,392 | 0.18 | 0.0008 | 4.4 | 4.6 | 0.46 | 0.16 |",0]
["| Cluster | Stations | Trips |  |  |\n| --- | --- | --- | --- | --- |\n| within | out | in |  |  |\n| Central/East(1) | 408 | 760,404 | 112,263 | 118,146 |\n| West(2) | 190 | 184,714 | 80,457 | 82,332 |\n| RegentsPark(3) | 71 | 48,259 | 75,618 | 71,990 |","| HydePark(4) | 26 | 80,354 | 63,617 | 60,289 |\n| --- | --- | --- | --- | --- |\n| NottingHill(5) | 35 | 17,481 | 30,443 | 29,084 |\n| CanaryWharf(6) | 20 | 9,060 | 7,181 | 7,738 |",1]
["| Cluster | Stations | Trips |  |  |\n| --- | --- | --- | --- | --- |\n| within | out | in |  |  |\n| Central/East(1) | 408 | 760,404 | 112,263 | 118,146 |\n| West(2) | 190 | 184,714 | 80,457 | 82,332 |\n| RegentsPark(3) | 71 | 48,259 | 75,618 | 71,990 |","| Boston | 10,478 | 41,505 | 8,816 | 0.17 | 0.0010 | 4.3 | 4.0 | 0.45 | 0.15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Chicago | 19,931 | 84,778 | 17,287 | 0.16 | 0.0004 | 4.6 | 4.9 | 0.47 | 0.14 |\n| Minneapolis | 6,499 | 30,640 | 5,914 | 0.18 | 0.0016 | 4.4 | 4.2 | 0.41 | 0.12 |\n| Seattle | 7,445 | 28,466 | 6,392 | 0.18 | 0.0008 | 4.4 | 4.6 | 0.46 | 0.16 |",0]
["| Actions | SVM<br>-SW | RNN<br>-SW | CA<br>-RNN | JCR<br>-RNN |\n| --- | --- | --- | --- | --- |\n| drinking | 0.146 | 0.441 | 0.584 | 0.574 |\n| eating | 0.465 | 0.550 | 0.558 | 0.523 |","| writing | 0.645 | 0.859 | 0.749 | 0.822 |\n| --- | --- | --- | --- | --- |\n| openingcupboard | 0.308 | 0.321 | 0.490 | 0.495 |\n| washinghands | 0.562 | 0.668 | 0.672 | 0.718 |\n| openingmicrowave | 0.607 | 0.665 | 0.468 | 0.703 |\n| sweeping | 0.461 | 0.590 | 0.597 | 0.643 |\n| gargling | 0.437 | 0.550 | 0.579 | 0.623 |\n| throwingtrash | 0.554 | 0.674 | 0.430 | 0.459 |\n| wiping | 0.857 | 0.747 | 0.761 | 0.780 |\n| average | 0.540 | 0.600 | 0.596 | 0.653 |",1]
["| Actions | SVM<br>-SW | RNN<br>-SW | CA<br>-RNN | JCR<br>-RNN |\n| --- | --- | --- | --- | --- |\n| drinking | 0.146 | 0.441 | 0.584 | 0.574 |\n| eating | 0.465 | 0.550 | 0.558 | 0.523 |","| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 |\n| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |\n| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 |  |  |\n| SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |",0]
["| Actions | SVM<br>-SW | RNN<br>-SW | CA<br>-RNN | JCR<br>-RNN |\n| --- | --- | --- | --- | --- |\n| drinking | 0.146 | 0.441 | 0.584 | 0.574 |\n| eating | 0.465 | 0.550 | 0.558 | 0.523 |\n| writing | 0.645 | 0.859 | 0.749 | 0.822 |\n| openingcupboard | 0.308 | 0.321 | 0.490 | 0.495 |\n| washinghands | 0.562 | 0.668 | 0.672 | 0.718 |\n| openingmicrowave | 0.607 | 0.665 | 0.468 | 0.703 |","| sweeping | 0.461 | 0.590 | 0.597 | 0.643 |\n| --- | --- | --- | --- | --- |\n| gargling | 0.437 | 0.550 | 0.579 | 0.623 |\n| throwingtrash | 0.554 | 0.674 | 0.430 | 0.459 |\n| wiping | 0.857 | 0.747 | 0.761 | 0.780 |\n| average | 0.540 | 0.600 | 0.596 | 0.653 |",1]
["| Actions | SVM<br>-SW | RNN<br>-SW | CA<br>-RNN | JCR<br>-RNN |\n| --- | --- | --- | --- | --- |\n| drinking | 0.146 | 0.441 | 0.584 | 0.574 |\n| eating | 0.465 | 0.550 | 0.558 | 0.523 |\n| writing | 0.645 | 0.859 | 0.749 | 0.822 |\n| openingcupboard | 0.308 | 0.321 | 0.490 | 0.495 |\n| washinghands | 0.562 | 0.668 | 0.672 | 0.718 |\n| openingmicrowave | 0.607 | 0.665 | 0.468 | 0.703 |","| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |",0]
["|  | Accuracy(Unsupervised) | Accuracy(Supervised) |\n| --- | --- | --- |\n| CNN-H1 | 98.12±0.24 | 98.43±0.20 |","| CNN-H2 | 96.47±0.44 | 97.67±0.28 |\n| --- | --- | --- |\n| CNN-P1 | 96.83±0.26 | 97.30±0.22 |\n| CNN-P2 | 97.25±0.31 | 98.00±0.24 |\n| CNN-P3 | 96.70±0.25 | 97.82±0.16 |\n| CNN-P4 | 96.17±0.31 | 96.93±0.21 |\n| CNN-P5 | 96.05±0.27 | 97.23±0.20 |\n| CNN-P6 | 95.58±0.17 | 96.72±0.21 |",1]
["|  | Accuracy(Unsupervised) | Accuracy(Supervised) |\n| --- | --- | --- |\n| CNN-H1 | 98.12±0.24 | 98.43±0.20 |","| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |\n| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["|  | Accuracy(Unsupervised) | Accuracy(Supervised) |\n| --- | --- | --- |\n| CNN-H1 | 98.12±0.24 | 98.43±0.20 |\n| CNN-H2 | 96.47±0.44 | 97.67±0.28 |\n| CNN-P1 | 96.83±0.26 | 97.30±0.22 |","| CNN-P2 | 97.25±0.31 | 98.00±0.24 |\n| --- | --- | --- |\n| CNN-P3 | 96.70±0.25 | 97.82±0.16 |\n| CNN-P4 | 96.17±0.31 | 96.93±0.21 |\n| CNN-P5 | 96.05±0.27 | 97.23±0.20 |\n| CNN-P6 | 95.58±0.17 | 96.72±0.21 |",1]
["|  | Accuracy(Unsupervised) | Accuracy(Supervised) |\n| --- | --- | --- |\n| CNN-H1 | 98.12±0.24 | 98.43±0.20 |\n| CNN-H2 | 96.47±0.44 | 97.67±0.28 |\n| CNN-P1 | 96.83±0.26 | 97.30±0.22 |","| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| --- | --- | --- | --- |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["|  | Training | Testing | Validation |\n| --- | --- | --- | --- |\n| ModelI | 3588 | 1184 | 1189 |","| ModelII | 5259 | 1763 | 1746 |\n| --- | --- | --- | --- |\n| ModelIII | 3980 | 1368 | 1350 |\n| ModelIV | 2212 | 733 | 742 |\n| Total | 15039 | 5048 | 5027 |",1]
["|  | Training | Testing | Validation |\n| --- | --- | --- | --- |\n| ModelI | 3588 | 1184 | 1189 |","|  | Train | Validation | Test |\n| --- | --- | --- | --- |\n| PA | 70,875 | 10,078 | 20,426 |\n| AP | 168,525 | 24,566 | 47,689 |\n| Lateral | 81,379 | 11,519 | 23,125 |\n| Total | 320,779 | 46,163 | 91,240 |",0]
["|  | Training | Testing | Validation |\n| --- | --- | --- | --- |\n| ModelI | 3588 | 1184 | 1189 |\n| ModelII | 5259 | 1763 | 1746 |","| ModelIII | 3980 | 1368 | 1350 |\n| --- | --- | --- | --- |\n| ModelIV | 2212 | 733 | 742 |\n| Total | 15039 | 5048 | 5027 |",1]
["|  | Training | Testing | Validation |\n| --- | --- | --- | --- |\n| ModelI | 3588 | 1184 | 1189 |\n| ModelII | 5259 | 1763 | 1746 |","| AP | 168,525 | 24,566 | 47,689 |\n| --- | --- | --- | --- |\n| Lateral | 81,379 | 11,519 | 23,125 |\n| Total | 320,779 | 46,163 | 91,240 |",0]
["| h | Averagejumpfactorwithvaryingγ |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| γ=0 | γ=3 | γ=4 | γ=5 | γ=6 |  |\n| 10 | 2.2 | 1.82 | 1.77 | 1.77 | 1.77 |\n| 50 | 5.16 | 3.86 | 2.95 | 2.11 | 1.96 |","| 100 | 8.03 | 5.81 | 4.14 | 2.75 | 1.97 |\n| --- | --- | --- | --- | --- | --- |\n| 500 | 29.11 | 20.47 | 14.27 | 8.02 | 2.43 |\n| 1000 | 52.47 | 37.46 | 25.66 | 13.87 | 3.11 |",1]
["| h | Averagejumpfactorwithvaryingγ |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| γ=0 | γ=3 | γ=4 | γ=5 | γ=6 |  |\n| 10 | 2.2 | 1.82 | 1.77 | 1.77 | 1.77 |\n| 50 | 5.16 | 3.86 | 2.95 | 2.11 | 1.96 |","| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |\n| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |\n| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",0]
["| h | Averagejumpfactorwithvaryingγ |  |  |  |\n| --- | --- | --- | --- | --- |\n| γ=0 | γ=3 | γ=4 | γ=5 | γ=6 |","| 10 | 2.2 | 1.82 | 1.77 | 1.77 | 1.77 |\n| --- | --- | --- | --- | --- | --- |\n| 50 | 5.16 | 3.86 | 2.95 | 2.11 | 1.96 |\n| 100 | 8.03 | 5.81 | 4.14 | 2.75 | 1.97 |\n| 500 | 29.11 | 20.47 | 14.27 | 8.02 | 2.43 |\n| 1000 | 52.47 | 37.46 | 25.66 | 13.87 | 3.11 |",1]
["| h | Averagejumpfactorwithvaryingγ |  |  |  |\n| --- | --- | --- | --- | --- |\n| γ=0 | γ=3 | γ=4 | γ=5 | γ=6 |","| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",0]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A |\n| OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A |\n| Oursw/oPose | 94.66 | 84.94 | 72.43 | N/A | N/A | N/A |\n| Oursw/oExtra | 95.51 | 86.29 | 73.68 | 94.26 | 84.69 | 71.80 |\n| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |","| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |\n| --- | --- | --- | --- | --- | --- | --- |\n| Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A |\n| Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 |\n| OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |\n| RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A |\n| OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A |\n| Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A |\n| Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 |\n| OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",1]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A |\n| OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A |\n| Oursw/oPose | 94.66 | 84.94 | 72.43 | N/A | N/A | N/A |\n| Oursw/oExtra | 95.51 | 86.29 | 73.68 | 94.26 | 84.69 | 71.80 |\n| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |","| Methods | Easy | Moderate | Hard |\n| --- | --- | --- | --- |\n| Car |  |  |  |\n| SelectiveSearch | 58.17 | 42.12 | 37.62 |\n| EdgeBoxes | 81.40 | 61.84 | 55.68 |\n| RPN | 98.84 | 97.37 | 95.31 |\n| Ours | 99.27 | 96.28 | 93.14 |\n| Pedestrian |  |  |  |\n| SelectiveSearch | 68.95 | 57.65 | 52.57 |\n| EdgeBoxes | 86.15 | 71.88 | 65.39 |\n| RPN | 98.88 | 91.69 | 88.64 |\n| Ours | 99.44 | 93.46 | 91.02 |\n| Cyclist |  |  |  |\n| SelectiveSearch | 57.05 | 49.59 | 49.44 |\n| EdgeBoxes | 56.11 | 46.52 | 45.72 |\n| RPN | 96.55 | 91.80 | 89.41 |\n| Ours | 99.67 | 93.03 | 91.64 |",0]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A |\n| OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A |\n| Oursw/oPose | 94.66 | 84.94 | 72.43 | N/A | N/A | N/A |\n| Oursw/oExtra | 95.51 | 86.29 | 73.68 | 94.26 | 84.69 | 71.80 |\n| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |\n| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |","| Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A |\n| --- | --- | --- | --- | --- | --- | --- |\n| Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 |\n| OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |\n| RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A |\n| OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A |\n| Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A |\n| Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 |\n| OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",1]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A |\n| OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A |\n| Oursw/oPose | 94.66 | 84.94 | 72.43 | N/A | N/A | N/A |\n| Oursw/oExtra | 95.51 | 86.29 | 73.68 | 94.26 | 84.69 | 71.80 |\n| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |\n| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |","| SelectiveSearch | 68.95 | 57.65 | 52.57 |\n| --- | --- | --- | --- |\n| EdgeBoxes | 86.15 | 71.88 | 65.39 |\n| RPN | 98.88 | 91.69 | 88.64 |\n| Ours | 99.44 | 93.46 | 91.02 |\n| Cyclist |  |  |  |\n| SelectiveSearch | 57.05 | 49.59 | 49.44 |\n| EdgeBoxes | 56.11 | 46.52 | 45.72 |\n| RPN | 96.55 | 91.80 | 89.41 |\n| Ours | 99.67 | 93.03 | 91.64 |",0]
["|  | Top10Features |\n| --- | --- |\n| 1 | Location(State) |\n| 2 | NumberofSpecialCharacters |\n| 3 | LongestCommonSubstring |\n| 4 | NumberofUniqueTokens |\n| 5 | TimeDifference |\n| 6 | IfPostedonSameDay |","| 7 | PresenceofEthnicity |\n| --- | --- |\n| 8 | PresenceofRate |\n| 9 | PresenceofRestrictions |\n| 10 | PresenceofNames |",1]
["|  | Top10Features |\n| --- | --- |\n| 1 | Location(State) |\n| 2 | NumberofSpecialCharacters |\n| 3 | LongestCommonSubstring |\n| 4 | NumberofUniqueTokens |\n| 5 | TimeDifference |\n| 6 | IfPostedonSameDay |","|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["|  | Top10Features |\n| --- | --- |\n| 1 | Location(State) |","| 2 | NumberofSpecialCharacters |\n| --- | --- |\n| 3 | LongestCommonSubstring |\n| 4 | NumberofUniqueTokens |\n| 5 | TimeDifference |\n| 6 | IfPostedonSameDay |\n| 7 | PresenceofEthnicity |\n| 8 | PresenceofRate |\n| 9 | PresenceofRestrictions |\n| 10 | PresenceofNames |",1]
["|  | Top10Features |\n| --- | --- |\n| 1 | Location(State) |","| Totalnumberoftokens | 1,837,304 |\n| --- | --- |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Variable | Description |\n| --- | --- |\n| pi | numberoftweetsmadebyuseri |\n| fi | numberoffollowersofi |","| ri | numberofretweetsofi’spostsbyfollowers |\n| --- | --- |\n| mi | numbermentionsofibyfollowers |\n| P<br>f | probabilityofgainingfollowers |\n| P<br>f | probabilityoflosingfollowers |",1]
["| Variable | Description |\n| --- | --- |\n| pi | numberoftweetsmadebyuseri |\n| fi | numberoffollowersofi |","| Variable | Description |\n| --- | --- |\n| j | theidentiﬁeroftheneighbor |\n| tj | theageoftheneighbor |\n| aj | theattributevalueoftheneighbor |\n| rj | therandomvalueoftheneighbor |",0]
["| Variable | Description |\n| --- | --- |\n| pi | numberoftweetsmadebyuseri |\n| fi | numberoffollowersofi |\n| ri | numberofretweetsofi’spostsbyfollowers |\n| mi | numbermentionsofibyfollowers |","| P<br>f | probabilityofgainingfollowers |\n| --- | --- |\n| P<br>f | probabilityoflosingfollowers |",1]
["| Variable | Description |\n| --- | --- |\n| pi | numberoftweetsmadebyuseri |\n| fi | numberoffollowersofi |\n| ri | numberofretweetsofi’spostsbyfollowers |\n| mi | numbermentionsofibyfollowers |","| tj | theageoftheneighbor |\n| --- | --- |\n| aj | theattributevalueoftheneighbor |\n| rj | therandomvalueoftheneighbor |",0]
["| n | d=g | d=4g | d=16g |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | A | B | A | B | A | B |\n| 4 | 14.75 | 37 | - | - | - | - |\n| 16 | 20.90 | 54 | 71.40 | 118 | - | - |","| 64 | 27.35 | 79 | 82.80 | 177 | 317.90 | 442 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |\n| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |\n| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |\n| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |\n| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |\n| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |\n| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |\n| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |\n| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 |",1]
["| n | d=g | d=4g | d=16g |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | A | B | A | B | A | B |\n| 4 | 14.75 | 37 | - | - | - | - |\n| 16 | 20.90 | 54 | 71.40 | 118 | - | - |","| n | d=g | d=4g | d=16g |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µ | σ | max | µ | σ | max | µ | σ | max |\n| 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |\n| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |\n| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |\n| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |\n| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 |\n| 4,096 | 6.82 | 0.46 | 8 | 18.81 | 0.64 | 21 | 68.21 | 3.94 | 86 |\n| 16,384 | 7.04 | 0.20 | 8 | 18.95 | 0.46 | 20 | 67.65 | 1.76 | 73 |\n| 65,536 | 7.16 | 0.37 | 8 | 19.06 | 0.34 | 20 | 67.12 | 0.89 | 71 |\n| 262,144 | 7.30 | 0.46 | 8 | 19.09 | 0.29 | 20 | 66.88 | 0.59 | 69 |\n| 1,048,576 | 7.59 | 0.49 | 8 | 19.15 | 0.36 | 20 | 66.70 | 0.50 | 68 |\n| 4,194,304 | 7.92 | 0.27 | 8 | 19.21 | 0.41 | 20 | 66.59 | 0.49 | 67 |\n| 16,777,216 | 8.00 | 0.00 | 8 | 19.41 | 0.49 | 20 | 66.79 | 0.41 | 67 |",0]
["| n | d=g | d=4g | d=16g |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | A | B | A | B | A | B |\n| 4 | 14.75 | 37 | - | - | - | - |\n| 16 | 20.90 | 54 | 71.40 | 118 | - | - |\n| 64 | 27.35 | 79 | 82.80 | 177 | 317.90 | 442 |\n| 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |\n| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |\n| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |\n| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |\n| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |\n| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |\n| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |","| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 |",1]
["| n | d=g | d=4g | d=16g |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | A | B | A | B | A | B |\n| 4 | 14.75 | 37 | - | - | - | - |\n| 16 | 20.90 | 54 | 71.40 | 118 | - | - |\n| 64 | 27.35 | 79 | 82.80 | 177 | 317.90 | 442 |\n| 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |\n| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |\n| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |\n| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |\n| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |\n| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |\n| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |","| 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |\n| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |\n| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |\n| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 |\n| 4,096 | 6.82 | 0.46 | 8 | 18.81 | 0.64 | 21 | 68.21 | 3.94 | 86 |\n| 16,384 | 7.04 | 0.20 | 8 | 18.95 | 0.46 | 20 | 67.65 | 1.76 | 73 |\n| 65,536 | 7.16 | 0.37 | 8 | 19.06 | 0.34 | 20 | 67.12 | 0.89 | 71 |\n| 262,144 | 7.30 | 0.46 | 8 | 19.09 | 0.29 | 20 | 66.88 | 0.59 | 69 |\n| 1,048,576 | 7.59 | 0.49 | 8 | 19.15 | 0.36 | 20 | 66.70 | 0.50 | 68 |\n| 4,194,304 | 7.92 | 0.27 | 8 | 19.21 | 0.41 | 20 | 66.59 | 0.49 | 67 |\n| 16,777,216 | 8.00 | 0.00 | 8 | 19.41 | 0.49 | 20 | 66.79 | 0.41 | 67 |",0]
["|  | WordCounts |  |\n| --- | --- | --- |\n|  | Original | Reproduction |","| Lexicons | Positive | Negative | Positive | PositiveLowered | Negative | NegativeLowered |\n| --- | --- | --- | --- | --- | --- | --- |\n| MPQA | 2289 | 4114 | 2298 | 2298 | 4148 | 4148 |\n| HL | 2003 | 4780 | 2003 | 2003 | 4780 | 4780 |\n| NRC | 2231 | 3243 | 2231 | 2231 | 3243 | 3243 |\n| MPQA&HL | 2706 | 5069 | 2725 | 2725 | 5080 | 5076 |\n| Allthree | 3940 | 6490 | 4016 | 4016 | 6530 | 6526 |",1]
["|  | WordCounts |  |\n| --- | --- | --- |\n|  | Original | Reproduction |","| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |\n| 6 | 114 | 119 | 126 | 130 | 130 |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["|  | WordCounts |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Original | Reproduction |  |  |  |  |\n| Lexicons | Positive | Negative | Positive | PositiveLowered | Negative | NegativeLowered |\n| MPQA | 2289 | 4114 | 2298 | 2298 | 4148 | 4148 |\n| HL | 2003 | 4780 | 2003 | 2003 | 4780 | 4780 |\n| NRC | 2231 | 3243 | 2231 | 2231 | 3243 | 3243 |","| MPQA&HL | 2706 | 5069 | 2725 | 2725 | 5080 | 5076 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Allthree | 3940 | 6490 | 4016 | 4016 | 6530 | 6526 |",1]
["|  | WordCounts |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Original | Reproduction |  |  |  |  |\n| Lexicons | Positive | Negative | Positive | PositiveLowered | Negative | NegativeLowered |\n| MPQA | 2289 | 4114 | 2298 | 2298 | 4148 | 4148 |\n| HL | 2003 | 4780 | 2003 | 2003 | 4780 | 4780 |\n| NRC | 2231 | 3243 | 2231 | 2231 | 3243 | 3243 |","| 5 | 49 | 53 | − | 53 | 53 |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 114 | 119 | 126 | 130 | 130 |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["| ContextNo. | ∗<br>harddecoding(k) | softdecodingP(w,c,k) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| k=1 | k=2 | k=3 | k=4 | k=5 |  |  |\n| (a) | 1 | 0.81 | 0.01 | 0.01 | 0.05 | 0.13 |\n| (b) | 2 | 0.02 | 0.92 | 0.01 | 0.04 | 0.01 |\n| (c) | 3 | 0.01 | 0.00 | 0.91 | 0.06 | 0.01 |","| (d) | 4 | 0.07 | 0.03 | 0.13 | 0.70 | 0.07 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (e) | 5 | 0.04 | 0.01 | 0.01 | 0.05 | 0.90 |",1]
["| ContextNo. | ∗<br>harddecoding(k) | softdecodingP(w,c,k) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| k=1 | k=2 | k=3 | k=4 | k=5 |  |  |\n| (a) | 1 | 0.81 | 0.01 | 0.01 | 0.05 | 0.13 |\n| (b) | 2 | 0.02 | 0.92 | 0.01 | 0.04 | 0.01 |\n| (c) | 3 | 0.01 | 0.00 | 0.91 | 0.06 | 0.01 |","| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",0]
["| ContextNo. | ∗<br>harddecoding(k) | softdecodingP(w,c,k) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| k=1 | k=2 | k=3 | k=4 | k=5 |  |  |\n| (a) | 1 | 0.81 | 0.01 | 0.01 | 0.05 | 0.13 |\n| (b) | 2 | 0.02 | 0.92 | 0.01 | 0.04 | 0.01 |\n| (c) | 3 | 0.01 | 0.00 | 0.91 | 0.06 | 0.01 |","| (d) | 4 | 0.07 | 0.03 | 0.13 | 0.70 | 0.07 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (e) | 5 | 0.04 | 0.01 | 0.01 | 0.05 | 0.90 |",1]
["| ContextNo. | ∗<br>harddecoding(k) | softdecodingP(w,c,k) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| k=1 | k=2 | k=3 | k=4 | k=5 |  |  |\n| (a) | 1 | 0.81 | 0.01 | 0.01 | 0.05 | 0.13 |\n| (b) | 2 | 0.02 | 0.92 | 0.01 | 0.04 | 0.01 |\n| (c) | 3 | 0.01 | 0.00 | 0.91 | 0.06 | 0.01 |","| D→E | 0.781 | 0.75 | 0.0011 |\n| --- | --- | --- | --- |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",0]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | romney | romney |\n| obama | romney | romney | obama | mitt |\n| debate | bin | debate | mitt | obama |\n| mitt | laden | won | not | gt |\n| foreign | mitt | poll | president | plan |\n| policy | bayonets | president | like | like |","| president | horses | cbs | amp | point |\n| --- | --- | --- | --- | --- |\n| not | debate | think | get | let |\n| said | said | mitt | vote | policy |\n| presidential | won | news | don | foreign |\n| barack | fewer | cnn | people | romneys |\n| like | navy | tie | know | ﬁve |\n| iran | say | wins | election | left |\n| won | fact | barack | tonight | president |\n| ﬁnal | like | vote | one | take |",1]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | romney | romney |\n| obama | romney | romney | obama | mitt |\n| debate | bin | debate | mitt | obama |\n| mitt | laden | won | not | gt |\n| foreign | mitt | poll | president | plan |\n| policy | bayonets | president | like | like |","| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | obama | romney |\n| obama | romney | romney | romney | obama |\n| mitt | debate | mitt | not | mitt |\n| debate | mitt | barack | like | class |\n| poll | tonight | debate | mitt | like |\n| election | gt | president | vote | middle |\n| won | presidential | michelle | don | tax |\n| cnn | president | not | people | not |\n| amp | vote | amp | voting | cut |\n| president | election | video | amp | says |\n| street | ﬁrst | anniversary | election | taxes |\n| wins | get | would | know | president |\n| y | watch | election | debate | fucked |\n| de | amp | party | president | debate |\n|  | like | tonight | get | big |",0]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | romney | romney |\n| obama | romney | romney | obama | mitt |\n| debate | bin | debate | mitt | obama |","| mitt | laden | won | not | gt |\n| --- | --- | --- | --- | --- |\n| foreign | mitt | poll | president | plan |\n| policy | bayonets | president | like | like |\n| president | horses | cbs | amp | point |\n| not | debate | think | get | let |\n| said | said | mitt | vote | policy |\n| presidential | won | news | don | foreign |\n| barack | fewer | cnn | people | romneys |\n| like | navy | tie | know | ﬁve |\n| iran | say | wins | election | left |\n| won | fact | barack | tonight | president |\n| ﬁnal | like | vote | one | take |",1]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | romney | romney |\n| obama | romney | romney | obama | mitt |\n| debate | bin | debate | mitt | obama |","| won | presidential | michelle | don | tax |\n| --- | --- | --- | --- | --- |\n| cnn | president | not | people | not |\n| amp | vote | amp | voting | cut |\n| president | election | video | amp | says |\n| street | ﬁrst | anniversary | election | taxes |\n| wins | get | would | know | president |\n| y | watch | election | debate | fucked |\n| de | amp | party | president | debate |\n|  | like | tonight | get | big |",0]
["| Layer | Units | Filters | FilterSize | PoolSize | Activation |\n| --- | --- | --- | --- | --- | --- |\n| 1-input | - | - | - | - | - |\n| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 3-maxpool-1 | - | - | - | 2x2 | - |","| 4-conv-2 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| --- | --- | --- | --- | --- | --- |\n| 5-maxpool-2 | - | - | - | 2x2 | - |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",1]
["| Layer | Units | Filters | FilterSize | PoolSize | Activation |\n| --- | --- | --- | --- | --- | --- |\n| 1-input | - | - | - | - | - |\n| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 3-maxpool-1 | - | - | - | 2x2 | - |","| Layer | Type | kernel | Activation |\n| --- | --- | --- | --- |\n| Input | Input(48×48) | – | – |\n| Hidden1 | Conv | 3×3(64ch) | ReLU |\n| Pool1 | Maxpooling | 2×2 | – |\n| Hidden2 | Conv | 3×3(64ch) | ReLU |\n| Pool2 | Maxpooling | 2×2 | – |\n| Hidden3 | Dense | 1024 | ReLU |\n| Output | Dense | 98 | Tanh |",0]
["| Layer | Units | Filters | FilterSize | PoolSize | Activation |\n| --- | --- | --- | --- | --- | --- |\n| 1-input | - | - | - | - | - |\n| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 3-maxpool-1 | - | - | - | 2x2 | - |","| 4-conv-2 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| --- | --- | --- | --- | --- | --- |\n| 5-maxpool-2 | - | - | - | 2x2 | - |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",1]
["| Layer | Units | Filters | FilterSize | PoolSize | Activation |\n| --- | --- | --- | --- | --- | --- |\n| 1-input | - | - | - | - | - |\n| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 3-maxpool-1 | - | - | - | 2x2 | - |","| Hidden3 | Dense | 1024 | ReLU |\n| --- | --- | --- | --- |\n| Output | Dense | 98 | Tanh |",0]
["| CompressionRatio | SensingMatrix |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| 8.0 | 28.04 | 28.74 | 28.93 | 29.30 |\n| --- | --- | --- | --- | --- |\n| 5.3 | 29.86 | 30.42 | 30.59 | 30.98 |\n| 3.2 | 32.90 | 33.47 | 33.53 | 34.0 |",1]
["| CompressionRatio | SensingMatrix |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.026 | −3<br>10 | 0.50 | 0.1739 |\n| 0.018 | 10 | 0.50 | 0.1301 |\n| 0.068 | 10 | 0.75 | 0.3584 |\n| 0.054 | 10 | 0.75 | 0.3032 |",0]
["| CompressionRatio | SensingMatrix |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| 8.0 | 28.04 | 28.74 | 28.93 | 29.30 |\n| --- | --- | --- | --- | --- |\n| 5.3 | 29.86 | 30.42 | 30.59 | 30.98 |\n| 3.2 | 32.90 | 33.47 | 33.53 | 34.0 |",1]
["| CompressionRatio | SensingMatrix |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| 0.018 | 10 | 0.50 | 0.1301 |\n| --- | --- | --- | --- |\n| 0.068 | 10 | 0.75 | 0.3584 |\n| 0.054 | 10 | 0.75 | 0.3032 |",0]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |","| 82.1 | 111.3 | 18.8 |\n| --- | --- | --- |\n| 73.2 | 113.1 | 11.2 |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",1]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |","| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 75.9 | 109.2 | 16.5 |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",0]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |","| 83.1 | 120.4 | 20.1 |\n| --- | --- | --- |\n| 82.1 | 111.3 | 18.8 |\n| 73.2 | 113.1 | 11.2 |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",1]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |","| 72.9 | 103.1 | 14.6 |\n| --- | --- | --- |\n| 69.3 | 96.4 | 11.6 |",0]
["| NE | OSE |  |  |  |\n| --- | --- | --- | --- | --- |\n| User1 | User2 | User1 | User2 | User1 |","| 2.00 | 8.00 | 0 | 9.00 | 0 |\n| --- | --- | --- | --- | --- |\n| 8.00 | 2.00 | 9.99 | 1.00 | 9.99 |\n| 2.6439 | 2.6438 | 2.9386 | 3.4739 | 3.4594 |",1]
["| NE | OSE |  |  |  |\n| --- | --- | --- | --- | --- |\n| User1 | User2 | User1 | User2 | User1 |","| user/pair | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |\n| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |\n| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |\n| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 |\n| User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 |\n| User2/(3,4) | 0.9 | 0.8 | 0.1 | 0.7 |\n| User3/(2,3) | 0.6 | 0.2 | 0.4 | 0.1 |\n| User3/(2,4) | 0.3 | 0.5 | 0.2 | 0.1 |\n| User3/(3,4) | 0.8 | 0.1 | 0.6 | 0.9 |",0]
["| NE | OSE |  |  |  |\n| --- | --- | --- | --- | --- |\n| User1 | User2 | User1 | User2 | User1 |\n| 2.00 | 8.00 | 0 | 9.00 | 0 |","| 8.00 | 2.00 | 9.99 | 1.00 | 9.99 |\n| --- | --- | --- | --- | --- |\n| 2.6439 | 2.6438 | 2.9386 | 3.4739 | 3.4594 |",1]
["| NE | OSE |  |  |  |\n| --- | --- | --- | --- | --- |\n| User1 | User2 | User1 | User2 | User1 |\n| 2.00 | 8.00 | 0 | 9.00 | 0 |","| User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 |\n| --- | --- | --- | --- | --- |\n| User2/(3,4) | 0.9 | 0.8 | 0.1 | 0.7 |\n| User3/(2,3) | 0.6 | 0.2 | 0.4 | 0.1 |\n| User3/(2,4) | 0.3 | 0.5 | 0.2 | 0.1 |\n| User3/(3,4) | 0.8 | 0.1 | 0.6 | 0.9 |",0]
["| res(7,4) | res(7,5) | res(7,6) | HEP(σ) |  |\n| --- | --- | --- | --- | --- |\n| Nooptimizations | 29163 | 142711 | 587880 | 47424 |\n| Occ.Horner+CSE<br>Haggies<br>Hypergraph+CSE | 4968<br>7540<br>4905 | 20210<br>29125<br>19148 | 71262<br>101821<br>65770 | 6744<br>13214<br>— |\n| MCTS+CSE<br>[N=300] | (3.9±0.1)·10<br>[C=0.03]p | (1.5±0.2)·10<br>[C=0.03]p | (5.0±0.6)·10<br>[C=0.01]p | (4.3±0.3)·10<br>[C=0.35]p |\n| MCTS+CSE<br>[N=1000] | (3.86±0.03)·10<br>[C=0.1]p | (1.39±0.01)·10<br>[C=0.07]p | (4.58±0.05)·10<br>[C=0.05]p | 4114±14<br>[C=0.75]p |","| MCTS+CSE<br>[N=10000] | (3.84±0.01)·10<br>[C=0.2]p | 13786±28<br>[C=0.2]p | (4.54±0.01)·10<br>[C=0.15]p | 4087±5<br>[C=1.5]p |\n| --- | --- | --- | --- | --- |\n| MCTS+greedy<br>[N=10000] | (3.03±0.03)·10<br>[C=0.2]p | (1.09±0.01)·10<br>[C=0.2]p | (3.57±0.01)·10<br>[C=0.15]p | 3401±31<br>[C=1.5]p |",1]
["| res(7,4) | res(7,5) | res(7,6) | HEP(σ) |  |\n| --- | --- | --- | --- | --- |\n| Nooptimizations | 29163 | 142711 | 587880 | 47424 |\n| Occ.Horner+CSE<br>Haggies<br>Hypergraph+CSE | 4968<br>7540<br>4905 | 20210<br>29125<br>19148 | 71262<br>101821<br>65770 | 6744<br>13214<br>— |\n| MCTS+CSE<br>[N=300] | (3.9±0.1)·10<br>[C=0.03]p | (1.5±0.2)·10<br>[C=0.03]p | (5.0±0.6)·10<br>[C=0.01]p | (4.3±0.3)·10<br>[C=0.35]p |\n| MCTS+CSE<br>[N=1000] | (3.86±0.03)·10<br>[C=0.1]p | (1.39±0.01)·10<br>[C=0.07]p | (4.58±0.05)·10<br>[C=0.05]p | 4114±14<br>[C=0.75]p |","| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |\n| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |\n| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| res(7,4) | res(7,5) | res(7,6) | HEP(σ) |  |\n| --- | --- | --- | --- | --- |\n| Nooptimizations | 29163 | 142711 | 587880 | 47424 |\n| Occ.Horner+CSE<br>Haggies<br>Hypergraph+CSE | 4968<br>7540<br>4905 | 20210<br>29125<br>19148 | 71262<br>101821<br>65770 | 6744<br>13214<br>— |\n| MCTS+CSE<br>[N=300] | (3.9±0.1)·10<br>[C=0.03]p | (1.5±0.2)·10<br>[C=0.03]p | (5.0±0.6)·10<br>[C=0.01]p | (4.3±0.3)·10<br>[C=0.35]p |\n| MCTS+CSE<br>[N=1000] | (3.86±0.03)·10<br>[C=0.1]p | (1.39±0.01)·10<br>[C=0.07]p | (4.58±0.05)·10<br>[C=0.05]p | 4114±14<br>[C=0.75]p |","| MCTS+CSE<br>[N=10000] | (3.84±0.01)·10<br>[C=0.2]p | 13786±28<br>[C=0.2]p | (4.54±0.01)·10<br>[C=0.15]p | 4087±5<br>[C=1.5]p |\n| --- | --- | --- | --- | --- |\n| MCTS+greedy<br>[N=10000] | (3.03±0.03)·10<br>[C=0.2]p | (1.09±0.01)·10<br>[C=0.2]p | (3.57±0.01)·10<br>[C=0.15]p | 3401±31<br>[C=1.5]p |",1]
["| res(7,4) | res(7,5) | res(7,6) | HEP(σ) |  |\n| --- | --- | --- | --- | --- |\n| Nooptimizations | 29163 | 142711 | 587880 | 47424 |\n| Occ.Horner+CSE<br>Haggies<br>Hypergraph+CSE | 4968<br>7540<br>4905 | 20210<br>29125<br>19148 | 71262<br>101821<br>65770 | 6744<br>13214<br>— |\n| MCTS+CSE<br>[N=300] | (3.9±0.1)·10<br>[C=0.03]p | (1.5±0.2)·10<br>[C=0.03]p | (5.0±0.6)·10<br>[C=0.01]p | (4.3±0.3)·10<br>[C=0.35]p |\n| MCTS+CSE<br>[N=1000] | (3.86±0.03)·10<br>[C=0.1]p | (1.39±0.01)·10<br>[C=0.07]p | (4.58±0.05)·10<br>[C=0.05]p | 4114±14<br>[C=0.75]p |","| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| --- | --- | --- | --- | --- |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| Methods | Easy | Moderate | Hard |\n| --- | --- | --- | --- |\n| Car |  |  |  |\n| SelectiveSearch | 58.17 | 42.12 | 37.62 |\n| EdgeBoxes | 81.40 | 61.84 | 55.68 |\n| RPN | 98.84 | 97.37 | 95.31 |\n| Ours | 99.27 | 96.28 | 93.14 |\n| Pedestrian |  |  |  |\n| SelectiveSearch | 68.95 | 57.65 | 52.57 |","| EdgeBoxes | 86.15 | 71.88 | 65.39 |\n| --- | --- | --- | --- |\n| RPN | 98.88 | 91.69 | 88.64 |\n| Ours | 99.44 | 93.46 | 91.02 |\n| Cyclist |  |  |  |\n| SelectiveSearch | 57.05 | 49.59 | 49.44 |\n| EdgeBoxes | 56.11 | 46.52 | 45.72 |\n| RPN | 96.55 | 91.80 | 89.41 |\n| Ours | 99.67 | 93.03 | 91.64 |",1]
["| Methods | Easy | Moderate | Hard |\n| --- | --- | --- | --- |\n| Car |  |  |  |\n| SelectiveSearch | 58.17 | 42.12 | 37.62 |\n| EdgeBoxes | 81.40 | 61.84 | 55.68 |\n| RPN | 98.84 | 97.37 | 95.31 |\n| Ours | 99.27 | 96.28 | 93.14 |\n| Pedestrian |  |  |  |\n| SelectiveSearch | 68.95 | 57.65 | 52.57 |","|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A |\n| OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A |\n| Oursw/oPose | 94.66 | 84.94 | 72.43 | N/A | N/A | N/A |\n| Oursw/oExtra | 95.51 | 86.29 | 73.68 | 94.26 | 84.69 | 71.80 |\n| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |\n| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |\n| Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A |\n| Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 |\n| OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |\n| RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A |\n| OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A |\n| Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A |\n| Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 |\n| OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",0]
["| Methods | Easy | Moderate | Hard |\n| --- | --- | --- | --- |\n| Car |  |  |  |\n| SelectiveSearch | 58.17 | 42.12 | 37.62 |\n| EdgeBoxes | 81.40 | 61.84 | 55.68 |\n| RPN | 98.84 | 97.37 | 95.31 |\n| Ours | 99.27 | 96.28 | 93.14 |","| Pedestrian |  |  |  |\n| --- | --- | --- | --- |\n| SelectiveSearch | 68.95 | 57.65 | 52.57 |\n| EdgeBoxes | 86.15 | 71.88 | 65.39 |\n| RPN | 98.88 | 91.69 | 88.64 |\n| Ours | 99.44 | 93.46 | 91.02 |\n| Cyclist |  |  |  |\n| SelectiveSearch | 57.05 | 49.59 | 49.44 |\n| EdgeBoxes | 56.11 | 46.52 | 45.72 |\n| RPN | 96.55 | 91.80 | 89.41 |\n| Ours | 99.67 | 93.03 | 91.64 |",1]
["| Methods | Easy | Moderate | Hard |\n| --- | --- | --- | --- |\n| Car |  |  |  |\n| SelectiveSearch | 58.17 | 42.12 | 37.62 |\n| EdgeBoxes | 81.40 | 61.84 | 55.68 |\n| RPN | 98.84 | 97.37 | 95.31 |\n| Ours | 99.27 | 96.28 | 93.14 |","| Pedestrian |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |\n| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |\n| Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A |\n| Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 |\n| OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |\n| RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A |\n| OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A |\n| Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A |\n| Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 |\n| OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",0]
["| Level | No.ofTopics |\n| --- | --- |\n| 7 | 13 |\n| 6 | 32 |\n| 5 | 75 |\n| 4 | 179 |\n| 3 | 436 |","| 2 | 1173 |\n| --- | --- |\n| 1 | 3084 |\n| total | 4992 |",1]
["| Level | No.ofTopics |\n| --- | --- |\n| 7 | 13 |\n| 6 | 32 |\n| 5 | 75 |\n| 4 | 179 |\n| 3 | 436 |","| Level#(i) | Sizeoflevelset,\\|L\\|i<br>unconstrainedm=10m=11 |  |  |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 1 |\n| 1 | 2 | 2 | 2 |\n| 2 | 12 | 10 | 12 |\n| 3 | 152 | 66 | 139 |\n| 4 | 2,347 | 216 | 1,381 |\n| 5 | 43,763 | 630 | 9,134 |\n| 6 | 890,355 | 2,002 | 54,798 |\n| 7 | 18,085,322 | 6,007 | 372,122 |\n| 8 | 325,165,209 | 17,497 | 2,739,963 |\n| 9 | notcalculated | 2,637 | 20,776,877 |\n| 10 | notcalculated | 0 | 15,467,734 |\n| 11 | notcalculated | 0 | 8 |\n| Totalnodesexpanded | est2.2×10 | 2.9×10 | 3.9×10 |\n| Totalruntime |  | 0.8min | 10hrs |",0]
["| Level | No.ofTopics |\n| --- | --- |\n| 7 | 13 |","| 6 | 32 |\n| --- | --- |\n| 5 | 75 |\n| 4 | 179 |\n| 3 | 436 |\n| 2 | 1173 |\n| 1 | 3084 |\n| total | 4992 |",1]
["| Level | No.ofTopics |\n| --- | --- |\n| 7 | 13 |","| 6 | 890,355 | 2,002 | 54,798 |\n| --- | --- | --- | --- |\n| 7 | 18,085,322 | 6,007 | 372,122 |\n| 8 | 325,165,209 | 17,497 | 2,739,963 |\n| 9 | notcalculated | 2,637 | 20,776,877 |\n| 10 | notcalculated | 0 | 15,467,734 |\n| 11 | notcalculated | 0 | 8 |\n| Totalnodesexpanded | est2.2×10 | 2.9×10 | 3.9×10 |\n| Totalruntime |  | 0.8min | 10hrs |",0]
["| - | - |\n| --- | --- |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |","| 3x3<br>2x2 | 1<br>2 |\n| --- | --- |\n| 3x3<br>3x3 | 1<br>1 |",1]
["| - | - |\n| --- | --- |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |","| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["| - | - |\n| --- | --- |\n| 3x3<br>2x2 | 1<br>2 |","| 3x3<br>2x2 | 1<br>2 |\n| --- | --- |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>3x3 | 1<br>1 |",1]
["| - | - |\n| --- | --- |\n| 3x3<br>2x2 | 1<br>2 |","| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["| Symbol | Description | DefaultValue |\n| --- | --- | --- |\n| α | TotalPrivacyBudget | 1 |\n| Q | ProcessNoise | 10 |\n| R | GaussianMeasurementNoise | 10 |\n| N | NumberofParticles | 10 |\n| (C,C,C)pid | ControlGains | (0.9,0.1,0) |","| Ti | IntegralTimeWindow | 5 |\n| --- | --- | --- |\n| (θ,ξ) | IntervalAdjustmentParams | (10,0.1) |",1]
["| Symbol | Description | DefaultValue |\n| --- | --- | --- |\n| α | TotalPrivacyBudget | 1 |\n| Q | ProcessNoise | 10 |\n| R | GaussianMeasurementNoise | 10 |\n| N | NumberofParticles | 10 |\n| (C,C,C)pid | ControlGains | (0.9,0.1,0) |","| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |\n| α | 60 | C | 10 | k | ∞ |\n| Vt | 0 | γ | 60 | q | 10 |\n| m0 | −400 | m1 | 400 | imin | 10 |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| Symbol | Description | DefaultValue |\n| --- | --- | --- |\n| α | TotalPrivacyBudget | 1 |\n| Q | ProcessNoise | 10 |\n| R | GaussianMeasurementNoise | 10 |\n| N | NumberofParticles | 10 |","| (C,C,C)pid | ControlGains | (0.9,0.1,0) |\n| --- | --- | --- |\n| Ti | IntegralTimeWindow | 5 |\n| (θ,ξ) | IntervalAdjustmentParams | (10,0.1) |",1]
["| Symbol | Description | DefaultValue |\n| --- | --- | --- |\n| α | TotalPrivacyBudget | 1 |\n| Q | ProcessNoise | 10 |\n| R | GaussianMeasurementNoise | 10 |\n| N | NumberofParticles | 10 |","| m0 | −400 | m1 | 400 | imin | 10 |\n| --- | --- | --- | --- | --- | --- |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3152 | 2.423.56 |","| image1 | 27.93 | 0.110.17 |\n| --- | --- | --- |\n| image2 | 307.44 | 0.390.73 |\n| image3 | 3534 | 2.664.14 |\n| image4 | sameasimage3 | 1.812.22 |",1]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3152 | 2.423.56 |","| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3574 | 134.612236 |\n| image1 | 32.01 | 1.7841.90 |\n| image2 | 350.72 | 13.88285.48 |\n| image3 | 4000 | 214.641898.21 |\n| image4 | sameasimage3 | 148.95533.52 |",0]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3152 | 2.423.56 |","| image1 | 27.93 | 0.110.17 |\n| --- | --- | --- |\n| image2 | 307.44 | 0.390.73 |\n| image3 | 3534 | 2.664.14 |\n| image4 | sameasimage3 | 1.812.22 |",1]
["| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3152 | 2.423.56 |","| image2 | 350.72 | 13.88285.48 |\n| --- | --- | --- |\n| image3 | 4000 | 214.641898.21 |\n| image4 | sameasimage3 | 148.95533.52 |",0]
["| ParameterName | ParameterDescritption | ParameterValue |\n| --- | --- | --- |\n| α | LearningRate | 0.001 |","| β | RegularizationControl | 0.02 |\n| --- | --- | --- |\n| NEP | NumberofEpochs | 5000 |\n| U | NumberofSamples | 604 |\n| V | NumberofSNPs | 1980 |\n| F | NumberofFeatures | 400 |\n| eta1 | etaforTrait1 | 0.2 |\n| eta2 | etaforTrait2 | 0.2 |\n| K1 | KforTrait1 | 3 |\n| K2 | KforTrait2 | 4 |\n| [a,b] | BoundaryvaluesforPandQ | [0,1] |",1]
["| ParameterName | ParameterDescritption | ParameterValue |\n| --- | --- | --- |\n| α | LearningRate | 0.001 |","| Parametername | Parametervalue |\n| --- | --- |\n| α1 | 9 |\n| α2 | 7 |\n| β1 | 4 |\n| β2 | 28 |\n| ml | 6 |\n| N | 300 |\n| M | 5 |\n| L | 4 |\n| #rounds | 100 |\n| #simulationruns | 10 |",0]
["| ParameterName | ParameterDescritption | ParameterValue |\n| --- | --- | --- |\n| α | LearningRate | 0.001 |","| β | RegularizationControl | 0.02 |\n| --- | --- | --- |\n| NEP | NumberofEpochs | 5000 |\n| U | NumberofSamples | 604 |\n| V | NumberofSNPs | 1980 |\n| F | NumberofFeatures | 400 |\n| eta1 | etaforTrait1 | 0.2 |\n| eta2 | etaforTrait2 | 0.2 |\n| K1 | KforTrait1 | 3 |\n| K2 | KforTrait2 | 4 |\n| [a,b] | BoundaryvaluesforPandQ | [0,1] |",1]
["| ParameterName | ParameterDescritption | ParameterValue |\n| --- | --- | --- |\n| α | LearningRate | 0.001 |","| ml | 6 |\n| --- | --- |\n| N | 300 |\n| M | 5 |\n| L | 4 |\n| #rounds | 100 |\n| #simulationruns | 10 |",0]
["| #samples | Similaritymeasure | SSD | PW |\n| --- | --- | --- | --- |\n| 1000000 | Avg.executiontime(insec) | 1.21 | 1.63 |\n| Relativeexec.timetoSSD | 1 | 1.34 |  |","| Theoreticrelativeexec.timetoSSD | 1 | 1.17 |  |\n| --- | --- | --- | --- |\n|  | Overhead | 1 | 1.13 |",1]
["| #samples | Similaritymeasure | SSD | PW |\n| --- | --- | --- | --- |\n| 1000000 | Avg.executiontime(insec) | 1.21 | 1.63 |\n| Relativeexec.timetoSSD | 1 | 1.34 |  |","| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±429.539s |  |\n| 2threads | ±224.99s | 1.9 |\n| 8threads | ±93.8716s | 4.6 |\n| 16threads | ±98.3057s | 4.3 |\n| 32threads | ±95.8294s | 4.5 |\n| CUDA | ±98.71s | 4.4 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |\n| 1thread | ±665.74s |  |\n| 2threads | ±355.144s | 1.9 |\n| 8threads | ±158.912s | 4.2 |\n| 16threads | ±121.667s | 5.5 |\n| 32threads | ±122.121s | 5.5 |\n| CUDA | ±107.214s | 6.2 |",0]
["| #samples | Similaritymeasure | SSD | PW |\n| --- | --- | --- | --- |\n| 1000000 | Avg.executiontime(insec) | 1.21 | 1.63 |","| Relativeexec.timetoSSD | 1 | 1.34 |  |\n| --- | --- | --- | --- |\n| Theoreticrelativeexec.timetoSSD | 1 | 1.17 |  |\n|  | Overhead | 1 | 1.13 |",1]
["| #samples | Similaritymeasure | SSD | PW |\n| --- | --- | --- | --- |\n| 1000000 | Avg.executiontime(insec) | 1.21 | 1.63 |","| 32threads | ±122.121s | 5.5 |\n| --- | --- | --- |\n| CUDA | ±107.214s | 6.2 |",0]
["| Symbol | Deﬁnition | Value |\n| --- | --- | --- |\n| b | Boundaryofsocialforceinmetres | 3m |\n| ri | Radiusoftarget’sinﬂuenceinmetres | 0.2m |","| m | Massoftarget | 80kg |\n| --- | --- | --- |\n| fa | Magnitudeofattractiveforce | 500N |\n| fr | Magnitudeofrepulsiveforce | 500N |\n| ∆t | Timeinterval | 1/25 |",1]
["| Symbol | Deﬁnition | Value |\n| --- | --- | --- |\n| b | Boundaryofsocialforceinmetres | 3m |\n| ri | Radiusoftarget’sinﬂuenceinmetres | 0.2m |","| Method/Struct. | Harm.osc. | Beam | Cant.grand. | Real.grand. |\n| --- | --- | --- | --- | --- |\n| fullsystem |  |  |  |  |\n| ndof<br>nL<br>MC50<br>Freq.domain<br>Timedomain | 1<br>14<br>0.601s<br>0.106s<br>0.112s | 29<br>86<br>20.078s<br>2.672s<br>2.392s | 504<br>1512<br>380.451s<br>74.639s<br>38.915s | 4068<br>12546<br>5484s<br>4178s<br>6507s |\n| partialmodaltransform,cfequations(??),(??)and(??) |  |  |  |  |\n| neig<br>feig<br>nL<br>MC50<br>Freq.domain<br>Timedomain | –<br>–<br>–<br>–<br>–<br>– | 7<br>37Hz<br>42<br>13.240s<br>1.764s<br>1.588s | 10<br>30Hz<br>524<br>36.214s<br>4.452s<br>2.582s | 50<br>23Hz<br>4510<br>307s<br>734s<br>67s |",0]
["| Symbol | Deﬁnition | Value |\n| --- | --- | --- |\n| b | Boundaryofsocialforceinmetres | 3m |\n| ri | Radiusoftarget’sinﬂuenceinmetres | 0.2m |\n| m | Massoftarget | 80kg |","| fa | Magnitudeofattractiveforce | 500N |\n| --- | --- | --- |\n| fr | Magnitudeofrepulsiveforce | 500N |\n| ∆t | Timeinterval | 1/25 |",1]
["| Symbol | Deﬁnition | Value |\n| --- | --- | --- |\n| b | Boundaryofsocialforceinmetres | 3m |\n| ri | Radiusoftarget’sinﬂuenceinmetres | 0.2m |\n| m | Massoftarget | 80kg |","| partialmodaltransform,cfequations(??),(??)and(??) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| neig<br>feig<br>nL<br>MC50<br>Freq.domain<br>Timedomain | –<br>–<br>–<br>–<br>–<br>– | 7<br>37Hz<br>42<br>13.240s<br>1.764s<br>1.588s | 10<br>30Hz<br>524<br>36.214s<br>4.452s<br>2.582s | 50<br>23Hz<br>4510<br>307s<br>734s<br>67s |",0]
["| ModelsMT06MT08Average |\n| --- |\n| Baseline38.6331.1134.87 |\n| RNNrerank39.0331.5035.26 |\n| LSTMrerank39.2031.9035.55 |","| FFN-LMrerank38.9331.4135.14 |\n| --- |\n| genCNNrerank39.9032.5036.20 |\n| Base+FFN-LM39.0831.6035.34 |\n| genCNNrerank40.432.8536.63 |",1]
["| ModelsMT06MT08Average |\n| --- |\n| Baseline38.6331.1134.87 |\n| RNNrerank39.0331.5035.26 |\n| LSTMrerank39.2031.9035.55 |","| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |\n| DG2 | 69.71 | 1238960 | 18.998 |\n| DG4 | 68.98 | 1202096 | 18.595 |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["| ModelsMT06MT08Average |\n| --- |\n| Baseline38.6331.1134.87 |","| RNNrerank39.0331.5035.26 |\n| --- |\n| LSTMrerank39.2031.9035.55 |\n| FFN-LMrerank38.9331.4135.14 |\n| genCNNrerank39.9032.5036.20 |\n| Base+FFN-LM39.0831.6035.34 |\n| genCNNrerank40.432.8536.63 |",1]
["| ModelsMT06MT08Average |\n| --- |\n| Baseline38.6331.1134.87 |","| DG2 | 69.71 | 1238960 | 18.998 |\n| --- | --- | --- | --- |\n| DG4 | 68.98 | 1202096 | 18.595 |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 4 | 0.05 | 0.07 | 0.24 | 1.06 | 0.03 | 0.05 | 0.24 | 0.95 |\n| 5 | 0.05 | 0.09 | 0.34 | 1.13 | 0.03 | 0.08 | 0.36 | 0.99 |","| 6 | 0.05 | 0.13 | 0.50 | 1.22 | 0.03 | 0.10 | 0.48 | 1.13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 0.05 | 0.22 | 0.59 | 1.33 | 0.04 | 0.16 | 0.62 | 1.25 |\n| 8 | 0.07 | 0.31 | 0.76 | 1.41 | 0.04 | 0.23 | 0.73 | 1.57 |\n| 9 | ∗<br>0.07 | ∗<br>0.36 | 0.89 | 1.56 | 0.05 | 0.31 | 0.92 | 1.69 |\n| 10 | ∗<br>0.08 | ∗<br>0.40 | 1.09 | 1.80 | ∗<br>0.05 | ∗<br>0.42 | 1.07 | 1.80 |",1]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 4 | 0.05 | 0.07 | 0.24 | 1.06 | 0.03 | 0.05 | 0.24 | 0.95 |\n| 5 | 0.05 | 0.09 | 0.34 | 1.13 | 0.03 | 0.08 | 0.36 | 0.99 |","|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 6 | 69 | 0.62 | 356 | 1.21 | 46 | 0.41 | 366 | 1.38 |\n| 7 | 163 | 1.11 | 609 | 1.34 | 110 | 0.81 | 584 | 1.41 |\n| 8 | 367 | 2.06 | 901 | 1.54 | 312 | 1.79 | 908 | 1.61 |\n| 9 | 832 | 4.37 | 1243 | 1.70 | 586 | 3.05 | 1207 | 1.77 |\n| 10 | 1516 | 7.26 | 1734 | 1.81 | 1115 | 5.54 | 1700 | 2.00 |\n| 11 | 2992 | 13.14 | 2147 | 1.93 | 2087 | 9.50 | 2128 | 2.27 |\n| 12 | 4997 | 21.56 | 2849 | 2.16 | 3510 | 14.13 | 2765 | 2.43 |",0]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 4 | 0.05 | 0.07 | 0.24 | 1.06 | 0.03 | 0.05 | 0.24 | 0.95 |\n| 5 | 0.05 | 0.09 | 0.34 | 1.13 | 0.03 | 0.08 | 0.36 | 0.99 |\n| 6 | 0.05 | 0.13 | 0.50 | 1.22 | 0.03 | 0.10 | 0.48 | 1.13 |\n| 7 | 0.05 | 0.22 | 0.59 | 1.33 | 0.04 | 0.16 | 0.62 | 1.25 |","| 8 | 0.07 | 0.31 | 0.76 | 1.41 | 0.04 | 0.23 | 0.73 | 1.57 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | ∗<br>0.07 | ∗<br>0.36 | 0.89 | 1.56 | 0.05 | 0.31 | 0.92 | 1.69 |\n| 10 | ∗<br>0.08 | ∗<br>0.40 | 1.09 | 1.80 | ∗<br>0.05 | ∗<br>0.42 | 1.07 | 1.80 |",1]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 4 | 0.05 | 0.07 | 0.24 | 1.06 | 0.03 | 0.05 | 0.24 | 0.95 |\n| 5 | 0.05 | 0.09 | 0.34 | 1.13 | 0.03 | 0.08 | 0.36 | 0.99 |\n| 6 | 0.05 | 0.13 | 0.50 | 1.22 | 0.03 | 0.10 | 0.48 | 1.13 |\n| 7 | 0.05 | 0.22 | 0.59 | 1.33 | 0.04 | 0.16 | 0.62 | 1.25 |","| 8 | 367 | 2.06 | 901 | 1.54 | 312 | 1.79 | 908 | 1.61 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 832 | 4.37 | 1243 | 1.70 | 586 | 3.05 | 1207 | 1.77 |\n| 10 | 1516 | 7.26 | 1734 | 1.81 | 1115 | 5.54 | 1700 | 2.00 |\n| 11 | 2992 | 13.14 | 2147 | 1.93 | 2087 | 9.50 | 2128 | 2.27 |\n| 12 | 4997 | 21.56 | 2849 | 2.16 | 3510 | 14.13 | 2765 | 2.43 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 99742 | 246490 | 0.34 | 0.35 |\n| . | 3149 | 7935 | 0.41 | 0.44 |\n| [ | 2843 | 5748 | 0.37 | 0.35 |\n| die | 1606 | 5013 | 0.46 | 0.41 |\n| der | 1164 | 4883 | 0.41 | 0.39 |\n| das | 778 | 3238 | 0.44 | 0.39 |","| [1]; | 649 | 1655 | 0.44 | 0.41 |\n| --- | --- | --- | --- | --- |\n| ? | 578 | 1847 | 0.44 | 0.44 |\n| & | 485 | 3932 | 0.43 | 0.38 |\n| eine | 466 | 1882 | 0.47 | 0.40 |\n| nicht | 460 | 2755 | 0.40 | 0.41 |\n| the | 460 | 1836 | 0.43 | 0.36 |\n| ein | 459 | 2028 | 0.45 | 0.39 |\n| daß | 409 | 2124 | 0.39 | 0.39 |\n| ” | 344 | 2166 | 0.31 | 0.53 |\n| ist | 343 | 2911 | 0.41 | 0.32 |\n| den | 301 | 1896 | 0.41 | 0.36 |\n| to | 295 | 1095 | 0.42 | 0.40 |\n| es | 290 | 2493 | 0.32 | 0.40 |\n| zu | 261 | 1905 | 0.52 | 0.28 |\n| so | 244 | 1662 | 0.47 | 0.36 |\n| ; | 237 | 1449 | 0.36 | 0.45 |\n| a | 237 | 1075 | 0.44 | 0.38 |\n| ( | 233 | 1883 | 0.53 | 0.24 |\n| von | 222 | 1606 | 0.47 | 0.32 |\n| of | 215 | 1054 | 0.36 | 0.44 |\n| that | 202 | 881 | 0.41 | 0.43 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 99742 | 246490 | 0.34 | 0.35 |\n| . | 3149 | 7935 | 0.41 | 0.44 |\n| [ | 2843 | 5748 | 0.37 | 0.35 |\n| die | 1606 | 5013 | 0.46 | 0.41 |\n| der | 1164 | 4883 | 0.41 | 0.39 |\n| das | 778 | 3238 | 0.44 | 0.39 |","| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 173871 | 593619 | 0.29 | 0.29 |\n| , | 13062 | 32848 | 0.45 | 0.43 |\n| de | 11350 | 38458 | 0.38 | 0.36 |\n| que | 7112 | 20608 | 0.43 | 0.42 |\n| en | 4193 | 15828 | 0.50 | 0.34 |\n| a | 3213 | 11943 | 0.44 | 0.38 |\n| y | 2295 | 13505 | 0.42 | 0.42 |\n| del | 1441 | 6602 | 0.45 | 0.27 |\n| una | 1426 | 5314 | 0.48 | 0.34 |\n| un | 1263 | 5187 | 0.44 | 0.35 |\n| se | 1227 | 6498 | 0.44 | 0.30 |\n| para | 903 | 4338 | 0.52 | 0.37 |\n| con | 730 | 4354 | 0.47 | 0.37 |\n| no | 716 | 4689 | 0.45 | 0.34 |\n| es | 564 | 4390 | 0.41 | 0.34 |\n| al | 530 | 3076 | 0.51 | 0.30 |\n| ha | 464 | 2643 | 0.41 | 0.31 |\n| por | 418 | 4562 | 0.41 | 0.32 |\n| su | 276 | 2285 | 0.38 | 0.39 |\n| sobre | 266 | 2316 | 0.48 | 0.32 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 99742 | 246490 | 0.34 | 0.35 |\n| . | 3149 | 7935 | 0.41 | 0.44 |\n| [ | 2843 | 5748 | 0.37 | 0.35 |\n| die | 1606 | 5013 | 0.46 | 0.41 |\n| der | 1164 | 4883 | 0.41 | 0.39 |","| das | 778 | 3238 | 0.44 | 0.39 |\n| --- | --- | --- | --- | --- |\n| [1]; | 649 | 1655 | 0.44 | 0.41 |\n| ? | 578 | 1847 | 0.44 | 0.44 |\n| & | 485 | 3932 | 0.43 | 0.38 |\n| eine | 466 | 1882 | 0.47 | 0.40 |\n| nicht | 460 | 2755 | 0.40 | 0.41 |\n| the | 460 | 1836 | 0.43 | 0.36 |\n| ein | 459 | 2028 | 0.45 | 0.39 |\n| daß | 409 | 2124 | 0.39 | 0.39 |\n| ” | 344 | 2166 | 0.31 | 0.53 |\n| ist | 343 | 2911 | 0.41 | 0.32 |\n| den | 301 | 1896 | 0.41 | 0.36 |\n| to | 295 | 1095 | 0.42 | 0.40 |\n| es | 290 | 2493 | 0.32 | 0.40 |\n| zu | 261 | 1905 | 0.52 | 0.28 |\n| so | 244 | 1662 | 0.47 | 0.36 |\n| ; | 237 | 1449 | 0.36 | 0.45 |\n| a | 237 | 1075 | 0.44 | 0.38 |\n| ( | 233 | 1883 | 0.53 | 0.24 |\n| von | 222 | 1606 | 0.47 | 0.32 |\n| of | 215 | 1054 | 0.36 | 0.44 |\n| that | 202 | 881 | 0.41 | 0.43 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 99742 | 246490 | 0.34 | 0.35 |\n| . | 3149 | 7935 | 0.41 | 0.44 |\n| [ | 2843 | 5748 | 0.37 | 0.35 |\n| die | 1606 | 5013 | 0.46 | 0.41 |\n| der | 1164 | 4883 | 0.41 | 0.39 |","| no | 716 | 4689 | 0.45 | 0.34 |\n| --- | --- | --- | --- | --- |\n| es | 564 | 4390 | 0.41 | 0.34 |\n| al | 530 | 3076 | 0.51 | 0.30 |\n| ha | 464 | 2643 | 0.41 | 0.31 |\n| por | 418 | 4562 | 0.41 | 0.32 |\n| su | 276 | 2285 | 0.38 | 0.39 |\n| sobre | 266 | 2316 | 0.48 | 0.32 |",0]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.3174µ | 35.1642µ | 212.7797µ |\n| Averagepower<br>consumption(watts) | 3.0448E-04 | 4.6374E-05 | 3.6008E-04 |","| PropagationDelay(s) | 96.388p7 | 201.578f | 102.64p |\n| --- | --- | --- | --- |\n| Powerdelayproduct(J) | 29.348E-15 | 9.347E-18 | 36.958E-15 |",1]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.3174µ | 35.1642µ | 212.7797µ |\n| Averagepower<br>consumption(watts) | 3.0448E-04 | 4.6374E-05 | 3.6008E-04 |","| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |\n| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.3174µ | 35.1642µ | 212.7797µ |\n| Averagepower<br>consumption(watts) | 3.0448E-04 | 4.6374E-05 | 3.6008E-04 |","| PropagationDelay(s) | 96.388p7 | 201.578f | 102.64p |\n| --- | --- | --- | --- |\n| Powerdelayproduct(J) | 29.348E-15 | 9.347E-18 | 36.958E-15 |",1]
["| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.3174µ | 35.1642µ | 212.7797µ |\n| Averagepower<br>consumption(watts) | 3.0448E-04 | 4.6374E-05 | 3.6008E-04 |","| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |\n| --- | --- | --- | --- |\n| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| NMS | AP(all) | AP(H) | AR(H) | AP(OKS) |\n| --- | --- | --- | --- | --- |\n| NMS(thr=0.3) | 40.1 | 53.5 | 60.3 | 68.2 |\n| NMS(thr=0.4) | 40.5 | 54.4 | 61.7 | 68.9 |\n| NMS(thr=0.5) | 40.8 | 54.9 | 62.9 | 69.2 |","| NMS(thr=0.6) | 40.8 | 55.2 | 64.3 | 69.2 |\n| --- | --- | --- | --- | --- |\n| Soft-NMS | 41.1 | 55.3 | 67.0 | 69.4 |",1]
["| NMS | AP(all) | AP(H) | AR(H) | AP(OKS) |\n| --- | --- | --- | --- | --- |\n| NMS(thr=0.3) | 40.1 | 53.5 | 60.3 | 68.2 |\n| NMS(thr=0.4) | 40.5 | 54.4 | 61.7 | 68.9 |\n| NMS(thr=0.5) | 40.8 | 54.9 | 62.9 | 69.2 |","|  | AU | AP | VP-25 | SF |\n| --- | --- | --- | --- | --- |\n| N=60 | 0.600 | 0.569 | 0.722 | 0.920 |\n| N=70 | 0.612 | 0.655 | 0.801 | 0.992 |\n| N=80 | 0.645 | 0.657 | 0.814 | 0.989 |\n| N=90 | 0.642 | 0.678 | 0.816 | 0.986 |\n| N=100 | 0.663 | 0.685 | 0.823 | 0.983 |",0]
["| NMS | AP(all) | AP(H) | AR(H) | AP(OKS) |\n| --- | --- | --- | --- | --- |\n| NMS(thr=0.3) | 40.1 | 53.5 | 60.3 | 68.2 |\n| NMS(thr=0.4) | 40.5 | 54.4 | 61.7 | 68.9 |\n| NMS(thr=0.5) | 40.8 | 54.9 | 62.9 | 69.2 |","| NMS(thr=0.6) | 40.8 | 55.2 | 64.3 | 69.2 |\n| --- | --- | --- | --- | --- |\n| Soft-NMS | 41.1 | 55.3 | 67.0 | 69.4 |",1]
["| NMS | AP(all) | AP(H) | AR(H) | AP(OKS) |\n| --- | --- | --- | --- | --- |\n| NMS(thr=0.3) | 40.1 | 53.5 | 60.3 | 68.2 |\n| NMS(thr=0.4) | 40.5 | 54.4 | 61.7 | 68.9 |\n| NMS(thr=0.5) | 40.8 | 54.9 | 62.9 | 69.2 |","| N=90 | 0.642 | 0.678 | 0.816 | 0.986 |\n| --- | --- | --- | --- | --- |\n| N=100 | 0.663 | 0.685 | 0.823 | 0.983 |",0]
["| Processingstep | Hardware | DNN | ResNet-CNN | BLSTM | LACE |\n| --- | --- | --- | --- | --- | --- |\n| AMtraining | GPU | 0.012 | 0.60 | 0.022 | 0.23 |\n| AMevaluation | GPU | 0.0064 | 0.15 | 0.0081 | 0.081 |","| AMevaluation | CPU | 0.052 | 11.7 | n/a | 8.47 |\n| --- | --- | --- | --- | --- | --- |\n| Decoding | GPU | 1.04 | 1.19 | 1.40 | 1.38 |",1]
["| Processingstep | Hardware | DNN | ResNet-CNN | BLSTM | LACE |\n| --- | --- | --- | --- | --- | --- |\n| AMtraining | GPU | 0.012 | 0.60 | 0.022 | 0.23 |\n| AMevaluation | GPU | 0.0064 | 0.15 | 0.0081 | 0.081 |","| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |\n| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["| Processingstep | Hardware | DNN | ResNet-CNN | BLSTM | LACE |\n| --- | --- | --- | --- | --- | --- |\n| AMtraining | GPU | 0.012 | 0.60 | 0.022 | 0.23 |","| AMevaluation | GPU | 0.0064 | 0.15 | 0.0081 | 0.081 |\n| --- | --- | --- | --- | --- | --- |\n| AMevaluation | CPU | 0.052 | 11.7 | n/a | 8.47 |\n| Decoding | GPU | 1.04 | 1.19 | 1.40 | 1.38 |",1]
["| Processingstep | Hardware | DNN | ResNet-CNN | BLSTM | LACE |\n| --- | --- | --- | --- | --- | --- |\n| AMtraining | GPU | 0.012 | 0.60 | 0.022 | 0.23 |","| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| --- | --- | --- | --- |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["| LayerType | conv11 | pool11 | tanh11 | conv12 | conv13 | conv21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KernelSize/Stride | 25×8×8/1 | 2×2/2 | - | 50×8×8/1 | 32×1×1/1 | 25×8×8/1 |\n| SlidingWindow<br>Fwd.Prop.(ms) | 39485.6 | 1960.2 | 693.0 | 59017.2 | 6473.1 | 63548.4 |\n| OurMethod<br>Fwd.Prop.(ms) | 4.398 | 0.854 | 0.337 | 24.42 | 2.466 | 28.90 |\n| SpeedupbyOurs<br>Fwd.Prop. | 8978.1 | 2295.3 | 2056.4 | 2416.8 | 2631.3 | 2198.9 |\n| SlidingWindow<br>Bwd.Prop.(ms) | 73961.5 | 10054.8 | 602.6 | 146019.3 | 25206.7 | 133706.2 |\n| OurMethod<br>Bwd.Prop.(ms) | 8.193 | 1.428 | 0.282 | 66.55 | 6.778 | 71.69 |\n| SpeedupbyOurs<br>Bwd.Prop. | 9027.4 | 7041.2 | 2136.9 | 2194.1 | 3718.9 | 1865.1 |\n| LayerType | conv22 | conv23 | conv31 | pool31 | tanh31 | conv32 |\n|  | 50×8×8/1 | 32×1×1/1 | 25×8×8/1 | 2×2/2 |  | 50×8×8/1 |\n| SlidingWindow<br>Fwd.Prop.(ms) | 14765.3 | 2433.4 | 17059.8 | 32.15 | 13.81 | 17015.4 |\n| OurMethod<br>Fwd.Prop.(ms) | 18.98 | 1.920 | 20.55 | 0.488 | 0.164 | 10.76 |\n| SpeedupbyOurs<br>Bwd.Prop. | 777.9 | 1267.4 | 830.2 | 65.9 | 84.2 | 1581.4 |","| SlidingWindow<br>Bwd.Prop.(ms) | 28744.1 | 8522.3 | 16727.5 | 128.358 | 15.91 | 8657.7 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OurMethod<br>Fwd.Prop.(ms) | 52.35 | 5.368 | 50.89 | 0.630 | 0.180 | 29.47 |\n| SpeedupbyOurs<br>Bwd.Prop. | 549.1 | 1587.6 | 328.7 | 203.7 | 88.4 | 293.8 |",1]
["| LayerType | conv11 | pool11 | tanh11 | conv12 | conv13 | conv21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KernelSize/Stride | 25×8×8/1 | 2×2/2 | - | 50×8×8/1 | 32×1×1/1 | 25×8×8/1 |\n| SlidingWindow<br>Fwd.Prop.(ms) | 39485.6 | 1960.2 | 693.0 | 59017.2 | 6473.1 | 63548.4 |\n| OurMethod<br>Fwd.Prop.(ms) | 4.398 | 0.854 | 0.337 | 24.42 | 2.466 | 28.90 |\n| SpeedupbyOurs<br>Fwd.Prop. | 8978.1 | 2295.3 | 2056.4 | 2416.8 | 2631.3 | 2198.9 |\n| SlidingWindow<br>Bwd.Prop.(ms) | 73961.5 | 10054.8 | 602.6 | 146019.3 | 25206.7 | 133706.2 |\n| OurMethod<br>Bwd.Prop.(ms) | 8.193 | 1.428 | 0.282 | 66.55 | 6.778 | 71.69 |\n| SpeedupbyOurs<br>Bwd.Prop. | 9027.4 | 7041.2 | 2136.9 | 2194.1 | 3718.9 | 1865.1 |\n| LayerType | conv22 | conv23 | conv31 | pool31 | tanh31 | conv32 |\n|  | 50×8×8/1 | 32×1×1/1 | 25×8×8/1 | 2×2/2 |  | 50×8×8/1 |\n| SlidingWindow<br>Fwd.Prop.(ms) | 14765.3 | 2433.4 | 17059.8 | 32.15 | 13.81 | 17015.4 |\n| OurMethod<br>Fwd.Prop.(ms) | 18.98 | 1.920 | 20.55 | 0.488 | 0.164 | 10.76 |\n| SpeedupbyOurs<br>Bwd.Prop. | 777.9 | 1267.4 | 830.2 | 65.9 | 84.2 | 1581.4 |","| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |\n| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["| LayerType | conv11 | pool11 | tanh11 | conv12 | conv13 | conv21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KernelSize/Stride | 25×8×8/1 | 2×2/2 | - | 50×8×8/1 | 32×1×1/1 | 25×8×8/1 |","| SlidingWindow<br>Fwd.Prop.(ms) | 39485.6 | 1960.2 | 693.0 | 59017.2 | 6473.1 | 63548.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OurMethod<br>Fwd.Prop.(ms) | 4.398 | 0.854 | 0.337 | 24.42 | 2.466 | 28.90 |\n| SpeedupbyOurs<br>Fwd.Prop. | 8978.1 | 2295.3 | 2056.4 | 2416.8 | 2631.3 | 2198.9 |\n| SlidingWindow<br>Bwd.Prop.(ms) | 73961.5 | 10054.8 | 602.6 | 146019.3 | 25206.7 | 133706.2 |\n| OurMethod<br>Bwd.Prop.(ms) | 8.193 | 1.428 | 0.282 | 66.55 | 6.778 | 71.69 |\n| SpeedupbyOurs<br>Bwd.Prop. | 9027.4 | 7041.2 | 2136.9 | 2194.1 | 3718.9 | 1865.1 |\n| LayerType | conv22 | conv23 | conv31 | pool31 | tanh31 | conv32 |\n|  | 50×8×8/1 | 32×1×1/1 | 25×8×8/1 | 2×2/2 |  | 50×8×8/1 |\n| SlidingWindow<br>Fwd.Prop.(ms) | 14765.3 | 2433.4 | 17059.8 | 32.15 | 13.81 | 17015.4 |\n| OurMethod<br>Fwd.Prop.(ms) | 18.98 | 1.920 | 20.55 | 0.488 | 0.164 | 10.76 |\n| SpeedupbyOurs<br>Bwd.Prop. | 777.9 | 1267.4 | 830.2 | 65.9 | 84.2 | 1581.4 |\n| SlidingWindow<br>Bwd.Prop.(ms) | 28744.1 | 8522.3 | 16727.5 | 128.358 | 15.91 | 8657.7 |\n| OurMethod<br>Fwd.Prop.(ms) | 52.35 | 5.368 | 50.89 | 0.630 | 0.180 | 29.47 |\n| SpeedupbyOurs<br>Bwd.Prop. | 549.1 | 1587.6 | 328.7 | 203.7 | 88.4 | 293.8 |",1]
["| LayerType | conv11 | pool11 | tanh11 | conv12 | conv13 | conv21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KernelSize/Stride | 25×8×8/1 | 2×2/2 | - | 50×8×8/1 | 32×1×1/1 | 25×8×8/1 |","| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| --- | --- | --- | --- | --- | --- |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["|  | BMCNN | woBMCNN | DnCNN |\n| --- | --- | --- | --- |\n| Cameraman | 30.20 | 30.08 | 30.11 |","| Lena | 32.53 | 32.45 | 32.48 |\n| --- | --- | --- | --- |\n| Barbara | 30.58 | 29.91 | 29.94 |\n| Boat | 30.25 | 30.17 | 30.21 |\n| Couple | 30.12 | 30.09 | 30.10 |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |\n| Jetplane | 32.17 | 32.02 | 32.06 |\n| Man | 30.06 | 30.04 | 30.06 |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",1]
["|  | BMCNN | woBMCNN | DnCNN |\n| --- | --- | --- | --- |\n| Cameraman | 30.20 | 30.08 | 30.11 |","|  | BMCNN-DnCNN | BMCNN-BM3D |\n| --- | --- | --- |\n| Cameraman | 30.20 | 30.03 |\n| Lena | 32.53 | 32.49 |\n| Barbara | 30.58 | 31.23 |\n| Boat | 30.25 | 30.16 |\n| Couple | 30.12 | 30.02 |\n| Fingerprint | 28.02 | 28.06 |\n| Hill | 30.00 | 30.05 |\n| House | 33.32 | 33.43 |\n| Jetplane | 32.17 | 32.14 |\n| Man | 30.06 | 29.94 |\n| Montage | 33.47 | 33.31 |\n| Peppers | 30.93 | 30.78 |\n| Average | 30.97 | 30.97 |",0]
["|  | BMCNN | woBMCNN | DnCNN |\n| --- | --- | --- | --- |\n| Cameraman | 30.20 | 30.08 | 30.11 |\n| Lena | 32.53 | 32.45 | 32.48 |\n| Barbara | 30.58 | 29.91 | 29.94 |\n| Boat | 30.25 | 30.17 | 30.21 |\n| Couple | 30.12 | 30.09 | 30.10 |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |","| Jetplane | 32.17 | 32.02 | 32.06 |\n| --- | --- | --- | --- |\n| Man | 30.06 | 30.04 | 30.06 |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",1]
["|  | BMCNN | woBMCNN | DnCNN |\n| --- | --- | --- | --- |\n| Cameraman | 30.20 | 30.08 | 30.11 |\n| Lena | 32.53 | 32.45 | 32.48 |\n| Barbara | 30.58 | 29.91 | 29.94 |\n| Boat | 30.25 | 30.17 | 30.21 |\n| Couple | 30.12 | 30.09 | 30.10 |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |","| Barbara | 30.58 | 31.23 |\n| --- | --- | --- |\n| Boat | 30.25 | 30.16 |\n| Couple | 30.12 | 30.02 |\n| Fingerprint | 28.02 | 28.06 |\n| Hill | 30.00 | 30.05 |\n| House | 33.32 | 33.43 |\n| Jetplane | 32.17 | 32.14 |\n| Man | 30.06 | 29.94 |\n| Montage | 33.47 | 33.31 |\n| Peppers | 30.93 | 30.78 |\n| Average | 30.97 | 30.97 |",0]
["| Structure | CS |\n| --- | --- |\n| 1LSTMlayer | 71.8 |\n| 2LSTMlayers | 75.2 |\n| 3LSTMlayers | 76.0 |\n| 4LSTMlayers | 76.0 |\n| 5LSTMlayers | 76.7 |\n| 6LSTMlayers | 76.7 |","| 5LSTMlayers | 79.4 |\n| --- | --- |\n| ResNet-18 | 86.1 |\n| ResNet-50 | 87.5 |\n| ResNet-101 | 87.3 |\n| ResNet-152 | 87.2 |\n| ResNet-50+8layers | 88.2 |",1]
["| Structure | CS |\n| --- | --- |\n| 1LSTMlayer | 71.8 |\n| 2LSTMlayers | 75.2 |\n| 3LSTMlayers | 76.0 |\n| 4LSTMlayers | 76.0 |\n| 5LSTMlayers | 76.7 |\n| 6LSTMlayers | 76.7 |","| Numberoflayers | 512width | 1024width |\n| --- | --- | --- |\n| 3 | 48.5 | 38.1 |\n| 4 | 38.3 | 34.6 |\n| 5 | 36.2 | 31.9 |\n| 6 | 34.5 | 30.3 |\n| 7 | 32.5 | 30.6 |\n| 8 | 31.0 | 31.3 |\n| 9 | 31.4 | 29.4 |\n| 10 | 31.5 | 29.4 |",0]
["| Structure | CS |\n| --- | --- |\n| 1LSTMlayer | 71.8 |\n| 2LSTMlayers | 75.2 |\n| 3LSTMlayers | 76.0 |\n| 4LSTMlayers | 76.0 |\n| 5LSTMlayers | 76.7 |\n| 6LSTMlayers | 76.7 |\n| 5LSTMlayers | 79.4 |\n| ResNet-18 | 86.1 |\n| ResNet-50 | 87.5 |\n| ResNet-101 | 87.3 |","| ResNet-152 | 87.2 |\n| --- | --- |\n| ResNet-50+8layers | 88.2 |",1]
["| Structure | CS |\n| --- | --- |\n| 1LSTMlayer | 71.8 |\n| 2LSTMlayers | 75.2 |\n| 3LSTMlayers | 76.0 |\n| 4LSTMlayers | 76.0 |\n| 5LSTMlayers | 76.7 |\n| 6LSTMlayers | 76.7 |\n| 5LSTMlayers | 79.4 |\n| ResNet-18 | 86.1 |\n| ResNet-50 | 87.5 |\n| ResNet-101 | 87.3 |","| 7 | 32.5 | 30.6 |\n| --- | --- | --- |\n| 8 | 31.0 | 31.3 |\n| 9 | 31.4 | 29.4 |\n| 10 | 31.5 | 29.4 |",0]
["| Class | Ours | Others | Diﬀerence |\n| --- | --- | --- | --- |\n| Social<br>Cartoon<br>Aﬀective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 |\n| Other14categories | - | - | - |","| Fractal<br>LowResolution<br>Pattern | .5820<br>.5663<br>.5638 | .5518<br>.5418<br>.5509 | .0302<br>.0245<br>.0129 |\n| --- | --- | --- | --- |\n| Overall | .6221 | .5755 | .0466 |",1]
["| Class | Ours | Others | Diﬀerence |\n| --- | --- | --- | --- |\n| Social<br>Cartoon<br>Aﬀective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 |\n| Other14categories | - | - | - |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| Class | Ours | Others | Diﬀerence |\n| --- | --- | --- | --- |\n| Social<br>Cartoon<br>Aﬀective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 |\n| Other14categories | - | - | - |","| Fractal<br>LowResolution<br>Pattern | .5820<br>.5663<br>.5638 | .5518<br>.5418<br>.5509 | .0302<br>.0245<br>.0129 |\n| --- | --- | --- | --- |\n| Overall | .6221 | .5755 | .0466 |",1]
["| Class | Ours | Others | Diﬀerence |\n| --- | --- | --- | --- |\n| Social<br>Cartoon<br>Aﬀective | .6607<br>.6586<br>.6646 | .5764<br>.5918<br>.6018 | .0843<br>.0668<br>.0628 |\n| Other14categories | - | - | - |","| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| Method | UCF101-split1 | HMDB51-split1 |\n| --- | --- | --- |\n| DrLim | 45.7 | 16.3 |","| TempCoh | 45.4 | 15.9 |\n| --- | --- | --- |\n| Obj.Patch | 40.7 | 15.6 |\n| Seq.Ver. | 50.9 | 19.8 |\n| Our-Stack-of-Diﬀ. | 60.3 | 32.5 |\n| Randweights-Stack-of-Diﬀ. | 51.3 | 28.3 |\n| ImageNetweights-Stack-of-Diﬀ. | 70.1 | 40.8 |",1]
["| Method | UCF101-split1 | HMDB51-split1 |\n| --- | --- | --- |\n| DrLim | 45.7 | 16.3 |","| Method | UCF101 | HMDB | HW2 |\n| --- | --- | --- | --- |\n| IDT+FV<br>IDT+HSV<br>IDT+Actionness<br>VideoDarwin<br>RankPool+IDT | 85.9<br>87.9<br>-<br>-<br>91.4 | 57.2<br>61.1<br>60.4<br>63.7<br>66.9 | 64.3<br>-<br>-<br>73.7<br>76.7 |\n| Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- |\n| Two-streamfusion<br>ST-ResNet | 92.5<br>93.4 | 65.4<br>66.4 | -<br>- |\n| Softattention<br>VideoLSTM | -<br>89.2 | 41.3<br>56.4 | -<br>- |\n| Two-streamFCAN-comp<br>Ensemble(4models) | 92.0<br>93.4 | 66.7<br>68.2 | 71.1<br>78.4 |",0]
["| Method | UCF101-split1 | HMDB51-split1 |\n| --- | --- | --- |\n| DrLim | 45.7 | 16.3 |\n| TempCoh | 45.4 | 15.9 |\n| Obj.Patch | 40.7 | 15.6 |\n| Seq.Ver. | 50.9 | 19.8 |","| Our-Stack-of-Diﬀ. | 60.3 | 32.5 |\n| --- | --- | --- |\n| Randweights-Stack-of-Diﬀ. | 51.3 | 28.3 |\n| ImageNetweights-Stack-of-Diﬀ. | 70.1 | 40.8 |",1]
["| Method | UCF101-split1 | HMDB51-split1 |\n| --- | --- | --- |\n| DrLim | 45.7 | 16.3 |\n| TempCoh | 45.4 | 15.9 |\n| Obj.Patch | 40.7 | 15.6 |\n| Seq.Ver. | 50.9 | 19.8 |","| Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- |\n| --- | --- | --- | --- |\n| Two-streamfusion<br>ST-ResNet | 92.5<br>93.4 | 65.4<br>66.4 | -<br>- |\n| Softattention<br>VideoLSTM | -<br>89.2 | 41.3<br>56.4 | -<br>- |\n| Two-streamFCAN-comp<br>Ensemble(4models) | 92.0<br>93.4 | 66.7<br>68.2 | 71.1<br>78.4 |",0]
["| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 |\n| Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 |\n| Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 |\n| Jumping | 100 | 100 | 10 | 12 | 71 | 21 | 63 |\n| Cliﬀbar | 98.48 | 87.88 | 99 | 53 | 47 | 71 | 8 |\n| Woman | 22.39 | 17.91 | 11.6 | 14 | 17 | 15 | 67 |","| Surfer | 80.32 | 98.14 | 70 | 64 | 24 | 71 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sylvester | 88.85 | 99.03 | 77 | 33 | 45 | 77 | 80 |\n| Cardark | 100 | 100 | 36 | 25 | 54 | 48 | 18 |\n| Faceocc1 | 100 | 100 | 43.4 | 80 | 74 | 60 | 82 |\n| Faceocc2 | 100 | 100 | 99 | 70 | 66 | 62 | 70 |\n| Twinning | 94.68 | 100 | 98 | 54 | 42 | 60 | 77 |\n| Box | 60.94 | 45.49 | 28.7 | 15 | 30 | 14 | 61 |",1]
["| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 |\n| Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 |\n| Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 |\n| Jumping | 100 | 100 | 10 | 12 | 71 | 21 | 63 |\n| Cliﬀbar | 98.48 | 87.88 | 99 | 53 | 47 | 71 | 8 |\n| Woman | 22.39 | 17.91 | 11.6 | 14 | 17 | 15 | 67 |","| Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cﬁnder | k |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 |\n| dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |\n| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |\n| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |\n| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 |  | 0.64 | 4 |\n| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 |  | 0.55 | 7 |\n| netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 |\n| celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 |\n| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |\n| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |\n| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |",0]
["| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 |\n| Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 |\n| Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 |","| Jumping | 100 | 100 | 10 | 12 | 71 | 21 | 63 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Cliﬀbar | 98.48 | 87.88 | 99 | 53 | 47 | 71 | 8 |\n| Woman | 22.39 | 17.91 | 11.6 | 14 | 17 | 15 | 67 |\n| Surfer | 80.32 | 98.14 | 70 | 64 | 24 | 71 | 61 |\n| Sylvester | 88.85 | 99.03 | 77 | 33 | 45 | 77 | 80 |\n| Cardark | 100 | 100 | 36 | 25 | 54 | 48 | 18 |\n| Faceocc1 | 100 | 100 | 43.4 | 80 | 74 | 60 | 82 |\n| Faceocc2 | 100 | 100 | 99 | 70 | 66 | 62 | 70 |\n| Twinning | 94.68 | 100 | 98 | 54 | 42 | 60 | 77 |\n| Box | 60.94 | 45.49 | 28.7 | 15 | 30 | 14 | 61 |",1]
["| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 |\n| Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 |\n| Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 |","| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |\n| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |",0]
["| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM |\n| --- | --- | --- | --- | --- | --- |\n| fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 |\n| fr1/desk2 | 0.022 | 0.048 | 0.071 | 0.046 | - |\n| fr1/room | 0.047 | 0.068 | 0.075 | 0.043 | 0.087 |","| fr2/desk | 0.009 | 0.071 | 0.034 | 0.017 | 0.057 |\n| --- | --- | --- | --- | --- | --- |\n| fr2/xyz | 0.004 | 0.011 | 0.029 | 0.018 | - |\n| fr3/oﬃce | 0.010 | 0.017 | 0.030 | 0.035 | - |\n| fr3/nst | 0.019 | 0.016 | 0.031 | 0.018 | - |",1]
["| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM |\n| --- | --- | --- | --- | --- | --- |\n| fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 |\n| fr1/desk2 | 0.022 | 0.048 | 0.071 | 0.046 | - |\n| fr1/room | 0.047 | 0.068 | 0.075 | 0.043 | 0.087 |","| Noiselevel | Easy | Hard | Tough |\n| --- | --- | --- | --- |\n| SIFT | 0.453 | 0.193 | 0.086 |\n| TFeat | 0.467 | 0.259 | 0.131 |\n| DeepCompare | 0.399 | 0.199 | 0.095 |\n| DeepDesc | 0.430 | 0.239 | 0.125 |\n| HardNet | 0.658 | 0.479 | 0.303 |\n| SKAR-EgoSeg | 0.495 | 0.226 | 0.102 |\n| SKAR-EgoSeg* | 0.507 | 0.251 | 0.123 |\n| SKAR-HPatches | 0.677 | 0.494 | 0.313 |\n| SKAR-HPatches* | 0.695 | 0.525 | 0.342 |",0]
["| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM |\n| --- | --- | --- | --- | --- | --- |\n| fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 |","| fr1/desk2 | 0.022 | 0.048 | 0.071 | 0.046 | - |\n| --- | --- | --- | --- | --- | --- |\n| fr1/room | 0.047 | 0.068 | 0.075 | 0.043 | 0.087 |\n| fr2/desk | 0.009 | 0.071 | 0.034 | 0.017 | 0.057 |\n| fr2/xyz | 0.004 | 0.011 | 0.029 | 0.018 | - |\n| fr3/oﬃce | 0.010 | 0.017 | 0.030 | 0.035 | - |\n| fr3/nst | 0.019 | 0.016 | 0.031 | 0.018 | - |",1]
["| Sequence | ORB-SLAM2<br>(RGB-D) | Elastic-<br>Fusion | Kintinuous | DVO<br>SLAM | RGBD<br>SLAM |\n| --- | --- | --- | --- | --- | --- |\n| fr1/desk | 0.016 | 0.020 | 0.037 | 0.021 | 0.026 |","| HardNet | 0.658 | 0.479 | 0.303 |\n| --- | --- | --- | --- |\n| SKAR-EgoSeg | 0.495 | 0.226 | 0.102 |\n| SKAR-EgoSeg* | 0.507 | 0.251 | 0.123 |\n| SKAR-HPatches | 0.677 | 0.494 | 0.313 |\n| SKAR-HPatches* | 0.695 | 0.525 | 0.342 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 |\n| s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 |\n| s3-f11<br>(unsat) | t<br>n | 9,6<br>1078 | 41,4<br>18728 | 9,9<br>861 | 36,2<br>17211 | >1h<br>– | >1h<br>– | >1h<br>– | 5,3<br>641 | 47,5<br>18862 | 10,4<br>889 |\n| g8-f10<br>(sat) | t<br>n | 15<br>4193 | 72,5<br>26535 | 45,2<br>6018 | 62,4<br>22739 | >1h<br>– | >1h<br>– | >1h<br>– | 21,3<br>6877 | 76,5<br>27781 | 14,4<br>3887 |\n| g8-f11<br>(unsat) | t<br>n | 7<br>1450 | 62,7<br>24244 | 10,5<br>940 | 54,2<br>23348 | >1h<br>– | >1h<br>– | >1h<br>– | 1,6<br>224 | 60,3<br>23878 | 1,7<br>455 |\n| g14-f27<br>(sat) | t<br>n | 18,8<br>12251 | 48,4<br>28337 | 82,5<br>13106 | 49,1<br>27785 | 53,9<br>6284 | 216,7<br>6284 | 217,1<br>6284 | 28,8<br>18143 | 48,3<br>28019 | 70,1<br>40211 |\n| g14-f28<br>(unsat) | t<br>n | 75,3<br>33556 | 43,3<br>22303 | 18,2<br>1459 | 37,2<br>19544 | >1h<br>– | >1h<br>– | >1h<br>– | 0,4<br>99 | 60,5<br>29928 | 57,3<br>30239 |\n| s11<br>(sat) | t<br>n | 5,5<br>1024 | 118,1<br>35097 | 141,2<br>959 | 157,5<br>29391 | 29,3<br>834 | 210,6<br>833 | 224,8<br>833 | 4<br>947 | 120,5<br>35788 | 56,2<br>1540 |\n| s11-f12<br>(unsat) | t<br>n | 6,6<br>1102 | 56,2<br>24158 | 4,8<br>981 | 51,5<br>22893 | 22,4<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>566 | 54,1<br>23661 | 3,9<br>989 |\n| s11-f11<br>(unsat) | t<br>n | 6,8<br>1102 | 55,6<br>23555 | 4,7<br>981 | 51,1<br>22751 | 22,1<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>522 | 53,4<br>23101 | 3,8<br>989 |\n| s11-f10<br>(unsat) | t<br>n | 3,5<br>490 | 56,7<br>23131 | 4,8<br>498 | 52,4<br>22891 | >1h<br>– | >1h<br>– | >1h<br>– | 4,5<br>556 | 58,2<br>23664 | 3,3<br>376 |\n| s11-f9<br>(unsat) | t<br>n | 14,3<br>1412 | 71,7<br>24261 | 18,1<br>1384 | 65,6<br>23441 | >1h<br>– | >1h<br>– | >1h<br>– | 16,4<br>1906 | 72,4<br>24547 | 18,9<br>1753 |\n| s11-f8<br>(unsat) | t<br>n | 21,2<br>2112 | 87,1<br>28083 | 44,7<br>2897 | 79,6<br>24892 | >1h<br>– | >1h<br>– | >1h<br>– | 26,3<br>2526 | 89,1<br>27867 | 40,1<br>3192 |\n| s11-f7<br>(unsat) | t<br>n | 133,7<br>12777 | 189,9<br>39469 | 211,2<br>20154 | 201,6<br>42345 | >1h<br>– | >1h<br>– | >1h<br>– | 130,6<br>13205 | 191,4<br>39557 | 166,8<br>14886 |","| s11-f6<br>(unsat) | t<br>n | 391,4<br>34714 | 402,9<br>61523 | 412,7<br>40892 | 416,8<br>62557 | >1h<br>– | >1h<br>– | >1h<br>– | 307,6<br>27949 | 488,4<br>63447 | 465,2<br>37954 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Averagedcputime | t | 47,9 | 91,5 | 68,8 | 91,5 | – | – | – | 37,7 | 99,1 | 61,8 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 |\n| s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 |\n| s3-f11<br>(unsat) | t<br>n | 9,6<br>1078 | 41,4<br>18728 | 9,9<br>861 | 36,2<br>17211 | >1h<br>– | >1h<br>– | >1h<br>– | 5,3<br>641 | 47,5<br>18862 | 10,4<br>889 |\n| g8-f10<br>(sat) | t<br>n | 15<br>4193 | 72,5<br>26535 | 45,2<br>6018 | 62,4<br>22739 | >1h<br>– | >1h<br>– | >1h<br>– | 21,3<br>6877 | 76,5<br>27781 | 14,4<br>3887 |\n| g8-f11<br>(unsat) | t<br>n | 7<br>1450 | 62,7<br>24244 | 10,5<br>940 | 54,2<br>23348 | >1h<br>– | >1h<br>– | >1h<br>– | 1,6<br>224 | 60,3<br>23878 | 1,7<br>455 |\n| g14-f27<br>(sat) | t<br>n | 18,8<br>12251 | 48,4<br>28337 | 82,5<br>13106 | 49,1<br>27785 | 53,9<br>6284 | 216,7<br>6284 | 217,1<br>6284 | 28,8<br>18143 | 48,3<br>28019 | 70,1<br>40211 |\n| g14-f28<br>(unsat) | t<br>n | 75,3<br>33556 | 43,3<br>22303 | 18,2<br>1459 | 37,2<br>19544 | >1h<br>– | >1h<br>– | >1h<br>– | 0,4<br>99 | 60,5<br>29928 | 57,3<br>30239 |\n| s11<br>(sat) | t<br>n | 5,5<br>1024 | 118,1<br>35097 | 141,2<br>959 | 157,5<br>29391 | 29,3<br>834 | 210,6<br>833 | 224,8<br>833 | 4<br>947 | 120,5<br>35788 | 56,2<br>1540 |\n| s11-f12<br>(unsat) | t<br>n | 6,6<br>1102 | 56,2<br>24158 | 4,8<br>981 | 51,5<br>22893 | 22,4<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>566 | 54,1<br>23661 | 3,9<br>989 |\n| s11-f11<br>(unsat) | t<br>n | 6,8<br>1102 | 55,6<br>23555 | 4,7<br>981 | 51,1<br>22751 | 22,1<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>522 | 53,4<br>23101 | 3,8<br>989 |\n| s11-f10<br>(unsat) | t<br>n | 3,5<br>490 | 56,7<br>23131 | 4,8<br>498 | 52,4<br>22891 | >1h<br>– | >1h<br>– | >1h<br>– | 4,5<br>556 | 58,2<br>23664 | 3,3<br>376 |\n| s11-f9<br>(unsat) | t<br>n | 14,3<br>1412 | 71,7<br>24261 | 18,1<br>1384 | 65,6<br>23441 | >1h<br>– | >1h<br>– | >1h<br>– | 16,4<br>1906 | 72,4<br>24547 | 18,9<br>1753 |\n| s11-f8<br>(unsat) | t<br>n | 21,2<br>2112 | 87,1<br>28083 | 44,7<br>2897 | 79,6<br>24892 | >1h<br>– | >1h<br>– | >1h<br>– | 26,3<br>2526 | 89,1<br>27867 | 40,1<br>3192 |\n| s11-f7<br>(unsat) | t<br>n | 133,7<br>12777 | 189,9<br>39469 | 211,2<br>20154 | 201,6<br>42345 | >1h<br>– | >1h<br>– | >1h<br>– | 130,6<br>13205 | 191,4<br>39557 | 166,8<br>14886 |","| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |\n| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 |\n| s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 |","| s3-f11<br>(unsat) | t<br>n | 9,6<br>1078 | 41,4<br>18728 | 9,9<br>861 | 36,2<br>17211 | >1h<br>– | >1h<br>– | >1h<br>– | 5,3<br>641 | 47,5<br>18862 | 10,4<br>889 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| g8-f10<br>(sat) | t<br>n | 15<br>4193 | 72,5<br>26535 | 45,2<br>6018 | 62,4<br>22739 | >1h<br>– | >1h<br>– | >1h<br>– | 21,3<br>6877 | 76,5<br>27781 | 14,4<br>3887 |\n| g8-f11<br>(unsat) | t<br>n | 7<br>1450 | 62,7<br>24244 | 10,5<br>940 | 54,2<br>23348 | >1h<br>– | >1h<br>– | >1h<br>– | 1,6<br>224 | 60,3<br>23878 | 1,7<br>455 |\n| g14-f27<br>(sat) | t<br>n | 18,8<br>12251 | 48,4<br>28337 | 82,5<br>13106 | 49,1<br>27785 | 53,9<br>6284 | 216,7<br>6284 | 217,1<br>6284 | 28,8<br>18143 | 48,3<br>28019 | 70,1<br>40211 |\n| g14-f28<br>(unsat) | t<br>n | 75,3<br>33556 | 43,3<br>22303 | 18,2<br>1459 | 37,2<br>19544 | >1h<br>– | >1h<br>– | >1h<br>– | 0,4<br>99 | 60,5<br>29928 | 57,3<br>30239 |\n| s11<br>(sat) | t<br>n | 5,5<br>1024 | 118,1<br>35097 | 141,2<br>959 | 157,5<br>29391 | 29,3<br>834 | 210,6<br>833 | 224,8<br>833 | 4<br>947 | 120,5<br>35788 | 56,2<br>1540 |\n| s11-f12<br>(unsat) | t<br>n | 6,6<br>1102 | 56,2<br>24158 | 4,8<br>981 | 51,5<br>22893 | 22,4<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>566 | 54,1<br>23661 | 3,9<br>989 |\n| s11-f11<br>(unsat) | t<br>n | 6,8<br>1102 | 55,6<br>23555 | 4,7<br>981 | 51,1<br>22751 | 22,1<br>421 | 25,7<br>421 | 25,8<br>421 | 3,7<br>522 | 53,4<br>23101 | 3,8<br>989 |\n| s11-f10<br>(unsat) | t<br>n | 3,5<br>490 | 56,7<br>23131 | 4,8<br>498 | 52,4<br>22891 | >1h<br>– | >1h<br>– | >1h<br>– | 4,5<br>556 | 58,2<br>23664 | 3,3<br>376 |\n| s11-f9<br>(unsat) | t<br>n | 14,3<br>1412 | 71,7<br>24261 | 18,1<br>1384 | 65,6<br>23441 | >1h<br>– | >1h<br>– | >1h<br>– | 16,4<br>1906 | 72,4<br>24547 | 18,9<br>1753 |\n| s11-f8<br>(unsat) | t<br>n | 21,2<br>2112 | 87,1<br>28083 | 44,7<br>2897 | 79,6<br>24892 | >1h<br>– | >1h<br>– | >1h<br>– | 26,3<br>2526 | 89,1<br>27867 | 40,1<br>3192 |\n| s11-f7<br>(unsat) | t<br>n | 133,7<br>12777 | 189,9<br>39469 | 211,2<br>20154 | 201,6<br>42345 | >1h<br>– | >1h<br>– | >1h<br>– | 130,6<br>13205 | 191,4<br>39557 | 166,8<br>14886 |\n| s11-f6<br>(unsat) | t<br>n | 391,4<br>34714 | 402,9<br>61523 | 412,7<br>40892 | 416,8<br>62557 | >1h<br>– | >1h<br>– | >1h<br>– | 307,6<br>27949 | 488,4<br>63447 | 465,2<br>37954 |\n| Averagedcputime | t | 47,9 | 91,5 | 68,8 | 91,5 | – | – | – | 37,7 | 99,1 | 61,8 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | d/wdeg<br>r.probe<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel | alldel<br>r.probe | alldel<br>RSC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s2-f25<br>(unsat) | t<br>n | 7,4<br>1195 | 29,2<br>16317 | 14,2<br>2651 | 23,6<br>14548 | 14,2<br>2088 | 19,5<br>2091 | 19,5<br>2091 | 9,3<br>1689 | 28,5<br>16231 | 9,8<br>1579 |\n| s3-f10<br>(sat) | t<br>n | 2,2<br>724 | 36,5<br>18119 | 10,2<br>728 | 33,7<br>17781 | >1h<br>– | >1h<br>– | >1h<br>– | 2,3<br>900 | 38,7<br>18312 | 5,5<br>941 |","| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 |\n| Locations | 1 | 2 | 3 |  |  |  |\n| HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |\n| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |\n| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |\n| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |\n| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |","| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 |\n| SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 |\n| Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 |",1]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 |\n| Locations | 1 | 2 | 3 |  |  |  |\n| HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |\n| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |\n| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |\n| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |\n| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |","| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 |\n| Locations | 1 | 2 | 3 |  |  |  |\n| HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |\n| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |\n| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |\n| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |\n| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |","| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 |\n| SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 |\n| Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 |",1]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 |\n| Locations | 1 | 2 | 3 |  |  |  |\n| HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |\n| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |\n| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |\n| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |\n| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |","| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |","| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",1]
["| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |","| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |\n| 0.968 | 0.970 | 0.970 | 0.968 |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |","| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",1]
["| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |","| 0.846 | 0.851 | 0.852 | 0.853 |\n| --- | --- | --- | --- |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |\n| Mediannumberofwords | 54 |","| Mediansentencelength | 51characters |\n| --- | --- |\n| MedianNbrofwordsinsentence | 8 |",1]
["| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |\n| Mediannumberofwords | 54 |","| Totalnumberofdialogues | 1092 |\n| --- | --- |\n| Totalnumberofutterances | 10114 |\n| Totalnumberofwords | 33477 |\n| Totalnumberofsemanticunits | 14584 |\n| Diﬀerentclassesofsemanticunits | 38 |",0]
["| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |","| Mediannumberofwords | 54 |\n| --- | --- |\n| Mediansentencelength | 51characters |\n| MedianNbrofwordsinsentence | 8 |",1]
["| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |","| Totalnumberofsemanticunits | 14584 |\n| --- | --- |\n| Diﬀerentclassesofsemanticunits | 38 |",0]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 05agents,randompaths | 0.5506 |\n| 10agents,randompaths | 0.5080 |\n| 15agents,randompaths | 0.5033 |","| 05agents,tightgoals,nodiversiﬁcation | 0.5462 |\n| --- | --- |\n| 10agents,tightgoals,nodiversiﬁcation | 0.4970 |\n| 15agents,tightgoals,nodiversiﬁcation | 0.5001 |\n| 05agents,loosegoals,nodiversiﬁcation | 0.5487 |\n| 10agents,loosegoals,nodiversiﬁcation | 0.5120 |\n| 15agents,loosegoals,nodiversiﬁcation | 0.4619 |\n| 05agents,loosegoals,diversiﬁcation | 0.5372 |\n| 10agents,loosegoals,diversiﬁcation | 0.5210 |\n| 15agents,loosegoals,diversiﬁcation | 0.4901 |",1]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 05agents,randompaths | 0.5506 |\n| 10agents,randompaths | 0.5080 |\n| 15agents,randompaths | 0.5033 |","| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 10agents,randompaths | 0.2573 |\n| 20agents,randompaths | 0.2428 |\n| 30agents,randompaths | 0.2423 |\n| 10agents,tightgoals,nodiversiﬁcation | 0.3774 |\n| 20agents,tightgoals,nodiversiﬁcation | 0.2858 |\n| 30agents,tightgoals,nodiversiﬁcation | 0.4390 |\n| 10agents,loosegoals,nodiversiﬁcation | 0.3508 |\n| 20agents,loosegoals,nodiversiﬁcation | 0.3328 |\n| 30agents,loosegoals,nodiversiﬁcation | 0.2436 |\n| 10agents,loosegoals,diversiﬁcation | 0.3254 |\n| 20agents,loosegoals,diversiﬁcation | 0.2949 |\n| 30agents,loosegoals,diversiﬁcation | 0.3026 |",0]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 05agents,randompaths | 0.5506 |\n| 10agents,randompaths | 0.5080 |","| 15agents,randompaths | 0.5033 |\n| --- | --- |\n| 05agents,tightgoals,nodiversiﬁcation | 0.5462 |\n| 10agents,tightgoals,nodiversiﬁcation | 0.4970 |\n| 15agents,tightgoals,nodiversiﬁcation | 0.5001 |\n| 05agents,loosegoals,nodiversiﬁcation | 0.5487 |\n| 10agents,loosegoals,nodiversiﬁcation | 0.5120 |\n| 15agents,loosegoals,nodiversiﬁcation | 0.4619 |\n| 05agents,loosegoals,diversiﬁcation | 0.5372 |\n| 10agents,loosegoals,diversiﬁcation | 0.5210 |\n| 15agents,loosegoals,diversiﬁcation | 0.4901 |",1]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 05agents,randompaths | 0.5506 |\n| 10agents,randompaths | 0.5080 |","| 10agents,loosegoals,diversiﬁcation | 0.3254 |\n| --- | --- |\n| 20agents,loosegoals,diversiﬁcation | 0.2949 |\n| 30agents,loosegoals,diversiﬁcation | 0.3026 |",0]
["| InputData | Value(Min-Max) |\n| --- | --- |\n| Workloadtraceduration(t) | (4-4) |\n| RangeofCPUvaluesforresources | (4-10) |","| RangeofMemoryvaluesforresources | (2-16) |\n| --- | --- |\n| RangeofNetworkvaluesforresources | (100-1000) |\n| RangeofCPUvaluesforutilization | (2-10) |\n| RangeofMemoryvaluesforutilization | (1-16) |\n| RangeofNetworkvaluesforutilization | (0-1000) |\n| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |\n| RangeofSLAvaluesofVMs | (0-2) |\n| RangeofnumberofVMsforcloudservices | (1-6) |\n| Numberofcloudservices | (1-1) |\n| Probabilitydistribution | Random |",1]
["| InputData | Value(Min-Max) |\n| --- | --- |\n| Workloadtraceduration(t) | (4-4) |\n| RangeofCPUvaluesforresources | (4-10) |","| DeviceSpeciﬁcations | ValueUnit | Example |\n| --- | --- | --- |\n| accountaddress | string | 0xc968efa8019d(hashvalue) |\n| networkport | int | 42024 |\n| input/outputdata | string | video,audio,text |\n| bandwidthrequest | double | [minValue,maxValue] |\n| CPUrequest | double | [minValue,maxValue] |\n| memoryrequest | double | [minValue,maxValue] |\n| storagerequest | double | [minValue,maxValue] |\n| MACaddress | string | 00-14-22-01-23-45 |\n| priority* | int | 1/2/3/4 |\n| coinbalance* | double | 200.00 |\n| credit* | int | 100 |\n| isBlocked* | bool | false |\n| isRegistered* | bool | false |\n| lastrequestid* | string | 0xcf30613db6a84(hashvalue) |",0]
["| InputData | Value(Min-Max) |\n| --- | --- |\n| Workloadtraceduration(t) | (4-4) |\n| RangeofCPUvaluesforresources | (4-10) |\n| RangeofMemoryvaluesforresources | (2-16) |\n| RangeofNetworkvaluesforresources | (100-1000) |\n| RangeofCPUvaluesforutilization | (2-10) |\n| RangeofMemoryvaluesforutilization | (1-16) |\n| RangeofNetworkvaluesforutilization | (0-1000) |\n| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |\n| RangeofSLAvaluesofVMs | (0-2) |","| RangeofnumberofVMsforcloudservices | (1-6) |\n| --- | --- |\n| Numberofcloudservices | (1-1) |\n| Probabilitydistribution | Random |",1]
["| InputData | Value(Min-Max) |\n| --- | --- |\n| Workloadtraceduration(t) | (4-4) |\n| RangeofCPUvaluesforresources | (4-10) |\n| RangeofMemoryvaluesforresources | (2-16) |\n| RangeofNetworkvaluesforresources | (100-1000) |\n| RangeofCPUvaluesforutilization | (2-10) |\n| RangeofMemoryvaluesforutilization | (1-16) |\n| RangeofNetworkvaluesforutilization | (0-1000) |\n| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |\n| RangeofSLAvaluesofVMs | (0-2) |","| coinbalance* | double | 200.00 |\n| --- | --- | --- |\n| credit* | int | 100 |\n| isBlocked* | bool | false |\n| isRegistered* | bool | false |\n| lastrequestid* | string | 0xcf30613db6a84(hashvalue) |",0]
["| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG |\n| --- | --- | --- | --- | --- | --- | --- |\n| meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 |\n| edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 |","| edgeLBP-Run2(B.distance) | 0.87 | 0.87 | 0.99 | 0.82 | 0.17 | 0.81 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SpinImages(B.distance) | 0.58 | 0.55 | 0.70 | 0.67 | 0.16 | 0.65 |\n| SHOT(χdistance) | 0.23 | 0.21 | 0.23 | 0.34 | 0.09 | 0.31 |\n| FPFH(EMDdistance) | 0.23 | 0.23 | 0.32 | 0.43 | 0.1 | 0.39 |",1]
["| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG |\n| --- | --- | --- | --- | --- | --- | --- |\n| meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 |\n| edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 |","| N | 1 | 2 | 5 | 10 | 20 | 100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) |\n| Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) |\n| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |\n| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |",0]
["| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG |\n| --- | --- | --- | --- | --- | --- | --- |\n| meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 |\n| edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 |\n| edgeLBP-Run2(B.distance) | 0.87 | 0.87 | 0.99 | 0.82 | 0.17 | 0.81 |","| SpinImages(B.distance) | 0.58 | 0.55 | 0.70 | 0.67 | 0.16 | 0.65 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SHOT(χdistance) | 0.23 | 0.21 | 0.23 | 0.34 | 0.09 | 0.31 |\n| FPFH(EMDdistance) | 0.23 | 0.23 | 0.32 | 0.43 | 0.1 | 0.39 |",1]
["| Method | NN | 1-Tier | 2-Tier | mAP | e | DCG |\n| --- | --- | --- | --- | --- | --- | --- |\n| meshLBP(B.distance) | 0.77 | 0.74 | 0.86 | 0.73 | 0.17 | 0.71 |\n| edgeLBP-Run1(B.distance) | 0.87 | 0.82 | 0.99 | 0.82 | 0.17 | 0.80 |\n| edgeLBP-Run2(B.distance) | 0.87 | 0.87 | 0.99 | 0.82 | 0.17 | 0.81 |","| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |",0]
["|  | NSL-KDD | UNSW-NB15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ACC | PPV | TPR | ACC | PPV | TPR |  |\n| DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 |\n| K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |","| KNeighboursClassiﬁer | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LogisticRegression | 89.52 | 62.04 | 73.79 | 92.52 | 71.05 | 62.61 |\n| MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 |\n| GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 |\n| MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 |\n| BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 |\n| RandomForestClassiﬁer | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 |\n| SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 |\n| OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |",1]
["|  | NSL-KDD | UNSW-NB15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ACC | PPV | TPR | ACC | PPV | TPR |  |\n| DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 |\n| K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |","|  | Performance | RocAuc | F1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | mean | std | mean | std | mean | std |\n| LogisticRegression | 0.7500 | 0.2738 | 0.7000 | 0.4153 | 0.6166 | 0.4349 |\n| LDA | 0.6750 | 0.2968 | 0.7000 | 0.4153 | 0.6066 | 0.4103 |\n| SVC | 0.6500 | 0.3000 | 0.7000 | 0.4153 | 0.5766 | 0.4060 |\n| GaussianNB | 0.6500 | 0.3000 | 0.6750 | 0.4038 | 0.5766 | 0.4060 |\n| DecisionTreeClassiﬁer | 0.5500 | 0.2915 | 0.5250 | 0.2610 | 0.5533 | 0.3357 |\n| GradientBoostingClassiﬁer | 0.5750 | 0.2750 | 0.6375 | 0.2589 | 0.5266 | 0.3362 |\n| BaggingClassiﬁer | 0.5750 | 0.1600 | 0.5875 | 0.2907 | 0.5066 | 0.2950 |\n| KNeighborsClassiﬁer | 0.5500 | 0.1500 | 0.5500 | 0.1500 | 0.4300 | 0.2956 |\n| RandomForestClassiﬁer | 0.5000 | 0.2500 | 0.6000 | 0.3570 | 0.4833 | 0.2833 |",0]
["|  | NSL-KDD | UNSW-NB15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ACC | PPV | TPR | ACC | PPV | TPR |  |\n| DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 |\n| K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |\n| KNeighboursClassiﬁer | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |","| LogisticRegression | 89.52 | 62.04 | 73.79 | 92.52 | 71.05 | 62.61 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 |\n| GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 |\n| MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 |\n| BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 |\n| RandomForestClassiﬁer | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 |\n| SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 |\n| OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |",1]
["|  | NSL-KDD | UNSW-NB15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ACC | PPV | TPR | ACC | PPV | TPR |  |\n| DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 |\n| K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |\n| KNeighboursClassiﬁer | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |","| LDA | 0.6750 | 0.2968 | 0.7000 | 0.4153 | 0.6066 | 0.4103 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SVC | 0.6500 | 0.3000 | 0.7000 | 0.4153 | 0.5766 | 0.4060 |\n| GaussianNB | 0.6500 | 0.3000 | 0.6750 | 0.4038 | 0.5766 | 0.4060 |\n| DecisionTreeClassiﬁer | 0.5500 | 0.2915 | 0.5250 | 0.2610 | 0.5533 | 0.3357 |\n| GradientBoostingClassiﬁer | 0.5750 | 0.2750 | 0.6375 | 0.2589 | 0.5266 | 0.3362 |\n| BaggingClassiﬁer | 0.5750 | 0.1600 | 0.5875 | 0.2907 | 0.5066 | 0.2950 |\n| KNeighborsClassiﬁer | 0.5500 | 0.1500 | 0.5500 | 0.1500 | 0.4300 | 0.2956 |\n| RandomForestClassiﬁer | 0.5000 | 0.2500 | 0.6000 | 0.3570 | 0.4833 | 0.2833 |",0]
["| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 |","| LBL+Lazy | γ=1<br>γ=0.1<br>γ=0.01 | –0.4<br>0.7<br>0.7 | 4.2<br>8.1<br>9.5 | 0.6<br>0.4<br>1.7 | –0.1<br>–1.4<br>2.6 | 0.6<br>0.7<br>1.9 | 1.2<br>0.8<br>0.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LBL+Periodic | k=100M<br>k=50M<br>k=25M | 3.8<br>3.4<br>0.5 | 18.4<br>19.5<br>18.1 | 3.6<br>4.4<br>2.7 | 12.0<br>18.6<br>21.3 | 4.8<br>0.6<br>–3.7 | 1.3<br>1.9<br>0.8 |\n| LBL+Retroﬁtting | – | 5.7 | 15.6 | 5.5 | 18.6 | 14.7 | 0.9 |",1]
["| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 |","| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 |\n| LBL+Lazy | γ=1<br>γ=0.1<br>γ=0.01 | –0.4<br>0.7<br>0.7 | 4.2<br>8.1<br>9.5 | 0.6<br>0.4<br>1.7 | –0.1<br>–1.4<br>2.6 | 0.6<br>0.7<br>1.9 | 1.2<br>0.8<br>0.4 |","| LBL+Periodic | k=100M<br>k=50M<br>k=25M | 3.8<br>3.4<br>0.5 | 18.4<br>19.5<br>18.1 | 3.6<br>4.4<br>2.7 | 12.0<br>18.6<br>21.3 | 4.8<br>0.6<br>–3.7 | 1.3<br>1.9<br>0.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LBL+Retroﬁtting | – | 5.7 | 15.6 | 5.5 | 18.6 | 14.7 | 0.9 |",1]
["| Method | k,γ | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LBL(Baseline) | k=∞,γ=0 | 58.0 | 42.7 | 53.6 | 66.7 | 31.5 | 72.5 |\n| LBL+Lazy | γ=1<br>γ=0.1<br>γ=0.01 | –0.4<br>0.7<br>0.7 | 4.2<br>8.1<br>9.5 | 0.6<br>0.4<br>1.7 | –0.1<br>–1.4<br>2.6 | 0.6<br>0.7<br>1.9 | 1.2<br>0.8<br>0.4 |","| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["| Operation | Mean | Max | 99pct. | Stdev. |\n| --- | --- | --- | --- | --- |\n| Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |","| Imagepre-processing | 2.77 | 2.90 | 2.87 | 0.04 |\n| --- | --- | --- | --- | --- |\n| CNNinferencing | 18.49 | 19.30 | 18.99 | 0.20 |\n| TotalTime | 22.86 | 23.74 | 23.38 | 0.20 |",1]
["| Operation | Mean | Max | 99pct. | Stdev. |\n| --- | --- | --- | --- | --- |\n| Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |","|  | facedetection | eyedetection | Time(s) |\n| --- | --- | --- | --- |\n| Originalimage | 0.297 | 0.58 | NULL |\n| Lowrank+sparsity | 0.375 | 0.70 | 10 |\n| Multiscalelowrank | 0.359 | 1.00 | 4472 |\n| IBTSVT | 0.844 | 1.00 | 715 |",0]
["| Operation | Mean | Max | 99pct. | Stdev. |\n| --- | --- | --- | --- | --- |\n| Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |","| Imagepre-processing | 2.77 | 2.90 | 2.87 | 0.04 |\n| --- | --- | --- | --- | --- |\n| CNNinferencing | 18.49 | 19.30 | 18.99 | 0.20 |\n| TotalTime | 22.86 | 23.74 | 23.38 | 0.20 |",1]
["| Operation | Mean | Max | 99pct. | Stdev. |\n| --- | --- | --- | --- | --- |\n| Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |","| Lowrank+sparsity | 0.375 | 0.70 | 10 |\n| --- | --- | --- | --- |\n| Multiscalelowrank | 0.359 | 1.00 | 4472 |\n| IBTSVT | 0.844 | 1.00 | 715 |",0]
["| u | auser |\n| --- | --- |\n| i | asocialmediaitem |\n| Iu | thesetofu’ssocialmediaitems |\n| c | aconcept |","| C | thesetofconcepts |\n| --- | --- |\n| d | acandidateitem(scientiﬁcpublication) |\n| D | thesetofcandidateitems |\n| t,tid | thetimestampofiandd,respectively |\n| Pu | u’suserproﬁle |\n| Pd | d’sdocumentproﬁle |\n| Φ | aproﬁlingfunction |\n| w | aweightingfunction(notconsideringtemporaldecay) |\n| f | adecayfunction |\n| w | aweightingfunctionthatextendswwithtemporaldecay |\n| σ | asimilarityfunction |",1]
["| u | auser |\n| --- | --- |\n| i | asocialmediaitem |\n| Iu | thesetofu’ssocialmediaitems |\n| c | aconcept |","| Notation | Deﬁnition |\n| --- | --- |\n| T<br>(p) | Timecomplexityofamultiplication |\n| T<br>(p) | Timecomplexityofanaddition |\n| T<br>(p) | Timecomplexityofanexponentiation |\n| T<br>(p) | Timecomplexityofaninversion |\n| T<br>(p) | Timecomplexityofanellipticcurvescalarmultiplication |\n| T<br>(p) | Timecomplexityofanellipticcurvepointsaddition |",0]
["| u | auser |\n| --- | --- |\n| i | asocialmediaitem |\n| Iu | thesetofu’ssocialmediaitems |\n| c | aconcept |\n| C | thesetofconcepts |\n| d | acandidateitem(scientiﬁcpublication) |\n| D | thesetofcandidateitems |\n| t,tid | thetimestampofiandd,respectively |\n| Pu | u’suserproﬁle |\n| Pd | d’sdocumentproﬁle |\n| Φ | aproﬁlingfunction |\n| w | aweightingfunction(notconsideringtemporaldecay) |","| f | adecayfunction |\n| --- | --- |\n| w | aweightingfunctionthatextendswwithtemporaldecay |\n| σ | asimilarityfunction |",1]
["| u | auser |\n| --- | --- |\n| i | asocialmediaitem |\n| Iu | thesetofu’ssocialmediaitems |\n| c | aconcept |\n| C | thesetofconcepts |\n| d | acandidateitem(scientiﬁcpublication) |\n| D | thesetofcandidateitems |\n| t,tid | thetimestampofiandd,respectively |\n| Pu | u’suserproﬁle |\n| Pd | d’sdocumentproﬁle |\n| Φ | aproﬁlingfunction |\n| w | aweightingfunction(notconsideringtemporaldecay) |","| T<br>(p) | Timecomplexityofanellipticcurvescalarmultiplication |\n| --- | --- |\n| T<br>(p) | Timecomplexityofanellipticcurvepointsaddition |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 |\n| Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |","| Cheminot | RIV<br>Cu | 0.273<br>0.844 | 0.165<br>0.848 | 0.147<br>0.808 | 0.060<br>0.932 | 0.203<br>0.829 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Cropland | RIV<br>Cu | 0.046<br>0.337 | 0.037<br>0.412 | 0.038<br>0.415 | 0.028<br>0.426 | 0.048<br>0.423 |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 |\n| Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |","| CIFAR-10 | NUS-WIDE |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits |\n| 0.162<br>0.131<br>0.121<br>0.138 | 0.169<br>0.135<br>0.126<br>0.141 | 0.172<br>0.133<br>0.120<br>0.146 | 0.175<br>0.130<br>0.120<br>0.150 | 0.452<br>0.433<br>0.403<br>0.413 | 0.468<br>0.426<br>0.421<br>0.413 | 0.472<br>0.426<br>0.426<br>0.424 | 0.477<br>0.423<br>0.441<br>0.431 | 0.544<br>0.531<br>0.499<br>0.569 |\n| 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 |\n| 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 |\n| Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |","| Cheminot | RIV<br>Cu | 0.273<br>0.844 | 0.165<br>0.848 | 0.147<br>0.808 | 0.060<br>0.932 | 0.203<br>0.829 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Cropland | RIV<br>Cu | 0.046<br>0.337 | 0.037<br>0.412 | 0.038<br>0.415 | 0.028<br>0.426 | 0.048<br>0.423 |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Vancouver | RIV<br>Cu | 0.273<br>0.304 | 0.198<br>0.236 | 0.179<br>0.284 | 0.195<br>0.281 | 0.179<br>0.314 |\n| Bayard | RIV<br>Cu | 0.273<br>0.770 | 0.178<br>0.744 | 0.157<br>0.736 | 0.073<br>0.838 | 0.203<br>0.750 |","| 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |\n|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |","| Dropout(0.5) |\n| --- |\n| fully-connected(1024) |\n| fully-connected(10) |\n| SoftMax |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |\n|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |","| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |\n|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |","|  |  |  | conv(24,32) | conv(24,32)<br>maxpool(2) | conv(24,32)<br>maxpool(2) |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  | conv(32,40) | conv(32,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(10) |  |  |  |  |  |\n| SoftMax |  |  |  |  |  |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) | conv(1,8)<br>maxpool(2) |\n|  | conv(8,16) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) | conv(8,16)<br>maxpool(2) |\n|  |  | conv(16,24) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) | conv(16,24)<br>maxpool(2) |","| fully-connected(4) |\n| --- |\n| Normalize |",0]
["| Dataset | #Images | #Subjects |\n| --- | --- | --- |\n| AWE | 1000 | 100 |","| AMI | 700 | 100 |\n| --- | --- | --- |\n| WPUT | 2071 | 501 |\n| IITD | 493 | 125 |\n| CP | 102 | 17 |\n| UERCTrain | 2304 | 166 |\n| Multi-PIEEar | 17183 | 205 |",1]
["| Dataset | #Images | #Subjects |\n| --- | --- | --- |\n| AWE | 1000 | 100 |","| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Dataset | #Images | #Subjects |\n| --- | --- | --- |\n| AWE | 1000 | 100 |\n| AMI | 700 | 100 |\n| WPUT | 2071 | 501 |\n| IITD | 493 | 125 |","| CP | 102 | 17 |\n| --- | --- | --- |\n| UERCTrain | 2304 | 166 |\n| Multi-PIEEar | 17183 | 205 |",1]
["| Dataset | #Images | #Subjects |\n| --- | --- | --- |\n| AWE | 1000 | 100 |\n| AMI | 700 | 100 |\n| WPUT | 2071 | 501 |\n| IITD | 493 | 125 |","| Thyroid | 215 | 3 | 5 |\n| --- | --- | --- | --- |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Algorithm | WAVGinK=1 |\n| --- | --- |\n| J48 | 0.65/569 |\n| NaiveBayes | 0.80/569 |","| PART | 0.69/569 |\n| --- | --- |\n| Logistic | 0.59/512 |",1]
["| Algorithm | WAVGinK=1 |\n| --- | --- |\n| J48 | 0.65/569 |\n| NaiveBayes | 0.80/569 |","| Model/Algorithm | MNIST | Caltech101 | US-CT |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | DC | mIoU | DC | mIoU | DC | mIoU |\n| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |\n| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |\n| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",0]
["| Algorithm | WAVGinK=1 |\n| --- | --- |\n| J48 | 0.65/569 |\n| NaiveBayes | 0.80/569 |","| PART | 0.69/569 |\n| --- | --- |\n| Logistic | 0.59/512 |",1]
["| Algorithm | WAVGinK=1 |\n| --- | --- |\n| J48 | 0.65/569 |\n| NaiveBayes | 0.80/569 |","| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",0]
["| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 |","| class | 1B | 5A | 3B | 5B | 2B | 2A | 3A | 4A | 1A | 4B |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| classsize(withoutteacher) | 25 | 22 | 22 | 24 | 26 | 22 | 23 | 21 | 23 | 23 |\n| teacherfound | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| missingnodes | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |",1]
["| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 |","| Class | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 88 | 85 | 91 | 90 | 91 | 100 | 100 | 95 | 83 | 83 | 71 | 70 | 96 | 75 |\n| 2. | 53 | 70 | 88 | 90 | 100 | 100 | 100 | 100 | 83 | 71 | 63 | 63 | 87 | 47 |\n| 3 | 29 | 75 | 91 | 90 | 75 | 100 | 100 | 100 | 50 | 46 | 55 | 44 | 96 | 32 |\n| Class | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 |  |\n| 1 | 71 | 84 | 70 | 95 | 95 | 85 | 76 | 90 | 80 | 70 | 77 | 100 | 80 |  |\n| 2 | 59 | 72 | 59 | 85 | 95 | 95 | 66 | 95 | 45 | 40 | 69 | 100 | 78 |  |\n| 3 | 49 | 75 | 49 | 55 | 90 | 90 | 69 | 95 | 15 | 50 | 72 | 100 | 83 |  |",0]
["| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 |\n| class | 1B | 5A | 3B | 5B | 2B | 2A | 3A | 4A | 1A | 4B |","| classsize(withoutteacher) | 25 | 22 | 22 | 24 | 26 | 22 | 23 | 21 | 23 | 23 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| teacherfound | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| missingnodes | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |",1]
["| component | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| componentsize | 26 | 22 | 23 | 25 | 27 | 23 | 24 | 22 | 24 | 24 |\n| class | 1B | 5A | 3B | 5B | 2B | 2A | 3A | 4A | 1A | 4B |","| 2 | 59 | 72 | 59 | 85 | 95 | 95 | 66 | 95 | 45 | 40 | 69 | 100 | 78 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 49 | 75 | 49 | 55 | 90 | 90 | 69 | 95 | 15 | 50 | 72 | 100 | 83 |  |",0]
["|  | Server-sideBenchmarks | Client-sideDrivingTool |\n| --- | --- | --- |\n| WebServer | Apachehttpd | Apacheab |","| DatabaseServer | MySQL | SysBench |\n| --- | --- | --- |\n| MailServer | Postﬁx | Postal |\n| FileServer | Sambasmbd | DBench |\n| StreamingServer | ﬀserver | openRTSP |\n| ApplicationServer | Tomcat | Apacheab |\n| ComputeServer | libsvm | a1a.t |\n| IdleServer | - | - |",1]
["|  | Server-sideBenchmarks | Client-sideDrivingTool |\n| --- | --- | --- |\n| WebServer | Apachehttpd | Apacheab |","| AC | AuthenticatedModule |\n| --- | --- |\n| AIK | AttestationIdentityKey |\n| CA | CertiﬁcateAuthority |\n| DRTM | DynamicRootofTrustforMeasurement |\n| MITM | Man-in-the-Middle |\n| MLE | MeasuredLaunchEnvironment |\n| PAL | ProgramApplicationLogic |\n| PCR | PlatformConﬁgurationRegister |\n| SKINIT | SecureKernelInit |\n| SLB | SecureLoaderBlock |\n| SML | StoredMeasurementLog |\n| SRK | StorageRootKey |\n| TCB | TrustedComputingBase |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",0]
["|  | Server-sideBenchmarks | Client-sideDrivingTool |\n| --- | --- | --- |\n| WebServer | Apachehttpd | Apacheab |\n| DatabaseServer | MySQL | SysBench |\n| MailServer | Postﬁx | Postal |","| FileServer | Sambasmbd | DBench |\n| --- | --- | --- |\n| StreamingServer | ﬀserver | openRTSP |\n| ApplicationServer | Tomcat | Apacheab |\n| ComputeServer | libsvm | a1a.t |\n| IdleServer | - | - |",1]
["|  | Server-sideBenchmarks | Client-sideDrivingTool |\n| --- | --- | --- |\n| WebServer | Apachehttpd | Apacheab |\n| DatabaseServer | MySQL | SysBench |\n| MailServer | Postﬁx | Postal |","| SLB | SecureLoaderBlock |\n| --- | --- |\n| SML | StoredMeasurementLog |\n| SRK | StorageRootKey |\n| TCB | TrustedComputingBase |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",0]
["|  | DurationperFile | TagsperFile |  |  |\n| --- | --- | --- | --- | --- |\n|  | Mean | Median | Mean | Median |\n| ANPs(complete) | 112.84 | 14.77 | 21.84 | 19 |","| ANPs(ﬁltered) | 107.8 | 14.75 | 21.21 | 18 |\n| --- | --- | --- | --- | --- |\n| VNPs(complete) | 70.88 | 8.91 | 15.48 | 12 |\n| VNPs(ﬁltered) | 58.72 | 7.87 | 14.59 | 11 |",1]
["|  | DurationperFile | TagsperFile |  |  |\n| --- | --- | --- | --- | --- |\n|  | Mean | Median | Mean | Median |\n| ANPs(complete) | 112.84 | 14.77 | 21.84 | 19 |","|  | AFLWDataset(21pts) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | [0,30] | (30,60] | (60,90] | mean | std |\n| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |\n| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |\n| VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |\n| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |",0]
["|  | DurationperFile | TagsperFile |  |  |\n| --- | --- | --- | --- | --- |\n|  | Mean | Median | Mean | Median |","| ANPs(complete) | 112.84 | 14.77 | 21.84 | 19 |\n| --- | --- | --- | --- | --- |\n| ANPs(ﬁltered) | 107.8 | 14.75 | 21.21 | 18 |\n| VNPs(complete) | 70.88 | 8.91 | 15.48 | 12 |\n| VNPs(ﬁltered) | 58.72 | 7.87 | 14.59 | 11 |",1]
["|  | DurationperFile | TagsperFile |  |  |\n| --- | --- | --- | --- | --- |\n|  | Mean | Median | Mean | Median |","| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |\n| --- | --- | --- | --- | --- | --- |\n| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |\n| VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |\n| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |",0]
["| Dataset | Available | people | images |\n| --- | --- | --- | --- |\n| IJB-A | public | 500 | 5712 |\n| LFW | public | 5K | 13K |\n| YFD | public | 1595 | 3425videos |","| CelebFaces | public | 10K | 202K |\n| --- | --- | --- | --- |\n| CASIA-WebFace | public | 10K | 500K |\n| Ours | public | 100K | about10M |\n| Facebook | private | 4K | 4400K |\n| Google | private | 8M | 100-200M |",1]
["| Dataset | Available | people | images |\n| --- | --- | --- | --- |\n| IJB-A | public | 500 | 5712 |\n| LFW | public | 5K | 13K |\n| YFD | public | 1595 | 3425videos |","| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["| Dataset | Available | people | images |\n| --- | --- | --- | --- |\n| IJB-A | public | 500 | 5712 |\n| LFW | public | 5K | 13K |\n| YFD | public | 1595 | 3425videos |","| CelebFaces | public | 10K | 202K |\n| --- | --- | --- | --- |\n| CASIA-WebFace | public | 10K | 500K |\n| Ours | public | 100K | about10M |\n| Facebook | private | 4K | 4400K |\n| Google | private | 8M | 100-200M |",1]
["| Dataset | Available | people | images |\n| --- | --- | --- | --- |\n| IJB-A | public | 500 | 5712 |\n| LFW | public | 5K | 13K |\n| YFD | public | 1595 | 3425videos |","| Twitter | 237 | 27 | 27 | 253 | 319 |\n| --- | --- | --- | --- | --- | --- |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["|  | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset |\n| --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 |\n| SIM | 0.3740 | 0.3957 | 0.4184 | 0.4012 |\n| HS | 0.1849 | 0.1909 | 0.2582 | 0.2516 |\n| BSCA | 0.1851 | 0.1754 | 0.2386 | 0.2148 |\n| LPS | 0.1406 | 0.1252 | 0.1960 | 0.2059 |\n| DES | 0.3079 | 0.3207 | 0.3132 | 0.4465 |","| NLPR | 0.1165 | 0.1087 | 0.1784 | 0.1669 |\n| --- | --- | --- | --- | --- |\n| OURS | 0.0794 | 0.0860 | 0.1779 | 0.1589 |",1]
["|  | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset |\n| --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 |\n| SIM | 0.3740 | 0.3957 | 0.4184 | 0.4012 |\n| HS | 0.1849 | 0.1909 | 0.2582 | 0.2516 |\n| BSCA | 0.1851 | 0.1754 | 0.2386 | 0.2148 |\n| LPS | 0.1406 | 0.1252 | 0.1960 | 0.2059 |\n| DES | 0.3079 | 0.3207 | 0.3132 | 0.4465 |","| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |\n| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |\n| HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |\n| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 |\n| LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 |\n| RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 |\n| RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 |\n| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 |\n| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |\n| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |",0]
["|  | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset |\n| --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 |","| SIM | 0.3740 | 0.3957 | 0.4184 | 0.4012 |\n| --- | --- | --- | --- | --- |\n| HS | 0.1849 | 0.1909 | 0.2582 | 0.2516 |\n| BSCA | 0.1851 | 0.1754 | 0.2386 | 0.2148 |\n| LPS | 0.1406 | 0.1252 | 0.1960 | 0.2059 |\n| DES | 0.3079 | 0.3207 | 0.3132 | 0.4465 |\n| NLPR | 0.1165 | 0.1087 | 0.1784 | 0.1669 |\n| OURS | 0.0794 | 0.0860 | 0.1779 | 0.1589 |",1]
["|  | RGBD135Dataset | NLPRDataset | SSD100Dataset | NJU2000Dataset |\n| --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2168 | 0.2738 | 0.2637 |","| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |\n| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |",0]
["| 1 | Item-kNN | Neighborhoodbased |\n| --- | --- | --- |\n| 2 | ALS | Alternatingleastsquares |\n| 3 | wALS | Weightedalternatingleastsquares |\n| 4 | BPTF | Bayesianprob.tensorfactorization |\n| 5 | SGD | Stochasticgradientdescent |\n| 6 | SVD++ | SVD++algorithm |\n| 7 | time-kNN | Timeawareneighborhoodmodel |\n| 8 | time-SGD | TimeawareSGD |\n| 9 | time-SVD++ | TimeawareSVD++ |","| 10 | Random-forest | Randomforest |\n| --- | --- | --- |\n| 11 | MFITR | MFitemtaxonomyregularization |\n| 12 | time-MFITR | MFitemtaxonomyregularization,<br>timeaware |",1]
["| 1 | Item-kNN | Neighborhoodbased |\n| --- | --- | --- |\n| 2 | ALS | Alternatingleastsquares |\n| 3 | wALS | Weightedalternatingleastsquares |\n| 4 | BPTF | Bayesianprob.tensorfactorization |\n| 5 | SGD | Stochasticgradientdescent |\n| 6 | SVD++ | SVD++algorithm |\n| 7 | time-kNN | Timeawareneighborhoodmodel |\n| 8 | time-SGD | TimeawareSGD |\n| 9 | time-SVD++ | TimeawareSVD++ |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| 1 | Item-kNN | Neighborhoodbased |\n| --- | --- | --- |\n| 2 | ALS | Alternatingleastsquares |\n| 3 | wALS | Weightedalternatingleastsquares |\n| 4 | BPTF | Bayesianprob.tensorfactorization |\n| 5 | SGD | Stochasticgradientdescent |\n| 6 | SVD++ | SVD++algorithm |\n| 7 | time-kNN | Timeawareneighborhoodmodel |\n| 8 | time-SGD | TimeawareSGD |\n| 9 | time-SVD++ | TimeawareSVD++ |\n| 10 | Random-forest | Randomforest |","| 11 | MFITR | MFitemtaxonomyregularization |\n| --- | --- | --- |\n| 12 | time-MFITR | MFitemtaxonomyregularization,<br>timeaware |",1]
["| 1 | Item-kNN | Neighborhoodbased |\n| --- | --- | --- |\n| 2 | ALS | Alternatingleastsquares |\n| 3 | wALS | Weightedalternatingleastsquares |\n| 4 | BPTF | Bayesianprob.tensorfactorization |\n| 5 | SGD | Stochasticgradientdescent |\n| 6 | SVD++ | SVD++algorithm |\n| 7 | time-kNN | Timeawareneighborhoodmodel |\n| 8 | time-SGD | TimeawareSGD |\n| 9 | time-SVD++ | TimeawareSVD++ |\n| 10 | Random-forest | Randomforest |","| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["|  | Anechoicchamber | Reverberantroom |\n| --- | --- | --- |\n| Source1 | ◦◦<br>(78.01,50.42) | ◦◦<br>(74.2,27.22) |\n| Source2 | ◦◦<br>(77.15,141.81) | ◦◦<br>(76.78,55.58) |","| Source3 | ◦◦<br>(76.29,218.87) | ◦◦<br>(77.06,87.09) |\n| --- | --- | --- |\n| Source4 | ◦◦<br>(71.42,313.69) | ◦◦<br>(73.91,324.90) |",1]
["|  | Anechoicchamber | Reverberantroom |\n| --- | --- | --- |\n| Source1 | ◦◦<br>(78.01,50.42) | ◦◦<br>(74.2,27.22) |\n| Source2 | ◦◦<br>(77.15,141.81) | ◦◦<br>(76.78,55.58) |","| Approach | deep |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RMSE | PR | CCC | RMSE | PR |  |\n| target | 0.67 | .786 | .776 | 0.66 | .787 |\n| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |\n| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |\n| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 |",0]
["|  | Anechoicchamber | Reverberantroom |\n| --- | --- | --- |\n| Source1 | ◦◦<br>(78.01,50.42) | ◦◦<br>(74.2,27.22) |","| Source2 | ◦◦<br>(77.15,141.81) | ◦◦<br>(76.78,55.58) |\n| --- | --- | --- |\n| Source3 | ◦◦<br>(76.29,218.87) | ◦◦<br>(77.06,87.09) |\n| Source4 | ◦◦<br>(71.42,313.69) | ◦◦<br>(73.91,324.90) |",1]
["|  | Anechoicchamber | Reverberantroom |\n| --- | --- | --- |\n| Source1 | ◦◦<br>(78.01,50.42) | ◦◦<br>(74.2,27.22) |","| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |\n| --- | --- | --- | --- | --- | --- |\n| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |\n| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 |",0]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 59.7<br>40.7<br>32.1<br>29.5<br>27.0 | 3257.2<br>744.0<br>325.7<br>199.2<br>140.7 | 1049774<br>1049813<br>1050066<br>1049869<br>1049849 | 6.62<br>6.62<br>6.62<br>6.62<br>6.62 | 342.3<br>343.5<br>343.4<br>345.9<br>345.4 | 100.73<br>101.26<br>101.73<br>102.07<br>102.29 | 0.279<br>0.255<br>0.235<br>0.219<br>0.205 | 2.213<br>2.189<br>2.173<br>2.163<br>2.155 | 7.66<br>7.56<br>7.46<br>7.45<br>7.34 | 9.3<br>9.1<br>9.0<br>9.0<br>9.0 | 7.43<br>7.33<br>7.25<br>7.24<br>7.15 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |","| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",1]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 59.7<br>40.7<br>32.1<br>29.5<br>27.0 | 3257.2<br>744.0<br>325.7<br>199.2<br>140.7 | 1049774<br>1049813<br>1050066<br>1049869<br>1049849 | 6.62<br>6.62<br>6.62<br>6.62<br>6.62 | 342.3<br>343.5<br>343.4<br>345.9<br>345.4 | 100.73<br>101.26<br>101.73<br>102.07<br>102.29 | 0.279<br>0.255<br>0.235<br>0.219<br>0.205 | 2.213<br>2.189<br>2.173<br>2.163<br>2.155 | 7.66<br>7.56<br>7.46<br>7.45<br>7.34 | 9.3<br>9.1<br>9.0<br>9.0<br>9.0 | 7.43<br>7.33<br>7.25<br>7.24<br>7.15 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 59.7<br>40.7<br>32.1<br>29.5<br>27.0 | 3257.2<br>744.0<br>325.7<br>199.2<br>140.7 | 1049774<br>1049813<br>1050066<br>1049869<br>1049849 | 6.62<br>6.62<br>6.62<br>6.62<br>6.62 | 342.3<br>343.5<br>343.4<br>345.9<br>345.4 | 100.73<br>101.26<br>101.73<br>102.07<br>102.29 | 0.279<br>0.255<br>0.235<br>0.219<br>0.205 | 2.213<br>2.189<br>2.173<br>2.163<br>2.155 | 7.66<br>7.56<br>7.46<br>7.45<br>7.34 | 9.3<br>9.1<br>9.0<br>9.0<br>9.0 | 7.43<br>7.33<br>7.25<br>7.24<br>7.15 |","| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",1]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 59.7<br>40.7<br>32.1<br>29.5<br>27.0 | 3257.2<br>744.0<br>325.7<br>199.2<br>140.7 | 1049774<br>1049813<br>1050066<br>1049869<br>1049849 | 6.62<br>6.62<br>6.62<br>6.62<br>6.62 | 342.3<br>343.5<br>343.4<br>345.9<br>345.4 | 100.73<br>101.26<br>101.73<br>102.07<br>102.29 | 0.279<br>0.255<br>0.235<br>0.219<br>0.205 | 2.213<br>2.189<br>2.173<br>2.163<br>2.155 | 7.66<br>7.56<br>7.46<br>7.45<br>7.34 | 9.3<br>9.1<br>9.0<br>9.0<br>9.0 | 7.43<br>7.33<br>7.25<br>7.24<br>7.15 |","| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| D | nanophase | cellequation | d=2 | d=3 | d=4 | d=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | L(S)1 | x<R | y | y,z | y,z,t | y,z,t,v |\n| 2 | C(S)2 | 222<br>x+y<R | * | z | z,t | z,t,v |","| 3 | S3 | 2222<br>x+y+z<R | imp | * | t | t,v |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | S4 | 22222<br>x+y+z+t<R | imp | imp | * | v |\n| 5 | S5 | 222222<br>x+y+z+t+v<R | imp | imp | imp | * |",1]
["| D | nanophase | cellequation | d=2 | d=3 | d=4 | d=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | L(S)1 | x<R | y | y,z | y,z,t | y,z,t,v |\n| 2 | C(S)2 | 222<br>x+y<R | * | z | z,t | z,t,v |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| D | nanophase | cellequation | d=2 | d=3 | d=4 | d=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | L(S)1 | x<R | y | y,z | y,z,t | y,z,t,v |","| 2 | C(S)2 | 222<br>x+y<R | * | z | z,t | z,t,v |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3 | S3 | 2222<br>x+y+z<R | imp | * | t | t,v |\n| 4 | S4 | 22222<br>x+y+z+t<R | imp | imp | * | v |\n| 5 | S5 | 222222<br>x+y+z+t+v<R | imp | imp | imp | * |",1]
["| D | nanophase | cellequation | d=2 | d=3 | d=4 | d=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | L(S)1 | x<R | y | y,z | y,z,t | y,z,t,v |","| DBLP | Netﬂix |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| Searchedwords | tﬁdfR | tfidfA | tﬁdf−tﬁdfRA | Commonwords | tﬁdfR | tﬁdfA | tﬁdf−tﬁdfRA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| written | 0.4371 | 0.04322 | 0.3938 | unsubscribe | 0.109 | 0.1833 | -0.0743 |\n| question | 0.447 | 0.0678 | 0.3796 | click | 0.0953 | 0.1671 | -0.0718 |","| answer | 0.2283 | 0.0377 | 0.1907 | please | 0.0931 | 0.1597 | -0.0666 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| commission | 0.2224 | 0.0386 | 0.1838 | about | 0.0761 | 0.1279 | -0.0518 |\n| union | 0.2273 | 0.0565 | 0.1708 | service | 0.0394 | 0.1248 | -0.0854 |\n| european | 0.2508 | 0.088 | 0.1628 | twitter | 0.0257 | 0.1193 | -0.0936 |\n| source | 0.2267 | 0.0663 | 0.1604 | trump | 0.0399 | 0.1085 | -0.0685 |\n| banking | 0.1599 | 0.0394 | 0.1205 | london | 0.2158 | 0.1017 | -0.1141 |\n| london | 0.2158 | 0.1017 | 0.1141 | contact | 0.0465 | 0.1001 | 0.0536 |\n| investment | 0.0548 | 0.0122 | 0.0425 | health | 0.0717 | 0.0983 | -0.026 |",1]
["| Searchedwords | tﬁdfR | tfidfA | tﬁdf−tﬁdfRA | Commonwords | tﬁdfR | tﬁdfA | tﬁdf−tﬁdfRA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| written | 0.4371 | 0.04322 | 0.3938 | unsubscribe | 0.109 | 0.1833 | -0.0743 |\n| question | 0.447 | 0.0678 | 0.3796 | click | 0.0953 | 0.1671 | -0.0718 |","| Advising<br>QuestionQuery | ATIS<br>QuestionQuery | GeoQuery<br>QuestionQuery |\n| --- | --- | --- |\n| 3695<br>83.8165.8 | 227111<br>55.169.2 | 19156<br>19.621.5 |\n| 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A |\n| 43675<br>69.868.4 | 9468<br>85.872.1 | 5384<br>25.618.0 |\n| 7925<br>88.890.5 | 122162<br>113.892.2 | 3042<br>29.725.0 |",0]
["| Searchedwords | tﬁdfR | tfidfA | tﬁdf−tﬁdfRA | Commonwords | tﬁdfR | tﬁdfA | tﬁdf−tﬁdfRA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| written | 0.4371 | 0.04322 | 0.3938 | unsubscribe | 0.109 | 0.1833 | -0.0743 |\n| question | 0.447 | 0.0678 | 0.3796 | click | 0.0953 | 0.1671 | -0.0718 |\n| answer | 0.2283 | 0.0377 | 0.1907 | please | 0.0931 | 0.1597 | -0.0666 |","| commission | 0.2224 | 0.0386 | 0.1838 | about | 0.0761 | 0.1279 | -0.0518 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| union | 0.2273 | 0.0565 | 0.1708 | service | 0.0394 | 0.1248 | -0.0854 |\n| european | 0.2508 | 0.088 | 0.1628 | twitter | 0.0257 | 0.1193 | -0.0936 |\n| source | 0.2267 | 0.0663 | 0.1604 | trump | 0.0399 | 0.1085 | -0.0685 |\n| banking | 0.1599 | 0.0394 | 0.1205 | london | 0.2158 | 0.1017 | -0.1141 |\n| london | 0.2158 | 0.1017 | 0.1141 | contact | 0.0465 | 0.1001 | 0.0536 |\n| investment | 0.0548 | 0.0122 | 0.0425 | health | 0.0717 | 0.0983 | -0.026 |",1]
["| Searchedwords | tﬁdfR | tfidfA | tﬁdf−tﬁdfRA | Commonwords | tﬁdfR | tﬁdfA | tﬁdf−tﬁdfRA |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| written | 0.4371 | 0.04322 | 0.3938 | unsubscribe | 0.109 | 0.1833 | -0.0743 |\n| question | 0.447 | 0.0678 | 0.3796 | click | 0.0953 | 0.1671 | -0.0718 |\n| answer | 0.2283 | 0.0377 | 0.1907 | please | 0.0931 | 0.1597 | -0.0666 |","| 100<br>111.8N/A | 16<br>28.071.3 | 50<br>17.2N/A |\n| --- | --- | --- |\n| 43675<br>69.868.4 | 9468<br>85.872.1 | 5384<br>25.618.0 |\n| 7925<br>88.890.5 | 122162<br>113.892.2 | 3042<br>29.725.0 |",0]
["| Experiment | Published<br>AverageAverage<br>PublishTimeMessageSizeThroughputBandwidth<br>(msec)(bytes)(msg/sec)(MB/sec) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 0.09 | 2,175 | 41.46 | 0.09 | 1,101 |\n| FutureGridx2 | 0.08 | 2,174 | 80.78 | 0.18 | 3,254 |","| XSEDE | 29.27 | 10,517 | 1.65 | 0.02 | 163 |\n| --- | --- | --- | --- | --- | --- |\n| XSEDEx2 | 26.08 | 10,443 | 3.32 | 0.03 | 593 |\n| OSG | 4.34 | 4,367 | 27.26 | 0.12 | 4,572 |\n| OSGx2 | 3.79 | 4,394 | 54.39 | 0.24 | 17,222 |",1]
["| Experiment | Published<br>AverageAverage<br>PublishTimeMessageSizeThroughputBandwidth<br>(msec)(bytes)(msg/sec)(MB/sec) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 0.09 | 2,175 | 41.46 | 0.09 | 1,101 |\n| FutureGridx2 | 0.08 | 2,174 | 80.78 | 0.18 | 3,254 |","| Experiment | Published<br>AverageAverage<br>UpdateTimeUpdateSizeThroughputBandwidth<br>(msec)(bytes)(updates/sec)(MB/sec) | Consumed<br>Throughput<br>(selects/sec) |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 127.74 | 2,175 | 41.46 | 0.09 | 3.26 |\n| FutureGridx2 | 120.44 | 2,174 | 80.78 | 0.18 | 4.91 |\n| XSEDE | 225.07 | 10,517 | 1.65 | 0.02 | 7.22 |\n| XSEDEx2 | 228.20 | 10,443 | 3.32 | 0.03 | 12.84 |\n| OSG | 202.70 | 4,367 | 27.26 | 0.12 | 10.38 |\n| OSGx2 | 218.02 | 4,394 | 54.39 | 0.24 | 22.24 |",0]
["| Experiment | Published<br>AverageAverage<br>PublishTimeMessageSizeThroughputBandwidth<br>(msec)(bytes)(msg/sec)(MB/sec) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 0.09 | 2,175 | 41.46 | 0.09 | 1,101 |\n| FutureGridx2 | 0.08 | 2,174 | 80.78 | 0.18 | 3,254 |\n| XSEDE | 29.27 | 10,517 | 1.65 | 0.02 | 163 |\n| XSEDEx2 | 26.08 | 10,443 | 3.32 | 0.03 | 593 |","| OSG | 4.34 | 4,367 | 27.26 | 0.12 | 4,572 |\n| --- | --- | --- | --- | --- | --- |\n| OSGx2 | 3.79 | 4,394 | 54.39 | 0.24 | 17,222 |",1]
["| Experiment | Published<br>AverageAverage<br>PublishTimeMessageSizeThroughputBandwidth<br>(msec)(bytes)(msg/sec)(MB/sec) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 0.09 | 2,175 | 41.46 | 0.09 | 1,101 |\n| FutureGridx2 | 0.08 | 2,174 | 80.78 | 0.18 | 3,254 |\n| XSEDE | 29.27 | 10,517 | 1.65 | 0.02 | 163 |\n| XSEDEx2 | 26.08 | 10,443 | 3.32 | 0.03 | 593 |","| OSG | 202.70 | 4,367 | 27.26 | 0.12 | 10.38 |\n| --- | --- | --- | --- | --- | --- |\n| OSGx2 | 218.02 | 4,394 | 54.39 | 0.24 | 22.24 |",0]
["| TopicProminence | CopulaDeletion | NPDeletion | DiscourseParticles |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Sentences | 15 | 19 | 21 | 51 |  |  |  |  |\n| UAS | LAS | UAS | LAS | UAS | LAS | UAS | LAS | UAS |\n| 78.15 | 62.96 | 66.91 | 56.83 | 72.57 | 64.00 | 70.00 | 59.00 | 78.92 |","| 77.78<br>81.48 | 68.52<br>72.22 | 71.94<br>74.82 | 61.15<br>63.31 | 76.57<br>80.00 | 69.14<br>73.71 | 85.25<br>85.25 | 77.25<br>77.75 | 73.13<br>75.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 87.04 | 76.85 | 77.70 | 71.22 | 80.00 | 75.43 | 88.50 | 83.75 | 84.14 |",1]
["| TopicProminence | CopulaDeletion | NPDeletion | DiscourseParticles |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Sentences | 15 | 19 | 21 | 51 |  |  |  |  |\n| UAS | LAS | UAS | LAS | UAS | LAS | UAS | LAS | UAS |\n| 78.15 | 62.96 | 66.91 | 56.83 | 72.57 | 64.00 | 70.00 | 59.00 | 78.92 |","| Similarity | Outlets | Grouped | Comm. | Mod. | Cond. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 |  |\n| Vocabulary | 79 | 341 | 52 | 262 | 7 | 14 | 0.38 | 0.38 | 0.02 | 0.35 |\n| Topics | 79 | 341 | 50 | 133 | 4 | 7 | 0.60 | 0.58 | 0.11 | 0.26 |\n| MinHash | 75 | 365 | 50 | 355 | 6 | 11 | 0.40 | 0.74 | 0.01 | 0.04 |",0]
["| TopicProminence | CopulaDeletion | NPDeletion | DiscourseParticles |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Sentences | 15 | 19 | 21 | 51 |  |  |  |  |\n| UAS | LAS | UAS | LAS | UAS | LAS | UAS | LAS | UAS |\n| 78.15 | 62.96 | 66.91 | 56.83 | 72.57 | 64.00 | 70.00 | 59.00 | 78.92 |","| 77.78<br>81.48 | 68.52<br>72.22 | 71.94<br>74.82 | 61.15<br>63.31 | 76.57<br>80.00 | 69.14<br>73.71 | 85.25<br>85.25 | 77.25<br>77.75 | 73.13<br>75.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 87.04 | 76.85 | 77.70 | 71.22 | 80.00 | 75.43 | 88.50 | 83.75 | 84.14 |",1]
["| TopicProminence | CopulaDeletion | NPDeletion | DiscourseParticles |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Sentences | 15 | 19 | 21 | 51 |  |  |  |  |\n| UAS | LAS | UAS | LAS | UAS | LAS | UAS | LAS | UAS |\n| 78.15 | 62.96 | 66.91 | 56.83 | 72.57 | 64.00 | 70.00 | 59.00 | 78.92 |","| Vocabulary | 79 | 341 | 52 | 262 | 7 | 14 | 0.38 | 0.38 | 0.02 | 0.35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Topics | 79 | 341 | 50 | 133 | 4 | 7 | 0.60 | 0.58 | 0.11 | 0.26 |\n| MinHash | 75 | 365 | 50 | 355 | 6 | 11 | 0.40 | 0.74 | 0.01 | 0.04 |",0]
["| w | w¯ | o1 | p1 | c1 | o2 | p2 | c2 | POS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jhangrd(tourist) | jhangrdi(tourism) | i | 2 | i | - | - | - | NSING |\n| jhangrd | jhangrdan(tourists) | i | 2 | n | i | 2 | a | NSING |\n| jhangrd | jhangir(propernoun) | d | 1 | i | i | 2 | d | NSING |\n| ksart(damage) | ksarat(damages) | i | 1 | a | - | - | - | NSING |\n| ksart | ksarati(adamage) | i | 2 | i | i | 1 | a | NSING |\n| asr(eﬀect) | asar(eﬀects) | i | 1 | a | - | - | - | NSING |","| hal(status) | ahval(status) | i | 0 | a | i | 1 | v | NSING |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| arz(land) | arazi(lands) | i | 1 | a | i | 2 | i | NSING |\n| shabe(friend) | ashab(friends) | i | 0 | a | d | 2 | e | NSING |\n| jzirh(island) | jzair(islands) | i | 1 | a | d | 2 | e | NSING |",1]
["| w | w¯ | o1 | p1 | c1 | o2 | p2 | c2 | POS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jhangrd(tourist) | jhangrdi(tourism) | i | 2 | i | - | - | - | NSING |\n| jhangrd | jhangrdan(tourists) | i | 2 | n | i | 2 | a | NSING |\n| jhangrd | jhangir(propernoun) | d | 1 | i | i | 2 | d | NSING |\n| ksart(damage) | ksarat(damages) | i | 1 | a | - | - | - | NSING |\n| ksart | ksarati(adamage) | i | 2 | i | i | 1 | a | NSING |\n| asr(eﬀect) | asar(eﬀects) | i | 1 | a | - | - | - | NSING |","|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | novine(newspaper) | i(and) | i(and) | i(and) | i(and) |\n| 2. | temelju(basedon) | u(in) | u(in) | ili(or) | u(in) |\n| 3. | manjinu(minority) | za(for) | je(is) | je(is) | za(for) |\n| 4. | srpsku(Serbian) | na(on) | za(for) | se(self) | ili(or) |\n| 5. | sladu(harmony) | ili(or) | se(self) | da(that) | na(on) |\n| 6. | snagu(strength) | iz(from) | ili(or) | usluga(service) | je(is) |\n| 7. | osiguranju(insurance) | te(and) | na(on) | zakona(law) | se(self) |\n| 8. | narodnim(national) | je(is) | o(on) | a(but) | o(on) |\n| 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |\n| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) |",0]
["| w | w¯ | o1 | p1 | c1 | o2 | p2 | c2 | POS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jhangrd(tourist) | jhangrdi(tourism) | i | 2 | i | - | - | - | NSING |\n| jhangrd | jhangrdan(tourists) | i | 2 | n | i | 2 | a | NSING |\n| jhangrd | jhangir(propernoun) | d | 1 | i | i | 2 | d | NSING |\n| ksart(damage) | ksarat(damages) | i | 1 | a | - | - | - | NSING |\n| ksart | ksarati(adamage) | i | 2 | i | i | 1 | a | NSING |\n| asr(eﬀect) | asar(eﬀects) | i | 1 | a | - | - | - | NSING |","| hal(status) | ahval(status) | i | 0 | a | i | 1 | v | NSING |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| arz(land) | arazi(lands) | i | 1 | a | i | 2 | i | NSING |\n| shabe(friend) | ashab(friends) | i | 0 | a | d | 2 | e | NSING |\n| jzirh(island) | jzair(islands) | i | 1 | a | d | 2 | e | NSING |",1]
["| w | w¯ | o1 | p1 | c1 | o2 | p2 | c2 | POS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jhangrd(tourist) | jhangrdi(tourism) | i | 2 | i | - | - | - | NSING |\n| jhangrd | jhangrdan(tourists) | i | 2 | n | i | 2 | a | NSING |\n| jhangrd | jhangir(propernoun) | d | 1 | i | i | 2 | d | NSING |\n| ksart(damage) | ksarat(damages) | i | 1 | a | - | - | - | NSING |\n| ksart | ksarati(adamage) | i | 2 | i | i | 1 | a | NSING |\n| asr(eﬀect) | asar(eﬀects) | i | 1 | a | - | - | - | NSING |","| 6. | snagu(strength) | iz(from) | ili(or) | usluga(service) | je(is) |\n| --- | --- | --- | --- | --- | --- |\n| 7. | osiguranju(insurance) | te(and) | na(on) | zakona(law) | se(self) |\n| 8. | narodnim(national) | je(is) | o(on) | a(but) | o(on) |\n| 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |\n| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) |",0]
["| Dataset | Bi | Ped | Skate | Carts | Car | Bus |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1004 | 926 | 57 | 19 | 23 | 15 |\n|  | 163 | 2493 | 24 | 18 | 1065 | 58 |\n|  | 224 | 956 | 2 | 2 | 2 | 0 |\n|  | 2594 | 1492 | 111 | 154 | 165 | 26 |","|  | 1017 | 1991 | 50 | 30 | 27 | 11 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1362 | 3358 | 89 | 21 | 10 | 5 |\n|  | 6364 | 11216 | 333 | 244 | 1292 | 115 |",1]
["| Dataset | Bi | Ped | Skate | Carts | Car | Bus |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1004 | 926 | 57 | 19 | 23 | 15 |\n|  | 163 | 2493 | 24 | 18 | 1065 | 58 |\n|  | 224 | 956 | 2 | 2 | 2 | 0 |\n|  | 2594 | 1492 | 111 | 154 | 165 | 26 |","| Dataset | ExclusivelyDark | MicrosoftCOCO |\n| --- | --- | --- |\n| Class | NumberofImage | Numberofimage |\n| Bicycle | 652 | 603 |\n| Boat | 679 | 650 |\n| Bottle | 547 | 650 |\n| Bus | 527 | 564 |\n| Car | 638 | 650 |\n| Cat | 735 | 650 |\n| Chair | 648 | 651 |\n| Cup | 519 | 650 |\n| Dog | 801 | 650 |\n| Motorbike | 503 | 644 |\n| People | 609 | 650 |\n| Table | 505 | 650 |\n| Total | 7,363 | 7,662 |",0]
["| Dataset | Bi | Ped | Skate | Carts | Car | Bus |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1004 | 926 | 57 | 19 | 23 | 15 |\n|  | 163 | 2493 | 24 | 18 | 1065 | 58 |\n|  | 224 | 956 | 2 | 2 | 2 | 0 |\n|  | 2594 | 1492 | 111 | 154 | 165 | 26 |","|  | 1017 | 1991 | 50 | 30 | 27 | 11 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1362 | 3358 | 89 | 21 | 10 | 5 |\n|  | 6364 | 11216 | 333 | 244 | 1292 | 115 |",1]
["| Dataset | Bi | Ped | Skate | Carts | Car | Bus |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1004 | 926 | 57 | 19 | 23 | 15 |\n|  | 163 | 2493 | 24 | 18 | 1065 | 58 |\n|  | 224 | 956 | 2 | 2 | 2 | 0 |\n|  | 2594 | 1492 | 111 | 154 | 165 | 26 |","| Cat | 735 | 650 |\n| --- | --- | --- |\n| Chair | 648 | 651 |\n| Cup | 519 | 650 |\n| Dog | 801 | 650 |\n| Motorbike | 503 | 644 |\n| People | 609 | 650 |\n| Table | 505 | 650 |\n| Total | 7,363 | 7,662 |",0]
["| Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cﬁnder | k |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 |","| dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |\n| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |\n| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 |  | 0.64 | 4 |\n| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 |  | 0.55 | 7 |\n| netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 |\n| celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 |\n| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |\n| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |\n| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |",1]
["| Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cﬁnder | k |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cﬁnder | k |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 |\n| dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |\n| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |\n| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |\n| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 |  | 0.64 | 4 |\n| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 |  | 0.55 | 7 |","| netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 |\n| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |\n| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |\n| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |",1]
["| Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cﬁnder | k |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 |\n| dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |\n| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |\n| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |\n| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 |  | 0.64 | 4 |\n| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 |  | 0.55 | 7 |","| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| ViewportResolution |  |  |\n| --- | --- | --- |\n| Method | 1280×720 | 1920×1080 |\n| ShadowMapping | 3.07ms | 3.67ms |","| RBSM(Optimized) | 3.49ms | 4.29ms |\n| --- | --- | --- |\n| RBSM(Non-Optimized) | 3.51ms | 4.31ms |\n| ShadowVolumes | 140.20ms | 297.62ms |",1]
["| ViewportResolution |  |  |\n| --- | --- | --- |\n| Method | 1280×720 | 1920×1080 |\n| ShadowMapping | 3.07ms | 3.67ms |","| ShadowMapResolution |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Method | 512 | 1024 | 2048 | 4096 |\n| ShadowMapping | 5.49ms | 5.53ms | 5.58ms | 5.98ms |\n| PCF | 6.25ms | 6.75ms | 6.82ms | 7.40ms |\n| VSM | 6.45ms | 6.81ms | 7.14ms | 8.00ms |\n| MSM | 6.53ms | 6.84ms | 7.09ms | 8.06ms |\n| RBSM(Optimized) | 7.04ms | 7.70ms | 8.14ms | 9.40ms |\n| RBSM(Non-Optimized) | 7.07ms | 7.73ms | 8.20ms | 9.46ms |",0]
["| ViewportResolution |  |  |\n| --- | --- | --- |\n| Method | 1280×720 | 1920×1080 |\n| ShadowMapping | 3.07ms | 3.67ms |","| RBSM(Optimized) | 3.49ms | 4.29ms |\n| --- | --- | --- |\n| RBSM(Non-Optimized) | 3.51ms | 4.31ms |\n| ShadowVolumes | 140.20ms | 297.62ms |",1]
["| ViewportResolution |  |  |\n| --- | --- | --- |\n| Method | 1280×720 | 1920×1080 |\n| ShadowMapping | 3.07ms | 3.67ms |","| RBSM(Optimized) | 7.04ms | 7.70ms | 8.14ms | 9.40ms |\n| --- | --- | --- | --- | --- |\n| RBSM(Non-Optimized) | 7.07ms | 7.73ms | 8.20ms | 9.46ms |",0]
["| PSNR(dB)/SSIM | Test | HE | CLAHE | GA | HE+BM3D | LLNet* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Bird<br>Bird-D<br>Bird-D+GN18<br>Bird-D+GN25 | N/A/1.00<br>12.27/0.18<br>12.56/0.14<br>12.70/0.12 | 11.22/0.63<br>11.28/0.62<br>9.25/0.09<br>9.04/0.08 | 21.55/0.90<br>15.15/0.52<br>14.63/0.11<br>13.60/0.09 | 8.26/0.63<br>26.06/0.84<br>13.49/0.10<br>12.51/0.08 | 11.27/0.69<br>11.35/0.71<br>9.98/0.13<br>9.72/0.11 | 20.35/0.92<br>18.43/0.60<br>19.73/0.56<br>21.17/0.50 |","| Girl<br>Girl-D<br>Girl-D+GN18<br>Girl-D+GN25 | N/A/1.00<br>9.50/0.50<br>9.43/0.21<br>9.39/0.15 | 18.24/0.80<br>18.27/0.80<br>16.07/0.26<br>15.33/0.19 | 17.02/0.70<br>14.36/0.66<br>12.95/0.17<br>12.09/0.12 | 10.52/0.78<br>29.73/0.99<br>16.90/0.30<br>15.14/0.20 | 18.23/0.69<br>18.26/0.69<br>19.28/0.53<br>18.50/0.39 | 17.33/0.84<br>22.45/0.80<br>20.04/0.60<br>19.60/0.49 |\n| --- | --- | --- | --- | --- | --- | --- |\n| House<br>House-D<br>House-D+GN18<br>House-D+GN25 | N/A/1.00<br>12.12/0.33<br>12.19/0.29<br>12.16/0.26 | 13.36/0.70<br>12.03/0.65<br>10.55/0.33<br>10.09/0.29 | 18.89/0.81<br>16.81/0.60<br>15.48/0.35<br>14.08/0.29 | 9.50/0.56<br>26.79/0.82<br>13.76/0.33<br>12.67/0.28 | 13.24/0.61<br>11.92/0.54<br>11.39/0.42<br>10.94/0.37 | 11.61/0.60<br>21.10/0.64<br>20.25/0.56<br>19.71/0.52 |\n| Pepper<br>Pepper-D<br>Pepper-D+GN18<br>Pepper-D+GN25 | N/A/1.00<br>10.45/0.37<br>11.13/0.19<br>10.41/0.15 | 18.61/0.90<br>18.45/0.85<br>14.69/0.21<br>13.67/0.15 | 18.27/0.76<br>15.46/0.61<br>14.47/0.17<br>13.31/0.13 | 9.63/0.69<br>28.28/0.90<br>14.66/0.22<br>13.87/0.16 | 18.61/0.84<br>18.45/0.80<br>16.97/0.57<br>15.96/0.36 | 10.92/0.71<br>21.33/0.78<br>22.23/0.57<br>21.48/0.48 |\n| Town<br>Town-D<br>Town-D+GN18<br>Town-D+GN25 | N/A/1.00<br>10.17/0.36<br>10.19/0.18<br>10.21/0.14 | 17.55/0.79<br>17.55/0.79<br>14.85/0.25<br>14.22/0.20 | 16.35/0.69<br>15.00/0.65<br>13.34/0.17<br>12.40/0.13 | 9.41/0.74<br>28.63/0.97<br>15.12/0.24<br>13.73/0.17 | 17.70/0.76<br>17.72/0.76<br>17.51/0.41<br>16.62/0.32 | 17.91/0.90<br>22.47/0.81<br>20.00/0.60<br>20.11/0.51 |",1]
["| PSNR(dB)/SSIM | Test | HE | CLAHE | GA | HE+BM3D | LLNet* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Bird<br>Bird-D<br>Bird-D+GN18<br>Bird-D+GN25 | N/A/1.00<br>12.27/0.18<br>12.56/0.14<br>12.70/0.12 | 11.22/0.63<br>11.28/0.62<br>9.25/0.09<br>9.04/0.08 | 21.55/0.90<br>15.15/0.52<br>14.63/0.11<br>13.60/0.09 | 8.26/0.63<br>26.06/0.84<br>13.49/0.10<br>12.51/0.08 | 11.27/0.69<br>11.35/0.71<br>9.98/0.13<br>9.72/0.11 | 20.35/0.92<br>18.43/0.60<br>19.73/0.56<br>21.17/0.50 |","| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 |\n| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |\n| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",0]
["| PSNR(dB)/SSIM | Test | HE | CLAHE | GA | HE+BM3D | LLNet* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Bird<br>Bird-D<br>Bird-D+GN18<br>Bird-D+GN25 | N/A/1.00<br>12.27/0.18<br>12.56/0.14<br>12.70/0.12 | 11.22/0.63<br>11.28/0.62<br>9.25/0.09<br>9.04/0.08 | 21.55/0.90<br>15.15/0.52<br>14.63/0.11<br>13.60/0.09 | 8.26/0.63<br>26.06/0.84<br>13.49/0.10<br>12.51/0.08 | 11.27/0.69<br>11.35/0.71<br>9.98/0.13<br>9.72/0.11 | 20.35/0.92<br>18.43/0.60<br>19.73/0.56<br>21.17/0.50 |\n| Girl<br>Girl-D<br>Girl-D+GN18<br>Girl-D+GN25 | N/A/1.00<br>9.50/0.50<br>9.43/0.21<br>9.39/0.15 | 18.24/0.80<br>18.27/0.80<br>16.07/0.26<br>15.33/0.19 | 17.02/0.70<br>14.36/0.66<br>12.95/0.17<br>12.09/0.12 | 10.52/0.78<br>29.73/0.99<br>16.90/0.30<br>15.14/0.20 | 18.23/0.69<br>18.26/0.69<br>19.28/0.53<br>18.50/0.39 | 17.33/0.84<br>22.45/0.80<br>20.04/0.60<br>19.60/0.49 |","| House<br>House-D<br>House-D+GN18<br>House-D+GN25 | N/A/1.00<br>12.12/0.33<br>12.19/0.29<br>12.16/0.26 | 13.36/0.70<br>12.03/0.65<br>10.55/0.33<br>10.09/0.29 | 18.89/0.81<br>16.81/0.60<br>15.48/0.35<br>14.08/0.29 | 9.50/0.56<br>26.79/0.82<br>13.76/0.33<br>12.67/0.28 | 13.24/0.61<br>11.92/0.54<br>11.39/0.42<br>10.94/0.37 | 11.61/0.60<br>21.10/0.64<br>20.25/0.56<br>19.71/0.52 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pepper<br>Pepper-D<br>Pepper-D+GN18<br>Pepper-D+GN25 | N/A/1.00<br>10.45/0.37<br>11.13/0.19<br>10.41/0.15 | 18.61/0.90<br>18.45/0.85<br>14.69/0.21<br>13.67/0.15 | 18.27/0.76<br>15.46/0.61<br>14.47/0.17<br>13.31/0.13 | 9.63/0.69<br>28.28/0.90<br>14.66/0.22<br>13.87/0.16 | 18.61/0.84<br>18.45/0.80<br>16.97/0.57<br>15.96/0.36 | 10.92/0.71<br>21.33/0.78<br>22.23/0.57<br>21.48/0.48 |\n| Town<br>Town-D<br>Town-D+GN18<br>Town-D+GN25 | N/A/1.00<br>10.17/0.36<br>10.19/0.18<br>10.21/0.14 | 17.55/0.79<br>17.55/0.79<br>14.85/0.25<br>14.22/0.20 | 16.35/0.69<br>15.00/0.65<br>13.34/0.17<br>12.40/0.13 | 9.41/0.74<br>28.63/0.97<br>15.12/0.24<br>13.73/0.17 | 17.70/0.76<br>17.72/0.76<br>17.51/0.41<br>16.62/0.32 | 17.91/0.90<br>22.47/0.81<br>20.00/0.60<br>20.11/0.51 |",1]
["| PSNR(dB)/SSIM | Test | HE | CLAHE | GA | HE+BM3D | LLNet* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Bird<br>Bird-D<br>Bird-D+GN18<br>Bird-D+GN25 | N/A/1.00<br>12.27/0.18<br>12.56/0.14<br>12.70/0.12 | 11.22/0.63<br>11.28/0.62<br>9.25/0.09<br>9.04/0.08 | 21.55/0.90<br>15.15/0.52<br>14.63/0.11<br>13.60/0.09 | 8.26/0.63<br>26.06/0.84<br>13.49/0.10<br>12.51/0.08 | 11.27/0.69<br>11.35/0.71<br>9.98/0.13<br>9.72/0.11 | 20.35/0.92<br>18.43/0.60<br>19.73/0.56<br>21.17/0.50 |\n| Girl<br>Girl-D<br>Girl-D+GN18<br>Girl-D+GN25 | N/A/1.00<br>9.50/0.50<br>9.43/0.21<br>9.39/0.15 | 18.24/0.80<br>18.27/0.80<br>16.07/0.26<br>15.33/0.19 | 17.02/0.70<br>14.36/0.66<br>12.95/0.17<br>12.09/0.12 | 10.52/0.78<br>29.73/0.99<br>16.90/0.30<br>15.14/0.20 | 18.23/0.69<br>18.26/0.69<br>19.28/0.53<br>18.50/0.39 | 17.33/0.84<br>22.45/0.80<br>20.04/0.60<br>19.60/0.49 |","| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",0]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |","| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",1]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |","| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |","| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",1]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |","| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Peek-a-boo |  |  |\n| --- | --- | --- |\n| Model | Avgdiﬀ(s) | p-value |\n| TruncatedSTM | -0.25 | 0.97 |\n| NoSTM | -5.0 | 0.85 |\n| Drumming |  |  |","| Model | Avgdiﬀ(s) | p-value |\n| --- | --- | --- |\n| TruncatedSTM | 177.8 | 0.05* |\n| NoSTM | – | – |",1]
["| Peek-a-boo |  |  |\n| --- | --- | --- |\n| Model | Avgdiﬀ(s) | p-value |\n| TruncatedSTM | -0.25 | 0.97 |\n| NoSTM | -5.0 | 0.85 |\n| Drumming |  |  |","| Model | (R,N) | Accuracy | Time | Speedup |\n| --- | --- | --- | --- | --- |\n| Children’sBookTest-NamedEntity |  |  |  |  |\n| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |\n| LSTM | n/a | 0.438 | 124.5s | 1x |\n| Children’sBookTest-CommonNoun |  |  |  |  |\n| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.493<br>0.487<br>0.497 | 39.3s<br>29.7s<br>19.8s | 3.09x<br>4.09x<br>6.14x |\n| LSTM | n/a | 0.453 | 121.5s | 1x |",0]
["| Peek-a-boo |  |  |\n| --- | --- | --- |\n| Model | Avgdiﬀ(s) | p-value |\n| TruncatedSTM | -0.25 | 0.97 |","| NoSTM | -5.0 | 0.85 |\n| --- | --- | --- |\n| Drumming |  |  |\n| Model | Avgdiﬀ(s) | p-value |\n| TruncatedSTM | 177.8 | 0.05* |\n| NoSTM | – | – |",1]
["| Peek-a-boo |  |  |\n| --- | --- | --- |\n| Model | Avgdiﬀ(s) | p-value |\n| TruncatedSTM | -0.25 | 0.97 |","| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |\n| --- | --- | --- | --- | --- |\n| LSTM | n/a | 0.438 | 124.5s | 1x |\n| Children’sBookTest-CommonNoun |  |  |  |  |\n| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.493<br>0.487<br>0.497 | 39.3s<br>29.7s<br>19.8s | 3.09x<br>4.09x<br>6.14x |\n| LSTM | n/a | 0.453 | 121.5s | 1x |",0]
["| Application | Description |\n| --- | --- |\n| LU | LUfactorization(PDGETRFfromScaLAPACK) |\n| MM | Matrix-matrixmultiplication(PDGEMMfromPBLAS). |","| Master-worker | Asyntheticmaster-workerapplication.Eachiterationrequires20000ﬁxed-timeworkunits. |\n| --- | --- |\n| Jacobi | Aniterativejacobisolver(dense-matrix)application. |\n| FFT | A2Dfastfouriertransformapplicationusedforimagetransformation. |",1]
["| Application | Description |\n| --- | --- |\n| LU | LUfactorization(PDGETRFfromScaLAPACK) |\n| MM | Matrix-matrixmultiplication(PDGEMMfromPBLAS). |","| Benchmark | Conﬁguration | Executiontime(s) |\n| --- | --- | --- |\n| ClassA |  |  |\n| Crypt | vectorsize:3000000 | 0,225 |\n| LUFact | matrixsize:500 | 0,091 |\n| Series | Numberofcoeﬃcients:10000 | 10,054 |\n| SOR | matrixsize:1000 | 0,885 |\n| SparseMatMult | matrixsize:50000 | 0,665 |\n| ClassB |  |  |\n| Crypt | vectorsize:20000000 | 1,341 |\n| LUFact | matrixsize:1000 | 0,778 |\n| Series | Numberofcoeﬃcients:100000 | 102,973 |\n| SOR | matrixsize:1500 | 2,021 |\n| SparseMatMult | matrixsize:100000 | 1,744 |\n| ClassC |  |  |\n| Crypt | vectorsize:50000000 | 3,340 |\n| LUFact | matrixsize:2000 | 9,181 |\n| Series | Numberofcoeﬃcients:1000000 | 1669,133 |\n| SOR | matrixsize:2000 | 3,432 |\n| SparseMatMult | matrixsize:500000 | 19,448 |",0]
["| Application | Description |\n| --- | --- |\n| LU | LUfactorization(PDGETRFfromScaLAPACK) |\n| MM | Matrix-matrixmultiplication(PDGEMMfromPBLAS). |\n| Master-worker | Asyntheticmaster-workerapplication.Eachiterationrequires20000ﬁxed-timeworkunits. |","| Jacobi | Aniterativejacobisolver(dense-matrix)application. |\n| --- | --- |\n| FFT | A2Dfastfouriertransformapplicationusedforimagetransformation. |",1]
["| Application | Description |\n| --- | --- |\n| LU | LUfactorization(PDGETRFfromScaLAPACK) |\n| MM | Matrix-matrixmultiplication(PDGEMMfromPBLAS). |\n| Master-worker | Asyntheticmaster-workerapplication.Eachiterationrequires20000ﬁxed-timeworkunits. |","| Crypt | vectorsize:50000000 | 3,340 |\n| --- | --- | --- |\n| LUFact | matrixsize:2000 | 9,181 |\n| Series | Numberofcoeﬃcients:1000000 | 1669,133 |\n| SOR | matrixsize:2000 | 3,432 |\n| SparseMatMult | matrixsize:500000 | 19,448 |",0]
["| Outlet | N | Outlet | N |\n| --- | --- | --- | --- |\n| HeavilyRightLeaning | HeavilyLeftLeaning |  |  |\n| RealClearPolitics | 7 | HuﬃngtonPost | 68 |\n| WashingtonTimes | 11 | Vox | 16 |\n| Breitbart | 7 | Politico | 94 |\n| TheHill | 32 | NewYorker | 13 |\n| NationalReview | 10 |  |  |\n| RightLeaning | LeftLeaning |  |  |\n| NewYorkPost | 19 | USATODAY | 45 |\n| Oklahoman | 12 | Bloomberg | 107 |\n| Tennessean | 9 | BuzzFeed | 57 |\n| WallStreetJournal | 82 | NewYorkTimes | 190 |","| ArizonaRepublic | 22 | WashingtonPost | 143 |\n| --- | --- | --- | --- |\n| FloridaTimes-Union | 13 |  |  |\n| WeeklyStandard | 9 |  |  |\n| DallasMorningNews | 25 |  |  |\n| NewYorkDaily<br>News | 25 |  |  |\n| OrangeCounty<br>Register | 12 |  |  |\n| LasVegasReview-<br>Journal | 14 |  |  |",1]
["| Outlet | N | Outlet | N |\n| --- | --- | --- | --- |\n| HeavilyRightLeaning | HeavilyLeftLeaning |  |  |\n| RealClearPolitics | 7 | HuﬃngtonPost | 68 |\n| WashingtonTimes | 11 | Vox | 16 |\n| Breitbart | 7 | Politico | 94 |\n| TheHill | 32 | NewYorker | 13 |\n| NationalReview | 10 |  |  |\n| RightLeaning | LeftLeaning |  |  |\n| NewYorkPost | 19 | USATODAY | 45 |\n| Oklahoman | 12 | Bloomberg | 107 |\n| Tennessean | 9 | BuzzFeed | 57 |\n| WallStreetJournal | 82 | NewYorkTimes | 190 |","| Newspaper | Facebookproﬁle | Posts | Comments |\n| --- | --- | --- | --- |\n| TheWallStreetJournal | wsj | 1577 | 136969 |\n| TheNewYorkTimes | nytimes | 265 | 98099 |\n| USAToday | usatoday | 560 | 155893 |\n| LosAngelesTimes | latimes | 532 | 124477 |\n| SanJoseMercuryNews | mercurynews | 0 | 0 |\n| NewYorkDailyNews | NYDailyNews | 1637 | 124948 |\n| NewYorkPost | NYPost | 479 | 132715 |\n| TheWashingtonPost | washingtonpost | 232 | 101260 |\n| ChicagoSun-Times | thechicagosuntimes | 2215 | 64675 |\n| TheDenverPost | denverpost | 1376 | 113621 |\n| ChicagoTribune | chicagotribune | 2401 | 141361 |\n| TheDallasMorningNews | dallasmorningnews | 2458 | 148154 |\n| Newsday | newsday | 2432 | 60549 |\n| HoustonChronicle | houstonchronicle | 1350 | 920 |\n| OrangeCountyRegister | ocregister | 1123 | 37153 |\n| TheStar-Ledger | Star.Ledger | 284 | 3142 |\n| TampaBayTimes | tampabaycom | 1539 | 76388 |\n| ThePlainDealer | ThePlainDealerCLE | 4 | 33 |\n| ThePhiladelphiaInquirer | phillyinquirer | 2124 | 10491 |\n| StarTribune | startribune | 2820 | 106357 |\n| TheArizonaRepublic | azcentral | 2073 | 151590 |\n| HonoluluStar-Advertiser | staradvertiser | 3487 | 52447 |\n| LasVegasReview-Journal | reviewjournal | 3588 | 108614 |\n| SanDiegoUnion-Tribune | SanDiegoUnionTribune | 2163 | 45530 |\n| TheBostonGlobe | globe | 3098 | 129652 |",0]
["| Outlet | N | Outlet | N |\n| --- | --- | --- | --- |\n| HeavilyRightLeaning | HeavilyLeftLeaning |  |  |\n| RealClearPolitics | 7 | HuﬃngtonPost | 68 |\n| WashingtonTimes | 11 | Vox | 16 |\n| Breitbart | 7 | Politico | 94 |\n| TheHill | 32 | NewYorker | 13 |","| NationalReview | 10 |  |  |\n| --- | --- | --- | --- |\n| RightLeaning | LeftLeaning |  |  |\n| NewYorkPost | 19 | USATODAY | 45 |\n| Oklahoman | 12 | Bloomberg | 107 |\n| Tennessean | 9 | BuzzFeed | 57 |\n| WallStreetJournal | 82 | NewYorkTimes | 190 |\n| ArizonaRepublic | 22 | WashingtonPost | 143 |\n| FloridaTimes-Union | 13 |  |  |\n| WeeklyStandard | 9 |  |  |\n| DallasMorningNews | 25 |  |  |\n| NewYorkDaily<br>News | 25 |  |  |\n| OrangeCounty<br>Register | 12 |  |  |\n| LasVegasReview-<br>Journal | 14 |  |  |",1]
["| Outlet | N | Outlet | N |\n| --- | --- | --- | --- |\n| HeavilyRightLeaning | HeavilyLeftLeaning |  |  |\n| RealClearPolitics | 7 | HuﬃngtonPost | 68 |\n| WashingtonTimes | 11 | Vox | 16 |\n| Breitbart | 7 | Politico | 94 |\n| TheHill | 32 | NewYorker | 13 |","| LasVegasReview-Journal | reviewjournal | 3588 | 108614 |\n| --- | --- | --- | --- |\n| SanDiegoUnion-Tribune | SanDiegoUnionTribune | 2163 | 45530 |\n| TheBostonGlobe | globe | 3098 | 129652 |",0]
["|  | GPU(Batches/sec.) |\n| --- | --- |\n| short-cut | c=32c=64c=128 |\n| yes | 242720661436 |\n| no | 264722561735 |","| yes | 267221211458 |\n| --- | --- |\n| no | 284223761782 |",1]
["|  | GPU(Batches/sec.) |\n| --- | --- |\n| short-cut | c=32c=64c=128 |\n| yes | 242720661436 |\n| no | 264722561735 |","| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |\n| 800 | 3200 | 12800 |\n| 1568 | 6272 | 25088 |",0]
["|  | GPU(Batches/sec.) |\n| --- | --- |\n| short-cut | c=32c=64c=128 |\n| yes | 242720661436 |\n| no | 264722561735 |","| yes | 267221211458 |\n| --- | --- |\n| no | 284223761782 |",1]
["|  | GPU(Batches/sec.) |\n| --- | --- |\n| short-cut | c=32c=64c=128 |\n| yes | 242720661436 |\n| no | 264722561735 |","| 288 | 1152 | 4608 |\n| --- | --- | --- |\n| 800 | 3200 | 12800 |\n| 1568 | 6272 | 25088 |",0]
["| Description | AccessDescriptor |\n| --- | --- |\n| Read-onlyaccess | access.READ |\n| Write-onlyaccess | access.WRITE |\n| Readandwriteaccess | access.RW |","| Incrementalaccess | access.INC |\n| --- | --- |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",1]
["| Description | AccessDescriptor |\n| --- | --- |\n| Read-onlyaccess | access.READ |\n| Write-onlyaccess | access.WRITE |\n| Readandwriteaccess | access.RW |","| Permission | Requests |\n| --- | --- |\n| ACCESSNETWORKSTATE | 31,206 |\n| WAKELOCK | 23,816 |\n| ACCESSFINELOCATION | 5,652 |\n| GETACCOUNTS | 3,411 |\n| ACCESSWIFISTATE | 1,826 |\n| UPDATEDEVICESTATS | 1,426 |\n| ACCESSCOARSELOCATION | 1,277 |\n| AUTHENTICATEACCOUNTS | 644 |\n| READSYNCSETTINGS | 426 |\n| INTERNET | 416 |",0]
["| Description | AccessDescriptor |\n| --- | --- |\n| Read-onlyaccess | access.READ |\n| Write-onlyaccess | access.WRITE |\n| Readandwriteaccess | access.RW |","| Incrementalaccess | access.INC |\n| --- | --- |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",1]
["| Description | AccessDescriptor |\n| --- | --- |\n| Read-onlyaccess | access.READ |\n| Write-onlyaccess | access.WRITE |\n| Readandwriteaccess | access.RW |","| AUTHENTICATEACCOUNTS | 644 |\n| --- | --- |\n| READSYNCSETTINGS | 426 |\n| INTERNET | 416 |",0]
["| ShadowMapResolution |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Method | 512 | 1024 | 2048 | 4096 |\n| ShadowMapping | 5.49ms | 5.53ms | 5.58ms | 5.98ms |\n| PCF | 6.25ms | 6.75ms | 6.82ms | 7.40ms |\n| VSM | 6.45ms | 6.81ms | 7.14ms | 8.00ms |\n| MSM | 6.53ms | 6.84ms | 7.09ms | 8.06ms |","| RBSM(Optimized) | 7.04ms | 7.70ms | 8.14ms | 9.40ms |\n| --- | --- | --- | --- | --- |\n| RBSM(Non-Optimized) | 7.07ms | 7.73ms | 8.20ms | 9.46ms |",1]
["| ShadowMapResolution |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Method | 512 | 1024 | 2048 | 4096 |\n| ShadowMapping | 5.49ms | 5.53ms | 5.58ms | 5.98ms |\n| PCF | 6.25ms | 6.75ms | 6.82ms | 7.40ms |\n| VSM | 6.45ms | 6.81ms | 7.14ms | 8.00ms |\n| MSM | 6.53ms | 6.84ms | 7.09ms | 8.06ms |","| ViewportResolution |  |  |\n| --- | --- | --- |\n| Method | 1280×720 | 1920×1080 |\n| ShadowMapping | 3.07ms | 3.67ms |\n| RBSM(Optimized) | 3.49ms | 4.29ms |\n| RBSM(Non-Optimized) | 3.51ms | 4.31ms |\n| ShadowVolumes | 140.20ms | 297.62ms |",0]
["| ShadowMapResolution |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Method | 512 | 1024 | 2048 | 4096 |\n| ShadowMapping | 5.49ms | 5.53ms | 5.58ms | 5.98ms |\n| PCF | 6.25ms | 6.75ms | 6.82ms | 7.40ms |","| VSM | 6.45ms | 6.81ms | 7.14ms | 8.00ms |\n| --- | --- | --- | --- | --- |\n| MSM | 6.53ms | 6.84ms | 7.09ms | 8.06ms |\n| RBSM(Optimized) | 7.04ms | 7.70ms | 8.14ms | 9.40ms |\n| RBSM(Non-Optimized) | 7.07ms | 7.73ms | 8.20ms | 9.46ms |",1]
["| ShadowMapResolution |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Method | 512 | 1024 | 2048 | 4096 |\n| ShadowMapping | 5.49ms | 5.53ms | 5.58ms | 5.98ms |\n| PCF | 6.25ms | 6.75ms | 6.82ms | 7.40ms |","| ShadowMapping | 3.07ms | 3.67ms |\n| --- | --- | --- |\n| RBSM(Optimized) | 3.49ms | 4.29ms |\n| RBSM(Non-Optimized) | 3.51ms | 4.31ms |\n| ShadowVolumes | 140.20ms | 297.62ms |",0]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 89.93 | 87.53 | 84.83 | 87.43 |\n| LTP | 90.98 | 88.63 | 86.07 | 88.56 |\n| LPQ | 89.96 | 87.38 | 84.48 | 87.27 |\n| POEM | 90.60 | 88.26 | 85.63 | 88.16 |\n| LGXP | 91.89 | 88.80 | 85.33 | 88.67 |\n| MsLBP | 90.78 | 88.45 | 85.87 | 88.37 |","| MsTLBP | 93.24 | 91.16 | 88.83 | 91.08 |\n| --- | --- | --- | --- | --- |\n| MsDLBP | 87.65 | 84.93 | 81.96 | 84.85 |\n| DCP-1 | 91.40 | 89.14 | 86.65 | 89.06 |\n| DCP-2 | 92.96 | 90.78 | 88.42 | 90.72 |\n| DCP | 93.22 | 91.21 | 88.93 | 91.12 |",1]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 89.93 | 87.53 | 84.83 | 87.43 |\n| LTP | 90.98 | 88.63 | 86.07 | 88.56 |\n| LPQ | 89.96 | 87.38 | 84.48 | 87.27 |\n| POEM | 90.60 | 88.26 | 85.63 | 88.16 |\n| LGXP | 91.89 | 88.80 | 85.33 | 88.67 |\n| MsLBP | 90.78 | 88.45 | 85.87 | 88.37 |","|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 18.62 | 19.12 | 20.07 | 19.27 |\n| LTP | 20.21 | 21.39 | 22.99 | 21.53 |\n| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |\n| POEM | 29.99 | 30.60 | 31.46 | 30.68 |\n| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |\n| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |\n| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |\n| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |\n| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |\n| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |\n| DCP | 21.78 | 22.49 | 23.59 | 22.62 |",0]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 89.93 | 87.53 | 84.83 | 87.43 |\n| LTP | 90.98 | 88.63 | 86.07 | 88.56 |\n| LPQ | 89.96 | 87.38 | 84.48 | 87.27 |\n| POEM | 90.60 | 88.26 | 85.63 | 88.16 |\n| LGXP | 91.89 | 88.80 | 85.33 | 88.67 |","| MsLBP | 90.78 | 88.45 | 85.87 | 88.37 |\n| --- | --- | --- | --- | --- |\n| MsTLBP | 93.24 | 91.16 | 88.83 | 91.08 |\n| MsDLBP | 87.65 | 84.93 | 81.96 | 84.85 |\n| DCP-1 | 91.40 | 89.14 | 86.65 | 89.06 |\n| DCP-2 | 92.96 | 90.78 | 88.42 | 90.72 |\n| DCP | 93.22 | 91.21 | 88.93 | 91.12 |",1]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 89.93 | 87.53 | 84.83 | 87.43 |\n| LTP | 90.98 | 88.63 | 86.07 | 88.56 |\n| LPQ | 89.96 | 87.38 | 84.48 | 87.27 |\n| POEM | 90.60 | 88.26 | 85.63 | 88.16 |\n| LGXP | 91.89 | 88.80 | 85.33 | 88.67 |","| POEM | 29.99 | 30.60 | 31.46 | 30.68 |\n| --- | --- | --- | --- | --- |\n| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |\n| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |\n| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |\n| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |\n| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |\n| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |\n| DCP | 21.78 | 22.49 | 23.59 | 22.62 |",0]
["| Parameter | Value |\n| --- | --- |\n| NumberofSimultaneousFiles | 20000 |","| LowerBoundonﬁlesize | 500Bytes |\n| --- | --- |\n| UpperBoundonﬁlesize | 100KBytes |\n| NumberofTransactions | 50000 |",1]
["| Parameter | Value |\n| --- | --- |\n| NumberofSimultaneousFiles | 20000 |","| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| Parameter | Value |\n| --- | --- |\n| NumberofSimultaneousFiles | 20000 |\n| LowerBoundonﬁlesize | 500Bytes |","| UpperBoundonﬁlesize | 100KBytes |\n| --- | --- |\n| NumberofTransactions | 50000 |",1]
["| Parameter | Value |\n| --- | --- |\n| NumberofSimultaneousFiles | 20000 |\n| LowerBoundonﬁlesize | 500Bytes |","| 400 | 4000 | 5.91GB |\n| --- | --- | --- |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| Method | H | S | G | HS | HG | SG | HSG |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursw/omask | 4.01 | 4.65 | 3.58 | 30.85 | 34.67 | 36.61 | 56.08 |","| Oursw/ocyclicloss | 3.93 | 4.48 | 2.87 | 25.34 | 28.82 | 30.96 | 52.87 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursrandomorder | 3.86 | 4.21 | 2.61 | 4.37 | 5.98 | 4.13 | 6.23 |\n| Ours | 3.86 | 4.21 | 2.61 | 4.03 | 6.51 | 4.04 | 6.09 |",1]
["| Method | H | S | G | HS | HG | SG | HSG |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursw/omask | 4.01 | 4.65 | 3.58 | 30.85 | 34.67 | 36.61 | 56.08 |","| Method | top-1 | top-5 | top-10 |\n| --- | --- | --- | --- |\n| Ours-cls | 75.90 | 94.55 | 97.85 |\n| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |\n| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",0]
["| Method | H | S | G | HS | HG | SG | HSG |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursw/omask | 4.01 | 4.65 | 3.58 | 30.85 | 34.67 | 36.61 | 56.08 |","| Oursw/ocyclicloss | 3.93 | 4.48 | 2.87 | 25.34 | 28.82 | 30.96 | 52.87 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursrandomorder | 3.86 | 4.21 | 2.61 | 4.37 | 5.98 | 4.13 | 6.23 |\n| Ours | 3.86 | 4.21 | 2.61 | 4.03 | 6.51 | 4.04 | 6.09 |",1]
["| Method | H | S | G | HS | HG | SG | HSG |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursw/omask | 4.01 | 4.65 | 3.58 | 30.85 | 34.67 | 36.61 | 56.08 |","| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| --- | --- | --- | --- |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |\n| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",0]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 |  | 2687 |  | 3236 |\n| data | 190 | 188 | 405 | 383 | 699 | 660 |  | 1162 |  | 1865 |  | 2885 |\n| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 |  | 969 |  | 1564 |\n| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 |  | 258 |  | 438 |\n| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 |  | 493 |\n| bcsstk33 | 10105 | 10097 | 21756 | 21508 | 34377 | 34178 | 56687 | 54860 |  | 78132 |  | 108505 |\n| whitaker3 | 126 | 126 | 382 | 380 | 670 | 656 | 1163 | 1093 |  | 1717 |  | 2567 |\n| crack | 184 | 183 | 370 | 362 | 696 | 678 | 1183 | 1092 |  | 1707 |  | 2566 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |","| vibrobox | 11538 | 10310 | 19267 | 19199 | 25190 | 24553 | 35514 | 32167 | 46331 | 41399 |  | 49521 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| bcsstk29 | 2818 | 2818 | 8035 | 8159 | 14212 | 13965 | 23808 | 21768 |  | 34886 |  | 57054 |\n| 4elt | 138 | 138 | 325 | 321 | 561 | 534 | 1009 | 939 |  | 1559 |  | 2596 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 950 | 944 | 1815 | 1802 | 3056 | 2906 | 5044 | 4223 |  | 5875 |\n| memplus | 5698 | 5489 | 10234 | 9559 | 12599 | 11785 | 14410 | 13241 | 16340 | 14395 |  | 16857 |\n| cs4 | 378 | 367 | 970 | 940 | 1520 | 1467 | 2285 | 2206 | 3521 | 3090 |  | 4169 |\n| bcsstk30 | 6347 | 6335 | 16617 | 16622 | 34761 | 34604 | 72028 | 71234 |  | 115770 |  | 173945 |\n| bcsstk31 | 2723 | 2701 | 7351 | 7444 | 13371 | 13417 | 24791 | 24277 | 42745 | 38086 |  | 60528 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4667 | 4667 | 9247 | 9492 | 20855 | 21490 | 37372 | 37673 | 72471 | 61144 |  | 95199 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 78 | 75 | 213 | 211 | 470 | 465 | 866 | 849 | 1493 | 1391 |  | 2211 |\n| wing | 803 | 787 | 1683 | 1666 | 2616 | 2589 | 4147 | 4131 | 6271 | 5902 |  | 8132 |\n| brack2 | 708 | 708 | 3027 | 3038 | 7144 | 7269 | 11969 | 11983 | 18496 | 17798 |  | 26557 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 |  | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",1]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 |  | 2687 |  | 3236 |\n| data | 190 | 188 | 405 | 383 | 699 | 660 |  | 1162 |  | 1865 |  | 2885 |\n| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 |  | 969 |  | 1564 |\n| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 |  | 258 |  | 438 |\n| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 |  | 493 |\n| bcsstk33 | 10105 | 10097 | 21756 | 21508 | 34377 | 34178 | 56687 | 54860 |  | 78132 |  | 108505 |\n| whitaker3 | 126 | 126 | 382 | 380 | 670 | 656 | 1163 | 1093 |  | 1717 |  | 2567 |\n| crack | 184 | 183 | 370 | 362 | 696 | 678 | 1183 | 1092 |  | 1707 |  | 2566 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |","| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 610 | 550 | 1186 | 1157 | 1755 | 1675 | 2267 | 2081 | 2786 | 2463 | 3270 | 3152 |\n| data | 183 | 181 | 369 | 368 | 640 | 628 | 1130 | 1086 | 1907 | 1777 | 3073 | 2798 |\n| 3elt | 87 | 87 | 198 | 197 | 336 | 330 | 572 | 560 | 1009 | 950 | 1645 | 1539 |\n| uk | 18 | 18 | 39 | 40 | 81 | 78 | 150 | 139 | 272 | 246 | 456 | 410 |\n| add32 | 10 | 10 | 33 | 33 | 63 | 65 | 117 | 117 | 212 | 212 | 491 | 493 |\n| bcsstk33 | 9914 | 9914 | 20198 | 20584 | 33971 | 33938 | 55273 | 54323 | 79159 | 77163 | 111659 | 106886 |\n| whitaker3 | 126 | 126 | 380 | 378 | 658 | 650 | 1110 | 1084 | 1741 | 1686 | 2663 | 2535 |\n| crack | 182 | 182 | 361 | 360 | 673 | 667 | 1096 | 1080 | 1749 | 1679 | 2681 | 2548 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19021 | 18778 | 24203 | 23930 | 34298 | 31235 | 42890 | 39592 | 50994 | 48200 |\n| bcsstk29 | 2818 | 2818 | 7936 | 7942 | 13619 | 13614 | 21914 | 20924 | 34906 | 33818 | 57220 | 54935 |\n| 4elt | 137 | 137 | 318 | 315 | 519 | 516 | 925 | 902 | 1574 | 1532 | 2673 | 2565 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 900 | 890 | 1708 | 1716 | 2830 | 2725 | 4227 | 4037 | 6127 | 5684 |\n| memplus | 5516 | 5267 | 10011 | 9299 | 12458 | 11555 | 14047 | 13078 | 15749 | 14170 | 18213 | 16454 |\n| cs4 | 363 | 356 | 955 | 936 | 1483 | 1467 | 2184 | 2126 | 3115 | 2995 | 4394 | 4116 |\n| bcsstk30 | 6251 | 6251 | 16186 | 16332 | 34146 | 34350 | 69520 | 70043 | 114960 | 113321 | 175723 | 170591 |\n| bcsstk31 | 2676 | 2676 | 7099 | 7152 | 12941 | 13058 | 23603 | 23254 | 38150 | 37459 | 60768 | 57534 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4622 | 4644 | 8454 | 8481 | 19678 | 20099 | 35208 | 35965 | 60441 | 59824 | 94238 | 91006 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 65 | 65 | 202 | 196 | 457 | 454 | 839 | 818 | 1398 | 1376 | 2229 | 2168 |\n| wing | 784 | 770 | 1654 | 1636 | 2528 | 2551 | 3998 | 4015 | 5915 | 5806 | 8228 | 7991 |\n| brack2 | 660 | 660 | 2745 | 2739 | 6671 | 6781 | 11358 | 11558 | 17256 | 17529 | 26321 | 26281 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 | 10583 | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2338 | 2336 | 7763 | 7851 | 15544 | 15721 | 25585 | 25808 | 39144 | 39369 | 57412 | 58031 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6373 | 6362 | 15036 | 15250 | 25025 | 25259 | 37433 | 38225 | 56345 | 56926 | 79296 | 80257 |\n| wave | 8598 | 8563 | 16662 | 16820 | 28615 | 28700 | 42482 | 42800 | 61788 | 62520 | 85658 | 86663 |\n| m14b | 3806 | 3802 | 12976 | 13136 | 25292 | 25679 | 41750 | 42608 | 65231 | 66793 | 98005 | 99063 |\n| auto | 9487 | 9450 | 25399 | 25883 | 44520 | 45039 | 75066 | 76488 | 120001 | 122378 | 171459 | 173968 |",0]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 |  | 2687 |  | 3236 |\n| data | 190 | 188 | 405 | 383 | 699 | 660 |  | 1162 |  | 1865 |  | 2885 |\n| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 |  | 969 |  | 1564 |\n| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 |  | 258 |  | 438 |\n| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 |  | 493 |","| bcsstk33 | 10105 | 10097 | 21756 | 21508 | 34377 | 34178 | 56687 | 54860 |  | 78132 |  | 108505 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| whitaker3 | 126 | 126 | 382 | 380 | 670 | 656 | 1163 | 1093 |  | 1717 |  | 2567 |\n| crack | 184 | 183 | 370 | 362 | 696 | 678 | 1183 | 1092 |  | 1707 |  | 2566 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19267 | 19199 | 25190 | 24553 | 35514 | 32167 | 46331 | 41399 |  | 49521 |\n| bcsstk29 | 2818 | 2818 | 8035 | 8159 | 14212 | 13965 | 23808 | 21768 |  | 34886 |  | 57054 |\n| 4elt | 138 | 138 | 325 | 321 | 561 | 534 | 1009 | 939 |  | 1559 |  | 2596 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 950 | 944 | 1815 | 1802 | 3056 | 2906 | 5044 | 4223 |  | 5875 |\n| memplus | 5698 | 5489 | 10234 | 9559 | 12599 | 11785 | 14410 | 13241 | 16340 | 14395 |  | 16857 |\n| cs4 | 378 | 367 | 970 | 940 | 1520 | 1467 | 2285 | 2206 | 3521 | 3090 |  | 4169 |\n| bcsstk30 | 6347 | 6335 | 16617 | 16622 | 34761 | 34604 | 72028 | 71234 |  | 115770 |  | 173945 |\n| bcsstk31 | 2723 | 2701 | 7351 | 7444 | 13371 | 13417 | 24791 | 24277 | 42745 | 38086 |  | 60528 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4667 | 4667 | 9247 | 9492 | 20855 | 21490 | 37372 | 37673 | 72471 | 61144 |  | 95199 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 78 | 75 | 213 | 211 | 470 | 465 | 866 | 849 | 1493 | 1391 |  | 2211 |\n| wing | 803 | 787 | 1683 | 1666 | 2616 | 2589 | 4147 | 4131 | 6271 | 5902 |  | 8132 |\n| brack2 | 708 | 708 | 3027 | 3038 | 7144 | 7269 | 11969 | 11983 | 18496 | 17798 |  | 26557 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 |  | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",1]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 |  | 2687 |  | 3236 |\n| data | 190 | 188 | 405 | 383 | 699 | 660 |  | 1162 |  | 1865 |  | 2885 |\n| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 |  | 969 |  | 1564 |\n| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 |  | 258 |  | 438 |\n| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 |  | 493 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| bcsstk32 | 4622 | 4644 | 8454 | 8481 | 19678 | 20099 | 35208 | 35965 | 60441 | 59824 | 94238 | 91006 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 65 | 65 | 202 | 196 | 457 | 454 | 839 | 818 | 1398 | 1376 | 2229 | 2168 |\n| wing | 784 | 770 | 1654 | 1636 | 2528 | 2551 | 3998 | 4015 | 5915 | 5806 | 8228 | 7991 |\n| brack2 | 660 | 660 | 2745 | 2739 | 6671 | 6781 | 11358 | 11558 | 17256 | 17529 | 26321 | 26281 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 | 10583 | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2338 | 2336 | 7763 | 7851 | 15544 | 15721 | 25585 | 25808 | 39144 | 39369 | 57412 | 58031 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6373 | 6362 | 15036 | 15250 | 25025 | 25259 | 37433 | 38225 | 56345 | 56926 | 79296 | 80257 |\n| wave | 8598 | 8563 | 16662 | 16820 | 28615 | 28700 | 42482 | 42800 | 61788 | 62520 | 85658 | 86663 |\n| m14b | 3806 | 3802 | 12976 | 13136 | 25292 | 25679 | 41750 | 42608 | 65231 | 66793 | 98005 | 99063 |\n| auto | 9487 | 9450 | 25399 | 25883 | 44520 | 45039 | 75066 | 76488 | 120001 | 122378 | 171459 | 173968 |",0]
["| A | B |\n| --- | --- |\n| 3 | 1 |","| True | True |\n| --- | --- |\n| 74 | 358 |\n| 53 | 112 |\n| 0.3 | 0.1 |\n| l2 | l2 |\n| None | None |\n| 64 | 64 |",1]
["| A | B |\n| --- | --- |\n| 3 | 1 |","| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |\n| --- | --- | --- | --- | --- |\n| 6 | 154 | 46 | 167 | 33 |\n| 8 | 154 | 46 | 168 | 32 |\n| 10 | 153 | 47 | 168 | 32 |\n| 12 | 150 | 50 | 169 | 31 |\n| 14 | 150 | 50 | 169 | 31 |\n| 16 | 148 | 52 | 168 | 32 |\n| 18 | 145 | 55 | 167 | 33 |\n| 20 | 146 | 54 | 167 | 33 |",0]
["| A | B |\n| --- | --- |\n| 3 | 1 |\n| True | True |\n| 74 | 358 |\n| 53 | 112 |\n| 0.3 | 0.1 |","| l2 | l2 |\n| --- | --- |\n| None | None |\n| 64 | 64 |",1]
["| A | B |\n| --- | --- |\n| 3 | 1 |\n| True | True |\n| 74 | 358 |\n| 53 | 112 |\n| 0.3 | 0.1 |","| 16 | 148 | 52 | 168 | 32 |\n| --- | --- | --- | --- | --- |\n| 18 | 145 | 55 | 167 | 33 |\n| 20 | 146 | 54 | 167 | 33 |",0]
["| Year | p(citations) | p(readership) | Total |\n| --- | --- | --- | --- |\n| 1999 | 0.3738 | 0.1951 | 8 |\n| 2000 | 0.1706 | 0.0555 | 10 |","| 2001 | 0.1988 | 0.3102 | 15 |\n| --- | --- | --- | --- |\n| 2003 | 0.1096 | 0.3459 | 9 |\n| 2004 | 0.4157 | 0.1629 | 10 |\n| 2005 | 0.2115 | 0.3178 | 17 |\n| 2006 | 0.3230 | 0.2259 | 14 |\n| 2007 | 0.1570 | 0.1482 | 15 |\n| 2008 | 0.2112 | 0.4029 | 14 |\n| 2009 | 0.1199 | 0.0531 | 11 |\n| 2010 | 0.1098 | 0.3501 | 21 |\n| 2011 | 0.2064 | 0.2207 | 18 |\n| 2012 | 0.1154 | 0.4622 | 17 |\n| 2013 | 0.4370 | 0.1918 | 19 |\n| 2014 | 0.2785 | 0.0731 | 13 |\n| 2015 | 0.4661 | 0.1684 | 11 |\n| 2016 | 0.0842 | 0.3098 | 17 |\n| Total | - | - | 239 |",1]
["| Year | p(citations) | p(readership) | Total |\n| --- | --- | --- | --- |\n| 1999 | 0.3738 | 0.1951 | 8 |\n| 2000 | 0.1706 | 0.0555 | 10 |","| year | nr.papers | nr.authors | nr.links | avg.clustering |\n| --- | --- | --- | --- | --- |\n| 2001 | 4 | 9 | 6 | 0.37 |\n| 2002 | 3 | 10 | 13 | 0.8 |\n| 2003 | 5 | 12 | 9 | 0.4 |\n| 2004 | 13 | 39 | 47 | 0.65 |\n| 2005 | 7 | 22 | 26 | 0.81 |\n| 2006 | 11 | 33 | 39 | 0.73 |\n| 2007 | 4 | 15 | 24 | 1.0 |\n| 2008 | 7 | 15 | 9 | 0.2 |\n| 2009 | 10 | 34 | 60 | 0.68 |\n| 2010 | 8 | 21 | 19 | 0.61 |\n| 2011 | 8 | 32 | 59 | 0.80 |\n| 2012 | 6 | 26 | 56 | 0.92 |\n| 2013 | 5 | 18 | 31 | 0.86 |\n| 2014 | 6 | 16 | 13 | 0.85 |\n| 2015 | 9 | 24 | 23 | 0.58 |\n| 2016 | 17 | 60 | 114 | 0.75 |",0]
["| Year | p(citations) | p(readership) | Total |\n| --- | --- | --- | --- |\n| 1999 | 0.3738 | 0.1951 | 8 |\n| 2000 | 0.1706 | 0.0555 | 10 |\n| 2001 | 0.1988 | 0.3102 | 15 |\n| 2003 | 0.1096 | 0.3459 | 9 |\n| 2004 | 0.4157 | 0.1629 | 10 |\n| 2005 | 0.2115 | 0.3178 | 17 |\n| 2006 | 0.3230 | 0.2259 | 14 |\n| 2007 | 0.1570 | 0.1482 | 15 |\n| 2008 | 0.2112 | 0.4029 | 14 |\n| 2009 | 0.1199 | 0.0531 | 11 |\n| 2010 | 0.1098 | 0.3501 | 21 |","| 2011 | 0.2064 | 0.2207 | 18 |\n| --- | --- | --- | --- |\n| 2012 | 0.1154 | 0.4622 | 17 |\n| 2013 | 0.4370 | 0.1918 | 19 |\n| 2014 | 0.2785 | 0.0731 | 13 |\n| 2015 | 0.4661 | 0.1684 | 11 |\n| 2016 | 0.0842 | 0.3098 | 17 |\n| Total | - | - | 239 |",1]
["| Year | p(citations) | p(readership) | Total |\n| --- | --- | --- | --- |\n| 1999 | 0.3738 | 0.1951 | 8 |\n| 2000 | 0.1706 | 0.0555 | 10 |\n| 2001 | 0.1988 | 0.3102 | 15 |\n| 2003 | 0.1096 | 0.3459 | 9 |\n| 2004 | 0.4157 | 0.1629 | 10 |\n| 2005 | 0.2115 | 0.3178 | 17 |\n| 2006 | 0.3230 | 0.2259 | 14 |\n| 2007 | 0.1570 | 0.1482 | 15 |\n| 2008 | 0.2112 | 0.4029 | 14 |\n| 2009 | 0.1199 | 0.0531 | 11 |\n| 2010 | 0.1098 | 0.3501 | 21 |","| 2014 | 6 | 16 | 13 | 0.85 |\n| --- | --- | --- | --- | --- |\n| 2015 | 9 | 24 | 23 | 0.58 |\n| 2016 | 17 | 60 | 114 | 0.75 |",0]
["| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |","| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",1]
["| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |","| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |\n| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 13 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 14 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |",0]
["| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |","| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",1]
["| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |","| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 13 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 14 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |","| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| --- | --- | --- | --- |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 7.80 | 7.15 | 7.21 |\n| GeneralGray-World | 7.61 | 6.85 | 6.92 |\n| 1st-orderGray-Edge | 6.14 | 5.32 | 5.49 |\n| 2nd-orderGray-Edge | 6.89 | 5.84 | 6.06 |\n| Greenstabilityassumptionresults |  |  |  |\n| Shades-of-Gray | 6.80 | 5.30 | 5.77 |\n| GeneralGray-World | 6.80 | 5.30 | 5.77 |\n| 1st-orderGray-Edge | 5.97 | 4.64 | 5.10 |\n| 2nd-orderGray-Edge | 6.69 | 5.17 | 5.72 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |","| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 13.32 | 11.57 | 12.10 |\n| GeneralGray-World | 13.69 | 12.11 | 12.55 |\n| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |\n| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 |\n| Greenstabilityassumptionresults |  |  |  |\n| Shades-of-Gray | 12.68 | 10.50 | 11.25 |\n| GeneralGray-World | 12.68 | 10.50 | 11.25 |\n| 1st-orderGray-Edge | 13.41 | 11.04 | 11.87 |\n| 2nd-orderGray-Edge | 12.83 | 10.70 | 11.44 |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |","| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| --- | --- | --- | --- |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 7.80 | 7.15 | 7.21 |\n| GeneralGray-World | 7.61 | 6.85 | 6.92 |\n| 1st-orderGray-Edge | 6.14 | 5.32 | 5.49 |\n| 2nd-orderGray-Edge | 6.89 | 5.84 | 6.06 |\n| Greenstabilityassumptionresults |  |  |  |\n| Shades-of-Gray | 6.80 | 5.30 | 5.77 |\n| GeneralGray-World | 6.80 | 5.30 | 5.77 |\n| 1st-orderGray-Edge | 5.97 | 4.64 | 5.10 |\n| 2nd-orderGray-Edge | 6.69 | 5.17 | 5.72 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |","| GeneralGray-World | 12.68 | 10.50 | 11.25 |\n| --- | --- | --- | --- |\n| 1st-orderGray-Edge | 13.41 | 11.04 | 11.87 |\n| 2nd-orderGray-Edge | 12.83 | 10.70 | 11.44 |",0]
["| Language | MessageDistribution<br>EmoticonsNoEmoticonsRatioWith | EmoticonDistribution<br>PositiveNegativeAmbiguous |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Swedish | 4064 | 14975 | 0.21 | 0.46 | 0.27 | 0.27 |","| German | 21294 | 54869 | 0.28 | 0.65 | 0.16 | 0.19 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Italian | 46931 | 158858 | 0.23 | 0.34 | 0.50 | 0.16 |\n| English | 18327 | 75869 | 0.20 | 0.40 | 0.30 | 0.30 |",1]
["| Language | MessageDistribution<br>EmoticonsNoEmoticonsRatioWith | EmoticonDistribution<br>PositiveNegativeAmbiguous |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Swedish | 4064 | 14975 | 0.21 | 0.46 | 0.27 | 0.27 |","| Science |  |  |  |\n| --- | --- | --- | --- |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.14 | 0.19 | 0.67 |\n| German | 0.65 | 0.16 | 0.19 |\n| Italian | 0.53 | 0.25 | 0.22 |\n| English | 0.60 | 0.26 | 0.14 |\n| Politics |  |  |  |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.48 | 0.28 | 0.24 |\n| German | 0.34 | 0.34 | 0.31 |\n| Italian | 0.28 | 0.57 | 0.15 |\n| English | 0.37 | 0.31 | 0.32 |",0]
["| Language | MessageDistribution<br>EmoticonsNoEmoticonsRatioWith | EmoticonDistribution<br>PositiveNegativeAmbiguous |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Swedish | 4064 | 14975 | 0.21 | 0.46 | 0.27 | 0.27 |\n| German | 21294 | 54869 | 0.28 | 0.65 | 0.16 | 0.19 |","| Italian | 46931 | 158858 | 0.23 | 0.34 | 0.50 | 0.16 |\n| --- | --- | --- | --- | --- | --- | --- |\n| English | 18327 | 75869 | 0.20 | 0.40 | 0.30 | 0.30 |",1]
["| Language | MessageDistribution<br>EmoticonsNoEmoticonsRatioWith | EmoticonDistribution<br>PositiveNegativeAmbiguous |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Swedish | 4064 | 14975 | 0.21 | 0.46 | 0.27 | 0.27 |\n| German | 21294 | 54869 | 0.28 | 0.65 | 0.16 | 0.19 |","| Swedish | 0.14 | 0.19 | 0.67 |\n| --- | --- | --- | --- |\n| German | 0.65 | 0.16 | 0.19 |\n| Italian | 0.53 | 0.25 | 0.22 |\n| English | 0.60 | 0.26 | 0.14 |\n| Politics |  |  |  |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.48 | 0.28 | 0.24 |\n| German | 0.34 | 0.34 | 0.31 |\n| Italian | 0.28 | 0.57 | 0.15 |\n| English | 0.37 | 0.31 | 0.32 |",0]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |\n| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |\n| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |\n| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |\n| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |\n| FCR2-c | 61.38 | 94.72 | 98.80 |\n| FCR1-c | 59.50 | 95.72 | 99.40 |\n| MLR | 50.31 | 93.08 | 97.79 |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |\n| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |\n| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |","| MLR+CFV | 44.78 | 94.72 | 97.99 |\n| --- | --- | --- | --- |\n| MLR+CFV+FCR1-c | 53.33 | 96.48 | 99.00 |\n| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",1]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |\n| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |\n| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |\n| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |\n| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |\n| FCR2-c | 61.38 | 94.72 | 98.80 |\n| FCR1-c | 59.50 | 95.72 | 99.40 |\n| MLR | 50.31 | 93.08 | 97.79 |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |\n| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |\n| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |\n| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |\n| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |\n| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |\n| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |\n| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |\n| FCR2-c | 61.38 | 94.72 | 98.80 |\n| FCR1-c | 59.50 | 95.72 | 99.40 |\n| MLR | 50.31 | 93.08 | 97.79 |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |","| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |\n| --- | --- | --- | --- |\n| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |\n| MLR+CFV | 44.78 | 94.72 | 97.99 |\n| MLR+CFV+FCR1-c | 53.33 | 96.48 | 99.00 |\n| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",1]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |\n| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |\n| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |\n| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |\n| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |\n| FCR2-c | 61.38 | 94.72 | 98.80 |\n| FCR1-c | 59.50 | 95.72 | 99.40 |\n| MLR | 50.31 | 93.08 | 97.79 |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |","| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| --- | --- | --- | --- |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["| h | H | P | N | X |  |\n| --- | --- | --- | --- | --- | --- |\n| h | 2 | -4 | 0 | 0 | 0 |\n| H | -4 | -3 | 0 | 0 | 0 |","| P | 0 | 0 | 1 | -1 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| N | 0 | 0 | -1 | 1 | 0 |\n| X | 0 | 0 | 0 | 0 | 0 |",1]
["| h | H | P | N | X |  |\n| --- | --- | --- | --- | --- | --- |\n| h | 2 | -4 | 0 | 0 | 0 |\n| H | -4 | -3 | 0 | 0 | 0 |","| n/V | ... | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ... |\n| 2 | ... | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | ... |\n| 3 | ... | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | ... |\n| 4 | ... | 0 | 1 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | ... |\n| 5 | ... | 1 | 0 | 4 | 0 | 6 | 0 | 4 | 0 | 1 | ... |",0]
["| h | H | P | N | X |  |\n| --- | --- | --- | --- | --- | --- |\n| h | 2 | -4 | 0 | 0 | 0 |\n| H | -4 | -3 | 0 | 0 | 0 |\n| P | 0 | 0 | 1 | -1 | 0 |","| N | 0 | 0 | -1 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| X | 0 | 0 | 0 | 0 | 0 |",1]
["| h | H | P | N | X |  |\n| --- | --- | --- | --- | --- | --- |\n| h | 2 | -4 | 0 | 0 | 0 |\n| H | -4 | -3 | 0 | 0 | 0 |\n| P | 0 | 0 | 1 | -1 | 0 |","| 3 | ... | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | ... | 0 | 1 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | ... |\n| 5 | ... | 1 | 0 | 4 | 0 | 6 | 0 | 4 | 0 | 1 | ... |",0]
["| Method | MeanAbsoluteError |\n| --- | --- |\n| LearningtoCount | 493.4 |\n| Density-awareDetection | 655.7 |\n| FHSc | 468.0 |","| Cross-SceneCounting | 467.0 |\n| --- | --- |\n| Proposed | 452.5 |",1]
["| Method | MeanAbsoluteError |\n| --- | --- |\n| LearningtoCount | 493.4 |\n| Density-awareDetection | 655.7 |\n| FHSc | 468.0 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| Headdetection | 655.7 | 697.8 |\n| Densitymap+MESA | 493.4 | 487.1 |\n| Multi-sourcefeatures | 419.5 | 541.6 |\n| CrowdCNN | 467.0 | 498.5 |\n| Multi-columnCNN | 377.6 | 509.1 |\n| ConvLSTM-nt | 284.5 | 297.1 |\n| Shangetal. | 270.3 | - |",0]
["| Method | MeanAbsoluteError |\n| --- | --- |\n| LearningtoCount | 493.4 |\n| Density-awareDetection | 655.7 |","| FHSc | 468.0 |\n| --- | --- |\n| Cross-SceneCounting | 467.0 |\n| Proposed | 452.5 |",1]
["| Method | MeanAbsoluteError |\n| --- | --- |\n| LearningtoCount | 493.4 |\n| Density-awareDetection | 655.7 |","| Multi-sourcefeatures | 419.5 | 541.6 |\n| --- | --- | --- |\n| CrowdCNN | 467.0 | 498.5 |\n| Multi-columnCNN | 377.6 | 509.1 |\n| ConvLSTM-nt | 284.5 | 297.1 |\n| Shangetal. | 270.3 | - |",0]
["| Accuracy(Realsequence | 50.0 |\n| --- | --- |\n| Ourmethod | 15.1 |","| GAN | 10.2 |\n| --- | --- |\n| LSTM | 1.4 |\n| L1 | 0.3 |",1]
["| Accuracy(Realsequence | 50.0 |\n| --- | --- |\n| Ourmethod | 15.1 |","| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |\n| MT+LSTM | TranslatedALL | 0.541 |\n| Parameter-sharingLSTM | ALL | 0.542 |\n| Average | – | 0.581 |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["| Accuracy(Realsequence | 50.0 |\n| --- | --- |\n| Ourmethod | 15.1 |\n| GAN | 10.2 |","| LSTM | 1.4 |\n| --- | --- |\n| L1 | 0.3 |",1]
["| Accuracy(Realsequence | 50.0 |\n| --- | --- |\n| Ourmethod | 15.1 |\n| GAN | 10.2 |","| Average | – | 0.581 |\n| --- | --- | --- |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |","| in | 2106 | 11109 | 0.48 | 0.28 |\n| --- | --- | --- | --- | --- |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |\n| this | 713 | 5176 | 0.33 | 0.39 |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |","| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 95617 | 215306 | 0.36 | 0.36 |\n| , | 3239 | 9945 | 0.50 | 0.43 |\n| the | 2577 | 8383 | 0.40 | 0.46 |\n| a | 1948 | 6057 | 0.40 | 0.49 |\n| of | 1335 | 6048 | 0.34 | 0.46 |\n| and | 1290 | 6143 | 0.45 | 0.48 |\n| to | 1251 | 4197 | 0.44 | 0.43 |\n| is | 737 | 3502 | 0.45 | 0.39 |\n| that | 573 | 2603 | 0.46 | 0.44 |\n| in | 381 | 2507 | 0.52 | 0.33 |\n| an | 243 | 1052 | 0.45 | 0.46 |\n| with | 212 | 1479 | 0.45 | 0.44 |\n| as | 211 | 1662 | 0.48 | 0.39 |\n| for | 178 | 1340 | 0.47 | 0.39 |\n| its | 163 | 1294 | 0.29 | 0.56 |\n| you | 136 | 1054 | 0.43 | 0.36 |\n| this | 120 | 1076 | 0.32 | 0.51 |\n| are | 101 | 732 | 0.38 | 0.54 |\n| on | 96 | 870 | 0.49 | 0.36 |\n| has | 92 | 692 | 0.52 | 0.35 |\n| The | 87 | 335 | 0.52 | 0.39 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |\n| in | 2106 | 11109 | 0.48 | 0.28 |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |","| this | 713 | 5176 | 0.33 | 0.39 |\n| --- | --- | --- | --- | --- |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |\n| in | 2106 | 11109 | 0.48 | 0.28 |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |","| has | 92 | 692 | 0.52 | 0.35 |\n| --- | --- | --- | --- | --- |\n| The | 87 | 335 | 0.52 | 0.39 |",0]
["| Window-Size |\n| --- |\n| 2000<br>10000 |\n| 2000<br>10000 |","| 2000<br>10000 |\n| --- |\n| 2000<br>10000 |\n| 2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000 |",1]
["| Window-Size |\n| --- |\n| 2000<br>10000 |\n| 2000<br>10000 |","|  | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | W9 | W10 | W11 | W12 | W13 | W14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W1 | 0 | 8.4 | 14.2 | 8.5 | 14.1 | 15.3 | 11 | 20 | 17.1 | 13 | 13 | 13.2 | 6.2 | 11.2 |\n| W2 | 8.4 | 0 | 7.2 | 13.8 | 8.5 | 14.7 | 17.8 | 15.7 | 11 | 7.2 | 7.8 | 7.7 | 11.2 | 6.2 |\n| W3 | 14.2 | 7.2 | 0 | 14.2 | 7.2 | 14.8 | 18.2 | 15.8 | 11.2 | 8.2 | 8.2 | 7.8 | 14.2 | 5.8 |\n| W4 | 8.5 | 13.8 | 14.2 | 0 | 8.4 | 15.9 | 9.6 | 19.7 | 14.3 | 13 | 13 | 14.7 | 8.2 | 11.2 |\n| W5 | 14.1 | 8.5 | 7.2 | 8.4 | 0 | 13.2 | 16.7 | 15.7 | 9.7 | 7.2 | 6.7 | 8.2 | 14.1 | 7.1 |\n| W6 | 15.3 | 14.7 | 14.8 | 15.9 | 13.2 | 0 | 18.7 | 18.9 | 15.5 | 9.4 | 13.7 | 7 | 17.3 | 11.8 |\n| W7 | 11 | 17.8 | 18.2 | 9.7 | 16.7 | 18.7 | 0 | 20 | 11.2 | 17.1 | 15.6 | 17.8 | 10.2 | 13.8 |\n| W8 | 20 | 15.7 | 15.8 | 19.7 | 15.7 | 18.9 | 20 | 0 | 14.5 | 15.8 | 17.5 | 16.5 | 18.6 | 15.7 |\n| W9 | 17.1 | 11 | 11.2 | 14.3 | 9.7 | 15.5 | 11.2 | 14.5 | 0 | 10 | 9.2 | 11.1 | 16.3 | 9.7 |\n| W10 | 13 | 7.2 | 8.2 | 13.1 | 7.2 | 9.4 | 17.1 | 15.8 | 10 | 0 | 8.5 | 8 | 13 | 7.8 |\n| W11 | 13.1 | 7.8 | 8.2 | 13.1 | 6.7 | 13.7 | 15.7 | 17.5 | 9.2 | 8.5 | 0 | 8.4 | 11.7 | 5.2 |\n| W12 | 13.2 | 7.7 | 7.8 | 14.7 | 8.2 | 7 | 17.8 | 16.5 | 11.1 | 8.1 | 8.4 | 0 | 12.1 | 6.8 |\n| W13 | 6.2 | 11.2 | 14.2 | 8.2 | 14.1 | 17.3 | 10.2 | 18.6 | 16.3 | 13.1 | 11.7 | 12.1 | 0 | 9.8 |\n| W14 | 11.2 | 6.2 | 5.8 | 11.2 | 7.1 | 11.8 | 13.8 | 15.7 | 9.6 | 7.8 | 5.2 | 6.8 | 9.8 | 0 |",0]
["| Window-Size |\n| --- |\n| 2000<br>10000 |\n| 2000<br>10000 |","| 2000<br>10000 |\n| --- |\n| 2000<br>10000 |\n| 2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000 |",1]
["| Window-Size |\n| --- |\n| 2000<br>10000 |\n| 2000<br>10000 |","| W6 | 15.3 | 14.7 | 14.8 | 15.9 | 13.2 | 0 | 18.7 | 18.9 | 15.5 | 9.4 | 13.7 | 7 | 17.3 | 11.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W7 | 11 | 17.8 | 18.2 | 9.7 | 16.7 | 18.7 | 0 | 20 | 11.2 | 17.1 | 15.6 | 17.8 | 10.2 | 13.8 |\n| W8 | 20 | 15.7 | 15.8 | 19.7 | 15.7 | 18.9 | 20 | 0 | 14.5 | 15.8 | 17.5 | 16.5 | 18.6 | 15.7 |\n| W9 | 17.1 | 11 | 11.2 | 14.3 | 9.7 | 15.5 | 11.2 | 14.5 | 0 | 10 | 9.2 | 11.1 | 16.3 | 9.7 |\n| W10 | 13 | 7.2 | 8.2 | 13.1 | 7.2 | 9.4 | 17.1 | 15.8 | 10 | 0 | 8.5 | 8 | 13 | 7.8 |\n| W11 | 13.1 | 7.8 | 8.2 | 13.1 | 6.7 | 13.7 | 15.7 | 17.5 | 9.2 | 8.5 | 0 | 8.4 | 11.7 | 5.2 |\n| W12 | 13.2 | 7.7 | 7.8 | 14.7 | 8.2 | 7 | 17.8 | 16.5 | 11.1 | 8.1 | 8.4 | 0 | 12.1 | 6.8 |\n| W13 | 6.2 | 11.2 | 14.2 | 8.2 | 14.1 | 17.3 | 10.2 | 18.6 | 16.3 | 13.1 | 11.7 | 12.1 | 0 | 9.8 |\n| W14 | 11.2 | 6.2 | 5.8 | 11.2 | 7.1 | 11.8 | 13.8 | 15.7 | 9.6 | 7.8 | 5.2 | 6.8 | 9.8 | 0 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Department | median#articles | Department | avg#articles |\n| --- | --- | --- | --- |\n| CRETEECE | 20 | AUTHDI | 32.6 |\n| AUTHDI | 18 | CRETEECE | 31.1 |\n| CRETECSD | 18 | CRETECSD | 28.6 |\n| UTHECE | 15 | PATRASECE | 25.0 |","| AEGEANICSD | 14 | NTUAECE | 21.7 |\n| --- | --- | --- | --- |\n| PELOPDI | 14 | AEGEANICSD | 20.6 |\n| AUTHECE | 13 | PELOPDI | 19.7 |\n| IOANCSE | 13 | UTHECE | 19.7 |\n| PATRASECE | 13 | AUTHECE | 19.4 |\n| UTHDIB | 12 | IONIODI | 18.8 |\n| NTUAECE | 11 | IOANCSE | 18.0 |\n| UADI | 11 | UADI | 17.4 |\n| AUEBDI | 10 | AUEBDI | 17.2 |\n| IONIODI | 9 | UNIPIDI | 12.8 |\n| UNIPIDI | 7 | UTHDIB | 12.2 |",1]
["| Department | median#articles | Department | avg#articles |\n| --- | --- | --- | --- |\n| CRETEECE | 20 | AUTHDI | 32.6 |\n| AUTHDI | 18 | CRETEECE | 31.1 |\n| CRETECSD | 18 | CRETECSD | 28.6 |\n| UTHECE | 15 | PATRASECE | 25.0 |","| Department | Kendalτ |\n| --- | --- |\n| AEGEANICSD | 0.27 |\n| AUEBDI | 0.17 |\n| AUTHDI | 0.37 |\n| AUTHECE | 0.34 |\n| CRETECSD | 0.40 |\n| CRETEECE | 0.50 |\n| IOANCSE | 0.58 |\n| IONIODI | 0.63 |\n| NTUAECE | −0.04 |\n| PATRASECE | 0.03 |\n| PELOPDI | 0.71 |\n| UADI | 0.39 |\n| UNIPIDI | 0.11 |\n| UTHDIB | 0.54 |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",0]
["| Department | median#articles | Department | avg#articles |\n| --- | --- | --- | --- |\n| CRETEECE | 20 | AUTHDI | 32.6 |\n| AUTHDI | 18 | CRETEECE | 31.1 |\n| CRETECSD | 18 | CRETECSD | 28.6 |\n| UTHECE | 15 | PATRASECE | 25.0 |\n| AEGEANICSD | 14 | NTUAECE | 21.7 |\n| PELOPDI | 14 | AEGEANICSD | 20.6 |\n| AUTHECE | 13 | PELOPDI | 19.7 |\n| IOANCSE | 13 | UTHECE | 19.7 |\n| PATRASECE | 13 | AUTHECE | 19.4 |\n| UTHDIB | 12 | IONIODI | 18.8 |\n| NTUAECE | 11 | IOANCSE | 18.0 |\n| UADI | 11 | UADI | 17.4 |\n| AUEBDI | 10 | AUEBDI | 17.2 |","| IONIODI | 9 | UNIPIDI | 12.8 |\n| --- | --- | --- | --- |\n| UNIPIDI | 7 | UTHDIB | 12.2 |",1]
["| Department | median#articles | Department | avg#articles |\n| --- | --- | --- | --- |\n| CRETEECE | 20 | AUTHDI | 32.6 |\n| AUTHDI | 18 | CRETEECE | 31.1 |\n| CRETECSD | 18 | CRETECSD | 28.6 |\n| UTHECE | 15 | PATRASECE | 25.0 |\n| AEGEANICSD | 14 | NTUAECE | 21.7 |\n| PELOPDI | 14 | AEGEANICSD | 20.6 |\n| AUTHECE | 13 | PELOPDI | 19.7 |\n| IOANCSE | 13 | UTHECE | 19.7 |\n| PATRASECE | 13 | AUTHECE | 19.4 |\n| UTHDIB | 12 | IONIODI | 18.8 |\n| NTUAECE | 11 | IOANCSE | 18.0 |\n| UADI | 11 | UADI | 17.4 |\n| AUEBDI | 10 | AUEBDI | 17.2 |","| PELOPDI | 0.71 |\n| --- | --- |\n| UADI | 0.39 |\n| UNIPIDI | 0.11 |\n| UTHDIB | 0.54 |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",0]
["| Dataset | MicrosoftLibra | DBLP-Cit | APS |\n| --- | --- | --- | --- |\n| InputWindow | (1900-2013) | (1900-2013) | (1900-2013) |","| #papers | 2323235 | 1558503 | 463347 |\n| --- | --- | --- | --- |\n| #authors | 1278407 | 914053 | 320964 |\n| #totalcitationlinks | 10003121 | 2062896 | 4689142 |",1]
["| Dataset | MicrosoftLibra | DBLP-Cit | APS |\n| --- | --- | --- | --- |\n| InputWindow | (1900-2013) | (1900-2013) | (1900-2013) |","| Dataset | No.of<br>Pages | No.of<br>SFAs | Sizeas: |  |\n| --- | --- | --- | --- | --- |\n| SFAs | Text |  |  |  |\n| Cong.Acts(CA) | 38 | 1590 | 533MB | 90kB |\n| EnglishLit.(LT) | 32 | 1211 | 524MB | 78kB |\n| DBPapers(DB) | 16 | 627 | 359MB | 54kB |",0]
["| Dataset | MicrosoftLibra | DBLP-Cit | APS |\n| --- | --- | --- | --- |\n| InputWindow | (1900-2013) | (1900-2013) | (1900-2013) |\n| #papers | 2323235 | 1558503 | 463347 |","| #authors | 1278407 | 914053 | 320964 |\n| --- | --- | --- | --- |\n| #totalcitationlinks | 10003121 | 2062896 | 4689142 |",1]
["| Dataset | MicrosoftLibra | DBLP-Cit | APS |\n| --- | --- | --- | --- |\n| InputWindow | (1900-2013) | (1900-2013) | (1900-2013) |\n| #papers | 2323235 | 1558503 | 463347 |","| Cong.Acts(CA) | 38 | 1590 | 533MB | 90kB |\n| --- | --- | --- | --- | --- |\n| EnglishLit.(LT) | 32 | 1211 | 524MB | 78kB |\n| DBPapers(DB) | 16 | 627 | 359MB | 54kB |",0]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 14.5 | 32.5 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| ∗<br>0.0A0 | 14.6 | 32.9 | 44.6 | 33.1 | 26.3 | 54.4 | 56.9 | 35.4 |\n| 0.4A0 | 14.1 | 32.2 | 44.4 | 33.0 | 25.0 | 54.2 | 56.1 | 34.9 |\n| 1.0A0 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |","| 0.0A2 | 13.7 | 32.4 | 44.7 | 32.9 | 26.1 | 54.3 | 56.3 | 35.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.4A2 | 13.4 | 32.2 | 44.1 | 31.9 | 25.3 | 54.2 | 56.2 | 34.7 |\n| 1.0A2 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |",1]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 14.5 | 32.5 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| ∗<br>0.0A0 | 14.6 | 32.9 | 44.6 | 33.1 | 26.3 | 54.4 | 56.9 | 35.4 |\n| 0.4A0 | 14.1 | 32.2 | 44.4 | 33.0 | 25.0 | 54.2 | 56.1 | 34.9 |\n| 1.0A0 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |","| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 13.0 | 30.8 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| ∗<br>0.0A0 | 13.3 | 31.7 | 44.5 | 32.0 | 25.1 | 54.4 | 54.8 | 34.4 |\n| 0.4A0 | 12.5 | 30.5 | 42.2 | 31.0 | 23.0 | 52.9 | 53.9 | 33.0 |\n| 1.0A0 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| 0.0A2 | 14.8 | 31.7 | 46.3 | 31.6 | 27.5 | 54.3 | 54.8 | 35.1 |\n| 0.4A2 | 12.2 | 30.7 | 42.0 | 31.1 | 22.5 | 53.1 | 54.4 | 33.0 |\n| 1.0A2 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |",0]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 14.5 | 32.5 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| ∗<br>0.0A0 | 14.6 | 32.9 | 44.6 | 33.1 | 26.3 | 54.4 | 56.9 | 35.4 |\n| 0.4A0 | 14.1 | 32.2 | 44.4 | 33.0 | 25.0 | 54.2 | 56.1 | 34.9 |","| 1.0A0 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.0A2 | 13.7 | 32.4 | 44.7 | 32.9 | 26.1 | 54.3 | 56.3 | 35.0 |\n| 0.4A2 | 13.4 | 32.2 | 44.1 | 31.9 | 25.3 | 54.2 | 56.2 | 34.7 |\n| 1.0A2 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |",1]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 14.5 | 32.5 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| ∗<br>0.0A0 | 14.6 | 32.9 | 44.6 | 33.1 | 26.3 | 54.4 | 56.9 | 35.4 |\n| 0.4A0 | 14.1 | 32.2 | 44.4 | 33.0 | 25.0 | 54.2 | 56.1 | 34.9 |","| 0.4A2 | 12.2 | 30.7 | 42.0 | 31.1 | 22.5 | 53.1 | 54.4 | 33.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0A2 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |",0]
["| Shell1(28) | Shell2(28) | Shell3(28) | Combined(28×3) |\n| --- | --- | --- | --- |\n| 15.9<br>◦<br>25.7<br>◦<br>19.2<br>◦<br>23.6<br>◦<br>21.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.1 | 15.8<br>◦<br>25.7<br>◦<br>19.7<br>◦<br>24.3<br>◦<br>19.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.4<br>◦<br>26.3 | 16.7<br>◦<br>25.7<br>◦<br>19.3<br>◦<br>23.4<br>◦<br>21.1<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.9 | 15.1<br>◦<br>7.4<br>◦<br>4.7<br>◦<br>12.3<br>◦<br>10.5<br>◦<br>13.3<br>◦<br>14.0<br>◦<br>14.0<br>◦<br>14.4 |","| 25.7<br>◦<br>27.8 | 25.7<br>◦<br>27.8 | 25.7<br>◦<br>27.8 | 15.6<br>◦<br>16.2 |\n| --- | --- | --- | --- |\n| Shell1(90) | Shell2(90) | Shell3(90) | Combined(90×3) |\n| 10.8<br>◦<br>12.9<br>◦<br>10.4<br>◦<br>13.3<br>◦<br>13.5<br>◦<br>13.6<br>◦<br>14.6 | 10.3<br>◦<br>13.3<br>◦<br>9.7<br>◦<br>13.5<br>◦<br>13.5<br>◦<br>13.5<br>◦<br>14.6 | 10.5<br>◦<br>12.6<br>◦<br>10.4<br>◦<br>13.3<br>◦<br>13.5<br>◦<br>13.5<br>◦<br>14.7 | 2.4<br>◦<br>7.2<br>◦<br>4.6<br>◦<br>7.9<br>◦<br>7.8<br>◦<br>7.8<br>◦<br>8.4 |\n| 15.1<br>◦<br>15.7 | 15.1<br>◦<br>15.7 | 15.1<br>◦<br>15.7 | notavailable<br>notavailable |",1]
["| Shell1(28) | Shell2(28) | Shell3(28) | Combined(28×3) |\n| --- | --- | --- | --- |\n| 15.9<br>◦<br>25.7<br>◦<br>19.2<br>◦<br>23.6<br>◦<br>21.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.1 | 15.8<br>◦<br>25.7<br>◦<br>19.7<br>◦<br>24.3<br>◦<br>19.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.4<br>◦<br>26.3 | 16.7<br>◦<br>25.7<br>◦<br>19.3<br>◦<br>23.4<br>◦<br>21.1<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.9 | 15.1<br>◦<br>7.4<br>◦<br>4.7<br>◦<br>12.3<br>◦<br>10.5<br>◦<br>13.3<br>◦<br>14.0<br>◦<br>14.0<br>◦<br>14.4 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Shell1(28) | Shell2(28) | Shell3(28) | Combined(28×3) |\n| --- | --- | --- | --- |\n| 15.9<br>◦<br>25.7<br>◦<br>19.2<br>◦<br>23.6<br>◦<br>21.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.1 | 15.8<br>◦<br>25.7<br>◦<br>19.7<br>◦<br>24.3<br>◦<br>19.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.4<br>◦<br>26.3 | 16.7<br>◦<br>25.7<br>◦<br>19.3<br>◦<br>23.4<br>◦<br>21.1<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.9 | 15.1<br>◦<br>7.4<br>◦<br>4.7<br>◦<br>12.3<br>◦<br>10.5<br>◦<br>13.3<br>◦<br>14.0<br>◦<br>14.0<br>◦<br>14.4 |\n| 25.7<br>◦<br>27.8 | 25.7<br>◦<br>27.8 | 25.7<br>◦<br>27.8 | 15.6<br>◦<br>16.2 |\n| Shell1(90) | Shell2(90) | Shell3(90) | Combined(90×3) |","| 10.8<br>◦<br>12.9<br>◦<br>10.4<br>◦<br>13.3<br>◦<br>13.5<br>◦<br>13.6<br>◦<br>14.6 | 10.3<br>◦<br>13.3<br>◦<br>9.7<br>◦<br>13.5<br>◦<br>13.5<br>◦<br>13.5<br>◦<br>14.6 | 10.5<br>◦<br>12.6<br>◦<br>10.4<br>◦<br>13.3<br>◦<br>13.5<br>◦<br>13.5<br>◦<br>14.7 | 2.4<br>◦<br>7.2<br>◦<br>4.6<br>◦<br>7.9<br>◦<br>7.8<br>◦<br>7.8<br>◦<br>8.4 |\n| --- | --- | --- | --- |\n| 15.1<br>◦<br>15.7 | 15.1<br>◦<br>15.7 | 15.1<br>◦<br>15.7 | notavailable<br>notavailable |",1]
["| Shell1(28) | Shell2(28) | Shell3(28) | Combined(28×3) |\n| --- | --- | --- | --- |\n| 15.9<br>◦<br>25.7<br>◦<br>19.2<br>◦<br>23.6<br>◦<br>21.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.1 | 15.8<br>◦<br>25.7<br>◦<br>19.7<br>◦<br>24.3<br>◦<br>19.3<br>◦<br>23.8<br>◦<br>24.3<br>◦<br>24.4<br>◦<br>26.3 | 16.7<br>◦<br>25.7<br>◦<br>19.3<br>◦<br>23.4<br>◦<br>21.1<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>24.3<br>◦<br>26.9 | 15.1<br>◦<br>7.4<br>◦<br>4.7<br>◦<br>12.3<br>◦<br>10.5<br>◦<br>13.3<br>◦<br>14.0<br>◦<br>14.0<br>◦<br>14.4 |\n| 25.7<br>◦<br>27.8 | 25.7<br>◦<br>27.8 | 25.7<br>◦<br>27.8 | 15.6<br>◦<br>16.2 |\n| Shell1(90) | Shell2(90) | Shell3(90) | Combined(90×3) |","| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Data | Index | Recall | Precision(x10) |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 1,1,1,1,1 | .06,.07,.02,.07,.06 |\n| Rob02 | LPMS-R-10 | .87,.70,.79,.79,.74 | .11,.10,.11,.11,.09 |\n| Rob03 | LPMS-R-10 | .65,.59,.59,.63,.68 | .16,.16,.16,.15,.16 |\n| Rob04 | LPMS-R-10 | .40,.43,.43,.53,.48 | .36,.28,.33,.33,.30 |\n| Rob01 | LPMS-R-30 | 1,1,1,0.9,1 | .13,.14,.17,.11,.12 |\n| Rob02 | LPMS-R-30 | .85,.78,.90,.76,.79 | .15,.16,.12,.16,.12 |\n| Rob03 | LPMS-R-30 | .68,.71,.71,.75,.73 | .23,.21,.33,.22,.22 |\n| Rob04 | LPMS-R-30 | .49,.56,.60,.65,.74 | .36,.37,.37,.42,.47 |\n| Rob01 | LPMS-R-50 | 1,1,1,1,1 | .15,.13,.29,.13,.26 |\n| Rob02 | LPMS-R-50 | .98,.94,.93,.94,.94 | .17,.19,.18,.15,.12 |","| Rob03 | LPMS-R-50 | .81,.83,.82,.77,.84 | .21,.25,.17,.16,.20 |\n| --- | --- | --- | --- |\n| Rob04 | LPMS-R-50 | .63,.46,.58,.73,.52 | .28,.32,.30,.37,.35 |\n| Rob01 | LPMS-D-10 | 1,1,1,1,1 | .05,.06,.06,.05,.05 |\n| Rob02 | LPMS-D-10 | 1,1,1,1,1 | .35,.41,.22,.18,.30 |\n| Rob03 | LPMS-D-10 | 1,1,1,.97,.97 | .30,.26,.23,.31,.41 |\n| Rob04 | LPMS-D-10 | .94,1,.97,.98,.98 | .82,.94,.65,1.5,1.2 |\n| Rob01 | LPMS-D-30 | 1,1,1,1,1 | .06,.07,.07,.06,.06 |\n| Rob02 | LPMS-D-30 | 1,1,1,1,1 | .68,.41,.41,.59,.87 |\n| Rob03 | LPMS-D-30 | 1,1,1,1,1 | .65,.59,.86,.59,.70 |\n| Rob04 | LPMS-D-30 | 1,1,1,1,1 | .74,.93,.55,.55,1.1 |\n| Rob01 | LPMS-D-50 | 1,1,1,1,1 | .04,.03,.04,.04,.04 |\n| Rob02 | LPMS-D-50 | 1,1,1,1,1 | .86,.82,.58,.63,.70 |\n| Rob03 | LPMS-D-50 | 1,1,1,1,1 | .87,.83,1.7,.80,.79 |\n| Rob04 | LPMS-D-50 | 1,1,1,1,1 | .70,.87,.88,.85,.74 |",1]
["| Data | Index | Recall | Precision(x10) |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 1,1,1,1,1 | .06,.07,.02,.07,.06 |\n| Rob02 | LPMS-R-10 | .87,.70,.79,.79,.74 | .11,.10,.11,.11,.09 |\n| Rob03 | LPMS-R-10 | .65,.59,.59,.63,.68 | .16,.16,.16,.15,.16 |\n| Rob04 | LPMS-R-10 | .40,.43,.43,.53,.48 | .36,.28,.33,.33,.30 |\n| Rob01 | LPMS-R-30 | 1,1,1,0.9,1 | .13,.14,.17,.11,.12 |\n| Rob02 | LPMS-R-30 | .85,.78,.90,.76,.79 | .15,.16,.12,.16,.12 |\n| Rob03 | LPMS-R-30 | .68,.71,.71,.75,.73 | .23,.21,.33,.22,.22 |\n| Rob04 | LPMS-R-30 | .49,.56,.60,.65,.74 | .36,.37,.37,.42,.47 |\n| Rob01 | LPMS-R-50 | 1,1,1,1,1 | .15,.13,.29,.13,.26 |\n| Rob02 | LPMS-R-50 | .98,.94,.93,.94,.94 | .17,.19,.18,.15,.12 |","| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 817 | 252,37 |\n| Rob02 | LPMS-R-10 | 1,141 | 79,016 |\n| Rob03 | LPMS-R-10 | 1,510 | 51,493 |\n| Rob04 | LPMS-R-10 | 1,741 | 31,598 |\n| Rob01 | LPMS-R-30 | 2,057 | 445,495 |\n| Rob02 | LPMS-R-30 | 3,394 | 118,184 |\n| Rob03 | LPMS-R-30 | 4,523 | 84,642 |\n| Rob04 | LPMS-R-30 | 4,828 | 51,415 |\n| Rob01 | LPMS-R-50 | 2,850 | 616,441 |\n| Rob02 | LPMS-R-50 | 5,262 | 171,993 |\n| Rob03 | LPMS-R-50 | 2,332 | 81,068 |\n| Rob04 | LPMS-R-50 | 5,973 | 50,773 |\n| Rob01 | LPMS-D-10 | 227 | 516,434 |\n| Rob02 | LPMS-D-10 | 3,241 | 552,450 |\n| Rob03 | LPMS-D-10 | 5,640 | 295,191 |\n| Rob04 | LPMS-D-10 | 7,671 | 240,604 |\n| Rob01 | LPMS-D-30 | 260 | 574,119 |\n| Rob02 | LPMS-D-30 | 5,882 | 883,673 |\n| Rob03 | LPMS-D-30 | 12,894 | 572,456 |\n| Rob04 | LPMS-D-30 | 16,572 | 366,812 |\n| Rob01 | LPMS-D-50 | 151 | 487,904 |\n| Rob02 | LPMS-D-50 | 6,114 | 1,020,066 |\n| Rob03 | LPMS-D-50 | 17,349 | 727,759 |\n| Rob04 | LPMS-D-50 | 24,161 | 510,894 |",0]
["| Data | Index | Recall | Precision(x10) |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 1,1,1,1,1 | .06,.07,.02,.07,.06 |\n| Rob02 | LPMS-R-10 | .87,.70,.79,.79,.74 | .11,.10,.11,.11,.09 |\n| Rob03 | LPMS-R-10 | .65,.59,.59,.63,.68 | .16,.16,.16,.15,.16 |","| Rob04 | LPMS-R-10 | .40,.43,.43,.53,.48 | .36,.28,.33,.33,.30 |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-30 | 1,1,1,0.9,1 | .13,.14,.17,.11,.12 |\n| Rob02 | LPMS-R-30 | .85,.78,.90,.76,.79 | .15,.16,.12,.16,.12 |\n| Rob03 | LPMS-R-30 | .68,.71,.71,.75,.73 | .23,.21,.33,.22,.22 |\n| Rob04 | LPMS-R-30 | .49,.56,.60,.65,.74 | .36,.37,.37,.42,.47 |\n| Rob01 | LPMS-R-50 | 1,1,1,1,1 | .15,.13,.29,.13,.26 |\n| Rob02 | LPMS-R-50 | .98,.94,.93,.94,.94 | .17,.19,.18,.15,.12 |\n| Rob03 | LPMS-R-50 | .81,.83,.82,.77,.84 | .21,.25,.17,.16,.20 |\n| Rob04 | LPMS-R-50 | .63,.46,.58,.73,.52 | .28,.32,.30,.37,.35 |\n| Rob01 | LPMS-D-10 | 1,1,1,1,1 | .05,.06,.06,.05,.05 |\n| Rob02 | LPMS-D-10 | 1,1,1,1,1 | .35,.41,.22,.18,.30 |\n| Rob03 | LPMS-D-10 | 1,1,1,.97,.97 | .30,.26,.23,.31,.41 |\n| Rob04 | LPMS-D-10 | .94,1,.97,.98,.98 | .82,.94,.65,1.5,1.2 |\n| Rob01 | LPMS-D-30 | 1,1,1,1,1 | .06,.07,.07,.06,.06 |\n| Rob02 | LPMS-D-30 | 1,1,1,1,1 | .68,.41,.41,.59,.87 |\n| Rob03 | LPMS-D-30 | 1,1,1,1,1 | .65,.59,.86,.59,.70 |\n| Rob04 | LPMS-D-30 | 1,1,1,1,1 | .74,.93,.55,.55,1.1 |\n| Rob01 | LPMS-D-50 | 1,1,1,1,1 | .04,.03,.04,.04,.04 |\n| Rob02 | LPMS-D-50 | 1,1,1,1,1 | .86,.82,.58,.63,.70 |\n| Rob03 | LPMS-D-50 | 1,1,1,1,1 | .87,.83,1.7,.80,.79 |\n| Rob04 | LPMS-D-50 | 1,1,1,1,1 | .70,.87,.88,.85,.74 |",1]
["| Data | Index | Recall | Precision(x10) |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 1,1,1,1,1 | .06,.07,.02,.07,.06 |\n| Rob02 | LPMS-R-10 | .87,.70,.79,.79,.74 | .11,.10,.11,.11,.09 |\n| Rob03 | LPMS-R-10 | .65,.59,.59,.63,.68 | .16,.16,.16,.15,.16 |","| Rob03 | LPMS-R-30 | 4,523 | 84,642 |\n| --- | --- | --- | --- |\n| Rob04 | LPMS-R-30 | 4,828 | 51,415 |\n| Rob01 | LPMS-R-50 | 2,850 | 616,441 |\n| Rob02 | LPMS-R-50 | 5,262 | 171,993 |\n| Rob03 | LPMS-R-50 | 2,332 | 81,068 |\n| Rob04 | LPMS-R-50 | 5,973 | 50,773 |\n| Rob01 | LPMS-D-10 | 227 | 516,434 |\n| Rob02 | LPMS-D-10 | 3,241 | 552,450 |\n| Rob03 | LPMS-D-10 | 5,640 | 295,191 |\n| Rob04 | LPMS-D-10 | 7,671 | 240,604 |\n| Rob01 | LPMS-D-30 | 260 | 574,119 |\n| Rob02 | LPMS-D-30 | 5,882 | 883,673 |\n| Rob03 | LPMS-D-30 | 12,894 | 572,456 |\n| Rob04 | LPMS-D-30 | 16,572 | 366,812 |\n| Rob01 | LPMS-D-50 | 151 | 487,904 |\n| Rob02 | LPMS-D-50 | 6,114 | 1,020,066 |\n| Rob03 | LPMS-D-50 | 17,349 | 727,759 |\n| Rob04 | LPMS-D-50 | 24,161 | 510,894 |",0]
["| No.CorrectlyResolved | withCognitivePrinciples | withoutCognitivePrinciples |\n| --- | --- | --- |\n| SimpleOne-ZeroAlignment | 5 | 5 |\n| SimpleOne-OneAlignment | 104 | 92 |","| Complex | 24 | 18 |\n| --- | --- | --- |\n| Total | 133 | 115 |",1]
["| No.CorrectlyResolved | withCognitivePrinciples | withoutCognitivePrinciples |\n| --- | --- | --- |\n| SimpleOne-ZeroAlignment | 5 | 5 |\n| SimpleOne-OneAlignment | 104 | 92 |","| No.CorrectlyResolved | Greedy | FiniteState | DecisionList |\n| --- | --- | --- | --- |\n| SimpleInputswithone-onealighment | 116 | 115 | 88 |\n| SimpleInputswithzero-onealighment | 8 | 0 | 12 |\n| ComplexInputs | 24 | 13 | 0 |\n| Total | 148 | 128 | 100 |",0]
["| No.CorrectlyResolved | withCognitivePrinciples | withoutCognitivePrinciples |\n| --- | --- | --- |\n| SimpleOne-ZeroAlignment | 5 | 5 |\n| SimpleOne-OneAlignment | 104 | 92 |","| Complex | 24 | 18 |\n| --- | --- | --- |\n| Total | 133 | 115 |",1]
["| No.CorrectlyResolved | withCognitivePrinciples | withoutCognitivePrinciples |\n| --- | --- | --- |\n| SimpleOne-ZeroAlignment | 5 | 5 |\n| SimpleOne-OneAlignment | 104 | 92 |","| SimpleInputswithzero-onealighment | 8 | 0 | 12 |\n| --- | --- | --- | --- |\n| ComplexInputs | 24 | 13 | 0 |\n| Total | 148 | 128 | 100 |",0]
["| Full<br>Precision<br>Stage | Val-acc-top-1 | Val-acc-top-5 | ModelSize |\n| --- | --- | --- | --- |\n| none | 0.42 | 0.66 | 3.6MB |\n| 1st | 0.48 | 0.73 | 4.1MB |\n| 2nd | 0.44 | 0.69 | 5.6MB |\n| 3rd | 0.49 | 0.73 | 11.3MB |","| 4th | 0.47 | 0.71 | 36MB |\n| --- | --- | --- | --- |\n| 1st,2nd | 0.49 | 0.73 | 6.2MB |\n| All | 0.61 | 0.84 | 47MB |",1]
["| Full<br>Precision<br>Stage | Val-acc-top-1 | Val-acc-top-5 | ModelSize |\n| --- | --- | --- | --- |\n| none | 0.42 | 0.66 | 3.6MB |\n| 1st | 0.48 | 0.73 | 4.1MB |\n| 2nd | 0.44 | 0.69 | 5.6MB |\n| 3rd | 0.49 | 0.73 | 11.3MB |","| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["| Full<br>Precision<br>Stage | Val-acc-top-1 | Val-acc-top-5 | ModelSize |\n| --- | --- | --- | --- |\n| none | 0.42 | 0.66 | 3.6MB |","| 1st | 0.48 | 0.73 | 4.1MB |\n| --- | --- | --- | --- |\n| 2nd | 0.44 | 0.69 | 5.6MB |\n| 3rd | 0.49 | 0.73 | 11.3MB |\n| 4th | 0.47 | 0.71 | 36MB |\n| 1st,2nd | 0.49 | 0.73 | 6.2MB |\n| All | 0.61 | 0.84 | 47MB |",1]
["| Full<br>Precision<br>Stage | Val-acc-top-1 | Val-acc-top-5 | ModelSize |\n| --- | --- | --- | --- |\n| none | 0.42 | 0.66 | 3.6MB |","| Ours | 4 | 0.82 | 0.69 |\n| --- | --- | --- | --- |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["| KKP3KKP2sKKP2bKKP2n | ISA6rISA6sISA9 |\n| --- | --- |\n| 74.583.984.188.1<br>75.780.680.684.6<br>81.792.792.797.3<br>50.554.754.856.1 | -198.092.7<br>-171.083.9<br>-175.286.1<br>-115.059.3 |\n| 43.640.240.240.6<br>63.253.353.257.7<br>45.741.641.542.2<br>56.943.643.547.6 | 43.349.441.9<br>51.856.353.0<br>39.245.742.8<br>31.137.145.2 |","| 52.643.143.150.0<br>52.043.443.852.2<br>55.643.943.950.8<br>43.140.540.547.8 | 40.745.346.6<br>40.445.145.3<br>39.243.745.0<br>38.042.841.1 |\n| --- | --- |\n| 38.235.135.138.7<br>77.849.049.452.0 | 34.239.636.4<br>34.840.851.8 |",1]
["| KKP3KKP2sKKP2bKKP2n | ISA6rISA6sISA9 |\n| --- | --- |\n| 74.583.984.188.1<br>75.780.680.684.6<br>81.792.792.797.3<br>50.554.754.856.1 | -198.092.7<br>-171.083.9<br>-175.286.1<br>-115.059.3 |\n| 43.640.240.240.6<br>63.253.353.257.7<br>45.741.641.542.2<br>56.943.643.547.6 | 43.349.441.9<br>51.856.353.0<br>39.245.742.8<br>31.137.145.2 |","| 1234567 |\n| --- |\n| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |\n| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",0]
["| KKP3KKP2sKKP2bKKP2n | ISA6rISA6sISA9 |\n| --- | --- |\n| 74.583.984.188.1<br>75.780.680.684.6<br>81.792.792.797.3<br>50.554.754.856.1 | -198.092.7<br>-171.083.9<br>-175.286.1<br>-115.059.3 |\n| 43.640.240.240.6<br>63.253.353.257.7<br>45.741.641.542.2<br>56.943.643.547.6 | 43.349.441.9<br>51.856.353.0<br>39.245.742.8<br>31.137.145.2 |","| 52.643.143.150.0<br>52.043.443.852.2<br>55.643.943.950.8<br>43.140.540.547.8 | 40.745.346.6<br>40.445.145.3<br>39.243.745.0<br>38.042.841.1 |\n| --- | --- |\n| 38.235.135.138.7<br>77.849.049.452.0 | 34.239.636.4<br>34.840.851.8 |",1]
["| KKP3KKP2sKKP2bKKP2n | ISA6rISA6sISA9 |\n| --- | --- |\n| 74.583.984.188.1<br>75.780.680.684.6<br>81.792.792.797.3<br>50.554.754.856.1 | -198.092.7<br>-171.083.9<br>-175.286.1<br>-115.059.3 |\n| 43.640.240.240.6<br>63.253.353.257.7<br>45.741.641.542.2<br>56.943.643.547.6 | 43.349.441.9<br>51.856.353.0<br>39.245.742.8<br>31.137.145.2 |","| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| --- |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",0]
["| (cid:107)S−S(cid:107)tt2(cid:101) |\n| --- |\n| −3<br>3.8900×10 |\n| 2.5601×10 |\n| 4.6325×10 |\n| 2.9394×10 |","| 4.4131×10 |\n| --- |\n| 2.6350×10 |\n| 4.6418×10 |",1]
["| (cid:107)S−S(cid:107)tt2(cid:101) |\n| --- |\n| −3<br>3.8900×10 |\n| 2.5601×10 |\n| 4.6325×10 |\n| 2.9394×10 |","| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |\n| 94.51<br>92.60 | 94.46<br>92.57 |\n| 0.236 | 0.239 |\n| 84.6 | 84.2 |",0]
["| (cid:107)S−S(cid:107)tt2(cid:101) |\n| --- |\n| −3<br>3.8900×10 |","| 2.5601×10 |\n| --- |\n| 4.6325×10 |\n| 2.9394×10 |\n| 4.4131×10 |\n| 2.6350×10 |\n| 4.6418×10 |",1]
["| (cid:107)S−S(cid:107)tt2(cid:101) |\n| --- |\n| −3<br>3.8900×10 |","| 0.236 | 0.239 |\n| --- | --- |\n| 84.6 | 84.2 |",0]
["|  | InitialStates |  |  |  |\n| --- | --- | --- | --- | --- |\n| Model | Noiselevel | (2,0) | (0,3) | (2,3) |\n| u-tube | 0 | 4/6 | 4/6 | 3/5 |\n| 0.01 | 2/8 | 2/8 | 2/9 |  |\n| 0.1 | 2/10 | 2/10 | 2/15 |  |\n| 1 | 2/37 | 2/37 | 2/53 |  |\n| Coupled | 0 | 6/14 | 5/13 | 5/14 |\n| 0.01 | 6/16 | 4/14 | 4/12 |  |\n| 0.1 | 6/16 | 5/25 | 4/15 |  |\n| 1 | 6/58 | 6/61 | 4/46 |  |","| Cascaded | 0 | 5/8 | 5/8 | 3/8 |\n| --- | --- | --- | --- | --- |\n| 0.01 | 4/10 | 4/12 | 2/9 |  |\n| 0.1 | 4/17 | 4/21 | 2/13 |  |\n| 1 | 4/39 | 4/49 | 4/38 |  |\n| Spring | 0 | 20/33 | 19/35 | 22/39 |\n| 0.01 | 23/48 | 20/36 | 18/41 |  |\n| 0.1 | 23/49 | 20/38 | 18/44 |  |\n| 1 | 20/65 | 20/52 | 19/53 |  |",1]
["|  | InitialStates |  |  |  |\n| --- | --- | --- | --- | --- |\n| Model | Noiselevel | (2,0) | (0,3) | (2,3) |\n| u-tube | 0 | 4/6 | 4/6 | 3/5 |\n| 0.01 | 2/8 | 2/8 | 2/9 |  |\n| 0.1 | 2/10 | 2/10 | 2/15 |  |\n| 1 | 2/37 | 2/37 | 2/53 |  |\n| Coupled | 0 | 6/14 | 5/13 | 5/14 |\n| 0.01 | 6/16 | 4/14 | 4/12 |  |\n| 0.1 | 6/16 | 5/25 | 4/15 |  |\n| 1 | 6/58 | 6/61 | 4/46 |  |","| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["|  | InitialStates |  |  |  |\n| --- | --- | --- | --- | --- |\n| Model | Noiselevel | (2,0) | (0,3) | (2,3) |\n| u-tube | 0 | 4/6 | 4/6 | 3/5 |\n| 0.01 | 2/8 | 2/8 | 2/9 |  |\n| 0.1 | 2/10 | 2/10 | 2/15 |  |\n| 1 | 2/37 | 2/37 | 2/53 |  |\n| Coupled | 0 | 6/14 | 5/13 | 5/14 |","| 0.01 | 6/16 | 4/14 | 4/12 |  |\n| --- | --- | --- | --- | --- |\n| 0.1 | 6/16 | 5/25 | 4/15 |  |\n| 1 | 6/58 | 6/61 | 4/46 |  |\n| Cascaded | 0 | 5/8 | 5/8 | 3/8 |\n| 0.01 | 4/10 | 4/12 | 2/9 |  |\n| 0.1 | 4/17 | 4/21 | 2/13 |  |\n| 1 | 4/39 | 4/49 | 4/38 |  |\n| Spring | 0 | 20/33 | 19/35 | 22/39 |\n| 0.01 | 23/48 | 20/36 | 18/41 |  |\n| 0.1 | 23/49 | 20/38 | 18/44 |  |\n| 1 | 20/65 | 20/52 | 19/53 |  |",1]
["|  | InitialStates |  |  |  |\n| --- | --- | --- | --- | --- |\n| Model | Noiselevel | (2,0) | (0,3) | (2,3) |\n| u-tube | 0 | 4/6 | 4/6 | 3/5 |\n| 0.01 | 2/8 | 2/8 | 2/9 |  |\n| 0.1 | 2/10 | 2/10 | 2/15 |  |\n| 1 | 2/37 | 2/37 | 2/53 |  |\n| Coupled | 0 | 6/14 | 5/13 | 5/14 |","| Ours | 4 | 0.82 | 0.69 |\n| --- | --- | --- | --- |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["| ConceptsTopic1 | ConceptsTopic3 |\n| --- | --- |\n| websearch | musicplayers |\n| searchengine | digitalmedia |\n| googlenews | digitaltechnology |\n| onlinenewssearch | consumerdevices |\n| googlesearchengine | marketsystem |\n| ConceptsTopic2 | ConceptsTopic4 |\n| softwareusers | spammail |","| virusprograms | spamwebsite |\n| --- | --- |\n| windowssecurity | networkresearch |\n| softwareforms | researchﬁrm |\n| microsoftprograms | websiteattacks |",1]
["| ConceptsTopic1 | ConceptsTopic3 |\n| --- | --- |\n| websearch | musicplayers |\n| searchengine | digitalmedia |\n| googlenews | digitaltechnology |\n| onlinenewssearch | consumerdevices |\n| googlesearchengine | marketsystem |\n| ConceptsTopic2 | ConceptsTopic4 |\n| softwareusers | spammail |","| Topic1 | Topic3 |\n| --- | --- |\n| web[0.0048] | set[0.0047] |\n| search[0.0048] | software[0.0032] |\n| online[0.0047] | virus[0.0028] |\n| news[0.0046] | users[0.0027] |\n| google[0.0033] | ﬁrms[0.0025] |\n| people[0.0032] | microsoft[0.0025] |\n| information[0.0032] | security[0.0022] |\n| internet[0.0029] | windows[0.0022] |\n| website[0.0027] | ﬁle[0.0013] |\n| users[0.0020] | programs[0.0011] |\n| Topic2 | Topic4 |\n| system[0.0064] | site[0.0042] |\n| music[0.0045] | net[0.0038] |\n| devices[0.0043] | spam[0.0035] |\n| players[0.0035] | mail[0.0028] |\n| media[0.0032] | ﬁrm[0.0027] |\n| digital[0.0027] | data[0.0024] |\n| market[0.0024] | attacks[0.0019] |\n| technology[0.0022] | network[0.0018] |\n| consumer[0.0021] | web[0.0016] |\n| technologies[0.0018] | research[0.0014] |",0]
["| ConceptsTopic1 | ConceptsTopic3 |\n| --- | --- |\n| websearch | musicplayers |\n| searchengine | digitalmedia |","| googlenews | digitaltechnology |\n| --- | --- |\n| onlinenewssearch | consumerdevices |\n| googlesearchengine | marketsystem |\n| ConceptsTopic2 | ConceptsTopic4 |\n| softwareusers | spammail |\n| virusprograms | spamwebsite |\n| windowssecurity | networkresearch |\n| softwareforms | researchﬁrm |\n| microsoftprograms | websiteattacks |",1]
["| ConceptsTopic1 | ConceptsTopic3 |\n| --- | --- |\n| websearch | musicplayers |\n| searchengine | digitalmedia |","| music[0.0045] | net[0.0038] |\n| --- | --- |\n| devices[0.0043] | spam[0.0035] |\n| players[0.0035] | mail[0.0028] |\n| media[0.0032] | ﬁrm[0.0027] |\n| digital[0.0027] | data[0.0024] |\n| market[0.0024] | attacks[0.0019] |\n| technology[0.0022] | network[0.0018] |\n| consumer[0.0021] | web[0.0016] |\n| technologies[0.0018] | research[0.0014] |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| DataSet | MINT+rrBLUP(n=500) | mRMR+rrBLUP(n=500) | rrBLUP | Lasso | ElasticNet |\n| --- | --- | --- | --- | --- | --- |\n| Data1 | 0.14 | 0.015 | 0.018 | 0.018 | 0.019 |","| Data2 | 0.303 | 0.110 | 0.204 | 0.129 | 0.146 |\n| --- | --- | --- | --- | --- | --- |\n| Data3 | 0.563 | 0.536 | 0.607 | 0.540 | 0.545 |\n| Data4 | 0.369 | 0.235 | 0.31 | 0.255 | 0.261 |\n| Data5 | 0.364 | 0.201 | 0.22 | 0.212 | 0.214 |\n| Data6 | 0.276 | 0.148 | 0.17 | 0.15 | 0.162 |",1]
["| DataSet | MINT+rrBLUP(n=500) | mRMR+rrBLUP(n=500) | rrBLUP | Lasso | ElasticNet |\n| --- | --- | --- | --- | --- | --- |\n| Data1 | 0.14 | 0.015 | 0.018 | 0.018 | 0.019 |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| DataSet | MINT+rrBLUP(n=500) | mRMR+rrBLUP(n=500) | rrBLUP | Lasso | ElasticNet |\n| --- | --- | --- | --- | --- | --- |\n| Data1 | 0.14 | 0.015 | 0.018 | 0.018 | 0.019 |\n| Data2 | 0.303 | 0.110 | 0.204 | 0.129 | 0.146 |\n| Data3 | 0.563 | 0.536 | 0.607 | 0.540 | 0.545 |","| Data4 | 0.369 | 0.235 | 0.31 | 0.255 | 0.261 |\n| --- | --- | --- | --- | --- | --- |\n| Data5 | 0.364 | 0.201 | 0.22 | 0.212 | 0.214 |\n| Data6 | 0.276 | 0.148 | 0.17 | 0.15 | 0.162 |",1]
["| DataSet | MINT+rrBLUP(n=500) | mRMR+rrBLUP(n=500) | rrBLUP | Lasso | ElasticNet |\n| --- | --- | --- | --- | --- | --- |\n| Data1 | 0.14 | 0.015 | 0.018 | 0.018 | 0.019 |\n| Data2 | 0.303 | 0.110 | 0.204 | 0.129 | 0.146 |\n| Data3 | 0.563 | 0.536 | 0.607 | 0.540 | 0.545 |","| 0.0004 | 0.000182 | 3 | 0.266 |\n| --- | --- | --- | --- |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| Dataset | DNVT/D |\n| --- | --- |\n| KOS | 3.4K467K69K136 |","| NIPS | 1.5K1.9M12K1266 |\n| --- | --- |\n| Enron | 39K6.4M28K160 |\n| Nytimes | 300K100M102K332 |\n| PubMed | 8.2M738M141K90 |",1]
["| Dataset | DNVT/D |\n| --- | --- |\n| KOS | 3.4K467K69K136 |","| DataSet | #classes | #instances | #dim. |\n| --- | --- | --- | --- |\n| Wdbc | 2 | 569 | 31 |\n| Ionosphere | 2 | 351 | 34 |\n| Spectf | 2 | 267 | 44 |\n| Spambase | 2 | 4,601 | 57 |\n| Colon | 2 | 62 | 2,000 |\n| Prostate | 2 | 102 | 6,033 |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",0]
["| Dataset | DNVT/D |\n| --- | --- |\n| KOS | 3.4K467K69K136 |","| NIPS | 1.5K1.9M12K1266 |\n| --- | --- |\n| Enron | 39K6.4M28K160 |\n| Nytimes | 300K100M102K332 |\n| PubMed | 8.2M738M141K90 |",1]
["| Dataset | DNVT/D |\n| --- | --- |\n| KOS | 3.4K467K69K136 |","| Spambase | 2 | 4,601 | 57 |\n| --- | --- | --- | --- |\n| Colon | 2 | 62 | 2,000 |\n| Prostate | 2 | 102 | 6,033 |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",0]
["| NumberofDocuments: | 163 |\n| --- | --- |\n| NumberofToken: | 71,888 |\n| NumberofSentences: | 3,027 |","| AnnotatedSentences(messages): | 1,017 |\n| --- | --- |\n| DistinctVerbsandNounsintheCorpus: | 7,185 |\n| DistinctVerbsandNounsintheMessages: | 2,426 |",1]
["| NumberofDocuments: | 163 |\n| --- | --- |\n| NumberofToken: | 71,888 |\n| NumberofSentences: | 3,027 |","|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| NumberofDocuments: | 163 |\n| --- | --- |\n| NumberofToken: | 71,888 |\n| NumberofSentences: | 3,027 |\n| AnnotatedSentences(messages): | 1,017 |","| DistinctVerbsandNounsintheCorpus: | 7,185 |\n| --- | --- |\n| DistinctVerbsandNounsintheMessages: | 2,426 |",1]
["| NumberofDocuments: | 163 |\n| --- | --- |\n| NumberofToken: | 71,888 |\n| NumberofSentences: | 3,027 |\n| AnnotatedSentences(messages): | 1,017 |","| Numberofhapaxlegomena | 69,542 |\n| --- | --- |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Tweets | 196,985,580 |\n| --- | --- |\n| Users | 9,801,062 |\n| Hashtags | 1,341,733 |","| TweetswithHashtags | 19,043,104 |\n| --- | --- |\n| Retweets | 15,126,588 |\n| TweetswithURLs | 54,443,857 |\n| Direct(@)Tweets | 41,951,786 |",1]
["| Tweets | 196,985,580 |\n| --- | --- |\n| Users | 9,801,062 |\n| Hashtags | 1,341,733 |","| Hashtag | Frequency |\n| --- | --- |\n| love | 152,930 |\n| follow | 101,048 |\n| instagood | 72,658 |\n| me | 61,303 |\n| like | 59,995 |\n| tbt | 56,636 |\n| cute | 54,736 |\n| photooftheday | 54,444 |\n| beautiful | 50,602 |\n| happy | 49027 |",0]
["| Tweets | 196,985,580 |\n| --- | --- |\n| Users | 9,801,062 |\n| Hashtags | 1,341,733 |\n| TweetswithHashtags | 19,043,104 |\n| Retweets | 15,126,588 |","| TweetswithURLs | 54,443,857 |\n| --- | --- |\n| Direct(@)Tweets | 41,951,786 |",1]
["| Tweets | 196,985,580 |\n| --- | --- |\n| Users | 9,801,062 |\n| Hashtags | 1,341,733 |\n| TweetswithHashtags | 19,043,104 |\n| Retweets | 15,126,588 |","| beautiful | 50,602 |\n| --- | --- |\n| happy | 49027 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |\n| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |\n| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |\n| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |\n| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |\n| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |\n| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |\n| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 |","| 9 | 174.44,124.41 | 158.03,90.47 | 474.84,309.11 | 293.31,197.14 | 471.45,348.61 | 273.68,197.46 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |\n| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |\n| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |\n| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |\n| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |\n| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |\n| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |\n| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |\n| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 |","| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |\n| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |\n| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |\n| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |\n| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |\n| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |\n| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |\n| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |\n| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |\n| --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |","|  | Mean | Std | Mean | Std | Mean | Std |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |\n| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |\n| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |\n| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |\n| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |\n| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |\n| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |\n| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 |\n| 9 | 174.44,124.41 | 158.03,90.47 | 474.84,309.11 | 293.31,197.14 | 471.45,348.61 | 273.68,197.46 |\n| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |\n| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |\n| --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |","| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |\n| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |\n| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |\n| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |\n| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |\n| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |\n| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |\n| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",0]
["| Inputs | MAEs(years) |\n| --- | --- |\n| DAMs-Mod | 4.67 |","| AAMs-Mod | 4.81 |\n| --- | --- |\n| DAMs-Rec | 5.67 |\n| AAMs-Rec | 6.14 |\n| DLF-CNN | 4.26 |\n| CA-SVR | 4.67 |\n| PLO | 4.82 |",1]
["| Inputs | MAEs(years) |\n| --- | --- |\n| DAMs-Mod | 4.67 |","| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 75.9 | 109.2 | 16.5 |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",0]
["| Inputs | MAEs(years) |\n| --- | --- |\n| DAMs-Mod | 4.67 |\n| AAMs-Mod | 4.81 |\n| DAMs-Rec | 5.67 |","| AAMs-Rec | 6.14 |\n| --- | --- |\n| DLF-CNN | 4.26 |\n| CA-SVR | 4.67 |\n| PLO | 4.82 |",1]
["| Inputs | MAEs(years) |\n| --- | --- |\n| DAMs-Mod | 4.67 |\n| AAMs-Mod | 4.81 |\n| DAMs-Rec | 5.67 |","| 83.1 | 120.4 | 20.1 |\n| --- | --- | --- |\n| 75.9 | 109.2 | 16.5 |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",0]
["|  | Simulation |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | BLEU | Reward | SuccessRate | SlotError |\n| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 |","| ST-S2S | 0.4297±0.0099 | 0.4485±0.0606 | 0.5310±0.0302 | 0.4103±0.0026 |\n| --- | --- | --- | --- | --- |\n| ST-E-S2S | 0.5856±0.0123 | 1.0121±0.0633 | 0.7691±0.0285 | 0.0627±0.0048 |\n| PT-S2S | 0.6685±0.0050 | 1.1493±0.1086 | 0.7945±0.0503 | 0.0638±0.0038 |\n| HRED | 0.6575±0.0029 | 1.1187±0.0241 | 0.8095±0.0112 | 0.0862±0.0120 |\n| ST-HRED | 0.5058±0.0048 | 0.7860±0.1085 | 0.7199±0.0650 | 0.3763±0.0046 |\n| PT-HRED | 0.7193±0.0148 | 1.5247±0.0413 | 0.9587±0.0164 | 0.0405±0.0051 |",1]
["|  | Simulation |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | BLEU | Reward | SuccessRate | SlotError |\n| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 |","|  | DSTC2 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["|  | Simulation |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | BLEU | Reward | SuccessRate | SlotError |\n| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 |\n| ST-S2S | 0.4297±0.0099 | 0.4485±0.0606 | 0.5310±0.0302 | 0.4103±0.0026 |\n| ST-E-S2S | 0.5856±0.0123 | 1.0121±0.0633 | 0.7691±0.0285 | 0.0627±0.0048 |\n| PT-S2S | 0.6685±0.0050 | 1.1493±0.1086 | 0.7945±0.0503 | 0.0638±0.0038 |","| HRED | 0.6575±0.0029 | 1.1187±0.0241 | 0.8095±0.0112 | 0.0862±0.0120 |\n| --- | --- | --- | --- | --- |\n| ST-HRED | 0.5058±0.0048 | 0.7860±0.1085 | 0.7199±0.0650 | 0.3763±0.0046 |\n| PT-HRED | 0.7193±0.0148 | 1.5247±0.0413 | 0.9587±0.0164 | 0.0405±0.0051 |",1]
["|  | Simulation |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | BLEU | Reward | SuccessRate | SlotError |\n| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 |\n| ST-S2S | 0.4297±0.0099 | 0.4485±0.0606 | 0.5310±0.0302 | 0.4103±0.0026 |\n| ST-E-S2S | 0.5856±0.0123 | 1.0121±0.0633 | 0.7691±0.0285 | 0.0627±0.0048 |\n| PT-S2S | 0.6685±0.0050 | 1.1493±0.1086 | 0.7945±0.0503 | 0.0638±0.0038 |","| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["| Messagename |\n| --- |\n| IAS |\n| InfoSnapped |\n| InfoSlave |\n| InfoFree |","| SIP |\n| --- |\n| AckSIP |\n| ClaimPosition |\n| PositionTaken |\n| InfoStopped |\n| IAYS |\n| CardinalityInfo |\n| Offer |\n| AckOffer |\n| MoveTo |\n| InfoArrived |\n| HoleInfo |\n| Subst |\n| AckSubst |\n| SubstArrival |\n| ProfilePacket |\n| MoveToSubst |\n| Retirement |",1]
["| Messagename |\n| --- |\n| IAS |\n| InfoSnapped |\n| InfoSlave |\n| InfoFree |","| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["| Messagename |\n| --- |\n| IAS |\n| InfoSnapped |\n| InfoSlave |\n| InfoFree |\n| SIP |\n| AckSIP |\n| ClaimPosition |\n| PositionTaken |\n| InfoStopped |\n| IAYS |","| CardinalityInfo |\n| --- |\n| Offer |\n| AckOffer |\n| MoveTo |\n| InfoArrived |\n| HoleInfo |\n| Subst |\n| AckSubst |\n| SubstArrival |\n| ProfilePacket |\n| MoveToSubst |\n| Retirement |",1]
["| Messagename |\n| --- |\n| IAS |\n| InfoSnapped |\n| InfoSlave |\n| InfoFree |\n| SIP |\n| AckSIP |\n| ClaimPosition |\n| PositionTaken |\n| InfoStopped |\n| IAYS |","| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| --- | --- | --- | --- | --- |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |  |  |\n| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |\n| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 |  |\n| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 |  |\n| Barbara | 30.81 | 23.34 | 0.795 | 30.97 | 0.970 | 31.09 | 0.974 | 0.12 | 0.003 |  |\n| Average | 30.44 | 24.61 | 0.788 | 33.20 | 0.931 | 33.56 | 0.938 | 0.35 | 0.007 |  |\n| 2 | C.man | 25.85 | 22.16 | 0.668 | 29.31 | 0.862 | 29.75 | 0.873 | 0.44 | 0.011 |\n| House | 23.14 | 25.46 | 0.724 | 33.99 | 0.869 | 34.56 | 0.879 | 0.57 | 0.009 |  |\n| Lena | 23.87 | 27.04 | 0.872 | 33.64 | 0.957 | 34.12 | 0.966 | 0.49 | 0.008 |  |\n| Barbara | 24.79 | 23.25 | 0.789 | 27.20 | 0.926 | 27.29 | 0.930 | 0.08 | 0.004 |  |","| Average | 24.43 | 24.47 | 0.763 | 31.04 | 0.904 | 31.43 | 0.912 | 0.39 | 0.008 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | C.man | 40.00 | 20.77 | 0.624 | 31.24 | 0.899 | 31.17 | 0.910 | -0.08 | 0.011 |\n| House | 40.00 | 24.11 | 0.697 | 36.98 | 0.918 | 37.57 | 0.928 | 0.60 | 0.009 |  |\n| Lena | 40.00 | 25.84 | 0.829 | 34.74 | 0.968 | 35.14 | 0.973 | 0.40 | 0.004 |  |\n| Barbara | 40.00 | 22.49 | 0.737 | 28.53 | 0.933 | 28.31 | 0.930 | -0.23 | -0.003 |  |\n| Average | 40.00 | 23.30 | 0.722 | 32.87 | 0.930 | 33.05 | 0.935 | 0.18 | 0.006 |  |\n| 4 | C.man | 18.53 | 24.63 | 0.609 | 28.63 | 0.858 | 29.21 | 0.873 | 0.58 | 0.014 |\n| House | 15.99 | 28.08 | 0.631 | 33.85 | 0.868 | 34.41 | 0.879 | 0.57 | 0.011 |  |\n| Lena | 16.47 | 28.81 | 0.903 | 33.76 | 0.957 | 34.29 | 0.967 | 0.52 | 0.010 |  |\n| Barbara | 17.35 | 24.22 | 0.849 | 26.09 | 0.908 | 26.17 | 0.913 | 0.07 | 0.005 |  |\n| Average | 17.17 | 26.44 | 0.748 | 30.58 | 0.898 | 31.02 | 0.908 | 0.44 | 0.010 |  |\n| 5 | C.man | 29.19 | 23.36 | 0.734 | 27.69 | 0.858 | 28.58 | 0.873 | 0.88 | 0.015 |\n| House | 26.61 | 27.82 | 0.794 | 33.55 | 0.874 | 34.17 | 0.883 | 0.62 | 0.009 |  |\n| Lena | 27.18 | 29.16 | 0.928 | 34.00 | 0.968 | 34.38 | 0.973 | 0.38 | 0.005 |  |\n| Barbara | 28.07 | 23.77 | 0.831 | 24.93 | 0.883 | 25.01 | 0.886 | 0.07 | 0.003 |  |\n| Average | 27.77 | 26.03 | 0.822 | 30.04 | 0.896 | 30.53 | 0.904 | 0.49 | 0.008 |  |\n| 6 | C.man | 17.76 | 29.83 | 0.703 | 34.69 | 0.932 | 34.89 | 0.939 | 0.21 | 0.007 |\n| House | 15.15 | 30.00 | 0.682 | 37.08 | 0.920 | 36.74 | 0.911 | -0.34 | -0.010 |  |\n| Lena | 15.52 | 30.02 | 0.911 | 36.34 | 0.972 | 36.32 | 0.972 | -0.02 | 0.000 |  |\n| Barbara | 16.59 | 29.78 | 0.939 | 35.22 | 0.979 | 35.21 | 0.980 | -0.01 | 0.000 |  |\n| Average | 16.36 | 29.91 | 0.809 | 35.83 | 0.951 | 35.79 | 0.951 | -0.04 | -0.001 |  |",1]
["| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |  |  |\n| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |\n| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 |  |\n| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 |  |\n| Barbara | 30.81 | 23.34 | 0.795 | 30.97 | 0.970 | 31.09 | 0.974 | 0.12 | 0.003 |  |\n| Average | 30.44 | 24.61 | 0.788 | 33.20 | 0.931 | 33.56 | 0.938 | 0.35 | 0.007 |  |\n| 2 | C.man | 25.85 | 22.16 | 0.668 | 29.31 | 0.862 | 29.75 | 0.873 | 0.44 | 0.011 |\n| House | 23.14 | 25.46 | 0.724 | 33.99 | 0.869 | 34.56 | 0.879 | 0.57 | 0.009 |  |\n| Lena | 23.87 | 27.04 | 0.872 | 33.64 | 0.957 | 34.12 | 0.966 | 0.49 | 0.008 |  |\n| Barbara | 24.79 | 23.25 | 0.789 | 27.20 | 0.926 | 27.29 | 0.930 | 0.08 | 0.004 |  |","| Noiseless |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |\n| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |\n| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |\n| Noisy |  |  |  |  |  |  |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |\n| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |\n| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |\n| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |\n| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |\n| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |\n| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |\n| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |\n| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |\n| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |",0]
["| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |  |  |\n| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |\n| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 |  |\n| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 |  |","| Barbara | 30.81 | 23.34 | 0.795 | 30.97 | 0.970 | 31.09 | 0.974 | 0.12 | 0.003 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Average | 30.44 | 24.61 | 0.788 | 33.20 | 0.931 | 33.56 | 0.938 | 0.35 | 0.007 |  |\n| 2 | C.man | 25.85 | 22.16 | 0.668 | 29.31 | 0.862 | 29.75 | 0.873 | 0.44 | 0.011 |\n| House | 23.14 | 25.46 | 0.724 | 33.99 | 0.869 | 34.56 | 0.879 | 0.57 | 0.009 |  |\n| Lena | 23.87 | 27.04 | 0.872 | 33.64 | 0.957 | 34.12 | 0.966 | 0.49 | 0.008 |  |\n| Barbara | 24.79 | 23.25 | 0.789 | 27.20 | 0.926 | 27.29 | 0.930 | 0.08 | 0.004 |  |\n| Average | 24.43 | 24.47 | 0.763 | 31.04 | 0.904 | 31.43 | 0.912 | 0.39 | 0.008 |  |\n| 3 | C.man | 40.00 | 20.77 | 0.624 | 31.24 | 0.899 | 31.17 | 0.910 | -0.08 | 0.011 |\n| House | 40.00 | 24.11 | 0.697 | 36.98 | 0.918 | 37.57 | 0.928 | 0.60 | 0.009 |  |\n| Lena | 40.00 | 25.84 | 0.829 | 34.74 | 0.968 | 35.14 | 0.973 | 0.40 | 0.004 |  |\n| Barbara | 40.00 | 22.49 | 0.737 | 28.53 | 0.933 | 28.31 | 0.930 | -0.23 | -0.003 |  |\n| Average | 40.00 | 23.30 | 0.722 | 32.87 | 0.930 | 33.05 | 0.935 | 0.18 | 0.006 |  |\n| 4 | C.man | 18.53 | 24.63 | 0.609 | 28.63 | 0.858 | 29.21 | 0.873 | 0.58 | 0.014 |\n| House | 15.99 | 28.08 | 0.631 | 33.85 | 0.868 | 34.41 | 0.879 | 0.57 | 0.011 |  |\n| Lena | 16.47 | 28.81 | 0.903 | 33.76 | 0.957 | 34.29 | 0.967 | 0.52 | 0.010 |  |\n| Barbara | 17.35 | 24.22 | 0.849 | 26.09 | 0.908 | 26.17 | 0.913 | 0.07 | 0.005 |  |\n| Average | 17.17 | 26.44 | 0.748 | 30.58 | 0.898 | 31.02 | 0.908 | 0.44 | 0.010 |  |\n| 5 | C.man | 29.19 | 23.36 | 0.734 | 27.69 | 0.858 | 28.58 | 0.873 | 0.88 | 0.015 |\n| House | 26.61 | 27.82 | 0.794 | 33.55 | 0.874 | 34.17 | 0.883 | 0.62 | 0.009 |  |\n| Lena | 27.18 | 29.16 | 0.928 | 34.00 | 0.968 | 34.38 | 0.973 | 0.38 | 0.005 |  |\n| Barbara | 28.07 | 23.77 | 0.831 | 24.93 | 0.883 | 25.01 | 0.886 | 0.07 | 0.003 |  |\n| Average | 27.77 | 26.03 | 0.822 | 30.04 | 0.896 | 30.53 | 0.904 | 0.49 | 0.008 |  |\n| 6 | C.man | 17.76 | 29.83 | 0.703 | 34.69 | 0.932 | 34.89 | 0.939 | 0.21 | 0.007 |\n| House | 15.15 | 30.00 | 0.682 | 37.08 | 0.920 | 36.74 | 0.911 | -0.34 | -0.010 |  |\n| Lena | 15.52 | 30.02 | 0.911 | 36.34 | 0.972 | 36.32 | 0.972 | -0.02 | 0.000 |  |\n| Barbara | 16.59 | 29.78 | 0.939 | 35.22 | 0.979 | 35.21 | 0.980 | -0.01 | 0.000 |  |\n| Average | 16.36 | 29.91 | 0.809 | 35.83 | 0.951 | 35.79 | 0.951 | -0.04 | -0.001 |  |",1]
["| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |  |  |\n| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |\n| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 |  |\n| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 |  |","| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |\n| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |\n| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |\n| Noisy |  |  |  |  |  |  |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |\n| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |\n| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |\n| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |\n| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |\n| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |\n| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |\n| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |\n| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |\n| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |",0]
["| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |\n| --- | --- | --- | --- |\n| ComputeUnits | 1 | 20 | 26 |\n| USD/hr | 0.085 | 0.68 | 2.0 |","| USD/(hr×ComputeUnit) | 0.085 | 0.034 | 0.0769 |\n| --- | --- | --- | --- |\n| Architecture | 32-bit | 64-bit | 64-bit |\n| Memory | 1.7GB | 7GB | 68.4GB |\n| Storage | 160GB | 1690GB | 1690GB |",1]
["| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |\n| --- | --- | --- | --- |\n| ComputeUnits | 1 | 20 | 26 |\n| USD/hr | 0.085 | 0.68 | 2.0 |","| ComputeUnits | Memory | Storage | VMType |\n| --- | --- | --- | --- |\n| 1units | 1.875GB | 211.25GB | 1-1(1) |\n| 4units | 7.5GB | 845GB | 1-2(2) |\n| 8units | 15GB | 1690GB | 1-3(3) |\n| 6.5units | 17.1GB | 422.5GB | 2-1(4) |\n| 13units | 34.2GB | 845GB | 2-2(5) |\n| 26units | 68.4GB | 1690GB | 2-3(6) |\n| 5units | 1.875GB | 422.5GB | 3-1(7) |\n| 20units | 7GB | 1690GB | 3-2(8) |",0]
["| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |\n| --- | --- | --- | --- |\n| ComputeUnits | 1 | 20 | 26 |\n| USD/hr | 0.085 | 0.68 | 2.0 |\n| USD/(hr×ComputeUnit) | 0.085 | 0.034 | 0.0769 |\n| Architecture | 32-bit | 64-bit | 64-bit |","| Memory | 1.7GB | 7GB | 68.4GB |\n| --- | --- | --- | --- |\n| Storage | 160GB | 1690GB | 1690GB |",1]
["| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |\n| --- | --- | --- | --- |\n| ComputeUnits | 1 | 20 | 26 |\n| USD/hr | 0.085 | 0.68 | 2.0 |\n| USD/(hr×ComputeUnit) | 0.085 | 0.034 | 0.0769 |\n| Architecture | 32-bit | 64-bit | 64-bit |","| 5units | 1.875GB | 422.5GB | 3-1(7) |\n| --- | --- | --- | --- |\n| 20units | 7GB | 1690GB | 3-2(8) |",0]
["|  | aero | bike | boat | bus | car | chair | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |\n| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 |\n| 3D-R2N2[Res3D-GRU-3] | 0.544 | 0.499 | 0.560 | 0.816 | 0.699 | 0.280 | 0.649 | 0.332 | 0.672 |","| VSL(jointlytrained) | 0.514 | 0.269 | 0.327 | 0.558 | 0.633 | 0.199 | 0.301 | 0.173 | 0.402 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VSL(separatelytrained) | 0.631 | 0.657 | 0.554 | 0.856 | 0.786 | 0.311 | 0.656 | 0.601 | 0.804 |",1]
["|  | aero | bike | boat | bus | car | chair | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |\n| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 |\n| 3D-R2N2[Res3D-GRU-3] | 0.544 | 0.499 | 0.560 | 0.816 | 0.699 | 0.280 | 0.649 | 0.332 | 0.672 |","| Methods | aero | bicycle | boat | bus | car | chair | table | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VDPM | 34.6 | 41.7 | 1.5 | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 |\n| DPM-VOC+VP | 37.4 | 43.9 | 0.3 | 48.6 | 36.9 | 6.1 | 2.1 | 31.8 | 11.8 | 11.1 |\n| RCNN+Alex | 54.0 | 50.5 | 15.1 | 57.1 | 41.8 | 15.7 | 18.6 | 50.8 | 28.4 | 46.1 |\n| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |\n| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |\n| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |\n| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |\n| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |\n| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |\n| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |\n| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |\n| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |\n| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |\n| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |\n| RCNN+Alex | 27.5 | 25.8 | 6.5 | 45.8 | 29.7 | 8.5 | 12.0 | 31.4 | 17.7 | 29.7 |\n| VpKps | 46.6 | 42.0 | 12.7 | 64.6 | 42.7 | 20.8 | 18.5 | 38.8 | 33.5 | 42.5 |\n| OursShare300 | 45.4 | 33.4 | 13.7 | 52.9 | 32.9 | 5.3 | 27.2 | 38.8 | 27.3 | 37.4 |\n| OursShare500 | 45.9 | 39.6 | 14.0 | 54.0 | 35.4 | 7.4 | 26.4 | 40.4 | 29.2 | 41.5 |\n| VDPM | 8.0 | 14.3 | 0.3 | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 |\n| DPM-VOC+VP | 9.7 | 16.7 | 2.2 | 42.1 | 24.6 | 4.2 | 2.1 | 10.5 | 4.1 | 20.7 |\n| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |\n| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |\n| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |\n| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 |",0]
["|  | aero | bike | boat | bus | car | chair | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |\n| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 |","| 3D-R2N2[Res3D-GRU-3] | 0.544 | 0.499 | 0.560 | 0.816 | 0.699 | 0.280 | 0.649 | 0.332 | 0.672 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VSL(jointlytrained) | 0.514 | 0.269 | 0.327 | 0.558 | 0.633 | 0.199 | 0.301 | 0.173 | 0.402 |\n| VSL(separatelytrained) | 0.631 | 0.657 | 0.554 | 0.856 | 0.786 | 0.311 | 0.656 | 0.601 | 0.804 |",1]
["|  | aero | bike | boat | bus | car | chair | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |\n| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 |","| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |\n| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |\n| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |\n| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |\n| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |\n| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |\n| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |\n| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |\n| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |\n| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |\n| RCNN+Alex | 27.5 | 25.8 | 6.5 | 45.8 | 29.7 | 8.5 | 12.0 | 31.4 | 17.7 | 29.7 |\n| VpKps | 46.6 | 42.0 | 12.7 | 64.6 | 42.7 | 20.8 | 18.5 | 38.8 | 33.5 | 42.5 |\n| OursShare300 | 45.4 | 33.4 | 13.7 | 52.9 | 32.9 | 5.3 | 27.2 | 38.8 | 27.3 | 37.4 |\n| OursShare500 | 45.9 | 39.6 | 14.0 | 54.0 | 35.4 | 7.4 | 26.4 | 40.4 | 29.2 | 41.5 |\n| VDPM | 8.0 | 14.3 | 0.3 | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 |\n| DPM-VOC+VP | 9.7 | 16.7 | 2.2 | 42.1 | 24.6 | 4.2 | 2.1 | 10.5 | 4.1 | 20.7 |\n| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |\n| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |\n| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |\n| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 |",0]
["| 1Input:connectivewordxandrawtextT |\n| --- |\n| 2InitializeScore1={},Score2={} |\n| 3GettheArg1candidatesetC1ofx |\n| 4forc1inC1 |\n| 5s1=rank(c1) |","| 6Score1=Score1 |\n| --- |\n| 7endfor |\n| 8GettheArg2candidatesetC2ofx |\n| 9forc2inC2 |\n| 10s2=rank(c2) |\n| 11Score2=Score2 |\n| 12endfor |\n| 13Findc1,let |\n| 14FindnatureendofArg1 |\n| 15GetArg1 |\n| 16Findc2,let |\n| 17FindnatureendofArg2 |\n| 18GetArg2 |\n| 19returnArg1,Arg2 |",1]
["| 1Input:connectivewordxandrawtextT |\n| --- |\n| 2InitializeScore1={},Score2={} |\n| 3GettheArg1candidatesetC1ofx |\n| 4forc1inC1 |\n| 5s1=rank(c1) |","| System | P | R | F0.5 |\n| --- | --- | --- | --- |\n| Baseline | 50.56 | 22.68 | 40.58 |\n| Reranking |  |  |  |\n| 5-best | 50.32 | 22.99 | 40.65 |\n| 10-best | 50.79 | 22.92 | 40.85 |\n| Editselection |  |  |  |\n| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 |",0]
["| 1Input:connectivewordxandrawtextT |\n| --- |\n| 2InitializeScore1={},Score2={} |\n| 3GettheArg1candidatesetC1ofx |\n| 4forc1inC1 |\n| 5s1=rank(c1) |\n| 6Score1=Score1 |\n| 7endfor |\n| 8GettheArg2candidatesetC2ofx |\n| 9forc2inC2 |\n| 10s2=rank(c2) |\n| 11Score2=Score2 |\n| 12endfor |\n| 13Findc1,let |\n| 14FindnatureendofArg1 |\n| 15GetArg1 |\n| 16Findc2,let |\n| 17FindnatureendofArg2 |","| 18GetArg2 |\n| --- |\n| 19returnArg1,Arg2 |",1]
["| 1Input:connectivewordxandrawtextT |\n| --- |\n| 2InitializeScore1={},Score2={} |\n| 3GettheArg1candidatesetC1ofx |\n| 4forc1inC1 |\n| 5s1=rank(c1) |\n| 6Score1=Score1 |\n| 7endfor |\n| 8GettheArg2candidatesetC2ofx |\n| 9forc2inC2 |\n| 10s2=rank(c2) |\n| 11Score2=Score2 |\n| 12endfor |\n| 13Findc1,let |\n| 14FindnatureendofArg1 |\n| 15GetArg1 |\n| 16Findc2,let |\n| 17FindnatureendofArg2 |","| Reranking |  |  |  |\n| --- | --- | --- | --- |\n| 5-best | 50.32 | 22.99 | 40.65 |\n| 10-best | 50.79 | 22.92 | 40.85 |\n| Editselection |  |  |  |\n| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |\n| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |","| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |\n| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |\n| 222CNN | 101 | 74 | 5 | 27 | 0.937 | 0.733 | 0.822 | 309 | 273 | 11 | 36 | 0.961 |\n| 224ABC | 131 | 108 | 10 | 23 | 0.915 | 0.824 | 0.867 | 296 | 281 | 13 | 15 | 0.956 |\n| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |\n| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |\n| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |\n| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |\n| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |","| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |","| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |\n| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |\n| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 |",0]
["| No. | Class | Total | Training | Test | No. | Class | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |\n| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |\n| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |\n| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |","| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |\n| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",1]
["| No. | Class | Total | Training | Test | No. | Class | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |\n| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |\n| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |\n| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |","| No. | Class | Total | Training | Test | No. | Class | Total | Training |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |\n| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |\n| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |\n| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 |\n| 5 | Slashpine | 161 | 16 | 145 | 12 | Mudﬂats | 503 | 50 |\n| 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |\n| 7 | Hardwoodswamp | 105 | 11 | 94 |  |  |  |  |",0]
["| No. | Class | Total | Training | Test | No. | Class | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |","| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |\n| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |\n| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |\n| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |\n| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",1]
["| No. | Class | Total | Training | Test | No. | Class | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |","| 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | Hardwoodswamp | 105 | 11 | 94 |  |  |  |  |",0]
["| # | Question |\n| --- | --- |\n| Q1 | Whichartworksdoyouprefer? |\n| Q2 | Whatisyourpreferenceontheartworks? |\n| Q3 | Whatdidyoubecomeawareofonyourpreference? |","| Q4 | Whatdidyoubecomeawareofonyourpreference? |\n| --- | --- |\n| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |\n| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |\n| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |\n| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? |",1]
["| # | Question |\n| --- | --- |\n| Q1 | Whichartworksdoyouprefer? |\n| Q2 | Whatisyourpreferenceontheartworks? |\n| Q3 | Whatdidyoubecomeawareofonyourpreference? |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| # | Question |\n| --- | --- |\n| Q1 | Whichartworksdoyouprefer? |\n| Q2 | Whatisyourpreferenceontheartworks? |","| Q3 | Whatdidyoubecomeawareofonyourpreference? |\n| --- | --- |\n| Q4 | Whatdidyoubecomeawareofonyourpreference? |\n| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |\n| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |\n| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |\n| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? |",1]
["| # | Question |\n| --- | --- |\n| Q1 | Whichartworksdoyouprefer? |\n| Q2 | Whatisyourpreferenceontheartworks? |","| 6 | NE | Whetherwisanamedentity(NE) |\n| --- | --- | --- |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |\n| --- | --- | --- | --- |\n| englishdailabor | 68.4 | 67.1 | 72.4 |\n| aisoposntua | 72.3 | 62.0 | 69.9 |\n| tweetsemevaltest | 58.3 | 62.8 | 65.2 |\n| sentistrengthtwitter | 58.8 | 59.1 | 61.2 |\n| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |\n| sanders | 61.5 | 54.1 | 56.4 |\n| sentistrengthmyspace | 50.2 | 52.3 | 52.2 |","| sentistrengthdigg | 45.4 | 50.1 | 50.6 |\n| --- | --- | --- | --- |\n| nikolaosted | 51.3 | 45.9 | 49.0 |\n| debate | 57.1 | 45.9 | 47.1 |\n| sentistrengthrw | 48.3 | 48.5 | 45.5 |\n| sentistrengthbbc | 34.8 | 45.5 | 43.8 |\n| vadernyt | 28.0 | 38.9 | 39.2 |",1]
["| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |\n| --- | --- | --- | --- |\n| englishdailabor | 68.4 | 67.1 | 72.4 |\n| aisoposntua | 72.3 | 62.0 | 69.9 |\n| tweetsemevaltest | 58.3 | 62.8 | 65.2 |\n| sentistrengthtwitter | 58.8 | 59.1 | 61.2 |\n| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |\n| sanders | 61.5 | 54.1 | 56.4 |\n| sentistrengthmyspace | 50.2 | 52.3 | 52.2 |","| Accuracy | Coverage |  |\n| --- | --- | --- |\n| nikolaosted | 0.919 | 0.014 |\n| sentistrengthmyspace | 0.800 | 0.091 |\n| aisoposntua | 0.787 | 0.526 |\n| tweetsemevaltest | 0.693 | 0.071 |\n| englishdailabor | 0.687 | 0.064 |\n| sentistrengthyoutube | 0.686 | 0.085 |\n| sentistrengthtwitter | 0.627 | 0.097 |\n| sentistrengthrw | 0.619 | 0.148 |\n| sentistrengthdigg | 0.600 | 0.028 |\n| sanders | 0.359 | 0.045 |\n| debate | 0.339 | 0.015 |\n| sentistrengthbbc | 0.173 | 0.006 |\n| vadernyt | - | - |",0]
["| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |\n| --- | --- | --- | --- |\n| englishdailabor | 68.4 | 67.1 | 72.4 |\n| aisoposntua | 72.3 | 62.0 | 69.9 |\n| tweetsemevaltest | 58.3 | 62.8 | 65.2 |","| sentistrengthtwitter | 58.8 | 59.1 | 61.2 |\n| --- | --- | --- | --- |\n| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |\n| sanders | 61.5 | 54.1 | 56.4 |\n| sentistrengthmyspace | 50.2 | 52.3 | 52.2 |\n| sentistrengthdigg | 45.4 | 50.1 | 50.6 |\n| nikolaosted | 51.3 | 45.9 | 49.0 |\n| debate | 57.1 | 45.9 | 47.1 |\n| sentistrengthrw | 48.3 | 48.5 | 45.5 |\n| sentistrengthbbc | 34.8 | 45.5 | 43.8 |\n| vadernyt | 28.0 | 38.9 | 39.2 |",1]
["| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |\n| --- | --- | --- | --- |\n| englishdailabor | 68.4 | 67.1 | 72.4 |\n| aisoposntua | 72.3 | 62.0 | 69.9 |\n| tweetsemevaltest | 58.3 | 62.8 | 65.2 |","| sentistrengthbbc | 0.173 | 0.006 |\n| --- | --- | --- |\n| vadernyt | - | - |",0]
["| Method | mAP |\n| --- | --- |\n| SSD321 | 76.4 |","| SSD321+PM(b)<br>SSD321+PM(c)<br>SSD321+PM(d) | 76.9<br>77.1<br>77.0 |\n| --- | --- |\n| SSD321+PM(c)+DM(Eltw-sum)<br>SSD321+PM(c)+DM(Eltw-prod) | 78.4<br>78.6 |\n| SSD321+PM(c)+DM(Eltw-prod)+Stage2 | 77.9 |",1]
["| Method | mAP |\n| --- | --- |\n| SSD321 | 76.4 |","| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |\n| HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) |\n| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |\n| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",0]
["| Method | mAP |\n| --- | --- |\n| SSD321 | 76.4 |\n| SSD321+PM(b)<br>SSD321+PM(c)<br>SSD321+PM(d) | 76.9<br>77.1<br>77.0 |","| SSD321+PM(c)+DM(Eltw-sum)<br>SSD321+PM(c)+DM(Eltw-prod) | 78.4<br>78.6 |\n| --- | --- |\n| SSD321+PM(c)+DM(Eltw-prod)+Stage2 | 77.9 |",1]
["| Method | mAP |\n| --- | --- |\n| SSD321 | 76.4 |\n| SSD321+PM(b)<br>SSD321+PM(c)<br>SSD321+PM(d) | 76.9<br>77.1<br>77.0 |","| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |\n| --- | --- | --- | --- | --- |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |\n| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",0]
["| Activities | PT | GL | BD | PN | PO | DS | HT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |\n| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |\n| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |","| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",1]
["| Activities | PT | GL | BD | PN | PO | DS | HT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |\n| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |\n| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |","|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 15 | 4 | - | 6 | 1 | 1 |\n| SL | 2 | 17 | 1 | - | 9 | 15 |\n| SR | 2 | 1 | 27 | 1 | 5 | 8 |\n| BH | 5 | - | - | 14 | 2 | 6 |\n| SH | - | 7 | 4 | - | 9 | 12 |\n| Del | 1 | 2 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",0]
["| Activities | PT | GL | BD | PN | PO | DS | HT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |\n| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |\n| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |","| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",1]
["| Activities | PT | GL | BD | PN | PO | DS | HT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |\n| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |\n| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |","| Del | 1 | 2 | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",0]
["|  | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 |","| CNN-static | 0.741 | 0.725 | 0.715 | 0.760 | 0.728 | 0.746 | 0.746 | 0.781 | 0.746 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CNN+LSTM | 1.042 | 1.077 | 1.029 | 1.092 | 1.029 | 1.013 | 1.031 | 1.035 | 1.054 |\n| CNN+GRU | 1.022 | 1.034 | 0.995 | 1.081 | 0.999 | 1.012 | 1.008 | 1.023 | 1.045 |",1]
["|  | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 |","| Architectures | Accuracy |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |\n| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |\n| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |\n| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |\n| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |\n| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",0]
["|  | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 |\n| CNN-static | 0.741 | 0.725 | 0.715 | 0.760 | 0.728 | 0.746 | 0.746 | 0.781 | 0.746 |","| CNN+LSTM | 1.042 | 1.077 | 1.029 | 1.092 | 1.029 | 1.013 | 1.031 | 1.035 | 1.054 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CNN+GRU | 1.022 | 1.034 | 0.995 | 1.081 | 0.999 | 1.012 | 1.008 | 1.023 | 1.045 |",1]
["|  | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 |\n| CNN-static | 0.741 | 0.725 | 0.715 | 0.760 | 0.728 | 0.746 | 0.746 | 0.781 | 0.746 |","| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",0]
["|  | Finalpass |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 |","| FlowFields | 5.810 | 2.621 | 31.799 | 4.851 | 33.890 | 3.748 | 1.056 | 25.700 | 2.784 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FullFlow | 5.895 | 2.838 | 30.793 | 4.905 | 35.592 | 3.601 | 1.296 | 22.424 | 2.944 |\n| DiscreteFlow | 6.077 | 2.937 | 31.685 | 5.106 | 36.339 | 3.567 | 1.108 | 23.626 | 3.398 |\n| EpicFlow | 6.285 | 3.060 | 32.564 | 5.205 | 38.021 | 4.115 | 1.360 | 26.595 | 3.660 |\n| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 |\n| NNF-Local | 7.249 | 2.973 | 42.088 | 4.896 | 44.866 | 5.386 | 1.397 | 37.896 | 2.722 |\n| PH-Flow | 7.423 | 3.795 | 36.960 | 5.550 | 44.926 | 4.388 | 1.714 | 26.202 | 3.612 |\n| Classic+NL | 9.153 | 4.814 | 44.509 | 7.215 | 60.291 | 7.961 | 3.770 | 42.079 | 6.191 |",1]
["|  | Finalpass |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 |","| Method | AEE-05 | AEE-5so | AEE-tot | AAE-05 | AAE-5so | AAE-tot |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFlow | 0.30 | 3.99 | 0.47 | 9.35 | 14.65 | 9.59 |\n| HAOF | 0.37 | 4.59 | 0.56 | 10.95 | 19.40 | 11.33 |\n| LDOF | 0.35 | 2.85 | 0.46 | 9.91 | 9.72 | 9.9 |\n| USCNN | 0.46 | 8.7 | 0.81 | 12.74 | 59.50 | 14.70 |",0]
["|  | Finalpass |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 |\n| FlowFields | 5.810 | 2.621 | 31.799 | 4.851 | 33.890 | 3.748 | 1.056 | 25.700 | 2.784 |\n| FullFlow | 5.895 | 2.838 | 30.793 | 4.905 | 35.592 | 3.601 | 1.296 | 22.424 | 2.944 |\n| DiscreteFlow | 6.077 | 2.937 | 31.685 | 5.106 | 36.339 | 3.567 | 1.108 | 23.626 | 3.398 |\n| EpicFlow | 6.285 | 3.060 | 32.564 | 5.205 | 38.021 | 4.115 | 1.360 | 26.595 | 3.660 |\n| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 |","| NNF-Local | 7.249 | 2.973 | 42.088 | 4.896 | 44.866 | 5.386 | 1.397 | 37.896 | 2.722 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PH-Flow | 7.423 | 3.795 | 36.960 | 5.550 | 44.926 | 4.388 | 1.714 | 26.202 | 3.612 |\n| Classic+NL | 9.153 | 4.814 | 44.509 | 7.215 | 60.291 | 7.961 | 3.770 | 42.079 | 6.191 |",1]
["|  | Finalpass |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 |\n| FlowFields | 5.810 | 2.621 | 31.799 | 4.851 | 33.890 | 3.748 | 1.056 | 25.700 | 2.784 |\n| FullFlow | 5.895 | 2.838 | 30.793 | 4.905 | 35.592 | 3.601 | 1.296 | 22.424 | 2.944 |\n| DiscreteFlow | 6.077 | 2.937 | 31.685 | 5.106 | 36.339 | 3.567 | 1.108 | 23.626 | 3.398 |\n| EpicFlow | 6.285 | 3.060 | 32.564 | 5.205 | 38.021 | 4.115 | 1.360 | 26.595 | 3.660 |\n| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 |","| LDOF | 0.35 | 2.85 | 0.46 | 9.91 | 9.72 | 9.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| USCNN | 0.46 | 8.7 | 0.81 | 12.74 | 59.50 | 14.70 |",0]
["|  | 0.0001 | 0.001 | 0.01 | 0.1 |\n| --- | --- | --- | --- | --- |\n| softmax | 0.553 | 0.730 | 0.881 | 0.957 |\n| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |\n| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |","| L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |\n| --- | --- | --- | --- | --- |\n| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |\n| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |\n| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |\n| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |\n| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 |",1]
["|  | 0.0001 | 0.001 | 0.01 | 0.1 |\n| --- | --- | --- | --- | --- |\n| softmax | 0.553 | 0.730 | 0.881 | 0.957 |\n| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |\n| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |","| Model | Noise | AnnotatedEvidence |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |\n| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 |",0]
["|  | 0.0001 | 0.001 | 0.01 | 0.1 |\n| --- | --- | --- | --- | --- |\n| softmax | 0.553 | 0.730 | 0.881 | 0.957 |\n| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |\n| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |","| L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |\n| --- | --- | --- | --- | --- |\n| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |\n| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |\n| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |\n| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |\n| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 |",1]
["|  | 0.0001 | 0.001 | 0.01 | 0.1 |\n| --- | --- | --- | --- | --- |\n| softmax | 0.553 | 0.730 | 0.881 | 0.957 |\n| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |\n| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |\n| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 |",0]
["| Region | Numberofmentions | Numberofusers(senders) |\n| --- | --- | --- |\n| California | 2,349,901 | 217,439 |\n| LosAngeles | 918,360 | 51,625 |","| UK | 3,721,716 | 612,368 |\n| --- | --- | --- |\n| London | 614,045 | 58,046 |",1]
["| Region | Numberofmentions | Numberofusers(senders) |\n| --- | --- | --- |\n| California | 2,349,901 | 217,439 |\n| LosAngeles | 918,360 | 51,625 |","| Region | α |\n| --- | --- |\n| California | 3.48 |\n| LosAngeles | 2.29 |\n| UK | 2.54 |\n| London | 2.01 |",0]
["| Region | Numberofmentions | Numberofusers(senders) |\n| --- | --- | --- |\n| California | 2,349,901 | 217,439 |","| LosAngeles | 918,360 | 51,625 |\n| --- | --- | --- |\n| UK | 3,721,716 | 612,368 |\n| London | 614,045 | 58,046 |",1]
["| Region | Numberofmentions | Numberofusers(senders) |\n| --- | --- | --- |\n| California | 2,349,901 | 217,439 |","| UK | 2.54 |\n| --- | --- |\n| London | 2.01 |",0]
["|  | V&K | Render-for-CNN |\n| --- | --- | --- |\n| Problemformulation | Classiﬁcation | Fine-grainedclassiﬁcation |","| Representation | Discretizedangles(21bins) | Discretizedangles(360bins) |\n| --- | --- | --- |\n| Lossfunction | Cross-entropy | Weightedcross-entropy |\n| Dataaugmentation | 2Djittering | Renderedimages |\n| Networkarchitecture | VGG-Net(FC7) | AlexNet(FC7) |",1]
["|  | V&K | Render-for-CNN |\n| --- | --- | --- |\n| Problemformulation | Classiﬁcation | Fine-grainedclassiﬁcation |","| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |\n| VGG16 | 224×224 | 10 |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["|  | V&K | Render-for-CNN |\n| --- | --- | --- |\n| Problemformulation | Classiﬁcation | Fine-grainedclassiﬁcation |\n| Representation | Discretizedangles(21bins) | Discretizedangles(360bins) |\n| Lossfunction | Cross-entropy | Weightedcross-entropy |","| Dataaugmentation | 2Djittering | Renderedimages |\n| --- | --- | --- |\n| Networkarchitecture | VGG-Net(FC7) | AlexNet(FC7) |",1]
["|  | V&K | Render-for-CNN |\n| --- | --- | --- |\n| Problemformulation | Classiﬁcation | Fine-grainedclassiﬁcation |\n| Representation | Discretizedangles(21bins) | Discretizedangles(360bins) |\n| Lossfunction | Cross-entropy | Weightedcross-entropy |","| VGG16 | 224×224 | 10 |\n| --- | --- | --- |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| Code | Region | Numberofpatents |\n| --- | --- | --- |\n| WO | WorldIntellectualPropertyOrganization | 292 |\n| EP | EuropeanPatentOﬃce | 163 |\n| KR | RepublicofKorea | 51 |\n| RU | RussianFederation | 5 |\n| ZA | SouthAfrica | 3 |\n| IL | Israel | 3 |\n| ES | Spain | 3 |","| SG | Singapore | 2 |\n| --- | --- | --- |\n| MX | Mexico | 1 |",1]
["| Code | Region | Numberofpatents |\n| --- | --- | --- |\n| WO | WorldIntellectualPropertyOrganization | 292 |\n| EP | EuropeanPatentOﬃce | 163 |\n| KR | RepublicofKorea | 51 |\n| RU | RussianFederation | 5 |\n| ZA | SouthAfrica | 3 |\n| IL | Israel | 3 |\n| ES | Spain | 3 |","| Pid | Workshop | Block | Company | Country | Anchor | EstProd |\n| --- | --- | --- | --- | --- | --- | --- |\n| P130 | N | G | G | Ukraine | high | 100.0 |\n| P334 | Y | I3 | I | Poland | high | 20.0 |\n| P318 | Y | I3 | I | Poland | low | 1.5 |\n| P250 | N | K | K | Vietnam | low | 15.0 |\n| P10 | N | A | A | Romania | high | 80.0 |",0]
["| Code | Region | Numberofpatents |\n| --- | --- | --- |\n| WO | WorldIntellectualPropertyOrganization | 292 |\n| EP | EuropeanPatentOﬃce | 163 |\n| KR | RepublicofKorea | 51 |\n| RU | RussianFederation | 5 |\n| ZA | SouthAfrica | 3 |","| IL | Israel | 3 |\n| --- | --- | --- |\n| ES | Spain | 3 |\n| SG | Singapore | 2 |\n| MX | Mexico | 1 |",1]
["| Code | Region | Numberofpatents |\n| --- | --- | --- |\n| WO | WorldIntellectualPropertyOrganization | 292 |\n| EP | EuropeanPatentOﬃce | 163 |\n| KR | RepublicofKorea | 51 |\n| RU | RussianFederation | 5 |\n| ZA | SouthAfrica | 3 |","| P250 | N | K | K | Vietnam | low | 15.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P10 | N | A | A | Romania | high | 80.0 |",0]
["| Model | Noise | AnnotatedEvidence |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |","| Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 |",1]
["| Model | Noise | AnnotatedEvidence |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |","|  | 0.0001 | 0.001 | 0.01 | 0.1 |\n| --- | --- | --- | --- | --- |\n| softmax | 0.553 | 0.730 | 0.881 | 0.957 |\n| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |\n| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |\n| L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |\n| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |\n| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |\n| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |\n| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |\n| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 |",0]
["| Model | Noise | AnnotatedEvidence |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |\n| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 |",1]
["| Model | Noise | AnnotatedEvidence |\n| --- | --- | --- |\n|  |  |  |","| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |\n| --- | --- | --- | --- | --- |\n| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |\n| L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |\n| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |\n| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |\n| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |\n| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |\n| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 |",0]
["| Image | KR | FoE | BPFA | JSM | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |\n| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 |","| Butterﬂy | 30.22/0.9717 | 30.04/0.9713 | 30.07/0.9595 | 31.85/0.9797 | 33.18/0.9844 |\n| --- | --- | --- | --- | --- | --- |\n| Foreman | 40.51/0.9848 | 38.81/0.9863 | 38.53/0.9733 | 39.70/0.9870 | 43.30/0.9887 |\n| Average | 32.50/0.9629 | 32.73/0.9674 | 33.35/0.9620 | 35.30/0.9784 | 36.89/0.9812 |",1]
["| Image | KR | FoE | BPFA | JSM | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |\n| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Image | KR | FoE | BPFA | JSM | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |\n| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 |\n| Butterﬂy | 30.22/0.9717 | 30.04/0.9713 | 30.07/0.9595 | 31.85/0.9797 | 33.18/0.9844 |","| Foreman | 40.51/0.9848 | 38.81/0.9863 | 38.53/0.9733 | 39.70/0.9870 | 43.30/0.9887 |\n| --- | --- | --- | --- | --- | --- |\n| Average | 32.50/0.9629 | 32.73/0.9674 | 33.35/0.9620 | 35.30/0.9784 | 36.89/0.9812 |",1]
["| Image | KR | FoE | BPFA | JSM | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |\n| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 |\n| Butterﬂy | 30.22/0.9717 | 30.04/0.9713 | 30.07/0.9595 | 31.85/0.9797 | 33.18/0.9844 |","| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| IndicatorBits | Description |\n| --- | --- |\n| 0000 | ControlPacket |\n| 0001 | CommonDataPacket |\n| 0010 | ChannelControlPacket |","| 1001 | AcknowledgementtoCommondataPacket |\n| --- | --- |\n| 1010 | AcknowledgementtoChannelControlPacket |",1]
["| IndicatorBits | Description |\n| --- | --- |\n| 0000 | ControlPacket |\n| 0001 | CommonDataPacket |\n| 0010 | ChannelControlPacket |","| Signals | Description |\n| --- | --- |\n| clk | Thisistheglobalclocksignal |\n| resetn | Activelowsystemreset |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |\n| bo[7:0] | EnhancedBluecolorcomponent |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",0]
["| IndicatorBits | Description |\n| --- | --- |\n| 0000 | ControlPacket |","| 0001 | CommonDataPacket |\n| --- | --- |\n| 0010 | ChannelControlPacket |\n| 1001 | AcknowledgementtoCommondataPacket |\n| 1010 | AcknowledgementtoChannelControlPacket |",1]
["| IndicatorBits | Description |\n| --- | --- |\n| 0000 | ControlPacket |","| bo[7:0] | EnhancedBluecolorcomponent |\n| --- | --- |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",0]
["| Type | Conﬁguration |\n| --- | --- |\n| Sigmoid | - |\n| FullyConnected | n:2 |\n| Dropout | ratio:0.5 |\n| FullyConnected | n:512 |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:128,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:64,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |","| Convolution | n:32,k:3×3,s:1,p:1 |\n| --- | --- |\n| Input | 45×45gray-scaleimage |",1]
["| Type | Conﬁguration |\n| --- | --- |\n| Sigmoid | - |\n| FullyConnected | n:2 |\n| Dropout | ratio:0.5 |\n| FullyConnected | n:512 |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:128,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:64,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |","| Layer | Units | Filters | FilterSize | PoolSize | Activation |\n| --- | --- | --- | --- | --- | --- |\n| 1-input | - | - | - | - | - |\n| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 3-maxpool-1 | - | - | - | 2x2 | - |\n| 4-conv-2 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 5-maxpool-2 | - | - | - | 2x2 | - |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",0]
["| Type | Conﬁguration |\n| --- | --- |\n| Sigmoid | - |\n| FullyConnected | n:2 |\n| Dropout | ratio:0.5 |\n| FullyConnected | n:512 |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:128,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |","| Convolution | n:64,k:3×3,s:1,p:1 |\n| --- | --- |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:32,k:3×3,s:1,p:1 |\n| Input | 45×45gray-scaleimage |",1]
["| Type | Conﬁguration |\n| --- | --- |\n| Sigmoid | - |\n| FullyConnected | n:2 |\n| Dropout | ratio:0.5 |\n| FullyConnected | n:512 |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:128,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |","| 5-maxpool-2 | - | - | - | 2x2 | - |\n| --- | --- | --- | --- | --- | --- |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",0]
["| Method | mAP | PERR | Hit@1 | gAP |\n| --- | --- | --- | --- | --- |\n| Baseline+rgb+z-norm+l2-norm | 36.84 | 64.38 | 78.62 | 70.31 |\n| Baseline+rgb+pcawhitening+l2-norm | 36.71 | 64.33 | 78.60 | 69.98 |","| Baseline+rgb+audio+z-norm+l2-norm | 38.61 | 69.28 | 82.75 | 75.83 |\n| --- | --- | --- | --- | --- |\n| BINN+rgb+z-norm+l2-norm | 39.12 | 69.01 | 82.27 | 75.99 |\n| BINN+rgb+pcawhitening+l2-norm | 38.42 | 69.03 | 82.31 | 75.98 |\n| BINN+rgb+audio+z-norm+l2-norm | 40.91 | 72.27 | 84.96 | 79.29 |",1]
["| Method | mAP | PERR | Hit@1 | gAP |\n| --- | --- | --- | --- | --- |\n| Baseline+rgb+z-norm+l2-norm | 36.84 | 64.38 | 78.62 | 70.31 |\n| Baseline+rgb+pcawhitening+l2-norm | 36.71 | 64.33 | 78.60 | 69.98 |","| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 4 | 0.02 | 0.62 | 2 | 4 |\n| 5 | 0.43 | 1.04 | 0 | 14 |\n| 6 | 17.90 | 1.56 | 8 | 26 |\n| 7 | 301.26 | 2.57 | 28 | 132 |\n| 8 | 33681.66 | 9.43 | 94 | 320 |\n| 9 |  | 44.97 | 259 | 1224 |\n| 10 |  | 978.67 | 712 | 3594 |",0]
["| Method | mAP | PERR | Hit@1 | gAP |\n| --- | --- | --- | --- | --- |\n| Baseline+rgb+z-norm+l2-norm | 36.84 | 64.38 | 78.62 | 70.31 |\n| Baseline+rgb+pcawhitening+l2-norm | 36.71 | 64.33 | 78.60 | 69.98 |","| Baseline+rgb+audio+z-norm+l2-norm | 38.61 | 69.28 | 82.75 | 75.83 |\n| --- | --- | --- | --- | --- |\n| BINN+rgb+z-norm+l2-norm | 39.12 | 69.01 | 82.27 | 75.99 |\n| BINN+rgb+pcawhitening+l2-norm | 38.42 | 69.03 | 82.31 | 75.98 |\n| BINN+rgb+audio+z-norm+l2-norm | 40.91 | 72.27 | 84.96 | 79.29 |",1]
["| Method | mAP | PERR | Hit@1 | gAP |\n| --- | --- | --- | --- | --- |\n| Baseline+rgb+z-norm+l2-norm | 36.84 | 64.38 | 78.62 | 70.31 |\n| Baseline+rgb+pcawhitening+l2-norm | 36.71 | 64.33 | 78.60 | 69.98 |","| 5 | 0.43 | 1.04 | 0 | 14 |\n| --- | --- | --- | --- | --- |\n| 6 | 17.90 | 1.56 | 8 | 26 |\n| 7 | 301.26 | 2.57 | 28 | 132 |\n| 8 | 33681.66 | 9.43 | 94 | 320 |\n| 9 |  | 44.97 | 259 | 1224 |\n| 10 |  | 978.67 | 712 | 3594 |",0]
["|  | cathedral | library | stationsouth |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| accuracy | time(s) | accuracy | time(s) | accuracy | time(s) | accuracy |  |\n| Baseline:singlestageESF | 4 | 24 | 0 | 25 | 2 | 23 | 0 |\n| Baseline:singlestageICP | 5 | 305 | 5 | 241 | 0 | 167 | 5 |\n| ESF-64+ICPwithout<br>adjustingﬁnalresidual | 5 | 85 | 3 | 73 | 0 | 56 | 4 |","| ESF-64+ICPwith<br>adjustingﬁnalresidual | 5 | 85 | 3 | 73 | 4 | 56 | 5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ESF-64+Go-ICPwith<br>adjustingﬁnalresidual | 5 | 85 | 3 | 73 | 4 | 56 | 5 |\n| Theproposedmethod | 5 | 300 | 5 | 223 | 5 | 320 | 5 |",1]
["|  | cathedral | library | stationsouth |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| accuracy | time(s) | accuracy | time(s) | accuracy | time(s) | accuracy |  |\n| Baseline:singlestageESF | 4 | 24 | 0 | 25 | 2 | 23 | 0 |\n| Baseline:singlestageICP | 5 | 305 | 5 | 241 | 0 | 167 | 5 |\n| ESF-64+ICPwithout<br>adjustingﬁnalresidual | 5 | 85 | 3 | 73 | 0 | 56 | 4 |","|  | Precision | Recall | F-measure | Coherence |\n| --- | --- | --- | --- | --- |\n| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |\n| AMLR(noﬁlter) | 60.0 | 74.2 | 66.7 | 0 |\n| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |\n| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |\n| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |\n| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |\n| ALCOMO | 59.9 | 74.2 | 66.7 | 2 |",0]
["|  | cathedral | library | stationsouth |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| accuracy | time(s) | accuracy | time(s) | accuracy | time(s) | accuracy |","| Baseline:singlestageESF | 4 | 24 | 0 | 25 | 2 | 23 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline:singlestageICP | 5 | 305 | 5 | 241 | 0 | 167 | 5 |\n| ESF-64+ICPwithout<br>adjustingﬁnalresidual | 5 | 85 | 3 | 73 | 0 | 56 | 4 |\n| ESF-64+ICPwith<br>adjustingﬁnalresidual | 5 | 85 | 3 | 73 | 4 | 56 | 5 |\n| ESF-64+Go-ICPwith<br>adjustingﬁnalresidual | 5 | 85 | 3 | 73 | 4 | 56 | 5 |\n| Theproposedmethod | 5 | 300 | 5 | 223 | 5 | 320 | 5 |",1]
["|  | cathedral | library | stationsouth |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| accuracy | time(s) | accuracy | time(s) | accuracy | time(s) | accuracy |","| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |\n| --- | --- | --- | --- | --- |\n| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |\n| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |\n| ALCOMO | 59.9 | 74.2 | 66.7 | 2 |",0]
["| innerproduct |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| @100 | @200 | @300 | @100 | @200 |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["| innerproduct |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| @100 | @200 | @300 | @100 | @200 |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |",0]
["| innerproduct |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| @100 | @200 | @300 | @100 | @200 |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["| innerproduct |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| @100 | @200 | @300 | @100 | @200 |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |",0]
["| Orig. | Act. |\n| --- | --- |\n| .14 | 0. |","| .62 | 0. |\n| --- | --- |\n| .52 | 0. |\n| .36 | 0. |\n| .65 | 0. |",1]
["| Orig. | Act. |\n| --- | --- |\n| .14 | 0. |","| 0.44 |\n| --- |\n| 0.46 |\n| 0.44 |\n| 0.45 |\n| 0.40 |",0]
["| Orig. | Act. |\n| --- | --- |\n| .14 | 0. |\n| .62 | 0. |","| .52 | 0. |\n| --- | --- |\n| .36 | 0. |\n| .65 | 0. |",1]
["| Orig. | Act. |\n| --- | --- |\n| .14 | 0. |\n| .62 | 0. |","| 0.45 |\n| --- |\n| 0.40 |",0]
["| Strategies | CIA-CAMP2 | KB |\n| --- | --- | --- |\n| Overall | 0.524 | 0.574 |\n| CAMP-A | 0.670 | 1.180 |\n| CAMP-B | 0.621 | 0.970 |","| CAMP-C | 0.498 | 0.732 |\n| --- | --- | --- |\n| CAMP-D | 0.092 | 0.587 |",1]
["| Strategies | CIA-CAMP2 | KB |\n| --- | --- | --- |\n| Overall | 0.524 | 0.574 |\n| CAMP-A | 0.670 | 1.180 |\n| CAMP-B | 0.621 | 0.970 |","| Strategy | ModelSize | AUC |\n| --- | --- | --- |\n| None | 56.11M | 0.927 |\n| Bneck-Final-64 | 54.30M | 0.889 |\n| Bneck-Final-256 | 55.17M | 0.917 |\n| Bneck-Final-1024 | 58.63M | 0.925 |\n| Bneck-Mid-64 | 40.77M | 0.915 |\n| Bneck-Mid-256 | 42.29M | 0.924 |\n| Bneck-Mid-1024 | 48.41M | 0.927 |\n| FC-64 | 3.07M | 0.841 |\n| FC-256 | 4.95M | 0.905 |\n| FC-1024 | 13.22M | 0.924 |\n| Global-avg-pool | 2.59M | 0.916 |",0]
["| Strategies | CIA-CAMP2 | KB |\n| --- | --- | --- |\n| Overall | 0.524 | 0.574 |\n| CAMP-A | 0.670 | 1.180 |","| CAMP-B | 0.621 | 0.970 |\n| --- | --- | --- |\n| CAMP-C | 0.498 | 0.732 |\n| CAMP-D | 0.092 | 0.587 |",1]
["| Strategies | CIA-CAMP2 | KB |\n| --- | --- | --- |\n| Overall | 0.524 | 0.574 |\n| CAMP-A | 0.670 | 1.180 |","| FC-1024 | 13.22M | 0.924 |\n| --- | --- | --- |\n| Global-avg-pool | 2.59M | 0.916 |",0]
["|  | threshold | CER | CAR | CRR | F-measure |\n| --- | --- | --- | --- | --- | --- |\n| intra-MI | 3.6·10 | 0.383 | 0.600 | 0.760 | 0.700 |\n| inter-MI | 0.0008 | 0.368 | 0.620 | 0.724 | 0.668 |","| 4-grammodel | 0.134 | 0.377 | 0.619 | 0.653 | 0.636 |\n| --- | --- | --- | --- | --- | --- |\n| linguistic6-grams | 0.188 | 0.422 | 0.578 | 0.574 | 0.576 |\n| combinedMI | 9·10 | 0.251 | 0.759 | 0.663 | 0.708 |",1]
["|  | threshold | CER | CAR | CRR | F-measure |\n| --- | --- | --- | --- | --- | --- |\n| intra-MI | 3.6·10 | 0.383 | 0.600 | 0.760 | 0.700 |\n| inter-MI | 0.0008 | 0.368 | 0.620 | 0.724 | 0.668 |","| Ldmk# | Ldmkname | Mean(mm) | SD(mm) | Max(mm) |\n| --- | --- | --- | --- | --- |\n| 1 | pognion(chin) | -3.796 | 3.138 | 1.805 |\n| 2(*) | chincleft | 0.237 | 1.254 | 6.952 |\n| 3 | lowerlip | -0.576 | 0.827 | 1.855 |\n| 4(*) | centrelip | -0.317 | 0.534 | 0.760 |\n| 5 | upperlip | -0.001 | 0.853 | 1.499 |\n| 6 | subnasale | 0.992 | 1.195 | 4.306 |\n| 7 | pronasale | -2.011 | 0.990 | 0.000 |\n| 8 | nasion | -1.876 | 1.031 | 0.679 |",0]
["|  | threshold | CER | CAR | CRR | F-measure |\n| --- | --- | --- | --- | --- | --- |\n| intra-MI | 3.6·10 | 0.383 | 0.600 | 0.760 | 0.700 |\n| inter-MI | 0.0008 | 0.368 | 0.620 | 0.724 | 0.668 |","| 4-grammodel | 0.134 | 0.377 | 0.619 | 0.653 | 0.636 |\n| --- | --- | --- | --- | --- | --- |\n| linguistic6-grams | 0.188 | 0.422 | 0.578 | 0.574 | 0.576 |\n| combinedMI | 9·10 | 0.251 | 0.759 | 0.663 | 0.708 |",1]
["|  | threshold | CER | CAR | CRR | F-measure |\n| --- | --- | --- | --- | --- | --- |\n| intra-MI | 3.6·10 | 0.383 | 0.600 | 0.760 | 0.700 |\n| inter-MI | 0.0008 | 0.368 | 0.620 | 0.724 | 0.668 |","| 2(*) | chincleft | 0.237 | 1.254 | 6.952 |\n| --- | --- | --- | --- | --- |\n| 3 | lowerlip | -0.576 | 0.827 | 1.855 |\n| 4(*) | centrelip | -0.317 | 0.534 | 0.760 |\n| 5 | upperlip | -0.001 | 0.853 | 1.499 |\n| 6 | subnasale | 0.992 | 1.195 | 4.306 |\n| 7 | pronasale | -2.011 | 0.990 | 0.000 |\n| 8 | nasion | -1.876 | 1.031 | 0.679 |",0]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.5680±0.0129 | 0.8646±0.0599 | 0.6845±0.0184 |\n| OCGP | 0.5767±0.0087 | 0.9000±0.0560 | 0.7023±0.0193 |  |\n| OCSVM | 0.6631±0.0057 | 0.9829±0.0011 | 0.7919±0.0040 |  |\n| Userrepresentation | OCNN | 0.8314±0.0351 | 0.8028±0.0476 | 0.8150±0.0163 |\n| OCGP | 0.8381±,0.0225 | 0.8289±0.0374 | 0.8326±0.0158 |  |\n| OCSVM | 0.6558±0.0058 | 0.9590±0.0096 | 0.7789±0.0064 |  |","| OCAN | 0.9067±0.0615 | 0.9292±0.0348 | 0.9010±0.0228 |  |\n| --- | --- | --- | --- | --- |\n| Userrepresentation | OCAN-r | 0.8673±0.0355 | 0.8759±0.0529 | 0.8701±0.0267 |",1]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.5680±0.0129 | 0.8646±0.0599 | 0.6845±0.0184 |\n| OCGP | 0.5767±0.0087 | 0.9000±0.0560 | 0.7023±0.0193 |  |\n| OCSVM | 0.6631±0.0057 | 0.9829±0.0011 | 0.7919±0.0040 |  |\n| Userrepresentation | OCNN | 0.8314±0.0351 | 0.8028±0.0476 | 0.8150±0.0163 |\n| OCGP | 0.8381±,0.0225 | 0.8289±0.0374 | 0.8326±0.0158 |  |\n| OCSVM | 0.6558±0.0058 | 0.9590±0.0096 | 0.7789±0.0064 |  |","| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.8029±0.1497 | 0.9075±0.0596 | 0.8383±0.0660 |\n| OCGP | 0.9700±0.0222 | 0.7308±0.0812 | 0.8302±0.0450 |  |\n| OCSVM | 0.6590±0.0100 | 0.9404±0.0017 | 0.7749±0.0068 |  |\n| OCAN | 0.9755±0.0110 | 0.7416±0.0498 | 0.8416±0.0330 |  |\n| Transactionrepresentation | OCNN | 0.7058±0.1396 | 0.9390±0.0786 | 0.7910±0.0608 |\n| OCGP | 0.8813±0.1177 | 0.8566±0.0822 | 0.8576±0.0417 |  |\n| OCSVM | 0.6547±0.0151 | 0.9509±0.0101 | 0.7755±0.0127 |  |\n| OCAN | 0.9067±0.0614 | 0.8320±0.0319 | 0.8656±0.0220 |  |",0]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.5680±0.0129 | 0.8646±0.0599 | 0.6845±0.0184 |\n| OCGP | 0.5767±0.0087 | 0.9000±0.0560 | 0.7023±0.0193 |  |","| OCSVM | 0.6631±0.0057 | 0.9829±0.0011 | 0.7919±0.0040 |  |\n| --- | --- | --- | --- | --- |\n| Userrepresentation | OCNN | 0.8314±0.0351 | 0.8028±0.0476 | 0.8150±0.0163 |\n| OCGP | 0.8381±,0.0225 | 0.8289±0.0374 | 0.8326±0.0158 |  |\n| OCSVM | 0.6558±0.0058 | 0.9590±0.0096 | 0.7789±0.0064 |  |\n| OCAN | 0.9067±0.0615 | 0.9292±0.0348 | 0.9010±0.0228 |  |\n| Userrepresentation | OCAN-r | 0.8673±0.0355 | 0.8759±0.0529 | 0.8701±0.0267 |",1]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.5680±0.0129 | 0.8646±0.0599 | 0.6845±0.0184 |\n| OCGP | 0.5767±0.0087 | 0.9000±0.0560 | 0.7023±0.0193 |  |","| OCAN | 0.9755±0.0110 | 0.7416±0.0498 | 0.8416±0.0330 |  |\n| --- | --- | --- | --- | --- |\n| Transactionrepresentation | OCNN | 0.7058±0.1396 | 0.9390±0.0786 | 0.7910±0.0608 |\n| OCGP | 0.8813±0.1177 | 0.8566±0.0822 | 0.8576±0.0417 |  |\n| OCSVM | 0.6547±0.0151 | 0.9509±0.0101 | 0.7755±0.0127 |  |\n| OCAN | 0.9067±0.0614 | 0.8320±0.0319 | 0.8656±0.0220 |  |",0]
["| CHU | 0000-0002-5581-4883 |\n| --- | --- |\n| SCHUBERT | 0000-0003-4978-4670 |\n| ASIRI | 0000-0001-7905-3209 |\n| MATYJASZEWSKI | 0000-0003-1960-3402 |","| SMITH | 0000-0002-2381-2349 |\n| --- | --- |\n| HOSONO | 0000-0001-9260-6728 |\n| INOUE | 0000-0002-7546-5334 |\n| CAO | 0000-0003-3133-7119 |\n| SCODELLARO | 0000-0002-4974-8330 |",1]
["| CHU | 0000-0002-5581-4883 |\n| --- | --- |\n| SCHUBERT | 0000-0003-4978-4670 |\n| ASIRI | 0000-0001-7905-3209 |\n| MATYJASZEWSKI | 0000-0003-1960-3402 |","| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7347 | blocklar | sahinagic |\n| 0.7458 | frankenfeld | dhumatkar |\n| 0.7429 | kolin | wendly |\n| 0.7429 | lehky | turcon |\n| 0.7368 | quinney | foica |\n| 0.7407 | runt | meij |",0]
["| CHU | 0000-0002-5581-4883 |\n| --- | --- |\n| SCHUBERT | 0000-0003-4978-4670 |","| ASIRI | 0000-0001-7905-3209 |\n| --- | --- |\n| MATYJASZEWSKI | 0000-0003-1960-3402 |\n| SMITH | 0000-0002-2381-2349 |\n| HOSONO | 0000-0001-9260-6728 |\n| INOUE | 0000-0002-7546-5334 |\n| CAO | 0000-0003-3133-7119 |\n| SCODELLARO | 0000-0002-4974-8330 |",1]
["| CHU | 0000-0002-5581-4883 |\n| --- | --- |\n| SCHUBERT | 0000-0003-4978-4670 |","| 0.7429 | lehky | turcon |\n| --- | --- | --- |\n| 0.7368 | quinney | foica |\n| 0.7407 | runt | meij |",0]
["| Dept | top-1 | top-2 | top-3 |\n| --- | --- | --- | --- |\n| AEGEANICS | Kormentzas(296) | Gritzalis(117) | Kambourakis(102) |\n| AUEBDI | Kiountouzis(411) | Vazirgiannis(369) | Giannakoudakis(306) |\n| AUTHDI | Pitas(686) | Manolopoulos(518) | Vlahavas(477) |\n| AUTHECE | Strintzis(454) | Karagiannidis(332 | Tsiboukis(298) |\n| CRETECSD | Orphanoudakis(1074) | Tziritas(925) | Konstantopoulos(425) |","| CRETEECE | Kalaitzakis(1055) | Stavrakakis(803) | Zervakis(250) |\n| --- | --- | --- | --- |\n| IOANCSE | Pitoura(273) | Lagaris(227) | Lykas(192) |\n| IONIODI | Vlamos(99) | — | — |\n| NTUAECE | Papadopoulos(1060) | Sellis(972) | Hizanidis(640) |\n| PATRASECE | Groumpos(1307) | King(689) | Kotsopoulos(319) |\n| PELOPDI | Simos(516) | Vassilakis(39) | Vlachos(18) |\n| UADI | Ioannidis(411) | Syvridis(410) | Paschalis(293) |\n| UNIPIDI | Theodoridis(294) | Virvou(157) | Alexandris(107) |\n| UTHDIB | — | — | — |\n| UTHECE | HoustisE.(270) | Tassiulas(233) | Lalis(108) |",1]
["| Dept | top-1 | top-2 | top-3 |\n| --- | --- | --- | --- |\n| AEGEANICS | Kormentzas(296) | Gritzalis(117) | Kambourakis(102) |\n| AUEBDI | Kiountouzis(411) | Vazirgiannis(369) | Giannakoudakis(306) |\n| AUTHDI | Pitas(686) | Manolopoulos(518) | Vlahavas(477) |\n| AUTHECE | Strintzis(454) | Karagiannidis(332 | Tsiboukis(298) |\n| CRETECSD | Orphanoudakis(1074) | Tziritas(925) | Konstantopoulos(425) |","| Department | Kendalτ |\n| --- | --- |\n| AEGEANICSD | 0.27 |\n| AUEBDI | 0.17 |\n| AUTHDI | 0.37 |\n| AUTHECE | 0.34 |\n| CRETECSD | 0.40 |\n| CRETEECE | 0.50 |\n| IOANCSE | 0.58 |\n| IONIODI | 0.63 |\n| NTUAECE | −0.04 |\n| PATRASECE | 0.03 |\n| PELOPDI | 0.71 |\n| UADI | 0.39 |\n| UNIPIDI | 0.11 |\n| UTHDIB | 0.54 |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",0]
["| Dept | top-1 | top-2 | top-3 |\n| --- | --- | --- | --- |\n| AEGEANICS | Kormentzas(296) | Gritzalis(117) | Kambourakis(102) |\n| AUEBDI | Kiountouzis(411) | Vazirgiannis(369) | Giannakoudakis(306) |","| AUTHDI | Pitas(686) | Manolopoulos(518) | Vlahavas(477) |\n| --- | --- | --- | --- |\n| AUTHECE | Strintzis(454) | Karagiannidis(332 | Tsiboukis(298) |\n| CRETECSD | Orphanoudakis(1074) | Tziritas(925) | Konstantopoulos(425) |\n| CRETEECE | Kalaitzakis(1055) | Stavrakakis(803) | Zervakis(250) |\n| IOANCSE | Pitoura(273) | Lagaris(227) | Lykas(192) |\n| IONIODI | Vlamos(99) | — | — |\n| NTUAECE | Papadopoulos(1060) | Sellis(972) | Hizanidis(640) |\n| PATRASECE | Groumpos(1307) | King(689) | Kotsopoulos(319) |\n| PELOPDI | Simos(516) | Vassilakis(39) | Vlachos(18) |\n| UADI | Ioannidis(411) | Syvridis(410) | Paschalis(293) |\n| UNIPIDI | Theodoridis(294) | Virvou(157) | Alexandris(107) |\n| UTHDIB | — | — | — |\n| UTHECE | HoustisE.(270) | Tassiulas(233) | Lalis(108) |",1]
["| Dept | top-1 | top-2 | top-3 |\n| --- | --- | --- | --- |\n| AEGEANICS | Kormentzas(296) | Gritzalis(117) | Kambourakis(102) |\n| AUEBDI | Kiountouzis(411) | Vazirgiannis(369) | Giannakoudakis(306) |","| UTHDIB | 0.54 |\n| --- | --- |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",0]
["| D | Taskset |\n| --- | --- |\n| 0.250 | (0.9375,5,10),(0.625,10,10) |\n| 0.375 | (1.5625,5,10),(0.625,10,10) |\n| 0.500 | (1.875,5,10),(1.25,10,10) |\n| 0.625 | (1.875,5,10),(1,5,10),(0.5,10,10) |\n| 0.750 | (1.875,5,10),(1.625,5,10),(0.5,10,10) |\n| 0.875 | (1.875,5,40),(1.75,5,40),(6,40,40) |","| 1.000 | (1.875,5,40),(1.875,5,40),(0.5,5,40),(6,40,40) |\n| --- | --- |\n| 1.125 | (1.875,5,40),(1.5,5,40),(1.3125,5,40),(6,40,40),(1.5,40,40) |\n| 1.25 | (1.875,5,40),(1.875,5,40),(1.5625,5,40),(6,40,40),(1.5,40,40) |\n| 1.375 | (1.875,5,40),(1.875,5,40),(1.875,5,40),(6,40,40),(4,40,40) |",1]
["| D | Taskset |\n| --- | --- |\n| 0.250 | (0.9375,5,10),(0.625,10,10) |\n| 0.375 | (1.5625,5,10),(0.625,10,10) |\n| 0.500 | (1.875,5,10),(1.25,10,10) |\n| 0.625 | (1.875,5,10),(1,5,10),(0.5,10,10) |\n| 0.750 | (1.875,5,10),(1.625,5,10),(0.5,10,10) |\n| 0.875 | (1.875,5,40),(1.75,5,40),(6,40,40) |","| D | Taskset | D |\n| --- | --- | --- |\n| 0.50 | (1,5),(1,10),(4,20) | 2.00 |\n| 0.75 | (1,5),(1,10),(5,20),(4,20) | 2.25 |\n| 1.00 | (1,5),(1,10),(7,20),(7,20) | 2.50 |\n| 1.25 | (1,5),(1,10),(6,20),(6,20),(7,20) | 2.75 |\n| 1.50 | (1,5),(3,10),(6,20),(7,20),(7,20) | 3.00 |\n| 1.75 | (1,5),(2,10),(6,20),(7,20),(7,20),(7,20) | 3.25 |\n| 3.50 |  |  |\n| 3.75 |  |  |\n| 4.00 |  |  |\n| 4.25 |  |  |",0]
["| D | Taskset |\n| --- | --- |\n| 0.250 | (0.9375,5,10),(0.625,10,10) |\n| 0.375 | (1.5625,5,10),(0.625,10,10) |\n| 0.500 | (1.875,5,10),(1.25,10,10) |\n| 0.625 | (1.875,5,10),(1,5,10),(0.5,10,10) |\n| 0.750 | (1.875,5,10),(1.625,5,10),(0.5,10,10) |\n| 0.875 | (1.875,5,40),(1.75,5,40),(6,40,40) |\n| 1.000 | (1.875,5,40),(1.875,5,40),(0.5,5,40),(6,40,40) |","| 1.125 | (1.875,5,40),(1.5,5,40),(1.3125,5,40),(6,40,40),(1.5,40,40) |\n| --- | --- |\n| 1.25 | (1.875,5,40),(1.875,5,40),(1.5625,5,40),(6,40,40),(1.5,40,40) |\n| 1.375 | (1.875,5,40),(1.875,5,40),(1.875,5,40),(6,40,40),(4,40,40) |",1]
["| D | Taskset |\n| --- | --- |\n| 0.250 | (0.9375,5,10),(0.625,10,10) |\n| 0.375 | (1.5625,5,10),(0.625,10,10) |\n| 0.500 | (1.875,5,10),(1.25,10,10) |\n| 0.625 | (1.875,5,10),(1,5,10),(0.5,10,10) |\n| 0.750 | (1.875,5,10),(1.625,5,10),(0.5,10,10) |\n| 0.875 | (1.875,5,40),(1.75,5,40),(6,40,40) |\n| 1.000 | (1.875,5,40),(1.875,5,40),(0.5,5,40),(6,40,40) |","| 3.75 |\n| --- |\n| 4.00 |\n| 4.25 |",0]
["| Stage | #Sample | #Blocks | llb | lub | Runtime |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 3 | 19324936602 | 8659772341291 | 1hr1m |\n| 2 | 10 | 6 | 4509832663 | 62270235928 | 3m29sec |\n| 3 | 5 | 3 | 2799147462 | 81977150923 | 33m51sec |","| 4 | 5 | 2 | 397155 | 1249483 | 53m40sec |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 5 | 2 | 140973 | 236873 | 1hr6m |",1]
["| Stage | #Sample | #Blocks | llb | lub | Runtime |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 3 | 19324936602 | 8659772341291 | 1hr1m |\n| 2 | 10 | 6 | 4509832663 | 62270235928 | 3m29sec |\n| 3 | 5 | 3 | 2799147462 | 81977150923 | 33m51sec |","| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |\n| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |\n| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| Stage | #Sample | #Blocks | llb | lub | Runtime |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 3 | 19324936602 | 8659772341291 | 1hr1m |\n| 2 | 10 | 6 | 4509832663 | 62270235928 | 3m29sec |","| 3 | 5 | 3 | 2799147462 | 81977150923 | 33m51sec |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 5 | 2 | 397155 | 1249483 | 53m40sec |\n| 5 | 5 | 2 | 140973 | 236873 | 1hr6m |",1]
["| Stage | #Sample | #Blocks | llb | lub | Runtime |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 3 | 19324936602 | 8659772341291 | 1hr1m |\n| 2 | 10 | 6 | 4509832663 | 62270235928 | 3m29sec |","| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| --- | --- | --- | --- | --- | --- |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |","| 0.555 | 0.448 | 0.626 |\n| --- | --- | --- |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",1]
["| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |","| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |\n| 0.4592 | 0.2090 | 0.3236 |\n| 0.5393 | 0.2397 | 0.3751 |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |","| - | - | - |\n| --- | --- | --- |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",1]
["| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |","| 0.5393 | 0.2397 | 0.3751 |\n| --- | --- | --- |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["| Method | CIFAR-10 | NUS-WIDE |\n| --- | --- | --- |\n| 16bits24bits32bits48bits | 16bits24bits32bits48bits |  |\n| Ours | 0.9150.9230.9250.926 | 0.7560.7760.7850.799 |\n| DPSH | 0.7630.7810.7950.807 | 0.7150.7220.7360.741 |\n| DRSCH | 0.6150.6220.6290.631 | 0.6180.6220.6230.628 |","| DSCH | 0.6090.6130.6170.62 | 0.5920.5970.6110.609 |\n| --- | --- | --- |\n| DSRH | 0.6080.6110.6170.618 | 0.6090.6180.6210.631 |\n| DPSH* | 0.9030.8850.9150.911 | N/A |",1]
["| Method | CIFAR-10 | NUS-WIDE |\n| --- | --- | --- |\n| 16bits24bits32bits48bits | 16bits24bits32bits48bits |  |\n| Ours | 0.9150.9230.9250.926 | 0.7560.7760.7850.799 |\n| DPSH | 0.7630.7810.7950.807 | 0.7150.7220.7360.741 |\n| DRSCH | 0.6150.6220.6290.631 | 0.6180.6220.6230.628 |","| Methods | CIFAR-10<br>16bits32bits48bits64bits | NUS-WIDE<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.83370.85550.86470.8690 | 0.74580.77480.78310.7898 |\n| DTH | 0.81670.83840.84920.8532 | 0.73250.75330.76250.7684 |\n| DSH | 0.82320.82680.83700.8327 | 0.71300.71790.71500.7210 |\n| FastH | 0.63570.68100.69930.7097 | 0.71190.73870.75030.7560 |\n| ITQ-CCA | 0.61030.63480.64670.6577 | 0.70260.72200.72680.7297 |\n| KSH | 0.40300.42450.43600.4423 | 0.69780.71360.71470.7175 |\n| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",0]
["| Method | CIFAR-10 | NUS-WIDE |\n| --- | --- | --- |\n| 16bits24bits32bits48bits | 16bits24bits32bits48bits |  |\n| Ours | 0.9150.9230.9250.926 | 0.7560.7760.7850.799 |\n| DPSH | 0.7630.7810.7950.807 | 0.7150.7220.7360.741 |","| DRSCH | 0.6150.6220.6290.631 | 0.6180.6220.6230.628 |\n| --- | --- | --- |\n| DSCH | 0.6090.6130.6170.62 | 0.5920.5970.6110.609 |\n| DSRH | 0.6080.6110.6170.618 | 0.6090.6180.6210.631 |\n| DPSH* | 0.9030.8850.9150.911 | N/A |",1]
["| Method | CIFAR-10 | NUS-WIDE |\n| --- | --- | --- |\n| 16bits24bits32bits48bits | 16bits24bits32bits48bits |  |\n| Ours | 0.9150.9230.9250.926 | 0.7560.7760.7850.799 |\n| DPSH | 0.7630.7810.7950.807 | 0.7150.7220.7360.741 |","| KSH | 0.40300.42450.43600.4423 | 0.69780.71360.71470.7175 |\n| --- | --- | --- |\n| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",0]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 6 | 0.575 | 0.691 |\n|  | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |","|  | RealCMBP | 1.5 | 0.634 | 0.579 |\n| --- | --- | --- | --- | --- |\n| RPN | RPN | 0.5 | 0.650 | 0.549 |",1]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 6 | 0.575 | 0.691 |\n|  | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |","| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 5 | 0.719 | 0.464 |\n|  | LambdaMART<br>RNN<br>DNN | 1<br>2<br>3 | 0.784<br>0.768<br>0.750 | 0.735<br>0.346<br>0.416 |\n|  | RealCMBP | 2.5 | 0.762 | 0.436 |\n| RPN | RPN | 2.5 | 0.757 | 0.374 |",0]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 6 | 0.575 | 0.691 |","|  | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |\n| --- | --- | --- | --- | --- |\n|  | RealCMBP | 1.5 | 0.634 | 0.579 |\n| RPN | RPN | 0.5 | 0.650 | 0.549 |",1]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 6 | 0.575 | 0.691 |","|  | RealCMBP | 2.5 | 0.762 | 0.436 |\n| --- | --- | --- | --- | --- |\n| RPN | RPN | 2.5 | 0.757 | 0.374 |",0]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 180,738 | 180,860 | 75.9 |","| <Clex | 180,738 | 180,860 | 81.5 |\n| --- | --- | --- | --- |\n| <Rlex | 2,720 | 2,842 | 2.7 |\n| <RClex | 2,720 | 2,842 | 2.7 |\n| ≤Cm | 137,185 | 137,306 | 71.2 |\n| ≤Rm | 10,853 | 10,977 | 8.6 |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | 10,853 | 10,977 | 8.6 |\n| ≤C<Rmlex | 2,016 | 2,137 | 2.6 |",1]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 180,738 | 180,860 | 75.9 |","|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 20,722 | 20,871 | 12.3 |\n| <Clex | 20,722 | 20,871 | 12.4 |\n| <Rlex | 20,722 | 20,871 | 12.5 |\n| <RClex | 20,722 | 20,871 | 12.4 |\n| ≤Cm | 7,053 | 7,202 | 4.6 |\n| ≤Rm | - | - | - |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | - | - | - |\n| ≤C<Rmlex | 7,053 | 7,202 | 4.6 |",0]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 180,738 | 180,860 | 75.9 |\n| <Clex | 180,738 | 180,860 | 81.5 |\n| <Rlex | 2,720 | 2,842 | 2.7 |\n| <RClex | 2,720 | 2,842 | 2.7 |","| ≤Cm | 137,185 | 137,306 | 71.2 |\n| --- | --- | --- | --- |\n| ≤Rm | 10,853 | 10,977 | 8.6 |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | 10,853 | 10,977 | 8.6 |\n| ≤C<Rmlex | 2,016 | 2,137 | 2.6 |",1]
["|  | Fails | Choicepoints | Time(secs.) |\n| --- | --- | --- | --- |\n| NoSymmetryBreaking | 180,738 | 180,860 | 75.9 |\n| <Clex | 180,738 | 180,860 | 81.5 |\n| <Rlex | 2,720 | 2,842 | 2.7 |\n| <RClex | 2,720 | 2,842 | 2.7 |","| ≤Rm | - | - | - |\n| --- | --- | --- | --- |\n| ≤RCm | - | - | - |\n| <C≤Rmlex | - | - | - |\n| ≤C<Rmlex | 7,053 | 7,202 | 4.6 |",0]
["| Method | 64bits96bits128bits256bits |\n| --- | --- |\n| SVHN |  |\n| DeepHash | 4.064.324.144.11 |","| DMIH | 10.4010.949.108.17 |\n| --- | --- |\n| NUS-WIDE |  |\n| DeepHash | 9.239.598.998.97 |\n| DMIH | 9.729.849.519.39 |",1]
["| Method | 64bits96bits128bits256bits |\n| --- | --- |\n| SVHN |  |\n| DeepHash | 4.064.324.144.11 |","| Method | CIFAR-10 | NUS-WIDE |\n| --- | --- | --- |\n| 16bits24bits32bits48bits | 16bits24bits32bits48bits |  |\n| Ours | 0.9150.9230.9250.926 | 0.7560.7760.7850.799 |\n| DPSH | 0.7630.7810.7950.807 | 0.7150.7220.7360.741 |\n| DRSCH | 0.6150.6220.6290.631 | 0.6180.6220.6230.628 |\n| DSCH | 0.6090.6130.6170.62 | 0.5920.5970.6110.609 |\n| DSRH | 0.6080.6110.6170.618 | 0.6090.6180.6210.631 |\n| DPSH* | 0.9030.8850.9150.911 | N/A |",0]
["| Method | 64bits96bits128bits256bits |\n| --- | --- |\n| SVHN |  |\n| DeepHash | 4.064.324.144.11 |\n| DMIH | 10.4010.949.108.17 |","| NUS-WIDE |  |\n| --- | --- |\n| DeepHash | 9.239.598.998.97 |\n| DMIH | 9.729.849.519.39 |",1]
["| Method | 64bits96bits128bits256bits |\n| --- | --- |\n| SVHN |  |\n| DeepHash | 4.064.324.144.11 |\n| DMIH | 10.4010.949.108.17 |","| DRSCH | 0.6150.6220.6290.631 | 0.6180.6220.6230.628 |\n| --- | --- | --- |\n| DSCH | 0.6090.6130.6170.62 | 0.5920.5970.6110.609 |\n| DSRH | 0.6080.6110.6170.618 | 0.6090.6180.6210.631 |\n| DPSH* | 0.9030.8850.9150.911 | N/A |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |","| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |","| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |\n| cc-12-12-2<br>(unsat) | t<br>n | 50,7<br>16897 | 67,6(14,3)<br>19429(49780) | 79,3<br>16596 | 65<br>21532 | 523,6<br>13935 | 555,6<br>13564 | 49,1<br>16292 | 54,3<br>16135 |\n| cc-15-15-2<br>(unsat) | t<br>n | 98,6<br>16948 | 125(94,5)<br>20166(14881) | 159,7<br>16674 | 91,3<br>16437 | 1037<br>10374 | 1134<br>10012 | 103,6<br>15741 | 102,1<br>15945 |\n| series-16<br>(sat) | t<br>n | 147,3<br>49857 | 543,9(516,5)<br>155102(146942) | 177,6<br>51767 | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| series-18<br>(sat) | t<br>n | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| renault-mod-0<br>(sat) | t<br>n | 1285<br>288 | >1h<br>– | 2675<br>251 | >1h<br>– | >1h<br>– | >1h<br>– | 1008<br>166 | 776,2<br>179 |\n| renault-mod-1<br>(unsat) | t<br>n | 2126<br>474 | >1h<br>– | 2283<br>469 | >1h<br>– | >1h<br>– | >1h<br>– | 431,4<br>161 | 785,4<br>234 |\n| renault-mod-3<br>(unsat) | t<br>n | 2598<br>546 | >1h<br>- | 2977<br>475 | >1h<br>– | >1h<br>– | >1h<br>– | 993,5<br>203 | 435,7<br>176 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |","| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |","| series-16<br>(sat) | t<br>n | 147,3<br>49857 | 543,9(516,5)<br>155102(146942) | 177,6<br>51767 | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| series-18<br>(sat) | t<br>n | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| renault-mod-0<br>(sat) | t<br>n | 1285<br>288 | >1h<br>– | 2675<br>251 | >1h<br>– | >1h<br>– | >1h<br>– | 1008<br>166 | 776,2<br>179 |\n| renault-mod-1<br>(unsat) | t<br>n | 2126<br>474 | >1h<br>– | 2283<br>469 | >1h<br>– | >1h<br>– | >1h<br>– | 431,4<br>161 | 785,4<br>234 |\n| renault-mod-3<br>(unsat) | t<br>n | 2598<br>546 | >1h<br>- | 2977<br>475 | >1h<br>– | >1h<br>– | >1h<br>– | 993,5<br>203 | 435,7<br>176 |",0]
["| City | N | K | NGC | C | Cr | d | dr | Q | Qr |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Atlanta | 13,011 | 46,756 | 11,476 | 0.16 | 0.0006 | 4.6 | 4.6 | 0.53 | 0.17 |\n| Boston | 10,478 | 41,505 | 8,816 | 0.17 | 0.0010 | 4.3 | 4.0 | 0.45 | 0.15 |\n| Chicago | 19,931 | 84,778 | 17,287 | 0.16 | 0.0004 | 4.6 | 4.9 | 0.47 | 0.14 |","| Minneapolis | 6,499 | 30,640 | 5,914 | 0.18 | 0.0016 | 4.4 | 4.2 | 0.41 | 0.12 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Seattle | 7,445 | 28,466 | 6,392 | 0.18 | 0.0008 | 4.4 | 4.6 | 0.46 | 0.16 |",1]
["| City | N | K | NGC | C | Cr | d | dr | Q | Qr |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Atlanta | 13,011 | 46,756 | 11,476 | 0.16 | 0.0006 | 4.6 | 4.6 | 0.53 | 0.17 |\n| Boston | 10,478 | 41,505 | 8,816 | 0.17 | 0.0010 | 4.3 | 4.0 | 0.45 | 0.15 |\n| Chicago | 19,931 | 84,778 | 17,287 | 0.16 | 0.0004 | 4.6 | 4.9 | 0.47 | 0.14 |","| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| City | N | K | NGC | C | Cr | d | dr | Q | Qr |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Atlanta | 13,011 | 46,756 | 11,476 | 0.16 | 0.0006 | 4.6 | 4.6 | 0.53 | 0.17 |\n| Boston | 10,478 | 41,505 | 8,816 | 0.17 | 0.0010 | 4.3 | 4.0 | 0.45 | 0.15 |","| Chicago | 19,931 | 84,778 | 17,287 | 0.16 | 0.0004 | 4.6 | 4.9 | 0.47 | 0.14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Minneapolis | 6,499 | 30,640 | 5,914 | 0.18 | 0.0016 | 4.4 | 4.2 | 0.41 | 0.12 |\n| Seattle | 7,445 | 28,466 | 6,392 | 0.18 | 0.0008 | 4.4 | 4.6 | 0.46 | 0.16 |",1]
["| City | N | K | NGC | C | Cr | d | dr | Q | Qr |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Atlanta | 13,011 | 46,756 | 11,476 | 0.16 | 0.0006 | 4.6 | 4.6 | 0.53 | 0.17 |\n| Boston | 10,478 | 41,505 | 8,816 | 0.17 | 0.0010 | 4.3 | 4.0 | 0.45 | 0.15 |","| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |\n| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |","| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| --- | --- | --- | --- | --- | --- |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",1]
["| Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |\n| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |","| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["| Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |\n| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |","| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| --- | --- | --- | --- | --- | --- |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",1]
["| Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |\n| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |","| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["| Parameter | ParametersTried |\n| --- | --- |\n| Iterations | T∈{10,25,50,75,100} |\n| Features/periter | w=100 |\n| FeatureSet | Grammar,Haar-only,Grammarw/oMorphologyorw/oHaar |\n| Post-Processing<br>CCDetector | Regiongrow(R),Erosion(E),Dilation(D),Median(M),None(N)<br>w/combinations{R},{E,D},{E,D,M},{R,E,D,M},{N}<br>σfrom0to20(0.2increments)exclusive.CC |\n| LLMDetector | σfrom0to20(0.2increments)exclusive.LLM |\n| KDEDetector | σfrom0to10(0.1increments)exclusive,σasabove.KDELLM |\n| Features | GeneratewforeachofTiterations. |\n| DecisionStump | Pickbestthresholdforeachpost-processingparametertried. |","| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| --- | --- |\n| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| E,D,MPP | risvariedbetween1and5. |",1]
["| Parameter | ParametersTried |\n| --- | --- |\n| Iterations | T∈{10,25,50,75,100} |\n| Features/periter | w=100 |\n| FeatureSet | Grammar,Haar-only,Grammarw/oMorphologyorw/oHaar |\n| Post-Processing<br>CCDetector | Regiongrow(R),Erosion(E),Dilation(D),Median(M),None(N)<br>w/combinations{R},{E,D},{E,D,M},{R,E,D,M},{N}<br>σfrom0to20(0.2increments)exclusive.CC |\n| LLMDetector | σfrom0to20(0.2increments)exclusive.LLM |\n| KDEDetector | σfrom0to10(0.1increments)exclusive,σasabove.KDELLM |\n| Features | GeneratewforeachofTiterations. |\n| DecisionStump | Pickbestthresholdforeachpost-processingparametertried. |","| Name | Abbr. | Description |\n| --- | --- | --- |\n| Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel |\n| HeuristicallyOptimizedTrade-oﬀs | FKP | Localoptimizationmodel |\n| GeneralizedLinearPreference | GLP | Modiﬁedpreferentialattachmentmodel |\n| UnivariateHeuristicallyOptimizedTrade-oﬀs | UFKP | Modiﬁedlocaloptimizationmodel |\n| BivariateHeuristicallyOptimizedTrade-oﬀs | BFKP | Modiﬁedlocaloptimizationmodel |\n| MultivariateHeuristicallyOptimizedTrade-oﬀs | MFKP | Modiﬁedlocaloptimizationmodel |\n| InteractiveGrowth | IG | Modiﬁedpreferentialattachmentmodel |\n| PositiveFeedbackPreference(1) | PFP1 | ModiﬁedIGmodel |\n| PositiveFeedbackPreference(2) | PFP1 | ModiﬁedPFP1model |\n| ASIM | ASIM | Agentbasedtopologygenerator |",0]
["| Parameter | ParametersTried |\n| --- | --- |\n| Iterations | T∈{10,25,50,75,100} |\n| Features/periter | w=100 |\n| FeatureSet | Grammar,Haar-only,Grammarw/oMorphologyorw/oHaar |\n| Post-Processing<br>CCDetector | Regiongrow(R),Erosion(E),Dilation(D),Median(M),None(N)<br>w/combinations{R},{E,D},{E,D,M},{R,E,D,M},{N}<br>σfrom0to20(0.2increments)exclusive.CC |\n| LLMDetector | σfrom0to20(0.2increments)exclusive.LLM |\n| KDEDetector | σfrom0to10(0.1increments)exclusive,σasabove.KDELLM |","| Features | GeneratewforeachofTiterations. |\n| --- | --- |\n| DecisionStump | Pickbestthresholdforeachpost-processingparametertried. |\n| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| E,D,MPP | risvariedbetween1and5. |",1]
["| Parameter | ParametersTried |\n| --- | --- |\n| Iterations | T∈{10,25,50,75,100} |\n| Features/periter | w=100 |\n| FeatureSet | Grammar,Haar-only,Grammarw/oMorphologyorw/oHaar |\n| Post-Processing<br>CCDetector | Regiongrow(R),Erosion(E),Dilation(D),Median(M),None(N)<br>w/combinations{R},{E,D},{E,D,M},{R,E,D,M},{N}<br>σfrom0to20(0.2increments)exclusive.CC |\n| LLMDetector | σfrom0to20(0.2increments)exclusive.LLM |\n| KDEDetector | σfrom0to10(0.1increments)exclusive,σasabove.KDELLM |","| PositiveFeedbackPreference(2) | PFP1 | ModiﬁedPFP1model |\n| --- | --- | --- |\n| ASIM | ASIM | Agentbasedtopologygenerator |",0]
["|  | noise | sheltering | exchange |\n| --- | --- | --- | --- |\n| ImageNet | 76 | 74 | 71 |","| AutoEncoder | 83 | 21417 | 38609 |\n| --- | --- | --- | --- |\n| Discriminator | 122466 | 48322 | 28557 |\n| Human | Good | Bad | Worst |",1]
["|  | noise | sheltering | exchange |\n| --- | --- | --- | --- |\n| ImageNet | 76 | 74 | 71 |","| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |\n| VGG16 | 224×224 | 10 |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["|  | noise | sheltering | exchange |\n| --- | --- | --- | --- |\n| ImageNet | 76 | 74 | 71 |\n| AutoEncoder | 83 | 21417 | 38609 |","| Discriminator | 122466 | 48322 | 28557 |\n| --- | --- | --- | --- |\n| Human | Good | Bad | Worst |",1]
["|  | noise | sheltering | exchange |\n| --- | --- | --- | --- |\n| ImageNet | 76 | 74 | 71 |\n| AutoEncoder | 83 | 21417 | 38609 |","| SqueezeNet | 448×448 | 4 |\n| --- | --- | --- |\n| SqueezeNet | 625×625 | 6 |",0]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |","| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| --- | --- | --- | --- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",1]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |","| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |\n| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",0]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |","| TotalImages | 512,765 | 39,933 | 159,732 |\n| --- | --- | --- | --- |\n| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",1]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |","| TotalImages | 512,765 | 39,933 | 159,732 |\n| --- | --- | --- | --- |\n| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",0]
["|  |  | Chinese | English |\n| --- | --- | --- | --- |\n| Parallel | #Sent. | 2.56M |  |\n| #Word | 67.54M | 74.82M |  |\n| Vocab. | 0.21M | 0.16M |  |\n| Monolingual | #Sent. | 18.75M | 22.32M |","| #Word | 451.94M | 399.83M |\n| --- | --- | --- |\n| Vocab. | 0.97M | 1.34M |",1]
["|  |  | Chinese | English |\n| --- | --- | --- | --- |\n| Parallel | #Sent. | 2.56M |  |\n| #Word | 67.54M | 74.82M |  |\n| Vocab. | 0.21M | 0.16M |  |\n| Monolingual | #Sent. | 18.75M | 22.32M |","| #Sent. | es→en | en→fr | es→fr |\n| --- | --- | --- | --- |\n| 0 | 31.53 | 30.46 | 29.52 |\n| 1K | 32.64 | 30.29 | 30.23 |\n| 10K | 32.92 | 30.93 | 31.51 |\n| 50K | 33.29 | 31.57 | 32.40 |\n| 100K | 33.35 | 31.63 | 32.45 |",0]
["|  |  | Chinese | English |\n| --- | --- | --- | --- |\n| Parallel | #Sent. | 2.56M |  |\n| #Word | 67.54M | 74.82M |  |\n| Vocab. | 0.21M | 0.16M |  |","| Monolingual | #Sent. | 18.75M | 22.32M |\n| --- | --- | --- | --- |\n| #Word | 451.94M | 399.83M |  |\n| Vocab. | 0.97M | 1.34M |  |",1]
["|  |  | Chinese | English |\n| --- | --- | --- | --- |\n| Parallel | #Sent. | 2.56M |  |\n| #Word | 67.54M | 74.82M |  |\n| Vocab. | 0.21M | 0.16M |  |","| 50K | 33.29 | 31.57 | 32.40 |\n| --- | --- | --- | --- |\n| 100K | 33.35 | 31.63 | 32.45 |",0]
["|  | DISFA | BP4D |\n| --- | --- | --- |\n| #seqs | 27 | 328 |\n| #frames | 130,814 | 144,682 |","| #activeframes | 56,356 | 117,075 |\n| --- | --- | --- |\n| #AU | 10 | 12 |\n| labelcardinality | 3.04 | 4.05 |\n| labeldensity | 4.05 | 0.22 |",1]
["|  | DISFA | BP4D |\n| --- | --- | --- |\n| #seqs | 27 | 328 |\n| #frames | 130,814 | 144,682 |","| DataSet | MPEG-7 |\n| --- | --- |\n| CSS | 75.44 |\n| Visualparts | 76.45 |\n| SC | 76.51 |\n| CPDH | 76.56 |\n| Aligningcurves | 78.16 |\n| ProposedApproach | 79.38 |\n| SSC | 79.92 |",0]
["|  | DISFA | BP4D |\n| --- | --- | --- |\n| #seqs | 27 | 328 |","| #frames | 130,814 | 144,682 |\n| --- | --- | --- |\n| #activeframes | 56,356 | 117,075 |\n| #AU | 10 | 12 |\n| labelcardinality | 3.04 | 4.05 |\n| labeldensity | 4.05 | 0.22 |",1]
["|  | DISFA | BP4D |\n| --- | --- | --- |\n| #seqs | 27 | 328 |","| SC | 76.51 |\n| --- | --- |\n| CPDH | 76.56 |\n| Aligningcurves | 78.16 |\n| ProposedApproach | 79.38 |\n| SSC | 79.92 |",0]
["| Dataset | Method | Prec. | Rec. | Acc. | Spec. | F. | Avg. | Cm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Book | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.749<br>0.851<br>0.841<br>0.815<br>0.812<br>0.847<br>0.863<br>0.828<br>0.858<br>0.850<br>0.861<br>0.846 | 0.712<br>0.685<br>0.663<br>0.745<br>0.750<br>0.663<br>0.755<br>0.734<br>0.788<br>0.679<br>0.810<br>0.658 | 0.576<br>0.651<br>0.629<br>0.659<br>0.659<br>0.633<br>0.707<br>0.664<br>0.725<br>0.646<br>0.742<br>0.629 | 0.022<br>0.511<br>0.489<br>0.311<br>0.289<br>0.511<br>0.511<br>0.378<br>0.467<br>0.511<br>0.467<br>0.511 | 0.730<br>0.759<br>0.742<br>0.778<br>0.780<br>0.744<br>0.806<br>0.778<br>0.822<br>0.755<br>0.835<br>0.740 | 0.515<br>0.674<br>0.656<br>0.633<br>0.628<br>0.664<br>0.709<br>0.651<br>0.709<br>0.672<br>0.720<br>0.661 | -26258<br>-23011<br>-23477<br>-23860<br>-23435<br>-23303<br>-21915<br>-24907<br>-21390<br>-22751<br>-21670<br>-23243 |\n| Cos | 0.980 | 0.865 | 0.901 | 0.861 | 0.909 | 0.985 | 1.000 |  |","| Children | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.919<br>0.938<br>0.938<br>0.915<br>0.912<br>0.938<br>0.940<br>0.905<br>0.941<br>0.938<br>0.942<br>0.938 | 0.901<br>0.927<br>0.926<br>0.919<br>0.912<br>0.926<br>0.927<br>0.889<br>0.928<br>0.927<br>0.927<br>0.924 | 0.845<br>0.883<br>0.882<br>0.841<br>0.839<br>0.881<br>0.885<br>0.822<br>0.885<br>0.883<br>0.886<br>0.876 | 0.462<br>0.585<br>0.581<br>0.457<br>0.454<br>0.581<br>0.595<br>0.366<br>0.588<br>0.586<br>0.601<br>0.578 | 0.910<br>0.933<br>0.932<br>0.917<br>0.912<br>0.932<br>0.933<br>0.897<br>0.934<br>0.932<br>0.935<br>0.931 | 0.782<br>0.833<br>0.832<br>0.783<br>0.779<br>0.832<br>0.836<br>0.746<br>0.836<br>0.833<br>0.839<br>0.829 | -330234<br>-314582<br>-314124<br>-331351<br>-331523<br>-315231<br>-309873<br>-340031<br>-310314<br>-313421<br>-302873<br>-321098 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cos. | 0.994 | 0.989 | 0.997 | 0.999 | 0.992 | 0.998 | 1.000 |  |",1]
["| Dataset | Method | Prec. | Rec. | Acc. | Spec. | F. | Avg. | Cm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Book | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.749<br>0.851<br>0.841<br>0.815<br>0.812<br>0.847<br>0.863<br>0.828<br>0.858<br>0.850<br>0.861<br>0.846 | 0.712<br>0.685<br>0.663<br>0.745<br>0.750<br>0.663<br>0.755<br>0.734<br>0.788<br>0.679<br>0.810<br>0.658 | 0.576<br>0.651<br>0.629<br>0.659<br>0.659<br>0.633<br>0.707<br>0.664<br>0.725<br>0.646<br>0.742<br>0.629 | 0.022<br>0.511<br>0.489<br>0.311<br>0.289<br>0.511<br>0.511<br>0.378<br>0.467<br>0.511<br>0.467<br>0.511 | 0.730<br>0.759<br>0.742<br>0.778<br>0.780<br>0.744<br>0.806<br>0.778<br>0.822<br>0.755<br>0.835<br>0.740 | 0.515<br>0.674<br>0.656<br>0.633<br>0.628<br>0.664<br>0.709<br>0.651<br>0.709<br>0.672<br>0.720<br>0.661 | -26258<br>-23011<br>-23477<br>-23860<br>-23435<br>-23303<br>-21915<br>-24907<br>-21390<br>-22751<br>-21670<br>-23243 |\n| Cos | 0.980 | 0.865 | 0.901 | 0.861 | 0.909 | 0.985 | 1.000 |  |","| Datasets | Scene-15 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |\n| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |\n| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",0]
["| Dataset | Method | Prec. | Rec. | Acc. | Spec. | F. | Avg. | Cm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Book | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.749<br>0.851<br>0.841<br>0.815<br>0.812<br>0.847<br>0.863<br>0.828<br>0.858<br>0.850<br>0.861<br>0.846 | 0.712<br>0.685<br>0.663<br>0.745<br>0.750<br>0.663<br>0.755<br>0.734<br>0.788<br>0.679<br>0.810<br>0.658 | 0.576<br>0.651<br>0.629<br>0.659<br>0.659<br>0.633<br>0.707<br>0.664<br>0.725<br>0.646<br>0.742<br>0.629 | 0.022<br>0.511<br>0.489<br>0.311<br>0.289<br>0.511<br>0.511<br>0.378<br>0.467<br>0.511<br>0.467<br>0.511 | 0.730<br>0.759<br>0.742<br>0.778<br>0.780<br>0.744<br>0.806<br>0.778<br>0.822<br>0.755<br>0.835<br>0.740 | 0.515<br>0.674<br>0.656<br>0.633<br>0.628<br>0.664<br>0.709<br>0.651<br>0.709<br>0.672<br>0.720<br>0.661 | -26258<br>-23011<br>-23477<br>-23860<br>-23435<br>-23303<br>-21915<br>-24907<br>-21390<br>-22751<br>-21670<br>-23243 |","| Cos | 0.980 | 0.865 | 0.901 | 0.861 | 0.909 | 0.985 | 1.000 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Children | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.919<br>0.938<br>0.938<br>0.915<br>0.912<br>0.938<br>0.940<br>0.905<br>0.941<br>0.938<br>0.942<br>0.938 | 0.901<br>0.927<br>0.926<br>0.919<br>0.912<br>0.926<br>0.927<br>0.889<br>0.928<br>0.927<br>0.927<br>0.924 | 0.845<br>0.883<br>0.882<br>0.841<br>0.839<br>0.881<br>0.885<br>0.822<br>0.885<br>0.883<br>0.886<br>0.876 | 0.462<br>0.585<br>0.581<br>0.457<br>0.454<br>0.581<br>0.595<br>0.366<br>0.588<br>0.586<br>0.601<br>0.578 | 0.910<br>0.933<br>0.932<br>0.917<br>0.912<br>0.932<br>0.933<br>0.897<br>0.934<br>0.932<br>0.935<br>0.931 | 0.782<br>0.833<br>0.832<br>0.783<br>0.779<br>0.832<br>0.836<br>0.746<br>0.836<br>0.833<br>0.839<br>0.829 | -330234<br>-314582<br>-314124<br>-331351<br>-331523<br>-315231<br>-309873<br>-340031<br>-310314<br>-313421<br>-302873<br>-321098 |\n| Cos. | 0.994 | 0.989 | 0.997 | 0.999 | 0.992 | 0.998 | 1.000 |  |",1]
["| Dataset | Method | Prec. | Rec. | Acc. | Spec. | F. | Avg. | Cm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Book | Voting<br>Sums<br>AvgLog<br>Inv<br>PInv<br>Tru<br>Est2<br>Est3<br>Accu<br>CRH<br>SLCA<br>GLCA | 0.749<br>0.851<br>0.841<br>0.815<br>0.812<br>0.847<br>0.863<br>0.828<br>0.858<br>0.850<br>0.861<br>0.846 | 0.712<br>0.685<br>0.663<br>0.745<br>0.750<br>0.663<br>0.755<br>0.734<br>0.788<br>0.679<br>0.810<br>0.658 | 0.576<br>0.651<br>0.629<br>0.659<br>0.659<br>0.633<br>0.707<br>0.664<br>0.725<br>0.646<br>0.742<br>0.629 | 0.022<br>0.511<br>0.489<br>0.311<br>0.289<br>0.511<br>0.511<br>0.378<br>0.467<br>0.511<br>0.467<br>0.511 | 0.730<br>0.759<br>0.742<br>0.778<br>0.780<br>0.744<br>0.806<br>0.778<br>0.822<br>0.755<br>0.835<br>0.740 | 0.515<br>0.674<br>0.656<br>0.633<br>0.628<br>0.664<br>0.709<br>0.651<br>0.709<br>0.672<br>0.720<br>0.661 | -26258<br>-23011<br>-23477<br>-23860<br>-23435<br>-23303<br>-21915<br>-24907<br>-21390<br>-22751<br>-21670<br>-23243 |","| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |\n| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",0]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.67×10 | 1.33×10 | 2.42×10 | 8.88×10 |","| averageofallSSIMdiﬀerence | 1.85×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |\n| --- | --- | --- | --- | --- | --- |\n| averageofnon-outliers | 1.74×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |\n| CSIQ | medianofallSSIMdiﬀerence | 1.24×10 | 1.05×10 | 2.44×10 | 3.66×10 |\n| averageofallSSIMdiﬀerence | 1.43×10 | 1.23×10 | 4.25×10 | 4.30×10 |  |\n| averageofnon-outliers | 1.31×10 | 1.23×10 | 2.19×10 | 3.81×10 |  |",1]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.67×10 | 1.33×10 | 2.42×10 | 8.88×10 |","|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.06×10 | 1.07×10 | 2.36×10 | 6.95×10 |\n| averageofallSSIMdiﬀerences | 1.22×10 | 1.25×10 | 6.73×10 | 8.23×10 |  |\n| averageofnon-outliers | 1.22×10 | 1.25×10 | 5.67×10 | 8.23×10 |  |\n| CSIQ | medianofallSSIMdiﬀerences | 8.81×10 | 8.68×10 | 2.83×10 | 2.18×10 |\n| averageofallSSIMdiﬀerences | 9.11×10 | 8.95×10 | 7.65×10 | 4.30×10 |  |\n| averageofnon-outliers | 8.54×10 | 8.06×10 | 6.34×10 | 3.17×10 |  |",0]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.67×10 | 1.33×10 | 2.42×10 | 8.88×10 |\n| averageofallSSIMdiﬀerence | 1.85×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |","| averageofnon-outliers | 1.74×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |\n| --- | --- | --- | --- | --- | --- |\n| CSIQ | medianofallSSIMdiﬀerence | 1.24×10 | 1.05×10 | 2.44×10 | 3.66×10 |\n| averageofallSSIMdiﬀerence | 1.43×10 | 1.23×10 | 4.25×10 | 4.30×10 |  |\n| averageofnon-outliers | 1.31×10 | 1.23×10 | 2.19×10 | 3.81×10 |  |",1]
["|  | DIIVINE | BRISQUE | MetricQ | Anisotropy |  |\n| --- | --- | --- | --- | --- | --- |\n| LIVE | medianofallSSIMdiﬀerences | 1.67×10 | 1.33×10 | 2.42×10 | 8.88×10 |\n| averageofallSSIMdiﬀerence | 1.85×10 | 1.33×10 | 5.07×10 | 1.09×10 |  |","| CSIQ | medianofallSSIMdiﬀerences | 8.81×10 | 8.68×10 | 2.83×10 | 2.18×10 |\n| --- | --- | --- | --- | --- | --- |\n| averageofallSSIMdiﬀerences | 9.11×10 | 8.95×10 | 7.65×10 | 4.30×10 |  |\n| averageofnon-outliers | 8.54×10 | 8.06×10 | 6.34×10 | 3.17×10 |  |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 10 |\n| 2 | 93 |\n| 3 | 111 |\n| 4 | 148 |\n| 5 | transformer5 |\n| 6 | 22 |","| 7 | 28 |\n| --- | --- |\n| 8 | 27 |\n| 9 | 26 |\n| 10 | 25 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 10 |\n| 2 | 93 |\n| 3 | 111 |\n| 4 | 148 |\n| 5 | transformer5 |\n| 6 | 22 |","| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 192 |\n| 2 | 191 |\n| 3 | 6 |\n| 4 | 24 |\n| 5 | 137 |\n| 6 | 130 |\n| 7 | 135 |\n| 8 | 129 |\n| 9 | 178 |\n| 10 | transformer3 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 10 |\n| 2 | 93 |\n| 3 | 111 |\n| 4 | 148 |\n| 5 | transformer5 |\n| 6 | 22 |\n| 7 | 28 |","| 8 | 27 |\n| --- | --- |\n| 9 | 26 |\n| 10 | 25 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 10 |\n| 2 | 93 |\n| 3 | 111 |\n| 4 | 148 |\n| 5 | transformer5 |\n| 6 | 22 |\n| 7 | 28 |","| 2 | 191 |\n| --- | --- |\n| 3 | 6 |\n| 4 | 24 |\n| 5 | 137 |\n| 6 | 130 |\n| 7 | 135 |\n| 8 | 129 |\n| 9 | 178 |\n| 10 | transformer3 |",0]
["| Option | Value |\n| --- | --- |\n| presolving/maxrounds | 0 |\n| presolving/components/maxrounds | 0 |\n| presolving/convertinttobin/maxrounds | 0 |\n| presolving/domcol/maxrounds | 0 |\n| presolving/dualagg/maxrounds | 0 |\n| presolving/dualinfer/maxrounds | 0 |\n| presolving/gateextraction/maxrounds | 0 |\n| presolving/implfree/maxrounds | 0 |\n| presolving/implics/maxrounds | 0 |\n| presolving/inttobinary/maxrounds | 0 |","| presolving/redvub/maxrounds | 0 |\n| --- | --- |\n| presolving/stuﬃng/maxrounds | 0 |\n| presolving/trivial/maxrounds | 0 |\n| presolving/tworowbnd/maxrounds | 0 |\n| propagating/maxrounds | 0 |\n| propagating/dualﬁx/maxprerounds | 0 |\n| propagating/genvbounds/maxprerounds | 0 |\n| propagating/obbt/freq | -1 |\n| propagating/obbt/maxprerounds | 0 |\n| propagating/obbt/tightintboundsprobing | False |\n| propagating/probing/maxprerounds | 0 |\n| propagating/pseudoobj/maxprerounds | 0 |\n| propagating/redcost/maxprerounds | 0 |\n| propagating/rootredcost/maxprerounds | 0 |\n| propagating/vbounds/maxprerounds | 0 |\n| conﬂict/useprop | False |\n| conﬂict/useinﬂp | False |\n| conﬂict/usepseudo | False |\n| heuristics/bound/maxproprounds | 0 |\n| heuristics/clique/maxproprounds | 0 |\n| heuristics/randrounding/maxproprounds | 0 |\n| heuristics/shiftandpropagate/freq | -1 |\n| heuristics/shifting/freq | -1 |\n| heuristics/vbounds/maxproprounds | 0 |\n| misc/allowdualreds | False |\n| misc/allowobjprop | False |",1]
["| Option | Value |\n| --- | --- |\n| presolving/maxrounds | 0 |\n| presolving/components/maxrounds | 0 |\n| presolving/convertinttobin/maxrounds | 0 |\n| presolving/domcol/maxrounds | 0 |\n| presolving/dualagg/maxrounds | 0 |\n| presolving/dualinfer/maxrounds | 0 |\n| presolving/gateextraction/maxrounds | 0 |\n| presolving/implfree/maxrounds | 0 |\n| presolving/implics/maxrounds | 0 |\n| presolving/inttobinary/maxrounds | 0 |","| Parameter | Valuerange | Bits |\n| --- | --- | --- |\n| Null-moveuse | 0–1 | 1 |\n| Null-movereduction | 0–7 | 3 |\n| Null-moveuseadaptivity | 0–1 | 1 |\n| Null-moveadaptivitydepth | 0–7 | 3 |\n| Futilitydepth | 0–3 | 2 |\n| Futilitythresholddepth-1 | 0–1023 | 10 |\n| Futilitythresholddepth-2 | 0–1023 | 10 |\n| Futilitythresholddepth-3 | 0–1023 | 10 |\n| Multi-cutuse | 0–1 | 1 |\n| Multi-cutreduction | 0–7 | 3 |\n| Multi-cutdepth | 0–7 | 3 |\n| Multi-cutmovenum | 0–31 | 5 |\n| Multi-cutcutnum | 0–7 | 3 |\n| Checkextension | 0–4 | 3 |\n| One-replyextension | 0–4 | 3 |\n| Recaptureextension | 0–4 | 3 |\n| Passedpawnextension | 0–4 | 3 |\n| Matethreatextension | 0–4 | 3 |\n| Totalchromosomelength |  | 70 |",0]
["| Option | Value |\n| --- | --- |\n| presolving/maxrounds | 0 |\n| presolving/components/maxrounds | 0 |\n| presolving/convertinttobin/maxrounds | 0 |\n| presolving/domcol/maxrounds | 0 |\n| presolving/dualagg/maxrounds | 0 |\n| presolving/dualinfer/maxrounds | 0 |\n| presolving/gateextraction/maxrounds | 0 |\n| presolving/implfree/maxrounds | 0 |\n| presolving/implics/maxrounds | 0 |\n| presolving/inttobinary/maxrounds | 0 |\n| presolving/redvub/maxrounds | 0 |\n| presolving/stuﬃng/maxrounds | 0 |\n| presolving/trivial/maxrounds | 0 |\n| presolving/tworowbnd/maxrounds | 0 |\n| propagating/maxrounds | 0 |\n| propagating/dualﬁx/maxprerounds | 0 |\n| propagating/genvbounds/maxprerounds | 0 |\n| propagating/obbt/freq | -1 |\n| propagating/obbt/maxprerounds | 0 |\n| propagating/obbt/tightintboundsprobing | False |\n| propagating/probing/maxprerounds | 0 |\n| propagating/pseudoobj/maxprerounds | 0 |\n| propagating/redcost/maxprerounds | 0 |\n| propagating/rootredcost/maxprerounds | 0 |\n| propagating/vbounds/maxprerounds | 0 |\n| conﬂict/useprop | False |\n| conﬂict/useinﬂp | False |\n| conﬂict/usepseudo | False |\n| heuristics/bound/maxproprounds | 0 |","| heuristics/clique/maxproprounds | 0 |\n| --- | --- |\n| heuristics/randrounding/maxproprounds | 0 |\n| heuristics/shiftandpropagate/freq | -1 |\n| heuristics/shifting/freq | -1 |\n| heuristics/vbounds/maxproprounds | 0 |\n| misc/allowdualreds | False |\n| misc/allowobjprop | False |",1]
["| Option | Value |\n| --- | --- |\n| presolving/maxrounds | 0 |\n| presolving/components/maxrounds | 0 |\n| presolving/convertinttobin/maxrounds | 0 |\n| presolving/domcol/maxrounds | 0 |\n| presolving/dualagg/maxrounds | 0 |\n| presolving/dualinfer/maxrounds | 0 |\n| presolving/gateextraction/maxrounds | 0 |\n| presolving/implfree/maxrounds | 0 |\n| presolving/implics/maxrounds | 0 |\n| presolving/inttobinary/maxrounds | 0 |\n| presolving/redvub/maxrounds | 0 |\n| presolving/stuﬃng/maxrounds | 0 |\n| presolving/trivial/maxrounds | 0 |\n| presolving/tworowbnd/maxrounds | 0 |\n| propagating/maxrounds | 0 |\n| propagating/dualﬁx/maxprerounds | 0 |\n| propagating/genvbounds/maxprerounds | 0 |\n| propagating/obbt/freq | -1 |\n| propagating/obbt/maxprerounds | 0 |\n| propagating/obbt/tightintboundsprobing | False |\n| propagating/probing/maxprerounds | 0 |\n| propagating/pseudoobj/maxprerounds | 0 |\n| propagating/redcost/maxprerounds | 0 |\n| propagating/rootredcost/maxprerounds | 0 |\n| propagating/vbounds/maxprerounds | 0 |\n| conﬂict/useprop | False |\n| conﬂict/useinﬂp | False |\n| conﬂict/usepseudo | False |\n| heuristics/bound/maxproprounds | 0 |","| Multi-cutcutnum | 0–7 | 3 |\n| --- | --- | --- |\n| Checkextension | 0–4 | 3 |\n| One-replyextension | 0–4 | 3 |\n| Recaptureextension | 0–4 | 3 |\n| Passedpawnextension | 0–4 | 3 |\n| Matethreatextension | 0–4 | 3 |\n| Totalchromosomelength |  | 70 |",0]
["| Methods | recall | precision | f-measure |\n| --- | --- | --- | --- |\n| BaselineA | 0.233 | 0.8378 | 0.3648 |\n| BaselineB | 0.107 | 0.8973 | 0.1914 |\n| BaselineC | 0.047 | 0.1856 | 0.0747 |","| Yaoetal. | 0.271 | 0.4323 | 0.3331 |\n| --- | --- | --- | --- |\n| Zhouetal. | 0.324 | 0.5039 | 0.3945 |\n| TextBoxes++ | 0.5600 | 0.5582 | 0.5591 |\n| TextBoxes++MS | 0.5670 | 0.6087 | 0.5872 |",1]
["| Methods | recall | precision | f-measure |\n| --- | --- | --- | --- |\n| BaselineA | 0.233 | 0.8378 | 0.3648 |\n| BaselineB | 0.107 | 0.8973 | 0.1914 |\n| BaselineC | 0.047 | 0.1856 | 0.0747 |","| Method | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| FCRNall+ﬁlts | 0.76 | 0.92 | 0.83 |\n| TextBoxes | 0.74 | 0.88 | 0.81 |\n| TextBoxes+MS | 0.83 | 0.89 | 0.86 |\n| Seglink | 0.83 | 0.88 | 0.85 |\n| Tianetal. | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 |\n| Heetal. | 0.86 | 0.89 | 0.88 |\n| Heetal. | 0.81 | 0.92 | 0.86 |\n| WordSup+MS | 0.88 | 0.93 | 0.90 |\n| Baseline | 0.74 | 0.88 | 0.81 |\n| Baseline+MS | 0.85 | 0.92 | 0.88 |\n| RRD | 0.75 | 0.88 | 0.81 |\n| RRD+MS | 0.86 | 0.92 | 0.89 |",0]
["| Methods | recall | precision | f-measure |\n| --- | --- | --- | --- |\n| BaselineA | 0.233 | 0.8378 | 0.3648 |\n| BaselineB | 0.107 | 0.8973 | 0.1914 |\n| BaselineC | 0.047 | 0.1856 | 0.0747 |\n| Yaoetal. | 0.271 | 0.4323 | 0.3331 |","| Zhouetal. | 0.324 | 0.5039 | 0.3945 |\n| --- | --- | --- | --- |\n| TextBoxes++ | 0.5600 | 0.5582 | 0.5591 |\n| TextBoxes++MS | 0.5670 | 0.6087 | 0.5872 |",1]
["| Methods | recall | precision | f-measure |\n| --- | --- | --- | --- |\n| BaselineA | 0.233 | 0.8378 | 0.3648 |\n| BaselineB | 0.107 | 0.8973 | 0.1914 |\n| BaselineC | 0.047 | 0.1856 | 0.0747 |\n| Yaoetal. | 0.271 | 0.4323 | 0.3331 |","| TextBoxes+MS | 0.83 | 0.89 | 0.86 |\n| --- | --- | --- | --- |\n| Seglink | 0.83 | 0.88 | 0.85 |\n| Tianetal. | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 |\n| Heetal. | 0.86 | 0.89 | 0.88 |\n| Heetal. | 0.81 | 0.92 | 0.86 |\n| WordSup+MS | 0.88 | 0.93 | 0.90 |\n| Baseline | 0.74 | 0.88 | 0.81 |\n| Baseline+MS | 0.85 | 0.92 | 0.88 |\n| RRD | 0.75 | 0.88 | 0.81 |\n| RRD+MS | 0.86 | 0.92 | 0.89 |",0]
["| Dataset | Size | Dimensionality | Kernelfunction |\n| --- | --- | --- | --- |\n| Imagenet | 20,000 | 17,000 | Pyramid |","| MNIST | 70,000 | 784 | Neural |\n| --- | --- | --- | --- |\n| ForestCoverType | 581,012 | 54 | RBF |\n| NetworkIntrusion | 4,898,431 | 50 | Polynomial |",1]
["| Dataset | Size | Dimensionality | Kernelfunction |\n| --- | --- | --- | --- |\n| Imagenet | 20,000 | 17,000 | Pyramid |","| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |\n| VGG16 | 224×224 | 10 |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| Dataset | Size | Dimensionality | Kernelfunction |\n| --- | --- | --- | --- |\n| Imagenet | 20,000 | 17,000 | Pyramid |\n| MNIST | 70,000 | 784 | Neural |","| ForestCoverType | 581,012 | 54 | RBF |\n| --- | --- | --- | --- |\n| NetworkIntrusion | 4,898,431 | 50 | Polynomial |",1]
["| Dataset | Size | Dimensionality | Kernelfunction |\n| --- | --- | --- | --- |\n| Imagenet | 20,000 | 17,000 | Pyramid |\n| MNIST | 70,000 | 784 | Neural |","| SqueezeNet | 448×448 | 4 |\n| --- | --- | --- |\n| SqueezeNet | 625×625 | 6 |",0]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| EyesRemoved | Subspace | 0.0077 | 0.0068 | 0.0021 | 0.0210 |\n| EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |\n| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |","| RandomDroppedEvidence | MemoryTable | 0.0055 | 0.0053 | 0.0023 | 0.0111 |\n| --- | --- | --- | --- | --- | --- |\n| Colorization | Subspace | 0.0020 | 0.0015 | 0.0004 | 0.0071 |\n| Colorization | MemoryTable | 0.0018 | 0.0016 | 0.0005 | 0.0047 |\n| NoisyEvidence | Subspace | 0.0050 | 0.0049 | 0.0040 | 0.0064 |\n| NoisyEvidence | MemoryTable | 0.0058 | 0.0055 | 0.0035 | 0.0106 |",1]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| EyesRemoved | Subspace | 0.0077 | 0.0068 | 0.0021 | 0.0210 |\n| EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |\n| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |","| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 |\n| SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 |\n| NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 |\n| NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |",0]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| EyesRemoved | Subspace | 0.0077 | 0.0068 | 0.0021 | 0.0210 |\n| EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |\n| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |\n| RandomDroppedEvidence | MemoryTable | 0.0055 | 0.0053 | 0.0023 | 0.0111 |\n| Colorization | Subspace | 0.0020 | 0.0015 | 0.0004 | 0.0071 |\n| Colorization | MemoryTable | 0.0018 | 0.0016 | 0.0005 | 0.0047 |","| NoisyEvidence | Subspace | 0.0050 | 0.0049 | 0.0040 | 0.0064 |\n| --- | --- | --- | --- | --- | --- |\n| NoisyEvidence | MemoryTable | 0.0058 | 0.0055 | 0.0035 | 0.0106 |",1]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| EyesRemoved | Subspace | 0.0077 | 0.0068 | 0.0021 | 0.0210 |\n| EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |\n| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |\n| RandomDroppedEvidence | MemoryTable | 0.0055 | 0.0053 | 0.0023 | 0.0111 |\n| Colorization | Subspace | 0.0020 | 0.0015 | 0.0004 | 0.0071 |\n| Colorization | MemoryTable | 0.0018 | 0.0016 | 0.0005 | 0.0047 |","| NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 |\n| --- | --- | --- | --- | --- | --- |\n| NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |",0]
["| Journal | PRAPRBPRCPRDPREPRL |\n| --- | --- |\n| Numberofarticlespublishedin2000 | 1,4584,9948632,0492,2553,123 |\n| Totalnumberofcitationsaccruedbycohort | 17,00549,4177,95926,07214,67570,876 |","| Fractionofjournalself-citations | 0.740.800.820.910.700.23 |\n| --- | --- |\n| Totalnumberofinﬂation-adjustedcitations | 12,92744,4017,38919,77611,42359,083 |\n| Meaninﬂation-adjustedcitationsperarticle | 8.878.898.569.655.0718.92 |\n| Medianinﬂation-adjustedcitationsperarticle | 4.214.715.014.592.819.99 |",1]
["| Journal | PRAPRBPRCPRDPREPRL |\n| --- | --- |\n| Numberofarticlespublishedin2000 | 1,4584,9948632,0492,2553,123 |\n| Totalnumberofcitationsaccruedbycohort | 17,00549,4177,95926,07214,67570,876 |","| Year | p(citations) | p(readership) | Total |\n| --- | --- | --- | --- |\n| 1999 | 0.3738 | 0.1951 | 8 |\n| 2000 | 0.1706 | 0.0555 | 10 |\n| 2001 | 0.1988 | 0.3102 | 15 |\n| 2003 | 0.1096 | 0.3459 | 9 |\n| 2004 | 0.4157 | 0.1629 | 10 |\n| 2005 | 0.2115 | 0.3178 | 17 |\n| 2006 | 0.3230 | 0.2259 | 14 |\n| 2007 | 0.1570 | 0.1482 | 15 |\n| 2008 | 0.2112 | 0.4029 | 14 |\n| 2009 | 0.1199 | 0.0531 | 11 |\n| 2010 | 0.1098 | 0.3501 | 21 |\n| 2011 | 0.2064 | 0.2207 | 18 |\n| 2012 | 0.1154 | 0.4622 | 17 |\n| 2013 | 0.4370 | 0.1918 | 19 |\n| 2014 | 0.2785 | 0.0731 | 13 |\n| 2015 | 0.4661 | 0.1684 | 11 |\n| 2016 | 0.0842 | 0.3098 | 17 |\n| Total | - | - | 239 |",0]
["| Journal | PRAPRBPRCPRDPREPRL |\n| --- | --- |\n| Numberofarticlespublishedin2000 | 1,4584,9948632,0492,2553,123 |","| Totalnumberofcitationsaccruedbycohort | 17,00549,4177,95926,07214,67570,876 |\n| --- | --- |\n| Fractionofjournalself-citations | 0.740.800.820.910.700.23 |\n| Totalnumberofinﬂation-adjustedcitations | 12,92744,4017,38919,77611,42359,083 |\n| Meaninﬂation-adjustedcitationsperarticle | 8.878.898.569.655.0718.92 |\n| Medianinﬂation-adjustedcitationsperarticle | 4.214.715.014.592.819.99 |",1]
["| Journal | PRAPRBPRCPRDPREPRL |\n| --- | --- |\n| Numberofarticlespublishedin2000 | 1,4584,9948632,0492,2553,123 |","| 2000 | 0.1706 | 0.0555 | 10 |\n| --- | --- | --- | --- |\n| 2001 | 0.1988 | 0.3102 | 15 |\n| 2003 | 0.1096 | 0.3459 | 9 |\n| 2004 | 0.4157 | 0.1629 | 10 |\n| 2005 | 0.2115 | 0.3178 | 17 |\n| 2006 | 0.3230 | 0.2259 | 14 |\n| 2007 | 0.1570 | 0.1482 | 15 |\n| 2008 | 0.2112 | 0.4029 | 14 |\n| 2009 | 0.1199 | 0.0531 | 11 |\n| 2010 | 0.1098 | 0.3501 | 21 |\n| 2011 | 0.2064 | 0.2207 | 18 |\n| 2012 | 0.1154 | 0.4622 | 17 |\n| 2013 | 0.4370 | 0.1918 | 19 |\n| 2014 | 0.2785 | 0.0731 | 13 |\n| 2015 | 0.4661 | 0.1684 | 11 |\n| 2016 | 0.0842 | 0.3098 | 17 |\n| Total | - | - | 239 |",0]
["| K=0 | K=1 | K=2 | K=3 |\n| --- | --- | --- | --- |\n| 123 | 123,123,123 | 123,123,123,132,213,321 | 123,132,213,231,312,321 |\n| 132 | 132,132,132 | 132,132,132,123,312,231 | 132,123,312,321,213,231, |","| 213 | 213,213,213 | 213,213,213,231,123,312 | 213,231,123,132,312,321 |\n| --- | --- | --- | --- |\n| 231 | 231,231,231 | 231,231,231,213,321,132 | 231,213,321,312,123,132 |\n| 312 | 312,312,312 | 312,312,312,321,132,213 | 312,321,132,123,213,231 |\n| 321 | 321,321,321 | 321,321,321,312,231,123 | 321,312,231,213,123,132 |",1]
["| K=0 | K=1 | K=2 | K=3 |\n| --- | --- | --- | --- |\n| 123 | 123,123,123 | 123,123,123,132,213,321 | 123,132,213,231,312,321 |\n| 132 | 132,132,132 | 132,132,132,123,312,231 | 132,123,312,321,213,231, |","| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |\n| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["| K=0 | K=1 | K=2 | K=3 |\n| --- | --- | --- | --- |\n| 123 | 123,123,123 | 123,123,123,132,213,321 | 123,132,213,231,312,321 |\n| 132 | 132,132,132 | 132,132,132,123,312,231 | 132,123,312,321,213,231, |\n| 213 | 213,213,213 | 213,213,213,231,123,312 | 213,231,123,132,312,321 |\n| 231 | 231,231,231 | 231,231,231,213,321,132 | 231,213,321,312,123,132 |","| 312 | 312,312,312 | 312,312,312,321,132,213 | 312,321,132,123,213,231 |\n| --- | --- | --- | --- |\n| 321 | 321,321,321 | 321,321,321,312,231,123 | 321,312,231,213,123,132 |",1]
["| K=0 | K=1 | K=2 | K=3 |\n| --- | --- | --- | --- |\n| 123 | 123,123,123 | 123,123,123,132,213,321 | 123,132,213,231,312,321 |\n| 132 | 132,132,132 | 132,132,132,123,312,231 | 132,123,312,321,213,231, |\n| 213 | 213,213,213 | 213,213,213,231,123,312 | 213,231,123,132,312,321 |\n| 231 | 231,231,231 | 231,231,231,213,321,132 | 231,213,321,312,123,132 |","| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["| FeatureSelectionHeuristic | SelectedFeaturesSubsets |\n| --- | --- |\n| Relief | {f,f,f,f,f,H}12345u1 |\n| CFS | {f,f,f,f,H,H}2345u1u4 |\n| FisherScore | {f,f,H,H,H,H}23u1u2u3u4 |\n| GiniIndex | {f,f,f,H,H,H}245u1u4u5 |","| SFS | {Greengray−level,f,f,f,H}235u1 |\n| --- | --- |\n| SBS | {Greengray−level,f,f,H}25u1 |",1]
["| FeatureSelectionHeuristic | SelectedFeaturesSubsets |\n| --- | --- |\n| Relief | {f,f,f,f,f,H}12345u1 |\n| CFS | {f,f,f,f,H,H}2345u1u4 |\n| FisherScore | {f,f,H,H,H,H}23u1u2u3u4 |\n| GiniIndex | {f,f,f,H,H,H}245u1u4u5 |","| Parameter | ParametersTried |\n| --- | --- |\n| Iterations | T∈{10,25,50,75,100} |\n| Features/periter | w=100 |\n| FeatureSet | Grammar,Haar-only,Grammarw/oMorphologyorw/oHaar |\n| Post-Processing<br>CCDetector | Regiongrow(R),Erosion(E),Dilation(D),Median(M),None(N)<br>w/combinations{R},{E,D},{E,D,M},{R,E,D,M},{N}<br>σfrom0to20(0.2increments)exclusive.CC |\n| LLMDetector | σfrom0to20(0.2increments)exclusive.LLM |\n| KDEDetector | σfrom0to10(0.1increments)exclusive,σasabove.KDELLM |\n| Features | GeneratewforeachofTiterations. |\n| DecisionStump | Pickbestthresholdforeachpost-processingparametertried. |\n| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| E,D,MPP | risvariedbetween1and5. |",0]
["| FeatureSelectionHeuristic | SelectedFeaturesSubsets |\n| --- | --- |\n| Relief | {f,f,f,f,f,H}12345u1 |","| CFS | {f,f,f,f,H,H}2345u1u4 |\n| --- | --- |\n| FisherScore | {f,f,H,H,H,H}23u1u2u3u4 |\n| GiniIndex | {f,f,f,H,H,H}245u1u4u5 |\n| SFS | {Greengray−level,f,f,f,H}235u1 |\n| SBS | {Greengray−level,f,f,H}25u1 |",1]
["| FeatureSelectionHeuristic | SelectedFeaturesSubsets |\n| --- | --- |\n| Relief | {f,f,f,f,f,H}12345u1 |","| KDEDetector | σfrom0to10(0.1increments)exclusive,σasabove.KDELLM |\n| --- | --- |\n| Features | GeneratewforeachofTiterations. |\n| DecisionStump | Pickbestthresholdforeachpost-processingparametertried. |\n| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| RegiongrowPP | kisvariedfrom1000to5000(incrementsof500). |\n| E,D,MPP | risvariedbetween1and5. |",0]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 10k | 86k |\n| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |","| (b)NumberofCADmodels |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| n | 5 | 10 | 20 | 40 | 160 | 1393 |\n| AP | 21.7 | 26.6 | 29.8 | 33.9 | 44.6 | 50.0 |",1]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 10k | 86k |\n| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |","| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |\n| AP | 34.0 | 40.4 | 43.8 | 44.3 | 45.6 | 46.0 | 49.7 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 22.2 | 29.5 | 33.6 | 36.4 | 39.3 | 44.2 | 49.7 |",0]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 10k | 86k |\n| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |","| n | 5 | 10 | 20 | 40 | 160 | 1393 |\n| --- | --- | --- | --- | --- | --- | --- |\n| AP | 21.7 | 26.6 | 29.8 | 33.9 | 44.6 | 50.0 |",1]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 10k | 86k |\n| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |","| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 22.2 | 29.5 | 33.6 | 36.4 | 39.3 | 44.2 | 49.7 |",0]
["| Num.of<br>processes | Checkpoint<br>time(s) | Restart<br>time(s) | Totalckpt<br>size(TB) | Write(ckpt)<br>bandwidth(GB/s) |\n| --- | --- | --- | --- | --- |\n| 8192 | 136.1 | 215.3 | 9.4 | 69 |","| 16368 | 367.4 | 706.6 | 19 | 52 |\n| --- | --- | --- | --- | --- |\n| 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |\n| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 |",1]
["| Num.of<br>processes | Checkpoint<br>time(s) | Restart<br>time(s) | Totalckpt<br>size(TB) | Write(ckpt)<br>bandwidth(GB/s) |\n| --- | --- | --- | --- | --- |\n| 8192 | 136.1 | 215.3 | 9.4 | 69 |","| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |\n| --- | --- | --- | --- |\n| LU.E | 128×4 | 70.8 | 350 |\n| LU.E | 64×8 | 136.6 | 356 |\n| LU.E | 32×16 | 222.6 | 355 |\n| LU.E | 128×16 | 70.2 | 117 |",0]
["| Num.of<br>processes | Checkpoint<br>time(s) | Restart<br>time(s) | Totalckpt<br>size(TB) | Write(ckpt)<br>bandwidth(GB/s) |\n| --- | --- | --- | --- | --- |\n| 8192 | 136.1 | 215.3 | 9.4 | 69 |\n| 16368 | 367.4 | 706.6 | 19 | 52 |","| 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |\n| --- | --- | --- | --- | --- |\n| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 |",1]
["| Num.of<br>processes | Checkpoint<br>time(s) | Restart<br>time(s) | Totalckpt<br>size(TB) | Write(ckpt)<br>bandwidth(GB/s) |\n| --- | --- | --- | --- | --- |\n| 8192 | 136.1 | 215.3 | 9.4 | 69 |\n| 16368 | 367.4 | 706.6 | 19 | 52 |","| LU.E | 32×16 | 222.6 | 355 |\n| --- | --- | --- | --- |\n| LU.E | 128×16 | 70.2 | 117 |",0]
["| Landmark | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Mitralvalvepoint | 7.2 | 3.7 |\n| Tricupsidvalvepoint | 5.1 | 5.9 |","| Leftventriclecavitycenter | 10.9 | 4.1 |\n| --- | --- | --- |\n| Rightventriclecavitycenter | 9.6 | 6.8 |\n| Leftatriumcavitycenter | 7.5 | 5.2 |\n| Rightatriumcavitycenter | 6.7 | 3.0 |",1]
["| Landmark | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Mitralvalvepoint | 7.2 | 3.7 |\n| Tricupsidvalvepoint | 5.1 | 5.9 |","| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |\n| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |\n| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| Landmark | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Mitralvalvepoint | 7.2 | 3.7 |","| Tricupsidvalvepoint | 5.1 | 5.9 |\n| --- | --- | --- |\n| Leftventriclecavitycenter | 10.9 | 4.1 |\n| Rightventriclecavitycenter | 9.6 | 6.8 |\n| Leftatriumcavitycenter | 7.5 | 5.2 |\n| Rightatriumcavitycenter | 6.7 | 3.0 |",1]
["| Landmark | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Mitralvalvepoint | 7.2 | 3.7 |","| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |\n| --- | --- | --- | --- | --- |\n| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 87.0±12.3 | 88.3±8.8 | 85.0±4.2 | 85.5±4.2 | 85.3±4.1 | 91.8±3.5 |\n| Colon | 77.0±11.0 | 79.3±9.2 | 80.3±9.1 | 81.5±9.4 | 82.0±8.8 | 83.0±7.4 |","| Duodenum | 66.8±12.8 | 70.3±10.4 | 70.2±11.3 | 72.6±11.4 | 73.4±11.1 | 75.4±9.1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gallbladder | 85.4±10.3 | 87.9±7.5 | 87.8±8.3 | 88.9±6.2 | 89.4±6.1 | 90.5±5.3 |\n| IVC | 80.8±10.2 | 84.7±5.9 | 84.0±6.0 | 85.6±5.8 | 86.0±5.5 | 87.0±4.2 |\n| Kidney(L) | 83.9±22.4 | 95.2±2.6 | 96.1±2.0 | 96.2±2.2 | 95.9±2.3 | 96.8±1.9 |\n| Kidney(R) | 88.0±14.4 | 95.6±4.5 | 95.8±4.9 | 95.9±4.9 | 96.0±2.5 | 98.4±2.1 |\n| Liver | 91.4±9.9 | 95.7±1.8 | 96.8±0.8 | 97.0±0.9 | 97.0±0.8 | 98.0±0.7 |\n| Pancreas | 79.3±11.7 | 81.4±10.8 | 84.3±4.9 | 86.2±4.5 | 86.6±4.3 | 87.8±3.1 |\n| Smallbowel | 69.9±17.3 | 71.1±15.0 | 76.9±14.0 | 78.0±13.8 | 79.0±13.4 | 80.1±10.2 |\n| Spleen | 89.6±9.5 | 93.1±2.1 | 96.3±1.9 | 96.4±1.9 | 96.4±1.7 | 97.1±1.5 |\n| Stomach | 90.1±7.2 | 93.2±5.4 | 93.9±3.2 | 94.2±2.9 | 94.2±3.0 | 95.2±2.6 |\n| Veins | 60.7±23.7 | 74.5±10.5 | 74.8±10.7 | 76.8±11.2 | 77.4±12.1 | 80.7±9.3 |",1]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 87.0±12.3 | 88.3±8.8 | 85.0±4.2 | 85.5±4.2 | 85.3±4.1 | 91.8±3.5 |\n| Colon | 77.0±11.0 | 79.3±9.2 | 80.3±9.1 | 81.5±9.4 | 82.0±8.8 | 83.0±7.4 |","| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 0.44±1.01 | 0.42±0.58 | 0.56±0.47 | 0.47±0.42 | 0.44±0.28 | 0.39±0.21 |\n| Colon | 6.75±9.01 | 6,35±8.12 | 6.27±7.44 | 5.65±7.25 | 4.07±5.72 | 3.59±4.17 |\n| Duodenum | 2.01±2.46 | 1.70±2.18 | 1.71±2.25 | 1.49±1.87 | 1.54±1.43 | 1.36±1.31 |\n| Gallbladder | 1.31±0.76 | 1.21±0.50 | 1.22±0.52 | 1.12±0.50 | 1.05±0.41 | 0.95±0.37 |\n| IVC | 1.57±1.53 | 1.15±1.05 | 1.26±1.08 | 1.16±1.38 | 1.12±1.24 | 1.08±1.03 |\n| Kidney(L) | 0.77±1.04 | 0.41±0.42 | 0.36±0.47 | 0.34±0.47 | 0.30±0.33 | 0.30±0.30 |\n| Kidney(R) | 1.39±2.01 | 1.03±1.68 | 1.05±1.74 | 0.74±1.32 | 0.54±1.09 | 0.45±0.89 |\n| Liver | 1.89±3.21 | 1.60±0 | 1.61±2.98 | 1.39±2.64 | 1.32±1.74 | 1.23±1.52 |\n| Pancreas | 1.78±1.05 | 1.51±0.80 | 1.41±0.88 | 1.19±0.82 | 1.17±0.72 | 1.05±0.65 |\n| Smallbowel | 4.21±5.78 | 4.01±6.01 | 3.91±6.05 | 3.20±4.05 | 3.37±5.48 | 3.01±3.35 |\n| Spleen | 0.98±0.56 | 0.59±0.37 | 0.60±0.36 | 0.56±0.40 | 0.47±0.27 | 0.42±0.25 |\n| Stomach | 2.78±5.89 | 2.50±5.02 | 2.51±5.13 | 2.36±5.65 | 1.88±1.64 | 1.68±1.55 |\n| Veins | 2.31±4.51 | 1.75±3.51 | 1.69±3.61 | 1.92±6.48 | 1.40±3.61 | 1.21±3.05 |",0]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 87.0±12.3 | 88.3±8.8 | 85.0±4.2 | 85.5±4.2 | 85.3±4.1 | 91.8±3.5 |\n| Colon | 77.0±11.0 | 79.3±9.2 | 80.3±9.1 | 81.5±9.4 | 82.0±8.8 | 83.0±7.4 |\n| Duodenum | 66.8±12.8 | 70.3±10.4 | 70.2±11.3 | 72.6±11.4 | 73.4±11.1 | 75.4±9.1 |\n| Gallbladder | 85.4±10.3 | 87.9±7.5 | 87.8±8.3 | 88.9±6.2 | 89.4±6.1 | 90.5±5.3 |\n| IVC | 80.8±10.2 | 84.7±5.9 | 84.0±6.0 | 85.6±5.8 | 86.0±5.5 | 87.0±4.2 |\n| Kidney(L) | 83.9±22.4 | 95.2±2.6 | 96.1±2.0 | 96.2±2.2 | 95.9±2.3 | 96.8±1.9 |\n| Kidney(R) | 88.0±14.4 | 95.6±4.5 | 95.8±4.9 | 95.9±4.9 | 96.0±2.5 | 98.4±2.1 |\n| Liver | 91.4±9.9 | 95.7±1.8 | 96.8±0.8 | 97.0±0.9 | 97.0±0.8 | 98.0±0.7 |","| Pancreas | 79.3±11.7 | 81.4±10.8 | 84.3±4.9 | 86.2±4.5 | 86.6±4.3 | 87.8±3.1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Smallbowel | 69.9±17.3 | 71.1±15.0 | 76.9±14.0 | 78.0±13.8 | 79.0±13.4 | 80.1±10.2 |\n| Spleen | 89.6±9.5 | 93.1±2.1 | 96.3±1.9 | 96.4±1.9 | 96.4±1.7 | 97.1±1.5 |\n| Stomach | 90.1±7.2 | 93.2±5.4 | 93.9±3.2 | 94.2±2.9 | 94.2±3.0 | 95.2±2.6 |\n| Veins | 60.7±23.7 | 74.5±10.5 | 74.8±10.7 | 76.8±11.2 | 77.4±12.1 | 80.7±9.3 |",1]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 87.0±12.3 | 88.3±8.8 | 85.0±4.2 | 85.5±4.2 | 85.3±4.1 | 91.8±3.5 |\n| Colon | 77.0±11.0 | 79.3±9.2 | 80.3±9.1 | 81.5±9.4 | 82.0±8.8 | 83.0±7.4 |\n| Duodenum | 66.8±12.8 | 70.3±10.4 | 70.2±11.3 | 72.6±11.4 | 73.4±11.1 | 75.4±9.1 |\n| Gallbladder | 85.4±10.3 | 87.9±7.5 | 87.8±8.3 | 88.9±6.2 | 89.4±6.1 | 90.5±5.3 |\n| IVC | 80.8±10.2 | 84.7±5.9 | 84.0±6.0 | 85.6±5.8 | 86.0±5.5 | 87.0±4.2 |\n| Kidney(L) | 83.9±22.4 | 95.2±2.6 | 96.1±2.0 | 96.2±2.2 | 95.9±2.3 | 96.8±1.9 |\n| Kidney(R) | 88.0±14.4 | 95.6±4.5 | 95.8±4.9 | 95.9±4.9 | 96.0±2.5 | 98.4±2.1 |\n| Liver | 91.4±9.9 | 95.7±1.8 | 96.8±0.8 | 97.0±0.9 | 97.0±0.8 | 98.0±0.7 |","| Gallbladder | 1.31±0.76 | 1.21±0.50 | 1.22±0.52 | 1.12±0.50 | 1.05±0.41 | 0.95±0.37 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IVC | 1.57±1.53 | 1.15±1.05 | 1.26±1.08 | 1.16±1.38 | 1.12±1.24 | 1.08±1.03 |\n| Kidney(L) | 0.77±1.04 | 0.41±0.42 | 0.36±0.47 | 0.34±0.47 | 0.30±0.33 | 0.30±0.30 |\n| Kidney(R) | 1.39±2.01 | 1.03±1.68 | 1.05±1.74 | 0.74±1.32 | 0.54±1.09 | 0.45±0.89 |\n| Liver | 1.89±3.21 | 1.60±0 | 1.61±2.98 | 1.39±2.64 | 1.32±1.74 | 1.23±1.52 |\n| Pancreas | 1.78±1.05 | 1.51±0.80 | 1.41±0.88 | 1.19±0.82 | 1.17±0.72 | 1.05±0.65 |\n| Smallbowel | 4.21±5.78 | 4.01±6.01 | 3.91±6.05 | 3.20±4.05 | 3.37±5.48 | 3.01±3.35 |\n| Spleen | 0.98±0.56 | 0.59±0.37 | 0.60±0.36 | 0.56±0.40 | 0.47±0.27 | 0.42±0.25 |\n| Stomach | 2.78±5.89 | 2.50±5.02 | 2.51±5.13 | 2.36±5.65 | 1.88±1.64 | 1.68±1.55 |\n| Veins | 2.31±4.51 | 1.75±3.51 | 1.69±3.61 | 1.92±6.48 | 1.40±3.61 | 1.21±3.05 |",0]
["| Method | Overlap | Disp. | Swap |\n| --- | --- | --- | --- |\n| eDN(MaxAvg) | 0.3573 | 0.1729 | 0.6366 |\n| eDN(MaxDiﬀ) | 0.4857 | 0.1372 | 0.4534 |\n| BMS(MaxAvg) | 0.3427 | 0.1815 | 0.5775 |\n| BMS(MaxDiﬀ) | 0.3905 | 0.1674 | 0.4962 |\n| SVM+DeCAF7 | 0.5154 | 0.1325 | 0.4201 |\n| AVA1-1+DeCAF7 | 0.5223 | 0.1294 | 0.1317 |\n| AVA2-2+DeCAF7 | 0.5069 | 0.1346 | 0.2379 |\n| AVA5-5+DeCAF7 | 0.4931 | 0.1384 | 0.2775 |","| Our+SIFT-FV | 0.5917 | 0.1084 | 0.3068 |\n| --- | --- | --- | --- |\n| Our+Color-FV | 0.5042 | 0.1405 | 0.3692 |\n| Our+DeCAF7 | 0.6019 | 0.1060 | 0.3225 |",1]
["| Method | Overlap | Disp. | Swap |\n| --- | --- | --- | --- |\n| eDN(MaxAvg) | 0.3573 | 0.1729 | 0.6366 |\n| eDN(MaxDiﬀ) | 0.4857 | 0.1372 | 0.4534 |\n| BMS(MaxAvg) | 0.3427 | 0.1815 | 0.5775 |\n| BMS(MaxDiﬀ) | 0.3905 | 0.1674 | 0.4962 |\n| SVM+DeCAF7 | 0.5154 | 0.1325 | 0.4201 |\n| AVA1-1+DeCAF7 | 0.5223 | 0.1294 | 0.1317 |\n| AVA2-2+DeCAF7 | 0.5069 | 0.1346 | 0.2379 |\n| AVA5-5+DeCAF7 | 0.4931 | 0.1384 | 0.2775 |","| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0257,0.0486) | (0.0133,0.0266) | (0.0067,0.0141) | (0.0034,0.0074) |\n| HF | (0.0275,0.0538) | (0.0142,0.0305) | (0.0070,0.0154) | (0.0035,0.0079) |\n| BD | (0.0273,0.0524) | (0.0137,0.0280) | (0.0069,0.0153) | (0.0035,0.0081) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0650,0.2000) | (0.0326,0.1088) | (0.0163,0.0490) | (0.0081,0.0259) |\n| HF | (0.0883,0.2238) | (0.0418,0.1405) | (0.0203,0.1386) | (0.0100,0.1379) |\n| BD | (0.1333,0.2028) | (0.0781,0.1278) | (0.0445,0.0690) | (0.0277,0.0344) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 19.0 | 77.8 | 322 | 1821 |\n| timing(sec) |  |  |  |  |",0]
["| Method | Overlap | Disp. | Swap |\n| --- | --- | --- | --- |\n| eDN(MaxAvg) | 0.3573 | 0.1729 | 0.6366 |\n| eDN(MaxDiﬀ) | 0.4857 | 0.1372 | 0.4534 |","| BMS(MaxAvg) | 0.3427 | 0.1815 | 0.5775 |\n| --- | --- | --- | --- |\n| BMS(MaxDiﬀ) | 0.3905 | 0.1674 | 0.4962 |\n| SVM+DeCAF7 | 0.5154 | 0.1325 | 0.4201 |\n| AVA1-1+DeCAF7 | 0.5223 | 0.1294 | 0.1317 |\n| AVA2-2+DeCAF7 | 0.5069 | 0.1346 | 0.2379 |\n| AVA5-5+DeCAF7 | 0.4931 | 0.1384 | 0.2775 |\n| Our+SIFT-FV | 0.5917 | 0.1084 | 0.3068 |\n| Our+Color-FV | 0.5042 | 0.1405 | 0.3692 |\n| Our+DeCAF7 | 0.6019 | 0.1060 | 0.3225 |",1]
["| Method | Overlap | Disp. | Swap |\n| --- | --- | --- | --- |\n| eDN(MaxAvg) | 0.3573 | 0.1729 | 0.6366 |\n| eDN(MaxDiﬀ) | 0.4857 | 0.1372 | 0.4534 |","| BD | (0.1333,0.2028) | (0.0781,0.1278) | (0.0445,0.0690) | (0.0277,0.0344) |\n| --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 19.0 | 77.8 | 322 | 1821 |\n| timing(sec) |  |  |  |  |",0]
["| sFd | Single-stepFeedforward |\n| --- | --- |\n| iFd | IteratedFeedforward |\n| CnD | Conditioning |\n| S | Sampling |\n| iM | InputManipulation |\n| A | Adversarial |\n| R | Reinforcement |","| uS | Unitselection |\n| --- | --- |\n| Cp | Compound |",1]
["| sFd | Single-stepFeedforward |\n| --- | --- |\n| iFd | IteratedFeedforward |\n| CnD | Conditioning |\n| S | Sampling |\n| iM | InputManipulation |\n| A | Adversarial |\n| R | Reinforcement |","| Instruction | SynapseDrivingVoltage | FeedbackVoltage(F) |\n| --- | --- | --- |\n| FF | Forward-Float | None/Floating |\n| FH | Forward-High | −V |\n| FL | Forward-Low | +V |\n| FU | Forward-Unsupervised | −Vify≥0else+V |\n| FA | Forward-Anti-Unsupervised | +Vify≥0else−V |\n| FZ | Forward-Zero | 0 |\n| RF | Reverse-Float | None/Floating |\n| RH | Reverse-High | −V |\n| RL | Reverse-Low | +V |\n| RU | Reverse-Unsupervised | −Vify≥0else+V |\n| RA | Reverse-Anti-Unsupervised | +Vify≥0else−V |\n| RZ | Reverse-Zero | 0 |",0]
["| sFd | Single-stepFeedforward |\n| --- | --- |\n| iFd | IteratedFeedforward |\n| CnD | Conditioning |\n| S | Sampling |","| iM | InputManipulation |\n| --- | --- |\n| A | Adversarial |\n| R | Reinforcement |\n| uS | Unitselection |\n| Cp | Compound |",1]
["| sFd | Single-stepFeedforward |\n| --- | --- |\n| iFd | IteratedFeedforward |\n| CnD | Conditioning |\n| S | Sampling |","| FL | Forward-Low | +V |\n| --- | --- | --- |\n| FU | Forward-Unsupervised | −Vify≥0else+V |\n| FA | Forward-Anti-Unsupervised | +Vify≥0else−V |\n| FZ | Forward-Zero | 0 |\n| RF | Reverse-Float | None/Floating |\n| RH | Reverse-High | −V |\n| RL | Reverse-Low | +V |\n| RU | Reverse-Unsupervised | −Vify≥0else+V |\n| RA | Reverse-Anti-Unsupervised | +Vify≥0else−V |\n| RZ | Reverse-Zero | 0 |",0]
["| Class | Flow/RGBaccuracyratio |\n| --- | --- |\n| ‘rockscissorspaper’ | 5.3 |\n| ‘swordﬁghting’ | 3.1 |\n| ‘robotdancing’ | 3.1 |\n| ‘airdrumming’ | 2.8 |\n| ‘exercisingarm’ | 2.5 |","| ‘makingacake’ | 0.1 |\n| --- | --- |\n| ‘cookingsausages’ | 0.1 |\n| ‘sniﬃng’ | 0.1 |\n| ‘eatingcake’ | 0.0 |\n| ‘makingasandwich’ | 0.0 |",1]
["| Class | Flow/RGBaccuracyratio |\n| --- | --- |\n| ‘rockscissorspaper’ | 5.3 |\n| ‘swordﬁghting’ | 3.1 |\n| ‘robotdancing’ | 3.1 |\n| ‘airdrumming’ | 2.8 |\n| ‘exercisingarm’ | 2.5 |","| Object | Action1Action2Action3Action4Action5 |\n| --- | --- |\n| Cup | DrinkMovePoundPourShake |\n|  | 0.0960.1220.1080.1070.110 |\n| Fork | EatHolePickScratchWhisk |\n|  | 0.1060.0900.0750.0940.100 |\n| Knife | ChopCutPokeScratchSpread |\n|  | 0.1570.1550.1090.1230.110 |\n| Sponge | FlipScratchSqueezeWashWipe |\n|  | 0.1010.1300.1120.1270.121 |",0]
["| Class | Flow/RGBaccuracyratio |\n| --- | --- |\n| ‘rockscissorspaper’ | 5.3 |\n| ‘swordﬁghting’ | 3.1 |\n| ‘robotdancing’ | 3.1 |\n| ‘airdrumming’ | 2.8 |\n| ‘exercisingarm’ | 2.5 |","| ‘makingacake’ | 0.1 |\n| --- | --- |\n| ‘cookingsausages’ | 0.1 |\n| ‘sniﬃng’ | 0.1 |\n| ‘eatingcake’ | 0.0 |\n| ‘makingasandwich’ | 0.0 |",1]
["| Class | Flow/RGBaccuracyratio |\n| --- | --- |\n| ‘rockscissorspaper’ | 5.3 |\n| ‘swordﬁghting’ | 3.1 |\n| ‘robotdancing’ | 3.1 |\n| ‘airdrumming’ | 2.8 |\n| ‘exercisingarm’ | 2.5 |","| Fork | EatHolePickScratchWhisk |\n| --- | --- |\n|  | 0.1060.0900.0750.0940.100 |\n| Knife | ChopCutPokeScratchSpread |\n|  | 0.1570.1550.1090.1230.110 |\n| Sponge | FlipScratchSqueezeWashWipe |\n|  | 0.1010.1300.1120.1270.121 |",0]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| k | Modularity | λ2 | Modularity | λ2 |\n| 50 | 0.6033 | 0.0012 | 0.0146 | 0.0094 |\n| 60 | 0.0223 | 1.9278×10 | 0.0987 | 5.3686×10 |","| 70 | 0.0049 | 1.1783×10 | 0.0282 | 2.3541×10 |\n| --- | --- | --- | --- | --- |\n| 80 | 0.0014 | 1.0335×10 | 0.0117 | 8.0141×10 |\n| 90 | 0.0010 | 1.6525×10 | 0.0238 | 3.7983×10 |\n| 100 | 0.0024 | 1.1762×10 | 0.0026 | 5.7496×10 |\n| 200 | 7.6224×10 | 1.0702×10 | 0.0281 | 9.0932×10 |\n| 300 | 1.0352×10 | 1.5826×10 | 0.0275 | 3.3413×10 |\n| 400 | 4.6564×10 | 3.1102×10 | 0.0439 | 3.2788×10 |\n| 500 | 3.1176×10 | 4.5524×10 | 0.1043 | 0.0013 |",1]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| k | Modularity | λ2 | Modularity | λ2 |\n| 50 | 0.6033 | 0.0012 | 0.0146 | 0.0094 |\n| 60 | 0.0223 | 1.9278×10 | 0.0987 | 5.3686×10 |","| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |\n| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |\n| 5000 | 0.0016 |  |  |  | 0.99850 |  |\n| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| k | Modularity | λ2 | Modularity | λ2 |\n| 50 | 0.6033 | 0.0012 | 0.0146 | 0.0094 |\n| 60 | 0.0223 | 1.9278×10 | 0.0987 | 5.3686×10 |\n| 70 | 0.0049 | 1.1783×10 | 0.0282 | 2.3541×10 |\n| 80 | 0.0014 | 1.0335×10 | 0.0117 | 8.0141×10 |\n| 90 | 0.0010 | 1.6525×10 | 0.0238 | 3.7983×10 |","| 100 | 0.0024 | 1.1762×10 | 0.0026 | 5.7496×10 |\n| --- | --- | --- | --- | --- |\n| 200 | 7.6224×10 | 1.0702×10 | 0.0281 | 9.0932×10 |\n| 300 | 1.0352×10 | 1.5826×10 | 0.0275 | 3.3413×10 |\n| 400 | 4.6564×10 | 3.1102×10 | 0.0439 | 3.2788×10 |\n| 500 | 3.1176×10 | 4.5524×10 | 0.1043 | 0.0013 |",1]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| k | Modularity | λ2 | Modularity | λ2 |\n| 50 | 0.6033 | 0.0012 | 0.0146 | 0.0094 |\n| 60 | 0.0223 | 1.9278×10 | 0.0987 | 5.3686×10 |\n| 70 | 0.0049 | 1.1783×10 | 0.0282 | 2.3541×10 |\n| 80 | 0.0014 | 1.0335×10 | 0.0117 | 8.0141×10 |\n| 90 | 0.0010 | 1.6525×10 | 0.0238 | 3.7983×10 |","| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["| Resolution | lrelativeerror(SL)2 | lrelativeerror(FFSL)2 |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| N | M | I1 | I3 | R0 | R2 |\n| 50 | 320 | 0.316 | 8.69·10 | 0.270 | 2.67·10 |","| 100 | 640 | 0.212 | 4.76·10 | 0.156 | 1.65·10 |\n| --- | --- | --- | --- | --- | --- |\n| 200 | 1280 | 0.171 | 4.84·10 | 9.85·10 | 1.09·10 |\n| 400 | 2560 | 0.135 | 4.49·10 | 6.03·10 | 2.69·10 |\n| 800 | 5120 | 0.107 | 3.22·10 | 3.72·10 | 2.79·10 |",1]
["| Resolution | lrelativeerror(SL)2 | lrelativeerror(FFSL)2 |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| N | M | I1 | I3 | R0 | R2 |\n| 50 | 320 | 0.316 | 8.69·10 | 0.270 | 2.67·10 |","| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| N | M | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 0.8 | 1.50·10 | 3.33·10 | 1.5·10 | 3.79·10 |\n| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 |\n| 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 |\n| 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 |\n| 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 |\n| 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |",0]
["| Resolution | lrelativeerror(SL)2 | lrelativeerror(FFSL)2 |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| N | M | I1 | I3 | R0 | R2 |","| 50 | 320 | 0.316 | 8.69·10 | 0.270 | 2.67·10 |\n| --- | --- | --- | --- | --- | --- |\n| 100 | 640 | 0.212 | 4.76·10 | 0.156 | 1.65·10 |\n| 200 | 1280 | 0.171 | 4.84·10 | 9.85·10 | 1.09·10 |\n| 400 | 2560 | 0.135 | 4.49·10 | 6.03·10 | 2.69·10 |\n| 800 | 5120 | 0.107 | 3.22·10 | 3.72·10 | 2.79·10 |",1]
["| Resolution | lrelativeerror(SL)2 | lrelativeerror(FFSL)2 |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| N | M | I1 | I3 | R0 | R2 |","| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 |\n| 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 |\n| 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 |\n| 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |",0]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| DhrystoneMean(MIPS) | 2064 | 0.1709 | 0.9946 |\n| DhrystoneVariance | 1.379e6 | 0.3313 | 0.9937 |","| WhetstoneMean(MIPS) | 1179 | 0.1157 | 0.9981 |\n| --- | --- | --- | --- |\n| WhetstoneVariance | 3.237e5 | 0.1057 | 0.8795 |\n| DiskSpaceMean(GB) | 31.59 | 0.2691 | 0.9955 |\n| DiskSpaceVariance | 2890 | 0.5224 | 0.9954 |",1]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| DhrystoneMean(MIPS) | 2064 | 0.1709 | 0.9946 |\n| DhrystoneVariance | 1.379e6 | 0.3313 | 0.9937 |","|  | a | b | r |\n| --- | --- | --- | --- |\n| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |\n| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |\n| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |\n| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 |\n| 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |\n| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 |",0]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| DhrystoneMean(MIPS) | 2064 | 0.1709 | 0.9946 |\n| DhrystoneVariance | 1.379e6 | 0.3313 | 0.9937 |","| WhetstoneMean(MIPS) | 1179 | 0.1157 | 0.9981 |\n| --- | --- | --- | --- |\n| WhetstoneVariance | 3.237e5 | 0.1057 | 0.8795 |\n| DiskSpaceMean(GB) | 31.59 | 0.2691 | 0.9955 |\n| DiskSpaceVariance | 2890 | 0.5224 | 0.9954 |",1]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| DhrystoneMean(MIPS) | 2064 | 0.1709 | 0.9946 |\n| DhrystoneVariance | 1.379e6 | 0.3313 | 0.9937 |","| 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |\n| --- | --- | --- | --- |\n| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 |",0]
["| Model | P(task1) | R(task1) | F(task1) | P(task2) | R(task2) | F(task2) |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomBaseline | 0.283 | 0.503 | 0.362 | 0.073 | 0.201 | 0.106 |","| CosineBaseline | 0.589 | 0.573 | 0.581 | 0.170 | 0.165 | 0.167 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ROOT18(100) | 0.818 | 0.657 | 0.729 | 0.304 | 0.213 | 0.249 |\n| ROOT18(500) | 0.818 | 0.650 | 0.724 | 0.313 | 0.227 | 0.262 |\n| ROOT18(1000) | 0.823 | 0.657 | 0.731 | 0.343 | 0.218 | 0.261 |",1]
["| Model | P(task1) | R(task1) | F(task1) | P(task2) | R(task2) | F(task2) |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomBaseline | 0.283 | 0.503 | 0.362 | 0.073 | 0.201 | 0.106 |","| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |\n| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |\n| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |\n| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |\n| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| Model | P(task1) | R(task1) | F(task1) | P(task2) | R(task2) | F(task2) |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomBaseline | 0.283 | 0.503 | 0.362 | 0.073 | 0.201 | 0.106 |\n| CosineBaseline | 0.589 | 0.573 | 0.581 | 0.170 | 0.165 | 0.167 |","| ROOT18(100) | 0.818 | 0.657 | 0.729 | 0.304 | 0.213 | 0.249 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ROOT18(500) | 0.818 | 0.650 | 0.724 | 0.313 | 0.227 | 0.262 |\n| ROOT18(1000) | 0.823 | 0.657 | 0.731 | 0.343 | 0.218 | 0.261 |",1]
["| Model | P(task1) | R(task1) | F(task1) | P(task2) | R(task2) | F(task2) |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomBaseline | 0.283 | 0.503 | 0.362 | 0.073 | 0.201 | 0.106 |\n| CosineBaseline | 0.589 | 0.573 | 0.581 | 0.170 | 0.165 | 0.167 |","| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["|  |  | D=2,ring |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 115.50/1.64<br>112.89/1.56<br>130.15/1.40 | 132.30/3.85<br>134.38/3.18<br>144.75/2.87 | 147.06/5.71<br>147.78/4.41<br>152.87/3.97 | 152.28/6.91<br>139.86/5.43<br>142.35/5.02 | 104.35/2.05<br>108.99/1.85<br>108.99/1.73 | 140.85/3.48<br>149.07/3.21<br>149.07/2.90 | 195.44/5.17<br>209.06/4.65<br>209.06/4.07 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 86.15/0.43<br>86.15/0.42<br>86.02/0.49 | 122.32/1.61<br>123.71/1.37<br>134.53/1.29 | 133.48/3.96<br>132.89/3.67<br>137.30/3.35 | 137.77/5.45<br>130.15/5.17<br>130.72/4.80 | 86.21/0.44<br>86.15/0.41<br>86.15/0.46 | 131.15/1.33<br>138.25/1.06<br>138.25/1.05 | 172.91/3.19<br>188.68/2.62<br>188.68/2.38 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.80/0.41<br>57.78/0.39<br>57.83/0.46 | 101.10/0.74<br>100.84/0.72<br>100.84/0.81 | 122.08/2.96<br>121.58/2.67<br>122.70/2.52 | 125.92/5.01<br>120.97/4.87<br>121.70/4.56 | 57.86/0.39<br>57.80/0.38<br>57.80/0.44 | 102.48/0.75<br>102.21/0.67<br>102.21/0.74 | 155.44/1.82<br>161.51/1.43<br>161.51/1.40 |\n|  |  | D=3,honeycomb |  |  |  |  |  |  |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 113.21/1.69<br>114.83/1.67<br>127.93/1.51 | 184.05/2.29<br>187.79/2.22<br>247.42/1.64 | 181.27/5.16<br>179.64/4.37<br>242.91/3.62 | 323.45/6.47<br>314.96/5.99<br>385.85/4.93 | 156.45/0.83<br>166.67/0.67<br>166.67/0.67 | 203.74/2.06<br>229.89/1.93<br>250.52/1.58 | 314.96/3.60<br>332.41/3.41<br>339.94/2.98 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 85.96/0.45<br>85.90/0.43<br>85.90/0.49 | 151.32/0.91<br>151.52/0.84<br>151.32/0.90 | 160.64/3.52<br>163.71/3.10<br>213.52/2.08 | 267.26/4.69<br>261.44/4.20<br>305.34/3.48 | 86.52/0.45<br>86.52/0.44<br>86.52/0.53 | 152.67/0.86<br>152.48/0.82<br>152.28/0.88 | 242.91/1.81<br>241.94/1.66<br>244.40/1.58 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.72/0.40<br>57.72/0.40<br>57.75/0.46 | 102.48/0.80<br>102.48/0.79<br>102.65/0.86 | 144.75/2.27<br>148.88/2.01<br>162.38/1.58 | 223.88/3.49<br>226.42/3.21<br>233.92/2.87 | 58.00/0.44<br>58.00/0.44<br>58.00/0.50 | 103.18/0.78<br>103.09/0.78<br>103.09/0.83 | 167.13/1.56<br>168.07/1.50<br>168.07/1.48 |\n|  |  | D=4,toroidalmesh |  |  |  |  |  |  |","|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 123.84/1.17<br>129.87/1.14<br>165.29/0.69 | 171.67/2.10<br>167.83/2.00<br>282.35/1.30 | 187.21/4.24<br>200.33/3.67<br>357.14/2.79 | 310.08/6.24<br>323.45/5.77<br>497.93/4.52 | 140.19/0.94<br>155.24/0.82<br>167.13/0.67 | 268.46/1.56<br>281.69/1.30<br>281.69/1.24 | 334.26/3.31<br>347.83/3.13<br>397.35/2.49 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 86.15/0.46<br>86.08/0.45<br>86.21/0.54 | 147.78/1.03<br>151.52/0.95<br>152.28/1.05 | 165.29/2.75<br>178.31/2.51<br>242.42/1.85 | 260.30/4.58<br>270.27/4.25<br>334.26/3.46 | 86.52/0.47<br>86.52/0.46<br>86.52/0.57 | 153.65/0.89<br>153.85/0.88<br>153.85/0.96 | 248.45/1.91<br>247.93/1.81<br>248.96/1.77 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.80/0.44<br>57.80/0.44<br>57.83/0.50 | 102.92/0.93<br>102.92/0.91<br>102.92/0.98 | 154.64/1.97<br>163.49/1.79<br>166.90/1.79 | 223.46/3.81<br>226.42/3.57<br>238.57/3.25 | 58.00/0.46<br>58.00/0.45<br>58.00/0.53 | 103.54/0.88<br>103.54/0.86<br>103.54/0.92 | 169.01/1.75<br>169.25/1.69<br>169.25/1.68 |",1]
["|  |  | D=2,ring |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 115.50/1.64<br>112.89/1.56<br>130.15/1.40 | 132.30/3.85<br>134.38/3.18<br>144.75/2.87 | 147.06/5.71<br>147.78/4.41<br>152.87/3.97 | 152.28/6.91<br>139.86/5.43<br>142.35/5.02 | 104.35/2.05<br>108.99/1.85<br>108.99/1.73 | 140.85/3.48<br>149.07/3.21<br>149.07/2.90 | 195.44/5.17<br>209.06/4.65<br>209.06/4.07 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 86.15/0.43<br>86.15/0.42<br>86.02/0.49 | 122.32/1.61<br>123.71/1.37<br>134.53/1.29 | 133.48/3.96<br>132.89/3.67<br>137.30/3.35 | 137.77/5.45<br>130.15/5.17<br>130.72/4.80 | 86.21/0.44<br>86.15/0.41<br>86.15/0.46 | 131.15/1.33<br>138.25/1.06<br>138.25/1.05 | 172.91/3.19<br>188.68/2.62<br>188.68/2.38 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.80/0.41<br>57.78/0.39<br>57.83/0.46 | 101.10/0.74<br>100.84/0.72<br>100.84/0.81 | 122.08/2.96<br>121.58/2.67<br>122.70/2.52 | 125.92/5.01<br>120.97/4.87<br>121.70/4.56 | 57.86/0.39<br>57.80/0.38<br>57.80/0.44 | 102.48/0.75<br>102.21/0.67<br>102.21/0.74 | 155.44/1.82<br>161.51/1.43<br>161.51/1.40 |\n|  |  | D=3,honeycomb |  |  |  |  |  |  |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 113.21/1.69<br>114.83/1.67<br>127.93/1.51 | 184.05/2.29<br>187.79/2.22<br>247.42/1.64 | 181.27/5.16<br>179.64/4.37<br>242.91/3.62 | 323.45/6.47<br>314.96/5.99<br>385.85/4.93 | 156.45/0.83<br>166.67/0.67<br>166.67/0.67 | 203.74/2.06<br>229.89/1.93<br>250.52/1.58 | 314.96/3.60<br>332.41/3.41<br>339.94/2.98 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 85.96/0.45<br>85.90/0.43<br>85.90/0.49 | 151.32/0.91<br>151.52/0.84<br>151.32/0.90 | 160.64/3.52<br>163.71/3.10<br>213.52/2.08 | 267.26/4.69<br>261.44/4.20<br>305.34/3.48 | 86.52/0.45<br>86.52/0.44<br>86.52/0.53 | 152.67/0.86<br>152.48/0.82<br>152.28/0.88 | 242.91/1.81<br>241.94/1.66<br>244.40/1.58 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.72/0.40<br>57.72/0.40<br>57.75/0.46 | 102.48/0.80<br>102.48/0.79<br>102.65/0.86 | 144.75/2.27<br>148.88/2.01<br>162.38/1.58 | 223.88/3.49<br>226.42/3.21<br>233.92/2.87 | 58.00/0.44<br>58.00/0.44<br>58.00/0.50 | 103.18/0.78<br>103.09/0.78<br>103.09/0.83 | 167.13/1.56<br>168.07/1.50<br>168.07/1.48 |\n|  |  | D=4,toroidalmesh |  |  |  |  |  |  |","| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["|  |  | D=2,ring |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 115.50/1.64<br>112.89/1.56<br>130.15/1.40 | 132.30/3.85<br>134.38/3.18<br>144.75/2.87 | 147.06/5.71<br>147.78/4.41<br>152.87/3.97 | 152.28/6.91<br>139.86/5.43<br>142.35/5.02 | 104.35/2.05<br>108.99/1.85<br>108.99/1.73 | 140.85/3.48<br>149.07/3.21<br>149.07/2.90 | 195.44/5.17<br>209.06/4.65<br>209.06/4.07 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 86.15/0.43<br>86.15/0.42<br>86.02/0.49 | 122.32/1.61<br>123.71/1.37<br>134.53/1.29 | 133.48/3.96<br>132.89/3.67<br>137.30/3.35 | 137.77/5.45<br>130.15/5.17<br>130.72/4.80 | 86.21/0.44<br>86.15/0.41<br>86.15/0.46 | 131.15/1.33<br>138.25/1.06<br>138.25/1.05 | 172.91/3.19<br>188.68/2.62<br>188.68/2.38 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.80/0.41<br>57.78/0.39<br>57.83/0.46 | 101.10/0.74<br>100.84/0.72<br>100.84/0.81 | 122.08/2.96<br>121.58/2.67<br>122.70/2.52 | 125.92/5.01<br>120.97/4.87<br>121.70/4.56 | 57.86/0.39<br>57.80/0.38<br>57.80/0.44 | 102.48/0.75<br>102.21/0.67<br>102.21/0.74 | 155.44/1.82<br>161.51/1.43<br>161.51/1.40 |\n|  |  | D=3,honeycomb |  |  |  |  |  |  |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |","| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 113.21/1.69<br>114.83/1.67<br>127.93/1.51 | 184.05/2.29<br>187.79/2.22<br>247.42/1.64 | 181.27/5.16<br>179.64/4.37<br>242.91/3.62 | 323.45/6.47<br>314.96/5.99<br>385.85/4.93 | 156.45/0.83<br>166.67/0.67<br>166.67/0.67 | 203.74/2.06<br>229.89/1.93<br>250.52/1.58 | 314.96/3.60<br>332.41/3.41<br>339.94/2.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 85.96/0.45<br>85.90/0.43<br>85.90/0.49 | 151.32/0.91<br>151.52/0.84<br>151.32/0.90 | 160.64/3.52<br>163.71/3.10<br>213.52/2.08 | 267.26/4.69<br>261.44/4.20<br>305.34/3.48 | 86.52/0.45<br>86.52/0.44<br>86.52/0.53 | 152.67/0.86<br>152.48/0.82<br>152.28/0.88 | 242.91/1.81<br>241.94/1.66<br>244.40/1.58 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.72/0.40<br>57.72/0.40<br>57.75/0.46 | 102.48/0.80<br>102.48/0.79<br>102.65/0.86 | 144.75/2.27<br>148.88/2.01<br>162.38/1.58 | 223.88/3.49<br>226.42/3.21<br>233.92/2.87 | 58.00/0.44<br>58.00/0.44<br>58.00/0.50 | 103.18/0.78<br>103.09/0.78<br>103.09/0.83 | 167.13/1.56<br>168.07/1.50<br>168.07/1.48 |\n|  |  | D=4,toroidalmesh |  |  |  |  |  |  |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 123.84/1.17<br>129.87/1.14<br>165.29/0.69 | 171.67/2.10<br>167.83/2.00<br>282.35/1.30 | 187.21/4.24<br>200.33/3.67<br>357.14/2.79 | 310.08/6.24<br>323.45/5.77<br>497.93/4.52 | 140.19/0.94<br>155.24/0.82<br>167.13/0.67 | 268.46/1.56<br>281.69/1.30<br>281.69/1.24 | 334.26/3.31<br>347.83/3.13<br>397.35/2.49 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 86.15/0.46<br>86.08/0.45<br>86.21/0.54 | 147.78/1.03<br>151.52/0.95<br>152.28/1.05 | 165.29/2.75<br>178.31/2.51<br>242.42/1.85 | 260.30/4.58<br>270.27/4.25<br>334.26/3.46 | 86.52/0.47<br>86.52/0.46<br>86.52/0.57 | 153.65/0.89<br>153.85/0.88<br>153.85/0.96 | 248.45/1.91<br>247.93/1.81<br>248.96/1.77 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.80/0.44<br>57.80/0.44<br>57.83/0.50 | 102.92/0.93<br>102.92/0.91<br>102.92/0.98 | 154.64/1.97<br>163.49/1.79<br>166.90/1.79 | 223.46/3.81<br>226.42/3.57<br>238.57/3.25 | 58.00/0.46<br>58.00/0.45<br>58.00/0.53 | 103.54/0.88<br>103.54/0.86<br>103.54/0.92 | 169.01/1.75<br>169.25/1.69<br>169.25/1.68 |",1]
["|  |  | D=2,ring |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |\n| R=1.00 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 115.50/1.64<br>112.89/1.56<br>130.15/1.40 | 132.30/3.85<br>134.38/3.18<br>144.75/2.87 | 147.06/5.71<br>147.78/4.41<br>152.87/3.97 | 152.28/6.91<br>139.86/5.43<br>142.35/5.02 | 104.35/2.05<br>108.99/1.85<br>108.99/1.73 | 140.85/3.48<br>149.07/3.21<br>149.07/2.90 | 195.44/5.17<br>209.06/4.65<br>209.06/4.07 |\n| R=0.50 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 86.15/0.43<br>86.15/0.42<br>86.02/0.49 | 122.32/1.61<br>123.71/1.37<br>134.53/1.29 | 133.48/3.96<br>132.89/3.67<br>137.30/3.35 | 137.77/5.45<br>130.15/5.17<br>130.72/4.80 | 86.21/0.44<br>86.15/0.41<br>86.15/0.46 | 131.15/1.33<br>138.25/1.06<br>138.25/1.05 | 172.91/3.19<br>188.68/2.62<br>188.68/2.38 |\n| R=0.33 | SSP-RR(c)<br>SSP-FL(c)<br>ASP-FT(b) | 57.80/0.41<br>57.78/0.39<br>57.83/0.46 | 101.10/0.74<br>100.84/0.72<br>100.84/0.81 | 122.08/2.96<br>121.58/2.67<br>122.70/2.52 | 125.92/5.01<br>120.97/4.87<br>121.70/4.56 | 57.86/0.39<br>57.80/0.38<br>57.80/0.44 | 102.48/0.75<br>102.21/0.67<br>102.21/0.74 | 155.44/1.82<br>161.51/1.43<br>161.51/1.40 |\n|  |  | D=3,honeycomb |  |  |  |  |  |  |\n|  |  | P=8 | P=16 | P=32 | P=64 | P=8 | P=16 | P=32 |","| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| --- | --- | --- |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["|  | C.T. | B.A.C. | nl-means | nl-Poisson | Guideﬁlln.t. | Guideﬁll |\n| --- | --- | --- | --- | --- | --- | --- |\n| Wine | 340ms | 1min40s | 41s | 2min11s | 233ms | 261ms |","| Bust | 2.13s | 37min | 23min | 1hr10min | 1.34s | 559ms |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pumpkin | 15.7s | − | − | − | 6.66s | 1.14s |\n| Planet | 28.5s | − | − | − | 4.27s | 923ms |",1]
["|  | C.T. | B.A.C. | nl-means | nl-Poisson | Guideﬁlln.t. | Guideﬁll |\n| --- | --- | --- | --- | --- | --- | --- |\n| Wine | 340ms | 1min40s | 41s | 2min11s | 233ms | 261ms |","|  | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| η=0.1 | 47.64 | 46.78 | 39.26 | 56.63 | 47.09 | 67.29 | 60.65 | 38.76 | 42.99 | 44.86 | 49.19 | 8.90 |\n| η=0.9 | 145.90 | 155.75 | 168.04 | 199.94 | 171.94 | 243.61 | 162.15 | 144.08 | 103.82 | 117.94 | 161.32 | 37.65 |\n| eη | 98.27 | 108.97 | 128.78 | 143.31 | 124.85 | 176.33 | 101.50 | 105.33 | 60.83 | 73.08 | 112.12 | 31.70 |\n| η=0.1 | 45.71 | 59.28 | 47.39 | 54.31 | 58.14 | 69.65 | 50.27 | 44.35 | 43.90 | 48.83 | 52.18 | 7.78 |\n| η=0.9 | 61.23 | 57.63 | 56.30 | 81.25 | 53.65 | 74.69 | 55.76 | 40.86 | 47.74 | 52.03 | 58.11 | 11.36 |\n| eη | 15.52 | -1.65 | 8.91 | 26.94 | -4.49 | 5.04 | 5.49 | -3.49 | 3.85 | 3.20 | 5.93 | 9.00 |\n| η=0.1 | 45.34 | 47.09 | 65.90 | 54.05 | 51.93 | 84.91 | 54.66 | 41.11 | 43.88 | 52.21 | 54.11 | 12.23 |\n| η=0.9 | 213.49 | 168.69 | 197.52 | 188.80 | 171.62 | 236.93 | 174.46 | 183.98 | 84.95 | 122.82 | 174.32 | 41.20 |\n| eη | 168.15 | 121.59 | 131.62 | 134.75 | 119.69 | 152.02 | 119.80 | 142.87 | 41.07 | 70.61 | 120.22 | 35.90 |",0]
["|  | C.T. | B.A.C. | nl-means | nl-Poisson | Guideﬁlln.t. | Guideﬁll |\n| --- | --- | --- | --- | --- | --- | --- |\n| Wine | 340ms | 1min40s | 41s | 2min11s | 233ms | 261ms |","| Bust | 2.13s | 37min | 23min | 1hr10min | 1.34s | 559ms |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pumpkin | 15.7s | − | − | − | 6.66s | 1.14s |\n| Planet | 28.5s | − | − | − | 4.27s | 923ms |",1]
["|  | C.T. | B.A.C. | nl-means | nl-Poisson | Guideﬁlln.t. | Guideﬁll |\n| --- | --- | --- | --- | --- | --- | --- |\n| Wine | 340ms | 1min40s | 41s | 2min11s | 233ms | 261ms |","| η=0.9 | 145.90 | 155.75 | 168.04 | 199.94 | 171.94 | 243.61 | 162.15 | 144.08 | 103.82 | 117.94 | 161.32 | 37.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eη | 98.27 | 108.97 | 128.78 | 143.31 | 124.85 | 176.33 | 101.50 | 105.33 | 60.83 | 73.08 | 112.12 | 31.70 |\n| η=0.1 | 45.71 | 59.28 | 47.39 | 54.31 | 58.14 | 69.65 | 50.27 | 44.35 | 43.90 | 48.83 | 52.18 | 7.78 |\n| η=0.9 | 61.23 | 57.63 | 56.30 | 81.25 | 53.65 | 74.69 | 55.76 | 40.86 | 47.74 | 52.03 | 58.11 | 11.36 |\n| eη | 15.52 | -1.65 | 8.91 | 26.94 | -4.49 | 5.04 | 5.49 | -3.49 | 3.85 | 3.20 | 5.93 | 9.00 |\n| η=0.1 | 45.34 | 47.09 | 65.90 | 54.05 | 51.93 | 84.91 | 54.66 | 41.11 | 43.88 | 52.21 | 54.11 | 12.23 |\n| η=0.9 | 213.49 | 168.69 | 197.52 | 188.80 | 171.62 | 236.93 | 174.46 | 183.98 | 84.95 | 122.82 | 174.32 | 41.20 |\n| eη | 168.15 | 121.59 | 131.62 | 134.75 | 119.69 | 152.02 | 119.80 | 142.87 | 41.07 | 70.61 | 120.22 | 35.90 |",0]
["| - | Random | Uniform | Regression | RegressionL2 | Non-linearMapping | Two-stream |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ego-Side | 50 | 50.78 | 63.12 | 62.11 | 84.68 | 76.59 |\n| Side-Ego | 50 | 51.13 | 70.86 | 70.73 | 87.51 | 86.88 |","| Ego-Top | 50 | 50.53 | 56.3 | 55.08 | 61.28 | 78.27 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Top-Ego | 50 | 50.38 | 60.52 | 60.01 | 67.3 | 78.39 |",1]
["| - | Random | Uniform | Regression | RegressionL2 | Non-linearMapping | Two-stream |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ego-Side | 50 | 50.78 | 63.12 | 62.11 | 84.68 | 76.59 |\n| Side-Ego | 50 | 51.13 | 70.86 | 70.73 | 87.51 | 86.88 |","| k/paa | 0.2 | 0.4 | 0.6 | 0.8 | 1 | 1.2 | 1.4 | 1.6 | 1.8 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | 0.0 | 0.0 | 5.9 | 13.0 | 21.7 | 27.3 | 29.4 | 29.4 | 29.4 | 29.4 |\n| Avg | 3.9 | 10.5 | 20.0 | 29.1 | 38.3 | 48.8 | 60.4 | 72.5 | 85.6 | 98.0 |\n| Max | 10.0 | 18.2 | 50.0 | 62.5 | 87.5 | 112.5 | 137.5 | 150.0 | 175.0 | 187.5 |\n| #Worse | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| #Better | 31 | 49 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |",0]
["| - | Random | Uniform | Regression | RegressionL2 | Non-linearMapping | Two-stream |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ego-Side | 50 | 50.78 | 63.12 | 62.11 | 84.68 | 76.59 |\n| Side-Ego | 50 | 51.13 | 70.86 | 70.73 | 87.51 | 86.88 |","| Ego-Top | 50 | 50.53 | 56.3 | 55.08 | 61.28 | 78.27 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Top-Ego | 50 | 50.38 | 60.52 | 60.01 | 67.3 | 78.39 |",1]
["| - | Random | Uniform | Regression | RegressionL2 | Non-linearMapping | Two-stream |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ego-Side | 50 | 50.78 | 63.12 | 62.11 | 84.68 | 76.59 |\n| Side-Ego | 50 | 51.13 | 70.86 | 70.73 | 87.51 | 86.88 |","| #Worse | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #Better | 31 | 49 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |",0]
["| BranchesofA | BranchesofB | BranchesofC |\n| --- | --- | --- |\n| *Flatten |  |  |\n| FC-64 | FC-256 | FC-512 |\n| FC-cA1 | FC-256 | FC-512 |\n|  | FC-cB1 | FC-cC1 |\n|  | **Flatten |  |\n|  | FC-512 | FC-1024 |","|  | FC-512 | FC-1024 |\n| --- | --- | --- |\n|  | FC-cB2 | FC-cC2 |",1]
["| BranchesofA | BranchesofB | BranchesofC |\n| --- | --- | --- |\n| *Flatten |  |  |\n| FC-64 | FC-256 | FC-512 |\n| FC-cA1 | FC-256 | FC-512 |\n|  | FC-cB1 | FC-cC1 |\n|  | **Flatten |  |\n|  | FC-512 | FC-1024 |","|  | Bit | CNT2 | CNT1 |\n| --- | --- | --- | --- |\n| Conv-FF | 16 | H,WKK | W×HKK |\n| Conv-BP | 32 | H,WKK | W×HKK |\n| Conv-UP | 32 | P,L | L |\n| FC-FF | 16 | P,L | L |\n| FC-BP | 32 | P,L | L |\n| FC-UP | 32 | h | 1 |",0]
["| BranchesofA | BranchesofB | BranchesofC |\n| --- | --- | --- |\n| *Flatten |  |  |\n| FC-64 | FC-256 | FC-512 |\n| FC-cA1 | FC-256 | FC-512 |\n|  | FC-cB1 | FC-cC1 |","|  | **Flatten |  |\n| --- | --- | --- |\n|  | FC-512 | FC-1024 |\n|  | FC-512 | FC-1024 |\n|  | FC-cB2 | FC-cC2 |",1]
["| BranchesofA | BranchesofB | BranchesofC |\n| --- | --- | --- |\n| *Flatten |  |  |\n| FC-64 | FC-256 | FC-512 |\n| FC-cA1 | FC-256 | FC-512 |\n|  | FC-cB1 | FC-cC1 |","| FC-BP | 32 | P,L | L |\n| --- | --- | --- | --- |\n| FC-UP | 32 | h | 1 |",0]
["| Cell | Mode | Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 7.77 | 8.38 | 8.50 | 1.01 | 1.09 |\n| 2 | 15.22 | 16.59 | 17.52 | 1.06 | 1.15 |  |  |\n| 4 | 28.94 | 31.90 | 34.30 | 1.08 | 1.19 |  |  |\n| 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 |  |  |\n| 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |  |  |\n| ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 |  |  |\n| Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 |  |\n| 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 |  |  |\n| 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 |  |  |\n| 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 |  |  |\n| 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |  |\n| Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 |  |  |\n| MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 |","| 2 | 8.36 | 8.85 | 9.24 | 1.04 | 1.11 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 |  |\n| 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 |  |\n| 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |  |\n| Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 |  |\n| Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 |\n| 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 |  |\n| 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 |  |\n| 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 |  |\n| 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 |  |",1]
["| Cell | Mode | Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 7.77 | 8.38 | 8.50 | 1.01 | 1.09 |\n| 2 | 15.22 | 16.59 | 17.52 | 1.06 | 1.15 |  |  |\n| 4 | 28.94 | 31.90 | 34.30 | 1.08 | 1.19 |  |  |\n| 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 |  |  |\n| 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |  |  |\n| ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 |  |  |\n| Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 |  |\n| 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 |  |  |\n| 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 |  |  |\n| 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 |  |  |\n| 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |  |\n| Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 |  |  |\n| MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 |","| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |\n| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 |  |  |\n| 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 |  |  |\n| ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 |  |  |\n| Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |\n| 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 |  |  |\n| 4-4 | 155.35 | 237.61 | §<br>max | – | – |  |  |\n| Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 |  |  |\n| MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |\n| 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 |  |  |\n| 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 |  |  |\n| Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 |  |  |\n| Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 |  |  |\n| 4-4 | 150.94 | 230.17 | max | – | – |  |  |\n| Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 |  |  |",0]
["| Cell | Mode | Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 7.77 | 8.38 | 8.50 | 1.01 | 1.09 |\n| 2 | 15.22 | 16.59 | 17.52 | 1.06 | 1.15 |  |  |\n| 4 | 28.94 | 31.90 | 34.30 | 1.08 | 1.19 |  |  |\n| 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 |  |  |\n| 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |  |  |\n| ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 |  |  |\n| Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 |  |\n| 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 |  |  |\n| 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 |  |  |\n| 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 |  |  |\n| 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |  |\n| Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 |  |  |\n| MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 |\n| 2 | 8.36 | 8.85 | 9.24 | 1.04 | 1.11 |  |  |\n| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 |  |  |\n| 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 |  |  |\n| 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |  |  |\n| Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 |  |  |","| Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 |  |\n| 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 |  |\n| 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 |  |\n| 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 |  |",1]
["| Cell | Mode | Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 7.77 | 8.38 | 8.50 | 1.01 | 1.09 |\n| 2 | 15.22 | 16.59 | 17.52 | 1.06 | 1.15 |  |  |\n| 4 | 28.94 | 31.90 | 34.30 | 1.08 | 1.19 |  |  |\n| 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 |  |  |\n| 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |  |  |\n| ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 |  |  |\n| Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 |  |\n| 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 |  |  |\n| 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 |  |  |\n| 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 |  |  |\n| 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |  |\n| Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 |  |  |\n| MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 |\n| 2 | 8.36 | 8.85 | 9.24 | 1.04 | 1.11 |  |  |\n| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 |  |  |\n| 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 |  |  |\n| 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |  |  |\n| Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 |  |  |","| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 |  |  |\n| ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 |  |  |\n| Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |\n| 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 |  |  |\n| 4-4 | 155.35 | 237.61 | §<br>max | – | – |  |  |\n| Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 |  |  |\n| MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |\n| 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 |  |  |\n| 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 |  |  |\n| Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 |  |  |\n| Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 |  |  |\n| 4-4 | 150.94 | 230.17 | max | – | – |  |  |\n| Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 |  |  |",0]
["| r=3 | r=3 | r=4 | r=4 |  |\n| --- | --- | --- | --- | --- |\n| Girthg | Lowerboundond | Upperboundond | Lowerboundond | Upperboundond |","| 8 | 6 | 24 | 8 | 120 |\n| --- | --- | --- | --- | --- |\n| 10 | 10 | 24 | 14 | 120 |\n| 12 | 14 | 24 | 26 | 120 |",1]
["| r=3 | r=3 | r=4 | r=4 |  |\n| --- | --- | --- | --- | --- |\n| Girthg | Lowerboundond | Upperboundond | Lowerboundond | Upperboundond |","| p | n | k | Upperboundon∆inf | Explicit∆(newresult)f |\n| --- | --- | --- | --- | --- |\n| 5 | 3 | 2 | 12 | 6 |\n| 5 | 5 | 2 | 12 | 6 |\n| 5 | 5 | 4 | 24 | 6 |\n| 7 | 3 | 2 | 24 | 8 |\n| 7 | 5 | 2 | 24 | 8 |\n| 7 | 5 | 4 | 48 | 8 |\n| 7 | 7 | 2 | 24 | 8 |\n| 7 | 7 | 4 | 48 | 8 |\n| 7 | 7 | 6 | 24 | 8 |\n| 11 | 3 | 2 | 60 | 12 |",0]
["| r=3 | r=3 | r=4 | r=4 |  |\n| --- | --- | --- | --- | --- |\n| Girthg | Lowerboundond | Upperboundond | Lowerboundond | Upperboundond |\n| 8 | 6 | 24 | 8 | 120 |","| 10 | 10 | 24 | 14 | 120 |\n| --- | --- | --- | --- | --- |\n| 12 | 14 | 24 | 26 | 120 |",1]
["| r=3 | r=3 | r=4 | r=4 |  |\n| --- | --- | --- | --- | --- |\n| Girthg | Lowerboundond | Upperboundond | Lowerboundond | Upperboundond |\n| 8 | 6 | 24 | 8 | 120 |","| 5 | 5 | 4 | 24 | 6 |\n| --- | --- | --- | --- | --- |\n| 7 | 3 | 2 | 24 | 8 |\n| 7 | 5 | 2 | 24 | 8 |\n| 7 | 5 | 4 | 48 | 8 |\n| 7 | 7 | 2 | 24 | 8 |\n| 7 | 7 | 4 | 48 | 8 |\n| 7 | 7 | 6 | 24 | 8 |\n| 11 | 3 | 2 | 60 | 12 |",0]
["| Apps | Sets | Weights | In | Out | Complete |\n| --- | --- | --- | --- | --- | --- |\n| Gmail | Conf.1 | 0.80<br>0.20 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |\n| Conf.2 | 0.66<br>0.33 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Conf.3 | 0.33<br>0.66 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Facebook | Conf.1 | 0.66<br>0.33 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |","| Conf.2 | 0.33<br>0.66 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |  |\n| --- | --- | --- | --- | --- | --- |\n| Conf.3 | 0.20<br>0.80 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |  |\n| Twitter | Conf.1 | 0.95<br>0.05 | -<br>- | -<br>- | [7,10]<br>[1,10] |\n| Conf.2 | 0.95<br>0.05 | -<br>- | -<br>- | [8,11]<br>[1,11] |  |\n| Conf.3 | 0.95<br>0.05 | -<br>- | -<br>- | [8,10]<br>[1,10] |  |",1]
["| Apps | Sets | Weights | In | Out | Complete |\n| --- | --- | --- | --- | --- | --- |\n| Gmail | Conf.1 | 0.80<br>0.20 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |\n| Conf.2 | 0.66<br>0.33 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Conf.3 | 0.33<br>0.66 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Facebook | Conf.1 | 0.66<br>0.33 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |","| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |\n| #Edges | 182,384 | 68,282 | 1,202,513,046 |\n| Ave.degree | 8.29 | 16.72 | 57.74 |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["| Apps | Sets | Weights | In | Out | Complete |\n| --- | --- | --- | --- | --- | --- |\n| Gmail | Conf.1 | 0.80<br>0.20 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |\n| Conf.2 | 0.66<br>0.33 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Conf.3 | 0.33<br>0.66 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Facebook | Conf.1 | 0.66<br>0.33 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |","| Conf.2 | 0.33<br>0.66 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |  |\n| --- | --- | --- | --- | --- | --- |\n| Conf.3 | 0.20<br>0.80 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |  |\n| Twitter | Conf.1 | 0.95<br>0.05 | -<br>- | -<br>- | [7,10]<br>[1,10] |\n| Conf.2 | 0.95<br>0.05 | -<br>- | -<br>- | [8,11]<br>[1,11] |  |\n| Conf.3 | 0.95<br>0.05 | -<br>- | -<br>- | [8,10]<br>[1,10] |  |",1]
["| Apps | Sets | Weights | In | Out | Complete |\n| --- | --- | --- | --- | --- | --- |\n| Gmail | Conf.1 | 0.80<br>0.20 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |\n| Conf.2 | 0.66<br>0.33 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Conf.3 | 0.33<br>0.66 | [1,4]<br>[1,6] | [1,2]<br>[1,3] | [1,6]<br>[1,9] |  |\n| Facebook | Conf.1 | 0.66<br>0.33 | [1,3]<br>[1,6] | [1,5]<br>[1,7] | [1,7]<br>[1,12] |","| Ave.degree | 8.29 | 16.72 | 57.74 |\n| --- | --- | --- | --- |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15.4<br>52.9 | 4.6<br>40.5 | 7.6<br>46.4 | 0.0<br>27.7 | 9.1<br>53.2 | 0.5<br>48.0 | 9.1<br>12.6 | 4.5<br>25.9 | 9.1<br>17.4 |","| 13.6<br>56.7 | 9.2<br>37.5 | 11.5<br>44.7 | 3.0<br>30.7 | 13.6<br>55.1 | 10.8<br>55.4 | 0.3<br>4.2 | 9.1<br>35.3 | 9.1<br>24.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4.6<br>55.7 | 4.6<br>35.3 | 3.0<br>46.3 | 2.3<br>31.2 | 9.1<br>54.7 | 1.2<br>49.0 | 0.0<br>10.6 | 0.0<br>30.6 | 9.1<br>13.2 |\n| 3.9<br>58.8 | 1.7<br>34.7 | 9.1<br>44.2 | 0.0<br>35.3 | 9.1<br>47.9 | 3.5<br>55.7 | 0.0<br>6.0 | 0.0<br>24.0 | 9.1<br>16.2 |\n| 7.1<br>51.9 | 9.2<br>44.8 | 3.0<br>41.1 | 0.0<br>38.1 | 10.9<br>53.3 | 13.5<br>52.5 | 0.1<br>11.8 | 0.2<br>28.9 | 9.1<br>18.4 |",1]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15.4<br>52.9 | 4.6<br>40.5 | 7.6<br>46.4 | 0.0<br>27.7 | 9.1<br>53.2 | 0.5<br>48.0 | 9.1<br>12.6 | 4.5<br>25.9 | 9.1<br>17.4 |","| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28.6 | 32.9 | 32.8 | 33.9 | 47.1 | 40.4 | 0.5 | 15.0 | 9.5 |\n| 7.1 | 9.2 | 3.0 | 0.0 | 10.9 | 13.5 | 0.1 | 0.2 | 9.1 |\n| 14.1 | 4.7 | 9.1 | 0.4 | 18.3 | 22.9 | 3.0 | 0.2 | 4.0 |\n| 51.9 | 44.8 | 41.1 | 38.1 | 53.3 | 52.5 | 11.8 | 28.9 | 18.4 |\n| 52.7 | 39.9 | 49.7 | 36.5 | 48.4 | 62.7 | 14.8 | 29.8 | 18.6 |\n| 25.4 | 11.8 | 4.7 | 0.6 | 17.9 | 44.2 | 1.6 | 0.9 | 15.5 |",0]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15.4<br>52.9 | 4.6<br>40.5 | 7.6<br>46.4 | 0.0<br>27.7 | 9.1<br>53.2 | 0.5<br>48.0 | 9.1<br>12.6 | 4.5<br>25.9 | 9.1<br>17.4 |\n| 13.6<br>56.7 | 9.2<br>37.5 | 11.5<br>44.7 | 3.0<br>30.7 | 13.6<br>55.1 | 10.8<br>55.4 | 0.3<br>4.2 | 9.1<br>35.3 | 9.1<br>24.5 |\n| 4.6<br>55.7 | 4.6<br>35.3 | 3.0<br>46.3 | 2.3<br>31.2 | 9.1<br>54.7 | 1.2<br>49.0 | 0.0<br>10.6 | 0.0<br>30.6 | 9.1<br>13.2 |","| 3.9<br>58.8 | 1.7<br>34.7 | 9.1<br>44.2 | 0.0<br>35.3 | 9.1<br>47.9 | 3.5<br>55.7 | 0.0<br>6.0 | 0.0<br>24.0 | 9.1<br>16.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7.1<br>51.9 | 9.2<br>44.8 | 3.0<br>41.1 | 0.0<br>38.1 | 10.9<br>53.3 | 13.5<br>52.5 | 0.1<br>11.8 | 0.2<br>28.9 | 9.1<br>18.4 |",1]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15.4<br>52.9 | 4.6<br>40.5 | 7.6<br>46.4 | 0.0<br>27.7 | 9.1<br>53.2 | 0.5<br>48.0 | 9.1<br>12.6 | 4.5<br>25.9 | 9.1<br>17.4 |\n| 13.6<br>56.7 | 9.2<br>37.5 | 11.5<br>44.7 | 3.0<br>30.7 | 13.6<br>55.1 | 10.8<br>55.4 | 0.3<br>4.2 | 9.1<br>35.3 | 9.1<br>24.5 |\n| 4.6<br>55.7 | 4.6<br>35.3 | 3.0<br>46.3 | 2.3<br>31.2 | 9.1<br>54.7 | 1.2<br>49.0 | 0.0<br>10.6 | 0.0<br>30.6 | 9.1<br>13.2 |","| 14.1 | 4.7 | 9.1 | 0.4 | 18.3 | 22.9 | 3.0 | 0.2 | 4.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 51.9 | 44.8 | 41.1 | 38.1 | 53.3 | 52.5 | 11.8 | 28.9 | 18.4 |\n| 52.7 | 39.9 | 49.7 | 36.5 | 48.4 | 62.7 | 14.8 | 29.8 | 18.6 |\n| 25.4 | 11.8 | 4.7 | 0.6 | 17.9 | 44.2 | 1.6 | 0.9 | 15.5 |",0]
["| Parameter | Value |\n| --- | --- |\n| L2CacheSize | 512KB |\n| L1CacheSize | 16KB |\n| L2CachelineSize | 32bytes |","| L1CachelineSize | 32bytes |\n| --- | --- |\n| BMissPenalty2 | 110ns |\n| BMissPenalty1 | 16.25ns |\n| TLBEntries | 64 |\n| CompCostNode | 30ns |\n| W(MemoryBandwidth)1 | 647MB/s |\n| W(NetworkBandwidth)2 | 138MB/s |",1]
["| Parameter | Value |\n| --- | --- |\n| L2CacheSize | 512KB |\n| L1CacheSize | 16KB |\n| L2CachelineSize | 32bytes |","| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Parameter | Value |\n| --- | --- |\n| L2CacheSize | 512KB |\n| L1CacheSize | 16KB |\n| L2CachelineSize | 32bytes |\n| L1CachelineSize | 32bytes |\n| BMissPenalty2 | 110ns |\n| BMissPenalty1 | 16.25ns |\n| TLBEntries | 64 |","| CompCostNode | 30ns |\n| --- | --- |\n| W(MemoryBandwidth)1 | 647MB/s |\n| W(NetworkBandwidth)2 | 138MB/s |",1]
["| Parameter | Value |\n| --- | --- |\n| L2CacheSize | 512KB |\n| L1CacheSize | 16KB |\n| L2CachelineSize | 32bytes |\n| L1CachelineSize | 32bytes |\n| BMissPenalty2 | 110ns |\n| BMissPenalty1 | 16.25ns |\n| TLBEntries | 64 |","| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| --- | --- | --- |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Label | SouthKorea | Japan | Label | SouthKorea | Japan |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AS3786 | AS2516 | 8 | AS9270 | AS7660 |","| 2 | AS4040 | AS7660 | 9 | AS9318 | AS2497 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | AS4766 | AS2497 | 10 | AS9318 | AS7660 |\n| 4 | AS4766 | AS2516 | 11 | AS17579 | AS7660 |\n| 5 | AS4766 | AS4680 | 12 | AS17579 | AS17934 |\n| 6 | AS4766 | AS7679 | 13 | AS23576 | AS38631 |\n| 7 | AS6619 | AS7660 | 14 | AS45405 | AS38638 |",1]
["| Label | SouthKorea | Japan | Label | SouthKorea | Japan |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AS3786 | AS2516 | 8 | AS9270 | AS7660 |","| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |\n| 6 | 114 | 119 | 126 | 130 | 130 |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["| Label | SouthKorea | Japan | Label | SouthKorea | Japan |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AS3786 | AS2516 | 8 | AS9270 | AS7660 |","| 2 | AS4040 | AS7660 | 9 | AS9318 | AS2497 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | AS4766 | AS2497 | 10 | AS9318 | AS7660 |\n| 4 | AS4766 | AS2516 | 11 | AS17579 | AS7660 |\n| 5 | AS4766 | AS4680 | 12 | AS17579 | AS17934 |\n| 6 | AS4766 | AS7679 | 13 | AS23576 | AS38631 |\n| 7 | AS6619 | AS7660 | 14 | AS45405 | AS38638 |",1]
["| Label | SouthKorea | Japan | Label | SouthKorea | Japan |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AS3786 | AS2516 | 8 | AS9270 | AS7660 |","| 8 | 534 | 543 | 663 | 705 | 706 |\n| --- | --- | --- | --- | --- | --- |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 10agents,randompaths | 0.2573 |\n| 20agents,randompaths | 0.2428 |\n| 30agents,randompaths | 0.2423 |","| 10agents,tightgoals,nodiversiﬁcation | 0.3774 |\n| --- | --- |\n| 20agents,tightgoals,nodiversiﬁcation | 0.2858 |\n| 30agents,tightgoals,nodiversiﬁcation | 0.4390 |\n| 10agents,loosegoals,nodiversiﬁcation | 0.3508 |\n| 20agents,loosegoals,nodiversiﬁcation | 0.3328 |\n| 30agents,loosegoals,nodiversiﬁcation | 0.2436 |\n| 10agents,loosegoals,diversiﬁcation | 0.3254 |\n| 20agents,loosegoals,diversiﬁcation | 0.2949 |\n| 30agents,loosegoals,diversiﬁcation | 0.3026 |",1]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 10agents,randompaths | 0.2573 |\n| 20agents,randompaths | 0.2428 |\n| 30agents,randompaths | 0.2423 |","| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 05agents,randompaths | 0.5506 |\n| 10agents,randompaths | 0.5080 |\n| 15agents,randompaths | 0.5033 |\n| 05agents,tightgoals,nodiversiﬁcation | 0.5462 |\n| 10agents,tightgoals,nodiversiﬁcation | 0.4970 |\n| 15agents,tightgoals,nodiversiﬁcation | 0.5001 |\n| 05agents,loosegoals,nodiversiﬁcation | 0.5487 |\n| 10agents,loosegoals,nodiversiﬁcation | 0.5120 |\n| 15agents,loosegoals,nodiversiﬁcation | 0.4619 |\n| 05agents,loosegoals,diversiﬁcation | 0.5372 |\n| 10agents,loosegoals,diversiﬁcation | 0.5210 |\n| 15agents,loosegoals,diversiﬁcation | 0.4901 |",0]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 10agents,randompaths | 0.2573 |\n| 20agents,randompaths | 0.2428 |\n| 30agents,randompaths | 0.2423 |\n| 10agents,tightgoals,nodiversiﬁcation | 0.3774 |\n| 20agents,tightgoals,nodiversiﬁcation | 0.2858 |","| 30agents,tightgoals,nodiversiﬁcation | 0.4390 |\n| --- | --- |\n| 10agents,loosegoals,nodiversiﬁcation | 0.3508 |\n| 20agents,loosegoals,nodiversiﬁcation | 0.3328 |\n| 30agents,loosegoals,nodiversiﬁcation | 0.2436 |\n| 10agents,loosegoals,diversiﬁcation | 0.3254 |\n| 20agents,loosegoals,diversiﬁcation | 0.2949 |\n| 30agents,loosegoals,diversiﬁcation | 0.3026 |",1]
["| SyntheticCrowdCharacteristics | Score |\n| --- | --- |\n| 10agents,randompaths | 0.2573 |\n| 20agents,randompaths | 0.2428 |\n| 30agents,randompaths | 0.2423 |\n| 10agents,tightgoals,nodiversiﬁcation | 0.3774 |\n| 20agents,tightgoals,nodiversiﬁcation | 0.2858 |","| 05agents,tightgoals,nodiversiﬁcation | 0.5462 |\n| --- | --- |\n| 10agents,tightgoals,nodiversiﬁcation | 0.4970 |\n| 15agents,tightgoals,nodiversiﬁcation | 0.5001 |\n| 05agents,loosegoals,nodiversiﬁcation | 0.5487 |\n| 10agents,loosegoals,nodiversiﬁcation | 0.5120 |\n| 15agents,loosegoals,nodiversiﬁcation | 0.4619 |\n| 05agents,loosegoals,diversiﬁcation | 0.5372 |\n| 10agents,loosegoals,diversiﬁcation | 0.5210 |\n| 15agents,loosegoals,diversiﬁcation | 0.4901 |",0]
["| Metric | SubspaceDiﬀerence | MaximumMutualCoherence | MeanMutualCoherence |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Method | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP |","| Layer1 | 0.0313 | 0.0315 | 0.0317 | 0.7608 | 0.7727 | 0.7895 | 0.2900 | 0.2725 | 0.2735 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Layer2 | 0.0321 | 0.0321 | 0.0321 | 0.8283 | 0.7603 | 0.7654 | 0.2882 | 0.2820 | 0.2829 |\n| Layer3 | 0.0312 | 0.0315 | 0.0313 | 0.8493 | 0.7233 | 0.7890 | 0.2586 | 0.2506 | 0.2485 |",1]
["| Metric | SubspaceDiﬀerence | MaximumMutualCoherence | MeanMutualCoherence |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Method | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP |","| Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |\n| --- | --- | --- | --- |\n| conv1+pool | 89.01 | 12.95 | 0.02 |\n| ReLU | 52.07 | 0.46 | — |\n| conv2+ReLU | 87.96 | 11.12 | 0.13 |\n| conv3 | 77.46 | 11.85 | 0.13 |\n| conv4 | 83.56 | 5.49 | 0.02 |\n| add | 37.75 | 0.12 | — |\n| ReLU | 36.81 | 0.12 | — |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |\n| fully1 | 30.76 | 0.04 | 0.09 |\n| fully2 | 36.74 | 0.04 | 0.09 |",0]
["| Metric | SubspaceDiﬀerence | MaximumMutualCoherence | MeanMutualCoherence |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Method | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP |\n| Layer1 | 0.0313 | 0.0315 | 0.0317 | 0.7608 | 0.7727 | 0.7895 | 0.2900 | 0.2725 | 0.2735 |","| Layer2 | 0.0321 | 0.0321 | 0.0321 | 0.8283 | 0.7603 | 0.7654 | 0.2882 | 0.2820 | 0.2829 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Layer3 | 0.0312 | 0.0315 | 0.0313 | 0.8493 | 0.7233 | 0.7890 | 0.2586 | 0.2506 | 0.2485 |",1]
["| Metric | SubspaceDiﬀerence | MaximumMutualCoherence | MeanMutualCoherence |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Method | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP | SN | f-MLP | rf-MLP |\n| Layer1 | 0.0313 | 0.0315 | 0.0317 | 0.7608 | 0.7727 | 0.7895 | 0.2900 | 0.2725 | 0.2735 |","| conv6 | 91.72 | 9.35 | 0.51 |\n| --- | --- | --- | --- |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |\n| fully1 | 30.76 | 0.04 | 0.09 |\n| fully2 | 36.74 | 0.04 | 0.09 |",0]
["| Environment | Clients | ElapsedTime(sec.) | ElapsedTime(ratio) |\n| --- | --- | --- | --- |\n| DELLOPTIPLEX | 1 | 107 | 1 |\n| 2 | 62 | 0.58 |  |\n| 3 | 52 | 0.49 |  |","| 4 | 46 | 0.43 |  |\n| --- | --- | --- | --- |\n| Nexus7 | 1 | 768 | 1 |\n| 2 | 413 | 0.54 |  |\n| 3 | 293 | 0.38 |  |\n| 4 | 255 | 0.33 |  |",1]
["| Environment | Clients | ElapsedTime(sec.) | ElapsedTime(ratio) |\n| --- | --- | --- | --- |\n| DELLOPTIPLEX | 1 | 107 | 1 |\n| 2 | 62 | 0.58 |  |\n| 3 | 52 | 0.49 |  |","|  | DELLOPTIPLEX | Nexus7 |\n| --- | --- | --- |\n| Model | DELLOPTIPLEX8010 | Nexus7(2013) |\n| OS | Windows7Professional | Android4.4.4 |\n| CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |\n| RAM | 16GB | 2GB |",0]
["| Environment | Clients | ElapsedTime(sec.) | ElapsedTime(ratio) |\n| --- | --- | --- | --- |\n| DELLOPTIPLEX | 1 | 107 | 1 |\n| 2 | 62 | 0.58 |  |\n| 3 | 52 | 0.49 |  |\n| 4 | 46 | 0.43 |  |\n| Nexus7 | 1 | 768 | 1 |","| 2 | 413 | 0.54 |\n| --- | --- | --- |\n| 3 | 293 | 0.38 |\n| 4 | 255 | 0.33 |",1]
["| Environment | Clients | ElapsedTime(sec.) | ElapsedTime(ratio) |\n| --- | --- | --- | --- |\n| DELLOPTIPLEX | 1 | 107 | 1 |\n| 2 | 62 | 0.58 |  |\n| 3 | 52 | 0.49 |  |\n| 4 | 46 | 0.43 |  |\n| Nexus7 | 1 | 768 | 1 |","| CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |\n| --- | --- | --- |\n| RAM | 16GB | 2GB |",0]
["| Thesourceof<br>featurestatistics | DTW | Histogram |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MCYT<br>SUSIG<br>NYU | 0.27<br>0.15<br>n.a. | 0.06<br>0.32<br>n.a. | 0.082<br>0.3<br>0.28 | 0.78<br>0.47<br>n.a. | 0.37<br>0.68<br>n.a. | 0.33<br>0.59<br>0.71 |\n| Genericassumption | 0.34 | 0.19 | 0.17 | 0.50 | 0.57 | 0.56 |",1]
["| Thesourceof<br>featurestatistics | DTW | Histogram |\n| --- | --- | --- |\n|  |  |  |","| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["| Thesourceof<br>featurestatistics | DTW | Histogram |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","| MCYT<br>SUSIG<br>NYU | 0.27<br>0.15<br>n.a. | 0.06<br>0.32<br>n.a. | 0.082<br>0.3<br>0.28 | 0.78<br>0.47<br>n.a. | 0.37<br>0.68<br>n.a. | 0.33<br>0.59<br>0.71 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Genericassumption | 0.34 | 0.19 | 0.17 | 0.50 | 0.57 | 0.56 |",1]
["| Thesourceof<br>featurestatistics | DTW | Histogram |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.5314 | 0.5006 | 0.3854 |\n| RGB+dist | 0.5908 | 0.6199 | 0.4831 |","| RGB+coord | 0.5813 | 0.5764 | 0.4403 |\n| --- | --- | --- | --- |\n| RGB+dist+coord | 0.6081 | 0.6358 | 0.4948 |",1]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.5314 | 0.5006 | 0.3854 |\n| RGB+dist | 0.5908 | 0.6199 | 0.4831 |","|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.6832 | 0.7018 | 0.5261 |\n| RGB+dist | 0.7228 | 0.7445 | 0.5611 |\n| RGB+coord | 0.7213 | 0.7342 | 0.5507 |\n| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 |",0]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.5314 | 0.5006 | 0.3854 |","| RGB+dist | 0.5908 | 0.6199 | 0.4831 |\n| --- | --- | --- | --- |\n| RGB+coord | 0.5813 | 0.5764 | 0.4403 |\n| RGB+dist+coord | 0.6081 | 0.6358 | 0.4948 |",1]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.5314 | 0.5006 | 0.3854 |","| RGB+coord | 0.7213 | 0.7342 | 0.5507 |\n| --- | --- | --- | --- |\n| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 |",0]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype | #ofControlpoints |\n| --- | --- | --- | --- | --- |\n| PIC-T100 | Manipulatesprogramexecutionﬂow | Counter | II | 17 |","| PIC-T200 | Manipulatesinstructionregister | Counter | II | 41 |\n| --- | --- | --- | --- | --- |\n| b19-T500 | Manipulatesinstructionregister | FSM | II | 193 |\n| RS232-T500 | Manipulatesacontrolsignal | Counter | II | 13 |\n| s35932-T100 | Manipulatesscanmode | Counter | II | 23 |\n| RSA-T400 | Replacesthekeytoleakplaintext | Counter | II | 34 |",1]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype | #ofControlpoints |\n| --- | --- | --- | --- | --- |\n| PIC-T100 | Manipulatesprogramexecutionﬂow | Counter | II | 17 |","| Benchmarks | Trojanpayload | Trojantrigger | Trojantype |\n| --- | --- | --- | --- |\n| AES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T200 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T700 | LeaksthekeythroughcovertCDMAchannel | Speciﬁcplaintext | II |\n| AES-T900 | LeaksthekeythroughcovertCDMAchannel | Counter | II |\n| AES-T1100 | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |\n| AES-T2000 | LeaksthekeythroughPSCofshiftregister | Speciﬁcplaintext | II |\n| AES-T2100 | LeaksthekeythroughPSCofshiftregister | Plaintextsequence(FSM) | II |\n| RSA-T100 | Leaksthekeythroughciphertextoutput | Speciﬁcplaintext | I |\n| RSA-T300 | Leaksthekeythroughciphertextoutput | Counter | I |\n| DES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| PRESENT-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T1100(M) | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |",0]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype | #ofControlpoints |\n| --- | --- | --- | --- | --- |\n| PIC-T100 | Manipulatesprogramexecutionﬂow | Counter | II | 17 |\n| PIC-T200 | Manipulatesinstructionregister | Counter | II | 41 |","| b19-T500 | Manipulatesinstructionregister | FSM | II | 193 |\n| --- | --- | --- | --- | --- |\n| RS232-T500 | Manipulatesacontrolsignal | Counter | II | 13 |\n| s35932-T100 | Manipulatesscanmode | Counter | II | 23 |\n| RSA-T400 | Replacesthekeytoleakplaintext | Counter | II | 34 |",1]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype | #ofControlpoints |\n| --- | --- | --- | --- | --- |\n| PIC-T100 | Manipulatesprogramexecutionﬂow | Counter | II | 17 |\n| PIC-T200 | Manipulatesinstructionregister | Counter | II | 41 |","| PRESENT-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| --- | --- | --- | --- |\n| AES-T1100(M) | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |",0]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| Cathedral | Removedoutliers | 1594 | 652 | 541 | 428 |","| Remaininginliers | 44451 | 45393 | 45504 | 45617 |\n| --- | --- | --- | --- | --- |\n| RMSE(pixels) | 1.1343 | 0.8036 | 0.8075 | 0.8178 |\n| Runtime(seconds) | 2354 | 259 | 76 | 134 |",1]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| Cathedral | Removedoutliers | 1594 | 652 | 541 | 428 |","|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| House | Removedoutliers | 2396 | 862 | 722 | 498 |\n| Remaininginliers | 99936 | 101470 | 101610 | 101834 |  |\n| RMSE(pixels) | 0.9119 | 0.5982 | 0.6007 | 0.6063 |  |\n| Runtime(seconds) | 50878 | 975 | 322 | 477 |  |",0]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| Cathedral | Removedoutliers | 1594 | 652 | 541 | 428 |","| Remaininginliers | 44451 | 45393 | 45504 | 45617 |\n| --- | --- | --- | --- | --- |\n| RMSE(pixels) | 1.1343 | 0.8036 | 0.8075 | 0.8178 |\n| Runtime(seconds) | 2354 | 259 | 76 | 134 |",1]
["|  |  | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |\n| --- | --- | --- | --- | --- | --- |\n| Cathedral | Removedoutliers | 1594 | 652 | 541 | 428 |","| RMSE(pixels) | 0.9119 | 0.5982 | 0.6007 | 0.6063 |\n| --- | --- | --- | --- | --- |\n| Runtime(seconds) | 50878 | 975 | 322 | 477 |",0]
["| Numberof<br>nodes | Compute<br>(PFlop/s) | B-APMCapacity<br>(PB) | B-APMStorageI/O<br>Bandwidth(TB/s) |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.003 | 0.02 |\n| 768 | 1.5 | 2.3 | 15 |\n| 3072 | 6 | 9 | 61 |","| 24576 | 49 | 73 | 491 |\n| --- | --- | --- | --- |\n| 196608 | 393 | 589 | 3932 |",1]
["| Numberof<br>nodes | Compute<br>(PFlop/s) | B-APMCapacity<br>(PB) | B-APMStorageI/O<br>Bandwidth(TB/s) |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.003 | 0.02 |\n| 768 | 1.5 | 2.3 | 15 |\n| 3072 | 6 | 9 | 61 |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Numberof<br>nodes | Compute<br>(PFlop/s) | B-APMCapacity<br>(PB) | B-APMStorageI/O<br>Bandwidth(TB/s) |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.003 | 0.02 |","| 768 | 1.5 | 2.3 | 15 |\n| --- | --- | --- | --- |\n| 3072 | 6 | 9 | 61 |\n| 24576 | 49 | 73 | 491 |\n| 196608 | 393 | 589 | 3932 |",1]
["| Numberof<br>nodes | Compute<br>(PFlop/s) | B-APMCapacity<br>(PB) | B-APMStorageI/O<br>Bandwidth(TB/s) |\n| --- | --- | --- | --- |\n| 1 | 0.002 | 0.003 | 0.02 |","| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| --- | --- | --- | --- |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| n | Totalrunningtime | Breakdownofrunningtime |  |  |\n| --- | --- | --- | --- | --- |\n| MILES | Ourmethod | SDP | RandomSampling | Greedy1-opt |","| 50 | 3.069 | 0.397 | 0.296 | 0.065 | 0.036 |\n| --- | --- | --- | --- | --- | --- |\n| 60 | 28.71 | 0.336 | 0.201 | 0.084 | 0.051 |\n| 70 | 378.2 | 0.402 | 0.249 | 0.094 | 0.058 |\n| 100 | N/A | 0.690 | 0.380 | 0.193 | 0.117 |\n| 500 | N/A | 20.99 | 12.24 | 4.709 | 4.045 |\n| 1000 | N/A | 135.1 | 82.38 | 28.64 | 24.07 |",1]
["| n | Totalrunningtime | Breakdownofrunningtime |  |  |\n| --- | --- | --- | --- | --- |\n| MILES | Ourmethod | SDP | RandomSampling | Greedy1-opt |","| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |\n| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |\n| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |\n| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |\n| 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |\n| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |\n| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 |\n| 8 | 5180 | 3400(1.00) | 2700(0.79) | 2060(0.61) | 2840(0.84) | 59.83 |\n| 9 | 5180 | 5000(1.00) | 2080(0.42) | 1600(0.32) | 900(0.18) | 67.90 |\n| 10 | 5020 | 3400(1.00) | 2040(0.60) | 2840(0.84) | 2420(0.71) | 55.59 |\n| Average | 5058 | 3104(1.00) | 2062(0.83) | 1952(0.93) | 1608(0.56) | 56.95 |",0]
["| n | Totalrunningtime | Breakdownofrunningtime |  |  |\n| --- | --- | --- | --- | --- |\n| MILES | Ourmethod | SDP | RandomSampling | Greedy1-opt |","| 50 | 3.069 | 0.397 | 0.296 | 0.065 | 0.036 |\n| --- | --- | --- | --- | --- | --- |\n| 60 | 28.71 | 0.336 | 0.201 | 0.084 | 0.051 |\n| 70 | 378.2 | 0.402 | 0.249 | 0.094 | 0.058 |\n| 100 | N/A | 0.690 | 0.380 | 0.193 | 0.117 |\n| 500 | N/A | 20.99 | 12.24 | 4.709 | 4.045 |\n| 1000 | N/A | 135.1 | 82.38 | 28.64 | 24.07 |",1]
["| n | Totalrunningtime | Breakdownofrunningtime |  |  |\n| --- | --- | --- | --- | --- |\n| MILES | Ourmethod | SDP | RandomSampling | Greedy1-opt |","| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |\n| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |\n| 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |\n| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |\n| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 |\n| 8 | 5180 | 3400(1.00) | 2700(0.79) | 2060(0.61) | 2840(0.84) | 59.83 |\n| 9 | 5180 | 5000(1.00) | 2080(0.42) | 1600(0.32) | 900(0.18) | 67.90 |\n| 10 | 5020 | 3400(1.00) | 2040(0.60) | 2840(0.84) | 2420(0.71) | 55.59 |\n| Average | 5058 | 3104(1.00) | 2062(0.83) | 1952(0.93) | 1608(0.56) | 56.95 |",0]
["| Range | NT | lnNT | lnlnNT | Rmax | LT | DT | kmax |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alps | 510,466 | 13.14 | 2.58 | 13 | 1,252.6 | 3,229 | 7 |\n| BaeticMnts. | 234,117 | 12.36 | 2.51 | 12 | 821.5 | 2,241 | 7 |\n| Pyrenees | 95,356 | 11.47 | 2.44 | 11 | 461.7 | 1,148 | 6 |\n| ScandinavianMnts. | 1,007,154 | 13.80 | 2.62 | 14 | 2,434.4 | 6,574 | 8 |\n| Himalayas(part) | 582,526 | 13.27 | 2.59 | 12 | 1,635.0 | 4,437 | 7 |\n| SouthernAlps | 436,955 | 12.99 | 2.56 | 13 | 910.6 | 2,300 | 7 |\n| AppalachianMnts. | 965,668 | 13.78 | 2.62 | 14 | 2,158.1 | 6,232 | 7 |\n| Range | NR | lnNR | lnlnNR | DR | LR | (cid:104)m(cid:105)R | R<br>kmax |\n| Alps | 266,540 | 12.49 | 2.53 | 25 | 9.6 | 5.65 | 2,203 |\n| BaeticMts. | 122,709 | 11.72 | 2.46 | 23 | 8.8 | 5.24 | 1,357 |\n| Pyrenees | 50,027 | 10.82 | 2.38 | 21 | 8.7 | 5.15 | 852 |","| ScandinavianMts. | 514,641 | 13.15 | 2.58 | 25 | 9.4 | 5.35 | 4,086 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Himalayas(part) | 304,661 | 12.63 | 2.54 | 23 | 9.1 | 5.50 | 2,286 |\n| SouthernAlps | 227,920 | 12.54 | 2.53 | 24 | 9.6 | 5.63 | 1179 |\n| AppalachianMts. | 488,822 | 13.06 | 2.57 | 26 | 9.3 | 5.72 | 4,072 |",1]
["| Range | NT | lnNT | lnlnNT | Rmax | LT | DT | kmax |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alps | 510,466 | 13.14 | 2.58 | 13 | 1,252.6 | 3,229 | 7 |\n| BaeticMnts. | 234,117 | 12.36 | 2.51 | 12 | 821.5 | 2,241 | 7 |\n| Pyrenees | 95,356 | 11.47 | 2.44 | 11 | 461.7 | 1,148 | 6 |\n| ScandinavianMnts. | 1,007,154 | 13.80 | 2.62 | 14 | 2,434.4 | 6,574 | 8 |\n| Himalayas(part) | 582,526 | 13.27 | 2.59 | 12 | 1,635.0 | 4,437 | 7 |\n| SouthernAlps | 436,955 | 12.99 | 2.56 | 13 | 910.6 | 2,300 | 7 |\n| AppalachianMnts. | 965,668 | 13.78 | 2.62 | 14 | 2,158.1 | 6,232 | 7 |\n| Range | NR | lnNR | lnlnNR | DR | LR | (cid:104)m(cid:105)R | R<br>kmax |\n| Alps | 266,540 | 12.49 | 2.53 | 25 | 9.6 | 5.65 | 2,203 |\n| BaeticMts. | 122,709 | 11.72 | 2.46 | 23 | 8.8 | 5.24 | 1,357 |\n| Pyrenees | 50,027 | 10.82 | 2.38 | 21 | 8.7 | 5.15 | 852 |","| Range | Area(km) | Height(m) | Origin | No.datapts. |\n| --- | --- | --- | --- | --- |\n| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |\n| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |\n| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 |\n| ScandinavianMountains | 243,000 | 2,469 | Non-orogenic | 138,497,654 |\n| Himalayas | 594,400 | 8,848 | Orogenic | 40,295,462 |\n| SouthernAlps | 36,700 | 3,724 | Orogenic | 23,619,193 |\n| AppalachianMountains | 531,000 | 2,037 | Orogenic | 208,854,395 |",0]
["| Range | NT | lnNT | lnlnNT | Rmax | LT | DT | kmax |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alps | 510,466 | 13.14 | 2.58 | 13 | 1,252.6 | 3,229 | 7 |\n| BaeticMnts. | 234,117 | 12.36 | 2.51 | 12 | 821.5 | 2,241 | 7 |\n| Pyrenees | 95,356 | 11.47 | 2.44 | 11 | 461.7 | 1,148 | 6 |\n| ScandinavianMnts. | 1,007,154 | 13.80 | 2.62 | 14 | 2,434.4 | 6,574 | 8 |\n| Himalayas(part) | 582,526 | 13.27 | 2.59 | 12 | 1,635.0 | 4,437 | 7 |\n| SouthernAlps | 436,955 | 12.99 | 2.56 | 13 | 910.6 | 2,300 | 7 |\n| AppalachianMnts. | 965,668 | 13.78 | 2.62 | 14 | 2,158.1 | 6,232 | 7 |\n| Range | NR | lnNR | lnlnNR | DR | LR | (cid:104)m(cid:105)R | R<br>kmax |\n| Alps | 266,540 | 12.49 | 2.53 | 25 | 9.6 | 5.65 | 2,203 |\n| BaeticMts. | 122,709 | 11.72 | 2.46 | 23 | 8.8 | 5.24 | 1,357 |\n| Pyrenees | 50,027 | 10.82 | 2.38 | 21 | 8.7 | 5.15 | 852 |\n| ScandinavianMts. | 514,641 | 13.15 | 2.58 | 25 | 9.4 | 5.35 | 4,086 |\n| Himalayas(part) | 304,661 | 12.63 | 2.54 | 23 | 9.1 | 5.50 | 2,286 |","| SouthernAlps | 227,920 | 12.54 | 2.53 | 24 | 9.6 | 5.63 | 1179 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AppalachianMts. | 488,822 | 13.06 | 2.57 | 26 | 9.3 | 5.72 | 4,072 |",1]
["| Range | NT | lnNT | lnlnNT | Rmax | LT | DT | kmax |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alps | 510,466 | 13.14 | 2.58 | 13 | 1,252.6 | 3,229 | 7 |\n| BaeticMnts. | 234,117 | 12.36 | 2.51 | 12 | 821.5 | 2,241 | 7 |\n| Pyrenees | 95,356 | 11.47 | 2.44 | 11 | 461.7 | 1,148 | 6 |\n| ScandinavianMnts. | 1,007,154 | 13.80 | 2.62 | 14 | 2,434.4 | 6,574 | 8 |\n| Himalayas(part) | 582,526 | 13.27 | 2.59 | 12 | 1,635.0 | 4,437 | 7 |\n| SouthernAlps | 436,955 | 12.99 | 2.56 | 13 | 910.6 | 2,300 | 7 |\n| AppalachianMnts. | 965,668 | 13.78 | 2.62 | 14 | 2,158.1 | 6,232 | 7 |\n| Range | NR | lnNR | lnlnNR | DR | LR | (cid:104)m(cid:105)R | R<br>kmax |\n| Alps | 266,540 | 12.49 | 2.53 | 25 | 9.6 | 5.65 | 2,203 |\n| BaeticMts. | 122,709 | 11.72 | 2.46 | 23 | 8.8 | 5.24 | 1,357 |\n| Pyrenees | 50,027 | 10.82 | 2.38 | 21 | 8.7 | 5.15 | 852 |\n| ScandinavianMts. | 514,641 | 13.15 | 2.58 | 25 | 9.4 | 5.35 | 4,086 |\n| Himalayas(part) | 304,661 | 12.63 | 2.54 | 23 | 9.1 | 5.50 | 2,286 |","| SouthernAlps | 36,700 | 3,724 | Orogenic | 23,619,193 |\n| --- | --- | --- | --- | --- |\n| AppalachianMountains | 531,000 | 2,037 | Orogenic | 208,854,395 |",0]
["|  | Sentence-In-PassageRanking | Sentence-In-PassageRanking,GoldOnly |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pearson | p-value | Spearman | p-value | Pearson | p-value | Spearman | p-value |  |\n| AoAAvg | 0.7155 | 4.21e-20 | 0.7356 | 1.08e-21 | 0.6220 | 1.86e-07 | 0.6482 | 3.77e-08 |\n| AoAStdDev | 0.6779 | 1.80e-17 | 0.7023 | 3.94e-19 | 0.5742 | 2.44e-06 | 0.5825 | 1.61e-06 |","| AoAMax | 0.7408 | 3.94e-22 | 0.7155 | 4.20e-20 | 0.6215 | 1.92e-07 | 0.6127 | 3.19e-07 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Parser | -0.4172 | 2.12e-06 | -0.4465 | 3.17e-07 | -0.5099 | 4.34e-05 | -0.5157 | 3.43e-05 |\n| Reranker | -0.4139 | 2.60e-06 | -0.4450 | 3.53e-07 | -0.4969 | 7.24e-05 | -0.4879 | 0.0001 |",1]
["|  | Sentence-In-PassageRanking | Sentence-In-PassageRanking,GoldOnly |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pearson | p-value | Spearman | p-value | Pearson | p-value | Spearman | p-value |  |\n| AoAAvg | 0.7155 | 4.21e-20 | 0.7356 | 1.08e-21 | 0.6220 | 1.86e-07 | 0.6482 | 3.77e-08 |\n| AoAStdDev | 0.6779 | 1.80e-17 | 0.7023 | 3.94e-19 | 0.5742 | 2.44e-06 | 0.5825 | 1.61e-06 |","|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 |\n| Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 |\n| Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 |\n| Skip-gram-2 | 0.269 | 0.433 | 0.206 | 0.437 | 0.197 | 0.411 | 0.228 | 0.537 | 0.445 | 0.620 |\n| Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 |\n| BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 |\n| BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |",0]
["|  | Sentence-In-PassageRanking | Sentence-In-PassageRanking,GoldOnly |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pearson | p-value | Spearman | p-value | Pearson | p-value | Spearman | p-value |  |\n| AoAAvg | 0.7155 | 4.21e-20 | 0.7356 | 1.08e-21 | 0.6220 | 1.86e-07 | 0.6482 | 3.77e-08 |","| AoAStdDev | 0.6779 | 1.80e-17 | 0.7023 | 3.94e-19 | 0.5742 | 2.44e-06 | 0.5825 | 1.61e-06 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AoAMax | 0.7408 | 3.94e-22 | 0.7155 | 4.20e-20 | 0.6215 | 1.92e-07 | 0.6127 | 3.19e-07 |\n| Parser | -0.4172 | 2.12e-06 | -0.4465 | 3.17e-07 | -0.5099 | 4.34e-05 | -0.5157 | 3.43e-05 |\n| Reranker | -0.4139 | 2.60e-06 | -0.4450 | 3.53e-07 | -0.4969 | 7.24e-05 | -0.4879 | 0.0001 |",1]
["|  | Sentence-In-PassageRanking | Sentence-In-PassageRanking,GoldOnly |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pearson | p-value | Spearman | p-value | Pearson | p-value | Spearman | p-value |  |\n| AoAAvg | 0.7155 | 4.21e-20 | 0.7356 | 1.08e-21 | 0.6220 | 1.86e-07 | 0.6482 | 3.77e-08 |","| Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 |\n| BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |",0]
["| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |","| Pf | 23dBm | TransmitpowerofF-AP |\n| --- | --- | --- |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",1]
["| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |","| Parameters | Values |\n| --- | --- |\n| NumberofBSs | 40 |\n| NumberofWAPs | 30 |\n| Meantimeofasuccessfultransmission | 5µs |\n| Meantimeofacollision | 1µs |\n| Meantimeofidlechannel | 3µs |\n| Numberofchannels | 10 |\n| RTS | 20bytes |\n| CTS | 14bytes |\n| DIFS | 34µs |\n| SIFS | 16µs |\n| NumberofWUs | 150 |\n| TransmitpoweroftheWAPs | 0.5W |\n| TransmitpoweroftheBSs | 1W |",0]
["| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |","| λf | −5<br>3×10 | IntensityofF-APs |\n| --- | --- | --- |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",1]
["| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |","| TransmitpoweroftheWAPs | 0.5W |\n| --- | --- |\n| TransmitpoweroftheBSs | 1W |",0]
["| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |","| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |\n| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |\n| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |\n| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |\n| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |\n| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",1]
["| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |","| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |\n| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |\n| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |\n| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |\n| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |\n| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |\n| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |","| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| --- | --- | --- | --- | --- | --- |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",1]
["| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |\n| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |\n| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |\n| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |\n| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |\n| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |\n| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |","| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| OriginalIngredient | AlternativeIngredient | P(Japanese) | P(French) | #ofreplacement |\n| --- | --- | --- | --- | --- |\n| - | - | 0.974 | 0.000 | 0 |\n| Mirin | Calvados | 0.552 | 0.009 | 1 |\n| Vegetableoil | Oliveoil | 0.393 | 0.031 | 2 |","| Soysauce | Bouquetgarni | 0.011 | 0.976 | 3 |\n| --- | --- | --- | --- | --- |\n| Greenonions | Freshtarragon | 0.000 | 0.997 | 4 |\n| Egg | Meltedbutter | 0.000 | 0.999 | 5 |",1]
["| OriginalIngredient | AlternativeIngredient | P(Japanese) | P(French) | #ofreplacement |\n| --- | --- | --- | --- | --- |\n| - | - | 0.974 | 0.000 | 0 |\n| Mirin | Calvados | 0.552 | 0.009 | 1 |\n| Vegetableoil | Oliveoil | 0.393 | 0.031 | 2 |","|  | French | Japanese | Italian | Mexican |\n| --- | --- | --- | --- | --- |\n| Top1 | Cognac | Mirin | Gratedparmesancheese | Corntortillas |\n| Top2 | Calvados | Dashi | pecorinoromanocheese | Salsa |\n| Top3 | Thymesprings | Nori | prosciutto | Tortillachips |\n| Top4 | Gruyerecheese | Wasabipaste | marinarasauce | Guacamole |\n| Top5 | Nicoiseolives | Bonitoﬂakes | Sweetitaliansausage | Poblanopeppers |",0]
["| OriginalIngredient | AlternativeIngredient | P(Japanese) | P(French) | #ofreplacement |\n| --- | --- | --- | --- | --- |\n| - | - | 0.974 | 0.000 | 0 |\n| Mirin | Calvados | 0.552 | 0.009 | 1 |\n| Vegetableoil | Oliveoil | 0.393 | 0.031 | 2 |\n| Soysauce | Bouquetgarni | 0.011 | 0.976 | 3 |","| Greenonions | Freshtarragon | 0.000 | 0.997 | 4 |\n| --- | --- | --- | --- | --- |\n| Egg | Meltedbutter | 0.000 | 0.999 | 5 |",1]
["| OriginalIngredient | AlternativeIngredient | P(Japanese) | P(French) | #ofreplacement |\n| --- | --- | --- | --- | --- |\n| - | - | 0.974 | 0.000 | 0 |\n| Mirin | Calvados | 0.552 | 0.009 | 1 |\n| Vegetableoil | Oliveoil | 0.393 | 0.031 | 2 |\n| Soysauce | Bouquetgarni | 0.011 | 0.976 | 3 |","| Top2 | Calvados | Dashi | pecorinoromanocheese | Salsa |\n| --- | --- | --- | --- | --- |\n| Top3 | Thymesprings | Nori | prosciutto | Tortillachips |\n| Top4 | Gruyerecheese | Wasabipaste | marinarasauce | Guacamole |\n| Top5 | Nicoiseolives | Bonitoﬂakes | Sweetitaliansausage | Poblanopeppers |",0]
["| Signals | Description |\n| --- | --- |\n| clk | Thisistheglobalclocksignal |\n| resetn | Activelowsystemreset |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |","| bo[7:0] | EnhancedBluecolorcomponent |\n| --- | --- |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",1]
["| Signals | Description |\n| --- | --- |\n| clk | Thisistheglobalclocksignal |\n| resetn | Activelowsystemreset |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |","| IndicatorBits | Description |\n| --- | --- |\n| 0000 | ControlPacket |\n| 0001 | CommonDataPacket |\n| 0010 | ChannelControlPacket |\n| 1001 | AcknowledgementtoCommondataPacket |\n| 1010 | AcknowledgementtoChannelControlPacket |",0]
["| Signals | Description |\n| --- | --- |\n| clk | Thisistheglobalclocksignal |\n| resetn | Activelowsystemreset |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |","| bo[7:0] | EnhancedBluecolorcomponent |\n| --- | --- |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",1]
["| Signals | Description |\n| --- | --- |\n| clk | Thisistheglobalclocksignal |\n| resetn | Activelowsystemreset |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |","| 1001 | AcknowledgementtoCommondataPacket |\n| --- | --- |\n| 1010 | AcknowledgementtoChannelControlPacket |",0]
["| GroupActivityClass | #Instances |\n| --- | --- |\n| Rightset | 644 |\n| Rightspike | 623 |\n| Rightpass | 801 |\n| Rightwinpoint | 295 |","| Leftwinpoint | 367 |\n| --- | --- |\n| Leftpass | 826 |\n| Leftspike | 642 |\n| Leftset | 633 |",1]
["| GroupActivityClass | #Instances |\n| --- | --- |\n| Rightset | 644 |\n| Rightspike | 623 |\n| Rightpass | 801 |\n| Rightwinpoint | 295 |","| Activity<br>Type | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 7 | 0 | 0 | 0 | 0 |\n| 2 | 0 | 7 | 0 | 0 | 0 |\n| 3 | 0 | 0 | 8 | 0 | 0 |\n| 4 | 0 | 0 | 0 | 9 | 0 |\n| 5 | 0 | 0 | 0 | 0 | 8 |",0]
["| GroupActivityClass | #Instances |\n| --- | --- |\n| Rightset | 644 |\n| Rightspike | 623 |\n| Rightpass | 801 |","| Rightwinpoint | 295 |\n| --- | --- |\n| Leftwinpoint | 367 |\n| Leftpass | 826 |\n| Leftspike | 642 |\n| Leftset | 633 |",1]
["| GroupActivityClass | #Instances |\n| --- | --- |\n| Rightset | 644 |\n| Rightspike | 623 |\n| Rightpass | 801 |","| 3 | 0 | 0 | 8 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 0 | 0 | 0 | 9 | 0 |\n| 5 | 0 | 0 | 0 | 0 | 8 |",0]
["| EnsembleAllocation |\n| --- |\n| connsrtt=ecbsrtt |","| connrttvar=ecbrttvar |\n| --- |\n| connsndcwnd=ecbsndcwnd/refcnt |\n| connsndssthresh=ecbsndssthresh/refcnt |",1]
["| EnsembleAllocation |\n| --- |\n| connsrtt=ecbsrtt |","| Name | Description |\n| --- | --- |\n| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |\n| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |\n| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |\n| IR-l2r | IR-basedmethodwithfourteen<br>diﬀerentfeaturesandlearned<br>bylearningtorank |\n| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |",0]
["| EnsembleAllocation |\n| --- |\n| connsrtt=ecbsrtt |","| connrttvar=ecbrttvar |\n| --- |\n| connsndcwnd=ecbsndcwnd/refcnt |\n| connsndssthresh=ecbsndssthresh/refcnt |",1]
["| EnsembleAllocation |\n| --- |\n| connsrtt=ecbsrtt |","| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |\n| --- | --- |\n| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |\n| IR-l2r | IR-basedmethodwithfourteen<br>diﬀerentfeaturesandlearned<br>bylearningtorank |\n| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |",0]
["|  | D | PCConvalidationset |\n| --- | --- | --- |\n| RI | 50 | 0.7904 |\n| 300 | 0.8091 |  |","| WI | 50 | 0.7974 |\n| --- | --- | --- |\n| 300 | 0.8174 |  |",1]
["|  | D | PCConvalidationset |\n| --- | --- | --- |\n| RI | 50 | 0.7904 |\n| 300 | 0.8091 |  |","| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.335 | 0.334 | 0.03 | 0.05 |\n| CosLMI | 0.638 | 0.663 | 0.293 | 0.34 |\n| CosPPMI | 0.672 | 0.675 | 0.441 | 0.446 |\n| CosSVD-Freq300 | 0.35 | 0.363 | -0.013 | 0.001 |\n| CosSVD-LMI300 | 0.604 | 0.626 | 0.222 | 0.286 |\n| CosSVD-PPMI300 | 0.72 | 0.725 | 0.444 | 0.486 |\n| APSynLMI-1000 | 0.609 | 0.609 | 0.317 | 0.36 |\n| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |\n| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |\n| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |\n| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |\n| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 |",0]
["|  | D | PCConvalidationset |\n| --- | --- | --- |\n| RI | 50 | 0.7904 |\n| 300 | 0.8091 |  |","| WI | 50 | 0.7974 |\n| --- | --- | --- |\n| 300 | 0.8174 |  |",1]
["|  | D | PCConvalidationset |\n| --- | --- | --- |\n| RI | 50 | 0.7904 |\n| 300 | 0.8091 |  |","| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |\n| --- | --- | --- | --- | --- |\n| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |\n| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |\n| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |\n| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 |",0]
["| Inspec<br>F@5F@1011 | Krapivin<br>F@5F@1011 | NUS<br>F@5F@1011 | SemEval<br>F@5F@1011 |\n| --- | --- | --- | --- |\n| 0.2210.313 | 0.1290.160 | 0.1360.184 | 0.1280.194 |\n| 0.2230.281 | 0.1890.162 | 0.1950.196 | 0.1760.187 |\n| 0.2140.306 | 0.1890.162 | 0.1400.173 | 0.1350.176 |\n| 0.2100.304 | 0.0810.126 | 0.1320.164 | 0.1390.170 |","| 0.0400.042 | 0.2490.216 | 0.2490.268 | 0.0440.039 |\n| --- | --- | --- | --- |\n| 0.0980.126 | 0.1100.152 | 0.0690.084 | 0.0250.026 |\n| 0.0850.064 | 0.1350.088 | 0.1690.127 | 0.1570.124 |\n| 0.2780.342 | 0.3110.266 | 0.3340.326 | 0.2930.304 |",1]
["| Inspec<br>F@5F@1011 | Krapivin<br>F@5F@1011 | NUS<br>F@5F@1011 | SemEval<br>F@5F@1011 |\n| --- | --- | --- | --- |\n| 0.2210.313 | 0.1290.160 | 0.1360.184 | 0.1280.194 |\n| 0.2230.281 | 0.1890.162 | 0.1950.196 | 0.1760.187 |\n| 0.2140.306 | 0.1890.162 | 0.1400.173 | 0.1350.176 |\n| 0.2100.304 | 0.0810.126 | 0.1320.164 | 0.1390.170 |","| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| Inspec<br>F@5F@1011 | Krapivin<br>F@5F@1011 | NUS<br>F@5F@1011 | SemEval<br>F@5F@1011 |\n| --- | --- | --- | --- |\n| 0.2210.313 | 0.1290.160 | 0.1360.184 | 0.1280.194 |\n| 0.2230.281 | 0.1890.162 | 0.1950.196 | 0.1760.187 |","| 0.2140.306 | 0.1890.162 | 0.1400.173 | 0.1350.176 |\n| --- | --- | --- | --- |\n| 0.2100.304 | 0.0810.126 | 0.1320.164 | 0.1390.170 |\n| 0.0400.042 | 0.2490.216 | 0.2490.268 | 0.0440.039 |\n| 0.0980.126 | 0.1100.152 | 0.0690.084 | 0.0250.026 |\n| 0.0850.064 | 0.1350.088 | 0.1690.127 | 0.1570.124 |\n| 0.2780.342 | 0.3110.266 | 0.3340.326 | 0.2930.304 |",1]
["| Inspec<br>F@5F@1011 | Krapivin<br>F@5F@1011 | NUS<br>F@5F@1011 | SemEval<br>F@5F@1011 |\n| --- | --- | --- | --- |\n| 0.2210.313 | 0.1290.160 | 0.1360.184 | 0.1280.194 |\n| 0.2230.281 | 0.1890.162 | 0.1950.196 | 0.1760.187 |","| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| Webgraph | Positiveedges | Negativeedges | Classimbalance |\n| --- | --- | --- | --- |\n| webND | 133,279 | 95,939million | 1:719,835 |\n| webSB | 756,937 | 466,034million | 1:615,684 |","| webGL | 494,982 | 741,978million | 1:1,498,999 |\n| --- | --- | --- | --- |\n| erd˝os | 1,543,090 | 2,970,460million | 1:1,925,007 |\n| hudong | 1,446,760 | 3,786,991million | 1:2,617,566 |\n| baidu | 1,701,330 | 4,370,982million | 1:2,569,155 |",1]
["| Webgraph | Positiveedges | Negativeedges | Classimbalance |\n| --- | --- | --- | --- |\n| webND | 133,279 | 95,939million | 1:719,835 |\n| webSB | 756,937 | 466,034million | 1:615,684 |","| Network | Vertices | Edges | τ | IMQueries | kmax |\n| --- | --- | --- | --- | --- | --- |\n| wiki-Vote | 7K | 104K | 10 | 212 | 50 |\n| Flixster | 99K | 978K | 10 | 223 | 100 |\n| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |\n| ﬂickr-growth | 2.3M | 33M | 10 | 779 | 200 |\n| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 |",0]
["| Webgraph | Positiveedges | Negativeedges | Classimbalance |\n| --- | --- | --- | --- |\n| webND | 133,279 | 95,939million | 1:719,835 |\n| webSB | 756,937 | 466,034million | 1:615,684 |\n| webGL | 494,982 | 741,978million | 1:1,498,999 |","| erd˝os | 1,543,090 | 2,970,460million | 1:1,925,007 |\n| --- | --- | --- | --- |\n| hudong | 1,446,760 | 3,786,991million | 1:2,617,566 |\n| baidu | 1,701,330 | 4,370,982million | 1:2,569,155 |",1]
["| Webgraph | Positiveedges | Negativeedges | Classimbalance |\n| --- | --- | --- | --- |\n| webND | 133,279 | 95,939million | 1:719,835 |\n| webSB | 756,937 | 466,034million | 1:615,684 |\n| webGL | 494,982 | 741,978million | 1:1,498,999 |","| ﬂickr-growth | 2.3M | 33M | 10 | 779 | 200 |\n| --- | --- | --- | --- | --- | --- |\n| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 |",0]
["| Phase | Train | Validation | Test |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |\n| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |","| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",1]
["| Phase | Train | Validation | Test |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |\n| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |","|  | Train | Validation | Test |\n| --- | --- | --- | --- |\n| PA | 70,875 | 10,078 | 20,426 |\n| AP | 168,525 | 24,566 | 47,689 |\n| Lateral | 81,379 | 11,519 | 23,125 |\n| Total | 320,779 | 46,163 | 91,240 |",0]
["| Phase | Train | Validation | Test |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |\n| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |\n| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |","| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",1]
["| Phase | Train | Validation | Test |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |\n| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |\n| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |","| Lateral | 81,379 | 11,519 | 23,125 |\n| --- | --- | --- | --- |\n| Total | 320,779 | 46,163 | 91,240 |",0]
["| BatchSize | LRrulewarmupEpochstestaccuracy |\n| --- | --- |\n| 512 | regularN/A1000.583 |\n| 4096 | LARS13epochs1000.584 |","| 8192 | LARS8epochs1000.583 |\n| --- | --- |\n| 32768 | LARS5epochs1000.585 |",1]
["| BatchSize | LRrulewarmupEpochstestaccuracy |\n| --- | --- |\n| 512 | regularN/A1000.583 |\n| 4096 | LARS13epochs1000.584 |","| Model | ρ×100 |\n| --- | --- |\n| HLBL | 33.2 |\n| C&W | 55.3 |\n| Skip-gram-300d | 70.4 |\n| Huangetal-G | 22.8 |\n| Huangetal-M | 64.2 |\n| MSSG50d-G | 60.6 |\n| MSSG50d-M | 63.2 |\n| MSSG300d-G | 69.2 |\n| MSSG300d-M | 70.9 |\n| NP-MSSG50d-G | 61.5 |\n| NP-MSSG50d-M | 62.4 |\n| NP-MSSG300d-G | 69.1 |\n| NP-MSSG300d-M | 68.6 |\n| PrunedTF-IDF | 73.4 |\n| ESA | 75 |\n| TieredTF-IDF | 76.9 |",0]
["| BatchSize | LRrulewarmupEpochstestaccuracy |\n| --- | --- |\n| 512 | regularN/A1000.583 |","| 4096 | LARS13epochs1000.584 |\n| --- | --- |\n| 8192 | LARS8epochs1000.583 |\n| 32768 | LARS5epochs1000.585 |",1]
["| BatchSize | LRrulewarmupEpochstestaccuracy |\n| --- | --- |\n| 512 | regularN/A1000.583 |","| PrunedTF-IDF | 73.4 |\n| --- | --- |\n| ESA | 75 |\n| TieredTF-IDF | 76.9 |",0]
["| Method | Precision | Recall | F-score |\n| --- | --- | --- | --- |\n| HUSTMCLAB | 47.5 | 34.8 | 40.2 |\n| NJUText | 72.7 | 35.8 | 48.0 |\n| StradVision-2 | 77.5 | 36.7 | 49.8 |","| MCLABFCN | 70.8 | 43.0 | 53.6 |\n| --- | --- | --- | --- |\n| CTPN | 51.6 | 74.2 | 60.9 |\n| Megcii-Image++ | 72.4 | 57.0 | 63.8 |\n| Yaoetal. | 72.3 | 58.7 | 64.8 |\n| Seglink | 73.1 | 76.8 | 75.0 |\n| ArbiText | 79.2 | 73.5 | 75.9 |",1]
["| Method | Precision | Recall | F-score |\n| --- | --- | --- | --- |\n| HUSTMCLAB | 47.5 | 34.8 | 40.2 |\n| NJUText | 72.7 | 35.8 | 48.0 |\n| StradVision-2 | 77.5 | 36.7 | 49.8 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |\n| Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |\n| Liuetal. | 0.73 | 0.68 | 0.71 |\n| Tianetal. | 0.74 | 0.52 | 0.61 |\n| Zhangetal. | 0.71 | 0.43 | 0.54 |\n| StradVision2 | 0.77 | 0.37 | 0.50 |\n| StradVision1 | 0.53 | 0.46 | 0.50 |\n| NJU-Text | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |",0]
["| Method | Precision | Recall | F-score |\n| --- | --- | --- | --- |\n| HUSTMCLAB | 47.5 | 34.8 | 40.2 |\n| NJUText | 72.7 | 35.8 | 48.0 |\n| StradVision-2 | 77.5 | 36.7 | 49.8 |\n| MCLABFCN | 70.8 | 43.0 | 53.6 |\n| CTPN | 51.6 | 74.2 | 60.9 |","| Megcii-Image++ | 72.4 | 57.0 | 63.8 |\n| --- | --- | --- | --- |\n| Yaoetal. | 72.3 | 58.7 | 64.8 |\n| Seglink | 73.1 | 76.8 | 75.0 |\n| ArbiText | 79.2 | 73.5 | 75.9 |",1]
["| Method | Precision | Recall | F-score |\n| --- | --- | --- | --- |\n| HUSTMCLAB | 47.5 | 34.8 | 40.2 |\n| NJUText | 72.7 | 35.8 | 48.0 |\n| StradVision-2 | 77.5 | 36.7 | 49.8 |\n| MCLABFCN | 70.8 | 43.0 | 53.6 |\n| CTPN | 51.6 | 74.2 | 60.9 |","| Liuetal. | 0.73 | 0.68 | 0.71 |\n| --- | --- | --- | --- |\n| Tianetal. | 0.74 | 0.52 | 0.61 |\n| Zhangetal. | 0.71 | 0.43 | 0.54 |\n| StradVision2 | 0.77 | 0.37 | 0.50 |\n| StradVision1 | 0.53 | 0.46 | 0.50 |\n| NJU-Text | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |",0]
["| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |\n| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 |\n| B.Bicycle | 5581 | 2.72 | 6.37 | 3.47 | 30.06 |","| C.Auto.Driver | 18484 | 2.29 | 39.90 | 13.06 | 1331.84 |\n| --- | --- | --- | --- | --- | --- |\n| D.PublicTrans. | 6944 | 1.97 | 27.98 | 16.34 | 2875.92 |\n| Auto.Passenger | 7658 | 2.00 | 24.32 | 17.69 | 2949.11 |",1]
["| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |\n| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 |\n| B.Bicycle | 5581 | 2.72 | 6.37 | 3.47 | 30.06 |","| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 850 | 1400 | 1400 | 400 |\n| Min | 54s | 77s | 33s | 56s |\n| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |\n| Avg | 149s | 204s | 214s | 83s |\n| Var | 2,331 | 6,737 | 10,723 | 293 |\n| SD | 48 | 82 | 104 | 17 |\n| 75thperc. | 191s | 274s | 302s | 97s |\n| 95thperc. | 222s | 332s | 378s | 110s |",0]
["| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |\n| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 |","| B.Bicycle | 5581 | 2.72 | 6.37 | 3.47 | 30.06 |\n| --- | --- | --- | --- | --- | --- |\n| C.Auto.Driver | 18484 | 2.29 | 39.90 | 13.06 | 1331.84 |\n| D.PublicTrans. | 6944 | 1.97 | 27.98 | 16.34 | 2875.92 |\n| Auto.Passenger | 7658 | 2.00 | 24.32 | 17.69 | 2949.11 |",1]
["| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |\n| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 |","| Var | 2,331 | 6,737 | 10,723 | 293 |\n| --- | --- | --- | --- | --- |\n| SD | 48 | 82 | 104 | 17 |\n| 75thperc. | 191s | 274s | 302s | 97s |\n| 95thperc. | 222s | 332s | 378s | 110s |",0]
["| Dataset | LocalCovariances | CrossCovariances |  |\n| --- | --- | --- | --- |\n| S:Fact0 | SS:343900 | SS:150004 | SS:314203 |","| S:Fou1 | SS:70811 | SS:79614 | SS:187710 |\n| --- | --- | --- | --- |\n| S:Kar2 | SS:68422 | SS:89621 | SS:130120 |\n| S:Mor-Pix3 | SS:418633 | SS:144532 | SS:208131 |\n| S:Zer4 | SS:52844 | SS:154343 | SS:74942 |",1]
["| Dataset | LocalCovariances | CrossCovariances |  |\n| --- | --- | --- | --- |\n| S:Fact0 | SS:343900 | SS:150004 | SS:314203 |","| Dataset | Site1 | Site2 | Site3 | Site4 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time |  |\n| Mfeat-Fac | 100 | 0.1365 | 100 | 0.256 | 100 | 0.143 | - | - |\n| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |\n| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 |",0]
["| Dataset | LocalCovariances | CrossCovariances |  |\n| --- | --- | --- | --- |\n| S:Fact0 | SS:343900 | SS:150004 | SS:314203 |\n| S:Fou1 | SS:70811 | SS:79614 | SS:187710 |","| S:Kar2 | SS:68422 | SS:89621 | SS:130120 |\n| --- | --- | --- | --- |\n| S:Mor-Pix3 | SS:418633 | SS:144532 | SS:208131 |\n| S:Zer4 | SS:52844 | SS:154343 | SS:74942 |",1]
["| Dataset | LocalCovariances | CrossCovariances |  |\n| --- | --- | --- | --- |\n| S:Fact0 | SS:343900 | SS:150004 | SS:314203 |\n| S:Fou1 | SS:70811 | SS:79614 | SS:187710 |","| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 |",0]
["| Category | rs | p |\n| --- | --- | --- |\n| Style | 0.6115095 | 2.2e-16 |\n| Design | 0.51948 | 2.2e-16 |","| Fun | 0.2729658 | 3.745e-5 |\n| --- | --- | --- |\n| Frustration | -0.4393904 | 6.79e-12 |\n| Challenge | -0.387222 | 2.351e-09 |\n| Creativity | -0.1559725 | 0.02007 |",1]
["| Category | rs | p |\n| --- | --- | --- |\n| Style | 0.6115095 | 2.2e-16 |\n| Design | 0.51948 | 2.2e-16 |","| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |\n| --- | --- | --- | --- |\n| Sports | 64 | 0.972 | 1.93×10 |\n| Animals | 108 | 0.982 | 3.14×10 |\n| Clothes | 88 | 0.882 | 1.71×10 |\n| Food | 107 | 0.979 | 2.56×10 |\n| Furniture | 38 | 0.942 | 5.52×10 |\n| Music | 16 | 0.983 | 1.30×10 |\n| Plants | 33 | 0.954 | 2.36×10 |\n| Structures | 17 | 0.973 | 8.33×10 |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",0]
["| Category | rs | p |\n| --- | --- | --- |\n| Style | 0.6115095 | 2.2e-16 |\n| Design | 0.51948 | 2.2e-16 |","| Fun | 0.2729658 | 3.745e-5 |\n| --- | --- | --- |\n| Frustration | -0.4393904 | 6.79e-12 |\n| Challenge | -0.387222 | 2.351e-09 |\n| Creativity | -0.1559725 | 0.02007 |",1]
["| Category | rs | p |\n| --- | --- | --- |\n| Style | 0.6115095 | 2.2e-16 |\n| Design | 0.51948 | 2.2e-16 |","| Clothes | 88 | 0.882 | 1.71×10 |\n| --- | --- | --- | --- |\n| Food | 107 | 0.979 | 2.56×10 |\n| Furniture | 38 | 0.942 | 5.52×10 |\n| Music | 16 | 0.983 | 1.30×10 |\n| Plants | 33 | 0.954 | 2.36×10 |\n| Structures | 17 | 0.973 | 8.33×10 |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",0]
["| Metric | Value |\n| --- | --- |\n| MeanAverageError(MAE) | 0.9108 |","| CorrelationCoeﬃcient | 0.3051 |\n| --- | --- |\n| AverageBinaryAccuracy | 0.6094 |\n| AverageWeightedBinaryAccuracy | 0.6108 |\n| AverageF1Score | 0.6325 |\n| Average5-ClassAccuracy | 0.3320 |\n| Average7-ClassAccuracy | 0.3296 |",1]
["| Metric | Value |\n| --- | --- |\n| MeanAverageError(MAE) | 0.9108 |","| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |\n| --- | --- | --- | --- | --- | --- |\n| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |\n| Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |\n| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",0]
["| Metric | Value |\n| --- | --- |\n| MeanAverageError(MAE) | 0.9108 |\n| CorrelationCoeﬃcient | 0.3051 |\n| AverageBinaryAccuracy | 0.6094 |","| AverageWeightedBinaryAccuracy | 0.6108 |\n| --- | --- |\n| AverageF1Score | 0.6325 |\n| Average5-ClassAccuracy | 0.3320 |\n| Average7-ClassAccuracy | 0.3296 |",1]
["| Metric | Value |\n| --- | --- |\n| MeanAverageError(MAE) | 0.9108 |\n| CorrelationCoeﬃcient | 0.3051 |\n| AverageBinaryAccuracy | 0.6094 |","| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| --- | --- | --- | --- | --- | --- |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",0]
["|  | Buy | AAExist | AANew |\n| --- | --- | --- | --- |\n| SessionEntries | 147.02 | 14.13 | 80.33 |\n| Observations | 5.64 | 2.06 | 3.33 |\n| CRADLEExplanations | 8.74 | 1.00 | 1.33 |\n| PHATTExplanations | 18.32 | 1.00 | 2.00 |","| CRADLETime(seconds) | 0.06 | 0.01 | 0.01 |\n| --- | --- | --- | --- |\n| PHATTTime(seconds) | 0.07 | 0.01 | 0.03 |",1]
["|  | Buy | AAExist | AANew |\n| --- | --- | --- | --- |\n| SessionEntries | 147.02 | 14.13 | 80.33 |\n| Observations | 5.64 | 2.06 | 3.33 |\n| CRADLEExplanations | 8.74 | 1.00 | 1.33 |\n| PHATTExplanations | 18.32 | 1.00 | 2.00 |","| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 129 | 32 |\n| with12-hourobservationbaseline2 | 129 | 245 |\n| with12-hourobservationSP | 129 | 110 |\n| Model | Realpurchases | Predictedpurchases |\n| with12-hourobservationbaseline1 | 75 | 28 |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",0]
["|  | Buy | AAExist | AANew |\n| --- | --- | --- | --- |\n| SessionEntries | 147.02 | 14.13 | 80.33 |\n| Observations | 5.64 | 2.06 | 3.33 |","| CRADLEExplanations | 8.74 | 1.00 | 1.33 |\n| --- | --- | --- | --- |\n| PHATTExplanations | 18.32 | 1.00 | 2.00 |\n| CRADLETime(seconds) | 0.06 | 0.01 | 0.01 |\n| PHATTTime(seconds) | 0.07 | 0.01 | 0.03 |",1]
["|  | Buy | AAExist | AANew |\n| --- | --- | --- | --- |\n| SessionEntries | 147.02 | 14.13 | 80.33 |\n| Observations | 5.64 | 2.06 | 3.33 |","| with12-hourobservationSP | 129 | 110 |\n| --- | --- | --- |\n| Model | Realpurchases | Predictedpurchases |\n| with12-hourobservationbaseline1 | 75 | 28 |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["|  |  | AAAcc. | WHAcc. | Diﬀ. |\n| --- | --- | --- | --- | --- |\n| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 |","| IBMWatson | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 62.8<br>91.9<br>96.4<br>98.0 | 77.9<br>95.7<br>99.0<br>99.6 | 15.1<br>3.8<br>2.6<br>1.6 |\n| --- | --- | --- | --- | --- |\n| MicrosoftAzure | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 87.6<br>98.5<br>99.6<br>99.5 | 94.2<br>99.6<br>99.9<br>99.9 | 6.6<br>1.1<br>0.3<br>0.4 |\n| Twitter | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 54.0<br>87.5<br>95.7<br>98.5 | 73.7<br>91.5<br>96.0<br>95.1 | 19.7<br>4.0<br>0.3<br>-3.0 |",1]
["|  |  | AAAcc. | WHAcc. | Diﬀ. |\n| --- | --- | --- | --- | --- |\n| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 |","| Index | σ0<br>Hp-valueCI2 | Index |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 |",0]
["|  |  | AAAcc. | WHAcc. | Diﬀ. |\n| --- | --- | --- | --- | --- |\n| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 |\n| IBMWatson | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 62.8<br>91.9<br>96.4<br>98.0 | 77.9<br>95.7<br>99.0<br>99.6 | 15.1<br>3.8<br>2.6<br>1.6 |","| MicrosoftAzure | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 87.6<br>98.5<br>99.6<br>99.5 | 94.2<br>99.6<br>99.9<br>99.9 | 6.6<br>1.1<br>0.3<br>0.4 |\n| --- | --- | --- | --- | --- |\n| Twitter | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 54.0<br>87.5<br>95.7<br>98.5 | 73.7<br>91.5<br>96.0<br>95.1 | 19.7<br>4.0<br>0.3<br>-3.0 |",1]
["|  |  | AAAcc. | WHAcc. | Diﬀ. |\n| --- | --- | --- | --- | --- |\n| langid.py | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 68.0<br>84.6<br>93.0<br>96.2 | 70.8<br>91.6<br>98.0<br>99.8 | 2.8<br>7.0<br>5.0<br>3.6 |\n| IBMWatson | t≤5<br>5<t≤10<br>10<t≤15<br>t>15 | 62.8<br>91.9<br>96.4<br>98.0 | 77.9<br>95.7<br>99.0<br>99.6 | 15.1<br>3.8<br>2.6<br>1.6 |","| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 |",0]
["| Parameter | Userquin-tile |  |  |\n| --- | --- | --- | --- |\n|  | Q1 | Q2 | Q3 |\n| α | 0.634 | 1.0145 | 0.448 |\n| β | 0.865 | 0.0 | 1.141 |\n| θ | 0.129 | -0.730 | -0.020 |","| w1 | 0.00215 | 0.0 | 0.00006 |\n| --- | --- | --- | --- |\n| w2 | 0.00038 | 0.00030 | 0.0 |\n| w3 | 0.00836 | -0.00135 | -300.0 |\n| C | 8546 | 754 | -9 |\n| RMSE | 52800 | 406 | 334 |",1]
["| Parameter | Userquin-tile |  |  |\n| --- | --- | --- | --- |\n|  | Q1 | Q2 | Q3 |\n| α | 0.634 | 1.0145 | 0.448 |\n| β | 0.865 | 0.0 | 1.141 |\n| θ | 0.129 | -0.730 | -0.020 |","| \\|Ω\\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |\n| 0.02 | 180 | 180.96 | 210 | 217.24 | 400 | 338.10 | 344 |\n| 0.03 | 165 | 170.66 | 192 | 197.58 | 400 | 336.50 | 307 |\n| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |\n| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |\n| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |\n| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 |",0]
["| Parameter | Userquin-tile |  |  |\n| --- | --- | --- | --- |\n|  | Q1 | Q2 | Q3 |\n| α | 0.634 | 1.0145 | 0.448 |\n| β | 0.865 | 0.0 | 1.141 |","| θ | 0.129 | -0.730 | -0.020 |\n| --- | --- | --- | --- |\n| w1 | 0.00215 | 0.0 | 0.00006 |\n| w2 | 0.00038 | 0.00030 | 0.0 |\n| w3 | 0.00836 | -0.00135 | -300.0 |\n| C | 8546 | 754 | -9 |\n| RMSE | 52800 | 406 | 334 |",1]
["| Parameter | Userquin-tile |  |  |\n| --- | --- | --- | --- |\n|  | Q1 | Q2 | Q3 |\n| α | 0.634 | 1.0145 | 0.448 |\n| β | 0.865 | 0.0 | 1.141 |","| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |\n| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |\n| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 |",0]
["| Type | \\|V\\| |\n| --- | --- |\n| Directed | 18,268,992 |","| Undirected | 59,216,214 |\n| --- | --- |\n| Weighted | 23,947,347 |\n| Chain | 10,000,000 |",1]
["| Type | \\|V\\| |\n| --- | --- |\n| Directed | 18,268,992 |","| Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Time(s) | Nodes | NodesinPath | Time(s) | Bound |  |  |  |\n| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |\n| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",0]
["| Type | \\|V\\| |\n| --- | --- |\n| Directed | 18,268,992 |","| Undirected | 59,216,214 |\n| --- | --- |\n| Weighted | 23,947,347 |\n| Chain | 10,000,000 |",1]
["| Type | \\|V\\| |\n| --- | --- |\n| Directed | 18,268,992 |","| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",0]
["| 1(1-max) | 5 | 10 | 15 |\n| --- | --- | --- | --- |\n| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |\n| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |\n| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |","| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |\n| --- | --- | --- | --- |\n| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |\n| 64.77(64.38,65.20) | 64.54(64.0365.02) | 63.87(63.5864.37) | 63.44(63.0363.76) |\n| 67.33(66.80,67.82) | 66.81(66.2467.25) | 66.98(66.4167.85) | 67.00(66.0467.90) |",1]
["| 1(1-max) | 5 | 10 | 15 |\n| --- | --- | --- | --- |\n| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |\n| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |\n| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |","| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| --- | --- | --- | --- |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |\n| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |\n| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |\n| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |\n| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |",0]
["| 1(1-max) | 5 | 10 | 15 |\n| --- | --- | --- | --- |\n| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |\n| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |","| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |\n| --- | --- | --- | --- |\n| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |\n| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |\n| 64.77(64.38,65.20) | 64.54(64.0365.02) | 63.87(63.5864.37) | 63.44(63.0363.76) |\n| 67.33(66.80,67.82) | 66.81(66.2467.25) | 66.98(66.4167.85) | 67.00(66.0467.90) |",1]
["| 1(1-max) | 5 | 10 | 15 |\n| --- | --- | --- | --- |\n| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |\n| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |","| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |\n| --- | --- | --- | --- |\n| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |\n| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |\n| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |",0]
["| Phase1 | Coordinates | Error1 | HMM | 71,3 |\n| --- | --- | --- | --- | --- |\n| DTW | 40,6 |  |  |  |\n| Error2 | HMM | 70,1 |  |  |\n| DTW | 28,9 |  |  |  |\n| Angles | Error1 | HMM | 78,1 |  |","| DTW | 13,1 |  |  |  |\n| --- | --- | --- | --- | --- |\n| Error2 | HMM | 64,7 |  |  |\n| DTW | 10,4 |  |  |  |\n| Phase2 | Coordinates | Error1 | HMM | 65,5 |\n| DTW | 35,0 |  |  |  |\n| Error2 | HMM | 62,0 |  |  |\n| DTW | 26,0 |  |  |  |\n| Angles | Error1 | HMM | 81,3 |  |\n| DTW | 13,0 |  |  |  |\n| Error2 | HMM | 64,7 |  |  |\n| DTW | 47,9 |  |  |  |",1]
["| Phase1 | Coordinates | Error1 | HMM | 71,3 |\n| --- | --- | --- | --- | --- |\n| DTW | 40,6 |  |  |  |\n| Error2 | HMM | 70,1 |  |  |\n| DTW | 28,9 |  |  |  |\n| Angles | Error1 | HMM | 78,1 |  |","| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |\n| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |\n| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |\n| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",0]
["| Phase1 | Coordinates | Error1 | HMM | 71,3 |\n| --- | --- | --- | --- | --- |\n| DTW | 40,6 |  |  |  |\n| Error2 | HMM | 70,1 |  |  |\n| DTW | 28,9 |  |  |  |\n| Angles | Error1 | HMM | 78,1 |  |\n| DTW | 13,1 |  |  |  |\n| Error2 | HMM | 64,7 |  |  |\n| DTW | 10,4 |  |  |  |\n| Phase2 | Coordinates | Error1 | HMM | 65,5 |\n| DTW | 35,0 |  |  |  |\n| Error2 | HMM | 62,0 |  |  |","| DTW | 26,0 |  |  |\n| --- | --- | --- | --- |\n| Angles | Error1 | HMM | 81,3 |\n| DTW | 13,0 |  |  |\n| Error2 | HMM | 64,7 |  |\n| DTW | 47,9 |  |  |",1]
["| Phase1 | Coordinates | Error1 | HMM | 71,3 |\n| --- | --- | --- | --- | --- |\n| DTW | 40,6 |  |  |  |\n| Error2 | HMM | 70,1 |  |  |\n| DTW | 28,9 |  |  |  |\n| Angles | Error1 | HMM | 78,1 |  |\n| DTW | 13,1 |  |  |  |\n| Error2 | HMM | 64,7 |  |  |\n| DTW | 10,4 |  |  |  |\n| Phase2 | Coordinates | Error1 | HMM | 65,5 |\n| DTW | 35,0 |  |  |  |\n| Error2 | HMM | 62,0 |  |  |","| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |\n| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",0]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- |","| 27.44 | 43.01 | 50.82 |\n| --- | --- | --- |\n| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |\n| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 |",1]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- |","| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |\n| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- |","| 27.44 | 43.01 | 50.82 |\n| --- | --- | --- |\n| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |\n| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 |",1]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- |","| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| --- | --- | --- |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| K | dc | (d+1)/Kc | d/Kc | α(from)d |\n| --- | --- | --- | --- | --- |\n| 2 | 2 | 1.5 | 1 | 1 |\n| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |","| 6 | 182 | 30.5 | 30.33 | 30.5 |\n| --- | --- | --- | --- | --- |\n| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",1]
["| K | dc | (d+1)/Kc | d/Kc | α(from)d |\n| --- | --- | --- | --- | --- |\n| 2 | 2 | 1.5 | 1 | 1 |\n| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |","| K | αd | αf | αs | αo | αM |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1.5 | − | 1.5 | − | 2.8 |\n| 3 | 4.16 | − | 4.55 | − | 5.83 |\n| 4 | 8.4 | − | 10.15 | − | 11.56 |\n| 5 | 16.2 | 20.3 | 21.26 | 20.7 | 22.8 |\n| 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |\n| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |\n| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 |",0]
["| K | dc | (d+1)/Kc | d/Kc | α(from)d |\n| --- | --- | --- | --- | --- |\n| 2 | 2 | 1.5 | 1 | 1 |\n| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |","| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| --- | --- | --- | --- | --- |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",1]
["| K | dc | (d+1)/Kc | d/Kc | α(from)d |\n| --- | --- | --- | --- | --- |\n| 2 | 2 | 1.5 | 1 | 1 |\n| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |","| 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |\n| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 |",0]
["| ContextPRF |\n| --- |\n| both96.496.296.3 |\n| bi-character94.994.694.8 |","| uni-character95.895.895.8 |\n| --- |\n| oracle-combined97.497.397.4 |",1]
["| ContextPRF |\n| --- |\n| both96.496.296.3 |\n| bi-character94.994.694.8 |","| BranchesofA | BranchesofB | BranchesofC |\n| --- | --- | --- |\n| *Flatten |  |  |\n| FC-64 | FC-256 | FC-512 |\n| FC-cA1 | FC-256 | FC-512 |\n|  | FC-cB1 | FC-cC1 |\n|  | **Flatten |  |\n|  | FC-512 | FC-1024 |\n|  | FC-512 | FC-1024 |\n|  | FC-cB2 | FC-cC2 |",0]
["| ContextPRF |\n| --- |\n| both96.496.296.3 |","| bi-character94.994.694.8 |\n| --- |\n| uni-character95.895.895.8 |\n| oracle-combined97.497.397.4 |",1]
["| ContextPRF |\n| --- |\n| both96.496.296.3 |","| FC-64 | FC-256 | FC-512 |\n| --- | --- | --- |\n| FC-cA1 | FC-256 | FC-512 |\n|  | FC-cB1 | FC-cC1 |\n|  | **Flatten |  |\n|  | FC-512 | FC-1024 |\n|  | FC-512 | FC-1024 |\n|  | FC-cB2 | FC-cC2 |",0]
["| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |\n| --- | --- | --- | --- | --- |\n| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |\n| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |","| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |\n| --- | --- | --- | --- | --- |\n| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |\n| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 |",1]
["| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |\n| --- | --- | --- | --- | --- |\n| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |\n| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |","| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",0]
["| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |\n| --- | --- | --- | --- | --- |\n| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |","| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |\n| --- | --- | --- | --- | --- |\n| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |\n| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |\n| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 |",1]
["| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |\n| --- | --- | --- | --- | --- |\n| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |","| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",0]
["| operation | Latticesize |  |\n| --- | --- | --- |\n|  |  |  |\n| +,-,*,/ | 0.0011 | 0.0046 |","| cos,sin | 0.0540 | 0.0650 |\n| --- | --- | --- |\n| log,exp | 0.0609 | 0.1100 |",1]
["| operation | Latticesize |  |\n| --- | --- | --- |\n|  |  |  |\n| +,-,*,/ | 0.0011 | 0.0046 |","| N | exp | s,i1 | s,i2 | s,s,i | f,i |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1 | 0.4 | 2 | 7 | 9 |\n| 128 | 5 | 0.7 | 3 | 30 | 39 |\n| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",0]
["| operation | Latticesize |  |\n| --- | --- | --- |\n|  |  |  |\n| +,-,*,/ | 0.0011 | 0.0046 |","| cos,sin | 0.0540 | 0.0650 |\n| --- | --- | --- |\n| log,exp | 0.0609 | 0.1100 |",1]
["| operation | Latticesize |  |\n| --- | --- | --- |\n|  |  |  |\n| +,-,*,/ | 0.0011 | 0.0046 |","| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| --- | --- | --- | --- | --- | --- |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",0]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |","| 2.56.79.7714 |\n| --- |\n| 0.00.41.21348 |\n| 0.10.71.11103 |\n| 1.25.79.5360 |\n| 1.45.78.9278 |\n| 10.429.340.017 |",1]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |","| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |\n| 22.248.261.44.8 |\n| 18.440.250.910 |\n| 23.050.762.95 |\n| 26.652.063.75 |",0]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |\n| 2.56.79.7714 |\n| 0.00.41.21348 |\n| 0.10.71.11103 |","| 1.25.79.5360 |\n| --- |\n| 1.45.78.9278 |\n| 10.429.340.017 |",1]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |\n| 2.56.79.7714 |\n| 0.00.41.21348 |\n| 0.10.71.11103 |","| 22.248.261.44.8 |\n| --- |\n| 18.440.250.910 |\n| 23.050.762.95 |\n| 26.652.063.75 |",0]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |","| intratuples | 512 | 1600 | 467 |\n| --- | --- | --- | --- |\n| intertuples | 261632 | 158400 | 624 |\n| items/tuples | 4 | 5 | 4 |",1]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |","| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |\n| intratuple | 512 | 1600 | 467 |\n| intertuple | 261632 | 158400 | 624 |\n| items/tuples | 4 | 5 | 4 |",0]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |\n| intratuples | 512 | 1600 | 467 |","| intertuples | 261632 | 158400 | 624 |\n| --- | --- | --- | --- |\n| items/tuples | 4 | 5 | 4 |",1]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |\n| intratuples | 512 | 1600 | 467 |","| intertuple | 261632 | 158400 | 624 |\n| --- | --- | --- | --- |\n| items/tuples | 4 | 5 | 4 |",0]
["| Predictor | AdjustedR | p−value |\n| --- | --- | --- |\n| AvgTweet-rate | 0.79 | 8.39e-09 |","| AvgTweet-rate+thcnt | 0.83 | 7.93e-09 |\n| --- | --- | --- |\n| AvgTweet-rate+PNratio | 0.92 | 4.31e-12 |\n| Tweet-ratetimeseries | 0.84 | 4.18e-06 |\n| Tweet-ratetimeseries+thcnt | 0.863 | 3.64e-06 |\n| Tweet-ratetimeseries+PNratio | 0.94 | 1.84e-08 |",1]
["| Predictor | AdjustedR | p−value |\n| --- | --- | --- |\n| AvgTweet-rate | 0.79 | 8.39e-09 |","| Datasets | TWEETS | GN | YELP |\n| --- | --- | --- | --- |\n| #ofmsg | 12.7M | 2.2M | 1.6M |\n| Vocabularysize | 1.7M | 208K | 85K |\n| Avg.#ofmsgkeywords | 9 | 7 | 37 |\n| SizeinGB | 2.26 | 0.3 | 1.04 |",0]
["| Predictor | AdjustedR | p−value |\n| --- | --- | --- |\n| AvgTweet-rate | 0.79 | 8.39e-09 |\n| AvgTweet-rate+thcnt | 0.83 | 7.93e-09 |\n| AvgTweet-rate+PNratio | 0.92 | 4.31e-12 |\n| Tweet-ratetimeseries | 0.84 | 4.18e-06 |","| Tweet-ratetimeseries+thcnt | 0.863 | 3.64e-06 |\n| --- | --- | --- |\n| Tweet-ratetimeseries+PNratio | 0.94 | 1.84e-08 |",1]
["| Predictor | AdjustedR | p−value |\n| --- | --- | --- |\n| AvgTweet-rate | 0.79 | 8.39e-09 |\n| AvgTweet-rate+thcnt | 0.83 | 7.93e-09 |\n| AvgTweet-rate+PNratio | 0.92 | 4.31e-12 |\n| Tweet-ratetimeseries | 0.84 | 4.18e-06 |","| Avg.#ofmsgkeywords | 9 | 7 | 37 |\n| --- | --- | --- | --- |\n| SizeinGB | 2.26 | 0.3 | 1.04 |",0]
["| Codec | Time(s) |\n| --- | --- |\n| JPEG | 0.39 |\n| JPEG2000 | 0.59 |\n| Balle’sworkwithCPU | 7.39 |","| ProposeCAEwithCPU | 2.29 |\n| --- | --- |\n| ProposeCAEwithGPU | 0.67 |",1]
["| Codec | Time(s) |\n| --- | --- |\n| JPEG | 0.39 |\n| JPEG2000 | 0.59 |\n| Balle’sworkwithCPU | 7.39 |","| Teamname | meanAP |\n| --- | --- |\n| CUVideo(Ours) | 67.82 |\n| ITLabVID-Inha | 51.50 |\n| UIUC-IFP | 48.72 |\n| Trimps-Soushen | 46.12 |\n| 1-HKUST | 42.11 |\n| HiVision | 37.52 |\n| RUCBDAI | 35.97 |",0]
["| Codec | Time(s) |\n| --- | --- |\n| JPEG | 0.39 |\n| JPEG2000 | 0.59 |","| Balle’sworkwithCPU | 7.39 |\n| --- | --- |\n| ProposeCAEwithCPU | 2.29 |\n| ProposeCAEwithGPU | 0.67 |",1]
["| Codec | Time(s) |\n| --- | --- |\n| JPEG | 0.39 |\n| JPEG2000 | 0.59 |","| HiVision | 37.52 |\n| --- | --- |\n| RUCBDAI | 35.97 |",0]
["| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |\n| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |\n| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |\n| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |","| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |\n| --- | --- | --- | --- | --- | --- |\n| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 |",1]
["| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |\n| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |\n| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |\n| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |","| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |\n| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |","| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |\n| --- | --- | --- | --- | --- | --- |\n| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |\n| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |\n| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |\n| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 |",1]
["| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |","| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| --- | --- | --- | --- | --- |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| Networkconﬁguration | Trainepochtime,sec |\n| --- | --- |\n| 4inceptionlayers,kernel=2,32ﬁlters | 158.69 |","| 8convolutionallayers,kernel=2,32ﬁlters | 88 |\n| --- | --- |\n| 4convolutionallayers,kernel=2,32ﬁlters | 64 |\n| 4convolutionallayers+3LSTMlayers,kernel=2,32ﬁlters | 214 |\n| 2convolutionallayers,kernel=2,32ﬁlters | 51 |\n| 3LSTMlayerswithstate=256 | 2350 |",1]
["| Networkconﬁguration | Trainepochtime,sec |\n| --- | --- |\n| 4inceptionlayers,kernel=2,32ﬁlters | 158.69 |","| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(32featuremaps) | 29 |\n| Convlayer(32featuremaps) | 755 |\n| ActivationLayer | 113 |\n| AveragePoolingLayer | 15 |\n| Convlayer(64featuremaps) | 249 |\n| Convlayer(64featuremaps) | 314 |\n| ActivationLayer | 127 |\n| Convlayer(128featuremaps) | 418 |\n| Convlayer(128featuremaps) | 405 |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",0]
["| Networkconﬁguration | Trainepochtime,sec |\n| --- | --- |\n| 4inceptionlayers,kernel=2,32ﬁlters | 158.69 |\n| 8convolutionallayers,kernel=2,32ﬁlters | 88 |\n| 4convolutionallayers,kernel=2,32ﬁlters | 64 |\n| 4convolutionallayers+3LSTMlayers,kernel=2,32ﬁlters | 214 |","| 2convolutionallayers,kernel=2,32ﬁlters | 51 |\n| --- | --- |\n| 3LSTMlayerswithstate=256 | 2350 |",1]
["| Networkconﬁguration | Trainepochtime,sec |\n| --- | --- |\n| 4inceptionlayers,kernel=2,32ﬁlters | 158.69 |\n| 8convolutionallayers,kernel=2,32ﬁlters | 88 |\n| 4convolutionallayers,kernel=2,32ﬁlters | 64 |\n| 4convolutionallayers+3LSTMlayers,kernel=2,32ﬁlters | 214 |","| ActivationLayer | 127 |\n| --- | --- |\n| Convlayer(128featuremaps) | 418 |\n| Convlayer(128featuremaps) | 405 |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",0]
["| ObservationTimes |  |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 0.00.00.00.0<br>0.52.04.06.0<br>1.04.08.012.0<br>1.56.012.018.0<br>2.08.016.024.0<br>2.510.020.030.0 |\n| k∆ | ∆4∆8∆12∆ |","| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 4.04.04.04.0<br>4.56.08.010.0<br>5.08.012.016.0<br>5.510.016.022.0<br>6.012.020.028.0<br>6.514.024.034.0 |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 8.08.08.08.0<br>8.510.012.014.0<br>9.012.016.020.0<br>9.514.020.026.0<br>10.016.024.032.0<br>10.518.028.038.0 |",1]
["| ObservationTimes |  |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 0.00.00.00.0<br>0.52.04.06.0<br>1.04.08.012.0<br>1.56.012.018.0<br>2.08.016.024.0<br>2.510.020.030.0 |\n| k∆ | ∆4∆8∆12∆ |","| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k | l | \\|e\\| | \\|e\\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |\n| 5 | 5 | 50 | 9.98 | 7.35 | 0.53 | 0.42 | 0.0097 | 0.00087 |\n| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |\n| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |\n| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",0]
["| ObservationTimes |  |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 0.00.00.00.0<br>0.52.04.06.0<br>1.04.08.012.0<br>1.56.012.018.0<br>2.08.016.024.0<br>2.510.020.030.0 |\n| k∆ | ∆4∆8∆12∆ |","| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 4.04.04.04.0<br>4.56.08.010.0<br>5.08.012.016.0<br>5.510.016.022.0<br>6.012.020.028.0<br>6.514.024.034.0 |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 8.08.08.08.0<br>8.510.012.014.0<br>9.012.016.020.0<br>9.514.020.026.0<br>10.016.024.032.0<br>10.518.028.038.0 |",1]
["| ObservationTimes |  |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 0.00.00.00.0<br>0.52.04.06.0<br>1.04.08.012.0<br>1.56.012.018.0<br>2.08.016.024.0<br>2.510.020.030.0 |\n| k∆ | ∆4∆8∆12∆ |","| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |\n| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",0]
["| Strategy | uniform | sampling |\n| --- | --- | --- |\n| Sequential | 9.298 | 8.306 |","| Random | 8.297 | 7.159 |\n| --- | --- | --- |\n| DSDM | 3.330 | 3.223 |\n| EMDM | 3.309 | 3.065 |",1]
["| Strategy | uniform | sampling |\n| --- | --- | --- |\n| Sequential | 9.298 | 8.306 |","| Sampling | Pointsn. | Accuracy |\n| --- | --- | --- |\n| 1s | 13345 | 0.9732 |\n| 10s | 1352 | 0.9415 |\n| 30s | 462 | 0.9545 |\n| 90s | 165 | 0.9939 |\n| 120s | 129 | 0.9689 |",0]
["| Strategy | uniform | sampling |\n| --- | --- | --- |\n| Sequential | 9.298 | 8.306 |\n| Random | 8.297 | 7.159 |","| DSDM | 3.330 | 3.223 |\n| --- | --- | --- |\n| EMDM | 3.309 | 3.065 |",1]
["| Strategy | uniform | sampling |\n| --- | --- | --- |\n| Sequential | 9.298 | 8.306 |\n| Random | 8.297 | 7.159 |","| 90s | 165 | 0.9939 |\n| --- | --- | --- |\n| 120s | 129 | 0.9689 |",0]
["| 1234567 |\n| --- |\n| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |","| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| --- |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",1]
["| 1234567 |\n| --- |\n| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |","| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |\n| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| 1234567 |\n| --- |\n| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |","| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| --- |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",1]
["| 1234567 |\n| --- |\n| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |","| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| --- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| ConnectionistTemporalClassiﬁcation(CTC) |\n| --- |\n| FullyConnected(1770) |\n| ...<br>3xBidirectionalRecurrent(1770)<br>... |","| 1-DConvolution(1770,window11,stride1) |\n| --- |\n| Max-Pooling(20ms/frame) |\n| WaveformConvolutionorSpectrogram(161) |\n| Waveform |",1]
["| ConnectionistTemporalClassiﬁcation(CTC) |\n| --- |\n| FullyConnected(1770) |\n| ...<br>3xBidirectionalRecurrent(1770)<br>... |","| Input32×32RGBimage |\n| --- |\n| 5×5conv.64RELU<br>2×2max-poolingstride2 |\n| 5×5conv.128RELU<br>2×2max-poolingstride2 |\n| 3×3conv.256RELU<br>2×2avg-poolingstride2 |\n| 4×4conv.512Sigmoid(fullyconnected)<br>0.5Dropout |\n| 1×1conv.10(fullyconnected) |\n| 10-waysoftmax |",0]
["| ConnectionistTemporalClassiﬁcation(CTC) |\n| --- |\n| FullyConnected(1770) |\n| ...<br>3xBidirectionalRecurrent(1770)<br>... |\n| 1-DConvolution(1770,window11,stride1) |","| Max-Pooling(20ms/frame) |\n| --- |\n| WaveformConvolutionorSpectrogram(161) |\n| Waveform |",1]
["| ConnectionistTemporalClassiﬁcation(CTC) |\n| --- |\n| FullyConnected(1770) |\n| ...<br>3xBidirectionalRecurrent(1770)<br>... |\n| 1-DConvolution(1770,window11,stride1) |","| 1×1conv.10(fullyconnected) |\n| --- |\n| 10-waysoftmax |",0]
["| Block | Participant | Bivariate-dimension |\n| --- | --- | --- |\n| 1 | P1,P6,P11,P16 | LL,LL,LC,LT,LCLyyyx |\n| 2 | P2,P7,P12,P17 | LL,LC,LCL,LL,LTyyyx |\n| 3 | P3,P8,P13,P18 | LC,LCL,LCT,LL,LLyyyx |","| 4 | P4,P9,P14,P19 | LT,LL,LL,LCL,LCyxyy |\n| --- | --- | --- |\n| 5 | P5,P10,P15,P20 | LCL,LT,LL,LC,LLyxyy |",1]
["| Block | Participant | Bivariate-dimension |\n| --- | --- | --- |\n| 1 | P1,P6,P11,P16 | LL,LL,LC,LT,LCLyyyx |\n| 2 | P2,P7,P12,P17 | LL,LC,LCL,LL,LTyyyx |\n| 3 | P3,P8,P13,P18 | LC,LCL,LCT,LL,LLyyyx |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |\n| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |\n| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |\n| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |\n| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",0]
["| Block | Participant | Bivariate-dimension |\n| --- | --- | --- |\n| 1 | P1,P6,P11,P16 | LL,LL,LC,LT,LCLyyyx |\n| 2 | P2,P7,P12,P17 | LL,LC,LCL,LL,LTyyyx |","| 3 | P3,P8,P13,P18 | LC,LCL,LCT,LL,LLyyyx |\n| --- | --- | --- |\n| 4 | P4,P9,P14,P19 | LT,LL,LL,LCL,LCyxyy |\n| 5 | P5,P10,P15,P20 | LCL,LT,LL,LC,LLyxyy |",1]
["| Block | Participant | Bivariate-dimension |\n| --- | --- | --- |\n| 1 | P1,P6,P11,P16 | LL,LL,LC,LT,LCLyyyx |\n| 2 | P2,P7,P12,P17 | LL,LC,LCL,LL,LTyyyx |","| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |\n| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",0]
["| n/V | ... | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ... |\n| 2 | ... | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | ... |\n| 3 | ... | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | ... |","| 4 | ... | 0 | 1 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | ... | 1 | 0 | 4 | 0 | 6 | 0 | 4 | 0 | 1 | ... |",1]
["| n/V | ... | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ... |\n| 2 | ... | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | ... |\n| 3 | ... | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | ... |","| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |\n| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| n/V | ... | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ... |\n| 2 | ... | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | ... |\n| 3 | ... | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | ... |","| 4 | ... | 0 | 1 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | ... | 1 | 0 | 4 | 0 | 6 | 0 | 4 | 0 | 1 | ... |",1]
["| n/V | ... | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ... |\n| 2 | ... | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | ... |\n| 3 | ... | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | ... |","| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| OcclusionLocation | MeanFeature<br>SignChange<br>Layer5 | MeanFeature<br>SignChange<br>Layer7 |\n| --- | --- | --- |\n| RightEye | 0.067±0.007 | 0.069±0.015 |\n| LeftEye | 0.069±0.007 | 0.068±0.013 |","| Nose | 0.079±0.017 | 0.069±0.011 |\n| --- | --- | --- |\n| Random | 0.107±0.017 | 0.073±0.014 |",1]
["| OcclusionLocation | MeanFeature<br>SignChange<br>Layer5 | MeanFeature<br>SignChange<br>Layer7 |\n| --- | --- | --- |\n| RightEye | 0.067±0.007 | 0.069±0.015 |\n| LeftEye | 0.069±0.007 | 0.068±0.013 |","| Conv.Layers | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| st<br>1 | 0.66 | 0.68 | 0.69 |\n| 2 | 0.71 | 0.74 | 0.76 |\n| 3 | 0.74 | 0.75 | 0.79 |\n| 4 | 0.74 | 0.76 | 0.79 |\n| 5 | 0.73 | 0.74 | 0.77 |\n| All | 0.75 | 0.77 | 0.81 |",0]
["| OcclusionLocation | MeanFeature<br>SignChange<br>Layer5 | MeanFeature<br>SignChange<br>Layer7 |\n| --- | --- | --- |\n| RightEye | 0.067±0.007 | 0.069±0.015 |\n| LeftEye | 0.069±0.007 | 0.068±0.013 |","| Nose | 0.079±0.017 | 0.069±0.011 |\n| --- | --- | --- |\n| Random | 0.107±0.017 | 0.073±0.014 |",1]
["| OcclusionLocation | MeanFeature<br>SignChange<br>Layer5 | MeanFeature<br>SignChange<br>Layer7 |\n| --- | --- | --- |\n| RightEye | 0.067±0.007 | 0.069±0.015 |\n| LeftEye | 0.069±0.007 | 0.068±0.013 |","| 3 | 0.74 | 0.75 | 0.79 |\n| --- | --- | --- | --- |\n| 4 | 0.74 | 0.76 | 0.79 |\n| 5 | 0.73 | 0.74 | 0.77 |\n| All | 0.75 | 0.77 | 0.81 |",0]
["| GT | DetectedBox<br>BSLAGLAGCL | TruePositive<br>BSLAGLAGCL | Recall<br>BSLAGLAGCL |\n| --- | --- | --- | --- |\n| 180 | 734687620 | 138162190 | 0.460.580.66 |\n| 146 | 394342390 | 369320366 | 0.990.991.00 |\n| 153 | 743544546 | 205218228 | 0.550.640.72 |\n| 123 | 595616501 | 221232242 | 0.760.800.87 |","| 85 | 291262278 | 106116148 | 0.650.690.79 |\n| --- | --- | --- | --- |\n| 79 | 296293295 | 162828 | 0.190.320.32 |\n| 120 | 558535526 | 175189210 | 0.760.800.82 |\n| 98 | 394359347 | 7980106 | 0.450.460.49 |\n| 984 | 393536173498 | 130913451518 | 0.660.680.73 |",1]
["| GT | DetectedBox<br>BSLAGLAGCL | TruePositive<br>BSLAGLAGCL | Recall<br>BSLAGLAGCL |\n| --- | --- | --- | --- |\n| 180 | 734687620 | 138162190 | 0.460.580.66 |\n| 146 | 394342390 | 369320366 | 0.990.991.00 |\n| 153 | 743544546 | 205218228 | 0.550.640.72 |\n| 123 | 595616501 | 221232242 | 0.760.800.87 |","| Accuracy | Precision | Recall |\n| --- | --- | --- |\n| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |\n| 51.15 | - | - |\n| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |\n| 70.8 | 0.718 | 0.612 |",0]
["| GT | DetectedBox<br>BSLAGLAGCL | TruePositive<br>BSLAGLAGCL | Recall<br>BSLAGLAGCL |\n| --- | --- | --- | --- |\n| 180 | 734687620 | 138162190 | 0.460.580.66 |\n| 146 | 394342390 | 369320366 | 0.990.991.00 |\n| 153 | 743544546 | 205218228 | 0.550.640.72 |\n| 123 | 595616501 | 221232242 | 0.760.800.87 |\n| 85 | 291262278 | 106116148 | 0.650.690.79 |","| 79 | 296293295 | 162828 | 0.190.320.32 |\n| --- | --- | --- | --- |\n| 120 | 558535526 | 175189210 | 0.760.800.82 |\n| 98 | 394359347 | 7980106 | 0.450.460.49 |\n| 984 | 393536173498 | 130913451518 | 0.660.680.73 |",1]
["| GT | DetectedBox<br>BSLAGLAGCL | TruePositive<br>BSLAGLAGCL | Recall<br>BSLAGLAGCL |\n| --- | --- | --- | --- |\n| 180 | 734687620 | 138162190 | 0.460.580.66 |\n| 146 | 394342390 | 369320366 | 0.990.991.00 |\n| 153 | 743544546 | 205218228 | 0.550.640.72 |\n| 123 | 595616501 | 221232242 | 0.760.800.87 |\n| 85 | 291262278 | 106116148 | 0.650.690.79 |","| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |\n| --- | --- | --- |\n| 70.8 | 0.718 | 0.612 |",0]
["| m | u | bias | variance |  |\n| --- | --- | --- | --- | --- |\n| analysis | simulation |  |  |  |\n| 50 | 1950 | 0.00005 | 0.0200 | 0.0217 |\n| 100 | 1900 | 0.0189 | 0.0100 | 0.0104 |","| 500 | 1500 | 0.0011 | 0.0020 | 0.0023 |\n| --- | --- | --- | --- | --- |\n| 1000 | 1000 | 0.00001 | 0.0010 | 0.0009 |\n| 1500 | 500 | 0.0107 | 0.0007 | 0.0006 |",1]
["| m | u | bias | variance |  |\n| --- | --- | --- | --- | --- |\n| analysis | simulation |  |  |  |\n| 50 | 1950 | 0.00005 | 0.0200 | 0.0217 |\n| 100 | 1900 | 0.0189 | 0.0100 | 0.0104 |","| Period | Mean(·) | Median(·) | Variance(·) | MAX(·) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LB | UB | LB | UB | LB | UB | LB | UB |  |\n| I | 30.2 | 67.8 | 4 | 45 | 1498.1 | 4094.3 | 225 | 432 |\n| II | 48.6 | 100.8 | 42 | 93 | 1195.1 | 6298.3 | 306 | 621 |\n| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 |\n| IV | 1.9 | 23.8 | 1 | 23 | 26.32 | 92.7 | 40 | 65 |\n| V | 33.4 | 127.9 | 8 | 105 | 1132.7 | 7465.2 | 266 | 605 |",0]
["| m | u | bias | variance |  |\n| --- | --- | --- | --- | --- |\n| analysis | simulation |  |  |  |\n| 50 | 1950 | 0.00005 | 0.0200 | 0.0217 |\n| 100 | 1900 | 0.0189 | 0.0100 | 0.0104 |\n| 500 | 1500 | 0.0011 | 0.0020 | 0.0023 |","| 1000 | 1000 | 0.00001 | 0.0010 | 0.0009 |\n| --- | --- | --- | --- | --- |\n| 1500 | 500 | 0.0107 | 0.0007 | 0.0006 |",1]
["| m | u | bias | variance |  |\n| --- | --- | --- | --- | --- |\n| analysis | simulation |  |  |  |\n| 50 | 1950 | 0.00005 | 0.0200 | 0.0217 |\n| 100 | 1900 | 0.0189 | 0.0100 | 0.0104 |\n| 500 | 1500 | 0.0011 | 0.0020 | 0.0023 |","| III | 11.1 | 33.0 | 2 | 29 | 223.6 | 270.8 | 64 | 100 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| IV | 1.9 | 23.8 | 1 | 23 | 26.32 | 92.7 | 40 | 65 |\n| V | 33.4 | 127.9 | 8 | 105 | 1132.7 | 7465.2 | 266 | 605 |",0]
["| Object | Upperbound | Mean | StandardDeviation |\n| --- | --- | --- | --- |\n| Drum | 3.31 | 1.36 | 0.14 |\n| Plane | 3.50 | 2.00 | 0.42 |\n| Piano | 3.34 | 1.67 | 0.26 |\n| Speedboat | 2.69 | 1.71 | 0.33 |","| Guitar | 2.14 | 1.37 | 0.20 |\n| --- | --- | --- | --- |\n| Dog | 5.41 | 1.58 | 0.31 |\n| All | 4.68 | 2.83 | 0.61 |",1]
["| Object | Upperbound | Mean | StandardDeviation |\n| --- | --- | --- | --- |\n| Drum | 3.31 | 1.36 | 0.14 |\n| Plane | 3.50 | 2.00 | 0.42 |\n| Piano | 3.34 | 1.67 | 0.26 |\n| Speedboat | 2.69 | 1.71 | 0.33 |","| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Object | Upperbound | Mean | StandardDeviation |\n| --- | --- | --- | --- |\n| Drum | 3.31 | 1.36 | 0.14 |","| Plane | 3.50 | 2.00 | 0.42 |\n| --- | --- | --- | --- |\n| Piano | 3.34 | 1.67 | 0.26 |\n| Speedboat | 2.69 | 1.71 | 0.33 |\n| Guitar | 2.14 | 1.37 | 0.20 |\n| Dog | 5.41 | 1.58 | 0.31 |\n| All | 4.68 | 2.83 | 0.61 |",1]
["| Object | Upperbound | Mean | StandardDeviation |\n| --- | --- | --- | --- |\n| Drum | 3.31 | 1.36 | 0.14 |","| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["|  | L1MB | GS | TC-bw | TC | IAMB | IAMB1 | IAMB2 | IAMB3 | OR-SGBN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Factors | 47.66 | 50.74 | 49.40 | 49.74 | 50.28 | 49.70 | 50.28 | 50.28 | 17.70 |\n| Alarm | 36.04 | 37.72 | 36.86 | 39.24 | 40.96 | 37.30 | 40.96 | 40.96 | 23.14 |\n| Barley | 71.70 | 72.30 | 72.60 | 80.76 | 82.96 | 69.76 | 82.96 | 82.96 | 48.70 |","| Carpo | 71.96 | 76.30 | 75.14 | 77.38 | 77.18 | 77.36 | 77.18 | 77.18 | 14.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Chain | 2.66 | 2.44 | 2.76 | 2.22 | 2.36 | 2.50 | 2.36 | 2.36 | 3.52 |\n| Hailﬁnder | 60.00 | 62.04 | 63.16 | 65.42 | 66.40 | 60.90 | 66.40 | 66.40 | 28.66 |\n| Insurance | 42.80 | 42.16 | 41.72 | 44.06 | 48.08 | 41.42 | 48.08 | 48.08 | 31.20 |\n| Mildew | 46.22 | 46.46 | 45.46 | 49.82 | 52.48 | 44.82 | 52.48 | 52.48 | 33.86 |\n| Water | 64.52 | 65.02 | 63.70 | 68.06 | 74.22 | 63.48 | 74.22 | 74.22 | 46.74 |",1]
["|  | L1MB | GS | TC-bw | TC | IAMB | IAMB1 | IAMB2 | IAMB3 | OR-SGBN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Factors | 47.66 | 50.74 | 49.40 | 49.74 | 50.28 | 49.70 | 50.28 | 50.28 | 17.70 |\n| Alarm | 36.04 | 37.72 | 36.86 | 39.24 | 40.96 | 37.30 | 40.96 | 40.96 | 23.14 |\n| Barley | 71.70 | 72.30 | 72.60 | 80.76 | 82.96 | 69.76 | 82.96 | 82.96 | 48.70 |","|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["|  | L1MB | GS | TC-bw | TC | IAMB | IAMB1 | IAMB2 | IAMB3 | OR-SGBN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Factors | 47.66 | 50.74 | 49.40 | 49.74 | 50.28 | 49.70 | 50.28 | 50.28 | 17.70 |\n| Alarm | 36.04 | 37.72 | 36.86 | 39.24 | 40.96 | 37.30 | 40.96 | 40.96 | 23.14 |\n| Barley | 71.70 | 72.30 | 72.60 | 80.76 | 82.96 | 69.76 | 82.96 | 82.96 | 48.70 |\n| Carpo | 71.96 | 76.30 | 75.14 | 77.38 | 77.18 | 77.36 | 77.18 | 77.18 | 14.56 |\n| Chain | 2.66 | 2.44 | 2.76 | 2.22 | 2.36 | 2.50 | 2.36 | 2.36 | 3.52 |\n| Hailﬁnder | 60.00 | 62.04 | 63.16 | 65.42 | 66.40 | 60.90 | 66.40 | 66.40 | 28.66 |","| Insurance | 42.80 | 42.16 | 41.72 | 44.06 | 48.08 | 41.42 | 48.08 | 48.08 | 31.20 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Mildew | 46.22 | 46.46 | 45.46 | 49.82 | 52.48 | 44.82 | 52.48 | 52.48 | 33.86 |\n| Water | 64.52 | 65.02 | 63.70 | 68.06 | 74.22 | 63.48 | 74.22 | 74.22 | 46.74 |",1]
["|  | L1MB | GS | TC-bw | TC | IAMB | IAMB1 | IAMB2 | IAMB3 | OR-SGBN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Factors | 47.66 | 50.74 | 49.40 | 49.74 | 50.28 | 49.70 | 50.28 | 50.28 | 17.70 |\n| Alarm | 36.04 | 37.72 | 36.86 | 39.24 | 40.96 | 37.30 | 40.96 | 40.96 | 23.14 |\n| Barley | 71.70 | 72.30 | 72.60 | 80.76 | 82.96 | 69.76 | 82.96 | 82.96 | 48.70 |\n| Carpo | 71.96 | 76.30 | 75.14 | 77.38 | 77.18 | 77.36 | 77.18 | 77.18 | 14.56 |\n| Chain | 2.66 | 2.44 | 2.76 | 2.22 | 2.36 | 2.50 | 2.36 | 2.36 | 3.52 |\n| Hailﬁnder | 60.00 | 62.04 | 63.16 | 65.42 | 66.40 | 60.90 | 66.40 | 66.40 | 28.66 |","| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| --- | --- | --- | --- | --- | --- |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["| Model(datasetI) | Accuracy | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| NaiveBayes | 0.8813 | 0.8122 | 0.5988 | 0.6894 |\n| LogisticRegression | 0.8538 | 0.6270 | 0.8274 | 0.7134 |","| SVM | 0.8774 | 0.6836 | 0.8237 | 0.7471 |\n| --- | --- | --- | --- | --- |\n| RandomForest | 0.9361 | 0.9176 | 0.7795 | 0.8429 |",1]
["| Model(datasetI) | Accuracy | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| NaiveBayes | 0.8813 | 0.8122 | 0.5988 | 0.6894 |\n| LogisticRegression | 0.8538 | 0.6270 | 0.8274 | 0.7134 |","| Model | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| SVMfact | 100.00 | 40.20 | 57.34 |\n| NNfact | 87.14 | 59.80 | 70.93 |\n| NNfactart | 87.18 | 66.67 | 75.56 |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",0]
["| Model(datasetI) | Accuracy | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| NaiveBayes | 0.8813 | 0.8122 | 0.5988 | 0.6894 |\n| LogisticRegression | 0.8538 | 0.6270 | 0.8274 | 0.7134 |","| SVM | 0.8774 | 0.6836 | 0.8237 | 0.7471 |\n| --- | --- | --- | --- | --- |\n| RandomForest | 0.9361 | 0.9176 | 0.7795 | 0.8429 |",1]
["| Model(datasetI) | Accuracy | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| NaiveBayes | 0.8813 | 0.8122 | 0.5988 | 0.6894 |\n| LogisticRegression | 0.8538 | 0.6270 | 0.8274 | 0.7134 |","| NNfact | 87.14 | 59.80 | 70.93 |\n| --- | --- | --- | --- |\n| NNfactart | 87.18 | 66.67 | 75.56 |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",0]
["| MEM(GB) | CPU(units) | BW(G) | VM |\n| --- | --- | --- | --- |\n| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |\n| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |\n| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |","| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| --- | --- | --- | --- |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",1]
["| MEM(GB) | CPU(units) | BW(G) | VM |\n| --- | --- | --- | --- |\n| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |\n| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |\n| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |","| ComputeUnits | Memory | Storage | VMType |\n| --- | --- | --- | --- |\n| 1units | 1.875GB | 211.25GB | 1-1(1) |\n| 4units | 7.5GB | 845GB | 1-2(2) |\n| 8units | 15GB | 1690GB | 1-3(3) |\n| 6.5units | 17.1GB | 422.5GB | 2-1(4) |\n| 13units | 34.2GB | 845GB | 2-2(5) |\n| 26units | 68.4GB | 1690GB | 2-3(6) |\n| 5units | 1.875GB | 422.5GB | 3-1(7) |\n| 20units | 7GB | 1690GB | 3-2(8) |",0]
["| MEM(GB) | CPU(units) | BW(G) | VM |\n| --- | --- | --- | --- |\n| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |\n| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |","| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |\n| --- | --- | --- | --- |\n| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",1]
["| MEM(GB) | CPU(units) | BW(G) | VM |\n| --- | --- | --- | --- |\n| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |\n| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |","| 6.5units | 17.1GB | 422.5GB | 2-1(4) |\n| --- | --- | --- | --- |\n| 13units | 34.2GB | 845GB | 2-2(5) |\n| 26units | 68.4GB | 1690GB | 2-3(6) |\n| 5units | 1.875GB | 422.5GB | 3-1(7) |\n| 20units | 7GB | 1690GB | 3-2(8) |",0]
["| Sequence | SGL | Centroid | NDL | Proposed |\n| --- | --- | --- | --- | --- |\n| Car | 23.6366 | 28.3825 | 29.1869 | 28.2689 |\n| 0.7558 | 0.8539 | 0.8743 | 0.8624 |  |\n| 136.8 | 13564 | 10261 | 574.1 |  |\n| Carfront | 16.8052 | 20.1188 | 20.3457 | 20.9223 |\n| 0.6920 | 0.8048 | 0.8041 | 0.8375 |  |\n| 15.5 | 1610.7 | 1793.1 | 1.0535 |  |\n| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |\n| 0.7299 | 0.8231 | 0.7605 | 0.9258 |  |\n| 112.3 | 13778 | 11901 | 1.1621 |  |\n| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |","| 0.7479 | 0.8273 | 0.8125 | 0.9005 |\n| --- | --- | --- | --- |\n| 107.3 | 13309 | 11287 | 1.1252 |",1]
["| Sequence | SGL | Centroid | NDL | Proposed |\n| --- | --- | --- | --- | --- |\n| Car | 23.6366 | 28.3825 | 29.1869 | 28.2689 |\n| 0.7558 | 0.8539 | 0.8743 | 0.8624 |  |\n| 136.8 | 13564 | 10261 | 574.1 |  |\n| Carfront | 16.8052 | 20.1188 | 20.3457 | 20.9223 |\n| 0.6920 | 0.8048 | 0.8041 | 0.8375 |  |\n| 15.5 | 1610.7 | 1793.1 | 1.0535 |  |\n| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |\n| 0.7299 | 0.8231 | 0.7605 | 0.9258 |  |\n| 112.3 | 13778 | 11901 | 1.1621 |  |\n| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |","| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |\n| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 |  |\n| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 |  |\n| Carfront | 16.8052 | 17.7973 | 20.1188 | 20.9859 | 20.3457 | 22.2137 |\n| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 |  |\n| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 |  |\n| Desert | 21.1075 | 21.9822 | 26.2154 | 30.3749 | 23.3818 | 30.4087 |\n| 0.7299 | 0.7941 | 0.8231 | 0.9273 | 0.7605 | 0.9292 |  |\n| 112.3 | 10.5 | 13778 | 78.8 | 11901 | 917.1 |  |\n| Road | 24.8007 | 24.8087 | 28.1933 | 32.3209 | 27.6135 | 33.0020 |\n| 0.7479 | 0.7974 | 0.8273 | 0.9013 | 0.8125 | 0.9040 |  |\n| 107.3 | 14.2 | 13309 | 177.6 | 11287 | 1344.7 |  |",0]
["| Sequence | SGL | Centroid | NDL | Proposed |\n| --- | --- | --- | --- | --- |\n| Car | 23.6366 | 28.3825 | 29.1869 | 28.2689 |\n| 0.7558 | 0.8539 | 0.8743 | 0.8624 |  |\n| 136.8 | 13564 | 10261 | 574.1 |  |\n| Carfront | 16.8052 | 20.1188 | 20.3457 | 20.9223 |\n| 0.6920 | 0.8048 | 0.8041 | 0.8375 |  |\n| 15.5 | 1610.7 | 1793.1 | 1.0535 |  |\n| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |\n| 0.7299 | 0.8231 | 0.7605 | 0.9258 |  |\n| 112.3 | 13778 | 11901 | 1.1621 |  |\n| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |","| 0.7479 | 0.8273 | 0.8125 | 0.9005 |\n| --- | --- | --- | --- |\n| 107.3 | 13309 | 11287 | 1.1252 |",1]
["| Sequence | SGL | Centroid | NDL | Proposed |\n| --- | --- | --- | --- | --- |\n| Car | 23.6366 | 28.3825 | 29.1869 | 28.2689 |\n| 0.7558 | 0.8539 | 0.8743 | 0.8624 |  |\n| 136.8 | 13564 | 10261 | 574.1 |  |\n| Carfront | 16.8052 | 20.1188 | 20.3457 | 20.9223 |\n| 0.6920 | 0.8048 | 0.8041 | 0.8375 |  |\n| 15.5 | 1610.7 | 1793.1 | 1.0535 |  |\n| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |\n| 0.7299 | 0.8231 | 0.7605 | 0.9258 |  |\n| 112.3 | 13778 | 11901 | 1.1621 |  |\n| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |","| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 |  |\n| Desert | 21.1075 | 21.9822 | 26.2154 | 30.3749 | 23.3818 | 30.4087 |\n| 0.7299 | 0.7941 | 0.8231 | 0.9273 | 0.7605 | 0.9292 |  |\n| 112.3 | 10.5 | 13778 | 78.8 | 11901 | 917.1 |  |\n| Road | 24.8007 | 24.8087 | 28.1933 | 32.3209 | 27.6135 | 33.0020 |\n| 0.7479 | 0.7974 | 0.8273 | 0.9013 | 0.8125 | 0.9040 |  |\n| 107.3 | 14.2 | 13309 | 177.6 | 11287 | 1344.7 |  |",0]
["| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.846 | 0.854 | 0.029 | 0.112 | 0.438 | 0.446 |\n| MF | 0.861 | 0.837 | 0.059 | 0.209 | 0.460 | 0.523 |\n| ICM-iter | 0.722 | 0.797 | 0.312 | 0.379 | 0.517 | 0.588 |\n| SA | 0.806 | 0.837 | 0.234 | 0.202 | 0.520 | 0.520 |\n| ICM | 0.730 | 0.807 | 0.319 | 0.389 | 0.525 | 0.598 |","| Gibbs | 0.840 | 0.840 | 0.233 | 0.197 | 0.537 | 0.518 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LocPMAP | 0.753 | 0.826 | 0.337 | 0.404 | 0.545 | 0.615 |",1]
["| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.846 | 0.854 | 0.029 | 0.112 | 0.438 | 0.446 |\n| MF | 0.861 | 0.837 | 0.059 | 0.209 | 0.460 | 0.523 |\n| ICM-iter | 0.722 | 0.797 | 0.312 | 0.379 | 0.517 | 0.588 |\n| SA | 0.806 | 0.837 | 0.234 | 0.202 | 0.520 | 0.520 |\n| ICM | 0.730 | 0.807 | 0.319 | 0.389 | 0.525 | 0.598 |","| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 |\n| MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 |\n| ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 |\n| SA | 0.688 | 0.692 | 0.623 | 0.696 | 0.655 | 0.694 |\n| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |\n| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 |\n| LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |",0]
["| Background | Foreground | Mean |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |","| LBP | 0.846 | 0.854 | 0.029 | 0.112 | 0.438 | 0.446 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MF | 0.861 | 0.837 | 0.059 | 0.209 | 0.460 | 0.523 |\n| ICM-iter | 0.722 | 0.797 | 0.312 | 0.379 | 0.517 | 0.588 |\n| SA | 0.806 | 0.837 | 0.234 | 0.202 | 0.520 | 0.520 |\n| ICM | 0.730 | 0.807 | 0.319 | 0.389 | 0.525 | 0.598 |\n| Gibbs | 0.840 | 0.840 | 0.233 | 0.197 | 0.537 | 0.518 |\n| LocPMAP | 0.753 | 0.826 | 0.337 | 0.404 | 0.545 | 0.615 |",1]
["| Background | Foreground | Mean |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |","| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 |\n| LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |",0]
["| Relation | SYN | ANT | HYPER | PART-OF | RANDOM |\n| --- | --- | --- | --- | --- | --- |\n| SYN | 42 | 29 | 58 | 24 | 82 |\n| ANT | 29 | 74 | 38 | 23 | 196 |","| HYPER | 32 | 46 | 131 | 30 | 143 |\n| --- | --- | --- | --- | --- | --- |\n| PART-OF | 15 | 43 | 59 | 26 | 81 |\n| RANDOM | 18 | 56 | 44 | 27 | 2914 |",1]
["| Relation | SYN | ANT | HYPER | PART-OF | RANDOM |\n| --- | --- | --- | --- | --- | --- |\n| SYN | 42 | 29 | 58 | 24 | 82 |\n| ANT | 29 | 74 | 38 | 23 | 196 |","| Relation | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| SYN | 0.309 | 0.179 | 0.226 |\n| ANT | 0.298 | 0.206 | 0.243 |\n| HYPER | 0.397 | 0.343 | 0.368 |\n| PART-OF | 0.200 | 0.116 | 0.147 |",0]
["| Relation | SYN | ANT | HYPER | PART-OF | RANDOM |\n| --- | --- | --- | --- | --- | --- |\n| SYN | 42 | 29 | 58 | 24 | 82 |","| ANT | 29 | 74 | 38 | 23 | 196 |\n| --- | --- | --- | --- | --- | --- |\n| HYPER | 32 | 46 | 131 | 30 | 143 |\n| PART-OF | 15 | 43 | 59 | 26 | 81 |\n| RANDOM | 18 | 56 | 44 | 27 | 2914 |",1]
["| Relation | SYN | ANT | HYPER | PART-OF | RANDOM |\n| --- | --- | --- | --- | --- | --- |\n| SYN | 42 | 29 | 58 | 24 | 82 |","| HYPER | 0.397 | 0.343 | 0.368 |\n| --- | --- | --- | --- |\n| PART-OF | 0.200 | 0.116 | 0.147 |",0]
["| D | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| 0.50 | (0,1,5) | (0,2,10) | (0,1.5,15) |\n| 0.75 | (0,1,5) | (0,3.5,10) | (0,3,15) |","| 1.00 | (0,2,5) | (0,4,10) | (0,3,15) |\n| --- | --- | --- | --- |\n| 1.25 | (0,1,5) | (0,6.5,10) | (0,6,15) |\n| 1.50 | (0,2,5) | (0,7,10) | (0,6,15) |\n| 1.75 | (0,3,5) | (0,7.5,10) | (0,6,15) |\n| 2.00 | (0,4,5) | (0,6,10) | (0,9,15) |",1]
["| D | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| 0.50 | (0,1,5) | (0,2,10) | (0,1.5,15) |\n| 0.75 | (0,1,5) | (0,3.5,10) | (0,3,15) |","| v | ρ(v) | d | v | ρ(v) | d |\n| --- | --- | --- | --- | --- | --- |\n| T1 | (−0.7,1.61) | (4,3,3) | f1,0 | (0.62,−0.48) | (1,3,2) |\n| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |\n| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |\n| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |\n| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |\n| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |\n| a2 | (−1.68,−0.86) | (4,0,4) | f1,1 | (0.79,−1.46) | (2,4,3) |\n| a3 | (1.62,0.34) | (3,4,0) | t2,1 | (−1.97,1.27) | (5,3,5) |\n| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |\n| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |\n| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |\n| t1,0 | (−0.15,−1.11) | (2,4,3) |  |  |  |",0]
["| D | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| 0.50 | (0,1,5) | (0,2,10) | (0,1.5,15) |\n| 0.75 | (0,1,5) | (0,3.5,10) | (0,3,15) |","| 1.00 | (0,2,5) | (0,4,10) | (0,3,15) |\n| --- | --- | --- | --- |\n| 1.25 | (0,1,5) | (0,6.5,10) | (0,6,15) |\n| 1.50 | (0,2,5) | (0,7,10) | (0,6,15) |\n| 1.75 | (0,3,5) | (0,7.5,10) | (0,6,15) |\n| 2.00 | (0,4,5) | (0,6,10) | (0,9,15) |",1]
["| D | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| 0.50 | (0,1,5) | (0,2,10) | (0,1.5,15) |\n| 0.75 | (0,1,5) | (0,3.5,10) | (0,3,15) |","| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |\n| --- | --- | --- | --- | --- | --- |\n| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |\n| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |\n| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |\n| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |\n| a2 | (−1.68,−0.86) | (4,0,4) | f1,1 | (0.79,−1.46) | (2,4,3) |\n| a3 | (1.62,0.34) | (3,4,0) | t2,1 | (−1.97,1.27) | (5,3,5) |\n| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |\n| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |\n| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |\n| t1,0 | (−0.15,−1.11) | (2,4,3) |  |  |  |",0]
["| Closeness | Description |\n| --- | --- |\n| 0 | Don’tknowtheperson |\n| 1 | Acquaintance |\n| 2 | Friends |","| 3 | GoodFriends |\n| --- | --- |\n| 4 | VeryGoodFriends |",1]
["| Closeness | Description |\n| --- | --- |\n| 0 | Don’tknowtheperson |\n| 1 | Acquaintance |\n| 2 | Friends |","| SocialAttributes | BaselineI | BaselineII | OurModel |\n| --- | --- | --- | --- |\n| happy | 0.84 | 0.86 | 0.84 |\n| unhappy | 0.75 | 0.81 | 0.80 |\n| friendly | 0.78 | 0.83 | 0.82 |\n| unfriendly | 0.72 | 0.80 | 0.79 |\n| sociable | 0.74 | 0.78 | 0.78 |\n| introverted | 0.50 | 0.64 | 0.65 |\n| attractive | 0.72 | 0.66 | 0.75 |\n| unattractive | 0.62 | 0.62 | 0.70 |\n| kind | 0.72 | 0.79 | 0.79 |\n| mean | 0.69 | 0.75 | 0.73 |\n| caring | 0.72 | 0.78 | 0.79 |\n| cold | 0.71 | 0.81 | 0.79 |\n| trustworthy | 0.62 | 0.72 | 0.73 |\n| untrustworthy | 0.60 | 0.69 | 0.70 |\n| responsible | 0.58 | 0.65 | 0.70 |\n| irresponsible | 0.55 | 0.64 | 0.67 |\n| conﬁdent | 0.55 | 0.55 | 0.61 |\n| uncertain | 0.45 | 0.62 | 0.63 |\n| humble | 0.55 | 0.64 | 0.63 |\n| egotistic | 0.52 | 0.62 | 0.62 |\n| emotionallystable | 0.53 | 0.64 | 0.67 |\n| emotionallyunstable | 0.50 | 0.62 | 0.64 |\n| normal | 0.49 | 0.58 | 0.61 |\n| weird | 0.52 | 0.50 | 0.56 |\n| intelligent | 0.49 | 0.53 | 0.62 |\n| unintelligent | 0.43 | 0.53 | 0.58 |\n| interesting | 0.42 | 0.64 | 0.67 |\n| boring | 0.39 | 0.54 | 0.60 |\n| calm | 0.41 | 0.47 | 0.50 |\n| aggressive | 0.65 | 0.72 | 0.72 |\n| emotional | 0.33 | 0.60 | 0.60 |\n| unemotional | 0.56 | 0.76 | 0.75 |\n| memorable | 0.30 | 0.38 | 0.48 |\n| forgettable | 0.27 | 0.40 | 0.48 |\n| typical | 0.28 | 0.41 | 0.43 |\n| atypical | 0.24 | 0.40 | 0.43 |\n| common | 0.25 | 0.37 | 0.40 |\n| uncommon | 0.27 | 0.38 | 0.40 |\n| familiar | 0.24 | 0.42 | 0.44 |\n| unfamiliar | 0.18 | 0.40 | 0.44 |",0]
["| Closeness | Description |\n| --- | --- |\n| 0 | Don’tknowtheperson |\n| 1 | Acquaintance |\n| 2 | Friends |","| 3 | GoodFriends |\n| --- | --- |\n| 4 | VeryGoodFriends |",1]
["| Closeness | Description |\n| --- | --- |\n| 0 | Don’tknowtheperson |\n| 1 | Acquaintance |\n| 2 | Friends |","| kind | 0.72 | 0.79 | 0.79 |\n| --- | --- | --- | --- |\n| mean | 0.69 | 0.75 | 0.73 |\n| caring | 0.72 | 0.78 | 0.79 |\n| cold | 0.71 | 0.81 | 0.79 |\n| trustworthy | 0.62 | 0.72 | 0.73 |\n| untrustworthy | 0.60 | 0.69 | 0.70 |\n| responsible | 0.58 | 0.65 | 0.70 |\n| irresponsible | 0.55 | 0.64 | 0.67 |\n| conﬁdent | 0.55 | 0.55 | 0.61 |\n| uncertain | 0.45 | 0.62 | 0.63 |\n| humble | 0.55 | 0.64 | 0.63 |\n| egotistic | 0.52 | 0.62 | 0.62 |\n| emotionallystable | 0.53 | 0.64 | 0.67 |\n| emotionallyunstable | 0.50 | 0.62 | 0.64 |\n| normal | 0.49 | 0.58 | 0.61 |\n| weird | 0.52 | 0.50 | 0.56 |\n| intelligent | 0.49 | 0.53 | 0.62 |\n| unintelligent | 0.43 | 0.53 | 0.58 |\n| interesting | 0.42 | 0.64 | 0.67 |\n| boring | 0.39 | 0.54 | 0.60 |\n| calm | 0.41 | 0.47 | 0.50 |\n| aggressive | 0.65 | 0.72 | 0.72 |\n| emotional | 0.33 | 0.60 | 0.60 |\n| unemotional | 0.56 | 0.76 | 0.75 |\n| memorable | 0.30 | 0.38 | 0.48 |\n| forgettable | 0.27 | 0.40 | 0.48 |\n| typical | 0.28 | 0.41 | 0.43 |\n| atypical | 0.24 | 0.40 | 0.43 |\n| common | 0.25 | 0.37 | 0.40 |\n| uncommon | 0.27 | 0.38 | 0.40 |\n| familiar | 0.24 | 0.42 | 0.44 |\n| unfamiliar | 0.18 | 0.40 | 0.44 |",0]
["| Sys<br>tem | AdjSWAP<br>MatMis | KBSwap<br>MatMis | CNSwap<br>MatMis | FNSwap<br>MatMis |\n| --- | --- | --- | --- | --- |\n| NB | 43.042.9 | 47.747.9 | 51.149.8 | 49.749.6 |","| CH | 68.2468.1 | 68.568.3 | 68.369.1 | 69.970.3 |\n| --- | --- | --- | --- | --- |\n| RC | 66.666.4 | 67.066.8 | 66.667.0 | 68.468.4 |\n| IS | 57.858.6 | 57.758.7 | 58.359.4 | 57.557.6 |",1]
["| Sys<br>tem | AdjSWAP<br>MatMis | KBSwap<br>MatMis | CNSwap<br>MatMis | FNSwap<br>MatMis |\n| --- | --- | --- | --- | --- |\n| NB | 43.042.9 | 47.747.9 | 51.149.8 | 49.749.6 |","| System | C-EErrors | C-NErrors |\n| --- | --- | --- |\n| MatMis | MatMis |  |\n| NB | 79.8382.40 | 20.1717.60 |\n| CH | 99.7899.75 | 0.220.25 |\n| RC | 66.6768.50 | 33.3331.50 |\n| IS | 99.4099.81 | 0.600.19 |",0]
["| Sys<br>tem | AdjSWAP<br>MatMis | KBSwap<br>MatMis | CNSwap<br>MatMis | FNSwap<br>MatMis |\n| --- | --- | --- | --- | --- |\n| NB | 43.042.9 | 47.747.9 | 51.149.8 | 49.749.6 |","| CH | 68.2468.1 | 68.568.3 | 68.369.1 | 69.970.3 |\n| --- | --- | --- | --- | --- |\n| RC | 66.666.4 | 67.066.8 | 66.667.0 | 68.468.4 |\n| IS | 57.858.6 | 57.758.7 | 58.359.4 | 57.557.6 |",1]
["| Sys<br>tem | AdjSWAP<br>MatMis | KBSwap<br>MatMis | CNSwap<br>MatMis | FNSwap<br>MatMis |\n| --- | --- | --- | --- | --- |\n| NB | 43.042.9 | 47.747.9 | 51.149.8 | 49.749.6 |","| CH | 99.7899.75 | 0.220.25 |\n| --- | --- | --- |\n| RC | 66.6768.50 | 33.3331.50 |\n| IS | 99.4099.81 | 0.600.19 |",0]
["| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |","| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5000 | 0.0016 |  |  |  | 0.99850 |  |\n| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",1]
["| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |","| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 13.0 | 30.8 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| ∗<br>0.0A0 | 13.3 | 31.7 | 44.5 | 32.0 | 25.1 | 54.4 | 54.8 | 34.4 |\n| 0.4A0 | 12.5 | 30.5 | 42.2 | 31.0 | 23.0 | 52.9 | 53.9 | 33.0 |\n| 1.0A0 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| 0.0A2 | 14.8 | 31.7 | 46.3 | 31.6 | 27.5 | 54.3 | 54.8 | 35.1 |\n| 0.4A2 | 12.2 | 30.7 | 42.0 | 31.1 | 22.5 | 53.1 | 54.4 | 33.0 |\n| 1.0A2 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |",0]
["| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |\n| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |","| 5000 | 0.0016 |  |  |  | 0.99850 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",1]
["| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |\n| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |","| 0.4A0 | 12.5 | 30.5 | 42.2 | 31.0 | 23.0 | 52.9 | 53.9 | 33.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0A0 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| 0.0A2 | 14.8 | 31.7 | 46.3 | 31.6 | 27.5 | 54.3 | 54.8 | 35.1 |\n| 0.4A2 | 12.2 | 30.7 | 42.0 | 31.1 | 22.5 | 53.1 | 54.4 | 33.0 |\n| 1.0A2 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |",0]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |","| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| --- | --- | --- | --- | --- | --- |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",1]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |","| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |\n| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",0]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |","| haveafeeling | feel | [??] | have | produce | 3.27 |\n| --- | --- | --- | --- | --- | --- |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |\n| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",1]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |","| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| --- | --- | --- | --- | --- | --- |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",0]
["| p | FunctionAchievingMaximumentropyforgivenp | MaximumEntropyAchievedforgivenp |\n| --- | --- | --- |\n| 2 | y=x+xxiii+1i+2 | 2 |\n| 3 | y=x+xx+xxiii+1i+2i+1i+3 | 2.5 |\n|  | y=x+xx+xxiii+1i+3i+2i+3 | 2.5 |\n|  | y=x+xx+xx+xxiii+1i+2i+2i+3i+3i+1 | 2.5 |\n| 4 | y=x+xx+xxiii+1i+4i+2i+3 | 3 |","|  | y=x+xx+xx+xxiii+1i+4i+2i+4i+3i+4 | 3 |\n| --- | --- | --- |\n|  | y=x+xx+xx+xxiii+1i+4i+2i+3i+3i+4 | 3 |",1]
["| p | FunctionAchievingMaximumentropyforgivenp | MaximumEntropyAchievedforgivenp |\n| --- | --- | --- |\n| 2 | y=x+xxiii+1i+2 | 2 |\n| 3 | y=x+xx+xxiii+1i+2i+1i+3 | 2.5 |\n|  | y=x+xx+xxiii+1i+3i+2i+3 | 2.5 |\n|  | y=x+xx+xx+xxiii+1i+2i+2i+3i+3i+1 | 2.5 |\n| 4 | y=x+xx+xxiii+1i+4i+2i+3 | 3 |","| x | y | z | Numberofsatisﬁedclauses |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 2 |\n| 0 | 1 | 0 | 3 |\n| 0 | 0 | 1 | 3 |\n| 0 | 0 | 0 | 3 |\n| 1 | 1 | 1 | 3 |\n| 1 | 1 | 0 | 3 |\n| 1 | 0 | 1 | 3 |\n| 1 | 0 | 0 | 2 |",0]
["| p | FunctionAchievingMaximumentropyforgivenp | MaximumEntropyAchievedforgivenp |\n| --- | --- | --- |\n| 2 | y=x+xxiii+1i+2 | 2 |\n| 3 | y=x+xx+xxiii+1i+2i+1i+3 | 2.5 |\n|  | y=x+xx+xxiii+1i+3i+2i+3 | 2.5 |\n|  | y=x+xx+xx+xxiii+1i+2i+2i+3i+3i+1 | 2.5 |\n| 4 | y=x+xx+xxiii+1i+4i+2i+3 | 3 |","|  | y=x+xx+xx+xxiii+1i+4i+2i+4i+3i+4 | 3 |\n| --- | --- | --- |\n|  | y=x+xx+xx+xxiii+1i+4i+2i+3i+3i+4 | 3 |",1]
["| p | FunctionAchievingMaximumentropyforgivenp | MaximumEntropyAchievedforgivenp |\n| --- | --- | --- |\n| 2 | y=x+xxiii+1i+2 | 2 |\n| 3 | y=x+xx+xxiii+1i+2i+1i+3 | 2.5 |\n|  | y=x+xx+xxiii+1i+3i+2i+3 | 2.5 |\n|  | y=x+xx+xx+xxiii+1i+2i+2i+3i+3i+1 | 2.5 |\n| 4 | y=x+xx+xxiii+1i+4i+2i+3 | 3 |","| 1 | 1 | 1 | 3 |\n| --- | --- | --- | --- |\n| 1 | 1 | 0 | 3 |\n| 1 | 0 | 1 | 3 |\n| 1 | 0 | 0 | 2 |",0]
["|  | k=3 | k=4 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | q | r | t | q | r | t | q |","| 1 | 3x−1 | 3x+3x+1 | −3x−1 | x+x+1 | x+2x+2 | −x | x+1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 2x+x+1<br>2<br>14x+3x−1<br>2<br>14x+17x+4 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−7x−2<br>7x+3 | 4x+2x+1 | 2x+2x+1 | −2x | 2x+x+2<br>2<br>6x+3x+1 |\n| 3 | 3x+2x+2 | x+x+1 | −x | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2 | −x<br>−5x−1<br>−5x−2 | 3x+2x+3<br>2<br>9x+6x+2<br>2<br>21x+8x+1<br>2<br>21x+22x+6 |\n| 4 | 4x+3x+3<br>2<br>12x+9x+2<br>2<br>28x+13x+1<br>2<br>28x+27x+6 | x+x+1<br>2<br>3x+3x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−3x−1<br>−7x−2<br>7x+3 | 8x+6x+3 | 2x+2x+1 | −2x | 4x+3x+4<br>2<br>28x+13x+2<br>2<br>28x+27x+7<br>2<br>52x+15x+1<br>2<br>52x+41x+8 |\n| 5 | 5x+4x+4<br>2<br>35x+18x+2<br>2<br>35x+32x+7<br>2<br>65x+22x+1<br>2<br>65x+48x+8<br>2<br>95x+56x+7<br>2<br>95x+94x+22 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3 | −x<br>−7x−2<br>7x+3<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8 | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7<br>2<br>65x+37x+5<br>2<br>65x+63x+15<br>2<br>85x+23x+1<br>2<br>85x+57x+9 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2<br>2<br>13x+10x+2<br>2<br>13x+10x+2<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −x<br>−5x−1<br>−5x−2<br>−13x−4<br>13x+6<br>−17x−3<br>17x+5 | 5x+4x+5<br>2<br>15x+12x+4<br>2<br>35x+18x+3<br>2<br>35x+32x+8<br>2<br>65x+22x+2<br>2<br>65x+48x+9<br>2<br>95x+56x+8<br>2<br>95x+94x+23 |\n| 6 | 6x+5x+5<br>2<br>18x+15+4<br>2<br>78x+29x+2<br>2<br>78x+55x+9<br>2<br>114x+71x+10<br>2<br>114x+109x+25<br>2<br>126x+33x+1<br>2<br>126x+75x+10 | x+x+1<br>2<br>3x+3x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3<br>2<br>21x+9x+1<br>2<br>21x+9x+1 | −x<br>−3x−1<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8<br>−21x−4<br>21x+5 | 12x+10x+5<br>2<br>60x+26x+3<br>2<br>60x+46x+9<br>2<br>102x+31x+2<br>2<br>102x+65x+10 | 2x+2x+1<br>2<br>10x+6x+1<br>2<br>10x+6x+1<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −2x<br>−10x−2<br>10x+4<br>−17x−3<br>17x+5 | 6x+5x+6<br>2<br>18x+15x+5<br>2<br>42x+23x+4<br>2<br>42x+37x+9<br>2<br>78x+29x+3<br>2<br>78x+55x+10 |",1]
["|  | k=3 | k=4 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | q | r | t | q | r | t | q |","| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["|  | k=3 | k=4 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | q | r | t | q | r | t | q |\n| 1 | 3x−1 | 3x+3x+1 | −3x−1 | x+x+1 | x+2x+2 | −x | x+1 |","| 2 | 2x+x+1<br>2<br>14x+3x−1<br>2<br>14x+17x+4 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−7x−2<br>7x+3 | 4x+2x+1 | 2x+2x+1 | −2x | 2x+x+2<br>2<br>6x+3x+1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 3x+2x+2 | x+x+1 | −x | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2 | −x<br>−5x−1<br>−5x−2 | 3x+2x+3<br>2<br>9x+6x+2<br>2<br>21x+8x+1<br>2<br>21x+22x+6 |\n| 4 | 4x+3x+3<br>2<br>12x+9x+2<br>2<br>28x+13x+1<br>2<br>28x+27x+6 | x+x+1<br>2<br>3x+3x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−3x−1<br>−7x−2<br>7x+3 | 8x+6x+3 | 2x+2x+1 | −2x | 4x+3x+4<br>2<br>28x+13x+2<br>2<br>28x+27x+7<br>2<br>52x+15x+1<br>2<br>52x+41x+8 |\n| 5 | 5x+4x+4<br>2<br>35x+18x+2<br>2<br>35x+32x+7<br>2<br>65x+22x+1<br>2<br>65x+48x+8<br>2<br>95x+56x+7<br>2<br>95x+94x+22 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3 | −x<br>−7x−2<br>7x+3<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8 | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7<br>2<br>65x+37x+5<br>2<br>65x+63x+15<br>2<br>85x+23x+1<br>2<br>85x+57x+9 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2<br>2<br>13x+10x+2<br>2<br>13x+10x+2<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −x<br>−5x−1<br>−5x−2<br>−13x−4<br>13x+6<br>−17x−3<br>17x+5 | 5x+4x+5<br>2<br>15x+12x+4<br>2<br>35x+18x+3<br>2<br>35x+32x+8<br>2<br>65x+22x+2<br>2<br>65x+48x+9<br>2<br>95x+56x+8<br>2<br>95x+94x+23 |\n| 6 | 6x+5x+5<br>2<br>18x+15+4<br>2<br>78x+29x+2<br>2<br>78x+55x+9<br>2<br>114x+71x+10<br>2<br>114x+109x+25<br>2<br>126x+33x+1<br>2<br>126x+75x+10 | x+x+1<br>2<br>3x+3x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3<br>2<br>21x+9x+1<br>2<br>21x+9x+1 | −x<br>−3x−1<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8<br>−21x−4<br>21x+5 | 12x+10x+5<br>2<br>60x+26x+3<br>2<br>60x+46x+9<br>2<br>102x+31x+2<br>2<br>102x+65x+10 | 2x+2x+1<br>2<br>10x+6x+1<br>2<br>10x+6x+1<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −2x<br>−10x−2<br>10x+4<br>−17x−3<br>17x+5 | 6x+5x+6<br>2<br>18x+15x+5<br>2<br>42x+23x+4<br>2<br>42x+37x+9<br>2<br>78x+29x+3<br>2<br>78x+55x+10 |",1]
["|  | k=3 | k=4 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | q | r | t | q | r | t | q |\n| 1 | 3x−1 | 3x+3x+1 | −3x−1 | x+x+1 | x+2x+2 | −x | x+1 |","| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["| No. | TweetKeyIdentifyingPhrases |\n| --- | --- |\n| 1 | Breastcancerfeargone!Tumorremoved... |\n| 2 | ...mytremendouslydiﬃcultjourneythroughStageIVBreastCancer... |\n| 3 | ...lifeafterbreastcancer.Iam11yearsCancerFree... |","| 4 | ...IMFIGHTINGBREASTCANCERSTAGE3... |\n| --- | --- |\n| 5 | @USERjustgotdiagnosedwithbreastcancer... |",1]
["| No. | TweetKeyIdentifyingPhrases |\n| --- | --- |\n| 1 | Breastcancerfeargone!Tumorremoved... |\n| 2 | ...mytremendouslydiﬃcultjourneythroughStageIVBreastCancer... |\n| 3 | ...lifeafterbreastcancer.Iam11yearsCancerFree... |","| Topic# | TopWords |\n| --- | --- |\n| 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice |\n| 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented |\n| 3 | scariestpestknowinglycausingﬂub<br>mesmerizedawnedmillenniumecologicalecologist |\n| 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee |\n| 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus |\n| 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible |\n| 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting |\n| 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph |\n| 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |\n| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |\n| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |\n| 12 | oﬀsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology |\n| 13 | undertakenwilsonianidealismbrethrenwriteoﬀ<br>multipolarhegemonistmultilateralenlargementmutating |\n| 14 | athleticallyﬁctitiousmyermajorleaguebaseballfamiliarizing<br>resurrectslugbackslidesupersedingartistically |\n| 15 | dialogﬁlesdiabolicalliontown<br>passwordlistswisscoldbloodedoutgained |\n| 16 | recessedphasedbutyllowlightbalmy<br>redliningprescriptionmarchedmischaracterizationtertiary |\n| 17 | sponsortelevisesponsorshipfestivalsullied<br>ratiﬁcationinsinuatingwarheadstagedreconstruct |\n| 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineﬀectivenesscoexistedrepentancedivvyingoverexposed |",0]
["| No. | TweetKeyIdentifyingPhrases |\n| --- | --- |\n| 1 | Breastcancerfeargone!Tumorremoved... |\n| 2 | ...mytremendouslydiﬃcultjourneythroughStageIVBreastCancer... |","| 3 | ...lifeafterbreastcancer.Iam11yearsCancerFree... |\n| --- | --- |\n| 4 | ...IMFIGHTINGBREASTCANCERSTAGE3... |\n| 5 | @USERjustgotdiagnosedwithbreastcancer... |",1]
["| No. | TweetKeyIdentifyingPhrases |\n| --- | --- |\n| 1 | Breastcancerfeargone!Tumorremoved... |\n| 2 | ...mytremendouslydiﬃcultjourneythroughStageIVBreastCancer... |","| 17 | sponsortelevisesponsorshipfestivalsullied<br>ratiﬁcationinsinuatingwarheadstagedreconstruct |\n| --- | --- |\n| 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineﬀectivenesscoexistedrepentancedivvyingoverexposed |",0]
["| Layer | Type | kernel | Activation |\n| --- | --- | --- | --- |\n| Input | Input(48×48) | – | – |\n| Hidden1 | Conv | 3×3(64ch) | ReLU |\n| Pool1 | Maxpooling | 2×2 | – |\n| Hidden2 | Conv | 3×3(64ch) | ReLU |\n| Pool2 | Maxpooling | 2×2 | – |","| Hidden3 | Dense | 1024 | ReLU |\n| --- | --- | --- | --- |\n| Output | Dense | 98 | Tanh |",1]
["| Layer | Type | kernel | Activation |\n| --- | --- | --- | --- |\n| Input | Input(48×48) | – | – |\n| Hidden1 | Conv | 3×3(64ch) | ReLU |\n| Pool1 | Maxpooling | 2×2 | – |\n| Hidden2 | Conv | 3×3(64ch) | ReLU |\n| Pool2 | Maxpooling | 2×2 | – |","| Layer | Units | Filters | FilterSize | PoolSize | Activation |\n| --- | --- | --- | --- | --- | --- |\n| 1-input | - | - | - | - | - |\n| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 3-maxpool-1 | - | - | - | 2x2 | - |\n| 4-conv-2 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 5-maxpool-2 | - | - | - | 2x2 | - |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",0]
["| Layer | Type | kernel | Activation |\n| --- | --- | --- | --- |\n| Input | Input(48×48) | – | – |\n| Hidden1 | Conv | 3×3(64ch) | ReLU |\n| Pool1 | Maxpooling | 2×2 | – |\n| Hidden2 | Conv | 3×3(64ch) | ReLU |","| Pool2 | Maxpooling | 2×2 | – |\n| --- | --- | --- | --- |\n| Hidden3 | Dense | 1024 | ReLU |\n| Output | Dense | 98 | Tanh |",1]
["| Layer | Type | kernel | Activation |\n| --- | --- | --- | --- |\n| Input | Input(48×48) | – | – |\n| Hidden1 | Conv | 3×3(64ch) | ReLU |\n| Pool1 | Maxpooling | 2×2 | – |\n| Hidden2 | Conv | 3×3(64ch) | ReLU |","| 4-conv-2 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| --- | --- | --- | --- | --- | --- |\n| 5-maxpool-2 | - | - | - | 2x2 | - |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |","| dropout4(Dropout) | probability=0.2 | activation6 |\n| --- | --- | --- |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",1]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |","| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |\n| dropout4(Dropout) | probability=0.2 | activation6 |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",0]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |","| ﬂatten1(Flatten) | null | dropout2 |\n| --- | --- | --- |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |\n| dropout4(Dropout) | probability=0.2 | activation6 |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",1]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |","| activation4(Activation) | null | conv4 |\n| --- | --- | --- |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |\n| dropout4(Dropout) | probability=0.2 | activation6 |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",0]
["| Model | FrequentWords | RareWords |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| man | including | relatively | unconditional | hydroplane | uploading |  |\n| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |\n| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |","| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| --- | --- | --- | --- | --- | --- | --- |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",1]
["| Model | FrequentWords | RareWords |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| man | including | relatively | unconditional | hydroplane | uploading |  |\n| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |\n| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |","| corpus:low,MRC:high |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| WSJ | Wikipedia-E | Web-E | BNC | MICASE |\n| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |\n| corpus:high,MRC:low |  |  |  |  |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",0]
["| Model | FrequentWords | RareWords |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| man | including | relatively | unconditional | hydroplane | uploading |  |\n| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |","| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| --- | --- | --- | --- | --- | --- | --- |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |\n| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",1]
["| Model | FrequentWords | RareWords |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| man | including | relatively | unconditional | hydroplane | uploading |  |\n| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |","| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |\n| --- | --- | --- | --- | --- |\n| corpus:high,MRC:low |  |  |  |  |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",0]
["| ServiceName | Unit | Cost/Year |\n| --- | --- | --- |\n| Stratusbasesubscription | Pkg | $626.06 |\n| AdditionalCPUCores | vCPU | $20.13 |","| AdditionalBlockStorage | TB | $151.95 |\n| --- | --- | --- |\n| PersistentSecureObjectStorage | TB | $70.35 |",1]
["| ServiceName | Unit | Cost/Year |\n| --- | --- | --- |\n| Stratusbasesubscription | Pkg | $626.06 |\n| AdditionalCPUCores | vCPU | $20.13 |","| NumberofUsers | 262,909 |\n| --- | --- |\n| NumberofServices | 39,520 |\n| NumberofServicesSold | 8,862 |\n| TotalRevenue | $1,349,316 |\n| AverageRevenueperservice | $152 |\n| AlexaGlobalRank | 12K |",0]
["| ServiceName | Unit | Cost/Year |\n| --- | --- | --- |\n| Stratusbasesubscription | Pkg | $626.06 |\n| AdditionalCPUCores | vCPU | $20.13 |","| AdditionalBlockStorage | TB | $151.95 |\n| --- | --- | --- |\n| PersistentSecureObjectStorage | TB | $70.35 |",1]
["| ServiceName | Unit | Cost/Year |\n| --- | --- | --- |\n| Stratusbasesubscription | Pkg | $626.06 |\n| AdditionalCPUCores | vCPU | $20.13 |","| NumberofServicesSold | 8,862 |\n| --- | --- |\n| TotalRevenue | $1,349,316 |\n| AverageRevenueperservice | $152 |\n| AlexaGlobalRank | 12K |",0]
["| Inputframe<br>3x64x64 |\n| --- |\n| 7ﬁrstlayersofresnet-18(pretrained,frozenweights) |\n| Reshape1x8192 |\n| FC8192→128 |","| FC128→8192 |\n| --- |\n| Reshape128x8x8 |\n| UpSamplingNearest(2),3x3Conv.128-1str.,BN,ReLU |\n| UpSamplingNearest(2),3x3Conv.64-1str.,BN,ReLU |\n| UpSamplingNearest(2),3x3Conv.3-1str.,BN,ReLU |\n| 3sigmoid<br>Targetmask |",1]
["| Inputframe<br>3x64x64 |\n| --- |\n| 7ﬁrstlayersofresnet-18(pretrained,frozenweights) |\n| Reshape1x8192 |\n| FC8192→128 |","| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| Dense(128,activation=“relu”) |\n| Dense(64,activation=“relu”) |\n| Dense(1,activation=None) |",0]
["| Inputframe<br>3x64x64 |\n| --- |\n| 7ﬁrstlayersofresnet-18(pretrained,frozenweights) |\n| Reshape1x8192 |\n| FC8192→128 |\n| FC128→8192 |\n| Reshape128x8x8 |\n| UpSamplingNearest(2),3x3Conv.128-1str.,BN,ReLU |\n| UpSamplingNearest(2),3x3Conv.64-1str.,BN,ReLU |","| UpSamplingNearest(2),3x3Conv.3-1str.,BN,ReLU |\n| --- |\n| 3sigmoid<br>Targetmask |",1]
["| Inputframe<br>3x64x64 |\n| --- |\n| 7ﬁrstlayersofresnet-18(pretrained,frozenweights) |\n| Reshape1x8192 |\n| FC8192→128 |\n| FC128→8192 |\n| Reshape128x8x8 |\n| UpSamplingNearest(2),3x3Conv.128-1str.,BN,ReLU |\n| UpSamplingNearest(2),3x3Conv.64-1str.,BN,ReLU |","| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| --- |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| Dense(128,activation=“relu”) |\n| Dense(64,activation=“relu”) |\n| Dense(1,activation=None) |",0]
["| Methods | ρ |\n| --- | --- |\n| TUAW–inﬂuence-ﬂowmodel | 0.284848 |\n| TUAW–MEIBI | 0.948485 |","| TUAW–MEIBIX | 0.939394 |\n| --- | --- |\n| inﬂuence-ﬂowmodel–MEIBI | 0.418182 |\n| inﬂuence-ﬂowmodel–MEIBIX | 0.357576 |\n| MEIBI–MEIBIX | 0.987879 |",1]
["| Methods | ρ |\n| --- | --- |\n| TUAW–inﬂuence-ﬂowmodel | 0.284848 |\n| TUAW–MEIBI | 0.948485 |","| n | ρ |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |",0]
["| Methods | ρ |\n| --- | --- |\n| TUAW–inﬂuence-ﬂowmodel | 0.284848 |\n| TUAW–MEIBI | 0.948485 |\n| TUAW–MEIBIX | 0.939394 |\n| inﬂuence-ﬂowmodel–MEIBI | 0.418182 |","| inﬂuence-ﬂowmodel–MEIBIX | 0.357576 |\n| --- | --- |\n| MEIBI–MEIBIX | 0.987879 |",1]
["| Methods | ρ |\n| --- | --- |\n| TUAW–inﬂuence-ﬂowmodel | 0.284848 |\n| TUAW–MEIBI | 0.948485 |\n| TUAW–MEIBIX | 0.939394 |\n| inﬂuence-ﬂowmodel–MEIBI | 0.418182 |","| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |",0]
["| Variable | Value | Description |\n| --- | --- | --- |\n| nDirectQueries | 1000 | numberofdirectqueries |\n| directQueryDist | 248:248:248:156:100 | distributionofdirectqueries<br>(selection:approximation:aggregation:s<br>window:joiningrequest) |\n| nPolicies | 900 | numberofuniquepolicies |\n| nRequests | 1500 | numberofmatchingrequests |","| α | 0.223 | skewparameterforZipfdistribution |\n| --- | --- | --- |\n| maxRank | 300 | maximumrankofuniquerequests<br>fromwhichZipfdistributionis<br>generated |",1]
["| Variable | Value | Description |\n| --- | --- | --- |\n| nDirectQueries | 1000 | numberofdirectqueries |\n| directQueryDist | 248:248:248:156:100 | distributionofdirectqueries<br>(selection:approximation:aggregation:s<br>window:joiningrequest) |\n| nPolicies | 900 | numberofuniquepolicies |\n| nRequests | 1500 | numberofmatchingrequests |","| Description | Count |\n| --- | --- |\n| Requests | 252036 |\n| Responses | 251802 |\n| URLsaccessed | 503838 |\n| DistinctURLs | 201628 |\n| Distincthosts | 9580 |\n| Distincthosts(combined) | 8601 |",0]
["| Variable | Value | Description |\n| --- | --- | --- |\n| nDirectQueries | 1000 | numberofdirectqueries |\n| directQueryDist | 248:248:248:156:100 | distributionofdirectqueries<br>(selection:approximation:aggregation:s<br>window:joiningrequest) |\n| nPolicies | 900 | numberofuniquepolicies |","| nRequests | 1500 | numberofmatchingrequests |\n| --- | --- | --- |\n| α | 0.223 | skewparameterforZipfdistribution |\n| maxRank | 300 | maximumrankofuniquerequests<br>fromwhichZipfdistributionis<br>generated |",1]
["| Variable | Value | Description |\n| --- | --- | --- |\n| nDirectQueries | 1000 | numberofdirectqueries |\n| directQueryDist | 248:248:248:156:100 | distributionofdirectqueries<br>(selection:approximation:aggregation:s<br>window:joiningrequest) |\n| nPolicies | 900 | numberofuniquepolicies |","| DistinctURLs | 201628 |\n| --- | --- |\n| Distincthosts | 9580 |\n| Distincthosts(combined) | 8601 |",0]
["| Biomarker | ER | P53 | PgR |\n| --- | --- | --- | --- |\n| No.ofTMA | 32 | 33 | 40 |\n| NAP | 42.02 | 50.68 | 48.17 |\n| NNP | 43.53 | 46.72 | 48.92 |","| RGB-CNN | 24.90 | 31.57 | 38.19 |\n| --- | --- | --- | --- |\n| RA-CNN | 25.43 | 23.39 | 31.82 |\n| RAM-CNN | 21.01 | 16.66 | 25.44 |",1]
["| Biomarker | ER | P53 | PgR |\n| --- | --- | --- | --- |\n| No.ofTMA | 32 | 33 | 40 |\n| NAP | 42.02 | 50.68 | 48.17 |\n| NNP | 43.53 | 46.72 | 48.92 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |\n| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |\n| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |\n| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |\n| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",0]
["| Biomarker | ER | P53 | PgR |\n| --- | --- | --- | --- |\n| No.ofTMA | 32 | 33 | 40 |","| NAP | 42.02 | 50.68 | 48.17 |\n| --- | --- | --- | --- |\n| NNP | 43.53 | 46.72 | 48.92 |\n| RGB-CNN | 24.90 | 31.57 | 38.19 |\n| RA-CNN | 25.43 | 23.39 | 31.82 |\n| RAM-CNN | 21.01 | 16.66 | 25.44 |",1]
["| Biomarker | ER | P53 | PgR |\n| --- | --- | --- | --- |\n| No.ofTMA | 32 | 33 | 40 |","| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",0]
["| InputSize | Depth | Top-1 |\n| --- | --- | --- |\n| 224x224 | 16 | 28.5 |\n| 224x224<br>224x224 | 22<br>22 | 27.8<br>25.2 |","| 224x224<br>224x224 | 50<br>152 | 24.7<br>23.0 |\n| --- | --- | --- |\n| 224x224<br>224x224 | 50<br>101 | 23.6<br>20.4 |\n| 224x224<br>224x224 | 38<br>38 | 24.3<br>22.6 |",1]
["| InputSize | Depth | Top-1 |\n| --- | --- | --- |\n| 224x224 | 16 | 28.5 |\n| 224x224<br>224x224 | 22<br>22 | 27.8<br>25.2 |","| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| InputSize | Depth | Top-1 |\n| --- | --- | --- |\n| 224x224 | 16 | 28.5 |\n| 224x224<br>224x224 | 22<br>22 | 27.8<br>25.2 |","| 224x224<br>224x224 | 50<br>152 | 24.7<br>23.0 |\n| --- | --- | --- |\n| 224x224<br>224x224 | 50<br>101 | 23.6<br>20.4 |\n| 224x224<br>224x224 | 38<br>38 | 24.3<br>22.6 |",1]
["| InputSize | Depth | Top-1 |\n| --- | --- | --- |\n| 224x224 | 16 | 28.5 |\n| 224x224<br>224x224 | 22<br>22 | 27.8<br>25.2 |","| 28 | 36.5M | 4.17 |\n| --- | --- | --- |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| Dataset | Method | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gavin | MDS | 6 | 60 | 169 | 384 | 644 |\n|  | Diverse | 3 | 19 | 111 | 373 | 622 |\n|  | ClusterONE | 0 | 17 | 107 | 304 | 585 |\n| KroganCore | MDS | 573 | 701 | 814 | 1070 | 1443 |\n|  | Diverse | 483 | 626 | 739 | 918 | 1061 |\n|  | ClusterONE | 349 | 496 | 652 | 833 | 1048 |\n| Kroganextended | MDS | 572 | 691 | 837 | 1097 | 1487 |\n|  | Diverse | 491 | 626 | 754 | 934 | 1078 |\n|  | ClusterONE | 354 | 495 | 658 | 870 | 1064 |\n| Collins | MDS | 750 | 901 | 1005 | 1086 | 1210 |","| (cov/k:5) | Diverse | 702 | 846 | 963 | 1058 | 1138 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | ClusterONE | 629 | 809 | 915 | 1019 | 1147 |\n| BioGRID | MDS | 2689 | 2951 | 3181 | 3593 | 3788 |\n|  | Diverse | 2335 | 2623 | 2827 | 3194 | 3367 |\n|  | ClusterONE | 1151 | 1580 | 1776 | 2580 | 4418 |\n| String | MDS | 2321 | 3422 | 4523 | 5867 | 7841 |\n|  | Diverse | 2063 | 3042 | 4021 | 5215 | 6970 |\n|  | ClusterONE | 970 | 1642 | 2381 | 3580 | 5618 |",1]
["| Dataset | Method | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gavin | MDS | 6 | 60 | 169 | 384 | 644 |\n|  | Diverse | 3 | 19 | 111 | 373 | 622 |\n|  | ClusterONE | 0 | 17 | 107 | 304 | 585 |\n| KroganCore | MDS | 573 | 701 | 814 | 1070 | 1443 |\n|  | Diverse | 483 | 626 | 739 | 918 | 1061 |\n|  | ClusterONE | 349 | 496 | 652 | 833 | 1048 |\n| Kroganextended | MDS | 572 | 691 | 837 | 1097 | 1487 |\n|  | Diverse | 491 | 626 | 754 | 934 | 1078 |\n|  | ClusterONE | 354 | 495 | 658 | 870 | 1064 |\n| Collins | MDS | 750 | 901 | 1005 | 1086 | 1210 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |\n| dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |\n| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 |\n| dorothea | 59 | 705 | - | - | 594 | 4 | 4 | 59 |\n| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |\n| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 |",0]
["| Dataset | Method | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gavin | MDS | 6 | 60 | 169 | 384 | 644 |\n|  | Diverse | 3 | 19 | 111 | 373 | 622 |","|  | ClusterONE | 0 | 17 | 107 | 304 | 585 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KroganCore | MDS | 573 | 701 | 814 | 1070 | 1443 |\n|  | Diverse | 483 | 626 | 739 | 918 | 1061 |\n|  | ClusterONE | 349 | 496 | 652 | 833 | 1048 |\n| Kroganextended | MDS | 572 | 691 | 837 | 1097 | 1487 |\n|  | Diverse | 491 | 626 | 754 | 934 | 1078 |\n|  | ClusterONE | 354 | 495 | 658 | 870 | 1064 |\n| Collins | MDS | 750 | 901 | 1005 | 1086 | 1210 |\n| (cov/k:5) | Diverse | 702 | 846 | 963 | 1058 | 1138 |\n|  | ClusterONE | 629 | 809 | 915 | 1019 | 1147 |\n| BioGRID | MDS | 2689 | 2951 | 3181 | 3593 | 3788 |\n|  | Diverse | 2335 | 2623 | 2827 | 3194 | 3367 |\n|  | ClusterONE | 1151 | 1580 | 1776 | 2580 | 4418 |\n| String | MDS | 2321 | 3422 | 4523 | 5867 | 7841 |\n|  | Diverse | 2063 | 3042 | 4021 | 5215 | 6970 |\n|  | ClusterONE | 970 | 1642 | 2381 | 3580 | 5618 |",1]
["| Dataset | Method | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gavin | MDS | 6 | 60 | 169 | 384 | 644 |\n|  | Diverse | 3 | 19 | 111 | 373 | 622 |","| dorothea | 59 | 705 | - | - | 594 | 4 | 4 | 59 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |\n| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 |",0]
["| Model | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| SVMfact | 100.00 | 40.20 | 57.34 |","| NNfact | 87.14 | 59.80 | 70.93 |\n| --- | --- | --- | --- |\n| NNfactart | 87.18 | 66.67 | 75.56 |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",1]
["| Model | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| SVMfact | 100.00 | 40.20 | 57.34 |","| Features | Precision | Recall | AUC |\n| --- | --- | --- | --- |\n| FP | 0.818 | 0.789 | 0.807 |\n| F+FPA | 0.846 | 0.864 | 0.853 |\n| F+FPE | 0.902 | 0.807 | 0.860 |\n| F+F+FPEA | 0.898 | 0.927 | 0.911 |",0]
["| Model | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| SVMfact | 100.00 | 40.20 | 57.34 |\n| NNfact | 87.14 | 59.80 | 70.93 |","| NNfactart | 87.18 | 66.67 | 75.56 |\n| --- | --- | --- | --- |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",1]
["| Model | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| SVMfact | 100.00 | 40.20 | 57.34 |\n| NNfact | 87.14 | 59.80 | 70.93 |","| F+FPE | 0.902 | 0.807 | 0.860 |\n| --- | --- | --- | --- |\n| F+F+FPEA | 0.898 | 0.927 | 0.911 |",0]
["| Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 |\n| DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 |\n| Poselets150L2 | 81.70 | 67.07 | 44.24 | 54.01 | 42.16 | 71.70 | 36.71 | 42.56 |","| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 |",1]
["| Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 |\n| DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 |\n| Poselets150L2 | 81.70 | 67.07 | 44.24 | 54.01 | 42.16 | 71.70 | 36.71 | 42.56 |","| Attribute | male | longhair | hat | glasses | dress | sunglasses | shortsleeves | baby |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Poselets150 | 86.00 | 75.31 | 29.03 | 36.72 | 34.73 | 50.16 | 55.25 | 41.26 |\n| DPD | 85.84 | 72.40 | 27.55 | 23.94 | 48.55 | 34.36 | 54.75 | 41.38 |\n| DeCAF | 82.47 | 65.03 | 19.15 | 14.91 | 44.68 | 26.91 | 56.40 | 50.19 |\n| DL-DPM | 88.27 | 77.64 | 43.44 | 36.70 | 55.72 | 55.03 | 67.95 | 64.89 |\n| PANDA | 94.10 | 83.17 | 39.52 | 72.25 | 59.41 | 66.62 | 72.09 | 78.76 |",0]
["| Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 |\n| DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 |","| Poselets150L2 | 81.70 | 67.07 | 44.24 | 54.01 | 42.16 | 71.70 | 36.71 | 42.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |\n| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 |",1]
["| Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 |\n| DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 |","| DL-DPM | 88.27 | 77.64 | 43.44 | 36.70 | 55.72 | 55.03 | 67.95 | 64.89 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PANDA | 94.10 | 83.17 | 39.52 | 72.25 | 59.41 | 66.62 | 72.09 | 78.76 |",0]
["| Algorithm | IRCCYNDatabase | LFOVIADatabase |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.6359 | 0.2465 | 1.0264 | 0.8816 | 0.8828 | 6.1104 |\n| MS-SSIM | 0.9100 | 0.8534 | 0.6512 | 0.8172 | 0.7888 | 8.9467 |\n| SBIQE | 0.0081 | 0.0054 | 1.2712 | 0.0010 | 0.0043 | 16.0311 |\n| BRISQUE | 0.7535 | 0.8145 | 0.6535 | 0.6182 | 0.6000 | 12.6001 |\n| NIQE | 0.5729 | 0.5664 | 0.8464 | 0.7206 | 0.7376 | 11.1138 |\n| STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |\n| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |","| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |\n| --- | --- | --- | --- | --- | --- | --- |\n| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |\n| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 |",1]
["| Algorithm | IRCCYNDatabase | LFOVIADatabase |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.6359 | 0.2465 | 1.0264 | 0.8816 | 0.8828 | 6.1104 |\n| MS-SSIM | 0.9100 | 0.8534 | 0.6512 | 0.8172 | 0.7888 | 8.9467 |\n| SBIQE | 0.0081 | 0.0054 | 1.2712 | 0.0010 | 0.0043 | 16.0311 |\n| BRISQUE | 0.7535 | 0.8145 | 0.6535 | 0.6182 | 0.6000 | 12.6001 |\n| NIQE | 0.5729 | 0.5664 | 0.8464 | 0.7206 | 0.7376 | 11.1138 |\n| STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |\n| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |","| Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.9037 | 0.8991 | 7.0246 | 0.8769 | 0.8755 | 5.8162 |\n| MS-SSIM | 0.8901 | 0.8681 | 21.2322 | 0.8423 | 0.7785 | 15.1681 |\n| SBIQE | 0.0006 | 0.0027 | 25.4484 | 0.0021 | 0.0051 | 12.0123 |\n| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |\n| NIQE | 0.8499 | 0.8705 | 13.4076 | 0.6835 | 0.6929 | 8.8334 |\n| STMAD | 0.7815 | 0.8000 | 10.2358 | 0.6534 | 0.6010 | 9.1614 |\n| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",0]
["| Algorithm | IRCCYNDatabase | LFOVIADatabase |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.6359 | 0.2465 | 1.0264 | 0.8816 | 0.8828 | 6.1104 |\n| MS-SSIM | 0.9100 | 0.8534 | 0.6512 | 0.8172 | 0.7888 | 8.9467 |\n| SBIQE | 0.0081 | 0.0054 | 1.2712 | 0.0010 | 0.0043 | 16.0311 |","| BRISQUE | 0.7535 | 0.8145 | 0.6535 | 0.6182 | 0.6000 | 12.6001 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NIQE | 0.5729 | 0.5664 | 0.8464 | 0.7206 | 0.7376 | 11.1138 |\n| STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |\n| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |\n| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |\n| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |\n| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 |",1]
["| Algorithm | IRCCYNDatabase | LFOVIADatabase |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.6359 | 0.2465 | 1.0264 | 0.8816 | 0.8828 | 6.1104 |\n| MS-SSIM | 0.9100 | 0.8534 | 0.6512 | 0.8172 | 0.7888 | 8.9467 |\n| SBIQE | 0.0081 | 0.0054 | 1.2712 | 0.0010 | 0.0043 | 16.0311 |","| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NIQE | 0.8499 | 0.8705 | 13.4076 | 0.6835 | 0.6929 | 8.8334 |\n| STMAD | 0.7815 | 0.8000 | 10.2358 | 0.6534 | 0.6010 | 9.1614 |\n| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",0]
["|  | TheFSMCModel | TheMeasurementData |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| pk,k−1 | pk,k | pk,k+1 | pk,k−1 | pk,k | pk,k+1 |  |\n| k=1 | - | 0.75 | 0.25 | - | 0.78 | 0.22 |\n| k=2 | 0.25 | 0.5 | 0.25 | 0.269 | 0.47 | 0.26 |\n| k=3 | 0.25 | 0.5 | 0.25 | 0.23 | 0.5 | 0.26 |\n| k=4 | 0.22 | 0.66 | 0.11 | 0.22 | 0.65 | 0.12 |\n| k=5 | 0.125 | 0.5 | 0.25 | 0.126 | 0.63 | 0.24 |\n| k=6 | 0.095 | 0.81 | 0.048 | 0.089 | 0.86 | 0.049 |","| k=7 | 0.13 | 0.6 | 0.27 | 0.12 | 0.61 | 0.26 |\n| --- | --- | --- | --- | --- | --- | --- |\n| k=8 | 0.013 | 0.98 | - | 0.013 | 0.98 | - |",1]
["|  | TheFSMCModel | TheMeasurementData |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| pk,k−1 | pk,k | pk,k+1 | pk,k−1 | pk,k | pk,k+1 |  |\n| k=1 | - | 0.75 | 0.25 | - | 0.78 | 0.22 |\n| k=2 | 0.25 | 0.5 | 0.25 | 0.269 | 0.47 | 0.26 |\n| k=3 | 0.25 | 0.5 | 0.25 | 0.23 | 0.5 | 0.26 |\n| k=4 | 0.22 | 0.66 | 0.11 | 0.22 | 0.65 | 0.12 |\n| k=5 | 0.125 | 0.5 | 0.25 | 0.126 | 0.63 | 0.24 |\n| k=6 | 0.095 | 0.81 | 0.048 | 0.089 | 0.86 | 0.049 |","| K1 | k2 | k3 | k4 |\n| --- | --- | --- | --- |\n| 0.6 | 1.2 | 0.1 | 0.001 |\n| 0.864 | 0.981 | 0.005 | 0.016 |\n| 0.108 | 0.735 | 0.016 | 0.013 |\n| 0.263 | 0.299 | 0 | 0 |\n| 1.207 | 1.909 | 0.008 | 0.014 |\n| 0.648 | 1.64 | 0.027 | 0.016 |\n| 0.047 | 0.325 | 0.084 | 0 |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",0]
["|  | TheFSMCModel | TheMeasurementData |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| pk,k−1 | pk,k | pk,k+1 | pk,k−1 | pk,k | pk,k+1 |  |\n| k=1 | - | 0.75 | 0.25 | - | 0.78 | 0.22 |\n| k=2 | 0.25 | 0.5 | 0.25 | 0.269 | 0.47 | 0.26 |\n| k=3 | 0.25 | 0.5 | 0.25 | 0.23 | 0.5 | 0.26 |\n| k=4 | 0.22 | 0.66 | 0.11 | 0.22 | 0.65 | 0.12 |","| k=5 | 0.125 | 0.5 | 0.25 | 0.126 | 0.63 | 0.24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| k=6 | 0.095 | 0.81 | 0.048 | 0.089 | 0.86 | 0.049 |\n| k=7 | 0.13 | 0.6 | 0.27 | 0.12 | 0.61 | 0.26 |\n| k=8 | 0.013 | 0.98 | - | 0.013 | 0.98 | - |",1]
["|  | TheFSMCModel | TheMeasurementData |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| pk,k−1 | pk,k | pk,k+1 | pk,k−1 | pk,k | pk,k+1 |  |\n| k=1 | - | 0.75 | 0.25 | - | 0.78 | 0.22 |\n| k=2 | 0.25 | 0.5 | 0.25 | 0.269 | 0.47 | 0.26 |\n| k=3 | 0.25 | 0.5 | 0.25 | 0.23 | 0.5 | 0.26 |\n| k=4 | 0.22 | 0.66 | 0.11 | 0.22 | 0.65 | 0.12 |","| 0.263 | 0.299 | 0 | 0 |\n| --- | --- | --- | --- |\n| 1.207 | 1.909 | 0.008 | 0.014 |\n| 0.648 | 1.64 | 0.027 | 0.016 |\n| 0.047 | 0.325 | 0.084 | 0 |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",0]
["| Years | Numberofbooks |\n| --- | --- |\n| 1520-1699 | 1,243 |\n| 1700-1799 | 44,059 |","| 1800-1899 | 5,518,213 |\n| --- | --- |\n| 1900-2008 | 31,823,074 |",1]
["| Years | Numberofbooks |\n| --- | --- |\n| 1520-1699 | 1,243 |\n| 1700-1799 | 44,059 |","| Papers | Year |\n| --- | --- |\n|  | 2005 |\n|  | 2006 |\n|  | 2007 |\n|  | 2008 |\n|  | 2010 |\n|  | 2011 |\n|  | 2012 |\n|  | 2013 |\n|  | 2014 |\n|  | 2015 |\n|  | 2016 |\n|  | 2017 |",0]
["| Years | Numberofbooks |\n| --- | --- |\n| 1520-1699 | 1,243 |","| 1700-1799 | 44,059 |\n| --- | --- |\n| 1800-1899 | 5,518,213 |\n| 1900-2008 | 31,823,074 |",1]
["| Years | Numberofbooks |\n| --- | --- |\n| 1520-1699 | 1,243 |","|  | 2007 |\n| --- | --- |\n|  | 2008 |\n|  | 2010 |\n|  | 2011 |\n|  | 2012 |\n|  | 2013 |\n|  | 2014 |\n|  | 2015 |\n|  | 2016 |\n|  | 2017 |",0]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 6.942 | 0.8080 | 2.716 |\n| Plane2 | 4.206 | 3.7432 | 0.854 |\n| Plane3 | 4.864 | 4.5740 | 1.656 |","| Plane4 | 1.640 | 0.1930 | 0.353 |\n| --- | --- | --- | --- |\n| Plane5 | 833.587 | 1482 | 17.741 |",1]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 6.942 | 0.8080 | 2.716 |\n| Plane2 | 4.206 | 3.7432 | 0.854 |\n| Plane3 | 4.864 | 4.5740 | 1.656 |","|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 5.802 | 2.015 | 1.512 |\n| Plane2 | 5.166 | 4.117 | 1.215 |\n| Plane3 | 3.002 | 3.481 | 0.405 |\n| Plane4 | 2.479 | 0.483 | 1.171 |\n| Plane5 | 7.632 | 14.022 | 2.117 |",0]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 6.942 | 0.8080 | 2.716 |\n| Plane2 | 4.206 | 3.7432 | 0.854 |\n| Plane3 | 4.864 | 4.5740 | 1.656 |","| Plane4 | 1.640 | 0.1930 | 0.353 |\n| --- | --- | --- | --- |\n| Plane5 | 833.587 | 1482 | 17.741 |",1]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 6.942 | 0.8080 | 2.716 |\n| Plane2 | 4.206 | 3.7432 | 0.854 |\n| Plane3 | 4.864 | 4.5740 | 1.656 |","| Plane4 | 2.479 | 0.483 | 1.171 |\n| --- | --- | --- | --- |\n| Plane5 | 7.632 | 14.022 | 2.117 |",0]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.335 | 0.334 | 0.03 | 0.05 |\n| CosLMI | 0.638 | 0.663 | 0.293 | 0.34 |\n| CosPPMI | 0.672 | 0.675 | 0.441 | 0.446 |","| CosSVD-Freq300 | 0.35 | 0.363 | -0.013 | 0.001 |\n| --- | --- | --- | --- | --- |\n| CosSVD-LMI300 | 0.604 | 0.626 | 0.222 | 0.286 |\n| CosSVD-PPMI300 | 0.72 | 0.725 | 0.444 | 0.486 |\n| APSynLMI-1000 | 0.609 | 0.609 | 0.317 | 0.36 |\n| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |\n| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |\n| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |\n| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |\n| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 |",1]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.335 | 0.334 | 0.03 | 0.05 |\n| CosLMI | 0.638 | 0.663 | 0.293 | 0.34 |\n| CosPPMI | 0.672 | 0.675 | 0.441 | 0.446 |","| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |\n| CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |\n| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |\n| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |\n| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |\n| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 |\n| APSynLMI-1000 | 0.32 | 0.29 | 0.259 | 0.241 |\n| APSynLMI-500 | 0.355 | 0.319 | 0.261 | 0.284 |\n| APSynLMI-100 | 0.388 | 0.335 | 0.233 | 0.27 |\n| APSynPPMI-1000 | 0.519 | 0.525 | 0.337 | 0.397 |\n| APSynPPMI-500 | 0.564 | 0.546 | 0.361 | 0.382 |\n| PMIAPSynPPMI-100 | 0.562 | 0.553 | 0.287 | 0.309 |",0]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.335 | 0.334 | 0.03 | 0.05 |\n| CosLMI | 0.638 | 0.663 | 0.293 | 0.34 |\n| CosPPMI | 0.672 | 0.675 | 0.441 | 0.446 |","| CosSVD-Freq300 | 0.35 | 0.363 | -0.013 | 0.001 |\n| --- | --- | --- | --- | --- |\n| CosSVD-LMI300 | 0.604 | 0.626 | 0.222 | 0.286 |\n| CosSVD-PPMI300 | 0.72 | 0.725 | 0.444 | 0.486 |\n| APSynLMI-1000 | 0.609 | 0.609 | 0.317 | 0.36 |\n| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |\n| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |\n| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |\n| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |\n| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 |",1]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.335 | 0.334 | 0.03 | 0.05 |\n| CosLMI | 0.638 | 0.663 | 0.293 | 0.34 |\n| CosPPMI | 0.672 | 0.675 | 0.441 | 0.446 |","| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |\n| --- | --- | --- | --- | --- |\n| CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |\n| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |\n| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |\n| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |\n| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 |\n| APSynLMI-1000 | 0.32 | 0.29 | 0.259 | 0.241 |\n| APSynLMI-500 | 0.355 | 0.319 | 0.261 | 0.284 |\n| APSynLMI-100 | 0.388 | 0.335 | 0.233 | 0.27 |\n| APSynPPMI-1000 | 0.519 | 0.525 | 0.337 | 0.397 |\n| APSynPPMI-500 | 0.564 | 0.546 | 0.361 | 0.382 |\n| PMIAPSynPPMI-100 | 0.562 | 0.553 | 0.287 | 0.309 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.8259 | 0.8019 | 0.8137 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.8311 | 0.8235 | 0.8273 |","| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| --- | --- | --- | --- |\n| ConvNetCNN3 | 0.6927 | 0.8446 | 0.7612 |\n| MCTA | 0.7050 | 0.7419 | 0.7229 |\n| TVIA | 0.6993 | 0.7240 | 0.7114 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.8259 | 0.8019 | 0.8137 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.8311 | 0.8235 | 0.8273 |","| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |\n| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.8259 | 0.8019 | 0.8137 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.8311 | 0.8235 | 0.8273 |","| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| --- | --- | --- | --- |\n| ConvNetCNN3 | 0.6927 | 0.8446 | 0.7612 |\n| MCTA | 0.7050 | 0.7419 | 0.7229 |\n| TVIA | 0.6993 | 0.7240 | 0.7114 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.8259 | 0.8019 | 0.8137 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.8311 | 0.8235 | 0.8273 |","| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| --- | --- | --- | --- |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |\n| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",0]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Yasin | 60.0 | 54.7 | 71.6 | 67.5 | 63.8 | 61.9 | 55.7 | 73.9 |","| X\\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |\n| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 |",1]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Yasin | 60.0 | 54.7 | 71.6 | 67.5 | 63.8 | 61.9 | 55.7 | 73.9 |","| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |\n| Ours | 89.87 | 97.57 | 89.98 | 107.87 | 107.31 | 93.56 | 136.09 | 133.14 |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",0]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Yasin | 60.0 | 54.7 | 71.6 | 67.5 | 63.8 | 61.9 | 55.7 | 73.9 |\n| X\\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |","| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |\n| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 |",1]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Yasin | 60.0 | 54.7 | 71.6 | 67.5 | 63.8 | 61.9 | 55.7 | 73.9 |\n| X\\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |","| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",0]
["| Team | Model | Performance |\n| --- | --- | --- |\n| Le-Hong | ME | 88.78 |\n| [Anonymous] | CRF | 86.62 |\n| Nguyenetal. | ME | 84.08 |","| Nguyenetal. | LSTM | 83.80 |\n| --- | --- | --- |\n| Leetal. | CRF | 78.40 |",1]
["| Team | Model | Performance |\n| --- | --- | --- |\n| Le-Hong | ME | 88.78 |\n| [Anonymous] | CRF | 86.62 |\n| Nguyenetal. | ME | 84.08 |","| Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |\n| --- | --- | --- | --- |\n| Ours | 1 | 6.71 | 1.79 |\n| Ours | 2 | 6.74 | 1.73 |\n| Ours | 4 | 6.82 | 1.81 |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |\n| Slow | 4 | 6.38 | 1.39 |\n| VAE | 1 | 1.08 | 1.27 |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",0]
["| Team | Model | Performance |\n| --- | --- | --- |\n| Le-Hong | ME | 88.78 |\n| [Anonymous] | CRF | 86.62 |","| Nguyenetal. | ME | 84.08 |\n| --- | --- | --- |\n| Nguyenetal. | LSTM | 83.80 |\n| Leetal. | CRF | 78.40 |",1]
["| Team | Model | Performance |\n| --- | --- | --- |\n| Le-Hong | ME | 88.78 |\n| [Anonymous] | CRF | 86.62 |","| Ours | 2 | 6.74 | 1.73 |\n| --- | --- | --- | --- |\n| Ours | 4 | 6.82 | 1.81 |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |\n| Slow | 4 | 6.38 | 1.39 |\n| VAE | 1 | 1.08 | 1.27 |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",0]
["| SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |\n| --- | --- | --- | --- |\n| Baseline | 0.102⇓ | 0.041⇓ | 0.130 |\n| w/oIllustration | 0.107⇓ | 0.022⇓ | 0.112⇓ |\n| w/oContingency | 0.093⇓ | 0.025⇓ | 0.102⇓ |\n| w/oComparison | 0.103⇓ | 0.033⇓ | 0.113⇓ |\n| w/oAttributive | 0.113⇓ | 0.050 | 0.124 |\n| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |","| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| --- | --- | --- | --- |\n| withallRelations | 0.125 | .053 | 0.138 |",1]
["| SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |\n| --- | --- | --- | --- |\n| Baseline | 0.102⇓ | 0.041⇓ | 0.130 |\n| w/oIllustration | 0.107⇓ | 0.022⇓ | 0.112⇓ |\n| w/oContingency | 0.093⇓ | 0.025⇓ | 0.102⇓ |\n| w/oComparison | 0.103⇓ | 0.033⇓ | 0.113⇓ |\n| w/oAttributive | 0.113⇓ | 0.050 | 0.124 |\n| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |","| Database | Onenode | 4nodeswith<br>com.time | 4nodes<br>withoutcom.<br>time | com.time |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Win | Linux | Win | Linux | Win | Linux | Win | Linux |\n| Drosoph | 0.08 | 0.06 | 0.038 | 0.023 | 0.0235 | 0.0188 | 0.0145 | 0.0042 |\n| Pataa | 0.5 | 0.4 | 0.1344 | 0.1 | 0.0184 | 0.014 | 0.116 | 0.086 |\n| estothers | 1 | 0.8 | 0.5799 | 0.421 | 0.0343 | 0.035 | 0.5456 | 0.386 |\n| envnr | 18 | 15 | 4.0308 | 3.5132 | 0.5308 | 0.5132 | 3.5 | 3 |\n| Nr | 27 | 24 | 7.2077 | 6.1163 | 0.4077 | 0.6163 | 6.8 | 5.5 |",0]
["| SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |\n| --- | --- | --- | --- |\n| Baseline | 0.102⇓ | 0.041⇓ | 0.130 |\n| w/oIllustration | 0.107⇓ | 0.022⇓ | 0.112⇓ |","| w/oContingency | 0.093⇓ | 0.025⇓ | 0.102⇓ |\n| --- | --- | --- | --- |\n| w/oComparison | 0.103⇓ | 0.033⇓ | 0.113⇓ |\n| w/oAttributive | 0.113⇓ | 0.050 | 0.124 |\n| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |\n| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| withallRelations | 0.125 | .053 | 0.138 |",1]
["| SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |\n| --- | --- | --- | --- |\n| Baseline | 0.102⇓ | 0.041⇓ | 0.130 |\n| w/oIllustration | 0.107⇓ | 0.022⇓ | 0.112⇓ |","| Drosoph | 0.08 | 0.06 | 0.038 | 0.023 | 0.0235 | 0.0188 | 0.0145 | 0.0042 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pataa | 0.5 | 0.4 | 0.1344 | 0.1 | 0.0184 | 0.014 | 0.116 | 0.086 |\n| estothers | 1 | 0.8 | 0.5799 | 0.421 | 0.0343 | 0.035 | 0.5456 | 0.386 |\n| envnr | 18 | 15 | 4.0308 | 3.5132 | 0.5308 | 0.5132 | 3.5 | 3 |\n| Nr | 27 | 24 | 7.2077 | 6.1163 | 0.4077 | 0.6163 | 6.8 | 5.5 |",0]
["|  | Input | Train | Test | mAP | FPS |\n| --- | --- | --- | --- | --- | --- |\n| YOLO<br>YOLOv2<br>YOLOv2544x544<br>FasterR-CNN<br>R-FCN(ResNet-101) | 448<br>416<br>544 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007<br>2007<br>2007 | 63.4<br>76.8<br>78.6<br>73.2<br>80.5 | 45<br>67<br>40<br>5<br>5.9 |","| SSD*<br>DSSD(ResNet-101)<br>ISSD*<br>ours(SSDpooling)*<br>ours(SSDdeconvolution)* | 300<br>321<br>300<br>300<br>300 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007<br>2007<br>2007 | 77.7<br>78.6<br>78.1<br>77.1<br>77.3 | 61.1<br>9.5<br>26.9<br>48.3<br>39.9 |\n| --- | --- | --- | --- | --- | --- |\n| ours(R-SSD)*<br>ours(R-SSDoneclassiﬁer(4boxes))*<br>ours(R-SSDoneclassiﬁer(6boxes))* | 300<br>300<br>300 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007 | 78.5<br>76.2<br>77.0 | 35.0<br>34.8<br>35.4 |\n| SSD*<br>DSSD(ResNet-101)<br>ours(R-SSD)* | 512<br>513<br>512 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007 | 79.8<br>81.5<br>80.8 | 25.2<br>5.5<br>16.6 |",1]
["|  | Input | Train | Test | mAP | FPS |\n| --- | --- | --- | --- | --- | --- |\n| YOLO<br>YOLOv2<br>YOLOv2544x544<br>FasterR-CNN<br>R-FCN(ResNet-101) | 448<br>416<br>544 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007<br>2007<br>2007 | 63.4<br>76.8<br>78.6<br>73.2<br>80.5 | 45<br>67<br>40<br>5<br>5.9 |","| Cat | Method | Feature | Metric |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |\n| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",0]
["|  | Input | Train | Test | mAP | FPS |\n| --- | --- | --- | --- | --- | --- |\n| YOLO<br>YOLOv2<br>YOLOv2544x544<br>FasterR-CNN<br>R-FCN(ResNet-101) | 448<br>416<br>544 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007<br>2007<br>2007 | 63.4<br>76.8<br>78.6<br>73.2<br>80.5 | 45<br>67<br>40<br>5<br>5.9 |\n| SSD*<br>DSSD(ResNet-101)<br>ISSD*<br>ours(SSDpooling)*<br>ours(SSDdeconvolution)* | 300<br>321<br>300<br>300<br>300 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007<br>2007<br>2007 | 77.7<br>78.6<br>78.1<br>77.1<br>77.3 | 61.1<br>9.5<br>26.9<br>48.3<br>39.9 |","| ours(R-SSD)*<br>ours(R-SSDoneclassiﬁer(4boxes))*<br>ours(R-SSDoneclassiﬁer(6boxes))* | 300<br>300<br>300 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007 | 78.5<br>76.2<br>77.0 | 35.0<br>34.8<br>35.4 |\n| --- | --- | --- | --- | --- | --- |\n| SSD*<br>DSSD(ResNet-101)<br>ours(R-SSD)* | 512<br>513<br>512 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007 | 79.8<br>81.5<br>80.8 | 25.2<br>5.5<br>16.6 |",1]
["|  | Input | Train | Test | mAP | FPS |\n| --- | --- | --- | --- | --- | --- |\n| YOLO<br>YOLOv2<br>YOLOv2544x544<br>FasterR-CNN<br>R-FCN(ResNet-101) | 448<br>416<br>544 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007<br>2007<br>2007 | 63.4<br>76.8<br>78.6<br>73.2<br>80.5 | 45<br>67<br>40<br>5<br>5.9 |\n| SSD*<br>DSSD(ResNet-101)<br>ISSD*<br>ours(SSDpooling)*<br>ours(SSDdeconvolution)* | 300<br>321<br>300<br>300<br>300 | VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012<br>VOC2007+2012 | 2007<br>2007<br>2007<br>2007<br>2007 | 77.7<br>78.6<br>78.1<br>77.1<br>77.3 | 61.1<br>9.5<br>26.9<br>48.3<br>39.9 |","| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| --- | --- | --- | --- | --- | --- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.88 | 0.78 | 0.83 |\n| Zhangetal. | 0.88 | 0.74 | 0.80 |\n| Tianetal. | 0.85 | 0.76 | 0.80 |\n| Luetal. | 0.89 | 0.70 | 0.78 |\n| iwrr2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 0.88 | 0.65 | 0.74 |\n| Yinetal. | 0.84 | 0.65 | 0.73 |","| CASIANLPR | 0.79 | 0.68 | 0.73 |\n| --- | --- | --- | --- |\n| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |\n| I2RNUSFAR | 0.75 | 0.69 | 0.72 |\n| I2RNUS | 0.73 | 0.66 | 0.69 |\n| TH-TextLoc | 0.70 | 0.65 | 0.67 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.88 | 0.78 | 0.83 |\n| Zhangetal. | 0.88 | 0.74 | 0.80 |\n| Tianetal. | 0.85 | 0.76 | 0.80 |\n| Luetal. | 0.89 | 0.70 | 0.78 |\n| iwrr2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 0.88 | 0.65 | 0.74 |\n| Yinetal. | 0.84 | 0.65 | 0.73 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.7651 | 0.7531 | 0.7591 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yinetal. | 0.71 | 0.61 | 0.66 |\n| Uniﬁed | 0.64 | 0.62 | 0.61 |\n| TD-Mixture | 0.63 | 0.63 | 0.60 |\n| TD-ICDAR | 0.53 | 0.52 | 0.50 |\n| Epshteinetal. | 0.25 | 0.25 | 0.25 |\n| Chenetal. | 0.05 | 0.05 | 0.05 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.88 | 0.78 | 0.83 |\n| Zhangetal. | 0.88 | 0.74 | 0.80 |\n| Tianetal. | 0.85 | 0.76 | 0.80 |\n| Luetal. | 0.89 | 0.70 | 0.78 |\n| iwrr2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 0.88 | 0.65 | 0.74 |\n| Yinetal. | 0.84 | 0.65 | 0.73 |\n| CASIANLPR | 0.79 | 0.68 | 0.73 |\n| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |\n| I2RNUSFAR | 0.75 | 0.69 | 0.72 |","| I2RNUS | 0.73 | 0.66 | 0.69 |\n| --- | --- | --- | --- |\n| TH-TextLoc | 0.70 | 0.65 | 0.67 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.88 | 0.78 | 0.83 |\n| Zhangetal. | 0.88 | 0.74 | 0.80 |\n| Tianetal. | 0.85 | 0.76 | 0.80 |\n| Luetal. | 0.89 | 0.70 | 0.78 |\n| iwrr2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 0.88 | 0.65 | 0.74 |\n| Yinetal. | 0.84 | 0.65 | 0.73 |\n| CASIANLPR | 0.79 | 0.68 | 0.73 |\n| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |\n| I2RNUSFAR | 0.75 | 0.69 | 0.72 |","| Yinetal. | 0.71 | 0.61 | 0.66 |\n| --- | --- | --- | --- |\n| Uniﬁed | 0.64 | 0.62 | 0.61 |\n| TD-Mixture | 0.63 | 0.63 | 0.60 |\n| TD-ICDAR | 0.53 | 0.52 | 0.50 |\n| Epshteinetal. | 0.25 | 0.25 | 0.25 |\n| Chenetal. | 0.05 | 0.05 | 0.05 |",0]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| ARIMA(1,1,1) | 2015 | 0.5546 |\n| NaiveExponentialSmoothing | 2015 | 0.6487 |\n| NaiveExponentialSmoothing | 2014 | 0.7343 |","| NaiveExponentialSmoothing | 2013 | 0.7263 |\n| --- | --- | --- |\n| ExponentialSmoothing | 2015 | 0.6405 |\n| ExponentialSmoothing | 2014 | 0.8086 |\n| ExponentialSmoothing | 2013 | 0.7391 |",1]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| ARIMA(1,1,1) | 2015 | 0.5546 |\n| NaiveExponentialSmoothing | 2015 | 0.6487 |\n| NaiveExponentialSmoothing | 2014 | 0.7343 |","| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| NaiveExponentialSmoothing | 2015 | 0.8110 |\n| NaiveExponentialSmoothing | 2014 | 0.7411 |\n| NaiveExponentialSmoothing | 2013 | 0.8342 |\n| ARIMA(1,1,1) | 2015 | 0.7249 |\n| ARIMA(0,1,1) | 2015 | 0.7250 |",0]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| ARIMA(1,1,1) | 2015 | 0.5546 |\n| NaiveExponentialSmoothing | 2015 | 0.6487 |\n| NaiveExponentialSmoothing | 2014 | 0.7343 |","| NaiveExponentialSmoothing | 2013 | 0.7263 |\n| --- | --- | --- |\n| ExponentialSmoothing | 2015 | 0.6405 |\n| ExponentialSmoothing | 2014 | 0.8086 |\n| ExponentialSmoothing | 2013 | 0.7391 |",1]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| ARIMA(1,1,1) | 2015 | 0.5546 |\n| NaiveExponentialSmoothing | 2015 | 0.6487 |\n| NaiveExponentialSmoothing | 2014 | 0.7343 |","| NaiveExponentialSmoothing | 2013 | 0.8342 |\n| --- | --- | --- |\n| ARIMA(1,1,1) | 2015 | 0.7249 |\n| ARIMA(0,1,1) | 2015 | 0.7250 |",0]
["| Reference | Variant | ∆=3 | ∆=4 | ∆=5 | ∆=6 |\n| --- | --- | --- | --- | --- | --- |\n| Zehavi | Directed | ∗k<br>O(2.51985) | ∗k<br>O(2.99662) | ∗k<br>O(3.24901) | ∗k<br>O(3.40267) |","| Corollary?? | Undirected | O(2.24493) | O(2.66968) | O(2.87787) | O(3.00355) |\n| --- | --- | --- | --- | --- | --- |\n| Raibleetal. | Undirected | ∗n<br>O(1.96799) | ∗n<br>O(1.98735) | ∗n<br>O(1.99376) | ∗n<br>O(1.99777) |\n| Corollary?? | Undirected | O(1.71449) | O(1.80251) | O(1.82948) | O(1.84227) |",1]
["| Reference | Variant | ∆=3 | ∆=4 | ∆=5 | ∆=6 |\n| --- | --- | --- | --- | --- | --- |\n| Zehavi | Directed | ∗k<br>O(2.51985) | ∗k<br>O(2.99662) | ∗k<br>O(3.24901) | ∗k<br>O(3.40267) |","| Reference | Randomized\\Deterministic | Variation | RunningTime |\n| --- | --- | --- | --- |\n| Chenetal. | D | (3,p)-SP | ∗O(p)<br>O(p) |\n| Downeyetal. | D | (3,p)-WSP | O(p) |\n| Fellowsetal. | D | (3,p)-WSP | O(2) |\n| Liuetal. | D | (3,p)-WSP | O(2,0097.152) |\n| Koutis | D<br>R | (3,p)-SP<br>(3,p)-SP | O(2)<br>∗p<br>O(1,285.475) |\n| Wangetal. | D | (3,p)-WSP | O(432.082) |\n| Chenetal. | D | (3,p)-DM | O(21.907) |\n| Liuetal. | D<br>D<br>R | (3,p)-SP<br>(3,p)-DM<br>(3,p)-DM | O(97.973)<br>∗p<br>O(21.254)<br>∗p<br>O(12.488) |\n| Chenetal. | D<br>R | (3,p)-WSP<br>(3,p)-WSP | O(64)<br>∗p+o(p)<br>O(16) |\n| Wangetal. | D | (3,p)-SP | O(43.615) |\n| Chenetal. | D<br>D | (3,p)-WSP<br>(3,p)-WDM | O(32)<br>∗p+o(p)<br>O(16) |\n| Koutis | R | (3,p)-SP | O(8) |\n| Koutisetal. | R | (3,p)-DM | O(4) |\n| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |\n| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) |",0]
["| Reference | Variant | ∆=3 | ∆=4 | ∆=5 | ∆=6 |\n| --- | --- | --- | --- | --- | --- |\n| Zehavi | Directed | ∗k<br>O(2.51985) | ∗k<br>O(2.99662) | ∗k<br>O(3.24901) | ∗k<br>O(3.40267) |","| Corollary?? | Undirected | O(2.24493) | O(2.66968) | O(2.87787) | O(3.00355) |\n| --- | --- | --- | --- | --- | --- |\n| Raibleetal. | Undirected | ∗n<br>O(1.96799) | ∗n<br>O(1.98735) | ∗n<br>O(1.99376) | ∗n<br>O(1.99777) |\n| Corollary?? | Undirected | O(1.71449) | O(1.80251) | O(1.82948) | O(1.84227) |",1]
["| Reference | Variant | ∆=3 | ∆=4 | ∆=5 | ∆=6 |\n| --- | --- | --- | --- | --- | --- |\n| Zehavi | Directed | ∗k<br>O(2.51985) | ∗k<br>O(2.99662) | ∗k<br>O(3.24901) | ∗k<br>O(3.40267) |","| Koutis | R | (3,p)-SP | O(8) |\n| --- | --- | --- | --- |\n| Koutisetal. | R | (3,p)-DM | O(4) |\n| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |\n| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) |",0]
["| Method | 800 | 2500 | 10000 | 40000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) |\n| HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) |\n| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.236 | 1.27 | 5.84 | 42.3 |","| HF | 0.966 | 2.24 | 8.52 | 37.4 |\n| --- | --- | --- | --- | --- |\n| BD | 38.0 | 116 | 475 | 1941 |\n| timing(sec) |  |  |  |  |",1]
["| Method | 800 | 2500 | 10000 | 40000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) |\n| HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) |\n| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.236 | 1.27 | 5.84 | 42.3 |","| Method | 750 | 3000 | 12000 | 50000 | 200000 |\n| --- | --- | --- | --- | --- | --- |\n| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |\n| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |\n| (d,d)2∞ |  |  |  |  |  |\n| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |\n| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| timing(sec) |  |  |  |  |  |",0]
["| Method | 800 | 2500 | 10000 | 40000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) |\n| HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) |","| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |\n| --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.236 | 1.27 | 5.84 | 42.3 |\n| HF | 0.966 | 2.24 | 8.52 | 37.4 |\n| BD | 38.0 | 116 | 475 | 1941 |\n| timing(sec) |  |  |  |  |",1]
["| Method | 800 | 2500 | 10000 | 40000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) |\n| HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) |","| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |\n| --- | --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |  |\n| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |\n| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| timing(sec) |  |  |  |  |  |",0]
["| Word-EmbeddingVectorLength | 100 |\n| --- | --- |\n| FinalHiddenLayer | 200 |\n| Short-TermHiddenLayer | 150 |","| (Monthly,Weekly)ConvolutionalHiddenLayer | (40,20) |\n| --- | --- |\n| (Monthly,Weekly)ConvolutionWindowSize | (3,3) |\n| Optimizer | ADAM |\n| (Day,Week,Month)Lags | (1,7,30) |\n| (BatchSizeandLearningRate) | (50,0.001) |",1]
["| Word-EmbeddingVectorLength | 100 |\n| --- | --- |\n| FinalHiddenLayer | 200 |\n| Short-TermHiddenLayer | 150 |","| VocabularySize | 8000 |\n| --- | --- |\n| EmbeddingSize | 128 |\n| HiddenLayerSize | 128 |\n| LearningRate | 1×10 |\n| DropoutRate | 0.095 |\n| AdamOptimizer(β,β,α)12 | 0.09,0.99,0.001 |",0]
["| Word-EmbeddingVectorLength | 100 |\n| --- | --- |\n| FinalHiddenLayer | 200 |\n| Short-TermHiddenLayer | 150 |\n| (Monthly,Weekly)ConvolutionalHiddenLayer | (40,20) |\n| (Monthly,Weekly)ConvolutionWindowSize | (3,3) |","| Optimizer | ADAM |\n| --- | --- |\n| (Day,Week,Month)Lags | (1,7,30) |\n| (BatchSizeandLearningRate) | (50,0.001) |",1]
["| Word-EmbeddingVectorLength | 100 |\n| --- | --- |\n| FinalHiddenLayer | 200 |\n| Short-TermHiddenLayer | 150 |\n| (Monthly,Weekly)ConvolutionalHiddenLayer | (40,20) |\n| (Monthly,Weekly)ConvolutionWindowSize | (3,3) |","| HiddenLayerSize | 128 |\n| --- | --- |\n| LearningRate | 1×10 |\n| DropoutRate | 0.095 |\n| AdamOptimizer(β,β,α)12 | 0.09,0.99,0.001 |",0]
["| System | Synchronisation | BarrierMethod |\n| --- | --- | --- |\n| MapReduce | Requiresmaptocompletebeforereducing | BSP |","| Spark | Aggregateupdatesaftertaskcompletion | BSP |\n| --- | --- | --- |\n| Pregel | Superstepmodel | BSP |\n| Hogwild! | ASPbutsystem-levelboundsondelays | ASP,SSP |\n| ParameterServers | Swappablesynchronisationmethod | BSP,ASP,SSP |\n| CyclicDelay | UpdatesdelayedbyuptoN−1steps | SSP |\n| Yahoo!LDA | Checkpoints | SSP,ASP |\n| Owl+Actor | Swappablesynchronisationmethod | BSP,ASP,SSP,PSP |",1]
["| System | Synchronisation | BarrierMethod |\n| --- | --- | --- |\n| MapReduce | Requiresmaptocompletebeforereducing | BSP |","| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |\n| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| System | Synchronisation | BarrierMethod |\n| --- | --- | --- |\n| MapReduce | Requiresmaptocompletebeforereducing | BSP |\n| Spark | Aggregateupdatesaftertaskcompletion | BSP |\n| Pregel | Superstepmodel | BSP |\n| Hogwild! | ASPbutsystem-levelboundsondelays | ASP,SSP |","| ParameterServers | Swappablesynchronisationmethod | BSP,ASP,SSP |\n| --- | --- | --- |\n| CyclicDelay | UpdatesdelayedbyuptoN−1steps | SSP |\n| Yahoo!LDA | Checkpoints | SSP,ASP |\n| Owl+Actor | Swappablesynchronisationmethod | BSP,ASP,SSP,PSP |",1]
["| System | Synchronisation | BarrierMethod |\n| --- | --- | --- |\n| MapReduce | Requiresmaptocompletebeforereducing | BSP |\n| Spark | Aggregateupdatesaftertaskcompletion | BSP |\n| Pregel | Superstepmodel | BSP |\n| Hogwild! | ASPbutsystem-levelboundsondelays | ASP,SSP |","| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| --- | --- | --- | --- |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |","| 40 | 22.3 | 45.0 |  |\n| --- | --- | --- | --- |\n| 100 | 24.4 | 46.4 |  |",1]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |","| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",0]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |","| 4 | 16.1 | 41.2 | 50.4 |\n| --- | --- | --- | --- |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",1]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |","| 6 | 17.2 | 41.8 | 50.7 |\n| --- | --- | --- | --- |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",0]
["| sidelengthofsub-square | Lij | linksetofsub-square(i,j) | Yij |\n| --- | --- | --- | --- |\n| sidelengthofsuper-subSquare | X(t)ij | newschedulingforLattij | S(t)ij |","| locallinkset | OPT(t)<br>ij | localoptimalMWISLforLij | S(t) |\n| --- | --- | --- | --- |\n| longestlinklength | S(t)<br>ij | intersectionofLandS(t)ij | S(t) |\n| sidelengthofcell | (cid:107)uv(cid:107) | linklength | r(l)S |\n| aﬀectnesslgetfromlinksetS | Q(t) | queuelengthvector | W(S) |\n| interferencelinklsuﬀeredfromlinksetS | I | themaximuminterferencelcanbear | Imax |",1]
["| sidelengthofsub-square | Lij | linksetofsub-square(i,j) | Yij |\n| --- | --- | --- | --- |\n| sidelengthofsuper-subSquare | X(t)ij | newschedulingforLattij | S(t)ij |","| Graph | TSM-MWC<br>w | LSCC<br>w(w)maxavg | RRWL<br>w(w)maxavg | TRSC<br>w(w)maxavg |\n| --- | --- | --- | --- | --- |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5<br>frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 3693<br>4470<br>3958<br>4609<br>4023<br>4469<br>5105<br>4373<br>4916<br>5038 | 5886(5834.58)<br>5886(5826.08)<br>5844(5792.07)<br>5873(5833.78)<br>5817(5766.64)<br>6591(6548.68)<br>6645(6558.62)<br>6576(6523.49)<br>6592(6501.58)<br>6584(6527.69) | 5916(5841.13)<br>5886(5827.72)<br>5842(5795.35)<br>5877(5830.09)<br>5810(5774.23)<br>6591(6539.59)<br>6645(6552.96)<br>6606(6532.8)<br>6592(6505.26)<br>6569(6523.45) | 5916(5850.63)<br>5882(5842.6)<br>5854(5805.8)<br>5877(5840.62)<br>5843(5785.52)<br>6591(6554.16)<br>6645(6568.67)<br>6606(6542.24)<br>6592(6518.74)<br>6581(6533.69) |\n| frb65-28-1<br>frb65-28-2<br>frb65-28-3<br>frb65-28-4<br>frb65-28-5<br>frb70-30-1<br>frb70-30-2<br>frb70-30-3<br>frb70-30-4<br>frb70-30-5<br>frb75-32-1<br>frb75-32-2<br>frb75-32-3<br>frb75-32-4<br>frb75-32-5<br>frb80-33-1<br>frb80-33-2<br>frb80-33-3<br>frb80-33-4<br>frb80-33-5 | 5208<br>4788<br>4857<br>4587<br>4881<br>5125<br>5159<br>4635<br>4918<br>5402<br>5168<br>5820<br>5928<br>6315<br>5393<br>5819<br>5783<br>5954<br>6655<br>6167 | 7410(7319.63)<br>7421(7369.89)<br>7449(7359.52)<br>7433(7366.07)<br>7451(7354.89)<br>7717(7597.72)<br>7749(7668.98)<br>7678(7622.72)<br>7739(7680.75)<br>7749(7669.0)<br>8615(8537.8)<br>8644(8569.07)<br>8619(8506.95)<br>8714(8589.85)<br>8663(8590.24)<br>9353(9249.81)<br>9343(9251.12)<br>7449(7359.52)<br>9387(9305.08)<br>9413(9337.37) | 7405(7353.08)<br>7425(7365.99)<br>7434(7361.07)<br>7438(7366.83)<br>7451(7354.73)<br>7688(7600.97)<br>7734(7667.96)<br>7733(7620.69)<br>7750(7684.43)<br>7725(7666.93)<br>8637(8532.98)<br>8657(8570.63)<br>8565(8496.14)<br>8688(8590.29)<br>8655(8591.12)<br>9461(9242.11)<br>9390(9248.75)<br>7434(7361.07)<br>9430(9301.91)<br>9415(9341.21) | 7432(7377.73)<br>7441(7380.56)<br>7445(7377.62)<br>7448(7381.88)<br>7451(7374.99)<br>7772(7617.76)<br>7777(7689.7)<br>7696(7638.95)<br>7766(7703.22)<br>7740(7683.99)<br>8621(8556.81)<br>8667(8583.37)<br>8600(8528.81)<br>8692(8607.74)<br>8644(8602.52)<br>9407(9294.27)<br>9387(9293.51)<br>7445(7377.62)<br>9408(9332.44)<br>9478(9360.45) |\n| C2000.9<br>C4000.5 | 8338<br>2438 | 10999(10942.27)<br>2792(2792.0) | 10999(10951.67)<br>2792(2792.0) | 10999(10965.43)<br>2792(2792.0) |\n| hamming10-4 | 4828 | 5129(5129.0) | 5129(5129.0) | 5129(5129.0) |\n| keller6 | 4793 | 8062(7841.39) | 8062(7891.05) | 8062(7961.9) |\n| MANNa45<br>MANNa81 | ∗<br>34265<br>110037 | 34254(34244.51)<br>111126(111093.81) | 34263(34254.75)<br>111346(111306.32) | 34262(34254.18)<br>111356(111305.79) |",0]
["| sidelengthofsub-square | Lij | linksetofsub-square(i,j) | Yij |\n| --- | --- | --- | --- |\n| sidelengthofsuper-subSquare | X(t)ij | newschedulingforLattij | S(t)ij |","| locallinkset | OPT(t)<br>ij | localoptimalMWISLforLij | S(t) |\n| --- | --- | --- | --- |\n| longestlinklength | S(t)<br>ij | intersectionofLandS(t)ij | S(t) |\n| sidelengthofcell | (cid:107)uv(cid:107) | linklength | r(l)S |\n| aﬀectnesslgetfromlinksetS | Q(t) | queuelengthvector | W(S) |\n| interferencelinklsuﬀeredfromlinksetS | I | themaximuminterferencelcanbear | Imax |",1]
["| sidelengthofsub-square | Lij | linksetofsub-square(i,j) | Yij |\n| --- | --- | --- | --- |\n| sidelengthofsuper-subSquare | X(t)ij | newschedulingforLattij | S(t)ij |","| hamming10-4 | 4828 | 5129(5129.0) | 5129(5129.0) | 5129(5129.0) |\n| --- | --- | --- | --- | --- |\n| keller6 | 4793 | 8062(7841.39) | 8062(7891.05) | 8062(7961.9) |\n| MANNa45<br>MANNa81 | ∗<br>34265<br>110037 | 34254(34244.51)<br>111126(111093.81) | 34263(34254.75)<br>111346(111306.32) | 34262(34254.18)<br>111356(111305.79) |",0]
["|  | TestSet1 | TestSet2 | TestSets1and2 |\n| --- | --- | --- | --- |\n| Uniform | 2.12(—) | 1.76(—) | 2.01(—) |","| Greedy | 1.50(15) | 1.30(20) | 1.41(30) |\n| --- | --- | --- | --- |\n| MergingDecision | 1.32(15) | 1.13(20) | 1.27(27) |\n| Evidential | 1.10(17) | 0.89(21) | 1.00(35) |",1]
["|  | TestSet1 | TestSet2 | TestSets1and2 |\n| --- | --- | --- | --- |\n| Uniform | 2.12(—) | 1.76(—) | 2.01(—) |","| Quantity | TestingSet | CrossValidation |\n| --- | --- | --- |\n| 0.5k0.5k | 83 | 79.90 |\n| 1k1k | 84 | 81.70 |\n| 2k2k | 85.80 | 83.30 |\n| 4k4k | 87.20 | 83.80 |\n| 8k8k | 89.10 | 83.50 |\n| 16k16k | 91.30 | 84.10 |\n| 32k32k | 92.50 | 86.10 |",0]
["|  | TestSet1 | TestSet2 | TestSets1and2 |\n| --- | --- | --- | --- |\n| Uniform | 2.12(—) | 1.76(—) | 2.01(—) |\n| Greedy | 1.50(15) | 1.30(20) | 1.41(30) |","| MergingDecision | 1.32(15) | 1.13(20) | 1.27(27) |\n| --- | --- | --- | --- |\n| Evidential | 1.10(17) | 0.89(21) | 1.00(35) |",1]
["|  | TestSet1 | TestSet2 | TestSets1and2 |\n| --- | --- | --- | --- |\n| Uniform | 2.12(—) | 1.76(—) | 2.01(—) |\n| Greedy | 1.50(15) | 1.30(20) | 1.41(30) |","| 4k4k | 87.20 | 83.80 |\n| --- | --- | --- |\n| 8k8k | 89.10 | 83.50 |\n| 16k16k | 91.30 | 84.10 |\n| 32k32k | 92.50 | 86.10 |",0]
["| 0.3098e-05 | 0.3400e-05 | 0.031224 | 0.027232 |\n| --- | --- | --- | --- |\n| 0.4261e-05 | 0.6327e-05 | 0.018957 | 0.008058 |\n| 0.9840e-05 | 1.8471e-05 | 0.003965 | 0.001075 |\n| 2.4910e-05 | 4.0698e-05 | 0.001303 | 0.000349 |\n| 4.6378e-05 | 5.6221e-05 | 0.000556 | 0.000230 |","| 1.6833e-05 | 3.7144e-05 | 0.002008 | 0.000682 |\n| --- | --- | --- | --- |\n| 3.9273e-05 | 8.2546e-05 | 0.000988 | 0.000289 |\n| 1.3435e-05 | 3.3610e-05 | 0.003192 | 0.000994 |\n| 0.7797e-05 | 1.8311e-05 | 0.005119 | 0.001512 |\n| 2.7111e-05 | 6.1215e-05 | 0.001243 | 0.000412 |",1]
["| 0.3098e-05 | 0.3400e-05 | 0.031224 | 0.027232 |\n| --- | --- | --- | --- |\n| 0.4261e-05 | 0.6327e-05 | 0.018957 | 0.008058 |\n| 0.9840e-05 | 1.8471e-05 | 0.003965 | 0.001075 |\n| 2.4910e-05 | 4.0698e-05 | 0.001303 | 0.000349 |\n| 4.6378e-05 | 5.6221e-05 | 0.000556 | 0.000230 |","| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |\n| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |\n| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |\n| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |\n| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",0]
["| 0.3098e-05 | 0.3400e-05 | 0.031224 | 0.027232 |\n| --- | --- | --- | --- |\n| 0.4261e-05 | 0.6327e-05 | 0.018957 | 0.008058 |\n| 0.9840e-05 | 1.8471e-05 | 0.003965 | 0.001075 |\n| 2.4910e-05 | 4.0698e-05 | 0.001303 | 0.000349 |\n| 4.6378e-05 | 5.6221e-05 | 0.000556 | 0.000230 |\n| 1.6833e-05 | 3.7144e-05 | 0.002008 | 0.000682 |\n| 3.9273e-05 | 8.2546e-05 | 0.000988 | 0.000289 |","| 1.3435e-05 | 3.3610e-05 | 0.003192 | 0.000994 |\n| --- | --- | --- | --- |\n| 0.7797e-05 | 1.8311e-05 | 0.005119 | 0.001512 |\n| 2.7111e-05 | 6.1215e-05 | 0.001243 | 0.000412 |",1]
["| 0.3098e-05 | 0.3400e-05 | 0.031224 | 0.027232 |\n| --- | --- | --- | --- |\n| 0.4261e-05 | 0.6327e-05 | 0.018957 | 0.008058 |\n| 0.9840e-05 | 1.8471e-05 | 0.003965 | 0.001075 |\n| 2.4910e-05 | 4.0698e-05 | 0.001303 | 0.000349 |\n| 4.6378e-05 | 5.6221e-05 | 0.000556 | 0.000230 |\n| 1.6833e-05 | 3.7144e-05 | 0.002008 | 0.000682 |\n| 3.9273e-05 | 8.2546e-05 | 0.000988 | 0.000289 |","| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |","| 2 | {3,12} | {3,12} | {3,12} | {3,12} |\n| --- | --- | --- | --- | --- |\n| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |\n| 2 | {3,12} | {3,12} | {3,12} | {3,12} |\n| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |\n| 2 | {3,12} | {3,12} | {3,12} | {3,12} |","| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| --- | --- | --- | --- | --- |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |\n| 2 | {3,12} | {3,12} | {3,12} | {3,12} |","| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| --- | --- | --- | --- | --- |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",0]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 50 | 16 | 1.0642 | 1.0156 | 1.0 |\n| 50 | 16 | 1.127 | 1.0363 | 1.0 |\n| 50 | 16 | 1.1968 | 1.0258 | 1.0 |\n| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |","| 50 | 25 | 1.1167 | 1.006 | 1.0028 |\n| --- | --- | --- | --- | --- |\n| 50 | 25 | 1.2206 | 1.0393 | 1.0 |\n| 50 | 25 | 1.3246 | 1.0277 | 1.0 |\n| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |\n| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |\n| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |\n| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |\n| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |\n| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |\n| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |\n| 1000 | 100 | 1.0055 | 1.0101 | 1.0 |",1]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 50 | 16 | 1.0642 | 1.0156 | 1.0 |\n| 50 | 16 | 1.127 | 1.0363 | 1.0 |\n| 50 | 16 | 1.1968 | 1.0258 | 1.0 |\n| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |","| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 100 | 20 | 1.004 | 1.0047 | 1.0001 |\n| 160 | 20 | 1.5116 | 1.0612 | 1.0009 |\n| 160 | 40 | 1.065 | 1.0063 | 1.0 |\n| 208 | 52 | 2.2537 | 1.074 | 1.019 |\n| 240 | 60 | 1.0083 | 1.0045 | 1.0001 |\n| 300 | 75 | 1.8088 | 1.0478 | 1.0006 |\n| 312 | 52 | 1.7593 | 1.0475 | 1.0008 |\n| 320 | 32 | 1.0972 | 1.0015 | 1.0 |\n| 400 | 100 | 1.0058 | 1.0048 | 1.0 |\n| 416 | 52 | 1.0031 | 1.0048 | 1.0 |",0]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 50 | 16 | 1.0642 | 1.0156 | 1.0 |\n| 50 | 16 | 1.127 | 1.0363 | 1.0 |\n| 50 | 16 | 1.1968 | 1.0258 | 1.0 |\n| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |\n| 50 | 25 | 1.1167 | 1.006 | 1.0028 |\n| 50 | 25 | 1.2206 | 1.0393 | 1.0 |\n| 50 | 25 | 1.3246 | 1.0277 | 1.0 |\n| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |\n| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |\n| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |\n| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |\n| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |\n| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |","| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |\n| --- | --- | --- | --- | --- |\n| 1000 | 100 | 1.0055 | 1.0101 | 1.0 |",1]
["| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 50 | 16 | 1.0642 | 1.0156 | 1.0 |\n| 50 | 16 | 1.127 | 1.0363 | 1.0 |\n| 50 | 16 | 1.1968 | 1.0258 | 1.0 |\n| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |\n| 50 | 25 | 1.1167 | 1.006 | 1.0028 |\n| 50 | 25 | 1.2206 | 1.0393 | 1.0 |\n| 50 | 25 | 1.3246 | 1.0277 | 1.0 |\n| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |\n| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |\n| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |\n| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |\n| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |\n| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |","| 160 | 40 | 1.065 | 1.0063 | 1.0 |\n| --- | --- | --- | --- | --- |\n| 208 | 52 | 2.2537 | 1.074 | 1.019 |\n| 240 | 60 | 1.0083 | 1.0045 | 1.0001 |\n| 300 | 75 | 1.8088 | 1.0478 | 1.0006 |\n| 312 | 52 | 1.7593 | 1.0475 | 1.0008 |\n| 320 | 32 | 1.0972 | 1.0015 | 1.0 |\n| 400 | 100 | 1.0058 | 1.0048 | 1.0 |\n| 416 | 52 | 1.0031 | 1.0048 | 1.0 |",0]
["| term | Estimate | SE | t-statistic | p-value | WaldF-<br>statistic |\n| --- | --- | --- | --- | --- | --- |\n| (Intercept) | 3.65038 | 0.17320 | 21.07635 | 0.00000 | 458.0979 |\n| Gender=“female” | -0.25473 | 0.39445 | -0.64578 | 0.55320 | 0.3529552 |\n| log(citationcount) | -0.10303 | 0.13286 | -0.77546 | 0.44722 | 0.5802456 |","| Seniority(years) | 0.09651 | 0.13090 | 0.73728 | 0.46689 | 0.5316029 |\n| --- | --- | --- | --- | --- | --- |\n| Framing=“ﬁxedprobabilities” | -0.34076 | 0.16811 | -2.02704 | 0.04414 | 4.109484 |\n| Region=“Europe” | 0.51848 | 0.21523 | 2.40898 | 0.01582 | 5.93565 |\n| Region=“M.East” | -0.22763 | 0.37091 | -0.61369 | 0.54430 | 0.3690532 |\n| Region=“N.America” | 1.04974 | 0.20849 | 5.03496 | 0.00000 | 25.32004 |\n| Region=“Other” | -0.26700 | 0.58311 | -0.45788 | 0.63278 | 0.2291022 |",1]
["| term | Estimate | SE | t-statistic | p-value | WaldF-<br>statistic |\n| --- | --- | --- | --- | --- | --- |\n| (Intercept) | 3.65038 | 0.17320 | 21.07635 | 0.00000 | 458.0979 |\n| Gender=“female” | -0.25473 | 0.39445 | -0.64578 | 0.55320 | 0.3529552 |\n| log(citationcount) | -0.10303 | 0.13286 | -0.77546 | 0.44722 | 0.5802456 |","| Year | p(citations) | p(readership) | Total |\n| --- | --- | --- | --- |\n| 1999 | 0.3738 | 0.1951 | 8 |\n| 2000 | 0.1706 | 0.0555 | 10 |\n| 2001 | 0.1988 | 0.3102 | 15 |\n| 2003 | 0.1096 | 0.3459 | 9 |\n| 2004 | 0.4157 | 0.1629 | 10 |\n| 2005 | 0.2115 | 0.3178 | 17 |\n| 2006 | 0.3230 | 0.2259 | 14 |\n| 2007 | 0.1570 | 0.1482 | 15 |\n| 2008 | 0.2112 | 0.4029 | 14 |\n| 2009 | 0.1199 | 0.0531 | 11 |\n| 2010 | 0.1098 | 0.3501 | 21 |\n| 2011 | 0.2064 | 0.2207 | 18 |\n| 2012 | 0.1154 | 0.4622 | 17 |\n| 2013 | 0.4370 | 0.1918 | 19 |\n| 2014 | 0.2785 | 0.0731 | 13 |\n| 2015 | 0.4661 | 0.1684 | 11 |\n| 2016 | 0.0842 | 0.3098 | 17 |\n| Total | - | - | 239 |",0]
["| term | Estimate | SE | t-statistic | p-value | WaldF-<br>statistic |\n| --- | --- | --- | --- | --- | --- |\n| (Intercept) | 3.65038 | 0.17320 | 21.07635 | 0.00000 | 458.0979 |\n| Gender=“female” | -0.25473 | 0.39445 | -0.64578 | 0.55320 | 0.3529552 |","| log(citationcount) | -0.10303 | 0.13286 | -0.77546 | 0.44722 | 0.5802456 |\n| --- | --- | --- | --- | --- | --- |\n| Seniority(years) | 0.09651 | 0.13090 | 0.73728 | 0.46689 | 0.5316029 |\n| Framing=“ﬁxedprobabilities” | -0.34076 | 0.16811 | -2.02704 | 0.04414 | 4.109484 |\n| Region=“Europe” | 0.51848 | 0.21523 | 2.40898 | 0.01582 | 5.93565 |\n| Region=“M.East” | -0.22763 | 0.37091 | -0.61369 | 0.54430 | 0.3690532 |\n| Region=“N.America” | 1.04974 | 0.20849 | 5.03496 | 0.00000 | 25.32004 |\n| Region=“Other” | -0.26700 | 0.58311 | -0.45788 | 0.63278 | 0.2291022 |",1]
["| term | Estimate | SE | t-statistic | p-value | WaldF-<br>statistic |\n| --- | --- | --- | --- | --- | --- |\n| (Intercept) | 3.65038 | 0.17320 | 21.07635 | 0.00000 | 458.0979 |\n| Gender=“female” | -0.25473 | 0.39445 | -0.64578 | 0.55320 | 0.3529552 |","| 2015 | 0.4661 | 0.1684 | 11 |\n| --- | --- | --- | --- |\n| 2016 | 0.0842 | 0.3098 | 17 |\n| Total | - | - | 239 |",0]
["| MeanRank |  |  |\n| --- | --- | --- |\n| 210 | 119 | 48.5 |\n| 212 | 87 | 45.7 |\n| 167 | 39 | 51.7 |\n| 200 | 113 | 44.3 |\n| 181 | 93 | 49.6 |","| 213 | 113 | 52.0 |\n| --- | --- | --- |\n| 188 | 85 | 53.5 |\n| MeanRank |  |  |\n| 263 | 251 | 75.4 |\n| 401 | 338 | 73.0 |\n| 312 | 193 | 81.3 |\n| 168 | 156 | 81.2 |",1]
["| MeanRank |  |  |\n| --- | --- | --- |\n| 210 | 119 | 48.5 |\n| 212 | 87 | 45.7 |\n| 167 | 39 | 51.7 |\n| 200 | 113 | 44.3 |\n| 181 | 93 | 49.6 |","| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 | rule |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 77.80 | 63.41 | 51.43 | 81.72 | 81.49 | 76.23 | 81.41 | 78.60 | 81.49 | 81.49 |\n| 2 | 14.68 | 10.87 | 2.08 | 16.18 | 15.95 | 14.68 | 16.07 | 16.07 | 15.95 | 15.95 |\n| 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |\n| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |\n| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |\n| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |\n| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |\n| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |\n| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |\n| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |\n| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |\n| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |\n| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 |",0]
["| MeanRank |  |  |\n| --- | --- | --- |\n| 210 | 119 | 48.5 |\n| 212 | 87 | 45.7 |\n| 167 | 39 | 51.7 |","| 200 | 113 | 44.3 |\n| --- | --- | --- |\n| 181 | 93 | 49.6 |\n| 213 | 113 | 52.0 |\n| 188 | 85 | 53.5 |\n| MeanRank |  |  |\n| 263 | 251 | 75.4 |\n| 401 | 338 | 73.0 |\n| 312 | 193 | 81.3 |\n| 168 | 156 | 81.2 |",1]
["| MeanRank |  |  |\n| --- | --- | --- |\n| 210 | 119 | 48.5 |\n| 212 | 87 | 45.7 |\n| 167 | 39 | 51.7 |","| 2 | 14.68 | 10.87 | 2.08 | 16.18 | 15.95 | 14.68 | 16.07 | 16.07 | 15.95 | 15.95 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |\n| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |\n| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |\n| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |\n| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |\n| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |\n| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |\n| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |\n| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |\n| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |\n| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 |",0]
["|  | JavaSHA1PRNG | DRBG-SHA1 | DRBG-SHA256(1000) | DRBG-SHA256(10000) |\n| --- | --- | --- | --- | --- |\n| ∆wlil,0.1 | 0.140 | 0.194 | 0.200 | 0.045 |\n| ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |","| RMSDwlil,0.1 | 0.004647 | 0.003741 | 0.004984 | 0.00118 |\n| --- | --- | --- | --- | --- |\n| RMSDwlil,0.05 | 0.004042 | 0.003023 | 0.004423 | 0.001107 |",1]
["|  | JavaSHA1PRNG | DRBG-SHA1 | DRBG-SHA256(1000) | DRBG-SHA256(10000) |\n| --- | --- | --- | --- | --- |\n| ∆wlil,0.1 | 0.140 | 0.194 | 0.200 | 0.045 |\n| ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |","|  | Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |\n| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |  |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |  |",0]
["|  | JavaSHA1PRNG | DRBG-SHA1 | DRBG-SHA256(1000) | DRBG-SHA256(10000) |\n| --- | --- | --- | --- | --- |\n| ∆wlil,0.1 | 0.140 | 0.194 | 0.200 | 0.045 |\n| ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |","| RMSDwlil,0.1 | 0.004647 | 0.003741 | 0.004984 | 0.00118 |\n| --- | --- | --- | --- | --- |\n| RMSDwlil,0.05 | 0.004042 | 0.003023 | 0.004423 | 0.001107 |",1]
["|  | JavaSHA1PRNG | DRBG-SHA1 | DRBG-SHA256(1000) | DRBG-SHA256(10000) |\n| --- | --- | --- | --- | --- |\n| ∆wlil,0.1 | 0.140 | 0.194 | 0.200 | 0.045 |\n| ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |","| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |  |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |  |",0]
["| Methods | Magniﬁcationfactorα |  |  |\n| --- | --- | --- | --- |\n| 2 | 4 | 6 | 8 |","| Bicubic | 5.96 | 6.95 | 7.15 | 7.21 |\n| --- | --- | --- | --- | --- |\n| AAMs | 6.13 | 6.33 | 6.44 | 6.69 |\n| DAMs | 5.91 | 6.00 | 6.11 | 6.21 |",1]
["| Methods | Magniﬁcationfactorα |  |  |\n| --- | --- | --- | --- |\n| 2 | 4 | 6 | 8 |","| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| S-extract | 81.84 | 82.07 | 67.51 | 69.25 | 78.31 |\n| M-extract | 84.98 | 89.89 | 81.41 | 81.03 | 85.29 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |",0]
["| Methods | Magniﬁcationfactorα |  |  |  |\n| --- | --- | --- | --- | --- |\n| 2 | 4 | 6 | 8 |  |\n| Bicubic | 5.96 | 6.95 | 7.15 | 7.21 |","| AAMs | 6.13 | 6.33 | 6.44 | 6.69 |\n| --- | --- | --- | --- | --- |\n| DAMs | 5.91 | 6.00 | 6.11 | 6.21 |",1]
["| Methods | Magniﬁcationfactorα |  |  |  |\n| --- | --- | --- | --- | --- |\n| 2 | 4 | 6 | 8 |  |\n| Bicubic | 5.96 | 6.95 | 7.15 | 7.21 |","| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |\n| --- | --- | --- | --- | --- | --- |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |",0]
["| Label | Numberofimages |\n| --- | --- |\n| Neutral | 3501 |\n| Happy | 7130 |\n| Sad | 3128 |\n| Surprise | 1439 |\n| Fear | 1307 |\n| Disgust | 702 |","| Anger | 2355 |\n| --- | --- |\n| None | 403 |\n| Uncertain | 280 |\n| No-face | 3755 |",1]
["| Label | Numberofimages |\n| --- | --- |\n| Neutral | 3501 |\n| Happy | 7130 |\n| Sad | 3128 |\n| Surprise | 1439 |\n| Fear | 1307 |\n| Disgust | 702 |","| Expression | Number |\n| --- | --- |\n| Neutral | 80,276 |\n| Happy | 146,198 |\n| Sad | 29,487 |\n| Surprise | 16,288 |\n| Fear | 8,191 |\n| Disgust | 5,264 |\n| Anger | 28,130 |\n| Contempt | 5,135 |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",0]
["| Label | Numberofimages |\n| --- | --- |\n| Neutral | 3501 |\n| Happy | 7130 |","| Sad | 3128 |\n| --- | --- |\n| Surprise | 1439 |\n| Fear | 1307 |\n| Disgust | 702 |\n| Anger | 2355 |\n| None | 403 |\n| Uncertain | 280 |\n| No-face | 3755 |",1]
["| Label | Numberofimages |\n| --- | --- |\n| Neutral | 3501 |\n| Happy | 7130 |","| Contempt | 5,135 |\n| --- | --- |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",0]
["| Item | Quantity |\n| --- | --- |\n| 3mmx10mmboltandnut | 29 |","| 32mmx2mmsteelbar | 7 |\n| --- | --- |\n| 2x6x2.5mmballbearing | 8 |\n| 10mmx100mmwoodenbar | 1 |",1]
["| Item | Quantity |\n| --- | --- |\n| 3mmx10mmboltandnut | 29 |","| Item | NormalizedDecayedWeight |\n| --- | --- |\n| 2 | 198.08 |\n| 3 | 96.16 |\n| 5 | 72.15 |\n| 6 | 37.04 |",0]
["| Item | Quantity |\n| --- | --- |\n| 3mmx10mmboltandnut | 29 |","| 32mmx2mmsteelbar | 7 |\n| --- | --- |\n| 2x6x2.5mmballbearing | 8 |\n| 10mmx100mmwoodenbar | 1 |",1]
["| Item | Quantity |\n| --- | --- |\n| 3mmx10mmboltandnut | 29 |","| 3 | 96.16 |\n| --- | --- |\n| 5 | 72.15 |\n| 6 | 37.04 |",0]
["| algorithm | time<br>(min:sec.milisec) | sizeofthe<br>answerset |\n| --- | --- | --- |\n| a | 20:36.323 | 12 |\n| b | 2:31.217 | 12 |","| c | 0:10.139 | 3×2=6 |\n| --- | --- | --- |\n| d | 0:17.698 | 12×2=24 |",1]
["| algorithm | time<br>(min:sec.milisec) | sizeofthe<br>answerset |\n| --- | --- | --- |\n| a | 20:36.323 | 12 |\n| b | 2:31.217 | 12 |","| N | Int32 | Int64 | Float | Double |\n| --- | --- | --- | --- | --- |\n| 32M | 24.1 | 12.4 | 24.5 | 12.6 |\n| 64M | 24.8 | 12.6 | 25.1 | 12.9 |\n| 128M | 25.3 | 12.7 | 25.5 | 13.0 |\n| 256M | 25.5 | 12.7 | 25.6 | 13.0 |\n| 512M | 25.5 | 12.8 | 25.7 | 13.0 |",0]
["| algorithm | time<br>(min:sec.milisec) | sizeofthe<br>answerset |\n| --- | --- | --- |\n| a | 20:36.323 | 12 |\n| b | 2:31.217 | 12 |","| c | 0:10.139 | 3×2=6 |\n| --- | --- | --- |\n| d | 0:17.698 | 12×2=24 |",1]
["| algorithm | time<br>(min:sec.milisec) | sizeofthe<br>answerset |\n| --- | --- | --- |\n| a | 20:36.323 | 12 |\n| b | 2:31.217 | 12 |","| 64M | 24.8 | 12.6 | 25.1 | 12.9 |\n| --- | --- | --- | --- | --- |\n| 128M | 25.3 | 12.7 | 25.5 | 13.0 |\n| 256M | 25.5 | 12.7 | 25.6 | 13.0 |\n| 512M | 25.5 | 12.8 | 25.7 | 13.0 |",0]
["| 1(1024) | 2(512) |\n| --- | --- |\n| 2<br>Area(µm)Power(µW) | 2<br>Area(µm)Power(µW) |","| 243.5 | 749.8 |\n| --- | --- |\n| 639.4 | 10717.2 |\n| –– | 42462.1 |\n| 42457.1 | 44065.1 |",1]
["| 1(1024) | 2(512) |\n| --- | --- |\n| 2<br>Area(µm)Power(µW) | 2<br>Area(µm)Power(µW) |","| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| 1(1024) | 2(512) |\n| --- | --- |\n| 2<br>Area(µm)Power(µW) | 2<br>Area(µm)Power(µW) |\n| 243.5 | 749.8 |","| 639.4 | 10717.2 |\n| --- | --- |\n| –– | 42462.1 |\n| 42457.1 | 44065.1 |",1]
["| 1(1024) | 2(512) |\n| --- | --- |\n| 2<br>Area(µm)Power(µW) | 2<br>Area(µm)Power(µW) |\n| 243.5 | 749.8 |","| 8 | 8.24×10 | 200 | 1.81 |\n| --- | --- | --- | --- |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| Measures |  | DegComp | ¬DegComp |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | CVSIDS | ¬CVSIDS | CVSIDS | ¬CVSIDS |","| LBD | SIZE | 218 | 1 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| ¬SIZE | 1 | 1 | 1 | 1 |  |\n| ¬LBD | SIZE | 3 | 3 | 0 | 5 |\n| ¬SIZE | 3 | 5 | 1 | 44 |  |",1]
["| Measures |  | DegComp | ¬DegComp |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | CVSIDS | ¬CVSIDS | CVSIDS | ¬CVSIDS |","|  | Maxlength | Vocabulary | Classes | Documents | Test |\n| --- | --- | --- | --- | --- | --- |\n| MR | 64 | 18767 | 2 | 10662 | CV |\n| SST-1 | 61 | 17838 | 5 | 11855 |  |\n| SST-2 | 61 | 16190 | 2 | 9613 |  |\n| Subj | 128 | 21324 | 2 | 10000 | CV |\n| TREC | 45 | 8766 | 6 | 5952 |  |\n| CR | 113 | 5341 | 2 | 3775 | CV |\n| MPQA | 44 | 6248 | 2 | 10606 | CV |",0]
["| Measures |  | DegComp | ¬DegComp |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | CVSIDS | ¬CVSIDS | CVSIDS | ¬CVSIDS |\n| LBD | SIZE | 218 | 1 | 0 | 0 |","| ¬SIZE | 1 | 1 | 1 | 1 |  |\n| --- | --- | --- | --- | --- | --- |\n| ¬LBD | SIZE | 3 | 3 | 0 | 5 |\n| ¬SIZE | 3 | 5 | 1 | 44 |  |",1]
["| Measures |  | DegComp | ¬DegComp |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | CVSIDS | ¬CVSIDS | CVSIDS | ¬CVSIDS |\n| LBD | SIZE | 218 | 1 | 0 | 0 |","| Subj | 128 | 21324 | 2 | 10000 | CV |\n| --- | --- | --- | --- | --- | --- |\n| TREC | 45 | 8766 | 6 | 5952 |  |\n| CR | 113 | 5341 | 2 | 3775 | CV |\n| MPQA | 44 | 6248 | 2 | 10606 | CV |",0]
["| Circuit | No.of<br>Inputs | No.of<br>Gates | Time |\n| --- | --- | --- | --- |\n| c17 | 5 | 6 | 0.047s |\n|  |  |  |  |\n| voter | 12 | 59 | 0.641s |","| pc | 27 | 103 | 225.297s |\n| --- | --- | --- | --- |\n| count | 35 | 144 | 36.610s |\n| alu4 | 14 | 63 | 58.626s |\n| malu4 | 14 | 92 | 588.702s |",1]
["| Circuit | No.of<br>Inputs | No.of<br>Gates | Time |\n| --- | --- | --- | --- |\n| c17 | 5 | 6 | 0.047s |\n|  |  |  |  |\n| voter | 12 | 59 | 0.641s |","| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| Circuit | No.of<br>Inputs | No.of<br>Gates | Time |\n| --- | --- | --- | --- |\n| c17 | 5 | 6 | 0.047s |\n|  |  |  |  |\n| voter | 12 | 59 | 0.641s |","| pc | 27 | 103 | 225.297s |\n| --- | --- | --- | --- |\n| count | 35 | 144 | 36.610s |\n| alu4 | 14 | 63 | 58.626s |\n| malu4 | 14 | 92 | 588.702s |",1]
["| Circuit | No.of<br>Inputs | No.of<br>Gates | Time |\n| --- | --- | --- | --- |\n| c17 | 5 | 6 | 0.047s |\n|  |  |  |  |\n| voter | 12 | 59 | 0.641s |","| 39 | 780 | 766.1 | 0.98 |\n| --- | --- | --- | --- |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| Top1 | Top5 | acceleration |\n| --- | --- | --- |\n| 56.8 | 80.0 | - |","| 56.8 | 79.9 | 1.00 |\n| --- | --- | --- |\n| 44.2 | 69.2 | 58.0 |\n| 55.1 | 78.8 | 1.79 |",1]
["| Top1 | Top5 | acceleration |\n| --- | --- | --- |\n| 56.8 | 80.0 | - |","| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |\n| 3.175 |\n| 1.113 |",0]
["| Top1 | Top5 | acceleration |\n| --- | --- | --- |\n| 56.8 | 80.0 | - |\n| 56.8 | 79.9 | 1.00 |","| 44.2 | 69.2 | 58.0 |\n| --- | --- | --- |\n| 55.1 | 78.8 | 1.79 |",1]
["| Top1 | Top5 | acceleration |\n| --- | --- | --- |\n| 56.8 | 80.0 | - |\n| 56.8 | 79.9 | 1.00 |","| 4.572 |\n| --- |\n| 3.175 |\n| 1.113 |",0]
["| PMIscores(cid:100) | 28 | 15 | 9 | 5 |\n| --- | --- | --- | --- | --- |\n| MSD2V | 0.23 | 0.257 | 0.136 | 0.127 |","| WardBoW | 0.241 | 0.209 | 0.146 | 0.138 |\n| --- | --- | --- | --- | --- |\n| WardD2V | 0.212 | 0.156 | 0.1 | 0.071 |\n| LDA | 0.144 | 0.145 | 0.109 | 0.124 |",1]
["| PMIscores(cid:100) | 28 | 15 | 9 | 5 |\n| --- | --- | --- | --- | --- |\n| MSD2V | 0.23 | 0.257 | 0.136 | 0.127 |","| Objectiveevaluation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | SSIM | PSNR | MSE | MI | UIQI |\n| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |\n| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |\n| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |\n| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |\n| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |\n| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",0]
["| PMIscores(cid:100) | 28 | 15 | 9 | 5 |\n| --- | --- | --- | --- | --- |\n| MSD2V | 0.23 | 0.257 | 0.136 | 0.127 |","| WardBoW | 0.241 | 0.209 | 0.146 | 0.138 |\n| --- | --- | --- | --- | --- |\n| WardD2V | 0.212 | 0.156 | 0.1 | 0.071 |\n| LDA | 0.144 | 0.145 | 0.109 | 0.124 |",1]
["| PMIscores(cid:100) | 28 | 15 | 9 | 5 |\n| --- | --- | --- | --- | --- |\n| MSD2V | 0.23 | 0.257 | 0.136 | 0.127 |","| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| --- | --- | --- | --- | --- | --- |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 200519 | 531990 | 0,32 | 0,32 |\n| die | 6279 | 19646 | 0,38 | 0,48 |\n| der | 5934 | 19138 | 0,38 | 0,40 |\n| und | 1706 | 14015 | 0,40 | 0,37 |","| zu | 1535 | 6492 | 0,55 | 0,31 |\n| --- | --- | --- | --- | --- |\n| den | 1364 | 6196 | 0,35 | 0,44 |\n| eine | 1205 | 3775 | 0,50 | 0,43 |\n| ,daß | 1161 | 5274 | 0,37 | 0,37 |\n| des | 992 | 3945 | 0,44 | 0,35 |\n| ,die | 945 | 4645 | 0,46 | 0,48 |\n| das | 917 | 4298 | 0,41 | 0,45 |\n| nicht | 888 | 4192 | 0,46 | 0,40 |\n| von | 880 | 5038 | 0,43 | 0,35 |\n| ist | 608 | 4794 | 0,44 | 0,29 |\n| ein | 561 | 2242 | 0,48 | 0,45 |\n| wir | 558 | 4050 | 0,26 | 0,48 |\n| fu¨r | 542 | 4791 | 0,46 | 0,26 |\n| es | 438 | 3229 | 0,28 | 0,45 |\n| auf | 429 | 3808 | 0,47 | 0,27 |\n| auch | 398 | 3047 | 0,38 | 0,41 |\n| einer | 389 | 1621 | 0,41 | 0,45 |\n| mit | 367 | 3146 | 0,467 | 0,28 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 200519 | 531990 | 0,32 | 0,32 |\n| die | 6279 | 19646 | 0,38 | 0,48 |\n| der | 5934 | 19138 | 0,38 | 0,40 |\n| und | 1706 | 14015 | 0,40 | 0,37 |","| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 99742 | 246490 | 0.34 | 0.35 |\n| . | 3149 | 7935 | 0.41 | 0.44 |\n| [ | 2843 | 5748 | 0.37 | 0.35 |\n| die | 1606 | 5013 | 0.46 | 0.41 |\n| der | 1164 | 4883 | 0.41 | 0.39 |\n| das | 778 | 3238 | 0.44 | 0.39 |\n| [1]; | 649 | 1655 | 0.44 | 0.41 |\n| ? | 578 | 1847 | 0.44 | 0.44 |\n| & | 485 | 3932 | 0.43 | 0.38 |\n| eine | 466 | 1882 | 0.47 | 0.40 |\n| nicht | 460 | 2755 | 0.40 | 0.41 |\n| the | 460 | 1836 | 0.43 | 0.36 |\n| ein | 459 | 2028 | 0.45 | 0.39 |\n| daß | 409 | 2124 | 0.39 | 0.39 |\n| ” | 344 | 2166 | 0.31 | 0.53 |\n| ist | 343 | 2911 | 0.41 | 0.32 |\n| den | 301 | 1896 | 0.41 | 0.36 |\n| to | 295 | 1095 | 0.42 | 0.40 |\n| es | 290 | 2493 | 0.32 | 0.40 |\n| zu | 261 | 1905 | 0.52 | 0.28 |\n| so | 244 | 1662 | 0.47 | 0.36 |\n| ; | 237 | 1449 | 0.36 | 0.45 |\n| a | 237 | 1075 | 0.44 | 0.38 |\n| ( | 233 | 1883 | 0.53 | 0.24 |\n| von | 222 | 1606 | 0.47 | 0.32 |\n| of | 215 | 1054 | 0.36 | 0.44 |\n| that | 202 | 881 | 0.41 | 0.43 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 200519 | 531990 | 0,32 | 0,32 |\n| die | 6279 | 19646 | 0,38 | 0,48 |\n| der | 5934 | 19138 | 0,38 | 0,40 |\n| und | 1706 | 14015 | 0,40 | 0,37 |\n| zu | 1535 | 6492 | 0,55 | 0,31 |\n| den | 1364 | 6196 | 0,35 | 0,44 |\n| eine | 1205 | 3775 | 0,50 | 0,43 |\n| ,daß | 1161 | 5274 | 0,37 | 0,37 |\n| des | 992 | 3945 | 0,44 | 0,35 |\n| ,die | 945 | 4645 | 0,46 | 0,48 |\n| das | 917 | 4298 | 0,41 | 0,45 |\n| nicht | 888 | 4192 | 0,46 | 0,40 |\n| von | 880 | 5038 | 0,43 | 0,35 |\n| ist | 608 | 4794 | 0,44 | 0,29 |\n| ein | 561 | 2242 | 0,48 | 0,45 |","| wir | 558 | 4050 | 0,26 | 0,48 |\n| --- | --- | --- | --- | --- |\n| fu¨r | 542 | 4791 | 0,46 | 0,26 |\n| es | 438 | 3229 | 0,28 | 0,45 |\n| auf | 429 | 3808 | 0,47 | 0,27 |\n| auch | 398 | 3047 | 0,38 | 0,41 |\n| einer | 389 | 1621 | 0,41 | 0,45 |\n| mit | 367 | 3146 | 0,467 | 0,28 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 200519 | 531990 | 0,32 | 0,32 |\n| die | 6279 | 19646 | 0,38 | 0,48 |\n| der | 5934 | 19138 | 0,38 | 0,40 |\n| und | 1706 | 14015 | 0,40 | 0,37 |\n| zu | 1535 | 6492 | 0,55 | 0,31 |\n| den | 1364 | 6196 | 0,35 | 0,44 |\n| eine | 1205 | 3775 | 0,50 | 0,43 |\n| ,daß | 1161 | 5274 | 0,37 | 0,37 |\n| des | 992 | 3945 | 0,44 | 0,35 |\n| ,die | 945 | 4645 | 0,46 | 0,48 |\n| das | 917 | 4298 | 0,41 | 0,45 |\n| nicht | 888 | 4192 | 0,46 | 0,40 |\n| von | 880 | 5038 | 0,43 | 0,35 |\n| ist | 608 | 4794 | 0,44 | 0,29 |\n| ein | 561 | 2242 | 0,48 | 0,45 |","| nicht | 460 | 2755 | 0.40 | 0.41 |\n| --- | --- | --- | --- | --- |\n| the | 460 | 1836 | 0.43 | 0.36 |\n| ein | 459 | 2028 | 0.45 | 0.39 |\n| daß | 409 | 2124 | 0.39 | 0.39 |\n| ” | 344 | 2166 | 0.31 | 0.53 |\n| ist | 343 | 2911 | 0.41 | 0.32 |\n| den | 301 | 1896 | 0.41 | 0.36 |\n| to | 295 | 1095 | 0.42 | 0.40 |\n| es | 290 | 2493 | 0.32 | 0.40 |\n| zu | 261 | 1905 | 0.52 | 0.28 |\n| so | 244 | 1662 | 0.47 | 0.36 |\n| ; | 237 | 1449 | 0.36 | 0.45 |\n| a | 237 | 1075 | 0.44 | 0.38 |\n| ( | 233 | 1883 | 0.53 | 0.24 |\n| von | 222 | 1606 | 0.47 | 0.32 |\n| of | 215 | 1054 | 0.36 | 0.44 |\n| that | 202 | 881 | 0.41 | 0.43 |",0]
["| PMI | GloVe | skipgram |\n| --- | --- | --- |\n| service |  |  |\n| services(1)<br>network(2)<br>operates(8)<br>launched(18)<br>served(22)<br>intercity(34) | services(1)<br>operated(3)<br>serving(6)<br>military(17)<br>duty(20)<br>passenger(21)<br>dialaride(644)<br>aftersales(759)<br>limitedstop(802) | services(1) |","| bad |  |  |\n| --- | --- | --- |\n| terrible(1)<br>that(2)<br>luck(39)<br>unfortunate(70)<br>stalling(276)<br>donnersbergkreis(860)<br>rancid(980) | good(1)<br>kissingen(2)<br>ugly(45)<br>nasty(48)<br>dirty(106)<br>omen(328)<br>conkers(360)<br>karma(952) | nauheim(1)<br>good(2)<br>dreadful(5) |\n| above |  |  |\n| below(1)<br>around(2)<br>feet(5)<br>measuring(29)<br>beneath(36)<br>columns(62)<br>atop(102) | below(1)<br>level(2)<br>height(3)<br>just(4)<br>stands(10)<br>lower(11)<br>beneath(12)<br>rise(21)<br>sea(30)<br>.<br>.<br>. | below(1)<br>500ft(2) |",1]
["| PMI | GloVe | skipgram |\n| --- | --- | --- |\n| service |  |  |\n| services(1)<br>network(2)<br>operates(8)<br>launched(18)<br>served(22)<br>intercity(34) | services(1)<br>operated(3)<br>serving(6)<br>military(17)<br>duty(20)<br>passenger(21)<br>dialaride(644)<br>aftersales(759)<br>limitedstop(802) | services(1) |","| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |\n| --- | --- | --- | --- | --- | --- | --- |\n| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |\n| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |\n| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |\n| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |\n| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |\n| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |\n| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",0]
["| PMI | GloVe | skipgram |\n| --- | --- | --- |\n| service |  |  |\n| services(1)<br>network(2)<br>operates(8)<br>launched(18)<br>served(22)<br>intercity(34) | services(1)<br>operated(3)<br>serving(6)<br>military(17)<br>duty(20)<br>passenger(21)<br>dialaride(644)<br>aftersales(759)<br>limitedstop(802) | services(1) |\n| bad |  |  |\n| terrible(1)<br>that(2)<br>luck(39)<br>unfortunate(70)<br>stalling(276)<br>donnersbergkreis(860)<br>rancid(980) | good(1)<br>kissingen(2)<br>ugly(45)<br>nasty(48)<br>dirty(106)<br>omen(328)<br>conkers(360)<br>karma(952) | nauheim(1)<br>good(2)<br>dreadful(5) |","| above |  |  |\n| --- | --- | --- |\n| below(1)<br>around(2)<br>feet(5)<br>measuring(29)<br>beneath(36)<br>columns(62)<br>atop(102) | below(1)<br>level(2)<br>height(3)<br>just(4)<br>stands(10)<br>lower(11)<br>beneath(12)<br>rise(21)<br>sea(30)<br>.<br>.<br>. | below(1)<br>500ft(2) |",1]
["| PMI | GloVe | skipgram |\n| --- | --- | --- |\n| service |  |  |\n| services(1)<br>network(2)<br>operates(8)<br>launched(18)<br>served(22)<br>intercity(34) | services(1)<br>operated(3)<br>serving(6)<br>military(17)<br>duty(20)<br>passenger(21)<br>dialaride(644)<br>aftersales(759)<br>limitedstop(802) | services(1) |\n| bad |  |  |\n| terrible(1)<br>that(2)<br>luck(39)<br>unfortunate(70)<br>stalling(276)<br>donnersbergkreis(860)<br>rancid(980) | good(1)<br>kissingen(2)<br>ugly(45)<br>nasty(48)<br>dirty(106)<br>omen(328)<br>conkers(360)<br>karma(952) | nauheim(1)<br>good(2)<br>dreadful(5) |","| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",0]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |","| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| --- | --- | --- | --- | --- | --- |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) |",1]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |","| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |\n| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 46.30(45.81,47.09) | 85.42(85.13,85.23) | 93.23(93.09,93.37) | 91.38(91.18,91.59) | 84.36(84.06,84.70) |",0]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |","| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| --- | --- | --- | --- | --- | --- |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |\n| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) |",1]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |","| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| --- | --- | --- | --- | --- | --- |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 46.30(45.81,47.09) | 85.42(85.13,85.23) | 93.23(93.09,93.37) | 91.38(91.18,91.59) | 84.36(84.06,84.70) |",0]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 18.62 | 19.12 | 20.07 | 19.27 |\n| LTP | 20.21 | 21.39 | 22.99 | 21.53 |\n| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |\n| POEM | 29.99 | 30.60 | 31.46 | 30.68 |\n| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |\n| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |","| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |\n| --- | --- | --- | --- | --- |\n| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |\n| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |\n| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |\n| DCP | 21.78 | 22.49 | 23.59 | 22.62 |",1]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 18.62 | 19.12 | 20.07 | 19.27 |\n| LTP | 20.21 | 21.39 | 22.99 | 21.53 |\n| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |\n| POEM | 29.99 | 30.60 | 31.46 | 30.68 |\n| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |\n| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |","|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 89.93 | 87.53 | 84.83 | 87.43 |\n| LTP | 90.98 | 88.63 | 86.07 | 88.56 |\n| LPQ | 89.96 | 87.38 | 84.48 | 87.27 |\n| POEM | 90.60 | 88.26 | 85.63 | 88.16 |\n| LGXP | 91.89 | 88.80 | 85.33 | 88.67 |\n| MsLBP | 90.78 | 88.45 | 85.87 | 88.37 |\n| MsTLBP | 93.24 | 91.16 | 88.83 | 91.08 |\n| MsDLBP | 87.65 | 84.93 | 81.96 | 84.85 |\n| DCP-1 | 91.40 | 89.14 | 86.65 | 89.06 |\n| DCP-2 | 92.96 | 90.78 | 88.42 | 90.72 |\n| DCP | 93.22 | 91.21 | 88.93 | 91.12 |",0]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 18.62 | 19.12 | 20.07 | 19.27 |\n| LTP | 20.21 | 21.39 | 22.99 | 21.53 |\n| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |\n| POEM | 29.99 | 30.60 | 31.46 | 30.68 |","| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |\n| --- | --- | --- | --- | --- |\n| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |\n| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |\n| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |\n| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |\n| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |\n| DCP | 21.78 | 22.49 | 23.59 | 22.62 |",1]
["|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 18.62 | 19.12 | 20.07 | 19.27 |\n| LTP | 20.21 | 21.39 | 22.99 | 21.53 |\n| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |\n| POEM | 29.99 | 30.60 | 31.46 | 30.68 |","| LGXP | 91.89 | 88.80 | 85.33 | 88.67 |\n| --- | --- | --- | --- | --- |\n| MsLBP | 90.78 | 88.45 | 85.87 | 88.37 |\n| MsTLBP | 93.24 | 91.16 | 88.83 | 91.08 |\n| MsDLBP | 87.65 | 84.93 | 81.96 | 84.85 |\n| DCP-1 | 91.40 | 89.14 | 86.65 | 89.06 |\n| DCP-2 | 92.96 | 90.78 | 88.42 | 90.72 |\n| DCP | 93.22 | 91.21 | 88.93 | 91.12 |",0]
["|  | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |\n| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |\n| Eﬀusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 |","| Inﬁltration | 0.6089 | 0.695 | 0.7204 | 0.67 | 0.666 | 0.6923 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Mass | 0.7057 | 0.792 | 0.8618 | 0.6964 | 0.7137 | 0.7502 |\n| Nodule | 0.6706 | 0.717 | 0.7766 | 0.6134 | 0.6023 | 0.6662 |\n| Pneumonia | 0.6326 | 0.713 | 0.7632 | 0.55108 | 0.6073 | 0.7145 |\n| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 |\n| Consolidation | 0.7078 | 0.788 | 0.7939 | 0.7606 | 0.7324 | 0.7838 |\n| Edema | 0.8345 | 0.882 | 0.8932 | 0.8669 | 0.8563 | 0.8880 |\n| Emphysema | 0.8149 | 0.829 | 0.926 | 0.8474 | 0.8993 | 0.8982 |\n| Fibrosis | 0.7688 | 0.767 | 0.8044 | 0.7236 | 0.7171 | 0.7559 |\n| PT | 0.7082 | 0.765 | 0.8138 | 0.7405 | 0.7388 | 0.7739 |\n| Hernia | 0.7667 | 0.914 | 0.9387 | 0.7122 | 0.898 | 0.8024 |",1]
["|  | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |\n| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |\n| Eﬀusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 |","| T(IoU) | Atelectasis | Cardiomegaly | Eﬀusion | Inﬁltration | Mass | Nodule |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.6888 | 0.9383 | 0.6601 | 0.7073 | 0.4000 | 0.1392 |\n| AFP | 0.8943 | 0.5996 | 0.8343 | 0.6250 | 0.6666 | 0.6077 |\n| Acc. | 0.4722 | 0.6849 | 0.4509 | 0.4796 | 0.2588 | 0.0506 |\n| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |\n| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |\n| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |\n| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |\n| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |\n| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |\n| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |\n| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |\n| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |\n| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |\n| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 |",0]
["|  | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |\n| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |\n| Eﬀusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 |\n| Inﬁltration | 0.6089 | 0.695 | 0.7204 | 0.67 | 0.666 | 0.6923 |\n| Mass | 0.7057 | 0.792 | 0.8618 | 0.6964 | 0.7137 | 0.7502 |\n| Nodule | 0.6706 | 0.717 | 0.7766 | 0.6134 | 0.6023 | 0.6662 |\n| Pneumonia | 0.6326 | 0.713 | 0.7632 | 0.55108 | 0.6073 | 0.7145 |\n| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 |","| Consolidation | 0.7078 | 0.788 | 0.7939 | 0.7606 | 0.7324 | 0.7838 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Edema | 0.8345 | 0.882 | 0.8932 | 0.8669 | 0.8563 | 0.8880 |\n| Emphysema | 0.8149 | 0.829 | 0.926 | 0.8474 | 0.8993 | 0.8982 |\n| Fibrosis | 0.7688 | 0.767 | 0.8044 | 0.7236 | 0.7171 | 0.7559 |\n| PT | 0.7082 | 0.765 | 0.8138 | 0.7405 | 0.7388 | 0.7739 |\n| Hernia | 0.7667 | 0.914 | 0.9387 | 0.7122 | 0.898 | 0.8024 |",1]
["|  | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |\n| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |\n| Eﬀusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 |\n| Inﬁltration | 0.6089 | 0.695 | 0.7204 | 0.67 | 0.666 | 0.6923 |\n| Mass | 0.7057 | 0.792 | 0.8618 | 0.6964 | 0.7137 | 0.7502 |\n| Nodule | 0.6706 | 0.717 | 0.7766 | 0.6134 | 0.6023 | 0.6662 |\n| Pneumonia | 0.6326 | 0.713 | 0.7632 | 0.55108 | 0.6073 | 0.7145 |\n| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 |","| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |\n| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |\n| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |\n| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |\n| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |\n| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |\n| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |\n| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |\n| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |\n| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 |",0]
["| S.No. | Description |\n| --- | --- |\n| Q1 | MyPLTLgroupwasfriendlytoday |\n| Q2 | MyPLTLgroupwasengagingtoday |\n| Q3 | MyPLTLgroupwashelpfultoday |\n| Q4 | MyPLTLgroupwasmotivatedtoday |","| Q5 | Ilearnedalotintoday’sPLTLsession |\n| --- | --- |\n| Q6 | IfeltcomfortablewiththeinteractionwithmyPLTLgrouptoday |\n| Q7 | Myparticipationintoday’sPLTLsessionincreasedmyconﬁdenceinthecourse |\n| Q8 | Overall,thePLTLsessionsarehelpingmedobetterinmycourse |",1]
["| S.No. | Description |\n| --- | --- |\n| Q1 | MyPLTLgroupwasfriendlytoday |\n| Q2 | MyPLTLgroupwasengagingtoday |\n| Q3 | MyPLTLgroupwashelpfultoday |\n| Q4 | MyPLTLgroupwasmotivatedtoday |","| # | Question |\n| --- | --- |\n| Q1 | Whichartworksdoyouprefer? |\n| Q2 | Whatisyourpreferenceontheartworks? |\n| Q3 | Whatdidyoubecomeawareofonyourpreference? |\n| Q4 | Whatdidyoubecomeawareofonyourpreference? |\n| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |\n| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |\n| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |\n| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? |",0]
["| S.No. | Description |\n| --- | --- |\n| Q1 | MyPLTLgroupwasfriendlytoday |\n| Q2 | MyPLTLgroupwasengagingtoday |\n| Q3 | MyPLTLgroupwashelpfultoday |\n| Q4 | MyPLTLgroupwasmotivatedtoday |\n| Q5 | Ilearnedalotintoday’sPLTLsession |\n| Q6 | IfeltcomfortablewiththeinteractionwithmyPLTLgrouptoday |","| Q7 | Myparticipationintoday’sPLTLsessionincreasedmyconﬁdenceinthecourse |\n| --- | --- |\n| Q8 | Overall,thePLTLsessionsarehelpingmedobetterinmycourse |",1]
["| S.No. | Description |\n| --- | --- |\n| Q1 | MyPLTLgroupwasfriendlytoday |\n| Q2 | MyPLTLgroupwasengagingtoday |\n| Q3 | MyPLTLgroupwashelpfultoday |\n| Q4 | MyPLTLgroupwasmotivatedtoday |\n| Q5 | Ilearnedalotintoday’sPLTLsession |\n| Q6 | IfeltcomfortablewiththeinteractionwithmyPLTLgrouptoday |","| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |\n| --- | --- |\n| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |\n| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? |",0]
["| Viewpoint | F | R | S | FS | RS |\n| --- | --- | --- | --- | --- | --- |\n|  | meandiﬀerence |  |  |  |  |\n| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 |","|  | classiﬁcationaccuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Doornumber<br>Seatnumber<br>Cartype | 0.674<br>0.672<br>0.541 | 0.748<br>0.691<br>0.585 | 0.837<br>0.711<br>0.627 | 0.738<br>0.660<br>0.571 | 0.788<br>0.700<br>0.612 |",1]
["| Viewpoint | F | R | S | FS | RS |\n| --- | --- | --- | --- | --- | --- |\n|  | meandiﬀerence |  |  |  |  |\n| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Viewpoint | F | R | S | FS | RS |\n| --- | --- | --- | --- | --- | --- |\n|  | meandiﬀerence |  |  |  |  |\n| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 |","|  | classiﬁcationaccuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Doornumber<br>Seatnumber<br>Cartype | 0.674<br>0.672<br>0.541 | 0.748<br>0.691<br>0.585 | 0.837<br>0.711<br>0.627 | 0.738<br>0.660<br>0.571 | 0.788<br>0.700<br>0.612 |",1]
["| Viewpoint | F | R | S | FS | RS |\n| --- | --- | --- | --- | --- | --- |\n|  | meandiﬀerence |  |  |  |  |\n| Maximumspeed<br>(meanguess)<br>Displacement<br>(meanguess) | 20.8<br>38.0<br>0.811<br>1.04 | 21.3<br>38.5<br>0.752<br>0.922 | 20.4<br>39.4<br>0.795<br>1.04 | 20.1<br>40.2<br>0.875<br>1.13 | 21.3<br>40.1<br>0.822<br>1.08 |","| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| --- | --- | --- |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n|  | nData=10 |  |  |","| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| --- | --- | --- | --- |\n| Baseline | 0.90±0.21 | 0.93±0.14 | 0.8933±0.15 |\n| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n|  | nData=10 |  |  |","| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |\n| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |\n| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |\n|  | nData=10 |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |\n| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n|  | nData=10 |  |  |\n| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |","| Baseline | 0.90±0.21 | 0.93±0.14 | 0.8933±0.15 |\n| --- | --- | --- | --- |\n| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n|  | nData=10 |  |  |\n| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |","| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |\n| --- | --- | --- | --- |\n| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |\n|  | nData=10 |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |\n| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 |",0]
["| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |","| VAE | 2 | 0.52 | 0.12 |\n| --- | --- | --- | --- |\n| VAE | 4 | 0.51 | 0.13 |",1]
["| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |","| Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |\n| --- | --- | --- | --- |\n| Ours | 1 | 6.71 | 1.79 |\n| Ours | 2 | 6.74 | 1.73 |\n| Ours | 4 | 6.82 | 1.81 |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |\n| Slow | 4 | 6.38 | 1.39 |\n| VAE | 1 | 1.08 | 1.27 |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",0]
["| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |","| Ours | 4 | 0.82 | 0.69 |\n| --- | --- | --- | --- |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",1]
["| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |","| VAE | 1 | 1.08 | 1.27 |\n| --- | --- | --- | --- |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",0]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |","| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",1]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |","| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",0]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |","| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",1]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |","| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",0]
["|  | split1 | split2 | split3 | average |\n| --- | --- | --- | --- | --- |\n| spatial | 54.3 | 50.2 | 50.4 | 51.6 |\n| motion | 62.3 | 63.5 | 64.2 | 63.3 |\n| correlation | 66.6 | 65.8 | 65.5 | 66 |\n| s+m | 69.9 | 67.1 | 67.1 | 68 |","| avg(s,m)+corr | 70.6 | 67.9 | 67.8 | 68.8 |\n| --- | --- | --- | --- | --- |\n| s+m+corr | 70.6 | 67.9 | 68.1 | 69 |",1]
["|  | split1 | split2 | split3 | average |\n| --- | --- | --- | --- | --- |\n| spatial | 54.3 | 50.2 | 50.4 | 51.6 |\n| motion | 62.3 | 63.5 | 64.2 | 63.3 |\n| correlation | 66.6 | 65.8 | 65.5 | 66 |\n| s+m | 69.9 | 67.1 | 67.1 | 68 |","| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |\n| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |\n| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |\n| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |\n| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |\n| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |\n| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |\n| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |\n| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |\n| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |\n| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |\n| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 |",0]
["|  | split1 | split2 | split3 | average |\n| --- | --- | --- | --- | --- |\n| spatial | 54.3 | 50.2 | 50.4 | 51.6 |\n| motion | 62.3 | 63.5 | 64.2 | 63.3 |\n| correlation | 66.6 | 65.8 | 65.5 | 66 |","| s+m | 69.9 | 67.1 | 67.1 | 68 |\n| --- | --- | --- | --- | --- |\n| avg(s,m)+corr | 70.6 | 67.9 | 67.8 | 68.8 |\n| s+m+corr | 70.6 | 67.9 | 68.1 | 69 |",1]
["|  | split1 | split2 | split3 | average |\n| --- | --- | --- | --- | --- |\n| spatial | 54.3 | 50.2 | 50.4 | 51.6 |\n| motion | 62.3 | 63.5 | 64.2 | 63.3 |\n| correlation | 66.6 | 65.8 | 65.5 | 66 |","| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |\n| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |\n| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |\n| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |\n| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |\n| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |\n| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |\n| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |\n| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 |",0]
["| Source | Destination | Throughput(Mb/s) | LLPR |\n| --- | --- | --- | --- |\n| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 |","| Chicago,IL | Pasadena,CA | 550 | 0.83 |\n| --- | --- | --- | --- |\n| Chicago,IL | Greenbelt,MD | 615 | 0.98 |\n| Chicago,IL | Tokyo,Japan | 490 | 0.61 |\n| Tokyo,Japan | Pasadena,CA | 550 | 0.83 |\n| Tokyo,Japan | Chicago,IL | 460 | 0.67 |",1]
["| Source | Destination | Throughput(Mb/s) | LLPR |\n| --- | --- | --- | --- |\n| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 |","| VMPaddress | Time<br>Aware | Shortest<br>Path |\n| --- | --- | --- |\n| viaAeroporto | 0.4604 | 0.4602 |\n| viaCascine | 0.3376 | 0.3178 |\n| viadiCisanello | 0.5880 | 0.5758 |\n| viaToscoRomagnola | 0.4511 | 0.4527 |\n| viaBrennero | 0.4770 | 0.4823 |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |\n| viaEmilia | 0.7050 | 0.6868 |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",0]
["| Source | Destination | Throughput(Mb/s) | LLPR |\n| --- | --- | --- | --- |\n| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 |","| Chicago,IL | Pasadena,CA | 550 | 0.83 |\n| --- | --- | --- | --- |\n| Chicago,IL | Greenbelt,MD | 615 | 0.98 |\n| Chicago,IL | Tokyo,Japan | 490 | 0.61 |\n| Tokyo,Japan | Pasadena,CA | 550 | 0.83 |\n| Tokyo,Japan | Chicago,IL | 460 | 0.67 |",1]
["| Source | Destination | Throughput(Mb/s) | LLPR |\n| --- | --- | --- | --- |\n| Greenbelt,MD | Daejeon,Korea | 360 | 0.78 |","| viaBrennero | 0.4770 | 0.4823 |\n| --- | --- | --- |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |\n| viaEmilia | 0.7050 | 0.6868 |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",0]
["| Model | 20-relMAP |\n| --- | --- |\n| PRA | 54.1 |\n| TransE | 53.2 |\n| TransR | 54.0 |\n| MINERVA | 55.2 |\n| DeepPath | 57.2 |","| RNN-Chain | 51.2 |\n| --- | --- |\n| CNNPath-Reasoner | 54.2 |\n| MML | 58.7 |\n|  | 59.8 |",1]
["| Model | 20-relMAP |\n| --- | --- |\n| PRA | 54.1 |\n| TransE | 53.2 |\n| TransR | 54.0 |\n| MINERVA | 55.2 |\n| DeepPath | 57.2 |","| Model | 12-relMAP | 9-relMAP |\n| --- | --- | --- |\n| RPA | 67.5 | - |\n| TransE | 75.0 | - |\n| TransR | 74.0 | - |\n| TransD | 77.3 | - |\n| TransH | 75.1 | - |\n| MINERVA | - | 88.2 |\n| DeepPath | 79.6 | 80.2 |\n| RNN-Chain | 79.0 | 80.2 |\n| CNNPath-Reasoner | 82.0 | 82.2 |\n|  | 88.6 | 87.9 |",0]
["| Model | 20-relMAP |\n| --- | --- |\n| PRA | 54.1 |\n| TransE | 53.2 |\n| TransR | 54.0 |\n| MINERVA | 55.2 |\n| DeepPath | 57.2 |","| RNN-Chain | 51.2 |\n| --- | --- |\n| CNNPath-Reasoner | 54.2 |\n| MML | 58.7 |\n|  | 59.8 |",1]
["| Model | 20-relMAP |\n| --- | --- |\n| PRA | 54.1 |\n| TransE | 53.2 |\n| TransR | 54.0 |\n| MINERVA | 55.2 |\n| DeepPath | 57.2 |","| TransD | 77.3 | - |\n| --- | --- | --- |\n| TransH | 75.1 | - |\n| MINERVA | - | 88.2 |\n| DeepPath | 79.6 | 80.2 |\n| RNN-Chain | 79.0 | 80.2 |\n| CNNPath-Reasoner | 82.0 | 82.2 |\n|  | 88.6 | 87.9 |",0]
["|  | DELLOPTIPLEX | Nexus7 |\n| --- | --- | --- |\n| Model | DELLOPTIPLEX8010 | Nexus7(2013) |","| OS | Windows7Professional | Android4.4.4 |\n| --- | --- | --- |\n| CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |\n| RAM | 16GB | 2GB |",1]
["|  | DELLOPTIPLEX | Nexus7 |\n| --- | --- | --- |\n| Model | DELLOPTIPLEX8010 | Nexus7(2013) |","| Environment | Clients | ElapsedTime(sec.) | ElapsedTime(ratio) |\n| --- | --- | --- | --- |\n| DELLOPTIPLEX | 1 | 107 | 1 |\n| 2 | 62 | 0.58 |  |\n| 3 | 52 | 0.49 |  |\n| 4 | 46 | 0.43 |  |\n| Nexus7 | 1 | 768 | 1 |\n| 2 | 413 | 0.54 |  |\n| 3 | 293 | 0.38 |  |\n| 4 | 255 | 0.33 |  |",0]
["|  | DELLOPTIPLEX | Nexus7 |\n| --- | --- | --- |\n| Model | DELLOPTIPLEX8010 | Nexus7(2013) |\n| OS | Windows7Professional | Android4.4.4 |","| CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |\n| --- | --- | --- |\n| RAM | 16GB | 2GB |",1]
["|  | DELLOPTIPLEX | Nexus7 |\n| --- | --- | --- |\n| Model | DELLOPTIPLEX8010 | Nexus7(2013) |\n| OS | Windows7Professional | Android4.4.4 |","| 2 | 413 | 0.54 |\n| --- | --- | --- |\n| 3 | 293 | 0.38 |\n| 4 | 255 | 0.33 |",0]
["| Channel | Type | Year(s) | h | #Words |\n| --- | --- | --- | --- | --- |\n| Trainingset |  |  |  |  |\n| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |\n| total |  |  | 146.28 | 1209K |\n| Developmentset |  |  |  |  |","| ARD | TV | 2000–01 | 8.93 | 84K |\n| --- | --- | --- | --- | --- |\n| Testset |  |  |  |  |\n| DW | Radio | 2000–01 | 6.33 | 50K |",1]
["| Channel | Type | Year(s) | h | #Words |\n| --- | --- | --- | --- | --- |\n| Trainingset |  |  |  |  |\n| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |\n| total |  |  | 146.28 | 1209K |\n| Developmentset |  |  |  |  |","| Domain | DistantSupervision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dev | Test | Dev |  |  |  |  |  |\n| EM | F1 | EM | F1 | EM | F1 | EM |  |\n| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |\n| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 |  |\n| Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |\n| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 |  |",0]
["| Channel | Type | Year(s) | h | #Words |\n| --- | --- | --- | --- | --- |\n| Trainingset |  |  |  |  |","| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |\n| --- | --- | --- | --- | --- |\n| total |  |  | 146.28 | 1209K |\n| Developmentset |  |  |  |  |\n| ARD | TV | 2000–01 | 8.93 | 84K |\n| Testset |  |  |  |  |\n| DW | Radio | 2000–01 | 6.33 | 50K |",1]
["| Channel | Type | Year(s) | h | #Words |\n| --- | --- | --- | --- | --- |\n| Trainingset |  |  |  |  |","| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 |  |\n| Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |\n| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 |  |",0]
["| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Groundtruth | - | - | - | - | - | - |\n| AS2S | 55.5255 | 4.0168(-) | 0.4296 | 0.3596 | 0.3045 | 0.2640 |\n| AS2S+AW2V | 54.1752 | 3.9922(-) | 0.4319 | 0.3625 | 0.3076 | 0.2669 |\n| CVAE | 52.1154 | 3.9535(0.0083) | 0.4366 | 0.3605 | 0.3046 | 0.2637 |","| CVAE+AW2V | 52.0516 | 3.9522(0.0126) | 0.4382 | 0.3630 | 0.3073 | 0.2663 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CVAE-HD+AW2V | 51.7236 | 3.9459(0.0163) | 0.4405 | 0.3644 | 0.3084 | 0.2672 |",1]
["| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Groundtruth | - | - | - | - | - | - |\n| AS2S | 55.5255 | 4.0168(-) | 0.4296 | 0.3596 | 0.3045 | 0.2640 |\n| AS2S+AW2V | 54.1752 | 3.9922(-) | 0.4319 | 0.3625 | 0.3076 | 0.2669 |\n| CVAE | 52.1154 | 3.9535(0.0083) | 0.4366 | 0.3605 | 0.3046 | 0.2637 |","| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Groundtruth | - | - | - | - | - | - |","| AS2S | 55.5255 | 4.0168(-) | 0.4296 | 0.3596 | 0.3045 | 0.2640 |\n| --- | --- | --- | --- | --- | --- | --- |\n| AS2S+AW2V | 54.1752 | 3.9922(-) | 0.4319 | 0.3625 | 0.3076 | 0.2669 |\n| CVAE | 52.1154 | 3.9535(0.0083) | 0.4366 | 0.3605 | 0.3046 | 0.2637 |\n| CVAE+AW2V | 52.0516 | 3.9522(0.0126) | 0.4382 | 0.3630 | 0.3073 | 0.2663 |\n| CVAE-HD+AW2V | 51.7236 | 3.9459(0.0163) | 0.4405 | 0.3644 | 0.3084 | 0.2672 |",1]
["| Approach | PPL | NNL(KL) | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Groundtruth | - | - | - | - | - | - |","| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| --- | --- | --- | --- | --- | --- |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| Model | Precision |\n| --- | --- |\n| SVM-unigram | 0.869 |\n| SVM-bigram | 0.892 |","| recursive+recurrent | 0.870 |\n| --- | --- |\n| WNN | 0.902 |\n| BENN | 0.910 |",1]
["| Model | Precision |\n| --- | --- |\n| SVM-unigram | 0.869 |\n| SVM-bigram | 0.892 |","| Model | Sensitivity | Speciﬁcity | Accuracy |\n| --- | --- | --- | --- |\n| SVM(best) | 0.8259 | 0.8324 | 0.8291 |\n| LR(best) | 0.7121 | 0.6879 | 0.6991 |\n| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",0]
["| Model | Precision |\n| --- | --- |\n| SVM-unigram | 0.869 |","| SVM-bigram | 0.892 |\n| --- | --- |\n| recursive+recurrent | 0.870 |\n| WNN | 0.902 |\n| BENN | 0.910 |",1]
["| Model | Precision |\n| --- | --- |\n| SVM-unigram | 0.869 |","| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| --- | --- | --- | --- |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",0]
["| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |","| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| --- | --- | --- | --- | --- | --- |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",1]
["| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |","| #Methods |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 49.90 | 65.68 | 68.26 | 66.38 | 67.09 | 68.68 | 66.70 | 69.68 |\n| aisoposntua | 41.90 | 59.21 | 57.78 | 61.56 | 59.99 | 58.13 | 59.78 | 65.21 |\n| tweetsemevaltest | 39.54 | 56.31 | 61.51 | 61.65 | 62.06 | 62.94 | 62.26 | 62.64 |\n| sentistrengthtwitter | 36.26 | 49.24 | 56.20 | 57.88 | 57.91 | 57.96 | 57.50 | 58.68 |\n| sentistrengthyoutube | 38.14 | 50.01 | 54.98 | 56.56 | 57.13 | 55.83 | 55.45 | 56.93 |\n| sentistrengthmyspace | 26.88 | 44.94 | 47.37 | 53.04 | 52.91 | 51.53 | 46.99 | 55.00 |\n| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |\n| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |\n| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |\n| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |\n| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |\n| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",0]
["| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |","| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n| --- | --- | --- | --- | --- | --- |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",1]
["| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |","| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |\n| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |\n| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |\n| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |\n| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",0]
["| free | explode |\n| --- | --- |\n| kill | kidnap |\n| enter | arrest |","| negotiate | encircle |\n| --- | --- |\n| escapefrom | blocktheway |\n| givedeadline |  |",1]
["| free | explode |\n| --- | --- |\n| kill | kidnap |\n| enter | arrest |","| Crimes(MUC): | murder(s),crime(s),killing(s),traﬃcking,kidnapping(s) |\n| --- | --- |\n| Crimes(WSJ): | murder(s),crime(s),theft(s),fraud(s),embezzlement |\n| Vehicle: | plane(s),helicopter(s),car(s),bus(es),aircraft(s),airplane(s),vehicle(s) |\n| Weapon: | bomb(s),weapon(s),riﬂe(s),missile(s),grenade(s),machinegun(s),dynamite |\n| Machines: | computer(s),machine(s),equipment,chip(s),machinery |",0]
["| free | explode |\n| --- | --- |\n| kill | kidnap |\n| enter | arrest |\n| negotiate | encircle |","| escapefrom | blocktheway |\n| --- | --- |\n| givedeadline |  |",1]
["| free | explode |\n| --- | --- |\n| kill | kidnap |\n| enter | arrest |\n| negotiate | encircle |","| Vehicle: | plane(s),helicopter(s),car(s),bus(es),aircraft(s),airplane(s),vehicle(s) |\n| --- | --- |\n| Weapon: | bomb(s),weapon(s),riﬂe(s),missile(s),grenade(s),machinegun(s),dynamite |\n| Machines: | computer(s),machine(s),equipment,chip(s),machinery |",0]
["| T5<br>Starting<br>Vacancy | Oddsofﬁnishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) |  |  |\n| --- | --- | --- | --- |\n| a1 | 1in146 | 1in47 | 1in7 |\n| b3 | 1in579 | 1in142 | 1in19 |","| a4 | 1in291 | 1in47 | 1in7 |\n| --- | --- | --- | --- |\n| c5 | 1in141 | 1in13 | 1in7 |",1]
["| T5<br>Starting<br>Vacancy | Oddsofﬁnishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) |  |  |\n| --- | --- | --- | --- |\n| a1 | 1in146 | 1in47 | 1in7 |\n| b3 | 1in579 | 1in142 | 1in19 |","| Rule(C→Q) | Caption |\n| --- | --- |\n| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |\n| sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |\n| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |\n| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. |",0]
["| T5<br>Starting<br>Vacancy | Oddsofﬁnishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) |  |  |\n| --- | --- | --- | --- |\n| a1 | 1in146 | 1in47 | 1in7 |\n| b3 | 1in579 | 1in142 | 1in19 |","| a4 | 1in291 | 1in47 | 1in7 |\n| --- | --- | --- | --- |\n| c5 | 1in141 | 1in13 | 1in7 |",1]
["| T5<br>Starting<br>Vacancy | Oddsofﬁnishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) |  |  |\n| --- | --- | --- | --- |\n| a1 | 1in146 | 1in47 | 1in7 |\n| b3 | 1in579 | 1in142 | 1in19 |","| sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |\n| --- | --- |\n| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |\n| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. |",0]
["| Index | σ0<br>Hp-valueCI2 | Index |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |","| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 |",1]
["| Index | σ0<br>Hp-valueCI2 | Index |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Index | σ0<br>Hp-valueCI2 | Index |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |","| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 |",1]
["| Index | σ0<br>Hp-valueCI2 | Index |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Parameter | 8-bit |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Silicon | Carbon | Hybrid | Silicon | Carbon |  |\n| Totalpower<br>dissipation<br>(watts) | 85.1609µ | 33.728n | 31.162n | 132.9407µ | 61.7694n |\n| Averagepower<br>consumption<br>(watts) | 14.42E-05 | 2.615E-05 | 2.147E-05 | 28.147E-05 | 5.665E-05 |","| Propagation<br>Delay(s) | 155.61p | 132.74f | 4.062p | 195.02p | 385.05f |\n| --- | --- | --- | --- | --- | --- |\n| Powerdelay<br>product(J) | 22.438E-15 | 3.471E-18 | 87.21E-18 | 54.89E-15 | 21.81E-18 |",1]
["| Parameter | 8-bit |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Silicon | Carbon | Hybrid | Silicon | Carbon |  |\n| Totalpower<br>dissipation<br>(watts) | 85.1609µ | 33.728n | 31.162n | 132.9407µ | 61.7694n |\n| Averagepower<br>consumption<br>(watts) | 14.42E-05 | 2.615E-05 | 2.147E-05 | 28.147E-05 | 5.665E-05 |","| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.1609µ | 33.728n | 132.9407µ |\n| Averagepower<br>consumption(watts) | 14.42E-05 | 2.615E-05 | 28.147E-05 |\n| PropagationDelay(s) | 155.61p | 132.74f | 195.02p |\n| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 |",0]
["| Parameter | 8-bit |  |  |  |\n| --- | --- | --- | --- | --- |\n| Silicon | Carbon | Hybrid | Silicon | Carbon |","| Totalpower<br>dissipation<br>(watts) | 85.1609µ | 33.728n | 31.162n | 132.9407µ | 61.7694n |\n| --- | --- | --- | --- | --- | --- |\n| Averagepower<br>consumption<br>(watts) | 14.42E-05 | 2.615E-05 | 2.147E-05 | 28.147E-05 | 5.665E-05 |\n| Propagation<br>Delay(s) | 155.61p | 132.74f | 4.062p | 195.02p | 385.05f |\n| Powerdelay<br>product(J) | 22.438E-15 | 3.471E-18 | 87.21E-18 | 54.89E-15 | 21.81E-18 |",1]
["| Parameter | 8-bit |  |  |  |\n| --- | --- | --- | --- | --- |\n| Silicon | Carbon | Hybrid | Silicon | Carbon |","| PropagationDelay(s) | 155.61p | 132.74f | 195.02p |\n| --- | --- | --- | --- |\n| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 |",0]
["| DialogActClass | Count |\n| --- | --- |\n| Accept | 21149 |\n| Non-Opinionated | 74992 |","| Backchannels | 71235 |\n| --- | --- |\n| Opinionated | 26770 |\n| Questions | 10955 |\n| Summarize(Repeat) | 2305 |\n| Reject(Oppose) | 1379 |\n| Conventionalresponse | 3710 |\n| Nonverbal | 1891 |\n| Other | 2148 |",1]
["| DialogActClass | Count |\n| --- | --- |\n| Accept | 21149 |\n| Non-Opinionated | 74992 |","|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["| DialogActClass | Count |\n| --- | --- |\n| Accept | 21149 |","| Non-Opinionated | 74992 |\n| --- | --- |\n| Backchannels | 71235 |\n| Opinionated | 26770 |\n| Questions | 10955 |\n| Summarize(Repeat) | 2305 |\n| Reject(Oppose) | 1379 |\n| Conventionalresponse | 3710 |\n| Nonverbal | 1891 |\n| Other | 2148 |",1]
["| DialogActClass | Count |\n| --- | --- |\n| Accept | 21149 |","| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| --- | --- | --- | --- | --- |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["| PE | skewness | kurtosis |\n| --- | --- | --- |\n| 0.02 | 0.1502 | 0.0206 |\n| 0.04 | 0.1007 | 0.0081 |\n| 0.08 | 0.0637 | 0.0021 |\n| 0.1 | 0.0537 | 0.0009 |\n| 0.2 | 0.0271 | -0.0012 |\n| 0.3 | 0.0140 | -0.0017 |","| 0.4 | 0.0056 | -0.0019 |\n| --- | --- | --- |\n| 0.5 | -0.0004 | -0.0020 |\n| 0.6 | -0.0050 | -0.0021 |\n| 0.7 | -0.0086 | -0.0021 |\n| 0.8 | -0.0116 | -0.0022 |\n| 0.9 | -0.0141 | -0.0022 |",1]
["| PE | skewness | kurtosis |\n| --- | --- | --- |\n| 0.02 | 0.1502 | 0.0206 |\n| 0.04 | 0.1007 | 0.0081 |\n| 0.08 | 0.0637 | 0.0021 |\n| 0.1 | 0.0537 | 0.0009 |\n| 0.2 | 0.0271 | -0.0012 |\n| 0.3 | 0.0140 | -0.0017 |","| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| PE | skewness | kurtosis |\n| --- | --- | --- |\n| 0.02 | 0.1502 | 0.0206 |\n| 0.04 | 0.1007 | 0.0081 |","| 0.08 | 0.0637 | 0.0021 |\n| --- | --- | --- |\n| 0.1 | 0.0537 | 0.0009 |\n| 0.2 | 0.0271 | -0.0012 |\n| 0.3 | 0.0140 | -0.0017 |\n| 0.4 | 0.0056 | -0.0019 |\n| 0.5 | -0.0004 | -0.0020 |\n| 0.6 | -0.0050 | -0.0021 |\n| 0.7 | -0.0086 | -0.0021 |\n| 0.8 | -0.0116 | -0.0022 |\n| 0.9 | -0.0141 | -0.0022 |",1]
["| PE | skewness | kurtosis |\n| --- | --- | --- |\n| 0.02 | 0.1502 | 0.0206 |\n| 0.04 | 0.1007 | 0.0081 |","| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| --- | --- | --- | --- | --- | --- |\n| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 |","| IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| --- | --- | --- | --- | --- | --- |\n| Rank-1<br>Rank-5<br>Rank-10 | 0.915±0.011<br>0.969±0.007<br>0.982±0.005 | 0.907±0.011<br>0.955±0.007<br>0.965±0.005 | 0.922±0.011<br>0.975±0.006<br>0.987±0.001 | 0.916±0.009<br>0.971±0.007<br>0.981±0.005 | 0.923±0.01<br>0.961±0.006<br>0.969±0.004 |\n| IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| FPIR=0.01<br>FPIR=0.1 | 0.618±0.05<br>0.799±0.014 | 0.64±0.043<br>0.806±0.012 | 0.631±0.041<br>0.813±0.014 | 0.639±0.057<br>0.816±0.015 | 0.646±0.055<br>0.827±0.012 |",1]
["| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| --- | --- | --- | --- | --- | --- |\n| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |\n| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |\n| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |\n| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |\n| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |\n| FCR2-c | 61.38 | 94.72 | 98.80 |\n| FCR1-c | 59.50 | 95.72 | 99.40 |\n| MLR | 50.31 | 93.08 | 97.79 |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |\n| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |\n| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |\n| MLR+CFV | 44.78 | 94.72 | 97.99 |\n| MLR+CFV+FCR1-c | 53.33 | 96.48 | 99.00 |\n| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",0]
["| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| --- | --- | --- | --- | --- | --- |\n| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 |","| IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| --- | --- | --- | --- | --- | --- |\n| Rank-1<br>Rank-5<br>Rank-10 | 0.915±0.011<br>0.969±0.007<br>0.982±0.005 | 0.907±0.011<br>0.955±0.007<br>0.965±0.005 | 0.922±0.011<br>0.975±0.006<br>0.987±0.001 | 0.916±0.009<br>0.971±0.007<br>0.981±0.005 | 0.923±0.01<br>0.961±0.006<br>0.969±0.004 |\n| IJB-A-Ident | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| FPIR=0.01<br>FPIR=0.1 | 0.618±0.05<br>0.799±0.014 | 0.64±0.043<br>0.806±0.012 | 0.631±0.041<br>0.813±0.014 | 0.639±0.057<br>0.816±0.015 | 0.646±0.055<br>0.827±0.012 |",1]
["| IJB-A-Verif | DCNN(setup1) | DCNN(setup2) | DCNN(setup3) | DCNN(setup1)m | DCNN(setup2)m |\n| --- | --- | --- | --- | --- | --- |\n| FAR=1e-2<br>FAR=1e-1 | 0.834±0.036<br>0.956±0.008 | 0.844±0.026<br>0.95±0.005 | 0.846±0.029<br>0.962±0.007 | 0.863±0.02<br>0.966±0.05 | 0.885±0.014<br>0.954±0.003 |","| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| --- | --- | --- | --- |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",0]
["| ExamID |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total |","| Numberofanswersheets | 40 | 99 | 103 | 60 | 62 | 371 | 735 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Pagesperanswersheet | 3 | 1 | 1 | 1 | 1 | 1 |  |\n| Numberofconﬁrmedanswers | 519 | 979 | 1,041 | 599 | 551 | 7,291 | 10,980 |\n| Numberofcrossedoutanswers | 16 | 24 | 17 | 11 | 42 | 92 | 202 |\n| Numberofemptyanswers | 1,034 | 1,967 | 2,032 | 1,190 | 1,267 | 14,877 | 22,367 |\n| Totalnumberofpages | 120 | 99 | 103 | 60 | 62 | 371 | 815 |",1]
["| ExamID |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total |","| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |\n| 349 | 1 |\n| 446 | 2 |\n| 307 | 1 |\n| 1472 | 142 |\n| 332 | 1 |\n| 941 | 81 |\n| 646 | 39 |\n| 1922 | 201 |\n| 623 | 38 |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",0]
["| ExamID |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total |  |\n| Numberofanswersheets | 40 | 99 | 103 | 60 | 62 | 371 | 735 |\n| Pagesperanswersheet | 3 | 1 | 1 | 1 | 1 | 1 |  |","| Numberofconﬁrmedanswers | 519 | 979 | 1,041 | 599 | 551 | 7,291 | 10,980 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberofcrossedoutanswers | 16 | 24 | 17 | 11 | 42 | 92 | 202 |\n| Numberofemptyanswers | 1,034 | 1,967 | 2,032 | 1,190 | 1,267 | 14,877 | 22,367 |\n| Totalnumberofpages | 120 | 99 | 103 | 60 | 62 | 371 | 815 |",1]
["| ExamID |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Exam0 | Exam1 | Exam2 | Exam3 | Exam4 | Exam5 | Total |  |\n| Numberofanswersheets | 40 | 99 | 103 | 60 | 62 | 371 | 735 |\n| Pagesperanswersheet | 3 | 1 | 1 | 1 | 1 | 1 |  |","| 491 | 24 |\n| --- | --- |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",0]
["| peak=2 | peak=5 | peak=10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP |  |\n| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |","| House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |\n| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |\n| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 |",1]
["| peak=2 | peak=5 | peak=10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP |  |\n| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |","| peak=1 | peak=2 | peak=5 | peak=10 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | +BLP |  | +BLP |  | +BLP | +BLP | +BLP |  |\n| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 |\n| House | 23.56 | 23.74 | 24.74 | 25.15 | 26.78 | 27.74 | 28.76 | 29.80 |\n| Barbara | 21.37 | 21.56 | 22.33 | 22.51 | 24.57 | 25.12 | 26.52 | 27.31 |\n| Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |\n| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 |",0]
["| peak=2 | peak=5 | peak=10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP |  |\n| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |","| House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |\n| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |\n| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 |",1]
["| peak=2 | peak=5 | peak=10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP |  |\n| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |","| Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 |",0]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |\n| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 |","| method | diab. | four. | germ. | heart |  |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 76.4323 | 77.8422 | 75.3 | 83.7037 |  |\n| WSS3 | 77.2135 | 77.6102 | 77.9 | 84.4444 |  |",1]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |\n| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 |","| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.4268 | 97.7796 | 86.2319 | 86 | 97.3646 |\n| WSS3 | 83.8006 | 97.9814 | 86.8116 | 86.8 | 97.2182 |\n| method | diab. | four. | germ. | heart |  |\n| WSS-WR | 77.9948 | 100 | 75.8 | 85.1852 |  |\n| WSS3 | 77.474 | 100 | 77.6 | 84.4444 |  |",0]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |\n| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 |","| method | diab. | four. | germ. | heart |  |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 76.4323 | 77.8422 | 75.3 | 83.7037 |  |\n| WSS3 | 77.2135 | 77.6102 | 77.9 | 84.4444 |  |",1]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |\n| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 |","| method | diab. | four. | germ. | heart |  |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 77.9948 | 100 | 75.8 | 85.1852 |  |\n| WSS3 | 77.474 | 100 | 77.6 | 84.4444 |  |",0]
["| Parameter | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 82 | 83 | 36.3K | 37.6K |\n| REGs | 172 | 177 | 18.6K | 19.1K |\n| BRAM(bits) | 7.20K | 7.27K | 216K | 221K |\n| DSPs | 1 | 1 | 4 | 4 |","| Cycles/Kernel | 1003 | 1008 | 250 | 258 |\n| --- | --- | --- | --- | --- |\n| EWGT | 249K | 292K | 997K | 826K |",1]
["| Parameter | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 82 | 83 | 36.3K | 37.6K |\n| REGs | 172 | 177 | 18.6K | 19.1K |\n| BRAM(bits) | 7.20K | 7.27K | 216K | 221K |\n| DSPs | 1 | 1 | 4 | 4 |","| Resource | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 528 | 546 | 5764 | 5837 |\n| REGs | 534 | 575 | 4504 | 4892 |\n| BRAM(bits) | 5418 | 5400 | 11304 | 11250 |\n| DSPs | 0 | 0 | 0 | 0 |\n| Cycles/Kernel | 292 | 308 | 180 | 185 |\n| EWGT | 57K | 43K | 92K | 72K |",0]
["| Parameter | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 82 | 83 | 36.3K | 37.6K |\n| REGs | 172 | 177 | 18.6K | 19.1K |\n| BRAM(bits) | 7.20K | 7.27K | 216K | 221K |\n| DSPs | 1 | 1 | 4 | 4 |","| Cycles/Kernel | 1003 | 1008 | 250 | 258 |\n| --- | --- | --- | --- | --- |\n| EWGT | 249K | 292K | 997K | 826K |",1]
["| Parameter | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 82 | 83 | 36.3K | 37.6K |\n| REGs | 172 | 177 | 18.6K | 19.1K |\n| BRAM(bits) | 7.20K | 7.27K | 216K | 221K |\n| DSPs | 1 | 1 | 4 | 4 |","| REGs | 534 | 575 | 4504 | 4892 |\n| --- | --- | --- | --- | --- |\n| BRAM(bits) | 5418 | 5400 | 11304 | 11250 |\n| DSPs | 0 | 0 | 0 | 0 |\n| Cycles/Kernel | 292 | 308 | 180 | 185 |\n| EWGT | 57K | 43K | 92K | 72K |",0]
["| FamilyName | Size | FamilyName | Size |\n| --- | --- | --- | --- |\n| ABU,Banload | 16 | Hupigon,AWQ | 219 |\n| Agent,Agent | 42 | IRCBot,Sdbot | 66 |\n| Agent,Small | 15 | LdPinch,LdPinch | 16 |\n| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |","| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| --- | --- | --- | --- |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",1]
["| FamilyName | Size | FamilyName | Size |\n| --- | --- | --- | --- |\n| ABU,Banload | 16 | Hupigon,AWQ | 219 |\n| Agent,Agent | 42 | IRCBot,Sdbot | 66 |\n| Agent,Small | 15 | LdPinch,LdPinch | 16 |\n| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |","| Name | Reviews | 5Star | 4Star | 3Star | 2Star | 1Star |\n| --- | --- | --- | --- | --- | --- | --- |\n| FoodInc. | 2462 | 1949 | 357 | 78 | 30 | 48 |\n| Boyhood | 2253 | 872 | 342 | 318 | 296 | 425 |\n| FedUp | 1401 | 1069 | 185 | 82 | 29 | 36 |\n| Blackﬁsh | 955 | 750 | 117 | 42 | 15 | 31 |\n| TheImitationGame | 829 | 577 | 158 | 54 | 14 | 26 |\n| Super-SizeMe | 670 | 324 | 152 | 71 | 41 | 82 |\n| InsideJob | 437 | 308 | 54 | 21 | 10 | 44 |\n| Citizenfour | 199 | 168 | 17 | 10 | 1 | 3 |",0]
["| FamilyName | Size | FamilyName | Size |\n| --- | --- | --- | --- |\n| ABU,Banload | 16 | Hupigon,AWQ | 219 |\n| Agent,Agent | 42 | IRCBot,Sdbot | 66 |\n| Agent,Small | 15 | LdPinch,LdPinch | 16 |\n| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |","| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| --- | --- | --- | --- |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",1]
["| FamilyName | Size | FamilyName | Size |\n| --- | --- | --- | --- |\n| ABU,Banload | 16 | Hupigon,AWQ | 219 |\n| Agent,Agent | 42 | IRCBot,Sdbot | 66 |\n| Agent,Small | 15 | LdPinch,LdPinch | 16 |\n| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |","| Super-SizeMe | 670 | 324 | 152 | 71 | 41 | 82 |\n| --- | --- | --- | --- | --- | --- | --- |\n| InsideJob | 437 | 308 | 54 | 21 | 10 | 44 |\n| Citizenfour | 199 | 168 | 17 | 10 | 1 | 3 |",0]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |","| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",1]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |","|  | SDR(dB) | SIR(dB) | SAR(dB) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep |\n| Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |\n| Example3×5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |\n| Example4×8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 |",0]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |","| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",1]
["|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |","| Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Example3×5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |\n| Example4×8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 |",0]
["| Fold | Original | Anonymized(k=2) | Anatomized(l=2) | Anonymized(k=3) |\n| --- | --- | --- | --- | --- |\n| 1 | 0.2369 | 0.7504 | 0.2 | 0.7504 |\n| 2 | 0.2491 | 0.2546 | 0.1792 | 0.2546 |\n| 3 | 0.2535 | 0.265 | 0.184 | 0.265 |","| 4 | 0.2347 | 0.2692 | 0.1896 | 0.2692 |\n| --- | --- | --- | --- | --- |\n| 5 | 0.2504 | 0.2716 | 0.1874 | 0.2716 |\n| 6 | 0.2097 | 0.2679 | 0.2535 | 0.2679 |\n| 7 | 0.2541 | 0.2597 | 0.2358 | 0.2597 |\n| 8 | 0.2528 | 0.2652 | 0.1911 | 0.2652 |\n| 9 | 0.2608 | 0.2661 | 0.1922 | 0.2661 |\n| 10 | 0.2539 | 0.2623 | 0.2269 | 0.2623 |",1]
["| Fold | Original | Anonymized(k=2) | Anatomized(l=2) | Anonymized(k=3) |\n| --- | --- | --- | --- | --- |\n| 1 | 0.2369 | 0.7504 | 0.2 | 0.7504 |\n| 2 | 0.2491 | 0.2546 | 0.1792 | 0.2546 |\n| 3 | 0.2535 | 0.265 | 0.184 | 0.265 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| Fold | Original | Anonymized(k=2) | Anatomized(l=2) | Anonymized(k=3) |\n| --- | --- | --- | --- | --- |\n| 1 | 0.2369 | 0.7504 | 0.2 | 0.7504 |\n| 2 | 0.2491 | 0.2546 | 0.1792 | 0.2546 |\n| 3 | 0.2535 | 0.265 | 0.184 | 0.265 |\n| 4 | 0.2347 | 0.2692 | 0.1896 | 0.2692 |\n| 5 | 0.2504 | 0.2716 | 0.1874 | 0.2716 |\n| 6 | 0.2097 | 0.2679 | 0.2535 | 0.2679 |\n| 7 | 0.2541 | 0.2597 | 0.2358 | 0.2597 |","| 8 | 0.2528 | 0.2652 | 0.1911 | 0.2652 |\n| --- | --- | --- | --- | --- |\n| 9 | 0.2608 | 0.2661 | 0.1922 | 0.2661 |\n| 10 | 0.2539 | 0.2623 | 0.2269 | 0.2623 |",1]
["| Fold | Original | Anonymized(k=2) | Anatomized(l=2) | Anonymized(k=3) |\n| --- | --- | --- | --- | --- |\n| 1 | 0.2369 | 0.7504 | 0.2 | 0.7504 |\n| 2 | 0.2491 | 0.2546 | 0.1792 | 0.2546 |\n| 3 | 0.2535 | 0.265 | 0.184 | 0.265 |\n| 4 | 0.2347 | 0.2692 | 0.1896 | 0.2692 |\n| 5 | 0.2504 | 0.2716 | 0.1874 | 0.2716 |\n| 6 | 0.2097 | 0.2679 | 0.2535 | 0.2679 |\n| 7 | 0.2541 | 0.2597 | 0.2358 | 0.2597 |","| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| Author | Year | Process | Array | Motion | Method |\n| --- | --- | --- | --- | --- | --- |\n| Tanner | 1986 | 2µ | 1D(1x16) | Global | Block-Matching |\n| Tanner | 1986 | 1.5µ | 2D(8x8) | Global | Gradient |\n| Franceschini | 1989 | - | 1D(1x100) | Local | Token |\n| Andreou | 1991 | 2µ | 1D(1x25) | Global | Reichardt |\n| Etienne-Cummings | 1992 | 2µ | 2D(5x5) | Global | Token(TI) |\n| Horiuchi | 1992 | 2µ | 1D(1x17) | Local | Token(TS) |\n| Delbruck | 1993 | 2µ | 2D(25x25) | Local | Reichardt |\n| Sarpeshkar | 1993 | 2µ | NANA | NA | Token |\n| Gottardi | 1995 | 2µ | 1D(1x115) | Global | Block-Matching |","| Kramer | 1995 | 2µ | 1D(1x8) | Local | Token(FS) |\n| --- | --- | --- | --- | --- | --- |\n| Yakovleﬀ | 1996 | 2µ | 1D(1x61) | Local | Block-Matching |\n| Arreguit | 1996 | 2µ | 2D(9x9) | Local | Block-Matching |\n| Etienne-Cummings | 1997 | 2µ | 2D(9x9) | Global | Token |\n| Moini | 1997 | 1.2µ | 2x1D(2x64) | Local | Block-Matching |\n| Harrison | 1998 | 2µ | 2D(1x2) | Local | Reichardt |\n| Higgins | 1999 | 1.2µ | 2D(14x13) | Local | Token(ITI,FS) |\n| Indiveri | 1999 | 1.2µ | 2D(8x8) | Global | Token(FS) |\n| Jiang | 1999 | 0.6µ | 2D(32x32) | Global | Token(ISI) |\n| Etienne-Cummings | 1999 | 2µ | 2x1D(2x18) | Global | Adelson-Bergen |\n| Barrows | 2000 | 1.2µ | 2x1D(2x4) | Global | Token(FS) |\n| Liu | 2000 | 1.2µ | 1D(1x37) | Global | Reichardt |\n| Pant | 2000 | 1.6µ | 2D(13x6) | Local | Reichardt |\n| Higgins | 2000 | 1.2µ | 2D(13x15) | Local | Token(FS) |\n| Harrison | 2000 | 1.2µ | 1D(1x22) | Global | Reichardt |\n| Higgins | 2002 | 1.2µ | 2D(27x29) | Local | Token(ITI) |\n| Yamada | 2003 | 1.5µ | 2D(2x10) | Local | Token(FS) |\n| Ozalevi | 2003 | 1.5µ | 2D(6x6) | Global | Adelson-Bergen |\n| Massie | 2003 | 0.5µ | 12x1D(12x90) | Yaw/Pitch/Roll | Token(FS) |\n| Stocker | 2004 | 0.8µ | 2D(30x30) | Local | Gradient |\n| Ozalevi | 2005 | 1.6µ | 2D(6x7) | Global | Reichardt |\n| Harrison | 2005 | 0.5µ | 2D(16x16) | Global | Reichardt |\n| Shoemaker | 2005 | 0.35µ | 1D(1x7) | Global | Reichardt |\n| Mehta | 2006 | 0.5µ | 2D(95x52) | Local | Gradient |\n| Moeckel | 2007 | 1.5µ | 1D(1x24) | Local | Token(FS) |\n| Bartolozzi | 2011 | 0.6µ | 1D(1x64) | Local | Token(FS) |\n| Roubieu | 2013 | - | 1D(1x5) | Global | Token(ISI) |",1]
["| Author | Year | Process | Array | Motion | Method |\n| --- | --- | --- | --- | --- | --- |\n| Tanner | 1986 | 2µ | 1D(1x16) | Global | Block-Matching |\n| Tanner | 1986 | 1.5µ | 2D(8x8) | Global | Gradient |\n| Franceschini | 1989 | - | 1D(1x100) | Local | Token |\n| Andreou | 1991 | 2µ | 1D(1x25) | Global | Reichardt |\n| Etienne-Cummings | 1992 | 2µ | 2D(5x5) | Global | Token(TI) |\n| Horiuchi | 1992 | 2µ | 1D(1x17) | Local | Token(TS) |\n| Delbruck | 1993 | 2µ | 2D(25x25) | Local | Reichardt |\n| Sarpeshkar | 1993 | 2µ | NANA | NA | Token |\n| Gottardi | 1995 | 2µ | 1D(1x115) | Global | Block-Matching |","| Method\\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0614 |  |  |  |  |\n| GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 |\n| Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 |\n| Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 |\n| Conjugate-Hestenes | 0.8177 | 0.3612 | 0.3575 | 0.8883 | 2.0041 |\n| Conjugate-DaiYun | 1.429 | 2.8531 | 0.583 | 0.6836 | 6.2065 |\n| Newton’sMethod | 0.0623 | 0.1601 | 1.1828 | 3.0661 | 5.8747 |",0]
["| Author | Year | Process | Array | Motion | Method |\n| --- | --- | --- | --- | --- | --- |\n| Tanner | 1986 | 2µ | 1D(1x16) | Global | Block-Matching |\n| Tanner | 1986 | 1.5µ | 2D(8x8) | Global | Gradient |\n| Franceschini | 1989 | - | 1D(1x100) | Local | Token |\n| Andreou | 1991 | 2µ | 1D(1x25) | Global | Reichardt |\n| Etienne-Cummings | 1992 | 2µ | 2D(5x5) | Global | Token(TI) |\n| Horiuchi | 1992 | 2µ | 1D(1x17) | Local | Token(TS) |\n| Delbruck | 1993 | 2µ | 2D(25x25) | Local | Reichardt |\n| Sarpeshkar | 1993 | 2µ | NANA | NA | Token |\n| Gottardi | 1995 | 2µ | 1D(1x115) | Global | Block-Matching |\n| Kramer | 1995 | 2µ | 1D(1x8) | Local | Token(FS) |\n| Yakovleﬀ | 1996 | 2µ | 1D(1x61) | Local | Block-Matching |\n| Arreguit | 1996 | 2µ | 2D(9x9) | Local | Block-Matching |\n| Etienne-Cummings | 1997 | 2µ | 2D(9x9) | Global | Token |\n| Moini | 1997 | 1.2µ | 2x1D(2x64) | Local | Block-Matching |\n| Harrison | 1998 | 2µ | 2D(1x2) | Local | Reichardt |","| Higgins | 1999 | 1.2µ | 2D(14x13) | Local | Token(ITI,FS) |\n| --- | --- | --- | --- | --- | --- |\n| Indiveri | 1999 | 1.2µ | 2D(8x8) | Global | Token(FS) |\n| Jiang | 1999 | 0.6µ | 2D(32x32) | Global | Token(ISI) |\n| Etienne-Cummings | 1999 | 2µ | 2x1D(2x18) | Global | Adelson-Bergen |\n| Barrows | 2000 | 1.2µ | 2x1D(2x4) | Global | Token(FS) |\n| Liu | 2000 | 1.2µ | 1D(1x37) | Global | Reichardt |\n| Pant | 2000 | 1.6µ | 2D(13x6) | Local | Reichardt |\n| Higgins | 2000 | 1.2µ | 2D(13x15) | Local | Token(FS) |\n| Harrison | 2000 | 1.2µ | 1D(1x22) | Global | Reichardt |\n| Higgins | 2002 | 1.2µ | 2D(27x29) | Local | Token(ITI) |\n| Yamada | 2003 | 1.5µ | 2D(2x10) | Local | Token(FS) |\n| Ozalevi | 2003 | 1.5µ | 2D(6x6) | Global | Adelson-Bergen |\n| Massie | 2003 | 0.5µ | 12x1D(12x90) | Yaw/Pitch/Roll | Token(FS) |\n| Stocker | 2004 | 0.8µ | 2D(30x30) | Local | Gradient |\n| Ozalevi | 2005 | 1.6µ | 2D(6x7) | Global | Reichardt |\n| Harrison | 2005 | 0.5µ | 2D(16x16) | Global | Reichardt |\n| Shoemaker | 2005 | 0.35µ | 1D(1x7) | Global | Reichardt |\n| Mehta | 2006 | 0.5µ | 2D(95x52) | Local | Gradient |\n| Moeckel | 2007 | 1.5µ | 1D(1x24) | Local | Token(FS) |\n| Bartolozzi | 2011 | 0.6µ | 1D(1x64) | Local | Token(FS) |\n| Roubieu | 2013 | - | 1D(1x5) | Global | Token(ISI) |",1]
["| Author | Year | Process | Array | Motion | Method |\n| --- | --- | --- | --- | --- | --- |\n| Tanner | 1986 | 2µ | 1D(1x16) | Global | Block-Matching |\n| Tanner | 1986 | 1.5µ | 2D(8x8) | Global | Gradient |\n| Franceschini | 1989 | - | 1D(1x100) | Local | Token |\n| Andreou | 1991 | 2µ | 1D(1x25) | Global | Reichardt |\n| Etienne-Cummings | 1992 | 2µ | 2D(5x5) | Global | Token(TI) |\n| Horiuchi | 1992 | 2µ | 1D(1x17) | Local | Token(TS) |\n| Delbruck | 1993 | 2µ | 2D(25x25) | Local | Reichardt |\n| Sarpeshkar | 1993 | 2µ | NANA | NA | Token |\n| Gottardi | 1995 | 2µ | 1D(1x115) | Global | Block-Matching |\n| Kramer | 1995 | 2µ | 1D(1x8) | Local | Token(FS) |\n| Yakovleﬀ | 1996 | 2µ | 1D(1x61) | Local | Block-Matching |\n| Arreguit | 1996 | 2µ | 2D(9x9) | Local | Block-Matching |\n| Etienne-Cummings | 1997 | 2µ | 2D(9x9) | Global | Token |\n| Moini | 1997 | 1.2µ | 2x1D(2x64) | Local | Block-Matching |\n| Harrison | 1998 | 2µ | 2D(1x2) | Local | Reichardt |","| GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 |\n| Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 |\n| Conjugate-Hestenes | 0.8177 | 0.3612 | 0.3575 | 0.8883 | 2.0041 |\n| Conjugate-DaiYun | 1.429 | 2.8531 | 0.583 | 0.6836 | 6.2065 |\n| Newton’sMethod | 0.0623 | 0.1601 | 1.1828 | 3.0661 | 5.8747 |",0]
["|  | G¨odellogic | Productlogic | Probabilisticlogic |\n| --- | --- | --- | --- |\n| ¬x | ifx=0then1else0 | ifx=0then1else0 | 1−x |","| x∧y | min{x,y} | x·y | x·y |\n| --- | --- | --- | --- |\n| x∨y | max{x,y} | x+y−x·y | x+y−x·y |\n| x⇒y | ifx≤ythen1,elsey | ifx≤ythen1,elsex/y | y−x+x·y |",1]
["|  | G¨odellogic | Productlogic | Probabilisticlogic |\n| --- | --- | --- | --- |\n| ¬x | ifx=0then1else0 | ifx=0then1else0 | 1−x |","| x | y | z | Numberofsatisﬁedclauses |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 2 |\n| 0 | 1 | 0 | 3 |\n| 0 | 0 | 1 | 3 |\n| 0 | 0 | 0 | 3 |\n| 1 | 1 | 1 | 3 |\n| 1 | 1 | 0 | 3 |\n| 1 | 0 | 1 | 3 |\n| 1 | 0 | 0 | 2 |",0]
["|  | G¨odellogic | Productlogic | Probabilisticlogic |\n| --- | --- | --- | --- |\n| ¬x | ifx=0then1else0 | ifx=0then1else0 | 1−x |\n| x∧y | min{x,y} | x·y | x·y |","| x∨y | max{x,y} | x+y−x·y | x+y−x·y |\n| --- | --- | --- | --- |\n| x⇒y | ifx≤ythen1,elsey | ifx≤ythen1,elsex/y | y−x+x·y |",1]
["|  | G¨odellogic | Productlogic | Probabilisticlogic |\n| --- | --- | --- | --- |\n| ¬x | ifx=0then1else0 | ifx=0then1else0 | 1−x |\n| x∧y | min{x,y} | x·y | x·y |","| 1 | 1 | 1 | 3 |\n| --- | --- | --- | --- |\n| 1 | 1 | 0 | 3 |\n| 1 | 0 | 1 | 3 |\n| 1 | 0 | 0 | 2 |",0]
["| RatingsofAccounts | RewardsperSubmission |\n| --- | --- |\n| 0-star,1-star | $0.30 |\n| 2-star | $0.75 |\n| 3-star | $1.50 |","| 4-star | $3.74 |\n| --- | --- |\n| 5-star,6-star | $5.98 |",1]
["| RatingsofAccounts | RewardsperSubmission |\n| --- | --- |\n| 0-star,1-star | $0.30 |\n| 2-star | $0.75 |\n| 3-star | $1.50 |","| SearchScore | ScoreChange | DiscountFactor | ContributiontoTotalError |\n| --- | --- | --- | --- |\n| 10 | 0 | 0.7 | 0 |\n| 20 | 10 | 0.7 | 7 |\n| 20 | 0 | 0.7 | 0 |\n| 20 | 0 | 0.7 | 0 |\n| -10 | -30 | 0.7 | -7.2 |\n| -10 | 0 | 0.7 | 0 |\n| -10 | 0 | 0.7 | 0 |\n| 40 | 50 | 0.7 | 4.12 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |",0]
["| RatingsofAccounts | RewardsperSubmission |\n| --- | --- |\n| 0-star,1-star | $0.30 |\n| 2-star | $0.75 |\n| 3-star | $1.50 |","| 4-star | $3.74 |\n| --- | --- |\n| 5-star,6-star | $5.98 |",1]
["| RatingsofAccounts | RewardsperSubmission |\n| --- | --- |\n| 0-star,1-star | $0.30 |\n| 2-star | $0.75 |\n| 3-star | $1.50 |","| 40 | 0 | 0.7 | 0 |\n| --- | --- | --- | --- |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Notation |\n| --- |\n| v |\n| qi |","| q |\n| --- |\n| si |\n| s |\n| qs |\n| c |",1]
["| Notation |\n| --- |\n| v |\n| qi |","| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |\n| α | 60 | C | 10 | k | ∞ |\n| Vt | 0 | γ | 60 | q | 10 |\n| m0 | −400 | m1 | 400 | imin | 10 |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| Notation |\n| --- |\n| v |\n| qi |\n| q |\n| si |","| s |\n| --- |\n| qs |\n| c |",1]
["| Notation |\n| --- |\n| v |\n| qi |\n| q |\n| si |","| m0 | −400 | m1 | 400 | imin | 10 |\n| --- | --- | --- | --- | --- | --- |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| Tables | DatasetSize |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 65000 | 101000 | 219500 | 300000 | 466737 |","| Nodes | 982212 | 1523732 | 3360798 | 4598454 | 7190330 |\n| --- | --- | --- | --- | --- | --- |\n| Relationships | 153477291 | 183955761 | 285778449 | 375437997 | 490033038 |\n| Properties | 384189475 | 461537287 | 719874720 | 946265404 | 1238579332 |",1]
["| Tables | DatasetSize |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 65000 | 101000 | 219500 | 300000 | 466737 |","| Dataset | Nodes | Edges | Clusters |\n| --- | --- | --- | --- |\n| DTI | 142541 | 3992290 | 500 |\n| FB | 4039 | 88234 | 10 |\n| DBLP | 317080 | 1049866 | 500 |\n| Syn200 | 20000 | 773388 | 200 |",0]
["| Tables | DatasetSize |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 65000 | 101000 | 219500 | 300000 | 466737 |\n| Nodes | 982212 | 1523732 | 3360798 | 4598454 | 7190330 |","| Relationships | 153477291 | 183955761 | 285778449 | 375437997 | 490033038 |\n| --- | --- | --- | --- | --- | --- |\n| Properties | 384189475 | 461537287 | 719874720 | 946265404 | 1238579332 |",1]
["| Tables | DatasetSize |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 65000 | 101000 | 219500 | 300000 | 466737 |\n| Nodes | 982212 | 1523732 | 3360798 | 4598454 | 7190330 |","| FB | 4039 | 88234 | 10 |\n| --- | --- | --- | --- |\n| DBLP | 317080 | 1049866 | 500 |\n| Syn200 | 20000 | 773388 | 200 |",0]
["| DG | CDG |\n| --- | --- |\n| (A,:likes,I1) | (1,1,2) |\n| (A,:likes,I2) | (1,1,3) |\n| (A,:follows,B) | (1,2,4) |\n| (B,:related,h) | (4,3,5) |\n| (B,:follows,C) | (4,2,6) |\n| (B,:follows,D) | (4,2,7) |","| (C,:likes,I2) | (6,1,3) |\n| --- | --- |\n| (C,:follows,D) | (6,2,7) |\n| (D,:related,h) | (7,3,5) |",1]
["| DG | CDG |\n| --- | --- |\n| (A,:likes,I1) | (1,1,2) |\n| (A,:likes,I2) | (1,1,3) |\n| (A,:follows,B) | (1,2,4) |\n| (B,:related,h) | (4,3,5) |\n| (B,:follows,C) | (4,2,6) |\n| (B,:follows,D) | (4,2,7) |","| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |\n| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |\n| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |\n| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |\n| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |\n| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |\n| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",0]
["| DG | CDG |\n| --- | --- |\n| (A,:likes,I1) | (1,1,2) |\n| (A,:likes,I2) | (1,1,3) |\n| (A,:follows,B) | (1,2,4) |\n| (B,:related,h) | (4,3,5) |\n| (B,:follows,C) | (4,2,6) |\n| (B,:follows,D) | (4,2,7) |\n| (C,:likes,I2) | (6,1,3) |","| (C,:follows,D) | (6,2,7) |\n| --- | --- |\n| (D,:related,h) | (7,3,5) |",1]
["| DG | CDG |\n| --- | --- |\n| (A,:likes,I1) | (1,1,2) |\n| (A,:likes,I2) | (1,1,3) |\n| (A,:follows,B) | (1,2,4) |\n| (B,:related,h) | (4,3,5) |\n| (B,:follows,C) | (4,2,6) |\n| (B,:follows,D) | (4,2,7) |\n| (C,:likes,I2) | (6,1,3) |","| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |\n| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |\n| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |\n| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |\n| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",0]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.784 |  |  |  |  |  |","| FS.cont | 0.7364 | -0.0476 | 0.013 | 5 | 0 | 0.1968 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TOM.cont | 0.7617 | -0.0223 | 0.024 | 16 | 0 | 0.1495 |\n| HC.cont | 0.7932 | 0.0092 | 0.115 | 60 | 8 | 0.0456 |\n| Original.binary | 0.7884 | 0.0044 | 0.1648 | 60 | 2 | 0.0458 |\n| Jaccard | 0.7244 | -0.0596 | 0.0697 | 10 | 2 | 0.2298 |\n| Pvalue | 0.5765 | -0.2075 | -0.037 | 0 | 0 | 0.4829 |\n| FS.binary | 0.6396 | -0.1444 | -0.0285 | 0 | 0 | 0.3161 |\n| TOM.binary | 0.7713 | -0.0127 | 0.1076 | 27 | 1 | 0.1495 |\n| HC.binary | 0.7808 | -0.0032 | 0.1294 | 43 | 6 | 0.0827 |",1]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.784 |  |  |  |  |  |","| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7944 |  |  |  |  |  |\n| FS.cont | 0.7941 | −0.0003 | 0.0846 | 83 | 3 | 0.0662 |\n| TOM.cont | 0.8034 | 0.0089 | 0.0636 | 105 | 2 | 0.1782 |\n| HC.cont | 0.8266 | 0.0281 | 0.2244 | 109 | 34 | 0.1199 |\n| Original.binary | 0.7847 | −0.0097 | 0.0502 | 48 | 1 | 0.2222 |\n| Jaccard | 0.7291 | −0.0653 | 0.2738 | 28 | 18 | 0.4759 |\n| Pvalue | 0.6374 | −0.1570 | 0.1740 | 5 | 3 | 0.5691 |\n| FS.binary | 0.6750 | −0.1195 | 0.1740 | 5 | 1 | 0.4945 |\n| TOM.binary | 0.7365 | −0.0579 | 0.3332 | 23 | 9 | 0.3227 |\n| HC.binary | 0.7578 | −0.0367 | 0.2989 | 35 | 25 | 0.3773 |",0]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.784 |  |  |  |  |  |\n| FS.cont | 0.7364 | -0.0476 | 0.013 | 5 | 0 | 0.1968 |\n| TOM.cont | 0.7617 | -0.0223 | 0.024 | 16 | 0 | 0.1495 |\n| HC.cont | 0.7932 | 0.0092 | 0.115 | 60 | 8 | 0.0456 |\n| Original.binary | 0.7884 | 0.0044 | 0.1648 | 60 | 2 | 0.0458 |\n| Jaccard | 0.7244 | -0.0596 | 0.0697 | 10 | 2 | 0.2298 |\n| Pvalue | 0.5765 | -0.2075 | -0.037 | 0 | 0 | 0.4829 |","| FS.binary | 0.6396 | -0.1444 | -0.0285 | 0 | 0 | 0.3161 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TOM.binary | 0.7713 | -0.0127 | 0.1076 | 27 | 1 | 0.1495 |\n| HC.binary | 0.7808 | -0.0032 | 0.1294 | 43 | 6 | 0.0827 |",1]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.784 |  |  |  |  |  |\n| FS.cont | 0.7364 | -0.0476 | 0.013 | 5 | 0 | 0.1968 |\n| TOM.cont | 0.7617 | -0.0223 | 0.024 | 16 | 0 | 0.1495 |\n| HC.cont | 0.7932 | 0.0092 | 0.115 | 60 | 8 | 0.0456 |\n| Original.binary | 0.7884 | 0.0044 | 0.1648 | 60 | 2 | 0.0458 |\n| Jaccard | 0.7244 | -0.0596 | 0.0697 | 10 | 2 | 0.2298 |\n| Pvalue | 0.5765 | -0.2075 | -0.037 | 0 | 0 | 0.4829 |","| FS.cont | 0.7941 | −0.0003 | 0.0846 | 83 | 3 | 0.0662 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TOM.cont | 0.8034 | 0.0089 | 0.0636 | 105 | 2 | 0.1782 |\n| HC.cont | 0.8266 | 0.0281 | 0.2244 | 109 | 34 | 0.1199 |\n| Original.binary | 0.7847 | −0.0097 | 0.0502 | 48 | 1 | 0.2222 |\n| Jaccard | 0.7291 | −0.0653 | 0.2738 | 28 | 18 | 0.4759 |\n| Pvalue | 0.6374 | −0.1570 | 0.1740 | 5 | 3 | 0.5691 |\n| FS.binary | 0.6750 | −0.1195 | 0.1740 | 5 | 1 | 0.4945 |\n| TOM.binary | 0.7365 | −0.0579 | 0.3332 | 23 | 9 | 0.3227 |\n| HC.binary | 0.7578 | −0.0367 | 0.2989 | 35 | 25 | 0.3773 |",0]
["| NW | NW,CB | NW,N |\n| --- | --- | --- |\n| 0.910 | 0.924 | 0.917 |\n| 0.905 | 0.926 | 0.920 |\n| 0.901 | 0.929 | 0.923 |\n| 0.907 | 0.931 | 0.928 |","| 0.908 | 0.935 | 0.933 |\n| --- | --- | --- |\n| 0.910 | 0.933 | 0.939 |\n| 0.908 | 0.937 | 0.946 |\n| 0.902 | 0.938 | 0.942 |\n| 0.911 | 0.935 | 0.946 |\n| 0.907 | 0.935 | 0.954 |",1]
["| NW | NW,CB | NW,N |\n| --- | --- | --- |\n| 0.910 | 0.924 | 0.917 |\n| 0.905 | 0.926 | 0.920 |\n| 0.901 | 0.929 | 0.923 |\n| 0.907 | 0.931 | 0.928 |","| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 100 | 20 | 1.004 | 1.0047 | 1.0001 |\n| 160 | 20 | 1.5116 | 1.0612 | 1.0009 |\n| 160 | 40 | 1.065 | 1.0063 | 1.0 |\n| 208 | 52 | 2.2537 | 1.074 | 1.019 |\n| 240 | 60 | 1.0083 | 1.0045 | 1.0001 |\n| 300 | 75 | 1.8088 | 1.0478 | 1.0006 |\n| 312 | 52 | 1.7593 | 1.0475 | 1.0008 |\n| 320 | 32 | 1.0972 | 1.0015 | 1.0 |\n| 400 | 100 | 1.0058 | 1.0048 | 1.0 |\n| 416 | 52 | 1.0031 | 1.0048 | 1.0 |",0]
["| NW | NW,CB | NW,N |\n| --- | --- | --- |\n| 0.910 | 0.924 | 0.917 |\n| 0.905 | 0.926 | 0.920 |\n| 0.901 | 0.929 | 0.923 |\n| 0.907 | 0.931 | 0.928 |","| 0.908 | 0.935 | 0.933 |\n| --- | --- | --- |\n| 0.910 | 0.933 | 0.939 |\n| 0.908 | 0.937 | 0.946 |\n| 0.902 | 0.938 | 0.942 |\n| 0.911 | 0.935 | 0.946 |\n| 0.907 | 0.935 | 0.954 |",1]
["| NW | NW,CB | NW,N |\n| --- | --- | --- |\n| 0.910 | 0.924 | 0.917 |\n| 0.905 | 0.926 | 0.920 |\n| 0.901 | 0.929 | 0.923 |\n| 0.907 | 0.931 | 0.928 |","| 160 | 40 | 1.065 | 1.0063 | 1.0 |\n| --- | --- | --- | --- | --- |\n| 208 | 52 | 2.2537 | 1.074 | 1.019 |\n| 240 | 60 | 1.0083 | 1.0045 | 1.0001 |\n| 300 | 75 | 1.8088 | 1.0478 | 1.0006 |\n| 312 | 52 | 1.7593 | 1.0475 | 1.0008 |\n| 320 | 32 | 1.0972 | 1.0015 | 1.0 |\n| 400 | 100 | 1.0058 | 1.0048 | 1.0 |\n| 416 | 52 | 1.0031 | 1.0048 | 1.0 |",0]
["| # | Activity | Duration | Duedate |\n| --- | --- | --- | --- |\n| 1 | Protocolreviewandrevision | 07businessdays | 18.3.2016 |","| 2 | Searchforprimarystudies | 04businessdays | 24.3.2016 |\n| --- | --- | --- | --- |\n| 3 | Titleandabstractlevelscreening | 07businessdays | 06.4.2016 |\n| 4 | Full-textlevelscreening | 07businessdays | 15.4.2016 |\n| 5 | Qualityassessment | 02businessdays | 19.4.2016 |\n| 6 | Dataextraction | 05businessdays | 26.4.2016 |\n| 7 | Datasynthesis | 05businessdays | 03.5.2016 |\n| 8 | Initialdraftofpaper | 10businessdays | 18.5.2016 |",1]
["| # | Activity | Duration | Duedate |\n| --- | --- | --- | --- |\n| 1 | Protocolreviewandrevision | 07businessdays | 18.3.2016 |","| Name | Type | \\|V\\| | \\|E\\| | Indexingtime(original) | Indexsize(original) |\n| --- | --- | --- | --- | --- | --- |\n| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |\n| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |\n| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |\n| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",0]
["| # | Activity | Duration | Duedate |\n| --- | --- | --- | --- |\n| 1 | Protocolreviewandrevision | 07businessdays | 18.3.2016 |\n| 2 | Searchforprimarystudies | 04businessdays | 24.3.2016 |\n| 3 | Titleandabstractlevelscreening | 07businessdays | 06.4.2016 |\n| 4 | Full-textlevelscreening | 07businessdays | 15.4.2016 |\n| 5 | Qualityassessment | 02businessdays | 19.4.2016 |","| 6 | Dataextraction | 05businessdays | 26.4.2016 |\n| --- | --- | --- | --- |\n| 7 | Datasynthesis | 05businessdays | 03.5.2016 |\n| 8 | Initialdraftofpaper | 10businessdays | 18.5.2016 |",1]
["| # | Activity | Duration | Duedate |\n| --- | --- | --- | --- |\n| 1 | Protocolreviewandrevision | 07businessdays | 18.3.2016 |\n| 2 | Searchforprimarystudies | 04businessdays | 24.3.2016 |\n| 3 | Titleandabstractlevelscreening | 07businessdays | 06.4.2016 |\n| 4 | Full-textlevelscreening | 07businessdays | 15.4.2016 |\n| 5 | Qualityassessment | 02businessdays | 19.4.2016 |","| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| --- | --- | --- | --- | --- | --- |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |\n| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |\n| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",0]
["| Parametername | Meaning | Def.val. |\n| --- | --- | --- |\n| AVGNBFT | Averagenumberoffacttables | 1 |\n| AVGNBDIM | Averagenumberofdimensionsperfacttable | 5 |\n| AVGTOTNBDIM | Averagetotalnumberofdimensions | 5 |\n| AVGNBMEAS | Averagenumberofmeasuresinfacttables | 5 |","| AVGDENSITY | Averagedensityrateinfacttables | 0.6 |\n| --- | --- | --- |\n| AVGNBLEVELS | Averagenumberofhierarchylevelsindimensions | 3 |\n| AVGNBATT | Averagenumberofattributesinhierarchylevels | 5 |\n| AVGHHLEVELSIZE | Averagenumberoftuplesinhighesthierarchylevels | 10 |\n| DIMSFACTOR | Averagesizescalefactorwithinhierarchylevels | 10 |",1]
["| Parametername | Meaning | Def.val. |\n| --- | --- | --- |\n| AVGNBFT | Averagenumberoffacttables | 1 |\n| AVGNBDIM | Averagenumberofdimensionsperfacttable | 5 |\n| AVGTOTNBDIM | Averagetotalnumberofdimensions | 5 |\n| AVGNBMEAS | Averagenumberofmeasuresinfacttables | 5 |","| Numberofauthors | 343055 |\n| --- | --- |\n| Numberofpapers | 399713 |\n| Averagenumberofpapersbyanauthor | 9.07 |\n| Averagenumberofauthorsperpaper | 7.59 |\n| AveragenumberofPACScodesperauthor | 10.04 |\n| AveragenumberofPACScodesperpaper | 2.92 |\n| Averagediversityofauthor | 13.16 |\n| Averagediversityofpaper | 3.59 |\n| Averagecitationperpaper | 10.22 |",0]
["| Parametername | Meaning | Def.val. |\n| --- | --- | --- |\n| AVGNBFT | Averagenumberoffacttables | 1 |\n| AVGNBDIM | Averagenumberofdimensionsperfacttable | 5 |\n| AVGTOTNBDIM | Averagetotalnumberofdimensions | 5 |\n| AVGNBMEAS | Averagenumberofmeasuresinfacttables | 5 |\n| AVGDENSITY | Averagedensityrateinfacttables | 0.6 |","| AVGNBLEVELS | Averagenumberofhierarchylevelsindimensions | 3 |\n| --- | --- | --- |\n| AVGNBATT | Averagenumberofattributesinhierarchylevels | 5 |\n| AVGHHLEVELSIZE | Averagenumberoftuplesinhighesthierarchylevels | 10 |\n| DIMSFACTOR | Averagesizescalefactorwithinhierarchylevels | 10 |",1]
["| Parametername | Meaning | Def.val. |\n| --- | --- | --- |\n| AVGNBFT | Averagenumberoffacttables | 1 |\n| AVGNBDIM | Averagenumberofdimensionsperfacttable | 5 |\n| AVGTOTNBDIM | Averagetotalnumberofdimensions | 5 |\n| AVGNBMEAS | Averagenumberofmeasuresinfacttables | 5 |\n| AVGDENSITY | Averagedensityrateinfacttables | 0.6 |","| Averagediversityofpaper | 3.59 |\n| --- | --- |\n| Averagecitationperpaper | 10.22 |",0]
["| State-of-the-artMethods |  |  |  |\n| --- | --- | --- | --- |\n| Method | Accuracy | Method | Accuracy |\n| SPMK | 74.00 | BoVW | 71.68 |\n| SPCK++ | 77.38 | BRSP | 77.80 |\n| UFL | 90.26 | SC+Pooling | 81.67 |\n| Partlets | 91.33 | PSR | 89.10 |\n| ProposedMethods |  |  |  |","| Method | Accuracy | Method | Accuracy |\n| --- | --- | --- | --- |\n| ADPM-192 | 92.67 | ADPM-227 | 92.04 |\n| ADPM-256 | 93.52 | Multi-scaleADPM | 94.86 |",1]
["| State-of-the-artMethods |  |  |  |\n| --- | --- | --- | --- |\n| Method | Accuracy | Method | Accuracy |\n| SPMK | 74.00 | BoVW | 71.68 |\n| SPCK++ | 77.38 | BRSP | 77.80 |\n| UFL | 90.26 | SC+Pooling | 81.67 |\n| Partlets | 91.33 | PSR | 89.10 |\n| ProposedMethods |  |  |  |","| Method | Accuracy |\n| --- | --- |\n| SCMF | 78.32 |\n| MKL | 67.32 |\n| SSEP | 73.82 |\n| ADPM-227 | 82.14 |\n| ADPM-256 | 83.71 |\n| ADPM-384 | 81.91 |\n| Multi-scaleADPM | 84.67 |",0]
["| State-of-the-artMethods |  |  |  |\n| --- | --- | --- | --- |\n| Method | Accuracy | Method | Accuracy |\n| SPMK | 74.00 | BoVW | 71.68 |\n| SPCK++ | 77.38 | BRSP | 77.80 |\n| UFL | 90.26 | SC+Pooling | 81.67 |\n| Partlets | 91.33 | PSR | 89.10 |\n| ProposedMethods |  |  |  |\n| Method | Accuracy | Method | Accuracy |","| ADPM-192 | 92.67 | ADPM-227 | 92.04 |\n| --- | --- | --- | --- |\n| ADPM-256 | 93.52 | Multi-scaleADPM | 94.86 |",1]
["| State-of-the-artMethods |  |  |  |\n| --- | --- | --- | --- |\n| Method | Accuracy | Method | Accuracy |\n| SPMK | 74.00 | BoVW | 71.68 |\n| SPCK++ | 77.38 | BRSP | 77.80 |\n| UFL | 90.26 | SC+Pooling | 81.67 |\n| Partlets | 91.33 | PSR | 89.10 |\n| ProposedMethods |  |  |  |\n| Method | Accuracy | Method | Accuracy |","| MKL | 67.32 |\n| --- | --- |\n| SSEP | 73.82 |\n| ADPM-227 | 82.14 |\n| ADPM-256 | 83.71 |\n| ADPM-384 | 81.91 |\n| Multi-scaleADPM | 84.67 |",0]
["| Gridsize | 2<br>Areapercell[km] |\n| --- | --- |\n| 50×50 | 40 |","| 100×100 | 10 |\n| --- | --- |\n| 200×200 | 2.5 |\n| 400×400 | 0.625 |",1]
["| Gridsize | 2<br>Areapercell[km] |\n| --- | --- |\n| 50×50 | 40 |","| 1(1024) | 2(512) |\n| --- | --- |\n| 2<br>Area(µm)Power(µW) | 2<br>Area(µm)Power(µW) |\n| 243.5 | 749.8 |\n| 639.4 | 10717.2 |\n| –– | 42462.1 |\n| 42457.1 | 44065.1 |",0]
["| Gridsize | 2<br>Areapercell[km] |\n| --- | --- |\n| 50×50 | 40 |","| 100×100 | 10 |\n| --- | --- |\n| 200×200 | 2.5 |\n| 400×400 | 0.625 |",1]
["| Gridsize | 2<br>Areapercell[km] |\n| --- | --- |\n| 50×50 | 40 |","| 639.4 | 10717.2 |\n| --- | --- |\n| –– | 42462.1 |\n| 42457.1 | 44065.1 |",0]
["| BucketI | BucketII | BucketIII |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 1 | CRDImean | 10 | PNAmean | 19 | EDImean |\n| 2 | CRDImedian | 11 | PNAmedian | 20 | EDImedian |\n| 3 | CRDIstddev | 12 | PNAstddev | 21 | EDIstddev |\n| 4 | CKDImean | 13 | CAAImean | 22 | ACCmean |","| 5 | CKDImedian | 14 | CAAImedian | 23 | ACCmedian |\n| --- | --- | --- | --- | --- | --- |\n| 6 | CKDIstddev | 15 | CAAIstddev | 24 | ACCstddev |\n| 7 | CADImean | 16 | DDImean | 25 | ABCmean |\n| 8 | CADImedian | 17 | DDImedian | 26 | ABCmedian |\n| 9 | CADIstddev | 18 | DDIstddev | 27 | ABCstddev |",1]
["| BucketI | BucketII | BucketIII |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 1 | CRDImean | 10 | PNAmean | 19 | EDImean |\n| 2 | CRDImedian | 11 | PNAmedian | 20 | EDImedian |\n| 3 | CRDIstddev | 12 | PNAstddev | 21 | EDIstddev |\n| 4 | CKDImean | 13 | CAAImean | 22 | ACCmean |","|  | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |\n| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |\n| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |\n| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",0]
["| BucketI | BucketII | BucketIII |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 1 | CRDImean | 10 | PNAmean | 19 | EDImean |\n| 2 | CRDImedian | 11 | PNAmedian | 20 | EDImedian |","| 3 | CRDIstddev | 12 | PNAstddev | 21 | EDIstddev |\n| --- | --- | --- | --- | --- | --- |\n| 4 | CKDImean | 13 | CAAImean | 22 | ACCmean |\n| 5 | CKDImedian | 14 | CAAImedian | 23 | ACCmedian |\n| 6 | CKDIstddev | 15 | CAAIstddev | 24 | ACCstddev |\n| 7 | CADImean | 16 | DDImean | 25 | ABCmean |\n| 8 | CADImedian | 17 | DDImedian | 26 | ABCmedian |\n| 9 | CADIstddev | 18 | DDIstddev | 27 | ABCstddev |",1]
["| BucketI | BucketII | BucketIII |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 1 | CRDImean | 10 | PNAmean | 19 | EDImean |\n| 2 | CRDImedian | 11 | PNAmedian | 20 | EDImedian |","| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",0]
["| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |\n| splice | 60 | 3,175 | 3 |","| waveform | 40 | 5,000 | 3 |\n| --- | --- | --- | --- |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",1]
["| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |\n| splice | 60 | 3,175 | 3 |","| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |","| splice | 60 | 3,175 | 3 |\n| --- | --- | --- | --- |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",1]
["| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |","| German | 1000 | 2 | 20 |\n| --- | --- | --- | --- |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Method | R | P | F | F(mostactive) | F(leastactive) |\n| --- | --- | --- | --- | --- | --- |\n| RandomChoice | 0.001593 | 0.04874 | 0.003084 | - | - |\n| Pengetal. | 0.001636 | 0.10046 | 0.003190 | - | - |\n| Pengetal.(topic-based) | 0.001797 | 0.05881 | 0.003485 | - | - |\n| VectorSpace. | 0.001883 | 0.24242 | 0.003685 | - | - |\n| proposed,d=0.0 | 0.001874 | 0.09176 | 0.003641 | 0.003967 | 0.003325 |\n| proposed,d=0.1 | 0.001851 | 0.08408 | 0.003594 | 0.003939 | 0.003262 |\n| proposed,d=0.2 | 0.001892 | 0.09261 | 0.003678 | 0.003976 | 0.003395 |\n| proposed,d=0.3 | 0.001743 | 0.09295 | 0.003393 | 0.003733 | 0.003070 |\n| proposed,d=0.4 | 0.001748 | 0.10385 | 0.003404 | 0.003728 | 0.003102 |","| proposed,d=0.5 | 0.001798 | 0.11824 | 0.003404 | 0.003965 | 0.003086 |\n| --- | --- | --- | --- | --- | --- |\n| proposed,d=0.6 | 0.001815 | 0.11714 | 0.003539 | 0.003829 | 0.003275 |\n| proposed,d=0.7 | 0.001878 | 0.12024 | 0.003658 | 0.003919 | 0.003412 |\n| proposed,d=0.8 | 0.001987 | 0.12815 | 0.003859 | 0.004099 | 0.003650 |\n| proposed,d=0.9 | 0.002221 | 0.09837 | 0.004318 | 0.004577 | 0.004076 |\n| proposed,d=1.0 | 0.002019 | 0.12618 | 0.003925 | 0.003775 | 0.004070 |",1]
["| Method | R | P | F | F(mostactive) | F(leastactive) |\n| --- | --- | --- | --- | --- | --- |\n| RandomChoice | 0.001593 | 0.04874 | 0.003084 | - | - |\n| Pengetal. | 0.001636 | 0.10046 | 0.003190 | - | - |\n| Pengetal.(topic-based) | 0.001797 | 0.05881 | 0.003485 | - | - |\n| VectorSpace. | 0.001883 | 0.24242 | 0.003685 | - | - |\n| proposed,d=0.0 | 0.001874 | 0.09176 | 0.003641 | 0.003967 | 0.003325 |\n| proposed,d=0.1 | 0.001851 | 0.08408 | 0.003594 | 0.003939 | 0.003262 |\n| proposed,d=0.2 | 0.001892 | 0.09261 | 0.003678 | 0.003976 | 0.003395 |\n| proposed,d=0.3 | 0.001743 | 0.09295 | 0.003393 | 0.003733 | 0.003070 |\n| proposed,d=0.4 | 0.001748 | 0.10385 | 0.003404 | 0.003728 | 0.003102 |","| Method | Covered<br>Population |\n| --- | --- |\n| RandomChoice | 47.0 |\n| Pengelal. | 106.9 |\n| Pengetal.(Topic-based) | 56.0 |\n| VectorSpace | 120.7 |\n| proposed,d=0.0 | 103.9 |\n| proposed,d=0.1 | 103.7 |\n| proposed,d=0.2 | 93.0 |\n| proposed,d=0.3 | 91.8 |\n| proposed,d=0.4 | 92.0 |\n| proposed,d=0.5 | 85.2 |\n| proposed,d=0.6 | 75.9 |\n| proposed,d=0.7 | 74.0 |\n| proposed,d=0.8 | 69.4 |\n| proposed,d=0.9 | 62.3 |\n| proposed,d=1.0 | 56.6 |",0]
["| Method | R | P | F | F(mostactive) | F(leastactive) |\n| --- | --- | --- | --- | --- | --- |\n| RandomChoice | 0.001593 | 0.04874 | 0.003084 | - | - |\n| Pengetal. | 0.001636 | 0.10046 | 0.003190 | - | - |\n| Pengetal.(topic-based) | 0.001797 | 0.05881 | 0.003485 | - | - |\n| VectorSpace. | 0.001883 | 0.24242 | 0.003685 | - | - |\n| proposed,d=0.0 | 0.001874 | 0.09176 | 0.003641 | 0.003967 | 0.003325 |","| proposed,d=0.1 | 0.001851 | 0.08408 | 0.003594 | 0.003939 | 0.003262 |\n| --- | --- | --- | --- | --- | --- |\n| proposed,d=0.2 | 0.001892 | 0.09261 | 0.003678 | 0.003976 | 0.003395 |\n| proposed,d=0.3 | 0.001743 | 0.09295 | 0.003393 | 0.003733 | 0.003070 |\n| proposed,d=0.4 | 0.001748 | 0.10385 | 0.003404 | 0.003728 | 0.003102 |\n| proposed,d=0.5 | 0.001798 | 0.11824 | 0.003404 | 0.003965 | 0.003086 |\n| proposed,d=0.6 | 0.001815 | 0.11714 | 0.003539 | 0.003829 | 0.003275 |\n| proposed,d=0.7 | 0.001878 | 0.12024 | 0.003658 | 0.003919 | 0.003412 |\n| proposed,d=0.8 | 0.001987 | 0.12815 | 0.003859 | 0.004099 | 0.003650 |\n| proposed,d=0.9 | 0.002221 | 0.09837 | 0.004318 | 0.004577 | 0.004076 |\n| proposed,d=1.0 | 0.002019 | 0.12618 | 0.003925 | 0.003775 | 0.004070 |",1]
["| Method | R | P | F | F(mostactive) | F(leastactive) |\n| --- | --- | --- | --- | --- | --- |\n| RandomChoice | 0.001593 | 0.04874 | 0.003084 | - | - |\n| Pengetal. | 0.001636 | 0.10046 | 0.003190 | - | - |\n| Pengetal.(topic-based) | 0.001797 | 0.05881 | 0.003485 | - | - |\n| VectorSpace. | 0.001883 | 0.24242 | 0.003685 | - | - |\n| proposed,d=0.0 | 0.001874 | 0.09176 | 0.003641 | 0.003967 | 0.003325 |","| proposed,d=0.0 | 103.9 |\n| --- | --- |\n| proposed,d=0.1 | 103.7 |\n| proposed,d=0.2 | 93.0 |\n| proposed,d=0.3 | 91.8 |\n| proposed,d=0.4 | 92.0 |\n| proposed,d=0.5 | 85.2 |\n| proposed,d=0.6 | 75.9 |\n| proposed,d=0.7 | 74.0 |\n| proposed,d=0.8 | 69.4 |\n| proposed,d=0.9 | 62.3 |\n| proposed,d=1.0 | 56.6 |",0]
["| Graph | δ=1<br>MeanMax | δ=2<br>MeanMax | δ=3<br>MeanMax |\n| --- | --- | --- | --- |\n|  | 61309 | 3422760 | 12076113 |\n|  | 7550 | 421397 | 1565723 |\n|  | 51398 | 5444330 | 27145939 |\n|  | 23505 | 5196065 | 451714659 |\n|  | 8344 | 885417 | 105248236 |\n|  | 131384 | 90516745 | 931930572 |\n|  | 886313 | 774436371 | 3251236371 |\n|  | 75578 | 10931578 | 16221656 |\n|  | 83376 | 10561406 | 14261445 |\n|  | 50406 | 10382332 | 24272664 |\n|  | 76671 | 12932150 | 21712248 |\n|  | 6356 | 594282 | 57415971 |","|  | 179778 | 584518625 | 1512818625 |\n| --- | --- | --- | --- |\n|  | 420 | 1061 | 23142 |",1]
["| Graph | δ=1<br>MeanMax | δ=2<br>MeanMax | δ=3<br>MeanMax |\n| --- | --- | --- | --- |\n|  | 61309 | 3422760 | 12076113 |\n|  | 7550 | 421397 | 1565723 |\n|  | 51398 | 5444330 | 27145939 |\n|  | 23505 | 5196065 | 451714659 |\n|  | 8344 | 885417 | 105248236 |\n|  | 131384 | 90516745 | 931930572 |\n|  | 886313 | 774436371 | 3251236371 |\n|  | 75578 | 10931578 | 16221656 |\n|  | 83376 | 10561406 | 14261445 |\n|  | 50406 | 10382332 | 24272664 |\n|  | 76671 | 12932150 | 21712248 |\n|  | 6356 | 594282 | 57415971 |","| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 |  | 2687 |  | 3236 |\n| data | 190 | 188 | 405 | 383 | 699 | 660 |  | 1162 |  | 1865 |  | 2885 |\n| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 |  | 969 |  | 1564 |\n| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 |  | 258 |  | 438 |\n| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 |  | 493 |\n| bcsstk33 | 10105 | 10097 | 21756 | 21508 | 34377 | 34178 | 56687 | 54860 |  | 78132 |  | 108505 |\n| whitaker3 | 126 | 126 | 382 | 380 | 670 | 656 | 1163 | 1093 |  | 1717 |  | 2567 |\n| crack | 184 | 183 | 370 | 362 | 696 | 678 | 1183 | 1092 |  | 1707 |  | 2566 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19267 | 19199 | 25190 | 24553 | 35514 | 32167 | 46331 | 41399 |  | 49521 |\n| bcsstk29 | 2818 | 2818 | 8035 | 8159 | 14212 | 13965 | 23808 | 21768 |  | 34886 |  | 57054 |\n| 4elt | 138 | 138 | 325 | 321 | 561 | 534 | 1009 | 939 |  | 1559 |  | 2596 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 950 | 944 | 1815 | 1802 | 3056 | 2906 | 5044 | 4223 |  | 5875 |\n| memplus | 5698 | 5489 | 10234 | 9559 | 12599 | 11785 | 14410 | 13241 | 16340 | 14395 |  | 16857 |\n| cs4 | 378 | 367 | 970 | 940 | 1520 | 1467 | 2285 | 2206 | 3521 | 3090 |  | 4169 |\n| bcsstk30 | 6347 | 6335 | 16617 | 16622 | 34761 | 34604 | 72028 | 71234 |  | 115770 |  | 173945 |\n| bcsstk31 | 2723 | 2701 | 7351 | 7444 | 13371 | 13417 | 24791 | 24277 | 42745 | 38086 |  | 60528 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4667 | 4667 | 9247 | 9492 | 20855 | 21490 | 37372 | 37673 | 72471 | 61144 |  | 95199 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 78 | 75 | 213 | 211 | 470 | 465 | 866 | 849 | 1493 | 1391 |  | 2211 |\n| wing | 803 | 787 | 1683 | 1666 | 2616 | 2589 | 4147 | 4131 | 6271 | 5902 |  | 8132 |\n| brack2 | 708 | 708 | 3027 | 3038 | 7144 | 7269 | 11969 | 11983 | 18496 | 17798 |  | 26557 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 |  | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",0]
["| Graph | δ=1<br>MeanMax | δ=2<br>MeanMax | δ=3<br>MeanMax |\n| --- | --- | --- | --- |\n|  | 61309 | 3422760 | 12076113 |\n|  | 7550 | 421397 | 1565723 |\n|  | 51398 | 5444330 | 27145939 |\n|  | 23505 | 5196065 | 451714659 |\n|  | 8344 | 885417 | 105248236 |\n|  | 131384 | 90516745 | 931930572 |\n|  | 886313 | 774436371 | 3251236371 |\n|  | 75578 | 10931578 | 16221656 |\n|  | 83376 | 10561406 | 14261445 |\n|  | 50406 | 10382332 | 24272664 |","|  | 76671 | 12932150 | 21712248 |\n| --- | --- | --- | --- |\n|  | 6356 | 594282 | 57415971 |\n|  | 179778 | 584518625 | 1512818625 |\n|  | 420 | 1061 | 23142 |",1]
["| Graph | δ=1<br>MeanMax | δ=2<br>MeanMax | δ=3<br>MeanMax |\n| --- | --- | --- | --- |\n|  | 61309 | 3422760 | 12076113 |\n|  | 7550 | 421397 | 1565723 |\n|  | 51398 | 5444330 | 27145939 |\n|  | 23505 | 5196065 | 451714659 |\n|  | 8344 | 885417 | 105248236 |\n|  | 131384 | 90516745 | 931930572 |\n|  | 886313 | 774436371 | 3251236371 |\n|  | 75578 | 10931578 | 16221656 |\n|  | 83376 | 10561406 | 14261445 |\n|  | 50406 | 10382332 | 24272664 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t60k | 78 | 75 | 213 | 211 | 470 | 465 | 866 | 849 | 1493 | 1391 |  | 2211 |\n| wing | 803 | 787 | 1683 | 1666 | 2616 | 2589 | 4147 | 4131 | 6271 | 5902 |  | 8132 |\n| brack2 | 708 | 708 | 3027 | 3038 | 7144 | 7269 | 11969 | 11983 | 18496 | 17798 |  | 26557 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 |  | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 35.3 | 243.6 | 2313.4 |\n| MySQL | 4.1 | 117.8 | 844.8 |\n| PostgreSQL | 3.7 | 19.4 | 663.5 |\n| MongoDB | 1 | 6 | 43.5 |","| CouchDB | 2.14 | 30.44 | 307.54 |\n| --- | --- | --- | --- |\n| Couchbase | 4.34 | 34.89 | 345.77 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 35.3 | 243.6 | 2313.4 |\n| MySQL | 4.1 | 117.8 | 844.8 |\n| PostgreSQL | 3.7 | 19.4 | 663.5 |\n| MongoDB | 1 | 6 | 43.5 |","| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 2000 | 6000 | 53000 |\n| MySQL | 112 | 2529.8 | 32897.9 |\n| PostgreSQL | 86.8 | 2040.6 | 16465.2 |\n| MongoDB | 26.4 | 321.4 | 7814.6 |\n| CouchDB | 2.1 | 18.73 | 227.22 |\n| Couchbase | 45.83 | 445.72 | 7578.98 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 35.3 | 243.6 | 2313.4 |\n| MySQL | 4.1 | 117.8 | 844.8 |\n| PostgreSQL | 3.7 | 19.4 | 663.5 |\n| MongoDB | 1 | 6 | 43.5 |","| CouchDB | 2.14 | 30.44 | 307.54 |\n| --- | --- | --- | --- |\n| Couchbase | 4.34 | 34.89 | 345.77 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 35.3 | 243.6 | 2313.4 |\n| MySQL | 4.1 | 117.8 | 844.8 |\n| PostgreSQL | 3.7 | 19.4 | 663.5 |\n| MongoDB | 1 | 6 | 43.5 |","| PostgreSQL | 86.8 | 2040.6 | 16465.2 |\n| --- | --- | --- | --- |\n| MongoDB | 26.4 | 321.4 | 7814.6 |\n| CouchDB | 2.1 | 18.73 | 227.22 |\n| Couchbase | 45.83 | 445.72 | 7578.98 |",0]
["| Machine | Compiler | MPI |\n| --- | --- | --- |\n| BlueGene/P<br>BlueGene/Q | IBMXL | IBM(MPICH2-based) |","| Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 |\n| --- | --- | --- |\n| Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 |\n| XeonHost<br>XeonPhi | Intel15.0.2<br>Intel15.0.2 | Intel5.1.1<br>Intel5.1.1 |\n| SGIICEXA | Intel15.0.5 | SGIMPT2.14 |",1]
["| Machine | Compiler | MPI |\n| --- | --- | --- |\n| BlueGene/P<br>BlueGene/Q | IBMXL | IBM(MPICH2-based) |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| Machine | Compiler | MPI |\n| --- | --- | --- |\n| BlueGene/P<br>BlueGene/Q | IBMXL | IBM(MPICH2-based) |\n| Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 |","| Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 |\n| --- | --- | --- |\n| XeonHost<br>XeonPhi | Intel15.0.2<br>Intel15.0.2 | Intel5.1.1<br>Intel5.1.1 |\n| SGIICEXA | Intel15.0.5 | SGIMPT2.14 |",1]
["| Machine | Compiler | MPI |\n| --- | --- | --- |\n| BlueGene/P<br>BlueGene/Q | IBMXL | IBM(MPICH2-based) |\n| Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 |","| GPUModel | TeslaK20c |\n| --- | --- |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| Usage |\n| --- |\n| TMtrain |\n| LMtrain |\n| train |","| dev |\n| --- |\n| test<br>test |",1]
["| Usage |\n| --- |\n| TMtrain |\n| LMtrain |\n| train |","| Usage |\n| --- |\n| train |\n| dev |\n| test |\n| test |\n| test |\n| test |",0]
["| Usage |\n| --- |\n| TMtrain |\n| LMtrain |\n| train |","| dev |\n| --- |\n| test<br>test |",1]
["| Usage |\n| --- |\n| TMtrain |\n| LMtrain |\n| train |","| test |\n| --- |\n| test |\n| test |\n| test |",0]
["| Name | Kernel | Str. | ChI/O | Input |\n| --- | --- | --- | --- | --- |\n| conv1 | 7×7 | 1 | 8/32 | Images/Flow |\n| conv2 | 7×7 | 1 | 32/64 | conv1 |","| deconv2 | 7×7 | 1 | 64/32 | conv2 |\n| --- | --- | --- | --- | --- |\n| deconv1 | 7×7 | 1 | 32/16 | deconv2 |\n| deconv0 | 7×7 | 1 | 16/2 | deconv1 |",1]
["| Name | Kernel | Str. | ChI/O | Input |\n| --- | --- | --- | --- | --- |\n| conv1 | 7×7 | 1 | 8/32 | Images/Flow |\n| conv2 | 7×7 | 1 | 32/64 | conv1 |","|  | Bit | CNT2 | CNT1 |\n| --- | --- | --- | --- |\n| Conv-FF | 16 | H,WKK | W×HKK |\n| Conv-BP | 32 | H,WKK | W×HKK |\n| Conv-UP | 32 | P,L | L |\n| FC-FF | 16 | P,L | L |\n| FC-BP | 32 | P,L | L |\n| FC-UP | 32 | h | 1 |",0]
["| Name | Kernel | Str. | ChI/O | Input |\n| --- | --- | --- | --- | --- |\n| conv1 | 7×7 | 1 | 8/32 | Images/Flow |\n| conv2 | 7×7 | 1 | 32/64 | conv1 |","| deconv2 | 7×7 | 1 | 64/32 | conv2 |\n| --- | --- | --- | --- | --- |\n| deconv1 | 7×7 | 1 | 32/16 | deconv2 |\n| deconv0 | 7×7 | 1 | 16/2 | deconv1 |",1]
["| Name | Kernel | Str. | ChI/O | Input |\n| --- | --- | --- | --- | --- |\n| conv1 | 7×7 | 1 | 8/32 | Images/Flow |\n| conv2 | 7×7 | 1 | 32/64 | conv1 |","| FC-FF | 16 | P,L | L |\n| --- | --- | --- | --- |\n| FC-BP | 32 | P,L | L |\n| FC-UP | 32 | h | 1 |",0]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |","| (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE |\n| --- | --- | --- |\n| numberofciphertexts |  |  |\n| 2NI | 2I | 2 |\n| ciphertextsproducts |  |  |\n| NI | I | 1 |",1]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |","| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (N+F−1)hRLWE | (N+F−1)h2−RLWE | (N+F−1)hI3−RLWE |\n| numberofciphertexts |  |  |\n| (N+F)I | 2I | 2 |\n| ciphertextsproducts |  |  |\n| NFI | I | 1 |",0]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE |","| numberofciphertexts |  |  |\n| --- | --- | --- |\n| 2NI | 2I | 2 |\n| ciphertextsproducts |  |  |\n| NI | I | 1 |",1]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE |","| ciphertextsproducts |  |  |\n| --- | --- | --- |\n| NFI | I | 1 |",0]
["| Sequence | Lanes | Incorrectdetection | Misdetection |\n| --- | --- | --- | --- |\n| 1 | 860 | 0 | 0 |\n| 2 | 594 | 0 | 0 |\n| 3 | 376 | 0 | 0 |\n| 4 | 156 | 0 | 9 |\n| 5 | 678 | 0 | 17 |","| 6 | 1060 | 14 | 7 |\n| --- | --- | --- | --- |\n| Total | 3724 | 14 | 33 |",1]
["| Sequence | Lanes | Incorrectdetection | Misdetection |\n| --- | --- | --- | --- |\n| 1 | 860 | 0 | 0 |\n| 2 | 594 | 0 | 0 |\n| 3 | 376 | 0 | 0 |\n| 4 | 156 | 0 | 9 |\n| 5 | 678 | 0 | 17 |","| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |\n| 800 | 3200 | 12800 |\n| 1568 | 6272 | 25088 |",0]
["| Sequence | Lanes | Incorrectdetection | Misdetection |\n| --- | --- | --- | --- |\n| 1 | 860 | 0 | 0 |\n| 2 | 594 | 0 | 0 |\n| 3 | 376 | 0 | 0 |\n| 4 | 156 | 0 | 9 |","| 5 | 678 | 0 | 17 |\n| --- | --- | --- | --- |\n| 6 | 1060 | 14 | 7 |\n| Total | 3724 | 14 | 33 |",1]
["| Sequence | Lanes | Incorrectdetection | Misdetection |\n| --- | --- | --- | --- |\n| 1 | 860 | 0 | 0 |\n| 2 | 594 | 0 | 0 |\n| 3 | 376 | 0 | 0 |\n| 4 | 156 | 0 | 9 |","| 288 | 1152 | 4608 |\n| --- | --- | --- |\n| 800 | 3200 | 12800 |\n| 1568 | 6272 | 25088 |",0]
["| network | τ(G) | σ(G) | θ(G) |\n| --- | --- | --- | --- |\n| cithepph | 0.22 | 0.56 | 0.37 |\n| cithepth | 0.2 | 0.53 | 0.36 |\n| colastroph | 0.24 | 0.51 | 0.49 |\n| colcondmat | 0.37 | 0.64 | 0.76 |\n| colgrqc | 0.44 | 0.79 | 0.89 |\n| colhepph | 0.26 | 0.58 | 0.7 |\n| colhepth | 0.39 | 0.69 | 0.83 |\n| emailenron | 0.21 | 0.5 | 0.63 |\n| emaileuall | 0.39 | 0.73 | 0.76 |\n| p2p4 | 0.11 | 0.38 | 0.36 |\n| p2p5 | 0.11 | 0.4 | 0.36 |\n| p2p6 | 0.12 | 0.39 | 0.38 |","| p2p8 | 0.15 | 0.46 | 0.46 |\n| --- | --- | --- | --- |\n| p2p9 | 0.15 | 0.46 | 0.42 |\n| p2p24 | 0.21 | 0.47 | 0.48 |\n| p2p25 | 0.23 | 0.49 | 0.5 |\n| p2p30 | 0.24 | 0.5 | 0.53 |\n| p2p31 | 0.25 | 0.5 | 0.52 |\n| roadnetca | 0.67 | 0.99 | 0.98 |\n| roadnetpa | 0.66 | 0.99 | 0.98 |\n| roadnettx | 0.67 | 0.99 | 0.98 |",1]
["| network | τ(G) | σ(G) | θ(G) |\n| --- | --- | --- | --- |\n| cithepph | 0.22 | 0.56 | 0.37 |\n| cithepth | 0.2 | 0.53 | 0.36 |\n| colastroph | 0.24 | 0.51 | 0.49 |\n| colcondmat | 0.37 | 0.64 | 0.76 |\n| colgrqc | 0.44 | 0.79 | 0.89 |\n| colhepph | 0.26 | 0.58 | 0.7 |\n| colhepth | 0.39 | 0.69 | 0.83 |\n| emailenron | 0.21 | 0.5 | 0.63 |\n| emaileuall | 0.39 | 0.73 | 0.76 |\n| p2p4 | 0.11 | 0.38 | 0.36 |\n| p2p5 | 0.11 | 0.4 | 0.36 |\n| p2p6 | 0.12 | 0.39 | 0.38 |","| t,T | at | bt | pA,t | PA,t |\n| --- | --- | --- | --- | --- |\n| 0,1 | 0.080 | 0 | 0.500 | 0.722 |\n| 5,2 | 0 | 0.117 | 0.722 | 0.839 |\n| 10,3 | 0 | 0.261 | 0839 | 0.564 |\n| 15,4 | 0 | 0.055 | 0.564 | 0.712 |\n| 20,5 | 0 | 0.077 | 0.712 | 0.903 |\n| 25,6 | 0 | 0.154 | 0.903 | 0.803 |\n| 30,7 | 0 | 0.251 | 0.803 | 0.576 |\n| 35,8 | 0 | 0.108 | 0.576 | 0.590 |\n| 40,9 | 0 | 0.176 | 0.590 | 0.437 |\n| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",0]
["| network | τ(G) | σ(G) | θ(G) |\n| --- | --- | --- | --- |\n| cithepph | 0.22 | 0.56 | 0.37 |\n| cithepth | 0.2 | 0.53 | 0.36 |\n| colastroph | 0.24 | 0.51 | 0.49 |\n| colcondmat | 0.37 | 0.64 | 0.76 |\n| colgrqc | 0.44 | 0.79 | 0.89 |\n| colhepph | 0.26 | 0.58 | 0.7 |\n| colhepth | 0.39 | 0.69 | 0.83 |\n| emailenron | 0.21 | 0.5 | 0.63 |\n| emaileuall | 0.39 | 0.73 | 0.76 |\n| p2p4 | 0.11 | 0.38 | 0.36 |\n| p2p5 | 0.11 | 0.4 | 0.36 |\n| p2p6 | 0.12 | 0.39 | 0.38 |\n| p2p8 | 0.15 | 0.46 | 0.46 |","| p2p9 | 0.15 | 0.46 | 0.42 |\n| --- | --- | --- | --- |\n| p2p24 | 0.21 | 0.47 | 0.48 |\n| p2p25 | 0.23 | 0.49 | 0.5 |\n| p2p30 | 0.24 | 0.5 | 0.53 |\n| p2p31 | 0.25 | 0.5 | 0.52 |\n| roadnetca | 0.67 | 0.99 | 0.98 |\n| roadnetpa | 0.66 | 0.99 | 0.98 |\n| roadnettx | 0.67 | 0.99 | 0.98 |",1]
["| network | τ(G) | σ(G) | θ(G) |\n| --- | --- | --- | --- |\n| cithepph | 0.22 | 0.56 | 0.37 |\n| cithepth | 0.2 | 0.53 | 0.36 |\n| colastroph | 0.24 | 0.51 | 0.49 |\n| colcondmat | 0.37 | 0.64 | 0.76 |\n| colgrqc | 0.44 | 0.79 | 0.89 |\n| colhepph | 0.26 | 0.58 | 0.7 |\n| colhepth | 0.39 | 0.69 | 0.83 |\n| emailenron | 0.21 | 0.5 | 0.63 |\n| emaileuall | 0.39 | 0.73 | 0.76 |\n| p2p4 | 0.11 | 0.38 | 0.36 |\n| p2p5 | 0.11 | 0.4 | 0.36 |\n| p2p6 | 0.12 | 0.39 | 0.38 |\n| p2p8 | 0.15 | 0.46 | 0.46 |","| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| --- | --- | --- | --- | --- |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",0]
["| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |\n| --- | --- | --- | --- | --- |\n| 343220 | Normalrhythm | 1 | 10000 | Trainin |\n| 33093 | Normalrhythm | 1 | 10000 | Trainin |\n| 343220 | Normalrhythm | 3000 | 65000 | Validati |","| 33093 | Normalrhythm | 3000 | 65000 | Validati |\n| --- | --- | --- | --- | --- |\n| 221708 | Normalrhythm | 1 | 65000 | Testing |\n| 343300 | Ventricularﬂutter | 3000 | 6000 | Trainin<br>&<br>Validati |\n| 176230 | Ventricularﬂutter | 3000 | 6000 | Trainin<br>&<br>Validati |\n| 198a385 | Ventricularﬂutter | 10000 | 15000 | Testing |",1]
["| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |\n| --- | --- | --- | --- | --- |\n| 343220 | Normalrhythm | 1 | 10000 | Trainin |\n| 33093 | Normalrhythm | 1 | 10000 | Trainin |\n| 343220 | Normalrhythm | 3000 | 65000 | Validati |","| MedLine | Prec | Rec | F-score | Lx | errorTest |\n| --- | --- | --- | --- | --- | --- |\n| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |\n| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |\n| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |\n| DrugBank | Prec | Rec | F-score | Lx | errorTest |\n| (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |\n| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |\n| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 |",0]
["| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |\n| --- | --- | --- | --- | --- |\n| 343220 | Normalrhythm | 1 | 10000 | Trainin |\n| 33093 | Normalrhythm | 1 | 10000 | Trainin |\n| 343220 | Normalrhythm | 3000 | 65000 | Validati |\n| 33093 | Normalrhythm | 3000 | 65000 | Validati |\n| 221708 | Normalrhythm | 1 | 65000 | Testing |\n| 343300 | Ventricularﬂutter | 3000 | 6000 | Trainin<br>&<br>Validati |","| 176230 | Ventricularﬂutter | 3000 | 6000 | Trainin<br>&<br>Validati |\n| --- | --- | --- | --- | --- |\n| 198a385 | Ventricularﬂutter | 10000 | 15000 | Testing |",1]
["| PatientID | Heartrhythm | Start(sec) | End(sec) | Used<br>for |\n| --- | --- | --- | --- | --- |\n| 343220 | Normalrhythm | 1 | 10000 | Trainin |\n| 33093 | Normalrhythm | 1 | 10000 | Trainin |\n| 343220 | Normalrhythm | 3000 | 65000 | Validati |\n| 33093 | Normalrhythm | 3000 | 65000 | Validati |\n| 221708 | Normalrhythm | 1 | 65000 | Testing |\n| 343300 | Ventricularﬂutter | 3000 | 6000 | Trainin<br>&<br>Validati |","| (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |\n| --- | --- | --- | --- | --- | --- |\n| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |\n| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 |",0]
["|  | Precision | Recall | F-measure | Coherence |\n| --- | --- | --- | --- | --- |\n| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |\n| AMLR(noﬁlter) | 60.0 | 74.2 | 66.7 | 0 |\n| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |\n| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |","| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |\n| --- | --- | --- | --- | --- |\n| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |\n| ALCOMO | 59.9 | 74.2 | 66.7 | 2 |",1]
["|  | Precision | Recall | F-measure | Coherence |\n| --- | --- | --- | --- | --- |\n| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |\n| AMLR(noﬁlter) | 60.0 | 74.2 | 66.7 | 0 |\n| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |\n| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |\n| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |\n| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["|  | Precision | Recall | F-measure | Coherence |\n| --- | --- | --- | --- | --- |\n| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |\n| AMLR(noﬁlter) | 60.0 | 74.2 | 66.7 | 0 |","| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |\n| --- | --- | --- | --- | --- |\n| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |\n| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |\n| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |\n| ALCOMO | 59.9 | 74.2 | 66.7 | 2 |",1]
["|  | Precision | Recall | F-measure | Coherence |\n| --- | --- | --- | --- | --- |\n| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |\n| AMLR(noﬁlter) | 60.0 | 74.2 | 66.7 | 0 |","| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| --- | --- | --- | --- | --- |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |\n| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |\n| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |","|  | nData=10 |  |  |\n| --- | --- | --- | --- |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |\n| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |\n| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |\n| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |","| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |\n| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |\n| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |\n|  | nData=10 |  |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |","| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |\n| --- | --- | --- | --- |\n| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |\n|  | nData=10 |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |\n| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |","| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",0]
["| Domain | DistantSupervision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dev | Test | Dev |  |  |  |  |  |\n| EM | F1 | EM | F1 | EM | F1 | EM |  |\n| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |\n| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 |  |","| Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 |  |",1]
["| Domain | DistantSupervision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dev | Test | Dev |  |  |  |  |  |\n| EM | F1 | EM | F1 | EM | F1 | EM |  |\n| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |\n| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 |  |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| Domain | DistantSupervision |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Dev | Test | Dev |  |  |  |  |\n| EM | F1 | EM | F1 | EM | F1 | EM |","| Wiki | 12.72<br>23.42<br>40.26<br>43.16 | 22.91<br>27.68<br>45.74<br>46.90 | 12.74<br>22.45<br>40.32<br>- | 22.35<br>26.52<br>45.91<br>- | 14.81<br>24.91<br>47.47<br>49.28 | 23.31<br>29.43<br>53.70<br>55.83 | 15.41<br>27.23<br>44.86<br>- |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 46.95 | 52.51 | 46.67 | 52.22 | 52.86 | 58.74 | 50.51 |  |\n| Web | 24.64<br>41.08<br>44.25 | 29.08<br>47.40<br>48.34 | 24.00<br>40.74<br>- | 28.38<br>47.05<br>- | 27.38<br>51.38<br>53.27 | 31.91<br>55.47<br>57.64 | 30.17<br>49.54<br>- |\n| 46.68 | 53.27 | 46.58 | 53.13 | 60.31 | 64.90 | 55.14 |  |",1]
["| Domain | DistantSupervision |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Dev | Test | Dev |  |  |  |  |\n| EM | F1 | EM | F1 | EM | F1 | EM |","| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |","| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| --- |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |","| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |","| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| --- |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |","| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| --- |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |\n| #Edges | 182,384 | 68,282 | 1,202,513,046 |","| Ave.degree | 8.29 | 16.72 | 57.74 |\n| --- | --- | --- | --- |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",1]
["| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |\n| #Edges | 182,384 | 68,282 | 1,202,513,046 |","| Dataset | #Nodes | #Edges | Ave.degree |\n| --- | --- | --- | --- |\n| Facebook | 4,039 | 88,234 | 43.69 |\n| Enron | 33,696 | 180,811 | 10.73 |\n| Epinions | 75,877 | 811,478 | 21.39 |\n| Twitter | 41,652,230 | 1,202,513,046 | 57.74 |",0]
["| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |","| #Edges | 182,384 | 68,282 | 1,202,513,046 |\n| --- | --- | --- | --- |\n| Ave.degree | 8.29 | 16.72 | 57.74 |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",1]
["| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |","| Epinions | 75,877 | 811,478 | 21.39 |\n| --- | --- | --- | --- |\n| Twitter | 41,652,230 | 1,202,513,046 | 57.74 |",0]
["| Method | Year | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |\n| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 |\n| Zhangetal. | CVPR2015 | 0.84 | 0.76 | 0.80 |\n| MSERs-CNN | ECCV2014 | 0.88 | 0.71 | 0.78 |","| Yinetal. | TPAMI2014 | 0.86 | 0.68 | 0.75 |\n| --- | --- | --- | --- | --- |\n| Faster-RCNN | NIPS2015 | 0.74 | 0.71 | 0.72 |",1]
["| Method | Year | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |\n| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 |\n| Zhangetal. | CVPR2015 | 0.84 | 0.76 | 0.80 |\n| MSERs-CNN | ECCV2014 | 0.88 | 0.71 | 0.78 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.71 | 0.43 | 0.54 |\n| StradVision-2 | 0.77 | 0.37 | 0.50 |\n| StradVision-1 | 0.53 | 0.46 | 0.50 |\n| NJUText | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |\n| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",0]
["| Method | Year | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |\n| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 |","| Zhangetal. | CVPR2015 | 0.84 | 0.76 | 0.80 |\n| --- | --- | --- | --- | --- |\n| MSERs-CNN | ECCV2014 | 0.88 | 0.71 | 0.78 |\n| Yinetal. | TPAMI2014 | 0.86 | 0.68 | 0.75 |\n| Faster-RCNN | NIPS2015 | 0.74 | 0.71 | 0.72 |",1]
["| Method | Year | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| DeepText(ours) | N/A | 0.85 | 0.81 | 0.83 |\n| TextFlow | ICCV2015 | 0.86 | 0.76 | 0.81 |","| AJOU | 0.47 | 0.47 | 0.47 |\n| --- | --- | --- | --- |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |\n| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",0]
["| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |","| 94.51<br>92.60 | 94.46<br>92.57 |\n| --- | --- |\n| 0.236 | 0.239 |\n| 84.6 | 84.2 |",1]
["| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |","| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |\n| 0.236 |\n| 84.6 |",0]
["| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |\n| 94.51<br>92.60 | 94.46<br>92.57 |","| 0.236 | 0.239 |\n| --- | --- |\n| 84.6 | 84.2 |",1]
["| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |\n| 94.51<br>92.60 | 94.46<br>92.57 |","| 94.51<br>92.60 |\n| --- |\n| 0.236 |\n| 84.6 |",0]
["| Experiment | EnhancedRulesetDistribution | InformationType |\n| --- | --- | --- |\n| A | 00 | Semantic |\n| B | 11 | Semantic |","| C | 00 | Syntactic |\n| --- | --- | --- |\n| D | 00 | Both |\n| E | 11 | Both |",1]
["| Experiment | EnhancedRulesetDistribution | InformationType |\n| --- | --- | --- |\n| A | 00 | Semantic |\n| B | 11 | Semantic |","| Informationgainratio | Attribute |\n| --- | --- |\n| 1 | totalread |\n| 0.1842 | wordlength |\n| 0.1611 | totalfastasize |\n| 0.1208 | totalgenomes |\n| 0.0421 | length |\n| 0.0271 | similarity |",0]
["| Experiment | EnhancedRulesetDistribution | InformationType |\n| --- | --- | --- |\n| A | 00 | Semantic |\n| B | 11 | Semantic |\n| C | 00 | Syntactic |","| D | 00 | Both |\n| --- | --- | --- |\n| E | 11 | Both |",1]
["| Experiment | EnhancedRulesetDistribution | InformationType |\n| --- | --- | --- |\n| A | 00 | Semantic |\n| B | 11 | Semantic |\n| C | 00 | Syntactic |","| 0.1842 | wordlength |\n| --- | --- |\n| 0.1611 | totalfastasize |\n| 0.1208 | totalgenomes |\n| 0.0421 | length |\n| 0.0271 | similarity |",0]
["|  | a | b | c | d | e |\n| --- | --- | --- | --- | --- | --- |\n| i | 1.25 | 1.05 | 1.12 | 1.57 |  |\n| j | .83 | 1.13 | 1.02 | .35 | .18 |","| k | 0 | .35 | .21 | -.56 | 1.02 |\n| --- | --- | --- | --- | --- | --- |\n| (cid:96) | -.12 |  |  |  | .98 |",1]
["|  | a | b | c | d | e |\n| --- | --- | --- | --- | --- | --- |\n| i | 1.25 | 1.05 | 1.12 | 1.57 |  |\n| j | .83 | 1.13 | 1.02 | .35 | .18 |","| K | dc | (d+1)/Kc | d/Kc | α(from)d |\n| --- | --- | --- | --- | --- |\n| 2 | 2 | 1.5 | 1 | 1 |\n| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |\n| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",0]
["|  | a | b | c | d | e |\n| --- | --- | --- | --- | --- | --- |\n| i | 1.25 | 1.05 | 1.12 | 1.57 |  |\n| j | .83 | 1.13 | 1.02 | .35 | .18 |","| k | 0 | .35 | .21 | -.56 | 1.02 |\n| --- | --- | --- | --- | --- | --- |\n| (cid:96) | -.12 |  |  |  | .98 |",1]
["|  | a | b | c | d | e |\n| --- | --- | --- | --- | --- | --- |\n| i | 1.25 | 1.05 | 1.12 | 1.57 |  |\n| j | .83 | 1.13 | 1.02 | .35 | .18 |","| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| --- | --- | --- | --- | --- |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |\n| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",0]
["| Dataset | Label | P | R |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove |  |  |\n| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |\n| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |\n| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |\n| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |","| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |\n| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |\n| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 |",1]
["| Dataset | Label | P | R |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove |  |  |\n| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |\n| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |\n| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |\n| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |","| Dataset | Label | P | R | F1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 |  |  |\n| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |\n| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",0]
["| Dataset | Label | P | R |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove |  |  |\n| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |\n| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |\n| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |\n| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |\n| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |","| T+ | sexism | 0.88 | 0.95 | 0.88 | 0.97 | 0.91 | 0.92 | 0.93 | 0.91 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W | attack | 0.77 | 0.81 | 0.82 | 0.74 | 0.67 | 0.68 | 0.76 | 0.74 |\n| W+ | attack | 0.81 | 0.86 | 0.87 | 0.91 | 0.89 | 0.86 | 0.88 | 0.88 |",1]
["| Dataset | Label | P | R |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | Glove | SSWE | Random | Glove | SSWE | Random | Glove |  |  |\n| F | bully | 0.52 | 0.56 | 0.63 | 0.40 | 0.49 | 0.38 | 0.44 | 0.51 |\n| F+ | bully | 0.84 | 0.85 | 0.90 | 0.98 | 0.97 | 0.91 | 0.90 | 0.90 |\n| T | racism | 0.67 | 0.74 | 0.76 | 0.73 | 0.76 | 0.77 | 0.70 | 0.75 |\n| T+ | racism | 0.94 | 0.90 | 0.90 | 0.98 | 0.95 | 0.96 | 0.96 | 0.93 |\n| T | sexism | 0.65 | 0.86 | 0.83 | 0.64 | 0.52 | 0.47 | 0.65 | 0.65 |","| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",0]
["|  | fc7 | pool5 |\n| --- | --- | --- |\n| Baseline | 0.334 | 0.320 |","| k=1 | 0.440 | 0.436 |\n| --- | --- | --- |\n| k=3 | 0.519 | 0.522 |\n| k=5 | 0.557 | 0.565 |",1]
["|  | fc7 | pool5 |\n| --- | --- | --- |\n| Baseline | 0.334 | 0.320 |","| Strategy | ModelSize | AUC |\n| --- | --- | --- |\n| None | 56.11M | 0.927 |\n| Bneck-Final-64 | 54.30M | 0.889 |\n| Bneck-Final-256 | 55.17M | 0.917 |\n| Bneck-Final-1024 | 58.63M | 0.925 |\n| Bneck-Mid-64 | 40.77M | 0.915 |\n| Bneck-Mid-256 | 42.29M | 0.924 |\n| Bneck-Mid-1024 | 48.41M | 0.927 |\n| FC-64 | 3.07M | 0.841 |\n| FC-256 | 4.95M | 0.905 |\n| FC-1024 | 13.22M | 0.924 |\n| Global-avg-pool | 2.59M | 0.916 |",0]
["|  | fc7 | pool5 |\n| --- | --- | --- |\n| Baseline | 0.334 | 0.320 |\n| k=1 | 0.440 | 0.436 |","| k=3 | 0.519 | 0.522 |\n| --- | --- | --- |\n| k=5 | 0.557 | 0.565 |",1]
["|  | fc7 | pool5 |\n| --- | --- | --- |\n| Baseline | 0.334 | 0.320 |\n| k=1 | 0.440 | 0.436 |","| FC-64 | 3.07M | 0.841 |\n| --- | --- | --- |\n| FC-256 | 4.95M | 0.905 |\n| FC-1024 | 13.22M | 0.924 |\n| Global-avg-pool | 2.59M | 0.916 |",0]
["| Train<br>VP | Test<br>VP | Supervised | Unsupervised |\n| --- | --- | --- | --- |\n| Attributes | word2vec | BoW |  |","| 1 | 1 | 43.3 | 25.0 | 21.8 |\n| --- | --- | --- | --- | --- |\n| 19 | 1 | 47.0 | 26.8 | 22.6 |\n| 19 | 19 | 56.5 | 32.1 | 26.0 |",1]
["| Train<br>VP | Test<br>VP | Supervised | Unsupervised |\n| --- | --- | --- | --- |\n| Attributes | word2vec | BoW |  |","| VisualParts(VP) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Train→ | 1 | 19 | 19 |  |\n| Test↓→ | 1 | 1 | 19 |  |\n| LanguageParts<br>(LP) | 1 | 25.0 | 26.8 | 32.1 |\n| 50 | 23.6 | 30.5 | 33.9 |  |",0]
["| Train<br>VP | Test<br>VP | Supervised | Unsupervised |\n| --- | --- | --- | --- |\n| Attributes | word2vec | BoW |  |","| 1 | 1 | 43.3 | 25.0 | 21.8 |\n| --- | --- | --- | --- | --- |\n| 19 | 1 | 47.0 | 26.8 | 22.6 |\n| 19 | 19 | 56.5 | 32.1 | 26.0 |",1]
["| Train<br>VP | Test<br>VP | Supervised | Unsupervised |\n| --- | --- | --- | --- |\n| Attributes | word2vec | BoW |  |","| Test↓→ | 1 | 1 | 19 |  |\n| --- | --- | --- | --- | --- |\n| LanguageParts<br>(LP) | 1 | 25.0 | 26.8 | 32.1 |\n| 50 | 23.6 | 30.5 | 33.9 |  |",0]
["| Flickr(mAP) |\n| --- |\n| 63.64 |","| 63.07 |\n| --- |\n| 62.45 |\n| 61.21 |",1]
["| Flickr(mAP) |\n| --- |\n| 63.64 |","| Descriptor | #ofﬂoats |\n| --- | --- |\n| FPFH | 33 |\n| SHOT | 135 |\n| USC | 1980 |\n| RoPS | 352 |\n| 3DBS-32 | 48 |\n| 3DBS-64 | 192 |",0]
["| Flickr(mAP) |\n| --- |\n| 63.64 |\n| 63.07 |","| 62.45 |\n| --- |\n| 61.21 |",1]
["| Flickr(mAP) |\n| --- |\n| 63.64 |\n| 63.07 |","| USC | 1980 |\n| --- | --- |\n| RoPS | 352 |\n| 3DBS-32 | 48 |\n| 3DBS-64 | 192 |",0]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 79.6 |\n| Humansegmentation | 74.8 |","| Mishraet.al | 73.3 |\n| --- | --- |\n| Wanget.al | 56.0 |\n| Abbyyreader | 47.7 |",1]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 79.6 |\n| Humansegmentation | 74.8 |","| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 89.3 |\n| Humansegmentation | 69.8 |\n| Weinmannet.al(withlexicon) | 86.1 |\n| Weinmannet.al(withoutlexicon) | 79.1 |",0]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 79.6 |\n| Humansegmentation | 74.8 |","| Mishraet.al | 73.3 |\n| --- | --- |\n| Wanget.al | 56.0 |\n| Abbyyreader | 47.7 |",1]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 79.6 |\n| Humansegmentation | 74.8 |","| Humansegmentation | 69.8 |\n| --- | --- |\n| Weinmannet.al(withlexicon) | 86.1 |\n| Weinmannet.al(withoutlexicon) | 79.1 |",0]
["| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |\n| --- | --- | --- | --- | --- | --- |\n| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 |","| Mean | 64 | 128 | 256 | 512 | 512 |\n| --- | --- | --- | --- | --- | --- |\n| Max | 64 | 128 | 256 | 512 | 512 |\n| Gram | 4096 | 16384 | 65536 | 262144 | 262114 |",1]
["| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |\n| --- | --- | --- | --- | --- | --- |\n| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |\n| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |\n| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |\n| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |\n| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |\n| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |\n| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 |",0]
["| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |\n| --- | --- | --- | --- | --- | --- |\n| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 |","| Mean | 64 | 128 | 256 | 512 | 512 |\n| --- | --- | --- | --- | --- | --- |\n| Max | 64 | 128 | 256 | 512 | 512 |\n| Gram | 4096 | 16384 | 65536 | 262144 | 262114 |",1]
["| FeaturizationStrategy | C1,2 | C2,2 | C3,3 | C4,3 | C5,3 |\n| --- | --- | --- | --- | --- | --- |\n| VLAD | 2048 | 4096 | 8192 | 16384 | 16384 |","| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |\n| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |\n| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |\n| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |\n| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |\n| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |\n| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 |",0]
["| DVPageSourceName | Posts | Comments | PageLikes |\n| --- | --- | --- | --- |\n| StopDV | 3597 | 13462 | 63k |\n| DVSurvivors | 2816 | 8415 | 32k |","| StopDVagainstWomen | 516 | 2802 | 7.5k |\n| --- | --- | --- | --- |\n| DVAwarenessMonth | 1927 | 4194 | 15k |",1]
["| DVPageSourceName | Posts | Comments | PageLikes |\n| --- | --- | --- | --- |\n| StopDV | 3597 | 13462 | 63k |\n| DVSurvivors | 2816 | 8415 | 32k |","| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.856 | 0.949 | 0.518 | 0.834 | 0.757 | 0.725 | 0.778 |\n| 0.794 | 0.949 | 0.518 | 0.834 | 0.757 | 0.673 | 0.778 |\n| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |\n| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |\n| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |\n| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 |",0]
["| DVPageSourceName | Posts | Comments | PageLikes |\n| --- | --- | --- | --- |\n| StopDV | 3597 | 13462 | 63k |","| DVSurvivors | 2816 | 8415 | 32k |\n| --- | --- | --- | --- |\n| StopDVagainstWomen | 516 | 2802 | 7.5k |\n| DVAwarenessMonth | 1927 | 4194 | 15k |",1]
["| DVPageSourceName | Posts | Comments | PageLikes |\n| --- | --- | --- | --- |\n| StopDV | 3597 | 13462 | 63k |","| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |\n| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |\n| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 |",0]
["| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |\n| --- | --- | --- | --- |\n| idle,nofan,noethernet | 5.02 | 280 | 1.4 |\n| idle,fan,noethernet | 5.02 | 360 | 1.8 |\n| idle,nofan,ethernet | 5.02 | 322 | 1.6 |\n| idle,fan,ethernet | 5.02 | 400 | 2.0 |","| fullCPUload,nofan,ethernet | 5.02 | 900 | 4.5 |\n| --- | --- | --- | --- |\n| fullCPUload,fan,ethernet | 5.02 | 970 | 4.9 |",1]
["| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |\n| --- | --- | --- | --- |\n| idle,nofan,noethernet | 5.02 | 280 | 1.4 |\n| idle,fan,noethernet | 5.02 | 360 | 1.8 |\n| idle,nofan,ethernet | 5.02 | 322 | 1.6 |\n| idle,fan,ethernet | 5.02 | 400 | 2.0 |","| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |\n| --- | --- | --- | --- |\n| idle,nofan,noethernet | 5.02 | 280 | 1.4 |\n| idle,fan,noethernet | 5.02 | 360 | 1.8 |","| idle,nofan,ethernet | 5.02 | 322 | 1.6 |\n| --- | --- | --- | --- |\n| idle,fan,ethernet | 5.02 | 400 | 2.0 |\n| fullCPUload,nofan,ethernet | 5.02 | 900 | 4.5 |\n| fullCPUload,fan,ethernet | 5.02 | 970 | 4.9 |",1]
["| ODROIDU2 | Voltage(V) | Current(mA) | Power(W) |\n| --- | --- | --- | --- |\n| idle,nofan,noethernet | 5.02 | 280 | 1.4 |\n| idle,fan,noethernet | 5.02 | 360 | 1.8 |","| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| Distance | 0 | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |\n| Distance | 5 | 6 | 7 | 8 | 9 |","| Numberofpoints | 16208 | 84428 | 395566 | 1622641 | 5536264 |\n| --- | --- | --- | --- | --- | --- |\n| Distance | 10 | 11 | 12 | 13 | 14 |\n| Numberofpoints | 13587945 | 17558644 | 8100138 | 843444 | 27084 |",1]
["| Distance | 0 | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |\n| Distance | 5 | 6 | 7 | 8 | 9 |","| Distance(m) | Time(sec) |\n| --- | --- |\n| 0.0 | 0 |\n| 4.9 | 1 |\n| 19.6 | 2 |\n| 44.1 | 3 |\n| 78.5 | 4 |\n| 122.6 | 5 |\n| 176.5 | 6 |\n| 240.3 | 7 |\n| 313.8 | 8 |\n| 397.2 | 9 |\n| 490.3 | 10 |\n| 593.3 | 11 |\n| 706.1 | 12 |\n| 828.7 | 13 |\n| 961.1 | 14 |\n| 1103.2 | 15 |\n| 1255.3 | 16 |\n| Etc | Etc |",0]
["| Distance | 0 | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |\n| Distance | 5 | 6 | 7 | 8 | 9 |","| Numberofpoints | 16208 | 84428 | 395566 | 1622641 | 5536264 |\n| --- | --- | --- | --- | --- | --- |\n| Distance | 10 | 11 | 12 | 13 | 14 |\n| Numberofpoints | 13587945 | 17558644 | 8100138 | 843444 | 27084 |",1]
["| Distance | 0 | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofpoints | 1 | 10 | 69 | 456 | 2846 |\n| Distance | 5 | 6 | 7 | 8 | 9 |","| 828.7 | 13 |\n| --- | --- |\n| 961.1 | 14 |\n| 1103.2 | 15 |\n| 1255.3 | 16 |\n| Etc | Etc |",0]
["| Size | LowerLimit(mm) | UpperLimit(mm) |\n| --- | --- | --- |\n| Small | 0 | 37 |\n| Medium | 37 | 41 |","| Large | 41 | 45 |\n| --- | --- | --- |\n| TooLarge* | 45 | ∞ |",1]
["| Size | LowerLimit(mm) | UpperLimit(mm) |\n| --- | --- | --- |\n| Small | 0 | 37 |\n| Medium | 37 | 41 |","| Instancetype | Average | stdev | Min | Max | OnDemand |\n| --- | --- | --- | --- | --- | --- |\n| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |\n| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |\n| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |\n| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 |",0]
["| Size | LowerLimit(mm) | UpperLimit(mm) |\n| --- | --- | --- |\n| Small | 0 | 37 |\n| Medium | 37 | 41 |","| Large | 41 | 45 |\n| --- | --- | --- |\n| TooLarge* | 45 | ∞ |",1]
["| Size | LowerLimit(mm) | UpperLimit(mm) |\n| --- | --- | --- |\n| Small | 0 | 37 |\n| Medium | 37 | 41 |","| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |\n| --- | --- | --- | --- | --- | --- |\n| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 |",0]
["| SUnSAL | SUnSAL-TV |\n| --- | --- |\n| 3.39s | 81.86s |\n| 2.66s | 79.16s |","| 5.78s | 130.37s |\n| --- | --- |\n| 184.8s | 1145.8s |",1]
["| SUnSAL | SUnSAL-TV |\n| --- | --- |\n| 3.39s | 81.86s |\n| 2.66s | 79.16s |","| 72.46 | 72.29 |\n| --- | --- |\n| 71.7 | 71.28 |\n| 60.76 | 54.27 |\n| 57.29 | 49.37 |\n| 57.98 | 47.01 |\n| 64.13 | 57.63 |",0]
["| SUnSAL | SUnSAL-TV |\n| --- | --- |\n| 3.39s | 81.86s |\n| 2.66s | 79.16s |","| 5.78s | 130.37s |\n| --- | --- |\n| 184.8s | 1145.8s |",1]
["| SUnSAL | SUnSAL-TV |\n| --- | --- |\n| 3.39s | 81.86s |\n| 2.66s | 79.16s |","| 57.98 | 47.01 |\n| --- | --- |\n| 64.13 | 57.63 |",0]
["| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |","| MemClock(MHz) | 5005 | 5005 |\n| --- | --- | --- |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",1]
["| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |","| MemClock(MHz) | 5005 | 5005 |\n| --- | --- | --- |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",1]
["| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |","| DRAMSize | 128GB |\n| --- | --- |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| Hyper-parameter |\n| --- |\n| windowsize<br>numberofﬁlters |\n| numberoflayers<br>statesize<br>initialstate<br>peepholes |\n| numberoflayers<br>dimension |","| embeddings<br>LSTMhiddenstates<br>LSTMlayers |\n| --- |\n| optimizer<br>initiallearningrate<br>decayrate<br>gradientclipping |",1]
["| Hyper-parameter |\n| --- |\n| windowsize<br>numberofﬁlters |\n| numberoflayers<br>statesize<br>initialstate<br>peepholes |\n| numberoflayers<br>dimension |","| Hyper-parameter | POS |\n| --- | --- |\n| windowsize<br>numberofﬁlters | 3<br>30 |\n| statesize<br>initialstate<br>peepholes | 200<br>0.0<br>no |\n| dropoutrate | 0.5 |\n| batchsize<br>initiallearningrate<br>decayrate<br>gradientclipping | 10<br>0.01<br>0.05<br>5.0 |",0]
["| Hyper-parameter |\n| --- |\n| windowsize<br>numberofﬁlters |\n| numberoflayers<br>statesize<br>initialstate<br>peepholes |","| numberoflayers<br>dimension |\n| --- |\n| embeddings<br>LSTMhiddenstates<br>LSTMlayers |\n| optimizer<br>initiallearningrate<br>decayrate<br>gradientclipping |",1]
["| Hyper-parameter |\n| --- |\n| windowsize<br>numberofﬁlters |\n| numberoflayers<br>statesize<br>initialstate<br>peepholes |","| dropoutrate | 0.5 |\n| --- | --- |\n| batchsize<br>initiallearningrate<br>decayrate<br>gradientclipping | 10<br>0.01<br>0.05<br>5.0 |",0]
["| Aﬀordances | #Terms | Aﬀordances | #Terms |\n| --- | --- | --- | --- |\n| Accommodation | 59 | Retreats | 59 |\n| Attractions | 59 | Shopping | 59 |","| Beaches | 59 | Spirituality | 59 |\n| --- | --- | --- | --- |\n| Deserts | 59 | Sports | 66 |\n| HealthCare | 60 | ThemeParks | 59 |\n| Heritage | 59 | TourPackages | 59 |\n| HillStations | 59 | Transport | 61 |\n| Landscapes | 59 | Wildlife | 59 |\n| Nature | 59 | Miscellaneous | Rest |",1]
["| Aﬀordances | #Terms | Aﬀordances | #Terms |\n| --- | --- | --- | --- |\n| Accommodation | 59 | Retreats | 59 |\n| Attractions | 59 | Shopping | 59 |","| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |\n| Ours | 89.87 | 97.57 | 89.98 | 107.87 | 107.31 | 93.56 | 136.09 | 133.14 |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",0]
["| Aﬀordances | #Terms | Aﬀordances | #Terms |\n| --- | --- | --- | --- |\n| Accommodation | 59 | Retreats | 59 |\n| Attractions | 59 | Shopping | 59 |\n| Beaches | 59 | Spirituality | 59 |","| Deserts | 59 | Sports | 66 |\n| --- | --- | --- | --- |\n| HealthCare | 60 | ThemeParks | 59 |\n| Heritage | 59 | TourPackages | 59 |\n| HillStations | 59 | Transport | 61 |\n| Landscapes | 59 | Wildlife | 59 |\n| Nature | 59 | Miscellaneous | Rest |",1]
["| Aﬀordances | #Terms | Aﬀordances | #Terms |\n| --- | --- | --- | --- |\n| Accommodation | 59 | Retreats | 59 |\n| Attractions | 59 | Shopping | 59 |\n| Beaches | 59 | Spirituality | 59 |","| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",0]
["| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |\n| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |","| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| --- |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",1]
["| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |\n| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |","| 1234567 |\n| --- |\n| 8.627.887.768.349.138.078.89<br>0.510.520.540.520.540.530.55<br>-8.9-5.0-9.0-4.3-14-5.6-10 |\n| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",0]
["| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |","| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| --- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",1]
["| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |","| 71691.11.31.31.18.7<br>0.890.880.920.840.890.900.92 |\n| --- |\n| 10.94.818.274.4216.55.2111.0<br>4.566.674.222.601.853.621.01<br>-4.74-4.38-4.60-4.99-5.79-4.91-6.03 |\n| 1.130.8921.321.471.721.261.17<br>0.830.850.900.820.860.890.89 |",0]
["| Solver | lo | me | hi | 3hi |\n| --- | --- | --- | --- | --- |\n| MiFuMax | 0 | 0 | 0 | 0 |\n| QWMaxSAT | 0 | 0 | 0 | 0 |\n| Sat4j | 0 | 0 | 0 | 0 |\n| MSUnCore | 0 | 0 | 0 | 0 |\n| MaxSatz2013f | 30 | 30 | 29 | 30 |\n| WMaxSatz-2009 | 30 | 30 | 29 | 30 |","| WMaxSatz+ | 30 | 30 | 29 | 30 |\n| --- | --- | --- | --- | --- |\n| ISAC+ | 29 | 8 | 1 | 10 |",1]
["| Solver | lo | me | hi | 3hi |\n| --- | --- | --- | --- | --- |\n| MiFuMax | 0 | 0 | 0 | 0 |\n| QWMaxSAT | 0 | 0 | 0 | 0 |\n| Sat4j | 0 | 0 | 0 | 0 |\n| MSUnCore | 0 | 0 | 0 | 0 |\n| MaxSatz2013f | 30 | 30 | 29 | 30 |\n| WMaxSatz-2009 | 30 | 30 | 29 | 30 |","| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |\n| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |\n| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| Solver | lo | me | hi | 3hi |\n| --- | --- | --- | --- | --- |\n| MiFuMax | 0 | 0 | 0 | 0 |\n| QWMaxSAT | 0 | 0 | 0 | 0 |","| Sat4j | 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- |\n| MSUnCore | 0 | 0 | 0 | 0 |\n| MaxSatz2013f | 30 | 30 | 29 | 30 |\n| WMaxSatz-2009 | 30 | 30 | 29 | 30 |\n| WMaxSatz+ | 30 | 30 | 29 | 30 |\n| ISAC+ | 29 | 8 | 1 | 10 |",1]
["| Solver | lo | me | hi | 3hi |\n| --- | --- | --- | --- | --- |\n| MiFuMax | 0 | 0 | 0 | 0 |\n| QWMaxSAT | 0 | 0 | 0 | 0 |","| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |\n| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| d | Bing | Google | Ours |\n| --- | --- | --- | --- |\n| 0 | 87 | 97 | 100 |\n| 1 | 78 | 54 | 98 |","| 2 | 71 | 3 | 98 |\n| --- | --- | --- | --- |\n| 3 | 59 | 3 | 94 |\n| 4 | 55 | 2 | 86 |",1]
["| d | Bing | Google | Ours |\n| --- | --- | --- | --- |\n| 0 | 87 | 97 | 100 |\n| 1 | 78 | 54 | 98 |","| GoogleNexus7 | 50000Additions |\n| --- | --- |\n| n=200 | 688 |\n| 2000 | 633 |\n| 4000 | 679 |\n| 6000 | 770 |\n| 8000 | 743 |\n| 10000 | 763 |",0]
["| d | Bing | Google | Ours |\n| --- | --- | --- | --- |\n| 0 | 87 | 97 | 100 |\n| 1 | 78 | 54 | 98 |\n| 2 | 71 | 3 | 98 |","| 3 | 59 | 3 | 94 |\n| --- | --- | --- | --- |\n| 4 | 55 | 2 | 86 |",1]
["| d | Bing | Google | Ours |\n| --- | --- | --- | --- |\n| 0 | 87 | 97 | 100 |\n| 1 | 78 | 54 | 98 |\n| 2 | 71 | 3 | 98 |","| 8000 | 743 |\n| --- | --- |\n| 10000 | 763 |",0]
["|  | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |\n| --- | --- | --- | --- | --- | --- |\n| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |\n| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |\n| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |\n| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |\n| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |","| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |\n| --- | --- | --- | --- | --- | --- |\n| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |\n| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |\n| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |\n| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |\n| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 |",1]
["|  | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |\n| --- | --- | --- | --- | --- | --- |\n| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |\n| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |\n| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |\n| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |\n| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |","|  | Ours | Shuﬄe&Learn | RandomInit. | AlexNet |\n| --- | --- | --- | --- | --- |\n| Head | 83.8 | 75.8 | 79.5 | 87.2 |\n| Neck | 90.9 | 86.3 | 87.1 | 93.2 |\n| LRShoulder | 77.5 | 75.0 | 71.6 | 85.2 |\n| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |\n| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |\n| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |\n| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |\n| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |\n| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |\n| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |\n| Total | 72.7 | 69.3 | 65.4 | 78.0 |",0]
["|  | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |\n| --- | --- | --- | --- | --- | --- |\n| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |\n| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |\n| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |","| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |\n| --- | --- | --- | --- | --- | --- |\n| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |\n| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |\n| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |\n| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |\n| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |\n| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |\n| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 |",1]
["|  | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |\n| --- | --- | --- | --- | --- | --- |\n| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |\n| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |\n| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |","| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |\n| --- | --- | --- | --- | --- |\n| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |\n| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |\n| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |\n| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |\n| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |\n| Total | 72.7 | 69.3 | 65.4 | 78.0 |",0]
["| #oftargetimagesN | 400 | 1,500 |\n| --- | --- | --- |\n| Non-transfer | 0.724 | 0.753 |\n| SSL | 0.750 | 0.789 |","| Oquabetal. | 0.763 | 0.782 |\n| --- | --- | --- |\n| Agrawaletal. | 0.753 | 0.781 |\n| ATDL | 0.789 | 0.797 |",1]
["| #oftargetimagesN | 400 | 1,500 |\n| --- | --- | --- |\n| Non-transfer | 0.724 | 0.753 |\n| SSL | 0.750 | 0.789 |","| #oftargetimagesN | 1,000 | 5,000 | 10,000 |\n| --- | --- | --- | --- |\n| Non-transfer | 0.854 | 0.926 | 0.945 |\n| SSL | 0.844 | 0.928 | 0.951 |\n| Oquabetal. | 0.773 | 0.875 | 0.887 |\n| Agrawaletal. | 0.844 | 0.923 | 0.951 |\n| ATDL | 0.887 | 0.928 | 0.932 |",0]
["| #oftargetimagesN | 400 | 1,500 |\n| --- | --- | --- |\n| Non-transfer | 0.724 | 0.753 |","| SSL | 0.750 | 0.789 |\n| --- | --- | --- |\n| Oquabetal. | 0.763 | 0.782 |\n| Agrawaletal. | 0.753 | 0.781 |\n| ATDL | 0.789 | 0.797 |",1]
["| #oftargetimagesN | 400 | 1,500 |\n| --- | --- | --- |\n| Non-transfer | 0.724 | 0.753 |","| Oquabetal. | 0.773 | 0.875 | 0.887 |\n| --- | --- | --- | --- |\n| Agrawaletal. | 0.844 | 0.923 | 0.951 |\n| ATDL | 0.887 | 0.928 | 0.932 |",0]
["| Methods |  |  |\n| --- | --- | --- |\n|  |  |  |\n| IndependentLSTM(sharedweight) | 0.8064±0.0005 | 0.5301±0.0006 |\n| Clock-workRNN | 0.8400±0.0001 | 0.7181±0.0003 |","| LSTM+eventembedding&attrencoding | 0.9466±0.0002 | 0.7445±0.0007 |\n| --- | --- | --- |\n|  |  |  |",1]
["| Methods |  |  |\n| --- | --- | --- |\n|  |  |  |\n| IndependentLSTM(sharedweight) | 0.8064±0.0005 | 0.5301±0.0006 |\n| Clock-workRNN | 0.8400±0.0001 | 0.7181±0.0003 |","| methods | accuracy |\n| --- | --- |\n| LBPmultishot | 0.8517±0.0061 |\n| LDML-MkNN | 0.8750±0.0040 |\n| LBP+PLDA | 0.8733±0.0055 |\n| high-dimLBP | 0.9318±0.0107 |\n| Fishervectorfaces | 0.9303±0.0105 |\n| ConvNet+RBM | 0.9175±0.0048 |\n| Networkfusion+JB | 0.8763±0.0064 |",0]
["| Methods |  |\n| --- | --- |\n|  |  |","| IndependentLSTM(sharedweight) | 0.8064±0.0005 | 0.5301±0.0006 |\n| --- | --- | --- |\n| Clock-workRNN | 0.8400±0.0001 | 0.7181±0.0003 |\n| LSTM+eventembedding&attrencoding | 0.9466±0.0002 | 0.7445±0.0007 |\n|  |  |  |",1]
["| Methods |  |\n| --- | --- |\n|  |  |","| Fishervectorfaces | 0.9303±0.0105 |\n| --- | --- |\n| ConvNet+RBM | 0.9175±0.0048 |\n| Networkfusion+JB | 0.8763±0.0064 |",0]
["| Dataset | #Image | #Logo | #Brand | #LogoObject |\n| --- | --- | --- | --- | --- |\n| Logos-160 | 73414 | 160 | 100 | 130608 |\n| Logos-18 | 8460 | 18 | 10 | 16043 |\n| BelgaLogos | 10000 | 37 | 37 | 2695 |","| FlickrLogos-27 | 1080 | 27 | 27 | 4671 |\n| --- | --- | --- | --- | --- |\n| FlickrLogos-32 | 8240 | 32 | 32 | 5644 |",1]
["| Dataset | #Image | #Logo | #Brand | #LogoObject |\n| --- | --- | --- | --- | --- |\n| Logos-160 | 73414 | 160 | 100 | 130608 |\n| Logos-18 | 8460 | 18 | 10 | 16043 |\n| BelgaLogos | 10000 | 37 | 37 | 2695 |","| Dataset | No.ofimages | Resolution | Min | Ave | Max | Totalcount |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCSD | 2000 | 158x238 | 11 | 25 | 46 | 49,885 |\n| Mall | 2000 | 320x240 | 13 | - | 53 | 62,325 |\n| UCFCC50 | 50 | Varied | 94 | 1279 | 4543 | 63,974 |\n| WorldExpo’10 | 3980 | 576x720 | 1 | 50 | 253 | 199,923 |\n| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |\n| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 |",0]
["| Dataset | #Image | #Logo | #Brand | #LogoObject |\n| --- | --- | --- | --- | --- |\n| Logos-160 | 73414 | 160 | 100 | 130608 |\n| Logos-18 | 8460 | 18 | 10 | 16043 |\n| BelgaLogos | 10000 | 37 | 37 | 2695 |","| FlickrLogos-27 | 1080 | 27 | 27 | 4671 |\n| --- | --- | --- | --- | --- |\n| FlickrLogos-32 | 8240 | 32 | 32 | 5644 |",1]
["| Dataset | #Image | #Logo | #Brand | #LogoObject |\n| --- | --- | --- | --- | --- |\n| Logos-160 | 73414 | 160 | 100 | 130608 |\n| Logos-18 | 8460 | 18 | 10 | 16043 |\n| BelgaLogos | 10000 | 37 | 37 | 2695 |","| WorldExpo’10 | 3980 | 576x720 | 1 | 50 | 253 | 199,923 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |\n| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 |",0]
["| Datasettype | Synthesizable | Trainingset | Testset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Instances | Samples | Instances | Samples |  |  |\n| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 |","| AndroidUI(XML) | 21×10 | 1500 | 85756 | 250 | 14265 |\n| --- | --- | --- | --- | --- | --- |\n| web-basedUI(HTML/CSS) | 31×10 | 1500 | 143850 | 250 | 24108 |",1]
["| Datasettype | Synthesizable | Trainingset | Testset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Instances | Samples | Instances | Samples |  |  |\n| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 |","| DataSet | Sentences# | Tokens# |\n| --- | --- | --- |\n| Training | 14,987 | 203,621 |\n| Develop | 3,466 | 51,362 |\n| Test | 3,684 | 46,435 |\n| #oftagtypes(IOBESscheme) | 17 |  |",0]
["| Datasettype | Synthesizable | Trainingset | Testset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Instances | Samples | Instances | Samples |  |  |\n| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 |","| AndroidUI(XML) | 21×10 | 1500 | 85756 | 250 | 14265 |\n| --- | --- | --- | --- | --- | --- |\n| web-basedUI(HTML/CSS) | 31×10 | 1500 | 143850 | 250 | 24108 |",1]
["| Datasettype | Synthesizable | Trainingset | Testset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Instances | Samples | Instances | Samples |  |  |\n| iOSUI(Storyboard) | 26×10 | 1500 | 93672 | 250 | 15984 |","| Test | 3,684 | 46,435 |\n| --- | --- | --- |\n| #oftagtypes(IOBESscheme) | 17 |  |",0]
["| Descriptor | Extractingtime(ns) | Matchingtime(ns) |\n| --- | --- | --- |\n| SIFT | 235 | 940 |\n| BinBoost | 6.48 | 36.45 |","| BRIEF | 12.54 | 35.46 |\n| --- | --- | --- |\n| RMGD | 10.46 | 32.46 |",1]
["| Descriptor | Extractingtime(ns) | Matchingtime(ns) |\n| --- | --- | --- |\n| SIFT | 235 | 940 |\n| BinBoost | 6.48 | 36.45 |","| Wordsize<br>m | Timetaken(sec)<br>9<br>togenerate10bits | Timetaken(sec)<br>10<br>togenerate10bits |\n| --- | --- | --- |\n| 8 | 78.6 | 841 |\n| 16 | 20.02 | 215 |\n| 32 | 5.95 | 62.74 |\n| 64 | 1.94 | 19.17 |",0]
["| Descriptor | Extractingtime(ns) | Matchingtime(ns) |\n| --- | --- | --- |\n| SIFT | 235 | 940 |","| BinBoost | 6.48 | 36.45 |\n| --- | --- | --- |\n| BRIEF | 12.54 | 35.46 |\n| RMGD | 10.46 | 32.46 |",1]
["| Descriptor | Extractingtime(ns) | Matchingtime(ns) |\n| --- | --- | --- |\n| SIFT | 235 | 940 |","| 32 | 5.95 | 62.74 |\n| --- | --- | --- |\n| 64 | 1.94 | 19.17 |",0]
["| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |\n| --- | --- |\n| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |\n| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) |","| Range | t(Y,rdf:type,C)←t(P,rdfs:range,C)∧t(S,P,Y) |\n| --- | --- |\n| Transitivity | t(X,P,Z)←t(P,rdf:type,owl:TransitiveProperty)∧t(X,P,Y)∧t(Y,P,Z) |\n| Subsumption<br>ofexistential<br>formulae | t(C,rdfs:subClassOf,C)←t(C,owl:someValuesFrom,D)∧1211<br>t(C,owl:onProperty,P)∧t(C,owl:someValuesFrom,D)∧122<br>t(C,owl:onProperty,P)∧t(D,rdfs:subClassOf,D)212 |\n| Intersection | t(C,rdfs:subClassOf,D)←t(C,owl:intersectionOf,I)∧D∈I |\n| Disjointness | ⊥←t(C,owl:disjointWith,C)∧t(X,rdf:type,C)∧t(X,rdf:type,C)1212 |",1]
["| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |\n| --- | --- |\n| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |\n| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) |","| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbchusbandab |\n| --- |\n| ∀∀∀(,)∧(,)⇒(,)abcfatheracmotherbcwifeba |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcsisterab |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughteracsonbcbrotherba |\n| ∀∀∀(,)∧(,)⇒(,)abcfatherabfatherbcgrandfatherac |\n| ∀∀∀(,)∧(,)⇒(,)abcsonabsonbcgrandsonac |\n| ∀∀∀(,)∧(,)⇒(,)abcmotherabmotherbcgrandmotherac |\n| ∀∀∀(,)∧(,)⇒(,)abcdaughterabdaughterbcgranddaughterac |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcuncleda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcauntda |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |\n| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae |",0]
["| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |\n| --- | --- |\n| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |\n| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) |","| Range | t(Y,rdf:type,C)←t(P,rdfs:range,C)∧t(S,P,Y) |\n| --- | --- |\n| Transitivity | t(X,P,Z)←t(P,rdf:type,owl:TransitiveProperty)∧t(X,P,Y)∧t(Y,P,Z) |\n| Subsumption<br>ofexistential<br>formulae | t(C,rdfs:subClassOf,C)←t(C,owl:someValuesFrom,D)∧1211<br>t(C,owl:onProperty,P)∧t(C,owl:someValuesFrom,D)∧122<br>t(C,owl:onProperty,P)∧t(D,rdfs:subClassOf,D)212 |\n| Intersection | t(C,rdfs:subClassOf,D)←t(C,owl:intersectionOf,I)∧D∈I |\n| Disjointness | ⊥←t(C,owl:disjointWith,C)∧t(X,rdf:type,C)∧t(X,rdf:type,C)1212 |",1]
["| Transitive<br>subsumption | t(C,rdfs:subClassOf,C)←t(C,rdfs:subClassOf,C)∧1312<br>t(C,rdfs:subClassOf,C)23 |\n| --- | --- |\n| Inheritance | t(X,rdf:type,C)←t(C,rdfs:subClassOf,C)∧t(X,rdf:type,C)2121<br>t(X,rdf:type,C)←t(C,owl:equivalentClass,C)∧t(X,rdf:type,C)2122 |\n| Domain | t(X,rdf:type,C)←t(P,rdfs:domain,C)∧t(X,P,O) |","| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcdsonabdaughterbcsondcnephewad |\n| --- |\n| ∀∀∀∀(,)∧(,)∧(,)⇒(,)abcddaughterabsonbcdaughterdcniecead |\n| ∀∀∀∀∀(,)∧(,)∧(,)∧(,)⇒(,)abcdesonabdaughterbcsondcdaughteredcousinae |",0]
["| #procs | 8 | 12 | 16 |\n| --- | --- | --- | --- |\n| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |\n| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |\n| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 |\n| proc3 | 37.55-50.04 | 25.07-33.36 | 18.78-25.06 |\n| proc4 | 50.04-62.53 | 33.36-41.66 | 25.06-31.26 |\n| proc5 | 62.53-75.02 | 41.66-50.04 | 31.26-37.55 |\n| proc6 | 75.02-87.50 | 50.04-58.33 | 37.55-43.75 |\n| proc7 | 87.50-95 | 58.33-66.63 | 43.75-50.04 |","| proc8 |  | 66.63-75.02 | 50.04-56.24 |\n| --- | --- | --- | --- |\n| proc9 |  | 75.02-83.31 | 56.24-62.52 |\n| proc10 |  | 83.31-91.61 | 62.52-68.73 |\n| proc11 |  | 91.61-95 | 68.73-75.01 |\n| proc12 |  |  | 75.01-81.21 |\n| proc13 |  |  | 81.21-87.50 |\n| proc14 |  |  | 87.50-93.70 |\n| proc15 |  |  | 93.70-95 |",1]
["| #procs | 8 | 12 | 16 |\n| --- | --- | --- | --- |\n| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |\n| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |\n| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 |\n| proc3 | 37.55-50.04 | 25.07-33.36 | 18.78-25.06 |\n| proc4 | 50.04-62.53 | 33.36-41.66 | 25.06-31.26 |\n| proc5 | 62.53-75.02 | 41.66-50.04 | 31.26-37.55 |\n| proc6 | 75.02-87.50 | 50.04-58.33 | 37.55-43.75 |\n| proc7 | 87.50-95 | 58.33-66.63 | 43.75-50.04 |","| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.57 | 89.43 | 78.11 | 91.32 | 93.96 | 98.87 | 99.25 | 98.11 | 98.08 |\n| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |\n| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |\n| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |\n| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |\n| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 |",0]
["| #procs | 8 | 12 | 16 |\n| --- | --- | --- | --- |\n| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |\n| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |\n| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 |","| proc3 | 37.55-50.04 | 25.07-33.36 | 18.78-25.06 |\n| --- | --- | --- | --- |\n| proc4 | 50.04-62.53 | 33.36-41.66 | 25.06-31.26 |\n| proc5 | 62.53-75.02 | 41.66-50.04 | 31.26-37.55 |\n| proc6 | 75.02-87.50 | 50.04-58.33 | 37.55-43.75 |\n| proc7 | 87.50-95 | 58.33-66.63 | 43.75-50.04 |\n| proc8 |  | 66.63-75.02 | 50.04-56.24 |\n| proc9 |  | 75.02-83.31 | 56.24-62.52 |\n| proc10 |  | 83.31-91.61 | 62.52-68.73 |\n| proc11 |  | 91.61-95 | 68.73-75.01 |\n| proc12 |  |  | 75.01-81.21 |\n| proc13 |  |  | 81.21-87.50 |\n| proc14 |  |  | 87.50-93.70 |\n| proc15 |  |  | 93.70-95 |",1]
["| #procs | 8 | 12 | 16 |\n| --- | --- | --- | --- |\n| proc0 | 0-12.58 | 0-8.39 | 0-6.29 |\n| proc1 | 12.58-25.07 | 8.39-16.68 | 6.29-12.58 |\n| proc2 | 25.07-37.55 | 16.68-25.07 | 12.58-18.78 |","| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |\n| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |\n| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |\n| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 |",0]
["| Architecture | Layers | Neurons | #Params |\n| --- | --- | --- | --- |\n| relu-RNN | 4 | 607 | 6.1M |\n| LSTM | 5 | 375 | 8.8M |\n| GRU | 5 | 465 | 10.3M |","| M-GRU | 5 | 465 | 7.4M |\n| --- | --- | --- | --- |\n| Li-GRU | 5 | 465 | 7.4M |",1]
["| Architecture | Layers | Neurons | #Params |\n| --- | --- | --- | --- |\n| relu-RNN | 4 | 607 | 6.1M |\n| LSTM | 5 | 375 | 8.8M |\n| GRU | 5 | 465 | 10.3M |","| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |\n| --- | --- | --- | --- | --- | --- |\n| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |\n| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |\n| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |\n| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |\n| unit | mV | mV/ms | ms | synapses | neurons |",0]
["| Architecture | Layers | Neurons | #Params |\n| --- | --- | --- | --- |\n| relu-RNN | 4 | 607 | 6.1M |","| LSTM | 5 | 375 | 8.8M |\n| --- | --- | --- | --- |\n| GRU | 5 | 465 | 10.3M |\n| M-GRU | 5 | 465 | 7.4M |\n| Li-GRU | 5 | 465 | 7.4M |",1]
["| Architecture | Layers | Neurons | #Params |\n| --- | --- | --- | --- |\n| relu-RNN | 4 | 607 | 6.1M |","| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |\n| --- | --- | --- | --- | --- | --- |\n| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |\n| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |\n| unit | mV | mV/ms | ms | synapses | neurons |",0]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.79 | 0.78 |","| 128×128,22 | 0.91 | 0.90 |\n| --- | --- | --- |\n| 64×64,32 | 0.96 | 0.80 |\n| 128×128,32 | 0.99 | 0.89 |\n| 64×64,42 | 0.61 | 0.75 |\n| 128×128,42 | 0.84 | 0.89 |\n| Average | 0.85 | 0.84 |",1]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.79 | 0.78 |","| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.72 | 0.70 |\n| 128×128,22 | 0.88 | 0.87 |\n| 64×64,32 | 0.95 | 0.72 |\n| 128×128,32 | 0.98 | 0.85 |\n| 64×64,42 | 0.50 | 0.64 |\n| 128×128,42 | 0.79 | 0.85 |\n| Average | 0.80 | 0.77 |",0]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.79 | 0.78 |","| 128×128,22 | 0.91 | 0.90 |\n| --- | --- | --- |\n| 64×64,32 | 0.96 | 0.80 |\n| 128×128,32 | 0.99 | 0.89 |\n| 64×64,42 | 0.61 | 0.75 |\n| 128×128,42 | 0.84 | 0.89 |\n| Average | 0.85 | 0.84 |",1]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.79 | 0.78 |","| 64×64,42 | 0.50 | 0.64 |\n| --- | --- | --- |\n| 128×128,42 | 0.79 | 0.85 |\n| Average | 0.80 | 0.77 |",0]
["| Category | NumberTiles |\n| --- | --- |\n| Documentsofalllengths |  |","| Relevant<br>Notrelevant | 7563.8<br>44063.6 |\n| --- | --- |\n| Documentsoverathousandwords |  |\n| Relevant<br>Misses | 1768.1<br>9858.8 |",1]
["| Category | NumberTiles |\n| --- | --- |\n| Documentsofalllengths |  |","| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |\n| Mediannumberofwords | 54 |\n| Mediansentencelength | 51characters |\n| MedianNbrofwordsinsentence | 8 |",0]
["| Category | NumberTiles |\n| --- | --- |\n| Documentsofalllengths |  |","| Relevant<br>Notrelevant | 7563.8<br>44063.6 |\n| --- | --- |\n| Documentsoverathousandwords |  |\n| Relevant<br>Misses | 1768.1<br>9858.8 |",1]
["| Category | NumberTiles |\n| --- | --- |\n| Documentsofalllengths |  |","| Mediannumberofwords | 54 |\n| --- | --- |\n| Mediansentencelength | 51characters |\n| MedianNbrofwordsinsentence | 8 |",0]
["| Video | MSSIM | MSSSIM | PSNR(dB) |\n| --- | --- | --- | --- |\n| AbandonedBox | 0.9836 | 0.9980 | 58.6752 |\n| Backdoor | 0.9836 | 0.9978 | 60.4562 |\n| Busstation | 0.9892 | 0.9987 | 57.7467 |","| IntermittentPan | 0.9836 | 0.9978 | 57.7169 |\n| --- | --- | --- | --- |\n| TunnelExit | 0.9832 | 0.9977 | 57.6781 |\n| Port | 0.9833 | 0.9978 | 57.6868 |\n| Fountain | 0.9886 | 0.9985 | 57.6812 |\n| Overpass | 0.9847 | 0.998 | 57.676 |\n| Fountain2 | 0.9934 | 0.9992 | 57.6777 |\n| Canoe | 0.9858 | 0.9981 | 57.678 |\n| Fall | 0.9853 | 0.9980 | 57.7461 |",1]
["| Video | MSSIM | MSSSIM | PSNR(dB) |\n| --- | --- | --- | --- |\n| AbandonedBox | 0.9836 | 0.9980 | 58.6752 |\n| Backdoor | 0.9836 | 0.9978 | 60.4562 |\n| Busstation | 0.9892 | 0.9987 | 57.7467 |","| VMPaddress | Time<br>Aware | Shortest<br>Path |\n| --- | --- | --- |\n| viaAeroporto | 0.4604 | 0.4602 |\n| viaCascine | 0.3376 | 0.3178 |\n| viadiCisanello | 0.5880 | 0.5758 |\n| viaToscoRomagnola | 0.4511 | 0.4527 |\n| viaBrennero | 0.4770 | 0.4823 |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |\n| viaEmilia | 0.7050 | 0.6868 |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",0]
["| Video | MSSIM | MSSSIM | PSNR(dB) |\n| --- | --- | --- | --- |\n| AbandonedBox | 0.9836 | 0.9980 | 58.6752 |","| Backdoor | 0.9836 | 0.9978 | 60.4562 |\n| --- | --- | --- | --- |\n| Busstation | 0.9892 | 0.9987 | 57.7467 |\n| IntermittentPan | 0.9836 | 0.9978 | 57.7169 |\n| TunnelExit | 0.9832 | 0.9977 | 57.6781 |\n| Port | 0.9833 | 0.9978 | 57.6868 |\n| Fountain | 0.9886 | 0.9985 | 57.6812 |\n| Overpass | 0.9847 | 0.998 | 57.676 |\n| Fountain2 | 0.9934 | 0.9992 | 57.6777 |\n| Canoe | 0.9858 | 0.9981 | 57.678 |\n| Fall | 0.9853 | 0.9980 | 57.7461 |",1]
["| Video | MSSIM | MSSSIM | PSNR(dB) |\n| --- | --- | --- | --- |\n| AbandonedBox | 0.9836 | 0.9980 | 58.6752 |","| viaBrennero | 0.4770 | 0.4823 |\n| --- | --- | --- |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |\n| viaEmilia | 0.7050 | 0.6868 |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",0]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 | 31.6<br>35.4 |\n| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 | 48.3<br>65.6 |","| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 90.0490.81<br>90.7290.47<br>90.7090.47<br>90.7890.70 | 90.4390.43<br>90.6090.60<br>90.5990.59<br>90.7490.74 | 36.6<br>38.4<br>38.4<br>38.8 |\n| --- | --- | --- | --- |\n| ConstituentVoting<br>AlignmentandConsensus<br>Na¨ıveBayes | 92.4290.10<br>92.4390.08<br>92.4290.10 | 91.2691.25<br>91.2691.24<br>91.2691.25 | 37.9<br>37.9<br>37.9 |",1]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 | 31.6<br>35.4 |\n| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 | 48.3<br>65.6 |","| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 |\n| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 | 48.4<br>69.4 |\n| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 89.9090.89<br>90.9290.16<br>90.9490.21<br>90.9490.70 | 90.4090.39<br>90.5490.54<br>90.5790.57<br>90.8290.82 | 36.7<br>37.8<br>38.0<br>39.1 |\n| ConstituentVoting<br>Na¨ıveBayes<br>AlignmentandConsensus | 89.7891.80<br>92.4290.10<br>95.7082.82 | 90.7990.78<br>91.2691.25<br>89.2688.80 | 33.5<br>37.9<br>25.7 |",0]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 | 31.6<br>35.4 |\n| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 | 48.3<br>65.6 |","| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 90.0490.81<br>90.7290.47<br>90.7090.47<br>90.7890.70 | 90.4390.43<br>90.6090.60<br>90.5990.59<br>90.7490.74 | 36.6<br>38.4<br>38.4<br>38.8 |\n| --- | --- | --- | --- |\n| ConstituentVoting<br>AlignmentandConsensus<br>Na¨ıveBayes | 92.4290.10<br>92.4390.08<br>92.4290.10 | 91.2691.25<br>91.2691.24<br>91.2691.25 | 37.9<br>37.9<br>37.9 |",1]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 | 31.6<br>35.4 |\n| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 | 48.3<br>65.6 |","| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 | 48.4<br>69.4 |\n| --- | --- | --- | --- |\n| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 89.9090.89<br>90.9290.16<br>90.9490.21<br>90.9490.70 | 90.4090.39<br>90.5490.54<br>90.5790.57<br>90.8290.82 | 36.7<br>37.8<br>38.0<br>39.1 |\n| ConstituentVoting<br>Na¨ıveBayes<br>AlignmentandConsensus | 89.7891.80<br>92.4290.10<br>95.7082.82 | 90.7990.78<br>91.2691.25<br>89.2688.80 | 33.5<br>37.9<br>25.7 |",0]
["| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |\n| --- | --- | --- | --- | --- |\n| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |\n| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |\n| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |\n| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |\n| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– |","| 6 | 1<br>5<br>10<br>20<br>50<br>80 | 2.86±0.893.89±0.672.49±1.012.86±1.019.07±0.83<br>30.30±2.1721.89±2.0433.42±2.5233.59±2.6342.52±4.99<br>48.97±2.9649.14±2.5745.65±2.8545.88±2.9763.16±5.32<br>58.57±2.8458.97±2.6059.73±2.9657.11±3.2270.73±5.39<br>66.88±2.3167.84±2.4867.84±2.6364.05±2.9572.09±5.18<br>68.31±2.3369.44±2.4969.70±2.3566.78±2.94– | 2.56±0.748.97±0.97<br>35.18±1.3243.32±1.82<br>56.15±2.3665.75±2.76<br>64.72±3.1174.39±2.79<br>65.32±2.8674.75±2.60<br>65.08±2.7374.72±2.56 | 2.56±0.997.21±1.35<br>35.18±2.5244.65±4.14<br>47.24±2.5566.51±3.10<br>57.81±2.1874.52±3.10<br>65.12±2.9275.12±2.79<br>68.01±2.90– |\n| --- | --- | --- | --- | --- |\n| 7 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±1.194.55±1.072.12±1.072.81±0.8211.39±1.85<br>29.52±1.3822.51±1.2934.72±2.8632.03±2.4644.98±5.32<br>51.21±2.1149.39±3.1846.19±2.4346.10±2.6065.67±5.82<br>59.57±2.6460.91±2.7561.69±2.5757.58±2.7573.16±4.28<br>68.10±2.2169.35±1.8969.26±2.2265.54±2.7974.11±4.52<br>69.70±2.8470.39±1.7670.65±1.9767.97±2.45– | 2.38±1.3310.91±1.37<br>35.58±2.0445.89±2.34<br>56.84±2.0767.53±2.34<br>65.37±2.2474.89±1.97<br>65.37±2.0275.24±2.12<br>65.37±2.0275.19±2.18 | 1.99±1.198.57±1.68<br>35.02±1.8245.93±1.93<br>48.44±3.2066.93±2.01<br>58.31±2.6275.80±2.24<br>66.06±3.1076.88±1.72<br>68.14±2.96– |",1]
["| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |\n| --- | --- | --- | --- | --- |\n| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |\n| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |\n| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |\n| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |\n| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– |","| MR | CR |\n| --- | --- |\n| 71.11±0.80 | 71.22±1.04 |\n| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |\n| 79.84±1.26 | 83.61±1.60 |\n| MPQA | TREC |\n| 67.93±0.57 | 86.30±1.10 |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",0]
["| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |\n| --- | --- | --- | --- | --- |\n| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |\n| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |\n| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |\n| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |\n| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– |","| 6 | 1<br>5<br>10<br>20<br>50<br>80 | 2.86±0.893.89±0.672.49±1.012.86±1.019.07±0.83<br>30.30±2.1721.89±2.0433.42±2.5233.59±2.6342.52±4.99<br>48.97±2.9649.14±2.5745.65±2.8545.88±2.9763.16±5.32<br>58.57±2.8458.97±2.6059.73±2.9657.11±3.2270.73±5.39<br>66.88±2.3167.84±2.4867.84±2.6364.05±2.9572.09±5.18<br>68.31±2.3369.44±2.4969.70±2.3566.78±2.94– | 2.56±0.748.97±0.97<br>35.18±1.3243.32±1.82<br>56.15±2.3665.75±2.76<br>64.72±3.1174.39±2.79<br>65.32±2.8674.75±2.60<br>65.08±2.7374.72±2.56 | 2.56±0.997.21±1.35<br>35.18±2.5244.65±4.14<br>47.24±2.5566.51±3.10<br>57.81±2.1874.52±3.10<br>65.12±2.9275.12±2.79<br>68.01±2.90– |\n| --- | --- | --- | --- | --- |\n| 7 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±1.194.55±1.072.12±1.072.81±0.8211.39±1.85<br>29.52±1.3822.51±1.2934.72±2.8632.03±2.4644.98±5.32<br>51.21±2.1149.39±3.1846.19±2.4346.10±2.6065.67±5.82<br>59.57±2.6460.91±2.7561.69±2.5757.58±2.7573.16±4.28<br>68.10±2.2169.35±1.8969.26±2.2265.54±2.7974.11±4.52<br>69.70±2.8470.39±1.7670.65±1.9767.97±2.45– | 2.38±1.3310.91±1.37<br>35.58±2.0445.89±2.34<br>56.84±2.0767.53±2.34<br>65.37±2.2474.89±1.97<br>65.37±2.0275.24±2.12<br>65.37±2.0275.19±2.18 | 1.99±1.198.57±1.68<br>35.02±1.8245.93±1.93<br>48.44±3.2066.93±2.01<br>58.31±2.6275.80±2.24<br>66.06±3.1076.88±1.72<br>68.14±2.96– |",1]
["| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |\n| --- | --- | --- | --- | --- |\n| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |\n| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |\n| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |\n| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |\n| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– |","| 67.93±0.57 | 86.30±1.10 |\n| --- | --- |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",0]
["| Approaches | One-best | Lattices |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |\n| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |\n| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 |  |  |\n| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 |  |\n| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 |  |  |\n| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 |  |\n| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 |  |  |\n| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |\n| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 |  |  |\n| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |\n| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 |  |  |","| (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 |  |  |\n| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |\n| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 |  |  |\n| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |\n| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 |  |  |",1]
["| Approaches | One-best | Lattices |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |\n| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |\n| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 |  |  |\n| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 |  |\n| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 |  |  |\n| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 |  |\n| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 |  |  |\n| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |\n| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 |  |  |\n| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |\n| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 |  |  |","|  | DQN | D-DQN | DuelingD-DQN | Human |\n| --- | --- | --- | --- | --- |\n| F-Zero | 3116 | 3636 | 5161 | 6298 |\n| GradiusIII | 7583 | 12343 | 16929 | 24440 |\n| MortalKombat | 83733 | 56200 | 169300 | 132441 |\n| SuperMario | 11765 | 16946 | 20030 | 36386 |\n| Wolfenstein | 100 | 83 | 40 | 2952 |",0]
["| Approaches | One-best | Lattices |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |\n| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |\n| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 |  |  |\n| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 |  |\n| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 |  |  |\n| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 |  |\n| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 |  |  |\n| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |","| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |\n| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 |  |  |\n| (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |\n| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 |  |  |\n| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |\n| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 |  |  |\n| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |\n| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 |  |  |",1]
["| Approaches | One-best | Lattices |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |\n| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |\n| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 |  |  |\n| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 |  |\n| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 |  |  |\n| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 |  |\n| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 |  |  |\n| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |","| GradiusIII | 7583 | 12343 | 16929 | 24440 |\n| --- | --- | --- | --- | --- |\n| MortalKombat | 83733 | 56200 | 169300 | 132441 |\n| SuperMario | 11765 | 16946 | 20030 | 36386 |\n| Wolfenstein | 100 | 83 | 40 | 2952 |",0]
["| EmbeddingE | GeneratorG |\n| --- | --- |\n| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU |","| FC(64),BN,ReLU | Conv(128,5,2),BN,ReLU |\n| --- | --- |\n| FC(32),BN,ReLU | Conv(256,5,2),BN,ReLU |\n| FC(64),BN,ReLU | FC(1024),BN,ReLU |\n| FC(128),BN,ReLU | FC(128),BN,ReLU |\n| FC(136),Tanh | FC(4096),BN,ReLU |\n| DiscriminatorD | DeConv(256,5,2),BN,ReLU |\n| Conv(64,5,2),LN,LReLU | DeConv(128,5,2),BN,ReLU |\n| Conv(128,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |\n| Conv(256,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |\n| Conv(512,5,2),LN,LReLU | Conv(3,5,1),BN,Tanh |\n| Conv(1,5,2) |  |",1]
["| EmbeddingE | GeneratorG |\n| --- | --- |\n| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU |","| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| EmbeddingE | GeneratorG |\n| --- | --- |\n| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU |\n| FC(64),BN,ReLU | Conv(128,5,2),BN,ReLU |\n| FC(32),BN,ReLU | Conv(256,5,2),BN,ReLU |\n| FC(64),BN,ReLU | FC(1024),BN,ReLU |\n| FC(128),BN,ReLU | FC(128),BN,ReLU |\n| FC(136),Tanh | FC(4096),BN,ReLU |\n| DiscriminatorD | DeConv(256,5,2),BN,ReLU |\n| Conv(64,5,2),LN,LReLU | DeConv(128,5,2),BN,ReLU |\n| Conv(128,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |","| Conv(256,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |\n| --- | --- |\n| Conv(512,5,2),LN,LReLU | Conv(3,5,1),BN,Tanh |\n| Conv(1,5,2) |  |",1]
["| EmbeddingE | GeneratorG |\n| --- | --- |\n| FC(128),BN,ReLU | Conv(64,5,2),BN,ReLU |\n| FC(64),BN,ReLU | Conv(128,5,2),BN,ReLU |\n| FC(32),BN,ReLU | Conv(256,5,2),BN,ReLU |\n| FC(64),BN,ReLU | FC(1024),BN,ReLU |\n| FC(128),BN,ReLU | FC(128),BN,ReLU |\n| FC(136),Tanh | FC(4096),BN,ReLU |\n| DiscriminatorD | DeConv(256,5,2),BN,ReLU |\n| Conv(64,5,2),LN,LReLU | DeConv(128,5,2),BN,ReLU |\n| Conv(128,5,2),LN,LReLU | DeConv(64,5,2),BN,ReLU |","| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n| --- | --- | --- | --- |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.1292.84<br>100.0095.41 | 92.9892.98<br>97.7097.65 |","| SimilaritySwitching | 89.5089.88 | 89.6989.69 |\n| --- | --- | --- |\n| ConstituentVoting | 92.0989.18 | 90.6490.61 |",1]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.1292.84<br>100.0095.41 | 92.9892.98<br>97.7097.65 |","| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |\n| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",0]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 |","| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.1292.84<br>100.0095.41 | 92.9892.98<br>97.7097.65 |\n| --- | --- | --- |\n| SimilaritySwitching | 89.5089.88 | 89.6989.69 |\n| ConstituentVoting | 92.0989.18 | 90.6490.61 |",1]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.1486.91<br>88.7388.54 | 87.0287.02<br>88.6388.63 |","| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |\n| --- | --- | --- |\n| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",0]
["| x1,1 | x1,2 | ... | ... | x1,N |\n| --- | --- | --- | --- | --- |\n| x2,1 | x2,2 | ... | ... | x2,N |\n| ... | ... | ... | ... | ... |","| ... | ... | ... | ... | ... |\n| --- | --- | --- | --- | --- |\n| xM,1 | xM,2 | ... | ... | xM,N |",1]
["| x1,1 | x1,2 | ... | ... | x1,N |\n| --- | --- | --- | --- | --- |\n| x2,1 | x2,2 | ... | ... | x2,N |\n| ... | ... | ... | ... | ... |","| M | L | N | g1 | g2 | M | L | N | g1 | g2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | 32 | 64 | 16 | 2 | 64 | 64 | 64 | 32 | 2 |\n| 64 | 64 | 128 | 16 | 4 | 128 | 128 | 128 | 32 | 4 |\n| 128 | 128 | 256 | 32 | 4 | 256 | 256 | 256 | 64 | 4 |\n| 256 | 256 | 512 | 32 | 8 | 512 | 512 | 512 | 64 | 8 |\n| 512 | 512 | 1024 | 64 | 8 | 1024 | 1024 | 1024 | 128 | 8 |",0]
["| x1,1 | x1,2 | ... | ... | x1,N |\n| --- | --- | --- | --- | --- |\n| x2,1 | x2,2 | ... | ... | x2,N |\n| ... | ... | ... | ... | ... |","| ... | ... | ... | ... | ... |\n| --- | --- | --- | --- | --- |\n| xM,1 | xM,2 | ... | ... | xM,N |",1]
["| x1,1 | x1,2 | ... | ... | x1,N |\n| --- | --- | --- | --- | --- |\n| x2,1 | x2,2 | ... | ... | x2,N |\n| ... | ... | ... | ... | ... |","| 64 | 64 | 128 | 16 | 4 | 128 | 128 | 128 | 32 | 4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 128 | 128 | 256 | 32 | 4 | 256 | 256 | 256 | 64 | 4 |\n| 256 | 256 | 512 | 32 | 8 | 512 | 512 | 512 | 64 | 8 |\n| 512 | 512 | 1024 | 64 | 8 | 1024 | 1024 | 1024 | 128 | 8 |",0]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7347 | blocklar | sahinagic |\n| 0.7458 | frankenfeld | dhumatkar |\n| 0.7429 | kolin | wendly |\n| 0.7429 | lehky | turcon |","| 0.7368 | quinney | foica |\n| --- | --- | --- |\n| 0.7407 | runt | meij |",1]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7347 | blocklar | sahinagic |\n| 0.7458 | frankenfeld | dhumatkar |\n| 0.7429 | kolin | wendly |\n| 0.7429 | lehky | turcon |","| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.765 | baban | murati |\n| 0.769 | diz | pats |\n| 0.744 | himarios | nikezic |\n| 0.757 | lebris | ravino |\n| 0.750 | singsuk | lebudel |\n| 0.750 | waku | arrama |",0]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7347 | blocklar | sahinagic |\n| 0.7458 | frankenfeld | dhumatkar |","| 0.7429 | kolin | wendly |\n| --- | --- | --- |\n| 0.7429 | lehky | turcon |\n| 0.7368 | quinney | foica |\n| 0.7407 | runt | meij |",1]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7347 | blocklar | sahinagic |\n| 0.7458 | frankenfeld | dhumatkar |","| 0.769 | diz | pats |\n| --- | --- | --- |\n| 0.744 | himarios | nikezic |\n| 0.757 | lebris | ravino |\n| 0.750 | singsuk | lebudel |\n| 0.750 | waku | arrama |",0]
["|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| --- | --- | --- |\n| Spring | 0.0460.2490.157 | 0.0630.324 |\n| Gravity | 0.0080.0480.043 | 0.0130.081 |","| MagneticBilliards | 0.1110.3980.314 | 0.1790.332 |\n| --- | --- | --- |\n| Billiards | 0.1510.3910.308 | 0.1990.348 |\n| Euclideandeviationperobjectafterfullframewidthistravelled |  |  |\n|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| Spring | 0.0690.3040.213 | 0.0910.360 |\n| Gravity | 0.0090.0380.038 | 0.0100.057 |\n| MagneticBilliards | 0.1180.4170.455 | 0.1650.354 |\n| Billiards | 0.1790.4700.395 | 0.2230.411 |",1]
["|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| --- | --- | --- |\n| Spring | 0.0460.2490.157 | 0.0630.324 |\n| Gravity | 0.0080.0480.043 | 0.0130.081 |","| 3-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| --- | --- | --- |\n| Spring | 1.8313.2721.646 | 0.4261.844 |\n| Gravity | 1.2881.5721.194 | 0.1460.191 |\n| MagneticBilliards | 1.8782.9111.792 | 0.4541.863 |\n| Billiards | 1.6002.7521.391 | 0.9422.507 |\n| Drift | 2.9203.6632.474 | 0.00170.0052 |\n|  |  |  |\n| 6-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| Spring | 0.6080.8580.565 | 0.2350.324 |\n| Gravity | 0.4220.5970.416 | 0.0920.157 |\n| MagneticBilliards | 0.8361.3740.750 | 0.3490.791 |\n| Billiards | 1.0222.5820.918 | 0.8171.919 |\n| Drift | 0.8311.0830.749 | 0.00250.0069 |",0]
["|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| --- | --- | --- |\n| Spring | 0.0460.2490.157 | 0.0630.324 |\n| Gravity | 0.0080.0480.043 | 0.0130.081 |\n| MagneticBilliards | 0.1110.3980.314 | 0.1790.332 |","| Billiards | 0.1510.3910.308 | 0.1990.348 |\n| --- | --- | --- |\n| Euclideandeviationperobjectafterfullframewidthistravelled |  |  |\n|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| Spring | 0.0690.3040.213 | 0.0910.360 |\n| Gravity | 0.0090.0380.038 | 0.0100.057 |\n| MagneticBilliards | 0.1180.4170.455 | 0.1650.354 |\n| Billiards | 0.1790.4700.395 | 0.2230.411 |",1]
["|  | OurModelVisualLSTMVisualRNN | OurPredictorLSTMPredictor |\n| --- | --- | --- |\n| Spring | 0.0460.2490.157 | 0.0630.324 |\n| Gravity | 0.0080.0480.043 | 0.0130.081 |\n| MagneticBilliards | 0.1110.3980.314 | 0.1790.332 |","| Drift | 2.9203.6632.474 | 0.00170.0052 |\n| --- | --- | --- |\n|  |  |  |\n| 6-objectdatasets | VINVisualLSTMVisualRNN | VINfromStateLSTMfromState |\n| Spring | 0.6080.8580.565 | 0.2350.324 |\n| Gravity | 0.4220.5970.416 | 0.0920.157 |\n| MagneticBilliards | 0.8361.3740.750 | 0.3490.791 |\n| Billiards | 1.0222.5820.918 | 0.8171.919 |\n| Drift | 0.8311.0830.749 | 0.00250.0069 |",0]
["| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |\n| --- | --- | --- | --- | --- |\n| conv1base | 64 | 5×5 | 1/2 | 1 |\n| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |\n| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |\n| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |\n| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |\n| conv2base | 128 | 3×3 | 1/2 | 1 |\n| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |\n| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 |","| st/sep-module2svd2base | 128 | 1×1 | 0/1 | 1 |\n| --- | --- | --- | --- | --- |\n| conv3base | 256 | 3×3 | 1/2 | 4 |\n| st/sep-module3svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module3slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module3slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module3slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module3slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module3svd2base | 256 | 1×1 | 0/1 | 1 |\n| st/sep-module4svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module4slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module4slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module4slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module4slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module4svd2base | 256 | 1×1 | 0/1 | 1 |\n| conv4base | 256 | 3×3 | 1/2 | 4 |\n| st/sep-module5svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module5slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module5slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module5slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module5slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module5svd2base | 256 | 1×1 | 0/1 | 1 |\n| st/sep-module6svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module6slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module6slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module6slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module6slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module6svd2base | 256 | 1×1 | 0/1 | 1 |\n| conv5base | 512 | 3×3 | 1/2 | 16 |",1]
["| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |\n| --- | --- | --- | --- | --- |\n| conv1base | 64 | 5×5 | 1/2 | 1 |\n| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |\n| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |\n| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |\n| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |\n| conv2base | 128 | 3×3 | 1/2 | 1 |\n| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |\n| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 |","| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |\n| --- | --- | --- | --- | --- |\n| conv1base | 64 | 5×5 | 1/2 | 1 |\n| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |\n| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |\n| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |\n| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |\n| conv2base | 128 | 3×3 | 1/2 | 1 |\n| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |\n| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 |\n| st/sep-module2svd2base | 128 | 1×1 | 0/1 | 1 |\n| conv3base | 256 | 3×3 | 1/2 | 4 |\n| st/sep-module3svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module3slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module3slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module3slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module3slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module3svd2base | 256 | 1×1 | 0/1 | 1 |\n| st/sep-module4svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module4slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module4slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module4slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module4slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module4svd2base | 256 | 1×1 | 0/1 | 1 |\n| conv4base | 256 | 3×3 | 1/2 | 4 |\n| st/sep-module5svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module5slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module5slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module5slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module5slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module5svd2base | 256 | 1×1 | 0/1 | 1 |","| st/sep-module6svd1base | 128 | 1×1 | 0/1 | 1 |\n| --- | --- | --- | --- | --- |\n| st/sep-module6slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module6slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module6slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module6slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module6svd2base | 256 | 1×1 | 0/1 | 1 |\n| conv5base | 512 | 3×3 | 1/2 | 16 |",1]
["| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |\n| --- | --- | --- | --- | --- |\n| conv1base | 64 | 5×5 | 1/2 | 1 |\n| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |\n| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |\n| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |\n| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |\n| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |\n| conv2base | 128 | 3×3 | 1/2 | 1 |\n| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |\n| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |\n| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 |\n| st/sep-module2svd2base | 128 | 1×1 | 0/1 | 1 |\n| conv3base | 256 | 3×3 | 1/2 | 4 |\n| st/sep-module3svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module3slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module3slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module3slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module3slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module3svd2base | 256 | 1×1 | 0/1 | 1 |\n| st/sep-module4svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module4slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module4slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module4slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module4slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module4svd2base | 256 | 1×1 | 0/1 | 1 |\n| conv4base | 256 | 3×3 | 1/2 | 4 |\n| st/sep-module5svd1base | 128 | 1×1 | 0/1 | 1 |\n| st/sep-module5slice11x10base | 128 | 1×1 | 0/1 | 4 |\n| st/sep-module5slice13x30base | 128 | 3×3 | 1/1 | 4 |\n| st/sep-module5slice21x10base | 64 | 1×1 | 0/1 | 4 |\n| st/sep-module5slice23x30base | 64 | 3×3 | 1/1 | 4 |\n| st/sep-module5svd2base | 256 | 1×1 | 0/1 | 1 |","| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Method | Rain12 | Rain12S |\n| --- | --- | --- |\n| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |\n| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |\n| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 |","| LP | 32.020.9250.5240.936 | 29.410.8950.4300.901 |\n| --- | --- | --- |\n| DetailsNet | 33.430.9490.6080.955 | 31.010.9310.5070.934 |\n| JORDER | 35.860.9560.6270.963 | 29.690.9130.4720.922 |\n| JORDER-R | 36.020.9340.5160.937 | 28.250.8890.3960.899 |\n| Ours | 36.230.9650.6360.968 | 32.820.9490.5400.952 |",1]
["| Method | Rain12 | Rain12S |\n| --- | --- | --- |\n| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |\n| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |\n| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 |","|  | Rainyimages | GMM | SRCNN | DDN | JORDER |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |\n| Rain100H | 0.38 | 13.56 | 0.43 | 15.05 | 0.70 | 22.84 | 0.76 | 21.92 | 0.83 | 26.54 |\n| Rain100L | 0.84 | 26.90 | 0.86 | 28.65 | 0.91 | 29.39 | 0.93 | 32.16 | 0.97 | 36.63 |\n| Rain12 | 0.86 | 30.14 | 0.91 | 32.02 | 0.92 | 31.90 | 0.94 | 31.76 | 0.95 | 33.92 |\n| Parameters# | - | - | 20,099 | 57,369 | 369,792 |  |  |  |  |  |",0]
["| Method | Rain12 | Rain12S |\n| --- | --- | --- |\n| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |\n| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |\n| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 |","| LP | 32.020.9250.5240.936 | 29.410.8950.4300.901 |\n| --- | --- | --- |\n| DetailsNet | 33.430.9490.6080.955 | 31.010.9310.5070.934 |\n| JORDER | 35.860.9560.6270.963 | 29.690.9130.4720.922 |\n| JORDER-R | 36.020.9340.5160.937 | 28.250.8890.3960.899 |\n| Ours | 36.230.9650.6360.968 | 32.820.9490.5400.952 |",1]
["| Method | Rain12 | Rain12S |\n| --- | --- | --- |\n| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |\n| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |\n| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 |","| Rain100L | 0.84 | 26.90 | 0.86 | 28.65 | 0.91 | 29.39 | 0.93 | 32.16 | 0.97 | 36.63 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rain12 | 0.86 | 30.14 | 0.91 | 32.02 | 0.92 | 31.90 | 0.94 | 31.76 | 0.95 | 33.92 |\n| Parameters# | - | - | 20,099 | 57,369 | 369,792 |  |  |  |  |  |",0]
["|  |  |  |\n| --- | --- | --- |\n|  | NCS | Joule |","| NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 |\n| HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |\n| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |\n| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 |",1]
["|  |  |  |\n| --- | --- | --- |\n|  | NCS | Joule |","| LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. |  |\n|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |\n| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |\n|  | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |\n|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",0]
["|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | NCS | Joule |  |  |  |  |  |\n| NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |\n| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 |","| HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |\n| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 |",1]
["|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | NCS | Joule |  |  |  |  |  |\n| NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |\n| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 |","|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",0]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |\n| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |\n| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 |\n| 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 |\n| 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 |\n| 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 |\n| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 |","| 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 |",1]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |\n| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |\n| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 |\n| 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 |\n| 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 |\n| 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 |\n| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 |","| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |\n| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |\n| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |\n| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |\n| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |\n| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |\n| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |\n| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |\n| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |",0]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |\n| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |\n| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 |","| 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 |\n| 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 |\n| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 |\n| 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 |\n| 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 |",1]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |\n| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |\n| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 |","| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |\n| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |\n| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |\n| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |\n| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |",0]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F1 | P | R |\n| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |","| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| --- | --- | --- | --- | --- |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |\n| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |\n| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",1]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F1 | P | R |\n| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F1 | P | R |\n| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |\n| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |","| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |\n| --- | --- | --- | --- | --- |\n| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",1]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F1 | P | R |\n| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |\n| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |","| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |","| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| --- |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |","| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| --- |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |","| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| --- |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",0]
["| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 817 | 252,37 |\n| Rob02 | LPMS-R-10 | 1,141 | 79,016 |","| Rob03 | LPMS-R-10 | 1,510 | 51,493 |\n| --- | --- | --- | --- |\n| Rob04 | LPMS-R-10 | 1,741 | 31,598 |\n| Rob01 | LPMS-R-30 | 2,057 | 445,495 |\n| Rob02 | LPMS-R-30 | 3,394 | 118,184 |\n| Rob03 | LPMS-R-30 | 4,523 | 84,642 |\n| Rob04 | LPMS-R-30 | 4,828 | 51,415 |\n| Rob01 | LPMS-R-50 | 2,850 | 616,441 |\n| Rob02 | LPMS-R-50 | 5,262 | 171,993 |\n| Rob03 | LPMS-R-50 | 2,332 | 81,068 |\n| Rob04 | LPMS-R-50 | 5,973 | 50,773 |\n| Rob01 | LPMS-D-10 | 227 | 516,434 |\n| Rob02 | LPMS-D-10 | 3,241 | 552,450 |\n| Rob03 | LPMS-D-10 | 5,640 | 295,191 |\n| Rob04 | LPMS-D-10 | 7,671 | 240,604 |\n| Rob01 | LPMS-D-30 | 260 | 574,119 |\n| Rob02 | LPMS-D-30 | 5,882 | 883,673 |\n| Rob03 | LPMS-D-30 | 12,894 | 572,456 |\n| Rob04 | LPMS-D-30 | 16,572 | 366,812 |\n| Rob01 | LPMS-D-50 | 151 | 487,904 |\n| Rob02 | LPMS-D-50 | 6,114 | 1,020,066 |\n| Rob03 | LPMS-D-50 | 17,349 | 727,759 |\n| Rob04 | LPMS-D-50 | 24,161 | 510,894 |",1]
["| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 817 | 252,37 |\n| Rob02 | LPMS-R-10 | 1,141 | 79,016 |","| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 |  | 2687 |  | 3236 |\n| data | 190 | 188 | 405 | 383 | 699 | 660 |  | 1162 |  | 1865 |  | 2885 |\n| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 |  | 969 |  | 1564 |\n| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 |  | 258 |  | 438 |\n| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 |  | 493 |\n| bcsstk33 | 10105 | 10097 | 21756 | 21508 | 34377 | 34178 | 56687 | 54860 |  | 78132 |  | 108505 |\n| whitaker3 | 126 | 126 | 382 | 380 | 670 | 656 | 1163 | 1093 |  | 1717 |  | 2567 |\n| crack | 184 | 183 | 370 | 362 | 696 | 678 | 1183 | 1092 |  | 1707 |  | 2566 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19267 | 19199 | 25190 | 24553 | 35514 | 32167 | 46331 | 41399 |  | 49521 |\n| bcsstk29 | 2818 | 2818 | 8035 | 8159 | 14212 | 13965 | 23808 | 21768 |  | 34886 |  | 57054 |\n| 4elt | 138 | 138 | 325 | 321 | 561 | 534 | 1009 | 939 |  | 1559 |  | 2596 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 950 | 944 | 1815 | 1802 | 3056 | 2906 | 5044 | 4223 |  | 5875 |\n| memplus | 5698 | 5489 | 10234 | 9559 | 12599 | 11785 | 14410 | 13241 | 16340 | 14395 |  | 16857 |\n| cs4 | 378 | 367 | 970 | 940 | 1520 | 1467 | 2285 | 2206 | 3521 | 3090 |  | 4169 |\n| bcsstk30 | 6347 | 6335 | 16617 | 16622 | 34761 | 34604 | 72028 | 71234 |  | 115770 |  | 173945 |\n| bcsstk31 | 2723 | 2701 | 7351 | 7444 | 13371 | 13417 | 24791 | 24277 | 42745 | 38086 |  | 60528 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4667 | 4667 | 9247 | 9492 | 20855 | 21490 | 37372 | 37673 | 72471 | 61144 |  | 95199 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 78 | 75 | 213 | 211 | 470 | 465 | 866 | 849 | 1493 | 1391 |  | 2211 |\n| wing | 803 | 787 | 1683 | 1666 | 2616 | 2589 | 4147 | 4131 | 6271 | 5902 |  | 8132 |\n| brack2 | 708 | 708 | 3027 | 3038 | 7144 | 7269 | 11969 | 11983 | 18496 | 17798 |  | 26557 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 |  | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",0]
["| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 817 | 252,37 |\n| Rob02 | LPMS-R-10 | 1,141 | 79,016 |\n| Rob03 | LPMS-R-10 | 1,510 | 51,493 |","| Rob04 | LPMS-R-10 | 1,741 | 31,598 |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-30 | 2,057 | 445,495 |\n| Rob02 | LPMS-R-30 | 3,394 | 118,184 |\n| Rob03 | LPMS-R-30 | 4,523 | 84,642 |\n| Rob04 | LPMS-R-30 | 4,828 | 51,415 |\n| Rob01 | LPMS-R-50 | 2,850 | 616,441 |\n| Rob02 | LPMS-R-50 | 5,262 | 171,993 |\n| Rob03 | LPMS-R-50 | 2,332 | 81,068 |\n| Rob04 | LPMS-R-50 | 5,973 | 50,773 |\n| Rob01 | LPMS-D-10 | 227 | 516,434 |\n| Rob02 | LPMS-D-10 | 3,241 | 552,450 |\n| Rob03 | LPMS-D-10 | 5,640 | 295,191 |\n| Rob04 | LPMS-D-10 | 7,671 | 240,604 |\n| Rob01 | LPMS-D-30 | 260 | 574,119 |\n| Rob02 | LPMS-D-30 | 5,882 | 883,673 |\n| Rob03 | LPMS-D-30 | 12,894 | 572,456 |\n| Rob04 | LPMS-D-30 | 16,572 | 366,812 |\n| Rob01 | LPMS-D-50 | 151 | 487,904 |\n| Rob02 | LPMS-D-50 | 6,114 | 1,020,066 |\n| Rob03 | LPMS-D-50 | 17,349 | 727,759 |\n| Rob04 | LPMS-D-50 | 24,161 | 510,894 |",1]
["| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |\n| --- | --- | --- | --- |\n| Rob01 | LPMS-R-10 | 817 | 252,37 |\n| Rob02 | LPMS-R-10 | 1,141 | 79,016 |\n| Rob03 | LPMS-R-10 | 1,510 | 51,493 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",0]
["| SystemsMT04MT05Average |\n| --- |\n| Deep2str34.8932.2433.57 |\n| inCNN36.9233.7235.32 |","| inCNN-2pooling36.3332.8834.61 |\n| --- |\n| inCNN-4pooling36.4633.0134.74 |\n| inCNN-8pooling36.5733.3934.98 |",1]
["| SystemsMT04MT05Average |\n| --- |\n| Deep2str34.8932.2433.57 |\n| inCNN36.9233.7235.32 |","| IDNetworkstructureAveragePERmin-maxPERparamsops |\n| --- |\n| 1DNN2000+2x100022.0221.86-22.116.9M6.9M |\n| 2DNN2000+4x100021.8721.68-21.988.9M8.9M |\n| 3CNNLWS+2x100020.1719.92-20.415.4M10.7M |\n| 4CNNFWS+2x100020.3120.16-20.588.5M13.6M |\n| 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |\n| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M |",0]
["| SystemsMT04MT05Average |\n| --- |\n| Deep2str34.8932.2433.57 |\n| inCNN36.9233.7235.32 |","| inCNN-2pooling36.3332.8834.61 |\n| --- |\n| inCNN-4pooling36.4633.0134.74 |\n| inCNN-8pooling36.5733.3934.98 |",1]
["| SystemsMT04MT05Average |\n| --- |\n| Deep2str34.8932.2433.57 |\n| inCNN36.9233.7235.32 |","| 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |\n| --- |\n| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M |",0]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) |","| Stable | 644.989 | 384.961(1.67) | 192.991(3.34) | 99.071(6.51) | 55.764(11.56) |\n| --- | --- | --- | --- | --- | --- |\n| Knight | 270.672 | 139.307(1.94) | 69.951(3.86) | 35.338(7.65) | 22.504(12.02) |\n| SendMore | 111.345 | 64.650(1.72) | 32.562(3.41) | 16.504(6.74) | 9.806(11.35) |\n| 8-Costas | 70.362 | 35.899(1.95) | 19.383(3.63) | 9.197(7.65) | 5.441(12.93) |\n| 8-Puzzle | 53.843 | 48.754(1.1) | 15.490(3.47) | 12.731(4.22) | 8.111(6.63) |\n| Bart | 26.419 | 14.378(1.83) | 7.513(3.51) | 3.870(6.82) | 2.540(10.4) |\n| Solitaire | 11.883 | 7.187(1.65) | 3.664(3.24) | 1.955(6.07) | 1.363(8.71) |\n| 10-Queens | 7.595 | 3.857(1.96) | 2.117(3.58) | 1.330(5.71) | 1.160(6.54) |\n| Hamilton | 6.964 | 4.061(1.71) | 2.246(3.1) | 1.941(3.58) | 1.606(4.33) |\n| MapColoring | 2.207 | 1.389(1.58) | 0.816(2.7) | 0.595(3.7) | 0.469(4.7) |\n| 8-Queens | 0.304 | 0.194(1.56) | 0.181(1.67) | 0.155(1.96) | 0.177(1.71) |",1]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) |","| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |\n| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |\n| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |\n| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |\n| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |\n| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |\n| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",0]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) |","| Stable | 644.989 | 384.961(1.67) | 192.991(3.34) | 99.071(6.51) | 55.764(11.56) |\n| --- | --- | --- | --- | --- | --- |\n| Knight | 270.672 | 139.307(1.94) | 69.951(3.86) | 35.338(7.65) | 22.504(12.02) |\n| SendMore | 111.345 | 64.650(1.72) | 32.562(3.41) | 16.504(6.74) | 9.806(11.35) |\n| 8-Costas | 70.362 | 35.899(1.95) | 19.383(3.63) | 9.197(7.65) | 5.441(12.93) |\n| 8-Puzzle | 53.843 | 48.754(1.1) | 15.490(3.47) | 12.731(4.22) | 8.111(6.63) |\n| Bart | 26.419 | 14.378(1.83) | 7.513(3.51) | 3.870(6.82) | 2.540(10.4) |\n| Solitaire | 11.883 | 7.187(1.65) | 3.664(3.24) | 1.955(6.07) | 1.363(8.71) |\n| 10-Queens | 7.595 | 3.857(1.96) | 2.117(3.58) | 1.330(5.71) | 1.160(6.54) |\n| Hamilton | 6.964 | 4.061(1.71) | 2.246(3.1) | 1.941(3.58) | 1.606(4.33) |\n| MapColoring | 2.207 | 1.389(1.58) | 0.816(2.7) | 0.595(3.7) | 0.469(4.7) |\n| 8-Queens | 0.304 | 0.194(1.56) | 0.181(1.67) | 0.155(1.96) | 0.177(1.71) |",1]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) |","| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |\n| --- | --- | --- | --- | --- | --- |\n| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |\n| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |\n| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |","| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |","| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |","| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| typeoftokens | count |\n| --- | --- |\n| alltokens | 40049 |\n| noun | 14485 |\n| adj | 1320 |\n| adv | 1063 |\n| verb | 3459 |\n| strongpositive | 401 |\n| strongnegative | 359 |\n| weakpositive | 480 |\n| weaknegative | 433 |\n| capitalizedwords | 2022 |\n| mention(@) | 462 |","| hashtag(#) | 4330 |\n| --- | --- |\n| RT | 573 |\n| positiveemoticons | 8 |\n| positiveemoticons | 3 |",1]
["| typeoftokens | count |\n| --- | --- |\n| alltokens | 40049 |\n| noun | 14485 |\n| adj | 1320 |\n| adv | 1063 |\n| verb | 3459 |\n| strongpositive | 401 |\n| strongnegative | 359 |\n| weakpositive | 480 |\n| weaknegative | 433 |\n| capitalizedwords | 2022 |\n| mention(@) | 462 |","| Language | #ofTokens | #ofUniqueTokens | Projects |\n| --- | --- | --- | --- |\n| Java | 16797357 | 283255 | 12 |\n| Haskell | 19113708 | 473065 | 100 |\n| Ruby | 17187917 | 862575 | 15 |\n| Clojure | 12553943 | 563610 | 561 |\n| C | 14172588 | 306901 | 10 |",0]
["| typeoftokens | count |\n| --- | --- |\n| alltokens | 40049 |\n| noun | 14485 |\n| adj | 1320 |\n| adv | 1063 |\n| verb | 3459 |\n| strongpositive | 401 |\n| strongnegative | 359 |\n| weakpositive | 480 |\n| weaknegative | 433 |\n| capitalizedwords | 2022 |\n| mention(@) | 462 |\n| hashtag(#) | 4330 |\n| RT | 573 |","| positiveemoticons | 8 |\n| --- | --- |\n| positiveemoticons | 3 |",1]
["| typeoftokens | count |\n| --- | --- |\n| alltokens | 40049 |\n| noun | 14485 |\n| adj | 1320 |\n| adv | 1063 |\n| verb | 3459 |\n| strongpositive | 401 |\n| strongnegative | 359 |\n| weakpositive | 480 |\n| weaknegative | 433 |\n| capitalizedwords | 2022 |\n| mention(@) | 462 |\n| hashtag(#) | 4330 |\n| RT | 573 |","| Ruby | 17187917 | 862575 | 15 |\n| --- | --- | --- | --- |\n| Clojure | 12553943 | 563610 | 561 |\n| C | 14172588 | 306901 | 10 |",0]
["|  | TestImage |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | 1 | 2 | 3 | 4 | 5 |\n| BPDN | 29.47 | 32.91 | 30.08 | 31.73 | 30.19 |\n| CBPDN | 29.31 | 32.70 | 29.76 | 31.27 | 30.09 |\n| CBPDN+Grd | 29.28 | 32.76 | 30.02 | 31.22 | 30.12 |\n| CBPDN+STV | 30.17 | 33.01 | 29.90 | 32.09 | 30.34 |","| CBPDN+VTV | 29.60 | 33.04 | 29.96 | 31.63 | 30.31 |\n| --- | --- | --- | --- | --- | --- |\n| CBPDN+RTV | 29.28 | 32.84 | 29.76 | 31.29 | 30.19 |",1]
["|  | TestImage |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | 1 | 2 | 3 | 4 | 5 |\n| BPDN | 29.47 | 32.91 | 30.08 | 31.73 | 30.19 |\n| CBPDN | 29.31 | 32.70 | 29.76 | 31.27 | 30.09 |\n| CBPDN+Grd | 29.28 | 32.76 | 30.02 | 31.22 | 30.12 |\n| CBPDN+STV | 30.17 | 33.01 | 29.90 | 32.09 | 30.34 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |\n| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |\n| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |\n| BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |\n| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |\n| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 |",0]
["|  | TestImage |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | 1 | 2 | 3 | 4 | 5 |","| BPDN | 29.47 | 32.91 | 30.08 | 31.73 | 30.19 |\n| --- | --- | --- | --- | --- | --- |\n| CBPDN | 29.31 | 32.70 | 29.76 | 31.27 | 30.09 |\n| CBPDN+Grd | 29.28 | 32.76 | 30.02 | 31.22 | 30.12 |\n| CBPDN+STV | 30.17 | 33.01 | 29.90 | 32.09 | 30.34 |\n| CBPDN+VTV | 29.60 | 33.04 | 29.96 | 31.63 | 30.31 |\n| CBPDN+RTV | 29.28 | 32.84 | 29.76 | 31.29 | 30.19 |",1]
["|  | TestImage |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | 1 | 2 | 3 | 4 | 5 |","| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 |",0]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |","| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| --- | --- | --- |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |\n| dropout4(Dropout) | probability=0.2 | activation6 |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",1]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |","| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |\n| dropout4(Dropout) | probability=0.2 | activation6 |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",0]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |","| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| --- | --- | --- |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |\n| dropout4(Dropout) | probability=0.2 | activation6 |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",1]
["| Layer(type) | Parameters | PreviousLayer |\n| --- | --- | --- |\n| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |\n| activation1(Activation) | null | conv1 |\n| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |\n| activation2(Activation) | null | conv2 |\n| pooling1(Pooling) | poolsize=2 | activation2 |\n| dropout1(Dropout) | probability=0.2 | pooling1 |\n| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |\n| activation2(Activation) | null | conv3 |","| activation2(Activation) | null | conv3 |\n| --- | --- | --- |\n| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |\n| activation4(Activation) | null | conv4 |\n| pooling2(Pooling) | poolsize=2 | activation4 |\n| dropout2(Dropout) | probability=0.2 | pooling2 |\n| ﬂatten1(Flatten) | null | dropout2 |\n| fc1(FullyConnected) | #output=512 | ﬂatten1 |\n| activation5(Activation) | null | fc1 |\n| dropout3(Dropout) | probability=0.2 | activation5 |\n| fc2(FullyConnected) | #output=512 | dropout3 |\n| activation6(Activation) | null | fc2 |\n| dropout4(Dropout) | probability=0.2 | activation6 |\n| fc3(FullyConnected) | #output=10 | dropout4 |\n| softmax(SoftmaxOutput) | null | fc3 |",0]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |\n| p | theHTTPrequestcontains“n”andhexadecimal0x0a\\ |\n| attacked.xterm | ThetargetserverexecutesanXtermcommand |","| attacked.telnet | Thetargetservergeneratesareversetelnetconnection |\n| --- | --- |\n| telnet.port | Theportnumberofthereversetelnetconnection |",1]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |\n| p | theHTTPrequestcontains“n”andhexadecimal0x0a\\ |\n| attacked.xterm | ThetargetserverexecutesanXtermcommand |","| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| literal.value | Thevalueofthereceived“literal” |\n| f | Thetargethostcompletetheoperation |\n| g | Thetargethostallocatesmemoryspace |\n| p | Thetargethosthasamemoryerror |",0]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |\n| p | theHTTPrequestcontains“n”andhexadecimal0x0a\\ |\n| attacked.xterm | ThetargetserverexecutesanXtermcommand |","| attacked.telnet | Thetargetservergeneratesareversetelnetconnection |\n| --- | --- |\n| telnet.port | Theportnumberofthereversetelnetconnection |",1]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |\n| p | theHTTPrequestcontains“n”andhexadecimal0x0a\\ |\n| attacked.xterm | ThetargetserverexecutesanXtermcommand |","| g | Thetargethostallocatesmemoryspace |\n| --- | --- |\n| p | Thetargethosthasamemoryerror |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |","| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| --- | --- | --- | --- | --- | --- |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",1]
["|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |","| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| --- | --- | --- | --- | --- | --- |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",1]
["|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |","| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| Number | Products | Constraint |\n| --- | --- | --- |\n| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection |","| 2 | wholemilk,rolls/buns,tropicalfruit | Cannotbeinthesamesection |\n| --- | --- | --- |\n| 3 | whitewine,specialtychocolate | Mustbeinthesamesection |\n| 4 | yogurt | Hastobeinthecoolersection |\n| 5 | tropicalfruit | Cannotbeinthecoolersection |",1]
["| Number | Products | Constraint |\n| --- | --- | --- |\n| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection |","| reference | quantity |\n| --- | --- |\n| T-shirt | 5 |\n| Jeans | 10 |\n| Soda | 2 |\n| Friedpotatoes | 1 |\n| Water | 12 |",0]
["| Number | Products | Constraint |\n| --- | --- | --- |\n| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection |\n| 2 | wholemilk,rolls/buns,tropicalfruit | Cannotbeinthesamesection |","| 3 | whitewine,specialtychocolate | Mustbeinthesamesection |\n| --- | --- | --- |\n| 4 | yogurt | Hastobeinthecoolersection |\n| 5 | tropicalfruit | Cannotbeinthecoolersection |",1]
["| Number | Products | Constraint |\n| --- | --- | --- |\n| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection |\n| 2 | wholemilk,rolls/buns,tropicalfruit | Cannotbeinthesamesection |","| Jeans | 10 |\n| --- | --- |\n| Soda | 2 |\n| Friedpotatoes | 1 |\n| Water | 12 |",0]
["|  | Stochastic | Rush | RTMM | RRTMM |\n| --- | --- | --- | --- | --- |\n| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 |","| Rush | 0-0-20 | 0-20-0 | 16-4-0 | 19-1-0 |\n| --- | --- | --- | --- | --- |\n| RTMM | 0-0-20 | 0-4-16 | 0-20-0 | 0-20-0 |\n| RRTMM | 0-0-20 | 0-1-19 | 0-20-0 | 0-20-0 |\n| total | 10-0-70 | 20-25-35 | 36-44-0 | 39-41-0 |",1]
["|  | Stochastic | Rush | RTMM | RRTMM |\n| --- | --- | --- | --- | --- |\n| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 |","|  | DSTC2 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["|  | Stochastic | Rush | RTMM | RRTMM |\n| --- | --- | --- | --- | --- |\n| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 |\n| Rush | 0-0-20 | 0-20-0 | 16-4-0 | 19-1-0 |\n| RTMM | 0-0-20 | 0-4-16 | 0-20-0 | 0-20-0 |","| RRTMM | 0-0-20 | 0-1-19 | 0-20-0 | 0-20-0 |\n| --- | --- | --- | --- | --- |\n| total | 10-0-70 | 20-25-35 | 36-44-0 | 39-41-0 |",1]
["|  | Stochastic | Rush | RTMM | RRTMM |\n| --- | --- | --- | --- | --- |\n| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 |\n| Rush | 0-0-20 | 0-20-0 | 16-4-0 | 19-1-0 |\n| RTMM | 0-0-20 | 0-4-16 | 0-20-0 | 0-20-0 |","| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 |\n| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |\n| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |\n| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 |","| Cha. | 19.1 | 19.3 | 18.2 | 19.4 | 19.5 | 19.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Marl. | 19.3 | 19.3 | 18.1 | 18.9 | 19.4 | 20.9 |",1]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 |\n| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |\n| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |\n| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 |","| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |\n| Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 |\n| Fle. | 17.3 | 17.0 | 18.7 | 17.6 | 17.4 | 17.9 |\n| Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 |\n| Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 |\n| Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 |",0]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 |","| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |\n| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 |\n| Cha. | 19.1 | 19.3 | 18.2 | 19.4 | 19.5 | 19.4 |\n| Marl. | 19.3 | 19.3 | 18.1 | 18.9 | 19.4 | 20.9 |",1]
["| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 |","| Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 |\n| Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |\n| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |\n| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |\n| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |\n| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |\n| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 |","| 6 | 26.24 | 26.84 | 26.90 | 24.65 | 24.74 | 27.39 | 27.30 | 26.88 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 27.88 | 30.28 | 30.40 | 25.63 | 27.69 | 30.47 | 30.54 | 29.70 |\n| 8 | 25.05 | 25.59 | 25.83 | 24.02 | 25.30 | 26.71 | 26.75 | 25.26 |\n| 9 | 28.44 | 30.75 | 30.81 | 25.94 | 27.44 | 30.86 | 30.92 | 30.29 |\n| 10 | 28.27 | 30.38 | 30.57 | 25.87 | 28.42 | 30.65 | 30.68 | 29.95 |\n| 11 | 26.95 | 28.00 | 28.14 | 25.32 | 24.67 | 28.19 | 28.16 | 27.61 |\n| 12 | 28.76 | 30.87 | 31.05 | 26.01 | 28.37 | 30.97 | 31.06 | 30.58 |\n| 13 | 23.76 | 23.95 | 23.99 | 23.53 | 22.76 | 24.27 | 24.15 | 23.52 |\n| 14 | 26.02 | 26.97 | 27.11 | 24.94 | 25.68 | 27.20 | 27.15 | 26.55 |\n| 15 | 28.38 | 30.15 | 30.44 | 26.06 | 28.21 | 30.52 | 30.60 | 30.13 |\n| 16 | 27.75 | 28.82 | 28.87 | 25.69 | 26.66 | 29.27 | 29.21 | 29.02 |\n| 17 | 27.90 | 29.57 | 29.80 | 25.85 | 28.32 | 29.78 | 29.79 | 29.16 |\n| 18 | 25.77 | 26.40 | 26.41 | 24.74 | 25.70 | 26.63 | 26.56 | 26.01 |\n| 19 | 27.30 | 28.67 | 28.81 | 25.40 | 26.52 | 29.19 | 29.22 | 28.67 |\n| 20 | 28.96 | 30.40 | 30.76 | 24.95 | 25.90 | 30.79 | 30.83 | 29.97 |\n| 21 | 26.54 | 27.53 | 27.60 | 25.06 | 26.48 | 27.80 | 27.75 | 27.12 |\n| 22 | 27.05 | 28.17 | 28.27 | 25.36 | 26.60 | 28.21 | 28.16 | 27.81 |\n| 23 | 29.14 | 32.31 | 32.51 | 26.13 | 23.24 | 31.89 | 31.97 | 31.21 |\n| 24 | 25.75 | 26.41 | 26.53 | 24.55 | 25.73 | 27.10 | 27.03 | 26.18 |\n| Average | 27.13 | 28.54 | 28.68 | 25.24 | 26.19 | 28.84 | 28.83 | 28.22 |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |\n| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |\n| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |\n| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |\n| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |\n| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |\n| 222CNN | 101 | 74 | 5 | 27 | 0.937 | 0.733 | 0.822 | 309 | 273 | 11 | 36 | 0.961 |\n| 224ABC | 131 | 108 | 10 | 23 | 0.915 | 0.824 | 0.867 | 296 | 281 | 13 | 15 | 0.956 |\n| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |\n| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |\n| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |\n| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |\n| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |\n| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |\n| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |\n| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |\n| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |\n| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 |\n| 6 | 26.24 | 26.84 | 26.90 | 24.65 | 24.74 | 27.39 | 27.30 | 26.88 |\n| 7 | 27.88 | 30.28 | 30.40 | 25.63 | 27.69 | 30.47 | 30.54 | 29.70 |\n| 8 | 25.05 | 25.59 | 25.83 | 24.02 | 25.30 | 26.71 | 26.75 | 25.26 |\n| 9 | 28.44 | 30.75 | 30.81 | 25.94 | 27.44 | 30.86 | 30.92 | 30.29 |\n| 10 | 28.27 | 30.38 | 30.57 | 25.87 | 28.42 | 30.65 | 30.68 | 29.95 |\n| 11 | 26.95 | 28.00 | 28.14 | 25.32 | 24.67 | 28.19 | 28.16 | 27.61 |\n| 12 | 28.76 | 30.87 | 31.05 | 26.01 | 28.37 | 30.97 | 31.06 | 30.58 |\n| 13 | 23.76 | 23.95 | 23.99 | 23.53 | 22.76 | 24.27 | 24.15 | 23.52 |\n| 14 | 26.02 | 26.97 | 27.11 | 24.94 | 25.68 | 27.20 | 27.15 | 26.55 |\n| 15 | 28.38 | 30.15 | 30.44 | 26.06 | 28.21 | 30.52 | 30.60 | 30.13 |\n| 16 | 27.75 | 28.82 | 28.87 | 25.69 | 26.66 | 29.27 | 29.21 | 29.02 |\n| 17 | 27.90 | 29.57 | 29.80 | 25.85 | 28.32 | 29.78 | 29.79 | 29.16 |\n| 18 | 25.77 | 26.40 | 26.41 | 24.74 | 25.70 | 26.63 | 26.56 | 26.01 |","| 19 | 27.30 | 28.67 | 28.81 | 25.40 | 26.52 | 29.19 | 29.22 | 28.67 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 28.96 | 30.40 | 30.76 | 24.95 | 25.90 | 30.79 | 30.83 | 29.97 |\n| 21 | 26.54 | 27.53 | 27.60 | 25.06 | 26.48 | 27.80 | 27.75 | 27.12 |\n| 22 | 27.05 | 28.17 | 28.27 | 25.36 | 26.60 | 28.21 | 28.16 | 27.81 |\n| 23 | 29.14 | 32.31 | 32.51 | 26.13 | 23.24 | 31.89 | 31.97 | 31.21 |\n| 24 | 25.75 | 26.41 | 26.53 | 24.55 | 25.73 | 27.10 | 27.03 | 26.18 |\n| Average | 27.13 | 28.54 | 28.68 | 25.24 | 26.19 | 28.84 | 28.83 | 28.22 |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |\n| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |\n| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |\n| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |\n| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |\n| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 |\n| 6 | 26.24 | 26.84 | 26.90 | 24.65 | 24.74 | 27.39 | 27.30 | 26.88 |\n| 7 | 27.88 | 30.28 | 30.40 | 25.63 | 27.69 | 30.47 | 30.54 | 29.70 |\n| 8 | 25.05 | 25.59 | 25.83 | 24.02 | 25.30 | 26.71 | 26.75 | 25.26 |\n| 9 | 28.44 | 30.75 | 30.81 | 25.94 | 27.44 | 30.86 | 30.92 | 30.29 |\n| 10 | 28.27 | 30.38 | 30.57 | 25.87 | 28.42 | 30.65 | 30.68 | 29.95 |\n| 11 | 26.95 | 28.00 | 28.14 | 25.32 | 24.67 | 28.19 | 28.16 | 27.61 |\n| 12 | 28.76 | 30.87 | 31.05 | 26.01 | 28.37 | 30.97 | 31.06 | 30.58 |\n| 13 | 23.76 | 23.95 | 23.99 | 23.53 | 22.76 | 24.27 | 24.15 | 23.52 |\n| 14 | 26.02 | 26.97 | 27.11 | 24.94 | 25.68 | 27.20 | 27.15 | 26.55 |\n| 15 | 28.38 | 30.15 | 30.44 | 26.06 | 28.21 | 30.52 | 30.60 | 30.13 |\n| 16 | 27.75 | 28.82 | 28.87 | 25.69 | 26.66 | 29.27 | 29.21 | 29.02 |\n| 17 | 27.90 | 29.57 | 29.80 | 25.85 | 28.32 | 29.78 | 29.79 | 29.16 |\n| 18 | 25.77 | 26.40 | 26.41 | 24.74 | 25.70 | 26.63 | 26.56 | 26.01 |","| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |\n| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |\n| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |\n| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 |",0]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=149.00,corrects=14.00)<br>rappel=0.083precision=0.094f-mesure=0.088 |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=24.00)<br>rappel=0.118precision=0.075f-mesure=0.092 |","| -classe1910(attendus=201,ramenes=86.00,corrects=4.00)<br>rappel=0.020precision=0.047f-mesure=0.028 |\n| --- |\n| -classe1920(attendus=200,ramenes=169.00,corrects=13.00)<br>rappel=0.065precision=0.077f-mesure=0.070 |\n| -classe1930(attendus=200,ramenes=104.00,corrects=10.00)<br>rappel=0.050precision=0.096f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.094 |",1]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=149.00,corrects=14.00)<br>rappel=0.083precision=0.094f-mesure=0.088 |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=24.00)<br>rappel=0.118precision=0.075f-mesure=0.092 |","| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=93.00,corrects=19.00)<br>rappel=0.112precision=0.204f-mesure=0.145 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=84.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=148.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.088 |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=101.00,corrects=10.00)<br>rappel=0.050precision=0.099f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=459.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 |","| -classe1880(attendus=169,ramenes=149.00,corrects=14.00)<br>rappel=0.083precision=0.094f-mesure=0.088 |\n| --- |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=24.00)<br>rappel=0.118precision=0.075f-mesure=0.092 |\n| -classe1910(attendus=201,ramenes=86.00,corrects=4.00)<br>rappel=0.020precision=0.047f-mesure=0.028 |\n| -classe1920(attendus=200,ramenes=169.00,corrects=13.00)<br>rappel=0.065precision=0.077f-mesure=0.070 |\n| -classe1930(attendus=200,ramenes=104.00,corrects=10.00)<br>rappel=0.050precision=0.096f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.094 |",1]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 |","| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| --- |\n| -classe1930(attendus=200,ramenes=101.00,corrects=10.00)<br>rappel=0.050precision=0.099f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=459.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| Combinationofpolynomialsandterms | Avg.RMSE |\n| --- | --- |\n| R,G,B,RG,GB,BR | 0.019 |\n| R,G,B,R,G,B | 0.018 |\n| R,G,B,R,G,B | 0.019 |\n| R,G,B,RG,GB,BR | 0.02 |\n| R,G,B,RG,GB,BR,RGB | 0.018 |","| R,G,B,RG,BG,BR,RG,GB,BR | 0.018 |\n| --- | --- |\n| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 |\n| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 |",1]
["| Combinationofpolynomialsandterms | Avg.RMSE |\n| --- | --- |\n| R,G,B,RG,GB,BR | 0.019 |\n| R,G,B,R,G,B | 0.018 |\n| R,G,B,R,G,B | 0.019 |\n| R,G,B,RG,GB,BR | 0.02 |\n| R,G,B,RG,GB,BR,RGB | 0.018 |","| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 5Endmembers | 8Endmembers |  |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1966 | 1 | 0.1521 | 1 |\n| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |\n| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |\n| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |\n| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |\n|  | GBM |  |  |  |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["| Combinationofpolynomialsandterms | Avg.RMSE |\n| --- | --- |\n| R,G,B,RG,GB,BR | 0.019 |\n| R,G,B,R,G,B | 0.018 |\n| R,G,B,R,G,B | 0.019 |","| R,G,B,RG,GB,BR | 0.02 |\n| --- | --- |\n| R,G,B,RG,GB,BR,RGB | 0.018 |\n| R,G,B,RG,BG,BR,RG,GB,BR | 0.018 |\n| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 |\n| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 |",1]
["| Combinationofpolynomialsandterms | Avg.RMSE |\n| --- | --- |\n| R,G,B,RG,GB,BR | 0.019 |\n| R,G,B,R,G,B | 0.018 |\n| R,G,B,R,G,B | 0.019 |","|  | GBM |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["| TrainingData | TestData |  |\n| --- | --- | --- |\n| ILSVRC2012Val | WebVisionVal |  |\n| 1K<br>D<br>ImageNet | 56.15 | 52.58 |","| WebVision | 47.55 | 57.03 |\n| --- | --- | --- |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",1]
["| TrainingData | TestData |  |\n| --- | --- | --- |\n| ILSVRC2012Val | WebVisionVal |  |\n| 1K<br>D<br>ImageNet | 56.15 | 52.58 |","| Domain | TrainingData |  |  |\n| --- | --- | --- | --- |\n| DImageNet | EVT | E∪DVTImageNet |  |\n| Dog | 65.80 | 67.56 | 70.22 |\n| Bird | 82.00 | 86.24 | 86.41 |\n| Wheeled | 68.95 | 72.20 | 74.59 |\n| Structure | 66.07 | 69.90 | 72.41 |",0]
["| TrainingData | TestData |\n| --- | --- |\n| ILSVRC2012Val | WebVisionVal |","| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| --- | --- | --- |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",1]
["| TrainingData | TestData |\n| --- | --- |\n| ILSVRC2012Val | WebVisionVal |","| Wheeled | 68.95 | 72.20 | 74.59 |\n| --- | --- | --- | --- |\n| Structure | 66.07 | 69.90 | 72.41 |",0]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[B] | 1.153×10 | 1 | 660 |\n| EX[B] | 1.153×10 | 2 | 532 |\n| EX[B] | 1.153×10 | 4 | 241 |\n| EX[B] | 1.153×10 | 8 | 144 |\n| EX[B] | 1.153×10 | 16 | 120 |\n| EG[B] | 6<br>7.405×10 | 1 | 1567 |\n| EG[B] | 7.405×10 | 2 | 1356 |\n| EG[B] | 7.405×10 | 4 | 517 |\n| EG[B] | 7.405×10 | 8 | 391 |\n| EG[B] | 7.405×10 | 16 | 287 |\n| E[CUD] | 6<br>5.767×10 | 1 | 1357 |\n| E[CUD] | 5.767×10 | 2 | 1063 |","| E[CUD] | 5.767×10 | 4 | 585 |\n| --- | --- | --- | --- |\n| E[CUD] | 5.767×10 | 8 | 454 |\n| E[CUD] | 5.767×10 | 16 | 372 |",1]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[B] | 1.153×10 | 1 | 660 |\n| EX[B] | 1.153×10 | 2 | 532 |\n| EX[B] | 1.153×10 | 4 | 241 |\n| EX[B] | 1.153×10 | 8 | 144 |\n| EX[B] | 1.153×10 | 16 | 120 |\n| EG[B] | 6<br>7.405×10 | 1 | 1567 |\n| EG[B] | 7.405×10 | 2 | 1356 |\n| EG[B] | 7.405×10 | 4 | 517 |\n| EG[B] | 7.405×10 | 8 | 391 |\n| EG[B] | 7.405×10 | 16 | 287 |\n| E[CUD] | 6<br>5.767×10 | 1 | 1357 |\n| E[CUD] | 5.767×10 | 2 | 1063 |","| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 1 | 2908 |\n| EX[H] | 1.716×10 | 2 | 2401 |\n| EX[H] | 1.716×10 | 4 | 937 |\n| EX[H] | 1.716×10 | 8 | 693 |\n| EX[H] | 1.716×10 | 16 | 251 |\n| EG[J] | 8<br>4.060×10 | 1 | 21678 |\n| EG[J] | 4.060×10 | 2 | 17147 |\n| EG[J] | 4.060×10 | 4 | 6525 |\n| EG[J] | 4.060×10 | 8 | 2983 |\n| EG[J] | 4.060×10 | 16 | 1226 |\n| E[KUH] | 7<br>7.524×10 | 1 | 1821 |\n| E[KUH] | 7.524×10 | 2 | 1714 |\n| E[KUH] | 7.524×10 | 4 | 602 |\n| E[KUH] | 7.524×10 | 8 | 377 |\n| E[KUH] | 7.524×10 | 16 | 203 |",0]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[B] | 1.153×10 | 1 | 660 |\n| EX[B] | 1.153×10 | 2 | 532 |\n| EX[B] | 1.153×10 | 4 | 241 |\n| EX[B] | 1.153×10 | 8 | 144 |\n| EX[B] | 1.153×10 | 16 | 120 |\n| EG[B] | 6<br>7.405×10 | 1 | 1567 |","| EG[B] | 7.405×10 | 2 | 1356 |\n| --- | --- | --- | --- |\n| EG[B] | 7.405×10 | 4 | 517 |\n| EG[B] | 7.405×10 | 8 | 391 |\n| EG[B] | 7.405×10 | 16 | 287 |\n| E[CUD] | 6<br>5.767×10 | 1 | 1357 |\n| E[CUD] | 5.767×10 | 2 | 1063 |\n| E[CUD] | 5.767×10 | 4 | 585 |\n| E[CUD] | 5.767×10 | 8 | 454 |\n| E[CUD] | 5.767×10 | 16 | 372 |",1]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[B] | 1.153×10 | 1 | 660 |\n| EX[B] | 1.153×10 | 2 | 532 |\n| EX[B] | 1.153×10 | 4 | 241 |\n| EX[B] | 1.153×10 | 8 | 144 |\n| EX[B] | 1.153×10 | 16 | 120 |\n| EG[B] | 6<br>7.405×10 | 1 | 1567 |","| EX[H] | 1.716×10 | 2 | 2401 |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 4 | 937 |\n| EX[H] | 1.716×10 | 8 | 693 |\n| EX[H] | 1.716×10 | 16 | 251 |\n| EG[J] | 8<br>4.060×10 | 1 | 21678 |\n| EG[J] | 4.060×10 | 2 | 17147 |\n| EG[J] | 4.060×10 | 4 | 6525 |\n| EG[J] | 4.060×10 | 8 | 2983 |\n| EG[J] | 4.060×10 | 16 | 1226 |\n| E[KUH] | 7<br>7.524×10 | 1 | 1821 |\n| E[KUH] | 7.524×10 | 2 | 1714 |\n| E[KUH] | 7.524×10 | 4 | 602 |\n| E[KUH] | 7.524×10 | 8 | 377 |\n| E[KUH] | 7.524×10 | 16 | 203 |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE |  |\n| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv |  |","| 3 | 1Bj2z4j3weU1g9jwu4oHQQA6x8x2G2FRRm |  |\n| --- | --- | --- |\n| 4 | 1MScgv8kvbVLwGbciuw44gvy23rocaNCc8 |  |\n| 5 | 1JXMiCkbrPiDWxoZ8oJ9yQZutHoaGQtXCF |  |\n| 6 | 12UrsknT8hqYGpi8NToS2GWCWaLKtR2UXn |  |\n| 7 | 1PAVxqYtWD1RBAjE5voSDnUSefGGUvCwpm |  |\n| 8 | 1N3qTaZsUqU2owUVjmijVyHB4uiid2JoXd |  |\n| 9 | 1PWLk2FP6r3FzKcqq9UgsYVZ9Ev6gufCsJ |  |\n| 10 | 1BLeMsrSLB8H1fDDLRhQbLHScoC58ncf4x |  |\n| 11 | 1A6GJMhpPhCcM557o62scEtuVXNAFe74fa |  |\n| 12 | 1BGDTqDZyD446Q71eGhdmWLzyCHVPZUJxv |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE |  |\n| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv |  |","| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i |  |\n| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r |  |\n| 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s |  |\n| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR |  |\n| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 |  |\n| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM |  |\n| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG |  |\n| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n |  |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE |  |\n| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv |  |\n| 3 | 1Bj2z4j3weU1g9jwu4oHQQA6x8x2G2FRRm |  |\n| 4 | 1MScgv8kvbVLwGbciuw44gvy23rocaNCc8 |  |\n| 5 | 1JXMiCkbrPiDWxoZ8oJ9yQZutHoaGQtXCF |  |\n| 6 | 12UrsknT8hqYGpi8NToS2GWCWaLKtR2UXn |  |\n| 7 | 1PAVxqYtWD1RBAjE5voSDnUSefGGUvCwpm |  |","| 8 | 1N3qTaZsUqU2owUVjmijVyHB4uiid2JoXd |  |\n| --- | --- | --- |\n| 9 | 1PWLk2FP6r3FzKcqq9UgsYVZ9Ev6gufCsJ |  |\n| 10 | 1BLeMsrSLB8H1fDDLRhQbLHScoC58ncf4x |  |\n| 11 | 1A6GJMhpPhCcM557o62scEtuVXNAFe74fa |  |\n| 12 | 1BGDTqDZyD446Q71eGhdmWLzyCHVPZUJxv |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE |  |\n| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv |  |\n| 3 | 1Bj2z4j3weU1g9jwu4oHQQA6x8x2G2FRRm |  |\n| 4 | 1MScgv8kvbVLwGbciuw44gvy23rocaNCc8 |  |\n| 5 | 1JXMiCkbrPiDWxoZ8oJ9yQZutHoaGQtXCF |  |\n| 6 | 12UrsknT8hqYGpi8NToS2GWCWaLKtR2UXn |  |\n| 7 | 1PAVxqYtWD1RBAjE5voSDnUSefGGUvCwpm |  |","| 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s |  |\n| --- | --- | --- |\n| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR |  |\n| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 |  |\n| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM |  |\n| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG |  |\n| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n |  |",0]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 99.44±1.10 | 100±0.0 | 78.05±7.26 |","| F16 | 100±0.0 | 99.72±0.93 | 79.16±8.18 |\n| --- | --- | --- | --- |\n| J11 | 95.55±3.99 | 96.94±2.15 | 64.72±6.14 |\n| J15 | 92.77±5.13 | 95.83±3.09 | 66.38±5.88 |\n| MIG29 | 98.33±2.56 | 99.16±1.44 | 77.50±7.98 |\n| MIG35 | 99.16±1.35 | 99.16±1.49 | 75.55±6.83 |\n| EF2000 | 99.72±0.85 | 100±0.0 | 91.94±4.25 |",1]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 99.44±1.10 | 100±0.0 | 78.05±7.26 |","| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 100±0.0 | 100±0.0 | 98.33±2.02 |\n| F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 |\n| J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 |\n| J15 | 97.08±4.16 | 97.08±4.95 | 90.83±6.35 |\n| MIG29 | 100±0.0 | 99.58±1.22 | 98.75±2.14 |\n| MIG35 | 99.16±1.84 | 98.75±3.16 | 96.66±3.53 |\n| EF2000 | 99.58±1.05 | 100±0.0 | 97.91±2.58 |",0]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 99.44±1.10 | 100±0.0 | 78.05±7.26 |\n| F16 | 100±0.0 | 99.72±0.93 | 79.16±8.18 |\n| J11 | 95.55±3.99 | 96.94±2.15 | 64.72±6.14 |","| J15 | 92.77±5.13 | 95.83±3.09 | 66.38±5.88 |\n| --- | --- | --- | --- |\n| MIG29 | 98.33±2.56 | 99.16±1.44 | 77.50±7.98 |\n| MIG35 | 99.16±1.35 | 99.16±1.49 | 75.55±6.83 |\n| EF2000 | 99.72±0.85 | 100±0.0 | 91.94±4.25 |",1]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 99.44±1.10 | 100±0.0 | 78.05±7.26 |\n| F16 | 100±0.0 | 99.72±0.93 | 79.16±8.18 |\n| J11 | 95.55±3.99 | 96.94±2.15 | 64.72±6.14 |","| MIG35 | 99.16±1.84 | 98.75±3.16 | 96.66±3.53 |\n| --- | --- | --- | --- |\n| EF2000 | 99.58±1.05 | 100±0.0 | 97.91±2.58 |",0]
["| GPPtimeper<br>iteration(sec.) | GPUtimeper<br>iteration(sec.) |\n| --- | --- |\n| 0.00024 | 0.000461 |\n| 0.000574 | 0.000511 |\n| 0.001223 | 0.000645 |\n| 0.003384 | 0.001053 |\n| 0.013076 | 0.002059 |\n| 0.045229 | 0.005027 |\n| 0.132726 | 0.012319 |\n| 0.294657 | 0.027673 |\n| 0.600787 | 0.056061 |\n| 1.074849 | 0.102469 |","| 1.7365 | 0.177313 |\n| --- | --- |\n| 3.267 | 0.3427 |",1]
["| GPPtimeper<br>iteration(sec.) | GPUtimeper<br>iteration(sec.) |\n| --- | --- |\n| 0.00024 | 0.000461 |\n| 0.000574 | 0.000511 |\n| 0.001223 | 0.000645 |\n| 0.003384 | 0.001053 |\n| 0.013076 | 0.002059 |\n| 0.045229 | 0.005027 |\n| 0.132726 | 0.012319 |\n| 0.294657 | 0.027673 |\n| 0.600787 | 0.056061 |\n| 1.074849 | 0.102469 |","| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |\n| --- | --- | --- |\n| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |\n| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |\n| 500020 | 1.70.363.111.08 | 246.846464.269.7 |\n| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |\n| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |\n| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |\n| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 |",0]
["| GPPtimeper<br>iteration(sec.) | GPUtimeper<br>iteration(sec.) |\n| --- | --- |\n| 0.00024 | 0.000461 |\n| 0.000574 | 0.000511 |\n| 0.001223 | 0.000645 |\n| 0.003384 | 0.001053 |\n| 0.013076 | 0.002059 |\n| 0.045229 | 0.005027 |\n| 0.132726 | 0.012319 |\n| 0.294657 | 0.027673 |\n| 0.600787 | 0.056061 |\n| 1.074849 | 0.102469 |","| 1.7365 | 0.177313 |\n| --- | --- |\n| 3.267 | 0.3427 |",1]
["| GPPtimeper<br>iteration(sec.) | GPUtimeper<br>iteration(sec.) |\n| --- | --- |\n| 0.00024 | 0.000461 |\n| 0.000574 | 0.000511 |\n| 0.001223 | 0.000645 |\n| 0.003384 | 0.001053 |\n| 0.013076 | 0.002059 |\n| 0.045229 | 0.005027 |\n| 0.132726 | 0.012319 |\n| 0.294657 | 0.027673 |\n| 0.600787 | 0.056061 |\n| 1.074849 | 0.102469 |","| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |\n| --- | --- | --- |\n| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |\n| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 |",0]
["| Abbreviation | Histogramofwhichplane |\n| --- | --- |\n| LBP-TOP | XY+XT+YT |\n| LBP-XYOT | XT+YT |","| LBP-XOT | XT |\n| --- | --- |\n| LBP-YOT | YT |\n| LBP | XY |",1]
["| Abbreviation | Histogramofwhichplane |\n| --- | --- |\n| LBP-TOP | XY+XT+YT |\n| LBP-XYOT | XT+YT |","| Ck | thek-thcluster |\n| --- | --- |\n| x | thepositionincanonicalframeforanodeofclusterCk |\n| y | thepositioninliveframetforanodeinclusterCk |\n| ck | thecentroidpositionofclusterCincanonicalframek |\n| c | thecentroidpositionofclusterCinliveframetk |\n| nk | thenumberofnodesbelongingtoclusterCincanonicalframek |\n| A(C)k | thecrosscovariancematrixofclusterCk |\n| (R,t) | rotationandtranslationofclusterCk |\n| (R,t) | optimalrotationandtranslationofclusterCk |\n| σkq | theq-thsingularvalueofA(C)k |",0]
["| Abbreviation | Histogramofwhichplane |\n| --- | --- |\n| LBP-TOP | XY+XT+YT |","| LBP-XYOT | XT+YT |\n| --- | --- |\n| LBP-XOT | XT |\n| LBP-YOT | YT |\n| LBP | XY |",1]
["| Abbreviation | Histogramofwhichplane |\n| --- | --- |\n| LBP-TOP | XY+XT+YT |","| (R,t) | rotationandtranslationofclusterCk |\n| --- | --- |\n| (R,t) | optimalrotationandtranslationofclusterCk |\n| σkq | theq-thsingularvalueofA(C)k |",0]
["|  | d-vector | DNN-class |\n| --- | --- | --- |\n| DNN-MFCC | 0.88 | 0.72 |\n| CNN-FBANK | 0.60 | 0.37 |","| CNN-Raw | 0.58 | 0.36 |\n| --- | --- | --- |\n| SINCNET | 0.51 | 0.32 |",1]
["|  | d-vector | DNN-class |\n| --- | --- | --- |\n| DNN-MFCC | 0.88 | 0.72 |\n| CNN-FBANK | 0.60 | 0.37 |","| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |\n| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["|  | d-vector | DNN-class |\n| --- | --- | --- |\n| DNN-MFCC | 0.88 | 0.72 |\n| CNN-FBANK | 0.60 | 0.37 |","| CNN-Raw | 0.58 | 0.36 |\n| --- | --- | --- |\n| SINCNET | 0.51 | 0.32 |",1]
["|  | d-vector | DNN-class |\n| --- | --- | --- |\n| DNN-MFCC | 0.88 | 0.72 |\n| CNN-FBANK | 0.60 | 0.37 |","| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| --- | --- | --- | --- |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["|  | Positionerror | <0.5m | <1m |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Orientationerror | method | #TP | Precision | Recall | #TP | Precision | Recall | #TP | Precision |\n| ◦<br><30 | Ours-FNL | 150 | 0.14 | 0.10 | 355 | 0.34 | 0.24 | 513 | 0.49 |\n| Ours-INST | 135 | 0.13 | 0.09 | 270 | 0.26 | 0.18 | 368 | 0.35 |  |\n| SubCNN | 99 | 0.10 | 0.07 | 254 | 0.26 | 0.17 | 376 | 0.38 |  |","| ◦<br><45 | Ours-FNL | 157 | 0.15 | 0.11 | 367 | 0.35 | 0.25 | 533 | 0.50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours-INST | 141 | 0.13 | 0.10 | 283 | 0.27 | 0.19 | 388 | 0.37 |  |\n| SubCNN | 99 | 0.10 | 0.07 | 257 | 0.26 | 0.17 | 383 | 0.38 |  |\n| − | Ours-FNL | 169 | 0.16 | 0.11 | 425 | 0.40 | 0.29 | 618 | 0.58 |\n| Ours-INST | 149 | 0.14 | 0.10 | 320 | 0.30 | 0.22 | 450 | 0.43 |  |\n| SubCNN | 104 | 0.10 | 0.07 | 272 | 0.27 | 0.18 | 409 | 0.41 |  |",1]
["|  | Positionerror | <0.5m | <1m |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Orientationerror | method | #TP | Precision | Recall | #TP | Precision | Recall | #TP | Precision |\n| ◦<br><30 | Ours-FNL | 150 | 0.14 | 0.10 | 355 | 0.34 | 0.24 | 513 | 0.49 |\n| Ours-INST | 135 | 0.13 | 0.09 | 270 | 0.26 | 0.18 | 368 | 0.35 |  |\n| SubCNN | 99 | 0.10 | 0.07 | 254 | 0.26 | 0.17 | 376 | 0.38 |  |","| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["|  | Positionerror | <0.5m | <1m |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Orientationerror | method | #TP | Precision | Recall | #TP | Precision | Recall | #TP | Precision |\n| ◦<br><30 | Ours-FNL | 150 | 0.14 | 0.10 | 355 | 0.34 | 0.24 | 513 | 0.49 |\n| Ours-INST | 135 | 0.13 | 0.09 | 270 | 0.26 | 0.18 | 368 | 0.35 |  |\n| SubCNN | 99 | 0.10 | 0.07 | 254 | 0.26 | 0.17 | 376 | 0.38 |  |\n| ◦<br><45 | Ours-FNL | 157 | 0.15 | 0.11 | 367 | 0.35 | 0.25 | 533 | 0.50 |\n| Ours-INST | 141 | 0.13 | 0.10 | 283 | 0.27 | 0.19 | 388 | 0.37 |  |","| SubCNN | 99 | 0.10 | 0.07 | 257 | 0.26 | 0.17 | 383 | 0.38 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| − | Ours-FNL | 169 | 0.16 | 0.11 | 425 | 0.40 | 0.29 | 618 | 0.58 |\n| Ours-INST | 149 | 0.14 | 0.10 | 320 | 0.30 | 0.22 | 450 | 0.43 |  |\n| SubCNN | 104 | 0.10 | 0.07 | 272 | 0.27 | 0.18 | 409 | 0.41 |  |",1]
["|  | Positionerror | <0.5m | <1m |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Orientationerror | method | #TP | Precision | Recall | #TP | Precision | Recall | #TP | Precision |\n| ◦<br><30 | Ours-FNL | 150 | 0.14 | 0.10 | 355 | 0.34 | 0.24 | 513 | 0.49 |\n| Ours-INST | 135 | 0.13 | 0.09 | 270 | 0.26 | 0.18 | 368 | 0.35 |  |\n| SubCNN | 99 | 0.10 | 0.07 | 254 | 0.26 | 0.17 | 376 | 0.38 |  |\n| ◦<br><45 | Ours-FNL | 157 | 0.15 | 0.11 | 367 | 0.35 | 0.25 | 533 | 0.50 |\n| Ours-INST | 141 | 0.13 | 0.10 | 283 | 0.27 | 0.19 | 388 | 0.37 |  |","| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| --- | --- | --- | --- | --- |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["| Name |\n| --- |\n| Apriori(All,Some,DynamicSome) |\n| GSP |\n| PSP |\n| SPADE |","| SPAM |\n| --- |\n| LAPIN |\n| LAPIN-SPAM |",1]
["| Name |\n| --- |\n| Apriori(All,Some,DynamicSome) |\n| GSP |\n| PSP |\n| SPADE |","| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |\n| Darkness | 1878 | CommercialDDoSbot |\n| Ddoser | 502 | CommercialDDoSbot |\n| jkddos | 333 | ComercialDDoSbot |\n| N0ise | 431 | CommericalDDoSbot |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| Name |\n| --- |\n| Apriori(All,Some,DynamicSome) |\n| GSP |\n| PSP |\n| SPADE |","| SPAM |\n| --- |\n| LAPIN |\n| LAPIN-SPAM |",1]
["| Name |\n| --- |\n| Apriori(All,Some,DynamicSome) |\n| GSP |\n| PSP |\n| SPADE |","| jkddos | 333 | ComercialDDoSbot |\n| --- | --- | --- |\n| N0ise | 431 | CommericalDDoSbot |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| RightSingularVector | LeftSingularVector |\n| --- | --- |\n| islamistlebaneseisraeli<br>palestinianbritishlatin<br>japaneseshiitegreek | territoriesimmigrantssea<br>ﬁlmscommunitiesnationals<br>rivalsafricaclients |\n| chrismikesteve<br>jasontimjeﬀ<br>bobbyiangreg | evansandersonharris<br>robinsonsmithphillips<br>collinsmurraymurphy |\n| singhberlusconisharon<br>blairputinabbas<br>netanyahubrownlevy | sharesrefereesuggesting<br>industriestestiﬁedinsisted<br>addingarguingyesterday |\n| tampacoloradominnesota<br>detroitclevelandphoenix<br>indianaseattledallas | bayderbydivision<br>countysoxdistrict<br>solerivervalleyballet |","| policemenhelicopterssoldiers<br>suspectsdemonstratorsguards<br>iraqispersonneldetainees | remainedexpressedoutst<br>recommendedremainsfeels<br>getsresumedsparked |\n| --- | --- |\n| saltchickenpepper<br>chocolatebuttercheese<br>creamsaucebread | chickencreampepper<br>saucecheesechocolate<br>saltbutterbread |",1]
["| RightSingularVector | LeftSingularVector |\n| --- | --- |\n| islamistlebaneseisraeli<br>palestinianbritishlatin<br>japaneseshiitegreek | territoriesimmigrantssea<br>ﬁlmscommunitiesnationals<br>rivalsafricaclients |\n| chrismikesteve<br>jasontimjeﬀ<br>bobbyiangreg | evansandersonharris<br>robinsonsmithphillips<br>collinsmurraymurphy |\n| singhberlusconisharon<br>blairputinabbas<br>netanyahubrownlevy | sharesrefereesuggesting<br>industriestestiﬁedinsisted<br>addingarguingyesterday |\n| tampacoloradominnesota<br>detroitclevelandphoenix<br>indianaseattledallas | bayderbydivision<br>countysoxdistrict<br>solerivervalleyballet |","| Debatepediaextendeddataset |  |  |\n| --- | --- | --- |\n| Topic | #argum | #pairs |\n| Violentgames/aggressiveness | 17 | 23 |\n| Chinaone-childpolicy | 11 | 14 |\n| Considercocaasanarcotic | 17 | 22 |\n| Childbeautycontests | 13 | 17 |\n| ArmingLibyanrebels | 13 | 15 |\n| Randomalcoholbreathtests | 11 | 14 |\n| Osamadeathphoto | 22 | 24 |\n| Privatizingsocialsecurity | 12 | 13 |\n| Internetaccessasaright | 15 | 17 |\n| Groundzeromosque | 11 | 12 |\n| Mandatorymilitaryservice | 15 | 17 |\n| NoﬂyzoneoverLibya | 18 | 19 |\n| Airportsecurityproﬁling | 12 | 13 |\n| Solarenergy | 18 | 19 |\n| Naturalgasvehicles | 16 | 17 |\n| Useofcellphones/driving | 16 | 16 |\n| Marijuanalegalization | 23 | 25 |\n| Gaymarriageasaright | 10 | 10 |\n| Vegetarianism | 14 | 13 |\n| TOTAL | 310 | 320 |",0]
["| RightSingularVector | LeftSingularVector |\n| --- | --- |\n| islamistlebaneseisraeli<br>palestinianbritishlatin<br>japaneseshiitegreek | territoriesimmigrantssea<br>ﬁlmscommunitiesnationals<br>rivalsafricaclients |","| chrismikesteve<br>jasontimjeﬀ<br>bobbyiangreg | evansandersonharris<br>robinsonsmithphillips<br>collinsmurraymurphy |\n| --- | --- |\n| singhberlusconisharon<br>blairputinabbas<br>netanyahubrownlevy | sharesrefereesuggesting<br>industriestestiﬁedinsisted<br>addingarguingyesterday |\n| tampacoloradominnesota<br>detroitclevelandphoenix<br>indianaseattledallas | bayderbydivision<br>countysoxdistrict<br>solerivervalleyballet |\n| policemenhelicopterssoldiers<br>suspectsdemonstratorsguards<br>iraqispersonneldetainees | remainedexpressedoutst<br>recommendedremainsfeels<br>getsresumedsparked |\n| saltchickenpepper<br>chocolatebuttercheese<br>creamsaucebread | chickencreampepper<br>saucecheesechocolate<br>saltbutterbread |",1]
["| RightSingularVector | LeftSingularVector |\n| --- | --- |\n| islamistlebaneseisraeli<br>palestinianbritishlatin<br>japaneseshiitegreek | territoriesimmigrantssea<br>ﬁlmscommunitiesnationals<br>rivalsafricaclients |","| Groundzeromosque | 11 | 12 |\n| --- | --- | --- |\n| Mandatorymilitaryservice | 15 | 17 |\n| NoﬂyzoneoverLibya | 18 | 19 |\n| Airportsecurityproﬁling | 12 | 13 |\n| Solarenergy | 18 | 19 |\n| Naturalgasvehicles | 16 | 17 |\n| Useofcellphones/driving | 16 | 16 |\n| Marijuanalegalization | 23 | 25 |\n| Gaymarriageasaright | 10 | 10 |\n| Vegetarianism | 14 | 13 |\n| TOTAL | 310 | 320 |",0]
["| P,PMM12 | AverageUtility |  |\n| --- | --- | --- |\n| IdealC=0Σ | AlwaysCommunicate | LGO-MSBPI |","| 0.2,0.2 | -17.012 | -117 | -17.262 |\n| --- | --- | --- | --- |\n| 0.2,0.8 | -16.999 | -117.028 | -87.27 |\n| 0.8,0.8 | -11.003 | -110.961 | -81.798 |",1]
["| P,PMM12 | AverageUtility |  |\n| --- | --- | --- |\n| IdealC=0Σ | AlwaysCommunicate | LGO-MSBPI |","| Pu | AverageCommunicationActsPerformed |  |  |  |\n| --- | --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |  |\n| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["| P,PMM12 | AverageUtility |  |\n| --- | --- | --- |\n| IdealC=0Σ | AlwaysCommunicate | LGO-MSBPI |","| 0.2,0.2 | -17.012 | -117 | -17.262 |\n| --- | --- | --- | --- |\n| 0.2,0.8 | -16.999 | -117.028 | -87.27 |\n| 0.8,0.8 | -11.003 | -110.961 | -81.798 |",1]
["| P,PMM12 | AverageUtility |  |\n| --- | --- | --- |\n| IdealC=0Σ | AlwaysCommunicate | LGO-MSBPI |","| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| --- | --- | --- | --- | --- |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["|  | Livingroom1 | Livingroom2 | Oﬃce1 | Oﬃce2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mean | median | mean | median | mean | median | mean | median |  |\n| ElasticFusion | 0.084 | 0.050 | 0.111 | 0.062 | 0.081 | 0.036 | 0.043 | 0.019 |\n| BundleFusion | 0.061 | 0.020 | 0.065 | 0.022 | 0.016 | 0.053 | 0.030 | 0.019 |","| CZK | 0.033 | 0.019 | 0.028 | 0.019 | 0.019 | 0.015 | 0.022 | 0.014 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ORB-SLAModometry | 0.031 | 0.015 | 0.022 | 0.018 | 0.019 | 0.012 | 0.014 | 0.010 |\n| ORB-SLAMfull | 0.017 | 0.010 | 0.010 | 0.008 | 0.015 | 0.010 | 0.013 | 0.010 |\n| Ours | 0.007 | 0.005 | 0.007 | 0.006 | 0.013 | 0.009 | 0.010 | 0.007 |",1]
["|  | Livingroom1 | Livingroom2 | Oﬃce1 | Oﬃce2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mean | median | mean | median | mean | median | mean | median |  |\n| ElasticFusion | 0.084 | 0.050 | 0.111 | 0.062 | 0.081 | 0.036 | 0.043 | 0.019 |\n| BundleFusion | 0.061 | 0.020 | 0.065 | 0.022 | 0.016 | 0.053 | 0.030 | 0.019 |","| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |\n| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["|  | Livingroom1 | Livingroom2 | Oﬃce1 | Oﬃce2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mean | median | mean | median | mean | median | mean | median |  |\n| ElasticFusion | 0.084 | 0.050 | 0.111 | 0.062 | 0.081 | 0.036 | 0.043 | 0.019 |","| BundleFusion | 0.061 | 0.020 | 0.065 | 0.022 | 0.016 | 0.053 | 0.030 | 0.019 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CZK | 0.033 | 0.019 | 0.028 | 0.019 | 0.019 | 0.015 | 0.022 | 0.014 |\n| ORB-SLAModometry | 0.031 | 0.015 | 0.022 | 0.018 | 0.019 | 0.012 | 0.014 | 0.010 |\n| ORB-SLAMfull | 0.017 | 0.010 | 0.010 | 0.008 | 0.015 | 0.010 | 0.013 | 0.010 |\n| Ours | 0.007 | 0.005 | 0.007 | 0.006 | 0.013 | 0.009 | 0.010 | 0.007 |",1]
["|  | Livingroom1 | Livingroom2 | Oﬃce1 | Oﬃce2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mean | median | mean | median | mean | median | mean | median |  |\n| ElasticFusion | 0.084 | 0.050 | 0.111 | 0.062 | 0.081 | 0.036 | 0.043 | 0.019 |","| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| --- | --- | --- | --- | --- |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 2 | 2 | 40 | 15 | 13 | 1 | 1 | 4 |\n| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |","| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |\n| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |\n| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 2 | 2 | 40 | 15 | 13 | 1 | 1 | 4 |\n| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 7 | 6 | 9 | 7 | 8 | 30/30 | 30/25 | 20/15 |\n| ohsumed | 26 | 26 | 38 | 37 | 8 | 30/10 | 20/5 | 30/5 |\n| acpj | 16 | 16 | - | - | 10 | 30/15 | 30/5 | 20/5 |\n| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 |\n| thrombin | 15 | 11 | 38 | 42 | 7 | 30/30 | 25/30 | 30/25 |\n| infant | 5 | 5 | 7 | 6 | 3 | 20/25 | 10/30 | 25/10 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 2 | 2 | 40 | 15 | 13 | 1 | 1 | 4 |\n| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |\n| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |\n| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |","| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 2 | 2 | 40 | 15 | 13 | 1 | 1 | 4 |\n| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |\n| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |\n| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |","| sido0 | 16 | 17 | 62 | 68 | 10 | 30/30 | 30/30 | 5/25 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| thrombin | 15 | 11 | 38 | 42 | 7 | 30/30 | 25/30 | 30/25 |\n| infant | 5 | 5 | 7 | 6 | 3 | 20/25 | 10/30 | 25/10 |",0]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.0769 | 0.3427 | 0.1119 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1266 | 0.2848 | 0.1709 |\n| WeThreeKings | 0.0757 | 0.2919 | 0.4324 |","| WeThreeKings-LayeredHMM | 0.2054 | 0.2865 | 0.1784 |\n| --- | --- | --- | --- |\n| Pachelbel’sCanon | 0.1497 | 0.2389 | 0.5191 |\n| Pachelbel’sCanon-TVAR(11) | 0.625 | 0.275 | 0.3000 |",1]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.0769 | 0.3427 | 0.1119 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1266 | 0.2848 | 0.1709 |\n| WeThreeKings | 0.0757 | 0.2919 | 0.4324 |","| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.4710 | 0.2101 | 0.0145 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1955 | 0.2849 | 0.2793 |\n| WeThreeKings | 0.2845 | 0.3724 | 0.0 |\n| WeThreeKings-LayeredHMM | 0.2049 | 0.3394 | 0.2294 |\n| Pachelbel’sCanon | 0.4286 | 0.1203 | 0.0075 |\n| Pachelbel’sCanon-TVAR(11) | 0.1477 | 0.2727 | 0.267 |",0]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.0769 | 0.3427 | 0.1119 |","| Beethoven’sOdetoJoy-LayeredHMM | 0.1266 | 0.2848 | 0.1709 |\n| --- | --- | --- | --- |\n| WeThreeKings | 0.0757 | 0.2919 | 0.4324 |\n| WeThreeKings-LayeredHMM | 0.2054 | 0.2865 | 0.1784 |\n| Pachelbel’sCanon | 0.1497 | 0.2389 | 0.5191 |\n| Pachelbel’sCanon-TVAR(11) | 0.625 | 0.275 | 0.3000 |",1]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.0769 | 0.3427 | 0.1119 |","| Beethoven’sOdetoJoy-LayeredHMM | 0.1955 | 0.2849 | 0.2793 |\n| --- | --- | --- | --- |\n| WeThreeKings | 0.2845 | 0.3724 | 0.0 |\n| WeThreeKings-LayeredHMM | 0.2049 | 0.3394 | 0.2294 |\n| Pachelbel’sCanon | 0.4286 | 0.1203 | 0.0075 |\n| Pachelbel’sCanon-TVAR(11) | 0.1477 | 0.2727 | 0.267 |",0]
["| #ofNodes | 903,183 |\n| --- | --- |\n| #ofEdges | 1,144,051 |","| #ofTrees | 70,610 |\n| --- | --- |\n| #ofComponents | 22,061 |\n| Avg.TreeSize | 40.19 |\n| Avg.TreeWidth | 3.81 |",1]
["| #ofNodes | 903,183 |\n| --- | --- |\n| #ofEdges | 1,144,051 |","|  | Nodes | Leaves | Levels |\n| --- | --- | --- | --- |\n| IGTree | 865 | 433 | 33 |\n| BS-tree | 719 | 360 | 86 |\n| C4.5 | 339 | 170 | 26 |\n| BD-tree | 451 | 226 | 52 |\n| SE-tree | 559 | 209 | 8 |",0]
["| #ofNodes | 903,183 |\n| --- | --- |\n| #ofEdges | 1,144,051 |\n| #ofTrees | 70,610 |","| #ofComponents | 22,061 |\n| --- | --- |\n| Avg.TreeSize | 40.19 |\n| Avg.TreeWidth | 3.81 |",1]
["| #ofNodes | 903,183 |\n| --- | --- |\n| #ofEdges | 1,144,051 |\n| #ofTrees | 70,610 |","| C4.5 | 339 | 170 | 26 |\n| --- | --- | --- | --- |\n| BD-tree | 451 | 226 | 52 |\n| SE-tree | 559 | 209 | 8 |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| 0.575 | 0.496 | 0.450 | 0.421 |\n|  |  |  |  |\n|  |  |  |  |","| 0.583 | 0.550 | 0.536 | 0.510 |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| 0.575 | 0.496 | 0.450 | 0.421 |\n|  |  |  |  |\n|  |  |  |  |","| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| 0.575 | 0.496 | 0.450 | 0.421 |\n|  |  |  |  |\n|  |  |  |  |","| 0.583 | 0.550 | 0.536 | 0.510 |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| 0.575 | 0.496 | 0.450 | 0.421 |\n|  |  |  |  |\n|  |  |  |  |","| 1 | 100 | 0.5 | 135.143 |\n| --- | --- | --- | --- |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| NetworkingServices | Amazon | Microsoft |\n| --- | --- | --- |\n| VirtualNetworking | AWSVPC | AzureVNet |","| DNSServices | AWSRoute53 | AzureDNS |\n| --- | --- | --- |\n| PrivateConnectivity | AWSDirectConnect | AzureExpressRoute |\n| ContentDeliveryNetwork | AWSCloudFront | AzureCDN |\n| LoadBalancing | AWSElasticLoadBalancing<br>Classic&ApplicationLoadBalancing | AzureLoadBalancer<br>AzureApplicationGateway |",1]
["| NetworkingServices | Amazon | Microsoft |\n| --- | --- | --- |\n| VirtualNetworking | AWSVPC | AzureVNet |","| ServiceType | Amazon | Microsoft |\n| --- | --- | --- |\n| ObjectStorage | AWSSimpleStorageService(S3) | AzureBlobStorage |\n| VirtualMachineDisk(Block)Storage | AWSElasticBlockStorage(EBS) | AzureManagedDisksStorage |\n| LongTermColdStorage | AWSGlacier | AzureBlobStorage(Cool) |\n| FileStorage | AWSElasticFileSystem(EFS) | AzureFileStorage |",0]
["| NetworkingServices | Amazon | Microsoft |\n| --- | --- | --- |\n| VirtualNetworking | AWSVPC | AzureVNet |","| DNSServices | AWSRoute53 | AzureDNS |\n| --- | --- | --- |\n| PrivateConnectivity | AWSDirectConnect | AzureExpressRoute |\n| ContentDeliveryNetwork | AWSCloudFront | AzureCDN |\n| LoadBalancing | AWSElasticLoadBalancing<br>Classic&ApplicationLoadBalancing | AzureLoadBalancer<br>AzureApplicationGateway |",1]
["| NetworkingServices | Amazon | Microsoft |\n| --- | --- | --- |\n| VirtualNetworking | AWSVPC | AzureVNet |","| VirtualMachineDisk(Block)Storage | AWSElasticBlockStorage(EBS) | AzureManagedDisksStorage |\n| --- | --- | --- |\n| LongTermColdStorage | AWSGlacier | AzureBlobStorage(Cool) |\n| FileStorage | AWSElasticFileSystem(EFS) | AzureFileStorage |",0]
["| Algorithm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| SUSY | HIGGS | HEPMASS | RLCPS | PokerHand |  |\n| ScalablePANFISMerging | 1349 | 5671 | 5280 | 630 | 218 |\n| ScalablePANFISVoting |  |  |  |  |  |\n| ScalablePANFISwithALMerging | 691 | 2852 | 2650 | 364 | 119 |","| ScalablePANFISwithALVoting |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Spark.KMeans | 290 | 1113 | 873 | 256 | 437 |\n| Spark.GLM | 457 | 2928 | 2092 | 606 | 967 |\n| Spark.GBT | 664 | 3401 | 3167 | 852 | 1308 |\n| Spark.RF | 259 | 1713 | 1239 | 262 | 548 |",1]
["| Algorithm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| SUSY | HIGGS | HEPMASS | RLCPS | PokerHand |  |\n| ScalablePANFISMerging | 1349 | 5671 | 5280 | 630 | 218 |\n| ScalablePANFISVoting |  |  |  |  |  |\n| ScalablePANFISwithALMerging | 691 | 2852 | 2650 | 364 | 119 |","| Simulationaverage |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |\n| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |\n| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |\n| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |\n| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |\n| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |\n| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |\n| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |\n| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |\n| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |\n| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |\n| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |\n| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |\n| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |\n| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |\n| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 |\n| 0.00135 | 1 | 1 | 13.17 | 9.48 | 559.70 | 0.00140 | 1 |\n| 0.00029 | 1 | 1 | 56.24 | 7.74 | 1916.14 | 0033 | 1 |\n| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 |\n| 0.00420 | 1 | 1 | 32.96 | 6.14 | 1136.27 | 0.00430 | 1 |\n| 0.01608 | 1 | 1 | 10.93 | 7.53 | 529.90 | 0.01620 | 1 |\n| 0.00543 | 1 | 1 | 11.59 | 10.32 | 712.02 | 0.00550 | 0.99 |\n| 0.00151 | 1 | 1 | 44.69 | 12.45 | 3555.04 | 0.00160 | 1 |\n| 0.01712 | 1 | 1 | 7.99 | 8.75 | 970.30 | 0.01710 | 0.99 |\n| 0.00028 | 1 | 1 | 31.65 | 8.73 | 1320.43 | 0.00034 | 1 |\n| 0.00442 | 1 | 0.95 | 26.23 | 3.38 | 966.61 | 0.00470 | 1 |\n| 0.00.00176 | 1 | 1 | 82.91 | 9.43 | 970.63 | 0.00190 | 1 |",0]
["| Algorithm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| SUSY | HIGGS | HEPMASS | RLCPS | PokerHand |  |\n| ScalablePANFISMerging | 1349 | 5671 | 5280 | 630 | 218 |\n| ScalablePANFISVoting |  |  |  |  |  |\n| ScalablePANFISwithALMerging | 691 | 2852 | 2650 | 364 | 119 |","| ScalablePANFISwithALVoting |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Spark.KMeans | 290 | 1113 | 873 | 256 | 437 |\n| Spark.GLM | 457 | 2928 | 2092 | 606 | 967 |\n| Spark.GBT | 664 | 3401 | 3167 | 852 | 1308 |\n| Spark.RF | 259 | 1713 | 1239 | 262 | 548 |",1]
["| Algorithm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| SUSY | HIGGS | HEPMASS | RLCPS | PokerHand |  |\n| ScalablePANFISMerging | 1349 | 5671 | 5280 | 630 | 218 |\n| ScalablePANFISVoting |  |  |  |  |  |\n| ScalablePANFISwithALMerging | 691 | 2852 | 2650 | 364 | 119 |","| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.00420 | 1 | 1 | 32.96 | 6.14 | 1136.27 | 0.00430 | 1 |\n| 0.01608 | 1 | 1 | 10.93 | 7.53 | 529.90 | 0.01620 | 1 |\n| 0.00543 | 1 | 1 | 11.59 | 10.32 | 712.02 | 0.00550 | 0.99 |\n| 0.00151 | 1 | 1 | 44.69 | 12.45 | 3555.04 | 0.00160 | 1 |\n| 0.01712 | 1 | 1 | 7.99 | 8.75 | 970.30 | 0.01710 | 0.99 |\n| 0.00028 | 1 | 1 | 31.65 | 8.73 | 1320.43 | 0.00034 | 1 |\n| 0.00442 | 1 | 0.95 | 26.23 | 3.38 | 966.61 | 0.00470 | 1 |\n| 0.00.00176 | 1 | 1 | 82.91 | 9.43 | 970.63 | 0.00190 | 1 |",0]
["| Datasets | COIL-20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.806<br>0.829 | 0.672<br>0.761 | 0.619<br>0.720 | 0.640<br>0.734 | 0.596<br>0.717 | 0.692<br>0.751 | 0.723<br>0.579 | 0.816<br>0.794 | 0.712<br>0.558 |\n| Co-reg<br>RMSC | 0.774<br>0.800 | 0.659<br>0.685 | 0.592<br>0.637 | 0.613<br>0.656 | 0.590<br>0.620 | 0.640<br>0.698 | 0.703<br>0.585 | 0.805<br>0.807 | 0.686<br>0.496 |","| DiMSC<br>LTMSC<br>ECMSC | 0.846<br>0.860<br>0.942 | 0.778<br>0.804<br>0.782 | 0.732<br>0.748<br>0.781 | 0.745<br>0.760<br>0.794 | 0.739<br>0.741<br>0.695 | 0.751<br>0.479<br>0.925 | 0.799<br>0.779<br>0.817 | 0.837<br>0.868<br>0.767 | 0.787<br>0.777<br>0.679 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t-SVD-MSC<br>ETLMSC | 0.884<br>0.947 | 0.830<br>0.877 | 0.786<br>0.862 | 0.800<br>0.869 | 0.785<br>0.830 | 0.808<br>0.914 | 0.900<br>0.911 | 0.957<br>0.951 | 0.900<br>0.898 |",1]
["| Datasets | COIL-20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.806<br>0.829 | 0.672<br>0.761 | 0.619<br>0.720 | 0.640<br>0.734 | 0.596<br>0.717 | 0.692<br>0.751 | 0.723<br>0.579 | 0.816<br>0.794 | 0.712<br>0.558 |\n| Co-reg<br>RMSC | 0.774<br>0.800 | 0.659<br>0.685 | 0.592<br>0.637 | 0.613<br>0.656 | 0.590<br>0.620 | 0.640<br>0.698 | 0.703<br>0.585 | 0.805<br>0.807 | 0.686<br>0.496 |","| Datasets | Scene-15 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |\n| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |\n| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",0]
["| Datasets | COIL-20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.806<br>0.829 | 0.672<br>0.761 | 0.619<br>0.720 | 0.640<br>0.734 | 0.596<br>0.717 | 0.692<br>0.751 | 0.723<br>0.579 | 0.816<br>0.794 | 0.712<br>0.558 |\n| Co-reg<br>RMSC | 0.774<br>0.800 | 0.659<br>0.685 | 0.592<br>0.637 | 0.613<br>0.656 | 0.590<br>0.620 | 0.640<br>0.698 | 0.703<br>0.585 | 0.805<br>0.807 | 0.686<br>0.496 |","| DiMSC<br>LTMSC<br>ECMSC | 0.846<br>0.860<br>0.942 | 0.778<br>0.804<br>0.782 | 0.732<br>0.748<br>0.781 | 0.745<br>0.760<br>0.794 | 0.739<br>0.741<br>0.695 | 0.751<br>0.479<br>0.925 | 0.799<br>0.779<br>0.817 | 0.837<br>0.868<br>0.767 | 0.787<br>0.777<br>0.679 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t-SVD-MSC<br>ETLMSC | 0.884<br>0.947 | 0.830<br>0.877 | 0.786<br>0.862 | 0.800<br>0.869 | 0.785<br>0.830 | 0.808<br>0.914 | 0.900<br>0.911 | 0.957<br>0.951 | 0.900<br>0.898 |",1]
["| Datasets | COIL-20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.806<br>0.829 | 0.672<br>0.761 | 0.619<br>0.720 | 0.640<br>0.734 | 0.596<br>0.717 | 0.692<br>0.751 | 0.723<br>0.579 | 0.816<br>0.794 | 0.712<br>0.558 |\n| Co-reg<br>RMSC | 0.774<br>0.800 | 0.659<br>0.685 | 0.592<br>0.637 | 0.613<br>0.656 | 0.590<br>0.620 | 0.640<br>0.698 | 0.703<br>0.585 | 0.805<br>0.807 | 0.686<br>0.496 |","| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",0]
["| Query-Type | Single-Query | Multi-Query |\n| --- | --- | --- |\n| Measure( | R1mAP | R1mAP |","| 2 | 83.964.4 | 88.872.9 |\n| --- | --- | --- |\n| 4 | 85.165.5 | 89.774.5 |\n| 6 | 83.462.6 | 88.571.8 |\n| 8 | 82.361.3 | 87.470.7 |\n| 10 | 81.760.4 | 87.269.8 |",1]
["| Query-Type | Single-Query | Multi-Query |\n| --- | --- | --- |\n| Measure( | R1mAP | R1mAP |","| SingleQuery<br>rank-1mAP |\n| --- |\n| 44.4220.76<br>51.9026.35<br>45.5826.11<br>39.419.6<br>48.2424.43<br>55.4329.87<br>48.1529.94<br>--<br>65.8839.55 |\n| 50.8926.79<br>62.1439.61 |\n| 65.0238.27<br>70.1647.45 |\n| 73.6951.48<br>79.5159.87 |",0]
["| Query-Type | Single-Query | Multi-Query |\n| --- | --- | --- |\n| Measure( | R1mAP | R1mAP |","| 2 | 83.964.4 | 88.872.9 |\n| --- | --- | --- |\n| 4 | 85.165.5 | 89.774.5 |\n| 6 | 83.462.6 | 88.571.8 |\n| 8 | 82.361.3 | 87.470.7 |\n| 10 | 81.760.4 | 87.269.8 |",1]
["| Query-Type | Single-Query | Multi-Query |\n| --- | --- | --- |\n| Measure( | R1mAP | R1mAP |","| 50.8926.79<br>62.1439.61 |\n| --- |\n| 65.0238.27<br>70.1647.45 |\n| 73.6951.48<br>79.5159.87 |",0]
["| Name | Description |\n| --- | --- |\n| αR | overheadareaperkBofregister-memorypervector-unit |\n| αM | overheadareaperkBofshared-memoryperSM |\n| αL1 | L1cacheoverheadareaperSM-pair |\n| αL2 | L2cacheoverheadarea |\n| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |","| RVU | kBofregisterﬁlespervector-unit |\n| --- | --- |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |\n| Acache | totalcachediearea |\n| Aoh | totalon-chipoverheaddiearea |\n| ALSU | totalload-storeunitdiearea |\n| ASFU | totalspecial-functionunitdiearea |\n| AFDU | totalfetch-decodeunitdiearea |\n| AIcache | totalinstruction-cachediearea |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",1]
["| Name | Description |\n| --- | --- |\n| αR | overheadareaperkBofregister-memorypervector-unit |\n| αM | overheadareaperkBofshared-memoryperSM |\n| αL1 | L1cacheoverheadareaperSM-pair |\n| αL2 | L2cacheoverheadarea |\n| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |","| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Name | Description |\n| --- | --- |\n| αR | overheadareaperkBofregister-memorypervector-unit |\n| αM | overheadareaperkBofshared-memoryperSM |\n| αL1 | L1cacheoverheadareaperSM-pair |\n| αL2 | L2cacheoverheadarea |\n| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |\n| RVU | kBofregisterﬁlespervector-unit |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |","| Acache | totalcachediearea |\n| --- | --- |\n| Aoh | totalon-chipoverheaddiearea |\n| ALSU | totalload-storeunitdiearea |\n| ASFU | totalspecial-functionunitdiearea |\n| AFDU | totalfetch-decodeunitdiearea |\n| AIcache | totalinstruction-cachediearea |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",1]
["| Name | Description |\n| --- | --- |\n| αR | overheadareaperkBofregister-memorypervector-unit |\n| αM | overheadareaperkBofshared-memoryperSM |\n| αL1 | L1cacheoverheadareaperSM-pair |\n| αL2 | L2cacheoverheadarea |\n| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |\n| RVU | kBofregisterﬁlespervector-unit |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |","| m | Numberofcolumns |\n| --- | --- |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 101/190<br>0.53 | 60/147<br>0.40 | 131/273<br>0.48 |\n| 0.5 | 66/118<br>0.56 | 46/92<br>0.5 | 92/174<br>0.53 |","| 0.65 | 61/107<br>0.57 | 46/83<br>0.55 | 87/157<br>0.55 |\n| --- | --- | --- | --- |\n| 0.85 | 47/78<br>0.6 | 46/74<br>0.62 | 73/119<br>0.61 |",1]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 101/190<br>0.53 | 60/147<br>0.40 | 131/273<br>0.48 |\n| 0.5 | 66/118<br>0.56 | 46/92<br>0.5 | 92/174<br>0.53 |","| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 |\n| 0.37 | 17/32<br>0.52 | 67/105<br>0.63 | 75/114<br>0.65 |\n| 0.41 | 13/15<br>0.86 | 62/79<br>0.78 | 68/86<br>0.79 |\n| 0.45 | 10/12<br>0.83 | 59/67<br>0.88 | 64/73<br>0.87 |",0]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 101/190<br>0.53 | 60/147<br>0.40 | 131/273<br>0.48 |\n| 0.5 | 66/118<br>0.56 | 46/92<br>0.5 | 92/174<br>0.53 |","| 0.65 | 61/107<br>0.57 | 46/83<br>0.55 | 87/157<br>0.55 |\n| --- | --- | --- | --- |\n| 0.85 | 47/78<br>0.6 | 46/74<br>0.62 | 73/119<br>0.61 |",1]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 101/190<br>0.53 | 60/147<br>0.40 | 131/273<br>0.48 |\n| 0.5 | 66/118<br>0.56 | 46/92<br>0.5 | 92/174<br>0.53 |","| 0.37 | 17/32<br>0.52 | 67/105<br>0.63 | 75/114<br>0.65 |\n| --- | --- | --- | --- |\n| 0.41 | 13/15<br>0.86 | 62/79<br>0.78 | 68/86<br>0.79 |\n| 0.45 | 10/12<br>0.83 | 59/67<br>0.88 | 64/73<br>0.87 |",0]
["| Cluster | Vectorscomponents |  |  |  |\n| --- | --- | --- | --- | --- |\n| c1 | GA | GB | ∼ | ∼ |\n| c2 | GC | GD | ∼ | ∼ |","| c3 | ∼ | ∼ | GE | GF |\n| --- | --- | --- | --- | --- |\n| c4 | ∼ | ∼ | GG | GH |",1]
["| Cluster | Vectorscomponents |  |  |  |\n| --- | --- | --- | --- | --- |\n| c1 | GA | GB | ∼ | ∼ |\n| c2 | GC | GD | ∼ | ∼ |","| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |\n| 3 | 31.8 | 36.2 |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["| Cluster | Vectorscomponents |  |  |  |\n| --- | --- | --- | --- | --- |\n| c1 | GA | GB | ∼ | ∼ |\n| c2 | GC | GD | ∼ | ∼ |","| c3 | ∼ | ∼ | GE | GF |\n| --- | --- | --- | --- | --- |\n| c4 | ∼ | ∼ | GG | GH |",1]
["| Cluster | Vectorscomponents |  |  |  |\n| --- | --- | --- | --- | --- |\n| c1 | GA | GB | ∼ | ∼ |\n| c2 | GC | GD | ∼ | ∼ |","| 5 | 32.3 | 37.2 |\n| --- | --- | --- |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["| Stage | LayerType | Size |\n| --- | --- | --- |\n| ConvolutionStage1 | Conv | 32(5x5) |","| Pooling | 2x2 |  |\n| --- | --- | --- |\n| ConvolutionStage2 | Conv | 256(5x5) |\n| Pooling | 2x2 |  |\n| FullyConnected | ReLU | 256 |\n| FeatureRepresentation | ReLU/Linear | 8 |\n| Output | Softmax | 10 |",1]
["| Stage | LayerType | Size |\n| --- | --- | --- |\n| ConvolutionStage1 | Conv | 32(5x5) |","| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| Stage | LayerType | Size |\n| --- | --- | --- |\n| ConvolutionStage1 | Conv | 32(5x5) |\n| Pooling | 2x2 |  |\n| ConvolutionStage2 | Conv | 256(5x5) |\n| Pooling | 2x2 |  |\n| FullyConnected | ReLU | 256 |","| FeatureRepresentation | ReLU/Linear | 8 |\n| --- | --- | --- |\n| Output | Softmax | 10 |",1]
["| Stage | LayerType | Size |\n| --- | --- | --- |\n| ConvolutionStage1 | Conv | 32(5x5) |\n| Pooling | 2x2 |  |\n| ConvolutionStage2 | Conv | 256(5x5) |\n| Pooling | 2x2 |  |\n| FullyConnected | ReLU | 256 |","| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| --- | --- | --- | --- |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| Network | InputData | Class | Code | Inference |\n| --- | --- | --- | --- | --- |\n| F-pointNet | ImageandLidar | multi | Yes | 170ms |\n| VoxelNet | Lidar | multi | N/A | 30ms |","| AVOD | ImageandLidar | multi | Yes | 80ms |\n| --- | --- | --- | --- | --- |\n| MV3D | ImageandLidar | car | Yes | 350ms |\n| DoBEM | ImageandLidar | car | N/A | 600ms |\n| 3D-SSMFCNN | Image | car | Yes | 100ms |",1]
["| Network | InputData | Class | Code | Inference |\n| --- | --- | --- | --- | --- |\n| F-pointNet | ImageandLidar | multi | Yes | 170ms |\n| VoxelNet | Lidar | multi | N/A | 30ms |","| Newtwork | Accelerator | Inference | Car | Ped. | Cyc. |\n| --- | --- | --- | --- | --- | --- |\n| F-PointNet | GTX1080 | 88ms | 70.39 | 44.89 | 56.77 |\n| VoxelNet(Lidar) | TitanX | 30ms | 65.11 | 33.69 | 48.36 |\n| AVOD | TitanXp | 80ms | 65.78 | 31.51 | 44.90 |\n| MV3D | TitanX | 360ms | 63.35 | N/A | N/A |\n| MV3D(Lidar) | TitanX | 240ms | 52.73 | N/A | N/A |\n| DoBEM | TitanX | 600ms | 6.95 | N/A | N/A |\n| 3D-SSMFCNN | TitanX | 100ms | 2.28 | N/A | N/A |\n| Proposed | GTX1080 | 20ms | 15.24 | 11.46 | 3.23 |",0]
["| Network | InputData | Class | Code | Inference |\n| --- | --- | --- | --- | --- |\n| F-pointNet | ImageandLidar | multi | Yes | 170ms |\n| VoxelNet | Lidar | multi | N/A | 30ms |\n| AVOD | ImageandLidar | multi | Yes | 80ms |\n| MV3D | ImageandLidar | car | Yes | 350ms |","| DoBEM | ImageandLidar | car | N/A | 600ms |\n| --- | --- | --- | --- | --- |\n| 3D-SSMFCNN | Image | car | Yes | 100ms |",1]
["| Network | InputData | Class | Code | Inference |\n| --- | --- | --- | --- | --- |\n| F-pointNet | ImageandLidar | multi | Yes | 170ms |\n| VoxelNet | Lidar | multi | N/A | 30ms |\n| AVOD | ImageandLidar | multi | Yes | 80ms |\n| MV3D | ImageandLidar | car | Yes | 350ms |","| AVOD | TitanXp | 80ms | 65.78 | 31.51 | 44.90 |\n| --- | --- | --- | --- | --- | --- |\n| MV3D | TitanX | 360ms | 63.35 | N/A | N/A |\n| MV3D(Lidar) | TitanX | 240ms | 52.73 | N/A | N/A |\n| DoBEM | TitanX | 600ms | 6.95 | N/A | N/A |\n| 3D-SSMFCNN | TitanX | 100ms | 2.28 | N/A | N/A |\n| Proposed | GTX1080 | 20ms | 15.24 | 11.46 | 3.23 |",0]
["| Feature |\n| --- |\n| personalcount<br>isnotenglish |\n| tagnoun |","| sisnoise<br>sissignal |\n| --- |\n| bigramsnoise |\n| isenglish |\n| commonnoise<br>commonsignal |\n| wordscount<br>ncharacters |",1]
["| Feature |\n| --- |\n| personalcount<br>isnotenglish |\n| tagnoun |","| subset | language | nativelanguage | gender | #segments | #speakers |\n| --- | --- | --- | --- | --- | --- |\n| 1 | english | english | F | 13934 | 774 |\n| 2 | english | english | M | 10379 | 504 |\n| 3 | english | nonenglish | F | 6087 | 784 |\n| 4 | english | nonenglish | M | 9326 | 517 |\n| 5 | nonenglish | all | F | 4576 | 663 |\n| 6 | nonenglish | all | M | 2868 | 413 |\n| additional | — | — | all | 2272 | — |",0]
["| Feature |\n| --- |\n| personalcount<br>isnotenglish |\n| tagnoun |\n| sisnoise<br>sissignal |","| bigramsnoise |\n| --- |\n| isenglish |\n| commonnoise<br>commonsignal |\n| wordscount<br>ncharacters |",1]
["| Feature |\n| --- |\n| personalcount<br>isnotenglish |\n| tagnoun |\n| sisnoise<br>sissignal |","| 4 | english | nonenglish | M | 9326 | 517 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | nonenglish | all | F | 4576 | 663 |\n| 6 | nonenglish | all | M | 2868 | 413 |\n| additional | — | — | all | 2272 | — |",0]
["|  | 8Z2 | 16Z2 | 32Z2 |\n| --- | --- | --- | --- |\n| n=20 | 16 | 0 | 0 |\n| n=40 | 265 | 47 | 15 |","| n=60 | 1375 | 188 | 15 |\n| --- | --- | --- | --- |\n| n=80 | 3985 | 578 | 47 |\n| n=100 | 10078 | 1360 | 125 |",1]
["|  | 8Z2 | 16Z2 | 32Z2 |\n| --- | --- | --- | --- |\n| n=20 | 16 | 0 | 0 |\n| n=40 | 265 | 47 | 15 |","| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |\n| 2.25M | 1383 | 1110 |\n| 4M | 1323 | 2078 |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",0]
["|  | 8Z2 | 16Z2 | 32Z2 |\n| --- | --- | --- | --- |\n| n=20 | 16 | 0 | 0 |\n| n=40 | 265 | 47 | 15 |","| n=60 | 1375 | 188 | 15 |\n| --- | --- | --- | --- |\n| n=80 | 3985 | 578 | 47 |\n| n=100 | 10078 | 1360 | 125 |",1]
["|  | 8Z2 | 16Z2 | 32Z2 |\n| --- | --- | --- | --- |\n| n=20 | 16 | 0 | 0 |\n| n=40 | 265 | 47 | 15 |","| 2.25M | 1383 | 1110 |\n| --- | --- | --- |\n| 4M | 1323 | 2078 |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",0]
["| account | 21.45 |\n| --- | --- |\n| your | 15.00 |\n| click | 14.11 |\n| mailbox | 9.59 |","| cornell | 9.58 |\n| --- | --- |\n| link | 9.37 |\n| verify | 8.83 |\n| customer | 8.63 |\n| access | 8.50 |\n| reserved | 8.03 |\n| dear | 7.85 |\n| log | 7.70 |\n| accounts | 7.61 |\n| paypal | 7.52 |\n| complete | 7.37 |\n| service | 7.15 |\n| protect | 6.95 |\n| secure | 6.94 |\n| mail | 6.70 |\n| clicking | 6.63 |",1]
["| account | 21.45 |\n| --- | --- |\n| your | 15.00 |\n| click | 14.11 |\n| mailbox | 9.59 |","| Name |\n| --- |\n| Apriori(All,Some,DynamicSome) |\n| GSP |\n| PSP |\n| SPADE |\n| SPAM |\n| LAPIN |\n| LAPIN-SPAM |",0]
["| account | 21.45 |\n| --- | --- |\n| your | 15.00 |\n| click | 14.11 |\n| mailbox | 9.59 |\n| cornell | 9.58 |\n| link | 9.37 |\n| verify | 8.83 |","| customer | 8.63 |\n| --- | --- |\n| access | 8.50 |\n| reserved | 8.03 |\n| dear | 7.85 |\n| log | 7.70 |\n| accounts | 7.61 |\n| paypal | 7.52 |\n| complete | 7.37 |\n| service | 7.15 |\n| protect | 6.95 |\n| secure | 6.94 |\n| mail | 6.70 |\n| clicking | 6.63 |",1]
["| account | 21.45 |\n| --- | --- |\n| your | 15.00 |\n| click | 14.11 |\n| mailbox | 9.59 |\n| cornell | 9.58 |\n| link | 9.37 |\n| verify | 8.83 |","| SPAM |\n| --- |\n| LAPIN |\n| LAPIN-SPAM |",0]
["| Workload | CorrelationCoeﬃcients |  |\n| --- | --- | --- |\n| PARSEC | L3cachemiss | 0.899 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-COMM | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-DGEMM | L3cachemiss | 0.988 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-FFT | L3cachemiss | 0.997 |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| HPCC-HPL | L3cachemiss | 0.859 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-PTRANS | L3cachemiss | 0.871 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-RandomAccess | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-Stream | L3cachemiss | 0.995 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECINT | L2cachemiss | 0.767 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECCFP |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",1]
["| Workload | CorrelationCoeﬃcients |  |\n| --- | --- | --- |\n| PARSEC | L3cachemiss | 0.899 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-COMM | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-DGEMM | L3cachemiss | 0.988 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-FFT | L3cachemiss | 0.997 |\n|  |  |  |\n|  |  |  |","| Oceancp | Radix |  |  |  |\n| --- | --- | --- | --- | --- |\n| T=400 | T=1,200 | T=400 | T=1,200 |  |\n| Cores | 2 | 2 | 4 | 4 |\n| Frequency | 3200 | 3200 | 3200 | 3200 |\n| L1-ICacheSize | 8 | 128 | 8 | 128 |\n| L1-DCacheSize | 32 | 128 | 64 | 16 |\n| L2CacheSize | 1024 | 512 | 1024 | 512 |\n| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",0]
["| Workload | CorrelationCoeﬃcients |  |\n| --- | --- | --- |\n| PARSEC | L3cachemiss | 0.899 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-COMM | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-DGEMM | L3cachemiss | 0.988 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-FFT | L3cachemiss | 0.997 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-HPL | L3cachemiss | 0.859 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-PTRANS | L3cachemiss | 0.871 |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |\n| HPCC-RandomAccess | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-Stream | L3cachemiss | 0.995 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECINT | L2cachemiss | 0.767 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECCFP |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",1]
["| Workload | CorrelationCoeﬃcients |  |\n| --- | --- | --- |\n| PARSEC | L3cachemiss | 0.899 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-COMM | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-DGEMM | L3cachemiss | 0.988 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-FFT | L3cachemiss | 0.997 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-HPL | L3cachemiss | 0.859 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-PTRANS | L3cachemiss | 0.871 |\n|  |  |  |","| L2CacheSize | 1024 | 512 | 1024 | 512 |\n| --- | --- | --- | --- | --- |\n| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",0]
["| No | SN | IN | BN | HN |\n| --- | --- | --- | --- | --- |\n| 1 | θ1 | γ1 | β1 | h1 |\n| 2 | θ2 | γ2 | β2 | h2 |","| 3 | θ3 | γ3 | β3 | h3 |\n| --- | --- | --- | --- | --- |\n| ... | ... | ... | ... | ... |\n| n | θn | γj | βn | hj |",1]
["| No | SN | IN | BN | HN |\n| --- | --- | --- | --- | --- |\n| 1 | θ1 | γ1 | β1 | h1 |\n| 2 | θ2 | γ2 | β2 | h2 |","| h | N | SearchLDS | SkipList | JumpSearchLDS |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |  |  |  |\n| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |\n| 50 | 1275 | 0.190 | 0.144 | 0.215 | 0.155 | 0.134 | 0.128 |\n| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",0]
["| No | SN | IN | BN | HN |\n| --- | --- | --- | --- | --- |\n| 1 | θ1 | γ1 | β1 | h1 |","| 2 | θ2 | γ2 | β2 | h2 |\n| --- | --- | --- | --- | --- |\n| 3 | θ3 | γ3 | β3 | h3 |\n| ... | ... | ... | ... | ... |\n| n | θn | γj | βn | hj |",1]
["| No | SN | IN | BN | HN |\n| --- | --- | --- | --- | --- |\n| 1 | θ1 | γ1 | β1 | h1 |","| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",0]
["|  | Valueofpinthep-norm |  |  |  |\n| --- | --- | --- | --- | --- |\n| Committee | 1 | 0.5 | 0.1 | 0.001 |\n| {A,A}12 | 1800 | 1107.11 | 765.63 | 700.62 |\n| {A,B}11 | 1620 | 1095.81 | 808.45 | 750.56 |","| {A,B}12 | 1780 | 1225.51 | 914.08 | 850.62 |\n| --- | --- | --- | --- | --- |\n| {A,B}21 | 2220 | 1445.51 | 1040.44 | 960.77 |\n| {A,B}22 | 2380 | 1475.81 | 1026.70 | 940.83 |\n| {B,B}12 | 2200 | 1307.11 | 880.50 | 800.76 |",1]
["|  | Valueofpinthep-norm |  |  |  |\n| --- | --- | --- | --- | --- |\n| Committee | 1 | 0.5 | 0.1 | 0.001 |\n| {A,A}12 | 1800 | 1107.11 | 765.63 | 700.62 |\n| {A,B}11 | 1620 | 1095.81 | 808.45 | 750.56 |","|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |\n| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |\n| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |\n| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |\n| {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |\n| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |",0]
["|  | Valueofpinthep-norm |  |  |  |\n| --- | --- | --- | --- | --- |\n| Committee | 1 | 0.5 | 0.1 | 0.001 |\n| {A,A}12 | 1800 | 1107.11 | 765.63 | 700.62 |","| {A,B}11 | 1620 | 1095.81 | 808.45 | 750.56 |\n| --- | --- | --- | --- | --- |\n| {A,B}12 | 1780 | 1225.51 | 914.08 | 850.62 |\n| {A,B}21 | 2220 | 1445.51 | 1040.44 | 960.77 |\n| {A,B}22 | 2380 | 1475.81 | 1026.70 | 940.83 |\n| {B,B}12 | 2200 | 1307.11 | 880.50 | 800.76 |",1]
["|  | Valueofpinthep-norm |  |  |  |\n| --- | --- | --- | --- | --- |\n| Committee | 1 | 0.5 | 0.1 | 0.001 |\n| {A,A}12 | 1800 | 1107.11 | 765.63 | 700.62 |","| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |\n| --- | --- | --- | --- | --- | --- | --- |\n| {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |\n| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |",0]
["| GREATvariation | Edgealignmentstrategy | Nodealignmentstrategy |\n| --- | --- | --- |\n| EGG | Greedy | Greedy |\n| EHG | Hungarian | Greedy |","| EGH | Greedy | Hungarian |\n| --- | --- | --- |\n| EHH | Hungarian | Hungarian |\n| EGM | Greedy | MI-GRAAL |\n| EHM | Hungarian | MI-GRAAL |",1]
["| GREATvariation | Edgealignmentstrategy | Nodealignmentstrategy |\n| --- | --- | --- |\n| EGG | Greedy | Greedy |\n| EHG | Hungarian | Greedy |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| GREATvariation | Edgealignmentstrategy | Nodealignmentstrategy |\n| --- | --- | --- |\n| EGG | Greedy | Greedy |\n| EHG | Hungarian | Greedy |\n| EGH | Greedy | Hungarian |\n| EHH | Hungarian | Hungarian |","| EGM | Greedy | MI-GRAAL |\n| --- | --- | --- |\n| EHM | Hungarian | MI-GRAAL |",1]
["| GREATvariation | Edgealignmentstrategy | Nodealignmentstrategy |\n| --- | --- | --- |\n| EGG | Greedy | Greedy |\n| EHG | Hungarian | Greedy |\n| EGH | Greedy | Hungarian |\n| EHH | Hungarian | Hungarian |","| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| #Docs | #Epochs | From |\n| --- | --- | --- |\n| 1071 | 318 | 2003 |\n| 716 | 217 | 2007 |","| 860 | 254 | 2007 |\n| --- | --- | --- |\n| 1031 | 372 | 2010 |\n| 1089 | 232 | 2010 |\n| 1870 | 487 | 2001 |\n| 1246 | 286 | 2011 |\n| 1078 | 266 | 2007 |",1]
["| #Docs | #Epochs | From |\n| --- | --- | --- |\n| 1071 | 318 | 2003 |\n| 716 | 217 | 2007 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 25000 | 10000 |\n| 150000 | 15000 | 20000 | 5000 |\n| 450000 | 100000 | 200000 | 30000 |\n| 180000 | 80000 | 30000 | 15000 |\n| 45000 | 25000 | 50000 | 80000 |\n| 50000 | 5000 | 10000 | 60000 |\n| 200000 | 20000 | 5000 | 70000 |\n| 70000 | 35000 | 40000 | 100000 |",0]
["| #Docs | #Epochs | From |\n| --- | --- | --- |\n| 1071 | 318 | 2003 |\n| 716 | 217 | 2007 |\n| 860 | 254 | 2007 |","| 1031 | 372 | 2010 |\n| --- | --- | --- |\n| 1089 | 232 | 2010 |\n| 1870 | 487 | 2001 |\n| 1246 | 286 | 2011 |\n| 1078 | 266 | 2007 |",1]
["| #Docs | #Epochs | From |\n| --- | --- | --- |\n| 1071 | 318 | 2003 |\n| 716 | 217 | 2007 |\n| 860 | 254 | 2007 |","| 150000 | 15000 | 20000 | 5000 |\n| --- | --- | --- | --- |\n| 450000 | 100000 | 200000 | 30000 |\n| 180000 | 80000 | 30000 | 15000 |\n| 45000 | 25000 | 50000 | 80000 |\n| 50000 | 5000 | 10000 | 60000 |\n| 200000 | 20000 | 5000 | 70000 |\n| 70000 | 35000 | 40000 | 100000 |",0]
["| Operation | Type | Energy(pJ) |\n| --- | --- | --- |\n| 32bitintadd | Computation | 0.1 |\n| 32bitﬂoatadd | Computation | 0.9 |\n| 32bitregisteraccess | Communication | 1.0 |\n| 32bitintmultiply | Computation | 3.1 |","| 32bitﬂoatmultiply | Computation | 3.7 |\n| --- | --- | --- |\n| 32bitSRAMaccess | Communication | 5.0 |\n| 32bitDRAMaccess | Communication | 640 |",1]
["| Operation | Type | Energy(pJ) |\n| --- | --- | --- |\n| 32bitintadd | Computation | 0.1 |\n| 32bitﬂoatadd | Computation | 0.9 |\n| 32bitregisteraccess | Communication | 1.0 |\n| 32bitintmultiply | Computation | 3.1 |","| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |\n| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| Operation | Type | Energy(pJ) |\n| --- | --- | --- |\n| 32bitintadd | Computation | 0.1 |\n| 32bitﬂoatadd | Computation | 0.9 |\n| 32bitregisteraccess | Communication | 1.0 |","| 32bitintmultiply | Computation | 3.1 |\n| --- | --- | --- |\n| 32bitﬂoatmultiply | Computation | 3.7 |\n| 32bitSRAMaccess | Communication | 5.0 |\n| 32bitDRAMaccess | Communication | 640 |",1]
["| Operation | Type | Energy(pJ) |\n| --- | --- | --- |\n| 32bitintadd | Computation | 0.1 |\n| 32bitﬂoatadd | Computation | 0.9 |\n| 32bitregisteraccess | Communication | 1.0 |","| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| --- | --- | --- | --- |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",0]
["| leaning<br>kneeling<br>saluting<br>clinging<br>railing |\n| --- |\n| warning<br>waxing<br>dunking<br>proving<br>tipping |\n| applauding<br>disdaining<br>pickin<br>readjusting<br>reclaiming |","| guaranteeing<br>resting<br>grounding<br>hanging<br>hugging |\n| --- |\n| stood<br>stands<br>unchallenged<br>notwithstanding<br>judging |\n| nudging<br>skirting<br>straddling<br>contesting<br>footing |",1]
["| leaning<br>kneeling<br>saluting<br>clinging<br>railing |\n| --- |\n| warning<br>waxing<br>dunking<br>proving<br>tipping |\n| applauding<br>disdaining<br>pickin<br>readjusting<br>reclaiming |","| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |\n| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |\n| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["| leaning<br>kneeling<br>saluting<br>clinging<br>railing |\n| --- |\n| warning<br>waxing<br>dunking<br>proving<br>tipping |\n| applauding<br>disdaining<br>pickin<br>readjusting<br>reclaiming |","| guaranteeing<br>resting<br>grounding<br>hanging<br>hugging |\n| --- |\n| stood<br>stands<br>unchallenged<br>notwithstanding<br>judging |\n| nudging<br>skirting<br>straddling<br>contesting<br>footing |",1]
["| leaning<br>kneeling<br>saluting<br>clinging<br>railing |\n| --- |\n| warning<br>waxing<br>dunking<br>proving<br>tipping |\n| applauding<br>disdaining<br>pickin<br>readjusting<br>reclaiming |","| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["|  | MDLD | Gaussep | MoWL |\n| --- | --- | --- | --- |\n| Groove | 2.39 | 224.21 | 20.46 |\n| Latino1 | 1.27 | 122.02 | 5.48 |\n| Latino2 | 1.28 | 129.09 | 3.59 |\n| Dev2Male3 | 2.31 | 72.64 | 19.67 |\n| Dev2Female3 | 2.33 | 75.92 | 16.09 |\n| Dev2WDrums | 2.07 | 56.79 | 8.55 |","| Dev1WDrums | 1.55 | 54.06 | 11.88 |\n| --- | --- | --- | --- |\n| Average | 1.88 | 104.96 | 12.24 |\n| Dev3Female3 | 9.56 | 1021.31 | - |\n| Example(3×5) | 4.04 | 1598.7 | - |\n| Example(4×8) | 9.393 | 2359.1 | - |\n| Average | 7.66 | 1659.70 | - |",1]
["|  | MDLD | Gaussep | MoWL |\n| --- | --- | --- | --- |\n| Groove | 2.39 | 224.21 | 20.46 |\n| Latino1 | 1.27 | 122.02 | 5.48 |\n| Latino2 | 1.28 | 129.09 | 3.59 |\n| Dev2Male3 | 2.31 | 72.64 | 19.67 |\n| Dev2Female3 | 2.33 | 75.92 | 16.09 |\n| Dev2WDrums | 2.07 | 56.79 | 8.55 |","|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MoWL | Hyva | MDLD | GaussSep | MoWL | Hyva |\n| Latino1 | 6.38 | 5.51 | 5.72 | 0.89 | 18.63 | 8.96 | 18.59 | 9.61 |\n| Latino2 | 3.21 | 4.71 | 2.10 | 0.89 | 11.50 | 8.87 | 11.28 | 9.61 |\n| Groove | 0.22 | 0.39 | -0.43 | -0.08 | 9.48 | 3.62 | 9.60 | 8.88 |\n| Dev2Male3 | 3.04 | 6.22 | 2.11 | -3.10 | 13.69 | 12.14 | 13.30 | 4.73 |\n| Dev2Female3 | 4.68 | 5.70 | 3.86 | -1.85 | 15.28 | 11.45 | 16.58 | 5.02 |\n| Dev2WDrums | 9.59 | 16.57 | 10.16 | 0.63 | 19.77 | 23.83 | 19.98 | 7.57 |\n| Dev1WDrums | 4.96 | 16.54 | 3.81 | 6.86 | 13.88 | 20.94 | 12.38 | 16.75 |\n| Average | 4.58 | 7.96 | 3.91 | 0.6 | 14.61 | 12.83 | 13.82 | 8.88 |",0]
["|  | MDLD | Gaussep | MoWL |\n| --- | --- | --- | --- |\n| Groove | 2.39 | 224.21 | 20.46 |\n| Latino1 | 1.27 | 122.02 | 5.48 |\n| Latino2 | 1.28 | 129.09 | 3.59 |\n| Dev2Male3 | 2.31 | 72.64 | 19.67 |\n| Dev2Female3 | 2.33 | 75.92 | 16.09 |\n| Dev2WDrums | 2.07 | 56.79 | 8.55 |\n| Dev1WDrums | 1.55 | 54.06 | 11.88 |","| Average | 1.88 | 104.96 | 12.24 |\n| --- | --- | --- | --- |\n| Dev3Female3 | 9.56 | 1021.31 | - |\n| Example(3×5) | 4.04 | 1598.7 | - |\n| Example(4×8) | 9.393 | 2359.1 | - |\n| Average | 7.66 | 1659.70 | - |",1]
["|  | MDLD | Gaussep | MoWL |\n| --- | --- | --- | --- |\n| Groove | 2.39 | 224.21 | 20.46 |\n| Latino1 | 1.27 | 122.02 | 5.48 |\n| Latino2 | 1.28 | 129.09 | 3.59 |\n| Dev2Male3 | 2.31 | 72.64 | 19.67 |\n| Dev2Female3 | 2.33 | 75.92 | 16.09 |\n| Dev2WDrums | 2.07 | 56.79 | 8.55 |\n| Dev1WDrums | 1.55 | 54.06 | 11.88 |","| Dev1WDrums | 4.96 | 16.54 | 3.81 | 6.86 | 13.88 | 20.94 | 12.38 | 16.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Average | 4.58 | 7.96 | 3.91 | 0.6 | 14.61 | 12.83 | 13.82 | 8.88 |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",0]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.86 | 0.89 |\n| 128×128,22 | 0.95 | 0.94 |\n| 64×64,32 | 0.97 | 0.90 |","| 128×128,32 | 0.99 | 0.95 |\n| --- | --- | --- |\n| 64×64,42 | 0.79 | 0.90 |\n| 128×128,42 | 0.89 | 0.94 |\n| Average | 0.91 | 0.92 |",1]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.86 | 0.89 |\n| 128×128,22 | 0.95 | 0.94 |\n| 64×64,32 | 0.97 | 0.90 |","| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.79 | 0.78 |\n| 128×128,22 | 0.91 | 0.90 |\n| 64×64,32 | 0.96 | 0.80 |\n| 128×128,32 | 0.99 | 0.89 |\n| 64×64,42 | 0.61 | 0.75 |\n| 128×128,42 | 0.84 | 0.89 |\n| Average | 0.85 | 0.84 |",0]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.86 | 0.89 |\n| 128×128,22 | 0.95 | 0.94 |\n| 64×64,32 | 0.97 | 0.90 |","| 128×128,32 | 0.99 | 0.95 |\n| --- | --- | --- |\n| 64×64,42 | 0.79 | 0.90 |\n| 128×128,42 | 0.89 | 0.94 |\n| Average | 0.91 | 0.92 |",1]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.86 | 0.89 |\n| 128×128,22 | 0.95 | 0.94 |\n| 64×64,32 | 0.97 | 0.90 |","| 128×128,42 | 0.84 | 0.89 |\n| --- | --- | --- |\n| Average | 0.85 | 0.84 |",0]
["| Words | Similarity |\n| --- | --- |\n| gem-jewel | 0.908008550956 |\n| gem-stone | 0.180732071642 |\n| gem-used | 0.0 |\n| gem-decorate | 0.0 |\n| gem-valuable | 0.0 |\n| gem-things | 0.284462910289 |\n| gem-wear | 0.0 |\n| gem-rings | 0.485032351325 |\n| gem-necklaces | 0.669319889871 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.217431543606 |\n| jewel-used | 0.0 |\n| jewel-decorate | 0.0 |","| jewel-valuable | 0.0 |\n| --- | --- |\n| jewel-things | 0.406309448212 |\n| jewel-wear | 0.0 |\n| jewel-rings | 0.456849659596 |\n| jewel-necklaces | 0.41718607131 |\n| stone-jewel | 0.475813717007 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-decorate | 0.0 |\n| stone-valuable | 0.0 |\n| stone-things | 0.198770510639 |\n| stone-wear | 0.0 |\n| stone-rings | 0.100270000776 |\n| stone-necklaces | 0.0856785820827 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-decorate | 0.0 |\n| used-valuable | 0.0 |\n| used-things | 0.0 |\n| used-wear | 0.0 |\n| used-rings | 0.0 |\n| used-necklaces | 0.0 |\n| jewellery-jewel | 0.509332774797 |\n| jewellery-stone | 0.220266070205 |\n| jewellery-used | 0.0 |\n| jewellery-decorate | 0.0 |\n| jewellery-valuable | 0.0 |\n| jewellery-things | 0.346687374295 |\n| jewellery-wear | 0.0 |\n| jewellery-rings | 0.592019999822 |\n| jewellery-<br>necklaces | 0.81750915958 |",1]
["| Words | Similarity |\n| --- | --- |\n| gem-jewel | 0.908008550956 |\n| gem-stone | 0.180732071642 |\n| gem-used | 0.0 |\n| gem-decorate | 0.0 |\n| gem-valuable | 0.0 |\n| gem-things | 0.284462910289 |\n| gem-wear | 0.0 |\n| gem-rings | 0.485032351325 |\n| gem-necklaces | 0.669319889871 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.217431543606 |\n| jewel-used | 0.0 |\n| jewel-decorate | 0.0 |","| Words | Similarity |\n| --- | --- |\n| jewel-gem | 0.908008550956 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.475813717007 |\n| jewel-used | 0.0 |\n| jewel-jewellery | 0.509332774797 |\n| stone-gem | 0.180732071642 |\n| stone-jewel | 0.217431543606 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-jewellery | 0.220266070205 |\n| used-gem | 0.0 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-jewellery | 0.0 |\n| decorate-gem | 0.0 |\n| decorate-jewel | 0.0 |\n| decorate-stone | 0.0 |\n| decorate-used | 0.0 |\n| decorate-jewellery | 0.0 |\n| valuable-gem | 0.0 |\n| valuable-jewel | 0.0 |\n| valuable-stone | 0.0 |\n| valuable-used | 0.0 |\n| valuable-jewellery | 0.0 |\n| things-gem | 0.284462910289 |\n| things-jewel | 0.406309448212 |\n| things-stone | 0.198770510639 |\n| things-used | 0.0 |\n| things-jewellery | 0.346687374295 |\n| wear-gem | 0.0 |\n| wear-jewel | 0.0 |\n| wear-stone | 0.0 |\n| wear-used | 0.0 |\n| wear-jewellery | 0.0 |\n| rings-gem | 0.485032351325 |\n| rings-jewel | 0.456849659596 |\n| rings-stone | 0.100270000776 |\n| rings-used | 0.0 |\n| rings-jewellery | 0.592019999822 |\n| necklaces-gem | 0.669319889871 |\n| necklaces-jewel | 0.41718607131 |\n| necklaces-stone | 0.0856785820827 |\n| necklaces-used | 0.0 |\n| necklaces-<br>jewellery | 0.81750915958 |",0]
["| Words | Similarity |\n| --- | --- |\n| gem-jewel | 0.908008550956 |\n| gem-stone | 0.180732071642 |\n| gem-used | 0.0 |\n| gem-decorate | 0.0 |\n| gem-valuable | 0.0 |\n| gem-things | 0.284462910289 |\n| gem-wear | 0.0 |\n| gem-rings | 0.485032351325 |\n| gem-necklaces | 0.669319889871 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.217431543606 |\n| jewel-used | 0.0 |\n| jewel-decorate | 0.0 |\n| jewel-valuable | 0.0 |\n| jewel-things | 0.406309448212 |\n| jewel-wear | 0.0 |\n| jewel-rings | 0.456849659596 |\n| jewel-necklaces | 0.41718607131 |\n| stone-jewel | 0.475813717007 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-decorate | 0.0 |\n| stone-valuable | 0.0 |\n| stone-things | 0.198770510639 |\n| stone-wear | 0.0 |\n| stone-rings | 0.100270000776 |\n| stone-necklaces | 0.0856785820827 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-decorate | 0.0 |","| used-valuable | 0.0 |\n| --- | --- |\n| used-things | 0.0 |\n| used-wear | 0.0 |\n| used-rings | 0.0 |\n| used-necklaces | 0.0 |\n| jewellery-jewel | 0.509332774797 |\n| jewellery-stone | 0.220266070205 |\n| jewellery-used | 0.0 |\n| jewellery-decorate | 0.0 |\n| jewellery-valuable | 0.0 |\n| jewellery-things | 0.346687374295 |\n| jewellery-wear | 0.0 |\n| jewellery-rings | 0.592019999822 |\n| jewellery-<br>necklaces | 0.81750915958 |",1]
["| Words | Similarity |\n| --- | --- |\n| gem-jewel | 0.908008550956 |\n| gem-stone | 0.180732071642 |\n| gem-used | 0.0 |\n| gem-decorate | 0.0 |\n| gem-valuable | 0.0 |\n| gem-things | 0.284462910289 |\n| gem-wear | 0.0 |\n| gem-rings | 0.485032351325 |\n| gem-necklaces | 0.669319889871 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.217431543606 |\n| jewel-used | 0.0 |\n| jewel-decorate | 0.0 |\n| jewel-valuable | 0.0 |\n| jewel-things | 0.406309448212 |\n| jewel-wear | 0.0 |\n| jewel-rings | 0.456849659596 |\n| jewel-necklaces | 0.41718607131 |\n| stone-jewel | 0.475813717007 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-decorate | 0.0 |\n| stone-valuable | 0.0 |\n| stone-things | 0.198770510639 |\n| stone-wear | 0.0 |\n| stone-rings | 0.100270000776 |\n| stone-necklaces | 0.0856785820827 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-decorate | 0.0 |","| valuable-jewel | 0.0 |\n| --- | --- |\n| valuable-stone | 0.0 |\n| valuable-used | 0.0 |\n| valuable-jewellery | 0.0 |\n| things-gem | 0.284462910289 |\n| things-jewel | 0.406309448212 |\n| things-stone | 0.198770510639 |\n| things-used | 0.0 |\n| things-jewellery | 0.346687374295 |\n| wear-gem | 0.0 |\n| wear-jewel | 0.0 |\n| wear-stone | 0.0 |\n| wear-used | 0.0 |\n| wear-jewellery | 0.0 |\n| rings-gem | 0.485032351325 |\n| rings-jewel | 0.456849659596 |\n| rings-stone | 0.100270000776 |\n| rings-used | 0.0 |\n| rings-jewellery | 0.592019999822 |\n| necklaces-gem | 0.669319889871 |\n| necklaces-jewel | 0.41718607131 |\n| necklaces-stone | 0.0856785820827 |\n| necklaces-used | 0.0 |\n| necklaces-<br>jewellery | 0.81750915958 |",0]
["| ClosureOption | DynamicPrograming | DQN |\n| --- | --- | --- |\n| Never | 3254.6 | 3270.66 |","| p=0.2closure | 3307.9 | 3316.76 |\n| --- | --- | --- |\n| Always | 3358.3 | 3357.01 |\n| 5-periodic | 3319.7 | 3335.75 |",1]
["| ClosureOption | DynamicPrograming | DQN |\n| --- | --- | --- |\n| Never | 3254.6 | 3270.66 |","| Parameter | Val. | Parameter |\n| --- | --- | --- |\n| COLDN:Numberoftransactions(coldrun) | 0 | HOTN:Numberoftransactions(warmrun) |\n| PSET:Set-orientedaccessoccurrenceprobability | 0.25 | SETDEPTH:Set-orientedaccessdepth |\n| PSIMPLE:Simpletraversaloccurrenceprobability | 0.25 | SIMDEPTH:Simpletraversalaccessdepth |\n| PHIER:Hierarchytraversaloccurrenceprobability | 0.25 | HIEDEPTH:Hierarchytraversalaccessdepth |\n| PSTOCH:Stochastictraversaloccurrenceprobability | 0.25 | STODEPTH:Stochastictraversalaccessdepth |",0]
["| ClosureOption | DynamicPrograming | DQN |\n| --- | --- | --- |\n| Never | 3254.6 | 3270.66 |\n| p=0.2closure | 3307.9 | 3316.76 |","| Always | 3358.3 | 3357.01 |\n| --- | --- | --- |\n| 5-periodic | 3319.7 | 3335.75 |",1]
["| ClosureOption | DynamicPrograming | DQN |\n| --- | --- | --- |\n| Never | 3254.6 | 3270.66 |\n| p=0.2closure | 3307.9 | 3316.76 |","| PSIMPLE:Simpletraversaloccurrenceprobability | 0.25 | SIMDEPTH:Simpletraversalaccessdepth |\n| --- | --- | --- |\n| PHIER:Hierarchytraversaloccurrenceprobability | 0.25 | HIEDEPTH:Hierarchytraversalaccessdepth |\n| PSTOCH:Stochastictraversaloccurrenceprobability | 0.25 | STODEPTH:Stochastictraversalaccessdepth |",0]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |","| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",1]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |","| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.588E-04<br>1.012E-04<br>3.772E-05<br>1.391E-05 | 1.928E-04<br>1.180E-04<br>3.790E-05<br>2.454E-05 | 2.545E-04<br>1.834E-04<br>5.061E-05<br>3.296E-05 | 1.372E-02<br>1.040E-02<br>6.994E-03<br>5.620E-03 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 1.479E-05<br>8.580E-06<br>4.042E-06<br>2.018E-06 | 1.444E-05<br>5.818E-06<br>2.019E-06<br>1.123E-06 | 3.101E-06<br>1.293E-06<br>1.433E-06<br>5.923E-07 | 1.303E-01<br>8.692E-02<br>6.142E-02<br>4.618E-02 |",0]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |","| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",1]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |","| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.588E-04<br>1.012E-04<br>3.772E-05<br>1.391E-05 | 1.928E-04<br>1.180E-04<br>3.790E-05<br>2.454E-05 | 2.545E-04<br>1.834E-04<br>5.061E-05<br>3.296E-05 | 1.372E-02<br>1.040E-02<br>6.994E-03<br>5.620E-03 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 1.479E-05<br>8.580E-06<br>4.042E-06<br>2.018E-06 | 1.444E-05<br>5.818E-06<br>2.019E-06<br>1.123E-06 | 3.101E-06<br>1.293E-06<br>1.433E-06<br>5.923E-07 | 1.303E-01<br>8.692E-02<br>6.142E-02<br>4.618E-02 |",0]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.520.563.08 | 5.41 |\n| MM-λ-p-CPHDD | 2.640.633.27 | 5.48 |\n| MM-CPHD | 2.391.123.51 | 5.50 |","| MM-PHD | 2.711.304.01 | 6.55 |\n| --- | --- | --- |\n| IMM-JPDA | 1.542.684.22 | 5.72 |\n| MHT | 1.712.233.94 | 5.67 |\n| P-Tracker | 1.332.704.03 | 6.50 |\n| U-Tracker | 1.851.433.28 | 5.04 |",1]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.520.563.08 | 5.41 |\n| MM-λ-p-CPHDD | 2.640.633.27 | 5.48 |\n| MM-CPHD | 2.391.123.51 | 5.50 |","| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.710.683.39 | 5.39 |\n| MM-λ-p-CPHDD | 2.780.823.60 | 5.97 |\n| MM-CPHD | 2.840.793.63 | 5.61 |\n| MM-PHD | 2.901.083.98 | 6.01 |\n| IMM-JPDA | 1.371.673.04 | 4.21 |\n| MHT | 0.813.073.88 | 5.48 |\n| P-Tracker | 0.852.553.40 | 5.20 |\n| U-Tracker | 0.643.364.00 | 4.93 |",0]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.520.563.08 | 5.41 |\n| MM-λ-p-CPHDD | 2.640.633.27 | 5.48 |\n| MM-CPHD | 2.391.123.51 | 5.50 |\n| MM-PHD | 2.711.304.01 | 6.55 |","| IMM-JPDA | 1.542.684.22 | 5.72 |\n| --- | --- | --- |\n| MHT | 1.712.233.94 | 5.67 |\n| P-Tracker | 1.332.704.03 | 6.50 |\n| U-Tracker | 1.851.433.28 | 5.04 |",1]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.520.563.08 | 5.41 |\n| MM-λ-p-CPHDD | 2.640.633.27 | 5.48 |\n| MM-CPHD | 2.391.123.51 | 5.50 |\n| MM-PHD | 2.711.304.01 | 6.55 |","| MM-PHD | 2.901.083.98 | 6.01 |\n| --- | --- | --- |\n| IMM-JPDA | 1.371.673.04 | 4.21 |\n| MHT | 0.813.073.88 | 5.48 |\n| P-Tracker | 0.852.553.40 | 5.20 |\n| U-Tracker | 0.643.364.00 | 4.93 |",0]
["|  | 1HiddenLayer | 2HiddenLayers |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenUnits | Valence | Arousal | Valence | Arousal |\n| 100 | 0.44 | 0.36 | 0.50 | 0.41 |","| 128 | 0.53 | 0.40 | 0.57 | 0.43 |\n| --- | --- | --- | --- | --- |\n| 150 | 0.46 | 0.39 | 0.51 | 0.41 |",1]
["|  | 1HiddenLayer | 2HiddenLayers |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenUnits | Valence | Arousal | Valence | Arousal |\n| 100 | 0.44 | 0.36 | 0.50 | 0.41 |","| Layer | No.ofneurons | Activationfunction |\n| --- | --- | --- |\n| Inputlayer | 784 | - |\n| Hiddenlayer1 | 500 | ReLu |\n| Hiddenlayer2 | 500 | ReLu |\n| Hiddenlayer3 | 500 | ReLu |\n| Hiddenlayer4 | n | targetfunction |\n| Outputlayer | 10 | Softmax |",0]
["|  | 1HiddenLayer | 2HiddenLayers |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenUnits | Valence | Arousal | Valence | Arousal |\n| 100 | 0.44 | 0.36 | 0.50 | 0.41 |","| 128 | 0.53 | 0.40 | 0.57 | 0.43 |\n| --- | --- | --- | --- | --- |\n| 150 | 0.46 | 0.39 | 0.51 | 0.41 |",1]
["|  | 1HiddenLayer | 2HiddenLayers |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenUnits | Valence | Arousal | Valence | Arousal |\n| 100 | 0.44 | 0.36 | 0.50 | 0.41 |","| Hiddenlayer1 | 500 | ReLu |\n| --- | --- | --- |\n| Hiddenlayer2 | 500 | ReLu |\n| Hiddenlayer3 | 500 | ReLu |\n| Hiddenlayer4 | n | targetfunction |\n| Outputlayer | 10 | Softmax |",0]
["| Management |\n| --- |\n| ProbeRequest |\n| ProbeResponse |","| Beacon |\n| --- |\n| Authentication |\n| Deauthentication |\n| ATIM |",1]
["| Management |\n| --- |\n| ProbeRequest |\n| ProbeResponse |","| AC | AuthenticatedModule |\n| --- | --- |\n| AIK | AttestationIdentityKey |\n| CA | CertiﬁcateAuthority |\n| DRTM | DynamicRootofTrustforMeasurement |\n| MITM | Man-in-the-Middle |\n| MLE | MeasuredLaunchEnvironment |\n| PAL | ProgramApplicationLogic |\n| PCR | PlatformConﬁgurationRegister |\n| SKINIT | SecureKernelInit |\n| SLB | SecureLoaderBlock |\n| SML | StoredMeasurementLog |\n| SRK | StorageRootKey |\n| TCB | TrustedComputingBase |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",0]
["| Management |\n| --- |\n| ProbeRequest |\n| ProbeResponse |","| Beacon |\n| --- |\n| Authentication |\n| Deauthentication |\n| ATIM |",1]
["| Management |\n| --- |\n| ProbeRequest |\n| ProbeResponse |","| TCB | TrustedComputingBase |\n| --- | --- |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",0]
["| Metric(avg.) | NAMIC |\n| --- | --- |\n|  |  |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PSNR | 24.98 | 27.22 | 29.83 | 27.13 | 28.95 | 32.03 |\n| SSIM | 0.8821 | 0.8981 | 0.9013 | 0.9198 | 0.9273 | 0.9301 |",1]
["| Metric(avg.) | NAMIC |\n| --- | --- |\n|  |  |","| Metric(avg.) | NAMIC |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n| PSNR(dB) | 24.36 | 26.51 | 27.14 | 27.30 | 27.26 | 27.81 | 29.04 | 30.35 |\n| SSIM | 0.8771 | 0.8874 | 0.8934 | 0.8983 | 0.9166 | 0.9130 | 0.9173 | 0.9270 |",0]
["| Metric(avg.) | NAMIC |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","| PSNR | 24.98 | 27.22 | 29.83 | 27.13 | 28.95 | 32.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | 0.8821 | 0.8981 | 0.9013 | 0.9198 | 0.9273 | 0.9301 |",1]
["| Metric(avg.) | NAMIC |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR(dB) | 24.36 | 26.51 | 27.14 | 27.30 | 27.26 | 27.81 | 29.04 | 30.35 |\n| SSIM | 0.8771 | 0.8874 | 0.8934 | 0.8983 | 0.9166 | 0.9130 | 0.9173 | 0.9270 |",0]
["| Settings | m=2 | m=3 | m=4 |\n| --- | --- | --- | --- |\n| d=48,s=12 | 32.87(8832) | 32.88(10128) | 33.08(11424) |\n| d=56,s=12 | 33.00(9872) | 32.97(11168) | 33.16(12464) |","| d=48,s=16 | 32.95(11232) | 33.10(13536) | 33.18(15840) |\n| --- | --- | --- | --- |\n| d=56,s=16 | 33.01(12336) | 33.12(14640) | 33.17(16944) |",1]
["| Settings | m=2 | m=3 | m=4 |\n| --- | --- | --- | --- |\n| d=48,s=12 | 32.87(8832) | 32.88(10128) | 33.08(11424) |\n| d=56,s=12 | 33.00(9872) | 32.97(11168) | 33.16(12464) |","|  | C-S-F | H-S-F | H-S-T | T-S-T | T-E-F | T-S-F |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | .59 | .52 | .53 | .25 | .38 | .33 |\n| 2 | .61 | .63 | .60 | .33 | .32 | .26 |\n| 3 | .61 | .50 | .54 | .44 | .29 | .24 |\n| 4 | .59 | .60 | .56 | .33 | .28 | .24 |\n| 5 | .55 | .55 | .50 | .34 | .27 | .26 |",0]
["| Settings | m=2 | m=3 | m=4 |\n| --- | --- | --- | --- |\n| d=48,s=12 | 32.87(8832) | 32.88(10128) | 33.08(11424) |\n| d=56,s=12 | 33.00(9872) | 32.97(11168) | 33.16(12464) |","| d=48,s=16 | 32.95(11232) | 33.10(13536) | 33.18(15840) |\n| --- | --- | --- | --- |\n| d=56,s=16 | 33.01(12336) | 33.12(14640) | 33.17(16944) |",1]
["| Settings | m=2 | m=3 | m=4 |\n| --- | --- | --- | --- |\n| d=48,s=12 | 32.87(8832) | 32.88(10128) | 33.08(11424) |\n| d=56,s=12 | 33.00(9872) | 32.97(11168) | 33.16(12464) |","| 4 | .59 | .60 | .56 | .33 | .28 | .24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5 | .55 | .55 | .50 | .34 | .27 | .26 |",0]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 64.18 | 60.67 |","| Direct(§??) | 59.74 | 55.98 |\n| --- | --- | --- |\n| MonteCarlo(§??) | 62.97 | 59.08 |\n| Marginalization(§??) | 58.62 | 55.06 |\n| GSInterpolation(§??) | 59.19 | 55.73 |",1]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 64.18 | 60.67 |","| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 47.64 | 48.62 |\n| Multi-Token(L=1) | 45.69 | 47.21 |\n| Multi-Token(L=2) | 44.15 | 46.12 |\n| Multi-Token(L=3) | 45.19 | 46.84 |\n| Multi-Emb(E=2) | 44.80 | 46.32 |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",0]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 64.18 | 60.67 |\n| Direct(§??) | 59.74 | 55.98 |","| MonteCarlo(§??) | 62.97 | 59.08 |\n| --- | --- | --- |\n| Marginalization(§??) | 58.62 | 55.06 |\n| GSInterpolation(§??) | 59.19 | 55.73 |",1]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 64.18 | 60.67 |\n| Direct(§??) | 59.74 | 55.98 |","| Multi-Emb(E=2) | 44.80 | 46.32 |\n| --- | --- | --- |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",0]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| optimizedon | comp-g | soap | docu-i |","| comp-g-dev | 26.3 | 76.4 | 34.7 |\n| --- | --- | --- | --- |\n| soap-dev | 27.9 | 75.2 | 36.7 |\n| docu-i-dev | 27.1 | 74.5 | 36.3 |",1]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| optimizedon | comp-g | soap | docu-i |","| testset |  |  |  |\n| --- | --- | --- | --- |\n| model | comp-g | soap | docu-i |\n| Mediargus | 28.2 | 79.7 | 38.1 |\n| CGN | 35.1 | 76.8 | 42.8 |\n| VRTall | 30.8 | 75.0 | 39.1 |",0]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| optimizedon | comp-g | soap | docu-i |\n| comp-g-dev | 26.3 | 76.4 | 34.7 |","| soap-dev | 27.9 | 75.2 | 36.7 |\n| --- | --- | --- | --- |\n| docu-i-dev | 27.1 | 74.5 | 36.3 |",1]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| optimizedon | comp-g | soap | docu-i |\n| comp-g-dev | 26.3 | 76.4 | 34.7 |","| Mediargus | 28.2 | 79.7 | 38.1 |\n| --- | --- | --- | --- |\n| CGN | 35.1 | 76.8 | 42.8 |\n| VRTall | 30.8 | 75.0 | 39.1 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.77 | 0.70 | 0.74 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |","| Yinetal. | 0.81 | 0.63 | 0.71 |\n| --- | --- | --- | --- |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.77 | 0.70 | 0.74 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |","| Algorithm | Precision | Recall | F-measure | Timecost |\n| --- | --- | --- | --- | --- |\n| Proposed | 0.83 | 0.67 | 0.74 | 2.1s |\n| Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |\n| Kangetal. | 0.71 | 0.62 | 0.66 | - |\n| Yinetal. | 0.71 | 0.61 | 0.65 | 0.8s |\n| Yaoetal. | 0.63 | 0.63 | 0.60 | 7.2s |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.77 | 0.70 | 0.74 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |","| Kangetal. | 0.71 | 0.62 | 0.66 |\n| --- | --- | --- | --- |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.77 | 0.70 | 0.74 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |","| Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |\n| --- | --- | --- | --- | --- |\n| Kangetal. | 0.71 | 0.62 | 0.66 | - |\n| Yinetal. | 0.71 | 0.61 | 0.65 | 0.8s |\n| Yaoetal. | 0.63 | 0.63 | 0.60 | 7.2s |",0]
["| K1 | k2 | k3 | k4 |\n| --- | --- | --- | --- |\n| 0.6 | 1.2 | 0.1 | 0.001 |\n| 0.864 | 0.981 | 0.005 | 0.016 |\n| 0.108 | 0.735 | 0.016 | 0.013 |\n| 0.263 | 0.299 | 0 | 0 |\n| 1.207 | 1.909 | 0.008 | 0.014 |\n| 0.648 | 1.64 | 0.027 | 0.016 |","| 0.047 | 0.325 | 0.084 | 0 |\n| --- | --- | --- | --- |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",1]
["| K1 | k2 | k3 | k4 |\n| --- | --- | --- | --- |\n| 0.6 | 1.2 | 0.1 | 0.001 |\n| 0.864 | 0.981 | 0.005 | 0.016 |\n| 0.108 | 0.735 | 0.016 | 0.013 |\n| 0.263 | 0.299 | 0 | 0 |\n| 1.207 | 1.909 | 0.008 | 0.014 |\n| 0.648 | 1.64 | 0.027 | 0.016 |","| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| K1 | k2 | k3 | k4 |\n| --- | --- | --- | --- |\n| 0.6 | 1.2 | 0.1 | 0.001 |\n| 0.864 | 0.981 | 0.005 | 0.016 |\n| 0.108 | 0.735 | 0.016 | 0.013 |\n| 0.263 | 0.299 | 0 | 0 |","| 1.207 | 1.909 | 0.008 | 0.014 |\n| --- | --- | --- | --- |\n| 0.648 | 1.64 | 0.027 | 0.016 |\n| 0.047 | 0.325 | 0.084 | 0 |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",1]
["| K1 | k2 | k3 | k4 |\n| --- | --- | --- | --- |\n| 0.6 | 1.2 | 0.1 | 0.001 |\n| 0.864 | 0.981 | 0.005 | 0.016 |\n| 0.108 | 0.735 | 0.016 | 0.013 |\n| 0.263 | 0.299 | 0 | 0 |","| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| ADSM<br>ADSTARDistributedStorageManagersystem |\n| --- |\n| AliEn<br>avirtualAliEnSEforLFN→LFNsymb.links |\n| Castor<br>CERNMassStorageSystem |\n| DB<br>DatabaseStorageSystem |\n| DMF<br>DataMigrationFacilitysystem |\n| EDG<br>EuropeanDataGridSEinterface |\n| File<br>SEforﬁleaccessinlocallymountedﬁlesystems |\n| HPSS<br>HighPerformanceStorageSystemusingRFIOaccess |","| HSI<br>HighPerformanceStorageSystemunsingHSIaccess |\n| --- |\n| HTTP<br>webserverstorageelement |\n| SOAP<br>SOAPserverstorageelement |",1]
["| ADSM<br>ADSTARDistributedStorageManagersystem |\n| --- |\n| AliEn<br>avirtualAliEnSEforLFN→LFNsymb.links |\n| Castor<br>CERNMassStorageSystem |\n| DB<br>DatabaseStorageSystem |\n| DMF<br>DataMigrationFacilitysystem |\n| EDG<br>EuropeanDataGridSEinterface |\n| File<br>SEforﬁleaccessinlocallymountedﬁlesystems |\n| HPSS<br>HighPerformanceStorageSystemusingRFIOaccess |","| SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |\n| --- | --- | --- | --- |\n| Baseline | 0.102⇓ | 0.041⇓ | 0.130 |\n| w/oIllustration | 0.107⇓ | 0.022⇓ | 0.112⇓ |\n| w/oContingency | 0.093⇓ | 0.025⇓ | 0.102⇓ |\n| w/oComparison | 0.103⇓ | 0.033⇓ | 0.113⇓ |\n| w/oAttributive | 0.113⇓ | 0.050 | 0.124 |\n| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |\n| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| withallRelations | 0.125 | .053 | 0.138 |",0]
["| ADSM<br>ADSTARDistributedStorageManagersystem |\n| --- |\n| AliEn<br>avirtualAliEnSEforLFN→LFNsymb.links |\n| Castor<br>CERNMassStorageSystem |","| DB<br>DatabaseStorageSystem |\n| --- |\n| DMF<br>DataMigrationFacilitysystem |\n| EDG<br>EuropeanDataGridSEinterface |\n| File<br>SEforﬁleaccessinlocallymountedﬁlesystems |\n| HPSS<br>HighPerformanceStorageSystemusingRFIOaccess |\n| HSI<br>HighPerformanceStorageSystemunsingHSIaccess |\n| HTTP<br>webserverstorageelement |\n| SOAP<br>SOAPserverstorageelement |",1]
["| ADSM<br>ADSTARDistributedStorageManagersystem |\n| --- |\n| AliEn<br>avirtualAliEnSEforLFN→LFNsymb.links |\n| Castor<br>CERNMassStorageSystem |","| w/oAttributive | 0.113⇓ | 0.050 | 0.124 |\n| --- | --- | --- | --- |\n| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |\n| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| withallRelations | 0.125 | .053 | 0.138 |",0]
["| Model | NJU2000-TE | NLPR-TE |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| MNet | 0.7610 | 0.0757 | 0.8193 | 0.0874 |\n| PNet | 0.8397 | 0.0800 | 0.7901 | 0.0551 |\n| DNetα=1 | 0.8424 | 0.0728 | 0.8203 | 0.0630 |\n| PDNetα=1 | 0.8503 | 0.0689 | 0.8478 | 0.0491 |","| PDNetα<1 | 0.8471 | 0.0694 | 0.8409 | 0.0494 |\n| --- | --- | --- | --- | --- |\n| PDNetα>1 | 0.8458 | 0.0698 | 0.8284 | 0.0548 |",1]
["| Model | NJU2000-TE | NLPR-TE |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| MNet | 0.7610 | 0.0757 | 0.8193 | 0.0874 |\n| PNet | 0.8397 | 0.0800 | 0.7901 | 0.0551 |\n| DNetα=1 | 0.8424 | 0.0728 | 0.8203 | 0.0630 |\n| PDNetα=1 | 0.8503 | 0.0689 | 0.8478 | 0.0491 |","| Models | IOU | Params | GFLOPs |\n| --- | --- | --- | --- |\n| ERFNet | 70.45 | 2038448 | 27.705 |\n| D* | 68.55 | 547120 | 10.597 |\n| DG2* | 65.35 | 395568 | 8.852 |\n| DG4* | 61.42 | 319792 | 7.980 |\n| DG8* | 59.15 | 281904 | 7.543 |\n| DG2S* | 65.36 | 395568 | 8.852 |\n| DG4S* | 61.27 | 319792 | 7.980 |\n| DG8S* | 59.89 | 281904 | 7.543 |",0]
["| Model | NJU2000-TE | NLPR-TE |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| MNet | 0.7610 | 0.0757 | 0.8193 | 0.0874 |\n| PNet | 0.8397 | 0.0800 | 0.7901 | 0.0551 |\n| DNetα=1 | 0.8424 | 0.0728 | 0.8203 | 0.0630 |","| PDNetα=1 | 0.8503 | 0.0689 | 0.8478 | 0.0491 |\n| --- | --- | --- | --- | --- |\n| PDNetα<1 | 0.8471 | 0.0694 | 0.8409 | 0.0494 |\n| PDNetα>1 | 0.8458 | 0.0698 | 0.8284 | 0.0548 |",1]
["| Model | NJU2000-TE | NLPR-TE |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| MNet | 0.7610 | 0.0757 | 0.8193 | 0.0874 |\n| PNet | 0.8397 | 0.0800 | 0.7901 | 0.0551 |\n| DNetα=1 | 0.8424 | 0.0728 | 0.8203 | 0.0630 |","| DG2S* | 65.36 | 395568 | 8.852 |\n| --- | --- | --- | --- |\n| DG4S* | 61.27 | 319792 | 7.980 |\n| DG8S* | 59.89 | 281904 | 7.543 |",0]
["| Parameters | Conventional(ns) | Proposed(ns) |\n| --- | --- | --- |\n| tOUT | 7.82 | N/A |\n| tIN | 1.65 | N/A |\n| tS | 0.25 | 0.25 |\n| tH | 0.02 | 0.02 |","| tDIFF | N/A | 4.69 |\n| --- | --- | --- |\n| tREA | 20 | N/A |\n| tBYTE | 12 | 12 |",1]
["| Parameters | Conventional(ns) | Proposed(ns) |\n| --- | --- | --- |\n| tOUT | 7.82 | N/A |\n| tIN | 1.65 | N/A |\n| tS | 0.25 | 0.25 |\n| tH | 0.02 | 0.02 |","|  | fc6size | Totalsize | Ratio | Method | Error |\n| --- | --- | --- | --- | --- | --- |\n| default | 150,994,944 | 177,546,176 | NA | NA | 18.21 |\n| k=5 | 204,805 | 26,756,037 | 6.64 | Lossy | 20.67 |\n| Lossless | 19.23 |  |  |  |  |\n| k=10 | 409,610 | 26,960,842 | 6.59 | Lossy | 19.25 |\n| Lossless | 18.87 |  |  |  |  |\n| k=50 | 2,048,050 | 28,599,282 | 6.21 | Lossy | 19.04 |\n| Lossless | 18.67 |  |  |  |  |\n| k=100 | 4,096,100 | 30,647,332 | 5.79 | Lossy | 18.68 |\n| Lossless | 18.21 |  |  |  |  |",0]
["| Parameters | Conventional(ns) | Proposed(ns) |\n| --- | --- | --- |\n| tOUT | 7.82 | N/A |\n| tIN | 1.65 | N/A |\n| tS | 0.25 | 0.25 |\n| tH | 0.02 | 0.02 |\n| tDIFF | N/A | 4.69 |","| tREA | 20 | N/A |\n| --- | --- | --- |\n| tBYTE | 12 | 12 |",1]
["| Parameters | Conventional(ns) | Proposed(ns) |\n| --- | --- | --- |\n| tOUT | 7.82 | N/A |\n| tIN | 1.65 | N/A |\n| tS | 0.25 | 0.25 |\n| tH | 0.02 | 0.02 |\n| tDIFF | N/A | 4.69 |","| k=50 | 2,048,050 | 28,599,282 | 6.21 | Lossy | 19.04 |\n| --- | --- | --- | --- | --- | --- |\n| Lossless | 18.67 |  |  |  |  |\n| k=100 | 4,096,100 | 30,647,332 | 5.79 | Lossy | 18.68 |\n| Lossless | 18.21 |  |  |  |  |",0]
["| UsingG<br>Semantic | OSL | FSL | ZSL | GZSL |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| HM | accs | accu |  |  |  |  |\n| Top1:att<br>mAP:att | 82.8<br>86.9 | 87.4<br>92.0 | 76.2<br>71.7 | 50.8<br>50.0 | 43.2<br>41.2 | 61.7<br>63.6 |","| Top1:w2v<br>mAP:w2v | 76.9<br>82.0 | 84.7<br>89.5 | 56.4<br>50.8 | 43.6<br>38.5 | 42.8<br>35.3 | 44.6<br>42.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Top1:glo<br>mAP:glo | 78.2<br>83.7 | 85.8<br>89.6 | 60.7<br>54.3 | 44.7<br>42.2 | 46.4<br>37.8 | 43.2<br>47.9 |",1]
["| UsingG<br>Semantic | OSL | FSL | ZSL | GZSL |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| HM | accs | accu |  |  |  |  |\n| Top1:att<br>mAP:att | 82.8<br>86.9 | 87.4<br>92.0 | 76.2<br>71.7 | 50.8<br>50.0 | 43.2<br>41.2 | 61.7<br>63.6 |","| Top1:G | AwA | CUB |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| HM | accs | accu | HM | accs | accu |  |\n| DAP<br>IAP<br>ConSE<br>SynC<br>MFMR | 4.7<br>3.3<br>16.9<br>0.8<br>29.60 | 77.9<br>76.8<br>75.9<br>81.0<br>75.6 | 2.4<br>1.7<br>9.5<br>0.4<br>18.4 | 7.5<br>2.0<br>3.5<br>22.3<br>- | 55.1<br>69.4<br>69.9<br>72.0<br>- | 4.0<br>1.0<br>1.8<br>13.2<br>- |\n| OurGZSL | 50.8 | 43.2 | 61.7 | 29.5 | 23.4 | 39.9 |\n| OurZSL | 76.2 | 44.0 |  |  |  |  |",0]
["| UsingG<br>Semantic | OSL | FSL | ZSL | GZSL |\n| --- | --- | --- | --- | --- |\n| HM | accs | accu |  |  |","| Top1:att<br>mAP:att | 82.8<br>86.9 | 87.4<br>92.0 | 76.2<br>71.7 | 50.8<br>50.0 | 43.2<br>41.2 | 61.7<br>63.6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Top1:w2v<br>mAP:w2v | 76.9<br>82.0 | 84.7<br>89.5 | 56.4<br>50.8 | 43.6<br>38.5 | 42.8<br>35.3 | 44.6<br>42.5 |\n| Top1:glo<br>mAP:glo | 78.2<br>83.7 | 85.8<br>89.6 | 60.7<br>54.3 | 44.7<br>42.2 | 46.4<br>37.8 | 43.2<br>47.9 |",1]
["| UsingG<br>Semantic | OSL | FSL | ZSL | GZSL |\n| --- | --- | --- | --- | --- |\n| HM | accs | accu |  |  |","| OurGZSL | 50.8 | 43.2 | 61.7 | 29.5 | 23.4 | 39.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OurZSL | 76.2 | 44.0 |  |  |  |  |",0]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 41.46 | 40.72 |","| Multi-Token(L=1) | 49.86 | 50.99 |\n| --- | --- | --- |\n| Multi-Token(L=2) | 38.61 | 37.22 |\n| Multi-Token(L=3) | 33.01 | 32.19 |\n| Multi-Emb(E=2) | 40.30 | 39.28 |\n| Multi-Emb(E=3) | 45.72 | 44.40 |",1]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 41.46 | 40.72 |","| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 47.64 | 48.62 |\n| Multi-Token(L=1) | 45.69 | 47.21 |\n| Multi-Token(L=2) | 44.15 | 46.12 |\n| Multi-Token(L=3) | 45.19 | 46.84 |\n| Multi-Emb(E=2) | 44.80 | 46.32 |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",0]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 41.46 | 40.72 |","| Multi-Token(L=1) | 49.86 | 50.99 |\n| --- | --- | --- |\n| Multi-Token(L=2) | 38.61 | 37.22 |\n| Multi-Token(L=3) | 33.01 | 32.19 |\n| Multi-Emb(E=2) | 40.30 | 39.28 |\n| Multi-Emb(E=3) | 45.72 | 44.40 |",1]
["| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 41.46 | 40.72 |","| Multi-Token(L=2) | 44.15 | 46.12 |\n| --- | --- | --- |\n| Multi-Token(L=3) | 45.19 | 46.84 |\n| Multi-Emb(E=2) | 44.80 | 46.32 |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",0]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | novine(newspaper) | i(and) | i(and) | i(and) | i(and) |\n| 2. | temelju(basedon) | u(in) | u(in) | ili(or) | u(in) |\n| 3. | manjinu(minority) | za(for) | je(is) | je(is) | za(for) |\n| 4. | srpsku(Serbian) | na(on) | za(for) | se(self) | ili(or) |\n| 5. | sladu(harmony) | ili(or) | se(self) | da(that) | na(on) |\n| 6. | snagu(strength) | iz(from) | ili(or) | usluga(service) | je(is) |","| 7. | osiguranju(insurance) | te(and) | na(on) | zakona(law) | se(self) |\n| --- | --- | --- | --- | --- | --- |\n| 8. | narodnim(national) | je(is) | o(on) | a(but) | o(on) |\n| 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |\n| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) |",1]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | novine(newspaper) | i(and) | i(and) | i(and) | i(and) |\n| 2. | temelju(basedon) | u(in) | u(in) | ili(or) | u(in) |\n| 3. | manjinu(minority) | za(for) | je(is) | je(is) | za(for) |\n| 4. | srpsku(Serbian) | na(on) | za(for) | se(self) | ili(or) |\n| 5. | sladu(harmony) | ili(or) | se(self) | da(that) | na(on) |\n| 6. | snagu(strength) | iz(from) | ili(or) | usluga(service) | je(is) |","|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |\n| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |\n| 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |\n| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |\n| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) |\n| 6. | matrica(matrix) | a(but) | ili(or) | ili(or) | ili(or) |\n| 7. | pretplata(subscription) | se(self) | su(are) | to(it) | a(but) |\n| 8. | ˇcasopis(journal) | za(for) | za(for) | bolesti(disease) | za(for) |\n| 9. | oglasi(ads) | od(from) | od(from) | da(that) | su(are) |\n| 10. | marketing(marketing) | su(are) | a(but) | biljke(plants) | od(from) |",0]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | novine(newspaper) | i(and) | i(and) | i(and) | i(and) |\n| 2. | temelju(basedon) | u(in) | u(in) | ili(or) | u(in) |\n| 3. | manjinu(minority) | za(for) | je(is) | je(is) | za(for) |","| 4. | srpsku(Serbian) | na(on) | za(for) | se(self) | ili(or) |\n| --- | --- | --- | --- | --- | --- |\n| 5. | sladu(harmony) | ili(or) | se(self) | da(that) | na(on) |\n| 6. | snagu(strength) | iz(from) | ili(or) | usluga(service) | je(is) |\n| 7. | osiguranju(insurance) | te(and) | na(on) | zakona(law) | se(self) |\n| 8. | narodnim(national) | je(is) | o(on) | a(but) | o(on) |\n| 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |\n| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) |",1]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | novine(newspaper) | i(and) | i(and) | i(and) | i(and) |\n| 2. | temelju(basedon) | u(in) | u(in) | ili(or) | u(in) |\n| 3. | manjinu(minority) | za(for) | je(is) | je(is) | za(for) |","| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |\n| --- | --- | --- | --- | --- | --- |\n| 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |\n| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |\n| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) |\n| 6. | matrica(matrix) | a(but) | ili(or) | ili(or) | ili(or) |\n| 7. | pretplata(subscription) | se(self) | su(are) | to(it) | a(but) |\n| 8. | ˇcasopis(journal) | za(for) | za(for) | bolesti(disease) | za(for) |\n| 9. | oglasi(ads) | od(from) | od(from) | da(that) | su(are) |\n| 10. | marketing(marketing) | su(are) | a(but) | biljke(plants) | od(from) |",0]
["| Method | Accuracy |  |  |\n| --- | --- | --- | --- |\n| subjectA | subjectB | subjectC |  |\n| originaldata | 0.6482 | 0.6015 | 0.6338 |\n| PCA | 0.6529 | 0.5957 | 0.6100 |\n| RPCA | 0.6656 | 0.5925 | 0.6186 |\n| GBF | 0.6638 | 0.6026 | 0.5970 |","| 2-layerAE | 0.6610 | 0.5983 | 0.6302 |\n| --- | --- | --- | --- |\n| 4-layerAE | 0.6693 | 0.5939 | 0.6323 |\n| proposedmodel | 0.6833 | 0.6414 | 0.6435 |",1]
["| Method | Accuracy |  |  |\n| --- | --- | --- | --- |\n| subjectA | subjectB | subjectC |  |\n| originaldata | 0.6482 | 0.6015 | 0.6338 |\n| PCA | 0.6529 | 0.5957 | 0.6100 |\n| RPCA | 0.6656 | 0.5925 | 0.6186 |\n| GBF | 0.6638 | 0.6026 | 0.5970 |","|  | UnderSegmentation | Accuracy | MCC |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | Mean | SD | Mean | SD | Mean | SD |\n| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |\n| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |\n| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |\n| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |",0]
["| Method | Accuracy |  |  |\n| --- | --- | --- | --- |\n| subjectA | subjectB | subjectC |  |\n| originaldata | 0.6482 | 0.6015 | 0.6338 |\n| PCA | 0.6529 | 0.5957 | 0.6100 |\n| RPCA | 0.6656 | 0.5925 | 0.6186 |\n| GBF | 0.6638 | 0.6026 | 0.5970 |\n| 2-layerAE | 0.6610 | 0.5983 | 0.6302 |","| 4-layerAE | 0.6693 | 0.5939 | 0.6323 |\n| --- | --- | --- | --- |\n| proposedmodel | 0.6833 | 0.6414 | 0.6435 |",1]
["| Method | Accuracy |  |  |\n| --- | --- | --- | --- |\n| subjectA | subjectB | subjectC |  |\n| originaldata | 0.6482 | 0.6015 | 0.6338 |\n| PCA | 0.6529 | 0.5957 | 0.6100 |\n| RPCA | 0.6656 | 0.5925 | 0.6186 |\n| GBF | 0.6638 | 0.6026 | 0.5970 |\n| 2-layerAE | 0.6610 | 0.5983 | 0.6302 |","| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |",0]
["| LoadBalance[5 | 1.658 |\n| --- | --- |\n| 17 | 1.656 |\n| 42 | 1.652 |\n| 102 | 1.644 |","| 114 | 1.297 |\n| --- | --- |\n| 132 | 1.000 |",1]
["| LoadBalance[5 | 1.658 |\n| --- | --- |\n| 17 | 1.656 |\n| 42 | 1.652 |\n| 102 | 1.644 |","| setting-1 |\n| --- |\n| 54.2 |\n| 75.5 |\n| 76.5 |\n| 79.3 |\n| 80.5 |\n| 83.6 |\n| 85.1 |\n| 86.7 |",0]
["| LoadBalance[5 | 1.658 |\n| --- | --- |\n| 17 | 1.656 |\n| 42 | 1.652 |","| 102 | 1.644 |\n| --- | --- |\n| 114 | 1.297 |\n| 132 | 1.000 |",1]
["| LoadBalance[5 | 1.658 |\n| --- | --- |\n| 17 | 1.656 |\n| 42 | 1.652 |","| 79.3 |\n| --- |\n| 80.5 |\n| 83.6 |\n| 85.1 |\n| 86.7 |",0]
["| ID | System-call | Group |\n| --- | --- | --- |\n| 0 | NtOpenSection | Memory |\n| 1 | ACCESSMASK | ACCESSMASK |\n| 2 | POBJECTATTRIBUTES | Object |\n| 3 | NtQueryAttributesFile | File |\n| 4 | NtRaiseHardError | Process |\n| 5 | NTSTATUS | NTSTATUS |\n| 6 | ULONG | ULONG |","| 7 | PULONGPTR | Process |\n| --- | --- | --- |\n| 8 | HARDERRORRESPONSEOPTION | Process |",1]
["| ID | System-call | Group |\n| --- | --- | --- |\n| 0 | NtOpenSection | Memory |\n| 1 | ACCESSMASK | ACCESSMASK |\n| 2 | POBJECTATTRIBUTES | Object |\n| 3 | NtQueryAttributesFile | File |\n| 4 | NtRaiseHardError | Process |\n| 5 | NTSTATUS | NTSTATUS |\n| 6 | ULONG | ULONG |","| Description | AccessDescriptor |\n| --- | --- |\n| Read-onlyaccess | access.READ |\n| Write-onlyaccess | access.WRITE |\n| Readandwriteaccess | access.RW |\n| Incrementalaccess | access.INC |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",0]
["| ID | System-call | Group |\n| --- | --- | --- |\n| 0 | NtOpenSection | Memory |\n| 1 | ACCESSMASK | ACCESSMASK |\n| 2 | POBJECTATTRIBUTES | Object |\n| 3 | NtQueryAttributesFile | File |","| 4 | NtRaiseHardError | Process |\n| --- | --- | --- |\n| 5 | NTSTATUS | NTSTATUS |\n| 6 | ULONG | ULONG |\n| 7 | PULONGPTR | Process |\n| 8 | HARDERRORRESPONSEOPTION | Process |",1]
["| ID | System-call | Group |\n| --- | --- | --- |\n| 0 | NtOpenSection | Memory |\n| 1 | ACCESSMASK | ACCESSMASK |\n| 2 | POBJECTATTRIBUTES | Object |\n| 3 | NtQueryAttributesFile | File |","| Write-onlyaccess | access.WRITE |\n| --- | --- |\n| Readandwriteaccess | access.RW |\n| Incrementalaccess | access.INC |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",0]
["| Methods | r=1 | r=5 | r=20 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 65.51<br>66.77<br>66.57<br>67.68 | 81.72<br>82.68<br>82.88<br>82.17 | 90.10<br>91.21<br>91.46<br>90.91 |","| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 64.95<br>65.15<br>66.36<br>67.17 | 81.01<br>82.58<br>82.63<br>81.41 | 89.90<br>90.56<br>91.67<br>90.25 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 63.33<br>63.89<br>65.15<br>65.71 | 80.51<br>80.81<br>81.67<br>80.51 | 88.74<br>89.65<br>91.01<br>89.29 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 60.81<br>61.92<br>61.81<br>63.59 | 77.93<br>78.38<br>79.14<br>78.43 | 87.88<br>88.28<br>88.69<br>88.18 |",1]
["| Methods | r=1 | r=5 | r=20 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 65.51<br>66.77<br>66.57<br>67.68 | 81.72<br>82.68<br>82.88<br>82.17 | 90.10<br>91.21<br>91.46<br>90.91 |","| Size | Methods |\n| --- | --- |\n| 200 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 450 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 632 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 1025 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 12180 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 19732 | inv-DAKR<br>bi-DAKR<br>re-ranking |",0]
["| Methods | r=1 | r=5 | r=20 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 65.51<br>66.77<br>66.57<br>67.68 | 81.72<br>82.68<br>82.88<br>82.17 | 90.10<br>91.21<br>91.46<br>90.91 |","| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 64.95<br>65.15<br>66.36<br>67.17 | 81.01<br>82.58<br>82.63<br>81.41 | 89.90<br>90.56<br>91.67<br>90.25 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 63.33<br>63.89<br>65.15<br>65.71 | 80.51<br>80.81<br>81.67<br>80.51 | 88.74<br>89.65<br>91.01<br>89.29 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 60.81<br>61.92<br>61.81<br>63.59 | 77.93<br>78.38<br>79.14<br>78.43 | 87.88<br>88.28<br>88.69<br>88.18 |",1]
["| Methods | r=1 | r=5 | r=20 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 65.51<br>66.77<br>66.57<br>67.68 | 81.72<br>82.68<br>82.88<br>82.17 | 90.10<br>91.21<br>91.46<br>90.91 |","| 1025 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| --- | --- |\n| 12180 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 19732 | inv-DAKR<br>bi-DAKR<br>re-ranking |",0]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| T2*toCT | Cycle | 0.516(0.19)18.32(1.82)0.5716(0.15) |","| Dicycle | 0.287(0.11)23.71(1.17)0.7122(0.03) |  |\n| --- | --- | --- |\n| CTtoT2* | Cycle | 0.521(0.22)19.12(1.60)0.5818(0.12) |\n| Dicycle | 0.299(0.08)22.66(1.11)0.7556(0.02) |  |",1]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| T2*toCT | Cycle | 0.516(0.19)18.32(1.82)0.5716(0.15) |","| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) |\n| Dicycle | 0.145(0.02)22.32(1.29)0.7842(0.03) |  |\n| T2toPD | Cycle | 0.561(0.22)19.42(1.61)0.6001(0.11) |\n| Dicycle | 0.141(0.02)22.86(1.31)0.7714(0.02) |  |",0]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| T2*toCT | Cycle | 0.516(0.19)18.32(1.82)0.5716(0.15) |","| Dicycle | 0.287(0.11)23.71(1.17)0.7122(0.03) |  |\n| --- | --- | --- |\n| CTtoT2* | Cycle | 0.521(0.22)19.12(1.60)0.5818(0.12) |\n| Dicycle | 0.299(0.08)22.66(1.11)0.7556(0.02) |  |",1]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| T2*toCT | Cycle | 0.516(0.19)18.32(1.82)0.5716(0.15) |","| T2toPD | Cycle | 0.561(0.22)19.42(1.61)0.6001(0.11) |\n| --- | --- | --- |\n| Dicycle | 0.141(0.02)22.86(1.31)0.7714(0.02) |  |",0]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| AverageFusion | 0.90 | 0.92 | 0.91 |\n| DempsterShaferFusion | 0.93 | 0.95 | 0.94 |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |","| OP-Concatenation | 0.93 | 0.90 | 0.91 |\n| --- | --- | --- | --- |\n| OrderlessBilinear | 0.87 | 0.90 | 0.88 |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",1]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| AverageFusion | 0.90 | 0.92 | 0.91 |\n| DempsterShaferFusion | 0.93 | 0.95 | 0.94 |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |","| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |\n| Bilinear-FC | 0.95 | 0.75 | 0.85 |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",0]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| AverageFusion | 0.90 | 0.92 | 0.91 |\n| DempsterShaferFusion | 0.93 | 0.95 | 0.94 |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |","| OrderlessBilinear | 0.87 | 0.90 | 0.88 |\n| --- | --- | --- | --- |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",1]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| AverageFusion | 0.90 | 0.92 | 0.91 |\n| DempsterShaferFusion | 0.93 | 0.95 | 0.94 |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |","| Bilinear-FC | 0.95 | 0.75 | 0.85 |\n| --- | --- | --- | --- |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",0]
["| Method | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| SE | 0.643 | 0.680 | 0.608 |","| HED | 0.677 | 0.715 | 0.618 |\n| --- | --- | --- | --- |\n| CEDN | 0.686 | 0.718 | 0.687 |\n| FCSN | 0.698 | 0.729 | 0.705 |",1]
["| Method | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| SE | 0.643 | 0.680 | 0.608 |","| ODSOISAP |\n| --- |\n| 0.8000.800– |\n| 0.5900.6200.578<br>0.7210.7390.768<br>0.7390.7590.792 |\n| 0.7570.7760.790<br>0.7800.7970.814 |\n| 0.7820.8000.779 |",0]
["| Method | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| SE | 0.643 | 0.680 | 0.608 |\n| HED | 0.677 | 0.715 | 0.618 |","| CEDN | 0.686 | 0.718 | 0.687 |\n| --- | --- | --- | --- |\n| FCSN | 0.698 | 0.729 | 0.705 |",1]
["| Method | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| SE | 0.643 | 0.680 | 0.608 |\n| HED | 0.677 | 0.715 | 0.618 |","| 0.5900.6200.578<br>0.7210.7390.768<br>0.7390.7590.792 |\n| --- |\n| 0.7570.7760.790<br>0.7800.7970.814 |\n| 0.7820.8000.779 |",0]
["| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |","| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",1]
["| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |","| 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |\n| 32.0 | 30.0 | 21.7 | 31.9 | 19.5 | 14.8 | 24.1 | 29.6 | 13.1 |\n| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",0]
["| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |","| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",1]
["| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |","| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",0]
["| Method | OldCI | NewCI |\n| --- | --- | --- |\n| Frequency(Monobit)Test | 0.595549 | 0.474986 |\n| FrequencyTestwithinaBlock | 0.554420 | 0.897763 |\n| RunsTest | 0.455937 | 0.816537 |\n| LongestRunofOnesinaBlockTest | 0.016717 | 0.798139 |\n| BinaryMatrixRankTest | 0.616305 | 0.262249 |\n| DiscreteFourierTransform(Spectral)Test | 0.000190 | 0.007160 |\n| Non-overlappingTemplateMatchingTest* | 0.532252 | 0.449916 |","| OverlappingTemplateMatchingTest | 0.334538 | 0.514124 |\n| --- | --- | --- |\n| Maurer’s“UniversalStatistical”Test | 0.032923 | 0.678686 |\n| LinearComplexityTest | 0.401199 | 0.657933 |\n| SerialTest*(m=10) | 0.013396 | 0.425346 |\n| ApproximateEntropyTest(m=10) | 0.137282 | 0.637119 |\n| CumulativeSums(Cusum)Test* | 0.046464 | 0.279680 |\n| RandomExcursionsTest* | 0.503622 | 0.287409 |\n| RandomExcursionsVariantTest* | 0.347772 | 0.486686 |\n| Success | 15/15 | 15/15 |",1]
["| Method | OldCI | NewCI |\n| --- | --- | --- |\n| Frequency(Monobit)Test | 0.595549 | 0.474986 |\n| FrequencyTestwithinaBlock | 0.554420 | 0.897763 |\n| RunsTest | 0.455937 | 0.816537 |\n| LongestRunofOnesinaBlockTest | 0.016717 | 0.798139 |\n| BinaryMatrixRankTest | 0.616305 | 0.262249 |\n| DiscreteFourierTransform(Spectral)Test | 0.000190 | 0.007160 |\n| Non-overlappingTemplateMatchingTest* | 0.532252 | 0.449916 |","| Method | CIPRNG | XORshift | BBS |\n| --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.073128 | 0.145326 | 0.32435 |\n| FrequencyTestwithinaBlock | 0.719128 | 0.028817 | 0.000000 |\n| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |\n| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| Success | 15/15 | 14/15 | 2/15 |",0]
["| Method | OldCI | NewCI |\n| --- | --- | --- |\n| Frequency(Monobit)Test | 0.595549 | 0.474986 |\n| FrequencyTestwithinaBlock | 0.554420 | 0.897763 |","| RunsTest | 0.455937 | 0.816537 |\n| --- | --- | --- |\n| LongestRunofOnesinaBlockTest | 0.016717 | 0.798139 |\n| BinaryMatrixRankTest | 0.616305 | 0.262249 |\n| DiscreteFourierTransform(Spectral)Test | 0.000190 | 0.007160 |\n| Non-overlappingTemplateMatchingTest* | 0.532252 | 0.449916 |\n| OverlappingTemplateMatchingTest | 0.334538 | 0.514124 |\n| Maurer’s“UniversalStatistical”Test | 0.032923 | 0.678686 |\n| LinearComplexityTest | 0.401199 | 0.657933 |\n| SerialTest*(m=10) | 0.013396 | 0.425346 |\n| ApproximateEntropyTest(m=10) | 0.137282 | 0.637119 |\n| CumulativeSums(Cusum)Test* | 0.046464 | 0.279680 |\n| RandomExcursionsTest* | 0.503622 | 0.287409 |\n| RandomExcursionsVariantTest* | 0.347772 | 0.486686 |\n| Success | 15/15 | 15/15 |",1]
["| Method | OldCI | NewCI |\n| --- | --- | --- |\n| Frequency(Monobit)Test | 0.595549 | 0.474986 |\n| FrequencyTestwithinaBlock | 0.554420 | 0.897763 |","| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| --- | --- | --- | --- |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |\n| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| Success | 15/15 | 14/15 | 2/15 |",0]
["| Mandarinsubset |\n| --- |\n| recallnDCGKendallSpearman |","| 0.19000.19970.16790.2480<br>0.23000.23340.18060.2678<br>0.25000.23690.22860.3374 |\n| --- |\n| 0.24000.23720.16710.2473 |\n| 0.25000.25580.20180.2971<br>0.30000.29270.26650.3894 |",1]
["| Mandarinsubset |\n| --- |\n| recallnDCGKendallSpearman |","|  | Chinese | English |\n| --- | --- | --- |\n| Sentences | 13M |  |\n| Runningwords | 255M | 279M |\n| Vocabulary | 370K | 833K |\n| Tunesentences | 1844(NN),985(MERT) |  |\n| Testsentences | 1124 |  |",0]
["| Mandarinsubset |\n| --- |\n| recallnDCGKendallSpearman |\n| 0.19000.19970.16790.2480<br>0.23000.23340.18060.2678<br>0.25000.23690.22860.3374 |","| 0.24000.23720.16710.2473 |\n| --- |\n| 0.25000.25580.20180.2971<br>0.30000.29270.26650.3894 |",1]
["| Mandarinsubset |\n| --- |\n| recallnDCGKendallSpearman |\n| 0.19000.19970.16790.2480<br>0.23000.23340.18060.2678<br>0.25000.23690.22860.3374 |","| Vocabulary | 370K | 833K |\n| --- | --- | --- |\n| Tunesentences | 1844(NN),985(MERT) |  |\n| Testsentences | 1124 |  |",0]
["| Method | Covered<br>Population |\n| --- | --- |\n| RandomChoice | 47.0 |\n| Pengelal. | 106.9 |\n| Pengetal.(Topic-based) | 56.0 |\n| VectorSpace | 120.7 |\n| proposed,d=0.0 | 103.9 |\n| proposed,d=0.1 | 103.7 |","| proposed,d=0.2 | 93.0 |\n| --- | --- |\n| proposed,d=0.3 | 91.8 |\n| proposed,d=0.4 | 92.0 |\n| proposed,d=0.5 | 85.2 |\n| proposed,d=0.6 | 75.9 |\n| proposed,d=0.7 | 74.0 |\n| proposed,d=0.8 | 69.4 |\n| proposed,d=0.9 | 62.3 |\n| proposed,d=1.0 | 56.6 |",1]
["| Method | Covered<br>Population |\n| --- | --- |\n| RandomChoice | 47.0 |\n| Pengelal. | 106.9 |\n| Pengetal.(Topic-based) | 56.0 |\n| VectorSpace | 120.7 |\n| proposed,d=0.0 | 103.9 |\n| proposed,d=0.1 | 103.7 |","| Method | R | P | F | F(mostactive) | F(leastactive) |\n| --- | --- | --- | --- | --- | --- |\n| RandomChoice | 0.001593 | 0.04874 | 0.003084 | - | - |\n| Pengetal. | 0.001636 | 0.10046 | 0.003190 | - | - |\n| Pengetal.(topic-based) | 0.001797 | 0.05881 | 0.003485 | - | - |\n| VectorSpace. | 0.001883 | 0.24242 | 0.003685 | - | - |\n| proposed,d=0.0 | 0.001874 | 0.09176 | 0.003641 | 0.003967 | 0.003325 |\n| proposed,d=0.1 | 0.001851 | 0.08408 | 0.003594 | 0.003939 | 0.003262 |\n| proposed,d=0.2 | 0.001892 | 0.09261 | 0.003678 | 0.003976 | 0.003395 |\n| proposed,d=0.3 | 0.001743 | 0.09295 | 0.003393 | 0.003733 | 0.003070 |\n| proposed,d=0.4 | 0.001748 | 0.10385 | 0.003404 | 0.003728 | 0.003102 |\n| proposed,d=0.5 | 0.001798 | 0.11824 | 0.003404 | 0.003965 | 0.003086 |\n| proposed,d=0.6 | 0.001815 | 0.11714 | 0.003539 | 0.003829 | 0.003275 |\n| proposed,d=0.7 | 0.001878 | 0.12024 | 0.003658 | 0.003919 | 0.003412 |\n| proposed,d=0.8 | 0.001987 | 0.12815 | 0.003859 | 0.004099 | 0.003650 |\n| proposed,d=0.9 | 0.002221 | 0.09837 | 0.004318 | 0.004577 | 0.004076 |\n| proposed,d=1.0 | 0.002019 | 0.12618 | 0.003925 | 0.003775 | 0.004070 |",0]
["| Method | Covered<br>Population |\n| --- | --- |\n| RandomChoice | 47.0 |\n| Pengelal. | 106.9 |\n| Pengetal.(Topic-based) | 56.0 |\n| VectorSpace | 120.7 |\n| proposed,d=0.0 | 103.9 |\n| proposed,d=0.1 | 103.7 |\n| proposed,d=0.2 | 93.0 |\n| proposed,d=0.3 | 91.8 |","| proposed,d=0.4 | 92.0 |\n| --- | --- |\n| proposed,d=0.5 | 85.2 |\n| proposed,d=0.6 | 75.9 |\n| proposed,d=0.7 | 74.0 |\n| proposed,d=0.8 | 69.4 |\n| proposed,d=0.9 | 62.3 |\n| proposed,d=1.0 | 56.6 |",1]
["| Method | Covered<br>Population |\n| --- | --- |\n| RandomChoice | 47.0 |\n| Pengelal. | 106.9 |\n| Pengetal.(Topic-based) | 56.0 |\n| VectorSpace | 120.7 |\n| proposed,d=0.0 | 103.9 |\n| proposed,d=0.1 | 103.7 |\n| proposed,d=0.2 | 93.0 |\n| proposed,d=0.3 | 91.8 |","| proposed,d=0.9 | 0.002221 | 0.09837 | 0.004318 | 0.004577 | 0.004076 |\n| --- | --- | --- | --- | --- | --- |\n| proposed,d=1.0 | 0.002019 | 0.12618 | 0.003925 | 0.003775 | 0.004070 |",0]
["| Dataset | Site1 | Site2 | Site3 | Site4 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time |","| Mfeat-Fac | 100 | 0.1365 | 100 | 0.256 | 100 | 0.143 | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |\n| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 |",1]
["| Dataset | Site1 | Site2 | Site3 | Site4 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time |","| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Dataset | Site1 | Site2 | Site3 | Site4 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time |  |\n| Mfeat-Fac | 100 | 0.1365 | 100 | 0.256 | 100 | 0.143 | - | - |","| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 |",1]
["| Dataset | Site1 | Site2 | Site3 | Site4 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time |  |\n| Mfeat-Fac | 100 | 0.1365 | 100 | 0.256 | 100 | 0.143 | - | - |","| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |\n| --- | --- | --- | --- |\n| conv1+pool | 89.01 | 12.95 | 0.02 |\n| ReLU | 52.07 | 0.46 | — |\n| conv2+ReLU | 87.96 | 11.12 | 0.13 |\n| conv3 | 77.46 | 11.85 | 0.13 |\n| conv4 | 83.56 | 5.49 | 0.02 |\n| add | 37.75 | 0.12 | — |\n| ReLU | 36.81 | 0.12 | — |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |","| fully1 | 30.76 | 0.04 | 0.09 |\n| --- | --- | --- | --- |\n| fully2 | 36.74 | 0.04 | 0.09 |",1]
["| Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |\n| --- | --- | --- | --- |\n| conv1+pool | 89.01 | 12.95 | 0.02 |\n| ReLU | 52.07 | 0.46 | — |\n| conv2+ReLU | 87.96 | 11.12 | 0.13 |\n| conv3 | 77.46 | 11.85 | 0.13 |\n| conv4 | 83.56 | 5.49 | 0.02 |\n| add | 37.75 | 0.12 | — |\n| ReLU | 36.81 | 0.12 | — |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |","| LayerswithDropout | Dropoutratio |  |\n| --- | --- | --- |\n| 0.4 | 0.5 |  |\n| fc7+fc6 | 0.854 | 0.853 |\n| fc7+fc6+conv5 | 0.853 | 0.854 |\n| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |\n| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |\n| fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |\n| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 |",0]
["| Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |\n| --- | --- | --- | --- |\n| conv1+pool | 89.01 | 12.95 | 0.02 |\n| ReLU | 52.07 | 0.46 | — |\n| conv2+ReLU | 87.96 | 11.12 | 0.13 |\n| conv3 | 77.46 | 11.85 | 0.13 |","| conv4 | 83.56 | 5.49 | 0.02 |\n| --- | --- | --- | --- |\n| add | 37.75 | 0.12 | — |\n| ReLU | 36.81 | 0.12 | — |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |\n| fully1 | 30.76 | 0.04 | 0.09 |\n| fully2 | 36.74 | 0.04 | 0.09 |",1]
["| Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |\n| --- | --- | --- | --- |\n| conv1+pool | 89.01 | 12.95 | 0.02 |\n| ReLU | 52.07 | 0.46 | — |\n| conv2+ReLU | 87.96 | 11.12 | 0.13 |\n| conv3 | 77.46 | 11.85 | 0.13 |","| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |\n| --- | --- | --- |\n| fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |\n| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |","| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| --- |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |","| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| --- |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |","| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| --- |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",0]
["| Code<br>size | Model | With<br>bigrams | 20Newsgroups | RCV1 | EnglishWikipedia |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | NDCG@10 | MAP | NDCG@10 | MAP | NDCG@10 |  |  |  |\n| 128 | PV-DBOW | no | 0.4 | 0.75 | 0.25 | 0.79 | 0.25 | 0.59 |\n| yes | 0.45 | 0.75 | 0.27 | 0.8 | 0.26 | 0.6 |  |  |\n| Binary<br>PV-DBOW | no | 0.34 | 0.69 | 0.22 | 0.74 | 0.18 | 0.48 |  |\n| yes | 0.35 | 0.69 | 0.24 | 0.77 | 0.18 | 0.49 |  |  |\n| PV-DM | N/A | 0.41 | 0.73 | 0.23 | 0.78 | 0.24 | 0.59 |  |","| BinaryPV-DM | 0.34 | 0.65 | 0.18 | 0.69 | 0.16 | 0.46 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | PV-DBOW | no | 0.43 | 0.71 | 0.26 | 0.75 | 0.23 | 0.55 |\n| yes | 0.46 | 0.72 | 0.27 | 0.77 | 0.25 | 0.58 |  |  |\n| Binary<br>PV-DBOW | no | 0.32 | 0.53 | 0.22 | 0.6 | 0.16 | 0.41 |  |\n| yes | 0.32 | 0.54 | 0.25 | 0.66 | 0.17 | 0.44 |  |  |\n| PV-DM | N/A | 0.43 | 0.7 | 0.23 | 0.77 | 0.23 | 0.55 |  |\n| BinaryPV-DM | 0.29 | 0.49 | 0.17 | 0.53 | 0.15 | 0.41 |  |  |",1]
["| Code<br>size | Model | With<br>bigrams | 20Newsgroups | RCV1 | EnglishWikipedia |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | NDCG@10 | MAP | NDCG@10 | MAP | NDCG@10 |  |  |  |\n| 128 | PV-DBOW | no | 0.4 | 0.75 | 0.25 | 0.79 | 0.25 | 0.59 |\n| yes | 0.45 | 0.75 | 0.27 | 0.8 | 0.26 | 0.6 |  |  |\n| Binary<br>PV-DBOW | no | 0.34 | 0.69 | 0.22 | 0.74 | 0.18 | 0.48 |  |\n| yes | 0.35 | 0.69 | 0.24 | 0.77 | 0.18 | 0.49 |  |  |\n| PV-DM | N/A | 0.41 | 0.73 | 0.23 | 0.78 | 0.24 | 0.59 |  |","|  | L1dline | DRAMpage | VMpage | VMsuperpage |\n| --- | --- | --- | --- | --- |\n| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |\n| BFS | 0.36 | 0.43 | 0.26 | 0.07 |\n| DFS | 0.33 | 0.23 | 0.19 | 0.11 |\n| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",0]
["| Code<br>size | Model | With<br>bigrams | 20Newsgroups | RCV1 | EnglishWikipedia |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | NDCG@10 | MAP | NDCG@10 | MAP | NDCG@10 |  |  |  |\n| 128 | PV-DBOW | no | 0.4 | 0.75 | 0.25 | 0.79 | 0.25 | 0.59 |","| yes | 0.45 | 0.75 | 0.27 | 0.8 | 0.26 | 0.6 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Binary<br>PV-DBOW | no | 0.34 | 0.69 | 0.22 | 0.74 | 0.18 | 0.48 |  |\n| yes | 0.35 | 0.69 | 0.24 | 0.77 | 0.18 | 0.49 |  |  |\n| PV-DM | N/A | 0.41 | 0.73 | 0.23 | 0.78 | 0.24 | 0.59 |  |\n| BinaryPV-DM | 0.34 | 0.65 | 0.18 | 0.69 | 0.16 | 0.46 |  |  |\n| 32 | PV-DBOW | no | 0.43 | 0.71 | 0.26 | 0.75 | 0.23 | 0.55 |\n| yes | 0.46 | 0.72 | 0.27 | 0.77 | 0.25 | 0.58 |  |  |\n| Binary<br>PV-DBOW | no | 0.32 | 0.53 | 0.22 | 0.6 | 0.16 | 0.41 |  |\n| yes | 0.32 | 0.54 | 0.25 | 0.66 | 0.17 | 0.44 |  |  |\n| PV-DM | N/A | 0.43 | 0.7 | 0.23 | 0.77 | 0.23 | 0.55 |  |\n| BinaryPV-DM | 0.29 | 0.49 | 0.17 | 0.53 | 0.15 | 0.41 |  |  |",1]
["| Code<br>size | Model | With<br>bigrams | 20Newsgroups | RCV1 | EnglishWikipedia |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | NDCG@10 | MAP | NDCG@10 | MAP | NDCG@10 |  |  |  |\n| 128 | PV-DBOW | no | 0.4 | 0.75 | 0.25 | 0.79 | 0.25 | 0.59 |","| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| --- | --- | --- | --- | --- |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",0]
["|  | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | W9 | W10 | W11 | W12 | W13 | W14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W1 | 0 | 8.4 | 14.2 | 8.5 | 14.1 | 15.3 | 11 | 20 | 17.1 | 13 | 13 | 13.2 | 6.2 | 11.2 |","| W2 | 8.4 | 0 | 7.2 | 13.8 | 8.5 | 14.7 | 17.8 | 15.7 | 11 | 7.2 | 7.8 | 7.7 | 11.2 | 6.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W3 | 14.2 | 7.2 | 0 | 14.2 | 7.2 | 14.8 | 18.2 | 15.8 | 11.2 | 8.2 | 8.2 | 7.8 | 14.2 | 5.8 |\n| W4 | 8.5 | 13.8 | 14.2 | 0 | 8.4 | 15.9 | 9.6 | 19.7 | 14.3 | 13 | 13 | 14.7 | 8.2 | 11.2 |\n| W5 | 14.1 | 8.5 | 7.2 | 8.4 | 0 | 13.2 | 16.7 | 15.7 | 9.7 | 7.2 | 6.7 | 8.2 | 14.1 | 7.1 |\n| W6 | 15.3 | 14.7 | 14.8 | 15.9 | 13.2 | 0 | 18.7 | 18.9 | 15.5 | 9.4 | 13.7 | 7 | 17.3 | 11.8 |\n| W7 | 11 | 17.8 | 18.2 | 9.7 | 16.7 | 18.7 | 0 | 20 | 11.2 | 17.1 | 15.6 | 17.8 | 10.2 | 13.8 |\n| W8 | 20 | 15.7 | 15.8 | 19.7 | 15.7 | 18.9 | 20 | 0 | 14.5 | 15.8 | 17.5 | 16.5 | 18.6 | 15.7 |\n| W9 | 17.1 | 11 | 11.2 | 14.3 | 9.7 | 15.5 | 11.2 | 14.5 | 0 | 10 | 9.2 | 11.1 | 16.3 | 9.7 |\n| W10 | 13 | 7.2 | 8.2 | 13.1 | 7.2 | 9.4 | 17.1 | 15.8 | 10 | 0 | 8.5 | 8 | 13 | 7.8 |\n| W11 | 13.1 | 7.8 | 8.2 | 13.1 | 6.7 | 13.7 | 15.7 | 17.5 | 9.2 | 8.5 | 0 | 8.4 | 11.7 | 5.2 |\n| W12 | 13.2 | 7.7 | 7.8 | 14.7 | 8.2 | 7 | 17.8 | 16.5 | 11.1 | 8.1 | 8.4 | 0 | 12.1 | 6.8 |\n| W13 | 6.2 | 11.2 | 14.2 | 8.2 | 14.1 | 17.3 | 10.2 | 18.6 | 16.3 | 13.1 | 11.7 | 12.1 | 0 | 9.8 |\n| W14 | 11.2 | 6.2 | 5.8 | 11.2 | 7.1 | 11.8 | 13.8 | 15.7 | 9.6 | 7.8 | 5.2 | 6.8 | 9.8 | 0 |",1]
["|  | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | W9 | W10 | W11 | W12 | W13 | W14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W1 | 0 | 8.4 | 14.2 | 8.5 | 14.1 | 15.3 | 11 | 20 | 17.1 | 13 | 13 | 13.2 | 6.2 | 11.2 |","| 7.1 | 6.3 | 4.2 | 6.2 | 3.1 | 2.6 | 4.9 | 6.8 | 2.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.3 | 5.5 | 9.9 | 12.2 | 132.8 | 2.8 | 4.9 | 6.5 | 2.6 |\n| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |\n| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |\n| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 |",0]
["|  | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | W9 | W10 | W11 | W12 | W13 | W14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W1 | 0 | 8.4 | 14.2 | 8.5 | 14.1 | 15.3 | 11 | 20 | 17.1 | 13 | 13 | 13.2 | 6.2 | 11.2 |\n| W2 | 8.4 | 0 | 7.2 | 13.8 | 8.5 | 14.7 | 17.8 | 15.7 | 11 | 7.2 | 7.8 | 7.7 | 11.2 | 6.2 |\n| W3 | 14.2 | 7.2 | 0 | 14.2 | 7.2 | 14.8 | 18.2 | 15.8 | 11.2 | 8.2 | 8.2 | 7.8 | 14.2 | 5.8 |\n| W4 | 8.5 | 13.8 | 14.2 | 0 | 8.4 | 15.9 | 9.6 | 19.7 | 14.3 | 13 | 13 | 14.7 | 8.2 | 11.2 |\n| W5 | 14.1 | 8.5 | 7.2 | 8.4 | 0 | 13.2 | 16.7 | 15.7 | 9.7 | 7.2 | 6.7 | 8.2 | 14.1 | 7.1 |\n| W6 | 15.3 | 14.7 | 14.8 | 15.9 | 13.2 | 0 | 18.7 | 18.9 | 15.5 | 9.4 | 13.7 | 7 | 17.3 | 11.8 |\n| W7 | 11 | 17.8 | 18.2 | 9.7 | 16.7 | 18.7 | 0 | 20 | 11.2 | 17.1 | 15.6 | 17.8 | 10.2 | 13.8 |\n| W8 | 20 | 15.7 | 15.8 | 19.7 | 15.7 | 18.9 | 20 | 0 | 14.5 | 15.8 | 17.5 | 16.5 | 18.6 | 15.7 |\n| W9 | 17.1 | 11 | 11.2 | 14.3 | 9.7 | 15.5 | 11.2 | 14.5 | 0 | 10 | 9.2 | 11.1 | 16.3 | 9.7 |\n| W10 | 13 | 7.2 | 8.2 | 13.1 | 7.2 | 9.4 | 17.1 | 15.8 | 10 | 0 | 8.5 | 8 | 13 | 7.8 |\n| W11 | 13.1 | 7.8 | 8.2 | 13.1 | 6.7 | 13.7 | 15.7 | 17.5 | 9.2 | 8.5 | 0 | 8.4 | 11.7 | 5.2 |\n| W12 | 13.2 | 7.7 | 7.8 | 14.7 | 8.2 | 7 | 17.8 | 16.5 | 11.1 | 8.1 | 8.4 | 0 | 12.1 | 6.8 |","| W13 | 6.2 | 11.2 | 14.2 | 8.2 | 14.1 | 17.3 | 10.2 | 18.6 | 16.3 | 13.1 | 11.7 | 12.1 | 0 | 9.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W14 | 11.2 | 6.2 | 5.8 | 11.2 | 7.1 | 11.8 | 13.8 | 15.7 | 9.6 | 7.8 | 5.2 | 6.8 | 9.8 | 0 |",1]
["|  | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | W9 | W10 | W11 | W12 | W13 | W14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W1 | 0 | 8.4 | 14.2 | 8.5 | 14.1 | 15.3 | 11 | 20 | 17.1 | 13 | 13 | 13.2 | 6.2 | 11.2 |\n| W2 | 8.4 | 0 | 7.2 | 13.8 | 8.5 | 14.7 | 17.8 | 15.7 | 11 | 7.2 | 7.8 | 7.7 | 11.2 | 6.2 |\n| W3 | 14.2 | 7.2 | 0 | 14.2 | 7.2 | 14.8 | 18.2 | 15.8 | 11.2 | 8.2 | 8.2 | 7.8 | 14.2 | 5.8 |\n| W4 | 8.5 | 13.8 | 14.2 | 0 | 8.4 | 15.9 | 9.6 | 19.7 | 14.3 | 13 | 13 | 14.7 | 8.2 | 11.2 |\n| W5 | 14.1 | 8.5 | 7.2 | 8.4 | 0 | 13.2 | 16.7 | 15.7 | 9.7 | 7.2 | 6.7 | 8.2 | 14.1 | 7.1 |\n| W6 | 15.3 | 14.7 | 14.8 | 15.9 | 13.2 | 0 | 18.7 | 18.9 | 15.5 | 9.4 | 13.7 | 7 | 17.3 | 11.8 |\n| W7 | 11 | 17.8 | 18.2 | 9.7 | 16.7 | 18.7 | 0 | 20 | 11.2 | 17.1 | 15.6 | 17.8 | 10.2 | 13.8 |\n| W8 | 20 | 15.7 | 15.8 | 19.7 | 15.7 | 18.9 | 20 | 0 | 14.5 | 15.8 | 17.5 | 16.5 | 18.6 | 15.7 |\n| W9 | 17.1 | 11 | 11.2 | 14.3 | 9.7 | 15.5 | 11.2 | 14.5 | 0 | 10 | 9.2 | 11.1 | 16.3 | 9.7 |\n| W10 | 13 | 7.2 | 8.2 | 13.1 | 7.2 | 9.4 | 17.1 | 15.8 | 10 | 0 | 8.5 | 8 | 13 | 7.8 |\n| W11 | 13.1 | 7.8 | 8.2 | 13.1 | 6.7 | 13.7 | 15.7 | 17.5 | 9.2 | 8.5 | 0 | 8.4 | 11.7 | 5.2 |\n| W12 | 13.2 | 7.7 | 7.8 | 14.7 | 8.2 | 7 | 17.8 | 16.5 | 11.1 | 8.1 | 8.4 | 0 | 12.1 | 6.8 |","| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |\n| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |\n| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 |",0]
["| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 15.01.0<br>9.40.5<br>7.60.4<br>6.80.2<br>6.10.2 | 5.70.53.4ms<br>6.20.410.1ms<br>5.80.623.7ms<br>5.40.543.3ms<br>5.00.063.8ms | 7.40.54.9s<br>6.60.35.8s<br>5.80.36.8s<br>5.20.27.7s<br>5.00.08.5s |","| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 14.71.1<br>9.10.4<br>7.70.2<br>6.80.3<br>6.00.1 | 6.10.34.6ms<br>6.00.615.4ms<br>6.10.334.6ms<br>5.40.565.6ms<br>5.00.099.1ms | 8.00.66.0s<br>6.70.37.2s<br>6.00.28.9s<br>5.30.210.3s<br>5.00.011.6s |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 14.00.8<br>9.00.3<br>7.60.3<br>6.70.2<br>6.20.1 | 6.50.56.0ms<br>6.00.422.4ms<br>6.10.349.9ms<br>5.70.595.6ms<br>5.00.0145.4ms | 8.10.67.0s<br>6.70.28.7s<br>6.10.211.1s<br>5.30.112.6s<br>5.00.015.1s |\n| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 8.40.9<br>5.10.4<br>4.10.3<br>3.60.1<br>3.00.0 | 4.20.63.5ms<br>4.00.010.0ms<br>3.50.521.1ms<br>3.00.035.6ms<br>3.00.049.6ms | 5.10.54.6s<br>4.00.35.5s<br>3.30.36.5s<br>3.00.07.3s<br>3.00.08.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 8.20.8<br>5.10.3<br>4.20.2<br>3.50.2<br>3.10.1 | 4.10.54.5ms<br>4.00.014.4ms<br>3.40.532.6ms<br>3.00.052.7ms<br>3.00.074.1ms | 5.20.45.9s<br>4.00.27.2s<br>3.50.38.4s<br>3.00.09.8s<br>3.00.011.1s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 7.80.7<br>5.00.3<br>4.20.2<br>3.40.2<br>3.10.1 | 4.20.45.7ms<br>4.00.020.0ms<br>3.80.445.3ms<br>3.00.076.9ms<br>3.00.0113.4ms | 5.20.46.7s<br>4.10.28.9s<br>3.30.210.7s<br>3.00.012.1s<br>3.00.014.5s |",1]
["| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 15.01.0<br>9.40.5<br>7.60.4<br>6.80.2<br>6.10.2 | 5.70.53.4ms<br>6.20.410.1ms<br>5.80.623.7ms<br>5.40.543.3ms<br>5.00.063.8ms | 7.40.54.9s<br>6.60.35.8s<br>5.80.36.8s<br>5.20.27.7s<br>5.00.08.5s |","| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 6.90.7<br>14.90.7<br>21.61.0<br>27.70.5<br>32.80.5 | 4.10.52.6ms<br>10.90.83.2ms<br>17.81.35.5ms<br>23.40.67.6ms<br>28.80.59.0ms | 5.20.53.6s<br>12.50.55.1s<br>18.30.86.2s<br>23.90.67.6s<br>28.60.18.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 7.70.5<br>17.20.6<br>25.10.7<br>32.20.6<br>38.30.6 | 4.80.62.9ms<br>13.10.94.5ms<br>20.61.48.0ms<br>27.40.910.4ms<br>33.50.812.1ms | 6.00.54.5s<br>14.60.66.5s<br>21.80.68.2s<br>28.20.49.9s<br>33.30.211.4s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 8.50.6<br>19.20.6<br>28.80.7<br>36.20.6<br>44.10.6 | 5.70.93.6ms<br>15.30.76.7ms<br>24.11.510.8ms<br>30.60.713.4ms<br>38.00.515.7ms | 6.80.55.7s<br>16.70.58.3s<br>25.00.411.1s<br>31.70.713.0s<br>38.30.315.6s |\n| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 5.60.5<br>12.00.4<br>17.00.7<br>21.80.6<br>25.80.3 | 2.20.42.7ms<br>7.50.63.5ms<br>12.70.65.0ms<br>17.10.67.6ms<br>21.50.410.1ms | 3.50.34.2s<br>9.20.45.6s<br>13.80.76.7s<br>18.00.57.7s<br>21.30.18.7s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 6.30.3<br>13.60.5<br>20.00.5<br>25.90.4<br>30.10.4 | 3.00.43.1ms<br>8.80.94.6ms<br>15.20.77.3ms<br>19.80.810.6ms<br>24.60.413.6ms | 4.40.45.1s<br>10.90.56.9s<br>16.40.38.4s<br>21.30.510.7s<br>25.10.311.5s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 6.90.4<br>15.30.3<br>22.80.4<br>28.80.7<br>34.60.2 | 3.50.33.8ms<br>10.61.05.8ms<br>17.10.99.9ms<br>22.70.813.9ms<br>28.80.717.9ms | 5.20.36.7s<br>12.50.58.4s<br>18.80.511.4s<br>24.20.512.8s<br>28.80.215.2s |",0]
["| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 15.01.0<br>9.40.5<br>7.60.4<br>6.80.2<br>6.10.2 | 5.70.53.4ms<br>6.20.410.1ms<br>5.80.623.7ms<br>5.40.543.3ms<br>5.00.063.8ms | 7.40.54.9s<br>6.60.35.8s<br>5.80.36.8s<br>5.20.27.7s<br>5.00.08.5s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 14.71.1<br>9.10.4<br>7.70.2<br>6.80.3<br>6.00.1 | 6.10.34.6ms<br>6.00.615.4ms<br>6.10.334.6ms<br>5.40.565.6ms<br>5.00.099.1ms | 8.00.66.0s<br>6.70.37.2s<br>6.00.28.9s<br>5.30.210.3s<br>5.00.011.6s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 14.00.8<br>9.00.3<br>7.60.3<br>6.70.2<br>6.20.1 | 6.50.56.0ms<br>6.00.422.4ms<br>6.10.349.9ms<br>5.70.595.6ms<br>5.00.0145.4ms | 8.10.67.0s<br>6.70.28.7s<br>6.10.211.1s<br>5.30.112.6s<br>5.00.015.1s |","| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 8.40.9<br>5.10.4<br>4.10.3<br>3.60.1<br>3.00.0 | 4.20.63.5ms<br>4.00.010.0ms<br>3.50.521.1ms<br>3.00.035.6ms<br>3.00.049.6ms | 5.10.54.6s<br>4.00.35.5s<br>3.30.36.5s<br>3.00.07.3s<br>3.00.08.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 8.20.8<br>5.10.3<br>4.20.2<br>3.50.2<br>3.10.1 | 4.10.54.5ms<br>4.00.014.4ms<br>3.40.532.6ms<br>3.00.052.7ms<br>3.00.074.1ms | 5.20.45.9s<br>4.00.27.2s<br>3.50.38.4s<br>3.00.09.8s<br>3.00.011.1s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 7.80.7<br>5.00.3<br>4.20.2<br>3.40.2<br>3.10.1 | 4.20.45.7ms<br>4.00.020.0ms<br>3.80.445.3ms<br>3.00.076.9ms<br>3.00.0113.4ms | 5.20.46.7s<br>4.10.28.9s<br>3.30.210.7s<br>3.00.012.1s<br>3.00.014.5s |",1]
["| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 15.01.0<br>9.40.5<br>7.60.4<br>6.80.2<br>6.10.2 | 5.70.53.4ms<br>6.20.410.1ms<br>5.80.623.7ms<br>5.40.543.3ms<br>5.00.063.8ms | 7.40.54.9s<br>6.60.35.8s<br>5.80.36.8s<br>5.20.27.7s<br>5.00.08.5s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 14.71.1<br>9.10.4<br>7.70.2<br>6.80.3<br>6.00.1 | 6.10.34.6ms<br>6.00.615.4ms<br>6.10.334.6ms<br>5.40.565.6ms<br>5.00.099.1ms | 8.00.66.0s<br>6.70.37.2s<br>6.00.28.9s<br>5.30.210.3s<br>5.00.011.6s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 14.00.8<br>9.00.3<br>7.60.3<br>6.70.2<br>6.20.1 | 6.50.56.0ms<br>6.00.422.4ms<br>6.10.349.9ms<br>5.70.595.6ms<br>5.00.0145.4ms | 8.10.67.0s<br>6.70.28.7s<br>6.10.211.1s<br>5.30.112.6s<br>5.00.015.1s |","| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 7.70.5<br>17.20.6<br>25.10.7<br>32.20.6<br>38.30.6 | 4.80.62.9ms<br>13.10.94.5ms<br>20.61.48.0ms<br>27.40.910.4ms<br>33.50.812.1ms | 6.00.54.5s<br>14.60.66.5s<br>21.80.68.2s<br>28.20.49.9s<br>33.30.211.4s |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 8.50.6<br>19.20.6<br>28.80.7<br>36.20.6<br>44.10.6 | 5.70.93.6ms<br>15.30.76.7ms<br>24.11.510.8ms<br>30.60.713.4ms<br>38.00.515.7ms | 6.80.55.7s<br>16.70.58.3s<br>25.00.411.1s<br>31.70.713.0s<br>38.30.315.6s |\n| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 5.60.5<br>12.00.4<br>17.00.7<br>21.80.6<br>25.80.3 | 2.20.42.7ms<br>7.50.63.5ms<br>12.70.65.0ms<br>17.10.67.6ms<br>21.50.410.1ms | 3.50.34.2s<br>9.20.45.6s<br>13.80.76.7s<br>18.00.57.7s<br>21.30.18.7s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 6.30.3<br>13.60.5<br>20.00.5<br>25.90.4<br>30.10.4 | 3.00.43.1ms<br>8.80.94.6ms<br>15.20.77.3ms<br>19.80.810.6ms<br>24.60.413.6ms | 4.40.45.1s<br>10.90.56.9s<br>16.40.38.4s<br>21.30.510.7s<br>25.10.311.5s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 6.90.4<br>15.30.3<br>22.80.4<br>28.80.7<br>34.60.2 | 3.50.33.8ms<br>10.61.05.8ms<br>17.10.99.9ms<br>22.70.813.9ms<br>28.80.717.9ms | 5.20.36.7s<br>12.50.58.4s<br>18.80.511.4s<br>24.20.512.8s<br>28.80.215.2s |",0]
["| “Thisplaceisthesharingdesk.” | “Thisisthemeetingspace.” |\n| --- | --- |\n| kochira\\|ga\\|kyouyuuseki\\|ni\\|nari\\|masu | koko\\|wa\\|miitiNgusupeisu\\|desu |\n| a\\|kochiragagyoyusekiNni\\|narimasu | kokowaga\\|midigisupesudesujoouya |\n| kochira\\|ga\\|kyouyuseki\\|ninarimasu | kokowa\\|miriiNgusupesu\\|desu |","| uo\\|kochi\\|ra\\|ga\\|kyoyuseki\\|nina\\|ri\\|ma\\|su | kowa\\|midigyusu\\|pesu\\|desu |\n| --- | --- |\n| ochiraga\\|kyoyuseki\\|ninarimasu | gokoga\\|miidiNgusupesu\\|desu |",1]
["| “Thisplaceisthesharingdesk.” | “Thisisthemeetingspace.” |\n| --- | --- |\n| kochira\\|ga\\|kyouyuuseki\\|ni\\|nari\\|masu | koko\\|wa\\|miitiNgusupeisu\\|desu |\n| a\\|kochiragagyoyusekiNni\\|narimasu | kokowaga\\|midigisupesudesujoouya |\n| kochira\\|ga\\|kyouyuseki\\|ninarimasu | kokowa\\|miriiNgusupesu\\|desu |","| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |\n| --- | --- | --- | --- | --- |\n| ataeru | give | 136 | 4 | 66.9 |\n| kakeru | hang | 160 | 29 | 25.6 |\n| kuwaeru | add | 167 | 5 | 53.9 |\n| noru | ride | 126 | 10 | 45.2 |\n| osameru | govern | 108 | 8 | 25.0 |\n| tsukuru | make | 126 | 15 | 19.8 |\n| toru | take | 84 | 29 | 26.2 |\n| umu | bearoﬀspring | 90 | 2 | 81.1 |\n| wakaru | understand | 60 | 5 | 48.3 |\n| yameru | stop | 54 | 2 | 59.3 |\n| total | — | 1111 | — | 43.7 |",0]
["| “Thisplaceisthesharingdesk.” | “Thisisthemeetingspace.” |\n| --- | --- |\n| kochira\\|ga\\|kyouyuuseki\\|ni\\|nari\\|masu | koko\\|wa\\|miitiNgusupeisu\\|desu |","| a\\|kochiragagyoyusekiNni\\|narimasu | kokowaga\\|midigisupesudesujoouya |\n| --- | --- |\n| kochira\\|ga\\|kyouyuseki\\|ninarimasu | kokowa\\|miriiNgusupesu\\|desu |\n| uo\\|kochi\\|ra\\|ga\\|kyoyuseki\\|nina\\|ri\\|ma\\|su | kowa\\|midigyusu\\|pesu\\|desu |\n| ochiraga\\|kyoyuseki\\|ninarimasu | gokoga\\|miidiNgusupesu\\|desu |",1]
["| “Thisplaceisthesharingdesk.” | “Thisisthemeetingspace.” |\n| --- | --- |\n| kochira\\|ga\\|kyouyuuseki\\|ni\\|nari\\|masu | koko\\|wa\\|miitiNgusupeisu\\|desu |","| osameru | govern | 108 | 8 | 25.0 |\n| --- | --- | --- | --- | --- |\n| tsukuru | make | 126 | 15 | 19.8 |\n| toru | take | 84 | 29 | 26.2 |\n| umu | bearoﬀspring | 90 | 2 | 81.1 |\n| wakaru | understand | 60 | 5 | 48.3 |\n| yameru | stop | 54 | 2 | 59.3 |\n| total | — | 1111 | — | 43.7 |",0]
["| Inputtype | Acc | JGM | GoogleIT | KNPTC |\n| --- | --- | --- | --- | --- |\n| CP | W-Acc | 99.86 | 99.89 | 99.83 |\n| S-Acc | 99.51 | 99.78 | 99.64 |  |\n| LAP | W-Acc | 55.06 | 90.19 | 93.11 |","| S-Acc | 0 | 78.20 | 83.40 |  |\n| --- | --- | --- | --- | --- |\n| GAP | W-Acc | 17.01 | 61.78 | 62.94 |\n| S-Acc | 0 | 35.77 | 31.18 |  |\n| MP | W-Acc | 68.11 | 50.90 | 95.19 |\n| S-Acc | 47.84 | 11.58 | 88.87 |  |\n| MIX | W-Acc | 68.69 | 84.09 | 91.25 |\n| S-Acc | 44.85 | 70.58 | 83.22 |  |",1]
["| Inputtype | Acc | JGM | GoogleIT | KNPTC |\n| --- | --- | --- | --- | --- |\n| CP | W-Acc | 99.86 | 99.89 | 99.83 |\n| S-Acc | 99.51 | 99.78 | 99.64 |  |\n| LAP | W-Acc | 55.06 | 90.19 | 93.11 |","| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["| Inputtype | Acc | JGM | GoogleIT | KNPTC |\n| --- | --- | --- | --- | --- |\n| CP | W-Acc | 99.86 | 99.89 | 99.83 |\n| S-Acc | 99.51 | 99.78 | 99.64 |  |\n| LAP | W-Acc | 55.06 | 90.19 | 93.11 |","| S-Acc | 0 | 78.20 | 83.40 |  |\n| --- | --- | --- | --- | --- |\n| GAP | W-Acc | 17.01 | 61.78 | 62.94 |\n| S-Acc | 0 | 35.77 | 31.18 |  |\n| MP | W-Acc | 68.11 | 50.90 | 95.19 |\n| S-Acc | 47.84 | 11.58 | 88.87 |  |\n| MIX | W-Acc | 68.69 | 84.09 | 91.25 |\n| S-Acc | 44.85 | 70.58 | 83.22 |  |",1]
["| Inputtype | Acc | JGM | GoogleIT | KNPTC |\n| --- | --- | --- | --- | --- |\n| CP | W-Acc | 99.86 | 99.89 | 99.83 |\n| S-Acc | 99.51 | 99.78 | 99.64 |  |\n| LAP | W-Acc | 55.06 | 90.19 | 93.11 |","| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["| methods | accuracy |\n| --- | --- |\n| LBPmultishot | 0.8517±0.0061 |\n| LDML-MkNN | 0.8750±0.0040 |\n| LBP+PLDA | 0.8733±0.0055 |\n| high-dimLBP | 0.9318±0.0107 |\n| Fishervectorfaces | 0.9303±0.0105 |","| ConvNet+RBM | 0.9175±0.0048 |\n| --- | --- |\n| Networkfusion+JB | 0.8763±0.0064 |",1]
["| methods | accuracy |\n| --- | --- |\n| LBPmultishot | 0.8517±0.0061 |\n| LDML-MkNN | 0.8750±0.0040 |\n| LBP+PLDA | 0.8733±0.0055 |\n| high-dimLBP | 0.9318±0.0107 |\n| Fishervectorfaces | 0.9303±0.0105 |","| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.9267 | 0.922 | 0.9243 |\n| HyMap | 0.6851 | 0.8600 | 0.7626 |\n| ConvNetCNN3 | 0.856 | 0.867 | 0.8615 |\n| MCTA | 0.8701 | 0.8834 | 0.8767 |\n| TVIA | 0.8224 | 0.8641 | 0.8427 |",0]
["| methods | accuracy |\n| --- | --- |\n| LBPmultishot | 0.8517±0.0061 |\n| LDML-MkNN | 0.8750±0.0040 |\n| LBP+PLDA | 0.8733±0.0055 |\n| high-dimLBP | 0.9318±0.0107 |","| Fishervectorfaces | 0.9303±0.0105 |\n| --- | --- |\n| ConvNet+RBM | 0.9175±0.0048 |\n| Networkfusion+JB | 0.8763±0.0064 |",1]
["| methods | accuracy |\n| --- | --- |\n| LBPmultishot | 0.8517±0.0061 |\n| LDML-MkNN | 0.8750±0.0040 |\n| LBP+PLDA | 0.8733±0.0055 |\n| high-dimLBP | 0.9318±0.0107 |","| MCTA | 0.8701 | 0.8834 | 0.8767 |\n| --- | --- | --- | --- |\n| TVIA | 0.8224 | 0.8641 | 0.8427 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| langford-<br>2-9(unsat) | t<br>n | 42,8<br>65098 | 48,5(44,1)<br>64571(59038) | 52,2<br>68901 | 65,5<br>73477 | 70<br>52174 | 73,8<br>53201 | 46,9<br>62171 | 48,2<br>60780 |\n| langford-<br>2-10(unsat) | t<br>n | 364,5<br>453103 | 380(374,2)<br>422742(417227) | 431,2<br>481909 | 406,9<br>458285 | 660,6<br>494407 | 530,7<br>479092 | 402,2<br>435599 | 395,2<br>428681 |\n| langford-<br>3-11(unsat) | t<br>n | 584,8<br>140168 | 673,2(621)<br>134133(126991) | 632,8<br>140391 | 1094<br>174418 | 1917<br>200558 | 1531<br>187091 | 726,6<br>141734 | 676,8<br>138919 |\n| langford-<br>4-10(unsat) | t<br>n | 65,9<br>5438 | 238,2(65,3)<br>14024(4582) | 101,3<br>5099 | 183,4<br>9257 | 289,3<br>9910 | 301,1<br>9910 | 106,7<br>7362 | 70,3<br>5031 |","| driver-<br>8c(sat) | t<br>n | 13,6<br>4500 | 43,1(0,7)<br>9460(420) | 31,2<br>3110 | 27,8<br>431 | 31,2<br>429 | 31,1<br>429 | 1,3<br>660 | 1,4<br>632 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| driver-9<br>(sat) | t<br>n | 262,3<br>58759 | 305,2(219,7)<br>58060(46413) | 201,1<br>18581 | >1h<br>– | 1409<br>19668 | 2121<br>60291 | 123,5<br>13657 | 167,9<br>20554 |\n| will199-5<br>(unsat) | t<br>n | 1,4<br>577 | 17(1,7)<br>13060(726) | 5,2<br>650 | >1h<br>– | >1h<br>– | >1h<br>– | 1,7<br>538 | 2,1<br>582 |\n| will199-6<br>(unsat) | t<br>n | 15,8<br>4288 | 42,9(21,9)<br>22792(5763) | 30,1<br>4582 | >1h<br>– | >1h<br>– | >1h<br>– | 12,7<br>2852 | 13,4<br>2846 |\n| ash608-4<br>(sat) | t<br>n | 3,3<br>3146 | 20,1(1,8)<br>21346(1823) | 81,3<br>2291 | 35,1<br>3860 | 136,2<br>2452 | 123,3<br>2293 | 2,6<br>2586 | 1,2<br>1266 |\n| ash958-4<br>(sat) | t<br>n | 12,8<br>8369 | 36,8(3)<br>27322(1992) | 299,2<br>3870 | 111,4<br>5105 | >1h<br>– | >1h<br>– | 11,6<br>7399 | 1,2<br>1266 |\n| ash313-5<br>(unsat) | t<br>n | 18,2<br>512 | 134,7(18,4)<br>10204(512) | 43,2<br>512 | 172,2<br>512 | 442,1<br>512 | 489,7<br>512 | 19,4<br>512 | 19<br>512 |\n| ash313-7<br>(unsat) | t<br>n | 828,4<br>20587 | 1011(809,6)<br>35135(19990) | 1271<br>20139 | 1015<br>20539 | >1h<br>– | >1h<br>– | 995,7<br>20411 | 1056<br>20406 |\n| Averagedcputime | t | 184,4 | 245,8 | 264,9 | – | – | – | 204,2 | 204,3 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| langford-<br>2-9(unsat) | t<br>n | 42,8<br>65098 | 48,5(44,1)<br>64571(59038) | 52,2<br>68901 | 65,5<br>73477 | 70<br>52174 | 73,8<br>53201 | 46,9<br>62171 | 48,2<br>60780 |\n| langford-<br>2-10(unsat) | t<br>n | 364,5<br>453103 | 380(374,2)<br>422742(417227) | 431,2<br>481909 | 406,9<br>458285 | 660,6<br>494407 | 530,7<br>479092 | 402,2<br>435599 | 395,2<br>428681 |\n| langford-<br>3-11(unsat) | t<br>n | 584,8<br>140168 | 673,2(621)<br>134133(126991) | 632,8<br>140391 | 1094<br>174418 | 1917<br>200558 | 1531<br>187091 | 726,6<br>141734 | 676,8<br>138919 |\n| langford-<br>4-10(unsat) | t<br>n | 65,9<br>5438 | 238,2(65,3)<br>14024(4582) | 101,3<br>5099 | 183,4<br>9257 | 289,3<br>9910 | 301,1<br>9910 | 106,7<br>7362 | 70,3<br>5031 |","| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |\n| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| langford-<br>2-9(unsat) | t<br>n | 42,8<br>65098 | 48,5(44,1)<br>64571(59038) | 52,2<br>68901 | 65,5<br>73477 | 70<br>52174 | 73,8<br>53201 | 46,9<br>62171 | 48,2<br>60780 |\n| langford-<br>2-10(unsat) | t<br>n | 364,5<br>453103 | 380(374,2)<br>422742(417227) | 431,2<br>481909 | 406,9<br>458285 | 660,6<br>494407 | 530,7<br>479092 | 402,2<br>435599 | 395,2<br>428681 |\n| langford-<br>3-11(unsat) | t<br>n | 584,8<br>140168 | 673,2(621)<br>134133(126991) | 632,8<br>140391 | 1094<br>174418 | 1917<br>200558 | 1531<br>187091 | 726,6<br>141734 | 676,8<br>138919 |\n| langford-<br>4-10(unsat) | t<br>n | 65,9<br>5438 | 238,2(65,3)<br>14024(4582) | 101,3<br>5099 | 183,4<br>9257 | 289,3<br>9910 | 301,1<br>9910 | 106,7<br>7362 | 70,3<br>5031 |\n| driver-<br>8c(sat) | t<br>n | 13,6<br>4500 | 43,1(0,7)<br>9460(420) | 31,2<br>3110 | 27,8<br>431 | 31,2<br>429 | 31,1<br>429 | 1,3<br>660 | 1,4<br>632 |\n| driver-9<br>(sat) | t<br>n | 262,3<br>58759 | 305,2(219,7)<br>58060(46413) | 201,1<br>18581 | >1h<br>– | 1409<br>19668 | 2121<br>60291 | 123,5<br>13657 | 167,9<br>20554 |\n| will199-5<br>(unsat) | t<br>n | 1,4<br>577 | 17(1,7)<br>13060(726) | 5,2<br>650 | >1h<br>– | >1h<br>– | >1h<br>– | 1,7<br>538 | 2,1<br>582 |","| will199-6<br>(unsat) | t<br>n | 15,8<br>4288 | 42,9(21,9)<br>22792(5763) | 30,1<br>4582 | >1h<br>– | >1h<br>– | >1h<br>– | 12,7<br>2852 | 13,4<br>2846 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ash608-4<br>(sat) | t<br>n | 3,3<br>3146 | 20,1(1,8)<br>21346(1823) | 81,3<br>2291 | 35,1<br>3860 | 136,2<br>2452 | 123,3<br>2293 | 2,6<br>2586 | 1,2<br>1266 |\n| ash958-4<br>(sat) | t<br>n | 12,8<br>8369 | 36,8(3)<br>27322(1992) | 299,2<br>3870 | 111,4<br>5105 | >1h<br>– | >1h<br>– | 11,6<br>7399 | 1,2<br>1266 |\n| ash313-5<br>(unsat) | t<br>n | 18,2<br>512 | 134,7(18,4)<br>10204(512) | 43,2<br>512 | 172,2<br>512 | 442,1<br>512 | 489,7<br>512 | 19,4<br>512 | 19<br>512 |\n| ash313-7<br>(unsat) | t<br>n | 828,4<br>20587 | 1011(809,6)<br>35135(19990) | 1271<br>20139 | 1015<br>20539 | >1h<br>– | >1h<br>– | 995,7<br>20411 | 1056<br>20406 |\n| Averagedcputime | t | 184,4 | 245,8 | 264,9 | – | – | – | 204,2 | 204,3 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| langford-<br>2-9(unsat) | t<br>n | 42,8<br>65098 | 48,5(44,1)<br>64571(59038) | 52,2<br>68901 | 65,5<br>73477 | 70<br>52174 | 73,8<br>53201 | 46,9<br>62171 | 48,2<br>60780 |\n| langford-<br>2-10(unsat) | t<br>n | 364,5<br>453103 | 380(374,2)<br>422742(417227) | 431,2<br>481909 | 406,9<br>458285 | 660,6<br>494407 | 530,7<br>479092 | 402,2<br>435599 | 395,2<br>428681 |\n| langford-<br>3-11(unsat) | t<br>n | 584,8<br>140168 | 673,2(621)<br>134133(126991) | 632,8<br>140391 | 1094<br>174418 | 1917<br>200558 | 1531<br>187091 | 726,6<br>141734 | 676,8<br>138919 |\n| langford-<br>4-10(unsat) | t<br>n | 65,9<br>5438 | 238,2(65,3)<br>14024(4582) | 101,3<br>5099 | 183,4<br>9257 | 289,3<br>9910 | 301,1<br>9910 | 106,7<br>7362 | 70,3<br>5031 |\n| driver-<br>8c(sat) | t<br>n | 13,6<br>4500 | 43,1(0,7)<br>9460(420) | 31,2<br>3110 | 27,8<br>431 | 31,2<br>429 | 31,1<br>429 | 1,3<br>660 | 1,4<br>632 |\n| driver-9<br>(sat) | t<br>n | 262,3<br>58759 | 305,2(219,7)<br>58060(46413) | 201,1<br>18581 | >1h<br>– | 1409<br>19668 | 2121<br>60291 | 123,5<br>13657 | 167,9<br>20554 |\n| will199-5<br>(unsat) | t<br>n | 1,4<br>577 | 17(1,7)<br>13060(726) | 5,2<br>650 | >1h<br>– | >1h<br>– | >1h<br>– | 1,7<br>538 | 2,1<br>582 |","| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| Approach/setup | fr1/desk2<br>[m/s][deg/s] | fr1/desk<br>[m/s][deg/s] | fr2/desk<br>[m/s][deg/s] | fr2/person<br>[m/s][deg/s] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DVO(asreportedinpaper) | 0.0687 | - | 0.0491 | - | 0.0188 | - | 0.0345 | - |","| DVO(implementation) | 0.0700 | 5.14 | 0.0580 | 3.83 | 0.0318 | 1.15 | 0.0360 | 0.99 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ourapproach | 0.0920 | 5.14 | 0.0614 | 3.32 | 0.0365 | 1.65 | 0.0481 | 1.45 |\n| DVO(withoutintensitycue) | - | - | - | - | - | - | - | - |\n| Ourapproach(withoutintensitycue) | 0.1073 | 5.20 | 0.0630 | 3.66 | 0.0329 | 1.52 | 0.0411 | 1.27 |",1]
["| Approach/setup | fr1/desk2<br>[m/s][deg/s] | fr1/desk<br>[m/s][deg/s] | fr2/desk<br>[m/s][deg/s] | fr2/person<br>[m/s][deg/s] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DVO(asreportedinpaper) | 0.0687 | - | 0.0491 | - | 0.0188 | - | 0.0345 | - |","| Method | PP | CP | LR | LC |\n| --- | --- | --- | --- | --- |\n| tﬁdf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |\n| tﬁdf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |\n| tﬁdf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |\n| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |\n| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |\n| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 |\n| node(4100+2810) | 41.54 | 74.68 | 86.65 | 22.34 |\n| comb-2(8000) | 45.64 | 77.26 | 88.86 | 24.57 |\n| comb-2(6000) | 46.68 | 75.74 | 87.67 | 25.08 |\n| comb-2(10000) | 42.82 | 75.83 | 87.62 | 23.08 |",0]
["| Approach/setup | fr1/desk2<br>[m/s][deg/s] | fr1/desk<br>[m/s][deg/s] | fr2/desk<br>[m/s][deg/s] | fr2/person<br>[m/s][deg/s] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DVO(asreportedinpaper) | 0.0687 | - | 0.0491 | - | 0.0188 | - | 0.0345 | - |\n| DVO(implementation) | 0.0700 | 5.14 | 0.0580 | 3.83 | 0.0318 | 1.15 | 0.0360 | 0.99 |\n| Ourapproach | 0.0920 | 5.14 | 0.0614 | 3.32 | 0.0365 | 1.65 | 0.0481 | 1.45 |","| DVO(withoutintensitycue) | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ourapproach(withoutintensitycue) | 0.1073 | 5.20 | 0.0630 | 3.66 | 0.0329 | 1.52 | 0.0411 | 1.27 |",1]
["| Approach/setup | fr1/desk2<br>[m/s][deg/s] | fr1/desk<br>[m/s][deg/s] | fr2/desk<br>[m/s][deg/s] | fr2/person<br>[m/s][deg/s] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DVO(asreportedinpaper) | 0.0687 | - | 0.0491 | - | 0.0188 | - | 0.0345 | - |\n| DVO(implementation) | 0.0700 | 5.14 | 0.0580 | 3.83 | 0.0318 | 1.15 | 0.0360 | 0.99 |\n| Ourapproach | 0.0920 | 5.14 | 0.0614 | 3.32 | 0.0365 | 1.65 | 0.0481 | 1.45 |","| comb-2(8000) | 45.64 | 77.26 | 88.86 | 24.57 |\n| --- | --- | --- | --- | --- |\n| comb-2(6000) | 46.68 | 75.74 | 87.67 | 25.08 |\n| comb-2(10000) | 42.82 | 75.83 | 87.62 | 23.08 |",0]
["| Player | Mean | Min. | Max. | Std.Dev. |\n| --- | --- | --- | --- | --- |\n| HelloWorldAI | 12735 | 3290 | 32780 | 6759 |\n| Ensemble(Emu3safe) | 39297 | 4540 | 68910 | 14943 |\n| Ensemble(Emu3slow) | 71259 | 9360 | 136310 | 26383 |\n| Ensemble(Sim3safe) | 46672 | 6250 | 109190 | 21528 |\n| Ensemble(Sim8safe) | 51447 | 13600 | 105440 | 19175 |\n| Ensemble(Sim20safe) | 55843 | 15350 | 101660 | 21258 |\n| MCTS(symmetric) | 57151 | 5260 | 95560 | 17068 |","| MCTS(asymmetric) | 58058 | 19500 | 96120 | 16155 |\n| --- | --- | --- | --- | --- |\n| NoFruitEnsemble | 69779 | 21990 | 105770 | 22236 |\n| FinalEnsemble | 102238 | 8060 | 155640 | 29520 |\n| SimOnlyEnsemble | 74820 | 9160 | 124440 | 25573 |",1]
["| Player | Mean | Min. | Max. | Std.Dev. |\n| --- | --- | --- | --- | --- |\n| HelloWorldAI | 12735 | 3290 | 32780 | 6759 |\n| Ensemble(Emu3safe) | 39297 | 4540 | 68910 | 14943 |\n| Ensemble(Emu3slow) | 71259 | 9360 | 136310 | 26383 |\n| Ensemble(Sim3safe) | 46672 | 6250 | 109190 | 21528 |\n| Ensemble(Sim8safe) | 51447 | 13600 | 105440 | 19175 |\n| Ensemble(Sim20safe) | 55843 | 15350 | 101660 | 21258 |\n| MCTS(symmetric) | 57151 | 5260 | 95560 | 17068 |","| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |\n| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |\n| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |\n| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |\n| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["| Player | Mean | Min. | Max. | Std.Dev. |\n| --- | --- | --- | --- | --- |\n| HelloWorldAI | 12735 | 3290 | 32780 | 6759 |","| Ensemble(Emu3safe) | 39297 | 4540 | 68910 | 14943 |\n| --- | --- | --- | --- | --- |\n| Ensemble(Emu3slow) | 71259 | 9360 | 136310 | 26383 |\n| Ensemble(Sim3safe) | 46672 | 6250 | 109190 | 21528 |\n| Ensemble(Sim8safe) | 51447 | 13600 | 105440 | 19175 |\n| Ensemble(Sim20safe) | 55843 | 15350 | 101660 | 21258 |\n| MCTS(symmetric) | 57151 | 5260 | 95560 | 17068 |\n| MCTS(asymmetric) | 58058 | 19500 | 96120 | 16155 |\n| NoFruitEnsemble | 69779 | 21990 | 105770 | 22236 |\n| FinalEnsemble | 102238 | 8060 | 155640 | 29520 |\n| SimOnlyEnsemble | 74820 | 9160 | 124440 | 25573 |",1]
["| Player | Mean | Min. | Max. | Std.Dev. |\n| --- | --- | --- | --- | --- |\n| HelloWorldAI | 12735 | 3290 | 32780 | 6759 |","| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| --- | --- | --- | --- | --- | --- |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["|  | CPD | WP |  |  |\n| --- | --- | --- | --- | --- |\n| AP | DT(ms) | AP | DT(ms) |  |\n| SSD500 | 0.405 | 128 | 0.255 | 570 |\n| SSD300 | 0.400 | 74 | 0.264 | 530 |","| YOLOv2 | 0.398 | 70 | 0.261 | 790 |\n| --- | --- | --- | --- | --- |\n| Ourmethod | 0.503 | 243 | 0.379 | 619 |",1]
["|  | CPD | WP |  |  |\n| --- | --- | --- | --- | --- |\n| AP | DT(ms) | AP | DT(ms) |  |\n| SSD500 | 0.405 | 128 | 0.255 | 570 |\n| SSD300 | 0.400 | 74 | 0.264 | 530 |","| Objectiveevaluation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | SSIM | PSNR | MSE | MI | UIQI |\n| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |\n| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |\n| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |\n| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |\n| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |\n| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",0]
["|  | CPD | WP |  |\n| --- | --- | --- | --- |\n| AP | DT(ms) | AP | DT(ms) |","| SSD500 | 0.405 | 128 | 0.255 | 570 |\n| --- | --- | --- | --- | --- |\n| SSD300 | 0.400 | 74 | 0.264 | 530 |\n| YOLOv2 | 0.398 | 70 | 0.261 | 790 |\n| Ourmethod | 0.503 | 243 | 0.379 | 619 |",1]
["|  | CPD | WP |  |\n| --- | --- | --- | --- |\n| AP | DT(ms) | AP | DT(ms) |","| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |\n| --- | --- | --- | --- | --- | --- |\n| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |\n| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",0]
["| q | Example1 | Example2 | Example3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| E1 | E2 | E1 | E2 | E1 | E2 |  |\n| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |\n| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |\n| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |\n| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |\n| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |\n| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |\n| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |\n| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |\n| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |","| 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 |",1]
["| q | Example1 | Example2 | Example3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| E1 | E2 | E1 | E2 | E1 | E2 |  |\n| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |\n| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |\n| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |\n| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |\n| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |\n| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |\n| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |\n| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |\n| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |","| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |\n| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |\n| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |\n| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |\n| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",0]
["| q | Example1 | Example2 | Example3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| E1 | E2 | E1 | E2 | E1 | E2 |  |\n| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |\n| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |\n| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |\n| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |\n| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |\n| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |","| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |\n| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |\n| 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |\n| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 |",1]
["| q | Example1 | Example2 | Example3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| E1 | E2 | E1 | E2 | E1 | E2 |  |\n| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |\n| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |\n| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |\n| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |\n| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |\n| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |","| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",0]
["| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 |","| PCA | 256<br>512 | 60.48<br>60.37 | 66.55<br>66.78 | 74.63<br>74.76 | 79.09<br>79.27 | 76.38<br>77.15 | 79.32<br>79.50 | 87.82<br>87.46 | 89.75<br>89.71 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVD | 256<br>512 | 60.34<br>60.41 | 66.57<br>66.82 | 74.79<br>74.72 | 79.27<br>79.26 | 76.79<br>77.10 | 79.32<br>79.48 | 87.84<br>87.41 | 89.79<br>89.72 |\n| SVD+whitening | 256<br>512 | 62.29<br>62.13 | 68.16<br>68.13 | 71.57<br>71.07 | 76.68<br>76.06 | 80.74<br>81.44 | 82.42<br>82.82 | 85.47<br>85.23 | 87.99<br>87.62 |",1]
["| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 |","| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- |\n| 27.44 | 43.01 | 50.82 |\n| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |\n| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 |",0]
["| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 |","| PCA | 256<br>512 | 60.48<br>60.37 | 66.55<br>66.78 | 74.63<br>74.76 | 79.09<br>79.27 | 76.38<br>77.15 | 79.32<br>79.50 | 87.82<br>87.46 | 89.75<br>89.71 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVD | 256<br>512 | 60.34<br>60.41 | 66.57<br>66.82 | 74.79<br>74.72 | 79.27<br>79.26 | 76.79<br>77.10 | 79.32<br>79.48 | 87.84<br>87.41 | 89.79<br>89.72 |\n| SVD+whitening | 256<br>512 | 62.29<br>62.13 | 68.16<br>68.13 | 71.57<br>71.07 | 76.68<br>76.06 | 80.74<br>81.44 | 82.42<br>82.82 | 85.47<br>85.23 | 87.99<br>87.62 |",1]
["| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 |","| 27.44 | 43.01 | 50.82 |\n| --- | --- | --- |\n| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |\n| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 |",0]
["| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |\n| --- | --- | --- | --- | --- |\n| April | 5.02 | 4.22 | 0.53 | 0.43 |\n| May | 8.30 | 7.22 | 0.56 | 0.46 |\n| June | 6.89 | 5.59 | 0.51 | 0.41 |\n| July | 7.41 | 6.21 | 0.47 | 0.37 |\n| Aug | 8.37 | 7.57 | 0.47 | 0.37 |","| Sep | 7.30 | 6.40 | 0.45 | 0.35 |\n| --- | --- | --- | --- | --- |\n| Oct | 4.62 | 3.68 | 0.47 | 0.37 |\n| Nov | 7.26 | 6.28 | 0.44 | 0.34 |\n| Dec | 6.88 | 5.88 | 0.43 | 0.35 |\n| Jan | 7.20 | 8.26 | 0.44 | 0.36 |\n| Feb | 6.26 | 4.26 | 0.44 | 0.35 |\n| Mar | 7.26 | 5.26 | 0.44 | 0.38 |",1]
["| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |\n| --- | --- | --- | --- | --- |\n| April | 5.02 | 4.22 | 0.53 | 0.43 |\n| May | 8.30 | 7.22 | 0.56 | 0.46 |\n| June | 6.89 | 5.59 | 0.51 | 0.41 |\n| July | 7.41 | 6.21 | 0.47 | 0.37 |\n| Aug | 8.37 | 7.57 | 0.47 | 0.37 |","| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |\n| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |\n| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |\n| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |\n| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |\n| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |\n| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |",0]
["| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |\n| --- | --- | --- | --- | --- |\n| April | 5.02 | 4.22 | 0.53 | 0.43 |\n| May | 8.30 | 7.22 | 0.56 | 0.46 |","| June | 6.89 | 5.59 | 0.51 | 0.41 |\n| --- | --- | --- | --- | --- |\n| July | 7.41 | 6.21 | 0.47 | 0.37 |\n| Aug | 8.37 | 7.57 | 0.47 | 0.37 |\n| Sep | 7.30 | 6.40 | 0.45 | 0.35 |\n| Oct | 4.62 | 3.68 | 0.47 | 0.37 |\n| Nov | 7.26 | 6.28 | 0.44 | 0.34 |\n| Dec | 6.88 | 5.88 | 0.43 | 0.35 |\n| Jan | 7.20 | 8.26 | 0.44 | 0.36 |\n| Feb | 6.26 | 4.26 | 0.44 | 0.35 |\n| Mar | 7.26 | 5.26 | 0.44 | 0.38 |",1]
["| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |\n| --- | --- | --- | --- | --- |\n| April | 5.02 | 4.22 | 0.53 | 0.43 |\n| May | 8.30 | 7.22 | 0.56 | 0.46 |","| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |",0]
["| Method | Embeddings | senC | semC | µ |\n| --- | --- | --- | --- | --- |\n| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>ﬂickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 |","| 2-stagenoun<br>2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=5)<br>wikirw(w=5)<br>ﬂickr(w=5)<br>gnews(w=5) | 0.534<br>0.510<br>0.526<br>0.309 | 0.586<br>0.614<br>0.513<br>0.569 | 0.560<br>0.562<br>0.519<br>0.439 |\n| --- | --- | --- | --- | --- |\n| 2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=10)<br>wikirw(w=10)<br>ﬂickr(w=10) | 0.483<br>0.476<br>0.459 | 0.567<br>0.536<br>0.536 | 0.524<br>0.506<br>0.497 |\n| 2-stageadj<br>2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=5)<br>wikirw(w=5)<br>ﬂickr(w=5)<br>gnews(w=5) | 0.581<br>0.472<br>0.455<br>0.178 | 0.930<br>0.560<br>0.519<br>0.522 | 0.755<br>0.516<br>0.487<br>0.350 |\n| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=10)<br>wikirw-anp(w=10)<br>ﬂickr-anp(w=10) | 0.240<br>0.257<br>0.262 | 0.576<br>0.508<br>0.489 | 0.408<br>0.382<br>0.375 |\n| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=5)<br>wikirw-anp(w=5)<br>ﬂickr-anp(w=5) | 0.250<br>0.281<br>0.280 | 0.583<br>0.522<br>0.502 | 0.416<br>0.402<br>0.391 |",1]
["| Method | Embeddings | senC | semC | µ |\n| --- | --- | --- | --- | --- |\n| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>ﬂickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 |","| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |\n| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |\n| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |\n| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |\n| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |\n| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 |",0]
["| Method | Embeddings | senC | semC | µ |\n| --- | --- | --- | --- | --- |\n| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>ﬂickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 |\n| 2-stagenoun<br>2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=5)<br>wikirw(w=5)<br>ﬂickr(w=5)<br>gnews(w=5) | 0.534<br>0.510<br>0.526<br>0.309 | 0.586<br>0.614<br>0.513<br>0.569 | 0.560<br>0.562<br>0.519<br>0.439 |","| 2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=10)<br>wikirw(w=10)<br>ﬂickr(w=10) | 0.483<br>0.476<br>0.459 | 0.567<br>0.536<br>0.536 | 0.524<br>0.506<br>0.497 |\n| --- | --- | --- | --- | --- |\n| 2-stageadj<br>2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=5)<br>wikirw(w=5)<br>ﬂickr(w=5)<br>gnews(w=5) | 0.581<br>0.472<br>0.455<br>0.178 | 0.930<br>0.560<br>0.519<br>0.522 | 0.755<br>0.516<br>0.487<br>0.350 |\n| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=10)<br>wikirw-anp(w=10)<br>ﬂickr-anp(w=10) | 0.240<br>0.257<br>0.262 | 0.576<br>0.508<br>0.489 | 0.408<br>0.382<br>0.375 |\n| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=5)<br>wikirw-anp(w=5)<br>ﬂickr-anp(w=5) | 0.250<br>0.281<br>0.280 | 0.583<br>0.522<br>0.502 | 0.416<br>0.402<br>0.391 |",1]
["| Method | Embeddings | senC | semC | µ |\n| --- | --- | --- | --- | --- |\n| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>ﬂickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 |\n| 2-stagenoun<br>2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=5)<br>wikirw(w=5)<br>ﬂickr(w=5)<br>gnews(w=5) | 0.534<br>0.510<br>0.526<br>0.309 | 0.586<br>0.614<br>0.513<br>0.569 | 0.560<br>0.562<br>0.519<br>0.439 |","| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |\n| --- | --- | --- | --- | --- | --- |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |\n| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |\n| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 |",0]
["| method | Moﬀett | Camargue | Garons |\n| --- | --- | --- | --- |\n| SFIM | 1.26 | 3.47 | 2.74 |\n| MTF-GLP | 1.86 | 4.26 | 4.00 |\n| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |\n| GS | 4.77 | 8.29 | 5.56 |\n| GSA | 5.52 | 8.73 | 5.99 |\n| PCA | 3.46 | 8.92 | 6.09 |","| GFPCA | 2.58 | 8.51 | 4.36 |\n| --- | --- | --- | --- |\n| CNMF | 10.98 | 47.54 | 23.98 |\n| BayesianNaive | 1.31 | 7.35 | 3.07 |\n| BayesianSparse | 133.61 | 485.13 | 259.44 |\n| HySure | 140.05 | 296.27 | 177.60 |",1]
["| method | Moﬀett | Camargue | Garons |\n| --- | --- | --- | --- |\n| SFIM | 1.26 | 3.47 | 2.74 |\n| MTF-GLP | 1.86 | 4.26 | 4.00 |\n| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |\n| GS | 4.77 | 8.29 | 5.56 |\n| GSA | 5.52 | 8.73 | 5.99 |\n| PCA | 3.46 | 8.92 | 6.09 |","| method | CC | SAM | RMSE | ERGAS |\n| --- | --- | --- | --- | --- |\n| SFIM | 0.91886 | 4.2895 | 637.1451 | 3.4159 |\n| MTF-GLP | 0.92397 | 4.3378 | 622.4711 | 3.2666 |\n| MTF-GLP-HPM | 0.92599 | 4.2821 | 611.9161 | 3.2497 |\n| GS | 0.91262 | 4.4982 | 665.0173 | 3.5490 |\n| GSA | 0.92826 | 4.1950 | 587.1322 | 3.1940 |\n| PCA | 0.90350 | 5.1637 | 710.3275 | 3.8680 |\n| GFPCA | 0.89042 | 4.8472 | 745.6006 | 4.0001 |\n| CNMF | 0.9300 | 4.4187 | 591.3190 | 3.1762 |\n| BayesianNaive | 0.95195 | 3.6428 | 489.5634 | 2.6286 |\n| BayesianSparse | 0.95882 | 3.3345 | 448.1721 | 2.4712 |\n| HySure | 0.9465 | 3.8767 | 511.8525 | 2.8181 |",0]
["| method | Moﬀett | Camargue | Garons |\n| --- | --- | --- | --- |\n| SFIM | 1.26 | 3.47 | 2.74 |\n| MTF-GLP | 1.86 | 4.26 | 4.00 |\n| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |\n| GS | 4.77 | 8.29 | 5.56 |","| GSA | 5.52 | 8.73 | 5.99 |\n| --- | --- | --- | --- |\n| PCA | 3.46 | 8.92 | 6.09 |\n| GFPCA | 2.58 | 8.51 | 4.36 |\n| CNMF | 10.98 | 47.54 | 23.98 |\n| BayesianNaive | 1.31 | 7.35 | 3.07 |\n| BayesianSparse | 133.61 | 485.13 | 259.44 |\n| HySure | 140.05 | 296.27 | 177.60 |",1]
["| method | Moﬀett | Camargue | Garons |\n| --- | --- | --- | --- |\n| SFIM | 1.26 | 3.47 | 2.74 |\n| MTF-GLP | 1.86 | 4.26 | 4.00 |\n| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |\n| GS | 4.77 | 8.29 | 5.56 |","| BayesianNaive | 0.95195 | 3.6428 | 489.5634 | 2.6286 |\n| --- | --- | --- | --- | --- |\n| BayesianSparse | 0.95882 | 3.3345 | 448.1721 | 2.4712 |\n| HySure | 0.9465 | 3.8767 | 511.8525 | 2.8181 |",0]
["| Mediumsizedinstances |  |  |\n| --- | --- | --- |\n| graph | n | m |\n| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 |","| bcsstk29<br>4elt<br>fesphere<br>cti<br>memplus<br>cs4<br>pwt<br>bcsstk32<br>body<br>t60k<br>wing<br>ﬁnan512<br>rotor | 13992<br>15606<br>16386<br>16840<br>17758<br>33499<br>36519<br>44609<br>45087<br>60005<br>62032<br>74752<br>99617 | 605496<br>91756<br>98304<br>96464<br>108384<br>87716<br>289588<br>1970092<br>327468<br>178880<br>243088<br>522240<br>1324862 |\n| --- | --- | --- |\n| bel<br>nld | 463514<br>893041 | 1183764<br>2279080 |\n| afshell9 | 504855 | 17084020 |\n| Largeinstances |  |  |\n| rgg20<br>Delaunay20 | 2<br>20<br>2 | 13783240<br>12582744 |\n| fetooth<br>598a<br>ocean<br>144<br>wave<br>m14b<br>auto | 78136<br>110971<br>143437<br>144649<br>156317<br>214765<br>448695 | 905182<br>1483868<br>819186<br>2148786<br>2118662<br>3358036<br>6629222 |\n| deu<br>eur | 4378446<br>18029721 | 10967174<br>44435372 |\n| afshell10 | 1508065 | 51164260 |",1]
["| Mediumsizedinstances |  |  |\n| --- | --- | --- |\n| graph | n | m |\n| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 |","|  |  | ARCORIENTED |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 |\n| s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 |\n| s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 |\n| s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |\n| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |\n| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |",0]
["| Mediumsizedinstances |  |  |\n| --- | --- | --- |\n| graph | n | m |\n| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 |\n| bcsstk29<br>4elt<br>fesphere<br>cti<br>memplus<br>cs4<br>pwt<br>bcsstk32<br>body<br>t60k<br>wing<br>ﬁnan512<br>rotor | 13992<br>15606<br>16386<br>16840<br>17758<br>33499<br>36519<br>44609<br>45087<br>60005<br>62032<br>74752<br>99617 | 605496<br>91756<br>98304<br>96464<br>108384<br>87716<br>289588<br>1970092<br>327468<br>178880<br>243088<br>522240<br>1324862 |\n| bel<br>nld | 463514<br>893041 | 1183764<br>2279080 |\n| afshell9 | 504855 | 17084020 |","| Largeinstances |  |  |\n| --- | --- | --- |\n| rgg20<br>Delaunay20 | 2<br>20<br>2 | 13783240<br>12582744 |\n| fetooth<br>598a<br>ocean<br>144<br>wave<br>m14b<br>auto | 78136<br>110971<br>143437<br>144649<br>156317<br>214765<br>448695 | 905182<br>1483868<br>819186<br>2148786<br>2118662<br>3358036<br>6629222 |\n| deu<br>eur | 4378446<br>18029721 | 10967174<br>44435372 |\n| afshell10 | 1508065 | 51164260 |",1]
["| Mediumsizedinstances |  |  |\n| --- | --- | --- |\n| graph | n | m |\n| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 |\n| bcsstk29<br>4elt<br>fesphere<br>cti<br>memplus<br>cs4<br>pwt<br>bcsstk32<br>body<br>t60k<br>wing<br>ﬁnan512<br>rotor | 13992<br>15606<br>16386<br>16840<br>17758<br>33499<br>36519<br>44609<br>45087<br>60005<br>62032<br>74752<br>99617 | 605496<br>91756<br>98304<br>96464<br>108384<br>87716<br>289588<br>1970092<br>327468<br>178880<br>243088<br>522240<br>1324862 |\n| bel<br>nld | 463514<br>893041 | 1183764<br>2279080 |\n| afshell9 | 504855 | 17084020 |","| s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |\n| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |",0]
["| AccidentType | Documents |\n| --- | --- |\n| Collisions | 55 |\n| Groundings | 44 |\n| Machineryfailures | 21 |","| Fire | 15 |\n| --- | --- |\n| Total | 135 |",1]
["| AccidentType | Documents |\n| --- | --- |\n| Collisions | 55 |\n| Groundings | 44 |\n| Machineryfailures | 21 |","| Sequence | Lanes | Incorrectdetection | Misdetection |\n| --- | --- | --- | --- |\n| 1 | 860 | 0 | 0 |\n| 2 | 594 | 0 | 0 |\n| 3 | 376 | 0 | 0 |\n| 4 | 156 | 0 | 9 |\n| 5 | 678 | 0 | 17 |\n| 6 | 1060 | 14 | 7 |\n| Total | 3724 | 14 | 33 |",0]
["| AccidentType | Documents |\n| --- | --- |\n| Collisions | 55 |\n| Groundings | 44 |\n| Machineryfailures | 21 |","| Fire | 15 |\n| --- | --- |\n| Total | 135 |",1]
["| AccidentType | Documents |\n| --- | --- |\n| Collisions | 55 |\n| Groundings | 44 |\n| Machineryfailures | 21 |","| 4 | 156 | 0 | 9 |\n| --- | --- | --- | --- |\n| 5 | 678 | 0 | 17 |\n| 6 | 1060 | 14 | 7 |\n| Total | 3724 | 14 | 33 |",0]
["| Corpus | Sents | ENtok | ETtok |\n| --- | --- | --- | --- |\n| Opensubs | 10.32 | 83.57 | 67.56 |\n| Europarl | 0.644 | 17.18 | 12.82 |\n| Wiki | 0.135 | 2.281 | 2.089 |","| Other | 7.972 | 169.9 | 143.5 |\n| --- | --- | --- | --- |\n| Total | 19.07 | 272.9 | 225.9 |",1]
["| Corpus | Sents | ENtok | ETtok |\n| --- | --- | --- | --- |\n| Opensubs | 10.32 | 83.57 | 67.56 |\n| Europarl | 0.644 | 17.18 | 12.82 |\n| Wiki | 0.135 | 2.281 | 2.089 |","| lang | uniquetokens | tokens |\n| --- | --- | --- |\n| en | 4.238 | 902.044 |\n| de | 4.233 | 312.380 |\n| fr | 1.749 | 247.492 |\n| ru | 1.766 | 202.163 |\n| it | 1.411 | 178.378 |\n| nl | 2.021 | 105.224 |\n| pt | 0.873 | 96.712 |\n| sv | 1.730 | 82.376 |\n| es | 0.829 | 76.587 |\n| ar | 1.653 | 46.481 |\n| fa | 0.925 | 32.557 |",0]
["| Corpus | Sents | ENtok | ETtok |\n| --- | --- | --- | --- |\n| Opensubs | 10.32 | 83.57 | 67.56 |\n| Europarl | 0.644 | 17.18 | 12.82 |","| Wiki | 0.135 | 2.281 | 2.089 |\n| --- | --- | --- | --- |\n| Other | 7.972 | 169.9 | 143.5 |\n| Total | 19.07 | 272.9 | 225.9 |",1]
["| Corpus | Sents | ENtok | ETtok |\n| --- | --- | --- | --- |\n| Opensubs | 10.32 | 83.57 | 67.56 |\n| Europarl | 0.644 | 17.18 | 12.82 |","| sv | 1.730 | 82.376 |\n| --- | --- | --- |\n| es | 0.829 | 76.587 |\n| ar | 1.653 | 46.481 |\n| fa | 0.925 | 32.557 |",0]
["| No. |\n| --- |\n| 1 |\n| 2 |\n| 3 |","| 4 |\n| --- |\n| 5 |",1]
["| No. |\n| --- |\n| 1 |\n| 2 |\n| 3 |","| 1 | 3 |\n| --- | --- |\n| 2 | 5 |\n| 3 | 10 |\n| 4 | 27 |\n| 5 | 119 |\n| 6 | 1113 |\n| 7 | 29375 |\n| 8 | 2730166 |",0]
["| No. |\n| --- |\n| 1 |","| 2 |\n| --- |\n| 3 |\n| 4 |\n| 5 |",1]
["| No. |\n| --- |\n| 1 |","| 5 | 119 |\n| --- | --- |\n| 6 | 1113 |\n| 7 | 29375 |\n| 8 | 2730166 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |","| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |\n| --- | --- | --- | --- | --- | --- |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |","| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |","| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |\n| --- | --- | --- | --- | --- | --- |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |","| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["| FilterShape |\n| --- |\n| 3×3×3×32 |\n| 3×3×32dw |\n| 1×1×32×64 |\n| 3×3×64dw |\n| 1×1×64×128 |\n| 3×3×128dw |","| 1×1×128×128 |\n| --- |\n| 3×3×128dw |\n| 1×1×128×256 |\n| 3×3×256dw |\n| 1×1×256×256 |\n| 3×3×256dw |\n| 1×1×256×512 |\n| 3×3×512dw<br>1×1×512×512 |\n| 3×3×512dw |\n| 1×1×512×1024 |\n| 3×3×1024dw |\n| 1×1×1024×1024 |\n| Pool7×7 |\n| 1024×64 |\n| Inplace |\n| 1024×162 |\n| Classiﬁer |",1]
["| FilterShape |\n| --- |\n| 3×3×3×32 |\n| 3×3×32dw |\n| 1×1×32×64 |\n| 3×3×64dw |\n| 1×1×64×128 |\n| 3×3×128dw |","| FilterShape |\n| --- |\n| 3×3×51 |\n| 3×3×46 |\n| 3×3×55 |\n| 3×3×85 |\n| 3×3×16 |\n| 3×3×84 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×16 |\n| 3×3×84 |",0]
["| FilterShape |\n| --- |\n| 3×3×3×32 |\n| 3×3×32dw |\n| 1×1×32×64 |\n| 3×3×64dw |\n| 1×1×64×128 |\n| 3×3×128dw |\n| 1×1×128×128 |\n| 3×3×128dw |\n| 1×1×128×256 |\n| 3×3×256dw |","| 1×1×256×256 |\n| --- |\n| 3×3×256dw |\n| 1×1×256×512 |\n| 3×3×512dw<br>1×1×512×512 |\n| 3×3×512dw |\n| 1×1×512×1024 |\n| 3×3×1024dw |\n| 1×1×1024×1024 |\n| Pool7×7 |\n| 1024×64 |\n| Inplace |\n| 1024×162 |\n| Classiﬁer |",1]
["| FilterShape |\n| --- |\n| 3×3×3×32 |\n| 3×3×32dw |\n| 1×1×32×64 |\n| 3×3×64dw |\n| 1×1×64×128 |\n| 3×3×128dw |\n| 1×1×128×128 |\n| 3×3×128dw |\n| 1×1×128×256 |\n| 3×3×256dw |","| 3×3×24 |\n| --- |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×16 |\n| 3×3×84 |",0]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.710.683.39 | 5.39 |\n| MM-λ-p-CPHDD | 2.780.823.60 | 5.97 |\n| MM-CPHD | 2.840.793.63 | 5.61 |\n| MM-PHD | 2.901.083.98 | 6.01 |\n| IMM-JPDA | 1.371.673.04 | 4.21 |","| MHT | 0.813.073.88 | 5.48 |\n| --- | --- | --- |\n| P-Tracker | 0.852.553.40 | 5.20 |\n| U-Tracker | 0.643.364.00 | 4.93 |",1]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.710.683.39 | 5.39 |\n| MM-λ-p-CPHDD | 2.780.823.60 | 5.97 |\n| MM-CPHD | 2.840.793.63 | 5.61 |\n| MM-PHD | 2.901.083.98 | 6.01 |\n| IMM-JPDA | 1.371.673.04 | 4.21 |","| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.520.563.08 | 5.41 |\n| MM-λ-p-CPHDD | 2.640.633.27 | 5.48 |\n| MM-CPHD | 2.391.123.51 | 5.50 |\n| MM-PHD | 2.711.304.01 | 6.55 |\n| IMM-JPDA | 1.542.684.22 | 5.72 |\n| MHT | 1.712.233.94 | 5.67 |\n| P-Tracker | 1.332.704.03 | 6.50 |\n| U-Tracker | 1.851.433.28 | 5.04 |",0]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.710.683.39 | 5.39 |","| MM-λ-p-CPHDD | 2.780.823.60 | 5.97 |\n| --- | --- | --- |\n| MM-CPHD | 2.840.793.63 | 5.61 |\n| MM-PHD | 2.901.083.98 | 6.01 |\n| IMM-JPDA | 1.371.673.04 | 4.21 |\n| MHT | 0.813.073.88 | 5.48 |\n| P-Tracker | 0.852.553.40 | 5.20 |\n| U-Tracker | 0.643.364.00 | 4.93 |",1]
["| Method | LocationCardinalityOSPA | OSPA-T |\n| --- | --- | --- |\n| B-MM-CPHD | 2.710.683.39 | 5.39 |","| P-Tracker | 1.332.704.03 | 6.50 |\n| --- | --- | --- |\n| U-Tracker | 1.851.433.28 | 5.04 |",0]
["| Domain | #Trainingsample |\n| --- | --- |\n| Amazon | 20 |","| DSLR | 8 |\n| --- | --- |\n| Virtual(-Gray) | 30 |\n| ImageNet | 150-2000 |",1]
["| Domain | #Trainingsample |\n| --- | --- |\n| Amazon | 20 |","| Domain | TrainingData |  |  |\n| --- | --- | --- | --- |\n| DImageNet | EVT | E∪DVTImageNet |  |\n| Dog | 65.80 | 67.56 | 70.22 |\n| Bird | 82.00 | 86.24 | 86.41 |\n| Wheeled | 68.95 | 72.20 | 74.59 |\n| Structure | 66.07 | 69.90 | 72.41 |",0]
["| Domain | #Trainingsample |\n| --- | --- |\n| Amazon | 20 |\n| DSLR | 8 |","| Virtual(-Gray) | 30 |\n| --- | --- |\n| ImageNet | 150-2000 |",1]
["| Domain | #Trainingsample |\n| --- | --- |\n| Amazon | 20 |\n| DSLR | 8 |","| Dog | 65.80 | 67.56 | 70.22 |\n| --- | --- | --- | --- |\n| Bird | 82.00 | 86.24 | 86.41 |\n| Wheeled | 68.95 | 72.20 | 74.59 |\n| Structure | 66.07 | 69.90 | 72.41 |",0]
["|  | Mean±Std |  | Mean±Std |\n| --- | --- | --- | --- |\n| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |\n| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 |","| LPQ | 0.9454±0.0044 | DCP-1 | 0.9499±0.0035 |\n| --- | --- | --- | --- |\n| POEM | 0.9500±0.0045 | DCP-2 | 0.9529±0.0034 |\n| LGXP | 0.9369±0.0040 | DCP | 0.9557±0.0044 |\n| MsLBP | 0.9494±0.0037 |  |  |",1]
["|  | Mean±Std |  | Mean±Std |\n| --- | --- | --- | --- |\n| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |\n| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 |","|  | ROCI | ROCII | ROCIII | Mean |\n| --- | --- | --- | --- | --- |\n| LBP | 18.62 | 19.12 | 20.07 | 19.27 |\n| LTP | 20.21 | 21.39 | 22.99 | 21.53 |\n| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |\n| POEM | 29.99 | 30.60 | 31.46 | 30.68 |\n| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |\n| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |\n| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |\n| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |\n| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |\n| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |\n| DCP | 21.78 | 22.49 | 23.59 | 22.62 |",0]
["|  | Mean±Std |  | Mean±Std |\n| --- | --- | --- | --- |\n| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |\n| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 |\n| LPQ | 0.9454±0.0044 | DCP-1 | 0.9499±0.0035 |","| POEM | 0.9500±0.0045 | DCP-2 | 0.9529±0.0034 |\n| --- | --- | --- | --- |\n| LGXP | 0.9369±0.0040 | DCP | 0.9557±0.0044 |\n| MsLBP | 0.9494±0.0037 |  |  |",1]
["|  | Mean±Std |  | Mean±Std |\n| --- | --- | --- | --- |\n| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |\n| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 |\n| LPQ | 0.9454±0.0044 | DCP-1 | 0.9499±0.0035 |","| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |\n| --- | --- | --- | --- | --- |\n| POEM | 29.99 | 30.60 | 31.46 | 30.68 |\n| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |\n| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |\n| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |\n| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |\n| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |\n| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |\n| DCP | 21.78 | 22.49 | 23.59 | 22.62 |",0]
["| R | ∆V | (cid:48)<br>R | Output |\n| --- | --- | --- | --- |\n| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |\n| H(“1”) | V<∆Vth,R1 | H(“0”) | spike |","| H(“0”) | V<∆V<Vth,R2th,S2 | L(ON) | pulse |\n| --- | --- | --- | --- |\n| H(“0”) | ∆V<Vth,R2 | H(“1”) | spike |\n| L(ON) | V<∆Vth,R1 | H(“0”) | – |\n| L(ON) | ∆V<Vth,R2 | H(“1”) | – |",1]
["| R | ∆V | (cid:48)<br>R | Output |\n| --- | --- | --- | --- |\n| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |\n| H(“1”) | V<∆Vth,R1 | H(“0”) | spike |","| h | H | P | N | X |  |\n| --- | --- | --- | --- | --- | --- |\n| h | 2 | -4 | 0 | 0 | 0 |\n| H | -4 | -3 | 0 | 0 | 0 |\n| P | 0 | 0 | 1 | -1 | 0 |\n| N | 0 | 0 | -1 | 1 | 0 |\n| X | 0 | 0 | 0 | 0 | 0 |",0]
["| R | ∆V | (cid:48)<br>R | Output |\n| --- | --- | --- | --- |\n| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |\n| H(“1”) | V<∆Vth,R1 | H(“0”) | spike |\n| H(“0”) | V<∆V<Vth,R2th,S2 | L(ON) | pulse |","| H(“0”) | ∆V<Vth,R2 | H(“1”) | spike |\n| --- | --- | --- | --- |\n| L(ON) | V<∆Vth,R1 | H(“0”) | – |\n| L(ON) | ∆V<Vth,R2 | H(“1”) | – |",1]
["| R | ∆V | (cid:48)<br>R | Output |\n| --- | --- | --- | --- |\n| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |\n| H(“1”) | V<∆Vth,R1 | H(“0”) | spike |\n| H(“0”) | V<∆V<Vth,R2th,S2 | L(ON) | pulse |","| N | 0 | 0 | -1 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| X | 0 | 0 | 0 | 0 | 0 |",0]
["| Network | Source | \\|V\\| | \\|E\\| | Averagedegree |\n| --- | --- | --- | --- | --- |\n| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 |","| polbooks | Copurchasesofpoliticalbooks | 105 | 441 | 8.8 |\n| --- | --- | --- | --- | --- |\n| power | Powergridtopology | 4941 | 6594 | 2.7 |\n| facebook | Facebookego-networks | 4039 | 88234 | 43.7 |\n| enron | Enroncommunicationnetwork | 36692 | 183831 | 10 |",1]
["| Network | Source | \\|V\\| | \\|E\\| | Averagedegree |\n| --- | --- | --- | --- | --- |\n| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 |","| Network | Type | \\|V\\| | \\|E\\| | diameter | radius | δ4−point |\n| --- | --- | --- | --- | --- | --- | --- |\n| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |\n| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |\n| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",0]
["| Network | Source | \\|V\\| | \\|E\\| | Averagedegree |\n| --- | --- | --- | --- | --- |\n| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 |\n| polbooks | Copurchasesofpoliticalbooks | 105 | 441 | 8.8 |\n| power | Powergridtopology | 4941 | 6594 | 2.7 |","| facebook | Facebookego-networks | 4039 | 88234 | 43.7 |\n| --- | --- | --- | --- | --- |\n| enron | Enroncommunicationnetwork | 36692 | 183831 | 10 |",1]
["| Network | Source | \\|V\\| | \\|E\\| | Averagedegree |\n| --- | --- | --- | --- | --- |\n| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 |\n| polbooks | Copurchasesofpoliticalbooks | 105 | 441 | 8.8 |\n| power | Powergridtopology | 4941 | 6594 | 2.7 |","| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",0]
["| line | fragments |\n| --- | --- |\n| 4 | {} |\n| 24 | {{(f1,C1)}} |","| 11 | {{(f1,C1),(f1,C3)}} |\n| --- | --- |\n| 11 | {{(f1,C1),(f1,C3),(f1,P1)}} |",1]
["| line | fragments |\n| --- | --- |\n| 4 | {} |\n| 24 | {{(f1,C1)}} |","| line | fragments |\n| --- | --- |\n| 4 | {} |\n| 24 | {{(f7,C3)}} |\n| 24 | {{(f7,C3)},{(f8,C4)}} |\n| 11<br>11 | {{(f7,C3),(f7,P2)},{(f8,C4)}}<br>{{(f7,C3),(f7,P2)},{(f8,C4),(f8,P2)}} |",0]
["| line | fragments |\n| --- | --- |\n| 4 | {} |","| 24 | {{(f1,C1)}} |\n| --- | --- |\n| 11 | {{(f1,C1),(f1,C3)}} |\n| 11 | {{(f1,C1),(f1,C3),(f1,P1)}} |",1]
["| line | fragments |\n| --- | --- |\n| 4 | {} |","| 24 | {{(f7,C3)},{(f8,C4)}} |\n| --- | --- |\n| 11<br>11 | {{(f7,C3),(f7,P2)},{(f8,C4)}}<br>{{(f7,C3),(f7,P2)},{(f8,C4),(f8,P2)}} |",0]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 469(352) | 10 | 11 |","| EP | 327 | 0(1) | 0 |\n| --- | --- | --- | --- |\n| JRC | 35 | 0 | 0(0) |",1]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 469(352) | 10 | 11 |","| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |\n| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",0]
["| Ssrc | Stgt |  |\n| --- | --- | --- |\n| OS | EP | JRC |","| OS | 469(352) | 10 | 11 |\n| --- | --- | --- | --- |\n| EP | 327 | 0(1) | 0 |\n| JRC | 35 | 0 | 0(0) |",1]
["| Ssrc | Stgt |  |\n| --- | --- | --- |\n| OS | EP | JRC |","| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| --- | --- | --- | --- |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",0]
["| Method | yaw | pitch | average |\n| --- | --- | --- | --- |\n| 2-foldcrossvalidation |  |  |  |\n| KRFWS | 4.95 | 3.35 | 4.15±0.041 |\n| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |\n| AKRF | 5.45 | 3.92 | 4.68±0.072 |\n| 5-foldcrossvalidation |  |  |  |\n| KRFWS | 5.07 | 2.65 | 3.86±0.177 |","| KRF(baseline) | 5.13 | 2.88 | 4.01±0.171 |\n| --- | --- | --- | --- |\n| AKRF | 5.57 | 3.39 | 4.48±0.267 |",1]
["| Method | yaw | pitch | average |\n| --- | --- | --- | --- |\n| 2-foldcrossvalidation |  |  |  |\n| KRFWS | 4.95 | 3.35 | 4.15±0.041 |\n| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |\n| AKRF | 5.45 | 3.92 | 4.68±0.072 |\n| 5-foldcrossvalidation |  |  |  |\n| KRFWS | 5.07 | 2.65 | 3.86±0.177 |","| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |\n| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |\n| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |\n| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |\n| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["| Method | yaw | pitch | average |\n| --- | --- | --- | --- |\n| 2-foldcrossvalidation |  |  |  |\n| KRFWS | 4.95 | 3.35 | 4.15±0.041 |\n| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |\n| AKRF | 5.45 | 3.92 | 4.68±0.072 |\n| 5-foldcrossvalidation |  |  |  |","| KRFWS | 5.07 | 2.65 | 3.86±0.177 |\n| --- | --- | --- | --- |\n| KRF(baseline) | 5.13 | 2.88 | 4.01±0.171 |\n| AKRF | 5.57 | 3.39 | 4.48±0.267 |",1]
["| Method | yaw | pitch | average |\n| --- | --- | --- | --- |\n| 2-foldcrossvalidation |  |  |  |\n| KRFWS | 4.95 | 3.35 | 4.15±0.041 |\n| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |\n| AKRF | 5.45 | 3.92 | 4.68±0.072 |\n| 5-foldcrossvalidation |  |  |  |","| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| --- | --- | --- | --- | --- | --- |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 15.62 | 14.00 | 14.56 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 13.01 | 10.96 | 11.53 |\n| White-Patch(WP) | 12.68 | 10.50 | 11.25 |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |","| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| --- | --- | --- | --- |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Learning-basedmethods |  |  |  |\n| Edge-basedgamut | 12.78 | 10.88 | 11.38 |\n| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |\n| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |\n| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |\n| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |\n| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |\n| ColorCat(CC) | 8.73 | 7.07 | 7.43 |\n| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |\n| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 |\n| ColorDogCC | 8.81 | 5.98 | 6.97 |\n| ColorDogSCC | 8.51 | 5.55 | 6.56 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 15.62 | 14.00 | 14.56 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 13.01 | 10.96 | 11.53 |\n| White-Patch(WP) | 12.68 | 10.50 | 11.25 |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |","| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 8.28 | 6.70 | 7.25 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 7.87 | 6.97 | 7.14 |\n| White-Patch(WP) | 6.80 | 5.30 | 5.77 |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |\n| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Learning-basedmethods |  |  |  |\n| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |\n| Edge-basedgamut | 6.81 | 5.81 | 6.03 |\n| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |\n| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |\n| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |\n| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |\n| ColorCat(CC) | 4.22 | 3.17 | 3.46 |\n| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |\n| SmartColorCat(SCC) | 4.62 | 3.52 | 3.80 |\n| ColorDogSCC | 4.80 | 3.08 | 3.71 |\n| ColorDogCC | 4.50 | 2.86 | 3.50 |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 15.62 | 14.00 | 14.56 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 13.01 | 10.96 | 11.53 |\n| White-Patch(WP) | 12.68 | 10.50 | 11.25 |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Learning-basedmethods |  |  |  |\n| Edge-basedgamut | 12.78 | 10.88 | 11.38 |\n| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |\n| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |\n| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |\n| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |\n| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |\n| ColorCat(CC) | 8.73 | 7.07 | 7.43 |\n| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |\n| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 |","| ColorDogCC | 8.81 | 5.98 | 6.97 |\n| --- | --- | --- | --- |\n| ColorDogSCC | 8.51 | 5.55 | 6.56 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 15.62 | 14.00 | 14.56 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 13.01 | 10.96 | 11.53 |\n| White-Patch(WP) | 12.68 | 10.50 | 11.25 |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Learning-basedmethods |  |  |  |\n| Edge-basedgamut | 12.78 | 10.88 | 11.38 |\n| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |\n| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |\n| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |\n| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |\n| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |\n| ColorCat(CC) | 8.73 | 7.07 | 7.43 |\n| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |\n| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 |","| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| --- | --- | --- | --- |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Learning-basedmethods |  |  |  |\n| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |\n| Edge-basedgamut | 6.81 | 5.81 | 6.03 |\n| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |\n| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |\n| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |\n| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |\n| ColorCat(CC) | 4.22 | 3.17 | 3.46 |\n| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |\n| SmartColorCat(SCC) | 4.62 | 3.52 | 3.80 |\n| ColorDogSCC | 4.80 | 3.08 | 3.71 |\n| ColorDogCC | 4.50 | 2.86 | 3.50 |",0]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Test1 | Test2 | Test3 |\n| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |\n| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 |\n| u(px)0 | 121.501±1.096 | 123.041±1.044 | 121.813±1.055 |","| v(px)0 | 113.061±0.954 | 111.483±0.851 | 113.324±0.954 |\n| --- | --- | --- | --- |\n| k1 | -0.379±0.034 | -0.383±0.029 | -0.376±0.034 |\n| k2 | 0.384±0.276 | 0.370±0.220 | 0.361±0.182 |\n| k3 | -0.588±0.663 | -0.425±0.480 | -0.575±0.658 |",1]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Test1 | Test2 | Test3 |\n| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |\n| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 |\n| u(px)0 | 121.501±1.096 | 123.041±1.044 | 121.813±1.055 |","| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Dataset1 | Dataset2 | Dataset3 |\n| f(px)x | 216.520±1.399 | 216.307±1.898 | 216.360±0.579 |\n| f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |\n| u(px)0 | 122.241±1.106 | 121.847±1.162 | 122.414±0.758 |\n| v(px)0 | 113.410±0.826 | 112.981±0.970 | 111.535±0.646 |\n| k1 | -0.349±0.010 | -0.353±0.011 | -0.369±0.023 |\n| k2 | 0.148±0.021 | 0.144±0.021 | 0.303±0.182 |\n| k3 | 0.000±0.000 | 0.000±0.000 | -0.366±0.417 |",0]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Test1 | Test2 | Test3 |\n| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |\n| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 |","| u(px)0 | 121.501±1.096 | 123.041±1.044 | 121.813±1.055 |\n| --- | --- | --- | --- |\n| v(px)0 | 113.061±0.954 | 111.483±0.851 | 113.324±0.954 |\n| k1 | -0.379±0.034 | -0.383±0.029 | -0.376±0.034 |\n| k2 | 0.384±0.276 | 0.370±0.220 | 0.361±0.182 |\n| k3 | -0.588±0.663 | -0.425±0.480 | -0.575±0.658 |",1]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Test1 | Test2 | Test3 |\n| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |\n| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 |","| f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |\n| --- | --- | --- | --- |\n| u(px)0 | 122.241±1.106 | 121.847±1.162 | 122.414±0.758 |\n| v(px)0 | 113.410±0.826 | 112.981±0.970 | 111.535±0.646 |\n| k1 | -0.349±0.010 | -0.353±0.011 | -0.369±0.023 |\n| k2 | 0.148±0.021 | 0.144±0.021 | 0.303±0.182 |\n| k3 | 0.000±0.000 | 0.000±0.000 | -0.366±0.417 |",0]
["| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |\n| --- | --- | --- | --- |\n| 16 | 5.777 | 8.556 | 12.078 |","| 32 | 6.049 | 8.664 | 13.518 |\n| --- | --- | --- | --- |\n| 64 | 6.399 | 8.824 | 14.958 |\n| 128 | 6.819 | 9.045 | 16.398 |",1]
["| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |\n| --- | --- | --- | --- |\n| 16 | 5.777 | 8.556 | 12.078 |","| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |\n| --- | --- | --- | --- |\n| 16 | 5.777 | 8.556 | 12.078 |\n| 32 | 6.049 | 8.664 | 13.518 |","| 64 | 6.399 | 8.824 | 14.958 |\n| --- | --- | --- | --- |\n| 128 | 6.819 | 9.045 | 16.398 |",1]
["| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |\n| --- | --- | --- | --- |\n| 16 | 5.777 | 8.556 | 12.078 |\n| 32 | 6.049 | 8.664 | 13.518 |","| 37 | 703 | 540.2 | 0.77 |\n| --- | --- | --- | --- |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| k | n=2 | n=3 |  |  |\n| --- | --- | --- | --- | --- |\n| Time | Model | Time | Model |  |\n| 1 | <1 | 11 | <1 | 13 |\n| 5 | 1 | 43 | 1 | 61 |","| 10 | 2 | 83 | 2 | 121 |\n| --- | --- | --- | --- | --- |\n| 15 | 5 | 123 | 6 | 181 |",1]
["| k | n=2 | n=3 |  |  |\n| --- | --- | --- | --- | --- |\n| Time | Model | Time | Model |  |\n| 1 | <1 | 11 | <1 | 13 |\n| 5 | 1 | 43 | 1 | 61 |","| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |\n| 2.25M | 1383 | 1110 |\n| 4M | 1323 | 2078 |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",0]
["| k | n=2 | n=3 |  |\n| --- | --- | --- | --- |\n| Time | Model | Time | Model |","| 1 | <1 | 11 | <1 | 13 |\n| --- | --- | --- | --- | --- |\n| 5 | 1 | 43 | 1 | 61 |\n| 10 | 2 | 83 | 2 | 121 |\n| 15 | 5 | 123 | 6 | 181 |",1]
["| k | n=2 | n=3 |  |\n| --- | --- | --- | --- |\n| Time | Model | Time | Model |","| 4M | 1323 | 2078 |\n| --- | --- | --- |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",0]
["|  |  |\n| --- | --- |\n| Veriﬁer<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() |","|  |  |\n| --- | --- |\n| Veriﬁer<br>Communication<br>Prover | Veriﬁer()<br>MinPolyPreCondCycCommunicate(+)<br>MinPolyPreCondCycCompute(+) |\n|  |  |\n| Veriﬁer<br>Communication<br>Prover | Verify()+2n<br>DetCommunicate()+n<br>CharPolyDetCompute()+Compute() |",1]
["|  |  |\n| --- | --- |\n| Veriﬁer<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() |","| Problem | Input | Output |\n| --- | --- | --- |\n| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |\n| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |\n| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |\n| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring |",0]
["|  |  |\n| --- | --- |\n| Veriﬁer<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() |\n|  |  |","| Veriﬁer<br>Communication<br>Prover | Veriﬁer()<br>MinPolyPreCondCycCommunicate(+)<br>MinPolyPreCondCycCompute(+) |\n| --- | --- |\n|  |  |\n| Veriﬁer<br>Communication<br>Prover | Verify()+2n<br>DetCommunicate()+n<br>CharPolyDetCompute()+Compute() |",1]
["|  |  |\n| --- | --- |\n| Veriﬁer<br>Communication<br>Prover | Verify()+EEA<br>SeqCertCommunicate()+2n<br>SeqCertCompute() |\n|  |  |","| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |\n| --- | --- | --- |\n| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |\n| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring |",0]
["| TCNSettings |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |\n| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A |  |","| Seq.MNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PermutedMNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A |  |\n| CopyMemoryTask | T=500<br>T=1000<br>T=2000 | 6<br>8<br>8 | 9<br>8<br>9 | 10<br>10<br>10 | 0.05 | 1.0 | RMSprop5e-4 |\n| MusicJSBChorales | - | 3 | 2 | 150 | 0.5 | 0.4 |  |\n| MusicNottingham | - | 6 | 4 | 150 | 0.2 | 0.4 |  |\n| Word-levelLM | PTB<br>Wiki-103<br>LAMBADA | 3<br>3<br>4 | 4<br>5<br>5 | 600<br>1000<br>500 | 0.5<br>0.4 | 0.4 | Embed.size600<br>Embed.size400<br>Embed.size500 |\n| Char-levelLM | PTB<br>text8 | 3<br>2 | 3<br>5 | 450<br>520 | 0.1 | 0.15 | Embed.size100 |",1]
["| TCNSettings |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |\n| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A |  |","| Thesourceof<br>featurestatistics | DTW | Histogram |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| MCYT<br>SUSIG<br>NYU | 0.27<br>0.15<br>n.a. | 0.06<br>0.32<br>n.a. | 0.082<br>0.3<br>0.28 | 0.78<br>0.47<br>n.a. | 0.37<br>0.68<br>n.a. | 0.33<br>0.59<br>0.71 |\n| Genericassumption | 0.34 | 0.19 | 0.17 | 0.50 | 0.57 | 0.56 |",0]
["| TCNSettings |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |\n| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A |  |\n| Seq.MNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A |  |\n| PermutedMNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A |  |\n| CopyMemoryTask | T=500<br>T=1000<br>T=2000 | 6<br>8<br>8 | 9<br>8<br>9 | 10<br>10<br>10 | 0.05 | 1.0 | RMSprop5e-4 |\n| MusicJSBChorales | - | 3 | 2 | 150 | 0.5 | 0.4 |  |\n| MusicNottingham | - | 6 | 4 | 150 | 0.2 | 0.4 |  |","| Word-levelLM | PTB<br>Wiki-103<br>LAMBADA | 3<br>3<br>4 | 4<br>5<br>5 | 600<br>1000<br>500 | 0.5<br>0.4 | 0.4 | Embed.size600<br>Embed.size400<br>Embed.size500 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Char-levelLM | PTB<br>text8 | 3<br>2 | 3<br>5 | 450<br>520 | 0.1 | 0.15 | Embed.size100 |",1]
["| TCNSettings |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset/Task | Subtask | k | n | Hidden | Dropout | GradClip | Note |\n| TheAddingProblem | T=200<br>T=400<br>T=600 | 6<br>7<br>8 | 7<br>7<br>8 | 27<br>27<br>24 | 0.0 | N/A |  |\n| Seq.MNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A |  |\n| PermutedMNIST | - | 7<br>6 | 8<br>8 | 25<br>20 | 0.0 | N/A |  |\n| CopyMemoryTask | T=500<br>T=1000<br>T=2000 | 6<br>8<br>8 | 9<br>8<br>9 | 10<br>10<br>10 | 0.05 | 1.0 | RMSprop5e-4 |\n| MusicJSBChorales | - | 3 | 2 | 150 | 0.5 | 0.4 |  |\n| MusicNottingham | - | 6 | 4 | 150 | 0.2 | 0.4 |  |","| MCYT<br>SUSIG<br>NYU | 0.27<br>0.15<br>n.a. | 0.06<br>0.32<br>n.a. | 0.082<br>0.3<br>0.28 | 0.78<br>0.47<br>n.a. | 0.37<br>0.68<br>n.a. | 0.33<br>0.59<br>0.71 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Genericassumption | 0.34 | 0.19 | 0.17 | 0.50 | 0.57 | 0.56 |",0]
["| Year | Journal |\n| --- | --- |\n| 2000 | α |\n| τ[yrs] |  |\n| A[yrs]0 |  |\n| 1989-91 | α |","| τ[yrs] |\n| --- |\n| A[yrs]0 |",1]
["| Year | Journal |\n| --- | --- |\n| 2000 | α |\n| τ[yrs] |  |\n| A[yrs]0 |  |\n| 1989-91 | α |","| Papers | Year |\n| --- | --- |\n|  | 2005 |\n|  | 2006 |\n|  | 2007 |\n|  | 2008 |\n|  | 2010 |\n|  | 2011 |\n|  | 2012 |\n|  | 2013 |\n|  | 2014 |\n|  | 2015 |\n|  | 2016 |\n|  | 2017 |",0]
["| Year | Journal |\n| --- | --- |\n| 2000 | α |\n| τ[yrs] |  |\n| A[yrs]0 |  |\n| 1989-91 | α |","| τ[yrs] |\n| --- |\n| A[yrs]0 |",1]
["| Year | Journal |\n| --- | --- |\n| 2000 | α |\n| τ[yrs] |  |\n| A[yrs]0 |  |\n| 1989-91 | α |","|  | 2014 |\n| --- | --- |\n|  | 2015 |\n|  | 2016 |\n|  | 2017 |",0]
["| OriginalContent | Retweets |  |  |\n| --- | --- | --- | --- |\n| nachdem | 32 | eu | 62 |\n| eu | 30 | european | 54 |\n| fr | 25 | uk | 41 |\n| may | 21 | doorstep | 35 |\n| gibt | 21 | council | 35 |\n| merkel | 21 | la | 28 |\n| negativen | 20 | deal | 26 |","| frau | 20 | vote | 24 |\n| --- | --- | --- | --- |\n| folgen | 20 | britain | 24 |\n| neue | 19 | special | 22 |",1]
["| OriginalContent | Retweets |  |  |\n| --- | --- | --- | --- |\n| nachdem | 32 | eu | 62 |\n| eu | 30 | european | 54 |\n| fr | 25 | uk | 41 |\n| may | 21 | doorstep | 35 |\n| gibt | 21 | council | 35 |\n| merkel | 21 | la | 28 |\n| negativen | 20 | deal | 26 |","| Allotherdays |  | 23rdJune2016 |  |\n| --- | --- | --- | --- |\n| #brexit | 787 | #britaininout | 378 |\n| #eu | 148 | #euref | 354 |\n| #merkelmussbleiben | 125 | #brexitornot | 211 |\n| #merkel | 110 | #goodbyeuk | 187 |\n| #euco | 89 | #brexitinout | 186 |\n| #ukineu | 64 | #remainineu | 168 |\n| #may | 60 | #brexit | 38 |\n| #uk | 33 | #reasonstoleaveeu | 14 |\n| #article50 | 31 | #eu | 10 |\n| #girlstalkselﬁes | 18 | #uk | 8 |",0]
["| OriginalContent | Retweets |  |  |\n| --- | --- | --- | --- |\n| nachdem | 32 | eu | 62 |\n| eu | 30 | european | 54 |\n| fr | 25 | uk | 41 |\n| may | 21 | doorstep | 35 |\n| gibt | 21 | council | 35 |\n| merkel | 21 | la | 28 |\n| negativen | 20 | deal | 26 |\n| frau | 20 | vote | 24 |","| folgen | 20 | britain | 24 |\n| --- | --- | --- | --- |\n| neue | 19 | special | 22 |",1]
["| OriginalContent | Retweets |  |  |\n| --- | --- | --- | --- |\n| nachdem | 32 | eu | 62 |\n| eu | 30 | european | 54 |\n| fr | 25 | uk | 41 |\n| may | 21 | doorstep | 35 |\n| gibt | 21 | council | 35 |\n| merkel | 21 | la | 28 |\n| negativen | 20 | deal | 26 |\n| frau | 20 | vote | 24 |","| #article50 | 31 | #eu | 10 |\n| --- | --- | --- | --- |\n| #girlstalkselﬁes | 18 | #uk | 8 |",0]
["| Fig.No | T−T | m(E,t=0)t | Plotting |\n| --- | --- | --- | --- |\n| ?? | 20 | 1 | Pv.s(t,E) |\n| ?? | 20 | 1 | Pv.st |","| ?? | 20 | 1 | mv.s(t,E)t |\n| --- | --- | --- | --- |\n| ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |\n| ?? | 120 | 1 | Pv.st |\n| ?? | 120 | 1 | v(E,t=0)v.sEt |",1]
["| Fig.No | T−T | m(E,t=0)t | Plotting |\n| --- | --- | --- | --- |\n| ?? | 20 | 1 | Pv.s(t,E) |\n| ?? | 20 | 1 | Pv.st |","| T=1 | T=3 |\n| --- | --- |\n| 1.6839 | 0.7567 |\n| 1.6639 | 0.7684 |\n| 1.6090 | 0.8258 |\n| 1.6793 | 0.8017 |\n| 1.5191 | 0.7784 |\n| 1.4991 | 0.8218 |\n| 1.4101 | 0.8027 |\n| 1.3879 | 0.7786 |\n| 1.4162 | 0.7408 |",0]
["| Fig.No | T−T | m(E,t=0)t | Plotting |\n| --- | --- | --- | --- |\n| ?? | 20 | 1 | Pv.s(t,E) |","| ?? | 20 | 1 | Pv.st |\n| --- | --- | --- | --- |\n| ?? | 20 | 1 | mv.s(t,E)t |\n| ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |\n| ?? | 120 | 1 | Pv.st |\n| ?? | 120 | 1 | v(E,t=0)v.sEt |",1]
["| Fig.No | T−T | m(E,t=0)t | Plotting |\n| --- | --- | --- | --- |\n| ?? | 20 | 1 | Pv.s(t,E) |","| 1.4991 | 0.8218 |\n| --- | --- |\n| 1.4101 | 0.8027 |\n| 1.3879 | 0.7786 |\n| 1.4162 | 0.7408 |",0]
["| ODS | OIS |\n| --- | --- |\n| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 |","| .720<br>.682<br>.746 | .734<br>.695<br>.761 |\n| --- | --- |\n| .729<br>.705<br>.757 | .742<br>.715<br>.771 |\n| .739<br>.707<br>.762 | .754<br>.719<br>.778 |",1]
["| ODS | OIS |\n| --- | --- |\n| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| ODS | OIS |\n| --- | --- |\n| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 |","| .720<br>.682<br>.746 | .734<br>.695<br>.761 |\n| --- | --- |\n| .729<br>.705<br>.757 | .742<br>.715<br>.771 |\n| .739<br>.707<br>.762 | .754<br>.719<br>.778 |",1]
["| ODS | OIS |\n| --- | --- |\n| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 |","| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| --- | --- | --- |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |\n| --- | --- | --- | --- | --- |\n| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |","| 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |\n| --- | --- | --- | --- | --- |\n| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |\n| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |\n| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 |\n| 310 | 4.56×10 | 10 | 6.13×10 | 4.61×10 |\n| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |\n| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |\n| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |\n| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |\n| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |\n| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 |",1]
["| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |\n| --- | --- | --- | --- | --- |\n| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |","| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |\n| --- | --- | --- | --- | --- |\n| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |\n| 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |\n| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |\n| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |\n| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 |","| 310 | 4.56×10 | 10 | 6.13×10 | 4.61×10 |\n| --- | --- | --- | --- | --- |\n| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |\n| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |\n| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |\n| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |\n| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |\n| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 |",1]
["| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |\n| --- | --- | --- | --- | --- |\n| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |\n| 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |\n| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |\n| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |\n| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 |","| 4 | 3.51×10 | 80 | 7.46×10 |\n| --- | --- | --- | --- |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |\n| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 |\n| Send | 16 | 0.289 | 0.273 | - | 0.089 | 0.651 | 21 |","| Marriage | 46 | 0.330 | 0.469 | 0.085 | 0.067 | 0.951 | 26 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10-Q | 14 | 0.279 | 0.252 | - | 0.033 | 0.564 | 12 |",1]
["| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |\n| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 |\n| Send | 16 | 0.289 | 0.273 | - | 0.089 | 0.651 | 21 |","| Inputtype | Acc | JGM | GoogleIT | KNPTC |\n| --- | --- | --- | --- | --- |\n| CP | W-Acc | 99.86 | 99.89 | 99.83 |\n| S-Acc | 99.51 | 99.78 | 99.64 |  |\n| LAP | W-Acc | 55.06 | 90.19 | 93.11 |\n| S-Acc | 0 | 78.20 | 83.40 |  |\n| GAP | W-Acc | 17.01 | 61.78 | 62.94 |\n| S-Acc | 0 | 35.77 | 31.18 |  |\n| MP | W-Acc | 68.11 | 50.90 | 95.19 |\n| S-Acc | 47.84 | 11.58 | 88.87 |  |\n| MIX | W-Acc | 68.69 | 84.09 | 91.25 |\n| S-Acc | 44.85 | 70.58 | 83.22 |  |",0]
["| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |\n| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 |","| Send | 16 | 0.289 | 0.273 | - | 0.089 | 0.651 | 21 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Marriage | 46 | 0.330 | 0.469 | 0.085 | 0.067 | 0.951 | 26 |\n| 10-Q | 14 | 0.279 | 0.252 | - | 0.033 | 0.564 | 12 |",1]
["| Problems | sC<br>Lines | s-to-P<br>(s) | Object<br>(s) | Enum<br>(s) | P-to-E<br>(s) | Total<br>(s) | Ecl<br>Lines |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Golfers | 31 | 0.276 | 0.340 | 0.080 | 0.075 | 0.771 | 37 |\n| Engine | 112 | 0.292 | 0.641 | 0.146 | 0.087 | 1.166 | 78 |","| S-Acc | 0 | 78.20 | 83.40 |  |\n| --- | --- | --- | --- | --- |\n| GAP | W-Acc | 17.01 | 61.78 | 62.94 |\n| S-Acc | 0 | 35.77 | 31.18 |  |\n| MP | W-Acc | 68.11 | 50.90 | 95.19 |\n| S-Acc | 47.84 | 11.58 | 88.87 |  |\n| MIX | W-Acc | 68.69 | 84.09 | 91.25 |\n| S-Acc | 44.85 | 70.58 | 83.22 |  |",0]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM)DADT |","| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |\n| --- | --- |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) |",1]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM)DADT |","|  | SVMSVM(RR)SVM(SDB)SVM(RM)CND |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM) |\n| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |",0]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM)DADT |\n| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |","|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) |",1]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM)DADT |\n| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |","|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |",0]
["| App | StorageFraction | GCalgorithm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |","| PR:30GB<br>Deca:828s/<br>21.7s | 0.4:1.0 | 5544s | 3588s | PS | 5544s | 3588s |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",1]
["| App | StorageFraction | GCalgorithm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |","| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| App | StorageFraction | GCalgorithm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| PR:30GB<br>Deca:828s/<br>21.7s | 0.4:1.0 | 5544s | 3588s | PS | 5544s | 3588s |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |",1]
["| App | StorageFraction | GCalgorithm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| LR:80GB<br>Deca:152s/<br>1.6s | 0.8:0.2 | 2466s | 1918s | PS | 3102s | 2367s |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| PR:30GB<br>Deca:828s/<br>21.7s | 0.4:1.0 | 5544s | 3588s | PS | 5544s | 3588s |","| 600 | 6000 | 9.14GB |\n| --- | --- | --- |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 |","|  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| state | .407 | .296 | .672 | .461 | .286 | .269 | .238 | .355 | .268 |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",1]
["|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| n | Iterations |\n| --- | --- |\n| 50 | 6.06 |\n| 60 | 7.35 |\n| 70 | 8.59 |","| 100 | 11.93 |\n| --- | --- |\n| 500 | 65.89 |\n| 1000 | 141.1 |",1]
["| n | Iterations |\n| --- | --- |\n| 50 | 6.06 |\n| 60 | 7.35 |\n| 70 | 8.59 |","| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| n | Iterations |\n| --- | --- |\n| 50 | 6.06 |\n| 60 | 7.35 |\n| 70 | 8.59 |","| 100 | 11.93 |\n| --- | --- |\n| 500 | 65.89 |\n| 1000 | 141.1 |",1]
["| n | Iterations |\n| --- | --- |\n| 50 | 6.06 |\n| 60 | 7.35 |\n| 70 | 8.59 |","| 1 | 300 | 0.5 | 50.632 |\n| --- | --- | --- | --- |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| SchematicStructure |\n| --- |\n| - |","| (V,P,(A,T),P,V) |\n| --- |\n| (V,P,A,P,V) |\n|  |\n| (V,P,A,P,V) |\n|  |",1]
["| SchematicStructure |\n| --- |\n| - |","| SchematicStructure |\n| --- |\n| - |\n| (G,(GO,T),G) |\n|  |\n| (G,T,G) |\n|  |\n|  |\n|  |\n| (G,T,G) |\n|  |\n|  |\n|  |",0]
["| SchematicStructure |\n| --- |\n| - |\n| (V,P,(A,T),P,V) |\n| (V,P,A,P,V) |\n|  |","| (V,P,A,P,V) |\n| --- |\n|  |",1]
["| SchematicStructure |\n| --- |\n| - |\n| (V,P,(A,T),P,V) |\n| (V,P,A,P,V) |\n|  |","|  |\n| --- |\n|  |",0]
["| Metric | Accuracy | NMI |  |  |\n| --- | --- | --- | --- | --- |\n| Prop | 30 | 37 | 30 | 37 |\n| Supervised |  |  |  |  |","| SVM<br>NB | 89.35<br>85.75 | 93.17<br>89.22 | – | – |\n| --- | --- | --- | --- | --- |\n| Semi-supervised |  |  |  |  |\n| LP-5<br>LP-10<br>UserReg-10 | 77.20<br>86.60<br>86.76 | 87.49<br>88.20<br>90.08 | –<br>–<br>– | –<br>–<br>– |\n| Unsupervised |  |  |  |  |\n| ESSA<br>Tri-clustering<br>Onlinetri-clustering | 81.69<br>81.87<br>91.88 | 85.87<br>92.15<br>92.24 | 38.71<br>40.24<br>67.73 | 15.88<br>18.93<br>29.85 |",1]
["| Metric | Accuracy | NMI |  |  |\n| --- | --- | --- | --- | --- |\n| Prop | 30 | 37 | 30 | 37 |\n| Supervised |  |  |  |  |","| Unsupervised |  |  |  |\n| --- | --- | --- | --- |\n| Model | GNSDR | GSIR | GSAR |\n| RPCA | 3.15 | 4.43 | 11.09 |\n| RPCAh | 3.25 | 4.52 | 11.10 |\n| RPCAh+FASST | 3.84 | 6.22 | 9.19 |\n| Supervised |  |  |  |\n| Model | GNSDR | GSIR | GSAR |\n| MLRR | 3.85 | 5.63 | 10.70 |\n| RNMF | 4.97 | 7.66 | 10.03 |\n| DRNN-2 | 7.27 | 11.98 | 9.99 |\n| DRNN-2+discrim | 7.45 | 13.08 | 9.68 |",0]
["| Metric | Accuracy | NMI |  |  |\n| --- | --- | --- | --- | --- |\n| Prop | 30 | 37 | 30 | 37 |\n| Supervised |  |  |  |  |\n| SVM<br>NB | 89.35<br>85.75 | 93.17<br>89.22 | – | – |\n| Semi-supervised |  |  |  |  |","| LP-5<br>LP-10<br>UserReg-10 | 77.20<br>86.60<br>86.76 | 87.49<br>88.20<br>90.08 | –<br>–<br>– | –<br>–<br>– |\n| --- | --- | --- | --- | --- |\n| Unsupervised |  |  |  |  |\n| ESSA<br>Tri-clustering<br>Onlinetri-clustering | 81.69<br>81.87<br>91.88 | 85.87<br>92.15<br>92.24 | 38.71<br>40.24<br>67.73 | 15.88<br>18.93<br>29.85 |",1]
["| Metric | Accuracy | NMI |  |  |\n| --- | --- | --- | --- | --- |\n| Prop | 30 | 37 | 30 | 37 |\n| Supervised |  |  |  |  |\n| SVM<br>NB | 89.35<br>85.75 | 93.17<br>89.22 | – | – |\n| Semi-supervised |  |  |  |  |","| RPCAh | 3.25 | 4.52 | 11.10 |\n| --- | --- | --- | --- |\n| RPCAh+FASST | 3.84 | 6.22 | 9.19 |\n| Supervised |  |  |  |\n| Model | GNSDR | GSIR | GSAR |\n| MLRR | 3.85 | 5.63 | 10.70 |\n| RNMF | 4.97 | 7.66 | 10.03 |\n| DRNN-2 | 7.27 | 11.98 | 9.99 |\n| DRNN-2+discrim | 7.45 | 13.08 | 9.68 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |\n| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |\n| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |\n| NJU | 0.7044 | 0.3625 | 0.4787 |\n| AJOU | 0.4726 | 0.4694 | 0.471 |\n| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |","| Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 |\n| --- | --- | --- | --- |\n| CNNMSER | 0.3471 | 0.3442 | 0.3457 |\n| TextCatcher-2 | 0.2491 | 0.3481 | 0.2904 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |\n| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |\n| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |\n| NJU | 0.7044 | 0.3625 | 0.4787 |\n| AJOU | 0.4726 | 0.4694 | 0.471 |\n| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.71 | 0.43 | 0.54 |\n| StradVision-2 | 0.77 | 0.37 | 0.50 |\n| StradVision-1 | 0.53 | 0.46 | 0.50 |\n| NJUText | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |\n| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |\n| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |\n| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |\n| NJU | 0.7044 | 0.3625 | 0.4787 |\n| AJOU | 0.4726 | 0.4694 | 0.471 |\n| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |\n| Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 |","| CNNMSER | 0.3471 | 0.3442 | 0.3457 |\n| --- | --- | --- | --- |\n| TextCatcher-2 | 0.2491 | 0.3481 | 0.2904 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |\n| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |\n| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |\n| NJU | 0.7044 | 0.3625 | 0.4787 |\n| AJOU | 0.4726 | 0.4694 | 0.471 |\n| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |\n| Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 |","| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| --- | --- | --- | --- |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",0]
["| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |","| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| --- | --- | --- | --- | --- |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",1]
["| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |","|  | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |\n| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |\n| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |\n| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",0]
["| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |\n| PNA | 0.1 | 0.077 | 0.097 | 0.068 |","| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| --- | --- | --- | --- | --- |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",1]
["| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |\n| PNA | 0.1 | 0.077 | 0.097 | 0.068 |","| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |\n| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",0]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 1800 | 1800 | 1800 | 1800 |\n| Min | 48s | 62s | 33s | 62s |\n| Max(=total) | 418s | 558s | 499s | 279s |\n| Avg | 244s | 181s | 267s | 165s |","| Var | 10,061 | 10,376 | 17,460 | 4,107 |\n| --- | --- | --- | --- | --- |\n| SD | 100 | 102 | 132 | 65 |\n| 75thperc. | 330s | 221s | 381s | 220s |\n| 95thperc. | 398s | 440s | 471s | 265s |",1]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 1800 | 1800 | 1800 | 1800 |\n| Min | 48s | 62s | 33s | 62s |\n| Max(=total) | 418s | 558s | 499s | 279s |\n| Avg | 244s | 181s | 267s | 165s |","| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 850 | 1400 | 1400 | 400 |\n| Min | 54s | 77s | 33s | 56s |\n| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |\n| Avg | 149s | 204s | 214s | 83s |\n| Var | 2,331 | 6,737 | 10,723 | 293 |\n| SD | 48 | 82 | 104 | 17 |\n| 75thperc. | 191s | 274s | 302s | 97s |\n| 95thperc. | 222s | 332s | 378s | 110s |",0]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 1800 | 1800 | 1800 | 1800 |\n| Min | 48s | 62s | 33s | 62s |\n| Max(=total) | 418s | 558s | 499s | 279s |","| Avg | 244s | 181s | 267s | 165s |\n| --- | --- | --- | --- | --- |\n| Var | 10,061 | 10,376 | 17,460 | 4,107 |\n| SD | 100 | 102 | 132 | 65 |\n| 75thperc. | 330s | 221s | 381s | 220s |\n| 95thperc. | 398s | 440s | 471s | 265s |",1]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 1800 | 1800 | 1800 | 1800 |\n| Min | 48s | 62s | 33s | 62s |\n| Max(=total) | 418s | 558s | 499s | 279s |","| Avg | 149s | 204s | 214s | 83s |\n| --- | --- | --- | --- | --- |\n| Var | 2,331 | 6,737 | 10,723 | 293 |\n| SD | 48 | 82 | 104 | 17 |\n| 75thperc. | 191s | 274s | 302s | 97s |\n| 95thperc. | 222s | 332s | 378s | 110s |",0]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 |","| Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 |\n| --- | --- | --- | --- | --- |\n| YangandRamanan+K-Means | 43.2 | 28.6 | 35.8 | 35.9 |\n| Groundtruth+K-Means | 31 | 29.8 | 26.1 | 28.9 |\n| OurApproach | 57.2 | 60.3 | 74.7 | 64.1 |",1]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 |","| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 24.1 | 26.6 | 34.2 | 28.3 |\n| Sappetal.+K-Means | 22.9 | 27.9 | 40.5 | 30.4 |\n| YangandRamanan+K-Means | 38.3 | 25.7 | 22.6 | 28.9 |\n| Groundtruth+K-Means | 34.7 | 36.1 | 39.5 | 36.8 |\n| OurApproach | 55.6 | 68.8 | 80.8 | 68.4 |",0]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 |\n| Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 |","| YangandRamanan+K-Means | 43.2 | 28.6 | 35.8 | 35.9 |\n| --- | --- | --- | --- | --- |\n| Groundtruth+K-Means | 31 | 29.8 | 26.1 | 28.9 |\n| OurApproach | 57.2 | 60.3 | 74.7 | 64.1 |",1]
["| HPE | Sleeve | Neckline | Pattern | Total |\n| --- | --- | --- | --- | --- |\n| Andrilukaetal.+K-Means | 27.5 | 31.7 | 27.6 | 28.9 |\n| Sappetal.+K-Means | 34.9 | 30.5 | 23.8 | 29.7 |","| Sappetal.+K-Means | 22.9 | 27.9 | 40.5 | 30.4 |\n| --- | --- | --- | --- | --- |\n| YangandRamanan+K-Means | 38.3 | 25.7 | 22.6 | 28.9 |\n| Groundtruth+K-Means | 34.7 | 36.1 | 39.5 | 36.8 |\n| OurApproach | 55.6 | 68.8 | 80.8 | 68.4 |",0]
["| Features | Class | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 |","| SGRAM | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.63<br>0.71 |\n| --- | --- | --- | --- | --- |\n| SGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.64<br>0.71 |\n| NGRAM | Ham<br>Spam<br>avg. | 0.63<br>0.99<br>0.81 | 1<br>0.42<br>0.71 | 0.77<br>0.59<br>0.69 |\n| NGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.64<br>0.99<br>0.82 | 1<br>0.45<br>0.72 | 0.78<br>0.62<br>0.70 |",1]
["| Features | Class | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 |","| #Predicted |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",0]
["| Features | Class | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 |","| SGRAM | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.63<br>0.71 |\n| --- | --- | --- | --- | --- |\n| SGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.65<br>0.99<br>0.82 | 1<br>0.47<br>0.73 | 0.79<br>0.64<br>0.71 |\n| NGRAM | Ham<br>Spam<br>avg. | 0.63<br>0.99<br>0.81 | 1<br>0.42<br>0.71 | 0.77<br>0.59<br>0.69 |\n| NGRAM<br>NORM. | Ham<br>Spam<br>avg. | 0.64<br>0.99<br>0.82 | 1<br>0.45<br>0.72 | 0.78<br>0.62<br>0.70 |",1]
["| Features | Class | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| MELA | Ham<br>Spam<br>avg. | 0.66<br>0.98<br>0.82 | 0.99<br>0.48<br>0.73 | 0.79<br>0.64<br>0.72 |","| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",0]
["| Pattern | Total |\n| --- | --- |\n| (supertype)(diﬀerentiaquality) | 27 |\n| (supertype)(diﬀerentiaevent) | 13 |\n| (diﬀerentiaquality)(supertype) | 6 |\n| (supertype)(diﬀerentiaevent)(eventlocation) | 5 |\n| (supertype)(diﬀerentiaquality)(purpose) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaevent) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaquality) | 2 |\n| (supertype)OR(diﬀerentiaquality)+ | 2 |\n| (supertype)(originlocation) | 2 |\n| (diﬀerentiaquality)(supertype)(diﬀerentiaquality) | 2 |\n| OR(supertype)+(diﬀerentiaevent) | 2 |\n| (diﬀerentiaquality)+(supertype) | 2 |","| (diﬀerentiaquality)+(supertype)(diﬀerentiaevent) | 2 |\n| --- | --- |\n| Other | 29 |\n| Total | 100 |",1]
["| Pattern | Total |\n| --- | --- |\n| (supertype)(diﬀerentiaquality) | 27 |\n| (supertype)(diﬀerentiaevent) | 13 |\n| (diﬀerentiaquality)(supertype) | 6 |\n| (supertype)(diﬀerentiaevent)(eventlocation) | 5 |\n| (supertype)(diﬀerentiaquality)(purpose) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaevent) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaquality) | 2 |\n| (supertype)OR(diﬀerentiaquality)+ | 2 |\n| (supertype)(originlocation) | 2 |\n| (diﬀerentiaquality)(supertype)(diﬀerentiaquality) | 2 |\n| OR(supertype)+(diﬀerentiaevent) | 2 |\n| (diﬀerentiaquality)+(supertype) | 2 |","| Machines | States | Events |\n| --- | --- | --- |\n| dk15 | 4 | 8 |\n| bbara | 10 | 16 |\n| mc | 4 | 8 |\n| lion | 4 | 4 |\n| bbtas | 6 | 4 |\n| tav | 4 | 16 |\n| modulo12 | 12 | 2 |\n| beecount | 7 | 8 |\n| shiftreg | 8 | 2 |",0]
["| Pattern | Total |\n| --- | --- |\n| (supertype)(diﬀerentiaquality) | 27 |\n| (supertype)(diﬀerentiaevent) | 13 |\n| (diﬀerentiaquality)(supertype) | 6 |\n| (supertype)(diﬀerentiaevent)(eventlocation) | 5 |\n| (supertype)(diﬀerentiaquality)(purpose) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaevent) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaquality) | 2 |\n| (supertype)OR(diﬀerentiaquality)+ | 2 |\n| (supertype)(originlocation) | 2 |\n| (diﬀerentiaquality)(supertype)(diﬀerentiaquality) | 2 |","| OR(supertype)+(diﬀerentiaevent) | 2 |\n| --- | --- |\n| (diﬀerentiaquality)+(supertype) | 2 |\n| (diﬀerentiaquality)+(supertype)(diﬀerentiaevent) | 2 |\n| Other | 29 |\n| Total | 100 |",1]
["| Pattern | Total |\n| --- | --- |\n| (supertype)(diﬀerentiaquality) | 27 |\n| (supertype)(diﬀerentiaevent) | 13 |\n| (diﬀerentiaquality)(supertype) | 6 |\n| (supertype)(diﬀerentiaevent)(eventlocation) | 5 |\n| (supertype)(diﬀerentiaquality)(purpose) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaevent) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaquality) | 2 |\n| (supertype)OR(diﬀerentiaquality)+ | 2 |\n| (supertype)(originlocation) | 2 |\n| (diﬀerentiaquality)(supertype)(diﬀerentiaquality) | 2 |","| modulo12 | 12 | 2 |\n| --- | --- | --- |\n| beecount | 7 | 8 |\n| shiftreg | 8 | 2 |",0]
["| Thenumberofthebranchhaving<br>food(experimentsindiﬀerentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordiﬀerentscouts<br>(sec) |\n| --- | --- | --- |\n| 26 | 6 | 35,30 |\n| 30 | 10 | 70,65 |\n| 27 | 7 | 65,72 |\n| 24 | 4 | 58,60,62 |\n| 8 | 2 | 22,20,25 |\n| 16 | 4 | 25,8,25 |\n| 16 | 4 | 25 |","| 22 | 2 | 15,18 |\n| --- | --- | --- |\n| 18 | 2 | 20,25,18,20 |\n| 15 | 5 | 30,28,35,30 |\n| 20 | 0 | 10,12,10 |\n| 6 | 4 | 25,28 |\n| 16 | 4 | 30,25 |\n| 15 | 5 | 20,25,20 |\n| 14 | 4 | 25,28,30,26 |\n| 17 | 3 | 17,15 |\n| 11 | 1 | 10,12 |",1]
["| Thenumberofthebranchhaving<br>food(experimentsindiﬀerentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordiﬀerentscouts<br>(sec) |\n| --- | --- | --- |\n| 26 | 6 | 35,30 |\n| 30 | 10 | 70,65 |\n| 27 | 7 | 65,72 |\n| 24 | 4 | 58,60,62 |\n| 8 | 2 | 22,20,25 |\n| 16 | 4 | 25,8,25 |\n| 16 | 4 | 25 |","| Distance(m) | Time(sec) |\n| --- | --- |\n| 0.0 | 0 |\n| 4.9 | 1 |\n| 19.6 | 2 |\n| 44.1 | 3 |\n| 78.5 | 4 |\n| 122.6 | 5 |\n| 176.5 | 6 |\n| 240.3 | 7 |\n| 313.8 | 8 |\n| 397.2 | 9 |\n| 490.3 | 10 |\n| 593.3 | 11 |\n| 706.1 | 12 |\n| 828.7 | 13 |\n| 961.1 | 14 |\n| 1103.2 | 15 |\n| 1255.3 | 16 |\n| Etc | Etc |",0]
["| Thenumberofthebranchhaving<br>food(experimentsindiﬀerentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordiﬀerentscouts<br>(sec) |\n| --- | --- | --- |\n| 26 | 6 | 35,30 |\n| 30 | 10 | 70,65 |\n| 27 | 7 | 65,72 |","| 24 | 4 | 58,60,62 |\n| --- | --- | --- |\n| 8 | 2 | 22,20,25 |\n| 16 | 4 | 25,8,25 |\n| 16 | 4 | 25 |\n| 22 | 2 | 15,18 |\n| 18 | 2 | 20,25,18,20 |\n| 15 | 5 | 30,28,35,30 |\n| 20 | 0 | 10,12,10 |\n| 6 | 4 | 25,28 |\n| 16 | 4 | 30,25 |\n| 15 | 5 | 20,25,20 |\n| 14 | 4 | 25,28,30,26 |\n| 17 | 3 | 17,15 |\n| 11 | 1 | 10,12 |",1]
["| Thenumberofthebranchhaving<br>food(experimentsindiﬀerentdays,<br>consequently) | Distancetothenearest<br>specialbranch | Timesoftransmissionof<br>informationaboutthebranch<br>numberfordiﬀerentscouts<br>(sec) |\n| --- | --- | --- |\n| 26 | 6 | 35,30 |\n| 30 | 10 | 70,65 |\n| 27 | 7 | 65,72 |","| 122.6 | 5 |\n| --- | --- |\n| 176.5 | 6 |\n| 240.3 | 7 |\n| 313.8 | 8 |\n| 397.2 | 9 |\n| 490.3 | 10 |\n| 593.3 | 11 |\n| 706.1 | 12 |\n| 828.7 | 13 |\n| 961.1 | 14 |\n| 1103.2 | 15 |\n| 1255.3 | 16 |\n| Etc | Etc |",0]
["| Property | Humanoid | Atlas | T-Rex | Dragon |\n| --- | --- | --- | --- | --- |\n| Links | 13 | 12 | 20 | 32 |\n| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 |","| Height(m) | 1.62 | 1.82 | 1.66 | 1.83 |\n| --- | --- | --- | --- | --- |\n| DegreesofFreedom | 34 | 31 | 55 | 79 |\n| StateFeatures | 197 | 184 | 262 | 418 |\n| ActionParameters | 36 | 32 | 64 | 94 |",1]
["| Property | Humanoid | Atlas | T-Rex | Dragon |\n| --- | --- | --- | --- | --- |\n| Links | 13 | 12 | 20 | 32 |\n| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 |","| 3DModel | Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |  |\n| Armadillo | 172K | 16 | 47.5 | 61.7 | 0.34 | 0.26 |\n| Angel | 237K | 47 | 50.5 | 62.6 | 0.93 | 0.75 |\n| SkeletonHand | 327K | 32 | 49.5 | 61.8 | 0.65 | 0.52 |\n| Dragon | 437K | 62 | 55.9 | 67.4 | 1.11 | 0.92 |\n| HappyBuddha | 543K | 63 | 56.8 | 76.7 | 1.11 | 0.82 |\n| TurbineBlade | 882K | 125 | 64.3 | 72.3 | 1.94 | 1.73 |\n| VellumManuscript | 2M | 219 | 63.2 | 91.5 | 3.47 | 2.39 |\n| AsianDragon | 3M | 359 | 78.4 | 129.8 | 4.58 | 2.77 |\n| ThaiStatue | 5M | 515 | 84.4 | 142.6 | 6.10 | 3.61 |\n| Lucy | 14M | 1404 | 141.3 | 223.3 | 9.94 | 6.29 |",0]
["| Property | Humanoid | Atlas | T-Rex | Dragon |\n| --- | --- | --- | --- | --- |\n| Links | 13 | 12 | 20 | 32 |\n| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 |","| Height(m) | 1.62 | 1.82 | 1.66 | 1.83 |\n| --- | --- | --- | --- | --- |\n| DegreesofFreedom | 34 | 31 | 55 | 79 |\n| StateFeatures | 197 | 184 | 262 | 418 |\n| ActionParameters | 36 | 32 | 64 | 94 |",1]
["| Property | Humanoid | Atlas | T-Rex | Dragon |\n| --- | --- | --- | --- | --- |\n| Links | 13 | 12 | 20 | 32 |\n| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 |","| Armadillo | 172K | 16 | 47.5 | 61.7 | 0.34 | 0.26 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Angel | 237K | 47 | 50.5 | 62.6 | 0.93 | 0.75 |\n| SkeletonHand | 327K | 32 | 49.5 | 61.8 | 0.65 | 0.52 |\n| Dragon | 437K | 62 | 55.9 | 67.4 | 1.11 | 0.92 |\n| HappyBuddha | 543K | 63 | 56.8 | 76.7 | 1.11 | 0.82 |\n| TurbineBlade | 882K | 125 | 64.3 | 72.3 | 1.94 | 1.73 |\n| VellumManuscript | 2M | 219 | 63.2 | 91.5 | 3.47 | 2.39 |\n| AsianDragon | 3M | 359 | 78.4 | 129.8 | 4.58 | 2.77 |\n| ThaiStatue | 5M | 515 | 84.4 | 142.6 | 6.10 | 3.61 |\n| Lucy | 14M | 1404 | 141.3 | 223.3 | 9.94 | 6.29 |",0]
["| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |\n| --- | --- | --- | --- | --- | --- |\n| 1.Labels | Yes | No | Yes | Yes | No |\n| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |\n| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |\n| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |\n| 5.CompetingCascades | Yes | No | No | Yes | Yes |","| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |\n| --- | --- | --- | --- | --- | --- |\n| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard |",1]
["| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |\n| --- | --- | --- | --- | --- | --- |\n| 1.Labels | Yes | No | Yes | Yes | No |\n| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |\n| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |\n| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |\n| 5.CompetingCascades | Yes | No | No | Yes | Yes |","|  | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |\n| --- | --- | --- |\n| FormoftheGame | Extensive | Extensive |\n| PerfectInformation | Yes | Yes |\n| Numberofplayers | Any | Any |\n| NewcombChoice | Twoboxes | Onebox |\n| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(“couldhave<br>beenwrong”) | PerfectPrediction<br>(“wouldalso<br>havebeenright”) |\n| RelationshipwiththePast | Cournot-like | Stackelberg-like |\n| Reasoning | BackwardInduction | ForwardInduction |\n| Indiﬀerencebetweenpayoﬀs | Allowed | Notallowedinprinciple |\n| Existence | Always | Always |\n| Uniqueness | Always | Always |\n| Optimality | - | Pareto |\n| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) |",0]
["| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |\n| --- | --- | --- | --- | --- | --- |\n| 1.Labels | Yes | No | Yes | Yes | No |\n| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |\n| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |","| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |\n| --- | --- | --- | --- | --- | --- |\n| 5.CompetingCascades | Yes | No | No | Yes | Yes |\n| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |\n| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard |",1]
["| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |\n| --- | --- | --- | --- | --- | --- |\n| 1.Labels | Yes | No | Yes | Yes | No |\n| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |\n| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |","| Uniqueness | Always | Always |\n| --- | --- | --- |\n| Optimality | - | Pareto |\n| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) |",0]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |\n| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |","| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |\n| --- | --- | --- | --- | --- | --- | --- |\n| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |\n| {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |\n| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |",1]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |\n| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |","|  | Valueofpinthep-norm |  |  |  |\n| --- | --- | --- | --- | --- |\n| Committee | 1 | 0.5 | 0.1 | 0.001 |\n| {A,A}12 | 1800 | 1107.11 | 765.63 | 700.62 |\n| {A,B}11 | 1620 | 1095.81 | 808.45 | 750.56 |\n| {A,B}12 | 1780 | 1225.51 | 914.08 | 850.62 |\n| {A,B}21 | 2220 | 1445.51 | 1040.44 | 960.77 |\n| {A,B}22 | 2380 | 1475.81 | 1026.70 | 940.83 |\n| {B,B}12 | 2200 | 1307.11 | 880.50 | 800.76 |",0]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |\n| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |\n| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |\n| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |","| {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |\n| --- | --- | --- | --- | --- | --- | --- |\n| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |",1]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |\n| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |\n| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |\n| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |","| {A,B}22 | 2380 | 1475.81 | 1026.70 | 940.83 |\n| --- | --- | --- | --- | --- |\n| {B,B}12 | 2200 | 1307.11 | 880.50 | 800.76 |",0]
["| Round | Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 50,646 | 1 | 6 | 7 |\n| 2 | 50,635 | 6 | 12 | 18 |  |\n| 3 | 50,623 | 12 | 18 | 30 |  |","| 2 | 1 | 50,394 | 37 | 222 | 259 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 49,987 | 222 | 444 | 666 |  |\n| 3 | 49,543 | 444 | 666 | 1,110 |  |\n| 3 | 1 | 41,070 | 1,369 | 8,214 | 9,583 |\n| 2 | 26,011 | 8,214 | 16,428 | 24,642 |  |\n| 3 | 9,583 | 16,428 | 24,642 | 41,070 |  |\n| Total | 12 |  | 26,733 | 50,652 |  |",1]
["| Round | Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 50,646 | 1 | 6 | 7 |\n| 2 | 50,635 | 6 | 12 | 18 |  |\n| 3 | 50,623 | 12 | 18 | 30 |  |","| Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- |\n| 1 | 50,634 | 1 | 18 | 19 |\n| 2 | 50,491 | 18 | 144 | 162 |\n| 3 | 49,807 | 144 | 702 | 846 |\n| 4 | 47,593 | 684 | 2,376 | 3,060 |\n| 5 | 42,661 | 2,160 | 5,832 | 7,992 |\n| 6 | 35,425 | 4,752 | 10,476 | 15,228 |\n| 7 | 29,809 | 7,236 | 13,608 | 20,844 |\n| 8 | 31,861 | 7,128 | 11,664 | 18,792 |\n| 9 | 40,933 | 3,888 | 5,832 | 9,720 |\n| Total |  | 26,011 | 50,652 |  |",0]
["| Round | Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 50,646 | 1 | 6 | 7 |\n| 2 | 50,635 | 6 | 12 | 18 |  |\n| 3 | 50,623 | 12 | 18 | 30 |  |\n| 2 | 1 | 50,394 | 37 | 222 | 259 |\n| 2 | 49,987 | 222 | 444 | 666 |  |\n| 3 | 49,543 | 444 | 666 | 1,110 |  |","| 3 | 1 | 41,070 | 1,369 | 8,214 | 9,583 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 26,011 | 8,214 | 16,428 | 24,642 |  |\n| 3 | 9,583 | 16,428 | 24,642 | 41,070 |  |\n| Total | 12 |  | 26,733 | 50,652 |  |",1]
["| Round | Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 50,646 | 1 | 6 | 7 |\n| 2 | 50,635 | 6 | 12 | 18 |  |\n| 3 | 50,623 | 12 | 18 | 30 |  |\n| 2 | 1 | 50,394 | 37 | 222 | 259 |\n| 2 | 49,987 | 222 | 444 | 666 |  |\n| 3 | 49,543 | 444 | 666 | 1,110 |  |","| 6 | 35,425 | 4,752 | 10,476 | 15,228 |\n| --- | --- | --- | --- | --- |\n| 7 | 29,809 | 7,236 | 13,608 | 20,844 |\n| 8 | 31,861 | 7,128 | 11,664 | 18,792 |\n| 9 | 40,933 | 3,888 | 5,832 | 9,720 |\n| Total |  | 26,011 | 50,652 |  |",0]
["| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |","| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",1]
["| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |","| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |","| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",1]
["| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |","| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| Algorithm | Cluster | #Sentences |\n| --- | --- | --- |\n| CLUTO | performanceperformerperformyearsteam | 510 |\n| skillcustomermanagementknowledgeteam | 325 |  |","| roledeliveryworkplaceshow | 289 |  |\n| --- | --- | --- |\n| deliverymanagemanagementmanagercustomer | 259 |  |\n| knowledgecustomerbusinessexperiencework | 250 |  |\n| Carrot2 | managermanage | 1824 |\n| teamteam | 1756 |  |\n| deliverymanagement | 451 |  |\n| manageteam | 376 |  |\n| customermanagement | 321 |  |",1]
["| Algorithm | Cluster | #Sentences |\n| --- | --- | --- |\n| CLUTO | performanceperformerperformyearsteam | 510 |\n| skillcustomermanagementknowledgeteam | 325 |  |","| # | Activity | Duration | Duedate |\n| --- | --- | --- | --- |\n| 1 | Protocolreviewandrevision | 07businessdays | 18.3.2016 |\n| 2 | Searchforprimarystudies | 04businessdays | 24.3.2016 |\n| 3 | Titleandabstractlevelscreening | 07businessdays | 06.4.2016 |\n| 4 | Full-textlevelscreening | 07businessdays | 15.4.2016 |\n| 5 | Qualityassessment | 02businessdays | 19.4.2016 |\n| 6 | Dataextraction | 05businessdays | 26.4.2016 |\n| 7 | Datasynthesis | 05businessdays | 03.5.2016 |\n| 8 | Initialdraftofpaper | 10businessdays | 18.5.2016 |",0]
["| Algorithm | Cluster | #Sentences |\n| --- | --- | --- |\n| CLUTO | performanceperformerperformyearsteam | 510 |\n| skillcustomermanagementknowledgeteam | 325 |  |\n| roledeliveryworkplaceshow | 289 |  |","| deliverymanagemanagementmanagercustomer | 259 |  |\n| --- | --- | --- |\n| knowledgecustomerbusinessexperiencework | 250 |  |\n| Carrot2 | managermanage | 1824 |\n| teamteam | 1756 |  |\n| deliverymanagement | 451 |  |\n| manageteam | 376 |  |\n| customermanagement | 321 |  |",1]
["| Algorithm | Cluster | #Sentences |\n| --- | --- | --- |\n| CLUTO | performanceperformerperformyearsteam | 510 |\n| skillcustomermanagementknowledgeteam | 325 |  |\n| roledeliveryworkplaceshow | 289 |  |","| 5 | Qualityassessment | 02businessdays | 19.4.2016 |\n| --- | --- | --- | --- |\n| 6 | Dataextraction | 05businessdays | 26.4.2016 |\n| 7 | Datasynthesis | 05businessdays | 03.5.2016 |\n| 8 | Initialdraftofpaper | 10businessdays | 18.5.2016 |",0]
["| Textcategorization |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Dataset | Classes | Terms | Red.V. | Train | Test |","| Reuters-8<br>20-Newsgroup<br>WebKB | 8<br>20<br>4 | 23583<br>61188<br>7770 | 2483<br>6894<br>3727 | 5339<br>11269<br>2458 | 2333<br>7505<br>1709 |\n| --- | --- | --- | --- | --- | --- |\n| Sexualpredatordetection |  |  |  |  |  |\n| SPD | 2 | 155886 | 6770 | 6588 | 15329 |",1]
["| Textcategorization |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Dataset | Classes | Terms | Red.V. | Train | Test |","|  | Topfeatures |  |\n| --- | --- | --- |\n| # | Dataset1 | Dataset2 |\n| 1 | POSNOUN | Spellingerror |\n| 2 | Capitalization | LDAdrinking |\n| 3 | Spellingerror | POSNOUN |\n| 4 | POSPREPOSITION | Length |\n| 5 | Length | LDAtonight |\n| 6 | LDALlife | SentimentRatio |\n| 7 | POSVERB | Charrepeat |\n| 8 | LDAtoday | LDAtoday |\n| 9 | POSADV | LDAdrunken |\n| 10 | SentimentRatio | LDAlmao |",0]
["| Textcategorization |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Dataset | Classes | Terms | Red.V. | Train | Test |\n| Reuters-8<br>20-Newsgroup<br>WebKB | 8<br>20<br>4 | 23583<br>61188<br>7770 | 2483<br>6894<br>3727 | 5339<br>11269<br>2458 | 2333<br>7505<br>1709 |","| Sexualpredatordetection |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| SPD | 2 | 155886 | 6770 | 6588 | 15329 |",1]
["| Textcategorization |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Dataset | Classes | Terms | Red.V. | Train | Test |\n| Reuters-8<br>20-Newsgroup<br>WebKB | 8<br>20<br>4 | 23583<br>61188<br>7770 | 2483<br>6894<br>3727 | 5339<br>11269<br>2458 | 2333<br>7505<br>1709 |","| 3 | Spellingerror | POSNOUN |\n| --- | --- | --- |\n| 4 | POSPREPOSITION | Length |\n| 5 | Length | LDAtonight |\n| 6 | LDALlife | SentimentRatio |\n| 7 | POSVERB | Charrepeat |\n| 8 | LDAtoday | LDAtoday |\n| 9 | POSADV | LDAdrunken |\n| 10 | SentimentRatio | LDAlmao |",0]
["| averagetime<br>/iter./customer(s) |\n| --- |\n| 0.0097 |\n| 0.0100 |\n| 0.0101 |","| 0.0104 |\n| --- |\n| 0.0110 |",1]
["| averagetime<br>/iter./customer(s) |\n| --- |\n| 0.0097 |\n| 0.0100 |\n| 0.0101 |","| averagetime<br>/iter./generator(s) |\n| --- |\n| 0.0147 |\n| 0.0424 |\n| 0.2168 |\n| 0.6825 |\n| 1.5487 |",0]
["| averagetime<br>/iter./customer(s) |\n| --- |\n| 0.0097 |","| 0.0100 |\n| --- |\n| 0.0101 |\n| 0.0104 |\n| 0.0110 |",1]
["| averagetime<br>/iter./customer(s) |\n| --- |\n| 0.0097 |","| 0.0424 |\n| --- |\n| 0.2168 |\n| 0.6825 |\n| 1.5487 |",0]
["| Time/Image | Strategy1 |  |\n| --- | --- | --- |\n| Mean | Sparse | Crowded |","| Car | Bus | Van | Car | Bus | Van |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.20s<br>0.08s<br>0.23s<br>0.31s | 70.17<br>70.04<br>63.23<br>46.44 | 81.82<br>81.40<br>79.94<br>60.93 | 85.60<br>84.39<br>83.71<br>66.68 | 78.65<br>77.39<br>76.79<br>60.14 | 56.80<br>53.76<br>51.74<br>26.08 | 55.78<br>54.06<br>32.95<br>24.55 | 62.38<br>69.23<br>54.26<br>40.24 |\n| 0.03s<br>0.03s | 43.82<br>16.53 | 59.71<br>23.06 | 65.51<br>31.13 | 58.35<br>22.44 | 17.39<br>3.87 | 21.55<br>8.35 | 40.42<br>10.32 |",1]
["| Time/Image | Strategy1 |  |\n| --- | --- | --- |\n| Mean | Sparse | Crowded |","| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Time/Image | Strategy1 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mean | Sparse | Crowded |  |  |  |\n| Car | Bus | Van | Car | Bus | Van |","| 0.20s<br>0.08s<br>0.23s<br>0.31s | 70.17<br>70.04<br>63.23<br>46.44 | 81.82<br>81.40<br>79.94<br>60.93 | 85.60<br>84.39<br>83.71<br>66.68 | 78.65<br>77.39<br>76.79<br>60.14 | 56.80<br>53.76<br>51.74<br>26.08 | 55.78<br>54.06<br>32.95<br>24.55 | 62.38<br>69.23<br>54.26<br>40.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.03s<br>0.03s | 43.82<br>16.53 | 59.71<br>23.06 | 65.51<br>31.13 | 58.35<br>22.44 | 17.39<br>3.87 | 21.55<br>8.35 | 40.42<br>10.32 |",1]
["| Time/Image | Strategy1 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mean | Sparse | Crowded |  |  |  |\n| Car | Bus | Van | Car | Bus | Van |","| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["|  | App | exec. | gc | cache |\n| --- | --- | --- | --- | --- |\n| Query1 | Spark | 23s | 2.23s | 18.6GB |\n| SparkSQL | 22s | 0.49s | 5.6GB |  |\n| Deca | 22s | 0.26s | 6.3GB |  |\n| Query2 | Spark | 396s | 192.4s | 97.9GB(23.1GB) |","| SparkSQL | 180s | 3.0s | 47.1GB |\n| --- | --- | --- | --- |\n| Deca | 192s | 4.2s | 55.6GB |",1]
["|  | App | exec. | gc | cache |\n| --- | --- | --- | --- | --- |\n| Query1 | Spark | 23s | 2.23s | 18.6GB |\n| SparkSQL | 22s | 0.49s | 5.6GB |  |\n| Deca | 22s | 0.26s | 6.3GB |  |\n| Query2 | Spark | 396s | 192.4s | 97.9GB(23.1GB) |","|  | SizeinMB | Timeinsec |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| univ100 | univ1000 | Yago | univ100 | univ1000 | Yago |  |\n| RDF-3X | 831,717 | 7,795,458 | 2,189,735 | 240 | 3050 | 1090 |\n| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |\n| JenaTDB | 1,492,057 | 13,984,467 | 3,928,271 | 1285 | 16332 | 5837 |\n| WaterFowlMode1 | 91,539 | 922,106 | 271,616 | 168 | 2134 | 768 |\n| WaterFowlMode2 | 71,064 | 720396 | 210,556 | 119 | 1515 | 545 |\n| WaterFowlMode3 | 77,351 | 798,829 | 203,728 | 107 | 1488 | 513 |",0]
["|  | App | exec. | gc | cache |\n| --- | --- | --- | --- | --- |\n| Query1 | Spark | 23s | 2.23s | 18.6GB |\n| SparkSQL | 22s | 0.49s | 5.6GB |  |\n| Deca | 22s | 0.26s | 6.3GB |  |\n| Query2 | Spark | 396s | 192.4s | 97.9GB(23.1GB) |","| SparkSQL | 180s | 3.0s | 47.1GB |\n| --- | --- | --- | --- |\n| Deca | 192s | 4.2s | 55.6GB |",1]
["|  | App | exec. | gc | cache |\n| --- | --- | --- | --- | --- |\n| Query1 | Spark | 23s | 2.23s | 18.6GB |\n| SparkSQL | 22s | 0.49s | 5.6GB |  |\n| Deca | 22s | 0.26s | 6.3GB |  |\n| Query2 | Spark | 396s | 192.4s | 97.9GB(23.1GB) |","| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |\n| --- | --- | --- | --- | --- | --- | --- |\n| JenaTDB | 1,492,057 | 13,984,467 | 3,928,271 | 1285 | 16332 | 5837 |\n| WaterFowlMode1 | 91,539 | 922,106 | 271,616 | 168 | 2134 | 768 |\n| WaterFowlMode2 | 71,064 | 720396 | 210,556 | 119 | 1515 | 545 |\n| WaterFowlMode3 | 77,351 | 798,829 | 203,728 | 107 | 1488 | 513 |",0]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |\n| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |","| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| --- | --- | --- | --- | --- |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",1]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |\n| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |","| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |\n| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |\n| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 |\n| NESP | 360.1 | 0.642 | 345.2 | 0.6484 |\n| PLT | 392.1 | 0.6237 | 375.3 | 0.6311 |\n| MAPS | 421.8 | 0.6274 | 406 | 0.6329 |\n| PIONEER | 479.8 | 0.537 | 426.8 | 0.5571 |",0]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |\n| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |","| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| --- | --- | --- | --- | --- |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",1]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |\n| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |","| PLT | 392.1 | 0.6237 | 375.3 | 0.6311 |\n| --- | --- | --- | --- | --- |\n| MAPS | 421.8 | 0.6274 | 406 | 0.6329 |\n| PIONEER | 479.8 | 0.537 | 426.8 | 0.5571 |",0]
["| Department | Timespanofgraduations | #PhDsawarded |\n| --- | --- | --- |\n| AEGEANICSD | 1997–2016 | 31 |\n| AUEBDI | 1997–2017 | 77 |\n| AUTHDI | 1997–2016 | 131 |\n| AUTHECE | 2005–2016 | 173 |\n| CRETECSD | 1992–2016 | 75 |\n| CRETEECE | 1992–2017 | 43 |\n| IOANCSE | 2005–2017 | 43 |\n| IONIODI | 2011–2016 | 11 |","| NTUAECE | 1993–2016 | 1036 |\n| --- | --- | --- |\n| PATRASECE | 1984–2017 | 341 |\n| PELOPDI | 2006–2017 | 23 |\n| UADI | 2005–2017 | 208 |\n| UNIPIDI | 1991–2017 | 88 |\n| UTHDIB | 2013–2017 | 6 |\n| UTHECE | 2006–2017 | 42 |\n|  | TOTAL | 2328 |",1]
["| Department | Timespanofgraduations | #PhDsawarded |\n| --- | --- | --- |\n| AEGEANICSD | 1997–2016 | 31 |\n| AUEBDI | 1997–2017 | 77 |\n| AUTHDI | 1997–2016 | 131 |\n| AUTHECE | 2005–2016 | 173 |\n| CRETECSD | 1992–2016 | 75 |\n| CRETEECE | 1992–2017 | 43 |\n| IOANCSE | 2005–2017 | 43 |\n| IONIODI | 2011–2016 | 11 |","| Department | Kendalτ |\n| --- | --- |\n| AEGEANICSD | 0.27 |\n| AUEBDI | 0.17 |\n| AUTHDI | 0.37 |\n| AUTHECE | 0.34 |\n| CRETECSD | 0.40 |\n| CRETEECE | 0.50 |\n| IOANCSE | 0.58 |\n| IONIODI | 0.63 |\n| NTUAECE | −0.04 |\n| PATRASECE | 0.03 |\n| PELOPDI | 0.71 |\n| UADI | 0.39 |\n| UNIPIDI | 0.11 |\n| UTHDIB | 0.54 |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",0]
["| Department | Timespanofgraduations | #PhDsawarded |\n| --- | --- | --- |\n| AEGEANICSD | 1997–2016 | 31 |\n| AUEBDI | 1997–2017 | 77 |","| AUTHDI | 1997–2016 | 131 |\n| --- | --- | --- |\n| AUTHECE | 2005–2016 | 173 |\n| CRETECSD | 1992–2016 | 75 |\n| CRETEECE | 1992–2017 | 43 |\n| IOANCSE | 2005–2017 | 43 |\n| IONIODI | 2011–2016 | 11 |\n| NTUAECE | 1993–2016 | 1036 |\n| PATRASECE | 1984–2017 | 341 |\n| PELOPDI | 2006–2017 | 23 |\n| UADI | 2005–2017 | 208 |\n| UNIPIDI | 1991–2017 | 88 |\n| UTHDIB | 2013–2017 | 6 |\n| UTHECE | 2006–2017 | 42 |\n|  | TOTAL | 2328 |",1]
["| Department | Timespanofgraduations | #PhDsawarded |\n| --- | --- | --- |\n| AEGEANICSD | 1997–2016 | 31 |\n| AUEBDI | 1997–2017 | 77 |","| UADI | 0.39 |\n| --- | --- |\n| UNIPIDI | 0.11 |\n| UTHDIB | 0.54 |\n| UTHECE | −0.03 |\n| ALLDEPTS | 0.08 |",0]
["|  | Performance | Highﬁtness | Neurons | Connectivity |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.009 | 0.033 | 0.318 | 0.983 |","| HPvsLIN | 0.009 | 0.106 | 0.601 | 0.349 |\n| --- | --- | --- | --- | --- |\n| HPvsGA | 0.023 | 0.091 | 0.699 | 0.859 |\n| PEOvsLIN | 0.763 | 0.009 | 0.130 | 0.171 |\n| PEOvsGA | 0.027 | 0.044 | 0.107 | 0.781 |\n| LINvsGA | 0.019 | 0.684 | 0.762 | 0.289 |",1]
["|  | Performance | Highﬁtness | Neurons | Connectivity |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.009 | 0.033 | 0.318 | 0.983 |","| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |\n| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 |  |\n| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 |  |\n| 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 |  |\n| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |  |\n| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 |  |",0]
["|  | Performance | Highﬁtness | Neurons | Connectivity |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.009 | 0.033 | 0.318 | 0.983 |\n| HPvsLIN | 0.009 | 0.106 | 0.601 | 0.349 |\n| HPvsGA | 0.023 | 0.091 | 0.699 | 0.859 |\n| PEOvsLIN | 0.763 | 0.009 | 0.130 | 0.171 |","| PEOvsGA | 0.027 | 0.044 | 0.107 | 0.781 |\n| --- | --- | --- | --- | --- |\n| LINvsGA | 0.019 | 0.684 | 0.762 | 0.289 |",1]
["|  | Performance | Highﬁtness | Neurons | Connectivity |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.009 | 0.033 | 0.318 | 0.983 |\n| HPvsLIN | 0.009 | 0.106 | 0.601 | 0.349 |\n| HPvsGA | 0.023 | 0.091 | 0.699 | 0.859 |\n| PEOvsLIN | 0.763 | 0.009 | 0.130 | 0.171 |","| 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |\n| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |","| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| --- |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |","| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| --- |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |","| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| --- |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| Dataset | #datapoints | #features | Density(average<br>numberoffeatures<br>perdatapoint) | Comments |\n| --- | --- | --- | --- | --- |\n| NH2010 | 48,838 | 48,838 | 4.8026 | Topologicalgraphof49<br>CensusBlocksinNewHampshire. |\n| DBLP | 5,425,964 | 5,425,964 | 3.1880 | Authorshipnetworkof1.4Mauthors<br>and4Mpublications,with8.65Medges. |","| MovieLens | ∼10M | 82,250 | 200 | 10Mmovieratingsfrom71,568users<br>for10,682movies. |\n| --- | --- | --- | --- | --- |\n| EN-Wiki | 20,207,156 | 213,272 | 200 | SubsetofEnglishWikipediadump. |",1]
["| Dataset | #datapoints | #features | Density(average<br>numberoffeatures<br>perdatapoint) | Comments |\n| --- | --- | --- | --- | --- |\n| NH2010 | 48,838 | 48,838 | 4.8026 | Topologicalgraphof49<br>CensusBlocksinNewHampshire. |\n| DBLP | 5,425,964 | 5,425,964 | 3.1880 | Authorshipnetworkof1.4Mauthors<br>and4Mpublications,with8.65Medges. |","| Year | Dataset | Pairs | Source |\n| --- | --- | --- | --- |\n| 2012<br>2012<br>2012<br>2012<br>2012 | MSRpar<br>MSRvid<br>OnWN<br>SMTnews<br>SMTeuroparl | 1500<br>1500<br>750<br>750<br>750 | newswire<br>videos<br>glosses<br>WMTeval.<br>WMTeval. |\n| 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. |\n| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |\n| 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions |\n| 2017 | Trial | 23 | MixedSTS2016 |",0]
["| Dataset | #datapoints | #features | Density(average<br>numberoffeatures<br>perdatapoint) | Comments |\n| --- | --- | --- | --- | --- |\n| NH2010 | 48,838 | 48,838 | 4.8026 | Topologicalgraphof49<br>CensusBlocksinNewHampshire. |\n| DBLP | 5,425,964 | 5,425,964 | 3.1880 | Authorshipnetworkof1.4Mauthors<br>and4Mpublications,with8.65Medges. |","| MovieLens | ∼10M | 82,250 | 200 | 10Mmovieratingsfrom71,568users<br>for10,682movies. |\n| --- | --- | --- | --- | --- |\n| EN-Wiki | 20,207,156 | 213,272 | 200 | SubsetofEnglishWikipediadump. |",1]
["| Dataset | #datapoints | #features | Density(average<br>numberoffeatures<br>perdatapoint) | Comments |\n| --- | --- | --- | --- | --- |\n| NH2010 | 48,838 | 48,838 | 4.8026 | Topologicalgraphof49<br>CensusBlocksinNewHampshire. |\n| DBLP | 5,425,964 | 5,425,964 | 3.1880 | Authorshipnetworkof1.4Mauthors<br>and4Mpublications,with8.65Medges. |","| 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. |\n| --- | --- | --- | --- |\n| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |\n| 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions |\n| 2017 | Trial | 23 | MixedSTS2016 |",0]
["| Method | CIPRNG | XORshift | BBS |\n| --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.073128 | 0.145326 | 0.32435 |\n| FrequencyTestwithinaBlock | 0.719128 | 0.028817 | 0.000000 |\n| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |","| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| --- | --- | --- | --- |\n| Success | 15/15 | 14/15 | 2/15 |",1]
["| Method | CIPRNG | XORshift | BBS |\n| --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.073128 | 0.145326 | 0.32435 |\n| FrequencyTestwithinaBlock | 0.719128 | 0.028817 | 0.000000 |\n| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |","| Scheme | 1 | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- |\n| N(sizeofthesystem) | 8 | 8 | 8 | 5 |\n| M | {1} | {8} | {1,..,8} | {4,5} |\n| Frequency(Monobit)Test | 0 | 0.289667 | 0 | 0.108791 |\n| FrequencyTestwithinaBlock(M=20000) | 0 | 0 | 0 | 0.699313 |\n| RunsTest | 0 | 0.955835 | 0.816537 | 0.739918 |\n| TestfortheLongestRunofOnesinaBlock | 0 | 0 | 0 | 0.834308 |\n| BinaryMatrixRankTest | 0 | 0 | 0.699313 | 0.935716 |\n| DiscreteFourierTransform(Spectral)Test | 0 | 0 | 0 | 0.162606 |\n| Non-overlappingTemplateMatchingTest*(m=9) | 0 | 0 | 0 | 0.482340 |\n| OverlappingTemplateMatchingTest(m=9) | 0 | 0 | 0 | 0.401199 |\n| Maurer’s“UniversalStatistical”Test(L=7,Q=1280) | 0 | 0.075719 | 0.080519 | 0.102526 |\n| LinearComplexityTest(M=500) | 0.955835 | 0.474986 | 0.051942 | 0.023545 |\n| SerialTest*(m=10) | 0 | 0 | 0 | 0.308152 |\n| ApproximateEntropyTest(m=10) | 0 | 0 | 0 | 0 |\n| CumulativeSums(Cusum)Test* | 0 | 0.553415 | 0 | 0.661814 |\n| RandomExcursionsTest* | 0.015102 | 0.45675 | 0.194299 | 0.293228 |\n| RandomExcursionsVariantTest* | 0.045440 | 0.49615 | 0.145418 | 0.330716 |\n| Success | 3/15 | 7/15 | 6/15 | 14/15 |",0]
["| Method | CIPRNG | XORshift | BBS |\n| --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.073128 | 0.145326 | 0.32435 |\n| FrequencyTestwithinaBlock | 0.719128 | 0.028817 | 0.000000 |\n| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |","| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |\n| --- | --- | --- | --- |\n| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| Success | 15/15 | 14/15 | 2/15 |",1]
["| Method | CIPRNG | XORshift | BBS |\n| --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.073128 | 0.145326 | 0.32435 |\n| FrequencyTestwithinaBlock | 0.719128 | 0.028817 | 0.000000 |\n| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |","| FrequencyTestwithinaBlock(M=20000) | 0 | 0 | 0 | 0.699313 |\n| --- | --- | --- | --- | --- |\n| RunsTest | 0 | 0.955835 | 0.816537 | 0.739918 |\n| TestfortheLongestRunofOnesinaBlock | 0 | 0 | 0 | 0.834308 |\n| BinaryMatrixRankTest | 0 | 0 | 0.699313 | 0.935716 |\n| DiscreteFourierTransform(Spectral)Test | 0 | 0 | 0 | 0.162606 |\n| Non-overlappingTemplateMatchingTest*(m=9) | 0 | 0 | 0 | 0.482340 |\n| OverlappingTemplateMatchingTest(m=9) | 0 | 0 | 0 | 0.401199 |\n| Maurer’s“UniversalStatistical”Test(L=7,Q=1280) | 0 | 0.075719 | 0.080519 | 0.102526 |\n| LinearComplexityTest(M=500) | 0.955835 | 0.474986 | 0.051942 | 0.023545 |\n| SerialTest*(m=10) | 0 | 0 | 0 | 0.308152 |\n| ApproximateEntropyTest(m=10) | 0 | 0 | 0 | 0 |\n| CumulativeSums(Cusum)Test* | 0 | 0.553415 | 0 | 0.661814 |\n| RandomExcursionsTest* | 0.015102 | 0.45675 | 0.194299 | 0.293228 |\n| RandomExcursionsVariantTest* | 0.045440 | 0.49615 | 0.145418 | 0.330716 |\n| Success | 3/15 | 7/15 | 6/15 | 14/15 |",0]
["| layer |\n| --- |\n| VolumeConstruction |\n| 3×3×3×32stride1 |\n| 3×3×3×32stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×128stride2 |\n| 3×3×3×128stride1 |\n| 3×3×3×128stride1 |","| 3×3×3×64<br>upsamplingstride2 |\n| --- |\n| 3×3×3×64<br>upsamplingstride2 |\n| 3×3×3×64<br>upsamplingstride2 |\n| 3×3×3×32<br>upsamplingstride2 |\n| 3×3×3×1stride1 |",1]
["| layer |\n| --- |\n| VolumeConstruction |\n| 3×3×3×32stride1 |\n| 3×3×3×32stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×128stride2 |\n| 3×3×3×128stride1 |\n| 3×3×3×128stride1 |","| Layer | Filter/Stride | Outputsize |\n| --- | --- | --- |\n| Input | – | 1×51×51 |\n| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |\n| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |\n| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |\n| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 |",0]
["| layer |\n| --- |\n| VolumeConstruction |\n| 3×3×3×32stride1 |\n| 3×3×3×32stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |","| 3×3×3×128stride2 |\n| --- |\n| 3×3×3×128stride1 |\n| 3×3×3×128stride1 |\n| 3×3×3×64<br>upsamplingstride2 |\n| 3×3×3×64<br>upsamplingstride2 |\n| 3×3×3×64<br>upsamplingstride2 |\n| 3×3×3×32<br>upsamplingstride2 |\n| 3×3×3×1stride1 |",1]
["| layer |\n| --- |\n| VolumeConstruction |\n| 3×3×3×32stride1 |\n| 3×3×3×32stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride2 |\n| 3×3×3×64stride1 |\n| 3×3×3×64stride1 |","| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| --- | --- | --- |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |\n| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |\n| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |\n| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 |",0]
["| CostFunction | DistributionModel |  |  |  |\n| --- | --- | --- | --- | --- |\n| linear | exp. | uniform | polynomial |  |\n| HILL | .3556 | .3512 | .2847 | .3614 |","| S-UNIWARD | .3291 | .3091 | .2645 | .3267 |\n| --- | --- | --- | --- | --- |\n| HUGO | .2936 | .2813 | .2067 | .2074 |",1]
["| CostFunction | DistributionModel |  |  |  |\n| --- | --- | --- | --- | --- |\n| linear | exp. | uniform | polynomial |  |\n| HILL | .3556 | .3512 | .2847 | .3614 |","| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |\n| DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 |\n| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| CostFunction | DistributionModel |  |  |\n| --- | --- | --- | --- |\n| linear | exp. | uniform | polynomial |","| HILL | .3556 | .3512 | .2847 | .3614 |\n| --- | --- | --- | --- | --- |\n| S-UNIWARD | .3291 | .3091 | .2645 | .3267 |\n| HUGO | .2936 | .2813 | .2067 | .2074 |",1]
["| CostFunction | DistributionModel |  |  |\n| --- | --- | --- | --- |\n| linear | exp. | uniform | polynomial |","| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 1000 | 3000 | 28000 |","| MySQL | 2438.5 | 25465.1 | 286934.4 |\n| --- | --- | --- | --- |\n| PostgreSQL | 111.2 | 1191.3 | 13429.1 |\n| MongoDB | 86.7 | 914 | 19532.3 |\n| CouchDB | 2.47 | 22.25 | 215.55 |\n| Couchbase | 77.59 | 783.67 | 9188.13 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 1000 | 3000 | 28000 |","| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 2000 | 6000 | 53000 |\n| MySQL | 112 | 2529.8 | 32897.9 |\n| PostgreSQL | 86.8 | 2040.6 | 16465.2 |\n| MongoDB | 26.4 | 321.4 | 7814.6 |\n| CouchDB | 2.1 | 18.73 | 227.22 |\n| Couchbase | 45.83 | 445.72 | 7578.98 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 1000 | 3000 | 28000 |\n| MySQL | 2438.5 | 25465.1 | 286934.4 |\n| PostgreSQL | 111.2 | 1191.3 | 13429.1 |","| MongoDB | 86.7 | 914 | 19532.3 |\n| --- | --- | --- | --- |\n| CouchDB | 2.47 | 22.25 | 215.55 |\n| Couchbase | 77.59 | 783.67 | 9188.13 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 1000 | 3000 | 28000 |\n| MySQL | 2438.5 | 25465.1 | 286934.4 |\n| PostgreSQL | 111.2 | 1191.3 | 13429.1 |","| PostgreSQL | 86.8 | 2040.6 | 16465.2 |\n| --- | --- | --- | --- |\n| MongoDB | 26.4 | 321.4 | 7814.6 |\n| CouchDB | 2.1 | 18.73 | 227.22 |\n| Couchbase | 45.83 | 445.72 | 7578.98 |",0]
["| Type | NameofInitiative |\n| --- | --- |\n| Project | iSCAPE() |\n| AmsterdamSmartCitizensLab() |  |\n| PASODOBLE() |  |\n| PESCaDO() |  |\n| CITI-SENSE() |  |\n| PlumeLabs() |  |","| Application | Ubreathe() |\n| --- | --- |\n| WorldAirquality() |  |\n| Banshirne() |  |\n| AirForU() |  |\n| CleanAirNation() |  |\n| AirVisual() |  |",1]
["| Type | NameofInitiative |\n| --- | --- |\n| Project | iSCAPE() |\n| AmsterdamSmartCitizensLab() |  |\n| PASODOBLE() |  |\n| PESCaDO() |  |\n| CITI-SENSE() |  |\n| PlumeLabs() |  |","| FuelCategory | CategoryLabel | EIA-860Labels |\n| --- | --- | --- |\n| Coal | COW | ANT,BIT,LIG,SUB,WC |\n| Petroleum | PEL | RC,DFO,JF,KER,PC,RFO,WO |\n| NaturalGas | NG | BFG,NG,OG,PG,SG,SGC |\n| Nuclear | NUC | NUC |\n| Biomass | BIO | AB,MSW,OBS,WDS,OBL,SLW,BLQ,WDL |\n| DispatchableRenewables | DRN | WAT,GEO |\n| Renewables | RN | SUN,WND |",0]
["| Type | NameofInitiative |\n| --- | --- |\n| Project | iSCAPE() |\n| AmsterdamSmartCitizensLab() |  |\n| PASODOBLE() |  |\n| PESCaDO() |  |\n| CITI-SENSE() |  |","| PlumeLabs() |  |\n| --- | --- |\n| Application | Ubreathe() |\n| WorldAirquality() |  |\n| Banshirne() |  |\n| AirForU() |  |\n| CleanAirNation() |  |\n| AirVisual() |  |",1]
["| Type | NameofInitiative |\n| --- | --- |\n| Project | iSCAPE() |\n| AmsterdamSmartCitizensLab() |  |\n| PASODOBLE() |  |\n| PESCaDO() |  |\n| CITI-SENSE() |  |","| Nuclear | NUC | NUC |\n| --- | --- | --- |\n| Biomass | BIO | AB,MSW,OBS,WDS,OBL,SLW,BLQ,WDL |\n| DispatchableRenewables | DRN | WAT,GEO |\n| Renewables | RN | SUN,WND |",0]
["| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |","| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |\n| --- | --- | --- | --- |\n| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",1]
["| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |","|  | L1dline | DRAMpage | VMpage | VMsuperpage |\n| --- | --- | --- | --- | --- |\n| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |\n| BFS | 0.36 | 0.43 | 0.26 | 0.07 |\n| DFS | 0.33 | 0.23 | 0.19 | 0.11 |\n| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",0]
["| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |","| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| --- | --- | --- | --- |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",1]
["| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |","| DFS | 0.33 | 0.23 | 0.19 | 0.11 |\n| --- | --- | --- | --- | --- |\n| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",0]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.0/96.5 | 8.7/25.4 | 3.2/6.7 |","| EP | 3.9/14.1 | 95.3/96.2 | 4.5/6.4 |\n| --- | --- | --- | --- |\n| JRC | 1.9/3.7 | 7.0/12.4 | 96.8/96.7 |",1]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.0/96.5 | 8.7/25.4 | 3.2/6.7 |","| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |\n| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",0]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.0/96.5 | 8.7/25.4 | 3.2/6.7 |","| EP | 3.9/14.1 | 95.3/96.2 | 4.5/6.4 |\n| --- | --- | --- | --- |\n| JRC | 1.9/3.7 | 7.0/12.4 | 96.8/96.7 |",1]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.0/96.5 | 8.7/25.4 | 3.2/6.7 |","| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |\n| --- | --- | --- | --- |\n| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",0]
["| #oftargetimagesN | 1,000 | 5,000 | 10,000 |\n| --- | --- | --- | --- |\n| Non-transfer | 0.854 | 0.926 | 0.945 |","| SSL | 0.844 | 0.928 | 0.951 |\n| --- | --- | --- | --- |\n| Oquabetal. | 0.773 | 0.875 | 0.887 |\n| Agrawaletal. | 0.844 | 0.923 | 0.951 |\n| ATDL | 0.887 | 0.928 | 0.932 |",1]
["| #oftargetimagesN | 1,000 | 5,000 | 10,000 |\n| --- | --- | --- | --- |\n| Non-transfer | 0.854 | 0.926 | 0.945 |","| #oftargetimagesN | 400 | 1,500 |\n| --- | --- | --- |\n| Non-transfer | 0.724 | 0.753 |\n| SSL | 0.750 | 0.789 |\n| Oquabetal. | 0.763 | 0.782 |\n| Agrawaletal. | 0.753 | 0.781 |\n| ATDL | 0.789 | 0.797 |",0]
["| #oftargetimagesN | 1,000 | 5,000 | 10,000 |\n| --- | --- | --- | --- |\n| Non-transfer | 0.854 | 0.926 | 0.945 |","| SSL | 0.844 | 0.928 | 0.951 |\n| --- | --- | --- | --- |\n| Oquabetal. | 0.773 | 0.875 | 0.887 |\n| Agrawaletal. | 0.844 | 0.923 | 0.951 |\n| ATDL | 0.887 | 0.928 | 0.932 |",1]
["| #oftargetimagesN | 1,000 | 5,000 | 10,000 |\n| --- | --- | --- | --- |\n| Non-transfer | 0.854 | 0.926 | 0.945 |","| Agrawaletal. | 0.753 | 0.781 |\n| --- | --- | --- |\n| ATDL | 0.789 | 0.797 |",0]
["|  | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |\n| --- | --- | --- | --- | --- | --- |\n| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |\n| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |","| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| --- | --- | --- | --- | --- | --- |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",1]
["|  | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |\n| --- | --- | --- | --- | --- | --- |\n| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |\n| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |","|  | SizeinMB | Timeinsec |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| univ100 | univ1000 | Yago | univ100 | univ1000 | Yago |  |\n| RDF-3X | 831,717 | 7,795,458 | 2,189,735 | 240 | 3050 | 1090 |\n| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |\n| JenaTDB | 1,492,057 | 13,984,467 | 3,928,271 | 1285 | 16332 | 5837 |\n| WaterFowlMode1 | 91,539 | 922,106 | 271,616 | 168 | 2134 | 768 |\n| WaterFowlMode2 | 71,064 | 720396 | 210,556 | 119 | 1515 | 545 |\n| WaterFowlMode3 | 77,351 | 798,829 | 203,728 | 107 | 1488 | 513 |",0]
["|  | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |\n| --- | --- | --- | --- | --- | --- |\n| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |","| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |\n| --- | --- | --- | --- | --- | --- |\n| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",1]
["|  | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |\n| --- | --- | --- | --- | --- | --- |\n| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |","| RDF-3X | 831,717 | 7,795,458 | 2,189,735 | 240 | 3050 | 1090 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |\n| JenaTDB | 1,492,057 | 13,984,467 | 3,928,271 | 1285 | 16332 | 5837 |\n| WaterFowlMode1 | 91,539 | 922,106 | 271,616 | 168 | 2134 | 768 |\n| WaterFowlMode2 | 71,064 | 720396 | 210,556 | 119 | 1515 | 545 |\n| WaterFowlMode3 | 77,351 | 798,829 | 203,728 | 107 | 1488 | 513 |",0]
["| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |\n| 2 | 100 | 0.5 | 35.301 |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |","| 1 | 100 | 0 | 33.621 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.1 | 34.934 |",1]
["| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |\n| 2 | 100 | 0.5 | 35.301 |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |","| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |","| 2 | 100 | 0.5 | 35.301 |\n| --- | --- | --- | --- |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |\n| 1 | 100 | 0 | 33.621 |\n| 1 | 100 | 0.1 | 34.934 |",1]
["| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |","| 1 | 200 | 0.5 | 49.069 |\n| --- | --- | --- | --- |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| Hyperparameter | Potentialvalue |\n| --- | --- |\n| emsize | [300,350,400,450] |\n| nhid | [950,1050,1150,1250] |\n| nlayers | [2,3,4,5] |\n| dropout | [0.3,0.4,0.5,0.6] |\n| dropoute | [0.3,0.4,0.5,0.6] |\n| dropouth | [0.3,0.4,0.5,0.6] |\n| dropouti | [0.3,0.4,0.5,0.6] |\n| wdrop | [0.3,0.4,0.5,0.6] |","| bptt | [50,60,70,80] |\n| --- | --- |\n| clip | [0.15,0.25,0.35,0.45] |\n| lr | [20,30,40,45] |",1]
["| Hyperparameter | Potentialvalue |\n| --- | --- |\n| emsize | [300,350,400,450] |\n| nhid | [950,1050,1150,1250] |\n| nlayers | [2,3,4,5] |\n| dropout | [0.3,0.4,0.5,0.6] |\n| dropoute | [0.3,0.4,0.5,0.6] |\n| dropouth | [0.3,0.4,0.5,0.6] |\n| dropouti | [0.3,0.4,0.5,0.6] |\n| wdrop | [0.3,0.4,0.5,0.6] |","|  | Range | Description |\n| --- | --- | --- |\n| K | [5·10,10,10,10] | Sizeofkeydomain |\n| z | [0,...,0.85,...,1.0] | Distributionskewness |\n| f | [0,...,1.0,...,2.0] | Fluctuationrate |\n| θmax | [0,...,0.08,...,1.0] | Toleranceonloadimbalance |\n| β | [1,...,1.5,...,2.0] | Migrationselectionfactor |\n| r | [0,1,2,3,4,5,6,7,8] | Levelpartitiondistance |\n| w | [1,5,10,15,20] | Timeinterval |\n| ND | [1,5,10,15,20,...,40] | Numberoftaskinstances |\n| NA | [0,...,3·10,...,5·10] | Sizeoftheroutingtable |",0]
["| Hyperparameter | Potentialvalue |\n| --- | --- |\n| emsize | [300,350,400,450] |","| nhid | [950,1050,1150,1250] |\n| --- | --- |\n| nlayers | [2,3,4,5] |\n| dropout | [0.3,0.4,0.5,0.6] |\n| dropoute | [0.3,0.4,0.5,0.6] |\n| dropouth | [0.3,0.4,0.5,0.6] |\n| dropouti | [0.3,0.4,0.5,0.6] |\n| wdrop | [0.3,0.4,0.5,0.6] |\n| bptt | [50,60,70,80] |\n| clip | [0.15,0.25,0.35,0.45] |\n| lr | [20,30,40,45] |",1]
["| Hyperparameter | Potentialvalue |\n| --- | --- |\n| emsize | [300,350,400,450] |","| β | [1,...,1.5,...,2.0] | Migrationselectionfactor |\n| --- | --- | --- |\n| r | [0,1,2,3,4,5,6,7,8] | Levelpartitiondistance |\n| w | [1,5,10,15,20] | Timeinterval |\n| ND | [1,5,10,15,20,...,40] | Numberoftaskinstances |\n| NA | [0,...,3·10,...,5·10] | Sizeoftheroutingtable |",0]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |","| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |\n| --- | --- | --- |\n| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",1]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |","| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |\n| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |\n| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |\n| 114.7417 | 115.4359±1.4381 | 115.0131±1.7569 |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",0]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |","| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |\n| --- | --- | --- |\n| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",1]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |","| 114.7417 | 115.4359±1.4381 | 115.0131±1.7569 |\n| --- | --- | --- |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",0]
["|  | Synchronous | Asynchronous |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| procs | iters | t(sec) | [iters,iters]minmax | [t,t](sec)minmax | (cid:104)speedUp(cid:105) |\n| 2 | 44 | 179.2 | [68,69] | [86.3,94.5] | 1.98 |","| 4 | 44 | 331.4 | [82,111] | [139.2,153.1] | 2.27 |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 44 | 402.8 | 129,148] | [141.7,160.6] | 2.66 |",1]
["|  | Synchronous | Asynchronous |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| procs | iters | t(sec) | [iters,iters]minmax | [t,t](sec)minmax | (cid:104)speedUp(cid:105) |\n| 2 | 44 | 179.2 | [68,69] | [86.3,94.5] | 1.98 |","| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |\n| 3.175 |\n| 1.113 |",0]
["|  | Synchronous | Asynchronous |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| procs | iters | t(sec) | [iters,iters]minmax | [t,t](sec)minmax | (cid:104)speedUp(cid:105) |","| 2 | 44 | 179.2 | [68,69] | [86.3,94.5] | 1.98 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 44 | 331.4 | [82,111] | [139.2,153.1] | 2.27 |\n| 6 | 44 | 402.8 | 129,148] | [141.7,160.6] | 2.66 |",1]
["|  | Synchronous | Asynchronous |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| procs | iters | t(sec) | [iters,iters]minmax | [t,t](sec)minmax | (cid:104)speedUp(cid:105) |","| 4.572 |\n| --- |\n| 3.175 |\n| 1.113 |",0]
["| b | Levenshteindistance,lexiconofBulgarianwordforms |  |\n| --- | --- | --- |\n|  |  |  |","| 2 | 85.86 | 207.10 | 1980.55 |\n| --- | --- | --- | --- |\n| 3 | 105.28 | 510.04 | 9236.49 |\n| 4 | 420.32 | 1905.09 |  |",1]
["| b | Levenshteindistance,lexiconofBulgarianwordforms |  |\n| --- | --- | --- |\n|  |  |  |","| b | Levenshteindistance,lexiconofMEDLINEsentences |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 2 | 8.64 | 71.62 | 664.91 |\n| 3 | 10.72 | 145.60 | 2670.98 |\n| 4 | 13.55 | 727.22 |  |\n| 5 | 16.57 | 1357.87 |  |\n| 6 | 24.54 |  |  |\n| 7 | 27.23 |  |  |\n| 8 | 36.47 |  |  |\n| 9 | 40.68 |  |  |\n| 10 | 59.48 |  |  |\n| 11 | 62.36 |  |  |\n| 12 | 123.31 |  |  |\n| 13 | 123.84 |  |  |\n| 14 | 145.98 |  |  |\n| 15 | 146.11 |  |  |\n| 20 | 411.71 |  |  |\n| 30 | 1552.28 |  |  |\n| 40 | 4872.49 |  |  |\n| 50 | 23869.91 |  |  |",0]
["| b | Levenshteindistance,lexiconofBulgarianwordforms |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 2 | 85.86 | 207.10 | 1980.55 |","| 3 | 105.28 | 510.04 | 9236.49 |\n| --- | --- | --- | --- |\n| 4 | 420.32 | 1905.09 |  |",1]
["| b | Levenshteindistance,lexiconofBulgarianwordforms |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 2 | 85.86 | 207.10 | 1980.55 |","| 10 | 59.48 |  |  |\n| --- | --- | --- | --- |\n| 11 | 62.36 |  |  |\n| 12 | 123.31 |  |  |\n| 13 | 123.84 |  |  |\n| 14 | 145.98 |  |  |\n| 15 | 146.11 |  |  |\n| 20 | 411.71 |  |  |\n| 30 | 1552.28 |  |  |\n| 40 | 4872.49 |  |  |\n| 50 | 23869.91 |  |  |",0]
["| Formulation | SearchAlgorithm | max(n)GP,tot | ¯tc |\n| --- | --- | --- | --- |\n| Line-to-Line | 1-stage | ≈2700 | 1<br>1.7·10sec. |","| Line-to-Line | 2-stage | ≈2700 | −1<br>7.7·10sec. |\n| --- | --- | --- | --- |\n| ABC | 1-stage | ≈180 | 0<br>3.6·10sec. |\n| ABC | 2-stage | ≈180 | −2<br>7.6·10sec. |",1]
["| Formulation | SearchAlgorithm | max(n)GP,tot | ¯tc |\n| --- | --- | --- | --- |\n| Line-to-Line | 1-stage | ≈2700 | 1<br>1.7·10sec. |","| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |\n| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |\n| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| Formulation | SearchAlgorithm | max(n)GP,tot | ¯tc |\n| --- | --- | --- | --- |\n| Line-to-Line | 1-stage | ≈2700 | 1<br>1.7·10sec. |\n| Line-to-Line | 2-stage | ≈2700 | −1<br>7.7·10sec. |","| ABC | 1-stage | ≈180 | 0<br>3.6·10sec. |\n| --- | --- | --- | --- |\n| ABC | 2-stage | ≈180 | −2<br>7.6·10sec. |",1]
["| Formulation | SearchAlgorithm | max(n)GP,tot | ¯tc |\n| --- | --- | --- | --- |\n| Line-to-Line | 1-stage | ≈2700 | 1<br>1.7·10sec. |\n| Line-to-Line | 2-stage | ≈2700 | −1<br>7.7·10sec. |","| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| --- | --- | --- | --- | --- | --- |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",0]
["| Hashtag | Frequency |\n| --- | --- |\n| love | 152,930 |\n| follow | 101,048 |\n| instagood | 72,658 |","| me | 61,303 |\n| --- | --- |\n| like | 59,995 |\n| tbt | 56,636 |\n| cute | 54,736 |\n| photooftheday | 54,444 |\n| beautiful | 50,602 |\n| happy | 49027 |",1]
["| Hashtag | Frequency |\n| --- | --- |\n| love | 152,930 |\n| follow | 101,048 |\n| instagood | 72,658 |","| Tweets | 196,985,580 |\n| --- | --- |\n| Users | 9,801,062 |\n| Hashtags | 1,341,733 |\n| TweetswithHashtags | 19,043,104 |\n| Retweets | 15,126,588 |\n| TweetswithURLs | 54,443,857 |\n| Direct(@)Tweets | 41,951,786 |",0]
["| Hashtag | Frequency |\n| --- | --- |\n| love | 152,930 |","| follow | 101,048 |\n| --- | --- |\n| instagood | 72,658 |\n| me | 61,303 |\n| like | 59,995 |\n| tbt | 56,636 |\n| cute | 54,736 |\n| photooftheday | 54,444 |\n| beautiful | 50,602 |\n| happy | 49027 |",1]
["| Hashtag | Frequency |\n| --- | --- |\n| love | 152,930 |","| TweetswithURLs | 54,443,857 |\n| --- | --- |\n| Direct(@)Tweets | 41,951,786 |",0]
["| χN | fL/C | fC/S3 | fS/S34 | fS/S45 | fODT |\n| --- | --- | --- | --- | --- | --- |\n| 20 | 0.36797 | 0.25210 | 0.22436 | 0.21461 | 0.20541 |\n| 30 | 0.34531 | 0.20048 | 0.16643 | 0.15475 | 0.14434 |\n| 40 | 0.33601 | 0.17474 | 0.13631 | 0.12379 | 0.11347 |\n| 50 | 0.33120 | 0.15988 | 0.11714 | 0.10418 | 0.09439 |\n| 60 | 0.32828 | 0.15059 | 0.10379 | 0.09086 | 0.08086 |\n| 70 | 0.32629 | 0.14452 | 0.09387 | 0.08043 | 0.07143 |","| 80 | 0.32482 | 0.14057 | 0.08698 | 0.07143 | 0.06383 |\n| --- | --- | --- | --- | --- | --- |\n| 90 | 0.32392 | 0.13737 | 0.08029 | 0.06556 | 0.05789 |\n| 100 | 0.32303 | 0.13510 | 0.07535 | 0.05983 | 0.05332 |",1]
["| χN | fL/C | fC/S3 | fS/S34 | fS/S45 | fODT |\n| --- | --- | --- | --- | --- | --- |\n| 20 | 0.36797 | 0.25210 | 0.22436 | 0.21461 | 0.20541 |\n| 30 | 0.34531 | 0.20048 | 0.16643 | 0.15475 | 0.14434 |\n| 40 | 0.33601 | 0.17474 | 0.13631 | 0.12379 | 0.11347 |\n| 50 | 0.33120 | 0.15988 | 0.11714 | 0.10418 | 0.09439 |\n| 60 | 0.32828 | 0.15059 | 0.10379 | 0.09086 | 0.08086 |\n| 70 | 0.32629 | 0.14452 | 0.09387 | 0.08043 | 0.07143 |","| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |\n| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |\n| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["| χN | fL/C | fC/S3 | fS/S34 | fS/S45 | fODT |\n| --- | --- | --- | --- | --- | --- |\n| 20 | 0.36797 | 0.25210 | 0.22436 | 0.21461 | 0.20541 |\n| 30 | 0.34531 | 0.20048 | 0.16643 | 0.15475 | 0.14434 |\n| 40 | 0.33601 | 0.17474 | 0.13631 | 0.12379 | 0.11347 |","| 50 | 0.33120 | 0.15988 | 0.11714 | 0.10418 | 0.09439 |\n| --- | --- | --- | --- | --- | --- |\n| 60 | 0.32828 | 0.15059 | 0.10379 | 0.09086 | 0.08086 |\n| 70 | 0.32629 | 0.14452 | 0.09387 | 0.08043 | 0.07143 |\n| 80 | 0.32482 | 0.14057 | 0.08698 | 0.07143 | 0.06383 |\n| 90 | 0.32392 | 0.13737 | 0.08029 | 0.06556 | 0.05789 |\n| 100 | 0.32303 | 0.13510 | 0.07535 | 0.05983 | 0.05332 |",1]
["| χN | fL/C | fC/S3 | fS/S34 | fS/S45 | fODT |\n| --- | --- | --- | --- | --- | --- |\n| 20 | 0.36797 | 0.25210 | 0.22436 | 0.21461 | 0.20541 |\n| 30 | 0.34531 | 0.20048 | 0.16643 | 0.15475 | 0.14434 |\n| 40 | 0.33601 | 0.17474 | 0.13631 | 0.12379 | 0.11347 |","| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |\n| --- | --- | --- | --- | --- |\n| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["| Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |\n| 100K | 16 | 37.2 | 61.7 | 0.43 | 0.26 |\n| 200K | 32 | 36.4 | 65.7 | 0.88 | 0.49 |\n| 500K | 62 | 41.7 | 69.2 | 1.49 | 0.90 |","| 1M | 109 | 44.8 | 73.9 | 2.43 | 1.47 |\n| --- | --- | --- | --- | --- | --- |\n| 2M | 234 | 55.9 | 86.2 | 4.19 | 2.71 |\n| 5M | 561 | 77.9 | 118.5 | 7.20 | 4.73 |\n| 10M | 1029 | 124.7 | 161.7 | 8.25 | 6.36 |\n| 20M | 2262 | 206.0 | 272.5 | 10.98 | 8.30 |",1]
["| Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |\n| 100K | 16 | 37.2 | 61.7 | 0.43 | 0.26 |\n| 200K | 32 | 36.4 | 65.7 | 0.88 | 0.49 |\n| 500K | 62 | 41.7 | 69.2 | 1.49 | 0.90 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["| Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |\n| 100K | 16 | 37.2 | 61.7 | 0.43 | 0.26 |\n| 200K | 32 | 36.4 | 65.7 | 0.88 | 0.49 |\n| 500K | 62 | 41.7 | 69.2 | 1.49 | 0.90 |\n| 1M | 109 | 44.8 | 73.9 | 2.43 | 1.47 |\n| 2M | 234 | 55.9 | 86.2 | 4.19 | 2.71 |","| 5M | 561 | 77.9 | 118.5 | 7.20 | 4.73 |\n| --- | --- | --- | --- | --- | --- |\n| 10M | 1029 | 124.7 | 161.7 | 8.25 | 6.36 |\n| 20M | 2262 | 206.0 | 272.5 | 10.98 | 8.30 |",1]
["| Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |\n| 100K | 16 | 37.2 | 61.7 | 0.43 | 0.26 |\n| 200K | 32 | 36.4 | 65.7 | 0.88 | 0.49 |\n| 500K | 62 | 41.7 | 69.2 | 1.49 | 0.90 |\n| 1M | 109 | 44.8 | 73.9 | 2.43 | 1.47 |\n| 2M | 234 | 55.9 | 86.2 | 4.19 | 2.71 |","| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["| WSJ10 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |","| 75.3<br>74.6 | 76.1<br>66.7 | 75.7<br>70.5 | 58.7<br>60.0 | 55.9<br>49.4 |\n| --- | --- | --- | --- | --- |\n| 65.5 | 83.6 | 73.4 | 47.0 | 63.6 |\n| 55.2 | 70.0 | 61.7 | 35.4 | 47.4 |",1]
["| WSJ10 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |","| WSJ10test |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |\n| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |\n| 64.5 | 82.6 | 72.4 | 53.0 | 70.5 |\n| 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |",0]
["| WSJ10 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |","| 75.3<br>74.6 | 76.1<br>66.7 | 75.7<br>70.5 | 58.7<br>60.0 | 55.9<br>49.4 |\n| --- | --- | --- | --- | --- |\n| 65.5 | 83.6 | 73.4 | 47.0 | 63.6 |\n| 55.2 | 70.0 | 61.7 | 35.4 | 47.4 |",1]
["| WSJ10 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |","| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |\n| --- | --- | --- | --- | --- |\n| 64.5 | 82.6 | 72.4 | 53.0 | 70.5 |\n| 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |",0]
["| Method | σ=5 | σ=15 | σ=25 | σ=35 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| CBM3D | 40.25 | 33.50 | 30.68 | 28.87 | 27.36 |\n| BM3D-Net | - | 33.79 | 30.91 | - | 27.48 |\n| CNL-Net | - | 33.69 | 30.96 | - | 27.64 |\n| IRCNN | 40.36 | 33.86 | 31.16 | 29.50 | 27.86 |","| Proposed(Initial) | 40.03 | 33.59 | 31.00 | 29.40 | 27.83 |\n| --- | --- | --- | --- | --- | --- |\n| Proposed(Final) | 40.33 | 33.85 | 31.22 | 29.59 | 27.97 |",1]
["| Method | σ=5 | σ=15 | σ=25 | σ=35 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| CBM3D | 40.25 | 33.50 | 30.68 | 28.87 | 27.36 |\n| BM3D-Net | - | 33.79 | 30.91 | - | 27.48 |\n| CNL-Net | - | 33.69 | 30.96 | - | 27.64 |\n| IRCNN | 40.36 | 33.86 | 31.16 | 29.50 | 27.86 |","| Method | σ=25 | σ=50 | σ=75 | σ=100 |\n| --- | --- | --- | --- | --- |\n| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |\n| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |\n| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |\n| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |\n| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |\n| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 |\n| MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |\n| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 |",0]
["| Method | σ=5 | σ=15 | σ=25 | σ=35 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| CBM3D | 40.25 | 33.50 | 30.68 | 28.87 | 27.36 |","| BM3D-Net | - | 33.79 | 30.91 | - | 27.48 |\n| --- | --- | --- | --- | --- | --- |\n| CNL-Net | - | 33.69 | 30.96 | - | 27.64 |\n| IRCNN | 40.36 | 33.86 | 31.16 | 29.50 | 27.86 |\n| Proposed(Initial) | 40.03 | 33.59 | 31.00 | 29.40 | 27.83 |\n| Proposed(Final) | 40.33 | 33.85 | 31.22 | 29.59 | 27.97 |",1]
["| Method | σ=5 | σ=15 | σ=25 | σ=35 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| CBM3D | 40.25 | 33.50 | 30.68 | 28.87 | 27.36 |","| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |\n| --- | --- | --- | --- | --- |\n| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |\n| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |\n| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 |\n| MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |\n| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 |",0]
["| Trees | TreeA | TreeB | TreeC |\n| --- | --- | --- | --- |\n| SynsetID | 12638 | 19919 | 23733 |\n| Name | consumergoods | animal | food,nutrient |","| h=4 | 187 | 207 | 572 |\n| --- | --- | --- | --- |\n| h=5 | 362 | 415 | 890 |\n| h=6 | 493 | 800 | 1166 |\n| h=7 | 524 | 1386 | 1326 |",1]
["| Trees | TreeA | TreeB | TreeC |\n| --- | --- | --- | --- |\n| SynsetID | 12638 | 19919 | 23733 |\n| Name | consumergoods | animal | food,nutrient |","| No. | Class | Total | Training | Test | No. | Class | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |\n| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |\n| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |\n| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |\n| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |\n| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |\n| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",0]
["| Trees | TreeA | TreeB | TreeC |\n| --- | --- | --- | --- |\n| SynsetID | 12638 | 19919 | 23733 |\n| Name | consumergoods | animal | food,nutrient |\n| h=4 | 187 | 207 | 572 |\n| h=5 | 362 | 415 | 890 |","| h=6 | 493 | 800 | 1166 |\n| --- | --- | --- | --- |\n| h=7 | 524 | 1386 | 1326 |",1]
["| Trees | TreeA | TreeB | TreeC |\n| --- | --- | --- | --- |\n| SynsetID | 12638 | 19919 | 23733 |\n| Name | consumergoods | animal | food,nutrient |\n| h=4 | 187 | 207 | 572 |\n| h=5 | 362 | 415 | 890 |","| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |\n| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |\n| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |\n| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |\n| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",0]
["| NumberofMoves | 0 | 3 | 5 | 10 | 20 |\n| --- | --- | --- | --- | --- | --- |\n| Method | Split1 |  |  |  |  |","| Ours | .30 | .43 | .45 | .49 | .51 |\n| --- | --- | --- | --- | --- | --- |\n| Random | .30 | .26 | .28 | .28 | .33 |\n| Forward | .30 | .29 | .29 | .29 | .29 |\n|  | Split2 |  |  |  |  |\n| Ours | .25 | .40 | .46 | .52 | .53 |\n| Random | .25 | .24 | .26 | .29 | .33 |\n| Forward | .25 | .29 | .30 | .31 | .31 |\n|  | Split3 |  |  |  |  |\n| Ours | .42 | .56 | .62 | .67 | .73 |\n| Random | .42 | .38 | .40 | .42 | .46 |\n| Forward | .42 | .39 | .39 | .40 | .40 |",1]
["| NumberofMoves | 0 | 3 | 5 | 10 | 20 |\n| --- | --- | --- | --- | --- | --- |\n| Method | Split1 |  |  |  |  |","| Method | top-1 | top-5 | top-10 |\n| --- | --- | --- | --- |\n| Ours-cls | 75.90 | 94.55 | 97.85 |\n| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |\n| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",0]
["| NumberofMoves | 0 | 3 | 5 | 10 | 20 |\n| --- | --- | --- | --- | --- | --- |\n| Method | Split1 |  |  |  |  |\n| Ours | .30 | .43 | .45 | .49 | .51 |\n| Random | .30 | .26 | .28 | .28 | .33 |\n| Forward | .30 | .29 | .29 | .29 | .29 |\n|  | Split2 |  |  |  |  |\n| Ours | .25 | .40 | .46 | .52 | .53 |","| Random | .25 | .24 | .26 | .29 | .33 |\n| --- | --- | --- | --- | --- | --- |\n| Forward | .25 | .29 | .30 | .31 | .31 |\n|  | Split3 |  |  |  |  |\n| Ours | .42 | .56 | .62 | .67 | .73 |\n| Random | .42 | .38 | .40 | .42 | .46 |\n| Forward | .42 | .39 | .39 | .40 | .40 |",1]
["| NumberofMoves | 0 | 3 | 5 | 10 | 20 |\n| --- | --- | --- | --- | --- | --- |\n| Method | Split1 |  |  |  |  |\n| Ours | .30 | .43 | .45 | .49 | .51 |\n| Random | .30 | .26 | .28 | .28 | .33 |\n| Forward | .30 | .29 | .29 | .29 | .29 |\n|  | Split2 |  |  |  |  |\n| Ours | .25 | .40 | .46 | .52 | .53 |","| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| --- | --- | --- | --- |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |\n| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",0]
["| Method | PartA | PartB |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MSE | MAE | MSE |  |\n| LBP+RR | 303.2 | 371.0 | 59.1 | 81.7 |","| Zhangetal. | 181.8 | 277.7 | 32.0 | 49.8 |\n| --- | --- | --- | --- | --- |\n| MCNN | 110.2 | 173.2 | 26.4 | 41.3 |\n| Proposed | 79.1 | 130.1 | 17.8 | 26.0 |",1]
["| Method | PartA | PartB |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MSE | MAE | MSE |  |\n| LBP+RR | 303.2 | 371.0 | 59.1 | 81.7 |","| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 75.9 | 109.2 | 16.5 |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",0]
["| Method | PartA | PartB |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MSE | MAE | MSE |  |\n| LBP+RR | 303.2 | 371.0 | 59.1 | 81.7 |\n| Zhangetal. | 181.8 | 277.7 | 32.0 | 49.8 |","| MCNN | 110.2 | 173.2 | 26.4 | 41.3 |\n| --- | --- | --- | --- | --- |\n| Proposed | 79.1 | 130.1 | 17.8 | 26.0 |",1]
["| Method | PartA | PartB |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MSE | MAE | MSE |  |\n| LBP+RR | 303.2 | 371.0 | 59.1 | 81.7 |\n| Zhangetal. | 181.8 | 277.7 | 32.0 | 49.8 |","| 83.1 | 120.4 | 20.1 |\n| --- | --- | --- |\n| 75.9 | 109.2 | 16.5 |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",0]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |\n| 22.248.261.44.8 |","| 18.440.250.910 |\n| --- |\n| 23.050.762.95 |\n| 26.652.063.75 |",1]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |\n| 22.248.261.44.8 |","| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |\n| 2.56.79.7714 |\n| 0.00.41.21348 |\n| 0.10.71.11103 |\n| 1.25.79.5360 |\n| 1.45.78.9278 |\n| 10.429.340.017 |",0]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |","| 22.248.261.44.8 |\n| --- |\n| 18.440.250.910 |\n| 23.050.762.95 |\n| 26.652.063.75 |",1]
["| Imagetosentence |\n| --- |\n| R@1R@5R@10Medianrank |","| 0.00.41.21348 |\n| --- |\n| 0.10.71.11103 |\n| 1.25.79.5360 |\n| 1.45.78.9278 |\n| 10.429.340.017 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |\n| 222CNN | 101 | 74 | 5 | 27 | 0.937 | 0.733 | 0.822 | 309 | 273 | 11 | 36 | 0.961 |\n| 224ABC | 131 | 108 | 10 | 23 | 0.915 | 0.824 | 0.867 | 296 | 281 | 13 | 15 | 0.956 |\n| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |\n| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |\n| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |","| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |\n| 222CNN | 101 | 74 | 5 | 27 | 0.937 | 0.733 | 0.822 | 309 | 273 | 11 | 36 | 0.961 |\n| 224ABC | 131 | 108 | 10 | 23 | 0.915 | 0.824 | 0.867 | 296 | 281 | 13 | 15 | 0.956 |\n| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |\n| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |\n| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |\n| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |","| 222CNN | 101 | 74 | 5 | 27 | 0.937 | 0.733 | 0.822 | 309 | 273 | 11 | 36 | 0.961 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 224ABC | 131 | 108 | 10 | 23 | 0.915 | 0.824 | 0.867 | 296 | 281 | 13 | 15 | 0.956 |\n| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |\n| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |\n| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |\n| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |\n| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |","| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |","| 80.55 | 94.65 | 98.26 | 0.399 |\n| --- | --- | --- | --- |\n| 80.39 | 94.67 | 98.31 | 0.400 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 79.69 | 94.28 | 98.09 | 0.411 |",1]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |","| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |","| 80.39 | 94.67 | 98.31 | 0.400 |\n| --- | --- | --- | --- |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 79.69 | 94.28 | 98.09 | 0.411 |",1]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |","| 78.70 | 94.06 | 98.13 | 0.419 |\n| --- | --- | --- | --- |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| Dataset | Size | Dataset | Size |\n| --- | --- | --- | --- |\n| Coﬀeeshops1 | 1733 | Inn1 | 1108 |\n| Coﬀeeshops2 | 1807 | Inn2 | 1265 |","| Starbucks | 149 | Home-Inn | 235 |\n| --- | --- | --- | --- |\n| Costa | 75 | JinJiang | 57 |",1]
["| Dataset | Size | Dataset | Size |\n| --- | --- | --- | --- |\n| Coﬀeeshops1 | 1733 | Inn1 | 1108 |\n| Coﬀeeshops2 | 1807 | Inn2 | 1265 |","| Dataset | No.ofimages | Resolution | Min | Ave | Max | Totalcount |\n| --- | --- | --- | --- | --- | --- | --- |\n| UCSD | 2000 | 158x238 | 11 | 25 | 46 | 49,885 |\n| Mall | 2000 | 320x240 | 13 | - | 53 | 62,325 |\n| UCFCC50 | 50 | Varied | 94 | 1279 | 4543 | 63,974 |\n| WorldExpo’10 | 3980 | 576x720 | 1 | 50 | 253 | 199,923 |\n| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |\n| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 |",0]
["| Dataset | Size | Dataset | Size |\n| --- | --- | --- | --- |\n| Coﬀeeshops1 | 1733 | Inn1 | 1108 |","| Coﬀeeshops2 | 1807 | Inn2 | 1265 |\n| --- | --- | --- | --- |\n| Starbucks | 149 | Home-Inn | 235 |\n| Costa | 75 | JinJiang | 57 |",1]
["| Dataset | Size | Dataset | Size |\n| --- | --- | --- | --- |\n| Coﬀeeshops1 | 1733 | Inn1 | 1108 |","| ShanghaiTechPartA | 482 | Varied | 33 | 501 | 3139 | 241,677 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ShanghaiTechPartB | 716 | 768x1024 | 9 | 123 | 578 | 88,488 |",0]
["|  | broccoli<br>RMSEranktime | cabbage<br>RMSEranktime |\n| --- | --- | --- |\n| AIS-Impute | 0.275±0.00134560±90 | 0.180±0.00128493±46 |","| LMaFit | 0.302±0.00126±2 | 0.181±0.00136±3 |\n| --- | --- | --- |\n| ER1MP | 0.344±0.0022188±12 | 0.252±0.0034175±23 |\n| FaNCL | 0.252±0.00396079±1378 | 0.149±0.001103243±163 |\n| FaNCL-acc | 0.251±0.0049274±77 | 0.149±0.00110221±12 |",1]
["|  | broccoli<br>RMSEranktime | cabbage<br>RMSEranktime |\n| --- | --- | --- |\n| AIS-Impute | 0.275±0.00134560±90 | 0.180±0.00128493±46 |","|  | tree<br>RMSEranktime | rice<br>RMSEranktime |\n| --- | --- | --- |\n| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |\n| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |\n| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |\n| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 |\n| ER1MP | 0.473±0.001191.5±0.2 | 0.295±0.002222.2±0.6 |\n| IRNN | 0.416±0.00312204.9±19.0 | 0.197±0.00315480.0±50.5 |\n| GPG | 0.417±0.00412195.9±17.5 | 0.197±0.00315464.3±55.0 |\n| FaNCL | 0.416±0.0021210.6±1.8 | 0.198±0.0041525.0±1.8 |\n| FaNCL-acc | 0.414±0.001125.4±0.8 | 0.197±0.001158.4±1.2 |",0]
["|  | broccoli<br>RMSEranktime | cabbage<br>RMSEranktime |\n| --- | --- | --- |\n| AIS-Impute | 0.275±0.00134560±90 | 0.180±0.00128493±46 |\n| LMaFit | 0.302±0.00126±2 | 0.181±0.00136±3 |\n| ER1MP | 0.344±0.0022188±12 | 0.252±0.0034175±23 |","| FaNCL | 0.252±0.00396079±1378 | 0.149±0.001103243±163 |\n| --- | --- | --- |\n| FaNCL-acc | 0.251±0.0049274±77 | 0.149±0.00110221±12 |",1]
["|  | broccoli<br>RMSEranktime | cabbage<br>RMSEranktime |\n| --- | --- | --- |\n| AIS-Impute | 0.275±0.00134560±90 | 0.180±0.00128493±46 |\n| LMaFit | 0.302±0.00126±2 | 0.181±0.00136±3 |\n| ER1MP | 0.344±0.0022188±12 | 0.252±0.0034175±23 |","| GPG | 0.417±0.00412195.9±17.5 | 0.197±0.00315464.3±55.0 |\n| --- | --- | --- |\n| FaNCL | 0.416±0.0021210.6±1.8 | 0.198±0.0041525.0±1.8 |\n| FaNCL-acc | 0.414±0.001125.4±0.8 | 0.197±0.001158.4±1.2 |",0]
["| n | D(n) | D(n)f | D(n)/D(n)f |\n| --- | --- | --- | --- |\n| 4 | 7 | 6 | 0.857143 |\n| 5 | 20 | 18 | 0.900000 |\n| 6 | 71 | 63 | 0.887324 |\n| 7 | 240 | 216 | 0.900000 |\n| 8 | 871 | 783 | 0.898967 |","| 9 | 3148 | 2843 | 0.903113 |\n| --- | --- | --- | --- |\n| 10 | 11655 | 10535 | 0.903904 |\n| 11 | 43332 | 39232 | 0.905382 |\n| 12 | 162769 | 147457 | 0.905928 |\n| 13 | 614198 | 556859 | 0.906644 |\n| 14 | 2330537 | 2113982 | 0.907079 |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",1]
["| n | D(n) | D(n)f | D(n)/D(n)f |\n| --- | --- | --- | --- |\n| 4 | 7 | 6 | 0.857143 |\n| 5 | 20 | 18 | 0.900000 |\n| 6 | 71 | 63 | 0.887324 |\n| 7 | 240 | 216 | 0.900000 |\n| 8 | 871 | 783 | 0.898967 |","| n | g(n) | g(n)f | g(n)/g(n)f |\n| --- | --- | --- | --- |\n| 10 | 17 | 8 | 0.470588 |\n| 20 | 244 | 81 | 0.331967 |\n| 30 | 2136 | 586 | 0.274345 |\n| 40 | 14048 | 3308 | 0.235478 |\n| 50 | 76104 | 15748 | 0.206927 |\n| 60 | 357635 | 66843 | 0.186903 |\n| 70 | 1503172 | 256347 | 0.170537 |\n| 80 | 5777292 | 909945 | 0.157504 |\n| 90 | 20614755 | 3026907 | 0.146832 |\n| 100 | 69065657 | 9512939 | 0.137738 |\n| 110 | 219186741 | 28504221 | 0.130045 |\n| 120 | 663394137 | 81823499 | 0.123341 |\n| 130 | 1925513465 | 226224550 | 0.117488 |\n| 140 | 5383833857 | 604601758 | 0.112299 |\n| 150 | 14555902348 | 1567370784 | 0.107679 |\n| 160 | 38173235010 | 3951974440 | 0.103527 |\n| 170 | 97368672089 | 9714690421 | 0.099772 |",0]
["| n | D(n) | D(n)f | D(n)/D(n)f |\n| --- | --- | --- | --- |\n| 4 | 7 | 6 | 0.857143 |\n| 5 | 20 | 18 | 0.900000 |\n| 6 | 71 | 63 | 0.887324 |","| 7 | 240 | 216 | 0.900000 |\n| --- | --- | --- | --- |\n| 8 | 871 | 783 | 0.898967 |\n| 9 | 3148 | 2843 | 0.903113 |\n| 10 | 11655 | 10535 | 0.903904 |\n| 11 | 43332 | 39232 | 0.905382 |\n| 12 | 162769 | 147457 | 0.905928 |\n| 13 | 614198 | 556859 | 0.906644 |\n| 14 | 2330537 | 2113982 | 0.907079 |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",1]
["| n | D(n) | D(n)f | D(n)/D(n)f |\n| --- | --- | --- | --- |\n| 4 | 7 | 6 | 0.857143 |\n| 5 | 20 | 18 | 0.900000 |\n| 6 | 71 | 63 | 0.887324 |","| 100 | 69065657 | 9512939 | 0.137738 |\n| --- | --- | --- | --- |\n| 110 | 219186741 | 28504221 | 0.130045 |\n| 120 | 663394137 | 81823499 | 0.123341 |\n| 130 | 1925513465 | 226224550 | 0.117488 |\n| 140 | 5383833857 | 604601758 | 0.112299 |\n| 150 | 14555902348 | 1567370784 | 0.107679 |\n| 160 | 38173235010 | 3951974440 | 0.103527 |\n| 170 | 97368672089 | 9714690421 | 0.099772 |",0]
["| AccuracyRate<br>ExaminerPrecisionRecallF-measure |  |  |  |\n| --- | --- | --- | --- |\n| Examiner2 | .43 | 1 | .60 |\n| Examiner5 | 1 | .47 | .64 |\n| Examiner1 | .83 | .26 | .40 |","| Examiner3 | .25 | 1 | .41 |\n| --- | --- | --- | --- |\n| Examiner4 | .48 | 1 | .64 |",1]
["| AccuracyRate<br>ExaminerPrecisionRecallF-measure |  |  |  |\n| --- | --- | --- | --- |\n| Examiner2 | .43 | 1 | .60 |\n| Examiner5 | 1 | .47 | .64 |\n| Examiner1 | .83 | .26 | .40 |","| Expert | System |  |  |\n| --- | --- | --- | --- |\n| Precision | Recall | F-measure |  |\n| ExpertA | 75.38 | 29.09 | 0.42 |\n| ExpertB | 77.08 | 25.23 | 0.38 |\n| ExpertC | 73.85 | 37.88 | 0.50 |",0]
["| AccuracyRate<br>ExaminerPrecisionRecallF-measure |  |  |  |\n| --- | --- | --- | --- |\n| Examiner2 | .43 | 1 | .60 |","| Examiner5 | 1 | .47 | .64 |\n| --- | --- | --- | --- |\n| Examiner1 | .83 | .26 | .40 |\n| Examiner3 | .25 | 1 | .41 |\n| Examiner4 | .48 | 1 | .64 |",1]
["| AccuracyRate<br>ExaminerPrecisionRecallF-measure |  |  |  |\n| --- | --- | --- | --- |\n| Examiner2 | .43 | 1 | .60 |","| ExpertA | 75.38 | 29.09 | 0.42 |\n| --- | --- | --- | --- |\n| ExpertB | 77.08 | 25.23 | 0.38 |\n| ExpertC | 73.85 | 37.88 | 0.50 |",0]
["| Model | IBMDNES-309170W |\n| --- | --- |\n| DiskCapacity | C=9.17GB |\n| Numberofcylinders/zones | 11,474/11 |\n| Trackspercylinder | 5 |\n| Rotationsperminute | 7200RPM |\n| Diskrotationtime | T=8.33msrot |\n|  | latrot |\n| Headsettlingtime | T=0.14msh |\n|  | seek |","|  | xfer |\n| --- | --- |\n| SR | seeklatxfer |\n|  | SR |\n|  | SWSRh |\n|  | RMWSRrot |",1]
["| Model | IBMDNES-309170W |\n| --- | --- |\n| DiskCapacity | C=9.17GB |\n| Numberofcylinders/zones | 11,474/11 |\n| Trackspercylinder | 5 |\n| Rotationsperminute | 7200RPM |\n| Diskrotationtime | T=8.33msrot |\n|  | latrot |\n| Headsettlingtime | T=0.14msh |\n|  | seek |","| Hardware | Model |\n| --- | --- |\n| GPU | NVIDIATeslaP40 |\n| CPU | IntelXeonE5-2650v4Dual |\n| Network | 56GbpsInﬁniBand+1GbpsEthernet |\n| Memory | 128GBDDR4 |\n| Harddisk | SSD6T(x2withRAID0)inNode0,<br>andothersareHDD1T(x4withRAID5).<br>Eachnodehasonecopyofthedataset |",0]
["| Model | IBMDNES-309170W |\n| --- | --- |\n| DiskCapacity | C=9.17GB |\n| Numberofcylinders/zones | 11,474/11 |\n| Trackspercylinder | 5 |\n| Rotationsperminute | 7200RPM |\n| Diskrotationtime | T=8.33msrot |\n|  | latrot |","| Headsettlingtime | T=0.14msh |\n| --- | --- |\n|  | seek |\n|  | xfer |\n| SR | seeklatxfer |\n|  | SR |\n|  | SWSRh |\n|  | RMWSRrot |",1]
["| Model | IBMDNES-309170W |\n| --- | --- |\n| DiskCapacity | C=9.17GB |\n| Numberofcylinders/zones | 11,474/11 |\n| Trackspercylinder | 5 |\n| Rotationsperminute | 7200RPM |\n| Diskrotationtime | T=8.33msrot |\n|  | latrot |","| Memory | 128GBDDR4 |\n| --- | --- |\n| Harddisk | SSD6T(x2withRAID0)inNode0,<br>andothersareHDD1T(x4withRAID5).<br>Eachnodehasonecopyofthedataset |",0]
["| Problem | VR | Q | Q’ | No.vehicles | No.Routes |\n| --- | --- | --- | --- | --- | --- |\n| 11eil51 | 2 | 160 | 320 | 6 | 3 |\n| 16eil76A | 2 | 140 | 280 | 10 | 5 |","| 16eil76B | 3 | 100 | 300 | 15 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 16eil76C | 2 | 180 | 360 | 8 | 4 |\n| 16eil76D | 2 | 220 | 440 | 6 | 3 |\n| 21eil101A | 2 | 200 | 400 | 8 | 4 |\n| 21eil101B | 2 | 112 | 224 | 14 | 7 |",1]
["| Problem | VR | Q | Q’ | No.vehicles | No.Routes |\n| --- | --- | --- | --- | --- | --- |\n| 11eil51 | 2 | 160 | 320 | 6 | 3 |\n| 16eil76A | 2 | 140 | 280 | 10 | 5 |","|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 395.82 | 254.49 | 307.9 | 215.35 | 146.35 |\n| Q2 | 181.91 | 165.32 | 160.97 | 150.87 | 144.49 |\n| Q3 | 354.55 | 192.83 | 231.96 | 156.26 | 106.05 |\n| Q4 | 705.96 | 737.82 | 725.21 | 292.48 | 196.56 |\n| Q5 | 178.55 | 161.36 | 168.21 | 167.29 | 147.78 |\n| Q7 | 889.83 | 602.84 | 569.87 | 446.54 | 335.63 |\n| Q8 | 271.94 | 202.84 | 247.64 | 184.74 | 146.29 |\n| Q9 | 615.42 | 457.34 | 349.46 | 259.7 | 137.27 |\n| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",0]
["| Problem | VR | Q | Q’ | No.vehicles | No.Routes |\n| --- | --- | --- | --- | --- | --- |\n| 11eil51 | 2 | 160 | 320 | 6 | 3 |\n| 16eil76A | 2 | 140 | 280 | 10 | 5 |","| 16eil76B | 3 | 100 | 300 | 15 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 16eil76C | 2 | 180 | 360 | 8 | 4 |\n| 16eil76D | 2 | 220 | 440 | 6 | 3 |\n| 21eil101A | 2 | 200 | 400 | 8 | 4 |\n| 21eil101B | 2 | 112 | 224 | 14 | 7 |",1]
["| Problem | VR | Q | Q’ | No.vehicles | No.Routes |\n| --- | --- | --- | --- | --- | --- |\n| 11eil51 | 2 | 160 | 320 | 6 | 3 |\n| 16eil76A | 2 | 140 | 280 | 10 | 5 |","| Q9 | 615.42 | 457.34 | 349.46 | 259.7 | 137.27 |\n| --- | --- | --- | --- | --- | --- |\n| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",0]
["| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |","| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| --- | --- |\n| - | - |",1]
["| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |","| - | - |\n| --- | --- |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>3x3 | 1<br>1 |",0]
["| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |","| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",1]
["| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |","| 3x3<br>2x2 | 1<br>2 |\n| --- | --- |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>2x2 | 1<br>2 |\n| 3x3<br>3x3 | 1<br>1 |",0]
["| Homosapiens75 |  |  |  |\n| --- | --- | --- | --- |\n| Subsampleperc | Total | node1 | node2 |","| 25 | 86.5 | 80.1 | 86.5 |\n| --- | --- | --- | --- |\n| 55 | 88.8 | 88.8 | 88.3 |\n| 75 | 85.8 | 71.5 | 85.8 |\n| 90 | 84.9 | 69.1 | 84.9 |\n| 100 | 95.3 | 80.9 | 95.3 |\n| Sequential | 94 |  |  |",1]
["| Homosapiens75 |  |  |  |\n| --- | --- | --- | --- |\n| Subsampleperc | Total | node1 | node2 |","| Homosapiens75 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Run1 | Run2 |  |  |  |  |  |\n| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| 25 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 55 | 0 | 0 | 2 | 0 | 1 | 1 |\n| 75 | 1 | 1 | 2 | 1 | 1 | 3 |\n| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| Homosapiens75 |  |  |  |\n| --- | --- | --- | --- |\n| Subsampleperc | Total | node1 | node2 |\n| 25 | 86.5 | 80.1 | 86.5 |","| 55 | 88.8 | 88.8 | 88.3 |\n| --- | --- | --- | --- |\n| 75 | 85.8 | 71.5 | 85.8 |\n| 90 | 84.9 | 69.1 | 84.9 |\n| 100 | 95.3 | 80.9 | 95.3 |\n| Sequential | 94 |  |  |",1]
["| Homosapiens75 |  |  |  |\n| --- | --- | --- | --- |\n| Subsampleperc | Total | node1 | node2 |\n| 25 | 86.5 | 80.1 | 86.5 |","| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 25 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 55 | 0 | 0 | 2 | 0 | 1 | 1 |\n| 75 | 1 | 1 | 2 | 1 | 1 | 3 |\n| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| Tab.??name | DIMACSname | \\|V\\| | d | avgdeg./std.dev. |\n| --- | --- | --- | --- | --- |\n| g1 | david.col | 87 | 0.11 | 9.33/10.49 |\n| g2 | huck.col | 74 | 0.11 | 8.14/7.34 |\n| g3 | jean.col | 80 | 0.08 | 6.35/6.02 |\n| g4 | queen812.col | 96 | 0.30 | 28.5/2.29 |","| g5 | queen88.col | 64 | 0.36 | 22.75/1.85 |\n| --- | --- | --- | --- | --- |\n| g6 | queen99.col | 81 | 0.33 | 26.07/2.09 |",1]
["| Tab.??name | DIMACSname | \\|V\\| | d | avgdeg./std.dev. |\n| --- | --- | --- | --- | --- |\n| g1 | david.col | 87 | 0.11 | 9.33/10.49 |\n| g2 | huck.col | 74 | 0.11 | 8.14/7.34 |\n| g3 | jean.col | 80 | 0.08 | 6.35/6.02 |\n| g4 | queen812.col | 96 | 0.30 | 28.5/2.29 |","| Time(s) | Exp2 | Branin | Hart. | Michal. | Walker | MCar | LogR | OnLDA | HPNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #dims | 2 | 2 | 6 | 10 | 8 | 7 | 4 | 3 | 14 |\n| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |\n| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |\n| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |\n| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 |",0]
["| Tab.??name | DIMACSname | \\|V\\| | d | avgdeg./std.dev. |\n| --- | --- | --- | --- | --- |\n| g1 | david.col | 87 | 0.11 | 9.33/10.49 |\n| g2 | huck.col | 74 | 0.11 | 8.14/7.34 |\n| g3 | jean.col | 80 | 0.08 | 6.35/6.02 |","| g4 | queen812.col | 96 | 0.30 | 28.5/2.29 |\n| --- | --- | --- | --- | --- |\n| g5 | queen88.col | 64 | 0.36 | 22.75/1.85 |\n| g6 | queen99.col | 81 | 0.33 | 26.07/2.09 |",1]
["| Tab.??name | DIMACSname | \\|V\\| | d | avgdeg./std.dev. |\n| --- | --- | --- | --- | --- |\n| g1 | david.col | 87 | 0.11 | 9.33/10.49 |\n| g2 | huck.col | 74 | 0.11 | 8.14/7.34 |\n| g3 | jean.col | 80 | 0.08 | 6.35/6.02 |","| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |\n| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 |",0]
["| Parameter | Value | Parameter | Value |\n| --- | --- | --- | --- |\n| c | 1−5 | r | 0.002−0.05 |\n| k | 10−250 | Pagesize | 4KB |\n| Pageacc.time | 2ms |  |  |\n| Gowalla |  |  |  |\n| User# | 107,092 | Edge# | 456,830 |\n| Maxdegree | 9,967 | Avg.degree | 9.177 |\n| Maxcorenum. | 43 | Avg.corenum. | 4.839 |\n| Datasetsize | 27.2MB |  |  |\n| Dianping |  |  |  |\n| User# | 2,673,970 | Edge# | 922,977 |\n| Maxdegree | 11423 | Avg.degree | 5.184 |","| Maxcorenum. | 24 | Avg.corenum. | 2.741 |\n| --- | --- | --- | --- |\n| Datasize | 162M |  |  |\n| Twitter-2010 |  |  |  |\n| User# | 41,652,098 | Edge# | 684,500,219 |\n| Maxdegree | 1,405,986 | Avg.degree | 30.453 |\n| Maxcorenum. | 2,059 | Avg.corenum. | 14.692 |\n| Datasetsize | 29.7GB |  |  |",1]
["| Parameter | Value | Parameter | Value |\n| --- | --- | --- | --- |\n| c | 1−5 | r | 0.002−0.05 |\n| k | 10−250 | Pagesize | 4KB |\n| Pageacc.time | 2ms |  |  |\n| Gowalla |  |  |  |\n| User# | 107,092 | Edge# | 456,830 |\n| Maxdegree | 9,967 | Avg.degree | 9.177 |\n| Maxcorenum. | 43 | Avg.corenum. | 4.839 |\n| Datasetsize | 27.2MB |  |  |\n| Dianping |  |  |  |\n| User# | 2,673,970 | Edge# | 922,977 |\n| Maxdegree | 11423 | Avg.degree | 5.184 |","| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| Parameter | Value | Parameter | Value |\n| --- | --- | --- | --- |\n| c | 1−5 | r | 0.002−0.05 |\n| k | 10−250 | Pagesize | 4KB |\n| Pageacc.time | 2ms |  |  |\n| Gowalla |  |  |  |\n| User# | 107,092 | Edge# | 456,830 |","| Maxdegree | 9,967 | Avg.degree | 9.177 |\n| --- | --- | --- | --- |\n| Maxcorenum. | 43 | Avg.corenum. | 4.839 |\n| Datasetsize | 27.2MB |  |  |\n| Dianping |  |  |  |\n| User# | 2,673,970 | Edge# | 922,977 |\n| Maxdegree | 11423 | Avg.degree | 5.184 |\n| Maxcorenum. | 24 | Avg.corenum. | 2.741 |\n| Datasize | 162M |  |  |\n| Twitter-2010 |  |  |  |\n| User# | 41,652,098 | Edge# | 684,500,219 |\n| Maxdegree | 1,405,986 | Avg.degree | 30.453 |\n| Maxcorenum. | 2,059 | Avg.corenum. | 14.692 |\n| Datasetsize | 29.7GB |  |  |",1]
["| Parameter | Value | Parameter | Value |\n| --- | --- | --- | --- |\n| c | 1−5 | r | 0.002−0.05 |\n| k | 10−250 | Pagesize | 4KB |\n| Pageacc.time | 2ms |  |  |\n| Gowalla |  |  |  |\n| User# | 107,092 | Edge# | 456,830 |","| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| DTDCardinalitySymbol | Rule | XDSoccurrences |\n| --- | --- | --- |\n| + | isequivalentto | (;)minOccurs=1maxOccurs=unbounded |\n| * | isequivalentto | (;)minOccurs=0maxOccurs=unbounded |","| ? | isequivalentto | (;)minOccurs=0maxOccurs=1 |\n| --- | --- | --- |\n| None | isequivalentto | (;)minOccurs=1maxOccurs=1 |",1]
["| DTDCardinalitySymbol | Rule | XDSoccurrences |\n| --- | --- | --- |\n| + | isequivalentto | (;)minOccurs=1maxOccurs=unbounded |\n| * | isequivalentto | (;)minOccurs=0maxOccurs=unbounded |","| D1 | D2 | X1 | X2 | Function |\n| --- | --- | --- | --- | --- |\n| A | A | 0 | B | A·B(AND) |\n| A | A | 0 | B | A+B(NOR) |\n| A | A | B | B | A⊕B(XOR) |\n| A | A | B | B | A(cid:12)B(XNOR) |",0]
["| DTDCardinalitySymbol | Rule | XDSoccurrences |\n| --- | --- | --- |\n| + | isequivalentto | (;)minOccurs=1maxOccurs=unbounded |","| * | isequivalentto | (;)minOccurs=0maxOccurs=unbounded |\n| --- | --- | --- |\n| ? | isequivalentto | (;)minOccurs=0maxOccurs=1 |\n| None | isequivalentto | (;)minOccurs=1maxOccurs=1 |",1]
["| DTDCardinalitySymbol | Rule | XDSoccurrences |\n| --- | --- | --- |\n| + | isequivalentto | (;)minOccurs=1maxOccurs=unbounded |","| A | A | 0 | B | A+B(NOR) |\n| --- | --- | --- | --- | --- |\n| A | A | B | B | A⊕B(XOR) |\n| A | A | B | B | A(cid:12)B(XNOR) |",0]
["| ρ |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |","| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",1]
["| ρ |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |","| n | ρ |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |",0]
["| ρ |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |","| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",1]
["| ρ |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |","| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |",0]
["| Methods | ROUGE-1 | ROUGE-2 | ROUGE-L |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R | P | F1 | R | P | F1 | R | P | F1 | R | P |  |\n| LexRank | 11.32 | 11.16 | 11.04 | 1.32 | 1.34 | 1.31 | 10.33 | 10.16 | 10.06 | 3.41 | 3.38 |\n| RMRt | 11.17 | 10.25 | 10.54 | 2.25 | 2.16 | 2.19 | 10.22 | 9.39 | 9.65 | 3.88 | 3.66 |","| CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 |",1]
["| Methods | ROUGE-1 | ROUGE-2 | ROUGE-L |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R | P | F1 | R | P | F1 | R | P | F1 | R | P |  |\n| LexRank | 11.32 | 11.16 | 11.04 | 1.32 | 1.34 | 1.31 | 10.33 | 10.16 | 10.06 | 3.41 | 3.38 |\n| RMRt | 11.17 | 10.25 | 10.54 | 2.25 | 2.16 | 2.19 | 10.22 | 9.39 | 9.65 | 3.88 | 3.66 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BG11362 | 4 | 0 | 2 | 4 | 0 | 0 | - | 104 | 81 | 13 | 23 | 0.862 |\n| BG14213 | 61 | 45 | 2 | 16 | 0.957 | 0.738 | 0.833 | 106 | 106 | 3 | 0 | 0.972 |\n| BG2408 | 20 | 18 | 5 | 2 | 0.783 | 0.9 | 0.837 | 101 | 100 | 7 | 1 | 0.935 |\n| BG34901 | 16 | 8 | 2 | 8 | 0.8 | 0.5 | 0.615 | 224 | 219 | 6 | 5 | 0.973 |\n| BG35050 | 4 | 0 | 1 | 4 | 0 | 0 | - | 98 | 98 | 0 | 0 | 1 |\n| BG35187 | 23 | 19 | 1 | 4 | 0.95 | 0.826 | 0.884 | 135 | 125 | 3 | 10 | 0.977 |\n| BG36028 | 0 | 0 | 0 | 0 | - | - | - | 87 | 86 | 14 | 1 | 0.86 |\n| BG36182 | 14 | 3 | 0 | 11 | 1 | 0.214 | 0.353 | 95 | 95 | 3 | 0 | 0.969 |\n| BG36506 | 6 | 4 | 2 | 2 | 0.667 | 0.667 | 0.667 | 77 | 76 | 1 | 1 | 0.987 |\n| BG36537 | 30 | 24 | 20 | 6 | 0.545 | 0.8 | 0.649 | 259 | 244 | 0 | 15 | 1 |\n| BG36628 | 10 | 6 | 3 | 4 | 0.667 | 0.6 | 0.632 | 192 | 191 | 5 | 1 | 0.974 |\n| BG37359 | 6 | 6 | 1 | 0 | 0.857 | 1 | 0.923 | 164 | 157 | 3 | 7 | 0.981 |\n| BG37417 | 12 | 10 | 2 | 2 | 0.833 | 0.833 | 0.833 | 76 | 72 | 4 | 4 | 0.947 |\n| BG37822 | 10 | 9 | 1 | 1 | 0.9 | 0.9 | 0.9 | 119 | 115 | 5 | 4 | 0.958 |\n| BG37879 | 4 | 3 | 1 | 1 | 0.75 | 0.75 | 0.75 | 95 | 92 | 0 | 3 | 1 |\n| BG38150 | 4 | 4 | 2 | 0 | 0.667 | 1 | 0.8 | 215 | 214 | 1 | 1 | 0.995 |\n| BG9401 | 3 | 3 | 1 | 0 | 0.75 | 1 | 0.857 | 89 | 89 | 0 | 0 | 1 |\n| Total | 227 | 162 | 46 | 65 | 0.779 | 0.714 | 0.745 | 2236 | 2160 | 68 | 76 | 0.969 |",0]
["| Methods | ROUGE-1 | ROUGE-2 | ROUGE-L |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R | P | F1 | R | P | F1 | R | P | F1 | R | P |","| LexRank | 11.32 | 11.16 | 11.04 | 1.32 | 1.34 | 1.31 | 10.33 | 10.16 | 10.06 | 3.41 | 3.38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RMRt | 11.17 | 10.25 | 10.54 | 2.25 | 2.16 | 2.19 | 10.22 | 9.39 | 9.65 | 3.88 | 3.66 |\n| CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |\n| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 |",1]
["| Methods | ROUGE-1 | ROUGE-2 | ROUGE-L |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R | P | F1 | R | P | F1 | R | P | F1 | R | P |","| BG36537 | 30 | 24 | 20 | 6 | 0.545 | 0.8 | 0.649 | 259 | 244 | 0 | 15 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BG36628 | 10 | 6 | 3 | 4 | 0.667 | 0.6 | 0.632 | 192 | 191 | 5 | 1 | 0.974 |\n| BG37359 | 6 | 6 | 1 | 0 | 0.857 | 1 | 0.923 | 164 | 157 | 3 | 7 | 0.981 |\n| BG37417 | 12 | 10 | 2 | 2 | 0.833 | 0.833 | 0.833 | 76 | 72 | 4 | 4 | 0.947 |\n| BG37822 | 10 | 9 | 1 | 1 | 0.9 | 0.9 | 0.9 | 119 | 115 | 5 | 4 | 0.958 |\n| BG37879 | 4 | 3 | 1 | 1 | 0.75 | 0.75 | 0.75 | 95 | 92 | 0 | 3 | 1 |\n| BG38150 | 4 | 4 | 2 | 0 | 0.667 | 1 | 0.8 | 215 | 214 | 1 | 1 | 0.995 |\n| BG9401 | 3 | 3 | 1 | 0 | 0.75 | 1 | 0.857 | 89 | 89 | 0 | 0 | 1 |\n| Total | 227 | 162 | 46 | 65 | 0.779 | 0.714 | 0.745 | 2236 | 2160 | 68 | 76 | 0.969 |",0]
["| Method | Rating | Setup1 | Setup2 |\n| --- | --- | --- | --- |\n| Likert | naturalness | 0.07 | 0.12 |\n| quality | 0.02 | 0.41* |  |","| informativeness | 0.93* | 0.78* |  |\n| --- | --- | --- | --- |\n| PlainME | naturalness | -0.03 | 0.27* |\n| quality | 0.22* | 0.60* |  |\n| informativeness | 0.59* | 0.79* |  |\n| RankME | naturalness | 0.11 | 0.42* |\n| quality | 0.10 | 0.68* |  |\n| informativeness | 0.72* | 0.82* |  |",1]
["| Method | Rating | Setup1 | Setup2 |\n| --- | --- | --- | --- |\n| Likert | naturalness | 0.07 | 0.12 |\n| quality | 0.02 | 0.41* |  |","| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["| Method | Rating | Setup1 | Setup2 |\n| --- | --- | --- | --- |\n| Likert | naturalness | 0.07 | 0.12 |\n| quality | 0.02 | 0.41* |  |\n| informativeness | 0.93* | 0.78* |  |\n| PlainME | naturalness | -0.03 | 0.27* |\n| quality | 0.22* | 0.60* |  |","| informativeness | 0.59* | 0.79* |  |\n| --- | --- | --- | --- |\n| RankME | naturalness | 0.11 | 0.42* |\n| quality | 0.10 | 0.68* |  |\n| informativeness | 0.72* | 0.82* |  |",1]
["| Method | Rating | Setup1 | Setup2 |\n| --- | --- | --- | --- |\n| Likert | naturalness | 0.07 | 0.12 |\n| quality | 0.02 | 0.41* |  |\n| informativeness | 0.93* | 0.78* |  |\n| PlainME | naturalness | -0.03 | 0.27* |\n| quality | 0.22* | 0.60* |  |","| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| --- | --- | --- | --- | --- |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["| 3<br>Astroid-L | moir´e-f(A,B)k |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Radius | Min | Area | Radius | Min | Area | B | k | Complement |\n| 2 | 1 | 5 | 2 | 1 | 13 | 5 | 1 | 8 |\n| 5 | 2.5 | 30 | 5 | 3 | 65 | 5 | 2 | 35 |\n| 8 | 4 | 75 | 8 | 5 | 157 | 5 | 3 | 82 |\n| 11 | 5.59 | 143 | 11 | 7 | 289 | 5 | 4 | 146 |\n| 18 | 9 | 382 | 18 | 9 | 461 | 5 | 5 | 79 |\n| 21 | 10.5 | 520 | 21 | 11 | 673 | 5 | 6 | 153 |\n| 24 | 12 | 679 | 24 | 13 | 925 | 5 | 7 | 246 |\n| 27 | 13.5 | 859 | 27 | 15 | 1217 | 5 | 8 | 358 |","| 30 | 15 | 1060 | 30 | 17 | 1549 | 5 | 9 | 489 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 33 | 16.5 | 1283 | 33 | 19 | 1921 | 5 | 10 | 628 |",1]
["| 3<br>Astroid-L | moir´e-f(A,B)k |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Radius | Min | Area | Radius | Min | Area | B | k | Complement |\n| 2 | 1 | 5 | 2 | 1 | 13 | 5 | 1 | 8 |\n| 5 | 2.5 | 30 | 5 | 3 | 65 | 5 | 2 | 35 |\n| 8 | 4 | 75 | 8 | 5 | 157 | 5 | 3 | 82 |\n| 11 | 5.59 | 143 | 11 | 7 | 289 | 5 | 4 | 146 |\n| 18 | 9 | 382 | 18 | 9 | 461 | 5 | 5 | 79 |\n| 21 | 10.5 | 520 | 21 | 11 | 673 | 5 | 6 | 153 |\n| 24 | 12 | 679 | 24 | 13 | 925 | 5 | 7 | 246 |\n| 27 | 13.5 | 859 | 27 | 15 | 1217 | 5 | 8 | 358 |","|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| 3<br>Astroid-L | moir´e-f(A,B)k |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Radius | Min | Area | Radius | Min | Area | B | k | Complement |\n| 2 | 1 | 5 | 2 | 1 | 13 | 5 | 1 | 8 |\n| 5 | 2.5 | 30 | 5 | 3 | 65 | 5 | 2 | 35 |\n| 8 | 4 | 75 | 8 | 5 | 157 | 5 | 3 | 82 |","| 11 | 5.59 | 143 | 11 | 7 | 289 | 5 | 4 | 146 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18 | 9 | 382 | 18 | 9 | 461 | 5 | 5 | 79 |\n| 21 | 10.5 | 520 | 21 | 11 | 673 | 5 | 6 | 153 |\n| 24 | 12 | 679 | 24 | 13 | 925 | 5 | 7 | 246 |\n| 27 | 13.5 | 859 | 27 | 15 | 1217 | 5 | 8 | 358 |\n| 30 | 15 | 1060 | 30 | 17 | 1549 | 5 | 9 | 489 |\n| 33 | 16.5 | 1283 | 33 | 19 | 1921 | 5 | 10 | 628 |",1]
["| 3<br>Astroid-L | moir´e-f(A,B)k |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Radius | Min | Area | Radius | Min | Area | B | k | Complement |\n| 2 | 1 | 5 | 2 | 1 | 13 | 5 | 1 | 8 |\n| 5 | 2.5 | 30 | 5 | 3 | 65 | 5 | 2 | 35 |\n| 8 | 4 | 75 | 8 | 5 | 157 | 5 | 3 | 82 |","| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| Noiseless |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |\n| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |\n| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |\n| Noisy |  |  |  |  |  |  |","| Image | NCSR | Our | Improvement |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |\n| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |\n| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |\n| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |\n| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |\n| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |\n| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |\n| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |\n| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |\n| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |",1]
["| Noiseless |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |\n| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |\n| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |\n| Noisy |  |  |  |  |  |  |","| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |  |  |\n| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |\n| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 |  |\n| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 |  |\n| Barbara | 30.81 | 23.34 | 0.795 | 30.97 | 0.970 | 31.09 | 0.974 | 0.12 | 0.003 |  |\n| Average | 30.44 | 24.61 | 0.788 | 33.20 | 0.931 | 33.56 | 0.938 | 0.35 | 0.007 |  |\n| 2 | C.man | 25.85 | 22.16 | 0.668 | 29.31 | 0.862 | 29.75 | 0.873 | 0.44 | 0.011 |\n| House | 23.14 | 25.46 | 0.724 | 33.99 | 0.869 | 34.56 | 0.879 | 0.57 | 0.009 |  |\n| Lena | 23.87 | 27.04 | 0.872 | 33.64 | 0.957 | 34.12 | 0.966 | 0.49 | 0.008 |  |\n| Barbara | 24.79 | 23.25 | 0.789 | 27.20 | 0.926 | 27.29 | 0.930 | 0.08 | 0.004 |  |\n| Average | 24.43 | 24.47 | 0.763 | 31.04 | 0.904 | 31.43 | 0.912 | 0.39 | 0.008 |  |\n| 3 | C.man | 40.00 | 20.77 | 0.624 | 31.24 | 0.899 | 31.17 | 0.910 | -0.08 | 0.011 |\n| House | 40.00 | 24.11 | 0.697 | 36.98 | 0.918 | 37.57 | 0.928 | 0.60 | 0.009 |  |\n| Lena | 40.00 | 25.84 | 0.829 | 34.74 | 0.968 | 35.14 | 0.973 | 0.40 | 0.004 |  |\n| Barbara | 40.00 | 22.49 | 0.737 | 28.53 | 0.933 | 28.31 | 0.930 | -0.23 | -0.003 |  |\n| Average | 40.00 | 23.30 | 0.722 | 32.87 | 0.930 | 33.05 | 0.935 | 0.18 | 0.006 |  |\n| 4 | C.man | 18.53 | 24.63 | 0.609 | 28.63 | 0.858 | 29.21 | 0.873 | 0.58 | 0.014 |\n| House | 15.99 | 28.08 | 0.631 | 33.85 | 0.868 | 34.41 | 0.879 | 0.57 | 0.011 |  |\n| Lena | 16.47 | 28.81 | 0.903 | 33.76 | 0.957 | 34.29 | 0.967 | 0.52 | 0.010 |  |\n| Barbara | 17.35 | 24.22 | 0.849 | 26.09 | 0.908 | 26.17 | 0.913 | 0.07 | 0.005 |  |\n| Average | 17.17 | 26.44 | 0.748 | 30.58 | 0.898 | 31.02 | 0.908 | 0.44 | 0.010 |  |\n| 5 | C.man | 29.19 | 23.36 | 0.734 | 27.69 | 0.858 | 28.58 | 0.873 | 0.88 | 0.015 |\n| House | 26.61 | 27.82 | 0.794 | 33.55 | 0.874 | 34.17 | 0.883 | 0.62 | 0.009 |  |\n| Lena | 27.18 | 29.16 | 0.928 | 34.00 | 0.968 | 34.38 | 0.973 | 0.38 | 0.005 |  |\n| Barbara | 28.07 | 23.77 | 0.831 | 24.93 | 0.883 | 25.01 | 0.886 | 0.07 | 0.003 |  |\n| Average | 27.77 | 26.03 | 0.822 | 30.04 | 0.896 | 30.53 | 0.904 | 0.49 | 0.008 |  |\n| 6 | C.man | 17.76 | 29.83 | 0.703 | 34.69 | 0.932 | 34.89 | 0.939 | 0.21 | 0.007 |\n| House | 15.15 | 30.00 | 0.682 | 37.08 | 0.920 | 36.74 | 0.911 | -0.34 | -0.010 |  |\n| Lena | 15.52 | 30.02 | 0.911 | 36.34 | 0.972 | 36.32 | 0.972 | -0.02 | 0.000 |  |\n| Barbara | 16.59 | 29.78 | 0.939 | 35.22 | 0.979 | 35.21 | 0.980 | -0.01 | 0.000 |  |\n| Average | 16.36 | 29.91 | 0.809 | 35.83 | 0.951 | 35.79 | 0.951 | -0.04 | -0.001 |  |",0]
["| Noiseless |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |","| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |\n| Noisy |  |  |  |  |  |  |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |\n| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |\n| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |\n| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |\n| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |\n| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |\n| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |\n| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |\n| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |\n| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |",1]
["| Noiseless |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |","| 5 | C.man | 29.19 | 23.36 | 0.734 | 27.69 | 0.858 | 28.58 | 0.873 | 0.88 | 0.015 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| House | 26.61 | 27.82 | 0.794 | 33.55 | 0.874 | 34.17 | 0.883 | 0.62 | 0.009 |  |\n| Lena | 27.18 | 29.16 | 0.928 | 34.00 | 0.968 | 34.38 | 0.973 | 0.38 | 0.005 |  |\n| Barbara | 28.07 | 23.77 | 0.831 | 24.93 | 0.883 | 25.01 | 0.886 | 0.07 | 0.003 |  |\n| Average | 27.77 | 26.03 | 0.822 | 30.04 | 0.896 | 30.53 | 0.904 | 0.49 | 0.008 |  |\n| 6 | C.man | 17.76 | 29.83 | 0.703 | 34.69 | 0.932 | 34.89 | 0.939 | 0.21 | 0.007 |\n| House | 15.15 | 30.00 | 0.682 | 37.08 | 0.920 | 36.74 | 0.911 | -0.34 | -0.010 |  |\n| Lena | 15.52 | 30.02 | 0.911 | 36.34 | 0.972 | 36.32 | 0.972 | -0.02 | 0.000 |  |\n| Barbara | 16.59 | 29.78 | 0.939 | 35.22 | 0.979 | 35.21 | 0.980 | -0.01 | 0.000 |  |\n| Average | 16.36 | 29.91 | 0.809 | 35.83 | 0.951 | 35.79 | 0.951 | -0.04 | -0.001 |  |",0]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |","| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| --- |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |","| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |","| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| --- |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |","| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| --- |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["|  | Fb | Fc | Dup1 | Dup2 |\n| --- | --- | --- | --- | --- |\n| AMFG07‘(L,G)+KDCV | 98.00 | 98.00 | 90.00 | 85.00 |","| TIP10‘LGBP+LGXP+LDA | 99.00 | 99.00 | 94.00 | 93.00 |\n| --- | --- | --- | --- | --- |\n| BMVC12‘G-LQP+WPCA | 99.90 | 100.0 | 93.20 | 91.00 |\n| PAMI14‘DFD+WPCA | 99.40 | 100.0 | 91.80 | 92.30 |\n| MDML-DCPs+WPCA | 99.75 | 100.0 | 96.12 | 95.73 |",1]
["|  | Fb | Fc | Dup1 | Dup2 |\n| --- | --- | --- | --- | --- |\n| AMFG07‘(L,G)+KDCV | 98.00 | 98.00 | 90.00 | 85.00 |","|  | VoI | BDE | PRI | GTRC |\n| --- | --- | --- | --- | --- |\n| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |\n| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |\n| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |\n| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |\n| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |\n| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |\n| PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |\n| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 |",0]
["|  | Fb | Fc | Dup1 | Dup2 |\n| --- | --- | --- | --- | --- |\n| AMFG07‘(L,G)+KDCV | 98.00 | 98.00 | 90.00 | 85.00 |\n| TIP10‘LGBP+LGXP+LDA | 99.00 | 99.00 | 94.00 | 93.00 |","| BMVC12‘G-LQP+WPCA | 99.90 | 100.0 | 93.20 | 91.00 |\n| --- | --- | --- | --- | --- |\n| PAMI14‘DFD+WPCA | 99.40 | 100.0 | 91.80 | 92.30 |\n| MDML-DCPs+WPCA | 99.75 | 100.0 | 96.12 | 95.73 |",1]
["|  | Fb | Fc | Dup1 | Dup2 |\n| --- | --- | --- | --- | --- |\n| AMFG07‘(L,G)+KDCV | 98.00 | 98.00 | 90.00 | 85.00 |\n| TIP10‘LGBP+LGXP+LDA | 99.00 | 99.00 | 94.00 | 93.00 |","| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |\n| --- | --- | --- | --- | --- |\n| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |\n| PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |\n| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 |",0]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.0252 | 0.0058 | -0.0246 |","| Barbara | -0.0316 | 0.0243 | 0.0272 |\n| --- | --- | --- | --- |\n| Baboon | -0.0142 | 0.0034 | -0.0022 |\n| Boat | 0.0135 | 0.0069 | -0.0297 |\n| Peppers | -0.0045 | -0.0698 | 0.0221 |",1]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.0252 | 0.0058 | -0.0246 |","| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.9303 | 0.9485 | 0.8588 |\n| Barbara | 0.8499 | 0.8811 | 0.8679 |\n| Baboon | 0.8250 | 0.7944 | 0.7577 |\n| Boat | 0.8799 | 0.9005 | 0.8136 |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",0]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.0252 | 0.0058 | -0.0246 |","| Barbara | -0.0316 | 0.0243 | 0.0272 |\n| --- | --- | --- | --- |\n| Baboon | -0.0142 | 0.0034 | -0.0022 |\n| Boat | 0.0135 | 0.0069 | -0.0297 |\n| Peppers | -0.0045 | -0.0698 | 0.0221 |",1]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.0252 | 0.0058 | -0.0246 |","| Baboon | 0.8250 | 0.7944 | 0.7577 |\n| --- | --- | --- | --- |\n| Boat | 0.8799 | 0.9005 | 0.8136 |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",0]
["| AND | inG | Time<br>Node | Time<br>Node | Time<br>Node | Time<br>Node |\n| --- | --- | --- | --- | --- | --- |\n| 30 | 1000 | 21<br>1415 | 14<br>3312 | 2<br>2052 | 1<br>849 |","| 2000 | 73<br>2919 | 62<br>6949 | 9<br>4946 | 3<br>1576 |  |\n| --- | --- | --- | --- | --- | --- |\n| 3000 | 157<br>4460 | 144<br>10732 | 20<br>8602 | 7<br>2461 |  |\n| 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 |\n| 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 |  |\n| 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 |  |",1]
["| AND | inG | Time<br>Node | Time<br>Node | Time<br>Node | Time<br>Node |\n| --- | --- | --- | --- | --- | --- |\n| 30 | 1000 | 21<br>1415 | 14<br>3312 | 2<br>2052 | 1<br>849 |","| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |\n| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |\n| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",0]
["| AND | inG | Time<br>Node | Time<br>Node | Time<br>Node | Time<br>Node |\n| --- | --- | --- | --- | --- | --- |\n| 30 | 1000 | 21<br>1415 | 14<br>3312 | 2<br>2052 | 1<br>849 |","| 2000 | 73<br>2919 | 62<br>6949 | 9<br>4946 | 3<br>1576 |  |\n| --- | --- | --- | --- | --- | --- |\n| 3000 | 157<br>4460 | 144<br>10732 | 20<br>8602 | 7<br>2461 |  |\n| 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 |\n| 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 |  |\n| 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 |  |",1]
["| AND | inG | Time<br>Node | Time<br>Node | Time<br>Node | Time<br>Node |\n| --- | --- | --- | --- | --- | --- |\n| 30 | 1000 | 21<br>1415 | 14<br>3312 | 2<br>2052 | 1<br>849 |","| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",0]
["|  | Top5Features |\n| --- | --- |\n| 1 | PostingMonths |\n| 2 | PostingWeeks |","| 3 | Std-Dev.ofImageFrequency |\n| --- | --- |\n| 4 | Norm.No.ofNames |\n| 5 | Norm.No.ofUniqueImages |",1]
["|  | Top5Features |\n| --- | --- |\n| 1 | PostingMonths |\n| 2 | PostingWeeks |","| DayofWeek | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| Sunday | 17768 | 2.11 | 32.34 | 15.84 | 2,652.07 |\n| Monday | 28476 | 2.42 | 34.20 | 9.66 | 1,026.79 |\n| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |\n| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |\n| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |\n| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |\n| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 |",0]
["|  | Top5Features |\n| --- | --- |\n| 1 | PostingMonths |","| 2 | PostingWeeks |\n| --- | --- |\n| 3 | Std-Dev.ofImageFrequency |\n| 4 | Norm.No.ofNames |\n| 5 | Norm.No.ofUniqueImages |",1]
["|  | Top5Features |\n| --- | --- |\n| 1 | PostingMonths |","| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |\n| --- | --- | --- | --- | --- | --- |\n| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |\n| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 |",0]
["| Method | UCF101 | HMDB | HW2 |\n| --- | --- | --- | --- |\n| IDT+FV<br>IDT+HSV<br>IDT+Actionness<br>VideoDarwin<br>RankPool+IDT | 85.9<br>87.9<br>-<br>-<br>91.4 | 57.2<br>61.1<br>60.4<br>63.7<br>66.9 | 64.3<br>-<br>-<br>73.7<br>76.7 |\n| Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- |\n| Two-streamfusion<br>ST-ResNet | 92.5<br>93.4 | 65.4<br>66.4 | -<br>- |","| Softattention<br>VideoLSTM | -<br>89.2 | 41.3<br>56.4 | -<br>- |\n| --- | --- | --- | --- |\n| Two-streamFCAN-comp<br>Ensemble(4models) | 92.0<br>93.4 | 66.7<br>68.2 | 71.1<br>78.4 |",1]
["| Method | UCF101 | HMDB | HW2 |\n| --- | --- | --- | --- |\n| IDT+FV<br>IDT+HSV<br>IDT+Actionness<br>VideoDarwin<br>RankPool+IDT | 85.9<br>87.9<br>-<br>-<br>91.4 | 57.2<br>61.1<br>60.4<br>63.7<br>66.9 | 64.3<br>-<br>-<br>73.7<br>76.7 |\n| Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- |\n| Two-streamfusion<br>ST-ResNet | 92.5<br>93.4 | 65.4<br>66.4 | -<br>- |","| Method | HMDB51 | UCF101 |\n| --- | --- | --- |\n| idt | 57.2 | 85.9 |\n| idt+high-Dencodings | 61.1 | 87.9 |\n| Two-streamCNN(2nets) | 59.4 | 88 |\n| Multi-skipFeatureStacking | 65.4 | 89.1 |\n| C3D(1net)<br>C3D(3nets)<br>C3D(3nets)+idt | –<br>–<br>– | 82.3<br>85.2<br>90.4 |\n| TDD(2nets)<br>TDD(2nets)+idt | 63.2<br>65.9 | 90.3<br>91.5 |\n| stackedFV<br>stackedFV+idt | 56.21<br>66.78 | –<br>– |\n| RNN-FV(C3D+VGG-CCA)<br>RNN-FV(C3D+VGG-CCA)+idt | 54.33<br>67.71 | 88.01<br>94.08 |",0]
["| Method | UCF101 | HMDB | HW2 |\n| --- | --- | --- | --- |\n| IDT+FV<br>IDT+HSV<br>IDT+Actionness<br>VideoDarwin<br>RankPool+IDT | 85.9<br>87.9<br>-<br>-<br>91.4 | 57.2<br>61.1<br>60.4<br>63.7<br>66.9 | 64.3<br>-<br>-<br>73.7<br>76.7 |\n| Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- |","| Two-streamfusion<br>ST-ResNet | 92.5<br>93.4 | 65.4<br>66.4 | -<br>- |\n| --- | --- | --- | --- |\n| Softattention<br>VideoLSTM | -<br>89.2 | 41.3<br>56.4 | -<br>- |\n| Two-streamFCAN-comp<br>Ensemble(4models) | 92.0<br>93.4 | 66.7<br>68.2 | 71.1<br>78.4 |",1]
["| Method | UCF101 | HMDB | HW2 |\n| --- | --- | --- | --- |\n| IDT+FV<br>IDT+HSV<br>IDT+Actionness<br>VideoDarwin<br>RankPool+IDT | 85.9<br>87.9<br>-<br>-<br>91.4 | 57.2<br>61.1<br>60.4<br>63.7<br>66.9 | 64.3<br>-<br>-<br>73.7<br>76.7 |\n| Two-stream(avg)<br>Two-stream(SVM)<br>Two-streamLSTM<br>LTC<br>TSN(2modalities)<br>TSN(3modalities)<br>Two-streamI3D | 86.9<br>88.0<br>88.6<br>91.7<br>94.0<br>94.2<br>98.0 | 58.0<br>59.4<br>-<br>64.8<br>68.5<br>69.4<br>80.7 | -<br>-<br>-<br>-<br>-<br>-<br>- |","| Multi-skipFeatureStacking | 65.4 | 89.1 |\n| --- | --- | --- |\n| C3D(1net)<br>C3D(3nets)<br>C3D(3nets)+idt | –<br>–<br>– | 82.3<br>85.2<br>90.4 |\n| TDD(2nets)<br>TDD(2nets)+idt | 63.2<br>65.9 | 90.3<br>91.5 |\n| stackedFV<br>stackedFV+idt | 56.21<br>66.78 | –<br>– |\n| RNN-FV(C3D+VGG-CCA)<br>RNN-FV(C3D+VGG-CCA)+idt | 54.33<br>67.71 | 88.01<br>94.08 |",0]
["| AC | AuthenticatedModule |\n| --- | --- |\n| AIK | AttestationIdentityKey |\n| CA | CertiﬁcateAuthority |\n| DRTM | DynamicRootofTrustforMeasurement |\n| MITM | Man-in-the-Middle |\n| MLE | MeasuredLaunchEnvironment |\n| PAL | ProgramApplicationLogic |\n| PCR | PlatformConﬁgurationRegister |\n| SKINIT | SecureKernelInit |\n| SLB | SecureLoaderBlock |","| SML | StoredMeasurementLog |\n| --- | --- |\n| SRK | StorageRootKey |\n| TCB | TrustedComputingBase |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",1]
["| AC | AuthenticatedModule |\n| --- | --- |\n| AIK | AttestationIdentityKey |\n| CA | CertiﬁcateAuthority |\n| DRTM | DynamicRootofTrustforMeasurement |\n| MITM | Man-in-the-Middle |\n| MLE | MeasuredLaunchEnvironment |\n| PAL | ProgramApplicationLogic |\n| PCR | PlatformConﬁgurationRegister |\n| SKINIT | SecureKernelInit |\n| SLB | SecureLoaderBlock |","| Benchmarks | Trojanpayload | Trojantrigger | Trojantype |\n| --- | --- | --- | --- |\n| AES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T200 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T700 | LeaksthekeythroughcovertCDMAchannel | Speciﬁcplaintext | II |\n| AES-T900 | LeaksthekeythroughcovertCDMAchannel | Counter | II |\n| AES-T1100 | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |\n| AES-T2000 | LeaksthekeythroughPSCofshiftregister | Speciﬁcplaintext | II |\n| AES-T2100 | LeaksthekeythroughPSCofshiftregister | Plaintextsequence(FSM) | II |\n| RSA-T100 | Leaksthekeythroughciphertextoutput | Speciﬁcplaintext | I |\n| RSA-T300 | Leaksthekeythroughciphertextoutput | Counter | I |\n| DES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| PRESENT-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T1100(M) | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |",0]
["| AC | AuthenticatedModule |\n| --- | --- |\n| AIK | AttestationIdentityKey |\n| CA | CertiﬁcateAuthority |\n| DRTM | DynamicRootofTrustforMeasurement |\n| MITM | Man-in-the-Middle |\n| MLE | MeasuredLaunchEnvironment |\n| PAL | ProgramApplicationLogic |\n| PCR | PlatformConﬁgurationRegister |\n| SKINIT | SecureKernelInit |\n| SLB | SecureLoaderBlock |\n| SML | StoredMeasurementLog |\n| SRK | StorageRootKey |","| TCB | TrustedComputingBase |\n| --- | --- |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",1]
["| AC | AuthenticatedModule |\n| --- | --- |\n| AIK | AttestationIdentityKey |\n| CA | CertiﬁcateAuthority |\n| DRTM | DynamicRootofTrustforMeasurement |\n| MITM | Man-in-the-Middle |\n| MLE | MeasuredLaunchEnvironment |\n| PAL | ProgramApplicationLogic |\n| PCR | PlatformConﬁgurationRegister |\n| SKINIT | SecureKernelInit |\n| SLB | SecureLoaderBlock |\n| SML | StoredMeasurementLog |\n| SRK | StorageRootKey |","| AES-T900 | LeaksthekeythroughcovertCDMAchannel | Counter | II |\n| --- | --- | --- | --- |\n| AES-T1100 | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |\n| AES-T2000 | LeaksthekeythroughPSCofshiftregister | Speciﬁcplaintext | II |\n| AES-T2100 | LeaksthekeythroughPSCofshiftregister | Plaintextsequence(FSM) | II |\n| RSA-T100 | Leaksthekeythroughciphertextoutput | Speciﬁcplaintext | I |\n| RSA-T300 | Leaksthekeythroughciphertextoutput | Counter | I |\n| DES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| PRESENT-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T1100(M) | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |",0]
["| Graph<br>G=(V,E) | n=<br>\\|V\\| | m=<br>\\|E\\| | diameter<br>diam(G) | radius<br>rad(G) |\n| --- | --- | --- | --- | --- |\n| PPI | 1458 | 1948 | 19 | 11 |\n| Yeast | 2224 | 6609 | 11 | 6 |\n| DutchElite | 3621 | 4311 | 22 | 12 |\n| EPA | 4253 | 8953 | 10 | 6 |\n| EVA | 4475 | 4664 | 18 | 10 |\n| California | 5925 | 15770 | 13 | 7 |\n| Erd¨os | 6927 | 11850 | 4 | 2 |\n| Routeview | 10515 | 21455 | 10 | 5 |\n| Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |\n| ASCaida20071105 | 26475 | 53381 | 17 | 9 |\n| Dimes3/2010 | 26424 | 90267 | 8 | 4 |\n| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |\n| ASCaida20120601 | 41203 | 121309 | 10 | 5 |","| itdk0304 | 190914 | 607610 | 26 | 14 |\n| --- | --- | --- | --- | --- |\n| DBLB-coauth | 317080 | 1049866 | 23 | 12 |\n| Amazon | 334863 | 925872 | 47 | 24 |",1]
["| Graph<br>G=(V,E) | n=<br>\\|V\\| | m=<br>\\|E\\| | diameter<br>diam(G) | radius<br>rad(G) |\n| --- | --- | --- | --- | --- |\n| PPI | 1458 | 1948 | 19 | 11 |\n| Yeast | 2224 | 6609 | 11 | 6 |\n| DutchElite | 3621 | 4311 | 22 | 12 |\n| EPA | 4253 | 8953 | 10 | 6 |\n| EVA | 4475 | 4664 | 18 | 10 |\n| California | 5925 | 15770 | 13 | 7 |\n| Erd¨os | 6927 | 11850 | 4 | 2 |\n| Routeview | 10515 | 21455 | 10 | 5 |\n| Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |\n| ASCaida20071105 | 26475 | 53381 | 17 | 9 |\n| Dimes3/2010 | 26424 | 90267 | 8 | 4 |\n| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |\n| ASCaida20120601 | 41203 | 121309 | 10 | 5 |","| Graph | \\|V\\|G | \\|E\\|G | dnG | \\|C\\|G | \\|c\\|<br>G | \\|c\\|<br>G | \\|c\\|<br>G |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 |\n| ∆TR | 0.651 | 0.088 | 0.208 | 1.013 | 0.647 | 0.643 | 1 |\n| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",0]
["| Graph<br>G=(V,E) | n=<br>\\|V\\| | m=<br>\\|E\\| | diameter<br>diam(G) | radius<br>rad(G) |\n| --- | --- | --- | --- | --- |\n| PPI | 1458 | 1948 | 19 | 11 |\n| Yeast | 2224 | 6609 | 11 | 6 |\n| DutchElite | 3621 | 4311 | 22 | 12 |\n| EPA | 4253 | 8953 | 10 | 6 |\n| EVA | 4475 | 4664 | 18 | 10 |\n| California | 5925 | 15770 | 13 | 7 |\n| Erd¨os | 6927 | 11850 | 4 | 2 |\n| Routeview | 10515 | 21455 | 10 | 5 |","| Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |\n| --- | --- | --- | --- | --- |\n| ASCaida20071105 | 26475 | 53381 | 17 | 9 |\n| Dimes3/2010 | 26424 | 90267 | 8 | 4 |\n| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |\n| ASCaida20120601 | 41203 | 121309 | 10 | 5 |\n| itdk0304 | 190914 | 607610 | 26 | 14 |\n| DBLB-coauth | 317080 | 1049866 | 23 | 12 |\n| Amazon | 334863 | 925872 | 47 | 24 |",1]
["| Graph<br>G=(V,E) | n=<br>\\|V\\| | m=<br>\\|E\\| | diameter<br>diam(G) | radius<br>rad(G) |\n| --- | --- | --- | --- | --- |\n| PPI | 1458 | 1948 | 19 | 11 |\n| Yeast | 2224 | 6609 | 11 | 6 |\n| DutchElite | 3621 | 4311 | 22 | 12 |\n| EPA | 4253 | 8953 | 10 | 6 |\n| EVA | 4475 | 4664 | 18 | 10 |\n| California | 5925 | 15770 | 13 | 7 |\n| Erd¨os | 6927 | 11850 | 4 | 2 |\n| Routeview | 10515 | 21455 | 10 | 5 |","| ∆TR | 0.651 | 0.088 | 0.208 | 1.013 | 0.647 | 0.643 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",0]
["|  | Nonparametric | Parametric | RFF |\n| --- | --- | --- | --- |\n| ContainOpt | Yes | Maynot | No |","| Dependondata | Yes | No | No |\n| --- | --- | --- | --- |\n| SubsetofRKHS | Yes | Yes | No |\n| #parameters | O(LKN) | O(LK) | O(LKQ) |",1]
["|  | Nonparametric | Parametric | RFF |\n| --- | --- | --- | --- |\n| ContainOpt | Yes | Maynot | No |","| Parameter | Meaning |\n| --- | --- |\n| α | balancetheeﬀectsofprecisionandrecall |\n| wf | diﬀerentiatetheeﬀectsoffunctionwordandcontentword |\n| wexact | matchweightformatchmoduletypeexact |\n| wstem | matchweightformatchmoduletypestem |\n| wsynonym | matchweightformatchmoduletypesynonym |\n| wparaphrase | matchweightformatchmoduletypeparaphrase |",0]
["|  | Nonparametric | Parametric | RFF |\n| --- | --- | --- | --- |\n| ContainOpt | Yes | Maynot | No |","| Dependondata | Yes | No | No |\n| --- | --- | --- | --- |\n| SubsetofRKHS | Yes | Yes | No |\n| #parameters | O(LKN) | O(LK) | O(LKQ) |",1]
["|  | Nonparametric | Parametric | RFF |\n| --- | --- | --- | --- |\n| ContainOpt | Yes | Maynot | No |","| wf | diﬀerentiatetheeﬀectsoffunctionwordandcontentword |\n| --- | --- |\n| wexact | matchweightformatchmoduletypeexact |\n| wstem | matchweightformatchmoduletypestem |\n| wsynonym | matchweightformatchmoduletypesynonym |\n| wparaphrase | matchweightformatchmoduletypeparaphrase |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Attribute | male | longhair | hat | glasses | dress | sunglasses | shortsleeves | baby |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Poselets150 | 86.00 | 75.31 | 29.03 | 36.72 | 34.73 | 50.16 | 55.25 | 41.26 |\n| DPD | 85.84 | 72.40 | 27.55 | 23.94 | 48.55 | 34.36 | 54.75 | 41.38 |\n| DeCAF | 82.47 | 65.03 | 19.15 | 14.91 | 44.68 | 26.91 | 56.40 | 50.19 |","| DL-DPM | 88.27 | 77.64 | 43.44 | 36.70 | 55.72 | 55.03 | 67.95 | 64.89 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PANDA | 94.10 | 83.17 | 39.52 | 72.25 | 59.41 | 66.62 | 72.09 | 78.76 |",1]
["| Attribute | male | longhair | hat | glasses | dress | sunglasses | shortsleeves | baby |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Poselets150 | 86.00 | 75.31 | 29.03 | 36.72 | 34.73 | 50.16 | 55.25 | 41.26 |\n| DPD | 85.84 | 72.40 | 27.55 | 23.94 | 48.55 | 34.36 | 54.75 | 41.38 |\n| DeCAF | 82.47 | 65.03 | 19.15 | 14.91 | 44.68 | 26.91 | 56.40 | 50.19 |","| Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 |\n| DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 |\n| Poselets150L2 | 81.70 | 67.07 | 44.24 | 54.01 | 42.16 | 71.70 | 36.71 | 42.56 |\n| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |\n| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 |",0]
["| Attribute | male | longhair | hat | glasses | dress | sunglasses | shortsleeves | baby |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Poselets150 | 86.00 | 75.31 | 29.03 | 36.72 | 34.73 | 50.16 | 55.25 | 41.26 |\n| DPD | 85.84 | 72.40 | 27.55 | 23.94 | 48.55 | 34.36 | 54.75 | 41.38 |\n| DeCAF | 82.47 | 65.03 | 19.15 | 14.91 | 44.68 | 26.91 | 56.40 | 50.19 |","| DL-DPM | 88.27 | 77.64 | 43.44 | 36.70 | 55.72 | 55.03 | 67.95 | 64.89 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PANDA | 94.10 | 83.17 | 39.52 | 72.25 | 59.41 | 66.62 | 72.09 | 78.76 |",1]
["| Attribute | male | longhair | hat | glasses | dress | sunglasses | shortsleeves | baby |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Poselets150 | 86.00 | 75.31 | 29.03 | 36.72 | 34.73 | 50.16 | 55.25 | 41.26 |\n| DPD | 85.84 | 72.40 | 27.55 | 23.94 | 48.55 | 34.36 | 54.75 | 41.38 |\n| DeCAF | 82.47 | 65.03 | 19.15 | 14.91 | 44.68 | 26.91 | 56.40 | 50.19 |","| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 |",0]
["| Datasetname | inputaddresses | responserate(rough) | secs/1000addresses |\n| --- | --- | --- | --- |\n| SouthAmericans | 13991 | 13743(250) | 138 |\n| Textile | 5777 | 5688(16) | 135 |\n| Textile2 | 3070 | 3053(2) | 110 |\n| Artistsaccommodations | 13907 | 10215(2955) | 244 |","| Healthadministrators | 1887 | 1698(171) | 316 |\n| --- | --- | --- | --- |\n| Belleepoque(0.3)<br>Belleepoque(0.5) | 6467<br>6467 | 3880(337)<br>6000 | 280<br>351 |",1]
["| Datasetname | inputaddresses | responserate(rough) | secs/1000addresses |\n| --- | --- | --- | --- |\n| SouthAmericans | 13991 | 13743(250) | 138 |\n| Textile | 5777 | 5688(16) | 135 |\n| Textile2 | 3070 | 3053(2) | 110 |\n| Artistsaccommodations | 13907 | 10215(2955) | 244 |","| #Concordants |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |\n| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |\n| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |\n| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |\n| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |\n| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |\n| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |\n| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |\n| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |\n| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |\n| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |\n| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",0]
["| Datasetname | inputaddresses | responserate(rough) | secs/1000addresses |\n| --- | --- | --- | --- |\n| SouthAmericans | 13991 | 13743(250) | 138 |\n| Textile | 5777 | 5688(16) | 135 |\n| Textile2 | 3070 | 3053(2) | 110 |\n| Artistsaccommodations | 13907 | 10215(2955) | 244 |","| Healthadministrators | 1887 | 1698(171) | 316 |\n| --- | --- | --- | --- |\n| Belleepoque(0.3)<br>Belleepoque(0.5) | 6467<br>6467 | 3880(337)<br>6000 | 280<br>351 |",1]
["| Datasetname | inputaddresses | responserate(rough) | secs/1000addresses |\n| --- | --- | --- | --- |\n| SouthAmericans | 13991 | 13743(250) | 138 |\n| Textile | 5777 | 5688(16) | 135 |\n| Textile2 | 3070 | 3053(2) | 110 |\n| Artistsaccommodations | 13907 | 10215(2955) | 244 |","| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",0]
["| BinaryBus-2RoutingTracks |  |  |\n| --- | --- | --- |\n| Muxes(Bus-2)withNselectinputs | 4∗N+2∗(2−2) | MuxwithNbinaryselectinputs |\n| 8:1Muxes(Bus-2)with3selectinputs | 40T | 8:1Muxwith3selectinputs |\n| 16:1Mux(Bus-2)with4selectinputs | 76T | 16:1Muxwith4selectinputs |\n| Buﬀers(Bus-2) | 8T | Repeaters |","|  |  | 4-2Translators |\n| --- | --- | --- |\n|  |  | 2-4Translators |",1]
["| BinaryBus-2RoutingTracks |  |  |\n| --- | --- | --- |\n| Muxes(Bus-2)withNselectinputs | 4∗N+2∗(2−2) | MuxwithNbinaryselectinputs |\n| 8:1Muxes(Bus-2)with3selectinputs | 40T | 8:1Muxwith3selectinputs |\n| 16:1Mux(Bus-2)with4selectinputs | 76T | 16:1Muxwith4selectinputs |\n| Buﬀers(Bus-2) | 8T | Repeaters |","|  | StageNo.<br>G | Memory<br>depth | Combinational<br>ALUTs | Registers | Memory<br>bits | Clock<br>frequency | Throughput<br>(infobits) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Code1-S | 422 | 512 | 106288 | 68609 | 4402268 | 100MHz | 0.5Gbps |\n| Code2-S | 512 | 512 | 104938 | 68634 | 4402268 | 100MHz | 0.5Gbps |\n| Code3-S | 1024 | 1024 | 73066 | 50087 | 5829352 | 100MHz | 0.5Gbps |\n| Code4-S | 1024 | 1024 | 62823 | 43745 | 4844140 | 100MHz | 0.5Gbps |\n| Code1-P | 422 | 512 | 175420 | 105427 | 17558528 | 100MHz | 2.0Gbps |\n| Code2-P | 512 | 512 | 170102 | 105505 | 17558528 | 100MHz | 2.0Gbps |\n| Code3-P | 1024 | 1024 | 134102 | 86654 | 23283712 | 100MHz | 2.0Gbps |\n| Code4-P | 1024 | 1024 | 120804 | 80342 | 19348480 | 100MHz | 2.0Gbps |\n| Wang | — | — | 28229 | 26926 | 5800000 | 190MHz | 0.2Gbps |",0]
["| BinaryBus-2RoutingTracks |  |  |\n| --- | --- | --- |\n| Muxes(Bus-2)withNselectinputs | 4∗N+2∗(2−2) | MuxwithNbinaryselectinputs |","| 8:1Muxes(Bus-2)with3selectinputs | 40T | 8:1Muxwith3selectinputs |\n| --- | --- | --- |\n| 16:1Mux(Bus-2)with4selectinputs | 76T | 16:1Muxwith4selectinputs |\n| Buﬀers(Bus-2) | 8T | Repeaters |\n|  |  | 4-2Translators |\n|  |  | 2-4Translators |",1]
["| BinaryBus-2RoutingTracks |  |  |\n| --- | --- | --- |\n| Muxes(Bus-2)withNselectinputs | 4∗N+2∗(2−2) | MuxwithNbinaryselectinputs |","| Code3-P | 1024 | 1024 | 134102 | 86654 | 23283712 | 100MHz | 2.0Gbps |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Code4-P | 1024 | 1024 | 120804 | 80342 | 19348480 | 100MHz | 2.0Gbps |\n| Wang | — | — | 28229 | 26926 | 5800000 | 190MHz | 0.2Gbps |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0442±0.0011 | 0.2499 | 211 | - |\n| GKKM | 0.1883±0.0317 | 1.8460 | 14 | 0.7969 |\n| M=5,µ=0.2500,σ=0.10340 |  |  |  |  |","| CCBS<br>GCBS | 0.2045±0.0375<br>0.2441±0.0500 | 0.1001<br>0.0374 | 7<br>5 | 0.2490<br>0.2097 |\n| --- | --- | --- | --- | --- |\n| M=10,µ=0.1111,σ=0.05240 |  |  |  |  |\n| CCBS<br>GCBS | 0.1430±0.0192<br>0.1505±0.0209 | 0.0702<br>0.0191 | 14<br>13 | 0.1079<br>0.1078 |\n| M=20,µ=0.0526,σ=0.02730 |  |  |  |  |\n| CCBS<br>GCBS | 0.0907±0.0069<br>0.0941±0.0081 | 0.2874<br>0.0245 | 24<br>21 | 0.0517<br>0.0492 |\n| M=30,µ=0.0345,σ=0.01820 |  |  |  |  |\n| CCBS<br>GCBS | 0.0705±0.0035<br>0.0674±0.0034 | 0.6403<br>0.0162 | 34<br>32 | 0.0339<br>0.0331 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0442±0.0011 | 0.2499 | 211 | - |\n| GKKM | 0.1883±0.0317 | 1.8460 | 14 | 0.7969 |\n| M=5,µ=0.2500,σ=0.10340 |  |  |  |  |","| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1320±0.0161 | 0.3034 | 211 | - |\n| GKKM | 0.1325±0.0150 | 1.8930 | 15 | 0.7694 |\n| M=5,µ=0.2500,σ=0.10840 |  |  |  |  |\n| CCBS<br>GCBS | 0.1358±0.0154<br>0.1585±0.0229 | 0.0550<br>0.0227 | 7<br>5 | 0.2441<br>0.2212 |\n| M=10,µ=0.1111,σ=0.05890 |  |  |  |  |\n| CCBS<br>GCBS | 0.1224±0.0125<br>0.1323±0.0158 | 0.0740<br>0.0172 | 14<br>12 | 0.1110<br>0.1076 |\n| M=20,µ=0.0526,σ=0.03410 |  |  |  |  |\n| CCBS<br>GCBS | 0.1132±0.0118<br>0.1179±0.0131 | 0.0731<br>0.0204 | 22<br>20 | 0.0506<br>0.0491 |\n| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0442±0.0011 | 0.2499 | 211 | - |\n| GKKM | 0.1883±0.0317 | 1.8460 | 14 | 0.7969 |\n| M=5,µ=0.2500,σ=0.10340 |  |  |  |  |\n| CCBS<br>GCBS | 0.2045±0.0375<br>0.2441±0.0500 | 0.1001<br>0.0374 | 7<br>5 | 0.2490<br>0.2097 |\n| M=10,µ=0.1111,σ=0.05240 |  |  |  |  |","| CCBS<br>GCBS | 0.1430±0.0192<br>0.1505±0.0209 | 0.0702<br>0.0191 | 14<br>13 | 0.1079<br>0.1078 |\n| --- | --- | --- | --- | --- |\n| M=20,µ=0.0526,σ=0.02730 |  |  |  |  |\n| CCBS<br>GCBS | 0.0907±0.0069<br>0.0941±0.0081 | 0.2874<br>0.0245 | 24<br>21 | 0.0517<br>0.0492 |\n| M=30,µ=0.0345,σ=0.01820 |  |  |  |  |\n| CCBS<br>GCBS | 0.0705±0.0035<br>0.0674±0.0034 | 0.6403<br>0.0162 | 34<br>32 | 0.0339<br>0.0331 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0442±0.0011 | 0.2499 | 211 | - |\n| GKKM | 0.1883±0.0317 | 1.8460 | 14 | 0.7969 |\n| M=5,µ=0.2500,σ=0.10340 |  |  |  |  |\n| CCBS<br>GCBS | 0.2045±0.0375<br>0.2441±0.0500 | 0.1001<br>0.0374 | 7<br>5 | 0.2490<br>0.2097 |\n| M=10,µ=0.1111,σ=0.05240 |  |  |  |  |","| M=5,µ=0.2500,σ=0.10840 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.1358±0.0154<br>0.1585±0.0229 | 0.0550<br>0.0227 | 7<br>5 | 0.2441<br>0.2212 |\n| M=10,µ=0.1111,σ=0.05890 |  |  |  |  |\n| CCBS<br>GCBS | 0.1224±0.0125<br>0.1323±0.0158 | 0.0740<br>0.0172 | 14<br>12 | 0.1110<br>0.1076 |\n| M=20,µ=0.0526,σ=0.03410 |  |  |  |  |\n| CCBS<br>GCBS | 0.1132±0.0118<br>0.1179±0.0131 | 0.0731<br>0.0204 | 22<br>20 | 0.0506<br>0.0491 |\n| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",0]
["| Eyemovementsparameters | Extractedfeatures |\n| --- | --- |\n| Pupildiameter(XandY) | Mean,standarddeviation,<br>DEinfourbands<br>(0–0.2Hz,0.2–0.4Hz,<br>0.4–0.6Hz,0.6–1Hz) |\n| Disperson(XandY) | Mean,standarddeviation |\n| Fixationduration(ms) | Mean,standarddeviation |","| Blinkduration(ms) | Mean,standarddeviation |\n| --- | --- |\n| Saccade | Mean,standarddeviationof<br>saccadeduration(ms)and<br>◦<br>saccadeamplitude() |\n| Eventstatistics | Blinkfrequency,<br>ﬁxationfrequency,<br>ﬁxationdurationmaximum,<br>ﬁxationdispersiontotal,<br>ﬁxationdispersionmaximum,<br>saccadefrequency,<br>saccadedurationaverage,<br>saccadeamplitudeaverage,<br>saccadelatencyaverage. |",1]
["| Eyemovementsparameters | Extractedfeatures |\n| --- | --- |\n| Pupildiameter(XandY) | Mean,standarddeviation,<br>DEinfourbands<br>(0–0.2Hz,0.2–0.4Hz,<br>0.4–0.6Hz,0.6–1Hz) |\n| Disperson(XandY) | Mean,standarddeviation |\n| Fixationduration(ms) | Mean,standarddeviation |","|  | noFBsPCAdenoising | FBsPCAdenoising |\n| --- | --- | --- |\n| RFA/K-means | 0.09 | 0.48 |\n| MSA/MRA | 0.87 | 0.95 |\n| EMAN2 | 0.45 | 0.76 |\n| Xmipp | 0.68 | 0.96 |",0]
["| Eyemovementsparameters | Extractedfeatures |\n| --- | --- |\n| Pupildiameter(XandY) | Mean,standarddeviation,<br>DEinfourbands<br>(0–0.2Hz,0.2–0.4Hz,<br>0.4–0.6Hz,0.6–1Hz) |","| Disperson(XandY) | Mean,standarddeviation |\n| --- | --- |\n| Fixationduration(ms) | Mean,standarddeviation |\n| Blinkduration(ms) | Mean,standarddeviation |\n| Saccade | Mean,standarddeviationof<br>saccadeduration(ms)and<br>◦<br>saccadeamplitude() |\n| Eventstatistics | Blinkfrequency,<br>ﬁxationfrequency,<br>ﬁxationdurationmaximum,<br>ﬁxationdispersiontotal,<br>ﬁxationdispersionmaximum,<br>saccadefrequency,<br>saccadedurationaverage,<br>saccadeamplitudeaverage,<br>saccadelatencyaverage. |",1]
["| Eyemovementsparameters | Extractedfeatures |\n| --- | --- |\n| Pupildiameter(XandY) | Mean,standarddeviation,<br>DEinfourbands<br>(0–0.2Hz,0.2–0.4Hz,<br>0.4–0.6Hz,0.6–1Hz) |","| MSA/MRA | 0.87 | 0.95 |\n| --- | --- | --- |\n| EMAN2 | 0.45 | 0.76 |\n| Xmipp | 0.68 | 0.96 |",0]
["| Scenariocode | S1 | S2 | S3 | S4 | S5 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofstops | 344 | 721 | 1044 | 1670 | 2176 |","| Relaxeddomainconnections | 744 | 1520 | 2275 | 4001 | 4794 |\n| --- | --- | --- | --- | --- | --- |\n| Timetabledconnections | 23994 | 26702 | 68597 | 72937 | 203590 |\n| Meansoftransport | trains | trains,coaches | trains | trains,coaches | trains |",1]
["| Scenariocode | S1 | S2 | S3 | S4 | S5 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofstops | 344 | 721 | 1044 | 1670 | 2176 |","| Model | time(s) |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |\n| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |\n| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |\n| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |\n| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |\n| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |\n| Model | totalmemory(GB) |  |  |  |  |  |  |  |  |  |  |  |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| SCM2 | 3.68 | 4.91 | 3.75 | 3.83 | 5.24 | 7.00 | 3.69 | 4.92 | 3.80 | 3.93 | 4.35 | 4.98 |\n| SCM5 | 7.32 | 11.07 | 7.46 | 7.61 | 9.26 | 13.93 | 7.33 | 11.03 | 7.53 | 7.72 | 8.65 | 9.61 |\n| SCR2 | 0.51 | 0.63 | 0.57 | 0.65 | 0.90 | 1.43 | 0.52 | 0.66 | 0.60 | 0.68 | 0.91 | 1.38 |\n| SCR5 | 0.99 | 1.50 | 1.07 | 1.16 | 1.58 | 2.55 | 1.00 | 1.51 | 1.11 | 1.21 | 1.47 | 2.00 |\n| TSC2 | 0.26 | 0.27 | 0.31 | 0.37 | 0.53 | 0.83 | 0.27 | 0.29 | 0.33 | 0.42 | 0.61 | 0.97 |\n| TSC5 | 0.47 | 0.50 | 0.54 | 0.62 | 0.79 | 1.16 | 0.48 | 0.51 | 0.57 | 0.65 | 0.86 | 1.27 |",0]
["| Scenariocode | S1 | S2 | S3 | S4 | S5 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofstops | 344 | 721 | 1044 | 1670 | 2176 |\n| Relaxeddomainconnections | 744 | 1520 | 2275 | 4001 | 4794 |","| Timetabledconnections | 23994 | 26702 | 68597 | 72937 | 203590 |\n| --- | --- | --- | --- | --- | --- |\n| Meansoftransport | trains | trains,coaches | trains | trains,coaches | trains |",1]
["| Scenariocode | S1 | S2 | S3 | S4 | S5 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofstops | 344 | 721 | 1044 | 1670 | 2176 |\n| Relaxeddomainconnections | 744 | 1520 | 2275 | 4001 | 4794 |","| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Model | totalmemory(GB) |  |  |  |  |  |  |  |  |  |  |  |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| SCM2 | 3.68 | 4.91 | 3.75 | 3.83 | 5.24 | 7.00 | 3.69 | 4.92 | 3.80 | 3.93 | 4.35 | 4.98 |\n| SCM5 | 7.32 | 11.07 | 7.46 | 7.61 | 9.26 | 13.93 | 7.33 | 11.03 | 7.53 | 7.72 | 8.65 | 9.61 |\n| SCR2 | 0.51 | 0.63 | 0.57 | 0.65 | 0.90 | 1.43 | 0.52 | 0.66 | 0.60 | 0.68 | 0.91 | 1.38 |\n| SCR5 | 0.99 | 1.50 | 1.07 | 1.16 | 1.58 | 2.55 | 1.00 | 1.51 | 1.11 | 1.21 | 1.47 | 2.00 |\n| TSC2 | 0.26 | 0.27 | 0.31 | 0.37 | 0.53 | 0.83 | 0.27 | 0.29 | 0.33 | 0.42 | 0.61 | 0.97 |\n| TSC5 | 0.47 | 0.50 | 0.54 | 0.62 | 0.79 | 1.16 | 0.48 | 0.51 | 0.57 | 0.65 | 0.86 | 1.27 |",0]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 84.01 | - | 74.55 |\n| 83.98 | - | 73.78 |\n| 84.97 | - | 75.16 |\n| 77.00 | 78.95 | 66.21 |\n| 78.37 | 78.65 | 68.35 |\n| 81.15 | 80.22 | 72.73 |\n| 82.99 | 82.90 | 73.23 |\n| 82.73 | - | 74.52 |\n| 84.25 | - | 77.26 |","| 84.05 | 80.93 | 76.83 |\n| --- | --- | --- |\n| 84.93 | 84.11 | 78.42 |",1]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 84.01 | - | 74.55 |\n| 83.98 | - | 73.78 |\n| 84.97 | - | 75.16 |\n| 77.00 | 78.95 | 66.21 |\n| 78.37 | 78.65 | 68.35 |\n| 81.15 | 80.22 | 72.73 |\n| 82.99 | 82.90 | 73.23 |\n| 82.73 | - | 74.52 |\n| 84.25 | - | 77.26 |","| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 72.45 | 69.76 | 66.11 |\n| 82.57 | 78.83 | 63.62 |\n| 84.05 | 80.93 | 76.83 |\n| 84.08 | 81.48 | 77.04 |\n| 84.24 | 81.22 | 78.12 |\n| 84.21 | 84.14 | 77.15 |\n| 84.93 | 84.11 | 78.42 |",0]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 84.01 | - | 74.55 |","| 83.98 | - | 73.78 |\n| --- | --- | --- |\n| 84.97 | - | 75.16 |\n| 77.00 | 78.95 | 66.21 |\n| 78.37 | 78.65 | 68.35 |\n| 81.15 | 80.22 | 72.73 |\n| 82.99 | 82.90 | 73.23 |\n| 82.73 | - | 74.52 |\n| 84.25 | - | 77.26 |\n| 84.05 | 80.93 | 76.83 |\n| 84.93 | 84.11 | 78.42 |",1]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 84.01 | - | 74.55 |","| 84.05 | 80.93 | 76.83 |\n| --- | --- | --- |\n| 84.08 | 81.48 | 77.04 |\n| 84.24 | 81.22 | 78.12 |\n| 84.21 | 84.14 | 77.15 |\n| 84.93 | 84.11 | 78.42 |",0]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 684.7 | 2374.0 | 958.6 | 1596.7 |\n| 201-2,000 | 355.2 | 127.9 | 358.5 | 134.5 |","| 2,001-17,000 | 101.3 | 5.1 | 104.9 | 5.3 |\n| --- | --- | --- | --- | --- |\n| 17,001-20,000 | 62.3 | 3.3 | 66.6 | 3.1 |",1]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 684.7 | 2374.0 | 958.6 | 1596.7 |\n| 201-2,000 | 355.2 | 127.9 | 358.5 | 134.5 |","| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 703.5 | 2881.1 | 999.1 | 2372.9 |\n| 201-2,000 | 403.7 | 193.4 | 406.7 | 203.7 |\n| 2,001-17,000 | 119.7 | 4.2 | 122.7 | 4.6 |\n| 17,001-20,000 | 74.5 | 3.7 | 77.7 | 3.6 |",0]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 684.7 | 2374.0 | 958.6 | 1596.7 |","| 201-2,000 | 355.2 | 127.9 | 358.5 | 134.5 |\n| --- | --- | --- | --- | --- |\n| 2,001-17,000 | 101.3 | 5.1 | 104.9 | 5.3 |\n| 17,001-20,000 | 62.3 | 3.3 | 66.6 | 3.1 |",1]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 684.7 | 2374.0 | 958.6 | 1596.7 |","| 2,001-17,000 | 119.7 | 4.2 | 122.7 | 4.6 |\n| --- | --- | --- | --- | --- |\n| 17,001-20,000 | 74.5 | 3.7 | 77.7 | 3.6 |",0]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |","| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| --- | --- | --- | --- | --- |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",1]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |","|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |","| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| --- | --- | --- | --- | --- |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",1]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |","| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| --- | --- | --- | --- | --- |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["| Noiselevel | Easy | Hard | Tough |\n| --- | --- | --- | --- |\n| SIFT | 0.453 | 0.193 | 0.086 |","| TFeat | 0.467 | 0.259 | 0.131 |\n| --- | --- | --- | --- |\n| DeepCompare | 0.399 | 0.199 | 0.095 |\n| DeepDesc | 0.430 | 0.239 | 0.125 |\n| HardNet | 0.658 | 0.479 | 0.303 |\n| SKAR-EgoSeg | 0.495 | 0.226 | 0.102 |\n| SKAR-EgoSeg* | 0.507 | 0.251 | 0.123 |\n| SKAR-HPatches | 0.677 | 0.494 | 0.313 |\n| SKAR-HPatches* | 0.695 | 0.525 | 0.342 |",1]
["| Noiselevel | Easy | Hard | Tough |\n| --- | --- | --- | --- |\n| SIFT | 0.453 | 0.193 | 0.086 |","| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |\n| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Noiselevel | Easy | Hard | Tough |\n| --- | --- | --- | --- |\n| SIFT | 0.453 | 0.193 | 0.086 |\n| TFeat | 0.467 | 0.259 | 0.131 |\n| DeepCompare | 0.399 | 0.199 | 0.095 |\n| DeepDesc | 0.430 | 0.239 | 0.125 |","| HardNet | 0.658 | 0.479 | 0.303 |\n| --- | --- | --- | --- |\n| SKAR-EgoSeg | 0.495 | 0.226 | 0.102 |\n| SKAR-EgoSeg* | 0.507 | 0.251 | 0.123 |\n| SKAR-HPatches | 0.677 | 0.494 | 0.313 |\n| SKAR-HPatches* | 0.695 | 0.525 | 0.342 |",1]
["| Noiselevel | Easy | Hard | Tough |\n| --- | --- | --- | --- |\n| SIFT | 0.453 | 0.193 | 0.086 |\n| TFeat | 0.467 | 0.259 | 0.131 |\n| DeepCompare | 0.399 | 0.199 | 0.095 |\n| DeepDesc | 0.430 | 0.239 | 0.125 |","| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| α | d(r,T)2 | λ(q,q)×θ(r,T)022 | σ(r,q,T)22 | d(r,T)7 | λ(q,q)×θ(r,T)077 | σ(r,q,T)77 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 11 | 0.8462×0.2181 | 0.1845 | 7 | 0.7549×0.25 | 0.1887 |\n| 3 | 11 | 0.8462×0.3065 | 0.2593 | 7 | 0.7549×0.3456 | 0.2608 |","| 4 | 11 | 0.8462×0.3581 | 0.303 | 7 | 0.7549×0.4 | 0.3019 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | 11 | 0.8462×0.4555 | 0.3854 | 7 | 0.7549×0.5 | 0.3774 |\n| 16 | 11 | 0.8462×0.5273 | 0.4462 | 7 | 0.7549×0.5714 | 0.4313 |",1]
["| α | d(r,T)2 | λ(q,q)×θ(r,T)022 | σ(r,q,T)22 | d(r,T)7 | λ(q,q)×θ(r,T)077 | σ(r,q,T)77 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 11 | 0.8462×0.2181 | 0.1845 | 7 | 0.7549×0.25 | 0.1887 |\n| 3 | 11 | 0.8462×0.3065 | 0.2593 | 7 | 0.7549×0.3456 | 0.2608 |","|  | XORSAT | COL | XORSATandCOL |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k,q | αp | φp | cp | φp | λ | a | b | ν |\n| 3 | 0.818469 | 0.715332 | 4.910815 | 0.511700 | 0.397953 | 0.422096 | 1.221834 | 1.593787 |\n| 4 | 0.772280 | 0.851001 | 9.267358 | 0.616297 | 0.350174 | 0.433412 | 1.341647 | 1.526313 |\n| 5 | 0.701780 | 0.903350 | 14.035605 | 0.665924 | 0.320971 | 0.439997 | 1.421808 | 1.488035 |\n| 6 | 0.637081 | 0.930080 | 19.112434 | 0.695986 | 0.300707 | 0.444431 | 1.481191 | 1.462601 |\n| 7 | 0.581775 | 0.945975 | 24.434557 | 0.716600 | 0.285554 | 0.447677 | 1.527913 | 1.444121 |\n| 8 | 0.534997 | 0.956381 | 29.959848 | 0.731841 | 0.273649 | 0.450187 | 1.566174 | 1.429899 |\n| 9 | 0.495255 | 0.963661 | 35.658363 | 0.743697 | 0.263961 | 0.452205 | 1.598411 | 1.418505 |\n| 10 | 0.461197 | 0.969008 | 41.507763 | 0.753261 | 0.255868 | 0.453873 | 1.626162 | 1.409102 |",0]
["| α | d(r,T)2 | λ(q,q)×θ(r,T)022 | σ(r,q,T)22 | d(r,T)7 | λ(q,q)×θ(r,T)077 | σ(r,q,T)77 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 11 | 0.8462×0.2181 | 0.1845 | 7 | 0.7549×0.25 | 0.1887 |\n| 3 | 11 | 0.8462×0.3065 | 0.2593 | 7 | 0.7549×0.3456 | 0.2608 |\n| 4 | 11 | 0.8462×0.3581 | 0.303 | 7 | 0.7549×0.4 | 0.3019 |","| 8 | 11 | 0.8462×0.4555 | 0.3854 | 7 | 0.7549×0.5 | 0.3774 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 16 | 11 | 0.8462×0.5273 | 0.4462 | 7 | 0.7549×0.5714 | 0.4313 |",1]
["| α | d(r,T)2 | λ(q,q)×θ(r,T)022 | σ(r,q,T)22 | d(r,T)7 | λ(q,q)×θ(r,T)077 | σ(r,q,T)77 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 11 | 0.8462×0.2181 | 0.1845 | 7 | 0.7549×0.25 | 0.1887 |\n| 3 | 11 | 0.8462×0.3065 | 0.2593 | 7 | 0.7549×0.3456 | 0.2608 |\n| 4 | 11 | 0.8462×0.3581 | 0.303 | 7 | 0.7549×0.4 | 0.3019 |","| 7 | 0.581775 | 0.945975 | 24.434557 | 0.716600 | 0.285554 | 0.447677 | 1.527913 | 1.444121 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.534997 | 0.956381 | 29.959848 | 0.731841 | 0.273649 | 0.450187 | 1.566174 | 1.429899 |\n| 9 | 0.495255 | 0.963661 | 35.658363 | 0.743697 | 0.263961 | 0.452205 | 1.598411 | 1.418505 |\n| 10 | 0.461197 | 0.969008 | 41.507763 | 0.753261 | 0.255868 | 0.453873 | 1.626162 | 1.409102 |",0]
["| Item | MinimalSpec. | RecommendedSpec. |\n| --- | --- | --- |\n| OSVersion | Android4.2oriOS9 | N/A |","| CPU | Dual-core@1.2GHz | Quad-core@2.4GHz |\n| --- | --- | --- |\n| Camera | 3MP | 12MP |\n| Driver | RawPixelData | Exposurecontrol |",1]
["| Item | MinimalSpec. | RecommendedSpec. |\n| --- | --- | --- |\n| OSVersion | Android4.2oriOS9 | N/A |","|  | DELLOPTIPLEX | Nexus7 |\n| --- | --- | --- |\n| Model | DELLOPTIPLEX8010 | Nexus7(2013) |\n| OS | Windows7Professional | Android4.4.4 |\n| CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |\n| RAM | 16GB | 2GB |",0]
["| Item | MinimalSpec. | RecommendedSpec. |\n| --- | --- | --- |\n| OSVersion | Android4.2oriOS9 | N/A |\n| CPU | Dual-core@1.2GHz | Quad-core@2.4GHz |","| Camera | 3MP | 12MP |\n| --- | --- | --- |\n| Driver | RawPixelData | Exposurecontrol |",1]
["| Item | MinimalSpec. | RecommendedSpec. |\n| --- | --- | --- |\n| OSVersion | Android4.2oriOS9 | N/A |\n| CPU | Dual-core@1.2GHz | Quad-core@2.4GHz |","| OS | Windows7Professional | Android4.4.4 |\n| --- | --- | --- |\n| CPU | IntelCorei7-37703.4GHz | Krait1.50GHz |\n| RAM | 16GB | 2GB |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sourcetype | Multi-source | Multi-source | Multi-source | Singlesource | Multi-source |","| Flowtype | Unicast | Unicast | Unicast | Multicast | Multicast |\n| --- | --- | --- | --- | --- | --- |\n| Solutiontype | Centralized | Distributed | Centralized | Distributed | Distributed |\n| Relayingtype | SF | SF | Networkcoding | Networkcoding | SF |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sourcetype | Multi-source | Multi-source | Multi-source | Singlesource | Multi-source |","| Network | Type | \\|V\\| | \\|E\\| | diameter | radius | δ4−point |\n| --- | --- | --- | --- | --- | --- | --- |\n| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |\n| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |\n| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sourcetype | Multi-source | Multi-source | Multi-source | Singlesource | Multi-source |","| Flowtype | Unicast | Unicast | Unicast | Multicast | Multicast |\n| --- | --- | --- | --- | --- | --- |\n| Solutiontype | Centralized | Distributed | Centralized | Distributed | Distributed |\n| Relayingtype | SF | SF | Networkcoding | Networkcoding | SF |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sourcetype | Multi-source | Multi-source | Multi-source | Singlesource | Multi-source |","| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",0]
["| numberofhiddenneuronsperplexityinperplexityin |\n| --- |\n| 25638– |","| 512–54 |\n| --- |\n| 102427– |\n| 2048–44 |\n| 4096–– |\n| 8192–30<br>24.2(ensemble) |",1]
["| numberofhiddenneuronsperplexityinperplexityin |\n| --- |\n| 25638– |","| 3<br>10Modularreductions | GoogleNexus7 |\n| --- | --- |\n| Classical | 546 |\n| Barrett | 579 |\n| FirstMethod | 569 |\n| SecondMethod | 860 |",0]
["| numberofhiddenneuronsperplexityinperplexityin |\n| --- |\n| 25638– |\n| 512–54 |","| 102427– |\n| --- |\n| 2048–44 |\n| 4096–– |\n| 8192–30<br>24.2(ensemble) |",1]
["| numberofhiddenneuronsperplexityinperplexityin |\n| --- |\n| 25638– |\n| 512–54 |","| FirstMethod | 569 |\n| --- | --- |\n| SecondMethod | 860 |",0]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 89.3 |\n| Humansegmentation | 69.8 |","| Weinmannet.al(withlexicon) | 86.1 |\n| --- | --- |\n| Weinmannet.al(withoutlexicon) | 79.1 |",1]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 89.3 |\n| Humansegmentation | 69.8 |","| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 79.6 |\n| Humansegmentation | 74.8 |\n| Mishraet.al | 73.3 |\n| Wanget.al | 56.0 |\n| Abbyyreader | 47.7 |",0]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 89.3 |\n| Humansegmentation | 69.8 |","| Weinmannet.al(withlexicon) | 86.1 |\n| --- | --- |\n| Weinmannet.al(withoutlexicon) | 79.1 |",1]
["| Algorithm | Wordrecognitionrate |\n| --- | --- |\n| Humansegmentation(Preprocessed) | 89.3 |\n| Humansegmentation | 69.8 |","| Humansegmentation | 74.8 |\n| --- | --- |\n| Mishraet.al | 73.3 |\n| Wanget.al | 56.0 |\n| Abbyyreader | 47.7 |",0]
["| Name | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- |\n| hamming10-2<br>hamming10-4<br>hamming6-4<br>hamming8-2<br>hamming8-4 | 81<br>1<br>437<br>85<br>253 | 1000<br>886.57<br>0.17<br>1000<br>0.36 | 0.19<br>496.79<br>0.15<br>0.21<br>0.11 |\n| MANNa27<br>MANNa45<br>MANNa81 | 85<br>79<br>79 | 1000<br>1000<br>1000 | 0.24<br>0.20<br>0.19 |","| hole10<br>hole11<br>hole12<br>hole7<br>hole8<br>hole9 | 758<br>922<br>1102<br>362<br>478<br>610 | 42.11<br>510.90<br>1000<br>0.10<br>0.40<br>3.68 | 0.24<br>0.47<br>1.78<br>0.11<br>0.13<br>0.17 |\n| --- | --- | --- | --- |\n| Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |\n| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 |",1]
["| Name | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- |\n| hamming10-2<br>hamming10-4<br>hamming6-4<br>hamming8-2<br>hamming8-4 | 81<br>1<br>437<br>85<br>253 | 1000<br>886.57<br>0.17<br>1000<br>0.36 | 0.19<br>496.79<br>0.15<br>0.21<br>0.11 |\n| MANNa27<br>MANNa45<br>MANNa81 | 85<br>79<br>79 | 1000<br>1000<br>1000 | 0.24<br>0.20<br>0.19 |","| Name | MStype | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- | --- |\n| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 |\n| c-fat500-10<br>c-fat500-1<br>c-fat500-2<br>c-fat500-5 | WMS<br>WMS<br>WMS<br>WMS | 2<br>112<br>12<br>4 | 57.79<br>0.03<br>0.16<br>0.16 | 11.62<br>0.06<br>0.11<br>0.11 |\n| MANNa27<br>MANNa45<br>MANNa81 | WMS<br>WMS<br>WMS | 1<br>1<br>1 | 1000<br>1000<br>1000 | 880.58<br>530.86<br>649.13 |\n| 1502.dir<br>29.dir<br>54.dir<br>8.dir | WPMS<br>WPMS<br>WPMS<br>WPMS | 1560<br>132<br>98<br>58 | 0.34<br>1000<br>4.14<br>0.03 | 10.67<br>28.09<br>0.32<br>0.05 |\n| 1502.log<br>29.log<br>404.log<br>54.log | WPMS<br>WPMS<br>WPMS<br>WPMS | 812<br>54<br>124<br>48 | 0.76<br>17.55<br>1000<br>2.37 | 0.71<br>0.82<br>64.24<br>0.16 |",0]
["| Name | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- |\n| hamming10-2<br>hamming10-4<br>hamming6-4<br>hamming8-2<br>hamming8-4 | 81<br>1<br>437<br>85<br>253 | 1000<br>886.57<br>0.17<br>1000<br>0.36 | 0.19<br>496.79<br>0.15<br>0.21<br>0.11 |","| MANNa27<br>MANNa45<br>MANNa81 | 85<br>79<br>79 | 1000<br>1000<br>1000 | 0.24<br>0.20<br>0.19 |\n| --- | --- | --- | --- |\n| hole10<br>hole11<br>hole12<br>hole7<br>hole8<br>hole9 | 758<br>922<br>1102<br>362<br>478<br>610 | 42.11<br>510.90<br>1000<br>0.10<br>0.40<br>3.68 | 0.24<br>0.47<br>1.78<br>0.11<br>0.13<br>0.17 |\n| Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |\n| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 |",1]
["| Name | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- |\n| hamming10-2<br>hamming10-4<br>hamming6-4<br>hamming8-2<br>hamming8-4 | 81<br>1<br>437<br>85<br>253 | 1000<br>886.57<br>0.17<br>1000<br>0.36 | 0.19<br>496.79<br>0.15<br>0.21<br>0.11 |","| 1502.dir<br>29.dir<br>54.dir<br>8.dir | WPMS<br>WPMS<br>WPMS<br>WPMS | 1560<br>132<br>98<br>58 | 0.34<br>1000<br>4.14<br>0.03 | 10.67<br>28.09<br>0.32<br>0.05 |\n| --- | --- | --- | --- | --- |\n| 1502.log<br>29.log<br>404.log<br>54.log | WPMS<br>WPMS<br>WPMS<br>WPMS | 812<br>54<br>124<br>48 | 0.76<br>17.55<br>1000<br>2.37 | 0.71<br>0.82<br>64.24<br>0.16 |",0]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |","| 6 | 8 | PartsofFace | Nose | Chin |\n| --- | --- | --- | --- | --- |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",1]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |","| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",0]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |","| 13 | 8 | PartsofFace | Eye | Cheek |\n| --- | --- | --- | --- | --- |\n| 14 | 9 | Movements | Jump | Crawl |",1]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |","| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| --- | --- | --- | --- | --- |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",0]
["| Notation | Meaning |\n| --- | --- |\n| n,m,k | numberofskills,individuals,tasks |","| ∆ | thesizeofthelargestminimalteam |\n| --- | --- |\n| Cti | thei-thteamthatcoverstaskt |\n| µ | approximationratioofproblem |\n| x | (approximate)solutionofprimalLP |\n| N(C)ti | C’sadjacentteamsti |\n| Ct | setofteamsthatcovertaskt |\n| C | C={C,···,C}1k |\n| C | setofteamsontasktcorrespondingtotheseparatinghyper-planes |\n| C | C={C,···,C} |\n| C | setofinputteamsofLProunding |",1]
["| Notation | Meaning |\n| --- | --- |\n| n,m,k | numberofskills,individuals,tasks |","| n | granularityofspacedecomposition |\n| --- | --- |\n| k | numberofnearestneighbors |\n| d | dimensionality |\n| D | ad-dimensionalmetricspace |\n| dist(r,s) | thedistancefromrtos |\n| kNN(r,S) | theknearestneighborsofrfromS |\n| AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) |\n| ICCH | interval,cellcubeorhypercube |\n| ICSH | interval,circle,sphereorhypersphere |\n| I | inputdataset |\n| T | trainingdataset |\n| cr | theclassofpointr |\n| CT | thesetofclassesofdatasetT |\n| SI | sizeofinputdataset |\n| ST | sizeoftrainingdataset |\n| M | totalnumberofMaptasks |\n| R | totalnumberofReducetasks |",0]
["| Notation | Meaning |\n| --- | --- |\n| n,m,k | numberofskills,individuals,tasks |\n| ∆ | thesizeofthelargestminimalteam |\n| Cti | thei-thteamthatcoverstaskt |\n| µ | approximationratioofproblem |\n| x | (approximate)solutionofprimalLP |\n| N(C)ti | C’sadjacentteamsti |","| Ct | setofteamsthatcovertaskt |\n| --- | --- |\n| C | C={C,···,C}1k |\n| C | setofteamsontasktcorrespondingtotheseparatinghyper-planes |\n| C | C={C,···,C} |\n| C | setofinputteamsofLProunding |",1]
["| Notation | Meaning |\n| --- | --- |\n| n,m,k | numberofskills,individuals,tasks |\n| ∆ | thesizeofthelargestminimalteam |\n| Cti | thei-thteamthatcoverstaskt |\n| µ | approximationratioofproblem |\n| x | (approximate)solutionofprimalLP |\n| N(C)ti | C’sadjacentteamsti |","| ST | sizeoftrainingdataset |\n| --- | --- |\n| M | totalnumberofMaptasks |\n| R | totalnumberofReducetasks |",0]
["| YTO |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Y | A→Y | V→Y | V | A→V |\n| 40.6 | 40.8 | 45.8 | 57.5 | 58.1 |\n| 39.8 | 40.3 | 38.8 | 29.8 | 30.5 |\n| 33.3 | 33.4 | 38.8 | 28.0 | 27.9 |\n| 34.1 | 33.9 | 33.6 | 39.1 | 39.1 |\n| 35.3 | 35.3 | 38.8 | 59.0 | 59.3 |\n| 18.9 | 19.0 | 27.7 | 36.7 | 36.9 |","| 27.0 | 27.1 | 26.7 | 46.5 | 47.4 |\n| --- | --- | --- | --- | --- |\n| 21.9 | 22.1 | 26.1 | 53.2 | 53.5 |\n| 17.6 | 17.9 | 17.5 | 55.6 | 55.2 |\n| 32.6 | 32.6 | 36.2 | 54.7 | 54.5 |\n| 30.1 | 30.2 | 33.0 | 46.0 | 46.2 |",1]
["| YTO |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Y | A→Y | V→Y | V | A→V |\n| 40.6 | 40.8 | 45.8 | 57.5 | 58.1 |\n| 39.8 | 40.3 | 38.8 | 29.8 | 30.5 |\n| 33.3 | 33.4 | 38.8 | 28.0 | 27.9 |\n| 34.1 | 33.9 | 33.6 | 39.1 | 39.1 |\n| 35.3 | 35.3 | 38.8 | 59.0 | 59.3 |\n| 18.9 | 19.0 | 27.7 | 36.7 | 36.9 |","| V3 | V2 | V1 |\n| --- | --- | --- |\n| 54.5 | - | - |\n| 76.0 | - | - |\n| 74.2 | - | - |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |\n| 90.7 | 87.5 | 74.0 |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",0]
["| YTO |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Y | A→Y | V→Y | V | A→V |\n| 40.6 | 40.8 | 45.8 | 57.5 | 58.1 |\n| 39.8 | 40.3 | 38.8 | 29.8 | 30.5 |\n| 33.3 | 33.4 | 38.8 | 28.0 | 27.9 |\n| 34.1 | 33.9 | 33.6 | 39.1 | 39.1 |","| 35.3 | 35.3 | 38.8 | 59.0 | 59.3 |\n| --- | --- | --- | --- | --- |\n| 18.9 | 19.0 | 27.7 | 36.7 | 36.9 |\n| 27.0 | 27.1 | 26.7 | 46.5 | 47.4 |\n| 21.9 | 22.1 | 26.1 | 53.2 | 53.5 |\n| 17.6 | 17.9 | 17.5 | 55.6 | 55.2 |\n| 32.6 | 32.6 | 36.2 | 54.7 | 54.5 |\n| 30.1 | 30.2 | 33.0 | 46.0 | 46.2 |",1]
["| YTO |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Y | A→Y | V→Y | V | A→V |\n| 40.6 | 40.8 | 45.8 | 57.5 | 58.1 |\n| 39.8 | 40.3 | 38.8 | 29.8 | 30.5 |\n| 33.3 | 33.4 | 38.8 | 28.0 | 27.9 |\n| 34.1 | 33.9 | 33.6 | 39.1 | 39.1 |","| 74.2 | - | - |\n| --- | --- | --- |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |\n| 90.7 | 87.5 | 74.0 |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",0]
["| CITY | FIT | GRID |\n| --- | --- | --- |\n| 11,3 | 8,2 | 14,3 |\n| 27,7 | 10,3 | 11,3 |","| 7,2 | 7,2 | N/A |\n| --- | --- | --- |\n| 10,3 | 9,3 | N/A |",1]
["| CITY | FIT | GRID |\n| --- | --- | --- |\n| 11,3 | 8,2 | 14,3 |\n| 27,7 | 10,3 | 11,3 |","| 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |\n| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",0]
["| CITY | FIT | GRID |\n| --- | --- | --- |\n| 11,3 | 8,2 | 14,3 |","| 27,7 | 10,3 | 11,3 |\n| --- | --- | --- |\n| 7,2 | 7,2 | N/A |\n| 10,3 | 9,3 | N/A |",1]
["| CITY | FIT | GRID |\n| --- | --- | --- |\n| 11,3 | 8,2 | 14,3 |","| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",0]
["| TestSequences | Alietal. | Biswasetal. | Proposed |\n| --- | --- | --- | --- |\n| Sequence1 | 0.63 | 0.60 | 0.90 |\n| Sequence2 | 0.28 | 0.67 | 0.66 |\n| Sequence3 | 0.57 | 0.74 | 0.75 |\n| Sequence4 | 0.67 | 0.68 | 0.68 |","| Sequence5 | 0.78 | 0.24 | 0.46 |\n| --- | --- | --- | --- |\n| Sequence6 | 0.41 | 0.62 | 0.81 |\n| Sequence7 | 0.60 | 0.15 | 0.53 |",1]
["| TestSequences | Alietal. | Biswasetal. | Proposed |\n| --- | --- | --- | --- |\n| Sequence1 | 0.63 | 0.60 | 0.90 |\n| Sequence2 | 0.28 | 0.67 | 0.66 |\n| Sequence3 | 0.57 | 0.74 | 0.75 |\n| Sequence4 | 0.67 | 0.68 | 0.68 |","| VideoSequences | Biswasetal. | Proposed |\n| --- | --- | --- |\n| Sequence1 | 4.96 | 0.20 |\n| Sequence2 | 5.08 | 0.31 |\n| Sequence3 | 4.66 | 0.23 |\n| Sequence4 | 4.49 | 0.33 |\n| Sequence5 | 4.32 | 0.08 |\n| Sequence6 | 5.32 | 0.31 |\n| Sequence7 | 4.95 | 0.38 |",0]
["| TestSequences | Alietal. | Biswasetal. | Proposed |\n| --- | --- | --- | --- |\n| Sequence1 | 0.63 | 0.60 | 0.90 |\n| Sequence2 | 0.28 | 0.67 | 0.66 |\n| Sequence3 | 0.57 | 0.74 | 0.75 |\n| Sequence4 | 0.67 | 0.68 | 0.68 |\n| Sequence5 | 0.78 | 0.24 | 0.46 |","| Sequence6 | 0.41 | 0.62 | 0.81 |\n| --- | --- | --- | --- |\n| Sequence7 | 0.60 | 0.15 | 0.53 |",1]
["| TestSequences | Alietal. | Biswasetal. | Proposed |\n| --- | --- | --- | --- |\n| Sequence1 | 0.63 | 0.60 | 0.90 |\n| Sequence2 | 0.28 | 0.67 | 0.66 |\n| Sequence3 | 0.57 | 0.74 | 0.75 |\n| Sequence4 | 0.67 | 0.68 | 0.68 |\n| Sequence5 | 0.78 | 0.24 | 0.46 |","| Sequence4 | 4.49 | 0.33 |\n| --- | --- | --- |\n| Sequence5 | 4.32 | 0.08 |\n| Sequence6 | 5.32 | 0.31 |\n| Sequence7 | 4.95 | 0.38 |",0]
["| 3DModel | Size | Qhull | Ourimplementation | Speedup |\n| --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |","| Armadillo | 172K | 16 | 47.5 | 61.7 | 0.34 | 0.26 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Angel | 237K | 47 | 50.5 | 62.6 | 0.93 | 0.75 |\n| SkeletonHand | 327K | 32 | 49.5 | 61.8 | 0.65 | 0.52 |\n| Dragon | 437K | 62 | 55.9 | 67.4 | 1.11 | 0.92 |\n| HappyBuddha | 543K | 63 | 56.8 | 76.7 | 1.11 | 0.82 |\n| TurbineBlade | 882K | 125 | 64.3 | 72.3 | 1.94 | 1.73 |\n| VellumManuscript | 2M | 219 | 63.2 | 91.5 | 3.47 | 2.39 |\n| AsianDragon | 3M | 359 | 78.4 | 129.8 | 4.58 | 2.77 |\n| ThaiStatue | 5M | 515 | 84.4 | 142.6 | 6.10 | 3.61 |\n| Lucy | 14M | 1404 | 141.3 | 223.3 | 9.94 | 6.29 |",1]
["| 3DModel | Size | Qhull | Ourimplementation | Speedup |\n| --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |","| Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |\n| 100K | 16 | 37.2 | 61.7 | 0.43 | 0.26 |\n| 200K | 32 | 36.4 | 65.7 | 0.88 | 0.49 |\n| 500K | 62 | 41.7 | 69.2 | 1.49 | 0.90 |\n| 1M | 109 | 44.8 | 73.9 | 2.43 | 1.47 |\n| 2M | 234 | 55.9 | 86.2 | 4.19 | 2.71 |\n| 5M | 561 | 77.9 | 118.5 | 7.20 | 4.73 |\n| 10M | 1029 | 124.7 | 161.7 | 8.25 | 6.36 |\n| 20M | 2262 | 206.0 | 272.5 | 10.98 | 8.30 |",0]
["| 3DModel | Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |  |\n| Armadillo | 172K | 16 | 47.5 | 61.7 | 0.34 | 0.26 |\n| Angel | 237K | 47 | 50.5 | 62.6 | 0.93 | 0.75 |\n| SkeletonHand | 327K | 32 | 49.5 | 61.8 | 0.65 | 0.52 |\n| Dragon | 437K | 62 | 55.9 | 67.4 | 1.11 | 0.92 |\n| HappyBuddha | 543K | 63 | 56.8 | 76.7 | 1.11 | 0.82 |\n| TurbineBlade | 882K | 125 | 64.3 | 72.3 | 1.94 | 1.73 |\n| VellumManuscript | 2M | 219 | 63.2 | 91.5 | 3.47 | 2.39 |","| AsianDragon | 3M | 359 | 78.4 | 129.8 | 4.58 | 2.77 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ThaiStatue | 5M | 515 | 84.4 | 142.6 | 6.10 | 3.61 |\n| Lucy | 14M | 1404 | 141.3 | 223.3 | 9.94 | 6.29 |",1]
["| 3DModel | Size | Qhull | Ourimplementation | Speedup |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Mode1 | Mode2 | Mode1 | Mode2 |  |  |  |\n| Armadillo | 172K | 16 | 47.5 | 61.7 | 0.34 | 0.26 |\n| Angel | 237K | 47 | 50.5 | 62.6 | 0.93 | 0.75 |\n| SkeletonHand | 327K | 32 | 49.5 | 61.8 | 0.65 | 0.52 |\n| Dragon | 437K | 62 | 55.9 | 67.4 | 1.11 | 0.92 |\n| HappyBuddha | 543K | 63 | 56.8 | 76.7 | 1.11 | 0.82 |\n| TurbineBlade | 882K | 125 | 64.3 | 72.3 | 1.94 | 1.73 |\n| VellumManuscript | 2M | 219 | 63.2 | 91.5 | 3.47 | 2.39 |","| 10M | 1029 | 124.7 | 161.7 | 8.25 | 6.36 |\n| --- | --- | --- | --- | --- | --- |\n| 20M | 2262 | 206.0 | 272.5 | 10.98 | 8.30 |",0]
["| Name | SK | WN |\n| --- | --- | --- |\n| MRR∗ | 0.032 | 0.578 |\n| Expectedrank | 1/0.032≈31 | 1/0.578≈2 |\n| R(∗,nb,1) | 4 | 10 |\n| RR(∗,nb,1) | 1/4=0.25 | 1/10=0.1 |\n| R(∗,nb,2) | 25 | 50 |","| RR(∗,nb,2) | 1/25=0.04 | 1/50=0.02 |\n| --- | --- | --- |\n| d(∗,nb,1) | —0.032-0.25—=0.218 | —0.578-0.1—=0.478 |\n| d(∗,nb,2) | —0.032-0.04—=0.008 | —0.578-0.02—=0.576 |",1]
["| Name | SK | WN |\n| --- | --- | --- |\n| MRR∗ | 0.032 | 0.578 |\n| Expectedrank | 1/0.032≈31 | 1/0.578≈2 |\n| R(∗,nb,1) | 4 | 10 |\n| RR(∗,nb,1) | 1/4=0.25 | 1/10=0.1 |\n| R(∗,nb,2) | 25 | 50 |","| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |\n| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |\n| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",0]
["| Name | SK | WN |\n| --- | --- | --- |\n| MRR∗ | 0.032 | 0.578 |\n| Expectedrank | 1/0.032≈31 | 1/0.578≈2 |","| R(∗,nb,1) | 4 | 10 |\n| --- | --- | --- |\n| RR(∗,nb,1) | 1/4=0.25 | 1/10=0.1 |\n| R(∗,nb,2) | 25 | 50 |\n| RR(∗,nb,2) | 1/25=0.04 | 1/50=0.02 |\n| d(∗,nb,1) | —0.032-0.25—=0.218 | —0.578-0.1—=0.478 |\n| d(∗,nb,2) | —0.032-0.04—=0.008 | —0.578-0.02—=0.576 |",1]
["| Name | SK | WN |\n| --- | --- | --- |\n| MRR∗ | 0.032 | 0.578 |\n| Expectedrank | 1/0.032≈31 | 1/0.578≈2 |","| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| --- | --- | --- | --- | --- | --- |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",0]
["| Methods | VOC2007(MAP)<br>16bits32bits48bits64bits | StanfordDogs(MAP)<br>16bits32bits48bits64bits | SUN397(MAP)<br>16bits32bits48bits64bits |\n| --- | --- | --- | --- |\n| Ours | 0.76720.80410.81470.8227 | 0.67450.71010.72520.7293 | 0.75050.80680.81520.8301 |\n| TripletH | 0.74340.77450.78580.7897 | 0.58890.64780.67440.6904 | 0.68930.76600.79180.8027 |","| DSH | 0.70610.72340.71430.7116 | 0.49940.61340.64200.6453 | 0.59990.70310.75450.7725 |\n| --- | --- | --- | --- |\n| MLH | 0.49900.50440.45660.4786 | 0.40530.50310.61350.6284 | 0.38060.46320.49880.5212 |\n| BRE | 0.61110.63230.64530.6517 | 0.24290.31580.36830.3936 | 0.25460.31850.35740.3675 |\n| ITQ | 0.57930.58080.57960.5723 | 0.32750.42560.46820.4977 | 0.28640.36230.38820.3955 |\n| SH | 0.44180.41750.40040.3835 | 0.24610.30760.35230.3714 | 0.20330.24350.24380.2391 |\n| LSH | 0.27200.30980.32730.3551 | 0.06290.12930.16900.2245 | 0.06580.11160.14120.1635 |",1]
["| Methods | VOC2007(MAP)<br>16bits32bits48bits64bits | StanfordDogs(MAP)<br>16bits32bits48bits64bits | SUN397(MAP)<br>16bits32bits48bits64bits |\n| --- | --- | --- | --- |\n| Ours | 0.76720.80410.81470.8227 | 0.67450.71010.72520.7293 | 0.75050.80680.81520.8301 |\n| TripletH | 0.74340.77450.78580.7897 | 0.58890.64780.67440.6904 | 0.68930.76600.79180.8027 |","| Methods | 16bits32bits48bits64bits |\n| --- | --- |\n| VOC2007 |  |\n| Ours | 0.76720.80410.81470.8227 |\n| HNM | 0.75450.77680.80100.8030 |\n| Semi-hard | 0.73470.74420.75480.7655 |\n| TripletH | 0.74340.77450.78580.7897 |\n| StanfordDogs |  |\n| Ours | 0.67450.71010.72520.7293 |\n| HNM | 0.59050.67630.70570.7187 |\n| Semi-hard | 0.59330.66620.69670.7054 |\n| TripletH | 0.58890.64780.67440.6904 |\n| SUN397 |  |\n| Ours | 0.75050.80680.81520.8301 |\n| HNM | 0.71240.78010.79920.8142 |\n| Semi-hard | 0.71670.78090.80020.8097 |\n| TripletH | 0.68930.76600.79180.8027 |\n| CUB-200-2011 |  |\n| Ours | 0.51370.65190.68070.6949 |\n| HNM | 0.48340.57930.62170.6641 |\n| Semi-hard | 0.48590.60170.63460.6539 |\n| TripletH | 0.45080.55030.59630.6312 |",0]
["| Methods | VOC2007(MAP)<br>16bits32bits48bits64bits | StanfordDogs(MAP)<br>16bits32bits48bits64bits | SUN397(MAP)<br>16bits32bits48bits64bits |\n| --- | --- | --- | --- |\n| Ours | 0.76720.80410.81470.8227 | 0.67450.71010.72520.7293 | 0.75050.80680.81520.8301 |\n| TripletH | 0.74340.77450.78580.7897 | 0.58890.64780.67440.6904 | 0.68930.76600.79180.8027 |\n| DSH | 0.70610.72340.71430.7116 | 0.49940.61340.64200.6453 | 0.59990.70310.75450.7725 |","| MLH | 0.49900.50440.45660.4786 | 0.40530.50310.61350.6284 | 0.38060.46320.49880.5212 |\n| --- | --- | --- | --- |\n| BRE | 0.61110.63230.64530.6517 | 0.24290.31580.36830.3936 | 0.25460.31850.35740.3675 |\n| ITQ | 0.57930.58080.57960.5723 | 0.32750.42560.46820.4977 | 0.28640.36230.38820.3955 |\n| SH | 0.44180.41750.40040.3835 | 0.24610.30760.35230.3714 | 0.20330.24350.24380.2391 |\n| LSH | 0.27200.30980.32730.3551 | 0.06290.12930.16900.2245 | 0.06580.11160.14120.1635 |",1]
["| Methods | VOC2007(MAP)<br>16bits32bits48bits64bits | StanfordDogs(MAP)<br>16bits32bits48bits64bits | SUN397(MAP)<br>16bits32bits48bits64bits |\n| --- | --- | --- | --- |\n| Ours | 0.76720.80410.81470.8227 | 0.67450.71010.72520.7293 | 0.75050.80680.81520.8301 |\n| TripletH | 0.74340.77450.78580.7897 | 0.58890.64780.67440.6904 | 0.68930.76600.79180.8027 |\n| DSH | 0.70610.72340.71430.7116 | 0.49940.61340.64200.6453 | 0.59990.70310.75450.7725 |","| TripletH | 0.74340.77450.78580.7897 |\n| --- | --- |\n| StanfordDogs |  |\n| Ours | 0.67450.71010.72520.7293 |\n| HNM | 0.59050.67630.70570.7187 |\n| Semi-hard | 0.59330.66620.69670.7054 |\n| TripletH | 0.58890.64780.67440.6904 |\n| SUN397 |  |\n| Ours | 0.75050.80680.81520.8301 |\n| HNM | 0.71240.78010.79920.8142 |\n| Semi-hard | 0.71670.78090.80020.8097 |\n| TripletH | 0.68930.76600.79180.8027 |\n| CUB-200-2011 |  |\n| Ours | 0.51370.65190.68070.6949 |\n| HNM | 0.48340.57930.62170.6641 |\n| Semi-hard | 0.48590.60170.63460.6539 |\n| TripletH | 0.45080.55030.59630.6312 |",0]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | bbrrrr | rbbrrr | rrbbrr | rrrbbr | rrrrbb | brrrrb |\n| 2 | rrbbbb | brrbbb | bbrrbb | bbbrrb | bbbbrr | rbbbbr |\n| 3 | brrbrr | rbrrbr | rrbrrb |  |  |  |\n| 4 | rbbrbb | brbbrb | bbrbbr |  |  |  |","| 5 | rbrrrb | brbrrr | rbrbrr | rrbrbr | rrrbrb | brrrbr |\n| --- | --- | --- | --- | --- | --- | --- |\n| 6 | brbbbr | rbrbbb | brbrbb | bbrbrb | bbbrbr | rbbbrb |\n| 7 | bbbbbb |  |  |  |  |  |\n| 8 | rrrrrr |  |  |  |  |  |",1]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | bbrrrr | rbbrrr | rrbbrr | rrrbbr | rrrrbb | brrrrb |\n| 2 | rrbbbb | brrbbb | bbrrbb | bbbrrb | bbbbrr | rbbbbr |\n| 3 | brrbrr | rbrrbr | rrbrrb |  |  |  |\n| 4 | rbbrbb | brbbrb | bbrbbr |  |  |  |","| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | yrrbby | yyrrbb | byyrrb | bbyyrr | rbbyyr | rrbbyy |\n| 2 | ryybbr | rryybb | brryyb | bbrryy | ybbrry | yybbrr |\n| 3 | yrrybb | byrryb | bbyrry | ybbyrr | rybbyr | rrybby |\n| 4 | ryyrbb | bryyrb | bbryyr | rbbryy | yrbbry | yyrbbr |\n| 5 | brrbyy | ybrrby | yybrrb | byybrr | rbyybr | rrbyyb |\n| 6 | yrbybr | ryrbyb | bryrby | ybryrb | bybryr | rbybry |\n| 7 | rbyryb | brbyry | ybrbyr | rybrby | yrybrb | byrybr |\n| 8 | brybyr | rbryby | yrbryb | byrbry | ybyrbr | rybyrb |\n| 9 | brbyyr | rbrbyy | yrbrby | yyrbrb | byyrbr | rbyyrb |\n| 10 | bybrry | ybybrr | rybybr | rrybyb | brryby | ybrryb |\n| 11 | ryrbby | yryrbb | byryrb | bbyryr | rbbyry | yrbbyr |\n| 12 | rbryyb | brbryy | ybrbry | yybrbr | ryybrb | bryybr |\n| 13 | ybyrrb | bybyrr | rbybyr | rrbyby | yrrbyb | byrrby |\n| 14 | yrybbr | ryrybb | bryryb | bbryry | ybbryr | rybbry |",0]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | bbrrrr | rbbrrr | rrbbrr | rrrbbr | rrrrbb | brrrrb |\n| 2 | rrbbbb | brrbbb | bbrrbb | bbbrrb | bbbbrr | rbbbbr |\n| 3 | brrbrr | rbrrbr | rrbrrb |  |  |  |\n| 4 | rbbrbb | brbbrb | bbrbbr |  |  |  |\n| 5 | rbrrrb | brbrrr | rbrbrr | rrbrbr | rrrbrb | brrrbr |","| 6 | brbbbr | rbrbbb | brbrbb | bbrbrb | bbbrbr | rbbbrb |\n| --- | --- | --- | --- | --- | --- | --- |\n| 7 | bbbbbb |  |  |  |  |  |\n| 8 | rrrrrr |  |  |  |  |  |",1]
["| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | bbrrrr | rbbrrr | rrbbrr | rrrbbr | rrrrbb | brrrrb |\n| 2 | rrbbbb | brrbbb | bbrrbb | bbbrrb | bbbbrr | rbbbbr |\n| 3 | brrbrr | rbrrbr | rrbrrb |  |  |  |\n| 4 | rbbrbb | brbbrb | bbrbbr |  |  |  |\n| 5 | rbrrrb | brbrrr | rbrbrr | rrbrbr | rrrbrb | brrrbr |","| 12 | rbryyb | brbryy | ybrbry | yybrbr | ryybrb | bryybr |\n| --- | --- | --- | --- | --- | --- | --- |\n| 13 | ybyrrb | bybyrr | rbybyr | rrbyby | yrrbyb | byrrby |\n| 14 | yrybbr | ryrybb | bryryb | bbryry | ybbryr | rybbry |",0]
["| Emin | 1.0·10 |\n| --- | --- |\n| Emax | 1.0·10 |","| ν | 0.3 |\n| --- | --- |\n| σ<br>y,min | 0.0 |\n| σy,max | 2.0 |\n| H | 0.01 |",1]
["| Emin | 1.0·10 |\n| --- | --- |\n| Emax | 1.0·10 |","| σpos | 0.02m |\n| --- | --- |\n| σvel | −1<br>0.02m.s |\n| σψ | −3<br>1.75.10rad |\n| dmax | 50m |\n| vmax | −1<br>36m.s |\n| ˙<br>ψmax | −1<br>1rad.s |",0]
["| Emin | 1.0·10 |\n| --- | --- |\n| Emax | 1.0·10 |","| ν | 0.3 |\n| --- | --- |\n| σ<br>y,min | 0.0 |\n| σy,max | 2.0 |\n| H | 0.01 |",1]
["| Emin | 1.0·10 |\n| --- | --- |\n| Emax | 1.0·10 |","| vmax | −1<br>36m.s |\n| --- | --- |\n| ˙<br>ψmax | −1<br>1rad.s |",0]
["| Denoising |  |  |  |\n| --- | --- | --- | --- |\n| Berkeley1 | Berkeley2 | Berkeley3 | Run<br>Time |","| Method | Dic.<br>Size | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Proposed(α=1/k)i<br>Proposed(α=0.1) | 40k<br>40k | 18.55<br>18.79 | 0.07<br>0.21 | 20.46<br>20.70 | 0.07<br>0.21 | 17.02<br>17.76 | 0.07<br>0.21 | 1x<br>3x | 17.16<br>17.42 |\n| OMP | 40k | 18.37 | 21.41 | 19.89 | 21.46 | 19.27 | 17.37 | 286x | 16.94 |\n| SPGL1<br>FPCAS<br>GPSR | 4k<br>4k<br>4k | 14.92<br>13.64<br>18.72 | 95.81<br>124.2<br>30.29 | 16.06<br>14.85<br>20.40 | 90.42<br>123.0<br>26.55 | 16.34<br>14.85<br>19.36 | 80.96<br>123.0<br>39.81 | 1272x<br>1763x<br>460x | 17.27<br>17.24<br>17.24 |\n| KD-Tree<br>ANN | 40k<br>40k | 18.06<br>18.03 | 101.7<br>24.58 | 19.63<br>19.59 | 101.7<br>25.41 | 17.21<br>16.60 | 101.7<br>25.29 | 1452x<br>358x | 16.77<br>16.77 |",1]
["| Denoising |  |  |  |\n| --- | --- | --- | --- |\n| Berkeley1 | Berkeley2 | Berkeley3 | Run<br>Time |","| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |\n| --- | --- | --- | --- | --- |\n| Resultsoverthecompletedatabase |  |  |  |  |\n| MP-D(α=6)<br>MP-G(α=6)<br>GREEDY | 0.56<br>0.49<br>0.57 | 0.54<br>0.43<br>0.54 | 0.09<br>0.16<br>0.12 | 0.07<br>0.12<br>0.10 |\n| Resultsoverthe100testimages |  |  |  |  |\n| MP-D(α=6)<br>MP-S(α=21)<br>MP-M(α=50)<br>MP-M(α=150) | 0.56<br>0.46<br>0.41<br>0.38 | 0.54<br>0.41<br>0.31<br>0.18 | 0.10<br>0.13<br>0.19<br>0.28 | 0.08<br>0.09<br>0.11<br>0.09 |\n| GREEDY<br>MP-G(α=6)<br>MP-G-S(α=21) | 0.58<br>0.50<br>0.42 | 0.54<br>0.45<br>0.31 | 0.13<br>0.17<br>0.23 | 0.10<br>0.13<br>0.14 |",0]
["| Denoising |  |  |  |\n| --- | --- | --- | --- |\n| Berkeley1 | Berkeley2 | Berkeley3 | Run<br>Time |","| Method | Dic.<br>Size | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Proposed(α=1/k)i<br>Proposed(α=0.1) | 40k<br>40k | 18.55<br>18.79 | 0.07<br>0.21 | 20.46<br>20.70 | 0.07<br>0.21 | 17.02<br>17.76 | 0.07<br>0.21 | 1x<br>3x | 17.16<br>17.42 |\n| OMP | 40k | 18.37 | 21.41 | 19.89 | 21.46 | 19.27 | 17.37 | 286x | 16.94 |\n| SPGL1<br>FPCAS<br>GPSR | 4k<br>4k<br>4k | 14.92<br>13.64<br>18.72 | 95.81<br>124.2<br>30.29 | 16.06<br>14.85<br>20.40 | 90.42<br>123.0<br>26.55 | 16.34<br>14.85<br>19.36 | 80.96<br>123.0<br>39.81 | 1272x<br>1763x<br>460x | 17.27<br>17.24<br>17.24 |\n| KD-Tree<br>ANN | 40k<br>40k | 18.06<br>18.03 | 101.7<br>24.58 | 19.63<br>19.59 | 101.7<br>25.41 | 17.21<br>16.60 | 101.7<br>25.29 | 1452x<br>358x | 16.77<br>16.77 |",1]
["| Denoising |  |  |  |\n| --- | --- | --- | --- |\n| Berkeley1 | Berkeley2 | Berkeley3 | Run<br>Time |","| MP-D(α=6)<br>MP-G(α=6)<br>GREEDY | 0.56<br>0.49<br>0.57 | 0.54<br>0.43<br>0.54 | 0.09<br>0.16<br>0.12 | 0.07<br>0.12<br>0.10 |\n| --- | --- | --- | --- | --- |\n| Resultsoverthe100testimages |  |  |  |  |\n| MP-D(α=6)<br>MP-S(α=21)<br>MP-M(α=50)<br>MP-M(α=150) | 0.56<br>0.46<br>0.41<br>0.38 | 0.54<br>0.41<br>0.31<br>0.18 | 0.10<br>0.13<br>0.19<br>0.28 | 0.08<br>0.09<br>0.11<br>0.09 |\n| GREEDY<br>MP-G(α=6)<br>MP-G-S(α=21) | 0.58<br>0.50<br>0.42 | 0.54<br>0.45<br>0.31 | 0.13<br>0.17<br>0.23 | 0.10<br>0.13<br>0.14 |",0]
["| Topwordsofimagetheme | AugmentedwordsusingConceptNet |\n| --- | --- |\n| ‘walls’,‘children’,‘classroom’,‘board’,‘desk’ | ‘in-school’,‘student’ |\n| ‘clouds’,‘sky’,‘sun’,‘shade’ | ‘sunset’,‘yellow’,‘blue’ |\n| ‘forest’,‘bushes’,‘dense’,‘path’ | ‘nature’ |\n| ‘spectators’,‘stadium’,‘grandstand’,‘court’ | ‘game-play’,‘watch’ |","| ‘room’,‘wood’,‘walls’,‘lamp’ | ‘furniture’ |\n| --- | --- |\n| ‘building’,‘city’,‘view’,‘night’ | ‘look-through-telescope’,‘dark’ |\n| ‘road’,‘gravel’,‘car’,‘dirt’ | ‘ride’,‘track’ |\n| ‘streets’,‘building’,‘people’,‘pavement’ | ‘road’,‘walk’,‘in-city’ |\n| ‘shorts’‘cyclist’,‘helmet’,‘jersey’ | ‘bike-ride’,‘athlete’ |\n| ‘man’,‘woman’,‘shirt’,‘hands’,‘clothes’ | ‘wear’,‘outﬁt’,‘dress’ |",1]
["| Topwordsofimagetheme | AugmentedwordsusingConceptNet |\n| --- | --- |\n| ‘walls’,‘children’,‘classroom’,‘board’,‘desk’ | ‘in-school’,‘student’ |\n| ‘clouds’,‘sky’,‘sun’,‘shade’ | ‘sunset’,‘yellow’,‘blue’ |\n| ‘forest’,‘bushes’,‘dense’,‘path’ | ‘nature’ |\n| ‘spectators’,‘stadium’,‘grandstand’,‘court’ | ‘game-play’,‘watch’ |","| corpus:low,MRC:high |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| WSJ | Wikipedia-E | Web-E | BNC | MICASE |\n| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |\n| corpus:high,MRC:low |  |  |  |  |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",0]
["| Topwordsofimagetheme | AugmentedwordsusingConceptNet |\n| --- | --- |\n| ‘walls’,‘children’,‘classroom’,‘board’,‘desk’ | ‘in-school’,‘student’ |","| ‘clouds’,‘sky’,‘sun’,‘shade’ | ‘sunset’,‘yellow’,‘blue’ |\n| --- | --- |\n| ‘forest’,‘bushes’,‘dense’,‘path’ | ‘nature’ |\n| ‘spectators’,‘stadium’,‘grandstand’,‘court’ | ‘game-play’,‘watch’ |\n| ‘room’,‘wood’,‘walls’,‘lamp’ | ‘furniture’ |\n| ‘building’,‘city’,‘view’,‘night’ | ‘look-through-telescope’,‘dark’ |\n| ‘road’,‘gravel’,‘car’,‘dirt’ | ‘ride’,‘track’ |\n| ‘streets’,‘building’,‘people’,‘pavement’ | ‘road’,‘walk’,‘in-city’ |\n| ‘shorts’‘cyclist’,‘helmet’,‘jersey’ | ‘bike-ride’,‘athlete’ |\n| ‘man’,‘woman’,‘shirt’,‘hands’,‘clothes’ | ‘wear’,‘outﬁt’,‘dress’ |",1]
["| Topwordsofimagetheme | AugmentedwordsusingConceptNet |\n| --- | --- |\n| ‘walls’,‘children’,‘classroom’,‘board’,‘desk’ | ‘in-school’,‘student’ |","| corpus:high,MRC:low |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",0]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |","| 24 | Mean<br>Min<br>Max |\n| --- | --- |\n| 28 | Mean<br>Min<br>Max |",1]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |","| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 24 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 28 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |",0]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |","| 24 | Mean<br>Min<br>Max |\n| --- | --- |\n| 28 | Mean<br>Min<br>Max |",1]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |","| 20 | Mean<br>Min<br>Max |\n| --- | --- |\n| 24 | Mean<br>Min<br>Max |\n| 28 | Mean<br>Min<br>Max |",0]
["| DataLoadLoss | DataLoadLoss | DataLoadLoss |\n| --- | --- | --- |\n| Sub1All31641580<br>Sub1SwL14031713<br>Sub1SwR14123621<br>Sub1SwL24601143 | Sub3All4236508<br>Sub3SwL4364380 | Sub5SwM4407337 |","| Sub6All34201324<br>Sub6SwL14623121<br>Sub6SwR14607137<br>Sub6SwL2382919 |  |\n| --- | --- |\n| Sub4All4414330<br>Sub4SwL4552192<br>Sub4SwM4636108 |  |\n| Sub2All4441303<br>Sub2SwL4600144<br>Sub2SwM465688 |  |\n| Sub5All4046697 | Sub7Sw04744 |",1]
["| DataLoadLoss | DataLoadLoss | DataLoadLoss |\n| --- | --- | --- |\n| Sub1All31641580<br>Sub1SwL14031713<br>Sub1SwR14123621<br>Sub1SwL24601143 | Sub3All4236508<br>Sub3SwL4364380 | Sub5SwM4407337 |","| Applicati | nVEX1 | VEX2 | VEX4 | VEX8 | VEX16 |\n| --- | --- | --- | --- | --- | --- |\n| fsdither | 143768 | 99667 | 84053 | 80412 | 79949 |\n| hilcurv | 382248 | 214232 | 144607 | 144598 | 144596 |\n| htpack | 33871 | 26418 | 21811 | 16339 | 15621 |\n| htunpack | 33947 | 24759 | 20152 | 12234 | 10445 |\n| xteaenc | 466824 | 256793 | 234399 | 222079 | 220167 |\n| xteadec | 463349 | 255375 | 240186 | 226287 | 223895 |",0]
["| DataLoadLoss | DataLoadLoss | DataLoadLoss |\n| --- | --- | --- |\n| Sub1All31641580<br>Sub1SwL14031713<br>Sub1SwR14123621<br>Sub1SwL24601143 | Sub3All4236508<br>Sub3SwL4364380 | Sub5SwM4407337 |","| Sub6All34201324<br>Sub6SwL14623121<br>Sub6SwR14607137<br>Sub6SwL2382919 |  |\n| --- | --- |\n| Sub4All4414330<br>Sub4SwL4552192<br>Sub4SwM4636108 |  |\n| Sub2All4441303<br>Sub2SwL4600144<br>Sub2SwM465688 |  |\n| Sub5All4046697 | Sub7Sw04744 |",1]
["| DataLoadLoss | DataLoadLoss | DataLoadLoss |\n| --- | --- | --- |\n| Sub1All31641580<br>Sub1SwL14031713<br>Sub1SwR14123621<br>Sub1SwL24601143 | Sub3All4236508<br>Sub3SwL4364380 | Sub5SwM4407337 |","| xteaenc | 466824 | 256793 | 234399 | 222079 | 220167 |\n| --- | --- | --- | --- | --- | --- |\n| xteadec | 463349 | 255375 | 240186 | 226287 | 223895 |",0]
["| Image | KernelSize,<br>Connectivity | Time | Upper-bound<br>SDBCMPLP-CP-v2 | Lower-bound<br>SDBCMPLP-CP-v2 |\n| --- | --- | --- | --- | --- |\n| “1234” | 3×3,23 | 20min<br>1hr<br>24hr | −601.31−601.31<br>−601.31−601.31<br>−601.31−601.31 | −601.42−601.31<br>−601.32−601.31<br>−601.31−601.31 |\n| “1234” | 5×5,70 | 20min<br>1hr<br>24hr | −550.99−550.81<br>−551.02−550.95<br>−551.02−551.02 | −551.84−551.87<br>−551.26−551.30<br>−551.02−551.06 |","| “1234” | 7×7,136 | 20min<br>1hr<br>24hr | −478.07−474.19<br>−478.15−477.47<br>−478.16−477.84 | −479.82−500.90<br>−478.74−487.26<br>−478.16−480.46 |\n| --- | --- | --- | --- | --- |\n| “ABCD” | 3×3,23 | 20min<br>1hr<br>24hr | −524.60−524.60<br>−524.60−524.60<br>−524.60−524.60 | −524.74−524.60<br>−524.63−524.60<br>−524.60−524.60 |\n| “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |\n| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 |",1]
["| Image | KernelSize,<br>Connectivity | Time | Upper-bound<br>SDBCMPLP-CP-v2 | Lower-bound<br>SDBCMPLP-CP-v2 |\n| --- | --- | --- | --- | --- |\n| “1234” | 3×3,23 | 20min<br>1hr<br>24hr | −601.31−601.31<br>−601.31−601.31<br>−601.31−601.31 | −601.42−601.31<br>−601.32−601.31<br>−601.31−601.31 |\n| “1234” | 5×5,70 | 20min<br>1hr<br>24hr | −550.99−550.81<br>−551.02−550.95<br>−551.02−551.02 | −551.84−551.87<br>−551.26−551.30<br>−551.02−551.06 |","| Image | Method | CSr |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.02 | 0.04 | 0.06 | 0.08 | 0.10 |  |  |\n| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 |\n| Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 |\n| Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 |\n| Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 |\n| House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 |\n| Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 |\n| Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 |\n| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",0]
["| Image | KernelSize,<br>Connectivity | Time | Upper-bound<br>SDBCMPLP-CP-v2 | Lower-bound<br>SDBCMPLP-CP-v2 |\n| --- | --- | --- | --- | --- |\n| “1234” | 3×3,23 | 20min<br>1hr<br>24hr | −601.31−601.31<br>−601.31−601.31<br>−601.31−601.31 | −601.42−601.31<br>−601.32−601.31<br>−601.31−601.31 |\n| “1234” | 5×5,70 | 20min<br>1hr<br>24hr | −550.99−550.81<br>−551.02−550.95<br>−551.02−551.02 | −551.84−551.87<br>−551.26−551.30<br>−551.02−551.06 |\n| “1234” | 7×7,136 | 20min<br>1hr<br>24hr | −478.07−474.19<br>−478.15−477.47<br>−478.16−477.84 | −479.82−500.90<br>−478.74−487.26<br>−478.16−480.46 |","| “ABCD” | 3×3,23 | 20min<br>1hr<br>24hr | −524.60−524.60<br>−524.60−524.60<br>−524.60−524.60 | −524.74−524.60<br>−524.63−524.60<br>−524.60−524.60 |\n| --- | --- | --- | --- | --- |\n| “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |\n| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 |",1]
["| Image | KernelSize,<br>Connectivity | Time | Upper-bound<br>SDBCMPLP-CP-v2 | Lower-bound<br>SDBCMPLP-CP-v2 |\n| --- | --- | --- | --- | --- |\n| “1234” | 3×3,23 | 20min<br>1hr<br>24hr | −601.31−601.31<br>−601.31−601.31<br>−601.31−601.31 | −601.42−601.31<br>−601.32−601.31<br>−601.31−601.31 |\n| “1234” | 5×5,70 | 20min<br>1hr<br>24hr | −550.99−550.81<br>−551.02−550.95<br>−551.02−551.02 | −551.84−551.87<br>−551.26−551.30<br>−551.02−551.06 |\n| “1234” | 7×7,136 | 20min<br>1hr<br>24hr | −478.07−474.19<br>−478.15−477.47<br>−478.16−477.84 | −479.82−500.90<br>−478.74−487.26<br>−478.16−480.46 |","| Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 |\n| --- | --- | --- | --- | --- | --- | --- |\n| House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 |\n| Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 |\n| Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 |\n| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",0]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands |\n| 2 | HandsClean,HandsWashed | tapoﬀ | Rn:tapoﬀ | Turnontap |\n| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |\n| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |","| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnoﬀtap |\n| --- | --- | --- | --- | --- |\n| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoﬀ | Af:handswashed | Taskcomplete |",1]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands |\n| 2 | HandsClean,HandsWashed | tapoﬀ | Rn:tapoﬀ | Turnontap |\n| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |\n| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |","| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | Final,wetbrush | teethdirty,tapoﬀ | Af:tap | Turnontap |\n| 2 | Final,wetbrush | teethdirty,brushonsurface | Rn:brushonsurface | Takebrushfromsurface |\n| 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup |\n| 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush |",0]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands |\n| 2 | HandsClean,HandsWashed | tapoﬀ | Rn:tapoﬀ | Turnontap |\n| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |","| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |\n| --- | --- | --- | --- | --- |\n| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnoﬀtap |\n| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoﬀ | Af:handswashed | Taskcomplete |",1]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands |\n| 2 | HandsClean,HandsWashed | tapoﬀ | Rn:tapoﬀ | Turnontap |\n| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |","| 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup |\n| --- | --- | --- | --- | --- |\n| 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush |",0]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| No | 2.01±0.03 | 1.5→4.3±0.9 | 117±70 | 1.99±0.05 | 1.5→2.6±0.1 | 147±39 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L1 | 1.92±0.05 | 1.6→3.4±1.3 | 188±54 | 1.88±0.02 | 1.6→2.0±0.1 | 245±59 |\n| Drop | 1.66±0.05 | 1.3→12.1±0.6 | 102±17 | 1.52±0.05 | 1.3→3.9±0.3 | 138±35 |",1]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 2.25±0.04 | 6.7→13.3±0.2 | 73±52 | 2.33±0.09 | 6.7→9.5±0.3 | 47±16 |\n| L1 | 1.60±0.05 | 4.7→20.5±2.9 | 23±13 | 1.61±0.06 | 4.7→11.9±3.2 | 37±15 |\n| Drop | 1.58±0.10 | 5.9→20.5±1.1 | 113±21 | 1.55±0.18 | 5.9→20.0±1.5 | 145±46 |",0]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 2.01±0.03 | 1.5→4.3±0.9 | 117±70 | 1.99±0.05 | 1.5→2.6±0.1 | 147±39 |","| L1 | 1.92±0.05 | 1.6→3.4±1.3 | 188±54 | 1.88±0.02 | 1.6→2.0±0.1 | 245±59 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Drop | 1.66±0.05 | 1.3→12.1±0.6 | 102±17 | 1.52±0.05 | 1.3→3.9±0.3 | 138±35 |",1]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 2.01±0.03 | 1.5→4.3±0.9 | 117±70 | 1.99±0.05 | 1.5→2.6±0.1 | 147±39 |","| No | 2.25±0.04 | 6.7→13.3±0.2 | 73±52 | 2.33±0.09 | 6.7→9.5±0.3 | 47±16 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L1 | 1.60±0.05 | 4.7→20.5±2.9 | 23±13 | 1.61±0.06 | 4.7→11.9±3.2 | 37±15 |\n| Drop | 1.58±0.10 | 5.9→20.5±1.1 | 113±21 | 1.55±0.18 | 5.9→20.0±1.5 | 145±46 |",0]
["| Server | PowerandCooling |\n| --- | --- |\n| 68 | 38 |\n| 44 | 25 |\n| 62 | 12 |\n| 59 | 37 |\n| 49 | 10 |\n| 54 | 20 |\n| 59 | 18 |\n| 78 | 25 |\n| 73 | 25 |","| 49 | 10 |\n| --- | --- |\n| 75 | 21 |\n| 61 | 19 |\n| 57 | 28 |\n| 61 | 34 |\n| 56 | 34 |\n| 56 | 11 |\n| 66 | 12 |",1]
["| Server | PowerandCooling |\n| --- | --- |\n| 68 | 38 |\n| 44 | 25 |\n| 62 | 12 |\n| 59 | 37 |\n| 49 | 10 |\n| 54 | 20 |\n| 59 | 18 |\n| 78 | 25 |\n| 73 | 25 |","| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| Server | PowerandCooling |\n| --- | --- |\n| 68 | 38 |\n| 44 | 25 |\n| 62 | 12 |\n| 59 | 37 |\n| 49 | 10 |\n| 54 | 20 |\n| 59 | 18 |\n| 78 | 25 |\n| 73 | 25 |\n| 49 | 10 |\n| 75 | 21 |","| 61 | 19 |\n| --- | --- |\n| 57 | 28 |\n| 61 | 34 |\n| 56 | 34 |\n| 56 | 11 |\n| 66 | 12 |",1]
["| Server | PowerandCooling |\n| --- | --- |\n| 68 | 38 |\n| 44 | 25 |\n| 62 | 12 |\n| 59 | 37 |\n| 49 | 10 |\n| 54 | 20 |\n| 59 | 18 |\n| 78 | 25 |\n| 73 | 25 |\n| 49 | 10 |\n| 75 | 21 |","| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| --- | --- | --- | --- | --- | --- |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| CSPcategory | numberofinstances |\n| --- | --- |\n| Realworld | 80 |\n| Patterned | 36 |","| Academic | 48 |\n| --- | --- |\n| Quasirandom | 28 |\n| Purerandom | 36 |\n| Boolean | 92 |",1]
["| CSPcategory | numberofinstances |\n| --- | --- |\n| Realworld | 80 |\n| Patterned | 36 |","| language | ﬁnalstates | language | ﬁnalstates |\n| --- | --- | --- | --- |\n| L | 3,7,8 | pcpc(L) | 1,5,6,7 |\n| c(L) | 1,2,4,5,6 | cpcp(L) | 2,3,6,7 |\n| p(L) | 1,2,3,5,6,7,8 | cpcpc(L) | 2,3,4,8 |\n| pc(L) | 1,2,3,4,5,6,8 | pcpcp(L) | 1,2,3,5,6,7 |\n| cp(L) | 4 | pcpcpc(L) | 1,2,3,4,5,8 |\n| cpc(L) | 7 | cpcpcp(L) | 4,8 |\n| pcp(L) | 1,4,5,8 | cpcpcpc(L) | 6,7 |",0]
["| CSPcategory | numberofinstances |\n| --- | --- |\n| Realworld | 80 |\n| Patterned | 36 |","| Academic | 48 |\n| --- | --- |\n| Quasirandom | 28 |\n| Purerandom | 36 |\n| Boolean | 92 |",1]
["| CSPcategory | numberofinstances |\n| --- | --- |\n| Realworld | 80 |\n| Patterned | 36 |","| cpc(L) | 7 | cpcpcp(L) | 4,8 |\n| --- | --- | --- | --- |\n| pcp(L) | 1,4,5,8 | cpcpcpc(L) | 6,7 |",0]
["|  | DiceScore |  |  |  |\n| --- | --- | --- | --- | --- |\n| LV | RV | MYO | LV | RV |","| ED | ES | ED | ES | ED | ES | ED | ES | ED | ES | ED |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CELoss | 0.95 | 0.90 | 0.87 | 0.76 | 0.79 | 0.82 | 13.92 | 17.67 | 27.40 | 27.73 | 23.81 |\n| DiceLoss | 0.95 | 0.90 | 0.90 | 0.79 | 0.86 | 0.88 | 9.51 | 12.29 | 16.1 | 20.38 | 13.45 |\n| Dice-CELoss | 0.95 | 0.90 | 0.89 | 0.81 | 0.83 | 0.84 | 9.15 | 11.7 | 16.0 | 18.22 | 13.87 |",1]
["|  | DiceScore |  |  |  |\n| --- | --- | --- | --- | --- |\n| LV | RV | MYO | LV | RV |","| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |\n| 0.968 | 0.970 | 0.970 | 0.968 |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["|  | DiceScore |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LV | RV | MYO | LV | RV |  |  |  |  |  |  |\n| ED | ES | ED | ES | ED | ES | ED | ES | ED | ES | ED |","| CELoss | 0.95 | 0.90 | 0.87 | 0.76 | 0.79 | 0.82 | 13.92 | 17.67 | 27.40 | 27.73 | 23.81 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DiceLoss | 0.95 | 0.90 | 0.90 | 0.79 | 0.86 | 0.88 | 9.51 | 12.29 | 16.1 | 20.38 | 13.45 |\n| Dice-CELoss | 0.95 | 0.90 | 0.89 | 0.81 | 0.83 | 0.84 | 9.15 | 11.7 | 16.0 | 18.22 | 13.87 |",1]
["|  | DiceScore |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LV | RV | MYO | LV | RV |  |  |  |  |  |  |\n| ED | ES | ED | ES | ED | ES | ED | ES | ED | ES | ED |","| 0.968 | 0.968 | 0.967 | 0.968 |\n| --- | --- | --- | --- |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["| Property | Simulation | StarcraftII |\n| --- | --- | --- |\n| Population | 50 | 50 |\n| Generations | 100 | 100 |\n| Species | 5 | 5 |\n| InitialConnProbability | 0.2 | 0.1 |\n| ElitismProportion | 0.2 | 0.2 |\n| SelectionProportion | 0.2 | 0.2 |\n| AsexualOﬀspringProportion | 0.5 | 0.8 |\n| SexualOﬀspringProportion | 0.5 | 0.2 |","| Inter-speciesMating | 0.01 | 0.01 |\n| --- | --- | --- |\n| ConnectionWeightRange | 5 | 7 |\n| ProbabilityWeightMutation | 0.95 | 0.95 |\n| ProbabilityAddNode | 0.01 | 0.02 |\n| ProbabilityAddConnection | 0.025 | 0.04 |\n| ProbabilityDeleteConnection | 0.025 | 0.025 |",1]
["| Property | Simulation | StarcraftII |\n| --- | --- | --- |\n| Population | 50 | 50 |\n| Generations | 100 | 100 |\n| Species | 5 | 5 |\n| InitialConnProbability | 0.2 | 0.1 |\n| ElitismProportion | 0.2 | 0.2 |\n| SelectionProportion | 0.2 | 0.2 |\n| AsexualOﬀspringProportion | 0.5 | 0.8 |\n| SexualOﬀspringProportion | 0.5 | 0.2 |","| Feature | Starbucks | Dun.Don. | McDon. |\n| --- | --- | --- | --- |\n| GeographicFeatures |  |  |  |\n| Density | 0.60 | 0.79 | 0.73 |\n| Entropy | 0.65 | 0.60 | 0.69 |\n| Competitiveness | 0.70 | 0.68 | 0.78 |\n| JensenQuality | 0.54 | 0.81 | 0.72 |\n| MobilityFeatures |  |  |  |\n| AreaPopularity | 0.54 | 0.77 | 0.78 |\n| TransitionDensity | 0.62 | 0.79 | 0.78 |\n| IncomingFlow | 0.60 | 0.75 | 0.79 |\n| TransitionQuality | 0.66 | 0.81 | 0.73 |\n| RandomBaseline |  |  |  |\n|  | 0.48 | 0.51 | 0.53 |",0]
["| Property | Simulation | StarcraftII |\n| --- | --- | --- |\n| Population | 50 | 50 |\n| Generations | 100 | 100 |\n| Species | 5 | 5 |\n| InitialConnProbability | 0.2 | 0.1 |\n| ElitismProportion | 0.2 | 0.2 |","| SelectionProportion | 0.2 | 0.2 |\n| --- | --- | --- |\n| AsexualOﬀspringProportion | 0.5 | 0.8 |\n| SexualOﬀspringProportion | 0.5 | 0.2 |\n| Inter-speciesMating | 0.01 | 0.01 |\n| ConnectionWeightRange | 5 | 7 |\n| ProbabilityWeightMutation | 0.95 | 0.95 |\n| ProbabilityAddNode | 0.01 | 0.02 |\n| ProbabilityAddConnection | 0.025 | 0.04 |\n| ProbabilityDeleteConnection | 0.025 | 0.025 |",1]
["| Property | Simulation | StarcraftII |\n| --- | --- | --- |\n| Population | 50 | 50 |\n| Generations | 100 | 100 |\n| Species | 5 | 5 |\n| InitialConnProbability | 0.2 | 0.1 |\n| ElitismProportion | 0.2 | 0.2 |","| MobilityFeatures |  |  |  |\n| --- | --- | --- | --- |\n| AreaPopularity | 0.54 | 0.77 | 0.78 |\n| TransitionDensity | 0.62 | 0.79 | 0.78 |\n| IncomingFlow | 0.60 | 0.75 | 0.79 |\n| TransitionQuality | 0.66 | 0.81 | 0.73 |\n| RandomBaseline |  |  |  |\n|  | 0.48 | 0.51 | 0.53 |",0]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)835 | 0.6 |\n| (S,S)358 | 0.2 |","| (S,S)1013 | 0.7 |\n| --- | --- |\n| (S,S)1310 | 0.3 |",1]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)835 | 0.6 |\n| (S,S)358 | 0.2 |","| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)115 | 0.7 |\n| (S,S)511 | 0.6 |\n| (S,S)1223 | 0.3 |\n| (S,S)2312 | 0.1 |",0]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)835 | 0.6 |","| (S,S)358 | 0.2 |\n| --- | --- |\n| (S,S)1013 | 0.7 |\n| (S,S)1310 | 0.3 |",1]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)835 | 0.6 |","| (S,S)1223 | 0.3 |\n| --- | --- |\n| (S,S)2312 | 0.1 |",0]
["|  | ExactlyK-sparsesignal |  |  |\n| --- | --- | --- | --- |\n| Samples | Complexity | Assumption | Samples |","|  | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |\n| --- | --- | --- | --- | --- |\n|  | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |\n|  | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |\n|  | O(K) | 3O(KlogN) | K=O(N) | void |\n|  | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |\n| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) |",1]
["|  | ExactlyK-sparsesignal |  |  |\n| --- | --- | --- | --- |\n| Samples | Complexity | Assumption | Samples |","| Step | Complexity |\n| --- | --- |\n| 1 | O(Nl)orO(Km) |\n| 2 | O(Nl)orO(Kml) |\n| 3 | O(Kt) |\n| 4 | O(N)orO(Km/l) |",0]
["|  | ExactlyK-sparsesignal |  |  |  |\n| --- | --- | --- | --- | --- |\n| Samples | Complexity | Assumption | Samples |  |\n|  | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |\n|  | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |","|  | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |\n| --- | --- | --- | --- | --- |\n|  | O(K) | 3O(KlogN) | K=O(N) | void |\n|  | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |\n| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) |",1]
["|  | ExactlyK-sparsesignal |  |  |  |\n| --- | --- | --- | --- | --- |\n| Samples | Complexity | Assumption | Samples |  |\n|  | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |\n|  | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |","| 2 | O(Nl)orO(Kml) |\n| --- | --- |\n| 3 | O(Kt) |\n| 4 | O(N)orO(Km/l) |",0]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9725 | 0.9704 | 0.9687 | 0.9663 |\n| 0.9758 | 0.6258 | 0.9719 | 0.9638 |","| 0.9812 | 0.5303 | 0.9640 | 0.9751 |\n| --- | --- | --- | --- |\n| 0.9868 | 0.3916 | 0.9589 | 0.9637 |",1]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9725 | 0.9704 | 0.9687 | 0.9663 |\n| 0.9758 | 0.6258 | 0.9719 | 0.9638 |","| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9708 | 0.9638 | 0.9371 | 0.8895 |\n| 0.9737 | 0.7189 | 0.9675 | 0.9643 |\n| 0.9749 | 0.3620 | 0.9611 | 0.9725 |\n| 0.9760 | 0.3211 | 0.9565 | 0.9737 |",0]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9725 | 0.9704 | 0.9687 | 0.9663 |\n| 0.9758 | 0.6258 | 0.9719 | 0.9638 |","| 0.9812 | 0.5303 | 0.9640 | 0.9751 |\n| --- | --- | --- | --- |\n| 0.9868 | 0.3916 | 0.9589 | 0.9637 |",1]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9725 | 0.9704 | 0.9687 | 0.9663 |\n| 0.9758 | 0.6258 | 0.9719 | 0.9638 |","| 0.9737 | 0.7189 | 0.9675 | 0.9643 |\n| --- | --- | --- | --- |\n| 0.9749 | 0.3620 | 0.9611 | 0.9725 |\n| 0.9760 | 0.3211 | 0.9565 | 0.9737 |",0]
["| Scenario | Workload | Application/Process | SNRb(dB) |\n| --- | --- | --- | --- |\n| #1 | Idle | Backgroundprocesses | 36.47 |\n| #2 | Wordprocessing | LibreOﬃceWriter | 36.00 |","| #3 | Videoplay | VLCPlayer | 35.31 |\n| --- | --- | --- | --- |\n| #4 | Backup | rsync | 32.04 |\n| #5 | Calculations | matho-primes | 33.97 |",1]
["| Scenario | Workload | Application/Process | SNRb(dB) |\n| --- | --- | --- | --- |\n| #1 | Idle | Backgroundprocesses | 36.47 |\n| #2 | Wordprocessing | LibreOﬃceWriter | 36.00 |","| Job/Task | Scheduler | FIFO | Fair | Capacity |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n| Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 |\n| Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 |  |\n| HDFSRead(10bytes) | 9930 | 7431 | 10968 | 8762 | 12463 | 8360 |  |\n| HDFSWrite(10bytes) | 8583 | 5985 | 9784 | 6202 | 10285 | 7420 |  |\n| Task | CPU(ms) | 3855 | 2520 | 4033 | 2184 | 4170 | 2851 |\n| Memory(10bytes | 1412 | 1058 | 2496 | 1741 | 2638 | 2115 |  |\n| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 |  |\n| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 |  |",0]
["| Scenario | Workload | Application/Process | SNRb(dB) |\n| --- | --- | --- | --- |\n| #1 | Idle | Backgroundprocesses | 36.47 |\n| #2 | Wordprocessing | LibreOﬃceWriter | 36.00 |","| #3 | Videoplay | VLCPlayer | 35.31 |\n| --- | --- | --- | --- |\n| #4 | Backup | rsync | 32.04 |\n| #5 | Calculations | matho-primes | 33.97 |",1]
["| Scenario | Workload | Application/Process | SNRb(dB) |\n| --- | --- | --- | --- |\n| #1 | Idle | Backgroundprocesses | 36.47 |\n| #2 | Wordprocessing | LibreOﬃceWriter | 36.00 |","| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 |\n| --- | --- | --- | --- | --- | --- | --- |\n| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 |",0]
["| Problem | ACS | TimeACS | SAM | TimeSAM |\n| --- | --- | --- | --- | --- |\n| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |\n| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |","| 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 |\n| --- | --- | --- | --- | --- |\n| 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 |\n| 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 |\n| 21eil101A | 699.46 | 29.00 | 690.39 | 124.30 |\n| 21eil101B | 996.41 | 25.95 | 998.71 | 27.90 |",1]
["| Problem | ACS | TimeACS | SAM | TimeSAM |\n| --- | --- | --- | --- | --- |\n| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |\n| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |","| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |\n| --- | --- | --- |\n| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |\n| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |\n| 500020 | 1.70.363.111.08 | 246.846464.269.7 |\n| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |\n| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |\n| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |\n| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 |",0]
["| Problem | ACS | TimeACS | SAM | TimeSAM |\n| --- | --- | --- | --- | --- |\n| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |\n| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |\n| 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 |\n| 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 |\n| 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 |","| 21eil101A | 699.46 | 29.00 | 690.39 | 124.30 |\n| --- | --- | --- | --- | --- |\n| 21eil101B | 996.41 | 25.95 | 998.71 | 27.90 |",1]
["| Problem | ACS | TimeACS | SAM | TimeSAM |\n| --- | --- | --- | --- | --- |\n| 11eil51 | 429.85 | 210.20 | 424.05 | 96.40 |\n| 16eil76A | 706.09 | 109.20 | 677.85 | 187.60 |\n| 16eil76B | 684.04 | 50.7 | 608.62 | 173.7 |\n| 16eil76C | 625.87 | 73.00 | 602.06 | 42.25 |\n| 16eil76D | 566.56 | 93.20 | 533.12 | 223.45 |","| 500020 | 1.70.363.111.08 | 246.846464.269.7 |\n| --- | --- | --- |\n| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |\n| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |\n| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |\n| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 |","| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 58.6<br>56.9<br>60.3<br>63.3<br>66.8<br>68.2<br>68.3<br>68.6 | 87.6<br>85.8<br>88.4<br>90.7<br>91.5<br>92.8<br>92.6<br>93.4 | 92.4<br>91.8<br>92.8<br>93.7<br>94.8<br>96.2<br>95.9<br>96.8 | 94.8<br>93.6<br>95.3<br>96.2<br>97.7<br>98.1<br>97.7<br>98.3 | 96.7<br>95.4<br>97.3<br>97.8<br>98.4<br>98.6<br>98.6<br>98.8 | 97.4<br>96.2<br>97.7<br>98.4<br>99.2<br>99.4<br>99.2<br>99.5 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 65.4<br>63.9<br>66.0<br>68.1<br>71.4<br>73.1<br>72.8<br>73.5 | 90.4<br>89.6<br>91.2<br>92.1<br>92.5<br>92.8<br>92.8<br>93.3 | 92.7<br>92.2<br>93.4<br>94.3<br>95.6<br>96.4<br>96.0<br>96.8 | 94.8<br>94.3<br>95.2<br>95.9<br>96.3<br>97.2<br>96.8<br>97.5 | 96.1<br>95.7<br>96.4<br>96.7<br>97.1<br>97.8<br>97.4<br>98.2 | 96.6<br>96.8<br>96.8<br>97.2<br>97.8<br>98.6<br>98.3<br>99.0 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 |","| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 |","| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 58.6<br>56.9<br>60.3<br>63.3<br>66.8<br>68.2<br>68.3<br>68.6 | 87.6<br>85.8<br>88.4<br>90.7<br>91.5<br>92.8<br>92.6<br>93.4 | 92.4<br>91.8<br>92.8<br>93.7<br>94.8<br>96.2<br>95.9<br>96.8 | 94.8<br>93.6<br>95.3<br>96.2<br>97.7<br>98.1<br>97.7<br>98.3 | 96.7<br>95.4<br>97.3<br>97.8<br>98.4<br>98.6<br>98.6<br>98.8 | 97.4<br>96.2<br>97.7<br>98.4<br>99.2<br>99.4<br>99.2<br>99.5 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 65.4<br>63.9<br>66.0<br>68.1<br>71.4<br>73.1<br>72.8<br>73.5 | 90.4<br>89.6<br>91.2<br>92.1<br>92.5<br>92.8<br>92.8<br>93.3 | 92.7<br>92.2<br>93.4<br>94.3<br>95.6<br>96.4<br>96.0<br>96.8 | 94.8<br>94.3<br>95.2<br>95.9<br>96.3<br>97.2<br>96.8<br>97.5 | 96.1<br>95.7<br>96.4<br>96.7<br>97.1<br>97.8<br>97.4<br>98.2 | 96.6<br>96.8<br>96.8<br>97.2<br>97.8<br>98.6<br>98.3<br>99.0 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 50.5<br>49.0<br>53.1<br>58.2<br>61.5<br>63.1<br>62.8<br>63.6 | 80.3<br>81.7<br>82.4<br>85.6<br>91.8<br>92.2<br>92.0<br>92.6 | 87.0<br>90.4<br>89.1<br>94.2<br>95.2<br>95.2<br>95.4<br>95.8 | 91.3<br>92.8<br>94.4<br>97.1<br>98.1<br>98.2<br>98.4<br>98.4 | 94.2<br>95.7<br>95.3<br>98.1<br>98.6<br>98.8<br>98.6<br>98.6 | 95.7<br>96.2<br>96.4<br>98.6<br>99.0<br>99.2<br>99.3<br>99.2 |","| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["| Design | TR | MATEX | MATEXw/grouping |\n| --- | --- | --- | --- |\n| #Sub. | #Sub. | #MaxSub. |  |","| ibmpg1t | 1000 | 830 | 120 |\n| --- | --- | --- | --- |\n| ibmpg2t | 1000 | 830 | 120 |\n| ibmpg3t | 1000 | 874 | 120 |\n| ibmpg4t | 1000 | 349 | 143 |\n| ibmpg5t | 1000 | 982 | 139 |\n| ibmpg6t | 1000 | 932 | 134 |",1]
["| Design | TR | MATEX | MATEXw/grouping |\n| --- | --- | --- | --- |\n| #Sub. | #Sub. | #MaxSub. |  |","| Homosapiens75 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Run1 | Run2 |  |  |  |  |  |\n| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| 25 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 55 | 0 | 0 | 2 | 0 | 1 | 1 |\n| 75 | 1 | 1 | 2 | 1 | 1 | 3 |\n| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| Design | TR | MATEX | MATEXw/grouping |\n| --- | --- | --- | --- |\n| #Sub. | #Sub. | #MaxSub. |  |\n| ibmpg1t | 1000 | 830 | 120 |","| ibmpg2t | 1000 | 830 | 120 |\n| --- | --- | --- | --- |\n| ibmpg3t | 1000 | 874 | 120 |\n| ibmpg4t | 1000 | 349 | 143 |\n| ibmpg5t | 1000 | 982 | 139 |\n| ibmpg6t | 1000 | 932 | 134 |",1]
["| Design | TR | MATEX | MATEXw/grouping |\n| --- | --- | --- | --- |\n| #Sub. | #Sub. | #MaxSub. |  |\n| ibmpg1t | 1000 | 830 | 120 |","| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |\n| --- | --- | --- | --- | --- | --- |\n| Child | 32 | Road | 18 | TraﬃcLight | 17 |\n| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |\n| Animal | 30 | LaneMkgsDriv | 20 | TraﬃcCone | 15 |\n| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |\n| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |\n| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 |","| Car | 26 | Tunnel | 2 | ParkingBlock | 11 |\n| --- | --- | --- | --- | --- | --- |\n| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |\n| TruckBus | 24 |  |  | Building | 9 |\n| Train | 23 |  |  | Fence | 8 |\n| Misc | 22 |  |  | Wall | 7 |\n|  |  |  |  | Tree | 6 |\n|  |  |  |  | VegetationMisc | 5 |\n|  |  |  |  | Void | 4 |",1]
["| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |\n| --- | --- | --- | --- | --- | --- |\n| Child | 32 | Road | 18 | TraﬃcLight | 17 |\n| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |\n| Animal | 30 | LaneMkgsDriv | 20 | TraﬃcCone | 15 |\n| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |\n| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |\n| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 |","| Actions | SlideLeft | SlideRight | Touch | Reach | Push |\n| --- | --- | --- | --- | --- | --- |\n| VerbValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |\n| Actions | Pull | Point | Grasp | Lift |  |\n| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 |  |\n| Objects | Tractor | Hammer | Ball | Bus | Modi |\n| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |\n| Objects | Car | Cup | Cubes | Spiky |  |\n| NounValues | 0.5 | 0.6 | 0.7 | 0.8 |  |",0]
["| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |\n| --- | --- | --- | --- | --- | --- |\n| Child | 32 | Road | 18 | TraﬃcLight | 17 |\n| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |\n| Animal | 30 | LaneMkgsDriv | 20 | TraﬃcCone | 15 |\n| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |\n| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |\n| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 |\n| Car | 26 | Tunnel | 2 | ParkingBlock | 11 |\n| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |\n| TruckBus | 24 |  |  | Building | 9 |\n| Train | 23 |  |  | Fence | 8 |\n| Misc | 22 |  |  | Wall | 7 |","|  |  |  |  | Tree | 6 |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  | VegetationMisc | 5 |\n|  |  |  |  | Void | 4 |",1]
["| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |\n| --- | --- | --- | --- | --- | --- |\n| Child | 32 | Road | 18 | TraﬃcLight | 17 |\n| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |\n| Animal | 30 | LaneMkgsDriv | 20 | TraﬃcCone | 15 |\n| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |\n| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |\n| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 |\n| Car | 26 | Tunnel | 2 | ParkingBlock | 11 |\n| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |\n| TruckBus | 24 |  |  | Building | 9 |\n| Train | 23 |  |  | Fence | 8 |\n| Misc | 22 |  |  | Wall | 7 |","| Actions | Pull | Point | Grasp | Lift |  |\n| --- | --- | --- | --- | --- | --- |\n| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 |  |\n| Objects | Tractor | Hammer | Ball | Bus | Modi |\n| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |\n| Objects | Car | Cup | Cubes | Spiky |  |\n| NounValues | 0.5 | 0.6 | 0.7 | 0.8 |  |",0]
["|  | 100K | 1M | 10M | 100M |\n| --- | --- | --- | --- | --- |\n| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |\n| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |","| WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s |\n| --- | --- | --- | --- | --- |\n| SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s |",1]
["|  | 100K | 1M | 10M | 100M |\n| --- | --- | --- | --- | --- |\n| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |\n| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |","| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |\n|  | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |\n|  | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |\n|  | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |\n|  | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |\n|  | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |\n|  | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |\n| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",0]
["|  | 100K | 1M | 10M | 100M |\n| --- | --- | --- | --- | --- |\n| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |","| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |\n| --- | --- | --- | --- | --- |\n| WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s |\n| SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s |",1]
["|  | 100K | 1M | 10M | 100M |\n| --- | --- | --- | --- | --- |\n| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |","| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",0]
["| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |\n| --- | --- | --- | --- | --- | --- |\n| T1girl | 1241 | 610 | 540 | 661 | 57 |\n| T2girl | 1259 | 678 | 622 | 754 | 39 |\n| T3girl | 1362 | 660 | 571.5 | 723.5 | 56 |","| T4girl | 1361.5 | 747.5 | 673 | 814 | 34 |\n| --- | --- | --- | --- | --- | --- |\n| T5girl | 1417 | 832 | 767 | 903 | 9 |",1]
["| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |\n| --- | --- | --- | --- | --- | --- |\n| T1girl | 1241 | 610 | 540 | 661 | 57 |\n| T2girl | 1259 | 678 | 622 | 754 | 39 |\n| T3girl | 1362 | 660 | 571.5 | 723.5 | 56 |","| Attribute | male | longhair | glasses | hat | tshirt | longsleeves | short | jeans |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DL-Pure | 80.65 | 63.23 | 30.74 | 57.21 | 37.99 | 71.76 | 35.05 | 60.18 |\n| DeCAF | 79.64 | 62.29 | 31.29 | 55.17 | 41.84 | 78.77 | 80.66 | 81.46 |\n| Poselets150L2 | 81.70 | 67.07 | 44.24 | 54.01 | 42.16 | 71.70 | 36.71 | 42.56 |\n| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |\n| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 |",0]
["| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |\n| --- | --- | --- | --- | --- | --- |\n| T1girl | 1241 | 610 | 540 | 661 | 57 |\n| T2girl | 1259 | 678 | 622 | 754 | 39 |","| T3girl | 1362 | 660 | 571.5 | 723.5 | 56 |\n| --- | --- | --- | --- | --- | --- |\n| T4girl | 1361.5 | 747.5 | 673 | 814 | 34 |\n| T5girl | 1417 | 832 | 767 | 903 | 9 |",1]
["| Size | Height | Chestlength | Waistlength | Hiplength | Groupsize |\n| --- | --- | --- | --- | --- | --- |\n| T1girl | 1241 | 610 | 540 | 661 | 57 |\n| T2girl | 1259 | 678 | 622 | 754 | 39 |","| DLPoselets | 92.10 | 82.26 | 76.25 | 65.55 | 44.83 | 77.31 | 43.71 | 52.52 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PANDA | 91.66 | 82.70 | 69.95 | 74.22 | 49.84 | 86.01 | 79.08 | 80.99 |",0]
["| Name | Description |\n| --- | --- |\n| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |\n| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |\n| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |","| IR-l2r | IR-basedmethodwithfourteen<br>diﬀerentfeaturesandlearned<br>bylearningtorank |\n| --- | --- |\n| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |",1]
["| Name | Description |\n| --- | --- |\n| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |\n| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |\n| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |","| Name | Abbr. | Description |\n| --- | --- | --- |\n| Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel |\n| HeuristicallyOptimizedTrade-oﬀs | FKP | Localoptimizationmodel |\n| GeneralizedLinearPreference | GLP | Modiﬁedpreferentialattachmentmodel |\n| UnivariateHeuristicallyOptimizedTrade-oﬀs | UFKP | Modiﬁedlocaloptimizationmodel |\n| BivariateHeuristicallyOptimizedTrade-oﬀs | BFKP | Modiﬁedlocaloptimizationmodel |\n| MultivariateHeuristicallyOptimizedTrade-oﬀs | MFKP | Modiﬁedlocaloptimizationmodel |\n| InteractiveGrowth | IG | Modiﬁedpreferentialattachmentmodel |\n| PositiveFeedbackPreference(1) | PFP1 | ModiﬁedIGmodel |\n| PositiveFeedbackPreference(2) | PFP1 | ModiﬁedPFP1model |\n| ASIM | ASIM | Agentbasedtopologygenerator |",0]
["| Name | Description |\n| --- | --- |\n| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |\n| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |","| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |\n| --- | --- |\n| IR-l2r | IR-basedmethodwithfourteen<br>diﬀerentfeaturesandlearned<br>bylearningtorank |\n| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |",1]
["| Name | Description |\n| --- | --- |\n| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |\n| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |","| GeneralizedLinearPreference | GLP | Modiﬁedpreferentialattachmentmodel |\n| --- | --- | --- |\n| UnivariateHeuristicallyOptimizedTrade-oﬀs | UFKP | Modiﬁedlocaloptimizationmodel |\n| BivariateHeuristicallyOptimizedTrade-oﬀs | BFKP | Modiﬁedlocaloptimizationmodel |\n| MultivariateHeuristicallyOptimizedTrade-oﬀs | MFKP | Modiﬁedlocaloptimizationmodel |\n| InteractiveGrowth | IG | Modiﬁedpreferentialattachmentmodel |\n| PositiveFeedbackPreference(1) | PFP1 | ModiﬁedIGmodel |\n| PositiveFeedbackPreference(2) | PFP1 | ModiﬁedPFP1model |\n| ASIM | ASIM | Agentbasedtopologygenerator |",0]
["| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |\n| --- | --- | --- | --- | --- |\n| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |\n| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |","| UIBO-DUCB | 0.59±0.15 | 0.26±0.08 | 16.12±2.04 | 0.61±0.17 |\n| --- | --- | --- | --- | --- |\n| BO-ES | 0.58±0.10 | 0.32±0.07 | 57.07±2.73 | 1.00 |\n| UBO-ES | 0.64±0.12 | 0.34±0.08 | 67.15±2.56 | 1.00±0.03 |\n| UIBO-ES | 0.38±0.05 | 0.22±0.05 | 62.85±2.06 | 0.99±0.03 |",1]
["| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |\n| --- | --- | --- | --- | --- |\n| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |\n| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |","| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.3279±0.1596 | 0.2145 | 211 | - |\n| GKKM | 0.3269±0.1594 | 0.6759 | 7 | 0.9220 |\n| M=5,µ=0.2500,σ=0.04500 |  |  |  |  |\n| CCBS<br>GCBS | 0.3427±0.1751<br>0.3446±0.1767 | 0.0606<br>0.0209 | 6<br>6 | 0.2461<br>0.2439 |\n| M=10,µ=0.1111,σ=0.02010 |  |  |  |  |\n| CCBS<br>GCBS | 0.3361±0.1686<br>0.3428±0.1745 | 0.0671<br>0.0142 | 12<br>9 | 0.1101<br>0.0840 |\n| M=20,µ=0.0526,σ=0.01040 |  |  |  |  |\n| CCBS<br>GCBS | 0.3327±0.1647<br>0.3361±0.1680 | 0.3483<br>0.0106 | 21<br>19 | 0.0514<br>0.0518 |\n| M=30,µ=0.0345,σ=0.00710 |  |  |  |  |\n| CCBS<br>GCBS | 0.3318±0.1637<br>0.3354±0.1669 | 3.6450<br>0.0132 | 28<br>23 | 0.0331<br>0.0336 |",0]
["| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |\n| --- | --- | --- | --- | --- |\n| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |\n| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |","| UIBO-DUCB | 0.59±0.15 | 0.26±0.08 | 16.12±2.04 | 0.61±0.17 |\n| --- | --- | --- | --- | --- |\n| BO-ES | 0.58±0.10 | 0.32±0.07 | 57.07±2.73 | 1.00 |\n| UBO-ES | 0.64±0.12 | 0.34±0.08 | 67.15±2.56 | 1.00±0.03 |\n| UIBO-ES | 0.38±0.05 | 0.22±0.05 | 62.85±2.06 | 0.99±0.03 |",1]
["| Method | RMSE | WRMSE | DistanceTravelled | RelativeVibration |\n| --- | --- | --- | --- | --- |\n| BO-DUCB | 0.59±0.09 | 0.31±0.05 | 31.25±1.98 | 0.95±0.04 |\n| UBO-DUCB | 0.64±0.12 | 0.34±0.08 | 35.49±1.23 | 0.95±0.04 |","| CCBS<br>GCBS | 0.3327±0.1647<br>0.3361±0.1680 | 0.3483<br>0.0106 | 21<br>19 | 0.0514<br>0.0518 |\n| --- | --- | --- | --- | --- |\n| M=30,µ=0.0345,σ=0.00710 |  |  |  |  |\n| CCBS<br>GCBS | 0.3318±0.1637<br>0.3354±0.1669 | 3.6450<br>0.0132 | 28<br>23 | 0.0331<br>0.0336 |",0]
["| task,t,t12 | Onetaskofmatrixfactorizations |\n| --- | --- |\n| Nproc | Squarerootofthetotalnumberofprocesses |\n| fl | ThelowestCPUfrequencysetbyDVFS |\n| fh | ThehighestCPUfrequencysetbyDVFS |\n| fopt | Optimalidealfrequencytoﬁnishataskwithitsslackeliminated |\n| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |\n| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |\n| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |\n| CritPath | Onetasktracetoﬁnishmatrixfactorizationswithzerototalslack |","| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |\n| --- | --- |\n| CurFreq | CurrentCPUfrequencyinuse |\n| DoneFlag | Indicatoroftheﬁnishofatask |",1]
["| task,t,t12 | Onetaskofmatrixfactorizations |\n| --- | --- |\n| Nproc | Squarerootofthetotalnumberofprocesses |\n| fl | ThelowestCPUfrequencysetbyDVFS |\n| fh | ThehighestCPUfrequencysetbyDVFS |\n| fopt | Optimalidealfrequencytoﬁnishataskwithitsslackeliminated |\n| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |\n| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |\n| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |\n| CritPath | Onetasktracetoﬁnishmatrixfactorizationswithzerototalslack |","| InputData | Value(Min-Max) |\n| --- | --- |\n| Workloadtraceduration(t) | (4-4) |\n| RangeofCPUvaluesforresources | (4-10) |\n| RangeofMemoryvaluesforresources | (2-16) |\n| RangeofNetworkvaluesforresources | (100-1000) |\n| RangeofCPUvaluesforutilization | (2-10) |\n| RangeofMemoryvaluesforutilization | (1-16) |\n| RangeofNetworkvaluesforutilization | (0-1000) |\n| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |\n| RangeofSLAvaluesofVMs | (0-2) |\n| RangeofnumberofVMsforcloudservices | (1-6) |\n| Numberofcloudservices | (1-1) |\n| Probabilitydistribution | Random |",0]
["| task,t,t12 | Onetaskofmatrixfactorizations |\n| --- | --- |\n| Nproc | Squarerootofthetotalnumberofprocesses |","| fl | ThelowestCPUfrequencysetbyDVFS |\n| --- | --- |\n| fh | ThehighestCPUfrequencysetbyDVFS |\n| fopt | Optimalidealfrequencytoﬁnishataskwithitsslackeliminated |\n| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |\n| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |\n| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |\n| CritPath | Onetasktracetoﬁnishmatrixfactorizationswithzerototalslack |\n| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |\n| CurFreq | CurrentCPUfrequencyinuse |\n| DoneFlag | Indicatoroftheﬁnishofatask |",1]
["| task,t,t12 | Onetaskofmatrixfactorizations |\n| --- | --- |\n| Nproc | Squarerootofthetotalnumberofprocesses |","| RangeofNetworkvaluesforresources | (100-1000) |\n| --- | --- |\n| RangeofCPUvaluesforutilization | (2-10) |\n| RangeofMemoryvaluesforutilization | (1-16) |\n| RangeofNetworkvaluesforutilization | (0-1000) |\n| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |\n| RangeofSLAvaluesofVMs | (0-2) |\n| RangeofnumberofVMsforcloudservices | (1-6) |\n| Numberofcloudservices | (1-1) |\n| Probabilitydistribution | Random |",0]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 0.0391 | 0.0455 | 0.0403 |\n| PerformanceModel | 0.0782 | 0.0783 | 0.0626 |\n| AdditiveModel | 0.0402 | 0.0478 | 0.0420 |","| PopularityModel | 0.0400 | 0.0465 | 0.0409 |\n| --- | --- | --- | --- |\n| FullRegression | 0.0527 | 0.0569 | 0.0480 |\n| PerformanceRegression | 0.0782 | 0.0783 | 0.0625 |",1]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 0.0391 | 0.0455 | 0.0403 |\n| PerformanceModel | 0.0782 | 0.0783 | 0.0626 |\n| AdditiveModel | 0.0402 | 0.0478 | 0.0420 |","| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 1.2924 | 2.1673 | 2.2389 |\n| PerformanceModel | 3.0727 | 3.0683 | 2.3864 |\n| AdditiveModel | 1.3194 | 2.1294 | 2.0707 |\n| PopularityModel | 1.3215 | 2.1768 | 2.1428 |\n| FullRegression | 2.1291 | 2.6120 | 2.0933 |\n| PerformanceRegression | 3.0728 | 3.0682 | 2.3858 |",0]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 0.0391 | 0.0455 | 0.0403 |","| PerformanceModel | 0.0782 | 0.0783 | 0.0626 |\n| --- | --- | --- | --- |\n| AdditiveModel | 0.0402 | 0.0478 | 0.0420 |\n| PopularityModel | 0.0400 | 0.0465 | 0.0409 |\n| FullRegression | 0.0527 | 0.0569 | 0.0480 |\n| PerformanceRegression | 0.0782 | 0.0783 | 0.0625 |",1]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 0.0391 | 0.0455 | 0.0403 |","| PerformanceModel | 3.0727 | 3.0683 | 2.3864 |\n| --- | --- | --- | --- |\n| AdditiveModel | 1.3194 | 2.1294 | 2.0707 |\n| PopularityModel | 1.3215 | 2.1768 | 2.1428 |\n| FullRegression | 2.1291 | 2.6120 | 2.0933 |\n| PerformanceRegression | 3.0728 | 3.0682 | 2.3858 |",0]
["|  | Rawpredictions | Correctedpredictions |\n| --- | --- | --- |\n| a | ...OOOIIII... | ...OOBIIII... |","| b | ...OOOBOOO... | ...OOOBIOO... |\n| --- | --- | --- |\n| c | ...OOOBOII... | ...OOOBIII... |\n| d | ...OOOBIIBII... | ...OOOBIIIII... |",1]
["|  | Rawpredictions | Correctedpredictions |\n| --- | --- | --- |\n| a | ...OOOIIII... | ...OOBIIII... |","| name | AB | FDCS | ABCS | FINDER | FMC |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |\n| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |\n| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |\n| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |\n| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",0]
["|  | Rawpredictions | Correctedpredictions |\n| --- | --- | --- |\n| a | ...OOOIIII... | ...OOBIIII... |\n| b | ...OOOBOOO... | ...OOOBIOO... |","| c | ...OOOBOII... | ...OOOBIII... |\n| --- | --- | --- |\n| d | ...OOOBIIBII... | ...OOOBIIIII... |",1]
["|  | Rawpredictions | Correctedpredictions |\n| --- | --- | --- |\n| a | ...OOOIIII... | ...OOBIIII... |\n| b | ...OOOBOOO... | ...OOOBIOO... |","| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",0]
["|  | UnderSegmentation | Accuracy | MCC |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | Mean | SD | Mean | SD | Mean | SD |\n| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |","| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |\n| --- | --- | --- | --- | --- | --- | --- |\n| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |\n| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |",1]
["|  | UnderSegmentation | Accuracy | MCC |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | Mean | SD | Mean | SD | Mean | SD |\n| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |","| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |\n| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["|  | UnderSegmentation | Accuracy | MCC |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | Mean | SD | Mean | SD | Mean | SD |\n| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |\n| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |","| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |",1]
["|  | UnderSegmentation | Accuracy | MCC |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | Mean | SD | Mean | SD | Mean | SD |\n| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |\n| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |","| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Type | Dim | Type | Dim |\n| --- | --- | --- | --- |\n| Centeredmask | 64 | SIFThistogramtop | 100 |\n| Boundingbox | 2 | SIFThistogramright | 100 |","| Super-pixelarea | 1 | SIFThistogramleft | 100 |\n| --- | --- | --- | --- |\n| Absolutemask | 64 | Meancolor | 3 |\n| Topheight | 1 | Colorstandarddeviation | 3 |\n| Textonhistogram | 100 | Colorhistogram | 33 |\n| Dilatedtextonhistogram | 100 | Dilatedcolorhistogram | 33 |\n| SIFThistogram | 100 | Colorthumbnail | 192 |\n| DilatedSIFThistogram | 100 | Maskedcolorthumbnail | 192 |\n| SIFThistogrambottom | 100 | GIST | 320 |",1]
["| Type | Dim | Type | Dim |\n| --- | --- | --- | --- |\n| Centeredmask | 64 | SIFThistogramtop | 100 |\n| Boundingbox | 2 | SIFThistogramright | 100 |","| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |\n| splice | 60 | 3,175 | 3 |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| Type | Dim | Type | Dim |\n| --- | --- | --- | --- |\n| Centeredmask | 64 | SIFThistogramtop | 100 |\n| Boundingbox | 2 | SIFThistogramright | 100 |\n| Super-pixelarea | 1 | SIFThistogramleft | 100 |","| Absolutemask | 64 | Meancolor | 3 |\n| --- | --- | --- | --- |\n| Topheight | 1 | Colorstandarddeviation | 3 |\n| Textonhistogram | 100 | Colorhistogram | 33 |\n| Dilatedtextonhistogram | 100 | Dilatedcolorhistogram | 33 |\n| SIFThistogram | 100 | Colorthumbnail | 192 |\n| DilatedSIFThistogram | 100 | Maskedcolorthumbnail | 192 |\n| SIFThistogrambottom | 100 | GIST | 320 |",1]
["| Type | Dim | Type | Dim |\n| --- | --- | --- | --- |\n| Centeredmask | 64 | SIFThistogramtop | 100 |\n| Boundingbox | 2 | SIFThistogramright | 100 |\n| Super-pixelarea | 1 | SIFThistogramleft | 100 |","| lung | 325 | 73 | 7 |\n| --- | --- | --- | --- |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| Dataset | F1 |  |  |  |\n| --- | --- | --- | --- | --- |\n| All | removedfeatures |  |  |  |\n| (1) | (2) | (3) | (4) | (5) |","| DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - |\n| DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 |  |\n| DFriend | 0.810 | - | 0.798 | 0.802 | 0.800 |  |\n| DColleague | 0.737 | - | 0.730 | 0.726 | 0.727 |  |\n| Dataset | AUC |  |  |  |  |  |\n| All | removedfeatures |  |  |  |  |  |\n| (1) | (2) | (3) | (4) | (5) |  |  |\n| DTwitter | 0.850 | 0.835 | 0.812 | 0.850 | 0.832 | - |\n| DGoogle+ | 0.899 | 0.892 | 0.891 | 0.898 | 0.890 | - |\n| DFamily | 0.879 | - | 0.875 | 0.867 | 0.870 |  |\n| DFriend | 0.844 | - | 0.840 | 0.839 | 0.835 |  |\n| DColleague | 0.752 | - | 0.748 | 0.743 | 0.745 |  |",1]
["| Dataset | F1 |  |  |  |\n| --- | --- | --- | --- | --- |\n| All | removedfeatures |  |  |  |\n| (1) | (2) | (3) | (4) | (5) |","| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Dataset | F1 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| All | removedfeatures |  |  |  |  |  |\n| (1) | (2) | (3) | (4) | (5) |  |  |\n| DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - |\n| DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - |\n| DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 |  |\n| DFriend | 0.810 | - | 0.798 | 0.802 | 0.800 |  |\n| DColleague | 0.737 | - | 0.730 | 0.726 | 0.727 |  |\n| Dataset | AUC |  |  |  |  |  |\n| All | removedfeatures |  |  |  |  |  |\n| (1) | (2) | (3) | (4) | (5) |  |  |","| DTwitter | 0.850 | 0.835 | 0.812 | 0.850 | 0.832 | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| DGoogle+ | 0.899 | 0.892 | 0.891 | 0.898 | 0.890 | - |\n| DFamily | 0.879 | - | 0.875 | 0.867 | 0.870 |  |\n| DFriend | 0.844 | - | 0.840 | 0.839 | 0.835 |  |\n| DColleague | 0.752 | - | 0.748 | 0.743 | 0.745 |  |",1]
["| Dataset | F1 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| All | removedfeatures |  |  |  |  |  |\n| (1) | (2) | (3) | (4) | (5) |  |  |\n| DTwitter | 0.796 | 0.784 | 0.751 | 0.796 | 0.767 | - |\n| DGoogle+ | 0.898 | 0.889 | 0.887 | 0.898 | 0.889 | - |\n| DFamily | 0.845 | - | 0.840 | 0.833 | 0.833 |  |\n| DFriend | 0.810 | - | 0.798 | 0.802 | 0.800 |  |\n| DColleague | 0.737 | - | 0.730 | 0.726 | 0.727 |  |\n| Dataset | AUC |  |  |  |  |  |\n| All | removedfeatures |  |  |  |  |  |\n| (1) | (2) | (3) | (4) | (5) |  |  |","| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| No.ofbuses | 14-bus | 57-bus | 118-bus |\n| --- | --- | --- | --- |\n| No.oflines | 20 | 80 | 186 |\n| Totalno.ofmeasurements | 20 | 80 | 180 |","| No.ofinjectmeasurements | 8 | 30 | 70 |\n| --- | --- | --- | --- |\n| No.ofﬂowmeasurements | 12 | 50 | 110 |\n| No.ofunmeasuredlines | 1 | 2 | 7 |",1]
["| No.ofbuses | 14-bus | 57-bus | 118-bus |\n| --- | --- | --- | --- |\n| No.oflines | 20 | 80 | 186 |\n| Totalno.ofmeasurements | 20 | 80 | 180 |","| NumberofVertices |\n| --- |\n| 5M |\n| 41M |\n| 34M |\n| 134M |\n| 101M |\n| 0.5M |\n| 1M |\n| 2M |",0]
["| No.ofbuses | 14-bus | 57-bus | 118-bus |\n| --- | --- | --- | --- |\n| No.oflines | 20 | 80 | 186 |\n| Totalno.ofmeasurements | 20 | 80 | 180 |\n| No.ofinjectmeasurements | 8 | 30 | 70 |","| No.ofﬂowmeasurements | 12 | 50 | 110 |\n| --- | --- | --- | --- |\n| No.ofunmeasuredlines | 1 | 2 | 7 |",1]
["| No.ofbuses | 14-bus | 57-bus | 118-bus |\n| --- | --- | --- | --- |\n| No.oflines | 20 | 80 | 186 |\n| Totalno.ofmeasurements | 20 | 80 | 180 |\n| No.ofinjectmeasurements | 8 | 30 | 70 |","| 34M |\n| --- |\n| 134M |\n| 101M |\n| 0.5M |\n| 1M |\n| 2M |",0]
["| Conﬁguration | Queryﬁltering | Expansion |\n| --- | --- | --- |\n| Conf(baseline)1 | Original(q) | - |\n| Conf2 | Filtered(q)f | - |","| Conf3 | Filtered(q)f | NonPersonalized |\n| --- | --- | --- |\n| Conf4 | Filtered(q)f | Personalized |\n| Conf5 | Original(q) | NonPersonalized |\n| Conf6 | Original(q) | Personalized |",1]
["| Conﬁguration | Queryﬁltering | Expansion |\n| --- | --- | --- |\n| Conf(baseline)1 | Original(q) | - |\n| Conf2 | Filtered(q)f | - |","| Query | Algebraoperators |\n| --- | --- |\n| Cooking,Q2 | ,,,FILTERAPPLY+INNERDJOINREDUCE |\n| Grouping | ,,APPLY+INNERDJOINREDUCE |\n| Q1,Q4,Q5 | ,REBOXREDUCE |\n| Q3 | APPLY+ |\n| Q6 | ,,REBOXAPPLY+FILTER |\n| Q7 | REBOX |\n| Q8,Q9 | ,REBOXSHIFT |",0]
["| Conﬁguration | Queryﬁltering | Expansion |\n| --- | --- | --- |\n| Conf(baseline)1 | Original(q) | - |\n| Conf2 | Filtered(q)f | - |\n| Conf3 | Filtered(q)f | NonPersonalized |","| Conf4 | Filtered(q)f | Personalized |\n| --- | --- | --- |\n| Conf5 | Original(q) | NonPersonalized |\n| Conf6 | Original(q) | Personalized |",1]
["| Conﬁguration | Queryﬁltering | Expansion |\n| --- | --- | --- |\n| Conf(baseline)1 | Original(q) | - |\n| Conf2 | Filtered(q)f | - |\n| Conf3 | Filtered(q)f | NonPersonalized |","| Q3 | APPLY+ |\n| --- | --- |\n| Q6 | ,,REBOXAPPLY+FILTER |\n| Q7 | REBOX |\n| Q8,Q9 | ,REBOXSHIFT |",0]
["| MedLine | Prec | Rec | F-score | Lx | errorTest |\n| --- | --- | --- | --- | --- | --- |\n| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |\n| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |\n| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |","| DrugBank | Prec | Rec | F-score | Lx | errorTest |\n| --- | --- | --- | --- | --- | --- |\n| (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |\n| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |\n| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 |",1]
["| MedLine | Prec | Rec | F-score | Lx | errorTest |\n| --- | --- | --- | --- | --- | --- |\n| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |\n| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |\n| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |","| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |\n| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |\n| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |\n| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |\n| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |\n| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |\n| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |\n| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",0]
["| MedLine | Prec | Rec | F-score | Lx | errorTest |\n| --- | --- | --- | --- | --- | --- |\n| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |\n| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |\n| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |\n| DrugBank | Prec | Rec | F-score | Lx | errorTest |","| (1) | 0.6312 | 0.5372 | 0.5805 | L0 | 0.07900 |\n| --- | --- | --- | --- | --- | --- |\n| (2) | 0.6438 | 0.6398 | 0.6417 | L0,L2 | 0.0802 |\n| (3) | 0.6305 | 0.5380 | 0.5806 | L0 | 0.0776 |",1]
["| MedLine | Prec | Rec | F-score | Lx | errorTest |\n| --- | --- | --- | --- | --- | --- |\n| (1) | 0.3564 | 0.5450 | 0.4310 | L0 | 0.0305 |\n| (2) | 0.3806 | 0.5023 | 0.4331 | L1,L2 | 0.0432 |\n| (3) | 0.3773 | 0.5266 | 0.4395 | L2 | 0.0418 |\n| DrugBank | Prec | Rec | F-score | Lx | errorTest |","| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| --- | --- | --- | --- | --- | --- |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |\n| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",0]
["| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TAD |  |  |  |  |  |  |  |  |  |\n| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 |","| TAK |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 6<br>9<br>13<br>10<br>6<br>2<br>2<br>2<br>2<br>2<br>2<br>1 | 12<br>17<br>31<br>17<br>11<br>9<br>4<br>2<br>2<br>2<br>2<br>2 | 17<br>25<br>42<br>25<br>14<br>11<br>8<br>6<br>3<br>2<br>2<br>2 | 26<br>34<br>50<br>33<br>21<br>13<br>11<br>8<br>5<br>3<br>2<br>2 | 32<br>34<br>56<br>39<br>31<br>18<br>13<br>10<br>6<br>5<br>2<br>2 | 37<br>43<br>69<br>45<br>36<br>22<br>18<br>14<br>9<br>5<br>2<br>2 | 171<br>217<br>330<br>179<br>128<br>99<br>79<br>62<br>48<br>35<br>29<br>13 | 103<br>139<br>203<br>102<br>73<br>53<br>39<br>37<br>29<br>21<br>23<br>11 | 45.07<br>54.10<br>85.60<br>52.73<br>38.13<br>28.73<br>21.73<br>16.20<br>11.63<br>8.00<br>5.17<br>2.70 |",1]
["| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TAD |  |  |  |  |  |  |  |  |  |\n| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 |","| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TAD |  |  |  |  |  |  |  |  |  |\n| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 |","| TAK |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 6<br>9<br>13<br>10<br>6<br>2<br>2<br>2<br>2<br>2<br>2<br>1 | 12<br>17<br>31<br>17<br>11<br>9<br>4<br>2<br>2<br>2<br>2<br>2 | 17<br>25<br>42<br>25<br>14<br>11<br>8<br>6<br>3<br>2<br>2<br>2 | 26<br>34<br>50<br>33<br>21<br>13<br>11<br>8<br>5<br>3<br>2<br>2 | 32<br>34<br>56<br>39<br>31<br>18<br>13<br>10<br>6<br>5<br>2<br>2 | 37<br>43<br>69<br>45<br>36<br>22<br>18<br>14<br>9<br>5<br>2<br>2 | 171<br>217<br>330<br>179<br>128<br>99<br>79<br>62<br>48<br>35<br>29<br>13 | 103<br>139<br>203<br>102<br>73<br>53<br>39<br>37<br>29<br>21<br>23<br>11 | 45.07<br>54.10<br>85.60<br>52.73<br>38.13<br>28.73<br>21.73<br>16.20<br>11.63<br>8.00<br>5.17<br>2.70 |",1]
["| +Commonattributes | =30 | ≥27 | ≥24 | ≥21 | ≥18 | ≥15 | ≥1 | ≤5 | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TAD |  |  |  |  |  |  |  |  |  |\n| B1K<br>B10K<br>Bagging0.1<br>Bagging0.2<br>Bagging0.3<br>Bagging0.4<br>Bagging0.5<br>Bagging0.6<br>Bagging0.7<br>Bagging0.8<br>Bagging0.9<br>Bagging1 | 2<br>9<br>16<br>11<br>6<br>3<br>2<br>1<br>1<br>1<br>1<br>1 | 10<br>14<br>24<br>16<br>12<br>9<br>7<br>5<br>3<br>1<br>1<br>1 | 14<br>18<br>33<br>22<br>16<br>12<br>8<br>7<br>5<br>3<br>1<br>1 | 18<br>25<br>40<br>26<br>20<br>16<br>11<br>8<br>7<br>4<br>3<br>1 | 23<br>28<br>51<br>28<br>22<br>18<br>16<br>11<br>8<br>5<br>4<br>1 | 23<br>36<br>66<br>37<br>26<br>21<br>17<br>14<br>12<br>7<br>4<br>1 | 246<br>325<br>430<br>241<br>167<br>125<br>86<br>65<br>51<br>38<br>30<br>14 | 188<br>236<br>269<br>162<br>114<br>86<br>56<br>45<br>33<br>23<br>19<br>11 | 41.77<br>60.67<br>98.27<br>54.10<br>36.77<br>27.47<br>20.70<br>16.43<br>12.87<br>9.37<br>6.17<br>3.05 |","| 1001 | 10.2M | 4.62 |\n| --- | --- | --- |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| Method | 750 | 3000 | 12000 | 50000 | 200000 |\n| --- | --- | --- | --- | --- | --- |\n| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |\n| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |","| (d,d)2∞ |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |\n| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| timing(sec) |  |  |  |  |  |",1]
["| Method | 750 | 3000 | 12000 | 50000 | 200000 |\n| --- | --- | --- | --- | --- | --- |\n| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |\n| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |","| Method | 800 | 2500 | 10000 | 40000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.7436,2.1873) | (0.3404,1.1705) | (0.1457,0.4359) | (0.0686,0.2651) |\n| HF | (∞,∞) | (0.4247,4.0458) | (0.1545,1.3129) | (0.0716,2.0045) |\n| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.236 | 1.27 | 5.84 | 42.3 |\n| HF | 0.966 | 2.24 | 8.52 | 37.4 |\n| BD | 38.0 | 116 | 475 | 1941 |\n| timing(sec) |  |  |  |  |",0]
["| Method | 750 | 3000 | 12000 | 50000 | 200000 |\n| --- | --- | --- | --- | --- | --- |\n| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |","| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |\n| --- | --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |  |\n| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |\n| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| timing(sec) |  |  |  |  |  |",1]
["| Method | 750 | 3000 | 12000 | 50000 | 200000 |\n| --- | --- | --- | --- | --- | --- |\n| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |","| BD | (1.1520,6.5863) | (0.7330,4.9571) | (0.3930,3.9686) | (0.2873,5.2264) |\n| --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.236 | 1.27 | 5.84 | 42.3 |\n| HF | 0.966 | 2.24 | 8.52 | 37.4 |\n| BD | 38.0 | 116 | 475 | 1941 |\n| timing(sec) |  |  |  |  |",0]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |","| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 |",1]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |","| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.6139 | 0.9227 | 0.6149 | 0.3240 | 0.9988 | 0.2692 | 0.4009 |\n| DMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| BestDMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| PMSSumMinD | 0.7718 | 0.8910 | 0.7769 | 0.2993 | 0.9986 | 0.2750 | 0.4340 |\n| DMESumMinD | 0.5788 | 0.8899 | 0.6659 | 0.2409 | 0.9983 | 0.2050 | 0.3161 |\n| BestDMESumMinD | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| PMSSumMin500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |\n| PMSSumMinD500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |\n| DMESumMin500 | 0.0877 | 0.9440 | 0.0833 | 0.0877 | 1.0000 | 0.0459 | 0.0327 |",0]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |","| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 |",1]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |","| PMSSumMinD500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DMESumMin500 | 0.0877 | 0.9440 | 0.0833 | 0.0877 | 1.0000 | 0.0459 | 0.0327 |",0]
["|  | lr=.002,gc=1 | lr=.002 | lr=.0002,gc=1 | lr=.0002 |\n| --- | --- | --- | --- | --- |\n| tanh,β=0 | 1.71 | 1.55 | 2.15 | 2.15 |","| tanh,β=500 | 1.57 | 2.70 | 1.79 | 1.80 |\n| --- | --- | --- | --- | --- |\n| ReLU,β=0 | 1.78 | 1.69 | 1.93 | 1.93 |\n| ReLU,β=500 | 1.74 | 1.73 | 1.65 | 2.04 |\n| TRec,β=0 | 1.62 | 1.63 | 1.95 | 1.88 |\n| TRec,β=500 | 1.48 | 1.49 | 1.56 | 1.56 |",1]
["|  | lr=.002,gc=1 | lr=.002 | lr=.0002,gc=1 | lr=.0002 |\n| --- | --- | --- | --- | --- |\n| tanh,β=0 | 1.71 | 1.55 | 2.15 | 2.15 |","| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |\n| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["|  | lr=.002,gc=1 | lr=.002 | lr=.0002,gc=1 | lr=.0002 |\n| --- | --- | --- | --- | --- |\n| tanh,β=0 | 1.71 | 1.55 | 2.15 | 2.15 |\n| tanh,β=500 | 1.57 | 2.70 | 1.79 | 1.80 |","| ReLU,β=0 | 1.78 | 1.69 | 1.93 | 1.93 |\n| --- | --- | --- | --- | --- |\n| ReLU,β=500 | 1.74 | 1.73 | 1.65 | 2.04 |\n| TRec,β=0 | 1.62 | 1.63 | 1.95 | 1.88 |\n| TRec,β=500 | 1.48 | 1.49 | 1.56 | 1.56 |",1]
["|  | lr=.002,gc=1 | lr=.002 | lr=.0002,gc=1 | lr=.0002 |\n| --- | --- | --- | --- | --- |\n| tanh,β=0 | 1.71 | 1.55 | 2.15 | 2.15 |\n| tanh,β=500 | 1.57 | 2.70 | 1.79 | 1.80 |","| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |\n| --- | --- | --- | --- | --- |\n| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["| lang | uniquetokens | tokens |\n| --- | --- | --- |\n| en | 4.238 | 902.044 |\n| de | 4.233 | 312.380 |\n| fr | 1.749 | 247.492 |","| ru | 1.766 | 202.163 |\n| --- | --- | --- |\n| it | 1.411 | 178.378 |\n| nl | 2.021 | 105.224 |\n| pt | 0.873 | 96.712 |\n| sv | 1.730 | 82.376 |\n| es | 0.829 | 76.587 |\n| ar | 1.653 | 46.481 |\n| fa | 0.925 | 32.557 |",1]
["| lang | uniquetokens | tokens |\n| --- | --- | --- |\n| en | 4.238 | 902.044 |\n| de | 4.233 | 312.380 |\n| fr | 1.749 | 247.492 |","| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |\n| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| lang | uniquetokens | tokens |\n| --- | --- | --- |\n| en | 4.238 | 902.044 |\n| de | 4.233 | 312.380 |\n| fr | 1.749 | 247.492 |\n| ru | 1.766 | 202.163 |\n| it | 1.411 | 178.378 |\n| nl | 2.021 | 105.224 |\n| pt | 0.873 | 96.712 |\n| sv | 1.730 | 82.376 |","| es | 0.829 | 76.587 |\n| --- | --- | --- |\n| ar | 1.653 | 46.481 |\n| fa | 0.925 | 32.557 |",1]
["| lang | uniquetokens | tokens |\n| --- | --- | --- |\n| en | 4.238 | 902.044 |\n| de | 4.233 | 312.380 |\n| fr | 1.749 | 247.492 |\n| ru | 1.766 | 202.163 |\n| it | 1.411 | 178.378 |\n| nl | 2.021 | 105.224 |\n| pt | 0.873 | 96.712 |\n| sv | 1.730 | 82.376 |","| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| Lossname | L(x,y) |\n| --- | --- |\n| Logistic | −yx<br>log(1+e) |\n| Squared | (x−y) |","| SquaredHinge | L=(max(1−yx,0)) |\n| --- | --- |\n| Hinge | max(1−yx,0) |\n| Huber | (max(1−yx,0))ifyx≥−1;−2yxotherwise |",1]
["| Lossname | L(x,y) |\n| --- | --- |\n| Logistic | −yx<br>log(1+e) |\n| Squared | (x−y) |","| lossfunctionused | testerrorrate |\n| --- | --- |\n| L | 6.78 |\n| (Grad-CAM++)L | 6.74 |\n| L(Grad-CAM) | 6.86 |\n| L+L | 5.68 |\n| L(Grad-CAM++)+L | 5.56 |\n| L(Grad-CAM)+L | 5.8 |",0]
["| Lossname | L(x,y) |\n| --- | --- |\n| Logistic | −yx<br>log(1+e) |\n| Squared | (x−y) |","| SquaredHinge | L=(max(1−yx,0)) |\n| --- | --- |\n| Hinge | max(1−yx,0) |\n| Huber | (max(1−yx,0))ifyx≥−1;−2yxotherwise |",1]
["| Lossname | L(x,y) |\n| --- | --- |\n| Logistic | −yx<br>log(1+e) |\n| Squared | (x−y) |","| (Grad-CAM++)L | 6.74 |\n| --- | --- |\n| L(Grad-CAM) | 6.86 |\n| L+L | 5.68 |\n| L(Grad-CAM++)+L | 5.56 |\n| L(Grad-CAM)+L | 5.8 |",0]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=93.00,corrects=19.00)<br>rappel=0.112precision=0.204f-mesure=0.145 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=84.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=148.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.088 |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |","| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| --- |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=101.00,corrects=10.00)<br>rappel=0.050precision=0.099f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=459.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=93.00,corrects=19.00)<br>rappel=0.112precision=0.204f-mesure=0.145 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=84.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=148.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.088 |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |","| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=149.00,corrects=14.00)<br>rappel=0.083precision=0.094f-mesure=0.088 |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=24.00)<br>rappel=0.118precision=0.075f-mesure=0.092 |\n| -classe1910(attendus=201,ramenes=86.00,corrects=4.00)<br>rappel=0.020precision=0.047f-mesure=0.028 |\n| -classe1920(attendus=200,ramenes=169.00,corrects=13.00)<br>rappel=0.065precision=0.077f-mesure=0.070 |\n| -classe1930(attendus=200,ramenes=104.00,corrects=10.00)<br>rappel=0.050precision=0.096f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.094 |",0]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=93.00,corrects=19.00)<br>rappel=0.112precision=0.204f-mesure=0.145 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=84.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |","| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| --- |\n| -classe1880(attendus=169,ramenes=148.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.088 |\n| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=101.00,corrects=10.00)<br>rappel=0.050precision=0.099f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=459.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=93.00,corrects=19.00)<br>rappel=0.112precision=0.204f-mesure=0.145 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=84.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |","| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |\n| --- |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.094 |",0]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 209(134-75) | 585.19s |","| SIZE-Glucose | 230(131-99) | 533.86s |\n| --- | --- | --- |\n| CVSIDS-Glucose | 240(140-100) | 622.23s |\n| LBD-Glucose | 236(136-100) | 481.66s |\n| DegComp-Glucose | 248(146-102) | 571.31s |",1]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 209(134-75) | 585.19s |","| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 138(65-73) | 1194.85s |\n| SIZE-Glucose | 156(67-89) | 1396.73s |\n| CVSIDS-Glucose | 165(67-98) | 1368.99s |\n| LBD-Glucose | 165(68-97) | 1142.33s |\n| DegComp-Glucose | 164(69-95) | 1456.34s |",0]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 209(134-75) | 585.19s |\n| SIZE-Glucose | 230(131-99) | 533.86s |","| CVSIDS-Glucose | 240(140-100) | 622.23s |\n| --- | --- | --- |\n| LBD-Glucose | 236(136-100) | 481.66s |\n| DegComp-Glucose | 248(146-102) | 571.31s |",1]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 209(134-75) | 585.19s |\n| SIZE-Glucose | 230(131-99) | 533.86s |","| CVSIDS-Glucose | 165(67-98) | 1368.99s |\n| --- | --- | --- |\n| LBD-Glucose | 165(68-97) | 1142.33s |\n| DegComp-Glucose | 164(69-95) | 1456.34s |",0]
["|  | Utility(weightedreplicateddata) |  |\n| --- | --- | --- |\n| day | average | standarddeviation |\n| 1 | 34487 | 6086 |","| 2 | 60489 | 8141 |\n| --- | --- | --- |\n| 3 | 69658 | 5496 |",1]
["|  | Utility(weightedreplicateddata) |  |\n| --- | --- | --- |\n| day | average | standarddeviation |\n| 1 | 34487 | 6086 |","|  | Kosarak | Retail | Q148 | Webdocs |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 299887139 |\n| Distinctitems | 41270 | 16470 | 11824 | 5267656 |\n| Min | 1 | 0 | 0 | 1 |\n| Max | 41270 | 16469 | 149464496 | 5267656 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 122715 |\n| Median | 640 | 1564 | 63 | 1988 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.1 |",0]
["|  | Utility(weightedreplicateddata) |  |\n| --- | --- | --- |\n| day | average | standarddeviation |\n| 1 | 34487 | 6086 |","| 2 | 60489 | 8141 |\n| --- | --- | --- |\n| 3 | 69658 | 5496 |",1]
["|  | Utility(weightedreplicateddata) |  |\n| --- | --- | --- |\n| day | average | standarddeviation |\n| 1 | 34487 | 6086 |","| Distinctitems | 41270 | 16470 | 11824 | 5267656 |\n| --- | --- | --- | --- | --- |\n| Min | 1 | 0 | 0 | 1 |\n| Max | 41270 | 16469 | 149464496 | 5267656 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 122715 |\n| Median | 640 | 1564 | 63 | 1988 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.1 |",0]
["| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |","| Cancer | 699 | 10 |\n| --- | --- | --- |\n| Qsar | 1055 | 41 |\n| Sonar | 208 | 60 |\n| Theorem | 3060 | 51 |\n| Diabetes | 768 | 8 |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",1]
["| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |","| Dataset | #Instances | #Features |\n| --- | --- | --- |\n| Synthetic | 500 | 10 |\n| CAPTCHA | 1886 | 26 |\n| Phishing | 11055 | 46 |\n| Digits08 | 1499 | 16 |\n| Digits17 | 1557 | 16 |",0]
["| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |\n| Cancer | 699 | 10 |","| Qsar | 1055 | 41 |\n| --- | --- | --- |\n| Sonar | 208 | 60 |\n| Theorem | 3060 | 51 |\n| Diabetes | 768 | 8 |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",1]
["| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |\n| Cancer | 699 | 10 |","| Digits08 | 1499 | 16 |\n| --- | --- | --- |\n| Digits17 | 1557 | 16 |",0]
["| Figure | dddUoab | LaplaceEntropyUCIQE |\n| --- | --- | --- |\n| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.790.043.60<br>0.510.250.53<br>0.840.033.76<br>0.580.110.97<br>0.790.043.95<br>0.630.131.02<br>0.350.150.47<br>0.360.140.51<br>0.220.20.25 | 3.116.930.42<br>2.036.540.45<br>2.126.470.36<br>8.217.220.49<br>2.726.910.45<br>3.937.510.57<br>16.507.230.49<br>23.107.240.51<br>17.967.150.50 |\n| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.850.025.56<br>0.750.240.56<br>0.860.019.8<br>0.770.130.94<br>0.850.043.09<br>0.710.210.54<br>0.330.250.24<br>0.280.260.2<br>0.270.270.19 | 1.164.830.29<br>1.484.590.36<br>0.994.170.27<br>3.145.950.38<br>1.605.300.34<br>3.016.130.46<br>14.046.870.52<br>15.426.990.54<br>15.726.940.53 |","| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.740.044.28<br>0.530.132.65<br>0.830.052.64<br>0.490.170.59<br>0.720.053.45<br>0.530.120.92<br>0.350.230.36<br>0.280.190.34<br>0.30.270.25 | 6.226.490.42<br>3.265.280.49<br>4.286.130.36<br>19.707.010.53<br>6.276.430.42<br>10.657.030.55<br>24.767.090.56<br>25.127.130.57<br>28.807.060.57 |\n| --- | --- | --- |\n| Original<br>GW<br>PB<br>CLAHE<br>eDM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.660.052.81<br>0.510.161.28<br>0.730.062.51<br>0.480.140.69<br>0.640.072.32<br>0.510.120.93<br>0.250.180.32<br>0.260.190.30<br>0.190.210.20 | 4.776.460.44<br>3.526.030.46<br>3.676.110.40<br>12.287.110.52<br>4.696.440.46<br>7.107.110.56<br>20.517.180.53<br>23.857.260.55<br>22.957.190.54 |",1]
["| Figure | dddUoab | LaplaceEntropyUCIQE |\n| --- | --- | --- |\n| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.790.043.60<br>0.510.250.53<br>0.840.033.76<br>0.580.110.97<br>0.790.043.95<br>0.630.131.02<br>0.350.150.47<br>0.360.140.51<br>0.220.20.25 | 3.116.930.42<br>2.036.540.45<br>2.126.470.36<br>8.217.220.49<br>2.726.910.45<br>3.937.510.57<br>16.507.230.49<br>23.107.240.51<br>17.967.150.50 |\n| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.850.025.56<br>0.750.240.56<br>0.860.019.8<br>0.770.130.94<br>0.850.043.09<br>0.710.210.54<br>0.330.250.24<br>0.280.260.2<br>0.270.270.19 | 1.164.830.29<br>1.484.590.36<br>0.994.170.27<br>3.145.950.38<br>1.605.300.34<br>3.016.130.46<br>14.046.870.52<br>15.426.990.54<br>15.726.940.53 |","| IC-LKESM | hp | hpdct-25hpdct-49 | dct-25dct-49 | jd |  |\n| --- | --- | --- | --- | --- | --- |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.24330.1946<br>0.25190.2151<br>0.44590.4185<br>0.32490.2898<br>0.37840.2676 | 0.3164<br>0.3748<br>0.5871<br>0.4090<br>0.3073 | 0.31420.2433<br>0.37310.3748<br>0.63430.5871<br>0.43650.4090<br>0.31850.3073 | 0.14090.1677<br>0.23750.2747<br>0.33230.3411<br>0.27400.2857<br>0.21120.2263 | 0.1677<br>0.2747<br>0.3411<br>0.2857<br>0.2263 |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.22890.2178<br>0.17510.1590<br>0.17130.1612<br>0.30130.2723<br>0.25460.2524 | 0.2809<br>0.2324<br>0.2670<br>0.3575<br>0.2882 | 0.29800.2809<br>0.24680.2324<br>0.29080.2670<br>0.37800.3575<br>0.31770.2882 | 0.20660.2067<br>16040.1731<br>0.15840.1654<br>0.26120.2523<br>0.20740.2168 | 0.2067<br>0.1731<br>0.1654<br>0.2523<br>0.2168 |\n| 1,2<br>2,3<br>3,4<br>4,5 | 0.29450.2817<br>0.32790.3105<br>0.32690.3144<br>0.35000.3400 | 0.4951<br>0.5394<br>0.5716<br>0.6497 | 0.50140.4951<br>0.54990.5394<br>0.58460.5716<br>0.67230.6497 | 0.22040.2457<br>0.20400.2097<br>0.44440.4741<br>0.35420.3899 | 0.2457<br>0.2097<br>0.4741<br>0.3899 |\n| 1,2<br>2,3<br>4,5<br>5,6 | 6.31631.3642<br>1.73020.7730<br>1.750.9822<br>1.110.7538 | 0.4547<br>0.3936<br>0.6739<br>0.7124 | 0.49200.4547<br>0.39830.3936<br>0.73120.6739<br>0.69520.7124 | 0.40720.4930<br>0.37010.4959<br>1.01351.0944<br>0.85120.8067 | 0.4930<br>0.4959<br>1.0944<br>0.8067 |\n| 1,2 | 0.34770.3117 | 0.4117 | 0.43180.4318 | 0.39990.4063 | 0.4063 |",0]
["| Figure | dddUoab | LaplaceEntropyUCIQE |\n| --- | --- | --- |\n| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.790.043.60<br>0.510.250.53<br>0.840.033.76<br>0.580.110.97<br>0.790.043.95<br>0.630.131.02<br>0.350.150.47<br>0.360.140.51<br>0.220.20.25 | 3.116.930.42<br>2.036.540.45<br>2.126.470.36<br>8.217.220.49<br>2.726.910.45<br>3.937.510.57<br>16.507.230.49<br>23.107.240.51<br>17.967.150.50 |","| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.850.025.56<br>0.750.240.56<br>0.860.019.8<br>0.770.130.94<br>0.850.043.09<br>0.710.210.54<br>0.330.250.24<br>0.280.260.2<br>0.270.270.19 | 1.164.830.29<br>1.484.590.36<br>0.994.170.27<br>3.145.950.38<br>1.605.300.34<br>3.016.130.46<br>14.046.870.52<br>15.426.990.54<br>15.726.940.53 |\n| --- | --- | --- |\n| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.740.044.28<br>0.530.132.65<br>0.830.052.64<br>0.490.170.59<br>0.720.053.45<br>0.530.120.92<br>0.350.230.36<br>0.280.190.34<br>0.30.270.25 | 6.226.490.42<br>3.265.280.49<br>4.286.130.36<br>19.707.010.53<br>6.276.430.42<br>10.657.030.55<br>24.767.090.56<br>25.127.130.57<br>28.807.060.57 |\n| Original<br>GW<br>PB<br>CLAHE<br>eDM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.660.052.81<br>0.510.161.28<br>0.730.062.51<br>0.480.140.69<br>0.640.072.32<br>0.510.120.93<br>0.250.180.32<br>0.260.190.30<br>0.190.210.20 | 4.776.460.44<br>3.526.030.46<br>3.676.110.40<br>12.287.110.52<br>4.696.440.46<br>7.107.110.56<br>20.517.180.53<br>23.857.260.55<br>22.957.190.54 |",1]
["| Figure | dddUoab | LaplaceEntropyUCIQE |\n| --- | --- | --- |\n| Original<br>GW<br>PB<br>CLAHE<br>DM<br>RBLA<br>pix2pix<br>FRS<br>GAN-RS | 0.790.043.60<br>0.510.250.53<br>0.840.033.76<br>0.580.110.97<br>0.790.043.95<br>0.630.131.02<br>0.350.150.47<br>0.360.140.51<br>0.220.20.25 | 3.116.930.42<br>2.036.540.45<br>2.126.470.36<br>8.217.220.49<br>2.726.910.45<br>3.937.510.57<br>16.507.230.49<br>23.107.240.51<br>17.967.150.50 |","| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.22890.2178<br>0.17510.1590<br>0.17130.1612<br>0.30130.2723<br>0.25460.2524 | 0.2809<br>0.2324<br>0.2670<br>0.3575<br>0.2882 | 0.29800.2809<br>0.24680.2324<br>0.29080.2670<br>0.37800.3575<br>0.31770.2882 | 0.20660.2067<br>16040.1731<br>0.15840.1654<br>0.26120.2523<br>0.20740.2168 | 0.2067<br>0.1731<br>0.1654<br>0.2523<br>0.2168 |\n| --- | --- | --- | --- | --- | --- |\n| 1,2<br>2,3<br>3,4<br>4,5 | 0.29450.2817<br>0.32790.3105<br>0.32690.3144<br>0.35000.3400 | 0.4951<br>0.5394<br>0.5716<br>0.6497 | 0.50140.4951<br>0.54990.5394<br>0.58460.5716<br>0.67230.6497 | 0.22040.2457<br>0.20400.2097<br>0.44440.4741<br>0.35420.3899 | 0.2457<br>0.2097<br>0.4741<br>0.3899 |\n| 1,2<br>2,3<br>4,5<br>5,6 | 6.31631.3642<br>1.73020.7730<br>1.750.9822<br>1.110.7538 | 0.4547<br>0.3936<br>0.6739<br>0.7124 | 0.49200.4547<br>0.39830.3936<br>0.73120.6739<br>0.69520.7124 | 0.40720.4930<br>0.37010.4959<br>1.01351.0944<br>0.85120.8067 | 0.4930<br>0.4959<br>1.0944<br>0.8067 |\n| 1,2 | 0.34770.3117 | 0.4117 | 0.43180.4318 | 0.39990.4063 | 0.4063 |",0]
["| Query | SingleQuery | MultipleQuery |  |  |\n| --- | --- | --- | --- | --- |\n| Evaluationmodels | Rank-1 | mAP | Rank-1 | mAP |\n| KISSME | 40.5 | 19 | - | - |\n| BoW | 34.4 | 14.1 | - | - |\n| XQDA | 43.8 | 22.2 | 54.1 | 28.4 |\n| WARCA | 45.2 | - | - | - |\n| S-LSTM | - | - | 61.6 | 35.3 |","| DeepHistogramLoss | 59.5 | - | - | - |\n| --- | --- | --- | --- | --- |\n| Gated-SCNN | 65.9 | 39.6 | 76 | 48.5 |\n| DNS | 61 | 35.7 | 71.6 | 46 |\n| IDE(R) | 77.1 | 63.6 | - | - |\n| SSM(Fusion) | 82.2 | 68.8 | 88.2 | 76.2 |\n| CRAFT-MFA | 68.7 | 42.3 | 77.0 | 50.3 |\n| CRAFT-MFA(+LOMO) | 71.8 | 45.5 | 79.7 | 54.3 |\n| JSTLDGD | 81.6 | 56.6 | 83.1 | 68.1 |\n| JSTLDGD+ICV-ECCL | 88.4 | 69.5 | 90.6 | 77.3 |",1]
["| Query | SingleQuery | MultipleQuery |  |  |\n| --- | --- | --- | --- | --- |\n| Evaluationmodels | Rank-1 | mAP | Rank-1 | mAP |\n| KISSME | 40.5 | 19 | - | - |\n| BoW | 34.4 | 14.1 | - | - |\n| XQDA | 43.8 | 22.2 | 54.1 | 28.4 |\n| WARCA | 45.2 | - | - | - |\n| S-LSTM | - | - | 61.6 | 35.3 |","|  | Singlequery | Multi-query |\n| --- | --- | --- |\n|  | R1mAP | R1mAP |\n| XQDA<br>SCSP<br>DNS<br>SiameseLSTM | 43.822.2<br>51.926.3<br>61.035.6<br>-- | 54.128.4<br>--<br>71.546.0<br>61.635.3 |\n| GatedS-CNN<br>CAN | 65.839.5<br>48.224.4 | 76.048.4<br>-- |\n| Ours | 83.765.5 | 89.673.8 |",0]
["| Query | SingleQuery | MultipleQuery |  |  |\n| --- | --- | --- | --- | --- |\n| Evaluationmodels | Rank-1 | mAP | Rank-1 | mAP |\n| KISSME | 40.5 | 19 | - | - |\n| BoW | 34.4 | 14.1 | - | - |","| XQDA | 43.8 | 22.2 | 54.1 | 28.4 |\n| --- | --- | --- | --- | --- |\n| WARCA | 45.2 | - | - | - |\n| S-LSTM | - | - | 61.6 | 35.3 |\n| DeepHistogramLoss | 59.5 | - | - | - |\n| Gated-SCNN | 65.9 | 39.6 | 76 | 48.5 |\n| DNS | 61 | 35.7 | 71.6 | 46 |\n| IDE(R) | 77.1 | 63.6 | - | - |\n| SSM(Fusion) | 82.2 | 68.8 | 88.2 | 76.2 |\n| CRAFT-MFA | 68.7 | 42.3 | 77.0 | 50.3 |\n| CRAFT-MFA(+LOMO) | 71.8 | 45.5 | 79.7 | 54.3 |\n| JSTLDGD | 81.6 | 56.6 | 83.1 | 68.1 |\n| JSTLDGD+ICV-ECCL | 88.4 | 69.5 | 90.6 | 77.3 |",1]
["| Query | SingleQuery | MultipleQuery |  |  |\n| --- | --- | --- | --- | --- |\n| Evaluationmodels | Rank-1 | mAP | Rank-1 | mAP |\n| KISSME | 40.5 | 19 | - | - |\n| BoW | 34.4 | 14.1 | - | - |","| XQDA<br>SCSP<br>DNS<br>SiameseLSTM | 43.822.2<br>51.926.3<br>61.035.6<br>-- | 54.128.4<br>--<br>71.546.0<br>61.635.3 |\n| --- | --- | --- |\n| GatedS-CNN<br>CAN | 65.839.5<br>48.224.4 | 76.048.4<br>-- |\n| Ours | 83.765.5 | 89.673.8 |",0]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 1682 | 654 | 482 |\n| DT-MKL | 1812 | 722 | 587 |\n| DLRC | 947 | 365 | 148 |","| CDSC | 861 | 247 | 130 |\n| --- | --- | --- | --- |\n| DTC | 2043 | 510 | 254 |",1]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 1682 | 654 | 482 |\n| DT-MKL | 1812 | 722 | 587 |\n| DLRC | 947 | 365 | 148 |","| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 0.208 | 0.362 | 0.856 |\n| DT-MKL | 0.268 | 0.397 | 0.918 |\n| DLRC | 0.196 | 0.384 | 0.862 |\n| CDSC | 0.209 | 0.367 | 0.901 |\n| DTC | 0.301 | 0.435 | 0.932 |",0]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 1682 | 654 | 482 |","| DT-MKL | 1812 | 722 | 587 |\n| --- | --- | --- | --- |\n| DLRC | 947 | 365 | 148 |\n| CDSC | 861 | 247 | 130 |\n| DTC | 2043 | 510 | 254 |",1]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 1682 | 654 | 482 |","| DLRC | 0.196 | 0.384 | 0.862 |\n| --- | --- | --- | --- |\n| CDSC | 0.209 | 0.367 | 0.901 |\n| DTC | 0.301 | 0.435 | 0.932 |",0]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 703.5 | 2881.1 | 999.1 | 2372.9 |","| 201-2,000 | 403.7 | 193.4 | 406.7 | 203.7 |\n| --- | --- | --- | --- | --- |\n| 2,001-17,000 | 119.7 | 4.2 | 122.7 | 4.6 |\n| 17,001-20,000 | 74.5 | 3.7 | 77.7 | 3.6 |",1]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 703.5 | 2881.1 | 999.1 | 2372.9 |","| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 684.7 | 2374.0 | 958.6 | 1596.7 |\n| 201-2,000 | 355.2 | 127.9 | 358.5 | 134.5 |\n| 2,001-17,000 | 101.3 | 5.1 | 104.9 | 5.3 |\n| 17,001-20,000 | 62.3 | 3.3 | 66.6 | 3.1 |",0]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 703.5 | 2881.1 | 999.1 | 2372.9 |\n| 201-2,000 | 403.7 | 193.4 | 406.7 | 203.7 |","| 2,001-17,000 | 119.7 | 4.2 | 122.7 | 4.6 |\n| --- | --- | --- | --- | --- |\n| 17,001-20,000 | 74.5 | 3.7 | 77.7 | 3.6 |",1]
["| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 703.5 | 2881.1 | 999.1 | 2372.9 |\n| 201-2,000 | 403.7 | 193.4 | 406.7 | 203.7 |","| 1-200 | 684.7 | 2374.0 | 958.6 | 1596.7 |\n| --- | --- | --- | --- | --- |\n| 201-2,000 | 355.2 | 127.9 | 358.5 | 134.5 |\n| 2,001-17,000 | 101.3 | 5.1 | 104.9 | 5.3 |\n| 17,001-20,000 | 62.3 | 3.3 | 66.6 | 3.1 |",0]
["| Method | AwA(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.10820.10920.11020.11020.1103 |\n| SDH | 0.09480.07430.11270.12660.1135 |\n| COSDISH | 0.07790.10450.11840.11150.1035 |","| ZSH | 0.10870.10510.12190.11710.1208 |\n| --- | --- |\n| NDA-ZSH | 0.08340.10670.11480.12780.1281 |\n| DA-ZSH | 0.10300.12610.13750.14320.1432 |\n| TZSH | 0.40100.48030.53270.54280.5442 |",1]
["| Method | AwA(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.10820.10920.11020.11020.1103 |\n| SDH | 0.09480.07430.11270.12660.1135 |\n| COSDISH | 0.07790.10450.11840.11150.1035 |","| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.19750.20350.20870.21720.2233 |\n| SDH | 0.17150.20220.21360.22140.2396 |\n| COSDISH | 0.17210.20360.21640.22700.2424 |\n| ZSH | 0.19210.21680.22230.24300.2663 |\n| One-Stage | 0.21280.24620.25260.26320.2512 |\n| NDA-ZSH | 0.22900.20180.19540.19270.1875 |\n| DA-ZSH | 0.41260.43130.45800.53250.5529 |\n| ship-truck<br>dog-truck<br>auto-deer<br>cat-dog | 0.66440.67680.68480.69080.6828<br>0.62630.63700.63450.63950.6400<br>0.62120.62660.63590.63470.6405<br>0.30930.32210.31180.31020.3140 |",0]
["| Method | AwA(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.10820.10920.11020.11020.1103 |\n| SDH | 0.09480.07430.11270.12660.1135 |\n| COSDISH | 0.07790.10450.11840.11150.1035 |","| ZSH | 0.10870.10510.12190.11710.1208 |\n| --- | --- |\n| NDA-ZSH | 0.08340.10670.11480.12780.1281 |\n| DA-ZSH | 0.10300.12610.13750.14320.1432 |\n| TZSH | 0.40100.48030.53270.54280.5442 |",1]
["| Method | AwA(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.10820.10920.11020.11020.1103 |\n| SDH | 0.09480.07430.11270.12660.1135 |\n| COSDISH | 0.07790.10450.11840.11150.1035 |","| COSDISH | 0.17210.20360.21640.22700.2424 |\n| --- | --- |\n| ZSH | 0.19210.21680.22230.24300.2663 |\n| One-Stage | 0.21280.24620.25260.26320.2512 |\n| NDA-ZSH | 0.22900.20180.19540.19270.1875 |\n| DA-ZSH | 0.41260.43130.45800.53250.5529 |\n| ship-truck<br>dog-truck<br>auto-deer<br>cat-dog | 0.66440.67680.68480.69080.6828<br>0.62630.63700.63450.63950.6400<br>0.62120.62660.63590.63470.6405<br>0.30930.32210.31180.31020.3140 |",0]
["|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |","| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",1]
["|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |","|  | aeroplane | bicycle | bird | boat | bottle | bus | car |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 69.1 | 33.0 | 72.8 | 53.9 | 70.7 | 76.8 | 72.1 |\n| RGB+dist | 75.7 | 34.1 | 75.8 | 59.0 | 71.7 | 75.8 | 76.2 |\n| RGB+coord | 75.7 | 32.9 | 76.2 | 55.1 | 70.1 | 75.2 | 73.9 |\n| RGB+dist+coord | 77.6 | 33.8 | 77.7 | 54.9 | 72.7 | 75.1 | 74.5 |",0]
["|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |\n| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |","| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",1]
["|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |\n| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |","| RGB+coord | 75.7 | 32.9 | 76.2 | 55.1 | 70.1 | 75.2 | 73.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+dist+coord | 77.6 | 33.8 | 77.7 | 54.9 | 72.7 | 75.1 | 74.5 |",0]
["| Group | word1 | word2 | word3 | Answer |\n| --- | --- | --- | --- | --- |\n| 4 | boy | girl | sons | daughters |\n| 5 | amazing | amazingly | slow | slowly |\n| 6 | honest | dishonest | known | unknown |\n| 7 | bad | worse | old | older |\n| 8 | bad | worst | good | best |","| 9 | code | coding | walk | walking |\n| --- | --- | --- | --- | --- |\n| 11 | dancing | danced | feeding | fed |\n| 12 | banana | bananas | car | cars |\n| 13 | decrease | decreases | say | says |",1]
["| Group | word1 | word2 | word3 | Answer |\n| --- | --- | --- | --- | --- |\n| 4 | boy | girl | sons | daughters |\n| 5 | amazing | amazingly | slow | slowly |\n| 6 | honest | dishonest | known | unknown |\n| 7 | bad | worse | old | older |\n| 8 | bad | worst | good | best |","| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",0]
["| Group | word1 | word2 | word3 | Answer |\n| --- | --- | --- | --- | --- |\n| 4 | boy | girl | sons | daughters |\n| 5 | amazing | amazingly | slow | slowly |\n| 6 | honest | dishonest | known | unknown |\n| 7 | bad | worse | old | older |\n| 8 | bad | worst | good | best |\n| 9 | code | coding | walk | walking |","| 11 | dancing | danced | feeding | fed |\n| --- | --- | --- | --- | --- |\n| 12 | banana | bananas | car | cars |\n| 13 | decrease | decreases | say | says |",1]
["| Group | word1 | word2 | word3 | Answer |\n| --- | --- | --- | --- | --- |\n| 4 | boy | girl | sons | daughters |\n| 5 | amazing | amazingly | slow | slowly |\n| 6 | honest | dishonest | known | unknown |\n| 7 | bad | worse | old | older |\n| 8 | bad | worst | good | best |\n| 9 | code | coding | walk | walking |","| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| --- | --- | --- | --- | --- |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",0]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| NaiveExponentialSmoothing | 2015 | 0.8110 |","| NaiveExponentialSmoothing | 2014 | 0.7411 |\n| --- | --- | --- |\n| NaiveExponentialSmoothing | 2013 | 0.8342 |\n| ARIMA(1,1,1) | 2015 | 0.7249 |\n| ARIMA(0,1,1) | 2015 | 0.7250 |",1]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| NaiveExponentialSmoothing | 2015 | 0.8110 |","| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| ARIMA(1,1,1) | 2015 | 0.5546 |\n| NaiveExponentialSmoothing | 2015 | 0.6487 |\n| NaiveExponentialSmoothing | 2014 | 0.7343 |\n| NaiveExponentialSmoothing | 2013 | 0.7263 |\n| ExponentialSmoothing | 2015 | 0.6405 |\n| ExponentialSmoothing | 2014 | 0.8086 |\n| ExponentialSmoothing | 2013 | 0.7391 |",0]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| NaiveExponentialSmoothing | 2015 | 0.8110 |","| NaiveExponentialSmoothing | 2014 | 0.7411 |\n| --- | --- | --- |\n| NaiveExponentialSmoothing | 2013 | 0.8342 |\n| ARIMA(1,1,1) | 2015 | 0.7249 |\n| ARIMA(0,1,1) | 2015 | 0.7250 |",1]
["| Model | Year | NDCG@20 |\n| --- | --- | --- |\n| NaiveExponentialSmoothing | 2015 | 0.8110 |","| ExponentialSmoothing | 2015 | 0.6405 |\n| --- | --- | --- |\n| ExponentialSmoothing | 2014 | 0.8086 |\n| ExponentialSmoothing | 2013 | 0.7391 |",0]
["| TestsetwMAPE:AR-MDN |\n| --- |\n| TestWindowWeek1Week2Week3Week4Overall |","| Weeks9-1222.9027.631.06*36.0629.58<br>Weeks13-1631.9835.71*35.9737.0235.17<br>Weeks15-1830.8631.9032.7437.01*33.13 |\n| --- |\n| Average28.5831.7433.2636.9332.63 |\n| TestsetwMAPE:BoostedCubist |\n| Weeks9-1228.5133.2138.63*43.2635.63<br>Weeks13-1635.3339.87*44.1246.1741.70<br>Weeks15-1832.7636.4241.1743.73*39.98 |\n| Average32.3035.5041.3144.3939.06 |",1]
["| TestsetwMAPE:AR-MDN |\n| --- |\n| TestWindowWeek1Week2Week3Week4Overall |","| LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. |  |\n|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |\n| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |\n|  | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |\n|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",0]
["| TestsetwMAPE:AR-MDN |\n| --- |\n| TestWindowWeek1Week2Week3Week4Overall |\n| Weeks9-1222.9027.631.06*36.0629.58<br>Weeks13-1631.9835.71*35.9737.0235.17<br>Weeks15-1830.8631.9032.7437.01*33.13 |","| Average28.5831.7433.2636.9332.63 |\n| --- |\n| TestsetwMAPE:BoostedCubist |\n| Weeks9-1228.5133.2138.63*43.2635.63<br>Weeks13-1635.3339.87*44.1246.1741.70<br>Weeks15-1832.7636.4241.1743.73*39.98 |\n| Average32.3035.5041.3144.3939.06 |",1]
["| TestsetwMAPE:AR-MDN |\n| --- |\n| TestWindowWeek1Week2Week3Week4Overall |\n| Weeks9-1222.9027.631.06*36.0629.58<br>Weeks13-1631.9835.71*35.9737.0235.17<br>Weeks15-1830.8631.9032.7437.01*33.13 |","|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |\n|  | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |\n|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",0]
["| System | ja→ch | ch→ja | ja→en | en→ja |\n| --- | --- | --- | --- | --- |\n| BaselineSMT | 3.5 | 3.7 | 3.1 | 3.2 |","| BaselineNMT | 4.2 | 4.3 | 3.9 | 4.1 |\n| --- | --- | --- | --- | --- |\n| NMTwithPosUnkmodel | 4.3 | 4.3 | 4.0 | 4.2 |\n| NMTwithphrasetranslationbySMT(phrase<br>pairsselectedwithbranchingentropy) | 4.5 | 4.6 | 4.1 | 4.4 |",1]
["| System | ja→ch | ch→ja | ja→en | en→ja |\n| --- | --- | --- | --- | --- |\n| BaselineSMT | 3.5 | 3.7 | 3.1 | 3.2 |","| English→Germantask | BLEU | German→Englishtask | BLEU |\n| --- | --- | --- | --- |\n| Existingend-to-endsystem |  |  |  |\n| RNNSearch-LV<br>MRT<br>Global-att<br>GNMT | 19.40<br>20.45<br>20.90<br>24.61 | BSO<br>NMPT<br>NMPT+LM<br>ActorCritic | 26.36<br>28.96<br>29.16<br>28.53 |\n| Ourend-to-endsystem |  |  |  |\n| Baseline<br>SharpenedSigmoid<br>2<br>G-LSTM | 21.89<br>21.64<br>22.43 | -<br>-<br>- | 31.00<br>29.73<br>31.95 |",0]
["| System | ja→ch | ch→ja | ja→en | en→ja |\n| --- | --- | --- | --- | --- |\n| BaselineSMT | 3.5 | 3.7 | 3.1 | 3.2 |","| BaselineNMT | 4.2 | 4.3 | 3.9 | 4.1 |\n| --- | --- | --- | --- | --- |\n| NMTwithPosUnkmodel | 4.3 | 4.3 | 4.0 | 4.2 |\n| NMTwithphrasetranslationbySMT(phrase<br>pairsselectedwithbranchingentropy) | 4.5 | 4.6 | 4.1 | 4.4 |",1]
["| System | ja→ch | ch→ja | ja→en | en→ja |\n| --- | --- | --- | --- | --- |\n| BaselineSMT | 3.5 | 3.7 | 3.1 | 3.2 |","| RNNSearch-LV<br>MRT<br>Global-att<br>GNMT | 19.40<br>20.45<br>20.90<br>24.61 | BSO<br>NMPT<br>NMPT+LM<br>ActorCritic | 26.36<br>28.96<br>29.16<br>28.53 |\n| --- | --- | --- | --- |\n| Ourend-to-endsystem |  |  |  |\n| Baseline<br>SharpenedSigmoid<br>2<br>G-LSTM | 21.89<br>21.64<br>22.43 | -<br>-<br>- | 31.00<br>29.73<br>31.95 |",0]
["| SetupName | TestingDataset | TrainingDataset | TrainSize |\n| --- | --- | --- | --- |\n| P1 | e-PRIP | e-PRIP | 48 |","| P2 | e-PRIP | e-PRIP | 48 |\n| --- | --- | --- | --- |\n| P3 | IIIT-DSemi-forensic | CUFS,IIIT-DViewed,CUFSF,e-PRIP | 1968 |\n| MGDBUnviewed |  |  |  |",1]
["| SetupName | TestingDataset | TrainingDataset | TrainSize |\n| --- | --- | --- | --- |\n| P1 | e-PRIP | e-PRIP | 48 |","| Trainingdata | Target(test)data |  |\n| --- | --- | --- |\n| Arts | Sports |  |\n| Entiredataset | 33.6 | 52.4 |\n| Withouttargetdomaindata | 24.5 | 29.3 |\n| +5ktargetdomaindata | 31.2 | 41.8 |\n| +10ktargetdomaindata | 32.2 | 43.3 |",0]
["| SetupName | TestingDataset | TrainingDataset | TrainSize |\n| --- | --- | --- | --- |\n| P1 | e-PRIP | e-PRIP | 48 |","| P2 | e-PRIP | e-PRIP | 48 |\n| --- | --- | --- | --- |\n| P3 | IIIT-DSemi-forensic | CUFS,IIIT-DViewed,CUFSF,e-PRIP | 1968 |\n| MGDBUnviewed |  |  |  |",1]
["| SetupName | TestingDataset | TrainingDataset | TrainSize |\n| --- | --- | --- | --- |\n| P1 | e-PRIP | e-PRIP | 48 |","| Withouttargetdomaindata | 24.5 | 29.3 |\n| --- | --- | --- |\n| +5ktargetdomaindata | 31.2 | 41.8 |\n| +10ktargetdomaindata | 32.2 | 43.3 |",0]
["| Facts | Maximumnumberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |\n| Date | 500 |\n| Part | 1000 |","| Documents | Size(MB) |\n| --- | --- |\n| facts.xmlsales | 2.14 |\n| dimension.xmlCustomer | 0.431 |\n| dimension.xmlSupplier | 0.485 |\n| dimension.xmlDate | 0.104 |\n| dimension.xmlPart | 0.388 |",1]
["| Facts | Maximumnumberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |\n| Date | 500 |\n| Part | 1000 |","| Facts | Numberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |\n| Date | 500 |\n| Part | 1000 |\n| Documents | Size(MB) |\n| facts.xmlsales | 2.14 |\n| dimension.xmlCustomer | 0.431 |\n| dimension.xmlSupplier | 0.485 |\n| dimension.xmlDate | 0.104 |\n| dimension.xmlPart | 0.388 |",0]
["| Facts | Maximumnumberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |","| Customer | 1000 |\n| --- | --- |\n| Supplier | 1000 |\n| Date | 500 |\n| Part | 1000 |\n| Documents | Size(MB) |\n| facts.xmlsales | 2.14 |\n| dimension.xmlCustomer | 0.431 |\n| dimension.xmlSupplier | 0.485 |\n| dimension.xmlDate | 0.104 |\n| dimension.xmlPart | 0.388 |",1]
["| Facts | Maximumnumberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |","| dimension.xmlDate | 0.104 |\n| --- | --- |\n| dimension.xmlPart | 0.388 |",0]
["|  |  | x(m) | y(m) | z(m) | angle(rad) | axisx |\n| --- | --- | --- | --- | --- | --- | --- |\n| two-wayrotation | mean | 0.083285 | 0.031271 | 0.129084 | 1.66594 | 0.511814 |\n| standarddeviation | 0.000531 | 0.000906 | 0.00169 | 0.000391 | 0.000877 |  |","| horizontalmovement | mean | 0.101651 | 0.031098 | 0.11713 | 1.642449 | 0.52515 |\n| --- | --- | --- | --- | --- | --- | --- |\n| standarddeviation | 0.004845 | 0.002489 | 0.002671 | 0.010782 | 0.015054 |  |",1]
["|  |  | x(m) | y(m) | z(m) | angle(rad) | axisx |\n| --- | --- | --- | --- | --- | --- | --- |\n| two-wayrotation | mean | 0.083285 | 0.031271 | 0.129084 | 1.66594 | 0.511814 |\n| standarddeviation | 0.000531 | 0.000906 | 0.00169 | 0.000391 | 0.000877 |  |","| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |  |\n| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |\n| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |\n| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |\n| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |\n| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 |",0]
["|  |  | x(m) | y(m) | z(m) | angle(rad) | axisx |\n| --- | --- | --- | --- | --- | --- | --- |\n| two-wayrotation | mean | 0.083285 | 0.031271 | 0.129084 | 1.66594 | 0.511814 |","| standarddeviation | 0.000531 | 0.000906 | 0.00169 | 0.000391 | 0.000877 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| horizontalmovement | mean | 0.101651 | 0.031098 | 0.11713 | 1.642449 | 0.52515 |\n| standarddeviation | 0.004845 | 0.002489 | 0.002671 | 0.010782 | 0.015054 |  |",1]
["|  |  | x(m) | y(m) | z(m) | angle(rad) | axisx |\n| --- | --- | --- | --- | --- | --- | --- |\n| two-wayrotation | mean | 0.083285 | 0.031271 | 0.129084 | 1.66594 | 0.511814 |","| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |\n| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |\n| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |\n| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 |",0]
["| layer | type | kernelsize/stride | output | layer | type |\n| --- | --- | --- | --- | --- | --- |\n| 1-2 | conv+relu | (3,3)/1-(1,1)/1 | (128,128,32) | 13-14 | conv+relu |","| 3-4 | conv+relu | (3,3)/2-(1,1)/1 | (64,64,32) | 15 | maxpool |\n| --- | --- | --- | --- | --- | --- |\n| 5 | maxpool | (3,3)/2 | (32,32,32) | 16-17 | conv+relu |\n| 6-7 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 18-19 | conv+relu |\n| 8-9 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 20 | fc+relu+dropout |\n| 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |\n| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc |",1]
["| layer | type | kernelsize/stride | output | layer | type |\n| --- | --- | --- | --- | --- | --- |\n| 1-2 | conv+relu | (3,3)/1-(1,1)/1 | (128,128,32) | 13-14 | conv+relu |","| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |\n| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |\n| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |\n| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| layer | type | kernelsize/stride | output | layer | type |\n| --- | --- | --- | --- | --- | --- |\n| 1-2 | conv+relu | (3,3)/1-(1,1)/1 | (128,128,32) | 13-14 | conv+relu |\n| 3-4 | conv+relu | (3,3)/2-(1,1)/1 | (64,64,32) | 15 | maxpool |","| 5 | maxpool | (3,3)/2 | (32,32,32) | 16-17 | conv+relu |\n| --- | --- | --- | --- | --- | --- |\n| 6-7 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 18-19 | conv+relu |\n| 8-9 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 20 | fc+relu+dropout |\n| 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |\n| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc |",1]
["| layer | type | kernelsize/stride | output | layer | type |\n| --- | --- | --- | --- | --- | --- |\n| 1-2 | conv+relu | (3,3)/1-(1,1)/1 | (128,128,32) | 13-14 | conv+relu |\n| 3-4 | conv+relu | (3,3)/2-(1,1)/1 | (64,64,32) | 15 | maxpool |","| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |\n| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Models | AP(OKS) | FLOPs |\n| --- | --- | --- |\n| GlobalNetonly | 66.6 | 3.90G |\n| GlobalNet+Concat | 68.5 | 5.87G |","| GlobalNet+1bottleneck+Concat | 69.2 | 6.92G |\n| --- | --- | --- |\n| ours(CPN) | 69.4 | 6.20G |",1]
["| Models | AP(OKS) | FLOPs |\n| --- | --- | --- |\n| GlobalNetonly | 66.6 | 3.90G |\n| GlobalNet+Concat | 68.5 | 5.87G |","| GlobalNet | ReﬁneNet | AP(OKS) |\n| --- | --- | --- |\n| — | L2loss | 68.2 |\n| L2loss | L2loss | 68.6 |\n| — | L2loss* | 68.5 |\n| L2loss | L2loss* | 69.4 |\n| L2loss* | L2loss* | 69.1 |",0]
["| Models | AP(OKS) | FLOPs |\n| --- | --- | --- |\n| GlobalNetonly | 66.6 | 3.90G |","| GlobalNet+Concat | 68.5 | 5.87G |\n| --- | --- | --- |\n| GlobalNet+1bottleneck+Concat | 69.2 | 6.92G |\n| ours(CPN) | 69.4 | 6.20G |",1]
["| Models | AP(OKS) | FLOPs |\n| --- | --- | --- |\n| GlobalNetonly | 66.6 | 3.90G |","| L2loss | L2loss | 68.6 |\n| --- | --- | --- |\n| — | L2loss* | 68.5 |\n| L2loss | L2loss* | 69.4 |\n| L2loss* | L2loss* | 69.1 |",0]
["| Total<br>MPI<br>Ranks | Initialization | Assembling<br>(A) | Solving<br>(S) | Communication<br>(C) | S&C | A,S&C | TotalExecution |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 24 | 140.48 | 757.41 | 186.25 | 5.82 | 192.08 | 949.49 | 1089.97 |\n| 30 | 107.62 | 576.76 | 158.38 | 4.95 | 163.32 | 740.08 | 847.70 |\n| 60 | 43.37 | 350.02 | 78.05 | 2.33 | 80.38 | 430.40 | 473.77 |","| 120 | 23.13 | 178.86 | 46.30 | 3 | 2.33 | 227.50 | 250.63 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 240 | 5.59 | 90.17 | 22.12 | 2.14 | 24.24 | 114.41 | 120.00 |\n| 480 | 2.91 | 45.51 | 11.15 | 1.13 | 12.28 | 57.79 | 60.70 |\n| 960 | 2.14 | 21.91 | 6.72 | 3.51 | 10.23 | 32.14 | 34.27 |\n| 1080 | 2.34 | 20.52 | 5.53 | 4.38 | 9.88 | 30.40 | 32.74 |",1]
["| Total<br>MPI<br>Ranks | Initialization | Assembling<br>(A) | Solving<br>(S) | Communication<br>(C) | S&C | A,S&C | TotalExecution |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 24 | 140.48 | 757.41 | 186.25 | 5.82 | 192.08 | 949.49 | 1089.97 |\n| 30 | 107.62 | 576.76 | 158.38 | 4.95 | 163.32 | 740.08 | 847.70 |\n| 60 | 43.37 | 350.02 | 78.05 | 2.33 | 80.38 | 430.40 | 473.77 |","| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |\n| --- | --- | --- | --- | --- | --- | --- |\n| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |\n| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |\n| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |\n| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |\n| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |\n| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |\n| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",0]
["| Total<br>MPI<br>Ranks | Initialization | Assembling<br>(A) | Solving<br>(S) | Communication<br>(C) | S&C | A,S&C | TotalExecution |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 24 | 140.48 | 757.41 | 186.25 | 5.82 | 192.08 | 949.49 | 1089.97 |","| 30 | 107.62 | 576.76 | 158.38 | 4.95 | 163.32 | 740.08 | 847.70 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 60 | 43.37 | 350.02 | 78.05 | 2.33 | 80.38 | 430.40 | 473.77 |\n| 120 | 23.13 | 178.86 | 46.30 | 3 | 2.33 | 227.50 | 250.63 |\n| 240 | 5.59 | 90.17 | 22.12 | 2.14 | 24.24 | 114.41 | 120.00 |\n| 480 | 2.91 | 45.51 | 11.15 | 1.13 | 12.28 | 57.79 | 60.70 |\n| 960 | 2.14 | 21.91 | 6.72 | 3.51 | 10.23 | 32.14 | 34.27 |\n| 1080 | 2.34 | 20.52 | 5.53 | 4.38 | 9.88 | 30.40 | 32.74 |",1]
["| Total<br>MPI<br>Ranks | Initialization | Assembling<br>(A) | Solving<br>(S) | Communication<br>(C) | S&C | A,S&C | TotalExecution |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 24 | 140.48 | 757.41 | 186.25 | 5.82 | 192.08 | 949.49 | 1089.97 |","| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |\n| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |\n| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |\n| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |\n| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",0]
["| SSC | LRSC | ENSC | KMP |\n| --- | --- | --- | --- |\n| α | τα | λλλ123 | kλ |\n| 25 | 55 | 0.10.11 | 1000.1 |","| 200 | 100100 | 0.10.11000 | 1000.1 |\n| --- | --- | --- | --- |\n| 120 | -- | --- | -- |\n| - | -- | --- | -- |",1]
["| SSC | LRSC | ENSC | KMP |\n| --- | --- | --- | --- |\n| α | τα | λλλ123 | kλ |\n| 25 | 55 | 0.10.11 | 1000.1 |","| η | 0.001 | 0.005 | 0.01 | 0.0125 |\n| --- | --- | --- | --- | --- |\n| Nc | 5 | 9 | 16 | 20 |\n| τ | 3 | 5 | 6 | 7 |\n| a | 23 | 24 | 24 | 27 |\n| Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |",0]
["| SSC | LRSC | ENSC | KMP |\n| --- | --- | --- | --- |\n| α | τα | λλλ123 | kλ |","| 25 | 55 | 0.10.11 | 1000.1 |\n| --- | --- | --- | --- |\n| 200 | 100100 | 0.10.11000 | 1000.1 |\n| 120 | -- | --- | -- |\n| - | -- | --- | -- |",1]
["| SSC | LRSC | ENSC | KMP |\n| --- | --- | --- | --- |\n| α | τα | λλλ123 | kλ |","| τ | 3 | 5 | 6 | 7 |\n| --- | --- | --- | --- | --- |\n| a | 23 | 24 | 24 | 27 |\n| Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |",0]
["| Database | Type | Description | Size(GB) |\n| --- | --- | --- | --- |\n| Drosph | DNA | Sequencesfromthedrosophilagenome | 0.12 |\n| pataa | Protein | Patentedproteindatabase | 0.17 |\n| estothers | DNA | ESTdatabasewithouthuman/mouseentries | 0.37 |","| envnr | Protein | Environmentalproteinsequences | 1.6 |\n| --- | --- | --- | --- |\n| nr | protein | Non-redundantproteindatabase | 4 |",1]
["| Database | Type | Description | Size(GB) |\n| --- | --- | --- | --- |\n| Drosph | DNA | Sequencesfromthedrosophilagenome | 0.12 |\n| pataa | Protein | Patentedproteindatabase | 0.17 |\n| estothers | DNA | ESTdatabasewithouthuman/mouseentries | 0.37 |","| GeneName | TranscriptName | PrimerSequence-Forward | PrimerSequence-Reverse |\n| --- | --- | --- | --- |\n| ERBB2 | NM001005862 | 5-CACAGATAAAACGGGGGCAC | 5-CAGGGTCTGAGTCTCTGTGCT |\n| NSD1 | NM022455 | 5-GACACGGTGCAGTCAAATCG | 5-GCTGCCGTCCACTTCATTTC |\n| ∗<br>U2AF1 | NM001025203 | 5-TTGGAGCATGTCGTCATGGAG | 5-CTGTGCACTGTTTTGGGGATT |\n| PDGFB | NM002608 | 5-CTCCGCGCTTTCCGATTTTG | 5-AGAGGAAAAGGAACACGGCA |\n| ∗<br>DNMT3A | NM153759 | 5-GCAGCTACTTCCAGAGCTTCA | 5-TTTCAGGCTACGATCCACGC |\n| ∗<br>GNAS | NM016592 | 5-CGAGTCTTAGGCTGCGGAAT | 5-GCACCTACCTTCCTGACCAC |\n| RBM15 | NM001201545 | 5-ATGCCTTCCCACCTTGTGAG | 5-TCAACCAGTTTTGCACGGAC |\n| RET | NM020630 | 5-TGCCCAGCAACTTAGGATGG | 5-TTGATTCCCACCCCAGAAGC |\n| TCF3 | NM001136139 | 5-GAGAAAGACCTGAGGGACCG | 5-GGCCTCGTTAATATCCCGCA |\n| WHSC1L1 | NM017778 | 5-GCCTCTCAGTACAGCACTCC | 5-GCCTGCCCATGTTAATGCTG |\n| CBFB | NM001755 | 5-GGATGCATTAGCACAACAGGC | 5-GCCAGCAGCTGTGAAACTCT |\n| TP53 | IsoGroup1<br>IsoGroup2 | 5-GATGAAGCTCCCAGAATGCC<br>5-GAGGTGTAGACGCCAACTCT | 5-GTAGCTGCCCTGGTAGGTTT<br>5-AAGTCAGGGCACAAGTGAACA |\n| ∗<br>NF1 | NM000267 | 5-TGAGGAAAACCAGCGGAACC | 5-GCTGGCTAACCACCTGGTATAAA |",0]
["| Database | Type | Description | Size(GB) |\n| --- | --- | --- | --- |\n| Drosph | DNA | Sequencesfromthedrosophilagenome | 0.12 |\n| pataa | Protein | Patentedproteindatabase | 0.17 |","| estothers | DNA | ESTdatabasewithouthuman/mouseentries | 0.37 |\n| --- | --- | --- | --- |\n| envnr | Protein | Environmentalproteinsequences | 1.6 |\n| nr | protein | Non-redundantproteindatabase | 4 |",1]
["| Database | Type | Description | Size(GB) |\n| --- | --- | --- | --- |\n| Drosph | DNA | Sequencesfromthedrosophilagenome | 0.12 |\n| pataa | Protein | Patentedproteindatabase | 0.17 |","| RET | NM020630 | 5-TGCCCAGCAACTTAGGATGG | 5-TTGATTCCCACCCCAGAAGC |\n| --- | --- | --- | --- |\n| TCF3 | NM001136139 | 5-GAGAAAGACCTGAGGGACCG | 5-GGCCTCGTTAATATCCCGCA |\n| WHSC1L1 | NM017778 | 5-GCCTCTCAGTACAGCACTCC | 5-GCCTGCCCATGTTAATGCTG |\n| CBFB | NM001755 | 5-GGATGCATTAGCACAACAGGC | 5-GCCAGCAGCTGTGAAACTCT |\n| TP53 | IsoGroup1<br>IsoGroup2 | 5-GATGAAGCTCCCAGAATGCC<br>5-GAGGTGTAGACGCCAACTCT | 5-GTAGCTGCCCTGGTAGGTTT<br>5-AAGTCAGGGCACAAGTGAACA |\n| ∗<br>NF1 | NM000267 | 5-TGAGGAAAACCAGCGGAACC | 5-GCTGGCTAACCACCTGGTATAAA |",0]
["| Datasets | SPIRAL<br>-kMeans | k-Shape | CLDS | kMeans<br>-DTW |\n| --- | --- | --- | --- | --- |\n| SwedishLeaf | 0.61 | 0.56 | 0.60 | 0.50 |\n| CricketX | 0.32 | 0.31 | 0.26 | 0.22 |\n| uWGLX | 0.47 | 0.38 | 0.28 | 0.32 |\n| 50words | 0.68 | 0.50 | 0.56 | 0.53 |","| SLC | 0.60 | 0.56 | 0.41 | N/A |\n| --- | --- | --- | --- | --- |\n| SC | 0.80 | 0.78 | 0.51 | 0.70 |\n| ED | 0.35 | 0.23 | 0.2 | 0.24 |",1]
["| Datasets | SPIRAL<br>-kMeans | k-Shape | CLDS | kMeans<br>-DTW |\n| --- | --- | --- | --- | --- |\n| SwedishLeaf | 0.61 | 0.56 | 0.60 | 0.50 |\n| CricketX | 0.32 | 0.31 | 0.26 | 0.22 |\n| uWGLX | 0.47 | 0.38 | 0.28 | 0.32 |\n| 50words | 0.68 | 0.50 | 0.56 | 0.53 |","|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["| Datasets | SPIRAL<br>-kMeans | k-Shape | CLDS | kMeans<br>-DTW |\n| --- | --- | --- | --- | --- |\n| SwedishLeaf | 0.61 | 0.56 | 0.60 | 0.50 |","| CricketX | 0.32 | 0.31 | 0.26 | 0.22 |\n| --- | --- | --- | --- | --- |\n| uWGLX | 0.47 | 0.38 | 0.28 | 0.32 |\n| 50words | 0.68 | 0.50 | 0.56 | 0.53 |\n| SLC | 0.60 | 0.56 | 0.41 | N/A |\n| SC | 0.80 | 0.78 | 0.51 | 0.70 |\n| ED | 0.35 | 0.23 | 0.2 | 0.24 |",1]
["| Datasets | SPIRAL<br>-kMeans | k-Shape | CLDS | kMeans<br>-DTW |\n| --- | --- | --- | --- | --- |\n| SwedishLeaf | 0.61 | 0.56 | 0.60 | 0.50 |","| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["| SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 |\n| 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 |\n| 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 |\n| 5x5 | 5 | 10 | 100 | 2 | 1.49 | 1.43 |\n| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 |\n| 5x5 | 5 | 20 | 100 | 1 | 1.17 | - |\n| 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 |","| 5x5 | 40 | 10 | 100 | 1 | 1.20 | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| 15x15 | 5 | 5 | 900 | 1 | 1.22 | - |\n| 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |\n| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |\n| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 |",1]
["| SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 |\n| 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 |\n| 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 |\n| 5x5 | 5 | 10 | 100 | 2 | 1.49 | 1.43 |\n| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 |\n| 5x5 | 5 | 20 | 100 | 1 | 1.17 | - |\n| 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 |","|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 |\n| 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 |\n| 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 |","| 5x5 | 5 | 10 | 100 | 2 | 1.49 | 1.43 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 |\n| 5x5 | 5 | 20 | 100 | 1 | 1.17 | - |\n| 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 |\n| 5x5 | 40 | 10 | 100 | 1 | 1.20 | - |\n| 15x15 | 5 | 5 | 900 | 1 | 1.22 | - |\n| 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |\n| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |\n| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 |",1]
["| SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 |\n| 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 |\n| 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 |","| 5 | 27.80 | 0.0762 | 19 | 1.0 |\n| --- | --- | --- | --- | --- |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |",0]
["| activity | param. | work-<br>aholic | Arnold | retiree |\n| --- | --- | --- | --- | --- |\n| sleep | earlystart | 23 | 22 | 22 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| breakfast | earlystart | 7 | 8 | 7 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| lunch | earlystart | 12 | 12 | 12 |\n|  |  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| dinner | earlystart | 18 | 19 | 18 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| work | earlystart | 8 | 9 | 8 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,0.8,0 | 1,1,0,1,0,0,0 | 0,0,0,0,0,0,0 |  |\n| workout | earlystart | 19.5 | 16 | 19 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 0,0,0,0,0,0,0 | 0,0,0,0,0,0,0 | 0,0,0,0,0,0,0 |  |",1]
["| activity | param. | work-<br>aholic | Arnold | retiree |\n| --- | --- | --- | --- | --- |\n| sleep | earlystart | 23 | 22 | 22 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| breakfast | earlystart | 7 | 8 | 7 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| lunch | earlystart | 12 | 12 | 12 |\n|  |  |  |  |  |","|  | kNN | RDF | CNN | CNN+LF |\n| --- | --- | --- | --- | --- |\n| Chores | 33.10 | 17.24 | 00.69 | 20.00 |\n| Driving | 55.07 | 60.87 | 98.55 | 96.62 |\n| Cooking | 25.66 | 35.53 | 47.37 | 60.53 |\n| Exercising | 44.00 | 63.00 | 69.00 | 73.00 |\n| Reading | 68.55 | 49.12 | 30.04 | 53.36 |\n| Presentation | 80.00 | 72.35 | 80.59 | 87.06 |\n| Dogs | 62.17 | 44.35 | 55.65 | 66.09 |\n| Resting | 72.73 | 54.55 | 27.27 | 45.45 |\n| Eating | 77.14 | 75.75 | 82.05 | 83.12 |\n| Working | 91.10 | 96.42 | 93.49 | 95.19 |\n| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |\n| TV | 77.38 | 75.79 | 81.75 | 81.75 |\n| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |\n| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |\n| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |\n| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |\n| Biking | 19.57 | 23.19 | 78.26 | 81.88 |\n| Family | 70.82 | 87.42 | 86.69 | 90.15 |\n| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |\n| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",0]
["| activity | param. | work-<br>aholic | Arnold | retiree |\n| --- | --- | --- | --- | --- |\n| sleep | earlystart | 23 | 22 | 22 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| breakfast | earlystart | 7 | 8 | 7 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |","| lunch | earlystart | 12 | 12 | 12 |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| dinner | earlystart | 18 | 19 | 18 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| work | earlystart | 8 | 9 | 8 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,0.8,0 | 1,1,0,1,0,0,0 | 0,0,0,0,0,0,0 |  |\n| workout | earlystart | 19.5 | 16 | 19 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 0,0,0,0,0,0,0 | 0,0,0,0,0,0,0 | 0,0,0,0,0,0,0 |  |",1]
["| activity | param. | work-<br>aholic | Arnold | retiree |\n| --- | --- | --- | --- | --- |\n| sleep | earlystart | 23 | 22 | 22 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |\n| breakfast | earlystart | 7 | 8 | 7 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 | 1,1,1,1,1,1,1 |  |","| Working | 91.10 | 96.42 | 93.49 | 95.19 |\n| --- | --- | --- | --- | --- |\n| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |\n| TV | 77.38 | 75.79 | 81.75 | 81.75 |\n| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |\n| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |\n| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |\n| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |\n| Biking | 19.57 | 23.19 | 78.26 | 81.88 |\n| Family | 70.82 | 87.42 | 86.69 | 90.15 |\n| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |\n| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",0]
["| Deviationcategory | 15.1 | 15.2,15.6 |\n| --- | --- | --- |\n| HarmedRouting | {1,2,3,4,5,6} | {1,2} |\n| AﬀectedStability | {2,5,6} | {2} |","| Non-vulnerability | {7} | {7} |\n| --- | --- | --- |\n| Total#offounddeviations | 7 | 3 |",1]
["| Deviationcategory | 15.1 | 15.2,15.6 |\n| --- | --- | --- |\n| HarmedRouting | {1,2,3,4,5,6} | {1,2} |\n| AﬀectedStability | {2,5,6} | {2} |","| Model | TripAdvisorData | OpenTableData |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| OrdinalAspectBias | -557.08 | 1.00 | -493.79 | 1.03 |\n| ContinuousAspectBias | -1050.32 | 3.13 | -560.14 | 2.21 |\n| OrdinalNoBias | -689.76 | 1.47 | -546.25 | 1.95 |\n| ContinuousNoBias | -1904.64 | 3.52 | -651.16 | 2.39 |\n| OrdinalGlobalBias | -2438.52 | 2.85 | -570.28 | 2.37 |\n| ContinuousGlobalBias | -2632.95 | 3.91 | -595.62 | 2.41 |",0]
["| Deviationcategory | 15.1 | 15.2,15.6 |\n| --- | --- | --- |\n| HarmedRouting | {1,2,3,4,5,6} | {1,2} |\n| AﬀectedStability | {2,5,6} | {2} |","| Non-vulnerability | {7} | {7} |\n| --- | --- | --- |\n| Total#offounddeviations | 7 | 3 |",1]
["| Deviationcategory | 15.1 | 15.2,15.6 |\n| --- | --- | --- |\n| HarmedRouting | {1,2,3,4,5,6} | {1,2} |\n| AﬀectedStability | {2,5,6} | {2} |","| ContinuousAspectBias | -1050.32 | 3.13 | -560.14 | 2.21 |\n| --- | --- | --- | --- | --- |\n| OrdinalNoBias | -689.76 | 1.47 | -546.25 | 1.95 |\n| ContinuousNoBias | -1904.64 | 3.52 | -651.16 | 2.39 |\n| OrdinalGlobalBias | -2438.52 | 2.85 | -570.28 | 2.37 |\n| ContinuousGlobalBias | -2632.95 | 3.91 | -595.62 | 2.41 |",0]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 5 | 0.719 | 0.464 |","|  | LambdaMART<br>RNN<br>DNN | 1<br>2<br>3 | 0.784<br>0.768<br>0.750 | 0.735<br>0.346<br>0.416 |\n| --- | --- | --- | --- | --- |\n|  | RealCMBP | 2.5 | 0.762 | 0.436 |\n| RPN | RPN | 2.5 | 0.757 | 0.374 |",1]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 5 | 0.719 | 0.464 |","| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 6 | 0.575 | 0.691 |\n|  | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |\n|  | RealCMBP | 1.5 | 0.634 | 0.579 |\n| RPN | RPN | 0.5 | 0.650 | 0.549 |",0]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 5 | 0.719 | 0.464 |","|  | LambdaMART<br>RNN<br>DNN | 1<br>2<br>3 | 0.784<br>0.768<br>0.750 | 0.735<br>0.346<br>0.416 |\n| --- | --- | --- | --- | --- |\n|  | RealCMBP | 2.5 | 0.762 | 0.436 |\n| RPN | RPN | 2.5 | 0.757 | 0.374 |",1]
["| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 5 | 0.719 | 0.464 |","|  | RealCMBP | 1.5 | 0.634 | 0.579 |\n| --- | --- | --- | --- | --- |\n| RPN | RPN | 0.5 | 0.650 | 0.549 |",0]
["| Year | Dataset | Pairs | Source |\n| --- | --- | --- | --- |\n| 2012<br>2012<br>2012<br>2012<br>2012 | MSRpar<br>MSRvid<br>OnWN<br>SMTnews<br>SMTeuroparl | 1500<br>1500<br>750<br>750<br>750 | newswire<br>videos<br>glosses<br>WMTeval.<br>WMTeval. |\n| 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. |\n| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |","| 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions |\n| --- | --- | --- | --- |\n| 2017 | Trial | 23 | MixedSTS2016 |",1]
["| Year | Dataset | Pairs | Source |\n| --- | --- | --- | --- |\n| 2012<br>2012<br>2012<br>2012<br>2012 | MSRpar<br>MSRvid<br>OnWN<br>SMTnews<br>SMTeuroparl | 1500<br>1500<br>750<br>750<br>750 | newswire<br>videos<br>glosses<br>WMTeval.<br>WMTeval. |\n| 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. |\n| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |","| WE | Dim | Vocab# | TrainCorpus<br>(Toks#) | POS(Acc) | CHUNK(F1) | NER |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 80 | 82K | Broadcastnews<br>(400M) | 96.97 | 92.53 | 84.69 |\n|  | 50 | 130K | RCV1+Wiki<br>(221M+631M) | 97.02 | 93.76 | 89.34 |\n|  | 300 | 3M | Googlenews<br>(10B) | 96.85 | 92.45 | 85.80 |\n|  | 100 | 1193K | Twitter(27B) | 97.02 | 93.01 | 87.33 |\n| BLSTMWE(10m) | 100 | 100K | USnews(10M) | 96.61 | 91.91 | 84.66 |\n| BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 |\n| BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 |\n| BLSTMWE(all)+ | 100 | 113K | USnews(536M) | 97.26 | 94.59 | 89.64 |\n| RANDOM | 100 | 100K | N/A | 96.61 | 91.71 | 82.52 |",0]
["| Year | Dataset | Pairs | Source |\n| --- | --- | --- | --- |\n| 2012<br>2012<br>2012<br>2012<br>2012 | MSRpar<br>MSRvid<br>OnWN<br>SMTnews<br>SMTeuroparl | 1500<br>1500<br>750<br>750<br>750 | newswire<br>videos<br>glosses<br>WMTeval.<br>WMTeval. |\n| 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. |\n| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |","| 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions |\n| --- | --- | --- | --- |\n| 2017 | Trial | 23 | MixedSTS2016 |",1]
["| Year | Dataset | Pairs | Source |\n| --- | --- | --- | --- |\n| 2012<br>2012<br>2012<br>2012<br>2012 | MSRpar<br>MSRvid<br>OnWN<br>SMTnews<br>SMTeuroparl | 1500<br>1500<br>750<br>750<br>750 | newswire<br>videos<br>glosses<br>WMTeval.<br>WMTeval. |\n| 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. |\n| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |","| BLSTMWE(100m) | 100 | 100K | USnews(100M) | 97.10 | 93.86 | 86.47 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BLSTMWE(all) | 100 | 100K | USnews(536M) | 97.26 | 94.44 | 88.38 |\n| BLSTMWE(all)+ | 100 | 113K | USnews(536M) | 97.26 | 94.59 | 89.64 |\n| RANDOM | 100 | 100K | N/A | 96.61 | 91.71 | 82.52 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |","| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| --- |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |","| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |","| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| --- |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |","| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| --- |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["| Parameter | Value |\n| --- | --- |\n| Simulationruns<br>hlineAPs | 1000<br>1 |\n| BTSs | 1 |\n| APpeakthroughput | 36Mbps |","| BTSpeakthroughput | 20Mbps |\n| --- | --- |\n| SLC1airitmebid | 1.4 |\n| SLC2airitmebid | 0.6 |\n| SlicesperAP | 2 |\n| SlicesperBTS | 2 |",1]
["| Parameter | Value |\n| --- | --- |\n| Simulationruns<br>hlineAPs | 1000<br>1 |\n| BTSs | 1 |\n| APpeakthroughput | 36Mbps |","| Parameter | Value |\n| --- | --- |\n| L2CacheSize | 512KB |\n| L1CacheSize | 16KB |\n| L2CachelineSize | 32bytes |\n| L1CachelineSize | 32bytes |\n| BMissPenalty2 | 110ns |\n| BMissPenalty1 | 16.25ns |\n| TLBEntries | 64 |\n| CompCostNode | 30ns |\n| W(MemoryBandwidth)1 | 647MB/s |\n| W(NetworkBandwidth)2 | 138MB/s |",0]
["| Parameter | Value |\n| --- | --- |\n| Simulationruns<br>hlineAPs | 1000<br>1 |\n| BTSs | 1 |\n| APpeakthroughput | 36Mbps |\n| BTSpeakthroughput | 20Mbps |","| SLC1airitmebid | 1.4 |\n| --- | --- |\n| SLC2airitmebid | 0.6 |\n| SlicesperAP | 2 |\n| SlicesperBTS | 2 |",1]
["| Parameter | Value |\n| --- | --- |\n| Simulationruns<br>hlineAPs | 1000<br>1 |\n| BTSs | 1 |\n| APpeakthroughput | 36Mbps |\n| BTSpeakthroughput | 20Mbps |","| L1CachelineSize | 32bytes |\n| --- | --- |\n| BMissPenalty2 | 110ns |\n| BMissPenalty1 | 16.25ns |\n| TLBEntries | 64 |\n| CompCostNode | 30ns |\n| W(MemoryBandwidth)1 | 647MB/s |\n| W(NetworkBandwidth)2 | 138MB/s |",0]
["| Dataset | Size | Dimensions | Classes |\n| --- | --- | --- | --- |\n| COIL-20 | 1,440 | 1,024 | 20 |\n| PenDigits | 7,494 | 16 | 10 |","| USPS | 9,298 | 256 | 10 |\n| --- | --- | --- | --- |\n| MNIST | 70,000 | 784 | 10 |\n| RCV1 | 193,844 | 47,236 | 103 |",1]
["| Dataset | Size | Dimensions | Classes |\n| --- | --- | --- | --- |\n| COIL-20 | 1,440 | 1,024 | 20 |\n| PenDigits | 7,494 | 16 | 10 |","| Dataset | N | K | D | d |\n| --- | --- | --- | --- | --- |\n| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |\n| Yale | 2432 | 38 | 2016 | 9 |\n| COIL-20 | 1440 | 20 | 1024 | 9 |\n| COIL-100 | 7200 | 100 | 1024 | 9 |\n| USPS | 9298 | 10 | 256 | 15 |\n| MNIST-10k | 10000 | 10 | 500 | 3 |",0]
["| Dataset | Size | Dimensions | Classes |\n| --- | --- | --- | --- |\n| COIL-20 | 1,440 | 1,024 | 20 |","| PenDigits | 7,494 | 16 | 10 |\n| --- | --- | --- | --- |\n| USPS | 9,298 | 256 | 10 |\n| MNIST | 70,000 | 784 | 10 |\n| RCV1 | 193,844 | 47,236 | 103 |",1]
["| Dataset | Size | Dimensions | Classes |\n| --- | --- | --- | --- |\n| COIL-20 | 1,440 | 1,024 | 20 |","| COIL-20 | 1440 | 20 | 1024 | 9 |\n| --- | --- | --- | --- | --- |\n| COIL-100 | 7200 | 100 | 1024 | 9 |\n| USPS | 9298 | 10 | 256 | 15 |\n| MNIST-10k | 10000 | 10 | 500 | 3 |",0]
["| 7.1 | 6.3 | 4.2 | 6.2 | 3.1 | 2.6 | 4.9 | 6.8 | 2.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.3 | 5.5 | 9.9 | 12.2 | 132.8 | 2.8 | 4.9 | 6.5 | 2.6 |\n| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |","| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 |",1]
["| 7.1 | 6.3 | 4.2 | 6.2 | 3.1 | 2.6 | 4.9 | 6.8 | 2.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.3 | 5.5 | 9.9 | 12.2 | 132.8 | 2.8 | 4.9 | 6.5 | 2.6 |\n| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |","| 20.6 | 18.0 | 10.8 | 16.0 | 8.3 | 7.1 | 14.1 | 18.1 | 6.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18.0 | 6.8 | 21.2 | 26.5 | 193.7 | 7.9 | 13.3 | 18.1 | 6.8 |\n| 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 |\n| 14.4 | 13.6 | 14.7 | 20.2 | 17.7 | 6.5 | 9.7 | 14.4 | 5.8 |\n| 19.1 | 17.1 | 15.4 | 20.7 | 18.6 | 7.1 | 15.7 | 22.3 | 6.7 |",0]
["| 7.1 | 6.3 | 4.2 | 6.2 | 3.1 | 2.6 | 4.9 | 6.8 | 2.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.3 | 5.5 | 9.9 | 12.2 | 132.8 | 2.8 | 4.9 | 6.5 | 2.6 |\n| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |","| 6.0 | 5.6 | 7.6 | 9.8 | 11.4 | 2.5 | 5.1 | 7.3 | 2.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10.8 | 12.2 | 6.6 | 10.0 | 4.3 | 4.4 | 8.2 | 11.0 | 4.3 |",1]
["| 7.1 | 6.3 | 4.2 | 6.2 | 3.1 | 2.6 | 4.9 | 6.8 | 2.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.3 | 5.5 | 9.9 | 12.2 | 132.8 | 2.8 | 4.9 | 6.5 | 2.6 |\n| 5.4 | 5.0 | 4.1 | 6.0 | 3.5 | 2.7 | 4.0 | 5.4 | 2.5 |\n| 5.1 | 5.0 | 4.5 | 6.7 | 3.8 | 2.5 | 3.5 | 5.4 | 2.2 |","| 15.1 | 14.0 | 10.7 | 15.8 | 9.2 | 6.8 | 11.1 | 14.2 | 6.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 14.4 | 13.6 | 14.7 | 20.2 | 17.7 | 6.5 | 9.7 | 14.4 | 5.8 |\n| 19.1 | 17.1 | 15.4 | 20.7 | 18.6 | 7.1 | 15.7 | 22.3 | 6.7 |",0]
["| Foresttoagri. | Agri.toforest | Agri.tobuilt-up |\n| --- | --- | --- |\n| conv-128 | conv-128 | conv-256 |\n| spatialweight |  |  |\n| maxpooling |  |  |\n| conv-256 | conv-256 | conv-512 |\n| spatialweight |  |  |\n| maxpooling |  |  |\n| conv-512 | conv-512 | conv-1024 |","| spatialweight |  |  |\n| --- | --- | --- |\n| conv-1024 | conv-1024 | conv-2048 |\n| spatialweight |  |  |\n| globalaveragepooling |  |  |\n| dense-1036<br>dense-400<br>dense-80<br>dense-7 | dense-1036<br>dense-400<br>dense-80<br>dense-7 | dense-2048<br>dense-800<br>dense-300<br>dense-120<br>dense-60 |\n| Sigmoid |  |  |",1]
["| Foresttoagri. | Agri.toforest | Agri.tobuilt-up |\n| --- | --- | --- |\n| conv-128 | conv-128 | conv-256 |\n| spatialweight |  |  |\n| maxpooling |  |  |\n| conv-256 | conv-256 | conv-512 |\n| spatialweight |  |  |\n| maxpooling |  |  |\n| conv-512 | conv-512 | conv-1024 |","| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |\n| --- | --- | --- | --- | --- | --- | --- |\n| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |\n| SPoC | 256 | 53.1 | 50.1 | - | - | - |\n| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |\n| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |\n| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |\n| Ngetal | 128 | 59.3 | - | - | 59.0 | - |\n| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |\n| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |\n| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |",0]
["| Foresttoagri. | Agri.toforest | Agri.tobuilt-up |\n| --- | --- | --- |\n| conv-128 | conv-128 | conv-256 |\n| spatialweight |  |  |\n| maxpooling |  |  |\n| conv-256 | conv-256 | conv-512 |\n| spatialweight |  |  |\n| maxpooling |  |  |","| conv-512 | conv-512 | conv-1024 |\n| --- | --- | --- |\n| spatialweight |  |  |\n| conv-1024 | conv-1024 | conv-2048 |\n| spatialweight |  |  |\n| globalaveragepooling |  |  |\n| dense-1036<br>dense-400<br>dense-80<br>dense-7 | dense-1036<br>dense-400<br>dense-80<br>dense-7 | dense-2048<br>dense-800<br>dense-300<br>dense-120<br>dense-60 |\n| Sigmoid |  |  |",1]
["| Foresttoagri. | Agri.toforest | Agri.tobuilt-up |\n| --- | --- | --- |\n| conv-128 | conv-128 | conv-256 |\n| spatialweight |  |  |\n| maxpooling |  |  |\n| conv-256 | conv-256 | conv-512 |\n| spatialweight |  |  |\n| maxpooling |  |  |","| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| Ngetal | 128 | 59.3 | - | - | 59.0 | - |\n| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |\n| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |\n| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |",0]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| Frequency | 33.2 | 35.0 | 33.4 | 32.4 |\n| WA | 47.3 | 50.6 | 54.3 | 53.4 |\n| nBOW | 40.3 | 43.5 | 48.7 | 47.8 |","| WMD | 41.2 | 44.0 | 49.3 | 48.5 |\n| --- | --- | --- | --- | --- |\n| FS | 18.9 | 22.0 | 25.2 | 24.3 |",1]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| Frequency | 33.2 | 35.0 | 33.4 | 32.4 |\n| WA | 47.3 | 50.6 | 54.3 | 53.4 |\n| nBOW | 40.3 | 43.5 | 48.7 | 47.8 |","|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |\n| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| Frequency | 33.2 | 35.0 | 33.4 | 32.4 |\n| WA | 47.3 | 50.6 | 54.3 | 53.4 |","| nBOW | 40.3 | 43.5 | 48.7 | 47.8 |\n| --- | --- | --- | --- | --- |\n| WMD | 41.2 | 44.0 | 49.3 | 48.5 |\n| FS | 18.9 | 22.0 | 25.2 | 24.3 |",1]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| Frequency | 33.2 | 35.0 | 33.4 | 32.4 |\n| WA | 47.3 | 50.6 | 54.3 | 53.4 |","| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| --- | --- | --- | --- | --- |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["| LCSeg |  |  |  |\n| --- | --- | --- | --- |\n| Sampling | R-1 | R-2 | R-1 |\n| Weight<br>Resampling<br>SMOTE | 0.660<br>0.666<br>0.673 | 0.141<br>0.142<br>0.145 | 0.663<br>0.674<br>0.675 |","| Weight<br>Resampling<br>SMOTE | 0.679<br>0.705<br>0.694 | 0.147<br>0.158<br>0.152 | 0.702<br>0.703<br>0.695 |\n| --- | --- | --- | --- |\n| Weight<br>Resampling<br>SMOTE | 0.490<br>0.563<br>0.525 | 0.114<br>0.143<br>0.123 | 0.473<br>0.556<br>0.567 |",1]
["| LCSeg |  |  |  |\n| --- | --- | --- | --- |\n| Sampling | R-1 | R-2 | R-1 |\n| Weight<br>Resampling<br>SMOTE | 0.660<br>0.666<br>0.673 | 0.141<br>0.142<br>0.145 | 0.663<br>0.674<br>0.675 |","| LCSeg |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sampling | Pre | Rec | F | Pre | Rec |\n| Weight<br>Resampling<br>SMOTE | 0.792<br>0.796<br>0.831 | 0.787<br>0.790<br>0.804 | 0.786<br>0.789<br>0.811 | 0.788<br>0.791<br>0.830 | 0.784<br>0.787<br>0.807 |\n| Weight<br>Resampling<br>SMOTE | 0.726<br>0.892<br>0.817 | 0.722<br>0.889<br>0.821 | 0.721<br>0.888<br>0.819 | 0.730<br>0.880<br>0.817 | 0.727<br>0.877<br>0.820 |\n| Weight<br>Resampling<br>SMOTE | 0.623<br>0.752<br>0.660 | 0.591<br>0.741<br>0.694 | 0.563<br>0.739<br>0.667 | 0.601<br>0.690<br>0.691 | 0.584<br>0.689<br>0.711 |",0]
["| LCSeg |  |  |  |\n| --- | --- | --- | --- |\n| Sampling | R-1 | R-2 | R-1 |\n| Weight<br>Resampling<br>SMOTE | 0.660<br>0.666<br>0.673 | 0.141<br>0.142<br>0.145 | 0.663<br>0.674<br>0.675 |","| Weight<br>Resampling<br>SMOTE | 0.679<br>0.705<br>0.694 | 0.147<br>0.158<br>0.152 | 0.702<br>0.703<br>0.695 |\n| --- | --- | --- | --- |\n| Weight<br>Resampling<br>SMOTE | 0.490<br>0.563<br>0.525 | 0.114<br>0.143<br>0.123 | 0.473<br>0.556<br>0.567 |",1]
["| LCSeg |  |  |  |\n| --- | --- | --- | --- |\n| Sampling | R-1 | R-2 | R-1 |\n| Weight<br>Resampling<br>SMOTE | 0.660<br>0.666<br>0.673 | 0.141<br>0.142<br>0.145 | 0.663<br>0.674<br>0.675 |","| Weight<br>Resampling<br>SMOTE | 0.726<br>0.892<br>0.817 | 0.722<br>0.889<br>0.821 | 0.721<br>0.888<br>0.819 | 0.730<br>0.880<br>0.817 | 0.727<br>0.877<br>0.820 |\n| --- | --- | --- | --- | --- | --- |\n| Weight<br>Resampling<br>SMOTE | 0.623<br>0.752<br>0.660 | 0.591<br>0.741<br>0.694 | 0.563<br>0.739<br>0.667 | 0.601<br>0.690<br>0.691 | 0.584<br>0.689<br>0.711 |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {10} | {35} | {35} | {10} |","| 2 | {10,25} | {10,25} | {25,35} | {10,25} |\n| --- | --- | --- | --- | --- |\n| 3 | {10,25,39} | {10,25,39} | {10,25,35} | {10,25,39} |\n| 4 | {10,17,25,39},...(87) | {10,17,25,39},...(87) | {10,17,25,35} | {10,17,25,39} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {10} | {35} | {35} | {10} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29} | {9} | {9} | {29} |\n| 2 | {26,29} | {26,29} | {9,29} | {26,29} |\n| 3 | {10,12,26} | {10,12,26} | {9,26,29} | {10,12,26} |\n| 4 | {10,12,26,32},...(4) | {10,12,24,26},...(4) | {10,12,26,29} | {10,12,26,29} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {10} | {35} | {35} | {10} |","| 2 | {10,25} | {10,25} | {25,35} | {10,25} |\n| --- | --- | --- | --- | --- |\n| 3 | {10,25,39} | {10,25,39} | {10,25,35} | {10,25,39} |\n| 4 | {10,17,25,39},...(87) | {10,17,25,39},...(87) | {10,17,25,35} | {10,17,25,39} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {10} | {35} | {35} | {10} |","| 3 | {10,12,26} | {10,12,26} | {9,26,29} | {10,12,26} |\n| --- | --- | --- | --- | --- |\n| 4 | {10,12,26,32},...(4) | {10,12,24,26},...(4) | {10,12,26,29} | {10,12,26,29} |",0]
["| Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |\n| --- | --- | --- | --- |\n| Ours | 1 | 6.71 | 1.79 |\n| Ours | 2 | 6.74 | 1.73 |\n| Ours | 4 | 6.82 | 1.81 |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |","| Slow | 4 | 6.38 | 1.39 |\n| --- | --- | --- | --- |\n| VAE | 1 | 1.08 | 1.27 |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",1]
["| Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |\n| --- | --- | --- | --- |\n| Ours | 1 | 6.71 | 1.79 |\n| Ours | 2 | 6.74 | 1.73 |\n| Ours | 4 | 6.82 | 1.81 |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |","| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["| Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |\n| --- | --- | --- | --- |\n| Ours | 1 | 6.71 | 1.79 |\n| Ours | 2 | 6.74 | 1.73 |","| Ours | 4 | 6.82 | 1.81 |\n| --- | --- | --- | --- |\n| Slow | 1 | 4.70 | 1.19 |\n| Slow | 2 | 5.78 | 1.57 |\n| Slow | 4 | 6.38 | 1.39 |\n| VAE | 1 | 1.08 | 1.27 |\n| VAE | 2 | 1.70 | 1.24 |\n| VAE | 4 | 1.71 | 1.35 |",1]
["| Model | KL-weight | D-ScoreMNIST | D-ScoreChairs |\n| --- | --- | --- | --- |\n| Ours | 1 | 6.71 | 1.79 |\n| Ours | 2 | 6.74 | 1.73 |","| Ours | 2 | 0.88 | 0.64 |\n| --- | --- | --- | --- |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["| Entity/Calculations | Buyer | Seller |\n| --- | --- | --- |\n| Exponentiation | 1+log(p) | p |\n| Division | log(p) | 0 |","| Signing | 0 | log(p) |\n| --- | --- | --- |\n| Total | 1+2log(p) | p+log(p) |",1]
["| Entity/Calculations | Buyer | Seller |\n| --- | --- | --- |\n| Exponentiation | 1+log(p) | p |\n| Division | log(p) | 0 |","| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 129 | 32 |\n| with12-hourobservationbaseline2 | 129 | 245 |\n| with12-hourobservationSP | 129 | 110 |\n| Model | Realpurchases | Predictedpurchases |\n| with12-hourobservationbaseline1 | 75 | 28 |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",0]
["| Entity/Calculations | Buyer | Seller |\n| --- | --- | --- |\n| Exponentiation | 1+log(p) | p |","| Division | log(p) | 0 |\n| --- | --- | --- |\n| Signing | 0 | log(p) |\n| Total | 1+2log(p) | p+log(p) |",1]
["| Entity/Calculations | Buyer | Seller |\n| --- | --- | --- |\n| Exponentiation | 1+log(p) | p |","| with12-hourobservationbaseline1 | 75 | 28 |\n| --- | --- | --- |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",0]
["|  | HR | s=3 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 |  |  |\n| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |\n| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |\n| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |\n|  | HR | s=6 |  |  |  |  |  |  |\n| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 |  |  |\n| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |\n| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |\n| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |","|  | HR | s=12 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 |  |  |\n| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |\n| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |\n| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 |",1]
["|  | HR | s=3 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 |  |  |\n| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |\n| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |\n| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |\n|  | HR | s=6 |  |  |  |  |  |  |\n| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 |  |  |\n| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |\n| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |\n| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |","|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["|  | HR | s=3 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 |  |  |\n| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |\n| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |\n| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |\n|  | HR | s=6 |  |  |  |  |  |  |\n| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 |  |  |","| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |\n| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |\n|  | HR | s=12 |  |  |  |  |  |  |\n| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 |  |  |\n| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |\n| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |\n| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 |",1]
["|  | HR | s=3 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 |  |  |\n| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |\n| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |\n| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |\n|  | HR | s=6 |  |  |  |  |  |  |\n| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 |  |  |","| ωsw | 5 | 5 | 5 | 5 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["| Method | mAP |\n| --- | --- |\n| HoG | 0.584 |","| Loci | 0.419 |\n| --- | --- |\n| Graph-based | 0.565 |\n| FFT | 0.771 |\n| ProposedRLF | 0.783 |",1]
["| Method | mAP |\n| --- | --- |\n| HoG | 0.584 |","| Method | mAP |\n| --- | --- |\n| SIFT | 0.115 |\n| SURF | 0.106 |\n| BRISK | 0.035 |\n| ORB | 0.098 |\n| KAZE | 0.283 |\n| DoLF | 0.517 |\n| ProposedRLF | 0.490 |",0]
["| Method | mAP |\n| --- | --- |\n| HoG | 0.584 |","| Loci | 0.419 |\n| --- | --- |\n| Graph-based | 0.565 |\n| FFT | 0.771 |\n| ProposedRLF | 0.783 |",1]
["| Method | mAP |\n| --- | --- |\n| HoG | 0.584 |","| SURF | 0.106 |\n| --- | --- |\n| BRISK | 0.035 |\n| ORB | 0.098 |\n| KAZE | 0.283 |\n| DoLF | 0.517 |\n| ProposedRLF | 0.490 |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) |","|  |  |  |  | conv(32,40)<br>conv(40,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>conv(40,40)<br>maxpool(2) |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  | conv(40,48)<br>conv(48,48)<br>conv(48,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) |","| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48)<br>conv(48,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) |","|  |  |  |  | conv(32,40)<br>conv(40,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>conv(40,40)<br>maxpool(2) |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  | conv(40,48)<br>conv(48,48)<br>conv(48,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) |","|  |  |  |  |  | conv(40,48)<br>conv(48,48) |\n| --- | --- | --- | --- | --- | --- |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",0]
["| Breakout(724frames) | Enduro(2914frames) | Phoenix(575frames) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | NSS | ROC | NSS | ROC | NSS | ROC |","| Softattention | 1.326 | 0.787 | 0.699 | 0.689 | 0.187 | 0.529 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GBVS | -0.074 | 0.489 | -0.083 | 0.578 | -0.143 | 0.485 |\n| Itti-Koch | -0.112 | 0.453 | -0.048 | 0.593 | 0.267 | 0.599 |",1]
["| Breakout(724frames) | Enduro(2914frames) | Phoenix(575frames) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | NSS | ROC | NSS | ROC | NSS | ROC |","| Model | AUC-ROC | AUC-PR | Speciﬁcity | Sensitivity | PPV | Accuracy |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |\n| 10-day | 0.7339 | 0.6884 | 0.3077 | 1.0 | 1.0 | 0.820 |\n| 15-day | 0.7710 | 0.5808 | 0.3333 | 0.9009 | 0.5417 | 0.7533 |\n| 20-day | 0.7533 | 0.6880 | 0.5385 | 0.9820 | 0.9130 | 0.8667 |",0]
["| Breakout(724frames) | Enduro(2914frames) | Phoenix(575frames) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | NSS | ROC | NSS | ROC | NSS | ROC |","| Softattention | 1.326 | 0.787 | 0.699 | 0.689 | 0.187 | 0.529 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GBVS | -0.074 | 0.489 | -0.083 | 0.578 | -0.143 | 0.485 |\n| Itti-Koch | -0.112 | 0.453 | -0.048 | 0.593 | 0.267 | 0.599 |",1]
["| Breakout(724frames) | Enduro(2914frames) | Phoenix(575frames) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | NSS | ROC | NSS | ROC | NSS | ROC |","| 15-day | 0.7710 | 0.5808 | 0.3333 | 0.9009 | 0.5417 | 0.7533 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20-day | 0.7533 | 0.6880 | 0.5385 | 0.9820 | 0.9130 | 0.8667 |",0]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 13.0 | 30.8 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| ∗<br>0.0A0 | 13.3 | 31.7 | 44.5 | 32.0 | 25.1 | 54.4 | 54.8 | 34.4 |\n| 0.4A0 | 12.5 | 30.5 | 42.2 | 31.0 | 23.0 | 52.9 | 53.9 | 33.0 |","| 1.0A0 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.0A2 | 14.8 | 31.7 | 46.3 | 31.6 | 27.5 | 54.3 | 54.8 | 35.1 |\n| 0.4A2 | 12.2 | 30.7 | 42.0 | 31.1 | 22.5 | 53.1 | 54.4 | 33.0 |\n| 1.0A2 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |",1]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 13.0 | 30.8 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| ∗<br>0.0A0 | 13.3 | 31.7 | 44.5 | 32.0 | 25.1 | 54.4 | 54.8 | 34.4 |\n| 0.4A0 | 12.5 | 30.5 | 42.2 | 31.0 | 23.0 | 52.9 | 53.9 | 33.0 |","| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 14.5 | 32.5 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| ∗<br>0.0A0 | 14.6 | 32.9 | 44.6 | 33.1 | 26.3 | 54.4 | 56.9 | 35.4 |\n| 0.4A0 | 14.1 | 32.2 | 44.4 | 33.0 | 25.0 | 54.2 | 56.1 | 34.9 |\n| 1.0A0 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| 0.0A2 | 13.7 | 32.4 | 44.7 | 32.9 | 26.1 | 54.3 | 56.3 | 35.0 |\n| 0.4A2 | 13.4 | 32.2 | 44.1 | 31.9 | 25.3 | 54.2 | 56.2 | 34.7 |\n| 1.0A2 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |",0]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 13.0 | 30.8 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| ∗<br>0.0A0 | 13.3 | 31.7 | 44.5 | 32.0 | 25.1 | 54.4 | 54.8 | 34.4 |","| 0.4A0 | 12.5 | 30.5 | 42.2 | 31.0 | 23.0 | 52.9 | 53.9 | 33.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0A0 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| 0.0A2 | 14.8 | 31.7 | 46.3 | 31.6 | 27.5 | 54.3 | 54.8 | 35.1 |\n| 0.4A2 | 12.2 | 30.7 | 42.0 | 31.1 | 22.5 | 53.1 | 54.4 | 33.0 |\n| 1.0A2 | 12.9 | 30.7 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |",1]
["| λDecoderSLMiteration | F0 | F1 | F2 | F3 | F4 | F5 | FX | overall |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0Viterbi | 13.0 | 30.8 | 42.1 | 31.0 | 22.8 | 52.3 | 53.9 | 33.1 |\n| ∗<br>0.0A0 | 13.3 | 31.7 | 44.5 | 32.0 | 25.1 | 54.4 | 54.8 | 34.4 |","| 0.4A0 | 14.1 | 32.2 | 44.4 | 33.0 | 25.0 | 54.2 | 56.1 | 34.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.0A0 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |\n| 0.0A2 | 13.7 | 32.4 | 44.7 | 32.9 | 26.1 | 54.3 | 56.3 | 35.0 |\n| 0.4A2 | 13.4 | 32.2 | 44.1 | 31.9 | 25.3 | 54.2 | 56.2 | 34.7 |\n| 1.0A2 | 14.5 | 32.4 | 44.9 | 33.3 | 25.7 | 54.9 | 56.1 | 35.2 |",0]
["| Architecture | Dice |\n| --- | --- |\n| Blacktop-hat+CC | 0.77 |\n| Blacktop-hat | 0.85 |","| U-Net | 0.92 |\n| --- | --- |\n| U-Net+CC | 0.89 |\n| SiameseU-Net | 0.95 |\n| SiameseU-Net+CC | 0.98 |",1]
["| Architecture | Dice |\n| --- | --- |\n| Blacktop-hat+CC | 0.77 |\n| Blacktop-hat | 0.85 |","| Architecture | Catheter | Vessels |\n| --- | --- | --- |\n| U-Net | 0.49 | 0.30 |\n| U-Net+CC | 0.44 | 0.36 |\n| SiameseU-Net+CC | 0.51 | 0.50 |\n| SiameseU-Net+Augm1 | 0.61 | 0.49 |\n| SiameseU-Net+Augm2 | 0.69 | 0.54 |",0]
["| Architecture | Dice |\n| --- | --- |\n| Blacktop-hat+CC | 0.77 |\n| Blacktop-hat | 0.85 |\n| U-Net | 0.92 |","| U-Net+CC | 0.89 |\n| --- | --- |\n| SiameseU-Net | 0.95 |\n| SiameseU-Net+CC | 0.98 |",1]
["| Architecture | Dice |\n| --- | --- |\n| Blacktop-hat+CC | 0.77 |\n| Blacktop-hat | 0.85 |\n| U-Net | 0.92 |","| SiameseU-Net+Augm1 | 0.61 | 0.49 |\n| --- | --- | --- |\n| SiameseU-Net+Augm2 | 0.69 | 0.54 |",0]
["| System+Band | Abbr. | Date | SpatialResolution | Dimensions |\n| --- | --- | --- | --- | --- |\n| RADARSAT-2C | SF-L | Apr2008 | 8(m) | 1380×1800 |\n| RADARSAT-2C | Flevo-C | Apr2008 | 8(m) | 1024×900 |","| AIRSARL | SF-L | Aug1989 | 10(m) | 1635×2375 |\n| --- | --- | --- | --- | --- |\n| AIRSARL | Flevo-L | Aug1989 | 10(m) | 1024×750 |",1]
["| System+Band | Abbr. | Date | SpatialResolution | Dimensions |\n| --- | --- | --- | --- | --- |\n| RADARSAT-2C | SF-L | Apr2008 | 8(m) | 1380×1800 |\n| RADARSAT-2C | Flevo-C | Apr2008 | 8(m) | 1024×900 |","| Block<br>Size | Freq(GHz) | Area(GE) |\n| --- | --- | --- |\n| TG | TG |  |\n| 1 | 3.84 | 28101772 |\n| 4 | 3.42.7 | 29552471 |\n| 8 | 3.62.3 | 37633575 |\n| 16 | 3.61.7 | 38415768 |",0]
["| System+Band | Abbr. | Date | SpatialResolution | Dimensions |\n| --- | --- | --- | --- | --- |\n| RADARSAT-2C | SF-L | Apr2008 | 8(m) | 1380×1800 |","| RADARSAT-2C | Flevo-C | Apr2008 | 8(m) | 1024×900 |\n| --- | --- | --- | --- | --- |\n| AIRSARL | SF-L | Aug1989 | 10(m) | 1635×2375 |\n| AIRSARL | Flevo-L | Aug1989 | 10(m) | 1024×750 |",1]
["| System+Band | Abbr. | Date | SpatialResolution | Dimensions |\n| --- | --- | --- | --- | --- |\n| RADARSAT-2C | SF-L | Apr2008 | 8(m) | 1380×1800 |","| 8 | 3.62.3 | 37633575 |\n| --- | --- | --- |\n| 16 | 3.61.7 | 38415768 |",0]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 200 | 9k,1k,10k | 0.9362,0.8732,0.8731 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.3967,0.1884,0.1883 |\n| 100 | 128 | 200 | 135k,15k,10k | 0.9690,0.9613,0.9623 |","| 100 | 256 | 81 | 135k,150k,10k | 0.9904,0.9784,0.9787 |\n| --- | --- | --- | --- | --- |\n| 1000 | 256 | 133 | 135k,15k,10k | 0.9410,0.9151,0.9155 |",1]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 200 | 9k,1k,10k | 0.9362,0.8732,0.8731 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.3967,0.1884,0.1883 |\n| 100 | 128 | 200 | 135k,15k,10k | 0.9690,0.9613,0.9623 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |\n| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |\n| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 200 | 9k,1k,10k | 0.9362,0.8732,0.8731 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.3967,0.1884,0.1883 |","| 100 | 128 | 200 | 135k,15k,10k | 0.9690,0.9613,0.9623 |\n| --- | --- | --- | --- | --- |\n| 100 | 256 | 81 | 135k,150k,10k | 0.9904,0.9784,0.9787 |\n| 1000 | 256 | 133 | 135k,15k,10k | 0.9410,0.9151,0.9155 |",1]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 200 | 9k,1k,10k | 0.9362,0.8732,0.8731 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.3967,0.1884,0.1883 |","| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| --- | --- | --- | --- | --- |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["| PSNR |\n| --- |\n| 28.59 |\n| 30.14 |","| 29.25 |\n| --- |\n| 30.88 |\n| 30.60 |\n| 31.57 |",1]
["| PSNR |\n| --- |\n| 28.59 |\n| 30.14 |","|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| PSNR |\n| --- |\n| 28.59 |\n| 30.14 |","| 29.25 |\n| --- |\n| 30.88 |\n| 30.60 |\n| 31.57 |",1]
["| PSNR |\n| --- |\n| 28.59 |\n| 30.14 |","| 200 | 27.82 | 0.0761 | 20 | 20.4 |\n| --- | --- | --- | --- | --- |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |",0]
["|  | Max | Ave | Min |\n| --- | --- | --- | --- |\n| Numberofnodes | 43,545 | 41,978 | 40,445 |\n| Numberofedges | 84,451 | 82,790 | 80,923 |\n| Diameter | 13 | 11 | 9 |","| Averageshortestpathlength | 8.31 | 5.97 | 4.71 |\n| --- | --- | --- | --- |\n| Numberofclusters | 223 | 148 | 103 |",1]
["|  | Max | Ave | Min |\n| --- | --- | --- | --- |\n| Numberofnodes | 43,545 | 41,978 | 40,445 |\n| Numberofedges | 84,451 | 82,790 | 80,923 |\n| Diameter | 13 | 11 | 9 |","| Size | Diameter | Average | Median | Localest. | Nr.ofconf. |\n| --- | --- | --- | --- | --- | --- |\n| 1×1 | 4 | 2.17 | 2 | 9 | 24 |\n| 2×1 | 7 | 4.44 | 5 | 18 | 576 |\n| 3×1 | 10 | 6.59 | 7 | 27 | 13824 |\n| 4×1 | 12 | 8.59 | 9 | 36 | 331776 |\n| 2×2 | 12 | 7.82 | 8 | 35 | 16588 |\n| 5×1 | 15 | 10.69 | 11 | 45 | 7962624 |\n| 6×1 | 17 | 12.65 | 13 | 54 | 191102976 |\n| 3×2 | 14 | 10.54 | 11 | 52 | 47775744 |",0]
["|  | Max | Ave | Min |\n| --- | --- | --- | --- |\n| Numberofnodes | 43,545 | 41,978 | 40,445 |\n| Numberofedges | 84,451 | 82,790 | 80,923 |","| Diameter | 13 | 11 | 9 |\n| --- | --- | --- | --- |\n| Averageshortestpathlength | 8.31 | 5.97 | 4.71 |\n| Numberofclusters | 223 | 148 | 103 |",1]
["|  | Max | Ave | Min |\n| --- | --- | --- | --- |\n| Numberofnodes | 43,545 | 41,978 | 40,445 |\n| Numberofedges | 84,451 | 82,790 | 80,923 |","| 3×1 | 10 | 6.59 | 7 | 27 | 13824 |\n| --- | --- | --- | --- | --- | --- |\n| 4×1 | 12 | 8.59 | 9 | 36 | 331776 |\n| 2×2 | 12 | 7.82 | 8 | 35 | 16588 |\n| 5×1 | 15 | 10.69 | 11 | 45 | 7962624 |\n| 6×1 | 17 | 12.65 | 13 | 54 | 191102976 |\n| 3×2 | 14 | 10.54 | 11 | 52 | 47775744 |",0]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| Centroid | .297 | .039 | .081 | .279 | .031 | .087 |\n| GMDS | .286 | .044 | .088 | .288 | .033 | .081 |\n| Chieu | .335 | .056 | .115 | .313 | .048 | .119 |\n| ETTS | .340 | .054 | .120 | .327 | .044 | .120 |\n| Random | .227 | .031 | .071 | .213 | .028 | .068 |","|  | AmericanElection | ArabSpring |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .157 |\n| Centriod | .285 | .038 | .094 | .332 | .048 | .098 |\n| GMS | .306 | .044 | .095 | .341 | .054 | .109 |\n| Chieu | .353 | .058 | .112 | .366 | .076 | .124 |\n| ETTS | .359 | .062 | .117 | .379 | .075 | .132 |\n| Random | .224 | .027 | .070 | .230 | .035 | .076 |",1]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| Centroid | .297 | .039 | .081 | .279 | .031 | .087 |\n| GMDS | .286 | .044 | .088 | .288 | .033 | .081 |\n| Chieu | .335 | .056 | .115 | .313 | .048 | .119 |\n| ETTS | .340 | .054 | .120 | .327 | .044 | .120 |\n| Random | .227 | .031 | .071 | .213 | .028 | .068 |","|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| (noBG) | .373 | .074 | .132 | .342 | .058 | .130 |\n| HDT | .362 | .065 | .131 | .337 | .052 | .122 |\n| t-HDP | .360 | .064 | .128 | .338 | .053 | .113 |\n| HDP | .348 | .055 | .114 | .323 | .050 | .108 |\n| D-LDA | .358 | .060 | .120 | .330 | .048 | .111 |\n| LDA | .334 | .046 | .110 | .319 | .050 | .107 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .158 |\n| (noBG) | .376 | .070 | .128 | .431 | .089 | .159 |\n| HDT | .373 | .068 | .124 | .426 | .086 | .151 |\n| t-HDP | .366 | .068 | .121 | .410 | .080 | .138 |\n| HDP | .361 | .062 | .114 | .398 | .073 | .132 |\n| D-LDA | .368 | .070 | .120 | .413 | .078 | .135 |\n| LDA | .352 | .062 | .110 | .392 | .072 | .126 |",0]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |","| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| Centroid | .297 | .039 | .081 | .279 | .031 | .087 |\n| GMDS | .286 | .044 | .088 | .288 | .033 | .081 |\n| Chieu | .335 | .056 | .115 | .313 | .048 | .119 |\n| ETTS | .340 | .054 | .120 | .327 | .044 | .120 |\n| Random | .227 | .031 | .071 | .213 | .028 | .068 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .157 |\n| Centriod | .285 | .038 | .094 | .332 | .048 | .098 |\n| GMS | .306 | .044 | .095 | .341 | .054 | .109 |\n| Chieu | .353 | .058 | .112 | .366 | .076 | .124 |\n| ETTS | .359 | .062 | .117 | .379 | .075 | .132 |\n| Random | .224 | .027 | .070 | .230 | .035 | .076 |",1]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |","| (noBG) | .373 | .074 | .132 | .342 | .058 | .130 |\n| --- | --- | --- | --- | --- | --- | --- |\n| HDT | .362 | .065 | .131 | .337 | .052 | .122 |\n| t-HDP | .360 | .064 | .128 | .338 | .053 | .113 |\n| HDP | .348 | .055 | .114 | .323 | .050 | .108 |\n| D-LDA | .358 | .060 | .120 | .330 | .048 | .111 |\n| LDA | .334 | .046 | .110 | .319 | .050 | .107 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .158 |\n| (noBG) | .376 | .070 | .128 | .431 | .089 | .159 |\n| HDT | .373 | .068 | .124 | .426 | .086 | .151 |\n| t-HDP | .366 | .068 | .121 | .410 | .080 | .138 |\n| HDP | .361 | .062 | .114 | .398 | .073 | .132 |\n| D-LDA | .368 | .070 | .120 | .413 | .078 | .135 |\n| LDA | .352 | .062 | .110 | .392 | .072 | .126 |",0]
["| #Methods |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |","| englishdailabor | 49.90 | 65.68 | 68.26 | 66.38 | 67.09 | 68.68 | 66.70 | 69.68 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| aisoposntua | 41.90 | 59.21 | 57.78 | 61.56 | 59.99 | 58.13 | 59.78 | 65.21 |\n| tweetsemevaltest | 39.54 | 56.31 | 61.51 | 61.65 | 62.06 | 62.94 | 62.26 | 62.64 |\n| sentistrengthtwitter | 36.26 | 49.24 | 56.20 | 57.88 | 57.91 | 57.96 | 57.50 | 58.68 |\n| sentistrengthyoutube | 38.14 | 50.01 | 54.98 | 56.56 | 57.13 | 55.83 | 55.45 | 56.93 |\n| sentistrengthmyspace | 26.88 | 44.94 | 47.37 | 53.04 | 52.91 | 51.53 | 46.99 | 55.00 |\n| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |\n| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |\n| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |\n| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |\n| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |\n| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",1]
["| #Methods |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |","| #Concordants |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |\n| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |\n| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |\n| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |\n| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |\n| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |\n| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |\n| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |\n| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |\n| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |\n| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |\n| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",0]
["| #Methods |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 49.90 | 65.68 | 68.26 | 66.38 | 67.09 | 68.68 | 66.70 | 69.68 |\n| aisoposntua | 41.90 | 59.21 | 57.78 | 61.56 | 59.99 | 58.13 | 59.78 | 65.21 |\n| tweetsemevaltest | 39.54 | 56.31 | 61.51 | 61.65 | 62.06 | 62.94 | 62.26 | 62.64 |","| sentistrengthtwitter | 36.26 | 49.24 | 56.20 | 57.88 | 57.91 | 57.96 | 57.50 | 58.68 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| sentistrengthyoutube | 38.14 | 50.01 | 54.98 | 56.56 | 57.13 | 55.83 | 55.45 | 56.93 |\n| sentistrengthmyspace | 26.88 | 44.94 | 47.37 | 53.04 | 52.91 | 51.53 | 46.99 | 55.00 |\n| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |\n| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |\n| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |\n| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |\n| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |\n| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",1]
["| #Methods |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 49.90 | 65.68 | 68.26 | 66.38 | 67.09 | 68.68 | 66.70 | 69.68 |\n| aisoposntua | 41.90 | 59.21 | 57.78 | 61.56 | 59.99 | 58.13 | 59.78 | 65.21 |\n| tweetsemevaltest | 39.54 | 56.31 | 61.51 | 61.65 | 62.06 | 62.94 | 62.26 | 62.64 |","| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |\n| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",0]
["| Dataset | #Nodes | #Edges | Ave.degree |\n| --- | --- | --- | --- |\n| Facebook | 4,039 | 88,234 | 43.69 |","| Enron | 33,696 | 180,811 | 10.73 |\n| --- | --- | --- | --- |\n| Epinions | 75,877 | 811,478 | 21.39 |\n| Twitter | 41,652,230 | 1,202,513,046 | 57.74 |",1]
["| Dataset | #Nodes | #Edges | Ave.degree |\n| --- | --- | --- | --- |\n| Facebook | 4,039 | 88,234 | 43.69 |","| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |\n| #Edges | 182,384 | 68,282 | 1,202,513,046 |\n| Ave.degree | 8.29 | 16.72 | 57.74 |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["| Dataset | #Nodes | #Edges | Ave.degree |\n| --- | --- | --- | --- |\n| Facebook | 4,039 | 88,234 | 43.69 |","| Enron | 33,696 | 180,811 | 10.73 |\n| --- | --- | --- | --- |\n| Epinions | 75,877 | 811,478 | 21.39 |\n| Twitter | 41,652,230 | 1,202,513,046 | 57.74 |",1]
["| Dataset | #Nodes | #Edges | Ave.degree |\n| --- | --- | --- | --- |\n| Facebook | 4,039 | 88,234 | 43.69 |","| Ave.degree | 8.29 | 16.72 | 57.74 |\n| --- | --- | --- | --- |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 577 |","| 2 | 580 |\n| --- | --- |\n| 3 | 575 |\n| 4 | 822 |\n| 5 | 702 |\n| 6 | 706 |\n| 7 | 546 |\n| 8 | 578 |\n| 9 | 170 |\n| 10 | 90 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 577 |","| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 3 |\n| 2 | 44 |\n| 3 | 108 |\n| 4 | 5 |\n| 5 | 107 |\n| 6 | 55 |\n| 7 | 110 |\n| 8 | 109 |\n| 9 | 102 |\n| 10 | 39 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 577 |\n| 2 | 580 |\n| 3 | 575 |\n| 4 | 822 |\n| 5 | 702 |\n| 6 | 706 |","| 7 | 546 |\n| --- | --- |\n| 8 | 578 |\n| 9 | 170 |\n| 10 | 90 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 577 |\n| 2 | 580 |\n| 3 | 575 |\n| 4 | 822 |\n| 5 | 702 |\n| 6 | 706 |","| 5 | 107 |\n| --- | --- |\n| 6 | 55 |\n| 7 | 110 |\n| 8 | 109 |\n| 9 | 102 |\n| 10 | 39 |",0]
["| BootstrappingModel | Pearson(r) | Spearman(ρ) | RMSE |\n| --- | --- | --- | --- |\n| GoogleWord2Vec300d | 0.488 | 0.446 | 5.339 |","| GloVe50d | 0.475 | 0.427 | 5.308 |\n| --- | --- | --- | --- |\n| SSWE | 0.494 | 0.445 | 5.182 |\n| ESWE | 0.521 | 0.481 | 5.194 |\n| ECSWE | 0.538 | 0.499 | 5.033 |",1]
["| BootstrappingModel | Pearson(r) | Spearman(ρ) | RMSE |\n| --- | --- | --- | --- |\n| GoogleWord2Vec300d | 0.488 | 0.446 | 5.339 |","| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 5Endmembers | 8Endmembers |  |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1966 | 1 | 0.1521 | 1 |\n| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |\n| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |\n| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |\n| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |\n|  | GBM |  |  |  |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["| BootstrappingModel | Pearson(r) | Spearman(ρ) | RMSE |\n| --- | --- | --- | --- |\n| GoogleWord2Vec300d | 0.488 | 0.446 | 5.339 |\n| GloVe50d | 0.475 | 0.427 | 5.308 |","| SSWE | 0.494 | 0.445 | 5.182 |\n| --- | --- | --- | --- |\n| ESWE | 0.521 | 0.481 | 5.194 |\n| ECSWE | 0.538 | 0.499 | 5.033 |",1]
["| BootstrappingModel | Pearson(r) | Spearman(ρ) | RMSE |\n| --- | --- | --- | --- |\n| GoogleWord2Vec300d | 0.488 | 0.446 | 5.339 |\n| GloVe50d | 0.475 | 0.427 | 5.308 |","| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| --- | --- | --- | --- | --- |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |","| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |\n| --- | --- | --- |\n| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",1]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |","| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 |\n| SimilaritySwitching<br>BayesSwitching | 90.0490.81<br>90.7890.70 | 90.4390.43<br>90.7490.74 |\n| ConstituentVoting<br>Na¨ıveBayes | 92.4290.10<br>92.4290.10 | 91.2691.25<br>91.2691.25 |",0]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |","| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| --- | --- | --- |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",1]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |","| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 |\n| --- | --- | --- |\n| SimilaritySwitching<br>BayesSwitching | 90.0490.81<br>90.7890.70 | 90.4390.43<br>90.7490.74 |\n| ConstituentVoting<br>Na¨ıveBayes | 92.4290.10<br>92.4290.10 | 91.2691.25<br>91.2691.25 |",0]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.10 | OurApproach(α=2) | emergency,research,system | 0.4 | 0.88 |","| q.10 | OurApproach(α=16) | emergency,research,system | 0.4 | 0.88 |\n| --- | --- | --- | --- | --- |\n| q.10 | IntuitiveSolution | emergency,research,system | 0.4 | 0.88 |\n| q.10 | XO-QP(NoDist) | pinch,breakdown,system | 0.6 | 0.94 |\n| q.10 | XO-QP(Dist) | pinch,breakdown,system | 0.6 | 0.94 |\n| q.70 | OurApproach(α=2) | online,content,exchange | 0.1 | 0.52 |\n| q.70 | OurApproach(α=16) | online,faith,merchandising | 0.1 | 1 |\n| q.70 | IntuitiveSolution | online,faith,merchandising | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | online,faith,trading | 1 | 1 |\n| q.70 | XO-QP(Dist) | online,faith,trading | 1 | 1 |\n| q.80 | OurApproach(α=2) | impact,order,analysis,system | 0.1 | 0.69 |\n| q.80 | OurApproach(α=16) | impact,order,analysis,system | 0.1 | 0.69 |\n| q.80 | IntuitiveSolution | wake,variety,analysis,system | 0.1 | 0.94 |\n| q.80 | XO-QP(NoDist) | wake,variety,analysis,system | 1 | 0.94 |\n| q.80 | XO-QP(Dist) | wake,variety,analysis,system | 1 | 0.94 |\n| q.100 | OurApproach(α=2) | whole,study,analysis,system | 0.1 | 0.24 |\n| q.100 | OurApproach(α=16) | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | IntuitiveSolution | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | XO-QP(NoDist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.100 | XO-QP(Dist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.110 | OurApproach(α=2) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | OurApproach(α=16) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | IntuitiveSolution | hint,testing,system | 0.1 | 0.9 |\n| q.110 | XO-QP(NoDist) | hint,search,system | 0.7 | 0.9 |\n| q.110 | XO-QP(Dist) | hint,search,system | 0.7 | 0.9 |",1]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.10 | OurApproach(α=2) | emergency,research,system | 0.4 | 0.88 |","| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.40 | OurApproach(α=2) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | OurApproach(α=16) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | IntuitiveSolution | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | XO-QP(NoDist) | blame,ﬁght,drama,squatter | 0.5 | 0.92 |\n| q.40 | XO-QP(Dist) | blame,ﬁght,drama,intruder | 0.3 | 0.94 |\n| q.70 | OurApproach(α=2) | massacre,panic,betrayal | 0.2 | 0.87 |\n| q.70 | OurApproach(α=16) | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | IntuitiveSolution | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | uxoricide,apprehension,betrayal | 0.1 | 0.8 |\n| q.70 | XO-QP(Dist) | hit,panic,betrayal | 0.3 | 0.8 |\n| q.90 | OurApproach(α=2) | call,betrayal,fear,english | 0.1 | 0.85 |\n| q.90 | OurApproach(α=16) | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | IntuitiveSolution | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | XO-QP(NoDist) | bias,treachery,fear,english | 0.5 | 0.93 |\n| q.90 | XO-QP(Dist) | tilt,betrayal,fear,english | 0.4 | 0.93 |\n| q.100 | OurApproach(α=2) | murderer,extortion,blood | 0.3 | 0.76 |\n| q.100 | OurApproach(α=16) | crook,extortion,desolation | 0.1 | 0.94 |\n| q.100 | IntuitiveSolution | crook,extortion,desolation | 0.1 | 0.94 |\n| q.100 | XO-QP(NoDist) | outlaw,extortion,desolation | 0.3 | 0.94 |\n| q.100 | XO-QP(Dist) | outlaw,extortion,desolation | 0.3 | 0.94 |\n| q.120 | OurApproach(α=2) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | OurApproach(α=16) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | IntuitiveSolution | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | XO-QP(NoDist) | madness,drama,ﬁght,triumph | 0.6 | 0.94 |\n| q.120 | XO-QP(Dist) | madness,drama,ﬁght,win | 0.4 | 0.87 |",0]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.10 | OurApproach(α=2) | emergency,research,system | 0.4 | 0.88 |\n| q.10 | OurApproach(α=16) | emergency,research,system | 0.4 | 0.88 |\n| q.10 | IntuitiveSolution | emergency,research,system | 0.4 | 0.88 |\n| q.10 | XO-QP(NoDist) | pinch,breakdown,system | 0.6 | 0.94 |\n| q.10 | XO-QP(Dist) | pinch,breakdown,system | 0.6 | 0.94 |","| q.70 | OurApproach(α=2) | online,content,exchange | 0.1 | 0.52 |\n| --- | --- | --- | --- | --- |\n| q.70 | OurApproach(α=16) | online,faith,merchandising | 0.1 | 1 |\n| q.70 | IntuitiveSolution | online,faith,merchandising | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | online,faith,trading | 1 | 1 |\n| q.70 | XO-QP(Dist) | online,faith,trading | 1 | 1 |\n| q.80 | OurApproach(α=2) | impact,order,analysis,system | 0.1 | 0.69 |\n| q.80 | OurApproach(α=16) | impact,order,analysis,system | 0.1 | 0.69 |\n| q.80 | IntuitiveSolution | wake,variety,analysis,system | 0.1 | 0.94 |\n| q.80 | XO-QP(NoDist) | wake,variety,analysis,system | 1 | 0.94 |\n| q.80 | XO-QP(Dist) | wake,variety,analysis,system | 1 | 0.94 |\n| q.100 | OurApproach(α=2) | whole,study,analysis,system | 0.1 | 0.24 |\n| q.100 | OurApproach(α=16) | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | IntuitiveSolution | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | XO-QP(NoDist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.100 | XO-QP(Dist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.110 | OurApproach(α=2) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | OurApproach(α=16) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | IntuitiveSolution | hint,testing,system | 0.1 | 0.9 |\n| q.110 | XO-QP(NoDist) | hint,search,system | 0.7 | 0.9 |\n| q.110 | XO-QP(Dist) | hint,search,system | 0.7 | 0.9 |",1]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.10 | OurApproach(α=2) | emergency,research,system | 0.4 | 0.88 |\n| q.10 | OurApproach(α=16) | emergency,research,system | 0.4 | 0.88 |\n| q.10 | IntuitiveSolution | emergency,research,system | 0.4 | 0.88 |\n| q.10 | XO-QP(NoDist) | pinch,breakdown,system | 0.6 | 0.94 |\n| q.10 | XO-QP(Dist) | pinch,breakdown,system | 0.6 | 0.94 |","| q.100 | XO-QP(Dist) | outlaw,extortion,desolation | 0.3 | 0.94 |\n| --- | --- | --- | --- | --- |\n| q.120 | OurApproach(α=2) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | OurApproach(α=16) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | IntuitiveSolution | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | XO-QP(NoDist) | madness,drama,ﬁght,triumph | 0.6 | 0.94 |\n| q.120 | XO-QP(Dist) | madness,drama,ﬁght,win | 0.4 | 0.87 |",0]
["|  | CH | SWB |  |  |\n| --- | --- | --- | --- | --- |\n|  | ASR | Human | ASR | Human |\n| sub | 6.5 | 4.1 | 3.3 | 2.6 |\n| del | 3.3 | 6.5 | 1.8 | 2.7 |","| ins | 1.4 | 0.7 | 0.7 | 0.7 |\n| --- | --- | --- | --- | --- |\n| all | 11.1 | 11.3 | 5.9 | 5.9 |",1]
["|  | CH | SWB |  |  |\n| --- | --- | --- | --- | --- |\n|  | ASR | Human | ASR | Human |\n| sub | 6.5 | 4.1 | 3.3 | 2.6 |\n| del | 3.3 | 6.5 | 1.8 | 2.7 |","| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |\n| 6:and | 4:are | 4:air | 5:it |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",0]
["|  | CH | SWB |  |  |\n| --- | --- | --- | --- | --- |\n|  | ASR | Human | ASR | Human |","| sub | 6.5 | 4.1 | 3.3 | 2.6 |\n| --- | --- | --- | --- | --- |\n| del | 3.3 | 6.5 | 1.8 | 2.7 |\n| ins | 1.4 | 0.7 | 0.7 | 0.7 |\n| all | 11.1 | 11.3 | 5.9 | 5.9 |",1]
["|  | CH | SWB |  |  |\n| --- | --- | --- | --- | --- |\n|  | ASR | Human | ASR | Human |","| 15:is | 9:and | 9:and | 11:and |\n| --- | --- | --- | --- |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |\n| 6:and | 4:are | 4:air | 5:it |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",0]
["| Environment | Algorithm | nmin | nmax | navg | tmin | tmax | tavg |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2D-LocalMinima(ﬁgures??) | P-RRT*<br>RRT* | 9261<br>851206 | 10253<br>856121 | 9582<br>853781 | 1.73<br>55.3 | 1.92<br>55.9 | 1.85<br>55.5 |\n| 2D-Cluttered(ﬁgures??) | P-RRT*<br>RRT* | 2874<br>- | 3411<br>- | 3042<br>- | 0.52<br>- | 0.66<br>- | 0.56<br>- |\n| 2D-Maze(A)(ﬁgures??) | P-RRT*<br>RRT* | 150686<br>4005814 | 152782<br>4008126 | 151178<br>4007931 | 29.2<br>259 | 28.9<br>260 | 29.1<br>260 |\n| 2D-Maze(B)(ﬁgures??) | P-RRT*<br>RRT* | 254714<br>- | 256921<br>- | 254982<br>- | 49.2<br>- | 49.7<br>- | 49.5<br>- |\n| 3D-NarrowPassages(ﬁgures??) | P-RRT*<br>RRT* | 46419<br>163319 | 48726<br>168748 | 47981<br>165261 | 8.92<br>10.9 | 9.48<br>11.6 | 9.2<br>11.2 |","| 3D-MultipleBarriers(ﬁgures??) | P-RRT*<br>RRT* | 84528<br>1941263 | 91827<br>1978796 | 87496<br>1961825 | 16.3<br>127 | 17.6<br>129 | 16.8<br>127 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3D-Maze(ﬁgures??) | P-RRT*<br>RRT* | 41380<br>843428 | 43861<br>849692 | 42931<br>846452 | 8.03<br>54.9 | 8.27<br>55.6 | 8.32<br>55.2 |\n| Poineer3-DXrobot(ﬁgures??) | P-RRT*<br>RRT* | 10126<br>951672 | 11371<br>959165 | 10431<br>954827 | 1.91<br>62.3 | 2.13<br>63.4 | 1.93<br>62.9 |",1]
["| Environment | Algorithm | nmin | nmax | navg | tmin | tmax | tavg |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2D-LocalMinima(ﬁgures??) | P-RRT*<br>RRT* | 9261<br>851206 | 10253<br>856121 | 9582<br>853781 | 1.73<br>55.3 | 1.92<br>55.9 | 1.85<br>55.5 |\n| 2D-Cluttered(ﬁgures??) | P-RRT*<br>RRT* | 2874<br>- | 3411<br>- | 3042<br>- | 0.52<br>- | 0.66<br>- | 0.56<br>- |\n| 2D-Maze(A)(ﬁgures??) | P-RRT*<br>RRT* | 150686<br>4005814 | 152782<br>4008126 | 151178<br>4007931 | 29.2<br>259 | 28.9<br>260 | 29.1<br>260 |\n| 2D-Maze(B)(ﬁgures??) | P-RRT*<br>RRT* | 254714<br>- | 256921<br>- | 254982<br>- | 49.2<br>- | 49.7<br>- | 49.5<br>- |\n| 3D-NarrowPassages(ﬁgures??) | P-RRT*<br>RRT* | 46419<br>163319 | 48726<br>168748 | 47981<br>165261 | 8.92<br>10.9 | 9.48<br>11.6 | 9.2<br>11.2 |","|  |  |  | Qine |  |\n| --- | --- | --- | --- | --- |\n| problem | ratio | Rsolver | 2B | 2B+ |\n| Circle | 0.98<br>0.99<br>0.999 | 55.67<br>169.51<br>− | 0.90<br>2.32<br>69.18 | 1.03<br>2.22<br>31.55 |\n| PathPoint | 0.6<br>0.65<br>0.7 | 122.72<br>334.34<br>− | 0.01<br>0.01<br>0.02 | 0.01<br>0.02<br>0.03 |\n| Parabola | 0.96<br>0.97<br>0.98 | 48.33<br>130.30<br>− | 1.47<br>2.74<br>8.77 | 1.36<br>1.92<br>6.59 |\n| Robot | 0.98<br>0.99<br>0.999 | 10.34<br>26.74<br>− | 0.06<br>0.14<br>5.37 | 0.08<br>0.18<br>4.08 |\n| Satellite | 0.5<br>0.55<br>0.6 | 303.30<br>−<br>− | 71.36<br>168.32<br>227.09 | 114.33<br>268.36<br>368.90 |\n| Robust1 | 0.999<br>0.9999<br>0.99999 | 1.10<br>7.16<br>76.25 | 0.01<br>0.04<br>0.10 | 0.00<br>0.00<br>0.00 |\n| Robust4 | 0.5<br>0.55<br>0.6 | −<br>−<br>− | −<br>−<br>− | 0.00<br>0.01<br>0.01 |\n| Robust5 | 0.7<br>0.75<br>0.8 | 75.35<br>80.62<br>− | 0.00<br>0.00<br>0.01 | 0.00<br>0.00<br>0.00 |\n| Robust6 | 0.7<br>0.75<br>0.8 | 59.98<br>224.33<br>− | 0.02<br>0.05<br>0.09 | 0.00<br>0.00<br>0.00 |",0]
["| Environment | Algorithm | nmin | nmax | navg | tmin | tmax | tavg |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2D-LocalMinima(ﬁgures??) | P-RRT*<br>RRT* | 9261<br>851206 | 10253<br>856121 | 9582<br>853781 | 1.73<br>55.3 | 1.92<br>55.9 | 1.85<br>55.5 |\n| 2D-Cluttered(ﬁgures??) | P-RRT*<br>RRT* | 2874<br>- | 3411<br>- | 3042<br>- | 0.52<br>- | 0.66<br>- | 0.56<br>- |\n| 2D-Maze(A)(ﬁgures??) | P-RRT*<br>RRT* | 150686<br>4005814 | 152782<br>4008126 | 151178<br>4007931 | 29.2<br>259 | 28.9<br>260 | 29.1<br>260 |","| 2D-Maze(B)(ﬁgures??) | P-RRT*<br>RRT* | 254714<br>- | 256921<br>- | 254982<br>- | 49.2<br>- | 49.7<br>- | 49.5<br>- |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3D-NarrowPassages(ﬁgures??) | P-RRT*<br>RRT* | 46419<br>163319 | 48726<br>168748 | 47981<br>165261 | 8.92<br>10.9 | 9.48<br>11.6 | 9.2<br>11.2 |\n| 3D-MultipleBarriers(ﬁgures??) | P-RRT*<br>RRT* | 84528<br>1941263 | 91827<br>1978796 | 87496<br>1961825 | 16.3<br>127 | 17.6<br>129 | 16.8<br>127 |\n| 3D-Maze(ﬁgures??) | P-RRT*<br>RRT* | 41380<br>843428 | 43861<br>849692 | 42931<br>846452 | 8.03<br>54.9 | 8.27<br>55.6 | 8.32<br>55.2 |\n| Poineer3-DXrobot(ﬁgures??) | P-RRT*<br>RRT* | 10126<br>951672 | 11371<br>959165 | 10431<br>954827 | 1.91<br>62.3 | 2.13<br>63.4 | 1.93<br>62.9 |",1]
["| Environment | Algorithm | nmin | nmax | navg | tmin | tmax | tavg |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2D-LocalMinima(ﬁgures??) | P-RRT*<br>RRT* | 9261<br>851206 | 10253<br>856121 | 9582<br>853781 | 1.73<br>55.3 | 1.92<br>55.9 | 1.85<br>55.5 |\n| 2D-Cluttered(ﬁgures??) | P-RRT*<br>RRT* | 2874<br>- | 3411<br>- | 3042<br>- | 0.52<br>- | 0.66<br>- | 0.56<br>- |\n| 2D-Maze(A)(ﬁgures??) | P-RRT*<br>RRT* | 150686<br>4005814 | 152782<br>4008126 | 151178<br>4007931 | 29.2<br>259 | 28.9<br>260 | 29.1<br>260 |","| PathPoint | 0.6<br>0.65<br>0.7 | 122.72<br>334.34<br>− | 0.01<br>0.01<br>0.02 | 0.01<br>0.02<br>0.03 |\n| --- | --- | --- | --- | --- |\n| Parabola | 0.96<br>0.97<br>0.98 | 48.33<br>130.30<br>− | 1.47<br>2.74<br>8.77 | 1.36<br>1.92<br>6.59 |\n| Robot | 0.98<br>0.99<br>0.999 | 10.34<br>26.74<br>− | 0.06<br>0.14<br>5.37 | 0.08<br>0.18<br>4.08 |\n| Satellite | 0.5<br>0.55<br>0.6 | 303.30<br>−<br>− | 71.36<br>168.32<br>227.09 | 114.33<br>268.36<br>368.90 |\n| Robust1 | 0.999<br>0.9999<br>0.99999 | 1.10<br>7.16<br>76.25 | 0.01<br>0.04<br>0.10 | 0.00<br>0.00<br>0.00 |\n| Robust4 | 0.5<br>0.55<br>0.6 | −<br>−<br>− | −<br>−<br>− | 0.00<br>0.01<br>0.01 |\n| Robust5 | 0.7<br>0.75<br>0.8 | 75.35<br>80.62<br>− | 0.00<br>0.00<br>0.01 | 0.00<br>0.00<br>0.00 |\n| Robust6 | 0.7<br>0.75<br>0.8 | 59.98<br>224.33<br>− | 0.02<br>0.05<br>0.09 | 0.00<br>0.00<br>0.00 |",0]
["|  | Basque | Czech | Danish | Dutch | Portuguese | Slovene | Swedish | Avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Length:≤10 |  |  |  |  |  |  |  |  |\n| DMV(EM) | 41.1 | 31.3 | 50.8 | 47.1 | 36.7 | 36.7 | 43.5 | 41.0 |\n| DMV(Viterbi) | 47.1 | 27.1 | 39.1 | 37.1 | 32.3 | 23.7 | 42.6 | 35.5 |\n| NeuralDMV(EM) | 46.5 | 33.1 | 55.6 | 49.0 | 30.4 | 42.2 | 44.3 | 43.0 |\n| NeuralDMV(Viterbi) | 48.1 | 28.6 | 39.8 | 37.2 | 36.5 | 39.9 | 47.9 | 39.7 |\n| Convex-MST(NoPrior) | 29.4 | 36.5 | 49.3 | 31.3 | 46.4 | 33.7 | 35.5 | 37.4 |\n| Convex-MST(WithPrior) | 30.0 | 46.1 | 51.6 | 35.3 | 55.4 | 63.7 | 50.9 | 47.5 |\n| CRFAE(NoPrior) | 49.0 | 33.9 | 28.8 | 39.3 | 47.6 | 34.7 | 51.3 | 40.6 |\n| CRFAE(WithPrior) | 49.9 | 48.1 | 53.4 | 43.9 | 68.0 | 52.5 | 64.7 | 54.3 |\n| Length:All |  |  |  |  |  |  |  |  |\n| DMV(EM) | 31.2 | 28.1 | 40.3 | 44.2 | 23.5 | 25.2 | 32.0 | 32.0 |\n| DMV(Viterbi) | 40.9 | 20.4 | 32.6 | 33.0 | 26.9 | 16.5 | 36.2 | 29.5 |","| NeuralDMV(EM) | 38.5 | 29.3 | 46.1 | 46.2 | 16.2 | 36.6 | 32.8 | 35.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NeuralDMV(Viterbi) | 41.8 | 23.8 | 34.2 | 33.6 | 29.4 | 30.8 | 40.2 | 33.4 |\n| Convex-MST(NoPrior) | 30.5 | 33.4 | 44.2 | 29.3 | 38.3 | 32.2 | 28.3 | 33.7 |\n| Convex-MST(WithPrior) | 30.6 | 40.0 | 45.8 | 35.6 | 46.3 | 51.8 | 40.5 | 41.5 |\n| CRFAE(NoPrior) | 39.8 | 25.4 | 24.2 | 35.2 | 52.2 | 26.4 | 40.0 | 34.7 |\n| CRFAE(WithPrior) | 41.4 | 36.8 | 40.5 | 38.6 | 58.9 | 43.3 | 48.5 | 44.0 |",1]
["|  | Basque | Czech | Danish | Dutch | Portuguese | Slovene | Swedish | Avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Length:≤10 |  |  |  |  |  |  |  |  |\n| DMV(EM) | 41.1 | 31.3 | 50.8 | 47.1 | 36.7 | 36.7 | 43.5 | 41.0 |\n| DMV(Viterbi) | 47.1 | 27.1 | 39.1 | 37.1 | 32.3 | 23.7 | 42.6 | 35.5 |\n| NeuralDMV(EM) | 46.5 | 33.1 | 55.6 | 49.0 | 30.4 | 42.2 | 44.3 | 43.0 |\n| NeuralDMV(Viterbi) | 48.1 | 28.6 | 39.8 | 37.2 | 36.5 | 39.9 | 47.9 | 39.7 |\n| Convex-MST(NoPrior) | 29.4 | 36.5 | 49.3 | 31.3 | 46.4 | 33.7 | 35.5 | 37.4 |\n| Convex-MST(WithPrior) | 30.0 | 46.1 | 51.6 | 35.3 | 55.4 | 63.7 | 50.9 | 47.5 |\n| CRFAE(NoPrior) | 49.0 | 33.9 | 28.8 | 39.3 | 47.6 | 34.7 | 51.3 | 40.6 |\n| CRFAE(WithPrior) | 49.9 | 48.1 | 53.4 | 43.9 | 68.0 | 52.5 | 64.7 | 54.3 |\n| Length:All |  |  |  |  |  |  |  |  |\n| DMV(EM) | 31.2 | 28.1 | 40.3 | 44.2 | 23.5 | 25.2 | 32.0 | 32.0 |\n| DMV(Viterbi) | 40.9 | 20.4 | 32.6 | 33.0 | 26.9 | 16.5 | 36.2 | 29.5 |","|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["|  | Basque | Czech | Danish | Dutch | Portuguese | Slovene | Swedish | Avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Length:≤10 |  |  |  |  |  |  |  |  |\n| DMV(EM) | 41.1 | 31.3 | 50.8 | 47.1 | 36.7 | 36.7 | 43.5 | 41.0 |\n| DMV(Viterbi) | 47.1 | 27.1 | 39.1 | 37.1 | 32.3 | 23.7 | 42.6 | 35.5 |\n| NeuralDMV(EM) | 46.5 | 33.1 | 55.6 | 49.0 | 30.4 | 42.2 | 44.3 | 43.0 |\n| NeuralDMV(Viterbi) | 48.1 | 28.6 | 39.8 | 37.2 | 36.5 | 39.9 | 47.9 | 39.7 |\n| Convex-MST(NoPrior) | 29.4 | 36.5 | 49.3 | 31.3 | 46.4 | 33.7 | 35.5 | 37.4 |\n| Convex-MST(WithPrior) | 30.0 | 46.1 | 51.6 | 35.3 | 55.4 | 63.7 | 50.9 | 47.5 |\n| CRFAE(NoPrior) | 49.0 | 33.9 | 28.8 | 39.3 | 47.6 | 34.7 | 51.3 | 40.6 |\n| CRFAE(WithPrior) | 49.9 | 48.1 | 53.4 | 43.9 | 68.0 | 52.5 | 64.7 | 54.3 |\n| Length:All |  |  |  |  |  |  |  |  |\n| DMV(EM) | 31.2 | 28.1 | 40.3 | 44.2 | 23.5 | 25.2 | 32.0 | 32.0 |\n| DMV(Viterbi) | 40.9 | 20.4 | 32.6 | 33.0 | 26.9 | 16.5 | 36.2 | 29.5 |\n| NeuralDMV(EM) | 38.5 | 29.3 | 46.1 | 46.2 | 16.2 | 36.6 | 32.8 | 35.1 |","| NeuralDMV(Viterbi) | 41.8 | 23.8 | 34.2 | 33.6 | 29.4 | 30.8 | 40.2 | 33.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Convex-MST(NoPrior) | 30.5 | 33.4 | 44.2 | 29.3 | 38.3 | 32.2 | 28.3 | 33.7 |\n| Convex-MST(WithPrior) | 30.6 | 40.0 | 45.8 | 35.6 | 46.3 | 51.8 | 40.5 | 41.5 |\n| CRFAE(NoPrior) | 39.8 | 25.4 | 24.2 | 35.2 | 52.2 | 26.4 | 40.0 | 34.7 |\n| CRFAE(WithPrior) | 41.4 | 36.8 | 40.5 | 38.6 | 58.9 | 43.3 | 48.5 | 44.0 |",1]
["|  | Basque | Czech | Danish | Dutch | Portuguese | Slovene | Swedish | Avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Length:≤10 |  |  |  |  |  |  |  |  |\n| DMV(EM) | 41.1 | 31.3 | 50.8 | 47.1 | 36.7 | 36.7 | 43.5 | 41.0 |\n| DMV(Viterbi) | 47.1 | 27.1 | 39.1 | 37.1 | 32.3 | 23.7 | 42.6 | 35.5 |\n| NeuralDMV(EM) | 46.5 | 33.1 | 55.6 | 49.0 | 30.4 | 42.2 | 44.3 | 43.0 |\n| NeuralDMV(Viterbi) | 48.1 | 28.6 | 39.8 | 37.2 | 36.5 | 39.9 | 47.9 | 39.7 |\n| Convex-MST(NoPrior) | 29.4 | 36.5 | 49.3 | 31.3 | 46.4 | 33.7 | 35.5 | 37.4 |\n| Convex-MST(WithPrior) | 30.0 | 46.1 | 51.6 | 35.3 | 55.4 | 63.7 | 50.9 | 47.5 |\n| CRFAE(NoPrior) | 49.0 | 33.9 | 28.8 | 39.3 | 47.6 | 34.7 | 51.3 | 40.6 |\n| CRFAE(WithPrior) | 49.9 | 48.1 | 53.4 | 43.9 | 68.0 | 52.5 | 64.7 | 54.3 |\n| Length:All |  |  |  |  |  |  |  |  |\n| DMV(EM) | 31.2 | 28.1 | 40.3 | 44.2 | 23.5 | 25.2 | 32.0 | 32.0 |\n| DMV(Viterbi) | 40.9 | 20.4 | 32.6 | 33.0 | 26.9 | 16.5 | 36.2 | 29.5 |\n| NeuralDMV(EM) | 38.5 | 29.3 | 46.1 | 46.2 | 16.2 | 36.6 | 32.8 | 35.1 |","| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.6847 | 0.6854 | 0.7591 | 0.6807 | 0.7424 |\n| 2 | 0.682 | 0.6512 | 0.753 | 0.6334 | 0.728 |","| 3 | 0.6356 | 0.6675 | 0.6673 | 0.7044 | 0.6997 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 0.6716 | 0.6597 | 0.7197 | 0.7111 | 0.7325 |\n| 5 | 0.5658 | 0.5706 | 0.6036 | 0.5999 | 0.6083 |\n| 6 | 0.6633 | 0.6385 | 0.7586 | 0.651 | 0.738 |\n| 7 | 0.6832 | 0.6931 | 0.6844 | 0.7266 | 0.8204 |\n| 8 | 0.6534 | 0.706 | 0.5862 | 0.7242 | 0.7833 |\n| 9 | 0.6157 | 0.6563 | 0.6405 | 0.7109 | 0.6677 |\n| 10 | 0.6663 | 0.6783 | 0.6712 | 0.7133 | 0.7694 |\n| Average | 0.65216 | 0.66066 | 0.68436 | 0.68555 | 0.72897 |",1]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.6847 | 0.6854 | 0.7591 | 0.6807 | 0.7424 |\n| 2 | 0.682 | 0.6512 | 0.753 | 0.6334 | 0.728 |","| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |\n| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |\n| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |\n| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |\n| 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 |\n| 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 |\n| 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 |\n| 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 |\n| 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 |\n| 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 |\n| Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |",0]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.6847 | 0.6854 | 0.7591 | 0.6807 | 0.7424 |\n| 2 | 0.682 | 0.6512 | 0.753 | 0.6334 | 0.728 |\n| 3 | 0.6356 | 0.6675 | 0.6673 | 0.7044 | 0.6997 |\n| 4 | 0.6716 | 0.6597 | 0.7197 | 0.7111 | 0.7325 |\n| 5 | 0.5658 | 0.5706 | 0.6036 | 0.5999 | 0.6083 |\n| 6 | 0.6633 | 0.6385 | 0.7586 | 0.651 | 0.738 |","| 7 | 0.6832 | 0.6931 | 0.6844 | 0.7266 | 0.8204 |\n| --- | --- | --- | --- | --- | --- |\n| 8 | 0.6534 | 0.706 | 0.5862 | 0.7242 | 0.7833 |\n| 9 | 0.6157 | 0.6563 | 0.6405 | 0.7109 | 0.6677 |\n| 10 | 0.6663 | 0.6783 | 0.6712 | 0.7133 | 0.7694 |\n| Average | 0.65216 | 0.66066 | 0.68436 | 0.68555 | 0.72897 |",1]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.6847 | 0.6854 | 0.7591 | 0.6807 | 0.7424 |\n| 2 | 0.682 | 0.6512 | 0.753 | 0.6334 | 0.728 |\n| 3 | 0.6356 | 0.6675 | 0.6673 | 0.7044 | 0.6997 |\n| 4 | 0.6716 | 0.6597 | 0.7197 | 0.7111 | 0.7325 |\n| 5 | 0.5658 | 0.5706 | 0.6036 | 0.5999 | 0.6083 |\n| 6 | 0.6633 | 0.6385 | 0.7586 | 0.651 | 0.738 |","| 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 |\n| 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 |\n| 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 |\n| 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 |\n| Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |",0]
["| Architecture | ImageSize | CP | CI | Speedup | memoryCI |\n| --- | --- | --- | --- | --- | --- |\n| Simo-Serraetal. | 72x48 | 1.25s | 0.099s | 12.6times | 348MB |\n| Simo-Serraetal. | 360x240 | 28.42s | 0.103s | 275times | 1142MB |\n| Simo-Serraetal. | 720x480 | 112.76s | 0.116s | 972times | 3448MB |","| Simo-Serraetal. | 1080x720 | 252.97s | 0.117s | 1550times | 7222MB |\n| --- | --- | --- | --- | --- | --- |\n| Zagoruykoetal.(SiameseL)2 | 1080x720 | 223.55s | 0.127s | 1760times | 11495MB |\n| Baileretal.(fastarch) | 864x576 | 363.45s | 0.113s | 3216times | 9850MB |",1]
["| Architecture | ImageSize | CP | CI | Speedup | memoryCI |\n| --- | --- | --- | --- | --- | --- |\n| Simo-Serraetal. | 72x48 | 1.25s | 0.099s | 12.6times | 348MB |\n| Simo-Serraetal. | 360x240 | 28.42s | 0.103s | 275times | 1142MB |\n| Simo-Serraetal. | 720x480 | 112.76s | 0.116s | 972times | 3448MB |","| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| Architecture | ImageSize | CP | CI | Speedup | memoryCI |\n| --- | --- | --- | --- | --- | --- |\n| Simo-Serraetal. | 72x48 | 1.25s | 0.099s | 12.6times | 348MB |\n| Simo-Serraetal. | 360x240 | 28.42s | 0.103s | 275times | 1142MB |","| Simo-Serraetal. | 720x480 | 112.76s | 0.116s | 972times | 3448MB |\n| --- | --- | --- | --- | --- | --- |\n| Simo-Serraetal. | 1080x720 | 252.97s | 0.117s | 1550times | 7222MB |\n| Zagoruykoetal.(SiameseL)2 | 1080x720 | 223.55s | 0.127s | 1760times | 11495MB |\n| Baileretal.(fastarch) | 864x576 | 363.45s | 0.113s | 3216times | 9850MB |",1]
["| Architecture | ImageSize | CP | CI | Speedup | memoryCI |\n| --- | --- | --- | --- | --- | --- |\n| Simo-Serraetal. | 72x48 | 1.25s | 0.099s | 12.6times | 348MB |\n| Simo-Serraetal. | 360x240 | 28.42s | 0.103s | 275times | 1142MB |","| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| --- | --- | --- | --- | --- |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 2.24 | 7.97 |\n| Ridgeregression | 2.25 | 7.82 |\n| Cumulativeattributeregression | 2.07 | 6.90 |\n| Densitymap+MESA | 1.70 | - |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |","| HydraCNN | 1.65 | - |\n| --- | --- | --- |\n| CNNboosting | 1.10 | - |\n| ConvLSTM-nt | 1.73 | 3.52 |\n| ConvLSTM | 1.30 | 1.79 |\n| BidirectionalConvLSTM | 1.13 | 1.43 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 2.24 | 7.97 |\n| Ridgeregression | 2.25 | 7.82 |\n| Cumulativeattributeregression | 2.07 | 6.90 |\n| Densitymap+MESA | 1.70 | - |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 3.72 | 20.1 |\n| Ridgeregression | 3.59 | 19.0 |\n| Cumulativeattributeregression | 3.43 | 17.7 |\n| Countforest | 2.50 | 10.0 |\n| ConvLSTM-nt | 2.53 | 11.2 |\n| ConvLSTM | 2.24 | 8.5 |\n| BidirectionalConvLSTM | 2.10 | 7.6 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 2.24 | 7.97 |\n| Ridgeregression | 2.25 | 7.82 |\n| Cumulativeattributeregression | 2.07 | 6.90 |\n| Densitymap+MESA | 1.70 | - |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |\n| HydraCNN | 1.65 | - |","| CNNboosting | 1.10 | - |\n| --- | --- | --- |\n| ConvLSTM-nt | 1.73 | 3.52 |\n| ConvLSTM | 1.30 | 1.79 |\n| BidirectionalConvLSTM | 1.13 | 1.43 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 2.24 | 7.97 |\n| Ridgeregression | 2.25 | 7.82 |\n| Cumulativeattributeregression | 2.07 | 6.90 |\n| Densitymap+MESA | 1.70 | - |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |\n| HydraCNN | 1.65 | - |","| Countforest | 2.50 | 10.0 |\n| --- | --- | --- |\n| ConvLSTM-nt | 2.53 | 11.2 |\n| ConvLSTM | 2.24 | 8.5 |\n| BidirectionalConvLSTM | 2.10 | 7.6 |",0]
["| Notations | Meaning |\n| --- | --- |\n| ui | iuserinsystem |\n| pi | passwordofiuser |","| Wi | tupleofpasswordsstoredforui |\n| --- | --- |\n| k | numberofelementsinWi |\n| ci | indexofcorrectpasswordinWi |\n| sweetword | eachelementofWi |",1]
["| Notations | Meaning |\n| --- | --- |\n| ui | iuserinsystem |\n| pi | passwordofiuser |","|  | Top10Features |\n| --- | --- |\n| 1 | Location(State) |\n| 2 | NumberofSpecialCharacters |\n| 3 | LongestCommonSubstring |\n| 4 | NumberofUniqueTokens |\n| 5 | TimeDifference |\n| 6 | IfPostedonSameDay |\n| 7 | PresenceofEthnicity |\n| 8 | PresenceofRate |\n| 9 | PresenceofRestrictions |\n| 10 | PresenceofNames |",0]
["| Notations | Meaning |\n| --- | --- |\n| ui | iuserinsystem |\n| pi | passwordofiuser |\n| Wi | tupleofpasswordsstoredforui |","| k | numberofelementsinWi |\n| --- | --- |\n| ci | indexofcorrectpasswordinWi |\n| sweetword | eachelementofWi |",1]
["| Notations | Meaning |\n| --- | --- |\n| ui | iuserinsystem |\n| pi | passwordofiuser |\n| Wi | tupleofpasswordsstoredforui |","| 5 | TimeDifference |\n| --- | --- |\n| 6 | IfPostedonSameDay |\n| 7 | PresenceofEthnicity |\n| 8 | PresenceofRate |\n| 9 | PresenceofRestrictions |\n| 10 | PresenceofNames |",0]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |","| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |\n| --- | --- | --- | --- | --- |\n| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",1]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |","| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |\n| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |\n| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |\n| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |","| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| --- | --- | --- | --- | --- |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",1]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |\n| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |","| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| --- | --- | --- | --- | --- |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| Type | Feature | InformationGain |  |\n| --- | --- | --- | --- |\n| Anonymous | Identiﬁable |  |  |\n| Numeric | #offriends | 0.015026 | 0.04283 |\n| #offollowers | 0.009373 | 0.04705 |  |\n| followers-to-friendsratio | 0.000822 | 0.00468 |  |\n| #ofuserlistmemberships | 0.002298 | 0.02168 |  |\n| #oftweets | 0.005205 | 0.02584 |  |\n| #offavoritetweets | 0.016624 | 0.0166 |  |\n| numberofparts/wordsinthenamestring | 0.033509 | 0.19704 |  |\n| popularityrankofoccurringﬁrstnameinthe<br>namelist | 0.156569 | 0.23648 |  |\n| popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 |  |\n| #ofScrabblewordspresentinthename | 0.023888 | 0.06242 |  |\n| wordfrequencyrankofoccurringﬁrstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 |  |","| wordfrequencyrankofoccurringlastnamein<br>Scrabblelist | 0.033384 | 0.07316 |  |\n| --- | --- | --- | --- |\n| Boolean | enabledprotectedprivacyfeature | 0.00023 | 0.00129 |\n| enabledgeo-taggingfortweets | 0.002429 | 0.00105 |  |\n| includesaurlintheproﬁle | 0.091024 | 0.00821 |  |\n| namefollowsstructuralconstraints | 0.044985 | 0.185 |  |",1]
["| Type | Feature | InformationGain |  |\n| --- | --- | --- | --- |\n| Anonymous | Identiﬁable |  |  |\n| Numeric | #offriends | 0.015026 | 0.04283 |\n| #offollowers | 0.009373 | 0.04705 |  |\n| followers-to-friendsratio | 0.000822 | 0.00468 |  |\n| #ofuserlistmemberships | 0.002298 | 0.02168 |  |\n| #oftweets | 0.005205 | 0.02584 |  |\n| #offavoritetweets | 0.016624 | 0.0166 |  |\n| numberofparts/wordsinthenamestring | 0.033509 | 0.19704 |  |\n| popularityrankofoccurringﬁrstnameinthe<br>namelist | 0.156569 | 0.23648 |  |\n| popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 |  |\n| #ofScrabblewordspresentinthename | 0.023888 | 0.06242 |  |\n| wordfrequencyrankofoccurringﬁrstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 |  |","|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Type | Feature | InformationGain |  |\n| --- | --- | --- | --- |\n| Anonymous | Identiﬁable |  |  |\n| Numeric | #offriends | 0.015026 | 0.04283 |\n| #offollowers | 0.009373 | 0.04705 |  |\n| followers-to-friendsratio | 0.000822 | 0.00468 |  |\n| #ofuserlistmemberships | 0.002298 | 0.02168 |  |\n| #oftweets | 0.005205 | 0.02584 |  |\n| #offavoritetweets | 0.016624 | 0.0166 |  |\n| numberofparts/wordsinthenamestring | 0.033509 | 0.19704 |  |\n| popularityrankofoccurringﬁrstnameinthe<br>namelist | 0.156569 | 0.23648 |  |\n| popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 |  |\n| #ofScrabblewordspresentinthename | 0.023888 | 0.06242 |  |\n| wordfrequencyrankofoccurringﬁrstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 |  |","| wordfrequencyrankofoccurringlastnamein<br>Scrabblelist | 0.033384 | 0.07316 |  |\n| --- | --- | --- | --- |\n| Boolean | enabledprotectedprivacyfeature | 0.00023 | 0.00129 |\n| enabledgeo-taggingfortweets | 0.002429 | 0.00105 |  |\n| includesaurlintheproﬁle | 0.091024 | 0.00821 |  |\n| namefollowsstructuralconstraints | 0.044985 | 0.185 |  |",1]
["| Type | Feature | InformationGain |  |\n| --- | --- | --- | --- |\n| Anonymous | Identiﬁable |  |  |\n| Numeric | #offriends | 0.015026 | 0.04283 |\n| #offollowers | 0.009373 | 0.04705 |  |\n| followers-to-friendsratio | 0.000822 | 0.00468 |  |\n| #ofuserlistmemberships | 0.002298 | 0.02168 |  |\n| #oftweets | 0.005205 | 0.02584 |  |\n| #offavoritetweets | 0.016624 | 0.0166 |  |\n| numberofparts/wordsinthenamestring | 0.033509 | 0.19704 |  |\n| popularityrankofoccurringﬁrstnameinthe<br>namelist | 0.156569 | 0.23648 |  |\n| popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 |  |\n| #ofScrabblewordspresentinthename | 0.023888 | 0.06242 |  |\n| wordfrequencyrankofoccurringﬁrstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 |  |","| Averagenumberoftokenspertweet | 15.391 |\n| --- | --- |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["|  | ClassSim |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:6588 | mountain:6951 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:6588 | mountain:6909 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | helicopter:5656 | f-16:6490 |","| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:3438 | clouds:3525 |\n| --- | --- | --- | --- | --- | --- |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:9624 | bay:9813 |\n| city | buildings:0.656 | bay:0.301 | ships:0.097 | ocean:8576 | bay:8679 |\n| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | f-16:3421 | boeing:3525 |\n| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | f-16:7768 | helicopter:7849 |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | clouds:3421 | boeing:3438 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:4682 | boeing:4918 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | beach:6909 | bay:6951 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:6609 | f-16:7161 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | helicopter:7506 | birds:7520 |\n| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | f-16:5253 | boeing:5365 |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | f-16:5885 | boeing:6028 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:7270 | beach:8070 |",1]
["|  | ClassSim |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:6588 | mountain:6951 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:6588 | mountain:6909 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | helicopter:5656 | f-16:6490 |","|  | ClassSim(OVR) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |\n| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 |\n| city | buildings:0.656 | bay:0.301 | ships:0.097 | bay:0.123 | buildings:0.122 |\n| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | sky:0.248 | ocean:0.041 |\n| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | ocean:0.012 | birds:0.011 |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | boeing:0.040 | helicopter:0.038 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:0.038 | ships:0.025 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | bay:0.093 | clouds:0.021 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:0.248 | sunset:0.106 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 |\n| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | sunrise:0.353 | sky:0.106 |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | sunset:0.353 | sky:0.057 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:0.087 | clouds:0.041 |",0]
["|  | ClassSim |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:6588 | mountain:6951 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:6588 | mountain:6909 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | helicopter:5656 | f-16:6490 |","| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:3438 | clouds:3525 |\n| --- | --- | --- | --- | --- | --- |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:9624 | bay:9813 |\n| city | buildings:0.656 | bay:0.301 | ships:0.097 | ocean:8576 | bay:8679 |\n| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | f-16:3421 | boeing:3525 |\n| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | f-16:7768 | helicopter:7849 |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | clouds:3421 | boeing:3438 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:4682 | boeing:4918 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | beach:6909 | bay:6951 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:6609 | f-16:7161 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | helicopter:7506 | birds:7520 |\n| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | f-16:5253 | boeing:5365 |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | f-16:5885 | boeing:6028 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:7270 | beach:8070 |",1]
["|  | ClassSim |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:6588 | mountain:6951 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:6588 | mountain:6909 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | helicopter:5656 | f-16:6490 |","| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 |\n| --- | --- | --- | --- | --- | --- |\n| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | sunrise:0.353 | sky:0.106 |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | sunset:0.353 | sky:0.057 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:0.087 | clouds:0.041 |",0]
["| Step | Time(sec) |\n| --- | --- |\n| Fourier-BesselsPCA | 537.7 |","| RotationallyInvariantFeatures | 28.2 |\n| --- | --- |\n| InitialNearestNeighborSearch | 13.9 |\n| VDMClassiﬁcation | 57.4 |\n| LocalAlignmentandClassAverage | 1081 |\n| Total | 1718.3(28.6min) |",1]
["| Step | Time(sec) |\n| --- | --- |\n| Fourier-BesselsPCA | 537.7 |","| Steps | Time(sec) |\n| --- | --- |\n| Precomputation | 7 |\n| NUFFTandFourier-BesselExpansion | 1,438 |\n| SteerablePCA | 42 |\n| Total | 1487 |",0]
["| Step | Time(sec) |\n| --- | --- |\n| Fourier-BesselsPCA | 537.7 |\n| RotationallyInvariantFeatures | 28.2 |\n| InitialNearestNeighborSearch | 13.9 |\n| VDMClassiﬁcation | 57.4 |","| LocalAlignmentandClassAverage | 1081 |\n| --- | --- |\n| Total | 1718.3(28.6min) |",1]
["| Step | Time(sec) |\n| --- | --- |\n| Fourier-BesselsPCA | 537.7 |\n| RotationallyInvariantFeatures | 28.2 |\n| InitialNearestNeighborSearch | 13.9 |\n| VDMClassiﬁcation | 57.4 |","| NUFFTandFourier-BesselExpansion | 1,438 |\n| --- | --- |\n| SteerablePCA | 42 |\n| Total | 1487 |",0]
["| Type | Name | Timecomplexity | Reference |\n| --- | --- | --- | --- |\n| Local | CommonNeighborscount | O(vd) |  |\n| Adamic–Adarscore | O(vd) |  |  |\n| Resource–allocationindex | O(vd) |  |  |\n| Adaptivedegreepenalizationscore | O(vd) |  |  |\n| Jaccardscore | O(vd) |  |  |\n| Leicht-Holme-Newmanscore | O(vd) |  |  |","| Saltonscore | O(vd) |  |  |\n| --- | --- | --- | --- |\n| Sorensenscore | O(vd) |  |  |\n| Hubpromotedindex | O(vd) |  |  |\n| hubdepressedindex | O(vd) |  |  |\n| Preferentialattachmentscore | O(vd) |  |  |\n| Global | Katzindex | O(v) |  |\n| Leicht-Holme-Newmanscore | O(cvd) |  |  |\n| Randomwalk | O(cvd) |  |  |\n| Randomwalkwithrestart | O(cvd) |  |  |\n| Flowpropagation | O(cvd) |  |  |\n| PseudoinverseLaplacianscore | O(v) |  |  |\n| Averagecommutetimescore | O(v) |  |  |\n| Randomforestkernelindex | O(v) |  |  |",1]
["| Type | Name | Timecomplexity | Reference |\n| --- | --- | --- | --- |\n| Local | CommonNeighborscount | O(vd) |  |\n| Adamic–Adarscore | O(vd) |  |  |\n| Resource–allocationindex | O(vd) |  |  |\n| Adaptivedegreepenalizationscore | O(vd) |  |  |\n| Jaccardscore | O(vd) |  |  |\n| Leicht-Holme-Newmanscore | O(vd) |  |  |","| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |\n| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| Type | Name | Timecomplexity | Reference |\n| --- | --- | --- | --- |\n| Local | CommonNeighborscount | O(vd) |  |\n| Adamic–Adarscore | O(vd) |  |  |\n| Resource–allocationindex | O(vd) |  |  |\n| Adaptivedegreepenalizationscore | O(vd) |  |  |\n| Jaccardscore | O(vd) |  |  |\n| Leicht-Holme-Newmanscore | O(vd) |  |  |\n| Saltonscore | O(vd) |  |  |\n| Sorensenscore | O(vd) |  |  |\n| Hubpromotedindex | O(vd) |  |  |\n| hubdepressedindex | O(vd) |  |  |\n| Preferentialattachmentscore | O(vd) |  |  |","| Global | Katzindex | O(v) |  |\n| --- | --- | --- | --- |\n| Leicht-Holme-Newmanscore | O(cvd) |  |  |\n| Randomwalk | O(cvd) |  |  |\n| Randomwalkwithrestart | O(cvd) |  |  |\n| Flowpropagation | O(cvd) |  |  |\n| PseudoinverseLaplacianscore | O(v) |  |  |\n| Averagecommutetimescore | O(v) |  |  |\n| Randomforestkernelindex | O(v) |  |  |",1]
["| Type | Name | Timecomplexity | Reference |\n| --- | --- | --- | --- |\n| Local | CommonNeighborscount | O(vd) |  |\n| Adamic–Adarscore | O(vd) |  |  |\n| Resource–allocationindex | O(vd) |  |  |\n| Adaptivedegreepenalizationscore | O(vd) |  |  |\n| Jaccardscore | O(vd) |  |  |\n| Leicht-Holme-Newmanscore | O(vd) |  |  |\n| Saltonscore | O(vd) |  |  |\n| Sorensenscore | O(vd) |  |  |\n| Hubpromotedindex | O(vd) |  |  |\n| hubdepressedindex | O(vd) |  |  |\n| Preferentialattachmentscore | O(vd) |  |  |","| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| --- | --- | --- | --- |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| Model | Figure | NetFABB | MeshMixer | ours |\n| --- | --- | --- | --- | --- |\n| Kleinbottle | ??(f) | 5 | 3 | 5 |\n| PrincetonLamp | ??(g) | 2 | 2 | 4 |\n| RandomTriangles | ??(e) | 1 | 3 | 4 |","| DarthVader | ?? | 2 | 3 | 4 |\n| --- | --- | --- | --- | --- |\n| HagiaSophia | ??(a) | 1 | 2 | 4 |",1]
["| Model | Figure | NetFABB | MeshMixer | ours |\n| --- | --- | --- | --- | --- |\n| Kleinbottle | ??(f) | 5 | 3 | 5 |\n| PrincetonLamp | ??(g) | 2 | 2 | 4 |\n| RandomTriangles | ??(e) | 1 | 3 | 4 |","| Property | Humanoid | Atlas | T-Rex | Dragon |\n| --- | --- | --- | --- | --- |\n| Links | 13 | 12 | 20 | 32 |\n| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 |\n| Height(m) | 1.62 | 1.82 | 1.66 | 1.83 |\n| DegreesofFreedom | 34 | 31 | 55 | 79 |\n| StateFeatures | 197 | 184 | 262 | 418 |\n| ActionParameters | 36 | 32 | 64 | 94 |",0]
["| Model | Figure | NetFABB | MeshMixer | ours |\n| --- | --- | --- | --- | --- |\n| Kleinbottle | ??(f) | 5 | 3 | 5 |","| PrincetonLamp | ??(g) | 2 | 2 | 4 |\n| --- | --- | --- | --- | --- |\n| RandomTriangles | ??(e) | 1 | 3 | 4 |\n| DarthVader | ?? | 2 | 3 | 4 |\n| HagiaSophia | ??(a) | 1 | 2 | 4 |",1]
["| Model | Figure | NetFABB | MeshMixer | ours |\n| --- | --- | --- | --- | --- |\n| Kleinbottle | ??(f) | 5 | 3 | 5 |","| TotalMass(kg) | 45 | 169.8 | 54.5 | 72.5 |\n| --- | --- | --- | --- | --- |\n| Height(m) | 1.62 | 1.82 | 1.66 | 1.83 |\n| DegreesofFreedom | 34 | 31 | 55 | 79 |\n| StateFeatures | 197 | 184 | 262 | 418 |\n| ActionParameters | 36 | 32 | 64 | 94 |",0]
["|  | m≡0(mod3) | m≡1(mod3) | m≡2(mod3) |\n| --- | --- | --- | --- |\n| 36(0,0) | p-17-20A | p-17-8A+6B | p-17-8A-6B |\n| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |\n| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |\n| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |\n| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |\n| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |\n| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |\n| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |","| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |\n| --- | --- | --- | --- |\n| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B |",1]
["|  | m≡0(mod3) | m≡1(mod3) | m≡2(mod3) |\n| --- | --- | --- | --- |\n| 36(0,0) | p-17-20A | p-17-8A+6B | p-17-8A-6B |\n| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |\n| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |\n| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |\n| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |\n| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |\n| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |\n| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |","| l | pl | tl | pk+tk=kl1l2l+2 |\n| --- | --- | --- | --- |\n| 1 | 1 | −4 | 1×1019−4×239=63 |\n| 2 | −3 | 13 | −3×1019+13×239=50 |\n| 3 | 4 | −17 | 4×1019−17×239=13 |\n| 4 | −15 | 64 | −15×1019+64×239=11 |\n| 5 | 19 | −81 | 19×1019−81×239=2 |\n| 6 | −110 | 469 | −110×1019+469×239=1 |",0]
["|  | m≡0(mod3) | m≡1(mod3) | m≡2(mod3) |\n| --- | --- | --- | --- |\n| 36(0,0) | p-17-20A | p-17-8A+6B | p-17-8A-6B |\n| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |\n| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |","| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |\n| --- | --- | --- | --- |\n| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |\n| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |\n| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |\n| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |\n| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |\n| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B |",1]
["|  | m≡0(mod3) | m≡1(mod3) | m≡2(mod3) |\n| --- | --- | --- | --- |\n| 36(0,0) | p-17-20A | p-17-8A+6B | p-17-8A-6B |\n| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |\n| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |","| 4 | −15 | 64 | −15×1019+64×239=11 |\n| --- | --- | --- | --- |\n| 5 | 19 | −81 | 19×1019−81×239=2 |\n| 6 | −110 | 469 | −110×1019+469×239=1 |",0]
["| Objecttype | X-Coordinate | Y-Coordinate |\n| --- | --- | --- |\n| A1 | 2.5 | 4.5 |\n| A2 | 6 | 4 |","| A3 | 2 | 9 |\n| --- | --- | --- |\n| B1 | 1.5 | 3.5 |\n| B2 | 5 | 3 |\n| B3 | 5 | 4 |\n| C1 | 2.5 | 3 |\n| C2 | 6 | 3 |\n| D1 | 3 | 9 |\n| D2 | 7 | 1.5 |",1]
["| Objecttype | X-Coordinate | Y-Coordinate |\n| --- | --- | --- |\n| A1 | 2.5 | 4.5 |\n| A2 | 6 | 4 |","| YTO |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Y | A→Y | V→Y | V | A→V |\n| 40.6 | 40.8 | 45.8 | 57.5 | 58.1 |\n| 39.8 | 40.3 | 38.8 | 29.8 | 30.5 |\n| 33.3 | 33.4 | 38.8 | 28.0 | 27.9 |\n| 34.1 | 33.9 | 33.6 | 39.1 | 39.1 |\n| 35.3 | 35.3 | 38.8 | 59.0 | 59.3 |\n| 18.9 | 19.0 | 27.7 | 36.7 | 36.9 |\n| 27.0 | 27.1 | 26.7 | 46.5 | 47.4 |\n| 21.9 | 22.1 | 26.1 | 53.2 | 53.5 |\n| 17.6 | 17.9 | 17.5 | 55.6 | 55.2 |\n| 32.6 | 32.6 | 36.2 | 54.7 | 54.5 |\n| 30.1 | 30.2 | 33.0 | 46.0 | 46.2 |",0]
["| Objecttype | X-Coordinate | Y-Coordinate |\n| --- | --- | --- |\n| A1 | 2.5 | 4.5 |\n| A2 | 6 | 4 |\n| A3 | 2 | 9 |\n| B1 | 1.5 | 3.5 |","| B2 | 5 | 3 |\n| --- | --- | --- |\n| B3 | 5 | 4 |\n| C1 | 2.5 | 3 |\n| C2 | 6 | 3 |\n| D1 | 3 | 9 |\n| D2 | 7 | 1.5 |",1]
["| Objecttype | X-Coordinate | Y-Coordinate |\n| --- | --- | --- |\n| A1 | 2.5 | 4.5 |\n| A2 | 6 | 4 |\n| A3 | 2 | 9 |\n| B1 | 1.5 | 3.5 |","| 18.9 | 19.0 | 27.7 | 36.7 | 36.9 |\n| --- | --- | --- | --- | --- |\n| 27.0 | 27.1 | 26.7 | 46.5 | 47.4 |\n| 21.9 | 22.1 | 26.1 | 53.2 | 53.5 |\n| 17.6 | 17.9 | 17.5 | 55.6 | 55.2 |\n| 32.6 | 32.6 | 36.2 | 54.7 | 54.5 |\n| 30.1 | 30.2 | 33.0 | 46.0 | 46.2 |",0]
["| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |","| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",1]
["| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |","|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |","| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| --- | --- | --- | --- | --- | --- | --- |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",1]
["| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |","| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| BusValues |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bus | p | q | v | θ,deg. |","| 1 | 101 | 5 | 1.100 | 0.000 |\n| --- | --- | --- | --- | --- |\n| 2 | 0 | 0 | 1.090 | -1.434 |\n| 3 | 0 | 0 | 1.080 | -2.895 |",1]
["| BusValues |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bus | p | q | v | θ,deg. |","|  | θ1 | θ2 | θ3 | δS |\n| --- | --- | --- | --- | --- |\n| m1 | 1/3 | 1/3 | 1/3 | 0.423 |\n| m2 | 0.4 | 0.4 | 0.2 | 0.471 |\n| m3 | 0.45 | 0.45 | 0.10 | 0.493 |\n| m4 | 0.45 | 0.40 | 0.15 | 0.508 |\n| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |\n| m7 | 0.6 | 0.3 | 0.1 | 0.639 |\n| m8 | 1 | 0 | 0 | 1 |",0]
["| BusValues |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bus | p | q | v | θ,deg. |\n| 1 | 101 | 5 | 1.100 | 0.000 |","| 2 | 0 | 0 | 1.090 | -1.434 |\n| --- | --- | --- | --- | --- |\n| 3 | 0 | 0 | 1.080 | -2.895 |",1]
["| BusValues |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bus | p | q | v | θ,deg. |\n| 1 | 101 | 5 | 1.100 | 0.000 |","| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| --- | --- | --- | --- | --- |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |\n| m7 | 0.6 | 0.3 | 0.1 | 0.639 |\n| m8 | 1 | 0 | 0 | 1 |",0]
["| No. | Type | FamilyName | #ofImg |\n| --- | --- | --- | --- |\n| 1 | Worm | Allaple.L | 1591 |","| 2 | Worm | Allaple.A | 2949 |\n| --- | --- | --- | --- |\n| 3 | Worm | Yuner.A | 800 |\n| 4 | PWS | lolyda.AA1 | 213 |\n| 5 | PWS | lolyda.AA2 | 184 |\n| 6 | PWS | lolyda.AA3 | 123 |\n| 7 | Trojan | C2Lop.P | 146 |\n| 8 | Trojan | C2Lop.gen!G | 200 |\n| 9 | Dialer | Instantaccess | 431 |\n| 10 | TrojanDownloader | Swizzor.gen!I | 132 |\n| 11 | TrojanDownloader | Swizzor.gen!E | 128 |\n| 12 | Worm | VB.AT | 408 |\n| 13 | Rogue | Fakerean | 381 |\n| 14 | Trojan | Alueron.gen!J | 198 |\n| 15 | Trojan | Malex.gen!J | 136 |\n| 16 | PWS | Lolyda.AT | 159 |\n| 17 | Dialer | Adialer.C | 125 |\n| 18 | TrojanDownloader | Wintrim.BX | 97 |\n| 19 | Dialer | Dialplatform.B | 177 |\n| 20 | TrojanDownloader | Dontovo.A | 162 |\n| 21 | TrojanDownloader | Obfuscator.AD | 142 |\n| 22 | Backdoor | Agent.FYI | 116 |\n| 23 | Worm:AutoIT | Autorun.K | 106 |\n| 24 | Backdoor | Rbot!gen | 158 |\n| 25 | Trojan | Skintrim.N | 80 |",1]
["| No. | Type | FamilyName | #ofImg |\n| --- | --- | --- | --- |\n| 1 | Worm | Allaple.L | 1591 |","| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |\n| Darkness | 1878 | CommercialDDoSbot |\n| Ddoser | 502 | CommercialDDoSbot |\n| jkddos | 333 | ComercialDDoSbot |\n| N0ise | 431 | CommericalDDoSbot |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| No. | Type | FamilyName | #ofImg |\n| --- | --- | --- | --- |\n| 1 | Worm | Allaple.L | 1591 |\n| 2 | Worm | Allaple.A | 2949 |\n| 3 | Worm | Yuner.A | 800 |\n| 4 | PWS | lolyda.AA1 | 213 |\n| 5 | PWS | lolyda.AA2 | 184 |\n| 6 | PWS | lolyda.AA3 | 123 |\n| 7 | Trojan | C2Lop.P | 146 |\n| 8 | Trojan | C2Lop.gen!G | 200 |\n| 9 | Dialer | Instantaccess | 431 |","| 10 | TrojanDownloader | Swizzor.gen!I | 132 |\n| --- | --- | --- | --- |\n| 11 | TrojanDownloader | Swizzor.gen!E | 128 |\n| 12 | Worm | VB.AT | 408 |\n| 13 | Rogue | Fakerean | 381 |\n| 14 | Trojan | Alueron.gen!J | 198 |\n| 15 | Trojan | Malex.gen!J | 136 |\n| 16 | PWS | Lolyda.AT | 159 |\n| 17 | Dialer | Adialer.C | 125 |\n| 18 | TrojanDownloader | Wintrim.BX | 97 |\n| 19 | Dialer | Dialplatform.B | 177 |\n| 20 | TrojanDownloader | Dontovo.A | 162 |\n| 21 | TrojanDownloader | Obfuscator.AD | 142 |\n| 22 | Backdoor | Agent.FYI | 116 |\n| 23 | Worm:AutoIT | Autorun.K | 106 |\n| 24 | Backdoor | Rbot!gen | 158 |\n| 25 | Trojan | Skintrim.N | 80 |",1]
["| No. | Type | FamilyName | #ofImg |\n| --- | --- | --- | --- |\n| 1 | Worm | Allaple.L | 1591 |\n| 2 | Worm | Allaple.A | 2949 |\n| 3 | Worm | Yuner.A | 800 |\n| 4 | PWS | lolyda.AA1 | 213 |\n| 5 | PWS | lolyda.AA2 | 184 |\n| 6 | PWS | lolyda.AA3 | 123 |\n| 7 | Trojan | C2Lop.P | 146 |\n| 8 | Trojan | C2Lop.gen!G | 200 |\n| 9 | Dialer | Instantaccess | 431 |","| N0ise | 431 | CommericalDDoSbot |\n| --- | --- | --- |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| Method | Pedestrians | Cyclists |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Easy | Mod | Hard | Easy | Mod | Hard |  |\n| FasterR-CNN | 78.35 | 65.91 | 61.19 | 71.41 | 62.81 | 55.44 |\n| 3DOP | 82.36 | 67.46 | 64.71 | 80.17 | 68.81 | 61.36 |\n| IVA | 83.03 | 70.63 | 64.68 | 77.63 | 67.36 | 59.62 |","| GN | 80.73 | 71.55 | 64.82 | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| SubCNN | 83.17 | 71.34 | 66.36 | 77.82 | 70.77 | 62.71 |\n| SDP+RPN | 79.98 | 70.20 | 64.84 | 81.05 | 73.08 | 64.88 |\n| MS-CNN | 83.70 | 73.62 | 68.28 | 82.34 | 74.45 | 64.91 |\n| RRC | 84.14 | 75.33 | 70.39 | 84.96 | 76.47 | 65.46 |\n| Ours | 87.69 | 79.75 | 74.56 | 86.06 | 78.21 | 69.47 |",1]
["| Method | Pedestrians | Cyclists |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Easy | Mod | Hard | Easy | Mod | Hard |  |\n| FasterR-CNN | 78.35 | 65.91 | 61.19 | 71.41 | 62.81 | 55.44 |\n| 3DOP | 82.36 | 67.46 | 64.71 | 80.17 | 68.81 | 61.36 |\n| IVA | 83.03 | 70.63 | 64.68 | 77.63 | 67.36 | 59.62 |","| Methods | Easy | Moderate | Hard |\n| --- | --- | --- | --- |\n| Car |  |  |  |\n| SelectiveSearch | 58.17 | 42.12 | 37.62 |\n| EdgeBoxes | 81.40 | 61.84 | 55.68 |\n| RPN | 98.84 | 97.37 | 95.31 |\n| Ours | 99.27 | 96.28 | 93.14 |\n| Pedestrian |  |  |  |\n| SelectiveSearch | 68.95 | 57.65 | 52.57 |\n| EdgeBoxes | 86.15 | 71.88 | 65.39 |\n| RPN | 98.88 | 91.69 | 88.64 |\n| Ours | 99.44 | 93.46 | 91.02 |\n| Cyclist |  |  |  |\n| SelectiveSearch | 57.05 | 49.59 | 49.44 |\n| EdgeBoxes | 56.11 | 46.52 | 45.72 |\n| RPN | 96.55 | 91.80 | 89.41 |\n| Ours | 99.67 | 93.03 | 91.64 |",0]
["| Method | Pedestrians | Cyclists |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Easy | Mod | Hard | Easy | Mod | Hard |  |\n| FasterR-CNN | 78.35 | 65.91 | 61.19 | 71.41 | 62.81 | 55.44 |","| 3DOP | 82.36 | 67.46 | 64.71 | 80.17 | 68.81 | 61.36 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IVA | 83.03 | 70.63 | 64.68 | 77.63 | 67.36 | 59.62 |\n| GN | 80.73 | 71.55 | 64.82 | - | - | - |\n| SubCNN | 83.17 | 71.34 | 66.36 | 77.82 | 70.77 | 62.71 |\n| SDP+RPN | 79.98 | 70.20 | 64.84 | 81.05 | 73.08 | 64.88 |\n| MS-CNN | 83.70 | 73.62 | 68.28 | 82.34 | 74.45 | 64.91 |\n| RRC | 84.14 | 75.33 | 70.39 | 84.96 | 76.47 | 65.46 |\n| Ours | 87.69 | 79.75 | 74.56 | 86.06 | 78.21 | 69.47 |",1]
["| Method | Pedestrians | Cyclists |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Easy | Mod | Hard | Easy | Mod | Hard |  |\n| FasterR-CNN | 78.35 | 65.91 | 61.19 | 71.41 | 62.81 | 55.44 |","| SelectiveSearch | 68.95 | 57.65 | 52.57 |\n| --- | --- | --- | --- |\n| EdgeBoxes | 86.15 | 71.88 | 65.39 |\n| RPN | 98.88 | 91.69 | 88.64 |\n| Ours | 99.44 | 93.46 | 91.02 |\n| Cyclist |  |  |  |\n| SelectiveSearch | 57.05 | 49.59 | 49.44 |\n| EdgeBoxes | 56.11 | 46.52 | 45.72 |\n| RPN | 96.55 | 91.80 | 89.41 |\n| Ours | 99.67 | 93.03 | 91.64 |",0]
["| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| --- | --- | --- | --- |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 0.81127<br>0.761437<br>0.621454<br>0.38012<br>0.5319112<br>0.640110<br>0.890117<br>0.681383<br>0.5214186<br>0.91025<br>0.78013<br>0.500223<br>0.4815106<br>0.4714152<br>0.4913160<br>0.41128k<br>0.4013518<br>0.391313k<br>0.391313k<br>0.5214186<br>0.440315 | 0.94015<br>0.880241<br>0.720354<br>0.49019<br>0.661570<br>0.720113<br>0.980127<br>0.781385<br>0.6013137<br>0.97016<br>0.84013<br>0.590148<br>0.5514185<br>0.530333<br>0.5502103<br>0.4812233<br>0.490291<br>0.4812518<br>0.4812574<br>0.6013137<br>0.590235 | 0.99017<br>0.930244<br>0.840243<br>0.570114<br>0.790347<br>0.800142<br>10130<br>0.870171<br>0.6812158<br>1016<br>0.89015<br>0.660166<br>0.6203158<br>0.610340<br>0.6102125<br>0.5902110<br>0.590170<br>0.560188<br>0.5601108<br>0.6812158<br>0.660153 |\n| average | 0.570.673.051725 | 0.660.382.14114 | 0.740.101.5769 |\n| ratio=0.25ratio=0.3ratio=0.35 |  |  |  |","| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| --- | --- | --- | --- |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 1018<br>10149<br>0.970136<br>0.740131<br>0.950258<br>0.9301143<br>10130<br>0.970172<br>0.8202106<br>1016<br>0.99015<br>0.8001185<br>0.7802128<br>0.7402114<br>0.7401193<br>0.7301132<br>0.710171<br>0.710189<br>0.7101115<br>0.8202106<br>0.8301245 | 1018<br>10149<br>0.990138<br>0.840120<br>0.990156<br>0.9701165<br>10130<br>10172<br>0.9201112<br>1016<br>1015<br>0.9101227<br>0.9002142<br>0.880167<br>0.8801172<br>0.8901145<br>0.820178<br>0.830191<br>0.8301121<br>0.9201112<br>0.9001407 | 1018<br>10149<br>10138<br>0.900120<br>10156<br>101236<br>10130<br>10172<br>0.9501119<br>1016<br>1015<br>0.9501240<br>0.9401129<br>0.940170<br>0.9401173<br>0.9501148<br>0.890178<br>0.900195<br>0.9001122<br>0.9501119<br>0.96011k |\n| average | 0.8501.2492 | 0.9301.05101 | 0.9601139 |",1]
["| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| --- | --- | --- | --- |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 0.81127<br>0.761437<br>0.621454<br>0.38012<br>0.5319112<br>0.640110<br>0.890117<br>0.681383<br>0.5214186<br>0.91025<br>0.78013<br>0.500223<br>0.4815106<br>0.4714152<br>0.4913160<br>0.41128k<br>0.4013518<br>0.391313k<br>0.391313k<br>0.5214186<br>0.440315 | 0.94015<br>0.880241<br>0.720354<br>0.49019<br>0.661570<br>0.720113<br>0.980127<br>0.781385<br>0.6013137<br>0.97016<br>0.84013<br>0.590148<br>0.5514185<br>0.530333<br>0.5502103<br>0.4812233<br>0.490291<br>0.4812518<br>0.4812574<br>0.6013137<br>0.590235 | 0.99017<br>0.930244<br>0.840243<br>0.570114<br>0.790347<br>0.800142<br>10130<br>0.870171<br>0.6812158<br>1016<br>0.89015<br>0.660166<br>0.6203158<br>0.610340<br>0.6102125<br>0.5902110<br>0.590170<br>0.560188<br>0.5601108<br>0.6812158<br>0.660153 |\n| average | 0.570.673.051725 | 0.660.382.14114 | 0.740.101.5769 |\n| ratio=0.25ratio=0.3ratio=0.35 |  |  |  |","| baseline | weakly | weakly<br>cleaned |\n| --- | --- | --- |\n| 48.3 | 8.5 | 15.9 |\n| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |\n| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |\n| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 |",0]
["| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| --- | --- | --- | --- |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 0.81127<br>0.761437<br>0.621454<br>0.38012<br>0.5319112<br>0.640110<br>0.890117<br>0.681383<br>0.5214186<br>0.91025<br>0.78013<br>0.500223<br>0.4815106<br>0.4714152<br>0.4913160<br>0.41128k<br>0.4013518<br>0.391313k<br>0.391313k<br>0.5214186<br>0.440315 | 0.94015<br>0.880241<br>0.720354<br>0.49019<br>0.661570<br>0.720113<br>0.980127<br>0.781385<br>0.6013137<br>0.97016<br>0.84013<br>0.590148<br>0.5514185<br>0.530333<br>0.5502103<br>0.4812233<br>0.490291<br>0.4812518<br>0.4812574<br>0.6013137<br>0.590235 | 0.99017<br>0.930244<br>0.840243<br>0.570114<br>0.790347<br>0.800142<br>10130<br>0.870171<br>0.6812158<br>1016<br>0.89015<br>0.660166<br>0.6203158<br>0.610340<br>0.6102125<br>0.5902110<br>0.590170<br>0.560188<br>0.5601108<br>0.6812158<br>0.660153 |","| average | 0.570.673.051725 | 0.660.382.14114 | 0.740.101.5769 |\n| --- | --- | --- | --- |\n| ratio=0.25ratio=0.3ratio=0.35 |  |  |  |\n| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 1018<br>10149<br>0.970136<br>0.740131<br>0.950258<br>0.9301143<br>10130<br>0.970172<br>0.8202106<br>1016<br>0.99015<br>0.8001185<br>0.7802128<br>0.7402114<br>0.7401193<br>0.7301132<br>0.710171<br>0.710189<br>0.7101115<br>0.8202106<br>0.8301245 | 1018<br>10149<br>0.990138<br>0.840120<br>0.990156<br>0.9701165<br>10130<br>10172<br>0.9201112<br>1016<br>1015<br>0.9101227<br>0.9002142<br>0.880167<br>0.8801172<br>0.8901145<br>0.820178<br>0.830191<br>0.8301121<br>0.9201112<br>0.9001407 | 1018<br>10149<br>10138<br>0.900120<br>10156<br>101236<br>10130<br>10172<br>0.9501119<br>1016<br>1015<br>0.9501240<br>0.9401129<br>0.940170<br>0.9401173<br>0.9501148<br>0.890178<br>0.900195<br>0.9001122<br>0.9501119<br>0.96011k |\n| average | 0.8501.2492 | 0.9301.05101 | 0.9601139 |",1]
["| instance | sizeoptprfails | sizeoptprfails | sizeoptprfails |\n| --- | --- | --- | --- |\n| rbg010a<br>rbg016a<br>rbg016b<br>rbg017.2<br>rbg017<br>rbg017a<br>rbg019a<br>rbg019b<br>rbg019c<br>rbg019d<br>rbg020a<br>rbg021.2<br>rbg021.3<br>rbg021.4<br>rbg021.5<br>rbg021.6<br>rbg021.7<br>rbg021.8<br>rbg021.9<br>rbg021<br>rbg027a | 0.81127<br>0.761437<br>0.621454<br>0.38012<br>0.5319112<br>0.640110<br>0.890117<br>0.681383<br>0.5214186<br>0.91025<br>0.78013<br>0.500223<br>0.4815106<br>0.4714152<br>0.4913160<br>0.41128k<br>0.4013518<br>0.391313k<br>0.391313k<br>0.5214186<br>0.440315 | 0.94015<br>0.880241<br>0.720354<br>0.49019<br>0.661570<br>0.720113<br>0.980127<br>0.781385<br>0.6013137<br>0.97016<br>0.84013<br>0.590148<br>0.5514185<br>0.530333<br>0.5502103<br>0.4812233<br>0.490291<br>0.4812518<br>0.4812574<br>0.6013137<br>0.590235 | 0.99017<br>0.930244<br>0.840243<br>0.570114<br>0.790347<br>0.800142<br>10130<br>0.870171<br>0.6812158<br>1016<br>0.89015<br>0.660166<br>0.6203158<br>0.610340<br>0.6102125<br>0.5902110<br>0.590170<br>0.560188<br>0.5601108<br>0.6812158<br>0.660153 |","| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |\n| --- | --- | --- |\n| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |\n| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 |",0]
["| category | model | AP3D | APloc |\n| --- | --- | --- | --- |\n| easymoderatehard | easymoderatehard |  |  |","| Car | global-no-im<br>dense<br>ﬁnal | 55.6839.8533.71<br>74.7761.4251.88<br>77.9263.0053.27 | 72.3555.4247.41<br>47.2128.8726.99<br>49.3429.4226.98 |\n| --- | --- | --- | --- |\n| Pedestrian | global-no-im<br>dense<br>ﬁnal | 3.072.583.58<br>31.9626.8222.59<br>33.3628.0423.38 | 3.072.582.14<br>37.0831.7127.04<br>37.9132.3527.35 |\n| Cyclist | global-no-im<br>dense<br>ﬁnal | 4.612.583.58<br>47.2128.8726.99<br>49.3429.4226.98 | 6.933.764.7<br>51.4531.6529.59<br>54.0232.7730.19 |",1]
["| category | model | AP3D | APloc |\n| --- | --- | --- | --- |\n| easymoderatehard | easymoderatehard |  |  |","| Mode | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| I.AllModes | 52973 | 2.13 | 29.40 | 9.99 | 1313.79 |\n| A.Walk | 14303 | 3.99 | 6.37 | 1.37 | 3.77 |\n| B.Bicycle | 5581 | 2.72 | 6.37 | 3.47 | 30.06 |\n| C.Auto.Driver | 18484 | 2.29 | 39.90 | 13.06 | 1331.84 |\n| D.PublicTrans. | 6944 | 1.97 | 27.98 | 16.34 | 2875.92 |\n| Auto.Passenger | 7658 | 2.00 | 24.32 | 17.69 | 2949.11 |",0]
["| category | model | AP3D | APloc |\n| --- | --- | --- | --- |\n| easymoderatehard | easymoderatehard |  |  |\n| Car | global-no-im<br>dense<br>ﬁnal | 55.6839.8533.71<br>74.7761.4251.88<br>77.9263.0053.27 | 72.3555.4247.41<br>47.2128.8726.99<br>49.3429.4226.98 |","| Pedestrian | global-no-im<br>dense<br>ﬁnal | 3.072.583.58<br>31.9626.8222.59<br>33.3628.0423.38 | 3.072.582.14<br>37.0831.7127.04<br>37.9132.3527.35 |\n| --- | --- | --- | --- |\n| Cyclist | global-no-im<br>dense<br>ﬁnal | 4.612.583.58<br>47.2128.8726.99<br>49.3429.4226.98 | 6.933.764.7<br>51.4531.6529.59<br>54.0232.7730.19 |",1]
["| category | model | AP3D | APloc |\n| --- | --- | --- | --- |\n| easymoderatehard | easymoderatehard |  |  |\n| Car | global-no-im<br>dense<br>ﬁnal | 55.6839.8533.71<br>74.7761.4251.88<br>77.9263.0053.27 | 72.3555.4247.41<br>47.2128.8726.99<br>49.3429.4226.98 |","| D.PublicTrans. | 6944 | 1.97 | 27.98 | 16.34 | 2875.92 |\n| --- | --- | --- | --- | --- | --- |\n| Auto.Passenger | 7658 | 2.00 | 24.32 | 17.69 | 2949.11 |",0]
["| Filter | ITDCS | MFCS | IGB | GB |\n| --- | --- | --- | --- | --- |\n| Canﬁl1 | 0.78 | 2.44 | 0.89 | 55.73 |\n| Canﬁl2 | 0.47 | 2.17 | 0.66 | 49.33 |\n| Canﬁl3 | 1.01 | 8.10 | 3.16 | • |\n| Canﬁl4 | 0.99 | 2.24 | 0.62 | 26.10 |\n| Canﬁl5 | 0.58 | 2.80 | 3.00 | • |\n| Canﬁl6 | 0.58 | 2.14 | 2.81 | • |\n| Canﬁl7 | 0.16 | 0.35 | 0.27 | 16.64 |","| Canﬁl8 | 0.26 | 5.81 | 0.34 | 33.35 |\n| --- | --- | --- | --- | --- |\n| Canﬁl9 | 6.83 | 75.62 | 8.54 | • |\n| Canﬁl10 | 0.70 | 3.04 | 4.87 | • |",1]
["| Filter | ITDCS | MFCS | IGB | GB |\n| --- | --- | --- | --- | --- |\n| Canﬁl1 | 0.78 | 2.44 | 0.89 | 55.73 |\n| Canﬁl2 | 0.47 | 2.17 | 0.66 | 49.33 |\n| Canﬁl3 | 1.01 | 8.10 | 3.16 | • |\n| Canﬁl4 | 0.99 | 2.24 | 0.62 | 26.10 |\n| Canﬁl5 | 0.58 | 2.80 | 3.00 | • |\n| Canﬁl6 | 0.58 | 2.14 | 2.81 | • |\n| Canﬁl7 | 0.16 | 0.35 | 0.27 | 16.64 |","| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["| Filter | ITDCS | MFCS | IGB | GB |\n| --- | --- | --- | --- | --- |\n| Canﬁl1 | 0.78 | 2.44 | 0.89 | 55.73 |\n| Canﬁl2 | 0.47 | 2.17 | 0.66 | 49.33 |\n| Canﬁl3 | 1.01 | 8.10 | 3.16 | • |","| Canﬁl4 | 0.99 | 2.24 | 0.62 | 26.10 |\n| --- | --- | --- | --- | --- |\n| Canﬁl5 | 0.58 | 2.80 | 3.00 | • |\n| Canﬁl6 | 0.58 | 2.14 | 2.81 | • |\n| Canﬁl7 | 0.16 | 0.35 | 0.27 | 16.64 |\n| Canﬁl8 | 0.26 | 5.81 | 0.34 | 33.35 |\n| Canﬁl9 | 6.83 | 75.62 | 8.54 | • |\n| Canﬁl10 | 0.70 | 3.04 | 4.87 | • |",1]
["| Filter | ITDCS | MFCS | IGB | GB |\n| --- | --- | --- | --- | --- |\n| Canﬁl1 | 0.78 | 2.44 | 0.89 | 55.73 |\n| Canﬁl2 | 0.47 | 2.17 | 0.66 | 49.33 |\n| Canﬁl3 | 1.01 | 8.10 | 3.16 | • |","| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",0]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7878 |  |  |  |  |  |\n| FS.cont | 0.726 | -0.0618 | 0.0807 | 11 | 3 | 0.2357 |\n| TOM.cont | 0.7664 | -0.0213 | 0.116 | 28 | 8 | 0.1663 |\n| HC.cont | 0.8119 | 0.0242 | 0.1976 | 68 | 21 | 0.0822 |\n| Original.binary | 0.7741 | -0.0137 | 0.0929 | 47 | 5 | 0.2482 |\n| Jaccard | 0.7285 | -0.0592 | 0.0869 | 11 | 3 | 0.235 |\n| Pvalue | 0.5597 | -0.2281 | 0.0509 | 2 | 1 | 0.4996 |\n| FS.binary | 0.6204 | -0.1673 | 0.0738 | 3 | 1 | 0.4229 |","| TOM.binary | 0.7735 | -0.0143 | 0.2327 | 44 | 6 | 0.1913 |\n| --- | --- | --- | --- | --- | --- | --- |\n| HC.binary | 0.7833 | -0.0044 | 0.1311 | 44 | 14 | 0.1357 |",1]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7878 |  |  |  |  |  |\n| FS.cont | 0.726 | -0.0618 | 0.0807 | 11 | 3 | 0.2357 |\n| TOM.cont | 0.7664 | -0.0213 | 0.116 | 28 | 8 | 0.1663 |\n| HC.cont | 0.8119 | 0.0242 | 0.1976 | 68 | 21 | 0.0822 |\n| Original.binary | 0.7741 | -0.0137 | 0.0929 | 47 | 5 | 0.2482 |\n| Jaccard | 0.7285 | -0.0592 | 0.0869 | 11 | 3 | 0.235 |\n| Pvalue | 0.5597 | -0.2281 | 0.0509 | 2 | 1 | 0.4996 |\n| FS.binary | 0.6204 | -0.1673 | 0.0738 | 3 | 1 | 0.4229 |","| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7944 |  |  |  |  |  |\n| FS.cont | 0.7941 | −0.0003 | 0.0846 | 83 | 3 | 0.0662 |\n| TOM.cont | 0.8034 | 0.0089 | 0.0636 | 105 | 2 | 0.1782 |\n| HC.cont | 0.8266 | 0.0281 | 0.2244 | 109 | 34 | 0.1199 |\n| Original.binary | 0.7847 | −0.0097 | 0.0502 | 48 | 1 | 0.2222 |\n| Jaccard | 0.7291 | −0.0653 | 0.2738 | 28 | 18 | 0.4759 |\n| Pvalue | 0.6374 | −0.1570 | 0.1740 | 5 | 3 | 0.5691 |\n| FS.binary | 0.6750 | −0.1195 | 0.1740 | 5 | 1 | 0.4945 |\n| TOM.binary | 0.7365 | −0.0579 | 0.3332 | 23 | 9 | 0.3227 |\n| HC.binary | 0.7578 | −0.0367 | 0.2989 | 35 | 25 | 0.3773 |",0]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7878 |  |  |  |  |  |\n| FS.cont | 0.726 | -0.0618 | 0.0807 | 11 | 3 | 0.2357 |\n| TOM.cont | 0.7664 | -0.0213 | 0.116 | 28 | 8 | 0.1663 |\n| HC.cont | 0.8119 | 0.0242 | 0.1976 | 68 | 21 | 0.0822 |\n| Original.binary | 0.7741 | -0.0137 | 0.0929 | 47 | 5 | 0.2482 |\n| Jaccard | 0.7285 | -0.0592 | 0.0869 | 11 | 3 | 0.235 |\n| Pvalue | 0.5597 | -0.2281 | 0.0509 | 2 | 1 | 0.4996 |","| FS.binary | 0.6204 | -0.1673 | 0.0738 | 3 | 1 | 0.4229 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TOM.binary | 0.7735 | -0.0143 | 0.2327 | 44 | 6 | 0.1913 |\n| HC.binary | 0.7833 | -0.0044 | 0.1311 | 44 | 14 | 0.1357 |",1]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7878 |  |  |  |  |  |\n| FS.cont | 0.726 | -0.0618 | 0.0807 | 11 | 3 | 0.2357 |\n| TOM.cont | 0.7664 | -0.0213 | 0.116 | 28 | 8 | 0.1663 |\n| HC.cont | 0.8119 | 0.0242 | 0.1976 | 68 | 21 | 0.0822 |\n| Original.binary | 0.7741 | -0.0137 | 0.0929 | 47 | 5 | 0.2482 |\n| Jaccard | 0.7285 | -0.0592 | 0.0869 | 11 | 3 | 0.235 |\n| Pvalue | 0.5597 | -0.2281 | 0.0509 | 2 | 1 | 0.4996 |","| Pvalue | 0.6374 | −0.1570 | 0.1740 | 5 | 3 | 0.5691 |\n| --- | --- | --- | --- | --- | --- | --- |\n| FS.binary | 0.6750 | −0.1195 | 0.1740 | 5 | 1 | 0.4945 |\n| TOM.binary | 0.7365 | −0.0579 | 0.3332 | 23 | 9 | 0.3227 |\n| HC.binary | 0.7578 | −0.0367 | 0.2989 | 35 | 25 | 0.3773 |",0]
["| NumberofVertices |\n| --- |\n| 5M |\n| 41M |\n| 34M |\n| 134M |\n| 101M |","| 0.5M |\n| --- |\n| 1M |\n| 2M |",1]
["| NumberofVertices |\n| --- |\n| 5M |\n| 41M |\n| 34M |\n| 134M |\n| 101M |","| No.ofbuses | 14-bus | 57-bus | 118-bus |\n| --- | --- | --- | --- |\n| No.oflines | 20 | 80 | 186 |\n| Totalno.ofmeasurements | 20 | 80 | 180 |\n| No.ofinjectmeasurements | 8 | 30 | 70 |\n| No.ofﬂowmeasurements | 12 | 50 | 110 |\n| No.ofunmeasuredlines | 1 | 2 | 7 |",0]
["| NumberofVertices |\n| --- |\n| 5M |\n| 41M |\n| 34M |\n| 134M |","| 101M |\n| --- |\n| 0.5M |\n| 1M |\n| 2M |",1]
["| NumberofVertices |\n| --- |\n| 5M |\n| 41M |\n| 34M |\n| 134M |","| Totalno.ofmeasurements | 20 | 80 | 180 |\n| --- | --- | --- | --- |\n| No.ofinjectmeasurements | 8 | 30 | 70 |\n| No.ofﬂowmeasurements | 12 | 50 | 110 |\n| No.ofunmeasuredlines | 1 | 2 | 7 |",0]
["| STPair | ClassiﬁcationModel | Accuracy |\n| --- | --- | --- |\n| (big,City) | DT | 0.925 |\n| (experienced,Athlete) | RBF-SVM | 0.80 |","| (cute,Animal) | RBF-SVM/RF/DT | 0.685 |\n| --- | --- | --- |\n| (old,Building) | RBF-SVM | 0.89 |\n| (popular,Film) | DT | 0.79 |",1]
["| STPair | ClassiﬁcationModel | Accuracy |\n| --- | --- | --- |\n| (big,City) | DT | 0.925 |\n| (experienced,Athlete) | RBF-SVM | 0.80 |","| Model | Sensitivity | Speciﬁcity | Accuracy |\n| --- | --- | --- | --- |\n| SVM(best) | 0.8259 | 0.8324 | 0.8291 |\n| LR(best) | 0.7121 | 0.6879 | 0.6991 |\n| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",0]
["| STPair | ClassiﬁcationModel | Accuracy |\n| --- | --- | --- |\n| (big,City) | DT | 0.925 |\n| (experienced,Athlete) | RBF-SVM | 0.80 |\n| (cute,Animal) | RBF-SVM/RF/DT | 0.685 |","| (old,Building) | RBF-SVM | 0.89 |\n| --- | --- | --- |\n| (popular,Film) | DT | 0.79 |",1]
["| STPair | ClassiﬁcationModel | Accuracy |\n| --- | --- | --- |\n| (big,City) | DT | 0.925 |\n| (experienced,Athlete) | RBF-SVM | 0.80 |\n| (cute,Animal) | RBF-SVM/RF/DT | 0.685 |","| LR(best) | 0.7121 | 0.6879 | 0.6991 |\n| --- | --- | --- | --- |\n| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",0]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |","| 79.88 | 94.45 | 98.15 | 0.411 |\n| --- | --- | --- | --- |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",1]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |","| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 80.39 | 94.67 | 98.31 | 0.400 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 79.69 | 94.28 | 98.09 | 0.411 |",0]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |","| 78.72 | 94.13 | 98.08 | 0.423 |\n| --- | --- | --- | --- |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",1]
["| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |","| 80.55 | 94.65 | 98.26 | 0.399 |\n| --- | --- | --- | --- |\n| 80.39 | 94.67 | 98.31 | 0.400 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 79.69 | 94.28 | 98.09 | 0.411 |",0]
["|  | noFBsPCAdenoising | FBsPCAdenoising |\n| --- | --- | --- |\n| RFA/K-means | 0.09 | 0.48 |","| MSA/MRA | 0.87 | 0.95 |\n| --- | --- | --- |\n| EMAN2 | 0.45 | 0.76 |\n| Xmipp | 0.68 | 0.96 |",1]
["|  | noFBsPCAdenoising | FBsPCAdenoising |\n| --- | --- | --- |\n| RFA/K-means | 0.09 | 0.48 |","|  | RFA/K-means | MSA/MRA | Relion | EMAN2 | Xmipp | ASPIRE |\n| --- | --- | --- | --- | --- | --- | --- |\n| SNR=1/50 | 0.45 | 0.97 | 0.79 | 0.74 | 0.83 | 1.00 |\n| SNR=1/100 | 0.09 | 0.87 | 0.70 | 0.45 | 0.68 | 0.99 |\n| SNR=1/150 | 0.07 | 0.67 | 0.52 | 0.13 | 0.48 | 0.90 |\n| Timing(hrs) | 1.5 | 7.5 | 16 | 12 | 42 | 0.5 |",0]
["|  | noFBsPCAdenoising | FBsPCAdenoising |\n| --- | --- | --- |\n| RFA/K-means | 0.09 | 0.48 |\n| MSA/MRA | 0.87 | 0.95 |","| EMAN2 | 0.45 | 0.76 |\n| --- | --- | --- |\n| Xmipp | 0.68 | 0.96 |",1]
["|  | noFBsPCAdenoising | FBsPCAdenoising |\n| --- | --- | --- |\n| RFA/K-means | 0.09 | 0.48 |\n| MSA/MRA | 0.87 | 0.95 |","| SNR=1/100 | 0.09 | 0.87 | 0.70 | 0.45 | 0.68 | 0.99 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SNR=1/150 | 0.07 | 0.67 | 0.52 | 0.13 | 0.48 | 0.90 |\n| Timing(hrs) | 1.5 | 7.5 | 16 | 12 | 42 | 0.5 |",0]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |","| Orkut | undirected | 3.1M | 117M |\n| --- | --- | --- | --- |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",1]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |","| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |",0]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |","| Orkut | undirected | 3.1M | 117M |\n| --- | --- | --- | --- |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",1]
["| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |","| LiveJournal | undirected | 4.8M | 69M |\n| --- | --- | --- | --- |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |",0]
["|  | CIFAR-10 | CIFAR-100 | ImageNet32 |\n| --- | --- | --- | --- |\n| Student | 7.46 | 28.52 | 48.2 |","| Teacher | 4.19 | 20.62 | 38.41 |\n| --- | --- | --- | --- |\n| KD(T=1)<br>KD(T=2)<br>KD(T=5)<br>KD(T=10) | 7.27<br>7.3<br>7.02<br>6.94 | 28.62<br>28.33<br>27.06<br>27.07 | 49.37<br>49.48<br>49.63<br>51.12 |\n| Ours | 6.09 | 25.75 | 47.39 |",1]
["|  | CIFAR-10 | CIFAR-100 | ImageNet32 |\n| --- | --- | --- | --- |\n| Student | 7.46 | 28.52 | 48.2 |","|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["|  | CIFAR-10 | CIFAR-100 | ImageNet32 |\n| --- | --- | --- | --- |\n| Student | 7.46 | 28.52 | 48.2 |\n| Teacher | 4.19 | 20.62 | 38.41 |","| KD(T=1)<br>KD(T=2)<br>KD(T=5)<br>KD(T=10) | 7.27<br>7.3<br>7.02<br>6.94 | 28.62<br>28.33<br>27.06<br>27.07 | 49.37<br>49.48<br>49.63<br>51.12 |\n| --- | --- | --- | --- |\n| Ours | 6.09 | 25.75 | 47.39 |",1]
["|  | CIFAR-10 | CIFAR-100 | ImageNet32 |\n| --- | --- | --- | --- |\n| Student | 7.46 | 28.52 | 48.2 |\n| Teacher | 4.19 | 20.62 | 38.41 |","| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["| 1 | 3 |\n| --- | --- |\n| 2 | 5 |\n| 3 | 10 |\n| 4 | 27 |\n| 5 | 119 |","| 6 | 1113 |\n| --- | --- |\n| 7 | 29375 |\n| 8 | 2730166 |",1]
["| 1 | 3 |\n| --- | --- |\n| 2 | 5 |\n| 3 | 10 |\n| 4 | 27 |\n| 5 | 119 |","| 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |\n| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",0]
["| 1 | 3 |\n| --- | --- |\n| 2 | 5 |\n| 3 | 10 |","| 4 | 27 |\n| --- | --- |\n| 5 | 119 |\n| 6 | 1113 |\n| 7 | 29375 |\n| 8 | 2730166 |",1]
["| 1 | 3 |\n| --- | --- |\n| 2 | 5 |\n| 3 | 10 |","| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",0]
["| AverageErrorinKeyframe |  |  |\n| --- | --- | --- |\n| ClassName | Number | Position |\n| BaseballPitch | ±1.73 | ±0.455 |\n| Basket.Dunk | ±1.64 | ±0.640 |\n| Billiards | ±2.18 | ±1.300 |\n| CleanandJerk | ±2.27 | ±1.202 |\n| CliﬀDiving | ±2.45 | ±0.627 |\n| CricketBowl. | ±2.45 | ±1.14 |\n| CricketShot | ±1.27 | ±0.828 |\n| Diving | ±2.00 | ±0.907 |\n| FrisbeeCatch | ±1.73 | ±0.546 |\n| GolfSwing | ±2.45 | ±0.752 |\n| Hamm.Throw | ±1.73 | ±1.223 |\n| HighJump | ±1.73 | ±0.434 |\n| JavelinThrow | ±2.45 | ±0.555 |\n| LongJump | ±2.27 | ±0.611 |\n| PoleVault | ±2.64 | ±1.139 |\n| Shotput | ±2.00 | ±0.564 |\n| SoccerPenalty | ±2.09 | ±0.712 |","| TennisSwing | ±1.64 | ±0.554 |\n| --- | --- | --- |\n| ThrowDiscus | ±2.09 | ±0.642 |\n| Volley.Spike | ±1.54 | ±0.633 |\n| Averageaccuracy | ±2.02 | ±0.773 |",1]
["| AverageErrorinKeyframe |  |  |\n| --- | --- | --- |\n| ClassName | Number | Position |\n| BaseballPitch | ±1.73 | ±0.455 |\n| Basket.Dunk | ±1.64 | ±0.640 |\n| Billiards | ±2.18 | ±1.300 |\n| CleanandJerk | ±2.27 | ±1.202 |\n| CliﬀDiving | ±2.45 | ±0.627 |\n| CricketBowl. | ±2.45 | ±1.14 |\n| CricketShot | ±1.27 | ±0.828 |\n| Diving | ±2.00 | ±0.907 |\n| FrisbeeCatch | ±1.73 | ±0.546 |\n| GolfSwing | ±2.45 | ±0.752 |\n| Hamm.Throw | ±1.73 | ±1.223 |\n| HighJump | ±1.73 | ±0.434 |\n| JavelinThrow | ±2.45 | ±0.555 |\n| LongJump | ±2.27 | ±0.611 |\n| PoleVault | ±2.64 | ±1.139 |\n| Shotput | ±2.00 | ±0.564 |\n| SoccerPenalty | ±2.09 | ±0.712 |","| Action | Bloometal. | LRBM |\n| --- | --- | --- |\n| Fighting | 70.46 | 97.09 |\n| Golf | 83.37 | 81.82 |\n| Tennis | 56.44 | 84.38 |\n| Bowling | 80.78 | 61.54 |\n| FPS | 53.57 | 95.52 |\n| Driving | 84.24 | 100.00 |\n| Misc | 78.21 | 95.24 |\n| Avg. | 72.44 | 87.94 |",0]
["| AverageErrorinKeyframe |  |  |\n| --- | --- | --- |\n| ClassName | Number | Position |\n| BaseballPitch | ±1.73 | ±0.455 |\n| Basket.Dunk | ±1.64 | ±0.640 |","| Billiards | ±2.18 | ±1.300 |\n| --- | --- | --- |\n| CleanandJerk | ±2.27 | ±1.202 |\n| CliﬀDiving | ±2.45 | ±0.627 |\n| CricketBowl. | ±2.45 | ±1.14 |\n| CricketShot | ±1.27 | ±0.828 |\n| Diving | ±2.00 | ±0.907 |\n| FrisbeeCatch | ±1.73 | ±0.546 |\n| GolfSwing | ±2.45 | ±0.752 |\n| Hamm.Throw | ±1.73 | ±1.223 |\n| HighJump | ±1.73 | ±0.434 |\n| JavelinThrow | ±2.45 | ±0.555 |\n| LongJump | ±2.27 | ±0.611 |\n| PoleVault | ±2.64 | ±1.139 |\n| Shotput | ±2.00 | ±0.564 |\n| SoccerPenalty | ±2.09 | ±0.712 |\n| TennisSwing | ±1.64 | ±0.554 |\n| ThrowDiscus | ±2.09 | ±0.642 |\n| Volley.Spike | ±1.54 | ±0.633 |\n| Averageaccuracy | ±2.02 | ±0.773 |",1]
["| AverageErrorinKeyframe |  |  |\n| --- | --- | --- |\n| ClassName | Number | Position |\n| BaseballPitch | ±1.73 | ±0.455 |\n| Basket.Dunk | ±1.64 | ±0.640 |","| Bowling | 80.78 | 61.54 |\n| --- | --- | --- |\n| FPS | 53.57 | 95.52 |\n| Driving | 84.24 | 100.00 |\n| Misc | 78.21 | 95.24 |\n| Avg. | 72.44 | 87.94 |",0]
["|  | ExtractedURLsFilteredURLs<br>(HTMLassetsandself-linkingURLsremoved) |\n| --- | --- |\n| China | 33,082,2172,098,264 |\n| Indonesia | 12,580,357835,395 |\n| Iran | 15,381,8731,868,852 |","| Turkey | 19,250,931913,213 |\n| --- | --- |\n| Totals: | 80,295,3785,715,724 |",1]
["|  | ExtractedURLsFilteredURLs<br>(HTMLassetsandself-linkingURLsremoved) |\n| --- | --- |\n| China | 33,082,2172,098,264 |\n| Indonesia | 12,580,357835,395 |\n| Iran | 15,381,8731,868,852 |","|  | Counts |\n| --- | --- |\n| UniqueURLsCrawled | 1,113,653 |\n| UniqueDomainsCrawled | 329,575 |\n| UniqueFilteredURLs | 115,337 |\n| UniquePoisoneddomains | 1355 |\n| FilteredURLs/1000URLscrawled | 103.57 |\n| Poisoneddomains/1000domainscrawled | 4.11 |",0]
["|  | ExtractedURLsFilteredURLs<br>(HTMLassetsandself-linkingURLsremoved) |\n| --- | --- |\n| China | 33,082,2172,098,264 |\n| Indonesia | 12,580,357835,395 |\n| Iran | 15,381,8731,868,852 |","| Turkey | 19,250,931913,213 |\n| --- | --- |\n| Totals: | 80,295,3785,715,724 |",1]
["|  | ExtractedURLsFilteredURLs<br>(HTMLassetsandself-linkingURLsremoved) |\n| --- | --- |\n| China | 33,082,2172,098,264 |\n| Indonesia | 12,580,357835,395 |\n| Iran | 15,381,8731,868,852 |","| FilteredURLs/1000URLscrawled | 103.57 |\n| --- | --- |\n| Poisoneddomains/1000domainscrawled | 4.11 |",0]
["|  | Relation | Text |\n| --- | --- | --- |\n| Path#1 | mother | Rebeccagavebirthtotwinsons,EsauandJacob,... |","| Path#2 | haschild | ...Isaac’smarriagetoRebecca,bywhomhehastwosons,Esauandjacob,... |\n| --- | --- | --- |\n| Test | spouse | ...IsaacandRebeccaandthefemaleandmaleevilspirits... |\n| Path#1 | sharesborderwith | ...inSomalia,...soldiersandmarinesstationedinneighboringDjibouti... |\n| Path#2 | sharesborderwith | ...EthiopiahavehadtheeﬀectofmakingneighboringDjibouti... |\n| Test | sharesborderwith | Thenextday,Ethiopiastruck,itsmilitarypushingdeepintoSomalia... |",1]
["|  | Relation | Text |\n| --- | --- | --- |\n| Path#1 | mother | Rebeccagavebirthtotwinsons,EsauandJacob,... |","| FamilyName | Size | FamilyName | Size |\n| --- | --- | --- | --- |\n| ABU,Banload | 16 | Hupigon,AWQ | 219 |\n| Agent,Agent | 42 | IRCBot,Sdbot | 66 |\n| Agent,Small | 15 | LdPinch,LdPinch | 16 |\n| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |\n| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",0]
["|  | Relation | Text |\n| --- | --- | --- |\n| Path#1 | mother | Rebeccagavebirthtotwinsons,EsauandJacob,... |\n| Path#2 | haschild | ...Isaac’smarriagetoRebecca,bywhomhehastwosons,Esauandjacob,... |\n| Test | spouse | ...IsaacandRebeccaandthefemaleandmaleevilspirits... |\n| Path#1 | sharesborderwith | ...inSomalia,...soldiersandmarinesstationedinneighboringDjibouti... |","| Path#2 | sharesborderwith | ...EthiopiahavehadtheeﬀectofmakingneighboringDjibouti... |\n| --- | --- | --- |\n| Test | sharesborderwith | Thenextday,Ethiopiastruck,itsmilitarypushingdeepintoSomalia... |",1]
["|  | Relation | Text |\n| --- | --- | --- |\n| Path#1 | mother | Rebeccagavebirthtotwinsons,EsauandJacob,... |\n| Path#2 | haschild | ...Isaac’smarriagetoRebecca,bywhomhehastwosons,Esauandjacob,... |\n| Test | spouse | ...IsaacandRebeccaandthefemaleandmaleevilspirits... |\n| Path#1 | sharesborderwith | ...inSomalia,...soldiersandmarinesstationedinneighboringDjibouti... |","| Gobot,Gbot | 58 | VS,INService | 17 |\n| --- | --- | --- | --- |\n| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",0]
["| FineTuningLevel | F16⊕F19featureaccuracy | F22featureaccuracy |\n| --- | --- | --- |\n| F22=9<br>F22=500 | 65.46<br>69.36 | 66.01<br>62.56 |","| F22=1000 | 69.36 | 62.56 |\n| --- | --- | --- |\n| F22=2000 | 60.34 | 58.79 |\n| †<br>F22=1000 | 72.20 | 58.52 |",1]
["| FineTuningLevel | F16⊕F19featureaccuracy | F22featureaccuracy |\n| --- | --- | --- |\n| F22=9<br>F22=500 | 65.46<br>69.36 | 66.01<br>62.56 |","| Fine-tunelevel | F16⊕F19FeatureVector | F19FeatureVector | F22FeatureVector |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MeanLength | Mean | Length | Mean | Length |  |  |\n| F19=2048<br>F19=4096 | 64.46<br>70.71 | 6144<br>8192 | 65.34<br>70.79 | 2048<br>4096 | 63.83<br>70.58 | 1000<br>1000 |\n| F19=8192<br>F19=6144<br>F19=5120 | 70.00<br>72.30<br>70.21 | 12288<br>10240<br>9216 | 70.16<br>72.22<br>69.95 | 8192<br>6144<br>5120 | 67.98<br>72.30<br>68.19 | 1000<br>1000<br>1000 |\n| F19=7168 | 69.29 | 11264 | 69.16 | 71.68 | 70.42 | 1000 |",0]
["| FineTuningLevel | F16⊕F19featureaccuracy | F22featureaccuracy |\n| --- | --- | --- |\n| F22=9<br>F22=500 | 65.46<br>69.36 | 66.01<br>62.56 |\n| F22=1000 | 69.36 | 62.56 |","| F22=2000 | 60.34 | 58.79 |\n| --- | --- | --- |\n| †<br>F22=1000 | 72.20 | 58.52 |",1]
["| FineTuningLevel | F16⊕F19featureaccuracy | F22featureaccuracy |\n| --- | --- | --- |\n| F22=9<br>F22=500 | 65.46<br>69.36 | 66.01<br>62.56 |\n| F22=1000 | 69.36 | 62.56 |","| F19=2048<br>F19=4096 | 64.46<br>70.71 | 6144<br>8192 | 65.34<br>70.79 | 2048<br>4096 | 63.83<br>70.58 | 1000<br>1000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| F19=8192<br>F19=6144<br>F19=5120 | 70.00<br>72.30<br>70.21 | 12288<br>10240<br>9216 | 70.16<br>72.22<br>69.95 | 8192<br>6144<br>5120 | 67.98<br>72.30<br>68.19 | 1000<br>1000<br>1000 |\n| F19=7168 | 69.29 | 11264 | 69.16 | 71.68 | 70.42 | 1000 |",0]
["| N | Listofreferences |\n| --- | --- |\n| 0 | “0”,“no”,“zero” |","| 1 | “1”,“a”,“one” |\n| --- | --- |\n| 2 | “2”,“two”,“acoupleof” |\n| 3 | “3”,“three” |\n| 4 | “4”,“four” |\n| 5 | “5”,“ﬁve” |\n| 6 | “6”,“six” |\n| 7 | “7”,“seven” |\n| 8 | “8”,“eight” |\n| 9 | “9”,“nine” |\n| 10 | “10”,“ten” |\n| 11 | “11”,“eleven” |\n| 12 | “12”,“twelve” |\n| 13 | “13”,“thirteen” |\n| 14 | “14”,“fourteen” |\n| 15 | “15”,“ﬁfteen” |\n| 16 | “16”,“sixteen” |",1]
["| N | Listofreferences |\n| --- | --- |\n| 0 | “0”,“no”,“zero” |","|  | WordCounts |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Original | Reproduction |  |  |  |  |\n| Lexicons | Positive | Negative | Positive | PositiveLowered | Negative | NegativeLowered |\n| MPQA | 2289 | 4114 | 2298 | 2298 | 4148 | 4148 |\n| HL | 2003 | 4780 | 2003 | 2003 | 4780 | 4780 |\n| NRC | 2231 | 3243 | 2231 | 2231 | 3243 | 3243 |\n| MPQA&HL | 2706 | 5069 | 2725 | 2725 | 5080 | 5076 |\n| Allthree | 3940 | 6490 | 4016 | 4016 | 6530 | 6526 |",0]
["| N | Listofreferences |\n| --- | --- |\n| 0 | “0”,“no”,“zero” |\n| 1 | “1”,“a”,“one” |","| 2 | “2”,“two”,“acoupleof” |\n| --- | --- |\n| 3 | “3”,“three” |\n| 4 | “4”,“four” |\n| 5 | “5”,“ﬁve” |\n| 6 | “6”,“six” |\n| 7 | “7”,“seven” |\n| 8 | “8”,“eight” |\n| 9 | “9”,“nine” |\n| 10 | “10”,“ten” |\n| 11 | “11”,“eleven” |\n| 12 | “12”,“twelve” |\n| 13 | “13”,“thirteen” |\n| 14 | “14”,“fourteen” |\n| 15 | “15”,“ﬁfteen” |\n| 16 | “16”,“sixteen” |",1]
["| N | Listofreferences |\n| --- | --- |\n| 0 | “0”,“no”,“zero” |\n| 1 | “1”,“a”,“one” |","| HL | 2003 | 4780 | 2003 | 2003 | 4780 | 4780 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NRC | 2231 | 3243 | 2231 | 2231 | 3243 | 3243 |\n| MPQA&HL | 2706 | 5069 | 2725 | 2725 | 5080 | 5076 |\n| Allthree | 3940 | 6490 | 4016 | 4016 | 6530 | 6526 |",0]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 |","| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 |\n| --- | --- | --- |\n| SimilaritySwitching<br>BayesSwitching | 90.0490.81<br>90.7890.70 | 90.4390.43<br>90.7490.74 |\n| ConstituentVoting<br>Na¨ıveBayes | 92.4290.10<br>92.4290.10 | 91.2691.25<br>91.2691.25 |",1]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 |","| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |\n| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",0]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 |","| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 |\n| --- | --- | --- |\n| SimilaritySwitching<br>BayesSwitching | 90.0490.81<br>90.7890.70 | 90.4390.43<br>90.7490.74 |\n| ConstituentVoting<br>Na¨ıveBayes | 92.4290.10<br>92.4290.10 | 91.2691.25<br>91.2691.25 |",1]
["| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 |","| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| --- | --- | --- |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",0]
["| Binary-to-Binary | Binary-to-Stream |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InputLevels/<br>StreamLength | Array<br>Multiplier |  |  | SISM | SCSM |  |  | AISM |\n| 8 | 408 | 318 | 226 | 198 | 306 | 510 | 370 | 376 |\n| 16 | 688 | 430 | 314 | 262 | 394 | 670 | 506 | 1272 |\n| 32 | 1040 | 550 | 414 | 326 | 482 | 838 | 654 | 4600 |\n| 64 | 1464 | 678 | 526 | 390 | 570 | 1014 | 814 | 17400 |","| 128 | 1960 | 814 | 650 | 454 | 658 | 1198 | 986 | 67576 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 256 | 2528 | 958 | 786 | 518 | 746 | 1390 | 1170 | 266232 |",1]
["| Binary-to-Binary | Binary-to-Stream |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InputLevels/<br>StreamLength | Array<br>Multiplier |  |  | SISM | SCSM |  |  | AISM |\n| 8 | 408 | 318 | 226 | 198 | 306 | 510 | 370 | 376 |\n| 16 | 688 | 430 | 314 | 262 | 394 | 670 | 506 | 1272 |\n| 32 | 1040 | 550 | 414 | 326 | 482 | 838 | 654 | 4600 |\n| 64 | 1464 | 678 | 526 | 390 | 570 | 1014 | 814 | 17400 |","| n | n-k | m | q | d | t | r’ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |\n| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |\n| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |\n| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |\n| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 |",0]
["| Binary-to-Binary | Binary-to-Stream |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InputLevels/<br>StreamLength | Array<br>Multiplier |  |  | SISM | SCSM |  |  | AISM |\n| 8 | 408 | 318 | 226 | 198 | 306 | 510 | 370 | 376 |\n| 16 | 688 | 430 | 314 | 262 | 394 | 670 | 506 | 1272 |\n| 32 | 1040 | 550 | 414 | 326 | 482 | 838 | 654 | 4600 |\n| 64 | 1464 | 678 | 526 | 390 | 570 | 1014 | 814 | 17400 |","| 128 | 1960 | 814 | 650 | 454 | 658 | 1198 | 986 | 67576 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 256 | 2528 | 958 | 786 | 518 | 746 | 1390 | 1170 | 266232 |",1]
["| Binary-to-Binary | Binary-to-Stream |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InputLevels/<br>StreamLength | Array<br>Multiplier |  |  | SISM | SCSM |  |  | AISM |\n| 8 | 408 | 318 | 226 | 198 | 306 | 510 | 370 | 376 |\n| 16 | 688 | 430 | 314 | 262 | 394 | 670 | 506 | 1272 |\n| 32 | 1040 | 550 | 414 | 326 | 482 | 838 | 654 | 4600 |\n| 64 | 1464 | 678 | 526 | 390 | 570 | 1014 | 814 | 17400 |","| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |\n| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |\n| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 |",0]
["| Dataset | Gnutella | Amazon | RoadNet-CA |\n| --- | --- | --- | --- |\n| #Nodes | 6K | 262K | 2.0M |\n| #Edges | 21K | 1.2M | 2.8M |\n| Averagedegree | 6.6 | 9.4 | 2.8 |","| LargestComponentsize | 6299 | 262K | 2.0M |\n| --- | --- | --- | --- |\n| Diameter | 9 | 32 | 849 |",1]
["| Dataset | Gnutella | Amazon | RoadNet-CA |\n| --- | --- | --- | --- |\n| #Nodes | 6K | 262K | 2.0M |\n| #Edges | 21K | 1.2M | 2.8M |\n| Averagedegree | 6.6 | 9.4 | 2.8 |","| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["| Dataset | Gnutella | Amazon | RoadNet-CA |\n| --- | --- | --- | --- |\n| #Nodes | 6K | 262K | 2.0M |\n| #Edges | 21K | 1.2M | 2.8M |","| Averagedegree | 6.6 | 9.4 | 2.8 |\n| --- | --- | --- | --- |\n| LargestComponentsize | 6299 | 262K | 2.0M |\n| Diameter | 9 | 32 | 849 |",1]
["| Dataset | Gnutella | Amazon | RoadNet-CA |\n| --- | --- | --- | --- |\n| #Nodes | 6K | 262K | 2.0M |\n| #Edges | 21K | 1.2M | 2.8M |","| Orkut | undirected | 3.1M | 117M |\n| --- | --- | --- | --- |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["| Correlation | Gender | Ethnicity |  |  |\n| --- | --- | --- | --- | --- |\n| Dimension | Female | Asian | Caucasian | Afro-American |\n| Agreeableness | -0.023 | -0.002 | 0.061** | -0.068** |","| Conscientiousness | 0.081** | 0.018 | 0.056** | -0.074** |\n| --- | --- | --- | --- | --- |\n| Extroversion | 0.207** | 0.039* | 0.039* | -0.068** |\n| Neuroticism | 0.054* | -0.002 | 0.047* | -0.053** |\n| Openness | 0.169** | 0.010 | 0.083** | -0.100** |\n| Interview | 0.069** | 0.015 | 0.052* | -0.068** |",1]
["| Correlation | Gender | Ethnicity |  |  |\n| --- | --- | --- | --- | --- |\n| Dimension | Female | Asian | Caucasian | Afro-American |\n| Agreeableness | -0.023 | -0.002 | 0.061** | -0.068** |","| Dataset | Label | P | R | F1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 |  |  |\n| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |\n| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",0]
["| Correlation | Gender | Ethnicity |  |  |\n| --- | --- | --- | --- | --- |\n| Dimension | Female | Asian | Caucasian | Afro-American |","| Agreeableness | -0.023 | -0.002 | 0.061** | -0.068** |\n| --- | --- | --- | --- | --- |\n| Conscientiousness | 0.081** | 0.018 | 0.056** | -0.074** |\n| Extroversion | 0.207** | 0.039* | 0.039* | -0.068** |\n| Neuroticism | 0.054* | -0.002 | 0.047* | -0.053** |\n| Openness | 0.169** | 0.010 | 0.083** | -0.100** |\n| Interview | 0.069** | 0.015 | 0.052* | -0.068** |",1]
["| Correlation | Gender | Ethnicity |  |  |\n| --- | --- | --- | --- | --- |\n| Dimension | Female | Asian | Caucasian | Afro-American |","| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",0]
["| Model | InceptionScore |\n| --- | --- |\n| (a)Upperbound | 4.44±1.91 |\n| (b)ImprovedWGAN | 1.42±0.13 |\n| (c)ConditionalGAN | 2.21±0.38 |\n| (d)+SpectralNorm | 2.45±0.48 |","| (e)+HingeLoss | 2.49±0.51 |\n| --- | --- |\n| (f)+ProjectionDiscriminator | 2.61±0.41 |\n| (g)+AuxiliaryClassiﬁer | 2.83±0.53 |",1]
["| Model | InceptionScore |\n| --- | --- |\n| (a)Upperbound | 4.44±1.91 |\n| (b)ImprovedWGAN | 1.42±0.13 |\n| (c)ConditionalGAN | 2.21±0.38 |\n| (d)+SpectralNorm | 2.45±0.48 |","| Method | Inceptionscore |\n| --- | --- |\n| 3DShapeNets | 4.126±0.193 |\n| 3D-GAN | 8.658±0.450 |\n| 3DVAE | 11.015±0.420 |\n| 3DDescriptorNet(ours) | 11.772±0.418 |",0]
["| Model | InceptionScore |\n| --- | --- |\n| (a)Upperbound | 4.44±1.91 |\n| (b)ImprovedWGAN | 1.42±0.13 |\n| (c)ConditionalGAN | 2.21±0.38 |\n| (d)+SpectralNorm | 2.45±0.48 |\n| (e)+HingeLoss | 2.49±0.51 |","| (f)+ProjectionDiscriminator | 2.61±0.41 |\n| --- | --- |\n| (g)+AuxiliaryClassiﬁer | 2.83±0.53 |",1]
["| Model | InceptionScore |\n| --- | --- |\n| (a)Upperbound | 4.44±1.91 |\n| (b)ImprovedWGAN | 1.42±0.13 |\n| (c)ConditionalGAN | 2.21±0.38 |\n| (d)+SpectralNorm | 2.45±0.48 |\n| (e)+HingeLoss | 2.49±0.51 |","| 3DVAE | 11.015±0.420 |\n| --- | --- |\n| 3DDescriptorNet(ours) | 11.772±0.418 |",0]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| 2 | 5090 | 7851 | 41515 | 37 |\n| --- | --- | --- | --- | --- |\n| 3 | 5031 | 7730 | 40544 | 39 |\n| 4 | 4417 | 6671 | 35253 | 41 |",1]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |\n| 2 | 5090 | 7851 | 41515 | 37 |\n| 3 | 5031 | 7730 | 40544 | 39 |\n| 4 | 4417 | 6671 | 35253 | 41 |",0]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| 2 | 5090 | 7851 | 41515 | 37 |\n| --- | --- | --- | --- | --- |\n| 3 | 5031 | 7730 | 40544 | 39 |\n| 4 | 4417 | 6671 | 35253 | 41 |",1]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| 3 | 5031 | 7730 | 40544 | 39 |\n| --- | --- | --- | --- | --- |\n| 4 | 4417 | 6671 | 35253 | 41 |",0]
["| Comparedmethods | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Alexnet | 52.4 | 5<br>1.27×10 |","| Alexnet+CV-EC | 66.56 | 3.74×10 |\n| --- | --- | --- |\n| Alexnet+CV-CL | 64.72 | 4.81×10 |\n| Alexnet+Triplet | 60.8 | - |\n| Alexnet+ICV-ECCL | 69.94 | 1.93×10 |",1]
["| Comparedmethods | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Alexnet | 52.4 | 5<br>1.27×10 |","| Iterationstep | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Initialbaseline | 52.4 | 5<br>1.27×10 |\n| 1stiterCV-EC | 66.56 | 3.74×10 |\n| 1stiterCV-CL | 68.12 | 2.82×10 |\n| 2nditerCV-EC | 69.33 | 1.96×10 |\n| 2nditerCV-CL | 69.94 | 1.93×10 |",0]
["| Comparedmethods | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Alexnet | 52.4 | 5<br>1.27×10 |\n| Alexnet+CV-EC | 66.56 | 3.74×10 |","| Alexnet+CV-CL | 64.72 | 4.81×10 |\n| --- | --- | --- |\n| Alexnet+Triplet | 60.8 | - |\n| Alexnet+ICV-ECCL | 69.94 | 1.93×10 |",1]
["| Comparedmethods | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Alexnet | 52.4 | 5<br>1.27×10 |\n| Alexnet+CV-EC | 66.56 | 3.74×10 |","| 1stiterCV-EC | 66.56 | 3.74×10 |\n| --- | --- | --- |\n| 1stiterCV-CL | 68.12 | 2.82×10 |\n| 2nditerCV-EC | 69.33 | 1.96×10 |\n| 2nditerCV-CL | 69.94 | 1.93×10 |",0]
["| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |","| noSBPs | 17K | 3 | 4.2K | 16 | 6.3K | 14 | 13K | 7 | 1.7K | 2 | 3K | 17 | 18K | 3 | 1.6K | 19 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NU<br>CA<br>LI<br>SC<br>NU+SC | 8.2K<br>13K<br>15K<br>14K<br>6.9K | 13<br>6<br>6<br>6<br>14 | 7.5K<br>12K<br>15K<br>65<br>6.8K | 13<br>8<br>6<br>20<br>14 | 5.9K<br>11K<br>16K<br>5.3K<br>4.5K | 15<br>11<br>4<br>15<br>16 | 6.5K<br>11K<br>16K<br>12K<br>6.4K | 15<br>10<br>4<br>8<br>14 | 8.3K<br>19K<br>15K<br>16K<br>6.1K | 11<br>1<br>5<br>4<br>14 | 6.7K<br>17K<br>15K<br>94.4<br>6.1K | 11<br>3<br>5<br>20<br>14 | 9.1K<br>9K<br>16K<br>15k<br>7.3K | 12<br>12<br>5<br>5<br>13 | 8.3K<br>10K<br>16K<br>2.1K<br>7.1K | 13<br>12<br>5<br>18<br>13 |",1]
["| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |","| noSBPs | 17K | 3 | 4.2K | 16 | 6.3K | 14 | 13K | 7 | 1.7K | 2 | 3K | 17 | 18K | 3 | 1.6K | 19 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NU<br>CA<br>LI<br>SC<br>NU+SC | 8.2K<br>13K<br>15K<br>14K<br>6.9K | 13<br>6<br>6<br>6<br>14 | 7.5K<br>12K<br>15K<br>65<br>6.8K | 13<br>8<br>6<br>20<br>14 | 5.9K<br>11K<br>16K<br>5.3K<br>4.5K | 15<br>11<br>4<br>15<br>16 | 6.5K<br>11K<br>16K<br>12K<br>6.4K | 15<br>10<br>4<br>8<br>14 | 8.3K<br>19K<br>15K<br>16K<br>6.1K | 11<br>1<br>5<br>4<br>14 | 6.7K<br>17K<br>15K<br>94.4<br>6.1K | 11<br>3<br>5<br>20<br>14 | 9.1K<br>9K<br>16K<br>15k<br>7.3K | 12<br>12<br>5<br>5<br>13 | 8.3K<br>10K<br>16K<br>2.1K<br>7.1K | 13<br>12<br>5<br>18<br>13 |",1]
["| SBP<br>Type | PBSII,PBLearning | CPLEX | Galena | Pueblo |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |","| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |","| VGG16 | 224×224 | 10 |\n| --- | --- | --- |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",1]
["| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |","| CNNmodel | Layer | Activations | Encoding |\n| --- | --- | --- | --- |\n| AlexNet | Conv5 | (13,13,256) | FV+PCA |\n| AlexNet | Conv5 | (13,13,256) | VLAD+PCA |\n| AlexNet | FC7 | 4096 | − |\n| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |\n| GoogLeNet | Pool5 | 1024 | − |",0]
["| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |","| VGG16 | 224×224 | 10 |\n| --- | --- | --- |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",1]
["| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |","| AlexNet | Conv5 | (13,13,256) | VLAD+PCA |\n| --- | --- | --- | --- |\n| AlexNet | FC7 | 4096 | − |\n| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |\n| GoogLeNet | Pool5 | 1024 | − |",0]
["| Notations | Descriptions |\n| --- | --- |\n| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval |","| t,tnrnw | NVMreadandwritelatencies |\n| --- | --- |\n| t,tdrdw | DRAMreadandwritelatencies |\n| Tmig | cyclesspentinmigratingapagefromNVMtoDRAM |\n| Twriteback | cyclesspentinwritingadirtyDRAMpagetoNVM |",1]
["| Notations | Descriptions |\n| --- | --- |\n| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval |","| Metric | Description |\n| --- | --- |\n| Executiontime | Measuredinseconds |\n| CPUusage | TotalCPUtimepersecond |\n| Totalmemorysize | MeasuredinGB |\n| CPI | Cyclesperinstruction |\n| MAI | Thenumberofmemoryaccesses<br>perinstruction |",0]
["| Notations | Descriptions |\n| --- | --- |\n| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval |\n| t,tnrnw | NVMreadandwritelatencies |\n| t,tdrdw | DRAMreadandwritelatencies |","| Tmig | cyclesspentinmigratingapagefromNVMtoDRAM |\n| --- | --- |\n| Twriteback | cyclesspentinwritingadirtyDRAMpagetoNVM |",1]
["| Notations | Descriptions |\n| --- | --- |\n| C,Crw | totalnumberofreadsandwritesonapageinatimeinterval |\n| t,tnrnw | NVMreadandwritelatencies |\n| t,tdrdw | DRAMreadandwritelatencies |","| Totalmemorysize | MeasuredinGB |\n| --- | --- |\n| CPI | Cyclesperinstruction |\n| MAI | Thenumberofmemoryaccesses<br>perinstruction |",0]
["| 12626 | 84 |\n| --- | --- |\n| 8799 | 122 |","| 12488 | 87 |\n| --- | --- |\n| 8799 | 94 |\n| 12488 | 150 |\n| 12625 | 44 |\n| 12626 | 110 |",1]
["| 12626 | 84 |\n| --- | --- |\n| 8799 | 122 |","| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |\n| 0 | 0 | 0 | 5 | 0 |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",0]
["| 12626 | 84 |\n| --- | --- |\n| 8799 | 122 |\n| 12488 | 87 |\n| 8799 | 94 |\n| 12488 | 150 |","| 12625 | 44 |\n| --- | --- |\n| 12626 | 110 |",1]
["| 12626 | 84 |\n| --- | --- |\n| 8799 | 122 |\n| 12488 | 87 |\n| 8799 | 94 |\n| 12488 | 150 |","| 33 | 115 | 885 | 0 | 16 |\n| --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 5 | 0 |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",0]
["|  | ClassSim(OVR) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |\n| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 |","| city | buildings:0.656 | bay:0.301 | ships:0.097 | bay:0.123 | buildings:0.122 |\n| --- | --- | --- | --- | --- | --- |\n| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | sky:0.248 | ocean:0.041 |\n| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | ocean:0.012 | birds:0.011 |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | boeing:0.040 | helicopter:0.038 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:0.038 | ships:0.025 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | bay:0.093 | clouds:0.021 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:0.248 | sunset:0.106 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 |\n| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | sunrise:0.353 | sky:0.106 |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | sunset:0.353 | sky:0.057 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:0.087 | clouds:0.041 |",1]
["|  | ClassSim(OVR) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |\n| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 |","|  | ClassSim |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:6588 | mountain:6951 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:6588 | mountain:6909 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | helicopter:5656 | f-16:6490 |\n| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:3438 | clouds:3525 |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:9624 | bay:9813 |\n| city | buildings:0.656 | bay:0.301 | ships:0.097 | ocean:8576 | bay:8679 |\n| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | f-16:3421 | boeing:3525 |\n| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | f-16:7768 | helicopter:7849 |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | clouds:3421 | boeing:3438 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:4682 | boeing:4918 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | beach:6909 | bay:6951 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:6609 | f-16:7161 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | helicopter:7506 | birds:7520 |\n| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | f-16:5253 | boeing:5365 |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | f-16:5885 | boeing:6028 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:7270 | beach:8070 |",0]
["|  | ClassSim(OVR) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |\n| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 |\n| city | buildings:0.656 | bay:0.301 | ships:0.097 | bay:0.123 | buildings:0.122 |\n| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | sky:0.248 | ocean:0.041 |\n| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | ocean:0.012 | birds:0.011 |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | boeing:0.040 | helicopter:0.038 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:0.038 | ships:0.025 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | bay:0.093 | clouds:0.021 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:0.248 | sunset:0.106 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 |","| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | sunrise:0.353 | sky:0.106 |\n| --- | --- | --- | --- | --- | --- |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | sunset:0.353 | sky:0.057 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:0.087 | clouds:0.041 |",1]
["|  | ClassSim(OVR) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| bay | beach:0.626 | ocean:0.320 | city:0.301 | beach:0.246 | city:0.123 |\n| beach | bay:0.626 | ocean:0.245 | mountain:0.114 | bay:0.246 | ocean:0.040 |\n| birds | ocean:0.045 | face:0.037 | sunset:0.028 | face:0.011 | ocean:0.009 |\n| boeing | f-16:0.258 | helicopter:0.153 | ocean:0.067 | f-16:0.040 | sky:0.005 |\n| buildings | city:0.656 | ships:0.092 | bay:0.069 | city:0.122 | bay:0.044 |\n| city | buildings:0.656 | bay:0.301 | ships:0.097 | bay:0.123 | buildings:0.122 |\n| clouds | sky:0.787 | ocean:0.260 | sunset:0.128 | sky:0.248 | ocean:0.041 |\n| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | ocean:0.012 | birds:0.011 |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | boeing:0.040 | helicopter:0.038 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:0.038 | ships:0.025 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | bay:0.093 | clouds:0.021 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:0.248 | sunset:0.106 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | bay:0.061 | helicopter:0.025 |","| face | ocean:0.051 | sunrise:0.040 | birds:0.037 | f-16:7768 | helicopter:7849 |\n| --- | --- | --- | --- | --- | --- |\n| f-16 | boeing:0.258 | helicopter:0.188 | ships:0.126 | clouds:3421 | boeing:3438 |\n| helicopter | f-16:0.188 | boeing:0.153 | ships:0.098 | f-16:4682 | boeing:4918 |\n| mountain | bay:0.188 | beach:0.114 | ocean:0.093 | beach:6909 | bay:6951 |\n| sky | clouds:0.787 | sunset:0.317 | sunrise:0.302 | clouds:6609 | f-16:7161 |\n| ships | f-16:0.126 | ocean:0.108 | helicopter:0.098 | helicopter:7506 | birds:7520 |\n| sunset | sunrise:0.902 | sky:0.317 | ocean:0.163 | f-16:5253 | boeing:5365 |\n| sunrise | sunset:0.902 | sky:0.302 | ocean:0.157 | f-16:5885 | boeing:6028 |\n| ocean | bay:0.320 | sky:0.271 | clouds:0.260 | bay:7270 | beach:8070 |",0]
["|  | Labeled | Detected |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |\n| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |\n| PIE | - | - | - | 67.21 | 61.50 | 89.30 |\n| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |\n| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |\n| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |\n| PDC | - | 88.70 | - | - | 78.29 | - |\n| SpindleNet | - | - | - | - | 88.5 | 97.8 |","| TriNet† | - | 89.63 | 99.01 | - | 87.58 | 98.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| Baseline | 93.6 | 88.2 | 99.4 | 92.0 | 86.4 | 98.1 |\n| HumanLandmark | 95.5 | 91.0 | 99.8 | 94.7 | 88.9 | 99.4 |\n| PoseOrientation | 95.8 | 90.9 | 99.6 | 94.5 | 89.3 | 99.4 |",1]
["|  | Labeled | Detected |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |\n| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |\n| PIE | - | - | - | 67.21 | 61.50 | 89.30 |\n| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |\n| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |\n| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |\n| PDC | - | 88.70 | - | - | 78.29 | - |\n| SpindleNet | - | - | - | - | 88.5 | 97.8 |","| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["|  | Labeled | Detected |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |\n| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |\n| PIE | - | - | - | 67.21 | 61.50 | 89.30 |\n| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |\n| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |\n| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |\n| PDC | - | 88.70 | - | - | 78.29 | - |\n| SpindleNet | - | - | - | - | 88.5 | 97.8 |","| TriNet† | - | 89.63 | 99.01 | - | 87.58 | 98.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| Baseline | 93.6 | 88.2 | 99.4 | 92.0 | 86.4 | 98.1 |\n| HumanLandmark | 95.5 | 91.0 | 99.8 | 94.7 | 88.9 | 99.4 |\n| PoseOrientation | 95.8 | 90.9 | 99.6 | 94.5 | 89.3 | 99.4 |",1]
["|  | Labeled | Detected |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | mAP | Rank-1 | Rank-5 | mAP | Rank-1 | Rank-5 |\n| GatedSiameseCNN | - | - | - | 51.25 | 61.8 | 80.9 |\n| PIE | - | - | - | 67.21 | 61.50 | 89.30 |\n| JLML | - | 83.2 | 98.0 | - | 80.6 | 96.9 |\n| PAN | 35.03 | 36.86 | 56.86 | 34.00 | 36.29 | 55.50 |\n| GoogLeNet+DTL | - | 85.4 | - | - | 84.1 | - |\n| PDC | - | 88.70 | - | - | 78.29 | - |\n| SpindleNet | - | - | - | - | 88.5 | 97.8 |","| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| --- | --- | --- | --- | --- |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["| Token | Language |\n| --- | --- |\n| bhai | hi |\n| triple | en |\n| talaq | hi |\n| se | hi |\n| aap | hi |\n| kya | hi |\n| samjhte | hi |\n| hai | hi |\n| samjhaye | hi |","| aap | hi |\n| --- | --- |\n| zara | hi |\n| .. | rest |\n| agar | hi |\n| triple | en |\n| talaq | hi |\n| pta | hi |\n| hota | hi |\n| apko | hi |\n| toh | hi |\n| aisa | hi |\n| nhi | en |\n| kehte | hi |\n| .. | rest |",1]
["| Token | Language |\n| --- | --- |\n| bhai | hi |\n| triple | en |\n| talaq | hi |\n| se | hi |\n| aap | hi |\n| kya | hi |\n| samjhte | hi |\n| hai | hi |\n| samjhaye | hi |","| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |\n| Irish | 46 | 252/278 |  |\n| Hausa | 77 | 424/520 |  |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| Token | Language |\n| --- | --- |\n| bhai | hi |\n| triple | en |\n| talaq | hi |","| se | hi |\n| --- | --- |\n| aap | hi |\n| kya | hi |\n| samjhte | hi |\n| hai | hi |\n| samjhaye | hi |\n| aap | hi |\n| zara | hi |\n| .. | rest |\n| agar | hi |\n| triple | en |\n| talaq | hi |\n| pta | hi |\n| hota | hi |\n| apko | hi |\n| toh | hi |\n| aisa | hi |\n| nhi | en |\n| kehte | hi |\n| .. | rest |",1]
["| Token | Language |\n| --- | --- |\n| bhai | hi |\n| triple | en |\n| talaq | hi |","| Yaqui | 68 | 350/544 |  |\n| --- | --- | --- | --- |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| System | Master | Worker |\n| --- | --- | --- |\n| Aerospike | - | 2/3GiB |","| Hadoop | 10/17GiB | 10*/17GiB |\n| --- | --- | --- |\n| HBase | unrestricted | 4/4GiB |\n| Storm | unrestricted | 3/2GiB |\n| Polypus4t | 4/3GiB | 1/2GiB |",1]
["| System | Master | Worker |\n| --- | --- | --- |\n| Aerospike | - | 2/3GiB |","| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| System | Master | Worker |\n| --- | --- | --- |\n| Aerospike | - | 2/3GiB |\n| Hadoop | 10/17GiB | 10*/17GiB |","| HBase | unrestricted | 4/4GiB |\n| --- | --- | --- |\n| Storm | unrestricted | 3/2GiB |\n| Polypus4t | 4/3GiB | 1/2GiB |",1]
["| System | Master | Worker |\n| --- | --- | --- |\n| Aerospike | - | 2/3GiB |\n| Hadoop | 10/17GiB | 10*/17GiB |","| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| xx12 | Assignment | xx34 | Assignment |\n| --- | --- | --- | --- |\n| 00 | e−e,e−e,e−e233478 | 00 | e−e,e−e,e−e,e−e,e−e4589125691 |\n| 01 | e−e,e−e,e−e233874 | 01 | e−e,e−e,e−e,e−e,e−e4589125196 |","| 10 | e−e,e−e,e−e273478 | 10 | e−e,e−e,e−e,e−e,e−e4985125691 |\n| --- | --- | --- | --- |\n| 11 | e−e,e−e,e−e273874 | 11 | e−e,e−e,e−e,e−e,e−e4985125196 |",1]
["| xx12 | Assignment | xx34 | Assignment |\n| --- | --- | --- | --- |\n| 00 | e−e,e−e,e−e233478 | 00 | e−e,e−e,e−e,e−e,e−e4589125691 |\n| 01 | e−e,e−e,e−e233874 | 01 | e−e,e−e,e−e,e−e,e−e4589125196 |","| (30,5,24,2−2−2)<br>371816<br>(38,5,32,2−2−2)<br>4321186∗<br>(44,5,38,2−2−2−2)<br>5326216∗<br>(54,5,48,2−2−2−2)<br>5929236∗<br>(60,5,54,2−2−2−2)<br>6934266∗<br>(70,5,64,2−2−2−2)<br>7537286∗<br>(76,5,70,2−2−2−2)<br>8341306∗<br>(84,5,78,2−2−2−2)<br>8944326∗<br>(90,5,84,2−2−2−2)<br>974834326∗<br>(98,5,92,2−2−2−2−2) | (36,5,30,2−2−2−2)<br>412017146∗<br>(42,5,36,2−2−2−2−2)<br>4723196∗<br>(48,5,42,2−2−2−2)<br>572822216∗<br>(58,5,52,2−2−2−2−2)<br>6331246∗<br>(64,5,48,2−2−2−2)<br>733627246∗<br>(74,5,68,2−2−2−2−2)<br>7939296∗<br>(80,5,74,2−2−2−2)<br>874331306∗<br>(88,5,82,2−2−2−2−2)<br>9346336∗<br>(94,5,88,2−2−2−2)<br>9949356∗<br>(100,5,94,2−2−2−2) |\n| --- | --- |\n| (34,6,27,2−2−2)<br>412018<br>(42,6,35,2−2−2)<br>512522<br>(52,6,45,2−2−2)<br>5929247∗<br>(60,6,53,2−2−2−2)<br>6532267∗<br>(66,6,59,2−2−2−2)<br>7537297∗<br>(76,6,69,2−2−2−2)<br>8140317∗<br>(82,6,75,2−2−2−2)<br>894433327∗<br>(90,6,83,2−2−2−2−2)<br>9547357∗<br>(96,6,89,2−2−2−2) | (40,6,33,2−2−2−2−2)<br>4723207∗<br>(48,6,41,2−2−2−2)<br>5326227∗<br>(54,6,47,2−2−2−2)<br>633125247∗<br>(64,6,47,2−2−2−2−2)<br>6934277∗<br>(70,6,63,2−2−2−2)<br>793930297∗<br>(80,6,73,2−2−2−2−2)<br>8542327∗<br>(86,6,79,2−2−2−2)<br>9145347∗<br>(92,6,85,2−2−2−2)<br>994936357∗<br>(100,6,93,2−2−2−2−2) |\n| (38,7,30,2−2−2−2)<br>452220<br>(46,7,38,2−2−2)<br>512522218∗<br>(52,7,44,2−2−2−2−2)<br>572824238∗<br>(58,7,50,2−2−2−2−2)<br>633126258∗<br>(64,7,46,2−2−2−2−2)<br>693428278∗<br>(70,7,62,2−2−2−2−2)<br>7337308∗<br>(76,7,68,2−2−2−2)<br>8140328∗<br>(82,7,74,2−2−2−2)<br>8743348∗<br>(88,7,80,2−2−2−2)<br>9748378∗<br>(98,7,90,2−2−2−2) | (40,7,32,2−2−2)<br>472321<br>(48,7,40,2−2−2)<br>532623<br>(54,7,46,2−2−2)<br>5929258∗<br>(60,7,52,2−2−2−2)<br>6532278∗<br>(66,7,58,2−2−2−2)<br>7135298∗<br>(72,7,64,2−2−2−2)<br>7738318∗<br>(78,7,70,2−2−2−2)<br>854233328∗<br>(86,7,78,2−2−2−2−2)<br>9145358∗<br>(92,7,84,2−2−2−2)<br>9949388∗<br>(100,7,92,2−2−2−2) |\n| (42,8,33,2−2−2−2)<br>49242221<br>(50,8,41,2−2−2−2)<br>5728259∗<br>(58,8,49,2−2−2−2)<br>67332529<br>(68,8,59,2−2−2−2)<br>7135309∗<br>(72,8,63,2−2−2−2)<br>7738329∗<br>(78,8,69,2−2−2−2)<br>8743359∗<br>(88,8,79,2−2−2−2)<br>9346379∗<br>(94,8,85,2−2−2−2)<br>9949399∗<br>(100,8,91,2−2−2−2) | (44,8,35,2−2−2)<br>512523<br>(52,8,43,2−2−2)<br>6331279∗<br>(64,8,45,2−2−2−2)<br>693429279∗<br>(70,8,61,2−2−2−2−2)<br>753731289∗<br>(76,8,67,2−2−2−2−2)<br>8140339∗<br>(82,8,73,2−2−2−2)<br>914536359∗<br>(92,8,83,2−2−2−2−2)<br>974838369∗<br>(98,8,89,2−2−2−2−2)<br>19999689∗<br>(200,8,191,2−2−2−2) |\n| (46,9,36,2−2−2−2−2−2)<br>5326242322<br>(54,9,44,2−2−2−2−2)<br>61302726<br>(62,9,52,2−2−2−2)<br>673329282710∗<br>(68,9,58,2−2−2−2−2−2)<br>733632<br>(74,9,64,2−2−2<br>79393410∗<br>(80,9,70,2−2−2−2)<br>87433610∗<br>(88,9,78,2−2−2−2)<br>9748393810∗<br>(98,9,88,2−2−2−2−2) | (48,9,38,2−2−2)<br>552725<br>(56,9,46,2−2−2)<br>633128<br>(64,9,44,2−2−2)<br>69343010∗<br>(70,9,60,2−2−2−2)<br>75373210∗<br>(76,9,66,2−2−2−2)<br>81403410∗<br>(82,9,72,2−2−2−2)<br>93463810∗<br>(94,9,84,2−2−2−2)<br>99494010∗<br>(100,9,90,2−2−2−2) |\n| (52,10,41,2−2−2)<br>∗6532292827262511<br>(66,10,55,2−2−2−2−2−2−2−2)<br>7336323011∗<br>(74,10,63,2−2−2−2−2)<br>7939343311∗<br>(80,10,69,2−2−2−2−2)<br>83413611∗<br>(84,10,73,2−2−2−2)<br>87433711∗<br>(88,10,77,2−2−2−2)<br>93463911∗<br>(94,10,83,2−2−2−2)<br>99494111∗<br>(100,10,89,2−2−2−2) | (60,10,49,2−2−2)<br>673330<br>(68,10,57,2−2−2)<br>753733<br>(76,10,65,2−2−2)<br>81403511∗<br>(82,10,71,2−2−2−2)<br>854236353411∗<br>(86,10,75,2−2−2−2−2−2)<br>91453837363511∗<br>(92,10,81,2−2−2−2−2−2−2)<br>974840393811∗<br>(98,10,87,2−2−2−2−2−2)<br>49924915311∗<br>(500,10,489,2−2−2−2) |\n| (100,21,78,2−2−2)<br>18391898786<br>(184,38,145,2−2−2−2−2)<br>831415414413<br>(832,200,631,2−2−2−2) | (200,45,154,2−2−2)<br>515255253<br>(516,116,399,2−2−2)<br>99994999499849974996<br>(10000,2475,7524,2−2−2−2−2) |",0]
["| xx12 | Assignment | xx34 | Assignment |\n| --- | --- | --- | --- |\n| 00 | e−e,e−e,e−e233478 | 00 | e−e,e−e,e−e,e−e,e−e4589125691 |","| 01 | e−e,e−e,e−e233874 | 01 | e−e,e−e,e−e,e−e,e−e4589125196 |\n| --- | --- | --- | --- |\n| 10 | e−e,e−e,e−e273478 | 10 | e−e,e−e,e−e,e−e,e−e4985125691 |\n| 11 | e−e,e−e,e−e273874 | 11 | e−e,e−e,e−e,e−e,e−e4985125196 |",1]
["| xx12 | Assignment | xx34 | Assignment |\n| --- | --- | --- | --- |\n| 00 | e−e,e−e,e−e233478 | 00 | e−e,e−e,e−e,e−e,e−e4589125691 |","| (52,10,41,2−2−2)<br>∗6532292827262511<br>(66,10,55,2−2−2−2−2−2−2−2)<br>7336323011∗<br>(74,10,63,2−2−2−2−2)<br>7939343311∗<br>(80,10,69,2−2−2−2−2)<br>83413611∗<br>(84,10,73,2−2−2−2)<br>87433711∗<br>(88,10,77,2−2−2−2)<br>93463911∗<br>(94,10,83,2−2−2−2)<br>99494111∗<br>(100,10,89,2−2−2−2) | (60,10,49,2−2−2)<br>673330<br>(68,10,57,2−2−2)<br>753733<br>(76,10,65,2−2−2)<br>81403511∗<br>(82,10,71,2−2−2−2)<br>854236353411∗<br>(86,10,75,2−2−2−2−2−2)<br>91453837363511∗<br>(92,10,81,2−2−2−2−2−2−2)<br>974840393811∗<br>(98,10,87,2−2−2−2−2−2)<br>49924915311∗<br>(500,10,489,2−2−2−2) |\n| --- | --- |\n| (100,21,78,2−2−2)<br>18391898786<br>(184,38,145,2−2−2−2−2)<br>831415414413<br>(832,200,631,2−2−2−2) | (200,45,154,2−2−2)<br>515255253<br>(516,116,399,2−2−2)<br>99994999499849974996<br>(10000,2475,7524,2−2−2−2−2) |",0]
["|  | ProcessingTime | RenderingTime |\n| --- | --- | --- |\n| 3DObject | 25ms | 9ms |","| Processing | 23ms | <1ms |\n| --- | --- | --- |\n| CollisionDetection | <1ms | <1ms |\n| NetworkTransmission | 5ms | – |\n| TotalTime | ≈73ms(framerate≈14fps) |  |",1]
["|  | ProcessingTime | RenderingTime |\n| --- | --- | --- |\n| 3DObject | 25ms | 9ms |","|  | Time |\n| --- | --- |\n| O-GM10 | 35ms |\n| 2Dpointprocessing | 31ms |\n| 2Dlineprocessing | 40ms |\n| 3DlineRANSACsampling | 2.3ms |\n| 3DlineFitting(perline)† | 0.1ms |\n| Planeextraction | 29ms |\n| Planeﬁtting(perplane)† | 1.5ms |\n| Planematching† | 3ms |\n| Poseestimation† | 33ms |",0]
["|  | ProcessingTime | RenderingTime |\n| --- | --- | --- |\n| 3DObject | 25ms | 9ms |\n| Processing | 23ms | <1ms |","| CollisionDetection | <1ms | <1ms |\n| --- | --- | --- |\n| NetworkTransmission | 5ms | – |\n| TotalTime | ≈73ms(framerate≈14fps) |  |",1]
["|  | ProcessingTime | RenderingTime |\n| --- | --- | --- |\n| 3DObject | 25ms | 9ms |\n| Processing | 23ms | <1ms |","| 3DlineFitting(perline)† | 0.1ms |\n| --- | --- |\n| Planeextraction | 29ms |\n| Planeﬁtting(perplane)† | 1.5ms |\n| Planematching† | 3ms |\n| Poseestimation† | 33ms |",0]
["| kernel | PSF |\n| --- | --- |\n| 1 | diskwithradius=5 |\n| 2 | H=hh,h=[193684126126843691]0 |","| 3 | Gaussianwithσ=2.6 |\n| --- | --- |\n| 4 | H=1/(1+x+x),x,x=-7,...,712 |",1]
["| kernel | PSF |\n| --- | --- |\n| 1 | diskwithradius=5 |\n| 2 | H=hh,h=[193684126126843691]0 |","| Shuttle | ImageObject |\n| --- | --- |\n| K=15,L=50 | K=15,L=50 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5reachcomp<br>λ=0.2 | k=k=5reachcomp<br>λ=0.2 |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |\n| k=5 | k=5 |\n| h=1,c=0.1<br>GaussianKernel | h=1,c=0.1<br>GaussianKernel |\n| k=5,m=0.5 | k=5,m=0.5 |\n| k=5,\\|S1\\|=320,\\|S2\\|=2 | k=5,\\|S1\\|=320,\\|S2\\|=2 |",0]
["| kernel | PSF |\n| --- | --- |\n| 1 | diskwithradius=5 |\n| 2 | H=hh,h=[193684126126843691]0 |","| 3 | Gaussianwithσ=2.6 |\n| --- | --- |\n| 4 | H=1/(1+x+x),x,x=-7,...,712 |",1]
["| kernel | PSF |\n| --- | --- |\n| 1 | diskwithradius=5 |\n| 2 | H=hh,h=[193684126126843691]0 |","| k=k=5reachcomp<br>λ=0.2 | k=k=5reachcomp<br>λ=0.2 |\n| --- | --- |\n| k=5 | k=5 |\n| k=5 | k=5 |\n| k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel | k=k=5minmax<br>Banwidth=5,scale=0.2<br>GaussianKernel |\n| k=5 | k=5 |\n| h=1,c=0.1<br>GaussianKernel | h=1,c=0.1<br>GaussianKernel |\n| k=5,m=0.5 | k=5,m=0.5 |\n| k=5,\\|S1\\|=320,\\|S2\\|=2 | k=5,\\|S1\\|=320,\\|S2\\|=2 |",0]
["| Year | Site | Machine | Procs | Tﬂop/s |\n| --- | --- | --- | --- | --- |\n| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 |\n| 2012 | LANL | Appro(Mustang) | 24576 | 163 |\n| 2011 | LANL | SGIXE1300 | 4096 | 41.7 |\n| 2006 | LANL | LinuxNetworx | 448 | 1.88 |\n| 2003 | LANL | HP/Compaq(QB) | 3600 | 2.79 |","| 2002 | NERSC | IBMSP-3(375/W) | 256 | 0.058 |\n| --- | --- | --- | --- | --- |\n| 1996 | Sandia | Intel(ASCIRed) | 6800 | 0.465 |\n| 1995 | JPL | CrayT3D | 256 | 0.008 |\n| 1995 | LANL | TMCCM-5 | 512 | 0.014 |\n| 1993 | Caltech | IntelDelta | 512 | 0.010 |",1]
["| Year | Site | Machine | Procs | Tﬂop/s |\n| --- | --- | --- | --- | --- |\n| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 |\n| 2012 | LANL | Appro(Mustang) | 24576 | 163 |\n| 2011 | LANL | SGIXE1300 | 4096 | 41.7 |\n| 2006 | LANL | LinuxNetworx | 448 | 1.88 |\n| 2003 | LANL | HP/Compaq(QB) | 3600 | 2.79 |","|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["| Year | Site | Machine | Procs | Tﬂop/s |\n| --- | --- | --- | --- | --- |\n| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 |","| 2012 | LANL | Appro(Mustang) | 24576 | 163 |\n| --- | --- | --- | --- | --- |\n| 2011 | LANL | SGIXE1300 | 4096 | 41.7 |\n| 2006 | LANL | LinuxNetworx | 448 | 1.88 |\n| 2003 | LANL | HP/Compaq(QB) | 3600 | 2.79 |\n| 2002 | NERSC | IBMSP-3(375/W) | 256 | 0.058 |\n| 1996 | Sandia | Intel(ASCIRed) | 6800 | 0.465 |\n| 1995 | JPL | CrayT3D | 256 | 0.008 |\n| 1995 | LANL | TMCCM-5 | 512 | 0.014 |\n| 1993 | Caltech | IntelDelta | 512 | 0.010 |",1]
["| Year | Site | Machine | Procs | Tﬂop/s |\n| --- | --- | --- | --- | --- |\n| 2012 | OLCF | CrayXT5(Jaguar) | 262144 | 1790 |","| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| --- | --- | --- | --- | --- | --- |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25×25patch<br>25×25×25patch<br>51×51patch<br>51×51×51patch<br>75×75patch<br>75×75,multi-scale |\n| 3patchsizes |  |  |","| 3patchsizes,slices<br>3patchsizes,ortho |  |  |\n| --- | --- | --- |\n| 10<br>11 | Youngadults | 3patchsizes |\n| 3patchsizes,ortho |  |  |\n|  | Imageset | Experiment |\n| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25×25patch<br>25×25×25patch<br>51×51patch<br>51×51×51patch<br>75×75patch<br>75×75,multi-scale |\n| 3patchsizes |  |  |\n| 3patchsizes,slices<br>3patchsizes,ortho |  |  |\n| 10<br>11 | Youngadults | 3patchsizes |\n| 3patchsizes,ortho |  |  |",1]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25×25patch<br>25×25×25patch<br>51×51patch<br>51×51×51patch<br>75×75patch<br>75×75,multi-scale |\n| 3patchsizes |  |  |","|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |\n| 3 | Cor.40wks | LOSO5,NBS12 |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |\n|  | Imageset | Experiment |\n| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |\n| 3 | Cor.40wks | LOSO5,NBS12 |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |",0]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25×25patch<br>25×25×25patch<br>51×51patch<br>51×51×51patch<br>75×75patch<br>75×75,multi-scale |\n| 3patchsizes |  |  |","| 3patchsizes,slices<br>3patchsizes,ortho |  |  |\n| --- | --- | --- |\n| 10<br>11 | Youngadults | 3patchsizes |\n| 3patchsizes,ortho |  |  |\n|  | Imageset | Experiment |\n| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25×25patch<br>25×25×25patch<br>51×51patch<br>51×51×51patch<br>75×75patch<br>75×75,multi-scale |\n| 3patchsizes |  |  |\n| 3patchsizes,slices<br>3patchsizes,ortho |  |  |\n| 10<br>11 | Youngadults | 3patchsizes |\n| 3patchsizes,ortho |  |  |",1]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6<br>7<br>8<br>9 | Cor.30wks | 25×25patch<br>25×25×25patch<br>51×51patch<br>51×51×51patch<br>75×75patch<br>75×75,multi-scale |\n| 3patchsizes |  |  |","| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |\n| --- | --- | --- |\n| 3 | Cor.40wks | LOSO5,NBS12 |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |",0]
["| CorrectionType | #ofcorrection |  |\n| --- | --- | --- |\n| Polarity | Hollande | Sarkozy |\n| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 |\n| Total | 324 | 1015 |\n| Aspects | Hollande | Sarkozy |","| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject<br>Newannotation | 0<br>885<br>0<br>103<br>0<br>94<br>0<br>349 | 28<br>372<br>3<br>217<br>6<br>25<br>61<br>297 |\n| --- | --- | --- |\n| Total | 1401 | 1009 |",1]
["| CorrectionType | #ofcorrection |  |\n| --- | --- | --- |\n| Polarity | Hollande | Sarkozy |\n| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 |\n| Total | 324 | 1015 |\n| Aspects | Hollande | Sarkozy |","| SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |\n| --- | --- | --- | --- |\n| Baseline | 0.102⇓ | 0.041⇓ | 0.130 |\n| w/oIllustration | 0.107⇓ | 0.022⇓ | 0.112⇓ |\n| w/oContingency | 0.093⇓ | 0.025⇓ | 0.102⇓ |\n| w/oComparison | 0.103⇓ | 0.033⇓ | 0.113⇓ |\n| w/oAttributive | 0.113⇓ | 0.050 | 0.124 |\n| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |\n| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| withallRelations | 0.125 | .053 | 0.138 |",0]
["| CorrectionType | #ofcorrection |  |\n| --- | --- | --- |\n| Polarity | Hollande | Sarkozy |\n| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 |","| Total | 324 | 1015 |\n| --- | --- | --- |\n| Aspects | Hollande | Sarkozy |\n| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject<br>Newannotation | 0<br>885<br>0<br>103<br>0<br>94<br>0<br>349 | 28<br>372<br>3<br>217<br>6<br>25<br>61<br>297 |\n| Total | 1401 | 1009 |",1]
["| CorrectionType | #ofcorrection |  |\n| --- | --- | --- |\n| Polarity | Hollande | Sarkozy |\n| Contents-based<br>Rules-basedwithannotators<br>Rules-basedwithnickname<br>Rules-basedwithML<br>Rules-basedwithHashtags<br>Committee-based<br>Reject | 30<br>15<br>141<br>24<br>13<br>101<br>1 | 15<br>71<br>446<br>25<br>38<br>411<br>9 |","| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |\n| --- | --- | --- | --- |\n| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| withallRelations | 0.125 | .053 | 0.138 |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |","| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| --- | --- | --- | --- | --- | --- |\n| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |\n| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |\n| PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |\n| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |","| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.909 | 0.109 | 0.891 | 0.091 | 0.9 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.899 | 0.102 | 0.898 | 0.101 | 0.899 |\n| MLP | 0.924 | 0.098 | 0.902 | 0.076 | 0.914 |\n| PART | 0.896 | 0.109 | 0.891 | 0.104 | 0.894 |\n| RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |\n| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |","| PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |\n| --- | --- | --- | --- | --- | --- |\n| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |\n| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |","| RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |\n| --- | --- | --- | --- | --- | --- |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["| 3<br>10Modularreductions | GoogleNexus7 |\n| --- | --- |\n| Classical | 546 |\n| Barrett | 579 |","| FirstMethod | 569 |\n| --- | --- |\n| SecondMethod | 860 |",1]
["| 3<br>10Modularreductions | GoogleNexus7 |\n| --- | --- |\n| Classical | 546 |\n| Barrett | 579 |","| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |\n| --- | --- | --- | --- | --- |\n| Classical | 2998 | 9945 | 34029 | 131817 |\n| Barrett | 3126 | 8072 | 22779 | 72533 |\n| FirstMethod | 3965 | 8421 | 21840 | 68012 |\n| SecondMethod | 4975 | 8629 | 19946 | 58948 |",0]
["| 3<br>10Modularreductions | GoogleNexus7 |\n| --- | --- |\n| Classical | 546 |\n| Barrett | 579 |","| FirstMethod | 569 |\n| --- | --- |\n| SecondMethod | 860 |",1]
["| 3<br>10Modularreductions | GoogleNexus7 |\n| --- | --- |\n| Classical | 546 |\n| Barrett | 579 |","| Barrett | 3126 | 8072 | 22779 | 72533 |\n| --- | --- | --- | --- | --- |\n| FirstMethod | 3965 | 8421 | 21840 | 68012 |\n| SecondMethod | 4975 | 8629 | 19946 | 58948 |",0]
["| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |","| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| --- | --- | --- |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",1]
["| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |","| 1001 | 10.2M | 4.62 |\n| --- | --- | --- |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",1]
["| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |\n| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |","| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",1]
["| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |\n| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |","| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |\n| 0.6 | 1 | 0.92 | 0.75 | 0.88 |\n| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |","| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",1]
["| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |","| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| --- | --- | --- | --- | --- |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |\n| --- | --- | --- | --- | --- |\n| 1 | 3r/4 | single | single | 40 |","| 2 | r | single | single | 30 |\n| --- | --- | --- | --- | --- |\n| 3 | r | single | double | 25 |\n| 4 | r | double | double | 5 |",1]
["| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |\n| --- | --- | --- | --- | --- |\n| 1 | 3r/4 | single | single | 40 |","| Method | Protein | DNA | Music | Sports | Compound |\n| --- | --- | --- | --- | --- | --- |\n| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |\n| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |\n| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |\n| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |\n| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |\n| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |\n| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |\n| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |\n| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |\n| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |\n| LAK | 31,718 | - | - | - | - |\n| GAK | 25,252 | >48h | 101,079 | >48h | >48h |\n| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |\n| CGK+Kernel | 31 | 95 | 196 | >48h | >48h |",0]
["| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |\n| --- | --- | --- | --- | --- |\n| 1 | 3r/4 | single | single | 40 |\n| 2 | r | single | single | 30 |","| 3 | r | single | double | 25 |\n| --- | --- | --- | --- | --- |\n| 4 | r | double | double | 5 |",1]
["| Stage | cellradius | #ofnuclei | #ofchromosomes | avg.time(min) |\n| --- | --- | --- | --- | --- |\n| 1 | 3r/4 | single | single | 40 |\n| 2 | r | single | single | 30 |","| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |\n| --- | --- | --- | --- | --- | --- |\n| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |\n| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |\n| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |\n| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |\n| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |\n| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |\n| LAK | 31,718 | - | - | - | - |\n| GAK | 25,252 | >48h | 101,079 | >48h | >48h |\n| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |\n| CGK+Kernel | 31 | 95 | 196 | >48h | >48h |",0]
["| δ | C=2δ+1 | C=C+1 | K1 | K2 | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 7 | 8 | 1 | 2 |  |\n| 4 | 9 | 10 | 1 | 3 |  |\n| 4 | 9 | 10 | 2 | 2 |  |\n| 5 | 11 | 12 | 1 | 4 |  |\n| 5 | 11 | 12 | 2 | 3 |  |\n| 6 | 13 | 14 | 1 | 5 |  |","| 6 | 13 | 14 | 2 | 4 |  |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 13 | 14 | 3 | 3 |  |\n| 7 | 15 | 16 | 1 | 6 |  |\n| 7 | 15 | 16 | 2 | 5 |  |\n| 7 | 15 | 16 | 3 | 4 |  |\n| 8 | 17 | 18 | 1 | 7 |  |\n| 8 | 17 | 18 | 2 | 6 |  |\n| 8 | 17 | 18 | 3 | 5 |  |\n| 8 | 17 | 18 | 4 | 4 |  |\n| 9 | 19 | 20 | 1 | 8 |  |\n| 9 | 19 | 20 | 2 | 7 |  |\n| 9 | 19 | 20 | 3 | 6 |  |\n| 9 | 19 | 20 | 4 | 5 |  |\n| 10 | 21 | 22 | 1 | 9 |  |\n| 10 | 21 | 22 | 2 | 8 |  |\n| 10 | 21 | 22 | 3 | 7 |  |\n| 10 | 21 | 22 | 4 | 6 |  |\n| 10 | 21 | 22 | 5 | 5 |  |\n| 11 | 23 | 24 | 1 | 10 |  |\n| 11 | 23 | 24 | 2 | 9 |  |\n| 11 | 23 | 24 | 3 | 8 |  |\n| 11 | 23 | 24 | 4 | 7 |  |\n| 11 | 23 | 24 | 5 | 6 |  |",1]
["| δ | C=2δ+1 | C=C+1 | K1 | K2 | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 7 | 8 | 1 | 2 |  |\n| 4 | 9 | 10 | 1 | 3 |  |\n| 4 | 9 | 10 | 2 | 2 |  |\n| 5 | 11 | 12 | 1 | 4 |  |\n| 5 | 11 | 12 | 2 | 3 |  |\n| 6 | 13 | 14 | 1 | 5 |  |","| K | dc | (d+1)/Kc | d/Kc | α(from)d |\n| --- | --- | --- | --- | --- |\n| 2 | 2 | 1.5 | 1 | 1 |\n| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |\n| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",0]
["| δ | C=2δ+1 | C=C+1 | K1 | K2 | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 7 | 8 | 1 | 2 |  |\n| 4 | 9 | 10 | 1 | 3 |  |\n| 4 | 9 | 10 | 2 | 2 |  |\n| 5 | 11 | 12 | 1 | 4 |  |\n| 5 | 11 | 12 | 2 | 3 |  |\n| 6 | 13 | 14 | 1 | 5 |  |\n| 6 | 13 | 14 | 2 | 4 |  |","| 6 | 13 | 14 | 3 | 3 |  |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 15 | 16 | 1 | 6 |  |\n| 7 | 15 | 16 | 2 | 5 |  |\n| 7 | 15 | 16 | 3 | 4 |  |\n| 8 | 17 | 18 | 1 | 7 |  |\n| 8 | 17 | 18 | 2 | 6 |  |\n| 8 | 17 | 18 | 3 | 5 |  |\n| 8 | 17 | 18 | 4 | 4 |  |\n| 9 | 19 | 20 | 1 | 8 |  |\n| 9 | 19 | 20 | 2 | 7 |  |\n| 9 | 19 | 20 | 3 | 6 |  |\n| 9 | 19 | 20 | 4 | 5 |  |\n| 10 | 21 | 22 | 1 | 9 |  |\n| 10 | 21 | 22 | 2 | 8 |  |\n| 10 | 21 | 22 | 3 | 7 |  |\n| 10 | 21 | 22 | 4 | 6 |  |\n| 10 | 21 | 22 | 5 | 5 |  |\n| 11 | 23 | 24 | 1 | 10 |  |\n| 11 | 23 | 24 | 2 | 9 |  |\n| 11 | 23 | 24 | 3 | 8 |  |\n| 11 | 23 | 24 | 4 | 7 |  |\n| 11 | 23 | 24 | 5 | 6 |  |",1]
["| δ | C=2δ+1 | C=C+1 | K1 | K2 | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 7 | 8 | 1 | 2 |  |\n| 4 | 9 | 10 | 1 | 3 |  |\n| 4 | 9 | 10 | 2 | 2 |  |\n| 5 | 11 | 12 | 1 | 4 |  |\n| 5 | 11 | 12 | 2 | 3 |  |\n| 6 | 13 | 14 | 1 | 5 |  |\n| 6 | 13 | 14 | 2 | 4 |  |","| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| --- | --- | --- | --- | --- |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |\n| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",0]
["| Database | Precisionwith | Recallwith |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb |  |\n| DB2000 | 58.11 | 60.38 | 53.11 | 64.29 | 9.47 | 9.61 | 10.76 | 9.75 |","| DB2020 | 49.07 | 52.33 | 46.03 | 55.39 | 9.64 | 10.25 | 11.33 | 10.71 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DBCaltech | 23.84 | 24.79 | 22.23 | 26.67 | 3.95 | 4.13 | 4.77 | 9.33 |\n| DB3057 | 48.92 | 49.72 | 45.96 | 53.33 | 6.17 | 6.35 | 7.27 | 7.47 |\n| DB5276 | 37.23 | 38.34 | 34.48 | 41.09 | 6.56 | 6.79 | 7.59 | 8.72 |\n| DB3767 | 54.9 | 55.93 | 50.37 | 59.33 | 7.68 | 7.8 | 8.7 | 8.16 |",1]
["| Database | Precisionwith | Recallwith |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb |  |\n| DB2000 | 58.11 | 60.38 | 53.11 | 64.29 | 9.47 | 9.61 | 10.76 | 9.75 |","|  | Precision | Recall | F-measure | Coherence |\n| --- | --- | --- | --- | --- |\n| Notrepaired | 59.3 | 74.3 | 66.4 | 5006 |\n| AMLR(noﬁlter) | 60.0 | 74.2 | 66.7 | 0 |\n| AMLR(0.1) | 60.3 | 74.3 | 66.9 | 0 |\n| AMLR(0.05) | 60.6 | 74.2 | 67.0 | 0 |\n| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |\n| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |\n| ALCOMO | 59.9 | 74.2 | 66.7 | 2 |",0]
["| Database | Precisionwith | Recallwith |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb |","| DB2000 | 58.11 | 60.38 | 53.11 | 64.29 | 9.47 | 9.61 | 10.76 | 9.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DB2020 | 49.07 | 52.33 | 46.03 | 55.39 | 9.64 | 10.25 | 11.33 | 10.71 |\n| DBCaltech | 23.84 | 24.79 | 22.23 | 26.67 | 3.95 | 4.13 | 4.77 | 9.33 |\n| DB3057 | 48.92 | 49.72 | 45.96 | 53.33 | 6.17 | 6.35 | 7.27 | 7.47 |\n| DB5276 | 37.23 | 38.34 | 34.48 | 41.09 | 6.56 | 6.79 | 7.59 | 8.72 |\n| DB3767 | 54.9 | 55.93 | 50.37 | 59.33 | 7.68 | 7.8 | 8.7 | 8.16 |",1]
["| Database | Precisionwith | Recallwith |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WOS | WSinter | WSunion | WScomb | WOS | WSinter | WSunion | WScomb |","| AMLR(0.0) | 60.7 | 74.1 | 67.1 | 0 |\n| --- | --- | --- | --- | --- |\n| LogMap2 | 59.6 | 74.3 | 66.6 | 4998 |\n| ALCOMO | 59.9 | 74.2 | 66.7 | 2 |",0]
["|  | FID | CAFD | KL(p(y)\\|\\|p(y)) |\n| --- | --- | --- | --- |\n| test | 0 | 0 | 0 |","| adjusted | 0 | 539.8 | 0.03675 |\n| --- | --- | --- | --- |\n| generated | 73.1 | 201.4 | 0.001893 |\n| hack | 72.8 | 468.6 | 0.04941 |\n| train | 22.0 | 99.8 | 0.000572 |",1]
["|  | FID | CAFD | KL(p(y)\\|\\|p(y)) |\n| --- | --- | --- | --- |\n| test | 0 | 0 | 0 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |\n| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |\n| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["|  | FID | CAFD | KL(p(y)\\|\\|p(y)) |\n| --- | --- | --- | --- |\n| test | 0 | 0 | 0 |\n| adjusted | 0 | 539.8 | 0.03675 |\n| generated | 73.1 | 201.4 | 0.001893 |","| hack | 72.8 | 468.6 | 0.04941 |\n| --- | --- | --- | --- |\n| train | 22.0 | 99.8 | 0.000572 |",1]
["|  | FID | CAFD | KL(p(y)\\|\\|p(y)) |\n| --- | --- | --- | --- |\n| test | 0 | 0 | 0 |\n| adjusted | 0 | 539.8 | 0.03675 |\n| generated | 73.1 | 201.4 | 0.001893 |","| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |\n| --- | --- | --- | --- | --- |\n| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["| Date | Time | Type | Direction | Duratio |\n| --- | --- | --- | --- | --- |\n| 20100916 | 130748 | Voice | Incoming | 18 |","| 20100916 | 133131 | Voice | Outgoing | 99 |\n| --- | --- | --- | --- | --- |\n| 20100916 | 131324 | Voice | Incoming | 214 |\n| 20100916 | 131735 | Voice | Incoming | 72 |\n| 20100916 | 135342 | Voice | Incoming | 37 |",1]
["| Date | Time | Type | Direction | Duratio |\n| --- | --- | --- | --- | --- |\n| 20100916 | 130748 | Voice | Incoming | 18 |","| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| EddyEko | 150000 | 15000 | 20000 | 100000 |\n| FaridAL | 35000 | 150000 | 25000 | 30000 |\n| JackFack | 180000 | 80000 | 30000 | 80000 |\n| JeanKam | 450000 | 100000 | 200000 | 10000 |\n| LyneWirl | 50000 | 5000 | 10000 | 70000 |\n| Menwick | 200000 | 20000 | 5000 | 5000 |\n| SarahDong | 45000 | 25000 | 50000 | 60000 |\n| SlyDolce | 70000 | 35000 | 40000 | 15000 |",0]
["| Date | Time | Type | Direction | Duratio |\n| --- | --- | --- | --- | --- |\n| 20100916 | 130748 | Voice | Incoming | 18 |\n| 20100916 | 133131 | Voice | Outgoing | 99 |\n| 20100916 | 131324 | Voice | Incoming | 214 |","| 20100916 | 131735 | Voice | Incoming | 72 |\n| --- | --- | --- | --- | --- |\n| 20100916 | 135342 | Voice | Incoming | 37 |",1]
["| Date | Time | Type | Direction | Duratio |\n| --- | --- | --- | --- | --- |\n| 20100916 | 130748 | Voice | Incoming | 18 |\n| 20100916 | 133131 | Voice | Outgoing | 99 |\n| 20100916 | 131324 | Voice | Incoming | 214 |","| JackFack | 180000 | 80000 | 30000 | 80000 |\n| --- | --- | --- | --- | --- |\n| JeanKam | 450000 | 100000 | 200000 | 10000 |\n| LyneWirl | 50000 | 5000 | 10000 | 70000 |\n| Menwick | 200000 | 20000 | 5000 | 5000 |\n| SarahDong | 45000 | 25000 | 50000 | 60000 |\n| SlyDolce | 70000 | 35000 | 40000 | 15000 |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm |  |\n| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt |  |\n| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd |  |\n| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ |  |\n| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag |  |\n| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB |  |\n| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb |  |\n| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd |  |\n| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv |  |\n| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 |  |\n| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje |  |\n| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV |  |\n| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc |  |\n| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh |  |","| 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD |\n| --- | --- |\n| And,27otherdistinctaddressesthatarelistedon |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm |  |\n| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt |  |\n| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd |  |\n| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ |  |\n| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag |  |\n| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB |  |\n| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb |  |\n| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd |  |\n| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv |  |\n| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 |  |\n| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje |  |\n| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV |  |\n| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc |  |\n| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh |  |","| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i |  |\n| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r |  |\n| 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s |  |\n| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR |  |\n| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 |  |\n| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM |  |\n| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG |  |\n| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n |  |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm |  |\n| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt |  |\n| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd |  |\n| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ |  |\n| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag |  |\n| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB |  |\n| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb |  |\n| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd |  |\n| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv |  |\n| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 |  |","| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje |  |\n| --- | --- | --- |\n| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV |  |\n| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc |  |\n| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh |  |\n| 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD |  |\n| And,27otherdistinctaddressesthatarelistedon |  |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm |  |\n| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt |  |\n| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd |  |\n| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ |  |\n| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag |  |\n| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB |  |\n| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb |  |\n| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd |  |\n| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv |  |\n| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 |  |","| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR |  |\n| --- | --- | --- |\n| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 |  |\n| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM |  |\n| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG |  |\n| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n |  |",0]
["| Model | C | d | Q |\n| --- | --- | --- | --- |\n| Full | 0.14 | 4.0 | 0.40 |\n| Nodistance | 0.13 | 3.8 | 0.33 |","| Nocategories | 0.01 | 3.8 | 0.29 |\n| --- | --- | --- | --- |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",1]
["| Model | C | d | Q |\n| --- | --- | --- | --- |\n| Full | 0.14 | 4.0 | 0.40 |\n| Nodistance | 0.13 | 3.8 | 0.33 |","| Model | 3questions | 4questions |\n| --- | --- | --- |\n| Tree | 0.9767 | 0.9683 |\n| TreeU | 0.9913 | 0.9887 |\n| fMF | 0.9509 | 0.9480 |\n| Q-Embeddingmodel | 0.9507 | 0.9486 |\n| Q-Ratingmodel | 0.9472 | 0.9469 |",0]
["| Model | C | d | Q |\n| --- | --- | --- | --- |\n| Full | 0.14 | 4.0 | 0.40 |","| Nodistance | 0.13 | 3.8 | 0.33 |\n| --- | --- | --- | --- |\n| Nocategories | 0.01 | 3.8 | 0.29 |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",1]
["| Model | C | d | Q |\n| --- | --- | --- | --- |\n| Full | 0.14 | 4.0 | 0.40 |","| TreeU | 0.9913 | 0.9887 |\n| --- | --- | --- |\n| fMF | 0.9509 | 0.9480 |\n| Q-Embeddingmodel | 0.9507 | 0.9486 |\n| Q-Ratingmodel | 0.9472 | 0.9469 |",0]
["| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) |\n| --- | --- | --- |\n| WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] |\n| WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |","| WD10EZEX-08WN4A0 | 1TB | [2,265-2,281]<br>[2,455-2,503]<br>[6,700-6,845]<br>[8,212-8,873]<br>[12,839-12,840] |\n| --- | --- | --- |\n| WD40EZRZ-00GXCB0 | 4TB | [4,590-6,550]<br>[7,502-7,900]<br>[8,398-8,618]<br>[9,420-10,200] |",1]
["| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) |\n| --- | --- | --- |\n| WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] |\n| WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |","| Input | KMC2 | Kmerlight |\n| --- | --- | --- |\n| 23billion<br>21-mers | 2350sec-<br>(1GBRAM,20GBHDD) | 1395sec(120MBRAM) |\n| 9.2billion<br>63-mers | Abort-(1GBRAM)<br>3150sec-<br>(2GBRAM,42GBHDD) | 995sec(120MBRAM)<br>1200sec(500MBRAM)<br>1291sec(960MBRAM) |\n| 144billion<br>63-mers | 4.5hr-<br>(32GBRAM,264GBHDD) | 2hr10min(120MBRAM) |\n| 61billion<br>85-mers | Abort-(32GBRAM)<br>2hr20min-<br>(64GBRAM,250GBHDD) | 1hr10min(120MBRAM) |",0]
["| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) |\n| --- | --- | --- |\n| WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] |\n| WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |","| WD10EZEX-08WN4A0 | 1TB | [2,265-2,281]<br>[2,455-2,503]<br>[6,700-6,845]<br>[8,212-8,873]<br>[12,839-12,840] |\n| --- | --- | --- |\n| WD40EZRZ-00GXCB0 | 4TB | [4,590-6,550]<br>[7,502-7,900]<br>[8,398-8,618]<br>[9,420-10,200] |",1]
["| HDDModel | Capacity | AttackFrequency<br>Window(s)(Hz) |\n| --- | --- | --- |\n| WD3200AAKS-75L9A0 | 320GB | [2,300-2,510] |\n| WD5000AAKS-75A7B0 | 500GB | [2,240-2,520]<br>[3,800-4,020]<br>[4,725-5,006] |","| 144billion<br>63-mers | 4.5hr-<br>(32GBRAM,264GBHDD) | 2hr10min(120MBRAM) |\n| --- | --- | --- |\n| 61billion<br>85-mers | Abort-(32GBRAM)<br>2hr20min-<br>(64GBRAM,250GBHDD) | 1hr10min(120MBRAM) |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",0]
["| vertex | type | index | ValueofT[i] | setSi |\n| --- | --- | --- | --- | --- |\n| pi | 1 | 1 | 0,1,2or3 | v∈Sii |\n| si | 2 | 1 | 1or2 | S={h}orS={l}iiii |\n| qi | 2 | 1 | 3 | S={h,l}iii |\n| ri | 2 | 2 | 3 | S={h,m}iii |","| ti | 3 | 1 | 0or2 | S={m}orS=Φiii |\n| --- | --- | --- | --- | --- |\n| ui | 4 | 1 | 0or2 | S={m}orS=Φiii |",1]
["| vertex | type | index | ValueofT[i] | setSi |\n| --- | --- | --- | --- | --- |\n| pi | 1 | 1 | 0,1,2or3 | v∈Sii |\n| si | 2 | 1 | 1or2 | S={h}orS={l}iiii |\n| qi | 2 | 1 | 3 | S={h,l}iii |\n| ri | 2 | 2 | 3 | S={h,m}iii |","| s | si | sj | τ(s\\|s,s)ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 1−a<br>0<br>0<br>a |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>1 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |",0]
["| vertex | type | index | ValueofT[i] | setSi |\n| --- | --- | --- | --- | --- |\n| pi | 1 | 1 | 0,1,2or3 | v∈Sii |","| si | 2 | 1 | 1or2 | S={h}orS={l}iiii |\n| --- | --- | --- | --- | --- |\n| qi | 2 | 1 | 3 | S={h,l}iii |\n| ri | 2 | 2 | 3 | S={h,m}iii |\n| ti | 3 | 1 | 0or2 | S={m}orS=Φiii |\n| ui | 4 | 1 | 0or2 | S={m}orS=Φiii |",1]
["| vertex | type | index | ValueofT[i] | setSi |\n| --- | --- | --- | --- | --- |\n| pi | 1 | 1 | 0,1,2or3 | v∈Sii |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |",0]
["| Method | mIoUclass | mIoUcategory |\n| --- | --- | --- |\n| PSP | 81.2 | 91.2 |","| GRFP+LRR-4x | 72.8 | 88.6 |\n| --- | --- | --- |\n| LRR-4x<br>Adelaidecontext<br>DeepLabv2-CRF | 71.8<br>71.6<br>70.4 | 88.4<br>87.3<br>86.4 |\n| GRFP+Dilation10 | 67.8 | 86.7 |\n| Dilation10<br>DPN<br>FCN8s | 67.1<br>66.8<br>65.3 | 86.5<br>86.0<br>85.7 |",1]
["| Method | mIoUclass | mIoUcategory |\n| --- | --- | --- |\n| PSP | 81.2 | 91.2 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |\n| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["| Method | mIoUclass | mIoUcategory |\n| --- | --- | --- |\n| PSP | 81.2 | 91.2 |","| GRFP+LRR-4x | 72.8 | 88.6 |\n| --- | --- | --- |\n| LRR-4x<br>Adelaidecontext<br>DeepLabv2-CRF | 71.8<br>71.6<br>70.4 | 88.4<br>87.3<br>86.4 |\n| GRFP+Dilation10 | 67.8 | 86.7 |\n| Dilation10<br>DPN<br>FCN8s | 67.1<br>66.8<br>65.3 | 86.5<br>86.0<br>85.7 |",1]
["| Method | mIoUclass | mIoUcategory |\n| --- | --- | --- |\n| PSP | 81.2 | 91.2 |","| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| --- | --- | --- | --- |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.457 | 0.445 | 0.483 |\n| Single-10k | 0.623 | 0.647 | 0.641 |\n| Joint-10k | 0.650 | 0.636 | 0.635 |\n| Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |\n| Single-50k | 0.492 | 0.486 | 0.534 |","| Joint-50k | 0.571 | 0.591 | 0.613 |\n| --- | --- | --- | --- |\n| Bag-of-Words-100K | 0.335 | 0.324 | 0.322 |\n| Single-100k | 0.431 | 0.413 | 0.456 |\n| Joint-100k | 0.495 | 0.518 | 0.507 |",1]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.457 | 0.445 | 0.483 |\n| Single-10k | 0.623 | 0.647 | 0.641 |\n| Joint-10k | 0.650 | 0.636 | 0.635 |\n| Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |\n| Single-50k | 0.492 | 0.486 | 0.534 |","| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |\n| Single-10k | 0.168 | 0.172 | 0.165 |\n| Joint-10k | 0.190 | 0.177 | 0.181 |\n| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |\n| Single-50k | 0.218 | 0.228 | 0.222 |\n| Joint-50k | 0.256 | 0.250 | 0.227 |\n| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |\n| Single-100k | 0.225 | 0.218 | 0.199 |\n| Joint-100k | 0.283 | 0.256 | 0.222 |",0]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.457 | 0.445 | 0.483 |\n| Single-10k | 0.623 | 0.647 | 0.641 |\n| Joint-10k | 0.650 | 0.636 | 0.635 |\n| Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |\n| Single-50k | 0.492 | 0.486 | 0.534 |","| Joint-50k | 0.571 | 0.591 | 0.613 |\n| --- | --- | --- | --- |\n| Bag-of-Words-100K | 0.335 | 0.324 | 0.322 |\n| Single-100k | 0.431 | 0.413 | 0.456 |\n| Joint-100k | 0.495 | 0.518 | 0.507 |",1]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.457 | 0.445 | 0.483 |\n| Single-10k | 0.623 | 0.647 | 0.641 |\n| Joint-10k | 0.650 | 0.636 | 0.635 |\n| Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |\n| Single-50k | 0.492 | 0.486 | 0.534 |","| Single-100k | 0.225 | 0.218 | 0.199 |\n| --- | --- | --- | --- |\n| Joint-100k | 0.283 | 0.256 | 0.222 |",0]
["| 0∼10px |\n| --- |\n| PRH |","| 0.120.100.11 |\n| --- |\n| 0.170.190.18 |\n| 0.630.570.60 |",1]
["| 0∼10px |\n| --- |\n| PRH |","| Noisecoeﬃcient | horizontal | vertical |\n| --- | --- | --- |\n| 0.01 | 1.2992 | 1.2739 |\n| 0.03 | 1.5758 | 1.2661 |\n| 0.05 | 2.0938 | 1.2753 |\n| 0.07 | 2.3385 | 1.3668 |",0]
["| 0∼10px |\n| --- |\n| PRH |","| 0.120.100.11 |\n| --- |\n| 0.170.190.18 |\n| 0.630.570.60 |",1]
["| 0∼10px |\n| --- |\n| PRH |","| 0.03 | 1.5758 | 1.2661 |\n| --- | --- | --- |\n| 0.05 | 2.0938 | 1.2753 |\n| 0.07 | 2.3385 | 1.3668 |",0]
["| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 |\n| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |","| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |",1]
["| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 |\n| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |","| Actions | SVM<br>-SW | RNN<br>-SW | CA<br>-RNN | JCR<br>-RNN |\n| --- | --- | --- | --- | --- |\n| drinking | 0.146 | 0.441 | 0.584 | 0.574 |\n| eating | 0.465 | 0.550 | 0.558 | 0.523 |\n| writing | 0.645 | 0.859 | 0.749 | 0.822 |\n| openingcupboard | 0.308 | 0.321 | 0.490 | 0.495 |\n| washinghands | 0.562 | 0.668 | 0.672 | 0.718 |\n| openingmicrowave | 0.607 | 0.665 | 0.468 | 0.703 |\n| sweeping | 0.461 | 0.590 | 0.597 | 0.643 |\n| gargling | 0.437 | 0.550 | 0.579 | 0.623 |\n| throwingtrash | 0.554 | 0.674 | 0.430 | 0.459 |\n| wiping | 0.857 | 0.747 | 0.761 | 0.780 |\n| average | 0.540 | 0.600 | 0.596 | 0.653 |",0]
["| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 |\n| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |","| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |",1]
["| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 |\n| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |","| gargling | 0.437 | 0.550 | 0.579 | 0.623 |\n| --- | --- | --- | --- | --- |\n| throwingtrash | 0.554 | 0.674 | 0.430 | 0.459 |\n| wiping | 0.857 | 0.747 | 0.761 | 0.780 |\n| average | 0.540 | 0.600 | 0.596 | 0.653 |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1018 | 64 | 1018 | 64 | 1018 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1018 | 64 | 1018 | 64 | 1018 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1018 | 64 | 1018 | 64 | 1018 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1018 | 64 | 1018 | 64 | 1018 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| Comparisontdfpadj.p |\n| --- |\n| AntibioticKC5.779672.14∗108.58∗10 |\n| AntibioticNI2.604670.01130.0453 |","| MushroomKC-2.806710.006470.0259 |\n| --- |\n| MushroomNI3.384710.001170.00466 |",1]
["| Comparisontdfpadj.p |\n| --- |\n| AntibioticKC5.779672.14∗108.58∗10 |\n| AntibioticNI2.604670.01130.0453 |","| SL | AminoAcid | Short | Index |\n| --- | --- | --- | --- |\n| 1 | Glycine | GLY | -0.4 |\n| 2 | Alanine | ALA | 1.8 |\n| 3 | Proline | PRO | 1.6 |\n| 4 | Valine | VAL | 4.2 |\n| 5 | Leucine | LEU | 3.8 |\n| 6 | Isoleucine | ILE | 4.5 |\n| 7 | Methionine | MET | 1.9 |\n| 8 | Phenylalanine | PHE | 2.8 |\n| 9 | Tyrosine | TYR | -1.3 |\n| 10 | Tryptophan | TRP | -0.9 |\n| 11 | Serine | SER | -0.8 |\n| 12 | Threonine | THR | -0.7 |\n| 13 | Cysteine | CYS | 2.5 |\n| 14 | Asparagine | ASN | -3.5 |\n| 15 | Glutamine | GLN | -3.5 |\n| 16 | Lysine | LYS | -3.9 |\n| 17 | Histidine | HIS | -3.2 |\n| 18 | Arginine | ARG | -4.5 |\n| 19 | Aspartate | ASP | -3.5 |\n| 20 | Glutamate | GLU | -3.5 |",0]
["| Comparisontdfpadj.p |\n| --- |\n| AntibioticKC5.779672.14∗108.58∗10 |","| AntibioticNI2.604670.01130.0453 |\n| --- |\n| MushroomKC-2.806710.006470.0259 |\n| MushroomNI3.384710.001170.00466 |",1]
["| Comparisontdfpadj.p |\n| --- |\n| AntibioticKC5.779672.14∗108.58∗10 |","| 7 | Methionine | MET | 1.9 |\n| --- | --- | --- | --- |\n| 8 | Phenylalanine | PHE | 2.8 |\n| 9 | Tyrosine | TYR | -1.3 |\n| 10 | Tryptophan | TRP | -0.9 |\n| 11 | Serine | SER | -0.8 |\n| 12 | Threonine | THR | -0.7 |\n| 13 | Cysteine | CYS | 2.5 |\n| 14 | Asparagine | ASN | -3.5 |\n| 15 | Glutamine | GLN | -3.5 |\n| 16 | Lysine | LYS | -3.9 |\n| 17 | Histidine | HIS | -3.2 |\n| 18 | Arginine | ARG | -4.5 |\n| 19 | Aspartate | ASP | -3.5 |\n| 20 | Glutamate | GLU | -3.5 |",0]
["| CD | UoA | mn2017 | med2017 | mn2014 | med2014 |\n| --- | --- | --- | --- | --- | --- |\n| Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 |\n| Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 |\n| N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 |\n| N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 |\n| Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |","| Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 |\n| --- | --- | --- | --- | --- | --- |\n| Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |\n| Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 |\n| Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 |\n| Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |",1]
["| CD | UoA | mn2017 | med2017 | mn2014 | med2014 |\n| --- | --- | --- | --- | --- | --- |\n| Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 |\n| Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 |\n| N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 |\n| N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 |\n| Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |","| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |\n| --- | --- | --- | --- | --- |\n| movie | 0.623 | 0.672 | 0.681 | 0.684 |\n| sraa | 0.559 | 0.628 | 0.618 | 0.547 |\n| webkb | 0.615 | 0.685 | 0.640 | 0.646 |\n| med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 |\n| ﬁnancial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 |",0]
["| CD | UoA | mn2017 | med2017 | mn2014 | med2014 |\n| --- | --- | --- | --- | --- | --- |\n| Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 |\n| Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 |\n| N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 |\n| N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 |\n| Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |\n| Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 |\n| Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |","| Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 |\n| --- | --- | --- | --- | --- | --- |\n| Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 |\n| Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |",1]
["| CD | UoA | mn2017 | med2017 | mn2014 | med2014 |\n| --- | --- | --- | --- | --- | --- |\n| Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 |\n| Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 |\n| N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 |\n| N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 |\n| Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |\n| Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 |\n| Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |","| sraa | 0.559 | 0.628 | 0.618 | 0.547 |\n| --- | --- | --- | --- | --- |\n| webkb | 0.615 | 0.685 | 0.640 | 0.646 |\n| med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 |\n| ﬁnancial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 |",0]
["| Dataset | DDER | CoR | RLMS | Ours |\n| --- | --- | --- | --- | --- |\n| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |\n| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |\n| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |\n| my01 | 5.61 | 2.79 | 4.35 | 2.89 |\n| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |\n| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |\n| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |","| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| --- | --- | --- | --- | --- |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",1]
["| Dataset | DDER | CoR | RLMS | Ours |\n| --- | --- | --- | --- | --- |\n| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |\n| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |\n| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |\n| my01 | 5.61 | 2.79 | 4.35 | 2.89 |\n| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |\n| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |\n| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |","| Dataset | PTA | MP | DV | Ours |\n| --- | --- | --- | --- | --- |\n| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |\n| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 |\n| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |\n| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |",0]
["| Dataset | DDER | CoR | RLMS | Ours |\n| --- | --- | --- | --- | --- |\n| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |","| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |\n| --- | --- | --- | --- | --- |\n| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |\n| my01 | 5.61 | 2.79 | 4.35 | 2.89 |\n| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |\n| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |\n| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |\n| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",1]
["| Dataset | DDER | CoR | RLMS | Ours |\n| --- | --- | --- | --- | --- |\n| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |","| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |\n| --- | --- | --- | --- | --- |\n| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |",0]
["| TheTitanicdataset |  |  |\n| --- | --- | --- |\n| Attributes | yesno | comment |\n| ﬁrstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome |","| TheAdultdataset |  |  |\n| --- | --- | --- |\n| Attributes | yesno | comment |\n| age<30<br>age>60<br>private<br>self-emp<br>gov<br>education-num>12<br>education-num<9<br>Prof<br>white<br>male<br>hours>50<br>hours<30<br>US<br>>50K | 1451534327<br>360645236<br>3390614936<br>555743285<br>654942293<br>1211036732<br>640842434<br>2387424968<br>417627080<br>3265016192<br>543543407<br>615142691<br>438325010<br>1168737155 | young<br>old<br>privatecompanyemployer<br>selfemployment<br>governmentemployer<br>educationyears<br>educationyears<br>professionaloccupation<br>race<br>weeklyworkinghours<br>weeklyworkinghours<br>nationality<br>annualincome,outcome |",1]
["| TheTitanicdataset |  |  |\n| --- | --- | --- |\n| Attributes | yesno | comment |\n| ﬁrstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome |","| Year | Dataset | Pairs | Source |\n| --- | --- | --- | --- |\n| 2012<br>2012<br>2012<br>2012<br>2012 | MSRpar<br>MSRvid<br>OnWN<br>SMTnews<br>SMTeuroparl | 1500<br>1500<br>750<br>750<br>750 | newswire<br>videos<br>glosses<br>WMTeval.<br>WMTeval. |\n| 2013<br>2013<br>2013<br>2013 | HDL<br>FNWN<br>OnWN<br>SMT | 750<br>189<br>561<br>750 | newswire<br>glosses<br>glosses<br>MTeval. |\n| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |\n| 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions |\n| 2017 | Trial | 23 | MixedSTS2016 |",0]
["| TheTitanicdataset |  |  |\n| --- | --- | --- |\n| Attributes | yesno | comment |\n| ﬁrstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome |\n| TheAdultdataset |  |  |","| Attributes | yesno | comment |\n| --- | --- | --- |\n| age<30<br>age>60<br>private<br>self-emp<br>gov<br>education-num>12<br>education-num<9<br>Prof<br>white<br>male<br>hours>50<br>hours<30<br>US<br>>50K | 1451534327<br>360645236<br>3390614936<br>555743285<br>654942293<br>1211036732<br>640842434<br>2387424968<br>417627080<br>3265016192<br>543543407<br>615142691<br>438325010<br>1168737155 | young<br>old<br>privatecompanyemployer<br>selfemployment<br>governmentemployer<br>educationyears<br>educationyears<br>professionaloccupation<br>race<br>weeklyworkinghours<br>weeklyworkinghours<br>nationality<br>annualincome,outcome |",1]
["| TheTitanicdataset |  |  |\n| --- | --- | --- |\n| Attributes | yesno | comment |\n| ﬁrstClass<br>secondClass<br>thirdClass<br>crew<br>female<br>survived | 3251876<br>2851916<br>7061495<br>8851316<br>4701736<br>7111490 | outcome |\n| TheAdultdataset |  |  |","| 2014<br>2014<br>2014<br>2014<br>2014<br>2014 | HDL<br>OnWN<br>Deft-forum<br>Deft-news<br>Images<br>Tweet-news | 750<br>750<br>450<br>300<br>750<br>750 | newswireheadlines<br>glosses<br>forumposts<br>newssummary<br>imagedescriptions<br>tweet-newspairs |\n| --- | --- | --- | --- |\n| 2015<br>2015<br>2015<br>2015<br>2015 | HDL<br>Images<br>Ans.-student<br>Ans.-forum<br>Belief | 750<br>750<br>750<br>375<br>375 | newswireheadlines<br>imagedescriptions<br>studentanswers<br>Q&Aforumanswers<br>committedbelief |\n| 2016<br>2016<br>2016<br>2016<br>2016 | HDL<br>Plagiarism<br>post-editing<br>Ans.-Ans.<br>Quest.-Quest. | 249<br>230<br>244<br>254<br>209 | newswireheadlines<br>short-answerplag.<br>MTpostedits<br>Q&Aforumanswers<br>Q&Aforumquestions |\n| 2017 | Trial | 23 | MixedSTS2016 |",0]
["|  | Leastsquares | Uniform | Stability | Generality |\n| --- | --- | --- | --- | --- |\n| Lagrange | Good | OK | OK | Any |","| Legendre | Verygood | Good | OK | Rational |\n| --- | --- | --- | --- | --- |\n| Chebyshev | Verygood | VeryGood | OK | Rational |\n| Bernstein | OK | OK | VeryGood | Rational |\n| Weak | Verygood | OK | VeryBad | Integrable |",1]
["|  | Leastsquares | Uniform | Stability | Generality |\n| --- | --- | --- | --- | --- |\n| Lagrange | Good | OK | OK | Any |","|  | Omniscient:<br>fulldistances | Agents’ordinalprefs<br>andfacilitylocations | Onlyagents’ordinal<br>prefs(lowerbounds) |\n| --- | --- | --- | --- |\n| Total(Sum)SocialChoice | 1 | 3 | 5(3) |\n| MedianSocialChoice | 1 | 3 | 5(5) |\n| MinWeightBipartiteMatching | 1 | 3 | n(3) |\n| EgalitarianBipartiteMatching | 1 | 3 | -(2) |\n| FacilityLocation | 1.488 | 3.976 | ∞(∞) |\n| k-center | 2 | 5 | -(-) |\n| k-median | 2.675 | 6.35 | -(Ω(n)) |",0]
["|  | Leastsquares | Uniform | Stability | Generality |\n| --- | --- | --- | --- | --- |\n| Lagrange | Good | OK | OK | Any |\n| Legendre | Verygood | Good | OK | Rational |\n| Chebyshev | Verygood | VeryGood | OK | Rational |","| Bernstein | OK | OK | VeryGood | Rational |\n| --- | --- | --- | --- | --- |\n| Weak | Verygood | OK | VeryBad | Integrable |",1]
["|  | Leastsquares | Uniform | Stability | Generality |\n| --- | --- | --- | --- | --- |\n| Lagrange | Good | OK | OK | Any |\n| Legendre | Verygood | Good | OK | Rational |\n| Chebyshev | Verygood | VeryGood | OK | Rational |","| FacilityLocation | 1.488 | 3.976 | ∞(∞) |\n| --- | --- | --- | --- |\n| k-center | 2 | 5 | -(-) |\n| k-median | 2.675 | 6.35 | -(Ω(n)) |",0]
["| lerror∞ | .05 | .01 | 0.005 | 0.001 |\n| --- | --- | --- | --- | --- |\n| rand-20 | 3.37 | 1.56 | 1.12 | 0.25 |\n| rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |","| rand-75 | 23.87 | 23.87 | 9.8 | 1.5 |\n| --- | --- | --- | --- | --- |\n| rand-100 | 19.24 | 19.24 | 10.6 | 1.75 |\n| lda-20 | 1.6 | .61 | .34 | .10 |",1]
["| lerror∞ | .05 | .01 | 0.005 | 0.001 |\n| --- | --- | --- | --- | --- |\n| rand-20 | 3.37 | 1.56 | 1.12 | 0.25 |\n| rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |","| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| lerror∞ | .05 | .01 | 0.005 | 0.001 |\n| --- | --- | --- | --- | --- |\n| rand-20 | 3.37 | 1.56 | 1.12 | 0.25 |\n| rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |","| rand-75 | 23.87 | 23.87 | 9.8 | 1.5 |\n| --- | --- | --- | --- | --- |\n| rand-100 | 19.24 | 19.24 | 10.6 | 1.75 |\n| lda-20 | 1.6 | .61 | .34 | .10 |",1]
["| lerror∞ | .05 | .01 | 0.005 | 0.001 |\n| --- | --- | --- | --- | --- |\n| rand-20 | 3.37 | 1.56 | 1.12 | 0.25 |\n| rand-50 | 18.0 | 11.76 | 5.18 | 0.91 |","| 80.55 | 94.65 | 98.26 | 0.399 |\n| --- | --- | --- | --- |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| Method | Accuracy |\n| --- | --- |\n| DAG-CNN | 77.5 |\n| DeepSpatialPyramid | 78.3 |\n| B-CNN | 79.0 |\n| FV-CNN | 79.2 |\n| SPLeap | 73.5 |\n| StandardVGG16 | 69.6 |","| StandardVGG16FT | 76.4 |\n| --- | --- |\n| Multi-ScaleNetwork | 79.0 |\n| OurApproach | 81.9 |\n| OurApproach+StandardVGG16 | 83.1 |",1]
["| Method | Accuracy |\n| --- | --- |\n| DAG-CNN | 77.5 |\n| DeepSpatialPyramid | 78.3 |\n| B-CNN | 79.0 |\n| FV-CNN | 79.2 |\n| SPLeap | 73.5 |\n| StandardVGG16 | 69.6 |","| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |\n| VGG16 | 224×224 | 10 |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| Method | Accuracy |\n| --- | --- |\n| DAG-CNN | 77.5 |\n| DeepSpatialPyramid | 78.3 |\n| B-CNN | 79.0 |\n| FV-CNN | 79.2 |\n| SPLeap | 73.5 |","| StandardVGG16 | 69.6 |\n| --- | --- |\n| StandardVGG16FT | 76.4 |\n| Multi-ScaleNetwork | 79.0 |\n| OurApproach | 81.9 |\n| OurApproach+StandardVGG16 | 83.1 |",1]
["| Method | Accuracy |\n| --- | --- |\n| DAG-CNN | 77.5 |\n| DeepSpatialPyramid | 78.3 |\n| B-CNN | 79.0 |\n| FV-CNN | 79.2 |\n| SPLeap | 73.5 |","| SqueezeNet | 224×224 | 2.5 |\n| --- | --- | --- |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| Evaldataset | Duration(minute) | Description |\n| --- | --- | --- |\n| Eval-Set-1 | 70 | Diarization |\n| Eval-Set-2 | 21 | Participation |\n| Eval-Set-3 | 70 | Dominancerating |","| Eval-Set-4 | 30 | Emphasis |\n| --- | --- | --- |\n| Eval-Set-5 | 30 | Curiosity(question-inﬂection) |\n| Eval-Set-6 | 70 | Engagement(speechrate) |\n| Eval-Set-7 | 87 | SpeechActivityDetection |",1]
["| Evaldataset | Duration(minute) | Description |\n| --- | --- | --- |\n| Eval-Set-1 | 70 | Diarization |\n| Eval-Set-2 | 21 | Participation |\n| Eval-Set-3 | 70 | Dominancerating |","| Focus | Description |\n| --- | --- |\n| F0 | baselinebroadcastspeech(clean,planned) |\n| F1 | spontaneousbroadcastspeech(clean) |\n| F2 | lowﬁdelityspeech(typicallynarrowband) |\n| F3 | speechinthepresenceofbackgroundmusic |\n| F4 | speechunderdegradedacousticalconditions |\n| F5 | non-nativespeakers(clean,planned) |\n| FX | allotherspeech(e.g.spontanousnon-native) |",0]
["| Evaldataset | Duration(minute) | Description |\n| --- | --- | --- |\n| Eval-Set-1 | 70 | Diarization |\n| Eval-Set-2 | 21 | Participation |\n| Eval-Set-3 | 70 | Dominancerating |\n| Eval-Set-4 | 30 | Emphasis |","| Eval-Set-5 | 30 | Curiosity(question-inﬂection) |\n| --- | --- | --- |\n| Eval-Set-6 | 70 | Engagement(speechrate) |\n| Eval-Set-7 | 87 | SpeechActivityDetection |",1]
["| Evaldataset | Duration(minute) | Description |\n| --- | --- | --- |\n| Eval-Set-1 | 70 | Diarization |\n| Eval-Set-2 | 21 | Participation |\n| Eval-Set-3 | 70 | Dominancerating |\n| Eval-Set-4 | 30 | Emphasis |","| F1 | spontaneousbroadcastspeech(clean) |\n| --- | --- |\n| F2 | lowﬁdelityspeech(typicallynarrowband) |\n| F3 | speechinthepresenceofbackgroundmusic |\n| F4 | speechunderdegradedacousticalconditions |\n| F5 | non-nativespeakers(clean,planned) |\n| FX | allotherspeech(e.g.spontanousnon-native) |",0]
["| 1.57φ=1.621.671.72 |\n| --- |\n| 2442 |","| 2426 |\n| --- |\n| 6457 |\n| 4444 |\n| 6437 |",1]
["| 1.57φ=1.621.671.72 |\n| --- |\n| 2442 |","| 72.46 | 72.29 |\n| --- | --- |\n| 71.7 | 71.28 |\n| 60.76 | 54.27 |\n| 57.29 | 49.37 |\n| 57.98 | 47.01 |\n| 64.13 | 57.63 |",0]
["| 1.57φ=1.621.671.72 |\n| --- |\n| 2442 |","| 2426 |\n| --- |\n| 6457 |\n| 4444 |\n| 6437 |",1]
["| 1.57φ=1.621.671.72 |\n| --- |\n| 2442 |","| 57.29 | 49.37 |\n| --- | --- |\n| 57.98 | 47.01 |\n| 64.13 | 57.63 |",0]
["| Block | Timeperformance[s] |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total |\n| 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |","|  | Pend./job | St.-in/job | Exec./job | St.-out/job | Overh./job | Human |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4×512<br>8×256<br>16×128<br>32×64 | 995.00<br>1185.5<br>374.31<br>360.88 | 2.75<br>5.25<br>5.38<br>4.94 | 2162.00<br>1117.38<br>545.50<br>273.47 | 1.25<br>0.38<br>0.63<br>0.72 | 7.50<br>4.88<br>5.13<br>6.50 | 3348<br>3131<br>1616<br>1328 |",1]
["| Block | Timeperformance[s] |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total |\n| 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |","| Stage | #Sample | #Blocks | llb | lub | Runtime |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 3 | 19324936602 | 8659772341291 | 1hr1m |\n| 2 | 10 | 6 | 4509832663 | 62270235928 | 3m29sec |\n| 3 | 5 | 3 | 2799147462 | 81977150923 | 33m51sec |\n| 4 | 5 | 2 | 397155 | 1249483 | 53m40sec |\n| 5 | 5 | 2 | 140973 | 236873 | 1hr6m |",0]
["| Block | Timeperformance[s] |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total |\n| 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |","|  | Pend./job | St.-in/job | Exec./job | St.-out/job | Overh./job | Human |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4×512<br>8×256<br>16×128<br>32×64 | 995.00<br>1185.5<br>374.31<br>360.88 | 2.75<br>5.25<br>5.38<br>4.94 | 2162.00<br>1117.38<br>545.50<br>273.47 | 1.25<br>0.38<br>0.63<br>0.72 | 7.50<br>4.88<br>5.13<br>6.50 | 3348<br>3131<br>1616<br>1328 |",1]
["| Block | Timeperformance[s] |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Jobs×data-points | Pending | Stage-in | Execution | Stage-out | Overhead | Total |\n| 4×512<br>8×256<br>16×128<br>32×64 | 3980<br>9484<br>5989<br>11548 | 11<br>42<br>86<br>158 | 8648<br>8939<br>8728<br>8751 | 5<br>3<br>10<br>23 | 30<br>39<br>82<br>208 | 12674<br>18507<br>14895<br>20688 |","| 3 | 5 | 3 | 2799147462 | 81977150923 | 33m51sec |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 5 | 2 | 397155 | 1249483 | 53m40sec |\n| 5 | 5 | 2 | 140973 | 236873 | 1hr6m |",0]
["| pros | cons |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ps | Rs | Pe | Re | Ps | Rs | Pe | Re |\n| 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 |\n| 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 |\n| 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 |","| 52.7 | 69.4 | 78.5 | 8.6 | 30.9 | 43.8 | 61.3 | 3.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 26.0 | 50.8 | 59.6 | 38.9 | 26.2 | 40.8 | 56.3 | 25.0 |",1]
["| pros | cons |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ps | Rs | Pe | Re | Ps | Rs | Pe | Re |\n| 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 |\n| 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 |\n| 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 |","| Numberofproposals | 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SS | 59.00 | 64.60 | 70.20 | 74.20 | 77.50 | 78.40 |\n| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 |\n| MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 |\n| SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 |\n| FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |",0]
["| pros | cons |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ps | Rs | Pe | Re | Ps | Rs | Pe | Re |","| 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 |\n| 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 |\n| 52.7 | 69.4 | 78.5 | 8.6 | 30.9 | 43.8 | 61.3 | 3.5 |\n| 26.0 | 50.8 | 59.6 | 38.9 | 26.2 | 40.8 | 56.3 | 25.0 |",1]
["| pros | cons |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ps | Rs | Pe | Re | Ps | Rs | Pe | Re |","| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 |\n| SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 |\n| FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |",0]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 |\n| CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 |\n| CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 |","| CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |",1]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 |\n| CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 |\n| CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 |","| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 |\n| CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 |\n| CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 |\n| CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 |\n| CSP+SVM(8∼21Hz) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(1∼7Hz) | 66.43 | 65.00 | 62.14 | 65.00 | 64.29 | 66.43 | 66.43 | 66.43 | 65.71 | 65.71 |\n| CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 |\n| CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 |\n| CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 |\n| CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |",0]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 |\n| CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 |","| CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 |\n| CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 |\n| CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |",1]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 |\n| CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 |","| CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 |\n| CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 |\n| CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |",0]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±429.539s |  |\n| 2threads | ±224.99s | 1.9 |\n| 8threads | ±93.8716s | 4.6 |\n| 16threads | ±98.3057s | 4.3 |\n| 32threads | ±95.8294s | 4.5 |\n| CUDA | ±98.71s | 4.4 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |\n| 1thread | ±665.74s |  |\n| 2threads | ±355.144s | 1.9 |\n| 8threads | ±158.912s | 4.2 |","| 16threads | ±121.667s | 5.5 |\n| --- | --- | --- |\n| 32threads | ±122.121s | 5.5 |\n| CUDA | ±107.214s | 6.2 |",1]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±429.539s |  |\n| 2threads | ±224.99s | 1.9 |\n| 8threads | ±93.8716s | 4.6 |\n| 16threads | ±98.3057s | 4.3 |\n| 32threads | ±95.8294s | 4.5 |\n| CUDA | ±98.71s | 4.4 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |\n| 1thread | ±665.74s |  |\n| 2threads | ±355.144s | 1.9 |\n| 8threads | ±158.912s | 4.2 |","| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±528.538s |  |\n| 2threads | ±309.707s | 1.7 |\n| 8threads | ±111.968s | 4.7 |\n| 16threads | ±98.1266s | 5.3 |\n| 32threads | ±99.8027s | 5.2 |\n| CUDA | ±168.109s | 3.1 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |\n| 1thread | ±1252.35s |  |\n| 2threads | ±540.973s | 2.3 |\n| 8threads | ±181.501s | 6.9 |\n| 16threads | ±131.881s | 9.5 |\n| 32threads | ±131.661s | 9.5 |\n| CUDA | ±84.7718s | 14.8 |",0]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±429.539s |  |\n| 2threads | ±224.99s | 1.9 |\n| 8threads | ±93.8716s | 4.6 |\n| 16threads | ±98.3057s | 4.3 |\n| 32threads | ±95.8294s | 4.5 |\n| CUDA | ±98.71s | 4.4 |\n| OS:Windows8.1prox64 |  |  |","| Test | Executiontime | Speedup |\n| --- | --- | --- |\n| 1thread | ±665.74s |  |\n| 2threads | ±355.144s | 1.9 |\n| 8threads | ±158.912s | 4.2 |\n| 16threads | ±121.667s | 5.5 |\n| 32threads | ±122.121s | 5.5 |\n| CUDA | ±107.214s | 6.2 |",1]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±429.539s |  |\n| 2threads | ±224.99s | 1.9 |\n| 8threads | ±93.8716s | 4.6 |\n| 16threads | ±98.3057s | 4.3 |\n| 32threads | ±95.8294s | 4.5 |\n| CUDA | ±98.71s | 4.4 |\n| OS:Windows8.1prox64 |  |  |","| 32threads | ±131.661s | 9.5 |\n| --- | --- | --- |\n| CUDA | ±84.7718s | 14.8 |",0]
["| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units |\n| --- |\n| Type2:Sentencecomplexity<br>#ofclauses/#ofsentences |\n| Type3:Subordination<br>#ofclauses/#ofT-units<br>#ofdependentclauses/#ofclauses<br>#ofdependentclauses/#ofT-units |","| Type4:Coordination<br>#ofcoordinatephrases/#ofclauses<br>#ofcoordinatephrases/#ofT-units |\n| --- |\n| Type5:Particularstructures<br>#ofverbphrases/#ofT-units |",1]
["| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units |\n| --- |\n| Type2:Sentencecomplexity<br>#ofclauses/#ofsentences |\n| Type3:Subordination<br>#ofclauses/#ofT-units<br>#ofdependentclauses/#ofclauses<br>#ofdependentclauses/#ofT-units |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units |\n| --- |\n| Type2:Sentencecomplexity<br>#ofclauses/#ofsentences |","| Type3:Subordination<br>#ofclauses/#ofT-units<br>#ofdependentclauses/#ofclauses<br>#ofdependentclauses/#ofT-units |\n| --- |\n| Type4:Coordination<br>#ofcoordinatephrases/#ofclauses<br>#ofcoordinatephrases/#ofT-units |\n| Type5:Particularstructures<br>#ofverbphrases/#ofT-units |",1]
["| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units |\n| --- |\n| Type2:Sentencecomplexity<br>#ofclauses/#ofsentences |","| 6 | NE | Whetherwisanamedentity(NE) |\n| --- | --- | --- |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["|  | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 |\n| m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |\n| m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 |","| m=4 | 0.016 | 0.003 | 0.003 | 0.997 | 1.001 | 1.001 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=5 | 0.775 | 0.002 | 0.003 | 0.994 | 0.999 | 0.998 |\n| m=6 | 0.979 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=7 | 0.996 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=8 | 0.998 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=9 | 1.001 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=10 | 0.999 | 0.002 | 0.003 | 0.995 | 1.001 | 1.001 |",1]
["|  | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 |\n| m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |\n| m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 |","| m | k | N | mmˆ |\n| --- | --- | --- | --- |\n| [-0.43290.32340.8415] | 12 | 100 | 0.9994 |\n| [-0.43290.32340.8415] | 12 | 1000 | 1.000 |\n| [-0.43290.32340.8415] | 12 | 2000 | 1.000 |\n| [-0.43290.32340.8415] | 4 | 1000 | 0.9998 |\n| [-0.416100.9093] | 8 | 100 | 0.9995 |\n| [-0.416100.9093] | 8 | 1000 | 0.9999 |\n| [-0.416100.9093] | 15 | 100 | 0.9997 |\n| [-0.416100.9093] | 15 | 1000 | 1.0000 |\n| [-0.41610.90930] | 8 | 100 | 0.9994 |\n| [-0.41610.90930] | 8 | 1000 | 0.9999 |\n| [-0.41610.90930] | 15 | 100 | 0.9999 |\n| [-0.41610.90930] | 15 | 1000 | 1.000 |",0]
["|  | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 |\n| m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |","| m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=4 | 0.016 | 0.003 | 0.003 | 0.997 | 1.001 | 1.001 |\n| m=5 | 0.775 | 0.002 | 0.003 | 0.994 | 0.999 | 0.998 |\n| m=6 | 0.979 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=7 | 0.996 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=8 | 0.998 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=9 | 1.001 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=10 | 0.999 | 0.002 | 0.003 | 0.995 | 1.001 | 1.001 |",1]
["|  | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 |\n| m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |","| [-0.416100.9093] | 8 | 1000 | 0.9999 |\n| --- | --- | --- | --- |\n| [-0.416100.9093] | 15 | 100 | 0.9997 |\n| [-0.416100.9093] | 15 | 1000 | 1.0000 |\n| [-0.41610.90930] | 8 | 100 | 0.9994 |\n| [-0.41610.90930] | 8 | 1000 | 0.9999 |\n| [-0.41610.90930] | 15 | 100 | 0.9999 |\n| [-0.41610.90930] | 15 | 1000 | 1.000 |",0]
["| # | Discrimination | Value |\n| --- | --- | --- |\n| 1 | Block1 | 1,300 |\n| 2 | Block2 | 1,365 |\n| 3 | Block3 | 3,451 |\n| 4 | Block4 | 3,571 |\n| 5 | Total | 9,687 |\n| 6 | ASesinroutingtable(12Fev2018) | 59,789 |","| 7 | IRRobjectsnumber(ARIN) | 10 |\n| --- | --- | --- |\n| 8 | NumberofprotocolsinTCP/IP | 51 |",1]
["| # | Discrimination | Value |\n| --- | --- | --- |\n| 1 | Block1 | 1,300 |\n| 2 | Block2 | 1,365 |\n| 3 | Block3 | 3,451 |\n| 4 | Block4 | 3,571 |\n| 5 | Total | 9,687 |\n| 6 | ASesinroutingtable(12Fev2018) | 59,789 |","| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| # | Discrimination | Value |\n| --- | --- | --- |\n| 1 | Block1 | 1,300 |\n| 2 | Block2 | 1,365 |\n| 3 | Block3 | 3,451 |\n| 4 | Block4 | 3,571 |\n| 5 | Total | 9,687 |","| 6 | ASesinroutingtable(12Fev2018) | 59,789 |\n| --- | --- | --- |\n| 7 | IRRobjectsnumber(ARIN) | 10 |\n| 8 | NumberofprotocolsinTCP/IP | 51 |",1]
["| # | Discrimination | Value |\n| --- | --- | --- |\n| 1 | Block1 | 1,300 |\n| 2 | Block2 | 1,365 |\n| 3 | Block3 | 3,451 |\n| 4 | Block4 | 3,571 |\n| 5 | Total | 9,687 |","| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| --- | --- | --- | --- | --- | --- |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",0]
["| Notation | Description |\n| --- | --- |\n| puv | theprobabilityofedgeeu,v |\n| p(u,v)r | thereachabilityprobabilityfromutov |\n| p(u,v)i | theipathfromutov |","| ruv | thesumofthepathsfromutov |\n| --- | --- |\n| wu | theweightofnodeu |\n| IVT(u) | theinﬂuencevaluetreeofu |\n| WDT(u) | theweightdiscounttreeofu |\n| Vu | thevalueofnodeu |\n| Wu | thevaluegeneratedbyuinu’sneighborhood |\n| Ou | thesetofsuccessorsofu |\n| Iu | thesetofpredecessorsofu |\n| θ | boundparameterofBWRalgorithm |\n| α | stepswhichinﬂuencecanpropagate |\n| β | performanceboundofBWR |",1]
["| Notation | Description |\n| --- | --- |\n| puv | theprobabilityofedgeeu,v |\n| p(u,v)r | thereachabilityprobabilityfromutov |\n| p(u,v)i | theipathfromutov |","| Symbol | Meaning |\n| --- | --- |\n| V | thesetofnodes |\n| E | thesetofedges |\n| dc | thesumofthedegreesofnodesincommunityc |\n| W | thesumofalledgeweights |\n| Wc,cij | thesumofweightsofedgesconnectingcommunitiescandcij |\n| W | thesumofweightsofedgesinsidecommunityc |\n| W | thesumofweightsofedgeswithoneendpointincommunityc |\n| Wc | theweightofcommunityc,equalto2W+W |\n| C | apartitionofthegraph,formedbyasetofdisjointcommunities |\n| ∆Qc,cij | themodulairychangecausedbyjoiningcommunitiescandcij |\n| we | theweightofedgee |\n| xe | thetopologicalfeaturevectorofedgee |\n| h() | thelossfunction |",0]
["| Notation | Description |\n| --- | --- |\n| puv | theprobabilityofedgeeu,v |\n| p(u,v)r | thereachabilityprobabilityfromutov |\n| p(u,v)i | theipathfromutov |\n| ruv | thesumofthepathsfromutov |\n| wu | theweightofnodeu |\n| IVT(u) | theinﬂuencevaluetreeofu |\n| WDT(u) | theweightdiscounttreeofu |\n| Vu | thevalueofnodeu |\n| Wu | thevaluegeneratedbyuinu’sneighborhood |","| Ou | thesetofsuccessorsofu |\n| --- | --- |\n| Iu | thesetofpredecessorsofu |\n| θ | boundparameterofBWRalgorithm |\n| α | stepswhichinﬂuencecanpropagate |\n| β | performanceboundofBWR |",1]
["| Notation | Description |\n| --- | --- |\n| puv | theprobabilityofedgeeu,v |\n| p(u,v)r | thereachabilityprobabilityfromutov |\n| p(u,v)i | theipathfromutov |\n| ruv | thesumofthepathsfromutov |\n| wu | theweightofnodeu |\n| IVT(u) | theinﬂuencevaluetreeofu |\n| WDT(u) | theweightdiscounttreeofu |\n| Vu | thevalueofnodeu |\n| Wu | thevaluegeneratedbyuinu’sneighborhood |","| we | theweightofedgee |\n| --- | --- |\n| xe | thetopologicalfeaturevectorofedgee |\n| h() | thelossfunction |",0]
["| Parameter | Meaning |\n| --- | --- |\n| α | balancetheeﬀectsofprecisionandrecall |","| wf | diﬀerentiatetheeﬀectsoffunctionwordandcontentword |\n| --- | --- |\n| wexact | matchweightformatchmoduletypeexact |\n| wstem | matchweightformatchmoduletypestem |\n| wsynonym | matchweightformatchmoduletypesynonym |\n| wparaphrase | matchweightformatchmoduletypeparaphrase |",1]
["| Parameter | Meaning |\n| --- | --- |\n| α | balancetheeﬀectsofprecisionandrecall |","| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 15-18 | 8,936 | 211,727 |\n| Develop | N/A | N/A | N/A |\n| Test | 20 | 2,012 | 47,377 |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",0]
["| Parameter | Meaning |\n| --- | --- |\n| α | balancetheeﬀectsofprecisionandrecall |\n| wf | diﬀerentiatetheeﬀectsoffunctionwordandcontentword |","| wexact | matchweightformatchmoduletypeexact |\n| --- | --- |\n| wstem | matchweightformatchmoduletypestem |\n| wsynonym | matchweightformatchmoduletypesynonym |\n| wparaphrase | matchweightformatchmoduletypeparaphrase |",1]
["| Parameter | Meaning |\n| --- | --- |\n| α | balancetheeﬀectsofprecisionandrecall |\n| wf | diﬀerentiatetheeﬀectsoffunctionwordandcontentword |","| Develop | N/A | N/A | N/A |\n| --- | --- | --- | --- |\n| Test | 20 | 2,012 | 47,377 |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",0]
["| copies | RBs | inferencetime(sec) | SNR(dB),independent | SSIM,independent |\n| --- | --- | --- | --- | --- |\n| 10 | 1 | 0.04 | 27.03 | 0.923 |\n| 5 | 2 | 0.10 | 27.01 | 0.9258 |","| 2 | 5 | 0.12 | 28.14 | 0.944 |\n| --- | --- | --- | --- | --- |\n| 1 | 10 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | 1.16 | 22.51 | 0.86 |",1]
["| copies | RBs | inferencetime(sec) | SNR(dB),independent | SSIM,independent |\n| --- | --- | --- | --- | --- |\n| 10 | 1 | 0.04 | 27.03 | 0.923 |\n| 5 | 2 | 0.10 | 27.01 | 0.9258 |","| iterations | RBs | traintime(hours) | inferencetime(sec) | SNR(dB) | SSIM |\n| --- | --- | --- | --- | --- | --- |\n| 10 | 1 | 2 | 0.04 | 26.07 | 0.9117 |\n| 5 | 2 | 4 | 0.10 | 26.94 | 0.9221 |\n| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |\n| deepResNet | 10 | 12 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | n/a | 1.16 | 22.51 | 0.86 |",0]
["| copies | RBs | inferencetime(sec) | SNR(dB),independent | SSIM,independent |\n| --- | --- | --- | --- | --- |\n| 10 | 1 | 0.04 | 27.03 | 0.923 |","| 5 | 2 | 0.10 | 27.01 | 0.9258 |\n| --- | --- | --- | --- | --- |\n| 2 | 5 | 0.12 | 28.14 | 0.944 |\n| 1 | 10 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | 1.16 | 22.51 | 0.86 |",1]
["| copies | RBs | inferencetime(sec) | SNR(dB),independent | SSIM,independent |\n| --- | --- | --- | --- | --- |\n| 10 | 1 | 0.04 | 27.03 | 0.923 |","| 2 | 5 | 8 | 0.12 | 26.55 | 0.9194 |\n| --- | --- | --- | --- | --- | --- |\n| deepResNet | 10 | 12 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | n/a | 1.16 | 22.51 | 0.86 |",0]
["|  | DeepVentricle | FastVentricle |\n| --- | --- | --- |\n| AverageRAVE | 0.100 | 0.098 |","| MedianRAVE | 0.057 | 0.065 |\n| --- | --- | --- |\n| InferenceGPUtimepersample(msec) | 31 | 7 |\n| InitializationGPUtime(sec) | 1.3 | 13.3 |\n| Numberofparameters | 19,249,059 | 755,529 |\n| GPUmemoryrequiredforinference(MB) | 1,800 | 270 |\n| Sizeoftheweightﬁle(MB) | 220 | 10 |",1]
["|  | DeepVentricle | FastVentricle |\n| --- | --- | --- |\n| AverageRAVE | 0.100 | 0.098 |","| Dataset | F1score | accuracy | precision | recall |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| before | after | before | after | before | after | before | after |  |\n| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |\n| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 |\n| Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 |\n| Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |",0]
["|  | DeepVentricle | FastVentricle |\n| --- | --- | --- |\n| AverageRAVE | 0.100 | 0.098 |\n| MedianRAVE | 0.057 | 0.065 |\n| InferenceGPUtimepersample(msec) | 31 | 7 |\n| InitializationGPUtime(sec) | 1.3 | 13.3 |","| Numberofparameters | 19,249,059 | 755,529 |\n| --- | --- | --- |\n| GPUmemoryrequiredforinference(MB) | 1,800 | 270 |\n| Sizeoftheweightﬁle(MB) | 220 | 10 |",1]
["|  | DeepVentricle | FastVentricle |\n| --- | --- | --- |\n| AverageRAVE | 0.100 | 0.098 |\n| MedianRAVE | 0.057 | 0.065 |\n| InferenceGPUtimepersample(msec) | 31 | 7 |\n| InitializationGPUtime(sec) | 1.3 | 13.3 |","| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 |\n| Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 |\n| Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |",0]
["| 2009 |  |  |\n| --- | --- | --- |\n|  | Mean | Std.Dev. |\n| Identix | 8.27 | 4.65 |\n| Crossmaatch | 15.59 | 5.60 |\n| Biometrika | 32.59 | 9.64 |\n| 2011 |  |  |\n|  | Mean | Std.Dev. |\n| Biometrika | 31.30 | 10.25 |\n| ItalData | 29.50 | 9.42 |\n| Sagem | 16.70 | 5.33 |\n| DigitalPersona | 23.47 | 13.70 |\n| 2013 |  |  |\n|  | Mean | Std.Dev. |","| Biometrika | 7.32 | 8.80 |\n| --- | --- | --- |\n| Italdata | 12.25 | 18.08 |\n| Swipe | 16.67 | 15.30 |\n| 2015 |  |  |\n|  | Mean | Std.Dev. |\n| GreenBit | 11.47 | 7.10 |\n| Biometrika | 15.81 | 7.12 |\n| DigitalPersona | 14.89 | 13.72 |\n| Crossmatch | 14.65 | 10.28 |",1]
["| 2009 |  |  |\n| --- | --- | --- |\n|  | Mean | Std.Dev. |\n| Identix | 8.27 | 4.65 |\n| Crossmaatch | 15.59 | 5.60 |\n| Biometrika | 32.59 | 9.64 |\n| 2011 |  |  |\n|  | Mean | Std.Dev. |\n| Biometrika | 31.30 | 10.25 |\n| ItalData | 29.50 | 9.42 |\n| Sagem | 16.70 | 5.33 |\n| DigitalPersona | 23.47 | 13.70 |\n| 2013 |  |  |\n|  | Mean | Std.Dev. |","|  | Kosarak | Retail | Q148 | Nasa |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 284170 |\n| Distinctitems | 41270 | 16470 | 11824 | 2116 |\n| Min | 1 | 0 | 0 | 0 |\n| Max | 41270 | 16469 | 149464496 | 28474 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |\n| Median | 640 | 1564 | 63 | 120 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.5 |",0]
["| 2009 |  |  |\n| --- | --- | --- |\n|  | Mean | Std.Dev. |\n| Identix | 8.27 | 4.65 |\n| Crossmaatch | 15.59 | 5.60 |\n| Biometrika | 32.59 | 9.64 |\n| 2011 |  |  |\n|  | Mean | Std.Dev. |\n| Biometrika | 31.30 | 10.25 |","| ItalData | 29.50 | 9.42 |\n| --- | --- | --- |\n| Sagem | 16.70 | 5.33 |\n| DigitalPersona | 23.47 | 13.70 |\n| 2013 |  |  |\n|  | Mean | Std.Dev. |\n| Biometrika | 7.32 | 8.80 |\n| Italdata | 12.25 | 18.08 |\n| Swipe | 16.67 | 15.30 |\n| 2015 |  |  |\n|  | Mean | Std.Dev. |\n| GreenBit | 11.47 | 7.10 |\n| Biometrika | 15.81 | 7.12 |\n| DigitalPersona | 14.89 | 13.72 |\n| Crossmatch | 14.65 | 10.28 |",1]
["| 2009 |  |  |\n| --- | --- | --- |\n|  | Mean | Std.Dev. |\n| Identix | 8.27 | 4.65 |\n| Crossmaatch | 15.59 | 5.60 |\n| Biometrika | 32.59 | 9.64 |\n| 2011 |  |  |\n|  | Mean | Std.Dev. |\n| Biometrika | 31.30 | 10.25 |","| Max | 41270 | 16469 | 149464496 | 28474 |\n| --- | --- | --- | --- | --- |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |\n| Median | 640 | 1564 | 63 | 120 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.5 |",0]
["| Number | Operation | Oldvalue | EIP150value |\n| --- | --- | --- | --- |\n|  | EXTCODESIZE | 20 | 700 |\n|  | EXTCODECOPY | 20 | 700 |\n|  | BALANCE | 20 | 400 |","|  | SLOAD | 50 | 200 |\n| --- | --- | --- | --- |\n|  | CALL | 40 | 700 |\n|  | SUICIDE(doesnotcreateaccount) | 0 | 5,000 |\n|  | SUICIDE(createsanaccount) | 0 | 25,000 |",1]
["| Number | Operation | Oldvalue | EIP150value |\n| --- | --- | --- | --- |\n|  | EXTCODESIZE | 20 | 700 |\n|  | EXTCODECOPY | 20 | 700 |\n|  | BALANCE | 20 | 400 |","| Parameter | Valuerange | Bits |\n| --- | --- | --- |\n| Null-moveuse | 0–1 | 1 |\n| Null-movereduction | 0–7 | 3 |\n| Null-moveuseadaptivity | 0–1 | 1 |\n| Null-moveadaptivitydepth | 0–7 | 3 |\n| Futilitydepth | 0–3 | 2 |\n| Futilitythresholddepth-1 | 0–1023 | 10 |\n| Futilitythresholddepth-2 | 0–1023 | 10 |\n| Futilitythresholddepth-3 | 0–1023 | 10 |\n| Multi-cutuse | 0–1 | 1 |\n| Multi-cutreduction | 0–7 | 3 |\n| Multi-cutdepth | 0–7 | 3 |\n| Multi-cutmovenum | 0–31 | 5 |\n| Multi-cutcutnum | 0–7 | 3 |\n| Checkextension | 0–4 | 3 |\n| One-replyextension | 0–4 | 3 |\n| Recaptureextension | 0–4 | 3 |\n| Passedpawnextension | 0–4 | 3 |\n| Matethreatextension | 0–4 | 3 |\n| Totalchromosomelength |  | 70 |",0]
["| Number | Operation | Oldvalue | EIP150value |\n| --- | --- | --- | --- |\n|  | EXTCODESIZE | 20 | 700 |\n|  | EXTCODECOPY | 20 | 700 |\n|  | BALANCE | 20 | 400 |\n|  | SLOAD | 50 | 200 |","|  | CALL | 40 | 700 |\n| --- | --- | --- | --- |\n|  | SUICIDE(doesnotcreateaccount) | 0 | 5,000 |\n|  | SUICIDE(createsanaccount) | 0 | 25,000 |",1]
["| Number | Operation | Oldvalue | EIP150value |\n| --- | --- | --- | --- |\n|  | EXTCODESIZE | 20 | 700 |\n|  | EXTCODECOPY | 20 | 700 |\n|  | BALANCE | 20 | 400 |\n|  | SLOAD | 50 | 200 |","| Matethreatextension | 0–4 | 3 |\n| --- | --- | --- |\n| Totalchromosomelength |  | 70 |",0]
["| SN | Dataset-Name | WP | Glove-300D | PCA-150D | P+PCA-150D | PCA-150D+P |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | MTurk-771 | 771 | 65.01 | 52.47 | 65.59 | 63.86 |\n| 2 | WS-353-SIM | 203 | 66.38 | 52.69 | 70.03 | 70.87 |\n| 3 | MTurk-287 | 287 | 63.32 | 56.56 | 63.38 | 64.62 |\n| 4 | VERB-143 | 144 | 30.51 | 28.52 | 39.04 | 40.14 |\n| 5 | WS-353-ALL | 353 | 60.54 | 46.52 | 66.23 | 66.85 |\n| 6 | RW-Stanford | 2034 | 41.18 | 27.46 | 43.17 | 40.79 |\n| 7 | MEN-TR-3K | 3000 | 73.75 | 63.35 | 75.34 | 75.37 |","| 8 | RG-65 | 65 | 76.62 | 71.71 | 73.62 | 74.27 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | MC-30 | 30 | 70.26 | 70.03 | 69.21 | 72.35 |\n| 10 | SIMLEX-999 | 999 | 37.05 | 27.21 | 36.71 | 33.81 |\n| 11 | WS-353-REL | 252 | 57.26 | 41.82 | 62.02 | 60.50 |\n| 12 | YP-130 | 130 | 56.13 | 36.72 | 55.42 | 50.20 |",1]
["| SN | Dataset-Name | WP | Glove-300D | PCA-150D | P+PCA-150D | PCA-150D+P |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | MTurk-771 | 771 | 65.01 | 52.47 | 65.59 | 63.86 |\n| 2 | WS-353-SIM | 203 | 66.38 | 52.69 | 70.03 | 70.87 |\n| 3 | MTurk-287 | 287 | 63.32 | 56.56 | 63.38 | 64.62 |\n| 4 | VERB-143 | 144 | 30.51 | 28.52 | 39.04 | 40.14 |\n| 5 | WS-353-ALL | 353 | 60.54 | 46.52 | 66.23 | 66.85 |\n| 6 | RW-Stanford | 2034 | 41.18 | 27.46 | 43.17 | 40.79 |\n| 7 | MEN-TR-3K | 3000 | 73.75 | 63.35 | 75.34 | 75.37 |","| Dataset | W2V | GLOVE | p−val. |\n| --- | --- | --- | --- |\n| WS353 | 0.7362 | 0.629 | 2e |\n| WS353-SIM | 0.7805 | 0.6979 | 0.0 |\n| WS353-REL | 0.6814 | 0.5706 | 0.2123 |\n| MC-30 | 0.8221 | 0.7773 | 0.0001 |\n| RG-65 | 0.8348 | 0.8117 | 0.3053 |\n| RW | 0.4819 | 0.4144 | 0.2426 |\n| MEN | 0.796 | 0.7362 | 0.0021 |\n| MTurk-287 | 0.671 | 0.6475 | 0.2076 |\n| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |\n| YP-130 | 0.504 | 0.5315 | 0.0 |\n| SimLex999 | 0.4621 | 0.3725 | 0.0015 |\n| Verb−143 | 0.4479 | 0.3275 | 0.0431 |",0]
["| SN | Dataset-Name | WP | Glove-300D | PCA-150D | P+PCA-150D | PCA-150D+P |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | MTurk-771 | 771 | 65.01 | 52.47 | 65.59 | 63.86 |\n| 2 | WS-353-SIM | 203 | 66.38 | 52.69 | 70.03 | 70.87 |","| 3 | MTurk-287 | 287 | 63.32 | 56.56 | 63.38 | 64.62 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | VERB-143 | 144 | 30.51 | 28.52 | 39.04 | 40.14 |\n| 5 | WS-353-ALL | 353 | 60.54 | 46.52 | 66.23 | 66.85 |\n| 6 | RW-Stanford | 2034 | 41.18 | 27.46 | 43.17 | 40.79 |\n| 7 | MEN-TR-3K | 3000 | 73.75 | 63.35 | 75.34 | 75.37 |\n| 8 | RG-65 | 65 | 76.62 | 71.71 | 73.62 | 74.27 |\n| 9 | MC-30 | 30 | 70.26 | 70.03 | 69.21 | 72.35 |\n| 10 | SIMLEX-999 | 999 | 37.05 | 27.21 | 36.71 | 33.81 |\n| 11 | WS-353-REL | 252 | 57.26 | 41.82 | 62.02 | 60.50 |\n| 12 | YP-130 | 130 | 56.13 | 36.72 | 55.42 | 50.20 |",1]
["| SN | Dataset-Name | WP | Glove-300D | PCA-150D | P+PCA-150D | PCA-150D+P |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | MTurk-771 | 771 | 65.01 | 52.47 | 65.59 | 63.86 |\n| 2 | WS-353-SIM | 203 | 66.38 | 52.69 | 70.03 | 70.87 |","| WS353-SIM | 0.7805 | 0.6979 | 0.0 |\n| --- | --- | --- | --- |\n| WS353-REL | 0.6814 | 0.5706 | 0.2123 |\n| MC-30 | 0.8221 | 0.7773 | 0.0001 |\n| RG-65 | 0.8348 | 0.8117 | 0.3053 |\n| RW | 0.4819 | 0.4144 | 0.2426 |\n| MEN | 0.796 | 0.7362 | 0.0021 |\n| MTurk-287 | 0.671 | 0.6475 | 0.2076 |\n| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |\n| YP-130 | 0.504 | 0.5315 | 0.0 |\n| SimLex999 | 0.4621 | 0.3725 | 0.0015 |\n| Verb−143 | 0.4479 | 0.3275 | 0.0431 |",0]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| N | M | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 0.8 | 1.50·10 | 3.33·10 | 1.5·10 | 3.79·10 |","| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 |\n| 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 |\n| 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 |\n| 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |",1]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| N | M | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 0.8 | 1.50·10 | 3.33·10 | 1.5·10 | 3.79·10 |","| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |\n| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |\n| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |\n| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",0]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| N | M | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 0.8 | 1.50·10 | 3.33·10 | 1.5·10 | 3.79·10 |\n| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 |","| 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 |\n| 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 |\n| 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |",1]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| N | M | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 0.8 | 1.50·10 | 3.33·10 | 1.5·10 | 3.79·10 |\n| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 |","| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",0]
["| NetworkTypeRef. | \\|V\\|\\|E\\|\\|C(G)\\|deg |\n| --- | --- |\n| facebook<br>eva<br>social<br>slashdot<br>loans<br>twitter | 3621431032.4<br>403988234143.7<br>44754664152.1<br>77360905468113.1<br>8917133949792935074.69<br>4650178347977553.59 |\n| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |\n| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |\n| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |\n| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |","| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |\n| --- | --- |\n| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |\n| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 |",1]
["| NetworkTypeRef. | \\|V\\|\\|E\\|\\|C(G)\\|deg |\n| --- | --- |\n| facebook<br>eva<br>social<br>slashdot<br>loans<br>twitter | 3621431032.4<br>403988234143.7<br>44754664152.1<br>77360905468113.1<br>8917133949792935074.69<br>4650178347977553.59 |\n| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |\n| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |\n| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |\n| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |","| Network | diam(G)diam(T)3 | kkmaxavg |\n| --- | --- | --- |\n| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |\n| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |\n| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |\n| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |\n| Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |\n| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 |\n| Amazon-2 | 4747<br>2022 | 71.205<br>41.274 |\n| openFlight<br>POWER-Grid<br>road-pa | 6262<br>1314<br>4646<br>794803 | 80.135<br>20.704<br>41.409<br>4610.64 |",0]
["| NetworkTypeRef. | \\|V\\|\\|E\\|\\|C(G)\\|deg |\n| --- | --- |\n| facebook<br>eva<br>social<br>slashdot<br>loans<br>twitter | 3621431032.4<br>403988234143.7<br>44754664152.1<br>77360905468113.1<br>8917133949792935074.69<br>4650178347977553.59 |\n| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |\n| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |\n| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |","| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |\n| --- | --- |\n| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |\n| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |\n| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 |",1]
["| NetworkTypeRef. | \\|V\\|\\|E\\|\\|C(G)\\|deg |\n| --- | --- |\n| facebook<br>eva<br>social<br>slashdot<br>loans<br>twitter | 3621431032.4<br>403988234143.7<br>44754664152.1<br>77360905468113.1<br>8917133949792935074.69<br>4650178347977553.59 |\n| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |\n| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |\n| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |","| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |\n| --- | --- | --- |\n| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |\n| Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |\n| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 |\n| Amazon-2 | 4747<br>2022 | 71.205<br>41.274 |\n| openFlight<br>POWER-Grid<br>road-pa | 6262<br>1314<br>4646<br>794803 | 80.135<br>20.704<br>41.409<br>4610.64 |",0]
["|  | seen | unseen | overall |\n| --- | --- | --- | --- |\n| Ding’s | / | / | 82.4 |\n| baseline | 87.9 | 87.6 | 87.8 |\n| baseline+insertedfc6 | 91.6 | 91.0 | 91.4 |\n| baseline+insertedfc6+duallossonfc6 | 90.2 | 86.6 | 89.4 |","| baseline+insertedfc6+duallossonfc7 | 98.5 | 97.2 | 98.2 |\n| --- | --- | --- | --- |\n| baseline+insertedfc6+centerloss | 97.4 | 92.7 | 96.3 |",1]
["|  | seen | unseen | overall |\n| --- | --- | --- | --- |\n| Ding’s | / | / | 82.4 |\n| baseline | 87.9 | 87.6 | 87.8 |\n| baseline+insertedfc6 | 91.6 | 91.0 | 91.4 |\n| baseline+insertedfc6+duallossonfc6 | 90.2 | 86.6 | 89.4 |","| Notation |\n| --- |\n| C-Baseline-x |\n| C-ATCA-x |\n| S-Baseline-x |\n| S-Baseline-improved |\n| S-ATCA |",0]
["|  | seen | unseen | overall |\n| --- | --- | --- | --- |\n| Ding’s | / | / | 82.4 |\n| baseline | 87.9 | 87.6 | 87.8 |\n| baseline+insertedfc6 | 91.6 | 91.0 | 91.4 |","| baseline+insertedfc6+duallossonfc6 | 90.2 | 86.6 | 89.4 |\n| --- | --- | --- | --- |\n| baseline+insertedfc6+duallossonfc7 | 98.5 | 97.2 | 98.2 |\n| baseline+insertedfc6+centerloss | 97.4 | 92.7 | 96.3 |",1]
["|  | seen | unseen | overall |\n| --- | --- | --- | --- |\n| Ding’s | / | / | 82.4 |\n| baseline | 87.9 | 87.6 | 87.8 |\n| baseline+insertedfc6 | 91.6 | 91.0 | 91.4 |","| S-Baseline-x |\n| --- |\n| S-Baseline-improved |\n| S-ATCA |",0]
["|  | avg/total | Positive | Neutral |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Featurecombination | Prec | Recall | F1 | Prec | Recall | F1 | Prec | Recall | F1 | Prec |\n| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |","| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| +f1,f2,f4,f6,f7 | 0.59 | 0.46 | 0.49 | 0.30 | 0.43 | 0.35 | 0.26 | 0.54 | 0.35 | 0.76 |\n| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",1]
["|  | avg/total | Positive | Neutral |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Featurecombination | Prec | Recall | F1 | Prec | Recall | F1 | Prec | Recall | F1 | Prec |\n| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |","|  | precision | recall | F1-score | support |\n| --- | --- | --- | --- | --- |\n| negative | 0.63 | 0.50 | 0.56 | 493 |\n| neutral | 0.11 | 0.31 | 0.16 | 127 |\n| positive | 0.41 | 0.05 | 0.09 | 143 |\n| avg/total | 0.50 | 0.38 | 0.40 | 763 |",0]
["|  | avg/total | Positive | Neutral |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Featurecombination | Prec | Recall | F1 | Prec | Recall | F1 | Prec | Recall | F1 | Prec |\n| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |\n| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |","| +f1,f2,f4,f6,f7 | 0.59 | 0.46 | 0.49 | 0.30 | 0.43 | 0.35 | 0.26 | 0.54 | 0.35 | 0.76 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",1]
["|  | avg/total | Positive | Neutral |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Featurecombination | Prec | Recall | F1 | Prec | Recall | F1 | Prec | Recall | F1 | Prec |\n| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |\n| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |","| neutral | 0.11 | 0.31 | 0.16 | 127 |\n| --- | --- | --- | --- | --- |\n| positive | 0.41 | 0.05 | 0.09 | 143 |\n| avg/total | 0.50 | 0.38 | 0.40 | 763 |",0]
["| Dataset | t=0.5 | t=0.6 | t=0.7 | t=0.8 | t=0.9 |\n| --- | --- | --- | --- | --- | --- |\n| AllPairs+BayesLSH |  |  |  |  |  |\n| RCV1 | 97.97 | 98.18 | 98.47 | 99.08 | 99.36 |\n| WikiWords100K | 98.52 | 98.84 | 99.2 | 98.58 | 96.69 |\n| WikiWords500K | 97.54 | 97.82 | 98.21 | 98.16 | 96.66 |\n| WikiLinks | 97.45 | 98.04 | 98.46 | 98.68 | 99.18 |","| Orkut | 97.1 | 97.8 | 98.86 | 99.84 | 99.99 |\n| --- | --- | --- | --- | --- | --- |\n| Twitter | 97.7 | 96 | 96.88 | 97.33 | 98.77 |\n| AllPairs+BayesLSH-Lite |  |  |  |  |  |\n| RCV1 | 98.73 | 98.82 | 98.89 | 99.26 | 99.55 |\n| WikiWords100K | 98.88 | 99.31 | 99.62 | 99.69 | 99.5 |\n| WikiWords500K | 98.79 | 98.72 | 98.98 | 98.74 | 98.83 |\n| WikiLinks | 98.53 | 98.91 | 99.16 | 99.18 | 99.45 |\n| Orkut | 98.4 | 98.64 | 99.3 | 99.87 | 99.99 |\n| Twitter | 99.44 | 98.82 | 97.17 | 97.18 | 99.06 |",1]
["| Dataset | t=0.5 | t=0.6 | t=0.7 | t=0.8 | t=0.9 |\n| --- | --- | --- | --- | --- | --- |\n| AllPairs+BayesLSH |  |  |  |  |  |\n| RCV1 | 97.97 | 98.18 | 98.47 | 99.08 | 99.36 |\n| WikiWords100K | 98.52 | 98.84 | 99.2 | 98.58 | 96.69 |\n| WikiWords500K | 97.54 | 97.82 | 98.21 | 98.16 | 96.66 |\n| WikiLinks | 97.45 | 98.04 | 98.46 | 98.68 | 99.18 |","| Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mic | mac | mic | mac | mic | mac | mic | mac | mic |  |\n| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |\n| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |\n| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",0]
["| Dataset | t=0.5 | t=0.6 | t=0.7 | t=0.8 | t=0.9 |\n| --- | --- | --- | --- | --- | --- |\n| AllPairs+BayesLSH |  |  |  |  |  |","| RCV1 | 97.97 | 98.18 | 98.47 | 99.08 | 99.36 |\n| --- | --- | --- | --- | --- | --- |\n| WikiWords100K | 98.52 | 98.84 | 99.2 | 98.58 | 96.69 |\n| WikiWords500K | 97.54 | 97.82 | 98.21 | 98.16 | 96.66 |\n| WikiLinks | 97.45 | 98.04 | 98.46 | 98.68 | 99.18 |\n| Orkut | 97.1 | 97.8 | 98.86 | 99.84 | 99.99 |\n| Twitter | 97.7 | 96 | 96.88 | 97.33 | 98.77 |\n| AllPairs+BayesLSH-Lite |  |  |  |  |  |\n| RCV1 | 98.73 | 98.82 | 98.89 | 99.26 | 99.55 |\n| WikiWords100K | 98.88 | 99.31 | 99.62 | 99.69 | 99.5 |\n| WikiWords500K | 98.79 | 98.72 | 98.98 | 98.74 | 98.83 |\n| WikiLinks | 98.53 | 98.91 | 99.16 | 99.18 | 99.45 |\n| Orkut | 98.4 | 98.64 | 99.3 | 99.87 | 99.99 |\n| Twitter | 99.44 | 98.82 | 97.17 | 97.18 | 99.06 |",1]
["| Dataset | t=0.5 | t=0.6 | t=0.7 | t=0.8 | t=0.9 |\n| --- | --- | --- | --- | --- | --- |\n| AllPairs+BayesLSH |  |  |  |  |  |","| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",0]
["| IncP | Value |\n| --- | --- |\n| IncP(f,f)1j | 0.1921 |","| IncP(f,f)2j | 0.3217 |\n| --- | --- |\n| IncP(f,f)3j | 0.60317 |\n| IncP(f,f)4j | 0.1852 |",1]
["| IncP | Value |\n| --- | --- |\n| IncP(f,f)1j | 0.1921 |","| IncS | Value |\n| --- | --- |\n| IncS(f,f)1j | 0.0509 |\n| IncS(f,f)2j | 0.3038 |\n| IncS(f,f)3j | 0.0506 |\n| IncS(f,f)4j | 0.4653 |",0]
["| IncP | Value |\n| --- | --- |\n| IncP(f,f)1j | 0.1921 |","| IncP(f,f)2j | 0.3217 |\n| --- | --- |\n| IncP(f,f)3j | 0.60317 |\n| IncP(f,f)4j | 0.1852 |",1]
["| IncP | Value |\n| --- | --- |\n| IncP(f,f)1j | 0.1921 |","| IncS(f,f)2j | 0.3038 |\n| --- | --- |\n| IncS(f,f)3j | 0.0506 |\n| IncS(f,f)4j | 0.4653 |",0]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0 |  |  |  |  |\n| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |","| Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |\n| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |\n| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |\n| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |",1]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0 |  |  |  |  |\n| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |","| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0077 |  |  |  |  |\n| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |\n| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |\n| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |\n| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 |\n| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |\n| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |",0]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0 |  |  |  |  |\n| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |","| Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |\n| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |\n| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |\n| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |",1]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0 |  |  |  |  |\n| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |","| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |\n| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 |\n| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |\n| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |",0]
["| Age | 10<br>6<br>10×nPBMC | numberofindividuals |\n| --- | --- | --- |\n| 0 | 5.03 | 48 |\n| 1-4 | 4.93 | 53 |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |","| 20-24 | 3.88 | 26 |\n| --- | --- | --- |\n| 25-29 | 3.75 | 47 |\n| 30-34 | 3.61 | 65 |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",1]
["| Age | 10<br>6<br>10×nPBMC | numberofindividuals |\n| --- | --- | --- |\n| 0 | 5.03 | 48 |\n| 1-4 | 4.93 | 53 |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Age | 10<br>6<br>10×nPBMC | numberofindividuals |\n| --- | --- | --- |\n| 0 | 5.03 | 48 |\n| 1-4 | 4.93 | 53 |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |\n| 20-24 | 3.88 | 26 |\n| 25-29 | 3.75 | 47 |","| 30-34 | 3.61 | 65 |\n| --- | --- | --- |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",1]
["| Age | 10<br>6<br>10×nPBMC | numberofindividuals |\n| --- | --- | --- |\n| 0 | 5.03 | 48 |\n| 1-4 | 4.93 | 53 |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |\n| 20-24 | 3.88 | 26 |\n| 25-29 | 3.75 | 47 |","| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Rule | Inferencemodus | Deﬁnition |\n| --- | --- | --- |\n| 48. | identical |  |","| 49. | trivial,(??) |  |\n| --- | --- | --- |\n| 50. | (??),(??),Proposition?? | (??) |\n| 51. | (??) |  |\n| 52. | identical |  |\n| 53. | Proposition?? |  |\n| 54. | identical |  |\n| 55. | trivial |  |\n| 56. | (??),Proposition?? | (??) |\n| 57. | Proposition??withsupplementarycondition |  |\n| 58. | (??) | (??) |\n| 59. | ??withsupplementarycondition |  |\n| 65. | ??withsupplementarycondition |  |\n| 68. | ?? |  |",1]
["| Rule | Inferencemodus | Deﬁnition |\n| --- | --- | --- |\n| 48. | identical |  |","| Pattern | Total |\n| --- | --- |\n| (supertype)(diﬀerentiaquality) | 27 |\n| (supertype)(diﬀerentiaevent) | 13 |\n| (diﬀerentiaquality)(supertype) | 6 |\n| (supertype)(diﬀerentiaevent)(eventlocation) | 5 |\n| (supertype)(diﬀerentiaquality)(purpose) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaevent) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaquality) | 2 |\n| (supertype)OR(diﬀerentiaquality)+ | 2 |\n| (supertype)(originlocation) | 2 |\n| (diﬀerentiaquality)(supertype)(diﬀerentiaquality) | 2 |\n| OR(supertype)+(diﬀerentiaevent) | 2 |\n| (diﬀerentiaquality)+(supertype) | 2 |\n| (diﬀerentiaquality)+(supertype)(diﬀerentiaevent) | 2 |\n| Other | 29 |\n| Total | 100 |",0]
["| Rule | Inferencemodus | Deﬁnition |\n| --- | --- | --- |\n| 48. | identical |  |\n| 49. | trivial,(??) |  |\n| 50. | (??),(??),Proposition?? | (??) |\n| 51. | (??) |  |\n| 52. | identical |  |\n| 53. | Proposition?? |  |\n| 54. | identical |  |\n| 55. | trivial |  |\n| 56. | (??),Proposition?? | (??) |\n| 57. | Proposition??withsupplementarycondition |  |\n| 58. | (??) | (??) |","| 59. | ??withsupplementarycondition |  |\n| --- | --- | --- |\n| 65. | ??withsupplementarycondition |  |\n| 68. | ?? |  |",1]
["| Rule | Inferencemodus | Deﬁnition |\n| --- | --- | --- |\n| 48. | identical |  |\n| 49. | trivial,(??) |  |\n| 50. | (??),(??),Proposition?? | (??) |\n| 51. | (??) |  |\n| 52. | identical |  |\n| 53. | Proposition?? |  |\n| 54. | identical |  |\n| 55. | trivial |  |\n| 56. | (??),Proposition?? | (??) |\n| 57. | Proposition??withsupplementarycondition |  |\n| 58. | (??) | (??) |","| (supertype)(diﬀerentiaevent) | 13 |\n| --- | --- |\n| (diﬀerentiaquality)(supertype) | 6 |\n| (supertype)(diﬀerentiaevent)(eventlocation) | 5 |\n| (supertype)(diﬀerentiaquality)(purpose) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaevent) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaquality) | 2 |\n| (supertype)OR(diﬀerentiaquality)+ | 2 |\n| (supertype)(originlocation) | 2 |\n| (diﬀerentiaquality)(supertype)(diﬀerentiaquality) | 2 |\n| OR(supertype)+(diﬀerentiaevent) | 2 |\n| (diﬀerentiaquality)+(supertype) | 2 |\n| (diﬀerentiaquality)+(supertype)(diﬀerentiaevent) | 2 |\n| Other | 29 |\n| Total | 100 |",0]
["| OptimizedVersion |\n| --- |\n| 0.36s(1×) |\n| 2.91s(1×) |","| 1.14s(1×) |\n| --- |\n| 4.53s(1×) |\n| 9.08s(1×) |",1]
["| OptimizedVersion |\n| --- |\n| 0.36s(1×) |\n| 2.91s(1×) |","|  | 100K | 1M | 10M | 100M |\n| --- | --- | --- | --- | --- |\n| Bib | 0m0.057s | 0m0.638s | 0m8.344s | 1m28.725s |\n| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |\n| WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s |\n| SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s |",0]
["| OptimizedVersion |\n| --- |\n| 0.36s(1×) |","| 2.91s(1×) |\n| --- |\n| 1.14s(1×) |\n| 4.53s(1×) |\n| 9.08s(1×) |",1]
["| OptimizedVersion |\n| --- |\n| 0.36s(1×) |","| LSN | 0m0.225s | 0m1.451s | 0m23.018s | 3m11.318s |\n| --- | --- | --- | --- | --- |\n| WD | 0m2.163s | 0m25.032s | 4m10.988s | 113m31.078s |\n| SP | 0m0.638s | 0m7.048s | 1m28.831s | 15m23.542s |",0]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |","| Noisy | 12.95/0.223/0.148 | 17.42/0.378/0.255 | 19.59/0.460/0.322 | 21.61/0.535/0.393 |\n| --- | --- | --- | --- | --- |\n| PPBit | 23.78/0.590/0.346 | 25.95/0.713/0.487 | 26.95/0.763/0.549 | 27.86/0.803/0.602 |\n| SAR-BM3D | 24.85/0.676/0.455 | 27.12/0.776/0.605 | 28.27/0.818/0.669 | 29.35/0.852/0.723 |\n| FoE | 24.65/0.669/0.493 | 27.07/0.763/0.637 | 28.32/0.812/0.698 | 29.54/0.848/0.753 |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",1]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |","|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |\n| SRAD | 24.82/0.686/0.465 | 25.42/0.738/0.489 | 26.92/0.790/0.570 | 28.25/0.819/0.639 |\n| DPAD | 24.78/0.681/0.473 | 25.48/0.735/0.499 | 27.00/0.789/0.577 | 28.29/0.818/0.643 |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",0]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Noisy | 12.95/0.223/0.148 | 17.42/0.378/0.255 | 19.59/0.460/0.322 | 21.61/0.535/0.393 |","| PPBit | 23.78/0.590/0.346 | 25.95/0.713/0.487 | 26.95/0.763/0.549 | 27.86/0.803/0.602 |\n| --- | --- | --- | --- | --- |\n| SAR-BM3D | 24.85/0.676/0.455 | 27.12/0.776/0.605 | 28.27/0.818/0.669 | 29.35/0.852/0.723 |\n| FoE | 24.65/0.669/0.493 | 27.07/0.763/0.637 | 28.32/0.812/0.698 | 29.54/0.848/0.753 |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",1]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Noisy | 12.95/0.223/0.148 | 17.42/0.378/0.255 | 19.59/0.460/0.322 | 21.61/0.535/0.393 |","| SRAD | 24.82/0.686/0.465 | 25.42/0.738/0.489 | 26.92/0.790/0.570 | 28.25/0.819/0.639 |\n| --- | --- | --- | --- | --- |\n| DPAD | 24.78/0.681/0.473 | 25.48/0.735/0.499 | 27.00/0.789/0.577 | 28.29/0.818/0.643 |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",0]
["| Expert | System |  |  |\n| --- | --- | --- | --- |\n| Precision | Recall | F-measure |  |\n| ExpertA | 75.38 | 29.09 | 0.42 |","| ExpertB | 77.08 | 25.23 | 0.38 |\n| --- | --- | --- | --- |\n| ExpertC | 73.85 | 37.88 | 0.50 |",1]
["| Expert | System |  |  |\n| --- | --- | --- | --- |\n| Precision | Recall | F-measure |  |\n| ExpertA | 75.38 | 29.09 | 0.42 |","| Precision | Recall | F-measure | MAE |\n| --- | --- | --- | --- |\n| 0.892 | 0.811 | 0.872 | 0.084 |\n| 0.852 | 0.746 | 0.825 | 0.132 |\n| 0.912 | 0.740 | 0.865 | 0.107 |\n| 0.873 | 0.730 | 0.836 | 0.129 |",0]
["| Expert | System |  |  |\n| --- | --- | --- | --- |\n| Precision | Recall | F-measure |  |\n| ExpertA | 75.38 | 29.09 | 0.42 |","| ExpertB | 77.08 | 25.23 | 0.38 |\n| --- | --- | --- | --- |\n| ExpertC | 73.85 | 37.88 | 0.50 |",1]
["| Expert | System |  |  |\n| --- | --- | --- | --- |\n| Precision | Recall | F-measure |  |\n| ExpertA | 75.38 | 29.09 | 0.42 |","| 0.912 | 0.740 | 0.865 | 0.107 |\n| --- | --- | --- | --- |\n| 0.873 | 0.730 | 0.836 | 0.129 |",0]
["|  | StageNo.<br>G | Memory<br>depth | Combinational<br>ALUTs | Registers | Memory<br>bits | Clock<br>frequency | Throughput<br>(infobits) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Code1-S | 422 | 512 | 106288 | 68609 | 4402268 | 100MHz | 0.5Gbps |\n| Code2-S | 512 | 512 | 104938 | 68634 | 4402268 | 100MHz | 0.5Gbps |\n| Code3-S | 1024 | 1024 | 73066 | 50087 | 5829352 | 100MHz | 0.5Gbps |\n| Code4-S | 1024 | 1024 | 62823 | 43745 | 4844140 | 100MHz | 0.5Gbps |","| Code1-P | 422 | 512 | 175420 | 105427 | 17558528 | 100MHz | 2.0Gbps |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Code2-P | 512 | 512 | 170102 | 105505 | 17558528 | 100MHz | 2.0Gbps |\n| Code3-P | 1024 | 1024 | 134102 | 86654 | 23283712 | 100MHz | 2.0Gbps |\n| Code4-P | 1024 | 1024 | 120804 | 80342 | 19348480 | 100MHz | 2.0Gbps |\n| Wang | — | — | 28229 | 26926 | 5800000 | 190MHz | 0.2Gbps |",1]
["|  | StageNo.<br>G | Memory<br>depth | Combinational<br>ALUTs | Registers | Memory<br>bits | Clock<br>frequency | Throughput<br>(infobits) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Code1-S | 422 | 512 | 106288 | 68609 | 4402268 | 100MHz | 0.5Gbps |\n| Code2-S | 512 | 512 | 104938 | 68634 | 4402268 | 100MHz | 0.5Gbps |\n| Code3-S | 1024 | 1024 | 73066 | 50087 | 5829352 | 100MHz | 0.5Gbps |\n| Code4-S | 1024 | 1024 | 62823 | 43745 | 4844140 | 100MHz | 0.5Gbps |","| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |\n| --- | --- | --- | --- | --- | --- |\n| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |\n| 255 | 16bytes | 1 | RE | 0.90 | 0.30 |\n| 255 | 16bytes | 2 | MT | 2.94 | 20.41 |\n| 255 | 16bytes | 2 | RE | 0.46 | 0.81 |\n| 255 | 32bytes | 1 | MT | 2.92 | 10.07 |\n| 255 | 32bytes | 1 | RE | 0.09 | 0.40 |\n| 255 | 32bytes | 2 | MT | 11.23 | 14.75 |\n| 255 | 32bytes | 2 | RE | 0.39 | 0.67 |\n| 255 | 64bytes | 1 | MT | 3.12 | 15.27 |\n| 255 | 64bytes | 1 | RE | 0.08 | 0.64 |\n| 255 | 64bytes | 2 | MT | 14.57 | 69.00 |\n| 255 | 64bytes | 2 | RE | 0.35 | 1.04 |\n| 128 | 16bytes | 1 | MT | 3.23 | 15.94 |\n| 128 | 16bytes | 1 | RE | 0.09 | 0.28 |\n| 128 | 16bytes | 2 | MT | 11.78 | 26.40 |\n| 128 | 16bytes | 2 | RE | 0.45 | 0.71 |\n| 128 | 32bytes | 1 | MT | 3.29 | 15.67 |\n| 128 | 32bytes | 1 | RE | 0.87 | 0.35 |\n| 128 | 32bytes | 2 | MT | 12.67 | 40.38 |\n| 128 | 32bytes | 2 | RE | 0.42 | 0.78 |\n| 128 | 64bytes | 1 | MT | 2.80 | 6.47 |\n| 128 | 64bytes | 1 | RE | 0.08 | 0.45 |\n| 128 | 64bytes | 2 | MT | 16.47 | 70.62 |\n| 128 | 64bytes | 2 | RE | 0.41 | 1.69 |\n| 32 | 16codes | 1 | MT | 2.42 | 13.46 |\n| 32 | 16codes | 1 | RE | 0.88 | 0.33 |\n| 32 | 16codes | 2 | MT | 9.01 | 22.94 |\n| 32 | 16codes | 2 | RE | 0.52 | 0.74 |\n| 32 | 32codes | 1 | MT | 2.49 | 18.05 |\n| 32 | 32codes | 1 | RE | 0.09 | 0.42 |\n| 32 | 32codes | 2 | MT | 10.39 | 31.03 |\n| 32 | 32codes | 2 | RE | 0.38 | 0.84 |\n| 32 | 64codes | 1 | MT | 3.04 | 18.78 |\n| 32 | 64codes | 1 | RE | 0.08 | 0.39 |\n| 32 | 64codes | 2 | MT | 10.28 | 64.4 |\n| 32 | 64codes | 2 | RE | 0.37 | 1.12 |",0]
["|  | StageNo.<br>G | Memory<br>depth | Combinational<br>ALUTs | Registers | Memory<br>bits | Clock<br>frequency | Throughput<br>(infobits) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Code1-S | 422 | 512 | 106288 | 68609 | 4402268 | 100MHz | 0.5Gbps |\n| Code2-S | 512 | 512 | 104938 | 68634 | 4402268 | 100MHz | 0.5Gbps |\n| Code3-S | 1024 | 1024 | 73066 | 50087 | 5829352 | 100MHz | 0.5Gbps |\n| Code4-S | 1024 | 1024 | 62823 | 43745 | 4844140 | 100MHz | 0.5Gbps |\n| Code1-P | 422 | 512 | 175420 | 105427 | 17558528 | 100MHz | 2.0Gbps |\n| Code2-P | 512 | 512 | 170102 | 105505 | 17558528 | 100MHz | 2.0Gbps |\n| Code3-P | 1024 | 1024 | 134102 | 86654 | 23283712 | 100MHz | 2.0Gbps |","| Code4-P | 1024 | 1024 | 120804 | 80342 | 19348480 | 100MHz | 2.0Gbps |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wang | — | — | 28229 | 26926 | 5800000 | 190MHz | 0.2Gbps |",1]
["|  | StageNo.<br>G | Memory<br>depth | Combinational<br>ALUTs | Registers | Memory<br>bits | Clock<br>frequency | Throughput<br>(infobits) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Code1-S | 422 | 512 | 106288 | 68609 | 4402268 | 100MHz | 0.5Gbps |\n| Code2-S | 512 | 512 | 104938 | 68634 | 4402268 | 100MHz | 0.5Gbps |\n| Code3-S | 1024 | 1024 | 73066 | 50087 | 5829352 | 100MHz | 0.5Gbps |\n| Code4-S | 1024 | 1024 | 62823 | 43745 | 4844140 | 100MHz | 0.5Gbps |\n| Code1-P | 422 | 512 | 175420 | 105427 | 17558528 | 100MHz | 2.0Gbps |\n| Code2-P | 512 | 512 | 170102 | 105505 | 17558528 | 100MHz | 2.0Gbps |\n| Code3-P | 1024 | 1024 | 134102 | 86654 | 23283712 | 100MHz | 2.0Gbps |","| 128 | 64bytes | 2 | RE | 0.41 | 1.69 |\n| --- | --- | --- | --- | --- | --- |\n| 32 | 16codes | 1 | MT | 2.42 | 13.46 |\n| 32 | 16codes | 1 | RE | 0.88 | 0.33 |\n| 32 | 16codes | 2 | MT | 9.01 | 22.94 |\n| 32 | 16codes | 2 | RE | 0.52 | 0.74 |\n| 32 | 32codes | 1 | MT | 2.49 | 18.05 |\n| 32 | 32codes | 1 | RE | 0.09 | 0.42 |\n| 32 | 32codes | 2 | MT | 10.39 | 31.03 |\n| 32 | 32codes | 2 | RE | 0.38 | 0.84 |\n| 32 | 64codes | 1 | MT | 3.04 | 18.78 |\n| 32 | 64codes | 1 | RE | 0.08 | 0.39 |\n| 32 | 64codes | 2 | MT | 10.28 | 64.4 |\n| 32 | 64codes | 2 | RE | 0.37 | 1.12 |",0]
["| Wordsize<br>m | Timetaken(sec)<br>9<br>togenerate10bits | Timetaken(sec)<br>10<br>togenerate10bits |\n| --- | --- | --- |\n| 8 | 78.6 | 841 |\n| 16 | 20.02 | 215 |","| 32 | 5.95 | 62.74 |\n| --- | --- | --- |\n| 64 | 1.94 | 19.17 |",1]
["| Wordsize<br>m | Timetaken(sec)<br>9<br>togenerate10bits | Timetaken(sec)<br>10<br>togenerate10bits |\n| --- | --- | --- |\n| 8 | 78.6 | 841 |\n| 16 | 20.02 | 215 |","| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| Wordsize<br>m | Timetaken(sec)<br>9<br>togenerate10bits | Timetaken(sec)<br>10<br>togenerate10bits |\n| --- | --- | --- |\n| 8 | 78.6 | 841 |\n| 16 | 20.02 | 215 |","| 32 | 5.95 | 62.74 |\n| --- | --- | --- |\n| 64 | 1.94 | 19.17 |",1]
["| Wordsize<br>m | Timetaken(sec)<br>9<br>togenerate10bits | Timetaken(sec)<br>10<br>togenerate10bits |\n| --- | --- | --- |\n| 8 | 78.6 | 841 |\n| 16 | 20.02 | 215 |","| 4 | 3.51×10 | 80 | 7.46×10 |\n| --- | --- | --- | --- |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| range | homomorphicimage | numberofsuchmappings |\n| --- | --- | --- |\n| 1 | {0} | 1 |\n| 2 | {0,1} | 2−1 |\n| {0,−1} | dtto |  |\n| 3 | {0,1,2} | 3−2 |","| {−2,−1,0} | dtto |\n| --- | --- |\n| {−1,0,1} | 3+3−2−2+2 |",1]
["| range | homomorphicimage | numberofsuchmappings |\n| --- | --- | --- |\n| 1 | {0} | 1 |\n| 2 | {0,1} | 2−1 |\n| {0,−1} | dtto |  |\n| 3 | {0,1,2} | 3−2 |","| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |\n| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |\n| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",0]
["| range | homomorphicimage | numberofsuchmappings |\n| --- | --- | --- |\n| 1 | {0} | 1 |\n| 2 | {0,1} | 2−1 |\n| {0,−1} | dtto |  |","| 3 | {0,1,2} | 3−2 |\n| --- | --- | --- |\n| {−2,−1,0} | dtto |  |\n| {−1,0,1} | 3+3−2−2+2 |  |",1]
["| range | homomorphicimage | numberofsuchmappings |\n| --- | --- | --- |\n| 1 | {0} | 1 |\n| 2 | {0,1} | 2−1 |\n| {0,−1} | dtto |  |","| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| --- | --- | --- | --- | --- |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",0]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| No | 4.31±0.12 | 9.1→27.1±0.3 | 78±16 | 4.65±0.12 | 9.1→24.1±0.1 | 120±28 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L1 | 2.32±0.33 | 7.1→40.2±3.7 | 77±48 | 2.09±0.28 | 7.1→36.6±1.9 | 108±20 |\n| Drop | 8.21±1.10 | 7.7→38.0±2.6 | 158±46 | 4.29±0.14 | 7.7→46.2±0.2 | 293±4 |",1]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 2.25±0.04 | 6.7→13.3±0.2 | 73±52 | 2.33±0.09 | 6.7→9.5±0.3 | 47±16 |\n| L1 | 1.60±0.05 | 4.7→20.5±2.9 | 23±13 | 1.61±0.06 | 4.7→11.9±3.2 | 37±15 |\n| Drop | 1.58±0.10 | 5.9→20.5±1.1 | 113±21 | 1.55±0.18 | 5.9→20.0±1.5 | 145±46 |",0]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| No | 4.31±0.12 | 9.1→27.1±0.3 | 78±16 | 4.65±0.12 | 9.1→24.1±0.1 | 120±28 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L1 | 2.32±0.33 | 7.1→40.2±3.7 | 77±48 | 2.09±0.28 | 7.1→36.6±1.9 | 108±20 |\n| Drop | 8.21±1.10 | 7.7→38.0±2.6 | 158±46 | 4.29±0.14 | 7.7→46.2±0.2 | 293±4 |",1]
["| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |","| L1 | 1.60±0.05 | 4.7→20.5±2.9 | 23±13 | 1.61±0.06 | 4.7→11.9±3.2 | 37±15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Drop | 1.58±0.10 | 5.9→20.5±1.1 | 113±21 | 1.55±0.18 | 5.9→20.0±1.5 | 145±46 |",0]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.4268 | 97.7796 | 86.2319 | 86 | 97.3646 |\n| WSS3 | 83.8006 | 97.9814 | 86.8116 | 86.8 | 97.2182 |\n| method | diab. | four. | germ. | heart |  |","| WSS-WR | 77.9948 | 100 | 75.8 | 85.1852 |  |\n| --- | --- | --- | --- | --- | --- |\n| WSS3 | 77.474 | 100 | 77.6 | 84.4444 |  |",1]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.4268 | 97.7796 | 86.2319 | 86 | 97.3646 |\n| WSS3 | 83.8006 | 97.9814 | 86.8116 | 86.8 | 97.2182 |\n| method | diab. | four. | germ. | heart |  |","| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.053 | 97.4162 | 85.5072 | 80.4 | 97.2182 |\n| WSS3 | 83.8629 | 97.8199 | 85.5072 | 79.5 | 97.2182 |\n| method | diab. | four. | germ. | heart |  |\n| WSS-WR | 76.4323 | 77.8422 | 75.3 | 83.7037 |  |\n| WSS3 | 77.2135 | 77.6102 | 77.9 | 84.4444 |  |",0]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.4268 | 97.7796 | 86.2319 | 86 | 97.3646 |\n| WSS3 | 83.8006 | 97.9814 | 86.8116 | 86.8 | 97.2182 |\n| method | diab. | four. | germ. | heart |  |","| WSS-WR | 77.9948 | 100 | 75.8 | 85.1852 |  |\n| --- | --- | --- | --- | --- | --- |\n| WSS3 | 77.474 | 100 | 77.6 | 84.4444 |  |",1]
["| method | a1a | w1a | aust. | spli. | brea. |\n| --- | --- | --- | --- | --- | --- |\n| WSS-WR | 83.4268 | 97.7796 | 86.2319 | 86 | 97.3646 |\n| WSS3 | 83.8006 | 97.9814 | 86.8116 | 86.8 | 97.2182 |\n| method | diab. | four. | germ. | heart |  |","| WSS-WR | 76.4323 | 77.8422 | 75.3 | 83.7037 |  |\n| --- | --- | --- | --- | --- | --- |\n| WSS3 | 77.2135 | 77.6102 | 77.9 | 84.4444 |  |",0]
["|  | French | Japanese | Italian | Mexican |\n| --- | --- | --- | --- | --- |\n| Top1 | Cognac | Mirin | Gratedparmesancheese | Corntortillas |\n| Top2 | Calvados | Dashi | pecorinoromanocheese | Salsa |\n| Top3 | Thymesprings | Nori | prosciutto | Tortillachips |","| Top4 | Gruyerecheese | Wasabipaste | marinarasauce | Guacamole |\n| --- | --- | --- | --- | --- |\n| Top5 | Nicoiseolives | Bonitoﬂakes | Sweetitaliansausage | Poblanopeppers |",1]
["|  | French | Japanese | Italian | Mexican |\n| --- | --- | --- | --- | --- |\n| Top1 | Cognac | Mirin | Gratedparmesancheese | Corntortillas |\n| Top2 | Calvados | Dashi | pecorinoromanocheese | Salsa |\n| Top3 | Thymesprings | Nori | prosciutto | Tortillachips |","| OriginalIngredient | AlternativeIngredient | P(Japanese) | P(French) | #ofreplacement |\n| --- | --- | --- | --- | --- |\n| - | - | 0.974 | 0.000 | 0 |\n| Mirin | Calvados | 0.552 | 0.009 | 1 |\n| Vegetableoil | Oliveoil | 0.393 | 0.031 | 2 |\n| Soysauce | Bouquetgarni | 0.011 | 0.976 | 3 |\n| Greenonions | Freshtarragon | 0.000 | 0.997 | 4 |\n| Egg | Meltedbutter | 0.000 | 0.999 | 5 |",0]
["|  | French | Japanese | Italian | Mexican |\n| --- | --- | --- | --- | --- |\n| Top1 | Cognac | Mirin | Gratedparmesancheese | Corntortillas |\n| Top2 | Calvados | Dashi | pecorinoromanocheese | Salsa |","| Top3 | Thymesprings | Nori | prosciutto | Tortillachips |\n| --- | --- | --- | --- | --- |\n| Top4 | Gruyerecheese | Wasabipaste | marinarasauce | Guacamole |\n| Top5 | Nicoiseolives | Bonitoﬂakes | Sweetitaliansausage | Poblanopeppers |",1]
["|  | French | Japanese | Italian | Mexican |\n| --- | --- | --- | --- | --- |\n| Top1 | Cognac | Mirin | Gratedparmesancheese | Corntortillas |\n| Top2 | Calvados | Dashi | pecorinoromanocheese | Salsa |","| Soysauce | Bouquetgarni | 0.011 | 0.976 | 3 |\n| --- | --- | --- | --- | --- |\n| Greenonions | Freshtarragon | 0.000 | 0.997 | 4 |\n| Egg | Meltedbutter | 0.000 | 0.999 | 5 |",0]
["| 97.88 |\n| --- |\n| 97.59 |","| 94.51<br>92.60 |\n| --- |\n| 0.236 |\n| 84.6 |",1]
["| 97.88 |\n| --- |\n| 97.59 |","| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |\n| 0.236 |\n| 84.6 |",0]
["| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |","| 0.236 |\n| --- |\n| 84.6 |",1]
["| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |","| 94.51<br>92.60 |\n| --- |\n| 0.236 |\n| 84.6 |",0]
["| Alg | Initial | 10 | 25 | 100 |\n| --- | --- | --- | --- | --- |\n| EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 |\n| BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 |\n| MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |","| Thompson | -.2118±.0002 | -.2247±.0002 | -.2844±.0001 | -.3725±.0004 |\n| --- | --- | --- | --- | --- |\n| FullBR | .4976±.0002 | .4973±.0002 | .4975±.0001 | .4969±.0003 |\n| Nash | -.3750±.0000 | -.3750±.0000 | -.3750±.0000 | -.3750±.0001 |",1]
["| Alg | Initial | 10 | 25 | 100 |\n| --- | --- | --- | --- | --- |\n| EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 |\n| BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 |\n| MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |","| MASR | PPF | 3D-CNN | ANNC-ASSCC |\n| --- | --- | --- | --- |\n| 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 |\n| 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 |\n| 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 |\n| 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 |\n| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |\n| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",0]
["| Alg | Initial | 10 | 25 | 100 |\n| --- | --- | --- | --- | --- |\n| EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 |\n| BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 |\n| MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |","| Thompson | -.2118±.0002 | -.2247±.0002 | -.2844±.0001 | -.3725±.0004 |\n| --- | --- | --- | --- | --- |\n| FullBR | .4976±.0002 | .4973±.0002 | .4975±.0001 | .4969±.0003 |\n| Nash | -.3750±.0000 | -.3750±.0000 | -.3750±.0000 | -.3750±.0001 |",1]
["| Alg | Initial | 10 | 25 | 100 |\n| --- | --- | --- | --- | --- |\n| EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 |\n| BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 |\n| MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |","| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| --- | --- | --- | --- |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |\n| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",0]
["| VocabularySize | 8000 |\n| --- | --- |\n| EmbeddingSize | 128 |\n| HiddenLayerSize | 128 |","| LearningRate | 1×10 |\n| --- | --- |\n| DropoutRate | 0.095 |\n| AdamOptimizer(β,β,α)12 | 0.09,0.99,0.001 |",1]
["| VocabularySize | 8000 |\n| --- | --- |\n| EmbeddingSize | 128 |\n| HiddenLayerSize | 128 |","| Hyperparameter | NMT | SPF | Ours |\n| --- | --- | --- | --- |\n| BatchSize | 128 | 100 | 128 |\n| HiddenLayerSize | 512 | 600 | 512 |\n| EncoderLayer | 2 | 2 | 2 |\n| DecoderLayer | 2 | 1 | 2 |\n| Optimizer | ADAM | ADAM | ADAM |\n| LearningRate | 0.001 | 0.001 | 0.001 |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",0]
["| VocabularySize | 8000 |\n| --- | --- |\n| EmbeddingSize | 128 |\n| HiddenLayerSize | 128 |","| LearningRate | 1×10 |\n| --- | --- |\n| DropoutRate | 0.095 |\n| AdamOptimizer(β,β,α)12 | 0.09,0.99,0.001 |",1]
["| VocabularySize | 8000 |\n| --- | --- |\n| EmbeddingSize | 128 |\n| HiddenLayerSize | 128 |","| LearningRate | 0.001 | 0.001 | 0.001 |\n| --- | --- | --- | --- |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",0]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |","| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",1]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |","| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",1]
["| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |","| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) |","| Dicycle | 0.145(0.02)22.32(1.29)0.7842(0.03) |  |\n| --- | --- | --- |\n| T2toPD | Cycle | 0.561(0.22)19.42(1.61)0.6001(0.11) |\n| Dicycle | 0.141(0.02)22.86(1.31)0.7714(0.02) |  |",1]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) |","| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| T2*toCT | Cycle | 0.516(0.19)18.32(1.82)0.5716(0.15) |\n| Dicycle | 0.287(0.11)23.71(1.17)0.7122(0.03) |  |\n| CTtoT2* | Cycle | 0.521(0.22)19.12(1.60)0.5818(0.12) |\n| Dicycle | 0.299(0.08)22.66(1.11)0.7556(0.02) |  |",0]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) |\n| Dicycle | 0.145(0.02)22.32(1.29)0.7842(0.03) |  |","| T2toPD | Cycle | 0.561(0.22)19.42(1.61)0.6001(0.11) |\n| --- | --- | --- |\n| Dicycle | 0.141(0.02)22.86(1.31)0.7714(0.02) |  |",1]
["| Experiment | Model | MSEPSNRSSIM |\n| --- | --- | --- |\n| PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) |\n| Dicycle | 0.145(0.02)22.32(1.29)0.7842(0.03) |  |","| CTtoT2* | Cycle | 0.521(0.22)19.12(1.60)0.5818(0.12) |\n| --- | --- | --- |\n| Dicycle | 0.299(0.08)22.66(1.11)0.7556(0.02) |  |",0]
["| Image# | GA-MGC | GA-Dissimiliarity |\n| --- | --- | --- |\n| 1 | 87.10 | 88.44 |\n| 2 | 82.97 | 85.28 |\n| 3 | 100.00 | 100.00 |\n| 4 | 65.69 | 69.46 |\n| 5 | 100.00 | 100.00 |","| 6 | 100.00 | 98.30 |\n| --- | --- | --- |\n| 7 | 100.00 | 100.00 |\n| 8 | 100.00 | 100.00 |\n| 9 | 100.00 | 100.00 |\n| 10 | 100.00 | 97.81 |\n| 11 | 99.64 | 97.08 |\n| 12 | 99.27 | 99.64 |\n| 13 | 91.85 | 91.12 |\n| 14 | 100.00 | 99.64 |\n| 15 | 94.04 | 96.84 |\n| 16 | 100.00 | 100.00 |\n| 17 | 100.00 | 99.64 |\n| 18 | 100.00 | 100.00 |\n| 19 | 100.00 | 100.00 |\n| 20 | 100.00 | 100.00 |\n| Avg | 96.03 | 96.16 |",1]
["| Image# | GA-MGC | GA-Dissimiliarity |\n| --- | --- | --- |\n| 1 | 87.10 | 88.44 |\n| 2 | 82.97 | 85.28 |\n| 3 | 100.00 | 100.00 |\n| 4 | 65.69 | 69.46 |\n| 5 | 100.00 | 100.00 |","| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| ML-CNN | 81.97 | 79.11 | 63.16 | 62.45 | 76.25 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |\n| G-tasks | 90.10 | 92.29 | 89.80 | 73.52 | 89.18 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |",0]
["| Image# | GA-MGC | GA-Dissimiliarity |\n| --- | --- | --- |\n| 1 | 87.10 | 88.44 |","| 2 | 82.97 | 85.28 |\n| --- | --- | --- |\n| 3 | 100.00 | 100.00 |\n| 4 | 65.69 | 69.46 |\n| 5 | 100.00 | 100.00 |\n| 6 | 100.00 | 98.30 |\n| 7 | 100.00 | 100.00 |\n| 8 | 100.00 | 100.00 |\n| 9 | 100.00 | 100.00 |\n| 10 | 100.00 | 97.81 |\n| 11 | 99.64 | 97.08 |\n| 12 | 99.27 | 99.64 |\n| 13 | 91.85 | 91.12 |\n| 14 | 100.00 | 99.64 |\n| 15 | 94.04 | 96.84 |\n| 16 | 100.00 | 100.00 |\n| 17 | 100.00 | 99.64 |\n| 18 | 100.00 | 100.00 |\n| 19 | 100.00 | 100.00 |\n| 20 | 100.00 | 100.00 |\n| Avg | 96.03 | 96.16 |",1]
["| Image# | GA-MGC | GA-Dissimiliarity |\n| --- | --- | --- |\n| 1 | 87.10 | 88.44 |","| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| --- | --- | --- | --- | --- | --- |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |",0]
["| Feature | MCCmax | σ |\n| --- | --- | --- |\n| All | 0.27325 | 0.03014 |\n| Location+numberofwires | 0.26206 | 0.03676 |\n| Location+class | 0.25796 | 0.03540 |\n| Location+metertype | 0.25479 | 0.03884 |\n| Location+voltage | 0.22944 | 0.03544 |","| Location+contractstatus | 0.22335 | 0.03454 |\n| --- | --- | --- |\n| Class+numberofwires | 0.17501 | 0.00468 |\n| Class+metertype | 0.16472 | 0.00309 |\n| Class+voltage | 0.16322 | 0.01400 |\n| Numberofwires+metertype | 0.15283 | 0.00274 |\n| Class+contractstatus | 0.15158 | 0.00992 |\n| Numberofwires+voltage | 0.14156 | 0.00800 |\n| Numberofwires+contractstatus | 0.14111 | 0.00794 |\n| Metertype+voltage | 0.13165 | 0.00381 |\n| Metertype+contractstatus | 0.13155 | 0.00382 |\n| Voltage+contractstatus | 0.08213 | 0.08301 |",1]
["| Feature | MCCmax | σ |\n| --- | --- | --- |\n| All | 0.27325 | 0.03014 |\n| Location+numberofwires | 0.26206 | 0.03676 |\n| Location+class | 0.25796 | 0.03540 |\n| Location+metertype | 0.25479 | 0.03884 |\n| Location+voltage | 0.22944 | 0.03544 |","| Feature | ModelOrder | BaselineSystem | FusedSystem |\n| --- | --- | --- | --- |\n| LPCC | 2 | 80.9420 | 84.7101 |\n| 4 | 88.9855 | 91.0870 |  |\n| 8 | 93.8949 | 94.7826 |  |\n| 16 | 95.6884 | 96.2862 |  |\n| 32 | 96.5399 | 97.1014 |  |\n| 64 | 96.7391 | 97.2826 |  |\n| PLPCC | 2 | 66.5761 | 72.5543 |\n| 4 | 76.9203 | 81.0507 |  |\n| 8 | 85.3080 | 87.7717 |  |\n| 16 | 90.6341 | 91.9022 |  |\n| 32 | 93.5326 | 94.3116 |  |\n| 64 | 94.6920 | 95.3986 |  |\n| LFCC | 2 | 83.0072 | 85.8152 |\n| 4 | 90.3623 | 91.7935 |  |\n| 8 | 94.6196 | 95.4891 |  |\n| 16 | 96.2681 | 96.6848 |  |\n| 32 | 97.1014 | 97.3551 |  |\n| 64 | 97.2464 | 97.6268 |  |\n| MFCC | 2 | 74.3116 | 78.6051 |\n| 4 | 84.8551 | 86.9384 |  |\n| 8 | 90.6703 | 92.0290 |  |\n| 16 | 94.1667 | 94.6920 |  |\n| 32 | 95.6522 | 95.9964 |  |\n| 64 | 96.7935 | 97.1014 |  |",0]
["| Feature | MCCmax | σ |\n| --- | --- | --- |\n| All | 0.27325 | 0.03014 |\n| Location+numberofwires | 0.26206 | 0.03676 |\n| Location+class | 0.25796 | 0.03540 |\n| Location+metertype | 0.25479 | 0.03884 |\n| Location+voltage | 0.22944 | 0.03544 |","| Location+contractstatus | 0.22335 | 0.03454 |\n| --- | --- | --- |\n| Class+numberofwires | 0.17501 | 0.00468 |\n| Class+metertype | 0.16472 | 0.00309 |\n| Class+voltage | 0.16322 | 0.01400 |\n| Numberofwires+metertype | 0.15283 | 0.00274 |\n| Class+contractstatus | 0.15158 | 0.00992 |\n| Numberofwires+voltage | 0.14156 | 0.00800 |\n| Numberofwires+contractstatus | 0.14111 | 0.00794 |\n| Metertype+voltage | 0.13165 | 0.00381 |\n| Metertype+contractstatus | 0.13155 | 0.00382 |\n| Voltage+contractstatus | 0.08213 | 0.08301 |",1]
["| Feature | MCCmax | σ |\n| --- | --- | --- |\n| All | 0.27325 | 0.03014 |\n| Location+numberofwires | 0.26206 | 0.03676 |\n| Location+class | 0.25796 | 0.03540 |\n| Location+metertype | 0.25479 | 0.03884 |\n| Location+voltage | 0.22944 | 0.03544 |","| 8 | 94.6196 | 95.4891 |  |\n| --- | --- | --- | --- |\n| 16 | 96.2681 | 96.6848 |  |\n| 32 | 97.1014 | 97.3551 |  |\n| 64 | 97.2464 | 97.6268 |  |\n| MFCC | 2 | 74.3116 | 78.6051 |\n| 4 | 84.8551 | 86.9384 |  |\n| 8 | 90.6703 | 92.0290 |  |\n| 16 | 94.1667 | 94.6920 |  |\n| 32 | 95.6522 | 95.9964 |  |\n| 64 | 96.7935 | 97.1014 |  |",0]
["| S.No | Nodes | TimeinSeconds |\n| --- | --- | --- |\n| 1 | 1000 | below1 |\n| 2 | 10000 | 2 |","| 3 | 100000 | 224 |\n| --- | --- | --- |\n| 4 | 1000000 | 21966 |",1]
["| S.No | Nodes | TimeinSeconds |\n| --- | --- | --- |\n| 1 | 1000 | below1 |\n| 2 | 10000 | 2 |","| AND | inG | Time<br>Node | Time<br>Node | Time<br>Node | Time<br>Node |\n| --- | --- | --- | --- | --- | --- |\n| 30 | 1000 | 21<br>1415 | 14<br>3312 | 2<br>2052 | 1<br>849 |\n| 2000 | 73<br>2919 | 62<br>6949 | 9<br>4946 | 3<br>1576 |  |\n| 3000 | 157<br>4460 | 144<br>10732 | 20<br>8602 | 7<br>2461 |  |\n| 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 |\n| 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 |  |\n| 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 |  |",0]
["| S.No | Nodes | TimeinSeconds |\n| --- | --- | --- |\n| 1 | 1000 | below1 |\n| 2 | 10000 | 2 |","| 3 | 100000 | 224 |\n| --- | --- | --- |\n| 4 | 1000000 | 21966 |",1]
["| S.No | Nodes | TimeinSeconds |\n| --- | --- | --- |\n| 1 | 1000 | below1 |\n| 2 | 10000 | 2 |","| 2000 | 73<br>2919 | 62<br>6949 | 9<br>4946 | 3<br>1576 |  |\n| --- | --- | --- | --- | --- | --- |\n| 3000 | 157<br>4460 | 144<br>10732 | 20<br>8602 | 7<br>2461 |  |\n| 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 |\n| 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 |  |\n| 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 |  |",0]
["| No | LExO | FRED | Text2Onto | DLOL |\n| --- | --- | --- | --- | --- |\n| Trivial | 14/15 | 9/15 | 13/15 | 0/15 |\n| Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 |\n| Partial | LExO | FRED | Text2Onto | DLOL |\n| Trivial | 1/15 | 0/15 | 0/15 | 1/15 |\n| Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 |","| Yes | LExO | FRED | Text2Onto | DLOL |\n| --- | --- | --- | --- | --- |\n| Trivial | 0/15 | 6/15 | 2/15 | 14/15 |\n| Non-Trivial | 0/56 | 4/56 | 0/56 | 54/56 |",1]
["| No | LExO | FRED | Text2Onto | DLOL |\n| --- | --- | --- | --- | --- |\n| Trivial | 14/15 | 9/15 | 13/15 | 0/15 |\n| Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 |\n| Partial | LExO | FRED | Text2Onto | DLOL |\n| Trivial | 1/15 | 0/15 | 0/15 | 1/15 |\n| Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 |","|  | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |\n| --- | --- | --- | --- | --- |\n| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |\n| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |\n| Pruning | – | – | 0.57 | 0.56 |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |\n| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",0]
["| No | LExO | FRED | Text2Onto | DLOL |\n| --- | --- | --- | --- | --- |\n| Trivial | 14/15 | 9/15 | 13/15 | 0/15 |\n| Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 |\n| Partial | LExO | FRED | Text2Onto | DLOL |\n| Trivial | 1/15 | 0/15 | 0/15 | 1/15 |\n| Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 |\n| Yes | LExO | FRED | Text2Onto | DLOL |","| Trivial | 0/15 | 6/15 | 2/15 | 14/15 |\n| --- | --- | --- | --- | --- |\n| Non-Trivial | 0/56 | 4/56 | 0/56 | 54/56 |",1]
["| No | LExO | FRED | Text2Onto | DLOL |\n| --- | --- | --- | --- | --- |\n| Trivial | 14/15 | 9/15 | 13/15 | 0/15 |\n| Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 |\n| Partial | LExO | FRED | Text2Onto | DLOL |\n| Trivial | 1/15 | 0/15 | 0/15 | 1/15 |\n| Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 |\n| Yes | LExO | FRED | Text2Onto | DLOL |","| Pruning | – | – | 0.57 | 0.56 |\n| --- | --- | --- | --- | --- |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |\n| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",0]
["| Graph | n | LB1 | LB2 | Opt |\n| --- | --- | --- | --- | --- |\n| TinaDiscal | 11 | 0.31 | 0.86 | 12 |\n| jg1009 | 9 | 1.55 | 1.72 | 16 |\n| jg1011 | 11 | 1.48 | 0.94 | 24 |\n| Stranke94 | 10 | 1.76 | 1.77 | 24 |\n| Hamrle1 | 32 | -1.93 | 1.12 | 17 |\n| 4x5t | 20 | -21.71 | 5.43 | 28 |","| 8x5t | 40 | -16.16 | 2.91 | 33 |\n| --- | --- | --- | --- | --- |\n| t050 | 30 | 0.90 | 18.54 | 397 |\n| 2x17m | 34 | 1.33 | 1.27 | 316 |\n| s090 | 60 | -9.84 | 13.10 | 238 |",1]
["| Graph | n | LB1 | LB2 | Opt |\n| --- | --- | --- | --- | --- |\n| TinaDiscal | 11 | 0.31 | 0.86 | 12 |\n| jg1009 | 9 | 1.55 | 1.72 | 16 |\n| jg1011 | 11 | 1.48 | 0.94 | 24 |\n| Stranke94 | 10 | 1.76 | 1.77 | 24 |\n| Hamrle1 | 32 | -1.93 | 1.12 | 17 |\n| 4x5t | 20 | -21.71 | 5.43 | 28 |","| Graph | \\|V\\|G | \\|E\\|G | dnG | \\|C\\|G | \\|c\\|<br>G | \\|c\\|<br>G | \\|c\\|<br>G |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 |\n| ∆TR | 0.651 | 0.088 | 0.208 | 1.013 | 0.647 | 0.643 | 1 |\n| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",0]
["| Graph | n | LB1 | LB2 | Opt |\n| --- | --- | --- | --- | --- |\n| TinaDiscal | 11 | 0.31 | 0.86 | 12 |\n| jg1009 | 9 | 1.55 | 1.72 | 16 |\n| jg1011 | 11 | 1.48 | 0.94 | 24 |\n| Stranke94 | 10 | 1.76 | 1.77 | 24 |","| Hamrle1 | 32 | -1.93 | 1.12 | 17 |\n| --- | --- | --- | --- | --- |\n| 4x5t | 20 | -21.71 | 5.43 | 28 |\n| 8x5t | 40 | -16.16 | 2.91 | 33 |\n| t050 | 30 | 0.90 | 18.54 | 397 |\n| 2x17m | 34 | 1.33 | 1.27 | 316 |\n| s090 | 60 | -9.84 | 13.10 | 238 |",1]
["| Graph | n | LB1 | LB2 | Opt |\n| --- | --- | --- | --- | --- |\n| TinaDiscal | 11 | 0.31 | 0.86 | 12 |\n| jg1009 | 9 | 1.55 | 1.72 | 16 |\n| jg1011 | 11 | 1.48 | 0.94 | 24 |\n| Stranke94 | 10 | 1.76 | 1.77 | 24 |","| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",0]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 112.1<br>92.1 |\n| A<br>B | 123.3<br>133.3 |\n| A<br>B | 144.8<br>156.5 |","| A<br>B | 81.8<br>99.5 |\n| --- | --- |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",1]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 112.1<br>92.1 |\n| A<br>B | 123.3<br>133.3 |\n| A<br>B | 144.8<br>156.5 |","| Net | ISPA |\n| --- | --- |\n| A<br>B | 143.6<br>124.4 |\n| A<br>B | 154.6<br>165.5 |\n| A<br>B | 165.4<br>197.7 |\n| A<br>B | 186.7<br>205.1 |",0]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 112.1<br>92.1 |\n| A<br>B | 123.3<br>133.3 |\n| A<br>B | 144.8<br>156.5 |","| A<br>B | 81.8<br>99.5 |\n| --- | --- |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",1]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 112.1<br>92.1 |\n| A<br>B | 123.3<br>133.3 |\n| A<br>B | 144.8<br>156.5 |","| A<br>B | 154.6<br>165.5 |\n| --- | --- |\n| A<br>B | 165.4<br>197.7 |\n| A<br>B | 186.7<br>205.1 |",0]
["| Class | MACHOid | RA | Dec | Period[days] | V | R | Color |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 |","| ClassB<br>ClassB<br>ClassB<br>ClassB<br>ClassB | 56.5178.29<br>44.1616.257<br>35.7272.13<br>48.2864.67<br>82.8284.126 | 5.19911<br>4.84559<br>5.42992<br>4.96026<br>5.51805 | -66.5471<br>-70.0673<br>-72.127<br>-67.5326<br>-69.202 | 363.00<br>871.32<br>374.98<br>872.94<br>438.12 | 16.50<br>16.23<br>16.23<br>17.00<br>17.56 | 17.02<br>16.704<br>16.70<br>17.53<br>17.61 | -0.51<br>-0.47<br>-0.47<br>-0.52<br>-0.04 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ClassC<br>ClassC<br>ClassC | 17.2711.26<br>82.8283.41<br>62.7361.30 | 4.9556<br>5.5218<br>5.4249 | -69.6723<br>-69.2594<br>-66.2181 | 680.70<br>525.75<br>848.30 | 15.41<br>15.07<br>16.38 | 15.87<br>15.66<br>16.65 | -0.46<br>-0.59<br>-0.27 |\n| IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier | 13.5835.11<br>18.2478.9<br>78.6462.561<br>62.7241.19 | 5.2742<br>4.9342<br>5.3366<br>5.4114 | -71.0974<br>-69.0323<br>-69.6743<br>-66.1581 | 296.98<br>226.90<br>678.95<br>636.23 | 14.85<br>14.76<br>18.11<br>16.16 | 15.21<br>15.23<br>17.91<br>16.34 | -0.36<br>-0.46<br>0.20<br>-0.18 |",1]
["| Class | MACHOid | RA | Dec | Period[days] | V | R | Color |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 |","|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |\n| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |\n| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["| Class | MACHOid | RA | Dec | Period[days] | V | R | Color |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 |\n| ClassB<br>ClassB<br>ClassB<br>ClassB<br>ClassB | 56.5178.29<br>44.1616.257<br>35.7272.13<br>48.2864.67<br>82.8284.126 | 5.19911<br>4.84559<br>5.42992<br>4.96026<br>5.51805 | -66.5471<br>-70.0673<br>-72.127<br>-67.5326<br>-69.202 | 363.00<br>871.32<br>374.98<br>872.94<br>438.12 | 16.50<br>16.23<br>16.23<br>17.00<br>17.56 | 17.02<br>16.704<br>16.70<br>17.53<br>17.61 | -0.51<br>-0.47<br>-0.47<br>-0.52<br>-0.04 |","| ClassC<br>ClassC<br>ClassC | 17.2711.26<br>82.8283.41<br>62.7361.30 | 4.9556<br>5.5218<br>5.4249 | -69.6723<br>-69.2594<br>-66.2181 | 680.70<br>525.75<br>848.30 | 15.41<br>15.07<br>16.38 | 15.87<br>15.66<br>16.65 | -0.46<br>-0.59<br>-0.27 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier | 13.5835.11<br>18.2478.9<br>78.6462.561<br>62.7241.19 | 5.2742<br>4.9342<br>5.3366<br>5.4114 | -71.0974<br>-69.0323<br>-69.6743<br>-66.1581 | 296.98<br>226.90<br>678.95<br>636.23 | 14.85<br>14.76<br>18.11<br>16.16 | 15.21<br>15.23<br>17.91<br>16.34 | -0.36<br>-0.46<br>0.20<br>-0.18 |",1]
["| Class | MACHOid | RA | Dec | Period[days] | V | R | Color |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 |\n| ClassB<br>ClassB<br>ClassB<br>ClassB<br>ClassB | 56.5178.29<br>44.1616.257<br>35.7272.13<br>48.2864.67<br>82.8284.126 | 5.19911<br>4.84559<br>5.42992<br>4.96026<br>5.51805 | -66.5471<br>-70.0673<br>-72.127<br>-67.5326<br>-69.202 | 363.00<br>871.32<br>374.98<br>872.94<br>438.12 | 16.50<br>16.23<br>16.23<br>17.00<br>17.56 | 17.02<br>16.704<br>16.70<br>17.53<br>17.61 | -0.51<br>-0.47<br>-0.47<br>-0.52<br>-0.04 |","| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |\n| --- | --- | --- | --- | --- | --- |\n| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["| Method | Scene1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 |\n| P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 |\n| P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene2 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 |\n| P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 |\n| P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene3 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 |\n| P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 |\n| P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene4 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 |\n| P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 |\n| P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene5 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |","| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |",1]
["| Method | Scene1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 |\n| P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 |\n| P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene2 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 |\n| P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 |\n| P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene3 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 |\n| P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 |\n| P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene4 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 |\n| P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 |\n| P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene5 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |","| Scene | Objects | Frames | 3D<br>points |\n| --- | --- | --- | --- |\n| 1 | 16 | 880 | 13.5x10 |\n| 2 | 14 | 728 | 13.7x10 |\n| 3 | 12 | 763 | 9.7x10 |\n| 4 | 12 | 714 | 5.7x10 |\n| 5 | 15 | 1316 | 11.6x10 |\n| 6 | 15 | 451 | 7.7x10 |\n| 7 | 11 | 740 | 13.2x10 |\n| 8 | 10 | 398 | 13.5x10 |\n| 9 | 13 | 745 | 8.3x10 |",0]
["| Method | Scene1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 |\n| P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 |\n| P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene2 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |","| Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 |\n| P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene3 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 |\n| P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 |\n| P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene4 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 |\n| P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 |\n| P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene5 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |\n| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 |\n| P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |",1]
["| Method | Scene1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 |\n| P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 |\n| P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene2 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |","| 7 | 11 | 740 | 13.2x10 |\n| --- | --- | --- | --- |\n| 8 | 10 | 398 | 13.5x10 |\n| 9 | 13 | 745 | 8.3x10 |",0]
["| GPUModel | TeslaC2050 | GeForceGT640 |\n| --- | --- | --- |\n| CUDADriver | 4.2 | 5.0 |\n| CUDARuntime | 4.2 | 4.2 |\n| CUDACapability | 2.0 | 3.0 |\n| GPUArchitecture | FermiGF100 | KeplerGK107 |\n| GlobalMemory | 5GB | 2GB |","| SharedMemoryperMP | 48KB | 16KB |\n| --- | --- | --- |\n| Registers | 32768 | 65536 |\n| WarpSize | 32 | 32 |\n| CUDACores | 448 | 384 |\n| Multiprocessors(MP) | 14 | 2 |\n| TotalSharedMemory | 672KB | 32KB |\n| LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |",1]
["| GPUModel | TeslaC2050 | GeForceGT640 |\n| --- | --- | --- |\n| CUDADriver | 4.2 | 5.0 |\n| CUDARuntime | 4.2 | 4.2 |\n| CUDACapability | 2.0 | 3.0 |\n| GPUArchitecture | FermiGF100 | KeplerGK107 |\n| GlobalMemory | 5GB | 2GB |","| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| GPUModel | TeslaC2050 | GeForceGT640 |\n| --- | --- | --- |\n| CUDADriver | 4.2 | 5.0 |\n| CUDARuntime | 4.2 | 4.2 |\n| CUDACapability | 2.0 | 3.0 |\n| GPUArchitecture | FermiGF100 | KeplerGK107 |\n| GlobalMemory | 5GB | 2GB |\n| SharedMemoryperMP | 48KB | 16KB |\n| Registers | 32768 | 65536 |\n| WarpSize | 32 | 32 |\n| CUDACores | 448 | 384 |","| Multiprocessors(MP) | 14 | 2 |\n| --- | --- | --- |\n| TotalSharedMemory | 672KB | 32KB |\n| LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |",1]
["| GPUModel | TeslaC2050 | GeForceGT640 |\n| --- | --- | --- |\n| CUDADriver | 4.2 | 5.0 |\n| CUDARuntime | 4.2 | 4.2 |\n| CUDACapability | 2.0 | 3.0 |\n| GPUArchitecture | FermiGF100 | KeplerGK107 |\n| GlobalMemory | 5GB | 2GB |\n| SharedMemoryperMP | 48KB | 16KB |\n| Registers | 32768 | 65536 |\n| WarpSize | 32 | 32 |\n| CUDACores | 448 | 384 |","| #ofSMs | 20 | 28 |\n| --- | --- | --- |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| Category | Problems |\n| --- | --- |\n| LinearAlgebra | VectorDotProduct<br>MatrixMultiplication |\n| Reduction,Scan,Sort | ArraySum<br>Scan<br>Quicksort |","| ImageProcessing | Grayscaleconversion<br>Medianﬁltering |\n| --- | --- |\n| DivideandConquer | MonteCarlo<br>PiusingSeriesSum |",1]
["| Category | Problems |\n| --- | --- |\n| LinearAlgebra | VectorDotProduct<br>MatrixMultiplication |\n| Reduction,Scan,Sort | ArraySum<br>Scan<br>Quicksort |","| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 |\n| SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 |\n| NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 |\n| NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |",0]
["| Category | Problems |\n| --- | --- |\n| LinearAlgebra | VectorDotProduct<br>MatrixMultiplication |","| Reduction,Scan,Sort | ArraySum<br>Scan<br>Quicksort |\n| --- | --- |\n| ImageProcessing | Grayscaleconversion<br>Medianﬁltering |\n| DivideandConquer | MonteCarlo<br>PiusingSeriesSum |",1]
["| Category | Problems |\n| --- | --- |\n| LinearAlgebra | VectorDotProduct<br>MatrixMultiplication |","| SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 |\n| --- | --- | --- | --- | --- | --- |\n| NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 |\n| NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |",0]
["| CameraModel | Training | Validation | Test |\n| --- | --- | --- | --- |\n| AS-One | 90000 | 25500 | 12500 |\n| ES-D5100 | 37500 | 10500 | 5000 |\n| MK-Powershot | 35000 | 10000 | 5000 |\n| MK-s860 | 35500 | 10000 | 5000 |\n| PAR-1233 | 71000 | 20000 | 10000 |\n| PAR-1476 | 107000 | 30500 | 15000 |","| PAR-1477 | 70000 | 20000 | 9500 |\n| --- | --- | --- | --- |\n| PAR-A015 | 40500 | 11500 | 5500 |\n| PAR-A075 | 26000 | 7000 | 3500 |\n| PAR-A106 | 54000 | 15500 | 7500 |",1]
["| CameraModel | Training | Validation | Test |\n| --- | --- | --- | --- |\n| AS-One | 90000 | 25500 | 12500 |\n| ES-D5100 | 37500 | 10500 | 5000 |\n| MK-Powershot | 35000 | 10000 | 5000 |\n| MK-s860 | 35500 | 10000 | 5000 |\n| PAR-1233 | 71000 | 20000 | 10000 |\n| PAR-1476 | 107000 | 30500 | 15000 |","|  | Training | Testing | Validation |\n| --- | --- | --- | --- |\n| ModelI | 3588 | 1184 | 1189 |\n| ModelII | 5259 | 1763 | 1746 |\n| ModelIII | 3980 | 1368 | 1350 |\n| ModelIV | 2212 | 733 | 742 |\n| Total | 15039 | 5048 | 5027 |",0]
["| CameraModel | Training | Validation | Test |\n| --- | --- | --- | --- |\n| AS-One | 90000 | 25500 | 12500 |\n| ES-D5100 | 37500 | 10500 | 5000 |\n| MK-Powershot | 35000 | 10000 | 5000 |\n| MK-s860 | 35500 | 10000 | 5000 |","| PAR-1233 | 71000 | 20000 | 10000 |\n| --- | --- | --- | --- |\n| PAR-1476 | 107000 | 30500 | 15000 |\n| PAR-1477 | 70000 | 20000 | 9500 |\n| PAR-A015 | 40500 | 11500 | 5500 |\n| PAR-A075 | 26000 | 7000 | 3500 |\n| PAR-A106 | 54000 | 15500 | 7500 |",1]
["| CameraModel | Training | Validation | Test |\n| --- | --- | --- | --- |\n| AS-One | 90000 | 25500 | 12500 |\n| ES-D5100 | 37500 | 10500 | 5000 |\n| MK-Powershot | 35000 | 10000 | 5000 |\n| MK-s860 | 35500 | 10000 | 5000 |","| ModelIV | 2212 | 733 | 742 |\n| --- | --- | --- | --- |\n| Total | 15039 | 5048 | 5027 |",0]
["| Portion | 1Annot. | 2Annot. | 3Annot. |\n| --- | --- | --- | --- |\n| 1-2400 | #08 | #01 | #04 |\n| 2401-4800 | #04 | #03 | #01 |\n| 4801-7200 | #01 | #04 | #08 |","| 7201-9600 | #03 | #08 | #02 |\n| --- | --- | --- | --- |\n| 9601-11185 | #06 | #05 | #03 |\n| 11186-12772 | #07 | #02 | #06 |",1]
["| Portion | 1Annot. | 2Annot. | 3Annot. |\n| --- | --- | --- | --- |\n| 1-2400 | #08 | #01 | #04 |\n| 2401-4800 | #04 | #03 | #01 |\n| 4801-7200 | #01 | #04 | #08 |","| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |\n| 349 | 1 |\n| 446 | 2 |\n| 307 | 1 |\n| 1472 | 142 |\n| 332 | 1 |\n| 941 | 81 |\n| 646 | 39 |\n| 1922 | 201 |\n| 623 | 38 |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",0]
["| Portion | 1Annot. | 2Annot. | 3Annot. |\n| --- | --- | --- | --- |\n| 1-2400 | #08 | #01 | #04 |\n| 2401-4800 | #04 | #03 | #01 |\n| 4801-7200 | #01 | #04 | #08 |\n| 7201-9600 | #03 | #08 | #02 |","| 9601-11185 | #06 | #05 | #03 |\n| --- | --- | --- | --- |\n| 11186-12772 | #07 | #02 | #06 |",1]
["| Portion | 1Annot. | 2Annot. | 3Annot. |\n| --- | --- | --- | --- |\n| 1-2400 | #08 | #01 | #04 |\n| 2401-4800 | #04 | #03 | #01 |\n| 4801-7200 | #01 | #04 | #08 |\n| 7201-9600 | #03 | #08 | #02 |","| 623 | 38 |\n| --- | --- |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",0]
["|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |","| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",1]
["|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |","| CROATIAN | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freq. | 0.99 | 0.95 | 0.96 | -0.18 | 0.93 | 0.96 | -0.15 |\n| TSP | 0.01 | 0.42 | -0.03 | -0.26 | 0.39 | 0.32 | -0.28 |\n| ENGLISH | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |\n| Freq. | 0.93 | 0.91 | 0.86 | -0.30 | 0.84 | 0.74 | -0.17 |\n| TSP | -0.26 | 0.92 | 0.73 | 0.39 | 0.04 | 0.35 | -0.27 |",0]
["|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |","| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",1]
["|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |","| Freq. | 0.93 | 0.91 | 0.86 | -0.30 | 0.84 | 0.74 | -0.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TSP | -0.26 | 0.92 | 0.73 | 0.39 | 0.04 | 0.35 | -0.27 |",0]
["| English-Spanish-858instances |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | NLL | NLPD | MAE | r |\n| EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 |\n| logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 |","| tanh1EQ<br>tanh1Mat32<br>tanh1Mat52 | 992.19<br>991.39<br>992.20 | 1.274<br>1.272<br>1.274 | 0.790<br>0.790<br>0.791 | 0.375<br>0.379<br>0.376 |\n| --- | --- | --- | --- | --- |\n| tanh2EQ<br>tanh2Mat32<br>tanh2Mat52 | 982.43<br>982.40<br>981.86 | 1.275<br>1.281<br>1.282 | 0.792<br>0.791<br>0.792 | 0.376<br>0.382<br>0.278 |\n| tanh3EQ<br>tanh3Mat32<br>tanh3Mat52 | 980.50<br>981.20<br>980.70 | 1.282<br>1.282<br>1.275 | 0.791<br>0.791<br>0.790 | 0.380<br>0.380<br>0.385 |",1]
["| English-Spanish-858instances |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | NLL | NLPD | MAE | r |\n| EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 |\n| logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 |","| English-Spanish |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Optimistic | Pessimistic |  |  |\n|  | AL | Linex | AL | Linex |\n| StdGP | 1.187 | 0.447 | 1.633 | 3.009 |\n| log<br>tanh1<br>tanh2<br>tanh3 | 1.060<br>1.050<br>1.054<br>1.053 | 0.299<br>0.300<br>0.300<br>0.299 | 1.534<br>1.528<br>1.543<br>1.538 | 3.327<br>3.251<br>3.335<br>3.322 |",0]
["| English-Spanish-858instances |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | NLL | NLPD | MAE | r |\n| EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 |\n| logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 |\n| tanh1EQ<br>tanh1Mat32<br>tanh1Mat52 | 992.19<br>991.39<br>992.20 | 1.274<br>1.272<br>1.274 | 0.790<br>0.790<br>0.791 | 0.375<br>0.379<br>0.376 |","| tanh2EQ<br>tanh2Mat32<br>tanh2Mat52 | 982.43<br>982.40<br>981.86 | 1.275<br>1.281<br>1.282 | 0.792<br>0.791<br>0.792 | 0.376<br>0.382<br>0.278 |\n| --- | --- | --- | --- | --- |\n| tanh3EQ<br>tanh3Mat32<br>tanh3Mat52 | 980.50<br>981.20<br>980.70 | 1.282<br>1.282<br>1.275 | 0.791<br>0.791<br>0.790 | 0.380<br>0.380<br>0.385 |",1]
["| English-Spanish-858instances |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | NLL | NLPD | MAE | r |\n| EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 |\n| logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 |\n| tanh1EQ<br>tanh1Mat32<br>tanh1Mat52 | 992.19<br>991.39<br>992.20 | 1.274<br>1.272<br>1.274 | 0.790<br>0.790<br>0.791 | 0.375<br>0.379<br>0.376 |","|  | AL | Linex | AL | Linex |\n| --- | --- | --- | --- | --- |\n| StdGP | 1.187 | 0.447 | 1.633 | 3.009 |\n| log<br>tanh1<br>tanh2<br>tanh3 | 1.060<br>1.050<br>1.054<br>1.053 | 0.299<br>0.300<br>0.300<br>0.299 | 1.534<br>1.528<br>1.543<br>1.538 | 3.327<br>3.251<br>3.335<br>3.322 |",0]
["| IncS | Value |\n| --- | --- |\n| IncS(f,f)1j | 0.0509 |\n| IncS(f,f)2j | 0.3038 |","| IncS(f,f)3j | 0.0506 |\n| --- | --- |\n| IncS(f,f)4j | 0.4653 |",1]
["| IncS | Value |\n| --- | --- |\n| IncS(f,f)1j | 0.0509 |\n| IncS(f,f)2j | 0.3038 |","| IncP | Value |\n| --- | --- |\n| IncP(f,f)1j | 0.1921 |\n| IncP(f,f)2j | 0.3217 |\n| IncP(f,f)3j | 0.60317 |\n| IncP(f,f)4j | 0.1852 |",0]
["| IncS | Value |\n| --- | --- |\n| IncS(f,f)1j | 0.0509 |","| IncS(f,f)2j | 0.3038 |\n| --- | --- |\n| IncS(f,f)3j | 0.0506 |\n| IncS(f,f)4j | 0.4653 |",1]
["| IncS | Value |\n| --- | --- |\n| IncS(f,f)1j | 0.0509 |","| IncP(f,f)2j | 0.3217 |\n| --- | --- |\n| IncP(f,f)3j | 0.60317 |\n| IncP(f,f)4j | 0.1852 |",0]
["| Method | HMDB51 | UCF101 |\n| --- | --- | --- |\n| idt | 57.2 | 85.9 |\n| idt+high-Dencodings | 61.1 | 87.9 |\n| Two-streamCNN(2nets) | 59.4 | 88 |\n| Multi-skipFeatureStacking | 65.4 | 89.1 |","| C3D(1net)<br>C3D(3nets)<br>C3D(3nets)+idt | –<br>–<br>– | 82.3<br>85.2<br>90.4 |\n| --- | --- | --- |\n| TDD(2nets)<br>TDD(2nets)+idt | 63.2<br>65.9 | 90.3<br>91.5 |\n| stackedFV<br>stackedFV+idt | 56.21<br>66.78 | –<br>– |\n| RNN-FV(C3D+VGG-CCA)<br>RNN-FV(C3D+VGG-CCA)+idt | 54.33<br>67.71 | 88.01<br>94.08 |",1]
["| Method | HMDB51 | UCF101 |\n| --- | --- | --- |\n| idt | 57.2 | 85.9 |\n| idt+high-Dencodings | 61.1 | 87.9 |\n| Two-streamCNN(2nets) | 59.4 | 88 |\n| Multi-skipFeatureStacking | 65.4 | 89.1 |","| Model | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| Two-Stream | 88.0 | 59.4 |\n| IDT | 86.4 | 61.7 |\n| DynamicImageNetworks+IDT | 89.1 | 65.2 |\n| TDD+IDT | 91.5 | 65.9 |\n| Two-StreamFusion+IDT | 93.5 | 69.2 |\n| TemporalSegmentNetworks | 94.2 | 69.4 |\n| ST-ResNet+IDT | 94.6 | 70.3 |\n| DeepNetworks,Sports1Mpre-training | 65.2 | - |\n| C3Donenetwork,Sports1Mpre-training | 82.3 | - |\n| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",0]
["| Method | HMDB51 | UCF101 |\n| --- | --- | --- |\n| idt | 57.2 | 85.9 |\n| idt+high-Dencodings | 61.1 | 87.9 |","| Two-streamCNN(2nets) | 59.4 | 88 |\n| --- | --- | --- |\n| Multi-skipFeatureStacking | 65.4 | 89.1 |\n| C3D(1net)<br>C3D(3nets)<br>C3D(3nets)+idt | –<br>–<br>– | 82.3<br>85.2<br>90.4 |\n| TDD(2nets)<br>TDD(2nets)+idt | 63.2<br>65.9 | 90.3<br>91.5 |\n| stackedFV<br>stackedFV+idt | 56.21<br>66.78 | –<br>– |\n| RNN-FV(C3D+VGG-CCA)<br>RNN-FV(C3D+VGG-CCA)+idt | 54.33<br>67.71 | 88.01<br>94.08 |",1]
["| Method | HMDB51 | UCF101 |\n| --- | --- | --- |\n| idt | 57.2 | 85.9 |\n| idt+high-Dencodings | 61.1 | 87.9 |","| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| --- | --- | --- |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",0]
["| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 |","| Mobilenet-v21224 | 0.001 | 0.698 | 0.709 | 0.711 | 0.719 |\n| --- | --- | --- | --- | --- | --- |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.73 | 0.73 | 0.74 |\n| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.735 | 0.745 | 0.749 |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.75 | 0.75 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |\n| Resnet-v1152 | 0.766 | 0.762 | 0.765 | 0.762 | 0.768 |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",1]
["| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 |","| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Activation<br>Only | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.703 | 0.708 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.697 | 0.7 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.74 | 0.74 | 0.74 |\n| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.74 | 0.742 | 0.749 |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.751 | 0.751 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |\n| Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",0]
["| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.709 | 0.711 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.73 | 0.73 | 0.74 |\n| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.735 | 0.745 | 0.749 |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.75 | 0.75 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |","| Resnet-v1152 | 0.766 | 0.762 | 0.765 | 0.762 | 0.768 |\n| --- | --- | --- | --- | --- | --- |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",1]
["| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.709 | 0.711 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.73 | 0.73 | 0.74 |\n| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.735 | 0.745 | 0.749 |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.75 | 0.75 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |","| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |\n| --- | --- | --- | --- | --- | --- |\n| Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",0]
["| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 |\n| Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 |","| Methods | CDL | DFRV | LMKML | SSDML | SFDL | MDML | RRNN |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| YTC | 69.7±4.5 | 74.5±4.5 | 75.2±3.9 | 74.3±4.5 | 75.7±3.4 | 78.5±2.8 | 86.6±1.1 |\n| Year | 2012 | 2012 | 2013 | 2013 | 2014 | 2015 |  |",1]
["| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 |\n| Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 |","|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 |\n| Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 |\n| Methods | CDL | DFRV | LMKML | SSDML | SFDL | MDML | RRNN |","| YTC | 69.7±4.5 | 74.5±4.5 | 75.2±3.9 | 74.3±4.5 | 75.7±3.4 | 78.5±2.8 | 86.6±1.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Year | 2012 | 2012 | 2013 | 2013 | 2014 | 2015 |  |",1]
["| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 |\n| Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 |\n| Methods | CDL | DFRV | LMKML | SSDML | SFDL | MDML | RRNN |","| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["| NumberofUsers | 262,909 |\n| --- | --- |\n| NumberofServices | 39,520 |\n| NumberofServicesSold | 8,862 |","| TotalRevenue | $1,349,316 |\n| --- | --- |\n| AverageRevenueperservice | $152 |\n| AlexaGlobalRank | 12K |",1]
["| NumberofUsers | 262,909 |\n| --- | --- |\n| NumberofServices | 39,520 |\n| NumberofServicesSold | 8,862 |","|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| NumberofUsers | 262,909 |\n| --- | --- |\n| NumberofServices | 39,520 |","| NumberofServicesSold | 8,862 |\n| --- | --- |\n| TotalRevenue | $1,349,316 |\n| AverageRevenueperservice | $152 |\n| AlexaGlobalRank | 12K |",1]
["| NumberofUsers | 262,909 |\n| --- | --- |\n| NumberofServices | 39,520 |","| Numberofhapaxlegomena | 69,542 |\n| --- | --- |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Guardclass | Polygonclass |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Inclusion | Type | Simple | Ortho | Mono | Star |\n| Open | Edge | No | Yes | No | No |","| Diagonal | No | No | No | No |  |\n| --- | --- | --- | --- | --- | --- |\n| Mobile | No | Yes | Yes | Yes |  |\n| Closed | Edge | No | No | No | No |\n| Diagonal | No | No | No | No |  |\n| Mobile | No | No | No | ? |  |",1]
["| Guardclass | Polygonclass |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Inclusion | Type | Simple | Ortho | Mono | Star |\n| Open | Edge | No | Yes | No | No |","|  |  | GlobalKB | LocalKBs |  |\n| --- | --- | --- | --- | --- |\n| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |\n| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 |\n| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 |\n| 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 |\n| 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 |\n| 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 |",0]
["| Guardclass | Polygonclass |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Inclusion | Type | Simple | Ortho | Mono | Star |\n| Open | Edge | No | Yes | No | No |","| Diagonal | No | No | No | No |  |\n| --- | --- | --- | --- | --- | --- |\n| Mobile | No | Yes | Yes | Yes |  |\n| Closed | Edge | No | No | No | No |\n| Diagonal | No | No | No | No |  |\n| Mobile | No | No | No | ? |  |",1]
["| Guardclass | Polygonclass |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Inclusion | Type | Simple | Ortho | Mono | Star |\n| Open | Edge | No | Yes | No | No |","| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 |\n| --- | --- | --- | --- | --- |\n| 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 |\n| 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 |\n| 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 |",0]
["| MAP | Top-1 | Top-5 | Top-10 | Time |\n| --- | --- | --- | --- | --- |\n| GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s |\n| GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s |\n| GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s |","| SMT-Riemannian | 0.50 | 0.44 | 0.39 | 0.754s |\n| --- | --- | --- | --- | --- |\n| SMT-NormalKL | 0.53 | 0.44 | 0.39 | 0.125s |\n| SMT-Wasserstein | 0.59 | 0.51 | 0.46 | 9.04s |\n| SIFT-BoW-Euclidean | 0.43 | 0.37 | 0.32 | 0.0007s |",1]
["| MAP | Top-1 | Top-5 | Top-10 | Time |\n| --- | --- | --- | --- | --- |\n| GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s |\n| GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s |\n| GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s |","| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |\n| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| MAP | Top-1 | Top-5 | Top-10 | Time |\n| --- | --- | --- | --- | --- |\n| GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s |\n| GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s |\n| GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s |\n| SMT-Riemannian | 0.50 | 0.44 | 0.39 | 0.754s |","| SMT-NormalKL | 0.53 | 0.44 | 0.39 | 0.125s |\n| --- | --- | --- | --- | --- |\n| SMT-Wasserstein | 0.59 | 0.51 | 0.46 | 9.04s |\n| SIFT-BoW-Euclidean | 0.43 | 0.37 | 0.32 | 0.0007s |",1]
["| MAP | Top-1 | Top-5 | Top-10 | Time |\n| --- | --- | --- | --- | --- |\n| GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s |\n| GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s |\n| GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s |\n| SMT-Riemannian | 0.50 | 0.44 | 0.39 | 0.754s |","| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| Ruleno. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c(t)i−2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| c(t)i−1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| c(t)i | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 |\n| c(t)i+1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |\n| c(t+1)i | 0/1 | 0/1 | 0/1 | 1/1 | 0/0.35,<br>1/0.65 | 0/0.2,<br>1/0.8 | 0/0.5,<br>1/0.5 | 1/1 |\n| Ruleno. | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |\n| c(t)i−2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| c(t)i−1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |","| c(t)i | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c(t)i+1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |\n| c(t+1)i | 0/0.75,<br>1/0.25 | 0/0.75,<br>1/0.25 | 0/0.8,<br>1/0.2 | 1/1 | 0/0.5,<br>1/0.5 | 0/0.5,<br>1/0.5 | 0/0.3,<br>1/0.7 | 1/1 |",1]
["| Ruleno. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c(t)i−2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| c(t)i−1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| c(t)i | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 |\n| c(t)i+1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |\n| c(t+1)i | 0/1 | 0/1 | 0/1 | 1/1 | 0/0.35,<br>1/0.65 | 0/0.2,<br>1/0.8 | 0/0.5,<br>1/0.5 | 1/1 |\n| Ruleno. | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |\n| c(t)i−2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| c(t)i−1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |","|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |\n| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |\n| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["| Ruleno. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c(t)i−2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| c(t)i−1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| c(t)i | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 |","| c(t)i+1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c(t+1)i | 0/1 | 0/1 | 0/1 | 1/1 | 0/0.35,<br>1/0.65 | 0/0.2,<br>1/0.8 | 0/0.5,<br>1/0.5 | 1/1 |\n| Ruleno. | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 |\n| c(t)i−2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| c(t)i−1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| c(t)i | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 |\n| c(t)i+1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 1 |\n| c(t+1)i | 0/0.75,<br>1/0.25 | 0/0.75,<br>1/0.25 | 0/0.8,<br>1/0.2 | 1/1 | 0/0.5,<br>1/0.5 | 0/0.5,<br>1/0.5 | 0/0.3,<br>1/0.7 | 1/1 |",1]
["| Ruleno. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c(t)i−2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| c(t)i−1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n| c(t)i | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 |","| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Branch | Mean | Stdev | Mean | Stdev | ActualCL |\n| Low | 25 | 87.27 | 6.98 | 82.4 | 7.62 | 98.76 |","| Medium | 50 | 79.33 | 6.99 | 75 | 5.82 | 98.84 |\n| --- | --- | --- | --- | --- | --- | --- |\n| High | 100 | 76.57 | 8.25 | 73 | 5.76 | 94.32 |",1]
["|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Branch | Mean | Stdev | Mean | Stdev | ActualCL |\n| Low | 25 | 87.27 | 6.98 | 82.4 | 7.62 | 98.76 |","|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Stmt | Mean | Stdev | Mean | Stdev | ActualCL |\n| Low | 75 | 95.87 | 12.13 | 93.87 | 13.95 | 44.42 |\n| Medium | 150 | 96.12 | 8.74 | 94.73 | 8.98 | 45.41 |\n| High | 300 | 95.39 | 5.63 | 94.13 | 6.16 | 58.84 |",0]
["|  |  | TestSearchTechnique |  |  |\n| --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |","| Cmplx | Branch | Mean | Stdev | Mean | Stdev | ActualCL |\n| --- | --- | --- | --- | --- | --- | --- |\n| Low | 25 | 87.27 | 6.98 | 82.4 | 7.62 | 98.76 |\n| Medium | 50 | 79.33 | 6.99 | 75 | 5.82 | 98.84 |\n| High | 100 | 76.57 | 8.25 | 73 | 5.76 | 94.32 |",1]
["|  |  | TestSearchTechnique |  |  |\n| --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |","| Cmplx | Stmt | Mean | Stdev | Mean | Stdev | ActualCL |\n| --- | --- | --- | --- | --- | --- | --- |\n| Low | 75 | 95.87 | 12.13 | 93.87 | 13.95 | 44.42 |\n| Medium | 150 | 96.12 | 8.74 | 94.73 | 8.98 | 45.41 |\n| High | 300 | 95.39 | 5.63 | 94.13 | 6.16 | 58.84 |",0]
["| SerialNo. | FastText-300D | Algo-150D | Glove-100D | Algo-50D | Glove-200D | Algo-100D |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 66.89 | 67.29 | 58.05 | 58.85 | 62.12 | 61.99 |\n| 2 | 78.12 | 77.40 | 60.35 | 66.27 | 62.91 | 68.43 |\n| 3 | 67.93 | 66.17 | 61.93 | 64.09 | 61.99 | 63.55 |\n| 4 | 39.73 | 34.24 | 30.23 | 33.04 | 28.45 | 36.82 |\n| 5 | 73.69 | 73.16 | 52.90 | 62.05 | 57.42 | 65.41 |\n| 6 | 48.66 | 47.19 | 36.64 | 36.64 | 38.95 | 39.80 |\n| 7 | 76.37 | 76.36 | 68.09 | 70.93 | 71.01 | 74.44 |\n| 8 | 79.74 | 80.95 | 69.07 | 64.56 | 71.26 | 71.53 |","| 9 | 81.23 | 86.41 | 62.71 | 68.79 | 66.56 | 69.83 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 38.03 | 35.47 | 29.75 | 29.13 | 34.03 | 34.19 |\n| 11 | 68.21 | 69.96 | 49.55 | 59.55 | 54.48 | 61.56 |\n| 12 | 53.33 | 50.90 | 45.43 | 41.95 | 52.21 | 49.94 |",1]
["| SerialNo. | FastText-300D | Algo-150D | Glove-100D | Algo-50D | Glove-200D | Algo-100D |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 66.89 | 67.29 | 58.05 | 58.85 | 62.12 | 61.99 |\n| 2 | 78.12 | 77.40 | 60.35 | 66.27 | 62.91 | 68.43 |\n| 3 | 67.93 | 66.17 | 61.93 | 64.09 | 61.99 | 63.55 |\n| 4 | 39.73 | 34.24 | 30.23 | 33.04 | 28.45 | 36.82 |\n| 5 | 73.69 | 73.16 | 52.90 | 62.05 | 57.42 | 65.41 |\n| 6 | 48.66 | 47.19 | 36.64 | 36.64 | 38.95 | 39.80 |\n| 7 | 76.37 | 76.36 | 68.09 | 70.93 | 71.01 | 74.44 |\n| 8 | 79.74 | 80.95 | 69.07 | 64.56 | 71.26 | 71.53 |","|  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bonefull | 95 | 70 | 85 | 85 | 90 | 85 | 85 | 85 | 70 | 75 |\n| Heart | 100 | 100 | 100 | 100 | 100 | 100 | 95 | 95 | 95 | 100 |\n| Glas | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 90 | 100 | 95 |\n| Fountain | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| Key | 100 | 100 | 95 | 100 | 95 | 95 | 90 | 90 | 95 | 95 |\n| Fork | 95 | 90 | 65 | 70 | 65 | 75 | 65 | 75 | 70 | 60 |\n| Hammerfull | 95 | 95 | 80 | 30 | 30 | 35 | 30 | 40 | 35 | 15 |",0]
["| SerialNo. | FastText-300D | Algo-150D | Glove-100D | Algo-50D | Glove-200D | Algo-100D |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 66.89 | 67.29 | 58.05 | 58.85 | 62.12 | 61.99 |\n| 2 | 78.12 | 77.40 | 60.35 | 66.27 | 62.91 | 68.43 |\n| 3 | 67.93 | 66.17 | 61.93 | 64.09 | 61.99 | 63.55 |\n| 4 | 39.73 | 34.24 | 30.23 | 33.04 | 28.45 | 36.82 |\n| 5 | 73.69 | 73.16 | 52.90 | 62.05 | 57.42 | 65.41 |\n| 6 | 48.66 | 47.19 | 36.64 | 36.64 | 38.95 | 39.80 |","| 7 | 76.37 | 76.36 | 68.09 | 70.93 | 71.01 | 74.44 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | 79.74 | 80.95 | 69.07 | 64.56 | 71.26 | 71.53 |\n| 9 | 81.23 | 86.41 | 62.71 | 68.79 | 66.56 | 69.83 |\n| 10 | 38.03 | 35.47 | 29.75 | 29.13 | 34.03 | 34.19 |\n| 11 | 68.21 | 69.96 | 49.55 | 59.55 | 54.48 | 61.56 |\n| 12 | 53.33 | 50.90 | 45.43 | 41.95 | 52.21 | 49.94 |",1]
["| SerialNo. | FastText-300D | Algo-150D | Glove-100D | Algo-50D | Glove-200D | Algo-100D |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 66.89 | 67.29 | 58.05 | 58.85 | 62.12 | 61.99 |\n| 2 | 78.12 | 77.40 | 60.35 | 66.27 | 62.91 | 68.43 |\n| 3 | 67.93 | 66.17 | 61.93 | 64.09 | 61.99 | 63.55 |\n| 4 | 39.73 | 34.24 | 30.23 | 33.04 | 28.45 | 36.82 |\n| 5 | 73.69 | 73.16 | 52.90 | 62.05 | 57.42 | 65.41 |\n| 6 | 48.66 | 47.19 | 36.64 | 36.64 | 38.95 | 39.80 |","| Glas | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 90 | 100 | 95 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fountain | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| Key | 100 | 100 | 95 | 100 | 95 | 95 | 90 | 90 | 95 | 95 |\n| Fork | 95 | 90 | 65 | 70 | 65 | 75 | 65 | 75 | 70 | 60 |\n| Hammerfull | 95 | 95 | 80 | 30 | 30 | 35 | 30 | 40 | 35 | 15 |",0]
["| 30-90GPR | Statistics | GPR | Statistics+<br>GPR | Interpolation |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM |  |\n| Fold-1 | 0.5952 | 0.4450 | 0.7526 | 0.7465 | 0.8950 | 0.8643 | 0.9258 | 0.8443 | 0.8762 | 0.8858 |\n| Fold-2 | 0.5918 | 0.4368 | 0.6927 | 0.6632 | 0.8451 | 0.8450 | 0.9446 | 0.9151 | 0.7343 | 0.8162 |","| Fold-3 | 0.5143 | 0.4313 | 0.7427 | 0.8151 | 0.9077 | 0.8732 | 0.9178 | 0.9065 | 0.8976 | 0.9183 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fold-4 | 0.5970 | 0.4121 | 0.7142 | 0.7245 | 0.8850 | 0.8757 | 0.8542 | 0.8958 | 0.8164 | 0.8234 |\n| Fold-5 | 0.5633 | 0.4343 | 0.6561 | 0.6390 | 0.8955 | 0.8655 | 0.8645 | 0.8658 | 0.8792 | 0.9046 |\n| Average | 0.5723 | 0.4319 | 0.7116 | 0.7176 | 0.8856 | 0.8647 | 0.9013 | 0.8855 | 0.8407 | 0.8696 |",1]
["| 30-90GPR | Statistics | GPR | Statistics+<br>GPR | Interpolation |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM |  |\n| Fold-1 | 0.5952 | 0.4450 | 0.7526 | 0.7465 | 0.8950 | 0.8643 | 0.9258 | 0.8443 | 0.8762 | 0.8858 |\n| Fold-2 | 0.5918 | 0.4368 | 0.6927 | 0.6632 | 0.8451 | 0.8450 | 0.9446 | 0.9151 | 0.7343 | 0.8162 |","| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["| 30-90GPR | Statistics | GPR | Statistics+<br>GPR | Interpolation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM |","| Fold-1 | 0.5952 | 0.4450 | 0.7526 | 0.7465 | 0.8950 | 0.8643 | 0.9258 | 0.8443 | 0.8762 | 0.8858 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fold-2 | 0.5918 | 0.4368 | 0.6927 | 0.6632 | 0.8451 | 0.8450 | 0.9446 | 0.9151 | 0.7343 | 0.8162 |\n| Fold-3 | 0.5143 | 0.4313 | 0.7427 | 0.8151 | 0.9077 | 0.8732 | 0.9178 | 0.9065 | 0.8976 | 0.9183 |\n| Fold-4 | 0.5970 | 0.4121 | 0.7142 | 0.7245 | 0.8850 | 0.8757 | 0.8542 | 0.8958 | 0.8164 | 0.8234 |\n| Fold-5 | 0.5633 | 0.4343 | 0.6561 | 0.6390 | 0.8955 | 0.8655 | 0.8645 | 0.8658 | 0.8792 | 0.9046 |\n| Average | 0.5723 | 0.4319 | 0.7116 | 0.7176 | 0.8856 | 0.8647 | 0.9013 | 0.8855 | 0.8407 | 0.8696 |",1]
["| 30-90GPR | Statistics | GPR | Statistics+<br>GPR | Interpolation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM | K-NN | SVM |","| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["| Program(n) | StartGraph<br>(nodes/edges) | FinalGraph<br>(nodes/edges) | LTLDeadlock |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DPE(2)<br>DPE(5) | 326/496<br>326/496 | 362/582<br>389/653 | 1.10<br>32.37 | 824/838<br>20,428/20,906 | 1.18<br>29.10 | 824/838<br>20,428/20,906 |\n| DPB(2)<br>DPB(5) | 322/488<br>322/488 | 378/644<br>447/836 | 0.84<br>175 | 708/712<br>74,942/77,378 | 1.33<br>204 | 1,108/1,134<br>122,714/127,425 |\n| PC(5)<br>PC(20) | 371/563<br>371/563 | 393/621<br>393/621 | 3.51<br>12.98 | 2,152/2,194<br>8,362/8,539 | 3.30<br>12.84 | 2,152/2,194<br>8,362/8,539 |","| DS(2,2,2)<br>DS(2,3,2)<br>DS(2,4,1) | 440/668<br>441/668<br>441/668 | 470/749<br>478/769<br>486/789 | 11.48<br>388<br>2,448 | 5,976/6,081<br>103,190/106,260<br>396,011/414,462 | 10.82<br>256<br>941 | 5,976/6,081<br>103,190/106,260<br>306,401/319,018 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CS | 559/866 | 608/1000 | 417 | 65,275/70,008 | 370 | 65,275/70,008 |",1]
["| Program(n) | StartGraph<br>(nodes/edges) | FinalGraph<br>(nodes/edges) | LTLDeadlock |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DPE(2)<br>DPE(5) | 326/496<br>326/496 | 362/582<br>389/653 | 1.10<br>32.37 | 824/838<br>20,428/20,906 | 1.18<br>29.10 | 824/838<br>20,428/20,906 |\n| DPB(2)<br>DPB(5) | 322/488<br>322/488 | 378/644<br>447/836 | 0.84<br>175 | 708/712<br>74,942/77,378 | 1.33<br>204 | 1,108/1,134<br>122,714/127,425 |\n| PC(5)<br>PC(20) | 371/563<br>371/563 | 393/621<br>393/621 | 3.51<br>12.98 | 2,152/2,194<br>8,362/8,539 | 3.30<br>12.84 | 2,152/2,194<br>8,362/8,539 |","| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| Program(n) | StartGraph<br>(nodes/edges) | FinalGraph<br>(nodes/edges) | LTLDeadlock |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DPE(2)<br>DPE(5) | 326/496<br>326/496 | 362/582<br>389/653 | 1.10<br>32.37 | 824/838<br>20,428/20,906 | 1.18<br>29.10 | 824/838<br>20,428/20,906 |\n| DPB(2)<br>DPB(5) | 322/488<br>322/488 | 378/644<br>447/836 | 0.84<br>175 | 708/712<br>74,942/77,378 | 1.33<br>204 | 1,108/1,134<br>122,714/127,425 |","| PC(5)<br>PC(20) | 371/563<br>371/563 | 393/621<br>393/621 | 3.51<br>12.98 | 2,152/2,194<br>8,362/8,539 | 3.30<br>12.84 | 2,152/2,194<br>8,362/8,539 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DS(2,2,2)<br>DS(2,3,2)<br>DS(2,4,1) | 440/668<br>441/668<br>441/668 | 470/749<br>478/769<br>486/789 | 11.48<br>388<br>2,448 | 5,976/6,081<br>103,190/106,260<br>396,011/414,462 | 10.82<br>256<br>941 | 5,976/6,081<br>103,190/106,260<br>306,401/319,018 |\n| CS | 559/866 | 608/1000 | 417 | 65,275/70,008 | 370 | 65,275/70,008 |",1]
["| Program(n) | StartGraph<br>(nodes/edges) | FinalGraph<br>(nodes/edges) | LTLDeadlock |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DPE(2)<br>DPE(5) | 326/496<br>326/496 | 362/582<br>389/653 | 1.10<br>32.37 | 824/838<br>20,428/20,906 | 1.18<br>29.10 | 824/838<br>20,428/20,906 |\n| DPB(2)<br>DPB(5) | 322/488<br>322/488 | 378/644<br>447/836 | 0.84<br>175 | 708/712<br>74,942/77,378 | 1.33<br>204 | 1,108/1,134<br>122,714/127,425 |","| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| --- | --- | --- | --- |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |",0]
["| R | rs | R |\n| --- | --- | --- |\n| 0.725 | 0.848 | 0.727 |","| 0.626 | 0.869 | 0.621 |\n| --- | --- | --- |\n| 0.723 | 0.818 | 0.727 |\n| 0.616 | 0.864 | 0.611 |\n| 0.211 | 0.757 | 0.204 |",1]
["| R | rs | R |\n| --- | --- | --- |\n| 0.725 | 0.848 | 0.727 |","| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 |\n| 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",0]
["| R | rs | R |\n| --- | --- | --- |\n| 0.725 | 0.848 | 0.727 |","| 0.626 | 0.869 | 0.621 |\n| --- | --- | --- |\n| 0.723 | 0.818 | 0.727 |\n| 0.616 | 0.864 | 0.611 |\n| 0.211 | 0.757 | 0.204 |",1]
["| R | rs | R |\n| --- | --- | --- |\n| 0.725 | 0.848 | 0.727 |","| 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |\n| --- | --- | --- | --- | --- |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",0]
["| p | base | k=0 | k=1 | k=2 | k=3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Random<br>MNIST[458] | -<br>73.07 | -<br>73.91 | -<br>76.37 | 55.61<br>77.52 |\n| 3 | Random<br>MNIST[458] | -<br>83.61 | -<br>87.2 | -<br>85.7 | 73.34<br>87.6 |\n| 5 | Random<br>MNIST[458] | -<br>90.98 | -<br>92.98 | -<br>92.6 | 83.32<br>92.07 |\n| 10 | Random<br>MNIST[458] | -<br>91.55 | -<br>93.71 | -<br>93.82 | 81.31<br>95.08 |","| 20 | Random<br>MNIST[458] | -<br>95.52 | -<br>95.52 | -<br>97.07 | 87.77<br>96.78 |\n| --- | --- | --- | --- | --- | --- |\n| 30 | Random<br>MNIST[458] | -<br>96.5 | -<br>97.34 | -<br>97.35 | 88.62<br>97.45 |\n| 50 | Random<br>MNIST[458] | -<br>96.38 | -<br>97.40 | -<br>97.71 | 90.78<br>97.38 |",1]
["| p | base | k=0 | k=1 | k=2 | k=3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Random<br>MNIST[458] | -<br>73.07 | -<br>73.91 | -<br>76.37 | 55.61<br>77.52 |\n| 3 | Random<br>MNIST[458] | -<br>83.61 | -<br>87.2 | -<br>85.7 | 73.34<br>87.6 |\n| 5 | Random<br>MNIST[458] | -<br>90.98 | -<br>92.98 | -<br>92.6 | 83.32<br>92.07 |\n| 10 | Random<br>MNIST[458] | -<br>91.55 | -<br>93.71 | -<br>93.82 | 81.31<br>95.08 |","| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |\n| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| p | base | k=0 | k=1 | k=2 | k=3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Random<br>MNIST[458] | -<br>73.07 | -<br>73.91 | -<br>76.37 | 55.61<br>77.52 |\n| 3 | Random<br>MNIST[458] | -<br>83.61 | -<br>87.2 | -<br>85.7 | 73.34<br>87.6 |\n| 5 | Random<br>MNIST[458] | -<br>90.98 | -<br>92.98 | -<br>92.6 | 83.32<br>92.07 |\n| 10 | Random<br>MNIST[458] | -<br>91.55 | -<br>93.71 | -<br>93.82 | 81.31<br>95.08 |","| 20 | Random<br>MNIST[458] | -<br>95.52 | -<br>95.52 | -<br>97.07 | 87.77<br>96.78 |\n| --- | --- | --- | --- | --- | --- |\n| 30 | Random<br>MNIST[458] | -<br>96.5 | -<br>97.34 | -<br>97.35 | 88.62<br>97.45 |\n| 50 | Random<br>MNIST[458] | -<br>96.38 | -<br>97.40 | -<br>97.71 | 90.78<br>97.38 |",1]
["| p | base | k=0 | k=1 | k=2 | k=3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | Random<br>MNIST[458] | -<br>73.07 | -<br>73.91 | -<br>76.37 | 55.61<br>77.52 |\n| 3 | Random<br>MNIST[458] | -<br>83.61 | -<br>87.2 | -<br>85.7 | 73.34<br>87.6 |\n| 5 | Random<br>MNIST[458] | -<br>90.98 | -<br>92.98 | -<br>92.6 | 83.32<br>92.07 |\n| 10 | Random<br>MNIST[458] | -<br>91.55 | -<br>93.71 | -<br>93.82 | 81.31<br>95.08 |","| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| --- | --- | --- | --- | --- |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |\n| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |\n| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |","| BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |\n| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 |",1]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |\n| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |\n| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 39 | 96 | 82 | 0.289 | 0.322 | 0.305 |\n| 8024 | 96 | 29 | 10 | 0.768 | 0.906 | 0.831 |\n| 8386 | 114 | 5 | 4 | 0.958 | 0.966 | 0.962 |\n| 8401 | 30 | 8 | 1 | 0.789 | 0.968 | 0.87 |\n| 10558a | 125 | 1 | 5 | 0.992 | 0.962 | 0.977 |\n| 23585a | 159 | 8 | 6 | 0.952 | 0.964 | 0.958 |\n| 23585b | 103 | 4 | 1 | 0.963 | 0.99 | 0.976 |\n| 34921a | 71 | 6 | 4 | 0.922 | 0.947 | 0.934 |\n| 34921b | 91 | 11 | 8 | 0.892 | 0.919 | 0.905 |\n| 36553 | 202 | 26 | 12 | 0.886 | 0.944 | 0.914 |\n| 50009 | 53 | 29 | 5 | 0.646 | 0.914 | 0.757 |\n| 50028 | 89 | 18 | 4 | 0.832 | 0.957 | 0.89 |\n| UGS01 | 171 | 12 | 5 | 0.934 | 0.972 | 0.953 |\n| UGS04 | 222 | 15 | 1 | 0.937 | 0.996 | 0.965 |\n| UGS05 | 26 | 21 | 4 | 0.553 | 0.867 | 0.675 |\n| UGS09 | 176 | 17 | 17 | 0.912 | 0.912 | 0.912 |\n| Total | 1827 | 313 | 173 | 0.854 | 0.913 | 0.883 |",0]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |\n| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |\n| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |","| BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |\n| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 |",1]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |\n| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |\n| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |","| 50028 | 89 | 18 | 4 | 0.832 | 0.957 | 0.89 |\n| --- | --- | --- | --- | --- | --- | --- |\n| UGS01 | 171 | 12 | 5 | 0.934 | 0.972 | 0.953 |\n| UGS04 | 222 | 15 | 1 | 0.937 | 0.996 | 0.965 |\n| UGS05 | 26 | 21 | 4 | 0.553 | 0.867 | 0.675 |\n| UGS09 | 176 | 17 | 17 | 0.912 | 0.912 | 0.912 |\n| Total | 1827 | 313 | 173 | 0.854 | 0.913 | 0.883 |",0]
["| DenseConvEncoder | DenseConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |","| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| --- | --- | --- | --- |\n| 32×32×32 | DBE(32,6) | 4×4×256 | DBD(256,16) |\n| 16×16×64 | TBE(32,64,2) | 8×8×128 | TBD(256,128) |\n| 16×16×64 | DBE(64,12) | 8×8×128 | DBD(128,24) |\n| 8×8×128 | TBE(64,128,2) | 16×16×64 | TBD(128,64) |\n| 8×8×128 | DBE(128,24) | 16×16×64 | DBD(64,12) |\n| 4×4×256 | TBE(128,256,2) | 32×32×32 | TBD(64,32) |\n| 4×4×256 | DBE(256,16) | 32×32×32 | DBD(32,6) |\n| Nz | TBE(256,Nz,4) | 64×64×32 | TBD(32,32) |\n|  |  | 64×64×Nc | 3×3ConvT()Nc |",1]
["| DenseConvEncoder | DenseConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |","| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| DenseConvEncoder | DenseConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |","| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| --- | --- | --- | --- |\n| 32×32×32 | DBE(32,6) | 4×4×256 | DBD(256,16) |\n| 16×16×64 | TBE(32,64,2) | 8×8×128 | TBD(256,128) |\n| 16×16×64 | DBE(64,12) | 8×8×128 | DBD(128,24) |\n| 8×8×128 | TBE(64,128,2) | 16×16×64 | TBD(128,64) |\n| 8×8×128 | DBE(128,24) | 16×16×64 | DBD(64,12) |\n| 4×4×256 | TBE(128,256,2) | 32×32×32 | TBD(64,32) |\n| 4×4×256 | DBE(256,16) | 32×32×32 | DBD(32,6) |\n| Nz | TBE(256,Nz,4) | 64×64×32 | TBD(32,32) |\n|  |  | 64×64×Nc | 3×3ConvT()Nc |",1]
["| DenseConvEncoder | DenseConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |","| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n| --- | --- | --- | --- |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["|  | CoreI7<br>4770R | CoreI7<br>4960HQ | CoreI7<br>4600U | XeonE5<br>2697v2 | XeonE3<br>1230Lv3 |\n| --- | --- | --- | --- | --- | --- |\n| fft | 3400<br>62.27 | 3450<br>45.03 | 7850<br>14.37 | 1850<br>124.54 | 4800<br>23.95 |","| c-ray | 1150<br>33.70 | 1200<br>24.37 | 2700<br>7.78 | 650<br>67.41 | 1650<br>12.96 |\n| --- | --- | --- | --- | --- | --- |\n| abinit | 1700<br>36.11 | 1750<br>26.11 | 3950<br>8.33 | 950<br>72.22 | 2450<br>13.89 |\n| linpack | 3350<br>53.81 | 3400<br>38.91 | 7700<br>12.42 | 1850<br>107.61 | 4750<br>20.69 |\n| tar | 2000<br>50.92 | 2050<br>36.82 | 4600<br>11.75 | 1100<br>101.83 | 2800<br>19.58 |",1]
["|  | CoreI7<br>4770R | CoreI7<br>4960HQ | CoreI7<br>4600U | XeonE5<br>2697v2 | XeonE3<br>1230Lv3 |\n| --- | --- | --- | --- | --- | --- |\n| fft | 3400<br>62.27 | 3450<br>45.03 | 7850<br>14.37 | 1850<br>124.54 | 4800<br>23.95 |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 59.7<br>40.7<br>32.1<br>29.5<br>27.0 | 3257.2<br>744.0<br>325.7<br>199.2<br>140.7 | 1049774<br>1049813<br>1050066<br>1049869<br>1049849 | 6.62<br>6.62<br>6.62<br>6.62<br>6.62 | 342.3<br>343.5<br>343.4<br>345.9<br>345.4 | 100.73<br>101.26<br>101.73<br>102.07<br>102.29 | 0.279<br>0.255<br>0.235<br>0.219<br>0.205 | 2.213<br>2.189<br>2.173<br>2.163<br>2.155 | 7.66<br>7.56<br>7.46<br>7.45<br>7.34 | 9.3<br>9.1<br>9.0<br>9.0<br>9.0 | 7.43<br>7.33<br>7.25<br>7.24<br>7.15 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",0]
["|  | CoreI7<br>4770R | CoreI7<br>4960HQ | CoreI7<br>4600U | XeonE5<br>2697v2 | XeonE3<br>1230Lv3 |\n| --- | --- | --- | --- | --- | --- |\n| fft | 3400<br>62.27 | 3450<br>45.03 | 7850<br>14.37 | 1850<br>124.54 | 4800<br>23.95 |\n| c-ray | 1150<br>33.70 | 1200<br>24.37 | 2700<br>7.78 | 650<br>67.41 | 1650<br>12.96 |\n| abinit | 1700<br>36.11 | 1750<br>26.11 | 3950<br>8.33 | 950<br>72.22 | 2450<br>13.89 |","| linpack | 3350<br>53.81 | 3400<br>38.91 | 7700<br>12.42 | 1850<br>107.61 | 4750<br>20.69 |\n| --- | --- | --- | --- | --- | --- |\n| tar | 2000<br>50.92 | 2050<br>36.82 | 4600<br>11.75 | 1100<br>101.83 | 2800<br>19.58 |",1]
["|  | CoreI7<br>4770R | CoreI7<br>4960HQ | CoreI7<br>4600U | XeonE5<br>2697v2 | XeonE3<br>1230Lv3 |\n| --- | --- | --- | --- | --- | --- |\n| fft | 3400<br>62.27 | 3450<br>45.03 | 7850<br>14.37 | 1850<br>124.54 | 4800<br>23.95 |\n| c-ray | 1150<br>33.70 | 1200<br>24.37 | 2700<br>7.78 | 650<br>67.41 | 1650<br>12.96 |\n| abinit | 1700<br>36.11 | 1750<br>26.11 | 3950<br>8.33 | 950<br>72.22 | 2450<br>13.89 |","| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",0]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |","| 3 | Cor.40wks | LOSO5,NBS12 |\n| --- | --- | --- |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |\n|  | Imageset | Experiment |\n| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |\n| 3 | Cor.40wks | LOSO5,NBS12 |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |",1]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |","| Model | Still-image | +MGP | +MGP<br>+MCS | +MGP+MCS<br>+Rescoring | Model<br>Combination | TestSet |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 67.7 | 68.7 | 72.4 | 73.6 | 73.8 | 67.8 |\n| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 |  |  |\n| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |\n| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 |  |  |",0]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |\n| 3 | Cor.40wks | LOSO5,NBS12 |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |\n|  | Imageset | Experiment |","| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |\n| --- | --- | --- |\n| 3 | Cor.40wks | LOSO5,NBS12 |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |",1]
["|  | Imageset | Experiment |\n| --- | --- | --- |\n| 1<br>2 | Cor.30wks | 5training,5test<br>LOSO10,NBS12 |\n| 3 | Cor.40wks | LOSO5,NBS12 |\n| 4<br>5 | Ax.40wks | LOSO7<br>LOSO7,NBS12 |\n| 6 | Ageingadults | 5training,15test |\n| 7<br>8 | Youngadults | 5training,10test<br>15training,20test |\n|  | Imageset | Experiment |","| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |\n| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 |  |  |",0]
["| Window# | HR | HRV | StressIndex |\n| --- | --- | --- | --- |\n| 1 | 138.5 | 107.53 | 0.1 |","| 2 | 143.3 | 105.00 | 0.2 |\n| --- | --- | --- | --- |\n| 3 | 147.3 | 104.59 | 0.3 |\n| 4 | 148.73 | 98.86 | 0.4 |\n| 5 | 148.3 | 97.02 | 0.5 |\n| 6 | 143.3 | 98.47 | 0.4 |",1]
["| Window# | HR | HRV | StressIndex |\n| --- | --- | --- | --- |\n| 1 | 138.5 | 107.53 | 0.1 |","| CS |\n| --- |\n| 38.6 |\n| 50.1 |\n| 60.2 |\n| 59.1 |\n| 62.9 |\n| 69.2 |\n| 73.4 |\n| 74.4 |\n| 74.6 |\n| 79.6 |\n| 80.0 |\n| 77.0 |\n| 79.8 |\n| 87.9 |\n| 88.4 |\n| 89.1 |",0]
["| Window# | HR | HRV | StressIndex |\n| --- | --- | --- | --- |\n| 1 | 138.5 | 107.53 | 0.1 |","| 2 | 143.3 | 105.00 | 0.2 |\n| --- | --- | --- | --- |\n| 3 | 147.3 | 104.59 | 0.3 |\n| 4 | 148.73 | 98.86 | 0.4 |\n| 5 | 148.3 | 97.02 | 0.5 |\n| 6 | 143.3 | 98.47 | 0.4 |",1]
["| Window# | HR | HRV | StressIndex |\n| --- | --- | --- | --- |\n| 1 | 138.5 | 107.53 | 0.1 |","| 77.0 |\n| --- |\n| 79.8 |\n| 87.9 |\n| 88.4 |\n| 89.1 |",0]
["|  | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| groupA | 539.80 | 832.25 | 3325.25 | 707.00 |","| groupB | 172.00 | 877.00 | 3519.00 | 840.00 |\n| --- | --- | --- | --- | --- |\n| groupC | 359.50 | 2173.75 | 5629.25 | 1240.00 |\n| groupD | 255.33 | 960.67 | 3689.00 | 869.33 |",1]
["|  | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| groupA | 539.80 | 832.25 | 3325.25 | 707.00 |","| Query | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| NG1 | 590 | 2489 | 10056 | 2475 |\n| NG2 | 3 | 10 | 24 | 11 |\n| NG3 | 63 | 128 | 256 | 248 |\n| NG4 | 1839 | N/A | N/A | N/A |\n| NG5 | 204 | 702 | 2965 | 94 |\n| NG6 | 355 | 2474 | 10225 | 2242 |\n| NG7 | 19 | 33 | 76 | 37 |\n| NG8 | 142 | 124 | 256 | 241 |\n| NG11 | 637 | 2645 | 10406 | 2269 |\n| NG12 | 17 | 36 | 79 | 37 |\n| NG13 | 64 | 128 | 265 | 241 |\n| NG14 | 720 | 5886 | 11777 | 2413 |\n| NG15 | 678 | 2714 | 10696 | 2334 |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",0]
["|  | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| groupA | 539.80 | 832.25 | 3325.25 | 707.00 |","| groupB | 172.00 | 877.00 | 3519.00 | 840.00 |\n| --- | --- | --- | --- | --- |\n| groupC | 359.50 | 2173.75 | 5629.25 | 1240.00 |\n| groupD | 255.33 | 960.67 | 3689.00 | 869.33 |",1]
["|  | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| groupA | 539.80 | 832.25 | 3325.25 | 707.00 |","| NG15 | 678 | 2714 | 10696 | 2334 |\n| --- | --- | --- | --- | --- |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",0]
["| Dataset | 1DSfM | LUD | Bundler | L1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BA | Σ | BA | Σ | Σ | BA | Σ |  |\n| Alamo | 752 | 910 | 133 | 750 | 1654 | 362 | 621 |\n| EllisIsland | 139 | 171 | - | - | 1191 | 64 | 95 |\n| MontrealN.D. | 1135 | 1249 | 167 | 553 | 2710 | 226 | 351 |\n| NotreDame | 1445 | 1599 | 126 | 1047 | 6154 | 793 | 1159 |\n| NYCLibrary | 392 | 468 | 54 | 200 | 3807 | 48 | 90 |","| PiazzadelPopolo | 191 | 249 | 31 | 162 | 1287 | 93 | 144 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TowerofLondon | 606 | 648 | 86 | 228 | 1900 | 121 | 221 |\n| ViennaCathedral | 2837 | 3139 | 208 | 1467 | 10276 | 717 | 959 |\n| Yorkminster | 777 | 899 | 148 | 297 | 3225 | 63 | 108 |",1]
["| Dataset | 1DSfM | LUD | Bundler | L1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BA | Σ | BA | Σ | Σ | BA | Σ |  |\n| Alamo | 752 | 910 | 133 | 750 | 1654 | 362 | 621 |\n| EllisIsland | 139 | 171 | - | - | 1191 | 64 | 95 |\n| MontrealN.D. | 1135 | 1249 | 167 | 553 | 2710 | 226 | 351 |\n| NotreDame | 1445 | 1599 | 126 | 1047 | 6154 | 793 | 1159 |\n| NYCLibrary | 392 | 468 | 54 | 200 | 3807 | 48 | 90 |","| Dataset | c(EXIF,mm)err |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |  |\n| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |\n| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["| Dataset | 1DSfM | LUD | Bundler | L1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BA | Σ | BA | Σ | Σ | BA | Σ |  |\n| Alamo | 752 | 910 | 133 | 750 | 1654 | 362 | 621 |\n| EllisIsland | 139 | 171 | - | - | 1191 | 64 | 95 |\n| MontrealN.D. | 1135 | 1249 | 167 | 553 | 2710 | 226 | 351 |\n| NotreDame | 1445 | 1599 | 126 | 1047 | 6154 | 793 | 1159 |","| NYCLibrary | 392 | 468 | 54 | 200 | 3807 | 48 | 90 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PiazzadelPopolo | 191 | 249 | 31 | 162 | 1287 | 93 | 144 |\n| TowerofLondon | 606 | 648 | 86 | 228 | 1900 | 121 | 221 |\n| ViennaCathedral | 2837 | 3139 | 208 | 1467 | 10276 | 717 | 959 |\n| Yorkminster | 777 | 899 | 148 | 297 | 3225 | 63 | 108 |",1]
["| Dataset | 1DSfM | LUD | Bundler | L1 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BA | Σ | BA | Σ | Σ | BA | Σ |  |\n| Alamo | 752 | 910 | 133 | 750 | 1654 | 362 | 621 |\n| EllisIsland | 139 | 171 | - | - | 1191 | 64 | 95 |\n| MontrealN.D. | 1135 | 1249 | 167 | 553 | 2710 | 226 | 351 |\n| NotreDame | 1445 | 1599 | 126 | 1047 | 6154 | 793 | 1159 |","| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["| Episode | STG | NW | SDN | Ours |\n| --- | --- | --- | --- | --- |\n| FromPoletoPole | 0.42 | 0.35 | 0.50 | 0.72 |\n| Mountains | 0.40 | 0.31 | 0.53 | 0.75 |","| FreshWater | 0.39 | 0.34 | 0.52 | 0.67 |\n| --- | --- | --- | --- | --- |\n| Caves | 0.37 | 0.33 | 0.55 | 0.62 |\n| Deserts | 0.36 | 0.33 | 0.36 | 0.62 |\n| IceWorlds | 0.39 | 0.37 | 0.51 | 0.73 |\n| GreatPlains | 0.46 | 0.37 | 0.47 | 0.63 |\n| Jungles | 0.45 | 0.38 | 0.51 | 0.62 |\n| ShallowSeas | 0.46 | 0.32 | 0.51 | 0.74 |\n| SeasonalForests | 0.42 | 0.20 | 0.38 | 0.65 |\n| OceanDeep | 0.34 | 0.36 | 0.48 | 0.65 |\n| Average | 0.41 | 0.33 | 0.48 | 0.67 |",1]
["| Episode | STG | NW | SDN | Ours |\n| --- | --- | --- | --- | --- |\n| FromPoletoPole | 0.42 | 0.35 | 0.50 | 0.72 |\n| Mountains | 0.40 | 0.31 | 0.53 | 0.75 |","| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |\n| Jungles | 12.28 | 7.43 |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",0]
["| Episode | STG | NW | SDN | Ours |\n| --- | --- | --- | --- | --- |\n| FromPoletoPole | 0.42 | 0.35 | 0.50 | 0.72 |\n| Mountains | 0.40 | 0.31 | 0.53 | 0.75 |\n| FreshWater | 0.39 | 0.34 | 0.52 | 0.67 |\n| Caves | 0.37 | 0.33 | 0.55 | 0.62 |\n| Deserts | 0.36 | 0.33 | 0.36 | 0.62 |\n| IceWorlds | 0.39 | 0.37 | 0.51 | 0.73 |\n| GreatPlains | 0.46 | 0.37 | 0.47 | 0.63 |","| Jungles | 0.45 | 0.38 | 0.51 | 0.62 |\n| --- | --- | --- | --- | --- |\n| ShallowSeas | 0.46 | 0.32 | 0.51 | 0.74 |\n| SeasonalForests | 0.42 | 0.20 | 0.38 | 0.65 |\n| OceanDeep | 0.34 | 0.36 | 0.48 | 0.65 |\n| Average | 0.41 | 0.33 | 0.48 | 0.67 |",1]
["| Episode | STG | NW | SDN | Ours |\n| --- | --- | --- | --- | --- |\n| FromPoletoPole | 0.42 | 0.35 | 0.50 | 0.72 |\n| Mountains | 0.40 | 0.31 | 0.53 | 0.75 |\n| FreshWater | 0.39 | 0.34 | 0.52 | 0.67 |\n| Caves | 0.37 | 0.33 | 0.55 | 0.62 |\n| Deserts | 0.36 | 0.33 | 0.36 | 0.62 |\n| IceWorlds | 0.39 | 0.37 | 0.51 | 0.73 |\n| GreatPlains | 0.46 | 0.37 | 0.47 | 0.63 |","| SeasonalForests | 9.47 | 4.82 |\n| --- | --- | --- |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",0]
["|  | Area<br>(#ofgates) | CellArea<br>(#ofcells) | Clock<br>(ns) |\n| --- | --- | --- | --- |\n| Non-SecureD | 484180 | 132828 | 31.58 |\n| SecureD-M | 493330 | 136496 | 31.06 |","| SecureD-I | 490715 | 134812 | 31.94 |\n| --- | --- | --- | --- |\n| SecureD | 502830 | 137906 | 31.80 |",1]
["|  | Area<br>(#ofgates) | CellArea<br>(#ofcells) | Clock<br>(ns) |\n| --- | --- | --- | --- |\n| Non-SecureD | 484180 | 132828 | 31.58 |\n| SecureD-M | 493330 | 136496 | 31.06 |","| (cid:48)<br>M | N |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 66 | 70 | 74 | 78 | 82 |  |  |  |  |  |  |\n| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |  |\n| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |\n| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |\n| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |",0]
["|  | Area<br>(#ofgates) | CellArea<br>(#ofcells) | Clock<br>(ns) |\n| --- | --- | --- | --- |\n| Non-SecureD | 484180 | 132828 | 31.58 |","| SecureD-M | 493330 | 136496 | 31.06 |\n| --- | --- | --- | --- |\n| SecureD-I | 490715 | 134812 | 31.94 |\n| SecureD | 502830 | 137906 | 31.80 |",1]
["|  | Area<br>(#ofgates) | CellArea<br>(#ofcells) | Clock<br>(ns) |\n| --- | --- | --- | --- |\n| Non-SecureD | 484180 | 132828 | 31.58 |","| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |\n| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |\n| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |",0]
["| Ds | 5 | 84 | 3650000 | 1057296 |\n| --- | --- | --- | --- | --- |\n| Ds | 2 | 82 | 3000000 | 1112820 |","| Ds | 2 | 141 | 560000 | 246735 |\n| --- | --- | --- | --- | --- |\n| Dt | 2 | 257 | 25000 | 81321 |\n| Dt | 5 | 18 | 11855 | 17836 |\n| Dt | 2 | 20 | 10662 | 18765 |\n| Dt | 2 | 19 | 9613 | 16185 |",1]
["| Ds | 5 | 84 | 3650000 | 1057296 |\n| --- | --- | --- | --- | --- |\n| Ds | 2 | 82 | 3000000 | 1112820 |","| N | Rate | 4bML | Fast-SSCL | 8bFSL | 16bFSL |\n| --- | --- | --- | --- | --- | --- |\n| 1024 | 1/3 | 1258 | 1079 | 870 | 697 |\n| 1/2 | 1577 | 1307 | 1016 | 776 |  |\n| 4096 | 1/3 | 5134 | 4239 | 3640 | 3003 |\n| 1/2 | 6585 | 4984 | 4399 | 3501 |  |\n| 16384 | 1/3 | 21717 | 17230 | 15879 | 13461 |\n| 1/2 | 27357 | 19839 | 18763 | 15305 |  |",0]
["| Ds | 5 | 84 | 3650000 | 1057296 |\n| --- | --- | --- | --- | --- |\n| Ds | 2 | 82 | 3000000 | 1112820 |\n| Ds | 2 | 141 | 560000 | 246735 |\n| Dt | 2 | 257 | 25000 | 81321 |","| Dt | 5 | 18 | 11855 | 17836 |\n| --- | --- | --- | --- | --- |\n| Dt | 2 | 20 | 10662 | 18765 |\n| Dt | 2 | 19 | 9613 | 16185 |",1]
["| Ds | 5 | 84 | 3650000 | 1057296 |\n| --- | --- | --- | --- | --- |\n| Ds | 2 | 82 | 3000000 | 1112820 |\n| Ds | 2 | 141 | 560000 | 246735 |\n| Dt | 2 | 257 | 25000 | 81321 |","| 1/2 | 6585 | 4984 | 4399 | 3501 |  |\n| --- | --- | --- | --- | --- | --- |\n| 16384 | 1/3 | 21717 | 17230 | 15879 | 13461 |\n| 1/2 | 27357 | 19839 | 18763 | 15305 |  |",0]
["| Event | StringsExcluded | #ofVideoswith<br>ThoseStrings |\n| --- | --- | --- |\n| BirthdayParty | anniversaire,birthday,complea,geburtstag | 339 |\n| Parade | parada,parade | 192 |","| PersonAttemptingaBoardTrick | sk8,skateboard,skating,snowboard,surf;ollie | 295 |\n| --- | --- | --- |\n| PersonHand-FeedinganAnimal | fed,feed | 180 |\n| WeddingCeremony | hochzeit,mariage,marriage,wedding | 213 |",1]
["| Event | StringsExcluded | #ofVideoswith<br>ThoseStrings |\n| --- | --- | --- |\n| BirthdayParty | anniversaire,birthday,complea,geburtstag | 339 |\n| Parade | parada,parade | 192 |","| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |\n| --- | --- | --- | --- | --- |\n| Ev101 | BirthdayParty | 237 | 6 | 5 |\n| Ev102 | FlashMob | 150 | 33 | 4 |\n| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |\n| Ev104 | Parade | 230 | 4 | 4 |\n| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |\n| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |\n| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |\n| Ev108 | PersonLandingaFish | 143 | 15 | 9 |\n| Ev109 | WeddingCeremony | 219 | 2 | 6 |\n| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |\n|  | Total | 1823 | 115 | 62 |",0]
["| Event | StringsExcluded | #ofVideoswith<br>ThoseStrings |\n| --- | --- | --- |\n| BirthdayParty | anniversaire,birthday,complea,geburtstag | 339 |\n| Parade | parada,parade | 192 |\n| PersonAttemptingaBoardTrick | sk8,skateboard,skating,snowboard,surf;ollie | 295 |","| PersonHand-FeedinganAnimal | fed,feed | 180 |\n| --- | --- | --- |\n| WeddingCeremony | hochzeit,mariage,marriage,wedding | 213 |",1]
["| Event | StringsExcluded | #ofVideoswith<br>ThoseStrings |\n| --- | --- | --- |\n| BirthdayParty | anniversaire,birthday,complea,geburtstag | 339 |\n| Parade | parada,parade | 192 |\n| PersonAttemptingaBoardTrick | sk8,skateboard,skating,snowboard,surf;ollie | 295 |","| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |\n| --- | --- | --- | --- | --- |\n|  | Total | 1823 | 115 | 62 |",0]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |\n| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |","| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",1]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |\n| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |","| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |\n| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |\n| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |\n| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |\n| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |\n| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |\n| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",0]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |\n| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |","| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",1]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |\n| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |","| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",0]
["| NumberofNodes | ConvergenceRate | OptimalGossipWeight |\n| --- | --- | --- |\n| 4 | 0.8 | 0.6 |\n| 5 | 0.6 | 0.7 |\n| 6 | 0.6 | 0.7 |","| 7 | 0.6 | 0.7 |\n| --- | --- | --- |\n| 8 | 0.4 | 0.8 |\n| 9 | 0.4 | 0.8 |\n| 10 | 0.4 | 0.8 |\n| 11 | 0.4 | 0.8 |\n| 12 | 0.4 | 0.8 |\n| 13 | 0.3034 | 0.8 |\n| 14 | 0.2412 | 0.8 |\n| 15 | 0.2015 | 0.8 |\n| 16 | 0.2 | 0.9 |\n| 17 | 0.2 | 0.9 |\n| 18 | 0.2 | 0.9 |\n| 19 | 0.2 | 0.9 |\n| 20 | 0.2 | 0.9 |",1]
["| NumberofNodes | ConvergenceRate | OptimalGossipWeight |\n| --- | --- | --- |\n| 4 | 0.8 | 0.6 |\n| 5 | 0.6 | 0.7 |\n| 6 | 0.6 | 0.7 |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.00001 | 0.000305 | 12 | 10.953 |\n| 0.00002 | 0.000305 | 13 | 10.656 |\n| 0.00003 | 0.000305 | 12 | 10.516 |\n| 0.00004 | 0.000305 | 12 | 11.703 |\n| 0.00005 | 0.000305 | 13 | 11.610 |\n| 0.00006 | 0.000305 | 13 | 11.547 |\n| 0.00007 | 0.000305 | 13 | 11.672 |\n| 0.00008 | 0.000305 | 13 | 11.813 |\n| 0.00009 | 0.000305 | 13 | 11.813 |\n| 0.0001 | 0.000305 | 13 | 11.890 |\n| 0.0002 | 0.000305 | 14 | 13.110 |\n| 0.0003 | 0.000306 | 14 | 13.110 |\n| 0.0004 | 0.000308 | 16 | 15.407 |\n| 0.0005 | 0.000310 | 24 | 22.844 |\n| 0.0006 | 0.000312 | 15 | 14.250 |\n| 0.0007 | 0.000315 | 15 | 14.328 |\n| 0.0008 | 0.000319 | 32 | 30.563 |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",0]
["| NumberofNodes | ConvergenceRate | OptimalGossipWeight |\n| --- | --- | --- |\n| 4 | 0.8 | 0.6 |\n| 5 | 0.6 | 0.7 |\n| 6 | 0.6 | 0.7 |\n| 7 | 0.6 | 0.7 |\n| 8 | 0.4 | 0.8 |\n| 9 | 0.4 | 0.8 |","| 10 | 0.4 | 0.8 |\n| --- | --- | --- |\n| 11 | 0.4 | 0.8 |\n| 12 | 0.4 | 0.8 |\n| 13 | 0.3034 | 0.8 |\n| 14 | 0.2412 | 0.8 |\n| 15 | 0.2015 | 0.8 |\n| 16 | 0.2 | 0.9 |\n| 17 | 0.2 | 0.9 |\n| 18 | 0.2 | 0.9 |\n| 19 | 0.2 | 0.9 |\n| 20 | 0.2 | 0.9 |",1]
["| NumberofNodes | ConvergenceRate | OptimalGossipWeight |\n| --- | --- | --- |\n| 4 | 0.8 | 0.6 |\n| 5 | 0.6 | 0.7 |\n| 6 | 0.6 | 0.7 |\n| 7 | 0.6 | 0.7 |\n| 8 | 0.4 | 0.8 |\n| 9 | 0.4 | 0.8 |","| 0.0008 | 0.000319 | 32 | 30.563 |\n| --- | --- | --- | --- |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",0]
["| dataset | Liu’salgorithm(s) | Ouralgorithm(s) |\n| --- | --- | --- |\n| 1 | 3.845 | 0.077 |\n| 2 | 521.426 | 97.46 |","| 3 | 1523.75 | 0.44 |\n| --- | --- | --- |\n| 4 | 19916.4 | 3.6 |",1]
["| dataset | Liu’salgorithm(s) | Ouralgorithm(s) |\n| --- | --- | --- |\n| 1 | 3.845 | 0.077 |\n| 2 | 521.426 | 97.46 |","| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailﬁnder |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |\n| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |\n| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |\n| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",0]
["| dataset | Liu’salgorithm(s) | Ouralgorithm(s) |\n| --- | --- | --- |\n| 1 | 3.845 | 0.077 |","| 2 | 521.426 | 97.46 |\n| --- | --- | --- |\n| 3 | 1523.75 | 0.44 |\n| 4 | 19916.4 | 3.6 |",1]
["| dataset | Liu’salgorithm(s) | Ouralgorithm(s) |\n| --- | --- | --- |\n| 1 | 3.845 | 0.077 |","| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |\n| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",0]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |\n| A | 0.68 | 0.27 | 0.06 |","| B | 0.22 | 0.41 | 0.37 |\n| --- | --- | --- | --- |\n| C | 0.05 | 0.40 | 0.55 |",1]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |\n| A | 0.68 | 0.27 | 0.06 |","| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |\n| A | 0.97 | 0.38 | 0.08 |\n| B | 0.38 | 0.73 | 0.66 |\n| C | 0.08 | 0.66 | 0.89 |",0]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |","| A | 0.68 | 0.27 | 0.06 |\n| --- | --- | --- | --- |\n| B | 0.22 | 0.41 | 0.37 |\n| C | 0.05 | 0.40 | 0.55 |",1]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |","| A | 0.97 | 0.38 | 0.08 |\n| --- | --- | --- | --- |\n| B | 0.38 | 0.73 | 0.66 |\n| C | 0.08 | 0.66 | 0.89 |",0]
["| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |","| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",1]
["| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |","| Datasets | BMM | PND | Zhuetal. | Kumaretal. | Ours |\n| --- | --- | --- | --- | --- | --- |\n| p2free2 | 0.1973 | 0.1544 | 0.1142 | 0.1992 | 0.1171 |\n| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |\n| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 |\n| p4meet12 | 0.0802 | 0.0862 | 0.0972 | 0.0821 | 0.0815 |\n| p4table12 | 0.2313 | 0.1588 | 0.1322 | 0.2313 | 0.0994 |",0]
["| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |","| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",1]
["| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |","| p2grab2 | 0.2018 | 0.1570 | 0.0960 | 0.2080 | 0.0822 |\n| --- | --- | --- | --- | --- | --- |\n| p3ball1 | 0.1356 | 0.1477 | 0.0832 | 0.1348 | 0.0810 |\n| p4meet12 | 0.0802 | 0.0862 | 0.0972 | 0.0821 | 0.0815 |\n| p4table12 | 0.2313 | 0.1588 | 0.1322 | 0.2313 | 0.0994 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |","| BG11362 | 4 | 0 | 2 | 4 | 0 | 0 | - | 104 | 81 | 13 | 23 | 0.862 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BG14213 | 61 | 45 | 2 | 16 | 0.957 | 0.738 | 0.833 | 106 | 106 | 3 | 0 | 0.972 |\n| BG2408 | 20 | 18 | 5 | 2 | 0.783 | 0.9 | 0.837 | 101 | 100 | 7 | 1 | 0.935 |\n| BG34901 | 16 | 8 | 2 | 8 | 0.8 | 0.5 | 0.615 | 224 | 219 | 6 | 5 | 0.973 |\n| BG35050 | 4 | 0 | 1 | 4 | 0 | 0 | - | 98 | 98 | 0 | 0 | 1 |\n| BG35187 | 23 | 19 | 1 | 4 | 0.95 | 0.826 | 0.884 | 135 | 125 | 3 | 10 | 0.977 |\n| BG36028 | 0 | 0 | 0 | 0 | - | - | - | 87 | 86 | 14 | 1 | 0.86 |\n| BG36182 | 14 | 3 | 0 | 11 | 1 | 0.214 | 0.353 | 95 | 95 | 3 | 0 | 0.969 |\n| BG36506 | 6 | 4 | 2 | 2 | 0.667 | 0.667 | 0.667 | 77 | 76 | 1 | 1 | 0.987 |\n| BG36537 | 30 | 24 | 20 | 6 | 0.545 | 0.8 | 0.649 | 259 | 244 | 0 | 15 | 1 |\n| BG36628 | 10 | 6 | 3 | 4 | 0.667 | 0.6 | 0.632 | 192 | 191 | 5 | 1 | 0.974 |\n| BG37359 | 6 | 6 | 1 | 0 | 0.857 | 1 | 0.923 | 164 | 157 | 3 | 7 | 0.981 |\n| BG37417 | 12 | 10 | 2 | 2 | 0.833 | 0.833 | 0.833 | 76 | 72 | 4 | 4 | 0.947 |\n| BG37822 | 10 | 9 | 1 | 1 | 0.9 | 0.9 | 0.9 | 119 | 115 | 5 | 4 | 0.958 |\n| BG37879 | 4 | 3 | 1 | 1 | 0.75 | 0.75 | 0.75 | 95 | 92 | 0 | 3 | 1 |\n| BG38150 | 4 | 4 | 2 | 0 | 0.667 | 1 | 0.8 | 215 | 214 | 1 | 1 | 0.995 |\n| BG9401 | 3 | 3 | 1 | 0 | 0.75 | 1 | 0.857 | 89 | 89 | 0 | 0 | 1 |\n| Total | 227 | 162 | 46 | 65 | 0.779 | 0.714 | 0.745 | 2236 | 2160 | 68 | 76 | 0.969 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |\n| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BG11362 | 4 | 0 | 2 | 4 | 0 | 0 | - | 104 | 81 | 13 | 23 | 0.862 |\n| BG14213 | 61 | 45 | 2 | 16 | 0.957 | 0.738 | 0.833 | 106 | 106 | 3 | 0 | 0.972 |\n| BG2408 | 20 | 18 | 5 | 2 | 0.783 | 0.9 | 0.837 | 101 | 100 | 7 | 1 | 0.935 |\n| BG34901 | 16 | 8 | 2 | 8 | 0.8 | 0.5 | 0.615 | 224 | 219 | 6 | 5 | 0.973 |\n| BG35050 | 4 | 0 | 1 | 4 | 0 | 0 | - | 98 | 98 | 0 | 0 | 1 |\n| BG35187 | 23 | 19 | 1 | 4 | 0.95 | 0.826 | 0.884 | 135 | 125 | 3 | 10 | 0.977 |\n| BG36028 | 0 | 0 | 0 | 0 | - | - | - | 87 | 86 | 14 | 1 | 0.86 |\n| BG36182 | 14 | 3 | 0 | 11 | 1 | 0.214 | 0.353 | 95 | 95 | 3 | 0 | 0.969 |\n| BG36506 | 6 | 4 | 2 | 2 | 0.667 | 0.667 | 0.667 | 77 | 76 | 1 | 1 | 0.987 |\n| BG36537 | 30 | 24 | 20 | 6 | 0.545 | 0.8 | 0.649 | 259 | 244 | 0 | 15 | 1 |\n| BG36628 | 10 | 6 | 3 | 4 | 0.667 | 0.6 | 0.632 | 192 | 191 | 5 | 1 | 0.974 |\n| BG37359 | 6 | 6 | 1 | 0 | 0.857 | 1 | 0.923 | 164 | 157 | 3 | 7 | 0.981 |\n| BG37417 | 12 | 10 | 2 | 2 | 0.833 | 0.833 | 0.833 | 76 | 72 | 4 | 4 | 0.947 |\n| BG37822 | 10 | 9 | 1 | 1 | 0.9 | 0.9 | 0.9 | 119 | 115 | 5 | 4 | 0.958 |\n| BG37879 | 4 | 3 | 1 | 1 | 0.75 | 0.75 | 0.75 | 95 | 92 | 0 | 3 | 1 |\n| BG38150 | 4 | 4 | 2 | 0 | 0.667 | 1 | 0.8 | 215 | 214 | 1 | 1 | 0.995 |","| BG9401 | 3 | 3 | 1 | 0 | 0.75 | 1 | 0.857 | 89 | 89 | 0 | 0 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Total | 227 | 162 | 46 | 65 | 0.779 | 0.714 | 0.745 | 2236 | 2160 | 68 | 76 | 0.969 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BG11362 | 4 | 0 | 2 | 4 | 0 | 0 | - | 104 | 81 | 13 | 23 | 0.862 |\n| BG14213 | 61 | 45 | 2 | 16 | 0.957 | 0.738 | 0.833 | 106 | 106 | 3 | 0 | 0.972 |\n| BG2408 | 20 | 18 | 5 | 2 | 0.783 | 0.9 | 0.837 | 101 | 100 | 7 | 1 | 0.935 |\n| BG34901 | 16 | 8 | 2 | 8 | 0.8 | 0.5 | 0.615 | 224 | 219 | 6 | 5 | 0.973 |\n| BG35050 | 4 | 0 | 1 | 4 | 0 | 0 | - | 98 | 98 | 0 | 0 | 1 |\n| BG35187 | 23 | 19 | 1 | 4 | 0.95 | 0.826 | 0.884 | 135 | 125 | 3 | 10 | 0.977 |\n| BG36028 | 0 | 0 | 0 | 0 | - | - | - | 87 | 86 | 14 | 1 | 0.86 |\n| BG36182 | 14 | 3 | 0 | 11 | 1 | 0.214 | 0.353 | 95 | 95 | 3 | 0 | 0.969 |\n| BG36506 | 6 | 4 | 2 | 2 | 0.667 | 0.667 | 0.667 | 77 | 76 | 1 | 1 | 0.987 |\n| BG36537 | 30 | 24 | 20 | 6 | 0.545 | 0.8 | 0.649 | 259 | 244 | 0 | 15 | 1 |\n| BG36628 | 10 | 6 | 3 | 4 | 0.667 | 0.6 | 0.632 | 192 | 191 | 5 | 1 | 0.974 |\n| BG37359 | 6 | 6 | 1 | 0 | 0.857 | 1 | 0.923 | 164 | 157 | 3 | 7 | 0.981 |\n| BG37417 | 12 | 10 | 2 | 2 | 0.833 | 0.833 | 0.833 | 76 | 72 | 4 | 4 | 0.947 |\n| BG37822 | 10 | 9 | 1 | 1 | 0.9 | 0.9 | 0.9 | 119 | 115 | 5 | 4 | 0.958 |\n| BG37879 | 4 | 3 | 1 | 1 | 0.75 | 0.75 | 0.75 | 95 | 92 | 0 | 3 | 1 |\n| BG38150 | 4 | 4 | 2 | 0 | 0.667 | 1 | 0.8 | 215 | 214 | 1 | 1 | 0.995 |","| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["| GPUconﬁg | Amountorcount |\n| --- | --- |\n| NumberofSM | 16 |","| NumberofSPperSM | 192 |\n| --- | --- |\n| Sharedmemoryperblock | 49,152bytes |\n| Maximumthreadsperblock | 1024 |\n| Totalconstantmemoryperdevice | 65,535bytes |\n| Maximumno.ofthreadsperSM | 2048 |",1]
["| GPUconﬁg | Amountorcount |\n| --- | --- |\n| NumberofSM | 16 |","|  | TeslaK40t |\n| --- | --- |\n| GPUchip | GK110BGL |\n| Computecapability | 3.5 |\n| GPUmemory(GDDR5SGRAM) | 12288MiB |\n| Memorybuswidth | 384bits |\n| Peakmemoryclockrate | 3004MHz |\n| Theoreticalmemorybandwidth | 268.58GiB/s |\n| NumberofSMXprocessors | 15 |\n| Max32-bitregistersperSIMDprocessor | 65536 |\n| Maxsharedmemoryperthreadblock | 49152bytes |\n| L2cachesize | 1.50MiB |",0]
["| GPUconﬁg | Amountorcount |\n| --- | --- |\n| NumberofSM | 16 |\n| NumberofSPperSM | 192 |\n| Sharedmemoryperblock | 49,152bytes |","| Maximumthreadsperblock | 1024 |\n| --- | --- |\n| Totalconstantmemoryperdevice | 65,535bytes |\n| Maximumno.ofthreadsperSM | 2048 |",1]
["| GPUconﬁg | Amountorcount |\n| --- | --- |\n| NumberofSM | 16 |\n| NumberofSPperSM | 192 |\n| Sharedmemoryperblock | 49,152bytes |","| Computecapability | 3.5 |\n| --- | --- |\n| GPUmemory(GDDR5SGRAM) | 12288MiB |\n| Memorybuswidth | 384bits |\n| Peakmemoryclockrate | 3004MHz |\n| Theoreticalmemorybandwidth | 268.58GiB/s |\n| NumberofSMXprocessors | 15 |\n| Max32-bitregistersperSIMDprocessor | 65536 |\n| Maxsharedmemoryperthreadblock | 49152bytes |\n| L2cachesize | 1.50MiB |",0]
["| Metric | Dev | Test |\n| --- | --- | --- |\n| Tokens | 291,746 | 216,473 |\n| Sentences | 15,084 | 11,623 |\n| SpanPrecision | 93.42 | 93.04 |\n| Recall | 94.21 | 94.34 |\n| F1 | 93.81 | 93.69 |\n| FramePrecision | 93.47 | 93.20 |\n| Recall | 94.16 | 94.08 |\n| F1 | 93.81 | 93.64 |\n| TypePrecision | 85.56 | 85.67 |\n| Recall | 86.20 | 86.49 |\n| F1 | 85.88 | 86.08 |\n| RolePrecision | 70.21 | 69.59 |\n| Recall | 69.11 | 69.20 |","| F1 | 69.65 | 69.39 |\n| --- | --- | --- |\n| LabelPrecision | 96.51 | 95.02 |\n| Recall | 94.97 | 90.70 |\n| F1 | 95.73 | 92.81 |\n| SlotPrecision | 80.00 | 79.81 |\n| Recall | 79.90 | 80.10 |\n| F1 | 79.95 | 79.96 |\n| CombinedPrecision | 87.46 | 87.20 |\n| Recall | 87.79 | 87.91 |\n| F1 | 87.63 | 87.55 |",1]
["| Metric | Dev | Test |\n| --- | --- | --- |\n| Tokens | 291,746 | 216,473 |\n| Sentences | 15,084 | 11,623 |\n| SpanPrecision | 93.42 | 93.04 |\n| Recall | 94.21 | 94.34 |\n| F1 | 93.81 | 93.69 |\n| FramePrecision | 93.47 | 93.20 |\n| Recall | 94.16 | 94.08 |\n| F1 | 93.81 | 93.64 |\n| TypePrecision | 85.56 | 85.67 |\n| Recall | 86.20 | 86.49 |\n| F1 | 85.88 | 86.08 |\n| RolePrecision | 70.21 | 69.59 |\n| Recall | 69.11 | 69.20 |","|  |  | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |\n| GS+EP | 65.93 | 79.96 | 72.27 |  |\n| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |\n| GS+EP | 54.57 | 66.19 | 59.82 |  |\n| Auto+EP | 47.83 | 38.39 | 42.59 |  |",0]
["| Metric | Dev | Test |\n| --- | --- | --- |\n| Tokens | 291,746 | 216,473 |\n| Sentences | 15,084 | 11,623 |\n| SpanPrecision | 93.42 | 93.04 |\n| Recall | 94.21 | 94.34 |\n| F1 | 93.81 | 93.69 |\n| FramePrecision | 93.47 | 93.20 |\n| Recall | 94.16 | 94.08 |\n| F1 | 93.81 | 93.64 |\n| TypePrecision | 85.56 | 85.67 |\n| Recall | 86.20 | 86.49 |\n| F1 | 85.88 | 86.08 |\n| RolePrecision | 70.21 | 69.59 |\n| Recall | 69.11 | 69.20 |\n| F1 | 69.65 | 69.39 |\n| LabelPrecision | 96.51 | 95.02 |\n| Recall | 94.97 | 90.70 |\n| F1 | 95.73 | 92.81 |\n| SlotPrecision | 80.00 | 79.81 |\n| Recall | 79.90 | 80.10 |\n| F1 | 79.95 | 79.96 |\n| CombinedPrecision | 87.46 | 87.20 |","| Recall | 87.79 | 87.91 |\n| --- | --- | --- |\n| F1 | 87.63 | 87.55 |",1]
["| Metric | Dev | Test |\n| --- | --- | --- |\n| Tokens | 291,746 | 216,473 |\n| Sentences | 15,084 | 11,623 |\n| SpanPrecision | 93.42 | 93.04 |\n| Recall | 94.21 | 94.34 |\n| F1 | 93.81 | 93.69 |\n| FramePrecision | 93.47 | 93.20 |\n| Recall | 94.16 | 94.08 |\n| F1 | 93.81 | 93.64 |\n| TypePrecision | 85.56 | 85.67 |\n| Recall | 86.20 | 86.49 |\n| F1 | 85.88 | 86.08 |\n| RolePrecision | 70.21 | 69.59 |\n| Recall | 69.11 | 69.20 |\n| F1 | 69.65 | 69.39 |\n| LabelPrecision | 96.51 | 95.02 |\n| Recall | 94.97 | 90.70 |\n| F1 | 95.73 | 92.81 |\n| SlotPrecision | 80.00 | 79.81 |\n| Recall | 79.90 | 80.10 |\n| F1 | 79.95 | 79.96 |\n| CombinedPrecision | 87.46 | 87.20 |","| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |\n| --- | --- | --- | --- | --- |\n| GS+EP | 54.57 | 66.19 | 59.82 |  |\n| Auto+EP | 47.83 | 38.39 | 42.59 |  |",0]
["| Dataset | No.of<br>Pages | No.of<br>SFAs | Sizeas: |\n| --- | --- | --- | --- |\n| SFAs | Text |  |  |","| Cong.Acts(CA) | 38 | 1590 | 533MB | 90kB |\n| --- | --- | --- | --- | --- |\n| EnglishLit.(LT) | 32 | 1211 | 524MB | 78kB |\n| DBPapers(DB) | 16 | 627 | 359MB | 54kB |",1]
["| Dataset | No.of<br>Pages | No.of<br>SFAs | Sizeas: |\n| --- | --- | --- | --- |\n| SFAs | Text |  |  |","| Dataset | #triples | ntFileSize |\n| --- | --- | --- |\n| LUBM1K | 133M | 22GB |\n| LUBM2K | 267M | 43GB |\n| LUBM10K | 1,334M | 213GB |\n| Wikidata | 233M | 37GB |",0]
["| Dataset | No.of<br>Pages | No.of<br>SFAs | Sizeas: |\n| --- | --- | --- | --- |\n| SFAs | Text |  |  |","| Cong.Acts(CA) | 38 | 1590 | 533MB | 90kB |\n| --- | --- | --- | --- | --- |\n| EnglishLit.(LT) | 32 | 1211 | 524MB | 78kB |\n| DBPapers(DB) | 16 | 627 | 359MB | 54kB |",1]
["| Dataset | No.of<br>Pages | No.of<br>SFAs | Sizeas: |\n| --- | --- | --- | --- |\n| SFAs | Text |  |  |","| LUBM2K | 267M | 43GB |\n| --- | --- | --- |\n| LUBM10K | 1,334M | 213GB |\n| Wikidata | 233M | 37GB |",0]
["| Sigma | Index | Methods |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Noisy | LSCD | CBM3D | WLRTR |  |  |\n| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |","| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |\n| --- | --- | --- | --- | --- | --- |\n| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",1]
["| Sigma | Index | Methods |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Noisy | LSCD | CBM3D | WLRTR |  |  |\n| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |","| Method | FRGC4× | FRGC8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |\n| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |\n| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",0]
["| Sigma | Index | Methods |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Noisy | LSCD | CBM3D | WLRTR |  |  |\n| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |","| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| --- | --- | --- | --- | --- | --- |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",1]
["| Sigma | Index | Methods |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Noisy | LSCD | CBM3D | WLRTR |  |  |\n| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |","| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |\n| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |\n| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",0]
["| nv045docs | #ret | Av.P | Av.R | Av.F | #novel |\n| --- | --- | --- | --- | --- | --- |\n| s0.4 | 986 | 0.688 | 0.977 | 0.790 | 627 |","| o0.7 | 974 | 0.694 | 0.964 | 0.786 | 634 |\n| --- | --- | --- | --- | --- | --- |\n| nv0425docs | #ret | Av.P | Av.R | Av.F | #novel |\n| s0.4 | 7008 | 0.463 | 0.957 | 0.610 | 3282 |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | 3255 |\n| nv03 | #ret | Av.P | Av.R | Av.F | #novel |\n| s0.4 | 13495 | 0.719 | 0.978 | 0.817 | 9962 |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | 9836 |\n| nvyiz | #ret | Av.P | Av.R | Av.F | #novel |\n| s0.4 | 9082 | 0.919 | 0.977 | 0.946 | 8313 |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | 8452 |",1]
["| nv045docs | #ret | Av.P | Av.R | Av.F | #novel |\n| --- | --- | --- | --- | --- | --- |\n| s0.4 | 986 | 0.688 | 0.977 | 0.790 | 627 |","| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| nv045docs | #ret | Av.P | Av.R | Av.F | #novel |\n| --- | --- | --- | --- | --- | --- |\n| s0.4 | 986 | 0.688 | 0.977 | 0.790 | 627 |\n| o0.7 | 974 | 0.694 | 0.964 | 0.786 | 634 |","| nv0425docs | #ret | Av.P | Av.R | Av.F | #novel |\n| --- | --- | --- | --- | --- | --- |\n| s0.4 | 7008 | 0.463 | 0.957 | 0.610 | 3282 |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | 3255 |\n| nv03 | #ret | Av.P | Av.R | Av.F | #novel |\n| s0.4 | 13495 | 0.719 | 0.978 | 0.817 | 9962 |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | 9836 |\n| nvyiz | #ret | Av.P | Av.R | Av.F | #novel |\n| s0.4 | 9082 | 0.919 | 0.977 | 0.946 | 8313 |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | 8452 |",1]
["| nv045docs | #ret | Av.P | Av.R | Av.F | #novel |\n| --- | --- | --- | --- | --- | --- |\n| s0.4 | 986 | 0.688 | 0.977 | 0.790 | 627 |\n| o0.7 | 974 | 0.694 | 0.964 | 0.786 | 634 |","| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| --- | --- | --- | --- | --- | --- |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["|  |  | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |\n| GS+EP | 65.93 | 79.96 | 72.27 |  |\n| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |","| GS+EP | 54.57 | 66.19 | 59.82 |\n| --- | --- | --- | --- |\n| Auto+EP | 47.83 | 38.39 | 42.59 |",1]
["|  |  | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |\n| GS+EP | 65.93 | 79.96 | 72.27 |  |\n| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |","|  | avg/total | Positive | Neutral |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Featurecombination | Prec | Recall | F1 | Prec | Recall | F1 | Prec | Recall | F1 | Prec |\n| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |\n| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |\n| +f1,f2,f4,f6,f7 | 0.59 | 0.46 | 0.49 | 0.30 | 0.43 | 0.35 | 0.26 | 0.54 | 0.35 | 0.76 |\n| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",0]
["|  |  | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |\n| GS+EP | 65.93 | 79.96 | 72.27 |  |\n| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |","| GS+EP | 54.57 | 66.19 | 59.82 |\n| --- | --- | --- | --- |\n| Auto+EP | 47.83 | 38.39 | 42.59 |",1]
["|  |  | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |\n| GS+EP | 65.93 | 79.96 | 72.27 |  |\n| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |","| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |\n| +f1,f2,f4,f6,f7 | 0.59 | 0.46 | 0.49 | 0.30 | 0.43 | 0.35 | 0.26 | 0.54 | 0.35 | 0.76 |\n| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",0]
["| testview |\n| --- |\n| 1crop<br>1full |\n| 1crop<br>1full |","| 1crop<br>1full |\n| --- |\n| 1crop<br>1full |",1]
["| testview |\n| --- |\n| 1crop<br>1full |\n| 1crop<br>1full |","| Window-Size |\n| --- |\n| 2000<br>10000 |\n| 2000<br>10000 |\n| 2000<br>10000 |\n| 2000<br>10000 |\n| 2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000 |",0]
["| testview |\n| --- |\n| 1crop<br>1full |\n| 1crop<br>1full |","| 1crop<br>1full |\n| --- |\n| 1crop<br>1full |",1]
["| testview |\n| --- |\n| 1crop<br>1full |\n| 1crop<br>1full |","| 2000<br>10000 |\n| --- |\n| 2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000<br>2000<br>10000 |",0]
["| #ofRules | Accuracy | Avg.#oftagsperword |\n| --- | --- | --- |\n| 0 | 96.5 | 1.00 |\n| 50 | 96.9 | 1.02 |","| 100 | 97.4 | 1.04 |\n| --- | --- | --- |\n| 150 | 97.9 | 1.10 |\n| 200 | 98.4 | 1.19 |\n| 250 | 99.1 | 1.50 |",1]
["| #ofRules | Accuracy | Avg.#oftagsperword |\n| --- | --- | --- |\n| 0 | 96.5 | 1.00 |\n| 50 | 96.9 | 1.02 |","|  | avg.precision | ratiotoJ-J |\n| --- | --- | --- |\n| J-J | 0.204 | — |\n| CWT | 0.193 | 0.946 |\n| translit | 0.193 | 0.946 |\n| control | 0.115 | 0.564 |",0]
["| #ofRules | Accuracy | Avg.#oftagsperword |\n| --- | --- | --- |\n| 0 | 96.5 | 1.00 |\n| 50 | 96.9 | 1.02 |","| 100 | 97.4 | 1.04 |\n| --- | --- | --- |\n| 150 | 97.9 | 1.10 |\n| 200 | 98.4 | 1.19 |\n| 250 | 99.1 | 1.50 |",1]
["| #ofRules | Accuracy | Avg.#oftagsperword |\n| --- | --- | --- |\n| 0 | 96.5 | 1.00 |\n| 50 | 96.9 | 1.02 |","| CWT | 0.193 | 0.946 |\n| --- | --- | --- |\n| translit | 0.193 | 0.946 |\n| control | 0.115 | 0.564 |",0]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| DeepLSTM | 55 | 57 | 63.3 | 62.2 |","| AttentiveReader | 61.6 | 63 | 70.5 | 69 |\n| --- | --- | --- | --- | --- |\n| ImpatientReader | 61.8 | 63.8 | 69 | 68 |\n| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 |",1]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| DeepLSTM | 55 | 57 | 63.3 | 62.2 |","|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| Frequency | 33.2 | 35.0 | 33.4 | 32.4 |\n| WA | 47.3 | 50.6 | 54.3 | 53.4 |\n| nBOW | 40.3 | 43.5 | 48.7 | 47.8 |\n| WMD | 41.2 | 44.0 | 49.3 | 48.5 |\n| FS | 18.9 | 22.0 | 25.2 | 24.3 |",0]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| DeepLSTM | 55 | 57 | 63.3 | 62.2 |","| AttentiveReader | 61.6 | 63 | 70.5 | 69 |\n| --- | --- | --- | --- | --- |\n| ImpatientReader | 61.8 | 63.8 | 69 | 68 |\n| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 |",1]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| DeepLSTM | 55 | 57 | 63.3 | 62.2 |","| Frequency | 33.2 | 35.0 | 33.4 | 32.4 |\n| --- | --- | --- | --- | --- |\n| WA | 47.3 | 50.6 | 54.3 | 53.4 |\n| nBOW | 40.3 | 43.5 | 48.7 | 47.8 |\n| WMD | 41.2 | 44.0 | 49.3 | 48.5 |\n| FS | 18.9 | 22.0 | 25.2 | 24.3 |",0]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| wcsp/spot5/dir | wcsp-dir | 21 |\n| wcsp/spot5/log | wcsp-log | 21 |\n| haplotyping-pedigrees | HT | 100 |\n| upgradeability-problem | UP | 100 |\n| preferenceplanning | PP | 29 |","| packup-wpms | PWPMS | 99 |\n| --- | --- | --- |\n| timetabling | TT | 26 |",1]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| wcsp/spot5/dir | wcsp-dir | 21 |\n| wcsp/spot5/log | wcsp-log | 21 |\n| haplotyping-pedigrees | HT | 100 |\n| upgradeability-problem | UP | 100 |\n| preferenceplanning | PP | 29 |","| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |\n| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |\n| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| wcsp/spot5/dir | wcsp-dir | 21 |\n| wcsp/spot5/log | wcsp-log | 21 |\n| haplotyping-pedigrees | HT | 100 |","| upgradeability-problem | UP | 100 |\n| --- | --- | --- |\n| preferenceplanning | PP | 29 |\n| packup-wpms | PWPMS | 99 |\n| timetabling | TT | 26 |",1]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| wcsp/spot5/dir | wcsp-dir | 21 |\n| wcsp/spot5/log | wcsp-log | 21 |\n| haplotyping-pedigrees | HT | 100 |","| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| Downsampling | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| nθ | 8 | 16 | 8 | 16 |\n| RBC | 0.006 | 0.006 | 0.006 | 0.007 |\n| ARBC1/2 | 0.243 | 0.869 | 0.762 | 5.408 |","| ARBC1/4 | 0.139 | 0.455 | 0.431 | 1.843 |\n| --- | --- | --- | --- | --- |\n| ARBC3 | 0.364 | 1.163 | 1.102 | 6.791 |",1]
["| Downsampling | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| nθ | 8 | 16 | 8 | 16 |\n| RBC | 0.006 | 0.006 | 0.006 | 0.007 |\n| ARBC1/2 | 0.243 | 0.869 | 0.762 | 5.408 |","| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |\n| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |\n| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["| Downsampling | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| nθ | 8 | 16 | 8 | 16 |\n| RBC | 0.006 | 0.006 | 0.006 | 0.007 |\n| ARBC1/2 | 0.243 | 0.869 | 0.762 | 5.408 |","| ARBC1/4 | 0.139 | 0.455 | 0.431 | 1.843 |\n| --- | --- | --- | --- | --- |\n| ARBC3 | 0.364 | 1.163 | 1.102 | 6.791 |",1]
["| Downsampling | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| nθ | 8 | 16 | 8 | 16 |\n| RBC | 0.006 | 0.006 | 0.006 | 0.007 |\n| ARBC1/2 | 0.243 | 0.869 | 0.762 | 5.408 |","| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |\n| --- | --- | --- | --- | --- |\n| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["| Algorithm\\SNRRange | 0.6-1.0 | 1.2-2.0 | 2.2-2.6 |\n| --- | --- | --- | --- |\n| OurO(N)detector | 0.47 | 0.75 | 0.88 |\n| OurO(NlogN)detector | 0.46 | 0.72 | 0.87 |\n| Canny | 0.24 | 0.67 | 0.85 |\n| BM3D+Canny | 0.12 | 0.67 | 0.84 |","| Crisp | 0.3 | 0.32 | 0.46 |\n| --- | --- | --- | --- |\n| Dollar | 0.18 | 0.32 | 0.43 |\n| MCG | 0.25 | 0.28 | 0.41 |",1]
["| Algorithm\\SNRRange | 0.6-1.0 | 1.2-2.0 | 2.2-2.6 |\n| --- | --- | --- | --- |\n| OurO(N)detector | 0.47 | 0.75 | 0.88 |\n| OurO(NlogN)detector | 0.46 | 0.72 | 0.87 |\n| Canny | 0.24 | 0.67 | 0.85 |\n| BM3D+Canny | 0.12 | 0.67 | 0.84 |","| Model/Algorithm | MNIST | Caltech101 | US-CT |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | DC | mIoU | DC | mIoU | DC | mIoU |\n| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |\n| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |\n| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",0]
["| Algorithm\\SNRRange | 0.6-1.0 | 1.2-2.0 | 2.2-2.6 |\n| --- | --- | --- | --- |\n| OurO(N)detector | 0.47 | 0.75 | 0.88 |","| OurO(NlogN)detector | 0.46 | 0.72 | 0.87 |\n| --- | --- | --- | --- |\n| Canny | 0.24 | 0.67 | 0.85 |\n| BM3D+Canny | 0.12 | 0.67 | 0.84 |\n| Crisp | 0.3 | 0.32 | 0.46 |\n| Dollar | 0.18 | 0.32 | 0.43 |\n| MCG | 0.25 | 0.28 | 0.41 |",1]
["| Algorithm\\SNRRange | 0.6-1.0 | 1.2-2.0 | 2.2-2.6 |\n| --- | --- | --- | --- |\n| OurO(N)detector | 0.47 | 0.75 | 0.88 |","| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",0]
["| MethodNameEntitytypeSample |\n| --- |\n| NameofCityCITYParisCITY |\n| NameofContinentcontinentAsiacontinent |\n| NameofCountryCOUNTRYUSACOUNTRY |\n| NameofDrugDRUGAcarboseDRUG |\n| NameofCompanyCOMPANYAsusCOMPANY |\n| NameofCrimeCrimeLarcenyCrime |\n| NameofSportSportArcherySport |\n| NameofHolidayholidayChristmasholiday |\n| NameofProductproductBagProduct |\n| NameofNaturaldisasterdisasterFlooddisaster |\n| NameofOperatingSystemosUbuntuos |\n| NameofSportEventsportevAsianCupsportev |","| NameofGeographicFeaturegeoCliﬀgeo |\n| --- |\n| RegionRegionRegionSuncoastregion |\n| NameofStatestateNewSouthWalesState |\n| NameofadegreedegreeSeniorLecturerdegree |",1]
["| MethodNameEntitytypeSample |\n| --- |\n| NameofCityCITYParisCITY |\n| NameofContinentcontinentAsiacontinent |\n| NameofCountryCOUNTRYUSACOUNTRY |\n| NameofDrugDRUGAcarboseDRUG |\n| NameofCompanyCOMPANYAsusCOMPANY |\n| NameofCrimeCrimeLarcenyCrime |\n| NameofSportSportArcherySport |\n| NameofHolidayholidayChristmasholiday |\n| NameofProductproductBagProduct |\n| NameofNaturaldisasterdisasterFlooddisaster |\n| NameofOperatingSystemosUbuntuos |\n| NameofSportEventsportevAsianCupsportev |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| MethodNameEntitytypeSample |\n| --- |\n| NameofCityCITYParisCITY |\n| NameofContinentcontinentAsiacontinent |\n| NameofCountryCOUNTRYUSACOUNTRY |\n| NameofDrugDRUGAcarboseDRUG |\n| NameofCompanyCOMPANYAsusCOMPANY |\n| NameofCrimeCrimeLarcenyCrime |\n| NameofSportSportArcherySport |\n| NameofHolidayholidayChristmasholiday |\n| NameofProductproductBagProduct |\n| NameofNaturaldisasterdisasterFlooddisaster |","| NameofOperatingSystemosUbuntuos |\n| --- |\n| NameofSportEventsportevAsianCupsportev |\n| NameofGeographicFeaturegeoCliﬀgeo |\n| RegionRegionRegionSuncoastregion |\n| NameofStatestateNewSouthWalesState |\n| NameofadegreedegreeSeniorLecturerdegree |",1]
["| MethodNameEntitytypeSample |\n| --- |\n| NameofCityCITYParisCITY |\n| NameofContinentcontinentAsiacontinent |\n| NameofCountryCOUNTRYUSACOUNTRY |\n| NameofDrugDRUGAcarboseDRUG |\n| NameofCompanyCOMPANYAsusCOMPANY |\n| NameofCrimeCrimeLarcenyCrime |\n| NameofSportSportArcherySport |\n| NameofHolidayholidayChristmasholiday |\n| NameofProductproductBagProduct |\n| NameofNaturaldisasterdisasterFlooddisaster |","| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| --- | --- | --- |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| Model | Still-image | +MGP | +MGP<br>+MCS | +MGP+MCS<br>+Rescoring | Model<br>Combination | TestSet |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 67.7 | 68.7 | 72.4 | 73.6 | 73.8 | 67.8 |\n| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 |  |  |","| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 |  |  |",1]
["| Model | Still-image | +MGP | +MGP<br>+MCS | +MGP+MCS<br>+Rescoring | Model<br>Combination | TestSet |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 67.7 | 68.7 | 72.4 | 73.6 | 73.8 | 67.8 |\n| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 |  |  |","| Code<br>size | Model | With<br>bigrams | 20Newsgroups | RCV1 | EnglishWikipedia |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | NDCG@10 | MAP | NDCG@10 | MAP | NDCG@10 |  |  |  |\n| 128 | PV-DBOW | no | 0.4 | 0.75 | 0.25 | 0.79 | 0.25 | 0.59 |\n| yes | 0.45 | 0.75 | 0.27 | 0.8 | 0.26 | 0.6 |  |  |\n| Binary<br>PV-DBOW | no | 0.34 | 0.69 | 0.22 | 0.74 | 0.18 | 0.48 |  |\n| yes | 0.35 | 0.69 | 0.24 | 0.77 | 0.18 | 0.49 |  |  |\n| PV-DM | N/A | 0.41 | 0.73 | 0.23 | 0.78 | 0.24 | 0.59 |  |\n| BinaryPV-DM | 0.34 | 0.65 | 0.18 | 0.69 | 0.16 | 0.46 |  |  |\n| 32 | PV-DBOW | no | 0.43 | 0.71 | 0.26 | 0.75 | 0.23 | 0.55 |\n| yes | 0.46 | 0.72 | 0.27 | 0.77 | 0.25 | 0.58 |  |  |\n| Binary<br>PV-DBOW | no | 0.32 | 0.53 | 0.22 | 0.6 | 0.16 | 0.41 |  |\n| yes | 0.32 | 0.54 | 0.25 | 0.66 | 0.17 | 0.44 |  |  |\n| PV-DM | N/A | 0.43 | 0.7 | 0.23 | 0.77 | 0.23 | 0.55 |  |\n| BinaryPV-DM | 0.29 | 0.49 | 0.17 | 0.53 | 0.15 | 0.41 |  |  |",0]
["| Model | Still-image | +MGP | +MGP<br>+MCS | +MGP+MCS<br>+Rescoring | Model<br>Combination | TestSet |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 67.7 | 68.7 | 72.4 | 73.6 | 73.8 | 67.8 |","| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |\n| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 |  |  |",1]
["| Model | Still-image | +MGP | +MGP<br>+MCS | +MGP+MCS<br>+Rescoring | Model<br>Combination | TestSet |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 67.7 | 68.7 | 72.4 | 73.6 | 73.8 | 67.8 |","| yes | 0.45 | 0.75 | 0.27 | 0.8 | 0.26 | 0.6 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Binary<br>PV-DBOW | no | 0.34 | 0.69 | 0.22 | 0.74 | 0.18 | 0.48 |  |\n| yes | 0.35 | 0.69 | 0.24 | 0.77 | 0.18 | 0.49 |  |  |\n| PV-DM | N/A | 0.41 | 0.73 | 0.23 | 0.78 | 0.24 | 0.59 |  |\n| BinaryPV-DM | 0.34 | 0.65 | 0.18 | 0.69 | 0.16 | 0.46 |  |  |\n| 32 | PV-DBOW | no | 0.43 | 0.71 | 0.26 | 0.75 | 0.23 | 0.55 |\n| yes | 0.46 | 0.72 | 0.27 | 0.77 | 0.25 | 0.58 |  |  |\n| Binary<br>PV-DBOW | no | 0.32 | 0.53 | 0.22 | 0.6 | 0.16 | 0.41 |  |\n| yes | 0.32 | 0.54 | 0.25 | 0.66 | 0.17 | 0.44 |  |  |\n| PV-DM | N/A | 0.43 | 0.7 | 0.23 | 0.77 | 0.23 | 0.55 |  |\n| BinaryPV-DM | 0.29 | 0.49 | 0.17 | 0.53 | 0.15 | 0.41 |  |  |",0]
["| Crimes(MUC): | murder(s),crime(s),killing(s),traﬃcking,kidnapping(s) |\n| --- | --- |\n| Crimes(WSJ): | murder(s),crime(s),theft(s),fraud(s),embezzlement |\n| Vehicle: | plane(s),helicopter(s),car(s),bus(es),aircraft(s),airplane(s),vehicle(s) |","| Weapon: | bomb(s),weapon(s),riﬂe(s),missile(s),grenade(s),machinegun(s),dynamite |\n| --- | --- |\n| Machines: | computer(s),machine(s),equipment,chip(s),machinery |",1]
["| Crimes(MUC): | murder(s),crime(s),killing(s),traﬃcking,kidnapping(s) |\n| --- | --- |\n| Crimes(WSJ): | murder(s),crime(s),theft(s),fraud(s),embezzlement |\n| Vehicle: | plane(s),helicopter(s),car(s),bus(es),aircraft(s),airplane(s),vehicle(s) |","| free | explode |\n| --- | --- |\n| kill | kidnap |\n| enter | arrest |\n| negotiate | encircle |\n| escapefrom | blocktheway |\n| givedeadline |  |",0]
["| Crimes(MUC): | murder(s),crime(s),killing(s),traﬃcking,kidnapping(s) |\n| --- | --- |\n| Crimes(WSJ): | murder(s),crime(s),theft(s),fraud(s),embezzlement |","| Vehicle: | plane(s),helicopter(s),car(s),bus(es),aircraft(s),airplane(s),vehicle(s) |\n| --- | --- |\n| Weapon: | bomb(s),weapon(s),riﬂe(s),missile(s),grenade(s),machinegun(s),dynamite |\n| Machines: | computer(s),machine(s),equipment,chip(s),machinery |",1]
["| Crimes(MUC): | murder(s),crime(s),killing(s),traﬃcking,kidnapping(s) |\n| --- | --- |\n| Crimes(WSJ): | murder(s),crime(s),theft(s),fraud(s),embezzlement |","| escapefrom | blocktheway |\n| --- | --- |\n| givedeadline |  |",0]
["| Non-Intruder | Intruder |\n| --- | --- |\n| falconiformes | turonianﬁrstappearances |\n| birdsofprey | snakes |","| seabirds | squamata |\n| --- | --- |\n| ypresianﬁrstappearances | predators |\n| psittaciformes | lepidosaurs |\n| parrots | predation |\n| rupelianﬁrstappearances | carnivorousanimals |\n| gulls | venomoussnakes |\n| birdfamilies | snakesinart |",1]
["| Non-Intruder | Intruder |\n| --- | --- |\n| falconiformes | turonianﬁrstappearances |\n| birdsofprey | snakes |","|  | O-NL-SDA | BP | Proposed |\n| --- | --- | --- | --- |\n| Damselﬂy | 30.85 | 26.49 | 31.56 |\n| Birds | 26.62 | 22.75 | 27.17 |\n| Rabbit | 27.24 | 22.63 | 27.89 |\n| Turtle | 34.65 | 26.31 | 35.59 |\n| Dog | 21.55 | 16.97 | 22.33 |\n| EagleRay | 26.57 | 22.65 | 27.20 |\n| Boat | 33.11 | 25.48 | 33.94 |\n| Monkey | 30.32 | 23.51 | 30.70 |\n| Panda | 21.00 | 17.85 | 21.53 |\n| Snake | 17.71 | 14.67 | 18.23 |\n| MeanPSNR | 26.96 | 21.93 | 27.61 |",0]
["| Non-Intruder | Intruder |\n| --- | --- |\n| falconiformes | turonianﬁrstappearances |\n| birdsofprey | snakes |\n| seabirds | squamata |\n| ypresianﬁrstappearances | predators |\n| psittaciformes | lepidosaurs |\n| parrots | predation |\n| rupelianﬁrstappearances | carnivorousanimals |","| gulls | venomoussnakes |\n| --- | --- |\n| birdfamilies | snakesinart |",1]
["| Non-Intruder | Intruder |\n| --- | --- |\n| falconiformes | turonianﬁrstappearances |\n| birdsofprey | snakes |\n| seabirds | squamata |\n| ypresianﬁrstappearances | predators |\n| psittaciformes | lepidosaurs |\n| parrots | predation |\n| rupelianﬁrstappearances | carnivorousanimals |","| EagleRay | 26.57 | 22.65 | 27.20 |\n| --- | --- | --- | --- |\n| Boat | 33.11 | 25.48 | 33.94 |\n| Monkey | 30.32 | 23.51 | 30.70 |\n| Panda | 21.00 | 17.85 | 21.53 |\n| Snake | 17.71 | 14.67 | 18.23 |\n| MeanPSNR | 26.96 | 21.93 | 27.61 |",0]
["| Model | Beam | bottle | bus | couch | microwave | pizza | racket | suitcase |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DCC<br>KGA-CGM | 1<br>1 | 4.6<br>26.4<br>17.7<br>16.3<br>29.6<br>22.2 | 29.8<br>54.2<br>68.7<br>67.8<br>74.4<br>42.5 | 45.9<br>42.1<br>25.5<br>48.2<br>38.7<br>34.4 | 28.1<br>50.9<br>24.7<br>29.7<br>27.8<br>48.1 | 64.6<br>70.8<br>69.3<br>77.2<br>68.1<br>69.6 | 52.2<br>75.3<br>55.3<br>57.1<br>70.2<br>63.1 | 13.2<br>25.6<br>39.8<br>49.9<br>44.7<br>22.6 |\n| NOC<br>CBS(T4)<br>LSTM-C<br>KGA-CGM | >1<br>>1<br>>1<br>>1 |  |  |  |  |  |  |  |\n| DCC<br>KGA-CGM | 1<br>1 | 18.1<br>21.5<br>21.2<br>21.3 | 21.6<br>20.3<br>20.4<br>19.2 | 23.1<br>23.0<br>21.4<br>23.5 | 22.1<br>22.6<br>21.5<br>23.2 | 22.2<br>21.4<br>21.8<br>21.7 | 20.3<br>27.0<br>24.6<br>22.5 | 18.3<br>18.7<br>18.0<br>18.0 |","| NOC<br>KGA-CGM | >1<br>>1 |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KGA-CGM<br>KGA-CGM | 1<br>>1 | 13.1<br>12.6 | 12.6<br>11.6 | 14.9<br>14.6 | 13.3<br>13.6 | 13.2<br>13.1 | 19.8<br>16.7 | 10.6<br>10.3 |",1]
["| Model | Beam | bottle | bus | couch | microwave | pizza | racket | suitcase |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DCC<br>KGA-CGM | 1<br>1 | 4.6<br>26.4<br>17.7<br>16.3<br>29.6<br>22.2 | 29.8<br>54.2<br>68.7<br>67.8<br>74.4<br>42.5 | 45.9<br>42.1<br>25.5<br>48.2<br>38.7<br>34.4 | 28.1<br>50.9<br>24.7<br>29.7<br>27.8<br>48.1 | 64.6<br>70.8<br>69.3<br>77.2<br>68.1<br>69.6 | 52.2<br>75.3<br>55.3<br>57.1<br>70.2<br>63.1 | 13.2<br>25.6<br>39.8<br>49.9<br>44.7<br>22.6 |\n| NOC<br>CBS(T4)<br>LSTM-C<br>KGA-CGM | >1<br>>1<br>>1<br>>1 |  |  |  |  |  |  |  |\n| DCC<br>KGA-CGM | 1<br>1 | 18.1<br>21.5<br>21.2<br>21.3 | 21.6<br>20.3<br>20.4<br>19.2 | 23.1<br>23.0<br>21.4<br>23.5 | 22.1<br>22.6<br>21.5<br>23.2 | 22.2<br>21.4<br>21.8<br>21.7 | 20.3<br>27.0<br>24.6<br>22.5 | 18.3<br>18.7<br>18.0<br>18.0 |","|  | wall | ﬂoor | cabin | bed | chair | sofa | table | door | wdw | bslf | pic | cnter |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 74.94<br>74.72<br>74.29 | 87.41<br>87.41<br>86.78 | 41.70<br>41.52<br>43.44 | 66.53<br>62.49<br>64.25 | 64.45<br>64.58<br>64.80 | 50.36<br>48.78<br>51.6 | 49.01<br>44.94<br>45.73 | 33.35<br>31.54<br>31.67 | 44.77<br>46.18<br>47.64 | 28.12<br>31.08<br>32.55 | 46.84<br>47.71<br>46.43 | 27.73<br>31.09<br>32.00 |\n|  | desk | shelf | ctn | drssr | pillow | mirror | mat | clthes | ceiling | books | fridge | tv |\n| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |\n|  | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |\n| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 |",0]
["| Model | Beam | bottle | bus | couch | microwave | pizza | racket | suitcase |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DCC<br>KGA-CGM | 1<br>1 | 4.6<br>26.4<br>17.7<br>16.3<br>29.6<br>22.2 | 29.8<br>54.2<br>68.7<br>67.8<br>74.4<br>42.5 | 45.9<br>42.1<br>25.5<br>48.2<br>38.7<br>34.4 | 28.1<br>50.9<br>24.7<br>29.7<br>27.8<br>48.1 | 64.6<br>70.8<br>69.3<br>77.2<br>68.1<br>69.6 | 52.2<br>75.3<br>55.3<br>57.1<br>70.2<br>63.1 | 13.2<br>25.6<br>39.8<br>49.9<br>44.7<br>22.6 |","| NOC<br>CBS(T4)<br>LSTM-C<br>KGA-CGM | >1<br>>1<br>>1<br>>1 |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DCC<br>KGA-CGM | 1<br>1 | 18.1<br>21.5<br>21.2<br>21.3 | 21.6<br>20.3<br>20.4<br>19.2 | 23.1<br>23.0<br>21.4<br>23.5 | 22.1<br>22.6<br>21.5<br>23.2 | 22.2<br>21.4<br>21.8<br>21.7 | 20.3<br>27.0<br>24.6<br>22.5 | 18.3<br>18.7<br>18.0<br>18.0 |\n| NOC<br>KGA-CGM | >1<br>>1 |  |  |  |  |  |  |  |\n| KGA-CGM<br>KGA-CGM | 1<br>>1 | 13.1<br>12.6 | 12.6<br>11.6 | 14.9<br>14.6 | 13.3<br>13.6 | 13.2<br>13.1 | 19.8<br>16.7 | 10.6<br>10.3 |",1]
["| Model | Beam | bottle | bus | couch | microwave | pizza | racket | suitcase |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DCC<br>KGA-CGM | 1<br>1 | 4.6<br>26.4<br>17.7<br>16.3<br>29.6<br>22.2 | 29.8<br>54.2<br>68.7<br>67.8<br>74.4<br>42.5 | 45.9<br>42.1<br>25.5<br>48.2<br>38.7<br>34.4 | 28.1<br>50.9<br>24.7<br>29.7<br>27.8<br>48.1 | 64.6<br>70.8<br>69.3<br>77.2<br>68.1<br>69.6 | 52.2<br>75.3<br>55.3<br>57.1<br>70.2<br>63.1 | 13.2<br>25.6<br>39.8<br>49.9<br>44.7<br>22.6 |","| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |\n| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 |",0]
["| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.68640.76120.5681<br>0.51710.72060.6906 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.42630.68270.7261<br>0.20220.57240.4363 |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.31910.79390.5243<br>0.12580.62290.3602 |","| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.56920.58000.2550<br>0.46860.20630.2675 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.54660.82380.7538<br>0.44630.75290.6966 |",1]
["| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.68640.76120.5681<br>0.51710.72060.6906 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.42630.68270.7261<br>0.20220.57240.4363 |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.31910.79390.5243<br>0.12580.62290.3602 |","| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.38550.62830.5517<br>0.38890.66610.5673<br>0.68640.76120.5681<br>0.68640.76120.5681<br>0.68640.76120.5681 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.14580.1964-0.0182<br>0.55240.20570.0380<br>0.42630.68270.7261<br>0.42880.68600.7310<br>0.41150.64250.6803 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.39990.80110.8089<br>0.30650.47780.3143<br>0.31910.79390.5243<br>0.32290.74810.5077<br>0.33170.60160.4964 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.58910.44090.2549<br>0.58880.39530.2311<br>0.11870.35460.1308<br>0.10420.36620.1619<br>0.33980.36150.2345<br>0.38640.23030.1368<br>0.44010.28110.1898<br>0.54460.36120.2259 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.23990.47500.2385<br>0.24000.52190.2241<br>-0.08420.14020.0052<br>0.14970.62130.3114<br>0.10940.63570.2575<br>-0.01480.09230.0074<br>0.19750.25790.0639<br>0.08460.47980.2517 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.54890.51620.1486<br>0.47320.49370.1198<br>0.56920.58000.2550<br>0.56560.56540.2316<br>0.53770.62270.3322 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.37800.54580.1128<br>0.29460.53200.1132<br>0.54660.82380.7538<br>0.54660.82380.7538<br>0.54660.82380.7538 |",0]
["| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.68640.76120.5681<br>0.51710.72060.6906 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.42630.68270.7261<br>0.20220.57240.4363 |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.31910.79390.5243<br>0.12580.62290.3602 |","| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.56920.58000.2550<br>0.46860.20630.2675 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.54660.82380.7538<br>0.44630.75290.6966 |",1]
["| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.68640.76120.5681<br>0.51710.72060.6906 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.42630.68270.7261<br>0.20220.57240.4363 |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.31910.79390.5243<br>0.12580.62290.3602 |","| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.58910.44090.2549<br>0.58880.39530.2311<br>0.11870.35460.1308<br>0.10420.36620.1619<br>0.33980.36150.2345<br>0.38640.23030.1368<br>0.44010.28110.1898<br>0.54460.36120.2259 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.23990.47500.2385<br>0.24000.52190.2241<br>-0.08420.14020.0052<br>0.14970.62130.3114<br>0.10940.63570.2575<br>-0.01480.09230.0074<br>0.19750.25790.0639<br>0.08460.47980.2517 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.54890.51620.1486<br>0.47320.49370.1198<br>0.56920.58000.2550<br>0.56560.56540.2316<br>0.53770.62270.3322 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.37800.54580.1128<br>0.29460.53200.1132<br>0.54660.82380.7538<br>0.54660.82380.7538<br>0.54660.82380.7538 |",0]
["| Methods | CIFAR-10<br>16bits32bits48bits64bits | NUS-WIDE<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.83370.85550.86470.8690 | 0.74580.77480.78310.7898 |","| DTH | 0.81670.83840.84920.8532 | 0.73250.75330.76250.7684 |\n| --- | --- | --- |\n| DSH | 0.82320.82680.83700.8327 | 0.71300.71790.71500.7210 |\n| FastH | 0.63570.68100.69930.7097 | 0.71190.73870.75030.7560 |\n| ITQ-CCA | 0.61030.63480.64670.6577 | 0.70260.72200.72680.7297 |\n| KSH | 0.40300.42450.43600.4423 | 0.69780.71360.71470.7175 |\n| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",1]
["| Methods | CIFAR-10<br>16bits32bits48bits64bits | NUS-WIDE<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.83370.85550.86470.8690 | 0.74580.77480.78310.7898 |","| Method | CIFAR-10 | NUS-WIDE |\n| --- | --- | --- |\n| 16bits24bits32bits48bits | 16bits24bits32bits48bits |  |\n| Ours | 0.9150.9230.9250.926 | 0.7560.7760.7850.799 |\n| DPSH | 0.7630.7810.7950.807 | 0.7150.7220.7360.741 |\n| DRSCH | 0.6150.6220.6290.631 | 0.6180.6220.6230.628 |\n| DSCH | 0.6090.6130.6170.62 | 0.5920.5970.6110.609 |\n| DSRH | 0.6080.6110.6170.618 | 0.6090.6180.6210.631 |\n| DPSH* | 0.9030.8850.9150.911 | N/A |",0]
["| Methods | CIFAR-10<br>16bits32bits48bits64bits | NUS-WIDE<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.83370.85550.86470.8690 | 0.74580.77480.78310.7898 |\n| DTH | 0.81670.83840.84920.8532 | 0.73250.75330.76250.7684 |\n| DSH | 0.82320.82680.83700.8327 | 0.71300.71790.71500.7210 |\n| FastH | 0.63570.68100.69930.7097 | 0.71190.73870.75030.7560 |\n| ITQ-CCA | 0.61030.63480.64670.6577 | 0.70260.72200.72680.7297 |","| KSH | 0.40300.42450.43600.4423 | 0.69780.71360.71470.7175 |\n| --- | --- | --- |\n| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",1]
["| Methods | CIFAR-10<br>16bits32bits48bits64bits | NUS-WIDE<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.83370.85550.86470.8690 | 0.74580.77480.78310.7898 |\n| DTH | 0.81670.83840.84920.8532 | 0.73250.75330.76250.7684 |\n| DSH | 0.82320.82680.83700.8327 | 0.71300.71790.71500.7210 |\n| FastH | 0.63570.68100.69930.7097 | 0.71190.73870.75030.7560 |\n| ITQ-CCA | 0.61030.63480.64670.6577 | 0.70260.72200.72680.7297 |","| DSCH | 0.6090.6130.6170.62 | 0.5920.5970.6110.609 |\n| --- | --- | --- |\n| DSRH | 0.6080.6110.6170.618 | 0.6090.6180.6210.631 |\n| DPSH* | 0.9030.8850.9150.911 | N/A |",0]
["| Data | r | s | t | nnz(A) | nnz(B) | nnz(C) |\n| --- | --- | --- | --- | --- | --- | --- |\n| square | 1.5E5 | 1.5E5 | 1.5E5 | 6E5 | 6E5 | 2.4E6 |\n| tall | 3E5 | 1.5E5 | 3E6 | 6E5 | 6E5 | 2.4E6 |","| fat | 1.5E5 | 3E5 | 1.5E5 | 6E5 | 6E5 | 1.2E6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| amazon-08/web-google | 735320 | 735323 | 916428 | 5158379 | 4101329 | 28679400 |\n| cont1/cont11 | 1918396 | 1468599 | 1961392 | 2592597 | 5382995 | 10254724 |\n| cit-patents/patents | 3774768 | 3774768 | 3774768 | 16518948 | 14970767 | 64796579 |\n| hugetrace-00/-01 | 4588484 | 4588484 | 12057440 | 13758266 | 13763443 | 38255405 |",1]
["| Data | r | s | t | nnz(A) | nnz(B) | nnz(C) |\n| --- | --- | --- | --- | --- | --- | --- |\n| square | 1.5E5 | 1.5E5 | 1.5E5 | 6E5 | 6E5 | 2.4E6 |\n| tall | 3E5 | 1.5E5 | 3E6 | 6E5 | 6E5 | 2.4E6 |","|  | ax1 | bx2 | ax+bx12 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| latencyperiod | a | R | b | R | a | b | R |\n| papers |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 |\n| patents |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 2.4686<br>0.7454 | 0.006<br>0.1431 | -<br>0.27 | -<br>0.1013 | 1.8833<br>0.4833 | 0.3935<br>0.1254 | 0.0389<br>0.1803 |\n| legal |  |  |  |  |  |  |  |\n| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301 | 0.5464 |",0]
["| Data | r | s | t | nnz(A) | nnz(B) | nnz(C) |\n| --- | --- | --- | --- | --- | --- | --- |\n| square | 1.5E5 | 1.5E5 | 1.5E5 | 6E5 | 6E5 | 2.4E6 |\n| tall | 3E5 | 1.5E5 | 3E6 | 6E5 | 6E5 | 2.4E6 |\n| fat | 1.5E5 | 3E5 | 1.5E5 | 6E5 | 6E5 | 1.2E6 |\n| amazon-08/web-google | 735320 | 735323 | 916428 | 5158379 | 4101329 | 28679400 |","| cont1/cont11 | 1918396 | 1468599 | 1961392 | 2592597 | 5382995 | 10254724 |\n| --- | --- | --- | --- | --- | --- | --- |\n| cit-patents/patents | 3774768 | 3774768 | 3774768 | 16518948 | 14970767 | 64796579 |\n| hugetrace-00/-01 | 4588484 | 4588484 | 12057440 | 13758266 | 13763443 | 38255405 |",1]
["| Data | r | s | t | nnz(A) | nnz(B) | nnz(C) |\n| --- | --- | --- | --- | --- | --- | --- |\n| square | 1.5E5 | 1.5E5 | 1.5E5 | 6E5 | 6E5 | 2.4E6 |\n| tall | 3E5 | 1.5E5 | 3E6 | 6E5 | 6E5 | 2.4E6 |\n| fat | 1.5E5 | 3E5 | 1.5E5 | 6E5 | 6E5 | 1.2E6 |\n| amazon-08/web-google | 735320 | 735323 | 916428 | 5158379 | 4101329 | 28679400 |","| patents |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LP=2yrs<br>LP=5yrs | 2.4686<br>0.7454 | 0.006<br>0.1431 | -<br>0.27 | -<br>0.1013 | 1.8833<br>0.4833 | 0.3935<br>0.1254 | 0.0389<br>0.1803 |\n| legal |  |  |  |  |  |  |  |\n| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301 | 0.5464 |",0]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |","| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>62.2 |\n| --- | --- |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| Two-stageHierarchicalModel | 81.5 |",1]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |","| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |\n| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>64.0 |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| Two-stageHierarchicalModel | 81.5 |",0]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |","| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>62.2 |\n| --- | --- |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| Two-stageHierarchicalModel | 81.5 |",1]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |","| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>64.0 |\n| --- | --- |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| Two-stageHierarchicalModel | 81.5 |",0]
["| Model | mAP(iou=0.1) |\n| --- | --- |\n| SelectiveSearch(withFCNClassiﬁer) | - |","| SlidingWindow(withFCNClassiﬁer) | 0.278 |\n| --- | --- |\n| PyramidFCNModelwithoutAE | 0.2805 |\n| PyramidFCNModelwithConvAE | 0.3069 |",1]
["| Model | mAP(iou=0.1) |\n| --- | --- |\n| SelectiveSearch(withFCNClassiﬁer) | - |","| Model | 3questions | 4questions |\n| --- | --- | --- |\n| Tree | 0.9767 | 0.9683 |\n| TreeU | 0.9913 | 0.9887 |\n| fMF | 0.9509 | 0.9480 |\n| Q-Embeddingmodel | 0.9507 | 0.9486 |\n| Q-Ratingmodel | 0.9472 | 0.9469 |",0]
["| Model | mAP(iou=0.1) |\n| --- | --- |\n| SelectiveSearch(withFCNClassiﬁer) | - |","| SlidingWindow(withFCNClassiﬁer) | 0.278 |\n| --- | --- |\n| PyramidFCNModelwithoutAE | 0.2805 |\n| PyramidFCNModelwithConvAE | 0.3069 |",1]
["| Model | mAP(iou=0.1) |\n| --- | --- |\n| SelectiveSearch(withFCNClassiﬁer) | - |","| Q-Embeddingmodel | 0.9507 | 0.9486 |\n| --- | --- | --- |\n| Q-Ratingmodel | 0.9472 | 0.9469 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |","| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |\n| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |\n| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |","| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |","| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |\n| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |\n| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |\n| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |\n| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |\n| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |","| kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |\n| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |\n| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 10 | 10 | 20 | 20 | 3 | 5/15 | 5/5 | 10/5 |\n| kr-vs-kp | 8 | 8 | 19 | 19 | 7 | 10/25 | 5/15 | 5/15 |\n| madelon | 5 | 5 | 6 | 5 | 6 | 25/20 | 5/15 | 20/20 |\n| gisstee | 295 | 294 | 1384 | 1402 | 2 | 15/20 | 25/25 | 25/20 |\n| spambase | 24 | 24 | 45 | 45 | 8 | 20/25 | 15/20 | 10/15 |\n| bankrupty | 29 | 28 | 60 | 56 | 9 | 15/20 | 5/15 | 5/25 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |","| kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |\n| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |\n| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |","| kr-vs-kp | 8 | 8 | 19 | 19 | 7 | 10/25 | 5/15 | 5/15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| madelon | 5 | 5 | 6 | 5 | 6 | 25/20 | 5/15 | 20/20 |\n| gisstee | 295 | 294 | 1384 | 1402 | 2 | 15/20 | 25/25 | 25/20 |\n| spambase | 24 | 24 | 45 | 45 | 8 | 20/25 | 15/20 | 10/15 |\n| bankrupty | 29 | 28 | 60 | 56 | 9 | 15/20 | 5/15 | 5/25 |",0]
["| Setting/Pmal | 0.50.60.70.80.91.0 |\n| --- | --- |\n| n=16,α=0.4375,T=4 | 0.01310.02210.03740.07770.18530.3162 |\n| n=11,α=0.4545,T=9 | 0.02170.02780.03020.04440.13200.3708 |","| n=10,α=0.4,T=10 | 0.01760.02110.02000.03110.10030.2663 |\n| --- | --- |\n| n=5,α=0.4,T=15 | 0.08140.09510.09190.08690.16400.3189 |",1]
["| Setting/Pmal | 0.50.60.70.80.91.0 |\n| --- | --- |\n| n=16,α=0.4375,T=4 | 0.01310.02210.03740.07770.18530.3162 |\n| n=11,α=0.4545,T=9 | 0.02170.02780.03020.04440.13200.3708 |","| T=1 | T=3 |\n| --- | --- |\n| 1.6839 | 0.7567 |\n| 1.6639 | 0.7684 |\n| 1.6090 | 0.8258 |\n| 1.6793 | 0.8017 |\n| 1.5191 | 0.7784 |\n| 1.4991 | 0.8218 |\n| 1.4101 | 0.8027 |\n| 1.3879 | 0.7786 |\n| 1.4162 | 0.7408 |",0]
["| Setting/Pmal | 0.50.60.70.80.91.0 |\n| --- | --- |\n| n=16,α=0.4375,T=4 | 0.01310.02210.03740.07770.18530.3162 |","| n=11,α=0.4545,T=9 | 0.02170.02780.03020.04440.13200.3708 |\n| --- | --- |\n| n=10,α=0.4,T=10 | 0.01760.02110.02000.03110.10030.2663 |\n| n=5,α=0.4,T=15 | 0.08140.09510.09190.08690.16400.3189 |",1]
["| Setting/Pmal | 0.50.60.70.80.91.0 |\n| --- | --- |\n| n=16,α=0.4375,T=4 | 0.01310.02210.03740.07770.18530.3162 |","| 1.5191 | 0.7784 |\n| --- | --- |\n| 1.4991 | 0.8218 |\n| 1.4101 | 0.8027 |\n| 1.3879 | 0.7786 |\n| 1.4162 | 0.7408 |",0]
["|  | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(3.589e-4)<br>0.7115<br>(1.704e-3) |\n| K=4 | AC<br>NMI | 0.7140<br>(8.518e-4)<br>0.4654<br>(1.726e-3) | 0.6520<br>(8.611e-3)<br>0.4181<br>(3.279e-3) | 0.6780<br>(4.138e-4)<br>0.4446<br>(5.964e-4) | 0.7195<br>(5.325e-4)<br>0.4680<br>(1.181e-3) | 0.6575<br>(3.237e-3)<br>0.4071<br>(3.278e-3) |\n| K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) |","| K=6 | AC<br>NMI | 0.5370<br>(4.249e-3)<br>0.4007<br>(9.891e-4) | 0.5337<br>(3.626e-3)<br>0.3852<br>(6.482e-4) | 0.5156<br>(3.812e-3)<br>0.3980<br>(1.197e-3) | 0.5466<br>(4.257e-3)<br>0.3962<br>(1.507e-3) | 0.4983<br>(1.061e-3)<br>0.3670<br>(1.348e-3) |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=7 | AC<br>NMI | 0.5988<br>(8.816e-5)<br>0.5382<br>(7.593e-4) | 0.5974<br>(3.295e-3)<br>0.5378<br>(1.607e-3) | 0.5762<br>(1.051e-3)<br>0.4972<br>(7.238e-4) | 0.5940<br>(3.704e-3)<br>0.5342<br>(9.776e-4) | 0.6585<br>(1.789e-3)<br>0.5629<br>(9.366e-4) |\n| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) |\n| K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) |\n| K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |",1]
["|  | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(3.589e-4)<br>0.7115<br>(1.704e-3) |\n| K=4 | AC<br>NMI | 0.7140<br>(8.518e-4)<br>0.4654<br>(1.726e-3) | 0.6520<br>(8.611e-3)<br>0.4181<br>(3.279e-3) | 0.6780<br>(4.138e-4)<br>0.4446<br>(5.964e-4) | 0.7195<br>(5.325e-4)<br>0.4680<br>(1.181e-3) | 0.6575<br>(3.237e-3)<br>0.4071<br>(3.278e-3) |\n| K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) |","| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["|  | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(3.589e-4)<br>0.7115<br>(1.704e-3) |\n| K=4 | AC<br>NMI | 0.7140<br>(8.518e-4)<br>0.4654<br>(1.726e-3) | 0.6520<br>(8.611e-3)<br>0.4181<br>(3.279e-3) | 0.6780<br>(4.138e-4)<br>0.4446<br>(5.964e-4) | 0.7195<br>(5.325e-4)<br>0.4680<br>(1.181e-3) | 0.6575<br>(3.237e-3)<br>0.4071<br>(3.278e-3) |\n| K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) |","| K=6 | AC<br>NMI | 0.5370<br>(4.249e-3)<br>0.4007<br>(9.891e-4) | 0.5337<br>(3.626e-3)<br>0.3852<br>(6.482e-4) | 0.5156<br>(3.812e-3)<br>0.3980<br>(1.197e-3) | 0.5466<br>(4.257e-3)<br>0.3962<br>(1.507e-3) | 0.4983<br>(1.061e-3)<br>0.3670<br>(1.348e-3) |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=7 | AC<br>NMI | 0.5988<br>(8.816e-5)<br>0.5382<br>(7.593e-4) | 0.5974<br>(3.295e-3)<br>0.5378<br>(1.607e-3) | 0.5762<br>(1.051e-3)<br>0.4972<br>(7.238e-4) | 0.5940<br>(3.704e-3)<br>0.5342<br>(9.776e-4) | 0.6585<br>(1.789e-3)<br>0.5629<br>(9.366e-4) |\n| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) |\n| K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) |\n| K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |",1]
["|  | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(3.589e-4)<br>0.7115<br>(1.704e-3) |\n| K=4 | AC<br>NMI | 0.7140<br>(8.518e-4)<br>0.4654<br>(1.726e-3) | 0.6520<br>(8.611e-3)<br>0.4181<br>(3.279e-3) | 0.6780<br>(4.138e-4)<br>0.4446<br>(5.964e-4) | 0.7195<br>(5.325e-4)<br>0.4680<br>(1.181e-3) | 0.6575<br>(3.237e-3)<br>0.4071<br>(3.278e-3) |\n| K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) |","| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| --- | --- | --- |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| ProﬁlingMethodatSlidingwindow | 50.59 | . | .00 |","| ProﬁlingMethodatExponentialdecay | 27.92 | . | .00 |\n| --- | --- | --- | --- |\n| DecayFunctionatCF-IDF | 2.79 | . | .10 |\n| DecayFunctionatHCF-IDF | 1.78 | . | .18 |\n| DecayFunctionatLDA | 4.90 | . | .03 |",1]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| ProﬁlingMethodatSlidingwindow | 50.59 | . | .00 |","| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.06 | . | .81 |\n| DecayFunctionatAll | 2.28 | . | .13 |\n| DocumentContentatSlidingwindow | 9.96 | . | .00 |\n| DocumentContentatExponentialdecay | 1.19 | . | .28 |",0]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| ProﬁlingMethodatSlidingwindow | 50.59 | . | .00 |","| ProﬁlingMethodatExponentialdecay | 27.92 | . | .00 |\n| --- | --- | --- | --- |\n| DecayFunctionatCF-IDF | 2.79 | . | .10 |\n| DecayFunctionatHCF-IDF | 1.78 | . | .18 |\n| DecayFunctionatLDA | 4.90 | . | .03 |",1]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| ProﬁlingMethodatSlidingwindow | 50.59 | . | .00 |","| DecayFunctionatAll | 2.28 | . | .13 |\n| --- | --- | --- | --- |\n| DocumentContentatSlidingwindow | 9.96 | . | .00 |\n| DocumentContentatExponentialdecay | 1.19 | . | .28 |",0]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |","| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",1]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |\n| --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |","| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",0]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |","| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",1]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |","| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",0]
["| Method | MIRFLICKR25K | CIFAR-10 |\n| --- | --- | --- |\n| 8bits16bits24bits32bits | 8bits16bits24bits32bits |  |\n| LSH<br>ITQ<br>KSH<br>SDH<br>FastH | 0.57210.58450.58260.5863<br>0.64480.64720.65150.6517<br>0.68430.69680.70010.7035<br>0.72680.72920.73470.7416<br>0.74530.77480.79090.7970 | 0.10870.11370.11720.1331<br>0.17670.18390.18580.1902<br>0.30960.35990.37660.3892<br>0.33710.47790.51420.5200<br>0.42530.49090.51510.5395 |","| DNNH<br>DSH | 0.74980.76220.77450.7670<br>0.71270.72910.73040.7353 | 0.58030.59590.63290.6358<br>0.74700.76230.77730.8019 |\n| --- | --- | --- |\n| DOH | 0.86070.87390.88380.8863 | 0.86240.86860.87320.8702 |",1]
["| Method | MIRFLICKR25K | CIFAR-10 |\n| --- | --- | --- |\n| 8bits16bits24bits32bits | 8bits16bits24bits32bits |  |\n| LSH<br>ITQ<br>KSH<br>SDH<br>FastH | 0.57210.58450.58260.5863<br>0.64480.64720.65150.6517<br>0.68430.69680.70010.7035<br>0.72680.72920.73470.7416<br>0.74530.77480.79090.7970 | 0.10870.11370.11720.1331<br>0.17670.18390.18580.1902<br>0.30960.35990.37660.3892<br>0.33710.47790.51420.5200<br>0.42530.49090.51510.5395 |","| Methods | CIFAR-10<br>16bits32bits48bits64bits | NUS-WIDE<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.83370.85550.86470.8690 | 0.74580.77480.78310.7898 |\n| DTH | 0.81670.83840.84920.8532 | 0.73250.75330.76250.7684 |\n| DSH | 0.82320.82680.83700.8327 | 0.71300.71790.71500.7210 |\n| FastH | 0.63570.68100.69930.7097 | 0.71190.73870.75030.7560 |\n| ITQ-CCA | 0.61030.63480.64670.6577 | 0.70260.72200.72680.7297 |\n| KSH | 0.40300.42450.43600.4423 | 0.69780.71360.71470.7175 |\n| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",0]
["| Method | MIRFLICKR25K | CIFAR-10 |\n| --- | --- | --- |\n| 8bits16bits24bits32bits | 8bits16bits24bits32bits |  |\n| LSH<br>ITQ<br>KSH<br>SDH<br>FastH | 0.57210.58450.58260.5863<br>0.64480.64720.65150.6517<br>0.68430.69680.70010.7035<br>0.72680.72920.73470.7416<br>0.74530.77480.79090.7970 | 0.10870.11370.11720.1331<br>0.17670.18390.18580.1902<br>0.30960.35990.37660.3892<br>0.33710.47790.51420.5200<br>0.42530.49090.51510.5395 |","| DNNH<br>DSH | 0.74980.76220.77450.7670<br>0.71270.72910.73040.7353 | 0.58030.59590.63290.6358<br>0.74700.76230.77730.8019 |\n| --- | --- | --- |\n| DOH | 0.86070.87390.88380.8863 | 0.86240.86860.87320.8702 |",1]
["| Method | MIRFLICKR25K | CIFAR-10 |\n| --- | --- | --- |\n| 8bits16bits24bits32bits | 8bits16bits24bits32bits |  |\n| LSH<br>ITQ<br>KSH<br>SDH<br>FastH | 0.57210.58450.58260.5863<br>0.64480.64720.65150.6517<br>0.68430.69680.70010.7035<br>0.72680.72920.73470.7416<br>0.74530.77480.79090.7970 | 0.10870.11370.11720.1331<br>0.17670.18390.18580.1902<br>0.30960.35990.37660.3892<br>0.33710.47790.51420.5200<br>0.42530.49090.51510.5395 |","| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| --- | --- | --- |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",0]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |","| 002 | Faulkner,Hemingway,Melville |\n| --- | --- |\n| 003 | Joyce,Proust |\n| 004 | Hemingway,Melville |\n| 005 | Flaubert,Zola |\n| 006 | Hemingway,Golding |",1]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |","| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |\n| 002 | Faulkner,Hemingway,Melville |\n| 003 | Joyce,Proust |\n| 004 | Hemingway,Melville |\n| 005 | Flaubert,Zola |\n| 006 | Hemingway,Golding |",0]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |","| 002 | Faulkner,Hemingway,Melville |\n| --- | --- |\n| 003 | Joyce,Proust |\n| 004 | Hemingway,Melville |\n| 005 | Flaubert,Zola |\n| 006 | Hemingway,Golding |",1]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |","| 002 | Faulkner,Hemingway,Melville |\n| --- | --- |\n| 003 | Joyce,Proust |\n| 004 | Hemingway,Melville |\n| 005 | Flaubert,Zola |\n| 006 | Hemingway,Golding |",0]
["| Activeresources | Passiveresources |  |\n| --- | --- | --- |\n| AR1 | User | Physicalpassiveresources |","| AR2 | TransactionsManager | PR1 | MainProcessor |\n| --- | --- | --- | --- |\n| AR3 | ObjectManager | PR2 | MainMemory |\n| AR4 | BuﬀeringManager | PR3 | I/OProcessorandDisk(s) |\n| AR5 | I/OSubsystem | Logicalpassiveresources |  |\n| AR6 | ClusteringManager | PR4 | Scheduler |",1]
["| Activeresources | Passiveresources |  |\n| --- | --- | --- |\n| AR1 | User | Physicalpassiveresources |","| AC | AuthenticatedModule |\n| --- | --- |\n| AIK | AttestationIdentityKey |\n| CA | CertiﬁcateAuthority |\n| DRTM | DynamicRootofTrustforMeasurement |\n| MITM | Man-in-the-Middle |\n| MLE | MeasuredLaunchEnvironment |\n| PAL | ProgramApplicationLogic |\n| PCR | PlatformConﬁgurationRegister |\n| SKINIT | SecureKernelInit |\n| SLB | SecureLoaderBlock |\n| SML | StoredMeasurementLog |\n| SRK | StorageRootKey |\n| TCB | TrustedComputingBase |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",0]
["| Activeresources | Passiveresources |  |  |\n| --- | --- | --- | --- |\n| AR1 | User | Physicalpassiveresources |  |\n| AR2 | TransactionsManager | PR1 | MainProcessor |","| AR3 | ObjectManager | PR2 | MainMemory |\n| --- | --- | --- | --- |\n| AR4 | BuﬀeringManager | PR3 | I/OProcessorandDisk(s) |\n| AR5 | I/OSubsystem | Logicalpassiveresources |  |\n| AR6 | ClusteringManager | PR4 | Scheduler |",1]
["| Activeresources | Passiveresources |  |  |\n| --- | --- | --- | --- |\n| AR1 | User | Physicalpassiveresources |  |\n| AR2 | TransactionsManager | PR1 | MainProcessor |","| TCB | TrustedComputingBase |\n| --- | --- |\n| TPM | TrustedPlatformModule |\n| TXT | TrustedExecutionTechnology |\n| PM | ProxyModule |\n| DB | Database |",0]
["| Top1<br>ResNet | SUN | CUB | AWA | aPY |\n| --- | --- | --- | --- | --- |\n| HMaccaccsu | HMaccaccsu | HMaccaccsu | HMaccaccsu |  |","| DAP<br>CONSE<br>CMT<br>SSE<br>LATEM<br>ALE<br>DEVISE<br>SJE<br>ESZSL<br>SYNC | 7.225.14.2<br>11.639.96.8<br>13.328.08.7<br>4.036.42.1<br>19.528.814.7<br>26.333.121.8<br>20.927.416.9<br>19.830.514.7<br>15.827.911.0<br>13.443.37.9 | 3.367.91.7<br>3.172.21.6<br>8.760.14.7<br>14.446.98.5<br>24.057.315.2<br>34.462.823.7<br>32.853.023.8<br>33.659.223.5<br>21.063.812.6<br>19.870.911.5 | 0.088.70.0<br>0.888.60.4<br>15.386.98.4<br>12.980.57.0<br>13.371.77.3<br>27.576.116.8<br>22.468.713.4<br>19.674.611.3<br>12.175.66.6<br>16.287.38.9 | 9.078.34.8<br>0.091.20.0<br>19.074.210.9<br>0.478.90.2<br>0.273.00.1<br>8.773.74.6<br>9.276.94.9<br>6.955.73.7<br>4.670.12.4<br>13.366.67.4 |\n| --- | --- | --- | --- | --- |\n| OurGZSL | 31.327.835.8 | 43.341.744.9 | 54.568.645.2 | 37.059.526.8 |\n| OurZSL | 49.7 | 53.8 | 52.6 | 39.3 |",1]
["| Top1<br>ResNet | SUN | CUB | AWA | aPY |\n| --- | --- | --- | --- | --- |\n| HMaccaccsu | HMaccaccsu | HMaccaccsu | HMaccaccsu |  |","| Top1:G | AwA | CUB |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| HM | accs | accu | HM | accs | accu |  |\n| DAP<br>IAP<br>ConSE<br>SynC<br>MFMR | 4.7<br>3.3<br>16.9<br>0.8<br>29.60 | 77.9<br>76.8<br>75.9<br>81.0<br>75.6 | 2.4<br>1.7<br>9.5<br>0.4<br>18.4 | 7.5<br>2.0<br>3.5<br>22.3<br>- | 55.1<br>69.4<br>69.9<br>72.0<br>- | 4.0<br>1.0<br>1.8<br>13.2<br>- |\n| OurGZSL | 50.8 | 43.2 | 61.7 | 29.5 | 23.4 | 39.9 |\n| OurZSL | 76.2 | 44.0 |  |  |  |  |",0]
["| Top1<br>ResNet | SUN | CUB | AWA | aPY |\n| --- | --- | --- | --- | --- |\n| HMaccaccsu | HMaccaccsu | HMaccaccsu | HMaccaccsu |  |\n| DAP<br>CONSE<br>CMT<br>SSE<br>LATEM<br>ALE<br>DEVISE<br>SJE<br>ESZSL<br>SYNC | 7.225.14.2<br>11.639.96.8<br>13.328.08.7<br>4.036.42.1<br>19.528.814.7<br>26.333.121.8<br>20.927.416.9<br>19.830.514.7<br>15.827.911.0<br>13.443.37.9 | 3.367.91.7<br>3.172.21.6<br>8.760.14.7<br>14.446.98.5<br>24.057.315.2<br>34.462.823.7<br>32.853.023.8<br>33.659.223.5<br>21.063.812.6<br>19.870.911.5 | 0.088.70.0<br>0.888.60.4<br>15.386.98.4<br>12.980.57.0<br>13.371.77.3<br>27.576.116.8<br>22.468.713.4<br>19.674.611.3<br>12.175.66.6<br>16.287.38.9 | 9.078.34.8<br>0.091.20.0<br>19.074.210.9<br>0.478.90.2<br>0.273.00.1<br>8.773.74.6<br>9.276.94.9<br>6.955.73.7<br>4.670.12.4<br>13.366.67.4 |","| OurGZSL | 31.327.835.8 | 43.341.744.9 | 54.568.645.2 | 37.059.526.8 |\n| --- | --- | --- | --- | --- |\n| OurZSL | 49.7 | 53.8 | 52.6 | 39.3 |",1]
["| Top1<br>ResNet | SUN | CUB | AWA | aPY |\n| --- | --- | --- | --- | --- |\n| HMaccaccsu | HMaccaccsu | HMaccaccsu | HMaccaccsu |  |\n| DAP<br>CONSE<br>CMT<br>SSE<br>LATEM<br>ALE<br>DEVISE<br>SJE<br>ESZSL<br>SYNC | 7.225.14.2<br>11.639.96.8<br>13.328.08.7<br>4.036.42.1<br>19.528.814.7<br>26.333.121.8<br>20.927.416.9<br>19.830.514.7<br>15.827.911.0<br>13.443.37.9 | 3.367.91.7<br>3.172.21.6<br>8.760.14.7<br>14.446.98.5<br>24.057.315.2<br>34.462.823.7<br>32.853.023.8<br>33.659.223.5<br>21.063.812.6<br>19.870.911.5 | 0.088.70.0<br>0.888.60.4<br>15.386.98.4<br>12.980.57.0<br>13.371.77.3<br>27.576.116.8<br>22.468.713.4<br>19.674.611.3<br>12.175.66.6<br>16.287.38.9 | 9.078.34.8<br>0.091.20.0<br>19.074.210.9<br>0.478.90.2<br>0.273.00.1<br>8.773.74.6<br>9.276.94.9<br>6.955.73.7<br>4.670.12.4<br>13.366.67.4 |","| OurGZSL | 50.8 | 43.2 | 61.7 | 29.5 | 23.4 | 39.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OurZSL | 76.2 | 44.0 |  |  |  |  |",0]
["| QubusQuantumRepeater |  |\n| --- | --- |\n| Numberofqubits<br>perrepeaterlinkconnection | 25transmitter,<br>25receiver |\n| Numberofqubits<br>teleported(lengthofsimulation)<br>Finaltargetﬁdelity | 200qubits<br>F≥0.98 |","| OpticalFiber |  |\n| --- | --- |\n| Length | 20km |\n| Signalloss | 3.4∼4.4dB/20km |",1]
["| QubusQuantumRepeater |  |\n| --- | --- |\n| Numberofqubits<br>perrepeaterlinkconnection | 25transmitter,<br>25receiver |\n| Numberofqubits<br>teleported(lengthofsimulation)<br>Finaltargetﬁdelity | 200qubits<br>F≥0.98 |","| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| QubusQuantumRepeater |  |\n| --- | --- |\n| Numberofqubits<br>perrepeaterlinkconnection | 25transmitter,<br>25receiver |\n| Numberofqubits<br>teleported(lengthofsimulation)<br>Finaltargetﬁdelity | 200qubits<br>F≥0.98 |\n| OpticalFiber |  |","| Length | 20km |\n| --- | --- |\n| Signalloss | 3.4∼4.4dB/20km |",1]
["| QubusQuantumRepeater |  |\n| --- | --- |\n| Numberofqubits<br>perrepeaterlinkconnection | 25transmitter,<br>25receiver |\n| Numberofqubits<br>teleported(lengthofsimulation)<br>Finaltargetﬁdelity | 200qubits<br>F≥0.98 |\n| OpticalFiber |  |","| Bf | 100MHz | BandwidthofF-APs |\n| --- | --- | --- |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Protestors | H | I-POMDP | Many-Agent | Exp.Value |\n| --- | --- | --- | --- | --- |\n| 2 | 2<br>3 | 1s<br>19s | 0.55s<br>17s | 77.42<br>222.42 |","| 3 | 2<br>3 | 3s<br>38s | 0.56s<br>17s | 77.34<br>222.32 |\n| --- | --- | --- | --- | --- |\n| 4 | 2<br>3 | 39s<br>223s | 0.57s<br>17s | 76.96<br>221.87 |\n| 5 | 2<br>3 | 603s<br>2,480s | 0.60s<br>18s | 76.88<br>221.77 |",1]
["| Protestors | H | I-POMDP | Many-Agent | Exp.Value |\n| --- | --- | --- | --- | --- |\n| 2 | 2<br>3 | 1s<br>19s | 0.55s<br>17s | 77.42<br>222.42 |","| Numberofproposals | 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SS | 59.00 | 64.60 | 70.20 | 74.20 | 77.50 | 78.40 |\n| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 |\n| MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 |\n| SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 |\n| FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |",0]
["| Protestors | H | I-POMDP | Many-Agent | Exp.Value |\n| --- | --- | --- | --- | --- |\n| 2 | 2<br>3 | 1s<br>19s | 0.55s<br>17s | 77.42<br>222.42 |\n| 3 | 2<br>3 | 3s<br>38s | 0.56s<br>17s | 77.34<br>222.32 |","| 4 | 2<br>3 | 39s<br>223s | 0.57s<br>17s | 76.96<br>221.87 |\n| --- | --- | --- | --- | --- |\n| 5 | 2<br>3 | 603s<br>2,480s | 0.60s<br>18s | 76.88<br>221.77 |",1]
["| Protestors | H | I-POMDP | Many-Agent | Exp.Value |\n| --- | --- | --- | --- | --- |\n| 2 | 2<br>3 | 1s<br>19s | 0.55s<br>17s | 77.42<br>222.42 |\n| 3 | 2<br>3 | 3s<br>38s | 0.56s<br>17s | 77.34<br>222.32 |","| MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 |\n| FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |",0]
["| Query | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| NG1 | 590 | 2489 | 10056 | 2475 |\n| NG2 | 3 | 10 | 24 | 11 |\n| NG3 | 63 | 128 | 256 | 248 |","| NG4 | 1839 | N/A | N/A | N/A |\n| --- | --- | --- | --- | --- |\n| NG5 | 204 | 702 | 2965 | 94 |\n| NG6 | 355 | 2474 | 10225 | 2242 |\n| NG7 | 19 | 33 | 76 | 37 |\n| NG8 | 142 | 124 | 256 | 241 |\n| NG11 | 637 | 2645 | 10406 | 2269 |\n| NG12 | 17 | 36 | 79 | 37 |\n| NG13 | 64 | 128 | 265 | 241 |\n| NG14 | 720 | 5886 | 11777 | 2413 |\n| NG15 | 678 | 2714 | 10696 | 2334 |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",1]
["| Query | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| NG1 | 590 | 2489 | 10056 | 2475 |\n| NG2 | 3 | 10 | 24 | 11 |\n| NG3 | 63 | 128 | 256 | 248 |","| Query | MEM1 | MEM2 | MEM3 |\n| --- | --- | --- | --- |\n| NG1 | 446 | 1757 | 7057 |\n| NG2 | 3 | 6 | 13 |\n| NG3 | 52 | 105 | 203 |\n| NG4 | 0 | 0 | 0 |\n| NG5 | 27 | 104 | 465 |\n| NG6 | 434 | 1666 | 6974 |\n| NG7 | 11 | 22 | 46 |\n| NG8 | 53 | 100 | 202 |\n| NG11 | 533 | 1773 | 7208 |\n| NG12 | 12 | 23 | 61 |\n| NG13 | 53 | 109 | 220 |\n| NG14 | 446 | 1774 | 7106 |\n| NG15 | 454 | 1869 | 7367 |\n| NG16 | 12 | 28 | 49 |\n| NG17 | 55 | 135 | 227 |",0]
["| Query | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| NG1 | 590 | 2489 | 10056 | 2475 |\n| NG2 | 3 | 10 | 24 | 11 |","| NG3 | 63 | 128 | 256 | 248 |\n| --- | --- | --- | --- | --- |\n| NG4 | 1839 | N/A | N/A | N/A |\n| NG5 | 204 | 702 | 2965 | 94 |\n| NG6 | 355 | 2474 | 10225 | 2242 |\n| NG7 | 19 | 33 | 76 | 37 |\n| NG8 | 142 | 124 | 256 | 241 |\n| NG11 | 637 | 2645 | 10406 | 2269 |\n| NG12 | 17 | 36 | 79 | 37 |\n| NG13 | 64 | 128 | 265 | 241 |\n| NG14 | 720 | 5886 | 11777 | 2413 |\n| NG15 | 678 | 2714 | 10696 | 2334 |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",1]
["| Query | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| NG1 | 590 | 2489 | 10056 | 2475 |\n| NG2 | 3 | 10 | 24 | 11 |","| NG8 | 53 | 100 | 202 |\n| --- | --- | --- | --- |\n| NG11 | 533 | 1773 | 7208 |\n| NG12 | 12 | 23 | 61 |\n| NG13 | 53 | 109 | 220 |\n| NG14 | 446 | 1774 | 7106 |\n| NG15 | 454 | 1869 | 7367 |\n| NG16 | 12 | 28 | 49 |\n| NG17 | 55 | 135 | 227 |",0]
["| r | (i,j)00 | Z |\n| --- | --- | --- |\n| 0,4,7,8,12,13,15,16,21,22,23 | (1,11) | 010000100101110000011110 |\n| 1,2,3,5,10,17,18,19,20,21 | (1,6) | 111100100001001011100000 |","| 0,1,6,9,14,22,23 | (6,9) | 000111010101000101001100 |\n| --- | --- | --- |\n| 11 | (3,3) | 000110011101001011001011 |",1]
["| r | (i,j)00 | Z |\n| --- | --- | --- |\n| 0,4,7,8,12,13,15,16,21,22,23 | (1,11) | 010000100101110000011110 |\n| 1,2,3,5,10,17,18,19,20,21 | (1,6) | 111100100001001011100000 |","| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |\n| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["| r | (i,j)00 | Z |\n| --- | --- | --- |\n| 0,4,7,8,12,13,15,16,21,22,23 | (1,11) | 010000100101110000011110 |\n| 1,2,3,5,10,17,18,19,20,21 | (1,6) | 111100100001001011100000 |","| 0,1,6,9,14,22,23 | (6,9) | 000111010101000101001100 |\n| --- | --- | --- |\n| 11 | (3,3) | 000110011101001011001011 |",1]
["| r | (i,j)00 | Z |\n| --- | --- | --- |\n| 0,4,7,8,12,13,15,16,21,22,23 | (1,11) | 010000100101110000011110 |\n| 1,2,3,5,10,17,18,19,20,21 | (1,6) | 111100100001001011100000 |","| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 10 | 10 | 20 | 20 | 3 | 5/15 | 5/5 | 10/5 |\n| kr-vs-kp | 8 | 8 | 19 | 19 | 7 | 10/25 | 5/15 | 5/15 |\n| madelon | 5 | 5 | 6 | 5 | 6 | 25/20 | 5/15 | 20/20 |\n| gisstee | 295 | 294 | 1384 | 1402 | 2 | 15/20 | 25/25 | 25/20 |","| spambase | 24 | 24 | 45 | 45 | 8 | 20/25 | 15/20 | 10/15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| bankrupty | 29 | 28 | 60 | 56 | 9 | 15/20 | 5/15 | 5/25 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 10 | 10 | 20 | 20 | 3 | 5/15 | 5/5 | 10/5 |\n| kr-vs-kp | 8 | 8 | 19 | 19 | 7 | 10/25 | 5/15 | 5/15 |\n| madelon | 5 | 5 | 6 | 5 | 6 | 25/20 | 5/15 | 20/20 |\n| gisstee | 295 | 294 | 1384 | 1402 | 2 | 15/20 | 25/25 | 25/20 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |\n| kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |\n| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |\n| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |\n| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 10 | 10 | 20 | 20 | 3 | 5/15 | 5/5 | 10/5 |\n| kr-vs-kp | 8 | 8 | 19 | 19 | 7 | 10/25 | 5/15 | 5/15 |\n| madelon | 5 | 5 | 6 | 5 | 6 | 25/20 | 5/15 | 20/20 |\n| gisstee | 295 | 294 | 1384 | 1402 | 2 | 15/20 | 25/25 | 25/20 |","| spambase | 24 | 24 | 45 | 45 | 8 | 20/25 | 15/20 | 10/15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| bankrupty | 29 | 28 | 60 | 56 | 9 | 15/20 | 5/15 | 5/25 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 10 | 10 | 20 | 20 | 3 | 5/15 | 5/5 | 10/5 |\n| kr-vs-kp | 8 | 8 | 19 | 19 | 7 | 10/25 | 5/15 | 5/15 |\n| madelon | 5 | 5 | 6 | 5 | 6 | 25/20 | 5/15 | 20/20 |\n| gisstee | 295 | 294 | 1384 | 1402 | 2 | 15/20 | 25/25 | 25/20 |","| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 3461.68,938.55 | 1931.83,567.68 | 238.88,112.91 | 159.53,69.42 | 75.95,117.01 | 71.02,76.82 |\n| 2 | 3125.42,361.55 | 5874.41,253.68 | 229.78,104.72 | 137.44,73.58 | 79.16,115.87 | 58.79,82.01 |\n| 3 | 3531.19,564.11 | 7725.46,353.82 | 253.51,103.87 | 162.11,77.08 | 78.73,128.01 | 67.48,77.07 |\n| 4 | 2380.21,400.89 | 2002.35,608.31 | 277.71,134.53 | 180.27,139.32 | 99.29,115.16 | 108.59,150.38 |\n| 5 | 3554.94,656.51 | 2799.42,468.44 | 268.51,105.09 | 165.54,77.78 | 85.77,101.13 | 78.03,72.79 |\n| 6 | 2365.84,472.37 | 1574.86,336.32 | 254.63,95.47 | 165.61,62.83 | 80.25,78.27 | 78.67,57.13 |\n| 7 | 3606.85,729.86 | 3414.06,1730.97 | 282.74,101.62 | 179.79,76.36 | 93.81,104.64 | 84.21,81.32 |\n| 8 | 3332.96,573.66 | 6989.07,625.28 | 278.79,188.84 | 189.94,137.01 | 92.25,92.77 | 85.31,65.44 |\n| 9 | 11958.67,775.88 | 21508.32,752.94 | 250.25,200.03 | 180.95,139.38 | 92.52,99.32 | 72.27,71.75 |","| 10 | 5082.26,731.92 | 9972.58,719.33 | 295.22,168.61 | 190.91,115.41 | 91.92,92.21 | 86.09,59.38 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11 | 8482.27,693.31 | 13728.11,832.69 | 303.83,179.69 | 201.23,162.51 | 89.36,98.12 | 109.38,138.84 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 3461.68,938.55 | 1931.83,567.68 | 238.88,112.91 | 159.53,69.42 | 75.95,117.01 | 71.02,76.82 |\n| 2 | 3125.42,361.55 | 5874.41,253.68 | 229.78,104.72 | 137.44,73.58 | 79.16,115.87 | 58.79,82.01 |\n| 3 | 3531.19,564.11 | 7725.46,353.82 | 253.51,103.87 | 162.11,77.08 | 78.73,128.01 | 67.48,77.07 |\n| 4 | 2380.21,400.89 | 2002.35,608.31 | 277.71,134.53 | 180.27,139.32 | 99.29,115.16 | 108.59,150.38 |\n| 5 | 3554.94,656.51 | 2799.42,468.44 | 268.51,105.09 | 165.54,77.78 | 85.77,101.13 | 78.03,72.79 |\n| 6 | 2365.84,472.37 | 1574.86,336.32 | 254.63,95.47 | 165.61,62.83 | 80.25,78.27 | 78.67,57.13 |\n| 7 | 3606.85,729.86 | 3414.06,1730.97 | 282.74,101.62 | 179.79,76.36 | 93.81,104.64 | 84.21,81.32 |\n| 8 | 3332.96,573.66 | 6989.07,625.28 | 278.79,188.84 | 189.94,137.01 | 92.25,92.77 | 85.31,65.44 |\n| 9 | 11958.67,775.88 | 21508.32,752.94 | 250.25,200.03 | 180.95,139.38 | 92.52,99.32 | 72.27,71.75 |","| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |\n| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |\n| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |\n| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |\n| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |\n| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |\n| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |\n| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 |\n| 9 | 174.44,124.41 | 158.03,90.47 | 474.84,309.11 | 293.31,197.14 | 471.45,348.61 | 273.68,197.46 |\n| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |\n| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 3461.68,938.55 | 1931.83,567.68 | 238.88,112.91 | 159.53,69.42 | 75.95,117.01 | 71.02,76.82 |","| 2 | 3125.42,361.55 | 5874.41,253.68 | 229.78,104.72 | 137.44,73.58 | 79.16,115.87 | 58.79,82.01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3 | 3531.19,564.11 | 7725.46,353.82 | 253.51,103.87 | 162.11,77.08 | 78.73,128.01 | 67.48,77.07 |\n| 4 | 2380.21,400.89 | 2002.35,608.31 | 277.71,134.53 | 180.27,139.32 | 99.29,115.16 | 108.59,150.38 |\n| 5 | 3554.94,656.51 | 2799.42,468.44 | 268.51,105.09 | 165.54,77.78 | 85.77,101.13 | 78.03,72.79 |\n| 6 | 2365.84,472.37 | 1574.86,336.32 | 254.63,95.47 | 165.61,62.83 | 80.25,78.27 | 78.67,57.13 |\n| 7 | 3606.85,729.86 | 3414.06,1730.97 | 282.74,101.62 | 179.79,76.36 | 93.81,104.64 | 84.21,81.32 |\n| 8 | 3332.96,573.66 | 6989.07,625.28 | 278.79,188.84 | 189.94,137.01 | 92.25,92.77 | 85.31,65.44 |\n| 9 | 11958.67,775.88 | 21508.32,752.94 | 250.25,200.03 | 180.95,139.38 | 92.52,99.32 | 72.27,71.75 |\n| 10 | 5082.26,731.92 | 9972.58,719.33 | 295.22,168.61 | 190.91,115.41 | 91.92,92.21 | 86.09,59.38 |\n| 11 | 8482.27,693.31 | 13728.11,832.69 | 303.83,179.69 | 201.23,162.51 | 89.36,98.12 | 109.38,138.84 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 3461.68,938.55 | 1931.83,567.68 | 238.88,112.91 | 159.53,69.42 | 75.95,117.01 | 71.02,76.82 |","| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |\n| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |\n| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |\n| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |\n| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |\n| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |\n| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 |\n| 9 | 174.44,124.41 | 158.03,90.47 | 474.84,309.11 | 293.31,197.14 | 471.45,348.61 | 273.68,197.46 |\n| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |\n| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 |",0]
["| Systems | PSNR |  |  |\n| --- | --- | --- | --- |\n| Indoor | Outdoor | All |  |\n| AOD-Net | 21.01 | 24.08 | 22.55 |","| L2 | 20.73 | 25.58 | 23.15 |\n| --- | --- | --- | --- |\n| L1 | 20.27 | 25.83 | 23.05 |\n| SSIM | 19.64 | 26.65 | 23.15 |\n| MS-SSIM | 19.54 | 26.87 | 23.20 |\n| MS-SSIM+L1 | 20.16 | 26.20 | 23.18 |\n| MS-SSIM+L2 | 20.45 | 26.38 | 23.41 |",1]
["| Systems | PSNR |  |  |\n| --- | --- | --- | --- |\n| Indoor | Outdoor | All |  |\n| AOD-Net | 21.01 | 24.08 | 22.55 |","|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.7330 | 4.6000 | 24.92 | 0.7429 |\n| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |\n| SRResNet | 24.31 | 0.7328 | 3.3500 | 24.77 | 0.7458 | 3.0833 | 25.04 | 0.7543 |\n| SRGAN | 24.03 | 0.7198 | 3.8333 | 24.37 | 0.7297 | 3.9444 | 24.71 | 0.7413 |\n| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |\n| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 |",0]
["| Systems | PSNR |  |  |\n| --- | --- | --- | --- |\n| Indoor | Outdoor | All |  |\n| AOD-Net | 21.01 | 24.08 | 22.55 |\n| L2 | 20.73 | 25.58 | 23.15 |\n| L1 | 20.27 | 25.83 | 23.05 |\n| SSIM | 19.64 | 26.65 | 23.15 |\n| MS-SSIM | 19.54 | 26.87 | 23.20 |","| MS-SSIM+L1 | 20.16 | 26.20 | 23.18 |\n| --- | --- | --- | --- |\n| MS-SSIM+L2 | 20.45 | 26.38 | 23.41 |",1]
["| Systems | PSNR |  |  |\n| --- | --- | --- | --- |\n| Indoor | Outdoor | All |  |\n| AOD-Net | 21.01 | 24.08 | 22.55 |\n| L2 | 20.73 | 25.58 | 23.15 |\n| L1 | 20.27 | 25.83 | 23.05 |\n| SSIM | 19.64 | 26.65 | 23.15 |\n| MS-SSIM | 19.54 | 26.87 | 23.20 |","| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 |",0]
["| Select | Join |  |  |\n| --- | --- | --- | --- |\n| m | b | VC-dimSamplesize | VC-dimSamplesize |","| 1 | 1<br>2<br>3<br>5<br>8 | 21000<br>41400<br>62800<br>102600<br>163800 | 41400<br>163800<br>367800<br>10020600<br>25651800 |\n| --- | --- | --- | --- |\n| 2 | 2<br>3<br>5<br>8 | 316800<br>5712000<br>11724000<br>22044600 |  |\n| 5 | 5 | 29459400 |  |",1]
["| Select | Join |  |  |\n| --- | --- | --- | --- |\n| m | b | VC-dimSamplesize | VC-dimSamplesize |","| Tab.??name | DIMACSname | \\|V\\| | d | avgdeg./std.dev. |\n| --- | --- | --- | --- | --- |\n| g1 | david.col | 87 | 0.11 | 9.33/10.49 |\n| g2 | huck.col | 74 | 0.11 | 8.14/7.34 |\n| g3 | jean.col | 80 | 0.08 | 6.35/6.02 |\n| g4 | queen812.col | 96 | 0.30 | 28.5/2.29 |\n| g5 | queen88.col | 64 | 0.36 | 22.75/1.85 |\n| g6 | queen99.col | 81 | 0.33 | 26.07/2.09 |",0]
["| Select | Join |  |  |\n| --- | --- | --- | --- |\n| m | b | VC-dimSamplesize | VC-dimSamplesize |","| 1 | 1<br>2<br>3<br>5<br>8 | 21000<br>41400<br>62800<br>102600<br>163800 | 41400<br>163800<br>367800<br>10020600<br>25651800 |\n| --- | --- | --- | --- |\n| 2 | 2<br>3<br>5<br>8 | 316800<br>5712000<br>11724000<br>22044600 |  |\n| 5 | 5 | 29459400 |  |",1]
["| Select | Join |  |  |\n| --- | --- | --- | --- |\n| m | b | VC-dimSamplesize | VC-dimSamplesize |","| g2 | huck.col | 74 | 0.11 | 8.14/7.34 |\n| --- | --- | --- | --- | --- |\n| g3 | jean.col | 80 | 0.08 | 6.35/6.02 |\n| g4 | queen812.col | 96 | 0.30 | 28.5/2.29 |\n| g5 | queen88.col | 64 | 0.36 | 22.75/1.85 |\n| g6 | queen99.col | 81 | 0.33 | 26.07/2.09 |",0]
["| depth | cell.ref | i | parserstr |\n| --- | --- | --- | --- |\n| 0 | E1 | 0 |  |\n| 1 | B1 | 0 |  |\n| 2 | A1 | 0 | A1=2; |\n| 1 | B1 | 0 | A1=2;B1=1+A1; |\n| 0 | E1 | 1 | A1=2;B1=1+A1; |\n| 1 | C1 | 0 | A1=2;B1=1+A1; |\n| 2 | A1 | 0 | A1=2;B1=1+A1;A1=2; |","| 1 | C1 | 1 | A1=2;B1=1+A1;A1=2; |\n| --- | --- | --- | --- |\n| 2 | D1 | 0 | A1=2;B1=1+A1;A1=2;D1=10; |\n| 1 | C1 | 1 | A1=2;B1=1+A1;A1=2;D1=10;C1=A1+D1; |\n| 0 | E1 | 1 | A1=2;B1=1+A1;A1=2;D1=10;C1=A1+D1;<br>E1=B1+C1; |",1]
["| depth | cell.ref | i | parserstr |\n| --- | --- | --- | --- |\n| 0 | E1 | 0 |  |\n| 1 | B1 | 0 |  |\n| 2 | A1 | 0 | A1=2; |\n| 1 | B1 | 0 | A1=2;B1=1+A1; |\n| 0 | E1 | 1 | A1=2;B1=1+A1; |\n| 1 | C1 | 0 | A1=2;B1=1+A1; |\n| 2 | A1 | 0 | A1=2;B1=1+A1;A1=2; |","| Parameters | g | f |\n| --- | --- | --- |\n| [40,9,21] | 222<br>aa00a1aa10a1 | 2<br>a0000aa01 |\n| [40,10,20] | aaa01a0aa11 | aaa00a1aa1 |\n| [40,11,19] | a10aaaa1a1 | a11aa100a01 |\n| [40,12,18] | 101a00aa1 | 1a100aaaaaa1 |\n| [40,14,16] | 10a1a01 | 11aaaa011 |\n| [40,16,15] | 10001 | aa0a01011a1a0a |\n| [40,17,14] | a1a1 | aa1a10a0a0aaa0a11 |\n| [44,12,20] | 11111aa11a1 | a000aaaa0aa1 |\n| [48,11,24] | 1aa1a0aa100101 | aaaaa1a10a1 |\n| [48,12,23] | a110a1aa11aa1 | 1a0110010a11 |\n| [48,13,22] | aaa00a100111 | 0001a0aaaaaa1 |\n| [48,14,21] | 11aaa10a101 | 1a11010a1aaa11 |\n| [48,15,20] | aa01a1a111 | 1aaaaaaa0aa1a11 |\n| [48,16,19] | a00101aa1 | aa0a1a1aa1aaaaa1 |\n| [52,13,24] | aaaa10a1a11aa1 | aa11aa1aaaa11 |\n| [60,11,32] | aaaaaa11aa110000aa11 | aaaa0aaa1a1 |\n| [60,14,28] | 11aa11aaaaaaaaaa1 | a0aa0a110a1011 |",0]
["| depth | cell.ref | i | parserstr |\n| --- | --- | --- | --- |\n| 0 | E1 | 0 |  |\n| 1 | B1 | 0 |  |\n| 2 | A1 | 0 | A1=2; |\n| 1 | B1 | 0 | A1=2;B1=1+A1; |\n| 0 | E1 | 1 | A1=2;B1=1+A1; |\n| 1 | C1 | 0 | A1=2;B1=1+A1; |\n| 2 | A1 | 0 | A1=2;B1=1+A1;A1=2; |\n| 1 | C1 | 1 | A1=2;B1=1+A1;A1=2; |","| 2 | D1 | 0 | A1=2;B1=1+A1;A1=2;D1=10; |\n| --- | --- | --- | --- |\n| 1 | C1 | 1 | A1=2;B1=1+A1;A1=2;D1=10;C1=A1+D1; |\n| 0 | E1 | 1 | A1=2;B1=1+A1;A1=2;D1=10;C1=A1+D1;<br>E1=B1+C1; |",1]
["| depth | cell.ref | i | parserstr |\n| --- | --- | --- | --- |\n| 0 | E1 | 0 |  |\n| 1 | B1 | 0 |  |\n| 2 | A1 | 0 | A1=2; |\n| 1 | B1 | 0 | A1=2;B1=1+A1; |\n| 0 | E1 | 1 | A1=2;B1=1+A1; |\n| 1 | C1 | 0 | A1=2;B1=1+A1; |\n| 2 | A1 | 0 | A1=2;B1=1+A1;A1=2; |\n| 1 | C1 | 1 | A1=2;B1=1+A1;A1=2; |","| [48,16,19] | a00101aa1 | aa0a1a1aa1aaaaa1 |\n| --- | --- | --- |\n| [52,13,24] | aaaa10a1a11aa1 | aa11aa1aaaa11 |\n| [60,11,32] | aaaaaa11aa110000aa11 | aaaa0aaa1a1 |\n| [60,14,28] | 11aa11aaaaaaaaaa1 | a0aa0a110a1011 |",0]
["| PoolingType | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| Average | 0.73 | 0.75 | 0.78 |\n| Max | 0.69 | 0.72 | 0.73 |","| Center | 0.74 | 0.76 | 0.8 |\n| --- | --- | --- | --- |\n| Avg+Max+Cen | 0.75 | 0.77 | 0.81 |",1]
["| PoolingType | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| Average | 0.73 | 0.75 | 0.78 |\n| Max | 0.69 | 0.72 | 0.73 |","| Method | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| SE | 0.643 | 0.680 | 0.608 |\n| HED | 0.677 | 0.715 | 0.618 |\n| CEDN | 0.686 | 0.718 | 0.687 |\n| FCSN | 0.698 | 0.729 | 0.705 |",0]
["| PoolingType | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| Average | 0.73 | 0.75 | 0.78 |","| Max | 0.69 | 0.72 | 0.73 |\n| --- | --- | --- | --- |\n| Center | 0.74 | 0.76 | 0.8 |\n| Avg+Max+Cen | 0.75 | 0.77 | 0.81 |",1]
["| PoolingType | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| Average | 0.73 | 0.75 | 0.78 |","| CEDN | 0.686 | 0.718 | 0.687 |\n| --- | --- | --- | --- |\n| FCSN | 0.698 | 0.729 | 0.705 |",0]
["| tid | itemset |\n| --- | --- |\n| 001 | a,b,b,a |\n| 002 | a,a,b,b |","| 003 | a,b,a,a |\n| --- | --- |\n| 004 | b,b,a,a |\n| 005 | b,b,b,a |",1]
["| tid | itemset |\n| --- | --- |\n| 001 | a,b,b,a |\n| 002 | a,a,b,b |","| K | D |\n| --- | --- |\n| 20000 | 20000 |\n| 64 | 8192 |\n| 64 | 4096 |\n| 1000 | 2000 |",0]
["| tid | itemset |\n| --- | --- |\n| 001 | a,b,b,a |\n| 002 | a,a,b,b |\n| 003 | a,b,a,a |","| 004 | b,b,a,a |\n| --- | --- |\n| 005 | b,b,b,a |",1]
["| tid | itemset |\n| --- | --- |\n| 001 | a,b,b,a |\n| 002 | a,a,b,b |\n| 003 | a,b,a,a |","| 64 | 8192 |\n| --- | --- |\n| 64 | 4096 |\n| 1000 | 2000 |",0]
["| FilterType | PSNRsof | PSNRsof | OurPSNRs |\n| --- | --- | --- | --- |\n| WLS | 36.2 | 39.4 | 39.6 |\n| L0 | 32.8 | 30.9 | 32.6 |\n| RTV | 32.1 | 37.1 | 38.0 |","| WMF | 31.6 | 34.0 | 39.3 |\n| --- | --- | --- | --- |\n| RGF | 35.9 | 42.2 | 42.6 |",1]
["| FilterType | PSNRsof | PSNRsof | OurPSNRs |\n| --- | --- | --- | --- |\n| WLS | 36.2 | 39.4 | 39.6 |\n| L0 | 32.8 | 30.9 | 32.6 |\n| RTV | 32.1 | 37.1 | 38.0 |","| PSNR |\n| --- |\n| 28.59 |\n| 30.14 |\n| 29.25 |\n| 30.88 |\n| 30.60 |\n| 31.57 |",0]
["| FilterType | PSNRsof | PSNRsof | OurPSNRs |\n| --- | --- | --- | --- |\n| WLS | 36.2 | 39.4 | 39.6 |\n| L0 | 32.8 | 30.9 | 32.6 |\n| RTV | 32.1 | 37.1 | 38.0 |","| WMF | 31.6 | 34.0 | 39.3 |\n| --- | --- | --- | --- |\n| RGF | 35.9 | 42.2 | 42.6 |",1]
["| FilterType | PSNRsof | PSNRsof | OurPSNRs |\n| --- | --- | --- | --- |\n| WLS | 36.2 | 39.4 | 39.6 |\n| L0 | 32.8 | 30.9 | 32.6 |\n| RTV | 32.1 | 37.1 | 38.0 |","| 29.25 |\n| --- |\n| 30.88 |\n| 30.60 |\n| 31.57 |",0]
["|  | M∗K∗N | (N,S)pi | Time(ms) | GFLOPS |\n| --- | --- | --- | --- | --- |\n| Conv-1 | 96*363*3025 | (2,128) | 3.53 | 59.7 |\n| Conv-2 | 128*1200*729 | (2,128) | 2.55 | 87.8 |\n| Conv-3 | 384*2304*169 | (2,96) | 4.61 | 64.9 |\n| Conv-4 | 192*1728*169 | (2,96) | 1.75 | 64.1 |","| Conv-5 | 128*1728*169 | (2,128) | 1.19 | 62.9 |\n| --- | --- | --- | --- | --- |\n| fc-6 | 128*9216*4096 | (2,128) | 95.70 | 100.9 |\n| fc-7 | 128*4096*4096 | (2,128) | 43.26 | 99.3 |\n| fc-8 | 128*4096*1000 | (2,128) | 10.82 | 96.9 |",1]
["|  | M∗K∗N | (N,S)pi | Time(ms) | GFLOPS |\n| --- | --- | --- | --- | --- |\n| Conv-1 | 96*363*3025 | (2,128) | 3.53 | 59.7 |\n| Conv-2 | 128*1200*729 | (2,128) | 2.55 | 87.8 |\n| Conv-3 | 384*2304*169 | (2,96) | 4.61 | 64.9 |\n| Conv-4 | 192*1728*169 | (2,96) | 1.75 | 64.1 |","| Method | 750 | 3000 | 12000 | 50000 | 200000 |\n| --- | --- | --- | --- | --- | --- |\n| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |\n| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |\n| (d,d)2∞ |  |  |  |  |  |\n| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |\n| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| timing(sec) |  |  |  |  |  |",0]
["|  | M∗K∗N | (N,S)pi | Time(ms) | GFLOPS |\n| --- | --- | --- | --- | --- |\n| Conv-1 | 96*363*3025 | (2,128) | 3.53 | 59.7 |\n| Conv-2 | 128*1200*729 | (2,128) | 2.55 | 87.8 |\n| Conv-3 | 384*2304*169 | (2,96) | 4.61 | 64.9 |\n| Conv-4 | 192*1728*169 | (2,96) | 1.75 | 64.1 |","| Conv-5 | 128*1728*169 | (2,128) | 1.19 | 62.9 |\n| --- | --- | --- | --- | --- |\n| fc-6 | 128*9216*4096 | (2,128) | 95.70 | 100.9 |\n| fc-7 | 128*4096*4096 | (2,128) | 43.26 | 99.3 |\n| fc-8 | 128*4096*1000 | (2,128) | 10.82 | 96.9 |",1]
["|  | M∗K∗N | (N,S)pi | Time(ms) | GFLOPS |\n| --- | --- | --- | --- | --- |\n| Conv-1 | 96*363*3025 | (2,128) | 3.53 | 59.7 |\n| Conv-2 | 128*1200*729 | (2,128) | 2.55 | 87.8 |\n| Conv-3 | 384*2304*169 | (2,96) | 4.61 | 64.9 |\n| Conv-4 | 192*1728*169 | (2,96) | 1.75 | 64.1 |","| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |\n| --- | --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |  |\n| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |\n| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| timing(sec) |  |  |  |  |  |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |\n| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |\n| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |","|  | nData=10 |  |  |\n| --- | --- | --- | --- |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |\n| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |\n| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |","| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |\n| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |\n| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |\n|  | nData=10 |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |\n| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |\n| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |\n| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |","|  | nData=10 |  |  |\n| --- | --- | --- | --- |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |\n| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |\n| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |","| He-Geng | 0.70±0.11 | 1.00±0.00 | 0.8194±0.07 |\n| --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.8262±0.08 | 0.9030±0.05 |\n| MIMB | 0.92±0.10 | 0.9514±0.10 | 0.9300±0.08 |\n|  | nData=10 |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.8800±0.03 |\n| Baseline | 1.00±0.00 | 0.7976±0.06 | 0.8864±0.04 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.9194±0.08 |",0]
["| Function | N |\n| --- | --- |\n| Summarization | 20 |\n| Reference | 101 |","| FolderAction | 10 |\n| --- | --- |\n| ReadMessage | 67 |\n| MessageField | 5 |\n| Repeat | 4 |\n| ClariﬁcationbyUser | 24 |\n| ClariﬁcationbyAgent | 13 |\n| Searchforamessage | 8 |\n| Help | 3 |",1]
["| Function | N |\n| --- | --- |\n| Summarization | 20 |\n| Reference | 101 |","| Rank | Code | Name | Example | Count | KW | MW |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |\n| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |\n| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 |\n| 4 | FV | WrongVerbForm | hadtimetoplayedplay | 1789 | ** | 21 |\n| 5 | W | WordOrder | Probablyourhomeswillprobablybe | 1534 | ** | 34 |\n| 6 | MT | MissingPreposition | explaintoyou | 1435 | ** | 22 |\n| 7 | UD | UnnecessaryDeterminer | acourseattheCornellUniversity | 1321 |  |  |\n| 8 | UT | UnnecessaryPreposition | weneeditoneachminute | 1079 |  |  |\n| 9 | MA | MissingPronoun | becauseitisthebestconference | 984 | ** | 33 |\n| 10 | AGV | VerbAgreement | theteacherswaswereveryexperienced | 916 | ** | 21 |\n| 11 | FN | WrongFormNoun | becauseofmystudystudies | 884 | ** | 24 |\n| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |\n| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |\n| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |\n| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |\n| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 |  |  |\n| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |\n| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |\n| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |\n| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 |  |  |",0]
["| Function | N |\n| --- | --- |\n| Summarization | 20 |\n| Reference | 101 |\n| FolderAction | 10 |\n| ReadMessage | 67 |\n| MessageField | 5 |","| Repeat | 4 |\n| --- | --- |\n| ClariﬁcationbyUser | 24 |\n| ClariﬁcationbyAgent | 13 |\n| Searchforamessage | 8 |\n| Help | 3 |",1]
["| Function | N |\n| --- | --- |\n| Summarization | 20 |\n| Reference | 101 |\n| FolderAction | 10 |\n| ReadMessage | 67 |\n| MessageField | 5 |","| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |\n| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |\n| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |\n| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 |  |  |\n| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |\n| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |\n| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |\n| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 |  |  |",0]
["| Variable | HadoopParameter | DefaultValue | Eﬀect |\n| --- | --- | --- | --- |\n| pNumNodes<br>pTaskMem<br>pMaxMapsPerNode<br>pMaxRedPerNode | NumberofNodes<br>mapred.child.java.opts<br>mapred.tasktracker.map.tasks.max<br>mapred.tasktracker.reduce.tasks.max | -Xmx200m<br>2<br>2 | System<br>System<br>System<br>System |","| pNumMappers<br>pSortMB<br>pSpillPerc<br>pSortRecPerc<br>pSortFactor<br>pNumSpillsForComb | mapred.map.tasks<br>io.sort.mb<br>io.sort.spill.percent<br>io.sort.record.percent<br>io.sort.factor<br>min.num.spills.for.combine | 100MB<br>0.8<br>0.05<br>10<br>3 | Job<br>Job<br>Job<br>Job<br>Job<br>Job |\n| --- | --- | --- | --- |\n| pNumReducers<br>pInMemMergeThr<br>pShuﬄeInBufPerc<br>pShuﬄeMergePerc<br>pReducerInBufPerc | mapred.reduce.tasks<br>mapred.inmem.merge.threshold<br>mapred.job.shuﬄe.input.buﬀer.percent<br>mapred.job.shuﬄe.merge.percent<br>mapred.job.reduce.input.buﬀer.percent | 1000<br>0.7<br>0.66<br>0 | Job<br>Job<br>Job<br>Job<br>Job |\n| pUseCombine<br>pIsIntermCompressed<br>pIsOutCompressed | mapred.combine.classormapreduce.combine.class<br>mapred.compress.map.output<br>mapred.output.compress | null<br>false<br>false | Job<br>Job<br>Job |\n| pReduceSlowstart | mapred.reduce.slowstart.completed.maps | 0.05 | Job |\n| pIsInCompressed<br>pSplitSize | Whethertheinputiscompressedornot<br>Thesizeoftheinputsplit |  | Input<br>Input |",1]
["| Variable | HadoopParameter | DefaultValue | Eﬀect |\n| --- | --- | --- | --- |\n| pNumNodes<br>pTaskMem<br>pMaxMapsPerNode<br>pMaxRedPerNode | NumberofNodes<br>mapred.child.java.opts<br>mapred.tasktracker.map.tasks.max<br>mapred.tasktracker.reduce.tasks.max | -Xmx200m<br>2<br>2 | System<br>System<br>System<br>System |","| parameters | value |\n| --- | --- |\n| dfs.replication | 1or3 |\n| dfs.block.size | 64MB |\n| mapred.child.java.opts | -Xmx512m |\n| mapred.job.reuse.jvm.num.tasks | -1 |\n| io.sort.mb | 125 |\n| io.sort.record.percent | 0.2 |\n| io.sort.spill.percent | 0.8 |\n| io.bytes.per.checksum | 4096 |\n| mapred.tasktracker.reduce.<br>tasks.maximum | 2or3 |\n| mapred.tasktracker.map.tasks.maximum | 3 |",0]
["| Variable | HadoopParameter | DefaultValue | Eﬀect |\n| --- | --- | --- | --- |\n| pNumNodes<br>pTaskMem<br>pMaxMapsPerNode<br>pMaxRedPerNode | NumberofNodes<br>mapred.child.java.opts<br>mapred.tasktracker.map.tasks.max<br>mapred.tasktracker.reduce.tasks.max | -Xmx200m<br>2<br>2 | System<br>System<br>System<br>System |\n| pNumMappers<br>pSortMB<br>pSpillPerc<br>pSortRecPerc<br>pSortFactor<br>pNumSpillsForComb | mapred.map.tasks<br>io.sort.mb<br>io.sort.spill.percent<br>io.sort.record.percent<br>io.sort.factor<br>min.num.spills.for.combine | 100MB<br>0.8<br>0.05<br>10<br>3 | Job<br>Job<br>Job<br>Job<br>Job<br>Job |","| pNumReducers<br>pInMemMergeThr<br>pShuﬄeInBufPerc<br>pShuﬄeMergePerc<br>pReducerInBufPerc | mapred.reduce.tasks<br>mapred.inmem.merge.threshold<br>mapred.job.shuﬄe.input.buﬀer.percent<br>mapred.job.shuﬄe.merge.percent<br>mapred.job.reduce.input.buﬀer.percent | 1000<br>0.7<br>0.66<br>0 | Job<br>Job<br>Job<br>Job<br>Job |\n| --- | --- | --- | --- |\n| pUseCombine<br>pIsIntermCompressed<br>pIsOutCompressed | mapred.combine.classormapreduce.combine.class<br>mapred.compress.map.output<br>mapred.output.compress | null<br>false<br>false | Job<br>Job<br>Job |\n| pReduceSlowstart | mapred.reduce.slowstart.completed.maps | 0.05 | Job |\n| pIsInCompressed<br>pSplitSize | Whethertheinputiscompressedornot<br>Thesizeoftheinputsplit |  | Input<br>Input |",1]
["| Variable | HadoopParameter | DefaultValue | Eﬀect |\n| --- | --- | --- | --- |\n| pNumNodes<br>pTaskMem<br>pMaxMapsPerNode<br>pMaxRedPerNode | NumberofNodes<br>mapred.child.java.opts<br>mapred.tasktracker.map.tasks.max<br>mapred.tasktracker.reduce.tasks.max | -Xmx200m<br>2<br>2 | System<br>System<br>System<br>System |\n| pNumMappers<br>pSortMB<br>pSpillPerc<br>pSortRecPerc<br>pSortFactor<br>pNumSpillsForComb | mapred.map.tasks<br>io.sort.mb<br>io.sort.spill.percent<br>io.sort.record.percent<br>io.sort.factor<br>min.num.spills.for.combine | 100MB<br>0.8<br>0.05<br>10<br>3 | Job<br>Job<br>Job<br>Job<br>Job<br>Job |","| io.sort.spill.percent | 0.8 |\n| --- | --- |\n| io.bytes.per.checksum | 4096 |\n| mapred.tasktracker.reduce.<br>tasks.maximum | 2or3 |\n| mapred.tasktracker.map.tasks.maximum | 3 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1HqoNfpAJFMy9E36DBSk1ktPQ9o9fn2RxX |  |\n| 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB |  |","| 3 | 1GaVKrVT17DN4dnWbTqGB9qG3rQrk1JBe9 |  |\n| --- | --- | --- |\n| 4 | 1MZsTFUNMGxQxz38wWm8CtBoycW7VD5z7v |  |\n| 5 | 1DGqEKZJdCd4YftWPuK5Z1HFBdeyz9RNDU |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1HqoNfpAJFMy9E36DBSk1ktPQ9o9fn2RxX |  |\n| 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB |  |","| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1NRn15kJnVRrptTSQJJnMD9KJcWkVFh1Gv |  |\n| 2 | 15Y2TmHrxjmRFxfNUttwb9aU4DifvDpWKM |  |\n| 3 | 1JthvnK8aoieXpx8YCAEtQwhfZSjSkdNox |  |\n| 4 | 1L2jriaKw39jZysdH7nhe6eMSLSPNHvvHx |  |\n| 5 | 1GQf1kEFK3SmVw8AMjRcn7jX1mvrGSDTkK |  |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1HqoNfpAJFMy9E36DBSk1ktPQ9o9fn2RxX |  |\n| 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB |  |","| 3 | 1GaVKrVT17DN4dnWbTqGB9qG3rQrk1JBe9 |  |\n| --- | --- | --- |\n| 4 | 1MZsTFUNMGxQxz38wWm8CtBoycW7VD5z7v |  |\n| 5 | 1DGqEKZJdCd4YftWPuK5Z1HFBdeyz9RNDU |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1HqoNfpAJFMy9E36DBSk1ktPQ9o9fn2RxX |  |\n| 2 | 15QzHEbNZWp2w1i2mfZSx7pV5YNM4ahszB |  |","| 4 | 1L2jriaKw39jZysdH7nhe6eMSLSPNHvvHx |  |\n| --- | --- | --- |\n| 5 | 1GQf1kEFK3SmVw8AMjRcn7jX1mvrGSDTkK |  |",0]
["|  | EC | TC | WT |\n| --- | --- | --- | --- |\n| Unetaxialslices | 71.4 | 76.6 | 87.7 |\n| 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 |\n| 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |\n| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 |\n| *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 |\n| *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 |\n| *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |","| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 |\n| --- | --- | --- | --- |\n| *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 |\n| *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 |\n| Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 |",1]
["|  | EC | TC | WT |\n| --- | --- | --- | --- |\n| Unetaxialslices | 71.4 | 76.6 | 87.7 |\n| 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 |\n| 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |\n| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 |\n| *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 |\n| *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 |\n| *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |","| Exp | DB | NetA | Ach | NetB | α | β | LR | Momentum |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | db1 | 1 | 1 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 2 | db1 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 3 | db1 | 1 | 3 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 4 | db1 | 1 | 4 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 5 | db1 | 1 | 5 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 6 | db1 | 1 | 6 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 7 | db1 | 1 | 7 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 8 | db1 | 1 | 8 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 9 | db1 | 2 | 1 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 10 | db1 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 11 | db1 | 2 | 3 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 12 | db1 | 2 | 4 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 13 | db1 | 2 | 5 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 14 | db1 | 2 | 6 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 15 | db1 | 2 | 7 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 16 | db1 | 2 | 8 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 17 | db1 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 18 | db1a | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 19 | db1a | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 20 | db1a | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 21 | db2 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 22 | db2 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 23 | db3 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 24 | db3 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 25 | db4 | NA | NA | B2 | NA | NA | 0.005 | 0.9 |\n| 26 | db4 | NA | NA | B1 | NA | NA | 0.005 | 0.9 |\n| 27 | db4 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 28 | db4 | 1 | 2 | B1 | 0.7 | 0.3 | 0.01 | 0.9 |\n| 29 | db4 | 2 | 2 | B1 | 0.7 | 0.3 | 0.005 | 0.9 |\n| 30 | db4 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |",0]
["|  | EC | TC | WT |\n| --- | --- | --- | --- |\n| Unetaxialslices | 71.4 | 76.6 | 87.7 |\n| 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 |\n| 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |","| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 |\n| --- | --- | --- | --- |\n| *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 |\n| *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 |\n| *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |\n| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 |\n| *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 |\n| *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 |\n| Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 |",1]
["|  | EC | TC | WT |\n| --- | --- | --- | --- |\n| Unetaxialslices | 71.4 | 76.6 | 87.7 |\n| 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 |\n| 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |","| 28 | db4 | 1 | 2 | B1 | 0.7 | 0.3 | 0.01 | 0.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29 | db4 | 2 | 2 | B1 | 0.7 | 0.3 | 0.005 | 0.9 |\n| 30 | db4 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |",0]
["| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All |\n| --- | --- | --- | --- | --- | --- | --- |\n| TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 |\n| 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 |  |\n| 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 |\n| 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 |  |\n| Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 |\n| 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 |  |\n| NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 |\n| 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 |  |\n| NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 |\n| 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 |  |\n| NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 |\n| 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 |  |\n| Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 |\n| 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 |  |\n| WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 |\n| 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 |  |\n| WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 |\n| 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 |  |","| WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 |  |\n| WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 |\n| 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 |  |\n| Average<br>(macro-avg) | 2152 | 21294 | 4477 | 6655 | 2301 | 28509 |\n| 81.70 | 62.30 | 80.85 | 82.27 | 78.45 | 81.27 |  |",1]
["| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All |\n| --- | --- | --- | --- | --- | --- | --- |\n| TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 |\n| 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 |  |\n| 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 |\n| 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 |  |\n| Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 |\n| 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 |  |\n| NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 |\n| 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 |  |\n| NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 |\n| 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 |  |\n| NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 |\n| 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 |  |\n| Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 |\n| 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 |  |\n| WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 |\n| 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 |  |\n| WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 |\n| 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 |  |","| Task-Dataset | VarianceofK |\n| --- | --- |\n| NER-DNA(10-foldCV) | 0.0000223 |\n| NER-cellType(10-foldCV) | 0.0000211 |\n| NER-protein(10-foldCV) | 0.0000074 |\n| Reuters(10Categories) | 0.0000298 |\n| 20Newsgroups(20Categories) | 0.0000739 |\n| WebKBStudent(10-foldCV) | 0.0000137 |\n| WebKBProject(10-foldCV) | 0.0000190 |\n| WebKBFaculty(10-foldCV) | 0.0000115 |\n| WebKBCourse(10-foldCV) | 0.0000179 |\n| TC-spamassassin(10-foldCV) | 0.0000042 |\n| TC-TREC-SPAM(10-foldCV) | 0.0000043 |\n| Average(macro-avg) | 0.0000209 |",0]
["| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All |\n| --- | --- | --- | --- | --- | --- | --- |\n| TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 |\n| 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 |  |\n| 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 |\n| 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 |  |\n| Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 |\n| 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 |  |\n| NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 |\n| 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 |  |\n| NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 |\n| 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 |  |\n| NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 |\n| 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 |  |\n| Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 |\n| 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 |  |\n| WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 |\n| 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 |  |\n| WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 |\n| 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 |  |\n| WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 |\n| 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 |  |","| WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 |  |\n| Average<br>(macro-avg) | 2152 | 21294 | 4477 | 6655 | 2301 | 28509 |\n| 81.70 | 62.30 | 80.85 | 82.27 | 78.45 | 81.27 |  |",1]
["| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All |\n| --- | --- | --- | --- | --- | --- | --- |\n| TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 |\n| 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 |  |\n| 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 |\n| 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 |  |\n| Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 |\n| 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 |  |\n| NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 |\n| 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 |  |\n| NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 |\n| 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 |  |\n| NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 |\n| 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 |  |\n| Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 |\n| 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 |  |\n| WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 |\n| 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 |  |\n| WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 |\n| 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 |  |\n| WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 |\n| 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 |  |","| NER-cellType(10-foldCV) | 0.0000211 |\n| --- | --- |\n| NER-protein(10-foldCV) | 0.0000074 |\n| Reuters(10Categories) | 0.0000298 |\n| 20Newsgroups(20Categories) | 0.0000739 |\n| WebKBStudent(10-foldCV) | 0.0000137 |\n| WebKBProject(10-foldCV) | 0.0000190 |\n| WebKBFaculty(10-foldCV) | 0.0000115 |\n| WebKBCourse(10-foldCV) | 0.0000179 |\n| TC-spamassassin(10-foldCV) | 0.0000042 |\n| TC-TREC-SPAM(10-foldCV) | 0.0000043 |\n| Average(macro-avg) | 0.0000209 |",0]
["| Dataset | IntrinsicDimension |\n| --- | --- |\n| MNIST | 16 |","| CIFAR-10 | 17 |\n| --- | --- |\n| SAT-6 | 115 |\n| HaralickFeaturesextractedfromSAT-6 | 4.2 |",1]
["| Dataset | IntrinsicDimension |\n| --- | --- |\n| MNIST | 16 |","| Dataset | Input | Relevance | Readability |\n| --- | --- | --- | --- |\n| MSCOCO | GroundTruth | 3.38 | 4.68 |\n|  | SystemOutput | 3.0 | 3.84 |\n| Quora | GroundTruth | 4.82 | 4.94 |\n|  | SystemOutput | 3.57 | 4.08 |",0]
["| Dataset | IntrinsicDimension |\n| --- | --- |\n| MNIST | 16 |","| CIFAR-10 | 17 |\n| --- | --- |\n| SAT-6 | 115 |\n| HaralickFeaturesextractedfromSAT-6 | 4.2 |",1]
["| Dataset | IntrinsicDimension |\n| --- | --- |\n| MNIST | 16 |","| Quora | GroundTruth | 4.82 | 4.94 |\n| --- | --- | --- | --- |\n|  | SystemOutput | 3.57 | 4.08 |",0]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 |","| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.588E-04<br>1.012E-04<br>3.772E-05<br>1.391E-05 | 1.928E-04<br>1.180E-04<br>3.790E-05<br>2.454E-05 | 2.545E-04<br>1.834E-04<br>5.061E-05<br>3.296E-05 | 1.372E-02<br>1.040E-02<br>6.994E-03<br>5.620E-03 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1047<br>1807<br>4132<br>7185 | 1.479E-05<br>8.580E-06<br>4.042E-06<br>2.018E-06 | 1.444E-05<br>5.818E-06<br>2.019E-06<br>1.123E-06 | 3.101E-06<br>1.293E-06<br>1.433E-06<br>5.923E-07 | 1.303E-01<br>8.692E-02<br>6.142E-02<br>4.618E-02 |",1]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 |","| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",0]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |\n| --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |","| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 3.037E-05<br>1.711E-05<br>7.668E-06<br>5.416E-06 | 2.020E-05<br>1.365E-05<br>3.056E-06<br>1.777E-06 | 3.706E-05<br>1.928E-05<br>7.926E-06<br>4.364E-06 | 3.263E-03<br>2.159E-03<br>9.497E-04<br>6.018E-04 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.588E-04<br>1.012E-04<br>3.772E-05<br>1.391E-05 | 1.928E-04<br>1.180E-04<br>3.790E-05<br>2.454E-05 | 2.545E-04<br>1.834E-04<br>5.061E-05<br>3.296E-05 | 1.372E-02<br>1.040E-02<br>6.994E-03<br>5.620E-03 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 1.479E-05<br>8.580E-06<br>4.042E-06<br>2.018E-06 | 1.444E-05<br>5.818E-06<br>2.019E-06<br>1.123E-06 | 3.101E-06<br>1.293E-06<br>1.433E-06<br>5.923E-07 | 1.303E-01<br>8.692E-02<br>6.142E-02<br>4.618E-02 |",1]
["| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |\n| --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |","| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",0]
["| Seed | #Resources | #Users | #Tags | #Tripples |\n| --- | --- | --- | --- | --- |\n| Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 |\n| Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |","| Wunderground | 7,176 | 45,852 | 77,056 | 6,327,211 |\n| --- | --- | --- | --- | --- |\n| Whitepages | 6,455 | 12,357 | 64,591 | 2,843,427 |\n| Online-Resevationz | 764 | 41,003 | 9,194 | 162,763 |",1]
["| Seed | #Resources | #Users | #Tags | #Tripples |\n| --- | --- | --- | --- | --- |\n| Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 |\n| Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |","| Name | Type | \\|V\\| | \\|E\\| | Indexingtime(original) | Indexsize(original) |\n| --- | --- | --- | --- | --- | --- |\n| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |\n| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |\n| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |\n| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",0]
["| Seed | #Resources | #Users | #Tags | #Tripples |\n| --- | --- | --- | --- | --- |\n| Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 |\n| Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |","| Wunderground | 7,176 | 45,852 | 77,056 | 6,327,211 |\n| --- | --- | --- | --- | --- |\n| Whitepages | 6,455 | 12,357 | 64,591 | 2,843,427 |\n| Online-Resevationz | 764 | 41,003 | 9,194 | 162,763 |",1]
["| Seed | #Resources | #Users | #Tags | #Tripples |\n| --- | --- | --- | --- | --- |\n| Flytecomm | 3,562 | 34,594 | 14,297 | 2,284,308 |\n| Geocoder | 5,572 | 46,764 | 16,887 | 3,775,832 |","| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |\n| --- | --- | --- | --- | --- | --- |\n| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |\n| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",0]
["| SL | AminoAcid | Short | Index |\n| --- | --- | --- | --- |\n| 1 | Glycine | GLY | -0.4 |\n| 2 | Alanine | ALA | 1.8 |\n| 3 | Proline | PRO | 1.6 |\n| 4 | Valine | VAL | 4.2 |\n| 5 | Leucine | LEU | 3.8 |\n| 6 | Isoleucine | ILE | 4.5 |\n| 7 | Methionine | MET | 1.9 |\n| 8 | Phenylalanine | PHE | 2.8 |\n| 9 | Tyrosine | TYR | -1.3 |\n| 10 | Tryptophan | TRP | -0.9 |\n| 11 | Serine | SER | -0.8 |","| 12 | Threonine | THR | -0.7 |\n| --- | --- | --- | --- |\n| 13 | Cysteine | CYS | 2.5 |\n| 14 | Asparagine | ASN | -3.5 |\n| 15 | Glutamine | GLN | -3.5 |\n| 16 | Lysine | LYS | -3.9 |\n| 17 | Histidine | HIS | -3.2 |\n| 18 | Arginine | ARG | -4.5 |\n| 19 | Aspartate | ASP | -3.5 |\n| 20 | Glutamate | GLU | -3.5 |",1]
["| SL | AminoAcid | Short | Index |\n| --- | --- | --- | --- |\n| 1 | Glycine | GLY | -0.4 |\n| 2 | Alanine | ALA | 1.8 |\n| 3 | Proline | PRO | 1.6 |\n| 4 | Valine | VAL | 4.2 |\n| 5 | Leucine | LEU | 3.8 |\n| 6 | Isoleucine | ILE | 4.5 |\n| 7 | Methionine | MET | 1.9 |\n| 8 | Phenylalanine | PHE | 2.8 |\n| 9 | Tyrosine | TYR | -1.3 |\n| 10 | Tryptophan | TRP | -0.9 |\n| 11 | Serine | SER | -0.8 |","| word1 | word2 | similarities(cosine-dist) | remark |\n| --- | --- | --- | --- |\n| dilantin | tegretol | 0.75135758 | drug-drug |\n| phenytoin | dilantin | 0.62360351 | drug-drug |\n| phenytoin | tegretol | 0.51322415 | drug-drug |\n| cholestyramine | dilantin | 0.24557819 | drug-drug |\n| cholestyramine | phenytoin | 0.23701277 | drug-drug |\n| administration | patients | 0.20459694 | non-drug-non-drug |\n| tegretol | may | 0.11605539 | drug-non-drug |\n| cholestyramine | patients | 0.08827197 | drug-non-drug |\n| evaluated | end | 0.07379115 | non-drug-non-drug |\n| within | controlled | 0.06111103 | non-drug-non-drug |\n| cholestyramine | evaluated | 0.04024139 | drug-non-drug |\n| dilantin | end | 0.02234770 | drug-non-drug |",0]
["| SL | AminoAcid | Short | Index |\n| --- | --- | --- | --- |\n| 1 | Glycine | GLY | -0.4 |\n| 2 | Alanine | ALA | 1.8 |\n| 3 | Proline | PRO | 1.6 |\n| 4 | Valine | VAL | 4.2 |\n| 5 | Leucine | LEU | 3.8 |\n| 6 | Isoleucine | ILE | 4.5 |\n| 7 | Methionine | MET | 1.9 |\n| 8 | Phenylalanine | PHE | 2.8 |\n| 9 | Tyrosine | TYR | -1.3 |","| 10 | Tryptophan | TRP | -0.9 |\n| --- | --- | --- | --- |\n| 11 | Serine | SER | -0.8 |\n| 12 | Threonine | THR | -0.7 |\n| 13 | Cysteine | CYS | 2.5 |\n| 14 | Asparagine | ASN | -3.5 |\n| 15 | Glutamine | GLN | -3.5 |\n| 16 | Lysine | LYS | -3.9 |\n| 17 | Histidine | HIS | -3.2 |\n| 18 | Arginine | ARG | -4.5 |\n| 19 | Aspartate | ASP | -3.5 |\n| 20 | Glutamate | GLU | -3.5 |",1]
["| SL | AminoAcid | Short | Index |\n| --- | --- | --- | --- |\n| 1 | Glycine | GLY | -0.4 |\n| 2 | Alanine | ALA | 1.8 |\n| 3 | Proline | PRO | 1.6 |\n| 4 | Valine | VAL | 4.2 |\n| 5 | Leucine | LEU | 3.8 |\n| 6 | Isoleucine | ILE | 4.5 |\n| 7 | Methionine | MET | 1.9 |\n| 8 | Phenylalanine | PHE | 2.8 |\n| 9 | Tyrosine | TYR | -1.3 |","| phenytoin | dilantin | 0.62360351 | drug-drug |\n| --- | --- | --- | --- |\n| phenytoin | tegretol | 0.51322415 | drug-drug |\n| cholestyramine | dilantin | 0.24557819 | drug-drug |\n| cholestyramine | phenytoin | 0.23701277 | drug-drug |\n| administration | patients | 0.20459694 | non-drug-non-drug |\n| tegretol | may | 0.11605539 | drug-non-drug |\n| cholestyramine | patients | 0.08827197 | drug-non-drug |\n| evaluated | end | 0.07379115 | non-drug-non-drug |\n| within | controlled | 0.06111103 | non-drug-non-drug |\n| cholestyramine | evaluated | 0.04024139 | drug-non-drug |\n| dilantin | end | 0.02234770 | drug-non-drug |",0]
["| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH |\n| --- | --- | --- |\n| withoutoversampling,ω=ωi |  |  |\n| 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |\n| withoversampling,ω=ω+2i |  |  |\n| 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<br>0.010.01<br>0.0090.009 | 0.330.31<br>0.300.30<br>0.250.27<br>0.220.25 |\n| withoversampling,ω=ω+4i |  |  |","| 4<br>8<br>12<br>16 | 0.050.03<br>0.030.02<br>0.0070.01<br>0.0020.008 | 0.280.29<br>0.190.24<br>0.110.20<br>0.070.15 |\n| --- | --- | --- |\n| withoversampling,ω=ω+6i |  |  |\n| 4<br>8<br>12<br>16 | 0.050.03<br>0.040.02<br>0.010.01<br>0.0020.007 | 0.240.27<br>0.140.22<br>0.070.17<br>0.060.14 |",1]
["| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH |\n| --- | --- | --- |\n| withoutoversampling,ω=ωi |  |  |\n| 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |\n| withoversampling,ω=ω+2i |  |  |\n| 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<br>0.010.01<br>0.0090.009 | 0.330.31<br>0.300.30<br>0.250.27<br>0.220.25 |\n| withoversampling,ω=ω+4i |  |  |","|  | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(3.589e-4)<br>0.7115<br>(1.704e-3) |\n| K=4 | AC<br>NMI | 0.7140<br>(8.518e-4)<br>0.4654<br>(1.726e-3) | 0.6520<br>(8.611e-3)<br>0.4181<br>(3.279e-3) | 0.6780<br>(4.138e-4)<br>0.4446<br>(5.964e-4) | 0.7195<br>(5.325e-4)<br>0.4680<br>(1.181e-3) | 0.6575<br>(3.237e-3)<br>0.4071<br>(3.278e-3) |\n| K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) |\n| K=6 | AC<br>NMI | 0.5370<br>(4.249e-3)<br>0.4007<br>(9.891e-4) | 0.5337<br>(3.626e-3)<br>0.3852<br>(6.482e-4) | 0.5156<br>(3.812e-3)<br>0.3980<br>(1.197e-3) | 0.5466<br>(4.257e-3)<br>0.3962<br>(1.507e-3) | 0.4983<br>(1.061e-3)<br>0.3670<br>(1.348e-3) |\n| K=7 | AC<br>NMI | 0.5988<br>(8.816e-5)<br>0.5382<br>(7.593e-4) | 0.5974<br>(3.295e-3)<br>0.5378<br>(1.607e-3) | 0.5762<br>(1.051e-3)<br>0.4972<br>(7.238e-4) | 0.5940<br>(3.704e-3)<br>0.5342<br>(9.776e-4) | 0.6585<br>(1.789e-3)<br>0.5629<br>(9.366e-4) |\n| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) |\n| K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) |\n| K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |",0]
["| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH |\n| --- | --- | --- |\n| withoutoversampling,ω=ωi |  |  |\n| 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |","| withoversampling,ω=ω+2i |  |  |\n| --- | --- | --- |\n| 4<br>8<br>12<br>16 | 0.050.03<br>0.040.03<br>0.010.01<br>0.0090.009 | 0.330.31<br>0.300.30<br>0.250.27<br>0.220.25 |\n| withoversampling,ω=ω+4i |  |  |\n| 4<br>8<br>12<br>16 | 0.050.03<br>0.030.02<br>0.0070.01<br>0.0020.008 | 0.280.29<br>0.190.24<br>0.110.20<br>0.070.15 |\n| withoversampling,ω=ω+6i |  |  |\n| 4<br>8<br>12<br>16 | 0.050.03<br>0.040.02<br>0.010.01<br>0.0020.007 | 0.240.27<br>0.140.22<br>0.070.17<br>0.060.14 |",1]
["| N | pressureerrors<br>21<br>LH | displacementserrors<br>21<br>LH |\n| --- | --- | --- |\n| withoutoversampling,ω=ωi |  |  |\n| 4<br>8<br>12<br>16 | 0.050.04<br>0.050.03<br>0.020.02<br>0.0060.01 | 0.360.31<br>0.350.31<br>0.340.31<br>0.340.31 |","| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) |\n| K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |",0]
["| Year | IDs | Images | Videos | Subject |\n| --- | --- | --- | --- | --- |\n| 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative |\n| 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |","| 1996<br>2004<br>2013<br>2017<br>2017<br>2017<br>2017<br>2017<br>2017 | 1,199<br>466+<br>293<br>5<br>O(10)<br>5<br>O(10)<br><500<br><1,500<br>3<br>O(10)<br>3<br>O(10) | 14,126<br>50,000+<br>9,376<br>5<br>O(10)<br>6<br>O(10)<br><500<br><1,500<br>5<br>O(10)<br>4<br>O(10) | 0<br>0<br>2,802<br>0<br>0<br>0<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Uncooperative<br>Uncooperative |\n| --- | --- | --- | --- | --- |\n| 2011<br>2017<br>2018 | 130<br>1,732<br>15,573 | 4,160<br>14,016+<br>463,507 | 0<br>0<br>0 | Cooperative<br>Uncooperative<br>Uncooperative |",1]
["| Year | IDs | Images | Videos | Subject |\n| --- | --- | --- | --- | --- |\n| 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative |\n| 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Year | IDs | Images | Videos | Subject |\n| --- | --- | --- | --- | --- |\n| 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative |\n| 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |","| 1996<br>2004<br>2013<br>2017<br>2017<br>2017<br>2017<br>2017<br>2017 | 1,199<br>466+<br>293<br>5<br>O(10)<br>5<br>O(10)<br><500<br><1,500<br>3<br>O(10)<br>3<br>O(10) | 14,126<br>50,000+<br>9,376<br>5<br>O(10)<br>6<br>O(10)<br><500<br><1,500<br>5<br>O(10)<br>4<br>O(10) | 0<br>0<br>2,802<br>0<br>0<br>0<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Uncooperative<br>Uncooperative |\n| --- | --- | --- | --- | --- |\n| 2011<br>2017<br>2018 | 130<br>1,732<br>15,573 | 4,160<br>14,016+<br>463,507 | 0<br>0<br>0 | Cooperative<br>Uncooperative<br>Uncooperative |",1]
["| Year | IDs | Images | Videos | Subject |\n| --- | --- | --- | --- | --- |\n| 1997<br>1998<br>1999<br>2001<br>2002<br>2010 | 15<br>25<br>295<br>10<br>68<br>337 | 165<br>4,450<br>0<br>5,760<br>41,368<br>750,000 | 0<br>5<br>1,180<br>0<br>0<br>0 | Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative<br>Cooperative |\n| 2006<br>2007<br>2011<br>2012<br>2014<br>2014<br>2014<br>2015<br>2015<br>2016<br>2016<br>2016<br>2016<br>2017<br>2017<br>2017<br>2017 | 13,618<br>5,749<br>1,595<br>2,995<br>530<br>10,575<br>10,177<br>500<br>2,622<br>8,277<br>500<br>8,277<br>99,892<br>3,107<br>1,845<br>9,131<br>672,057 | 55,134<br>13,233<br>0<br>99,773<br>100,000<br>494,414<br>202,599<br>5,712<br>2.6M<br>367,888<br>7,000<br>367,888<br>8,456,240<br>0<br>11,754<br>3.31M<br>4,753,320 | 0<br>0<br>3,425<br>0<br>0<br>0<br>0<br>2,085<br>0<br>0<br>0<br>0<br>0<br>22,075<br>7,011<br>0<br>0 | Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Celeb(Web)<br>Non-Celeb(Web) |","| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| --- | --- | --- | --- | --- | --- |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Dataset | F1score | accuracy | precision | recall |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| before | after | before | after | before | after | before | after |","| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 |\n| Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 |\n| Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |",1]
["| Dataset | F1score | accuracy | precision | recall |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| before | after | before | after | before | after | before | after |","| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 |\n| 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 |  |\n| 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 |  |\n| 0.81,0.14 | 0.93,0.13 | 0.87,0.11 | 0.89,0.11 | 15.0,19.6 |  |\n| 2 | 0.60,0.16 | 0.96,0.11 | 0.62,0.16 | 0.73,0.16 | 20.2,15.5 |\n| 0.64,0.16 | 0.98,0.07 | 0.66,0.16 | 0.77,0.13 | 24.3,17.9 |  |\n| 0.80,0.15 | 0.90,0.13 | 0.89,0.12 | 0.88,0.11 | 13.8,18.4 |  |\n| 0.83,0.15 | 0.91,0.12 | 0.91,0.12 | 0.90,0.11 | 13.6,20.1 |  |\n| 3 | 0.49,0.18 | 0.94,0.11 | 0.52,0.21 | 0.63,0.19 | 32.2,23.5 |\n| 0.54,0.17 | 0.97,0.10 | 0.55,0.17 | 0.68,0.15 | 31.7,20.3 |  |\n| 0.70,0.23 | 0.89,0.14 | 0.79,0.25 | 0.80,0.21 | 21.7,24.3 |  |\n| 0.77,0.17 | 0.89,0.11 | 0.85,0.16 | 0.86,0.13 | 13.8,18.2 |  |\n| 4 | 0.44,0.18 | 0.94,0.13 | 0.46,0.20 | 0.59,0.20 | 33.6,22.0 |\n| 0.47,0.15 | 0.97,0.09 | 0.48,0.16 | 0.62,0.16 | 34.5,17.9 |  |\n| 0.75,0.18 | 0.80,0.19 | 0.93,0.11 | 0.84,0.14 | 27.1,29.3 |  |\n| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 |  |\n| 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 |\n| 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 |  |\n| 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 |  |\n| 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 |  |\n| 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 |\n| 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 |  |\n| 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 |  |\n| 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 |  |\n| 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 |\n| 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 |  |\n| 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 |  |\n| 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 |  |",0]
["| Dataset | F1score | accuracy | precision | recall |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| before | after | before | after | before | after | before | after |  |\n| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |","| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 |\n| Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |",1]
["| Dataset | F1score | accuracy | precision | recall |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| before | after | before | after | before | after | before | after |  |\n| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |","| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 |  |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 |\n| 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 |  |\n| 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 |  |\n| 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 |  |\n| 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 |\n| 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 |  |\n| 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 |  |\n| 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 |  |\n| 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 |\n| 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 |  |\n| 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 |  |\n| 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 |  |",0]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 |\n| Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 |\n| Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |\n| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |","| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 |\n| BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |",1]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 |\n| Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 |\n| Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |\n| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |","|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 |\n| Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 |\n| Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 |\n| Skip-gram-2 | 0.269 | 0.433 | 0.206 | 0.437 | 0.197 | 0.411 | 0.228 | 0.537 | 0.445 | 0.620 |\n| Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 |\n| BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 |\n| BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |",0]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 |\n| Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 |\n| Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |","| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 |\n| BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 |\n| BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |",1]
["|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 |\n| Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 |\n| Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |","| UniGram | 0.228 | 0.221 | 0.182 | 0.207 | 0.173 | 0.189 | 0.1993 | 0.213 | 0.687 | 0.732 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bi-gram | 0.244 | 0.285 | 0.183 | 0.310 | 0.175 | 0.292 | 0.205 | 0.383 | 0.314 | 0.420 |\n| Tri-gram | 0.230 | 0.188 | 0.172 | 0.246 | 0.164 | 0.221 | 0.197 | 0.269 | 0.178 | 0.249 |\n| Skip-gram-2 | 0.269 | 0.433 | 0.206 | 0.437 | 0.197 | 0.411 | 0.228 | 0.537 | 0.445 | 0.620 |\n| Skip-gram-3 | 0.268 | 0.374 | 0.200 | 0.439 | 0.192 | 0.411 | 0.223 | 0.425 | 0.496 | 0.293 |\n| BOW-2 | 0.270 | 0.434 | 0.210 | 0.414 | 0.200 | 0.394 | 0.231 | 0.520 | 0.472 | 0.659 |\n| BOW-3 | 0.286 | 0.457 | 0.219 | 0.593 | 0.209 | 0.563 | 0.247 | 0.590 | 0.490 | 0.643 |",0]
["| [137×137×3] |\n| --- |\n| Conv(7×7)<br>[69×69×32] |\n| Conv(3×3)<br>[35×35×32] |\n| Conv(3×3)<br>[18×18×64] |\n| Conv(3×3)<br>[9×9×64] |","| Conv(3×3)<br>[5×5×128] |\n| --- |\n| FC<br>[1024] |\n| FC<br>[1024] |\n| FC<br>3<br>[4×c] |",1]
["| [137×137×3] |\n| --- |\n| Conv(7×7)<br>[69×69×32] |\n| Conv(3×3)<br>[35×35×32] |\n| Conv(3×3)<br>[18×18×64] |\n| Conv(3×3)<br>[9×9×64] |","| 32 | 64(2ﬁlters) | 64(4ﬁlters) | 64(InvConv) |\n| --- | --- | --- | --- |\n|  | 3<br>[64×1] |  |  |\n| 3<br>[32×1] | Conv(3)<br>3<br>[32×32] |  |  |\n| Conv(3)<br>3<br>[16×32] | Conv(3)<br>3<br>[16×48] |  |  |\n| Conv(3)<br>3<br>[8×48] | Conv(3)<br>3<br>[8×64] |  |  |\n| Conv(3)<br>3<br>[4×64] | Conv(3)<br>3<br>[4×80] |  |  |\n| FC<br>[1024] | FC<br>[1024] |  |  |\n| FC<br>[1024] | FC<br>[1024] |  |  |\n| FC<br>3<br>[4×80] | FC<br>3<br>[4×96] |  |  |\n| Deconv(2)<br>3<br>[8×64] | Deconv(2)<br>3<br>[8×80] |  |  |\n| Conv(3)→l1<br>3<br>[8×64] | Conv(3)<br>3<br>[8×80] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[16×48] | 3<br>Deconv(2)<br>3<br>[16×64] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[32×32] | 3<br>Conv(3)→l1<br>3<br>[16×64] |  |  |\n|  | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(4)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[32×48]<br>3<br>OGNConv*(3)→l2<br>3<br>[32×48] |\n|  | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(4)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[64×32]<br>3<br>OGNConv*(3)→l3<br>3<br>[64×32] |",0]
["| [137×137×3] |\n| --- |\n| Conv(7×7)<br>[69×69×32] |\n| Conv(3×3)<br>[35×35×32] |\n| Conv(3×3)<br>[18×18×64] |\n| Conv(3×3)<br>[9×9×64] |","| Conv(3×3)<br>[5×5×128] |\n| --- |\n| FC<br>[1024] |\n| FC<br>[1024] |\n| FC<br>3<br>[4×c] |",1]
["| [137×137×3] |\n| --- |\n| Conv(7×7)<br>[69×69×32] |\n| Conv(3×3)<br>[35×35×32] |\n| Conv(3×3)<br>[18×18×64] |\n| Conv(3×3)<br>[9×9×64] |","| FC<br>[1024] | FC<br>[1024] |  |  |\n| --- | --- | --- | --- |\n| FC<br>3<br>[4×80] | FC<br>3<br>[4×96] |  |  |\n| Deconv(2)<br>3<br>[8×64] | Deconv(2)<br>3<br>[8×80] |  |  |\n| Conv(3)→l1<br>3<br>[8×64] | Conv(3)<br>3<br>[8×80] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[16×48] | 3<br>Deconv(2)<br>3<br>[16×64] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[32×32] | 3<br>Conv(3)→l1<br>3<br>[16×64] |  |  |\n|  | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(4)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[32×48]<br>3<br>OGNConv*(3)→l2<br>3<br>[32×48] |\n|  | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(4)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[64×32]<br>3<br>OGNConv*(3)→l3<br>3<br>[64×32] |",0]
["| Method | S→U | E→H |\n| --- | --- | --- |\n| MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |","| HiGAN(nolabeledvideo) | 0.954 | 0.446 |\n| --- | --- | --- |\n| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 |\n| HiGAN(threelabeledvideos) | 0.967 | 0.526 |",1]
["| Method | S→U | E→H |\n| --- | --- | --- |\n| MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |","| Image | Method | CSr |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.02 | 0.04 | 0.06 | 0.08 | 0.10 |  |  |\n| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 |\n| Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 |\n| Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 |\n| Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 |\n| House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 |\n| Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 |\n| Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 |\n| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",0]
["| Method | S→U | E→H |\n| --- | --- | --- |\n| MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |\n| HiGAN(nolabeledvideo) | 0.954 | 0.446 |","| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 |\n| --- | --- | --- |\n| HiGAN(threelabeledvideos) | 0.967 | 0.526 |",1]
["| Method | S→U | E→H |\n| --- | --- | --- |\n| MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |\n| HiGAN(nolabeledvideo) | 0.954 | 0.446 |","| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 |\n| Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 |\n| Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 |\n| House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 |\n| Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 |\n| Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 |\n| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",0]
["| date | truepositives | falsepositives | falsenegatives |\n| --- | --- | --- | --- |\n| 2012-07-02 | 1 | 0 | 0 |\n| 2012-07-03 | 3 | 0 | 0 |","| 2012-07-04 | 2 | 0 | 0 |\n| --- | --- | --- | --- |\n| 2012-07-05 | 2 | 0 | 0 |\n| 2012-07-06 | 3 | 0 | 0 |\n| 2012-07-08 | 0 | 0 | 2 |\n| 2012-07-09 | 2 | 0 | 0 |\n| 2012-07-10 | 2 | 0 | 0 |\n| 2012-07-11 | 0 | 0 | 1 |\n| 2012-07-14 | 1 | 0 | 0 |\n| 2012-07-29 | 1 | 0 | 0 |\n| 2012-07-30 | 1 | 0 | 0 |\n| total | 18 | 0 | 3 |",1]
["| date | truepositives | falsepositives | falsenegatives |\n| --- | --- | --- | --- |\n| 2012-07-02 | 1 | 0 | 0 |\n| 2012-07-03 | 3 | 0 | 0 |","| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 |\n| 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 |\n| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 |\n| Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |",0]
["| date | truepositives | falsepositives | falsenegatives |\n| --- | --- | --- | --- |\n| 2012-07-02 | 1 | 0 | 0 |\n| 2012-07-03 | 3 | 0 | 0 |\n| 2012-07-04 | 2 | 0 | 0 |\n| 2012-07-05 | 2 | 0 | 0 |\n| 2012-07-06 | 3 | 0 | 0 |\n| 2012-07-08 | 0 | 0 | 2 |\n| 2012-07-09 | 2 | 0 | 0 |","| 2012-07-10 | 2 | 0 | 0 |\n| --- | --- | --- | --- |\n| 2012-07-11 | 0 | 0 | 1 |\n| 2012-07-14 | 1 | 0 | 0 |\n| 2012-07-29 | 1 | 0 | 0 |\n| 2012-07-30 | 1 | 0 | 0 |\n| total | 18 | 0 | 3 |",1]
["| date | truepositives | falsepositives | falsenegatives |\n| --- | --- | --- | --- |\n| 2012-07-02 | 1 | 0 | 0 |\n| 2012-07-03 | 3 | 0 | 0 |\n| 2012-07-04 | 2 | 0 | 0 |\n| 2012-07-05 | 2 | 0 | 0 |\n| 2012-07-06 | 3 | 0 | 0 |\n| 2012-07-08 | 0 | 0 | 2 |\n| 2012-07-09 | 2 | 0 | 0 |","| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 |","| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 46.5<br>44.7<br>47.7<br>49.3<br>51.1<br>52.9<br>52.7<br>53.2 | 74.5<br>73.7<br>75.4<br>76.5<br>77.7<br>79.3<br>78.8<br>79.0 | 82.2<br>81.4<br>82.7<br>84.3<br>85.1<br>86.2<br>85.7<br>86.9 | 88.1<br>87.4<br>88.9<br>89.6<br>91.2<br>92.2<br>91.8<br>92.7 | 92.7<br>91.6<br>92.5<br>93.3<br>94.4<br>95.0<br>94.8<br>95.6 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 57.8<br>57.3<br>58.2<br>61.5<br>63.2<br>65.1<br>65.3<br>65.7 | 79.0<br>78.5<br>79.5<br>80.4<br>82.7<br>84.9<br>84.9<br>84.6 | 87.3<br>86.7<br>88.2<br>89.7<br>90.5<br>91.2<br>91.4<br>91.8 | 92.8<br>92.6<br>93.4<br>94.2<br>94.8<br>95.4<br>95.1<br>95.8 | 96.2<br>95.8<br>96.7<br>96.9<br>97.3<br>97.7<br>97.4<br>96.9 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 |","| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |\n| No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 46.5<br>44.7<br>47.7<br>49.3<br>51.1<br>52.9<br>52.7<br>53.2 | 74.5<br>73.7<br>75.4<br>76.5<br>77.7<br>79.3<br>78.8<br>79.0 | 82.2<br>81.4<br>82.7<br>84.3<br>85.1<br>86.2<br>85.7<br>86.9 | 88.1<br>87.4<br>88.9<br>89.6<br>91.2<br>92.2<br>91.8<br>92.7 | 92.7<br>91.6<br>92.5<br>93.3<br>94.4<br>95.0<br>94.8<br>95.6 |","| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 57.8<br>57.3<br>58.2<br>61.5<br>63.2<br>65.1<br>65.3<br>65.7 | 79.0<br>78.5<br>79.5<br>80.4<br>82.7<br>84.9<br>84.9<br>84.6 | 87.3<br>86.7<br>88.2<br>89.7<br>90.5<br>91.2<br>91.4<br>91.8 | 92.8<br>92.6<br>93.4<br>94.2<br>94.8<br>95.4<br>95.1<br>95.8 | 96.2<br>95.8<br>96.7<br>96.9<br>97.3<br>97.7<br>97.4<br>96.9 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- |\n| No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 39.6<br>38.2<br>40.5<br>42.7<br>44.4<br>45.8<br>45.6<br>46.1 | 64.9<br>63.6<br>66.3<br>69.3<br>71.6<br>72.8<br>72.5<br>73.3 | 76.0<br>75.1<br>76.3<br>78.2<br>82.2<br>82.8<br>82.4<br>83.3 | 85.3<br>84.9<br>87.8<br>87.4<br>89.8<br>90.3<br>90.3<br>90.7 | 89.3<br>88.9<br>90.4<br>91.1<br>93.3<br>93.4<br>93.5<br>93.8 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 |\n| No-structure<br>Simple-average<br>AC+global<br>No-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 46.5<br>44.7<br>47.7<br>49.3<br>51.1<br>52.9<br>52.7<br>53.2 | 74.5<br>73.7<br>75.4<br>76.5<br>77.7<br>79.3<br>78.8<br>79.0 | 82.2<br>81.4<br>82.7<br>84.3<br>85.1<br>86.2<br>85.7<br>86.9 | 88.1<br>87.4<br>88.9<br>89.6<br>91.2<br>92.2<br>91.8<br>92.7 | 92.7<br>91.6<br>92.5<br>93.3<br>94.4<br>95.0<br>94.8<br>95.6 |","| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["|  | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Analysis1 | 0.71 | 0.5 | 0.59 |","| Analysis2 | 1 | 0.6 | 0.75 |\n| --- | --- | --- | --- |\n| Analysis3 | 1 | 0.5 | 0.67 |\n| Analysis4 | 0.7 | 0.3 | 0.42 |\n| Average | 0.85 | 0.48 | 0.61 |",1]
["|  | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Analysis1 | 0.71 | 0.5 | 0.59 |","| Precision | Recall | F-measure | MAE |\n| --- | --- | --- | --- |\n| 0.892 | 0.811 | 0.872 | 0.084 |\n| 0.852 | 0.746 | 0.825 | 0.132 |\n| 0.912 | 0.740 | 0.865 | 0.107 |\n| 0.873 | 0.730 | 0.836 | 0.129 |",0]
["|  | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Analysis1 | 0.71 | 0.5 | 0.59 |","| Analysis2 | 1 | 0.6 | 0.75 |\n| --- | --- | --- | --- |\n| Analysis3 | 1 | 0.5 | 0.67 |\n| Analysis4 | 0.7 | 0.3 | 0.42 |\n| Average | 0.85 | 0.48 | 0.61 |",1]
["|  | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Analysis1 | 0.71 | 0.5 | 0.59 |","| 0.912 | 0.740 | 0.865 | 0.107 |\n| --- | --- | --- | --- |\n| 0.873 | 0.730 | 0.836 | 0.129 |",0]
["| Topic1 | Topic3 |\n| --- | --- |\n| web[0.0048] | set[0.0047] |\n| search[0.0048] | software[0.0032] |\n| online[0.0047] | virus[0.0028] |\n| news[0.0046] | users[0.0027] |\n| google[0.0033] | ﬁrms[0.0025] |\n| people[0.0032] | microsoft[0.0025] |\n| information[0.0032] | security[0.0022] |\n| internet[0.0029] | windows[0.0022] |\n| website[0.0027] | ﬁle[0.0013] |\n| users[0.0020] | programs[0.0011] |\n| Topic2 | Topic4 |\n| system[0.0064] | site[0.0042] |\n| music[0.0045] | net[0.0038] |\n| devices[0.0043] | spam[0.0035] |\n| players[0.0035] | mail[0.0028] |\n| media[0.0032] | ﬁrm[0.0027] |\n| digital[0.0027] | data[0.0024] |","| market[0.0024] | attacks[0.0019] |\n| --- | --- |\n| technology[0.0022] | network[0.0018] |\n| consumer[0.0021] | web[0.0016] |\n| technologies[0.0018] | research[0.0014] |",1]
["| Topic1 | Topic3 |\n| --- | --- |\n| web[0.0048] | set[0.0047] |\n| search[0.0048] | software[0.0032] |\n| online[0.0047] | virus[0.0028] |\n| news[0.0046] | users[0.0027] |\n| google[0.0033] | ﬁrms[0.0025] |\n| people[0.0032] | microsoft[0.0025] |\n| information[0.0032] | security[0.0022] |\n| internet[0.0029] | windows[0.0022] |\n| website[0.0027] | ﬁle[0.0013] |\n| users[0.0020] | programs[0.0011] |\n| Topic2 | Topic4 |\n| system[0.0064] | site[0.0042] |\n| music[0.0045] | net[0.0038] |\n| devices[0.0043] | spam[0.0035] |\n| players[0.0035] | mail[0.0028] |\n| media[0.0032] | ﬁrm[0.0027] |\n| digital[0.0027] | data[0.0024] |","| Type | Feature | InformationGain |  |\n| --- | --- | --- | --- |\n| Anonymous | Identiﬁable |  |  |\n| Numeric | #offriends | 0.015026 | 0.04283 |\n| #offollowers | 0.009373 | 0.04705 |  |\n| followers-to-friendsratio | 0.000822 | 0.00468 |  |\n| #ofuserlistmemberships | 0.002298 | 0.02168 |  |\n| #oftweets | 0.005205 | 0.02584 |  |\n| #offavoritetweets | 0.016624 | 0.0166 |  |\n| numberofparts/wordsinthenamestring | 0.033509 | 0.19704 |  |\n| popularityrankofoccurringﬁrstnameinthe<br>namelist | 0.156569 | 0.23648 |  |\n| popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 |  |\n| #ofScrabblewordspresentinthename | 0.023888 | 0.06242 |  |\n| wordfrequencyrankofoccurringﬁrstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 |  |\n| wordfrequencyrankofoccurringlastnamein<br>Scrabblelist | 0.033384 | 0.07316 |  |\n| Boolean | enabledprotectedprivacyfeature | 0.00023 | 0.00129 |\n| enabledgeo-taggingfortweets | 0.002429 | 0.00105 |  |\n| includesaurlintheproﬁle | 0.091024 | 0.00821 |  |\n| namefollowsstructuralconstraints | 0.044985 | 0.185 |  |",0]
["| Topic1 | Topic3 |\n| --- | --- |\n| web[0.0048] | set[0.0047] |\n| search[0.0048] | software[0.0032] |\n| online[0.0047] | virus[0.0028] |\n| news[0.0046] | users[0.0027] |\n| google[0.0033] | ﬁrms[0.0025] |\n| people[0.0032] | microsoft[0.0025] |\n| information[0.0032] | security[0.0022] |\n| internet[0.0029] | windows[0.0022] |\n| website[0.0027] | ﬁle[0.0013] |\n| users[0.0020] | programs[0.0011] |\n| Topic2 | Topic4 |\n| system[0.0064] | site[0.0042] |\n| music[0.0045] | net[0.0038] |\n| devices[0.0043] | spam[0.0035] |\n| players[0.0035] | mail[0.0028] |\n| media[0.0032] | ﬁrm[0.0027] |\n| digital[0.0027] | data[0.0024] |\n| market[0.0024] | attacks[0.0019] |","| technology[0.0022] | network[0.0018] |\n| --- | --- |\n| consumer[0.0021] | web[0.0016] |\n| technologies[0.0018] | research[0.0014] |",1]
["| Topic1 | Topic3 |\n| --- | --- |\n| web[0.0048] | set[0.0047] |\n| search[0.0048] | software[0.0032] |\n| online[0.0047] | virus[0.0028] |\n| news[0.0046] | users[0.0027] |\n| google[0.0033] | ﬁrms[0.0025] |\n| people[0.0032] | microsoft[0.0025] |\n| information[0.0032] | security[0.0022] |\n| internet[0.0029] | windows[0.0022] |\n| website[0.0027] | ﬁle[0.0013] |\n| users[0.0020] | programs[0.0011] |\n| Topic2 | Topic4 |\n| system[0.0064] | site[0.0042] |\n| music[0.0045] | net[0.0038] |\n| devices[0.0043] | spam[0.0035] |\n| players[0.0035] | mail[0.0028] |\n| media[0.0032] | ﬁrm[0.0027] |\n| digital[0.0027] | data[0.0024] |\n| market[0.0024] | attacks[0.0019] |","| #ofuserlistmemberships | 0.002298 | 0.02168 |  |\n| --- | --- | --- | --- |\n| #oftweets | 0.005205 | 0.02584 |  |\n| #offavoritetweets | 0.016624 | 0.0166 |  |\n| numberofparts/wordsinthenamestring | 0.033509 | 0.19704 |  |\n| popularityrankofoccurringﬁrstnameinthe<br>namelist | 0.156569 | 0.23648 |  |\n| popularityrankofoccurringlastnameinthe<br>namelist | 0.062874 | 0.2413 |  |\n| #ofScrabblewordspresentinthename | 0.023888 | 0.06242 |  |\n| wordfrequencyrankofoccurringﬁrstnameinthe<br>Scrabblelist | 0.040174 | 0.06794 |  |\n| wordfrequencyrankofoccurringlastnamein<br>Scrabblelist | 0.033384 | 0.07316 |  |\n| Boolean | enabledprotectedprivacyfeature | 0.00023 | 0.00129 |\n| enabledgeo-taggingfortweets | 0.002429 | 0.00105 |  |\n| includesaurlintheproﬁle | 0.091024 | 0.00821 |  |\n| namefollowsstructuralconstraints | 0.044985 | 0.185 |  |",0]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| Dissimilar |  |  |  |  |","|  | K | N.TFT | B. | C. |\n| --- | --- | --- | --- | --- |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",1]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| Dissimilar |  |  |  |  |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| Dissimilar |  |  |  |  |","|  | K | N.TFT | B. | C. |\n| --- | --- | --- | --- | --- |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",1]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| Dissimilar |  |  |  |  |","| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| --- | --- | --- |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Focus | Description |\n| --- | --- |\n| F0 | baselinebroadcastspeech(clean,planned) |\n| F1 | spontaneousbroadcastspeech(clean) |\n| F2 | lowﬁdelityspeech(typicallynarrowband) |","| F3 | speechinthepresenceofbackgroundmusic |\n| --- | --- |\n| F4 | speechunderdegradedacousticalconditions |\n| F5 | non-nativespeakers(clean,planned) |\n| FX | allotherspeech(e.g.spontanousnon-native) |",1]
["| Focus | Description |\n| --- | --- |\n| F0 | baselinebroadcastspeech(clean,planned) |\n| F1 | spontaneousbroadcastspeech(clean) |\n| F2 | lowﬁdelityspeech(typicallynarrowband) |","| Device-directedspeech |\n| --- |\n| what’stheweatherlikeinlasvegas |\n| playpopularmusic |\n| marktheﬁrstitemdone |\n| whatisscratchprogramming |\n| Nondevice-directedspeech |\n| oriftheywantshecanjustqueueforbetter |\n| wellthat’showwehadallthetraining |\n| talktoalexabutwe’retalkingtodannyrightnow |\n| livetogetherlikemonthsagoandtheymaystillbe<br>boring |",0]
["| Focus | Description |\n| --- | --- |\n| F0 | baselinebroadcastspeech(clean,planned) |\n| F1 | spontaneousbroadcastspeech(clean) |\n| F2 | lowﬁdelityspeech(typicallynarrowband) |","| F3 | speechinthepresenceofbackgroundmusic |\n| --- | --- |\n| F4 | speechunderdegradedacousticalconditions |\n| F5 | non-nativespeakers(clean,planned) |\n| FX | allotherspeech(e.g.spontanousnon-native) |",1]
["| Focus | Description |\n| --- | --- |\n| F0 | baselinebroadcastspeech(clean,planned) |\n| F1 | spontaneousbroadcastspeech(clean) |\n| F2 | lowﬁdelityspeech(typicallynarrowband) |","| talktoalexabutwe’retalkingtodannyrightnow |\n| --- |\n| livetogetherlikemonthsagoandtheymaystillbe<br>boring |",0]
["| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |","| 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 |\n| 112 | 12547 | 18 | 54 | 0 | 64.6 | 60.6 | 65.6 | 89.6 |\n| 128 | 16411 | 19 | 60 | 0 | 70.8 | 67.8 | 72.8 | 98.8 |\n| 160 | 25601 | 20 | 75 | 0 | 86.2 | 82.2 | 88.2 | 119.7 |\n| 224 | 50177 | 21 | 93 | 13 | 117.8 | 111.8 | 121.8 | 164.3 |\n| 256 | 65537 | 22 | 106 | 15 | 133.0 | 125.0 | 137.0 | 182.7 |\n| 384 | 147457 | 24 | 164 | 18 | 194.7 | 183.7 | 201.7 | 273.3 |\n| 512 | 262147 | 25 | 219 | 25 | 257.2 | 242.2 | 266.2 | 361.6 |",1]
["| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |","| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |\n| 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 |\n| 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 |\n| 112 | 12547 | 18 | 54 | 0 | 64.6 | 60.6 | 65.6 | 89.6 |","| 128 | 16411 | 19 | 60 | 0 | 70.8 | 67.8 | 72.8 | 98.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 160 | 25601 | 20 | 75 | 0 | 86.2 | 82.2 | 88.2 | 119.7 |\n| 224 | 50177 | 21 | 93 | 13 | 117.8 | 111.8 | 121.8 | 164.3 |\n| 256 | 65537 | 22 | 106 | 15 | 133.0 | 125.0 | 137.0 | 182.7 |\n| 384 | 147457 | 24 | 164 | 18 | 194.7 | 183.7 | 201.7 | 273.3 |\n| 512 | 262147 | 25 | 219 | 25 | 257.2 | 242.2 | 266.2 | 361.6 |",1]
["| n | q | k | log(m) | log(N) | Reasonable | Optimistic | Pessimistic | Previous |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 64 | 4099 | 16 | 30 | 0 | 39.6 | 39.6 | 40.6 | 56.2 |\n| 80 | 6421 | 17 | 38 | 0 | 47.9 | 46.0 | 48.0 | 66.9 |\n| 96 | 9221 | 18 | 45 | 0 | 55.3 | 54.3 | 56.3 | 77.4 |\n| 112 | 12547 | 18 | 54 | 0 | 64.6 | 60.6 | 65.6 | 89.6 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Name | #Features | #Retainedfeatures |\n| --- | --- | --- |\n| Dailyaverage(AVG) | 23 | 18 |\n| Fixedinterval | 36 | 34 |\n| Generictimeseries(GTS) | 222 | 162 |","| Intrayeardiﬀerence | 12 | 12 |\n| --- | --- | --- |\n| Intrayearseasonaldiﬀerence | 11 | 11 |\n| Total | 304 | 237 |",1]
["| Name | #Features | #Retainedfeatures |\n| --- | --- | --- |\n| Dailyaverage(AVG) | 23 | 18 |\n| Fixedinterval | 36 | 34 |\n| Generictimeseries(GTS) | 222 | 162 |","| #APKs | TotalTime | AVGTime/APK |\n| --- | --- | --- |\n| 200 | 518 | 2.59 |\n| 400 | 1066 | 2.67 |\n| 600 | 1578 | 2.63 |\n| 800 | 2097 | 2.62 |\n| 1,000 | 2778 | 2.78 |",0]
["| Name | #Features | #Retainedfeatures |\n| --- | --- | --- |\n| Dailyaverage(AVG) | 23 | 18 |\n| Fixedinterval | 36 | 34 |\n| Generictimeseries(GTS) | 222 | 162 |\n| Intrayeardiﬀerence | 12 | 12 |","| Intrayearseasonaldiﬀerence | 11 | 11 |\n| --- | --- | --- |\n| Total | 304 | 237 |",1]
["| Name | #Features | #Retainedfeatures |\n| --- | --- | --- |\n| Dailyaverage(AVG) | 23 | 18 |\n| Fixedinterval | 36 | 34 |\n| Generictimeseries(GTS) | 222 | 162 |\n| Intrayeardiﬀerence | 12 | 12 |","| 800 | 2097 | 2.62 |\n| --- | --- | --- |\n| 1,000 | 2778 | 2.78 |",0]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)CND |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM) |\n| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |","|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |",1]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)CND |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM) |\n| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |","|  | SVMSVM(RR)SVM(SDB)SVM(RM) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) |\n|  | LRLR(RR)LR(SDB)LR(RM) |\n| labelerror<br>bias<br>RRB | 0.2742(1.14e-16)0.3130(0.011)0.2745(0.010)0.2966(0.008)<br>0.1468(9.99e-18)0.3025(0.040)0.0034(0.640)0.0732(0.024)<br>0.1971(0.036)0.3213(0.035)0.8596(0.067)0.2117(0.036) |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) |",0]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)CND |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM) |","| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |\n| --- | --- |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |",1]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM)CND |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM) |","|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) |",0]
["|  | RegExLib | Snort |\n| --- | --- | --- |\n| Totalpatterns | 2994 | 12499 |\n| Analyzable(onlyregularconstructs) | 2213 | 9408 |\n| UsesKleenestar | 1103 | 2741 |\n| PumpableKleeneandsuﬃxfound | 127 | 15 |","| PumpableKleeneonly | 20 | 4 |\n| --- | --- | --- |\n| NopumpableKleene | 2066 | 9389 |\n| MaxHFπsteps | 509 | 256 |\n| Totalclassiﬁcationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |",1]
["|  | RegExLib | Snort |\n| --- | --- | --- |\n| Totalpatterns | 2994 | 12499 |\n| Analyzable(onlyregularconstructs) | 2213 | 9408 |\n| UsesKleenestar | 1103 | 2741 |\n| PumpableKleeneandsuﬃxfound | 127 | 15 |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 17 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | PI21 | Flow3 | PI9 |\n| Flow2 | PI15 | Flow4 | Pi3 |\n| Throughputﬂow1 | 130.03kbps | Throughputﬂow3 | 71.76kbps |\n| Throughputﬂow2 | 81.71kbps | Throughputﬂow4 | 59.68kbps |",0]
["|  | RegExLib | Snort |\n| --- | --- | --- |\n| Totalpatterns | 2994 | 12499 |","| Analyzable(onlyregularconstructs) | 2213 | 9408 |\n| --- | --- | --- |\n| UsesKleenestar | 1103 | 2741 |\n| PumpableKleeneandsuﬃxfound | 127 | 15 |\n| PumpableKleeneonly | 20 | 4 |\n| NopumpableKleene | 2066 | 9389 |\n| MaxHFπsteps | 509 | 256 |\n| Totalclassiﬁcationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |",1]
["|  | RegExLib | Snort |\n| --- | --- | --- |\n| Totalpatterns | 2994 | 12499 |","| Tc | 1.5msec | Queuelength | 100 |\n| --- | --- | --- | --- |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | PI21 | Flow3 | PI9 |\n| Flow2 | PI15 | Flow4 | Pi3 |\n| Throughputﬂow1 | 130.03kbps | Throughputﬂow3 | 71.76kbps |\n| Throughputﬂow2 | 81.71kbps | Throughputﬂow4 | 59.68kbps |",0]
["| Event | TopDomains(numberofresourcesfound) |\n| --- | --- |\n| MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |\n| Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) |","| H1N1 | rhizalabs(676),reuters(17),google(16),ﬂutrackers(16),calgaryherald(11) |\n| --- | --- |\n| Obama | blogspot(16),nytimes(15),wordpress(12),youtube(11),cnn(10) |\n| Egypt | youtube(2414),cloudfront(2303),yfrog(1255),twitpic(114),imageshack.us(20) |\n| Syria | youtube(130),twitter(61),hostpic.biz(9),telegraph.co.uk(5) |",1]
["| Event | TopDomains(numberofresourcesfound) |\n| --- | --- |\n| MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |\n| Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) |","| Referrer | Clicks |\n| --- | --- |\n| http://www.google.com | 980 |\n| http://m.facebook.com | 670 |\n| http://fasebook.c0m.at | 640 |\n| http://www.facebook.com | 550 |\n| http://www.clixsense.com | 220 |\n| http://www.youtube.com | 181 |\n| http://servinox.com.co | 132 |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",0]
["| Event | TopDomains(numberofresourcesfound) |\n| --- | --- |\n| MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |","| Iran | youtube(385),twitpic(36),blogspot(30),roozonline(29) |\n| --- | --- |\n| H1N1 | rhizalabs(676),reuters(17),google(16),ﬂutrackers(16),calgaryherald(11) |\n| Obama | blogspot(16),nytimes(15),wordpress(12),youtube(11),cnn(10) |\n| Egypt | youtube(2414),cloudfront(2303),yfrog(1255),twitpic(114),imageshack.us(20) |\n| Syria | youtube(130),twitter(61),hostpic.biz(9),telegraph.co.uk(5) |",1]
["| Event | TopDomains(numberofresourcesfound) |\n| --- | --- |\n| MJ | youtube(110),twitpic(45),latimes(43),cnn(30),amazon(30) |","| http://servinox.com.co | 132 |\n| --- | --- |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",0]
["| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 |\n| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |","| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",1]
["| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 |\n| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |","| Skip | NA | BN | IN | NA | BN |\n| --- | --- | --- | --- | --- | --- |\n| Dec | NA | NA | NA | BN | BN |\n| PSNR<br>SSIM | 18.24<br>0.7945 | 25.67<br>0.9442 | 26.00<br>0.9414 | 25.99<br>0.9385 | 26.38<br>0.9519 |\n| Skip | IN | NA | BN | IN | Perceptual<br>loss |\n| Dec | BN | IN | IN | IN |  |\n| PSNR<br>SSIM | 26.89<br>0.9535 | 26.57<br>0.9381 | 27.67<br>0.9543 | 27.75<br>0.9549 | 27.79<br>0.9556 |",0]
["| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 |\n| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |","| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",1]
["| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 |\n| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |","| Dec | BN | IN | IN | IN |  |\n| --- | --- | --- | --- | --- | --- |\n| PSNR<br>SSIM | 26.89<br>0.9535 | 26.57<br>0.9381 | 27.67<br>0.9543 | 27.75<br>0.9549 | 27.79<br>0.9556 |",0]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 |\n| 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 |\n| 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 |\n| 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 |\n| 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 |\n| 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |\n| 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 |\n| 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 |\n| 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 |","| 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 |\n| --- | --- | --- | --- | --- | --- |\n| 3,000,1.0 | 12,999 | 12,999 | 12,999 | 0.1543,000 | 13,000 |\n| 10,000,1.0 | 19,999 | 19,999 | 19,999 | 0.63410,000 | 110,000 |",1]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 |\n| 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 |\n| 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 |\n| 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 |\n| 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 |\n| 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |\n| 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 |\n| 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 |\n| 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 |","| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.8192,162 | 0.6581,438 | 0.1983,789 | 0.0551,166 | 0.273131 |\n| 3,000,0.3 | 0.46023,929 | 0.4544,108 | 0.1534,441 | 0.1082,787 | 0.215692 |\n| 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 |\n| 1,000,0.5 | 0.9942,666 | 0.9161,128 | 0.4731,973 | 0.0681,166 | 0.329193 |\n| 3,000,0.5 | 0.9955,925 | 0.8153,853 | 0.2825,904 | 0.1132,787 | 0.230690 |\n| 10,000,0.5 | 0.99713,653 | 0.83212,449 | 0.30420,301 | 0.5329,587 | 0.2472,201 |\n| 1,000,0.9 | 12453 | 0.9975,761 | 0.8664,830 | 0.0671,156 | 0.363218 |\n| 3,000,0.9 | 114,784 | 0.98910,756 | 0.7689,262 | 0.1102,775 | 0.207592 |\n| 10,000,0.9 | 1254,357 | 0.99132,705 | 0.7823,2676 | 0.4709,543 | 0.2302,062 |\n| 1,000,1.0 | 11803 | 0.9971,939 | 0.9261,705 | 0.081754 | 0.371205 |\n| 3,000,1.0 | 15703 | 0.9858,018 | 0.8085,735 | 0.1341,986 | 0.237523 |\n| 10,000,1.0 | 112,343 | 0.98819,293 | 0.82618,565 | 0.6816,739 | 0.2601,838 |",0]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 |\n| 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 |\n| 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 |\n| 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 |\n| 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 |\n| 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |","| 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 |\n| --- | --- | --- | --- | --- | --- |\n| 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 |\n| 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 |\n| 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 |\n| 3,000,1.0 | 12,999 | 12,999 | 12,999 | 0.1543,000 | 13,000 |\n| 10,000,1.0 | 19,999 | 19,999 | 19,999 | 0.63410,000 | 110,000 |",1]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 |\n| 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 |\n| 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 |\n| 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 |\n| 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 |\n| 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |","| 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.5 | 0.9942,666 | 0.9161,128 | 0.4731,973 | 0.0681,166 | 0.329193 |\n| 3,000,0.5 | 0.9955,925 | 0.8153,853 | 0.2825,904 | 0.1132,787 | 0.230690 |\n| 10,000,0.5 | 0.99713,653 | 0.83212,449 | 0.30420,301 | 0.5329,587 | 0.2472,201 |\n| 1,000,0.9 | 12453 | 0.9975,761 | 0.8664,830 | 0.0671,156 | 0.363218 |\n| 3,000,0.9 | 114,784 | 0.98910,756 | 0.7689,262 | 0.1102,775 | 0.207592 |\n| 10,000,0.9 | 1254,357 | 0.99132,705 | 0.7823,2676 | 0.4709,543 | 0.2302,062 |\n| 1,000,1.0 | 11803 | 0.9971,939 | 0.9261,705 | 0.081754 | 0.371205 |\n| 3,000,1.0 | 15703 | 0.9858,018 | 0.8085,735 | 0.1341,986 | 0.237523 |\n| 10,000,1.0 | 112,343 | 0.98819,293 | 0.82618,565 | 0.6816,739 | 0.2601,838 |",0]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |","| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |\n| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |\n| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |\n| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |\n| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",1]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |","| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |\n| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |\n| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",0]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |\n| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |","| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |\n| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |\n| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |\n| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |\n| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 |",1]
["| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |\n| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |","| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",0]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| defense | 0.7482 | 0.5309 | 0.9592 | 0.7936 |\n| eiﬀel | 0.8872 | 0.8002 | 0.9260 | 0.8643 |","| invalides | 0.9852 | 0.9378 | 0.9884 | 0.9473 |\n| --- | --- | --- | --- | --- |\n| louvre | 0.8224 | 0.7279 | 0.8674 | 0.7566 |\n| moulinrouge | 0.7690 | 0.6163 | 0.9882 | 0.9627 |\n| museedorsay | 0.6485 | 0.5262 | 0.8407 | 0.6952 |\n| notredame | 0.9910 | 0.8956 | 0.9860 | 0.8883 |\n| pantheon | 0.9941 | 0.9355 | 0.9982 | 0.9559 |\n| pompidou | 0.8641 | 0.8234 | 0.9008 | 0.8874 |\n| sacrecoeur | 0.9647 | 0.9084 | 0.9780 | 0.9257 |\n| triomphe | 0.9727 | 0.8734 | 0.9907 | 0.9745 |\n| mean | 0.8770 | 0.7796 | 0.9476 | 0.8774 |",1]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| defense | 0.7482 | 0.5309 | 0.9592 | 0.7936 |\n| eiﬀel | 0.8872 | 0.8002 | 0.9260 | 0.8643 |","| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |\n| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |\n| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |\n| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |\n| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |\n| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |\n| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |\n| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |\n| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |\n| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |\n| radcliﬀecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |\n| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 |",0]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| defense | 0.7482 | 0.5309 | 0.9592 | 0.7936 |\n| eiﬀel | 0.8872 | 0.8002 | 0.9260 | 0.8643 |\n| invalides | 0.9852 | 0.9378 | 0.9884 | 0.9473 |\n| louvre | 0.8224 | 0.7279 | 0.8674 | 0.7566 |\n| moulinrouge | 0.7690 | 0.6163 | 0.9882 | 0.9627 |\n| museedorsay | 0.6485 | 0.5262 | 0.8407 | 0.6952 |","| notredame | 0.9910 | 0.8956 | 0.9860 | 0.8883 |\n| --- | --- | --- | --- | --- |\n| pantheon | 0.9941 | 0.9355 | 0.9982 | 0.9559 |\n| pompidou | 0.8641 | 0.8234 | 0.9008 | 0.8874 |\n| sacrecoeur | 0.9647 | 0.9084 | 0.9780 | 0.9257 |\n| triomphe | 0.9727 | 0.8734 | 0.9907 | 0.9745 |\n| mean | 0.8770 | 0.7796 | 0.9476 | 0.8774 |",1]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| defense | 0.7482 | 0.5309 | 0.9592 | 0.7936 |\n| eiﬀel | 0.8872 | 0.8002 | 0.9260 | 0.8643 |\n| invalides | 0.9852 | 0.9378 | 0.9884 | 0.9473 |\n| louvre | 0.8224 | 0.7279 | 0.8674 | 0.7566 |\n| moulinrouge | 0.7690 | 0.6163 | 0.9882 | 0.9627 |\n| museedorsay | 0.6485 | 0.5262 | 0.8407 | 0.6952 |","| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |\n| --- | --- | --- | --- | --- |\n| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |\n| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |\n| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |\n| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |\n| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |\n| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |\n| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |\n| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |\n| radcliﬀecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |\n| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 |",0]
["| InitializationMethod | FI | VFRatio | VTSFD | VFS | VXB |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 1335052.363 | 11.0305 | 0.9169 | -1113107.01 | 0.1621 |\n| Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |","| K-Means++ | 1190498.537 | 10.7359 | 0.9148 | -987617.57 | 0.2388 |\n| --- | --- | --- | --- | --- | --- |\n| K-Means++×10 | 1335046.425 | 11.0304 | 0.9148 | -1113101.04 | 0.1621 |\n| MaxMinLinear | 1335357.554 | 11.0332 | 0.9169 | -1113412.13 | 0.1611 |",1]
["| InitializationMethod | FI | VFRatio | VTSFD | VFS | VXB |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 1335052.363 | 11.0305 | 0.9169 | -1113107.01 | 0.1621 |\n| Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |","| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |\n| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |\n| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |\n| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",0]
["| InitializationMethod | FI | VFRatio | VTSFD | VFS | VXB |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 1335052.363 | 11.0305 | 0.9169 | -1113107.01 | 0.1621 |\n| Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |\n| K-Means++ | 1190498.537 | 10.7359 | 0.9148 | -987617.57 | 0.2388 |","| K-Means++×10 | 1335046.425 | 11.0304 | 0.9148 | -1113101.04 | 0.1621 |\n| --- | --- | --- | --- | --- | --- |\n| MaxMinLinear | 1335357.554 | 11.0332 | 0.9169 | -1113412.13 | 0.1611 |",1]
["| InitializationMethod | FI | VFRatio | VTSFD | VFS | VXB |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 1335052.363 | 11.0305 | 0.9169 | -1113107.01 | 0.1621 |\n| Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |\n| K-Means++ | 1190498.537 | 10.7359 | 0.9148 | -987617.57 | 0.2388 |","| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |\n| --- | --- | --- | --- | --- | --- |\n| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |\n| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",0]
["|  | WORD2VEC | GLOVE |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| capital-common-countries | 82.01 | 83.60 | 95.06 | 95.96 |\n| capital-world | 78.38 | 80.08 | 91.89 | 92.31 |\n| city-in-state | 69.56 | 69.88 | 69.56 | 70.45 |","| currency | 32.43 | 32.92 | 21.59 | 21.36 |\n| --- | --- | --- | --- | --- |\n| family | 84.98 | 84.59 | 95.84 | 95.65 |\n| gram1-adjective-to-adverb | 28.02 | 27.72 | 40.42 | 39.21 |\n| gram2-opposite | 40.14 | 40.51 | 31.65 | 30.91 |\n| gram3-comparative | 89.19 | 89.26 | 86.93 | 87.09 |\n| gram4-superlative | 82.71 | 83.33 | 90.46 | 90.59 |\n| gram5-present-participle | 79.36 | 79.64 | 82.95 | 82.76 |\n| gram6-nationality-adjective | 90.24 | 90.36 | 90.24 | 90.24 |\n| gram7-past-tense | 66.03 | 66.53 | 63.91 | 64.87 |\n| gram8-plural | 91.07 | 90.61 | 95.27 | 95.36 |\n| gram9-plural-verbs | 68.74 | 67.58 | 67.24 | 68.05 |",1]
["|  | WORD2VEC | GLOVE |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| capital-common-countries | 82.01 | 83.60 | 95.06 | 95.96 |\n| capital-world | 78.38 | 80.08 | 91.89 | 92.31 |\n| city-in-state | 69.56 | 69.88 | 69.56 | 70.45 |","| Group | Name | Nqorig | Nq |\n| --- | --- | --- | --- |\n| 4 | family(genderinﬂections) | 506 | 305 |\n| 5 | gram1-adjective-to-adverb | 992 | 755 |\n| 6 | gram2-opposite | 812 | 305 |\n| 7 | gram3-comparative | 1332 | 1259 |\n| 8 | gram4-superlative | 1122 | 505 |\n| 9 | gram5-present-participle | 1056 | 991 |\n| 11 | gram7-past-tense | 1560 | 1331 |\n| 12 | gram8-plural(nouns) | 1332 | 991 |\n| 13 | gram9-plural-verbs | 870 | 649 |",0]
["|  | WORD2VEC | GLOVE |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| capital-common-countries | 82.01 | 83.60 | 95.06 | 95.96 |","| capital-world | 78.38 | 80.08 | 91.89 | 92.31 |\n| --- | --- | --- | --- | --- |\n| city-in-state | 69.56 | 69.88 | 69.56 | 70.45 |\n| currency | 32.43 | 32.92 | 21.59 | 21.36 |\n| family | 84.98 | 84.59 | 95.84 | 95.65 |\n| gram1-adjective-to-adverb | 28.02 | 27.72 | 40.42 | 39.21 |\n| gram2-opposite | 40.14 | 40.51 | 31.65 | 30.91 |\n| gram3-comparative | 89.19 | 89.26 | 86.93 | 87.09 |\n| gram4-superlative | 82.71 | 83.33 | 90.46 | 90.59 |\n| gram5-present-participle | 79.36 | 79.64 | 82.95 | 82.76 |\n| gram6-nationality-adjective | 90.24 | 90.36 | 90.24 | 90.24 |\n| gram7-past-tense | 66.03 | 66.53 | 63.91 | 64.87 |\n| gram8-plural | 91.07 | 90.61 | 95.27 | 95.36 |\n| gram9-plural-verbs | 68.74 | 67.58 | 67.24 | 68.05 |",1]
["|  | WORD2VEC | GLOVE |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| capital-common-countries | 82.01 | 83.60 | 95.06 | 95.96 |","| 12 | gram8-plural(nouns) | 1332 | 991 |\n| --- | --- | --- | --- |\n| 13 | gram9-plural-verbs | 870 | 649 |",0]
["| struct | stride | dim |\n| --- | --- | --- |\n| 5×5,64 | 2×2 | 2048 |\n| 1024cells | 1 | 1024 |\n| 1024cells | 1 | 1024 |\n| 1024cells | 1 | 1024 |","| - | - | 1024 |\n| --- | --- | --- |\n| 1024×512 | - | 512 |\n| - | - | 512 |\n| - | - | 512 |\n|  |  |  |",1]
["| struct | stride | dim |\n| --- | --- | --- |\n| 5×5,64 | 2×2 | 2048 |\n| 1024cells | 1 | 1024 |\n| 1024cells | 1 | 1024 |\n| 1024cells | 1 | 1024 |","|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |\n| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |\n| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |\n| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |\n| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["| struct | stride | dim |\n| --- | --- | --- |\n| 5×5,64 | 2×2 | 2048 |\n| 1024cells | 1 | 1024 |","| 1024cells | 1 | 1024 |\n| --- | --- | --- |\n| 1024cells | 1 | 1024 |\n| - | - | 1024 |\n| 1024×512 | - | 512 |\n| - | - | 512 |\n| - | - | 512 |\n|  |  |  |",1]
["| struct | stride | dim |\n| --- | --- | --- |\n| 5×5,64 | 2×2 | 2048 |\n| 1024cells | 1 | 1024 |","| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["|  | ar-en | fr-en |\n| --- | --- | --- |\n| Forspeedtesting |  |  |","| Setname<br>#sentences<br>#words<br>Avgwords/sent | Subsetoftrainingdata<br>800k200k<br>5.8m5.9m<br>7.329.7 |  |\n| --- | --- | --- |\n| Formodelscoretesting |  |  |\n| Setname<br>#sentences<br>#words<br>Avgwords/sent | OpenSubtitles<br>2000<br>14,620<br>7.3 | newstest2011<br>3003<br>86,162<br>28.7 |",1]
["|  | ar-en | fr-en |\n| --- | --- | --- |\n| Forspeedtesting |  |  |","| Channel | Type | Year(s) | h | #Words |\n| --- | --- | --- | --- | --- |\n| Trainingset |  |  |  |  |\n| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |\n| total |  |  | 146.28 | 1209K |\n| Developmentset |  |  |  |  |\n| ARD | TV | 2000–01 | 8.93 | 84K |\n| Testset |  |  |  |  |\n| DW | Radio | 2000–01 | 6.33 | 50K |",0]
["|  | ar-en | fr-en |\n| --- | --- | --- |\n| Forspeedtesting |  |  |\n| Setname<br>#sentences<br>#words<br>Avgwords/sent | Subsetoftrainingdata<br>800k200k<br>5.8m5.9m<br>7.329.7 |  |","| Formodelscoretesting |  |  |\n| --- | --- | --- |\n| Setname<br>#sentences<br>#words<br>Avgwords/sent | OpenSubtitles<br>2000<br>14,620<br>7.3 | newstest2011<br>3003<br>86,162<br>28.7 |",1]
["|  | ar-en | fr-en |\n| --- | --- | --- |\n| Forspeedtesting |  |  |\n| Setname<br>#sentences<br>#words<br>Avgwords/sent | Subsetoftrainingdata<br>800k200k<br>5.8m5.9m<br>7.329.7 |  |","| DLF<br>SWR2<br>SWR2Info<br>WDR2<br>NDR4 | Radio<br>Radio<br>Radio<br>Radio<br>Radio | 2000–01<br>2000<br>2000<br>2000<br>2000 | 67.81<br>38.42<br>1.88<br>26.75<br>11.41 | 535K<br>333K<br>18K<br>224K<br>98K |\n| --- | --- | --- | --- | --- |\n| total |  |  | 146.28 | 1209K |\n| Developmentset |  |  |  |  |\n| ARD | TV | 2000–01 | 8.93 | 84K |\n| Testset |  |  |  |  |\n| DW | Radio | 2000–01 | 6.33 | 50K |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.89 | 0.122 | 0.878 | 0.11 | 0.885 |\n| NB | 0.537 | 0.18 | 0.82 | 0.463 | 0.654 |\n| SL | 0.884 | 0.11 | 0.89 | 0.116 | 0.887 |\n| MLP | 0.887 | 0.106 | 0.894 | 0.113 | 0.89 |","| PART | 0.893 | 0.122 | 0.878 | 0.107 | 0.887 |\n| --- | --- | --- | --- | --- | --- |\n| RF | 0.911 | 0.069 | 0.931 | 0.089 | 0.919 |\n| J48 | 0.869 | 0.094 | 0.906 | 0.131 | 0.885 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.89 | 0.122 | 0.878 | 0.11 | 0.885 |\n| NB | 0.537 | 0.18 | 0.82 | 0.463 | 0.654 |\n| SL | 0.884 | 0.11 | 0.89 | 0.116 | 0.887 |\n| MLP | 0.887 | 0.106 | 0.894 | 0.113 | 0.89 |","| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.909 | 0.109 | 0.891 | 0.091 | 0.9 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.899 | 0.102 | 0.898 | 0.101 | 0.899 |\n| MLP | 0.924 | 0.098 | 0.902 | 0.076 | 0.914 |\n| PART | 0.896 | 0.109 | 0.891 | 0.104 | 0.894 |\n| RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.89 | 0.122 | 0.878 | 0.11 | 0.885 |","| NB | 0.537 | 0.18 | 0.82 | 0.463 | 0.654 |\n| --- | --- | --- | --- | --- | --- |\n| SL | 0.884 | 0.11 | 0.89 | 0.116 | 0.887 |\n| MLP | 0.887 | 0.106 | 0.894 | 0.113 | 0.89 |\n| PART | 0.893 | 0.122 | 0.878 | 0.107 | 0.887 |\n| RF | 0.911 | 0.069 | 0.931 | 0.089 | 0.919 |\n| J48 | 0.869 | 0.094 | 0.906 | 0.131 | 0.885 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.89 | 0.122 | 0.878 | 0.11 | 0.885 |","| RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |\n| --- | --- | --- | --- | --- | --- |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |","| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.7330 | 4.6000 | 24.92 | 0.7429 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |\n| SRResNet | 24.31 | 0.7328 | 3.3500 | 24.77 | 0.7458 | 3.0833 | 25.04 | 0.7543 |\n| SRGAN | 24.03 | 0.7198 | 3.8333 | 24.37 | 0.7297 | 3.9444 | 24.71 | 0.7413 |\n| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |\n| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 |",1]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |","|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.7330 | 4.6000 | 24.92 | 0.7429 |\n| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |","| SRResNet | 24.31 | 0.7328 | 3.3500 | 24.77 | 0.7458 | 3.0833 | 25.04 | 0.7543 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRGAN | 24.03 | 0.7198 | 3.8333 | 24.37 | 0.7297 | 3.9444 | 24.71 | 0.7413 |\n| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |\n| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 |",1]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.7330 | 4.6000 | 24.92 | 0.7429 |\n| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |","| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["| Ω1 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 2<br>2<br>4<br>3<br>12 | 2<br>2<br>5<br>6<br>18 | 5<br>5<br>10<br>13<br>21 | 8<br>11<br>16<br>23<br>23 | 8<br>12<br>19<br>24<br>24 | 9<br>13<br>21<br>23<br>24 |\n| Ω2 |  |  |  |  |  |  |","| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 7<br>7<br>9<br>8<br>12 | 7<br>7<br>13<br>10<br>19 | 7<br>8<br>18<br>13<br>23 | 10<br>11<br>21<br>18<br>25 | 11<br>12<br>22<br>20<br>27 | 12<br>12<br>25<br>21<br>31 |",1]
["| Ω1 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 2<br>2<br>4<br>3<br>12 | 2<br>2<br>5<br>6<br>18 | 5<br>5<br>10<br>13<br>21 | 8<br>11<br>16<br>23<br>23 | 8<br>12<br>19<br>24<br>24 | 9<br>13<br>21<br>23<br>24 |\n| Ω2 |  |  |  |  |  |  |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Ω1 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 2<br>2<br>4<br>3<br>12 | 2<br>2<br>5<br>6<br>18 | 5<br>5<br>10<br>13<br>21 | 8<br>11<br>16<br>23<br>23 | 8<br>12<br>19<br>24<br>24 | 9<br>13<br>21<br>23<br>24 |\n| Ω2 |  |  |  |  |  |  |","| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 7<br>7<br>9<br>8<br>12 | 7<br>7<br>13<br>10<br>19 | 7<br>8<br>18<br>13<br>23 | 10<br>11<br>21<br>18<br>25 | 11<br>12<br>22<br>20<br>27 | 12<br>12<br>25<br>21<br>31 |",1]
["| Ω1 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 2<br>2<br>4<br>3<br>12 | 2<br>2<br>5<br>6<br>18 | 5<br>5<br>10<br>13<br>21 | 8<br>11<br>16<br>23<br>23 | 8<br>12<br>19<br>24<br>24 | 9<br>13<br>21<br>23<br>24 |\n| Ω2 |  |  |  |  |  |  |","| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Nr | Dataset | req1:domain | req2:heterog | req3:size | req4:dump |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AllenBrainAtlas | no | no | no | yes |\n| 2 | AirportData | yes | no | yes | no |\n| 3 | BAMS | no | no | no | yes |\n| 4 | BBCJohnPeelsess | yes | yes | yes | yes |\n| 5 | BBOP | no | yes | no | yes |\n| 6 | BTCDatasets | +/- | yes | yes | yes |\n| 7 | Bio2RDF | no | yes | yes | yes |\n| 8 | Bitzi | yes | no | yes | no |\n| 9 | Data-govWiki | yes | yes | yes | yes |\n| 10 | DBpedia | yes | no | yes | yes |\n| 11 | EntrezGene | no | yes | no | no |\n| 12 | Freebase | yes | no | yes | no |\n| 13 | GeoSpeciesKB | no | no | yes | yes |\n| 14 | GOannotations | no | yes | no | no |\n| 15 | GovTrack.us | yes | yes | yes | yes |\n| 16 | Jamendo | yes | yes | yes | yes |\n| 17 | LinkedCT | no | yes | yes | yes |\n| 18 | LinkedMDB | yes | no | yes | yes |\n| 19 | LinkedSensorData | yes | no | yes | yes |\n| 20 | Magnatune | yes | yes | yes | yes |\n| 21 | MeSHheadings | no | yes | yes | yes |\n| 22 | MusicBrainz | yes | yes | N/A | no |\n| 23 | OpenCyc | no | no | yes | no |\n| 24 | RKBExplorerData | yes | yes | yes | no |\n| 25 | STWThesaurusforEconomics | no | no | no | yes |\n| 26 | SwetoDblp | yes | no | no | yes |\n| 27 | TaxonConceptKB | no | no | no | yes |\n| 28 | TelegraphisLOD | yes | yes | no | yes |\n| 29 | TCMGeneDIT | no | no | no | yes |\n| 30 | t4gm.info | yes | no | no | yes |\n| 31 | UniProt | no | yes | yes | yes |\n| 32 | U.S.Census | yes | no | yes | no |","| 33 | U.S.SEC | yes | no | yes | yes |\n| --- | --- | --- | --- | --- | --- |\n| 34 | YAGO | yes | no | yes | yes |",1]
["| Nr | Dataset | req1:domain | req2:heterog | req3:size | req4:dump |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AllenBrainAtlas | no | no | no | yes |\n| 2 | AirportData | yes | no | yes | no |\n| 3 | BAMS | no | no | no | yes |\n| 4 | BBCJohnPeelsess | yes | yes | yes | yes |\n| 5 | BBOP | no | yes | no | yes |\n| 6 | BTCDatasets | +/- | yes | yes | yes |\n| 7 | Bio2RDF | no | yes | yes | yes |\n| 8 | Bitzi | yes | no | yes | no |\n| 9 | Data-govWiki | yes | yes | yes | yes |\n| 10 | DBpedia | yes | no | yes | yes |\n| 11 | EntrezGene | no | yes | no | no |\n| 12 | Freebase | yes | no | yes | no |\n| 13 | GeoSpeciesKB | no | no | yes | yes |\n| 14 | GOannotations | no | yes | no | no |\n| 15 | GovTrack.us | yes | yes | yes | yes |\n| 16 | Jamendo | yes | yes | yes | yes |\n| 17 | LinkedCT | no | yes | yes | yes |\n| 18 | LinkedMDB | yes | no | yes | yes |\n| 19 | LinkedSensorData | yes | no | yes | yes |\n| 20 | Magnatune | yes | yes | yes | yes |\n| 21 | MeSHheadings | no | yes | yes | yes |\n| 22 | MusicBrainz | yes | yes | N/A | no |\n| 23 | OpenCyc | no | no | yes | no |\n| 24 | RKBExplorerData | yes | yes | yes | no |\n| 25 | STWThesaurusforEconomics | no | no | no | yes |\n| 26 | SwetoDblp | yes | no | no | yes |\n| 27 | TaxonConceptKB | no | no | no | yes |\n| 28 | TelegraphisLOD | yes | yes | no | yes |\n| 29 | TCMGeneDIT | no | no | no | yes |\n| 30 | t4gm.info | yes | no | no | yes |\n| 31 | UniProt | no | yes | yes | yes |\n| 32 | U.S.Census | yes | no | yes | no |","| #Dataset | #Triples | #(S∩O) | #P |\n| --- | --- | --- | --- |\n| WatDiv100M | 108997714 | 10250947 | 86 |\n| WatDiv200M | 219783842 | 20296483 | 86 |\n| WatDiv300M | 329827477 | 30221812 | 86 |\n| WatDiv400M | 439433765 | 40040420 | 86 |\n| WatDiv500M | 549246141 | 49771433 | 86 |\n| Yago | 200737655 | 38734252 | 46 |\n| DBpedia | 120978080 | 42966066 | 4282 |",0]
["| Nr | Dataset | req1:domain | req2:heterog | req3:size | req4:dump |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AllenBrainAtlas | no | no | no | yes |","| 2 | AirportData | yes | no | yes | no |\n| --- | --- | --- | --- | --- | --- |\n| 3 | BAMS | no | no | no | yes |\n| 4 | BBCJohnPeelsess | yes | yes | yes | yes |\n| 5 | BBOP | no | yes | no | yes |\n| 6 | BTCDatasets | +/- | yes | yes | yes |\n| 7 | Bio2RDF | no | yes | yes | yes |\n| 8 | Bitzi | yes | no | yes | no |\n| 9 | Data-govWiki | yes | yes | yes | yes |\n| 10 | DBpedia | yes | no | yes | yes |\n| 11 | EntrezGene | no | yes | no | no |\n| 12 | Freebase | yes | no | yes | no |\n| 13 | GeoSpeciesKB | no | no | yes | yes |\n| 14 | GOannotations | no | yes | no | no |\n| 15 | GovTrack.us | yes | yes | yes | yes |\n| 16 | Jamendo | yes | yes | yes | yes |\n| 17 | LinkedCT | no | yes | yes | yes |\n| 18 | LinkedMDB | yes | no | yes | yes |\n| 19 | LinkedSensorData | yes | no | yes | yes |\n| 20 | Magnatune | yes | yes | yes | yes |\n| 21 | MeSHheadings | no | yes | yes | yes |\n| 22 | MusicBrainz | yes | yes | N/A | no |\n| 23 | OpenCyc | no | no | yes | no |\n| 24 | RKBExplorerData | yes | yes | yes | no |\n| 25 | STWThesaurusforEconomics | no | no | no | yes |\n| 26 | SwetoDblp | yes | no | no | yes |\n| 27 | TaxonConceptKB | no | no | no | yes |\n| 28 | TelegraphisLOD | yes | yes | no | yes |\n| 29 | TCMGeneDIT | no | no | no | yes |\n| 30 | t4gm.info | yes | no | no | yes |\n| 31 | UniProt | no | yes | yes | yes |\n| 32 | U.S.Census | yes | no | yes | no |\n| 33 | U.S.SEC | yes | no | yes | yes |\n| 34 | YAGO | yes | no | yes | yes |",1]
["| Nr | Dataset | req1:domain | req2:heterog | req3:size | req4:dump |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AllenBrainAtlas | no | no | no | yes |","| Yago | 200737655 | 38734252 | 46 |\n| --- | --- | --- | --- |\n| DBpedia | 120978080 | 42966066 | 4282 |",0]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| 2Groups | 48.50 | 45.28 |\n| 3Groups | 55.27 | 48.81 |\n| 6Groups | 60.11 | 55.39 |","| 12Groups | 64.37 | 57.49 |\n| --- | --- | --- |\n| 20Groups | 55.65 | 51.50 |",1]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| 2Groups | 48.50 | 45.28 |\n| 3Groups | 55.27 | 48.81 |\n| 6Groups | 60.11 | 55.39 |","| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| Gray-scaleData | 28.43 | 04.28 |\n| RGBData | 39.20 | 35.07 |\n| MSData | 55.12 | 50.91 |\n| OFDS | 12.66 | 12.66 |\n| LoFT | 60.30 | 40.50 |\n| Sum-rule | 50.17 | 45.25 |\n| VarianceRatio | 48.26 | 44.56 |\n| HFT | 69.78 | 60.30 |\n| Ours(HLT) | 64.37 | 57.49 |",0]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| 2Groups | 48.50 | 45.28 |","| 3Groups | 55.27 | 48.81 |\n| --- | --- | --- |\n| 6Groups | 60.11 | 55.39 |\n| 12Groups | 64.37 | 57.49 |\n| 20Groups | 55.65 | 51.50 |",1]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| 2Groups | 48.50 | 45.28 |","| Sum-rule | 50.17 | 45.25 |\n| --- | --- | --- |\n| VarianceRatio | 48.26 | 44.56 |\n| HFT | 69.78 | 60.30 |\n| Ours(HLT) | 64.37 | 57.49 |",0]
["| video-AP |\n| --- |\n| RGBw/o |\n| Floww/o |\n| Fusew/o |\n| RGBwithTUN |","| FlowwithTUN |\n| --- |\n| FusewithTUN |",1]
["| video-AP |\n| --- |\n| RGBw/o |\n| Floww/o |\n| Fusew/o |\n| RGBwithTUN |","| Input32×32RGBimage |\n| --- |\n| 5×5conv.64RELU<br>2×2max-poolingstride2 |\n| 5×5conv.128RELU<br>2×2max-poolingstride2 |\n| 3×3conv.256RELU<br>2×2avg-poolingstride2 |\n| 4×4conv.512Sigmoid(fullyconnected)<br>0.5Dropout |\n| 1×1conv.10(fullyconnected) |\n| 10-waysoftmax |",0]
["| video-AP |\n| --- |\n| RGBw/o |\n| Floww/o |\n| Fusew/o |\n| RGBwithTUN |","| FlowwithTUN |\n| --- |\n| FusewithTUN |",1]
["| video-AP |\n| --- |\n| RGBw/o |\n| Floww/o |\n| Fusew/o |\n| RGBwithTUN |","| 3×3conv.256RELU<br>2×2avg-poolingstride2 |\n| --- |\n| 4×4conv.512Sigmoid(fullyconnected)<br>0.5Dropout |\n| 1×1conv.10(fullyconnected) |\n| 10-waysoftmax |",0]
["| Reference | Elements | Nmin | niter,tot | Remark |\n| --- | --- | --- | --- | --- |\n|  | 8ﬁrst-order | 6 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 27 | - |\n|  | 8ﬁrst-order | 6 | 47 | - |\n|  | 8ﬁrst-order | 3 | 30 | ApplicationofastandardNewtonscheme. |\n|  | 8ﬁrst-order | 2 | 11 | ApplicationofanacceleratedNewtonscheme. |\n|  | 8ﬁrst-order | 60 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 16 | - |\n|  | 8ﬁrst-order | 1 | 4 | Non-objectivevariantproposedin. |\n| CJ | 8ﬁrst-order | 7 | 59 | Objectivevariantproposedin. |\n| CJ | 8third-order | 7 | 58 | Objectivevariantproposedin. |\n| SV | 8ﬁrst-order | 7 | 52 | Interpretationoftheformulationof. |\n| SV | 8third-order | 7 | 58 | Interpretationoftheformulationof. |","| SK-TAN | 8third-order | 1 | 8 | Kirchhoﬀtypebeamelementformulation. |\n| --- | --- | --- | --- | --- |\n| WK-TAN | 8third-order | 1 | 8 | Kirchhoﬀtypebeamelementformulation. |\n| SK-ROT | 8third-order | 1 | 24 | Kirchhoﬀtypebeamelementformulation. |\n| WK-ROT | 8third-order | 2 | 30 | Kirchhoﬀtypebeamelementformulation. |",1]
["| Reference | Elements | Nmin | niter,tot | Remark |\n| --- | --- | --- | --- | --- |\n|  | 8ﬁrst-order | 6 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 27 | - |\n|  | 8ﬁrst-order | 6 | 47 | - |\n|  | 8ﬁrst-order | 3 | 30 | ApplicationofastandardNewtonscheme. |\n|  | 8ﬁrst-order | 2 | 11 | ApplicationofanacceleratedNewtonscheme. |\n|  | 8ﬁrst-order | 60 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 16 | - |\n|  | 8ﬁrst-order | 1 | 4 | Non-objectivevariantproposedin. |\n| CJ | 8ﬁrst-order | 7 | 59 | Objectivevariantproposedin. |\n| CJ | 8third-order | 7 | 58 | Objectivevariantproposedin. |\n| SV | 8ﬁrst-order | 7 | 52 | Interpretationoftheformulationof. |\n| SV | 8third-order | 7 | 58 | Interpretationoftheformulationof. |","| method | rank1 | rank5 | rank10 | rank20 | rank30 |\n| --- | --- | --- | --- | --- | --- |\n| KernelX-CRC | 68.8 | 91.2 | 95.9 | 98.4 | 99.0 |\n| FFN | 66.6 | 86.8 | 92.8 | 96.9 | - |\n| LSSCDL | 60.5 | - | 88.6 | 93.6 | - |\n| SemanticRepresentation | 44.9 | 71.7 | 77.5 | 86.7 | - |\n| CorrespondenceStructureLearning | 44.4 | 71.6 | 82.2 | 89.8 | 93.3 |\n| SCNCD | 41.6 | 68.9 | 79.4 | 87.8 | 95.4 |\n| Proposed+NullSpace | 70.7 | 90.7 | 94.8 | 97.8 | 99.2 |",0]
["| Reference | Elements | Nmin | niter,tot | Remark |\n| --- | --- | --- | --- | --- |\n|  | 8ﬁrst-order | 6 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 27 | - |\n|  | 8ﬁrst-order | 6 | 47 | - |\n|  | 8ﬁrst-order | 3 | 30 | ApplicationofastandardNewtonscheme. |\n|  | 8ﬁrst-order | 2 | 11 | ApplicationofanacceleratedNewtonscheme. |\n|  | 8ﬁrst-order | 60 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 16 | - |\n|  | 8ﬁrst-order | 1 | 4 | Non-objectivevariantproposedin. |\n| CJ | 8ﬁrst-order | 7 | 59 | Objectivevariantproposedin. |\n| CJ | 8third-order | 7 | 58 | Objectivevariantproposedin. |","| SV | 8ﬁrst-order | 7 | 52 | Interpretationoftheformulationof. |\n| --- | --- | --- | --- | --- |\n| SV | 8third-order | 7 | 58 | Interpretationoftheformulationof. |\n| SK-TAN | 8third-order | 1 | 8 | Kirchhoﬀtypebeamelementformulation. |\n| WK-TAN | 8third-order | 1 | 8 | Kirchhoﬀtypebeamelementformulation. |\n| SK-ROT | 8third-order | 1 | 24 | Kirchhoﬀtypebeamelementformulation. |\n| WK-ROT | 8third-order | 2 | 30 | Kirchhoﬀtypebeamelementformulation. |",1]
["| Reference | Elements | Nmin | niter,tot | Remark |\n| --- | --- | --- | --- | --- |\n|  | 8ﬁrst-order | 6 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 27 | - |\n|  | 8ﬁrst-order | 6 | 47 | - |\n|  | 8ﬁrst-order | 3 | 30 | ApplicationofastandardNewtonscheme. |\n|  | 8ﬁrst-order | 2 | 11 | ApplicationofanacceleratedNewtonscheme. |\n|  | 8ﬁrst-order | 60 | - | Numberofiterationshasnotbeenreported. |\n|  | 8ﬁrst-order | 3 | 16 | - |\n|  | 8ﬁrst-order | 1 | 4 | Non-objectivevariantproposedin. |\n| CJ | 8ﬁrst-order | 7 | 59 | Objectivevariantproposedin. |\n| CJ | 8third-order | 7 | 58 | Objectivevariantproposedin. |","| LSSCDL | 60.5 | - | 88.6 | 93.6 | - |\n| --- | --- | --- | --- | --- | --- |\n| SemanticRepresentation | 44.9 | 71.7 | 77.5 | 86.7 | - |\n| CorrespondenceStructureLearning | 44.4 | 71.6 | 82.2 | 89.8 | 93.3 |\n| SCNCD | 41.6 | 68.9 | 79.4 | 87.8 | 95.4 |\n| Proposed+NullSpace | 70.7 | 90.7 | 94.8 | 97.8 | 99.2 |",0]
["| numberoftrials |  |  |  |\n| --- | --- | --- | --- |\n| task | trajectorypretraining | end-to-endtraining | total |\n| coathanger | 120 | 36 | 156 |\n| shapecube | 90 | 81 | 171 |","| toyhammer | 150 | 90 | 240 |\n| --- | --- | --- | --- |\n| bottlecap | 180 | 108 | 288 |",1]
["| numberoftrials |  |  |  |\n| --- | --- | --- | --- |\n| task | trajectorypretraining | end-to-endtraining | total |\n| coathanger | 120 | 36 | 156 |\n| shapecube | 90 | 81 | 171 |","| Name | #sequences | Length(frames) | Approx.durationat25fps |\n| --- | --- | --- | --- |\n| Greenballtraining | 5 | 12,764 | 8.5min |\n| Greenballtesting | 29 | 34,791 | 23min |\n| Stopsigntraining | 20 | 15,342 | 10min |\n| Stopsigntesting | 30 | 22,240 | 15min |\n| Facetraining | 10 | 29,444 | 19.6min |\n| Facetesting | 25 | 34,199 | 23min |\n| Totaltraining | 35 | 57,550 | 38min |\n| Totaltesting | 84 | 91,230 | 60min |",0]
["| numberoftrials |  |  |  |\n| --- | --- | --- | --- |\n| task | trajectorypretraining | end-to-endtraining | total |","| coathanger | 120 | 36 | 156 |\n| --- | --- | --- | --- |\n| shapecube | 90 | 81 | 171 |\n| toyhammer | 150 | 90 | 240 |\n| bottlecap | 180 | 108 | 288 |",1]
["| numberoftrials |  |  |  |\n| --- | --- | --- | --- |\n| task | trajectorypretraining | end-to-endtraining | total |","| Greenballtesting | 29 | 34,791 | 23min |\n| --- | --- | --- | --- |\n| Stopsigntraining | 20 | 15,342 | 10min |\n| Stopsigntesting | 30 | 22,240 | 15min |\n| Facetraining | 10 | 29,444 | 19.6min |\n| Facetesting | 25 | 34,199 | 23min |\n| Totaltraining | 35 | 57,550 | 38min |\n| Totaltesting | 84 | 91,230 | 60min |",0]
["|  | Sequentialcase<br>Kappap-value |\n| --- | --- |\n| Owngift... | ...vs.receivedgift |\n| >£0<br>>£1<br>>£2 | .0223.3183<br>.0223.3183<br>.0134.3884 |\n|  | ...vs.other’sreceivedgift |\n| >£0<br>>£1<br>>£2 | .0045.4624<br>.0402.1975<br>.0134.3884 |","|  | ...vs.other’sgift |\n| --- | --- |\n|  | .0446.0509 |",1]
["|  | Sequentialcase<br>Kappap-value |\n| --- | --- |\n| Owngift... | ...vs.receivedgift |\n| >£0<br>>£1<br>>£2 | .0223.3183<br>.0223.3183<br>.0134.3884 |\n|  | ...vs.other’sreceivedgift |\n| >£0<br>>£1<br>>£2 | .0045.4624<br>.0402.1975<br>.0134.3884 |","|  | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |\n| --- | --- | --- | --- | --- |\n| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |\n| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |\n| Pruning | – | – | 0.57 | 0.56 |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |\n| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",0]
["|  | Sequentialcase<br>Kappap-value |\n| --- | --- |\n| Owngift... | ...vs.receivedgift |\n| >£0<br>>£1<br>>£2 | .0223.3183<br>.0223.3183<br>.0134.3884 |\n|  | ...vs.other’sreceivedgift |","| >£0<br>>£1<br>>£2 | .0045.4624<br>.0402.1975<br>.0134.3884 |\n| --- | --- |\n|  | ...vs.other’sgift |\n|  | .0446.0509 |",1]
["|  | Sequentialcase<br>Kappap-value |\n| --- | --- |\n| Owngift... | ...vs.receivedgift |\n| >£0<br>>£1<br>>£2 | .0223.3183<br>.0223.3183<br>.0134.3884 |\n|  | ...vs.other’sreceivedgift |","| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| --- | --- | --- | --- | --- |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",0]
["| Database | Version |\n| --- | --- |\n| MongoDB | 2.4.4 |\n| CouchDB | 1.5.0 |\n| Couchbase | 2.2.0 |\n| MicrosoftSQLServer2012 | 11.0.3153 |","| MySQL | 5.5.31 |\n| --- | --- |\n| PostgreSQL | 9.1 |",1]
["| Database | Version |\n| --- | --- |\n| MongoDB | 2.4.4 |\n| CouchDB | 1.5.0 |\n| Couchbase | 2.2.0 |\n| MicrosoftSQLServer2012 | 11.0.3153 |","| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 127 | 482.90 | 5715.4 |\n| MySQL | 78.3 | 825.8 | 18794.4 |\n| PostgreSQL | 35.5 | 582.6 | 11479.8 |\n| MongoDB | 9 | 133.8 | 1530.9 |\n| CouchDB | 1.19 | 15.57 | 132.7 |\n| Couchbase | 39.37 | 405.57 | 6579.23 |",0]
["| Database | Version |\n| --- | --- |\n| MongoDB | 2.4.4 |\n| CouchDB | 1.5.0 |","| Couchbase | 2.2.0 |\n| --- | --- |\n| MicrosoftSQLServer2012 | 11.0.3153 |\n| MySQL | 5.5.31 |\n| PostgreSQL | 9.1 |",1]
["| Database | Version |\n| --- | --- |\n| MongoDB | 2.4.4 |\n| CouchDB | 1.5.0 |","| PostgreSQL | 35.5 | 582.6 | 11479.8 |\n| --- | --- | --- | --- |\n| MongoDB | 9 | 133.8 | 1530.9 |\n| CouchDB | 1.19 | 15.57 | 132.7 |\n| Couchbase | 39.37 | 405.57 | 6579.23 |",0]
["| Feature |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Correlation | LBP-TOP8,8,8,1,1,1 | LBP8,1 |  |  |  |  |\n| TrainingSet | dev | test | dev | test | dev | test |","| CASIA | 50.23 | 50.25 | 48.97 | 50.64 | 44.97 | 47.05 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Replay-Attack | 47.72 | 48.28 | 60.00 | 61.33 | 57.32 | 57.90 |",1]
["| Feature |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Correlation | LBP-TOP8,8,8,1,1,1 | LBP8,1 |  |  |  |  |\n| TrainingSet | dev | test | dev | test | dev | test |","| Accuracy | Features |\n| --- | --- |\n| 0.823 | 41 |\n| 0.831 | 214 |\n| 0.836 | 72 |\n| 0.838 | 0 |\n| 0.842 | 0 |\n| 0.846 | 137 |",0]
["| Feature |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Correlation | LBP-TOP8,8,8,1,1,1 | LBP8,1 |  |  |  |  |\n| TrainingSet | dev | test | dev | test | dev | test |","| CASIA | 50.23 | 50.25 | 48.97 | 50.64 | 44.97 | 47.05 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Replay-Attack | 47.72 | 48.28 | 60.00 | 61.33 | 57.32 | 57.90 |",1]
["| Feature |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Correlation | LBP-TOP8,8,8,1,1,1 | LBP8,1 |  |  |  |  |\n| TrainingSet | dev | test | dev | test | dev | test |","| 0.838 | 0 |\n| --- | --- |\n| 0.842 | 0 |\n| 0.846 | 137 |",0]
["| Instance | restart<br>policy | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11<br>(sat) | norestart<br>arithmetic<br>geometric | 42,5<br>8<br>5,5 | 102,2<br>109,5<br>118,1 | 148,3<br>142,7<br>141,2 | >1h<br>29<br>29,3 | >1h<br>211,3<br>210,6 | >1h<br>218,3<br>224,8 | 112,4<br>4<br>4 | 41,3<br>4,5<br>4,3 |\n| scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |\n| aim-200-1-6<br>(unsat) | norestart<br>arithmetic<br>geometric | 4,8<br>81,4<br>1,9 | 1,5<br>150,3<br>3,2 | 4,7<br>212,7<br>5,3 | 2,3<br>124,8<br>105,9 | 2,8<br>9,4<br>4,8 | 3,1<br>9,2<br>8,5 | 0,28<br>0,39<br>0,19 | 0,31<br>0,27<br>0,23 |\n| ehi-85-297-0<br>(unsat) | norestart<br>arithmetic<br>geometric | 17,1<br>2<br>2,1 | 90,4<br>102,2<br>94,2 | 7,1<br>2,8<br>2,7 | 11,8<br>12,8<br>11,7 | 12,2<br>12,4<br>12,1 | 12,4<br>12,3<br>12 | 0,16<br>0,15<br>0,15 | 1,9<br>1,18<br>1,2 |","| frb30-15-1<br>(sat) | norestart<br>arithmetic<br>geometric | 3,2<br>15,9<br>10,5 | 30,1<br>149,2<br>42 | 3,6<br>15,1<br>13,2 | 152,6<br>303,9<br>66,4 | 215,1<br>626,1<br>295,6 | 201,5<br>532,5<br>375,6 | 7,1<br>184,3<br>20,5 | 3,8<br>201,2<br>15,6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| langford-4-10<br>(unsat) | norestart<br>arithmetic<br>geometric | 16,2<br>521,1<br>65,9 | 193,7<br>749,7<br>238,2 | 24,6<br>557,2<br>101,2 | 59,1<br>2579<br>183,4 | 74,6<br>904,1<br>289,3 | 79,3<br>1293<br>301,1 | 24,1<br>1011<br>106,7 | 20,8<br>744,9<br>70,3 |\n| cc-12-12-2<br>(unsat) | norestart<br>arithmetic<br>geometric | 17<br>2939<br>50,7 | 27,6<br>1976<br>67,6 | 25,4<br>>1h<br>79,3 | 16,4<br>>1h<br>65 | 115,9<br>>1h<br>523,6 | 98,2<br>>1h<br>555,6 | 17,9<br>2501<br>49,1 | 17,2<br>2589<br>54,3 |\n| ash958GPIA-4<br>(sat) | norestart<br>arithmetic<br>geometric | 10,4<br>13<br>12,8 | 35,6<br>36,2<br>36,8 | 162,2<br>310,2<br>299,2 | 383,7<br>118,3<br>111,4 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | 6,3<br>14<br>11,6 | 6,4<br>10,7<br>1,2 |",1]
["| Instance | restart<br>policy | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11<br>(sat) | norestart<br>arithmetic<br>geometric | 42,5<br>8<br>5,5 | 102,2<br>109,5<br>118,1 | 148,3<br>142,7<br>141,2 | >1h<br>29<br>29,3 | >1h<br>211,3<br>210,6 | >1h<br>218,3<br>224,8 | 112,4<br>4<br>4 | 41,3<br>4,5<br>4,3 |\n| scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |\n| aim-200-1-6<br>(unsat) | norestart<br>arithmetic<br>geometric | 4,8<br>81,4<br>1,9 | 1,5<br>150,3<br>3,2 | 4,7<br>212,7<br>5,3 | 2,3<br>124,8<br>105,9 | 2,8<br>9,4<br>4,8 | 3,1<br>9,2<br>8,5 | 0,28<br>0,39<br>0,19 | 0,31<br>0,27<br>0,23 |\n| ehi-85-297-0<br>(unsat) | norestart<br>arithmetic<br>geometric | 17,1<br>2<br>2,1 | 90,4<br>102,2<br>94,2 | 7,1<br>2,8<br>2,7 | 11,8<br>12,8<br>11,7 | 12,2<br>12,4<br>12,1 | 12,4<br>12,3<br>12 | 0,16<br>0,15<br>0,15 | 1,9<br>1,18<br>1,2 |","| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |\n| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| Instance | restart<br>policy | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11<br>(sat) | norestart<br>arithmetic<br>geometric | 42,5<br>8<br>5,5 | 102,2<br>109,5<br>118,1 | 148,3<br>142,7<br>141,2 | >1h<br>29<br>29,3 | >1h<br>211,3<br>210,6 | >1h<br>218,3<br>224,8 | 112,4<br>4<br>4 | 41,3<br>4,5<br>4,3 |\n| scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |","| aim-200-1-6<br>(unsat) | norestart<br>arithmetic<br>geometric | 4,8<br>81,4<br>1,9 | 1,5<br>150,3<br>3,2 | 4,7<br>212,7<br>5,3 | 2,3<br>124,8<br>105,9 | 2,8<br>9,4<br>4,8 | 3,1<br>9,2<br>8,5 | 0,28<br>0,39<br>0,19 | 0,31<br>0,27<br>0,23 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-297-0<br>(unsat) | norestart<br>arithmetic<br>geometric | 17,1<br>2<br>2,1 | 90,4<br>102,2<br>94,2 | 7,1<br>2,8<br>2,7 | 11,8<br>12,8<br>11,7 | 12,2<br>12,4<br>12,1 | 12,4<br>12,3<br>12 | 0,16<br>0,15<br>0,15 | 1,9<br>1,18<br>1,2 |\n| frb30-15-1<br>(sat) | norestart<br>arithmetic<br>geometric | 3,2<br>15,9<br>10,5 | 30,1<br>149,2<br>42 | 3,6<br>15,1<br>13,2 | 152,6<br>303,9<br>66,4 | 215,1<br>626,1<br>295,6 | 201,5<br>532,5<br>375,6 | 7,1<br>184,3<br>20,5 | 3,8<br>201,2<br>15,6 |\n| langford-4-10<br>(unsat) | norestart<br>arithmetic<br>geometric | 16,2<br>521,1<br>65,9 | 193,7<br>749,7<br>238,2 | 24,6<br>557,2<br>101,2 | 59,1<br>2579<br>183,4 | 74,6<br>904,1<br>289,3 | 79,3<br>1293<br>301,1 | 24,1<br>1011<br>106,7 | 20,8<br>744,9<br>70,3 |\n| cc-12-12-2<br>(unsat) | norestart<br>arithmetic<br>geometric | 17<br>2939<br>50,7 | 27,6<br>1976<br>67,6 | 25,4<br>>1h<br>79,3 | 16,4<br>>1h<br>65 | 115,9<br>>1h<br>523,6 | 98,2<br>>1h<br>555,6 | 17,9<br>2501<br>49,1 | 17,2<br>2589<br>54,3 |\n| ash958GPIA-4<br>(sat) | norestart<br>arithmetic<br>geometric | 10,4<br>13<br>12,8 | 35,6<br>36,2<br>36,8 | 162,2<br>310,2<br>299,2 | 383,7<br>118,3<br>111,4 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | 6,3<br>14<br>11,6 | 6,4<br>10,7<br>1,2 |",1]
["| Instance | restart<br>policy | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| scen11<br>(sat) | norestart<br>arithmetic<br>geometric | 42,5<br>8<br>5,5 | 102,2<br>109,5<br>118,1 | 148,3<br>142,7<br>141,2 | >1h<br>29<br>29,3 | >1h<br>211,3<br>210,6 | >1h<br>218,3<br>224,8 | 112,4<br>4<br>4 | 41,3<br>4,5<br>4,3 |\n| scen11-f7<br>(unsat) | norestart<br>arithmetic<br>geometric | >1h<br>1848<br>133,7 | 109<br>1464<br>189,9 | >1h<br>1991<br>211,2 | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>>1h<br>>1h | >1h<br>3207<br>130,6 | >1h<br>2164<br>137,7 |","| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| Attribute | DomainSize |\n| --- | --- |\n| Age | 76 |\n| Gender | 2 |\n| Education | 14 |\n| Marital | 6 |","| Race | 9 |\n| --- | --- |\n| Work-Class | 10 |\n| Country | 83 |\n| Occupation | 50 |",1]
["| Attribute | DomainSize |\n| --- | --- |\n| Age | 76 |\n| Gender | 2 |\n| Education | 14 |\n| Marital | 6 |","| Portalcategories | Numberofportals |\n| --- | --- |\n| Statistics | 1 |\n| Representations | 2 |\n| PeriphericalOﬃces | 6 |\n| Certiﬁcations | 4 |\n| PropertyRegisterOﬃces | 3 |\n| SocialSecurity | 9 |\n| ForeignRelations | 4 |\n| RelationsAbroad | 6 |\n| Defense | 1 |\n| Justice | 10 |\n| Criminality | 6 |\n| InternalSecurity | 6 |\n| PublicAssistance | 5 |\n| HealthServices | 6 |\n| Education | 3 |\n| Environment | 8 |\n| CulturalGoods | 10 |\n| Employment | 9 |\n| Farms | 3 |\n| IndustrialCompanies | 9 |\n| Transportations | 10 |",0]
["| Attribute | DomainSize |\n| --- | --- |\n| Age | 76 |\n| Gender | 2 |\n| Education | 14 |\n| Marital | 6 |\n| Race | 9 |","| Work-Class | 10 |\n| --- | --- |\n| Country | 83 |\n| Occupation | 50 |",1]
["| Attribute | DomainSize |\n| --- | --- |\n| Age | 76 |\n| Gender | 2 |\n| Education | 14 |\n| Marital | 6 |\n| Race | 9 |","| Employment | 9 |\n| --- | --- |\n| Farms | 3 |\n| IndustrialCompanies | 9 |\n| Transportations | 10 |",0]
["| Dataset | \\|Triples\\| | \\|Predicates\\| | MK-tree | IK-tree | RDF-3X |\n| --- | --- | --- | --- | --- | --- |\n| Jamendo | 1,049,639 | 28 | 0.74 | 0.74 | 37.73 |\n| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |","| Geonames | 112,235,492 | 26 | 152.20 | 156.01 | 3,584.80 |\n| --- | --- | --- | --- | --- | --- |\n| DBpedia | 232,542,405 | 39,672 | 931.44 | 788.19 | 9,757.58 |",1]
["| Dataset | \\|Triples\\| | \\|Predicates\\| | MK-tree | IK-tree | RDF-3X |\n| --- | --- | --- | --- | --- | --- |\n| Jamendo | 1,049,639 | 28 | 0.74 | 0.74 | 37.73 |\n| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |","| #Dataset | #Triples | #(S∩O) | #P |\n| --- | --- | --- | --- |\n| WatDiv100M | 108997714 | 10250947 | 86 |\n| WatDiv200M | 219783842 | 20296483 | 86 |\n| WatDiv300M | 329827477 | 30221812 | 86 |\n| WatDiv400M | 439433765 | 40040420 | 86 |\n| WatDiv500M | 549246141 | 49771433 | 86 |\n| Yago | 200737655 | 38734252 | 46 |\n| DBpedia | 120978080 | 42966066 | 4282 |",0]
["| Dataset | \\|Triples\\| | \\|Predicates\\| | MK-tree | IK-tree | RDF-3X |\n| --- | --- | --- | --- | --- | --- |\n| Jamendo | 1,049,639 | 28 | 0.74 | 0.74 | 37.73 |\n| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |","| Geonames | 112,235,492 | 26 | 152.20 | 156.01 | 3,584.80 |\n| --- | --- | --- | --- | --- | --- |\n| DBpedia | 232,542,405 | 39,672 | 931.44 | 788.19 | 9,757.58 |",1]
["| Dataset | \\|Triples\\| | \\|Predicates\\| | MK-tree | IK-tree | RDF-3X |\n| --- | --- | --- | --- | --- | --- |\n| Jamendo | 1,049,639 | 28 | 0.74 | 0.74 | 37.73 |\n| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |","| Yago | 200737655 | 38734252 | 46 |\n| --- | --- | --- | --- |\n| DBpedia | 120978080 | 42966066 | 4282 |",0]
["| k | pk | n/k<br>pµ=Onk | 3<br>λ=O(nµ)nn |\n| --- | --- | --- | --- |\n| 2 | 4 | n<br>2 | 3n<br>O(n2) |\n| 3 | 7 | O(7) | O(n7)=O(1.913) |\n| 4 | 13 | O(13) | O(n13)=O(1.8989) |\n| 5 | 23 | O(23) | O(n23)=O(1.8722) |","| 6 | 41 | O(41) | O(n41)=O(1.8570) |\n| --- | --- | --- | --- |\n| 7 | 70 | O(70) | O(n70)=O(1.8348) |\n| 8 | 120 | O(120) | O(n120)=O(1.8193) |\n| 9 | 201 | O(201) | O(n201)=O(1.8027) |\n| 10 | 346 | O(346) | O(n346)=O(1.7944) |\n| 11 | 591 | O(591) | O(n591)=O(1.7864) |",1]
["| k | pk | n/k<br>pµ=Onk | 3<br>λ=O(nµ)nn |\n| --- | --- | --- | --- |\n| 2 | 4 | n<br>2 | 3n<br>O(n2) |\n| 3 | 7 | O(7) | O(n7)=O(1.913) |\n| 4 | 13 | O(13) | O(n13)=O(1.8989) |\n| 5 | 23 | O(23) | O(n23)=O(1.8722) |","| \\|Λ\\|Algorithm | Objectivevaluesfordiﬀerentp |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| p=0.9 | p=0.6 | p=0.5 | p=0.3 | p=0.1 |  |\n| 10DCG<br>10Greedy | 7.1<br>6.8 | 5.2<br>5.1 | 4.7<br>4.6 | 3.4<br>3.4 | 2.6<br>2.6 |\n| 50DCG<br>50Greedy | 7.4<br>6.82 | 5.84<br>5.66 | 5.18<br>5.06 | 3.98<br>3.98 | 2.68<br>2.68 |\n| 100DCG<br>100Greedy | 7.38<br>6.69 | 5.61<br>5.52 | 5.04<br>5.04 | 3.96<br>3.96 | 2.76<br>2.76 |",0]
["| k | pk | n/k<br>pµ=Onk | 3<br>λ=O(nµ)nn |\n| --- | --- | --- | --- |\n| 2 | 4 | n<br>2 | 3n<br>O(n2) |\n| 3 | 7 | O(7) | O(n7)=O(1.913) |\n| 4 | 13 | O(13) | O(n13)=O(1.8989) |\n| 5 | 23 | O(23) | O(n23)=O(1.8722) |","| 6 | 41 | O(41) | O(n41)=O(1.8570) |\n| --- | --- | --- | --- |\n| 7 | 70 | O(70) | O(n70)=O(1.8348) |\n| 8 | 120 | O(120) | O(n120)=O(1.8193) |\n| 9 | 201 | O(201) | O(n201)=O(1.8027) |\n| 10 | 346 | O(346) | O(n346)=O(1.7944) |\n| 11 | 591 | O(591) | O(n591)=O(1.7864) |",1]
["| k | pk | n/k<br>pµ=Onk | 3<br>λ=O(nµ)nn |\n| --- | --- | --- | --- |\n| 2 | 4 | n<br>2 | 3n<br>O(n2) |\n| 3 | 7 | O(7) | O(n7)=O(1.913) |\n| 4 | 13 | O(13) | O(n13)=O(1.8989) |\n| 5 | 23 | O(23) | O(n23)=O(1.8722) |","| 10DCG<br>10Greedy | 7.1<br>6.8 | 5.2<br>5.1 | 4.7<br>4.6 | 3.4<br>3.4 | 2.6<br>2.6 |\n| --- | --- | --- | --- | --- | --- |\n| 50DCG<br>50Greedy | 7.4<br>6.82 | 5.84<br>5.66 | 5.18<br>5.06 | 3.98<br>3.98 | 2.68<br>2.68 |\n| 100DCG<br>100Greedy | 7.38<br>6.69 | 5.61<br>5.52 | 5.04<br>5.04 | 3.96<br>3.96 | 2.76<br>2.76 |",0]
["| Field | Description |\n| --- | --- |\n| IMEI | IMEIcodeMS |\n| called | calleduser |\n| calling | callinguser |\n| date/timestart | date/timestartcalling(GMT) |\n| date/timeend | date/timeendcalling(GMT) |","| type | sms,mms,voice,dataetc. |\n| --- | --- |\n| IMSI | callingorcalledSIMcard |\n| CGI | Lat.long.BTScompany |",1]
["| Field | Description |\n| --- | --- |\n| IMEI | IMEIcodeMS |\n| called | calleduser |\n| calling | callinguser |\n| date/timestart | date/timestartcalling(GMT) |\n| date/timeend | date/timeendcalling(GMT) |","| Date | Time | Type | Direction | Duratio |\n| --- | --- | --- | --- | --- |\n| 20100916 | 130748 | Voice | Incoming | 18 |\n| 20100916 | 133131 | Voice | Outgoing | 99 |\n| 20100916 | 131324 | Voice | Incoming | 214 |\n| 20100916 | 131735 | Voice | Incoming | 72 |\n| 20100916 | 135342 | Voice | Incoming | 37 |",0]
["| Field | Description |\n| --- | --- |\n| IMEI | IMEIcodeMS |\n| called | calleduser |\n| calling | callinguser |\n| date/timestart | date/timestartcalling(GMT) |\n| date/timeend | date/timeendcalling(GMT) |\n| type | sms,mms,voice,dataetc. |","| IMSI | callingorcalledSIMcard |\n| --- | --- |\n| CGI | Lat.long.BTScompany |",1]
["| Field | Description |\n| --- | --- |\n| IMEI | IMEIcodeMS |\n| called | calleduser |\n| calling | callinguser |\n| date/timestart | date/timestartcalling(GMT) |\n| date/timeend | date/timeendcalling(GMT) |\n| type | sms,mms,voice,dataetc. |","| 20100916 | 131324 | Voice | Incoming | 214 |\n| --- | --- | --- | --- | --- |\n| 20100916 | 131735 | Voice | Incoming | 72 |\n| 20100916 | 135342 | Voice | Incoming | 37 |",0]
["| Name | Kernel | OutputSize | Name | Kernel | OutputSize |\n| --- | --- | --- | --- | --- | --- |\n| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |\n| pool1 | 2×2 | 160×224×64 | reﬁne-1convs | 3×3 | 40×56×256 |\n| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |\n| pool2 | 2×2 | 80×112×128 | reﬁne-2convs | 3×3 | 80×112×128 |\n| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |\n| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |","| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| --- | --- | --- | --- | --- | --- |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",1]
["| Name | Kernel | OutputSize | Name | Kernel | OutputSize |\n| --- | --- | --- | --- | --- | --- |\n| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |\n| pool1 | 2×2 | 160×224×64 | reﬁne-1convs | 3×3 | 40×56×256 |\n| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |\n| pool2 | 2×2 | 80×112×128 | reﬁne-2convs | 3×3 | 80×112×128 |\n| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |\n| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |","| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |\n| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["| Name | Kernel | OutputSize | Name | Kernel | OutputSize |\n| --- | --- | --- | --- | --- | --- |\n| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |\n| pool1 | 2×2 | 160×224×64 | reﬁne-1convs | 3×3 | 40×56×256 |\n| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |","| pool2 | 2×2 | 80×112×128 | reﬁne-2convs | 3×3 | 80×112×128 |\n| --- | --- | --- | --- | --- | --- |\n| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |\n| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |\n| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",1]
["| Name | Kernel | OutputSize | Name | Kernel | OutputSize |\n| --- | --- | --- | --- | --- | --- |\n| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |\n| pool1 | 2×2 | 160×224×64 | reﬁne-1convs | 3×3 | 40×56×256 |\n| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |","| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| --- | --- | --- | --- | --- | --- |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["| Input | blade | dragon | hand | happy |\n| --- | --- | --- | --- | --- |\n| Exact | 70.9 | 8.06 | 17 | 12.38 |\n| Approx | 67 | 5.9 | 15 | 6.27 |","| Har-Peled | 84 | 84.6 | 36.8 | 76 |\n| --- | --- | --- | --- | --- |\n| Hybrid1 | 112 | 102 | 13 | 64.2 |\n| Hybrid2 | 42 | 79 | 13 | 54 |\n| Algorithm?? | 25.4 | 12.2 | 8.31 | 14.3 |\n| Algorithm??-5 | 34 | 16.9 | 14.2 | 20.5 |\n| Algorithm??-3 | 20.4 | 10.2 | 7.94 | 12.3 |\n| Algorithm??-2 | 1.35 | 6.9 | 5.3 | 8.2 |",1]
["| Input | blade | dragon | hand | happy |\n| --- | --- | --- | --- | --- |\n| Exact | 70.9 | 8.06 | 17 | 12.38 |\n| Approx | 67 | 5.9 | 15 | 6.27 |","| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |\n| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |\n| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |\n| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |\n| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |\n| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |\n| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |\n| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |\n| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |\n| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |\n| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |\n| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |\n| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |\n| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |\n| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |\n| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 |",0]
["| Input | blade | dragon | hand | happy |\n| --- | --- | --- | --- | --- |\n| Exact | 70.9 | 8.06 | 17 | 12.38 |\n| Approx | 67 | 5.9 | 15 | 6.27 |\n| Har-Peled | 84 | 84.6 | 36.8 | 76 |\n| Hybrid1 | 112 | 102 | 13 | 64.2 |\n| Hybrid2 | 42 | 79 | 13 | 54 |\n| Algorithm?? | 25.4 | 12.2 | 8.31 | 14.3 |","| Algorithm??-5 | 34 | 16.9 | 14.2 | 20.5 |\n| --- | --- | --- | --- | --- |\n| Algorithm??-3 | 20.4 | 10.2 | 7.94 | 12.3 |\n| Algorithm??-2 | 1.35 | 6.9 | 5.3 | 8.2 |",1]
["| Input | blade | dragon | hand | happy |\n| --- | --- | --- | --- | --- |\n| Exact | 70.9 | 8.06 | 17 | 12.38 |\n| Approx | 67 | 5.9 | 15 | 6.27 |\n| Har-Peled | 84 | 84.6 | 36.8 | 76 |\n| Hybrid1 | 112 | 102 | 13 | 64.2 |\n| Hybrid2 | 42 | 79 | 13 | 54 |\n| Algorithm?? | 25.4 | 12.2 | 8.31 | 14.3 |","| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |\n| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |\n| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |\n| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |\n| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |\n| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |\n| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |\n| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |\n| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |\n| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 |",0]
["| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |","| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",1]
["| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |","| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |\n| 615 | 245 |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |\n| 285 | 155 |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |","| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",1]
["| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |","| 116 | 84 |\n| --- | --- |\n| 76 | 47 |",0]
["| #Predicted |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |","| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",1]
["| #Predicted |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |","| Accuracy | Precision | Recall |\n| --- | --- | --- |\n| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |\n| 51.15 | - | - |\n| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |\n| 70.8 | 0.718 | 0.612 |",0]
["| #Predicted |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",1]
["| #Predicted |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |\n| --- | --- | --- |\n| 70.8 | 0.718 | 0.612 |",0]
["| B | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| B0 | 54.73-46.07 | 31.76-24.28 | 5.18-3.78 |\n| B1 | 74.43-62.26 | 73.43-62.58 | 54.04-43.74 |","| B2 | 74.65-63.41 | 74.71-63.99 | 55.39-45.37 |\n| --- | --- | --- | --- |\n| Our | 74.05-64.39 | 78.65-67.23 | 54.46-45.79 |",1]
["| B | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| B0 | 54.73-46.07 | 31.76-24.28 | 5.18-3.78 |\n| B1 | 74.43-62.26 | 73.43-62.58 | 54.04-43.74 |","| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |\n| 82.4 | 76.8 |\n| 86.4 | 82.2 |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",0]
["| B | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| B0 | 54.73-46.07 | 31.76-24.28 | 5.18-3.78 |\n| B1 | 74.43-62.26 | 73.43-62.58 | 54.04-43.74 |","| B2 | 74.65-63.41 | 74.71-63.99 | 55.39-45.37 |\n| --- | --- | --- | --- |\n| Our | 74.05-64.39 | 78.65-67.23 | 54.46-45.79 |",1]
["| B | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| B0 | 54.73-46.07 | 31.76-24.28 | 5.18-3.78 |\n| B1 | 74.43-62.26 | 73.43-62.58 | 54.04-43.74 |","| 91.4 | 87.6 |\n| --- | --- |\n| 90.2 | 86.1 |",0]
["|  | ψG | ψP |\n| --- | --- | --- |\n| cyclase | ‘si-keul-la-a-je’ | ∗‘sa-i-keul-la-a-je’ |\n| bacteroid | ‘bak-te-lo-i-deu’ | ∗‘bak-teo-o-i-deu’ |\n| geoid | ∗‘je-o-i-deu’ | ‘ji-o-i-deu’ |\n| silo | ∗‘sil-lo’ | ‘sa-il-lo’ |\n| saxhorn | ∗‘saek-seon’ | ∗‘saek-seu-ho-leun’ |\n|  | ψH | ψC |\n| cyclase | ∗‘sa-i-keul-la-a-je’ | ∗‘sa-i-keul-la-a-je’ |\n| bacteroid | ‘bak-te-lo-i-deu’ | ‘bak-te-lo-i-deu’ |\n| geoid | ‘ji-o-i-deu’ | ∗‘ge-o-i-deu’ |","| silo | ∗‘sil-lo’ | ∗‘sil-lo’ |\n| --- | --- | --- |\n| saxhorn | ∗‘saek-seon’ | ‘saek-seu-hon’ |",1]
["|  | ψG | ψP |\n| --- | --- | --- |\n| cyclase | ‘si-keul-la-a-je’ | ∗‘sa-i-keul-la-a-je’ |\n| bacteroid | ‘bak-te-lo-i-deu’ | ∗‘bak-teo-o-i-deu’ |\n| geoid | ∗‘je-o-i-deu’ | ‘ji-o-i-deu’ |\n| silo | ∗‘sil-lo’ | ‘sa-il-lo’ |\n| saxhorn | ∗‘saek-seon’ | ∗‘saek-seu-ho-leun’ |\n|  | ψH | ψC |\n| cyclase | ∗‘sa-i-keul-la-a-je’ | ∗‘sa-i-keul-la-a-je’ |\n| bacteroid | ‘bak-te-lo-i-deu’ | ‘bak-te-lo-i-deu’ |\n| geoid | ‘ji-o-i-deu’ | ∗‘ge-o-i-deu’ |","| PABG | WABG | WRBG |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |\n| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |\n| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |\n| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |\n| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |\n| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |\n| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |\n| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |\n| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 |",0]
["|  | ψG | ψP |\n| --- | --- | --- |\n| cyclase | ‘si-keul-la-a-je’ | ∗‘sa-i-keul-la-a-je’ |\n| bacteroid | ‘bak-te-lo-i-deu’ | ∗‘bak-teo-o-i-deu’ |\n| geoid | ∗‘je-o-i-deu’ | ‘ji-o-i-deu’ |\n| silo | ∗‘sil-lo’ | ‘sa-il-lo’ |\n| saxhorn | ∗‘saek-seon’ | ∗‘saek-seu-ho-leun’ |","|  | ψH | ψC |\n| --- | --- | --- |\n| cyclase | ∗‘sa-i-keul-la-a-je’ | ∗‘sa-i-keul-la-a-je’ |\n| bacteroid | ‘bak-te-lo-i-deu’ | ‘bak-te-lo-i-deu’ |\n| geoid | ‘ji-o-i-deu’ | ∗‘ge-o-i-deu’ |\n| silo | ∗‘sil-lo’ | ∗‘sil-lo’ |\n| saxhorn | ∗‘saek-seon’ | ‘saek-seu-hon’ |",1]
["|  | ψG | ψP |\n| --- | --- | --- |\n| cyclase | ‘si-keul-la-a-je’ | ∗‘sa-i-keul-la-a-je’ |\n| bacteroid | ‘bak-te-lo-i-deu’ | ∗‘bak-teo-o-i-deu’ |\n| geoid | ∗‘je-o-i-deu’ | ‘ji-o-i-deu’ |\n| silo | ∗‘sil-lo’ | ‘sa-il-lo’ |\n| saxhorn | ∗‘saek-seon’ | ∗‘saek-seu-ho-leun’ |","| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 |",0]
["| Index | Dataset | Partitions | Fragments | Bins | (Mb) |\n| --- | --- | --- | --- | --- | --- |\n| SPEQ06 | SwissProt | T,SA,N,ILV,M,KR,DE,Q,WF,Y,H,G,P,C | 53486349 | 7529536 | 283 |\n| SPEQ09 | SwissProt | TSAN,ILVM,KR,DEQ,WFYH,GPC | 53478888 | 10077696 | 293 |\n| SPEQ12 | SwissProt | TSAN,ILVM,KRDEQ,WFYHGPC | 53472161 | 16777216 | 318 |\n| nr01809 | nr018K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 6005750 | 10077696 | 67 |","| nr03609 | nr036K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 11911191 | 10077696 | 95 |\n| --- | --- | --- | --- | --- | --- |\n| nr07209 | nr072K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 23878523 | 10077696 | 152 |\n| nr28809 | nr288K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 95593618 | 10077696 | 494 |\n| SPNA09 | SwissProt | KR,Q,E,D,N,T,SA,G,H,W,Y,F,P,C,ILV,M<br>KR,Q,ED,N,T,SA,G,HW,YF,P,C,ILV,M<br>KR,QED,N,TSA,G,HW,YF,P,C,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYFPC,ILVM<br>KR,QEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPCILVM<br>KRQEDNTSAG,HWYFPCILVM | 53478888 | 10483200 | 294 |\n| SPNB09 | SwissProt | KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYFPC,ILVM<br>KR,QEDN,TSAG,HWYFPC,ILVM<br>KR,QEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPCILVM<br>KRQEDNTSAG,HWYFPCILVM | 53476582 | 8643600 | 287 |",1]
["| Index | Dataset | Partitions | Fragments | Bins | (Mb) |\n| --- | --- | --- | --- | --- | --- |\n| SPEQ06 | SwissProt | T,SA,N,ILV,M,KR,DE,Q,WF,Y,H,G,P,C | 53486349 | 7529536 | 283 |\n| SPEQ09 | SwissProt | TSAN,ILVM,KR,DEQ,WFYH,GPC | 53478888 | 10077696 | 293 |\n| SPEQ12 | SwissProt | TSAN,ILVM,KRDEQ,WFYHGPC | 53472161 | 16777216 | 318 |\n| nr01809 | nr018K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 6005750 | 10077696 | 67 |","| Dataset | Method | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gavin | MDS | 6 | 60 | 169 | 384 | 644 |\n|  | Diverse | 3 | 19 | 111 | 373 | 622 |\n|  | ClusterONE | 0 | 17 | 107 | 304 | 585 |\n| KroganCore | MDS | 573 | 701 | 814 | 1070 | 1443 |\n|  | Diverse | 483 | 626 | 739 | 918 | 1061 |\n|  | ClusterONE | 349 | 496 | 652 | 833 | 1048 |\n| Kroganextended | MDS | 572 | 691 | 837 | 1097 | 1487 |\n|  | Diverse | 491 | 626 | 754 | 934 | 1078 |\n|  | ClusterONE | 354 | 495 | 658 | 870 | 1064 |\n| Collins | MDS | 750 | 901 | 1005 | 1086 | 1210 |\n| (cov/k:5) | Diverse | 702 | 846 | 963 | 1058 | 1138 |\n|  | ClusterONE | 629 | 809 | 915 | 1019 | 1147 |\n| BioGRID | MDS | 2689 | 2951 | 3181 | 3593 | 3788 |\n|  | Diverse | 2335 | 2623 | 2827 | 3194 | 3367 |\n|  | ClusterONE | 1151 | 1580 | 1776 | 2580 | 4418 |\n| String | MDS | 2321 | 3422 | 4523 | 5867 | 7841 |\n|  | Diverse | 2063 | 3042 | 4021 | 5215 | 6970 |\n|  | ClusterONE | 970 | 1642 | 2381 | 3580 | 5618 |",0]
["| Index | Dataset | Partitions | Fragments | Bins | (Mb) |\n| --- | --- | --- | --- | --- | --- |\n| SPEQ06 | SwissProt | T,SA,N,ILV,M,KR,DE,Q,WF,Y,H,G,P,C | 53486349 | 7529536 | 283 |\n| SPEQ09 | SwissProt | TSAN,ILVM,KR,DEQ,WFYH,GPC | 53478888 | 10077696 | 293 |\n| SPEQ12 | SwissProt | TSAN,ILVM,KRDEQ,WFYHGPC | 53472161 | 16777216 | 318 |\n| nr01809 | nr018K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 6005750 | 10077696 | 67 |\n| nr03609 | nr036K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 11911191 | 10077696 | 95 |\n| nr07209 | nr072K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 23878523 | 10077696 | 152 |\n| nr28809 | nr288K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 95593618 | 10077696 | 494 |","| SPNA09 | SwissProt | KR,Q,E,D,N,T,SA,G,H,W,Y,F,P,C,ILV,M<br>KR,Q,ED,N,T,SA,G,HW,YF,P,C,ILV,M<br>KR,QED,N,TSA,G,HW,YF,P,C,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYFPC,ILVM<br>KR,QEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPCILVM<br>KRQEDNTSAG,HWYFPCILVM | 53478888 | 10483200 | 294 |\n| --- | --- | --- | --- | --- | --- |\n| SPNB09 | SwissProt | KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYF,PC,ILVM<br>KR,QEDN,TSA,G,HWYFPC,ILVM<br>KR,QEDN,TSAG,HWYFPC,ILVM<br>KR,QEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPC,ILVM<br>KRQEDN,TSAG,HWYFPCILVM<br>KRQEDNTSAG,HWYFPCILVM | 53476582 | 8643600 | 287 |",1]
["| Index | Dataset | Partitions | Fragments | Bins | (Mb) |\n| --- | --- | --- | --- | --- | --- |\n| SPEQ06 | SwissProt | T,SA,N,ILV,M,KR,DE,Q,WF,Y,H,G,P,C | 53486349 | 7529536 | 283 |\n| SPEQ09 | SwissProt | TSAN,ILVM,KR,DEQ,WFYH,GPC | 53478888 | 10077696 | 293 |\n| SPEQ12 | SwissProt | TSAN,ILVM,KRDEQ,WFYHGPC | 53472161 | 16777216 | 318 |\n| nr01809 | nr018K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 6005750 | 10077696 | 67 |\n| nr03609 | nr036K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 11911191 | 10077696 | 95 |\n| nr07209 | nr072K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 23878523 | 10077696 | 152 |\n| nr28809 | nr288K | TSAN,ILVM,KR,DEQ,WFYH,GPC | 95593618 | 10077696 | 494 |","|  | Diverse | 3 | 19 | 111 | 373 | 622 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | ClusterONE | 0 | 17 | 107 | 304 | 585 |\n| KroganCore | MDS | 573 | 701 | 814 | 1070 | 1443 |\n|  | Diverse | 483 | 626 | 739 | 918 | 1061 |\n|  | ClusterONE | 349 | 496 | 652 | 833 | 1048 |\n| Kroganextended | MDS | 572 | 691 | 837 | 1097 | 1487 |\n|  | Diverse | 491 | 626 | 754 | 934 | 1078 |\n|  | ClusterONE | 354 | 495 | 658 | 870 | 1064 |\n| Collins | MDS | 750 | 901 | 1005 | 1086 | 1210 |\n| (cov/k:5) | Diverse | 702 | 846 | 963 | 1058 | 1138 |\n|  | ClusterONE | 629 | 809 | 915 | 1019 | 1147 |\n| BioGRID | MDS | 2689 | 2951 | 3181 | 3593 | 3788 |\n|  | Diverse | 2335 | 2623 | 2827 | 3194 | 3367 |\n|  | ClusterONE | 1151 | 1580 | 1776 | 2580 | 4418 |\n| String | MDS | 2321 | 3422 | 4523 | 5867 | 7841 |\n|  | Diverse | 2063 | 3042 | 4021 | 5215 | 6970 |\n|  | ClusterONE | 970 | 1642 | 2381 | 3580 | 5618 |",0]
["| Parameter | Zhang | Mohanty | Darji | Yusong | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Multipliers | 10 | 9P | 10 | 10P | 0 |","| Adders | 16 | 16P | 16 | 16P | 34P |\n| --- | --- | --- | --- | --- | --- |\n| InternalMemory | 4N+37 | 15P+5.5N | 4N | 24P+3N | 60P+3N |\n| Criticalpath | Tm | T+2Tma | Tm | T+Tma | Ta |\n| ComputationTime | N/2 | N/2P | N/2 | N/2P | N/2P |\n| Throughput | 2/Tm | 2P/T+2Tma | 2/Tm | 2P/T+Tma | 2P/Ta |",1]
["| Parameter | Zhang | Mohanty | Darji | Yusong | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Multipliers | 10 | 9P | 10 | 10P | 0 |","| Parameter | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 82 | 83 | 36.3K | 37.6K |\n| REGs | 172 | 177 | 18.6K | 19.1K |\n| BRAM(bits) | 7.20K | 7.27K | 216K | 221K |\n| DSPs | 1 | 1 | 4 | 4 |\n| Cycles/Kernel | 1003 | 1008 | 250 | 258 |\n| EWGT | 249K | 292K | 997K | 826K |",0]
["| Parameter | Zhang | Mohanty | Darji | Yusong | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Multipliers | 10 | 9P | 10 | 10P | 0 |","| Adders | 16 | 16P | 16 | 16P | 34P |\n| --- | --- | --- | --- | --- | --- |\n| InternalMemory | 4N+37 | 15P+5.5N | 4N | 24P+3N | 60P+3N |\n| Criticalpath | Tm | T+2Tma | Tm | T+Tma | Ta |\n| ComputationTime | N/2 | N/2P | N/2 | N/2P | N/2P |\n| Throughput | 2/Tm | 2P/T+2Tma | 2/Tm | 2P/T+Tma | 2P/Ta |",1]
["| Parameter | Zhang | Mohanty | Darji | Yusong | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Multipliers | 10 | 9P | 10 | 10P | 0 |","| Cycles/Kernel | 1003 | 1008 | 250 | 258 |\n| --- | --- | --- | --- | --- |\n| EWGT | 249K | 292K | 997K | 826K |",0]
["| σ=20 | σ=30 | σ=40 | σ=50 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| face | text | face | text | face | text | face | text |  |\n| BM3D | 31.88 | 28.13 | 29.64 | 24.95 | 27.57 | 22.55 | 26.98 | 20.91 |","| EPLL(generic) | 31.66 | 28.15 | 29.43 | 25.21 | 27.74 | 23.15 | 26.58 | 21.72 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ClassadaptedEPLL | 32.34 | 29.23 | 30.16 | 26.39 | 28.49 | 24.40 | 27.28 | 23.01 |\n| ExternalNon-localmeans | 31.81 | 25.93 | 30.08 | 25.27 | 28.75 | 23.90 | 27.48 | 22.50 |\n| Luoet.al. | 32.98 | 27.52 | 30.89 | 27.44 | 29.24 | 26.29 | 28.01 | 25.02 |\n| Proposedmethod(Gaussian) | 32.63 | 30.12 | 30.79 | 27.81 | 29.11 | 26.41 | 27.75 | 25.22 |\n| Proposedmethod(GG) | 33.09 | 30.93 | 30.99 | 28.20 | 29.48 | 26.75 | 28.08 | 25.79 |",1]
["| σ=20 | σ=30 | σ=40 | σ=50 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| face | text | face | text | face | text | face | text |  |\n| BM3D | 31.88 | 28.13 | 29.64 | 24.95 | 27.57 | 22.55 | 26.98 | 20.91 |","| Method | σ=25 | σ=50 | σ=75 | σ=100 |\n| --- | --- | --- | --- | --- |\n| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |\n| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |\n| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |\n| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |\n| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |\n| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 |\n| MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |\n| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 |",0]
["| σ=20 | σ=30 | σ=40 | σ=50 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| face | text | face | text | face | text | face | text |","| BM3D | 31.88 | 28.13 | 29.64 | 24.95 | 27.57 | 22.55 | 26.98 | 20.91 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| EPLL(generic) | 31.66 | 28.15 | 29.43 | 25.21 | 27.74 | 23.15 | 26.58 | 21.72 |\n| ClassadaptedEPLL | 32.34 | 29.23 | 30.16 | 26.39 | 28.49 | 24.40 | 27.28 | 23.01 |\n| ExternalNon-localmeans | 31.81 | 25.93 | 30.08 | 25.27 | 28.75 | 23.90 | 27.48 | 22.50 |\n| Luoet.al. | 32.98 | 27.52 | 30.89 | 27.44 | 29.24 | 26.29 | 28.01 | 25.02 |\n| Proposedmethod(Gaussian) | 32.63 | 30.12 | 30.79 | 27.81 | 29.11 | 26.41 | 27.75 | 25.22 |\n| Proposedmethod(GG) | 33.09 | 30.93 | 30.99 | 28.20 | 29.48 | 26.75 | 28.08 | 25.79 |",1]
["| σ=20 | σ=30 | σ=40 | σ=50 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| face | text | face | text | face | text | face | text |","| MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |\n| --- | --- | --- | --- | --- |\n| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 |",0]
["| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |","| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |\n| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |\n| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",1]
["| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |","| L# | Type | K.Size | InputSize | OutputSize |\n| --- | --- | --- | --- | --- |\n| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 |\n| 2 | C,B,R | 128 | 128×128×64 | 64×64×128 |\n| 3 | C,B,R | 256 | 64×64×128 | 32×32×256 |\n| 4 | C,B,R | 512 | 32×32×256 | 16×16×512 |\n| 5 | C,B,R | 512 | 16×16×512 | 8×8×512 |\n| 6 | C,B,R | 512 | 8×8×512 | 4×4×512 |\n| 7 | C | 512 | 4×4×512 | 2048×1 |",0]
["| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |\n| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |","| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |\n| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",1]
["| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |\n| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |","| 4 | C,B,R | 512 | 32×32×256 | 16×16×512 |\n| --- | --- | --- | --- | --- |\n| 5 | C,B,R | 512 | 16×16×512 | 8×8×512 |\n| 6 | C,B,R | 512 | 8×8×512 | 4×4×512 |\n| 7 | C | 512 | 4×4×512 | 2048×1 |",0]
["| Name | LossWeightDistribution |\n| --- | --- |\n| LW0 | (1,1,1,1,1,1,1,1) |","| LW1 | (1,1,1,0.9,0.8,0.8,0.9,1) |\n| --- | --- |\n| LW2 | (1,1,1,1.1,1.2,1.2,1.1,1) |\n| LW3 | (1,1,1,1.3,1.5,1.5,1.3,1) |",1]
["| Name | LossWeightDistribution |\n| --- | --- |\n| LW0 | (1,1,1,1,1,1,1,1) |","| Item | NormalizedDecayedWeight |\n| --- | --- |\n| 2 | 198.08 |\n| 3 | 96.16 |\n| 5 | 72.15 |\n| 6 | 37.04 |",0]
["| Name | LossWeightDistribution |\n| --- | --- |\n| LW0 | (1,1,1,1,1,1,1,1) |\n| LW1 | (1,1,1,0.9,0.8,0.8,0.9,1) |","| LW2 | (1,1,1,1.1,1.2,1.2,1.1,1) |\n| --- | --- |\n| LW3 | (1,1,1,1.3,1.5,1.5,1.3,1) |",1]
["| Name | LossWeightDistribution |\n| --- | --- |\n| LW0 | (1,1,1,1,1,1,1,1) |\n| LW1 | (1,1,1,0.9,0.8,0.8,0.9,1) |","| 5 | 72.15 |\n| --- | --- |\n| 6 | 37.04 |",0]
["| Method | DR | FPR | MDR |\n| --- | --- | --- | --- |\n| Waveletbased | 85.3 | 10.4 | 4.2 |\n| Laplacianbased | 84.9 | 26.8 | 16.3 |","| Proposed | 78.34 | 30.8 | 23.4 |\n| --- | --- | --- | --- |\n| Edgebased | 58.2 | 32.4 | 22.1 |\n| Gradient | 65.6 | 16.8 | 3.0 |\n| Sobel-colorbased | 58.1 | 61.3 | 12.3 |\n| Uniformtextcolor | 54.5 | 54.9 | 35.4 |",1]
["| Method | DR | FPR | MDR |\n| --- | --- | --- | --- |\n| Waveletbased | 85.3 | 10.4 | 4.2 |\n| Laplacianbased | 84.9 | 26.8 | 16.3 |","| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |\n| ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |\n| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 |\n| MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |\n| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |\n| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 |",0]
["| Method | DR | FPR | MDR |\n| --- | --- | --- | --- |\n| Waveletbased | 85.3 | 10.4 | 4.2 |","| Laplacianbased | 84.9 | 26.8 | 16.3 |\n| --- | --- | --- | --- |\n| Proposed | 78.34 | 30.8 | 23.4 |\n| Edgebased | 58.2 | 32.4 | 22.1 |\n| Gradient | 65.6 | 16.8 | 3.0 |\n| Sobel-colorbased | 58.1 | 61.3 | 12.3 |\n| Uniformtextcolor | 54.5 | 54.9 | 35.4 |",1]
["| Method | DR | FPR | MDR |\n| --- | --- | --- | --- |\n| Waveletbased | 85.3 | 10.4 | 4.2 |","| MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |\n| --- | --- | --- | --- | --- | --- |\n| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |\n| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 |",0]
["|  |  |  | K=6,conesize=nolimit | K=6,conesize=300 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| circuit | #inputs | #nodes | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) |\n| c432 | 36 | 356 | 4317 | 0.93 | 0.02 | 4253 | 0.98 | 0.02 |","| c1355 | 41 | 1133 | 228,950 | 49.04 | 3.22 | 129,994 | 15 | 2.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c1908 | 33 | 1793 | 9,519,182 | 48.12 | 9.43 | 2,099,375 | 18.49 | 5.02 |\n| c6288 | 32 | 4864 | 1,494,636 | 6085.06 | 190.86 | 737,587 | 480.83 | 63.96 |\n| c7552 | 207 | 7233 | 5,949,016 | 182.96 | 17.43 | 2,521,039 | 55.48 | 10.75 |",1]
["|  |  |  | K=6,conesize=nolimit | K=6,conesize=300 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| circuit | #inputs | #nodes | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) |\n| c432 | 36 | 356 | 4317 | 0.93 | 0.02 | 4253 | 0.98 | 0.02 |","| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k | l | \\|e\\| | \\|e\\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |\n| 5 | 5 | 50 | 9.98 | 7.35 | 0.53 | 0.42 | 0.0097 | 0.00087 |\n| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |\n| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |\n| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",0]
["|  |  |  | K=6,conesize=nolimit | K=6,conesize=300 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| circuit | #inputs | #nodes | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) |","| c432 | 36 | 356 | 4317 | 0.93 | 0.02 | 4253 | 0.98 | 0.02 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c1355 | 41 | 1133 | 228,950 | 49.04 | 3.22 | 129,994 | 15 | 2.5 |\n| c1908 | 33 | 1793 | 9,519,182 | 48.12 | 9.43 | 2,099,375 | 18.49 | 5.02 |\n| c6288 | 32 | 4864 | 1,494,636 | 6085.06 | 190.86 | 737,587 | 480.83 | 63.96 |\n| c7552 | 207 | 7233 | 5,949,016 | 182.96 | 17.43 | 2,521,039 | 55.48 | 10.75 |",1]
["|  |  |  | K=6,conesize=nolimit | K=6,conesize=300 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| circuit | #inputs | #nodes | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) | #cuts<br>afterpruning | pruning<br>time(s) | enum.<br>time(s) |","| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",0]
["| Globalcomplexity;paintingFig.4,colour:green |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| Original | 0.4515 | 0.4284 | 0.4368 | 0.4240 | 0.4438 | 0.4339 | 0.3875 |\n| Copy | 0.4177 | 0.4453 | 0.3936 | 0.4027 | 0.4244 | 0.3954 | 0.3890 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.5123 | 0.4601 | 0.4594 | 0.4445 | 0.5151 | 0.4306 | 0.4314 |\n| Copy | 0.4753 | 0.46163 | 0.41101 | 0.4073 | 0.4868 | 0.4091 | 0.4242 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4179 | 0.3945 | 0.3988 | 0.3921 | 0.3976 | 0.4147 | 0.3368 |","| Copy | 0.3759 | 0.4171 | 0.3175 | 0.3554 | 0.3400 | 0.3342 | 0.3279 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Verticalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4242 | 0.4303 | 0.4523 | 0.4355 | 0.4168 | 0.4566 | 0.3942 |\n| Copy | 0.4019 | 0.4551 | 0.4521 | 0.4452 | 0.4464 | 0.4428 | 0.4148 |",1]
["| Globalcomplexity;paintingFig.4,colour:green |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| Original | 0.4515 | 0.4284 | 0.4368 | 0.4240 | 0.4438 | 0.4339 | 0.3875 |\n| Copy | 0.4177 | 0.4453 | 0.3936 | 0.4027 | 0.4244 | 0.3954 | 0.3890 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.5123 | 0.4601 | 0.4594 | 0.4445 | 0.5151 | 0.4306 | 0.4314 |\n| Copy | 0.4753 | 0.46163 | 0.41101 | 0.4073 | 0.4868 | 0.4091 | 0.4242 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4179 | 0.3945 | 0.3988 | 0.3921 | 0.3976 | 0.4147 | 0.3368 |","| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |\n| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.1849 | 0.4275 | 0.5211 | 0.3706 | 0.1824 | 0.2241 | 0.3917 |\n| 2 | 0.1668 | 0.3201 | 0.3707 | 0.2778 | 0.1682 | 0.1581 | 0.3448 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.2010 | 0.2048 | 0.2088 | 0.2066 | 0.2018 | 0.2293 | 0.2087 |\n| 2 | 0.2138 | 0.2247 | 0.2179 | 0.2250 | 0.2123 | 0.2113 | 0.2016 |\n| Verticalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.1677 | 0.2088 | 0.2298 | 0.2063 | 0.1708 | 0.2141 | 0.2335 |\n| 2 | 0.1578 | 0.1831 | 0.1878 | 0.1760 | 0.1596 | 0.1755 | 0.1688 |",0]
["| Globalcomplexity;paintingFig.4,colour:green |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| Original | 0.4515 | 0.4284 | 0.4368 | 0.4240 | 0.4438 | 0.4339 | 0.3875 |","| Copy | 0.4177 | 0.4453 | 0.3936 | 0.4027 | 0.4244 | 0.3954 | 0.3890 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Diagonalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.5123 | 0.4601 | 0.4594 | 0.4445 | 0.5151 | 0.4306 | 0.4314 |\n| Copy | 0.4753 | 0.46163 | 0.41101 | 0.4073 | 0.4868 | 0.4091 | 0.4242 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4179 | 0.3945 | 0.3988 | 0.3921 | 0.3976 | 0.4147 | 0.3368 |\n| Copy | 0.3759 | 0.4171 | 0.3175 | 0.3554 | 0.3400 | 0.3342 | 0.3279 |\n| Verticalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4242 | 0.4303 | 0.4523 | 0.4355 | 0.4168 | 0.4566 | 0.3942 |\n| Copy | 0.4019 | 0.4551 | 0.4521 | 0.4452 | 0.4464 | 0.4428 | 0.4148 |",1]
["| Globalcomplexity;paintingFig.4,colour:green |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| Original | 0.4515 | 0.4284 | 0.4368 | 0.4240 | 0.4438 | 0.4339 | 0.3875 |","| 1 | 0.1677 | 0.2088 | 0.2298 | 0.2063 | 0.1708 | 0.2141 | 0.2335 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.1578 | 0.1831 | 0.1878 | 0.1760 | 0.1596 | 0.1755 | 0.1688 |",0]
["| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |\n| --- | --- |\n| 0.7716.48<br>0.7814.37<br>0.8014.14<br>0.8112.95<br>0.908.94 | 0.7613.62<br>0.7910.26<br>0.7911.70<br>0.838.30<br>0.878.94 |\n| 0.8710.11<br>0.8710.11 | 0.8410.16<br>0.8510.36 |\n| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |","| 0.6724.52<br>0.6919.04<br>0.7020.40<br>0.7316.52<br>0.8611.02 | 0.6820.15<br>0.7116.16<br>0.7019.17<br>0.7710.26<br>0.8017.40 |\n| --- | --- |\n| 0.8313.13<br>0.8313.13 | 0.8110.73<br>0.8110.73 |",1]
["| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |\n| --- | --- |\n| 0.7716.48<br>0.7814.37<br>0.8014.14<br>0.8112.95<br>0.908.94 | 0.7613.62<br>0.7910.26<br>0.7911.70<br>0.838.30<br>0.878.94 |\n| 0.8710.11<br>0.8710.11 | 0.8410.16<br>0.8510.36 |\n| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |\n| --- | --- |\n| 0.7716.48<br>0.7814.37<br>0.8014.14<br>0.8112.95<br>0.908.94 | 0.7613.62<br>0.7910.26<br>0.7911.70<br>0.838.30<br>0.878.94 |\n| 0.8710.11<br>0.8710.11 | 0.8410.16<br>0.8510.36 |\n| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |","| 0.6724.52<br>0.6919.04<br>0.7020.40<br>0.7316.52<br>0.8611.02 | 0.6820.15<br>0.7116.16<br>0.7019.17<br>0.7710.26<br>0.8017.40 |\n| --- | --- |\n| 0.8313.13<br>0.8313.13 | 0.8110.73<br>0.8110.73 |",1]
["| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |\n| --- | --- |\n| 0.7716.48<br>0.7814.37<br>0.8014.14<br>0.8112.95<br>0.908.94 | 0.7613.62<br>0.7910.26<br>0.7911.70<br>0.838.30<br>0.878.94 |\n| 0.8710.11<br>0.8710.11 | 0.8410.16<br>0.8510.36 |\n| ‘Barbara’<br>SSIMRMSE | ‘Boats’<br>SSIMRMSE |","| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| Layer | KernelSize | #Features | Stride | Non-linearity | Other |\n| --- | --- | --- | --- | --- | --- |\n| Conv-1 | 5x5 | 192 | 1 | ReLU | BN |\n| MLPConv-1-1 | 1x1 | 160 | 1 | ReLU | BN |\n| MLPConv-1-2 | 1x1 | 96 | 1 | ReLU | BN |\n| MaxPool | 3x3 | 96 | 2 | Max | - |\n| Conv-2 | 5x5 | 192 | 1 | ReLU | BN,Dropout(p=0.5) |\n| MLPConv-2-1 | 1x1 | 192 | 1 | ReLU | BN |\n| MLPConv-2-2 | 1x1 | 192 | 1 | ReLU | BN |\n| AveragePool-1 | 3x3 | 192 | 2 | - | - |\n| Conv-3 | 5x5 | 192 | 1 | ReLU | BN,Dropout(p=0.5) |","| MLPConv-3-1 | 1x1 | 192 | 1 | ReLU | BN |\n| --- | --- | --- | --- | --- | --- |\n| MLPConv-3-2 | 1x1 | 100 | 1 | ReLU | BN |\n| AveragePool-2 | 8x8 | 100 | - | - | - |",1]
["| Layer | KernelSize | #Features | Stride | Non-linearity | Other |\n| --- | --- | --- | --- | --- | --- |\n| Conv-1 | 5x5 | 192 | 1 | ReLU | BN |\n| MLPConv-1-1 | 1x1 | 160 | 1 | ReLU | BN |\n| MLPConv-1-2 | 1x1 | 96 | 1 | ReLU | BN |\n| MaxPool | 3x3 | 96 | 2 | Max | - |\n| Conv-2 | 5x5 | 192 | 1 | ReLU | BN,Dropout(p=0.5) |\n| MLPConv-2-1 | 1x1 | 192 | 1 | ReLU | BN |\n| MLPConv-2-2 | 1x1 | 192 | 1 | ReLU | BN |\n| AveragePool-1 | 3x3 | 192 | 2 | - | - |\n| Conv-3 | 5x5 | 192 | 1 | ReLU | BN,Dropout(p=0.5) |","| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Layer | KernelSize | #Features | Stride | Non-linearity | Other |\n| --- | --- | --- | --- | --- | --- |\n| Conv-1 | 5x5 | 192 | 1 | ReLU | BN |\n| MLPConv-1-1 | 1x1 | 160 | 1 | ReLU | BN |\n| MLPConv-1-2 | 1x1 | 96 | 1 | ReLU | BN |\n| MaxPool | 3x3 | 96 | 2 | Max | - |\n| Conv-2 | 5x5 | 192 | 1 | ReLU | BN,Dropout(p=0.5) |\n| MLPConv-2-1 | 1x1 | 192 | 1 | ReLU | BN |\n| MLPConv-2-2 | 1x1 | 192 | 1 | ReLU | BN |","| AveragePool-1 | 3x3 | 192 | 2 | - | - |\n| --- | --- | --- | --- | --- | --- |\n| Conv-3 | 5x5 | 192 | 1 | ReLU | BN,Dropout(p=0.5) |\n| MLPConv-3-1 | 1x1 | 192 | 1 | ReLU | BN |\n| MLPConv-3-2 | 1x1 | 100 | 1 | ReLU | BN |\n| AveragePool-2 | 8x8 | 100 | - | - | - |",1]
["| Layer | KernelSize | #Features | Stride | Non-linearity | Other |\n| --- | --- | --- | --- | --- | --- |\n| Conv-1 | 5x5 | 192 | 1 | ReLU | BN |\n| MLPConv-1-1 | 1x1 | 160 | 1 | ReLU | BN |\n| MLPConv-1-2 | 1x1 | 96 | 1 | ReLU | BN |\n| MaxPool | 3x3 | 96 | 2 | Max | - |\n| Conv-2 | 5x5 | 192 | 1 | ReLU | BN,Dropout(p=0.5) |\n| MLPConv-2-1 | 1x1 | 192 | 1 | ReLU | BN |\n| MLPConv-2-2 | 1x1 | 192 | 1 | ReLU | BN |","| Conv22 | 3×3/1 | 64 | 128 |\n| --- | --- | --- | --- |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| PD-Flow | SR-Flow | Layered-Flow |\n| --- | --- | --- |\n| 9.07<br>34.1<br>147.08<br>53.22 | 2.76<br>4.59<br>26.83<br>5.20 | 1.01<br>2.73<br>11.67<br>- |\n| PD-Flow | SR-Flow | Layered-Flow |\n| 1.53<br>1.43<br>1.60<br>0.99 | 0.98<br>1.19<br>1.44<br>0.75 | 2.10<br>1.11<br>1.57<br>- |","| PD-Flow | SR-Flow | Layered-Flow |\n| --- | --- | --- |\n| 10.56<br>71.65<br>235.49<br>73.03 | 4.03<br>5.98<br>29.81<br>9.36 | 3.39<br>5.21<br>14.86<br>- |",1]
["| PD-Flow | SR-Flow | Layered-Flow |\n| --- | --- | --- |\n| 9.07<br>34.1<br>147.08<br>53.22 | 2.76<br>4.59<br>26.83<br>5.20 | 1.01<br>2.73<br>11.67<br>- |\n| PD-Flow | SR-Flow | Layered-Flow |\n| 1.53<br>1.43<br>1.60<br>0.99 | 0.98<br>1.19<br>1.44<br>0.75 | 2.10<br>1.11<br>1.57<br>- |","| Errorrate | Layer | #decodable | ITU-Rmark |\n| --- | --- | --- | --- |\n| 3 | 0<br>1<br>2<br>4<br>5 | 27<br>62<br>26<br>135<br>293 | 1.31<br>6.25<br>1.89<br>6.81<br>6.25 |\n| 5 | 0<br>1<br>2<br>4<br>5 | 2<br>13<br>35<br>114<br>152 | 0.22<br>0.40<br>0.48<br>0.76<br>0.76 |\n| 10 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>75<br>117 | —<br>—<br>—<br>2.85<br>2.87 |\n| 20 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>123<br>48 | —<br>—<br>—<br>0.85<br>0.61 |",0]
["| PD-Flow | SR-Flow | Layered-Flow |\n| --- | --- | --- |\n| 9.07<br>34.1<br>147.08<br>53.22 | 2.76<br>4.59<br>26.83<br>5.20 | 1.01<br>2.73<br>11.67<br>- |\n| PD-Flow | SR-Flow | Layered-Flow |\n| 1.53<br>1.43<br>1.60<br>0.99 | 0.98<br>1.19<br>1.44<br>0.75 | 2.10<br>1.11<br>1.57<br>- |","| PD-Flow | SR-Flow | Layered-Flow |\n| --- | --- | --- |\n| 10.56<br>71.65<br>235.49<br>73.03 | 4.03<br>5.98<br>29.81<br>9.36 | 3.39<br>5.21<br>14.86<br>- |",1]
["| PD-Flow | SR-Flow | Layered-Flow |\n| --- | --- | --- |\n| 9.07<br>34.1<br>147.08<br>53.22 | 2.76<br>4.59<br>26.83<br>5.20 | 1.01<br>2.73<br>11.67<br>- |\n| PD-Flow | SR-Flow | Layered-Flow |\n| 1.53<br>1.43<br>1.60<br>0.99 | 0.98<br>1.19<br>1.44<br>0.75 | 2.10<br>1.11<br>1.57<br>- |","| 10 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>75<br>117 | —<br>—<br>—<br>2.85<br>2.87 |\n| --- | --- | --- | --- |\n| 20 | 0<br>1<br>2<br>4<br>5 | —<br>—<br>—<br>123<br>48 | —<br>—<br>—<br>0.85<br>0.61 |",0]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 7216 | 340 | 1168 | 1.26s |","| 4476 | 519 | 989 | 72.31s |\n| --- | --- | --- | --- |\n| 5428 | 447 | 1061 | 63.27s |\n| 5558 | 329 | 1508 | 89.96s |\n| 5121 | 253 | 1179 | 59.97s |\n| 7501 | 470 | 1038 | 60.39s |\n| 10110 | 162 | 1346 | 72.69s |\n| 9515 | 404 | 1104 | 55.89s |\n| 8746 | 284 | 1224 | 81.74s |\n| 9133 | 301 | 1207 | 60.51s |\n| 10328 | 420 | 1088 | 72.13s |\n| 8931 | 319 | 1189 | 291.10s |",1]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 7216 | 340 | 1168 | 1.26s |","| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 22160 | 406 | 649 | 23.33s |\n| 13260 | 523 | 532 | 1813.63s |\n| 15432 | 365 | 690 | 1483.54s |\n| 14328 | 460 | 595 | 2125.43s |\n| 16578 | 396 | 659 | 1594.54s |\n| 16579 | 496 | 559 | 1674.43s |\n| 18054 | 365 | 690 | 1918.34s |\n| 21095 | 469 | 586 | 1428.32s |\n| 20658 | 584 | 471 | 2043.43s |\n| 19574 | 368 | 687 | 1485.85s |\n| 25704 | 565 | 490 | 1684.47s |\n| 29316 | 354 | 701 | 3510.26s |",0]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 7216 | 340 | 1168 | 1.26s |\n| 4476 | 519 | 989 | 72.31s |\n| 5428 | 447 | 1061 | 63.27s |\n| 5558 | 329 | 1508 | 89.96s |\n| 5121 | 253 | 1179 | 59.97s |\n| 7501 | 470 | 1038 | 60.39s |\n| 10110 | 162 | 1346 | 72.69s |","| 9515 | 404 | 1104 | 55.89s |\n| --- | --- | --- | --- |\n| 8746 | 284 | 1224 | 81.74s |\n| 9133 | 301 | 1207 | 60.51s |\n| 10328 | 420 | 1088 | 72.13s |\n| 8931 | 319 | 1189 | 291.10s |",1]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 7216 | 340 | 1168 | 1.26s |\n| 4476 | 519 | 989 | 72.31s |\n| 5428 | 447 | 1061 | 63.27s |\n| 5558 | 329 | 1508 | 89.96s |\n| 5121 | 253 | 1179 | 59.97s |\n| 7501 | 470 | 1038 | 60.39s |\n| 10110 | 162 | 1346 | 72.69s |","| 21095 | 469 | 586 | 1428.32s |\n| --- | --- | --- | --- |\n| 20658 | 584 | 471 | 2043.43s |\n| 19574 | 368 | 687 | 1485.85s |\n| 25704 | 565 | 490 | 1684.47s |\n| 29316 | 354 | 701 | 3510.26s |",0]
["| Model | NDCG@1 | NDCG@3 | MAP@1 | MAP@3 |\n| --- | --- | --- | --- | --- |\n| Fuzzy | 0.535 | 0.576 | 0.087 | 0.144 |\n| E-RNN | 0.617 | 0.636 | 0.094 | 0.159 |\n| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |\n| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |\n| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |\n| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |\n| NB | 0.619 | 0.611 | 0.092 | 0.151 |","| SVM | 0.620 | 0.646 | 0.096 | 0.156 |\n| --- | --- | --- | --- | --- |\n| LSA | 0.639 | 0.651 | 0.096 | 0.153 |\n| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |\n| TextRank | 0.629 | 0.645 | 0.095 | 0.153 |",1]
["| Model | NDCG@1 | NDCG@3 | MAP@1 | MAP@3 |\n| --- | --- | --- | --- | --- |\n| Fuzzy | 0.535 | 0.576 | 0.087 | 0.144 |\n| E-RNN | 0.617 | 0.636 | 0.094 | 0.159 |\n| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |\n| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |\n| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |\n| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |\n| NB | 0.619 | 0.611 | 0.092 | 0.151 |","| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |\n| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |\n| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |\n| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |\n| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| Model | NDCG@1 | NDCG@3 | MAP@1 | MAP@3 |\n| --- | --- | --- | --- | --- |\n| Fuzzy | 0.535 | 0.576 | 0.087 | 0.144 |\n| E-RNN | 0.617 | 0.636 | 0.094 | 0.159 |\n| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |\n| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |\n| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |\n| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |","| NB | 0.619 | 0.611 | 0.092 | 0.151 |\n| --- | --- | --- | --- | --- |\n| SVM | 0.620 | 0.646 | 0.096 | 0.156 |\n| LSA | 0.639 | 0.651 | 0.096 | 0.153 |\n| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |\n| TextRank | 0.629 | 0.645 | 0.095 | 0.153 |",1]
["| Model | NDCG@1 | NDCG@3 | MAP@1 | MAP@3 |\n| --- | --- | --- | --- | --- |\n| Fuzzy | 0.535 | 0.576 | 0.087 | 0.144 |\n| E-RNN | 0.617 | 0.636 | 0.094 | 0.159 |\n| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |\n| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |\n| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |\n| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |","| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| Iterationstep | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Initialbaseline | 52.4 | 5<br>1.27×10 |","| 1stiterCV-EC | 66.56 | 3.74×10 |\n| --- | --- | --- |\n| 1stiterCV-CL | 68.12 | 2.82×10 |\n| 2nditerCV-EC | 69.33 | 1.96×10 |\n| 2nditerCV-CL | 69.94 | 1.93×10 |",1]
["| Iterationstep | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Initialbaseline | 52.4 | 5<br>1.27×10 |","| Comparedmethods | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Alexnet | 52.4 | 5<br>1.27×10 |\n| Alexnet+CV-EC | 66.56 | 3.74×10 |\n| Alexnet+CV-CL | 64.72 | 4.81×10 |\n| Alexnet+Triplet | 60.8 | - |\n| Alexnet+ICV-ECCL | 69.94 | 1.93×10 |",0]
["| Iterationstep | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Initialbaseline | 52.4 | 5<br>1.27×10 |","| 1stiterCV-EC | 66.56 | 3.74×10 |\n| --- | --- | --- |\n| 1stiterCV-CL | 68.12 | 2.82×10 |\n| 2nditerCV-EC | 69.33 | 1.96×10 |\n| 2nditerCV-CL | 69.94 | 1.93×10 |",1]
["| Iterationstep | Accuracy | Cross-viewintra-classdistance |\n| --- | --- | --- |\n| Initialbaseline | 52.4 | 5<br>1.27×10 |","| Alexnet+Triplet | 60.8 | - |\n| --- | --- | --- |\n| Alexnet+ICV-ECCL | 69.94 | 1.93×10 |",0]
["| No.CorrectlyResolved | Greedy | FiniteState | DecisionList |\n| --- | --- | --- | --- |\n| SimpleInputswithone-onealighment | 116 | 115 | 88 |\n| SimpleInputswithzero-onealighment | 8 | 0 | 12 |","| ComplexInputs | 24 | 13 | 0 |\n| --- | --- | --- | --- |\n| Total | 148 | 128 | 100 |",1]
["| No.CorrectlyResolved | Greedy | FiniteState | DecisionList |\n| --- | --- | --- | --- |\n| SimpleInputswithone-onealighment | 116 | 115 | 88 |\n| SimpleInputswithzero-onealighment | 8 | 0 | 12 |","| No.CorrectlyResolved | withCognitivePrinciples | withoutCognitivePrinciples |\n| --- | --- | --- |\n| SimpleOne-ZeroAlignment | 5 | 5 |\n| SimpleOne-OneAlignment | 104 | 92 |\n| Complex | 24 | 18 |\n| Total | 133 | 115 |",0]
["| No.CorrectlyResolved | Greedy | FiniteState | DecisionList |\n| --- | --- | --- | --- |\n| SimpleInputswithone-onealighment | 116 | 115 | 88 |","| SimpleInputswithzero-onealighment | 8 | 0 | 12 |\n| --- | --- | --- | --- |\n| ComplexInputs | 24 | 13 | 0 |\n| Total | 148 | 128 | 100 |",1]
["| No.CorrectlyResolved | Greedy | FiniteState | DecisionList |\n| --- | --- | --- | --- |\n| SimpleInputswithone-onealighment | 116 | 115 | 88 |","| Complex | 24 | 18 |\n| --- | --- | --- |\n| Total | 133 | 115 |",0]
["| DomainVocabulary |\n| --- |\n| Voc(TROJRANSOM.SMAR,TSPYUSTEAL.USRJ) |\n| SemanticCategory |\n|  |\n| TYPECompany(Microsoft) |","| DirectRelation |\n| --- |\n|  |\n|  |\n|  |\n|  |\n| RAffect=(TROJRANSOM.SMAR,WindowsXP) |\n| IndirectRelation |\n|  |\n|  |\n|  |\n|  |",1]
["| DomainVocabulary |\n| --- |\n| Voc(TROJRANSOM.SMAR,TSPYUSTEAL.USRJ) |\n| SemanticCategory |\n|  |\n| TYPECompany(Microsoft) |","| Category | RelationAttribute |\n| --- | --- |\n| RO | hasactiveingredient |\n| RO | hasingredient |\n| RO | hasproductcomponent |\n| RO | hastradename |\n| RO | refersto |\n| RQ | hasalias |\n| RQ | replaces |\n| SY | - |\n| SY | expandedformof |\n| SY | hasexpandedform |\n| SY | hasmultilevelcategory |\n| SY | hasprintname |\n| SY | hassinglelevelcategory |\n| SY | hastradename |\n| SY | sameas |",0]
["| DomainVocabulary |\n| --- |\n| Voc(TROJRANSOM.SMAR,TSPYUSTEAL.USRJ) |\n| SemanticCategory |\n|  |\n| TYPECompany(Microsoft) |\n| DirectRelation |\n|  |\n|  |\n|  |\n|  |\n| RAffect=(TROJRANSOM.SMAR,WindowsXP) |\n| IndirectRelation |","|  |\n| --- |\n|  |\n|  |\n|  |",1]
["| DomainVocabulary |\n| --- |\n| Voc(TROJRANSOM.SMAR,TSPYUSTEAL.USRJ) |\n| SemanticCategory |\n|  |\n| TYPECompany(Microsoft) |\n| DirectRelation |\n|  |\n|  |\n|  |\n|  |\n| RAffect=(TROJRANSOM.SMAR,WindowsXP) |\n| IndirectRelation |","| SY | hassinglelevelcategory |\n| --- | --- |\n| SY | hastradename |\n| SY | sameas |",0]
["| Parameters | Value |\n| --- | --- |\n| Maximumsentencelength | 15words |\n| OptimizationMethod | Adam |\n| Learningrate | 0.01 |","| Batchsize | 256 |\n| --- | --- |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",1]
["| Parameters | Value |\n| --- | --- |\n| Maximumsentencelength | 15words |\n| OptimizationMethod | Adam |\n| Learningrate | 0.01 |","| Parameters | Value |\n| --- | --- |\n| Inputdescriptionlength | 50words |\n| Outputsummarylength | 15words |\n| OptimizationMethod | StochasticGradientDescent<br>withmomentum |\n| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |\n| Batchsize | 128 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| Parameters | Value |\n| --- | --- |\n| Maximumsentencelength | 15words |\n| OptimizationMethod | Adam |\n| Learningrate | 0.01 |","| Batchsize | 256 |\n| --- | --- |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",1]
["| Parameters | Value |\n| --- | --- |\n| Maximumsentencelength | 15words |\n| OptimizationMethod | Adam |\n| Learningrate | 0.01 |","| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |\n| --- | --- |\n| Batchsize | 128 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| Variable | Description |\n| --- | --- |\n| cHdfsReadCost<br>cHdfsWriteCost<br>cLocalIOCost<br>cNetworkCost | ThecostforreadingfromHDFS<br>ThecostforwritingtoHDFS<br>ThecostforperformingI/Ofromthelocaldisk<br>Thenetworktransferringcost |","| cMapCPUCost<br>cReduceCPUCost<br>cCombineCPUCost | TheCPUcostforexecutingthemapfunction<br>TheCPUcostforexecutingthereducefunction<br>TheCPUcostforexecutingthecombinefunction |\n| --- | --- |\n| cPartitionCPUCost<br>cSerdeCPUCost<br>cSortCPUCost<br>cMergeCPUCost | TheCPUcostforpartitioning<br>TheCPUcostforserialization<br>TheCPUcostforsortingonkeys<br>TheCPUcostformerging |\n| cInUncomprCPUCost<br>cIntermUncomprCPUCost<br>cIntermComprCPUCost<br>cOutComprCPUCost | TheCPUcostforuncompressingtheinputdata<br>TheCPUcostforuncompressingtheintermediatedata<br>TheCPUcostforcompressingtheintermediatedata<br>TheCPUcostforcompressingtheoutputdata |",1]
["| Variable | Description |\n| --- | --- |\n| cHdfsReadCost<br>cHdfsWriteCost<br>cLocalIOCost<br>cNetworkCost | ThecostforreadingfromHDFS<br>ThecostforwritingtoHDFS<br>ThecostforperformingI/Ofromthelocaldisk<br>Thenetworktransferringcost |","| Name | Description |\n| --- | --- |\n| αR | overheadareaperkBofregister-memorypervector-unit |\n| αM | overheadareaperkBofshared-memoryperSM |\n| αL1 | L1cacheoverheadareaperSM-pair |\n| αL2 | L2cacheoverheadarea |\n| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |\n| RVU | kBofregisterﬁlespervector-unit |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |\n| Acache | totalcachediearea |\n| Aoh | totalon-chipoverheaddiearea |\n| ALSU | totalload-storeunitdiearea |\n| ASFU | totalspecial-functionunitdiearea |\n| AFDU | totalfetch-decodeunitdiearea |\n| AIcache | totalinstruction-cachediearea |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",0]
["| Variable | Description |\n| --- | --- |\n| cHdfsReadCost<br>cHdfsWriteCost<br>cLocalIOCost<br>cNetworkCost | ThecostforreadingfromHDFS<br>ThecostforwritingtoHDFS<br>ThecostforperformingI/Ofromthelocaldisk<br>Thenetworktransferringcost |","| cMapCPUCost<br>cReduceCPUCost<br>cCombineCPUCost | TheCPUcostforexecutingthemapfunction<br>TheCPUcostforexecutingthereducefunction<br>TheCPUcostforexecutingthecombinefunction |\n| --- | --- |\n| cPartitionCPUCost<br>cSerdeCPUCost<br>cSortCPUCost<br>cMergeCPUCost | TheCPUcostforpartitioning<br>TheCPUcostforserialization<br>TheCPUcostforsortingonkeys<br>TheCPUcostformerging |\n| cInUncomprCPUCost<br>cIntermUncomprCPUCost<br>cIntermComprCPUCost<br>cOutComprCPUCost | TheCPUcostforuncompressingtheinputdata<br>TheCPUcostforuncompressingtheintermediatedata<br>TheCPUcostforcompressingtheintermediatedata<br>TheCPUcostforcompressingtheoutputdata |",1]
["| Variable | Description |\n| --- | --- |\n| cHdfsReadCost<br>cHdfsWriteCost<br>cLocalIOCost<br>cNetworkCost | ThecostforreadingfromHDFS<br>ThecostforwritingtoHDFS<br>ThecostforperformingI/Ofromthelocaldisk<br>Thenetworktransferringcost |","| nSM | totalnumberofSMontheGPUchip |\n| --- | --- |\n| nV | numberofvector-unitsperSM |\n| RVU | kBofregisterﬁlespervector-unit |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |\n| Acache | totalcachediearea |\n| Aoh | totalon-chipoverheaddiearea |\n| ALSU | totalload-storeunitdiearea |\n| ASFU | totalspecial-functionunitdiearea |\n| AFDU | totalfetch-decodeunitdiearea |\n| AIcache | totalinstruction-cachediearea |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.268<br>14.89014.575<br>1.1061.053<br>4.7514.653<br>20.94819.972 | 0.5812.21.254<br>3.7104.011.836<br>0.4572.41.116<br>1.2913.74.756<br>4.4664.718.034 | 0.7821.7<br>3.1644.7<br>0.5022.2<br>1.2523.8<br>4.4274.7 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2831.260<br>14.35613.994<br>1.0561.058<br>4.7344.503<br>19.99719.244 | 0.5032.61.341<br>3.5404.112.216<br>0.4782.21.055<br>1.3423.54.381<br>5.1603.916.887 | 0.6472.0<br>2.9024.9<br>0.5172.0<br>1.7992.6<br>4.7184.2 |","| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.268<br>14.89014.575<br>1.1061.053<br>4.7514.653<br>20.94819.972 | 0.5812.21.254<br>3.7104.011.836<br>0.4572.41.116<br>1.2913.74.756<br>4.4664.718.034 | 0.7821.7<br>3.1644.7<br>0.5022.2<br>1.2523.8<br>4.4274.7 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2831.260<br>14.35613.994<br>1.0561.058<br>4.7344.503<br>19.99719.244 | 0.5032.61.341<br>3.5404.112.216<br>0.4782.21.055<br>1.3423.54.381<br>5.1603.916.887 | 0.6472.0<br>2.9024.9<br>0.5172.0<br>1.7992.6<br>4.7184.2 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.267<br>14.88414.574<br>1.1061.052<br>4.7514.653<br>20.94719.971 | 0.5362.40.929<br>3.6144.17.481<br>0.4232.60.608<br>1.2333.94.254<br>4.3024.910.399 | 0.6761.9<br>2.8965.1<br>0.4362.5<br>1.0694.4<br>4.1195.1 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2821.260<br>14.34913.993<br>1.0561.058<br>4.7334.503<br>19.98919.233 | 0.4662.81.092<br>3.4294.29.069<br>0.4072.60.621<br>1.2943.72.840<br>4.8624.19.264 | 0.5682.3<br>2.6995.3<br>0.4062.6<br>1.3683.5<br>4.2794.7 |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2901.211<br>14.73214.026<br>1.0710.967<br>4.6694.515<br>20.65519.030 | 0.3443.70.734<br>3.1534.78.399<br>0.3553.01.102<br>1.1384.12.498<br>3.9335.39.265 | 0.7341.8<br>3.0964.8<br>0.5312.0<br>1.2943.6<br>3.8355.4 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.88914.793<br>1.0631.058<br>4.5964.631<br>19.12919.659 | 0.6092.00.762<br>3.8203.66.676<br>0.3992.71.182<br>1.1214.13.654<br>4.6134.110.233 | 0.7321.6<br>3.1174.5<br>0.5751.8<br>1.4053.3<br>3.9554.8 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.268<br>14.89014.575<br>1.1061.053<br>4.7514.653<br>20.94819.972 | 0.5812.21.254<br>3.7104.011.836<br>0.4572.41.116<br>1.2913.74.756<br>4.4664.718.034 | 0.7821.7<br>3.1644.7<br>0.5022.2<br>1.2523.8<br>4.4274.7 |","| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2831.260<br>14.35613.994<br>1.0561.058<br>4.7344.503<br>19.99719.244 | 0.5032.61.341<br>3.5404.112.216<br>0.4782.21.055<br>1.3423.54.381<br>5.1603.916.887 | 0.6472.0<br>2.9024.9<br>0.5172.0<br>1.7992.6<br>4.7184.2 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.268<br>14.89014.575<br>1.1061.053<br>4.7514.653<br>20.94819.972 | 0.5812.21.254<br>3.7104.011.836<br>0.4572.41.116<br>1.2913.74.756<br>4.4664.718.034 | 0.7821.7<br>3.1644.7<br>0.5022.2<br>1.2523.8<br>4.4274.7 |","| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2821.260<br>14.34913.993<br>1.0561.058<br>4.7334.503<br>19.98919.233 | 0.4662.81.092<br>3.4294.29.069<br>0.4072.60.621<br>1.2943.72.840<br>4.8624.19.264 | 0.5682.3<br>2.6995.3<br>0.4062.6<br>1.3683.5<br>4.2794.7 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2901.211<br>14.73214.026<br>1.0710.967<br>4.6694.515<br>20.65519.030 | 0.3443.70.734<br>3.1534.78.399<br>0.3553.01.102<br>1.1384.12.498<br>3.9335.39.265 | 0.7341.8<br>3.0964.8<br>0.5312.0<br>1.2943.6<br>3.8355.4 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.88914.793<br>1.0631.058<br>4.5964.631<br>19.12919.659 | 0.6092.00.762<br>3.8203.66.676<br>0.3992.71.182<br>1.1214.13.654<br>4.6134.110.233 | 0.7321.6<br>3.1174.5<br>0.5751.8<br>1.4053.3<br>3.9554.8 |",0]
["|  | P(a,a) | P(a,b) | P(a,c) | P(b,a) | P(b,b) | P(b,c) | P(c,a) | P(c,b) | P(x,x) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |","| 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |\n| 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |\n| 5 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |",1]
["|  | P(a,a) | P(a,b) | P(a,c) | P(b,a) | P(b,b) | P(b,c) | P(c,a) | P(c,b) | P(x,x) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |","|  | P(a,a,b) | P(a,b,a) | P(a,b,b) | P(a,b,c) | P(a,c,a) | P(a,c,b) | P(b,a,b) | P(b,b,a) | P(b,c,a) | P(b,c,b) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |\n| 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| 4 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |\n| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |",0]
["|  | P(a,a) | P(a,b) | P(a,c) | P(b,a) | P(b,b) | P(b,c) | P(c,a) | P(c,b) | P(x,x) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |","| 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |\n| 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |\n| 5 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |",1]
["|  | P(a,a) | P(a,b) | P(a,c) | P(b,a) | P(b,b) | P(b,c) | P(c,a) | P(c,b) | P(x,x) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |","| 4 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.71 | 0.43 | 0.54 |\n| StradVision-2 | 0.77 | 0.37 | 0.50 |\n| StradVision-1 | 0.53 | 0.46 | 0.50 |\n| NJUText | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |","| HUSTMCLAB | 0.44 | 0.38 | 0.41 |\n| --- | --- | --- | --- |\n| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.71 | 0.43 | 0.54 |\n| StradVision-2 | 0.77 | 0.37 | 0.50 |\n| StradVision-1 | 0.53 | 0.46 | 0.50 |\n| NJUText | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Megvii-Image++ | 0.724 | 0.5696 | 0.6376 |\n| Stradvision-2 | 0.7746 | 0.3674 | 0.4984 |\n| Stradvision-1 | 0.5339 | 0.4627 | 0.4957 |\n| NJU | 0.7044 | 0.3625 | 0.4787 |\n| AJOU | 0.4726 | 0.4694 | 0.471 |\n| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |\n| Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 |\n| CNNMSER | 0.3471 | 0.3442 | 0.3457 |\n| TextCatcher-2 | 0.2491 | 0.3481 | 0.2904 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.71 | 0.43 | 0.54 |","| StradVision-2 | 0.77 | 0.37 | 0.50 |\n| --- | --- | --- | --- |\n| StradVision-1 | 0.53 | 0.46 | 0.50 |\n| NJUText | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |\n| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.71 | 0.43 | 0.54 |","| AJOU | 0.4726 | 0.4694 | 0.471 |\n| --- | --- | --- | --- |\n| HUST-MCLAB | 0.44 | 0.3779 | 0.4066 |\n| Deep2Text-MO | 0.4959 | 0.3211 | 0.3898 |\n| CNNMSER | 0.3471 | 0.3442 | 0.3457 |\n| TextCatcher-2 | 0.2491 | 0.3481 | 0.2904 |",0]
["| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |","| 30 | 465 | 141.6 | 0.30 |\n| --- | --- | --- | --- |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",1]
["| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |","|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |","| 36 | 666 | 445.4 | 0.67 |\n| --- | --- | --- | --- |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",1]
["| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |","| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| Entity | Categorization | Conditions |\n| --- | --- | --- |\n| EndofSπ(j−1),i | collinear(1) | q=pj−1i−1<br>q=pj+1i+1 |\n| left(2) | q∈Ij−1<br>(q∈III)∧(p∈II)j−1i−2<br>(q∈IV)∧(p∈II)j−1i+2 |  |\n| right(3) | q∈IIj−1<br>(q∈III)∧(p∈I)j−1i−2<br>(q∈IV)∧(p∈I)j−1i+2 |  |","| BeginningofSi,π(j+1) | collinear(1) | q=pj−1i−1<br>q=pj+1i+1 |\n| --- | --- | --- |\n| left(2) | q∈Ij+1<br>(q∈III)∧(p∈II)j+1i−2<br>(q∈IV)∧(p∈II)j+1i+2 |  |\n| right(3) | q∈IIj+1<br>(q∈III)∧(p∈I)j+1i−2<br>(q∈IV)∧(p∈I)j+1i+2 |  |",1]
["| Entity | Categorization | Conditions |\n| --- | --- | --- |\n| EndofSπ(j−1),i | collinear(1) | q=pj−1i−1<br>q=pj+1i+1 |\n| left(2) | q∈Ij−1<br>(q∈III)∧(p∈II)j−1i−2<br>(q∈IV)∧(p∈II)j−1i+2 |  |\n| right(3) | q∈IIj−1<br>(q∈III)∧(p∈I)j−1i−2<br>(q∈IV)∧(p∈I)j−1i+2 |  |","|  | k=3 | k=4 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | q | r | t | q | r | t | q |\n| 1 | 3x−1 | 3x+3x+1 | −3x−1 | x+x+1 | x+2x+2 | −x | x+1 |\n| 2 | 2x+x+1<br>2<br>14x+3x−1<br>2<br>14x+17x+4 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−7x−2<br>7x+3 | 4x+2x+1 | 2x+2x+1 | −2x | 2x+x+2<br>2<br>6x+3x+1 |\n| 3 | 3x+2x+2 | x+x+1 | −x | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2 | −x<br>−5x−1<br>−5x−2 | 3x+2x+3<br>2<br>9x+6x+2<br>2<br>21x+8x+1<br>2<br>21x+22x+6 |\n| 4 | 4x+3x+3<br>2<br>12x+9x+2<br>2<br>28x+13x+1<br>2<br>28x+27x+6 | x+x+1<br>2<br>3x+3x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−3x−1<br>−7x−2<br>7x+3 | 8x+6x+3 | 2x+2x+1 | −2x | 4x+3x+4<br>2<br>28x+13x+2<br>2<br>28x+27x+7<br>2<br>52x+15x+1<br>2<br>52x+41x+8 |\n| 5 | 5x+4x+4<br>2<br>35x+18x+2<br>2<br>35x+32x+7<br>2<br>65x+22x+1<br>2<br>65x+48x+8<br>2<br>95x+56x+7<br>2<br>95x+94x+22 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3 | −x<br>−7x−2<br>7x+3<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8 | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7<br>2<br>65x+37x+5<br>2<br>65x+63x+15<br>2<br>85x+23x+1<br>2<br>85x+57x+9 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2<br>2<br>13x+10x+2<br>2<br>13x+10x+2<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −x<br>−5x−1<br>−5x−2<br>−13x−4<br>13x+6<br>−17x−3<br>17x+5 | 5x+4x+5<br>2<br>15x+12x+4<br>2<br>35x+18x+3<br>2<br>35x+32x+8<br>2<br>65x+22x+2<br>2<br>65x+48x+9<br>2<br>95x+56x+8<br>2<br>95x+94x+23 |\n| 6 | 6x+5x+5<br>2<br>18x+15+4<br>2<br>78x+29x+2<br>2<br>78x+55x+9<br>2<br>114x+71x+10<br>2<br>114x+109x+25<br>2<br>126x+33x+1<br>2<br>126x+75x+10 | x+x+1<br>2<br>3x+3x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3<br>2<br>21x+9x+1<br>2<br>21x+9x+1 | −x<br>−3x−1<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8<br>−21x−4<br>21x+5 | 12x+10x+5<br>2<br>60x+26x+3<br>2<br>60x+46x+9<br>2<br>102x+31x+2<br>2<br>102x+65x+10 | 2x+2x+1<br>2<br>10x+6x+1<br>2<br>10x+6x+1<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −2x<br>−10x−2<br>10x+4<br>−17x−3<br>17x+5 | 6x+5x+6<br>2<br>18x+15x+5<br>2<br>42x+23x+4<br>2<br>42x+37x+9<br>2<br>78x+29x+3<br>2<br>78x+55x+10 |",0]
["| Entity | Categorization | Conditions |\n| --- | --- | --- |\n| EndofSπ(j−1),i | collinear(1) | q=pj−1i−1<br>q=pj+1i+1 |\n| left(2) | q∈Ij−1<br>(q∈III)∧(p∈II)j−1i−2<br>(q∈IV)∧(p∈II)j−1i+2 |  |","| right(3) | q∈IIj−1<br>(q∈III)∧(p∈I)j−1i−2<br>(q∈IV)∧(p∈I)j−1i+2 |  |\n| --- | --- | --- |\n| BeginningofSi,π(j+1) | collinear(1) | q=pj−1i−1<br>q=pj+1i+1 |\n| left(2) | q∈Ij+1<br>(q∈III)∧(p∈II)j+1i−2<br>(q∈IV)∧(p∈II)j+1i+2 |  |\n| right(3) | q∈IIj+1<br>(q∈III)∧(p∈I)j+1i−2<br>(q∈IV)∧(p∈I)j+1i+2 |  |",1]
["| Entity | Categorization | Conditions |\n| --- | --- | --- |\n| EndofSπ(j−1),i | collinear(1) | q=pj−1i−1<br>q=pj+1i+1 |\n| left(2) | q∈Ij−1<br>(q∈III)∧(p∈II)j−1i−2<br>(q∈IV)∧(p∈II)j−1i+2 |  |","| 2 | 2x+x+1<br>2<br>14x+3x−1<br>2<br>14x+17x+4 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−7x−2<br>7x+3 | 4x+2x+1 | 2x+2x+1 | −2x | 2x+x+2<br>2<br>6x+3x+1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 3x+2x+2 | x+x+1 | −x | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2 | −x<br>−5x−1<br>−5x−2 | 3x+2x+3<br>2<br>9x+6x+2<br>2<br>21x+8x+1<br>2<br>21x+22x+6 |\n| 4 | 4x+3x+3<br>2<br>12x+9x+2<br>2<br>28x+13x+1<br>2<br>28x+27x+6 | x+x+1<br>2<br>3x+3x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1 | −x<br>−3x−1<br>−7x−2<br>7x+3 | 8x+6x+3 | 2x+2x+1 | −2x | 4x+3x+4<br>2<br>28x+13x+2<br>2<br>28x+27x+7<br>2<br>52x+15x+1<br>2<br>52x+41x+8 |\n| 5 | 5x+4x+4<br>2<br>35x+18x+2<br>2<br>35x+32x+7<br>2<br>65x+22x+1<br>2<br>65x+48x+8<br>2<br>95x+56x+7<br>2<br>95x+94x+22 | x+x+1<br>2<br>7x+5x+1<br>2<br>7x+5x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3 | −x<br>−7x−2<br>7x+3<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8 | 5x+9x+9<br>2<br>25x+15x+3<br>2<br>25x+25x+7<br>2<br>65x+37x+5<br>2<br>65x+63x+15<br>2<br>85x+23x+1<br>2<br>85x+57x+9 | x+2x+2<br>2<br>5x+4x+1<br>2<br>5x+6x+2<br>2<br>13x+10x+2<br>2<br>13x+10x+2<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −x<br>−5x−1<br>−5x−2<br>−13x−4<br>13x+6<br>−17x−3<br>17x+5 | 5x+4x+5<br>2<br>15x+12x+4<br>2<br>35x+18x+3<br>2<br>35x+32x+8<br>2<br>65x+22x+2<br>2<br>65x+48x+9<br>2<br>95x+56x+8<br>2<br>95x+94x+23 |\n| 6 | 6x+5x+5<br>2<br>18x+15+4<br>2<br>78x+29x+2<br>2<br>78x+55x+9<br>2<br>114x+71x+10<br>2<br>114x+109x+25<br>2<br>126x+33x+1<br>2<br>126x+75x+10 | x+x+1<br>2<br>3x+3x+1<br>2<br>13x+7x+1<br>2<br>13x+7x+1<br>2<br>19x+15x+3<br>2<br>19x+15x+3<br>2<br>21x+9x+1<br>2<br>21x+9x+1 | −x<br>−3x−1<br>−13x−3<br>13x+4<br>−19x−7<br>19x+8<br>−21x−4<br>21x+5 | 12x+10x+5<br>2<br>60x+26x+3<br>2<br>60x+46x+9<br>2<br>102x+31x+2<br>2<br>102x+65x+10 | 2x+2x+1<br>2<br>10x+6x+1<br>2<br>10x+6x+1<br>2<br>17x+8x+1<br>2<br>17x+8x+1 | −2x<br>−10x−2<br>10x+4<br>−17x−3<br>17x+5 | 6x+5x+6<br>2<br>18x+15x+5<br>2<br>42x+23x+4<br>2<br>42x+37x+9<br>2<br>78x+29x+3<br>2<br>78x+55x+10 |",0]
["| n | n-k | m | q | d | t | r’ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |\n| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |\n| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |","| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 |",1]
["| n | n-k | m | q | d | t | r’ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |\n| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |\n| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |","| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| --- | --- | --- | --- | --- |\n| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |\n| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |\n| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |\n| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |\n| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |\n| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",0]
["| n | n-k | m | q | d | t | r’ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |","| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |\n| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |\n| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 |",1]
["| n | n-k | m | q | d | t | r’ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |","| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| --- | --- | --- | --- | --- |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |\n| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |\n| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |\n| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |\n| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",0]
["| Method | N | E | C |\n| --- | --- | --- | --- |\n| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |\n| mLSTM | 81.6 | 91.6 | 87.4 |","| word-wordattentionandaggregation | 83.7 | 92.1 | 86.7 |\n| --- | --- | --- | --- |\n| Ourmodelwithbi-LSTMencoders | 84.3 | 90.6 | 86.9 |\n| Ourmodelwithbtree-LSTMencoders | 84.8 | 93.2 | 87.4 |",1]
["| Method | N | E | C |\n| --- | --- | --- | --- |\n| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |\n| mLSTM | 81.6 | 91.6 | 87.4 |","| Reference | Lexicon | LM | CH | SW |\n| --- | --- | --- | --- | --- |\n| Current | N | N | 26.4 | 17.2 |\n| Current | N | CharNG | 21.8 | 13.8 |\n| (ensemble) | Y | WordNG | 19.3 | 12.6 |\n| Current | Y | WordNG | 18.7 | 11.3 |\n| Current | Y | WordRNN | 17.7 | 10.2 |",0]
["| Method | N | E | C |\n| --- | --- | --- | --- |\n| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |\n| mLSTM | 81.6 | 91.6 | 87.4 |","| word-wordattentionandaggregation | 83.7 | 92.1 | 86.7 |\n| --- | --- | --- | --- |\n| Ourmodelwithbi-LSTMencoders | 84.3 | 90.6 | 86.9 |\n| Ourmodelwithbtree-LSTMencoders | 84.8 | 93.2 | 87.4 |",1]
["| Method | N | E | C |\n| --- | --- | --- | --- |\n| SPINN-NPencoders | 80.6 | 88.2 | 85.5 |\n| mLSTM | 81.6 | 91.6 | 87.4 |","| Current | Y | WordNG | 18.7 | 11.3 |\n| --- | --- | --- | --- | --- |\n| Current | Y | WordRNN | 17.7 | 10.2 |",0]
["| Numbers | Category0 | Categoryvoid |  |  |\n| --- | --- | --- | --- | --- |\n|  | Passed | Failed | Passed | Failed |","| Twitter | 12,681 | 2,228 | 21,443 | 4,123 |\n| --- | --- | --- | --- | --- |\n| Facebook | 7,586 | 1,287 | 21,715 | 3,579 |\n| Total | 20,267 | 3,515 | 43,158 | 7,702 |",1]
["| Numbers | Category0 | Categoryvoid |  |  |\n| --- | --- | --- | --- | --- |\n|  | Passed | Failed | Passed | Failed |","| Category | Numberoftweets |\n| --- | --- |\n| Totaltweets | 3545 |\n| Tweetsinfavor | 964 |\n| Tweetsagainst | 647 |\n| Neutraltweets | 1934 |",0]
["| Numbers | Category0 | Categoryvoid |  |  |\n| --- | --- | --- | --- | --- |\n|  | Passed | Failed | Passed | Failed |","| Twitter | 12,681 | 2,228 | 21,443 | 4,123 |\n| --- | --- | --- | --- | --- |\n| Facebook | 7,586 | 1,287 | 21,715 | 3,579 |\n| Total | 20,267 | 3,515 | 43,158 | 7,702 |",1]
["| Numbers | Category0 | Categoryvoid |  |  |\n| --- | --- | --- | --- | --- |\n|  | Passed | Failed | Passed | Failed |","| Tweetsinfavor | 964 |\n| --- | --- |\n| Tweetsagainst | 647 |\n| Neutraltweets | 1934 |",0]
["| Name | NumberofEdges | NumberofTriangles |\n| --- | --- | --- |\n| cit-HepTh-dates | 38488 | 1418 |\n| wiki-Vote | 201524 | 608389 |\n| email-Enron | 367662 | 727044 |","| soc-sign-epinions | 1422420 | 4910076 |\n| --- | --- | --- |\n| ﬂickrEdges | 4633896 | 107987357 |\n| web-Google | 8644102 | 13391903 |\n| cit-Patents | 33037894 | 7515023 |",1]
["| Name | NumberofEdges | NumberofTriangles |\n| --- | --- | --- |\n| cit-HepTh-dates | 38488 | 1418 |\n| wiki-Vote | 201524 | 608389 |\n| email-Enron | 367662 | 727044 |","| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| latlon | 1624984 | 1625197 | 1506465 | Identity |\n| lat | 1624984 | 1625192 | 1504469 | Identity |\n| lon | 1625061 | 1625725 | 1504619 | Identity |\n| place | 1741337 | 1741516 | 1504619 | Identity |\n| retweetID | 636455 | 636644 | 627163 | Identity |\n| reuserID | 720624 | 722148 | 676616 | Identity |\n| time | 2020000 | 2020000 | 35176 | Organization |\n| userID | 2020000 | 2020000 | 1711141 | Identity |\n| user | 2020000 | 2020000 | 1711143 | Identity |\n| word | 1976746 | 17180314 | 7838862 | Authority |",0]
["| Name | NumberofEdges | NumberofTriangles |\n| --- | --- | --- |\n| cit-HepTh-dates | 38488 | 1418 |\n| wiki-Vote | 201524 | 608389 |\n| email-Enron | 367662 | 727044 |\n| soc-sign-epinions | 1422420 | 4910076 |\n| ﬂickrEdges | 4633896 | 107987357 |","| web-Google | 8644102 | 13391903 |\n| --- | --- | --- |\n| cit-Patents | 33037894 | 7515023 |",1]
["| Name | NumberofEdges | NumberofTriangles |\n| --- | --- | --- |\n| cit-HepTh-dates | 38488 | 1418 |\n| wiki-Vote | 201524 | 608389 |\n| email-Enron | 367662 | 727044 |\n| soc-sign-epinions | 1422420 | 4910076 |\n| ﬂickrEdges | 4633896 | 107987357 |","| lat | 1624984 | 1625192 | 1504469 | Identity |\n| --- | --- | --- | --- | --- |\n| lon | 1625061 | 1625725 | 1504619 | Identity |\n| place | 1741337 | 1741516 | 1504619 | Identity |\n| retweetID | 636455 | 636644 | 627163 | Identity |\n| reuserID | 720624 | 722148 | 676616 | Identity |\n| time | 2020000 | 2020000 | 35176 | Organization |\n| userID | 2020000 | 2020000 | 1711141 | Identity |\n| user | 2020000 | 2020000 | 1711143 | Identity |\n| word | 1976746 | 17180314 | 7838862 | Authority |",0]
["|  | Omniscient:<br>fulldistances | Agents’ordinalprefs<br>andfacilitylocations | Onlyagents’ordinal<br>prefs(lowerbounds) |\n| --- | --- | --- | --- |\n| Total(Sum)SocialChoice | 1 | 3 | 5(3) |\n| MedianSocialChoice | 1 | 3 | 5(5) |\n| MinWeightBipartiteMatching | 1 | 3 | n(3) |\n| EgalitarianBipartiteMatching | 1 | 3 | -(2) |\n| FacilityLocation | 1.488 | 3.976 | ∞(∞) |","| k-center | 2 | 5 | -(-) |\n| --- | --- | --- | --- |\n| k-median | 2.675 | 6.35 | -(Ω(n)) |",1]
["|  | Omniscient:<br>fulldistances | Agents’ordinalprefs<br>andfacilitylocations | Onlyagents’ordinal<br>prefs(lowerbounds) |\n| --- | --- | --- | --- |\n| Total(Sum)SocialChoice | 1 | 3 | 5(3) |\n| MedianSocialChoice | 1 | 3 | 5(5) |\n| MinWeightBipartiteMatching | 1 | 3 | n(3) |\n| EgalitarianBipartiteMatching | 1 | 3 | -(2) |\n| FacilityLocation | 1.488 | 3.976 | ∞(∞) |","| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |\n| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["|  | Omniscient:<br>fulldistances | Agents’ordinalprefs<br>andfacilitylocations | Onlyagents’ordinal<br>prefs(lowerbounds) |\n| --- | --- | --- | --- |\n| Total(Sum)SocialChoice | 1 | 3 | 5(3) |\n| MedianSocialChoice | 1 | 3 | 5(5) |\n| MinWeightBipartiteMatching | 1 | 3 | n(3) |","| EgalitarianBipartiteMatching | 1 | 3 | -(2) |\n| --- | --- | --- | --- |\n| FacilityLocation | 1.488 | 3.976 | ∞(∞) |\n| k-center | 2 | 5 | -(-) |\n| k-median | 2.675 | 6.35 | -(Ω(n)) |",1]
["|  | Omniscient:<br>fulldistances | Agents’ordinalprefs<br>andfacilitylocations | Onlyagents’ordinal<br>prefs(lowerbounds) |\n| --- | --- | --- | --- |\n| Total(Sum)SocialChoice | 1 | 3 | 5(3) |\n| MedianSocialChoice | 1 | 3 | 5(5) |\n| MinWeightBipartiteMatching | 1 | 3 | n(3) |","| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["|  | 3newslices | 2newslices |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #runs | 1 | 2 | 3 | 4 | 5 |\n| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |","| master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |\n| --- | --- | --- | --- | --- | --- |\n| total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 |",1]
["|  | 3newslices | 2newslices |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #runs | 1 | 2 | 3 | 4 | 5 |\n| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["|  | 3newslices | 2newslices |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #runs | 1 | 2 | 3 | 4 | 5 |","| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |\n| --- | --- | --- | --- | --- | --- |\n| master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |\n| total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 |",1]
["|  | 3newslices | 2newslices |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #runs | 1 | 2 | 3 | 4 | 5 |","| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| --- | --- | --- |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Class | Guptaet.al | RGB | Depth | RGB-D |\n| --- | --- | --- | --- | --- |\n| bedroom | 79 | 79.06 | 78.01 | 82.72 |\n| kitchen | 74 | 65.09 | 60.38 | 75.47 |\n| livingroom | 47 | 73.83 | 33.64 | 75.70 |\n| bathroom | 67 | 89.66 | 81.03 | 96.55 |\n| diningroom | 47 | 96.36 | 50.91 | 96.36 |\n| oﬃce | 24 | 63.16 | 13.16 | 71.05 |\n| homeoﬃce | 8.3 | 70.83 | 0.00 | 62.50 |\n| classroom | 48 | 69.57 | 52.17 | 82.61 |\n| bookstore | 64 | 100.00 | 72.73 | 100.00 |","| others | 15 | 85.37 | 39.02 | 95.12 |\n| --- | --- | --- | --- | --- |\n| meandiag.cm. | 47 | 79.29 | 48.11 | 83.81 |\n| avg.accuracy | 58 | 77.52 | 55.81 | 82.42 |",1]
["| Class | Guptaet.al | RGB | Depth | RGB-D |\n| --- | --- | --- | --- | --- |\n| bedroom | 79 | 79.06 | 78.01 | 82.72 |\n| kitchen | 74 | 65.09 | 60.38 | 75.47 |\n| livingroom | 47 | 73.83 | 33.64 | 75.70 |\n| bathroom | 67 | 89.66 | 81.03 | 96.55 |\n| diningroom | 47 | 96.36 | 50.91 | 96.36 |\n| oﬃce | 24 | 63.16 | 13.16 | 71.05 |\n| homeoﬃce | 8.3 | 70.83 | 0.00 | 62.50 |\n| classroom | 48 | 69.57 | 52.17 | 82.61 |\n| bookstore | 64 | 100.00 | 72.73 | 100.00 |","| category | ours |  |  |\n| --- | --- | --- | --- |\n| bathtub | 0.0152 | 0.0266 | 0.0621 |\n| bed | 0.0068 | 0.0240 | 0.0617 |\n| chair | 0.0118 | 0.0238 | 0.0444 |\n| desk | 0.0122 | 0.0298 | 0.0731 |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |\n| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",0]
["| Class | Guptaet.al | RGB | Depth | RGB-D |\n| --- | --- | --- | --- | --- |\n| bedroom | 79 | 79.06 | 78.01 | 82.72 |\n| kitchen | 74 | 65.09 | 60.38 | 75.47 |\n| livingroom | 47 | 73.83 | 33.64 | 75.70 |\n| bathroom | 67 | 89.66 | 81.03 | 96.55 |","| diningroom | 47 | 96.36 | 50.91 | 96.36 |\n| --- | --- | --- | --- | --- |\n| oﬃce | 24 | 63.16 | 13.16 | 71.05 |\n| homeoﬃce | 8.3 | 70.83 | 0.00 | 62.50 |\n| classroom | 48 | 69.57 | 52.17 | 82.61 |\n| bookstore | 64 | 100.00 | 72.73 | 100.00 |\n| others | 15 | 85.37 | 39.02 | 95.12 |\n| meandiag.cm. | 47 | 79.29 | 48.11 | 83.81 |\n| avg.accuracy | 58 | 77.52 | 55.81 | 82.42 |",1]
["| Class | Guptaet.al | RGB | Depth | RGB-D |\n| --- | --- | --- | --- | --- |\n| bedroom | 79 | 79.06 | 78.01 | 82.72 |\n| kitchen | 74 | 65.09 | 60.38 | 75.47 |\n| livingroom | 47 | 73.83 | 33.64 | 75.70 |\n| bathroom | 67 | 89.66 | 81.03 | 96.55 |","| desk | 0.0122 | 0.0298 | 0.0731 |\n| --- | --- | --- | --- |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |\n| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",0]
["| GraphMotif | Static<br>SubgraphsTime | δ=1hour<br>SubgraphsTimeSpeedUp |\n| --- | --- | --- |\n| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x |\n| Email-EuM1<br>Email-EuM2<br>Email-EuM3<br>Email-EuM4<br>Email-EuM5<br>Email-EuM6 | 3.96K33.5<br>367K91.4<br>12.0K40.1<br>5544.99<br>57.7M7.18K<br>7.08M1.54K | 2581.1429.4x<br>30.1K1.8050.9x<br>4931.1534.7x<br>231.094.57x<br>4.71M13154.9x<br>31.1K2.45627x |\n| GraphMotif | Static<br>SubgraphsTime | δ=1day<br>SubgraphsTimeSpeedUp |","| MathOverﬂowM1<br>MathOverﬂowM2<br>MathOverﬂowM3<br>MathOverﬂowM4<br>MathOverﬂowM5<br>MathOverﬂowM6 | 1.42M2.94K<br>218M11.4K<br>5.53M4.02K<br>285K2.34K<br>—>24hr<br>—>24hr | 20.0012.94Mx<br>2480.015760Kx<br>40.0014.02Mx<br>00.015156Kx<br>8050.031>2.79Mx<br>1.70K0.062>1.39Mx |\n| --- | --- | --- |\n| EnronM1<br>EnronM2<br>EnronM3<br>EnronM4<br>EnronM5<br>EnronM6 | 246K1.21K<br>119M4.51K<br>1.71M1.62K<br>33.3K55.6<br>—>24hr<br>—>24hr | 20.04626.3Kx<br>1.21K0.07857.9Kx<br>20.04734.4Kx<br>00.0471.18Kx<br>12.6M333>259x<br>2.33K0.28>309Kx |",1]
["| GraphMotif | Static<br>SubgraphsTime | δ=1hour<br>SubgraphsTimeSpeedUp |\n| --- | --- | --- |\n| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x |\n| Email-EuM1<br>Email-EuM2<br>Email-EuM3<br>Email-EuM4<br>Email-EuM5<br>Email-EuM6 | 3.96K33.5<br>367K91.4<br>12.0K40.1<br>5544.99<br>57.7M7.18K<br>7.08M1.54K | 2581.1429.4x<br>30.1K1.8050.9x<br>4931.1534.7x<br>231.094.57x<br>4.71M13154.9x<br>31.1K2.45627x |\n| GraphMotif | Static<br>SubgraphsTime | δ=1day<br>SubgraphsTimeSpeedUp |","| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| GraphMotif | Static<br>SubgraphsTime | δ=1hour<br>SubgraphsTimeSpeedUp |\n| --- | --- | --- |\n| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x |","| Email-EuM1<br>Email-EuM2<br>Email-EuM3<br>Email-EuM4<br>Email-EuM5<br>Email-EuM6 | 3.96K33.5<br>367K91.4<br>12.0K40.1<br>5544.99<br>57.7M7.18K<br>7.08M1.54K | 2581.1429.4x<br>30.1K1.8050.9x<br>4931.1534.7x<br>231.094.57x<br>4.71M13154.9x<br>31.1K2.45627x |\n| --- | --- | --- |\n| GraphMotif | Static<br>SubgraphsTime | δ=1day<br>SubgraphsTimeSpeedUp |\n| MathOverﬂowM1<br>MathOverﬂowM2<br>MathOverﬂowM3<br>MathOverﬂowM4<br>MathOverﬂowM5<br>MathOverﬂowM6 | 1.42M2.94K<br>218M11.4K<br>5.53M4.02K<br>285K2.34K<br>—>24hr<br>—>24hr | 20.0012.94Mx<br>2480.015760Kx<br>40.0014.02Mx<br>00.015156Kx<br>8050.031>2.79Mx<br>1.70K0.062>1.39Mx |\n| EnronM1<br>EnronM2<br>EnronM3<br>EnronM4<br>EnronM5<br>EnronM6 | 246K1.21K<br>119M4.51K<br>1.71M1.62K<br>33.3K55.6<br>—>24hr<br>—>24hr | 20.04626.3Kx<br>1.21K0.07857.9Kx<br>20.04734.4Kx<br>00.0471.18Kx<br>12.6M333>259x<br>2.33K0.28>309Kx |",1]
["| GraphMotif | Static<br>SubgraphsTime | δ=1hour<br>SubgraphsTimeSpeedUp |\n| --- | --- | --- |\n| CollegeMSGM1<br>CollegeMSGM2<br>CollegeMSGM3<br>CollegeMSGM4<br>CollegeMSGM5<br>CollegeMSGM6 | 87618.8<br>238K43.2<br>1.57K19.3<br>482.18<br>202M9.88K<br>10.9M2.02K | 3.46K0.54634.5x<br>75.4K2.0421.1x<br>1.06K0.49938.6x<br>00.2967.38x<br>1.28M35.1281x<br>227K6.74300x |","| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| --- | --- | --- | --- |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |","| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| --- |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |","| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |","| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| --- |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |","| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| --- |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["| Algorithms | Memory(MB) |\n| --- | --- |\n| VGG | 2459.8 |\n| SSDGoogleNet | 320.4 |","| SqueezeNet | 145.3 |\n| --- | --- |\n| MobileNet | 172.2 |\n| L-CNN | 139.5 |",1]
["| Algorithms | Memory(MB) |\n| --- | --- |\n| VGG | 2459.8 |\n| SSDGoogleNet | 320.4 |","| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |\n| VGG16 | 224×224 | 10 |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| Algorithms | Memory(MB) |\n| --- | --- |\n| VGG | 2459.8 |","| SSDGoogleNet | 320.4 |\n| --- | --- |\n| SqueezeNet | 145.3 |\n| MobileNet | 172.2 |\n| L-CNN | 139.5 |",1]
["| Algorithms | Memory(MB) |\n| --- | --- |\n| VGG | 2459.8 |","| SqueezeNet | 224×224 | 2.5 |\n| --- | --- | --- |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["|  | SDR(dB) | SIR(dB) | SAR(dB) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep |","| Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Example3×5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |\n| Example4×8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 |",1]
["|  | SDR(dB) | SIR(dB) | SAR(dB) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep |","|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["|  | SDR(dB) | SIR(dB) | SAR(dB) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep |","| Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Example3×5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |\n| Example4×8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 |",1]
["|  | SDR(dB) | SIR(dB) | SAR(dB) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep |","| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["| UL<br>GN |\n| --- |\n| UL<br>GN |\n| UL<br>GN |","| UL<br>GN |\n| --- |\n| UL<br>GN |",1]
["| UL<br>GN |\n| --- |\n| UL<br>GN |\n| UL<br>GN |","|  |\n| --- |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |",0]
["| UL<br>GN |\n| --- |\n| UL<br>GN |\n| UL<br>GN |","| UL<br>GN |\n| --- |\n| UL<br>GN |",1]
["| UL<br>GN |\n| --- |\n| UL<br>GN |\n| UL<br>GN |","| SL<br>DRL |\n| --- |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |",0]
["| Class(Tissuetype) | T<br>Labely |\n| --- | --- |\n| class1(BK) | (1,0,0,0,0) |","| class2(LP) | (0,1,0,0,0) |\n| --- | --- |\n| class3(FT) | (0,0,1,0,0) |\n| class4(MT) | (0,0,0,1,0) |\n| class5(CA) | (0,0,0,0,1) |",1]
["| Class(Tissuetype) | T<br>Labely |\n| --- | --- |\n| class1(BK) | (1,0,0,0,0) |","| TypeofLesion | Class |\n| --- | --- |\n| Healthy/NoLesionandBackground | 0 |\n| NecroticRegion | 1 |\n| Edema | 2 |\n| NonEnhancingTumor | 3 |\n| EnhancingTumor | 4 |",0]
["| Class(Tissuetype) | T<br>Labely |\n| --- | --- |\n| class1(BK) | (1,0,0,0,0) |\n| class2(LP) | (0,1,0,0,0) |\n| class3(FT) | (0,0,1,0,0) |","| class4(MT) | (0,0,0,1,0) |\n| --- | --- |\n| class5(CA) | (0,0,0,0,1) |",1]
["| Class(Tissuetype) | T<br>Labely |\n| --- | --- |\n| class1(BK) | (1,0,0,0,0) |\n| class2(LP) | (0,1,0,0,0) |\n| class3(FT) | (0,0,1,0,0) |","| NonEnhancingTumor | 3 |\n| --- | --- |\n| EnhancingTumor | 4 |",0]
["|  | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |\n| --- | --- | --- |\n| FormoftheGame | Extensive | Extensive |\n| PerfectInformation | Yes | Yes |\n| Numberofplayers | Any | Any |\n| NewcombChoice | Twoboxes | Onebox |\n| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(“couldhave<br>beenwrong”) | PerfectPrediction<br>(“wouldalso<br>havebeenright”) |\n| RelationshipwiththePast | Cournot-like | Stackelberg-like |\n| Reasoning | BackwardInduction | ForwardInduction |\n| Indiﬀerencebetweenpayoﬀs | Allowed | Notallowedinprinciple |","| Existence | Always | Always |\n| --- | --- | --- |\n| Uniqueness | Always | Always |\n| Optimality | - | Pareto |\n| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) |",1]
["|  | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |\n| --- | --- | --- |\n| FormoftheGame | Extensive | Extensive |\n| PerfectInformation | Yes | Yes |\n| Numberofplayers | Any | Any |\n| NewcombChoice | Twoboxes | Onebox |\n| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(“couldhave<br>beenwrong”) | PerfectPrediction<br>(“wouldalso<br>havebeenright”) |\n| RelationshipwiththePast | Cournot-like | Stackelberg-like |\n| Reasoning | BackwardInduction | ForwardInduction |\n| Indiﬀerencebetweenpayoﬀs | Allowed | Notallowedinprinciple |","| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |\n| --- | --- | --- | --- | --- | --- |\n| 1.Labels | Yes | No | Yes | Yes | No |\n| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |\n| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |\n| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |\n| 5.CompetingCascades | Yes | No | No | Yes | Yes |\n| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |\n| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard |",0]
["|  | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |\n| --- | --- | --- |\n| FormoftheGame | Extensive | Extensive |\n| PerfectInformation | Yes | Yes |\n| Numberofplayers | Any | Any |\n| NewcombChoice | Twoboxes | Onebox |\n| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(“couldhave<br>beenwrong”) | PerfectPrediction<br>(“wouldalso<br>havebeenright”) |\n| RelationshipwiththePast | Cournot-like | Stackelberg-like |\n| Reasoning | BackwardInduction | ForwardInduction |\n| Indiﬀerencebetweenpayoﬀs | Allowed | Notallowedinprinciple |\n| Existence | Always | Always |","| Uniqueness | Always | Always |\n| --- | --- | --- |\n| Optimality | - | Pareto |\n| Corresponding<br>NormalForm | Nash<br>(subsuming) | Superrationality(notestablished/<br>conceptuallysimilar) |",1]
["|  | SubgamePerfect<br>Equilibrium | PerfectPrediction<br>Equilibrium |\n| --- | --- | --- |\n| FormoftheGame | Extensive | Extensive |\n| PerfectInformation | Yes | Yes |\n| Numberofplayers | Any | Any |\n| NewcombChoice | Twoboxes | Onebox |\n| PredictionModel<br>accountingfor<br>counterfactuals | Ad-HocPrediction<br>(“couldhave<br>beenwrong”) | PerfectPrediction<br>(“wouldalso<br>havebeenright”) |\n| RelationshipwiththePast | Cournot-like | Stackelberg-like |\n| Reasoning | BackwardInduction | ForwardInduction |\n| Indiﬀerencebetweenpayoﬀs | Allowed | Notallowedinprinciple |\n| Existence | Always | Always |","| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |\n| --- | --- | --- | --- | --- | --- |\n| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |\n| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |\n| 5.CompetingCascades | Yes | No | No | Yes | Yes |\n| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |\n| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard |",0]
["| category | ours |  |  |\n| --- | --- | --- | --- |\n| bathtub | 0.0152 | 0.0266 | 0.0621 |\n| bed | 0.0068 | 0.0240 | 0.0617 |","| chair | 0.0118 | 0.0238 | 0.0444 |\n| --- | --- | --- | --- |\n| desk | 0.0122 | 0.0298 | 0.0731 |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |\n| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",1]
["| category | ours |  |  |\n| --- | --- | --- | --- |\n| bathtub | 0.0152 | 0.0266 | 0.0621 |\n| bed | 0.0068 | 0.0240 | 0.0617 |","| category | ours |  |  |  |\n| --- | --- | --- | --- | --- |\n| bathtub | 0.8348 | 0.7017 | 0.7190 | 0.1644 |\n| bed | 0.9202 | 0.7775 | 0.3963 | 0.3239 |\n| chair | 0.9920 | 0.9700 | 0.9892 | 0.8482 |\n| desk | 0.8203 | 0.7936 | 0.8145 | 0.1068 |\n| dresser | 0.7678 | 0.6314 | 0.7010 | 0.2166 |\n| monitor | 0.9473 | 0.2493 | 0.8559 | 0.2767 |\n| nightstand | 0.7195 | 0.6853 | 0.6592 | 0.4969 |\n| sofa | 0.9480 | 0.9276 | 0.3017 | 0.4888 |\n| table | 0.8910 | 0.8377 | 0.8751 | 0.7902 |\n| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |\n| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 |",0]
["| category | ours |  |  |\n| --- | --- | --- | --- |\n| bathtub | 0.0152 | 0.0266 | 0.0621 |\n| bed | 0.0068 | 0.0240 | 0.0617 |\n| chair | 0.0118 | 0.0238 | 0.0444 |\n| desk | 0.0122 | 0.0298 | 0.0731 |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |","| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| --- | --- | --- | --- |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",1]
["| category | ours |  |  |\n| --- | --- | --- | --- |\n| bathtub | 0.0152 | 0.0266 | 0.0621 |\n| bed | 0.0068 | 0.0240 | 0.0617 |\n| chair | 0.0118 | 0.0238 | 0.0444 |\n| desk | 0.0122 | 0.0298 | 0.0731 |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |","| table | 0.8910 | 0.8377 | 0.8751 | 0.7902 |\n| --- | --- | --- | --- | --- |\n| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |\n| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 |",0]
["| Facet | Numberofmanually<br>deﬁnedclusters | Hierarchicalclustering | Non-hierarchicalclustering |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Purity | I-Purity | F1 | Purity | I-Purity | F1 |  |  |\n| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |\n| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |\n| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |\n| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |\n| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |\n| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |\n| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 |","| Shutter | 6 | 0.643 | 0.929 | 0.760 | 0.643 | 0.929 | 0.760 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Average | 5.13 | 0.676 | 0.819 | 0.725 | 0.714 | 0.828 | 0.753 |\n| Battery | 3 | 0.824 | 0.765 | 0.793 | 0.765 | 0.706 | 0.734 |\n| Camera | 3 | 0.727 | 0.636 | 0.679 | 0.727 | 0.636 | 0.679 |\n| Headset | 4 | 0.467 | 0.733 | 0.570 | 0.400 | 0.600 | 0.480 |\n| Radio | 3 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 |\n| Service | 5 | 0.438 | 0.875 | 0.583 | 0.563 | 1.000 | 0.720 |\n| Signal | 3 | 0.824 | 0.941 | 0.878 | 0.824 | 0.765 | 0.793 |\n| Size | 3 | 0.760 | 0.680 | 0.718 | 0.920 | 0.680 | 0.782 |\n| Speaker | 4 | 0.684 | 0.895 | 0.775 | 0.684 | 0.789 | 0.733 |\n| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |\n| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |\n| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 |\n| Format | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.571 | 0.727 |\n| Design | 1 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |\n| Service | 1 | 1.000 | 0.739 | 0.850 | 1.000 | 0.522 | 0.686 |\n| Picture | 4 | 0.800 | 0.850 | 0.824 | 0.800 | 0.850 | 0.824 |\n| Average | 2.00 | 0.904 | 0.795 | 0.837 | 0.894 | 0.743 | 0.791 |",1]
["| Facet | Numberofmanually<br>deﬁnedclusters | Hierarchicalclustering | Non-hierarchicalclustering |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Purity | I-Purity | F1 | Purity | I-Purity | F1 |  |  |\n| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |\n| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |\n| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |\n| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |\n| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |\n| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |\n| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 |","|  | 5VirtualLandscapeDatasets | 7VirtualLandscapeDatasets |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N-based | G-based | I-based | N-based | G-based | I-based | N-based |  |\n| Accuracy | 0.9931 | 0.9950 | 0.9927 | 0.9939 | 0.9950 | 0.9930 | 0.9936 |\n| Precision | 0.6154 | 0.7080 | 0.7143 | 0.5820 | 0.7080 | 0.7590 | 0.6939 |\n| Recall | 0.5161 | 0.6452 | 0.4839 | 0.5726 | 0.6452 | 0.5081 | 0.5484 |\n| F-measure | 0.5614 | 0.6751 | 0.5769 | 0.5772 | 0.6751 | 0.6087 | 0.6126 |\n| R.T(second) | 2.74 | 2.67 | 2.41 | 3.29 | 3.30 | 3.44 | 4.69 |\n| M.U(MB) | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 |",0]
["| Facet | Numberofmanually<br>deﬁnedclusters | Hierarchicalclustering | Non-hierarchicalclustering |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Purity | I-Purity | F1 | Purity | I-Purity | F1 |  |  |\n| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |\n| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |\n| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |\n| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |\n| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |\n| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |\n| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 |\n| Shutter | 6 | 0.643 | 0.929 | 0.760 | 0.643 | 0.929 | 0.760 |\n| Average | 5.13 | 0.676 | 0.819 | 0.725 | 0.714 | 0.828 | 0.753 |\n| Battery | 3 | 0.824 | 0.765 | 0.793 | 0.765 | 0.706 | 0.734 |\n| Camera | 3 | 0.727 | 0.636 | 0.679 | 0.727 | 0.636 | 0.679 |\n| Headset | 4 | 0.467 | 0.733 | 0.570 | 0.400 | 0.600 | 0.480 |\n| Radio | 3 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 |\n| Service | 5 | 0.438 | 0.875 | 0.583 | 0.563 | 1.000 | 0.720 |\n| Signal | 3 | 0.824 | 0.941 | 0.878 | 0.824 | 0.765 | 0.793 |\n| Size | 3 | 0.760 | 0.680 | 0.718 | 0.920 | 0.680 | 0.782 |\n| Speaker | 4 | 0.684 | 0.895 | 0.775 | 0.684 | 0.789 | 0.733 |\n| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |\n| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |\n| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 |","| Format | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.571 | 0.727 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Design | 1 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |\n| Service | 1 | 1.000 | 0.739 | 0.850 | 1.000 | 0.522 | 0.686 |\n| Picture | 4 | 0.800 | 0.850 | 0.824 | 0.800 | 0.850 | 0.824 |\n| Average | 2.00 | 0.904 | 0.795 | 0.837 | 0.894 | 0.743 | 0.791 |",1]
["| Facet | Numberofmanually<br>deﬁnedclusters | Hierarchicalclustering | Non-hierarchicalclustering |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Purity | I-Purity | F1 | Purity | I-Purity | F1 |  |  |\n| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |\n| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |\n| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |\n| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |\n| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |\n| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |\n| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 |\n| Shutter | 6 | 0.643 | 0.929 | 0.760 | 0.643 | 0.929 | 0.760 |\n| Average | 5.13 | 0.676 | 0.819 | 0.725 | 0.714 | 0.828 | 0.753 |\n| Battery | 3 | 0.824 | 0.765 | 0.793 | 0.765 | 0.706 | 0.734 |\n| Camera | 3 | 0.727 | 0.636 | 0.679 | 0.727 | 0.636 | 0.679 |\n| Headset | 4 | 0.467 | 0.733 | 0.570 | 0.400 | 0.600 | 0.480 |\n| Radio | 3 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 |\n| Service | 5 | 0.438 | 0.875 | 0.583 | 0.563 | 1.000 | 0.720 |\n| Signal | 3 | 0.824 | 0.941 | 0.878 | 0.824 | 0.765 | 0.793 |\n| Size | 3 | 0.760 | 0.680 | 0.718 | 0.920 | 0.680 | 0.782 |\n| Speaker | 4 | 0.684 | 0.895 | 0.775 | 0.684 | 0.789 | 0.733 |\n| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |\n| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |\n| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 |","| R.T(second) | 2.74 | 2.67 | 2.41 | 3.29 | 3.30 | 3.44 | 4.69 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M.U(MB) | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 |",0]
["| Method | #ofHiddenLayers | #ofHiddenUnits |\n| --- | --- | --- |\n| 1DVector | One | 200;400;600;800;1000 |","| Two | [200,200];[400,400];[600,600];[800,800] |  |\n| --- | --- | --- |\n| 2DConvolving | One | 144;169;196;255;256;289 |\n| Two | [361,100] |  |",1]
["| Method | #ofHiddenLayers | #ofHiddenUnits |\n| --- | --- | --- |\n| 1DVector | One | 200;400;600;800;1000 |","| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=”relu”,padding=”same”) |\n| --- |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| Dense(1024,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(512,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(1,activation=None) |",0]
["| Method | #ofHiddenLayers | #ofHiddenUnits |\n| --- | --- | --- |\n| 1DVector | One | 200;400;600;800;1000 |","| Two | [200,200];[400,400];[600,600];[800,800] |  |\n| --- | --- | --- |\n| 2DConvolving | One | 144;169;196;255;256;289 |\n| Two | [361,100] |  |",1]
["| Method | #ofHiddenLayers | #ofHiddenUnits |\n| --- | --- | --- |\n| 1DVector | One | 200;400;600;800;1000 |","| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| --- |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| Dense(1024,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(512,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(1,activation=None) |",0]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |\n| CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |\n| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |\n| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |\n| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |\n| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 |","| APSynLMI-1000 | 0.32 | 0.29 | 0.259 | 0.241 |\n| --- | --- | --- | --- | --- |\n| APSynLMI-500 | 0.355 | 0.319 | 0.261 | 0.284 |\n| APSynLMI-100 | 0.388 | 0.335 | 0.233 | 0.27 |\n| APSynPPMI-1000 | 0.519 | 0.525 | 0.337 | 0.397 |\n| APSynPPMI-500 | 0.564 | 0.546 | 0.361 | 0.382 |\n| PMIAPSynPPMI-100 | 0.562 | 0.553 | 0.287 | 0.309 |",1]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |\n| CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |\n| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |\n| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |\n| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |\n| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 |","| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.335 | 0.334 | 0.03 | 0.05 |\n| CosLMI | 0.638 | 0.663 | 0.293 | 0.34 |\n| CosPPMI | 0.672 | 0.675 | 0.441 | 0.446 |\n| CosSVD-Freq300 | 0.35 | 0.363 | -0.013 | 0.001 |\n| CosSVD-LMI300 | 0.604 | 0.626 | 0.222 | 0.286 |\n| CosSVD-PPMI300 | 0.72 | 0.725 | 0.444 | 0.486 |\n| APSynLMI-1000 | 0.609 | 0.609 | 0.317 | 0.36 |\n| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |\n| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |\n| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |\n| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |\n| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 |",0]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |","| CosLMI | 0.416 | 0.395 | 0.251 | 0.269 |\n| --- | --- | --- | --- | --- |\n| CosPPMI | 0.52 | 0.496 | 0.378 | 0.396 |\n| CosSVD-Freq300 | 0.240 | 0.214 | 0.051 | 0.084 |\n| CosSVD-LMI300 | 0.418 | 0.393 | 0.141 | 0.151 |\n| CosSVD-PPMI300 | 0.550 | 0.522 | 0.325 | 0.323 |\n| APSynLMI-1000 | 0.32 | 0.29 | 0.259 | 0.241 |\n| APSynLMI-500 | 0.355 | 0.319 | 0.261 | 0.284 |\n| APSynLMI-100 | 0.388 | 0.335 | 0.233 | 0.27 |\n| APSynPPMI-1000 | 0.519 | 0.525 | 0.337 | 0.397 |\n| APSynPPMI-500 | 0.564 | 0.546 | 0.361 | 0.382 |\n| PMIAPSynPPMI-100 | 0.562 | 0.553 | 0.287 | 0.309 |",1]
["| Dataset | WSim(SIM) | WSim(REL) |  |  |\n| --- | --- | --- | --- | --- |\n| Window | 2 | 3 | 2 | 3 |\n| CosFreq | 0.208 | 0.158 | 0.167 | 0.175 |","| APSynLMI-1000 | 0.609 | 0.609 | 0.317 | 0.36 |\n| --- | --- | --- | --- | --- |\n| APSynLMI-500 | 0.599 | 0.601 | 0.289 | 0.344 |\n| APSynLMI-100 | 0.566 | 0.574 | 0.215 | 0.271 |\n| APSynPPMI-1000 | 0.692 | 0.726 | 0.507 | 0.568 |\n| APSynPPMI-500 | 0.699 | 0.742 | 0.508 | 0.571 |\n| APSynPPMI-100 | 0.66 | 0.692 | 0.482 | 0.516 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["|  | 30dB | 20dB | 10dB |\n| --- | --- | --- | --- |\n| DNN-ILD | 3.03±.046 | 3.03±.046 | 3.05±.046 |\n| Linear-ILD | 2.31±.036 | 2.32±.036 | 2.36±.037 |","| DNN-IPD | 0.48±.009 | 0.48±.009 | 0.48±.009 |\n| --- | --- | --- | --- |\n| Linear-IPD | 0.40±.008 | 0.40±.008 | 0.41±.008 |",1]
["|  | 30dB | 20dB | 10dB |\n| --- | --- | --- | --- |\n| DNN-ILD | 3.03±.046 | 3.03±.046 | 3.05±.046 |\n| Linear-ILD | 2.31±.036 | 2.32±.036 | 2.36±.037 |","|  | 1cm | 2cm | 4cm | 8cm |\n| --- | --- | --- | --- | --- |\n| DNN-ILD | 3.01±.044 | 3.03±.046 | 3.10±.047 | 3.23±.049 |\n| Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 |\n| DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 |\n| Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |",0]
["|  | 30dB | 20dB | 10dB |\n| --- | --- | --- | --- |\n| DNN-ILD | 3.03±.046 | 3.03±.046 | 3.05±.046 |\n| Linear-ILD | 2.31±.036 | 2.32±.036 | 2.36±.037 |","| DNN-IPD | 0.48±.009 | 0.48±.009 | 0.48±.009 |\n| --- | --- | --- | --- |\n| Linear-IPD | 0.40±.008 | 0.40±.008 | 0.41±.008 |",1]
["|  | 30dB | 20dB | 10dB |\n| --- | --- | --- | --- |\n| DNN-ILD | 3.03±.046 | 3.03±.046 | 3.05±.046 |\n| Linear-ILD | 2.31±.036 | 2.32±.036 | 2.36±.037 |","| DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 |\n| --- | --- | --- | --- | --- |\n| Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |",0]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)115 | 0.7 |","| (S,S)511 | 0.6 |\n| --- | --- |\n| (S,S)1223 | 0.3 |\n| (S,S)2312 | 0.1 |",1]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)115 | 0.7 |","| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)835 | 0.6 |\n| (S,S)358 | 0.2 |\n| (S,S)1013 | 0.7 |\n| (S,S)1310 | 0.3 |",0]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)115 | 0.7 |\n| (S,S)511 | 0.6 |","| (S,S)1223 | 0.3 |\n| --- | --- |\n| (S,S)2312 | 0.1 |",1]
["| Link | Thedegreeofdependence |\n| --- | --- |\n| (S,S)115 | 0.7 |\n| (S,S)511 | 0.6 |","| (S,S)358 | 0.2 |\n| --- | --- |\n| (S,S)1013 | 0.7 |\n| (S,S)1310 | 0.3 |",0]
["| Rule1 | Rule2 | Rule3 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IG | CC | IG | CC | IG | CC |  |\n| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |\n| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |","| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |\n| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |\n| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |\n| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |",1]
["| Rule1 | Rule2 | Rule3 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IG | CC | IG | CC | IG | CC |  |\n| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |\n| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |","| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 | rule |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 77.80 | 63.41 | 51.43 | 81.72 | 81.49 | 76.23 | 81.41 | 78.60 | 81.49 | 81.49 |\n| 2 | 14.68 | 10.87 | 2.08 | 16.18 | 15.95 | 14.68 | 16.07 | 16.07 | 15.95 | 15.95 |\n| 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |\n| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |\n| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |\n| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |\n| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |\n| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |\n| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |\n| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |\n| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |\n| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |\n| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 |",0]
["| Rule1 | Rule2 | Rule3 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IG | CC | IG | CC | IG | CC |  |\n| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |\n| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |\n| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |\n| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |","| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |\n| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |",1]
["| Rule1 | Rule2 | Rule3 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IG | CC | IG | CC | IG | CC |  |\n| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |\n| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |\n| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |\n| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |","| 3 | 65.94 | 41.16 | 33.62 | 72.75 | 72.75 | 69.06 | 68.98 | 70.48 | 74.17 | 72.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 73.27 | 62.18 | 48.71 | 77.62 | 77.62 | 73.66 | 77.23 | 77.62 | 77.62 | 77.62 |\n| 5 | 27.75 | 18.77 | 17.66 | 28.86 | 28.86 | 21.39 | 29.87 | 28.86 | 28.86 | 28.86 |\n| 6 | 34.16 | 27.87 | 28.61 | 32.68 | 32.43 | 34.28 | 33.54 | 32.31 | 32.43 | 32.43 |\n| 7 | 88.66 | 63.19 | 71.83 | 89.56 | 89.56 | 86.33 | 89.93 | 89.26 | 89.56 | 89.56 |\n| 8 | 65.21 | 48.26 | 33.27 | 67.53 | 67.53 | 46.65 | 69.05 | 68.06 | 67.53 | 67.53 |\n| 9 | 70.90 | 60.00 | 61.90 | 73.18 | 73.18 | 61.99 | 71.09 | 72.70 | 74.41 | 73.18 |\n| 10 | 85.17 | 83.79 | 71.78 | 85.42 | 85.42 | 82.23 | 85.36 | 85.36 | 85.42 | 85.42 |\n| 11 | 62.92 | 43.30 | 48.69 | 68.44 | 66.20 | 64.27 | 64.46 | 66.13 | 66.20 | 66.20 |\n| 12 | 76.93 | 74.76 | 74.68 | 78.36 | 78.36 | 75.13 | 78.21 | 78.14 | 78.36 | 78.36 |\n| 13 | 55.12 | 21.75 | 29.69 | 65.71 | 63.87 | 56.85 | 62.83 | 62.83 | 63.87 | 63.87 |",0]
["| (30,5,24,2−2−2)<br>371816<br>(38,5,32,2−2−2)<br>4321186∗<br>(44,5,38,2−2−2−2)<br>5326216∗<br>(54,5,48,2−2−2−2)<br>5929236∗<br>(60,5,54,2−2−2−2)<br>6934266∗<br>(70,5,64,2−2−2−2)<br>7537286∗<br>(76,5,70,2−2−2−2)<br>8341306∗<br>(84,5,78,2−2−2−2)<br>8944326∗<br>(90,5,84,2−2−2−2)<br>974834326∗<br>(98,5,92,2−2−2−2−2) | (36,5,30,2−2−2−2)<br>412017146∗<br>(42,5,36,2−2−2−2−2)<br>4723196∗<br>(48,5,42,2−2−2−2)<br>572822216∗<br>(58,5,52,2−2−2−2−2)<br>6331246∗<br>(64,5,48,2−2−2−2)<br>733627246∗<br>(74,5,68,2−2−2−2−2)<br>7939296∗<br>(80,5,74,2−2−2−2)<br>874331306∗<br>(88,5,82,2−2−2−2−2)<br>9346336∗<br>(94,5,88,2−2−2−2)<br>9949356∗<br>(100,5,94,2−2−2−2) |\n| --- | --- |\n| (34,6,27,2−2−2)<br>412018<br>(42,6,35,2−2−2)<br>512522<br>(52,6,45,2−2−2)<br>5929247∗<br>(60,6,53,2−2−2−2)<br>6532267∗<br>(66,6,59,2−2−2−2)<br>7537297∗<br>(76,6,69,2−2−2−2)<br>8140317∗<br>(82,6,75,2−2−2−2)<br>894433327∗<br>(90,6,83,2−2−2−2−2)<br>9547357∗<br>(96,6,89,2−2−2−2) | (40,6,33,2−2−2−2−2)<br>4723207∗<br>(48,6,41,2−2−2−2)<br>5326227∗<br>(54,6,47,2−2−2−2)<br>633125247∗<br>(64,6,47,2−2−2−2−2)<br>6934277∗<br>(70,6,63,2−2−2−2)<br>793930297∗<br>(80,6,73,2−2−2−2−2)<br>8542327∗<br>(86,6,79,2−2−2−2)<br>9145347∗<br>(92,6,85,2−2−2−2)<br>994936357∗<br>(100,6,93,2−2−2−2−2) |","| (38,7,30,2−2−2−2)<br>452220<br>(46,7,38,2−2−2)<br>512522218∗<br>(52,7,44,2−2−2−2−2)<br>572824238∗<br>(58,7,50,2−2−2−2−2)<br>633126258∗<br>(64,7,46,2−2−2−2−2)<br>693428278∗<br>(70,7,62,2−2−2−2−2)<br>7337308∗<br>(76,7,68,2−2−2−2)<br>8140328∗<br>(82,7,74,2−2−2−2)<br>8743348∗<br>(88,7,80,2−2−2−2)<br>9748378∗<br>(98,7,90,2−2−2−2) | (40,7,32,2−2−2)<br>472321<br>(48,7,40,2−2−2)<br>532623<br>(54,7,46,2−2−2)<br>5929258∗<br>(60,7,52,2−2−2−2)<br>6532278∗<br>(66,7,58,2−2−2−2)<br>7135298∗<br>(72,7,64,2−2−2−2)<br>7738318∗<br>(78,7,70,2−2−2−2)<br>854233328∗<br>(86,7,78,2−2−2−2−2)<br>9145358∗<br>(92,7,84,2−2−2−2)<br>9949388∗<br>(100,7,92,2−2−2−2) |\n| --- | --- |\n| (42,8,33,2−2−2−2)<br>49242221<br>(50,8,41,2−2−2−2)<br>5728259∗<br>(58,8,49,2−2−2−2)<br>67332529<br>(68,8,59,2−2−2−2)<br>7135309∗<br>(72,8,63,2−2−2−2)<br>7738329∗<br>(78,8,69,2−2−2−2)<br>8743359∗<br>(88,8,79,2−2−2−2)<br>9346379∗<br>(94,8,85,2−2−2−2)<br>9949399∗<br>(100,8,91,2−2−2−2) | (44,8,35,2−2−2)<br>512523<br>(52,8,43,2−2−2)<br>6331279∗<br>(64,8,45,2−2−2−2)<br>693429279∗<br>(70,8,61,2−2−2−2−2)<br>753731289∗<br>(76,8,67,2−2−2−2−2)<br>8140339∗<br>(82,8,73,2−2−2−2)<br>914536359∗<br>(92,8,83,2−2−2−2−2)<br>974838369∗<br>(98,8,89,2−2−2−2−2)<br>19999689∗<br>(200,8,191,2−2−2−2) |\n| (46,9,36,2−2−2−2−2−2)<br>5326242322<br>(54,9,44,2−2−2−2−2)<br>61302726<br>(62,9,52,2−2−2−2)<br>673329282710∗<br>(68,9,58,2−2−2−2−2−2)<br>733632<br>(74,9,64,2−2−2<br>79393410∗<br>(80,9,70,2−2−2−2)<br>87433610∗<br>(88,9,78,2−2−2−2)<br>9748393810∗<br>(98,9,88,2−2−2−2−2) | (48,9,38,2−2−2)<br>552725<br>(56,9,46,2−2−2)<br>633128<br>(64,9,44,2−2−2)<br>69343010∗<br>(70,9,60,2−2−2−2)<br>75373210∗<br>(76,9,66,2−2−2−2)<br>81403410∗<br>(82,9,72,2−2−2−2)<br>93463810∗<br>(94,9,84,2−2−2−2)<br>99494010∗<br>(100,9,90,2−2−2−2) |\n| (52,10,41,2−2−2)<br>∗6532292827262511<br>(66,10,55,2−2−2−2−2−2−2−2)<br>7336323011∗<br>(74,10,63,2−2−2−2−2)<br>7939343311∗<br>(80,10,69,2−2−2−2−2)<br>83413611∗<br>(84,10,73,2−2−2−2)<br>87433711∗<br>(88,10,77,2−2−2−2)<br>93463911∗<br>(94,10,83,2−2−2−2)<br>99494111∗<br>(100,10,89,2−2−2−2) | (60,10,49,2−2−2)<br>673330<br>(68,10,57,2−2−2)<br>753733<br>(76,10,65,2−2−2)<br>81403511∗<br>(82,10,71,2−2−2−2)<br>854236353411∗<br>(86,10,75,2−2−2−2−2−2)<br>91453837363511∗<br>(92,10,81,2−2−2−2−2−2−2)<br>974840393811∗<br>(98,10,87,2−2−2−2−2−2)<br>49924915311∗<br>(500,10,489,2−2−2−2) |\n| (100,21,78,2−2−2)<br>18391898786<br>(184,38,145,2−2−2−2−2)<br>831415414413<br>(832,200,631,2−2−2−2) | (200,45,154,2−2−2)<br>515255253<br>(516,116,399,2−2−2)<br>99994999499849974996<br>(10000,2475,7524,2−2−2−2−2) |",1]
["| (30,5,24,2−2−2)<br>371816<br>(38,5,32,2−2−2)<br>4321186∗<br>(44,5,38,2−2−2−2)<br>5326216∗<br>(54,5,48,2−2−2−2)<br>5929236∗<br>(60,5,54,2−2−2−2)<br>6934266∗<br>(70,5,64,2−2−2−2)<br>7537286∗<br>(76,5,70,2−2−2−2)<br>8341306∗<br>(84,5,78,2−2−2−2)<br>8944326∗<br>(90,5,84,2−2−2−2)<br>974834326∗<br>(98,5,92,2−2−2−2−2) | (36,5,30,2−2−2−2)<br>412017146∗<br>(42,5,36,2−2−2−2−2)<br>4723196∗<br>(48,5,42,2−2−2−2)<br>572822216∗<br>(58,5,52,2−2−2−2−2)<br>6331246∗<br>(64,5,48,2−2−2−2)<br>733627246∗<br>(74,5,68,2−2−2−2−2)<br>7939296∗<br>(80,5,74,2−2−2−2)<br>874331306∗<br>(88,5,82,2−2−2−2−2)<br>9346336∗<br>(94,5,88,2−2−2−2)<br>9949356∗<br>(100,5,94,2−2−2−2) |\n| --- | --- |\n| (34,6,27,2−2−2)<br>412018<br>(42,6,35,2−2−2)<br>512522<br>(52,6,45,2−2−2)<br>5929247∗<br>(60,6,53,2−2−2−2)<br>6532267∗<br>(66,6,59,2−2−2−2)<br>7537297∗<br>(76,6,69,2−2−2−2)<br>8140317∗<br>(82,6,75,2−2−2−2)<br>894433327∗<br>(90,6,83,2−2−2−2−2)<br>9547357∗<br>(96,6,89,2−2−2−2) | (40,6,33,2−2−2−2−2)<br>4723207∗<br>(48,6,41,2−2−2−2)<br>5326227∗<br>(54,6,47,2−2−2−2)<br>633125247∗<br>(64,6,47,2−2−2−2−2)<br>6934277∗<br>(70,6,63,2−2−2−2)<br>793930297∗<br>(80,6,73,2−2−2−2−2)<br>8542327∗<br>(86,6,79,2−2−2−2)<br>9145347∗<br>(92,6,85,2−2−2−2)<br>994936357∗<br>(100,6,93,2−2−2−2−2) |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| (30,5,24,2−2−2)<br>371816<br>(38,5,32,2−2−2)<br>4321186∗<br>(44,5,38,2−2−2−2)<br>5326216∗<br>(54,5,48,2−2−2−2)<br>5929236∗<br>(60,5,54,2−2−2−2)<br>6934266∗<br>(70,5,64,2−2−2−2)<br>7537286∗<br>(76,5,70,2−2−2−2)<br>8341306∗<br>(84,5,78,2−2−2−2)<br>8944326∗<br>(90,5,84,2−2−2−2)<br>974834326∗<br>(98,5,92,2−2−2−2−2) | (36,5,30,2−2−2−2)<br>412017146∗<br>(42,5,36,2−2−2−2−2)<br>4723196∗<br>(48,5,42,2−2−2−2)<br>572822216∗<br>(58,5,52,2−2−2−2−2)<br>6331246∗<br>(64,5,48,2−2−2−2)<br>733627246∗<br>(74,5,68,2−2−2−2−2)<br>7939296∗<br>(80,5,74,2−2−2−2)<br>874331306∗<br>(88,5,82,2−2−2−2−2)<br>9346336∗<br>(94,5,88,2−2−2−2)<br>9949356∗<br>(100,5,94,2−2−2−2) |\n| --- | --- |\n| (34,6,27,2−2−2)<br>412018<br>(42,6,35,2−2−2)<br>512522<br>(52,6,45,2−2−2)<br>5929247∗<br>(60,6,53,2−2−2−2)<br>6532267∗<br>(66,6,59,2−2−2−2)<br>7537297∗<br>(76,6,69,2−2−2−2)<br>8140317∗<br>(82,6,75,2−2−2−2)<br>894433327∗<br>(90,6,83,2−2−2−2−2)<br>9547357∗<br>(96,6,89,2−2−2−2) | (40,6,33,2−2−2−2−2)<br>4723207∗<br>(48,6,41,2−2−2−2)<br>5326227∗<br>(54,6,47,2−2−2−2)<br>633125247∗<br>(64,6,47,2−2−2−2−2)<br>6934277∗<br>(70,6,63,2−2−2−2)<br>793930297∗<br>(80,6,73,2−2−2−2−2)<br>8542327∗<br>(86,6,79,2−2−2−2)<br>9145347∗<br>(92,6,85,2−2−2−2)<br>994936357∗<br>(100,6,93,2−2−2−2−2) |\n| (38,7,30,2−2−2−2)<br>452220<br>(46,7,38,2−2−2)<br>512522218∗<br>(52,7,44,2−2−2−2−2)<br>572824238∗<br>(58,7,50,2−2−2−2−2)<br>633126258∗<br>(64,7,46,2−2−2−2−2)<br>693428278∗<br>(70,7,62,2−2−2−2−2)<br>7337308∗<br>(76,7,68,2−2−2−2)<br>8140328∗<br>(82,7,74,2−2−2−2)<br>8743348∗<br>(88,7,80,2−2−2−2)<br>9748378∗<br>(98,7,90,2−2−2−2) | (40,7,32,2−2−2)<br>472321<br>(48,7,40,2−2−2)<br>532623<br>(54,7,46,2−2−2)<br>5929258∗<br>(60,7,52,2−2−2−2)<br>6532278∗<br>(66,7,58,2−2−2−2)<br>7135298∗<br>(72,7,64,2−2−2−2)<br>7738318∗<br>(78,7,70,2−2−2−2)<br>854233328∗<br>(86,7,78,2−2−2−2−2)<br>9145358∗<br>(92,7,84,2−2−2−2)<br>9949388∗<br>(100,7,92,2−2−2−2) |","| (42,8,33,2−2−2−2)<br>49242221<br>(50,8,41,2−2−2−2)<br>5728259∗<br>(58,8,49,2−2−2−2)<br>67332529<br>(68,8,59,2−2−2−2)<br>7135309∗<br>(72,8,63,2−2−2−2)<br>7738329∗<br>(78,8,69,2−2−2−2)<br>8743359∗<br>(88,8,79,2−2−2−2)<br>9346379∗<br>(94,8,85,2−2−2−2)<br>9949399∗<br>(100,8,91,2−2−2−2) | (44,8,35,2−2−2)<br>512523<br>(52,8,43,2−2−2)<br>6331279∗<br>(64,8,45,2−2−2−2)<br>693429279∗<br>(70,8,61,2−2−2−2−2)<br>753731289∗<br>(76,8,67,2−2−2−2−2)<br>8140339∗<br>(82,8,73,2−2−2−2)<br>914536359∗<br>(92,8,83,2−2−2−2−2)<br>974838369∗<br>(98,8,89,2−2−2−2−2)<br>19999689∗<br>(200,8,191,2−2−2−2) |\n| --- | --- |\n| (46,9,36,2−2−2−2−2−2)<br>5326242322<br>(54,9,44,2−2−2−2−2)<br>61302726<br>(62,9,52,2−2−2−2)<br>673329282710∗<br>(68,9,58,2−2−2−2−2−2)<br>733632<br>(74,9,64,2−2−2<br>79393410∗<br>(80,9,70,2−2−2−2)<br>87433610∗<br>(88,9,78,2−2−2−2)<br>9748393810∗<br>(98,9,88,2−2−2−2−2) | (48,9,38,2−2−2)<br>552725<br>(56,9,46,2−2−2)<br>633128<br>(64,9,44,2−2−2)<br>69343010∗<br>(70,9,60,2−2−2−2)<br>75373210∗<br>(76,9,66,2−2−2−2)<br>81403410∗<br>(82,9,72,2−2−2−2)<br>93463810∗<br>(94,9,84,2−2−2−2)<br>99494010∗<br>(100,9,90,2−2−2−2) |\n| (52,10,41,2−2−2)<br>∗6532292827262511<br>(66,10,55,2−2−2−2−2−2−2−2)<br>7336323011∗<br>(74,10,63,2−2−2−2−2)<br>7939343311∗<br>(80,10,69,2−2−2−2−2)<br>83413611∗<br>(84,10,73,2−2−2−2)<br>87433711∗<br>(88,10,77,2−2−2−2)<br>93463911∗<br>(94,10,83,2−2−2−2)<br>99494111∗<br>(100,10,89,2−2−2−2) | (60,10,49,2−2−2)<br>673330<br>(68,10,57,2−2−2)<br>753733<br>(76,10,65,2−2−2)<br>81403511∗<br>(82,10,71,2−2−2−2)<br>854236353411∗<br>(86,10,75,2−2−2−2−2−2)<br>91453837363511∗<br>(92,10,81,2−2−2−2−2−2−2)<br>974840393811∗<br>(98,10,87,2−2−2−2−2−2)<br>49924915311∗<br>(500,10,489,2−2−2−2) |\n| (100,21,78,2−2−2)<br>18391898786<br>(184,38,145,2−2−2−2−2)<br>831415414413<br>(832,200,631,2−2−2−2) | (200,45,154,2−2−2)<br>515255253<br>(516,116,399,2−2−2)<br>99994999499849974996<br>(10000,2475,7524,2−2−2−2−2) |",1]
["| (30,5,24,2−2−2)<br>371816<br>(38,5,32,2−2−2)<br>4321186∗<br>(44,5,38,2−2−2−2)<br>5326216∗<br>(54,5,48,2−2−2−2)<br>5929236∗<br>(60,5,54,2−2−2−2)<br>6934266∗<br>(70,5,64,2−2−2−2)<br>7537286∗<br>(76,5,70,2−2−2−2)<br>8341306∗<br>(84,5,78,2−2−2−2)<br>8944326∗<br>(90,5,84,2−2−2−2)<br>974834326∗<br>(98,5,92,2−2−2−2−2) | (36,5,30,2−2−2−2)<br>412017146∗<br>(42,5,36,2−2−2−2−2)<br>4723196∗<br>(48,5,42,2−2−2−2)<br>572822216∗<br>(58,5,52,2−2−2−2−2)<br>6331246∗<br>(64,5,48,2−2−2−2)<br>733627246∗<br>(74,5,68,2−2−2−2−2)<br>7939296∗<br>(80,5,74,2−2−2−2)<br>874331306∗<br>(88,5,82,2−2−2−2−2)<br>9346336∗<br>(94,5,88,2−2−2−2)<br>9949356∗<br>(100,5,94,2−2−2−2) |\n| --- | --- |\n| (34,6,27,2−2−2)<br>412018<br>(42,6,35,2−2−2)<br>512522<br>(52,6,45,2−2−2)<br>5929247∗<br>(60,6,53,2−2−2−2)<br>6532267∗<br>(66,6,59,2−2−2−2)<br>7537297∗<br>(76,6,69,2−2−2−2)<br>8140317∗<br>(82,6,75,2−2−2−2)<br>894433327∗<br>(90,6,83,2−2−2−2−2)<br>9547357∗<br>(96,6,89,2−2−2−2) | (40,6,33,2−2−2−2−2)<br>4723207∗<br>(48,6,41,2−2−2−2)<br>5326227∗<br>(54,6,47,2−2−2−2)<br>633125247∗<br>(64,6,47,2−2−2−2−2)<br>6934277∗<br>(70,6,63,2−2−2−2)<br>793930297∗<br>(80,6,73,2−2−2−2−2)<br>8542327∗<br>(86,6,79,2−2−2−2)<br>9145347∗<br>(92,6,85,2−2−2−2)<br>994936357∗<br>(100,6,93,2−2−2−2−2) |\n| (38,7,30,2−2−2−2)<br>452220<br>(46,7,38,2−2−2)<br>512522218∗<br>(52,7,44,2−2−2−2−2)<br>572824238∗<br>(58,7,50,2−2−2−2−2)<br>633126258∗<br>(64,7,46,2−2−2−2−2)<br>693428278∗<br>(70,7,62,2−2−2−2−2)<br>7337308∗<br>(76,7,68,2−2−2−2)<br>8140328∗<br>(82,7,74,2−2−2−2)<br>8743348∗<br>(88,7,80,2−2−2−2)<br>9748378∗<br>(98,7,90,2−2−2−2) | (40,7,32,2−2−2)<br>472321<br>(48,7,40,2−2−2)<br>532623<br>(54,7,46,2−2−2)<br>5929258∗<br>(60,7,52,2−2−2−2)<br>6532278∗<br>(66,7,58,2−2−2−2)<br>7135298∗<br>(72,7,64,2−2−2−2)<br>7738318∗<br>(78,7,70,2−2−2−2)<br>854233328∗<br>(86,7,78,2−2−2−2−2)<br>9145358∗<br>(92,7,84,2−2−2−2)<br>9949388∗<br>(100,7,92,2−2−2−2) |","| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| --- | --- | --- |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["|  | AverageReward | TotalReward | K-DDiﬀerence |\n| --- | --- | --- | --- |\n| Game1 | 0.77 | 155.68 | 11 |\n| Game2 | 0.74 | 149.38 | 8 |\n| Game3 | 0.84 | 168.57 | 15 |","| Game4 | 0.61 | 122.12 | -8 |\n| --- | --- | --- | --- |\n| Game5 | 0.97 | 194.40 | 37 |",1]
["|  | AverageReward | TotalReward | K-DDiﬀerence |\n| --- | --- | --- | --- |\n| Game1 | 0.77 | 155.68 | 11 |\n| Game2 | 0.74 | 149.38 | 8 |\n| Game3 | 0.84 | 168.57 | 15 |","| MeanRank |  |  |\n| --- | --- | --- |\n| 210 | 119 | 48.5 |\n| 212 | 87 | 45.7 |\n| 167 | 39 | 51.7 |\n| 200 | 113 | 44.3 |\n| 181 | 93 | 49.6 |\n| 213 | 113 | 52.0 |\n| 188 | 85 | 53.5 |\n| MeanRank |  |  |\n| 263 | 251 | 75.4 |\n| 401 | 338 | 73.0 |\n| 312 | 193 | 81.3 |\n| 168 | 156 | 81.2 |",0]
["|  | AverageReward | TotalReward | K-DDiﬀerence |\n| --- | --- | --- | --- |\n| Game1 | 0.77 | 155.68 | 11 |","| Game2 | 0.74 | 149.38 | 8 |\n| --- | --- | --- | --- |\n| Game3 | 0.84 | 168.57 | 15 |\n| Game4 | 0.61 | 122.12 | -8 |\n| Game5 | 0.97 | 194.40 | 37 |",1]
["|  | AverageReward | TotalReward | K-DDiﬀerence |\n| --- | --- | --- | --- |\n| Game1 | 0.77 | 155.68 | 11 |","| 167 | 39 | 51.7 |\n| --- | --- | --- |\n| 200 | 113 | 44.3 |\n| 181 | 93 | 49.6 |\n| 213 | 113 | 52.0 |\n| 188 | 85 | 53.5 |\n| MeanRank |  |  |\n| 263 | 251 | 75.4 |\n| 401 | 338 | 73.0 |\n| 312 | 193 | 81.3 |\n| 168 | 156 | 81.2 |",0]
["| Sol.# | Vd2 | Vq2 | Vd3 | Vq3 | Vd4 | Vq4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 0 | 1 | 0 | -1 | 0 |\n| 2 | -1 | 0 | 1 | 0 | -1 | 0 |\n| 3 | 1 | 0 | 1 | 0 | 1 | 0 |\n| 4 | 1 | 0 | -1 | 0 | -1 | 0 |","| 5 | -1 | 0 | 1 | 0 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 6 | -1 | 0 | -1 | 0 | -1 | 0 |\n| 7 | -1 | 0 | -1 | 0 | 1 | 0 |\n| 8 | 1 | 0 | 1 | 0 | 1 | 0 |\n| 9 | .30976 | -.95082 | -.82212 | -.56932 | -.97906 | .20359 |\n| 10 | -.88313 | .46912 | .97310 | .23039 | .99834 | -.05754 |\n| 11 | .57067 | -.82118 | -.61912 | .78530 | .41658 | -.90910 |\n| 12 | .89239 | -.45127 | .84624 | -.53281 | -.94751 | .31973 |\n| 13 | -.88313 | -.46912 | .97310 | -.23039 | .99834 | .05754 |\n| 14 | .57067 | .82118 | -.61912 | -.78530 | .41658 | .90910 |\n| 15 | .30975 | .95082 | -.82212 | .56932 | -.97906 | -.20359 |\n| 16 | .89239 | .45127 | .84624 | .53281 | -.94751 | -.31973 |",1]
["| Sol.# | Vd2 | Vq2 | Vd3 | Vq3 | Vd4 | Vq4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 0 | 1 | 0 | -1 | 0 |\n| 2 | -1 | 0 | 1 | 0 | -1 | 0 |\n| 3 | 1 | 0 | 1 | 0 | 1 | 0 |\n| 4 | 1 | 0 | -1 | 0 | -1 | 0 |","| n/V | ... | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | ... | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | ... |\n| 2 | ... | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | ... |\n| 3 | ... | 0 | 0 | 1 | 0 | 2 | 0 | 1 | 0 | 0 | ... |\n| 4 | ... | 0 | 1 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | ... |\n| 5 | ... | 1 | 0 | 4 | 0 | 6 | 0 | 4 | 0 | 1 | ... |",0]
["| Sol.# | Vd2 | Vq2 | Vd3 | Vq3 | Vd4 | Vq4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 0 | 1 | 0 | -1 | 0 |\n| 2 | -1 | 0 | 1 | 0 | -1 | 0 |\n| 3 | 1 | 0 | 1 | 0 | 1 | 0 |\n| 4 | 1 | 0 | -1 | 0 | -1 | 0 |\n| 5 | -1 | 0 | 1 | 0 | 1 | 0 |\n| 6 | -1 | 0 | -1 | 0 | -1 | 0 |\n| 7 | -1 | 0 | -1 | 0 | 1 | 0 |\n| 8 | 1 | 0 | 1 | 0 | 1 | 0 |\n| 9 | .30976 | -.95082 | -.82212 | -.56932 | -.97906 | .20359 |\n| 10 | -.88313 | .46912 | .97310 | .23039 | .99834 | -.05754 |\n| 11 | .57067 | -.82118 | -.61912 | .78530 | .41658 | -.90910 |","| 12 | .89239 | -.45127 | .84624 | -.53281 | -.94751 | .31973 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 13 | -.88313 | -.46912 | .97310 | -.23039 | .99834 | .05754 |\n| 14 | .57067 | .82118 | -.61912 | -.78530 | .41658 | .90910 |\n| 15 | .30975 | .95082 | -.82212 | .56932 | -.97906 | -.20359 |\n| 16 | .89239 | .45127 | .84624 | .53281 | -.94751 | -.31973 |",1]
["| Sol.# | Vd2 | Vq2 | Vd3 | Vq3 | Vd4 | Vq4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 0 | 1 | 0 | -1 | 0 |\n| 2 | -1 | 0 | 1 | 0 | -1 | 0 |\n| 3 | 1 | 0 | 1 | 0 | 1 | 0 |\n| 4 | 1 | 0 | -1 | 0 | -1 | 0 |\n| 5 | -1 | 0 | 1 | 0 | 1 | 0 |\n| 6 | -1 | 0 | -1 | 0 | -1 | 0 |\n| 7 | -1 | 0 | -1 | 0 | 1 | 0 |\n| 8 | 1 | 0 | 1 | 0 | 1 | 0 |\n| 9 | .30976 | -.95082 | -.82212 | -.56932 | -.97906 | .20359 |\n| 10 | -.88313 | .46912 | .97310 | .23039 | .99834 | -.05754 |\n| 11 | .57067 | -.82118 | -.61912 | .78530 | .41658 | -.90910 |","| 4 | ... | 0 | 1 | 0 | 3 | 0 | 3 | 0 | 1 | 0 | ... |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | ... | 1 | 0 | 4 | 0 | 6 | 0 | 4 | 0 | 1 | ... |",0]
["|  | Ours | CT | STC | CN | SAMF | DSST | CCT | KCF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PrecisionofTRE | 0.79 | 0.51 | 0.59 | 0.64 | 0.65 | 0.65 | 0.66 | 0.60 |\n| SuccessrateofTRE | 0.61 | 0.45 | 0.46 | 0.54 | 0.58 | 0.56 | 0.57 | 0.52 |","| PrecisionofOPE | 0.83 | 0.44 | 0.48 | 0.44 | 0.59 | 0.48 | 0.66 | 0.48 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SuccessrateofOPE | 0.66 | 0.34 | 0.41 | 0.42 | 0.52 | 0.44 | 0.53 | 0.38 |\n| CLE(inpixel) | 14.5 | 74.4 | 38.0 | 55.0 | 40.8 | 55.7 | 23.2 | 45.6 |\n| Averagespeed(infps) | 141.3 | 12.0 | 73.6 | 87.1 | 12.9 | 20.8 | 21.3 | 144.8 |",1]
["|  | Ours | CT | STC | CN | SAMF | DSST | CCT | KCF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PrecisionofTRE | 0.79 | 0.51 | 0.59 | 0.64 | 0.65 | 0.65 | 0.66 | 0.60 |\n| SuccessrateofTRE | 0.61 | 0.45 | 0.46 | 0.54 | 0.58 | 0.56 | 0.57 | 0.52 |","| Cell | Mode | Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 7.77 | 8.38 | 8.50 | 1.01 | 1.09 |\n| 2 | 15.22 | 16.59 | 17.52 | 1.06 | 1.15 |  |  |\n| 4 | 28.94 | 31.90 | 34.30 | 1.08 | 1.19 |  |  |\n| 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 |  |  |\n| 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |  |  |\n| ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 |  |  |\n| Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 |  |\n| 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 |  |  |\n| 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 |  |  |\n| 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 |  |  |\n| 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |  |\n| Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 |  |  |\n| MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 |\n| 2 | 8.36 | 8.85 | 9.24 | 1.04 | 1.11 |  |  |\n| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 |  |  |\n| 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 |  |  |\n| 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |  |  |\n| Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 |  |  |\n| Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 |  |\n| 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 |  |  |\n| 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 |  |  |\n| 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 |  |  |\n| 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |  |\n| Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 |  |  |",0]
["|  | Ours | CT | STC | CN | SAMF | DSST | CCT | KCF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PrecisionofTRE | 0.79 | 0.51 | 0.59 | 0.64 | 0.65 | 0.65 | 0.66 | 0.60 |\n| SuccessrateofTRE | 0.61 | 0.45 | 0.46 | 0.54 | 0.58 | 0.56 | 0.57 | 0.52 |\n| PrecisionofOPE | 0.83 | 0.44 | 0.48 | 0.44 | 0.59 | 0.48 | 0.66 | 0.48 |\n| SuccessrateofOPE | 0.66 | 0.34 | 0.41 | 0.42 | 0.52 | 0.44 | 0.53 | 0.38 |","| CLE(inpixel) | 14.5 | 74.4 | 38.0 | 55.0 | 40.8 | 55.7 | 23.2 | 45.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Averagespeed(infps) | 141.3 | 12.0 | 73.6 | 87.1 | 12.9 | 20.8 | 21.3 | 144.8 |",1]
["|  | Ours | CT | STC | CN | SAMF | DSST | CCT | KCF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PrecisionofTRE | 0.79 | 0.51 | 0.59 | 0.64 | 0.65 | 0.65 | 0.66 | 0.60 |\n| SuccessrateofTRE | 0.61 | 0.45 | 0.46 | 0.54 | 0.58 | 0.56 | 0.57 | 0.52 |\n| PrecisionofOPE | 0.83 | 0.44 | 0.48 | 0.44 | 0.59 | 0.48 | 0.66 | 0.48 |\n| SuccessrateofOPE | 0.66 | 0.34 | 0.41 | 0.42 | 0.52 | 0.44 | 0.53 | 0.38 |","| 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |  |  |\n| ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 |  |  |\n| Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 |  |\n| 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 |  |  |\n| 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 |  |  |\n| 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 |  |  |\n| 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |  |\n| Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 |  |  |\n| MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 |\n| 2 | 8.36 | 8.85 | 9.24 | 1.04 | 1.11 |  |  |\n| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 |  |  |\n| 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 |  |  |\n| 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |  |  |\n| Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 |  |  |\n| Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 |  |\n| 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 |  |  |\n| 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 |  |  |\n| 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 |  |  |\n| 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |  |\n| Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 |  |  |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |","| 2 | {4,20} | {4,20} | {4,20} | {4,20} |\n| --- | --- | --- | --- | --- |\n| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |\n| 2 | {4,20} | {4,20} | {4,20} | {4,20} |\n| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |\n| 2 | {4,20} | {4,20} | {4,20} | {4,20} |","| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| --- | --- | --- | --- | --- |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |\n| 2 | {4,20} | {4,20} | {4,20} | {4,20} |","| 2 | {4,20} | {4,20} | {4,20} | {4,20} |\n| --- | --- | --- | --- | --- |\n| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",0]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| latlon | 1624984 | 1625197 | 1506465 | Identity |\n| lat | 1624984 | 1625192 | 1504469 | Identity |\n| lon | 1625061 | 1625725 | 1504619 | Identity |","| place | 1741337 | 1741516 | 1504619 | Identity |\n| --- | --- | --- | --- | --- |\n| retweetID | 636455 | 636644 | 627163 | Identity |\n| reuserID | 720624 | 722148 | 676616 | Identity |\n| time | 2020000 | 2020000 | 35176 | Organization |\n| userID | 2020000 | 2020000 | 1711141 | Identity |\n| user | 2020000 | 2020000 | 1711143 | Identity |\n| word | 1976746 | 17180314 | 7838862 | Authority |",1]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| latlon | 1624984 | 1625197 | 1506465 | Identity |\n| lat | 1624984 | 1625192 | 1504469 | Identity |\n| lon | 1625061 | 1625725 | 1504619 | Identity |","| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| latlon | 1624984 | 1625197 | 1506465 | Identity |","| lat | 1624984 | 1625192 | 1504469 | Identity |\n| --- | --- | --- | --- | --- |\n| lon | 1625061 | 1625725 | 1504619 | Identity |\n| place | 1741337 | 1741516 | 1504619 | Identity |\n| retweetID | 636455 | 636644 | 627163 | Identity |\n| reuserID | 720624 | 722148 | 676616 | Identity |\n| time | 2020000 | 2020000 | 35176 | Organization |\n| userID | 2020000 | 2020000 | 1711141 | Identity |\n| user | 2020000 | 2020000 | 1711143 | Identity |\n| word | 1976746 | 17180314 | 7838862 | Authority |",1]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| latlon | 1624984 | 1625197 | 1506465 | Identity |","| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| --- | --- | --- | --- | --- |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |\n| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",0]
["| SensorVariable | Deﬁnition | Calculation |\n| --- | --- | --- |\n| s0 | Isthetargettomyfront? | clamp(w,0,1)9 |\n| s1 | Isthetargettomyback? | clamp(−1∗w,0,1)9 |\n| s2 | Isthetargetnear? | map(w,0,400,1,0)4 |","| s3 | Isthetargettomyright? | clamp(w,0,1)10 |\n| --- | --- | --- |\n| s4 | Isthetargettomyleft? | clamp(−1∗w,0,1)10 |\n| s5 | DoIhavetheball? | w7 |",1]
["| SensorVariable | Deﬁnition | Calculation |\n| --- | --- | --- |\n| s0 | Isthetargettomyfront? | clamp(w,0,1)9 |\n| s1 | Isthetargettomyback? | clamp(−1∗w,0,1)9 |\n| s2 | Isthetargetnear? | map(w,0,400,1,0)4 |","| S1:PersonalFeatures | S1:NNLabels | S2:GPInput | S2:Output |  |\n| --- | --- | --- | --- | --- |\n| NN-MV |  |  |  |  |\n| None | VAS,OPI | VAS,OPI | 2.32(0.25) | 2.56(0.12) |\n| VAS | 2.24(0.27) |  |  |  |\n| VAS | VAS | 2.30(0.26) | 2.82(0.05) |  |\n| 3rdNNlayer | VAS,OPI | VAS,OPI | 2.34(0.27) | 2.58(0.19) |\n| VAS | 2.18(0.35) |  |  |  |\n| VAS | VAS | 2.24(0.25) | 2.65(0.17) |  |\n| NNinput | VAS,OPI | VAS,OPI | 2.41(0.23) | 2.48(0.14) |\n| VAS | 2.22(0.27) |  |  |  |\n| VAS | VAS | 2.22(0.30) | 2.53(0.18) |  |",0]
["| SensorVariable | Deﬁnition | Calculation |\n| --- | --- | --- |\n| s0 | Isthetargettomyfront? | clamp(w,0,1)9 |","| s1 | Isthetargettomyback? | clamp(−1∗w,0,1)9 |\n| --- | --- | --- |\n| s2 | Isthetargetnear? | map(w,0,400,1,0)4 |\n| s3 | Isthetargettomyright? | clamp(w,0,1)10 |\n| s4 | Isthetargettomyleft? | clamp(−1∗w,0,1)10 |\n| s5 | DoIhavetheball? | w7 |",1]
["| SensorVariable | Deﬁnition | Calculation |\n| --- | --- | --- |\n| s0 | Isthetargettomyfront? | clamp(w,0,1)9 |","| VAS | 2.24(0.27) |  |  |  |\n| --- | --- | --- | --- | --- |\n| VAS | VAS | 2.30(0.26) | 2.82(0.05) |  |\n| 3rdNNlayer | VAS,OPI | VAS,OPI | 2.34(0.27) | 2.58(0.19) |\n| VAS | 2.18(0.35) |  |  |  |\n| VAS | VAS | 2.24(0.25) | 2.65(0.17) |  |\n| NNinput | VAS,OPI | VAS,OPI | 2.41(0.23) | 2.48(0.14) |\n| VAS | 2.22(0.27) |  |  |  |\n| VAS | VAS | 2.22(0.30) | 2.53(0.18) |  |",0]
["|  | NPCR | UACI |\n| --- | --- | --- |\n| Baboon | 99.552 | 33.171 |","| CameraMan | 99.572 | 33.239 |\n| --- | --- | --- |\n| Einstein | 99.543 | 33.229 |\n| Lena | 99.540 | 33.239 |\n| Peper | 99.597 | 33.250 |",1]
["|  | NPCR | UACI |\n| --- | --- | --- |\n| Baboon | 99.552 | 33.171 |","| Imagename | NPCR | InformationEntropy |\n| --- | --- | --- |\n| Lena | 99.6170 | 7.9966 |\n| Barbara | 99.6475 | 7.9969 |\n| Baboon | 99.6368 | 7.9971 |\n| Boat | 99.6231 | 7.9970 |\n| Peppers | 99.6154 | 7.9972 |",0]
["|  | NPCR | UACI |\n| --- | --- | --- |\n| Baboon | 99.552 | 33.171 |","| CameraMan | 99.572 | 33.239 |\n| --- | --- | --- |\n| Einstein | 99.543 | 33.229 |\n| Lena | 99.540 | 33.239 |\n| Peper | 99.597 | 33.250 |",1]
["|  | NPCR | UACI |\n| --- | --- | --- |\n| Baboon | 99.552 | 33.171 |","| Barbara | 99.6475 | 7.9969 |\n| --- | --- | --- |\n| Baboon | 99.6368 | 7.9971 |\n| Boat | 99.6231 | 7.9970 |\n| Peppers | 99.6154 | 7.9972 |",0]
["| Method | AEE-05 | AEE-5so | AEE-tot | AAE-05 | AAE-5so | AAE-tot |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFlow | 0.30 | 3.99 | 0.47 | 9.35 | 14.65 | 9.59 |\n| HAOF | 0.37 | 4.59 | 0.56 | 10.95 | 19.40 | 11.33 |","| LDOF | 0.35 | 2.85 | 0.46 | 9.91 | 9.72 | 9.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| USCNN | 0.46 | 8.7 | 0.81 | 12.74 | 59.50 | 14.70 |",1]
["| Method | AEE-05 | AEE-5so | AEE-tot | AAE-05 | AAE-5so | AAE-tot |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFlow | 0.30 | 3.99 | 0.47 | 9.35 | 14.65 | 9.59 |\n| HAOF | 0.37 | 4.59 | 0.56 | 10.95 | 19.40 | 11.33 |","| method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |\n| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |\n| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |\n| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",0]
["| Method | AEE-05 | AEE-5so | AEE-tot | AAE-05 | AAE-5so | AAE-tot |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFlow | 0.30 | 3.99 | 0.47 | 9.35 | 14.65 | 9.59 |","| HAOF | 0.37 | 4.59 | 0.56 | 10.95 | 19.40 | 11.33 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LDOF | 0.35 | 2.85 | 0.46 | 9.91 | 9.72 | 9.9 |\n| USCNN | 0.46 | 8.7 | 0.81 | 12.74 | 59.50 | 14.70 |",1]
["| Method | AEE-05 | AEE-5so | AEE-tot | AAE-05 | AAE-5so | AAE-tot |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFlow | 0.30 | 3.99 | 0.47 | 9.35 | 14.65 | 9.59 |","| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",0]
["| ULvs.GN | ULvs.FT |\n| --- | --- |\n| PrecRecF1 | PrecRecF1 |","| 0.6940.6940.694<br>0.6770.6760.676<br>0.7350.7350.735<br>0.7650.7620.763 | 0.7870.7680.777<br>0.6660.6660.666<br>0.8650.8630.864<br>0.8690.8680.868 |\n| --- | --- |\n| 0.8340.8330.833 | 0.8970.8970.897 |\n| 0.5000.5000.500 | 0.5000.5000.500 |",1]
["| ULvs.GN | ULvs.FT |\n| --- | --- |\n| PrecRecF1 | PrecRecF1 |","| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| ULvs.GN | ULvs.FT |\n| --- | --- |\n| PrecRecF1 | PrecRecF1 |\n| 0.6940.6940.694<br>0.6770.6760.676<br>0.7350.7350.735<br>0.7650.7620.763 | 0.7870.7680.777<br>0.6660.6660.666<br>0.8650.8630.864<br>0.8690.8680.868 |","| 0.8340.8330.833 | 0.8970.8970.897 |\n| --- | --- |\n| 0.5000.5000.500 | 0.5000.5000.500 |",1]
["| ULvs.GN | ULvs.FT |\n| --- | --- |\n| PrecRecF1 | PrecRecF1 |\n| 0.6940.6940.694<br>0.6770.6760.676<br>0.7350.7350.735<br>0.7650.7620.763 | 0.7870.7680.777<br>0.6660.6660.666<br>0.8650.8630.864<br>0.8690.8680.868 |","| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| --- | --- | --- | --- | --- | --- |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["|  | Episode | Action |\n| --- | --- | --- |\n| 1-200 | 543.1 | 543.4 |\n| 201-2,000 | 194.0 | 195.6 |","| 2,001-17,000 | 63.0 | 69.3 |\n| --- | --- | --- |\n| 17,001-20,000 | 46.3 | 54.6 |",1]
["|  | Episode | Action |\n| --- | --- | --- |\n| 1-200 | 543.1 | 543.4 |\n| 201-2,000 | 194.0 | 195.6 |","| Iterations | Episode | Action |  |  |\n| --- | --- | --- | --- | --- |\n| Ave. | Var. | Ave. | Var. |  |\n| 1-200 | 684.7 | 2374.0 | 958.6 | 1596.7 |\n| 201-2,000 | 355.2 | 127.9 | 358.5 | 134.5 |\n| 2,001-17,000 | 101.3 | 5.1 | 104.9 | 5.3 |\n| 17,001-20,000 | 62.3 | 3.3 | 66.6 | 3.1 |",0]
["|  | Episode | Action |\n| --- | --- | --- |\n| 1-200 | 543.1 | 543.4 |\n| 201-2,000 | 194.0 | 195.6 |","| 2,001-17,000 | 63.0 | 69.3 |\n| --- | --- | --- |\n| 17,001-20,000 | 46.3 | 54.6 |",1]
["|  | Episode | Action |\n| --- | --- | --- |\n| 1-200 | 543.1 | 543.4 |\n| 201-2,000 | 194.0 | 195.6 |","| 2,001-17,000 | 101.3 | 5.1 | 104.9 | 5.3 |\n| --- | --- | --- | --- | --- |\n| 17,001-20,000 | 62.3 | 3.3 | 66.6 | 3.1 |",0]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.40 | 0.22 |\n| 1.0 | 1.32 | 0.73 |","| 0.3 | 0.70 | 0.88 |\n| --- | --- | --- |\n| 1.0 | 2.76 | 5.67 |",1]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.40 | 0.22 |\n| 1.0 | 1.32 | 0.73 |","| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.42 | 0.26 |\n| 1.0 | 1.40 | 0.85 |\n| 0.3 | 4.01 | 3.65 |\n| 1.0 | 13.45 | 12.15 |",0]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.40 | 0.22 |\n| 1.0 | 1.32 | 0.73 |","| 0.3 | 0.70 | 0.88 |\n| --- | --- | --- |\n| 1.0 | 2.76 | 5.67 |",1]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.40 | 0.22 |\n| 1.0 | 1.32 | 0.73 |","| 0.3 | 4.01 | 3.65 |\n| --- | --- | --- |\n| 1.0 | 13.45 | 12.15 |",0]
["| Labels | Road | Road | Road,Wood | Road,Wood | Wood | Wood |\n| --- | --- | --- | --- | --- | --- | --- |\n| cAw | 100 | 30 | 40 | 50 | 10 | 20 |","| cAm | 20 | 3 | 4 | 5 | 1 | 2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| cBw | 10 | 7 | 45 | 55 | 30 | 50 |\n| cCw | 15 | 12 | 35 | 40 | 15 | 25 |\n| cCw | 10 | 3 | 4 | 5 | 1 | 2 |",1]
["| Labels | Road | Road | Road,Wood | Road,Wood | Wood | Wood |\n| --- | --- | --- | --- | --- | --- | --- |\n| cAw | 100 | 30 | 40 | 50 | 10 | 20 |","|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |\n| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["| Labels | Road | Road | Road,Wood | Road,Wood | Wood | Wood |\n| --- | --- | --- | --- | --- | --- | --- |\n| cAw | 100 | 30 | 40 | 50 | 10 | 20 |\n| cAm | 20 | 3 | 4 | 5 | 1 | 2 |","| cBw | 10 | 7 | 45 | 55 | 30 | 50 |\n| --- | --- | --- | --- | --- | --- | --- |\n| cCw | 15 | 12 | 35 | 40 | 15 | 25 |\n| cCw | 10 | 3 | 4 | 5 | 1 | 2 |",1]
["| Labels | Road | Road | Road,Wood | Road,Wood | Wood | Wood |\n| --- | --- | --- | --- | --- | --- | --- |\n| cAw | 100 | 30 | 40 | 50 | 10 | 20 |\n| cAm | 20 | 3 | 4 | 5 | 1 | 2 |","| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["| IndepedentParamater | Defaultvalue |\n| --- | --- |\n| ν | 0.001 |\n| σ | 0.01 |\n| P−(NoofsplitOCSVMs)packets | (5) |","| Ensemblemechanism | Weightedsumvalue |\n| --- | --- |\n| k−means | 2stages |",1]
["| IndepedentParamater | Defaultvalue |\n| --- | --- |\n| ν | 0.001 |\n| σ | 0.01 |\n| P−(NoofsplitOCSVMs)packets | (5) |","| Pu | AverageCommunicationActsPerformed |  |  |  |\n| --- | --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |  |\n| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["| IndepedentParamater | Defaultvalue |\n| --- | --- |\n| ν | 0.001 |","| σ | 0.01 |\n| --- | --- |\n| P−(NoofsplitOCSVMs)packets | (5) |\n| Ensemblemechanism | Weightedsumvalue |\n| k−means | 2stages |",1]
["| IndepedentParamater | Defaultvalue |\n| --- | --- |\n| ν | 0.001 |","| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| --- | --- | --- | --- | --- |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["| WANG | 7501761836 |\n| --- | --- |\n| LIU | 36077269600 |\n| WANG | 8640586600 |\n| WANG | 55757783062 |\n| CHEN | 9639099600 |\n| LI | 55218828300 |\n| WANG | 36072896000 |","| LI | 56002811300 |\n| --- | --- |\n| WANG | 35178491000 |",1]
["| WANG | 7501761836 |\n| --- | --- |\n| LIU | 36077269600 |\n| WANG | 8640586600 |\n| WANG | 55757783062 |\n| CHEN | 9639099600 |\n| LI | 55218828300 |\n| WANG | 36072896000 |","| QAP | MIN | PATH | QPB | GRAD | U |\n| --- | --- | --- | --- | --- | --- |\n| chr12c | 11156 | 18048 | 20306 | 19014 | 40370 |\n| chr15a | 9896 | 19086 | 26132 | 30370 | 60986 |\n| chr15c | 9504 | 16206 | 29862 | 23686 | 76318 |\n| chr20b | 2298 | 5560 | 6674 | 6290 | 10022 |\n| chr22b | 6194 | 8500 | 9942 | 9658 | 13118 |\n| esc16b | 292 | 300 | 296 | 298 | 306 |\n| rou12 | 235528 | 256320 | 278834 | 273438 | 295752 |\n| rou15 | 354210 | 391270 | 381016 | 457908 | 480352 |\n| rou20 | 725522 | 778284 | 804676 | 840120 | 905246 |\n| tai10a | 135028 | 152534 | 165364 | 168096 | 189852 |\n| tai15a | 388214 | 419224 | 455778 | 451164 | 483596 |\n| tai17a | 491812 | 530978 | 550852 | 589814 | 620964 |\n| tai20a | 703482 | 753712 | 799790 | 871480 | 915144 |\n| tai30a | 1818146 | 1903872 | 1996442 | 2077958 | 2213846 |\n| tai35a | 2422002 | 2555110 | 2720986 | 2803456 | 2925390 |\n| tai40a | 3139370 | 3281830 | 3529402 | 3668044 | 3727478 |",0]
["| WANG | 7501761836 |\n| --- | --- |\n| LIU | 36077269600 |\n| WANG | 8640586600 |\n| WANG | 55757783062 |\n| CHEN | 9639099600 |\n| LI | 55218828300 |","| WANG | 36072896000 |\n| --- | --- |\n| LI | 56002811300 |\n| WANG | 35178491000 |",1]
["| WANG | 7501761836 |\n| --- | --- |\n| LIU | 36077269600 |\n| WANG | 8640586600 |\n| WANG | 55757783062 |\n| CHEN | 9639099600 |\n| LI | 55218828300 |","| chr15c | 9504 | 16206 | 29862 | 23686 | 76318 |\n| --- | --- | --- | --- | --- | --- |\n| chr20b | 2298 | 5560 | 6674 | 6290 | 10022 |\n| chr22b | 6194 | 8500 | 9942 | 9658 | 13118 |\n| esc16b | 292 | 300 | 296 | 298 | 306 |\n| rou12 | 235528 | 256320 | 278834 | 273438 | 295752 |\n| rou15 | 354210 | 391270 | 381016 | 457908 | 480352 |\n| rou20 | 725522 | 778284 | 804676 | 840120 | 905246 |\n| tai10a | 135028 | 152534 | 165364 | 168096 | 189852 |\n| tai15a | 388214 | 419224 | 455778 | 451164 | 483596 |\n| tai17a | 491812 | 530978 | 550852 | 589814 | 620964 |\n| tai20a | 703482 | 753712 | 799790 | 871480 | 915144 |\n| tai30a | 1818146 | 1903872 | 1996442 | 2077958 | 2213846 |\n| tai35a | 2422002 | 2555110 | 2720986 | 2803456 | 2925390 |\n| tai40a | 3139370 | 3281830 | 3529402 | 3668044 | 3727478 |",0]
["| Name | Nodes | Edges | TriangleCount | ∆ | tmax | δee∈E(G) | 3∆t |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AS | 7,716 | 12,572 | 6,584 | 344 | 2,047 | 595,632 | 6,794,688 |\n| Oregon | 11,492 | 23,409 | 19,894 | 537 | 3,638 | 2,347,560 | 32,049,234 |\n| Enron | 36,692 | 183,831 | 727,044 | 420 | 17,744 | 75,237,684 | 916,075,440 |","| ca-HepPh | 12,008 | 118,489 | 3,358,499 | 450 | 39,633 | 1.8839×10 | 4.534×10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AstroPh | 18,772 | 198,050 | 1,351,441 | 350 | 11,269 | 148,765,753 | 1.419×10 |",1]
["| Name | Nodes | Edges | TriangleCount | ∆ | tmax | δee∈E(G) | 3∆t |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AS | 7,716 | 12,572 | 6,584 | 344 | 2,047 | 595,632 | 6,794,688 |\n| Oregon | 11,492 | 23,409 | 19,894 | 537 | 3,638 | 2,347,560 | 32,049,234 |\n| Enron | 36,692 | 183,831 | 727,044 | 420 | 17,744 | 75,237,684 | 916,075,440 |","| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| Name | Nodes | Edges | TriangleCount | ∆ | tmax | δee∈E(G) | 3∆t |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AS | 7,716 | 12,572 | 6,584 | 344 | 2,047 | 595,632 | 6,794,688 |\n| Oregon | 11,492 | 23,409 | 19,894 | 537 | 3,638 | 2,347,560 | 32,049,234 |\n| Enron | 36,692 | 183,831 | 727,044 | 420 | 17,744 | 75,237,684 | 916,075,440 |","| ca-HepPh | 12,008 | 118,489 | 3,358,499 | 450 | 39,633 | 1.8839×10 | 4.534×10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AstroPh | 18,772 | 198,050 | 1,351,441 | 350 | 11,269 | 148,765,753 | 1.419×10 |",1]
["| Name | Nodes | Edges | TriangleCount | ∆ | tmax | δee∈E(G) | 3∆t |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AS | 7,716 | 12,572 | 6,584 | 344 | 2,047 | 595,632 | 6,794,688 |\n| Oregon | 11,492 | 23,409 | 19,894 | 537 | 3,638 | 2,347,560 | 32,049,234 |\n| Enron | 36,692 | 183,831 | 727,044 | 420 | 17,744 | 75,237,684 | 916,075,440 |","| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| --- | --- | --- | --- |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfneutral,spouseneutral→passive:notcontemplated<br>myselfneutral,spouseneutral→normal:normal(absorbingstate)<br>myselfneutral,spouseneutral→upset:notcontemplated<br>myselfneutral,spouseneutral→violent:notcontemplated |","| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfneutral,spousepassive→passive:notcontemplated<br>myselfneutral,spousepassive→normal:default<br>myselfneutral,spousepassive→upset:notcontemplated<br>myselfneutral,spousepassive→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 1−a<br>0<br>a/4<br>3a/4 | myselfneutral,spouseupset→passive:notassertiveness<br>myselfneutral,spouseupset→normal:notcontemplated<br>myselfneutral,spouseupset→upset:assertiveness<br>myselfneutral,spouseupset→violent:aggressiveness |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 1−a<br>0<br>0<br>a | myselfneutral,spouseviolent→passive:notaggressiveness<br>myselfneutral,spouseviolent→normal:notcontemplated<br>myselfneutral,spouseviolent→upset:notcontemplated<br>myselfneutral,spouseviolent→violent:aggressiveness |",1]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfneutral,spouseneutral→passive:notcontemplated<br>myselfneutral,spouseneutral→normal:normal(absorbingstate)<br>myselfneutral,spouseneutral→upset:notcontemplated<br>myselfneutral,spouseneutral→violent:notcontemplated |","| s | si | sj | τ(s\\|s,s)3ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | s<br>0<br>1−s<br>0 | myselfupset,spouseneutral→passive:support<br>myselfupset,spouseneutral→neutral:notcontemplated<br>myselfupset,spouseneutral→upset:lackofsupport<br>myselfupset,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",0]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfneutral,spouseneutral→passive:notcontemplated<br>myselfneutral,spouseneutral→normal:normal(absorbingstate)<br>myselfneutral,spouseneutral→upset:notcontemplated<br>myselfneutral,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfneutral,spousepassive→passive:notcontemplated<br>myselfneutral,spousepassive→normal:default<br>myselfneutral,spousepassive→upset:notcontemplated<br>myselfneutral,spousepassive→violent:notcontemplated |","| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 1−a<br>0<br>a/4<br>3a/4 | myselfneutral,spouseupset→passive:notassertiveness<br>myselfneutral,spouseupset→normal:notcontemplated<br>myselfneutral,spouseupset→upset:assertiveness<br>myselfneutral,spouseupset→violent:aggressiveness |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 1−a<br>0<br>0<br>a | myselfneutral,spouseviolent→passive:notaggressiveness<br>myselfneutral,spouseviolent→normal:notcontemplated<br>myselfneutral,spouseviolent→upset:notcontemplated<br>myselfneutral,spouseviolent→violent:aggressiveness |",1]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfneutral,spouseneutral→passive:notcontemplated<br>myselfneutral,spouseneutral→normal:normal(absorbingstate)<br>myselfneutral,spouseneutral→upset:notcontemplated<br>myselfneutral,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfneutral,spousepassive→passive:notcontemplated<br>myselfneutral,spousepassive→normal:default<br>myselfneutral,spousepassive→upset:notcontemplated<br>myselfneutral,spousepassive→violent:notcontemplated |","| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",0]
["| Events | AUC | Events | AUC |\n| --- | --- | --- | --- |\n| Cheering | 0.759 | EngineNoise | 0.698 |\n| Children’sVoices | 0.767 | Hammering | 0.603 |\n| Clanking | 0.764 | Laughing | 0.632 |","| Clapping | 0.781 | MarchingBand | 0.618 |\n| --- | --- | --- | --- |\n| Drums | 0.601 | Scraping | 0.785 |\n| Mean | 0.701 |  |  |",1]
["| Events | AUC | Events | AUC |\n| --- | --- | --- | --- |\n| Cheering | 0.759 | EngineNoise | 0.698 |\n| Children’sVoices | 0.767 | Hammering | 0.603 |\n| Clanking | 0.764 | Laughing | 0.632 |","| Events | AUC(F)64 | AUC(F)128 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.638 |\n| Children’sVoices | 0.678 | 0.633 |\n| Clanking | 0.714 | 0.744 |\n| Clapping | 0.646 | 0.667 |\n| Drums | 0.60 | 0.636 |\n| EngineNoise | 0.623 | 0.642 |\n| Hammering | 0.557 | 0.587 |\n| Laughing | 0.527 | 0.540 |\n| MarchingBand | 0.551 | 0.554 |\n| Scraping | 0.723 | 0.735 |\n| Mean | 0.625 | 0.637 |",0]
["| Events | AUC | Events | AUC |\n| --- | --- | --- | --- |\n| Cheering | 0.759 | EngineNoise | 0.698 |\n| Children’sVoices | 0.767 | Hammering | 0.603 |\n| Clanking | 0.764 | Laughing | 0.632 |","| Clapping | 0.781 | MarchingBand | 0.618 |\n| --- | --- | --- | --- |\n| Drums | 0.601 | Scraping | 0.785 |\n| Mean | 0.701 |  |  |",1]
["| Events | AUC | Events | AUC |\n| --- | --- | --- | --- |\n| Cheering | 0.759 | EngineNoise | 0.698 |\n| Children’sVoices | 0.767 | Hammering | 0.603 |\n| Clanking | 0.764 | Laughing | 0.632 |","| Clanking | 0.714 | 0.744 |\n| --- | --- | --- |\n| Clapping | 0.646 | 0.667 |\n| Drums | 0.60 | 0.636 |\n| EngineNoise | 0.623 | 0.642 |\n| Hammering | 0.557 | 0.587 |\n| Laughing | 0.527 | 0.540 |\n| MarchingBand | 0.551 | 0.554 |\n| Scraping | 0.723 | 0.735 |\n| Mean | 0.625 | 0.637 |",0]
["| Scenario | Rank-1IdentiﬁcationRate |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Probe | PLS | DPM | CpNN | PLS◦DPM | PLS◦CpNN | CpDCNN |  |\n| Overall | Polar | 0.5867 | 0.8054 | 0.8290 | 0.8979 | 0.9045 | 0.9408 |\n| Therm | 0.5305 | 0.7531 | 0.7872 | 0.8409 | 0.8452 | 0.8857 |  |\n| Expressions | Polar | 0.5658 | 0.8324 | 0.8597 | 0.9565 | 0.9559 | 0.9637 |\n| Therm | 0.6276 | 0.7887 | 0.8213 | 0.8898 | 0.8907 | 0.9124 |  |","| Range1Baseline | Polar | 0.7410 | 0.9092 | 0.9207 | 0.9646 | 0.9646 | 0.9721 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Therm | 0.6211 | 0.8778 | 0.9102 | 0.9417 | 0.9388 | 0.9534 |  |\n| Range2Baseline | Polar | 0.5570 | 0.8229 | 0.8489 | 0.9105 | 0.9187 | 0.9317 |\n| Therm | 0.5197 | 0.7532 | 0.7904 | 0.8578 | 0.8586 | 0.8868 |  |\n| Range3Baseline | Polar | 0.3396 | 0.6033 | 0.6253 | 0.6445 | 0.6739 | 0.8346 |\n| Therm | 0.3448 | 0.5219 | 0.5588 | 0.5768 | 0.6014 | 0.7754 |  |",1]
["| Scenario | Rank-1IdentiﬁcationRate |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Probe | PLS | DPM | CpNN | PLS◦DPM | PLS◦CpNN | CpDCNN |  |\n| Overall | Polar | 0.5867 | 0.8054 | 0.8290 | 0.8979 | 0.9045 | 0.9408 |\n| Therm | 0.5305 | 0.7531 | 0.7872 | 0.8409 | 0.8452 | 0.8857 |  |\n| Expressions | Polar | 0.5658 | 0.8324 | 0.8597 | 0.9565 | 0.9559 | 0.9637 |\n| Therm | 0.6276 | 0.7887 | 0.8213 | 0.8898 | 0.8907 | 0.9124 |  |","| Sigma | Index | Methods |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Noisy | LSCD | CBM3D | WLRTR |  |  |\n| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |\n| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",0]
["| Scenario | Rank-1IdentiﬁcationRate |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Probe | PLS | DPM | CpNN | PLS◦DPM | PLS◦CpNN | CpDCNN |  |\n| Overall | Polar | 0.5867 | 0.8054 | 0.8290 | 0.8979 | 0.9045 | 0.9408 |\n| Therm | 0.5305 | 0.7531 | 0.7872 | 0.8409 | 0.8452 | 0.8857 |  |\n| Expressions | Polar | 0.5658 | 0.8324 | 0.8597 | 0.9565 | 0.9559 | 0.9637 |\n| Therm | 0.6276 | 0.7887 | 0.8213 | 0.8898 | 0.8907 | 0.9124 |  |\n| Range1Baseline | Polar | 0.7410 | 0.9092 | 0.9207 | 0.9646 | 0.9646 | 0.9721 |\n| Therm | 0.6211 | 0.8778 | 0.9102 | 0.9417 | 0.9388 | 0.9534 |  |\n| Range2Baseline | Polar | 0.5570 | 0.8229 | 0.8489 | 0.9105 | 0.9187 | 0.9317 |","| Therm | 0.5197 | 0.7532 | 0.7904 | 0.8578 | 0.8586 | 0.8868 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Range3Baseline | Polar | 0.3396 | 0.6033 | 0.6253 | 0.6445 | 0.6739 | 0.8346 |\n| Therm | 0.3448 | 0.5219 | 0.5588 | 0.5768 | 0.6014 | 0.7754 |  |",1]
["| Scenario | Rank-1IdentiﬁcationRate |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Probe | PLS | DPM | CpNN | PLS◦DPM | PLS◦CpNN | CpDCNN |  |\n| Overall | Polar | 0.5867 | 0.8054 | 0.8290 | 0.8979 | 0.9045 | 0.9408 |\n| Therm | 0.5305 | 0.7531 | 0.7872 | 0.8409 | 0.8452 | 0.8857 |  |\n| Expressions | Polar | 0.5658 | 0.8324 | 0.8597 | 0.9565 | 0.9559 | 0.9637 |\n| Therm | 0.6276 | 0.7887 | 0.8213 | 0.8898 | 0.8907 | 0.9124 |  |\n| Range1Baseline | Polar | 0.7410 | 0.9092 | 0.9207 | 0.9646 | 0.9646 | 0.9721 |\n| Therm | 0.6211 | 0.8778 | 0.9102 | 0.9417 | 0.9388 | 0.9534 |  |\n| Range2Baseline | Polar | 0.5570 | 0.8229 | 0.8489 | 0.9105 | 0.9187 | 0.9317 |","| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| --- | --- | --- | --- | --- | --- |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |\n| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",0]
["| Map | Algorithm | ea | e∞ | e˜a | e˜∞ | α | δ | θ |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| USA | diﬀusion<br>fastﬂow-based | 0.278<br>0.285 | 6.85<br>7.06 | 0.273<br>0.280 | 3.01<br>3.02 | 2.01<br>2.04 | 17.1<br>17.4 | 0.0388<br>0.0435 |\n| India | diﬀusion<br>fastﬂow-based | 0.190<br>0.191 | 3.95<br>3.18 | 0.185<br>0.187 | 2.59<br>2.34 | 2.45<br>2.40 | 39.0<br>39.7 | 0.0281<br>0.0290 |","| mainlandChina<br>andTaiwan | diﬀusion<br>fastﬂow-based | 0.590<br>0.570 | 5.07<br>8.16 | 0.553<br>0.530 | 2.83<br>3.07 | 2.33<br>2.19 | 18.6<br>20.6 | 0.0849<br>0.103 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kensington&<br>Chelsea(ageadj.) | diﬀusion<br>fastﬂow-based | 0.161<br>0.163 | 6.86<br>7.08 | 0.154<br>0.156 | 3.01<br>3.03 | 2.03<br>2.20 | 22.1<br>24.1 | 0.0589<br>0.0615 |",1]
["| Map | Algorithm | ea | e∞ | e˜a | e˜∞ | α | δ | θ |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| USA | diﬀusion<br>fastﬂow-based | 0.278<br>0.285 | 6.85<br>7.06 | 0.273<br>0.280 | 3.01<br>3.02 | 2.01<br>2.04 | 17.1<br>17.4 | 0.0388<br>0.0435 |\n| India | diﬀusion<br>fastﬂow-based | 0.190<br>0.191 | 3.95<br>3.18 | 0.185<br>0.187 | 2.59<br>2.34 | 2.45<br>2.40 | 39.0<br>39.7 | 0.0281<br>0.0290 |","| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |\n| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| Map | Algorithm | ea | e∞ | e˜a | e˜∞ | α | δ | θ |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| USA | diﬀusion<br>fastﬂow-based | 0.278<br>0.285 | 6.85<br>7.06 | 0.273<br>0.280 | 3.01<br>3.02 | 2.01<br>2.04 | 17.1<br>17.4 | 0.0388<br>0.0435 |","| India | diﬀusion<br>fastﬂow-based | 0.190<br>0.191 | 3.95<br>3.18 | 0.185<br>0.187 | 2.59<br>2.34 | 2.45<br>2.40 | 39.0<br>39.7 | 0.0281<br>0.0290 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mainlandChina<br>andTaiwan | diﬀusion<br>fastﬂow-based | 0.590<br>0.570 | 5.07<br>8.16 | 0.553<br>0.530 | 2.83<br>3.07 | 2.33<br>2.19 | 18.6<br>20.6 | 0.0849<br>0.103 |\n| Kensington&<br>Chelsea(ageadj.) | diﬀusion<br>fastﬂow-based | 0.161<br>0.163 | 6.86<br>7.08 | 0.154<br>0.156 | 3.01<br>3.03 | 2.03<br>2.20 | 22.1<br>24.1 | 0.0589<br>0.0615 |",1]
["| Map | Algorithm | ea | e∞ | e˜a | e˜∞ | α | δ | θ |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| USA | diﬀusion<br>fastﬂow-based | 0.278<br>0.285 | 6.85<br>7.06 | 0.273<br>0.280 | 3.01<br>3.02 | 2.01<br>2.04 | 17.1<br>17.4 | 0.0388<br>0.0435 |","| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>2<br>1024<br>True(dim300) |","| Image | imagesize<br>attentionmechanism<br>numberofunitsforattention | 224x224x3<br>spatial<br>512 |\n| --- | --- | --- |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 |",1]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>2<br>1024<br>True(dim300) |","|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False |\n| Objectcategory | numberofcategories<br>categorylook-uptabledimension | 90<br>512 |\n| Crop | cropsize<br>surroundingfactor | 224x224x3<br>1.1 |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| Fusionblock | numberofMLPhiddenunits | 512 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>1e-4<br>3<br>10<br>32 |",0]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>2<br>1024<br>True(dim300) |\n| Image | imagesize<br>attentionmechanism<br>numberofunitsforattention | 224x224x3<br>spatial<br>512 |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |","| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |\n| --- | --- | --- |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 |",1]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>2<br>1024<br>True(dim300) |\n| Image | imagesize<br>attentionmechanism<br>numberofunitsforattention | 224x224x3<br>spatial<br>512 |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |","| Crop | cropsize<br>surroundingfactor | 224x224x3<br>1.1 |\n| --- | --- | --- |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| Fusionblock | numberofMLPhiddenunits | 512 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>1e-4<br>3<br>10<br>32 |",0]
["| variable | Description |\n| --- | --- |\n| TreeSize | thesizeoftheB+tree |\n| T | thetotallevelsoftheB+tree.T=(log(M/K)/log(K+1)+1) |\n| L | thelevelsoftheB+treecanﬁtincache.EachslaveholdLlevelsoftheB+tree |","| W1 | thememorybandwidth647MB/s |\n| --- | --- |\n| W2 | thenetworkbandwidth138MB/s |\n| C2 | thesizeofL2cache |\n| BMissPenalty2 | thecostofloadingacachelinefromthememorytotheL2cache |\n| B2 | thesizeoftheL2cachelineinbytes |\n| BMissPenalty1 | thecostofloadingacachelinefromtheL2cachetoL1cache |\n| B1 | thesizeoftheL1cachelineinbytes |\n| CompCostNode | thecosttotraverseoneleveloftheB+treewhilesearchingakey |\n| NUMmasters | thenumberofmasternodes |\n| NUMslaves | thenumberofslavenodesthathavelowerLlevelsoftheB+treeinL2cache |\n| NUM | thenumberofsearchkeysinonebatchlookup |",1]
["| variable | Description |\n| --- | --- |\n| TreeSize | thesizeoftheB+tree |\n| T | thetotallevelsoftheB+tree.T=(log(M/K)/log(K+1)+1) |\n| L | thelevelsoftheB+treecanﬁtincache.EachslaveholdLlevelsoftheB+tree |","| Variable | Type | Meaning |\n| --- | --- | --- |\n| L | Continuous | thelengthofthebin |\n| W | Continuous | thewidthofthebin |\n| H | Continuous | theheightofthebin |\n| xi | Continuous | LBBcoordinateofitemiinxaxis |\n| yi | Continuous | LBBcoordinateofitemiinyaxis |\n| zi | Continuous | LBBcoordinateofitemiinzaxis |\n| sij | Binary | itemiisintheleftsideofitemjornot |\n| uij | Binary | itemiisunderitemjornot |\n| bij | Binary | itemiisinthebackofitemjornot |\n| δi1 | Binary | orientationofitemiisfront-upornot |\n| δi2 | Binary | orientationofitemiisfront-downornot |\n| δi3 | Binary | orientationofitemiisside-upornot |\n| δi4 | Binary | orientationofitemiisside-downornot |\n| δi5 | Binary | orientationofitemiisbuttom-upornot |\n| δi6 | Binary | orientationofitemiisbuttom-downornot |",0]
["| variable | Description |\n| --- | --- |\n| TreeSize | thesizeoftheB+tree |\n| T | thetotallevelsoftheB+tree.T=(log(M/K)/log(K+1)+1) |\n| L | thelevelsoftheB+treecanﬁtincache.EachslaveholdLlevelsoftheB+tree |\n| W1 | thememorybandwidth647MB/s |\n| W2 | thenetworkbandwidth138MB/s |\n| C2 | thesizeofL2cache |\n| BMissPenalty2 | thecostofloadingacachelinefromthememorytotheL2cache |\n| B2 | thesizeoftheL2cachelineinbytes |\n| BMissPenalty1 | thecostofloadingacachelinefromtheL2cachetoL1cache |\n| B1 | thesizeoftheL1cachelineinbytes |\n| CompCostNode | thecosttotraverseoneleveloftheB+treewhilesearchingakey |\n| NUMmasters | thenumberofmasternodes |","| NUMslaves | thenumberofslavenodesthathavelowerLlevelsoftheB+treeinL2cache |\n| --- | --- |\n| NUM | thenumberofsearchkeysinonebatchlookup |",1]
["| variable | Description |\n| --- | --- |\n| TreeSize | thesizeoftheB+tree |\n| T | thetotallevelsoftheB+tree.T=(log(M/K)/log(K+1)+1) |\n| L | thelevelsoftheB+treecanﬁtincache.EachslaveholdLlevelsoftheB+tree |\n| W1 | thememorybandwidth647MB/s |\n| W2 | thenetworkbandwidth138MB/s |\n| C2 | thesizeofL2cache |\n| BMissPenalty2 | thecostofloadingacachelinefromthememorytotheL2cache |\n| B2 | thesizeoftheL2cachelineinbytes |\n| BMissPenalty1 | thecostofloadingacachelinefromtheL2cachetoL1cache |\n| B1 | thesizeoftheL1cachelineinbytes |\n| CompCostNode | thecosttotraverseoneleveloftheB+treewhilesearchingakey |\n| NUMmasters | thenumberofmasternodes |","| uij | Binary | itemiisunderitemjornot |\n| --- | --- | --- |\n| bij | Binary | itemiisinthebackofitemjornot |\n| δi1 | Binary | orientationofitemiisfront-upornot |\n| δi2 | Binary | orientationofitemiisfront-downornot |\n| δi3 | Binary | orientationofitemiisside-upornot |\n| δi4 | Binary | orientationofitemiisside-downornot |\n| δi5 | Binary | orientationofitemiisbuttom-upornot |\n| δi6 | Binary | orientationofitemiisbuttom-downornot |",0]
["| PatientID | GrayMatter | WhiteMatter |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | C-0 | C-1 | C-2 | C-3 | C-4 | C-5 | C-6 | C-7 | C-8 |\n| B1 | 74,486 | 900 | 247 | 3,428 | 570 | 358 | 120 | 274 | 111 |","| B2 | 75,384 | 462 | 868 | 1,937 | 374 | 246 | 497 | 107 | 125 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B3 | 74,834 | 525 | 782 | 2,225 | 788 | 116 | 618 | 46 | 66 |",1]
["| PatientID | GrayMatter | WhiteMatter |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | C-0 | C-1 | C-2 | C-3 | C-4 | C-5 | C-6 | C-7 | C-8 |\n| B1 | 74,486 | 900 | 247 | 3,428 | 570 | 358 | 120 | 274 | 111 |","| patientname | age | id | trestbps | chol | thalach |\n| --- | --- | --- | --- | --- | --- |\n| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |\n| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) |\n| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",0]
["| PatientID | GrayMatter | WhiteMatter |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | C-0 | C-1 | C-2 | C-3 | C-4 | C-5 | C-6 | C-7 | C-8 |","| B1 | 74,486 | 900 | 247 | 3,428 | 570 | 358 | 120 | 274 | 111 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B2 | 75,384 | 462 | 868 | 1,937 | 374 | 246 | 497 | 107 | 125 |\n| B3 | 74,834 | 525 | 782 | 2,225 | 788 | 116 | 618 | 46 | 66 |",1]
["| PatientID | GrayMatter | WhiteMatter |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | C-0 | C-1 | C-2 | C-3 | C-4 | C-5 | C-6 | C-7 | C-8 |","| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| --- | --- | --- | --- | --- | --- |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",0]
["|  | Wordsnetwork |  |\n| --- | --- | --- |\n|  | F1measure | Accuracy |\n| wvRN | 0.4216 | 0.5289 |","| MRF | 0.4411 | 0.4614 |\n| --- | --- | --- |\n| SBSN | 0.7462 | 0.7484 |",1]
["|  | Wordsnetwork |  |\n| --- | --- | --- |\n|  | F1measure | Accuracy |\n| wvRN | 0.4216 | 0.5289 |","|  | Citeseernetwork | Coranetwork |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1 | Accuracy | F1 | Accuracy |\n| MF | 0.6291 | 0.7267 | 0.7970 | 0.8261 |\n| LBP | 0.6264 | 0.7294 | 0.8248 | 0.8449 |\n| Stacked | - | 0.598 | - | 0.739 |\n| SBSN | 0.6705 | 0.7029 | 0.8420 | 0.8519 |",0]
["|  | Wordsnetwork |  |\n| --- | --- | --- |\n|  | F1measure | Accuracy |","| wvRN | 0.4216 | 0.5289 |\n| --- | --- | --- |\n| MRF | 0.4411 | 0.4614 |\n| SBSN | 0.7462 | 0.7484 |",1]
["|  | Wordsnetwork |  |\n| --- | --- | --- |\n|  | F1measure | Accuracy |","| Stacked | - | 0.598 | - | 0.739 |\n| --- | --- | --- | --- | --- |\n| SBSN | 0.6705 | 0.7029 | 0.8420 | 0.8519 |",0]
["| identity | 1 | 2 | 3 | 4 | 5 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| attrithres | 4.5946 | 4.1696 | 4.0039 | 4.4526 | 3.5100 |  |  |  |  |  |\n| Test | label | Sim | label | Sim | label | Sim | label | Sim | label | Sim |\n| X1 | 1 | 2.1773 | 2 | 2.0454 | 3 | 3.2711 | 4 | 1.9933 | 5 | 2.1834 |","| X2 | 1 | 2.6458 | 2 | 1.7975 | 3 | 2.9305 | 4 | 1.8047 | 5 | 2.2325 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| X3 | 1 | 2.3152 | 2 | 2.507 | 3 | 2.1742 | 4 | 3.8357 | 5 | 3.3121 |\n| X4 | 1 | 2.332 | 2 | 2.0656 | 3 | 3.7265 | 4 | 3.4721 | * | \\ |\n| X5 | 1 | 3.2519 | 2 | 3.9128 | 3 | 2.6567 | 4 | 1.6642 | 3 | 3.5643 |\n| X6 | 0 | \\ | 2 | 1.5454 | 3 | 3.1565 | 4 | 2.3439 | 5 | 2.5769 |\n| X7 | 1 | 3.5434 | 2 | 1.8358 | 3 | 2.219 | 4 | 2.9189 | * | \\ |\n| X8 | 1 | 3.1574 | 2 | 2.317 | 0 | \\ | 4 | 3.1242 | * | \\ |",1]
["| identity | 1 | 2 | 3 | 4 | 5 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| attrithres | 4.5946 | 4.1696 | 4.0039 | 4.4526 | 3.5100 |  |  |  |  |  |\n| Test | label | Sim | label | Sim | label | Sim | label | Sim | label | Sim |\n| X1 | 1 | 2.1773 | 2 | 2.0454 | 3 | 3.2711 | 4 | 1.9933 | 5 | 2.1834 |","| Alg. | H | AT | LWT | RWT |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |\n| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",0]
["| identity | 1 | 2 | 3 | 4 | 5 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| attrithres | 4.5946 | 4.1696 | 4.0039 | 4.4526 | 3.5100 |  |  |  |  |  |\n| Test | label | Sim | label | Sim | label | Sim | label | Sim | label | Sim |","| X1 | 1 | 2.1773 | 2 | 2.0454 | 3 | 3.2711 | 4 | 1.9933 | 5 | 2.1834 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| X2 | 1 | 2.6458 | 2 | 1.7975 | 3 | 2.9305 | 4 | 1.8047 | 5 | 2.2325 |\n| X3 | 1 | 2.3152 | 2 | 2.507 | 3 | 2.1742 | 4 | 3.8357 | 5 | 3.3121 |\n| X4 | 1 | 2.332 | 2 | 2.0656 | 3 | 3.7265 | 4 | 3.4721 | * | \\ |\n| X5 | 1 | 3.2519 | 2 | 3.9128 | 3 | 2.6567 | 4 | 1.6642 | 3 | 3.5643 |\n| X6 | 0 | \\ | 2 | 1.5454 | 3 | 3.1565 | 4 | 2.3439 | 5 | 2.5769 |\n| X7 | 1 | 3.5434 | 2 | 1.8358 | 3 | 2.219 | 4 | 2.9189 | * | \\ |\n| X8 | 1 | 3.1574 | 2 | 2.317 | 0 | \\ | 4 | 3.1242 | * | \\ |",1]
["| identity | 1 | 2 | 3 | 4 | 5 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| attrithres | 4.5946 | 4.1696 | 4.0039 | 4.4526 | 3.5100 |  |  |  |  |  |\n| Test | label | Sim | label | Sim | label | Sim | label | Sim | label | Sim |","| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",0]
["| brandname | #images | brandname | #images | brandname | #images | brandname |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3T | 289 | coco | 547 | kingston | 1100 | otterbox |","| Girdear | 531 | converse | 2259 | kisscat | 534 | patekphilippe |\n| --- | --- | --- | --- | --- | --- | --- |\n| IWC | 580 | d&g | 892 | l.f.c | 1087 | paulfrank |\n| ManchesterUnited | 534 | dior | 513 | lacoste | 921 | pinarello |\n| Piaget | 501 | dunhill | 515 | lamborghini | 1176 | prada |\n| UGG | 501 | edwin | 583 | lee | 564 | puma |\n| YSL | 1016 | elementcase | 566 | lego | 976 | ralphlauren |\n| abercrombie&ﬁtch | 681 | esprit | 489 | levi’s | 1002 | rapha |\n| adidas | 977 | evisu | 493 | loewe | 984 | rayban |\n| airJordan | 534 | fendi | 977 | longines | 538 | rolex |\n| armani | 1755 | ferragamo | 546 | louisvuitton | 789 | samsonite |\n| arsenal | 766 | ﬁveplus | 660 | mcm | 687 | sandisk |\n| asics | 528 | focust25 | 209 | michaelKors | 933 | septwolves |\n| beats | 577 | fsa | 355 | miumiu | 484 | spy |\n| belle | 527 | g-shock | 529 | mulberry | 806 | st&sat |\n| blackberry | 535 | gap | 548 | newbalance | 897 | stuartweitzman |\n| bottegaveneta | 600 | goyard | 1000 | newera | 1124 | tata |\n| calvinklein | 863 | gucci | 717 | nike | 893 | teemix |\n| camel | 697 | guess | 527 | nikon | 540 | thenorthface |\n| cartier | 799 | harleydavidson | 653 | nintendo | 927 | tissot |\n| casio | 585 | hermes | 1476 | nissan | 779 | tommyhilﬁger |\n| celine | 500 | honda | 1079 | oldnavy | 653 | tudor |\n| chanel | 816 | iphone | 836 | omega | 646 | vans |\n| coach | 898 | joy&peace | 496 | only | 515 | versace |\n| cocacola | 629 | katespade | 552 | oakley | 556 | zenith |",1]
["| brandname | #images | brandname | #images | brandname | #images | brandname |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3T | 289 | coco | 547 | kingston | 1100 | otterbox |","| Year | Bottega<br>Veneta | Burberr<br>Prorsum | Dior<br>Homme | Emporio<br>Armani | Erme.<br>Zegna | Givench | Gucci | Hermes | John<br>Varva | Louis<br>Vuitt | Neil<br>Barret | Prad | Thom<br>Brow |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2008 | 78 | 80 | 51 | 187 | 0 | 38 | 87 | 87 | 46 | 109 | 70 | 83 | 103 |\n| 2009 | 54 | 87 | 79 | 202 | 58 | 57 | 89 | 46 | 36 | 94 | 70 | 89 | 111 |\n| 2010 | 79 | 78 | 80 | 155 | 62 | 55 | 89 | 80 | 49 | 104 | 67 | 74 | 81 |\n| 2011 | 74 | 83 | 75 | 157 | 103 | 70 | 85 | 43 | 81 | 98 | 71 | 79 | 83 |\n| 2012 | 74 | 79 | 79 | 148 | 81 | 79 | 73 | 83 | 70 | 79 | 73 | 84 | 86 |\n| 2013 | 86 | 85 | 79 | 135 | 73 | 57 | 79 | 66 | 65 | 79 | 68 | 76 | 79 |\n| 2014 | 88 | 85 | 82 | 192 | 79 | 100 | 75 | 81 | 71 | 83 | 76 | 73 | 82 |\n| 2015 | 82 | 85 | 80 | 150 | 80 | 104 | 72 | 72 | 75 | 76 | 76 | 65 | 81 |",0]
["| brandname | #images | brandname | #images | brandname | #images | brandname |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3T | 289 | coco | 547 | kingston | 1100 | otterbox |\n| Girdear | 531 | converse | 2259 | kisscat | 534 | patekphilippe |\n| IWC | 580 | d&g | 892 | l.f.c | 1087 | paulfrank |\n| ManchesterUnited | 534 | dior | 513 | lacoste | 921 | pinarello |\n| Piaget | 501 | dunhill | 515 | lamborghini | 1176 | prada |\n| UGG | 501 | edwin | 583 | lee | 564 | puma |\n| YSL | 1016 | elementcase | 566 | lego | 976 | ralphlauren |\n| abercrombie&ﬁtch | 681 | esprit | 489 | levi’s | 1002 | rapha |\n| adidas | 977 | evisu | 493 | loewe | 984 | rayban |\n| airJordan | 534 | fendi | 977 | longines | 538 | rolex |\n| armani | 1755 | ferragamo | 546 | louisvuitton | 789 | samsonite |\n| arsenal | 766 | ﬁveplus | 660 | mcm | 687 | sandisk |\n| asics | 528 | focust25 | 209 | michaelKors | 933 | septwolves |\n| beats | 577 | fsa | 355 | miumiu | 484 | spy |\n| belle | 527 | g-shock | 529 | mulberry | 806 | st&sat |\n| blackberry | 535 | gap | 548 | newbalance | 897 | stuartweitzman |\n| bottegaveneta | 600 | goyard | 1000 | newera | 1124 | tata |\n| calvinklein | 863 | gucci | 717 | nike | 893 | teemix |\n| camel | 697 | guess | 527 | nikon | 540 | thenorthface |","| cartier | 799 | harleydavidson | 653 | nintendo | 927 | tissot |\n| --- | --- | --- | --- | --- | --- | --- |\n| casio | 585 | hermes | 1476 | nissan | 779 | tommyhilﬁger |\n| celine | 500 | honda | 1079 | oldnavy | 653 | tudor |\n| chanel | 816 | iphone | 836 | omega | 646 | vans |\n| coach | 898 | joy&peace | 496 | only | 515 | versace |\n| cocacola | 629 | katespade | 552 | oakley | 556 | zenith |",1]
["| brandname | #images | brandname | #images | brandname | #images | brandname |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3T | 289 | coco | 547 | kingston | 1100 | otterbox |\n| Girdear | 531 | converse | 2259 | kisscat | 534 | patekphilippe |\n| IWC | 580 | d&g | 892 | l.f.c | 1087 | paulfrank |\n| ManchesterUnited | 534 | dior | 513 | lacoste | 921 | pinarello |\n| Piaget | 501 | dunhill | 515 | lamborghini | 1176 | prada |\n| UGG | 501 | edwin | 583 | lee | 564 | puma |\n| YSL | 1016 | elementcase | 566 | lego | 976 | ralphlauren |\n| abercrombie&ﬁtch | 681 | esprit | 489 | levi’s | 1002 | rapha |\n| adidas | 977 | evisu | 493 | loewe | 984 | rayban |\n| airJordan | 534 | fendi | 977 | longines | 538 | rolex |\n| armani | 1755 | ferragamo | 546 | louisvuitton | 789 | samsonite |\n| arsenal | 766 | ﬁveplus | 660 | mcm | 687 | sandisk |\n| asics | 528 | focust25 | 209 | michaelKors | 933 | septwolves |\n| beats | 577 | fsa | 355 | miumiu | 484 | spy |\n| belle | 527 | g-shock | 529 | mulberry | 806 | st&sat |\n| blackberry | 535 | gap | 548 | newbalance | 897 | stuartweitzman |\n| bottegaveneta | 600 | goyard | 1000 | newera | 1124 | tata |\n| calvinklein | 863 | gucci | 717 | nike | 893 | teemix |\n| camel | 697 | guess | 527 | nikon | 540 | thenorthface |","| 2013 | 86 | 85 | 79 | 135 | 73 | 57 | 79 | 66 | 65 | 79 | 68 | 76 | 79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2014 | 88 | 85 | 82 | 192 | 79 | 100 | 75 | 81 | 71 | 83 | 76 | 73 | 82 |\n| 2015 | 82 | 85 | 80 | 150 | 80 | 104 | 72 | 72 | 75 | 76 | 76 | 65 | 81 |",0]
["|  | masksize | rank-1 | mAP |\n| --- | --- | --- | --- |\n| Pool1 | 56×56 | 85.99 | 67.12 |\n| Res2 | 56×56 | 85.15 | 65.84 |","| Res3 | 28×28 | 84.23 | 65.16 |\n| --- | --- | --- | --- |\n| Res4 | 14×14 | 82.39 | 61.95 |",1]
["|  | masksize | rank-1 | mAP |\n| --- | --- | --- | --- |\n| Pool1 | 56×56 | 85.99 | 67.12 |\n| Res2 | 56×56 | 85.15 | 65.84 |","| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |\n| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["|  | masksize | rank-1 | mAP |\n| --- | --- | --- | --- |\n| Pool1 | 56×56 | 85.99 | 67.12 |","| Res2 | 56×56 | 85.15 | 65.84 |\n| --- | --- | --- | --- |\n| Res3 | 28×28 | 84.23 | 65.16 |\n| Res4 | 14×14 | 82.39 | 61.95 |",1]
["|  | masksize | rank-1 | mAP |\n| --- | --- | --- | --- |\n| Pool1 | 56×56 | 85.99 | 67.12 |","| pool2 | 3×3 | - | - | 2×2 | 13×13 |\n| --- | --- | --- | --- | --- | --- |\n| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["| Network | #ofnodes | 56,969 |\n| --- | --- | --- |\n|  | #ofedges | 84,190 |\n|  | Nodedegreedistribution | Power-Law(PL) |\n|  | PLexponent | ≈1.8 |\n|  | meannodedegree<k> | 2.96 |","|  | nodedegree2ndmoment<k> | 174.937 |\n| --- | --- | --- |\n|  | approximatepercolationthreshold(q)≈2c | .0169 |\n|  | time-to-live(ttl) | 50 |\n| SimulationParam. | #ofarrivalsofthesamespam | 500 |\n|  | threshold(#ofhitsneededtoidentifyspam) | 2 |\n|  | percolationprobabilitytrials | [.00625.0125.025.05.05...] |\n|  | #ofruns | 30 |\n| ThreatModel | #oftimesteps | 25 |\n|  | #ofmaliciousnodesinsertedpertimestep | 10 |\n|  | total#ofmailinglists | 50,000 |\n|  | Zipfcoeﬃcient | 0.8 |\n|  | #ofnon-spamsqueriedpertimestep(x) | 1,000 |\n|  | m,numberofitemsonablacklist | 10 |",1]
["| Network | #ofnodes | 56,969 |\n| --- | --- | --- |\n|  | #ofedges | 84,190 |\n|  | Nodedegreedistribution | Power-Law(PL) |\n|  | PLexponent | ≈1.8 |\n|  | meannodedegree<k> | 2.96 |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Network | #ofnodes | 56,969 |\n| --- | --- | --- |\n|  | #ofedges | 84,190 |\n|  | Nodedegreedistribution | Power-Law(PL) |\n|  | PLexponent | ≈1.8 |\n|  | meannodedegree<k> | 2.96 |\n|  | nodedegree2ndmoment<k> | 174.937 |\n|  | approximatepercolationthreshold(q)≈2c | .0169 |\n|  | time-to-live(ttl) | 50 |\n| SimulationParam. | #ofarrivalsofthesamespam | 500 |\n|  | threshold(#ofhitsneededtoidentifyspam) | 2 |\n|  | percolationprobabilitytrials | [.00625.0125.025.05.05...] |\n|  | #ofruns | 30 |\n| ThreatModel | #oftimesteps | 25 |","|  | #ofmaliciousnodesinsertedpertimestep | 10 |\n| --- | --- | --- |\n|  | total#ofmailinglists | 50,000 |\n|  | Zipfcoeﬃcient | 0.8 |\n|  | #ofnon-spamsqueriedpertimestep(x) | 1,000 |\n|  | m,numberofitemsonablacklist | 10 |",1]
["| Network | #ofnodes | 56,969 |\n| --- | --- | --- |\n|  | #ofedges | 84,190 |\n|  | Nodedegreedistribution | Power-Law(PL) |\n|  | PLexponent | ≈1.8 |\n|  | meannodedegree<k> | 2.96 |\n|  | nodedegree2ndmoment<k> | 174.937 |\n|  | approximatepercolationthreshold(q)≈2c | .0169 |\n|  | time-to-live(ttl) | 50 |\n| SimulationParam. | #ofarrivalsofthesamespam | 500 |\n|  | threshold(#ofhitsneededtoidentifyspam) | 2 |\n|  | percolationprobabilitytrials | [.00625.0125.025.05.05...] |\n|  | #ofruns | 30 |\n| ThreatModel | #oftimesteps | 25 |","| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| --- | --- | --- | --- |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Comparison | Metric | Test | p−value | Mean1 | Mean2 |\n| --- | --- | --- | --- | --- | --- |\n| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |\n| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |\n| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 |\n| discr./contin. | accuracy | greater | <2.2e−16 | 0.62 | 0.61 |\n| iamb/hcloglik | sensitivity | less | <2.2e−16 | 0.02 | 0.59 |\n| iamb/hcloglik | speciﬁcity | greater | <2.2e−16 | 0.98 | 0.38 |","| ga/hc | sensitivity | less | <2.2e−16 | 0.24 | 0.32 |\n| --- | --- | --- | --- | --- | --- |\n| ga/hc | speciﬁcity | greater | <2.2e−16 | 0.79 | 0.71 |",1]
["| Comparison | Metric | Test | p−value | Mean1 | Mean2 |\n| --- | --- | --- | --- | --- | --- |\n| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |\n| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |\n| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 |\n| discr./contin. | accuracy | greater | <2.2e−16 | 0.62 | 0.61 |\n| iamb/hcloglik | sensitivity | less | <2.2e−16 | 0.02 | 0.59 |\n| iamb/hcloglik | speciﬁcity | greater | <2.2e−16 | 0.98 | 0.38 |","| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |\n| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["| Comparison | Metric | Test | p−value | Mean1 | Mean2 |\n| --- | --- | --- | --- | --- | --- |\n| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |\n| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |\n| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 |","| discr./contin. | accuracy | greater | <2.2e−16 | 0.62 | 0.61 |\n| --- | --- | --- | --- | --- | --- |\n| iamb/hcloglik | sensitivity | less | <2.2e−16 | 0.02 | 0.59 |\n| iamb/hcloglik | speciﬁcity | greater | <2.2e−16 | 0.98 | 0.38 |\n| ga/hc | sensitivity | less | <2.2e−16 | 0.24 | 0.32 |\n| ga/hc | speciﬁcity | greater | <2.2e−16 | 0.79 | 0.71 |",1]
["| Comparison | Metric | Test | p−value | Mean1 | Mean2 |\n| --- | --- | --- | --- | --- | --- |\n| density0.4/0.8 | accuracy | greater | <2.2e−16 | 0.68 | 0.55 |\n| nodes10/15 | accuracy | less | <2.2e−16 | 0.61 | 0.62 |\n| nodes10/15 | Hamming | less | <2.2e−16 | 17.40 | 39.54 |","| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["| Patient’sID | ThemedicaleventsFortheﬁrstpatient |\n| --- | --- |\n| a670605Up,a670602uS | 1B8 |\n| a6732002X,a673200WF | 17Z |\n| a6732002X,a673201@y | 17Z |\n| a673200tm,a673201j7 | ZL5 |\n| a673201@y,673200WF | 17Z |\n| a673201Wt,a6732025y | 740 |\n| a673201wI,a678701pI | H05 |","| a67340327,a681001KN | 171 |\n| --- | --- |\n| a677505bO,a677505pe | 8B3 |\n| a683104@Y,677505bO | 8B3 |\n| a683104@Y,a677505pe | 8B3 |\n| a673201wI,a777805mH | H05 |\n| a673402zw,a683105Bk | H17,8B3 |\n| a678701pI,a777805mH | H05 |\n| a791600uB,a777806FG | H17 |\n| a7916065T,a777800Gj | A78 |",1]
["| Patient’sID | ThemedicaleventsFortheﬁrstpatient |\n| --- | --- |\n| a670605Up,a670602uS | 1B8 |\n| a6732002X,a673200WF | 17Z |\n| a6732002X,a673201@y | 17Z |\n| a673200tm,a673201j7 | ZL5 |\n| a673201@y,673200WF | 17Z |\n| a673201Wt,a6732025y | 740 |\n| a673201wI,a678701pI | H05 |","| patient’sID | Euclidean | Minkowski | Manhattan | Hamming | EditDistance |\n| --- | --- | --- | --- | --- | --- |\n| a670605Up,a670602uS | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a6732002X,a673201@y | 0 | 0 | 0 | 0 | 0.25 |\n| a673200tm,a673201j7 | 0 | 0 | 0 | 0 | 0.25 |\n| a673201@y,673200WF | 0 | 0 | 0 | 0 | 0.25 |\n| a673201Wt,a6732025y | 0 | 0 | 0 | 0 | 0.25 |\n| a673201wI,a678701pI | 0 | 0 | 0 | 0 | 0.6666 |\n| a67340327,a681001KN | 0 | 0 | 0 | 0 | 0.25 |\n| a677505bO,a677505pe | 0 | 0 | 0 | 0 | 0.25 |\n| a683104@Y,677505bO | 0 | 0 | 0 | 0 | 0.6666 |\n| a683104@Y,a677505pe | 0 | 0 | 0 | 0 | 0.6666 |\n| a673201wI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |\n| a673402zw,a683105Bk | 0 | 0 | 0 | 0 | 0.25 |\n| a678701pI,a777805mH | 0 | 0 | 0 | 0 | 0.25 |\n| a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |\n| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 |",0]
["| Patient’sID | ThemedicaleventsFortheﬁrstpatient |\n| --- | --- |\n| a670605Up,a670602uS | 1B8 |\n| a6732002X,a673200WF | 17Z |\n| a6732002X,a673201@y | 17Z |\n| a673200tm,a673201j7 | ZL5 |\n| a673201@y,673200WF | 17Z |\n| a673201Wt,a6732025y | 740 |\n| a673201wI,a678701pI | H05 |\n| a67340327,a681001KN | 171 |\n| a677505bO,a677505pe | 8B3 |\n| a683104@Y,677505bO | 8B3 |\n| a683104@Y,a677505pe | 8B3 |","| a673201wI,a777805mH | H05 |\n| --- | --- |\n| a673402zw,a683105Bk | H17,8B3 |\n| a678701pI,a777805mH | H05 |\n| a791600uB,a777806FG | H17 |\n| a7916065T,a777800Gj | A78 |",1]
["| Patient’sID | ThemedicaleventsFortheﬁrstpatient |\n| --- | --- |\n| a670605Up,a670602uS | 1B8 |\n| a6732002X,a673200WF | 17Z |\n| a6732002X,a673201@y | 17Z |\n| a673200tm,a673201j7 | ZL5 |\n| a673201@y,673200WF | 17Z |\n| a673201Wt,a6732025y | 740 |\n| a673201wI,a678701pI | H05 |\n| a67340327,a681001KN | 171 |\n| a677505bO,a677505pe | 8B3 |\n| a683104@Y,677505bO | 8B3 |\n| a683104@Y,a677505pe | 8B3 |","| a791600uB,a777806FG | 0 | 0 | 0 | 0 | 0.25 |\n| --- | --- | --- | --- | --- | --- |\n| a7916065T,a777800Gj | 0 | 0 | 0 | 0 | 0.25 |",0]
["|  | VIPeR | CUHK01 | PRID450s |\n| --- | --- | --- | --- |\n| No.ofimages | 1264 | 3884 | 900 |\n| No.ofidentities | 632 | 971 | 450 |\n| No.ofimagesintrainingset | 316 | 485 | 225 |","| No.ofcameraviews | 2 | 2 | 2 |\n| --- | --- | --- | --- |\n| No.ofimagesperviewperID | 1 | 2 | 1 |",1]
["|  | VIPeR | CUHK01 | PRID450s |\n| --- | --- | --- | --- |\n| No.ofimages | 1264 | 3884 | 900 |\n| No.ofidentities | 632 | 971 | 450 |\n| No.ofimagesintrainingset | 316 | 485 | 225 |","| Imageandscheme | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| PlainLena | 0.9481 | 0.9737 | 0.9244 |\n| EncryptedLena | −0.0014 | 0.0025 | 0.0051 |\n| PlainBaboon | 0.8701 | 0.8411 | 0.7889 |\n| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |\n| PlainCameraman | 0.9556 | 0.9738 | 0.934 |\n| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |\n| PlainPirate | 0.9434 | 0.9564 | 0.9134 |\n| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |",0]
["|  | VIPeR | CUHK01 | PRID450s |\n| --- | --- | --- | --- |\n| No.ofimages | 1264 | 3884 | 900 |","| No.ofidentities | 632 | 971 | 450 |\n| --- | --- | --- | --- |\n| No.ofimagesintrainingset | 316 | 485 | 225 |\n| No.ofcameraviews | 2 | 2 | 2 |\n| No.ofimagesperviewperID | 1 | 2 | 1 |",1]
["|  | VIPeR | CUHK01 | PRID450s |\n| --- | --- | --- | --- |\n| No.ofimages | 1264 | 3884 | 900 |","| PlainBaboon | 0.8701 | 0.8411 | 0.7889 |\n| --- | --- | --- | --- |\n| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |\n| PlainCameraman | 0.9556 | 0.9738 | 0.934 |\n| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |\n| PlainPirate | 0.9434 | 0.9564 | 0.9134 |\n| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |",0]
["| Coeﬃcients |  |  |  |\n| --- | --- | --- | --- |\n| ScalingScenario | w2 | w1 | w0 |\n| Figure?? | 0.0109 | 0.2013 | 50.2 |\n| Figure?? | -0.0002161 | 0.05584 | 49.32 |","| Figure?? | 0.01358 | 0.3637 | 51.61 |\n| --- | --- | --- | --- |\n| Figure?? | 0.0003889 | 0.04552 | 66.85 |\n| Figure?? | -1.159e-05 | 0.1038 | 46.92 |\n| Figure?? | 2.837e-05 | 0.008834 | 47.05 |\n| Figure?? | -0.002184 | 0.04266 | 49.07 |\n| Figure?? | 0.007889 | 0.1701 | 50.31 |\n| Figure?? | 0.1402 | 2.375 | 56.91 |\n| Figure?? | 0.03394 | 0.6107 | 53.26 |",1]
["| Coeﬃcients |  |  |  |\n| --- | --- | --- | --- |\n| ScalingScenario | w2 | w1 | w0 |\n| Figure?? | 0.0109 | 0.2013 | 50.2 |\n| Figure?? | -0.0002161 | 0.05584 | 49.32 |","| Noisecoeﬃcient | horizontal | vertical |\n| --- | --- | --- |\n| 0.01 | 1.2992 | 1.2739 |\n| 0.03 | 1.5758 | 1.2661 |\n| 0.05 | 2.0938 | 1.2753 |\n| 0.07 | 2.3385 | 1.3668 |",0]
["| Coeﬃcients |  |  |  |\n| --- | --- | --- | --- |\n| ScalingScenario | w2 | w1 | w0 |\n| Figure?? | 0.0109 | 0.2013 | 50.2 |\n| Figure?? | -0.0002161 | 0.05584 | 49.32 |\n| Figure?? | 0.01358 | 0.3637 | 51.61 |","| Figure?? | 0.0003889 | 0.04552 | 66.85 |\n| --- | --- | --- | --- |\n| Figure?? | -1.159e-05 | 0.1038 | 46.92 |\n| Figure?? | 2.837e-05 | 0.008834 | 47.05 |\n| Figure?? | -0.002184 | 0.04266 | 49.07 |\n| Figure?? | 0.007889 | 0.1701 | 50.31 |\n| Figure?? | 0.1402 | 2.375 | 56.91 |\n| Figure?? | 0.03394 | 0.6107 | 53.26 |",1]
["| Coeﬃcients |  |  |  |\n| --- | --- | --- | --- |\n| ScalingScenario | w2 | w1 | w0 |\n| Figure?? | 0.0109 | 0.2013 | 50.2 |\n| Figure?? | -0.0002161 | 0.05584 | 49.32 |\n| Figure?? | 0.01358 | 0.3637 | 51.61 |","| 0.05 | 2.0938 | 1.2753 |\n| --- | --- | --- |\n| 0.07 | 2.3385 | 1.3668 |",0]
["| Sentence |\n| --- |\n| Danieljourneyedtothebathroom. |\n| ASPRepresentationOi |","| index(1..5).lemma(1,daniel).pos(1,nn).lemma(2,journey).pos(2,vbd).lemma(3,to).<br>pos(3,to).lemma(4,the).pos(4,dt).lemma(5,bathroom).pos(5,nn). |\n| --- |\n| PositiveExamplesE |\n| arg1(journey01,daniel),arg2(journey01,bathroom). |\n| PositiveExamplesE |\n| anypossibleoutputthatisnotinE. |",1]
["| Sentence |\n| --- |\n| Danieljourneyedtothebathroom. |\n| ASPRepresentationOi |","| Case | Behavior | Example | Desirable? |\n| --- | --- | --- | --- |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisunnecessaryforobjective | Breakingavasewhilecarrying<br>abox(seeExample??) | No |\n| ?? | Causingirreversibleeﬀectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |\n| ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |\n| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseoﬀtheconveyor<br>belt(seeExample??) | Yes |",0]
["| Sentence |\n| --- |\n| Danieljourneyedtothebathroom. |","| ASPRepresentationOi |\n| --- |\n| index(1..5).lemma(1,daniel).pos(1,nn).lemma(2,journey).pos(2,vbd).lemma(3,to).<br>pos(3,to).lemma(4,the).pos(4,dt).lemma(5,bathroom).pos(5,nn). |\n| PositiveExamplesE |\n| arg1(journey01,daniel),arg2(journey01,bathroom). |\n| PositiveExamplesE |\n| anypossibleoutputthatisnotinE. |",1]
["| Sentence |\n| --- |\n| Danieljourneyedtothebathroom. |","| ?? | Causingirreversibleeﬀectswhen<br>doingsoisrequiredforobjective | Breakingeggsforomelette<br>(seeExample??) | Yes |\n| --- | --- | --- | --- |\n| ?? | Preventingirreversibleeventswhen<br>doingsoisunnecessaryforobjective | Stoppingahumanfromeating<br>sushi(seeExample??) | No |\n| ?? | Preventingirreversibleeventswhen<br>doingsoisrequiredforobjective | Takingavaseoﬀtheconveyor<br>belt(seeExample??) | Yes |",0]
["| Layertype | Subnet(CIDR) | IPRange |\n| --- | --- | --- |\n| ConvolutionalLayer | 0.0/4 | 0.0-15.255 |","| Fully-ConnectedLayer | 16.0/5 | 16.0-23.255 |\n| --- | --- | --- |\n| PoolingLayer | 24.0/5 | 24.0-31.255 |\n| DisabledLayer | 32.0/5 | 32.0-39.255 |",1]
["| Layertype | Subnet(CIDR) | IPRange |\n| --- | --- | --- |\n| ConvolutionalLayer | 0.0/4 | 0.0-15.255 |","| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Layertype | Subnet(CIDR) | IPRange |\n| --- | --- | --- |\n| ConvolutionalLayer | 0.0/4 | 0.0-15.255 |\n| Fully-ConnectedLayer | 16.0/5 | 16.0-23.255 |","| PoolingLayer | 24.0/5 | 24.0-31.255 |\n| --- | --- | --- |\n| DisabledLayer | 32.0/5 | 32.0-39.255 |",1]
["| Layertype | Subnet(CIDR) | IPRange |\n| --- | --- | --- |\n| ConvolutionalLayer | 0.0/4 | 0.0-15.255 |\n| Fully-ConnectedLayer | 16.0/5 | 16.0-23.255 |","| MaxPool | 2×2/2 | 256 | – |\n| --- | --- | --- | --- |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| SNo | AnatomyLabel | #ofslices | Percentage |\n| --- | --- | --- | --- |\n| 1 | alongfalx/tentorium | 1025 | 6.65 |\n| 2 | basalcisterns | 504 | 3.27 |\n| 3 | brainstem | 95 | 0.62 |\n| 4 | cerebellum | 236 | 1.53 |\n| 5 | ethmoidal | 113 | 0.74 |\n| 6 | frontalregion | 4263 | 27.64 |\n| 7 | gangliocapsularregion | 146 | 0.95 |\n| 8 | maxillary | 622 | 4.04 |\n| 9 | occipitalregion | 760 | 4.93 |","| 10 | parietalregion | 2341 | 15.18 |\n| --- | --- | --- | --- |\n| 11 | sphenoid | 254 | 1.65 |\n| 12 | sulcalspaces | 1026 | 6.66 |\n| 13 | temporalregion | 2520 | 16.34 |\n| 14 | thalamus | 51 | 0.34 |\n| 15 | ventricularsystem | 1469 | 9.53 |\n|  | TotalSlices | 15425 |  |",1]
["| SNo | AnatomyLabel | #ofslices | Percentage |\n| --- | --- | --- | --- |\n| 1 | alongfalx/tentorium | 1025 | 6.65 |\n| 2 | basalcisterns | 504 | 3.27 |\n| 3 | brainstem | 95 | 0.62 |\n| 4 | cerebellum | 236 | 1.53 |\n| 5 | ethmoidal | 113 | 0.74 |\n| 6 | frontalregion | 4263 | 27.64 |\n| 7 | gangliocapsularregion | 146 | 0.95 |\n| 8 | maxillary | 622 | 4.04 |\n| 9 | occipitalregion | 760 | 4.93 |","| Segmenttype | H | L | S | HL | LH |\n| --- | --- | --- | --- | --- | --- |\n| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |\n| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |\n| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |\n| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |\n| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |\n| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |\n| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |\n| Aﬀricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |\n| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |\n| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |\n| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 |",0]
["| SNo | AnatomyLabel | #ofslices | Percentage |\n| --- | --- | --- | --- |\n| 1 | alongfalx/tentorium | 1025 | 6.65 |\n| 2 | basalcisterns | 504 | 3.27 |","| 3 | brainstem | 95 | 0.62 |\n| --- | --- | --- | --- |\n| 4 | cerebellum | 236 | 1.53 |\n| 5 | ethmoidal | 113 | 0.74 |\n| 6 | frontalregion | 4263 | 27.64 |\n| 7 | gangliocapsularregion | 146 | 0.95 |\n| 8 | maxillary | 622 | 4.04 |\n| 9 | occipitalregion | 760 | 4.93 |\n| 10 | parietalregion | 2341 | 15.18 |\n| 11 | sphenoid | 254 | 1.65 |\n| 12 | sulcalspaces | 1026 | 6.66 |\n| 13 | temporalregion | 2520 | 16.34 |\n| 14 | thalamus | 51 | 0.34 |\n| 15 | ventricularsystem | 1469 | 9.53 |\n|  | TotalSlices | 15425 |  |",1]
["| SNo | AnatomyLabel | #ofslices | Percentage |\n| --- | --- | --- | --- |\n| 1 | alongfalx/tentorium | 1025 | 6.65 |\n| 2 | basalcisterns | 504 | 3.27 |","| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |\n| --- | --- | --- | --- | --- | --- |\n| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |\n| Aﬀricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |\n| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |\n| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |\n| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 |",0]
["| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |","| 349 | 1 |\n| --- | --- |\n| 446 | 2 |\n| 307 | 1 |\n| 1472 | 142 |\n| 332 | 1 |\n| 941 | 81 |\n| 646 | 39 |\n| 1922 | 201 |\n| 623 | 38 |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",1]
["| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |","| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |\n| 615 | 245 |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |\n| 285 | 155 |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |\n| 349 | 1 |\n| 446 | 2 |\n| 307 | 1 |\n| 1472 | 142 |\n| 332 | 1 |\n| 941 | 81 |","| 646 | 39 |\n| --- | --- |\n| 1922 | 201 |\n| 623 | 38 |\n| 405 | 12 |\n| 527 | 22 |\n| 491 | 24 |\n| 531 | 23 |\n| 474 | 27 |\n| 515 | 22 |\n| 856 | 104 |\n| 424 | 17 |\n| 515 | 37 |\n| 403 | 17 |\n| 1615 | 186 |",1]
["| 761 | 12 |\n| --- | --- |\n| 899 | 35 |\n| 442 | 4 |\n| 2256 | 173 |\n| 349 | 1 |\n| 446 | 2 |\n| 307 | 1 |\n| 1472 | 142 |\n| 332 | 1 |\n| 941 | 81 |","| 585 | 233 |\n| --- | --- |\n| 217 | 99 |\n| 236 | 110 |\n| 285 | 155 |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| Methods | Depth |\n| --- | --- |\n| DynamicTemporalWarping | 54.0 |","| ActionletEnsemble | 85.8 |\n| --- | --- |\n| HON4D | 85 |\n| 3DTrajectories | 72 |\n| Ourmethod(Unsupervisedtraining) | 86.9 |",1]
["| Methods | Depth |\n| --- | --- |\n| DynamicTemporalWarping | 54.0 |","| Methods | Depth |\n| --- | --- |\n| HOG | 32.24 |\n| SuperNormalVector | 31.82 |\n| HON4D | 30.56 |\n| LieGroup | 50.08 |\n| SkeletalQuads | 38.62 |\n| FTPDynamicSkeletons | 60.23 |\n| HBRNN-L | 59.07 |\n| 2LayerP-LSTM | 62.93 |\n| ShuﬄeandLearn | 47.5 |\n| Ourmethod(Unsupervisedtraining) | 66.2 |",0]
["| Methods | Depth |\n| --- | --- |\n| DynamicTemporalWarping | 54.0 |\n| ActionletEnsemble | 85.8 |\n| HON4D | 85 |","| 3DTrajectories | 72 |\n| --- | --- |\n| Ourmethod(Unsupervisedtraining) | 86.9 |",1]
["| Methods | Depth |\n| --- | --- |\n| DynamicTemporalWarping | 54.0 |\n| ActionletEnsemble | 85.8 |\n| HON4D | 85 |","| ShuﬄeandLearn | 47.5 |\n| --- | --- |\n| Ourmethod(Unsupervisedtraining) | 66.2 |",0]
["|  | MSE(10) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Curvelet | PCA | FBsPCA | FFBsPCA |\n| Image1 | 1.38 | 1.10 | 0.77 | 0.77 |","| Image2 | 1.63 | 1.29 | 0.95 | 0.96 |\n| --- | --- | --- | --- | --- |\n| Image3 | 1.58 | 1.17 | 0.85 | 0.85 |",1]
["|  | MSE(10) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Curvelet | PCA | FBsPCA | FFBsPCA |\n| Image1 | 1.38 | 1.10 | 0.77 | 0.77 |","|  | noFBsPCAdenoising | FBsPCAdenoising |\n| --- | --- | --- |\n| RFA/K-means | 0.09 | 0.48 |\n| MSA/MRA | 0.87 | 0.95 |\n| EMAN2 | 0.45 | 0.76 |\n| Xmipp | 0.68 | 0.96 |",0]
["|  | MSE(10) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Curvelet | PCA | FBsPCA | FFBsPCA |\n| Image1 | 1.38 | 1.10 | 0.77 | 0.77 |","| Image2 | 1.63 | 1.29 | 0.95 | 0.96 |\n| --- | --- | --- | --- | --- |\n| Image3 | 1.58 | 1.17 | 0.85 | 0.85 |",1]
["|  | MSE(10) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Curvelet | PCA | FBsPCA | FFBsPCA |\n| Image1 | 1.38 | 1.10 | 0.77 | 0.77 |","| MSA/MRA | 0.87 | 0.95 |\n| --- | --- | --- |\n| EMAN2 | 0.45 | 0.76 |\n| Xmipp | 0.68 | 0.96 |",0]
["| Teamname | meanAP |\n| --- | --- |\n| CUVideo(Ours) | 67.82 |\n| ITLabVID-Inha | 51.50 |","| UIUC-IFP | 48.72 |\n| --- | --- |\n| Trimps-Soushen | 46.12 |\n| 1-HKUST | 42.11 |\n| HiVision | 37.52 |\n| RUCBDAI | 35.97 |",1]
["| Teamname | meanAP |\n| --- | --- |\n| CUVideo(Ours) | 67.82 |\n| ITLabVID-Inha | 51.50 |","| Team | CPM | AUC |\n| --- | --- | --- |\n| DRSCREEN | 0.434 | 0.551 |\n| Niemeijeretal. | 0.395 | 0.469 |\n| LaTIM | 0.381 | 0.489 |\n| ISMV | 0.375 | 0.435 |\n| OKmedicalII | 0.369 | 0.465 |\n| OKmedical | 0.357 | 0.430 |\n| Lazaretal. | 0.355 | 0.449 |\n| GIB | 0.322 | 0.399 |\n| Fujita | 0.310 | 0.378 |\n| IRIA | 0.264 | 0.368 |\n| Waikato | 0.206 | 0.273 |",0]
["| Teamname | meanAP |\n| --- | --- |\n| CUVideo(Ours) | 67.82 |","| ITLabVID-Inha | 51.50 |\n| --- | --- |\n| UIUC-IFP | 48.72 |\n| Trimps-Soushen | 46.12 |\n| 1-HKUST | 42.11 |\n| HiVision | 37.52 |\n| RUCBDAI | 35.97 |",1]
["| Teamname | meanAP |\n| --- | --- |\n| CUVideo(Ours) | 67.82 |","| OKmedical | 0.357 | 0.430 |\n| --- | --- | --- |\n| Lazaretal. | 0.355 | 0.449 |\n| GIB | 0.322 | 0.399 |\n| Fujita | 0.310 | 0.378 |\n| IRIA | 0.264 | 0.368 |\n| Waikato | 0.206 | 0.273 |",0]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |\n| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |","| HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 |\n| LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 |\n| RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 |\n| RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 |\n| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 |\n| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |\n| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |",1]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |\n| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |","| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 |\n| SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 |\n| HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |\n| BSCA | 0.1754 | 0.5925 | 0.7616 | 0.1291 | 1 | 0.0525 |\n| LPS | 0.1252 | 0.5890 | 0.6831 | 0.1291 | 1 | 0.0166 |\n| RGBD1 | 0.3207 | 0.4843 | 0.7771 | 0.1291 | 1 | 0.2228 |\n| RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 |\n| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |\n| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |\n| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |",0]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |\n| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |\n| HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |\n| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 |","| LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 |\n| RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 |\n| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 |\n| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |\n| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |",1]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |\n| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |\n| HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |\n| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 |","| RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |\n| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |\n| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |",0]
["| CDRError |\n| --- |\n| 0.0774 |\n| 0.0740 |\n| 0.0710 |\n| 0.0696 |","| 0.0660 |\n| --- |\n| 0.0616 |\n| 0.0669 |\n| 0.0613 |\n| 0.0599 |",1]
["| CDRError |\n| --- |\n| 0.0774 |\n| 0.0740 |\n| 0.0710 |\n| 0.0696 |","| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| CDRError |\n| --- |\n| 0.0774 |\n| 0.0740 |\n| 0.0710 |\n| 0.0696 |","| 0.0660 |\n| --- |\n| 0.0616 |\n| 0.0669 |\n| 0.0613 |\n| 0.0599 |",1]
["| CDRError |\n| --- |\n| 0.0774 |\n| 0.0740 |\n| 0.0710 |\n| 0.0696 |","| 0.555 | 0.448 | 0.626 |\n| --- | --- | --- |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["|  | Detection | Overlap | FW | Ham. |\n| --- | --- | --- | --- | --- |\n| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |\n| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 |\n| Case3 | 0.1 | 2.23 | 4.3e-03 | 1.0e-01 |","| Case4 | 3.0 | 0.0223 | 9.3e-06 | 8.9e-03 |\n| --- | --- | --- | --- | --- |\n| Case5 | 0.074 | 0.0223 | 3.1e-02 | 1.0e-01 |\n| Case6 | -1.0 | 0.0223 | 1.0e-01 | 1.3e-01 |",1]
["|  | Detection | Overlap | FW | Ham. |\n| --- | --- | --- | --- | --- |\n| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |\n| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 |\n| Case3 | 0.1 | 2.23 | 4.3e-03 | 1.0e-01 |","| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |\n| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |\n| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |\n| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |\n| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |\n| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |\n| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |\n| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |\n| 9 | 8.90 | 11.78 | 10.92 | 10.25 | 12.28 |\n| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |\n| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",0]
["|  | Detection | Overlap | FW | Ham. |\n| --- | --- | --- | --- | --- |\n| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |\n| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 |","| Case3 | 0.1 | 2.23 | 4.3e-03 | 1.0e-01 |\n| --- | --- | --- | --- | --- |\n| Case4 | 3.0 | 0.0223 | 9.3e-06 | 8.9e-03 |\n| Case5 | 0.074 | 0.0223 | 3.1e-02 | 1.0e-01 |\n| Case6 | -1.0 | 0.0223 | 1.0e-01 | 1.3e-01 |",1]
["|  | Detection | Overlap | FW | Ham. |\n| --- | --- | --- | --- | --- |\n| Case1 | 0.1 | 0.0223 | 4.7e-03 | 1.4e-02 |\n| Case2 | 0.1 | 0.0007 | 8.7e-06 | 9.3e-03 |","| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| --- | --- | --- | --- | --- | --- |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",0]
["|  | avg.precision | ratiotoJ-J |\n| --- | --- | --- |\n| J-J | 0.204 | — |\n| CWT | 0.193 | 0.946 |","| translit | 0.193 | 0.946 |\n| --- | --- | --- |\n| control | 0.115 | 0.564 |",1]
["|  | avg.precision | ratiotoJ-J |\n| --- | --- | --- |\n| J-J | 0.204 | — |\n| CWT | 0.193 | 0.946 |","| #ofRules | Accuracy | Avg.#oftagsperword |\n| --- | --- | --- |\n| 0 | 96.5 | 1.00 |\n| 50 | 96.9 | 1.02 |\n| 100 | 97.4 | 1.04 |\n| 150 | 97.9 | 1.10 |\n| 200 | 98.4 | 1.19 |\n| 250 | 99.1 | 1.50 |",0]
["|  | avg.precision | ratiotoJ-J |\n| --- | --- | --- |\n| J-J | 0.204 | — |\n| CWT | 0.193 | 0.946 |","| translit | 0.193 | 0.946 |\n| --- | --- | --- |\n| control | 0.115 | 0.564 |",1]
["|  | avg.precision | ratiotoJ-J |\n| --- | --- | --- |\n| J-J | 0.204 | — |\n| CWT | 0.193 | 0.946 |","| 200 | 98.4 | 1.19 |\n| --- | --- | --- |\n| 250 | 99.1 | 1.50 |",0]
["| Method | Dice | Sensitivity | Speciﬁcity |\n| --- | --- | --- | --- |\n| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |\n| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |","| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |\n| --- | --- | --- | --- |\n| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |\n| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |\n| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) |",1]
["| Method | Dice | Sensitivity | Speciﬁcity |\n| --- | --- | --- | --- |\n| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |\n| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |","|  | LPBA40 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | Dice | Sensitivity | Speciﬁcity | Dice | Sensitivity |\n| Auto-U-net | 97.73(±0.003) | 98.31(±0.006) | 99.48(±0.001) | 97.62(±0.01) | 98.66(±0.01) |\n| U-net | 96.79(±0.004) | 97.22(±0.01) | 99.34(±0.002) | 96.22(±0.006) | 97.29(±0.01) |\n| Auto-2.5D-CNN | 97.66(±0.01) | 98.25(±0.01) | 99.47(±0.002) | 96.06(±0.007) | 96.21(±0.01) |\n| 2.5D-CNN | 97.17(±0.005) | 98.52(±0.01) | 99.24(±0.002) | 95.61(±0.007) | 96.3(±0.01) |\n| PCNN | 96.96(±0.01) | 97.46(±0.01) | 99.41(±0.003) | 95.02(±0.01) | 92.40(±0.03) |\n| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |\n| Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |\n| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |\n| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) |",0]
["| Method | Dice | Sensitivity | Speciﬁcity |\n| --- | --- | --- | --- |\n| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |","| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |\n| --- | --- | --- | --- |\n| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |\n| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |\n| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |\n| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) |",1]
["| Method | Dice | Sensitivity | Speciﬁcity |\n| --- | --- | --- | --- |\n| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |","| BET | 94.57(±0.02) | 98.52(±0.005) | 98.22(±0.01) | 93.44(±0.03) | 93.41(±0.04) |\n| --- | --- | --- | --- | --- | --- |\n| Robex | 95.40(±0.04) | 94.25(±0.05) | 99.43(±0.004) | 95.33(±0.01) | 92.97(±0.02) |\n| 3dSkullStrip | 92.99(±0.03) | 96.95(±0.01) | 97.87(±0.01) | 92.77(±0.01) | 94.44(±0.04) |\n| HWA | 92.41(±0.007) | 99.99(±0.0001) | 97.07(±0.004) | 94.06(±0.01) | 98.06(±0.01) |",0]
["| Cluster |\n| --- |\n| Location |\n| Composition |","| Catholicism |\n| --- |\n| Others |\n| Abstract |\n| Speciﬁc |\n| Scientist |\n| Businessman |\n| Writer |",1]
["| Cluster |\n| --- |\n| Location |\n| Composition |","| primari | ssu | thebes |\n| --- | --- | --- |\n| confucius | morality | romana |\n| goodness | timpul | tarii |\n| cynical | tub | crates |\n| phila | transaction | corporeal |",0]
["| Cluster |\n| --- |\n| Location |\n| Composition |\n| Catholicism |\n| Others |\n| Abstract |\n| Speciﬁc |\n| Scientist |","| Businessman |\n| --- |\n| Writer |",1]
["| Cluster |\n| --- |\n| Location |\n| Composition |\n| Catholicism |\n| Others |\n| Abstract |\n| Speciﬁc |\n| Scientist |","| goodness | timpul | tarii |\n| --- | --- | --- |\n| cynical | tub | crates |\n| phila | transaction | corporeal |",0]
["| shape | noise=0 | noise=1 | noise=2 | noise=3 |\n| --- | --- | --- | --- | --- |\n| anchor | coﬀeepot<br>0.725 | coﬀeepot<br>0.562 | coﬀeepot<br>0.512 | tophat<br>0.542 |\n| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |\n| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |\n| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |\n| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |\n| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |\n| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |\n| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |\n| ﬁsh | ﬁsh<br>0.830 | ﬁsh<br>0.815 | ﬁsh<br>0.782 | turtleb<br>0.453 |\n| horse | toad<br>0.692 | dogb<br>0.608 | car<br>0.598 | mission<br>0.555 |\n| kangaroo | kangaroo<br>0.832 | kangaroo<br>0.784 | kangaroo<br>0.737 | baseballcatcher<br>0.408 |\n| palmtree | palmtree<br>0.574 | car<br>0.589 | car<br>0.553 | balloon<br>0.596 |\n| pistol | pistol<br>0.752 | pistol<br>0.694 | pistol<br>0.685 | pistol<br>0.429 |\n| plane | hockeyplayer<br>0.446 | car<br>0.659 | car<br>0.596 | tophat<br>0.690 |","| shoe | shoe<br>0.850 | shoe<br>0.843 | shoe<br>0.707 | shoe<br>0.609 |\n| --- | --- | --- | --- | --- |\n| squirrel | squirrel<br>0.913 | squirrel<br>0.892 | squirrel<br>0.724 | mission<br>0.588 |\n| star | star<br>0.633 | bear<br>0.611 | star<br>0.663 | car<br>0.619 |\n| telephone | telephone<br>0.982 | telephone<br>0.943 | telephone<br>0.938 | libertybell<br>0.442 |\n| umbrella | umbrella<br>0.558 | balloon<br>0.698 | umbrella<br>0.625 | car<br>0.525 |\n| violin | violin<br>0.880 | violin<br>0.850 | violin<br>0.823 | mission<br>0.492 |\n| rate<br>average | 0.850<br>0.790 | 0.650<br>0.772 | 0.800<br>0.735 | 0.350<br>0.578 |",1]
["| shape | noise=0 | noise=1 | noise=2 | noise=3 |\n| --- | --- | --- | --- | --- |\n| anchor | coﬀeepot<br>0.725 | coﬀeepot<br>0.562 | coﬀeepot<br>0.512 | tophat<br>0.542 |\n| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |\n| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |\n| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |\n| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |\n| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |\n| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |\n| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |\n| ﬁsh | ﬁsh<br>0.830 | ﬁsh<br>0.815 | ﬁsh<br>0.782 | turtleb<br>0.453 |\n| horse | toad<br>0.692 | dogb<br>0.608 | car<br>0.598 | mission<br>0.555 |\n| kangaroo | kangaroo<br>0.832 | kangaroo<br>0.784 | kangaroo<br>0.737 | baseballcatcher<br>0.408 |\n| palmtree | palmtree<br>0.574 | car<br>0.589 | car<br>0.553 | balloon<br>0.596 |\n| pistol | pistol<br>0.752 | pistol<br>0.694 | pistol<br>0.685 | pistol<br>0.429 |\n| plane | hockeyplayer<br>0.446 | car<br>0.659 | car<br>0.596 | tophat<br>0.690 |","| Model | Beam | bottle | bus | couch | microwave | pizza | racket | suitcase |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DCC<br>KGA-CGM | 1<br>1 | 4.6<br>26.4<br>17.7<br>16.3<br>29.6<br>22.2 | 29.8<br>54.2<br>68.7<br>67.8<br>74.4<br>42.5 | 45.9<br>42.1<br>25.5<br>48.2<br>38.7<br>34.4 | 28.1<br>50.9<br>24.7<br>29.7<br>27.8<br>48.1 | 64.6<br>70.8<br>69.3<br>77.2<br>68.1<br>69.6 | 52.2<br>75.3<br>55.3<br>57.1<br>70.2<br>63.1 | 13.2<br>25.6<br>39.8<br>49.9<br>44.7<br>22.6 |\n| NOC<br>CBS(T4)<br>LSTM-C<br>KGA-CGM | >1<br>>1<br>>1<br>>1 |  |  |  |  |  |  |  |\n| DCC<br>KGA-CGM | 1<br>1 | 18.1<br>21.5<br>21.2<br>21.3 | 21.6<br>20.3<br>20.4<br>19.2 | 23.1<br>23.0<br>21.4<br>23.5 | 22.1<br>22.6<br>21.5<br>23.2 | 22.2<br>21.4<br>21.8<br>21.7 | 20.3<br>27.0<br>24.6<br>22.5 | 18.3<br>18.7<br>18.0<br>18.0 |\n| NOC<br>KGA-CGM | >1<br>>1 |  |  |  |  |  |  |  |\n| KGA-CGM<br>KGA-CGM | 1<br>>1 | 13.1<br>12.6 | 12.6<br>11.6 | 14.9<br>14.6 | 13.3<br>13.6 | 13.2<br>13.1 | 19.8<br>16.7 | 10.6<br>10.3 |",0]
["| shape | noise=0 | noise=1 | noise=2 | noise=3 |\n| --- | --- | --- | --- | --- |\n| anchor | coﬀeepot<br>0.725 | coﬀeepot<br>0.562 | coﬀeepot<br>0.512 | tophat<br>0.542 |\n| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |\n| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |\n| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |\n| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |\n| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |\n| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |\n| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |\n| ﬁsh | ﬁsh<br>0.830 | ﬁsh<br>0.815 | ﬁsh<br>0.782 | turtleb<br>0.453 |","| horse | toad<br>0.692 | dogb<br>0.608 | car<br>0.598 | mission<br>0.555 |\n| --- | --- | --- | --- | --- |\n| kangaroo | kangaroo<br>0.832 | kangaroo<br>0.784 | kangaroo<br>0.737 | baseballcatcher<br>0.408 |\n| palmtree | palmtree<br>0.574 | car<br>0.589 | car<br>0.553 | balloon<br>0.596 |\n| pistol | pistol<br>0.752 | pistol<br>0.694 | pistol<br>0.685 | pistol<br>0.429 |\n| plane | hockeyplayer<br>0.446 | car<br>0.659 | car<br>0.596 | tophat<br>0.690 |\n| shoe | shoe<br>0.850 | shoe<br>0.843 | shoe<br>0.707 | shoe<br>0.609 |\n| squirrel | squirrel<br>0.913 | squirrel<br>0.892 | squirrel<br>0.724 | mission<br>0.588 |\n| star | star<br>0.633 | bear<br>0.611 | star<br>0.663 | car<br>0.619 |\n| telephone | telephone<br>0.982 | telephone<br>0.943 | telephone<br>0.938 | libertybell<br>0.442 |\n| umbrella | umbrella<br>0.558 | balloon<br>0.698 | umbrella<br>0.625 | car<br>0.525 |\n| violin | violin<br>0.880 | violin<br>0.850 | violin<br>0.823 | mission<br>0.492 |\n| rate<br>average | 0.850<br>0.790 | 0.650<br>0.772 | 0.800<br>0.735 | 0.350<br>0.578 |",1]
["| shape | noise=0 | noise=1 | noise=2 | noise=3 |\n| --- | --- | --- | --- | --- |\n| anchor | coﬀeepot<br>0.725 | coﬀeepot<br>0.562 | coﬀeepot<br>0.512 | tophat<br>0.542 |\n| arrow | arrow<br>0.982 | arrow<br>0.884 | arrow<br>0.905 | arrow<br>0.666 |\n| balloon | balloon<br>0.961 | balloon<br>0.945 | balloon<br>0.911 | balloon<br>0.664 |\n| camel | camel<br>0.731 | balloon<br>0.687 | camel<br>0.739 | car<br>0.594 |\n| car | car<br>0.936 | car<br>0.944 | car<br>0.924 | car<br>0.729 |\n| cherries | cherries<br>0.750 | cherries<br>0.726 | cherries<br>0.708 | toad<br>0.535 |\n| dolphin | dolphin<br>0.868 | dolphin<br>0.901 | dolphin<br>0.843 | dolphin<br>0.758 |\n| duck | duck<br>0.901 | duck<br>0.795 | duck<br>0.732 | duck<br>0.663 |\n| ﬁsh | ﬁsh<br>0.830 | ﬁsh<br>0.815 | ﬁsh<br>0.782 | turtleb<br>0.453 |","| DCC<br>KGA-CGM | 1<br>1 | 18.1<br>21.5<br>21.2<br>21.3 | 21.6<br>20.3<br>20.4<br>19.2 | 23.1<br>23.0<br>21.4<br>23.5 | 22.1<br>22.6<br>21.5<br>23.2 | 22.2<br>21.4<br>21.8<br>21.7 | 20.3<br>27.0<br>24.6<br>22.5 | 18.3<br>18.7<br>18.0<br>18.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NOC<br>KGA-CGM | >1<br>>1 |  |  |  |  |  |  |  |\n| KGA-CGM<br>KGA-CGM | 1<br>>1 | 13.1<br>12.6 | 12.6<br>11.6 | 14.9<br>14.6 | 13.3<br>13.6 | 13.2<br>13.1 | 19.8<br>16.7 | 10.6<br>10.3 |",0]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | \\|V\\|0 | tiles | states | trans. | Time |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |","| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ValmemLatch | 7 | [2,5] | 8 | 4 | 73062 | 5 | 21 | 20 | 96.3 |\n| CSMA/CD | 3 | [3,8] | 3 | 3 | 2000 | 140 | 349 | 545 | 269 |\n| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |\n| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 |",1]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | \\|V\\|0 | tiles | states | trans. | Time |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |","| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | iter. | \\|K\\|0 | states | trans. | Time1 | Time2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 |\n| And–Or | 3 | [4,8] | 4 | 12 | 14 | 4 | 13 | 13 | 1.81 | 0.15 |\n| ValmemLatch | 7 | [2,5] | 8 | 13 | 12 | 6 | 18 | 17 | 14.4 | 0.345 |\n| CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 342 | 41 | 1.01 |\n| RCP | 5 | [6,11] | 6 | 5 | 20 | 2 | 327 | 518 | 64 | 2.3 |\n| SPSMALL1 | 10 | [3,8] | 10 | 26 | 32 | 23 | 31 | 30 | 4680 | 2.6 |\n| BRP | 6 | [2,6] | 7 | 6 | 30 | 7 | 429 | 474 | 901 | 34 |\n| SPSMALL2 | 28 | [2,11] | 28 | 5 | 92 | 8 | 472 | 548 | - | 1755 |",0]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | \\|V\\|0 | tiles | states | trans. | Time |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |\n| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 |","| ValmemLatch | 7 | [2,5] | 8 | 4 | 73062 | 5 | 21 | 20 | 96.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CSMA/CD | 3 | [3,8] | 3 | 3 | 2000 | 140 | 349 | 545 | 269 |\n| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |\n| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 |",1]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | \\|V\\|0 | tiles | states | trans. | Time |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |\n| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 |","| CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 342 | 41 | 1.01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RCP | 5 | [6,11] | 6 | 5 | 20 | 2 | 327 | 518 | 64 | 2.3 |\n| SPSMALL1 | 10 | [3,8] | 10 | 26 | 32 | 23 | 31 | 30 | 4680 | 2.6 |\n| BRP | 6 | [2,6] | 7 | 6 | 30 | 7 | 429 | 474 | 901 | 34 |\n| SPSMALL2 | 28 | [2,11] | 28 | 5 | 92 | 8 | 472 | 548 | - | 1755 |",0]
["| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |\n| --- | --- | --- |\n| 2008 | 2008,year | 2008 |\n| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati |","| bama | bomb | explosives,bomb,device |\n| --- | --- | --- |\n| visphoTa | explosion | explosion,blast,accident |\n| xati | loss | degradation,damage,distortion |",1]
["| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |\n| --- | --- | --- |\n| 2008 | 2008,year | 2008 |\n| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati |","| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |\n| --- | --- | --- | --- | --- | --- |\n| March | qaiserthethia<br>alirazatweets<br>xaifoooﬃcial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |\n| April | ptioﬃcial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 |\n| May | khaleejmag<br>diyarahman99<br>maryamnsharif | 347<br>176<br>59 | 1<br>1<br>0 | 1313558.254<br>608312.772<br>551766.163 | 1<br>3<br>4 |\n| June | dunyanews<br>imrankhanpti<br>ptioﬃcial | 290<br>105<br>80 | 17<br>0<br>1 | 836335.327<br>288851.658<br>213124.288 | 2<br>4<br>6 |\n| July | imrankhanpti<br>dunyanews<br>defencepk | 181<br>122<br>111 | 0<br>15<br>1 | 800178.225<br>705731.185<br>601869.039 | 2<br>4<br>5 |\n| August | shehzadind<br>yadavtejashwi | 721<br>622 | 2<br>0 | 328635.667<br>194985.667 | 1<br>2 |",0]
["| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |\n| --- | --- | --- |\n| 2008 | 2008,year | 2008 |\n| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati |","| bama | bomb | explosives,bomb,device |\n| --- | --- | --- |\n| visphoTa | explosion | explosion,blast,accident |\n| xati | loss | degradation,damage,distortion |",1]
["| QueryTerminHindi | MeaninginEnglish | TranslationsusingEmbeddings |\n| --- | --- | --- |\n| 2008 | 2008,year | 2008 |\n| guvaahaaTii | Guwahati,aplaceinIndia | Guwahati |","| June | dunyanews<br>imrankhanpti<br>ptioﬃcial | 290<br>105<br>80 | 17<br>0<br>1 | 836335.327<br>288851.658<br>213124.288 | 2<br>4<br>6 |\n| --- | --- | --- | --- | --- | --- |\n| July | imrankhanpti<br>dunyanews<br>defencepk | 181<br>122<br>111 | 0<br>15<br>1 | 800178.225<br>705731.185<br>601869.039 | 2<br>4<br>5 |\n| August | shehzadind<br>yadavtejashwi | 721<br>622 | 2<br>0 | 328635.667<br>194985.667 | 1<br>2 |",0]
["|  | Spontaneous | Posed |  |  |\n| --- | --- | --- | --- | --- |\n| Relation | Subj.# | Vid.# | Sub.# | Vid.# |\n| S-S | 7 | 22 | 9 | 32 |\n| B-B | 7 | 15 | 6 | 13 |\n| S-B | 12 | 32 | 10 | 34 |\n| M-D | 16 | 57 | 20 | 76 |\n| M-S | 12 | 36 | 14 | 46 |\n| F-D | 9 | 28 | 9 | 30 |","| F-S | 12 | 38 | 19 | 56 |\n| --- | --- | --- | --- | --- |\n| All | 75 | 228 | 87 | 287 |",1]
["|  | Spontaneous | Posed |  |  |\n| --- | --- | --- | --- | --- |\n| Relation | Subj.# | Vid.# | Sub.# | Vid.# |\n| S-S | 7 | 22 | 9 | 32 |\n| B-B | 7 | 15 | 6 | 13 |\n| S-B | 12 | 32 | 10 | 34 |\n| M-D | 16 | 57 | 20 | 76 |\n| M-S | 12 | 36 | 14 | 46 |\n| F-D | 9 | 28 | 9 | 30 |","| Ground<br>truth | TIFFS |  |  |\n| --- | --- | --- | --- |\n| Extract | Match | Extract |  |\n| 352 | 358 | 181 | 351 |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |\n| 92 | 58 | 42 | 62 |\n| 1565 | 1074 | 681 | 1060 |",0]
["|  | Spontaneous | Posed |  |  |\n| --- | --- | --- | --- | --- |\n| Relation | Subj.# | Vid.# | Sub.# | Vid.# |\n| S-S | 7 | 22 | 9 | 32 |\n| B-B | 7 | 15 | 6 | 13 |","| S-B | 12 | 32 | 10 | 34 |\n| --- | --- | --- | --- | --- |\n| M-D | 16 | 57 | 20 | 76 |\n| M-S | 12 | 36 | 14 | 46 |\n| F-D | 9 | 28 | 9 | 30 |\n| F-S | 12 | 38 | 19 | 56 |\n| All | 75 | 228 | 87 | 287 |",1]
["|  | Spontaneous | Posed |  |  |\n| --- | --- | --- | --- | --- |\n| Relation | Subj.# | Vid.# | Sub.# | Vid.# |\n| S-S | 7 | 22 | 9 | 32 |\n| B-B | 7 | 15 | 6 | 13 |","| 22 | 15 | 10 | 14 |\n| --- | --- | --- | --- |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |\n| 92 | 58 | 42 | 62 |\n| 1565 | 1074 | 681 | 1060 |",0]
["| MovieName | NumberofRatings |\n| --- | --- |\n| StarWars | 583 |","| TommorrowNeverDies | 180 |\n| --- | --- |\n| RobinHood:MeninTights | 56 |\n| ScreamofStone | 1 |",1]
["| MovieName | NumberofRatings |\n| --- | --- |\n| StarWars | 583 |","| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |\n| TheBlindSide | 2009-11-20 |\n| TheBookofEli | 2010-01-15 |\n| Daybreakers | 2010-01-08 |\n| DearJohn | 2010-02-05 |\n| DidYouHearAboutTheMorgans | 2009-12-18 |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |\n| Legion | 2010-01-22 |\n| Twilight:NewMoon | 2009-11-20 |\n| PirateRadio | 2009-11-13 |\n| PrincessAndTheFrog | 2009-12-11 |\n| SherlockHolmes | 2009-12-25 |\n| SpyNextDoor | 2010-01-15 |\n| TheCrazies | 2010-02-26 |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| MovieName | NumberofRatings |\n| --- | --- |\n| StarWars | 583 |","| TommorrowNeverDies | 180 |\n| --- | --- |\n| RobinHood:MeninTights | 56 |\n| ScreamofStone | 1 |",1]
["| MovieName | NumberofRatings |\n| --- | --- |\n| StarWars | 583 |","| Transylmania | 2009-12-04 |\n| --- | --- |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |\n| --- |\n| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 |\n| -classe1830(attendus=169,ramenes=547.00,corrects=52.00)<br>rappel=0.308precision=0.095f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=89.00,corrects=8.00)<br>rappel=0.047precision=0.090f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=124.00,corrects=9.00)<br>rappel=0.053precision=0.073f-mesure=0.061 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=115.00,corrects=8.00)<br>rappel=0.041precision=0.070f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |","| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| --- |\n| -classe1920(attendus=200,ramenes=139.00,corrects=12.00)<br>rappel=0.060precision=0.086f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=110.00,corrects=8.00)<br>rappel=0.040precision=0.073f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=530.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.206 |\n| -surl’ensembledes15classes<br>macrorappel=0.101macroprecision=0.092macroF-mesure=0.096 |",1]
["| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |\n| --- |\n| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 |\n| -classe1830(attendus=169,ramenes=547.00,corrects=52.00)<br>rappel=0.308precision=0.095f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=89.00,corrects=8.00)<br>rappel=0.047precision=0.090f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=124.00,corrects=9.00)<br>rappel=0.053precision=0.073f-mesure=0.061 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=115.00,corrects=8.00)<br>rappel=0.041precision=0.070f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |","| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |\n| --- |\n| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 |","| -classe1830(attendus=169,ramenes=547.00,corrects=52.00)<br>rappel=0.308precision=0.095f-mesure=0.145 |\n| --- |\n| -classe1840(attendus=169,ramenes=89.00,corrects=8.00)<br>rappel=0.047precision=0.090f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=124.00,corrects=9.00)<br>rappel=0.053precision=0.073f-mesure=0.061 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=115.00,corrects=8.00)<br>rappel=0.041precision=0.070f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=139.00,corrects=12.00)<br>rappel=0.060precision=0.086f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=110.00,corrects=8.00)<br>rappel=0.040precision=0.073f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=530.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.206 |\n| -surl’ensembledes15classes<br>macrorappel=0.101macroprecision=0.092macroF-mesure=0.096 |",1]
["| -classe1800(attendus=169,ramenes=77.00,corrects=5.00)<br>rappel=0.030precision=0.065f-mesure=0.041 |\n| --- |\n| -classe1810(attendus=169,ramenes=84.00,corrects=17.00)<br>rappel=0.101precision=0.202f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=30.00)<br>rappel=0.178precision=0.144f-mesure=0.159 |","| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| --- |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| Model | VerbSim | SimLexverbs |\n| --- | --- | --- |\n| Bag-of-Words-10K | 0.385 | 0.085 |\n| Single-10k | 0.561 | 0.090 |\n| Joint-10k | 0.568 | 0.105 |\n| Bag-of-Words-50K | 0.478 | 0.095 |\n| Single-50k | 0.592 | 0.115 |\n| Joint-50k | 0.592 | 0.105 |\n| Bag-of-Words-100K | 0.488 | 0.114 |","| Single-100k | 0.587 | 0.132 |\n| --- | --- | --- |\n| Joint-100k | 0.607 | 0.114 |",1]
["| Model | VerbSim | SimLexverbs |\n| --- | --- | --- |\n| Bag-of-Words-10K | 0.385 | 0.085 |\n| Single-10k | 0.561 | 0.090 |\n| Joint-10k | 0.568 | 0.105 |\n| Bag-of-Words-50K | 0.478 | 0.095 |\n| Single-50k | 0.592 | 0.115 |\n| Joint-50k | 0.592 | 0.105 |\n| Bag-of-Words-100K | 0.488 | 0.114 |","| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |\n| Single-10k | 0.168 | 0.172 | 0.165 |\n| Joint-10k | 0.190 | 0.177 | 0.181 |\n| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |\n| Single-50k | 0.218 | 0.228 | 0.222 |\n| Joint-50k | 0.256 | 0.250 | 0.227 |\n| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |\n| Single-100k | 0.225 | 0.218 | 0.199 |\n| Joint-100k | 0.283 | 0.256 | 0.222 |",0]
["| Model | VerbSim | SimLexverbs |\n| --- | --- | --- |\n| Bag-of-Words-10K | 0.385 | 0.085 |\n| Single-10k | 0.561 | 0.090 |\n| Joint-10k | 0.568 | 0.105 |\n| Bag-of-Words-50K | 0.478 | 0.095 |\n| Single-50k | 0.592 | 0.115 |\n| Joint-50k | 0.592 | 0.105 |\n| Bag-of-Words-100K | 0.488 | 0.114 |","| Single-100k | 0.587 | 0.132 |\n| --- | --- | --- |\n| Joint-100k | 0.607 | 0.114 |",1]
["| Model | VerbSim | SimLexverbs |\n| --- | --- | --- |\n| Bag-of-Words-10K | 0.385 | 0.085 |\n| Single-10k | 0.561 | 0.090 |\n| Joint-10k | 0.568 | 0.105 |\n| Bag-of-Words-50K | 0.478 | 0.095 |\n| Single-50k | 0.592 | 0.115 |\n| Joint-50k | 0.592 | 0.105 |\n| Bag-of-Words-100K | 0.488 | 0.114 |","| Joint-10k | 0.190 | 0.177 | 0.181 |\n| --- | --- | --- | --- |\n| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |\n| Single-50k | 0.218 | 0.228 | 0.222 |\n| Joint-50k | 0.256 | 0.250 | 0.227 |\n| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |\n| Single-100k | 0.225 | 0.218 | 0.199 |\n| Joint-100k | 0.283 | 0.256 | 0.222 |",0]
["| TypeofLegoTag | Error |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| H | N | C | P | S | W | Ave | OoV | Sen |","| + | + | + | + | + | − | 11.3 | 11.3 | 84.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| − | − | + | − | − | + | 6.1 | 30.6 | 69.0 |\n| − | − | − | − | − | + | 9.3 | 47.6 | 77.7 |",1]
["| TypeofLegoTag | Error |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| H | N | C | P | S | W | Ave | OoV | Sen |","| SystemName | BlogSum<br>R-2 | MEAD<br>R-2 | TAC-Best<br>R-2 |\n| --- | --- | --- | --- |\n| Baseline | 0.102⇓ | 0.041⇓ | 0.130 |\n| w/oIllustration | 0.107⇓ | 0.022⇓ | 0.112⇓ |\n| w/oContingency | 0.093⇓ | 0.025⇓ | 0.102⇓ |\n| w/oComparison | 0.103⇓ | 0.033⇓ | 0.113⇓ |\n| w/oAttributive | 0.113⇓ | 0.050 | 0.124 |\n| w/oTopic-opinion | 0.112⇓ | 0.049 | 0.123 |\n| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| withallRelations | 0.125 | .053 | 0.138 |",0]
["| TypeofLegoTag | Error |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| H | N | C | P | S | W | Ave | OoV | Sen |\n| + | + | + | + | + | − | 11.3 | 11.3 | 84.0 |","| − | − | + | − | − | + | 6.1 | 30.6 | 69.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| − | − | − | − | − | + | 9.3 | 47.6 | 77.7 |",1]
["| TypeofLegoTag | Error |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| H | N | C | P | S | W | Ave | OoV | Sen |\n| + | + | + | + | + | − | 11.3 | 11.3 | 84.0 |","| w/oAttribution | 0.118⇓ | 0.051⇓ | 0.128 |\n| --- | --- | --- | --- |\n| withallRelations | 0.125 | .053 | 0.138 |",0]
["| phase | FILEclass | VotingFarmtclass |\n| --- | --- | --- |\n| declaration | FILE*f; | VotingFarmt*vf; |","| opening | f=fopen(...); | vf=VFopen(...); |\n| --- | --- | --- |\n| control | fwrite(f,...); | VFcontrol(vf,...); |\n| closings | fclose(f); | VFclose(vf); |",1]
["| phase | FILEclass | VotingFarmtclass |\n| --- | --- | --- |\n| declaration | FILE*f; | VotingFarmt*vf; |","| Description | AccessDescriptor |\n| --- | --- |\n| Read-onlyaccess | access.READ |\n| Write-onlyaccess | access.WRITE |\n| Readandwriteaccess | access.RW |\n| Incrementalaccess | access.INC |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",0]
["| phase | FILEclass | VotingFarmtclass |\n| --- | --- | --- |\n| declaration | FILE*f; | VotingFarmt*vf; |","| opening | f=fopen(...); | vf=VFopen(...); |\n| --- | --- | --- |\n| control | fwrite(f,...); | VFcontrol(vf,...); |\n| closings | fclose(f); | VFclose(vf); |",1]
["| phase | FILEclass | VotingFarmtclass |\n| --- | --- | --- |\n| declaration | FILE*f; | VotingFarmt*vf; |","| Write-onlyaccess | access.WRITE |\n| --- | --- |\n| Readandwriteaccess | access.RW |\n| Incrementalaccess | access.INC |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",0]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |","| Maximumnodedegreemaxk | 50 |\n| --- | --- |\n| Averagenodedegreeavgk | 10 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 50,100 |\n| Minimumcommunitysizeminc | 10,20 |\n| Communitysizedistributionτ2 | -1 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",1]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |","| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 233,482,1000,3583,8916 |\n| Maximumnodedegreemaxk | 0.1N |\n| Averagenodedegreeavgk | 20 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 0.1N |\n| Minimumcommunitysizeminc | Default |\n| Communitysizedistributionτ2 | -2.5 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 0 |\n| OverlappingMembershipsOm | 0 |",0]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |\n| Maximumnodedegreemaxk | 50 |\n| Averagenodedegreeavgk | 10 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 50,100 |\n| Minimumcommunitysizeminc | 10,20 |\n| Communitysizedistributionτ2 | -1 |","| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| --- | --- |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",1]
["| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |\n| Maximumnodedegreemaxk | 50 |\n| Averagenodedegreeavgk | 10 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 50,100 |\n| Minimumcommunitysizeminc | 10,20 |\n| Communitysizedistributionτ2 | -1 |","| Maximumcommunitysizemaxc | 0.1N |\n| --- | --- |\n| Minimumcommunitysizeminc | Default |\n| Communitysizedistributionτ2 | -2.5 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 0 |\n| OverlappingMembershipsOm | 0 |",0]
["| DatasetName | TLS<br>Connections | HTTP/1.1<br>TX’s | HTTP/2<br>TX’s |\n| --- | --- | --- | --- |\n| firefoxh | 61,091 | 72,828 | 132,685 |","| chromeh | 379,734 | 515,022 | 561,666 |\n| --- | --- | --- | --- |\n| torh | 6,067 | 50,799 | 0 |\n| malwareh | 86,083 | 182,498 | 14,734 |\n| enterprisem | 171,542 | – | – |\n| malwarem | 73,936 | – | – |\n| toropenw | 5,000 | 54,079 | 0 |\n| torcensorw | 2,500 | 31,707 | 0 |",1]
["| DatasetName | TLS<br>Connections | HTTP/1.1<br>TX’s | HTTP/2<br>TX’s |\n| --- | --- | --- | --- |\n| firefoxh | 61,091 | 72,828 | 132,685 |","| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |\n| Darkness | 1878 | CommercialDDoSbot |\n| Ddoser | 502 | CommercialDDoSbot |\n| jkddos | 333 | ComercialDDoSbot |\n| N0ise | 431 | CommericalDDoSbot |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| DatasetName | TLS<br>Connections | HTTP/1.1<br>TX’s | HTTP/2<br>TX’s |\n| --- | --- | --- | --- |\n| firefoxh | 61,091 | 72,828 | 132,685 |\n| chromeh | 379,734 | 515,022 | 561,666 |\n| torh | 6,067 | 50,799 | 0 |\n| malwareh | 86,083 | 182,498 | 14,734 |\n| enterprisem | 171,542 | – | – |","| malwarem | 73,936 | – | – |\n| --- | --- | --- | --- |\n| toropenw | 5,000 | 54,079 | 0 |\n| torcensorw | 2,500 | 31,707 | 0 |",1]
["| DatasetName | TLS<br>Connections | HTTP/1.1<br>TX’s | HTTP/2<br>TX’s |\n| --- | --- | --- | --- |\n| firefoxh | 61,091 | 72,828 | 132,685 |\n| chromeh | 379,734 | 515,022 | 561,666 |\n| torh | 6,067 | 50,799 | 0 |\n| malwareh | 86,083 | 182,498 | 14,734 |\n| enterprisem | 171,542 | – | – |","| ShadyRAT | 1287 | targetedgovandcorps |\n| --- | --- | --- |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",0]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>0<br>0<br>0 |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |",1]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>0<br>0<br>0 |","| s | si | sj | τ(s\\|s,s)ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 1−a<br>0<br>0<br>a |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>1 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |",0]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>0<br>0<br>0 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |",1]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |",0]
["| Dataset | Numberof<br>categorical<br>features | Numberof<br>numerical<br>features | Number<br>ofclasses | Numberof<br>objectsin<br>trainingset | Numberof<br>objectsin<br>testset |\n| --- | --- | --- | --- | --- | --- |\n| Dexter | 0 | 20000 | 2 | 420 | 180 |\n| GermanCredit | 13 | 7 | 2 | 700 | 300 |\n| Dorothea | 0 | 100000 | 2 | 805 | 345 |\n| Yeast | 0 | 8 | 10 | 1039 | 445 |\n| Secom | 0 | 590 | 2 | 1097 | 470 |\n| Semeion | 0 | 256 | 10 | 1116 | 477 |\n| Car | 6 | 0 | 4 | 1210 | 518 |","| KR-vs-KP | 36 | 0 | 2 | 2238 | 958 |\n| --- | --- | --- | --- | --- | --- |\n| Waveform | 0 | 40 | 3 | 3500 | 1500 |\n| Shuttle | 38 | 192 | 2 | 35000 | 15000 |",1]
["| Dataset | Numberof<br>categorical<br>features | Numberof<br>numerical<br>features | Number<br>ofclasses | Numberof<br>objectsin<br>trainingset | Numberof<br>objectsin<br>testset |\n| --- | --- | --- | --- | --- | --- |\n| Dexter | 0 | 20000 | 2 | 420 | 180 |\n| GermanCredit | 13 | 7 | 2 | 700 | 300 |\n| Dorothea | 0 | 100000 | 2 | 805 | 345 |\n| Yeast | 0 | 8 | 10 | 1039 | 445 |\n| Secom | 0 | 590 | 2 | 1097 | 470 |\n| Semeion | 0 | 256 | 10 | 1116 | 477 |\n| Car | 6 | 0 | 4 | 1210 | 518 |","| Training | Connection | Dataset | Spanish-French | German-French |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| es→en | en→fr | es→fr | de→en | en→fr | de→fr |  |  |  |\n| indep. | - | Dev.<br>Test | 31.53<br>31.54 | 30.46<br>31.42 | 29.52<br>29.79 | 26.52<br>26.47 | 30.46<br>31.42 | 23.67<br>23.70 |\n| joint | hard | Dev.<br>Test | 31.81<br>31.55 | 30.18<br>31.13 | 29.11<br>29.93 | 26.48<br>26.58 | 30.47<br>31.35 | 23.87<br>23.88 |\n| soft | Dev.<br>Test | 32.11<br>∗<br>31.96 | 30.41<br>31.40 | 30.24<br>∗∗<br>30.57 | 26.92<br>26.55 | 30.39<br>31.33 | 23.99<br>23.79 |  |\n| likelihood | Dev.<br>Test | 33.35<br>∗∗<br>33.54 | 31.63<br>∗∗<br>32.33 | 32.45<br>∗∗<br>32.59 | 27.90<br>∗∗<br>28.01 | 31.49<br>∗∗<br>32.34 | 25.21<br>∗∗<br>25.93 |  |",0]
["| Dataset | Numberof<br>categorical<br>features | Numberof<br>numerical<br>features | Number<br>ofclasses | Numberof<br>objectsin<br>trainingset | Numberof<br>objectsin<br>testset |\n| --- | --- | --- | --- | --- | --- |\n| Dexter | 0 | 20000 | 2 | 420 | 180 |\n| GermanCredit | 13 | 7 | 2 | 700 | 300 |\n| Dorothea | 0 | 100000 | 2 | 805 | 345 |\n| Yeast | 0 | 8 | 10 | 1039 | 445 |","| Secom | 0 | 590 | 2 | 1097 | 470 |\n| --- | --- | --- | --- | --- | --- |\n| Semeion | 0 | 256 | 10 | 1116 | 477 |\n| Car | 6 | 0 | 4 | 1210 | 518 |\n| KR-vs-KP | 36 | 0 | 2 | 2238 | 958 |\n| Waveform | 0 | 40 | 3 | 3500 | 1500 |\n| Shuttle | 38 | 192 | 2 | 35000 | 15000 |",1]
["| Dataset | Numberof<br>categorical<br>features | Numberof<br>numerical<br>features | Number<br>ofclasses | Numberof<br>objectsin<br>trainingset | Numberof<br>objectsin<br>testset |\n| --- | --- | --- | --- | --- | --- |\n| Dexter | 0 | 20000 | 2 | 420 | 180 |\n| GermanCredit | 13 | 7 | 2 | 700 | 300 |\n| Dorothea | 0 | 100000 | 2 | 805 | 345 |\n| Yeast | 0 | 8 | 10 | 1039 | 445 |","| soft | Dev.<br>Test | 32.11<br>∗<br>31.96 | 30.41<br>31.40 | 30.24<br>∗∗<br>30.57 | 26.92<br>26.55 | 30.39<br>31.33 | 23.99<br>23.79 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| likelihood | Dev.<br>Test | 33.35<br>∗∗<br>33.54 | 31.63<br>∗∗<br>32.33 | 32.45<br>∗∗<br>32.59 | 27.90<br>∗∗<br>28.01 | 31.49<br>∗∗<br>32.34 | 25.21<br>∗∗<br>25.93 |",0]
["| #Datasets | MemeTracker | SinaWeibo |\n| --- | --- | --- |\n| #Nodes | 1,000 | 1,000 |\n| #Edges | 4,323 | 1,671 |\n| #Cascades | 2,762 | 2,907 |","| Maximal#infectionsincascades | 240 | 163 |\n| --- | --- | --- |\n| Average#infectionsincascades | 14.85 | 6.62 |",1]
["| #Datasets | MemeTracker | SinaWeibo |\n| --- | --- | --- |\n| #Nodes | 1,000 | 1,000 |\n| #Edges | 4,323 | 1,671 |\n| #Cascades | 2,762 | 2,907 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| hiva | 2 | 2 | 40 | 15 | 13 | 1 | 1 | 4 |\n| ohsumed | 61 | 54 | 563 | 577 | 89 | 32 | 2 | 50 |\n| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |\n| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |\n| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |\n| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 |",0]
["| #Datasets | MemeTracker | SinaWeibo |\n| --- | --- | --- |\n| #Nodes | 1,000 | 1,000 |\n| #Edges | 4,323 | 1,671 |","| #Cascades | 2,762 | 2,907 |\n| --- | --- | --- |\n| Maximal#infectionsincascades | 240 | 163 |\n| Average#infectionsincascades | 14.85 | 6.62 |",1]
["| #Datasets | MemeTracker | SinaWeibo |\n| --- | --- | --- |\n| #Nodes | 1,000 | 1,000 |\n| #Edges | 4,323 | 1,671 |","| acpj | 29 | 3 | - | - | 905 | 136 | 9 | 175 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| sido0 | 33 | 77 | 8,928 | 8,669 | 206 | 5 | 2 | 13 |\n| thrombin | 544 | 133 | 23,456 | 17,615 | 1429 | 241 | 11 | 291 |\n| infant | 1 | 1 | 1 | 1 | 0.5 | 0.1 | 0.01 | 0.1 |",0]
["| Conﬁguration | Controllers | Switches | #Maliciouscontrollers | Badmouthing |\n| --- | --- | --- | --- | --- |\n| Conﬁg1 | 3 | 6 | 1 | C1badmouthedC2 |\n| Conﬁg2 | 3 | 6 | 2 | C1,C2badmouthedC3 |","| Conﬁg3 | 6 | 12 | 1 | C1badmouthedC2andC3 |\n| --- | --- | --- | --- | --- |\n| Conﬁg4 | 6 | 12 | 2 | C1,C2badmouthedC3andC4 |",1]
["| Conﬁguration | Controllers | Switches | #Maliciouscontrollers | Badmouthing |\n| --- | --- | --- | --- | --- |\n| Conﬁg1 | 3 | 6 | 1 | C1badmouthedC2 |\n| Conﬁg2 | 3 | 6 | 2 | C1,C2badmouthedC3 |","| Circuit | No.of<br>Inputs | No.of<br>Gates | Time |\n| --- | --- | --- | --- |\n| c17 | 5 | 6 | 0.047s |\n|  |  |  |  |\n| voter | 12 | 59 | 0.641s |\n| pc | 27 | 103 | 225.297s |\n| count | 35 | 144 | 36.610s |\n| alu4 | 14 | 63 | 58.626s |\n| malu4 | 14 | 92 | 588.702s |",0]
["| Conﬁguration | Controllers | Switches | #Maliciouscontrollers | Badmouthing |\n| --- | --- | --- | --- | --- |\n| Conﬁg1 | 3 | 6 | 1 | C1badmouthedC2 |","| Conﬁg2 | 3 | 6 | 2 | C1,C2badmouthedC3 |\n| --- | --- | --- | --- | --- |\n| Conﬁg3 | 6 | 12 | 1 | C1badmouthedC2andC3 |\n| Conﬁg4 | 6 | 12 | 2 | C1,C2badmouthedC3andC4 |",1]
["| Conﬁguration | Controllers | Switches | #Maliciouscontrollers | Badmouthing |\n| --- | --- | --- | --- | --- |\n| Conﬁg1 | 3 | 6 | 1 | C1badmouthedC2 |","| count | 35 | 144 | 36.610s |\n| --- | --- | --- | --- |\n| alu4 | 14 | 63 | 58.626s |\n| malu4 | 14 | 92 | 588.702s |",0]
["| query | category | length | keywords |\n| --- | --- | --- | --- |\n| Q1 | 1 | 2 | imageuri |\n| Q2 | 3 | imageurirelease |  |\n| Q3 | 4 | imageurireleaseidentiﬁers |  |","| Q4 | 2 | 2 | vinylelectronic |\n| --- | --- | --- | --- |\n| Q5 | 3 | vinylelectronic12” |  |\n| Q6 | 4 | vinylelectronic12”uk |  |\n| Q7 | 3 | 2 | descriptionrpm |\n| Q8 | 3 | descriptionrpm45 |  |\n| Q9 | 4 | descriptionrpm457” |  |",1]
["| query | category | length | keywords |\n| --- | --- | --- | --- |\n| Q1 | 1 | 2 | imageuri |\n| Q2 | 3 | imageurirelease |  |\n| Q3 | 4 | imageurireleaseidentiﬁers |  |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| query | category | length | keywords |\n| --- | --- | --- | --- |\n| Q1 | 1 | 2 | imageuri |\n| Q2 | 3 | imageurirelease |  |\n| Q3 | 4 | imageurireleaseidentiﬁers |  |\n| Q4 | 2 | 2 | vinylelectronic |\n| Q5 | 3 | vinylelectronic12” |  |","| Q6 | 4 | vinylelectronic12”uk |  |\n| --- | --- | --- | --- |\n| Q7 | 3 | 2 | descriptionrpm |\n| Q8 | 3 | descriptionrpm45 |  |\n| Q9 | 4 | descriptionrpm457” |  |",1]
["| query | category | length | keywords |\n| --- | --- | --- | --- |\n| Q1 | 1 | 2 | imageuri |\n| Q2 | 3 | imageurirelease |  |\n| Q3 | 4 | imageurireleaseidentiﬁers |  |\n| Q4 | 2 | 2 | vinylelectronic |\n| Q5 | 3 | vinylelectronic12” |  |","| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| --- | --- | --- |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| ServiceType | Amazon | Microsoft |\n| --- | --- | --- |\n| ObjectStorage | AWSSimpleStorageService(S3) | AzureBlobStorage |","| VirtualMachineDisk(Block)Storage | AWSElasticBlockStorage(EBS) | AzureManagedDisksStorage |\n| --- | --- | --- |\n| LongTermColdStorage | AWSGlacier | AzureBlobStorage(Cool) |\n| FileStorage | AWSElasticFileSystem(EFS) | AzureFileStorage |",1]
["| ServiceType | Amazon | Microsoft |\n| --- | --- | --- |\n| ObjectStorage | AWSSimpleStorageService(S3) | AzureBlobStorage |","| NetworkingServices | Amazon | Microsoft |\n| --- | --- | --- |\n| VirtualNetworking | AWSVPC | AzureVNet |\n| DNSServices | AWSRoute53 | AzureDNS |\n| PrivateConnectivity | AWSDirectConnect | AzureExpressRoute |\n| ContentDeliveryNetwork | AWSCloudFront | AzureCDN |\n| LoadBalancing | AWSElasticLoadBalancing<br>Classic&ApplicationLoadBalancing | AzureLoadBalancer<br>AzureApplicationGateway |",0]
["| ServiceType | Amazon | Microsoft |\n| --- | --- | --- |\n| ObjectStorage | AWSSimpleStorageService(S3) | AzureBlobStorage |","| VirtualMachineDisk(Block)Storage | AWSElasticBlockStorage(EBS) | AzureManagedDisksStorage |\n| --- | --- | --- |\n| LongTermColdStorage | AWSGlacier | AzureBlobStorage(Cool) |\n| FileStorage | AWSElasticFileSystem(EFS) | AzureFileStorage |",1]
["| ServiceType | Amazon | Microsoft |\n| --- | --- | --- |\n| ObjectStorage | AWSSimpleStorageService(S3) | AzureBlobStorage |","| ContentDeliveryNetwork | AWSCloudFront | AzureCDN |\n| --- | --- | --- |\n| LoadBalancing | AWSElasticLoadBalancing<br>Classic&ApplicationLoadBalancing | AzureLoadBalancer<br>AzureApplicationGateway |",0]
["| Method | valence |\n| --- | --- |\n|  | F1(all)F1(L30)F1(L10) |\n| VideoFC7+LDA<br>VideoFC7+LSVM<br>VideoFC7+RSVM | 0.69±0.030.68±0.110.60±0.19<br>0.66±0.020.64±0.100.57±0.19<br>0.71±0.020.70±0.100.61±0.18 |\n| ConstantBlurFC7+LDA<br>ConstantBlurFC7+LSVM<br>ConstantBlurFC7+RSVM | 0.70±0.020.67±0.100.63±0.21<br>0.67±0.020.68±0.100.62±0.23<br>0.73±0.020.70±0.090.65±0.21 |","| AdaptiveBlurFC7+LDA<br>AdaptiveBlurFC7+LSVM<br>AdaptiveBlurFC7+RSVM | 0.71±0.020.67±0.100.63±0.21<br>0.66±0.020.69±0.100.62±0.23<br>0.72±0.020.70±0.090.64±0.21 |\n| --- | --- |\n| ObjectCropsFC7+LDA<br>ObjectCropsFC7+LSVM<br>ObjectCropsFC7+RSVM | 0.59±0.040.60±0.100.54±0.17<br>0.59±0.030.59±0.100.54±0.17<br>0.63±0.040.63±0.100.58±0.17 |\n| ObjectRetainedFC7+LDA<br>ObjectRetainedFC7+LSVM<br>ObjectRetainedFC7+RSVM | 0.59±0.030.56±0.080.57±0.21<br>0.57±0.030.57±0.100.53±0.20<br>0.61±0.030.58±0.090.56±0.21 |\n| AlexNetFC8+LDA<br>AlexNetFC8+LSVM<br>AlexNetFC8+RSVM | 0.71±0.020.68±0.110.71±0.18<br>0.70±0.020.70±0.090.72±0.19<br>0.71±0.020.69±0.090.73±0.17 |\n| Gist+LDA<br>Gist+LSVM<br>Gist+RSVM | 0.57±0.030.52±0.100.43±0.16<br>0.57±0.030.53±0.100.42±0.16<br>0.39±0.020.36±0.060.35±0.09 |\n| EyeROIFC7+LDA<br>EyeROIFC7+LSVM<br>EyeROIFC7+RSVM | 0.65±0.020.61±0.100.60±0.21<br>0.62±0.030.58±0.070.55±0.21<br>0.68±0.020.63±0.100.62±0.20 |\n| EyeHist+LDA<br>EyeHist+LSVM<br>EyeHist+RSVM | 0.53±0.040.57±0.040.50±0.05<br>0.52±0.040.54±0.030.52±0.05<br>0.53±0.040.58±0.040.52±0.05 |\n| EyeROI+ContextBlurFC7+LDA<br>EyeROI+ContextBlurFC7+LSVM<br>EyeROI+ContextBlurFC7+RSVM | 0.69±0.020.71±0.090.65±0.16<br>0.67±0.020.67±0.110.59±0.18<br>0.74±0.020.74±0.080.65±0.19 |",1]
["| Method | valence |\n| --- | --- |\n|  | F1(all)F1(L30)F1(L10) |\n| VideoFC7+LDA<br>VideoFC7+LSVM<br>VideoFC7+RSVM | 0.69±0.030.68±0.110.60±0.19<br>0.66±0.020.64±0.100.57±0.19<br>0.71±0.020.70±0.100.61±0.18 |\n| ConstantBlurFC7+LDA<br>ConstantBlurFC7+LSVM<br>ConstantBlurFC7+RSVM | 0.70±0.020.67±0.100.63±0.21<br>0.67±0.020.68±0.100.62±0.23<br>0.73±0.020.70±0.090.65±0.21 |","| Method | NJU2000-TE | NLPR-TE | LFSD | RGBD135 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ | MAE | Fβ |  |\n| PDNet | 0.8503 | 0.0689 | 0.8478 | 0.0491 | 0.8219 | 0.0752 | 0.8805 | 0.0384 | 0.8152 |\n| CTMF17<br>DF17<br>TPF17<br>SE16<br>ACSD15<br>NLPR14<br>DES14 | -<br>-<br>0.7213<br>0.6946<br>0.6747<br>0.6165<br>0.6202 | -<br>-<br>0.1488<br>0.1687<br>0.1939<br>0.1669<br>0.4465 | -<br>-<br>0.7190<br>0.7101<br>0.6019<br>0.5957<br>0.5915 | -<br>-<br>0.0852<br>0.0904<br>0.1624<br>0.1087<br>0.3207 | 0.8025<br>0.8109<br>0.7925<br>0.7568<br>0.7865<br>0.7356<br>0.7254 | 0.0912<br>0.0815<br>0.1058<br>0.1156<br>0.1425<br>0.1547<br>0.2168 | 0.8102<br>0.8059<br>0.7395<br>0.5807<br>0.6851<br>0.4912<br>0.5410 | 0.0653<br>0.6871<br>0.0891<br>0.1253<br>0.1518<br>0.1165<br>0.3079 | 0.7925<br>0.7858<br>0.7541<br>0.6666<br>0.6382<br>0.6415<br>0.5797 |\n| BSCA15<br>LIP15<br>HS16 | 0.6290<br>0.5692<br>0.6090 | 0.2148<br>0.2059<br>0.2516 | 0.5925<br>0.5890<br>0.6003 | 0.1754<br>0.1252<br>0.1909 | 0.7126<br>0.7176<br>0.7248 | 0.1894<br>0.1880<br>0.1751 | 0.5826<br>0.5452<br>0.5361 | 0.1851<br>0.1406<br>0.1849 | 0.5755<br>0.5935<br>0.5716 |",0]
["| Method | valence |\n| --- | --- |\n|  | F1(all)F1(L30)F1(L10) |\n| VideoFC7+LDA<br>VideoFC7+LSVM<br>VideoFC7+RSVM | 0.69±0.030.68±0.110.60±0.19<br>0.66±0.020.64±0.100.57±0.19<br>0.71±0.020.70±0.100.61±0.18 |\n| ConstantBlurFC7+LDA<br>ConstantBlurFC7+LSVM<br>ConstantBlurFC7+RSVM | 0.70±0.020.67±0.100.63±0.21<br>0.67±0.020.68±0.100.62±0.23<br>0.73±0.020.70±0.090.65±0.21 |\n| AdaptiveBlurFC7+LDA<br>AdaptiveBlurFC7+LSVM<br>AdaptiveBlurFC7+RSVM | 0.71±0.020.67±0.100.63±0.21<br>0.66±0.020.69±0.100.62±0.23<br>0.72±0.020.70±0.090.64±0.21 |\n| ObjectCropsFC7+LDA<br>ObjectCropsFC7+LSVM<br>ObjectCropsFC7+RSVM | 0.59±0.040.60±0.100.54±0.17<br>0.59±0.030.59±0.100.54±0.17<br>0.63±0.040.63±0.100.58±0.17 |\n| ObjectRetainedFC7+LDA<br>ObjectRetainedFC7+LSVM<br>ObjectRetainedFC7+RSVM | 0.59±0.030.56±0.080.57±0.21<br>0.57±0.030.57±0.100.53±0.20<br>0.61±0.030.58±0.090.56±0.21 |\n| AlexNetFC8+LDA<br>AlexNetFC8+LSVM<br>AlexNetFC8+RSVM | 0.71±0.020.68±0.110.71±0.18<br>0.70±0.020.70±0.090.72±0.19<br>0.71±0.020.69±0.090.73±0.17 |\n| Gist+LDA<br>Gist+LSVM<br>Gist+RSVM | 0.57±0.030.52±0.100.43±0.16<br>0.57±0.030.53±0.100.42±0.16<br>0.39±0.020.36±0.060.35±0.09 |","| EyeROIFC7+LDA<br>EyeROIFC7+LSVM<br>EyeROIFC7+RSVM | 0.65±0.020.61±0.100.60±0.21<br>0.62±0.030.58±0.070.55±0.21<br>0.68±0.020.63±0.100.62±0.20 |\n| --- | --- |\n| EyeHist+LDA<br>EyeHist+LSVM<br>EyeHist+RSVM | 0.53±0.040.57±0.040.50±0.05<br>0.52±0.040.54±0.030.52±0.05<br>0.53±0.040.58±0.040.52±0.05 |\n| EyeROI+ContextBlurFC7+LDA<br>EyeROI+ContextBlurFC7+LSVM<br>EyeROI+ContextBlurFC7+RSVM | 0.69±0.020.71±0.090.65±0.16<br>0.67±0.020.67±0.110.59±0.18<br>0.74±0.020.74±0.080.65±0.19 |",1]
["| Method | valence |\n| --- | --- |\n|  | F1(all)F1(L30)F1(L10) |\n| VideoFC7+LDA<br>VideoFC7+LSVM<br>VideoFC7+RSVM | 0.69±0.030.68±0.110.60±0.19<br>0.66±0.020.64±0.100.57±0.19<br>0.71±0.020.70±0.100.61±0.18 |\n| ConstantBlurFC7+LDA<br>ConstantBlurFC7+LSVM<br>ConstantBlurFC7+RSVM | 0.70±0.020.67±0.100.63±0.21<br>0.67±0.020.68±0.100.62±0.23<br>0.73±0.020.70±0.090.65±0.21 |\n| AdaptiveBlurFC7+LDA<br>AdaptiveBlurFC7+LSVM<br>AdaptiveBlurFC7+RSVM | 0.71±0.020.67±0.100.63±0.21<br>0.66±0.020.69±0.100.62±0.23<br>0.72±0.020.70±0.090.64±0.21 |\n| ObjectCropsFC7+LDA<br>ObjectCropsFC7+LSVM<br>ObjectCropsFC7+RSVM | 0.59±0.040.60±0.100.54±0.17<br>0.59±0.030.59±0.100.54±0.17<br>0.63±0.040.63±0.100.58±0.17 |\n| ObjectRetainedFC7+LDA<br>ObjectRetainedFC7+LSVM<br>ObjectRetainedFC7+RSVM | 0.59±0.030.56±0.080.57±0.21<br>0.57±0.030.57±0.100.53±0.20<br>0.61±0.030.58±0.090.56±0.21 |\n| AlexNetFC8+LDA<br>AlexNetFC8+LSVM<br>AlexNetFC8+RSVM | 0.71±0.020.68±0.110.71±0.18<br>0.70±0.020.70±0.090.72±0.19<br>0.71±0.020.69±0.090.73±0.17 |\n| Gist+LDA<br>Gist+LSVM<br>Gist+RSVM | 0.57±0.030.52±0.100.43±0.16<br>0.57±0.030.53±0.100.42±0.16<br>0.39±0.020.36±0.060.35±0.09 |","| PDNet | 0.8503 | 0.0689 | 0.8478 | 0.0491 | 0.8219 | 0.0752 | 0.8805 | 0.0384 | 0.8152 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CTMF17<br>DF17<br>TPF17<br>SE16<br>ACSD15<br>NLPR14<br>DES14 | -<br>-<br>0.7213<br>0.6946<br>0.6747<br>0.6165<br>0.6202 | -<br>-<br>0.1488<br>0.1687<br>0.1939<br>0.1669<br>0.4465 | -<br>-<br>0.7190<br>0.7101<br>0.6019<br>0.5957<br>0.5915 | -<br>-<br>0.0852<br>0.0904<br>0.1624<br>0.1087<br>0.3207 | 0.8025<br>0.8109<br>0.7925<br>0.7568<br>0.7865<br>0.7356<br>0.7254 | 0.0912<br>0.0815<br>0.1058<br>0.1156<br>0.1425<br>0.1547<br>0.2168 | 0.8102<br>0.8059<br>0.7395<br>0.5807<br>0.6851<br>0.4912<br>0.5410 | 0.0653<br>0.6871<br>0.0891<br>0.1253<br>0.1518<br>0.1165<br>0.3079 | 0.7925<br>0.7858<br>0.7541<br>0.6666<br>0.6382<br>0.6415<br>0.5797 |\n| BSCA15<br>LIP15<br>HS16 | 0.6290<br>0.5692<br>0.6090 | 0.2148<br>0.2059<br>0.2516 | 0.5925<br>0.5890<br>0.6003 | 0.1754<br>0.1252<br>0.1909 | 0.7126<br>0.7176<br>0.7248 | 0.1894<br>0.1880<br>0.1751 | 0.5826<br>0.5452<br>0.5361 | 0.1851<br>0.1406<br>0.1849 | 0.5755<br>0.5935<br>0.5716 |",0]
["| Method | MeanSquaredError |\n| --- | --- |\n| Isomap | 704 |","| LLE | 950 |\n| --- | --- |\n| LE | 7033 |\n| Ours | 361 |",1]
["| Method | MeanSquaredError |\n| --- | --- |\n| Isomap | 704 |","| Method | mAP |\n| --- | --- |\n| HoG | 0.584 |\n| Loci | 0.419 |\n| Graph-based | 0.565 |\n| FFT | 0.771 |\n| ProposedRLF | 0.783 |",0]
["| Method | MeanSquaredError |\n| --- | --- |\n| Isomap | 704 |","| LLE | 950 |\n| --- | --- |\n| LE | 7033 |\n| Ours | 361 |",1]
["| Method | MeanSquaredError |\n| --- | --- |\n| Isomap | 704 |","| FFT | 0.771 |\n| --- | --- |\n| ProposedRLF | 0.783 |",0]
["| method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |\n| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |\n| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |","| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",1]
["| method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |\n| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |\n| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |","| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |\n| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |\n| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |","| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",1]
["| method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |\n| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |","| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Fr-Es | Fr-De |\n| --- | --- |\n| 13.6413.6313.75<br>15.1015.2915.31<br>12.2712.3512.31 | 7.828.047.84<br>8.768.958.82<br>6.997.016.82 |","| Es-Fr | Es-De |\n| --- | --- |\n| 13.4313.3313.48<br>14.5514.4014.40<br>12.5312.3512.26 | 7.577.827.57<br>8.708.638.65<br>7.076.886.86 |\n| De-Fr | De-Es |",1]
["| Fr-Es | Fr-De |\n| --- | --- |\n| 13.6413.6313.75<br>15.1015.2915.31<br>12.2712.3512.31 | 7.828.047.84<br>8.768.958.82<br>6.997.016.82 |","| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |\n| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| Fr-Es | Fr-De |\n| --- | --- |\n| 13.6413.6313.75<br>15.1015.2915.31<br>12.2712.3512.31 | 7.828.047.84<br>8.768.958.82<br>6.997.016.82 |","| Es-Fr | Es-De |\n| --- | --- |\n| 13.4313.3313.48<br>14.5514.4014.40<br>12.5312.3512.26 | 7.577.827.57<br>8.708.638.65<br>7.076.886.86 |\n| De-Fr | De-Es |",1]
["| Fr-Es | Fr-De |\n| --- | --- |\n| 13.6413.6313.75<br>15.1015.2915.31<br>12.2712.3512.31 | 7.828.047.84<br>8.768.958.82<br>6.997.016.82 |","| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| --- |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| doctor | nurse |\n| --- | --- |\n| doctor | syringe |\n| doctor | medicine |\n| syringe | medicine |\n| hospital | nurse |","| disease | medicine |\n| --- | --- |\n| hospital | nurse |\n| hospital | health |\n| health | medicine |\n| hospital | problem |\n| treatment | cancer |\n| breast | cancer |\n| database | medical |\n| depression | medicine |\n| depression | chemical |\n| family | planning |\n| children | vaccine |",1]
["| doctor | nurse |\n| --- | --- |\n| doctor | syringe |\n| doctor | medicine |\n| syringe | medicine |\n| hospital | nurse |","| patientname | age | id | trestbps | chol | thalach |\n| --- | --- | --- | --- | --- | --- |\n| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |\n| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) |\n| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",0]
["| doctor | nurse |\n| --- | --- |\n| doctor | syringe |\n| doctor | medicine |","| syringe | medicine |\n| --- | --- |\n| hospital | nurse |\n| disease | medicine |\n| hospital | nurse |\n| hospital | health |\n| health | medicine |\n| hospital | problem |\n| treatment | cancer |\n| breast | cancer |\n| database | medical |\n| depression | medicine |\n| depression | chemical |\n| family | planning |\n| children | vaccine |",1]
["| doctor | nurse |\n| --- | --- |\n| doctor | syringe |\n| doctor | medicine |","| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| --- | --- | --- | --- | --- | --- |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",0]
["| Range | 2LDE | 5LDEs | 30LDEs | 90LDEs |\n| --- | --- | --- | --- | --- |\n| 5 | 4.97 | 4.93 | 4.61 | 3.99 |\n| 9 | 8.92 | 8.89 | 8.16 | 6.78 |\n| 17 | 16.82 | 16.69 | 15.11 | 11.74 |\n| 33 | 32.59 | 32.39 | 28.57 | 20.66 |\n| 65 | 64.15 | 63.28 | 54.06 | 34.68 |\n| 129 | 127.11 | 124.20 | 99.11 | 51.44 |","| 257 | 252.79 | 244.76 | 176.12 | 68.40 |\n| --- | --- | --- | --- | --- |\n| 513 | 501.27 | 481.27 | 308.30 | 87.65 |\n| 1025 | 993.81 | 945.15 | 525.85 | 114.74 |\n| 2049 | 1972.04 | 1852.66 | 897.32 | 150.58 |\n| 4097 | 3920.22 | 3646.23 | 1557.49 | 211.95 |\n| 8193 | 7810.89 | 7224.94 | 2853.74 | 346.77 |\n| 16385 | 15599.41 | 14388.60 | 5488.09 | 628.31 |\n| 32769 | 31176.54 | 28714.82 | 10722.84 | 1159.05 |\n| 65537 | 62330.68 | 51724.69 | 21179.73 | 2199.60 |",1]
["| Range | 2LDE | 5LDEs | 30LDEs | 90LDEs |\n| --- | --- | --- | --- | --- |\n| 5 | 4.97 | 4.93 | 4.61 | 3.99 |\n| 9 | 8.92 | 8.89 | 8.16 | 6.78 |\n| 17 | 16.82 | 16.69 | 15.11 | 11.74 |\n| 33 | 32.59 | 32.39 | 28.57 | 20.66 |\n| 65 | 64.15 | 63.28 | 54.06 | 34.68 |\n| 129 | 127.11 | 124.20 | 99.11 | 51.44 |","| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Range | 2LDE | 5LDEs | 30LDEs | 90LDEs |\n| --- | --- | --- | --- | --- |\n| 5 | 4.97 | 4.93 | 4.61 | 3.99 |\n| 9 | 8.92 | 8.89 | 8.16 | 6.78 |\n| 17 | 16.82 | 16.69 | 15.11 | 11.74 |\n| 33 | 32.59 | 32.39 | 28.57 | 20.66 |","| 65 | 64.15 | 63.28 | 54.06 | 34.68 |\n| --- | --- | --- | --- | --- |\n| 129 | 127.11 | 124.20 | 99.11 | 51.44 |\n| 257 | 252.79 | 244.76 | 176.12 | 68.40 |\n| 513 | 501.27 | 481.27 | 308.30 | 87.65 |\n| 1025 | 993.81 | 945.15 | 525.85 | 114.74 |\n| 2049 | 1972.04 | 1852.66 | 897.32 | 150.58 |\n| 4097 | 3920.22 | 3646.23 | 1557.49 | 211.95 |\n| 8193 | 7810.89 | 7224.94 | 2853.74 | 346.77 |\n| 16385 | 15599.41 | 14388.60 | 5488.09 | 628.31 |\n| 32769 | 31176.54 | 28714.82 | 10722.84 | 1159.05 |\n| 65537 | 62330.68 | 51724.69 | 21179.73 | 2199.60 |",1]
["| Range | 2LDE | 5LDEs | 30LDEs | 90LDEs |\n| --- | --- | --- | --- | --- |\n| 5 | 4.97 | 4.93 | 4.61 | 3.99 |\n| 9 | 8.92 | 8.89 | 8.16 | 6.78 |\n| 17 | 16.82 | 16.69 | 15.11 | 11.74 |\n| 33 | 32.59 | 32.39 | 28.57 | 20.66 |","| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Job/Task | Scheduler | FIFO | Fair | Capacity |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n| Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 |\n| Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 |  |","| HDFSRead(10bytes) | 9930 | 7431 | 10968 | 8762 | 12463 | 8360 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| HDFSWrite(10bytes) | 8583 | 5985 | 9784 | 6202 | 10285 | 7420 |  |\n| Task | CPU(ms) | 3855 | 2520 | 4033 | 2184 | 4170 | 2851 |\n| Memory(10bytes | 1412 | 1058 | 2496 | 1741 | 2638 | 2115 |  |\n| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 |  |\n| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 |  |",1]
["| Job/Task | Scheduler | FIFO | Fair | Capacity |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n| Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 |\n| Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 |  |","| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| Job/Task | Scheduler | FIFO | Fair | Capacity |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n| Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 |\n| Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 |  |\n| HDFSRead(10bytes) | 9930 | 7431 | 10968 | 8762 | 12463 | 8360 |  |\n| HDFSWrite(10bytes) | 8583 | 5985 | 9784 | 6202 | 10285 | 7420 |  |","| Task | CPU(ms) | 3855 | 2520 | 4033 | 2184 | 4170 | 2851 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Memory(10bytes | 1412 | 1058 | 2496 | 1741 | 2638 | 2115 |  |\n| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 |  |\n| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 |  |",1]
["| Job/Task | Scheduler | FIFO | Fair | Capacity |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n| Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 |\n| Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 |  |\n| HDFSRead(10bytes) | 9930 | 7431 | 10968 | 8762 | 12463 | 8360 |  |\n| HDFSWrite(10bytes) | 8583 | 5985 | 9784 | 6202 | 10285 | 7420 |  |","| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| MASR | PPF | 3D-CNN | ANNC-ASSCC |\n| --- | --- | --- | --- |\n| 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 |\n| 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 |\n| 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 |\n| 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 |\n| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |","| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| --- | --- | --- | --- |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",1]
["| MASR | PPF | 3D-CNN | ANNC-ASSCC |\n| --- | --- | --- | --- |\n| 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 |\n| 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 |\n| 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 |\n| 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 |\n| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |","| k..kminmax | c±se | c±soute | c±sine |\n| --- | --- | --- | --- |\n| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |\n| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |\n| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |\n| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |\n| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",0]
["| MASR | PPF | 3D-CNN | ANNC-ASSCC |\n| --- | --- | --- | --- |\n| 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 |\n| 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 |\n| 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 |\n| 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 |\n| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |","| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| --- | --- | --- | --- |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",1]
["| MASR | PPF | 3D-CNN | ANNC-ASSCC |\n| --- | --- | --- | --- |\n| 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 |\n| 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 |\n| 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 |\n| 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 |\n| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |","| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |\n| --- | --- | --- | --- |\n| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |\n| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |\n| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",0]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 42.0713 |","| 44 | 25 | 28.4811 |\n| --- | --- | --- |\n| 62 | 12 | 34.8202 |\n| 59 | 37 | 37.4543 |\n| 49 | 10 | 28.3241 |\n| 54 | 20 | 32.8109 |\n| 59 | 18 | 34.8505 |\n| 78 | 25 | 45.0267 |\n| 73 | 25 | 42.7024 |\n| 49 | 10 | 28.3241 |\n| 75 | 21 | 42.8816 |\n| 61 | 19 | 35.9865 |\n| 57 | 28 | 35.4336 |\n| 61 | 34 | 38.1427 |\n| 56 | 34 | 35.6204 |\n| 56 | 11 | 31.8192 |\n| 66 | 12 | 38.8935 |",1]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 42.0713 |","| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 2860.85 |\n| 44 | 25 | 1253.17 |\n| 62 | 12 | 2158.85 |\n| 59 | 37 | 2209.80 |\n| 49 | 10 | 1387.88 |\n| 54 | 20 | 1771.79 |\n| 59 | 18 | 2056.18 |\n| 78 | 25 | 3512.08 |\n| 73 | 25 | 3117.28 |\n| 49 | 10 | 1387.88 |\n| 75 | 21 | 3216.12 |\n| 61 | 19 | 2195.17 |\n| 57 | 28 | 2019.72 |\n| 61 | 34 | 2326.71 |\n| 56 | 34 | 1994.74 |\n| 56 | 11 | 1781.88 |\n| 66 | 12 | 2566.97 |",0]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 42.0713 |\n| 44 | 25 | 28.4811 |\n| 62 | 12 | 34.8202 |\n| 59 | 37 | 37.4543 |\n| 49 | 10 | 28.3241 |\n| 54 | 20 | 32.8109 |\n| 59 | 18 | 34.8505 |\n| 78 | 25 | 45.0267 |\n| 73 | 25 | 42.7024 |\n| 49 | 10 | 28.3241 |\n| 75 | 21 | 42.8816 |","| 61 | 19 | 35.9865 |\n| --- | --- | --- |\n| 57 | 28 | 35.4336 |\n| 61 | 34 | 38.1427 |\n| 56 | 34 | 35.6204 |\n| 56 | 11 | 31.8192 |\n| 66 | 12 | 38.8935 |",1]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 42.0713 |\n| 44 | 25 | 28.4811 |\n| 62 | 12 | 34.8202 |\n| 59 | 37 | 37.4543 |\n| 49 | 10 | 28.3241 |\n| 54 | 20 | 32.8109 |\n| 59 | 18 | 34.8505 |\n| 78 | 25 | 45.0267 |\n| 73 | 25 | 42.7024 |\n| 49 | 10 | 28.3241 |\n| 75 | 21 | 42.8816 |","| 59 | 18 | 2056.18 |\n| --- | --- | --- |\n| 78 | 25 | 3512.08 |\n| 73 | 25 | 3117.28 |\n| 49 | 10 | 1387.88 |\n| 75 | 21 | 3216.12 |\n| 61 | 19 | 2195.17 |\n| 57 | 28 | 2019.72 |\n| 61 | 34 | 2326.71 |\n| 56 | 34 | 1994.74 |\n| 56 | 11 | 1781.88 |\n| 66 | 12 | 2566.97 |",0]
["| Methods | COCO |\n| --- | --- |\n| B-1B-2B-3B-4MC |  |","| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 |\n| --- | --- |\n| LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |\n| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |",1]
["| Methods | COCO |\n| --- | --- |\n| B-1B-2B-3B-4MC |  |","| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |\n| MT+LSTM | TranslatedALL | 0.541 |\n| Parameter-sharingLSTM | ALL | 0.542 |\n| Average | – | 0.581 |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["| Methods | COCO |\n| --- | --- |\n| B-1B-2B-3B-4MC |  |\n| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 |","| LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |\n| --- | --- |\n| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |",1]
["| Methods | COCO |\n| --- | --- |\n| B-1B-2B-3B-4MC |  |\n| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 |","| MT+CNN | TranslatedALL | 0.564 |\n| --- | --- | --- |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| r=0 | 30.47 | 28.48 | 27.67 | 26.20 | 24.06 |\n| r=1 | 32.23 | 30.27 | 29.95 | 26.82 | 25.03 |\n| r=3 | 35.46 | 33.27 | 31.80 | 28.97 | 26.21 |","| r=4 | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |\n| --- | --- | --- | --- | --- | --- |\n| r=7 | 36.18 | 34.05 | 32.58 | 28.94 | 26.37 |\n| r=9 | 36.07 | 33.84 | 31.73 | 28.31 | 26.02 |\n| r=15 | 34.57 | 31.28 | 30.80 | 27.67 | 25.83 |",1]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| r=0 | 30.47 | 28.48 | 27.67 | 26.20 | 24.06 |\n| r=1 | 32.23 | 30.27 | 29.95 | 26.82 | 25.03 |\n| r=3 | 35.46 | 33.27 | 31.80 | 28.97 | 26.21 |","|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| KSVDG | 33.57 | 30.18 | 28.83 | 26.43 | 25.32 |\n| KSVDS | 34.23 | 31.02 | 28.94 | 26.66 | 25.48 |\n| KSVDC | 34.46 | 32.24 | 29.62 | 26.76 | 25.67 |\n| SCFW | 34.83 | 33.45 | 30.28 | 26.27 | 25.32 |\n| SCLW | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |",0]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| r=0 | 30.47 | 28.48 | 27.67 | 26.20 | 24.06 |\n| r=1 | 32.23 | 30.27 | 29.95 | 26.82 | 25.03 |\n| r=3 | 35.46 | 33.27 | 31.80 | 28.97 | 26.21 |\n| r=4 | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |\n| r=7 | 36.18 | 34.05 | 32.58 | 28.94 | 26.37 |","| r=9 | 36.07 | 33.84 | 31.73 | 28.31 | 26.02 |\n| --- | --- | --- | --- | --- | --- |\n| r=15 | 34.57 | 31.28 | 30.80 | 27.67 | 25.83 |",1]
["|  | σ=10 | σ=20 | σ=30 | σ=40 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| r=0 | 30.47 | 28.48 | 27.67 | 26.20 | 24.06 |\n| r=1 | 32.23 | 30.27 | 29.95 | 26.82 | 25.03 |\n| r=3 | 35.46 | 33.27 | 31.80 | 28.97 | 26.21 |\n| r=4 | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |\n| r=7 | 36.18 | 34.05 | 32.58 | 28.94 | 26.37 |","| SCFW | 34.83 | 33.45 | 30.28 | 26.27 | 25.32 |\n| --- | --- | --- | --- | --- | --- |\n| SCLW | 36.27 | 34.24 | 32.83 | 28.76 | 26.32 |",0]
["| TemplateS | TemplateT | Probability |\n| --- | --- | --- |\n| A | B | 0.671 |","| A | D | 0.505 |\n| --- | --- | --- |\n| B | D | 0.752 |\n| C | D | 0.504 |",1]
["| TemplateS | TemplateT | Probability |\n| --- | --- | --- |\n| A | B | 0.671 |","| Object | Probabilityofco-occurrence |\n| --- | --- |\n| Man | 0.240 |\n| Road | 0.151 |\n| Sign | 0.074 |\n| Sidewalk | 0.051 |\n| Traﬃc | 0.076 |",0]
["| TemplateS | TemplateT | Probability |\n| --- | --- | --- |\n| A | B | 0.671 |\n| A | D | 0.505 |","| B | D | 0.752 |\n| --- | --- | --- |\n| C | D | 0.504 |",1]
["| TemplateS | TemplateT | Probability |\n| --- | --- | --- |\n| A | B | 0.671 |\n| A | D | 0.505 |","| Sidewalk | 0.051 |\n| --- | --- |\n| Traﬃc | 0.076 |",0]
["| Controlby | FV | SP-AV | AV |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Const. | Dest. | Const. | Dest. | Const. | Dest. |  |\n| AddinganUnlimitedNumberofCandidates | R | R | R | R | I | V |\n| AddingaLimitedNumberofCandidates | R | R | R | R | I | V |\n| DeletingCandidates | R | R | R | R | V | I |","| PartitionofCandidates | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:I | TE:I<br>TP:I |\n| --- | --- | --- | --- | --- | --- | --- |\n| Run-oﬀPartitionofCandidates | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:I | TE:I<br>TP:I |\n| AddingVoters | R | V | R | V | R | V |\n| DeletingVoters | R | V | R | V | R | V |\n| PartitionofVoters | TE:R<br>TP:R | TE:S<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:V |",1]
["| Controlby | FV | SP-AV | AV |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Const. | Dest. | Const. | Dest. | Const. | Dest. |  |\n| AddinganUnlimitedNumberofCandidates | R | R | R | R | I | V |\n| AddingaLimitedNumberofCandidates | R | R | R | R | I | V |\n| DeletingCandidates | R | R | R | R | V | I |","| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | \\|V\\|0 | tiles | states | trans. | Time |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |\n| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 |\n| ValmemLatch | 7 | [2,5] | 8 | 4 | 73062 | 5 | 21 | 20 | 96.3 |\n| CSMA/CD | 3 | [3,8] | 3 | 3 | 2000 | 140 | 349 | 545 | 269 |\n| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |\n| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 |",0]
["| Controlby | FV | SP-AV | AV |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Const. | Dest. | Const. | Dest. | Const. | Dest. |  |\n| AddinganUnlimitedNumberofCandidates | R | R | R | R | I | V |\n| AddingaLimitedNumberofCandidates | R | R | R | R | I | V |","| DeletingCandidates | R | R | R | R | V | I |\n| --- | --- | --- | --- | --- | --- | --- |\n| PartitionofCandidates | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:I | TE:I<br>TP:I |\n| Run-oﬀPartitionofCandidates | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:I | TE:I<br>TP:I |\n| AddingVoters | R | V | R | V | R | V |\n| DeletingVoters | R | V | R | V | R | V |\n| PartitionofVoters | TE:R<br>TP:R | TE:S<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:R | TE:R<br>TP:R | TE:V<br>TP:V |",1]
["| Controlby | FV | SP-AV | AV |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Const. | Dest. | Const. | Dest. | Const. | Dest. |  |\n| AddinganUnlimitedNumberofCandidates | R | R | R | R | I | V |\n| AddingaLimitedNumberofCandidates | R | R | R | R | I | V |","| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 |",0]
["| σ | µ(1,σ)µ(2,σ) | µ(3,σ)µ(4,σ) | µ(5,σ)µ(6,σ) | µ(7,σ)µ(8,σ) |\n| --- | --- | --- | --- | --- |\n| 2 | 26 | 1230 | 54126 | 240504 |","| 3 | 36 | 2472 | 240696 | 2184648 |\n| --- | --- | --- | --- | --- |\n| 4 | 412 | 60240 | 10204020 | 1638065280 |\n| 5 | 520 | 120600 | 312015480 | 78120390000 |",1]
["| σ | µ(1,σ)µ(2,σ) | µ(3,σ)µ(4,σ) | µ(5,σ)µ(6,σ) | µ(7,σ)µ(8,σ) |\n| --- | --- | --- | --- | --- |\n| 2 | 26 | 1230 | 54126 | 240504 |","| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 5040 |\n| 10 | 957600 |\n| 11 | 123354000 |\n| 12 | 16842764400 |\n| 13 | 2764379217600 |\n| 14 | 527554510282800 |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |\n| 18 | 2167306256125914230527200 |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",0]
["| σ | µ(1,σ)µ(2,σ) | µ(3,σ)µ(4,σ) | µ(5,σ)µ(6,σ) | µ(7,σ)µ(8,σ) |\n| --- | --- | --- | --- | --- |\n| 2 | 26 | 1230 | 54126 | 240504 |\n| 3 | 36 | 2472 | 240696 | 2184648 |","| 4 | 412 | 60240 | 10204020 | 1638065280 |\n| --- | --- | --- | --- | --- |\n| 5 | 520 | 120600 | 312015480 | 78120390000 |",1]
["| σ | µ(1,σ)µ(2,σ) | µ(3,σ)µ(4,σ) | µ(5,σ)µ(6,σ) | µ(7,σ)µ(8,σ) |\n| --- | --- | --- | --- | --- |\n| 2 | 26 | 1230 | 54126 | 240504 |\n| 3 | 36 | 2472 | 240696 | 2184648 |","| 15 | 114387072405606000 |\n| --- | --- |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |\n| 18 | 2167306256125914230527200 |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",0]
["| Datasets |  |  |\n| --- | --- | --- |\n| MSNBC | AQUAINT | ACE2004 |","| Avg#<br>mentions<br>perdoc | 36.95 | 14.54 | 8.68 |\n| --- | --- | --- | --- |\n| Systems | #entities | #entities | #entities |\n| PBoH | 247.19 | 95.38 | 66.66 |\n| REL-RW | 382773.6 | 242443.1 | 256235.49 |",1]
["| Datasets |  |  |\n| --- | --- | --- |\n| MSNBC | AQUAINT | ACE2004 |","| Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mic | mac | mic | mac | mic | mac | mic | mac | mic |  |\n| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |\n| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |\n| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",0]
["| Datasets |  |  |  |\n| --- | --- | --- | --- |\n| MSNBC | AQUAINT | ACE2004 |  |\n| Avg#<br>mentions<br>perdoc | 36.95 | 14.54 | 8.68 |\n| Systems | #entities | #entities | #entities |","| PBoH | 247.19 | 95.38 | 66.66 |\n| --- | --- | --- | --- |\n| REL-RW | 382773.6 | 242443.1 | 256235.49 |",1]
["| Datasets |  |  |  |\n| --- | --- | --- | --- |\n| MSNBC | AQUAINT | ACE2004 |  |\n| Avg#<br>mentions<br>perdoc | 36.95 | 14.54 | 8.68 |\n| Systems | #entities | #entities | #entities |","| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",0]
["| K40Specs |  |\n| --- | --- |\n| GlobalMemory | 11520MB |\n| L2cachesize | 1.57MB |\n| Sharedmemoryperblock | 0.049MB |","| Multiprocessors | 15 |\n| --- | --- |\n| CoresperMP | 192 |\n| Registersperblock | 65536 |",1]
["| K40Specs |  |\n| --- | --- |\n| GlobalMemory | 11520MB |\n| L2cachesize | 1.57MB |\n| Sharedmemoryperblock | 0.049MB |","|  | TeslaK40t |\n| --- | --- |\n| GPUchip | GK110BGL |\n| Computecapability | 3.5 |\n| GPUmemory(GDDR5SGRAM) | 12288MiB |\n| Memorybuswidth | 384bits |\n| Peakmemoryclockrate | 3004MHz |\n| Theoreticalmemorybandwidth | 268.58GiB/s |\n| NumberofSMXprocessors | 15 |\n| Max32-bitregistersperSIMDprocessor | 65536 |\n| Maxsharedmemoryperthreadblock | 49152bytes |\n| L2cachesize | 1.50MiB |",0]
["| K40Specs |  |\n| --- | --- |\n| GlobalMemory | 11520MB |\n| L2cachesize | 1.57MB |\n| Sharedmemoryperblock | 0.049MB |","| Multiprocessors | 15 |\n| --- | --- |\n| CoresperMP | 192 |\n| Registersperblock | 65536 |",1]
["| K40Specs |  |\n| --- | --- |\n| GlobalMemory | 11520MB |\n| L2cachesize | 1.57MB |\n| Sharedmemoryperblock | 0.049MB |","| Maxsharedmemoryperthreadblock | 49152bytes |\n| --- | --- |\n| L2cachesize | 1.50MiB |",0]
["| Category | S-Level |\n| --- | --- |\n| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |\n| NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKnesset<br>MembersoftheAustralianHouseofRepresentatives | -221.48<br>-210.48<br>-203.06<br>-198.02<br>-190.78 |\n| Japanesevoiceactors<br>PrimeMinistersofJapan<br>Olympicmedalistsingymnastics<br>WorldSeriesofPokerbraceletwinners<br>LeadersoftheCommunistPartyofChina<br>Dutchfootballers | -185.33<br>-183.23<br>-177.27<br>-173.10<br>-170.48<br>-167.80 |\n| Brazilianfootballers<br>InternationalTennisHallofFameinductees<br>UKMPs2005–2010<br>Englishfootballers<br>Portuguesemonarchs | -165.41<br>-163.84<br>-161.44<br>-156.94<br>-154.01 |\n| PresidentsofMexico<br>ImperialRomanconsuls<br>African-Americanrappers<br>Americancountrysingers<br>Scottishfootballers | -153.20<br>-149.97<br>-148.59<br>-148.08<br>-146.34 |\n| NationalHockeyLeagueAll-Stars<br>MotoGPriders<br>Russiancomposers<br>MembersoftheQueen’sPrivyCouncilforCanada<br>UnitedStatesSupremeCourtjustices | -142.87<br>-141.36<br>-140.85<br>-140.20<br>-137.06 |\n| Pakistanipoliticians<br>Analyticphilosophers<br>HouseofHolstein-Gottorp-Romanov<br>NationalBaseballHallofFameinductees<br>NewZealandinternationalrugbyunionplayers<br>Japanesepopsingers | -134.66<br>-132.82<br>-132.00<br>-131.86<br>-130.72<br>-130.00 |\n| Americantelevisionchefs<br>RurikDynasty<br>MembersoftheUnitedStatesHouseofRepresentativesfromCalifornia<br>Portugalinternationalfootballers<br>WillEisnerAwardHallofFameinductees | -127.00<br>-125.14<br>-124.30<br>-123.33<br>-121.78 |","| Hungarianmonarchs<br>NobellaureatesinEconomics<br>Japaneseemperors<br>BurialsatRiddarholmenChurch<br>ConfederateStatesArmygenerals | -121.41<br>-119.82<br>-118.64<br>-117.55<br>-116.08 |\n| --- | --- |\n| TVBveteranactors<br>Americanprintmakers<br>Englishsnookerplayers<br>PrimeMinistersofFrance<br>MembersoftheHouseofRepresentativesoftheNetherlands | -115.87<br>-115.36<br>-114.83<br>-114.21<br>-112.84 |",1]
["| Category | S-Level |\n| --- | --- |\n| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |\n| NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKnesset<br>MembersoftheAustralianHouseofRepresentatives | -221.48<br>-210.48<br>-203.06<br>-198.02<br>-190.78 |\n| Japanesevoiceactors<br>PrimeMinistersofJapan<br>Olympicmedalistsingymnastics<br>WorldSeriesofPokerbraceletwinners<br>LeadersoftheCommunistPartyofChina<br>Dutchfootballers | -185.33<br>-183.23<br>-177.27<br>-173.10<br>-170.48<br>-167.80 |\n| Brazilianfootballers<br>InternationalTennisHallofFameinductees<br>UKMPs2005–2010<br>Englishfootballers<br>Portuguesemonarchs | -165.41<br>-163.84<br>-161.44<br>-156.94<br>-154.01 |\n| PresidentsofMexico<br>ImperialRomanconsuls<br>African-Americanrappers<br>Americancountrysingers<br>Scottishfootballers | -153.20<br>-149.97<br>-148.59<br>-148.08<br>-146.34 |\n| NationalHockeyLeagueAll-Stars<br>MotoGPriders<br>Russiancomposers<br>MembersoftheQueen’sPrivyCouncilforCanada<br>UnitedStatesSupremeCourtjustices | -142.87<br>-141.36<br>-140.85<br>-140.20<br>-137.06 |\n| Pakistanipoliticians<br>Analyticphilosophers<br>HouseofHolstein-Gottorp-Romanov<br>NationalBaseballHallofFameinductees<br>NewZealandinternationalrugbyunionplayers<br>Japanesepopsingers | -134.66<br>-132.82<br>-132.00<br>-131.86<br>-130.72<br>-130.00 |\n| Americantelevisionchefs<br>RurikDynasty<br>MembersoftheUnitedStatesHouseofRepresentativesfromCalifornia<br>Portugalinternationalfootballers<br>WillEisnerAwardHallofFameinductees | -127.00<br>-125.14<br>-124.30<br>-123.33<br>-121.78 |","| Event | TweetCount |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 109,809 |\n| 2012PremierLeagueSoccerGames | 1,064,040 |\n| 2014NHLStanleyCupPlayoﬀs | 2,421,065 |\n| 2014NBAPlayoﬀs | 500,170 |\n| 2014KentuckyDerbyHorseRace | 233,172 |\n| 2014BelmontStakesHorseRace | 226,160 |\n| 2014FIFAWorldCupStagesA+B | 5,867,783 |\n| TestingData |  |\n| 2013MLBWorldSeriesGame5 | 1,052,852 |\n| 2013MLBWorldSeriesGame6 | 1,026,848 |\n| 2013HonshuEarthquake | 444,018 |\n| 2014NFLSuperBowl | 1,024,367 |\n| 2014FIFAWorldCupThirdPlace | 809,426 |\n| 2014FIFAWorldCupFinal | 1,166,767 |\n| 2014IwakiEarthquake | 358,966 |\n| Total | 16,305,443 |",0]
["| Category | S-Level |\n| --- | --- |\n| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |","| NASCARdrivers<br>Filipinotelevisionactors<br>EnglandTestcricketers<br>MembersoftheKnesset<br>MembersoftheAustralianHouseofRepresentatives | -221.48<br>-210.48<br>-203.06<br>-198.02<br>-190.78 |\n| --- | --- |\n| Japanesevoiceactors<br>PrimeMinistersofJapan<br>Olympicmedalistsingymnastics<br>WorldSeriesofPokerbraceletwinners<br>LeadersoftheCommunistPartyofChina<br>Dutchfootballers | -185.33<br>-183.23<br>-177.27<br>-173.10<br>-170.48<br>-167.80 |\n| Brazilianfootballers<br>InternationalTennisHallofFameinductees<br>UKMPs2005–2010<br>Englishfootballers<br>Portuguesemonarchs | -165.41<br>-163.84<br>-161.44<br>-156.94<br>-154.01 |\n| PresidentsofMexico<br>ImperialRomanconsuls<br>African-Americanrappers<br>Americancountrysingers<br>Scottishfootballers | -153.20<br>-149.97<br>-148.59<br>-148.08<br>-146.34 |\n| NationalHockeyLeagueAll-Stars<br>MotoGPriders<br>Russiancomposers<br>MembersoftheQueen’sPrivyCouncilforCanada<br>UnitedStatesSupremeCourtjustices | -142.87<br>-141.36<br>-140.85<br>-140.20<br>-137.06 |\n| Pakistanipoliticians<br>Analyticphilosophers<br>HouseofHolstein-Gottorp-Romanov<br>NationalBaseballHallofFameinductees<br>NewZealandinternationalrugbyunionplayers<br>Japanesepopsingers | -134.66<br>-132.82<br>-132.00<br>-131.86<br>-130.72<br>-130.00 |\n| Americantelevisionchefs<br>RurikDynasty<br>MembersoftheUnitedStatesHouseofRepresentativesfromCalifornia<br>Portugalinternationalfootballers<br>WillEisnerAwardHallofFameinductees | -127.00<br>-125.14<br>-124.30<br>-123.33<br>-121.78 |\n| Hungarianmonarchs<br>NobellaureatesinEconomics<br>Japaneseemperors<br>BurialsatRiddarholmenChurch<br>ConfederateStatesArmygenerals | -121.41<br>-119.82<br>-118.64<br>-117.55<br>-116.08 |\n| TVBveteranactors<br>Americanprintmakers<br>Englishsnookerplayers<br>PrimeMinistersofFrance<br>MembersoftheHouseofRepresentativesoftheNetherlands | -115.87<br>-115.36<br>-114.83<br>-114.21<br>-112.84 |",1]
["| Category | S-Level |\n| --- | --- |\n| WorldAquaticsChampionshipsmedalistsinswimming<br>Australianrugbyleagueplayers<br>Teachta´ıD´ala<br>Germanfootballers<br>Americanastronauts | -280.98<br>-269.04<br>-250.48<br>-228.79<br>-224.48 |","| 2013MLBWorldSeriesGame5 | 1,052,852 |\n| --- | --- |\n| 2013MLBWorldSeriesGame6 | 1,026,848 |\n| 2013HonshuEarthquake | 444,018 |\n| 2014NFLSuperBowl | 1,024,367 |\n| 2014FIFAWorldCupThirdPlace | 809,426 |\n| 2014FIFAWorldCupFinal | 1,166,767 |\n| 2014IwakiEarthquake | 358,966 |\n| Total | 16,305,443 |",0]
["| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |\n| --- | --- | --- | --- | --- | --- |\n| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |","| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |\n| --- | --- | --- | --- | --- | --- |\n| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |\n| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |\n| unit | mV | mV/ms | ms | synapses | neurons |",1]
["| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |\n| --- | --- | --- | --- | --- | --- |\n| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |","| Architecture | Layers | Neurons | #Params |\n| --- | --- | --- | --- |\n| relu-RNN | 4 | 607 | 6.1M |\n| LSTM | 5 | 375 | 8.8M |\n| GRU | 5 | 465 | 10.3M |\n| M-GRU | 5 | 465 | 7.4M |\n| Li-GRU | 5 | 465 | 7.4M |",0]
["| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |\n| --- | --- | --- | --- | --- | --- |\n| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |\n| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |","| S2 | 100-200 | 10 | 10 | 8×8×12 | 32×32×Ny |\n| --- | --- | --- | --- | --- | --- |\n| C2 | 1 | 0 | 10 | 32×32×1 | 1×1×Ny |\n| unit | mV | mV/ms | ms | synapses | neurons |",1]
["| Layer | Vthresh | I/Clm | trefr | KernelSize | LayerSize |\n| --- | --- | --- | --- | --- | --- |\n| S1 | 200 | 50 | 5 | 7×7×1 | 128×128×12 |\n| C1 | 1 | 0 | 5 | 4×4×1 | 32×32×12 |","| LSTM | 5 | 375 | 8.8M |\n| --- | --- | --- | --- |\n| GRU | 5 | 465 | 10.3M |\n| M-GRU | 5 | 465 | 7.4M |\n| Li-GRU | 5 | 465 | 7.4M |",0]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |\n| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |\n| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |\n| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |","| 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 |\n| 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 |\n| 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 |\n| 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 |\n| 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 |\n| Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |",1]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |\n| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |\n| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |\n| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |","| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.6847 | 0.6854 | 0.7591 | 0.6807 | 0.7424 |\n| 2 | 0.682 | 0.6512 | 0.753 | 0.6334 | 0.728 |\n| 3 | 0.6356 | 0.6675 | 0.6673 | 0.7044 | 0.6997 |\n| 4 | 0.6716 | 0.6597 | 0.7197 | 0.7111 | 0.7325 |\n| 5 | 0.5658 | 0.5706 | 0.6036 | 0.5999 | 0.6083 |\n| 6 | 0.6633 | 0.6385 | 0.7586 | 0.651 | 0.738 |\n| 7 | 0.6832 | 0.6931 | 0.6844 | 0.7266 | 0.8204 |\n| 8 | 0.6534 | 0.706 | 0.5862 | 0.7242 | 0.7833 |\n| 9 | 0.6157 | 0.6563 | 0.6405 | 0.7109 | 0.6677 |\n| 10 | 0.6663 | 0.6783 | 0.6712 | 0.7133 | 0.7694 |\n| Average | 0.65216 | 0.66066 | 0.68436 | 0.68555 | 0.72897 |",0]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |\n| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |","| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |\n| 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 |\n| 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 |\n| 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 |\n| 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 |\n| 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 |\n| 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 |\n| Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |",1]
["| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |\n| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |","| 10 | 0.6663 | 0.6783 | 0.6712 | 0.7133 | 0.7694 |\n| --- | --- | --- | --- | --- | --- |\n| Average | 0.65216 | 0.66066 | 0.68436 | 0.68555 | 0.72897 |",0]
["| Accuracy | Precision | Recall |\n| --- | --- | --- |\n| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |\n| 51.15 | - | - |","| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |\n| --- | --- | --- |\n| 70.8 | 0.718 | 0.612 |",1]
["| Accuracy | Precision | Recall |\n| --- | --- | --- |\n| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |\n| 51.15 | - | - |","| WSJ10test |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |\n| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |\n| 64.5 | 82.6 | 72.4 | 53.0 | 70.5 |\n| 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |",0]
["| Accuracy | Precision | Recall |\n| --- | --- | --- |\n| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |","| 51.15 | - | - |\n| --- | --- | --- |\n| 65.2<br>62.8<br>69.2 | 0.610<br>0.652<br>0.684 | 0.563<br>0.522<br>0.623 |\n| 70.8 | 0.718 | 0.612 |",1]
["| Accuracy | Precision | Recall |\n| --- | --- | --- |\n| 61.7<br>64.1<br>64.5<br>66.1 | 0.579<br>0.609<br>0.748<br>0.698 | 0.551<br>0.537<br>0.485<br>0.540 |","| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |\n| --- | --- | --- | --- | --- |\n| 64.5 | 82.6 | 72.4 | 53.0 | 70.5 |\n| 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |",0]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |\n| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |\n| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 |\n| basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 |\n| birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 |\n| birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 |\n| blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 |\n| bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 |\n| bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 |\n| bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 |\n| book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |\n| butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |","| car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 |\n| crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 |\n| dinosaur | 0.57 | 0.62 | 0.61 | 0.62 | 0.58 | 0.36 | 0.42 |\n| fernando | 0.45 | 0.43 | 0.43 | 0.44 | 0.42 | 0.38 | 0.33 |\n| fish1 | 0.46 | 0.44 | 0.44 | 0.43 | 0.43 | 0.42 | 0.37 |\n| fish2 | 0.32 | 0.32 | 0.33 | 0.32 | 0.31 | 0.29 | 0.24 |\n| fish3 | 0.6 | 0.64 | 0.65 | 0.63 | 0.6 | 0.54 | 0.38 |\n| fish4 | 0.36 | 0.37 | 0.38 | 0.41 | 0.32 | 0.33 | 0.32 |\n| girl | 0.69 | 0.69 | 0.67 | 0.7 | 0.69 | 0.67 | 0.6 |\n| glove | 0.49 | 0.52 | 0.49 | 0.5 | 0.48 | 0.38 | 0.38 |\n| godfather | 0.46 | 0.45 | 0.45 | 0.45 | 0.44 | 0.4 | 0.4 |\n| graduate | 0.51 | 0.53 | 0.52 | 0.52 | 0.49 | 0.43 | 0.4 |\n| gymnastics1 | 0.43 | 0.51 | 0.53 | 0.42 | 0.51 | 0.42 | 0.43 |\n| gymnastics2 | 0.44 | 0.49 | 0.49 | 0.46 | 0.45 | 0.46 | 0.42 |\n| gymnastics3 | 0.25 | 0.25 | 0.26 | 0.25 | 0.26 | 0.26 | 0.23 |\n| gymnastics4 | 0.46 | 0.48 | 0.49 | 0.47 | 0.45 | 0.43 | 0.36 |\n| hand | 0.51 | 0.5 | 0.5 | 0.5 | 0.51 | 0.49 | 0.45 |\n| handball1 | 0.55 | 0.58 | 0.58 | 0.58 | 0.55 | 0.55 | 0.52 |\n| handball2 | 0.55 | 0.57 | 0.56 | 0.56 | 0.55 | 0.53 | 0.51 |\n| helicopter | 0.57 | 0.49 | 0.5 | 0.49 | 0.44 | 0.4 | 0.37 |\n| iceskater1 | 0.53 | 0.54 | 0.52 | 0.54 | 0.53 | 0.5 | 0.49 |\n| iceskater2 | 0.55 | 0.55 | 0.54 | 0.53 | 0.48 | 0.49 | 0.42 |\n| leaves | 0.29 | 0.32 | 0.32 | 0.4 | 0.31 | 0.28 | 0.28 |\n| marching | 0.72 | 0.72 | 0.7 | 0.71 | 0.59 | 0.52 | 0.43 |\n| matrix | 0.5 | 0.54 | 0.55 | 0.54 | 0.54 | 0.56 | 0.55 |\n| motocross1 | 0.47 | 0.48 | 0.48 | 0.47 | 0.47 | 0.46 | 0.39 |\n| motocross2 | 0.49 | 0.58 | 0.58 | 0.59 | 0.56 | 0.45 | 0.42 |\n| nature | 0.49 | 0.44 | 0.43 | 0.39 | 0.43 | 0.4 | 0.42 |\n| octopus | 0.57 | 0.59 | 0.58 | 0.58 | 0.59 | 0.56 | 0.47 |\n| pedestrian1 | 0.71 | 0.71 | 0.71 | 0.71 | 0.66 | 0.61 | 0.65 |\n| pedestrian2 | 0.37 | 0.44 | 0.48 | 0.51 | 0.45 | 0.5 | 0.4 |\n| rabbit | 0.3 | 0.33 | 0.3 | 0.28 | 0.33 | 0.27 | 0.25 |\n| racing | 0.48 | 0.45 | 0.45 | 0.45 | 0.43 | 0.41 | 0.34 |\n| road | 0.45 | 0.47 | 0.47 | 0.45 | 0.48 | 0.47 | 0.45 |\n| shaking | 0.6 | 0.58 | 0.54 | 0.58 | 0.59 | 0.59 | 0.57 |\n| sheep | 0.53 | 0.54 | 0.53 | 0.53 | 0.48 | 0.45 | 0.47 |\n| singer1 | 0.58 | 0.57 | 0.6 | 0.56 | 0.58 | 0.59 | 0.5 |\n| singer2 | 0.59 | 0.64 | 0.64 | 0.65 | 0.64 | 0.57 | 0.48 |\n| singer3 | 0.28 | 0.26 | 0.27 | 0.26 | 0.28 | 0.28 | 0.26 |\n| soccer1 | 0.53 | 0.57 | 0.59 | 0.58 | 0.57 | 0.54 | 0.56 |\n| soccer2 | 0.59 | 0.62 | 0.58 | 0.59 | 0.62 | 0.53 | 0.49 |\n| soldier | 0.45 | 0.52 | 0.51 | 0.52 | 0.48 | 0.46 | 0.34 |\n| sphere | 0.5 | 0.55 | 0.54 | 0.54 | 0.55 | 0.56 | 0.52 |\n| tiger | 0.68 | 0.66 | 0.67 | 0.65 | 0.62 | 0.59 | 0.57 |\n| traffic | 0.78 | 0.8 | 0.79 | 0.8 | 0.77 | 0.58 | 0.54 |\n| tunnel | 0.84 | 0.84 | 0.83 | 0.84 | 0.84 | 0.74 | 0.39 |\n| wiper | 0.71 | 0.7 | 0.7 | 0.7 | 0.68 | 0.6 | 0.44 |\n| mean | 0.52 | 0.54 | 0.53 | 0.53 | 0.52 | 0.49 | 0.44 |\n| weightedmean | 0.54 | 0.55 | 0.55 | 0.54 | 0.53 | 0.5 | 0.45 |",1]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |\n| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |\n| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 |\n| basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 |\n| birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 |\n| birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 |\n| blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 |\n| bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 |\n| bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 |\n| bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 |\n| book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |\n| butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |","|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0.07 | 0 | 0 | 0.07 | 0.13 | 0.2 |\n| ball1 | 0.4 | 0.07 | 0.13 | 0 | 0.2 | 0.33 | 1.6 |\n| ball2 | 0.67 | 2.27 | 2.33 | 2.67 | 2.67 | 3.07 | 3.33 |\n| basketball | 1.27 | 1.07 | 1.27 | 1.33 | 1.8 | 3 | 5.73 |\n| birds1 | 0.47 | 2.2 | 1.73 | 1.47 | 1.33 | 2.33 | 3.13 |\n| birds2 | 0.4 | 0.27 | 0.4 | 0.13 | 0.13 | 0.47 | 0.6 |\n| blanket | 0 | 0 | 0 | 0 | 0.13 | 0.33 | 1 |\n| bmx | 0.87 | 0.13 | 0 | 0 | 0.13 | 0.2 | 0.47 |\n| bolt1 | 0.13 | 0 | 0.07 | 0.13 | 0.67 | 1.4 | 2.27 |\n| bolt2 | 0 | 0.27 | 0.73 | 0.6 | 0.4 | 1.4 | 1.87 |\n| book | 3.4 | 3.53 | 3.27 | 3.53 | 4.73 | 4.47 | 7.4 |\n| butterfly | 0.13 | 0 | 0.13 | 0.13 | 0.6 | 0.8 | 1.6 |\n| car1 | 1.73 | 2.27 | 2.33 | 1.87 | 2.07 | 2.93 | 2.87 |\n| car2 | 0 | 0 | 0 | 0 | 0.2 | 0.53 | 1 |\n| crossing | 0 | 0.07 | 0.07 | 0.07 | 0.07 | 0.13 | 0.47 |\n| dinosaur | 0.6 | 0 | 0 | 0 | 0.47 | 3.6 | 4.67 |\n| fernando | 0.67 | 0.67 | 1.33 | 0.73 | 0.93 | 1.4 | 3.47 |\n| fish1 | 2.73 | 2.8 | 2.67 | 2.8 | 3.13 | 3.2 | 4.47 |\n| fish2 | 2.4 | 3 | 2.73 | 3 | 3.2 | 4.8 | 7.2 |\n| fish3 | 0.27 | 0.87 | 0.67 | 0.73 | 0.73 | 0.87 | 0.8 |\n| fish4 | 0.67 | 0.13 | 0.4 | 0.6 | 0.8 | 1.47 | 1.2 |\n| girl | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 1.53 |\n| glove | 2.8 | 2.47 | 2.4 | 2.73 | 3.13 | 3.87 | 4.67 |\n| godfather | 0 | 0 | 0 | 0 | 0.47 | 0.47 | 1.47 |\n| graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 |\n| gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 |\n| gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 |\n| gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 |\n| gymnastics4 | 0.13 | 0 | 0 | 0.07 | 0.13 | 0.33 | 1.33 |\n| hand | 2.53 | 0.8 | 1.53 | 0.93 | 1.2 | 4.07 | 6.6 |\n| handball1 | 0.93 | 0.6 | 0.93 | 0.73 | 1.93 | 2.13 | 3 |\n| handball2 | 1.93 | 2.27 | 2.47 | 2.67 | 2.73 | 3.67 | 7.53 |\n| helicopter | 1 | 0.27 | 0.33 | 0.4 | 0.27 | 0.2 | 0.87 |\n| iceskater1 | 0.07 | 0.27 | 0.2 | 0.07 | 0.4 | 0.2 | 1.6 |\n| iceskater2 | 0.47 | 0 | 0.07 | 0.4 | 1.2 | 2.93 | 7.8 |\n| leaves | 4.4 | 4.4 | 4.67 | 4.73 | 4.2 | 4.27 | 4.67 |\n| marching | 0 | 0.13 | 0.2 | 0.33 | 1.27 | 1.6 | 2.27 |\n| matrix | 1.8 | 1.53 | 1.4 | 1.4 | 1.87 | 1.6 | 3.53 |\n| motocross1 | 0.13 | 0 | 0 | 0 | 0 | 0.13 | 2.07 |\n| motocross2 | 0.07 | 0 | 0 | 0 | 0.07 | 0.73 | 0.93 |\n| nature | 2.47 | 2.4 | 2.2 | 1.8 | 2.73 | 3.53 | 4.8 |\n| octopus | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.27 |\n| pedestrian1 | 1.2 | 1.07 | 1 | 1.27 | 1.07 | 1.47 | 2.67 |\n| pedestrian2 | 0 | 0 | 0.13 | 0 | 0.07 | 0.13 | 0.67 |\n| rabbit | 3.2 | 4.27 | 4.67 | 5.07 | 4.53 | 5.27 | 6.53 |\n| racing | 0 | 0 | 0 | 0 | 0.13 | 0.73 | 1.07 |\n| road | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.4 |\n| shaking | 0.07 | 0.07 | 0.07 | 0.13 | 0.33 | 0.33 | 0.53 |\n| sheep | 0.07 | 0 | 0 | 0.27 | 0.53 | 0.73 | 0.87 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.8 |\n| singer2 | 0.73 | 0.33 | 0.2 | 0.2 | 0.47 | 1.07 | 3.27 |\n| singer3 | 0.4 | 0.33 | 0.53 | 0.27 | 0.33 | 0.53 | 1 |\n| soccer1 | 0.73 | 1.47 | 0.93 | 0.8 | 1.47 | 1.27 | 1.73 |\n| soccer2 | 7.4 | 10.4 | 9.8 | 10.53 | 11.87 | 12.6 | 12.8 |\n| soldier | 0.93 | 0.07 | 0.2 | 0.47 | 0.53 | 0.93 | 2 |\n| sphere | 0 | 0 | 0 | 0 | 0.07 | 0.4 | 0.87 |\n| tiger | 0.6 | 0.07 | 0 | 0 | 0.2 | 0.47 | 2.47 |\n| traffic | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 0.87 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0.8 | 1.2 |\n| wiper | 0.47 | 0.33 | 0.33 | 0.27 | 0.33 | 0.53 | 1.07 |\n| mean | 0.93 | 0.94 | 0.98 | 0.99 | 1.2 | 1.7 | 2.73 |\n| weightedmean | 0.78 | 0.74 | 0.77 | 0.74 | 0.97 | 1.51 | 2.62 |",0]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |\n| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |\n| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 |\n| basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 |\n| birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 |\n| birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 |\n| blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 |\n| bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 |\n| bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 |\n| bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 |\n| book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |","| butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 |\n| car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 |\n| crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 |\n| dinosaur | 0.57 | 0.62 | 0.61 | 0.62 | 0.58 | 0.36 | 0.42 |\n| fernando | 0.45 | 0.43 | 0.43 | 0.44 | 0.42 | 0.38 | 0.33 |\n| fish1 | 0.46 | 0.44 | 0.44 | 0.43 | 0.43 | 0.42 | 0.37 |\n| fish2 | 0.32 | 0.32 | 0.33 | 0.32 | 0.31 | 0.29 | 0.24 |\n| fish3 | 0.6 | 0.64 | 0.65 | 0.63 | 0.6 | 0.54 | 0.38 |\n| fish4 | 0.36 | 0.37 | 0.38 | 0.41 | 0.32 | 0.33 | 0.32 |\n| girl | 0.69 | 0.69 | 0.67 | 0.7 | 0.69 | 0.67 | 0.6 |\n| glove | 0.49 | 0.52 | 0.49 | 0.5 | 0.48 | 0.38 | 0.38 |\n| godfather | 0.46 | 0.45 | 0.45 | 0.45 | 0.44 | 0.4 | 0.4 |\n| graduate | 0.51 | 0.53 | 0.52 | 0.52 | 0.49 | 0.43 | 0.4 |\n| gymnastics1 | 0.43 | 0.51 | 0.53 | 0.42 | 0.51 | 0.42 | 0.43 |\n| gymnastics2 | 0.44 | 0.49 | 0.49 | 0.46 | 0.45 | 0.46 | 0.42 |\n| gymnastics3 | 0.25 | 0.25 | 0.26 | 0.25 | 0.26 | 0.26 | 0.23 |\n| gymnastics4 | 0.46 | 0.48 | 0.49 | 0.47 | 0.45 | 0.43 | 0.36 |\n| hand | 0.51 | 0.5 | 0.5 | 0.5 | 0.51 | 0.49 | 0.45 |\n| handball1 | 0.55 | 0.58 | 0.58 | 0.58 | 0.55 | 0.55 | 0.52 |\n| handball2 | 0.55 | 0.57 | 0.56 | 0.56 | 0.55 | 0.53 | 0.51 |\n| helicopter | 0.57 | 0.49 | 0.5 | 0.49 | 0.44 | 0.4 | 0.37 |\n| iceskater1 | 0.53 | 0.54 | 0.52 | 0.54 | 0.53 | 0.5 | 0.49 |\n| iceskater2 | 0.55 | 0.55 | 0.54 | 0.53 | 0.48 | 0.49 | 0.42 |\n| leaves | 0.29 | 0.32 | 0.32 | 0.4 | 0.31 | 0.28 | 0.28 |\n| marching | 0.72 | 0.72 | 0.7 | 0.71 | 0.59 | 0.52 | 0.43 |\n| matrix | 0.5 | 0.54 | 0.55 | 0.54 | 0.54 | 0.56 | 0.55 |\n| motocross1 | 0.47 | 0.48 | 0.48 | 0.47 | 0.47 | 0.46 | 0.39 |\n| motocross2 | 0.49 | 0.58 | 0.58 | 0.59 | 0.56 | 0.45 | 0.42 |\n| nature | 0.49 | 0.44 | 0.43 | 0.39 | 0.43 | 0.4 | 0.42 |\n| octopus | 0.57 | 0.59 | 0.58 | 0.58 | 0.59 | 0.56 | 0.47 |\n| pedestrian1 | 0.71 | 0.71 | 0.71 | 0.71 | 0.66 | 0.61 | 0.65 |\n| pedestrian2 | 0.37 | 0.44 | 0.48 | 0.51 | 0.45 | 0.5 | 0.4 |\n| rabbit | 0.3 | 0.33 | 0.3 | 0.28 | 0.33 | 0.27 | 0.25 |\n| racing | 0.48 | 0.45 | 0.45 | 0.45 | 0.43 | 0.41 | 0.34 |\n| road | 0.45 | 0.47 | 0.47 | 0.45 | 0.48 | 0.47 | 0.45 |\n| shaking | 0.6 | 0.58 | 0.54 | 0.58 | 0.59 | 0.59 | 0.57 |\n| sheep | 0.53 | 0.54 | 0.53 | 0.53 | 0.48 | 0.45 | 0.47 |\n| singer1 | 0.58 | 0.57 | 0.6 | 0.56 | 0.58 | 0.59 | 0.5 |\n| singer2 | 0.59 | 0.64 | 0.64 | 0.65 | 0.64 | 0.57 | 0.48 |\n| singer3 | 0.28 | 0.26 | 0.27 | 0.26 | 0.28 | 0.28 | 0.26 |\n| soccer1 | 0.53 | 0.57 | 0.59 | 0.58 | 0.57 | 0.54 | 0.56 |\n| soccer2 | 0.59 | 0.62 | 0.58 | 0.59 | 0.62 | 0.53 | 0.49 |\n| soldier | 0.45 | 0.52 | 0.51 | 0.52 | 0.48 | 0.46 | 0.34 |\n| sphere | 0.5 | 0.55 | 0.54 | 0.54 | 0.55 | 0.56 | 0.52 |\n| tiger | 0.68 | 0.66 | 0.67 | 0.65 | 0.62 | 0.59 | 0.57 |\n| traffic | 0.78 | 0.8 | 0.79 | 0.8 | 0.77 | 0.58 | 0.54 |\n| tunnel | 0.84 | 0.84 | 0.83 | 0.84 | 0.84 | 0.74 | 0.39 |\n| wiper | 0.71 | 0.7 | 0.7 | 0.7 | 0.68 | 0.6 | 0.44 |\n| mean | 0.52 | 0.54 | 0.53 | 0.53 | 0.52 | 0.49 | 0.44 |\n| weightedmean | 0.54 | 0.55 | 0.55 | 0.54 | 0.53 | 0.5 | 0.45 |",1]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |\n| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |\n| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 |\n| basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 |\n| birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 |\n| birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 |\n| blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 |\n| bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 |\n| bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 |\n| bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 |\n| book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |","| graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 |\n| gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 |\n| gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 |\n| gymnastics4 | 0.13 | 0 | 0 | 0.07 | 0.13 | 0.33 | 1.33 |\n| hand | 2.53 | 0.8 | 1.53 | 0.93 | 1.2 | 4.07 | 6.6 |\n| handball1 | 0.93 | 0.6 | 0.93 | 0.73 | 1.93 | 2.13 | 3 |\n| handball2 | 1.93 | 2.27 | 2.47 | 2.67 | 2.73 | 3.67 | 7.53 |\n| helicopter | 1 | 0.27 | 0.33 | 0.4 | 0.27 | 0.2 | 0.87 |\n| iceskater1 | 0.07 | 0.27 | 0.2 | 0.07 | 0.4 | 0.2 | 1.6 |\n| iceskater2 | 0.47 | 0 | 0.07 | 0.4 | 1.2 | 2.93 | 7.8 |\n| leaves | 4.4 | 4.4 | 4.67 | 4.73 | 4.2 | 4.27 | 4.67 |\n| marching | 0 | 0.13 | 0.2 | 0.33 | 1.27 | 1.6 | 2.27 |\n| matrix | 1.8 | 1.53 | 1.4 | 1.4 | 1.87 | 1.6 | 3.53 |\n| motocross1 | 0.13 | 0 | 0 | 0 | 0 | 0.13 | 2.07 |\n| motocross2 | 0.07 | 0 | 0 | 0 | 0.07 | 0.73 | 0.93 |\n| nature | 2.47 | 2.4 | 2.2 | 1.8 | 2.73 | 3.53 | 4.8 |\n| octopus | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.27 |\n| pedestrian1 | 1.2 | 1.07 | 1 | 1.27 | 1.07 | 1.47 | 2.67 |\n| pedestrian2 | 0 | 0 | 0.13 | 0 | 0.07 | 0.13 | 0.67 |\n| rabbit | 3.2 | 4.27 | 4.67 | 5.07 | 4.53 | 5.27 | 6.53 |\n| racing | 0 | 0 | 0 | 0 | 0.13 | 0.73 | 1.07 |\n| road | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.4 |\n| shaking | 0.07 | 0.07 | 0.07 | 0.13 | 0.33 | 0.33 | 0.53 |\n| sheep | 0.07 | 0 | 0 | 0.27 | 0.53 | 0.73 | 0.87 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.8 |\n| singer2 | 0.73 | 0.33 | 0.2 | 0.2 | 0.47 | 1.07 | 3.27 |\n| singer3 | 0.4 | 0.33 | 0.53 | 0.27 | 0.33 | 0.53 | 1 |\n| soccer1 | 0.73 | 1.47 | 0.93 | 0.8 | 1.47 | 1.27 | 1.73 |\n| soccer2 | 7.4 | 10.4 | 9.8 | 10.53 | 11.87 | 12.6 | 12.8 |\n| soldier | 0.93 | 0.07 | 0.2 | 0.47 | 0.53 | 0.93 | 2 |\n| sphere | 0 | 0 | 0 | 0 | 0.07 | 0.4 | 0.87 |\n| tiger | 0.6 | 0.07 | 0 | 0 | 0.2 | 0.47 | 2.47 |\n| traffic | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 0.87 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0.8 | 1.2 |\n| wiper | 0.47 | 0.33 | 0.33 | 0.27 | 0.33 | 0.53 | 1.07 |\n| mean | 0.93 | 0.94 | 0.98 | 0.99 | 1.2 | 1.7 | 2.73 |\n| weightedmean | 0.78 | 0.74 | 0.77 | 0.74 | 0.97 | 1.51 | 2.62 |",0]
["| Assignmentproblems |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |\n| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 |\n| Knapsackproblems |  |  |  |  |","| #items | Ozlenetal. | CPLEX | Splitting | Meeting |\n| --- | --- | --- | --- | --- |\n| 50<br>100<br>200<br>400<br>1000<br>2000 | 1.00<br>5.03<br>22.37<br>73.75<br>338.67<br>1200.50 | 1.10<br>4.83<br>20.56<br>71.69<br>347.34<br>1113.11 | 0.67<br>3.60<br>16.13<br>57.70<br>263.01<br>912.85 | 0.53<br>2.59<br>11.53<br>36.42<br>150.06<br>528.85 |",1]
["| Assignmentproblems |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |\n| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 |\n| Knapsackproblems |  |  |  |  |","|  | 3newslices | 2newslices |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #runs | 1 | 2 | 3 | 4 | 5 |\n| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |\n| master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |\n| total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 |",0]
["| Assignmentproblems |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |\n| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 |\n| Knapsackproblems |  |  |  |  |","| #items | Ozlenetal. | CPLEX | Splitting | Meeting |\n| --- | --- | --- | --- | --- |\n| 50<br>100<br>200<br>400<br>1000<br>2000 | 1.00<br>5.03<br>22.37<br>73.75<br>338.67<br>1200.50 | 1.10<br>4.83<br>20.56<br>71.69<br>347.34<br>1113.11 | 0.67<br>3.60<br>16.13<br>57.70<br>263.01<br>912.85 | 0.53<br>2.59<br>11.53<br>36.42<br>150.06<br>528.85 |",1]
["| Assignmentproblems |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #tasks | Ozlenetal. | CPLEX | Splitting | Meeting |\n| 40<br>60<br>80<br>100<br>200<br>500 | 10.95<br>34.42<br>68.39<br>118.69<br>515.57<br>3262.26 | 11.00<br>31.89<br>57.55<br>106.30<br>453.54<br>3468.03 | 9.14<br>28.74<br>55.57<br>95.66<br>402.98<br>2327.63 | 5.74<br>17.83<br>35.63<br>63.37<br>276.90<br>1738.74 |\n| Knapsackproblems |  |  |  |  |","| initial | 8.73 | 9.01 | 8.89 | 6.54 | 6.98 |\n| --- | --- | --- | --- | --- | --- |\n| master<br>mintrack<br>maxtrack | 6.06<br>5.96<br>6.06 | 6.22<br>6.16<br>6.24 | 6.18<br>6.07<br>6.23 | 6.67<br>6.60<br>6.11 | 7.10<br>7.02<br>7.15 |\n| total | 14.9 | 15.4 | 15.3 | 13.4 | 14.2 |",0]
["| Block<br>Size | Freq(GHz) | Area(GE) |\n| --- | --- | --- |\n| TG | TG |  |\n| 1 | 3.84 | 28101772 |\n| 4 | 3.42.7 | 29552471 |","| 8 | 3.62.3 | 37633575 |\n| --- | --- | --- |\n| 16 | 3.61.7 | 38415768 |",1]
["| Block<br>Size | Freq(GHz) | Area(GE) |\n| --- | --- | --- |\n| TG | TG |  |\n| 1 | 3.84 | 28101772 |\n| 4 | 3.42.7 | 29552471 |","| CountOnce | MultiCount |  |\n| --- | --- | --- |\n| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |\n| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T |\n| 60 |  |  |\n| 90 |  |  |\n| 120 |  |  |\n| 150 |  |  |\n| 180 |  |  |",0]
["| Block<br>Size | Freq(GHz) | Area(GE) |\n| --- | --- | --- |\n| TG | TG |  |","| 1 | 3.84 | 28101772 |\n| --- | --- | --- |\n| 4 | 3.42.7 | 29552471 |\n| 8 | 3.62.3 | 37633575 |\n| 16 | 3.61.7 | 38415768 |",1]
["| Block<br>Size | Freq(GHz) | Area(GE) |\n| --- | --- | --- |\n| TG | TG |  |","| 120 |\n| --- |\n| 150 |\n| 180 |",0]
["| #Sent. | es→en | en→fr | es→fr |\n| --- | --- | --- | --- |\n| 0 | 31.53 | 30.46 | 29.52 |\n| 1K | 32.64 | 30.29 | 30.23 |","| 10K | 32.92 | 30.93 | 31.51 |\n| --- | --- | --- | --- |\n| 50K | 33.29 | 31.57 | 32.40 |\n| 100K | 33.35 | 31.63 | 32.45 |",1]
["| #Sent. | es→en | en→fr | es→fr |\n| --- | --- | --- | --- |\n| 0 | 31.53 | 30.46 | 29.52 |\n| 1K | 32.64 | 30.29 | 30.23 |","| Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- |\n| 1 | 50,634 | 1 | 18 | 19 |\n| 2 | 50,491 | 18 | 144 | 162 |\n| 3 | 49,807 | 144 | 702 | 846 |\n| 4 | 47,593 | 684 | 2,376 | 3,060 |\n| 5 | 42,661 | 2,160 | 5,832 | 7,992 |\n| 6 | 35,425 | 4,752 | 10,476 | 15,228 |\n| 7 | 29,809 | 7,236 | 13,608 | 20,844 |\n| 8 | 31,861 | 7,128 | 11,664 | 18,792 |\n| 9 | 40,933 | 3,888 | 5,832 | 9,720 |\n| Total |  | 26,011 | 50,652 |  |",0]
["| #Sent. | es→en | en→fr | es→fr |\n| --- | --- | --- | --- |\n| 0 | 31.53 | 30.46 | 29.52 |\n| 1K | 32.64 | 30.29 | 30.23 |\n| 10K | 32.92 | 30.93 | 31.51 |","| 50K | 33.29 | 31.57 | 32.40 |\n| --- | --- | --- | --- |\n| 100K | 33.35 | 31.63 | 32.45 |",1]
["| #Sent. | es→en | en→fr | es→fr |\n| --- | --- | --- | --- |\n| 0 | 31.53 | 30.46 | 29.52 |\n| 1K | 32.64 | 30.29 | 30.23 |\n| 10K | 32.92 | 30.93 | 31.51 |","| 3 | 49,807 | 144 | 702 | 846 |\n| --- | --- | --- | --- | --- |\n| 4 | 47,593 | 684 | 2,376 | 3,060 |\n| 5 | 42,661 | 2,160 | 5,832 | 7,992 |\n| 6 | 35,425 | 4,752 | 10,476 | 15,228 |\n| 7 | 29,809 | 7,236 | 13,608 | 20,844 |\n| 8 | 31,861 | 7,128 | 11,664 | 18,792 |\n| 9 | 40,933 | 3,888 | 5,832 | 9,720 |\n| Total |  | 26,011 | 50,652 |  |",0]
["| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD |  |  |\n| --- | --- | --- | --- | --- | --- |\n| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |\n| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |\n| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 |\n| Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 |\n| Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 |\n| MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 |\n| Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 |\n| uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |","| NLPKKT240 | 27,993,600 | 373,239,376 | 27 | 26.666 | 0.083 |\n| --- | --- | --- | --- | --- | --- |\n| MG2 | 11,005,829 | 674,142,381 | 5,466 | 122.506 | 2.370 |\n| friendster | 51,952,104 | 1,801,014,245 | 8,603,554 | 69.333 | 17.354 |",1]
["| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD |  |  |\n| --- | --- | --- | --- | --- | --- |\n| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |\n| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |\n| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 |\n| Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 |\n| Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 |\n| MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 |\n| Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 |\n| uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |","| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD |  |  |\n| --- | --- | --- | --- | --- | --- |\n| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |\n| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |\n| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 |\n| Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 |\n| Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 |\n| MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 |\n| Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 |\n| uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |","| NLPKKT240 | 27,993,600 | 373,239,376 | 27 | 26.666 | 0.083 |\n| --- | --- | --- | --- | --- | --- |\n| MG2 | 11,005,829 | 674,142,381 | 5,466 | 122.506 | 2.370 |\n| friendster | 51,952,104 | 1,801,014,245 | 8,603,554 | 69.333 | 17.354 |",1]
["| Input<br>graph | Num.<br>vertices(n) | Num.<br>edges(M) | Degreestatistics(λ)<br>max.avg.RSD |  |  |\n| --- | --- | --- | --- | --- | --- |\n| CNR | 325,557 | 2,738,970 | 18,236 | 16.826 | 13.024 |\n| coPapersDBLP | 540,486 | 15,245,729 | 3,299 | 56.414 | 1.174 |\n| Channel | 4,802,000 | 42,681,372 | 18 | 17.776 | 0.061 |\n| Europe-osm | 50,912,018 | 54,054,660 | 13 | 2.123 | 0.225 |\n| Soc-LiveJournal1 | 4,847,571 | 68,475,391 | 22,887 | 28.251 | 2.553 |\n| MG1 | 1,280,000 | 102,268,735 | 148,155 | 159.794 | 2.311 |\n| Rggn224s0 | 16,777,216 | 132,557,200 | 40 | 15.802 | 0.251 |\n| uk-2002 | 18,520,486 | 261,787,258 | 194,955 | 28.270 | 5.124 |","| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| --- | --- | --- | --- |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |\n| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 |","| Ours(unshared) | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 83.07 | 69.32 | 63.46 | 71.43 | 58.67 | 53.58 |\n| RPN+Ourdet.net(shared) | 82.73 | 68.28 | 62.30 | 70.31 | 56.94 | 51.87 |\n| Ours(unshared) | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 69.23 | 54.83 | 51.41 | 61.25 | 46.44 | 43.07 |\n| RPN+Ourdet.net(shared) | 71.24 | 56.69 | 52.91 | 63.21 | 48.68 | 45.16 |\n| Ours(unshared) | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",1]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |\n| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 |","|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+ | 82.91 | 77.83 | 66.25 | N/A | N/A | N/A |\n| OurRPN+ | 95.14 | 85.20 | 72.12 | N/A | N/A | N/A |\n| Oursw/oPose | 94.66 | 84.94 | 72.43 | N/A | N/A | N/A |\n| Oursw/oExtra | 95.51 | 86.29 | 73.68 | 94.26 | 84.69 | 71.80 |\n| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |\n| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |\n| Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A |\n| Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 |\n| OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |\n| RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A |\n| OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A |\n| Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A |\n| Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 |\n| OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",0]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |\n| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 |\n| Ours(unshared) | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 83.07 | 69.32 | 63.46 | 71.43 | 58.67 | 53.58 |\n| RPN+Ourdet.net(shared) | 82.73 | 68.28 | 62.30 | 70.31 | 56.94 | 51.87 |\n| Ours(unshared) | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |","| RPN+Ourdet.net(unshared) | 69.23 | 54.83 | 51.41 | 61.25 | 46.44 | 43.07 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RPN+Ourdet.net(shared) | 71.24 | 56.69 | 52.91 | 63.21 | 48.68 | 45.16 |\n| Ours(unshared) | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",1]
["|  | ObjectDetection(AP) | Orientation(AOS) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | Easy | Moderate | Hard | Easy | Moderate | Hard |\n| Car |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 89.29 | 82.58 | 70.12 | 87.70 | 80.47 | 67.83 |\n| RPN+Ourdet.net(shared) | 87.67 | 82.21 | 70.10 | 86.58 | 80.27 | 67.90 |\n| Ours(unshared) | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+Ourdet.net(unshared) | 83.07 | 69.32 | 63.46 | 71.43 | 58.67 | 53.58 |\n| RPN+Ourdet.net(shared) | 82.73 | 68.28 | 62.30 | 70.31 | 56.94 | 51.87 |\n| Ours(unshared) | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |","| OursFull | 95.77 | 86.64 | 74.07 | 94.55 | 85.03 | 72.21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pedestrian |  |  |  |  |  |  |\n| RPN+ | 83.31 | 68.39 | 62.56 | N/A | N/A | N/A |\n| OurRPN+ | 85.96 | 68.55 | 62.55 | N/A | N/A | N/A |\n| Oursw/oPose | 83.22 | 67.61 | 62.03 | N/A | N/A | N/A |\n| Oursw/oExtra | 84.86 | 68.87 | 63.09 | 74.05 | 59.06 | 54.05 |\n| OursFull | 86.43 | 69.95 | 64.03 | 73.91 | 58.91 | 53.79 |\n| Cyclist |  |  |  |  |  |  |\n| RPN+ | 56.36 | 46.36 | 42.77 | N/A | N/A | N/A |\n| OurRPN+ | 71.00 | 55.88 | 51.72 | N/A | N/A | N/A |\n| Oursw/oPose | 71.12 | 57.52 | 53.77 | N/A | N/A | N/A |\n| Oursw/oExtra | 71.23 | 55.56 | 51.61 | 61.89 | 47.30 | 43.69 |\n| OursFull | 74.92 | 59.13 | 55.03 | 65.79 | 50.46 | 46.57 |",0]
["| Environment | RunTime(s) |\n| --- | --- |\n| IB(w/oDMTCP) | 26.61 |\n| DMTCP/IB(w/oIB2TCP) | 27.81 |\n| DMTCP/IB2TCP/IB | 27.38 |","| DMTCP/IB2TCP/Ethernet<br>(restartontwonodes) | 45.75 |\n| --- | --- |\n| DMTCP/IB2TCP/Ethernet<br>(restartonasinglenode) | 66.34 |",1]
["| Environment | RunTime(s) |\n| --- | --- |\n| IB(w/oDMTCP) | 26.61 |\n| DMTCP/IB(w/oIB2TCP) | 27.81 |\n| DMTCP/IB2TCP/IB | 27.38 |","| Machine | Compiler | MPI |\n| --- | --- | --- |\n| BlueGene/P<br>BlueGene/Q | IBMXL | IBM(MPICH2-based) |\n| Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 |\n| Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 |\n| XeonHost<br>XeonPhi | Intel15.0.2<br>Intel15.0.2 | Intel5.1.1<br>Intel5.1.1 |\n| SGIICEXA | Intel15.0.5 | SGIMPT2.14 |",0]
["| Environment | RunTime(s) |\n| --- | --- |\n| IB(w/oDMTCP) | 26.61 |\n| DMTCP/IB(w/oIB2TCP) | 27.81 |","| DMTCP/IB2TCP/IB | 27.38 |\n| --- | --- |\n| DMTCP/IB2TCP/Ethernet<br>(restartontwonodes) | 45.75 |\n| DMTCP/IB2TCP/Ethernet<br>(restartonasinglenode) | 66.34 |",1]
["| Environment | RunTime(s) |\n| --- | --- |\n| IB(w/oDMTCP) | 26.61 |\n| DMTCP/IB(w/oIB2TCP) | 27.81 |","| Ethernetcluster<br>MacPro | GCC4.1.2<br>LLVM-GCC4.2.1 | OpenMPI1.3.3<br>MPICH21.5 |\n| --- | --- | --- |\n| Westmere<br>SandyBridge<br>BlueIce2 | GCC4.1.2<br>Intel13.0<br>GCC4.4.6 | OpenMPI1.5.4<br>Intel4.1<br>OpenMPI1.6.4 |\n| XeonHost<br>XeonPhi | Intel15.0.2<br>Intel15.0.2 | Intel5.1.1<br>Intel5.1.1 |\n| SGIICEXA | Intel15.0.5 | SGIMPT2.14 |",0]
["| No | Fieldname | Fielddescription |\n| --- | --- | --- |\n| 1. | specObjID | UniqueID |\n| 2. | z | FinalRedShift |\n| 3. | ra | Rightascention |\n| 4. | dec | Declination |","| 5. | cx | xofNormalunitvector |\n| --- | --- | --- |\n| 6. | cy | yofNormalunitvector |\n| 7. | cz | zofNormalunitvector |\n| 8. | primTarget | primetargetcategories |\n| 9. | objType | objecttype:Galaxy=0 |\n| 10. | modelMagu | Ultravioletmagniutde |\n| 11. | modelMagr | RedLightmagnitude |",1]
["| No | Fieldname | Fielddescription |\n| --- | --- | --- |\n| 1. | specObjID | UniqueID |\n| 2. | z | FinalRedShift |\n| 3. | ra | Rightascention |\n| 4. | dec | Declination |","| CameraModel | Training | Validation | Test |\n| --- | --- | --- | --- |\n| AS-One | 90000 | 25500 | 12500 |\n| ES-D5100 | 37500 | 10500 | 5000 |\n| MK-Powershot | 35000 | 10000 | 5000 |\n| MK-s860 | 35500 | 10000 | 5000 |\n| PAR-1233 | 71000 | 20000 | 10000 |\n| PAR-1476 | 107000 | 30500 | 15000 |\n| PAR-1477 | 70000 | 20000 | 9500 |\n| PAR-A015 | 40500 | 11500 | 5500 |\n| PAR-A075 | 26000 | 7000 | 3500 |\n| PAR-A106 | 54000 | 15500 | 7500 |",0]
["| No | Fieldname | Fielddescription |\n| --- | --- | --- |\n| 1. | specObjID | UniqueID |","| 2. | z | FinalRedShift |\n| --- | --- | --- |\n| 3. | ra | Rightascention |\n| 4. | dec | Declination |\n| 5. | cx | xofNormalunitvector |\n| 6. | cy | yofNormalunitvector |\n| 7. | cz | zofNormalunitvector |\n| 8. | primTarget | primetargetcategories |\n| 9. | objType | objecttype:Galaxy=0 |\n| 10. | modelMagu | Ultravioletmagniutde |\n| 11. | modelMagr | RedLightmagnitude |",1]
["| No | Fieldname | Fielddescription |\n| --- | --- | --- |\n| 1. | specObjID | UniqueID |","| MK-s860 | 35500 | 10000 | 5000 |\n| --- | --- | --- | --- |\n| PAR-1233 | 71000 | 20000 | 10000 |\n| PAR-1476 | 107000 | 30500 | 15000 |\n| PAR-1477 | 70000 | 20000 | 9500 |\n| PAR-A015 | 40500 | 11500 | 5500 |\n| PAR-A075 | 26000 | 7000 | 3500 |\n| PAR-A106 | 54000 | 15500 | 7500 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |","| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| --- |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |","| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |","| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| --- |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |","| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| --- |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |","| A | 0.97 | 0.38 | 0.08 |\n| --- | --- | --- | --- |\n| B | 0.38 | 0.73 | 0.66 |\n| C | 0.08 | 0.66 | 0.89 |",1]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |","| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |\n| A | 0.68 | 0.27 | 0.06 |\n| B | 0.22 | 0.41 | 0.37 |\n| C | 0.05 | 0.40 | 0.55 |",0]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |","| A | 0.97 | 0.38 | 0.08 |\n| --- | --- | --- | --- |\n| B | 0.38 | 0.73 | 0.66 |\n| C | 0.08 | 0.66 | 0.89 |",1]
["| 4features |  |  |  |\n| --- | --- | --- | --- |\n| Class | A | B | C |","| A | 0.68 | 0.27 | 0.06 |\n| --- | --- | --- | --- |\n| B | 0.22 | 0.41 | 0.37 |\n| C | 0.05 | 0.40 | 0.55 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |\n| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 |","| 6 | HAL<br>L<br>NHAL<br>SF | 25.3206<br>7.1179<br>14.2358<br>4.505 | 54.9243<br>28.4091<br>28.1663<br>9.86663 | 86.7225<br>41.7146<br>63.3741<br>23.0451 |\n| --- | --- | --- | --- | --- |\n| 8 | HAL<br>L<br>NHAL<br>SF | 31.1354<br>7.12946<br>16.9606<br>4.49445 | 67.1919<br>28.6296<br>33.5959<br>9.88709 | 94.0686<br>41.676<br>80.3025<br>22.7062 |\n| 10 | HAL<br>L<br>NHAL<br>SF | 35.7717<br>7.09913<br>19.1634<br>4.49017 | 72.4895<br>28.3655<br>38.3768<br>9.85507 | 112.484<br>41.2915<br>98.8494<br>22.8114 |\n| 14 | HAL<br>L<br>NHAL<br>SF | 42.9195<br>7.1132<br>23.5262<br>4.48911 | 78.1701<br>28.5491<br>47.5818<br>9.80043 | 149.234<br>41.0393<br>136.798<br>22.7996 |\n| 18 | HAL<br>L<br>NHAL<br>SF | 47.51862<br>7.144521<br>26.4274<br>4.48312 | 96.9324<br>28.1684<br>56.8225<br>9.80864 | 173.458<br>41.1963<br>164.785<br>22.8868 |",1]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |\n| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 |","| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.135<br>16.3971<br>8.31851<br>42.6324 | 55.6074<br>138.267<br>53.8514<br>146.168<br>131.177<br>113.686<br>18.9477<br>16.94<br>63.1591 |\n| 50 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 19.5708<br>33.6343<br>13.6876<br>49.5795<br>43.4625<br>42.632<br>4.3519<br>3.28906<br>24.0764 | 44.693<br>78.046<br>33.736<br>106.716<br>106.716<br>96.8349<br>16.6003<br>8.31333<br>54.4696 | 70.6633<br>193.67<br>60.8033<br>275.215<br>290.505<br>249.004<br>19.439<br>16.7599<br>87.1514 |\n| 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 |\n| 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 |\n| 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |",0]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |\n| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 |\n| 6 | HAL<br>L<br>NHAL<br>SF | 25.3206<br>7.1179<br>14.2358<br>4.505 | 54.9243<br>28.4091<br>28.1663<br>9.86663 | 86.7225<br>41.7146<br>63.3741<br>23.0451 |\n| 8 | HAL<br>L<br>NHAL<br>SF | 31.1354<br>7.12946<br>16.9606<br>4.49445 | 67.1919<br>28.6296<br>33.5959<br>9.88709 | 94.0686<br>41.676<br>80.3025<br>22.7062 |\n| 10 | HAL<br>L<br>NHAL<br>SF | 35.7717<br>7.09913<br>19.1634<br>4.49017 | 72.4895<br>28.3655<br>38.3768<br>9.85507 | 112.484<br>41.2915<br>98.8494<br>22.8114 |","| 14 | HAL<br>L<br>NHAL<br>SF | 42.9195<br>7.1132<br>23.5262<br>4.48911 | 78.1701<br>28.5491<br>47.5818<br>9.80043 | 149.234<br>41.0393<br>136.798<br>22.7996 |\n| --- | --- | --- | --- | --- |\n| 18 | HAL<br>L<br>NHAL<br>SF | 47.51862<br>7.144521<br>26.4274<br>4.48312 | 96.9324<br>28.1684<br>56.8225<br>9.80864 | 173.458<br>41.1963<br>164.785<br>22.8868 |",1]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | HAL<br>L<br>NHAL<br>SF | 10.4369<br>7.11972<br>6.63479<br>4.48334 | 27.3645<br>28.5543<br>12.3915<br>9.83157 | 39.5632<br>41.5664<br>26.4818<br>23.125 |\n| 4 | HAL<br>L<br>NHAL<br>SF | 18.7455<br>7.125<br>10.9539<br>4.48611 | 44.375<br>28.3082<br>21.0497<br>9.86112 | 64.3873<br>41.5665<br>47.5906<br>22.8038 |\n| 6 | HAL<br>L<br>NHAL<br>SF | 25.3206<br>7.1179<br>14.2358<br>4.505 | 54.9243<br>28.4091<br>28.1663<br>9.86663 | 86.7225<br>41.7146<br>63.3741<br>23.0451 |\n| 8 | HAL<br>L<br>NHAL<br>SF | 31.1354<br>7.12946<br>16.9606<br>4.49445 | 67.1919<br>28.6296<br>33.5959<br>9.88709 | 94.0686<br>41.676<br>80.3025<br>22.7062 |\n| 10 | HAL<br>L<br>NHAL<br>SF | 35.7717<br>7.09913<br>19.1634<br>4.49017 | 72.4895<br>28.3655<br>38.3768<br>9.85507 | 112.484<br>41.2915<br>98.8494<br>22.8114 |","| 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 |\n| --- | --- | --- | --- | --- |\n| 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 |\n| 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |",0]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 5040 |\n| 10 | 957600 |\n| 11 | 123354000 |\n| 12 | 16842764400 |\n| 13 | 2764379217600 |\n| 14 | 527554510282800 |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |","| 18 | 2167306256125914230527200 |\n| --- | --- |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",1]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 5040 |\n| 10 | 957600 |\n| 11 | 123354000 |\n| 12 | 16842764400 |\n| 13 | 2764379217600 |\n| 14 | 527554510282800 |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |","| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 191520 |\n| 10 | 42058800 |\n| 11 | 7864256400 |\n| 12 | 1407126890400 |\n| 13 | 257752421166240 |\n| 14 | 50607986220311520 |\n| 15 | 10995419195575214400 |\n| 16 | 2692773804667509763200 |\n| 17 | 747221542837742897724800 |\n| 18 | 233698171655650029030743040 |\n| 19 | 81472765051132560093387934080 |\n| 20 | 31268587126068905034073041062400 |",0]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 5040 |\n| 10 | 957600 |\n| 11 | 123354000 |\n| 12 | 16842764400 |\n| 13 | 2764379217600 |\n| 14 | 527554510282800 |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |","| 18 | 2167306256125914230527200 |\n| --- | --- |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",1]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 5040 |\n| 10 | 957600 |\n| 11 | 123354000 |\n| 12 | 16842764400 |\n| 13 | 2764379217600 |\n| 14 | 527554510282800 |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |","| 19 | 81472765051132560093387934080 |\n| --- | --- |\n| 20 | 31268587126068905034073041062400 |",0]
["| Accuracy |  |\n| --- | --- |\n| Pred.Events | GTEvents |","| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |\n| --- | --- | --- |\n| Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- |\n| Ours | 0.765 | 0.793 |",1]
["| Accuracy |  |\n| --- | --- |\n| Pred.Events | GTEvents |","| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| Accuracy |  |  |\n| --- | --- | --- |\n| Pred.Events | GTEvents |  |\n| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |","| Ours:noGMs<br>(3)<br>Ours:nop<br>(2)<br>Ours:nop<br>(1)<br>Ours:nop<br>Ours:singleGM-top2<br>Ours:allweightswsetto1<br>Ours:singleGM-top1<br>(4)<br>Ours:nop | 0.477<br>0.496<br>0.515<br>0.536<br>0.537<br>0.583<br>0.609<br>0.649 | -<br>-<br>-<br>-<br>-<br>-<br>-<br>- |\n| --- | --- | --- |\n| Ours | 0.765 | 0.793 |",1]
["| Accuracy |  |  |\n| --- | --- | --- |\n| Pred.Events | GTEvents |  |\n| LRCN2-ptmadeshotdetector<br>LRCN3-ptmadeshotdetector | fail<br>fail | -<br>- |","| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| Datasets | Samples | Classes | Subjects | Views | Sensor |\n| --- | --- | --- | --- | --- | --- |\n| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |\n| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |\n| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |\n| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |","| Act4 | 6844 | 14 | 24 | 4 | Kinectv1 |\n| --- | --- | --- | --- | --- | --- |\n| CAD-120 | 120 | 10+10 | 4 | - | Kinectv1 |\n| 3DActionPairs | 360 | 12 | 10 | 1 | Kinectv1 |\n| Multiview3DEvent | 3815 | 8 | 8 | 3 | Kinectv1 |\n| OnlineRGB+DAction | 336 | 7 | 24 | 1 | Kinectv1 |\n| Northwestern-UCLA | 1475 | 10 | 10 | 3 | Kinectv1 |\n| UWA3DMultiview | ∼900 | 30 | 10 | 1 | Kinectv1 |\n| OﬃceActivity | 1180 | 20 | 10 | 3 | Kinectv1 |\n| UTD-MHAD | 861 | 27 | 8 | 1 | Kinectv1+WIS |\n| UWA3DMultiviewII | 1075 | 30 | 10 | 5 | Kinectv1 |\n| NTURGB+D | 56880 | 60 | 40 | 80 | Kinectv2 |",1]
["| Datasets | Samples | Classes | Subjects | Views | Sensor |\n| --- | --- | --- | --- | --- | --- |\n| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |\n| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |\n| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |\n| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |","| Method | Scene1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 |\n| P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 |\n| P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene2 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 |\n| P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 |\n| P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene3 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 |\n| P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 |\n| P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene4 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 |\n| P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 |\n| P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene5 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |\n| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 |\n| P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |",0]
["| Datasets | Samples | Classes | Subjects | Views | Sensor |\n| --- | --- | --- | --- | --- | --- |\n| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |\n| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |\n| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |\n| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |\n| Act4 | 6844 | 14 | 24 | 4 | Kinectv1 |\n| CAD-120 | 120 | 10+10 | 4 | - | Kinectv1 |\n| 3DActionPairs | 360 | 12 | 10 | 1 | Kinectv1 |\n| Multiview3DEvent | 3815 | 8 | 8 | 3 | Kinectv1 |","| OnlineRGB+DAction | 336 | 7 | 24 | 1 | Kinectv1 |\n| --- | --- | --- | --- | --- | --- |\n| Northwestern-UCLA | 1475 | 10 | 10 | 3 | Kinectv1 |\n| UWA3DMultiview | ∼900 | 30 | 10 | 1 | Kinectv1 |\n| OﬃceActivity | 1180 | 20 | 10 | 3 | Kinectv1 |\n| UTD-MHAD | 861 | 27 | 8 | 1 | Kinectv1+WIS |\n| UWA3DMultiviewII | 1075 | 30 | 10 | 5 | Kinectv1 |\n| NTURGB+D | 56880 | 60 | 40 | 80 | Kinectv2 |",1]
["| Datasets | Samples | Classes | Subjects | Views | Sensor |\n| --- | --- | --- | --- | --- | --- |\n| MSR-Action3D | 567 | 20 | 10 | 1 | N/A |\n| CAD-60 | 60 | 12 | 4 | - | Kinectv1 |\n| RGBD-HuDaAct | 1189 | 13 | 30 | 1 | Kinectv1 |\n| MSRDailyActivity3D | 320 | 16 | 10 | 1 | Kinectv1 |\n| Act4 | 6844 | 14 | 24 | 4 | Kinectv1 |\n| CAD-120 | 120 | 10+10 | 4 | - | Kinectv1 |\n| 3DActionPairs | 360 | 12 | 10 | 1 | Kinectv1 |\n| Multiview3DEvent | 3815 | 8 | 8 | 3 | Kinectv1 |","| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |",0]
["| Features | ALL | PER | ORG | GPE | TITL | FAC |\n| --- | --- | --- | --- | --- | --- | --- |\n| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |\n| Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 |","| Text | 87.2 | 97.5 | 87.3 | 95.1 | 88.5 | 40.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| All | 90.1 | 96.1 | 92.5 | 95.1 | 96.9 | 75.0 |",1]
["| Features | ALL | PER | ORG | GPE | TITL | FAC |\n| --- | --- | --- | --- | --- | --- | --- |\n| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |\n| Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 |","| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |\n| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["| Features | ALL | PER | ORG | GPE | TITL | FAC |\n| --- | --- | --- | --- | --- | --- | --- |\n| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |","| Infobox | 77.3 | 92.6 | 87.8 | 92.0 | 95.4 | 50.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Text | 87.2 | 97.5 | 87.3 | 95.1 | 88.5 | 40.0 |\n| All | 90.1 | 96.1 | 92.5 | 95.1 | 96.9 | 75.0 |",1]
["| Features | ALL | PER | ORG | GPE | TITL | FAC |\n| --- | --- | --- | --- | --- | --- | --- |\n| Title | 62.4 | 73.4 | 67.2 | 59.0 | 57.1 | 47.1 |","| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| --- | --- | --- | --- | --- |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["| Erabiltzailea | Txiokopurua |\n| --- | --- |\n| @idorrokia | 1085 |\n| @EuskalakariAEK | 910 |\n| @korrikaaek | 614 |\n| @HamaikaTb | 444 |\n| @EAPortugalete | 239 |\n| @naizinfo | 233 |\n| @gaztea | 227 |","| @berria | 216 |\n| --- | --- |\n| @euskalirratiak | 208 |\n| @anabarri72 | 204 |",1]
["| Erabiltzailea | Txiokopurua |\n| --- | --- |\n| @idorrokia | 1085 |\n| @EuskalakariAEK | 910 |\n| @korrikaaek | 614 |\n| @HamaikaTb | 444 |\n| @EAPortugalete | 239 |\n| @naizinfo | 233 |\n| @gaztea | 227 |","| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7385 | baiden-amissah | tuzzolino |\n| 0.7429 | castrechini | prawirohardjo |\n| 0.7500 | eykhof | sliz |\n| 0.7429 | keays | goeby |\n| 0.7586 | lera | pagni |\n| 0.7391 | tempalar | sedcole |",0]
["| Erabiltzailea | Txiokopurua |\n| --- | --- |\n| @idorrokia | 1085 |\n| @EuskalakariAEK | 910 |\n| @korrikaaek | 614 |","| @HamaikaTb | 444 |\n| --- | --- |\n| @EAPortugalete | 239 |\n| @naizinfo | 233 |\n| @gaztea | 227 |\n| @berria | 216 |\n| @euskalirratiak | 208 |\n| @anabarri72 | 204 |",1]
["| Erabiltzailea | Txiokopurua |\n| --- | --- |\n| @idorrokia | 1085 |\n| @EuskalakariAEK | 910 |\n| @korrikaaek | 614 |","| 0.7500 | eykhof | sliz |\n| --- | --- | --- |\n| 0.7429 | keays | goeby |\n| 0.7586 | lera | pagni |\n| 0.7391 | tempalar | sedcole |",0]
["| Type |\n| --- |\n| 1×1conv |\n| 3×3conv<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 1×1conv |","| globalaverage-pooling |\n| --- |\n| softmax10 |",1]
["| Type |\n| --- |\n| 1×1conv |\n| 3×3conv<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 1×1conv |","| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| Type |\n| --- |\n| 1×1conv |\n| 3×3conv<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 1×1conv |","| globalaverage-pooling |\n| --- |\n| softmax10 |",1]
["| Type |\n| --- |\n| 1×1conv |\n| 3×3conv<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 3×3conv,stride2<br>3×3conv |\n| 1×1conv |","| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| --- | --- | --- | --- |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["|  | Embeddedpaths<br>(mlandmarkpoints) | Node-path |\n| --- | --- | --- |\n| All-paths | O(\\|V\\|mn) | O(\\|V\\|hmax\\|V\\|(n+h)l |\n| Root-paths | O(\\|V\\|mn) | O(hmax\\|V\\|)(n+h)l |","| Attributedall-paths | N/A | O(h\\|V\\|max\\|V\\|)(n+d+h)l |\n| --- | --- | --- |\n| Attributedroot-paths | N/A | O(hmax\\|V\\|)(n+d+h)l |\n| Attributedlinearroot-paths | N/A | O(\\|V\\|hnd) |\n| Pointcloudkernel | N/A | O(\\|V\\|nd) |",1]
["|  | Embeddedpaths<br>(mlandmarkpoints) | Node-path |\n| --- | --- | --- |\n| All-paths | O(\\|V\\|mn) | O(\\|V\\|hmax\\|V\\|(n+h)l |\n| Root-paths | O(\\|V\\|mn) | O(hmax\\|V\\|)(n+h)l |","| Variable | Description |\n| --- | --- |\n| V | setofnodesinagraph |\n| E | setofedgesinagraph |\n| B(e) | edgecapacityforedgee |\n| C(v) | nodecapacityfornodev |\n| D | thesetofﬂowdemands |\n| δ(v) | theedgesleavingvertexv |\n| δ(v) | theedgesenteringvertexv |\n| P | thesetofwalksfromsourcestodestinations |\n| p<br>i,π | walk-based;theamountofﬂowifromstotii<br>exactlyusingwalkπandprocessedatv |\n| f(e)i | edge-based;theamountofﬂowithat<br>traverseseonitswayfromstotii |\n| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",0]
["|  | Embeddedpaths<br>(mlandmarkpoints) | Node-path |\n| --- | --- | --- |\n| All-paths | O(\\|V\\|mn) | O(\\|V\\|hmax\\|V\\|(n+h)l |\n| Root-paths | O(\\|V\\|mn) | O(hmax\\|V\\|)(n+h)l |\n| Attributedall-paths | N/A | O(h\\|V\\|max\\|V\\|)(n+d+h)l |","| Attributedroot-paths | N/A | O(hmax\\|V\\|)(n+d+h)l |\n| --- | --- | --- |\n| Attributedlinearroot-paths | N/A | O(\\|V\\|hnd) |\n| Pointcloudkernel | N/A | O(\\|V\\|nd) |",1]
["|  | Embeddedpaths<br>(mlandmarkpoints) | Node-path |\n| --- | --- | --- |\n| All-paths | O(\\|V\\|mn) | O(\\|V\\|hmax\\|V\\|(n+h)l |\n| Root-paths | O(\\|V\\|mn) | O(hmax\\|V\\|)(n+h)l |\n| Attributedall-paths | N/A | O(h\\|V\\|max\\|V\\|)(n+d+h)l |","| p<br>i,π | walk-based;theamountofﬂowifromstotii<br>exactlyusingwalkπandprocessedatv |\n| --- | --- |\n| f(e)i | edge-based;theamountofﬂowithat<br>traverseseonitswayfromstotii |\n| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",0]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |","| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |\n| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |\n| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |\n| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |\n| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |\n| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |\n| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |",1]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |","| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |\n| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |\n| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 |\n| 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 |\n| 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 |\n| 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 |\n| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 |\n| 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 |\n| 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 |",0]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |\n| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |\n| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |","| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |\n| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |\n| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |\n| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |\n| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |",1]
["| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |\n| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |\n| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |","| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 |\n| 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 |",0]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 5.6e-09* | - | - | - |","| TermRetrieval | 1.2e-08* | 0.88 | - | - |\n| --- | --- | --- | --- | --- |\n| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |\n| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 |",1]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 5.6e-09* | - | - | - |","|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 1e-56* | - | - | - |\n| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |\n| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |\n| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |",0]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |","| neural-storyteller | 5.6e-09* | - | - | - |\n| --- | --- | --- | --- | --- |\n| TermRetrieval | 1.2e-08* | 0.88 | - | - |\n| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |\n| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 |",1]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |","| neural-storyteller | 1e-56* | - | - | - |\n| --- | --- | --- | --- | --- |\n| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |\n| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |\n| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |",0]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 |","| 0.37 | 17/32<br>0.52 | 67/105<br>0.63 | 75/114<br>0.65 |\n| --- | --- | --- | --- |\n| 0.41 | 13/15<br>0.86 | 62/79<br>0.78 | 68/86<br>0.79 |\n| 0.45 | 10/12<br>0.83 | 59/67<br>0.88 | 64/73<br>0.87 |",1]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 |","| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 101/190<br>0.53 | 60/147<br>0.40 | 131/273<br>0.48 |\n| 0.5 | 66/118<br>0.56 | 46/92<br>0.5 | 92/174<br>0.53 |\n| 0.65 | 61/107<br>0.57 | 46/83<br>0.55 | 87/157<br>0.55 |\n| 0.85 | 47/78<br>0.6 | 46/74<br>0.62 | 73/119<br>0.61 |",0]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 |","| 0.37 | 17/32<br>0.52 | 67/105<br>0.63 | 75/114<br>0.65 |\n| --- | --- | --- | --- |\n| 0.41 | 13/15<br>0.86 | 62/79<br>0.78 | 68/86<br>0.79 |\n| 0.45 | 10/12<br>0.83 | 59/67<br>0.88 | 64/73<br>0.87 |",1]
["| Threshold<br>domain | Training<br>Conﬁrmed/Detected | Testing<br>Conﬁrmed/Detected | Overall<br>Conﬁrmed/Detected |\n| --- | --- | --- | --- |\n| 0.33 | 19/36<br>0.52 | 69/126<br>0.54 | 78/138<br>0.56 |","| 0.65 | 61/107<br>0.57 | 46/83<br>0.55 | 87/157<br>0.55 |\n| --- | --- | --- | --- |\n| 0.85 | 47/78<br>0.6 | 46/74<br>0.62 | 73/119<br>0.61 |",0]
["| ReorderBuﬀer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |\n| --- | --- |\n| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |\n| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) |\n| L3Cache | Shared,16-way,64Bcacheline,<br>1MB/core,45CPUcycleshit(40+5) |\n| Memory<br>Controller | 2buﬀerschedulers/MC,<br>Read/WriteQueue:64/64 |\n| LinkBus | 2.7GHz,point-to-point,<br>read/writebuswidth:16/16 |\n| Buﬀer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |\n| DRAMParameters |  |","| Memory | 264-bitChannels,2Ranks/Channel,<br>8devices/Rank,8sub-ranks/rank,<br>x8-widthsub-rank,1device/sub-rank |\n| --- | --- |\n| DRAMDevice | DDR3-1333MHz,x8,8banks,<br>32768Rows/bank,1024Columns/Row<br>8KBRowBuﬀerperBank,BL=8,<br>Timeandpowerparametersfrom<br>Micron2GbSDRAM |",1]
["| ReorderBuﬀer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |\n| --- | --- |\n| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |\n| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) |\n| L3Cache | Shared,16-way,64Bcacheline,<br>1MB/core,45CPUcycleshit(40+5) |\n| Memory<br>Controller | 2buﬀerschedulers/MC,<br>Read/WriteQueue:64/64 |\n| LinkBus | 2.7GHz,point-to-point,<br>read/writebuswidth:16/16 |\n| Buﬀer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |\n| DRAMParameters |  |","| SystemConﬁguration |  |\n| --- | --- |\n| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |\n| MemorySubsystem |  |\n| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |\n| 2-DMeshwithXYRouting |  |\n| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits |",0]
["| ReorderBuﬀer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |\n| --- | --- |\n| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |\n| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) |","| L3Cache | Shared,16-way,64Bcacheline,<br>1MB/core,45CPUcycleshit(40+5) |\n| --- | --- |\n| Memory<br>Controller | 2buﬀerschedulers/MC,<br>Read/WriteQueue:64/64 |\n| LinkBus | 2.7GHz,point-to-point,<br>read/writebuswidth:16/16 |\n| Buﬀer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |\n| DRAMParameters |  |\n| Memory | 264-bitChannels,2Ranks/Channel,<br>8devices/Rank,8sub-ranks/rank,<br>x8-widthsub-rank,1device/sub-rank |\n| DRAMDevice | DDR3-1333MHz,x8,8banks,<br>32768Rows/bank,1024Columns/Row<br>8KBRowBuﬀerperBank,BL=8,<br>Timeandpowerparametersfrom<br>Micron2GbSDRAM |",1]
["| ReorderBuﬀer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |\n| --- | --- |\n| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |\n| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) |","| 2-DMeshwithXYRouting |  |\n| --- | --- |\n| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits |",0]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |","| m=16 | 0.0010 | 2.5410 | 7.2810 | 0.6710 | 1.7510 | 7.4910 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=24 | 0.0010 | 1.0710 | 3.8010 | 0.1610 | 0.8810 | 5.2910 |\n| m=32 | 0.0010 | 0.8210 | 3.2310 | 0.1810 | 0.6310 | 3.1310 |\n| m=48 | 0.0010 | 0.3110 | 1.1410 | 0.0610 | 0.3310 | 2.0710 |\n| m=60 | 0.0010 | 0.2010 | 0.7010 | 0.0510 | 0.2610 | 1.5510 |",1]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |","| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 1.000 | 1.4708 | 1.8248 | 1.000 | 1.3185 | 2.0239 |\n| m=24 | 1.000 | 1.9088 | 2.8926 | 1.000 | 1.3187 | 2.6559 |\n| m=32 | 1.000 | 1.7273 | 2.7441 | 1.000 | 1.3679 | 2.4393 |\n| m=48 | 1.000 | 1.5386 | 2.0232 | 1.000 | 1.3051 | 1.9371 |\n| m=60 | 1.000 | 1.5096 | 1.9333 | 1.000 | 1.3447 | 1.8922 |",0]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 0.0010 | 2.5410 | 7.2810 | 0.6710 | 1.7510 | 7.4910 |","| m=24 | 0.0010 | 1.0710 | 3.8010 | 0.1610 | 0.8810 | 5.2910 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=32 | 0.0010 | 0.8210 | 3.2310 | 0.1810 | 0.6310 | 3.1310 |\n| m=48 | 0.0010 | 0.3110 | 1.1410 | 0.0610 | 0.3310 | 2.0710 |\n| m=60 | 0.0010 | 0.2010 | 0.7010 | 0.0510 | 0.2610 | 1.5510 |",1]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 0.0010 | 2.5410 | 7.2810 | 0.6710 | 1.7510 | 7.4910 |","| m=48 | 1.000 | 1.5386 | 2.0232 | 1.000 | 1.3051 | 1.9371 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=60 | 1.000 | 1.5096 | 1.9333 | 1.000 | 1.3447 | 1.8922 |",0]
["| Evaluationprotocol | IC13Eval | DetEval |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | R | P | F | R | P | F |\n| fasttext | 0.69 | 0.84 | 0.77 | – | – | – |","| MMser | 0.70 | 0.86 | 0.77 | – | – | – |\n| --- | --- | --- | --- | --- | --- | --- |\n| Luetal. | 0.70 | 0.89 | 0.78 | – | – | – |\n| TextFlow | 0.76 | 0.85 | 0.80 | – | – | – |\n| Heetal. | 0.76 | 0.85 | 0.80 | – | – | – |\n| Heetal. | 0.73 | 0.93 | 0.82 | – | – | – |\n| FCRNall+ﬁlts | – | – | – | 0.76 | 0.92 | 0.83 |\n| FCN | 0.78 | 0.88 | 0.83 | – | – | – |\n| Tianetal | 0.84 | 0.84 | 0.84 | – | – | – |\n| Qinetal. | 0.79 | 0.89 | 0.83 | – | – | – |\n| Shietal. | – | – | – | 0.83 | 0.88 | 0.85 |\n| Tianetal. | – | – | – | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 | – | – | – |\n| SSD | 0.60 | 0.80 | 0.68 | 0.60 | 0.80 | 0.69 |\n| TextBoxes | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |\n| TextBoxesMS | 0.83 | 0.88 | 0.85 | 0.83 | 0.89 | 0.86 |\n| TextBoxes++ | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |\n| TextBoxes++MS | 0.84 | 0.91 | 0.88 | 0.86 | 0.92 | 0.89 |",1]
["| Evaluationprotocol | IC13Eval | DetEval |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | R | P | F | R | P | F |\n| fasttext | 0.69 | 0.84 | 0.77 | – | – | – |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.88 | 0.78 | 0.83 |\n| Zhangetal. | 0.88 | 0.74 | 0.80 |\n| Tianetal. | 0.85 | 0.76 | 0.80 |\n| Luetal. | 0.89 | 0.70 | 0.78 |\n| iwrr2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 0.88 | 0.65 | 0.74 |\n| Yinetal. | 0.84 | 0.65 | 0.73 |\n| CASIANLPR | 0.79 | 0.68 | 0.73 |\n| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |\n| I2RNUSFAR | 0.75 | 0.69 | 0.72 |\n| I2RNUS | 0.73 | 0.66 | 0.69 |\n| TH-TextLoc | 0.70 | 0.65 | 0.67 |",0]
["| Evaluationprotocol | IC13Eval | DetEval |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | R | P | F | R | P | F |\n| fasttext | 0.69 | 0.84 | 0.77 | – | – | – |\n| MMser | 0.70 | 0.86 | 0.77 | – | – | – |\n| Luetal. | 0.70 | 0.89 | 0.78 | – | – | – |\n| TextFlow | 0.76 | 0.85 | 0.80 | – | – | – |\n| Heetal. | 0.76 | 0.85 | 0.80 | – | – | – |\n| Heetal. | 0.73 | 0.93 | 0.82 | – | – | – |\n| FCRNall+ﬁlts | – | – | – | 0.76 | 0.92 | 0.83 |\n| FCN | 0.78 | 0.88 | 0.83 | – | – | – |\n| Tianetal | 0.84 | 0.84 | 0.84 | – | – | – |\n| Qinetal. | 0.79 | 0.89 | 0.83 | – | – | – |\n| Shietal. | – | – | – | 0.83 | 0.88 | 0.85 |\n| Tianetal. | – | – | – | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 | – | – | – |\n| SSD | 0.60 | 0.80 | 0.68 | 0.60 | 0.80 | 0.69 |\n| TextBoxes | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |\n| TextBoxesMS | 0.83 | 0.88 | 0.85 | 0.83 | 0.89 | 0.86 |","| TextBoxes++ | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TextBoxes++MS | 0.84 | 0.91 | 0.88 | 0.86 | 0.92 | 0.89 |",1]
["| Evaluationprotocol | IC13Eval | DetEval |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Methods | R | P | F | R | P | F |\n| fasttext | 0.69 | 0.84 | 0.77 | – | – | – |\n| MMser | 0.70 | 0.86 | 0.77 | – | – | – |\n| Luetal. | 0.70 | 0.89 | 0.78 | – | – | – |\n| TextFlow | 0.76 | 0.85 | 0.80 | – | – | – |\n| Heetal. | 0.76 | 0.85 | 0.80 | – | – | – |\n| Heetal. | 0.73 | 0.93 | 0.82 | – | – | – |\n| FCRNall+ﬁlts | – | – | – | 0.76 | 0.92 | 0.83 |\n| FCN | 0.78 | 0.88 | 0.83 | – | – | – |\n| Tianetal | 0.84 | 0.84 | 0.84 | – | – | – |\n| Qinetal. | 0.79 | 0.89 | 0.83 | – | – | – |\n| Shietal. | – | – | – | 0.83 | 0.88 | 0.85 |\n| Tianetal. | – | – | – | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 | – | – | – |\n| SSD | 0.60 | 0.80 | 0.68 | 0.60 | 0.80 | 0.69 |\n| TextBoxes | 0.74 | 0.86 | 0.80 | 0.74 | 0.88 | 0.81 |\n| TextBoxesMS | 0.83 | 0.88 | 0.85 | 0.83 | 0.89 | 0.86 |","| Tianetal. | 0.85 | 0.76 | 0.80 |\n| --- | --- | --- | --- |\n| Luetal. | 0.89 | 0.70 | 0.78 |\n| iwrr2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 0.88 | 0.65 | 0.74 |\n| Yinetal. | 0.84 | 0.65 | 0.73 |\n| CASIANLPR | 0.79 | 0.68 | 0.73 |\n| TextDetectorCASIA | 0.85 | 0.63 | 0.72 |\n| I2RNUSFAR | 0.75 | 0.69 | 0.72 |\n| I2RNUS | 0.73 | 0.66 | 0.69 |\n| TH-TextLoc | 0.70 | 0.65 | 0.67 |",0]
["| London | Manchester | Birmingham | Leeds |\n| --- | --- | --- | --- |\n| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |\n| sleep(369) | government(612) | disabled(663) | eu(594) |","| trending(337) | tory(572) | extremely(654) | leaving(570) |\n| --- | --- | --- | --- |\n| ﬀ(316) | nhs(506) | inclusion(654) | nhs(539) |\n| topic(304) | eu(493) | wwfc(518) | ref(520) |\n| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |\n| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |\n| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) |\n| awards(-472) | gt(-564) | art(-692) | council(-564) |\n| greater(-818) | mufc(-606) | blues(-700) | bradford(-586) |",1]
["| London | Manchester | Birmingham | Leeds |\n| --- | --- | --- | --- |\n| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |\n| sleep(369) | government(612) | disabled(663) | eu(594) |","| Region | si | Region | Pi |\n| --- | --- | --- | --- |\n| Newcastle | -0.0116(8) | Manchester | -0.0108(3) |\n| Nottingham | -0.0059(5) | Newcastle | -0.0049(7) |\n| Manchester | 0.0012(4) | Norwich | -0.0023(8) |\n| Leeds | 0.0036(5) | Leeds | -0.0006(4) |\n| London | 0.0072(2) | Nottingham | -0.0006(5) |\n| Birmingham | 0.0130(5) | Bristol | 0.0014(4) |\n| Cardiﬀ | 0.0145(6) | Birmingham | 0.0038(4) |\n| Bristol | 0.0145(6) | Cardiﬀ | 0.0038(6) |\n| Norwich | 0.0180(11) | London | 0.0042(2) |",0]
["| London | Manchester | Birmingham | Leeds |\n| --- | --- | --- | --- |\n| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |\n| sleep(369) | government(612) | disabled(663) | eu(594) |\n| trending(337) | tory(572) | extremely(654) | leaving(570) |\n| ﬀ(316) | nhs(506) | inclusion(654) | nhs(539) |\n| topic(304) | eu(493) | wwfc(518) | ref(520) |\n| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |\n| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |\n| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) |","| awards(-472) | gt(-564) | art(-692) | council(-564) |\n| --- | --- | --- | --- |\n| greater(-818) | mufc(-606) | blues(-700) | bradford(-586) |",1]
["| London | Manchester | Birmingham | Leeds |\n| --- | --- | --- | --- |\n| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |\n| sleep(369) | government(612) | disabled(663) | eu(594) |\n| trending(337) | tory(572) | extremely(654) | leaving(570) |\n| ﬀ(316) | nhs(506) | inclusion(654) | nhs(539) |\n| topic(304) | eu(493) | wwfc(518) | ref(520) |\n| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |\n| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |\n| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) |","| Cardiﬀ | 0.0145(6) | Birmingham | 0.0038(4) |\n| --- | --- | --- | --- |\n| Bristol | 0.0145(6) | Cardiﬀ | 0.0038(6) |\n| Norwich | 0.0180(11) | London | 0.0042(2) |",0]
["|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |","| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",1]
["|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |","| Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |\n| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",0]
["|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |","| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",1]
["|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |","| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| --- | --- | --- | --- | --- | --- |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",0]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| model | comp-g | soap | docu-i |\n| Mediargus | 28.2 | 79.7 | 38.1 |","| CGN | 35.1 | 76.8 | 42.8 |\n| --- | --- | --- | --- |\n| VRTall | 30.8 | 75.0 | 39.1 |",1]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| model | comp-g | soap | docu-i |\n| Mediargus | 28.2 | 79.7 | 38.1 |","| testset |  |  |  |\n| --- | --- | --- | --- |\n| optimizedon | comp-g | soap | docu-i |\n| comp-g-dev | 26.3 | 76.4 | 34.7 |\n| soap-dev | 27.9 | 75.2 | 36.7 |\n| docu-i-dev | 27.1 | 74.5 | 36.3 |",0]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| model | comp-g | soap | docu-i |\n| Mediargus | 28.2 | 79.7 | 38.1 |","| CGN | 35.1 | 76.8 | 42.8 |\n| --- | --- | --- | --- |\n| VRTall | 30.8 | 75.0 | 39.1 |",1]
["| testset |  |  |  |\n| --- | --- | --- | --- |\n| model | comp-g | soap | docu-i |\n| Mediargus | 28.2 | 79.7 | 38.1 |","| comp-g-dev | 26.3 | 76.4 | 34.7 |\n| --- | --- | --- | --- |\n| soap-dev | 27.9 | 75.2 | 36.7 |\n| docu-i-dev | 27.1 | 74.5 | 36.3 |",0]
["| λ | Sims<br>JIQ-SQ(2) | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.01029 | 1.01033 | 1.12886 |\n| 0.60 | 1.02377 | 1.02379 | 1.17987 |\n| 0.70 | 1.05558 | 1.05557 | 1.25888 |\n| 0.80 | 1.14044 | 1.14027 | 1.40787 |\n| 0.90 | 1.46106 | 1.46035 | 1.83712 |\n| 0.95 | 2.19241 | 2.19045 | 2.68138 |\n| 0.96 | 2.57696 | 2.57420 | 3.10314 |","| 0.97 | 3.23186 | 3.22894 | 3.80509 |\n| --- | --- | --- | --- |\n| 0.98 | 4.57810 | 4.57186 | 5.20555 |\n| 0.99 | 8.71553 | 8.70009 | 9.40217 |",1]
["| λ | Sims<br>JIQ-SQ(2) | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.01029 | 1.01033 | 1.12886 |\n| 0.60 | 1.02377 | 1.02379 | 1.17987 |\n| 0.70 | 1.05558 | 1.05557 | 1.25888 |\n| 0.80 | 1.14044 | 1.14027 | 1.40787 |\n| 0.90 | 1.46106 | 1.46035 | 1.83712 |\n| 0.95 | 2.19241 | 2.19045 | 2.68138 |\n| 0.96 | 2.57696 | 2.57420 | 3.10314 |","| λ | Sims<br>z=1 | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.19356 | 1.19369 | 1.12886 |\n| 0.60 | 1.28239 | 1.28254 | 1.17987 |\n| 0.70 | 1.40813 | 1.40828 | 1.25888 |\n| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |\n| 0.95 | 2.33613 | 2.33539 | 2.68138 |\n| 0.96 | 2.48165 | 2.48041 | 3.10314 |\n| 0.97 | 2.69113 | 2.68903 | 3.80509 |\n| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",0]
["| λ | Sims<br>JIQ-SQ(2) | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.01029 | 1.01033 | 1.12886 |\n| 0.60 | 1.02377 | 1.02379 | 1.17987 |\n| 0.70 | 1.05558 | 1.05557 | 1.25888 |\n| 0.80 | 1.14044 | 1.14027 | 1.40787 |","| 0.90 | 1.46106 | 1.46035 | 1.83712 |\n| --- | --- | --- | --- |\n| 0.95 | 2.19241 | 2.19045 | 2.68138 |\n| 0.96 | 2.57696 | 2.57420 | 3.10314 |\n| 0.97 | 3.23186 | 3.22894 | 3.80509 |\n| 0.98 | 4.57810 | 4.57186 | 5.20555 |\n| 0.99 | 8.71553 | 8.70009 | 9.40217 |",1]
["| λ | Sims<br>JIQ-SQ(2) | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.01029 | 1.01033 | 1.12886 |\n| 0.60 | 1.02377 | 1.02379 | 1.17987 |\n| 0.70 | 1.05558 | 1.05557 | 1.25888 |\n| 0.80 | 1.14044 | 1.14027 | 1.40787 |","| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| --- | --- | --- | --- |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",0]
["|  | Branching | GameLength |\n| --- | --- | --- |\n| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |\n| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |\n| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |\n| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |\n| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |\n| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |\n| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 |","| 12x12-3base | 546.751.60×104.98×10 | 804.00135.3 |\n| --- | --- | --- |\n| 12x12-4base | 15330.001.08×108.07×10 | 777.80126.13 |",1]
["|  | Branching | GameLength |\n| --- | --- | --- |\n| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |\n| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |\n| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |\n| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |\n| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |\n| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |\n| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 |","|  | 321×481pixelimages |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |\n| SIFT | 0.039 | 0.017 | 25 | 59 | - |\n| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |\n| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |\n| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |\n| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |\n| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |",0]
["|  | Branching | GameLength |\n| --- | --- | --- |\n| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |\n| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |\n| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |\n| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |\n| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |\n| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |\n| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 |","| 12x12-3base | 546.751.60×104.98×10 | 804.00135.3 |\n| --- | --- | --- |\n| 12x12-4base | 15330.001.08×108.07×10 | 777.80126.13 |",1]
["|  | Branching | GameLength |\n| --- | --- | --- |\n| Map | MedianAverageMax | AverageCyclesAverageDecisionCycles |\n| 8x8-1base | 14.501466.352.65×10 | 428.3348.93 |\n| 8x8-2base | 84.001.87×102.49×10 | 474.3358.93 |\n| 8x8-3base | 106.004.53×101.75×10 | 380.3352.10 |\n| 8x8-4base | 342.509.52×103.74×10 | 267.0038.60 |\n| 12x12-1base | 30.501.23×106.14×10 | 972.67158.17 |\n| 12x12-2base | 112.001.56×102.90×10 | 893.27151.00 |","| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |\n| --- | --- | --- | --- | --- | --- |\n| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |\n| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |\n| dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |\n| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 |","| dorothea | 59 | 705 | - | - | 594 | 4 | 4 | 59 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |\n| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |\n| dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |\n| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |\n| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |\n| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |\n| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |\n| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |","| dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 |\n| dorothea | 59 | 705 | - | - | 594 | 4 | 4 | 59 |\n| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |\n| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |","| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",0]
["| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |","| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| --- | --- | --- | --- |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",1]
["| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |","| Layer | Units | Filters | FilterSize | PoolSize | Activation |\n| --- | --- | --- | --- | --- | --- |\n| 1-input | - | - | - | - | - |\n| 2-conv-1 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 3-maxpool-1 | - | - | - | 2x2 | - |\n| 4-conv-2 | - | 8/16* | 5x5/11x11 | - | ReLu |\n| 5-maxpool-2 | - | - | - | 2x2 | - |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",0]
["| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |","| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| --- | --- | --- | --- |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",1]
["| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |","| 5-maxpool-2 | - | - | - | 2x2 | - |\n| --- | --- | --- | --- | --- | --- |\n| 6-dropout(507-fullyconnected-1 | 256 | - | - | - | ReLu |\n| 8-fullyconnected-2 | 10 | - | - | - | Sigmoid |",0]
["| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |\n| --- | --- | --- | --- |\n| DatabaseFrames | 1,000 | 4,000 | 4,000 |\n| DatabaseMarkers | 5,000 | 20,000 | 20,000 |\n| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |\n| BadMarkerFrames | - | 800 | 800 |\n| TotalBadMarkers | - | 800 | 800 |\n| CorrectTracked | - | 23 | 127 |\n| Percentage | 100 | 2.88 | 15.87 |\n| MissingStart | 100 | 400 | 400 |\n| TotalMarkers | 500 | 2,000 | 2,000 |\n| CorrectTracked | 500 | 35 | 59 |\n| Percentage | 100 | 1.75 | 2.95 |\n| PartitiallyOccluded | 30 | 250 | 250 |\n| TotalMarkers | 150 | 1,250 | 1,250 |\n| CorrectTracked | 150 | 10 | 217 |\n| Percentage | 100 | 0.8 | 17.36 |\n| Occlused | 50 | 300 | 300 |\n| TotalMarkers | 250 | 1,500 | 1,500 |\n| CorrectTracked | 250 | 10 | 217 |\n| Percentage | 100 | 0.67 | 14.47 |\n| PerfectConsecutive | 450 | 1,300 | 1,300 |\n| TotalMarkers | 2,250 | 6,500 | 6,500 |\n| CorrectTracked | 2,250 | 6,377 | 6,494 |\n| Percentage | 100 | 98.11 | 99.90 |\n| TotalFrames | 900 | 3,600 | 3,600 |\n| TotalMarkers | 4,500 | 18,000 | 18,000 |","| CorrectTracked | 4,500 | 10,891 | 14,237 |\n| --- | --- | --- | --- |\n| Percentage | 100 | 60.50 | 79.09 |",1]
["| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |\n| --- | --- | --- | --- |\n| DatabaseFrames | 1,000 | 4,000 | 4,000 |\n| DatabaseMarkers | 5,000 | 20,000 | 20,000 |\n| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |\n| BadMarkerFrames | - | 800 | 800 |\n| TotalBadMarkers | - | 800 | 800 |\n| CorrectTracked | - | 23 | 127 |\n| Percentage | 100 | 2.88 | 15.87 |\n| MissingStart | 100 | 400 | 400 |\n| TotalMarkers | 500 | 2,000 | 2,000 |\n| CorrectTracked | 500 | 35 | 59 |\n| Percentage | 100 | 1.75 | 2.95 |\n| PartitiallyOccluded | 30 | 250 | 250 |\n| TotalMarkers | 150 | 1,250 | 1,250 |\n| CorrectTracked | 150 | 10 | 217 |\n| Percentage | 100 | 0.8 | 17.36 |\n| Occlused | 50 | 300 | 300 |\n| TotalMarkers | 250 | 1,500 | 1,500 |\n| CorrectTracked | 250 | 10 | 217 |\n| Percentage | 100 | 0.67 | 14.47 |\n| PerfectConsecutive | 450 | 1,300 | 1,300 |\n| TotalMarkers | 2,250 | 6,500 | 6,500 |\n| CorrectTracked | 2,250 | 6,377 | 6,494 |\n| Percentage | 100 | 98.11 | 99.90 |\n| TotalFrames | 900 | 3,600 | 3,600 |\n| TotalMarkers | 4,500 | 18,000 | 18,000 |","| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 7216 | 340 | 1168 | 1.26s |\n| 4476 | 519 | 989 | 72.31s |\n| 5428 | 447 | 1061 | 63.27s |\n| 5558 | 329 | 1508 | 89.96s |\n| 5121 | 253 | 1179 | 59.97s |\n| 7501 | 470 | 1038 | 60.39s |\n| 10110 | 162 | 1346 | 72.69s |\n| 9515 | 404 | 1104 | 55.89s |\n| 8746 | 284 | 1224 | 81.74s |\n| 9133 | 301 | 1207 | 60.51s |\n| 10328 | 420 | 1088 | 72.13s |\n| 8931 | 319 | 1189 | 291.10s |",0]
["| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |\n| --- | --- | --- | --- |\n| DatabaseFrames | 1,000 | 4,000 | 4,000 |\n| DatabaseMarkers | 5,000 | 20,000 | 20,000 |\n| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |\n| BadMarkerFrames | - | 800 | 800 |\n| TotalBadMarkers | - | 800 | 800 |\n| CorrectTracked | - | 23 | 127 |\n| Percentage | 100 | 2.88 | 15.87 |\n| MissingStart | 100 | 400 | 400 |","| TotalMarkers | 500 | 2,000 | 2,000 |\n| --- | --- | --- | --- |\n| CorrectTracked | 500 | 35 | 59 |\n| Percentage | 100 | 1.75 | 2.95 |\n| PartitiallyOccluded | 30 | 250 | 250 |\n| TotalMarkers | 150 | 1,250 | 1,250 |\n| CorrectTracked | 150 | 10 | 217 |\n| Percentage | 100 | 0.8 | 17.36 |\n| Occlused | 50 | 300 | 300 |\n| TotalMarkers | 250 | 1,500 | 1,500 |\n| CorrectTracked | 250 | 10 | 217 |\n| Percentage | 100 | 0.67 | 14.47 |\n| PerfectConsecutive | 450 | 1,300 | 1,300 |\n| TotalMarkers | 2,250 | 6,500 | 6,500 |\n| CorrectTracked | 2,250 | 6,377 | 6,494 |\n| Percentage | 100 | 98.11 | 99.90 |\n| TotalFrames | 900 | 3,600 | 3,600 |\n| TotalMarkers | 4,500 | 18,000 | 18,000 |\n| CorrectTracked | 4,500 | 10,891 | 14,237 |\n| Percentage | 100 | 60.50 | 79.09 |",1]
["| Method | ManualTracking | Thre+2DTracking | SLIC+2DTracking |\n| --- | --- | --- | --- |\n| DatabaseFrames | 1,000 | 4,000 | 4,000 |\n| DatabaseMarkers | 5,000 | 20,000 | 20,000 |\n| AverageTimeperTrial | 8,700±2300 | 108±12 | 118±14 |\n| BadMarkerFrames | - | 800 | 800 |\n| TotalBadMarkers | - | 800 | 800 |\n| CorrectTracked | - | 23 | 127 |\n| Percentage | 100 | 2.88 | 15.87 |\n| MissingStart | 100 | 400 | 400 |","| 5428 | 447 | 1061 | 63.27s |\n| --- | --- | --- | --- |\n| 5558 | 329 | 1508 | 89.96s |\n| 5121 | 253 | 1179 | 59.97s |\n| 7501 | 470 | 1038 | 60.39s |\n| 10110 | 162 | 1346 | 72.69s |\n| 9515 | 404 | 1104 | 55.89s |\n| 8746 | 284 | 1224 | 81.74s |\n| 9133 | 301 | 1207 | 60.51s |\n| 10328 | 420 | 1088 | 72.13s |\n| 8931 | 319 | 1189 | 291.10s |",0]
["| Graph | \\|C\\| | Time | TS | TR |\n| --- | --- | --- | --- | --- |\n| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |\n| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |\n| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |\n| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |\n| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |\n| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |\n| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |\n| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |\n| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |\n| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 |","| phat700-1.clq | 16,384 | 1.7min | 1,342 | 32,883 |\n| --- | --- | --- | --- | --- |\n| phat1000-2.clq | 64 | 23.6min | 3,664 | 3,799 |\n| phat1000-2.clq | 128 | 12.5min | 2,651 | 2,912 |\n| phat1000-2.clq | 256 | 6.5min | 1,623 | 1,956 |\n| phat1000-2.clq | 512 | 3.7min | 1,235 | 1,872 |\n| phat1000-2.clq | 1,024 | 2.1min | 866 | 2,142 |\n| phat1000-2.clq | 2,048 | 1.2min | 610 | 3,120 |\n| frb30-15-1.mis | 1,024 | 14.2hrs | 13,580 | 15,968 |\n| frb30-15-1.mis | 2,048 | 7.2hrs | 21,899 | 26,597 |\n| frb30-15-1.mis | 4,096 | 3.6hrs | 28,740 | 37,733 |\n| frb30-15-1.mis | 8,192 | 1.9hrs | 29,110 | 45,685 |\n| frb30-15-1.mis | 16,384 | 55.1min | 28,707 | 59,978 |\n| frb30-15-1.mis | 32,768 | 28.8min | 30,008 | 96,438 |\n| frb30-15-1.mis | 65,536 | 16.8min | 25,359 | 158,371 |\n| frb30-15-1.mis | 131,072 | 11.1min | 19,419 | 312,430 |\n| 60-cell | 128 | 14.3hrs | 19 | 26 |\n| 60-cell | 256 | 7.3hrs | 23 | 23 |\n| 60-cell | 512 | 3.7hrs | 1,091 | 1,388 |\n| 60-cell | 1,024 | 45.1min | 1,397 | 1,940 |\n| 60-cell | 2,048 | 11.3min | 1,331 | 2,430 |\n| 60-cell | 4,096 | 2.8min | 949 | 3,094 |",1]
["| Graph | \\|C\\| | Time | TS | TR |\n| --- | --- | --- | --- | --- |\n| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |\n| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |\n| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |\n| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |\n| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |\n| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |\n| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |\n| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |\n| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |\n| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 |","| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k | l | \\|e\\| | \\|e\\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |\n| 5 | 5 | 50 | 9.98 | 7.35 | 0.53 | 0.42 | 0.0097 | 0.00087 |\n| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |\n| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |\n| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",0]
["| Graph | \\|C\\| | Time | TS | TR |\n| --- | --- | --- | --- | --- |\n| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |\n| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |\n| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |\n| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |\n| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |\n| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |\n| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |\n| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |\n| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |\n| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 |\n| phat700-1.clq | 16,384 | 1.7min | 1,342 | 32,883 |\n| phat1000-2.clq | 64 | 23.6min | 3,664 | 3,799 |\n| phat1000-2.clq | 128 | 12.5min | 2,651 | 2,912 |\n| phat1000-2.clq | 256 | 6.5min | 1,623 | 1,956 |\n| phat1000-2.clq | 512 | 3.7min | 1,235 | 1,872 |\n| phat1000-2.clq | 1,024 | 2.1min | 866 | 2,142 |\n| phat1000-2.clq | 2,048 | 1.2min | 610 | 3,120 |\n| frb30-15-1.mis | 1,024 | 14.2hrs | 13,580 | 15,968 |\n| frb30-15-1.mis | 2,048 | 7.2hrs | 21,899 | 26,597 |\n| frb30-15-1.mis | 4,096 | 3.6hrs | 28,740 | 37,733 |","| frb30-15-1.mis | 8,192 | 1.9hrs | 29,110 | 45,685 |\n| --- | --- | --- | --- | --- |\n| frb30-15-1.mis | 16,384 | 55.1min | 28,707 | 59,978 |\n| frb30-15-1.mis | 32,768 | 28.8min | 30,008 | 96,438 |\n| frb30-15-1.mis | 65,536 | 16.8min | 25,359 | 158,371 |\n| frb30-15-1.mis | 131,072 | 11.1min | 19,419 | 312,430 |\n| 60-cell | 128 | 14.3hrs | 19 | 26 |\n| 60-cell | 256 | 7.3hrs | 23 | 23 |\n| 60-cell | 512 | 3.7hrs | 1,091 | 1,388 |\n| 60-cell | 1,024 | 45.1min | 1,397 | 1,940 |\n| 60-cell | 2,048 | 11.3min | 1,331 | 2,430 |\n| 60-cell | 4,096 | 2.8min | 949 | 3,094 |",1]
["| Graph | \\|C\\| | Time | TS | TR |\n| --- | --- | --- | --- | --- |\n| phat700-1.clq | 16 | 19.5hrs | 2,876 | 2,910 |\n| phat700-1.clq | 32 | 9.8hrs | 2,502 | 2,567 |\n| phat700-1.clq | 64 | 4.9hrs | 3,398 | 3,518 |\n| phat700-1.clq | 128 | 2.5hrs | 4,928 | 5,196 |\n| phat700-1.clq | 256 | 1.3hrs | 4,578 | 5,153 |\n| phat700-1.clq | 512 | 38min | 4,354 | 5,451 |\n| phat700-1.clq | 1,024 | 18.9min | 4,052 | 6,391 |\n| phat700-1.clq | 2,048 | 9.89min | 3,781 | 8,117 |\n| phat700-1.clq | 4,096 | 5.39min | 3,665 | 11,978 |\n| phat700-1.clq | 8,192 | 2.9min | 2,714 | 19,183 |\n| phat700-1.clq | 16,384 | 1.7min | 1,342 | 32,883 |\n| phat1000-2.clq | 64 | 23.6min | 3,664 | 3,799 |\n| phat1000-2.clq | 128 | 12.5min | 2,651 | 2,912 |\n| phat1000-2.clq | 256 | 6.5min | 1,623 | 1,956 |\n| phat1000-2.clq | 512 | 3.7min | 1,235 | 1,872 |\n| phat1000-2.clq | 1,024 | 2.1min | 866 | 2,142 |\n| phat1000-2.clq | 2,048 | 1.2min | 610 | 3,120 |\n| frb30-15-1.mis | 1,024 | 14.2hrs | 13,580 | 15,968 |\n| frb30-15-1.mis | 2,048 | 7.2hrs | 21,899 | 26,597 |\n| frb30-15-1.mis | 4,096 | 3.6hrs | 28,740 | 37,733 |","| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",0]
["| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 |  | 25.00 | 24.19 | 25.19 | 24.44 |","| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| --- | --- | --- | --- | --- | --- |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",1]
["| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 |  | 25.00 | 24.19 | 25.19 | 24.44 |","| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |\n| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |\n| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 |",0]
["| LM | #succ<br>words | dev | eval |\n| --- | --- | --- | --- |\n| Vit | CN | Vit | CN |","| ng4 |  | 25.00 | 24.19 | 25.19 | 24.44 |\n| --- | --- | --- | --- | --- | --- |\n| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",1]
["| LM | #succ<br>words | dev | eval |\n| --- | --- | --- | --- |\n| Vit | CN | Vit | CN |","| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |\n| --- | --- | --- | --- | --- | --- |\n| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |\n| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 |",0]
["| DATASET | KNN | SVM | RandomForest |\n| --- | --- | --- | --- |\n| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |\n| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |\n| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) |","| debate | 40.6(±1.5) | 23.7(±19.8) | 42.6(±1.7) |\n| --- | --- | --- | --- |\n| sentistrengthrw | 37.3(±5.0) | 17.3(±14.6) | 34.6(±1.8) |",1]
["| DATASET | KNN | SVM | RandomForest |\n| --- | --- | --- | --- |\n| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |\n| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |\n| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) |","| #Concordants |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |\n| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |\n| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |\n| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |\n| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |\n| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |\n| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |\n| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |\n| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |\n| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |\n| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |\n| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",0]
["| DATASET | KNN | SVM | RandomForest |\n| --- | --- | --- | --- |\n| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |\n| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |\n| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) |","| debate | 40.6(±1.5) | 23.7(±19.8) | 42.6(±1.7) |\n| --- | --- | --- | --- |\n| sentistrengthrw | 37.3(±5.0) | 17.3(±14.6) | 34.6(±1.8) |",1]
["| DATASET | KNN | SVM | RandomForest |\n| --- | --- | --- | --- |\n| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |\n| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |\n| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) |","| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |\n| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |\n| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |\n| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |\n| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |\n| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |\n| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |\n| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |\n| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |\n| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |\n| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",0]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 |","| 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |\n| --- | --- | --- | --- | --- |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",1]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 |","| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.731 | 0.921 | 0.815 | 0.837 | 0.386 |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.410 | 0.093 | 0.151 | 0.393 | 0.053 |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",0]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 |","| 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |\n| --- | --- | --- | --- | --- |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",1]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 |","| 0.731 | 0.921 | 0.815 | 0.837 | 0.386 |\n| --- | --- | --- | --- | --- |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.410 | 0.093 | 0.151 | 0.393 | 0.053 |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",0]
["| Debatepediaextendeddataset |  |  |\n| --- | --- | --- |\n| Topic | #argum | #pairs |\n| Violentgames/aggressiveness | 17 | 23 |\n| Chinaone-childpolicy | 11 | 14 |\n| Considercocaasanarcotic | 17 | 22 |\n| Childbeautycontests | 13 | 17 |\n| ArmingLibyanrebels | 13 | 15 |\n| Randomalcoholbreathtests | 11 | 14 |\n| Osamadeathphoto | 22 | 24 |\n| Privatizingsocialsecurity | 12 | 13 |\n| Internetaccessasaright | 15 | 17 |\n| Groundzeromosque | 11 | 12 |\n| Mandatorymilitaryservice | 15 | 17 |\n| NoﬂyzoneoverLibya | 18 | 19 |\n| Airportsecurityproﬁling | 12 | 13 |\n| Solarenergy | 18 | 19 |\n| Naturalgasvehicles | 16 | 17 |\n| Useofcellphones/driving | 16 | 16 |","| Marijuanalegalization | 23 | 25 |\n| --- | --- | --- |\n| Gaymarriageasaright | 10 | 10 |\n| Vegetarianism | 14 | 13 |\n| TOTAL | 310 | 320 |",1]
["| Debatepediaextendeddataset |  |  |\n| --- | --- | --- |\n| Topic | #argum | #pairs |\n| Violentgames/aggressiveness | 17 | 23 |\n| Chinaone-childpolicy | 11 | 14 |\n| Considercocaasanarcotic | 17 | 22 |\n| Childbeautycontests | 13 | 17 |\n| ArmingLibyanrebels | 13 | 15 |\n| Randomalcoholbreathtests | 11 | 14 |\n| Osamadeathphoto | 22 | 24 |\n| Privatizingsocialsecurity | 12 | 13 |\n| Internetaccessasaright | 15 | 17 |\n| Groundzeromosque | 11 | 12 |\n| Mandatorymilitaryservice | 15 | 17 |\n| NoﬂyzoneoverLibya | 18 | 19 |\n| Airportsecurityproﬁling | 12 | 13 |\n| Solarenergy | 18 | 19 |\n| Naturalgasvehicles | 16 | 17 |\n| Useofcellphones/driving | 16 | 16 |","| Portalcategories | Numberofportals |\n| --- | --- |\n| Statistics | 1 |\n| Representations | 2 |\n| PeriphericalOﬃces | 6 |\n| Certiﬁcations | 4 |\n| PropertyRegisterOﬃces | 3 |\n| SocialSecurity | 9 |\n| ForeignRelations | 4 |\n| RelationsAbroad | 6 |\n| Defense | 1 |\n| Justice | 10 |\n| Criminality | 6 |\n| InternalSecurity | 6 |\n| PublicAssistance | 5 |\n| HealthServices | 6 |\n| Education | 3 |\n| Environment | 8 |\n| CulturalGoods | 10 |\n| Employment | 9 |\n| Farms | 3 |\n| IndustrialCompanies | 9 |\n| Transportations | 10 |",0]
["| Debatepediaextendeddataset |  |  |\n| --- | --- | --- |\n| Topic | #argum | #pairs |","| Violentgames/aggressiveness | 17 | 23 |\n| --- | --- | --- |\n| Chinaone-childpolicy | 11 | 14 |\n| Considercocaasanarcotic | 17 | 22 |\n| Childbeautycontests | 13 | 17 |\n| ArmingLibyanrebels | 13 | 15 |\n| Randomalcoholbreathtests | 11 | 14 |\n| Osamadeathphoto | 22 | 24 |\n| Privatizingsocialsecurity | 12 | 13 |\n| Internetaccessasaright | 15 | 17 |\n| Groundzeromosque | 11 | 12 |\n| Mandatorymilitaryservice | 15 | 17 |\n| NoﬂyzoneoverLibya | 18 | 19 |\n| Airportsecurityproﬁling | 12 | 13 |\n| Solarenergy | 18 | 19 |\n| Naturalgasvehicles | 16 | 17 |\n| Useofcellphones/driving | 16 | 16 |\n| Marijuanalegalization | 23 | 25 |\n| Gaymarriageasaright | 10 | 10 |\n| Vegetarianism | 14 | 13 |\n| TOTAL | 310 | 320 |",1]
["| Debatepediaextendeddataset |  |  |\n| --- | --- | --- |\n| Topic | #argum | #pairs |","| HealthServices | 6 |\n| --- | --- |\n| Education | 3 |\n| Environment | 8 |\n| CulturalGoods | 10 |\n| Employment | 9 |\n| Farms | 3 |\n| IndustrialCompanies | 9 |\n| Transportations | 10 |",0]
["| n | Gfan | Pruning |\n| --- | --- | --- |\n| 3 | 0.036 | 0.12 |\n| 4 | 0.23 | 0.25 |","| 5 | 2.03 | 0.80 |\n| --- | --- | --- |\n| 6 | 23.49 | 10.73 |\n| 7 | 299.32 | 49.53 |\n| 8 | 3,764.83 | 540.32 |",1]
["| n | Gfan | Pruning |\n| --- | --- | --- |\n| 3 | 0.036 | 0.12 |\n| 4 | 0.23 | 0.25 |","| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 3 | 0.008 | 0.20 | 7 | 319 |\n| 4 | 0.11 | 0.42 | 18 | 7,384 |\n| 5 | 1.33 | 0.76 | 58 | 152,054 |\n| 6 | 13.03 | 2.75 | 171 | 4,305,758 |\n| 7 | 243.88 | 20.17 | 614 | 91,381,325 |\n| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 |",0]
["| n | Gfan | Pruning |\n| --- | --- | --- |\n| 3 | 0.036 | 0.12 |\n| 4 | 0.23 | 0.25 |\n| 5 | 2.03 | 0.80 |","| 6 | 23.49 | 10.73 |\n| --- | --- | --- |\n| 7 | 299.32 | 49.53 |\n| 8 | 3,764.83 | 540.32 |",1]
["| n | Gfan | Pruning |\n| --- | --- | --- |\n| 3 | 0.036 | 0.12 |\n| 4 | 0.23 | 0.25 |\n| 5 | 2.03 | 0.80 |","| 7 | 243.88 | 20.17 | 614 | 91,381,325 |\n| --- | --- | --- | --- | --- |\n| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 |",0]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 55.50<br>31.00 |\n| A<br>B | 61.00<br>52.00 |","| A<br>B | 66.50<br>73.00 |\n| --- | --- |\n| A<br>B | 72.00<br>87.37 |",1]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 55.50<br>31.00 |\n| A<br>B | 61.00<br>52.00 |","| Net | ISPA |\n| --- | --- |\n| A<br>B | 112.1<br>92.1 |\n| A<br>B | 123.3<br>133.3 |\n| A<br>B | 144.8<br>156.5 |\n| A<br>B | 81.8<br>99.5 |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",0]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 55.50<br>31.00 |","| A<br>B | 61.00<br>52.00 |\n| --- | --- |\n| A<br>B | 66.50<br>73.00 |\n| A<br>B | 72.00<br>87.37 |",1]
["| Net | ISPA |\n| --- | --- |\n| A<br>B | 55.50<br>31.00 |","| A<br>B | 144.8<br>156.5 |\n| --- | --- |\n| A<br>B | 81.8<br>99.5 |\n| A<br>B | 96.0<br>105.3 |\n| A<br>B | 105.5<br>106.7 |",0]
["| Dataset | AUC | Accuracy | #DRs |\n| --- | --- | --- | --- |\n| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |\n| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |\n| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) |\n| L-H | 0.905(0.116)<br>0.967(0.004) | 0.840(0.144)<br>0.966(0.002) | 2.000(0.000)<br>29.400(2.302) |","| M | 0.501(0.132)<br>0.682(0.212) | 0.493(0.223)<br>0.622(0.201) | 3.000(1.000)<br>123.000(1.050) |\n| --- | --- | --- | --- |\n| P | 0.388(0.028)<br>0.554(0.025) | 0.158(0.036)<br>0.921(0.012) | 2.000(0.000)<br>26.000(1.732) |",1]
["| Dataset | AUC | Accuracy | #DRs |\n| --- | --- | --- | --- |\n| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |\n| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |\n| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) |\n| L-H | 0.905(0.116)<br>0.967(0.004) | 0.840(0.144)<br>0.966(0.002) | 2.000(0.000)<br>29.400(2.302) |","| Dataset | CIFAR-10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(a)<br>FReLU(a)<br>ELU(c)<br>FReLU(b) | 8.12(0.18)<br>8.04(0.08)<br>8.10(0.18)<br>8.28(0.09)<br>8.00(0.14) | 7.28(0.19)<br>7.62(0.21)<br>7.30(0.17)<br>7.07(0.17)<br>6.99(0.11) | 6.97(0.24)<br>7.51(0.22)<br>6.91(0.25)<br>6.78(0.10)<br>6.58(0.19) | 6.87(0.54)<br>7.71(0.26)<br>6.54(0.22)<br>6.54(0.20)<br>6.31(0.20) | 6.82(0.63)<br>8.21(0.21)<br>6.20(0.23)<br>5.86(0.14)<br>5.71(0.19) |\n| Dataset | CIFAR-100 |  |  |  |  |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) |",0]
["| Dataset | AUC | Accuracy | #DRs |\n| --- | --- | --- | --- |\n| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |\n| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |\n| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) |","| L-H | 0.905(0.116)<br>0.967(0.004) | 0.840(0.144)<br>0.966(0.002) | 2.000(0.000)<br>29.400(2.302) |\n| --- | --- | --- | --- |\n| M | 0.501(0.132)<br>0.682(0.212) | 0.493(0.223)<br>0.622(0.201) | 3.000(1.000)<br>123.000(1.050) |\n| P | 0.388(0.028)<br>0.554(0.025) | 0.158(0.036)<br>0.921(0.012) | 2.000(0.000)<br>26.000(1.732) |",1]
["| Dataset | AUC | Accuracy | #DRs |\n| --- | --- | --- | --- |\n| A | 0.977(0.012)<br>0.974(0.014) | 0.942(0.002)<br>0.945(0.012) | 2.000(0.000)<br>3.400(2.607) |\n| G | 0.993(0.006)<br>1.000(0.000) | 0.969(0.008)<br>0.973(0.015) | 4.000(0.707)<br>8.000(0.000) |\n| L-L | 1.000(0.000)<br>1.000(0.000) | 0.988(0.002)<br>0.990(0.001) | 2.400(0.547)<br>3.800(0.447) |","| Dataset | CIFAR-100 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) |",0]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |","| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| --- | --- | --- | --- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",1]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |","| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |\n| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",0]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |","| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| --- | --- | --- | --- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",1]
["| Attribute | Training | Validation | Test |\n| --- | --- | --- | --- |\n| StreetViewImages<br>ProductShotImages | 199,666<br>313,099 | 39,933<br>- | 159,732<br>- |\n| TotalImages | 512,765 | 39,933 | 159,732 |","| StreetViewBBoxes<br>ProductShotBBoxes | 34,712<br>313,099 | 6,915<br>- | 27,865<br>- |\n| --- | --- | --- | --- |\n| TotalBBoxes | 347,811 | 6,915 | 27,865 |",0]
["| FCLS | SCLS | ELMM | PLMM |\n| --- | --- | --- | --- |\n| 0.14s | 0.42s | 14.76s | 16.17s |\n| 0.27s | 0.83s | 37.52s | 149.91s |\n| 0.17s | 0.35s | 15.82s | 63.07s |","| 0.82s | 2.31s | 174.53s | 484.02s |\n| --- | --- | --- | --- |\n| 6.63s | 15.61s | 527.89s | 7998.02s |",1]
["| FCLS | SCLS | ELMM | PLMM |\n| --- | --- | --- | --- |\n| 0.14s | 0.42s | 14.76s | 16.17s |\n| 0.27s | 0.83s | 37.52s | 149.91s |\n| 0.17s | 0.35s | 15.82s | 63.07s |","|  | DSTC2 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["| FCLS | SCLS | ELMM | PLMM |\n| --- | --- | --- | --- |\n| 0.14s | 0.42s | 14.76s | 16.17s |\n| 0.27s | 0.83s | 37.52s | 149.91s |","| 0.17s | 0.35s | 15.82s | 63.07s |\n| --- | --- | --- | --- |\n| 0.82s | 2.31s | 174.53s | 484.02s |\n| 6.63s | 15.61s | 527.89s | 7998.02s |",1]
["| FCLS | SCLS | ELMM | PLMM |\n| --- | --- | --- | --- |\n| 0.14s | 0.42s | 14.76s | 16.17s |\n| 0.27s | 0.83s | 37.52s | 149.91s |","| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["| user/pair | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |\n| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |\n| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |\n| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 |","| User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 |\n| --- | --- | --- | --- | --- |\n| User2/(3,4) | 0.9 | 0.8 | 0.1 | 0.7 |\n| User3/(2,3) | 0.6 | 0.2 | 0.4 | 0.1 |\n| User3/(2,4) | 0.3 | 0.5 | 0.2 | 0.1 |\n| User3/(3,4) | 0.8 | 0.1 | 0.6 | 0.9 |",1]
["| user/pair | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |\n| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |\n| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |\n| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 |","| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |\n| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["| user/pair | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |\n| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |\n| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |\n| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 |\n| User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 |","| User2/(3,4) | 0.9 | 0.8 | 0.1 | 0.7 |\n| --- | --- | --- | --- | --- |\n| User3/(2,3) | 0.6 | 0.2 | 0.4 | 0.1 |\n| User3/(2,4) | 0.3 | 0.5 | 0.2 | 0.1 |\n| User3/(3,4) | 0.8 | 0.1 | 0.6 | 0.9 |",1]
["| user/pair | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| User1/(2,3) | 0.8 | 0.7 | 0.6 | 0.5 |\n| User1/(2,4) | 0.4 | 0.1 | 0.3 | 0.6 |\n| User1/(3,4) | 0.9 | 0.8 | 0.7 | 0.6 |\n| User2/(2,3) | 0.5 | 0.4 | 0.6 | 0.9 |\n| User2/(2,4) | 0.2 | 0.4 | 0.3 | 0.1 |","| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |\n| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |","| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |\n| --- | --- | --- |\n| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 |",1]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |\n| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |","| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.0000.0000.0070.031 | 0.1850.2110.1930.192 |\n| 10 | 0.0210.0000.0150.062 | 0.0730.0730.0700.091 |\n| 20 | 0.0350.0270.0300.063 | 0.0560.0570.0560.075 |\n| 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |\n| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |\n| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 |",0]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |","| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |\n| --- | --- | --- |\n| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |\n| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 |",1]
["| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |","| 50 | 0.0410.0370.0380.057 | 0.0500.0500.0490.070 |\n| --- | --- | --- |\n| 100 | 0.0430.0390.0400.059 | 0.0470.0470.0470.066 |\n| 200 | 0.0440.0410.0420.064 | 0.0450.0450.0440.068 |",0]
["|  | MeanIU | F1score |\n| --- | --- | --- |\n| Levelset | 0.8235 | 0.8294 |\n| CUMedNet | 0.9394 | 0.9454 |\n| U-Net | 0.9479 | 0.9542 |","| OurFCN | 0.9586 | 0.9643 |\n| --- | --- | --- |\n| OurFCN+BR | 0.9617 | 0.9682 |",1]
["|  | MeanIU | F1score |\n| --- | --- | --- |\n| Levelset | 0.8235 | 0.8294 |\n| CUMedNet | 0.9394 | 0.9454 |\n| U-Net | 0.9479 | 0.9542 |","|  | VGG-F | CaﬀeNet | GoogLeNet | VGG-16 | VGG-19 | ResNet-152 | Mean |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline | 12.62 | 12.9 | 10.29 | 8.62 | 8.40 | 8.99 | 10.30 |\n| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |\n| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",0]
["|  | MeanIU | F1score |\n| --- | --- | --- |\n| Levelset | 0.8235 | 0.8294 |\n| CUMedNet | 0.9394 | 0.9454 |\n| U-Net | 0.9479 | 0.9542 |","| OurFCN | 0.9586 | 0.9643 |\n| --- | --- | --- |\n| OurFCN+BR | 0.9617 | 0.9682 |",1]
["|  | MeanIU | F1score |\n| --- | --- | --- |\n| Levelset | 0.8235 | 0.8294 |\n| CUMedNet | 0.9394 | 0.9454 |\n| U-Net | 0.9479 | 0.9542 |","| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",0]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |","| Bilinear-FC | 0.95 | 0.75 | 0.85 |\n| --- | --- | --- | --- |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",1]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |","| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| AverageFusion | 0.90 | 0.92 | 0.91 |\n| DempsterShaferFusion | 0.93 | 0.95 | 0.94 |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |\n| OrderlessBilinear | 0.87 | 0.90 | 0.88 |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",0]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |","| Bilinear-FC | 0.95 | 0.75 | 0.85 |\n| --- | --- | --- | --- |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",1]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |","| OP-Concatenation | 0.93 | 0.90 | 0.91 |\n| --- | --- | --- | --- |\n| OrderlessBilinear | 0.87 | 0.90 | 0.88 |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",0]
["|  | Model | FB15K<br>MRRHITS@10 | FB15K-237<br>MRRHITS@10 | WN18<br>MRRHITS@10 | NYT+FB<br>MRRHITS@10 |\n| --- | --- | --- | --- | --- | --- |\n| 1<br>2 | F<br>DM | 17.9423.82<br>44.7066.26 | 0.00.0<br>34.0752.93 | 0.190.24<br>75.9194.12 | 81.5193.67<br>62.4872.17 |\n| 3<br>4<br>5 | E+F(AS)<br>DM+F(AS)<br>DM+E+F(AS) | 26.2437.35<br>22.4135.81<br>29.8942.00 | 29.7144.39<br>19.8141.95<br>33.6549.26 | 1.604.04<br>41.5473.32<br>22.9239.26 | 82.4692.21<br>81.4893.47<br>81.4191.41 |","| 6<br>7 | DM+F(AL)<br>DM+F(RAL) | 37.6159.0<br>45.8167.64 | 26.7749.77<br>33.3853.24 | 73.9593.22<br>74.5593.46 | 82.2895.63<br>82.2895.63 |\n| --- | --- | --- | --- | --- | --- |\n| 8 | DM+F(Oracle) | 49.4269.00 | 34.0752.93 | 75.9594.16 | 86.0695.73 |",1]
["|  | Model | FB15K<br>MRRHITS@10 | FB15K-237<br>MRRHITS@10 | WN18<br>MRRHITS@10 | NYT+FB<br>MRRHITS@10 |\n| --- | --- | --- | --- | --- | --- |\n| 1<br>2 | F<br>DM | 17.9423.82<br>44.7066.26 | 0.00.0<br>34.0752.93 | 0.190.24<br>75.9194.12 | 81.5193.67<br>62.4872.17 |\n| 3<br>4<br>5 | E+F(AS)<br>DM+F(AS)<br>DM+E+F(AS) | 26.2437.35<br>22.4135.81<br>29.8942.00 | 29.7144.39<br>19.8141.95<br>33.6549.26 | 1.604.04<br>41.5473.32<br>22.9239.26 | 82.4692.21<br>81.4893.47<br>81.4191.41 |","| Index | σ0<br>Hp-valueCI2 | Index |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.727]0.667<br>1<0.01[0,0.419]0.384<br>1<0.01[0,0.424]0.389<br>1<0.01[0,0.237]0.217 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 |",0]
["|  | Model | FB15K<br>MRRHITS@10 | FB15K-237<br>MRRHITS@10 | WN18<br>MRRHITS@10 | NYT+FB<br>MRRHITS@10 |\n| --- | --- | --- | --- | --- | --- |\n| 1<br>2 | F<br>DM | 17.9423.82<br>44.7066.26 | 0.00.0<br>34.0752.93 | 0.190.24<br>75.9194.12 | 81.5193.67<br>62.4872.17 |","| 3<br>4<br>5 | E+F(AS)<br>DM+F(AS)<br>DM+E+F(AS) | 26.2437.35<br>22.4135.81<br>29.8942.00 | 29.7144.39<br>19.8141.95<br>33.6549.26 | 1.604.04<br>41.5473.32<br>22.9239.26 | 82.4692.21<br>81.4893.47<br>81.4191.41 |\n| --- | --- | --- | --- | --- | --- |\n| 6<br>7 | DM+F(AL)<br>DM+F(RAL) | 37.6159.0<br>45.8167.64 | 26.7749.77<br>33.3853.24 | 73.9593.22<br>74.5593.46 | 82.2895.63<br>82.2895.63 |\n| 8 | DM+F(Oracle) | 49.4269.00 | 34.0752.93 | 75.9594.16 | 86.0695.73 |",1]
["|  | Model | FB15K<br>MRRHITS@10 | FB15K-237<br>MRRHITS@10 | WN18<br>MRRHITS@10 | NYT+FB<br>MRRHITS@10 |\n| --- | --- | --- | --- | --- | --- |\n| 1<br>2 | F<br>DM | 17.9423.82<br>44.7066.26 | 0.00.0<br>34.0752.93 | 0.190.24<br>75.9194.12 | 81.5193.67<br>62.4872.17 |","| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.696]0.638<br>1<0.01[0,0.860]0.788<br>1<0.01[0,0.804]0.731<br>1<0.01[0,0.805]0.738 | WT5<br>WT6<br>A1<br>A2 |\n| --- | --- | --- |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.542]0.497<br>1<0.01[0,0.835]0.765<br>1<0.01[0,0.810]0.741<br>1<0.01[0,0.724]0.664 | WT5<br>WT6<br>A1<br>A2 |\n| WT1<br>WT2<br>WT3<br>WT4 | 1<0.01[0,0.729]0.630<br>1<0.01[0,0.929]0.802<br>1<0.01[0,0.916]0.791<br>1<0.01[0,0.933]0.833 | WT5<br>WT6<br>A1<br>A2 |",0]
["| Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- |\n| 1 | 50,634 | 1 | 18 | 19 |\n| 2 | 50,491 | 18 | 144 | 162 |\n| 3 | 49,807 | 144 | 702 | 846 |\n| 4 | 47,593 | 684 | 2,376 | 3,060 |","| 5 | 42,661 | 2,160 | 5,832 | 7,992 |\n| --- | --- | --- | --- | --- |\n| 6 | 35,425 | 4,752 | 10,476 | 15,228 |\n| 7 | 29,809 | 7,236 | 13,608 | 20,844 |\n| 8 | 31,861 | 7,128 | 11,664 | 18,792 |\n| 9 | 40,933 | 3,888 | 5,832 | 9,720 |\n| Total |  | 26,011 | 50,652 |  |",1]
["| Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- |\n| 1 | 50,634 | 1 | 18 | 19 |\n| 2 | 50,491 | 18 | 144 | 162 |\n| 3 | 49,807 | 144 | 702 | 846 |\n| 4 | 47,593 | 684 | 2,376 | 3,060 |","| Round | Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 50,646 | 1 | 6 | 7 |\n| 2 | 50,635 | 6 | 12 | 18 |  |\n| 3 | 50,623 | 12 | 18 | 30 |  |\n| 2 | 1 | 50,394 | 37 | 222 | 259 |\n| 2 | 49,987 | 222 | 444 | 666 |  |\n| 3 | 49,543 | 444 | 666 | 1,110 |  |\n| 3 | 1 | 41,070 | 1,369 | 8,214 | 9,583 |\n| 2 | 26,011 | 8,214 | 16,428 | 24,642 |  |\n| 3 | 9,583 | 16,428 | 24,642 | 41,070 |  |\n| Total | 12 |  | 26,733 | 50,652 |  |",0]
["| Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- |\n| 1 | 50,634 | 1 | 18 | 19 |\n| 2 | 50,491 | 18 | 144 | 162 |\n| 3 | 49,807 | 144 | 702 | 846 |\n| 4 | 47,593 | 684 | 2,376 | 3,060 |\n| 5 | 42,661 | 2,160 | 5,832 | 7,992 |\n| 6 | 35,425 | 4,752 | 10,476 | 15,228 |\n| 7 | 29,809 | 7,236 | 13,608 | 20,844 |\n| 8 | 31,861 | 7,128 | 11,664 | 18,792 |","| 9 | 40,933 | 3,888 | 5,832 | 9,720 |\n| --- | --- | --- | --- | --- |\n| Total |  | 26,011 | 50,652 |  |",1]
["| Step | Free | Sending | Receiving | Active |\n| --- | --- | --- | --- | --- |\n| 1 | 50,634 | 1 | 18 | 19 |\n| 2 | 50,491 | 18 | 144 | 162 |\n| 3 | 49,807 | 144 | 702 | 846 |\n| 4 | 47,593 | 684 | 2,376 | 3,060 |\n| 5 | 42,661 | 2,160 | 5,832 | 7,992 |\n| 6 | 35,425 | 4,752 | 10,476 | 15,228 |\n| 7 | 29,809 | 7,236 | 13,608 | 20,844 |\n| 8 | 31,861 | 7,128 | 11,664 | 18,792 |","| 2 | 1 | 50,394 | 37 | 222 | 259 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 49,987 | 222 | 444 | 666 |  |\n| 3 | 49,543 | 444 | 666 | 1,110 |  |\n| 3 | 1 | 41,070 | 1,369 | 8,214 | 9,583 |\n| 2 | 26,011 | 8,214 | 16,428 | 24,642 |  |\n| 3 | 9,583 | 16,428 | 24,642 | 41,070 |  |\n| Total | 12 |  | 26,733 | 50,652 |  |",0]
["|  | Rainyimages | GMM | SRCNN | DDN | JORDER |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |","| Rain100H | 0.38 | 13.56 | 0.43 | 15.05 | 0.70 | 22.84 | 0.76 | 21.92 | 0.83 | 26.54 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rain100L | 0.84 | 26.90 | 0.86 | 28.65 | 0.91 | 29.39 | 0.93 | 32.16 | 0.97 | 36.63 |\n| Rain12 | 0.86 | 30.14 | 0.91 | 32.02 | 0.92 | 31.90 | 0.94 | 31.76 | 0.95 | 33.92 |\n| Parameters# | - | - | 20,099 | 57,369 | 369,792 |  |  |  |  |  |",1]
["|  | Rainyimages | GMM | SRCNN | DDN | JORDER |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |","| ALF | MAP | LPA-ICI | GLDP | LLDO |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |\n| 22.36 | 0.66 | 23.33 | 0.74 | 24.17 | 0.76 | 24.58 | 0.78 | 25.01 | 0.80 | 27.63 |\n| 22.99 | 0.64 | 23.95 | 0.77 | 25.04 | 0.79 | 25.40 | 0.81 | 25.55 | 0.82 | 27.69 |\n| 21.82 | 0.62 | 22.63 | 0.72 | 23.14 | 0.72 | 23.66 | 0.77 | 24.17 | 0.78 | 26.35 |\n| 25.41 | 0.71 | 26.24 | 0.78 | 27.88 | 0.83 | 27.12 | 0.80 | 28.48 | 0.85 | 31.79 |\n| 22.14 | 0.64 | 22.46 | 0.69 | 24.12 | 0.77 | 23.86 | 0.75 | 24.61 | 0.80 | 27.27 |\n| 30.92 | 0.87 | 28.25 | 0.77 | 30.70 | 0.87 | 30.92 | 0.87 | 31.07 | 0.87 | 31.44 |",0]
["|  | Rainyimages | GMM | SRCNN | DDN | JORDER |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |","| Rain100H | 0.38 | 13.56 | 0.43 | 15.05 | 0.70 | 22.84 | 0.76 | 21.92 | 0.83 | 26.54 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rain100L | 0.84 | 26.90 | 0.86 | 28.65 | 0.91 | 29.39 | 0.93 | 32.16 | 0.97 | 36.63 |\n| Rain12 | 0.86 | 30.14 | 0.91 | 32.02 | 0.92 | 31.90 | 0.94 | 31.76 | 0.95 | 33.92 |\n| Parameters# | - | - | 20,099 | 57,369 | 369,792 |  |  |  |  |  |",1]
["|  | Rainyimages | GMM | SRCNN | DDN | JORDER |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |","| 22.14 | 0.64 | 22.46 | 0.69 | 24.12 | 0.77 | 23.86 | 0.75 | 24.61 | 0.80 | 27.27 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 30.92 | 0.87 | 28.25 | 0.77 | 30.70 | 0.87 | 30.92 | 0.87 | 31.07 | 0.87 | 31.44 |",0]
["| Phrase | v1Prob | v2Prob | v3Prob |\n| --- | --- | --- | --- |\n| ...al...↔...with... | 0.03 | 0.35 | 0.17 |\n| ...al...↔...au... | - | 0.65 | 0.62 |\n| ...en...↔...in... | 0.62 | 0.70 | - |\n| ...en...↔...with... | - | 0.30 | - |","| ...del...↔...ofthe... | 0.09 | 1.0 | 1.0 |\n| --- | --- | --- | --- |\n| ...ala...↔...with... | - | 0.82 | 0.77 |\n| ...ala...↔...a`la... | - | 0.18 | 0.12 |",1]
["| Phrase | v1Prob | v2Prob | v3Prob |\n| --- | --- | --- | --- |\n| ...al...↔...with... | 0.03 | 0.35 | 0.17 |\n| ...al...↔...au... | - | 0.65 | 0.62 |\n| ...en...↔...in... | 0.62 | 0.70 | - |\n| ...en...↔...with... | - | 0.30 | - |","| linguisticterm | level | 2-tuple |\n| --- | --- | --- |\n| NoAlcoholR | l(3,9) | 9<br>(s,0) |\n| YoungLegalLimitL | l(3,9) | (s,.0125) |\n| YoungLegalLimitR | l(5,33) | (s,.003) |\n| IntermediateL | l(5,33) | (s,0) |\n| IntermediateR | l(4,17) | (s,0) |\n| LegalLimitL | l(4,17) | (s,.005) |\n| LegalLimitR | l(1,3) | (s,−.07) |\n| RiskOfDeathR | l(1,3) | (s,0)1 |",0]
["| Phrase | v1Prob | v2Prob | v3Prob |\n| --- | --- | --- | --- |\n| ...al...↔...with... | 0.03 | 0.35 | 0.17 |\n| ...al...↔...au... | - | 0.65 | 0.62 |\n| ...en...↔...in... | 0.62 | 0.70 | - |","| ...en...↔...with... | - | 0.30 | - |\n| --- | --- | --- | --- |\n| ...del...↔...ofthe... | 0.09 | 1.0 | 1.0 |\n| ...ala...↔...with... | - | 0.82 | 0.77 |\n| ...ala...↔...a`la... | - | 0.18 | 0.12 |",1]
["| Phrase | v1Prob | v2Prob | v3Prob |\n| --- | --- | --- | --- |\n| ...al...↔...with... | 0.03 | 0.35 | 0.17 |\n| ...al...↔...au... | - | 0.65 | 0.62 |\n| ...en...↔...in... | 0.62 | 0.70 | - |","| LegalLimitL | l(4,17) | (s,.005) |\n| --- | --- | --- |\n| LegalLimitR | l(1,3) | (s,−.07) |\n| RiskOfDeathR | l(1,3) | (s,0)1 |",0]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 8.08<br>16.14<br>24.24<br>32.32<br>40.35<br>48.42<br>56.44<br>64.55<br>72.82<br>80.81 | 0.57<br>1.11<br>1.70<br>2.24<br>2.79<br>3.35<br>3.96<br>4.25<br>5.75<br>5.28 |","| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |\n| --- | --- | --- | --- | --- |\n| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |\n| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |",1]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 8.08<br>16.14<br>24.24<br>32.32<br>40.35<br>48.42<br>56.44<br>64.55<br>72.82<br>80.81 | 0.57<br>1.11<br>1.70<br>2.24<br>2.79<br>3.35<br>3.96<br>4.25<br>5.75<br>5.28 |","| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 11<br>11<br>11<br>11 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.89<br>1.00 | 0.50<br>4.99<br>49.85<br>497.92 | 0.00<br>0.01<br>0.22<br>1.18 |\n| 12<br>12<br>12<br>12 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.72<br>1.00 | 0.65<br>6.49<br>64.72<br>647.08 | 0.06<br>0.24<br>2.14<br>20.84 |\n| 13<br>13<br>13<br>13 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.41<br>1.00 | 0.82<br>7.92<br>80.08<br>798.90 | 0.15<br>0.28<br>7.90<br>70.81 |\n| 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |\n| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 |",0]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 8.08<br>16.14<br>24.24<br>32.32<br>40.35<br>48.42<br>56.44<br>64.55<br>72.82<br>80.81 | 0.57<br>1.11<br>1.70<br>2.24<br>2.79<br>3.35<br>3.96<br>4.25<br>5.75<br>5.28 |","| 8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8<br>8 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 11.05<br>22.18<br>33.35<br>44.45<br>55.93<br>67.20<br>78.49<br>89.29<br>100.11<br>110.73 | 0.74<br>1.47<br>2.42<br>3.01<br>4.47<br>5.68<br>6.44<br>6.95<br>6.56<br>5.72 |\n| --- | --- | --- | --- | --- |\n| 9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9<br>9 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 14.79<br>29.53<br>44.34<br>59.05<br>73.88<br>88.45<br>103.35<br>118.30<br>133.38<br>148.22 | 0.98<br>1.96<br>2.88<br>3.43<br>4.89<br>5.05<br>6.07<br>7.87<br>9.18<br>10.25 |\n| 10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10<br>10 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 0.99<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 19.40<br>38.81<br>58.13<br>77.29<br>96.43<br>115.80<br>135.03<br>154.55<br>173.59<br>193.07 | 1.53<br>3.02<br>4.21<br>5.23<br>5.55<br>6.77<br>7.83<br>10.13<br>9.64<br>11.72 |",1]
["| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7<br>7 | 10000<br>20000<br>30000<br>40000<br>50000<br>60000<br>70000<br>80000<br>90000<br>100000 | 1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00<br>1.00 | 8.08<br>16.14<br>24.24<br>32.32<br>40.35<br>48.42<br>56.44<br>64.55<br>72.82<br>80.81 | 0.57<br>1.11<br>1.70<br>2.24<br>2.79<br>3.35<br>3.96<br>4.25<br>5.75<br>5.28 |","| 13<br>13<br>13<br>13 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.41<br>1.00 | 0.82<br>7.92<br>80.08<br>798.90 | 0.15<br>0.28<br>7.90<br>70.81 |\n| --- | --- | --- | --- | --- |\n| 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |\n| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 |",0]
["| Algorithm | H.264 | JP2K |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |","| SSIM | 0.7674 | 0.5464 | 0.8843 | 0.7283 | 0.5974 | 0.9202 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MS-SSIM | 0.8795 | 0.6673 | 0.6955 | 0.9414 | 0.9299 | 0.4327 |\n| SBIQE | 0.0062 | 0.0058 | 1.9856 | 0.0120 | 0.0574 | 1.0289 |\n| BRISQUE | 0.7915 | 0.7637 | 0.7912 | 0.8048 | 0.8999 | 0.5687 |\n| NIQE | 0.6814 | 0.6412 | 0.8715 | 0.6558 | 0.6427 | 0.7157 |\n| STMAD | 0.7641 | 0.7354 | 0.7296 | 0.8388 | 0.7236 | 0.7136 |\n| FLOSIM | 0.9265 | 0.8987 | 0.4256 | 0.9665 | 0.9495 | 0.3359 |\n| Chenetal. | 0.6618 | 0.5720 | 0.6915 | 0.8723 | 0.8724 | 0.6182 |\n| STRIQE | 0.7430 | 0.7167 | 0.8433 | 0.8403 | 0.8175 | 0.5666 |\n| VQUEMODES(NIQE) | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |",1]
["| Algorithm | H.264 | JP2K |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |","|  | Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |\n| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |  |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |  |",0]
["| Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.7674 | 0.5464 | 0.8843 | 0.7283 | 0.5974 | 0.9202 |","| MS-SSIM | 0.8795 | 0.6673 | 0.6955 | 0.9414 | 0.9299 | 0.4327 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SBIQE | 0.0062 | 0.0058 | 1.9856 | 0.0120 | 0.0574 | 1.0289 |\n| BRISQUE | 0.7915 | 0.7637 | 0.7912 | 0.8048 | 0.8999 | 0.5687 |\n| NIQE | 0.6814 | 0.6412 | 0.8715 | 0.6558 | 0.6427 | 0.7157 |\n| STMAD | 0.7641 | 0.7354 | 0.7296 | 0.8388 | 0.7236 | 0.7136 |\n| FLOSIM | 0.9265 | 0.8987 | 0.4256 | 0.9665 | 0.9495 | 0.3359 |\n| Chenetal. | 0.6618 | 0.5720 | 0.6915 | 0.8723 | 0.8724 | 0.6182 |\n| STRIQE | 0.7430 | 0.7167 | 0.8433 | 0.8403 | 0.8175 | 0.5666 |\n| VQUEMODES(NIQE) | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |",1]
["| Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.7674 | 0.5464 | 0.8843 | 0.7283 | 0.5974 | 0.9202 |","| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |  |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |  |",0]
["| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |","| 400 | 4000 | 5.91GB |\n| --- | --- | --- |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",1]
["| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |\n| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |","| 600 | 6000 | 9.14GB |\n| --- | --- | --- |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",1]
["| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |","| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 3.194 | 8.356 |","| 0.2 | 3.959 | 59.589 |\n| --- | --- | --- |\n| 0.4 | 257.696 | 331.810 |\n| 0.6 | 389.301 | 421.305 |\n| 0.8 | 443.650 | 454.558 |",1]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 3.194 | 8.356 |","| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 0.1409 | 0.1184 |\n| 0.2 | 0.369 | 0.00386 |\n| 0.4 | 0.00016 | 0.00016 |\n| 0.6 | 0.00016 | 0.00012 |\n| 0.8 | 0.00016 | 8e-05 |",0]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 3.194 | 8.356 |","| 0.2 | 3.959 | 59.589 |\n| --- | --- | --- |\n| 0.4 | 257.696 | 331.810 |\n| 0.6 | 389.301 | 421.305 |\n| 0.8 | 443.650 | 454.558 |",1]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 3.194 | 8.356 |","| 0.4 | 0.00016 | 0.00016 |\n| --- | --- | --- |\n| 0.6 | 0.00016 | 0.00012 |\n| 0.8 | 0.00016 | 8e-05 |",0]
["| Node | Benchmark<br>(inGFlops) | CPU<br>(inGHz) | RAM<br>(inGB) |\n| --- | --- | --- | --- |\n| Mobile(small) | 1.09 | 1.3(Dual) | 1 |\n| Mobile(medium) | 1.24 | 1.4(Dual) | 1 |","| Cloudlet | 2.56 | 2.5(Quad) | 16 |\n| --- | --- | --- | --- |\n| Cloud(small) | 2.32 | 2.4(Single) | 1 |\n| Cloud(medium) | 2.94 | 2.8(Quad) | 7.5 |\n| Cloud(large) | 3.02 | 2.8(Octa) | 15 |",1]
["| Node | Benchmark<br>(inGFlops) | CPU<br>(inGHz) | RAM<br>(inGB) |\n| --- | --- | --- | --- |\n| Mobile(small) | 1.09 | 1.3(Dual) | 1 |\n| Mobile(medium) | 1.24 | 1.4(Dual) | 1 |","| MEM(GB) | CPU(units) | BW(G) | VM |\n| --- | --- | --- | --- |\n| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |\n| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |\n| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |\n| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",0]
["| Node | Benchmark<br>(inGFlops) | CPU<br>(inGHz) | RAM<br>(inGB) |\n| --- | --- | --- | --- |\n| Mobile(small) | 1.09 | 1.3(Dual) | 1 |\n| Mobile(medium) | 1.24 | 1.4(Dual) | 1 |\n| Cloudlet | 2.56 | 2.5(Quad) | 16 |","| Cloud(small) | 2.32 | 2.4(Single) | 1 |\n| --- | --- | --- | --- |\n| Cloud(medium) | 2.94 | 2.8(Quad) | 7.5 |\n| Cloud(large) | 3.02 | 2.8(Octa) | 15 |",1]
["| Node | Benchmark<br>(inGFlops) | CPU<br>(inGHz) | RAM<br>(inGB) |\n| --- | --- | --- | --- |\n| Mobile(small) | 1.09 | 1.3(Dual) | 1 |\n| Mobile(medium) | 1.24 | 1.4(Dual) | 1 |\n| Cloudlet | 2.56 | 2.5(Quad) | 16 |","| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| --- | --- | --- | --- |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |\n| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |\n| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",0]
["|  | ClusterSize | Benign | Vandal | Complement |\n| --- | --- | --- | --- | --- |\n| C1 | 2537 | 2448 | 89 | 0 |","| C2 | 2420 | 93 | 2327 | 0 |\n| --- | --- | --- | --- | --- |\n| C3 | 2840 | 0 | 0 | 2840 |\n| Isolated | 1203 | 459 | 584 | 160 |",1]
["|  | ClusterSize | Benign | Vandal | Complement |\n| --- | --- | --- | --- | --- |\n| C1 | 2537 | 2448 | 89 | 0 |","| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |\n| 3 | 31.8 | 36.2 |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["|  | ClusterSize | Benign | Vandal | Complement |\n| --- | --- | --- | --- | --- |\n| C1 | 2537 | 2448 | 89 | 0 |\n| C2 | 2420 | 93 | 2327 | 0 |","| C3 | 2840 | 0 | 0 | 2840 |\n| --- | --- | --- | --- | --- |\n| Isolated | 1203 | 459 | 584 | 160 |",1]
["|  | ClusterSize | Benign | Vandal | Complement |\n| --- | --- | --- | --- | --- |\n| C1 | 2537 | 2448 | 89 | 0 |\n| C2 | 2420 | 93 | 2327 | 0 |","| 5 | 32.3 | 37.2 |\n| --- | --- | --- |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["| S1:PersonalFeatures | S1:NNLabels | S2:GPInput | S2:Output |  |\n| --- | --- | --- | --- | --- |\n| NN-MV |  |  |  |  |\n| None | VAS,OPI | VAS,OPI | 2.32(0.25) | 2.56(0.12) |\n| VAS | 2.24(0.27) |  |  |  |\n| VAS | VAS | 2.30(0.26) | 2.82(0.05) |  |\n| 3rdNNlayer | VAS,OPI | VAS,OPI | 2.34(0.27) | 2.58(0.19) |","| VAS | 2.18(0.35) |  |  |  |\n| --- | --- | --- | --- | --- |\n| VAS | VAS | 2.24(0.25) | 2.65(0.17) |  |\n| NNinput | VAS,OPI | VAS,OPI | 2.41(0.23) | 2.48(0.14) |\n| VAS | 2.22(0.27) |  |  |  |\n| VAS | VAS | 2.22(0.30) | 2.53(0.18) |  |",1]
["| S1:PersonalFeatures | S1:NNLabels | S2:GPInput | S2:Output |  |\n| --- | --- | --- | --- | --- |\n| NN-MV |  |  |  |  |\n| None | VAS,OPI | VAS,OPI | 2.32(0.25) | 2.56(0.12) |\n| VAS | 2.24(0.27) |  |  |  |\n| VAS | VAS | 2.30(0.26) | 2.82(0.05) |  |\n| 3rdNNlayer | VAS,OPI | VAS,OPI | 2.34(0.27) | 2.58(0.19) |","| Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |\n| --- | --- | --- | --- |\n| conv1+pool | 89.01 | 12.95 | 0.02 |\n| ReLU | 52.07 | 0.46 | — |\n| conv2+ReLU | 87.96 | 11.12 | 0.13 |\n| conv3 | 77.46 | 11.85 | 0.13 |\n| conv4 | 83.56 | 5.49 | 0.02 |\n| add | 37.75 | 0.12 | — |\n| ReLU | 36.81 | 0.12 | — |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |\n| fully1 | 30.76 | 0.04 | 0.09 |\n| fully2 | 36.74 | 0.04 | 0.09 |",0]
["| S1:PersonalFeatures | S1:NNLabels | S2:GPInput | S2:Output |\n| --- | --- | --- | --- |\n| NN-MV |  |  |  |","| None | VAS,OPI | VAS,OPI | 2.32(0.25) | 2.56(0.12) |\n| --- | --- | --- | --- | --- |\n| VAS | 2.24(0.27) |  |  |  |\n| VAS | VAS | 2.30(0.26) | 2.82(0.05) |  |\n| 3rdNNlayer | VAS,OPI | VAS,OPI | 2.34(0.27) | 2.58(0.19) |\n| VAS | 2.18(0.35) |  |  |  |\n| VAS | VAS | 2.24(0.25) | 2.65(0.17) |  |\n| NNinput | VAS,OPI | VAS,OPI | 2.41(0.23) | 2.48(0.14) |\n| VAS | 2.22(0.27) |  |  |  |\n| VAS | VAS | 2.22(0.30) | 2.53(0.18) |  |",1]
["| S1:PersonalFeatures | S1:NNLabels | S2:GPInput | S2:Output |\n| --- | --- | --- | --- |\n| NN-MV |  |  |  |","| ReLU | 36.81 | 0.12 | — |\n| --- | --- | --- | --- |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |\n| fully1 | 30.76 | 0.04 | 0.09 |\n| fully2 | 36.74 | 0.04 | 0.09 |",0]
["|  | LassoDAG | DAG-W |\n| --- | --- | --- |\n| p | SensitivitySpeciﬁcity | SensitivitySpeciﬁcity |\n| 50 | 0.61561.0000 | 0.78280.9980 |\n| 100 | 0.4826∼1 | 0.75240.9977 |\n| 200 | 0.3969∼1 | 0.74050.9975 |\n| 500 | 0.2497∼1 | 0.65170.9982 |\n| 1000 | 0.17480.9991 | 0.42480.9971 |","| 1500 | 0.12260.9981 | 0.26720.9962 |\n| --- | --- | --- |\n| 2000 | 0.09890.9967 | 0.19440.9944 |",1]
["|  | LassoDAG | DAG-W |\n| --- | --- | --- |\n| p | SensitivitySpeciﬁcity | SensitivitySpeciﬁcity |\n| 50 | 0.61561.0000 | 0.78280.9980 |\n| 100 | 0.4826∼1 | 0.75240.9977 |\n| 200 | 0.3969∼1 | 0.74050.9975 |\n| 500 | 0.2497∼1 | 0.65170.9982 |\n| 1000 | 0.17480.9991 | 0.42480.9971 |","| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |\n| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["|  | LassoDAG | DAG-W |\n| --- | --- | --- |\n| p | SensitivitySpeciﬁcity | SensitivitySpeciﬁcity |\n| 50 | 0.61561.0000 | 0.78280.9980 |\n| 100 | 0.4826∼1 | 0.75240.9977 |\n| 200 | 0.3969∼1 | 0.74050.9975 |","| 500 | 0.2497∼1 | 0.65170.9982 |\n| --- | --- | --- |\n| 1000 | 0.17480.9991 | 0.42480.9971 |\n| 1500 | 0.12260.9981 | 0.26720.9962 |\n| 2000 | 0.09890.9967 | 0.19440.9944 |",1]
["|  | LassoDAG | DAG-W |\n| --- | --- | --- |\n| p | SensitivitySpeciﬁcity | SensitivitySpeciﬁcity |\n| 50 | 0.61561.0000 | 0.78280.9980 |\n| 100 | 0.4826∼1 | 0.75240.9977 |\n| 200 | 0.3969∼1 | 0.74050.9975 |","| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["| Comparisonmethodsonhandposeestimation | averagejointerror(mm) |\n| --- | --- |\n| RF | 24.81 |","| CNN | 18.82 |\n| --- | --- |\n| Tompsonet.al. | 21.00 |\n| Oberwegeret.al. | 20.00 |\n| Oberwegeret.al. | 16.50 |\n| Zhouet.al. | 16.90 |\n| Lie-X(w/omultipleinitialposes) | 20.50 |\n| Lie-X(w/olearnedmetric) | 16.72 |\n| Lie-X | 14.51 |",1]
["| Comparisonmethodsonhandposeestimation | averagejointerror(mm) |\n| --- | --- |\n| RF | 24.81 |","| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |\n| --- | --- | --- | --- | --- | --- |\n| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |\n| Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |\n| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",0]
["| Comparisonmethodsonhandposeestimation | averagejointerror(mm) |\n| --- | --- |\n| RF | 24.81 |\n| CNN | 18.82 |","| Tompsonet.al. | 21.00 |\n| --- | --- |\n| Oberwegeret.al. | 20.00 |\n| Oberwegeret.al. | 16.50 |\n| Zhouet.al. | 16.90 |\n| Lie-X(w/omultipleinitialposes) | 20.50 |\n| Lie-X(w/olearnedmetric) | 16.72 |\n| Lie-X | 14.51 |",1]
["| Comparisonmethodsonhandposeestimation | averagejointerror(mm) |\n| --- | --- |\n| RF | 24.81 |\n| CNN | 18.82 |","| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| --- | --- | --- | --- | --- | --- |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",0]
["| Surfaceexpression(Notincluding“wa”) | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | [Johnni(to)]shita(done). | 16 |","| Nounga(subject)/mo/da/nara/koso | Johnga(subject)shita(done). | 15 |\n| --- | --- | --- |\n| Nounwo(object)/ni/,/. | Johnni(object)shita(done). | 14 |\n| Nounhe(to)/de(in)/kara(from)/yori | gakkou(school)he(to)iku(go). | 13 |",1]
["| Surfaceexpression(Notincluding“wa”) | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | [Johnni(to)]shita(done). | 16 |","| Surfaceexpression | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | (Johnni(to))shita(done). | 16 |\n| Nounga(subject)/mo/da/nara | Johnga(subject)shita(do). | 15 |\n| Nounwo(object)/ni/,/. | Johnni(object)shita(do). | 14 |\n| Nounhe(to)/de(in)/kara(from) | gakkou(school)he(to)iku(go). | 13 |",0]
["| Surfaceexpression(Notincluding“wa”) | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | [Johnni(to)]shita(done). | 16 |","| Nounga(subject)/mo/da/nara/koso | Johnga(subject)shita(done). | 15 |\n| --- | --- | --- |\n| Nounwo(object)/ni/,/. | Johnni(object)shita(done). | 14 |\n| Nounhe(to)/de(in)/kara(from)/yori | gakkou(school)he(to)iku(go). | 13 |",1]
["| Surfaceexpression(Notincluding“wa”) | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | [Johnni(to)]shita(done). | 16 |","| Nounga(subject)/mo/da/nara | Johnga(subject)shita(do). | 15 |\n| --- | --- | --- |\n| Nounwo(object)/ni/,/. | Johnni(object)shita(do). | 14 |\n| Nounhe(to)/de(in)/kara(from) | gakkou(school)he(to)iku(go). | 13 |",0]
["| 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- |\n| 41 | 75 | 39 | 0 |\n| 87 | 95 | 88 | 0 |\n| 98 | 100 | 100 | 4 |","| 100 | 100 | 100 | 7 |\n| --- | --- | --- | --- |\n| 100 | 100 | 100 | 13 |",1]
["| 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- |\n| 41 | 75 | 39 | 0 |\n| 87 | 95 | 88 | 0 |\n| 98 | 100 | 100 | 4 |","| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- |\n| 41 | 75 | 39 | 0 |","| 87 | 95 | 88 | 0 |\n| --- | --- | --- | --- |\n| 98 | 100 | 100 | 4 |\n| 100 | 100 | 100 | 7 |\n| 100 | 100 | 100 | 13 |",1]
["| 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- |\n| 41 | 75 | 39 | 0 |","| 1 | 400 | 0.5 | 54.916 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| Generatingall<br>possibleparent<br>sets(Sec.) | Generatingparent<br>setswithasizelimit<br>of4(Sec.) |\n| --- | --- |\n| 0.011 | 1×10 |","| 0.017 | 1.29×10 |\n| --- | --- |\n| 0.065 | 1.66×10 |\n| 0.104 | 2.38×10 |\n| 0.195 | 2.86×10 |\n| 0.297 | 2.93×10 |\n| 0.645 | 4.04×10 |\n| 1.248 | 4.48×10 |\n| 3.425 | 5.43×10 |\n| 6.814 | 5.88×10 |\n| 12.185 | 7.51×10 |",1]
["| Generatingall<br>possibleparent<br>sets(Sec.) | Generatingparent<br>setswithasizelimit<br>of4(Sec.) |\n| --- | --- |\n| 0.011 | 1×10 |","| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| Generatingall<br>possibleparent<br>sets(Sec.) | Generatingparent<br>setswithasizelimit<br>of4(Sec.) |\n| --- | --- |\n| 0.011 | 1×10 |\n| 0.017 | 1.29×10 |\n| 0.065 | 1.66×10 |\n| 0.104 | 2.38×10 |\n| 0.195 | 2.86×10 |\n| 0.297 | 2.93×10 |","| 0.645 | 4.04×10 |\n| --- | --- |\n| 1.248 | 4.48×10 |\n| 3.425 | 5.43×10 |\n| 6.814 | 5.88×10 |\n| 12.185 | 7.51×10 |",1]
["| Generatingall<br>possibleparent<br>sets(Sec.) | Generatingparent<br>setswithasizelimit<br>of4(Sec.) |\n| --- | --- |\n| 0.011 | 1×10 |\n| 0.017 | 1.29×10 |\n| 0.065 | 1.66×10 |\n| 0.104 | 2.38×10 |\n| 0.195 | 2.86×10 |\n| 0.297 | 2.93×10 |","| 4 | 3.51×10 | 80 | 7.46×10 |\n| --- | --- | --- | --- |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.8192,162 | 0.6581,438 | 0.1983,789 | 0.0551,166 | 0.273131 |","| 3,000,0.3 | 0.46023,929 | 0.4544,108 | 0.1534,441 | 0.1082,787 | 0.215692 |\n| --- | --- | --- | --- | --- | --- |\n| 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 |\n| 1,000,0.5 | 0.9942,666 | 0.9161,128 | 0.4731,973 | 0.0681,166 | 0.329193 |\n| 3,000,0.5 | 0.9955,925 | 0.8153,853 | 0.2825,904 | 0.1132,787 | 0.230690 |\n| 10,000,0.5 | 0.99713,653 | 0.83212,449 | 0.30420,301 | 0.5329,587 | 0.2472,201 |\n| 1,000,0.9 | 12453 | 0.9975,761 | 0.8664,830 | 0.0671,156 | 0.363218 |\n| 3,000,0.9 | 114,784 | 0.98910,756 | 0.7689,262 | 0.1102,775 | 0.207592 |\n| 10,000,0.9 | 1254,357 | 0.99132,705 | 0.7823,2676 | 0.4709,543 | 0.2302,062 |\n| 1,000,1.0 | 11803 | 0.9971,939 | 0.9261,705 | 0.081754 | 0.371205 |\n| 3,000,1.0 | 15703 | 0.9858,018 | 0.8085,735 | 0.1341,986 | 0.237523 |\n| 10,000,1.0 | 112,343 | 0.98819,293 | 0.82618,565 | 0.6816,739 | 0.2601,838 |",1]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.8192,162 | 0.6581,438 | 0.1983,789 | 0.0551,166 | 0.273131 |","| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.9931,601 | 0.7981,552 | 0.2294,891 | 0.0721,396 | 0.256710 |\n| 3,000,0.3 | 0.9913,217 | 0.4845,075 | 0.1461,631 | 0.1193,299 | 0.1902,404 |\n| 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 |\n| 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 |\n| 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 |\n| 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |\n| 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 |\n| 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 |\n| 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 |\n| 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 |\n| 3,000,1.0 | 12,999 | 12,999 | 12,999 | 0.1543,000 | 13,000 |\n| 10,000,1.0 | 19,999 | 19,999 | 19,999 | 0.63410,000 | 110,000 |",0]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.8192,162 | 0.6581,438 | 0.1983,789 | 0.0551,166 | 0.273131 |\n| 3,000,0.3 | 0.46023,929 | 0.4544,108 | 0.1534,441 | 0.1082,787 | 0.215692 |\n| 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 |","| 1,000,0.5 | 0.9942,666 | 0.9161,128 | 0.4731,973 | 0.0681,166 | 0.329193 |\n| --- | --- | --- | --- | --- | --- |\n| 3,000,0.5 | 0.9955,925 | 0.8153,853 | 0.2825,904 | 0.1132,787 | 0.230690 |\n| 10,000,0.5 | 0.99713,653 | 0.83212,449 | 0.30420,301 | 0.5329,587 | 0.2472,201 |\n| 1,000,0.9 | 12453 | 0.9975,761 | 0.8664,830 | 0.0671,156 | 0.363218 |\n| 3,000,0.9 | 114,784 | 0.98910,756 | 0.7689,262 | 0.1102,775 | 0.207592 |\n| 10,000,0.9 | 1254,357 | 0.99132,705 | 0.7823,2676 | 0.4709,543 | 0.2302,062 |\n| 1,000,1.0 | 11803 | 0.9971,939 | 0.9261,705 | 0.081754 | 0.371205 |\n| 3,000,1.0 | 15703 | 0.9858,018 | 0.8085,735 | 0.1341,986 | 0.237523 |\n| 10,000,1.0 | 112,343 | 0.98819,293 | 0.82618,565 | 0.6816,739 | 0.2601,838 |",1]
["| #cls.,p | Polish0.07<br>acc.#cls. | Polish0.15<br>acc.#cls. | Polish0.3<br>acc.#cls. | Metis<br>acc.#cls. | DBscan<br>acc.#cls. |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.3 | 0.8192,162 | 0.6581,438 | 0.1983,789 | 0.0551,166 | 0.273131 |\n| 3,000,0.3 | 0.46023,929 | 0.4544,108 | 0.1534,441 | 0.1082,787 | 0.215692 |\n| 10,000,0.3 | 0.54324,965 | 0.4831,4053 | 0.1571,6940 | 0.5119,587 | 0.2272111 |","| 10,000,0.3 | 0.99311,088 | 0.57415,970 | 0.15310,169 | 0.30511,431 | 0.2037,868 |\n| --- | --- | --- | --- | --- | --- |\n| 1,000,0.5 | 0.9991,155 | 0.9981,026 | 0.6192,772 | 0.0651,396 | 0.381732 |\n| 3,000,0.5 | 14,273 | 0.9913,152 | 0.29910,375 | 0.1173,299 | 0.3152,380 |\n| 10,000,0.5 | 115,379 | 0.99310,390 | 0.35237,892 | 0.30211,431 | 0.3297,952 |\n| 1,000,0.9 | 11,173 | 13,364 | 12,929 | 0.0641,373 | 0.798785 |\n| 3,000,0.9 | 14,249 | 14,300 | 13,467 | 0.1143,277 | 0.8032,379 |\n| 10,000,0.9 | 114,585 | 117,472 | 113,106 | 0.30411,326 | 0.7997,843 |\n| 1,000,1.0 | 1999 | 1999 | 1999 | 0.0921,000 | 11,000 |\n| 3,000,1.0 | 12,999 | 12,999 | 12,999 | 0.1543,000 | 13,000 |\n| 10,000,1.0 | 19,999 | 19,999 | 19,999 | 0.63410,000 | 110,000 |",0]
["| Features | Dim | mAP-100 | mAP-5000 |\n| --- | --- | --- | --- |\n|  | 400 | 0.5503 | 0.33 |\n|  | 2000 | 0.6321 | - |\n|  | 247 | 0.7371 | 0.6189 |","| lstm-encoder | 400 | 0.7402(h1−h2)<br>0.8521(c1−c2) | 0.8521 |\n| --- | --- | --- | --- |\n|  | - | 0.6594 | 0.7095 |\n|  | - | 0.8583 | 0.872 |",1]
["| Features | Dim | mAP-100 | mAP-5000 |\n| --- | --- | --- | --- |\n|  | 400 | 0.5503 | 0.33 |\n|  | 2000 | 0.6321 | - |\n|  | 247 | 0.7371 | 0.6189 |","| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |\n| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| Features | Dim | mAP-100 | mAP-5000 |\n| --- | --- | --- | --- |\n|  | 400 | 0.5503 | 0.33 |\n|  | 2000 | 0.6321 | - |\n|  | 247 | 0.7371 | 0.6189 |\n| lstm-encoder | 400 | 0.7402(h1−h2)<br>0.8521(c1−c2) | 0.8521 |","|  | - | 0.6594 | 0.7095 |\n| --- | --- | --- | --- |\n|  | - | 0.8583 | 0.872 |",1]
["| Features | Dim | mAP-100 | mAP-5000 |\n| --- | --- | --- | --- |\n|  | 400 | 0.5503 | 0.33 |\n|  | 2000 | 0.6321 | - |\n|  | 247 | 0.7371 | 0.6189 |\n| lstm-encoder | 400 | 0.7402(h1−h2)<br>0.8521(c1−c2) | 0.8521 |","| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| name | ¡T¿ | STD(T) | ¡G¿ | STD(G) | succ. | ¡I¿ | STD(I) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p3000-1<br>p3000-2<br>p3000-3<br>p3000-4<br>p3000-5 | 292.89<br>280.17<br>313.99<br>368.17<br>323.24 | 135.37<br>124.55<br>153.08<br>148.97<br>142.11 | 0.03<br>0.01<br>0.03<br>0.04<br>0.03 | 0.03<br>0.01<br>0.02<br>0.01<br>0.01 | 40.62<br>18.75<br>15.62<br>3.12<br>0.00 | 5967.0<br>5614.8<br>6367.3<br>7423.2<br>6493.5 | 2770.8<br>2486.6<br>3080.9<br>2978.1<br>2843.6 |\n| p3000 | 315.69 | 144.39 | 0.03 | 0.02 | 15.62 | 6373.2 | 2903.9 |\n| p4000-1<br>p4000-2<br>p4000-3<br>p4000-4<br>p4000-5 | 599.18<br>466.75<br>544.72<br>403.19<br>564.33 | 143.46<br>187.62<br>151.48<br>210.82<br>184.65 | 0.02<br>0.05<br>0.04<br>0.02<br>0.06 | 0.03<br>0.02<br>0.02<br>0.02<br>0.02 | 43.75<br>6.25<br>0.00<br>40.62<br>0.00 | 10431.8<br>8018.7<br>9430.6<br>6996.3<br>9680.3 | 2481.5<br>3202.9<br>2619.2<br>3650.3<br>3147.6 |\n| p4000 | 515.63 | 191.05 | 0.04 | 0.03 | 18.12 | 8911.5 | 3290.8 |\n| p5000-1<br>p5000-2<br>p5000-3<br>p5000-4<br>p5000-5 | 773.82<br>614.80<br>623.26<br>783.66<br>774.58 | 276.58<br>263.88<br>251.04<br>228.80<br>211.93 | 0.06<br>0.04<br>0.07<br>0.07<br>0.05 | 0.03<br>0.02<br>0.03<br>0.03<br>0.02 | 0.00<br>0.00<br>3.12<br>0.00<br>0.00 | 11708.2<br>9254.3<br>9459.2<br>11714.3<br>11426.0 | 4163.0<br>3917.7<br>3739.8<br>3402.6<br>3088.7 |\n| p5000 | 714.02 | 259.46 | 0.06 | 0.03 | 0.62 | 10712.4 | 3846.7 |\n| p6000-1<br>p6000-2<br>p6000-3 | 1018.34<br>944.05<br>955.48 | 302.98<br>246.74<br>293.04 | 0.08<br>0.06<br>0.06 | 0.04<br>0.03<br>0.03 | 0.00<br>0.00<br>0.00 | 13584.2<br>12556.8<br>12813.8 | 3974.2<br>3255.0<br>3909.6 |","| p6000 | 972.62 | 283.87 | 0.07 | 0.03 | 0.00 | 12985.0 | 3752.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p7000-1<br>p7000-2<br>p7000-3 | 1215.57<br>1209.88<br>1179.84 | 362.55<br>371.84<br>337.17 | 0.06<br>0.07<br>0.09 | 0.02<br>0.02<br>0.02 | 0.00<br>0.00<br>0.00 | 14539.8<br>14574.3<br>14225.0 | 4285.1<br>4373.1<br>3940.6 |\n| p7000 | 1201.76 | 357.83 | 0.07 | 0.02 | 0.00 | 14446.4 | 4206.7 |",1]
["| name | ¡T¿ | STD(T) | ¡G¿ | STD(G) | succ. | ¡I¿ | STD(I) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p3000-1<br>p3000-2<br>p3000-3<br>p3000-4<br>p3000-5 | 292.89<br>280.17<br>313.99<br>368.17<br>323.24 | 135.37<br>124.55<br>153.08<br>148.97<br>142.11 | 0.03<br>0.01<br>0.03<br>0.04<br>0.03 | 0.03<br>0.01<br>0.02<br>0.01<br>0.01 | 40.62<br>18.75<br>15.62<br>3.12<br>0.00 | 5967.0<br>5614.8<br>6367.3<br>7423.2<br>6493.5 | 2770.8<br>2486.6<br>3080.9<br>2978.1<br>2843.6 |\n| p3000 | 315.69 | 144.39 | 0.03 | 0.02 | 15.62 | 6373.2 | 2903.9 |\n| p4000-1<br>p4000-2<br>p4000-3<br>p4000-4<br>p4000-5 | 599.18<br>466.75<br>544.72<br>403.19<br>564.33 | 143.46<br>187.62<br>151.48<br>210.82<br>184.65 | 0.02<br>0.05<br>0.04<br>0.02<br>0.06 | 0.03<br>0.02<br>0.02<br>0.02<br>0.02 | 43.75<br>6.25<br>0.00<br>40.62<br>0.00 | 10431.8<br>8018.7<br>9430.6<br>6996.3<br>9680.3 | 2481.5<br>3202.9<br>2619.2<br>3650.3<br>3147.6 |\n| p4000 | 515.63 | 191.05 | 0.04 | 0.03 | 18.12 | 8911.5 | 3290.8 |\n| p5000-1<br>p5000-2<br>p5000-3<br>p5000-4<br>p5000-5 | 773.82<br>614.80<br>623.26<br>783.66<br>774.58 | 276.58<br>263.88<br>251.04<br>228.80<br>211.93 | 0.06<br>0.04<br>0.07<br>0.07<br>0.05 | 0.03<br>0.02<br>0.03<br>0.03<br>0.02 | 0.00<br>0.00<br>3.12<br>0.00<br>0.00 | 11708.2<br>9254.3<br>9459.2<br>11714.3<br>11426.0 | 4163.0<br>3917.7<br>3739.8<br>3402.6<br>3088.7 |\n| p5000 | 714.02 | 259.46 | 0.06 | 0.03 | 0.62 | 10712.4 | 3846.7 |\n| p6000-1<br>p6000-2<br>p6000-3 | 1018.34<br>944.05<br>955.48 | 302.98<br>246.74<br>293.04 | 0.08<br>0.06<br>0.06 | 0.04<br>0.03<br>0.03 | 0.00<br>0.00<br>0.00 | 13584.2<br>12556.8<br>12813.8 | 3974.2<br>3255.0<br>3909.6 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| name | ¡T¿ | STD(T) | ¡G¿ | STD(G) | succ. | ¡I¿ | STD(I) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p3000-1<br>p3000-2<br>p3000-3<br>p3000-4<br>p3000-5 | 292.89<br>280.17<br>313.99<br>368.17<br>323.24 | 135.37<br>124.55<br>153.08<br>148.97<br>142.11 | 0.03<br>0.01<br>0.03<br>0.04<br>0.03 | 0.03<br>0.01<br>0.02<br>0.01<br>0.01 | 40.62<br>18.75<br>15.62<br>3.12<br>0.00 | 5967.0<br>5614.8<br>6367.3<br>7423.2<br>6493.5 | 2770.8<br>2486.6<br>3080.9<br>2978.1<br>2843.6 |\n| p3000 | 315.69 | 144.39 | 0.03 | 0.02 | 15.62 | 6373.2 | 2903.9 |\n| p4000-1<br>p4000-2<br>p4000-3<br>p4000-4<br>p4000-5 | 599.18<br>466.75<br>544.72<br>403.19<br>564.33 | 143.46<br>187.62<br>151.48<br>210.82<br>184.65 | 0.02<br>0.05<br>0.04<br>0.02<br>0.06 | 0.03<br>0.02<br>0.02<br>0.02<br>0.02 | 43.75<br>6.25<br>0.00<br>40.62<br>0.00 | 10431.8<br>8018.7<br>9430.6<br>6996.3<br>9680.3 | 2481.5<br>3202.9<br>2619.2<br>3650.3<br>3147.6 |\n| p4000 | 515.63 | 191.05 | 0.04 | 0.03 | 18.12 | 8911.5 | 3290.8 |\n| p5000-1<br>p5000-2<br>p5000-3<br>p5000-4<br>p5000-5 | 773.82<br>614.80<br>623.26<br>783.66<br>774.58 | 276.58<br>263.88<br>251.04<br>228.80<br>211.93 | 0.06<br>0.04<br>0.07<br>0.07<br>0.05 | 0.03<br>0.02<br>0.03<br>0.03<br>0.02 | 0.00<br>0.00<br>3.12<br>0.00<br>0.00 | 11708.2<br>9254.3<br>9459.2<br>11714.3<br>11426.0 | 4163.0<br>3917.7<br>3739.8<br>3402.6<br>3088.7 |\n| p5000 | 714.02 | 259.46 | 0.06 | 0.03 | 0.62 | 10712.4 | 3846.7 |\n| p6000-1<br>p6000-2<br>p6000-3 | 1018.34<br>944.05<br>955.48 | 302.98<br>246.74<br>293.04 | 0.08<br>0.06<br>0.06 | 0.04<br>0.03<br>0.03 | 0.00<br>0.00<br>0.00 | 13584.2<br>12556.8<br>12813.8 | 3974.2<br>3255.0<br>3909.6 |","| p6000 | 972.62 | 283.87 | 0.07 | 0.03 | 0.00 | 12985.0 | 3752.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p7000-1<br>p7000-2<br>p7000-3 | 1215.57<br>1209.88<br>1179.84 | 362.55<br>371.84<br>337.17 | 0.06<br>0.07<br>0.09 | 0.02<br>0.02<br>0.02 | 0.00<br>0.00<br>0.00 | 14539.8<br>14574.3<br>14225.0 | 4285.1<br>4373.1<br>3940.6 |\n| p7000 | 1201.76 | 357.83 | 0.07 | 0.02 | 0.00 | 14446.4 | 4206.7 |",1]
["| name | ¡T¿ | STD(T) | ¡G¿ | STD(G) | succ. | ¡I¿ | STD(I) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p3000-1<br>p3000-2<br>p3000-3<br>p3000-4<br>p3000-5 | 292.89<br>280.17<br>313.99<br>368.17<br>323.24 | 135.37<br>124.55<br>153.08<br>148.97<br>142.11 | 0.03<br>0.01<br>0.03<br>0.04<br>0.03 | 0.03<br>0.01<br>0.02<br>0.01<br>0.01 | 40.62<br>18.75<br>15.62<br>3.12<br>0.00 | 5967.0<br>5614.8<br>6367.3<br>7423.2<br>6493.5 | 2770.8<br>2486.6<br>3080.9<br>2978.1<br>2843.6 |\n| p3000 | 315.69 | 144.39 | 0.03 | 0.02 | 15.62 | 6373.2 | 2903.9 |\n| p4000-1<br>p4000-2<br>p4000-3<br>p4000-4<br>p4000-5 | 599.18<br>466.75<br>544.72<br>403.19<br>564.33 | 143.46<br>187.62<br>151.48<br>210.82<br>184.65 | 0.02<br>0.05<br>0.04<br>0.02<br>0.06 | 0.03<br>0.02<br>0.02<br>0.02<br>0.02 | 43.75<br>6.25<br>0.00<br>40.62<br>0.00 | 10431.8<br>8018.7<br>9430.6<br>6996.3<br>9680.3 | 2481.5<br>3202.9<br>2619.2<br>3650.3<br>3147.6 |\n| p4000 | 515.63 | 191.05 | 0.04 | 0.03 | 18.12 | 8911.5 | 3290.8 |\n| p5000-1<br>p5000-2<br>p5000-3<br>p5000-4<br>p5000-5 | 773.82<br>614.80<br>623.26<br>783.66<br>774.58 | 276.58<br>263.88<br>251.04<br>228.80<br>211.93 | 0.06<br>0.04<br>0.07<br>0.07<br>0.05 | 0.03<br>0.02<br>0.03<br>0.03<br>0.02 | 0.00<br>0.00<br>3.12<br>0.00<br>0.00 | 11708.2<br>9254.3<br>9459.2<br>11714.3<br>11426.0 | 4163.0<br>3917.7<br>3739.8<br>3402.6<br>3088.7 |\n| p5000 | 714.02 | 259.46 | 0.06 | 0.03 | 0.62 | 10712.4 | 3846.7 |\n| p6000-1<br>p6000-2<br>p6000-3 | 1018.34<br>944.05<br>955.48 | 302.98<br>246.74<br>293.04 | 0.08<br>0.06<br>0.06 | 0.04<br>0.03<br>0.03 | 0.00<br>0.00<br>0.00 | 13584.2<br>12556.8<br>12813.8 | 3974.2<br>3255.0<br>3909.6 |","| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| α0 | b0 | b1 | b2 | χ |\n| --- | --- | --- | --- | --- |\n| 0.1 | 1664 | 0 | 0 | 1664 |\n| 477 | 1 | 0 | 476 |  |\n| 5042 | 1 | 0 | 5041 |  |\n| 3491 | 2 | 0 | 3489 |  |\n| 0.2 | 4751 | 9 | 0 | 4742 |\n| 1330 | 10 | 0 | 1320 |  |\n| 18691 | 9 | 0 | 18682 |  |\n| 11779 | 60 | 0 | 11719 |  |\n| 0.3 | 6113 | 260 | 0 | 5853 |\n| 1606 | 110 | 0 | 1496 |  |\n| 32601 | 495 | 3 | 32109 |  |\n| 18757 | 997 | 12 | 17772 |  |\n| 0.4 | 1932 | 3682 | 3 | -1747 |\n| 487 | 1150 | 0 | -663 |  |\n| 20905 | 9355 | 329 | 11879 |  |\n| 12813 | 9455 | 391 | 3749 |  |\n| 0.5 | 245 | 11389 | 163 | -10981 |\n| 55 | 2995 | 29 | -2911 |  |\n| 4971 | 45256 | 4187 | -36098 |  |\n| 3713 | 28695 | 3324 | -21658 |  |\n| 0.6 | 18 | 8523 | 1434 | -7071 |\n| 1 | 1927 | 265 | -1661 |  |\n| 528 | 53806 | 18129 | -35149 |  |\n| 473 | 29870 | 11421 | -17976 |  |\n| 0.7 | 1 | 3133 | 4903 | 1771 |\n| 1 | 545 | 1045 | 501 |  |\n| 14 | 28988 | 29705 | 731 |  |\n| 31 | 15949 | 16832 | 914 |  |\n| 0.8 | 1 | 721 | 4132 | 3412 |\n| 1 | 92 | 974 | 883 |  |\n| 1 | 6658 | 17563 | 10906 |  |\n| 3 | 4216 | 10220 | 6007 |  |\n| 0.9 | 1 | 85 | 1488 | 1404 |\n| 1 | 6 | 389 | 384 |  |","| 1 | 637 | 4798 | 4162 |\n| --- | --- | --- | --- |\n| 1 | 608 | 3171 | 2564 |",1]
["| α0 | b0 | b1 | b2 | χ |\n| --- | --- | --- | --- | --- |\n| 0.1 | 1664 | 0 | 0 | 1664 |\n| 477 | 1 | 0 | 476 |  |\n| 5042 | 1 | 0 | 5041 |  |\n| 3491 | 2 | 0 | 3489 |  |\n| 0.2 | 4751 | 9 | 0 | 4742 |\n| 1330 | 10 | 0 | 1320 |  |\n| 18691 | 9 | 0 | 18682 |  |\n| 11779 | 60 | 0 | 11719 |  |\n| 0.3 | 6113 | 260 | 0 | 5853 |\n| 1606 | 110 | 0 | 1496 |  |\n| 32601 | 495 | 3 | 32109 |  |\n| 18757 | 997 | 12 | 17772 |  |\n| 0.4 | 1932 | 3682 | 3 | -1747 |\n| 487 | 1150 | 0 | -663 |  |\n| 20905 | 9355 | 329 | 11879 |  |\n| 12813 | 9455 | 391 | 3749 |  |\n| 0.5 | 245 | 11389 | 163 | -10981 |\n| 55 | 2995 | 29 | -2911 |  |\n| 4971 | 45256 | 4187 | -36098 |  |\n| 3713 | 28695 | 3324 | -21658 |  |\n| 0.6 | 18 | 8523 | 1434 | -7071 |\n| 1 | 1927 | 265 | -1661 |  |\n| 528 | 53806 | 18129 | -35149 |  |\n| 473 | 29870 | 11421 | -17976 |  |\n| 0.7 | 1 | 3133 | 4903 | 1771 |\n| 1 | 545 | 1045 | 501 |  |\n| 14 | 28988 | 29705 | 731 |  |\n| 31 | 15949 | 16832 | 914 |  |\n| 0.8 | 1 | 721 | 4132 | 3412 |\n| 1 | 92 | 974 | 883 |  |\n| 1 | 6658 | 17563 | 10906 |  |\n| 3 | 4216 | 10220 | 6007 |  |\n| 0.9 | 1 | 85 | 1488 | 1404 |\n| 1 | 6 | 389 | 384 |  |","| Alg. | H | AT | LWT | RWT |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |\n| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",0]
["| α0 | b0 | b1 | b2 | χ |\n| --- | --- | --- | --- | --- |\n| 0.1 | 1664 | 0 | 0 | 1664 |","| 477 | 1 | 0 | 476 |  |\n| --- | --- | --- | --- | --- |\n| 5042 | 1 | 0 | 5041 |  |\n| 3491 | 2 | 0 | 3489 |  |\n| 0.2 | 4751 | 9 | 0 | 4742 |\n| 1330 | 10 | 0 | 1320 |  |\n| 18691 | 9 | 0 | 18682 |  |\n| 11779 | 60 | 0 | 11719 |  |\n| 0.3 | 6113 | 260 | 0 | 5853 |\n| 1606 | 110 | 0 | 1496 |  |\n| 32601 | 495 | 3 | 32109 |  |\n| 18757 | 997 | 12 | 17772 |  |\n| 0.4 | 1932 | 3682 | 3 | -1747 |\n| 487 | 1150 | 0 | -663 |  |\n| 20905 | 9355 | 329 | 11879 |  |\n| 12813 | 9455 | 391 | 3749 |  |\n| 0.5 | 245 | 11389 | 163 | -10981 |\n| 55 | 2995 | 29 | -2911 |  |\n| 4971 | 45256 | 4187 | -36098 |  |\n| 3713 | 28695 | 3324 | -21658 |  |\n| 0.6 | 18 | 8523 | 1434 | -7071 |\n| 1 | 1927 | 265 | -1661 |  |\n| 528 | 53806 | 18129 | -35149 |  |\n| 473 | 29870 | 11421 | -17976 |  |\n| 0.7 | 1 | 3133 | 4903 | 1771 |\n| 1 | 545 | 1045 | 501 |  |\n| 14 | 28988 | 29705 | 731 |  |\n| 31 | 15949 | 16832 | 914 |  |\n| 0.8 | 1 | 721 | 4132 | 3412 |\n| 1 | 92 | 974 | 883 |  |\n| 1 | 6658 | 17563 | 10906 |  |\n| 3 | 4216 | 10220 | 6007 |  |\n| 0.9 | 1 | 85 | 1488 | 1404 |\n| 1 | 6 | 389 | 384 |  |\n| 1 | 637 | 4798 | 4162 |  |\n| 1 | 608 | 3171 | 2564 |  |",1]
["| α0 | b0 | b1 | b2 | χ |\n| --- | --- | --- | --- | --- |\n| 0.1 | 1664 | 0 | 0 | 1664 |","| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",0]
["| Algorithm | Additions | Multiplications |\n| --- | --- | --- |\n| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |","| IDMCG | 2M+10M−4 | 3M+12M+3 |\n| --- | --- | --- |\n| IncrementalLMS | 4M−1 | 3M+1 |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",1]
["| Algorithm | Additions | Multiplications |\n| --- | --- | --- |\n| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |","|  | Doubling | DoublingandAddition |\n| --- | --- | --- |\n| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp |\n| Algorithmin | kk1S+1Mpp<br>k=1.8Mp | kk1S+2Mpp<br>k=2.8Mp |\n| Algorithm?? | kk2S+2Mpp<br>k=3.6Mp | kk2S+4Mpp<br>k=5.6Mp |\n| Algorithm?? | kk2S+1Mpp<br>k=2.6Mp | kkk2S+2M=3.6M(line3)ppp<br>kkk2S+3M=4.6M(line4)ppp |",0]
["| Algorithm | Additions | Multiplications |\n| --- | --- | --- |\n| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |\n| IDMCG | 2M+10M−4 | 3M+12M+3 |","| IncrementalLMS | 4M−1 | 3M+1 |\n| --- | --- | --- |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",1]
["| Algorithm | Additions | Multiplications |\n| --- | --- | --- |\n| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |\n| IDMCG | 2M+10M−4 | 3M+12M+3 |","| Algorithm?? | kk2S+2Mpp<br>k=3.6Mp | kk2S+4Mpp<br>k=5.6Mp |\n| --- | --- | --- |\n| Algorithm?? | kk2S+1Mpp<br>k=2.6Mp | kkk2S+2M=3.6M(line3)ppp<br>kkk2S+3M=4.6M(line4)ppp |",0]
["|  | Stage1Classiﬁer | Stage3DeepLearningLayers |\n| --- | --- | --- |\n| TASK1 | LogisticRegression | [1013,528,128,2] |\n| TASK2 | NaiveBayes | [1319,256,32,2] |","| TASK3 | NaiveBayes | [1319,256,32,4] |\n| --- | --- | --- |\n| TASK4 | LogisticRegression | [281,64,64,2] |",1]
["|  | Stage1Classiﬁer | Stage3DeepLearningLayers |\n| --- | --- | --- |\n| TASK1 | LogisticRegression | [1013,528,128,2] |\n| TASK2 | NaiveBayes | [1319,256,32,2] |","| Stage | LayerType | Size |\n| --- | --- | --- |\n| ConvolutionStage1 | Conv | 32(5x5) |\n| Pooling | 2x2 |  |\n| ConvolutionStage2 | Conv | 256(5x5) |\n| Pooling | 2x2 |  |\n| FullyConnected | ReLU | 256 |\n| FeatureRepresentation | ReLU/Linear | 8 |\n| Output | Softmax | 10 |",0]
["|  | Stage1Classiﬁer | Stage3DeepLearningLayers |\n| --- | --- | --- |\n| TASK1 | LogisticRegression | [1013,528,128,2] |\n| TASK2 | NaiveBayes | [1319,256,32,2] |","| TASK3 | NaiveBayes | [1319,256,32,4] |\n| --- | --- | --- |\n| TASK4 | LogisticRegression | [281,64,64,2] |",1]
["|  | Stage1Classiﬁer | Stage3DeepLearningLayers |\n| --- | --- | --- |\n| TASK1 | LogisticRegression | [1013,528,128,2] |\n| TASK2 | NaiveBayes | [1319,256,32,2] |","| ConvolutionStage2 | Conv | 256(5x5) |\n| --- | --- | --- |\n| Pooling | 2x2 |  |\n| FullyConnected | ReLU | 256 |\n| FeatureRepresentation | ReLU/Linear | 8 |\n| Output | Softmax | 10 |",0]
["| patternp | ppppppppp123456789 | type | x(p) |\n| --- | --- | --- | --- |\n| p | 24-------- | T1 | 29/4956 |\n| p | 1212------- | 289/4956 |  |\n| p | 12-6------ | 11/826 |  |\n| p | -66------ | T2 | 15/413 |\n| p | -2244---- | 17/1239 |  |\n| p | -224-2--- | 34/1239 |  |\n| p | --424---- | T3 | 64/413 |\n| p | ---8----- | T4 | 55/1239 |\n| p | ---222--- | 74/1239 |  |\n| p | ---1114-- | 21/413 |  |","| p | ----1122- | T5 | 32/413 |\n| --- | --- | --- | --- |\n| p | ----114-- | 3/413 |  |\n| p | ----11111 | 29/413 |  |\n| p | -----211- | T6 | 128/413 |\n| p | ------111 | T7 | 96/413 |\n| p | -------11 | T8 | 96/413 |\n| p | --------1 | T9 | 192/413 |",1]
["| patternp | ppppppppp123456789 | type | x(p) |\n| --- | --- | --- | --- |\n| p | 24-------- | T1 | 29/4956 |\n| p | 1212------- | 289/4956 |  |\n| p | 12-6------ | 11/826 |  |\n| p | -66------ | T2 | 15/413 |\n| p | -2244---- | 17/1239 |  |\n| p | -224-2--- | 34/1239 |  |\n| p | --424---- | T3 | 64/413 |\n| p | ---8----- | T4 | 55/1239 |\n| p | ---222--- | 74/1239 |  |\n| p | ---1114-- | 21/413 |  |","| Portion | 1Annot. | 2Annot. | 3Annot. |\n| --- | --- | --- | --- |\n| 1-2400 | #08 | #01 | #04 |\n| 2401-4800 | #04 | #03 | #01 |\n| 4801-7200 | #01 | #04 | #08 |\n| 7201-9600 | #03 | #08 | #02 |\n| 9601-11185 | #06 | #05 | #03 |\n| 11186-12772 | #07 | #02 | #06 |",0]
["| patternp | ppppppppp123456789 | type | x(p) |\n| --- | --- | --- | --- |\n| p | 24-------- | T1 | 29/4956 |\n| p | 1212------- | 289/4956 |  |\n| p | 12-6------ | 11/826 |  |\n| p | -66------ | T2 | 15/413 |","| p | -2244---- | 17/1239 |  |\n| --- | --- | --- | --- |\n| p | -224-2--- | 34/1239 |  |\n| p | --424---- | T3 | 64/413 |\n| p | ---8----- | T4 | 55/1239 |\n| p | ---222--- | 74/1239 |  |\n| p | ---1114-- | 21/413 |  |\n| p | ----1122- | T5 | 32/413 |\n| p | ----114-- | 3/413 |  |\n| p | ----11111 | 29/413 |  |\n| p | -----211- | T6 | 128/413 |\n| p | ------111 | T7 | 96/413 |\n| p | -------11 | T8 | 96/413 |\n| p | --------1 | T9 | 192/413 |",1]
["| patternp | ppppppppp123456789 | type | x(p) |\n| --- | --- | --- | --- |\n| p | 24-------- | T1 | 29/4956 |\n| p | 1212------- | 289/4956 |  |\n| p | 12-6------ | 11/826 |  |\n| p | -66------ | T2 | 15/413 |","| 9601-11185 | #06 | #05 | #03 |\n| --- | --- | --- | --- |\n| 11186-12772 | #07 | #02 | #06 |",0]
["| Cross-DocumentCoreferenceResults |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Fmeasure | B | MUC | CEAFEe | CoNLL |\n| 1Iteration<br>2Iterations<br>3Iterations | 56<br>57.9<br>58.3 | 69.3<br>69.9<br>70.6 | 50.3<br>52.4<br>53.1 | 58.5<br>60.1<br>60.7 |","| Within-DocumentCoreferenceResults |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 1Iteration<br>2Iterations<br>3Iterations | 69.7<br>70.2<br>70.9 | 55.8<br>60.3<br>61.2 | 68.8<br>69.4<br>69.5 | 64.8<br>66.6<br>67.2 |",1]
["| Cross-DocumentCoreferenceResults |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Fmeasure | B | MUC | CEAFEe | CoNLL |\n| 1Iteration<br>2Iterations<br>3Iterations | 56<br>57.9<br>58.3 | 69.3<br>69.9<br>70.6 | 50.3<br>52.4<br>53.1 | 58.5<br>60.1<br>60.7 |","| Reference/System | PR | (P+R)/2F |\n| --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 |\n| ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 |\n| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",0]
["| Cross-DocumentCoreferenceResults |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Fmeasure | B | MUC | CEAFEe | CoNLL |","| 1Iteration<br>2Iterations<br>3Iterations | 56<br>57.9<br>58.3 | 69.3<br>69.9<br>70.6 | 50.3<br>52.4<br>53.1 | 58.5<br>60.1<br>60.7 |\n| --- | --- | --- | --- | --- |\n| Within-DocumentCoreferenceResults |  |  |  |  |\n| 1Iteration<br>2Iterations<br>3Iterations | 69.7<br>70.2<br>70.9 | 55.8<br>60.3<br>61.2 | 68.8<br>69.4<br>69.5 | 64.8<br>66.6<br>67.2 |",1]
["| Cross-DocumentCoreferenceResults |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Fmeasure | B | MUC | CEAFEe | CoNLL |","| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 |\n| --- | --- | --- |\n| ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |",0]
["| \\|A\\| |  |  |  |\n| --- | --- | --- | --- |\n| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |\n| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |\n| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |","| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 |\n| --- | --- | --- | --- |\n| 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 |\n| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |\n| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |\n| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |\n| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |\n| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |",1]
["| \\|A\\| |  |  |  |\n| --- | --- | --- | --- |\n| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |\n| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |\n| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |","| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| \\|A\\| |  |  |  |\n| --- | --- | --- | --- |\n| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |\n| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |\n| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |\n| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 |\n| 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 |\n| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |\n| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |","| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |\n| --- | --- | --- | --- |\n| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |\n| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |",1]
["| \\|A\\| |  |  |  |\n| --- | --- | --- | --- |\n| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |\n| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |\n| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |\n| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 |\n| 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 |\n| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |\n| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |","| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| Feature |\n| --- |\n| ResNet |","| P3DResNet(16-frame) |\n| --- |\n| P3DResNet(128-frame) |\n| P3DResNet(16-frame) |\n| - |",1]
["| Feature |\n| --- |\n| ResNet |","| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |\n| VGG16 | 224×224 | 10 |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| Feature |\n| --- |\n| ResNet |\n| P3DResNet(16-frame) |\n| P3DResNet(128-frame) |","| P3DResNet(16-frame) |\n| --- |\n| - |",1]
["| Feature |\n| --- |\n| ResNet |\n| P3DResNet(16-frame) |\n| P3DResNet(128-frame) |","| VGG16 | 224×224 | 10 |\n| --- | --- | --- |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |","| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| --- |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |","| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |","| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| --- |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |","| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| --- |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| literal.value | Thevalueofthereceived“literal” |","| f | Thetargethostcompletetheoperation |\n| --- | --- |\n| g | Thetargethostallocatesmemoryspace |\n| p | Thetargethosthasamemoryerror |",1]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| literal.value | Thevalueofthereceived“literal” |","| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |\n| p | theHTTPrequestcontains“n”andhexadecimal0x0a\\ |\n| attacked.xterm | ThetargetserverexecutesanXtermcommand |\n| attacked.telnet | Thetargetservergeneratesareversetelnetconnection |\n| telnet.port | Theportnumberofthereversetelnetconnection |",0]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| literal.value | Thevalueofthereceived“literal” |\n| f | Thetargethostcompletetheoperation |","| g | Thetargethostallocatesmemoryspace |\n| --- | --- |\n| p | Thetargethosthasamemoryerror |",1]
["| Atomicpropositions | Meaning/deﬁnition |\n| --- | --- |\n| literal.value | Thevalueofthereceived“literal” |\n| f | Thetargethostcompletetheoperation |","| attacked.telnet | Thetargetservergeneratesareversetelnetconnection |\n| --- | --- |\n| telnet.port | Theportnumberofthereversetelnetconnection |",0]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 |\n| 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 |\n| 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |","| 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |\n| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |",1]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 |\n| 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 |\n| 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 |\n| 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 |\n| 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |\n| 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |","| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |",1]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 |\n| 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 |\n| 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |\n| 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |","| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| Object | Action1Action2Action3Action4Action5 |\n| --- | --- |\n| Cup | DrinkMovePoundPourShake |\n|  | 0.0960.1220.1080.1070.110 |\n| Fork | EatHolePickScratchWhisk |\n|  | 0.1060.0900.0750.0940.100 |\n| Knife | ChopCutPokeScratchSpread |","|  | 0.1570.1550.1090.1230.110 |\n| --- | --- |\n| Sponge | FlipScratchSqueezeWashWipe |\n|  | 0.1010.1300.1120.1270.121 |",1]
["| Object | Action1Action2Action3Action4Action5 |\n| --- | --- |\n| Cup | DrinkMovePoundPourShake |\n|  | 0.0960.1220.1080.1070.110 |\n| Fork | EatHolePickScratchWhisk |\n|  | 0.1060.0900.0750.0940.100 |\n| Knife | ChopCutPokeScratchSpread |","| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 |\n| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |\n| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 |  |  |\n| SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |",0]
["| Object | Action1Action2Action3Action4Action5 |\n| --- | --- |\n| Cup | DrinkMovePoundPourShake |\n|  | 0.0960.1220.1080.1070.110 |\n| Fork | EatHolePickScratchWhisk |\n|  | 0.1060.0900.0750.0940.100 |","| Knife | ChopCutPokeScratchSpread |\n| --- | --- |\n|  | 0.1570.1550.1090.1230.110 |\n| Sponge | FlipScratchSqueezeWashWipe |\n|  | 0.1010.1300.1120.1270.121 |",1]
["| Object | Action1Action2Action3Action4Action5 |\n| --- | --- |\n| Cup | DrinkMovePoundPourShake |\n|  | 0.0960.1220.1080.1070.110 |\n| Fork | EatHolePickScratchWhisk |\n|  | 0.1060.0900.0750.0940.100 |","| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 |  |  |\n| SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |",0]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |","| SRAD | 24.82/0.686/0.465 | 25.42/0.738/0.489 | 26.92/0.790/0.570 | 28.25/0.819/0.639 |\n| --- | --- | --- | --- | --- |\n| DPAD | 24.78/0.681/0.473 | 25.48/0.735/0.499 | 27.00/0.789/0.577 | 28.29/0.818/0.643 |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",1]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |","|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Noisy | 12.95/0.223/0.148 | 17.42/0.378/0.255 | 19.59/0.460/0.322 | 21.61/0.535/0.393 |\n| PPBit | 23.78/0.590/0.346 | 25.95/0.713/0.487 | 26.95/0.763/0.549 | 27.86/0.803/0.602 |\n| SAR-BM3D | 24.85/0.676/0.455 | 27.12/0.776/0.605 | 28.27/0.818/0.669 | 29.35/0.852/0.723 |\n| FoE | 24.65/0.669/0.493 | 27.07/0.763/0.637 | 28.32/0.812/0.698 | 29.54/0.848/0.753 |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",0]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |","| SRAD | 24.82/0.686/0.465 | 25.42/0.738/0.489 | 26.92/0.790/0.570 | 28.25/0.819/0.639 |\n| --- | --- | --- | --- | --- |\n| DPAD | 24.78/0.681/0.473 | 25.48/0.735/0.499 | 27.00/0.789/0.577 | 28.29/0.818/0.643 |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",1]
["|  | L=1 | L=3 | L=5 | L=8 |\n| --- | --- | --- | --- | --- |\n|  | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC |\n| Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |","| FoE | 24.65/0.669/0.493 | 27.07/0.763/0.637 | 28.32/0.812/0.698 | 29.54/0.848/0.753 |\n| --- | --- | --- | --- | --- |\n| TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |",0]
["| Numbers | 5 | 50 | 80 |\n| --- | --- | --- | --- |\n| Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 |\n| Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 |\n| Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 |","| Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 |\n| --- | --- | --- | --- |\n| Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |",1]
["| Numbers | 5 | 50 | 80 |\n| --- | --- | --- | --- |\n| Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 |\n| Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 |\n| Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 |","| Numbers | 5 | 25 |\n| --- | --- | --- |\n| Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 |\n| Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 |\n| Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 |\n| Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 |\n| Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |",0]
["| Numbers | 5 | 50 | 80 |\n| --- | --- | --- | --- |\n| Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 |","| Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 |\n| --- | --- | --- | --- |\n| Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 |\n| Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 |\n| Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |",1]
["| Numbers | 5 | 50 | 80 |\n| --- | --- | --- | --- |\n| Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 |","| Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 |\n| --- | --- | --- |\n| Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 |\n| Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |",0]
["| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |","| Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |\n| Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |",1]
["| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |","| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 616 |  |  |  |  |  |  |  |  |  |\n| SpectralComponent | γ |  |  |  |  |  |  |  |  |  |",0]
["| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |\n| Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 |","| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |",1]
["| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |\n| Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 |","| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 616 |  |  |  |  |  |  |  |  |  |\n| SpectralComponent | γ |  |  |  |  |  |  |  |  |  |",0]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |","| Jungles | 12.28 | 7.43 |\n| --- | --- | --- |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",1]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |","| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |\n| Jungles | 12.28 | 7.43 |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",0]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |","| Deserts | 13.90 | 9.35 |\n| --- | --- | --- |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |\n| Jungles | 12.28 | 7.43 |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",1]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |","| Deserts | 13.90 | 9.35 |\n| --- | --- | --- |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |\n| Jungles | 12.28 | 7.43 |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",0]
["|  | \\|V\\| | \\|E\\| | Avg.degree | \\|L\\| | \\|R\\| |\n| --- | --- | --- | --- | --- | --- |\n| DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 |\n| MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |","| YELP | 37,342 | 178,519 | 9.56 | 4 | 3 |\n| --- | --- | --- | --- | --- | --- |\n| GAME | 6,909 | 7,754 | 2.24 | 4 | 3 |",1]
["|  | \\|V\\| | \\|E\\| | Avg.degree | \\|L\\| | \\|R\\| |\n| --- | --- | --- | --- | --- | --- |\n| DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 |\n| MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |","| V3 | V2 | V1 |\n| --- | --- | --- |\n| 54.5 | - | - |\n| 76.0 | - | - |\n| 74.2 | - | - |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |\n| 90.7 | 87.5 | 74.0 |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",0]
["|  | \\|V\\| | \\|E\\| | Avg.degree | \\|L\\| | \\|R\\| |\n| --- | --- | --- | --- | --- | --- |\n| DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 |\n| MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |","| YELP | 37,342 | 178,519 | 9.56 | 4 | 3 |\n| --- | --- | --- | --- | --- | --- |\n| GAME | 6,909 | 7,754 | 2.24 | 4 | 3 |",1]
["|  | \\|V\\| | \\|E\\| | Avg.degree | \\|L\\| | \\|R\\| |\n| --- | --- | --- | --- | --- | --- |\n| DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 |\n| MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |","| 90.7 | 87.5 | 74.0 |\n| --- | --- | --- |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",0]
["|  | DevTest |  |\n| --- | --- | --- |\n| Model | AccF1AccF1 | Time |\n| TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min |\n| Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |","| Bi-Attention(300dSim.MRU)<br>†<br>Bi-Attention(300dMRU) | 44.145.542.943.1<br>48.654.846.853.3 | ≈25sec<br>≈2min |\n| --- | --- | --- |\n| Bi-Attention(200dHybridMRU-LSTM) | 50.559.949.459.5 | ≈7min |",1]
["|  | DevTest |  |\n| --- | --- | --- |\n| Model | AccF1AccF1 | Time |\n| TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min |\n| Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |","| Methods | COCO |\n| --- | --- |\n| B-1B-2B-3B-4MC |  |\n| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 |\n| LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |\n| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |",0]
["|  | DevTest |  |\n| --- | --- | --- |\n| Model | AccF1AccF1 | Time |\n| TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min |\n| Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |","| Bi-Attention(300dSim.MRU)<br>†<br>Bi-Attention(300dMRU) | 44.145.542.943.1<br>48.654.846.853.3 | ≈25sec<br>≈2min |\n| --- | --- | --- |\n| Bi-Attention(200dHybridMRU-LSTM) | 50.559.949.459.5 | ≈7min |",1]
["|  | DevTest |  |\n| --- | --- | --- |\n| Model | AccF1AccF1 | Time |\n| TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min |\n| Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |","| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 |\n| --- | --- |\n| LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |\n| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |",0]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .64 |\n| JHU | .71 | .771 | .64 |","| I2R-CCNU-NTU-1 | .702 | .784 | .63 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-3 | .696 | .776 | .622 |",1]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .64 |\n| JHU | .71 | .771 | .64 |","| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .641 |\n| JHU | .702 | .763 | .632 |\n| I2R-CCNU-NTU-1 | .699 | .782 | .626 |\n| I2R-CCNU-NTU-3 | .694 | .775 | .62 |\n| KSDA | .71 | .807 | .619 |\n| AlexNet | .515 | .763 | .266 |",0]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .64 |","| JHU | .71 | .771 | .64 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-1 | .702 | .784 | .63 |\n| I2R-CCNU-NTU-3 | .696 | .776 | .622 |",1]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .64 |","| I2R-CCNU-NTU-3 | .694 | .775 | .62 |\n| --- | --- | --- | --- |\n| KSDA | .71 | .807 | .619 |\n| AlexNet | .515 | .763 | .266 |",0]
["| 81.46<br>81.89<br>81.58<br>82.45 |\n| --- |\n| 79.70<br>80.27<br>80.91 |","| 81.15 |\n| --- |\n| 69.19<br>74.70<br>75.80 |\n| 79.65<br>81.38 |",1]
["| 81.46<br>81.89<br>81.58<br>82.45 |\n| --- |\n| 79.70<br>80.27<br>80.91 |","| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |\n| 94.51<br>92.60 | 94.46<br>92.57 |\n| 0.236 | 0.239 |\n| 84.6 | 84.2 |",0]
["| 81.46<br>81.89<br>81.58<br>82.45 |\n| --- |\n| 79.70<br>80.27<br>80.91 |\n| 81.15 |","| 69.19<br>74.70<br>75.80 |\n| --- |\n| 79.65<br>81.38 |",1]
["| 81.46<br>81.89<br>81.58<br>82.45 |\n| --- |\n| 79.70<br>80.27<br>80.91 |\n| 81.15 |","| 0.236 | 0.239 |\n| --- | --- |\n| 84.6 | 84.2 |",0]
["| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall |\n| --- | --- | --- | --- | --- | --- |\n| Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |","| BING | COCO<br>DARK | 1000<br>1000 | 0.6457<br>0.4483 | 0.1439<br>0.1392 | 0.0006<br>0.0004 |\n| --- | --- | --- | --- | --- | --- |\n| Adobe<br>Boxes | COCO<br>DARK | 1000<br>999 | 1.6753<br>1.1039 | 0.3735<br>0.3428 | 0.0017<br>0.0011 |\n| Adobe<br>BING | COCO<br>DARK | 1000<br>1000 | 1.6010<br>1.0209 | 0.3569<br>0.3170 | 0.0016<br>0.0010 |",1]
["| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall |\n| --- | --- | --- | --- | --- | --- |\n| Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |","|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 1e-56* | - | - | - |\n| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |\n| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |\n| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |",0]
["| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall |\n| --- | --- | --- | --- | --- | --- |\n| Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |","| BING | COCO<br>DARK | 1000<br>1000 | 0.6457<br>0.4483 | 0.1439<br>0.1392 | 0.0006<br>0.0004 |\n| --- | --- | --- | --- | --- | --- |\n| Adobe<br>Boxes | COCO<br>DARK | 1000<br>999 | 1.6753<br>1.1039 | 0.3735<br>0.3428 | 0.0017<br>0.0011 |\n| Adobe<br>BING | COCO<br>DARK | 1000<br>1000 | 1.6010<br>1.0209 | 0.3569<br>0.3170 | 0.0016<br>0.0010 |",1]
["| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall |\n| --- | --- | --- | --- | --- | --- |\n| Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |","| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |\n| --- | --- | --- | --- | --- |\n| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |\n| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |",0]
["| Parameters | Values |\n| --- | --- |\n| Celllayout | Hexagonal,7cells,3sectorspercell |\n| BS-BSdistance | 2.8km |\n| FrequencyReuse | 1 |\n| p¯w | 49dBm |\n| PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w |\n| BER | 10 |","| TotalBandwidth | 10MHz |\n| --- | --- |\n| NoisePower | −169dBm/Hz |\n| MultipathTimeDelayProﬁle | ITU-RM.1225PedA |\n| Numberofchannel(FFTsize) | 64 |\n| LengthofIndividualMemory | M=10 |",1]
["| Parameters | Values |\n| --- | --- |\n| Celllayout | Hexagonal,7cells,3sectorspercell |\n| BS-BSdistance | 2.8km |\n| FrequencyReuse | 1 |\n| p¯w | 49dBm |\n| PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w |\n| BER | 10 |","| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Parameters | Values |\n| --- | --- |\n| Celllayout | Hexagonal,7cells,3sectorspercell |\n| BS-BSdistance | 2.8km |\n| FrequencyReuse | 1 |\n| p¯w | 49dBm |\n| PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w |\n| BER | 10 |","| TotalBandwidth | 10MHz |\n| --- | --- |\n| NoisePower | −169dBm/Hz |\n| MultipathTimeDelayProﬁle | ITU-RM.1225PedA |\n| Numberofchannel(FFTsize) | 64 |\n| LengthofIndividualMemory | M=10 |",1]
["| Parameters | Values |\n| --- | --- |\n| Celllayout | Hexagonal,7cells,3sectorspercell |\n| BS-BSdistance | 2.8km |\n| FrequencyReuse | 1 |\n| p¯w | 49dBm |\n| PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w |\n| BER | 10 |","| Bd | 300MHz | BandwidthofD2Dusers |\n| --- | --- | --- |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Dataset | Challenge | #Obj.class | Modality |\n| --- | --- | --- | --- |\n| LINEMOD | VP+C+TL | 15 | RGB-D |\n| Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D |\n| Occlusion(OCC) | VP+C+TL+SO | 8 | RGB-D |","| Bin-Picking(BIN-P) | VP+SC+SO+MI+BP | 2 | RGB-D |\n| --- | --- | --- | --- |\n| T-LESS | VP+C+TL+O+MI+SLD | 30 | RGB-D |",1]
["| Dataset | Challenge | #Obj.class | Modality |\n| --- | --- | --- | --- |\n| LINEMOD | VP+C+TL | 15 | RGB-D |\n| Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D |\n| Occlusion(OCC) | VP+C+TL+SO | 8 | RGB-D |","| TestInput | OurR-DML | B-DML | Supervisiontransfer |\n| --- | --- | --- | --- |\n| Total | 34.72 | 29.13 | 21.35 |\n| RGB+depth | 40.43 | 36.31 | 26.68 |\n| RGB(blank)+depth | 30.76 | 28.37 | 15.81 |\n| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |\n| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |\n| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |\n| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |\n| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |",0]
["| Dataset | Challenge | #Obj.class | Modality |\n| --- | --- | --- | --- |\n| LINEMOD | VP+C+TL | 15 | RGB-D |\n| Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D |","| Occlusion(OCC) | VP+C+TL+SO | 8 | RGB-D |\n| --- | --- | --- | --- |\n| Bin-Picking(BIN-P) | VP+SC+SO+MI+BP | 2 | RGB-D |\n| T-LESS | VP+C+TL+O+MI+SLD | 30 | RGB-D |",1]
["| Dataset | Challenge | #Obj.class | Modality |\n| --- | --- | --- | --- |\n| LINEMOD | VP+C+TL | 15 | RGB-D |\n| Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D |","| RGB(blank)+depth | 30.76 | 28.37 | 15.81 |\n| --- | --- | --- | --- |\n| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |\n| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |\n| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |\n| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |\n| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |",0]
["| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt |\n| --- | --- | --- |\n| 10 | .002838.000603 | .002398.000710 |\n| 10 | .018034.003995 | .009058.001744 |","| 10 | .597764.242391 | .092602.015238 |\n| --- | --- | --- |\n| 10 | 246.241147.727 | 2.13928.493422 |\n| 10 | 13661.19129.92 | 31.03115.36648 |\n| Bestﬁtoft=cn | c≈10,k≈2.025 | c≈2×10,k≈1.197 |",1]
["| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt |\n| --- | --- | --- |\n| 10 | .002838.000603 | .002398.000710 |\n| 10 | .018034.003995 | .009058.001744 |","| m | k | N | mmˆ |\n| --- | --- | --- | --- |\n| [-0.43290.32340.8415] | 12 | 100 | 0.9994 |\n| [-0.43290.32340.8415] | 12 | 1000 | 1.000 |\n| [-0.43290.32340.8415] | 12 | 2000 | 1.000 |\n| [-0.43290.32340.8415] | 4 | 1000 | 0.9998 |\n| [-0.416100.9093] | 8 | 100 | 0.9995 |\n| [-0.416100.9093] | 8 | 1000 | 0.9999 |\n| [-0.416100.9093] | 15 | 100 | 0.9997 |\n| [-0.416100.9093] | 15 | 1000 | 1.0000 |\n| [-0.41610.90930] | 8 | 100 | 0.9994 |\n| [-0.41610.90930] | 8 | 1000 | 0.9999 |\n| [-0.41610.90930] | 15 | 100 | 0.9999 |\n| [-0.41610.90930] | 15 | 1000 | 1.000 |",0]
["| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt |\n| --- | --- | --- |\n| 10 | .002838.000603 | .002398.000710 |\n| 10 | .018034.003995 | .009058.001744 |\n| 10 | .597764.242391 | .092602.015238 |\n| 10 | 246.241147.727 | 2.13928.493422 |","| 10 | 13661.19129.92 | 31.03115.36648 |\n| --- | --- | --- |\n| Bestﬁtoft=cn | c≈10,k≈2.025 | c≈2×10,k≈1.197 |",1]
["| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt |\n| --- | --- | --- |\n| 10 | .002838.000603 | .002398.000710 |\n| 10 | .018034.003995 | .009058.001744 |\n| 10 | .597764.242391 | .092602.015238 |\n| 10 | 246.241147.727 | 2.13928.493422 |","| [-0.416100.9093] | 8 | 100 | 0.9995 |\n| --- | --- | --- | --- |\n| [-0.416100.9093] | 8 | 1000 | 0.9999 |\n| [-0.416100.9093] | 15 | 100 | 0.9997 |\n| [-0.416100.9093] | 15 | 1000 | 1.0000 |\n| [-0.41610.90930] | 8 | 100 | 0.9994 |\n| [-0.41610.90930] | 8 | 1000 | 0.9999 |\n| [-0.41610.90930] | 15 | 100 | 0.9999 |\n| [-0.41610.90930] | 15 | 1000 | 1.000 |",0]
["|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |","| Totalnumberoftokens | 1,837,304 |\n| --- | --- |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",1]
["|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |","| Category | Numberoftokens |\n| --- | --- |\n| Avg.tokens | 22.2 |\n| Avg.entokens | 2.1 |\n| Avg.hitokens | 16.1 |\n| Avg.resttokens | 4.0 |",0]
["|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |","| Uniquetokens:tokensratio | 0.056 |\n| --- | --- |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",1]
["|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |","| Avg.entokens | 2.1 |\n| --- | --- |\n| Avg.hitokens | 16.1 |\n| Avg.resttokens | 4.0 |",0]
["| Dataset | InstancesAttributesClasses |\n| --- | --- |\n| artiﬁcial<br>audiology | 5109710<br>2266924 |\n| auto-mpg<br>autos | 39974<br>205257 |\n| balance-scale<br>balloons | 62643<br>7642 |\n| breast-cancer<br>bridges2 | 28692<br>108116 |\n| clean1<br>colic | 4761662<br>368222 |\n| credit-a<br>diabetes | 695152<br>76882 |\n| echocardiogram<br>ﬂag | 13282<br>194276 |\n| german<br>glass | 1000242<br>21497 |\n| hayes-roth<br>heart-c | 13243<br>303135 |\n| heart-h<br>heart-statlog | 294135<br>270132 |\n| hepatitis<br>kr-vs-kp | 155192<br>3196362 |\n| led24<br>led7 | 32002410<br>3200710 |\n| lymph<br>machine | 148184<br>20978 |\n| sonar<br>vehicle | 208602<br>848184 |","| vowel<br>wave21 | 9901311<br>5000213 |\n| --- | --- |\n| wave40<br>zoo | 5000403<br>104177 |",1]
["| Dataset | InstancesAttributesClasses |\n| --- | --- |\n| artiﬁcial<br>audiology | 5109710<br>2266924 |\n| auto-mpg<br>autos | 39974<br>205257 |\n| balance-scale<br>balloons | 62643<br>7642 |\n| breast-cancer<br>bridges2 | 28692<br>108116 |\n| clean1<br>colic | 4761662<br>368222 |\n| credit-a<br>diabetes | 695152<br>76882 |\n| echocardiogram<br>ﬂag | 13282<br>194276 |\n| german<br>glass | 1000242<br>21497 |\n| hayes-roth<br>heart-c | 13243<br>303135 |\n| heart-h<br>heart-statlog | 294135<br>270132 |\n| hepatitis<br>kr-vs-kp | 155192<br>3196362 |\n| led24<br>led7 | 32002410<br>3200710 |\n| lymph<br>machine | 148184<br>20978 |\n| sonar<br>vehicle | 208602<br>848184 |","|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |\n| Heart | 45 | 45 | 48 | 50 | 43 |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["| Dataset | InstancesAttributesClasses |\n| --- | --- |\n| artiﬁcial<br>audiology | 5109710<br>2266924 |\n| auto-mpg<br>autos | 39974<br>205257 |\n| balance-scale<br>balloons | 62643<br>7642 |\n| breast-cancer<br>bridges2 | 28692<br>108116 |\n| clean1<br>colic | 4761662<br>368222 |","| credit-a<br>diabetes | 695152<br>76882 |\n| --- | --- |\n| echocardiogram<br>ﬂag | 13282<br>194276 |\n| german<br>glass | 1000242<br>21497 |\n| hayes-roth<br>heart-c | 13243<br>303135 |\n| heart-h<br>heart-statlog | 294135<br>270132 |\n| hepatitis<br>kr-vs-kp | 155192<br>3196362 |\n| led24<br>led7 | 32002410<br>3200710 |\n| lymph<br>machine | 148184<br>20978 |\n| sonar<br>vehicle | 208602<br>848184 |\n| vowel<br>wave21 | 9901311<br>5000213 |\n| wave40<br>zoo | 5000403<br>104177 |",1]
["| Dataset | InstancesAttributesClasses |\n| --- | --- |\n| artiﬁcial<br>audiology | 5109710<br>2266924 |\n| auto-mpg<br>autos | 39974<br>205257 |\n| balance-scale<br>balloons | 62643<br>7642 |\n| breast-cancer<br>bridges2 | 28692<br>108116 |\n| clean1<br>colic | 4761662<br>368222 |","| Heart | 45 | 45 | 48 | 50 | 43 |\n| --- | --- | --- | --- | --- | --- |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["| Model | DeepMath1 | DeepMath2 | Unionof1and2 |\n| --- | --- | --- | --- |\n| Auto | 578 | 581 | 674 |\n| *WaveNet640 | 644 | 612 | 767 |","| *WaveNet256 | 692 | 712 | 864 |\n| --- | --- | --- | --- |\n| WaveNet640 | 629 | 685 | 997 |\n| *CNN | 905 | 812 | 1,057 |\n| CNN | 839 | 935 | 1,101 |\n| Total(unique) | 1,451 | 1,458 | 1,712 |",1]
["| Model | DeepMath1 | DeepMath2 | Unionof1and2 |\n| --- | --- | --- | --- |\n| Auto | 578 | 581 | 674 |\n| *WaveNet640 | 644 | 612 | 767 |","| Model | WERSWB | WERCH |  |  |\n| --- | --- | --- | --- | --- |\n| CE | ST | CE | ST |  |\n| CNN | 12.6 | 10.4 | 18.4 | 17.9 |\n| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |\n| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |\n| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",0]
["| Model | DeepMath1 | DeepMath2 | Unionof1and2 |\n| --- | --- | --- | --- |\n| Auto | 578 | 581 | 674 |\n| *WaveNet640 | 644 | 612 | 767 |","| *WaveNet256 | 692 | 712 | 864 |\n| --- | --- | --- | --- |\n| WaveNet640 | 629 | 685 | 997 |\n| *CNN | 905 | 812 | 1,057 |\n| CNN | 839 | 935 | 1,101 |\n| Total(unique) | 1,451 | 1,458 | 1,712 |",1]
["| Model | DeepMath1 | DeepMath2 | Unionof1and2 |\n| --- | --- | --- | --- |\n| Auto | 578 | 581 | 674 |\n| *WaveNet640 | 644 | 612 | 767 |","| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| --- | --- | --- | --- | --- |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |\n| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |\n| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",0]
["| Variable | Description |\n| --- | --- |\n| j | theidentiﬁeroftheneighbor |\n| tj | theageoftheneighbor |","| aj | theattributevalueoftheneighbor |\n| --- | --- |\n| rj | therandomvalueoftheneighbor |",1]
["| Variable | Description |\n| --- | --- |\n| j | theidentiﬁeroftheneighbor |\n| tj | theageoftheneighbor |","| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| Variable | Description |\n| --- | --- |\n| j | theidentiﬁeroftheneighbor |","| tj | theageoftheneighbor |\n| --- | --- |\n| aj | theattributevalueoftheneighbor |\n| rj | therandomvalueoftheneighbor |",1]
["| Variable | Description |\n| --- | --- |\n| j | theidentiﬁeroftheneighbor |","| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| --- | --- |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["|  | forward | backward | left | right | topleft | topright | bottomleft |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 |  |  |  |\n| 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 |  |  |  |","| 2u | 0.161595 | -0.17814 | 0.153376 | -0.16767 | 0.162906 | 0.105993 | -0.0211192 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2s | -0.0310265 | -0.0803484 | 0.0474505 | -0.00146299 | 0.0442916 | 0.0874981 | 0.00668849 |\n| 3u | 0.362801 | -0.2995 | 0.245916 | -0.178778 | 0.386421 | 0.0148849 | -0.00335653 |\n| 3s | -0.265834 | 0.146516 | 0.379665 | -0.272437 | 0.138805 | -0.2683 | 0.212331 |\n| 4u | 0.301472 | -0.281474 | 0.377787 | -0.320403 | 0.410212 | -0.119599 | 0.136309 |\n| 4s | -0.104719 | 0.0930068 | 0.327783 | -0.229091 | 0.175432 | -0.161819 | 0.323862 |\n| 5u | 0.360293 | -0.311692 | -0.253715 | 0.260426 | 0.0863029 | 0.495134 | -0.38137 |\n| 5s | -0.212823 | 0.0414435 | 0.0908994 | -0.124174 | 0.00414109 | -0.107462 | 0.122018 |\n| 6u | -0.0416432 | 0.0570847 | 0.210028 | -0.104113 | 0.0363181 | -0.0672399 | 0.0704143 |\n| 6s | -0.157148 | 0.178879 | 0.0880393 | -0.0718817 | -0.102579 | -0.298918 | 0.307328 |",1]
["|  | forward | backward | left | right | topleft | topright | bottomleft |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 |  |  |  |\n| 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 |  |  |  |","| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |\n| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |\n| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["|  | forward | backward | left | right | topleft | topright | bottomleft |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 |  |  |  |\n| 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 |  |  |  |","| 2u | 0.161595 | -0.17814 | 0.153376 | -0.16767 | 0.162906 | 0.105993 | -0.0211192 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2s | -0.0310265 | -0.0803484 | 0.0474505 | -0.00146299 | 0.0442916 | 0.0874981 | 0.00668849 |\n| 3u | 0.362801 | -0.2995 | 0.245916 | -0.178778 | 0.386421 | 0.0148849 | -0.00335653 |\n| 3s | -0.265834 | 0.146516 | 0.379665 | -0.272437 | 0.138805 | -0.2683 | 0.212331 |\n| 4u | 0.301472 | -0.281474 | 0.377787 | -0.320403 | 0.410212 | -0.119599 | 0.136309 |\n| 4s | -0.104719 | 0.0930068 | 0.327783 | -0.229091 | 0.175432 | -0.161819 | 0.323862 |\n| 5u | 0.360293 | -0.311692 | -0.253715 | 0.260426 | 0.0863029 | 0.495134 | -0.38137 |\n| 5s | -0.212823 | 0.0414435 | 0.0908994 | -0.124174 | 0.00414109 | -0.107462 | 0.122018 |\n| 6u | -0.0416432 | 0.0570847 | 0.210028 | -0.104113 | 0.0363181 | -0.0672399 | 0.0704143 |\n| 6s | -0.157148 | 0.178879 | 0.0880393 | -0.0718817 | -0.102579 | -0.298918 | 0.307328 |",1]
["|  | forward | backward | left | right | topleft | topright | bottomleft |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 |  |  |  |\n| 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 |  |  |  |","| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| --- | --- | --- | --- | --- |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite |\n| --- | --- | --- | --- |\n| 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |","| 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| --- | --- | --- | --- |\n| 103 | 10 | 89 | TLSRSAWITHAES128CBCSHA |\n| 372 | 155 | 3 | TLSECDHERSAWITHAES128GCMSHA256 |\n| 1152 | 225 | 52 | TLSRSAWITH3DESEDECBCSHA |\n| 275 | 128 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 564 | 118 | 16 | TLSRSAWITHRC4128SHA |\n| 1,200 | 323 | 4 | TLSRSAWITH3DESEDECBCSHA |\n| 218 | 90 | 0 | TLSECDHERSAWITHAES128GCMSHA256 |\n| 2,618 | 700 | 22 | TLSECDHERSAWITHAES256CBCSHA |\n| 205 | 26 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA |\n| 891 | 37 | 155 | TLSRSAWITHRC4128MD5 |\n| 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 |\n| 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 337 | 51 | 0 | TLSRSAWITHRC4128SHA |\n| 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 |\n| 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA |",1]
["| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite |\n| --- | --- | --- | --- |\n| 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |","| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |\n| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |\n| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 |\n| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |\n| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |",0]
["| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite |\n| --- | --- | --- | --- |\n| 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA |","| 103 | 10 | 89 | TLSRSAWITHAES128CBCSHA |\n| --- | --- | --- | --- |\n| 372 | 155 | 3 | TLSECDHERSAWITHAES128GCMSHA256 |\n| 1152 | 225 | 52 | TLSRSAWITH3DESEDECBCSHA |\n| 275 | 128 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 564 | 118 | 16 | TLSRSAWITHRC4128SHA |\n| 1,200 | 323 | 4 | TLSRSAWITH3DESEDECBCSHA |\n| 218 | 90 | 0 | TLSECDHERSAWITHAES128GCMSHA256 |\n| 2,618 | 700 | 22 | TLSECDHERSAWITHAES256CBCSHA |\n| 205 | 26 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA |\n| 891 | 37 | 155 | TLSRSAWITHRC4128MD5 |\n| 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 |\n| 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 337 | 51 | 0 | TLSRSAWITHRC4128SHA |\n| 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 |\n| 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA |",1]
["| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite |\n| --- | --- | --- | --- |\n| 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA |","| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |\n| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |",0]
["| TypeofLesion | Class |\n| --- | --- |\n| Healthy/NoLesionandBackground | 0 |\n| NecroticRegion | 1 |","| Edema | 2 |\n| --- | --- |\n| NonEnhancingTumor | 3 |\n| EnhancingTumor | 4 |",1]
["| TypeofLesion | Class |\n| --- | --- |\n| Healthy/NoLesionandBackground | 0 |\n| NecroticRegion | 1 |","| Class | Prec. | Sens. | Spec. | F1 |\n| --- | --- | --- | --- | --- |\n| Normal | 98.98 | 97.33 | 99.85 | 98.15 |\n| Cardiomegaly | 99.59 | 99.39 | 99.95 | 99.49 |\n| Medicaldevice | 98.52 | 94.34 | 99.27 | 96.39 |\n| Pleuraleﬀusion | 96.80 | 91.42 | 99.36 | 94.03 |\n| Pneumothorax | 77.07 | 96.88 | 98.05 | 85.85 |",0]
["| TypeofLesion | Class |\n| --- | --- |\n| Healthy/NoLesionandBackground | 0 |\n| NecroticRegion | 1 |\n| Edema | 2 |","| NonEnhancingTumor | 3 |\n| --- | --- |\n| EnhancingTumor | 4 |",1]
["| TypeofLesion | Class |\n| --- | --- |\n| Healthy/NoLesionandBackground | 0 |\n| NecroticRegion | 1 |\n| Edema | 2 |","| Medicaldevice | 98.52 | 94.34 | 99.27 | 96.39 |\n| --- | --- | --- | --- | --- |\n| Pleuraleﬀusion | 96.80 | 91.42 | 99.36 | 94.03 |\n| Pneumothorax | 77.07 | 96.88 | 98.05 | 85.85 |",0]
["|  | Accuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | α | β | Ave. | Best | Worst |\n| RMSProp | 0.001 | 0.9 | 92.86 | 97.95 | 84.79 |\n| 0.99 | 98.81 | 99.11 | 98.34 |  |  |\n|  | ρ | γ | Ave. | Best | Worst |","| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |\n| --- | --- | --- | --- | --- | --- |\n| 0.99 | 99.20 | 99.42 | 99.09 |  |  |",1]
["|  | Accuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | α | β | Ave. | Best | Worst |\n| RMSProp | 0.001 | 0.9 | 92.86 | 97.95 | 84.79 |\n| 0.99 | 98.81 | 99.11 | 98.34 |  |  |\n|  | ρ | γ | Ave. | Best | Worst |","|  | Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |\n| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |  |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |  |",0]
["|  | Accuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | α | β | Ave. | Best | Worst |\n| RMSProp | 0.001 | 0.9 | 92.86 | 97.95 | 84.79 |\n| 0.99 | 98.81 | 99.11 | 98.34 |  |  |","|  | ρ | γ | Ave. | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |\n| 0.99 | 99.20 | 99.42 | 99.09 |  |  |",1]
["|  | Accuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | α | β | Ave. | Best | Worst |\n| RMSProp | 0.001 | 0.9 | 92.86 | 97.95 | 84.79 |\n| 0.99 | 98.81 | 99.11 | 98.34 |  |  |","| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",0]
["| Signal | OutputRange |\n| --- | --- |\n| CHIRP | [-0.21,0.27] |\n| 20Hz | [-0.05,0.05] |","| 50Hz | [-0.17,0.17] |\n| --- | --- |\n| 70Hz | [-0.19,0.19] |\n| MULTISINE6 | [-0.34,0.62] |\n| MULTISINE3 | [-0.45,0.58] |",1]
["| Signal | OutputRange |\n| --- | --- |\n| CHIRP | [-0.21,0.27] |\n| 20Hz | [-0.05,0.05] |","| Signal | linear | 2-thorder | 3-thorder |\n| --- | --- | --- | --- |\n| CHIRP | 2.32E−05 | 2.25E−05 | 2.10E−05 |\n| 20Hz | 7.16E−05 | 6.96E−05 | 6.62E−05 |\n| 50Hz | 5.33E−04 | 0.000535 | 0.00053928 |\n| 70Hz | 0.0001184 | 0.0001142 | 0.0001132 |\n| MULTISINE6 | 0.0003404 | 0.000340 | 0.0003391 |\n| MULTISINE3 | 0.0023386 | 0.0022054 | 0.0020482 |",0]
["| Signal | OutputRange |\n| --- | --- |\n| CHIRP | [-0.21,0.27] |\n| 20Hz | [-0.05,0.05] |\n| 50Hz | [-0.17,0.17] |","| 70Hz | [-0.19,0.19] |\n| --- | --- |\n| MULTISINE6 | [-0.34,0.62] |\n| MULTISINE3 | [-0.45,0.58] |",1]
["| Signal | OutputRange |\n| --- | --- |\n| CHIRP | [-0.21,0.27] |\n| 20Hz | [-0.05,0.05] |\n| 50Hz | [-0.17,0.17] |","| MULTISINE6 | 0.0003404 | 0.000340 | 0.0003391 |\n| --- | --- | --- | --- |\n| MULTISINE3 | 0.0023386 | 0.0022054 | 0.0020482 |",0]
["| System | C-EErrors | C-NErrors |\n| --- | --- | --- |\n| MatMis | MatMis |  |","| NB | 79.8382.40 | 20.1717.60 |\n| --- | --- | --- |\n| CH | 99.7899.75 | 0.220.25 |\n| RC | 66.6768.50 | 33.3331.50 |\n| IS | 99.4099.81 | 0.600.19 |",1]
["| System | C-EErrors | C-NErrors |\n| --- | --- | --- |\n| MatMis | MatMis |  |","| Sys<br>tem | AdjSWAP<br>MatMis | KBSwap<br>MatMis | CNSwap<br>MatMis | FNSwap<br>MatMis |\n| --- | --- | --- | --- | --- |\n| NB | 43.042.9 | 47.747.9 | 51.149.8 | 49.749.6 |\n| CH | 68.2468.1 | 68.568.3 | 68.369.1 | 69.970.3 |\n| RC | 66.666.4 | 67.066.8 | 66.667.0 | 68.468.4 |\n| IS | 57.858.6 | 57.758.7 | 58.359.4 | 57.557.6 |",0]
["| System | C-EErrors | C-NErrors |\n| --- | --- | --- |\n| MatMis | MatMis |  |\n| NB | 79.8382.40 | 20.1717.60 |\n| CH | 99.7899.75 | 0.220.25 |","| RC | 66.6768.50 | 33.3331.50 |\n| --- | --- | --- |\n| IS | 99.4099.81 | 0.600.19 |",1]
["| System | C-EErrors | C-NErrors |\n| --- | --- | --- |\n| MatMis | MatMis |  |\n| NB | 79.8382.40 | 20.1717.60 |\n| CH | 99.7899.75 | 0.220.25 |","| CH | 68.2468.1 | 68.568.3 | 68.369.1 | 69.970.3 |\n| --- | --- | --- | --- | --- |\n| RC | 66.666.4 | 67.066.8 | 66.667.0 | 68.468.4 |\n| IS | 57.858.6 | 57.758.7 | 58.359.4 | 57.557.6 |",0]
["|  | 12cores | 60cores | 144cores | 300cores | 600cores | 1200cores | 2400cores |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freecell7 | 1.00 | 1.01 | 1.03 | 1.03 | 1.09 | 1.16 | 1.31 |\n| Logistics00-7-1 | 1.01 | 1.02 | 1.01 | 1.04 | 1.15 | 1.46 | 1.56 |\n| Logistics00-9-1 | 1.03 | 1.04 | 1.06 | 1.09 | 1.20 | 1.72 | 2.25 |\n| Mprime30 | 1.03 | 1.06 | 1.14 | 1.19 | 1.22 | 1.34 | 2.00 |","| Pegsol.p28 | 1.00 | 1.01 | 1.02 | 1.04 | 1.14 | 1.12 | 1.14 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PipesNoTank24 | 1.00 | 1.00 | 1.01 | 1.05 | 1.13 | 1.43 | 1.95 |\n| Probfcell-4-1 | 1.01 | 1.01 | 1.04 | 1.06 | 1.16 | 1.32 | 1.58 |\n| Rover6 | 1.00 | 1.02 | 1.02 | 1.04 | 1.06 | 1.11 | 1.29 |\n| Rover12 | 1.01 | 1.03 | 1.02 | 1.04 | 1.15 | 1.59 | 1.95 |\n| Sokoban.p24 | 1.01 | 1.02 | 1.03 | 1.03 | 1.02 | 1.03 | - |\n| Sokoban.p28 | 1.03 | 1.03 | 1.03 | 1.06 | 1.04 | 1.02 | - |\n| ZenoTravel11 | 1.00 | 1.02 | 1.04 | 1.11 | 1.40 | 2.37 | 2.75 |\n| DriverLog13 | - | 1.03 | 1.01 | 1.02 | 1.07 | 1.18 | 1.66 |\n| Freecell6 | - | 1.04 | 1.03 | 1.04 | 1.05 | 1.08 | 1.10 |\n| Logistics00-8-1 | - | 1.08 | 1.07 | 1.04 | 1.07 | 1.22 | 1.49 |\n| Logistics00-9-0 | - | 1.02 | 1.03 | 1.02 | 1.06 | 1.14 | 1.49 |\n| Mprime24 | - | 1.06 | 1.11 | 1.19 | 1.21 | 1.25 | 2.29 |\n| Pegsol.p29 | - | 1.01 | 1.02 | 1.02 | 1.06 | 1.10 | 1.15 |\n| Pegsol.p30 | - | 1.01 | 1.01 | 1.02 | 1.03 | 1.07 | 1.08 |\n| PipeNoTank18 | - | 1.00 | 1.00 | 1.00 | 1.02 | 1.06 | 1.42 |\n| PipesTank9 | - | 1.00 | 1.00 | 1.01 | 1.01 | 1.03 | 1.12 |\n| PipesTank10 | - | 1.00 | 1.00 | 1.01 | 1.04 | 1.05 | 1.22 |\n| Probfcell-5-3 | - | 1.00 | 1.04 | 1.04 | 1.06 | 1.06 | 1.09 |\n| Satellite7 | - | 1.03 | 1.03 | 1.06 | 1.06 | 1.14 | 1.28 |\n| Sokoban.p25 | - | 1.02 | 1.03 | 1.03 | 1.02 | 1.03 | - |\n| Sokoban.p26 | - | 1.02 | 1.03 | 1.04 | 1.04 | 1.02 | - |\n| Sokoban.p27 | - | 1.05 | 1.07 | 1.07 | 1.08 | 1.05 | - |\n| Depot16 | - | - | 1.02 | 1.04 | 1.01 | 1.01 | 1.10 |\n| Freecell11 | - | - | 1.05 | 1.02 | 1.04 | 1.05 | 1.07 |\n| Mprime15 | - | - | 1.17 | 1.21 | 1.17 | 1.19 | 1.38 |\n| PipeNoTank20 | - | - | 1.01 | 1.01 | 1.05 | 1.07 | 1.54 |\n| PipeNoTank32 | - | - | 1.00 | 1.01 | 1.02 | 1.04 | 1.41 |\n| PipesTank14 | - | - | 1.00 | 1.00 | 1.01 | 1.05 | 1.14 |\n| PipesTank22 | - | - | 1.01 | 1.00 | 1.02 | 1.02 | 1.10 |\n| Probfcell-5-1 | - | - | 1.01 | 1.02 | 1.01 | 1.02 | 1.05 |\n| Probfcell-5-2 | - | - | 1.04 | 1.03 | 1.05 | 1.07 | 1.08 |\n| Probfcell-5-4 | - | - | 1.05 | 1.06 | 1.05 | 1.05 | 1.09 |\n| Probfcell-5-5 | - | - | 1.02 | 1.03 | 1.04 | 1.04 | 1.07 |\n| ZenoTravel12 | - | - | 1.03 | 1.02 | 1.05 | 1.05 | 1.25 |\n| Freecell9 | - | - | - | 1.04 | 1.03 | 1.04 | 1.06 |\n| PipeNoTank33 | - | - | - | 1.00 | 1.01 | 1.02 | 1.08 |\n| PipeNoTank35 | - | - | - | 1.01 | 1.00 | 1.01 | 1.08 |\n| Freecell12 | - | - | - | - | 1.04 | 1.02 | 1.05 |\n| PipeNoTank25 | - | - | - | - | 1.01 | 1.02 | 1.08 |\n| PipeNoTank27 | - | - | - | - | 1.01 | 1.01 | 1.03 |\n| Average | 1.01 | 1.02 | 1.03 | 1.05 | 1.07 | 1.15 | 1.37 |",1]
["|  | 12cores | 60cores | 144cores | 300cores | 600cores | 1200cores | 2400cores |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freecell7 | 1.00 | 1.01 | 1.03 | 1.03 | 1.09 | 1.16 | 1.31 |\n| Logistics00-7-1 | 1.01 | 1.02 | 1.01 | 1.04 | 1.15 | 1.46 | 1.56 |\n| Logistics00-9-1 | 1.03 | 1.04 | 1.06 | 1.09 | 1.20 | 1.72 | 2.25 |\n| Mprime30 | 1.03 | 1.06 | 1.14 | 1.19 | 1.22 | 1.34 | 2.00 |","| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["|  | 12cores | 60cores | 144cores | 300cores | 600cores | 1200cores | 2400cores |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freecell7 | 1.00 | 1.01 | 1.03 | 1.03 | 1.09 | 1.16 | 1.31 |\n| Logistics00-7-1 | 1.01 | 1.02 | 1.01 | 1.04 | 1.15 | 1.46 | 1.56 |\n| Logistics00-9-1 | 1.03 | 1.04 | 1.06 | 1.09 | 1.20 | 1.72 | 2.25 |\n| Mprime30 | 1.03 | 1.06 | 1.14 | 1.19 | 1.22 | 1.34 | 2.00 |\n| Pegsol.p28 | 1.00 | 1.01 | 1.02 | 1.04 | 1.14 | 1.12 | 1.14 |\n| PipesNoTank24 | 1.00 | 1.00 | 1.01 | 1.05 | 1.13 | 1.43 | 1.95 |\n| Probfcell-4-1 | 1.01 | 1.01 | 1.04 | 1.06 | 1.16 | 1.32 | 1.58 |\n| Rover6 | 1.00 | 1.02 | 1.02 | 1.04 | 1.06 | 1.11 | 1.29 |\n| Rover12 | 1.01 | 1.03 | 1.02 | 1.04 | 1.15 | 1.59 | 1.95 |\n| Sokoban.p24 | 1.01 | 1.02 | 1.03 | 1.03 | 1.02 | 1.03 | - |\n| Sokoban.p28 | 1.03 | 1.03 | 1.03 | 1.06 | 1.04 | 1.02 | - |\n| ZenoTravel11 | 1.00 | 1.02 | 1.04 | 1.11 | 1.40 | 2.37 | 2.75 |\n| DriverLog13 | - | 1.03 | 1.01 | 1.02 | 1.07 | 1.18 | 1.66 |\n| Freecell6 | - | 1.04 | 1.03 | 1.04 | 1.05 | 1.08 | 1.10 |\n| Logistics00-8-1 | - | 1.08 | 1.07 | 1.04 | 1.07 | 1.22 | 1.49 |\n| Logistics00-9-0 | - | 1.02 | 1.03 | 1.02 | 1.06 | 1.14 | 1.49 |\n| Mprime24 | - | 1.06 | 1.11 | 1.19 | 1.21 | 1.25 | 2.29 |\n| Pegsol.p29 | - | 1.01 | 1.02 | 1.02 | 1.06 | 1.10 | 1.15 |\n| Pegsol.p30 | - | 1.01 | 1.01 | 1.02 | 1.03 | 1.07 | 1.08 |\n| PipeNoTank18 | - | 1.00 | 1.00 | 1.00 | 1.02 | 1.06 | 1.42 |\n| PipesTank9 | - | 1.00 | 1.00 | 1.01 | 1.01 | 1.03 | 1.12 |\n| PipesTank10 | - | 1.00 | 1.00 | 1.01 | 1.04 | 1.05 | 1.22 |\n| Probfcell-5-3 | - | 1.00 | 1.04 | 1.04 | 1.06 | 1.06 | 1.09 |\n| Satellite7 | - | 1.03 | 1.03 | 1.06 | 1.06 | 1.14 | 1.28 |\n| Sokoban.p25 | - | 1.02 | 1.03 | 1.03 | 1.02 | 1.03 | - |\n| Sokoban.p26 | - | 1.02 | 1.03 | 1.04 | 1.04 | 1.02 | - |\n| Sokoban.p27 | - | 1.05 | 1.07 | 1.07 | 1.08 | 1.05 | - |\n| Depot16 | - | - | 1.02 | 1.04 | 1.01 | 1.01 | 1.10 |\n| Freecell11 | - | - | 1.05 | 1.02 | 1.04 | 1.05 | 1.07 |\n| Mprime15 | - | - | 1.17 | 1.21 | 1.17 | 1.19 | 1.38 |\n| PipeNoTank20 | - | - | 1.01 | 1.01 | 1.05 | 1.07 | 1.54 |\n| PipeNoTank32 | - | - | 1.00 | 1.01 | 1.02 | 1.04 | 1.41 |\n| PipesTank14 | - | - | 1.00 | 1.00 | 1.01 | 1.05 | 1.14 |\n| PipesTank22 | - | - | 1.01 | 1.00 | 1.02 | 1.02 | 1.10 |","| Probfcell-5-1 | - | - | 1.01 | 1.02 | 1.01 | 1.02 | 1.05 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Probfcell-5-2 | - | - | 1.04 | 1.03 | 1.05 | 1.07 | 1.08 |\n| Probfcell-5-4 | - | - | 1.05 | 1.06 | 1.05 | 1.05 | 1.09 |\n| Probfcell-5-5 | - | - | 1.02 | 1.03 | 1.04 | 1.04 | 1.07 |\n| ZenoTravel12 | - | - | 1.03 | 1.02 | 1.05 | 1.05 | 1.25 |\n| Freecell9 | - | - | - | 1.04 | 1.03 | 1.04 | 1.06 |\n| PipeNoTank33 | - | - | - | 1.00 | 1.01 | 1.02 | 1.08 |\n| PipeNoTank35 | - | - | - | 1.01 | 1.00 | 1.01 | 1.08 |\n| Freecell12 | - | - | - | - | 1.04 | 1.02 | 1.05 |\n| PipeNoTank25 | - | - | - | - | 1.01 | 1.02 | 1.08 |\n| PipeNoTank27 | - | - | - | - | 1.01 | 1.01 | 1.03 |\n| Average | 1.01 | 1.02 | 1.03 | 1.05 | 1.07 | 1.15 | 1.37 |",1]
["|  | 12cores | 60cores | 144cores | 300cores | 600cores | 1200cores | 2400cores |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freecell7 | 1.00 | 1.01 | 1.03 | 1.03 | 1.09 | 1.16 | 1.31 |\n| Logistics00-7-1 | 1.01 | 1.02 | 1.01 | 1.04 | 1.15 | 1.46 | 1.56 |\n| Logistics00-9-1 | 1.03 | 1.04 | 1.06 | 1.09 | 1.20 | 1.72 | 2.25 |\n| Mprime30 | 1.03 | 1.06 | 1.14 | 1.19 | 1.22 | 1.34 | 2.00 |\n| Pegsol.p28 | 1.00 | 1.01 | 1.02 | 1.04 | 1.14 | 1.12 | 1.14 |\n| PipesNoTank24 | 1.00 | 1.00 | 1.01 | 1.05 | 1.13 | 1.43 | 1.95 |\n| Probfcell-4-1 | 1.01 | 1.01 | 1.04 | 1.06 | 1.16 | 1.32 | 1.58 |\n| Rover6 | 1.00 | 1.02 | 1.02 | 1.04 | 1.06 | 1.11 | 1.29 |\n| Rover12 | 1.01 | 1.03 | 1.02 | 1.04 | 1.15 | 1.59 | 1.95 |\n| Sokoban.p24 | 1.01 | 1.02 | 1.03 | 1.03 | 1.02 | 1.03 | - |\n| Sokoban.p28 | 1.03 | 1.03 | 1.03 | 1.06 | 1.04 | 1.02 | - |\n| ZenoTravel11 | 1.00 | 1.02 | 1.04 | 1.11 | 1.40 | 2.37 | 2.75 |\n| DriverLog13 | - | 1.03 | 1.01 | 1.02 | 1.07 | 1.18 | 1.66 |\n| Freecell6 | - | 1.04 | 1.03 | 1.04 | 1.05 | 1.08 | 1.10 |\n| Logistics00-8-1 | - | 1.08 | 1.07 | 1.04 | 1.07 | 1.22 | 1.49 |\n| Logistics00-9-0 | - | 1.02 | 1.03 | 1.02 | 1.06 | 1.14 | 1.49 |\n| Mprime24 | - | 1.06 | 1.11 | 1.19 | 1.21 | 1.25 | 2.29 |\n| Pegsol.p29 | - | 1.01 | 1.02 | 1.02 | 1.06 | 1.10 | 1.15 |\n| Pegsol.p30 | - | 1.01 | 1.01 | 1.02 | 1.03 | 1.07 | 1.08 |\n| PipeNoTank18 | - | 1.00 | 1.00 | 1.00 | 1.02 | 1.06 | 1.42 |\n| PipesTank9 | - | 1.00 | 1.00 | 1.01 | 1.01 | 1.03 | 1.12 |\n| PipesTank10 | - | 1.00 | 1.00 | 1.01 | 1.04 | 1.05 | 1.22 |\n| Probfcell-5-3 | - | 1.00 | 1.04 | 1.04 | 1.06 | 1.06 | 1.09 |\n| Satellite7 | - | 1.03 | 1.03 | 1.06 | 1.06 | 1.14 | 1.28 |\n| Sokoban.p25 | - | 1.02 | 1.03 | 1.03 | 1.02 | 1.03 | - |\n| Sokoban.p26 | - | 1.02 | 1.03 | 1.04 | 1.04 | 1.02 | - |\n| Sokoban.p27 | - | 1.05 | 1.07 | 1.07 | 1.08 | 1.05 | - |\n| Depot16 | - | - | 1.02 | 1.04 | 1.01 | 1.01 | 1.10 |\n| Freecell11 | - | - | 1.05 | 1.02 | 1.04 | 1.05 | 1.07 |\n| Mprime15 | - | - | 1.17 | 1.21 | 1.17 | 1.19 | 1.38 |\n| PipeNoTank20 | - | - | 1.01 | 1.01 | 1.05 | 1.07 | 1.54 |\n| PipeNoTank32 | - | - | 1.00 | 1.01 | 1.02 | 1.04 | 1.41 |\n| PipesTank14 | - | - | 1.00 | 1.00 | 1.01 | 1.05 | 1.14 |\n| PipesTank22 | - | - | 1.01 | 1.00 | 1.02 | 1.02 | 1.10 |","| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k | l | \\|e\\| | \\|e\\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |\n| 5 | 5 | 50 | 9.98 | 7.35 | 0.53 | 0.42 | 0.0097 | 0.00087 |\n| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |\n| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |","| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",1]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k | l | \\|e\\| | \\|e\\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |\n| 5 | 5 | 50 | 9.98 | 7.35 | 0.53 | 0.42 | 0.0097 | 0.00087 |\n| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |\n| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |","| Comp. | Parts | AP | Time |\n| --- | --- | --- | --- |\n| 1 | 0 | 52.3 | 2.27 |\n| 1 | 4 | 63.2 | 3.48 |\n| 1 | 8 | 64.2 | 4.84 |\n| 3 | 0 | 62.9 | 6.48 |\n| 3 | 4 | 66.7 | 12.20 |\n| 3 | 8 | 68.4 | 16.47 |\n| 5 | 0 | 64.8 | 10.25 |\n| 5 | 4 | 67.3 | 16.33 |\n| 5 | 8 | 68.7 | 22.07 |\n| 6 | 0 | 65.2 | 10.48 |\n| 8 | 0 | 66.0 | 11.17 |",0]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k | l | \\|e\\| | \\|e\\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |","| 5 | 5 | 50 | 9.98 | 7.35 | 0.53 | 0.42 | 0.0097 | 0.00087 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 5 | 100 | 19.71 | 15.74 | 0.76 | 0.48 | 0.0875 | 0.00223 |\n| 10 | 10 | 50 | 11.12 | 8.30 | 0.50 | 0.07 | 0.5050 | 0.30963 |\n| 10 | 10 | 100 | 21.93 | 16.78 | 0.67 | 0.18 | 20.45 | 1.31263 |\n| 15 | 15 | 50 | 11.57 | 8.47 | 0.47 | 0.10 | 6.4578 | 55.22 |",1]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k | l | \\|e\\| | \\|e\\|T | H(1) | H(2) | =(2) | Time(1) | Time(2) |","| 6 | 0 | 65.2 | 10.48 |\n| --- | --- | --- | --- |\n| 8 | 0 | 66.0 | 11.17 |",0]
["| Year | L(nm) | t(nm)ox | V(V)th |\n| --- | --- | --- | --- |\n| 2001 | 180 | 4.5-5.5 | 0.39-0.43 |\n| 2003 | 130 | 3.5-4.0 | 0.35-0.40 |","| 2004 | 90 | 1.6-3.0 | 0.25-0.40 |\n| --- | --- | --- | --- |\n| 2007 | 65 | 1.5-2.0 | 0.20-0.35 |\n| 2009 | 45 | 1.0-1.4 | 0.20-0.35 |",1]
["| Year | L(nm) | t(nm)ox | V(V)th |\n| --- | --- | --- | --- |\n| 2001 | 180 | 4.5-5.5 | 0.39-0.43 |\n| 2003 | 130 | 3.5-4.0 | 0.35-0.40 |","| Year | NDCG@20 | NDCG@100 | NDCG@150 |\n| --- | --- | --- | --- |\n| 2015 | 0.7761 | 0.7587 | 0.7675 |\n| 2014 | 0.8777 | 0.7911 | 0.7978 |\n| 2013 | 0.8432 | 0.7766 | 0.7894 |\n| Avg | 0.8323 | 0.7755 | 0.7849 |",0]
["| Year | L(nm) | t(nm)ox | V(V)th |\n| --- | --- | --- | --- |\n| 2001 | 180 | 4.5-5.5 | 0.39-0.43 |\n| 2003 | 130 | 3.5-4.0 | 0.35-0.40 |","| 2004 | 90 | 1.6-3.0 | 0.25-0.40 |\n| --- | --- | --- | --- |\n| 2007 | 65 | 1.5-2.0 | 0.20-0.35 |\n| 2009 | 45 | 1.0-1.4 | 0.20-0.35 |",1]
["| Year | L(nm) | t(nm)ox | V(V)th |\n| --- | --- | --- | --- |\n| 2001 | 180 | 4.5-5.5 | 0.39-0.43 |\n| 2003 | 130 | 3.5-4.0 | 0.35-0.40 |","| 2014 | 0.8777 | 0.7911 | 0.7978 |\n| --- | --- | --- | --- |\n| 2013 | 0.8432 | 0.7766 | 0.7894 |\n| Avg | 0.8323 | 0.7755 | 0.7849 |",0]
["| subset | language | nativelanguage | gender | #segments | #speakers |\n| --- | --- | --- | --- | --- | --- |\n| 1 | english | english | F | 13934 | 774 |\n| 2 | english | english | M | 10379 | 504 |\n| 3 | english | nonenglish | F | 6087 | 784 |\n| 4 | english | nonenglish | M | 9326 | 517 |","| 5 | nonenglish | all | F | 4576 | 663 |\n| --- | --- | --- | --- | --- | --- |\n| 6 | nonenglish | all | M | 2868 | 413 |\n| additional | — | — | all | 2272 | — |",1]
["| subset | language | nativelanguage | gender | #segments | #speakers |\n| --- | --- | --- | --- | --- | --- |\n| 1 | english | english | F | 13934 | 774 |\n| 2 | english | english | M | 10379 | 504 |\n| 3 | english | nonenglish | F | 6087 | 784 |\n| 4 | english | nonenglish | M | 9326 | 517 |","| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |\n| Irish | 46 | 252/278 |  |\n| Hausa | 77 | 424/520 |  |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| subset | language | nativelanguage | gender | #segments | #speakers |\n| --- | --- | --- | --- | --- | --- |\n| 1 | english | english | F | 13934 | 774 |","| 2 | english | english | M | 10379 | 504 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | english | nonenglish | F | 6087 | 784 |\n| 4 | english | nonenglish | M | 9326 | 517 |\n| 5 | nonenglish | all | F | 4576 | 663 |\n| 6 | nonenglish | all | M | 2868 | 413 |\n| additional | — | — | all | 2272 | — |",1]
["| subset | language | nativelanguage | gender | #segments | #speakers |\n| --- | --- | --- | --- | --- | --- |\n| 1 | english | english | F | 13934 | 774 |","| SMULTRON | German | 281 | 6829/7236 |\n| --- | --- | --- | --- |\n| Swedish | 281 | 8402/9377 |  |",0]
["|  | DSTC2 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |","| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",1]
["|  | DSTC2 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |","| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F1 | P | R |\n| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |\n| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |\n| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |\n| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",0]
["|  | DSTC2 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |","| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",1]
["|  | DSTC2 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |","| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| --- | --- | --- | --- | --- |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |\n| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |\n| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |\n| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",0]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 0.44±1.01 | 0.42±0.58 | 0.56±0.47 | 0.47±0.42 | 0.44±0.28 | 0.39±0.21 |\n| Colon | 6.75±9.01 | 6,35±8.12 | 6.27±7.44 | 5.65±7.25 | 4.07±5.72 | 3.59±4.17 |\n| Duodenum | 2.01±2.46 | 1.70±2.18 | 1.71±2.25 | 1.49±1.87 | 1.54±1.43 | 1.36±1.31 |\n| Gallbladder | 1.31±0.76 | 1.21±0.50 | 1.22±0.52 | 1.12±0.50 | 1.05±0.41 | 0.95±0.37 |\n| IVC | 1.57±1.53 | 1.15±1.05 | 1.26±1.08 | 1.16±1.38 | 1.12±1.24 | 1.08±1.03 |\n| Kidney(L) | 0.77±1.04 | 0.41±0.42 | 0.36±0.47 | 0.34±0.47 | 0.30±0.33 | 0.30±0.30 |\n| Kidney(R) | 1.39±2.01 | 1.03±1.68 | 1.05±1.74 | 0.74±1.32 | 0.54±1.09 | 0.45±0.89 |\n| Liver | 1.89±3.21 | 1.60±0 | 1.61±2.98 | 1.39±2.64 | 1.32±1.74 | 1.23±1.52 |\n| Pancreas | 1.78±1.05 | 1.51±0.80 | 1.41±0.88 | 1.19±0.82 | 1.17±0.72 | 1.05±0.65 |\n| Smallbowel | 4.21±5.78 | 4.01±6.01 | 3.91±6.05 | 3.20±4.05 | 3.37±5.48 | 3.01±3.35 |\n| Spleen | 0.98±0.56 | 0.59±0.37 | 0.60±0.36 | 0.56±0.40 | 0.47±0.27 | 0.42±0.25 |","| Stomach | 2.78±5.89 | 2.50±5.02 | 2.51±5.13 | 2.36±5.65 | 1.88±1.64 | 1.68±1.55 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Veins | 2.31±4.51 | 1.75±3.51 | 1.69±3.61 | 1.92±6.48 | 1.40±3.61 | 1.21±3.05 |",1]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 0.44±1.01 | 0.42±0.58 | 0.56±0.47 | 0.47±0.42 | 0.44±0.28 | 0.39±0.21 |\n| Colon | 6.75±9.01 | 6,35±8.12 | 6.27±7.44 | 5.65±7.25 | 4.07±5.72 | 3.59±4.17 |\n| Duodenum | 2.01±2.46 | 1.70±2.18 | 1.71±2.25 | 1.49±1.87 | 1.54±1.43 | 1.36±1.31 |\n| Gallbladder | 1.31±0.76 | 1.21±0.50 | 1.22±0.52 | 1.12±0.50 | 1.05±0.41 | 0.95±0.37 |\n| IVC | 1.57±1.53 | 1.15±1.05 | 1.26±1.08 | 1.16±1.38 | 1.12±1.24 | 1.08±1.03 |\n| Kidney(L) | 0.77±1.04 | 0.41±0.42 | 0.36±0.47 | 0.34±0.47 | 0.30±0.33 | 0.30±0.30 |\n| Kidney(R) | 1.39±2.01 | 1.03±1.68 | 1.05±1.74 | 0.74±1.32 | 0.54±1.09 | 0.45±0.89 |\n| Liver | 1.89±3.21 | 1.60±0 | 1.61±2.98 | 1.39±2.64 | 1.32±1.74 | 1.23±1.52 |\n| Pancreas | 1.78±1.05 | 1.51±0.80 | 1.41±0.88 | 1.19±0.82 | 1.17±0.72 | 1.05±0.65 |\n| Smallbowel | 4.21±5.78 | 4.01±6.01 | 3.91±6.05 | 3.20±4.05 | 3.37±5.48 | 3.01±3.35 |\n| Spleen | 0.98±0.56 | 0.59±0.37 | 0.60±0.36 | 0.56±0.40 | 0.47±0.27 | 0.42±0.25 |","| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 87.0±12.3 | 88.3±8.8 | 85.0±4.2 | 85.5±4.2 | 85.3±4.1 | 91.8±3.5 |\n| Colon | 77.0±11.0 | 79.3±9.2 | 80.3±9.1 | 81.5±9.4 | 82.0±8.8 | 83.0±7.4 |\n| Duodenum | 66.8±12.8 | 70.3±10.4 | 70.2±11.3 | 72.6±11.4 | 73.4±11.1 | 75.4±9.1 |\n| Gallbladder | 85.4±10.3 | 87.9±7.5 | 87.8±8.3 | 88.9±6.2 | 89.4±6.1 | 90.5±5.3 |\n| IVC | 80.8±10.2 | 84.7±5.9 | 84.0±6.0 | 85.6±5.8 | 86.0±5.5 | 87.0±4.2 |\n| Kidney(L) | 83.9±22.4 | 95.2±2.6 | 96.1±2.0 | 96.2±2.2 | 95.9±2.3 | 96.8±1.9 |\n| Kidney(R) | 88.0±14.4 | 95.6±4.5 | 95.8±4.9 | 95.9±4.9 | 96.0±2.5 | 98.4±2.1 |\n| Liver | 91.4±9.9 | 95.7±1.8 | 96.8±0.8 | 97.0±0.9 | 97.0±0.8 | 98.0±0.7 |\n| Pancreas | 79.3±11.7 | 81.4±10.8 | 84.3±4.9 | 86.2±4.5 | 86.6±4.3 | 87.8±3.1 |\n| Smallbowel | 69.9±17.3 | 71.1±15.0 | 76.9±14.0 | 78.0±13.8 | 79.0±13.4 | 80.1±10.2 |\n| Spleen | 89.6±9.5 | 93.1±2.1 | 96.3±1.9 | 96.4±1.9 | 96.4±1.7 | 97.1±1.5 |\n| Stomach | 90.1±7.2 | 93.2±5.4 | 93.9±3.2 | 94.2±2.9 | 94.2±3.0 | 95.2±2.6 |\n| Veins | 60.7±23.7 | 74.5±10.5 | 74.8±10.7 | 76.8±11.2 | 77.4±12.1 | 80.7±9.3 |",0]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 0.44±1.01 | 0.42±0.58 | 0.56±0.47 | 0.47±0.42 | 0.44±0.28 | 0.39±0.21 |\n| Colon | 6.75±9.01 | 6,35±8.12 | 6.27±7.44 | 5.65±7.25 | 4.07±5.72 | 3.59±4.17 |\n| Duodenum | 2.01±2.46 | 1.70±2.18 | 1.71±2.25 | 1.49±1.87 | 1.54±1.43 | 1.36±1.31 |\n| Gallbladder | 1.31±0.76 | 1.21±0.50 | 1.22±0.52 | 1.12±0.50 | 1.05±0.41 | 0.95±0.37 |","| IVC | 1.57±1.53 | 1.15±1.05 | 1.26±1.08 | 1.16±1.38 | 1.12±1.24 | 1.08±1.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Kidney(L) | 0.77±1.04 | 0.41±0.42 | 0.36±0.47 | 0.34±0.47 | 0.30±0.33 | 0.30±0.30 |\n| Kidney(R) | 1.39±2.01 | 1.03±1.68 | 1.05±1.74 | 0.74±1.32 | 0.54±1.09 | 0.45±0.89 |\n| Liver | 1.89±3.21 | 1.60±0 | 1.61±2.98 | 1.39±2.64 | 1.32±1.74 | 1.23±1.52 |\n| Pancreas | 1.78±1.05 | 1.51±0.80 | 1.41±0.88 | 1.19±0.82 | 1.17±0.72 | 1.05±0.65 |\n| Smallbowel | 4.21±5.78 | 4.01±6.01 | 3.91±6.05 | 3.20±4.05 | 3.37±5.48 | 3.01±3.35 |\n| Spleen | 0.98±0.56 | 0.59±0.37 | 0.60±0.36 | 0.56±0.40 | 0.47±0.27 | 0.42±0.25 |\n| Stomach | 2.78±5.89 | 2.50±5.02 | 2.51±5.13 | 2.36±5.65 | 1.88±1.64 | 1.68±1.55 |\n| Veins | 2.31±4.51 | 1.75±3.51 | 1.69±3.61 | 1.92±6.48 | 1.40±3.61 | 1.21±3.05 |",1]
["| Structure | 3DU-net | HFCN | FCNMV | OANMV | OAN-RCMV | OAN-RCLSSF |\n| --- | --- | --- | --- | --- | --- | --- |\n| Aorta | 0.44±1.01 | 0.42±0.58 | 0.56±0.47 | 0.47±0.42 | 0.44±0.28 | 0.39±0.21 |\n| Colon | 6.75±9.01 | 6,35±8.12 | 6.27±7.44 | 5.65±7.25 | 4.07±5.72 | 3.59±4.17 |\n| Duodenum | 2.01±2.46 | 1.70±2.18 | 1.71±2.25 | 1.49±1.87 | 1.54±1.43 | 1.36±1.31 |\n| Gallbladder | 1.31±0.76 | 1.21±0.50 | 1.22±0.52 | 1.12±0.50 | 1.05±0.41 | 0.95±0.37 |","| Liver | 91.4±9.9 | 95.7±1.8 | 96.8±0.8 | 97.0±0.9 | 97.0±0.8 | 98.0±0.7 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pancreas | 79.3±11.7 | 81.4±10.8 | 84.3±4.9 | 86.2±4.5 | 86.6±4.3 | 87.8±3.1 |\n| Smallbowel | 69.9±17.3 | 71.1±15.0 | 76.9±14.0 | 78.0±13.8 | 79.0±13.4 | 80.1±10.2 |\n| Spleen | 89.6±9.5 | 93.1±2.1 | 96.3±1.9 | 96.4±1.9 | 96.4±1.7 | 97.1±1.5 |\n| Stomach | 90.1±7.2 | 93.2±5.4 | 93.9±3.2 | 94.2±2.9 | 94.2±3.0 | 95.2±2.6 |\n| Veins | 60.7±23.7 | 74.5±10.5 | 74.8±10.7 | 76.8±11.2 | 77.4±12.1 | 80.7±9.3 |",0]
["| Dataset | Method | Accuracy |\n| --- | --- | --- |\n| SEED | non-sparseSTRNN | 88.1 |","| STRNN | 89.5 |  |\n| --- | --- | --- |\n| CK+ | non-sparseSTRNN | 94.2 |\n| STRNN | 95.4 |  |",1]
["| Dataset | Method | Accuracy |\n| --- | --- | --- |\n| SEED | non-sparseSTRNN | 88.1 |","| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Speciﬁcity |\n| --- | --- | --- | --- | --- | --- | --- |\n| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |\n| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 |  |\n| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 |  |\n| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 |  |\n| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 |  |\n| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |\n| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 |  |\n| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 |  |\n| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 |  |\n| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 |  |",0]
["| Dataset | Method | Accuracy |\n| --- | --- | --- |\n| SEED | non-sparseSTRNN | 88.1 |\n| STRNN | 89.5 |  |","| CK+ | non-sparseSTRNN | 94.2 |\n| --- | --- | --- |\n| STRNN | 95.4 |  |",1]
["| Dataset | Method | Accuracy |\n| --- | --- | --- |\n| SEED | non-sparseSTRNN | 88.1 |\n| STRNN | 89.5 |  |","| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 |\n| --- | --- | --- | --- | --- | --- |\n| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 |\n| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 |\n| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>maxpool(2) |","|  |  |  |  |  | conv(40,48)<br>conv(48,48) |\n| --- | --- | --- | --- | --- | --- |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>maxpool(2) |","| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40)<br>conv(40,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>conv(40,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48)<br>conv(48,48)<br>conv(48,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",0]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) |","|  |  |  | conv(24,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>maxpool(2) |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  | conv(32,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48)<br>conv(48,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",1]
["| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>maxpool(2) |","|  |  |  |  |  | conv(40,48)<br>conv(48,48)<br>conv(48,48) |\n| --- | --- | --- | --- | --- | --- |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",0]
["| ItemType | ItemDescription | Qty |\n| --- | --- | --- |\n| Chassis | NEXXUS4080ALDesk-sideChassis | 1 |\n| ComputeShelve | ComputeShelveAL/EN(IncludingPowerSupply) | 4 |\n| Motherboard | IntelS5000ALMotherboard-1333MHzFSB | 4 |\n| Processor | XeonQuad-CoreE54102.3312M1333MHz-80W | 8 |","| MemoryType1 | 2GBFBDIMMSDDR2667ECC/Reg. | 32 |\n| --- | --- | --- |\n| HardDrive | HDDRaid500GB,7200rpm,16MB,SATAIINCQ | 2 |\n| HardDrive | HDDRaid250GB,7200rpm,16MB,SATAIINCQ | 3 |\n| HeatSink | HighPerformancePassiveHeatSink | 8 |\n| RiserCard | PCI/ExpressRiserCard | 4 |\n| KVM/USB | IntegratedKVM/USBSwitch | 1 |\n| GigabitSwitch | Integrated16PortGigESwitch | 1 |\n| PowerCord | PowerCordUSA/JPN15AmpROHSCompliant | 1 |",1]
["| ItemType | ItemDescription | Qty |\n| --- | --- | --- |\n| Chassis | NEXXUS4080ALDesk-sideChassis | 1 |\n| ComputeShelve | ComputeShelveAL/EN(IncludingPowerSupply) | 4 |\n| Motherboard | IntelS5000ALMotherboard-1333MHzFSB | 4 |\n| Processor | XeonQuad-CoreE54102.3312M1333MHz-80W | 8 |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| ItemType | ItemDescription | Qty |\n| --- | --- | --- |\n| Chassis | NEXXUS4080ALDesk-sideChassis | 1 |\n| ComputeShelve | ComputeShelveAL/EN(IncludingPowerSupply) | 4 |\n| Motherboard | IntelS5000ALMotherboard-1333MHzFSB | 4 |\n| Processor | XeonQuad-CoreE54102.3312M1333MHz-80W | 8 |\n| MemoryType1 | 2GBFBDIMMSDDR2667ECC/Reg. | 32 |","| HardDrive | HDDRaid500GB,7200rpm,16MB,SATAIINCQ | 2 |\n| --- | --- | --- |\n| HardDrive | HDDRaid250GB,7200rpm,16MB,SATAIINCQ | 3 |\n| HeatSink | HighPerformancePassiveHeatSink | 8 |\n| RiserCard | PCI/ExpressRiserCard | 4 |\n| KVM/USB | IntegratedKVM/USBSwitch | 1 |\n| GigabitSwitch | Integrated16PortGigESwitch | 1 |\n| PowerCord | PowerCordUSA/JPN15AmpROHSCompliant | 1 |",1]
["| ItemType | ItemDescription | Qty |\n| --- | --- | --- |\n| Chassis | NEXXUS4080ALDesk-sideChassis | 1 |\n| ComputeShelve | ComputeShelveAL/EN(IncludingPowerSupply) | 4 |\n| Motherboard | IntelS5000ALMotherboard-1333MHzFSB | 4 |\n| Processor | XeonQuad-CoreE54102.3312M1333MHz-80W | 8 |\n| MemoryType1 | 2GBFBDIMMSDDR2667ECC/Reg. | 32 |","| SMsandSPs | 13and192 |\n| --- | --- |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| TestName | Excel |  |  | AES | MRE-IPI |\n| --- | --- | --- | --- | --- | --- |\n| Birthdays | 0 | 1 | 1 | 1 | 1 |\n| OPERM5 | 0 | 1 | 1 | 1 | 1 |\n| 32x32Binary<br>Rank | 0 | 0 | 0 | 1 | 1 |\n| 6x8BinaryRank | 0 | 0 | 0 | 1 | 0 |\n| Bitstream | 0 | 0 | 0 | 1 | 0 |\n| OPSO | 0 | 0 | 0 | 1 | 0 |\n| OQSO | 0 | 0 | 0 | 1 | 0 |\n| DNA | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(stream) | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(byte) | 0 | 0 | 0 | 1 | 1 |\n| ParkingLot | 0 | 1 | 1 | 1 | 1 |\n| Minimum<br>Distance(2d<br>Circle) | 0 | 1 | 1 | 0 | 1 |\n| 3dSphere<br>(Minimum<br>Distance) | 0 | 1 | 1 | 1 | 1 |\n| Squeeze | 0 | 1 | 1 | 1 | 0 |\n| Sums | 0 | 1 | 1 | 1 | 1 |\n| Runs | 0 | 0 | 1 | 1 | 1 |\n| Craps | 0 | 0 | 1 | 1 | 1 |\n| Marsagliaand<br>TsangGCD | 0 | 0 | 0 | 1 | 1 |\n| STSMonobit | 0 | 0 | 1 | 1 | 1 |\n| STSRuns | 0 | 0 | 0 | 1 | 1 |\n| STSSerial<br>(Generalized) | 0 | 0 | 0 | 1 | 0 |\n| RGBBit<br>Distribution | 0 | 0 | 0 | 1 | 0 |\n| RGBGeneralized<br>Minimum<br>Distance | 0 | 0 | 1 | 1 | 0 |\n| RGB<br>Permutations | 0 | 1 | 1 | 0 | 1 |\n| RGBLagged<br>Sum | 0 | 0 | 0 | 1 | 0 |\n| RGB<br>Kolmogorov-<br>Smirnov | 0 | 0 | 1 | 1 | 0 |\n| ByteDistribution | 0 | 0 | 0 | 1 | 0 |\n| DABDCT | 0 | 0 | 0 | 1 | 0 |\n| DABFillTree | 0 | 1 | 0 | 1 | 0 |\n| DABFillTree2 | 0 | 0 | 0 | 1 | 0 |\n| DABMonobit2 | 0 | 0 | 0 | 1 | 0 |","| Total | 0 | 9 | 13 | 29 | 14 |\n| --- | --- | --- | --- | --- | --- |\n| Percentage | 0.00 | 0.29 | 0.42 | 0.94 | 0.45 |",1]
["| TestName | Excel |  |  | AES | MRE-IPI |\n| --- | --- | --- | --- | --- | --- |\n| Birthdays | 0 | 1 | 1 | 1 | 1 |\n| OPERM5 | 0 | 1 | 1 | 1 | 1 |\n| 32x32Binary<br>Rank | 0 | 0 | 0 | 1 | 1 |\n| 6x8BinaryRank | 0 | 0 | 0 | 1 | 0 |\n| Bitstream | 0 | 0 | 0 | 1 | 0 |\n| OPSO | 0 | 0 | 0 | 1 | 0 |\n| OQSO | 0 | 0 | 0 | 1 | 0 |\n| DNA | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(stream) | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(byte) | 0 | 0 | 0 | 1 | 1 |\n| ParkingLot | 0 | 1 | 1 | 1 | 1 |\n| Minimum<br>Distance(2d<br>Circle) | 0 | 1 | 1 | 0 | 1 |\n| 3dSphere<br>(Minimum<br>Distance) | 0 | 1 | 1 | 1 | 1 |\n| Squeeze | 0 | 1 | 1 | 1 | 0 |\n| Sums | 0 | 1 | 1 | 1 | 1 |\n| Runs | 0 | 0 | 1 | 1 | 1 |\n| Craps | 0 | 0 | 1 | 1 | 1 |\n| Marsagliaand<br>TsangGCD | 0 | 0 | 0 | 1 | 1 |\n| STSMonobit | 0 | 0 | 1 | 1 | 1 |\n| STSRuns | 0 | 0 | 0 | 1 | 1 |\n| STSSerial<br>(Generalized) | 0 | 0 | 0 | 1 | 0 |\n| RGBBit<br>Distribution | 0 | 0 | 0 | 1 | 0 |\n| RGBGeneralized<br>Minimum<br>Distance | 0 | 0 | 1 | 1 | 0 |\n| RGB<br>Permutations | 0 | 1 | 1 | 0 | 1 |\n| RGBLagged<br>Sum | 0 | 0 | 0 | 1 | 0 |\n| RGB<br>Kolmogorov-<br>Smirnov | 0 | 0 | 1 | 1 | 0 |\n| ByteDistribution | 0 | 0 | 0 | 1 | 0 |\n| DABDCT | 0 | 0 | 0 | 1 | 0 |\n| DABFillTree | 0 | 1 | 0 | 1 | 0 |\n| DABFillTree2 | 0 | 0 | 0 | 1 | 0 |\n| DABMonobit2 | 0 | 0 | 0 | 1 | 0 |","| Nr | Dataset | req1:domain | req2:heterog | req3:size | req4:dump |\n| --- | --- | --- | --- | --- | --- |\n| 1 | AllenBrainAtlas | no | no | no | yes |\n| 2 | AirportData | yes | no | yes | no |\n| 3 | BAMS | no | no | no | yes |\n| 4 | BBCJohnPeelsess | yes | yes | yes | yes |\n| 5 | BBOP | no | yes | no | yes |\n| 6 | BTCDatasets | +/- | yes | yes | yes |\n| 7 | Bio2RDF | no | yes | yes | yes |\n| 8 | Bitzi | yes | no | yes | no |\n| 9 | Data-govWiki | yes | yes | yes | yes |\n| 10 | DBpedia | yes | no | yes | yes |\n| 11 | EntrezGene | no | yes | no | no |\n| 12 | Freebase | yes | no | yes | no |\n| 13 | GeoSpeciesKB | no | no | yes | yes |\n| 14 | GOannotations | no | yes | no | no |\n| 15 | GovTrack.us | yes | yes | yes | yes |\n| 16 | Jamendo | yes | yes | yes | yes |\n| 17 | LinkedCT | no | yes | yes | yes |\n| 18 | LinkedMDB | yes | no | yes | yes |\n| 19 | LinkedSensorData | yes | no | yes | yes |\n| 20 | Magnatune | yes | yes | yes | yes |\n| 21 | MeSHheadings | no | yes | yes | yes |\n| 22 | MusicBrainz | yes | yes | N/A | no |\n| 23 | OpenCyc | no | no | yes | no |\n| 24 | RKBExplorerData | yes | yes | yes | no |\n| 25 | STWThesaurusforEconomics | no | no | no | yes |\n| 26 | SwetoDblp | yes | no | no | yes |\n| 27 | TaxonConceptKB | no | no | no | yes |\n| 28 | TelegraphisLOD | yes | yes | no | yes |\n| 29 | TCMGeneDIT | no | no | no | yes |\n| 30 | t4gm.info | yes | no | no | yes |\n| 31 | UniProt | no | yes | yes | yes |\n| 32 | U.S.Census | yes | no | yes | no |\n| 33 | U.S.SEC | yes | no | yes | yes |\n| 34 | YAGO | yes | no | yes | yes |",0]
["| TestName | Excel |  |  | AES | MRE-IPI |\n| --- | --- | --- | --- | --- | --- |\n| Birthdays | 0 | 1 | 1 | 1 | 1 |\n| OPERM5 | 0 | 1 | 1 | 1 | 1 |\n| 32x32Binary<br>Rank | 0 | 0 | 0 | 1 | 1 |\n| 6x8BinaryRank | 0 | 0 | 0 | 1 | 0 |\n| Bitstream | 0 | 0 | 0 | 1 | 0 |\n| OPSO | 0 | 0 | 0 | 1 | 0 |\n| OQSO | 0 | 0 | 0 | 1 | 0 |\n| DNA | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(stream) | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(byte) | 0 | 0 | 0 | 1 | 1 |\n| ParkingLot | 0 | 1 | 1 | 1 | 1 |\n| Minimum<br>Distance(2d<br>Circle) | 0 | 1 | 1 | 0 | 1 |\n| 3dSphere<br>(Minimum<br>Distance) | 0 | 1 | 1 | 1 | 1 |\n| Squeeze | 0 | 1 | 1 | 1 | 0 |\n| Sums | 0 | 1 | 1 | 1 | 1 |\n| Runs | 0 | 0 | 1 | 1 | 1 |\n| Craps | 0 | 0 | 1 | 1 | 1 |\n| Marsagliaand<br>TsangGCD | 0 | 0 | 0 | 1 | 1 |\n| STSMonobit | 0 | 0 | 1 | 1 | 1 |\n| STSRuns | 0 | 0 | 0 | 1 | 1 |","| STSSerial<br>(Generalized) | 0 | 0 | 0 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| RGBBit<br>Distribution | 0 | 0 | 0 | 1 | 0 |\n| RGBGeneralized<br>Minimum<br>Distance | 0 | 0 | 1 | 1 | 0 |\n| RGB<br>Permutations | 0 | 1 | 1 | 0 | 1 |\n| RGBLagged<br>Sum | 0 | 0 | 0 | 1 | 0 |\n| RGB<br>Kolmogorov-<br>Smirnov | 0 | 0 | 1 | 1 | 0 |\n| ByteDistribution | 0 | 0 | 0 | 1 | 0 |\n| DABDCT | 0 | 0 | 0 | 1 | 0 |\n| DABFillTree | 0 | 1 | 0 | 1 | 0 |\n| DABFillTree2 | 0 | 0 | 0 | 1 | 0 |\n| DABMonobit2 | 0 | 0 | 0 | 1 | 0 |\n| Total | 0 | 9 | 13 | 29 | 14 |\n| Percentage | 0.00 | 0.29 | 0.42 | 0.94 | 0.45 |",1]
["| TestName | Excel |  |  | AES | MRE-IPI |\n| --- | --- | --- | --- | --- | --- |\n| Birthdays | 0 | 1 | 1 | 1 | 1 |\n| OPERM5 | 0 | 1 | 1 | 1 | 1 |\n| 32x32Binary<br>Rank | 0 | 0 | 0 | 1 | 1 |\n| 6x8BinaryRank | 0 | 0 | 0 | 1 | 0 |\n| Bitstream | 0 | 0 | 0 | 1 | 0 |\n| OPSO | 0 | 0 | 0 | 1 | 0 |\n| OQSO | 0 | 0 | 0 | 1 | 0 |\n| DNA | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(stream) | 0 | 0 | 0 | 1 | 0 |\n| Countthe1s<br>(byte) | 0 | 0 | 0 | 1 | 1 |\n| ParkingLot | 0 | 1 | 1 | 1 | 1 |\n| Minimum<br>Distance(2d<br>Circle) | 0 | 1 | 1 | 0 | 1 |\n| 3dSphere<br>(Minimum<br>Distance) | 0 | 1 | 1 | 1 | 1 |\n| Squeeze | 0 | 1 | 1 | 1 | 0 |\n| Sums | 0 | 1 | 1 | 1 | 1 |\n| Runs | 0 | 0 | 1 | 1 | 1 |\n| Craps | 0 | 0 | 1 | 1 | 1 |\n| Marsagliaand<br>TsangGCD | 0 | 0 | 0 | 1 | 1 |\n| STSMonobit | 0 | 0 | 1 | 1 | 1 |\n| STSRuns | 0 | 0 | 0 | 1 | 1 |","| 23 | OpenCyc | no | no | yes | no |\n| --- | --- | --- | --- | --- | --- |\n| 24 | RKBExplorerData | yes | yes | yes | no |\n| 25 | STWThesaurusforEconomics | no | no | no | yes |\n| 26 | SwetoDblp | yes | no | no | yes |\n| 27 | TaxonConceptKB | no | no | no | yes |\n| 28 | TelegraphisLOD | yes | yes | no | yes |\n| 29 | TCMGeneDIT | no | no | no | yes |\n| 30 | t4gm.info | yes | no | no | yes |\n| 31 | UniProt | no | yes | yes | yes |\n| 32 | U.S.Census | yes | no | yes | no |\n| 33 | U.S.SEC | yes | no | yes | yes |\n| 34 | YAGO | yes | no | yes | yes |",0]
["| HeaderField | Size |\n| --- | --- |\n| Nodetype | 2 |\n| Numberofpreﬁxesstored | 4 |","| LSRﬁeld | 6 |\n| --- | --- |\n| Pointertoremainingleafentries | 16 |\n| PreﬁxandNHI | ValuespeciﬁedintheLSRﬁeld+8 |",1]
["| HeaderField | Size |\n| --- | --- |\n| Nodetype | 2 |\n| Numberofpreﬁxesstored | 4 |","| Item | Conﬁguration |\n| --- | --- |\n| IssueWidth | 5 |\n| CommitWidth | 4 |\n| ROBSize | 128 |\n| ALUUnits | 6 |\n| FPUUnits | 6 |\n| LoadUnits | 1 |\n| StoreUnits | 1 |\n| LoadQueueSize | 48 |\n| StoreQueueSize | 32 |",0]
["| HeaderField | Size |\n| --- | --- |\n| Nodetype | 2 |","| Numberofpreﬁxesstored | 4 |\n| --- | --- |\n| LSRﬁeld | 6 |\n| Pointertoremainingleafentries | 16 |\n| PreﬁxandNHI | ValuespeciﬁedintheLSRﬁeld+8 |",1]
["| HeaderField | Size |\n| --- | --- |\n| Nodetype | 2 |","| FPUUnits | 6 |\n| --- | --- |\n| LoadUnits | 1 |\n| StoreUnits | 1 |\n| LoadQueueSize | 48 |\n| StoreQueueSize | 32 |",0]
["| Symbol | Meaning | Separatingdistance |\n| --- | --- | --- |\n| E | Entropy | 2.0267 |\n| B | Totalnon-zerohistogrambins | 1.7142 |\n| M2 | Secondordercentralmoment | 1.5166 |\n| Γ(h)4 | Rightdiagonaledge | 1.2329 |","| Γ(h)3 | Leftdiagonaledge | 1.2047 |\n| --- | --- | --- |\n| M1 | Firstordermoment(mean) | 0.8501 |\n| Γ(h)2 | Verticaledge | 0.7979 |\n| Γ(h)1 | Horizontaledge | 0.8353 |",1]
["| Symbol | Meaning | Separatingdistance |\n| --- | --- | --- |\n| E | Entropy | 2.0267 |\n| B | Totalnon-zerohistogrambins | 1.7142 |\n| M2 | Secondordercentralmoment | 1.5166 |\n| Γ(h)4 | Rightdiagonaledge | 1.2329 |","| MAP | Top-1 | Top-5 | Top-10 | Time |\n| --- | --- | --- | --- | --- |\n| GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s |\n| GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s |\n| GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s |\n| SMT-Riemannian | 0.50 | 0.44 | 0.39 | 0.754s |\n| SMT-NormalKL | 0.53 | 0.44 | 0.39 | 0.125s |\n| SMT-Wasserstein | 0.59 | 0.51 | 0.46 | 9.04s |\n| SIFT-BoW-Euclidean | 0.43 | 0.37 | 0.32 | 0.0007s |",0]
["| Symbol | Meaning | Separatingdistance |\n| --- | --- | --- |\n| E | Entropy | 2.0267 |\n| B | Totalnon-zerohistogrambins | 1.7142 |","| M2 | Secondordercentralmoment | 1.5166 |\n| --- | --- | --- |\n| Γ(h)4 | Rightdiagonaledge | 1.2329 |\n| Γ(h)3 | Leftdiagonaledge | 1.2047 |\n| M1 | Firstordermoment(mean) | 0.8501 |\n| Γ(h)2 | Verticaledge | 0.7979 |\n| Γ(h)1 | Horizontaledge | 0.8353 |",1]
["| Symbol | Meaning | Separatingdistance |\n| --- | --- | --- |\n| E | Entropy | 2.0267 |\n| B | Totalnon-zerohistogrambins | 1.7142 |","| SMT-NormalKL | 0.53 | 0.44 | 0.39 | 0.125s |\n| --- | --- | --- | --- | --- |\n| SMT-Wasserstein | 0.59 | 0.51 | 0.46 | 9.04s |\n| SIFT-BoW-Euclidean | 0.43 | 0.37 | 0.32 | 0.0007s |",0]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| buddha | 35.22±0.00 | 38.22±0.11 | 39.12±0.62 | 37.73±0.03 | 38.59±0.08 |\n| buddha2 | 30.97±0.00 | 33.01±0.11 | 33.63±0.22 | 33.67±0.00 | 34.17±0.01 |\n| couple | 25.52±0.00 | 26.22±1.61 | 31.83±2.80 | 28.56±0.00 | 32.79±0.17 |\n| cube | 26.06±0.00 | 26.40±1.90 | 30.99±3.02 | 28.81±0.00 | 32.60±0.23 |\n| horses | 26.37±0.00 | 29.14±0.63 | 33.13±0.72 | 27.80±0.00 | 30.99±0.05 |\n| maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |","| medieval | 30.07±0.00 | 30.53±0.67 | 33.34±0.71 | 31.23±0.00 | 33.23±0.03 |\n| --- | --- | --- | --- | --- | --- |\n| mona | 35.11±0.00 | 37.54±0.64 | 38.32±1.14 | 39.07±0.00 | 39.30±0.04 |\n| papillon | 36.19±0.00 | 39.91±0.15 | 40.59±0.89 | 39.88±0.00 | 40.94±0.06 |\n| pyramide | 26.49±0.00 | 26.73±1.42 | 33.35±4.06 | 29.69±0.00 | 34.63±0.34 |\n| statue | 26.32±0.00 | 26.15±2.15 | 32.95±4.67 | 29.65±0.00 | 34.81±0.38 |\n| stillLife | 25.28±0.00 | 25.58±1.41 | 28.84±0.82 | 27.27±0.00 | 30.80±0.07 |",1]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| buddha | 35.22±0.00 | 38.22±0.11 | 39.12±0.62 | 37.73±0.03 | 38.59±0.08 |\n| buddha2 | 30.97±0.00 | 33.01±0.11 | 33.63±0.22 | 33.67±0.00 | 34.17±0.01 |\n| couple | 25.52±0.00 | 26.22±1.61 | 31.83±2.80 | 28.56±0.00 | 32.79±0.17 |\n| cube | 26.06±0.00 | 26.40±1.90 | 30.99±3.02 | 28.81±0.00 | 32.60±0.23 |\n| horses | 26.37±0.00 | 29.14±0.63 | 33.13±0.72 | 27.80±0.00 | 30.99±0.05 |\n| maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |","|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |\n| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |\n| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |\n| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 |\n| bunny | 39.03±0.00 | 23.40±1.22 | 35.88±1.82 | 43.62±0.01 | 43.73±0.05 |\n| cards | 26.13±0.00 | 17.77±0.33 | 25.22±1.40 | 28.34±0.00 | 31.03±0.02 |\n| chess | 33.11±0.00 | 20.56±0.24 | 31.19±1.96 | 35.76±0.00 | 36.87±0.04 |\n| eucalyptus | 31.71±0.00 | 23.38±0.17 | 32.23±1.61 | 33.03±0.00 | 34.51±0.01 |\n| knights | 31.31±0.02 | 19.36±0.07 | 25.55±1.40 | 34.38±0.05 | 35.37±0.06 |\n| treasure | 27.98±0.00 | 21.45±0.14 | 27.86±0.89 | 29.58±0.00 | 31.37±0.01 |\n| truck | 33.52±0.02 | 23.27±0.05 | 33.04±1.66 | 35.45±0.04 | 36.67±0.05 |",0]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| buddha | 35.22±0.00 | 38.22±0.11 | 39.12±0.62 | 37.73±0.03 | 38.59±0.08 |\n| buddha2 | 30.97±0.00 | 33.01±0.11 | 33.63±0.22 | 33.67±0.00 | 34.17±0.01 |\n| couple | 25.52±0.00 | 26.22±1.61 | 31.83±2.80 | 28.56±0.00 | 32.79±0.17 |\n| cube | 26.06±0.00 | 26.40±1.90 | 30.99±3.02 | 28.81±0.00 | 32.60±0.23 |\n| horses | 26.37±0.00 | 29.14±0.63 | 33.13±0.72 | 27.80±0.00 | 30.99±0.05 |\n| maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |","| medieval | 30.07±0.00 | 30.53±0.67 | 33.34±0.71 | 31.23±0.00 | 33.23±0.03 |\n| --- | --- | --- | --- | --- | --- |\n| mona | 35.11±0.00 | 37.54±0.64 | 38.32±1.14 | 39.07±0.00 | 39.30±0.04 |\n| papillon | 36.19±0.00 | 39.91±0.15 | 40.59±0.89 | 39.88±0.00 | 40.94±0.06 |\n| pyramide | 26.49±0.00 | 26.73±1.42 | 33.35±4.06 | 29.69±0.00 | 34.63±0.34 |\n| statue | 26.32±0.00 | 26.15±2.15 | 32.95±4.67 | 29.65±0.00 | 34.81±0.38 |\n| stillLife | 25.28±0.00 | 25.58±1.41 | 28.84±0.82 | 27.27±0.00 | 30.80±0.07 |",1]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| buddha | 35.22±0.00 | 38.22±0.11 | 39.12±0.62 | 37.73±0.03 | 38.59±0.08 |\n| buddha2 | 30.97±0.00 | 33.01±0.11 | 33.63±0.22 | 33.67±0.00 | 34.17±0.01 |\n| couple | 25.52±0.00 | 26.22±1.61 | 31.83±2.80 | 28.56±0.00 | 32.79±0.17 |\n| cube | 26.06±0.00 | 26.40±1.90 | 30.99±3.02 | 28.81±0.00 | 32.60±0.23 |\n| horses | 26.37±0.00 | 29.14±0.63 | 33.13±0.72 | 27.80±0.00 | 30.99±0.05 |\n| maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |","| eucalyptus | 31.71±0.00 | 23.38±0.17 | 32.23±1.61 | 33.03±0.00 | 34.51±0.01 |\n| --- | --- | --- | --- | --- | --- |\n| knights | 31.31±0.02 | 19.36±0.07 | 25.55±1.40 | 34.38±0.05 | 35.37±0.06 |\n| treasure | 27.98±0.00 | 21.45±0.14 | 27.86±0.89 | 29.58±0.00 | 31.37±0.01 |\n| truck | 33.52±0.02 | 23.27±0.05 | 33.04±1.66 | 35.45±0.04 | 36.67±0.05 |",0]
["| parameters | value |\n| --- | --- |\n| dfs.replication | 1or3 |\n| dfs.block.size | 64MB |\n| mapred.child.java.opts | -Xmx512m |\n| mapred.job.reuse.jvm.num.tasks | -1 |\n| io.sort.mb | 125 |","| io.sort.record.percent | 0.2 |\n| --- | --- |\n| io.sort.spill.percent | 0.8 |\n| io.bytes.per.checksum | 4096 |\n| mapred.tasktracker.reduce.<br>tasks.maximum | 2or3 |\n| mapred.tasktracker.map.tasks.maximum | 3 |",1]
["| parameters | value |\n| --- | --- |\n| dfs.replication | 1or3 |\n| dfs.block.size | 64MB |\n| mapred.child.java.opts | -Xmx512m |\n| mapred.job.reuse.jvm.num.tasks | -1 |\n| io.sort.mb | 125 |","| Variable | HadoopParameter | DefaultValue | Eﬀect |\n| --- | --- | --- | --- |\n| pNumNodes<br>pTaskMem<br>pMaxMapsPerNode<br>pMaxRedPerNode | NumberofNodes<br>mapred.child.java.opts<br>mapred.tasktracker.map.tasks.max<br>mapred.tasktracker.reduce.tasks.max | -Xmx200m<br>2<br>2 | System<br>System<br>System<br>System |\n| pNumMappers<br>pSortMB<br>pSpillPerc<br>pSortRecPerc<br>pSortFactor<br>pNumSpillsForComb | mapred.map.tasks<br>io.sort.mb<br>io.sort.spill.percent<br>io.sort.record.percent<br>io.sort.factor<br>min.num.spills.for.combine | 100MB<br>0.8<br>0.05<br>10<br>3 | Job<br>Job<br>Job<br>Job<br>Job<br>Job |\n| pNumReducers<br>pInMemMergeThr<br>pShuﬄeInBufPerc<br>pShuﬄeMergePerc<br>pReducerInBufPerc | mapred.reduce.tasks<br>mapred.inmem.merge.threshold<br>mapred.job.shuﬄe.input.buﬀer.percent<br>mapred.job.shuﬄe.merge.percent<br>mapred.job.reduce.input.buﬀer.percent | 1000<br>0.7<br>0.66<br>0 | Job<br>Job<br>Job<br>Job<br>Job |\n| pUseCombine<br>pIsIntermCompressed<br>pIsOutCompressed | mapred.combine.classormapreduce.combine.class<br>mapred.compress.map.output<br>mapred.output.compress | null<br>false<br>false | Job<br>Job<br>Job |\n| pReduceSlowstart | mapred.reduce.slowstart.completed.maps | 0.05 | Job |\n| pIsInCompressed<br>pSplitSize | Whethertheinputiscompressedornot<br>Thesizeoftheinputsplit |  | Input<br>Input |",0]
["| parameters | value |\n| --- | --- |\n| dfs.replication | 1or3 |\n| dfs.block.size | 64MB |\n| mapred.child.java.opts | -Xmx512m |\n| mapred.job.reuse.jvm.num.tasks | -1 |\n| io.sort.mb | 125 |\n| io.sort.record.percent | 0.2 |\n| io.sort.spill.percent | 0.8 |\n| io.bytes.per.checksum | 4096 |","| mapred.tasktracker.reduce.<br>tasks.maximum | 2or3 |\n| --- | --- |\n| mapred.tasktracker.map.tasks.maximum | 3 |",1]
["| parameters | value |\n| --- | --- |\n| dfs.replication | 1or3 |\n| dfs.block.size | 64MB |\n| mapred.child.java.opts | -Xmx512m |\n| mapred.job.reuse.jvm.num.tasks | -1 |\n| io.sort.mb | 125 |\n| io.sort.record.percent | 0.2 |\n| io.sort.spill.percent | 0.8 |\n| io.bytes.per.checksum | 4096 |","| pNumReducers<br>pInMemMergeThr<br>pShuﬄeInBufPerc<br>pShuﬄeMergePerc<br>pReducerInBufPerc | mapred.reduce.tasks<br>mapred.inmem.merge.threshold<br>mapred.job.shuﬄe.input.buﬀer.percent<br>mapred.job.shuﬄe.merge.percent<br>mapred.job.reduce.input.buﬀer.percent | 1000<br>0.7<br>0.66<br>0 | Job<br>Job<br>Job<br>Job<br>Job |\n| --- | --- | --- | --- |\n| pUseCombine<br>pIsIntermCompressed<br>pIsOutCompressed | mapred.combine.classormapreduce.combine.class<br>mapred.compress.map.output<br>mapred.output.compress | null<br>false<br>false | Job<br>Job<br>Job |\n| pReduceSlowstart | mapred.reduce.slowstart.completed.maps | 0.05 | Job |\n| pIsInCompressed<br>pSplitSize | Whethertheinputiscompressedornot<br>Thesizeoftheinputsplit |  | Input<br>Input |",0]
["|  | wall | ﬂoor | cabin | bed | chair | sofa | table | door | wdw | bslf | pic | cnter |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 74.94<br>74.72<br>74.29 | 87.41<br>87.41<br>86.78 | 41.70<br>41.52<br>43.44 | 66.53<br>62.49<br>64.25 | 64.45<br>64.58<br>64.80 | 50.36<br>48.78<br>51.6 | 49.01<br>44.94<br>45.73 | 33.35<br>31.54<br>31.67 | 44.77<br>46.18<br>47.64 | 28.12<br>31.08<br>32.55 | 46.84<br>47.71<br>46.43 | 27.73<br>31.09<br>32.00 |\n|  | desk | shelf | ctn | drssr | pillow | mirror | mat | clthes | ceiling | books | fridge | tv |\n| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |","|  | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 |",1]
["|  | wall | ﬂoor | cabin | bed | chair | sofa | table | door | wdw | bslf | pic | cnter |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 74.94<br>74.72<br>74.29 | 87.41<br>87.41<br>86.78 | 41.70<br>41.52<br>43.44 | 66.53<br>62.49<br>64.25 | 64.45<br>64.58<br>64.80 | 50.36<br>48.78<br>51.6 | 49.01<br>44.94<br>45.73 | 33.35<br>31.54<br>31.67 | 44.77<br>46.18<br>47.64 | 28.12<br>31.08<br>32.55 | 46.84<br>47.71<br>46.43 | 27.73<br>31.09<br>32.00 |\n|  | desk | shelf | ctn | drssr | pillow | mirror | mat | clthes | ceiling | books | fridge | tv |\n| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |","| Direction | Discuss | Eat | Greet | Phone | Pose | Purchase |\n| --- | --- | --- | --- | --- | --- | --- |\n| 89.9<br>65.0<br>69.5<br>68.7<br>74.4<br>57.5<br>58.6 | 97.6<br>73.5<br>80.2<br>74.8<br>66.7<br>68.6<br>64.6 | 90.0<br>76.8<br>78.2<br>67.8<br>67.9<br>59.6<br>63.7 | 107.9<br>86.4<br>87.0<br>76.4<br>75.2<br>67.3<br>62.4 | 107.3<br>86.3<br>100.8<br>76.3<br>77.3<br>78.1<br>66.9 | 93.6<br>68.9<br>76.0<br>84.0<br>70.6<br>56.9<br>57.7 | 136.1<br>74.8<br>69.7<br>70.2<br>64.5<br>69.1<br>62.5 |\n| 57.0<br>52.8 | 58.6<br>54.8 | 57.9<br>54.2 | 58.7<br>54.3 | 67.1<br>61.8 | 54.2<br>53.1 | 65.9<br>53.6 |\n| SitDown | Smoke | Photo | Wait | Walk | WalkDog | WalkPair |\n| 240.1<br>173.9<br>113.9<br>113.8<br>127.3<br>117.5<br>103.5 | 106.7<br>85.0<br>89.7<br>78.0<br>79.6<br>69.5<br>65.7 | 139.2<br>110.7<br>102.7<br>98.4<br>79.1<br>82.4<br>70.7 | 106.2<br>85.8<br>98.5<br>90.1<br>73.4<br>68.0<br>61.6 | 87.0<br>71.4<br>79.2<br>62.6<br>67.4<br>55.3<br>56.4 | 114.1<br>86.3<br>82.4<br>75.1<br>71.8<br>76.5<br>69.0 | 90.6<br>73.1<br>77.2<br>73.6<br>72.8<br>61.4<br>59.5 |",0]
["|  | wall | ﬂoor | cabin | bed | chair | sofa | table | door | wdw | bslf | pic | cnter |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 74.94<br>74.72<br>74.29 | 87.41<br>87.41<br>86.78 | 41.70<br>41.52<br>43.44 | 66.53<br>62.49<br>64.25 | 64.45<br>64.58<br>64.80 | 50.36<br>48.78<br>51.6 | 49.01<br>44.94<br>45.73 | 33.35<br>31.54<br>31.67 | 44.77<br>46.18<br>47.64 | 28.12<br>31.08<br>32.55 | 46.84<br>47.71<br>46.43 | 27.73<br>31.09<br>32.00 |","|  | desk | shelf | ctn | drssr | pillow | mirror | mat | clthes | ceiling | books | fridge | tv |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |\n|  | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |\n| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 |",1]
["|  | wall | ﬂoor | cabin | bed | chair | sofa | table | door | wdw | bslf | pic | cnter |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 74.94<br>74.72<br>74.29 | 87.41<br>87.41<br>86.78 | 41.70<br>41.52<br>43.44 | 66.53<br>62.49<br>64.25 | 64.45<br>64.58<br>64.80 | 50.36<br>48.78<br>51.6 | 49.01<br>44.94<br>45.73 | 33.35<br>31.54<br>31.67 | 44.77<br>46.18<br>47.64 | 28.12<br>31.08<br>32.55 | 46.84<br>47.71<br>46.43 | 27.73<br>31.09<br>32.00 |","| 57.0<br>52.8 | 58.6<br>54.8 | 57.9<br>54.2 | 58.7<br>54.3 | 67.1<br>61.8 | 54.2<br>53.1 | 65.9<br>53.6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SitDown | Smoke | Photo | Wait | Walk | WalkDog | WalkPair |\n| 240.1<br>173.9<br>113.9<br>113.8<br>127.3<br>117.5<br>103.5 | 106.7<br>85.0<br>89.7<br>78.0<br>79.6<br>69.5<br>65.7 | 139.2<br>110.7<br>102.7<br>98.4<br>79.1<br>82.4<br>70.7 | 106.2<br>85.8<br>98.5<br>90.1<br>73.4<br>68.0<br>61.6 | 87.0<br>71.4<br>79.2<br>62.6<br>67.4<br>55.3<br>56.4 | 114.1<br>86.3<br>82.4<br>75.1<br>71.8<br>76.5<br>69.0 | 90.6<br>73.1<br>77.2<br>73.6<br>72.8<br>61.4<br>59.5 |",0]
["| Model | Description |\n| --- | --- |\n| DNN | Deepfully-connectednetwork,artiﬁcialneuralnetworkwithdeeplayers |","| CNN | Convolutionalneuralnetwork,multipleconvolutionoperationsforfeatureextraction |\n| --- | --- |\n| RNN | Recurrentneuralnetwork,networkwithtimecorrelationsandLSTM |\n| DBN/RBM | DeepbeliefnetworkandrestrictedBoltzmannmachine |\n| SAE | Stackedautoencoder,featurelearningbydecoding-encodingautoencoder |\n| Hybrid | combinationofsomedeepmodels |",1]
["| Model | Description |\n| --- | --- |\n| DNN | Deepfully-connectednetwork,artiﬁcialneuralnetworkwithdeeplayers |","| Framework | Language | NativeModels | LinesofCode |\n| --- | --- | --- | --- |\n| Caﬀe | C++ | CNN | 74,903 |\n| Theano | Python,C | MLP/CNN/RNN | 148,817 |\n| Torch | Lua,C | MLP/CNN/RNN | 458,650 |\n| TensorFlow | C++ | MLP/CNN/RNN | 335,669 |\n| Matconvnet | Matlab,C | CNN | 43,087 |\n| LightNet | Matlab | MLP/CNN/RNN | 951(1,762)* |",0]
["| Model | Description |\n| --- | --- |\n| DNN | Deepfully-connectednetwork,artiﬁcialneuralnetworkwithdeeplayers |\n| CNN | Convolutionalneuralnetwork,multipleconvolutionoperationsforfeatureextraction |\n| RNN | Recurrentneuralnetwork,networkwithtimecorrelationsandLSTM |","| DBN/RBM | DeepbeliefnetworkandrestrictedBoltzmannmachine |\n| --- | --- |\n| SAE | Stackedautoencoder,featurelearningbydecoding-encodingautoencoder |\n| Hybrid | combinationofsomedeepmodels |",1]
["| Model | Description |\n| --- | --- |\n| DNN | Deepfully-connectednetwork,artiﬁcialneuralnetworkwithdeeplayers |\n| CNN | Convolutionalneuralnetwork,multipleconvolutionoperationsforfeatureextraction |\n| RNN | Recurrentneuralnetwork,networkwithtimecorrelationsandLSTM |","| Torch | Lua,C | MLP/CNN/RNN | 458,650 |\n| --- | --- | --- | --- |\n| TensorFlow | C++ | MLP/CNN/RNN | 335,669 |\n| Matconvnet | Matlab,C | CNN | 43,087 |\n| LightNet | Matlab | MLP/CNN/RNN | 951(1,762)* |",0]
["| FeatureType | Top100 | Top500 |\n| --- | --- | --- |\n| Extension | 27 | 79 |\n| Filesizerelated | 2 | 2 |","| Timerelated | 3 | 3 |\n| --- | --- | --- |\n| Text | 68 | 416 |",1]
["| FeatureType | Top100 | Top500 |\n| --- | --- | --- |\n| Extension | 27 | 79 |\n| Filesizerelated | 2 | 2 |","| Featurecategory | datasetI | datasetII |\n| --- | --- | --- |\n| Filename | 29736 | 14861 |\n| Filepath | 788 | 315 |\n| Fileextensions | 1170 | 316 |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Totalfeaturesize | 31699 | 15497 |",0]
["| FeatureType | Top100 | Top500 |\n| --- | --- | --- |\n| Extension | 27 | 79 |\n| Filesizerelated | 2 | 2 |","| Timerelated | 3 | 3 |\n| --- | --- | --- |\n| Text | 68 | 416 |",1]
["| FeatureType | Top100 | Top500 |\n| --- | --- | --- |\n| Extension | 27 | 79 |\n| Filesizerelated | 2 | 2 |","| Fileextensions | 1170 | 316 |\n| --- | --- | --- |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Totalfeaturesize | 31699 | 15497 |",0]
["| Method | ξ1 | ξ2 | γ1 | γ2 |\n| --- | --- | --- | --- | --- |\n| Groundtruth | 0.8 | 1.5 | 10 | 1 |","| DeconvEM | 0.60 | 0.96 | 21.10 | 0.42 |\n| --- | --- | --- | --- | --- |\n| DeconvMCMC | 0.80 | 2.15 | 10.05 | 1.50 |\n| JointMCMC | 0.82 | 1.37 | 11.24 | 0.82 |",1]
["| Method | ξ1 | ξ2 | γ1 | γ2 |\n| --- | --- | --- | --- | --- |\n| Groundtruth | 0.8 | 1.5 | 10 | 1 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK | 21.4±0.2 | 69.1±0.3 | 65.0±0.2 |\n| CNN | 59.40±0.5 | 94.40±0.3 | 98.80±0.2 |\n| LapCNN | 60.40±0.30 | 94.70±0.50 | 99.10±0.20 |\n| DDC | 60.50±0.70 | 94.80±0.50 | 98.50±0.40 |\n| DAN | 64.50±0.40 | 95.20±0.30 | 98.60±0.20 |\n| FCR2-c | 61.38 | 94.72 | 98.80 |\n| FCR1-c | 59.50 | 95.72 | 99.40 |\n| MLR | 50.31 | 93.08 | 97.79 |\n| CFV | 25.91 | 82.52 | 92.17 |\n| FCR1-c+FCR2-c | 63.02 | 95.85 | 99.60 |\n| MLR+FCR2-c | 61.51 | 96.10 | 99.60 |\n| CFV+FCR2-c | 55.22 | 96.35 | 99.40 |\n| MLR+FCR1-c | 57.74 | 95.85 | 99.20 |\n| CFV+FCR1-c | 51.57 | 95.47 | 99.60 |\n| MLR+CFV | 44.78 | 94.72 | 97.99 |\n| MLR+CFV+FCR1-c | 53.33 | 96.48 | 99.00 |\n| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",0]
["| Method | ξ1 | ξ2 | γ1 | γ2 |\n| --- | --- | --- | --- | --- |\n| Groundtruth | 0.8 | 1.5 | 10 | 1 |","| DeconvEM | 0.60 | 0.96 | 21.10 | 0.42 |\n| --- | --- | --- | --- | --- |\n| DeconvMCMC | 0.80 | 2.15 | 10.05 | 1.50 |\n| JointMCMC | 0.82 | 1.37 | 11.24 | 0.82 |",1]
["| Method | ξ1 | ξ2 | γ1 | γ2 |\n| --- | --- | --- | --- | --- |\n| Groundtruth | 0.8 | 1.5 | 10 | 1 |","| MLR+CFV+FCR2-c | 56.60 | 96.48 | 99.40 |\n| --- | --- | --- | --- |\n| CFV+FCR1-c+FCR2-c | 58.87 | 96.73 | 99.60 |\n| MLR+FCR1-c+FCR2-c | 63.52 | 96.73 | 99.80 |\n| MLR+CFV+FCR1-c+FCR2-c | 59.50 | 96.48 | 99.80 |",0]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |","| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |\n| --- | --- | --- | --- | --- |\n| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",1]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |","| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |\n| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |\n| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",0]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |","| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |\n| --- | --- | --- | --- | --- |\n| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",1]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |","| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| --- | --- | --- | --- | --- |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",0]
["| data(latencyperiod) | MI(E,I)C | CMI(E,I\\|D)CC | II(EC,I,DC) |\n| --- | --- | --- | --- |\n| papers(LP=2yrs)<br>papers(LP=5yrs) | 0.4362<br>0.4522 | 0.4191<br>0.4886 | -0.0172<br>0.0363 |\n| patents(LP=2yrs)<br>patents(LP=5yrs) | 0.0812<br>0.1994 | 0.0336<br>0.1293 | -0.0477<br>-0.0700 |","| opinions(LP=2yrs)<br>opinions(LP=5yrs) | 0.3203<br>0.3287 | 0.1659<br>0.1946 | -0.1544<br>-0.1341 |\n| --- | --- | --- | --- |\n| USSCopinions(LP=2yrs)<br>USSCopinions(LP=5yrs) | 0.7600<br>1.0105 | 0.9385<br>1.2073 | 0.1785<br>0.1968 |",1]
["| data(latencyperiod) | MI(E,I)C | CMI(E,I\\|D)CC | II(EC,I,DC) |\n| --- | --- | --- | --- |\n| papers(LP=2yrs)<br>papers(LP=5yrs) | 0.4362<br>0.4522 | 0.4191<br>0.4886 | -0.0172<br>0.0363 |\n| patents(LP=2yrs)<br>patents(LP=5yrs) | 0.0812<br>0.1994 | 0.0336<br>0.1293 | -0.0477<br>-0.0700 |","|  | ax1 | bx2 | ax+bx12 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| latencyperiod | a | R | b | R | a | b | R |\n| papers |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 |\n| patents |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 2.4686<br>0.7454 | 0.006<br>0.1431 | -<br>0.27 | -<br>0.1013 | 1.8833<br>0.4833 | 0.3935<br>0.1254 | 0.0389<br>0.1803 |\n| legal |  |  |  |  |  |  |  |\n| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301 | 0.5464 |",0]
["| data(latencyperiod) | MI(E,I)C | CMI(E,I\\|D)CC | II(EC,I,DC) |\n| --- | --- | --- | --- |\n| papers(LP=2yrs)<br>papers(LP=5yrs) | 0.4362<br>0.4522 | 0.4191<br>0.4886 | -0.0172<br>0.0363 |","| patents(LP=2yrs)<br>patents(LP=5yrs) | 0.0812<br>0.1994 | 0.0336<br>0.1293 | -0.0477<br>-0.0700 |\n| --- | --- | --- | --- |\n| opinions(LP=2yrs)<br>opinions(LP=5yrs) | 0.3203<br>0.3287 | 0.1659<br>0.1946 | -0.1544<br>-0.1341 |\n| USSCopinions(LP=2yrs)<br>USSCopinions(LP=5yrs) | 0.7600<br>1.0105 | 0.9385<br>1.2073 | 0.1785<br>0.1968 |",1]
["| data(latencyperiod) | MI(E,I)C | CMI(E,I\\|D)CC | II(EC,I,DC) |\n| --- | --- | --- | --- |\n| papers(LP=2yrs)<br>papers(LP=5yrs) | 0.4362<br>0.4522 | 0.4191<br>0.4886 | -0.0172<br>0.0363 |","| legal |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301 | 0.5464 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 324 |\n| 2 | 351 |\n| 3 | 263 |\n| 4 | 350 |\n| 5 | 299 |\n| 6 | 410 |","| 7 | 393 |\n| --- | --- |\n| 8 | 48 |\n| 9 | 124 |\n| 10 | 80 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 324 |\n| 2 | 351 |\n| 3 | 263 |\n| 4 | 350 |\n| 5 | 299 |\n| 6 | 410 |","| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 577 |\n| 2 | 580 |\n| 3 | 575 |\n| 4 | 822 |\n| 5 | 702 |\n| 6 | 706 |\n| 7 | 546 |\n| 8 | 578 |\n| 9 | 170 |\n| 10 | 90 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 324 |\n| 2 | 351 |\n| 3 | 263 |\n| 4 | 350 |\n| 5 | 299 |\n| 6 | 410 |\n| 7 | 393 |\n| 8 | 48 |","| 9 | 124 |\n| --- | --- |\n| 10 | 80 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 324 |\n| 2 | 351 |\n| 3 | 263 |\n| 4 | 350 |\n| 5 | 299 |\n| 6 | 410 |\n| 7 | 393 |\n| 8 | 48 |","| 6 | 706 |\n| --- | --- |\n| 7 | 546 |\n| 8 | 578 |\n| 9 | 170 |\n| 10 | 90 |",0]
["| Segmenttype | H | L | S | HL | LH |\n| --- | --- | --- | --- | --- | --- |\n| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |\n| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |\n| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |\n| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |\n| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |","| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |\n| --- | --- | --- | --- | --- | --- |\n| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |\n| Aﬀricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |\n| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |\n| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |\n| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 |",1]
["| Segmenttype | H | L | S | HL | LH |\n| --- | --- | --- | --- | --- | --- |\n| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |\n| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |\n| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |\n| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |\n| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |","| Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |\n| --- | --- | --- | --- | --- | --- | --- |\n| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |\n| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |\n| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |\n|  | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |\n| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |\n| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |\n| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |\n| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |\n| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",0]
["| Segmenttype | H | L | S | HL | LH |\n| --- | --- | --- | --- | --- | --- |\n| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |\n| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |\n| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |\n| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |\n| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |\n| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |\n| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |\n| Aﬀricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |\n| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |","| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |\n| --- | --- | --- | --- | --- | --- |\n| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 |",1]
["| Segmenttype | H | L | S | HL | LH |\n| --- | --- | --- | --- | --- | --- |\n| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |\n| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |\n| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |\n| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |\n| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |\n| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |\n| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |\n| Aﬀricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |\n| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |","| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",0]
["| Strategy | ModelSize | AUC |\n| --- | --- | --- |\n| None | 56.11M | 0.927 |","| Bneck-Final-64 | 54.30M | 0.889 |\n| --- | --- | --- |\n| Bneck-Final-256 | 55.17M | 0.917 |\n| Bneck-Final-1024 | 58.63M | 0.925 |\n| Bneck-Mid-64 | 40.77M | 0.915 |\n| Bneck-Mid-256 | 42.29M | 0.924 |\n| Bneck-Mid-1024 | 48.41M | 0.927 |\n| FC-64 | 3.07M | 0.841 |\n| FC-256 | 4.95M | 0.905 |\n| FC-1024 | 13.22M | 0.924 |\n| Global-avg-pool | 2.59M | 0.916 |",1]
["| Strategy | ModelSize | AUC |\n| --- | --- | --- |\n| None | 56.11M | 0.927 |","| Team | ML | BM | EB1 | EB2 |\n| --- | --- | --- | --- | --- |\n| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |\n| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |\n| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |\n| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |\n| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |\n| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |\n| T-20 | 0.48 | 0.51 | 0.64 | 0.71 |",0]
["| Strategy | ModelSize | AUC |\n| --- | --- | --- |\n| None | 56.11M | 0.927 |\n| Bneck-Final-64 | 54.30M | 0.889 |\n| Bneck-Final-256 | 55.17M | 0.917 |\n| Bneck-Final-1024 | 58.63M | 0.925 |\n| Bneck-Mid-64 | 40.77M | 0.915 |\n| Bneck-Mid-256 | 42.29M | 0.924 |\n| Bneck-Mid-1024 | 48.41M | 0.927 |","| FC-64 | 3.07M | 0.841 |\n| --- | --- | --- |\n| FC-256 | 4.95M | 0.905 |\n| FC-1024 | 13.22M | 0.924 |\n| Global-avg-pool | 2.59M | 0.916 |",1]
["| Strategy | ModelSize | AUC |\n| --- | --- | --- |\n| None | 56.11M | 0.927 |\n| Bneck-Final-64 | 54.30M | 0.889 |\n| Bneck-Final-256 | 55.17M | 0.917 |\n| Bneck-Final-1024 | 58.63M | 0.925 |\n| Bneck-Mid-64 | 40.77M | 0.915 |\n| Bneck-Mid-256 | 42.29M | 0.924 |\n| Bneck-Mid-1024 | 48.41M | 0.927 |","| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| --- | --- | --- | --- | --- |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |\n| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |\n| T-20 | 0.48 | 0.51 | 0.64 | 0.71 |",0]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |\n| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 |","| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 128.216331<br>57.819864<br>60.425710<br>112.850682<br>58.064456<br>66.207054 | 0.3763077569<br>0.3763078069<br>0.3763079011<br>0.3773260313<br>0.3773259828<br>0.3773261006 | 215.183518<br>88.178545<br>98.404560<br>192.681710<br>57.283939<br>58.508361 | 0.3759913085<br>0.3759913110<br>0.3759913135<br>0.3759936315<br>0.3759936439<br>0.3759936213 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 101.673967<br>47.587231<br>48.042649<br>103.513668<br>47.346182<br>55.683464 | 0.3761560102<br>0.3761559893<br>0.3761559954<br>0.3766979888<br>0.3766979329<br>0.3766979490 | 174.388236<br>58.634676<br>63.347389<br>128.650218<br>31.396945<br>41.701046 | 0.3759910145<br>0.3759910107<br>0.3759910169<br>0.3759918962<br>0.3759918950<br>0.3759918931 |",1]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |\n| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 |","| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 229.220102<br>66.378361<br>67.867812<br>234.129248<br>63.957239<br>65.908254 | 0.3258410619<br>0.3258375894<br>0.3258410840<br>0.3258356616<br>0.3258358353<br>0.3258356562 | 495.873963<br>214.083371<br>214.533017<br>535.821883<br>126.807235<br>148.786983 | 0.3258353956<br>0.3258353935<br>0.3258353956<br>0.3258354793<br>0.3258354785<br>0.3258354792 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |\n| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.134694<br>174.232600<br>176.845275<br>299.840227<br>171.384496<br>172.268358 | 0.3263398874<br>0.3263398971<br>0.3263398982<br>0.3258550019<br>0.3258550023<br>0.3258550036 | 708.881659<br>380.852014<br>338.122579<br>687.638964<br>209.564000<br>213.877001 | 0.3258353918<br>0.3258353920<br>0.3258353920<br>0.3258354037<br>0.3258354039<br>0.3258354041 |\n| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.620959<br>172.405902<br>172.612984<br>297.259155<br>172.227776<br>172.601618 | 0.3258923266<br>0.3258923398<br>0.3258923141<br>0.3261069018<br>0.3261069217<br>0.3261068804 | 406.229956<br>213.151577<br>185.538374<br>497.501496<br>159.518159<br>151.230547 | 0.3258354055<br>0.3258354059<br>0.3258354064<br>0.3258357363<br>0.3258357365<br>0.3258357352 |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 267.252470<br>144.769059<br>140.241334<br>268.102817<br>139.586141<br>135.646766 | 0.3258635308<br>0.3258635315<br>0.3258635313<br>0.3259704996<br>0.3259704998<br>0.3259704994 | 312.865696<br>121.004686<br>122.396247<br>306.236327<br>82.340378<br>81.486252 | 0.3258353862<br>0.3258353865<br>0.3258353867<br>0.3258354906<br>0.3258354912<br>0.3258354909 |",0]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 |","| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 |\n| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 128.216331<br>57.819864<br>60.425710<br>112.850682<br>58.064456<br>66.207054 | 0.3763077569<br>0.3763078069<br>0.3763079011<br>0.3773260313<br>0.3773259828<br>0.3773261006 | 215.183518<br>88.178545<br>98.404560<br>192.681710<br>57.283939<br>58.508361 | 0.3759913085<br>0.3759913110<br>0.3759913135<br>0.3759936315<br>0.3759936439<br>0.3759936213 |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 101.673967<br>47.587231<br>48.042649<br>103.513668<br>47.346182<br>55.683464 | 0.3761560102<br>0.3761559893<br>0.3761559954<br>0.3766979888<br>0.3766979329<br>0.3766979490 | 174.388236<br>58.634676<br>63.347389<br>128.650218<br>31.396945<br>41.701046 | 0.3759910145<br>0.3759910107<br>0.3759910169<br>0.3759918962<br>0.3759918950<br>0.3759918931 |",1]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 |","| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.134694<br>174.232600<br>176.845275<br>299.840227<br>171.384496<br>172.268358 | 0.3263398874<br>0.3263398971<br>0.3263398982<br>0.3258550019<br>0.3258550023<br>0.3258550036 | 708.881659<br>380.852014<br>338.122579<br>687.638964<br>209.564000<br>213.877001 | 0.3258353918<br>0.3258353920<br>0.3258353920<br>0.3258354037<br>0.3258354039<br>0.3258354041 |\n| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.620959<br>172.405902<br>172.612984<br>297.259155<br>172.227776<br>172.601618 | 0.3258923266<br>0.3258923398<br>0.3258923141<br>0.3261069018<br>0.3261069217<br>0.3261068804 | 406.229956<br>213.151577<br>185.538374<br>497.501496<br>159.518159<br>151.230547 | 0.3258354055<br>0.3258354059<br>0.3258354064<br>0.3258357363<br>0.3258357365<br>0.3258357352 |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 267.252470<br>144.769059<br>140.241334<br>268.102817<br>139.586141<br>135.646766 | 0.3258635308<br>0.3258635315<br>0.3258635313<br>0.3259704996<br>0.3259704998<br>0.3259704994 | 312.865696<br>121.004686<br>122.396247<br>306.236327<br>82.340378<br>81.486252 | 0.3258353862<br>0.3258353865<br>0.3258353867<br>0.3258354906<br>0.3258354912<br>0.3258354909 |",0]
["| baseline | weakly | weakly<br>cleaned |\n| --- | --- | --- |\n| 48.3 | 8.5 | 15.9 |","| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |\n| --- | --- | --- |\n| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |\n| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 |",1]
["| baseline | weakly | weakly<br>cleaned |\n| --- | --- | --- |\n| 48.3 | 8.5 | 15.9 |","| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |\n| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |\n| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["| baseline | weakly | weakly<br>cleaned |\n| --- | --- | --- |\n| 48.3 | 8.5 | 15.9 |\n| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |","| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |\n| --- | --- | --- |\n| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 |",1]
["| baseline | weakly | weakly<br>cleaned |\n| --- | --- | --- |\n| 48.3 | 8.5 | 15.9 |\n| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |","| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailﬁnder |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |\n| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |\n| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |","| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",1]
["| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailﬁnder |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |\n| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |\n| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |","| Dataset | Variable# | Avgdegree | Maxdegree |\n| --- | --- | --- | --- |\n| Alarm | 37 | 1.2432 | 4 |\n| Hailﬁnder | 56 | 1.1786 | 4 |\n| Win95pts | 76 | 0.9211 | 6 |\n| Pigs | 441 | 1.3424 | 2 |\n| Link | 724 | 1.5539 | 3 |",0]
["| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailﬁnder |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |","| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |\n| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",1]
["| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailﬁnder |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |","| Win95pts | 76 | 0.9211 | 6 |\n| --- | --- | --- | --- |\n| Pigs | 441 | 1.3424 | 2 |\n| Link | 724 | 1.5539 | 3 |",0]
["| #APKs | TotalTime | AVGTime/APK |\n| --- | --- | --- |\n| 200 | 518 | 2.59 |\n| 400 | 1066 | 2.67 |\n| 600 | 1578 | 2.63 |","| 800 | 2097 | 2.62 |\n| --- | --- | --- |\n| 1,000 | 2778 | 2.78 |",1]
["| #APKs | TotalTime | AVGTime/APK |\n| --- | --- | --- |\n| 200 | 518 | 2.59 |\n| 400 | 1066 | 2.67 |\n| 600 | 1578 | 2.63 |","| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |\n| 3.175 |\n| 1.113 |",0]
["| #APKs | TotalTime | AVGTime/APK |\n| --- | --- | --- |\n| 200 | 518 | 2.59 |\n| 400 | 1066 | 2.67 |","| 600 | 1578 | 2.63 |\n| --- | --- | --- |\n| 800 | 2097 | 2.62 |\n| 1,000 | 2778 | 2.78 |",1]
["| #APKs | TotalTime | AVGTime/APK |\n| --- | --- | --- |\n| 200 | 518 | 2.59 |\n| 400 | 1066 | 2.67 |","| 4.572 |\n| --- |\n| 3.175 |\n| 1.113 |",0]
["| Model/Algorithm | MNIST | Caltech101 | US-CT |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | DC | mIoU | DC | mIoU | DC | mIoU |\n| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |","| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",1]
["| Model/Algorithm | MNIST | Caltech101 | US-CT |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | DC | mIoU | DC | mIoU | DC | mIoU |\n| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |","| Algorithm\\SNRRange | 0.6-1.0 | 1.2-2.0 | 2.2-2.6 |\n| --- | --- | --- | --- |\n| OurO(N)detector | 0.47 | 0.75 | 0.88 |\n| OurO(NlogN)detector | 0.46 | 0.72 | 0.87 |\n| Canny | 0.24 | 0.67 | 0.85 |\n| BM3D+Canny | 0.12 | 0.67 | 0.84 |\n| Crisp | 0.3 | 0.32 | 0.46 |\n| Dollar | 0.18 | 0.32 | 0.43 |\n| MCG | 0.25 | 0.28 | 0.41 |",0]
["| Model/Algorithm | MNIST | Caltech101 | US-CT |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | DC | mIoU | DC | mIoU | DC | mIoU |\n| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |","| MatchingAccuracy | 0.82 | 0.71 | 0.96 | 0.93 | 0.97 | 0.95 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DSPaccw/oseg | 0.58 | 0.44 | 0.60 | 0.48 | 0.29 | 0.17 |\n| DSPaccwithseg | - | - | - | - | 0.63 | 0.49 |",1]
["| Model/Algorithm | MNIST | Caltech101 | US-CT |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | DC | mIoU | DC | mIoU | DC | mIoU |\n| DetectionAccuracy | 0.87 | 0.78 | 0.95 | 0.91 | 0.97 | .0.94 |","| Dollar | 0.18 | 0.32 | 0.43 |\n| --- | --- | --- | --- |\n| MCG | 0.25 | 0.28 | 0.41 |",0]
["| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |\n| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 |","| 67 | 0.644240 | 71 | 0.645067 | 75 | 0.645072 | 79 | 0.645524 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 68 | 0.644104 | 72 | 0.645317 | 76 | 0.644715 | 80 | 0.645595 |",1]
["| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |\n| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 |","| n | g(n) | g(n)f | g(n)/g(n)f |\n| --- | --- | --- | --- |\n| 10 | 17 | 8 | 0.470588 |\n| 20 | 244 | 81 | 0.331967 |\n| 30 | 2136 | 586 | 0.274345 |\n| 40 | 14048 | 3308 | 0.235478 |\n| 50 | 76104 | 15748 | 0.206927 |\n| 60 | 357635 | 66843 | 0.186903 |\n| 70 | 1503172 | 256347 | 0.170537 |\n| 80 | 5777292 | 909945 | 0.157504 |\n| 90 | 20614755 | 3026907 | 0.146832 |\n| 100 | 69065657 | 9512939 | 0.137738 |\n| 110 | 219186741 | 28504221 | 0.130045 |\n| 120 | 663394137 | 81823499 | 0.123341 |\n| 130 | 1925513465 | 226224550 | 0.117488 |\n| 140 | 5383833857 | 604601758 | 0.112299 |\n| 150 | 14555902348 | 1567370784 | 0.107679 |\n| 160 | 38173235010 | 3951974440 | 0.103527 |\n| 170 | 97368672089 | 9714690421 | 0.099772 |",0]
["| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |\n| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 |","| 67 | 0.644240 | 71 | 0.645067 | 75 | 0.645072 | 79 | 0.645524 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 68 | 0.644104 | 72 | 0.645317 | 76 | 0.644715 | 80 | 0.645595 |",1]
["| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |\n| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 |","| 20 | 244 | 81 | 0.331967 |\n| --- | --- | --- | --- |\n| 30 | 2136 | 586 | 0.274345 |\n| 40 | 14048 | 3308 | 0.235478 |\n| 50 | 76104 | 15748 | 0.206927 |\n| 60 | 357635 | 66843 | 0.186903 |\n| 70 | 1503172 | 256347 | 0.170537 |\n| 80 | 5777292 | 909945 | 0.157504 |\n| 90 | 20614755 | 3026907 | 0.146832 |\n| 100 | 69065657 | 9512939 | 0.137738 |\n| 110 | 219186741 | 28504221 | 0.130045 |\n| 120 | 663394137 | 81823499 | 0.123341 |\n| 130 | 1925513465 | 226224550 | 0.117488 |\n| 140 | 5383833857 | 604601758 | 0.112299 |\n| 150 | 14555902348 | 1567370784 | 0.107679 |\n| 160 | 38173235010 | 3951974440 | 0.103527 |\n| 170 | 97368672089 | 9714690421 | 0.099772 |",0]
["| Musmusculus74 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Run1 | Run2 |  |  |  |  |  |\n| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| 25 | 1 | 2 | 3 | 2 | 3 | 5 |\n| 55 | 1 | 1 | 3 | 2 | 2 | 4 |","| 75 | 2 | 3 | 5 | 1 | 2 | 5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 90 | 3 | 4 | 6 | 3 | 4 | 6 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",1]
["| Musmusculus74 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Run1 | Run2 |  |  |  |  |  |\n| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| 25 | 1 | 2 | 3 | 2 | 3 | 5 |\n| 55 | 1 | 1 | 3 | 2 | 2 | 4 |","| Homosapiens75 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Run1 | Run2 |  |  |  |  |  |\n| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| 25 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 55 | 0 | 0 | 2 | 0 | 1 | 1 |\n| 75 | 1 | 1 | 2 | 1 | 1 | 3 |\n| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| Musmusculus74 |  |\n| --- | --- |\n| Run1 | Run2 |","| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 25 | 1 | 2 | 3 | 2 | 3 | 5 |\n| 55 | 1 | 1 | 3 | 2 | 2 | 4 |\n| 75 | 2 | 3 | 5 | 1 | 2 | 5 |\n| 90 | 3 | 4 | 6 | 3 | 4 | 6 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",1]
["| Musmusculus74 |  |\n| --- | --- |\n| Run1 | Run2 |","| 55 | 0 | 0 | 2 | 0 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 75 | 1 | 1 | 2 | 1 | 1 | 3 |\n| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ |  |  |\n| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |\n| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 |  |\n| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |","| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |\n| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 |  |\n| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |\n| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 |  |\n| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 |  |",1]
["| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ |  |  |\n| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |\n| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 |  |\n| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ |  |  |\n| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |\n| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 |  |","| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 |  |\n| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |\n| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 |  |\n| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |\n| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 |  |\n| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 |  |",1]
["| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ |  |  |\n| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |\n| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 |  |","| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| Abstractcomputing | Hamiltondynamic |\n| --- | --- |\n| Tapestate | Coordinate |\n| Innerstate | Momentum |","| Program | Hamiltonian |\n| --- | --- |\n| Execution | Dynamics |\n| Inclusion-Exclusion | Wavesuperposition |",1]
["| Abstractcomputing | Hamiltondynamic |\n| --- | --- |\n| Tapestate | Coordinate |\n| Innerstate | Momentum |","| No. | Operations | Description |\n| --- | --- | --- |\n| 1 | LinearAlgebra | Matrix/Vectoroperations,i.e.,addition,subtraction,<br>multiplication |\n| 2 | Sampling | MCMC(i.e.,Gibbssampling),randomsampling |\n| 3 | LogicOperations | AcollectionofHashalgorithms,i.e.,MD5 |\n| 4 | TransformOperations | FFT,DCT,WaveletTransform |\n| 5 | SetOperations | Union,intersection,complement |\n| 6 | GraphOperations | Graph-theoreticalcomputations,i.e.,graphtraversal |\n| 7 | Sort | Partialsort,quicksort,topksort |\n| 8 | StatisticOperations | Countoperations |",0]
["| Abstractcomputing | Hamiltondynamic |\n| --- | --- |\n| Tapestate | Coordinate |\n| Innerstate | Momentum |","| Program | Hamiltonian |\n| --- | --- |\n| Execution | Dynamics |\n| Inclusion-Exclusion | Wavesuperposition |",1]
["| Abstractcomputing | Hamiltondynamic |\n| --- | --- |\n| Tapestate | Coordinate |\n| Innerstate | Momentum |","| 7 | Sort | Partialsort,quicksort,topksort |\n| --- | --- | --- |\n| 8 | StatisticOperations | Countoperations |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |\n| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |\n| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |\n| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |\n| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |\n| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |\n| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |\n| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |\n| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |\n| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |\n| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |\n| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |\n| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |\n| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |\n| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |\n| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |","| 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |\n| --- | --- | --- | --- | --- |\n| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |\n| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |\n| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |\n| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |\n| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |\n| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |\n| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |\n| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |\n| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |\n| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |\n| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |\n| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |\n| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |\n| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |\n| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |\n| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |","| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |\n| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |\n| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |\n| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |\n| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |\n| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |\n| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |\n| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |\n| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |\n| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |\n| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |\n| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |\n| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |\n| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |\n| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |\n| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |\n| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |\n| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |\n| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |\n| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |\n| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |\n| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |\n| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |\n| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |\n| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |\n| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |","| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |\n| --- | --- | --- | --- | --- |\n| 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |\n| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |\n| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |\n| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |\n| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |\n| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |\n| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |\n| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |\n| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |\n| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |\n| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |\n| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |\n| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |\n| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |\n| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |\n| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |","| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |\n| --- | --- | --- | --- | --- |\n| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |\n| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |\n| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |\n| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |\n| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |\n| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |\n| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |\n| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |\n| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |",0]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |\n| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |\n| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 |","|  | α=0.05 |  |  |  |\n| --- | --- | --- | --- | --- |\n| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 63,289±3853 |\n| Baseline | 1.00±0.00 | 0.85±0.12 | 0.9141±0.07 | 3,853±477 |\n| MIMB | 0.97±0.07 | 0.98±0.05 | 0.9742±0.06 | 2,163±284 |",1]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |\n| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |\n| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 |","| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |\n| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |\n| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |\n| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 |",0]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |\n| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |\n| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 |\n|  | α=0.05 |  |  |  |","| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 63,289±3853 |\n| --- | --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.85±0.12 | 0.9141±0.07 | 3,853±477 |\n| MIMB | 0.97±0.07 | 0.98±0.05 | 0.9742±0.06 | 2,163±284 |",1]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.00 | 1.00±0.00 | 0.80±0.00 | 55,287±4347 |\n| Baseline | 1.00±0.00 | 0.98±0.05 | 0.9923±0.02 | 3,483±518 |\n| MIMB | 0.97±0.07 | 1.00±0.00 | 0.9818±0.06 | 1,843±210 |\n|  | α=0.05 |  |  |  |","| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |\n| --- | --- | --- | --- | --- |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |\n| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |\n| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 |",0]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |\n| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |","| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |\n| --- | --- | --- | --- | --- |\n| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |\n| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |",1]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |\n| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |\n| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |\n| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |\n| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |\n| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |","| 100 | 256 | 21 | 135k,15k,10k | 0.9897,0.9987,0.9988 |\n| --- | --- | --- | --- | --- |\n| 1000 | 256 | 107 | 135k,15k,10k | 0.9570,0.9405,0.9404 |",1]
["| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 21 | 9k,1k,10k | 0.9150,0.8662,0.8660 |\n| 100 | 128 | 130 | 9k,1k,10k | 0.7570,0.6670,0.6599 |\n| 100 | 128 | 122 | 135k,15k,10k | 0.9909,0.9985,0.9982 |","| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |\n| --- | --- | --- | --- | --- |\n| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |\n| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["| Learningstage | Testingstage | A.U.C | A.T.E |\n| --- | --- | --- | --- |\n| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |\n| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |","| (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 |\n| --- | --- | --- | --- |\n| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,0,0,50)<br>(50,0,50,0)<br>(50,50,0,0) | 0.5415<br>0.6039<br>0.6158 | 0.4692<br>0.4306<br>0.4149 |\n| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |\n| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 |",1]
["| Learningstage | Testingstage | A.U.C | A.T.E |\n| --- | --- | --- | --- |\n| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |\n| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |","| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["| Learningstage | Testingstage | A.U.C | A.T.E |\n| --- | --- | --- | --- |\n| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |\n| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |\n| (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 |","| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,0,0,50)<br>(50,0,50,0)<br>(50,50,0,0) | 0.5415<br>0.6039<br>0.6158 | 0.4692<br>0.4306<br>0.4149 |\n| --- | --- | --- | --- |\n| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |\n| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 |",1]
["| Learningstage | Testingstage | A.U.C | A.T.E |\n| --- | --- | --- | --- |\n| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |\n| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |\n| (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 |","| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["| n | 100 | 200 | 300 |\n| --- | --- | --- | --- |\n| aspps | 0.006 | 0.302 | 13.678 |\n| smodels | 0.026 | 0.495 | 16.043 |","| satz | 0.013 | 0.077 | 1.416 |\n| --- | --- | --- | --- |\n| zchaﬀ | 0.002 | 0.107 | 7.952 |",1]
["| n | 100 | 200 | 300 |\n| --- | --- | --- | --- |\n| aspps | 0.006 | 0.302 | 13.678 |\n| smodels | 0.026 | 0.495 | 16.043 |","| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| n | 100 | 200 | 300 |\n| --- | --- | --- | --- |\n| aspps | 0.006 | 0.302 | 13.678 |","| smodels | 0.026 | 0.495 | 16.043 |\n| --- | --- | --- | --- |\n| satz | 0.013 | 0.077 | 1.416 |\n| zchaﬀ | 0.002 | 0.107 | 7.952 |",1]
["| n | 100 | 200 | 300 |\n| --- | --- | --- | --- |\n| aspps | 0.006 | 0.302 | 13.678 |","| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |\n| --- | --- |\n| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |","| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |\n| --- | --- |\n| ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |\n| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |\n| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 |",1]
["| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |\n| --- | --- |\n| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |","| a | 1000111010010011000010000011010111000101101100 |\n| --- | --- |\n| a | 1110111110010100011101001001100001000001101011 |\n| a | 1111011111001010001110100100110000100000110101 |\n| a1 | 0100101101100111101111100101000111010010011000 |\n| 0<br>a | 1111011111001010001110100100110000100000110101 |\n| a | 1000101101100111101111100101000111010010011000 |\n| a | 1100010110110011110111110010100011101001001100 |\n| a | 0100000110101110001011011001111011111001010001 |",0]
["| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |\n| --- | --- |\n| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |\n| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |","| ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |\n| --- | --- |\n| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |\n| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 |",1]
["| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |\n| --- | --- |\n| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |\n| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |","| a1 | 0100101101100111101111100101000111010010011000 |\n| --- | --- |\n| 0<br>a | 1111011111001010001110100100110000100000110101 |\n| a | 1000101101100111101111100101000111010010011000 |\n| a | 1100010110110011110111110010100011101001001100 |\n| a | 0100000110101110001011011001111011111001010001 |",0]
["| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |","| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| --- | --- | --- | --- | --- |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",1]
["| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |","| h | N | SearchLDS | SkipList | JumpSearchLDS |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |  |  |  |\n| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |\n| 50 | 1275 | 0.190 | 0.144 | 0.215 | 0.155 | 0.134 | 0.128 |\n| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",0]
["| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |","| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| --- | --- | --- | --- | --- |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",1]
["| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |","| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",0]
["| Range | Area(km) | Height(m) | Origin | No.datapts. |\n| --- | --- | --- | --- | --- |\n| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |\n| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |\n| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 |","| ScandinavianMountains | 243,000 | 2,469 | Non-orogenic | 138,497,654 |\n| --- | --- | --- | --- | --- |\n| Himalayas | 594,400 | 8,848 | Orogenic | 40,295,462 |\n| SouthernAlps | 36,700 | 3,724 | Orogenic | 23,619,193 |\n| AppalachianMountains | 531,000 | 2,037 | Orogenic | 208,854,395 |",1]
["| Range | Area(km) | Height(m) | Origin | No.datapts. |\n| --- | --- | --- | --- | --- |\n| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |\n| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |\n| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 |","| Range | NT | lnNT | lnlnNT | Rmax | LT | DT | kmax |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alps | 510,466 | 13.14 | 2.58 | 13 | 1,252.6 | 3,229 | 7 |\n| BaeticMnts. | 234,117 | 12.36 | 2.51 | 12 | 821.5 | 2,241 | 7 |\n| Pyrenees | 95,356 | 11.47 | 2.44 | 11 | 461.7 | 1,148 | 6 |\n| ScandinavianMnts. | 1,007,154 | 13.80 | 2.62 | 14 | 2,434.4 | 6,574 | 8 |\n| Himalayas(part) | 582,526 | 13.27 | 2.59 | 12 | 1,635.0 | 4,437 | 7 |\n| SouthernAlps | 436,955 | 12.99 | 2.56 | 13 | 910.6 | 2,300 | 7 |\n| AppalachianMnts. | 965,668 | 13.78 | 2.62 | 14 | 2,158.1 | 6,232 | 7 |\n| Range | NR | lnNR | lnlnNR | DR | LR | (cid:104)m(cid:105)R | R<br>kmax |\n| Alps | 266,540 | 12.49 | 2.53 | 25 | 9.6 | 5.65 | 2,203 |\n| BaeticMts. | 122,709 | 11.72 | 2.46 | 23 | 8.8 | 5.24 | 1,357 |\n| Pyrenees | 50,027 | 10.82 | 2.38 | 21 | 8.7 | 5.15 | 852 |\n| ScandinavianMts. | 514,641 | 13.15 | 2.58 | 25 | 9.4 | 5.35 | 4,086 |\n| Himalayas(part) | 304,661 | 12.63 | 2.54 | 23 | 9.1 | 5.50 | 2,286 |\n| SouthernAlps | 227,920 | 12.54 | 2.53 | 24 | 9.6 | 5.63 | 1179 |\n| AppalachianMts. | 488,822 | 13.06 | 2.57 | 26 | 9.3 | 5.72 | 4,072 |",0]
["| Range | Area(km) | Height(m) | Origin | No.datapts. |\n| --- | --- | --- | --- | --- |\n| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |\n| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |\n| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 |\n| ScandinavianMountains | 243,000 | 2,469 | Non-orogenic | 138,497,654 |\n| Himalayas | 594,400 | 8,848 | Orogenic | 40,295,462 |","| SouthernAlps | 36,700 | 3,724 | Orogenic | 23,619,193 |\n| --- | --- | --- | --- | --- |\n| AppalachianMountains | 531,000 | 2,037 | Orogenic | 208,854,395 |",1]
["| Range | Area(km) | Height(m) | Origin | No.datapts. |\n| --- | --- | --- | --- | --- |\n| Alps | 207,000 | 4,807 | Orogenic | 36,895,401 |\n| BaeticMountains | 100,000 | 3,478 | Orogenic | 11,255,768 |\n| Pyrenees | 19,000 | 3,404 | Orogenic | 10,332,333 |\n| ScandinavianMountains | 243,000 | 2,469 | Non-orogenic | 138,497,654 |\n| Himalayas | 594,400 | 8,848 | Orogenic | 40,295,462 |","| ScandinavianMts. | 514,641 | 13.15 | 2.58 | 25 | 9.4 | 5.35 | 4,086 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Himalayas(part) | 304,661 | 12.63 | 2.54 | 23 | 9.1 | 5.50 | 2,286 |\n| SouthernAlps | 227,920 | 12.54 | 2.53 | 24 | 9.6 | 5.63 | 1179 |\n| AppalachianMts. | 488,822 | 13.06 | 2.57 | 26 | 9.3 | 5.72 | 4,072 |",0]
["| Dataset | N | K | D | d |\n| --- | --- | --- | --- | --- |\n| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |\n| Yale | 2432 | 38 | 2016 | 9 |\n| COIL-20 | 1440 | 20 | 1024 | 9 |\n| COIL-100 | 7200 | 100 | 1024 | 9 |","| USPS | 9298 | 10 | 256 | 15 |\n| --- | --- | --- | --- | --- |\n| MNIST-10k | 10000 | 10 | 500 | 3 |",1]
["| Dataset | N | K | D | d |\n| --- | --- | --- | --- | --- |\n| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |\n| Yale | 2432 | 38 | 2016 | 9 |\n| COIL-20 | 1440 | 20 | 1024 | 9 |\n| COIL-100 | 7200 | 100 | 1024 | 9 |","| Dataset | Size | Dimensions | Classes |\n| --- | --- | --- | --- |\n| COIL-20 | 1,440 | 1,024 | 20 |\n| PenDigits | 7,494 | 16 | 10 |\n| USPS | 9,298 | 256 | 10 |\n| MNIST | 70,000 | 784 | 10 |\n| RCV1 | 193,844 | 47,236 | 103 |",0]
["| Dataset | N | K | D | d |\n| --- | --- | --- | --- | --- |\n| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |\n| Yale | 2432 | 38 | 2016 | 9 |\n| COIL-20 | 1440 | 20 | 1024 | 9 |","| COIL-100 | 7200 | 100 | 1024 | 9 |\n| --- | --- | --- | --- | --- |\n| USPS | 9298 | 10 | 256 | 15 |\n| MNIST-10k | 10000 | 10 | 500 | 3 |",1]
["| Dataset | N | K | D | d |\n| --- | --- | --- | --- | --- |\n| Hopkins-155 | 39-556 | 2-3 | 30-200 | 3 |\n| Yale | 2432 | 38 | 2016 | 9 |\n| COIL-20 | 1440 | 20 | 1024 | 9 |","| USPS | 9,298 | 256 | 10 |\n| --- | --- | --- | --- |\n| MNIST | 70,000 | 784 | 10 |\n| RCV1 | 193,844 | 47,236 | 103 |",0]
["| Ground<br>truth | TIFFS |  |  |\n| --- | --- | --- | --- |\n| Extract | Match | Extract |  |\n| 352 | 358 | 181 | 351 |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |","| 117 | 82 | 69 | 80 |\n| --- | --- | --- | --- |\n| 92 | 58 | 42 | 62 |\n| 1565 | 1074 | 681 | 1060 |",1]
["| Ground<br>truth | TIFFS |  |  |\n| --- | --- | --- | --- |\n| Extract | Match | Extract |  |\n| 352 | 358 | 181 | 351 |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |","| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |\n| --- | --- | --- | --- | --- |\n| 6 | 154 | 46 | 167 | 33 |\n| 8 | 154 | 46 | 168 | 32 |\n| 10 | 153 | 47 | 168 | 32 |\n| 12 | 150 | 50 | 169 | 31 |\n| 14 | 150 | 50 | 169 | 31 |\n| 16 | 148 | 52 | 168 | 32 |\n| 18 | 145 | 55 | 167 | 33 |\n| 20 | 146 | 54 | 167 | 33 |",0]
["| Ground<br>truth | TIFFS |  |  |\n| --- | --- | --- | --- |\n| Extract | Match | Extract |  |\n| 352 | 358 | 181 | 351 |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |","| 92 | 58 | 42 | 62 |\n| --- | --- | --- | --- |\n| 1565 | 1074 | 681 | 1060 |",1]
["| Ground<br>truth | TIFFS |  |  |\n| --- | --- | --- | --- |\n| Extract | Match | Extract |  |\n| 352 | 358 | 181 | 351 |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |","| 12 | 150 | 50 | 169 | 31 |\n| --- | --- | --- | --- | --- |\n| 14 | 150 | 50 | 169 | 31 |\n| 16 | 148 | 52 | 168 | 32 |\n| 18 | 145 | 55 | 167 | 33 |\n| 20 | 146 | 54 | 167 | 33 |",0]
["| Method | σ=25 | σ=50 | σ=75 | σ=100 |\n| --- | --- | --- | --- | --- |\n| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |\n| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |\n| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |\n| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |\n| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |\n| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 |","| MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |\n| --- | --- | --- | --- | --- |\n| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 |",1]
["| Method | σ=25 | σ=50 | σ=75 | σ=100 |\n| --- | --- | --- | --- | --- |\n| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |\n| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |\n| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |\n| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |\n| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |\n| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 |","| Method | σ=5 | σ=15 | σ=25 | σ=35 | σ=50 |\n| --- | --- | --- | --- | --- | --- |\n| CBM3D | 40.25 | 33.50 | 30.68 | 28.87 | 27.36 |\n| BM3D-Net | - | 33.79 | 30.91 | - | 27.48 |\n| CNL-Net | - | 33.69 | 30.96 | - | 27.64 |\n| IRCNN | 40.36 | 33.86 | 31.16 | 29.50 | 27.86 |\n| Proposed(Initial) | 40.03 | 33.59 | 31.00 | 29.40 | 27.83 |\n| Proposed(Final) | 40.33 | 33.85 | 31.22 | 29.59 | 27.97 |",0]
["| Method | σ=25 | σ=50 | σ=75 | σ=100 |\n| --- | --- | --- | --- | --- |\n| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |\n| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |\n| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |\n| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |\n| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |","| TNRD | 28.93/0.816 | 25.96/0.702 | 24.45/0.632 | 23.47/0.586 |\n| --- | --- | --- | --- | --- |\n| MSND | 28.92/0.815 | 26.01/0.704 | 24.54/0.638 | 23.58/0.593 |\n| MSND | 28.98/0.820 | 26.06/0.709 | 24.58/0.642 | 23.62/0.598 |",1]
["| Method | σ=25 | σ=50 | σ=75 | σ=100 |\n| --- | --- | --- | --- | --- |\n| BM3D | 28.57/0.802 | 25.62/0.687 | 24.21/0.622 | 23.24/0.576 |\n| EPLL | 28.68/0.812 | 25.68/0.688 | 24.10/0.606 | 23.06/0.547 |\n| MSEPLL | 28.78/0.812 | 25.83/0.692 | 24.30/0.620 | 23.32/0.573 |\n| WNNM | 28.80/0.808 | 25.83/0.698 | 24.39/0.626 | 23.39/0.585 |\n| TNRD | 28.77/0.808 | 25.83/0.692 | 24.33/0.624 | 23.30/0.574 |","| Proposed(Initial) | 40.03 | 33.59 | 31.00 | 29.40 | 27.83 |\n| --- | --- | --- | --- | --- | --- |\n| Proposed(Final) | 40.33 | 33.85 | 31.22 | 29.59 | 27.97 |",0]
["| ML | RealPhone | STREAM |  |  |\n| --- | --- | --- | --- | --- |\n| T.S. | C.V. | T.S. | C.V. |  |\n| NB | 75.2 | 72.9 | 78.91 | 79.79 |\n| Bayesnet | 74.8 | 74.1 | 81.25 | 86.23 |\n| RF | 92.6 | 92.9 | 70.31 | 94.53 |","| SL | 91.4 | 90.4 | 68.75 | 89.52 |\n| --- | --- | --- | --- | --- |\n| J48 | 91.4 | 91.1 | 73.44 | 93.43 |\n| MLP | 91.2 | 91.2 | 70.31 | 93.91 |",1]
["| ML | RealPhone | STREAM |  |  |\n| --- | --- | --- | --- | --- |\n| T.S. | C.V. | T.S. | C.V. |  |\n| NB | 75.2 | 72.9 | 78.91 | 79.79 |\n| Bayesnet | 74.8 | 74.1 | 81.25 | 86.23 |\n| RF | 92.6 | 92.9 | 70.31 | 94.53 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| ML | RealPhone | STREAM |  |  |\n| --- | --- | --- | --- | --- |\n| T.S. | C.V. | T.S. | C.V. |  |\n| NB | 75.2 | 72.9 | 78.91 | 79.79 |","| Bayesnet | 74.8 | 74.1 | 81.25 | 86.23 |\n| --- | --- | --- | --- | --- |\n| RF | 92.6 | 92.9 | 70.31 | 94.53 |\n| SL | 91.4 | 90.4 | 68.75 | 89.52 |\n| J48 | 91.4 | 91.1 | 73.44 | 93.43 |\n| MLP | 91.2 | 91.2 | 70.31 | 93.91 |",1]
["| ML | RealPhone | STREAM |  |  |\n| --- | --- | --- | --- | --- |\n| T.S. | C.V. | T.S. | C.V. |  |\n| NB | 75.2 | 72.9 | 78.91 | 79.79 |","| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Distanceto<br>basket | GLM | GBM |\n| --- | --- | --- |\n| 2feet | 0.875 | 0.942 |","| 3feet | 0.807 | 0.902 |\n| --- | --- | --- |\n| 4feet | 0.721 | 0.848 |\n| 5feet | 0.659 | 0.796 |\n| 6feet | 0.604 | 0.746 |\n| 7feet | 0.583 | 0.742 |\n| 8feet | 0.558 | 0.719 |",1]
["| Distanceto<br>basket | GLM | GBM |\n| --- | --- | --- |\n| 2feet | 0.875 | 0.942 |","| Dataset | Base | Base+E | DSM+E | Ours+E | Ourstop-15+E |\n| --- | --- | --- | --- | --- | --- |\n| Openml589 | 0.562 | 0.589 | 0.654 | 0.693 | 0.698 |\n| BikeshareDC | 0.410 | 0.427 | 0.712 | 0.801 | 0.808 |\n| Openml620 | 0.524 | 0.532 | 0.545 | 0.686 | 0.687 |\n| Housing | 0.626 | 0.629 | 0.629 | 0.685 | 0.691 |\n| Airfoil | 0.752 | 0.752 | 0.786 | 0.804 | 0.804 |",0]
["| Distanceto<br>basket | GLM | GBM |\n| --- | --- | --- |\n| 2feet | 0.875 | 0.942 |\n| 3feet | 0.807 | 0.902 |","| 4feet | 0.721 | 0.848 |\n| --- | --- | --- |\n| 5feet | 0.659 | 0.796 |\n| 6feet | 0.604 | 0.746 |\n| 7feet | 0.583 | 0.742 |\n| 8feet | 0.558 | 0.719 |",1]
["| Distanceto<br>basket | GLM | GBM |\n| --- | --- | --- |\n| 2feet | 0.875 | 0.942 |\n| 3feet | 0.807 | 0.902 |","| Housing | 0.626 | 0.629 | 0.629 | 0.685 | 0.691 |\n| --- | --- | --- | --- | --- | --- |\n| Airfoil | 0.752 | 0.752 | 0.786 | 0.804 | 0.804 |",0]
["| biased | debiased |  |  |\n| --- | --- | --- | --- |\n| neighbor | similarity | neighbor | similarity |\n| nurse | 1.0121 | nurse | 0.7056 |\n| nanny | 0.9035 | obstetrician | 0.6861 |\n| ﬁanc´ee | 0.8700 | pediatrician | 0.6447 |","| maid | 0.8674 | dentist | 0.6367 |\n| --- | --- | --- | --- |\n| ﬁanc´e | 0.8617 | surgeon | 0.6303 |\n| mother | 0.8612 | physician | 0.6254 |\n| ﬁance | 0.8611 | cardiologist | 0.6088 |\n| dentist | 0.8569 | pharmacist | 0.6081 |\n| woman | 0.8564 | hospital | 0.5969 |",1]
["| biased | debiased |  |  |\n| --- | --- | --- | --- |\n| neighbor | similarity | neighbor | similarity |\n| nurse | 1.0121 | nurse | 0.7056 |\n| nanny | 0.9035 | obstetrician | 0.6861 |\n| ﬁanc´ee | 0.8700 | pediatrician | 0.6447 |","| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["| biased | debiased |  |  |\n| --- | --- | --- | --- |\n| neighbor | similarity | neighbor | similarity |\n| nurse | 1.0121 | nurse | 0.7056 |\n| nanny | 0.9035 | obstetrician | 0.6861 |\n| ﬁanc´ee | 0.8700 | pediatrician | 0.6447 |\n| maid | 0.8674 | dentist | 0.6367 |","| ﬁanc´e | 0.8617 | surgeon | 0.6303 |\n| --- | --- | --- | --- |\n| mother | 0.8612 | physician | 0.6254 |\n| ﬁance | 0.8611 | cardiologist | 0.6088 |\n| dentist | 0.8569 | pharmacist | 0.6081 |\n| woman | 0.8564 | hospital | 0.5969 |",1]
["| biased | debiased |  |  |\n| --- | --- | --- | --- |\n| neighbor | similarity | neighbor | similarity |\n| nurse | 1.0121 | nurse | 0.7056 |\n| nanny | 0.9035 | obstetrician | 0.6861 |\n| ﬁanc´ee | 0.8700 | pediatrician | 0.6447 |\n| maid | 0.8674 | dentist | 0.6367 |","| university | students | 0.275 | 0.425 | 0.435 |\n| --- | --- | --- | --- | --- |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["| cpu-cycles | L1-dcache-loads | dTLB-loads |\n| --- | --- | --- |\n| branches | L1-dcache-stores | iTLB-loads |\n| instructions | L1-icache-loads | dTLB-load-misses |","| branch-misses | L1-icache-load-misses | iTLB-load-misses |\n| --- | --- | --- |\n| branch-loads | LLC-loads | dTLB-stores |\n| branch-load-misses | LLC-load-misses | dTLB-store-misses |\n| cache-references | LLC-stores |  |\n| cache-misses | LLC-store-misses |  |\n| ref-cycles |  |  |\n| bus-cycles |  |  |",1]
["| cpu-cycles | L1-dcache-loads | dTLB-loads |\n| --- | --- | --- |\n| branches | L1-dcache-stores | iTLB-loads |\n| instructions | L1-icache-loads | dTLB-load-misses |","| Parameter | Code | ValueforO2 | ValueforTexas |\n| --- | --- | --- | --- |\n| Systemclass | SYSCLASS | Pageserver | Centralized |\n| Networkthroughput | NETTHRU | +∞ | N/A |\n| Diskpagesize | PGSIZE | 4096bytes | 4096bytes |\n| Buﬀersize | BUFFSIZE | 3840pages | 3275pages |\n| Buﬀerpagereplacementstrategy | PGREP | LRU | LRU |\n| Prefetchingpolicy | PREFETCH | None | None |\n| Objectclusteringpolicy | CLUSTP | None | DSTC |\n| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |\n| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| cpu-cycles | L1-dcache-loads | dTLB-loads |\n| --- | --- | --- |\n| branches | L1-dcache-stores | iTLB-loads |\n| instructions | L1-icache-loads | dTLB-load-misses |","| branch-misses | L1-icache-load-misses | iTLB-load-misses |\n| --- | --- | --- |\n| branch-loads | LLC-loads | dTLB-stores |\n| branch-load-misses | LLC-load-misses | dTLB-store-misses |\n| cache-references | LLC-stores |  |\n| cache-misses | LLC-store-misses |  |\n| ref-cycles |  |  |\n| bus-cycles |  |  |",1]
["| cpu-cycles | L1-dcache-loads | dTLB-loads |\n| --- | --- | --- |\n| branches | L1-dcache-stores | iTLB-loads |\n| instructions | L1-icache-loads | dTLB-load-misses |","| Objectsinitialplacement | INITPL | OptimizedSequential | OptimizedSequential |\n| --- | --- | --- | --- |\n| Disksearchtime | DISKSEA | 6.3ms | 7.4ms |\n| Disklatencytime | DISKLAT | 2.99ms | 4.3ms |\n| Disktransfertime | DISKTRA | 0.7ms | 0.5ms |\n| Multiprogramminglevel | MULTILVL | 10 | 1 |\n| Locksacquisitiontime | GETLOCK | 0.5ms | 0 |\n| Locksreleasetime | RELLOCK | 0.5ms | 0 |\n| Numberofusers | NUSERS | 1 | 1 |",0]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 1740.47 | 103 | - |\n| GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |","| M=5,µ=0.25,σ=0.24920 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.0659±0.0037<br>0.0650±0.0036 | 513.21<br>533.48 | 6<br>6 | 0.2499<br>0.2499 |\n| M=10,µ=0.1111,σ=0.10170 |  |  |  |  |\n| CCBS<br>GCBS | 0.0435±0.0016<br>0.0500±0.0023 | 495.13<br>497.92 | 12<br>12 | 0.1024<br>0.1019 |\n| M=20,µ=0.0526,σ=0.05030 |  |  |  |  |\n| CCBS<br>GCBS | 0.0301±0.0008<br>0.0309±0.0009 | 488.67<br>488.66 | 21<br>21 | 0.0433<br>0.0472 |\n| M=30,µ=0.0345,σ=0.03360 |  |  |  |  |\n| CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 |",1]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 1740.47 | 103 | - |\n| GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |","| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 282.42 | 188 | - |\n| GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 |\n| M=5,µ=0.25,σ=0.09630 |  |  |  |  |\n| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |\n| M=10,µ=0.1111,σ=0.04890 |  |  |  |  |\n| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |\n| M=20,µ=0.0526,σ=0.02600 |  |  |  |  |\n| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 |\n| M=30,µ=0.0345,σ=0.01780 |  |  |  |  |\n| CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 |",0]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 1740.47 | 103 | - |\n| GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |","| M=5,µ=0.25,σ=0.24920 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.0659±0.0037<br>0.0650±0.0036 | 513.21<br>533.48 | 6<br>6 | 0.2499<br>0.2499 |\n| M=10,µ=0.1111,σ=0.10170 |  |  |  |  |\n| CCBS<br>GCBS | 0.0435±0.0016<br>0.0500±0.0023 | 495.13<br>497.92 | 12<br>12 | 0.1024<br>0.1019 |\n| M=20,µ=0.0526,σ=0.05030 |  |  |  |  |\n| CCBS<br>GCBS | 0.0301±0.0008<br>0.0309±0.0009 | 488.67<br>488.66 | 21<br>21 | 0.0433<br>0.0472 |\n| M=30,µ=0.0345,σ=0.03360 |  |  |  |  |\n| CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 |",1]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 1740.47 | 103 | - |\n| GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |","| M=5,µ=0.25,σ=0.09630 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |\n| M=10,µ=0.1111,σ=0.04890 |  |  |  |  |\n| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |\n| M=20,µ=0.0526,σ=0.02600 |  |  |  |  |\n| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 |\n| M=30,µ=0.0345,σ=0.01780 |  |  |  |  |\n| CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 |",0]
["|  | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE |\n| Swan | 99.57 | 0.423 | 99.84 | 0.154 | 99.76 | 0.2375 | 99.62 | 0.374 |","| Port | 99.60 | 0.394 | 99.87 | 0.126 | 99.83 | 0.163 | 99.68 | 0.317 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl | 99.75 | 0.244 | 99.91 | 0.087 | 99.87 | 0.127 | 99.82 | 0.175 |",1]
["|  | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE |\n| Swan | 99.57 | 0.423 | 99.84 | 0.154 | 99.76 | 0.2375 | 99.62 | 0.374 |","| Noiseless |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |\n| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |\n| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |\n| Noisy |  |  |  |  |  |  |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |\n| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |\n| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |\n| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |\n| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |\n| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |\n| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |\n| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |\n| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |\n| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |",0]
["|  | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE |","| Swan | 99.57 | 0.423 | 99.84 | 0.154 | 99.76 | 0.2375 | 99.62 | 0.374 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Port | 99.60 | 0.394 | 99.87 | 0.126 | 99.83 | 0.163 | 99.68 | 0.317 |\n| Girl | 99.75 | 0.244 | 99.91 | 0.087 | 99.87 | 0.127 | 99.82 | 0.175 |",1]
["|  | Org.Image | MSRCR | ImprovedMSRCR | ProposedMethod |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TestImages | AWE | DWE | AWE | DWE | AWE | DWE | AWE | DWE |","| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Butterﬂy | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |\n| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |\n| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |\n| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |\n| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |\n| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |\n| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |\n| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |\n| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |\n| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |\n| Noisy |  |  |  |  |  |  |\n| Image | NCSR | Our | Improvement |  |  |  |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM |  |\n| Butterﬂy | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |\n| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |\n| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |\n| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |\n| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |\n| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |\n| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |\n| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |\n| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |\n| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 |",0]
["|  | Systemoflinearequations(EuclideanGeometry) |\n| --- | --- |\n| Operations | ArithmeticOperations |\n| Constraints | LinearEquations |\n| Unknowns | Variables |\n| Algorithms | VariableElimination |","| Solution | Consistency |\n| --- | --- |\n| Nosolution | Inconsistency |",1]
["|  | Systemoflinearequations(EuclideanGeometry) |\n| --- | --- |\n| Operations | ArithmeticOperations |\n| Constraints | LinearEquations |\n| Unknowns | Variables |\n| Algorithms | VariableElimination |","| Version | Problem | Squarespersecond |\n| --- | --- | --- |\n| Standard(Algorithms??and??) | DLS9 | 1.8×10 |\n| Bitarithmetic(Algorithm??) | DLS9 | 2.6×10 |\n| Optimizedbitarithmetic<br>(Algorithm??) | DLS9 | 6.8×10 |\n| LS8 | 9×10 |  |\n| DLS8 | 5.8×10 |  |\n| LS9 | 8.0×10 |  |\n| LS10 | 6.3×10 |  |\n| DLS10 | 6.0×10 |  |",0]
["|  | Systemoflinearequations(EuclideanGeometry) |\n| --- | --- |\n| Operations | ArithmeticOperations |","| Constraints | LinearEquations |\n| --- | --- |\n| Unknowns | Variables |\n| Algorithms | VariableElimination |\n| Solution | Consistency |\n| Nosolution | Inconsistency |",1]
["|  | Systemoflinearequations(EuclideanGeometry) |\n| --- | --- |\n| Operations | ArithmeticOperations |","| Bitarithmetic(Algorithm??) | DLS9 | 2.6×10 |\n| --- | --- | --- |\n| Optimizedbitarithmetic<br>(Algorithm??) | DLS9 | 6.8×10 |\n| LS8 | 9×10 |  |\n| DLS8 | 5.8×10 |  |\n| LS9 | 8.0×10 |  |\n| LS10 | 6.3×10 |  |\n| DLS10 | 6.0×10 |  |",0]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 100±0.0 | 100±0.0 | 98.33±2.02 |\n| F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 |\n| J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 |","| J15 | 97.08±4.16 | 97.08±4.95 | 90.83±6.35 |\n| --- | --- | --- | --- |\n| MIG29 | 100±0.0 | 99.58±1.22 | 98.75±2.14 |\n| MIG35 | 99.16±1.84 | 98.75±3.16 | 96.66±3.53 |\n| EF2000 | 99.58±1.05 | 100±0.0 | 97.91±2.58 |",1]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 100±0.0 | 100±0.0 | 98.33±2.02 |\n| F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 |\n| J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 |","| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 99.44±1.10 | 100±0.0 | 78.05±7.26 |\n| F16 | 100±0.0 | 99.72±0.93 | 79.16±8.18 |\n| J11 | 95.55±3.99 | 96.94±2.15 | 64.72±6.14 |\n| J15 | 92.77±5.13 | 95.83±3.09 | 66.38±5.88 |\n| MIG29 | 98.33±2.56 | 99.16±1.44 | 77.50±7.98 |\n| MIG35 | 99.16±1.35 | 99.16±1.49 | 75.55±6.83 |\n| EF2000 | 99.72±0.85 | 100±0.0 | 91.94±4.25 |",0]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 100±0.0 | 100±0.0 | 98.33±2.02 |\n| F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 |\n| J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 |\n| J15 | 97.08±4.16 | 97.08±4.95 | 90.83±6.35 |\n| MIG29 | 100±0.0 | 99.58±1.22 | 98.75±2.14 |","| MIG35 | 99.16±1.84 | 98.75±3.16 | 96.66±3.53 |\n| --- | --- | --- | --- |\n| EF2000 | 99.58±1.05 | 100±0.0 | 97.91±2.58 |",1]
["| Model | 200dB | 150dB | 100dB |\n| --- | --- | --- | --- |\n| F15 | 100±0.0 | 100±0.0 | 98.33±2.02 |\n| F16 | 99.16±1.78 | 100±0.0 | 95.83±3.82 |\n| J11 | 99.66±3.04 | 98.75±2.99 | 91.25±6.82 |\n| J15 | 97.08±4.16 | 97.08±4.95 | 90.83±6.35 |\n| MIG29 | 100±0.0 | 99.58±1.22 | 98.75±2.14 |","| J11 | 95.55±3.99 | 96.94±2.15 | 64.72±6.14 |\n| --- | --- | --- | --- |\n| J15 | 92.77±5.13 | 95.83±3.09 | 66.38±5.88 |\n| MIG29 | 98.33±2.56 | 99.16±1.44 | 77.50±7.98 |\n| MIG35 | 99.16±1.35 | 99.16±1.49 | 75.55±6.83 |\n| EF2000 | 99.72±0.85 | 100±0.0 | 91.94±4.25 |",0]
["| Matrix | Method | No.ofProcesses |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 256 | 512 | 1024 | 2048 | 4096 |  |  |\n| nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 |","| Zolo-PD | 16.56 | 8.55 | 6.42 | 4.79 | 4.44 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Speedup | 1.00 | 1.41 | 1.27 | 1.70 | 1.25 |  |\n| fv1 | QDWH-PD | 16.16 | 12.75 | 8.62 | 7.23 | 5.97 |\n| Zolo-PD | 22.26 | 10.87 | 7.40 | 6.02 | 5.82 |  |\n| Speedup | 0.73 | 1.17 | 1.16 | 1.20 | 1.03 |  |\n| linverse | QDWH-PD | 37.63 | 20.25 | 12.97 | 10.15 | 9.35 |\n| Zolo-PD | 37.40 | 19.07 | 12.43 | 8.75 | 7.92 |  |\n| Speedup | 1.01 | 1.06 | 1.04 | 1.16 | 1.18 |  |",1]
["| Matrix | Method | No.ofProcesses |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 256 | 512 | 1024 | 2048 | 4096 |  |  |\n| nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 |","| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Matrix | Method | No.ofProcesses |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 256 | 512 | 1024 | 2048 | 4096 |  |  |\n| nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 |\n| Zolo-PD | 16.56 | 8.55 | 6.42 | 4.79 | 4.44 |  |\n| Speedup | 1.00 | 1.41 | 1.27 | 1.70 | 1.25 |  |\n| fv1 | QDWH-PD | 16.16 | 12.75 | 8.62 | 7.23 | 5.97 |\n| Zolo-PD | 22.26 | 10.87 | 7.40 | 6.02 | 5.82 |  |\n| Speedup | 0.73 | 1.17 | 1.16 | 1.20 | 1.03 |  |","| linverse | QDWH-PD | 37.63 | 20.25 | 12.97 | 10.15 | 9.35 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Zolo-PD | 37.40 | 19.07 | 12.43 | 8.75 | 7.92 |  |\n| Speedup | 1.01 | 1.06 | 1.04 | 1.16 | 1.18 |  |",1]
["| Matrix | Method | No.ofProcesses |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 256 | 512 | 1024 | 2048 | 4096 |  |  |\n| nemeth03 | QDWH-PD | 16.51 | 12.02 | 8.14 | 7.36 | 5.55 |\n| Zolo-PD | 16.56 | 8.55 | 6.42 | 4.79 | 4.44 |  |\n| Speedup | 1.00 | 1.41 | 1.27 | 1.70 | 1.25 |  |\n| fv1 | QDWH-PD | 16.16 | 12.75 | 8.62 | 7.23 | 5.97 |\n| Zolo-PD | 22.26 | 10.87 | 7.40 | 6.02 | 5.82 |  |\n| Speedup | 0.73 | 1.17 | 1.16 | 1.20 | 1.03 |  |","| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(92featuremaps) | 331 |\n| Convlayer(92featuremaps) | 1025 |\n| Convlayer(92featuremaps) | 1107 |\n| ActivationLayer | 135 |","| Convlayer(192featuremaps) | 1439 |\n| --- | --- |\n| Convlayer(192featuremaps) | 1649 |\n| ActivationLayer | 153 |\n| Convlayer(192featuremaps) | 2192 |\n| Convlayer(192featuremaps) | 1873 |\n| Convlayer(192featuremaps) | 1725 |\n| GlobalAveragePoolingLayer | 35 |\n| FullyConnected | 22 |",1]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(92featuremaps) | 331 |\n| Convlayer(92featuremaps) | 1025 |\n| Convlayer(92featuremaps) | 1107 |\n| ActivationLayer | 135 |","| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(32featuremaps) | 29 |\n| Convlayer(32featuremaps) | 755 |\n| ActivationLayer | 113 |\n| AveragePoolingLayer | 15 |\n| Convlayer(64featuremaps) | 249 |\n| Convlayer(64featuremaps) | 314 |\n| ActivationLayer | 127 |\n| Convlayer(128featuremaps) | 418 |\n| Convlayer(128featuremaps) | 405 |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",0]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(92featuremaps) | 331 |\n| Convlayer(92featuremaps) | 1025 |\n| Convlayer(92featuremaps) | 1107 |\n| ActivationLayer | 135 |","| Convlayer(192featuremaps) | 1439 |\n| --- | --- |\n| Convlayer(192featuremaps) | 1649 |\n| ActivationLayer | 153 |\n| Convlayer(192featuremaps) | 2192 |\n| Convlayer(192featuremaps) | 1873 |\n| Convlayer(192featuremaps) | 1725 |\n| GlobalAveragePoolingLayer | 35 |\n| FullyConnected | 22 |",1]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(92featuremaps) | 331 |\n| Convlayer(92featuremaps) | 1025 |\n| Convlayer(92featuremaps) | 1107 |\n| ActivationLayer | 135 |","| Convlayer(64featuremaps) | 314 |\n| --- | --- |\n| ActivationLayer | 127 |\n| Convlayer(128featuremaps) | 418 |\n| Convlayer(128featuremaps) | 405 |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",0]
["| City | NumberofdistinctIPs |\n| --- | --- |\n| Athens,Greece | 92,866 |\n| London,UnitedKingdom | 65,203 |\n| Perth,Australia | 53,386 |\n| Brisbane,Australia | 49,144 |\n| Mumbai,India | 48,027 |\n| Toronto,Canada | 45,828 |\n| Sydney,Australia | 42,899 |\n| Islamabad,Pakistan | 41,850 |","| Melbourne,Australia | 38,469 |\n| --- | --- |\n| Delhi,India | 38,432 |",1]
["| City | NumberofdistinctIPs |\n| --- | --- |\n| Athens,Greece | 92,866 |\n| London,UnitedKingdom | 65,203 |\n| Perth,Australia | 53,386 |\n| Brisbane,Australia | 49,144 |\n| Mumbai,India | 48,027 |\n| Toronto,Canada | 45,828 |\n| Sydney,Australia | 42,899 |\n| Islamabad,Pakistan | 41,850 |","| Region | Numberofmentions | Numberofusers(senders) |\n| --- | --- | --- |\n| California | 2,349,901 | 217,439 |\n| LosAngeles | 918,360 | 51,625 |\n| UK | 3,721,716 | 612,368 |\n| London | 614,045 | 58,046 |",0]
["| City | NumberofdistinctIPs |\n| --- | --- |\n| Athens,Greece | 92,866 |\n| London,UnitedKingdom | 65,203 |\n| Perth,Australia | 53,386 |","| Brisbane,Australia | 49,144 |\n| --- | --- |\n| Mumbai,India | 48,027 |\n| Toronto,Canada | 45,828 |\n| Sydney,Australia | 42,899 |\n| Islamabad,Pakistan | 41,850 |\n| Melbourne,Australia | 38,469 |\n| Delhi,India | 38,432 |",1]
["| City | NumberofdistinctIPs |\n| --- | --- |\n| Athens,Greece | 92,866 |\n| London,UnitedKingdom | 65,203 |\n| Perth,Australia | 53,386 |","| LosAngeles | 918,360 | 51,625 |\n| --- | --- | --- |\n| UK | 3,721,716 | 612,368 |\n| London | 614,045 | 58,046 |",0]
["| Numberoftrainingimagesperclass |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | 5 | 10 | 15 | 20 | 25 | 30 |\n| AK-NN | 27.3±0.5 | 32.6±0.6 | 36.1±0.9 | 38.0±1.1 | 39.9±1.0 | 42.4±1.5 |\n| PK-NN | 27.5±0.7 | 32.8±1.0 | 36.4±1.1 | 38.3±1.2 | 40.4±1.1 | 42.9±1.4 |\n| BIK-NN | 29.4±0.9 | 35.5±1.2 | 39.5±0.7 | 41.3±1.0 | 43.3±0.8 | 45.7±1.1 |\n| AK-RT-KFDA+NN | 46.0±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.2 | 70.8±0.9 | 73.6±1.1 |\n| PK-RT-KFDA+NN | 45.0±0.6 | 56.1±0.6 | 62.6±0.6 | 66.7±0.7 | 69.4±0.9 | 72.4±1.0 |","| BIK-RT-KFDA+NN | 46.1±0.6 | 54.8±0.1 | 59.7±0.5 | 63.0±0.8 | 65.4±0.7 | 67.8±0.7 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MKL-RT-KFDA+NN | 45.7±0.6 | 58.6±0.4 | 65.3±0.8 | 69.5±0.7 | 72.1±0.4 | 74.6±0.7 |\n| MKL-DR-KFDA+NN | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.2 |\n| AK-SVM | 44.4±0.6 | 55.7±0.5 | 62.2±1.1 | 66.1±1.0 | 68.9±1.0 | 71.6±1.5 |\n| PK-SVM | 43.6±0.7 | 54.7±0.5 | 61.3±0.9 | 65.4±0.8 | 68.3±0.7 | 71.3±1.4 |\n| BIK-SVM | 46.1±0.9 | 55.6±0.5 | 61.0±0.2 | 64.3±0.9 | 66.9±0.8 | 69.4±0.4 |\n| MKL-SVM | 42.1±1.2 | 55.1±0.7 | 62.3±0.8 | 67.1±0.9 | 70.5±0.8 | 73.7±0.7 |\n| AK-RT-KFDA+SVM | 46.1±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.0 | 70.8±0.9 | 73.7±1.0 |\n| PK-RT-KFDA+SVM | 45.0±0.6 | 56.2±0.6 | 62.6±0.7 | 66.7±0.8 | 69.4±0.9 | 72.5±1.1 |\n| BIK-RT-KFDA+SVM | 46.1±0.6 | 54.8±0.2 | 59.8±0.4 | 63.0±0.8 | 65.5±0.6 | 67.8±0.7 |\n| MKL-RT-KFDA+SVM | 46.3±0.9 | 58.9±0.4 | 65.5±0.7 | 69.7±1.0 | 72.2±0.4 | 74.7±0.7 |\n| MKL-DR-KFDA+SVM | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.3 |",1]
["| Numberoftrainingimagesperclass |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | 5 | 10 | 15 | 20 | 25 | 30 |\n| AK-NN | 27.3±0.5 | 32.6±0.6 | 36.1±0.9 | 38.0±1.1 | 39.9±1.0 | 42.4±1.5 |\n| PK-NN | 27.5±0.7 | 32.8±1.0 | 36.4±1.1 | 38.3±1.2 | 40.4±1.1 | 42.9±1.4 |\n| BIK-NN | 29.4±0.9 | 35.5±1.2 | 39.5±0.7 | 41.3±1.0 | 43.3±0.8 | 45.7±1.1 |\n| AK-RT-KFDA+NN | 46.0±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.2 | 70.8±0.9 | 73.6±1.1 |\n| PK-RT-KFDA+NN | 45.0±0.6 | 56.1±0.6 | 62.6±0.6 | 66.7±0.7 | 69.4±0.9 | 72.4±1.0 |","|  | 1cm | 2cm | 4cm | 8cm |\n| --- | --- | --- | --- | --- |\n| DNN-ILD | 3.01±.044 | 3.03±.046 | 3.10±.047 | 3.23±.049 |\n| Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 |\n| DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 |\n| Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |",0]
["| Numberoftrainingimagesperclass |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | 5 | 10 | 15 | 20 | 25 | 30 |","| AK-NN | 27.3±0.5 | 32.6±0.6 | 36.1±0.9 | 38.0±1.1 | 39.9±1.0 | 42.4±1.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| PK-NN | 27.5±0.7 | 32.8±1.0 | 36.4±1.1 | 38.3±1.2 | 40.4±1.1 | 42.9±1.4 |\n| BIK-NN | 29.4±0.9 | 35.5±1.2 | 39.5±0.7 | 41.3±1.0 | 43.3±0.8 | 45.7±1.1 |\n| AK-RT-KFDA+NN | 46.0±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.2 | 70.8±0.9 | 73.6±1.1 |\n| PK-RT-KFDA+NN | 45.0±0.6 | 56.1±0.6 | 62.6±0.6 | 66.7±0.7 | 69.4±0.9 | 72.4±1.0 |\n| BIK-RT-KFDA+NN | 46.1±0.6 | 54.8±0.1 | 59.7±0.5 | 63.0±0.8 | 65.4±0.7 | 67.8±0.7 |\n| MKL-RT-KFDA+NN | 45.7±0.6 | 58.6±0.4 | 65.3±0.8 | 69.5±0.7 | 72.1±0.4 | 74.6±0.7 |\n| MKL-DR-KFDA+NN | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.2 |\n| AK-SVM | 44.4±0.6 | 55.7±0.5 | 62.2±1.1 | 66.1±1.0 | 68.9±1.0 | 71.6±1.5 |\n| PK-SVM | 43.6±0.7 | 54.7±0.5 | 61.3±0.9 | 65.4±0.8 | 68.3±0.7 | 71.3±1.4 |\n| BIK-SVM | 46.1±0.9 | 55.6±0.5 | 61.0±0.2 | 64.3±0.9 | 66.9±0.8 | 69.4±0.4 |\n| MKL-SVM | 42.1±1.2 | 55.1±0.7 | 62.3±0.8 | 67.1±0.9 | 70.5±0.8 | 73.7±0.7 |\n| AK-RT-KFDA+SVM | 46.1±0.8 | 57.6±0.6 | 64.2±0.8 | 68.1±1.0 | 70.8±0.9 | 73.7±1.0 |\n| PK-RT-KFDA+SVM | 45.0±0.6 | 56.2±0.6 | 62.6±0.7 | 66.7±0.8 | 69.4±0.9 | 72.5±1.1 |\n| BIK-RT-KFDA+SVM | 46.1±0.6 | 54.8±0.2 | 59.8±0.4 | 63.0±0.8 | 65.5±0.6 | 67.8±0.7 |\n| MKL-RT-KFDA+SVM | 46.3±0.9 | 58.9±0.4 | 65.5±0.7 | 69.7±1.0 | 72.2±0.4 | 74.7±0.7 |\n| MKL-DR-KFDA+SVM | 40.2±4.0 | 53.6±2.5 | 61.7±1.4 | 65.5±0.8 | 68.6±0.9 | 72.1±1.3 |",1]
["| Numberoftrainingimagesperclass |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | 5 | 10 | 15 | 20 | 25 | 30 |","| Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 |\n| --- | --- | --- | --- | --- |\n| DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 |\n| Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |",0]
["|  | Aspectratio | Convexity | HScircularity | Solidity |\n| --- | --- | --- | --- | --- |\n| Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 |\n| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |","| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |\n| --- | --- | --- | --- | --- |\n| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |",1]
["|  | Aspectratio | Convexity | HScircularity | Solidity |\n| --- | --- | --- | --- | --- |\n| Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 |\n| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |","| block-size/sparsity | top-10 | top-20 | top-30 | top-40 |\n| --- | --- | --- | --- | --- |\n| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |\n| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |\n| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |\n| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",0]
["|  | Aspectratio | Convexity | HScircularity | Solidity |\n| --- | --- | --- | --- | --- |\n| Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 |\n| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |","| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |\n| --- | --- | --- | --- | --- |\n| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |",1]
["|  | Aspectratio | Convexity | HScircularity | Solidity |\n| --- | --- | --- | --- | --- |\n| Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 |\n| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |","| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |\n| --- | --- | --- | --- | --- |\n| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",0]
["| Tracker | Framerate(fps) |\n| --- | --- |\n| ProposedMethod | 0.211 |\n| Struck | 25.1 |\n| SCM | 0.771 |\n| TLD | 36.2 |","| CXT | 23.6 |\n| --- | --- |\n| VTD | 9.82 |",1]
["| Tracker | Framerate(fps) |\n| --- | --- |\n| ProposedMethod | 0.211 |\n| Struck | 25.1 |\n| SCM | 0.771 |\n| TLD | 36.2 |","| Tracker |\n| --- |\n| AUC<br>Prec. |\n| AUC<br>Prec. |\n| AUC<br>Prec. |\n| FPS |",0]
["| Tracker | Framerate(fps) |\n| --- | --- |\n| ProposedMethod | 0.211 |\n| Struck | 25.1 |\n| SCM | 0.771 |","| TLD | 36.2 |\n| --- | --- |\n| CXT | 23.6 |\n| VTD | 9.82 |",1]
["| Tracker | Framerate(fps) |\n| --- | --- |\n| ProposedMethod | 0.211 |\n| Struck | 25.1 |\n| SCM | 0.771 |","| AUC<br>Prec. |\n| --- |\n| FPS |",0]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 |\n| SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 |\n| HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |","| BSCA | 0.1754 | 0.5925 | 0.7616 | 0.1291 | 1 | 0.0525 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LPS | 0.1252 | 0.5890 | 0.6831 | 0.1291 | 1 | 0.0166 |\n| RGBD1 | 0.3207 | 0.4843 | 0.7771 | 0.1291 | 1 | 0.2228 |\n| RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 |\n| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |\n| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |\n| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |",1]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 |\n| SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 |\n| HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |","| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2049 | 0.2804 | 0.3875 | 0.1262 | 1 | 0 |\n| SIM | 0.3740 | 0.3345 | 0.5076 | 0.1262 | 1 | 0 |\n| HS | 0.1849 | 0.5361 | 0.6581 | 0.1262 | 1 | 0.1187 |\n| BSCA | 0.1851 | 0.5826 | 0.7977 | 0.1262 | 1 | 0.0306 |\n| LPS | 0.1406 | 0.5452 | 0.6951 | 0.1262 | 1 | 0.0026 |\n| RGBD1 | 0.3079 | 0.5410 | 0.8561 | 0.1262 | 1 | 0.1731 |\n| RGBD2 | 0.1165 | 0.4912 | 0.7699 | 0.1262 | 1 | 0.0049 |\n| OURS1 | 0.1065 | 0.5357 | 0.9000 | 0.0074 | 1 | 0 |\n| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |\n| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |",0]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 |\n| SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 |\n| HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |","| BSCA | 0.1754 | 0.5925 | 0.7616 | 0.1291 | 1 | 0.0525 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LPS | 0.1252 | 0.5890 | 0.6831 | 0.1291 | 1 | 0.0166 |\n| RGBD1 | 0.3207 | 0.4843 | 0.7771 | 0.1291 | 1 | 0.2228 |\n| RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 |\n| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |\n| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |\n| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |",1]
["| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 |\n| SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 |\n| HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |","| OURS2 | 0.0880 | 0.6881 | 0.9249 | 0.1262 | 1 | 0.1118 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OURS | 0.0781 | 0.7230 | 0.9181 | 0.1262 | 1 | 0.2669 |",0]
["| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors |\n| --- | --- | --- | --- |\n| 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 |\n| 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |","| 20<br>20<br>20<br>20 | 20<br>30<br>40<br>50 | 15.00<br>14.33<br>13.13<br>11.67 | 13.25<br>****<br>****<br>**** |\n| --- | --- | --- | --- |\n| 30<br>30<br>30<br>30 | 20<br>30<br>40<br>50 | 22.2<br>19.27<br>17.13<br>15.87 | ****<br>****<br>****<br>**** |",1]
["| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors |\n| --- | --- | --- | --- |\n| 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 |\n| 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |","| ρ |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",0]
["| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors |\n| --- | --- | --- | --- |\n| 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 |\n| 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |","| 20<br>20<br>20<br>20 | 20<br>30<br>40<br>50 | 15.00<br>14.33<br>13.13<br>11.67 | 13.25<br>****<br>****<br>**** |\n| --- | --- | --- | --- |\n| 30<br>30<br>30<br>30 | 20<br>30<br>40<br>50 | 22.2<br>19.27<br>17.13<br>15.87 | ****<br>****<br>****<br>**** |",1]
["| No.ofline<br>segments<br>(n) | Sensing<br>range<br>(ρ) | Approximateno.<br>ofsensors<br>byour12-approxalgo. | Optimalno.<br>ofsensors |\n| --- | --- | --- | --- |\n| 10<br>10<br>10<br>10 | 20<br>30<br>40<br>50 | 8.94<br>8.16<br>7.73<br>7.68 | 6.57<br>6.05<br>5.60<br>5.30 |\n| 15<br>15<br>15<br>15 | 20<br>30<br>40<br>50 | 12.54<br>11.27<br>10.20<br>9.78 | 9.77<br>7.91<br>7.70<br>6.44 |","| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",0]
["| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |\n| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |\n| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |\n| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |","| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |\n| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |",1]
["| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |\n| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |\n| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |\n| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |","| AverageF1score |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 30 | 50 | 100 | 200 | 500 | 10 | 30 | 50 | 100 | 200 |\n| 53.17 |  |  |  |  |  |  |  |  |  |  |\n| 52.16 | 53.74 | 54.36 | 55.24 | 55.60 | 55.06 | 70.61 | 73.00 | 73.84 | 74.94 | 75.32 |\n| 56.54 | 57.42 | 57.85 | 57.87 | 58.22 | 58.39 | 76.45 | 77.64 | 78.14 | 78.52 | 79.07 |\n| 56.27 | 57.74 | 58.49 | 58.76 | 59.12 | 58.88 | 75.04 | 77.83 | 78.72 | 79.23 | 79.67 |\n| 58.66 | 60.04 | 60.56 | 60.18 | 60.48 | 60.17 | 78.25 | 80.15 | 80.59 | 80.20 | 80.27 |",0]
["| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |\n| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |\n| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |\n| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |\n| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |","| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |",1]
["| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |\n| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |\n| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |\n| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |\n| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |","| 52.16 | 53.74 | 54.36 | 55.24 | 55.60 | 55.06 | 70.61 | 73.00 | 73.84 | 74.94 | 75.32 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 56.54 | 57.42 | 57.85 | 57.87 | 58.22 | 58.39 | 76.45 | 77.64 | 78.14 | 78.52 | 79.07 |\n| 56.27 | 57.74 | 58.49 | 58.76 | 59.12 | 58.88 | 75.04 | 77.83 | 78.72 | 79.23 | 79.67 |\n| 58.66 | 60.04 | 60.56 | 60.18 | 60.48 | 60.17 | 78.25 | 80.15 | 80.59 | 80.20 | 80.27 |",0]
["| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |\n| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 |  |  |\n| 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 |  |  |\n| ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 |  |  |\n| Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |\n| 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 |  |  |\n| 4-4 | 155.35 | 237.61 | §<br>max | – | – |  |  |\n| Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 |  |  |\n| MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |\n| 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 |  |  |\n| 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 |  |  |\n| Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 |  |  |","| Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 |  |\n| 4-4 | 150.94 | 230.17 | max | – | – |  |\n| Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 |  |",1]
["| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |\n| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 |  |  |\n| 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 |  |  |\n| ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 |  |  |\n| Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |\n| 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 |  |  |\n| 4-4 | 155.35 | 237.61 | §<br>max | – | – |  |  |\n| Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 |  |  |\n| MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |\n| 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 |  |  |\n| 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 |  |  |\n| Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 |  |  |","| Cell | Mode | Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 7.77 | 8.38 | 8.50 | 1.01 | 1.09 |\n| 2 | 15.22 | 16.59 | 17.52 | 1.06 | 1.15 |  |  |\n| 4 | 28.94 | 31.90 | 34.30 | 1.08 | 1.19 |  |  |\n| 8 | 39.78 | 55.36 | 63.00 | 1.14 | 1.58 |  |  |\n| 16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |  |  |\n| ‡<br>Mean | 26.29 | 34.53 | 44.13 | 1.16 | 1.42 |  |  |\n| Read | 1 | 27.78 | 36.66 | 47.89 | 1.31 | 1.72 |  |\n| 2 | 42.78 | 67.16 | 70.47 | 1.05 | 1.65 |  |  |\n| 4 | 42.75 | 67.13 | 117.68 | 1.75 | 2.75 |  |  |\n| 8 | 42.72 | 67.11 | 117.64 | 1.75 | 2.75 |  |  |\n| 16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |  |\n| Mean | 39.74 | 61.03 | 94.25 | 1.49 | 2.26 |  |  |\n| MLC | Write | 1 | 4.43 | 4.55 | 4.65 | 1.02 | 1.05 |\n| 2 | 8.36 | 8.85 | 9.24 | 1.04 | 1.11 |  |  |\n| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 |  |  |\n| 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 |  |  |\n| 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |  |  |\n| Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 |  |  |\n| Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 |  |\n| 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 |  |  |\n| 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 |  |  |\n| 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 |  |  |\n| 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |  |\n| Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 |  |  |",0]
["| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |","| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 |  |  |\n| ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 |  |  |\n| Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |\n| 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 |  |  |\n| 4-4 | 155.35 | 237.61 | §<br>max | – | – |  |  |\n| Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 |  |  |\n| MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |\n| 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 |  |  |\n| 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 |  |  |\n| Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 |  |  |\n| Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 |  |  |\n| 4-4 | 150.94 | 230.17 | max | – | – |  |  |\n| Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 |  |  |",1]
["| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |","| 4 | 15.24 | 16.75 | 18.13 | 1.08 | 1.19 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | 25.86 | 29.72 | 34.08 | 1.15 | 1.32 |  |\n| 16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |  |\n| Mean | 17.27 | 21.17 | 24.67 | 1.11 | 1.26 |  |\n| Read | 1 | 26.04 | 33.58 | 42.69 | 1.27 | 1.64 |\n| 2 | 41.59 | 60.41 | 77.19 | 1.28 | 1.86 |  |\n| 4 | 41.55 | 64.76 | 101.61 | 1.57 | 2.45 |  |\n| 8 | 41.52 | 64.75 | 110.56 | 1.71 | 2.66 |  |\n| 16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| Mean | 38.44 | 57.65 | 88.51 | 1.49 | 2.21 |  |",0]
["| Query | MEM1 | MEM2 | MEM3 |\n| --- | --- | --- | --- |\n| NG1 | 446 | 1757 | 7057 |\n| NG2 | 3 | 6 | 13 |\n| NG3 | 52 | 105 | 203 |\n| NG4 | 0 | 0 | 0 |\n| NG5 | 27 | 104 | 465 |","| NG6 | 434 | 1666 | 6974 |\n| --- | --- | --- | --- |\n| NG7 | 11 | 22 | 46 |\n| NG8 | 53 | 100 | 202 |\n| NG11 | 533 | 1773 | 7208 |\n| NG12 | 12 | 23 | 61 |\n| NG13 | 53 | 109 | 220 |\n| NG14 | 446 | 1774 | 7106 |\n| NG15 | 454 | 1869 | 7367 |\n| NG16 | 12 | 28 | 49 |\n| NG17 | 55 | 135 | 227 |",1]
["| Query | MEM1 | MEM2 | MEM3 |\n| --- | --- | --- | --- |\n| NG1 | 446 | 1757 | 7057 |\n| NG2 | 3 | 6 | 13 |\n| NG3 | 52 | 105 | 203 |\n| NG4 | 0 | 0 | 0 |\n| NG5 | 27 | 104 | 465 |","| Query | NAT1 | NAT2 | NAT3 | NATR1 |\n| --- | --- | --- | --- | --- |\n| NG1 | 590 | 2489 | 10056 | 2475 |\n| NG2 | 3 | 10 | 24 | 11 |\n| NG3 | 63 | 128 | 256 | 248 |\n| NG4 | 1839 | N/A | N/A | N/A |\n| NG5 | 204 | 702 | 2965 | 94 |\n| NG6 | 355 | 2474 | 10225 | 2242 |\n| NG7 | 19 | 33 | 76 | 37 |\n| NG8 | 142 | 124 | 256 | 241 |\n| NG11 | 637 | 2645 | 10406 | 2269 |\n| NG12 | 17 | 36 | 79 | 37 |\n| NG13 | 64 | 128 | 265 | 241 |\n| NG14 | 720 | 5886 | 11777 | 2413 |\n| NG15 | 678 | 2714 | 10696 | 2334 |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",0]
["| Query | MEM1 | MEM2 | MEM3 |\n| --- | --- | --- | --- |\n| NG1 | 446 | 1757 | 7057 |\n| NG2 | 3 | 6 | 13 |\n| NG3 | 52 | 105 | 203 |\n| NG4 | 0 | 0 | 0 |\n| NG5 | 27 | 104 | 465 |\n| NG6 | 434 | 1666 | 6974 |","| NG7 | 11 | 22 | 46 |\n| --- | --- | --- | --- |\n| NG8 | 53 | 100 | 202 |\n| NG11 | 533 | 1773 | 7208 |\n| NG12 | 12 | 23 | 61 |\n| NG13 | 53 | 109 | 220 |\n| NG14 | 446 | 1774 | 7106 |\n| NG15 | 454 | 1869 | 7367 |\n| NG16 | 12 | 28 | 49 |\n| NG17 | 55 | 135 | 227 |",1]
["| Query | MEM1 | MEM2 | MEM3 |\n| --- | --- | --- | --- |\n| NG1 | 446 | 1757 | 7057 |\n| NG2 | 3 | 6 | 13 |\n| NG3 | 52 | 105 | 203 |\n| NG4 | 0 | 0 | 0 |\n| NG5 | 27 | 104 | 465 |\n| NG6 | 434 | 1666 | 6974 |","| NG8 | 142 | 124 | 256 | 241 |\n| --- | --- | --- | --- | --- |\n| NG11 | 637 | 2645 | 10406 | 2269 |\n| NG12 | 17 | 36 | 79 | 37 |\n| NG13 | 64 | 128 | 265 | 241 |\n| NG14 | 720 | 5886 | 11777 | 2413 |\n| NG15 | 678 | 2714 | 10696 | 2334 |\n| NG16 | 19 | 37 | 103 | 34 |\n| NG17 | 69 | 131 | 268 | 240 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Imageandscheme | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| PlainLena | 0.9481 | 0.9737 | 0.9244 |","| EncryptedLena | −0.0014 | 0.0025 | 0.0051 |\n| --- | --- | --- | --- |\n| PlainBaboon | 0.8701 | 0.8411 | 0.7889 |\n| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |\n| PlainCameraman | 0.9556 | 0.9738 | 0.934 |\n| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |\n| PlainPirate | 0.9434 | 0.9564 | 0.9134 |\n| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |",1]
["| Imageandscheme | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| PlainLena | 0.9481 | 0.9737 | 0.9244 |","| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| --- | --- | --- | --- | --- |\n| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |\n| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |\n| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |\n| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |\n| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |\n| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",0]
["| Imageandscheme | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| PlainLena | 0.9481 | 0.9737 | 0.9244 |","| EncryptedLena | −0.0014 | 0.0025 | 0.0051 |\n| --- | --- | --- | --- |\n| PlainBaboon | 0.8701 | 0.8411 | 0.7889 |\n| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |\n| PlainCameraman | 0.9556 | 0.9738 | 0.934 |\n| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |\n| PlainPirate | 0.9434 | 0.9564 | 0.9134 |\n| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |",1]
["| Imageandscheme | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| PlainLena | 0.9481 | 0.9737 | 0.9244 |","| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| --- | --- | --- | --- | --- |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |\n| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",0]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 |","| {A,B}11 | 1840 | 61.97 | 20.26 | 11.77 | 5.42 | 4.12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| {A,B}12 | 2020 | 64.81 | 20.83 | 11.99 | 5.42 | 4.12 |\n| {A,B}21 | 1980 | 63.56 | 20.33 | 11.60 | 5.08 | 4.09 |\n| {A,B}22 | 2160 | 71.55 | 23.78 | 14.11 | 6.34 | 4.19 |\n| {B,B}12 | 2300 | 92.74 | 32.14 | 19.00 | 7.45 | 4.26 |",1]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 |","|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 3700 | 130.38 | 44.68 | 26.59 | 10.79 | 6.36 |\n| {A,B}11 | 3840 | 123.29 | 39.46 | 22.42 | 8.57 | 6.18 |\n| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |\n| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |\n| {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |\n| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |",0]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 |\n| {A,B}11 | 1840 | 61.97 | 20.26 | 11.77 | 5.42 | 4.12 |","| {A,B}12 | 2020 | 64.81 | 20.83 | 11.99 | 5.42 | 4.12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| {A,B}21 | 1980 | 63.56 | 20.33 | 11.60 | 5.08 | 4.09 |\n| {A,B}22 | 2160 | 71.55 | 23.78 | 14.11 | 6.34 | 4.19 |\n| {B,B}12 | 2300 | 92.74 | 32.14 | 19.00 | 7.45 | 4.26 |",1]
["|  | Valueofpinthep-norm |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Committee | 1 | 2 | 3 | 4 | 10 | 100 |\n| {A,A}12 | 1700 | 78.74 | 28.68 | 17.42 | 7.19 | 4.24 |\n| {A,B}11 | 1840 | 61.97 | 20.26 | 11.77 | 5.42 | 4.12 |","| {A,B}12 | 3020 | 101.39 | 33.76 | 19.82 | 8.38 | 6.18 |\n| --- | --- | --- | --- | --- | --- | --- |\n| {A,B}21 | 4980 | 161.12 | 51.97 | 29.73 | 11.21 | 6.39 |\n| {A,B}22 | 4160 | 133.27 | 42.74 | 24.41 | 9.65 | 6.28 |\n| {B,B}12 | 4300 | 147.65 | 49.38 | 28.84 | 11.18 | 6.38 |",0]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 |\n| Modiﬁed | d=5 | 17.24 | 12.61 | 11.79 | 12.08 | 12.82 | 10.36 | 18.81 | 12.36 | 9.38 |\n| Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 |\n| Modiﬁed | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 |","| Ayers | d=15 | 10.52 | 13.85 | 12.71 | 14.85 | 13.49 | 15.64 | 18.38 | 9.01 | 7.20 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Modiﬁed | d=15 | 20.96 | 11.70 | 16.14 | 12.99 | 20.76 | 19.80 | 21.23 | 15.08 | 11.42 |",1]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 |\n| Modiﬁed | d=5 | 17.24 | 12.61 | 11.79 | 12.08 | 12.82 | 10.36 | 18.81 | 12.36 | 9.38 |\n| Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 |\n| Modiﬁed | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 |","| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 5.39 | 17.98 | 6.13 | 9.20 | 8.22 | 5.52 | 12.31 | 7.52 | 6.79 |\n| Modiﬁed | d=5 | 9.16 | 11.00 | 10.36 | 11.80 | 9.85 | 10.37 | 16.49 | 8.90 | 10.86 |\n| Ayers | d=10 | 4.57 | 5.25 | 5.12 | 8.70 | 7.61 | 10.93 | 13.51 | 6.52 | 7.70 |\n| Modiﬁed | d=10 | 11.14 | 9.41 | 9.81 | 11.61 | 9.96 | 12.80 | 16.04 | 9.45 | 11.45 |\n| Ayers | d=15 | 4.94 | 5.30 | 5.90 | 7.81 | 6.33 | 7.76 | 11.49 | 8.47 | 5.56 |\n| Modiﬁed | d=15 | 9.00 | 10.60 | 11.51 | 12.04 | 10.31 | 10.49 | 14.16 | 10.72 | 10.99 |",0]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 |","| Modiﬁed | d=5 | 17.24 | 12.61 | 11.79 | 12.08 | 12.82 | 10.36 | 18.81 | 12.36 | 9.38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=10 | 16.36 | 7.04 | 8.04 | 9.63 | 24.20 | 10.58 | 19.26 | 9.58 | 16.78 |\n| Modiﬁed | d=10 | 15.30 | 13.01 | 12.58 | 11.86 | 16.86 | 16.33 | 20.44 | 11.61 | 10.47 |\n| Ayers | d=15 | 10.52 | 13.85 | 12.71 | 14.85 | 13.49 | 15.64 | 18.38 | 9.01 | 7.20 |\n| Modiﬁed | d=15 | 20.96 | 11.70 | 16.14 | 12.99 | 20.76 | 19.80 | 21.23 | 15.08 | 11.42 |",1]
["| Method | Filterradius | Im-1 | Im-2 | Im-3 | Im-4 | Im-5 | Im-6 | Im-7 | Im-8 | Im-9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ayers | d=5 | 6.37 | 6.92 | 7.03 | 8.10 | 9.08 | 8.69 | 15.64 | 8.44 | 10.17 |","| Ayers | d=15 | 4.94 | 5.30 | 5.90 | 7.81 | 6.33 | 7.76 | 11.49 | 8.47 | 5.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Modiﬁed | d=15 | 9.00 | 10.60 | 11.51 | 12.04 | 10.31 | 10.49 | 14.16 | 10.72 | 10.99 |",0]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r1 | SMGavaskar | 125 | 10122 | 236 | s1 |\n| r2 | LalaAmarnath | 24 | 878 | 118 | s1 |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r4 | Gavaskar | 125 | 10122 | 236 | s2 |\n| r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |\n| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |\n| r7 | SunilGavaskar | 125 | 10122 | 236 | s3 |\n| r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |","| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| --- | --- | --- | --- | --- | --- |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",1]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r1 | SMGavaskar | 125 | 10122 | 236 | s1 |\n| r2 | LalaAmarnath | 24 | 878 | 118 | s1 |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r4 | Gavaskar | 125 | 10122 | 236 | s2 |\n| r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |\n| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |\n| r7 | SunilGavaskar | 125 | 10122 | 236 | s3 |\n| r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |","| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |\n| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",0]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r1 | SMGavaskar | 125 | 10122 | 236 | s1 |\n| r2 | LalaAmarnath | 24 | 878 | 118 | s1 |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r4 | Gavaskar | 125 | 10122 | 236 | s2 |\n| r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |","| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |\n| --- | --- | --- | --- | --- | --- |\n| r7 | SunilGavaskar | 125 | 10122 | 236 | s3 |\n| r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |\n| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",1]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r1 | SMGavaskar | 125 | 10122 | 236 | s1 |\n| r2 | LalaAmarnath | 24 | 878 | 118 | s1 |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r4 | Gavaskar | 125 | 10122 | 236 | s2 |\n| r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |","| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |\n| --- | --- | --- | --- | --- | --- |\n| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",0]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 256×128 | 128×32 | 256×144 | 128×128 | 512×128 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |",1]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 256×128 | 128×32 | 256×144 | 128×128 | 512×128 |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |\n| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |\n| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |\n| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |\n| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 256×128 | 128×32 | 256×144 | 128×128 | 512×128 |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 256×128 | 128×32 | 256×144 | 128×128 | 512×128 |\n|  |  |  |  |  |\n|  |  |  |  |  |","| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["| Cr | craigslist.org |\n| --- | --- |\n| Ye | yelp.com |\n| Am | amazon.com |","| Sp | spiegel.de |\n| --- | --- |\n| Wi | wikipedia.org |\n| Yo | youtube.com |\n| Cn | cnn.com |\n| Gu | guardian.co.uk |\n| Hu | humanevents.com |\n| Bb | bbc.co.uk |",1]
["| Cr | craigslist.org |\n| --- | --- |\n| Ye | yelp.com |\n| Am | amazon.com |","| Referrer | Clicks |\n| --- | --- |\n| http://www.google.com | 980 |\n| http://m.facebook.com | 670 |\n| http://fasebook.c0m.at | 640 |\n| http://www.facebook.com | 550 |\n| http://www.clixsense.com | 220 |\n| http://www.youtube.com | 181 |\n| http://servinox.com.co | 132 |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",0]
["| Cr | craigslist.org |\n| --- | --- |\n| Ye | yelp.com |\n| Am | amazon.com |\n| Sp | spiegel.de |\n| Wi | wikipedia.org |\n| Yo | youtube.com |\n| Cn | cnn.com |\n| Gu | guardian.co.uk |","| Hu | humanevents.com |\n| --- | --- |\n| Bb | bbc.co.uk |",1]
["| Cr | craigslist.org |\n| --- | --- |\n| Ye | yelp.com |\n| Am | amazon.com |\n| Sp | spiegel.de |\n| Wi | wikipedia.org |\n| Yo | youtube.com |\n| Cn | cnn.com |\n| Gu | guardian.co.uk |","| http://m.facebook.com | 670 |\n| --- | --- |\n| http://fasebook.c0m.at | 640 |\n| http://www.facebook.com | 550 |\n| http://www.clixsense.com | 220 |\n| http://www.youtube.com | 181 |\n| http://servinox.com.co | 132 |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",0]
["| Network | \\|V\\| | \\|E\\| | Time(sec) |\n| --- | --- | --- | --- |\n| abilene | 12 | 15 | 1.91 |\n| dfn-bwin | 10 | 45 | 3.08 |\n| atlanta | 15 | 22 | 5.28 |\n| dfn-gwin | 11 | 47 | 13.91 |\n| geant | 22 | 36 | 23.69 |","| france | 25 | 45 | 44.38 |\n| --- | --- | --- | --- |\n| india35 | 35 | 57 | 105.89 |",1]
["| Network | \\|V\\| | \\|E\\| | Time(sec) |\n| --- | --- | --- | --- |\n| abilene | 12 | 15 | 1.91 |\n| dfn-bwin | 10 | 45 | 3.08 |\n| atlanta | 15 | 22 | 5.28 |\n| dfn-gwin | 11 | 47 | 13.91 |\n| geant | 22 | 36 | 23.69 |","| wirei | Delays |  |  |\n| --- | --- | --- | --- |\n| OLC | FPC | FOC |  |\n| 1 | 55.36 | 107.43 | 107.73 |\n| 2 | 32.20 | 102.71 | 159.65 |\n| 3 | 51.40 | 106.65 | 154.59 |\n| 4 | 51.06 | 101.91 | 162.61 |\n| 5 | 50.79 | 101.89 | 162.77 |\n| 6 | 51.39 | 106.53 | 154.62 |\n| 7 | 32.46 | 102.72 | 160.61 |\n| 8 | 55.36 | 107.39 | 108.88 |\n|  | 73.50 | 141.45 | 209.40 |\n| T | 62.09 | 106.43 | 152.24 |\n| T | 53.43 | 98.76 | 98.76 |\n| T | 42.52 | 102.84 | 157.64 |",0]
["| Network | \\|V\\| | \\|E\\| | Time(sec) |\n| --- | --- | --- | --- |\n| abilene | 12 | 15 | 1.91 |\n| dfn-bwin | 10 | 45 | 3.08 |\n| atlanta | 15 | 22 | 5.28 |","| dfn-gwin | 11 | 47 | 13.91 |\n| --- | --- | --- | --- |\n| geant | 22 | 36 | 23.69 |\n| france | 25 | 45 | 44.38 |\n| india35 | 35 | 57 | 105.89 |",1]
["| Network | \\|V\\| | \\|E\\| | Time(sec) |\n| --- | --- | --- | --- |\n| abilene | 12 | 15 | 1.91 |\n| dfn-bwin | 10 | 45 | 3.08 |\n| atlanta | 15 | 22 | 5.28 |","| 4 | 51.06 | 101.91 | 162.61 |\n| --- | --- | --- | --- |\n| 5 | 50.79 | 101.89 | 162.77 |\n| 6 | 51.39 | 106.53 | 154.62 |\n| 7 | 32.46 | 102.72 | 160.61 |\n| 8 | 55.36 | 107.39 | 108.88 |\n|  | 73.50 | 141.45 | 209.40 |\n| T | 62.09 | 106.43 | 152.24 |\n| T | 53.43 | 98.76 | 98.76 |\n| T | 42.52 | 102.84 | 157.64 |",0]
["| PhysicalProperty | CapacityMetric | Benchmark | Version |\n| --- | --- | --- | --- |\n| Communication | DataThroughput | Iperf | 2.0.5 |\n| Computation | (Latency)Score | HardInfo | 0.5.1 |","| Memory | DataThroughput | STREAM | 5.10 |\n| --- | --- | --- | --- |\n| Storage | TransactionSpeed | Bonnie++ | 1.97.1 |\n| Storage | DataThroughput | Bonnie++ | 1.97.1 |",1]
["| PhysicalProperty | CapacityMetric | Benchmark | Version |\n| --- | --- | --- | --- |\n| Communication | DataThroughput | Iperf | 2.0.5 |\n| Computation | (Latency)Score | HardInfo | 0.5.1 |","|  | L1D | L1I | L2 | L3 |\n| --- | --- | --- | --- | --- |\n| Type | WB | WB | WB | MESICoherent |\n| Size | 32KB | 32KB | 256KB | 12MB |\n| LineSize | 64 | 64 | 64 | 64 |\n| Associative | 8 | 4 | 8 | 16 |\n| Latency | 4 | 2 | 6 | 27 |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",0]
["| PhysicalProperty | CapacityMetric | Benchmark | Version |\n| --- | --- | --- | --- |\n| Communication | DataThroughput | Iperf | 2.0.5 |\n| Computation | (Latency)Score | HardInfo | 0.5.1 |\n| Memory | DataThroughput | STREAM | 5.10 |","| Storage | TransactionSpeed | Bonnie++ | 1.97.1 |\n| --- | --- | --- | --- |\n| Storage | DataThroughput | Bonnie++ | 1.97.1 |",1]
["| PhysicalProperty | CapacityMetric | Benchmark | Version |\n| --- | --- | --- | --- |\n| Communication | DataThroughput | Iperf | 2.0.5 |\n| Computation | (Latency)Score | HardInfo | 0.5.1 |\n| Memory | DataThroughput | STREAM | 5.10 |","| Latency | 4 | 2 | 6 | 27 |\n| --- | --- | --- | --- | --- |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",0]
["| Category | #3Dmodels | #objects |\n| --- | --- | --- |\n| Bedrooms | 11 | 428 |\n| OﬃceScenes | 15 | 1,203 |","| Kitchens | 11 | 797 |\n| --- | --- | --- |\n| LivingRooms | 10 | 715 |\n| Bathrooms | 10 | 556 |",1]
["| Category | #3Dmodels | #objects |\n| --- | --- | --- |\n| Bedrooms | 11 | 428 |\n| OﬃceScenes | 15 | 1,203 |","| category | ours |  |  |\n| --- | --- | --- | --- |\n| bathtub | 0.0152 | 0.0266 | 0.0621 |\n| bed | 0.0068 | 0.0240 | 0.0617 |\n| chair | 0.0118 | 0.0238 | 0.0444 |\n| desk | 0.0122 | 0.0298 | 0.0731 |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |\n| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",0]
["| Category | #3Dmodels | #objects |\n| --- | --- | --- |\n| Bedrooms | 11 | 428 |","| OﬃceScenes | 15 | 1,203 |\n| --- | --- | --- |\n| Kitchens | 11 | 797 |\n| LivingRooms | 10 | 715 |\n| Bathrooms | 10 | 556 |",1]
["| Category | #3Dmodels | #objects |\n| --- | --- | --- |\n| Bedrooms | 11 | 428 |","| desk | 0.0122 | 0.0298 | 0.0731 |\n| --- | --- | --- | --- |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |\n| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",0]
["| Elevation | Azimuth | LightDirection |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | L1 | SSIM | L1 | SSIM | L1 | SSIM |\n| .923 | .107 | .923 | .108 | .941 | .093 | .925 |\n| .864 | .158 | .863 | .180 | .824 | .209 | .848 |\n| .799 | .166 | .812 | .157 | .806 | .209 | .795 |\n| .784 | .177 | .782 | .184 | .604 | .243 | .763 |\n| .748 | .184 | .520 | .335 | .850 | .271 | .737 |","| .777 | .175 | .521 | .338 | .856 | .270 | .751 |\n| --- | --- | --- | --- | --- | --- | --- |\n| .766 | .192 | .657 | .282 | .685 | .225 | .641 |",1]
["| Elevation | Azimuth | LightDirection |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | L1 | SSIM | L1 | SSIM | L1 | SSIM |\n| .923 | .107 | .923 | .108 | .941 | .093 | .925 |\n| .864 | .158 | .863 | .180 | .824 | .209 | .848 |\n| .799 | .166 | .812 | .157 | .806 | .209 | .795 |\n| .784 | .177 | .782 | .184 | .604 | .243 | .763 |\n| .748 | .184 | .520 | .335 | .850 | .271 | .737 |","|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.733 | 4.6000 | 24.92 | 0.7429 |\n| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| MEN | 23.50 | 0.6942 | 1.9833 | 23.97 | 0.7052 | 2.1167 | 24.46 | 0.7197 |\n| AEN | 24.14 | 0.7274 | 3.2333 | 24.62 | 0.7411 | 3.3000 | 24.97 | 0.7533 |\n| CEN | 24.42 | 0.7397 | 4.1000 | 24.82 | 0.7545 | 4.0500 | 25.20 | 0.7646 |",0]
["| Elevation | Azimuth | LightDirection |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | L1 | SSIM | L1 | SSIM | L1 | SSIM |\n| .923 | .107 | .923 | .108 | .941 | .093 | .925 |\n| .864 | .158 | .863 | .180 | .824 | .209 | .848 |\n| .799 | .166 | .812 | .157 | .806 | .209 | .795 |\n| .784 | .177 | .782 | .184 | .604 | .243 | .763 |\n| .748 | .184 | .520 | .335 | .850 | .271 | .737 |","| .777 | .175 | .521 | .338 | .856 | .270 | .751 |\n| --- | --- | --- | --- | --- | --- | --- |\n| .766 | .192 | .657 | .282 | .685 | .225 | .641 |",1]
["| Elevation | Azimuth | LightDirection |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | L1 | SSIM | L1 | SSIM | L1 | SSIM |\n| .923 | .107 | .923 | .108 | .941 | .093 | .925 |\n| .864 | .158 | .863 | .180 | .824 | .209 | .848 |\n| .799 | .166 | .812 | .157 | .806 | .209 | .795 |\n| .784 | .177 | .782 | .184 | .604 | .243 | .763 |\n| .748 | .184 | .520 | .335 | .850 | .271 | .737 |","| AEN | 24.14 | 0.7274 | 3.2333 | 24.62 | 0.7411 | 3.3000 | 24.97 | 0.7533 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CEN | 24.42 | 0.7397 | 4.1000 | 24.82 | 0.7545 | 4.0500 | 25.20 | 0.7646 |",0]
["| Axon | meanvalue[mA] | standarddeviation[mA] |\n| --- | --- | --- |\n| 1 | 0.14 | 0.01 |\n| 2 | 0.56 | 0.06 |\n| 3 | 1.44 | 0.15 |\n| 4 | 2.97 | 0.31 |\n| 5 | 5.30 | 0.56 |\n| 6 | 8.65 | 0.91 |\n| 7 | 13.20 | 1.39 |","| 8 | 19.15 | 2.02 |\n| --- | --- | --- |\n| 9 | 26.67 | 2.81 |\n| 10 | 36.06 | 3.80 |",1]
["| Axon | meanvalue[mA] | standarddeviation[mA] |\n| --- | --- | --- |\n| 1 | 0.14 | 0.01 |\n| 2 | 0.56 | 0.06 |\n| 3 | 1.44 | 0.15 |\n| 4 | 2.97 | 0.31 |\n| 5 | 5.30 | 0.56 |\n| 6 | 8.65 | 0.91 |\n| 7 | 13.20 | 1.39 |","|  | AFLWDataset(21pts) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | [0,30] | (30,60] | (60,90] | mean | std |\n| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |\n| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |\n| VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |\n| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |",0]
["| Axon | meanvalue[mA] | standarddeviation[mA] |\n| --- | --- | --- |\n| 1 | 0.14 | 0.01 |\n| 2 | 0.56 | 0.06 |\n| 3 | 1.44 | 0.15 |\n| 4 | 2.97 | 0.31 |","| 5 | 5.30 | 0.56 |\n| --- | --- | --- |\n| 6 | 8.65 | 0.91 |\n| 7 | 13.20 | 1.39 |\n| 8 | 19.15 | 2.02 |\n| 9 | 26.67 | 2.81 |\n| 10 | 36.06 | 3.80 |",1]
["| Axon | meanvalue[mA] | standarddeviation[mA] |\n| --- | --- | --- |\n| 1 | 0.14 | 0.01 |\n| 2 | 0.56 | 0.06 |\n| 3 | 1.44 | 0.15 |\n| 4 | 2.97 | 0.31 |","| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |\n| --- | --- | --- | --- | --- | --- |\n| VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |\n| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |",0]
["| image | sizer | size(array) | size(mtbdd)<br>(1)(2) |\n| --- | --- | --- | --- |\n| image0 | 27040000 | 81120 | 5134329 |","| image1 | 1166400 | 3499 | 44615 |\n| --- | --- | --- | --- |\n| image2 | 5760000 | 17280 | 801746 |\n| image3 | 29160000 | 87480 | 32911635 |\n| image4 | 29160000 | 87480 | 6991148 |",1]
["| image | sizer | size(array) | size(mtbdd)<br>(1)(2) |\n| --- | --- | --- | --- |\n| image0 | 27040000 | 81120 | 5134329 |","| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3574 | 134.612236 |\n| image1 | 32.01 | 1.7841.90 |\n| image2 | 350.72 | 13.88285.48 |\n| image3 | 4000 | 214.641898.21 |\n| image4 | sameasimage3 | 148.95533.52 |",0]
["| image | sizer | size(array) | size(mtbdd)<br>(1)(2) |\n| --- | --- | --- | --- |\n| image0 | 27040000 | 81120 | 5134329 |\n| image1 | 1166400 | 3499 | 44615 |","| image2 | 5760000 | 17280 | 801746 |\n| --- | --- | --- | --- |\n| image3 | 29160000 | 87480 | 32911635 |\n| image4 | 29160000 | 87480 | 6991148 |",1]
["| image | sizer | size(array) | size(mtbdd)<br>(1)(2) |\n| --- | --- | --- | --- |\n| image0 | 27040000 | 81120 | 5134329 |\n| image1 | 1166400 | 3499 | 44615 |","| image3 | 4000 | 214.641898.21 |\n| --- | --- | --- |\n| image4 | sameasimage3 | 148.95533.52 |",0]
["| N | Thesetofallusers | W | ThesetofallBSs |\n| --- | --- | --- | --- |\n| K | Thesetofallchannels | Kw | ThesetofchannelsbelongstoBSw |\n| \\|h\\|i | Thechannelgainofuserionchannelk | pw | ThetransmitpowerofBSwonchannelk |","| p¯w | ThepowerbudgetforBSw | βw | TheuserassignmentofBSwonchannelk |\n| --- | --- | --- | --- |\n| a | Theassociationproﬁle | a−i | Theassociationproﬁlewithoutuseri |\n| r(a)i | Therateassignedtouseri | R(a)w | TheoptimalthroughputofBSwundera |\n| R(a) | Theoptimalsystemthroughputundera | N(a)w | ThesetofusersassociatedtoBSw |\n| U(a)i | Theutilityofuseri | T(a)i | Thetaximposedonuseri |",1]
["| N | Thesetofallusers | W | ThesetofallBSs |\n| --- | --- | --- | --- |\n| K | Thesetofallchannels | Kw | ThesetofchannelsbelongstoBSw |\n| \\|h\\|i | Thechannelgainofuserionchannelk | pw | ThetransmitpowerofBSwonchannelk |","| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands |\n| 2 | HandsClean,HandsWashed | tapoﬀ | Rn:tapoﬀ | Turnontap |\n| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |\n| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |\n| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnoﬀtap |\n| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoﬀ | Af:handswashed | Taskcomplete |",0]
["| N | Thesetofallusers | W | ThesetofallBSs |\n| --- | --- | --- | --- |\n| K | Thesetofallchannels | Kw | ThesetofchannelsbelongstoBSw |\n| \\|h\\|i | Thechannelgainofuserionchannelk | pw | ThetransmitpowerofBSwonchannelk |\n| p¯w | ThepowerbudgetforBSw | βw | TheuserassignmentofBSwonchannelk |\n| a | Theassociationproﬁle | a−i | Theassociationproﬁlewithoutuseri |\n| r(a)i | Therateassignedtouseri | R(a)w | TheoptimalthroughputofBSwundera |","| R(a) | Theoptimalsystemthroughputundera | N(a)w | ThesetofusersassociatedtoBSw |\n| --- | --- | --- | --- |\n| U(a)i | Theutilityofuseri | T(a)i | Thetaximposedonuseri |",1]
["| N | Thesetofallusers | W | ThesetofallBSs |\n| --- | --- | --- | --- |\n| K | Thesetofallchannels | Kw | ThesetofchannelsbelongstoBSw |\n| \\|h\\|i | Thechannelgainofuserionchannelk | pw | ThetransmitpowerofBSwonchannelk |\n| p¯w | ThepowerbudgetforBSw | βw | TheuserassignmentofBSwonchannelk |\n| a | Theassociationproﬁle | a−i | Theassociationproﬁlewithoutuseri |\n| r(a)i | Therateassignedtouseri | R(a)w | TheoptimalthroughputofBSwundera |","| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |\n| --- | --- | --- | --- | --- |\n| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnoﬀtap |\n| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoﬀ | Af:handswashed | Taskcomplete |",0]
["|  | XORSAT | COL | XORSATandCOL |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k,q | αp | φp | cp | φp | λ | a | b | ν |\n| 3 | 0.818469 | 0.715332 | 4.910815 | 0.511700 | 0.397953 | 0.422096 | 1.221834 | 1.593787 |\n| 4 | 0.772280 | 0.851001 | 9.267358 | 0.616297 | 0.350174 | 0.433412 | 1.341647 | 1.526313 |","| 5 | 0.701780 | 0.903350 | 14.035605 | 0.665924 | 0.320971 | 0.439997 | 1.421808 | 1.488035 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 0.637081 | 0.930080 | 19.112434 | 0.695986 | 0.300707 | 0.444431 | 1.481191 | 1.462601 |\n| 7 | 0.581775 | 0.945975 | 24.434557 | 0.716600 | 0.285554 | 0.447677 | 1.527913 | 1.444121 |\n| 8 | 0.534997 | 0.956381 | 29.959848 | 0.731841 | 0.273649 | 0.450187 | 1.566174 | 1.429899 |\n| 9 | 0.495255 | 0.963661 | 35.658363 | 0.743697 | 0.263961 | 0.452205 | 1.598411 | 1.418505 |\n| 10 | 0.461197 | 0.969008 | 41.507763 | 0.753261 | 0.255868 | 0.453873 | 1.626162 | 1.409102 |",1]
["|  | XORSAT | COL | XORSATandCOL |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k,q | αp | φp | cp | φp | λ | a | b | ν |\n| 3 | 0.818469 | 0.715332 | 4.910815 | 0.511700 | 0.397953 | 0.422096 | 1.221834 | 1.593787 |\n| 4 | 0.772280 | 0.851001 | 9.267358 | 0.616297 | 0.350174 | 0.433412 | 1.341647 | 1.526313 |","| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |\n| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |\n| 5000 | 0.0016 |  |  |  | 0.99850 |  |\n| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["|  | XORSAT | COL | XORSATandCOL |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k,q | αp | φp | cp | φp | λ | a | b | ν |\n| 3 | 0.818469 | 0.715332 | 4.910815 | 0.511700 | 0.397953 | 0.422096 | 1.221834 | 1.593787 |\n| 4 | 0.772280 | 0.851001 | 9.267358 | 0.616297 | 0.350174 | 0.433412 | 1.341647 | 1.526313 |\n| 5 | 0.701780 | 0.903350 | 14.035605 | 0.665924 | 0.320971 | 0.439997 | 1.421808 | 1.488035 |\n| 6 | 0.637081 | 0.930080 | 19.112434 | 0.695986 | 0.300707 | 0.444431 | 1.481191 | 1.462601 |\n| 7 | 0.581775 | 0.945975 | 24.434557 | 0.716600 | 0.285554 | 0.447677 | 1.527913 | 1.444121 |","| 8 | 0.534997 | 0.956381 | 29.959848 | 0.731841 | 0.273649 | 0.450187 | 1.566174 | 1.429899 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 0.495255 | 0.963661 | 35.658363 | 0.743697 | 0.263961 | 0.452205 | 1.598411 | 1.418505 |\n| 10 | 0.461197 | 0.969008 | 41.507763 | 0.753261 | 0.255868 | 0.453873 | 1.626162 | 1.409102 |",1]
["|  | XORSAT | COL | XORSATandCOL |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| k,q | αp | φp | cp | φp | λ | a | b | ν |\n| 3 | 0.818469 | 0.715332 | 4.910815 | 0.511700 | 0.397953 | 0.422096 | 1.221834 | 1.593787 |\n| 4 | 0.772280 | 0.851001 | 9.267358 | 0.616297 | 0.350174 | 0.433412 | 1.341647 | 1.526313 |\n| 5 | 0.701780 | 0.903350 | 14.035605 | 0.665924 | 0.320971 | 0.439997 | 1.421808 | 1.488035 |\n| 6 | 0.637081 | 0.930080 | 19.112434 | 0.695986 | 0.300707 | 0.444431 | 1.481191 | 1.462601 |\n| 7 | 0.581775 | 0.945975 | 24.434557 | 0.716600 | 0.285554 | 0.447677 | 1.527913 | 1.444121 |","| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["|  | P=0.2 | P=0.4 | P=0.6 | P=0.8 |\n| --- | --- | --- | --- | --- |\n| λ32 | 3.1278811 | 3.6850001 | 3.0605835 | 3.1566209 |\n| λ33 | 2.9093472 | 3.5911018 | 2.9959418 | 2.9694106 |\n| λ34 | 2.8851128 | 3.4984597 | 2.903988 | 2.9241726 |\n| λ35 | 2.8361213 | 3.3609776 | 2.8339349 | 2.9066998 |\n| λ36 | 2.7116889 | 3.2629616 | 2.7802321 | 2.8511868 |\n| λ37 | 2.6410113 | 3.1449082 | 2.7448714 | 2.7909378 |\n| λ38 | 2.62132 | 3.1060263 | 2.5446362 | 2.6124111 |\n| λ39 | 2.5625247 | 3.0036165 | 2.4679447 | 2.591938 |\n| λ40 | 2.4466011 | 2.9296411 | 2.4130114 | 2.5655322 |\n| λ41 | 2.3957291 | 2.7868727 | 2.3229128 | 2.4194093 |\n| λ42 | 2.3022031 | 2.729422 | 2.2821061 | 2.3069397 |\n| λ43 | 2.1920726 | 2.717123 | 2.1595839 | 2.2493672 |\n| λ44 | 2.1758946 | 2.603908 | 2.1373086 | 2.1920309 |\n| λ45 | 2.0950959 | 2.4974377 | 2.0678771 | 2.1697002 |\n| λ46 | 2.0489445 | 2.3755221 | 1.9724868 | 2.0876546 |\n| λ47 | 2.020732 | 2.3495888 | 1.9516421 | 2.0184278 |\n| λ48 | 1.9777077 | 2.2768661 | 1.8642426 | 1.9885042 |\n| λ49 | 1.8766222 | 2.1822128 | 1.8066548 | 1.8790247 |\n| λ50 | 1.7943956 | 2.1355595 | 1.758534 | 1.8591266 |\n| λ51 | 1.7171865 | 2.0430028 | 1.6877656 | 1.7836542 |\n| λ52 | 1.6253386 | 2.022733 | 1.6355071 | 1.6965591 |\n| λ53 | 1.5259488 | 1.9193735 | 1.6129515 | 1.6380111 |\n| λ54 | 1.4965356 | 1.807634 | 1.4445091 | 1.5871297 |\n| λ55 | 1.4114911 | 1.7544899 | 1.3778514 | 1.5641227 |\n| λ56 | 1.381066 | 1.7005373 | 1.3387275 | 1.5194184 |\n| λ57 | 1.3691854 | 1.6217295 | 1.2709127 | 1.3652494 |","| λ58 | 1.2926625 | 1.4695063 | 1.2284464 | 1.2780083 |\n| --- | --- | --- | --- | --- |\n| λ59 | 1.1645091 | 1.4539369 | 1.1474655 | 1.2135036 |\n| λ60 | 1.1101623 | 1.3227765 | 1.1182555 | 1.1747427 |\n| λ61 | 0.9979225 | 1.1870755 | 1.0455127 | 1.120168 |\n| λ62 | 0.9866537 | 1.1730686 | 0.9469073 | 1.0335351 |\n| λ63 | 0.7798336 | 0.9967607 | 0.7994225 | 0.9540748 |\n| λ64 | 4.890E-15 | 3.123E-15 | 8.151E-15 | 6.998E-15 |",1]
["|  | P=0.2 | P=0.4 | P=0.6 | P=0.8 |\n| --- | --- | --- | --- | --- |\n| λ32 | 3.1278811 | 3.6850001 | 3.0605835 | 3.1566209 |\n| λ33 | 2.9093472 | 3.5911018 | 2.9959418 | 2.9694106 |\n| λ34 | 2.8851128 | 3.4984597 | 2.903988 | 2.9241726 |\n| λ35 | 2.8361213 | 3.3609776 | 2.8339349 | 2.9066998 |\n| λ36 | 2.7116889 | 3.2629616 | 2.7802321 | 2.8511868 |\n| λ37 | 2.6410113 | 3.1449082 | 2.7448714 | 2.7909378 |\n| λ38 | 2.62132 | 3.1060263 | 2.5446362 | 2.6124111 |\n| λ39 | 2.5625247 | 3.0036165 | 2.4679447 | 2.591938 |\n| λ40 | 2.4466011 | 2.9296411 | 2.4130114 | 2.5655322 |\n| λ41 | 2.3957291 | 2.7868727 | 2.3229128 | 2.4194093 |\n| λ42 | 2.3022031 | 2.729422 | 2.2821061 | 2.3069397 |\n| λ43 | 2.1920726 | 2.717123 | 2.1595839 | 2.2493672 |\n| λ44 | 2.1758946 | 2.603908 | 2.1373086 | 2.1920309 |\n| λ45 | 2.0950959 | 2.4974377 | 2.0678771 | 2.1697002 |\n| λ46 | 2.0489445 | 2.3755221 | 1.9724868 | 2.0876546 |\n| λ47 | 2.020732 | 2.3495888 | 1.9516421 | 2.0184278 |\n| λ48 | 1.9777077 | 2.2768661 | 1.8642426 | 1.9885042 |\n| λ49 | 1.8766222 | 2.1822128 | 1.8066548 | 1.8790247 |\n| λ50 | 1.7943956 | 2.1355595 | 1.758534 | 1.8591266 |\n| λ51 | 1.7171865 | 2.0430028 | 1.6877656 | 1.7836542 |\n| λ52 | 1.6253386 | 2.022733 | 1.6355071 | 1.6965591 |\n| λ53 | 1.5259488 | 1.9193735 | 1.6129515 | 1.6380111 |\n| λ54 | 1.4965356 | 1.807634 | 1.4445091 | 1.5871297 |\n| λ55 | 1.4114911 | 1.7544899 | 1.3778514 | 1.5641227 |\n| λ56 | 1.381066 | 1.7005373 | 1.3387275 | 1.5194184 |\n| λ57 | 1.3691854 | 1.6217295 | 1.2709127 | 1.3652494 |","| λ | Sims<br>z=1 | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.19356 | 1.19369 | 1.12886 |\n| 0.60 | 1.28239 | 1.28254 | 1.17987 |\n| 0.70 | 1.40813 | 1.40828 | 1.25888 |\n| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |\n| 0.95 | 2.33613 | 2.33539 | 2.68138 |\n| 0.96 | 2.48165 | 2.48041 | 3.10314 |\n| 0.97 | 2.69113 | 2.68903 | 3.80509 |\n| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",0]
["|  | P=0.2 | P=0.4 | P=0.6 | P=0.8 |\n| --- | --- | --- | --- | --- |\n| λ32 | 3.1278811 | 3.6850001 | 3.0605835 | 3.1566209 |\n| λ33 | 2.9093472 | 3.5911018 | 2.9959418 | 2.9694106 |\n| λ34 | 2.8851128 | 3.4984597 | 2.903988 | 2.9241726 |\n| λ35 | 2.8361213 | 3.3609776 | 2.8339349 | 2.9066998 |\n| λ36 | 2.7116889 | 3.2629616 | 2.7802321 | 2.8511868 |\n| λ37 | 2.6410113 | 3.1449082 | 2.7448714 | 2.7909378 |\n| λ38 | 2.62132 | 3.1060263 | 2.5446362 | 2.6124111 |\n| λ39 | 2.5625247 | 3.0036165 | 2.4679447 | 2.591938 |\n| λ40 | 2.4466011 | 2.9296411 | 2.4130114 | 2.5655322 |","| λ41 | 2.3957291 | 2.7868727 | 2.3229128 | 2.4194093 |\n| --- | --- | --- | --- | --- |\n| λ42 | 2.3022031 | 2.729422 | 2.2821061 | 2.3069397 |\n| λ43 | 2.1920726 | 2.717123 | 2.1595839 | 2.2493672 |\n| λ44 | 2.1758946 | 2.603908 | 2.1373086 | 2.1920309 |\n| λ45 | 2.0950959 | 2.4974377 | 2.0678771 | 2.1697002 |\n| λ46 | 2.0489445 | 2.3755221 | 1.9724868 | 2.0876546 |\n| λ47 | 2.020732 | 2.3495888 | 1.9516421 | 2.0184278 |\n| λ48 | 1.9777077 | 2.2768661 | 1.8642426 | 1.9885042 |\n| λ49 | 1.8766222 | 2.1822128 | 1.8066548 | 1.8790247 |\n| λ50 | 1.7943956 | 2.1355595 | 1.758534 | 1.8591266 |\n| λ51 | 1.7171865 | 2.0430028 | 1.6877656 | 1.7836542 |\n| λ52 | 1.6253386 | 2.022733 | 1.6355071 | 1.6965591 |\n| λ53 | 1.5259488 | 1.9193735 | 1.6129515 | 1.6380111 |\n| λ54 | 1.4965356 | 1.807634 | 1.4445091 | 1.5871297 |\n| λ55 | 1.4114911 | 1.7544899 | 1.3778514 | 1.5641227 |\n| λ56 | 1.381066 | 1.7005373 | 1.3387275 | 1.5194184 |\n| λ57 | 1.3691854 | 1.6217295 | 1.2709127 | 1.3652494 |\n| λ58 | 1.2926625 | 1.4695063 | 1.2284464 | 1.2780083 |\n| λ59 | 1.1645091 | 1.4539369 | 1.1474655 | 1.2135036 |\n| λ60 | 1.1101623 | 1.3227765 | 1.1182555 | 1.1747427 |\n| λ61 | 0.9979225 | 1.1870755 | 1.0455127 | 1.120168 |\n| λ62 | 0.9866537 | 1.1730686 | 0.9469073 | 1.0335351 |\n| λ63 | 0.7798336 | 0.9967607 | 0.7994225 | 0.9540748 |\n| λ64 | 4.890E-15 | 3.123E-15 | 8.151E-15 | 6.998E-15 |",1]
["|  | P=0.2 | P=0.4 | P=0.6 | P=0.8 |\n| --- | --- | --- | --- | --- |\n| λ32 | 3.1278811 | 3.6850001 | 3.0605835 | 3.1566209 |\n| λ33 | 2.9093472 | 3.5911018 | 2.9959418 | 2.9694106 |\n| λ34 | 2.8851128 | 3.4984597 | 2.903988 | 2.9241726 |\n| λ35 | 2.8361213 | 3.3609776 | 2.8339349 | 2.9066998 |\n| λ36 | 2.7116889 | 3.2629616 | 2.7802321 | 2.8511868 |\n| λ37 | 2.6410113 | 3.1449082 | 2.7448714 | 2.7909378 |\n| λ38 | 2.62132 | 3.1060263 | 2.5446362 | 2.6124111 |\n| λ39 | 2.5625247 | 3.0036165 | 2.4679447 | 2.591938 |\n| λ40 | 2.4466011 | 2.9296411 | 2.4130114 | 2.5655322 |","| 0.97 | 2.69113 | 2.68903 | 3.80509 |\n| --- | --- | --- | --- |\n| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",0]
["| Country | PhD | Master’s |\n| --- | --- | --- |\n| Portugal | 1,179 | 300 |\n| USA | 891 | 254 |","| UK | 853 | 219 |\n| --- | --- | --- |\n| Spain | 802 | 162 |\n| France | 660 | 248 |\n| Argentina | 584 | 41 |",1]
["| Country | PhD | Master’s |\n| --- | --- | --- |\n| Portugal | 1,179 | 300 |\n| USA | 891 | 254 |","| Department | Timespanofgraduations | #PhDsawarded |\n| --- | --- | --- |\n| AEGEANICSD | 1997–2016 | 31 |\n| AUEBDI | 1997–2017 | 77 |\n| AUTHDI | 1997–2016 | 131 |\n| AUTHECE | 2005–2016 | 173 |\n| CRETECSD | 1992–2016 | 75 |\n| CRETEECE | 1992–2017 | 43 |\n| IOANCSE | 2005–2017 | 43 |\n| IONIODI | 2011–2016 | 11 |\n| NTUAECE | 1993–2016 | 1036 |\n| PATRASECE | 1984–2017 | 341 |\n| PELOPDI | 2006–2017 | 23 |\n| UADI | 2005–2017 | 208 |\n| UNIPIDI | 1991–2017 | 88 |\n| UTHDIB | 2013–2017 | 6 |\n| UTHECE | 2006–2017 | 42 |\n|  | TOTAL | 2328 |",0]
["| Country | PhD | Master’s |\n| --- | --- | --- |\n| Portugal | 1,179 | 300 |","| USA | 891 | 254 |\n| --- | --- | --- |\n| UK | 853 | 219 |\n| Spain | 802 | 162 |\n| France | 660 | 248 |\n| Argentina | 584 | 41 |",1]
["| Country | PhD | Master’s |\n| --- | --- | --- |\n| Portugal | 1,179 | 300 |","| AUTHECE | 2005–2016 | 173 |\n| --- | --- | --- |\n| CRETECSD | 1992–2016 | 75 |\n| CRETEECE | 1992–2017 | 43 |\n| IOANCSE | 2005–2017 | 43 |\n| IONIODI | 2011–2016 | 11 |\n| NTUAECE | 1993–2016 | 1036 |\n| PATRASECE | 1984–2017 | 341 |\n| PELOPDI | 2006–2017 | 23 |\n| UADI | 2005–2017 | 208 |\n| UNIPIDI | 1991–2017 | 88 |\n| UTHDIB | 2013–2017 | 6 |\n| UTHECE | 2006–2017 | 42 |\n|  | TOTAL | 2328 |",0]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 0.81B | 0.78B | 1.4B |\n| sd1 | 4.16B | 5.5B | 7.86B |","| twitter | 1.56B | 2.34B | 3.36B |\n| --- | --- | --- | --- |\n| pld | 1.17B | 1.31B | 2.47B |\n| friendster | 3.7B | 6.1B | - |\n| soclj | 0.75B | 0.36B | 0.1B |",1]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 0.81B | 0.78B | 1.4B |\n| sd1 | 4.16B | 5.5B | 7.86B |","| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 1.3B | 9.9B | 4.2B |\n| sd1 | 4.52B | 52.7B | 19.4B |\n| twitter | 3.43B | 34.2B | 16.3B |\n| pld | 1.66B | 16.7B | 6.9B |\n| friendster | 7.57B | 38.7B | - |\n| soclj | 0.17B | 1.17B | 2.1B |",0]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 0.81B | 0.78B | 1.4B |\n| sd1 | 4.16B | 5.5B | 7.86B |\n| twitter | 1.56B | 2.34B | 3.36B |","| pld | 1.17B | 1.31B | 2.47B |\n| --- | --- | --- | --- |\n| friendster | 3.7B | 6.1B | - |\n| soclj | 0.75B | 0.36B | 0.1B |",1]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 0.81B | 0.78B | 1.4B |\n| sd1 | 4.16B | 5.5B | 7.86B |\n| twitter | 1.56B | 2.34B | 3.36B |","| sd1 | 4.52B | 52.7B | 19.4B |\n| --- | --- | --- | --- |\n| twitter | 3.43B | 34.2B | 16.3B |\n| pld | 1.66B | 16.7B | 6.9B |\n| friendster | 7.57B | 38.7B | - |\n| soclj | 0.17B | 1.17B | 2.1B |",0]
["| ResultsonMomentumData |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |\n| r | 0.4535 | 0.4286 | 0.6906 | 0.6542 | 0.5561 | 0.4972 | 0.7187 |","| Landmark | 8 | 9 | 10 | 11 | 12 | 13 |\n| --- | --- | --- | --- | --- | --- | --- |\n| r | 0.6825 | 0.5348 | 0.6155 | 0.5470 | 0.5554 | 0.4538 |",1]
["| ResultsonMomentumData |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |\n| r | 0.4535 | 0.4286 | 0.6906 | 0.6542 | 0.5561 | 0.4972 | 0.7187 |","| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |\n| 2 | 100 | 0.5 | 35.301 |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |\n| 1 | 100 | 0 | 33.621 |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| ResultsonMomentumData |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |\n| r | 0.4535 | 0.4286 | 0.6906 | 0.6542 | 0.5561 | 0.4972 | 0.7187 |","| Landmark | 8 | 9 | 10 | 11 | 12 | 13 |\n| --- | --- | --- | --- | --- | --- | --- |\n| r | 0.6825 | 0.5348 | 0.6155 | 0.5470 | 0.5554 | 0.4538 |",1]
["| ResultsonMomentumData |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |\n| r | 0.4535 | 0.4286 | 0.6906 | 0.6542 | 0.5561 | 0.4972 | 0.7187 |","| 3 | 100 | 0.5 | 35.564 |\n| --- | --- | --- | --- |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |\n| 1 | 100 | 0 | 33.621 |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| FeatureSet | MetaQNN<br>(CIFAR-10) | ResNets<br>(TinyImageNet) | LSTM<br>(PennTreebank) | Cuda-Convnet<br>(CIFAR-10) |\n| --- | --- | --- | --- | --- |\n| TS | 93.98±0.15 | 86.52±1.85 | 97.81±2.45 | 95.54±0.24 |\n| AP | 27.45±4.25 | 84.33±1.7 | 16.11±1.13 | 1.1±0.6 |\n| HP | 12.60±1.79 | 8.78±1.14 | 3.98±0.88 | 18.19±2.19 |\n| TS+AP | 84.09±1.4 | 88.82±2.95 | 96.92±2.8) | 95.36±0.27 |","| AP+HP | 27.01±5.2 | 81.71±3.9 | 15.97±2.57 | 21.65±2.72 |\n| --- | --- | --- | --- | --- |\n| TS+AP+HP | 94.44±0.14 | 91.8±1.1 | 98.24±2.11 | 95.69±0.15 |",1]
["| FeatureSet | MetaQNN<br>(CIFAR-10) | ResNets<br>(TinyImageNet) | LSTM<br>(PennTreebank) | Cuda-Convnet<br>(CIFAR-10) |\n| --- | --- | --- | --- | --- |\n| TS | 93.98±0.15 | 86.52±1.85 | 97.81±2.45 | 95.54±0.24 |\n| AP | 27.45±4.25 | 84.33±1.7 | 16.11±1.13 | 1.1±0.6 |\n| HP | 12.60±1.79 | 8.78±1.14 | 3.98±0.88 | 18.19±2.19 |\n| TS+AP | 84.09±1.4 | 88.82±2.95 | 96.92±2.8) | 95.36±0.27 |","| MR | CR |\n| --- | --- |\n| 71.11±0.80 | 71.22±1.04 |\n| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |\n| 79.84±1.26 | 83.61±1.60 |\n| MPQA | TREC |\n| 67.93±0.57 | 86.30±1.10 |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",0]
["| FeatureSet | MetaQNN<br>(CIFAR-10) | ResNets<br>(TinyImageNet) | LSTM<br>(PennTreebank) | Cuda-Convnet<br>(CIFAR-10) |\n| --- | --- | --- | --- | --- |\n| TS | 93.98±0.15 | 86.52±1.85 | 97.81±2.45 | 95.54±0.24 |\n| AP | 27.45±4.25 | 84.33±1.7 | 16.11±1.13 | 1.1±0.6 |","| HP | 12.60±1.79 | 8.78±1.14 | 3.98±0.88 | 18.19±2.19 |\n| --- | --- | --- | --- | --- |\n| TS+AP | 84.09±1.4 | 88.82±2.95 | 96.92±2.8) | 95.36±0.27 |\n| AP+HP | 27.01±5.2 | 81.71±3.9 | 15.97±2.57 | 21.65±2.72 |\n| TS+AP+HP | 94.44±0.14 | 91.8±1.1 | 98.24±2.11 | 95.69±0.15 |",1]
["| FeatureSet | MetaQNN<br>(CIFAR-10) | ResNets<br>(TinyImageNet) | LSTM<br>(PennTreebank) | Cuda-Convnet<br>(CIFAR-10) |\n| --- | --- | --- | --- | --- |\n| TS | 93.98±0.15 | 86.52±1.85 | 97.81±2.45 | 95.54±0.24 |\n| AP | 27.45±4.25 | 84.33±1.7 | 16.11±1.13 | 1.1±0.6 |","| MPQA | TREC |\n| --- | --- |\n| 67.93±0.57 | 86.30±1.10 |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",0]
["| Tweetattributes: |\n| --- |\n| Tweettext<br>UniquetweetID<br>†<br>Dateandtimetweetwasposted<br>UTCoﬀset(fromGMT)<br>User’slocation |","| UserID<br>Dateandtimeuser’saccountwascreated<br>User’scurrentfollowercount<br>User’scurrentfriendscount<br>User’stotalnumberoftweets |\n| --- |\n| In-reply-totweetID<br>∗<br>In-reply-touserID |\n| Retweet(Y/N) |",1]
["| Tweetattributes: |\n| --- |\n| Tweettext<br>UniquetweetID<br>†<br>Dateandtimetweetwasposted<br>UTCoﬀset(fromGMT)<br>User’slocation |","| Tweets | 196,985,580 |\n| --- | --- |\n| Users | 9,801,062 |\n| Hashtags | 1,341,733 |\n| TweetswithHashtags | 19,043,104 |\n| Retweets | 15,126,588 |\n| TweetswithURLs | 54,443,857 |\n| Direct(@)Tweets | 41,951,786 |",0]
["| Tweetattributes: |\n| --- |\n| Tweettext<br>UniquetweetID<br>†<br>Dateandtimetweetwasposted<br>UTCoﬀset(fromGMT)<br>User’slocation |","| UserID<br>Dateandtimeuser’saccountwascreated<br>User’scurrentfollowercount<br>User’scurrentfriendscount<br>User’stotalnumberoftweets |\n| --- |\n| In-reply-totweetID<br>∗<br>In-reply-touserID |\n| Retweet(Y/N) |",1]
["| Tweetattributes: |\n| --- |\n| Tweettext<br>UniquetweetID<br>†<br>Dateandtimetweetwasposted<br>UTCoﬀset(fromGMT)<br>User’slocation |","| Hashtags | 1,341,733 |\n| --- | --- |\n| TweetswithHashtags | 19,043,104 |\n| Retweets | 15,126,588 |\n| TweetswithURLs | 54,443,857 |\n| Direct(@)Tweets | 41,951,786 |",0]
["|  | retweet | mention | reply | quote |\n| --- | --- | --- | --- | --- |\n| S↔U | 9.1 | 8.6 | 7.8 | 11.8 |","| S→U | 52.9 | 42 | 63.5 | 60 |\n| --- | --- | --- | --- | --- |\n| S←U | 0.6 | 0.9 | 0.6 | 0.4 |\n| S—U | 37.4 | 48.5 | 28.1 | 27.8 |",1]
["|  | retweet | mention | reply | quote |\n| --- | --- | --- | --- | --- |\n| S↔U | 9.1 | 8.6 | 7.8 | 11.8 |","| Tweetattributes: |\n| --- |\n| Tweettext<br>UniquetweetID<br>†<br>Dateandtimetweetwasposted<br>UTCoﬀset(fromGMT)<br>User’slocation |\n| UserID<br>Dateandtimeuser’saccountwascreated<br>User’scurrentfollowercount<br>User’scurrentfriendscount<br>User’stotalnumberoftweets |\n| In-reply-totweetID<br>∗<br>In-reply-touserID |\n| Retweet(Y/N) |",0]
["|  | retweet | mention | reply | quote |\n| --- | --- | --- | --- | --- |\n| S↔U | 9.1 | 8.6 | 7.8 | 11.8 |","| S→U | 52.9 | 42 | 63.5 | 60 |\n| --- | --- | --- | --- | --- |\n| S←U | 0.6 | 0.9 | 0.6 | 0.4 |\n| S—U | 37.4 | 48.5 | 28.1 | 27.8 |",1]
["|  | retweet | mention | reply | quote |\n| --- | --- | --- | --- | --- |\n| S↔U | 9.1 | 8.6 | 7.8 | 11.8 |","| UserID<br>Dateandtimeuser’saccountwascreated<br>User’scurrentfollowercount<br>User’scurrentfriendscount<br>User’stotalnumberoftweets |\n| --- |\n| In-reply-totweetID<br>∗<br>In-reply-touserID |\n| Retweet(Y/N) |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Query1(Q1) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | Relaxation | Ref-1 | Ref-2 | Ref-3 | Ref-4 |\n| LUBM10 | 480.4ms/5715 | 237.2ms/311 | 311ms/585 | 490.2ms/5715 | 530ms/5715 |","| LUBM50 | 1.148s/29976 | 380.3ms/1529 | 288ms/585 | 1.219s/29976 | 1.576ms/29976 |\n| --- | --- | --- | --- | --- | --- |\n| LUBM100 | 1.981s/60268 | 315ms/3023 | 250ms/585 | 1.910s/60268 | 1.920s/60268 |",1]
["| Query1(Q1) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | Relaxation | Ref-1 | Ref-2 | Ref-3 | Ref-4 |\n| LUBM10 | 480.4ms/5715 | 237.2ms/311 | 311ms/585 | 490.2ms/5715 | 530ms/5715 |","|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| Query1(Q1) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | Relaxation | Ref-1 | Ref-2 | Ref-3 | Ref-4 |","| LUBM10 | 480.4ms/5715 | 237.2ms/311 | 311ms/585 | 490.2ms/5715 | 530ms/5715 |\n| --- | --- | --- | --- | --- | --- |\n| LUBM50 | 1.148s/29976 | 380.3ms/1529 | 288ms/585 | 1.219s/29976 | 1.576ms/29976 |\n| LUBM100 | 1.981s/60268 | 315ms/3023 | 250ms/585 | 1.910s/60268 | 1.920s/60268 |",1]
["| Query1(Q1) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | Relaxation | Ref-1 | Ref-2 | Ref-3 | Ref-4 |","| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| --- | --- | --- | --- | --- | --- |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| Notation | Description |\n| --- | --- |\n| T | aCNNtree |","| v | anodeofaCNNtree |\n| --- | --- |\n| φ(v) | thechildrennodessetofnodev |\n| P(v) | theclasssetofnodev |\n| M(v) | theCNNmodeltrainedonP(v) |\n| ci | theiclassofaclassset |\n| Si | theconfusionsetofci |\n| Qk | thekconfusionsuperset |",1]
["| Notation | Description |\n| --- | --- |\n| T | aCNNtree |","| Models | devset | testset |\n| --- | --- | --- |\n| OnestageQACNN | 66.8 | - |\n| QACNN(noattention) | 69.6 | - |\n| QACNN(onlyword-levelattention) | 72.5 | - |\n| QACNN(onlysentence-levelattention) | 75.1 | - |\n| QACNN(single) | 77.6 | 75.84 |\n| QACNN(ensemble) | 79.0 | 79.99 |",0]
["| Notation | Description |\n| --- | --- |\n| T | aCNNtree |\n| v | anodeofaCNNtree |","| φ(v) | thechildrennodessetofnodev |\n| --- | --- |\n| P(v) | theclasssetofnodev |\n| M(v) | theCNNmodeltrainedonP(v) |\n| ci | theiclassofaclassset |\n| Si | theconfusionsetofci |\n| Qk | thekconfusionsuperset |",1]
["| Notation | Description |\n| --- | --- |\n| T | aCNNtree |\n| v | anodeofaCNNtree |","| QACNN(noattention) | 69.6 | - |\n| --- | --- | --- |\n| QACNN(onlyword-levelattention) | 72.5 | - |\n| QACNN(onlysentence-levelattention) | 75.1 | - |\n| QACNN(single) | 77.6 | 75.84 |\n| QACNN(ensemble) | 79.0 | 79.99 |",0]
["| Model | Partition | A1=¿A2 | A2=¿B1 | B1=¿B2 | B2=¿C1 |\n| --- | --- | --- | --- | --- | --- |\n| GBT<br>GBT | train<br>test | 0.897<br>0.895 | 0.888<br>0.897 | 0.903<br>0.778 | 0.854<br>0.821 |\n| ElasticNet<br>ElasticNet | train<br>test | 0.972<br>0.865 | 0.977<br>0.847 | 0.895<br>0.686 | 0.998<br>0.629 |","| LSTM<br>LSTM | train<br>test | 0.985<br>0.863 | 0.985<br>0.824 | 0.942<br>0.548 | 0.777<br>0.525 |\n| --- | --- | --- | --- | --- | --- |\n| GBT<br>GBT | train<br>test | 0.931<br>0.916 | 0.899<br>0.904 | 0.927<br>0.753 | 0.860<br>0.746 |",1]
["| Model | Partition | A1=¿A2 | A2=¿B1 | B1=¿B2 | B2=¿C1 |\n| --- | --- | --- | --- | --- | --- |\n| GBT<br>GBT | train<br>test | 0.897<br>0.895 | 0.888<br>0.897 | 0.903<br>0.778 | 0.854<br>0.821 |\n| ElasticNet<br>ElasticNet | train<br>test | 0.972<br>0.865 | 0.977<br>0.847 | 0.895<br>0.686 | 0.998<br>0.629 |","| Training | Connection | Dataset | Spanish-French | German-French |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| es→en | en→fr | es→fr | de→en | en→fr | de→fr |  |  |  |\n| indep. | - | Dev.<br>Test | 31.53<br>31.54 | 30.46<br>31.42 | 29.52<br>29.79 | 26.52<br>26.47 | 30.46<br>31.42 | 23.67<br>23.70 |\n| joint | hard | Dev.<br>Test | 31.81<br>31.55 | 30.18<br>31.13 | 29.11<br>29.93 | 26.48<br>26.58 | 30.47<br>31.35 | 23.87<br>23.88 |\n| soft | Dev.<br>Test | 32.11<br>∗<br>31.96 | 30.41<br>31.40 | 30.24<br>∗∗<br>30.57 | 26.92<br>26.55 | 30.39<br>31.33 | 23.99<br>23.79 |  |\n| likelihood | Dev.<br>Test | 33.35<br>∗∗<br>33.54 | 31.63<br>∗∗<br>32.33 | 32.45<br>∗∗<br>32.59 | 27.90<br>∗∗<br>28.01 | 31.49<br>∗∗<br>32.34 | 25.21<br>∗∗<br>25.93 |  |",0]
["| Model | Partition | A1=¿A2 | A2=¿B1 | B1=¿B2 | B2=¿C1 |\n| --- | --- | --- | --- | --- | --- |\n| GBT<br>GBT | train<br>test | 0.897<br>0.895 | 0.888<br>0.897 | 0.903<br>0.778 | 0.854<br>0.821 |","| ElasticNet<br>ElasticNet | train<br>test | 0.972<br>0.865 | 0.977<br>0.847 | 0.895<br>0.686 | 0.998<br>0.629 |\n| --- | --- | --- | --- | --- | --- |\n| LSTM<br>LSTM | train<br>test | 0.985<br>0.863 | 0.985<br>0.824 | 0.942<br>0.548 | 0.777<br>0.525 |\n| GBT<br>GBT | train<br>test | 0.931<br>0.916 | 0.899<br>0.904 | 0.927<br>0.753 | 0.860<br>0.746 |",1]
["| Model | Partition | A1=¿A2 | A2=¿B1 | B1=¿B2 | B2=¿C1 |\n| --- | --- | --- | --- | --- | --- |\n| GBT<br>GBT | train<br>test | 0.897<br>0.895 | 0.888<br>0.897 | 0.903<br>0.778 | 0.854<br>0.821 |","| joint | hard | Dev.<br>Test | 31.81<br>31.55 | 30.18<br>31.13 | 29.11<br>29.93 | 26.48<br>26.58 | 30.47<br>31.35 | 23.87<br>23.88 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| soft | Dev.<br>Test | 32.11<br>∗<br>31.96 | 30.41<br>31.40 | 30.24<br>∗∗<br>30.57 | 26.92<br>26.55 | 30.39<br>31.33 | 23.99<br>23.79 |  |\n| likelihood | Dev.<br>Test | 33.35<br>∗∗<br>33.54 | 31.63<br>∗∗<br>32.33 | 32.45<br>∗∗<br>32.59 | 27.90<br>∗∗<br>28.01 | 31.49<br>∗∗<br>32.34 | 25.21<br>∗∗<br>25.93 |  |",0]
["| Event | (A) | (B) | (C) | (D) |\n| --- | --- | --- | --- | --- |\n| Celebration | 0.0 | 0.35 | 0.26 | 0.0 |\n| Checking | 0.1 | 0.16 | 0.09 | 0.0 |\n| Endofperiod | 0.83 | 0.87 | 0.93 | 0.66 |\n| Fight | 0.48 | 0.43 | 0.83 | 0.0 |\n| Goal | 0.003 | 0.22 | 0.0 | 0.0 |\n| Penalty | 0.6 | 0.33 | 0.63 | 0.0 |\n| Shot | 0.12 | 0.07 | 0.03 | 0.0 |","| Save | 0.23 | 0.16 | 0.14 | 0.0 |\n| --- | --- | --- | --- | --- |\n| Linechange | 0.64 | 0.51 | 0.74 | 0.07 |\n| Faceoﬀ | 0.73 | 0.62 | 0.79 | 0.27 |\n| Play | 0.91 | 0.85 | 0.95 | 0.81 |\n| AverageF1 | 0.42 | 0.42 | 0.49 | 0.17 |",1]
["| Event | (A) | (B) | (C) | (D) |\n| --- | --- | --- | --- | --- |\n| Celebration | 0.0 | 0.35 | 0.26 | 0.0 |\n| Checking | 0.1 | 0.16 | 0.09 | 0.0 |\n| Endofperiod | 0.83 | 0.87 | 0.93 | 0.66 |\n| Fight | 0.48 | 0.43 | 0.83 | 0.0 |\n| Goal | 0.003 | 0.22 | 0.0 | 0.0 |\n| Penalty | 0.6 | 0.33 | 0.63 | 0.0 |\n| Shot | 0.12 | 0.07 | 0.03 | 0.0 |","| Event | EM | SMKO |\n| --- | --- | --- |\n| Celebration | 0.60 | 0.62 |\n| Checking | 0.20 | 0.38 |\n| Endofperiod | 0.90 | 0.98 |\n| Fight | 0.74 | 0.85 |\n| Goal | 0.38 | 0.38 |\n| Penalty | 0.54 | 0.79 |\n| Shot | 0.46 | 0.30 |\n| Save | 0.60 | 0.46 |\n| Linechange | 0.68 | 0.78 |\n| Faceoﬀ | 0.78 | 0.86 |\n| Play | 0.93 | 0.95 |\n| AverageF1 | 0.62 | 0.67 |",0]
["| Event | (A) | (B) | (C) | (D) |\n| --- | --- | --- | --- | --- |\n| Celebration | 0.0 | 0.35 | 0.26 | 0.0 |\n| Checking | 0.1 | 0.16 | 0.09 | 0.0 |\n| Endofperiod | 0.83 | 0.87 | 0.93 | 0.66 |\n| Fight | 0.48 | 0.43 | 0.83 | 0.0 |\n| Goal | 0.003 | 0.22 | 0.0 | 0.0 |","| Penalty | 0.6 | 0.33 | 0.63 | 0.0 |\n| --- | --- | --- | --- | --- |\n| Shot | 0.12 | 0.07 | 0.03 | 0.0 |\n| Save | 0.23 | 0.16 | 0.14 | 0.0 |\n| Linechange | 0.64 | 0.51 | 0.74 | 0.07 |\n| Faceoﬀ | 0.73 | 0.62 | 0.79 | 0.27 |\n| Play | 0.91 | 0.85 | 0.95 | 0.81 |\n| AverageF1 | 0.42 | 0.42 | 0.49 | 0.17 |",1]
["| Event | (A) | (B) | (C) | (D) |\n| --- | --- | --- | --- | --- |\n| Celebration | 0.0 | 0.35 | 0.26 | 0.0 |\n| Checking | 0.1 | 0.16 | 0.09 | 0.0 |\n| Endofperiod | 0.83 | 0.87 | 0.93 | 0.66 |\n| Fight | 0.48 | 0.43 | 0.83 | 0.0 |\n| Goal | 0.003 | 0.22 | 0.0 | 0.0 |","| Linechange | 0.68 | 0.78 |\n| --- | --- | --- |\n| Faceoﬀ | 0.78 | 0.86 |\n| Play | 0.93 | 0.95 |\n| AverageF1 | 0.62 | 0.67 |",0]
["| Model | #param(M) | FLOPs(G) | Depth |\n| --- | --- | --- | --- |\n| X-Corr | 2.2 | 1.58 | 10 |\n| BDLatPart | 1.4 | 1.80 | 25 |\n| DPFL | 35 | 6.00 | 40 |","| JLML | 7.2 | 1.54 | 39 |\n| --- | --- | --- | --- |\n| DeepAlign | 6 | 1.57 | 22 |\n| Ours-(L2,L3) | 0.5 | 0.96 | 12 |\n| Ours-(L2,L3,L4) | 0.8 | 1.31 | 18 |",1]
["| Model | #param(M) | FLOPs(G) | Depth |\n| --- | --- | --- | --- |\n| X-Corr | 2.2 | 1.58 | 10 |\n| BDLatPart | 1.4 | 1.80 | 25 |\n| DPFL | 35 | 6.00 | 40 |","| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |\n| DG2 | 69.71 | 1238960 | 18.998 |\n| DG4 | 68.98 | 1202096 | 18.595 |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["| Model | #param(M) | FLOPs(G) | Depth |\n| --- | --- | --- | --- |\n| X-Corr | 2.2 | 1.58 | 10 |\n| BDLatPart | 1.4 | 1.80 | 25 |\n| DPFL | 35 | 6.00 | 40 |\n| JLML | 7.2 | 1.54 | 39 |","| DeepAlign | 6 | 1.57 | 22 |\n| --- | --- | --- | --- |\n| Ours-(L2,L3) | 0.5 | 0.96 | 12 |\n| Ours-(L2,L3,L4) | 0.8 | 1.31 | 18 |",1]
["| Model | #param(M) | FLOPs(G) | Depth |\n| --- | --- | --- | --- |\n| X-Corr | 2.2 | 1.58 | 10 |\n| BDLatPart | 1.4 | 1.80 | 25 |\n| DPFL | 35 | 6.00 | 40 |\n| JLML | 7.2 | 1.54 | 39 |","| DG2 | 69.71 | 1238960 | 18.998 |\n| --- | --- | --- | --- |\n| DG4 | 68.98 | 1202096 | 18.595 |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["| SymmetricKeySize | RSAModulusSize | u | SymmetricKeySize | RSAModulusSize | u |\n| --- | --- | --- | --- | --- | --- |\n| 80 | 1024 | 2 | 192 | 7680 | 4 |\n| 73 | 1024 | 3 | 175 | 7680 | 5 |\n| 112 | 2335 | 3 | 158 | 7680 | 6 |","| 100 | 2335 | 4 | 144 | 7680 | 7 |\n| --- | --- | --- | --- | --- | --- |\n| 88 | 2335 | 5 | 125 | 7680 | 9 |\n| 128 | 3072 | 3 | 256 | 15360 | 5 |\n| 117 | 3072 | 4 | 235 | 15360 | 6 |\n| 103 | 3072 | 5 | 215 | 15360 | 7 |\n| 93 | 3072 | 6 | 199 | 15360 | 8 |",1]
["| SymmetricKeySize | RSAModulusSize | u | SymmetricKeySize | RSAModulusSize | u |\n| --- | --- | --- | --- | --- | --- |\n| 80 | 1024 | 2 | 192 | 7680 | 4 |\n| 73 | 1024 | 3 | 175 | 7680 | 5 |\n| 112 | 2335 | 3 | 158 | 7680 | 6 |","| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |\n| JavaSHA1PRNG |  |  |  |  |  |  |  |  |  |\n| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |\n| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |\n| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |\n| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |\n| NISTSP80090ASHA1-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |\n| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |\n| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |\n| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |\n| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",0]
["| SymmetricKeySize | RSAModulusSize | u | SymmetricKeySize | RSAModulusSize | u |\n| --- | --- | --- | --- | --- | --- |\n| 80 | 1024 | 2 | 192 | 7680 | 4 |","| 73 | 1024 | 3 | 175 | 7680 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 112 | 2335 | 3 | 158 | 7680 | 6 |\n| 100 | 2335 | 4 | 144 | 7680 | 7 |\n| 88 | 2335 | 5 | 125 | 7680 | 9 |\n| 128 | 3072 | 3 | 256 | 15360 | 5 |\n| 117 | 3072 | 4 | 235 | 15360 | 6 |\n| 103 | 3072 | 5 | 215 | 15360 | 7 |\n| 93 | 3072 | 6 | 199 | 15360 | 8 |",1]
["| SymmetricKeySize | RSAModulusSize | u | SymmetricKeySize | RSAModulusSize | u |\n| --- | --- | --- | --- | --- | --- |\n| 80 | 1024 | 2 | 192 | 7680 | 4 |","| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NISTSP80090ASHA1-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |\n| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |\n| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |\n| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |\n| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",0]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 46.4±0.5 | 61.3±0.4 | 66.3±0.4 |\n| SA | 45.0 | 64.8 | 69.9 |","| DaNBNN | 52.8±3.7 | 76.6±1.7 | 76.2±2.5 |\n| --- | --- | --- | --- |\n| DaNN | 53.6±0.2 | 71.2±0.0 | 83.5±0.0 |\n| Dlid | 51.9 | 78.2 | 89.9 |\n| DecafS+T | 80.7±2.3 | 94.8±1.2 | − |\n| DDC | 84.1±0.6 | 95.4±0.4 | 96.3±0.3 |\n| DAN | 85.6±0.3 | 95.8±0.2 | 96.7±0.2 |\n| FCR2-c | 80.68±1.50 | 94.81±0.93 | 94.02±1.41 |\n| FCR1-c | 80.06±1.23 | 95.01±0.57 | 95.21±0.67 |\n| MLR | 79.32±1.09 | 94.25±0.80 | 94.27±1.15 |\n| CFV | 73.05±1.86 | 87.52±1.42 | 88.59±1.88 |\n| FCR1-c+FCR2-c | 81.40±1.63 | 95.27±0.87 | 95.51±1.08 |\n| MLR+FCR2-c | 83.96±1.66 | 95.95±0.65 | 96.84±0.44 |\n| CFV+FCR2-c | 83.93±1.94 | 95.21±1.07 | 95.85±0.75 |\n| MLR+FCR1-c | 82.74±1.37 | 95.78±0.54 | 96.74±0.64 |\n| CFV+FCR1-c | 82.56±1.79 | 94.62±0.97 | 96.05±0.82 |\n| MLR+CFV | 81.42±1.22 | 94.79±0.87 | 95.06±1.34 |\n| MLR+CFV+FCR1-c | 84.16±0.96 | 95.61±0.78 | 96.44±0.85 |\n| MLR+CFV+FCR2-c | 84.79±1.62 | 95.98±0.50 | 96.89±0.37 |\n| CFV+FCR1-c+FCR2-c | 83.50±2.06 | 95.24±0.64 | 96.54±0.84 |\n| MLR+FCR1-c+FCR2-c | 83.59±1.45 | 96.15±0.48 | 96.94±0.64 |\n| MLR+CFV+FCR1-c+FCR2-c | 84.64±1.57 | 95.95±0.54 | 97.14±0.37 |",1]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 46.4±0.5 | 61.3±0.4 | 66.3±0.4 |\n| SA | 45.0 | 64.8 | 69.9 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |\n| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 46.4±0.5 | 61.3±0.4 | 66.3±0.4 |\n| SA | 45.0 | 64.8 | 69.9 |\n| DaNBNN | 52.8±3.7 | 76.6±1.7 | 76.2±2.5 |\n| DaNN | 53.6±0.2 | 71.2±0.0 | 83.5±0.0 |\n| Dlid | 51.9 | 78.2 | 89.9 |\n| DecafS+T | 80.7±2.3 | 94.8±1.2 | − |\n| DDC | 84.1±0.6 | 95.4±0.4 | 96.3±0.3 |\n| DAN | 85.6±0.3 | 95.8±0.2 | 96.7±0.2 |\n| FCR2-c | 80.68±1.50 | 94.81±0.93 | 94.02±1.41 |","| FCR1-c | 80.06±1.23 | 95.01±0.57 | 95.21±0.67 |\n| --- | --- | --- | --- |\n| MLR | 79.32±1.09 | 94.25±0.80 | 94.27±1.15 |\n| CFV | 73.05±1.86 | 87.52±1.42 | 88.59±1.88 |\n| FCR1-c+FCR2-c | 81.40±1.63 | 95.27±0.87 | 95.51±1.08 |\n| MLR+FCR2-c | 83.96±1.66 | 95.95±0.65 | 96.84±0.44 |\n| CFV+FCR2-c | 83.93±1.94 | 95.21±1.07 | 95.85±0.75 |\n| MLR+FCR1-c | 82.74±1.37 | 95.78±0.54 | 96.74±0.64 |\n| CFV+FCR1-c | 82.56±1.79 | 94.62±0.97 | 96.05±0.82 |\n| MLR+CFV | 81.42±1.22 | 94.79±0.87 | 95.06±1.34 |\n| MLR+CFV+FCR1-c | 84.16±0.96 | 95.61±0.78 | 96.44±0.85 |\n| MLR+CFV+FCR2-c | 84.79±1.62 | 95.98±0.50 | 96.89±0.37 |\n| CFV+FCR1-c+FCR2-c | 83.50±2.06 | 95.24±0.64 | 96.54±0.84 |\n| MLR+FCR1-c+FCR2-c | 83.59±1.45 | 96.15±0.48 | 96.94±0.64 |\n| MLR+CFV+FCR1-c+FCR2-c | 84.64±1.57 | 95.95±0.54 | 97.14±0.37 |",1]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 46.4±0.5 | 61.3±0.4 | 66.3±0.4 |\n| SA | 45.0 | 64.8 | 69.9 |\n| DaNBNN | 52.8±3.7 | 76.6±1.7 | 76.2±2.5 |\n| DaNN | 53.6±0.2 | 71.2±0.0 | 83.5±0.0 |\n| Dlid | 51.9 | 78.2 | 89.9 |\n| DecafS+T | 80.7±2.3 | 94.8±1.2 | − |\n| DDC | 84.1±0.6 | 95.4±0.4 | 96.3±0.3 |\n| DAN | 85.6±0.3 | 95.8±0.2 | 96.7±0.2 |\n| FCR2-c | 80.68±1.50 | 94.81±0.93 | 94.02±1.41 |","| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| --- | --- | --- | --- |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["| Dataset | #(U) | #(E) |\n| --- | --- | --- |\n| OKLAHOMA | 17,425 | 892,528 |","| UNC | 18,163 | 766,800 |\n| --- | --- | --- |\n| DBLP | 60,744 | 52,890 |\n| CITESEER | 29,751 | 77,218 |",1]
["| Dataset | #(U) | #(E) |\n| --- | --- | --- |\n| OKLAHOMA | 17,425 | 892,528 |","| Dataset | #Datapoints | #Classes | #Features |\n| --- | --- | --- | --- |\n| YaleB | 2,414 | 38 | 1,024 |\n| USPS | 9,298 | 10 | 256 |\n| COIL100 | 7,200 | 100 | 1,024 |\n| Glass | 214 | 6 | 10 |\n| Climate | 540 | 2 | 18 |\n| Ionosphere | 351 | 2 | 34 |",0]
["| Dataset | #(U) | #(E) |\n| --- | --- | --- |\n| OKLAHOMA | 17,425 | 892,528 |\n| UNC | 18,163 | 766,800 |","| DBLP | 60,744 | 52,890 |\n| --- | --- | --- |\n| CITESEER | 29,751 | 77,218 |",1]
["| Dataset | #(U) | #(E) |\n| --- | --- | --- |\n| OKLAHOMA | 17,425 | 892,528 |\n| UNC | 18,163 | 766,800 |","| COIL100 | 7,200 | 100 | 1,024 |\n| --- | --- | --- | --- |\n| Glass | 214 | 6 | 10 |\n| Climate | 540 | 2 | 18 |\n| Ionosphere | 351 | 2 | 34 |",0]
["|  | S=1 | S=2 | S=3 |\n| --- | --- | --- | --- |\n| N=0 | 32.07 | 32.31 | 32.67 |","| N=1 | 34.31 | 34.66 | 35.01 |\n| --- | --- | --- | --- |\n| N=2 | 36.71 | 36.94 | 37.09 |\n| N=3 | 37.75 | 37.99 | 38.01 |\n| N=4 | 38.98 | 39.36 | 39.42 |",1]
["|  | S=1 | S=2 | S=3 |\n| --- | --- | --- | --- |\n| N=0 | 32.07 | 32.31 | 32.67 |","| n= | k= | R.T.(ms) |\n| --- | --- | --- |\n| 1M | 1301 | 470 |\n| 2.25M | 1383 | 1110 |\n| 4M | 1323 | 2078 |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",0]
["|  | S=1 | S=2 | S=3 |\n| --- | --- | --- | --- |\n| N=0 | 32.07 | 32.31 | 32.67 |\n| N=1 | 34.31 | 34.66 | 35.01 |","| N=2 | 36.71 | 36.94 | 37.09 |\n| --- | --- | --- | --- |\n| N=3 | 37.75 | 37.99 | 38.01 |\n| N=4 | 38.98 | 39.36 | 39.42 |",1]
["|  | S=1 | S=2 | S=3 |\n| --- | --- | --- | --- |\n| N=0 | 32.07 | 32.31 | 32.67 |\n| N=1 | 34.31 | 34.66 | 35.01 |","| 4M | 1323 | 2078 |\n| --- | --- | --- |\n| 6.25M | 1261 | 4093 |\n| 9M | 1256 | 7031 |",0]
["|  |  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 86.67 | 99.13 | 86.24 |","| GS+EP | 83.62 | 94.98 | 83.52 |  |\n| --- | --- | --- | --- | --- |\n| Auto+EP | 81.72 | 92.64 | 80.96 |  |\n| Exact | GS+noEP | 59.15 | 82.23 | 53.85 |\n| GS+EP | 57.64 | 79.80 | 52.29 |  |\n| Auto+EP | 47.68 | 70.27 | 40.37 |  |",1]
["|  |  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 86.67 | 99.13 | 86.24 |","|  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- |\n| Subordinating | 88.46 | 97.93 | 86.98 |\n| Coordinating | 90.34 | 90.34 | 82.39 |\n| Discourseadverbial | 46.88 | 62.50 | 37.50 |\n| All | 86.63 | 93.41 | 82.60 |",0]
["|  |  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 86.67 | 99.13 | 86.24 |","| GS+EP | 83.62 | 94.98 | 83.52 |  |\n| --- | --- | --- | --- | --- |\n| Auto+EP | 81.72 | 92.64 | 80.96 |  |\n| Exact | GS+noEP | 59.15 | 82.23 | 53.85 |\n| GS+EP | 57.64 | 79.80 | 52.29 |  |\n| Auto+EP | 47.68 | 70.27 | 40.37 |  |",1]
["|  |  | Arg1F1 | Arg2F1 | RelF1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 86.67 | 99.13 | 86.24 |","| Coordinating | 90.34 | 90.34 | 82.39 |\n| --- | --- | --- | --- |\n| Discourseadverbial | 46.88 | 62.50 | 37.50 |\n| All | 86.63 | 93.41 | 82.60 |",0]
["|  | K=4 | K=8 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | GoogLeNet | VGG-16 | GoogLeNet | VGG-16 |  |  |  |  |\n|  | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm |","| Plump-DP | 2.28 | 0.40 | 7.83 | 4.09 | 2.32 | 0.57 | 7.82 | 5.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Quant-DP | 0.20 | 1.47 | 0.29 | 1.93 |  |  |  |  |\n| Slim-DP | 0.18 | 1.18 | 0.25 | 1.65 |  |  |  |  |",1]
["|  | K=4 | K=8 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | GoogLeNet | VGG-16 | GoogLeNet | VGG-16 |  |  |  |  |\n|  | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm |","|  | VGG-F | CaﬀeNet | GoogLeNet | VGG-16 | VGG-19 | ResNet-152 | Mean |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline | 12.62 | 12.9 | 10.29 | 8.62 | 8.40 | 8.99 | 10.30 |\n| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |\n| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",0]
["|  | K=4 | K=8 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | GoogLeNet | VGG-16 | GoogLeNet | VGG-16 |  |  |  |  |\n|  | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm |","| Plump-DP | 2.28 | 0.40 | 7.83 | 4.09 | 2.32 | 0.57 | 7.82 | 5.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Quant-DP | 0.20 | 1.47 | 0.29 | 1.93 |  |  |  |  |\n| Slim-DP | 0.18 | 1.18 | 0.25 | 1.65 |  |  |  |  |",1]
["|  | K=4 | K=8 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | GoogLeNet | VGG-16 | GoogLeNet | VGG-16 |  |  |  |  |\n|  | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm |","| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",0]
["| Missingloss | MeanPixelError |\n| --- | --- |\n| Lsiam | 13.5 |","| Lent | 13.8 |\n| --- | --- |\n| Ldisc | 13.8 |\n| Const | 7.7 |",1]
["| Missingloss | MeanPixelError |\n| --- | --- |\n| Lsiam | 13.5 |","| Pu | AverageCommunicationActsPerformed |  |  |  |\n| --- | --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |  |\n| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["| Missingloss | MeanPixelError |\n| --- | --- |\n| Lsiam | 13.5 |","| Lent | 13.8 |\n| --- | --- |\n| Ldisc | 13.8 |\n| Const | 7.7 |",1]
["| Missingloss | MeanPixelError |\n| --- | --- |\n| Lsiam | 13.5 |","| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| --- | --- | --- | --- | --- |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["| n | σ | σ |\n| --- | --- | --- |\n| 1 | σ | 1+σ |\n| 2 | 1−σ | 2+σ |","| 3 | −1+2σ | 3+2σ |\n| --- | --- | --- |\n| 4 | 2−3σ | 5+3σ |\n| 5 | −3+5σ | 8+5σ |\n| 6 | 5−8σ | 13+8σ |\n| 7 | −8+13σ | 21+13σ |\n| 8 | 13−21σ | 34+21σ |\n| 9 | −21+34σ | 55+34σ |\n| 10 | 34−55σ | 89+55σ |",1]
["| n | σ | σ |\n| --- | --- | --- |\n| 1 | σ | 1+σ |\n| 2 | 1−σ | 2+σ |","| σ | µ(1,σ)µ(2,σ) | µ(3,σ)µ(4,σ) | µ(5,σ)µ(6,σ) | µ(7,σ)µ(8,σ) |\n| --- | --- | --- | --- | --- |\n| 2 | 26 | 1230 | 54126 | 240504 |\n| 3 | 36 | 2472 | 240696 | 2184648 |\n| 4 | 412 | 60240 | 10204020 | 1638065280 |\n| 5 | 520 | 120600 | 312015480 | 78120390000 |",0]
["| n | σ | σ |\n| --- | --- | --- |\n| 1 | σ | 1+σ |\n| 2 | 1−σ | 2+σ |\n| 3 | −1+2σ | 3+2σ |\n| 4 | 2−3σ | 5+3σ |","| 5 | −3+5σ | 8+5σ |\n| --- | --- | --- |\n| 6 | 5−8σ | 13+8σ |\n| 7 | −8+13σ | 21+13σ |\n| 8 | 13−21σ | 34+21σ |\n| 9 | −21+34σ | 55+34σ |\n| 10 | 34−55σ | 89+55σ |",1]
["| n | σ | σ |\n| --- | --- | --- |\n| 1 | σ | 1+σ |\n| 2 | 1−σ | 2+σ |\n| 3 | −1+2σ | 3+2σ |\n| 4 | 2−3σ | 5+3σ |","| 4 | 412 | 60240 | 10204020 | 1638065280 |\n| --- | --- | --- | --- | --- |\n| 5 | 520 | 120600 | 312015480 | 78120390000 |",0]
["| 1,035 | 8,452 | 27,990 |\n| --- | --- | --- |\n| 4,250 | 11,942 | 56,957 |\n| - | 8.12x | 27.04x |","| - | 2.81x | 13.40x |\n| --- | --- | --- |\n| - | 1.04 | 2.30 |",1]
["| 1,035 | 8,452 | 27,990 |\n| --- | --- | --- |\n| 4,250 | 11,942 | 56,957 |\n| - | 8.12x | 27.04x |","| 3.813 | 4.856 |\n| --- | --- |\n| 4.960 | 5.494 |\n| 4.587 | 5.116 |\n| 4.813 | 5.255 |\n| 7.609 | 9.448 |\n| 4.533 | 4.550 |\n| 5.573 | 6.151 |",0]
["| 1,035 | 8,452 | 27,990 |\n| --- | --- | --- |\n| 4,250 | 11,942 | 56,957 |\n| - | 8.12x | 27.04x |","| - | 2.81x | 13.40x |\n| --- | --- | --- |\n| - | 1.04 | 2.30 |",1]
["| 1,035 | 8,452 | 27,990 |\n| --- | --- | --- |\n| 4,250 | 11,942 | 56,957 |\n| - | 8.12x | 27.04x |","| 7.609 | 9.448 |\n| --- | --- |\n| 4.533 | 4.550 |\n| 5.573 | 6.151 |",0]
["| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 2.95 | 1.84 | 9.81 | 4.79 | 12.75 |","| A | 3.02 | 0.96 | 8.92 | 3.98 | 11.95 |\n| --- | --- | --- | --- | --- | --- |\n| B | 2.93 | 1.43 | 9.39 | 4.35 | 12.32 |\n| C | 3.15 | 1.56 | 9.53 | 4.72 | 12.68 |\n| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |\n| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |\n| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |\n| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 |",1]
["| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 2.95 | 1.84 | 9.81 | 4.79 | 12.75 |","| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 3.41 | 1.89 | 10.86 | 5.30 | 14.27 |\n| A | 3.59 | 1.00 | 9.97 | 4.59 | 13.55 |\n| B | 3.36 | 1.51 | 10.47 | 4.87 | 13.83 |",0]
["| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 2.95 | 1.84 | 9.81 | 4.79 | 12.75 |\n| A | 3.02 | 0.96 | 8.92 | 3.98 | 11.95 |\n| B | 2.93 | 1.43 | 9.39 | 4.35 | 12.32 |\n| C | 3.15 | 1.56 | 9.53 | 4.72 | 12.68 |\n| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |","| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |\n| --- | --- | --- | --- | --- | --- |\n| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |\n| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 |",1]
["| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 2.95 | 1.84 | 9.81 | 4.79 | 12.75 |\n| A | 3.02 | 0.96 | 8.92 | 3.98 | 11.95 |\n| B | 2.93 | 1.43 | 9.39 | 4.35 | 12.32 |\n| C | 3.15 | 1.56 | 9.53 | 4.72 | 12.68 |\n| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |","| nocut | 3.41 | 1.89 | 10.86 | 5.30 | 14.27 |\n| --- | --- | --- | --- | --- | --- |\n| A | 3.59 | 1.00 | 9.97 | 4.59 | 13.55 |\n| B | 3.36 | 1.51 | 10.47 | 4.87 | 13.83 |",0]
["| Levenshteindistancewithmergesandsplits,lexiconofbooktitles |  |  |  |\n| --- | --- | --- | --- |\n| b | new/ideal | fb/ideal | f/ideal |\n| 2 | 51.69 | 2297.07 | 37428.91 |\n| 3 | 155.55 | 7199.24 |  |\n| 4 | 693.20 | 42141.64 |  |\n| 5 | 788.27 | 112676.78 |  |\n| 6 | 1091.35 |  |  |\n| 7 | 1229.88 |  |  |\n| 8 | 2267.31 |  |  |\n| 9 | 1868.38 |  |  |\n| 10 | 2462.66 |  |  |\n| 11 | 2151.49 |  |  |\n| 12 | 3352.05 |  |  |","| 13 | 3077.23 |  |  |\n| --- | --- | --- | --- |\n| 14 | 3350.26 |  |  |\n| 15 | 3210.70 |  |  |",1]
["| Levenshteindistancewithmergesandsplits,lexiconofbooktitles |  |  |  |\n| --- | --- | --- | --- |\n| b | new/ideal | fb/ideal | f/ideal |\n| 2 | 51.69 | 2297.07 | 37428.91 |\n| 3 | 155.55 | 7199.24 |  |\n| 4 | 693.20 | 42141.64 |  |\n| 5 | 788.27 | 112676.78 |  |\n| 6 | 1091.35 |  |  |\n| 7 | 1229.88 |  |  |\n| 8 | 2267.31 |  |  |\n| 9 | 1868.38 |  |  |\n| 10 | 2462.66 |  |  |\n| 11 | 2151.49 |  |  |\n| 12 | 3352.05 |  |  |","| b | Lev+Binomial | Lev+Uniform |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | new/ideal | fb/ideal | f/ideal |  |\n| 2 | 18.12 | 435.29 | 12513.00 | 10.68 | 1686.54 | 74164.46 |\n| 3 | 20.12 | 861.60 | 103772.38 | 12.14 | 3392.04 | 262620.28 |\n| 4 | 22.04 | 11936.27 |  | 14.59 | 73079.20 |  |\n| 5 | 25.30 | 23053.83 |  | 17.33 | 136324.69 |  |\n| 6 | 38.04 |  |  | 25.22 |  |  |\n| 7 | 41.01 |  |  | 27.06 |  |  |\n| 8 | 53.56 |  |  | 33.69 |  |  |\n| 9 | 60.33 |  |  | 39.79 |  |  |\n| 10 | 81.73 |  |  | 56.57 |  |  |\n| 11 | 89.99 |  |  | 61.09 |  |  |\n| 12 | 156.64 |  |  | 114.70 |  |  |\n| 13 | 164.48 |  |  | 124.96 |  |  |\n| 14 | 188.93 |  |  | 137.76 |  |  |\n| 15 | 188.52 |  |  | 136.48 |  |  |",0]
["| Levenshteindistancewithmergesandsplits,lexiconofbooktitles |  |  |  |\n| --- | --- | --- | --- |\n| b | new/ideal | fb/ideal | f/ideal |\n| 2 | 51.69 | 2297.07 | 37428.91 |\n| 3 | 155.55 | 7199.24 |  |\n| 4 | 693.20 | 42141.64 |  |\n| 5 | 788.27 | 112676.78 |  |\n| 6 | 1091.35 |  |  |\n| 7 | 1229.88 |  |  |\n| 8 | 2267.31 |  |  |\n| 9 | 1868.38 |  |  |","| 10 | 2462.66 |  |  |\n| --- | --- | --- | --- |\n| 11 | 2151.49 |  |  |\n| 12 | 3352.05 |  |  |\n| 13 | 3077.23 |  |  |\n| 14 | 3350.26 |  |  |\n| 15 | 3210.70 |  |  |",1]
["| Levenshteindistancewithmergesandsplits,lexiconofbooktitles |  |  |  |\n| --- | --- | --- | --- |\n| b | new/ideal | fb/ideal | f/ideal |\n| 2 | 51.69 | 2297.07 | 37428.91 |\n| 3 | 155.55 | 7199.24 |  |\n| 4 | 693.20 | 42141.64 |  |\n| 5 | 788.27 | 112676.78 |  |\n| 6 | 1091.35 |  |  |\n| 7 | 1229.88 |  |  |\n| 8 | 2267.31 |  |  |\n| 9 | 1868.38 |  |  |","| 10 | 81.73 |  |  | 56.57 |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11 | 89.99 |  |  | 61.09 |  |  |\n| 12 | 156.64 |  |  | 114.70 |  |  |\n| 13 | 164.48 |  |  | 124.96 |  |  |\n| 14 | 188.93 |  |  | 137.76 |  |  |\n| 15 | 188.52 |  |  | 136.48 |  |  |",0]
["| scheme | plaintextencryption | type | false-positive | update |\n| --- | --- | --- | --- | --- |\n| ﬁnalscheme | special | noindex | no | easy |","| Z-IDX | general | directindex | yes | easy |\n| --- | --- | --- | --- | --- |\n| PPSED | general | directindex | no | easy |\n| SSE-1 | general | invertedindex | no | hard |\n| ourscheme | general | directindex | no | easy |",1]
["| scheme | plaintextencryption | type | false-positive | update |\n| --- | --- | --- | --- | --- |\n| ﬁnalscheme | special | noindex | no | easy |","| Schemes<br>forCT | Parameters | Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) | Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) | Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) | Proof<br>of<br>Extension<br>(Type4) | Proof<br>of<br>Currency<br>(Type5) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Google | ProofSize | O(logn) | - | - | O(logn) | - |\n| CostofProof<br>Computation | O(logn) | - | - | O(logn) | - |  |\n| CostofProof<br>Veriﬁcation | O(logn) | - | - | O(logn) | - |  |\n| Ryan | ProofSize | - | - | O(logt) | O(logn) | O(logt) |\n| CostofProof<br>Computation | - | - | O(logt) | O(logn) | O(logt) |  |\n| CostofProof<br>Veriﬁcation | - | - | O(logt) | O(logn) | O(logt) |  |\n| Our<br>Scheme | ProofSize | O(logt) | O(1) | O(logt) | O(logn) | O(1) |\n| CostofProof<br>Computation | †<br>O(logt) | O(m) | O(logt) | O(logn) | O(logm) |  |\n| CostofProof<br>Veriﬁcation | †<br>O(logt) | O(1) | O(logt) | O(logn) | O(1) |  |",0]
["| scheme | plaintextencryption | type | false-positive | update |\n| --- | --- | --- | --- | --- |\n| ﬁnalscheme | special | noindex | no | easy |\n| Z-IDX | general | directindex | yes | easy |","| PPSED | general | directindex | no | easy |\n| --- | --- | --- | --- | --- |\n| SSE-1 | general | invertedindex | no | hard |\n| ourscheme | general | directindex | no | easy |",1]
["| scheme | plaintextencryption | type | false-positive | update |\n| --- | --- | --- | --- | --- |\n| ﬁnalscheme | special | noindex | no | easy |\n| Z-IDX | general | directindex | yes | easy |","| CostofProof<br>Computation | - | - | O(logt) | O(logn) | O(logt) |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CostofProof<br>Veriﬁcation | - | - | O(logt) | O(logn) | O(logt) |  |\n| Our<br>Scheme | ProofSize | O(logt) | O(1) | O(logt) | O(logn) | O(1) |\n| CostofProof<br>Computation | †<br>O(logt) | O(m) | O(logt) | O(logn) | O(logm) |  |\n| CostofProof<br>Veriﬁcation | †<br>O(logt) | O(1) | O(logt) | O(logn) | O(1) |  |",0]
["| NoiseN(0,σ) | σ=0 | σ=0.1 |  |  |\n| --- | --- | --- | --- | --- |\n| Method\\Signal | xp | xu | xp | xu |\n| SBMCA | 23.84 | 29.33 | 20.33 | 17.14 |\n| MCA-DCT | 20.53 | 26.05 | 18.44 | 17.10 |","| MCA-Identity | 11.91 | 16.25 | 11.83 | 11.96 |\n| --- | --- | --- | --- | --- |\n| NNSC(Spectral) | 8.89 | 13.12 | 6.57 | 11.77 |",1]
["| NoiseN(0,σ) | σ=0 | σ=0.1 |  |  |\n| --- | --- | --- | --- | --- |\n| Method\\Signal | xp | xu | xp | xu |\n| SBMCA | 23.84 | 29.33 | 20.33 | 17.14 |\n| MCA-DCT | 20.53 | 26.05 | 18.44 | 17.10 |","| Metric | Noise | MagicPointLMagicPointSFASTHarrisShi |\n| --- | --- | --- |\n| mAP | nonoise | 0.9790.9800.4050.6780.686 |\n| mAP | noise | 0.9710.9390.0610.2130.157 |\n| MLE | nonoise | 0.8600.9221.6561.2451.188 |\n| MLE | noise | 1.0121.0781.7661.4091.383 |",0]
["| NoiseN(0,σ) | σ=0 | σ=0.1 |  |  |\n| --- | --- | --- | --- | --- |\n| Method\\Signal | xp | xu | xp | xu |\n| SBMCA | 23.84 | 29.33 | 20.33 | 17.14 |","| MCA-DCT | 20.53 | 26.05 | 18.44 | 17.10 |\n| --- | --- | --- | --- | --- |\n| MCA-Identity | 11.91 | 16.25 | 11.83 | 11.96 |\n| NNSC(Spectral) | 8.89 | 13.12 | 6.57 | 11.77 |",1]
["| NoiseN(0,σ) | σ=0 | σ=0.1 |  |  |\n| --- | --- | --- | --- | --- |\n| Method\\Signal | xp | xu | xp | xu |\n| SBMCA | 23.84 | 29.33 | 20.33 | 17.14 |","| mAP | noise | 0.9710.9390.0610.2130.157 |\n| --- | --- | --- |\n| MLE | nonoise | 0.8600.9221.6561.2451.188 |\n| MLE | noise | 1.0121.0781.7661.4091.383 |",0]
["| Activity<br>Type | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 7 | 0 | 0 | 0 | 0 |\n| 2 | 0 | 7 | 0 | 0 | 0 |","| 3 | 0 | 0 | 8 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 0 | 0 | 0 | 9 | 0 |\n| 5 | 0 | 0 | 0 | 0 | 8 |",1]
["| Activity<br>Type | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 7 | 0 | 0 | 0 | 0 |\n| 2 | 0 | 7 | 0 | 0 | 0 |","| Activities | PT | GL | BD | PN | PO | DS | HT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |\n| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |\n| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |\n| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",0]
["| Activity<br>Type | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 7 | 0 | 0 | 0 | 0 |","| 2 | 0 | 7 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 0 | 0 | 8 | 0 | 0 |\n| 4 | 0 | 0 | 0 | 9 | 0 |\n| 5 | 0 | 0 | 0 | 0 | 8 |",1]
["| Activity<br>Type | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 7 | 0 | 0 | 0 | 0 |","| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |\n| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 |\n| DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |\n| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 |",0]
["| Queries | LengthofLDC | LengthofLQDC |\n| --- | --- | --- |\n| q=1 | don’texist | Θ(n)<br>2 |","| q=2 | Θ(n)<br>2 | O(n)<br>2 |\n| --- | --- | --- |\n| q=3 | O(n)<br>2 | O(n)<br>2 |\n| q=4 | O(n)<br>2 | O(n)<br>2 |",1]
["| Queries | LengthofLDC | LengthofLQDC |\n| --- | --- | --- |\n| q=1 | don’texist | Θ(n)<br>2 |","| Servers | PIRcomplexity | QPIRcomplexity |\n| --- | --- | --- |\n| k=1 | Θ(n) | Θ(n) |\n| k=2 | O(n) | O(n) |\n| k=3 | O(n) | O(n) |\n| k=4 | O(n) | O(n) |",0]
["| Queries | LengthofLDC | LengthofLQDC |\n| --- | --- | --- |\n| q=1 | don’texist | Θ(n)<br>2 |","| q=2 | Θ(n)<br>2 | O(n)<br>2 |\n| --- | --- | --- |\n| q=3 | O(n)<br>2 | O(n)<br>2 |\n| q=4 | O(n)<br>2 | O(n)<br>2 |",1]
["| Queries | LengthofLDC | LengthofLQDC |\n| --- | --- | --- |\n| q=1 | don’texist | Θ(n)<br>2 |","| k=3 | O(n) | O(n) |\n| --- | --- | --- |\n| k=4 | O(n) | O(n) |",0]
["| UCIDataset | Acronym | Targetclass | #Target | #Non-target | #Params |\n| --- | --- | --- | --- | --- | --- |\n| Low-dimensional |  |  |  |  |  |\n| Abalone<br>Biomed<br>BreastWisconsin<br>Diabetes(primaindians)<br>Ecoli<br>Iris<br>Liver | AB<br>BI<br>BW<br>D<br>E<br>I<br>L | 1<br>normal<br>benign<br>present<br>pp<br>Iris-setosa<br>healthy | 1407<br>127<br>458<br>500<br>52<br>50<br>200 | 2770<br>67<br>241<br>268<br>284<br>100<br>145 | 10<br>5<br>9<br>8<br>7<br>4<br>6 |","| High-dimensional |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Arrhythmia<br>Breastcancerwisconsin(diagnostic)<br>Breastcancerwisconsin(prognostic)<br>Colon<br>Concordia<br>Sonar<br>Spectf | AR<br>BC-D<br>BC-P<br>C<br>CO<br>S<br>SP | normal<br>B<br>N<br>normal<br>2<br>M<br>0 | 237<br>357<br>151<br>22<br>400<br>111<br>95 | 183<br>212<br>47<br>40<br>3600<br>97<br>254 | 278<br>30<br>33<br>1908<br>1024<br>60<br>44 |",1]
["| UCIDataset | Acronym | Targetclass | #Target | #Non-target | #Params |\n| --- | --- | --- | --- | --- | --- |\n| Low-dimensional |  |  |  |  |  |\n| Abalone<br>Biomed<br>BreastWisconsin<br>Diabetes(primaindians)<br>Ecoli<br>Iris<br>Liver | AB<br>BI<br>BW<br>D<br>E<br>I<br>L | 1<br>normal<br>benign<br>present<br>pp<br>Iris-setosa<br>healthy | 1407<br>127<br>458<br>500<br>52<br>50<br>200 | 2770<br>67<br>241<br>268<br>284<br>100<br>145 | 10<br>5<br>9<br>8<br>7<br>4<br>6 |","|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |\n| Heart | 45 | 45 | 48 | 50 | 43 |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["| UCIDataset | Acronym | Targetclass | #Target | #Non-target | #Params |\n| --- | --- | --- | --- | --- | --- |\n| Low-dimensional |  |  |  |  |  |","| Abalone<br>Biomed<br>BreastWisconsin<br>Diabetes(primaindians)<br>Ecoli<br>Iris<br>Liver | AB<br>BI<br>BW<br>D<br>E<br>I<br>L | 1<br>normal<br>benign<br>present<br>pp<br>Iris-setosa<br>healthy | 1407<br>127<br>458<br>500<br>52<br>50<br>200 | 2770<br>67<br>241<br>268<br>284<br>100<br>145 | 10<br>5<br>9<br>8<br>7<br>4<br>6 |\n| --- | --- | --- | --- | --- | --- |\n| High-dimensional |  |  |  |  |  |\n| Arrhythmia<br>Breastcancerwisconsin(diagnostic)<br>Breastcancerwisconsin(prognostic)<br>Colon<br>Concordia<br>Sonar<br>Spectf | AR<br>BC-D<br>BC-P<br>C<br>CO<br>S<br>SP | normal<br>B<br>N<br>normal<br>2<br>M<br>0 | 237<br>357<br>151<br>22<br>400<br>111<br>95 | 183<br>212<br>47<br>40<br>3600<br>97<br>254 | 278<br>30<br>33<br>1908<br>1024<br>60<br>44 |",1]
["| UCIDataset | Acronym | Targetclass | #Target | #Non-target | #Params |\n| --- | --- | --- | --- | --- | --- |\n| Low-dimensional |  |  |  |  |  |","| Heart | 45 | 45 | 48 | 50 | 43 |\n| --- | --- | --- | --- | --- | --- |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["| Numberofproposals | 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SS | 59.00 | 64.60 | 70.20 | 74.20 | 77.50 | 78.40 |\n| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 |","| MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 |\n| FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |",1]
["| Numberofproposals | 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SS | 59.00 | 64.60 | 70.20 | 74.20 | 77.50 | 78.40 |\n| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 |","| pros | cons |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ps | Rs | Pe | Re | Ps | Rs | Pe | Re |\n| 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 |\n| 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 |\n| 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 |\n| 52.7 | 69.4 | 78.5 | 8.6 | 30.9 | 43.8 | 61.3 | 3.5 |\n| 26.0 | 50.8 | 59.6 | 38.9 | 26.2 | 40.8 | 56.3 | 25.0 |",0]
["| Numberofproposals | 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SS | 59.00 | 64.60 | 70.20 | 74.20 | 77.50 | 78.40 |\n| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 |\n| MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 |","| SharpMask | 73.79 | 74.07 | 73.34 | 73.15 | 73.70 | 74.01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| FastMask | 75.87 | 75.03 | 74.42 | 74.04 | − | − |",1]
["| Numberofproposals | 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SS | 59.00 | 64.60 | 70.20 | 74.20 | 77.50 | 78.40 |\n| GOP | 66.20 | 71.50 | 73.30 | 76.30 | 77.70 | 79.60 |\n| MCG | 77.20 | 77.50 | 78.60 | 79.30 | 80.20 | 80.90 |","| 22.1 | 59.6 | 70.8 | 30.1 | 19.5 | 44.2 | 59.7 | 17.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 45.5 | 66.3 | 78.7 | 6.6 | 30.2 | 48.6 | 64.3 | 2.9 |\n| 33.2 | 54.4 | 65.9 | 26.7 | 27.0 | 37.7 | 51.1 | 15.0 |\n| 52.7 | 69.4 | 78.5 | 8.6 | 30.9 | 43.8 | 61.3 | 3.5 |\n| 26.0 | 50.8 | 59.6 | 38.9 | 26.2 | 40.8 | 56.3 | 25.0 |",0]
["| Algorithm | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Proposedalgorithm | −0.0014 | 0.0025 | 0.0051 |\n| Ref. | 0.002 | 0.0062 | 0.0066 |\n| Ref. | −0.0069 | −0.0188 | −0.0482 |\n| Ref. | −0.0274 | 0.0046 | −0.0038 |","| Ref. | 0.319 | 0.3314 | 0.0149 |\n| --- | --- | --- | --- |\n| Ref. | −0.0016 | −0.0033 | 0.0130 |\n| Ref. | −0.0226 | 0.0041 | 0.0368 |",1]
["| Algorithm | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Proposedalgorithm | −0.0014 | 0.0025 | 0.0051 |\n| Ref. | 0.002 | 0.0062 | 0.0066 |\n| Ref. | −0.0069 | −0.0188 | −0.0482 |\n| Ref. | −0.0274 | 0.0046 | −0.0038 |","| Method | IOUthreshold=0.5 | IOUthreshold=0.7 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |\n| Quad | 0.767 | 0.872 | 0.817 | 0.577 | 0.676 | 0.623 |\n| RRMS | 0.766 | 0.875 | 0.817 | 0.569 | 0.623 | 0.594 |\n| QuadMS | 0.785 | 0.878 | 0.829 | 0.617 | 0.690 | 0.651 |",0]
["| Algorithm | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Proposedalgorithm | −0.0014 | 0.0025 | 0.0051 |\n| Ref. | 0.002 | 0.0062 | 0.0066 |","| Ref. | −0.0069 | −0.0188 | −0.0482 |\n| --- | --- | --- | --- |\n| Ref. | −0.0274 | 0.0046 | −0.0038 |\n| Ref. | 0.319 | 0.3314 | 0.0149 |\n| Ref. | −0.0016 | −0.0033 | 0.0130 |\n| Ref. | −0.0226 | 0.0041 | 0.0368 |",1]
["| Algorithm | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Proposedalgorithm | −0.0014 | 0.0025 | 0.0051 |\n| Ref. | 0.002 | 0.0062 | 0.0066 |","| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Quad | 0.767 | 0.872 | 0.817 | 0.577 | 0.676 | 0.623 |\n| RRMS | 0.766 | 0.875 | 0.817 | 0.569 | 0.623 | 0.594 |\n| QuadMS | 0.785 | 0.878 | 0.829 | 0.617 | 0.690 | 0.651 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |","| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| --- | --- | --- | --- |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |\n| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |","| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.8259 | 0.8019 | 0.8137 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.8311 | 0.8235 | 0.8273 |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6927 | 0.8446 | 0.7612 |\n| MCTA | 0.7050 | 0.7419 | 0.7229 |\n| TVIA | 0.6993 | 0.7240 | 0.7114 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |","| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| --- | --- | --- | --- |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |","| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| --- | --- | --- | --- |\n| ConvNetCNN3 | 0.6927 | 0.8446 | 0.7612 |\n| MCTA | 0.7050 | 0.7419 | 0.7229 |\n| TVIA | 0.6993 | 0.7240 | 0.7114 |",0]
["| Parameters |  |  |  |\n| --- | --- | --- | --- |\n| L | 5mm | r | 13.75Ω/mm |\n| w | 0.8µm | l | 1.736nH/mm |\n| s | 0.8µm | c | 8.263fF/mm |","| t | 2µm | cc | 101.136fF/mm |\n| --- | --- | --- | --- |\n| h | 4.82µm | RS | 100Ω |\n| K | 2.5 | CL | 0fF |",1]
["| Parameters |  |  |  |\n| --- | --- | --- | --- |\n| L | 5mm | r | 13.75Ω/mm |\n| w | 0.8µm | l | 1.736nH/mm |\n| s | 0.8µm | c | 8.263fF/mm |","|  | Evaluationmetric | MM | ALS | B-NFM | PGM | DRCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=3 | AC<br>NMI | 0.9173<br>(2.800e-4)<br>0.7351<br>(2.488e-3) | 0.9133<br>(2.6111e-4)<br>0.7344<br>(1.654e-3) | 0.8820<br>(1.644e-4)<br>0.6806<br>(6.069e-4) | 0.9160<br>(1.800e-4)<br>0.7307<br>(1.792e-3) | 0.9013<br>(3.589e-4)<br>0.7115<br>(1.704e-3) |\n| K=4 | AC<br>NMI | 0.7140<br>(8.518e-4)<br>0.4654<br>(1.726e-3) | 0.6520<br>(8.611e-3)<br>0.4181<br>(3.279e-3) | 0.6780<br>(4.138e-4)<br>0.4446<br>(5.964e-4) | 0.7195<br>(5.325e-4)<br>0.4680<br>(1.181e-3) | 0.6575<br>(3.237e-3)<br>0.4071<br>(3.278e-3) |\n| K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) |\n| K=6 | AC<br>NMI | 0.5370<br>(4.249e-3)<br>0.4007<br>(9.891e-4) | 0.5337<br>(3.626e-3)<br>0.3852<br>(6.482e-4) | 0.5156<br>(3.812e-3)<br>0.3980<br>(1.197e-3) | 0.5466<br>(4.257e-3)<br>0.3962<br>(1.507e-3) | 0.4983<br>(1.061e-3)<br>0.3670<br>(1.348e-3) |\n| K=7 | AC<br>NMI | 0.5988<br>(8.816e-5)<br>0.5382<br>(7.593e-4) | 0.5974<br>(3.295e-3)<br>0.5378<br>(1.607e-3) | 0.5762<br>(1.051e-3)<br>0.4972<br>(7.238e-4) | 0.5940<br>(3.704e-3)<br>0.5342<br>(9.776e-4) | 0.6585<br>(1.789e-3)<br>0.5629<br>(9.366e-4) |\n| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) |\n| K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) |\n| K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |",0]
["| Parameters |  |  |  |\n| --- | --- | --- | --- |\n| L | 5mm | r | 13.75Ω/mm |","| w | 0.8µm | l | 1.736nH/mm |\n| --- | --- | --- | --- |\n| s | 0.8µm | c | 8.263fF/mm |\n| t | 2µm | cc | 101.136fF/mm |\n| h | 4.82µm | RS | 100Ω |\n| K | 2.5 | CL | 0fF |",1]
["| Parameters |  |  |  |\n| --- | --- | --- | --- |\n| L | 5mm | r | 13.75Ω/mm |","| K=5 | AC<br>NMI | 0.6216<br>(7.731e-3)<br>0.5201<br>(2.080e-3) | 0.7112<br>(3.292e-4)<br>0.5590<br>(1.018e-3) | 0.6104<br>(3.839e-3)<br>0.4992<br>(2.921e-3) | 0.6764<br>(1.533e-3)<br>0.5373<br>(9.196e-4) | 0.6632<br>(2.792e-4)<br>0.5198<br>(2.156e-4) |\n| --- | --- | --- | --- | --- | --- | --- |\n| K=6 | AC<br>NMI | 0.5370<br>(4.249e-3)<br>0.4007<br>(9.891e-4) | 0.5337<br>(3.626e-3)<br>0.3852<br>(6.482e-4) | 0.5156<br>(3.812e-3)<br>0.3980<br>(1.197e-3) | 0.5466<br>(4.257e-3)<br>0.3962<br>(1.507e-3) | 0.4983<br>(1.061e-3)<br>0.3670<br>(1.348e-3) |\n| K=7 | AC<br>NMI | 0.5988<br>(8.816e-5)<br>0.5382<br>(7.593e-4) | 0.5974<br>(3.295e-3)<br>0.5378<br>(1.607e-3) | 0.5762<br>(1.051e-3)<br>0.4972<br>(7.238e-4) | 0.5940<br>(3.704e-3)<br>0.5342<br>(9.776e-4) | 0.6585<br>(1.789e-3)<br>0.5629<br>(9.366e-4) |\n| K=8 | AC<br>NMI | 0.6455<br>(3.217e-3)<br>0.5427<br>(5.694e-4) | 0.6162<br>(8.523e-4)<br>0.5496<br>(6.968e-4) | 0.5930<br>(3.880e-3)<br>0.4979<br>(1.329e-3) | 0.5942<br>(3.267e-3)<br>0.5152<br>(2.243e-3) | 0.6270<br>(2.312e-3)<br>0.5033<br>(3.711e-3) |\n| K=9 | AC<br>NMI | 0.5211<br>(1.251e-3)<br>0.4621<br>(3.209e-4) | 0.5567<br>(8.173e-4)<br>0.4716<br>(3.473e-4) | 0.5137<br>(5.528e-4)<br>0.4343<br>(3.890e-4) | 0.5302<br>(1.816e-3)<br>0.4720<br>(5.279e-4) | 0.5240<br>(7.867e-4)<br>0.4493<br>(8.811e-4) |\n| K=10 | AC<br>NMI | 0.4980<br>(1.154e-3)<br>0.4470<br>(7.543e-4) | 0.4800<br>(9.220e-4)<br>0.4505<br>(5.267e-4) | 0.4474<br>(5.823e-4)<br>0.4089<br>(3.474e-4) | 0.4958<br>(1.833e-3)<br>0.4516<br>(2.051e-3) | 0.4668<br>(2.846e-3)<br>0.4053<br>(3.402e-3) |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["|  | WholeROI | KidneyBoundingbox |  |  |\n| --- | --- | --- | --- | --- |\n|  | DW | DW+RS | DW | DW+RS |\n| Artery | 0.86 | 0.88 | 0.72 | 0.72 |","| Vein | 0.59 | 0.57 | 0.60 | 0.67 |\n| --- | --- | --- | --- | --- |\n| Ureter | 0.32 | 0.62 | 0.41 | 0.63 |",1]
["|  | WholeROI | KidneyBoundingbox |  |  |\n| --- | --- | --- | --- | --- |\n|  | DW | DW+RS | DW | DW+RS |\n| Artery | 0.86 | 0.88 | 0.72 | 0.72 |","|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |\n| Heart | 45 | 45 | 48 | 50 | 43 |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["|  | WholeROI | KidneyBoundingbox |  |  |\n| --- | --- | --- | --- | --- |\n|  | DW | DW+RS | DW | DW+RS |","| Artery | 0.86 | 0.88 | 0.72 | 0.72 |\n| --- | --- | --- | --- | --- |\n| Vein | 0.59 | 0.57 | 0.60 | 0.67 |\n| Ureter | 0.32 | 0.62 | 0.41 | 0.63 |",1]
["|  | WholeROI | KidneyBoundingbox |  |  |\n| --- | --- | --- | --- | --- |\n|  | DW | DW+RS | DW | DW+RS |","| Heart | 45 | 45 | 48 | 50 | 43 |\n| --- | --- | --- | --- | --- | --- |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["| ModelHighLow | ρ |\n| --- | --- |\n| Baseline0.470.44 | 0.16 |\n| Add0.900.90<br>Multiply0.670.59 | 0.05<br>0.17 |\n| Categorical |  |","| Indirectmatrix0.730.72 | 0.21 |\n| --- | --- |\n| 0-diagmatrix0.670.59 | 0.17 |\n| 1-diagmatrix0.860.85 | 0.08 |\n| v⊗vmatrix0.340.26 | 0.28 |\n| UpperBound4.802.49 | 0.62 |",1]
["| ModelHighLow | ρ |\n| --- | --- |\n| Baseline0.470.44 | 0.16 |\n| Add0.900.90<br>Multiply0.670.59 | 0.05<br>0.17 |\n| Categorical |  |","| Model | C | d | Q |\n| --- | --- | --- | --- |\n| Full | 0.14 | 4.0 | 0.40 |\n| Nodistance | 0.13 | 3.8 | 0.33 |\n| Nocategories | 0.01 | 3.8 | 0.29 |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",0]
["| ModelHighLow | ρ |\n| --- | --- |\n| Baseline0.470.44 | 0.16 |\n| Add0.900.90<br>Multiply0.670.59 | 0.05<br>0.17 |\n| Categorical |  |\n| Indirectmatrix0.730.72 | 0.21 |\n| 0-diagmatrix0.670.59 | 0.17 |\n| 1-diagmatrix0.860.85 | 0.08 |","| v⊗vmatrix0.340.26 | 0.28 |\n| --- | --- |\n| UpperBound4.802.49 | 0.62 |",1]
["| ModelHighLow | ρ |\n| --- | --- |\n| Baseline0.470.44 | 0.16 |\n| Add0.900.90<br>Multiply0.670.59 | 0.05<br>0.17 |\n| Categorical |  |\n| Indirectmatrix0.730.72 | 0.21 |\n| 0-diagmatrix0.670.59 | 0.17 |\n| 1-diagmatrix0.860.85 | 0.08 |","| Nodistance | 0.13 | 3.8 | 0.33 |\n| --- | --- | --- | --- |\n| Nocategories | 0.01 | 3.8 | 0.29 |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",0]
["|  | Chat | Youtube |  |  |\n| --- | --- | --- | --- | --- |\n|  | Full | Reduced | Full | Reduced |","| Maximum | 0.9997 | 0.9914 | 0.9916 | 0.9933 |\n| --- | --- | --- | --- | --- |\n| Average | 0.9995 | 0.9901 | 0.9907 | 0.9925 |\n| Minimum | 0.9994 | 0.9894 | 0.9897 | 0.9915 |",1]
["|  | Chat | Youtube |  |  |\n| --- | --- | --- | --- | --- |\n|  | Full | Reduced | Full | Reduced |","|  | #ofvideos | Averageframes | Datasetlength |\n| --- | --- | --- | --- |\n| UCSDPed1 | 70 | 201 | 5min |\n| UCSDPed2 | 28 | 163 | 5min |\n| SubwayEntrance | 1 | 121,749 | 1.5hours |\n| SubwaExit | 1 | 64,901 | 1.5hours |\n| Avenue | 37 | 839 | 30min |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",0]
["|  | Chat | Youtube |  |  |\n| --- | --- | --- | --- | --- |\n|  | Full | Reduced | Full | Reduced |","| Maximum | 0.9997 | 0.9914 | 0.9916 | 0.9933 |\n| --- | --- | --- | --- | --- |\n| Average | 0.9995 | 0.9901 | 0.9907 | 0.9925 |\n| Minimum | 0.9994 | 0.9894 | 0.9897 | 0.9915 |",1]
["|  | Chat | Youtube |  |  |\n| --- | --- | --- | --- | --- |\n|  | Full | Reduced | Full | Reduced |","| Avenue | 37 | 839 | 30min |\n| --- | --- | --- | --- |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",0]
["| Methods | MAE | AEV | RelativeF-<br>measure |\n| --- | --- | --- | --- |\n| MotionAttention | 0.4791 | 0.1280 | 0.6018 |","| VisualAttention | 0.3842 | 0.2282 | 0.3679 |\n| --- | --- | --- | --- |\n| SVD | 0.3639 | 0.0808 | 0.6915 |\n| ProposedCNN | 0.3212 | 0.0572 | 0.7222 |",1]
["| Methods | MAE | AEV | RelativeF-<br>measure |\n| --- | --- | --- | --- |\n| MotionAttention | 0.4791 | 0.1280 | 0.6018 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| HF | 3.51 | 18.70 |\n| SPPF | 3.47 | 17.46 |\n| LFV | 3.37 | 18.14 |\n| ourmethod | 2.41 | 9.12 |",0]
["| Methods | MAE | AEV | RelativeF-<br>measure |\n| --- | --- | --- | --- |\n| MotionAttention | 0.4791 | 0.1280 | 0.6018 |\n| VisualAttention | 0.3842 | 0.2282 | 0.3679 |","| SVD | 0.3639 | 0.0808 | 0.6915 |\n| --- | --- | --- | --- |\n| ProposedCNN | 0.3212 | 0.0572 | 0.7222 |",1]
["| Methods | MAE | AEV | RelativeF-<br>measure |\n| --- | --- | --- | --- |\n| MotionAttention | 0.4791 | 0.1280 | 0.6018 |\n| VisualAttention | 0.3842 | 0.2282 | 0.3679 |","| LFV | 3.37 | 18.14 |\n| --- | --- | --- |\n| ourmethod | 2.41 | 9.12 |",0]
["| Track1 | Track2 | Track3 |\n| --- | --- | --- |\n| 1.00<br>1.00<br>1.00 | 1.00<br>1.00<br>1.00 | 0.95<br>1.00<br>1.00 |\n| 1.00<br>1.00 | 1.00<br>0.95 | 1.00<br>0.91 |","| 0.17<br>1.00 | 1.00<br>1.00 | 0.82<br>0.82 |\n| --- | --- | --- |\n| 0.50<br>0.42 | 0.75<br>1.00 | 0.73<br>0.91 |",1]
["| Track1 | Track2 | Track3 |\n| --- | --- | --- |\n| 1.00<br>1.00<br>1.00 | 1.00<br>1.00<br>1.00 | 0.95<br>1.00<br>1.00 |\n| 1.00<br>1.00 | 1.00<br>0.95 | 1.00<br>0.91 |","| 81.46<br>81.89<br>81.58<br>82.45 |\n| --- |\n| 79.70<br>80.27<br>80.91 |\n| 81.15 |\n| 69.19<br>74.70<br>75.80 |\n| 79.65<br>81.38 |",0]
["| Track1 | Track2 | Track3 |\n| --- | --- | --- |\n| 1.00<br>1.00<br>1.00 | 1.00<br>1.00<br>1.00 | 0.95<br>1.00<br>1.00 |","| 1.00<br>1.00 | 1.00<br>0.95 | 1.00<br>0.91 |\n| --- | --- | --- |\n| 0.17<br>1.00 | 1.00<br>1.00 | 0.82<br>0.82 |\n| 0.50<br>0.42 | 0.75<br>1.00 | 0.73<br>0.91 |",1]
["| Track1 | Track2 | Track3 |\n| --- | --- | --- |\n| 1.00<br>1.00<br>1.00 | 1.00<br>1.00<br>1.00 | 0.95<br>1.00<br>1.00 |","| 81.15 |\n| --- |\n| 69.19<br>74.70<br>75.80 |\n| 79.65<br>81.38 |",0]
["| Group | TrainData | ValidationData | TestData |\n| --- | --- | --- | --- |\n| 18-28 | 50 | 7 | 14 |\n| 29-38 | 53 | 7 | 15 |\n| 39-48 | 51 | 7 | 14 |\n| 49-58 | 42 | 6 | 12 |","| 59-68+ | 42 | 6 | 12 |\n| --- | --- | --- | --- |\n| Male | 131 | 19 | 38 |\n| Female | 105 | 15 | 30 |",1]
["| Group | TrainData | ValidationData | TestData |\n| --- | --- | --- | --- |\n| 18-28 | 50 | 7 | 14 |\n| 29-38 | 53 | 7 | 15 |\n| 39-48 | 51 | 7 | 14 |\n| 49-58 | 42 | 6 | 12 |","| Phase | Train | Validation | Test |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |\n| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |\n| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",0]
["| Group | TrainData | ValidationData | TestData |\n| --- | --- | --- | --- |\n| 18-28 | 50 | 7 | 14 |\n| 29-38 | 53 | 7 | 15 |\n| 39-48 | 51 | 7 | 14 |","| 49-58 | 42 | 6 | 12 |\n| --- | --- | --- | --- |\n| 59-68+ | 42 | 6 | 12 |\n| Male | 131 | 19 | 38 |\n| Female | 105 | 15 | 30 |",1]
["| Group | TrainData | ValidationData | TestData |\n| --- | --- | --- | --- |\n| 18-28 | 50 | 7 | 14 |\n| 29-38 | 53 | 7 | 15 |\n| 39-48 | 51 | 7 | 14 |","| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",0]
["| Method | Vrand | Vinfo | FCN | post-processing | averageover | parameters(M) |\n| --- | --- | --- | --- | --- | --- | --- |\n| CUMedVision | 0.977 | 0.989 | YES | YES | 6 | 8 |\n| Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |","| IDSIA | 0.970 | 0.985 | NO | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| motif | 0.972 | 0.985 | NO | - | - | - |\n| SCI | 0.971 | 0.982 | NO | - | - | - |\n| optree-idsia | 0.970 | 0.985 | NO | - | - | - |\n| PyraMiD-LSTM | 0.968 | 0.983 | NO | - | - | - |\n| Ours(L)Dice | 0.969 | 0.986 | YES | NO | Dropout | 11 |\n| Ours(L)bce | 0.957 | 0.980 | YES | NO | 1 | 11 |",1]
["| Method | Vrand | Vinfo | FCN | post-processing | averageover | parameters(M) |\n| --- | --- | --- | --- | --- | --- | --- |\n| CUMedVision | 0.977 | 0.989 | YES | YES | 6 | 8 |\n| Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |","| Methods | Dice | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core |  |\n| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |\n| Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |\n| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 |\n| Kamnitsas | 0.85 | 0.67 | 0.63 | 0.85 | 0.86 | 0.63 | 0.88 | 0.60 |\n| U-net | 0.80 | 0.63 | 0.64 | 0.83 | 0.81 | 0.78 | 0.80 | 0.58 |\n| SegAN | 0.85 | 0.70 | 0.66 | 0.92 | 0.80 | 0.69 | 0.80 | 0.65 |",0]
["| Method | Vrand | Vinfo | FCN | post-processing | averageover | parameters(M) |\n| --- | --- | --- | --- | --- | --- | --- |\n| CUMedVision | 0.977 | 0.989 | YES | YES | 6 | 8 |\n| Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |\n| IDSIA | 0.970 | 0.985 | NO | - | - | - |","| motif | 0.972 | 0.985 | NO | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| SCI | 0.971 | 0.982 | NO | - | - | - |\n| optree-idsia | 0.970 | 0.985 | NO | - | - | - |\n| PyraMiD-LSTM | 0.968 | 0.983 | NO | - | - | - |\n| Ours(L)Dice | 0.969 | 0.986 | YES | NO | Dropout | 11 |\n| Ours(L)bce | 0.957 | 0.980 | YES | NO | 1 | 11 |",1]
["| Method | Vrand | Vinfo | FCN | post-processing | averageover | parameters(M) |\n| --- | --- | --- | --- | --- | --- | --- |\n| CUMedVision | 0.977 | 0.989 | YES | YES | 6 | 8 |\n| Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |\n| IDSIA | 0.970 | 0.985 | NO | - | - | - |","| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |\n| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 |\n| Kamnitsas | 0.85 | 0.67 | 0.63 | 0.85 | 0.86 | 0.63 | 0.88 | 0.60 |\n| U-net | 0.80 | 0.63 | 0.64 | 0.83 | 0.81 | 0.78 | 0.80 | 0.58 |\n| SegAN | 0.85 | 0.70 | 0.66 | 0.92 | 0.80 | 0.69 | 0.80 | 0.65 |",0]
["| Items | Cost(inUS$) |\n| --- | --- |\n| ArduinoMega | 90 |\n| ArduinoMega2560-controlboard | 60 |\n| Bipolar5.18:1PlanetaryGearboxStepper | 25 |\n| Bipolar99.55:1PlanetaryGearboxStepper | 35 |\n| StepperMotorDriver | 20 |\n| RealTimeClock | 15 |\n| BigEasyStepperMotorDriver | 30 |\n| 12VDCPowerSupply | 50 |\n| BaseHardplasticorAcrylic(Water-proofhousing) | 120 |\n| PlasticDome | 25 |\n| MetalArm | 50 |\n| SunBlocker | 5 |\n| Cablesandaccessories | 40 |\n| Sigma4.5mmF2.8EXDCHSMCircularFisheyeLens | 950 |\n| CanonEOSRebelT3i(600D)camerabody | 360 |\n| Alterationfornear-infraredsensitivity | 300 |","| Built-inlaptop | 350 |\n| --- | --- |\n| TotalCost | 2525 |",1]
["| Items | Cost(inUS$) |\n| --- | --- |\n| ArduinoMega | 90 |\n| ArduinoMega2560-controlboard | 60 |\n| Bipolar5.18:1PlanetaryGearboxStepper | 25 |\n| Bipolar99.55:1PlanetaryGearboxStepper | 35 |\n| StepperMotorDriver | 20 |\n| RealTimeClock | 15 |\n| BigEasyStepperMotorDriver | 30 |\n| 12VDCPowerSupply | 50 |\n| BaseHardplasticorAcrylic(Water-proofhousing) | 120 |\n| PlasticDome | 25 |\n| MetalArm | 50 |\n| SunBlocker | 5 |\n| Cablesandaccessories | 40 |\n| Sigma4.5mmF2.8EXDCHSMCircularFisheyeLens | 950 |\n| CanonEOSRebelT3i(600D)camerabody | 360 |\n| Alterationfornear-infraredsensitivity | 300 |","| Facet | Numberofmanually<br>deﬁnedclusters | Hierarchicalclustering | Non-hierarchicalclustering |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Purity | I-Purity | F1 | Purity | I-Purity | F1 |  |  |\n| Battery | 4 | 0.864 | 0.591 | 0.702 | 0.864 | 0.636 | 0.733 |\n| Memory | 3 | 0.643 | 1.000 | 0.783 | 0.643 | 0.786 | 0.707 |\n| Flash | 4 | 0.556 | 0.722 | 0.628 | 0.667 | 0.722 | 0.693 |\n| LCD | 6 | 0.478 | 0.826 | 0.606 | 0.565 | 1.000 | 0.722 |\n| Lens | 7 | 0.792 | 1.000 | 0.884 | 0.792 | 1.000 | 0.884 |\n| Megapixels | 5 | 0.621 | 0.483 | 0.543 | 0.724 | 0.552 | 0.626 |\n| Mode | 6 | 0.813 | 1.000 | 0.897 | 0.813 | 1.000 | 0.897 |\n| Shutter | 6 | 0.643 | 0.929 | 0.760 | 0.643 | 0.929 | 0.760 |\n| Average | 5.13 | 0.676 | 0.819 | 0.725 | 0.714 | 0.828 | 0.753 |\n| Battery | 3 | 0.824 | 0.765 | 0.793 | 0.765 | 0.706 | 0.734 |\n| Camera | 3 | 0.727 | 0.636 | 0.679 | 0.727 | 0.636 | 0.679 |\n| Headset | 4 | 0.467 | 0.733 | 0.570 | 0.400 | 0.600 | 0.480 |\n| Radio | 3 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 | 0.737 |\n| Service | 5 | 0.438 | 0.875 | 0.583 | 0.563 | 1.000 | 0.720 |\n| Signal | 3 | 0.824 | 0.941 | 0.878 | 0.824 | 0.765 | 0.793 |\n| Size | 3 | 0.760 | 0.680 | 0.718 | 0.920 | 0.680 | 0.782 |\n| Speaker | 4 | 0.684 | 0.895 | 0.775 | 0.684 | 0.789 | 0.733 |\n| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |\n| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |\n| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 |\n| Format | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.571 | 0.727 |\n| Design | 1 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |\n| Service | 1 | 1.000 | 0.739 | 0.850 | 1.000 | 0.522 | 0.686 |\n| Picture | 4 | 0.800 | 0.850 | 0.824 | 0.800 | 0.850 | 0.824 |\n| Average | 2.00 | 0.904 | 0.795 | 0.837 | 0.894 | 0.743 | 0.791 |",0]
["| Items | Cost(inUS$) |\n| --- | --- |\n| ArduinoMega | 90 |\n| ArduinoMega2560-controlboard | 60 |\n| Bipolar5.18:1PlanetaryGearboxStepper | 25 |\n| Bipolar99.55:1PlanetaryGearboxStepper | 35 |\n| StepperMotorDriver | 20 |\n| RealTimeClock | 15 |\n| BigEasyStepperMotorDriver | 30 |\n| 12VDCPowerSupply | 50 |\n| BaseHardplasticorAcrylic(Water-proofhousing) | 120 |\n| PlasticDome | 25 |\n| MetalArm | 50 |\n| SunBlocker | 5 |\n| Cablesandaccessories | 40 |\n| Sigma4.5mmF2.8EXDCHSMCircularFisheyeLens | 950 |\n| CanonEOSRebelT3i(600D)camerabody | 360 |","| Alterationfornear-infraredsensitivity | 300 |\n| --- | --- |\n| Built-inlaptop | 350 |\n| TotalCost | 2525 |",1]
["| Items | Cost(inUS$) |\n| --- | --- |\n| ArduinoMega | 90 |\n| ArduinoMega2560-controlboard | 60 |\n| Bipolar5.18:1PlanetaryGearboxStepper | 25 |\n| Bipolar99.55:1PlanetaryGearboxStepper | 35 |\n| StepperMotorDriver | 20 |\n| RealTimeClock | 15 |\n| BigEasyStepperMotorDriver | 30 |\n| 12VDCPowerSupply | 50 |\n| BaseHardplasticorAcrylic(Water-proofhousing) | 120 |\n| PlasticDome | 25 |\n| MetalArm | 50 |\n| SunBlocker | 5 |\n| Cablesandaccessories | 40 |\n| Sigma4.5mmF2.8EXDCHSMCircularFisheyeLens | 950 |\n| CanonEOSRebelT3i(600D)camerabody | 360 |","| Average | 3.50 | 0.682 | 0.783 | 0.717 | 0.702 | 0.739 | 0.722 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Price | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.762 | 0.865 |\n| Remote | 4 | 0.625 | 0.750 | 0.682 | 0.563 | 0.750 | 0.643 |\n| Format | 1 | 1.000 | 0.714 | 0.833 | 1.000 | 0.571 | 0.727 |\n| Design | 1 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |\n| Service | 1 | 1.000 | 0.739 | 0.850 | 1.000 | 0.522 | 0.686 |\n| Picture | 4 | 0.800 | 0.850 | 0.824 | 0.800 | 0.850 | 0.824 |\n| Average | 2.00 | 0.904 | 0.795 | 0.837 | 0.894 | 0.743 | 0.791 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| 2012 | 38.03 | 37.66 | 44.51 | 44.63 |\n| 2013 | 37.47 | 36.85 | 43.21 | 42.74 |\n| 2014 | 46.06 | 48.32 | 52.85 | 52.87 |\n| 2015 | 47.82 | 51.76 | 56.22 | 56.14 |","| SICK | 51.58 | 51.76 | 56.15 | 56.11 |\n| --- | --- | --- | --- | --- |\n| all | 43.48 | 44.67 | 50.01 | 50.23 |",1]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| 2012 | 38.03 | 37.66 | 44.51 | 44.63 |\n| 2013 | 37.47 | 36.85 | 43.21 | 42.74 |\n| 2014 | 46.06 | 48.32 | 52.85 | 52.87 |\n| 2015 | 47.82 | 51.76 | 56.22 | 56.14 |","|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| RG65 | 80.66 | 82.96 | 47.53 | 47.67 |\n| WS | 65.89 | 74.37 | 54.21 | 54.35 |\n| RW | 45.11 | 51.23 | 43.96 | 43.72 |\n| MEN | 73.56 | 77.22 | 65.48 | 65.62 |\n| MTurk | 64.35 | 66.11 | 59.65 | 60.03 |\n| SimLex | 34.05 | 36.55 | 34.86 | 34.91 |\n| SimVerb | 16.05 | 21.84 | 23.79 | 23.83 |",0]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| 2012 | 38.03 | 37.66 | 44.51 | 44.63 |","| 2013 | 37.47 | 36.85 | 43.21 | 42.74 |\n| --- | --- | --- | --- | --- |\n| 2014 | 46.06 | 48.32 | 52.85 | 52.87 |\n| 2015 | 47.82 | 51.76 | 56.22 | 56.14 |\n| SICK | 51.58 | 51.76 | 56.15 | 56.11 |\n| all | 43.48 | 44.67 | 50.01 | 50.23 |",1]
["|  | RAND-WALK | TSCCA |  |  |\n| --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. |  |\n| 2012 | 38.03 | 37.66 | 44.51 | 44.63 |","| MTurk | 64.35 | 66.11 | 59.65 | 60.03 |\n| --- | --- | --- | --- | --- |\n| SimLex | 34.05 | 36.55 | 34.86 | 34.91 |\n| SimVerb | 16.05 | 21.84 | 23.79 | 23.83 |",0]
["|  | English→Hindi |  |\n| --- | --- | --- |\n|  | MatchSwapUnalignedMerge | Edges |\n| Baseline | 47.79.120.91.6 | 794 |\n| Remove | 66.111.70.02.1 | 622 |\n| Merge | 69.512.30.00.0 | 586 |\n| Swap | 90.30.30.00.0 | 586 |\n|  | Hindi→English |  |","| Baseline | 46.35.620.71.7 | 816 |\n| --- | --- | --- |\n| Remove | 63.45.30.02.2 | 647 |\n| Merge | 69.24.60.00.0 | 587 |\n| Swap | 89.92.40.00.0 | 587 |",1]
["|  | English→Hindi |  |\n| --- | --- | --- |\n|  | MatchSwapUnalignedMerge | Edges |\n| Baseline | 47.79.120.91.6 | 794 |\n| Remove | 66.111.70.02.1 | 622 |\n| Merge | 69.512.30.00.0 | 586 |\n| Swap | 90.30.30.00.0 | 586 |\n|  | Hindi→English |  |","| Scripts | NumberofSamples |  |  |  |\n| --- | --- | --- | --- | --- |\n| CharacterLevel | WordLevel |  |  |  |\n| Online | Oﬄine | Online | Oﬄine |  |\n| Bangla | 10,509 | 10,897 | 10,589 | 10,687 |\n| Devanagari | 10,897 | 11,021 | 10,847 | 10,645 |\n| Gurumukhi | 9,897 | 9,789 | 9,569 | 9,657 |\n| Odia | 9,457 | 9,789 | 9,147 | 9,234 |\n| Tamil | 9,456 | 9,476 | 9,874 | 9,476 |\n| Telegu | 10,486 | 10,789 | 10,687 | 10,694 |\n| English | 10,489 | 10,879 | 11,023 | 11,458 |",0]
["|  | English→Hindi |  |\n| --- | --- | --- |\n|  | MatchSwapUnalignedMerge | Edges |\n| Baseline | 47.79.120.91.6 | 794 |\n| Remove | 66.111.70.02.1 | 622 |\n| Merge | 69.512.30.00.0 | 586 |\n| Swap | 90.30.30.00.0 | 586 |\n|  | Hindi→English |  |","| Baseline | 46.35.620.71.7 | 816 |\n| --- | --- | --- |\n| Remove | 63.45.30.02.2 | 647 |\n| Merge | 69.24.60.00.0 | 587 |\n| Swap | 89.92.40.00.0 | 587 |",1]
["|  | English→Hindi |  |\n| --- | --- | --- |\n|  | MatchSwapUnalignedMerge | Edges |\n| Baseline | 47.79.120.91.6 | 794 |\n| Remove | 66.111.70.02.1 | 622 |\n| Merge | 69.512.30.00.0 | 586 |\n| Swap | 90.30.30.00.0 | 586 |\n|  | Hindi→English |  |","| Tamil | 9,456 | 9,476 | 9,874 | 9,476 |\n| --- | --- | --- | --- | --- |\n| Telegu | 10,486 | 10,789 | 10,687 | 10,694 |\n| English | 10,489 | 10,879 | 11,023 | 11,458 |",0]
["| Modeltype | Objectivefunction |\n| --- | --- |\n| LSTM | Crossentropy |\n|  |  |\n| BLSTM+LSTM<br>LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM+HRED | Adversarial<br>Crossentropy<br>Adversarial+CosineSimilarity<br>Adversarial<br>Crossentropy |\n| LSTM<br>2LDTM+attention<br>2LSTM+attention<br>GWGM+attention<br>SEARG | Crossentropy<br>Crossentropyondiversiﬁeddata<br>+<br>Crossentropy(tunedwithtrialdata)<br>Crossentropy<br>Crossentropy |","| LSTM | Crossentropy |\n| --- | --- |\n| LSTM<br>LSTM<br>LSTM<br>LSTM<br>LSTM | MMImaxdiv<br>MMImaxBLEU(tunedwithMERT)<br>MMImixed(maxdiv+maxBLEU)<br>MMIuniform<br>Crossentropy |\n|  |  |",1]
["| Modeltype | Objectivefunction |\n| --- | --- |\n| LSTM | Crossentropy |\n|  |  |\n| BLSTM+LSTM<br>LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM+HRED | Adversarial<br>Crossentropy<br>Adversarial+CosineSimilarity<br>Adversarial<br>Crossentropy |\n| LSTM<br>2LDTM+attention<br>2LSTM+attention<br>GWGM+attention<br>SEARG | Crossentropy<br>Crossentropyondiversiﬁeddata<br>+<br>Crossentropy(tunedwithtrialdata)<br>Crossentropy<br>Crossentropy |","| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |\n| MT+LSTM | TranslatedALL | 0.541 |\n| Parameter-sharingLSTM | ALL | 0.542 |\n| Average | – | 0.581 |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["| Modeltype | Objectivefunction |\n| --- | --- |\n| LSTM | Crossentropy |\n|  |  |\n| BLSTM+LSTM<br>LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM+HRED | Adversarial<br>Crossentropy<br>Adversarial+CosineSimilarity<br>Adversarial<br>Crossentropy |","| LSTM<br>2LDTM+attention<br>2LSTM+attention<br>GWGM+attention<br>SEARG | Crossentropy<br>Crossentropyondiversiﬁeddata<br>+<br>Crossentropy(tunedwithtrialdata)<br>Crossentropy<br>Crossentropy |\n| --- | --- |\n| LSTM | Crossentropy |\n| LSTM<br>LSTM<br>LSTM<br>LSTM<br>LSTM | MMImaxdiv<br>MMImaxBLEU(tunedwithMERT)<br>MMImixed(maxdiv+maxBLEU)<br>MMIuniform<br>Crossentropy |\n|  |  |",1]
["| Modeltype | Objectivefunction |\n| --- | --- |\n| LSTM | Crossentropy |\n|  |  |\n| BLSTM+LSTM<br>LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM<br>BLSTM+LSTM+HRED | Adversarial<br>Crossentropy<br>Adversarial+CosineSimilarity<br>Adversarial<br>Crossentropy |","| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| --- | --- | --- |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["| English-German |\n| --- |\n| 32.58 |","| 33.86 |\n| --- |\n| 34.56 |\n| 34.58 |",1]
["| English-German |\n| --- |\n| 32.58 |","| Science |  |  |  |\n| --- | --- | --- | --- |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.14 | 0.19 | 0.67 |\n| German | 0.65 | 0.16 | 0.19 |\n| Italian | 0.53 | 0.25 | 0.22 |\n| English | 0.60 | 0.26 | 0.14 |\n| Politics |  |  |  |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.48 | 0.28 | 0.24 |\n| German | 0.34 | 0.34 | 0.31 |\n| Italian | 0.28 | 0.57 | 0.15 |\n| English | 0.37 | 0.31 | 0.32 |",0]
["| English-German |\n| --- |\n| 32.58 |","| 33.86 |\n| --- |\n| 34.56 |\n| 34.58 |",1]
["| English-German |\n| --- |\n| 32.58 |","| Italian | 0.28 | 0.57 | 0.15 |\n| --- | --- | --- | --- |\n| English | 0.37 | 0.31 | 0.32 |",0]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| SAM-ResNet | 0.770.890.580.882.381.04 |\n| SAM-VGG | 0.760.890.580.882.381.07 |","| DeepFix | 0.740.870.580.872.281.15 |\n| --- | --- |\n| MixNet | 0.660.760.580.861.921.63 |\n| iSEEL | 0.620.660.590.841.671.78 |\n| BMS | 0.610.670.590.851.671.95 |\n| eDN | 0.520.540.550.851.302.64 |\n| GBVS | 0.510.500.580.801.232.99 |",1]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| SAM-ResNet | 0.770.890.580.882.381.04 |\n| SAM-VGG | 0.760.890.580.882.381.07 |","|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| DSCLRCN | 0.680.800.720.872.352.17 |\n| SAM-ResNet | 0.680.780.700.872.342.15 |\n| SAM-VGG | 0.670.770.710.872.302.14 |\n| DeepFix | 0.670.780.710.872.262.04 |\n| SALICON | 0.600.740.740.872.122.62 |\n| PDP | 0.600.700.730.852.052.58 |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |\n| SalNet | 0.520.580.690.831.513.31 |\n| BMS | 0.510.550.650.831.413.35 |\n| Mr-CNN | 0.480.480.690.791.373.71 |\n| DeepGazeII | 0.460.520.720.881.293.98 |\n| GBVS | 0.480.480.630.811.243.51 |\n| eDN | 0.410.450.620.821.144.56 |",0]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| SAM-ResNet | 0.770.890.580.882.381.04 |\n| SAM-VGG | 0.760.890.580.882.381.07 |\n| DeepFix | 0.740.870.580.872.281.15 |\n| MixNet | 0.660.760.580.861.921.63 |","| iSEEL | 0.620.660.590.841.671.78 |\n| --- | --- |\n| BMS | 0.610.670.590.851.671.95 |\n| eDN | 0.520.540.550.851.302.64 |\n| GBVS | 0.510.500.580.801.232.99 |",1]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| SAM-ResNet | 0.770.890.580.882.381.04 |\n| SAM-VGG | 0.760.890.580.882.381.07 |\n| DeepFix | 0.740.870.580.872.281.15 |\n| MixNet | 0.660.760.580.861.921.63 |","| PDP | 0.600.700.730.852.052.58 |\n| --- | --- |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |\n| SalNet | 0.520.580.690.831.513.31 |\n| BMS | 0.510.550.650.831.413.35 |\n| Mr-CNN | 0.480.480.690.791.373.71 |\n| DeepGazeII | 0.460.520.720.881.293.98 |\n| GBVS | 0.480.480.630.811.243.51 |\n| eDN | 0.410.450.620.821.144.56 |",0]
["| M | Orig.<br>#T | #KB | #I | NetFABB<br>#T | #KB | #I | D | MeshMixer<br>#T | #KB | #I | D |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 4002 | 781 | 98 | 4564 | 890 | 296 | 0 | 32738 | 6387 | 0 | 0.43 |\n| 2 | 145 | 28 | 42 | 264 | 50 | 0 | 11.3 | 30678 | 5981 | 0 | 0.47 |","| 3 | 20 | 4 | 18 | 12 | 3 | 0 | 4.9 | 26122 | 4876 | 0 | 0.41 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 15294 | 4176 | 5060 | 21064 | 4653 | 1102 | 18.5 | 1058720 | 223453 | 0 | 0.46 |\n| 5 | 52851 | 11842 | 7914 | 59712 | 13378 | 2142 | 3.8 | 1337174 | 302297 | 0 | 0.45 |",1]
["| M | Orig.<br>#T | #KB | #I | NetFABB<br>#T | #KB | #I | D | MeshMixer<br>#T | #KB | #I | D |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 4002 | 781 | 98 | 4564 | 890 | 296 | 0 | 32738 | 6387 | 0 | 0.43 |\n| 2 | 145 | 28 | 42 | 264 | 50 | 0 | 11.3 | 30678 | 5981 | 0 | 0.47 |","|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |\n| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |\n| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["| M | Orig.<br>#T | #KB | #I | NetFABB<br>#T | #KB | #I | D | MeshMixer<br>#T | #KB | #I | D |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 4002 | 781 | 98 | 4564 | 890 | 296 | 0 | 32738 | 6387 | 0 | 0.43 |\n| 2 | 145 | 28 | 42 | 264 | 50 | 0 | 11.3 | 30678 | 5981 | 0 | 0.47 |\n| 3 | 20 | 4 | 18 | 12 | 3 | 0 | 4.9 | 26122 | 4876 | 0 | 0.41 |","| 4 | 15294 | 4176 | 5060 | 21064 | 4653 | 1102 | 18.5 | 1058720 | 223453 | 0 | 0.46 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 52851 | 11842 | 7914 | 59712 | 13378 | 2142 | 3.8 | 1337174 | 302297 | 0 | 0.45 |",1]
["| M | Orig.<br>#T | #KB | #I | NetFABB<br>#T | #KB | #I | D | MeshMixer<br>#T | #KB | #I | D |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 4002 | 781 | 98 | 4564 | 890 | 296 | 0 | 32738 | 6387 | 0 | 0.43 |\n| 2 | 145 | 28 | 42 | 264 | 50 | 0 | 11.3 | 30678 | 5981 | 0 | 0.47 |\n| 3 | 20 | 4 | 18 | 12 | 3 | 0 | 4.9 | 26122 | 4876 | 0 | 0.41 |","| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.856 | 0.949 | 0.518 | 0.834 | 0.757 | 0.725 | 0.778 |\n| 0.794 | 0.949 | 0.518 | 0.834 | 0.757 | 0.673 | 0.778 |\n| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |\n| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |","| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 |",1]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.856 | 0.949 | 0.518 | 0.834 | 0.757 | 0.725 | 0.778 |\n| 0.794 | 0.949 | 0.518 | 0.834 | 0.757 | 0.673 | 0.778 |\n| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |\n| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |","| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.871 | 0.975 | 0.536 | 0.846 | 0.814 | 0.725 | 0.784 |\n| 0.816 | 0.975 | 0.536 | 0.846 | 0.814 | 0.702 | 0.784 |\n| 0.657 | 0.234 | 0.405 | 0.307 | 0.387 | 0.567 | 0.530 |\n| 0.546 | 0.262 | 0.420 | 0.319 | 0.394 | 0.404 | 0.515 |\n| 0.871 | 0.981 | 0.899 | 0.845 | 0.880 | 0.767 | 0.807 |\n| 0.871 | 0.981 | 0.922 | 0.858 | 0.888 | 0.825 | 0.828 |",0]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.856 | 0.949 | 0.518 | 0.834 | 0.757 | 0.725 | 0.778 |","| 0.794 | 0.949 | 0.518 | 0.834 | 0.757 | 0.673 | 0.778 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |\n| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |\n| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |\n| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 |",1]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.856 | 0.949 | 0.518 | 0.834 | 0.757 | 0.725 | 0.778 |","| 0.871 | 0.981 | 0.899 | 0.845 | 0.880 | 0.767 | 0.807 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.871 | 0.981 | 0.922 | 0.858 | 0.888 | 0.825 | 0.828 |",0]
["| Decoupling(s) | Saddle-Point(s) |\n| --- | --- |\n| 0.0184 | 0.0519 |\n| 0.1301 | 0.5195 |","| 0.4659 | 2.6204 |\n| --- | --- |\n| 1.2452 | 9.0459 |\n| 4.1129 | 40.9595 |\n| 12.0575 | 149.6981 |",1]
["| Decoupling(s) | Saddle-Point(s) |\n| --- | --- |\n| 0.0184 | 0.0519 |\n| 0.1301 | 0.5195 |","| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |\n| DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 |\n| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| Decoupling(s) | Saddle-Point(s) |\n| --- | --- |\n| 0.0184 | 0.0519 |","| 0.1301 | 0.5195 |\n| --- | --- |\n| 0.4659 | 2.6204 |\n| 1.2452 | 9.0459 |\n| 4.1129 | 40.9595 |\n| 12.0575 | 149.6981 |",1]
["| Decoupling(s) | Saddle-Point(s) |\n| --- | --- |\n| 0.0184 | 0.0519 |","| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["|  | 12 | 24 | 60 | 144 | 300 | 600 | 1200 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| mincores1<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=12<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=24<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=144<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |","| mincores=300<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| --- |\n| mincores=600<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |",1]
["|  | 12 | 24 | 60 | 144 | 300 | 600 | 1200 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| mincores1<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=12<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=24<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=144<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |","|  | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |\n| --- | --- | --- | --- | --- | --- | --- |\n| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |",0]
["|  | 12 | 24 | 60 | 144 | 300 | 600 | 1200 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| mincores1<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=12<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |","| mincores=24<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| --- |\n| mincores=60<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| mincores=144<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| mincores=300<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| mincores=600<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |",1]
["|  | 12 | 24 | 60 | 144 | 300 | 600 | 1200 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| mincores1<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=12<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |","| mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| --- |\n| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |",0]
["| N | exp | s,i1 | s,i2 | s,s,i | f,i |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1 | 0.4 | 2 | 7 | 9 |","| 128 | 5 | 0.7 | 3 | 30 | 39 |\n| --- | --- | --- | --- | --- | --- |\n| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",1]
["| N | exp | s,i1 | s,i2 | s,s,i | f,i |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1 | 0.4 | 2 | 7 | 9 |","| N | Int32 | Int64 | Float | Double |\n| --- | --- | --- | --- | --- |\n| 32M | 24.1 | 12.4 | 24.5 | 12.6 |\n| 64M | 24.8 | 12.6 | 25.1 | 12.9 |\n| 128M | 25.3 | 12.7 | 25.5 | 13.0 |\n| 256M | 25.5 | 12.7 | 25.6 | 13.0 |\n| 512M | 25.5 | 12.8 | 25.7 | 13.0 |",0]
["| N | exp | s,i1 | s,i2 | s,s,i | f,i |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1 | 0.4 | 2 | 7 | 9 |\n| 128 | 5 | 0.7 | 3 | 30 | 39 |","| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| --- | --- | --- | --- | --- | --- |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",1]
["| N | exp | s,i1 | s,i2 | s,s,i | f,i |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1 | 0.4 | 2 | 7 | 9 |\n| 128 | 5 | 0.7 | 3 | 30 | 39 |","| 64M | 24.8 | 12.6 | 25.1 | 12.9 |\n| --- | --- | --- | --- | --- |\n| 128M | 25.3 | 12.7 | 25.5 | 13.0 |\n| 256M | 25.5 | 12.7 | 25.6 | 13.0 |\n| 512M | 25.5 | 12.8 | 25.7 | 13.0 |",0]
["| Category | RelationAttribute |\n| --- | --- |\n| RO | hasactiveingredient |\n| RO | hasingredient |\n| RO | hasproductcomponent |\n| RO | hastradename |\n| RO | refersto |\n| RQ | hasalias |\n| RQ | replaces |\n| SY | - |\n| SY | expandedformof |","| SY | hasexpandedform |\n| --- | --- |\n| SY | hasmultilevelcategory |\n| SY | hasprintname |\n| SY | hassinglelevelcategory |\n| SY | hastradename |\n| SY | sameas |",1]
["| Category | RelationAttribute |\n| --- | --- |\n| RO | hasactiveingredient |\n| RO | hasingredient |\n| RO | hasproductcomponent |\n| RO | hastradename |\n| RO | refersto |\n| RQ | hasalias |\n| RQ | replaces |\n| SY | - |\n| SY | expandedformof |","| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| Category | RelationAttribute |\n| --- | --- |\n| RO | hasactiveingredient |\n| RO | hasingredient |\n| RO | hasproductcomponent |\n| RO | hastradename |\n| RO | refersto |\n| RQ | hasalias |\n| RQ | replaces |\n| SY | - |\n| SY | expandedformof |\n| SY | hasexpandedform |\n| SY | hasmultilevelcategory |","| SY | hasprintname |\n| --- | --- |\n| SY | hassinglelevelcategory |\n| SY | hastradename |\n| SY | sameas |",1]
["| Category | RelationAttribute |\n| --- | --- |\n| RO | hasactiveingredient |\n| RO | hasingredient |\n| RO | hasproductcomponent |\n| RO | hastradename |\n| RO | refersto |\n| RQ | hasalias |\n| RQ | replaces |\n| SY | - |\n| SY | expandedformof |\n| SY | hasexpandedform |\n| SY | hasmultilevelcategory |","| dir | Binaryfeaturewhichistrueiﬀi<j |\n| --- | --- |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| #ofSpks/Sessions |\n| --- |\n| 2,000 |","| 2,000 |\n| --- |\n| 2,000 |\n| 2,000 |",1]
["| #ofSpks/Sessions |\n| --- |\n| 2,000 |","|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| #ofSpks/Sessions |\n| --- |\n| 2,000 |\n| 2,000 |","| 2,000 |\n| --- |\n| 2,000 |",1]
["| #ofSpks/Sessions |\n| --- |\n| 2,000 |\n| 2,000 |","| Averagenumberoftokenspertweet | 15.391 |\n| --- | --- |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Clustersize | Conﬁg. | Nodes,vCores | Tweets | Tweetspersecond |\n| --- | --- | --- | --- | --- |\n| 3-node | a | (3,1) | 500,973 | 556.6 |\n| b | (1,8),(2,1) | 578,933 | 643.3 |  |","| 7-node | c | (7,1) | 601,879 | 668.8 |\n| --- | --- | --- | --- | --- |\n| d | (1,8),(6,1) | 666,579 | 740.6 |  |",1]
["| Clustersize | Conﬁg. | Nodes,vCores | Tweets | Tweetspersecond |\n| --- | --- | --- | --- | --- |\n| 3-node | a | (3,1) | 500,973 | 556.6 |\n| b | (1,8),(2,1) | 578,933 | 643.3 |  |","| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |\n| #Edges | 182,384 | 68,282 | 1,202,513,046 |\n| Ave.degree | 8.29 | 16.72 | 57.74 |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["| Clustersize | Conﬁg. | Nodes,vCores | Tweets | Tweetspersecond |\n| --- | --- | --- | --- | --- |\n| 3-node | a | (3,1) | 500,973 | 556.6 |\n| b | (1,8),(2,1) | 578,933 | 643.3 |  |","| 7-node | c | (7,1) | 601,879 | 668.8 |\n| --- | --- | --- | --- | --- |\n| d | (1,8),(6,1) | 666,579 | 740.6 |  |",1]
["| Clustersize | Conﬁg. | Nodes,vCores | Tweets | Tweetspersecond |\n| --- | --- | --- | --- | --- |\n| 3-node | a | (3,1) | 500,973 | 556.6 |\n| b | (1,8),(2,1) | 578,933 | 643.3 |  |","| #Edges | 182,384 | 68,282 | 1,202,513,046 |\n| --- | --- | --- | --- |\n| Ave.degree | 8.29 | 16.72 | 57.74 |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |","| SMD1 | 0.000036 | 0.000015 | 2639 | 641.39 |\n| --- | --- | --- | --- | --- |\n| SMD2 | 0.000006 | 0.000005 | 2387 | 652.39 |\n| SMD3 | 0.000064 | 0.000023 | 2390 | 617.64 |\n| SMD4 | 0.000028 | 0.000027 | 1687 | 672.60 |\n| SMD5 | 0.000004 | 0.000003 | 2966 | 681.37 |\n| SMD6 | 0.000157 | 0.000081 | 3301 | 746.07 |",1]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |","| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |\n| SMD2 | 0.000146 | 0.000169 | 3866 | 921.23 |\n| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |\n| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |\n| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |\n| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 |",0]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000036 | 0.000015 | 2639 | 641.39 |\n| SMD2 | 0.000006 | 0.000005 | 2387 | 652.39 |\n| SMD3 | 0.000064 | 0.000023 | 2390 | 617.64 |\n| SMD4 | 0.000028 | 0.000027 | 1687 | 672.60 |","| SMD5 | 0.000004 | 0.000003 | 2966 | 681.37 |\n| --- | --- | --- | --- | --- |\n| SMD6 | 0.000157 | 0.000081 | 3301 | 746.07 |",1]
["| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000036 | 0.000015 | 2639 | 641.39 |\n| SMD2 | 0.000006 | 0.000005 | 2387 | 652.39 |\n| SMD3 | 0.000064 | 0.000023 | 2390 | 617.64 |\n| SMD4 | 0.000028 | 0.000027 | 1687 | 672.60 |","| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |\n| --- | --- | --- | --- | --- |\n| SMD2 | 0.000146 | 0.000169 | 3866 | 921.23 |\n| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |\n| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |\n| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |\n| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 |",0]
["|  | ProtocolTransformation | CompositionviaSM |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Attack | Secure? | Finite? | Depth | States | Secure? | Finite? | Depth | States | SM/PT |","| NSL-DB-a0 | ? | No | 10 | 3434 | No | Yes | 16 | 1337 | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NSL-DB-a1 | No | No | 16 | 1529 | No | Yes | 13 | 259 | 0.17* |\n| NSL-DB-ﬁx-a0 | ? | No | 10 | 2650 | Yes | Yes | 19 | 1690 | - |\n| NSL-DB-ﬁx-a1 | Yes | Yes | 17 | 273 | Yes | Yes | 16 | 103 | 0.38 |\n| NSL-KD | Yes | Yes | 19 | 1486 | Yes | Yes | 16 | 652 | 0.44 |",1]
["|  | ProtocolTransformation | CompositionviaSM |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Attack | Secure? | Finite? | Depth | States | Secure? | Finite? | Depth | States | SM/PT |","| Protocol | numberofclients |\n| --- | --- |\n| 70012 | 6655 |\n| 70002 | 3013 |\n| N/A | 771 |\n| 7000 | 1153 |\n| 70013 | 88 |\n| 70010 | 78 |\n| 80001 | 71 |\n| 70011 | 68 |\n| 80000 | 24 |\n| 99999 | 4 |\n| 50400 | 2 |\n| 70014 | 2 |\n| 60000 | 1 |\n| 70003 | 1 |\n| 60002 | 1 |\n| 80002 | 1 |",0]
["|  | ProtocolTransformation | CompositionviaSM |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Attack | Secure? | Finite? | Depth | States | Secure? | Finite? | Depth | States | SM/PT |\n| NSL-DB-a0 | ? | No | 10 | 3434 | No | Yes | 16 | 1337 | - |","| NSL-DB-a1 | No | No | 16 | 1529 | No | Yes | 13 | 259 | 0.17* |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NSL-DB-ﬁx-a0 | ? | No | 10 | 2650 | Yes | Yes | 19 | 1690 | - |\n| NSL-DB-ﬁx-a1 | Yes | Yes | 17 | 273 | Yes | Yes | 16 | 103 | 0.38 |\n| NSL-KD | Yes | Yes | 19 | 1486 | Yes | Yes | 16 | 652 | 0.44 |",1]
["|  | ProtocolTransformation | CompositionviaSM |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Attack | Secure? | Finite? | Depth | States | Secure? | Finite? | Depth | States | SM/PT |\n| NSL-DB-a0 | ? | No | 10 | 3434 | No | Yes | 16 | 1337 | - |","| 7000 | 1153 |\n| --- | --- |\n| 70013 | 88 |\n| 70010 | 78 |\n| 80001 | 71 |\n| 70011 | 68 |\n| 80000 | 24 |\n| 99999 | 4 |\n| 50400 | 2 |\n| 70014 | 2 |\n| 60000 | 1 |\n| 70003 | 1 |\n| 60002 | 1 |\n| 80002 | 1 |",0]
["| Training | Metrics | FSRM | SRM | SRM-B | EFIS-SRM | SC-EFIS-SRM |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 64 | σJ | 24 | CIJ | 55 |","|  | J | 66 | σJ | 25 | CIJ | 57 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 63 | σJ | 25 | CIJ | 53 |\n|  | J | 57 | σJ | 29 | CIJ | 46 |\n|  | J | 42 | σJ | 33 | CIJ | 30 |\n|  | J | 63 | σJ | 26 | CIJ | 53 |\n|  | J | 55 | σJ | 30 | CIJ | 44 |\n|  | J | 67 | σJ | 19 | CIJ | 60 |\n|  | J | 47 | σJ | 31 | CIJ | 36 |\n|  | J | 64 | σJ | 28 | CIJ | 54 |",1]
["| Training | Metrics | FSRM | SRM | SRM-B | EFIS-SRM | SC-EFIS-SRM |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 64 | σJ | 24 | CIJ | 55 |","| Inputtype | Acc | JGM | GoogleIT | KNPTC |\n| --- | --- | --- | --- | --- |\n| CP | W-Acc | 99.86 | 99.89 | 99.83 |\n| S-Acc | 99.51 | 99.78 | 99.64 |  |\n| LAP | W-Acc | 55.06 | 90.19 | 93.11 |\n| S-Acc | 0 | 78.20 | 83.40 |  |\n| GAP | W-Acc | 17.01 | 61.78 | 62.94 |\n| S-Acc | 0 | 35.77 | 31.18 |  |\n| MP | W-Acc | 68.11 | 50.90 | 95.19 |\n| S-Acc | 47.84 | 11.58 | 88.87 |  |\n| MIX | W-Acc | 68.69 | 84.09 | 91.25 |\n| S-Acc | 44.85 | 70.58 | 83.22 |  |",0]
["| Training | Metrics | FSRM | SRM | SRM-B | EFIS-SRM | SC-EFIS-SRM |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 64 | σJ | 24 | CIJ | 55 |\n|  | J | 66 | σJ | 25 | CIJ | 57 |\n|  | J | 63 | σJ | 25 | CIJ | 53 |\n|  | J | 57 | σJ | 29 | CIJ | 46 |","|  | J | 42 | σJ | 33 | CIJ | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 63 | σJ | 26 | CIJ | 53 |\n|  | J | 55 | σJ | 30 | CIJ | 44 |\n|  | J | 67 | σJ | 19 | CIJ | 60 |\n|  | J | 47 | σJ | 31 | CIJ | 36 |\n|  | J | 64 | σJ | 28 | CIJ | 54 |",1]
["| Training | Metrics | FSRM | SRM | SRM-B | EFIS-SRM | SC-EFIS-SRM |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 64 | σJ | 24 | CIJ | 55 |\n|  | J | 66 | σJ | 25 | CIJ | 57 |\n|  | J | 63 | σJ | 25 | CIJ | 53 |\n|  | J | 57 | σJ | 29 | CIJ | 46 |","| LAP | W-Acc | 55.06 | 90.19 | 93.11 |\n| --- | --- | --- | --- | --- |\n| S-Acc | 0 | 78.20 | 83.40 |  |\n| GAP | W-Acc | 17.01 | 61.78 | 62.94 |\n| S-Acc | 0 | 35.77 | 31.18 |  |\n| MP | W-Acc | 68.11 | 50.90 | 95.19 |\n| S-Acc | 47.84 | 11.58 | 88.87 |  |\n| MIX | W-Acc | 68.69 | 84.09 | 91.25 |\n| S-Acc | 44.85 | 70.58 | 83.22 |  |",0]
["| Iu | userdomainimagestakenbyusers |\n| --- | --- |\n| Is | shopdomainimagesfrome-commercewebsites |\n| o∈Iu | anchorimageorqueryimage |\n| p∈Is | positiveimage(matchedimagetoo) |\n| q∈Is | negativeimage(unmatchedimagetoo) |\n| o(resp.o) | featureofousingtheattentionw.r.ttop(resp.q) |\n| x∈Rl | featureatlocationl,x∈{o,p,q} |\n| x∈{0,1} | tagsvector,x∈{p,q} |\n| T | totalnumberoftags |","| a∈Rl | attentionweightatlocationl |\n| --- | --- |\n| W∈R | tagembeddingmatrix |\n| v∈R | weightvectorinEquation?? |\n| U∈R | weightmatrixinEquation?? |\n| L | totalnumberoflocations,i.e.height*width |\n| g(),g()us | featurealignmentfunctioninEquation??and?? |",1]
["| Iu | userdomainimagestakenbyusers |\n| --- | --- |\n| Is | shopdomainimagesfrome-commercewebsites |\n| o∈Iu | anchorimageorqueryimage |\n| p∈Is | positiveimage(matchedimagetoo) |\n| q∈Is | negativeimage(unmatchedimagetoo) |\n| o(resp.o) | featureofousingtheattentionw.r.ttop(resp.q) |\n| x∈Rl | featureatlocationl,x∈{o,p,q} |\n| x∈{0,1} | tagsvector,x∈{p,q} |\n| T | totalnumberoftags |","| Name | Description |\n| --- | --- |\n| αR | overheadareaperkBofregister-memorypervector-unit |\n| αM | overheadareaperkBofshared-memoryperSM |\n| αL1 | L1cacheoverheadareaperSM-pair |\n| αL2 | L2cacheoverheadarea |\n| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |\n| RVU | kBofregisterﬁlespervector-unit |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |\n| Acache | totalcachediearea |\n| Aoh | totalon-chipoverheaddiearea |\n| ALSU | totalload-storeunitdiearea |\n| ASFU | totalspecial-functionunitdiearea |\n| AFDU | totalfetch-decodeunitdiearea |\n| AIcache | totalinstruction-cachediearea |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",0]
["| Iu | userdomainimagestakenbyusers |\n| --- | --- |\n| Is | shopdomainimagesfrome-commercewebsites |\n| o∈Iu | anchorimageorqueryimage |\n| p∈Is | positiveimage(matchedimagetoo) |\n| q∈Is | negativeimage(unmatchedimagetoo) |","| o(resp.o) | featureofousingtheattentionw.r.ttop(resp.q) |\n| --- | --- |\n| x∈Rl | featureatlocationl,x∈{o,p,q} |\n| x∈{0,1} | tagsvector,x∈{p,q} |\n| T | totalnumberoftags |\n| a∈Rl | attentionweightatlocationl |\n| W∈R | tagembeddingmatrix |\n| v∈R | weightvectorinEquation?? |\n| U∈R | weightmatrixinEquation?? |\n| L | totalnumberoflocations,i.e.height*width |\n| g(),g()us | featurealignmentfunctioninEquation??and?? |",1]
["| Iu | userdomainimagestakenbyusers |\n| --- | --- |\n| Is | shopdomainimagesfrome-commercewebsites |\n| o∈Iu | anchorimageorqueryimage |\n| p∈Is | positiveimage(matchedimagetoo) |\n| q∈Is | negativeimage(unmatchedimagetoo) |","| αoh | commonoverheadarea(I/O,globalroutingetc)perSM |\n| --- | --- |\n| βR | areaperregister-ﬁle-bankperkBpervector-unit |\n| βM | areapershared-memory-bankperkBperSM |\n| βL1 | L1cacheareaperkBperSM-pair |\n| βL2 | L2cacheareaperkB |\n| βVU | core-logicareawithinavector-unit |\n| nSM | totalnumberofSMontheGPUchip |\n| nV | numberofvector-unitsperSM |\n| RVU | kBofregisterﬁlespervector-unit |\n| MSM | kBofsharedmemoryperSM |\n| L1SMpair | kBofL1cacheperSM-pair |\n| L2SM | kBofL2cache |\n| Atot | totalGPUchipdiearea |\n| ASM | totalshared-memorydiearea |\n| Acache | totalcachediearea |\n| Aoh | totalon-chipoverheaddiearea |\n| ALSU | totalload-storeunitdiearea |\n| ASFU | totalspecial-functionunitdiearea |\n| AFDU | totalfetch-decodeunitdiearea |\n| AIcache | totalinstruction-cachediearea |\n| ALSUperSM | load-storeunitdieareaperSM |\n| ALSUperV | load-storeunitdieareapervector-unit |\n| AMperSM | memorydieareaperSM |\n| ASFUperV | special-functionunitdieareapervector-unit |",0]
["| Name | Example |\n| --- | --- |\n| Intervalform | [20080101131251;20080131155629] |","| Comparatorform | <20080101 |\n| --- | --- |\n| Centerwidthform | 20010115135108[10s] |\n| Widthform | [10d] |\n| Centerform | 20010101 |\n| Anyform | ?200101? |\n| Hullform | 20010101..20010131 |",1]
["| Name | Example |\n| --- | --- |\n| Intervalform | [20080101131251;20080131155629] |","| Portion | 1Annot. | 2Annot. | 3Annot. |\n| --- | --- | --- | --- |\n| 1-2400 | #08 | #01 | #04 |\n| 2401-4800 | #04 | #03 | #01 |\n| 4801-7200 | #01 | #04 | #08 |\n| 7201-9600 | #03 | #08 | #02 |\n| 9601-11185 | #06 | #05 | #03 |\n| 11186-12772 | #07 | #02 | #06 |",0]
["| Name | Example |\n| --- | --- |\n| Intervalform | [20080101131251;20080131155629] |\n| Comparatorform | <20080101 |\n| Centerwidthform | 20010115135108[10s] |\n| Widthform | [10d] |\n| Centerform | 20010101 |","| Anyform | ?200101? |\n| --- | --- |\n| Hullform | 20010101..20010131 |",1]
["| Name | Example |\n| --- | --- |\n| Intervalform | [20080101131251;20080131155629] |\n| Comparatorform | <20080101 |\n| Centerwidthform | 20010115135108[10s] |\n| Widthform | [10d] |\n| Centerform | 20010101 |","| 9601-11185 | #06 | #05 | #03 |\n| --- | --- | --- | --- |\n| 11186-12772 | #07 | #02 | #06 |",0]
["| DataSet | Measure | KM | SC | (cid:96)-Graph | SMCE | OMP-Graph | (cid:96)-Graph |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ionosphere | AC | 0.7097 | 0.7350 | 0.5128 | 0.6809 | 0.6353 | 0.7692 |\n| NMI | 0.1287 | 0.2155 | 0.1165 | 0.0871 | 0.0299 | 0.2609 |  |","| MNIST | AC | 0.5621 | 0.4922 | 0.4948 | 0.5784 | 0.5754 | 0.6590 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NMI | 0.5113 | 0.4755 | 0.5210 | 0.6332 | 0.5463 | 0.6709 |  |",1]
["| DataSet | Measure | KM | SC | (cid:96)-Graph | SMCE | OMP-Graph | (cid:96)-Graph |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ionosphere | AC | 0.7097 | 0.7350 | 0.5128 | 0.6809 | 0.6353 | 0.7692 |\n| NMI | 0.1287 | 0.2155 | 0.1165 | 0.0871 | 0.0299 | 0.2609 |  |","| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |\n| --- | --- | --- | --- | --- |\n| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |\n| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 |\n| COIL100 | 0.9070 | 0.8834 | 0.8793 | 0.8637 |\n| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |\n| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |\n| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 |",0]
["| DataSet | Measure | KM | SC | (cid:96)-Graph | SMCE | OMP-Graph | (cid:96)-Graph |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ionosphere | AC | 0.7097 | 0.7350 | 0.5128 | 0.6809 | 0.6353 | 0.7692 |\n| NMI | 0.1287 | 0.2155 | 0.1165 | 0.0871 | 0.0299 | 0.2609 |  |","| MNIST | AC | 0.5621 | 0.4922 | 0.4948 | 0.5784 | 0.5754 | 0.6590 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NMI | 0.5113 | 0.4755 | 0.5210 | 0.6332 | 0.5463 | 0.6709 |  |",1]
["| DataSet | Measure | KM | SC | (cid:96)-Graph | SMCE | OMP-Graph | (cid:96)-Graph |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ionosphere | AC | 0.7097 | 0.7350 | 0.5128 | 0.6809 | 0.6353 | 0.7692 |\n| NMI | 0.1287 | 0.2155 | 0.1165 | 0.0871 | 0.0299 | 0.2609 |  |","| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 |\n| --- | --- | --- | --- | --- |\n| COIL100 | 0.9070 | 0.8834 | 0.8793 | 0.8637 |\n| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |\n| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |\n| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 |",0]
["|  | O-NL-SDA | BP | Proposed |\n| --- | --- | --- | --- |\n| Damselﬂy | 30.85 | 26.49 | 31.56 |\n| Birds | 26.62 | 22.75 | 27.17 |\n| Rabbit | 27.24 | 22.63 | 27.89 |\n| Turtle | 34.65 | 26.31 | 35.59 |\n| Dog | 21.55 | 16.97 | 22.33 |\n| EagleRay | 26.57 | 22.65 | 27.20 |","| Boat | 33.11 | 25.48 | 33.94 |\n| --- | --- | --- | --- |\n| Monkey | 30.32 | 23.51 | 30.70 |\n| Panda | 21.00 | 17.85 | 21.53 |\n| Snake | 17.71 | 14.67 | 18.23 |\n| MeanPSNR | 26.96 | 21.93 | 27.61 |",1]
["|  | O-NL-SDA | BP | Proposed |\n| --- | --- | --- | --- |\n| Damselﬂy | 30.85 | 26.49 | 31.56 |\n| Birds | 26.62 | 22.75 | 27.17 |\n| Rabbit | 27.24 | 22.63 | 27.89 |\n| Turtle | 34.65 | 26.31 | 35.59 |\n| Dog | 21.55 | 16.97 | 22.33 |\n| EagleRay | 26.57 | 22.65 | 27.20 |","| Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |\n| --- | --- | --- | --- | --- |\n| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |\n| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |\n| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |\n| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |\n| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",0]
["|  | O-NL-SDA | BP | Proposed |\n| --- | --- | --- | --- |\n| Damselﬂy | 30.85 | 26.49 | 31.56 |\n| Birds | 26.62 | 22.75 | 27.17 |\n| Rabbit | 27.24 | 22.63 | 27.89 |\n| Turtle | 34.65 | 26.31 | 35.59 |","| Dog | 21.55 | 16.97 | 22.33 |\n| --- | --- | --- | --- |\n| EagleRay | 26.57 | 22.65 | 27.20 |\n| Boat | 33.11 | 25.48 | 33.94 |\n| Monkey | 30.32 | 23.51 | 30.70 |\n| Panda | 21.00 | 17.85 | 21.53 |\n| Snake | 17.71 | 14.67 | 18.23 |\n| MeanPSNR | 26.96 | 21.93 | 27.61 |",1]
["|  | O-NL-SDA | BP | Proposed |\n| --- | --- | --- | --- |\n| Damselﬂy | 30.85 | 26.49 | 31.56 |\n| Birds | 26.62 | 22.75 | 27.17 |\n| Rabbit | 27.24 | 22.63 | 27.89 |\n| Turtle | 34.65 | 26.31 | 35.59 |","| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| --- | --- | --- | --- | --- |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",0]
["| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |\n| Darkness | 1878 | CommercialDDoSbot |","| Ddoser | 502 | CommercialDDoSbot |\n| --- | --- | --- |\n| jkddos | 333 | ComercialDDoSbot |\n| N0ise | 431 | CommericalDDoSbot |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",1]
["| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |\n| Darkness | 1878 | CommercialDDoSbot |","| Pairs | Yahoo-Phish | Yahoo-Malware | DMOZ-Phish | DMOZ-Malware | AllGood-AllBad |\n| --- | --- | --- | --- | --- | --- |\n| #MaliciousURLs | 4,082 | 2,001 | 4,082 | 2,001 | 6,083 |\n| #LegitimateURLs | 4,143 | 4,143 | 4,012 | 4,012 | 8,155 |\n| #LexicalFeatures | 13,821 | 8,791 | 14,165 | 9,129 | 22,100 |\n| #ExternalFeatures | 18,786 | 16,665 | 9,751 | 7,548 | 24,843 |",0]
["| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |","| Darkness | 1878 | CommercialDDoSbot |\n| --- | --- | --- |\n| Ddoser | 502 | CommercialDDoSbot |\n| jkddos | 333 | ComercialDDoSbot |\n| N0ise | 431 | CommericalDDoSbot |\n| ShadyRAT | 1287 | targetedgovandcorps |\n| DNSCalc | 403 | targetedUSdefensecompanies |\n| Lurid | 399 | initiallytargetedNGOs |\n| Getkys | 953 | targetsmedicalsector |\n| ZeroAccess | 568 | Rootkit,monetizedbyclick-<br>fraud |\n| Zeus | 1975 | Banking,targetscredentials |",1]
["| Malware<br>family | # | Description |\n| --- | --- | --- |\n| Avzhan | 3458 | CommercialDDoSbot |","| #LegitimateURLs | 4,143 | 4,143 | 4,012 | 4,012 | 8,155 |\n| --- | --- | --- | --- | --- | --- |\n| #LexicalFeatures | 13,821 | 8,791 | 14,165 | 9,129 | 22,100 |\n| #ExternalFeatures | 18,786 | 16,665 | 9,751 | 7,548 | 24,843 |",0]
["| ErrorCode | Type | Description |\n| --- | --- | --- |\n| -7 | Runtime | InvalidCommand. |\n| -9 | Runtime | InvalidImageData |\n| -10 | Runtime | InvalidCategoryId/s |\n| -11 | System | Cannotdecodetheimage |\n| -12 | System | UnabletoloadImageReader |\n| -15 | System | Unexpectederror,pleasetryagain. |\n| -16 | System | Errorasreturnedbythescanningfunctionality |\n| -17 | Runtime | Invalid/EmptyimageURL |\n| -20 | Runtime | DatabaseError |\n| -21 | Runtime | EmptyImagedatafromURL |\n| -22 | System | FailedtoloadIASSLlibrary |","| -23 | System | Errorindaemonservice |\n| --- | --- | --- |\n| -25 | System | Errorbybackgroundservice. |\n| -26 | Runtime | InvalidJSON. |",1]
["| ErrorCode | Type | Description |\n| --- | --- | --- |\n| -7 | Runtime | InvalidCommand. |\n| -9 | Runtime | InvalidImageData |\n| -10 | Runtime | InvalidCategoryId/s |\n| -11 | System | Cannotdecodetheimage |\n| -12 | System | UnabletoloadImageReader |\n| -15 | System | Unexpectederror,pleasetryagain. |\n| -16 | System | Errorasreturnedbythescanningfunctionality |\n| -17 | Runtime | Invalid/EmptyimageURL |\n| -20 | Runtime | DatabaseError |\n| -21 | Runtime | EmptyImagedatafromURL |\n| -22 | System | FailedtoloadIASSLlibrary |","| ID | System-call | Group |\n| --- | --- | --- |\n| 0 | NtOpenSection | Memory |\n| 1 | ACCESSMASK | ACCESSMASK |\n| 2 | POBJECTATTRIBUTES | Object |\n| 3 | NtQueryAttributesFile | File |\n| 4 | NtRaiseHardError | Process |\n| 5 | NTSTATUS | NTSTATUS |\n| 6 | ULONG | ULONG |\n| 7 | PULONGPTR | Process |\n| 8 | HARDERRORRESPONSEOPTION | Process |",0]
["| ErrorCode | Type | Description |\n| --- | --- | --- |\n| -7 | Runtime | InvalidCommand. |\n| -9 | Runtime | InvalidImageData |\n| -10 | Runtime | InvalidCategoryId/s |\n| -11 | System | Cannotdecodetheimage |\n| -12 | System | UnabletoloadImageReader |\n| -15 | System | Unexpectederror,pleasetryagain. |\n| -16 | System | Errorasreturnedbythescanningfunctionality |\n| -17 | Runtime | Invalid/EmptyimageURL |","| -20 | Runtime | DatabaseError |\n| --- | --- | --- |\n| -21 | Runtime | EmptyImagedatafromURL |\n| -22 | System | FailedtoloadIASSLlibrary |\n| -23 | System | Errorindaemonservice |\n| -25 | System | Errorbybackgroundservice. |\n| -26 | Runtime | InvalidJSON. |",1]
["| ErrorCode | Type | Description |\n| --- | --- | --- |\n| -7 | Runtime | InvalidCommand. |\n| -9 | Runtime | InvalidImageData |\n| -10 | Runtime | InvalidCategoryId/s |\n| -11 | System | Cannotdecodetheimage |\n| -12 | System | UnabletoloadImageReader |\n| -15 | System | Unexpectederror,pleasetryagain. |\n| -16 | System | Errorasreturnedbythescanningfunctionality |\n| -17 | Runtime | Invalid/EmptyimageURL |","| 7 | PULONGPTR | Process |\n| --- | --- | --- |\n| 8 | HARDERRORRESPONSEOPTION | Process |",0]
["|  | BaseLine | KNN | GRB | RFC |\n| --- | --- | --- | --- | --- |\n| CNN1 | 93.33 | 93.46 | 93.38 | 93.40 |","| CNN2 | 93.11 | 93.15 | 93.15 | 93.16 |\n| --- | --- | --- | --- | --- |\n| CNN3 | 92.94 | 92.97 | 92.98 | 92.98 |\n| CNN4 | 93.19 | 93.25 | 93.19 | 93.21 |\n| CNNFusion | 93.99 | 94.03 | 94.00 | 93.99 |",1]
["|  | BaseLine | KNN | GRB | RFC |\n| --- | --- | --- | --- | --- |\n| CNN1 | 93.33 | 93.46 | 93.38 | 93.40 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["|  | BaseLine | KNN | GRB | RFC |\n| --- | --- | --- | --- | --- |\n| CNN1 | 93.33 | 93.46 | 93.38 | 93.40 |\n| CNN2 | 93.11 | 93.15 | 93.15 | 93.16 |","| CNN3 | 92.94 | 92.97 | 92.98 | 92.98 |\n| --- | --- | --- | --- | --- |\n| CNN4 | 93.19 | 93.25 | 93.19 | 93.21 |\n| CNNFusion | 93.99 | 94.03 | 94.00 | 93.99 |",1]
["|  | BaseLine | KNN | GRB | RFC |\n| --- | --- | --- | --- | --- |\n| CNN1 | 93.33 | 93.46 | 93.38 | 93.40 |\n| CNN2 | 93.11 | 93.15 | 93.15 | 93.16 |","| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["| row | coalitionofmemberstorebuildsecret |\n| --- | --- |\n| 1 | P,P,P,P,P,P,···,P12141516202231 |\n| 2 | P,P,P,P,P,P,P,P,P,P12141620222426242830 |\n| 3 | P,P,P,P,P,P,P,P,P121516202324272831 |\n| 4 | P,P,P,P,P1216202428 |\n| 5 | P,P,P,P,P,P,P,P,P141516222324293031 |\n| 6 | P,P,P,P,P1416222430 |","| 7 | P,P,P,P,P1516232431 |\n| --- | --- |\n| 8 | P,P1624 |\n| 9 | P,P,P,P,P,P,···,P12141516252731 |\n| 10 | P,P,P,P,P,P121416262830 |\n| 11 | P,P,P,P,P,P121516272831 |\n| 12 | P,P,P,P,P,P141516293031 |\n| 13 | P,P,···,P202231 |\n| 14 | P,P,P,P,P,P202224262830 |\n| 15 | P,P,P,P,P,P202324272831 |\n| 16 | P,···,P2131 |",1]
["| row | coalitionofmemberstorebuildsecret |\n| --- | --- |\n| 1 | P,P,P,P,P,P,···,P12141516202231 |\n| 2 | P,P,P,P,P,P,P,P,P,P12141620222426242830 |\n| 3 | P,P,P,P,P,P,P,P,P121516202324272831 |\n| 4 | P,P,P,P,P1216202428 |\n| 5 | P,P,P,P,P,P,P,P,P141516222324293031 |\n| 6 | P,P,P,P,P1416222430 |","| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| row | coalitionofmemberstorebuildsecret |\n| --- | --- |\n| 1 | P,P,P,P,P,P,···,P12141516202231 |\n| 2 | P,P,P,P,P,P,P,P,P,P12141620222426242830 |\n| 3 | P,P,P,P,P,P,P,P,P121516202324272831 |\n| 4 | P,P,P,P,P1216202428 |\n| 5 | P,P,P,P,P,P,P,P,P141516222324293031 |\n| 6 | P,P,P,P,P1416222430 |\n| 7 | P,P,P,P,P1516232431 |\n| 8 | P,P1624 |\n| 9 | P,P,P,P,P,P,···,P12141516252731 |","| 10 | P,P,P,P,P,P121416262830 |\n| --- | --- |\n| 11 | P,P,P,P,P,P121516272831 |\n| 12 | P,P,P,P,P,P141516293031 |\n| 13 | P,P,···,P202231 |\n| 14 | P,P,P,P,P,P202224262830 |\n| 15 | P,P,P,P,P,P202324272831 |\n| 16 | P,···,P2131 |",1]
["| row | coalitionofmemberstorebuildsecret |\n| --- | --- |\n| 1 | P,P,P,P,P,P,···,P12141516202231 |\n| 2 | P,P,P,P,P,P,P,P,P,P12141620222426242830 |\n| 3 | P,P,P,P,P,P,P,P,P121516202324272831 |\n| 4 | P,P,P,P,P1216202428 |\n| 5 | P,P,P,P,P,P,P,P,P141516222324293031 |\n| 6 | P,P,P,P,P1416222430 |\n| 7 | P,P,P,P,P1516232431 |\n| 8 | P,P1624 |\n| 9 | P,P,P,P,P,P,···,P12141516252731 |","| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |\n| 30 | 162 |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |\n| 30 | 166 |\n| 30 | 161 |\n| 30 | 163 |\n| 30 | 161 |\n| 30 | 151 |\n| 30 | 162 |\n| 30 | 154 |\n| 30 | 151 |","| 30 | 157 |\n| --- | --- |\n| –<br>– | –<br>– |",1]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |\n| 30 | 162 |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |\n| 30 | 166 |\n| 30 | 161 |\n| 30 | 163 |\n| 30 | 161 |\n| 30 | 151 |\n| 30 | 162 |\n| 30 | 154 |\n| 30 | 151 |","| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |\n| 30 | 162 |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |\n| 30 | 166 |\n| 30 | 161 |\n| 30 | 163 |\n| 30 | 161 |\n| 30 | 151 |\n| 30 | 162 |\n| 30 | 154 |\n| 30 | 151 |\n| 30 | 157 |\n| –<br>– | –<br>– |",0]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |\n| 30 | 162 |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |","| 30 | 166 |\n| --- | --- |\n| 30 | 161 |\n| 30 | 163 |\n| 30 | 161 |\n| 30 | 151 |\n| 30 | 162 |\n| 30 | 154 |\n| 30 | 151 |\n| 30 | 157 |\n| –<br>– | –<br>– |",1]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |\n| 30 | 162 |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |","| 30 | 151 |\n| --- | --- |\n| 30 | 157 |\n| –<br>– | –<br>– |",0]
["|  | Singlequery | Multi-query |\n| --- | --- | --- |\n|  | R1mAP | R1mAP |","| XQDA<br>SCSP<br>DNS<br>SiameseLSTM | 43.822.2<br>51.926.3<br>61.035.6<br>-- | 54.128.4<br>--<br>71.546.0<br>61.635.3 |\n| --- | --- | --- |\n| GatedS-CNN<br>CAN | 65.839.5<br>48.224.4 | 76.048.4<br>-- |\n| Ours | 83.765.5 | 89.673.8 |",1]
["|  | Singlequery | Multi-query |\n| --- | --- | --- |\n|  | R1mAP | R1mAP |","| Query | SingleQuery | MultipleQuery |  |  |\n| --- | --- | --- | --- | --- |\n| Evaluationmodels | Rank-1 | mAP | Rank-1 | mAP |\n| KISSME | 40.5 | 19 | - | - |\n| BoW | 34.4 | 14.1 | - | - |\n| XQDA | 43.8 | 22.2 | 54.1 | 28.4 |\n| WARCA | 45.2 | - | - | - |\n| S-LSTM | - | - | 61.6 | 35.3 |\n| DeepHistogramLoss | 59.5 | - | - | - |\n| Gated-SCNN | 65.9 | 39.6 | 76 | 48.5 |\n| DNS | 61 | 35.7 | 71.6 | 46 |\n| IDE(R) | 77.1 | 63.6 | - | - |\n| SSM(Fusion) | 82.2 | 68.8 | 88.2 | 76.2 |\n| CRAFT-MFA | 68.7 | 42.3 | 77.0 | 50.3 |\n| CRAFT-MFA(+LOMO) | 71.8 | 45.5 | 79.7 | 54.3 |\n| JSTLDGD | 81.6 | 56.6 | 83.1 | 68.1 |\n| JSTLDGD+ICV-ECCL | 88.4 | 69.5 | 90.6 | 77.3 |",0]
["|  | Singlequery | Multi-query |\n| --- | --- | --- |\n|  | R1mAP | R1mAP |\n| XQDA<br>SCSP<br>DNS<br>SiameseLSTM | 43.822.2<br>51.926.3<br>61.035.6<br>-- | 54.128.4<br>--<br>71.546.0<br>61.635.3 |","| GatedS-CNN<br>CAN | 65.839.5<br>48.224.4 | 76.048.4<br>-- |\n| --- | --- | --- |\n| Ours | 83.765.5 | 89.673.8 |",1]
["|  | Singlequery | Multi-query |\n| --- | --- | --- |\n|  | R1mAP | R1mAP |\n| XQDA<br>SCSP<br>DNS<br>SiameseLSTM | 43.822.2<br>51.926.3<br>61.035.6<br>-- | 54.128.4<br>--<br>71.546.0<br>61.635.3 |","| IDE(R) | 77.1 | 63.6 | - | - |\n| --- | --- | --- | --- | --- |\n| SSM(Fusion) | 82.2 | 68.8 | 88.2 | 76.2 |\n| CRAFT-MFA | 68.7 | 42.3 | 77.0 | 50.3 |\n| CRAFT-MFA(+LOMO) | 71.8 | 45.5 | 79.7 | 54.3 |\n| JSTLDGD | 81.6 | 56.6 | 83.1 | 68.1 |\n| JSTLDGD+ICV-ECCL | 88.4 | 69.5 | 90.6 | 77.3 |",0]
["| Pr.No. | Best | Median | Worst |  |  |\n| --- | --- | --- | --- | --- | --- |\n| TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE |","| SMD1 | 853319 | 1150 | 1692741 | 2639 | 2178997 | 3640 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SMD2 | 1030789 | 1459 | 1557348 | 2387 | 2232534 | 3787 |\n| SMD3 | 879785 | 1238 | 1476206 | 2390 | 1978647 | 2992 |\n| SMD4 | 581078 | 710 | 1134376 | 1687 | 1438936 | 2153 |\n| SMD5 | 1217102 | 1683 | 2021104 | 2966 | 2904080 | 3772 |\n| SMD6 | 1303778 | 1646 | 2463058 | 3301 | 3230143 | 4165 |",1]
["| Pr.No. | Best | Median | Worst |  |  |\n| --- | --- | --- | --- | --- | --- |\n| TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE |","| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |\n| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |\n| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |\n| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |\n| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |\n| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |\n| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |\n| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |\n| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |\n| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |\n| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |\n| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",0]
["| Pr.No. | Best | Median | Worst |  |  |\n| --- | --- | --- | --- | --- | --- |\n| TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE |","| SMD1 | 853319 | 1150 | 1692741 | 2639 | 2178997 | 3640 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SMD2 | 1030789 | 1459 | 1557348 | 2387 | 2232534 | 3787 |\n| SMD3 | 879785 | 1238 | 1476206 | 2390 | 1978647 | 2992 |\n| SMD4 | 581078 | 710 | 1134376 | 1687 | 1438936 | 2153 |\n| SMD5 | 1217102 | 1683 | 2021104 | 2966 | 2904080 | 3772 |\n| SMD6 | 1303778 | 1646 | 2463058 | 3301 | 3230143 | 4165 |",1]
["| Pr.No. | Best | Median | Worst |  |  |\n| --- | --- | --- | --- | --- | --- |\n| TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE | TotalLL<br>FE | TotalUL<br>FE |","| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |\n| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",0]
["| rock1 | rock2 |\n| --- | --- |\n| ...atthe<unk>pop,rockandjazz... | ...includinghsbc,northernrockand... |\n| ...alittlebit<unk>rock,... | ...pakistanhasa<unk>rockmusicscene... |\n| ...onlightrockand<unk>stations... | ...spokesmanforroundrock,<unk>... |","| bank1 | bank2 |\n| --- | --- |\n| ...beingabankholidayin... | ...thebankofenglandhas... |\n| ...alltheusbankrunsand... | ...withtheroyalbankofscotland... |\n| ...bygettingthebank’sinterests... | ...developmentbankofjapanandthe... |\n| page1 | page2 |\n| ...onpage<unk>ofthe... | ...wasitfrontpagenews... |\n| ...asourcetoldpagesix.... | ...himself,tonypage,theformer... |\n| ...onpage<unk>ofthe... | ...sectionsofthepagethatdiscuss... |\n| proﬁle1 | proﬁle2 |\n| ...(<unk>:quote,proﬁle,research)... | ...so<unk>theproﬁleofthecity... |\n| ...(<unk>:quote,proﬁle,research)... | ...thehighestproﬁle<unk>heldby... |\n| ...(<unk>:quote,proﬁle,research)... | ...fromhighi,eliteschools,... |\n| edition1 | edition2 |\n| ...ofthesecondeditionofwindows... | ...ofthenewyorkedition.... |\n| ...thismonth’seditionof<unk>,the... | ...ofthenewyorkedition.... |\n| ...forthcomingd.c.editionofthehit... | ...ofthenewyorkedition.... |\n| rodham1 | rodham2 |\n| ...senatorshillaryrodhamclintonand... |  |\n| ...makinghillaryrodhamclintonhis... |  |\n| ...hillaryrodhamclinton’scampaignhas... |  |",1]
["| rock1 | rock2 |\n| --- | --- |\n| ...atthe<unk>pop,rockandjazz... | ...includinghsbc,northernrockand... |\n| ...alittlebit<unk>rock,... | ...pakistanhasa<unk>rockmusicscene... |\n| ...onlightrockand<unk>stations... | ...spokesmanforroundrock,<unk>... |","| Market | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |\n| Anzhi | 2957 | 12260 |\n| AppChina | 1845 | 4154 |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |\n| FDroid | 29 | 2 |\n| Angeeks | 6 | 27 |",0]
["| rock1 | rock2 |\n| --- | --- |\n| ...atthe<unk>pop,rockandjazz... | ...includinghsbc,northernrockand... |\n| ...alittlebit<unk>rock,... | ...pakistanhasa<unk>rockmusicscene... |\n| ...onlightrockand<unk>stations... | ...spokesmanforroundrock,<unk>... |\n| bank1 | bank2 |\n| ...beingabankholidayin... | ...thebankofenglandhas... |\n| ...alltheusbankrunsand... | ...withtheroyalbankofscotland... |\n| ...bygettingthebank’sinterests... | ...developmentbankofjapanandthe... |","| page1 | page2 |\n| --- | --- |\n| ...onpage<unk>ofthe... | ...wasitfrontpagenews... |\n| ...asourcetoldpagesix.... | ...himself,tonypage,theformer... |\n| ...onpage<unk>ofthe... | ...sectionsofthepagethatdiscuss... |\n| proﬁle1 | proﬁle2 |\n| ...(<unk>:quote,proﬁle,research)... | ...so<unk>theproﬁleofthecity... |\n| ...(<unk>:quote,proﬁle,research)... | ...thehighestproﬁle<unk>heldby... |\n| ...(<unk>:quote,proﬁle,research)... | ...fromhighi,eliteschools,... |\n| edition1 | edition2 |\n| ...ofthesecondeditionofwindows... | ...ofthenewyorkedition.... |\n| ...thismonth’seditionof<unk>,the... | ...ofthenewyorkedition.... |\n| ...forthcomingd.c.editionofthehit... | ...ofthenewyorkedition.... |\n| rodham1 | rodham2 |\n| ...senatorshillaryrodhamclintonand... |  |\n| ...makinghillaryrodhamclintonhis... |  |\n| ...hillaryrodhamclinton’scampaignhas... |  |",1]
["| rock1 | rock2 |\n| --- | --- |\n| ...atthe<unk>pop,rockandjazz... | ...includinghsbc,northernrockand... |\n| ...alittlebit<unk>rock,... | ...pakistanhasa<unk>rockmusicscene... |\n| ...onlightrockand<unk>stations... | ...spokesmanforroundrock,<unk>... |\n| bank1 | bank2 |\n| ...beingabankholidayin... | ...thebankofenglandhas... |\n| ...alltheusbankrunsand... | ...withtheroyalbankofscotland... |\n| ...bygettingthebank’sinterests... | ...developmentbankofjapanandthe... |","| FDroid | 29 | 2 |\n| --- | --- | --- |\n| Angeeks | 6 | 27 |",0]
["| Emotion | Frequency |\n| --- | --- |\n| Happiness | 33 |","| Disgust | 60 |\n| --- | --- |\n| Surprise | 25 |\n| Repression | 27 |\n| Others | 102 |",1]
["| Emotion | Frequency |\n| --- | --- |\n| Happiness | 33 |","| Emotion | Frequency |\n| --- | --- |\n| Amusement | 5 |\n| Sadness | 6 |\n| Disgust | 88 |\n| Surprise | 20 |\n| Contempt | 3 |\n| Fear | 2 |\n| Repression | 40 |\n| Tense | 28 |",0]
["| Emotion | Frequency |\n| --- | --- |\n| Happiness | 33 |","| Disgust | 60 |\n| --- | --- |\n| Surprise | 25 |\n| Repression | 27 |\n| Others | 102 |",1]
["| Emotion | Frequency |\n| --- | --- |\n| Happiness | 33 |","| Repression | 40 |\n| --- | --- |\n| Tense | 28 |",0]
["| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 |","| 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 |\n| Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |",1]
["| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 |","| date | truepositives | falsepositives | falsenegatives |\n| --- | --- | --- | --- |\n| 2012-07-02 | 1 | 0 | 0 |\n| 2012-07-03 | 3 | 0 | 0 |\n| 2012-07-04 | 2 | 0 | 0 |\n| 2012-07-05 | 2 | 0 | 0 |\n| 2012-07-06 | 3 | 0 | 0 |\n| 2012-07-08 | 0 | 0 | 2 |\n| 2012-07-09 | 2 | 0 | 0 |\n| 2012-07-10 | 2 | 0 | 0 |\n| 2012-07-11 | 0 | 0 | 1 |\n| 2012-07-14 | 1 | 0 | 0 |\n| 2012-07-29 | 1 | 0 | 0 |\n| 2012-07-30 | 1 | 0 | 0 |\n| total | 18 | 0 | 3 |",0]
["| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 |\n| 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 |","| 31.05.2015 | 210 | 526 | 158 | 98 | 36 | 2 | 1030 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Total | 452 | 979 | 273 | 185 | 62 | 9 | 1960 |",1]
["| Date | 1 | 2 | 3 | 4 | 5 | 5+ | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.05.2015 | 144 | 190 | 53 | 33 | 11 | 4 | 435 |\n| 30.05.2015 | 98 | 263 | 62 | 54 | 15 | 3 | 495 |","| 2012-07-06 | 3 | 0 | 0 |\n| --- | --- | --- | --- |\n| 2012-07-08 | 0 | 0 | 2 |\n| 2012-07-09 | 2 | 0 | 0 |\n| 2012-07-10 | 2 | 0 | 0 |\n| 2012-07-11 | 0 | 0 | 1 |\n| 2012-07-14 | 1 | 0 | 0 |\n| 2012-07-29 | 1 | 0 | 0 |\n| 2012-07-30 | 1 | 0 | 0 |\n| total | 18 | 0 | 3 |",0]
["| Viewpoint | No.intotal | No.permodel |\n| --- | --- | --- |\n| F | 18431 | 10.9 |","| R | 13513 | 8.0 |\n| --- | --- | --- |\n| S | 23551 | 14.0 |\n| FS | 49301 | 29.2 |\n| RS | 31150 | 18.5 |",1]
["| Viewpoint | No.intotal | No.permodel |\n| --- | --- | --- |\n| F | 18431 | 10.9 |","| Model | Manuallyadded |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |  |  |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |  |  |  |  |\n| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["| Viewpoint | No.intotal | No.permodel |\n| --- | --- | --- |\n| F | 18431 | 10.9 |\n| R | 13513 | 8.0 |\n| S | 23551 | 14.0 |","| FS | 49301 | 29.2 |\n| --- | --- | --- |\n| RS | 31150 | 18.5 |",1]
["| Viewpoint | No.intotal | No.permodel |\n| --- | --- | --- |\n| F | 18431 | 10.9 |\n| R | 13513 | 8.0 |\n| S | 23551 | 14.0 |","| Previouslytrainedmodel | – | – | no | yes | no |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["|  | ODINDATA | SMULTRONDATA |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DE | GD | HA | MG | KO | CY | YAQ | DE | SV | DE-SV |\n| Baseline | 76.7 | 72.0 | 54.4 | 57.4 | 56.0 | 75.4 | 54.4 | 40.7 | 37.5 | 43.3 |\n| Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |","| Merge | 95.4 | 92.5 | 97.5 | 97.4 | 95.4 | 97.2 | 95.9 | 71.8 | 73.9 | 82.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Swap | 96.8 | 94.1 | 97.5 | 98.0 | 96.1 | 98.2 | 96.2 | 83.0 | 84.2 | 87.2 |",1]
["|  | ODINDATA | SMULTRONDATA |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DE | GD | HA | MG | KO | CY | YAQ | DE | SV | DE-SV |\n| Baseline | 76.7 | 72.0 | 54.4 | 57.4 | 56.0 | 75.4 | 54.4 | 40.7 | 37.5 | 43.3 |\n| Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |","|  | CRDI(-) | CKDI(-) | CADI(+) | PNA(-) | CAAI(+) | DDI(+) | EDI(+) | ACC(+) | ABC(+) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 0.65 | 0.53 | 0.61 | 0.57 | 0.74 | 0.55 | 0.40 | 0.68 | 0.70 |\n| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |\n| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |\n| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",0]
["|  | ODINDATA | SMULTRONDATA |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DE | GD | HA | MG | KO | CY | YAQ | DE | SV | DE-SV |\n| Baseline | 76.7 | 72.0 | 54.4 | 57.4 | 56.0 | 75.4 | 54.4 | 40.7 | 37.5 | 43.3 |\n| Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |","| Merge | 95.4 | 92.5 | 97.5 | 97.4 | 95.4 | 97.2 | 95.9 | 71.8 | 73.9 | 82.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Swap | 96.8 | 94.1 | 97.5 | 98.0 | 96.1 | 98.2 | 96.2 | 83.0 | 84.2 | 87.2 |",1]
["|  | ODINDATA | SMULTRONDATA |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DE | GD | HA | MG | KO | CY | YAQ | DE | SV | DE-SV |\n| Baseline | 76.7 | 72.0 | 54.4 | 57.4 | 56.0 | 75.4 | 54.4 | 40.7 | 37.5 | 43.3 |\n| Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |","| 9 | 0.55 | 0.46 | 0.57 | 0.57 | 0.68 | 0.53 | 0.27 | 0.63 | 0.68 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.40 | 0.46 | 0.53 | 0.46 | 0.57 | 0.42 | 0.17 | 0.53 | 0.61 |\n| 11 | 0.38 | 0.46 | 0.44 | 0.38 | 0.48 | 0.31 | 0.10 | 0.38 | 0.51 |\n| 12 | 0.27 | 0.34 | 0.27 | 0.27 | 0.29 | 0.23 | 0.04 | 0.31 | 0.42 |",0]
["| Methods | mAP |\n| --- | --- |\n| Fast-RCNN+SRBBS | 55.7 |\n| Fast-RCNN+SRBBS+RBB | 69.6 |","| Fast-RCNN+SRBBS+RBB+RRoI | 75.7 |\n| --- | --- |\n| RRD(Ours) | 84.3 |",1]
["| Methods | mAP |\n| --- | --- |\n| Fast-RCNN+SRBBS | 55.7 |\n| Fast-RCNN+SRBBS+RBB | 69.6 |","| Method | DS1 | DS2 |\n| --- | --- | --- |\n| HOG | 50 | 52 |\n| Fast-RCNN | 54 | 61 |\n| Faster-RCNN | 60 | 66 |\n| Yolo | 65 | 68 |",0]
["| Methods | mAP |\n| --- | --- |\n| Fast-RCNN+SRBBS | 55.7 |","| Fast-RCNN+SRBBS+RBB | 69.6 |\n| --- | --- |\n| Fast-RCNN+SRBBS+RBB+RRoI | 75.7 |\n| RRD(Ours) | 84.3 |",1]
["| Methods | mAP |\n| --- | --- |\n| Fast-RCNN+SRBBS | 55.7 |","| Faster-RCNN | 60 | 66 |\n| --- | --- | --- |\n| Yolo | 65 | 68 |",0]
["|  | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenLayer | 8Projections | 16Projections | 8Projections | 16Projections |\n| 1st(encoder) | 519.52 | 453.33 | 466.92 | 392.09 |","| 2nd(deep) | 509.70 | 463.76 | 484.57 | 415.93 |\n| --- | --- | --- | --- | --- |\n| 3rd(decoder) | 679.54 | 623.16 | 624.23 | 583.21 |",1]
["|  | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenLayer | 8Projections | 16Projections | 8Projections | 16Projections |\n| 1st(encoder) | 519.52 | 453.33 | 466.92 | 392.09 |","| Hyperparameter | NMT | SPF | Ours |\n| --- | --- | --- | --- |\n| BatchSize | 128 | 100 | 128 |\n| HiddenLayerSize | 512 | 600 | 512 |\n| EncoderLayer | 2 | 2 | 2 |\n| DecoderLayer | 2 | 1 | 2 |\n| Optimizer | ADAM | ADAM | ADAM |\n| LearningRate | 0.001 | 0.001 | 0.001 |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",0]
["|  | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenLayer | 8Projections | 16Projections | 8Projections | 16Projections |\n| 1st(encoder) | 519.52 | 453.33 | 466.92 | 392.09 |","| 2nd(deep) | 509.70 | 463.76 | 484.57 | 415.93 |\n| --- | --- | --- | --- | --- |\n| 3rd(decoder) | 679.54 | 623.16 | 624.23 | 583.21 |",1]
["|  | 32×32 | 64×64 |  |  |\n| --- | --- | --- | --- | --- |\n| HiddenLayer | 8Projections | 16Projections | 8Projections | 16Projections |\n| 1st(encoder) | 519.52 | 453.33 | 466.92 | 392.09 |","| EncoderLayer | 2 | 2 | 2 |\n| --- | --- | --- | --- |\n| DecoderLayer | 2 | 1 | 2 |\n| Optimizer | ADAM | ADAM | ADAM |\n| LearningRate | 0.001 | 0.001 | 0.001 |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",0]
["| Feature | ModelOrder | BaselineSystem | FusedSystem |\n| --- | --- | --- | --- |\n| LPCC | 2 | 80.9420 | 84.7101 |\n| 4 | 88.9855 | 91.0870 |  |\n| 8 | 93.8949 | 94.7826 |  |\n| 16 | 95.6884 | 96.2862 |  |\n| 32 | 96.5399 | 97.1014 |  |\n| 64 | 96.7391 | 97.2826 |  |","| PLPCC | 2 | 66.5761 | 72.5543 |\n| --- | --- | --- | --- |\n| 4 | 76.9203 | 81.0507 |  |\n| 8 | 85.3080 | 87.7717 |  |\n| 16 | 90.6341 | 91.9022 |  |\n| 32 | 93.5326 | 94.3116 |  |\n| 64 | 94.6920 | 95.3986 |  |\n| LFCC | 2 | 83.0072 | 85.8152 |\n| 4 | 90.3623 | 91.7935 |  |\n| 8 | 94.6196 | 95.4891 |  |\n| 16 | 96.2681 | 96.6848 |  |\n| 32 | 97.1014 | 97.3551 |  |\n| 64 | 97.2464 | 97.6268 |  |\n| MFCC | 2 | 74.3116 | 78.6051 |\n| 4 | 84.8551 | 86.9384 |  |\n| 8 | 90.6703 | 92.0290 |  |\n| 16 | 94.1667 | 94.6920 |  |\n| 32 | 95.6522 | 95.9964 |  |\n| 64 | 96.7935 | 97.1014 |  |",1]
["| Feature | ModelOrder | BaselineSystem | FusedSystem |\n| --- | --- | --- | --- |\n| LPCC | 2 | 80.9420 | 84.7101 |\n| 4 | 88.9855 | 91.0870 |  |\n| 8 | 93.8949 | 94.7826 |  |\n| 16 | 95.6884 | 96.2862 |  |\n| 32 | 96.5399 | 97.1014 |  |\n| 64 | 96.7391 | 97.2826 |  |","| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |\n| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| Feature | ModelOrder | BaselineSystem | FusedSystem |\n| --- | --- | --- | --- |\n| LPCC | 2 | 80.9420 | 84.7101 |\n| 4 | 88.9855 | 91.0870 |  |\n| 8 | 93.8949 | 94.7826 |  |\n| 16 | 95.6884 | 96.2862 |  |\n| 32 | 96.5399 | 97.1014 |  |\n| 64 | 96.7391 | 97.2826 |  |","| PLPCC | 2 | 66.5761 | 72.5543 |\n| --- | --- | --- | --- |\n| 4 | 76.9203 | 81.0507 |  |\n| 8 | 85.3080 | 87.7717 |  |\n| 16 | 90.6341 | 91.9022 |  |\n| 32 | 93.5326 | 94.3116 |  |\n| 64 | 94.6920 | 95.3986 |  |\n| LFCC | 2 | 83.0072 | 85.8152 |\n| 4 | 90.3623 | 91.7935 |  |\n| 8 | 94.6196 | 95.4891 |  |\n| 16 | 96.2681 | 96.6848 |  |\n| 32 | 97.1014 | 97.3551 |  |\n| 64 | 97.2464 | 97.6268 |  |\n| MFCC | 2 | 74.3116 | 78.6051 |\n| 4 | 84.8551 | 86.9384 |  |\n| 8 | 90.6703 | 92.0290 |  |\n| 16 | 94.1667 | 94.6920 |  |\n| 32 | 95.6522 | 95.9964 |  |\n| 64 | 96.7935 | 97.1014 |  |",1]
["| Feature | ModelOrder | BaselineSystem | FusedSystem |\n| --- | --- | --- | --- |\n| LPCC | 2 | 80.9420 | 84.7101 |\n| 4 | 88.9855 | 91.0870 |  |\n| 8 | 93.8949 | 94.7826 |  |\n| 16 | 95.6884 | 96.2862 |  |\n| 32 | 96.5399 | 97.1014 |  |\n| 64 | 96.7391 | 97.2826 |  |","| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |","| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| --- | --- | --- | --- |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",1]
["| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |","| Processingstep | Hardware | DNN | ResNet-CNN | BLSTM | LACE |\n| --- | --- | --- | --- | --- | --- |\n| AMtraining | GPU | 0.012 | 0.60 | 0.022 | 0.23 |\n| AMevaluation | GPU | 0.0064 | 0.15 | 0.0081 | 0.081 |\n| AMevaluation | CPU | 0.052 | 11.7 | n/a | 8.47 |\n| Decoding | GPU | 1.04 | 1.19 | 1.40 | 1.38 |",0]
["| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |\n| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |","| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| --- | --- | --- | --- |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",1]
["| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |\n| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |","| AMevaluation | CPU | 0.052 | 11.7 | n/a | 8.47 |\n| --- | --- | --- | --- | --- | --- |\n| Decoding | GPU | 1.04 | 1.19 | 1.40 | 1.38 |",0]
["| Datasets | #StudiesReviewed | ReviewCost | #MissingRelevant |\n| --- | --- | --- | --- |\n| Wahono | 7002−670=6332 | ≥6332C+4CAD | 4 |","| Hall | 8991−350=8641 | ≥8641C+6CAD | 6 |\n| --- | --- | --- | --- |\n| Radjenovi´c | 6000−680=5320 | ≥5320C+3CAD | 3 |\n| Kitchenham | 1704−630=1074 | 32C+1074CDA | 3 |",1]
["| Datasets | #StudiesReviewed | ReviewCost | #MissingRelevant |\n| --- | --- | --- | --- |\n| Wahono | 7002−670=6332 | ≥6332C+4CAD | 4 |","| Dataset | c(EXIF,mm)err |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Rother | Jiang | Arie | VisualSFM | 1DSfM | L2 | L1 |  |\n| fountain-P11 | 23.3 | 14.0 | 22.6 | 20.7 | 32.2 | 6.9 | 7.0 |\n| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["| Datasets | #StudiesReviewed | ReviewCost | #MissingRelevant |\n| --- | --- | --- | --- |\n| Wahono | 7002−670=6332 | ≥6332C+4CAD | 4 |\n| Hall | 8991−350=8641 | ≥8641C+6CAD | 6 |","| Radjenovi´c | 6000−680=5320 | ≥5320C+3CAD | 3 |\n| --- | --- | --- | --- |\n| Kitchenham | 1704−630=1074 | 32C+1074CDA | 3 |",1]
["| Datasets | #StudiesReviewed | ReviewCost | #MissingRelevant |\n| --- | --- | --- | --- |\n| Wahono | 7002−670=6332 | ≥6332C+4CAD | 4 |\n| Hall | 8991−350=8641 | ≥8641C+6CAD | 6 |","| Herz-Jesu-P25 | 49.5 | 64.0 | 47.9 | 45.3 | 64.9 | 25.5 | 26.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| castle-P30 | 2651.8 | 235.0 | - | 190.1 | - | 317.3 | 166.7 |",0]
["| fi | f(0)i | f(1)i | f(1)−f(0)ii | i<br>(cid:80)<br>f(1)−f(0)jj<br>j=1 |\n| --- | --- | --- | --- | --- |\n| f1 | 3 | 5 | 2 | 2 |\n| f2 | 7 | 10 | 3 | 5 |","| f3 | 1 | 8 | 7 | 12 |\n| --- | --- | --- | --- | --- |\n| f4 | 4 | 18 | 14 | 26 |",1]
["| fi | f(0)i | f(1)i | f(1)−f(0)ii | i<br>(cid:80)<br>f(1)−f(0)jj<br>j=1 |\n| --- | --- | --- | --- | --- |\n| f1 | 3 | 5 | 2 | 2 |\n| f2 | 7 | 10 | 3 | 5 |","| k | 1 | 2 | 3 | 4 | 5 | odd | even |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| d<br>Lowerboundonχ(F) | 4 | 13 | 29 | 55 | 92 | 5519332<br>d+d+d+<br>124124 | 551132<br>d+d+d+1<br>1246 |\n| d<br>Upperboundonχ(F) | 4 | 13 | 30 | 65 | 108 | 2<br>(d+1)(cid:100)(d+1)/2(cid:101) |  |\n| d<br>Valueofχ(F)0,1 | 4 | 9 | 16 | 25 | 36 | 2<br>(d+1) |  |\n| d<br>Lowerboundonχ(F)0,2 | 4 | 13 | 24 | 34 | 52 | 2<br>3(cid:100)(d+1)/2(cid:101)−2 |  |\n| d<br>Upperboundonχ(F)0,2 | 4 | 13 | 24 | 36 | 54 | 2<br>3(cid:100)(d+1)/2(cid:101) |  |",0]
["| fi | f(0)i | f(1)i | f(1)−f(0)ii | i<br>(cid:80)<br>f(1)−f(0)jj<br>j=1 |\n| --- | --- | --- | --- | --- |\n| f1 | 3 | 5 | 2 | 2 |\n| f2 | 7 | 10 | 3 | 5 |","| f3 | 1 | 8 | 7 | 12 |\n| --- | --- | --- | --- | --- |\n| f4 | 4 | 18 | 14 | 26 |",1]
["| fi | f(0)i | f(1)i | f(1)−f(0)ii | i<br>(cid:80)<br>f(1)−f(0)jj<br>j=1 |\n| --- | --- | --- | --- | --- |\n| f1 | 3 | 5 | 2 | 2 |\n| f2 | 7 | 10 | 3 | 5 |","| d<br>Valueofχ(F)0,1 | 4 | 9 | 16 | 25 | 36 | 2<br>(d+1) |\n| --- | --- | --- | --- | --- | --- | --- |\n| d<br>Lowerboundonχ(F)0,2 | 4 | 13 | 24 | 34 | 52 | 2<br>3(cid:100)(d+1)/2(cid:101)−2 |\n| d<br>Upperboundonχ(F)0,2 | 4 | 13 | 24 | 36 | 54 | 2<br>3(cid:100)(d+1)/2(cid:101) |",0]
["|  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| state | .407 | .296 | .672 | .461 | .286 | .269 | .238 | .355 | .268 |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| state | .407 | .296 | .672 | .461 | .286 | .269 | .238 | .355 | .268 |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| appear | .122 | .076 | .077 | .072 | .182 | .112 | .037 |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| state | .407 | .296 | .672 | .461 | .286 | .269 | .238 | .355 | .268 |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| state | .407 | .296 | .672 | .461 | .286 | .269 | .238 | .355 | .268 |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |",0]
["|  |  | Method | Accuracy | FakeImages |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Precision | Recall | F1 |  |  |  |  |\n| Low-levelFeature | (1) | Text-based | 0.672 | 0.682 | 0.649 | 0.665 |\n| (2) | BoVW | 0.685 | 0.685 | 0.691 | 0.689 |  |\n| DataTransfer | (3) | proposedauxiliaryset | 0.66 | 0.664 | 0.653 | 0.658 |\n| FeatureTransfer | (4) | ImageNetset | 0.719 | 0.73 | 0.699 | 0.714 |\n| (5) | proposedauxiliaryset | 0.741 | 0.747 | 0.733 | 0.74 |  |\n| ModelTransfer | (6) | ImageNetset | 0.745 | 0.758 | 0.723 | 0.74 |","| (7) | proposedauxiliaryset | 0.755 | 0.771 | 0.728 | 0.749 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IterativeTransfer | (8) | iterativetransferlearning | 0.771 | 0.785 | 0.75 | 0.767 |",1]
["|  |  | Method | Accuracy | FakeImages |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Precision | Recall | F1 |  |  |  |  |\n| Low-levelFeature | (1) | Text-based | 0.672 | 0.682 | 0.649 | 0.665 |\n| (2) | BoVW | 0.685 | 0.685 | 0.691 | 0.689 |  |\n| DataTransfer | (3) | proposedauxiliaryset | 0.66 | 0.664 | 0.653 | 0.658 |\n| FeatureTransfer | (4) | ImageNetset | 0.719 | 0.73 | 0.699 | 0.714 |\n| (5) | proposedauxiliaryset | 0.741 | 0.747 | 0.733 | 0.74 |  |\n| ModelTransfer | (6) | ImageNetset | 0.745 | 0.758 | 0.723 | 0.74 |","| Accuracy | Features |\n| --- | --- |\n| 0.823 | 41 |\n| 0.831 | 214 |\n| 0.836 | 72 |\n| 0.838 | 0 |\n| 0.842 | 0 |\n| 0.846 | 137 |",0]
["|  |  | Method | Accuracy | FakeImages |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Precision | Recall | F1 |  |  |  |  |\n| Low-levelFeature | (1) | Text-based | 0.672 | 0.682 | 0.649 | 0.665 |\n| (2) | BoVW | 0.685 | 0.685 | 0.691 | 0.689 |  |\n| DataTransfer | (3) | proposedauxiliaryset | 0.66 | 0.664 | 0.653 | 0.658 |\n| FeatureTransfer | (4) | ImageNetset | 0.719 | 0.73 | 0.699 | 0.714 |\n| (5) | proposedauxiliaryset | 0.741 | 0.747 | 0.733 | 0.74 |  |","| ModelTransfer | (6) | ImageNetset | 0.745 | 0.758 | 0.723 | 0.74 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (7) | proposedauxiliaryset | 0.755 | 0.771 | 0.728 | 0.749 |  |\n| IterativeTransfer | (8) | iterativetransferlearning | 0.771 | 0.785 | 0.75 | 0.767 |",1]
["|  |  | Method | Accuracy | FakeImages |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Precision | Recall | F1 |  |  |  |  |\n| Low-levelFeature | (1) | Text-based | 0.672 | 0.682 | 0.649 | 0.665 |\n| (2) | BoVW | 0.685 | 0.685 | 0.691 | 0.689 |  |\n| DataTransfer | (3) | proposedauxiliaryset | 0.66 | 0.664 | 0.653 | 0.658 |\n| FeatureTransfer | (4) | ImageNetset | 0.719 | 0.73 | 0.699 | 0.714 |\n| (5) | proposedauxiliaryset | 0.741 | 0.747 | 0.733 | 0.74 |  |","| 0.838 | 0 |\n| --- | --- |\n| 0.842 | 0 |\n| 0.846 | 137 |",0]
["| AdaptiveTDMAMAC | CCCMACprotocol |  |  |\n| --- | --- | --- | --- |\n| Nodes | 6-12 | Nodes | 6-12 |\n| Channel | 1 | Channels | 2 |\n| Tc | 1.0msec | ChannelBandwidth | 1Mbps |\n| Td | 1.0msec | Packetsize | 1000Bytes |\n| Ta | 0.5msec | PacketFrequency | 5ms |","| Flow1 | Node1to2(PI=20) | Flow1 | Node1to2 |\n| --- | --- | --- | --- |\n| Routingprotocol | AODV | SimulationTime | 10sec |\n| Source | CBR | Queuelength | 100 |\n| SuperframeTimePeriod | 60msec | PUActivity | None |",1]
["| AdaptiveTDMAMAC | CCCMACprotocol |  |  |\n| --- | --- | --- | --- |\n| Nodes | 6-12 | Nodes | 6-12 |\n| Channel | 1 | Channels | 2 |\n| Tc | 1.0msec | ChannelBandwidth | 1Mbps |\n| Td | 1.0msec | Packetsize | 1000Bytes |\n| Ta | 0.5msec | PacketFrequency | 5ms |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| AdaptiveTDMAMAC | CCCMACprotocol |  |  |\n| --- | --- | --- | --- |\n| Nodes | 6-12 | Nodes | 6-12 |\n| Channel | 1 | Channels | 2 |","| Tc | 1.0msec | ChannelBandwidth | 1Mbps |\n| --- | --- | --- | --- |\n| Td | 1.0msec | Packetsize | 1000Bytes |\n| Ta | 0.5msec | PacketFrequency | 5ms |\n| Flow1 | Node1to2(PI=20) | Flow1 | Node1to2 |\n| Routingprotocol | AODV | SimulationTime | 10sec |\n| Source | CBR | Queuelength | 100 |\n| SuperframeTimePeriod | 60msec | PUActivity | None |",1]
["| AdaptiveTDMAMAC | CCCMACprotocol |  |  |\n| --- | --- | --- | --- |\n| Nodes | 6-12 | Nodes | 6-12 |\n| Channel | 1 | Channels | 2 |","| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| --- | --- | --- | --- |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| Redistribution<br>conﬁguration | Communication<br>steps | Nearlysquare<br>CopySend/Recv | 1Dimensional<br>CopySend/Recv | Skewed-rectangle<br>CopySend/Recv |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| (4,6) | 3 | 3 | 9 | 4 | 8 | 3 | 9 |\n| (4,8) | 2 | 2 | 6 | 4 | 4 | 2 | 6 |\n| (6,9) | 3 | 6 | 12 | 6 | 12 | 3 | 15 |\n| (8,16) | 2 | 8 | 8 | 8 | 8 | 4 | 12 |\n| (9,12) | 4 | 6 | 30 | 9 | 27 | 3 | 33 |\n| (12,16) | 4 | 12 | 36 | 12 | 36 | 12 | 36 |\n| (16,20) | 5 | 10 | 70 | 16 | 64 | 16 | 64 |\n| (20,25) | 5 | 20 | 80 | 20 | 80 | 5 | 95 |","| (25,30) | 6 | 15 | 135 | 25 | 125 | 4 | 146 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (25,40) | 8 | 7 | 193 | 20 | 180 | 25 | 175 |\n| (30,36) | 6 | 30 | 150 | 30 | 150 | 15 | 525 |\n| (36,48) | 4 | 12 | 132 | 36 | 108 | 36 | 108 |\n| (4,20) | 10,5(skewed) | 2 | 38 | 4 | 36 | 2 | 18 |\n| (8,40) | 10,5(skewed) | 8 | 72 | 8 | 72 | 4 | 36 |\n| (8,50) | 25 | 8 | 192 | 8 | 192 | 8 | 192 |",1]
["| Redistribution<br>conﬁguration | Communication<br>steps | Nearlysquare<br>CopySend/Recv | 1Dimensional<br>CopySend/Recv | Skewed-rectangle<br>CopySend/Recv |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| (4,6) | 3 | 3 | 9 | 4 | 8 | 3 | 9 |\n| (4,8) | 2 | 2 | 6 | 4 | 4 | 2 | 6 |\n| (6,9) | 3 | 6 | 12 | 6 | 12 | 3 | 15 |\n| (8,16) | 2 | 8 | 8 | 8 | 8 | 4 | 12 |\n| (9,12) | 4 | 6 | 30 | 9 | 27 | 3 | 33 |\n| (12,16) | 4 | 12 | 36 | 12 | 36 | 12 | 36 |\n| (16,20) | 5 | 10 | 70 | 16 | 64 | 16 | 64 |\n| (20,25) | 5 | 20 | 80 | 20 | 80 | 5 | 95 |","| InputSize | Depth | Top-1 |\n| --- | --- | --- |\n| 224x224 | 16 | 28.5 |\n| 224x224<br>224x224 | 22<br>22 | 27.8<br>25.2 |\n| 224x224<br>224x224 | 50<br>152 | 24.7<br>23.0 |\n| 224x224<br>224x224 | 50<br>101 | 23.6<br>20.4 |\n| 224x224<br>224x224 | 38<br>38 | 24.3<br>22.6 |",0]
["| Redistribution<br>conﬁguration | Communication<br>steps | Nearlysquare<br>CopySend/Recv | 1Dimensional<br>CopySend/Recv | Skewed-rectangle<br>CopySend/Recv |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| (4,6) | 3 | 3 | 9 | 4 | 8 | 3 | 9 |\n| (4,8) | 2 | 2 | 6 | 4 | 4 | 2 | 6 |\n| (6,9) | 3 | 6 | 12 | 6 | 12 | 3 | 15 |","| (8,16) | 2 | 8 | 8 | 8 | 8 | 4 | 12 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (9,12) | 4 | 6 | 30 | 9 | 27 | 3 | 33 |\n| (12,16) | 4 | 12 | 36 | 12 | 36 | 12 | 36 |\n| (16,20) | 5 | 10 | 70 | 16 | 64 | 16 | 64 |\n| (20,25) | 5 | 20 | 80 | 20 | 80 | 5 | 95 |\n| (25,30) | 6 | 15 | 135 | 25 | 125 | 4 | 146 |\n| (25,40) | 8 | 7 | 193 | 20 | 180 | 25 | 175 |\n| (30,36) | 6 | 30 | 150 | 30 | 150 | 15 | 525 |\n| (36,48) | 4 | 12 | 132 | 36 | 108 | 36 | 108 |\n| (4,20) | 10,5(skewed) | 2 | 38 | 4 | 36 | 2 | 18 |\n| (8,40) | 10,5(skewed) | 8 | 72 | 8 | 72 | 4 | 36 |\n| (8,50) | 25 | 8 | 192 | 8 | 192 | 8 | 192 |",1]
["| Redistribution<br>conﬁguration | Communication<br>steps | Nearlysquare<br>CopySend/Recv | 1Dimensional<br>CopySend/Recv | Skewed-rectangle<br>CopySend/Recv |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| (4,6) | 3 | 3 | 9 | 4 | 8 | 3 | 9 |\n| (4,8) | 2 | 2 | 6 | 4 | 4 | 2 | 6 |\n| (6,9) | 3 | 6 | 12 | 6 | 12 | 3 | 15 |","| 224x224<br>224x224 | 50<br>152 | 24.7<br>23.0 |\n| --- | --- | --- |\n| 224x224<br>224x224 | 50<br>101 | 23.6<br>20.4 |\n| 224x224<br>224x224 | 38<br>38 | 24.3<br>22.6 |",0]
["| i | U | L∩U | S | Selectednode | Case |\n| --- | --- | --- | --- | --- | --- |\n| 1 | {v,v,v,v,v,v}123456 | ∅ | ∅ | v2 | 3 |\n| 2 | {v,v,v,v,v,v}123456 | v2 | ∅ | v1 | 2 |\n| 3 | {v,v,v,v,v}23456 | v2 | v1 | v4 | 1 |\n| 4 | {v,v,v,v}2356 | v2 | v1 | v2 | 1 |\n| 5 | {v,v,v}356 | ∅ | v1 | v3 | 3 |","| 6 | {v,v,v}356 | v3 | v1 | v6 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | {v,v}35 | v3 | v,v16 | v3 | 1 |\n| 8 | {v}5 | ∅ | v,v16 | v5 | 1 |",1]
["| i | U | L∩U | S | Selectednode | Case |\n| --- | --- | --- | --- | --- | --- |\n| 1 | {v,v,v,v,v,v}123456 | ∅ | ∅ | v2 | 3 |\n| 2 | {v,v,v,v,v,v}123456 | v2 | ∅ | v1 | 2 |\n| 3 | {v,v,v,v,v}23456 | v2 | v1 | v4 | 1 |\n| 4 | {v,v,v,v}2356 | v2 | v1 | v2 | 1 |\n| 5 | {v,v,v}356 | ∅ | v1 | v3 | 3 |","| Step | V | V1 | C | V2 |\n| --- | --- | --- | --- | --- |\n| Initial | v,v,v,v,v,v,v3456789 | v1 | ∅ | v2 |\n| Checkv3 | v,v,v,v,v,v456789 | v,v13 | ∅ | v2 |\n| Checkv4 | v,v,v,v,v56789 | v,v13 | v4 | v2 |\n| Checkv5 | v,v,v,v6789 | v,v13 | v4 | v,v25 |\n| Checkv6 | v,v,v789 | v,v,v136 | v4 | v,v25 |\n| Checkv7 | v,v89 | v,v,v136 | v,v47 | v,v25 |\n| Checkv8 | v9 | v,v,v136 | v,v,v478 | v,v25 |\n| Checkv9 | ∅ | v,v,v136 | v,v,v478 | v,v,v259 |",0]
["| i | U | L∩U | S | Selectednode | Case |\n| --- | --- | --- | --- | --- | --- |\n| 1 | {v,v,v,v,v,v}123456 | ∅ | ∅ | v2 | 3 |\n| 2 | {v,v,v,v,v,v}123456 | v2 | ∅ | v1 | 2 |\n| 3 | {v,v,v,v,v}23456 | v2 | v1 | v4 | 1 |\n| 4 | {v,v,v,v}2356 | v2 | v1 | v2 | 1 |\n| 5 | {v,v,v}356 | ∅ | v1 | v3 | 3 |\n| 6 | {v,v,v}356 | v3 | v1 | v6 | 2 |","| 7 | {v,v}35 | v3 | v,v16 | v3 | 1 |\n| --- | --- | --- | --- | --- | --- |\n| 8 | {v}5 | ∅ | v,v16 | v5 | 1 |",1]
["| i | U | L∩U | S | Selectednode | Case |\n| --- | --- | --- | --- | --- | --- |\n| 1 | {v,v,v,v,v,v}123456 | ∅ | ∅ | v2 | 3 |\n| 2 | {v,v,v,v,v,v}123456 | v2 | ∅ | v1 | 2 |\n| 3 | {v,v,v,v,v}23456 | v2 | v1 | v4 | 1 |\n| 4 | {v,v,v,v}2356 | v2 | v1 | v2 | 1 |\n| 5 | {v,v,v}356 | ∅ | v1 | v3 | 3 |\n| 6 | {v,v,v}356 | v3 | v1 | v6 | 2 |","| Checkv5 | v,v,v,v6789 | v,v13 | v4 | v,v25 |\n| --- | --- | --- | --- | --- |\n| Checkv6 | v,v,v789 | v,v,v136 | v4 | v,v25 |\n| Checkv7 | v,v89 | v,v,v136 | v,v47 | v,v25 |\n| Checkv8 | v9 | v,v,v136 | v,v,v478 | v,v25 |\n| Checkv9 | ∅ | v,v,v136 | v,v,v478 | v,v,v259 |",0]
["| Model | Manuallyadded |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |","| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",1]
["| Model | Manuallyadded |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |","| Model | Manuallyadded |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |  |  |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |  |  |  |  |\n| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["| Model | Manuallyadded |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |","| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",1]
["| Model | Manuallyadded |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |","| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["| CPU | Intel(R)Core(TM)i7-4790K4.00Hz |\n| --- | --- |\n| GPU | GeForceGTX1080Ti |\n| RAM | 20GB |","| Harddisk | ToshibaSSD512G |\n| --- | --- |\n| System | Ubuntu16.04 |",1]
["| CPU | Intel(R)Core(TM)i7-4790K4.00Hz |\n| --- | --- |\n| GPU | GeForceGTX1080Ti |\n| RAM | 20GB |","| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| CPU | Intel(R)Core(TM)i7-4790K4.00Hz |\n| --- | --- |\n| GPU | GeForceGTX1080Ti |","| RAM | 20GB |\n| --- | --- |\n| Harddisk | ToshibaSSD512G |\n| System | Ubuntu16.04 |",1]
["| CPU | Intel(R)Core(TM)i7-4790K4.00Hz |\n| --- | --- |\n| GPU | GeForceGTX1080Ti |","| GlobalMem(GB) | 8 | 10 |\n| --- | --- | --- |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| All | Cataract |\n| --- | --- |\n| 0.0657 | 0.0626 |\n| 0.0665 | 0.0625 |","| 0.0639 | 0.0603 |\n| --- | --- |\n| 0.0767 | 0.0761 |",1]
["| All | Cataract |\n| --- | --- |\n| 0.0657 | 0.0626 |\n| 0.0665 | 0.0625 |","|  |  |  |  |\n| --- | --- | --- | --- |\n| 0.575 | 0.496 | 0.450 | 0.421 |\n|  |  |  |  |\n|  |  |  |  |\n| 0.583 | 0.550 | 0.536 | 0.510 |\n|  |  |  |  |\n|  |  |  |  |",0]
["| All | Cataract |\n| --- | --- |\n| 0.0657 | 0.0626 |","| 0.0665 | 0.0625 |\n| --- | --- |\n| 0.0639 | 0.0603 |\n| 0.0767 | 0.0761 |",1]
["| All | Cataract |\n| --- | --- |\n| 0.0657 | 0.0626 |","|  |  |  |  |\n| --- | --- | --- | --- |\n| 0.583 | 0.550 | 0.536 | 0.510 |\n|  |  |  |  |\n|  |  |  |  |",0]
["| Accuracy | Features |\n| --- | --- |\n| 0.823 | 41 |\n| 0.831 | 214 |\n| 0.836 | 72 |","| 0.838 | 0 |\n| --- | --- |\n| 0.842 | 0 |\n| 0.846 | 137 |",1]
["| Accuracy | Features |\n| --- | --- |\n| 0.823 | 41 |\n| 0.831 | 214 |\n| 0.836 | 72 |","| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |\n| 0.6 | 1 | 0.92 | 0.75 | 0.88 |\n| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| Accuracy | Features |\n| --- | --- |\n| 0.823 | 41 |","| 0.831 | 214 |\n| --- | --- |\n| 0.836 | 72 |\n| 0.838 | 0 |\n| 0.842 | 0 |\n| 0.846 | 137 |",1]
["| Accuracy | Features |\n| --- | --- |\n| 0.823 | 41 |","| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| --- | --- | --- | --- | --- |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| Team | CPM | AUC |\n| --- | --- | --- |\n| DRSCREEN | 0.434 | 0.551 |\n| Niemeijeretal. | 0.395 | 0.469 |\n| LaTIM | 0.381 | 0.489 |\n| ISMV | 0.375 | 0.435 |","| OKmedicalII | 0.369 | 0.465 |\n| --- | --- | --- |\n| OKmedical | 0.357 | 0.430 |\n| Lazaretal. | 0.355 | 0.449 |\n| GIB | 0.322 | 0.399 |\n| Fujita | 0.310 | 0.378 |\n| IRIA | 0.264 | 0.368 |\n| Waikato | 0.206 | 0.273 |",1]
["| Team | CPM | AUC |\n| --- | --- | --- |\n| DRSCREEN | 0.434 | 0.551 |\n| Niemeijeretal. | 0.395 | 0.469 |\n| LaTIM | 0.381 | 0.489 |\n| ISMV | 0.375 | 0.435 |","| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| HKG | -41.3 | 2.1 | 0.67 | 8.7 | 0.39 | 5.1 |\n| USA | -16.1 | 2.7 | -2.0 | 4.8 | 0.11 | -0.15 |\n| CAN | -15.2 | 3.1 | -1.7 | 4.8 | 0.45 | 0.78 |\n| SIN | -8.5 | 1.6 | -0.77 | 3.4 | -0.41 | 0.24 |\n| ROC | -8.1 | 2.7 | -1.7 | 3.2 | 0.36 | -0.16 |\n| MAS | -4.5 | 3.1 | -1.5 | 2.1 | 1.2 | 3.8 |\n| VIE | -3.6 | 1.5 | -0.89 | 2.4 | -2.0 | 6.4 |\n| GER | -2.4 | 2.1 | -0.99 | 1.4 | 0.29 | -0.81 |\n| FRA | -2.4 | 2.0 | -0.85 | 1.5 | 0.70 | 0.47 |\n| THI | -2.3 | 1.8 | -0.76 | 1.7 | 0.32 | 0.12 |\n| GBR | -1.4 | 1.4 | -0.42 | 1.5 | 0.78 | 1.6 |\n| Average | -9.6 | 2.2 | -1.0 | 3.2 | 0.20 | 1.6 |",0]
["| Team | CPM | AUC |\n| --- | --- | --- |\n| DRSCREEN | 0.434 | 0.551 |\n| Niemeijeretal. | 0.395 | 0.469 |\n| LaTIM | 0.381 | 0.489 |\n| ISMV | 0.375 | 0.435 |","| OKmedicalII | 0.369 | 0.465 |\n| --- | --- | --- |\n| OKmedical | 0.357 | 0.430 |\n| Lazaretal. | 0.355 | 0.449 |\n| GIB | 0.322 | 0.399 |\n| Fujita | 0.310 | 0.378 |\n| IRIA | 0.264 | 0.368 |\n| Waikato | 0.206 | 0.273 |",1]
["| Team | CPM | AUC |\n| --- | --- | --- |\n| DRSCREEN | 0.434 | 0.551 |\n| Niemeijeretal. | 0.395 | 0.469 |\n| LaTIM | 0.381 | 0.489 |\n| ISMV | 0.375 | 0.435 |","| VIE | -3.6 | 1.5 | -0.89 | 2.4 | -2.0 | 6.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GER | -2.4 | 2.1 | -0.99 | 1.4 | 0.29 | -0.81 |\n| FRA | -2.4 | 2.0 | -0.85 | 1.5 | 0.70 | 0.47 |\n| THI | -2.3 | 1.8 | -0.76 | 1.7 | 0.32 | 0.12 |\n| GBR | -1.4 | 1.4 | -0.42 | 1.5 | 0.78 | 1.6 |\n| Average | -9.6 | 2.2 | -1.0 | 3.2 | 0.20 | 1.6 |",0]
["| Region | si | Region | Pi |\n| --- | --- | --- | --- |\n| Newcastle | -0.0116(8) | Manchester | -0.0108(3) |","| Nottingham | -0.0059(5) | Newcastle | -0.0049(7) |\n| --- | --- | --- | --- |\n| Manchester | 0.0012(4) | Norwich | -0.0023(8) |\n| Leeds | 0.0036(5) | Leeds | -0.0006(4) |\n| London | 0.0072(2) | Nottingham | -0.0006(5) |\n| Birmingham | 0.0130(5) | Bristol | 0.0014(4) |\n| Cardiﬀ | 0.0145(6) | Birmingham | 0.0038(4) |\n| Bristol | 0.0145(6) | Cardiﬀ | 0.0038(6) |\n| Norwich | 0.0180(11) | London | 0.0042(2) |",1]
["| Region | si | Region | Pi |\n| --- | --- | --- | --- |\n| Newcastle | -0.0116(8) | Manchester | -0.0108(3) |","| London | Manchester | Birmingham | Leeds |\n| --- | --- | --- | --- |\n| liverpool(613) | brexit(694) | brexit(803) | brexit(682) |\n| sleep(369) | government(612) | disabled(663) | eu(594) |\n| trending(337) | tory(572) | extremely(654) | leaving(570) |\n| ﬀ(316) | nhs(506) | inclusion(654) | nhs(539) |\n| topic(304) | eu(493) | wwfc(518) | ref(520) |\n| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |\n| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |\n| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) |\n| awards(-472) | gt(-564) | art(-692) | council(-564) |\n| greater(-818) | mufc(-606) | blues(-700) | bradford(-586) |",0]
["| Region | si | Region | Pi |\n| --- | --- | --- | --- |\n| Newcastle | -0.0116(8) | Manchester | -0.0108(3) |\n| Nottingham | -0.0059(5) | Newcastle | -0.0049(7) |\n| Manchester | 0.0012(4) | Norwich | -0.0023(8) |\n| Leeds | 0.0036(5) | Leeds | -0.0006(4) |\n| London | 0.0072(2) | Nottingham | -0.0006(5) |\n| Birmingham | 0.0130(5) | Bristol | 0.0014(4) |\n| Cardiﬀ | 0.0145(6) | Birmingham | 0.0038(4) |","| Bristol | 0.0145(6) | Cardiﬀ | 0.0038(6) |\n| --- | --- | --- | --- |\n| Norwich | 0.0180(11) | London | 0.0042(2) |",1]
["| Region | si | Region | Pi |\n| --- | --- | --- | --- |\n| Newcastle | -0.0116(8) | Manchester | -0.0108(3) |\n| Nottingham | -0.0059(5) | Newcastle | -0.0049(7) |\n| Manchester | 0.0012(4) | Norwich | -0.0023(8) |\n| Leeds | 0.0036(5) | Leeds | -0.0006(4) |\n| London | 0.0072(2) | Nottingham | -0.0006(5) |\n| Birmingham | 0.0130(5) | Bristol | 0.0014(4) |\n| Cardiﬀ | 0.0145(6) | Birmingham | 0.0038(4) |","| co(-396) | wigan(-475) | thursday(-491) | pop(-497) |\n| --- | --- | --- | --- |\n| brighton(-423) | chester(-504) | pigeonswoop(-504) | south(-504) |\n| lunch(-449) | lunch(-515) | villa(-557) | thursday(-512) |\n| awards(-472) | gt(-564) | art(-692) | council(-564) |\n| greater(-818) | mufc(-606) | blues(-700) | bradford(-586) |",0]
["| Featurecategory | datasetI | datasetII |\n| --- | --- | --- |\n| Filename | 29736 | 14861 |\n| Filepath | 788 | 315 |","| Fileextensions | 1170 | 316 |\n| --- | --- | --- |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Totalfeaturesize | 31699 | 15497 |",1]
["| Featurecategory | datasetI | datasetII |\n| --- | --- | --- |\n| Filename | 29736 | 14861 |\n| Filepath | 788 | 315 |","| FeatureType | Top100 | Top500 |\n| --- | --- | --- |\n| Extension | 27 | 79 |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Text | 68 | 416 |",0]
["| Featurecategory | datasetI | datasetII |\n| --- | --- | --- |\n| Filename | 29736 | 14861 |","| Filepath | 788 | 315 |\n| --- | --- | --- |\n| Fileextensions | 1170 | 316 |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Totalfeaturesize | 31699 | 15497 |",1]
["| Featurecategory | datasetI | datasetII |\n| --- | --- | --- |\n| Filename | 29736 | 14861 |","| Filesizerelated | 2 | 2 |\n| --- | --- | --- |\n| Timerelated | 3 | 3 |\n| Text | 68 | 416 |",0]
["| No. | Workload | InputDataSize | #RetiredInstructions(Billions) | Source |\n| --- | --- | --- | --- | --- |\n| 1 | Sort | 150GBdocuments | 4578 | Hadoopexample |\n| 2 | WordCount | 154GBdocuments | 3533 | Hadoopexample |\n| 3 | Grep | 154GBdocuments | 1499 | Hadoopexample |\n| 4 | NaiveBayes | 147GBtext | 68131 | Mahout |\n| 5 | SVM | 148GBhtmlﬁle | 2051 | ourimplementation |\n| 6 | K-means | 150GBvector | 3227 | Mahout |\n| 7 | FuzzyK-means | 150GBvector | 15470 | Mahout |\n| 8 | IBCF | 147GBratingsdata | 32340 | Mahout |","| 9 | HMM | 147GBhtmlﬁle | 1841 | ourimplementation |\n| --- | --- | --- | --- | --- |\n| 10 | PageRank | 187GBwebpage | 18470 | Mahout |\n| 11 | Hive-bench | 156GBDBtable | 3659 | Hivebench |",1]
["| No. | Workload | InputDataSize | #RetiredInstructions(Billions) | Source |\n| --- | --- | --- | --- | --- |\n| 1 | Sort | 150GBdocuments | 4578 | Hadoopexample |\n| 2 | WordCount | 154GBdocuments | 3533 | Hadoopexample |\n| 3 | Grep | 154GBdocuments | 1499 | Hadoopexample |\n| 4 | NaiveBayes | 147GBtext | 68131 | Mahout |\n| 5 | SVM | 148GBhtmlﬁle | 2051 | ourimplementation |\n| 6 | K-means | 150GBvector | 3227 | Mahout |\n| 7 | FuzzyK-means | 150GBvector | 15470 | Mahout |\n| 8 | IBCF | 147GBratingsdata | 32340 | Mahout |","| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| No. | Workload | InputDataSize | #RetiredInstructions(Billions) | Source |\n| --- | --- | --- | --- | --- |\n| 1 | Sort | 150GBdocuments | 4578 | Hadoopexample |\n| 2 | WordCount | 154GBdocuments | 3533 | Hadoopexample |\n| 3 | Grep | 154GBdocuments | 1499 | Hadoopexample |\n| 4 | NaiveBayes | 147GBtext | 68131 | Mahout |\n| 5 | SVM | 148GBhtmlﬁle | 2051 | ourimplementation |\n| 6 | K-means | 150GBvector | 3227 | Mahout |","| 7 | FuzzyK-means | 150GBvector | 15470 | Mahout |\n| --- | --- | --- | --- | --- |\n| 8 | IBCF | 147GBratingsdata | 32340 | Mahout |\n| 9 | HMM | 147GBhtmlﬁle | 1841 | ourimplementation |\n| 10 | PageRank | 187GBwebpage | 18470 | Mahout |\n| 11 | Hive-bench | 156GBDBtable | 3659 | Hivebench |",1]
["| No. | Workload | InputDataSize | #RetiredInstructions(Billions) | Source |\n| --- | --- | --- | --- | --- |\n| 1 | Sort | 150GBdocuments | 4578 | Hadoopexample |\n| 2 | WordCount | 154GBdocuments | 3533 | Hadoopexample |\n| 3 | Grep | 154GBdocuments | 1499 | Hadoopexample |\n| 4 | NaiveBayes | 147GBtext | 68131 | Mahout |\n| 5 | SVM | 148GBhtmlﬁle | 2051 | ourimplementation |\n| 6 | K-means | 150GBvector | 3227 | Mahout |","| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["|  | Dist | StaﬀCost | TravelCost | CO2 | CarUse |\n| --- | --- | --- | --- | --- | --- |\n| Lon-1 | 204.64:206.93 | 841:974.67 | 82.54:85.79 | 133.83:163.75 | 0:0.25 |\n| Lon-2 | 223.3:231.02 | 870.67:1014.67 | 89.71:103.04 | 148.94:192.85 | 0.06:0.33 |\n| Lon-4 | 225.37:244.09 | 904.33:1276 | 94.63:116.74 | 158.77:194.59 | 0.04:0.33 |","| Lon-8 | 230.8:230.34 | 967.33:1376.67 | 103.5:140.1 | 159.07:240.54 | 0.04:0.35 |\n| --- | --- | --- | --- | --- | --- |\n| Lon-Rnd | 244.91:259.11 | 944:1140.33 | 99.48:107.4 | 155.17:216.53 | 0.04:0.33 |\n|  |  |  |  |  |  |\n| Blon-1 | 698.48:619.15 | 1987:2182.33 | 222.63:207.17 | 527.27:506.02 | 0.04:0.25 |\n| Blon-2 | 729.21:644.07 | 2107.67:2385.67 | 244.54:243.55 | 584.99:581.16 | 0.07:0.32 |\n| Blon-4 | 708.25:722.53 | 2183.33:2545.67 | 267.85:272.34 | 584.19:637.26 | 0.08:0.33 |\n| Blon-8 | 688.94:658.52 | 2209:2772 | 272.22:311.52 | 586.81:637.5 | 0.08:0.38 |\n| Blon-rnd | 730.3:666.29 | 2256:2717.67 | 251.31:263.1 | 580.16:602.47 | 0.09:0.36 |",1]
["|  | Dist | StaﬀCost | TravelCost | CO2 | CarUse |\n| --- | --- | --- | --- | --- | --- |\n| Lon-1 | 204.64:206.93 | 841:974.67 | 82.54:85.79 | 133.83:163.75 | 0:0.25 |\n| Lon-2 | 223.3:231.02 | 870.67:1014.67 | 89.71:103.04 | 148.94:192.85 | 0.06:0.33 |\n| Lon-4 | 225.37:244.09 | 904.33:1276 | 94.63:116.74 | 158.77:194.59 | 0.04:0.33 |","| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["|  | Dist | StaﬀCost | TravelCost | CO2 | CarUse |\n| --- | --- | --- | --- | --- | --- |\n| Lon-1 | 204.64:206.93 | 841:974.67 | 82.54:85.79 | 133.83:163.75 | 0:0.25 |\n| Lon-2 | 223.3:231.02 | 870.67:1014.67 | 89.71:103.04 | 148.94:192.85 | 0.06:0.33 |\n| Lon-4 | 225.37:244.09 | 904.33:1276 | 94.63:116.74 | 158.77:194.59 | 0.04:0.33 |\n| Lon-8 | 230.8:230.34 | 967.33:1376.67 | 103.5:140.1 | 159.07:240.54 | 0.04:0.35 |\n| Lon-Rnd | 244.91:259.11 | 944:1140.33 | 99.48:107.4 | 155.17:216.53 | 0.04:0.33 |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Blon-1 | 698.48:619.15 | 1987:2182.33 | 222.63:207.17 | 527.27:506.02 | 0.04:0.25 |\n| Blon-2 | 729.21:644.07 | 2107.67:2385.67 | 244.54:243.55 | 584.99:581.16 | 0.07:0.32 |\n| Blon-4 | 708.25:722.53 | 2183.33:2545.67 | 267.85:272.34 | 584.19:637.26 | 0.08:0.33 |\n| Blon-8 | 688.94:658.52 | 2209:2772 | 272.22:311.52 | 586.81:637.5 | 0.08:0.38 |\n| Blon-rnd | 730.3:666.29 | 2256:2717.67 | 251.31:263.1 | 580.16:602.47 | 0.09:0.36 |",1]
["|  | Dist | StaﬀCost | TravelCost | CO2 | CarUse |\n| --- | --- | --- | --- | --- | --- |\n| Lon-1 | 204.64:206.93 | 841:974.67 | 82.54:85.79 | 133.83:163.75 | 0:0.25 |\n| Lon-2 | 223.3:231.02 | 870.67:1014.67 | 89.71:103.04 | 148.94:192.85 | 0.06:0.33 |\n| Lon-4 | 225.37:244.09 | 904.33:1276 | 94.63:116.74 | 158.77:194.59 | 0.04:0.33 |\n| Lon-8 | 230.8:230.34 | 967.33:1376.67 | 103.5:140.1 | 159.07:240.54 | 0.04:0.35 |\n| Lon-Rnd | 244.91:259.11 | 944:1140.33 | 99.48:107.4 | 155.17:216.53 | 0.04:0.33 |","| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["|  | Range | Description |\n| --- | --- | --- |\n| K | [5·10,10,10,10] | Sizeofkeydomain |\n| z | [0,...,0.85,...,1.0] | Distributionskewness |\n| f | [0,...,1.0,...,2.0] | Fluctuationrate |\n| θmax | [0,...,0.08,...,1.0] | Toleranceonloadimbalance |\n| β | [1,...,1.5,...,2.0] | Migrationselectionfactor |","| r | [0,1,2,3,4,5,6,7,8] | Levelpartitiondistance |\n| --- | --- | --- |\n| w | [1,5,10,15,20] | Timeinterval |\n| ND | [1,5,10,15,20,...,40] | Numberoftaskinstances |\n| NA | [0,...,3·10,...,5·10] | Sizeoftheroutingtable |",1]
["|  | Range | Description |\n| --- | --- | --- |\n| K | [5·10,10,10,10] | Sizeofkeydomain |\n| z | [0,...,0.85,...,1.0] | Distributionskewness |\n| f | [0,...,1.0,...,2.0] | Fluctuationrate |\n| θmax | [0,...,0.08,...,1.0] | Toleranceonloadimbalance |\n| β | [1,...,1.5,...,2.0] | Migrationselectionfactor |","| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["|  | Range | Description |\n| --- | --- | --- |\n| K | [5·10,10,10,10] | Sizeofkeydomain |\n| z | [0,...,0.85,...,1.0] | Distributionskewness |","| f | [0,...,1.0,...,2.0] | Fluctuationrate |\n| --- | --- | --- |\n| θmax | [0,...,0.08,...,1.0] | Toleranceonloadimbalance |\n| β | [1,...,1.5,...,2.0] | Migrationselectionfactor |\n| r | [0,1,2,3,4,5,6,7,8] | Levelpartitiondistance |\n| w | [1,5,10,15,20] | Timeinterval |\n| ND | [1,5,10,15,20,...,40] | Numberoftaskinstances |\n| NA | [0,...,3·10,...,5·10] | Sizeoftheroutingtable |",1]
["|  | Range | Description |\n| --- | --- | --- |\n| K | [5·10,10,10,10] | Sizeofkeydomain |\n| z | [0,...,0.85,...,1.0] | Distributionskewness |","| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["| Test-Case |\n| --- |\n| CPU-Internal |\n| CPU-External |","| IO-Internal |\n| --- |\n| IO-External |\n| Memory-Internal |",1]
["| Test-Case |\n| --- |\n| CPU-Internal |\n| CPU-External |","|  | L1D | L1I | L2 | L3 |\n| --- | --- | --- | --- | --- |\n| Type | WB | WB | WB | MESICoherent |\n| Size | 32KB | 32KB | 256KB | 12MB |\n| LineSize | 64 | 64 | 64 | 64 |\n| Associative | 8 | 4 | 8 | 16 |\n| Latency | 4 | 2 | 6 | 27 |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",0]
["| Test-Case |\n| --- |\n| CPU-Internal |\n| CPU-External |","| IO-Internal |\n| --- |\n| IO-External |\n| Memory-Internal |",1]
["| Test-Case |\n| --- |\n| CPU-Internal |\n| CPU-External |","| Size | 32KB | 32KB | 256KB | 12MB |\n| --- | --- | --- | --- | --- |\n| LineSize | 64 | 64 | 64 | 64 |\n| Associative | 8 | 4 | 8 | 16 |\n| Latency | 4 | 2 | 6 | 27 |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",0]
["| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |\n| 0 | 0 | 0 | 5 | 0 |","| 5 | 23 | 26 | 0 | 3128 |\n| --- | --- | --- | --- | --- |\n| 11 | 32 | 0 | 0 | 0 |",1]
["| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |\n| 0 | 0 | 0 | 5 | 0 |","| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |\n| 615 | 245 |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |\n| 285 | 155 |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |","| 0 | 0 | 0 | 5 | 0 |\n| --- | --- | --- | --- | --- |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",1]
["| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |","| 160 | 111 |\n| --- | --- |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| CommonData |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| Key | 0.84 | 0.19 | 1.4 |\n| AccessTree | 0.18 | 0.03 | 0.63 |\n| EncryptedDistance | 0.56 | 0.41 | 0.65 |\n| DataofPIC-sfv |  |  |  |\n| EncryptedSIFT-Vec | 64 | 62.8 | 65.1 |\n| DataofPIC-wfv |  |  |  |","|  | Mean | Min | Max |\n| --- | --- | --- | --- |\n| EncryptedFreq-Vec | 580 | 578.9 | 581.2 |",1]
["| CommonData |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| Key | 0.84 | 0.19 | 1.4 |\n| AccessTree | 0.18 | 0.03 | 0.63 |\n| EncryptedDistance | 0.56 | 0.41 | 0.65 |\n| DataofPIC-sfv |  |  |  |\n| EncryptedSIFT-Vec | 64 | 62.8 | 65.1 |\n| DataofPIC-wfv |  |  |  |","| CommonOperations |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| FeatureExtract | 8.7 | 1.56 | 12.03 |\n| ParameterInit | 0.002 | 0.002 | 0.003 |\n| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |\n| TripleKeysGen | 0.002 | 0.002 | 0.003 |\n| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |\n| OperationsofPIC-sfv |  |  |  |\n| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 |\n| KeyModiﬁcation(perSIFT-Vec) | 0.052 | 0.048 | 0.063 |\n| HomomorphicEuclideanDistance | 0.031 | 0.029 | 0.033 |\n| OperationofPIC-wfv |  |  |  |\n|  | Mean | Min | Max |\n| Freq-VecGen | 0.70 | 0.005 | 3.84 |\n| EncryptOneFreq-Vec | 1.93 | 1.59 | 2.67 |\n| KeyModiﬁcation(perFreq-Vec) | 0.29 | 0.25 | 0.85 |\n| HomomorphicDotProduct | 0.20 | 0.18 | 0.33 |",0]
["| CommonData |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| Key | 0.84 | 0.19 | 1.4 |\n| AccessTree | 0.18 | 0.03 | 0.63 |\n| EncryptedDistance | 0.56 | 0.41 | 0.65 |","| DataofPIC-sfv |  |  |  |\n| --- | --- | --- | --- |\n| EncryptedSIFT-Vec | 64 | 62.8 | 65.1 |\n| DataofPIC-wfv |  |  |  |\n|  | Mean | Min | Max |\n| EncryptedFreq-Vec | 580 | 578.9 | 581.2 |",1]
["| CommonData |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| Key | 0.84 | 0.19 | 1.4 |\n| AccessTree | 0.18 | 0.03 | 0.63 |\n| EncryptedDistance | 0.56 | 0.41 | 0.65 |","| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| --- | --- | --- | --- |\n| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |\n| OperationsofPIC-sfv |  |  |  |\n| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 |\n| KeyModiﬁcation(perSIFT-Vec) | 0.052 | 0.048 | 0.063 |\n| HomomorphicEuclideanDistance | 0.031 | 0.029 | 0.033 |\n| OperationofPIC-wfv |  |  |  |\n|  | Mean | Min | Max |\n| Freq-VecGen | 0.70 | 0.005 | 3.84 |\n| EncryptOneFreq-Vec | 1.93 | 1.59 | 2.67 |\n| KeyModiﬁcation(perFreq-Vec) | 0.29 | 0.25 | 0.85 |\n| HomomorphicDotProduct | 0.20 | 0.18 | 0.33 |",0]
["| DataStructure | Quantity |\n| --- | --- |\n| WriteBuﬀer | 1 |\n| SecondaryLogBuﬀers | N |\n| VersionBuﬀers | N |\n| PooledBuﬀersforSecondaryLogs | 8∗8MB+32∗1MB+64∗0.5MB |\n| PooledRead/WriteBuﬀersforVersionLogs | 2 |\n| PooledBuﬀerforReorganization | 1 |\n| PooledBuﬀersforRecovery | 5 |\n| RangeSizesHashTable | 1 |","| RangeBuﬀersHashTable | 1 |\n| --- | --- |\n| VersionHashTableforReorganization | 1 |",1]
["| DataStructure | Quantity |\n| --- | --- |\n| WriteBuﬀer | 1 |\n| SecondaryLogBuﬀers | N |\n| VersionBuﬀers | N |\n| PooledBuﬀersforSecondaryLogs | 8∗8MB+32∗1MB+64∗0.5MB |\n| PooledRead/WriteBuﬀersforVersionLogs | 2 |\n| PooledBuﬀerforReorganization | 1 |\n| PooledBuﬀersforRecovery | 5 |\n| RangeSizesHashTable | 1 |","| Dataset | No.of<br>Pages | No.of<br>SFAs | Sizeas: |  |\n| --- | --- | --- | --- | --- |\n| SFAs | Text |  |  |  |\n| Cong.Acts(CA) | 38 | 1590 | 533MB | 90kB |\n| EnglishLit.(LT) | 32 | 1211 | 524MB | 78kB |\n| DBPapers(DB) | 16 | 627 | 359MB | 54kB |",0]
["| DataStructure | Quantity |\n| --- | --- |\n| WriteBuﬀer | 1 |\n| SecondaryLogBuﬀers | N |","| VersionBuﬀers | N |\n| --- | --- |\n| PooledBuﬀersforSecondaryLogs | 8∗8MB+32∗1MB+64∗0.5MB |\n| PooledRead/WriteBuﬀersforVersionLogs | 2 |\n| PooledBuﬀerforReorganization | 1 |\n| PooledBuﬀersforRecovery | 5 |\n| RangeSizesHashTable | 1 |\n| RangeBuﬀersHashTable | 1 |\n| VersionHashTableforReorganization | 1 |",1]
["| DataStructure | Quantity |\n| --- | --- |\n| WriteBuﬀer | 1 |\n| SecondaryLogBuﬀers | N |","| EnglishLit.(LT) | 32 | 1211 | 524MB | 78kB |\n| --- | --- | --- | --- | --- |\n| DBPapers(DB) | 16 | 627 | 359MB | 54kB |",0]
["| L2Cache<br>Technology | Area<br>2<br>(mm) | RL<br>(ns) | WL<br>(ns) | RE<br>(nJ) | WE<br>(nJ) | LP<br>(mW) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 512KB<br>SRAM | 1.410 | 1.277 | 1.277 | 0.293 | 0.293 | 1753.444 |","| 1MBeDRAM | 0.745 | 1.072 | 1.022 | 0.289 | 0.424 | 337.329 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1MBSTT-RAM | 0.526 | 1.340 | 10.218 | 0.280 | 0.654 | 212.022 |\n| 512KBLRSC | 0.243 | 1.260 | 2.153 | 0.233 | 0.269 | 104.797 |\n| 512KBHRSC | 0.357 | 1.261 | 10.153 | 0.233 | 0.601 | 114.915 |",1]
["| L2Cache<br>Technology | Area<br>2<br>(mm) | RL<br>(ns) | WL<br>(ns) | RE<br>(nJ) | WE<br>(nJ) | LP<br>(mW) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 512KB<br>SRAM | 1.410 | 1.277 | 1.277 | 0.293 | 0.293 | 1753.444 |","| AppName | min | ave | max |\n| --- | --- | --- | --- |\n| namd2 | -7<br>1.61x10 | -5<br>4.45x10 | -3<br>1.01x10 |\n| lmpstampede | 1.36x10 | 6.60x10 | 9.53x10 |\n| vaspncl | 1.43x10 | 6.56x10 | 2.86x10 |\n| cosmomc | 2.34x10 | 5.61x10 | 4.84x10 |\n| charmm | 1.42x10 | 9.32x10 | 7.34x10 |\n| nwchem | 1.01x10 | 7.06x10 | 1.80x10 |\n| fvcom | 3.36x10 | 2.17x10 | 2.27x10 |\n| mdrunmpi | 1.66x10 | 8.18x10 | 1.08x10 |\n| siesta | 1.47x10 | 9.81x10 | 5.29x10 |",0]
["| L2Cache<br>Technology | Area<br>2<br>(mm) | RL<br>(ns) | WL<br>(ns) | RE<br>(nJ) | WE<br>(nJ) | LP<br>(mW) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 512KB<br>SRAM | 1.410 | 1.277 | 1.277 | 0.293 | 0.293 | 1753.444 |\n| 1MBeDRAM | 0.745 | 1.072 | 1.022 | 0.289 | 0.424 | 337.329 |\n| 1MBSTT-RAM | 0.526 | 1.340 | 10.218 | 0.280 | 0.654 | 212.022 |","| 512KBLRSC | 0.243 | 1.260 | 2.153 | 0.233 | 0.269 | 104.797 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 512KBHRSC | 0.357 | 1.261 | 10.153 | 0.233 | 0.601 | 114.915 |",1]
["| L2Cache<br>Technology | Area<br>2<br>(mm) | RL<br>(ns) | WL<br>(ns) | RE<br>(nJ) | WE<br>(nJ) | LP<br>(mW) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 512KB<br>SRAM | 1.410 | 1.277 | 1.277 | 0.293 | 0.293 | 1753.444 |\n| 1MBeDRAM | 0.745 | 1.072 | 1.022 | 0.289 | 0.424 | 337.329 |\n| 1MBSTT-RAM | 0.526 | 1.340 | 10.218 | 0.280 | 0.654 | 212.022 |","| mdrunmpi | 1.66x10 | 8.18x10 | 1.08x10 |\n| --- | --- | --- | --- |\n| siesta | 1.47x10 | 9.81x10 | 5.29x10 |",0]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours-Imagenet | 83.5 | 54.0 | 46.8 | 34.1 | 16.8 | 54.3 | 48.3 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |","| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| P.Machines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",1]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours-Imagenet | 83.5 | 54.0 | 46.8 | 34.1 | 16.8 | 54.3 | 48.3 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |","| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |\n| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",0]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours-Imagenet | 83.5 | 54.0 | 46.8 | 34.1 | 16.8 | 54.3 | 48.3 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |","| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| P.Machines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",1]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours-Imagenet | 83.5 | 54.0 | 46.8 | 34.1 | 16.8 | 54.3 | 48.3 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |","| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |\n| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",0]
["|  | Axioms |\n| --- | --- |\n| ConditionalValueatRisk(CVaR) | A1–A6 |","| ExpectedCost | A1–A6 |\n| --- | --- |\n| Worstcase | A1–A6 |\n| Mean–Variance | A6 |\n| Entropicrisk | A1,A2,A6 |\n| ValueatRisk(VaR) | A1–A3,A5,A6 |\n| Standardsemi-deviation | A1–A4,A6 |",1]
["|  | Axioms |\n| --- | --- |\n| ConditionalValueatRisk(CVaR) | A1–A6 |","| Axon | meanvalue[mA] | standarddeviation[mA] |\n| --- | --- | --- |\n| 1 | 0.14 | 0.01 |\n| 2 | 0.56 | 0.06 |\n| 3 | 1.44 | 0.15 |\n| 4 | 2.97 | 0.31 |\n| 5 | 5.30 | 0.56 |\n| 6 | 8.65 | 0.91 |\n| 7 | 13.20 | 1.39 |\n| 8 | 19.15 | 2.02 |\n| 9 | 26.67 | 2.81 |\n| 10 | 36.06 | 3.80 |",0]
["|  | Axioms |\n| --- | --- |\n| ConditionalValueatRisk(CVaR) | A1–A6 |\n| ExpectedCost | A1–A6 |\n| Worstcase | A1–A6 |","| Mean–Variance | A6 |\n| --- | --- |\n| Entropicrisk | A1,A2,A6 |\n| ValueatRisk(VaR) | A1–A3,A5,A6 |\n| Standardsemi-deviation | A1–A4,A6 |",1]
["|  | Axioms |\n| --- | --- |\n| ConditionalValueatRisk(CVaR) | A1–A6 |\n| ExpectedCost | A1–A6 |\n| Worstcase | A1–A6 |","| 7 | 13.20 | 1.39 |\n| --- | --- | --- |\n| 8 | 19.15 | 2.02 |\n| 9 | 26.67 | 2.81 |\n| 10 | 36.06 | 3.80 |",0]
["|  | Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |","| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",1]
["|  | Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |","| Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.9037 | 0.8991 | 7.0246 | 0.8769 | 0.8755 | 5.8162 |\n| MS-SSIM | 0.8901 | 0.8681 | 21.2322 | 0.8423 | 0.7785 | 15.1681 |\n| SBIQE | 0.0006 | 0.0027 | 25.4484 | 0.0021 | 0.0051 | 12.0123 |\n| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |\n| NIQE | 0.8499 | 0.8705 | 13.4076 | 0.6835 | 0.6929 | 8.8334 |\n| STMAD | 0.7815 | 0.8000 | 10.2358 | 0.6534 | 0.6010 | 9.1614 |\n| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",0]
["|  | Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |","| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",1]
["|  | Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |","| MS-SSIM | 0.8901 | 0.8681 | 21.2322 | 0.8423 | 0.7785 | 15.1681 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SBIQE | 0.0006 | 0.0027 | 25.4484 | 0.0021 | 0.0051 | 12.0123 |\n| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |\n| NIQE | 0.8499 | 0.8705 | 13.4076 | 0.6835 | 0.6929 | 8.8334 |\n| STMAD | 0.7815 | 0.8000 | 10.2358 | 0.6534 | 0.6010 | 9.1614 |\n| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",0]
["| TestInput | OurR-DML | B-DML | Supervisiontransfer |\n| --- | --- | --- | --- |\n| Total | 34.72 | 29.13 | 21.35 |\n| RGB+depth | 40.43 | 36.31 | 26.68 |","| RGB(blank)+depth | 30.76 | 28.37 | 15.81 |\n| --- | --- | --- | --- |\n| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |\n| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |\n| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |\n| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |\n| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |",1]
["| TestInput | OurR-DML | B-DML | Supervisiontransfer |\n| --- | --- | --- | --- |\n| Total | 34.72 | 29.13 | 21.35 |\n| RGB+depth | 40.43 | 36.31 | 26.68 |","| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |\n| Denoise-sq | 0.8 | uniform | approximate |\n| Denoise-ts | 0.7 | uniform | approximate |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["| TestInput | OurR-DML | B-DML | Supervisiontransfer |\n| --- | --- | --- | --- |\n| Total | 34.72 | 29.13 | 21.35 |\n| RGB+depth | 40.43 | 36.31 | 26.68 |\n| RGB(blank)+depth | 30.76 | 28.37 | 15.81 |\n| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |\n| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |\n| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |","| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |\n| --- | --- | --- | --- |\n| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |",1]
["| TestInput | OurR-DML | B-DML | Supervisiontransfer |\n| --- | --- | --- | --- |\n| Total | 34.72 | 29.13 | 21.35 |\n| RGB+depth | 40.43 | 36.31 | 26.68 |\n| RGB(blank)+depth | 30.76 | 28.37 | 15.81 |\n| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |\n| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |\n| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |","| Color-seg-n4 | 0.9 | unary | exact |\n| --- | --- | --- | --- |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["| reference | Day1 | Day2 | Day3 | ··· | Day365 |\n| --- | --- | --- | --- | --- | --- |\n| T-shirt | 100 | 150 | 63 | ··· | 45 |","| Jeans | 50 | 96 | 7 | ··· | 33 |\n| --- | --- | --- | --- | --- | --- |\n| Soda | 45 | 35 | 14 | ··· | 10 |\n| Friedpotatoes | 36 | 23 | 23 | ··· | 5 |\n| Water | 85 | 75 | 78 | ··· | 20 |",1]
["| reference | Day1 | Day2 | Day3 | ··· | Day365 |\n| --- | --- | --- | --- | --- | --- |\n| T-shirt | 100 | 150 | 63 | ··· | 45 |","| reference | quantity |\n| --- | --- |\n| T-shirt | 5 |\n| Jeans | 10 |\n| Soda | 2 |\n| Friedpotatoes | 1 |\n| Water | 12 |",0]
["| reference | Day1 | Day2 | Day3 | ··· | Day365 |\n| --- | --- | --- | --- | --- | --- |\n| T-shirt | 100 | 150 | 63 | ··· | 45 |\n| Jeans | 50 | 96 | 7 | ··· | 33 |\n| Soda | 45 | 35 | 14 | ··· | 10 |","| Friedpotatoes | 36 | 23 | 23 | ··· | 5 |\n| --- | --- | --- | --- | --- | --- |\n| Water | 85 | 75 | 78 | ··· | 20 |",1]
["| reference | Day1 | Day2 | Day3 | ··· | Day365 |\n| --- | --- | --- | --- | --- | --- |\n| T-shirt | 100 | 150 | 63 | ··· | 45 |\n| Jeans | 50 | 96 | 7 | ··· | 33 |\n| Soda | 45 | 35 | 14 | ··· | 10 |","| Friedpotatoes | 1 |\n| --- | --- |\n| Water | 12 |",0]
["|  | Type | KernelSize | #OutDim. |\n| --- | --- | --- | --- |\n| 1<br>2<br>3 | Conv+ReLU<br>MaxPool1/2<br>LRN | 5×5<br>3×3<br>- | 64<br>64<br>64 |\n| 4<br>5<br>6 | Conv+ReLU<br>MaxPool1/2<br>LRN | 5×5<br>3×3<br>- | 64<br>64<br>64 |","| 7 | FullyConnected+ReLU | - | 384 |\n| --- | --- | --- | --- |\n| 8 | FullyConnected+ReLU | - | 192 |\n| 9 | FullyConnected | - | 10 |",1]
["|  | Type | KernelSize | #OutDim. |\n| --- | --- | --- | --- |\n| 1<br>2<br>3 | Conv+ReLU<br>MaxPool1/2<br>LRN | 5×5<br>3×3<br>- | 64<br>64<br>64 |\n| 4<br>5<br>6 | Conv+ReLU<br>MaxPool1/2<br>LRN | 5×5<br>3×3<br>- | 64<br>64<br>64 |","| 8 | 16 | 32 | 64 | 128 | 256 |\n| --- | --- | --- | --- | --- | --- |\n| conv(1,8)<br>conv(8,8)<br>conv(8,8) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) | conv(1,8)<br>conv(8,8)<br>conv(8,8)<br>maxpool(2) |\n|  | conv(8,16)<br>conv(16,16)<br>conv(16,16) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) | conv(8,16)<br>conv(16,16)<br>conv(16,16)<br>maxpool(2) |\n|  |  | conv(16,24)<br>conv(24,24)<br>conv(24,24) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) | conv(16,24)<br>conv(24,24)<br>conv(24,24)<br>maxpool(2) |\n|  |  |  | conv(24,32)<br>conv(32,32)<br>conv(32,32) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) | conv(24,32)<br>conv(32,32)<br>conv(32,32)<br>maxpool(2) |\n|  |  |  |  | conv(32,40)<br>conv(40,40)<br>conv(40,40) | conv(32,40)<br>conv(40,40)<br>conv(40,40)<br>maxpool(2) |\n|  |  |  |  |  | conv(40,48)<br>conv(48,48)<br>conv(48,48) |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",0]
["|  | Type | KernelSize | #OutDim. |\n| --- | --- | --- | --- |\n| 1<br>2<br>3 | Conv+ReLU<br>MaxPool1/2<br>LRN | 5×5<br>3×3<br>- | 64<br>64<br>64 |","| 4<br>5<br>6 | Conv+ReLU<br>MaxPool1/2<br>LRN | 5×5<br>3×3<br>- | 64<br>64<br>64 |\n| --- | --- | --- | --- |\n| 7 | FullyConnected+ReLU | - | 384 |\n| 8 | FullyConnected+ReLU | - | 192 |\n| 9 | FullyConnected | - | 10 |",1]
["|  | Type | KernelSize | #OutDim. |\n| --- | --- | --- | --- |\n| 1<br>2<br>3 | Conv+ReLU<br>MaxPool1/2<br>LRN | 5×5<br>3×3<br>- | 64<br>64<br>64 |","|  |  |  |  |  | conv(40,48)<br>conv(48,48)<br>conv(48,48) |\n| --- | --- | --- | --- | --- | --- |\n| Dropout(0.5) |  |  |  |  |  |\n| fully-connected(1024) |  |  |  |  |  |\n| fully-connected(4) |  |  |  |  |  |\n| Normalize |  |  |  |  |  |",0]
["| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |","| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n| --- | --- | --- | --- |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",1]
["| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |","| DenseConvEncoder | DenseConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 32×32×32 | DBE(32,6) | 4×4×256 | DBD(256,16) |\n| 16×16×64 | TBE(32,64,2) | 8×8×128 | TBD(256,128) |\n| 16×16×64 | DBE(64,12) | 8×8×128 | DBD(128,24) |\n| 8×8×128 | TBE(64,128,2) | 16×16×64 | TBD(128,64) |\n| 8×8×128 | DBE(128,24) | 16×16×64 | DBD(64,12) |\n| 4×4×256 | TBE(128,256,2) | 32×32×32 | TBD(64,32) |\n| 4×4×256 | DBE(256,16) | 32×32×32 | DBD(32,6) |\n| Nz | TBE(256,Nz,4) | 64×64×32 | TBD(32,32) |\n|  |  | 64×64×Nc | 3×3ConvT()Nc |",0]
["| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |","| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| --- | --- | --- | --- |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",1]
["| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |","| 8×8×128 | DBE(128,24) | 16×16×64 | DBD(64,12) |\n| --- | --- | --- | --- |\n| 4×4×256 | TBE(128,256,2) | 32×32×32 | TBD(64,32) |\n| 4×4×256 | DBE(256,16) | 32×32×32 | DBD(32,6) |\n| Nz | TBE(256,Nz,4) | 64×64×32 | TBD(32,32) |\n|  |  | 64×64×Nc | 3×3ConvT()Nc |",0]
["| Area | Conference | 1year | AverageNewComers | AveragePnewComers | AverageLeavers |\n| --- | --- | --- | --- | --- | --- |\n| AT | APPROX<br>ICCS<br>SOFSEM<br>TLCA<br>DLT | 1998<br>1992<br>1995<br>1993<br>1993 | 0.75<br>0.53<br>0.82<br>0.66<br>0.56 | 0.72<br>0.59<br>0.83<br>0.74<br>0.66 | 0.64<br>0.48<br>0.79<br>0.65<br>0.54 |","| DM | MLDM<br>IndCDM<br>ADMA<br>KES<br>IDEAL | 1999<br>2001<br>2005<br>1997<br>2000 | 0.85<br>0.86<br>0.85<br>0.79<br>0.81 | 0.86<br>0.84<br>0.75<br>0.75<br>0.75 | 0.75<br>0.75<br>0.87<br>0.75<br>0.81 |\n| --- | --- | --- | --- | --- | --- |\n| SEC | SCN<br>ISCISW<br>ISPEC<br>ACISP<br>WISA | 2002<br>1997<br>2005<br>1996<br>2003 | 0.75<br>0.83<br>0.65<br>0.86<br>0.84 | 0.71<br>0.75<br>0.58<br>0.76<br>0.79 | 0.74<br>0.83<br>0.84<br>0.62<br>0.87 |\n| WWW | WEBIST<br>SAINT<br>WECWIS<br>ESWC<br>ICWE | 2005<br>2001<br>1999<br>2004<br>2003 | 0.89<br>0.81<br>0.84<br>0.75<br>0.71 | 0.90<br>0.72<br>0.81<br>0.62<br>0.73 | 0.88<br>0.78<br>0.81<br>0.69<br>0.76 |",1]
["| Area | Conference | 1year | AverageNewComers | AveragePnewComers | AverageLeavers |\n| --- | --- | --- | --- | --- | --- |\n| AT | APPROX<br>ICCS<br>SOFSEM<br>TLCA<br>DLT | 1998<br>1992<br>1995<br>1993<br>1993 | 0.75<br>0.53<br>0.82<br>0.66<br>0.56 | 0.72<br>0.59<br>0.83<br>0.74<br>0.66 | 0.64<br>0.48<br>0.79<br>0.65<br>0.54 |","| Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",0]
["| Area | Conference | 1year | AverageNewComers | AveragePnewComers | AverageLeavers |\n| --- | --- | --- | --- | --- | --- |\n| AT | APPROX<br>ICCS<br>SOFSEM<br>TLCA<br>DLT | 1998<br>1992<br>1995<br>1993<br>1993 | 0.75<br>0.53<br>0.82<br>0.66<br>0.56 | 0.72<br>0.59<br>0.83<br>0.74<br>0.66 | 0.64<br>0.48<br>0.79<br>0.65<br>0.54 |\n| DM | MLDM<br>IndCDM<br>ADMA<br>KES<br>IDEAL | 1999<br>2001<br>2005<br>1997<br>2000 | 0.85<br>0.86<br>0.85<br>0.79<br>0.81 | 0.86<br>0.84<br>0.75<br>0.75<br>0.75 | 0.75<br>0.75<br>0.87<br>0.75<br>0.81 |","| SEC | SCN<br>ISCISW<br>ISPEC<br>ACISP<br>WISA | 2002<br>1997<br>2005<br>1996<br>2003 | 0.75<br>0.83<br>0.65<br>0.86<br>0.84 | 0.71<br>0.75<br>0.58<br>0.76<br>0.79 | 0.74<br>0.83<br>0.84<br>0.62<br>0.87 |\n| --- | --- | --- | --- | --- | --- |\n| WWW | WEBIST<br>SAINT<br>WECWIS<br>ESWC<br>ICWE | 2005<br>2001<br>1999<br>2004<br>2003 | 0.89<br>0.81<br>0.84<br>0.75<br>0.71 | 0.90<br>0.72<br>0.81<br>0.62<br>0.73 | 0.88<br>0.78<br>0.81<br>0.69<br>0.76 |",1]
["| Area | Conference | 1year | AverageNewComers | AveragePnewComers | AverageLeavers |\n| --- | --- | --- | --- | --- | --- |\n| AT | APPROX<br>ICCS<br>SOFSEM<br>TLCA<br>DLT | 1998<br>1992<br>1995<br>1993<br>1993 | 0.75<br>0.53<br>0.82<br>0.66<br>0.56 | 0.72<br>0.59<br>0.83<br>0.74<br>0.66 | 0.64<br>0.48<br>0.79<br>0.65<br>0.54 |\n| DM | MLDM<br>IndCDM<br>ADMA<br>KES<br>IDEAL | 1999<br>2001<br>2005<br>1997<br>2000 | 0.85<br>0.86<br>0.85<br>0.79<br>0.81 | 0.86<br>0.84<br>0.75<br>0.75<br>0.75 | 0.75<br>0.75<br>0.87<br>0.75<br>0.81 |","| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",0]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0839±0.0035 | 14.6747±0.3073 | 103 | - |\n| GKKM | 0.0878±0.0038 | 5.31±0.02 | 5 | 0.5347 |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |","| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0861±0.0037<br>0.0861±0.0037<br>0.0877±0.0038<br>0.0882±0.0039 | 4.34±0.04<br>4.34±0.05<br>4.17±0.02<br>4.56±0.23 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |\n| --- | --- | --- | --- | --- |\n| M=10,µ=0.1111,σ=0.10 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0835±0.0035<br>0.0835±0.0035<br>0.0852±0.0035<br>0.0857±0.0036 | 3.27±0.03<br>3.25±0.04<br>3.32±0.01<br>3.38±0.08 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |\n| M=20,µ=0.0526,σ=0.04980 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0817±0.0034<br>0.0817±0.0034<br>0.0817±0.0034<br>0.0828±0.0035 | 3.22±0.04<br>3.23±0.05<br>3.27±0.02<br>3.24±0.05 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |\n| M=30,µ=0.0345,σ=0.03530 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0804±0.0033<br>0.0803±0.0033<br>0.0806±0.0033<br>0.0810±0.0034 | 3.43±0.05<br>3.45±0.03<br>3.48±0.05<br>3.33±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 |",1]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0839±0.0035 | 14.6747±0.3073 | 103 | - |\n| GKKM | 0.0878±0.0038 | 5.31±0.02 | 5 | 0.5347 |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |","| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0728±0.0030 | 277.03±4.30 | 420 | - |\n| GKKM | 0.0729±0.0030 | 25.52±0.18 | 36 | 0.7760 |\n| M=5,µ=0.25,σ=0.25480 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0748±0.0031<br>0.0749±0.0031<br>0.0764±0.0032<br>0.0776±0.0033 | 2.99±0.10<br>3.12±0.18<br>2.85±0.06<br>2.99±0.15 | 10<br>10<br>8<br>7.13±0.97 | 0.2482<br>0.2482<br>0.2482<br>0.2331 |\n| M=10,µ=0.1111,σ=0.13200 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0746±0.0031<br>0.0745±0.0031<br>0.0757±0.0032<br>0.0757±0.0031 | 2.85±0.19<br>2.84±0.14<br>2.57±0.04<br>2.64±0.10 | 16<br>16<br>16<br>13.09±1.10 | 0.1108<br>0.1108<br>0.1104<br>0.0996 |\n| M=20,µ=0.0526,σ=0.09650 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0735±0.0029<br>0.0737±0.0029<br>0.0753±0.0031<br>0.0753±0.0031 | 2.87±0.12<br>2.96±0.17<br>2.55±0.03<br>2.56±0.04 | 21<br>21<br>20<br>15.95±1.13 | 0.0520<br>0.0520<br>0.0525<br>0.0467 |\n| M=30,µ=0.0345,σ=0.05030 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 |",0]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0839±0.0035 | 14.6747±0.3073 | 103 | - |","| GKKM | 0.0878±0.0038 | 5.31±0.02 | 5 | 0.5347 |\n| --- | --- | --- | --- | --- |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0861±0.0037<br>0.0861±0.0037<br>0.0877±0.0038<br>0.0882±0.0039 | 4.34±0.04<br>4.34±0.05<br>4.17±0.02<br>4.56±0.23 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |\n| M=10,µ=0.1111,σ=0.10 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0835±0.0035<br>0.0835±0.0035<br>0.0852±0.0035<br>0.0857±0.0036 | 3.27±0.03<br>3.25±0.04<br>3.32±0.01<br>3.38±0.08 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |\n| M=20,µ=0.0526,σ=0.04980 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0817±0.0034<br>0.0817±0.0034<br>0.0817±0.0034<br>0.0828±0.0035 | 3.22±0.04<br>3.23±0.05<br>3.27±0.02<br>3.24±0.05 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |\n| M=30,µ=0.0345,σ=0.03530 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0804±0.0033<br>0.0803±0.0033<br>0.0806±0.0033<br>0.0810±0.0034 | 3.43±0.05<br>3.45±0.03<br>3.48±0.05<br>3.33±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 |",1]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0839±0.0035 | 14.6747±0.3073 | 103 | - |","| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0735±0.0029<br>0.0737±0.0029<br>0.0753±0.0031<br>0.0753±0.0031 | 2.87±0.12<br>2.96±0.17<br>2.55±0.03<br>2.56±0.04 | 21<br>21<br>20<br>15.95±1.13 | 0.0520<br>0.0520<br>0.0525<br>0.0467 |\n| --- | --- | --- | --- | --- |\n| M=30,µ=0.0345,σ=0.05030 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 |",0]
["| Algorithm | nData=5(ζ=0)T |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.6333±0.07 | 0.9800±0.06 | 0.7661±0.06 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |","|  | nData=10(ζ=0)T |  |  |\n| --- | --- | --- | --- |\n| He-Geng | 0.667±0.00 | 1.00±0.00 | 0.80±0.00 |\n| Baseline | 1.00±0.00 | 0.9847±0.05 | 0.9923±0.02 |\n| MIMB | 0.9667±0.07 | 1.00±0.00 | 0.9818±0.04 |",1]
["| Algorithm | nData=5(ζ=0)T |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.6333±0.07 | 0.9800±0.06 | 0.7661±0.06 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |","| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.80±0.42 | 1.00±0.00 | 0.89±0.32 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n|  | nData=10 |  |  |\n| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| Baseline | 0.90±0.21 | 0.93±0.14 | 0.8933±0.15 |\n| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 |",0]
["| Algorithm | nData=5(ζ=0)T |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.6333±0.07 | 0.9800±0.06 | 0.7661±0.06 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n|  | nData=10(ζ=0)T |  |  |","| He-Geng | 0.667±0.00 | 1.00±0.00 | 0.80±0.00 |\n| --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.9847±0.05 | 0.9923±0.02 |\n| MIMB | 0.9667±0.07 | 1.00±0.00 | 0.9818±0.04 |",1]
["| Algorithm | nData=5(ζ=0)T |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.6333±0.07 | 0.9800±0.06 | 0.7661±0.06 |\n| Baseline | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| MIMB | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n|  | nData=10(ζ=0)T |  |  |","| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| --- | --- | --- | --- |\n| Baseline | 0.90±0.21 | 0.93±0.14 | 0.8933±0.15 |\n| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 |",0]
["|  | TextPost<br>Dataset | PhotoCaption<br>Dataset |\n| --- | --- | --- |\n| #Posts | 21.5M | 26.3M |","| MeanPostLength | 426.7Bytes | 64.3Bytes |\n| --- | --- | --- |\n| MedianPostLength | 87Bytes | 29Bytes |\n| MaxPostLength | 446.0KBytes | 485.5KBytes |",1]
["|  | TextPost<br>Dataset | PhotoCaption<br>Dataset |\n| --- | --- | --- |\n| #Posts | 21.5M | 26.3M |","| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["|  | TextPost<br>Dataset | PhotoCaption<br>Dataset |\n| --- | --- | --- |\n| #Posts | 21.5M | 26.3M |","| MeanPostLength | 426.7Bytes | 64.3Bytes |\n| --- | --- | --- |\n| MedianPostLength | 87Bytes | 29Bytes |\n| MaxPostLength | 446.0KBytes | 485.5KBytes |",1]
["|  | TextPost<br>Dataset | PhotoCaption<br>Dataset |\n| --- | --- | --- |\n| #Posts | 21.5M | 26.3M |","| 101 | 600K | 75h | 8x7.5G |\n| --- | --- | --- | --- |\n| 101 | 4M | ¿500h | 8x8G |",0]
["| K | αd | αf | αs | αo | αM |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1.5 | − | 1.5 | − | 2.8 |\n| 3 | 4.16 | − | 4.55 | − | 5.83 |\n| 4 | 8.4 | − | 10.15 | − | 11.56 |","| 5 | 16.2 | 20.3 | 21.26 | 20.7 | 22.8 |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |\n| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |\n| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 |",1]
["| K | αd | αf | αs | αo | αM |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1.5 | − | 1.5 | − | 2.8 |\n| 3 | 4.16 | − | 4.55 | − | 5.83 |\n| 4 | 8.4 | − | 10.15 | − | 11.56 |","| K | dc | (d+1)/Kc | d/Kc | α(from)d |\n| --- | --- | --- | --- | --- |\n| 2 | 2 | 1.5 | 1 | 1 |\n| 3 | 11.5 | 4.166 | 3.83 | 3.927 |\n| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |\n| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",0]
["| K | αd | αf | αs | αo | αM |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1.5 | − | 1.5 | − | 2.8 |\n| 3 | 4.16 | − | 4.55 | − | 5.83 |\n| 4 | 8.4 | − | 10.15 | − | 11.56 |\n| 5 | 16.2 | 20.3 | 21.26 | 20.7 | 22.8 |","| 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |\n| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 |",1]
["| K | αd | αf | αs | αo | αM |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1.5 | − | 1.5 | − | 2.8 |\n| 3 | 4.16 | − | 4.55 | − | 5.83 |\n| 4 | 8.4 | − | 10.15 | − | 11.56 |\n| 5 | 16.2 | 20.3 | 21.26 | 20.7 | 22.8 |","| 4 | 32.6 | 8.4 | 8.15 | 8.297 |\n| --- | --- | --- | --- | --- |\n| 5 | 80 | 16.2 | 16.00 | 16.12 |\n| 6 | 182 | 30.5 | 30.33 | 30.5 |\n| 7 | 400 | 57.28 | 57.14 | 57.22 |\n| 8 | 856 | 107.13 | 107.00 | 107.24 |",0]
["| Oceancp | Radix |  |  |  |\n| --- | --- | --- | --- | --- |\n| T=400 | T=1,200 | T=400 | T=1,200 |  |\n| Cores | 2 | 2 | 4 | 4 |\n| Frequency | 3200 | 3200 | 3200 | 3200 |","| L1-ICacheSize | 8 | 128 | 8 | 128 |\n| --- | --- | --- | --- | --- |\n| L1-DCacheSize | 32 | 128 | 64 | 16 |\n| L2CacheSize | 1024 | 512 | 1024 | 512 |\n| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",1]
["| Oceancp | Radix |  |  |  |\n| --- | --- | --- | --- | --- |\n| T=400 | T=1,200 | T=400 | T=1,200 |  |\n| Cores | 2 | 2 | 4 | 4 |\n| Frequency | 3200 | 3200 | 3200 | 3200 |","| Workload | CorrelationCoeﬃcients |  |\n| --- | --- | --- |\n| PARSEC | L3cachemiss | 0.899 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-COMM | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-DGEMM | L3cachemiss | 0.988 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-FFT | L3cachemiss | 0.997 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-HPL | L3cachemiss | 0.859 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-PTRANS | L3cachemiss | 0.871 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-RandomAccess | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-Stream | L3cachemiss | 0.995 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECINT | L2cachemiss | 0.767 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECCFP |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",0]
["| Oceancp | Radix |  |  |  |\n| --- | --- | --- | --- | --- |\n| T=400 | T=1,200 | T=400 | T=1,200 |  |\n| Cores | 2 | 2 | 4 | 4 |\n| Frequency | 3200 | 3200 | 3200 | 3200 |\n| L1-ICacheSize | 8 | 128 | 8 | 128 |\n| L1-DCacheSize | 32 | 128 | 64 | 16 |\n| L2CacheSize | 1024 | 512 | 1024 | 512 |","| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| --- | --- | --- | --- | --- |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",1]
["| Oceancp | Radix |  |  |  |\n| --- | --- | --- | --- | --- |\n| T=400 | T=1,200 | T=400 | T=1,200 |  |\n| Cores | 2 | 2 | 4 | 4 |\n| Frequency | 3200 | 3200 | 3200 | 3200 |\n| L1-ICacheSize | 8 | 128 | 8 | 128 |\n| L1-DCacheSize | 32 | 128 | 64 | 16 |\n| L2CacheSize | 1024 | 512 | 1024 | 512 |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-DGEMM | L3cachemiss | 0.988 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-FFT | L3cachemiss | 0.997 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-HPL | L3cachemiss | 0.859 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-PTRANS | L3cachemiss | 0.871 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-RandomAccess | L3cachemiss | 0.999 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| HPCC-Stream | L3cachemiss | 0.995 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECINT | L2cachemiss | 0.767 |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n| SPECCFP |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",0]
["| K | D |\n| --- | --- |\n| 20000 | 20000 |\n| 64 | 8192 |","| 64 | 4096 |\n| --- | --- |\n| 1000 | 2000 |",1]
["| K | D |\n| --- | --- |\n| 20000 | 20000 |\n| 64 | 8192 |","| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |\n| 6 | 114 | 119 | 126 | 130 | 130 |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["| K | D |\n| --- | --- |\n| 20000 | 20000 |","| 64 | 8192 |\n| --- | --- |\n| 64 | 4096 |\n| 1000 | 2000 |",1]
["| K | D |\n| --- | --- |\n| 20000 | 20000 |","| 8 | 534 | 543 | 663 | 705 | 706 |\n| --- | --- | --- | --- | --- | --- |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| Dictionary | - | 0.1691 | 0.2048 | 0.2048 | 0.0804 | 0.1464 | 0.137 |\n| WE+DT | 3words<br>5words<br>7words | 0.2593<br>0.2615<br>0.26 | 0.404<br>0.424<br>0.416 | 0.38<br>0.41<br>0.397 | 0.128<br>0.133<br>0.13 | 0.168<br>0.1835<br>0.174 | 0.16<br>0.168<br>0.169 |\n| WE+DTweighted | 3words<br>5words<br>7words | 0.2623<br>0.2898<br>0.2718 | 0.358<br>0.4920<br>0.391 | 0.35<br>0.49<br>0.39 | 0.1219<br>0.147<br>0.136 | 0.208<br>0.22<br>0.19 | 0.11<br>0.218<br>0.18 |","| SIMVec+DTweighted | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2835<br>0.2850<br>0.2824 | 0.4604<br>0.4668<br>0.4615 | 0.457<br>0.46<br>0.453 | 0.1419<br>0.142<br>0.14 | 0.237<br>0.25<br>0.247 | 0.23<br>0.248<br>0.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Max-15words<br>Max-20words<br>Max-25words | 0.2965<br>0.2975<br>0.2967 | 0.495<br>0.508<br>0.497 | 0.49<br>0.4913<br>0.485 | 0.148<br>0.1486<br>0.139 | 0.234<br>0.241<br>0.25 | 0.228<br>0.236<br>0.248 |  |",1]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| Dictionary | - | 0.1691 | 0.2048 | 0.2048 | 0.0804 | 0.1464 | 0.137 |\n| WE+DT | 3words<br>5words<br>7words | 0.2593<br>0.2615<br>0.26 | 0.404<br>0.424<br>0.416 | 0.38<br>0.41<br>0.397 | 0.128<br>0.133<br>0.13 | 0.168<br>0.1835<br>0.174 | 0.16<br>0.168<br>0.169 |\n| WE+DTweighted | 3words<br>5words<br>7words | 0.2623<br>0.2898<br>0.2718 | 0.358<br>0.4920<br>0.391 | 0.35<br>0.49<br>0.39 | 0.1219<br>0.147<br>0.136 | 0.208<br>0.22<br>0.19 | 0.11<br>0.218<br>0.18 |","| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",0]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| Dictionary | - | 0.1691 | 0.2048 | 0.2048 | 0.0804 | 0.1464 | 0.137 |\n| WE+DT | 3words<br>5words<br>7words | 0.2593<br>0.2615<br>0.26 | 0.404<br>0.424<br>0.416 | 0.38<br>0.41<br>0.397 | 0.128<br>0.133<br>0.13 | 0.168<br>0.1835<br>0.174 | 0.16<br>0.168<br>0.169 |","| WE+DTweighted | 3words<br>5words<br>7words | 0.2623<br>0.2898<br>0.2718 | 0.358<br>0.4920<br>0.391 | 0.35<br>0.49<br>0.39 | 0.1219<br>0.147<br>0.136 | 0.208<br>0.22<br>0.19 | 0.11<br>0.218<br>0.18 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SIMVec+DTweighted | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2835<br>0.2850<br>0.2824 | 0.4604<br>0.4668<br>0.4615 | 0.457<br>0.46<br>0.453 | 0.1419<br>0.142<br>0.14 | 0.237<br>0.25<br>0.247 | 0.23<br>0.248<br>0.24 |\n| Max-15words<br>Max-20words<br>Max-25words | 0.2965<br>0.2975<br>0.2967 | 0.495<br>0.508<br>0.497 | 0.49<br>0.4913<br>0.485 | 0.148<br>0.1486<br>0.139 | 0.234<br>0.241<br>0.25 | 0.228<br>0.236<br>0.248 |  |",1]
["| Method | #Translations | 2012Dataset | 2008Dataset |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MAP | P5 | P10 | MAP | P5 | P10 |  |  |\n| Dictionary | - | 0.1691 | 0.2048 | 0.2048 | 0.0804 | 0.1464 | 0.137 |\n| WE+DT | 3words<br>5words<br>7words | 0.2593<br>0.2615<br>0.26 | 0.404<br>0.424<br>0.416 | 0.38<br>0.41<br>0.397 | 0.128<br>0.133<br>0.13 | 0.168<br>0.1835<br>0.174 | 0.16<br>0.168<br>0.169 |","| WE | 1word<br>2words<br>3words<br>5words | 0.2533<br>0.2568<br>0.2379<br>0.2053 | 0.3920<br>0.3840<br>0.384<br>0.328 | 0.3840<br>0.3720<br>0.3520<br>0.32 | 0.1284<br>0.129<br>0.127<br>0.119 | 0.175<br>0.167<br>0.166<br>0.145 | 0.163<br>0.154<br>0.152<br>0.143 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WEweighted | 3words<br>5words<br>7words | 0.2802<br>0.2808<br>0.2804 | 0.436<br>0.408<br>0.428 | 0.392<br>0.408<br>0.402 | 0.138<br>0.14<br>0.136 | 0.191<br>0.218<br>0.21 | 0.187<br>0.209<br>0.196 |\n| SIMVec | Sum-15words<br>Sum-20words<br>Sum-25words | 0.2508<br>0.2562<br>0.2493 | 0.364<br>0.368<br>0.359 | 0.362<br>0.368<br>0.343 | 0.1276<br>0.1282<br>0.1268 | 0.2137<br>0.2108<br>0.187 | 0.1968<br>0.196<br>0.1823 |\n| Max-10words<br>Max-15words<br>Max-20words<br>Max-25words | 0.2733<br>0.2835<br>0.2830<br>0.2812 | 0.4120<br>0.408<br>0.4120<br>0.424 | 0.382<br>0.4<br>0.392<br>0.394 | 0.138<br>0.144<br>0.14<br>0.137 | 0.23<br>0.2416<br>0.2471<br>0.24 | 0.225<br>0.237<br>0.238<br>0.24 |  |",0]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.4710 | 0.2101 | 0.0145 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1955 | 0.2849 | 0.2793 |\n| WeThreeKings | 0.2845 | 0.3724 | 0.0 |\n| WeThreeKings-LayeredHMM | 0.2049 | 0.3394 | 0.2294 |","| Pachelbel’sCanon | 0.4286 | 0.1203 | 0.0075 |\n| --- | --- | --- | --- |\n| Pachelbel’sCanon-TVAR(11) | 0.1477 | 0.2727 | 0.267 |",1]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.4710 | 0.2101 | 0.0145 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1955 | 0.2849 | 0.2793 |\n| WeThreeKings | 0.2845 | 0.3724 | 0.0 |\n| WeThreeKings-LayeredHMM | 0.2049 | 0.3394 | 0.2294 |","| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.0769 | 0.3427 | 0.1119 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1266 | 0.2848 | 0.1709 |\n| WeThreeKings | 0.0757 | 0.2919 | 0.4324 |\n| WeThreeKings-LayeredHMM | 0.2054 | 0.2865 | 0.1784 |\n| Pachelbel’sCanon | 0.1497 | 0.2389 | 0.5191 |\n| Pachelbel’sCanon-TVAR(11) | 0.625 | 0.275 | 0.3000 |",0]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.4710 | 0.2101 | 0.0145 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1955 | 0.2849 | 0.2793 |\n| WeThreeKings | 0.2845 | 0.3724 | 0.0 |\n| WeThreeKings-LayeredHMM | 0.2049 | 0.3394 | 0.2294 |","| Pachelbel’sCanon | 0.4286 | 0.1203 | 0.0075 |\n| --- | --- | --- | --- |\n| Pachelbel’sCanon-TVAR(11) | 0.1477 | 0.2727 | 0.267 |",1]
["| Piece | Thirds | Fourths/Fifths | Dissonant |\n| --- | --- | --- | --- |\n| Beethoven’sOdetoJoy | 0.4710 | 0.2101 | 0.0145 |\n| Beethoven’sOdetoJoy-LayeredHMM | 0.1955 | 0.2849 | 0.2793 |\n| WeThreeKings | 0.2845 | 0.3724 | 0.0 |\n| WeThreeKings-LayeredHMM | 0.2049 | 0.3394 | 0.2294 |","| WeThreeKings | 0.0757 | 0.2919 | 0.4324 |\n| --- | --- | --- | --- |\n| WeThreeKings-LayeredHMM | 0.2054 | 0.2865 | 0.1784 |\n| Pachelbel’sCanon | 0.1497 | 0.2389 | 0.5191 |\n| Pachelbel’sCanon-TVAR(11) | 0.625 | 0.275 | 0.3000 |",0]
["| Word1 | Word2 | Similarity |\n| --- | --- | --- |\n| large | NEGEXenlarged | -0.245 |\n| hemorrhage | NEGEXQUALhemorrhage | -0.074 |","| hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |\n| --- | --- | --- |\n| infarction | NEGEXQUALinfarction | -0.070 |\n| largeterritoryinfarction | NEGEXQUALlargeterritoryinfarction | -0.157 |\n| midlineshift | NEGEXQUALmidlineshift | -0.206 |\n| abnormalities | NEGEXQUALabnormalities | -0.283 |\n| masseﬀect | NEGEXQUALmasseﬀect | -0.170 |",1]
["| Word1 | Word2 | Similarity |\n| --- | --- | --- |\n| large | NEGEXenlarged | -0.245 |\n| hemorrhage | NEGEXQUALhemorrhage | -0.074 |","| word1 | word2 | similarities(cosine-dist) | remark |\n| --- | --- | --- | --- |\n| dilantin | tegretol | 0.75135758 | drug-drug |\n| phenytoin | dilantin | 0.62360351 | drug-drug |\n| phenytoin | tegretol | 0.51322415 | drug-drug |\n| cholestyramine | dilantin | 0.24557819 | drug-drug |\n| cholestyramine | phenytoin | 0.23701277 | drug-drug |\n| administration | patients | 0.20459694 | non-drug-non-drug |\n| tegretol | may | 0.11605539 | drug-non-drug |\n| cholestyramine | patients | 0.08827197 | drug-non-drug |\n| evaluated | end | 0.07379115 | non-drug-non-drug |\n| within | controlled | 0.06111103 | non-drug-non-drug |\n| cholestyramine | evaluated | 0.04024139 | drug-non-drug |\n| dilantin | end | 0.02234770 | drug-non-drug |",0]
["| Word1 | Word2 | Similarity |\n| --- | --- | --- |\n| large | NEGEXenlarged | -0.245 |\n| hemorrhage | NEGEXQUALhemorrhage | -0.074 |\n| hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |\n| infarction | NEGEXQUALinfarction | -0.070 |","| largeterritoryinfarction | NEGEXQUALlargeterritoryinfarction | -0.157 |\n| --- | --- | --- |\n| midlineshift | NEGEXQUALmidlineshift | -0.206 |\n| abnormalities | NEGEXQUALabnormalities | -0.283 |\n| masseﬀect | NEGEXQUALmasseﬀect | -0.170 |",1]
["| Word1 | Word2 | Similarity |\n| --- | --- | --- |\n| large | NEGEXenlarged | -0.245 |\n| hemorrhage | NEGEXQUALhemorrhage | -0.074 |\n| hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |\n| infarction | NEGEXQUALinfarction | -0.070 |","| within | controlled | 0.06111103 | non-drug-non-drug |\n| --- | --- | --- | --- |\n| cholestyramine | evaluated | 0.04024139 | drug-non-drug |\n| dilantin | end | 0.02234770 | drug-non-drug |",0]
["|  | Kosarak | Retail | Q148 | Webdocs |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 299887139 |\n| Distinctitems | 41270 | 16470 | 11824 | 5267656 |","| Min | 1 | 0 | 0 | 1 |\n| --- | --- | --- | --- | --- |\n| Max | 41270 | 16469 | 149464496 | 5267656 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 122715 |\n| Median | 640 | 1564 | 63 | 1988 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.1 |",1]
["|  | Kosarak | Retail | Q148 | Webdocs |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 299887139 |\n| Distinctitems | 41270 | 16470 | 11824 | 5267656 |","|  | Kosarak | Retail | Q148 | Nasa |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 284170 |\n| Distinctitems | 41270 | 16470 | 11824 | 2116 |\n| Min | 1 | 0 | 0 | 0 |\n| Max | 41270 | 16469 | 149464496 | 28474 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |\n| Median | 640 | 1564 | 63 | 120 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.5 |",0]
["|  | Kosarak | Retail | Q148 | Webdocs |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 299887139 |\n| Distinctitems | 41270 | 16470 | 11824 | 5267656 |\n| Min | 1 | 0 | 0 | 1 |\n| Max | 41270 | 16469 | 149464496 | 5267656 |","| Mean | 2387.2 | 3264.7 | 3392.9 | 122715 |\n| --- | --- | --- | --- | --- |\n| Median | 640 | 1564 | 63 | 1988 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.1 |",1]
["|  | Kosarak | Retail | Q148 | Webdocs |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 299887139 |\n| Distinctitems | 41270 | 16470 | 11824 | 5267656 |\n| Min | 1 | 0 | 0 | 1 |\n| Max | 41270 | 16469 | 149464496 | 5267656 |","| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |\n| --- | --- | --- | --- | --- |\n| Median | 640 | 1564 | 63 | 120 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.5 |",0]
["| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |\n| --- | --- | --- | --- | --- | --- |\n|  | 100M | 3.7T | 14GB | NA | NA |\n|  | 17M | 70M | <2GB | NA | 16GB |\n|  | NA | NA | NA | NA | NA |\n|  | 4.7M | 70M | ¡75GB | NA | NA |\n|  | 8M | 29M | <512GB | 100000 | NA |\n|  | 21G | 160G | 1.46TB | NA | NA |","|  | 1.8M | 18M | <12GB | <8M | NA |\n| --- | --- | --- | --- | --- | --- |\n|  | 40M | 1.4T | 14GB | NA | NA |\n|  | 100M | 600M | 3TB | 1.2G | 0.3TB |",1]
["| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |\n| --- | --- | --- | --- | --- | --- |\n|  | 100M | 3.7T | 14GB | NA | NA |\n|  | 17M | 70M | <2GB | NA | 16GB |\n|  | NA | NA | NA | NA | NA |\n|  | 4.7M | 70M | ¡75GB | NA | NA |\n|  | 8M | 29M | <512GB | 100000 | NA |\n|  | 21G | 160G | 1.46TB | NA | NA |","| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |\n| --- | --- | --- | --- | --- | --- |\n|  | 100M | 3.7T | 14GB | NA | NA |\n|  | 17M | 70M | <2GB | NA | 16GB |\n|  | NA | NA | NA | NA | NA |\n|  | 4.7M | 70M | ¡75GB | NA | NA |\n|  | 8M | 29M | <512GB | 100000 | NA |","|  | 21G | 160G | 1.46TB | NA | NA |\n| --- | --- | --- | --- | --- | --- |\n|  | 1.8M | 18M | <12GB | <8M | NA |\n|  | 40M | 1.4T | 14GB | NA | NA |\n|  | 100M | 600M | 3TB | 1.2G | 0.3TB |",1]
["| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |\n| --- | --- | --- | --- | --- | --- |\n|  | 100M | 3.7T | 14GB | NA | NA |\n|  | 17M | 70M | <2GB | NA | 16GB |\n|  | NA | NA | NA | NA | NA |\n|  | 4.7M | 70M | ¡75GB | NA | NA |\n|  | 8M | 29M | <512GB | 100000 | NA |","| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| --- | --- | --- | --- | --- |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| Dataset | Nodes | Edges | Clusters |\n| --- | --- | --- | --- |\n| DTI | 142541 | 3992290 | 500 |","| FB | 4039 | 88234 | 10 |\n| --- | --- | --- | --- |\n| DBLP | 317080 | 1049866 | 500 |\n| Syn200 | 20000 | 773388 | 200 |",1]
["| Dataset | Nodes | Edges | Clusters |\n| --- | --- | --- | --- |\n| DTI | 142541 | 3992290 | 500 |","| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["| Dataset | Nodes | Edges | Clusters |\n| --- | --- | --- | --- |\n| DTI | 142541 | 3992290 | 500 |","| FB | 4039 | 88234 | 10 |\n| --- | --- | --- | --- |\n| DBLP | 317080 | 1049866 | 500 |\n| Syn200 | 20000 | 773388 | 200 |",1]
["| Dataset | Nodes | Edges | Clusters |\n| --- | --- | --- | --- |\n| DTI | 142541 | 3992290 | 500 |","| Pokec | directed | 1.6M | 30.6M |\n| --- | --- | --- | --- |\n| LiveJournal | undirected | 4.8M | 69M |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| --- | --- | --- | --- | --- |\n| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |\n| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |","| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |\n| --- | --- | --- | --- | --- |\n| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |\n| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |\n| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",1]
["| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| --- | --- | --- | --- | --- |\n| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |\n| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |","| MAP@Top500 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |\n| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |\n| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |\n| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |\n| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |\n| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |\n| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |\n| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |\n| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |",0]
["| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| --- | --- | --- | --- | --- |\n| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |\n| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |\n| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |\n| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |\n| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |","| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| --- | --- | --- | --- | --- |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",1]
["| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| --- | --- | --- | --- | --- |\n| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |\n| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |\n| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |\n| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |\n| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |","| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |\n| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["|  | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC |  |  |\n| --- | --- | --- | --- | --- |\n| Java | 0.291 | 0.164 | 0.900 | 0.961 |\n| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |\n| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |\n| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 |","| AB-CAS | 0.001 | 0.822 | 1.000 | 0.638 |\n| --- | --- | --- | --- | --- |\n| TS-CAS | 0.829 | 0.211 | 0.605 | 0.946 |",1]
["|  | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC |  |  |\n| --- | --- | --- | --- | --- |\n| Java | 0.291 | 0.164 | 0.900 | 0.961 |\n| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |\n| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |\n| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 |","|  | ODINDATA | SMULTRONDATA |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DE | GD | HA | MG | KO | CY | YAQ | DE | SV | DE-SV |\n| Baseline | 76.7 | 72.0 | 54.4 | 57.4 | 56.0 | 75.4 | 54.4 | 40.7 | 37.5 | 43.3 |\n| Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |\n| Merge | 95.4 | 92.5 | 97.5 | 97.4 | 95.4 | 97.2 | 95.9 | 71.8 | 73.9 | 82.8 |\n| Swap | 96.8 | 94.1 | 97.5 | 98.0 | 96.1 | 98.2 | 96.2 | 83.0 | 84.2 | 87.2 |",0]
["|  | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC |  |  |\n| --- | --- | --- | --- | --- |\n| Java | 0.291 | 0.164 | 0.900 | 0.961 |\n| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |\n| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |\n| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 |","| AB-CAS | 0.001 | 0.822 | 1.000 | 0.638 |\n| --- | --- | --- | --- | --- |\n| TS-CAS | 0.829 | 0.211 | 0.605 | 0.946 |",1]
["|  | Normalstdev<br>XeonSPARC | Jain’sIndex<br>XeonSPARC |  |  |\n| --- | --- | --- | --- | --- |\n| Java | 0.291 | 0.164 | 0.900 | 0.961 |\n| CB-CAS | 0.077 | 0.196 | 0.992 | 0.957 |\n| EXP-CAS | 0.536 | 0.936 | 0.761 | 0.588 |\n| MCS-CAS | 0.975 | 0.596 | 0.563 | 0.727 |","| Remove | 93.9 | 87.8 | 95.7 | 88.9 | 88.1 | 95.1 | 90.9 | 63.6 | 62.2 | 73.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Merge | 95.4 | 92.5 | 97.5 | 97.4 | 95.4 | 97.2 | 95.9 | 71.8 | 73.9 | 82.8 |\n| Swap | 96.8 | 94.1 | 97.5 | 98.0 | 96.1 | 98.2 | 96.2 | 83.0 | 84.2 | 87.2 |",0]
["| Class | Precision | Recall | F-1score | Support |\n| --- | --- | --- | --- | --- |\n| creamy | 0.66 | 0.59 | 0.62 | 117 |\n| diced | 0.75 | 0.74 | 0.75 | 128 |\n| grated | 0.67 | 0.74 | 0.70 | 132 |","| juiced | 0.68 | 0.83 | 0.75 | 107 |\n| --- | --- | --- | --- | --- |\n| julienne | 0.68 | 0.63 | 0.65 | 83 |\n| sliced | 0.70 | 0.71 | 0.70 | 224 |\n| whole | 0.76 | 0.68 | 0.72 | 203 |\n| average | 0.71 | 0.70 | 0.70 | 994 |",1]
["| Class | Precision | Recall | F-1score | Support |\n| --- | --- | --- | --- | --- |\n| creamy | 0.66 | 0.59 | 0.62 | 117 |\n| diced | 0.75 | 0.74 | 0.75 | 128 |\n| grated | 0.67 | 0.74 | 0.70 | 132 |","| Classiﬁer | Accuracy | Precision | Recall |\n| --- | --- | --- | --- |\n| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |\n| BaggingwithREPTree | 74.25 | 72.78 | 73.96 |\n| BaggingwithRF | 79.48 | 78.60 | 79.27 |\n| BoostingwithJ48 | 76.76 | 76.18 | 76.58 |\n| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |\n| BoostingwithRF | 79.10 | 78.32 | 78.93 |",0]
["| Class | Precision | Recall | F-1score | Support |\n| --- | --- | --- | --- | --- |\n| creamy | 0.66 | 0.59 | 0.62 | 117 |\n| diced | 0.75 | 0.74 | 0.75 | 128 |","| grated | 0.67 | 0.74 | 0.70 | 132 |\n| --- | --- | --- | --- | --- |\n| juiced | 0.68 | 0.83 | 0.75 | 107 |\n| julienne | 0.68 | 0.63 | 0.65 | 83 |\n| sliced | 0.70 | 0.71 | 0.70 | 224 |\n| whole | 0.76 | 0.68 | 0.72 | 203 |\n| average | 0.71 | 0.70 | 0.70 | 994 |",1]
["| Class | Precision | Recall | F-1score | Support |\n| --- | --- | --- | --- | --- |\n| creamy | 0.66 | 0.59 | 0.62 | 117 |\n| diced | 0.75 | 0.74 | 0.75 | 128 |","| BoostingwithJ48 | 76.76 | 76.18 | 76.58 |\n| --- | --- | --- | --- |\n| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |\n| BoostingwithRF | 79.10 | 78.32 | 78.93 |",0]
["| Objects |  |\n| --- | --- |\n| Object | Remarks |\n| FandS<br>C<br>PandN<br>PrandNx<br>AandD<br>RandT<br>M | TheFile(document)andtheSentence<br>TheCurrentnode(thecentreofthenode-by-nodequeryprocessing)<br>ThePreviousandtheNextnodes<br>ThePrevioussiblingandtheNextsiblingnodes<br>TheAncestor(orparent)andtheDescendant(orchild)nodes<br>TheReferredandtheReferringnodes(threadnavigation)<br>Thenode(s)thatmatchedoneoftheconditions,e.g.M[p],pbeingtheconditionalias |\n| Members |  |\n| Member | Remarks |\n| l<br>t<br>a<br>v<br>f | Thelexicaldataforthenode<br>Thetag(e.g.POStag)ofthenode<br>Theattribute,withtheindexspeciﬁedwithinsquarebrackets,e.g.a[‘lex’]<br>Thelevel(distancefromtheroot)ofatreenode(0beingtheroot)<br>Booleanvaluetocheckifanodeisaleafnode |\n| OperatorsandValues |  |","| Operator/Value | Remarks |\n| --- | --- |\n| AND<br>OR<br>()<br>[]<br>:<br>.<br>‘’<br>+<br>=and!=<br>∼and!∼<br>=<br>–><br>=:<br>:=<br>/ | Conjunctionoftwoormoresearchconditions<br>Disjunctionoftwoormoresearchconditions<br>Parenthesis:Groupingofsearchconditionsforevaluationornesting<br>Index:Integer(position)orstring(nameoralias),e.g.D[2],a[‘deprel’]etc.<br>Indexqualiﬁer,e.g.D[2:3](grandchild’sthirdchild)<br>Thedotoperatortoaccessthemembersofanobject<br>andtoformnodeaddresses<br>Theliteralvaluespeciﬁedwithinsinglequotes(e.g.‘agent’),<br>usuallyofmembers<br>Concatenation:Tojointogethertwoormoreliteralvaluesorvariables<br>EqualandNotEqual(LHS),basedonexactequalityofvalues<br>SimilarandNotSimilar(LHS),basedonsimilarity,e.g.usingregex<br>Valueassignmentoperator(RHS)<br>Actiontobeperformedonthenodesthatmatchedtheconditions<br>Thesourcesofthedata,e.g.thecorpusﬁles<br>Thedestinations,e.g.theﬁleswheretheresultshavetobestored<br>Aliasassignmentforconditions,returnvaluesandsources/destinations |\n| WildcardsandRanges |  |\n| Wildcard/Range | Remarks |\n| ?<br>.<br>*<br>@<br>0<br>– | Theﬁrstnodetomatch<br>Thelastnodetomatch<br>Anynodestomatch(disjunction)<br>Allnode(s)thatmatch(es),e.g.N[@],M[@](conjunction)<br>None(normalindicesstartfrom1)<br>Therangeofnodes,e.g.N[2-4],P[3-],D[-2]etc.andzisthelastnode. |",1]
["| Objects |  |\n| --- | --- |\n| Object | Remarks |\n| FandS<br>C<br>PandN<br>PrandNx<br>AandD<br>RandT<br>M | TheFile(document)andtheSentence<br>TheCurrentnode(thecentreofthenode-by-nodequeryprocessing)<br>ThePreviousandtheNextnodes<br>ThePrevioussiblingandtheNextsiblingnodes<br>TheAncestor(orparent)andtheDescendant(orchild)nodes<br>TheReferredandtheReferringnodes(threadnavigation)<br>Thenode(s)thatmatchedoneoftheconditions,e.g.M[p],pbeingtheconditionalias |\n| Members |  |\n| Member | Remarks |\n| l<br>t<br>a<br>v<br>f | Thelexicaldataforthenode<br>Thetag(e.g.POStag)ofthenode<br>Theattribute,withtheindexspeciﬁedwithinsquarebrackets,e.g.a[‘lex’]<br>Thelevel(distancefromtheroot)ofatreenode(0beingtheroot)<br>Booleanvaluetocheckifanodeisaleafnode |\n| OperatorsandValues |  |","| Variable | Description |\n| --- | --- |\n| cHdfsReadCost<br>cHdfsWriteCost<br>cLocalIOCost<br>cNetworkCost | ThecostforreadingfromHDFS<br>ThecostforwritingtoHDFS<br>ThecostforperformingI/Ofromthelocaldisk<br>Thenetworktransferringcost |\n| cMapCPUCost<br>cReduceCPUCost<br>cCombineCPUCost | TheCPUcostforexecutingthemapfunction<br>TheCPUcostforexecutingthereducefunction<br>TheCPUcostforexecutingthecombinefunction |\n| cPartitionCPUCost<br>cSerdeCPUCost<br>cSortCPUCost<br>cMergeCPUCost | TheCPUcostforpartitioning<br>TheCPUcostforserialization<br>TheCPUcostforsortingonkeys<br>TheCPUcostformerging |\n| cInUncomprCPUCost<br>cIntermUncomprCPUCost<br>cIntermComprCPUCost<br>cOutComprCPUCost | TheCPUcostforuncompressingtheinputdata<br>TheCPUcostforuncompressingtheintermediatedata<br>TheCPUcostforcompressingtheintermediatedata<br>TheCPUcostforcompressingtheoutputdata |",0]
["| Objects |  |\n| --- | --- |\n| Object | Remarks |","| FandS<br>C<br>PandN<br>PrandNx<br>AandD<br>RandT<br>M | TheFile(document)andtheSentence<br>TheCurrentnode(thecentreofthenode-by-nodequeryprocessing)<br>ThePreviousandtheNextnodes<br>ThePrevioussiblingandtheNextsiblingnodes<br>TheAncestor(orparent)andtheDescendant(orchild)nodes<br>TheReferredandtheReferringnodes(threadnavigation)<br>Thenode(s)thatmatchedoneoftheconditions,e.g.M[p],pbeingtheconditionalias |\n| --- | --- |\n| Members |  |\n| Member | Remarks |\n| l<br>t<br>a<br>v<br>f | Thelexicaldataforthenode<br>Thetag(e.g.POStag)ofthenode<br>Theattribute,withtheindexspeciﬁedwithinsquarebrackets,e.g.a[‘lex’]<br>Thelevel(distancefromtheroot)ofatreenode(0beingtheroot)<br>Booleanvaluetocheckifanodeisaleafnode |\n| OperatorsandValues |  |\n| Operator/Value | Remarks |\n| AND<br>OR<br>()<br>[]<br>:<br>.<br>‘’<br>+<br>=and!=<br>∼and!∼<br>=<br>–><br>=:<br>:=<br>/ | Conjunctionoftwoormoresearchconditions<br>Disjunctionoftwoormoresearchconditions<br>Parenthesis:Groupingofsearchconditionsforevaluationornesting<br>Index:Integer(position)orstring(nameoralias),e.g.D[2],a[‘deprel’]etc.<br>Indexqualiﬁer,e.g.D[2:3](grandchild’sthirdchild)<br>Thedotoperatortoaccessthemembersofanobject<br>andtoformnodeaddresses<br>Theliteralvaluespeciﬁedwithinsinglequotes(e.g.‘agent’),<br>usuallyofmembers<br>Concatenation:Tojointogethertwoormoreliteralvaluesorvariables<br>EqualandNotEqual(LHS),basedonexactequalityofvalues<br>SimilarandNotSimilar(LHS),basedonsimilarity,e.g.usingregex<br>Valueassignmentoperator(RHS)<br>Actiontobeperformedonthenodesthatmatchedtheconditions<br>Thesourcesofthedata,e.g.thecorpusﬁles<br>Thedestinations,e.g.theﬁleswheretheresultshavetobestored<br>Aliasassignmentforconditions,returnvaluesandsources/destinations |\n| WildcardsandRanges |  |\n| Wildcard/Range | Remarks |\n| ?<br>.<br>*<br>@<br>0<br>– | Theﬁrstnodetomatch<br>Thelastnodetomatch<br>Anynodestomatch(disjunction)<br>Allnode(s)thatmatch(es),e.g.N[@],M[@](conjunction)<br>None(normalindicesstartfrom1)<br>Therangeofnodes,e.g.N[2-4],P[3-],D[-2]etc.andzisthelastnode. |",1]
["| Objects |  |\n| --- | --- |\n| Object | Remarks |","| cPartitionCPUCost<br>cSerdeCPUCost<br>cSortCPUCost<br>cMergeCPUCost | TheCPUcostforpartitioning<br>TheCPUcostforserialization<br>TheCPUcostforsortingonkeys<br>TheCPUcostformerging |\n| --- | --- |\n| cInUncomprCPUCost<br>cIntermUncomprCPUCost<br>cIntermComprCPUCost<br>cOutComprCPUCost | TheCPUcostforuncompressingtheinputdata<br>TheCPUcostforuncompressingtheintermediatedata<br>TheCPUcostforcompressingtheintermediatedata<br>TheCPUcostforcompressingtheoutputdata |",0]
["| G-type | q | f | p | \\|Z(G)\\| | \\|W\\| |\n| --- | --- | --- | --- | --- | --- |\n| Ar | 1 | r+1 | 0 | r+1 | (r+1)! |","| Br | 2 | 2 | r | 2 | 2r! |\n| --- | --- | --- | --- | --- | --- |\n| Cr | 2 | 2 | r(r−1) | 2 | 2r! |\n| Dr | 1 | 4 | 0 | 4 | 2r! |",1]
["| G-type | q | f | p | \\|Z(G)\\| | \\|W\\| |\n| --- | --- | --- | --- | --- | --- |\n| Ar | 1 | r+1 | 0 | r+1 | (r+1)! |","| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| G-type | q | f | p | \\|Z(G)\\| | \\|W\\| |\n| --- | --- | --- | --- | --- | --- |\n| Ar | 1 | r+1 | 0 | r+1 | (r+1)! |\n| Br | 2 | 2 | r | 2 | 2r! |","| Cr | 2 | 2 | r(r−1) | 2 | 2r! |\n| --- | --- | --- | --- | --- | --- |\n| Dr | 1 | 4 | 0 | 4 | 2r! |",1]
["| G-type | q | f | p | \\|Z(G)\\| | \\|W\\| |\n| --- | --- | --- | --- | --- | --- |\n| Ar | 1 | r+1 | 0 | r+1 | (r+1)! |\n| Br | 2 | 2 | r | 2 | 2r! |","| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| Method | nC | Easy | Medium | Hard |\n| --- | --- | --- | --- | --- |\n| MTCNN | - | 0.848 | 0.825 | 0.598 |","| HR-ResNet101 | - | 0.925 | 0.910 | 0.806 |\n| --- | --- | --- | --- | --- |\n| APN24+RNet48 | 3 | 0.883 | 0.879 | 0.761 |\n| APN24+RNet48+RNet96 | 3 | 0.906 | 0.895 | 0.801 |",1]
["| Method | nC | Easy | Medium | Hard |\n| --- | --- | --- | --- | --- |\n| MTCNN | - | 0.848 | 0.825 | 0.598 |","| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| Method | nC | Easy | Medium | Hard |\n| --- | --- | --- | --- | --- |\n| MTCNN | - | 0.848 | 0.825 | 0.598 |\n| HR-ResNet101 | - | 0.925 | 0.910 | 0.806 |","| APN24+RNet48 | 3 | 0.883 | 0.879 | 0.761 |\n| --- | --- | --- | --- | --- |\n| APN24+RNet48+RNet96 | 3 | 0.906 | 0.895 | 0.801 |",1]
["| Method | nC | Easy | Medium | Hard |\n| --- | --- | --- | --- | --- |\n| MTCNN | - | 0.848 | 0.825 | 0.598 |\n| HR-ResNet101 | - | 0.925 | 0.910 | 0.806 |","| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| Name | MStype | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- | --- |\n| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 |","| c-fat500-10<br>c-fat500-1<br>c-fat500-2<br>c-fat500-5 | WMS<br>WMS<br>WMS<br>WMS | 2<br>112<br>12<br>4 | 57.79<br>0.03<br>0.16<br>0.16 | 11.62<br>0.06<br>0.11<br>0.11 |\n| --- | --- | --- | --- | --- |\n| MANNa27<br>MANNa45<br>MANNa81 | WMS<br>WMS<br>WMS | 1<br>1<br>1 | 1000<br>1000<br>1000 | 880.58<br>530.86<br>649.13 |\n| 1502.dir<br>29.dir<br>54.dir<br>8.dir | WPMS<br>WPMS<br>WPMS<br>WPMS | 1560<br>132<br>98<br>58 | 0.34<br>1000<br>4.14<br>0.03 | 10.67<br>28.09<br>0.32<br>0.05 |\n| 1502.log<br>29.log<br>404.log<br>54.log | WPMS<br>WPMS<br>WPMS<br>WPMS | 812<br>54<br>124<br>48 | 0.76<br>17.55<br>1000<br>2.37 | 0.71<br>0.82<br>64.24<br>0.16 |",1]
["| Name | MStype | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- | --- |\n| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 |","| Name | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- |\n| hamming10-2<br>hamming10-4<br>hamming6-4<br>hamming8-2<br>hamming8-4 | 81<br>1<br>437<br>85<br>253 | 1000<br>886.57<br>0.17<br>1000<br>0.36 | 0.19<br>496.79<br>0.15<br>0.21<br>0.11 |\n| MANNa27<br>MANNa45<br>MANNa81 | 85<br>79<br>79 | 1000<br>1000<br>1000 | 0.24<br>0.20<br>0.19 |\n| hole10<br>hole11<br>hole12<br>hole7<br>hole8<br>hole9 | 758<br>922<br>1102<br>362<br>478<br>610 | 42.11<br>510.90<br>1000<br>0.10<br>0.40<br>3.68 | 0.24<br>0.47<br>1.78<br>0.11<br>0.13<br>0.17 |\n| Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |\n| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 |",0]
["| Name | MStype | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- | --- |\n| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 |","| c-fat500-10<br>c-fat500-1<br>c-fat500-2<br>c-fat500-5 | WMS<br>WMS<br>WMS<br>WMS | 2<br>112<br>12<br>4 | 57.79<br>0.03<br>0.16<br>0.16 | 11.62<br>0.06<br>0.11<br>0.11 |\n| --- | --- | --- | --- | --- |\n| MANNa27<br>MANNa45<br>MANNa81 | WMS<br>WMS<br>WMS | 1<br>1<br>1 | 1000<br>1000<br>1000 | 880.58<br>530.86<br>649.13 |\n| 1502.dir<br>29.dir<br>54.dir<br>8.dir | WPMS<br>WPMS<br>WPMS<br>WPMS | 1560<br>132<br>98<br>58 | 0.34<br>1000<br>4.14<br>0.03 | 10.67<br>28.09<br>0.32<br>0.05 |\n| 1502.log<br>29.log<br>404.log<br>54.log | WPMS<br>WPMS<br>WPMS<br>WPMS | 812<br>54<br>124<br>48 | 0.76<br>17.55<br>1000<br>2.37 | 0.71<br>0.82<br>64.24<br>0.16 |",1]
["| Name | MStype | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- | --- |\n| ii32e3<br>ii32e4 | PMS<br>PMS | 1756<br>2060 | 94.40<br>175.07 | 37.63<br>129.06 |","| Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |\n| --- | --- | --- | --- |\n| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 |",0]
["| TestInput | OurR-DML | B-DML |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| RGB+Lidar(Type1.blank) | - | - | - | - | - | - |","| RGB+Lidar(Type2.occl.) | 83.31 | 82.23 | 74.41 | 80.50 | 77.37 | 68.89 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RGB+Lidar(Type3.illum.) | 90.62 | 89.06 | 80.04 | 89.70 | 87.22 | 78.59 |\n| RGB+Lidar(Type4.noise) | 83.10 | 73.34 | 65.67 | 78.15 | 66.52 | 58.25 |",1]
["| TestInput | OurR-DML | B-DML |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| RGB+Lidar(Type1.blank) | - | - | - | - | - | - |","| Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |\n| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |\n| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |\n| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 |",0]
["| TestInput | OurR-DML | B-DML |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| RGB+Lidar(Type1.blank) | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| RGB+Lidar(Type2.occl.) | 83.31 | 82.23 | 74.41 | 80.50 | 77.37 | 68.89 |\n| RGB+Lidar(Type3.illum.) | 90.62 | 89.06 | 80.04 | 89.70 | 87.22 | 78.59 |\n| RGB+Lidar(Type4.noise) | 83.10 | 73.34 | 65.67 | 78.15 | 66.52 | 58.25 |",1]
["| TestInput | OurR-DML | B-DML |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |\n| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 |",0]
["| x | Exponentd | Constraints |\n| --- | --- | --- |\n| Gold | 2+1 | (r,n)=1 |","| Kasami-Welch | 2−2+1 | (r,n)=1,nodd |\n| --- | --- | --- |\n| Welch | 2+3 | n=2r+1 |\n| Niho | 2+2−1<br>r(3r+1)/2<br>2+2−1 | n=2r+1,reven<br>n=2r+1,rodd |\n| Inverse | 2−1 | n=2r+1 |\n| Dobbertin | 2+2+2+2−1 | n=5r |",1]
["| x | Exponentd | Constraints |\n| --- | --- | --- |\n| Gold | 2+1 | (r,n)=1 |","| x1,1 | x1,2 | ... | ... | x1,N |\n| --- | --- | --- | --- | --- |\n| x2,1 | x2,2 | ... | ... | x2,N |\n| ... | ... | ... | ... | ... |\n| ... | ... | ... | ... | ... |\n| xM,1 | xM,2 | ... | ... | xM,N |",0]
["| x | Exponentd | Constraints |\n| --- | --- | --- |\n| Gold | 2+1 | (r,n)=1 |","| Kasami-Welch | 2−2+1 | (r,n)=1,nodd |\n| --- | --- | --- |\n| Welch | 2+3 | n=2r+1 |\n| Niho | 2+2−1<br>r(3r+1)/2<br>2+2−1 | n=2r+1,reven<br>n=2r+1,rodd |\n| Inverse | 2−1 | n=2r+1 |\n| Dobbertin | 2+2+2+2−1 | n=5r |",1]
["| x | Exponentd | Constraints |\n| --- | --- | --- |\n| Gold | 2+1 | (r,n)=1 |","| ... | ... | ... | ... | ... |\n| --- | --- | --- | --- | --- |\n| ... | ... | ... | ... | ... |\n| xM,1 | xM,2 | ... | ... | xM,N |",0]
["| Parameter | Setting |\n| --- | --- |\n| Spacedomain(m×m) | 10,000×10,000 |\n| Numberofobjects | 100K,200K,...,500K |\n| Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |\n| kNN-k | 10,20,30,...,50 |\n| Querypredicttime(ts) | 0,30,60,...,120 |","| Nodesize(byte) | 1K,2K,4K,···,16K |\n| --- | --- |\n| Datasets | SEO,LD,BOS,SZ |",1]
["| Parameter | Setting |\n| --- | --- |\n| Spacedomain(m×m) | 10,000×10,000 |\n| Numberofobjects | 100K,200K,...,500K |\n| Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |\n| kNN-k | 10,20,30,...,50 |\n| Querypredicttime(ts) | 0,30,60,...,120 |","| Phase | Step | RT(sec) |\n| --- | --- | --- |\n| LoadTime | LoadingModel | 30.50 |\n| LoadTime | UDF:EmbedTuples | 55.00 |\n| LoadTime | UDF:EmbedSentences | 150.00 |\n| LoadTime | CreateIndexforTuples | 0.04 |\n| LoadTime | CreateIndexforSentences | 3.07 |\n| LoadTime | Sumoverallsteps | 208.1 |\n| QueryTime | CrossJoinTop10 | 115.9 |\n| QueryTime | UDF:QueryNNTop10Sent. | 9.60 |\n| QueryTime | UDF:QueryNNTop10Tuples | 29.15 |",0]
["| Parameter | Setting |\n| --- | --- |\n| Spacedomain(m×m) | 10,000×10,000 |\n| Numberofobjects | 100K,200K,...,500K |","| Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |\n| --- | --- |\n| kNN-k | 10,20,30,...,50 |\n| Querypredicttime(ts) | 0,30,60,...,120 |\n| Nodesize(byte) | 1K,2K,4K,···,16K |\n| Datasets | SEO,LD,BOS,SZ |",1]
["| Parameter | Setting |\n| --- | --- |\n| Spacedomain(m×m) | 10,000×10,000 |\n| Numberofobjects | 100K,200K,...,500K |","| QueryTime | UDF:QueryNNTop10Sent. | 9.60 |\n| --- | --- | --- |\n| QueryTime | UDF:QueryNNTop10Tuples | 29.15 |",0]
["| Problem | Conﬁguration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |\n| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |\n| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |","| #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |\n| --- | --- | --- | --- | --- | --- | --- |\n| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |\n| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |\n| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |\n| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. |  |  |  |  |  |  |",1]
["| Problem | Conﬁguration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |\n| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |\n| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |","| Problem | VR | Q | Q’ | No.vehicles | No.Routes |\n| --- | --- | --- | --- | --- | --- |\n| 11eil51 | 2 | 160 | 320 | 6 | 3 |\n| 16eil76A | 2 | 140 | 280 | 10 | 5 |\n| 16eil76B | 3 | 100 | 300 | 15 | 5 |\n| 16eil76C | 2 | 180 | 360 | 8 | 4 |\n| 16eil76D | 2 | 220 | 440 | 6 | 3 |\n| 21eil101A | 2 | 200 | 400 | 8 | 4 |\n| 21eil101B | 2 | 112 | 224 | 14 | 7 |",0]
["| Problem | Conﬁguration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |","| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |\n| #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |\n| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |\n| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |\n| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |\n| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. |  |  |  |  |  |  |",1]
["| Problem | Conﬁguration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |","| 16eil76C | 2 | 180 | 360 | 8 | 4 |\n| --- | --- | --- | --- | --- | --- |\n| 16eil76D | 2 | 220 | 440 | 6 | 3 |\n| 21eil101A | 2 | 200 | 400 | 8 | 4 |\n| 21eil101B | 2 | 112 | 224 | 14 | 7 |",0]
["| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |\n| --- | --- | --- | --- | --- |\n| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) |","| 85.50(85.4685.54) | 85.62(85.5685.72) | 85.47(85.1985.58) | 85.35(85.0685.52) | 85.02(84.6485.31) |\n| --- | --- | --- | --- | --- |\n| 93.21(93.1393.31) | 93.19(93.0793.34) | 93.20(93.0393.39) | 92.67(92.4092.98) | 91.27(91.1691.43) |\n| 91.41(91.2291.66) | 91.62(91.5191.70) | 91.56(91.4691.68) | 91.41(91.0191.64) | 91.03(90.8291.23) |\n| 84.21(83.8184.62) | 83.88(83.5484.11) | 83.97(83.7384.16) | 83.97(83.7584.18) | 83.47(82.8683.72) |\n| 89.40(89.1589.56) | 89.45(89.2689.60) | 89.14(89.0889.20) | 88.86(88.7089.05) | 87.88(87.7188.18) |",1]
["| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |\n| --- | --- | --- | --- | --- |\n| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) |","| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |\n| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) |",0]
["| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |\n| --- | --- | --- | --- | --- |\n| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) |\n| 85.50(85.4685.54) | 85.62(85.5685.72) | 85.47(85.1985.58) | 85.35(85.0685.52) | 85.02(84.6485.31) |\n| 93.21(93.1393.31) | 93.19(93.0793.34) | 93.20(93.0393.39) | 92.67(92.4092.98) | 91.27(91.1691.43) |","| 91.41(91.2291.66) | 91.62(91.5191.70) | 91.56(91.4691.68) | 91.41(91.0191.64) | 91.03(90.8291.23) |\n| --- | --- | --- | --- | --- |\n| 84.21(83.8184.62) | 83.88(83.5484.11) | 83.97(83.7384.16) | 83.97(83.7584.18) | 83.47(82.8683.72) |\n| 89.40(89.1589.56) | 89.45(89.2689.60) | 89.14(89.0889.20) | 88.86(88.7089.05) | 87.88(87.7188.18) |",1]
["| 81.16(80.8081.57) | 81.19(80.9881.46) | 81.13(80.5881.58) | 81.08(81.0181.13) | 81.06(80.4981.48) |\n| --- | --- | --- | --- | --- |\n| 45.97(45.6546.43) | 46.19(45.7146.64) | 46.28(45.8346.93) | 46.34(46.0446.98) | 44.22(43.8744.78) |\n| 85.50(85.4685.54) | 85.62(85.5685.72) | 85.47(85.1985.58) | 85.35(85.0685.52) | 85.02(84.6485.31) |\n| 93.21(93.1393.31) | 93.19(93.0793.34) | 93.20(93.0393.39) | 92.67(92.4092.98) | 91.27(91.1691.43) |","| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| --- | --- | --- | --- | --- | --- |\n| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) |",0]
["| Algorithm | 5000cases | 50cases |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |\n| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |\n| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 |","| MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |\n| --- | --- | --- | --- | --- |\n| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |\n| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 |",1]
["| Algorithm | 5000cases | 50cases |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |\n| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |\n| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 |","| Algorithm | 5000cases | 50cases |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |\n| MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |\n| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |\n| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |\n| CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |\n| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |",0]
["| Algorithm | 5000cases | 50cases |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |\n| --- | --- | --- | --- | --- |\n| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |\n| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 |\n| MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |\n| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |\n| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 |",1]
["| Algorithm | 5000cases | 50cases |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |\n| --- | --- | --- | --- | --- | --- | --- |\n| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |\n| CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |\n| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |",0]
["| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |\n| --- | --- | --- | --- | --- |\n| ataeru | give | 136 | 4 | 66.9 |\n| kakeru | hang | 160 | 29 | 25.6 |\n| kuwaeru | add | 167 | 5 | 53.9 |\n| noru | ride | 126 | 10 | 45.2 |","| osameru | govern | 108 | 8 | 25.0 |\n| --- | --- | --- | --- | --- |\n| tsukuru | make | 126 | 15 | 19.8 |\n| toru | take | 84 | 29 | 26.2 |\n| umu | bearoﬀspring | 90 | 2 | 81.1 |\n| wakaru | understand | 60 | 5 | 48.3 |\n| yameru | stop | 54 | 2 | 59.3 |\n| total | — | 1111 | — | 43.7 |",1]
["| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |\n| --- | --- | --- | --- | --- |\n| ataeru | give | 136 | 4 | 66.9 |\n| kakeru | hang | 160 | 29 | 25.6 |\n| kuwaeru | add | 167 | 5 | 53.9 |\n| noru | ride | 126 | 10 | 45.2 |","|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |\n| --- | --- | --- | --- | --- |\n| ataeru | give | 136 | 4 | 66.9 |\n| kakeru | hang | 160 | 29 | 25.6 |\n| kuwaeru | add | 167 | 5 | 53.9 |\n| noru | ride | 126 | 10 | 45.2 |\n| osameru | govern | 108 | 8 | 25.0 |\n| tsukuru | make | 126 | 15 | 19.8 |\n| toru | take | 84 | 29 | 26.2 |\n| umu | bearoﬀspring | 90 | 2 | 81.1 |\n| wakaru | understand | 60 | 5 | 48.3 |","| yameru | stop | 54 | 2 | 59.3 |\n| --- | --- | --- | --- | --- |\n| total | — | 1111 | — | 43.7 |",1]
["| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |\n| --- | --- | --- | --- | --- |\n| ataeru | give | 136 | 4 | 66.9 |\n| kakeru | hang | 160 | 29 | 25.6 |\n| kuwaeru | add | 167 | 5 | 53.9 |\n| noru | ride | 126 | 10 | 45.2 |\n| osameru | govern | 108 | 8 | 25.0 |\n| tsukuru | make | 126 | 15 | 19.8 |\n| toru | take | 84 | 29 | 26.2 |\n| umu | bearoﬀspring | 90 | 2 | 81.1 |\n| wakaru | understand | 60 | 5 | 48.3 |","| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |\n| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |","| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |\n| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",1]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |\n| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |","| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5306 | 0.546 | 0.5832 | 0.5832 | Deepwalk | 0.4755 | 0.4981 | 0.4981 |\n| Line | 0.4695 | 0.6757 | 0.6908 | 0.7044 | Line | 0.4695 | 0.6112 | 0.6355 |\n| Node2vec | 0.5380 | 0.5524 | 0.5692 | 0.6029 | Node2vec | 0.4633 | 0.4828 | 0.5108 |\n| TextOnly | 0.7030 | 0.7131 | 0.7121 | 0.7039 | TextOnly | 0.6305 | 0.6559 | 0.6683 |\n| Naivecombination | 0.7070 | 0.7042 | 0.7138 | 0.7012 | Naivecombination | 0.6684 | 0.6665 | 0.6779 |\n| TADW | 0.3952 | 0.5139 | 0.6751 | 0.718 | TADW | 0.3121 | 0.4465 | 0.6156 |\n| Deepwalk(hete) | 0.7077 | 0.7114 | 0.7213 | 0.6993 | Deepwalk(hete) | 0.6332 | 0.6531 | 0.6725 |\n| Line(hete) | 0.7159 | 0.7228 | 0.7165 | 0.7065 | Line(hete) | 0.6408 | 0.6569 | 0.655 |\n| Node2vec(hete) | 0.7185 | 0.7219 | 0.7222 | 0.7077 | Node2vec(hete) | 0.6487 | 0.6645 | 0.6764 |\n| GERI | 0.7427 | 0.7472 | 0.7457 | 0.7358 | GERI | 0.6794 | 0.6962 | 0.7004 |",0]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |\n| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |\n| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |","| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",1]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |\n| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |\n| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |","| Node2vec(hete) | 0.7185 | 0.7219 | 0.7222 | 0.7077 | Node2vec(hete) | 0.6487 | 0.6645 | 0.6764 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GERI | 0.7427 | 0.7472 | 0.7457 | 0.7358 | GERI | 0.6794 | 0.6962 | 0.7004 |",0]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:1,Stridesize:1,featuremaps:11 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:108 |\n| conv | Filtersize:1,Stridesize:1,featuremaps:8 |","| conv | Filtersize:6,Stridesize:3,featuremaps:92 |\n| --- | --- |\n| full | Neurons:906 |\n| full | Neurons:2 |",1]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:1,Stridesize:1,featuremaps:11 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:108 |\n| conv | Filtersize:1,Stridesize:1,featuremaps:8 |","| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:2,Stridesize:1,featuremaps:26 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:82 |\n| conv | Filtersize:8,Stridesize:4,featuremaps:114 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:107 |\n| full | Neurons:1686 |\n| full | Neurons:10 |",0]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:1,Stridesize:1,featuremaps:11 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:108 |\n| conv | Filtersize:1,Stridesize:1,featuremaps:8 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:92 |","| full | Neurons:906 |\n| --- | --- |\n| full | Neurons:2 |",1]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:1,Stridesize:1,featuremaps:11 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:108 |\n| conv | Filtersize:1,Stridesize:1,featuremaps:8 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:92 |","| conv | Filtersize:8,Stridesize:4,featuremaps:114 |\n| --- | --- |\n| conv | Filtersize:7,Stridesize:4,featuremaps:107 |\n| full | Neurons:1686 |\n| full | Neurons:10 |",0]
["| Words | Similarity |\n| --- | --- |\n| jewel-gem | 0.908008550956 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.475813717007 |\n| jewel-used | 0.0 |\n| jewel-jewellery | 0.509332774797 |\n| stone-gem | 0.180732071642 |\n| stone-jewel | 0.217431543606 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-jewellery | 0.220266070205 |\n| used-gem | 0.0 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-jewellery | 0.0 |\n| decorate-gem | 0.0 |\n| decorate-jewel | 0.0 |\n| decorate-stone | 0.0 |\n| decorate-used | 0.0 |\n| decorate-jewellery | 0.0 |\n| valuable-gem | 0.0 |\n| valuable-jewel | 0.0 |\n| valuable-stone | 0.0 |\n| valuable-used | 0.0 |\n| valuable-jewellery | 0.0 |\n| things-gem | 0.284462910289 |\n| things-jewel | 0.406309448212 |\n| things-stone | 0.198770510639 |\n| things-used | 0.0 |\n| things-jewellery | 0.346687374295 |\n| wear-gem | 0.0 |\n| wear-jewel | 0.0 |\n| wear-stone | 0.0 |\n| wear-used | 0.0 |\n| wear-jewellery | 0.0 |\n| rings-gem | 0.485032351325 |\n| rings-jewel | 0.456849659596 |\n| rings-stone | 0.100270000776 |\n| rings-used | 0.0 |\n| rings-jewellery | 0.592019999822 |\n| necklaces-gem | 0.669319889871 |\n| necklaces-jewel | 0.41718607131 |\n| necklaces-stone | 0.0856785820827 |","| necklaces-used | 0.0 |\n| --- | --- |\n| necklaces-<br>jewellery | 0.81750915958 |",1]
["| Words | Similarity |\n| --- | --- |\n| jewel-gem | 0.908008550956 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.475813717007 |\n| jewel-used | 0.0 |\n| jewel-jewellery | 0.509332774797 |\n| stone-gem | 0.180732071642 |\n| stone-jewel | 0.217431543606 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-jewellery | 0.220266070205 |\n| used-gem | 0.0 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-jewellery | 0.0 |\n| decorate-gem | 0.0 |\n| decorate-jewel | 0.0 |\n| decorate-stone | 0.0 |\n| decorate-used | 0.0 |\n| decorate-jewellery | 0.0 |\n| valuable-gem | 0.0 |\n| valuable-jewel | 0.0 |\n| valuable-stone | 0.0 |\n| valuable-used | 0.0 |\n| valuable-jewellery | 0.0 |\n| things-gem | 0.284462910289 |\n| things-jewel | 0.406309448212 |\n| things-stone | 0.198770510639 |\n| things-used | 0.0 |\n| things-jewellery | 0.346687374295 |\n| wear-gem | 0.0 |\n| wear-jewel | 0.0 |\n| wear-stone | 0.0 |\n| wear-used | 0.0 |\n| wear-jewellery | 0.0 |\n| rings-gem | 0.485032351325 |\n| rings-jewel | 0.456849659596 |\n| rings-stone | 0.100270000776 |\n| rings-used | 0.0 |\n| rings-jewellery | 0.592019999822 |\n| necklaces-gem | 0.669319889871 |\n| necklaces-jewel | 0.41718607131 |\n| necklaces-stone | 0.0856785820827 |","| Words | Similarity |\n| --- | --- |\n| gem-jewel | 0.908008550956 |\n| gem-stone | 0.180732071642 |\n| gem-used | 0.0 |\n| gem-decorate | 0.0 |\n| gem-valuable | 0.0 |\n| gem-things | 0.284462910289 |\n| gem-wear | 0.0 |\n| gem-rings | 0.485032351325 |\n| gem-necklaces | 0.669319889871 |\n| jewel-jewel | 0.997421032224 |\n| jewel-stone | 0.217431543606 |\n| jewel-used | 0.0 |\n| jewel-decorate | 0.0 |\n| jewel-valuable | 0.0 |\n| jewel-things | 0.406309448212 |\n| jewel-wear | 0.0 |\n| jewel-rings | 0.456849659596 |\n| jewel-necklaces | 0.41718607131 |\n| stone-jewel | 0.475813717007 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-decorate | 0.0 |\n| stone-valuable | 0.0 |\n| stone-things | 0.198770510639 |\n| stone-wear | 0.0 |\n| stone-rings | 0.100270000776 |\n| stone-necklaces | 0.0856785820827 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-decorate | 0.0 |\n| used-valuable | 0.0 |\n| used-things | 0.0 |\n| used-wear | 0.0 |\n| used-rings | 0.0 |\n| used-necklaces | 0.0 |\n| jewellery-jewel | 0.509332774797 |\n| jewellery-stone | 0.220266070205 |\n| jewellery-used | 0.0 |\n| jewellery-decorate | 0.0 |\n| jewellery-valuable | 0.0 |\n| jewellery-things | 0.346687374295 |\n| jewellery-wear | 0.0 |\n| jewellery-rings | 0.592019999822 |\n| jewellery-<br>necklaces | 0.81750915958 |",0]
["| Words | Similarity |\n| --- | --- |\n| jewel-gem | 0.908008550956 |\n| jewel-jewel | 0.997421032224 |","| jewel-stone | 0.475813717007 |\n| --- | --- |\n| jewel-used | 0.0 |\n| jewel-jewellery | 0.509332774797 |\n| stone-gem | 0.180732071642 |\n| stone-jewel | 0.217431543606 |\n| stone-stone | 0.901187866267 |\n| stone-used | 0.0 |\n| stone-jewellery | 0.220266070205 |\n| used-gem | 0.0 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-jewellery | 0.0 |\n| decorate-gem | 0.0 |\n| decorate-jewel | 0.0 |\n| decorate-stone | 0.0 |\n| decorate-used | 0.0 |\n| decorate-jewellery | 0.0 |\n| valuable-gem | 0.0 |\n| valuable-jewel | 0.0 |\n| valuable-stone | 0.0 |\n| valuable-used | 0.0 |\n| valuable-jewellery | 0.0 |\n| things-gem | 0.284462910289 |\n| things-jewel | 0.406309448212 |\n| things-stone | 0.198770510639 |\n| things-used | 0.0 |\n| things-jewellery | 0.346687374295 |\n| wear-gem | 0.0 |\n| wear-jewel | 0.0 |\n| wear-stone | 0.0 |\n| wear-used | 0.0 |\n| wear-jewellery | 0.0 |\n| rings-gem | 0.485032351325 |\n| rings-jewel | 0.456849659596 |\n| rings-stone | 0.100270000776 |\n| rings-used | 0.0 |\n| rings-jewellery | 0.592019999822 |\n| necklaces-gem | 0.669319889871 |\n| necklaces-jewel | 0.41718607131 |\n| necklaces-stone | 0.0856785820827 |\n| necklaces-used | 0.0 |\n| necklaces-<br>jewellery | 0.81750915958 |",1]
["| Words | Similarity |\n| --- | --- |\n| jewel-gem | 0.908008550956 |\n| jewel-jewel | 0.997421032224 |","| stone-rings | 0.100270000776 |\n| --- | --- |\n| stone-necklaces | 0.0856785820827 |\n| used-jewel | 0.0 |\n| used-stone | 0.0 |\n| used-used | 0.42189900525 |\n| used-decorate | 0.0 |\n| used-valuable | 0.0 |\n| used-things | 0.0 |\n| used-wear | 0.0 |\n| used-rings | 0.0 |\n| used-necklaces | 0.0 |\n| jewellery-jewel | 0.509332774797 |\n| jewellery-stone | 0.220266070205 |\n| jewellery-used | 0.0 |\n| jewellery-decorate | 0.0 |\n| jewellery-valuable | 0.0 |\n| jewellery-things | 0.346687374295 |\n| jewellery-wear | 0.0 |\n| jewellery-rings | 0.592019999822 |\n| jewellery-<br>necklaces | 0.81750915958 |",0]
["| Model | RMSE |\n| --- | --- |\n| Poissonregression | 17.81 |\n| Linearregression | 15.1 |\n| SVR | 7.4 |\n| ARMA(0,1) | 12.44 |\n| ARMA(0,2) | 12.42 |\n| ARMA(1,0) | 12.03 |\n| ARMA(1,1) | 12.03 |\n| ARMA(1,2) | 9.88 |\n| ARMA(2,0) | 12.03 |","| ARMA(2,1) | 10.53 |\n| --- | --- |\n| ARMA(2,2) | 11.15 |",1]
["| Model | RMSE |\n| --- | --- |\n| Poissonregression | 17.81 |\n| Linearregression | 15.1 |\n| SVR | 7.4 |\n| ARMA(0,1) | 12.44 |\n| ARMA(0,2) | 12.42 |\n| ARMA(1,0) | 12.03 |\n| ARMA(1,1) | 12.03 |\n| ARMA(1,2) | 9.88 |\n| ARMA(2,0) | 12.03 |","|  | HR | s=3 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 |  |  |\n| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |\n| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |\n| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |\n|  | HR | s=6 |  |  |  |  |  |  |\n| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 |  |  |\n| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |\n| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |\n| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |\n|  | HR | s=12 |  |  |  |  |  |  |\n| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 |  |  |\n| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |\n| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |\n| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 |",0]
["| Model | RMSE |\n| --- | --- |\n| Poissonregression | 17.81 |","| Linearregression | 15.1 |\n| --- | --- |\n| SVR | 7.4 |\n| ARMA(0,1) | 12.44 |\n| ARMA(0,2) | 12.42 |\n| ARMA(1,0) | 12.03 |\n| ARMA(1,1) | 12.03 |\n| ARMA(1,2) | 9.88 |\n| ARMA(2,0) | 12.03 |\n| ARMA(2,1) | 10.53 |\n| ARMA(2,2) | 11.15 |",1]
["| Model | RMSE |\n| --- | --- |\n| Poissonregression | 17.81 |","| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |\n| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |\n| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |\n|  | HR | s=12 |  |  |  |  |  |  |\n| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 |  |  |\n| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |\n| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |\n| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 |",0]
["| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |\n| --- | --- | --- | --- | --- | --- |\n| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 |\n| Angel | 11/30/2001 | 12/09/2005 | 4.0 | 341 | 277 |\n| Baryon | 02/25/2002 | 08/25/2005 | 3.5 | 73 | 62 |","| BoardGame | 11/04/2001 | 12/30/2004 | 3.2 | 220 | 155 |\n| --- | --- | --- | --- | --- | --- |\n| BuckminsterFuller | 12/13/2001 | 07/14/2004 | 2.6 | 65 | 55 |\n| CenterforDisease<br>ControlandPrevention | 10/16/2001 | 03/05/2006 | 4.4 | 65 | 58 |\n| ClassicalMechanics | 06/06/2002 | 08/13/2006 | 4.2 | 202 | 165 |\n| DartmouthCollege | 10/01/2001 | 08/26/2004 | 2.9 | 70 | 55 |\n| ErinBrockovich | 09/24/2001 | 02/02/2006 | 4.4 | 59 | 54 |\n| Total |  |  | 31.7 | 1167 | 943 |\n| Average |  |  | 3.5 | 129.7 | 104.8 |",1]
["| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |\n| --- | --- | --- | --- | --- | --- |\n| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 |\n| Angel | 11/30/2001 | 12/09/2005 | 4.0 | 341 | 277 |\n| Baryon | 02/25/2002 | 08/25/2005 | 3.5 | 73 | 62 |","|  | Activities | Units | Segments | Clips | Duration | Setting | Persons |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |\n| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |\n| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |\n| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |\n| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |\n| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |\n| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |\n| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |\n| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 |",0]
["| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |\n| --- | --- | --- | --- | --- | --- |\n| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 |","| Angel | 11/30/2001 | 12/09/2005 | 4.0 | 341 | 277 |\n| --- | --- | --- | --- | --- | --- |\n| Baryon | 02/25/2002 | 08/25/2005 | 3.5 | 73 | 62 |\n| BoardGame | 11/04/2001 | 12/30/2004 | 3.2 | 220 | 155 |\n| BuckminsterFuller | 12/13/2001 | 07/14/2004 | 2.6 | 65 | 55 |\n| CenterforDisease<br>ControlandPrevention | 10/16/2001 | 03/05/2006 | 4.4 | 65 | 58 |\n| ClassicalMechanics | 06/06/2002 | 08/13/2006 | 4.2 | 202 | 165 |\n| DartmouthCollege | 10/01/2001 | 08/26/2004 | 2.9 | 70 | 55 |\n| ErinBrockovich | 09/24/2001 | 02/02/2006 | 4.4 | 59 | 54 |\n| Total |  |  | 31.7 | 1167 | 943 |\n| Average |  |  | 3.5 | 129.7 | 104.8 |",1]
["| Articletitle | StartDate<br>(MM/DD/YYYY) | EndDate<br>(MM/DD/YYYY) | Duration<br>(years) | Edits | Unique<br>Editors |\n| --- | --- | --- | --- | --- | --- |\n| Aikodo | 11/29/2001 | 06/13/2004 | 2.5 | 72 | 62 |","| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |\n| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |\n| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |\n| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |\n| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 |",0]
["| ColumnName | Type |\n| --- | --- |\n| indexdimension1 | typeinbasetable |","| indexdimension2 | typeinbasetable |\n| --- | --- |\n| indexdimension3 | typeinbasetable |\n| bucketname | string |\n| offset | array<bigint> |",1]
["| ColumnName | Type |\n| --- | --- |\n| indexdimension1 | typeinbasetable |","| Tables | DatasetSize |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 65000 | 101000 | 219500 | 300000 | 466737 |\n| Nodes | 982212 | 1523732 | 3360798 | 4598454 | 7190330 |\n| Relationships | 153477291 | 183955761 | 285778449 | 375437997 | 490033038 |\n| Properties | 384189475 | 461537287 | 719874720 | 946265404 | 1238579332 |",0]
["| ColumnName | Type |\n| --- | --- |\n| indexdimension1 | typeinbasetable |\n| indexdimension2 | typeinbasetable |\n| indexdimension3 | typeinbasetable |","| bucketname | string |\n| --- | --- |\n| offset | array<bigint> |",1]
["| ColumnName | Type |\n| --- | --- |\n| indexdimension1 | typeinbasetable |\n| indexdimension2 | typeinbasetable |\n| indexdimension3 | typeinbasetable |","| Relationships | 153477291 | 183955761 | 285778449 | 375437997 | 490033038 |\n| --- | --- | --- | --- | --- | --- |\n| Properties | 384189475 | 461537287 | 719874720 | 946265404 | 1238579332 |",0]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) |","|  | LRLR(RR)LR(SDB)LR(RM) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2742(1.14e-16)0.3130(0.011)0.2745(0.010)0.2966(0.008)<br>0.1468(9.99e-18)0.3025(0.040)0.0034(0.640)0.0732(0.024)<br>0.1971(0.036)0.3213(0.035)0.8596(0.067)0.2117(0.036) |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) |",1]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) |","|  | SVMSVM(RR)SVM(SDB)SVM(RM)CND |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2823(0)0.2778(0.025)0.2979(0.022)0.3000(0.017)0.2757<br>0.0886(4.2e-17)0.0732(0.066)0.0266(0.085)0.0445(0.028)0.0327<br>0.6756(0.081)0.7827(0.054)0.8619(0.041)0.6232(0.070)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM) |\n| labelerror<br>bias<br>RRB | 0.2541(0.005)0.2656(0.020)0.2685(0.021)0.2625(0.011)<br>0.1383(0.014)0.0095(0.064)0.0142(0.219)0.0202(0.566)<br>0.3070(0.067)0.8564(0.045)0.8687(0.042)0.6741(0.045) |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |",0]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) |\n|  | LRLR(RR)LR(SDB)LR(RM) |","| labelerror<br>bias<br>RRB | 0.2742(1.14e-16)0.3130(0.011)0.2745(0.010)0.2966(0.008)<br>0.1468(9.99e-18)0.3025(0.040)0.0034(0.640)0.0732(0.024)<br>0.1971(0.036)0.3213(0.035)0.8596(0.067)0.2117(0.036) |\n| --- | --- |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.2690(0.004)0.3088(0.009)0.2990(0.008)0.2860(0.019)0.2687(0.008)<br>0.0966(0.020)0.2123(0.013)0.0140(0.017)0.0180(0.037)0.0463(0.016)<br>0.2864(0.057)0.3996(0.105)0.4027(0.061)0.3325(0.060)0.2971(0.028) |",1]
["|  | SVMSVM(RR)SVM(SDB)SVM(RM) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2718(5.7e-17)0.2793(0.009)0.2716(0.013)0.2876(0.015)<br>0.0550(1.4e-17)0.1460(0.017)0.0106(0.035)0.0260(0.047)<br>0.2424(0.045)0.2588(0.009)0.3064(0.042)0.2552(0.032) |\n|  | LRLR(RR)LR(SDB)LR(RM) |","|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.2602(0.009)0.2429(0.010)0.2745(0.010)0.2637(0.019)0.2859(0.016)<br>0.2617(0.272)0.0376(0.044)0.0034(0.064)0.0391(0.023)0.0093(0.035)<br>0.6774(0.219)0.8629(0.051)0.8596(0.067)0.6965(0.037)0.6879(0.042) |",0]
["|  | #ofvideos | Averageframes | Datasetlength |\n| --- | --- | --- | --- |\n| UCSDPed1 | 70 | 201 | 5min |","| UCSDPed2 | 28 | 163 | 5min |\n| --- | --- | --- | --- |\n| SubwayEntrance | 1 | 121,749 | 1.5hours |\n| SubwaExit | 1 | 64,901 | 1.5hours |\n| Avenue | 37 | 839 | 30min |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",1]
["|  | #ofvideos | Averageframes | Datasetlength |\n| --- | --- | --- | --- |\n| UCSDPed1 | 70 | 201 | 5min |","| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 1800 | 1800 | 1800 | 1800 |\n| Min | 48s | 62s | 33s | 62s |\n| Max(=total) | 418s | 558s | 499s | 279s |\n| Avg | 244s | 181s | 267s | 165s |\n| Var | 10,061 | 10,376 | 17,460 | 4,107 |\n| SD | 100 | 102 | 132 | 65 |\n| 75thperc. | 330s | 221s | 381s | 220s |\n| 95thperc. | 398s | 440s | 471s | 265s |",0]
["|  | #ofvideos | Averageframes | Datasetlength |\n| --- | --- | --- | --- |\n| UCSDPed1 | 70 | 201 | 5min |","| UCSDPed2 | 28 | 163 | 5min |\n| --- | --- | --- | --- |\n| SubwayEntrance | 1 | 121,749 | 1.5hours |\n| SubwaExit | 1 | 64,901 | 1.5hours |\n| Avenue | 37 | 839 | 30min |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",1]
["|  | #ofvideos | Averageframes | Datasetlength |\n| --- | --- | --- | --- |\n| UCSDPed1 | 70 | 201 | 5min |","| Var | 10,061 | 10,376 | 17,460 | 4,107 |\n| --- | --- | --- | --- | --- |\n| SD | 100 | 102 | 132 | 65 |\n| 75thperc. | 330s | 221s | 381s | 220s |\n| 95thperc. | 398s | 440s | 471s | 265s |",0]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |\n| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |\n| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |","| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |",1]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |\n| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |\n| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |","| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=128)<br>ESP+FM(D=128) | 7.054(±5.320)<br>7.055(±5.321) | 7.051(±5.318)<br>7.054(±2.664) | 7.058(±5.318)<br>7.059(±5.318) | 7.058(±5.319)<br>7.059(±5.320) |\n| ESP+SFM(D=512)<br>ESP+FM(D=512) | 3.523(±2.662)<br>3.526(±2.665) | 3.526(±2.663)<br>3.526(±2.666) | 3.526(±2.662)<br>3.526(±2.663) | 3.525(±2.662)<br>3.526(±2.663) |\n| ESP+SFM(D=2048)<br>ESP+FM(D=2048) | 1.762(±1.332)<br>1.763(±1.332) | 1.762(±1.332)<br>1.762(±1.332) | 1.762(±1.332)<br>1.762(±1.331) | 1.762(±1.332)<br>1.763(±1.331) |\n| ESP+SFM(D=8192)<br>ESP+FM(D=8192) | 0.881(±0.666)<br>0.880(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.879(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) |\n| ESP+SFM(D=16384)<br>ESP+FM(D=16384) | 0.623(±0.471)<br>0.628(±0.470) | 0.623(±0.470)<br>0.623(±0.471) | 0.621(±0.470)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.471) |",0]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |\n| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |","| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |\n| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |",1]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |\n| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |","| ESP+SFM(D=8192)<br>ESP+FM(D=8192) | 0.881(±0.666)<br>0.880(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.879(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=16384)<br>ESP+FM(D=16384) | 0.623(±0.471)<br>0.628(±0.470) | 0.623(±0.470)<br>0.623(±0.471) | 0.621(±0.470)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.471) |",0]
["|  | ModelcheckingTA | BDIagents |\n| --- | --- | --- |\n| CooperativeManufacturingAssistant |  |  |\n| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 725<br>53(72)<br>≈10.5hrs<br>0.001s<br>33.36s | 348<br>79<br>≈6hrs<br>5s<br>5s |","| HomeCareAssistant |  |  |\n| --- | --- | --- |\n| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 722<br>42(67)<br>≈5.5hrs<br>0.001s<br>2.775s | 131<br>35<br>≈3hrs<br>1s<br>1s |",1]
["|  | ModelcheckingTA | BDIagents |\n| --- | --- | --- |\n| CooperativeManufacturingAssistant |  |  |\n| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 725<br>53(72)<br>≈10.5hrs<br>0.001s<br>33.36s | 348<br>79<br>≈6hrs<br>5s<br>5s |","|  | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |\n| --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |\n| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |\n| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |\n| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |\n| 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |\n| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |\n| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |\n| 6 | Othercommands | Idle | 13 | 2 | 12 |",0]
["|  | ModelcheckingTA | BDIagents |\n| --- | --- | --- |\n| CooperativeManufacturingAssistant |  |  |","| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 725<br>53(72)<br>≈10.5hrs<br>0.001s<br>33.36s | 348<br>79<br>≈6hrs<br>5s<br>5s |\n| --- | --- | --- |\n| HomeCareAssistant |  |  |\n| Model’slinesofcode<br>No.states(transitions)orplans<br>Modellingtime<br>Modelexplor.time(min/test)<br>Modelexplor.time(max/test) | 722<br>42(67)<br>≈5.5hrs<br>0.001s<br>2.775s | 131<br>35<br>≈3hrs<br>1s<br>1s |",1]
["|  | ModelcheckingTA | BDIagents |\n| --- | --- | --- |\n| CooperativeManufacturingAssistant |  |  |","| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |\n| --- | --- | --- | --- | --- | --- |\n| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |\n| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |\n| 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |\n| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |\n| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |\n| 6 | Othercommands | Idle | 13 | 2 | 12 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["|  | Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |","| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |",1]
["|  | Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |","| Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.7674 | 0.5464 | 0.8843 | 0.7283 | 0.5974 | 0.9202 |\n| MS-SSIM | 0.8795 | 0.6673 | 0.6955 | 0.9414 | 0.9299 | 0.4327 |\n| SBIQE | 0.0062 | 0.0058 | 1.9856 | 0.0120 | 0.0574 | 1.0289 |\n| BRISQUE | 0.7915 | 0.7637 | 0.7912 | 0.8048 | 0.8999 | 0.5687 |\n| NIQE | 0.6814 | 0.6412 | 0.8715 | 0.6558 | 0.6427 | 0.7157 |\n| STMAD | 0.7641 | 0.7354 | 0.7296 | 0.8388 | 0.7236 | 0.7136 |\n| FLOSIM | 0.9265 | 0.8987 | 0.4256 | 0.9665 | 0.9495 | 0.3359 |\n| Chenetal. | 0.6618 | 0.5720 | 0.6915 | 0.8723 | 0.8724 | 0.6182 |\n| STRIQE | 0.7430 | 0.7167 | 0.8433 | 0.8403 | 0.8175 | 0.5666 |\n| VQUEMODES(NIQE) | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |",0]
["|  | Algorithm | H.264 | JP2K |  |  |\n| --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |","| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |  |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |  |",1]
["|  | Algorithm | H.264 | JP2K |  |  |\n| --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |","| STMAD | 0.7641 | 0.7354 | 0.7296 | 0.8388 | 0.7236 | 0.7136 |\n| --- | --- | --- | --- | --- | --- | --- |\n| FLOSIM | 0.9265 | 0.8987 | 0.4256 | 0.9665 | 0.9495 | 0.3359 |\n| Chenetal. | 0.6618 | 0.5720 | 0.6915 | 0.8723 | 0.8724 | 0.6182 |\n| STRIQE | 0.7430 | 0.7167 | 0.8433 | 0.8403 | 0.8175 | 0.5666 |\n| VQUEMODES(NIQE) | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |",0]
["| method | 0 | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |\n| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |\n| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |\n| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 |","| NFQG | 0.590 | 0.688 | 0.717 | 0.738 | 0.748 | 0.758 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 0.590 | 0.694 | 0.732 | 0.746 | 0.754 | 0.757 |\n| LSTM-i2 | 0.614 | 0.715 | 0.751 | 0.769 | 0.778 | 0.785 |\n| LSTM-i3 | 0.617 | 0.718 | 0.758 | 0.776 | 0.790 | 0.793 |",1]
["| method | 0 | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |\n| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |\n| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |\n| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 |","| N | 1 | 2 | 5 | 10 | 20 | 100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) |\n| Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) |\n| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |\n| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |",0]
["| method | 0 | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |\n| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |\n| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |\n| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 |\n| NFQG | 0.590 | 0.688 | 0.717 | 0.738 | 0.748 | 0.758 |","| LSTM | 0.590 | 0.694 | 0.732 | 0.746 | 0.754 | 0.757 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LSTM-i2 | 0.614 | 0.715 | 0.751 | 0.769 | 0.778 | 0.785 |\n| LSTM-i3 | 0.617 | 0.718 | 0.758 | 0.776 | 0.790 | 0.793 |",1]
["| method | 0 | 1 | 2 | 3 | 4 | 5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RND | 0.590 | 0.677 | 0.714 | 0.736 | 0.749 | 0.758 |\n| AC | 0.590 | 0.677 | 0.713 | 0.735 | 0.748 | 0.757 |\n| ACG | 0.590 | 0.678 | 0.717 | 0.741 | 0.754 | 0.760 |\n| NFQ | 0.590 | 0.677 | 0.713 | 0.736 | 0.750 | 0.758 |\n| NFQG | 0.590 | 0.688 | 0.717 | 0.738 | 0.748 | 0.758 |","| Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |\n| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |",0]
["| CNNmodel | Layer | Activations | Encoding |\n| --- | --- | --- | --- |\n| AlexNet | Conv5 | (13,13,256) | FV+PCA |","| AlexNet | Conv5 | (13,13,256) | VLAD+PCA |\n| --- | --- | --- | --- |\n| AlexNet | FC7 | 4096 | − |\n| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |\n| GoogLeNet | Pool5 | 1024 | − |",1]
["| CNNmodel | Layer | Activations | Encoding |\n| --- | --- | --- | --- |\n| AlexNet | Conv5 | (13,13,256) | FV+PCA |","| CNN | Imageresolution | RunTime(ms) |\n| --- | --- | --- |\n| AlexNet | 227×227 | 2.3 |\n| VGG16 | 224×224 | 10 |\n| Resnet50 | 224×224 | 17 |\n| SqueezeNet | 224×224 | 2.5 |\n| SqueezeNet | 448×448 | 4 |\n| SqueezeNet | 625×625 | 6 |",0]
["| CNNmodel | Layer | Activations | Encoding |\n| --- | --- | --- | --- |\n| AlexNet | Conv5 | (13,13,256) | FV+PCA |","| AlexNet | Conv5 | (13,13,256) | VLAD+PCA |\n| --- | --- | --- | --- |\n| AlexNet | FC7 | 4096 | − |\n| GoogLeNet | Inc.5b | (7,7,1024) | VLAD+PCA |\n| GoogLeNet | Pool5 | 1024 | − |",1]
["| CNNmodel | Layer | Activations | Encoding |\n| --- | --- | --- | --- |\n| AlexNet | Conv5 | (13,13,256) | FV+PCA |","| SqueezeNet | 448×448 | 4 |\n| --- | --- | --- |\n| SqueezeNet | 625×625 | 6 |",0]
["| Hyper-parameters | Value |\n| --- | --- |\n| Learningrate | 0.00015822 |\n| Beta | 0.000076253698849 |\n| Dropout | 0.85565561 |\n| Networkparameters | Value |\n| RegularizationType | L2 |","| BatchSize | 256 |\n| --- | --- |\n| WeightUpdate | AdamOptimization |",1]
["| Hyper-parameters | Value |\n| --- | --- |\n| Learningrate | 0.00015822 |\n| Beta | 0.000076253698849 |\n| Dropout | 0.85565561 |\n| Networkparameters | Value |\n| RegularizationType | L2 |","| Parameters | Value |\n| --- | --- |\n| Maximumsentencelength | 15words |\n| OptimizationMethod | Adam |\n| Learningrate | 0.01 |\n| Batchsize | 256 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| Hyper-parameters | Value |\n| --- | --- |\n| Learningrate | 0.00015822 |","| Beta | 0.000076253698849 |\n| --- | --- |\n| Dropout | 0.85565561 |\n| Networkparameters | Value |\n| RegularizationType | L2 |\n| BatchSize | 256 |\n| WeightUpdate | AdamOptimization |",1]
["| Hyper-parameters | Value |\n| --- | --- |\n| Learningrate | 0.00015822 |","| OptimizationMethod | Adam |\n| --- | --- |\n| Learningrate | 0.01 |\n| Batchsize | 256 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| HF | 3.51 | 18.70 |","| SPPF | 3.47 | 17.46 |\n| --- | --- | --- |\n| LFV | 3.37 | 18.14 |\n| ourmethod | 2.41 | 9.12 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| HF | 3.51 | 18.70 |","| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 75.9 | 109.2 | 16.5 |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| HF | 3.51 | 18.70 |\n| SPPF | 3.47 | 17.46 |","| LFV | 3.37 | 18.14 |\n| --- | --- | --- |\n| ourmethod | 2.41 | 9.12 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| HF | 3.51 | 18.70 |\n| SPPF | 3.47 | 17.46 |","| 75.9 | 109.2 | 16.5 |\n| --- | --- | --- |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",0]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n| Models | Val | Test | Val | Test |\n| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 |","| L2R+Coref | 63.8 | 64.8 | 68.3 | 66.5 |\n| --- | --- | --- | --- | --- |\n| L2R-WMD | 60.8 | 61.5 | 63.2 | 61.6 |\n| L2R-FS | 61.5 | 62.5 | 65.3 | 63.7 |",1]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n| Models | Val | Test | Val | Test |\n| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 |","|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |\n| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n| Models | Val | Test | Val | Test |\n| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 |","| L2R+Coref | 63.8 | 64.8 | 68.3 | 66.5 |\n| --- | --- | --- | --- | --- |\n| L2R-WMD | 60.8 | 61.5 | 63.2 | 61.6 |\n| L2R-FS | 61.5 | 62.5 | 65.3 | 63.7 |",1]
["|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n| Models | Val | Test | Val | Test |\n| L2RReader | 64.3 | 65.8 | 69.1 | 67.3 |","| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| --- | --- | --- | --- | --- |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |\n| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["| testset | BLEU |\n| --- | --- |\n| Random1000samples | 11.85 |","| Withidioms | 6.35 |\n| --- | --- |\n| Blacklisttriggered | 5.64 |\n| Blacklistnottriggered | 6.44 |",1]
["| testset | BLEU |\n| --- | --- |\n| Random1000samples | 11.85 |","|  | RegExLib | Snort |\n| --- | --- | --- |\n| Totalpatterns | 2994 | 12499 |\n| Analyzable(onlyregularconstructs) | 2213 | 9408 |\n| UsesKleenestar | 1103 | 2741 |\n| PumpableKleeneandsuﬃxfound | 127 | 15 |\n| PumpableKleeneonly | 20 | 4 |\n| NopumpableKleene | 2066 | 9389 |\n| MaxHFπsteps | 509 | 256 |\n| Totalclassiﬁcationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |",0]
["| testset | BLEU |\n| --- | --- |\n| Random1000samples | 11.85 |\n| Withidioms | 6.35 |","| Blacklisttriggered | 5.64 |\n| --- | --- |\n| Blacklistnottriggered | 6.44 |",1]
["| testset | BLEU |\n| --- | --- |\n| Random1000samples | 11.85 |\n| Withidioms | 6.35 |","| MaxHFπsteps | 509 | 256 |\n| --- | --- | --- |\n| Totalclassiﬁcationtime<br>(IntelCore2Duo1.8MHz,4GBRAM) | 40s | 10s |",0]
["| Device | GTX560Ti | GTX780 | GTX980 |\n| --- | --- | --- | --- |\n| W(byte/cycle)bank | 2 | 8 | 4 |\n| f(GHz)core | 0.950 | 1.006 | 1.279 |","| W(GB/s)SM | 60.80 | 257.54 | 163.84 |\n| --- | --- | --- | --- |\n| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 |",1]
["| Device | GTX560Ti | GTX780 | GTX980 |\n| --- | --- | --- | --- |\n| W(byte/cycle)bank | 2 | 8 | 4 |\n| f(GHz)core | 0.950 | 1.006 | 1.279 |","| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| Device | GTX560Ti | GTX780 | GTX980 |\n| --- | --- | --- | --- |\n| W(byte/cycle)bank | 2 | 8 | 4 |\n| f(GHz)core | 0.950 | 1.006 | 1.279 |","| W(GB/s)SM | 60.80 | 257.54 | 163.84 |\n| --- | --- | --- | --- |\n| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 |",1]
["| Device | GTX560Ti | GTX780 | GTX980 |\n| --- | --- | --- | --- |\n| W(byte/cycle)bank | 2 | 8 | 4 |\n| f(GHz)core | 0.950 | 1.006 | 1.279 |","| CoreClock(MHz) | 1607 | 1417 |\n| --- | --- | --- |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |\n| Single-10k | 0.168 | 0.172 | 0.165 |","| Joint-10k | 0.190 | 0.177 | 0.181 |\n| --- | --- | --- | --- |\n| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |\n| Single-50k | 0.218 | 0.228 | 0.222 |\n| Joint-50k | 0.256 | 0.250 | 0.227 |\n| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |\n| Single-100k | 0.225 | 0.218 | 0.199 |\n| Joint-100k | 0.283 | 0.256 | 0.222 |",1]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |\n| Single-10k | 0.168 | 0.172 | 0.165 |","| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.457 | 0.445 | 0.483 |\n| Single-10k | 0.623 | 0.647 | 0.641 |\n| Joint-10k | 0.650 | 0.636 | 0.635 |\n| Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |\n| Single-50k | 0.492 | 0.486 | 0.534 |\n| Joint-50k | 0.571 | 0.591 | 0.613 |\n| Bag-of-Words-100K | 0.335 | 0.324 | 0.322 |\n| Single-100k | 0.431 | 0.413 | 0.456 |\n| Joint-100k | 0.495 | 0.518 | 0.507 |",0]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |\n| Single-10k | 0.168 | 0.172 | 0.165 |\n| Joint-10k | 0.190 | 0.177 | 0.181 |\n| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |\n| Single-50k | 0.218 | 0.228 | 0.222 |","| Joint-50k | 0.256 | 0.250 | 0.227 |\n| --- | --- | --- | --- |\n| Bag-of-Words-100K | 0.222 | 0.18 | 0.16 |\n| Single-100k | 0.225 | 0.218 | 0.199 |\n| Joint-100k | 0.283 | 0.256 | 0.222 |",1]
["| Model | k=200 | k=300 | k=400 |\n| --- | --- | --- | --- |\n| Bag-of-Words-10K | 0.127 | 0.113 | 0.111 |\n| Single-10k | 0.168 | 0.172 | 0.165 |\n| Joint-10k | 0.190 | 0.177 | 0.181 |\n| Bag-of-Words-50K | 0.196 | 0.191 | 0.21 |\n| Single-50k | 0.218 | 0.228 | 0.222 |","| Bag-of-Words-50K | 0.44 | 0.453 | 0.407 |\n| --- | --- | --- | --- |\n| Single-50k | 0.492 | 0.486 | 0.534 |\n| Joint-50k | 0.571 | 0.591 | 0.613 |\n| Bag-of-Words-100K | 0.335 | 0.324 | 0.322 |\n| Single-100k | 0.431 | 0.413 | 0.456 |\n| Joint-100k | 0.495 | 0.518 | 0.507 |",0]
["| ShapeBasedFeature |  |\n| --- | --- |\n| 1.Volume | 9.Maximum2Ddiameter(coronal) |","| 2.Surfacearea | 10.Maximum2Ddiameter(sagital) |\n| --- | --- |\n| 3.SurfaceareatoVolumeRatio | 11.MajorAxis |\n| 4.Sphericity | 12.MinorAxis |\n| 5.SphericalDisproportion | 13.LeastAxis |\n| 6.Compactness1 | 14.Elongation |\n| 7.Maximum3Ddiameter | 15.Flatness |\n| 8.Maximum2Ddiameter(axial) | 16.Compactness2 |",1]
["| ShapeBasedFeature |  |\n| --- | --- |\n| 1.Volume | 9.Maximum2Ddiameter(coronal) |","|  | Aspectratio | Convexity | HScircularity | Solidity |\n| --- | --- | --- | --- | --- |\n| Blocky | 0.71±0.13 | 0.99±0.02 | 0.71±0.06 | 0.85±0.02 |\n| Vesicular | 0.69±0.13 | 0.87±0.05 | 0.48±0.08 | 0.73±0.09 |\n| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |\n| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |",0]
["| ShapeBasedFeature |  |\n| --- | --- |\n| 1.Volume | 9.Maximum2Ddiameter(coronal) |\n| 2.Surfacearea | 10.Maximum2Ddiameter(sagital) |\n| 3.SurfaceareatoVolumeRatio | 11.MajorAxis |\n| 4.Sphericity | 12.MinorAxis |\n| 5.SphericalDisproportion | 13.LeastAxis |\n| 6.Compactness1 | 14.Elongation |","| 7.Maximum3Ddiameter | 15.Flatness |\n| --- | --- |\n| 8.Maximum2Ddiameter(axial) | 16.Compactness2 |",1]
["| ShapeBasedFeature |  |\n| --- | --- |\n| 1.Volume | 9.Maximum2Ddiameter(coronal) |\n| 2.Surfacearea | 10.Maximum2Ddiameter(sagital) |\n| 3.SurfaceareatoVolumeRatio | 11.MajorAxis |\n| 4.Sphericity | 12.MinorAxis |\n| 5.SphericalDisproportion | 13.LeastAxis |\n| 6.Compactness1 | 14.Elongation |","| Elongated | 0.37±0.06 | 0.96±0.09 | 0.51±0.08 | 0.80±0.23 |\n| --- | --- | --- | --- | --- |\n| Rounded | 0.80±0.09 | 0.99±0.01 | 0.82±0.04 | 0.89±0.01 |",0]
["| Conv1 | 96×7×7,st.2,pad0 |\n| --- | --- |\n| Conv2 | 256×5×5,st.1,pad1 |\n| Conv3 | 512×3×3,st.1,pad1 |\n| Conv4 | 512×3×3,st.1,pad1 |\n| Conv5 | 512×3×3,st.1,pad1 |","| Full6 | 4096dropout |\n| --- | --- |\n| Full7 | 4096dropout |\n| Full8 | 1000softmax |",1]
["| Conv1 | 96×7×7,st.2,pad0 |\n| --- | --- |\n| Conv2 | 256×5×5,st.1,pad1 |\n| Conv3 | 512×3×3,st.1,pad1 |\n| Conv4 | 512×3×3,st.1,pad1 |\n| Conv5 | 512×3×3,st.1,pad1 |","| Name | Kernel | OutputSize | Name | Kernel | OutputSize |\n| --- | --- | --- | --- | --- | --- |\n| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |\n| pool1 | 2×2 | 160×224×64 | reﬁne-1convs | 3×3 | 40×56×256 |\n| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |\n| pool2 | 2×2 | 80×112×128 | reﬁne-2convs | 3×3 | 80×112×128 |\n| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |\n| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |\n| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",0]
["| Conv1 | 96×7×7,st.2,pad0 |\n| --- | --- |\n| Conv2 | 256×5×5,st.1,pad1 |","| Conv3 | 512×3×3,st.1,pad1 |\n| --- | --- |\n| Conv4 | 512×3×3,st.1,pad1 |\n| Conv5 | 512×3×3,st.1,pad1 |\n| Full6 | 4096dropout |\n| Full7 | 4096dropout |\n| Full8 | 1000softmax |",1]
["| Conv1 | 96×7×7,st.2,pad0 |\n| --- | --- |\n| Conv2 | 256×5×5,st.1,pad1 |","| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |\n| --- | --- | --- | --- | --- | --- |\n| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",0]
["|  | Chicago | Paris | Zurich |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) |\n| Faverage1 | 0.840 | 0.855 | 0.774 | 0.776 | 0.804 | 0.810 |","| Fbuilding1 | 0.823 | 0.837 | 0.821 | 0.822 | 0.824 | 0.823 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Froad1 | 0.821 | 0.843 | 0.741 | 0.746 | 0.695 | 0.707 |\n| Fbackground1 | 0.849 | 0.861 | 0.754 | 0.754 | 0.894 | 0.891 |",1]
["|  | Chicago | Paris | Zurich |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) |\n| Faverage1 | 0.840 | 0.855 | 0.774 | 0.776 | 0.804 | 0.810 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["|  | Chicago | Paris | Zurich |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) |","| Faverage1 | 0.840 | 0.855 | 0.774 | 0.776 | 0.804 | 0.810 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fbuilding1 | 0.823 | 0.837 | 0.821 | 0.822 | 0.824 | 0.823 |\n| Froad1 | 0.821 | 0.843 | 0.741 | 0.746 | 0.695 | 0.707 |\n| Fbackground1 | 0.849 | 0.861 | 0.754 | 0.754 | 0.894 | 0.891 |",1]
["|  | Chicago | Paris | Zurich |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | (15.7h) | Ours(10.5h) | (18.3h) | Ours(7.6h) | (15.5h) | Ours(6.2h) |","| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| KernelMethods | RBF | Linear |  |  |\n| --- | --- | --- | --- | --- |\n| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |\n| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |\n| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 |","| KernelMethods | Polynomial | Sigmoid |  |  |\n| --- | --- | --- | --- | --- |\n| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |\n| MPG | 0.25 | 0.5 | 14.669 | 14.22 |\n| MG | 0.019672 | 0.018778 | 0.023228 | 0.023548 |",1]
["| KernelMethods | RBF | Linear |  |  |\n| --- | --- | --- | --- | --- |\n| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |\n| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |\n| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 |","| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| KernelMethods | RBF | Linear |  |  |\n| --- | --- | --- | --- | --- |\n| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |\n| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |\n| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 |\n| KernelMethods | Polynomial | Sigmoid |  |  |","| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |\n| --- | --- | --- | --- | --- |\n| MPG | 0.25 | 0.5 | 14.669 | 14.22 |\n| MG | 0.019672 | 0.018778 | 0.023228 | 0.023548 |",1]
["| KernelMethods | RBF | Linear |  |  |\n| --- | --- | --- | --- | --- |\n| Method | WSS-WR | WSS3 | WSS-WR | WSS3 |\n| MPG | 6.9927 | 6.4602 | 12.325 | 12.058 |\n| MG | 0.01533 | 0.014618 | 0.02161 | 0.02138 |\n| KernelMethods | Polynomial | Sigmoid |  |  |","| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| DataSet | MPEG-7 |\n| --- | --- |\n| CSS | 75.44 |","| Visualparts | 76.45 |\n| --- | --- |\n| SC | 76.51 |\n| CPDH | 76.56 |\n| Aligningcurves | 78.16 |\n| ProposedApproach | 79.38 |\n| SSC | 79.92 |",1]
["| DataSet | MPEG-7 |\n| --- | --- |\n| CSS | 75.44 |","|  | DISFA | BP4D |\n| --- | --- | --- |\n| #seqs | 27 | 328 |\n| #frames | 130,814 | 144,682 |\n| #activeframes | 56,356 | 117,075 |\n| #AU | 10 | 12 |\n| labelcardinality | 3.04 | 4.05 |\n| labeldensity | 4.05 | 0.22 |",0]
["| DataSet | MPEG-7 |\n| --- | --- |\n| CSS | 75.44 |\n| Visualparts | 76.45 |\n| SC | 76.51 |\n| CPDH | 76.56 |","| Aligningcurves | 78.16 |\n| --- | --- |\n| ProposedApproach | 79.38 |\n| SSC | 79.92 |",1]
["| DataSet | MPEG-7 |\n| --- | --- |\n| CSS | 75.44 |\n| Visualparts | 76.45 |\n| SC | 76.51 |\n| CPDH | 76.56 |","| #activeframes | 56,356 | 117,075 |\n| --- | --- | --- |\n| #AU | 10 | 12 |\n| labelcardinality | 3.04 | 4.05 |\n| labeldensity | 4.05 | 0.22 |",0]
["| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |\n| --- | --- | --- | --- | --- | --- | --- |\n| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |\n| MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private |","| SOT+MOT | 41.9 | 77.4 | 4235 | 59757 | 198 | public |\n| --- | --- | --- | --- | --- | --- | --- |\n| SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |\n| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public |",1]
["| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |\n| --- | --- | --- | --- | --- | --- | --- |\n| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |\n| MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private |","| PRI↑ | VoI↓ | BDE↓ | GCE↓ |  |\n| --- | --- | --- | --- | --- |\n| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |\n| CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 |\n| HFEM | 0.7769 | 2.3067 | 10.6700 | 0.2215 |\n| MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |\n| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 |",0]
["| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |\n| --- | --- | --- | --- | --- | --- | --- |\n| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |","| MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private |\n| --- | --- | --- | --- | --- | --- | --- |\n| SOT+MOT | 41.9 | 77.4 | 4235 | 59757 | 198 | public |\n| SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |\n| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public |",1]
["| Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |\n| --- | --- | --- | --- | --- | --- | --- |\n| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |","| MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |\n| --- | --- | --- | --- | --- |\n| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 |",0]
["| #ofCPUCores | #ofGPUs |\n| --- | --- |\n| 299,008 | 18688 |","| 102,400 | 7,168 |\n| --- | --- |\n| 55,680 | 4,640 |\n| 17,984 | 4,258 |",1]
["| #ofCPUCores | #ofGPUs |\n| --- | --- |\n| 299,008 | 18688 |","| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |\n| AP | 29.8 | 34.2 | 35.3 | 38.7 | 40.2 | 42.0 | 44.0 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 |",0]
["| #ofCPUCores | #ofGPUs |\n| --- | --- |\n| 299,008 | 18688 |\n| 102,400 | 7,168 |","| 55,680 | 4,640 |\n| --- | --- |\n| 17,984 | 4,258 |",1]
["| #ofCPUCores | #ofGPUs |\n| --- | --- |\n| 299,008 | 18688 |\n| 102,400 | 7,168 |","| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 |",0]
["| KNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |","| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| CAPTCHA | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",1]
["| KNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |","| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| KNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |","| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| CAPTCHA | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",1]
["| KNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |","| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| Conv.Layers | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| st<br>1 | 0.66 | 0.68 | 0.69 |\n| 2 | 0.71 | 0.74 | 0.76 |","| 3 | 0.74 | 0.75 | 0.79 |\n| --- | --- | --- | --- |\n| 4 | 0.74 | 0.76 | 0.79 |\n| 5 | 0.73 | 0.74 | 0.77 |\n| All | 0.75 | 0.77 | 0.81 |",1]
["| Conv.Layers | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| st<br>1 | 0.66 | 0.68 | 0.69 |\n| 2 | 0.71 | 0.74 | 0.76 |","| Layer | AVGPower[mW] | ExecTime[ms] | L3-L2Time[ms] |\n| --- | --- | --- | --- |\n| conv1+pool | 89.01 | 12.95 | 0.02 |\n| ReLU | 52.07 | 0.46 | — |\n| conv2+ReLU | 87.96 | 11.12 | 0.13 |\n| conv3 | 77.46 | 11.85 | 0.13 |\n| conv4 | 83.56 | 5.49 | 0.02 |\n| add | 37.75 | 0.12 | — |\n| ReLU | 36.81 | 0.12 | — |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |\n| fully1 | 30.76 | 0.04 | 0.09 |\n| fully2 | 36.74 | 0.04 | 0.09 |",0]
["| Conv.Layers | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| st<br>1 | 0.66 | 0.68 | 0.69 |\n| 2 | 0.71 | 0.74 | 0.76 |","| 3 | 0.74 | 0.75 | 0.79 |\n| --- | --- | --- | --- |\n| 4 | 0.74 | 0.76 | 0.79 |\n| 5 | 0.73 | 0.74 | 0.77 |\n| All | 0.75 | 0.77 | 0.81 |",1]
["| Conv.Layers | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| st<br>1 | 0.66 | 0.68 | 0.69 |\n| 2 | 0.71 | 0.74 | 0.76 |","| add | 37.75 | 0.12 | — |\n| --- | --- | --- | --- |\n| ReLU | 36.81 | 0.12 | — |\n| conv5+ReLU | 78.10 | 8.34 | 0.26 |\n| conv6 | 91.72 | 9.35 | 0.51 |\n| conv7 | 66.53 | 2.08 | 0.04 |\n| add | 34.98 | 0.12 | — |\n| ReLU | 34.01 | 0.11 | — |\n| conv8+ReLU | 87.49 | 6.37 | 1.01 |\n| conv9 | 89.67 | 11.91 | 2.02 |\n| conv10 | 66.00 | 2.59 | 0.12 |\n| add+ReLU | 34.30 | 0.11 | — |\n| fully1 | 30.76 | 0.04 | 0.09 |\n| fully2 | 36.74 | 0.04 | 0.09 |",0]
["| Parameter | ValueRange(Average) |\n| --- | --- |\n| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 |","| NUMCOMPILB<br>NUMCOMPEP | 5−44(19)<br>1−48(23) |\n| --- | --- |\n| NUMCOALACCESSESILB<br>NUMCOALACCESSESEP | 0−13(3)<br>0−13(5) |\n| NUMUNCOALACCESSESILB<br>NUMUNCOALACCESSESEP | 0−4(0.8)<br>0−4(0.8) |",1]
["| Parameter | ValueRange(Average) |\n| --- | --- |\n| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 |","| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |\n| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |\n| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| Parameter | ValueRange(Average) |\n| --- | --- |\n| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 |","| NUMCOMPILB<br>NUMCOMPEP | 5−44(19)<br>1−48(23) |\n| --- | --- |\n| NUMCOALACCESSESILB<br>NUMCOALACCESSESEP | 0−13(3)<br>0−13(5) |\n| NUMUNCOALACCESSESILB<br>NUMUNCOALACCESSESEP | 0−4(0.8)<br>0−4(0.8) |",1]
["| Parameter | ValueRange(Average) |\n| --- | --- |\n| STENCILPATTERN<br>STENCILRADIUS | Allthree<br>0−2 |","| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| --- | --- | --- | --- | --- |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",0]
["| 97.88 |\n| --- |\n| 97.59 |","| 94.51<br>92.60 |\n| --- |\n| 0.236 |\n| 84.6 |",1]
["| 97.88 |\n| --- |\n| 97.59 |","| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |\n| 0.236 |\n| 84.6 |",0]
["| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |","| 0.236 |\n| --- |\n| 84.6 |",1]
["| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |","| 94.51<br>92.60 |\n| --- |\n| 0.236 |\n| 84.6 |",0]
["| DataSet | Sentences# | Tokens# |\n| --- | --- | --- |\n| Training | 14,987 | 203,621 |","| Develop | 3,466 | 51,362 |\n| --- | --- | --- |\n| Test | 3,684 | 46,435 |\n| #oftagtypes(IOBESscheme) | 17 |  |",1]
["| DataSet | Sentences# | Tokens# |\n| --- | --- | --- |\n| Training | 14,987 | 203,621 |","| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 15-18 | 8,936 | 211,727 |\n| Develop | N/A | N/A | N/A |\n| Test | 20 | 2,012 | 47,377 |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",0]
["| DataSet | Sentences# | Tokens# |\n| --- | --- | --- |\n| Training | 14,987 | 203,621 |\n| Develop | 3,466 | 51,362 |","| Test | 3,684 | 46,435 |\n| --- | --- | --- |\n| #oftagtypes(IOBESscheme) | 17 |  |",1]
["| DataSet | Sentences# | Tokens# |\n| --- | --- | --- |\n| Training | 14,987 | 203,621 |\n| Develop | 3,466 | 51,362 |","| Develop | N/A | N/A | N/A |\n| --- | --- | --- | --- |\n| Test | 20 | 2,012 | 47,377 |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",0]
["| Quantity | TestingSet | CrossValidation |\n| --- | --- | --- |\n| 0.5k0.5k | 83 | 79.90 |\n| 1k1k | 84 | 81.70 |\n| 2k2k | 85.80 | 83.30 |\n| 4k4k | 87.20 | 83.80 |\n| 8k8k | 89.10 | 83.50 |","| 16k16k | 91.30 | 84.10 |\n| --- | --- | --- |\n| 32k32k | 92.50 | 86.10 |",1]
["| Quantity | TestingSet | CrossValidation |\n| --- | --- | --- |\n| 0.5k0.5k | 83 | 79.90 |\n| 1k1k | 84 | 81.70 |\n| 2k2k | 85.80 | 83.30 |\n| 4k4k | 87.20 | 83.80 |\n| 8k8k | 89.10 | 83.50 |","| Pass | SE2 | SE3 | SE13 | SE15 | ALL |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 71.6 | 70.3 | 67.0 | 72.5 | 70.3 |\n| 2 | 71.9 | 70.2 | 67.1 | 72.8 | 70.4 |\n| 3 | 72.2 | 70.5 | 67.2 | 72.6 | 70.6 |\n| 4 | 72.1 | 70.4 | 67.2 | 72.4 | 70.5 |\n| 5 | 72.0 | 70.4 | 67.1 | 71.5 | 70.3 |",0]
["| Quantity | TestingSet | CrossValidation |\n| --- | --- | --- |\n| 0.5k0.5k | 83 | 79.90 |\n| 1k1k | 84 | 81.70 |\n| 2k2k | 85.80 | 83.30 |\n| 4k4k | 87.20 | 83.80 |\n| 8k8k | 89.10 | 83.50 |","| 16k16k | 91.30 | 84.10 |\n| --- | --- | --- |\n| 32k32k | 92.50 | 86.10 |",1]
["| Quantity | TestingSet | CrossValidation |\n| --- | --- | --- |\n| 0.5k0.5k | 83 | 79.90 |\n| 1k1k | 84 | 81.70 |\n| 2k2k | 85.80 | 83.30 |\n| 4k4k | 87.20 | 83.80 |\n| 8k8k | 89.10 | 83.50 |","| 4 | 72.1 | 70.4 | 67.2 | 72.4 | 70.5 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 72.0 | 70.4 | 67.1 | 71.5 | 70.3 |",0]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 3x3x32 | 98 | 117 |","| 3x3x16 | 97.79 | 108 |\n| --- | --- | --- |\n| 3x3x8 | 97.5 | 103 |\n| 3x3x4 | 96.6 | 108 |\n| 3x3x2 | 96.2 | 106 |",1]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 3x3x32 | 98 | 117 |","| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 5x5x32 | 98.6 | 114 |\n| 5x5x16 | 98.5 | 110 |\n| 5x5x8 | 98.2 | 107 |\n| 5x5x4 | 97.8 | 109 |\n| 5x5x2 | 97.38 | 108 |",0]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 3x3x32 | 98 | 117 |","| 3x3x16 | 97.79 | 108 |\n| --- | --- | --- |\n| 3x3x8 | 97.5 | 103 |\n| 3x3x4 | 96.6 | 108 |\n| 3x3x2 | 96.2 | 106 |",1]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 3x3x32 | 98 | 117 |","| 5x5x8 | 98.2 | 107 |\n| --- | --- | --- |\n| 5x5x4 | 97.8 | 109 |\n| 5x5x2 | 97.38 | 108 |",0]
["|  | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |\n| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |\n| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |\n| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |\n| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |\n| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |\n| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |\n| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |\n| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |\n| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 |","| Ironman | 0.448078 | 0.3873 | 0.4016 | 0.4013 | 0.393 | 0.42 | 0.4191 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Jogging-1 | 0.733364 | 0.7681 | 0.7672 | 0.7844 | 0.7866 | 0.7791 | 0.7791 |\n| Jogging-2 | 0.766713 | 0.7763 | 0.7771 | 0.7779 | 0.774 | 0.7631 | 0.769 |\n| Jump | 0.248634 | 0.0792 | 0.0894 | 0.2619 | 0.2806 | 0.1101 | 0.0995 |\n| Jumping | 0.726609 | 0.6706 | 0.6709 | 0.6782 | 0.6895 | 0.6994 | 0.7033 |\n| KiteSurf | 0.704649 | 0.7126 | 0.7149 | 0.7012 | 0.7001 | 0.7001 | 0.6956 |\n| Lemming | 0.59702 | 0.7557 | 0.7552 | 0.758 | 0.7624 | 0.7593 | 0.7545 |\n| Liquor | 0.83414 | 0.8162 | 0.8153 | 0.8181 | 0.8189 | 0.8189 | 0.8189 |\n| Man | 0.822672 | 0.795 | 0.7978 | 0.8028 | 0.8127 | 0.8266 | 0.807 |\n| Matrix | 0.595238 | 0.4138 | 0.4233 | 0.4071 | 0.3929 | 0.2729 | 0.2748 |\n| Mhyang | 0.742506 | 0.8348 | 0.8355 | 0.8348 | 0.8164 | 0.8215 | 0.8024 |\n| MotorRolling | 0.652729 | 0.5752 | 0.5723 | 0.4974 | 0.1687 | 0.1135 | 0.0987 |\n| MountainBike | 0.677945 | 0.7005 | 0.7007 | 0.7005 | 0.7001 | 0.6919 | 0.6953 |\n| Panda | 0.535333 | 0.5103 | 0.4732 | 0.5478 | 0.5699 | 0.5645 | 0.5843 |\n| RedTeam | 0.518596 | 0.6082 | 0.6424 | 0.6442 | 0.6462 | 0.6456 | 0.6336 |\n| Rubik | 0.666857 | 0.6618 | 0.6572 | 0.6627 | 0.6642 | 0.662 | 0.6573 |\n| Shaking | 0.75499 | 0.7444 | 0.7409 | 0.7444 | 0.7293 | 0.7571 | 0.771 |\n| Singer1 | 0.539547 | 0.6697 | 0.674 | 0.6634 | 0.6344 | 0.5872 | 0.4001 |\n| Singer2 | 0.775826 | 0.7328 | 0.733 | 0.0364 | 0.037 | 0.0389 | 0.0399 |\n| Skater | 0.634821 | 0.5952 | 0.5958 | 0.5929 | 0.5961 | 0.6074 | 0.6259 |\n| Skater2 | 0.616092 | 0.5734 | 0.591 | 0.6032 | 0.6193 | 0.6165 | 0.5872 |\n| Skating1 | 0.65869 | 0.5182 | 0.556 | 0.5248 | 0.5739 | 0.5764 | 0.5942 |\n| Skating2-1 | 0.519682 | 0.3528 | 0.351 | 0.3578 | 0.3601 | 0.3658 | 0.3614 |\n| Skating2-2 | 0.41488 | 0.4164 | 0.4146 | 0.4978 | 0.5029 | 0.4014 | 0.3908 |\n| Skiing | 0.566725 | 0.4674 | 0.4897 | 0.4738 | 0.4856 | 0.4656 | 0.465 |\n| Soccer | 0.184038 | 0.4298 | 0.4275 | 0.4298 | 0.4298 | 0.3907 | 0.4563 |\n| Subway | 0.790204 | 0.7045 | 0.1782 | 0.7415 | 0.7352 | 0.7369 | 0.7429 |\n| Surfer | 0.632852 | 0.6511 | 0.6494 | 0.6682 | 0.5906 | 0.542 | 0.511 |\n| Suv | 0.753036 | 0.7996 | 0.8062 | 0.8047 | 0.803 | 0.7994 | 0.5684 |\n| Sylvester | 0.687024 | 0.7601 | 0.7605 | 0.7601 | 0.7625 | 0.7647 | 0.7645 |\n| Tiger1 | 0.685096 | 0.6002 | 0.6005 | 0.6002 | 0.6002 | 0.6817 | 0.731 |\n| Tiger2 | 0.628571 | 0.5894 | 0.5885 | 0.5931 | 0.5926 | 0.5954 | 0.58 |\n| Toy | 0.633632 | 0.6038 | 0.602 | 0.6094 | 0.6422 | 0.6187 | 0.537 |\n| Trans | 0.530338 | 0.5518 | 0.5457 | 0.5584 | 0.5465 | 0.5495 | 0.5757 |\n| Trellis | 0.643987 | 0.7381 | 0.737 | 0.7394 | 0.7228 | 0.6891 | 0.6656 |\n| Twinnings | 0.625316 | 0.67 | 0.6607 | 0.6781 | 0.6522 | 0.643 | 0.6395 |\n| Vase | 0.450185 | 0.4665 | 0.4579 | 0.4665 | 0.4672 | 0.4521 | 0.3894 |\n| Walking | 0.627369 | 0.6448 | 0.6596 | 0.6914 | 0.6775 | 0.662 | 0.6511 |\n| Walking2 | 0.464571 | 0.6364 | 0.6253 | 0.6294 | 0.6555 | 0.6575 | 0.634 |\n| Woman | 0.702002 | 0.7292 | 0.7341 | 0.7132 | 0.7192 | 0.7598 | 0.7692 |\n| Average | 0.63696061 | 0.622858 | 0.617631 | 0.621314 | 0.62165 | 0.608597 | 0.595679 |",1]
["|  | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |\n| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |\n| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |\n| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |\n| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |\n| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |\n| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |\n| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |\n| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |\n| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 |","|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.7303 | 0.7339 | 0.7238 | 0.7257 | 0.6038 | 0.5872 | 0.6081 |\n| Gym | 0.5068 | 0.5141 | 0.4567 | 0.5176 | 0.4625 | 0.4484 | 0.0254 |\n| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |\n| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |\n| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |\n| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |\n| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |\n| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |\n| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |\n| Human9 | 0.664 | 0.5661 | 0.5538 | 0.4515 | 0.484 | 0.0073 | 0.0031 |\n| Ironman | 0.4604 | 0.428 | 0.1816 | 0.4418 | 0.0138 | 0.1411 | 0.3368 |\n| Jogging-1 | 0.7098 | 0.7711 | 0.7369 | 0.7773 | 0.749 | 0.7217 | 0.4915 |\n| Jogging-2 | 0.7389 | 0.7439 | 0.7602 | 0.731 | 0.7565 | 0.7214 | 0.0338 |\n| Jump | 0.0496 | 0.1593 | 0.251 | 0.1659 | 0.1694 | 0.0656 | 0.0582 |\n| Jumping | 0.6867 | 0.7176 | 0.7157 | 0.6872 | 0.7184 | 0.5757 | 0.5276 |\n| KiteSurf | 0.7098 | 0.7676 | 0.6298 | 0.343 | 0.7358 | 0.6865 | 0.7103 |\n| Lemming | 0.7499 | 0.7108 | 0.7356 | 0.7582 | 0.7461 | 0.0215 | 0.0213 |\n| Liquor | 0.7915 | 0.6435 | 0.7477 | 0.6869 | 0.7283 | 0.6757 | 0.1501 |\n| Man | 0.8077 | 0.8017 | 0.779 | 0.7903 | 0.79 | 0.8088 | 0.8006 |\n| Matrix | 0.279 | 0.4671 | 0.4476 | 0.4724 | 0.4705 | 0.1057 | 0.0705 |\n| Mhyang | 0.7521 | 0.8094 | 0.8147 | 0.7603 | 0.6258 | 0.6084 | 0.674 |\n| MotorRolling | 0.5839 | 0.5833 | 0.5851 | 0.5976 | 0.5738 | 0.1283 | 0.2398 |\n| MountainBike | 0.7652 | 0.7172 | 0.7366 | 0.6433 | 0.7135 | 0.0063 | 0.0063 |\n| Panda | 0.6096 | 0.5238 | 0.5448 | 0.57 | 0.5035 | 0.5199 | 0.4794 |\n| RedTeam | 0.559 | 0.5711 | 0.6262 | 0.5641 | 0.5719 | 0.5234 | 0.2384 |\n| Rubik | 0.7301 | 0.7106 | 0.7157 | 0.7075 | 0.7009 | 0.7092 | 0.0121 |\n| Shaking | 0.6814 | 0.5986 | 0.6864 | 0.0907 | 0.0421 | 0.6373 | 0.0566 |\n| Singer1 | 0.7614 | 0.7159 | 0.7422 | 0.7128 | 0.6918 | 0.4938 | 0.6759 |\n| Singer2 | 0.6043 | 0.6906 | 0.0389 | 0.0848 | 0.0628 | 0.006 | 0.0034 |\n| Skater | 0.5256 | 0.5482 | 0.6131 | 0.5643 | 0.5827 | 0.5601 | 0.6149 |\n| Skater2 | 0.5395 | 0.5747 | 0.6726 | 0.5111 | 0.417 | 0.0297 | 0.0363 |\n| Skating1 | 0.6006 | 0.6439 | 0.5325 | 0.5804 | 0.6102 | 0.5495 | 0.592 |\n| Skating2-1 | 0.481 | 0.5028 | 0.4327 | 0.4521 | 0.4986 | 0.4919 | 0.4462 |\n| Skating2-2 | 0.3244 | 0.4951 | 0.5316 | 0.3864 | 0.4175 | 0.0196 | 0.017 |\n| Skiing | 0.4891 | 0.495 | 0.5056 | 0.4633 | 0.4762 | 0.3774 | 0.3633 |\n| Soccer | 0.4948 | 0.4218 | 0.3805 | 0.4939 | 0.4021 | 0.3697 | 0.4123 |\n| Subway | 0.7546 | 0.6754 | 0.6751 | 0.6724 | 0.6528 | 0.6727 | 0.6833 |\n| Surfer | 0.7007 | 0.7285 | 0.719 | 0.7023 | 0.7207 | 0.7411 | 0.1836 |\n| Suv | 0.744 | 0.7973 | 0.7744 | 0.7893 | 0.7716 | 0.6956 | 0.1601 |\n| Sylvester | 0.7125 | 0.6861 | 0.7 | 0.6968 | 0.1434 | 0.2789 | 0.2842 |\n| Tiger1 | 0.6224 | 0.6396 | 0.6679 | 0.6355 | 0.4128 | 0.4374 | 0.0549 |\n| Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |\n| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |\n| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |\n| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |\n| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |\n| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |\n| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |\n| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |\n| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |\n| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 |",0]
["|  | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |\n| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |\n| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |\n| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |\n| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |\n| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |\n| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |\n| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |\n| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |\n| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 |\n| Ironman | 0.448078 | 0.3873 | 0.4016 | 0.4013 | 0.393 | 0.42 | 0.4191 |\n| Jogging-1 | 0.733364 | 0.7681 | 0.7672 | 0.7844 | 0.7866 | 0.7791 | 0.7791 |\n| Jogging-2 | 0.766713 | 0.7763 | 0.7771 | 0.7779 | 0.774 | 0.7631 | 0.769 |\n| Jump | 0.248634 | 0.0792 | 0.0894 | 0.2619 | 0.2806 | 0.1101 | 0.0995 |\n| Jumping | 0.726609 | 0.6706 | 0.6709 | 0.6782 | 0.6895 | 0.6994 | 0.7033 |\n| KiteSurf | 0.704649 | 0.7126 | 0.7149 | 0.7012 | 0.7001 | 0.7001 | 0.6956 |\n| Lemming | 0.59702 | 0.7557 | 0.7552 | 0.758 | 0.7624 | 0.7593 | 0.7545 |\n| Liquor | 0.83414 | 0.8162 | 0.8153 | 0.8181 | 0.8189 | 0.8189 | 0.8189 |\n| Man | 0.822672 | 0.795 | 0.7978 | 0.8028 | 0.8127 | 0.8266 | 0.807 |\n| Matrix | 0.595238 | 0.4138 | 0.4233 | 0.4071 | 0.3929 | 0.2729 | 0.2748 |\n| Mhyang | 0.742506 | 0.8348 | 0.8355 | 0.8348 | 0.8164 | 0.8215 | 0.8024 |\n| MotorRolling | 0.652729 | 0.5752 | 0.5723 | 0.4974 | 0.1687 | 0.1135 | 0.0987 |\n| MountainBike | 0.677945 | 0.7005 | 0.7007 | 0.7005 | 0.7001 | 0.6919 | 0.6953 |\n| Panda | 0.535333 | 0.5103 | 0.4732 | 0.5478 | 0.5699 | 0.5645 | 0.5843 |\n| RedTeam | 0.518596 | 0.6082 | 0.6424 | 0.6442 | 0.6462 | 0.6456 | 0.6336 |\n| Rubik | 0.666857 | 0.6618 | 0.6572 | 0.6627 | 0.6642 | 0.662 | 0.6573 |\n| Shaking | 0.75499 | 0.7444 | 0.7409 | 0.7444 | 0.7293 | 0.7571 | 0.771 |\n| Singer1 | 0.539547 | 0.6697 | 0.674 | 0.6634 | 0.6344 | 0.5872 | 0.4001 |\n| Singer2 | 0.775826 | 0.7328 | 0.733 | 0.0364 | 0.037 | 0.0389 | 0.0399 |\n| Skater | 0.634821 | 0.5952 | 0.5958 | 0.5929 | 0.5961 | 0.6074 | 0.6259 |\n| Skater2 | 0.616092 | 0.5734 | 0.591 | 0.6032 | 0.6193 | 0.6165 | 0.5872 |\n| Skating1 | 0.65869 | 0.5182 | 0.556 | 0.5248 | 0.5739 | 0.5764 | 0.5942 |\n| Skating2-1 | 0.519682 | 0.3528 | 0.351 | 0.3578 | 0.3601 | 0.3658 | 0.3614 |\n| Skating2-2 | 0.41488 | 0.4164 | 0.4146 | 0.4978 | 0.5029 | 0.4014 | 0.3908 |\n| Skiing | 0.566725 | 0.4674 | 0.4897 | 0.4738 | 0.4856 | 0.4656 | 0.465 |\n| Soccer | 0.184038 | 0.4298 | 0.4275 | 0.4298 | 0.4298 | 0.3907 | 0.4563 |\n| Subway | 0.790204 | 0.7045 | 0.1782 | 0.7415 | 0.7352 | 0.7369 | 0.7429 |\n| Surfer | 0.632852 | 0.6511 | 0.6494 | 0.6682 | 0.5906 | 0.542 | 0.511 |\n| Suv | 0.753036 | 0.7996 | 0.8062 | 0.8047 | 0.803 | 0.7994 | 0.5684 |\n| Sylvester | 0.687024 | 0.7601 | 0.7605 | 0.7601 | 0.7625 | 0.7647 | 0.7645 |\n| Tiger1 | 0.685096 | 0.6002 | 0.6005 | 0.6002 | 0.6002 | 0.6817 | 0.731 |\n| Tiger2 | 0.628571 | 0.5894 | 0.5885 | 0.5931 | 0.5926 | 0.5954 | 0.58 |\n| Toy | 0.633632 | 0.6038 | 0.602 | 0.6094 | 0.6422 | 0.6187 | 0.537 |\n| Trans | 0.530338 | 0.5518 | 0.5457 | 0.5584 | 0.5465 | 0.5495 | 0.5757 |\n| Trellis | 0.643987 | 0.7381 | 0.737 | 0.7394 | 0.7228 | 0.6891 | 0.6656 |\n| Twinnings | 0.625316 | 0.67 | 0.6607 | 0.6781 | 0.6522 | 0.643 | 0.6395 |\n| Vase | 0.450185 | 0.4665 | 0.4579 | 0.4665 | 0.4672 | 0.4521 | 0.3894 |","| Walking | 0.627369 | 0.6448 | 0.6596 | 0.6914 | 0.6775 | 0.662 | 0.6511 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Walking2 | 0.464571 | 0.6364 | 0.6253 | 0.6294 | 0.6555 | 0.6575 | 0.634 |\n| Woman | 0.702002 | 0.7292 | 0.7341 | 0.7132 | 0.7192 | 0.7598 | 0.7692 |\n| Average | 0.63696061 | 0.622858 | 0.617631 | 0.621314 | 0.62165 | 0.608597 | 0.595679 |",1]
["|  | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |\n| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |\n| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |\n| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |\n| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |\n| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |\n| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |\n| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |\n| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |\n| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 |\n| Ironman | 0.448078 | 0.3873 | 0.4016 | 0.4013 | 0.393 | 0.42 | 0.4191 |\n| Jogging-1 | 0.733364 | 0.7681 | 0.7672 | 0.7844 | 0.7866 | 0.7791 | 0.7791 |\n| Jogging-2 | 0.766713 | 0.7763 | 0.7771 | 0.7779 | 0.774 | 0.7631 | 0.769 |\n| Jump | 0.248634 | 0.0792 | 0.0894 | 0.2619 | 0.2806 | 0.1101 | 0.0995 |\n| Jumping | 0.726609 | 0.6706 | 0.6709 | 0.6782 | 0.6895 | 0.6994 | 0.7033 |\n| KiteSurf | 0.704649 | 0.7126 | 0.7149 | 0.7012 | 0.7001 | 0.7001 | 0.6956 |\n| Lemming | 0.59702 | 0.7557 | 0.7552 | 0.758 | 0.7624 | 0.7593 | 0.7545 |\n| Liquor | 0.83414 | 0.8162 | 0.8153 | 0.8181 | 0.8189 | 0.8189 | 0.8189 |\n| Man | 0.822672 | 0.795 | 0.7978 | 0.8028 | 0.8127 | 0.8266 | 0.807 |\n| Matrix | 0.595238 | 0.4138 | 0.4233 | 0.4071 | 0.3929 | 0.2729 | 0.2748 |\n| Mhyang | 0.742506 | 0.8348 | 0.8355 | 0.8348 | 0.8164 | 0.8215 | 0.8024 |\n| MotorRolling | 0.652729 | 0.5752 | 0.5723 | 0.4974 | 0.1687 | 0.1135 | 0.0987 |\n| MountainBike | 0.677945 | 0.7005 | 0.7007 | 0.7005 | 0.7001 | 0.6919 | 0.6953 |\n| Panda | 0.535333 | 0.5103 | 0.4732 | 0.5478 | 0.5699 | 0.5645 | 0.5843 |\n| RedTeam | 0.518596 | 0.6082 | 0.6424 | 0.6442 | 0.6462 | 0.6456 | 0.6336 |\n| Rubik | 0.666857 | 0.6618 | 0.6572 | 0.6627 | 0.6642 | 0.662 | 0.6573 |\n| Shaking | 0.75499 | 0.7444 | 0.7409 | 0.7444 | 0.7293 | 0.7571 | 0.771 |\n| Singer1 | 0.539547 | 0.6697 | 0.674 | 0.6634 | 0.6344 | 0.5872 | 0.4001 |\n| Singer2 | 0.775826 | 0.7328 | 0.733 | 0.0364 | 0.037 | 0.0389 | 0.0399 |\n| Skater | 0.634821 | 0.5952 | 0.5958 | 0.5929 | 0.5961 | 0.6074 | 0.6259 |\n| Skater2 | 0.616092 | 0.5734 | 0.591 | 0.6032 | 0.6193 | 0.6165 | 0.5872 |\n| Skating1 | 0.65869 | 0.5182 | 0.556 | 0.5248 | 0.5739 | 0.5764 | 0.5942 |\n| Skating2-1 | 0.519682 | 0.3528 | 0.351 | 0.3578 | 0.3601 | 0.3658 | 0.3614 |\n| Skating2-2 | 0.41488 | 0.4164 | 0.4146 | 0.4978 | 0.5029 | 0.4014 | 0.3908 |\n| Skiing | 0.566725 | 0.4674 | 0.4897 | 0.4738 | 0.4856 | 0.4656 | 0.465 |\n| Soccer | 0.184038 | 0.4298 | 0.4275 | 0.4298 | 0.4298 | 0.3907 | 0.4563 |\n| Subway | 0.790204 | 0.7045 | 0.1782 | 0.7415 | 0.7352 | 0.7369 | 0.7429 |\n| Surfer | 0.632852 | 0.6511 | 0.6494 | 0.6682 | 0.5906 | 0.542 | 0.511 |\n| Suv | 0.753036 | 0.7996 | 0.8062 | 0.8047 | 0.803 | 0.7994 | 0.5684 |\n| Sylvester | 0.687024 | 0.7601 | 0.7605 | 0.7601 | 0.7625 | 0.7647 | 0.7645 |\n| Tiger1 | 0.685096 | 0.6002 | 0.6005 | 0.6002 | 0.6002 | 0.6817 | 0.731 |\n| Tiger2 | 0.628571 | 0.5894 | 0.5885 | 0.5931 | 0.5926 | 0.5954 | 0.58 |\n| Toy | 0.633632 | 0.6038 | 0.602 | 0.6094 | 0.6422 | 0.6187 | 0.537 |\n| Trans | 0.530338 | 0.5518 | 0.5457 | 0.5584 | 0.5465 | 0.5495 | 0.5757 |\n| Trellis | 0.643987 | 0.7381 | 0.737 | 0.7394 | 0.7228 | 0.6891 | 0.6656 |\n| Twinnings | 0.625316 | 0.67 | 0.6607 | 0.6781 | 0.6522 | 0.643 | 0.6395 |\n| Vase | 0.450185 | 0.4665 | 0.4579 | 0.4665 | 0.4672 | 0.4521 | 0.3894 |","| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |\n| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |\n| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |\n| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |\n| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |\n| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |\n| Human9 | 0.664 | 0.5661 | 0.5538 | 0.4515 | 0.484 | 0.0073 | 0.0031 |\n| Ironman | 0.4604 | 0.428 | 0.1816 | 0.4418 | 0.0138 | 0.1411 | 0.3368 |\n| Jogging-1 | 0.7098 | 0.7711 | 0.7369 | 0.7773 | 0.749 | 0.7217 | 0.4915 |\n| Jogging-2 | 0.7389 | 0.7439 | 0.7602 | 0.731 | 0.7565 | 0.7214 | 0.0338 |\n| Jump | 0.0496 | 0.1593 | 0.251 | 0.1659 | 0.1694 | 0.0656 | 0.0582 |\n| Jumping | 0.6867 | 0.7176 | 0.7157 | 0.6872 | 0.7184 | 0.5757 | 0.5276 |\n| KiteSurf | 0.7098 | 0.7676 | 0.6298 | 0.343 | 0.7358 | 0.6865 | 0.7103 |\n| Lemming | 0.7499 | 0.7108 | 0.7356 | 0.7582 | 0.7461 | 0.0215 | 0.0213 |\n| Liquor | 0.7915 | 0.6435 | 0.7477 | 0.6869 | 0.7283 | 0.6757 | 0.1501 |\n| Man | 0.8077 | 0.8017 | 0.779 | 0.7903 | 0.79 | 0.8088 | 0.8006 |\n| Matrix | 0.279 | 0.4671 | 0.4476 | 0.4724 | 0.4705 | 0.1057 | 0.0705 |\n| Mhyang | 0.7521 | 0.8094 | 0.8147 | 0.7603 | 0.6258 | 0.6084 | 0.674 |\n| MotorRolling | 0.5839 | 0.5833 | 0.5851 | 0.5976 | 0.5738 | 0.1283 | 0.2398 |\n| MountainBike | 0.7652 | 0.7172 | 0.7366 | 0.6433 | 0.7135 | 0.0063 | 0.0063 |\n| Panda | 0.6096 | 0.5238 | 0.5448 | 0.57 | 0.5035 | 0.5199 | 0.4794 |\n| RedTeam | 0.559 | 0.5711 | 0.6262 | 0.5641 | 0.5719 | 0.5234 | 0.2384 |\n| Rubik | 0.7301 | 0.7106 | 0.7157 | 0.7075 | 0.7009 | 0.7092 | 0.0121 |\n| Shaking | 0.6814 | 0.5986 | 0.6864 | 0.0907 | 0.0421 | 0.6373 | 0.0566 |\n| Singer1 | 0.7614 | 0.7159 | 0.7422 | 0.7128 | 0.6918 | 0.4938 | 0.6759 |\n| Singer2 | 0.6043 | 0.6906 | 0.0389 | 0.0848 | 0.0628 | 0.006 | 0.0034 |\n| Skater | 0.5256 | 0.5482 | 0.6131 | 0.5643 | 0.5827 | 0.5601 | 0.6149 |\n| Skater2 | 0.5395 | 0.5747 | 0.6726 | 0.5111 | 0.417 | 0.0297 | 0.0363 |\n| Skating1 | 0.6006 | 0.6439 | 0.5325 | 0.5804 | 0.6102 | 0.5495 | 0.592 |\n| Skating2-1 | 0.481 | 0.5028 | 0.4327 | 0.4521 | 0.4986 | 0.4919 | 0.4462 |\n| Skating2-2 | 0.3244 | 0.4951 | 0.5316 | 0.3864 | 0.4175 | 0.0196 | 0.017 |\n| Skiing | 0.4891 | 0.495 | 0.5056 | 0.4633 | 0.4762 | 0.3774 | 0.3633 |\n| Soccer | 0.4948 | 0.4218 | 0.3805 | 0.4939 | 0.4021 | 0.3697 | 0.4123 |\n| Subway | 0.7546 | 0.6754 | 0.6751 | 0.6724 | 0.6528 | 0.6727 | 0.6833 |\n| Surfer | 0.7007 | 0.7285 | 0.719 | 0.7023 | 0.7207 | 0.7411 | 0.1836 |\n| Suv | 0.744 | 0.7973 | 0.7744 | 0.7893 | 0.7716 | 0.6956 | 0.1601 |\n| Sylvester | 0.7125 | 0.6861 | 0.7 | 0.6968 | 0.1434 | 0.2789 | 0.2842 |\n| Tiger1 | 0.6224 | 0.6396 | 0.6679 | 0.6355 | 0.4128 | 0.4374 | 0.0549 |\n| Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |\n| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |\n| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |\n| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |\n| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |\n| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |\n| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |\n| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |\n| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |\n| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["|  | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |\n| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 |","| Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |\n| --- | --- | --- | --- | --- | --- |\n| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 |",1]
["|  | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |\n| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 |","|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |\n| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |\n| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["|  | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |\n| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 |","| Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |\n| --- | --- | --- | --- | --- | --- |\n| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 |",1]
["|  | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |\n| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 |","| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| --- | --- | --- | --- | --- | --- |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["| Object | Probabilityofco-occurrence |\n| --- | --- |\n| Man | 0.240 |","| Road | 0.151 |\n| --- | --- |\n| Sign | 0.074 |\n| Sidewalk | 0.051 |\n| Traﬃc | 0.076 |",1]
["| Object | Probabilityofco-occurrence |\n| --- | --- |\n| Man | 0.240 |","| No. | String | Probabilityofoccurrence |\n| --- | --- | --- |\n| 0 | 000 | 0.133567088 |\n| 1 | 001 | 0.122682815 |\n| 2 | 010 | 0.130448785 |\n| 3 | 011 | 0.119522821 |\n| 4 | 100 | 0.122658224 |\n| 5 | 101 | 0.127181921 |\n| 6 | 110 | 0.119505945 |\n| 7 | 111 | 0.1244324 |",0]
["| Object | Probabilityofco-occurrence |\n| --- | --- |\n| Man | 0.240 |","| Road | 0.151 |\n| --- | --- |\n| Sign | 0.074 |\n| Sidewalk | 0.051 |\n| Traﬃc | 0.076 |",1]
["| Object | Probabilityofco-occurrence |\n| --- | --- |\n| Man | 0.240 |","| 1 | 001 | 0.122682815 |\n| --- | --- | --- |\n| 2 | 010 | 0.130448785 |\n| 3 | 011 | 0.119522821 |\n| 4 | 100 | 0.122658224 |\n| 5 | 101 | 0.127181921 |\n| 6 | 110 | 0.119505945 |\n| 7 | 111 | 0.1244324 |",0]
["| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |\n| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 |  |","| MCcSR | 34.14 | 34.11 | 34.09 | 34.09 | 34.07 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | Bicubic | 0.745 | 0.731 | 0.698 | 0.672 | 0.619 |\n| ScSR | 0.774 | 0.772 | 0.766 | 0.761 | 0.752 |  |\n| MCcSR | 0.785 | 0.783 | 0.780 | 0.775 | 0.768 |  |\n| SCIELAB | Bicubic | 2.79E4 | 2.92E4 | 4.40E4 | 5.25E4 | 6.31E4 |\n| ScSR | 2.28E4 | 2.31E4 | 2.36E4 | 2.39E4 | 2.43E4 |  |\n| MCcSR | 2.14E4 | 2.16E4 | 2.20E4 | 2.21E4 | 2.23E4 |  |",1]
["| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |\n| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 |  |","| Sigma | Index | Methods |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Noisy | LSCD | CBM3D | WLRTR |  |  |\n| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |\n| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",0]
["| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |\n| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 |  |","| MCcSR | 34.14 | 34.11 | 34.09 | 34.09 | 34.07 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | Bicubic | 0.745 | 0.731 | 0.698 | 0.672 | 0.619 |\n| ScSR | 0.774 | 0.772 | 0.766 | 0.761 | 0.752 |  |\n| MCcSR | 0.785 | 0.783 | 0.780 | 0.775 | 0.768 |  |\n| SCIELAB | Bicubic | 2.79E4 | 2.92E4 | 4.40E4 | 5.25E4 | 6.31E4 |\n| ScSR | 2.28E4 | 2.31E4 | 2.36E4 | 2.39E4 | 2.43E4 |  |\n| MCcSR | 2.14E4 | 2.16E4 | 2.20E4 | 2.21E4 | 2.23E4 |  |",1]
["| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |\n| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 |  |","| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| --- | --- | --- | --- | --- | --- |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |\n| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 13.32 | 11.57 | 12.10 |\n| GeneralGray-World | 13.69 | 12.11 | 12.55 |\n| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |\n| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 |\n| Greenstabilityassumptionresults |  |  |  |\n| Shades-of-Gray | 12.68 | 10.50 | 11.25 |\n| GeneralGray-World | 12.68 | 10.50 | 11.25 |","| 1st-orderGray-Edge | 13.41 | 11.04 | 11.87 |\n| --- | --- | --- | --- |\n| 2nd-orderGray-Edge | 12.83 | 10.70 | 11.44 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 13.32 | 11.57 | 12.10 |\n| GeneralGray-World | 13.69 | 12.11 | 12.55 |\n| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |\n| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 |\n| Greenstabilityassumptionresults |  |  |  |\n| Shades-of-Gray | 12.68 | 10.50 | 11.25 |\n| GeneralGray-World | 12.68 | 10.50 | 11.25 |","| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |\n| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 7.80 | 7.15 | 7.21 |\n| GeneralGray-World | 7.61 | 6.85 | 6.92 |\n| 1st-orderGray-Edge | 6.14 | 5.32 | 5.49 |\n| 2nd-orderGray-Edge | 6.89 | 5.84 | 6.06 |\n| Greenstabilityassumptionresults |  |  |  |\n| Shades-of-Gray | 6.80 | 5.30 | 5.77 |\n| GeneralGray-World | 6.80 | 5.30 | 5.77 |\n| 1st-orderGray-Edge | 5.97 | 4.64 | 5.10 |\n| 2nd-orderGray-Edge | 6.69 | 5.17 | 5.72 |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 13.32 | 11.57 | 12.10 |\n| GeneralGray-World | 13.69 | 12.11 | 12.55 |\n| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |\n| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 |","| Greenstabilityassumptionresults |  |  |  |\n| --- | --- | --- | --- |\n| Shades-of-Gray | 12.68 | 10.50 | 11.25 |\n| GeneralGray-World | 12.68 | 10.50 | 11.25 |\n| 1st-orderGray-Edge | 13.41 | 11.04 | 11.87 |\n| 2nd-orderGray-Edge | 12.83 | 10.70 | 11.44 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| Originallyreportedresults |  |  |  |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Revisitedresults |  |  |  |\n| Shades-of-Gray | 13.32 | 11.57 | 12.10 |\n| GeneralGray-World | 13.69 | 12.11 | 12.55 |\n| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |\n| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 |","| Greenstabilityassumptionresults |  |  |  |\n| --- | --- | --- | --- |\n| Shades-of-Gray | 6.80 | 5.30 | 5.77 |\n| GeneralGray-World | 6.80 | 5.30 | 5.77 |\n| 1st-orderGray-Edge | 5.97 | 4.64 | 5.10 |\n| 2nd-orderGray-Edge | 6.69 | 5.17 | 5.72 |",0]
["| Layer | KernelSizeNNNsetspatkeep |\n| --- | --- |\n| C1(3×128) | 3×33166 |\n| C2(128×128) | 3×38163 |\n| C3(128×128) | 3×38162 |","| C4(128×128) | 3×38162 |\n| --- | --- |\n| C5(128×256) | 3×316162 |\n| C6(256×256) | 3×316162 |\n| FC(256×256) | 4×48163 |\n| FC(256×10) | 4×45164 |",1]
["| Layer | KernelSizeNNNsetspatkeep |\n| --- | --- |\n| C1(3×128) | 3×33166 |\n| C2(128×128) | 3×38163 |\n| C3(128×128) | 3×38162 |","| Process | LayerName | LayerType | fpoperationsperimage | Device |\n| --- | --- | --- | --- | --- |\n| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |\n| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |\n| FC7 | FC-dropout | 67108864 | K40-cudnn |  |\n| FC8 | FC-softmax | 16384000 | K40-cudnn |  |\n| FC6 | FC-dropout | 150994944 | K40-cublas |  |\n| FC7 | FC-dropout | 67108864 | K40-cublas |  |\n| FC8 | FC-softmax | 16384000 | K40-cublas |  |",0]
["| Layer | KernelSizeNNNsetspatkeep |\n| --- | --- |\n| C1(3×128) | 3×33166 |\n| C2(128×128) | 3×38163 |\n| C3(128×128) | 3×38162 |\n| C4(128×128) | 3×38162 |\n| C5(128×256) | 3×316162 |","| C6(256×256) | 3×316162 |\n| --- | --- |\n| FC(256×256) | 4×48163 |\n| FC(256×10) | 4×45164 |",1]
["| Layer | KernelSizeNNNsetspatkeep |\n| --- | --- |\n| C1(3×128) | 3×33166 |\n| C2(128×128) | 3×38163 |\n| C3(128×128) | 3×38162 |\n| C4(128×128) | 3×38162 |\n| C5(128×256) | 3×316162 |","| FC7 | FC-dropout | 67108864 | K40-cublas |\n| --- | --- | --- | --- |\n| FC8 | FC-softmax | 16384000 | K40-cublas |",0]
["| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |\n| --- | --- | --- | --- | --- | --- |\n| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |\n| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 |","| SuperVector | 99.2 | NA | NA | NA | 98.1 |\n| --- | --- | --- | --- | --- | --- |\n| SRS-LBPl1out8,4 | 99.0 | 99.2 | 99.4 | 99.5 | 97.7 |\n| SRS-LBPmetric* | 98.6 | 98.8 | 98.9 | 99.1 | 97.8 |\n| SRS-LBPl1out | 99.4 | 99.4 | 99.5 | 99.6 | 98.6 |",1]
["| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |\n| --- | --- | --- | --- | --- | --- |\n| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |\n| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 |","| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |\n| Delta-nHinge | 93.4 | NA | NA | 98.4 |\n| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |\n| --- | --- | --- | --- | --- | --- |\n| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |\n| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 |","| SuperVector | 99.2 | NA | NA | NA | 98.1 |\n| --- | --- | --- | --- | --- | --- |\n| SRS-LBPl1out8,4 | 99.0 | 99.2 | 99.4 | 99.5 | 97.7 |\n| SRS-LBPmetric* | 98.6 | 98.8 | 98.9 | 99.1 | 97.8 |\n| SRS-LBPl1out | 99.4 | 99.4 | 99.5 | 99.6 | 98.6 |",1]
["| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |\n| --- | --- | --- | --- | --- | --- |\n| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |\n| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 |","| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| --- | --- | --- | --- | --- |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuﬄedAUC↑ | CC↑ |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 |","| ContextAwareSaliency | 0.77 | 0.50 | 3.09 | 0.76 | 0.60 | 0.42 |\n| --- | --- | --- | --- | --- | --- | --- |\n| JuddModel | 0.84 | 0.46 | 3.61 | 0.84 | 0.56 | 0.54 |\n| GBVS | 0.80 | 0.51 | 2.99 | 0.79 | 0.58 | 0.50 |",1]
["| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuﬄedAUC↑ | CC↑ |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 |","| Parameter | Single-Speaker | VCTK | LibriSpeech |\n| --- | --- | --- | --- |\n| FFTSize | 4096 | 4096 | 4096 |\n| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |\n| AudioSampleRate | 48000 | 48000 | 16000 |\n| ReductionFactorr | 4 | 4 | 4 |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |\n| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |\n| DecoderAﬃneSize | 128,256 | 128,256 | 128,256 |\n| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |\n| AttentionHiddenSize | 128 | 256 | 256 |\n| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |\n| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |\n| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |\n| NumberofSpeakers | 1 | 108 | 2484 |\n| SpeakerEmbeddingDim. | - | 16 | 512 |\n| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |\n| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |\n| BatchSize | 16 | 16 | 16 |\n| MaxGradientNorm | 100 | 100 | 50.0 |\n| GradientClippingMax.Value | 5 | 5 | 5 |",0]
["| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuﬄedAUC↑ | CC↑ |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 |\n| ContextAwareSaliency | 0.77 | 0.50 | 3.09 | 0.76 | 0.60 | 0.42 |","| JuddModel | 0.84 | 0.46 | 3.61 | 0.84 | 0.56 | 0.54 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GBVS | 0.80 | 0.51 | 2.99 | 0.79 | 0.58 | 0.50 |",1]
["| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuﬄedAUC↑ | CC↑ |\n| --- | --- | --- | --- | --- | --- | --- |\n| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 |\n| ContextAwareSaliency | 0.77 | 0.50 | 3.09 | 0.76 | 0.60 | 0.42 |","| ReductionFactorr | 4 | 4 | 4 |\n| --- | --- | --- | --- |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |\n| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |\n| DecoderAﬃneSize | 128,256 | 128,256 | 128,256 |\n| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |\n| AttentionHiddenSize | 128 | 256 | 256 |\n| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |\n| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |\n| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |\n| NumberofSpeakers | 1 | 108 | 2484 |\n| SpeakerEmbeddingDim. | - | 16 | 512 |\n| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |\n| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |\n| BatchSize | 16 | 16 | 16 |\n| MaxGradientNorm | 100 | 100 | 50.0 |\n| GradientClippingMax.Value | 5 | 5 | 5 |",0]
["| Methods | Year | Dims | LWF | YTF |\n| --- | --- | --- | --- | --- |\n| DeepFace | 2014 | 4096 | 97.35 | 91.4 |\n| LearningFace | 2014 | 10575 | 97.73 | 92.2 |\n| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 |\n| FaceNet | 2015 | 128 | 99.63 | 9512 |\n| Deepembedding | 2015 | 128 | 99.13 | - |\n| Multimodaldeepface | 2015 | 9000 | 98.43 | - |\n| CenterLoss | 2016 | 512 | 99.28 | 94.9 |\n| Large-marginsoftmax | 2016 | 512 | 98.71 | - |","| SphereFace | 2017 | 512 | 99.42 | 95 |\n| --- | --- | --- | --- | --- |\n| NeuralAggregation | 2017 | 128 | - | 95.72 |",1]
["| Methods | Year | Dims | LWF | YTF |\n| --- | --- | --- | --- | --- |\n| DeepFace | 2014 | 4096 | 97.35 | 91.4 |\n| LearningFace | 2014 | 10575 | 97.73 | 92.2 |\n| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 |\n| FaceNet | 2015 | 128 | 99.63 | 9512 |\n| Deepembedding | 2015 | 128 | 99.13 | - |\n| Multimodaldeepface | 2015 | 9000 | 98.43 | - |\n| CenterLoss | 2016 | 512 | 99.28 | 94.9 |\n| Large-marginsoftmax | 2016 | 512 | 98.71 | - |","| Methods | Dims | Year | VEHICLEID | VERI-776 |\n| --- | --- | --- | --- | --- |\n| TripletLoss | 400 | 2015 | 0.373 | - |\n| SoftmaxLoss | 1024 | 2015 | 0.580 | 0.343 |\n| Triplet+SoftmaxLoss | 1024 | 2014 | 0.650 | 0.558 |\n| BOW-CN | 100 | 2015 | - | 0.122 |\n| CCLVGGM | 1024 | 2016 | 0.386 | - |\n| MixedDiﬀ+CCL | 1024 | 2016 | 0.455 | - |\n| HDC+Contrastive | 384 | 2017 | 0.575 | - |\n| GSTE | 1024 | 2017 | 0.724 | 0.594 |",0]
["| Methods | Year | Dims | LWF | YTF |\n| --- | --- | --- | --- | --- |\n| DeepFace | 2014 | 4096 | 97.35 | 91.4 |\n| LearningFace | 2014 | 10575 | 97.73 | 92.2 |\n| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 |","| FaceNet | 2015 | 128 | 99.63 | 9512 |\n| --- | --- | --- | --- | --- |\n| Deepembedding | 2015 | 128 | 99.13 | - |\n| Multimodaldeepface | 2015 | 9000 | 98.43 | - |\n| CenterLoss | 2016 | 512 | 99.28 | 94.9 |\n| Large-marginsoftmax | 2016 | 512 | 98.71 | - |\n| SphereFace | 2017 | 512 | 99.42 | 95 |\n| NeuralAggregation | 2017 | 128 | - | 95.72 |",1]
["| Methods | Year | Dims | LWF | YTF |\n| --- | --- | --- | --- | --- |\n| DeepFace | 2014 | 4096 | 97.35 | 91.4 |\n| LearningFace | 2014 | 10575 | 97.73 | 92.2 |\n| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 |","| MixedDiﬀ+CCL | 1024 | 2016 | 0.455 | - |\n| --- | --- | --- | --- | --- |\n| HDC+Contrastive | 384 | 2017 | 0.575 | - |\n| GSTE | 1024 | 2017 | 0.724 | 0.594 |",0]
["| TEXT | V | V+R | V+R+C |  |\n| --- | --- | --- | --- | --- |\n| ARK | Rec. | 98.05 | 97.60 | 96.98 |\n|  | Prec. | 94.13 | 95.28 | 96.19 |\n|  | Amb. | 1.042 | 1.024 | 1.008 |\n| HIST | Rec. | 97.03 | 96.52 | 95.62 |\n|  | Prec. | 94.13 | 92.59 | 94.33 |\n|  | Amb. | 1.058 | 1.042 | 1.013 |\n| MAN | Rec. | 97.03 | 96.47 | 95.84 |\n|  | Prec. | 91.05 | 93.08 | 94.47 |\n|  | Amb. | 1.058 | 1.042 | 1.014 |\n| EMB | Rec. | 96.51 | 96.47 | 95.37 |","|  | Prec. | 91.28 | 93.08 | 94.45 |\n| --- | --- | --- | --- | --- |\n|  | Amb. | 1.057 | 1.036 | 1.009 |",1]
["| TEXT | V | V+R | V+R+C |  |\n| --- | --- | --- | --- | --- |\n| ARK | Rec. | 98.05 | 97.60 | 96.98 |\n|  | Prec. | 94.13 | 95.28 | 96.19 |\n|  | Amb. | 1.042 | 1.024 | 1.008 |\n| HIST | Rec. | 97.03 | 96.52 | 95.62 |\n|  | Prec. | 94.13 | 92.59 | 94.33 |\n|  | Amb. | 1.058 | 1.042 | 1.013 |\n| MAN | Rec. | 97.03 | 96.47 | 95.84 |\n|  | Prec. | 91.05 | 93.08 | 94.47 |\n|  | Amb. | 1.058 | 1.042 | 1.014 |\n| EMB | Rec. | 96.51 | 96.47 | 95.37 |","| V3 | V2 | V1 |\n| --- | --- | --- |\n| 54.5 | - | - |\n| 76.0 | - | - |\n| 74.2 | - | - |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |\n| 90.7 | 87.5 | 74.0 |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",0]
["| TEXT | V | V+R | V+R+C |  |\n| --- | --- | --- | --- | --- |\n| ARK | Rec. | 98.05 | 97.60 | 96.98 |\n|  | Prec. | 94.13 | 95.28 | 96.19 |\n|  | Amb. | 1.042 | 1.024 | 1.008 |\n| HIST | Rec. | 97.03 | 96.52 | 95.62 |\n|  | Prec. | 94.13 | 92.59 | 94.33 |\n|  | Amb. | 1.058 | 1.042 | 1.013 |\n| MAN | Rec. | 97.03 | 96.47 | 95.84 |\n|  | Prec. | 91.05 | 93.08 | 94.47 |","|  | Amb. | 1.058 | 1.042 | 1.014 |\n| --- | --- | --- | --- | --- |\n| EMB | Rec. | 96.51 | 96.47 | 95.37 |\n|  | Prec. | 91.28 | 93.08 | 94.45 |\n|  | Amb. | 1.057 | 1.036 | 1.009 |",1]
["| TEXT | V | V+R | V+R+C |  |\n| --- | --- | --- | --- | --- |\n| ARK | Rec. | 98.05 | 97.60 | 96.98 |\n|  | Prec. | 94.13 | 95.28 | 96.19 |\n|  | Amb. | 1.042 | 1.024 | 1.008 |\n| HIST | Rec. | 97.03 | 96.52 | 95.62 |\n|  | Prec. | 94.13 | 92.59 | 94.33 |\n|  | Amb. | 1.058 | 1.042 | 1.013 |\n| MAN | Rec. | 97.03 | 96.47 | 95.84 |\n|  | Prec. | 91.05 | 93.08 | 94.47 |","| 90.7 | 87.5 | 74.0 |\n| --- | --- | --- |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",0]
["| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 17 | 0 | 0 | 0 | 60 | 110 |","| FIR | 20 | 11 | 14 | 22 | 7 | 39 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SYN | 51 | 19 | 30 | 30 | 22 | 33 |\n| Total(Outof243) | 88 | 30 | 44 | 52 | 89 | 172 |",1]
["| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 17 | 0 | 0 | 0 | 60 | 110 |","| Class | WMaxSatz | MiniMaxSat | IncWMaxSatz | Clone | SAT4J | MSUncore |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 99 | 110 | 0 | 110 | 100 | 0 |\n| FIR | 52 | 45 | 33 | 54 | 49 | 14 |\n| SYN | 52 | 45 | 55 | 61 | 53 | 40 |\n| Total(Outof243 | 203 | 200 | 88 | 225 | 202 | 54 |",0]
["| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 17 | 0 | 0 | 0 | 60 | 110 |\n| FIR | 20 | 11 | 14 | 22 | 7 | 39 |","| SYN | 51 | 19 | 30 | 30 | 22 | 33 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total(Outof243) | 88 | 30 | 44 | 52 | 89 | 172 |",1]
["| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |\n| --- | --- | --- | --- | --- | --- | --- |\n| IND | 17 | 0 | 0 | 0 | 60 | 110 |\n| FIR | 20 | 11 | 14 | 22 | 7 | 39 |","| SYN | 52 | 45 | 55 | 61 | 53 | 40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total(Outof243 | 203 | 200 | 88 | 225 | 202 | 54 |",0]
["| Dataset | Restaurants | Laptops |\n| --- | --- | --- |\n| No-Target | 0.772 | 0.708 |\n| No-Interaction | 0.769 | 0.706 |","| Target2Content | 0.775 | 0.712 |\n| --- | --- | --- |\n| IAN | 0.786 | 0.721 |",1]
["| Dataset | Restaurants | Laptops |\n| --- | --- | --- |\n| No-Target | 0.772 | 0.708 |\n| No-Interaction | 0.769 | 0.706 |","| Dataset | MBSGD | ASSGD | ASHR |\n| --- | --- | --- | --- |\n| MNIST | 0.179s | 0.208s | 0.205s |\n| URL | 0.080s | 0.092s | 0.092s |\n| CIFAR10 | 0.245s | 0.295s | 0.296s |\n| CIFAR-DA | 0.110s | 0.119s | 0.119s |",0]
["| Dataset | Restaurants | Laptops |\n| --- | --- | --- |\n| No-Target | 0.772 | 0.708 |","| No-Interaction | 0.769 | 0.706 |\n| --- | --- | --- |\n| Target2Content | 0.775 | 0.712 |\n| IAN | 0.786 | 0.721 |",1]
["| Dataset | Restaurants | Laptops |\n| --- | --- | --- |\n| No-Target | 0.772 | 0.708 |","| URL | 0.080s | 0.092s | 0.092s |\n| --- | --- | --- | --- |\n| CIFAR10 | 0.245s | 0.295s | 0.296s |\n| CIFAR-DA | 0.110s | 0.119s | 0.119s |",0]
["| Functions | MBA | TSSW |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R100 | C160 | F66 | R100 | C160 | F66 |  |\n| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 |","| g2 | 5.032 | 2.466 | 5.197 | 4.978 | 2.153 | 4.659 |\n| --- | --- | --- | --- | --- | --- | --- |\n| g3 | 5.028 | 2.451 | 5.183 | 4.968 | 2.189 | 4.644 |\n| g4 | 5.044 | 2.469 | 5.172 | 4.991 | 2.168 | 4.703 |\n| g5 | 5.002 | 2.458 | 5.179 | 4.979 | 2.170 | 4.743 |",1]
["| Functions | MBA | TSSW |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R100 | C160 | F66 | R100 | C160 | F66 |  |\n| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 |","| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["| Functions | MBA | TSSW |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R100 | C160 | F66 | R100 | C160 | F66 |  |\n| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 |","| g2 | 5.032 | 2.466 | 5.197 | 4.978 | 2.153 | 4.659 |\n| --- | --- | --- | --- | --- | --- | --- |\n| g3 | 5.028 | 2.451 | 5.183 | 4.968 | 2.189 | 4.644 |\n| g4 | 5.044 | 2.469 | 5.172 | 4.991 | 2.168 | 4.703 |\n| g5 | 5.002 | 2.458 | 5.179 | 4.979 | 2.170 | 4.743 |",1]
["| Functions | MBA | TSSW |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R100 | C160 | F66 | R100 | C160 | F66 |  |\n| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 |","| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["| Selection | Crossover | Initialpopulation |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| Stoch.Un.S. | 1-Point | 0.81 | 0.76 | 0.91 | 0.91 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n| Tournament | 1-Point | 0.85 | 0.73 | 0.88 | 0.89 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["| Selection | Crossover | Initialpopulation |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |\n|  |  |  |  |  |  |","| Team | ML | BM | EB1 | EB2 |\n| --- | --- | --- | --- | --- |\n| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |\n| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |\n| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |\n| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |\n| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |\n| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |\n| T-20 | 0.48 | 0.51 | 0.64 | 0.71 |",0]
["| Selection | Crossover | Initialpopulation |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n| Stoch.Un.S. | 1-Point | 0.81 | 0.76 | 0.91 | 0.91 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","| Tournament | 1-Point | 0.85 | 0.73 | 0.88 | 0.89 |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["| Selection | Crossover | Initialpopulation |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n| Stoch.Un.S. | 1-Point | 0.81 | 0.76 | 0.91 | 0.91 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |\n| --- | --- | --- | --- | --- |\n| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |\n| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |\n| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |\n| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |\n| T-20 | 0.48 | 0.51 | 0.64 | 0.71 |",0]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |\n| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |","| 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |\n| --- | --- | --- | --- | --- | --- |\n| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 |",1]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |\n| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |","| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |\n| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |\n| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",0]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |\n| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |","| 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |\n| --- | --- | --- | --- | --- | --- |\n| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 |",1]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |\n| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |","| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |\n| --- | --- | --- | --- | --- | --- |\n| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",0]
["|  | DSTC2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |","| Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 |\n| d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 |\n| hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 |",1]
["|  | DSTC2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |","|  | DSTC2 |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["|  | DSTC2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |","| Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 |\n| d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 |\n| hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 |",1]
["|  | DSTC2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |","| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |\n| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |\n| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |\n| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| )G=(V,E0G0 | \\|truegraphwithn=\\|V\\|andm=\\|EG0 |\n| G=(V,E,p) | uncertaingraphconstructedfromG0 |\n| G=(V,E)G | samplegraphfromG,G(cid:118)G |","| d(G),d(G)uu | degreeofnodeuinG,G |\n| --- | --- |\n| ∆(d) | numberofnodeshavingdegreedinG |\n| N(u) | neighborsofnodeuinG |\n| Rσ | truncatednormaldistributionon[0,1] |\n| r←Reσ | asamplefromthedistributionRσ |\n| p(p)iuv | probabilityofedgee(e)iuv |\n| np | numberofpotentialedges,\\|E\\|=m+np |\n| A,A | adjacencymatricesofG,G0 |\n| PRW | randomwalktransitionmatrixofG0 |\n| B | uncertainadjacencymatrix,B=AP |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| )G=(V,E0G0 | \\|truegraphwithn=\\|V\\|andm=\\|EG0 |\n| G=(V,E,p) | uncertaingraphconstructedfromG0 |\n| G=(V,E)G | samplegraphfromG,G(cid:118)G |","| Variable | Description |\n| --- | --- |\n| V | setofnodesinagraph |\n| E | setofedgesinagraph |\n| B(e) | edgecapacityforedgee |\n| C(v) | nodecapacityfornodev |\n| D | thesetofﬂowdemands |\n| δ(v) | theedgesleavingvertexv |\n| δ(v) | theedgesenteringvertexv |\n| P | thesetofwalksfromsourcestodestinations |\n| p<br>i,π | walk-based;theamountofﬂowifromstotii<br>exactlyusingwalkπandprocessedatv |\n| f(e)i | edge-based;theamountofﬂowithat<br>traverseseonitswayfromstotii |\n| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| )G=(V,E0G0 | \\|truegraphwithn=\\|V\\|andm=\\|EG0 |\n| G=(V,E,p) | uncertaingraphconstructedfromG0 |\n| G=(V,E)G | samplegraphfromG,G(cid:118)G |\n| d(G),d(G)uu | degreeofnodeuinG,G |\n| ∆(d) | numberofnodeshavingdegreedinG |\n| N(u) | neighborsofnodeuinG |\n| Rσ | truncatednormaldistributionon[0,1] |\n| r←Reσ | asamplefromthedistributionRσ |","| p(p)iuv | probabilityofedgee(e)iuv |\n| --- | --- |\n| np | numberofpotentialedges,\\|E\\|=m+np |\n| A,A | adjacencymatricesofG,G0 |\n| PRW | randomwalktransitionmatrixofG0 |\n| B | uncertainadjacencymatrix,B=AP |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| )G=(V,E0G0 | \\|truegraphwithn=\\|V\\|andm=\\|EG0 |\n| G=(V,E,p) | uncertaingraphconstructedfromG0 |\n| G=(V,E)G | samplegraphfromG,G(cid:118)G |\n| d(G),d(G)uu | degreeofnodeuinG,G |\n| ∆(d) | numberofnodeshavingdegreedinG |\n| N(u) | neighborsofnodeuinG |\n| Rσ | truncatednormaldistributionon[0,1] |\n| r←Reσ | asamplefromthedistributionRσ |","| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| --- | --- |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",0]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |","| SMsandSPs | 13and192 |\n| --- | --- |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",1]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |","| CUDASDK | 7.5 |\n| --- | --- |\n| PCIeBus | PCIex16Gen2 |",1]
["| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |","| DeviceMemorySize | 5GBGDDR5 |\n| --- | --- |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |","| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| --- | --- | --- | --- | --- | --- |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",1]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |","| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r1 | SMGavaskar | 125 | 10122 | 236 | s1 |\n| r2 | LalaAmarnath | 24 | 878 | 118 | s1 |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |\n| r4 | Gavaskar | 125 | 10122 | 236 | s2 |\n| r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |\n| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |\n| r7 | SunilGavaskar | 125 | 10122 | 236 | s3 |\n| r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |\n| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",0]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |","| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |\n| --- | --- | --- | --- | --- | --- |\n| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",1]
["| record | Name | Matches | Runs | Highest | Source |\n| --- | --- | --- | --- | --- | --- |\n| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |","| r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |\n| --- | --- | --- | --- | --- | --- |\n| r9 | YograjSingh | 1 | 10 | 6 | s3 |\n| r10 | YSingh | 40 | 1900 | 169 | s4 |",0]
["|  | kNN | RDF | CNN | CNN+LF |\n| --- | --- | --- | --- | --- |\n| Chores | 33.10 | 17.24 | 00.69 | 20.00 |\n| Driving | 55.07 | 60.87 | 98.55 | 96.62 |\n| Cooking | 25.66 | 35.53 | 47.37 | 60.53 |\n| Exercising | 44.00 | 63.00 | 69.00 | 73.00 |\n| Reading | 68.55 | 49.12 | 30.04 | 53.36 |\n| Presentation | 80.00 | 72.35 | 80.59 | 87.06 |\n| Dogs | 62.17 | 44.35 | 55.65 | 66.09 |\n| Resting | 72.73 | 54.55 | 27.27 | 45.45 |\n| Eating | 77.14 | 75.75 | 82.05 | 83.12 |\n| Working | 91.10 | 96.42 | 93.49 | 95.19 |\n| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |\n| TV | 77.38 | 75.79 | 81.75 | 81.75 |\n| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |","| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |\n| --- | --- | --- | --- | --- |\n| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |\n| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |\n| Biking | 19.57 | 23.19 | 78.26 | 81.88 |\n| Family | 70.82 | 87.42 | 86.69 | 90.15 |\n| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |\n| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",1]
["|  | kNN | RDF | CNN | CNN+LF |\n| --- | --- | --- | --- | --- |\n| Chores | 33.10 | 17.24 | 00.69 | 20.00 |\n| Driving | 55.07 | 60.87 | 98.55 | 96.62 |\n| Cooking | 25.66 | 35.53 | 47.37 | 60.53 |\n| Exercising | 44.00 | 63.00 | 69.00 | 73.00 |\n| Reading | 68.55 | 49.12 | 30.04 | 53.36 |\n| Presentation | 80.00 | 72.35 | 80.59 | 87.06 |\n| Dogs | 62.17 | 44.35 | 55.65 | 66.09 |\n| Resting | 72.73 | 54.55 | 27.27 | 45.45 |\n| Eating | 77.14 | 75.75 | 82.05 | 83.12 |\n| Working | 91.10 | 96.42 | 93.49 | 95.19 |\n| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |\n| TV | 77.38 | 75.79 | 81.75 | 81.75 |\n| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |","| Classes | NumberofImages | PercentofDataset |\n| --- | --- | --- |\n| Chores | 725 | 1.79 |\n| Driving | 1031 | 2.54 |\n| Cooking | 759 | 1.87 |\n| Exercising | 502 | 1.24 |\n| Reading | 1414 | 3.48 |\n| Presentation | 848 | 2.09 |\n| Dogs | 1149 | 2.83 |\n| Resting | 106 | 0.26 |\n| Eating | 4699 | 11.58 |\n| Working | 13895 | 34.24 |\n| Chatting | 113 | 0.28 |\n| TV | 1584 | 3.90 |\n| Meeting | 1312 | 3.23 |\n| Cleaning | 642 | 1.59 |\n| Socializing | 970 | 2.39 |\n| Shopping | 606 | 1.49 |\n| Biking | 696 | 1.71 |\n| Family | 8267 | 20.37 |\n| Hygiene | 1266 | 3.12 |",0]
["|  | kNN | RDF | CNN | CNN+LF |\n| --- | --- | --- | --- | --- |\n| Chores | 33.10 | 17.24 | 00.69 | 20.00 |\n| Driving | 55.07 | 60.87 | 98.55 | 96.62 |","| Cooking | 25.66 | 35.53 | 47.37 | 60.53 |\n| --- | --- | --- | --- | --- |\n| Exercising | 44.00 | 63.00 | 69.00 | 73.00 |\n| Reading | 68.55 | 49.12 | 30.04 | 53.36 |\n| Presentation | 80.00 | 72.35 | 80.59 | 87.06 |\n| Dogs | 62.17 | 44.35 | 55.65 | 66.09 |\n| Resting | 72.73 | 54.55 | 27.27 | 45.45 |\n| Eating | 77.14 | 75.75 | 82.05 | 83.12 |\n| Working | 91.10 | 96.42 | 93.49 | 95.19 |\n| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |\n| TV | 77.38 | 75.79 | 81.75 | 81.75 |\n| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |\n| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |\n| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |\n| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |\n| Biking | 19.57 | 23.19 | 78.26 | 81.88 |\n| Family | 70.82 | 87.42 | 86.69 | 90.15 |\n| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |\n| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",1]
["|  | kNN | RDF | CNN | CNN+LF |\n| --- | --- | --- | --- | --- |\n| Chores | 33.10 | 17.24 | 00.69 | 20.00 |\n| Driving | 55.07 | 60.87 | 98.55 | 96.62 |","| Cleaning | 642 | 1.59 |\n| --- | --- | --- |\n| Socializing | 970 | 2.39 |\n| Shopping | 606 | 1.49 |\n| Biking | 696 | 1.71 |\n| Family | 8267 | 20.37 |\n| Hygiene | 1266 | 3.12 |",0]
["| 1x8100(HOGFeatureofimage1) |\n| --- |\n| 1x8100(HOGFeatureofimage2) |\n| 1x8100(HOGFeatureofimage3) |\n| 1x8100(HOGFeatureofimage4) |\n| ............ |\n| ............ |\n| ............ |","| ............ |\n| --- |\n| 1x8100(HOGFeatureofimage(N-1)) |\n| 1x8100(HOGFeatureofimageN) |",1]
["| 1x8100(HOGFeatureofimage1) |\n| --- |\n| 1x8100(HOGFeatureofimage2) |\n| 1x8100(HOGFeatureofimage3) |\n| 1x8100(HOGFeatureofimage4) |\n| ............ |\n| ............ |\n| ............ |","| image | base | mtbdd<br>(1)(2) |\n| --- | --- | --- |\n| image0 | 3574 | 134.612236 |\n| image1 | 32.01 | 1.7841.90 |\n| image2 | 350.72 | 13.88285.48 |\n| image3 | 4000 | 214.641898.21 |\n| image4 | sameasimage3 | 148.95533.52 |",0]
["| 1x8100(HOGFeatureofimage1) |\n| --- |\n| 1x8100(HOGFeatureofimage2) |\n| 1x8100(HOGFeatureofimage3) |\n| 1x8100(HOGFeatureofimage4) |","| ............ |\n| --- |\n| ............ |\n| ............ |\n| ............ |\n| 1x8100(HOGFeatureofimage(N-1)) |\n| 1x8100(HOGFeatureofimageN) |",1]
["| 1x8100(HOGFeatureofimage1) |\n| --- |\n| 1x8100(HOGFeatureofimage2) |\n| 1x8100(HOGFeatureofimage3) |\n| 1x8100(HOGFeatureofimage4) |","| image2 | 350.72 | 13.88285.48 |\n| --- | --- | --- |\n| image3 | 4000 | 214.641898.21 |\n| image4 | sameasimage3 | 148.95533.52 |",0]
["| Type | CodeParameters | Ref. |\n| --- | --- | --- |\n| MBCR | n≥d+t,d≥k,t≥1 |  |","| MBCR | n=d+t,d=k,t≥1 |  |\n| --- | --- | --- |\n| MBCR | n=d+t,d≥k,t≥1 |  |\n| MSCR | n=d+2,k=t=2 |  |\n| MSCR | n=2k,d=n−2,k≥2,t=2 |  |\n| MSCR | n=2k,d=n−t,k≥2,k≥t≥2<br>(repairofsystematicnodesonly) |  |",1]
["| Type | CodeParameters | Ref. |\n| --- | --- | --- |\n| MBCR | n≥d+t,d≥k,t≥1 |  |","| Code(n=2k-1,d=2k-2) | k=4 | k=8 | k=16 |\n| --- | --- | --- | --- |\n| VanillaPMMSR(non-systematic) | 50 | 75 | 87 |\n| SparsePMMSR(non-systematic) | 64 | 85 | 93 |\n| VanillaPMMSR(systematic) | 0 | 0 | 0 |\n| SparsePMMSR(systematic) | 50 | 75 | 88 |",0]
["| Type | CodeParameters | Ref. |\n| --- | --- | --- |\n| MBCR | n≥d+t,d≥k,t≥1 |  |","| MBCR | n=d+t,d=k,t≥1 |  |\n| --- | --- | --- |\n| MBCR | n=d+t,d≥k,t≥1 |  |\n| MSCR | n=d+2,k=t=2 |  |\n| MSCR | n=2k,d=n−2,k≥2,t=2 |  |\n| MSCR | n=2k,d=n−t,k≥2,k≥t≥2<br>(repairofsystematicnodesonly) |  |",1]
["| Type | CodeParameters | Ref. |\n| --- | --- | --- |\n| MBCR | n≥d+t,d≥k,t≥1 |  |","| VanillaPMMSR(systematic) | 0 | 0 | 0 |\n| --- | --- | --- | --- |\n| SparsePMMSR(systematic) | 50 | 75 | 88 |",0]
["|  | Contextuals | Defaulters | Overall |\n| --- | --- | --- | --- |\n| A1 | 0.4839 | 0.6444 | 0.5717 |\n| A2 | 0.4558 | 0.6395 | 0.5605 |","| Permission | 0.0040 | 0.0038 | 0.0050 |\n| --- | --- | --- | --- |\n| Time | 0.0487 | 0.1391 | 0.0130 |\n| Visibility | 0.0015 | 0.0007 | 0.0010 |",1]
["|  | Contextuals | Defaulters | Overall |\n| --- | --- | --- | --- |\n| A1 | 0.4839 | 0.6444 | 0.5717 |\n| A2 | 0.4558 | 0.6395 | 0.5605 |","| Dataset | Restaurants | Laptops |\n| --- | --- | --- |\n| No-Target | 0.772 | 0.708 |\n| No-Interaction | 0.769 | 0.706 |\n| Target2Content | 0.775 | 0.712 |\n| IAN | 0.786 | 0.721 |",0]
["|  | Contextuals | Defaulters | Overall |\n| --- | --- | --- | --- |\n| A1 | 0.4839 | 0.6444 | 0.5717 |","| A2 | 0.4558 | 0.6395 | 0.5605 |\n| --- | --- | --- | --- |\n| Permission | 0.0040 | 0.0038 | 0.0050 |\n| Time | 0.0487 | 0.1391 | 0.0130 |\n| Visibility | 0.0015 | 0.0007 | 0.0010 |",1]
["|  | Contextuals | Defaulters | Overall |\n| --- | --- | --- | --- |\n| A1 | 0.4839 | 0.6444 | 0.5717 |","| No-Interaction | 0.769 | 0.706 |\n| --- | --- | --- |\n| Target2Content | 0.775 | 0.712 |\n| IAN | 0.786 | 0.721 |",0]
["| Dataset | MBSGD | ASSGD | ASHR |\n| --- | --- | --- | --- |\n| MNIST | 0.179s | 0.208s | 0.205s |\n| URL | 0.080s | 0.092s | 0.092s |","| CIFAR10 | 0.245s | 0.295s | 0.296s |\n| --- | --- | --- | --- |\n| CIFAR-DA | 0.110s | 0.119s | 0.119s |",1]
["| Dataset | MBSGD | ASSGD | ASHR |\n| --- | --- | --- | --- |\n| MNIST | 0.179s | 0.208s | 0.205s |\n| URL | 0.080s | 0.092s | 0.092s |","| Dataset | Site1 | Site2 | Site3 | Site4 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | Time | Accuracy | Time | Accuracy | Time | Accuracy | Time |  |\n| Mfeat-Fac | 100 | 0.1365 | 100 | 0.256 | 100 | 0.143 | - | - |\n| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |\n| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 |",0]
["| Dataset | MBSGD | ASSGD | ASHR |\n| --- | --- | --- | --- |\n| MNIST | 0.179s | 0.208s | 0.205s |","| URL | 0.080s | 0.092s | 0.092s |\n| --- | --- | --- | --- |\n| CIFAR10 | 0.245s | 0.295s | 0.296s |\n| CIFAR-DA | 0.110s | 0.119s | 0.119s |",1]
["| Dataset | MBSGD | ASSGD | ASHR |\n| --- | --- | --- | --- |\n| MNIST | 0.179s | 0.208s | 0.205s |","| Pendigits | 100 | 0.062 | 99.53 | 0.110 | 100 | 0.049 | 100 | 1.0132 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SDSS | 100 | 49.996 | 89.09 | 115.76 | 89.13 | 369.93 | 89.76 | 1728.097 |",0]
["| Dataset | Participants | Resolution | FPS | Samples |\n| --- | --- | --- | --- | --- |\n| Polikovsky | 11 | 640×480 | 200 | 13 |\n| USF-HD | N/A | 720×1280 | 29.7 | 100 |\n| YorkDDT | 9 | 320×240 | 25 | 18 |\n| CASME | 35 | 640×480,1280×720 | 60 | 195 |\n| SMIC | 20 | 640×480 | 100and25 | 164 |","| CASMEII | 35 | 640×480 | 200 | 247 |\n| --- | --- | --- | --- | --- |\n| SAMM | 32 | 2040×1088 | 200 | 159 |\n| 2<br>CAS(ME) | 22 | 640×480 | 30 | 250macro,53micro |",1]
["| Dataset | Participants | Resolution | FPS | Samples |\n| --- | --- | --- | --- | --- |\n| Polikovsky | 11 | 640×480 | 200 | 13 |\n| USF-HD | N/A | 720×1280 | 29.7 | 100 |\n| YorkDDT | 9 | 320×240 | 25 | 18 |\n| CASME | 35 | 640×480,1280×720 | 60 | 195 |\n| SMIC | 20 | 640×480 | 100and25 | 164 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |\n| kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |\n| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |\n| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |\n| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",0]
["| Dataset | Participants | Resolution | FPS | Samples |\n| --- | --- | --- | --- | --- |\n| Polikovsky | 11 | 640×480 | 200 | 13 |\n| USF-HD | N/A | 720×1280 | 29.7 | 100 |\n| YorkDDT | 9 | 320×240 | 25 | 18 |\n| CASME | 35 | 640×480,1280×720 | 60 | 195 |\n| SMIC | 20 | 640×480 | 100and25 | 164 |\n| CASMEII | 35 | 640×480 | 200 | 247 |","| SAMM | 32 | 2040×1088 | 200 | 159 |\n| --- | --- | --- | --- | --- |\n| 2<br>CAS(ME) | 22 | 640×480 | 30 | 250macro,53micro |",1]
["| Dataset | Participants | Resolution | FPS | Samples |\n| --- | --- | --- | --- | --- |\n| Polikovsky | 11 | 640×480 | 200 | 13 |\n| USF-HD | N/A | 720×1280 | 29.7 | 100 |\n| YorkDDT | 9 | 320×240 | 25 | 18 |\n| CASME | 35 | 640×480,1280×720 | 60 | 195 |\n| SMIC | 20 | 640×480 | 100and25 | 164 |\n| CASMEII | 35 | 640×480 | 200 | 247 |","| kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |\n| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |\n| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",0]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |","| 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 |\n| --- | --- | --- |\n| 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |\n| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 |",1]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |","| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |\n| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |\n| 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 |","| 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |\n| --- | --- | --- |\n| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 |",1]
["| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |\n| 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 |","| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| --- | --- | --- |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| Methods | Depth |\n| --- | --- |\n| HOG | 32.24 |\n| SuperNormalVector | 31.82 |\n| HON4D | 30.56 |\n| LieGroup | 50.08 |\n| SkeletalQuads | 38.62 |\n| FTPDynamicSkeletons | 60.23 |\n| HBRNN-L | 59.07 |","| 2LayerP-LSTM | 62.93 |\n| --- | --- |\n| ShuﬄeandLearn | 47.5 |\n| Ourmethod(Unsupervisedtraining) | 66.2 |",1]
["| Methods | Depth |\n| --- | --- |\n| HOG | 32.24 |\n| SuperNormalVector | 31.82 |\n| HON4D | 30.56 |\n| LieGroup | 50.08 |\n| SkeletalQuads | 38.62 |\n| FTPDynamicSkeletons | 60.23 |\n| HBRNN-L | 59.07 |","| Methods | Depth |\n| --- | --- |\n| DynamicTemporalWarping | 54.0 |\n| ActionletEnsemble | 85.8 |\n| HON4D | 85 |\n| 3DTrajectories | 72 |\n| Ourmethod(Unsupervisedtraining) | 86.9 |",0]
["| Methods | Depth |\n| --- | --- |\n| HOG | 32.24 |\n| SuperNormalVector | 31.82 |\n| HON4D | 30.56 |\n| LieGroup | 50.08 |\n| SkeletalQuads | 38.62 |","| FTPDynamicSkeletons | 60.23 |\n| --- | --- |\n| HBRNN-L | 59.07 |\n| 2LayerP-LSTM | 62.93 |\n| ShuﬄeandLearn | 47.5 |\n| Ourmethod(Unsupervisedtraining) | 66.2 |",1]
["| Methods | Depth |\n| --- | --- |\n| HOG | 32.24 |\n| SuperNormalVector | 31.82 |\n| HON4D | 30.56 |\n| LieGroup | 50.08 |\n| SkeletalQuads | 38.62 |","| HON4D | 85 |\n| --- | --- |\n| 3DTrajectories | 72 |\n| Ourmethod(Unsupervisedtraining) | 86.9 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Layer | Input/FilterDimensions |  |\n| --- | --- | --- |\n| Input | 512×512×1 | 512×512×1 |\n| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |\n| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |","| Conv3<br>MaxPooling | 64×3×3<br>2×2 |\n| --- | --- |\n| Conv4<br>MaxPooling | 64×3×3<br>2×2 |\n| FC1 | 2048 |\n| FC2 | 1024 |",1]
["| Layer | Input/FilterDimensions |  |\n| --- | --- | --- |\n| Input | 512×512×1 | 512×512×1 |\n| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |\n| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |","| Layer | Filter/Stride | Outputsize |\n| --- | --- | --- |\n| Input | – | 1×51×51 |\n| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |\n| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |\n| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |\n| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 |",0]
["| Layer | Input/FilterDimensions |  |\n| --- | --- | --- |\n| Input | 512×512×1 | 512×512×1 |\n| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |\n| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |\n| Conv3<br>MaxPooling | 64×3×3<br>2×2 |  |\n| Conv4<br>MaxPooling | 64×3×3<br>2×2 |  |","| FC1 | 2048 |\n| --- | --- |\n| FC2 | 1024 |",1]
["| Layer | Input/FilterDimensions |  |\n| --- | --- | --- |\n| Input | 512×512×1 | 512×512×1 |\n| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |\n| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |\n| Conv3<br>MaxPooling | 64×3×3<br>2×2 |  |\n| Conv4<br>MaxPooling | 64×3×3<br>2×2 |  |","| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| --- | --- | --- |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |\n| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |\n| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |\n| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 |",0]
["| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |\n| --- | --- | --- | --- | --- | --- |\n| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 |","| 1,261 | 20,715 | 1,067,516 | 58 | 0 | 6 |\n| --- | --- | --- | --- | --- | --- |\n| 200 | 400 | 40,033 | 100 | 0 | 2 |\n| 300 | 600 | 42,460 | 73 | 2 | 0 |",1]
["| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |\n| --- | --- | --- | --- | --- | --- |\n| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 |","| Imageandscheme | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| PlainLena | 0.9481 | 0.9737 | 0.9244 |\n| EncryptedLena | −0.0014 | 0.0025 | 0.0051 |\n| PlainBaboon | 0.8701 | 0.8411 | 0.7889 |\n| EncryptedBaboon | 0.0077 | −0.002 | −0.0039 |\n| PlainCameraman | 0.9556 | 0.9738 | 0.934 |\n| EncryptedCameraman | −5.84×10 | −0.0077 | 0.0015 |\n| PlainPirate | 0.9434 | 0.9564 | 0.9134 |\n| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |",0]
["| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |\n| --- | --- | --- | --- | --- | --- |\n| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 |\n| 1,261 | 20,715 | 1,067,516 | 58 | 0 | 6 |","| 200 | 400 | 40,033 | 100 | 0 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| 300 | 600 | 42,460 | 73 | 2 | 0 |",1]
["| identities | sequences | bboxes | #offrames | camsindoor | camsoutdoor |\n| --- | --- | --- | --- | --- | --- |\n| 3,772 | 14,943 | 2,989,436 | 200 | 3 | 12 |\n| 1,261 | 20,715 | 1,067,516 | 58 | 0 | 6 |","| PlainPirate | 0.9434 | 0.9564 | 0.9134 |\n| --- | --- | --- | --- |\n| EncryptedPirate | −0.002 | 5.25×10 | −0.0048 |",0]
["| Fold | Method | r1r2r3r4r5 |\n| --- | --- | --- |\n| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 |\n| 2 | SVD<br>@FEagle1<br>@FEagle2 | 1.601.040.550.430.87<br>1.110.770.670.581.02<br>1.050.770.680.601.00 |\n| 3 | SVD<br>@FEagle1<br>@FEagle2 | 1.650.990.550.450.89<br>1.200.740.660.601.02<br>1.150.740.660.640.98 |\n| 4 | SVD<br>@FEagle1<br>@FEagle2 | 1.621.040.530.450.87<br>1.210.750.660.591.02<br>1.140.750.660.601.02 |","| 5 | SVD<br>@FEagle1<br>@FEagle2 | 1.651.030.550.440.89<br>1.190.760.660.631.03<br>1.160.750.670.641.01 |\n| --- | --- | --- |\n| Mean | U<br>C<br>SVD<br>@FEagle1<br>@FEagle2 | 2.01.41.21.42.0<br>2.531.651.000.891.47<br>1.621.030.550.440.88<br>1.160.760.670.601.02<br>1.110.750.680.621.00 |",1]
["| Fold | Method | r1r2r3r4r5 |\n| --- | --- | --- |\n| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 |\n| 2 | SVD<br>@FEagle1<br>@FEagle2 | 1.601.040.550.430.87<br>1.110.770.670.581.02<br>1.050.770.680.601.00 |\n| 3 | SVD<br>@FEagle1<br>@FEagle2 | 1.650.990.550.450.89<br>1.200.740.660.601.02<br>1.150.740.660.640.98 |\n| 4 | SVD<br>@FEagle1<br>@FEagle2 | 1.621.040.530.450.87<br>1.210.750.660.591.02<br>1.140.750.660.601.02 |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Fold | Method | r1r2r3r4r5 |\n| --- | --- | --- |\n| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 |","| 2 | SVD<br>@FEagle1<br>@FEagle2 | 1.601.040.550.430.87<br>1.110.770.670.581.02<br>1.050.770.680.601.00 |\n| --- | --- | --- |\n| 3 | SVD<br>@FEagle1<br>@FEagle2 | 1.650.990.550.450.89<br>1.200.740.660.601.02<br>1.150.740.660.640.98 |\n| 4 | SVD<br>@FEagle1<br>@FEagle2 | 1.621.040.530.450.87<br>1.210.750.660.591.02<br>1.140.750.660.601.02 |\n| 5 | SVD<br>@FEagle1<br>@FEagle2 | 1.651.030.550.440.89<br>1.190.760.660.631.03<br>1.160.750.670.641.01 |\n| Mean | U<br>C<br>SVD<br>@FEagle1<br>@FEagle2 | 2.01.41.21.42.0<br>2.531.651.000.891.47<br>1.621.030.550.440.88<br>1.160.760.670.601.02<br>1.110.750.680.621.00 |",1]
["| Fold | Method | r1r2r3r4r5 |\n| --- | --- | --- |\n| 1 | SVD<br>@FEagle1<br>@FEagle2 | 1.581.040.560.440.86<br>1.110.760.690.611.02<br>1.030.750.710.630.99 |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["|  | Maxlength | Vocabulary | Classes | Documents | Test |\n| --- | --- | --- | --- | --- | --- |\n| MR | 64 | 18767 | 2 | 10662 | CV |\n| SST-1 | 61 | 17838 | 5 | 11855 |  |","| SST-2 | 61 | 16190 | 2 | 9613 |  |\n| --- | --- | --- | --- | --- | --- |\n| Subj | 128 | 21324 | 2 | 10000 | CV |\n| TREC | 45 | 8766 | 6 | 5952 |  |\n| CR | 113 | 5341 | 2 | 3775 | CV |\n| MPQA | 44 | 6248 | 2 | 10606 | CV |",1]
["|  | Maxlength | Vocabulary | Classes | Documents | Test |\n| --- | --- | --- | --- | --- | --- |\n| MR | 64 | 18767 | 2 | 10662 | CV |\n| SST-1 | 61 | 17838 | 5 | 11855 |  |","| Test<br>Case | HAMPI | Kaluza | SUSHI | CVC4 | Rex | XData<br>solver |\n| --- | --- | --- | --- | --- | --- | --- |\n| S1 | 150 | 706 | 22 | 6 | 124 | 4 |\n| S2 | 136 | 706 | 34 | 6 | 140 | 4 |\n| S3 | 139 | 708 | 39 | 9 | 140 | 4 |\n| S4 | - | 2444 | 175 | 17 | 168 | 15 |\n| S5 | - | 671 | 160 | 19 | 156 | 14 |\n| S6 | 137 | 380 | 54 | * | 256 | 4 |\n| S7 | - | 653 | - | 20 | - | 11 |\n| S8 | - | - | - | - | - | 23 |\n| S9 | - | - | - | - | - | 11 |\n| S10 | - | - | - | - | - | 30 |",0]
["|  | Maxlength | Vocabulary | Classes | Documents | Test |\n| --- | --- | --- | --- | --- | --- |\n| MR | 64 | 18767 | 2 | 10662 | CV |\n| SST-1 | 61 | 17838 | 5 | 11855 |  |\n| SST-2 | 61 | 16190 | 2 | 9613 |  |\n| Subj | 128 | 21324 | 2 | 10000 | CV |\n| TREC | 45 | 8766 | 6 | 5952 |  |","| CR | 113 | 5341 | 2 | 3775 | CV |\n| --- | --- | --- | --- | --- | --- |\n| MPQA | 44 | 6248 | 2 | 10606 | CV |",1]
["|  | Maxlength | Vocabulary | Classes | Documents | Test |\n| --- | --- | --- | --- | --- | --- |\n| MR | 64 | 18767 | 2 | 10662 | CV |\n| SST-1 | 61 | 17838 | 5 | 11855 |  |\n| SST-2 | 61 | 16190 | 2 | 9613 |  |\n| Subj | 128 | 21324 | 2 | 10000 | CV |\n| TREC | 45 | 8766 | 6 | 5952 |  |","| S4 | - | 2444 | 175 | 17 | 168 | 15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| S5 | - | 671 | 160 | 19 | 156 | 14 |\n| S6 | 137 | 380 | 54 | * | 256 | 4 |\n| S7 | - | 653 | - | 20 | - | 11 |\n| S8 | - | - | - | - | - | 23 |\n| S9 | - | - | - | - | - | 11 |\n| S10 | - | - | - | - | - | 30 |",0]
["| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>ﬁlling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |\n| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |\n| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |\n| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 |","| Cartesian | 7× | 27.9 | 28.6 | 30.9 | 31.1 | 31.1 | 31.2 | 31.4 | 32.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2DRandom | 4× | 25.2 | 26.1 | 33.0 | 31.7 | 32.8 | 33.1 | 33.1 | 35.6 |\n| 2DRandom | 7× | 25.3 | 26.4 | 31.7 | 31.1 | 30.9 | 31.9 | 32.1 | 33.3 |",1]
["| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>ﬁlling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |\n| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |\n| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |\n| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 |","| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |\n| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |\n| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",0]
["| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>ﬁlling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |\n| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |\n| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |\n| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 |","| Cartesian | 7× | 27.9 | 28.6 | 30.9 | 31.1 | 31.1 | 31.2 | 31.4 | 32.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2DRandom | 4× | 25.2 | 26.1 | 33.0 | 31.7 | 32.8 | 33.1 | 33.1 | 35.6 |\n| 2DRandom | 7× | 25.3 | 26.4 | 31.7 | 31.1 | 30.9 | 31.9 | 32.1 | 33.3 |",1]
["| Image | Sampling<br>Scheme | Under-<br>sampl. | Zero-<br>ﬁlling | Sparse<br>MRI | DL-<br>MRI | PBDWS | PANO | TL-<br>MRI | FRIST-<br>MRI | STROLLR-<br>MRI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| a | 2DRandom | 5× | 26.9 | 27.9 | 30.5 | 30.3 | 30.4 | 30.6 | 30.7 | 32.4 |\n| b | Cartesian | 2.5× | 28.1 | 31.7 | 37.5 | 42.5 | 40.0 | 40.7 | 40.9 | 44.0 |\n| c | Cartesian | 2.5× | 24.9 | 29.9 | 36.6 | 35.8 | 34.8 | 36.3 | 36.7 | 40.9 |\n| d | Cartesian | 4× | 28.9 | 29.7 | 32.7 | 31.7 | 32.7 | 32.8 | 33.0 | 35.2 |","| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| --- | --- | --- | --- | --- |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",0]
["|  | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |\n| --- | --- | --- | --- | --- | --- |\n| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 |\n| Edges | 7,029 | 31,562 | 63,722 | 74,053 | 57,284 |\n| Width(km) | 23.57 | 11.97 | 18.87 | 33.65 | 22.97 |\n| Height(km) | 26.92 | 12.48 | 10.20 | 16.14 | 20.19 |","| Area(km) | 634.44 | 149.40 | 192.47 | 543.11 | 463.76 |\n| --- | --- | --- | --- | --- | --- |\n| Totalstreetlength(km) | 1,301.70 | 1,531.64 | 4,344.18 | 5,856.25 | 2,853.83 |",1]
["|  | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |\n| --- | --- | --- | --- | --- | --- |\n| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 |\n| Edges | 7,029 | 31,562 | 63,722 | 74,053 | 57,284 |\n| Width(km) | 23.57 | 11.97 | 18.87 | 33.65 | 22.97 |\n| Height(km) | 26.92 | 12.48 | 10.20 | 16.14 | 20.19 |","| Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Time(s) | Nodes | NodesinPath | Time(s) | Bound |  |  |  |\n| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |\n| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",0]
["|  | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |\n| --- | --- | --- | --- | --- | --- |\n| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 |","| Edges | 7,029 | 31,562 | 63,722 | 74,053 | 57,284 |\n| --- | --- | --- | --- | --- | --- |\n| Width(km) | 23.57 | 11.97 | 18.87 | 33.65 | 22.97 |\n| Height(km) | 26.92 | 12.48 | 10.20 | 16.14 | 20.19 |\n| Area(km) | 634.44 | 149.40 | 192.47 | 543.11 | 463.76 |\n| Totalstreetlength(km) | 1,301.70 | 1,531.64 | 4,344.18 | 5,856.25 | 2,853.83 |",1]
["|  | Oldenburg | Hanoi | Paris-zone1 | Singapore | SanJoaquin |\n| --- | --- | --- | --- | --- | --- |\n| Nodes | 6,105 | 27,213 | 42,494 | 54,674 | 52,528 |","| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |\n| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",0]
["| PABG | WABG | WRBG |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |\n| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |\n| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |\n| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |","| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |\n| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |\n| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |\n| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 |",1]
["| PABG | WABG | WRBG |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |\n| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |\n| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |\n| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |","| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ |  |  |\n| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |\n| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 |  |\n| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |\n| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 |  |\n| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |\n| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 |  |\n| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |\n| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 |  |\n| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 |  |",0]
["| PABG | WABG | WRBG |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |\n| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |\n| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |\n| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |\n| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |","| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |\n| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |\n| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 |",1]
["| PABG | WABG | WRBG |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |\n| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |\n| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |\n| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |\n| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |","| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |\n| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 |  |\n| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |\n| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 |  |\n| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 |  |",0]
["| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |","| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",1]
["| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |","| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |","| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",1]
["| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |","| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suﬃxarray<br>OverheadTime | mvp-tree<br>OverheadTime |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 |\n| 6 | 10 | 12.1 | 0.2 | 7.1 | 0.1 | 3809.0 | 84.1 | 6614.3 | 38.8 |","| 9 | 1 | 1869.7 | 1.6 | 1303.6 | 1.3 | 73374.7 | 135.9 | 1021975.1 | 689.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 10 | 902.7 | 4.5 | 615.5 | 3.3 | 14975.5 | 188.5 | 214246.4 | 1491.4 |",1]
["| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suﬃxarray<br>OverheadTime | mvp-tree<br>OverheadTime |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 |\n| 6 | 10 | 12.1 | 0.2 | 7.1 | 0.1 | 3809.0 | 84.1 | 6614.3 | 38.8 |","| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suﬃxarray<br>OverheadTime | mvp-tree<br>OverheadTime |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 |","| 6 | 10 | 12.1 | 0.2 | 7.1 | 0.1 | 3809.0 | 84.1 | 6614.3 | 38.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 1 | 1869.7 | 1.6 | 1303.6 | 1.3 | 73374.7 | 135.9 | 1021975.1 | 689.0 |\n| 9 | 10 | 902.7 | 4.5 | 615.5 | 3.3 | 14975.5 | 188.5 | 214246.4 | 1491.4 |",1]
["| Length | NN | FSIndex(kNN)<br>OverheadTime | FSIndex(range)<br>OverheadTime | Suﬃxarray<br>OverheadTime | mvp-tree<br>OverheadTime |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 1 | 15.0 | 0.1 | 9.9 | 0.1 | 20395.1 | 62.8 | 8377.6 | 4.8 |","| 31 | 496 | 167.9 | 0.34 |\n| --- | --- | --- | --- |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |\n| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 |","| elevator | 40 | 17 | 7 | 37 | 10 | 23 | 17 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| f.fire | 50 | 10 | 40 | 50 | 57 | 40 | 50 |\n| fountain | 7 | 10 | 0 | 27 | 17 | 47 | 0 |\n| highway | 17 | 17 | 77 | 47 | 53 | 33 | 60 |\n| l.storm | 37 | 97 | 97 | 97 | 93 | 97 | 100 |\n| ocean | 43 | 30 | 60 | 70 | 80 | 87 | 77 |\n| railway | 3 | 17 | 60 | 57 | 23 | 40 | 60 |\n| r.river | 3 | 87 | 60 | 90 | 83 | 87 | 77 |\n| sky | 33 | 23 | 30 | 47 | 43 | 50 | 57 |\n| snowing | 10 | 77 | 73 | 80 | 90 | 90 | 93 |\n| waterfall | 10 | 17 | 50 | 37 | 30 | 37 | 37 |\n| w.farm | 17 | 03 | 30 | 13 | 20 | 10 | 33 |",1]
["| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |\n| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 |","| Class | mEAS | CorLoc | Class | mEAS | CorLoc |\n| --- | --- | --- | --- | --- | --- |\n| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |\n| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |\n| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |\n| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |\n| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |\n| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |\n| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |\n| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |\n| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",0]
["| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |\n| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 |","| elevator | 40 | 17 | 7 | 37 | 10 | 23 | 17 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| f.fire | 50 | 10 | 40 | 50 | 57 | 40 | 50 |\n| fountain | 7 | 10 | 0 | 27 | 17 | 47 | 0 |\n| highway | 17 | 17 | 77 | 47 | 53 | 33 | 60 |\n| l.storm | 37 | 97 | 97 | 97 | 93 | 97 | 100 |\n| ocean | 43 | 30 | 60 | 70 | 80 | 87 | 77 |\n| railway | 3 | 17 | 60 | 57 | 23 | 40 | 60 |\n| r.river | 3 | 87 | 60 | 90 | 83 | 87 | 77 |\n| sky | 33 | 23 | 30 | 47 | 43 | 50 | 57 |\n| snowing | 10 | 77 | 73 | 80 | 90 | 90 | 93 |\n| waterfall | 10 | 17 | 50 | 37 | 30 | 37 | 37 |\n| w.farm | 17 | 03 | 30 | 13 | 20 | 10 | 33 |",1]
["| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |\n| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 |","| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| --- | --- | --- | --- | --- | --- |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",0]
["| Functionalobject | Humanneed |\n| --- | --- |\n| Vendingmachine/Foodtruck/Table | Hunger |\n| Waterfountain/Vendingmachine | Thirst |\n| ATM/Bank | Money |","| Chair/Table/Bench/Grass | Rest |\n| --- | --- |\n| Newsstand/Adbillboard | Information |\n| Trashcan | Hygiene |\n| Bush/Tree | Shadefromthesun |",1]
["| Functionalobject | Humanneed |\n| --- | --- |\n| Vendingmachine/Foodtruck/Table | Hunger |\n| Waterfountain/Vendingmachine | Thirst |\n| ATM/Bank | Money |","| PASCALVOC | COCO |\n| --- | --- |\n| aeroplane | airplane |\n| bike | bicycle |\n| bird | bird |\n| boat | boat |\n| bottle | bottle |\n| bus | bus |\n| car | car |\n| cat | cat |\n| chair | chair |\n| cow | cow |\n| diningtable | diningtable |\n| dog | dog |\n| horse | horse |\n| motorbike | motorcycle |\n| person | person |\n| pottedplant | pottedplant |\n| sheep | sheep |\n| sofa | couch |\n| train | train |\n| tv | tv |",0]
["| Functionalobject | Humanneed |\n| --- | --- |\n| Vendingmachine/Foodtruck/Table | Hunger |","| Waterfountain/Vendingmachine | Thirst |\n| --- | --- |\n| ATM/Bank | Money |\n| Chair/Table/Bench/Grass | Rest |\n| Newsstand/Adbillboard | Information |\n| Trashcan | Hygiene |\n| Bush/Tree | Shadefromthesun |",1]
["| Functionalobject | Humanneed |\n| --- | --- |\n| Vendingmachine/Foodtruck/Table | Hunger |","| sofa | couch |\n| --- | --- |\n| train | train |\n| tv | tv |",0]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99890.69880.95010.8086 |\n| Feed-ForwardNN | 0.77680.50410.88790.5763 |","| Conv1D | 0.83120.67130.91650.7371 |\n| --- | --- |\n| LSTMRNN | 0.81060.69710.91540.7445 |\n| GRURNN | 0.79360.69710.91260.7397 |",1]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99890.69880.95010.8086 |\n| Feed-ForwardNN | 0.77680.50410.88790.5763 |","|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99460.49370.91100.6305 |\n| Feed-ForwardNN | 0.93470.80370.95800.8589 |\n| Conv1D | 0.77080.46730.88580.5377 |\n| LSTMRNN | 0.62040.38290.88050.4348 |\n| GRURNN | 0.83510.64740.91680.7181 |",0]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99890.69880.95010.8086 |\n| Feed-ForwardNN | 0.77680.50410.88790.5763 |\n| Conv1D | 0.83120.67130.91650.7371 |","| LSTMRNN | 0.81060.69710.91540.7445 |\n| --- | --- |\n| GRURNN | 0.79360.69710.91260.7397 |",1]
["|  | Training |\n| --- | --- |\n| Model | PrecisionRecallAccuracyF1 |\n| LogisticRegression | 0.95640.94400.97860.9501 |\n| RandomForest | 0.99890.69880.95010.8086 |\n| Feed-ForwardNN | 0.77680.50410.88790.5763 |\n| Conv1D | 0.83120.67130.91650.7371 |","| LSTMRNN | 0.62040.38290.88050.4348 |\n| --- | --- |\n| GRURNN | 0.83510.64740.91680.7181 |",0]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 19 | 3 | 1 | - | - | 9 |\n| SL | 3 | 25 | - | - | - | 12 |","| SR | 1 | 2 | 31 | - | 1 | 26 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BH | 1 | - | - | 20 | 2 | 15 |\n| SH | - | - | - | 1 | 23 | 28 |\n| Del | 1 | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 90 |",1]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 19 | 3 | 1 | - | - | 9 |\n| SL | 3 | 25 | - | - | - | 12 |","|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 15 | 4 | - | 6 | 1 | 1 |\n| SL | 2 | 17 | 1 | - | 9 | 15 |\n| SR | 2 | 1 | 27 | 1 | 5 | 8 |\n| BH | 5 | - | - | 14 | 2 | 6 |\n| SH | - | 7 | 4 | - | 9 | 12 |\n| Del | 1 | 2 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",0]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 19 | 3 | 1 | - | - | 9 |\n| SL | 3 | 25 | - | - | - | 12 |\n| SR | 1 | 2 | 31 | - | 1 | 26 |\n| BH | 1 | - | - | 20 | 2 | 15 |","| SH | - | - | - | 1 | 23 | 28 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Del | 1 | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 90 |",1]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 19 | 3 | 1 | - | - | 9 |\n| SL | 3 | 25 | - | - | - | 12 |\n| SR | 1 | 2 | 31 | - | 1 | 26 |\n| BH | 1 | - | - | 20 | 2 | 15 |","| Del | 1 | 2 | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",0]
["| Parametername | Parametervalue |\n| --- | --- |\n| α1 | 9 |\n| α2 | 7 |\n| β1 | 4 |\n| β2 | 28 |\n| ml | 6 |\n| N | 300 |\n| M | 5 |","| L | 4 |\n| --- | --- |\n| #rounds | 100 |\n| #simulationruns | 10 |",1]
["| Parametername | Parametervalue |\n| --- | --- |\n| α1 | 9 |\n| α2 | 7 |\n| β1 | 4 |\n| β2 | 28 |\n| ml | 6 |\n| N | 300 |\n| M | 5 |","| ParameterName | ParameterDescritption | ParameterValue |\n| --- | --- | --- |\n| α | LearningRate | 0.001 |\n| β | RegularizationControl | 0.02 |\n| NEP | NumberofEpochs | 5000 |\n| U | NumberofSamples | 604 |\n| V | NumberofSNPs | 1980 |\n| F | NumberofFeatures | 400 |\n| eta1 | etaforTrait1 | 0.2 |\n| eta2 | etaforTrait2 | 0.2 |\n| K1 | KforTrait1 | 3 |\n| K2 | KforTrait2 | 4 |\n| [a,b] | BoundaryvaluesforPandQ | [0,1] |",0]
["| Parametername | Parametervalue |\n| --- | --- |\n| α1 | 9 |","| α2 | 7 |\n| --- | --- |\n| β1 | 4 |\n| β2 | 28 |\n| ml | 6 |\n| N | 300 |\n| M | 5 |\n| L | 4 |\n| #rounds | 100 |\n| #simulationruns | 10 |",1]
["| Parametername | Parametervalue |\n| --- | --- |\n| α1 | 9 |","| U | NumberofSamples | 604 |\n| --- | --- | --- |\n| V | NumberofSNPs | 1980 |\n| F | NumberofFeatures | 400 |\n| eta1 | etaforTrait1 | 0.2 |\n| eta2 | etaforTrait2 | 0.2 |\n| K1 | KforTrait1 | 3 |\n| K2 | KforTrait2 | 4 |\n| [a,b] | BoundaryvaluesforPandQ | [0,1] |",0]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.7061 | 0.7240 | 0.5406 |\n| RGB+dist | 0.7266 | 0.7493 | 0.5619 |","| RGB+coord | 0.7235 | 0.7368 | 0.5517 |\n| --- | --- | --- | --- |\n| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 |",1]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.7061 | 0.7240 | 0.5406 |\n| RGB+dist | 0.7266 | 0.7493 | 0.5619 |","|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.6832 | 0.7018 | 0.5261 |\n| RGB+dist | 0.7228 | 0.7445 | 0.5611 |\n| RGB+coord | 0.7213 | 0.7342 | 0.5507 |\n| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 |",0]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.7061 | 0.7240 | 0.5406 |","| RGB+dist | 0.7266 | 0.7493 | 0.5619 |\n| --- | --- | --- | --- |\n| RGB+coord | 0.7235 | 0.7368 | 0.5517 |\n| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 |",1]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.7061 | 0.7240 | 0.5406 |","| RGB+dist | 0.7228 | 0.7445 | 0.5611 |\n| --- | --- | --- | --- |\n| RGB+coord | 0.7213 | 0.7342 | 0.5507 |\n| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 |",0]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |","| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| --- |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |","| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |","| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| --- |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |","| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| --- |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| CellID/Tech | Type | Charging |\n| --- | --- | --- |\n| A1/2G | Network | - |","| A2/4G | Network | - |\n| --- | --- | --- |\n| A1/2G | CDR | Prepaid |\n| A2/4G | CDR | Postpaid |",1]
["| CellID/Tech | Type | Charging |\n| --- | --- | --- |\n| A1/2G | Network | - |","| Net | ISPA |\n| --- | --- |\n| A<br>B | 55.50<br>31.00 |\n| A<br>B | 61.00<br>52.00 |\n| A<br>B | 66.50<br>73.00 |\n| A<br>B | 72.00<br>87.37 |",0]
["| CellID/Tech | Type | Charging |\n| --- | --- | --- |\n| A1/2G | Network | - |\n| A2/4G | Network | - |","| A1/2G | CDR | Prepaid |\n| --- | --- | --- |\n| A2/4G | CDR | Postpaid |",1]
["| CellID/Tech | Type | Charging |\n| --- | --- | --- |\n| A1/2G | Network | - |\n| A2/4G | Network | - |","| A<br>B | 66.50<br>73.00 |\n| --- | --- |\n| A<br>B | 72.00<br>87.37 |",0]
["| i | distribution | AIC/M |\n| --- | --- | --- |\n| 1 | Power-Law | 15.972 |\n| 2 | ShiftedPower-Law | 15.782 |\n| 3 | Power-LawwithExponentialcutoﬀ(tail) | 15.662 |","| 4 | Power-LawwithExponentialcutoﬀ(beginning) | 15.821 |\n| --- | --- | --- |\n| 5 | Log-normal | 15.574 |\n| 6 | Weibull | 17.740 |\n| 7 | DoublePower-Law | 15.525 |",1]
["| i | distribution | AIC/M |\n| --- | --- | --- |\n| 1 | Power-Law | 15.972 |\n| 2 | ShiftedPower-Law | 15.782 |\n| 3 | Power-LawwithExponentialcutoﬀ(tail) | 15.662 |","| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |\n| α | 60 | C | 10 | k | ∞ |\n| Vt | 0 | γ | 60 | q | 10 |\n| m0 | −400 | m1 | 400 | imin | 10 |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| i | distribution | AIC/M |\n| --- | --- | --- |\n| 1 | Power-Law | 15.972 |\n| 2 | ShiftedPower-Law | 15.782 |\n| 3 | Power-LawwithExponentialcutoﬀ(tail) | 15.662 |\n| 4 | Power-LawwithExponentialcutoﬀ(beginning) | 15.821 |","| 5 | Log-normal | 15.574 |\n| --- | --- | --- |\n| 6 | Weibull | 17.740 |\n| 7 | DoublePower-Law | 15.525 |",1]
["| i | distribution | AIC/M |\n| --- | --- | --- |\n| 1 | Power-Law | 15.972 |\n| 2 | ShiftedPower-Law | 15.782 |\n| 3 | Power-LawwithExponentialcutoﬀ(tail) | 15.662 |\n| 4 | Power-LawwithExponentialcutoﬀ(beginning) | 15.821 |","| m0 | −400 | m1 | 400 | imin | 10 |\n| --- | --- | --- | --- | --- | --- |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| Emotion | Frequency |\n| --- | --- |\n| Amusement | 5 |\n| Sadness | 6 |\n| Disgust | 88 |\n| Surprise | 20 |\n| Contempt | 3 |\n| Fear | 2 |","| Repression | 40 |\n| --- | --- |\n| Tense | 28 |",1]
["| Emotion | Frequency |\n| --- | --- |\n| Amusement | 5 |\n| Sadness | 6 |\n| Disgust | 88 |\n| Surprise | 20 |\n| Contempt | 3 |\n| Fear | 2 |","| Emotion | Frequency |\n| --- | --- |\n| Happiness | 33 |\n| Disgust | 60 |\n| Surprise | 25 |\n| Repression | 27 |\n| Others | 102 |",0]
["| Emotion | Frequency |\n| --- | --- |\n| Amusement | 5 |\n| Sadness | 6 |","| Disgust | 88 |\n| --- | --- |\n| Surprise | 20 |\n| Contempt | 3 |\n| Fear | 2 |\n| Repression | 40 |\n| Tense | 28 |",1]
["| Emotion | Frequency |\n| --- | --- |\n| Amusement | 5 |\n| Sadness | 6 |","| Disgust | 60 |\n| --- | --- |\n| Surprise | 25 |\n| Repression | 27 |\n| Others | 102 |",0]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 395.82 | 254.49 | 307.9 | 215.35 | 146.35 |\n| Q2 | 181.91 | 165.32 | 160.97 | 150.87 | 144.49 |\n| Q3 | 354.55 | 192.83 | 231.96 | 156.26 | 106.05 |","| Q4 | 705.96 | 737.82 | 725.21 | 292.48 | 196.56 |\n| --- | --- | --- | --- | --- | --- |\n| Q5 | 178.55 | 161.36 | 168.21 | 167.29 | 147.78 |\n| Q7 | 889.83 | 602.84 | 569.87 | 446.54 | 335.63 |\n| Q8 | 271.94 | 202.84 | 247.64 | 184.74 | 146.29 |\n| Q9 | 615.42 | 457.34 | 349.46 | 259.7 | 137.27 |\n| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",1]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 395.82 | 254.49 | 307.9 | 215.35 | 146.35 |\n| Q2 | 181.91 | 165.32 | 160.97 | 150.87 | 144.49 |\n| Q3 | 354.55 | 192.83 | 231.96 | 156.26 | 106.05 |","|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 47.71 | 45.32 | 47.41 | 46.83 | 49.1 |\n| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |\n| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |\n| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |\n| Q5 | 539.37 | 437.27 | 264.13 | 179.18 | 131.98 |\n| Q6 | 220.29 | 133.08 | 108.56 | 77.02 | 67.42 |\n| Q7 | 35.96 | 33.15 | 33.64 | 36.12 | 34.44 |\n| Q9 | 575.29 | 310.14 | 297.75 | 190.08 | 145.75 |\n| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |\n| Q16 | 610.85 | 387.59 | 315.06 | 202.07 | 149.09 |\n| Q17 | NaN | NaN | NaN | NaN | NaN |\n| Q18 | 35.88 | 32.05 | 36.69 | 35.00 | 34.23 |\n| Q19 | 597.83 | 499.11 | 305.14 | 196.61 | 140.85 |\n| Q20 | 607.89 | 336.38 | 316.46 | 194.37 | 140.92 |",0]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 395.82 | 254.49 | 307.9 | 215.35 | 146.35 |\n| Q2 | 181.91 | 165.32 | 160.97 | 150.87 | 144.49 |\n| Q3 | 354.55 | 192.83 | 231.96 | 156.26 | 106.05 |\n| Q4 | 705.96 | 737.82 | 725.21 | 292.48 | 196.56 |","| Q5 | 178.55 | 161.36 | 168.21 | 167.29 | 147.78 |\n| --- | --- | --- | --- | --- | --- |\n| Q7 | 889.83 | 602.84 | 569.87 | 446.54 | 335.63 |\n| Q8 | 271.94 | 202.84 | 247.64 | 184.74 | 146.29 |\n| Q9 | 615.42 | 457.34 | 349.46 | 259.7 | 137.27 |\n| Q10 | 526.03 | 319.47 | 339.01 | 258.55 | 203.17 |\n| Q11 | 36.64 | 36.3 | 36.24 | 36.52 | 33.58 |\n| Q12 | 102.55 | 72.25 | 66.01 | 85.13 | 68.13 |",1]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 395.82 | 254.49 | 307.9 | 215.35 | 146.35 |\n| Q2 | 181.91 | 165.32 | 160.97 | 150.87 | 144.49 |\n| Q3 | 354.55 | 192.83 | 231.96 | 156.26 | 106.05 |\n| Q4 | 705.96 | 737.82 | 725.21 | 292.48 | 196.56 |","| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |\n| --- | --- | --- | --- | --- | --- |\n| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |\n| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |\n| Q5 | 539.37 | 437.27 | 264.13 | 179.18 | 131.98 |\n| Q6 | 220.29 | 133.08 | 108.56 | 77.02 | 67.42 |\n| Q7 | 35.96 | 33.15 | 33.64 | 36.12 | 34.44 |\n| Q9 | 575.29 | 310.14 | 297.75 | 190.08 | 145.75 |\n| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |\n| Q16 | 610.85 | 387.59 | 315.06 | 202.07 | 149.09 |\n| Q17 | NaN | NaN | NaN | NaN | NaN |\n| Q18 | 35.88 | 32.05 | 36.69 | 35.00 | 34.23 |\n| Q19 | 597.83 | 499.11 | 305.14 | 196.61 | 140.85 |\n| Q20 | 607.89 | 336.38 | 316.46 | 194.37 | 140.92 |",0]
["| EssayID | Oursystem | PaperRater | Manualevaluation |\n| --- | --- | --- | --- |\n| 1 | 8.5 | 8.5 | 9 |\n| 2 | 9 | 8.8 | 9.5 |\n| 3 | 8 | 8.1 | 8.5 |\n| 4 | 8.3 | 9 | 9.5 |\n| 5 | 8 | 8.9 | 9 |","| 6 | 8.5 | 8.3 | 8 |\n| --- | --- | --- | --- |\n| 7 | 8 | 8.1 | 7.5 |\n| 8 | 8.5 | 8.2 | 8 |\n| 9 | 8 | 8.3 | 9 |\n| 10 | 7.5 | 7.8 | 7 |",1]
["| EssayID | Oursystem | PaperRater | Manualevaluation |\n| --- | --- | --- | --- |\n| 1 | 8.5 | 8.5 | 9 |\n| 2 | 9 | 8.8 | 9.5 |\n| 3 | 8 | 8.1 | 8.5 |\n| 4 | 8.3 | 9 | 9.5 |\n| 5 | 8 | 8.9 | 9 |","|  | CIFAR-10 | CIFAR-100 | ImageNet32 |\n| --- | --- | --- | --- |\n| Student | 7.46 | 28.52 | 48.2 |\n| Teacher | 4.19 | 20.62 | 38.41 |\n| KD(T=1)<br>KD(T=2)<br>KD(T=5)<br>KD(T=10) | 7.27<br>7.3<br>7.02<br>6.94 | 28.62<br>28.33<br>27.06<br>27.07 | 49.37<br>49.48<br>49.63<br>51.12 |\n| Ours | 6.09 | 25.75 | 47.39 |",0]
["| EssayID | Oursystem | PaperRater | Manualevaluation |\n| --- | --- | --- | --- |\n| 1 | 8.5 | 8.5 | 9 |","| 2 | 9 | 8.8 | 9.5 |\n| --- | --- | --- | --- |\n| 3 | 8 | 8.1 | 8.5 |\n| 4 | 8.3 | 9 | 9.5 |\n| 5 | 8 | 8.9 | 9 |\n| 6 | 8.5 | 8.3 | 8 |\n| 7 | 8 | 8.1 | 7.5 |\n| 8 | 8.5 | 8.2 | 8 |\n| 9 | 8 | 8.3 | 9 |\n| 10 | 7.5 | 7.8 | 7 |",1]
["| EssayID | Oursystem | PaperRater | Manualevaluation |\n| --- | --- | --- | --- |\n| 1 | 8.5 | 8.5 | 9 |","| KD(T=1)<br>KD(T=2)<br>KD(T=5)<br>KD(T=10) | 7.27<br>7.3<br>7.02<br>6.94 | 28.62<br>28.33<br>27.06<br>27.07 | 49.37<br>49.48<br>49.63<br>51.12 |\n| --- | --- | --- | --- |\n| Ours | 6.09 | 25.75 | 47.39 |",0]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.49[99.28,99.71] | 97.09[96.72,97.46] | 76.08[68.27,83.89] | 15.54[13.11,17.96] | 70.73[65.32,76.13] |\n| Cataletal. | 99.92[99.83,1.000] | 97.66[97.34,97.98] | 91.37[91.00,91.73] | 48.57[47.01,50.12] | 82.00[80.55,83.45] |\n| Kimetal. | 99.88[99.77,99.99] | 94.99[94.54,95.44] | 90.21[89.84,90.58] | 51.42[50.29,52.55] | 74.97[73.12,76.82] |\n| ChenandXue | 93.19[91.75,94.62] | 94.03[93.12,94.95] | 86.78[86.00,87.55] | − | − |","| JiangandYin | 60.69[48.88,72.50] | − | 82.55[81.73,83.36] | − | − |\n| --- | --- | --- | --- | --- | --- |\n| Haetal. | 92.60[91.29,93.91] | 93.42[92.74,94.10] | − | − | − |\n| HaandChoi | 84.46[82.42,86.51] | 90.68[89.93,91.43] | − | − | − |\n| MeanAccuracy | 90.03 | 94.64 | 85.39 | 38.51 | 75.90 |",1]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.49[99.28,99.71] | 97.09[96.72,97.46] | 76.08[68.27,83.89] | 15.54[13.11,17.96] | 70.73[65.32,76.13] |\n| Cataletal. | 99.92[99.83,1.000] | 97.66[97.34,97.98] | 91.37[91.00,91.73] | 48.57[47.01,50.12] | 82.00[80.55,83.45] |\n| Kimetal. | 99.88[99.77,99.99] | 94.99[94.54,95.44] | 90.21[89.84,90.58] | 51.42[50.29,52.55] | 74.97[73.12,76.82] |\n| ChenandXue | 93.19[91.75,94.62] | 94.03[93.12,94.95] | 86.78[86.00,87.55] | − | − |","|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.03[98.41,99.64] | 93.86[93.03,94.70] | 75.74[72.06,79.43] | 11.34[09.42,13.27] | 67.83[62.21,73.45] |\n| Cataletal. | 99.63[99.32,99.93] | 95.77[95.23,96.31] | 88.76[88.12,89.41] | 46.90[44.56,49.23] | 82.10[79.28,84.93] |\n| Kimetal. | 99.70[99.40,100.0] | 92.84[92.31,93.37] | 86.80[85.89,87.71] | 48.02[46.28,49.76] | 73.03[69.91,76.16] |\n| ChenandXue | 91.61[89.98,93.25] | 92.36[91.55,93.18] | 82.63[82.04,83.23] | − | − |\n| JiangandYin | 51.00[29.29,72.70] | − | 76.77[75.78,77.77] | − | − |\n| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |\n| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |\n| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |",0]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.49[99.28,99.71] | 97.09[96.72,97.46] | 76.08[68.27,83.89] | 15.54[13.11,17.96] | 70.73[65.32,76.13] |\n| Cataletal. | 99.92[99.83,1.000] | 97.66[97.34,97.98] | 91.37[91.00,91.73] | 48.57[47.01,50.12] | 82.00[80.55,83.45] |\n| Kimetal. | 99.88[99.77,99.99] | 94.99[94.54,95.44] | 90.21[89.84,90.58] | 51.42[50.29,52.55] | 74.97[73.12,76.82] |\n| ChenandXue | 93.19[91.75,94.62] | 94.03[93.12,94.95] | 86.78[86.00,87.55] | − | − |","| JiangandYin | 60.69[48.88,72.50] | − | 82.55[81.73,83.36] | − | − |\n| --- | --- | --- | --- | --- | --- |\n| Haetal. | 92.60[91.29,93.91] | 93.42[92.74,94.10] | − | − | − |\n| HaandChoi | 84.46[82.42,86.51] | 90.68[89.93,91.43] | − | − | − |\n| MeanAccuracy | 90.03 | 94.64 | 85.39 | 38.51 | 75.90 |",1]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.49[99.28,99.71] | 97.09[96.72,97.46] | 76.08[68.27,83.89] | 15.54[13.11,17.96] | 70.73[65.32,76.13] |\n| Cataletal. | 99.92[99.83,1.000] | 97.66[97.34,97.98] | 91.37[91.00,91.73] | 48.57[47.01,50.12] | 82.00[80.55,83.45] |\n| Kimetal. | 99.88[99.77,99.99] | 94.99[94.54,95.44] | 90.21[89.84,90.58] | 51.42[50.29,52.55] | 74.97[73.12,76.82] |\n| ChenandXue | 93.19[91.75,94.62] | 94.03[93.12,94.95] | 86.78[86.00,87.55] | − | − |","| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |\n| --- | --- | --- | --- | --- | --- |\n| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |\n| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |",0]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |","| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",1]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |","| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| HKG | -41.3 | 2.1 | 0.67 | 8.7 | 0.39 | 5.1 |\n| USA | -16.1 | 2.7 | -2.0 | 4.8 | 0.11 | -0.15 |\n| CAN | -15.2 | 3.1 | -1.7 | 4.8 | 0.45 | 0.78 |\n| SIN | -8.5 | 1.6 | -0.77 | 3.4 | -0.41 | 0.24 |\n| ROC | -8.1 | 2.7 | -1.7 | 3.2 | 0.36 | -0.16 |\n| MAS | -4.5 | 3.1 | -1.5 | 2.1 | 1.2 | 3.8 |\n| VIE | -3.6 | 1.5 | -0.89 | 2.4 | -2.0 | 6.4 |\n| GER | -2.4 | 2.1 | -0.99 | 1.4 | 0.29 | -0.81 |\n| FRA | -2.4 | 2.0 | -0.85 | 1.5 | 0.70 | 0.47 |\n| THI | -2.3 | 1.8 | -0.76 | 1.7 | 0.32 | 0.12 |\n| GBR | -1.4 | 1.4 | -0.42 | 1.5 | 0.78 | 1.6 |\n| Average | -9.6 | 2.2 | -1.0 | 3.2 | 0.20 | 1.6 |",0]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |\n| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |","| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",1]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |\n| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |","| FRA | -2.4 | 2.0 | -0.85 | 1.5 | 0.70 | 0.47 |\n| --- | --- | --- | --- | --- | --- | --- |\n| THI | -2.3 | 1.8 | -0.76 | 1.7 | 0.32 | 0.12 |\n| GBR | -1.4 | 1.4 | -0.42 | 1.5 | 0.78 | 1.6 |\n| Average | -9.6 | 2.2 | -1.0 | 3.2 | 0.20 | 1.6 |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i |  |\n| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r |  |","| 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s |  |\n| --- | --- | --- |\n| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR |  |\n| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 |  |\n| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM |  |\n| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG |  |\n| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i |  |\n| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r |  |","| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm |  |\n| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt |  |\n| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd |  |\n| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ |  |\n| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag |  |\n| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB |  |\n| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb |  |\n| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd |  |\n| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv |  |\n| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 |  |\n| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje |  |\n| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV |  |\n| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc |  |\n| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh |  |\n| 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD |  |\n| And,27otherdistinctaddressesthatarelistedon |  |  |",0]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i |  |\n| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r |  |","| 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s |  |\n| --- | --- | --- |\n| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR |  |\n| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 |  |\n| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM |  |\n| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG |  |\n| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n |  |",1]
["| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i |  |\n| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r |  |","| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje |  |\n| --- | --- | --- |\n| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV |  |\n| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc |  |\n| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh |  |\n| 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD |  |\n| And,27otherdistinctaddressesthatarelistedon |  |  |",0]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 1.93deg | 66mm |\n| wall2 | 2.41deg | 68mm |\n| wall3 | 1.99deg | 98mm |\n| wall4 | 3.82deg | 1mm |","| ﬂoor | 0.82deg | 2mm |\n| --- | --- | --- |\n| ceiling | 3.57deg | 1795mm |",1]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 1.93deg | 66mm |\n| wall2 | 2.41deg | 68mm |\n| wall3 | 1.99deg | 98mm |\n| wall4 | 3.82deg | 1mm |","|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 0.89deg | 22mm |\n| wall2 | 1.72deg | 34mm |\n| wall3 | 0.63deg | 62mm |\n| wall4 | 0.43deg | 4mm |\n| ﬂoor | 1.40deg | 1mm |\n| ceiling | 2.98deg | 1824mm |",0]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 1.93deg | 66mm |\n| wall2 | 2.41deg | 68mm |\n| wall3 | 1.99deg | 98mm |\n| wall4 | 3.82deg | 1mm |","| ﬂoor | 0.82deg | 2mm |\n| --- | --- | --- |\n| ceiling | 3.57deg | 1795mm |",1]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 1.93deg | 66mm |\n| wall2 | 2.41deg | 68mm |\n| wall3 | 1.99deg | 98mm |\n| wall4 | 3.82deg | 1mm |","| ﬂoor | 1.40deg | 1mm |\n| --- | --- | --- |\n| ceiling | 2.98deg | 1824mm |",0]
["| m | k | N | mmˆ |\n| --- | --- | --- | --- |\n| [-0.43290.32340.8415] | 12 | 100 | 0.9994 |\n| [-0.43290.32340.8415] | 12 | 1000 | 1.000 |\n| [-0.43290.32340.8415] | 12 | 2000 | 1.000 |\n| [-0.43290.32340.8415] | 4 | 1000 | 0.9998 |\n| [-0.416100.9093] | 8 | 100 | 0.9995 |\n| [-0.416100.9093] | 8 | 1000 | 0.9999 |\n| [-0.416100.9093] | 15 | 100 | 0.9997 |\n| [-0.416100.9093] | 15 | 1000 | 1.0000 |","| [-0.41610.90930] | 8 | 100 | 0.9994 |\n| --- | --- | --- | --- |\n| [-0.41610.90930] | 8 | 1000 | 0.9999 |\n| [-0.41610.90930] | 15 | 100 | 0.9999 |\n| [-0.41610.90930] | 15 | 1000 | 1.000 |",1]
["| m | k | N | mmˆ |\n| --- | --- | --- | --- |\n| [-0.43290.32340.8415] | 12 | 100 | 0.9994 |\n| [-0.43290.32340.8415] | 12 | 1000 | 1.000 |\n| [-0.43290.32340.8415] | 12 | 2000 | 1.000 |\n| [-0.43290.32340.8415] | 4 | 1000 | 0.9998 |\n| [-0.416100.9093] | 8 | 100 | 0.9995 |\n| [-0.416100.9093] | 8 | 1000 | 0.9999 |\n| [-0.416100.9093] | 15 | 100 | 0.9997 |\n| [-0.416100.9093] | 15 | 1000 | 1.0000 |","| K1 | k2 | k3 | k4 |\n| --- | --- | --- | --- |\n| 0.6 | 1.2 | 0.1 | 0.001 |\n| 0.864 | 0.981 | 0.005 | 0.016 |\n| 0.108 | 0.735 | 0.016 | 0.013 |\n| 0.263 | 0.299 | 0 | 0 |\n| 1.207 | 1.909 | 0.008 | 0.014 |\n| 0.648 | 1.64 | 0.027 | 0.016 |\n| 0.047 | 0.325 | 0.084 | 0 |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",0]
["| m | k | N | mmˆ |\n| --- | --- | --- | --- |\n| [-0.43290.32340.8415] | 12 | 100 | 0.9994 |\n| [-0.43290.32340.8415] | 12 | 1000 | 1.000 |","| [-0.43290.32340.8415] | 12 | 2000 | 1.000 |\n| --- | --- | --- | --- |\n| [-0.43290.32340.8415] | 4 | 1000 | 0.9998 |\n| [-0.416100.9093] | 8 | 100 | 0.9995 |\n| [-0.416100.9093] | 8 | 1000 | 0.9999 |\n| [-0.416100.9093] | 15 | 100 | 0.9997 |\n| [-0.416100.9093] | 15 | 1000 | 1.0000 |\n| [-0.41610.90930] | 8 | 100 | 0.9994 |\n| [-0.41610.90930] | 8 | 1000 | 0.9999 |\n| [-0.41610.90930] | 15 | 100 | 0.9999 |\n| [-0.41610.90930] | 15 | 1000 | 1.000 |",1]
["| m | k | N | mmˆ |\n| --- | --- | --- | --- |\n| [-0.43290.32340.8415] | 12 | 100 | 0.9994 |\n| [-0.43290.32340.8415] | 12 | 1000 | 1.000 |","| 0.648 | 1.64 | 0.027 | 0.016 |\n| --- | --- | --- | --- |\n| 0.047 | 0.325 | 0.084 | 0 |\n| 0.425 | 1.055 | 0.023 | 0.013 |\n| 0.63 | 0.842 | 0.092 | 0.014 |",0]
["| Uniform<br>8kSamples | 10Exp.<br>1Illum. | 10Exp.<br>2Illum. | 4Exp.<br>4Illum. | 8Exp.<br>4Illum. | 4Exp.<br>6Illum. |\n| --- | --- | --- | --- | --- | --- |\n| 1.50 | 6.64 | 5.51 | 2.98 | 2.37 | 2.56 |\n| 1.77 | 9.54 | 9.00 | 3.98 | 2.66 | 3.05 |\n| 1.90 | 10.44 | 3.77 | 3.24 | 2.51 | 2.96 |","| 2.42 | 4.92 | 3.58 | 3.40 | 2.95 | 3.25 |\n| --- | --- | --- | --- | --- | --- |\n| 1.65 | 10.29 | 3.69 | 23.49 | 2.21 | 2.52 |",1]
["| Uniform<br>8kSamples | 10Exp.<br>1Illum. | 10Exp.<br>2Illum. | 4Exp.<br>4Illum. | 8Exp.<br>4Illum. | 4Exp.<br>6Illum. |\n| --- | --- | --- | --- | --- | --- |\n| 1.50 | 6.64 | 5.51 | 2.98 | 2.37 | 2.56 |\n| 1.77 | 9.54 | 9.00 | 3.98 | 2.66 | 3.05 |\n| 1.90 | 10.44 | 3.77 | 3.24 | 2.51 | 2.96 |","| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |\n| 2 | 100 | 0.5 | 35.301 |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |\n| 1 | 100 | 0 | 33.621 |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| Uniform<br>8kSamples | 10Exp.<br>1Illum. | 10Exp.<br>2Illum. | 4Exp.<br>4Illum. | 8Exp.<br>4Illum. | 4Exp.<br>6Illum. |\n| --- | --- | --- | --- | --- | --- |\n| 1.50 | 6.64 | 5.51 | 2.98 | 2.37 | 2.56 |","| 1.77 | 9.54 | 9.00 | 3.98 | 2.66 | 3.05 |\n| --- | --- | --- | --- | --- | --- |\n| 1.90 | 10.44 | 3.77 | 3.24 | 2.51 | 2.96 |\n| 2.42 | 4.92 | 3.58 | 3.40 | 2.95 | 3.25 |\n| 1.65 | 10.29 | 3.69 | 23.49 | 2.21 | 2.52 |",1]
["| Uniform<br>8kSamples | 10Exp.<br>1Illum. | 10Exp.<br>2Illum. | 4Exp.<br>4Illum. | 8Exp.<br>4Illum. | 4Exp.<br>6Illum. |\n| --- | --- | --- | --- | --- | --- |\n| 1.50 | 6.64 | 5.51 | 2.98 | 2.37 | 2.56 |","| 2 | 100 | 0.5 | 35.301 |\n| --- | --- | --- | --- |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |\n| 1 | 100 | 0 | 33.621 |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| Parameters | Values |\n| --- | --- |\n| NumberofBSs | 40 |\n| NumberofWAPs | 30 |\n| Meantimeofasuccessfultransmission | 5µs |\n| Meantimeofacollision | 1µs |\n| Meantimeofidlechannel | 3µs |\n| Numberofchannels | 10 |\n| RTS | 20bytes |\n| CTS | 14bytes |\n| DIFS | 34µs |","| SIFS | 16µs |\n| --- | --- |\n| NumberofWUs | 150 |\n| TransmitpoweroftheWAPs | 0.5W |\n| TransmitpoweroftheBSs | 1W |",1]
["| Parameters | Values |\n| --- | --- |\n| NumberofBSs | 40 |\n| NumberofWAPs | 30 |\n| Meantimeofasuccessfultransmission | 5µs |\n| Meantimeofacollision | 1µs |\n| Meantimeofidlechannel | 3µs |\n| Numberofchannels | 10 |\n| RTS | 20bytes |\n| CTS | 14bytes |\n| DIFS | 34µs |","| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Parameters | Values |\n| --- | --- |\n| NumberofBSs | 40 |\n| NumberofWAPs | 30 |\n| Meantimeofasuccessfultransmission | 5µs |\n| Meantimeofacollision | 1µs |\n| Meantimeofidlechannel | 3µs |","| Numberofchannels | 10 |\n| --- | --- |\n| RTS | 20bytes |\n| CTS | 14bytes |\n| DIFS | 34µs |\n| SIFS | 16µs |\n| NumberofWUs | 150 |\n| TransmitpoweroftheWAPs | 0.5W |\n| TransmitpoweroftheBSs | 1W |",1]
["| Parameters | Values |\n| --- | --- |\n| NumberofBSs | 40 |\n| NumberofWAPs | 30 |\n| Meantimeofasuccessfultransmission | 5µs |\n| Meantimeofacollision | 1µs |\n| Meantimeofidlechannel | 3µs |","| λf | −5<br>3×10 | IntensityofF-APs |\n| --- | --- | --- |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| AdversarialType | AdversarialInputSimilarity | GeneratedResponseSimilarity |\n| --- | --- | --- |\n| Politics |  |  |\n| CharacterEdit | (.94±.04;2.99±.74;4.56±.19) | (0.75±.17;2.38±1.42;3.30±1.01) |","| Paraphrased | (.85±.13;2.35±.65;3.86±0.84) | (.77±.18;2.52±1.51;3.39±.99) |\n| --- | --- | --- |\n| Movies |  |  |\n| CharacterEdit | (.93±.05;2.88±.66;4.52±0.23) | (.67±.19;2.06±1.11;2.75±1.07) |\n| Paraphrased | (.84±.12;2.68±.69;3.97±.76) | (0.64±.17;1.87±.76;2.61±.94) |",1]
["| AdversarialType | AdversarialInputSimilarity | GeneratedResponseSimilarity |\n| --- | --- | --- |\n| Politics |  |  |\n| CharacterEdit | (.94±.04;2.99±.74;4.56±.19) | (0.75±.17;2.38±1.42;3.30±1.01) |","| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |\n| TheBlindSide | 2009-11-20 |\n| TheBookofEli | 2010-01-15 |\n| Daybreakers | 2010-01-08 |\n| DearJohn | 2010-02-05 |\n| DidYouHearAboutTheMorgans | 2009-12-18 |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |\n| Legion | 2010-01-22 |\n| Twilight:NewMoon | 2009-11-20 |\n| PirateRadio | 2009-11-13 |\n| PrincessAndTheFrog | 2009-12-11 |\n| SherlockHolmes | 2009-12-25 |\n| SpyNextDoor | 2010-01-15 |\n| TheCrazies | 2010-02-26 |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| AdversarialType | AdversarialInputSimilarity | GeneratedResponseSimilarity |\n| --- | --- | --- |\n| Politics |  |  |","| CharacterEdit | (.94±.04;2.99±.74;4.56±.19) | (0.75±.17;2.38±1.42;3.30±1.01) |\n| --- | --- | --- |\n| Paraphrased | (.85±.13;2.35±.65;3.86±0.84) | (.77±.18;2.52±1.51;3.39±.99) |\n| Movies |  |  |\n| CharacterEdit | (.93±.05;2.88±.66;4.52±0.23) | (.67±.19;2.06±1.11;2.75±1.07) |\n| Paraphrased | (.84±.12;2.68±.69;3.97±.76) | (0.64±.17;1.87±.76;2.61±.94) |",1]
["| AdversarialType | AdversarialInputSimilarity | GeneratedResponseSimilarity |\n| --- | --- | --- |\n| Politics |  |  |","| DidYouHearAboutTheMorgans | 2009-12-18 |\n| --- | --- |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |\n| Legion | 2010-01-22 |\n| Twilight:NewMoon | 2009-11-20 |\n| PirateRadio | 2009-11-13 |\n| PrincessAndTheFrog | 2009-12-11 |\n| SherlockHolmes | 2009-12-25 |\n| SpyNextDoor | 2010-01-15 |\n| TheCrazies | 2010-02-26 |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| DT05 | ET05 |  |  |\n| --- | --- | --- | --- |\n| fMLLR | fbank | fMLLR | fbank |","| baseline | 8.2 | 11.1 | 15.4 | 20.9 |\n| --- | --- | --- | --- | --- |\n| oDLR | 7.9 | 9.6 | 13.8 | 17.5 |\n| oDLR+oWER | 7.4 | 9.2 | 13.0 | 16.8 |\n| oDLR+pWER | 7.7 | 9.5 | 13.6 | 17.2 |",1]
["| DT05 | ET05 |  |  |\n| --- | --- | --- | --- |\n| fMLLR | fbank | fMLLR | fbank |","| Data(hrs) | AM | LM | SWB | CH |\n| --- | --- | --- | --- | --- |\n| 300 | A2W | - | 20.8 | 30.4 |\n| 300 | PhoneCTC | Small | 14.5 | 25.1 |\n| 2000 | A2W | - | 13.0 | 18.8 |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",0]
["| DT05 | ET05 |  |  |\n| --- | --- | --- | --- |\n| fMLLR | fbank | fMLLR | fbank |","| baseline | 8.2 | 11.1 | 15.4 | 20.9 |\n| --- | --- | --- | --- | --- |\n| oDLR | 7.9 | 9.6 | 13.8 | 17.5 |\n| oDLR+oWER | 7.4 | 9.2 | 13.0 | 16.8 |\n| oDLR+pWER | 7.7 | 9.5 | 13.6 | 17.2 |",1]
["| DT05 | ET05 |  |  |\n| --- | --- | --- | --- |\n| fMLLR | fbank | fMLLR | fbank |","| 2000 | A2W | - | 13.0 | 18.8 |\n| --- | --- | --- | --- | --- |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",0]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 4110 | 904 |","| Schneider | 1iter/pix | 550 | 939 |\n| --- | --- | --- | --- |\n| Schneider | 0.1iter/pix | 115 | 983 |\n| Ourapproach | 1iter/pix | 14735 | 663 |\n| Ourapproach | 0.1iter/pix | 1483 | 744 |",1]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 4110 | 904 |","|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 2860 | 573 |\n| Schneider | 1iter/pix | 380 | 590 |\n| Schneider | 0.1iter/pix | 85 | 617 |\n| Ourapproach | 1iter/pix | 14020 | 532 |\n| Ourapproach | 0.1iter/pix | 1420 | 555 |",0]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 4110 | 904 |","| Schneider | 1iter/pix | 550 | 939 |\n| --- | --- | --- | --- |\n| Schneider | 0.1iter/pix | 115 | 983 |\n| Ourapproach | 1iter/pix | 14735 | 663 |\n| Ourapproach | 0.1iter/pix | 1483 | 744 |",1]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 4110 | 904 |","| Schneider | 1iter/pix | 380 | 590 |\n| --- | --- | --- | --- |\n| Schneider | 0.1iter/pix | 85 | 617 |\n| Ourapproach | 1iter/pix | 14020 | 532 |\n| Ourapproach | 0.1iter/pix | 1420 | 555 |",0]
["| Hardware | Model |\n| --- | --- |\n| GPU | NVIDIATeslaP40 |\n| CPU | IntelXeonE5-2650v4Dual |\n| Network | 56GbpsInﬁniBand+1GbpsEthernet |","| Memory | 128GBDDR4 |\n| --- | --- |\n| Harddisk | SSD6T(x2withRAID0)inNode0,<br>andothersareHDD1T(x4withRAID5).<br>Eachnodehasonecopyofthedataset |",1]
["| Hardware | Model |\n| --- | --- |\n| GPU | NVIDIATeslaP40 |\n| CPU | IntelXeonE5-2650v4Dual |\n| Network | 56GbpsInﬁniBand+1GbpsEthernet |","| CPU | Intel(R)Core(TM)i7-4790K4.00Hz |\n| --- | --- |\n| GPU | GeForceGTX1080Ti |\n| RAM | 20GB |\n| Harddisk | ToshibaSSD512G |\n| System | Ubuntu16.04 |",0]
["| Hardware | Model |\n| --- | --- |\n| GPU | NVIDIATeslaP40 |\n| CPU | IntelXeonE5-2650v4Dual |\n| Network | 56GbpsInﬁniBand+1GbpsEthernet |","| Memory | 128GBDDR4 |\n| --- | --- |\n| Harddisk | SSD6T(x2withRAID0)inNode0,<br>andothersareHDD1T(x4withRAID5).<br>Eachnodehasonecopyofthedataset |",1]
["| Hardware | Model |\n| --- | --- |\n| GPU | NVIDIATeslaP40 |\n| CPU | IntelXeonE5-2650v4Dual |\n| Network | 56GbpsInﬁniBand+1GbpsEthernet |","| Harddisk | ToshibaSSD512G |\n| --- | --- |\n| System | Ubuntu16.04 |",0]
["| Video | Resolution | Numberofframes | Processingtime(s) | FPS |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 800x600 | 1001 | 27.7 | 36.2 |\n| Rouen | 1024x576 | 600 | 53.1 | 11.3 |","| St-Marc | 1280x720 | 1000 | 98.2 | 10.2 |\n| --- | --- | --- | --- | --- |\n| Rene-Levesque | 1280x720 | 1000 | 53.8 | 18.6 |",1]
["| Video | Resolution | Numberofframes | Processingtime(s) | FPS |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 800x600 | 1001 | 27.7 | 36.2 |\n| Rouen | 1024x576 | 600 | 53.1 | 11.3 |","| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["| Video | Resolution | Numberofframes | Processingtime(s) | FPS |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 800x600 | 1001 | 27.7 | 36.2 |","| Rouen | 1024x576 | 600 | 53.1 | 11.3 |\n| --- | --- | --- | --- | --- |\n| St-Marc | 1280x720 | 1000 | 98.2 | 10.2 |\n| Rene-Levesque | 1280x720 | 1000 | 53.8 | 18.6 |",1]
["| Video | Resolution | Numberofframes | Processingtime(s) | FPS |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 800x600 | 1001 | 27.7 | 36.2 |","| 101 | 60K | 9h | 8x6.5G |\n| --- | --- | --- | --- |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["|  | GRU | LSTM | GRU,D | LSTM,D | GRU,BN | LSTM,BN |\n| --- | --- | --- | --- | --- | --- | --- |\n| text,c1 | 81.3 | 81.1 | 81.4 | 80.6 | 82.9 | 82.7 |","| text,c2 | 81.0 | 80.7 | 81.2 | 81.5 | 83.5 | 83.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| audio,c1 | 70.9 | 70.0 | 72.2 | 72.4 | 67.0 | 66.3 |\n| audio,c2 | 70.8 | 71.8 | 72.5 | 73.4 | 69.2 | 67.8 |\n| combination,c1 | 83.1 | 82.7 | 82.6 | 82.8 | 84.6 | 84.0 |\n| combination,c2 | 83.0 | 82.5 | 82.7 | 82.4 | 84.1 | 83.6 |\n| condition,c2 | 83.8 | 83.9 | 83.9 | 83.9 | 82.4 | 83.7 |",1]
["|  | GRU | LSTM | GRU,D | LSTM,D | GRU,BN | LSTM,BN |\n| --- | --- | --- | --- | --- | --- | --- |\n| text,c1 | 81.3 | 81.1 | 81.4 | 80.6 | 82.9 | 82.7 |","| Testset | Duration | Nb.speakers | Nb.words |\n| --- | --- | --- | --- |\n| Hub5’00SWB | 2.1h | 40 | 21.4K |\n| Hub5’00CH | 1.6h | 40 | 21.6K |\n| RT’02 | 6.4h | 120 | 64.0K |\n| RT’03 | 7.2h | 144 | 76.0K |\n| RT’04 | 3.4h | 72 | 36.7K |\n| DEV’04f | 3.2h | 72 | 37.8K |",0]
["|  | GRU | LSTM | GRU,D | LSTM,D | GRU,BN | LSTM,BN |\n| --- | --- | --- | --- | --- | --- | --- |\n| text,c1 | 81.3 | 81.1 | 81.4 | 80.6 | 82.9 | 82.7 |\n| text,c2 | 81.0 | 80.7 | 81.2 | 81.5 | 83.5 | 83.0 |\n| audio,c1 | 70.9 | 70.0 | 72.2 | 72.4 | 67.0 | 66.3 |\n| audio,c2 | 70.8 | 71.8 | 72.5 | 73.4 | 69.2 | 67.8 |","| combination,c1 | 83.1 | 82.7 | 82.6 | 82.8 | 84.6 | 84.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| combination,c2 | 83.0 | 82.5 | 82.7 | 82.4 | 84.1 | 83.6 |\n| condition,c2 | 83.8 | 83.9 | 83.9 | 83.9 | 82.4 | 83.7 |",1]
["|  | GRU | LSTM | GRU,D | LSTM,D | GRU,BN | LSTM,BN |\n| --- | --- | --- | --- | --- | --- | --- |\n| text,c1 | 81.3 | 81.1 | 81.4 | 80.6 | 82.9 | 82.7 |\n| text,c2 | 81.0 | 80.7 | 81.2 | 81.5 | 83.5 | 83.0 |\n| audio,c1 | 70.9 | 70.0 | 72.2 | 72.4 | 67.0 | 66.3 |\n| audio,c2 | 70.8 | 71.8 | 72.5 | 73.4 | 69.2 | 67.8 |","| RT’02 | 6.4h | 120 | 64.0K |\n| --- | --- | --- | --- |\n| RT’03 | 7.2h | 144 | 76.0K |\n| RT’04 | 3.4h | 72 | 36.7K |\n| DEV’04f | 3.2h | 72 | 37.8K |",0]
["| Notation | Deﬁnition |\n| --- | --- |\n| T<br>(p) | Timecomplexityofamultiplication |\n| T<br>(p) | Timecomplexityofanaddition |","| T<br>(p) | Timecomplexityofanexponentiation |\n| --- | --- |\n| T<br>(p) | Timecomplexityofaninversion |\n| T<br>(p) | Timecomplexityofanellipticcurvescalarmultiplication |\n| T<br>(p) | Timecomplexityofanellipticcurvepointsaddition |",1]
["| Notation | Deﬁnition |\n| --- | --- |\n| T<br>(p) | Timecomplexityofamultiplication |\n| T<br>(p) | Timecomplexityofanaddition |","| u | auser |\n| --- | --- |\n| i | asocialmediaitem |\n| Iu | thesetofu’ssocialmediaitems |\n| c | aconcept |\n| C | thesetofconcepts |\n| d | acandidateitem(scientiﬁcpublication) |\n| D | thesetofcandidateitems |\n| t,tid | thetimestampofiandd,respectively |\n| Pu | u’suserproﬁle |\n| Pd | d’sdocumentproﬁle |\n| Φ | aproﬁlingfunction |\n| w | aweightingfunction(notconsideringtemporaldecay) |\n| f | adecayfunction |\n| w | aweightingfunctionthatextendswwithtemporaldecay |\n| σ | asimilarityfunction |",0]
["| Notation | Deﬁnition |\n| --- | --- |\n| T<br>(p) | Timecomplexityofamultiplication |\n| T<br>(p) | Timecomplexityofanaddition |\n| T<br>(p) | Timecomplexityofanexponentiation |","| T<br>(p) | Timecomplexityofaninversion |\n| --- | --- |\n| T<br>(p) | Timecomplexityofanellipticcurvescalarmultiplication |\n| T<br>(p) | Timecomplexityofanellipticcurvepointsaddition |",1]
["| Notation | Deﬁnition |\n| --- | --- |\n| T<br>(p) | Timecomplexityofamultiplication |\n| T<br>(p) | Timecomplexityofanaddition |\n| T<br>(p) | Timecomplexityofanexponentiation |","| w | aweightingfunction(notconsideringtemporaldecay) |\n| --- | --- |\n| f | adecayfunction |\n| w | aweightingfunctionthatextendswwithtemporaldecay |\n| σ | asimilarityfunction |",0]
["| Dataset | HMDB51 | UCF101 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | MP | GMM-FV | RNN-FV | MP | GMMFV | RNN-FV |","| VGGPCA | 42.16 | 36.8 | 45.62 | 75.51 | 76.53 | 79.29 |\n| --- | --- | --- | --- | --- | --- | --- |\n| VGGCCA | 43.05 | 39.61 | 46.14 | 77.49 | 76.84 | 79.49 |\n| C3D | 51.2 | 45.82 | 52.88 | 81.05 | 80.04 | 82.33 |",1]
["| Dataset | HMDB51 | UCF101 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | MP | GMM-FV | RNN-FV | MP | GMMFV | RNN-FV |","| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |\n| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| Dataset | HMDB51 | UCF101 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | MP | GMM-FV | RNN-FV | MP | GMMFV | RNN-FV |\n| VGGPCA | 42.16 | 36.8 | 45.62 | 75.51 | 76.53 | 79.29 |","| VGGCCA | 43.05 | 39.61 | 46.14 | 77.49 | 76.84 | 79.49 |\n| --- | --- | --- | --- | --- | --- | --- |\n| C3D | 51.2 | 45.82 | 52.88 | 81.05 | 80.04 | 82.33 |",1]
["| Dataset | HMDB51 | UCF101 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | MP | GMM-FV | RNN-FV | MP | GMMFV | RNN-FV |\n| VGGPCA | 42.16 | 36.8 | 45.62 | 75.51 | 76.53 | 79.29 |","| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |","| 1 | -1.00 | 5 | -0.20 | 10 | 1.48 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | -1.00 | 6 | 1.29 | 11 | -2.57 |\n| 3 | -0.50 | 7 | 1.52 | 12 | -2.57 |\n| 4 | -0.30 | 8 | 1.45 | 13 | -2.84 |\n|  |  | 9 | 1.12 | 14 | 0.52 |",1]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |","| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |\n| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 |\n| 2 | -0.30 | 6 | 0.29 | 11 | -2.30 |\n| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |\n| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |\n|  |  | 9 | 0.10 | 14 | 0.50 |",0]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |","| 1 | -1.00 | 5 | -0.20 | 10 | 1.48 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | -1.00 | 6 | 1.29 | 11 | -2.57 |\n| 3 | -0.50 | 7 | 1.52 | 12 | -2.57 |\n| 4 | -0.30 | 8 | 1.45 | 13 | -2.84 |\n|  |  | 9 | 1.12 | 14 | 0.52 |",1]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |","| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |\n|  |  | 9 | 0.10 | 14 | 0.50 |",0]
["| Device | CPU | Time[ms] |  |  |\n| --- | --- | --- | --- | --- |\n| Ourdetector | V-J(OpenCV) | LBPs(OpenCV) |  |  |\n| PC1 | 3.4GHzCorei7-2600 | 2.4 | 16.9 | 4.9 |\n| PC2 | 2.53GHzCore2DuoP8700 | 2.8 | 25.4 | 6.3 |","| iPhone5 | 1.3GHzAppleA6 | 6.3 | 175.3 | 47.3 |\n| --- | --- | --- | --- | --- |\n| iPad2 | 1GHzARMCortex-A9 | 12.1 | 347.6 | 103.5 |\n| iPhone4S | 800MHzARMCortex-A9 | 14.7 | 430.3 | 129.2 |",1]
["| Device | CPU | Time[ms] |  |  |\n| --- | --- | --- | --- | --- |\n| Ourdetector | V-J(OpenCV) | LBPs(OpenCV) |  |  |\n| PC1 | 3.4GHzCorei7-2600 | 2.4 | 16.9 | 4.9 |\n| PC2 | 2.53GHzCore2DuoP8700 | 2.8 | 25.4 | 6.3 |","| Processor | Gﬂop/s |\n| --- | --- |\n| 2530-MHzIntelP4(icc) | 1.17 |\n| 2530-MHzIntelP4(SSE) | 6.51 |\n| 2600-MHzAMDOpteron8435 | 13.88 |\n| 2660-MHzIntelXeonE5430 | 16.34 |\n| 2100-MHzAMDOpteron6172(Hopper) | 14.25 |\n| PowerXCell8i(singleSPE) | 16.36 |\n| 2200-MHzAMDOpteron6274(Jaguar) | 16.97 |\n| 2600-MHzIntelXeonE5-2670(AVX) | 28.41 |\n| 1300-MHzNVIDIAM2090GPU(16SMs) | 1097.00 |\n| 732-MHzNVIDIAK20XGPU(15SMs) | 2243.00 |",0]
["| Device | CPU | Time[ms] |  |  |\n| --- | --- | --- | --- | --- |\n| Ourdetector | V-J(OpenCV) | LBPs(OpenCV) |  |  |\n| PC1 | 3.4GHzCorei7-2600 | 2.4 | 16.9 | 4.9 |\n| PC2 | 2.53GHzCore2DuoP8700 | 2.8 | 25.4 | 6.3 |","| iPhone5 | 1.3GHzAppleA6 | 6.3 | 175.3 | 47.3 |\n| --- | --- | --- | --- | --- |\n| iPad2 | 1GHzARMCortex-A9 | 12.1 | 347.6 | 103.5 |\n| iPhone4S | 800MHzARMCortex-A9 | 14.7 | 430.3 | 129.2 |",1]
["| Device | CPU | Time[ms] |  |  |\n| --- | --- | --- | --- | --- |\n| Ourdetector | V-J(OpenCV) | LBPs(OpenCV) |  |  |\n| PC1 | 3.4GHzCorei7-2600 | 2.4 | 16.9 | 4.9 |\n| PC2 | 2.53GHzCore2DuoP8700 | 2.8 | 25.4 | 6.3 |","| 2600-MHzIntelXeonE5-2670(AVX) | 28.41 |\n| --- | --- |\n| 1300-MHzNVIDIAM2090GPU(16SMs) | 1097.00 |\n| 732-MHzNVIDIAK20XGPU(15SMs) | 2243.00 |",0]
["|  | Typeprediction | Linkprediction |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |","| Simple | .817 | - | - | .663 | .478 | .848 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BestEG | .869 | - | - | .693 | .502 | .884 |\n| MP+p | .831 | - | - | .720 | .546 | .894 |\n| BaseClassiﬁer | .830 | .712 | .937 | .650 | .446 | .841 |\n| ILPJointModel | .857 | .770 | .943 | .683 | .486 | .881 |\n| JointModel | .813 | .692 | .934 | .740 | .577 | .903 |",1]
["|  | Typeprediction | Linkprediction |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |","|  | Typeprediction | Linkprediction |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | MCf1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |\n| Nostructural | .808 | .824 | .694 | .907 | .760 | .598 | .922 |\n| NoBOW | .796 | .833 | .652 | .902 | .728 | .543 | .912 |\n| NoEmbeddings | .827 | .874 | .695 | .911 | .750 | .581 | .918 |\n| OnlyAvgEmb* | .832 | .873 | .717 | .917 | .751 | .583 | .918 |\n| OnlyMaxEmb* | .843 | .874 | .732 | .923 | .766 | .608 | .924 |\n| OnlyMinEmb* | .838 | .878 | .719 | .918 | .763 | .602 | .924 |\n| Allfeatures | .849 | .894 | .732 | .921 | .767 | .608 | .925 |",0]
["|  | Typeprediction | Linkprediction |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |\n| Simple | .817 | - | - | .663 | .478 | .848 |\n| BestEG | .869 | - | - | .693 | .502 | .884 |\n| MP+p | .831 | - | - | .720 | .546 | .894 |","| BaseClassiﬁer | .830 | .712 | .937 | .650 | .446 | .841 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ILPJointModel | .857 | .770 | .943 | .683 | .486 | .881 |\n| JointModel | .813 | .692 | .934 | .740 | .577 | .903 |",1]
["|  | Typeprediction | Linkprediction |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |\n| Simple | .817 | - | - | .663 | .478 | .848 |\n| BestEG | .869 | - | - | .693 | .502 | .884 |\n| MP+p | .831 | - | - | .720 | .546 | .894 |","| OnlyMaxEmb* | .843 | .874 | .732 | .923 | .766 | .608 | .924 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OnlyMinEmb* | .838 | .878 | .719 | .918 | .763 | .602 | .924 |\n| Allfeatures | .849 | .894 | .732 | .921 | .767 | .608 | .925 |",0]
["| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |\n| --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |","| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",1]
["| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |\n| --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |","| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| Dissimilar |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",0]
["| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |","| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",1]
["| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |","| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| --- | --- | --- | --- | --- |\n| Dissimilar |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",0]
["| QAP | MIN | PATH | QPB | GRAD | U |\n| --- | --- | --- | --- | --- | --- |\n| chr12c | 11156 | 18048 | 20306 | 19014 | 40370 |\n| chr15a | 9896 | 19086 | 26132 | 30370 | 60986 |\n| chr15c | 9504 | 16206 | 29862 | 23686 | 76318 |","| chr20b | 2298 | 5560 | 6674 | 6290 | 10022 |\n| --- | --- | --- | --- | --- | --- |\n| chr22b | 6194 | 8500 | 9942 | 9658 | 13118 |\n| esc16b | 292 | 300 | 296 | 298 | 306 |\n| rou12 | 235528 | 256320 | 278834 | 273438 | 295752 |\n| rou15 | 354210 | 391270 | 381016 | 457908 | 480352 |\n| rou20 | 725522 | 778284 | 804676 | 840120 | 905246 |\n| tai10a | 135028 | 152534 | 165364 | 168096 | 189852 |\n| tai15a | 388214 | 419224 | 455778 | 451164 | 483596 |\n| tai17a | 491812 | 530978 | 550852 | 589814 | 620964 |\n| tai20a | 703482 | 753712 | 799790 | 871480 | 915144 |\n| tai30a | 1818146 | 1903872 | 1996442 | 2077958 | 2213846 |\n| tai35a | 2422002 | 2555110 | 2720986 | 2803456 | 2925390 |\n| tai40a | 3139370 | 3281830 | 3529402 | 3668044 | 3727478 |",1]
["| QAP | MIN | PATH | QPB | GRAD | U |\n| --- | --- | --- | --- | --- | --- |\n| chr12c | 11156 | 18048 | 20306 | 19014 | 40370 |\n| chr15a | 9896 | 19086 | 26132 | 30370 | 60986 |\n| chr15c | 9504 | 16206 | 29862 | 23686 | 76318 |","| Applicati | nVEX1 | VEX2 | VEX4 | VEX8 | VEX16 |\n| --- | --- | --- | --- | --- | --- |\n| fsdither | 143768 | 99667 | 84053 | 80412 | 79949 |\n| hilcurv | 382248 | 214232 | 144607 | 144598 | 144596 |\n| htpack | 33871 | 26418 | 21811 | 16339 | 15621 |\n| htunpack | 33947 | 24759 | 20152 | 12234 | 10445 |\n| xteaenc | 466824 | 256793 | 234399 | 222079 | 220167 |\n| xteadec | 463349 | 255375 | 240186 | 226287 | 223895 |",0]
["| QAP | MIN | PATH | QPB | GRAD | U |\n| --- | --- | --- | --- | --- | --- |\n| chr12c | 11156 | 18048 | 20306 | 19014 | 40370 |\n| chr15a | 9896 | 19086 | 26132 | 30370 | 60986 |","| chr15c | 9504 | 16206 | 29862 | 23686 | 76318 |\n| --- | --- | --- | --- | --- | --- |\n| chr20b | 2298 | 5560 | 6674 | 6290 | 10022 |\n| chr22b | 6194 | 8500 | 9942 | 9658 | 13118 |\n| esc16b | 292 | 300 | 296 | 298 | 306 |\n| rou12 | 235528 | 256320 | 278834 | 273438 | 295752 |\n| rou15 | 354210 | 391270 | 381016 | 457908 | 480352 |\n| rou20 | 725522 | 778284 | 804676 | 840120 | 905246 |\n| tai10a | 135028 | 152534 | 165364 | 168096 | 189852 |\n| tai15a | 388214 | 419224 | 455778 | 451164 | 483596 |\n| tai17a | 491812 | 530978 | 550852 | 589814 | 620964 |\n| tai20a | 703482 | 753712 | 799790 | 871480 | 915144 |\n| tai30a | 1818146 | 1903872 | 1996442 | 2077958 | 2213846 |\n| tai35a | 2422002 | 2555110 | 2720986 | 2803456 | 2925390 |\n| tai40a | 3139370 | 3281830 | 3529402 | 3668044 | 3727478 |",1]
["| QAP | MIN | PATH | QPB | GRAD | U |\n| --- | --- | --- | --- | --- | --- |\n| chr12c | 11156 | 18048 | 20306 | 19014 | 40370 |\n| chr15a | 9896 | 19086 | 26132 | 30370 | 60986 |","| htunpack | 33947 | 24759 | 20152 | 12234 | 10445 |\n| --- | --- | --- | --- | --- | --- |\n| xteaenc | 466824 | 256793 | 234399 | 222079 | 220167 |\n| xteadec | 463349 | 255375 | 240186 | 226287 | 223895 |",0]
["| Method | MORPHAlbum2 | FG-NET |\n| --- | --- | --- |\n| AGES | 8.83 | 6.77 |\n| OHRank | 6.07 | 4.48 |\n| CA-SVR | 5.88 | 4.67 |\n| DLA | 4.77 | 4.26 |\n| BIF+KCCA | 3.98 | – |\n| CNN(Multi-Task) | 3.63 | – |","| MF+VisReg | 3.45 | – |\n| --- | --- | --- |\n| DEX | 3.25 | 4.63 |\n| DEX(IMDB-WIKI) | 2.68 | 3.09 |\n| R-SAAFc2(IMDB-WIKI) | – | 3.01 |\n| DLDL | 2.42 | – |\n| AL-RoR-34 | 2.36 | 2.39 |",1]
["| Method | MORPHAlbum2 | FG-NET |\n| --- | --- | --- |\n| AGES | 8.83 | 6.77 |\n| OHRank | 6.07 | 4.48 |\n| CA-SVR | 5.88 | 4.67 |\n| DLA | 4.77 | 4.26 |\n| BIF+KCCA | 3.98 | – |\n| CNN(Multi-Task) | 3.63 | – |","| Method | LPBA40 | OASIS | Fetal |\n| --- | --- | --- | --- |\n| Auto-U-net | 10.03 | 22.85 | 14.11 |\n| U-net | 4.57 | 11.36 | 6.87 |\n| Auto-2.5D-CNN | 794.42 | 641.26 | 501.73 |\n| 2.5D-CNN | 396.23 | 320.12 | 244.9 |\n| PCNN | 36.51 | 40.99 | - |\n| BET | 2.04 | 1.96 | 1.62 |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |\n| Robex | 52.10 | 63.25 | - |\n| HWA | 18.73 | 13.42 | - |",0]
["| Method | MORPHAlbum2 | FG-NET |\n| --- | --- | --- |\n| AGES | 8.83 | 6.77 |\n| OHRank | 6.07 | 4.48 |\n| CA-SVR | 5.88 | 4.67 |\n| DLA | 4.77 | 4.26 |\n| BIF+KCCA | 3.98 | – |\n| CNN(Multi-Task) | 3.63 | – |\n| MF+VisReg | 3.45 | – |\n| DEX | 3.25 | 4.63 |\n| DEX(IMDB-WIKI) | 2.68 | 3.09 |","| R-SAAFc2(IMDB-WIKI) | – | 3.01 |\n| --- | --- | --- |\n| DLDL | 2.42 | – |\n| AL-RoR-34 | 2.36 | 2.39 |",1]
["| Method | MORPHAlbum2 | FG-NET |\n| --- | --- | --- |\n| AGES | 8.83 | 6.77 |\n| OHRank | 6.07 | 4.48 |\n| CA-SVR | 5.88 | 4.67 |\n| DLA | 4.77 | 4.26 |\n| BIF+KCCA | 3.98 | – |\n| CNN(Multi-Task) | 3.63 | – |\n| MF+VisReg | 3.45 | – |\n| DEX | 3.25 | 4.63 |\n| DEX(IMDB-WIKI) | 2.68 | 3.09 |","| PCNN | 36.51 | 40.99 | - |\n| --- | --- | --- | --- |\n| BET | 2.04 | 1.96 | 1.62 |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |\n| Robex | 52.10 | 63.25 | - |\n| HWA | 18.73 | 13.42 | - |",0]
["| Parameter | Value |\n| --- | --- |\n| D0 | 22<br>O(cdT(n)) |\n| m,m12 | O(cdT(n)log(n/d)) |\n| m3 | O(cdT(n)log(n/d)) |\n| m4 | O(cdDT(n)log(n/d)) |\n| t1 | O(n/(cdT(n))) |","| t2 | O(nD/(cdT(n))) |\n| --- | --- |\n| e,e,e,e1234 | Ω(ηdlog(n/d)/(1−η)) |\n| m,i∈[4] | O(m/(1−η))i |",1]
["| Parameter | Value |\n| --- | --- |\n| D0 | 22<br>O(cdT(n)) |\n| m,m12 | O(cdT(n)log(n/d)) |\n| m3 | O(cdT(n)log(n/d)) |\n| m4 | O(cdDT(n)log(n/d)) |\n| t1 | O(n/(cdT(n))) |","| Parameter | Value |\n| --- | --- |\n| D0 | 2<br>O(dlogn) |\n| m,m12 | O(d(logn)/(1−p)) |\n| m3 | O(d(logn)/(1−p)) |\n| m4 | O(dD(logn)/(1−p)) |\n| e | Ω(ηdlogn) |",0]
["| Parameter | Value |\n| --- | --- |\n| D0 | 22<br>O(cdT(n)) |\n| m,m12 | O(cdT(n)log(n/d)) |","| m3 | O(cdT(n)log(n/d)) |\n| --- | --- |\n| m4 | O(cdDT(n)log(n/d)) |\n| t1 | O(n/(cdT(n))) |\n| t2 | O(nD/(cdT(n))) |\n| e,e,e,e1234 | Ω(ηdlog(n/d)/(1−η)) |\n| m,i∈[4] | O(m/(1−η))i |",1]
["| Parameter | Value |\n| --- | --- |\n| D0 | 22<br>O(cdT(n)) |\n| m,m12 | O(cdT(n)log(n/d)) |","| m4 | O(dD(logn)/(1−p)) |\n| --- | --- |\n| e | Ω(ηdlogn) |",0]
["| θ | Basis1 | Basis2 | Basis3 | Basis4 | Basis5 | Basis6 | Basis7 | Endpoint |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ShoulderY | 1.0 | 0.760 | -0.03 | 0.641 | 0.274 | 0.187 | -0.77 | 0.164 |","| ShoulderX | 0.164 | -0.99 | 0.029 | -1.0 | -0.39 | -0.40 | -0.75 | 0.927 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ArmZ | -0.69 | 0.927 | -0.47 | -0.77 | 0.084 | -0.05 | 0.221 | -0.88 |\n| ElbowY | -0.72 | 0.775 | -0.88 | 0.532 | -0.98 | 1.0 | -0.70 | 0.886 |",1]
["| θ | Basis1 | Basis2 | Basis3 | Basis4 | Basis5 | Basis6 | Basis7 | Endpoint |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ShoulderY | 1.0 | 0.760 | -0.03 | 0.641 | 0.274 | 0.187 | -0.77 | 0.164 |","| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |\n|  | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |\n|  | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |\n| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |\n| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |\n| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |\n| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 |",0]
["| θ | Basis1 | Basis2 | Basis3 | Basis4 | Basis5 | Basis6 | Basis7 | Endpoint |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ShoulderY | 1.0 | 0.760 | -0.03 | 0.641 | 0.274 | 0.187 | -0.77 | 0.164 |","| ShoulderX | 0.164 | -0.99 | 0.029 | -1.0 | -0.39 | -0.40 | -0.75 | 0.927 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ArmZ | -0.69 | 0.927 | -0.47 | -0.77 | 0.084 | -0.05 | 0.221 | -0.88 |\n| ElbowY | -0.72 | 0.775 | -0.88 | 0.532 | -0.98 | 1.0 | -0.70 | 0.886 |",1]
["| θ | Basis1 | Basis2 | Basis3 | Basis4 | Basis5 | Basis6 | Basis7 | Endpoint |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ShoulderY | 1.0 | 0.760 | -0.03 | 0.641 | 0.274 | 0.187 | -0.77 | 0.164 |","|  | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |\n| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |\n| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |\n| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |\n| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 |",0]
["| α | DirectBetter | SR-BasedBetter |\n| --- | --- | --- |\n| 0.25 | 3 | 47 |","| 0.5 | 5 | 45 |\n| --- | --- | --- |\n| 0.75 | 4 | 46 |\n| 1.0 | 1 | 49 |",1]
["| α | DirectBetter | SR-BasedBetter |\n| --- | --- | --- |\n| 0.25 | 3 | 47 |","| α | PerfFTCost |\n| --- | --- |\n| 2 | .469.793.034 |\n| 16 | .479.797.035 |\n| 64 | .489.822.035 |\n| 2 | .471.782.035 |\n| 16 | .487.956.042 |\n| 64 | .548.998.054 |",0]
["| α | DirectBetter | SR-BasedBetter |\n| --- | --- | --- |\n| 0.25 | 3 | 47 |\n| 0.5 | 5 | 45 |","| 0.75 | 4 | 46 |\n| --- | --- | --- |\n| 1.0 | 1 | 49 |",1]
["| α | DirectBetter | SR-BasedBetter |\n| --- | --- | --- |\n| 0.25 | 3 | 47 |\n| 0.5 | 5 | 45 |","| 2 | .471.782.035 |\n| --- | --- |\n| 16 | .487.956.042 |\n| 64 | .548.998.054 |",0]
["|  | TransistorNum | Power(µW) |\n| --- | --- | --- |\n| CENTMRFinv | 12 | 0.316 |\n| Proposedinv | 16 | 0.318 |\n| CENTMRFnand | 14 | 0.499 |\n| Proposednand | 18 | 0.497 |","| CENTMRFxor | 22 | 0.725 |\n| --- | --- | --- |\n| Proposedxor | 26 | 0.721 |",1]
["|  | TransistorNum | Power(µW) |\n| --- | --- | --- |\n| CENTMRFinv | 12 | 0.316 |\n| Proposedinv | 16 | 0.318 |\n| CENTMRFnand | 14 | 0.499 |\n| Proposednand | 18 | 0.497 |","| Parameter | 8-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 85.1609µ | 33.728n | 132.9407µ |\n| Averagepower<br>consumption(watts) | 14.42E-05 | 2.615E-05 | 28.147E-05 |\n| PropagationDelay(s) | 155.61p | 132.74f | 195.02p |\n| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 |",0]
["|  | TransistorNum | Power(µW) |\n| --- | --- | --- |\n| CENTMRFinv | 12 | 0.316 |\n| Proposedinv | 16 | 0.318 |\n| CENTMRFnand | 14 | 0.499 |","| Proposednand | 18 | 0.497 |\n| --- | --- | --- |\n| CENTMRFxor | 22 | 0.725 |\n| Proposedxor | 26 | 0.721 |",1]
["|  | TransistorNum | Power(µW) |\n| --- | --- | --- |\n| CENTMRFinv | 12 | 0.316 |\n| Proposedinv | 16 | 0.318 |\n| CENTMRFnand | 14 | 0.499 |","| Averagepower<br>consumption(watts) | 14.42E-05 | 2.615E-05 | 28.147E-05 |\n| --- | --- | --- | --- |\n| PropagationDelay(s) | 155.61p | 132.74f | 195.02p |\n| Powerdelayproduct(J) | 22.438E-15 | 3.471E-18 | 54.89E-15 |",0]
["| random | frequent | Alg.?? | combined |  |\n| --- | --- | --- | --- | --- |\n| Nexus4#1 | 0.61 | 0.38 | 0.27 | 0.24 |\n| Nexus4#2 | 0.63 | 0.61 | 0.59 | 0.52 |","| Nexus5 | 0.68 | 0.6 | 0.55 | 0.45 |\n| --- | --- | --- | --- | --- |\n| HTCDesire | 0.65 | 0.59 | 0.5 | 0.45 |",1]
["| random | frequent | Alg.?? | combined |  |\n| --- | --- | --- | --- | --- |\n| Nexus4#1 | 0.61 | 0.38 | 0.27 | 0.24 |\n| Nexus4#2 | 0.63 | 0.61 | 0.59 | 0.52 |","| Phone | Track |\n| --- | --- |\n| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 |\n| Nexus4#2 | 7-1-2-3-4-5-8-7-6-5-4-2-1-7-8 |\n| Nexus5 | 3-2-4-9-10-12-11-9-4-5-6-4-3-2-1-7-6-5-8-7 |\n| HTCDesire | 10-12-11-9-4-2-1-7-6-5-8 |",0]
["| random | frequent | Alg.?? | combined |  |\n| --- | --- | --- | --- | --- |\n| Nexus4#1 | 0.61 | 0.38 | 0.27 | 0.24 |","| Nexus4#2 | 0.63 | 0.61 | 0.59 | 0.52 |\n| --- | --- | --- | --- | --- |\n| Nexus5 | 0.68 | 0.6 | 0.55 | 0.45 |\n| HTCDesire | 0.65 | 0.59 | 0.5 | 0.45 |",1]
["| random | frequent | Alg.?? | combined |  |\n| --- | --- | --- | --- | --- |\n| Nexus4#1 | 0.61 | 0.38 | 0.27 | 0.24 |","| Nexus5 | 3-2-4-9-10-12-11-9-4-5-6-4-3-2-1-7-6-5-8-7 |\n| --- | --- |\n| HTCDesire | 10-12-11-9-4-2-1-7-6-5-8 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 688.91,281.29 | 1090.71,552.12 | 338.97,366.42 | 181.04,280.57 | 186.11,223.51 | 191.32,212.11 |\n| 2 | 633.08,187.74 | 464.23,143.99 | 310.17,226.07 | 182.89,201.83 | 134.91,191.77 | 197.01,153.41 |\n| 3 | 2285.11,301.45 | 4929.71,436.26 | 359.97,246.45 | 184.91,216.05 | 161.21,255.71 | 201.04,168.91 |\n| 4 | 1202.11,2664.01 | 2537.21,7280.43 | 346.56,330.79 | 164.11,246.59 | 190.12,164.84 | 199.37,154.58 |\n| 5 | 1388.72,276.79 | 1073.91,630.76 | 428.04,327.46 | 222.63,287.75 | 239.25,215.67 | 200.78,225.44 |\n| 6 | 874.85,239.81 | 726.24,491.89 | 429.17,265.61 | 215.31,190.13 | 232.84,234.02 | 175.45,177.93 |\n| 7 | 710.24,328.63 | 443.08,224.25 | 449.44,217.21 | 240.39,175.33 | 242.87,162.01 | 188.21,140.37 |","| 8 | 666.58,257.17 | 376.31,194.65 | 397.56,236.25 | 226.65,181.82 | 196.38,152.45 | 191.22,131.81 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | 623.68,316.73 | 412.11,209.09 | 395.59,337.47 | 206.61,246.04 | 204.87,220.94 | 197.46,202.01 |\n| 10 | 750.93,332.06 | 947.91,1462.83 | 430.95,319.41 | 247.44,263.63 | 272.23,223.17 | 231.42,205.61 |\n| 11 | 924.62,398.24 | 2297.01,297.93 | 443.03,580.46 | 229.99,412.91 | 252.93,320.81 | 186.16,255.22 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 688.91,281.29 | 1090.71,552.12 | 338.97,366.42 | 181.04,280.57 | 186.11,223.51 | 191.32,212.11 |\n| 2 | 633.08,187.74 | 464.23,143.99 | 310.17,226.07 | 182.89,201.83 | 134.91,191.77 | 197.01,153.41 |\n| 3 | 2285.11,301.45 | 4929.71,436.26 | 359.97,246.45 | 184.91,216.05 | 161.21,255.71 | 201.04,168.91 |\n| 4 | 1202.11,2664.01 | 2537.21,7280.43 | 346.56,330.79 | 164.11,246.59 | 190.12,164.84 | 199.37,154.58 |\n| 5 | 1388.72,276.79 | 1073.91,630.76 | 428.04,327.46 | 222.63,287.75 | 239.25,215.67 | 200.78,225.44 |\n| 6 | 874.85,239.81 | 726.24,491.89 | 429.17,265.61 | 215.31,190.13 | 232.84,234.02 | 175.45,177.93 |\n| 7 | 710.24,328.63 | 443.08,224.25 | 449.44,217.21 | 240.39,175.33 | 242.87,162.01 | 188.21,140.37 |","| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |\n| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |\n| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |\n| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |\n| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |\n| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |\n| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |\n| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |\n| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 688.91,281.29 | 1090.71,552.12 | 338.97,366.42 | 181.04,280.57 | 186.11,223.51 | 191.32,212.11 |\n| 2 | 633.08,187.74 | 464.23,143.99 | 310.17,226.07 | 182.89,201.83 | 134.91,191.77 | 197.01,153.41 |\n| 3 | 2285.11,301.45 | 4929.71,436.26 | 359.97,246.45 | 184.91,216.05 | 161.21,255.71 | 201.04,168.91 |\n| 4 | 1202.11,2664.01 | 2537.21,7280.43 | 346.56,330.79 | 164.11,246.59 | 190.12,164.84 | 199.37,154.58 |\n| 5 | 1388.72,276.79 | 1073.91,630.76 | 428.04,327.46 | 222.63,287.75 | 239.25,215.67 | 200.78,225.44 |\n| 6 | 874.85,239.81 | 726.24,491.89 | 429.17,265.61 | 215.31,190.13 | 232.84,234.02 | 175.45,177.93 |\n| 7 | 710.24,328.63 | 443.08,224.25 | 449.44,217.21 | 240.39,175.33 | 242.87,162.01 | 188.21,140.37 |\n| 8 | 666.58,257.17 | 376.31,194.65 | 397.56,236.25 | 226.65,181.82 | 196.38,152.45 | 191.22,131.81 |\n| 9 | 623.68,316.73 | 412.11,209.09 | 395.59,337.47 | 206.61,246.04 | 204.87,220.94 | 197.46,202.01 |","| 10 | 750.93,332.06 | 947.91,1462.83 | 430.95,319.41 | 247.44,263.63 | 272.23,223.17 | 231.42,205.61 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11 | 924.62,398.24 | 2297.01,297.93 | 443.03,580.46 | 229.99,412.91 | 252.93,320.81 | 186.16,255.22 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 688.91,281.29 | 1090.71,552.12 | 338.97,366.42 | 181.04,280.57 | 186.11,223.51 | 191.32,212.11 |\n| 2 | 633.08,187.74 | 464.23,143.99 | 310.17,226.07 | 182.89,201.83 | 134.91,191.77 | 197.01,153.41 |\n| 3 | 2285.11,301.45 | 4929.71,436.26 | 359.97,246.45 | 184.91,216.05 | 161.21,255.71 | 201.04,168.91 |\n| 4 | 1202.11,2664.01 | 2537.21,7280.43 | 346.56,330.79 | 164.11,246.59 | 190.12,164.84 | 199.37,154.58 |\n| 5 | 1388.72,276.79 | 1073.91,630.76 | 428.04,327.46 | 222.63,287.75 | 239.25,215.67 | 200.78,225.44 |\n| 6 | 874.85,239.81 | 726.24,491.89 | 429.17,265.61 | 215.31,190.13 | 232.84,234.02 | 175.45,177.93 |\n| 7 | 710.24,328.63 | 443.08,224.25 | 449.44,217.21 | 240.39,175.33 | 242.87,162.01 | 188.21,140.37 |\n| 8 | 666.58,257.17 | 376.31,194.65 | 397.56,236.25 | 226.65,181.82 | 196.38,152.45 | 191.22,131.81 |\n| 9 | 623.68,316.73 | 412.11,209.09 | 395.59,337.47 | 206.61,246.04 | 204.87,220.94 | 197.46,202.01 |","| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |\n| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",0]
["| Step | V | V1 | C | V2 |\n| --- | --- | --- | --- | --- |\n| Initial | v,v,v,v,v,v,v3456789 | v1 | ∅ | v2 |\n| Checkv3 | v,v,v,v,v,v456789 | v,v13 | ∅ | v2 |\n| Checkv4 | v,v,v,v,v56789 | v,v13 | v4 | v2 |\n| Checkv5 | v,v,v,v6789 | v,v13 | v4 | v,v25 |","| Checkv6 | v,v,v789 | v,v,v136 | v4 | v,v25 |\n| --- | --- | --- | --- | --- |\n| Checkv7 | v,v89 | v,v,v136 | v,v47 | v,v25 |\n| Checkv8 | v9 | v,v,v136 | v,v,v478 | v,v25 |\n| Checkv9 | ∅ | v,v,v136 | v,v,v478 | v,v,v259 |",1]
["| Step | V | V1 | C | V2 |\n| --- | --- | --- | --- | --- |\n| Initial | v,v,v,v,v,v,v3456789 | v1 | ∅ | v2 |\n| Checkv3 | v,v,v,v,v,v456789 | v,v13 | ∅ | v2 |\n| Checkv4 | v,v,v,v,v56789 | v,v13 | v4 | v2 |\n| Checkv5 | v,v,v,v6789 | v,v13 | v4 | v,v25 |","| i | U | L∩U | S | Selectednode | Case |\n| --- | --- | --- | --- | --- | --- |\n| 1 | {v,v,v,v,v,v}123456 | ∅ | ∅ | v2 | 3 |\n| 2 | {v,v,v,v,v,v}123456 | v2 | ∅ | v1 | 2 |\n| 3 | {v,v,v,v,v}23456 | v2 | v1 | v4 | 1 |\n| 4 | {v,v,v,v}2356 | v2 | v1 | v2 | 1 |\n| 5 | {v,v,v}356 | ∅ | v1 | v3 | 3 |\n| 6 | {v,v,v}356 | v3 | v1 | v6 | 2 |\n| 7 | {v,v}35 | v3 | v,v16 | v3 | 1 |\n| 8 | {v}5 | ∅ | v,v16 | v5 | 1 |",0]
["| Step | V | V1 | C | V2 |\n| --- | --- | --- | --- | --- |\n| Initial | v,v,v,v,v,v,v3456789 | v1 | ∅ | v2 |\n| Checkv3 | v,v,v,v,v,v456789 | v,v13 | ∅ | v2 |","| Checkv4 | v,v,v,v,v56789 | v,v13 | v4 | v2 |\n| --- | --- | --- | --- | --- |\n| Checkv5 | v,v,v,v6789 | v,v13 | v4 | v,v25 |\n| Checkv6 | v,v,v789 | v,v,v136 | v4 | v,v25 |\n| Checkv7 | v,v89 | v,v,v136 | v,v47 | v,v25 |\n| Checkv8 | v9 | v,v,v136 | v,v,v478 | v,v25 |\n| Checkv9 | ∅ | v,v,v136 | v,v,v478 | v,v,v259 |",1]
["| Step | V | V1 | C | V2 |\n| --- | --- | --- | --- | --- |\n| Initial | v,v,v,v,v,v,v3456789 | v1 | ∅ | v2 |\n| Checkv3 | v,v,v,v,v,v456789 | v,v13 | ∅ | v2 |","| 6 | {v,v,v}356 | v3 | v1 | v6 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | {v,v}35 | v3 | v,v16 | v3 | 1 |\n| 8 | {v}5 | ∅ | v,v16 | v5 | 1 |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29} | {9} | {9} | {29} |","| 2 | {26,29} | {26,29} | {9,29} | {26,29} |\n| --- | --- | --- | --- | --- |\n| 3 | {10,12,26} | {10,12,26} | {9,26,29} | {10,12,26} |\n| 4 | {10,12,26,32},...(4) | {10,12,24,26},...(4) | {10,12,26,29} | {10,12,26,29} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29} | {9} | {9} | {29} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29},...(1) | {15} | {1} | {29} |\n| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |\n| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29} | {9} | {9} | {29} |\n| 2 | {26,29} | {26,29} | {9,29} | {26,29} |","| 3 | {10,12,26} | {10,12,26} | {9,26,29} | {10,12,26} |\n| --- | --- | --- | --- | --- |\n| 4 | {10,12,26,32},...(4) | {10,12,24,26},...(4) | {10,12,26,29} | {10,12,26,29} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29} | {9} | {9} | {29} |\n| 2 | {26,29} | {26,29} | {9,29} | {26,29} |","| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |\n| --- | --- | --- | --- | --- |\n| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",0]
["| Matrix | #ofRows | Nonzeros | NNZ/N | Mb(CSR) |\n| --- | --- | --- | --- | --- |\n| ESOC | 327,062 | 6,019,939 | 18 | 70 |","| afshell8 | 504,855 | 9,042,005 | 18 | 105 |\n| --- | --- | --- | --- | --- |\n| tmtsym | 726,713 | 2,903,837 | 4 | 36 |\n| ecology2 | 999,999 | 2,997,995 | 3 | 38 |\n| thermal2 | 1,228,045 | 4,904,179 | 4 | 61 |\n| Hook1498 | 1,498,023 | 30,436,237 | 20 | 354 |\n| G3circuit | 1,585,478 | 4,623,152 | 3 | 59 |\n| kktpower | 2,063,494 | 7,209,692 | 3 | 90 |\n| memchip | 2,707,524 | 13,343,948 | 5 | 163 |\n| 3DPoisson | 3,375,000 | 23,490,000 | 7 | 282 |\n| Freescale1 | 3,428,755 | 17,052,626 | 5 | 208 |\n| cage15 | 5,154,859 | 99,199,551 | 19 | 1155 |",1]
["| Matrix | #ofRows | Nonzeros | NNZ/N | Mb(CSR) |\n| --- | --- | --- | --- | --- |\n| ESOC | 327,062 | 6,019,939 | 18 | 70 |","| Graphs | \\|V\\| | \\|E\\| | 50<br>\\|V\\| | N50 | T50 | 200<br>\\|V\\| | N200 | T200 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |\n| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| Matrix | #ofRows | Nonzeros | NNZ/N | Mb(CSR) |\n| --- | --- | --- | --- | --- |\n| ESOC | 327,062 | 6,019,939 | 18 | 70 |\n| afshell8 | 504,855 | 9,042,005 | 18 | 105 |","| tmtsym | 726,713 | 2,903,837 | 4 | 36 |\n| --- | --- | --- | --- | --- |\n| ecology2 | 999,999 | 2,997,995 | 3 | 38 |\n| thermal2 | 1,228,045 | 4,904,179 | 4 | 61 |\n| Hook1498 | 1,498,023 | 30,436,237 | 20 | 354 |\n| G3circuit | 1,585,478 | 4,623,152 | 3 | 59 |\n| kktpower | 2,063,494 | 7,209,692 | 3 | 90 |\n| memchip | 2,707,524 | 13,343,948 | 5 | 163 |\n| 3DPoisson | 3,375,000 | 23,490,000 | 7 | 282 |\n| Freescale1 | 3,428,755 | 17,052,626 | 5 | 208 |\n| cage15 | 5,154,859 | 99,199,551 | 19 | 1155 |",1]
["| Matrix | #ofRows | Nonzeros | NNZ/N | Mb(CSR) |\n| --- | --- | --- | --- | --- |\n| ESOC | 327,062 | 6,019,939 | 18 | 70 |\n| afshell8 | 504,855 | 9,042,005 | 18 | 105 |","| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| NetConﬁg | WE | CSR |\n| --- | --- | --- |\n| Embeddingdim | 50,300 | 50 |\n| CNNﬁlterwidth | 5 | 3,5 |\n| CNNnum.ofﬁlters | 100 | 128,32 |\n| Dropoutrate | 0.5 | 0 |","| BatchNorm | w | w,w/o |\n| --- | --- | --- |\n| SimMatrix | w | w/o |\n| Pooling | average | max |",1]
["| NetConﬁg | WE | CSR |\n| --- | --- | --- |\n| Embeddingdim | 50,300 | 50 |\n| CNNﬁlterwidth | 5 | 3,5 |\n| CNNnum.ofﬁlters | 100 | 128,32 |\n| Dropoutrate | 0.5 | 0 |","| Type | Conﬁguration |\n| --- | --- |\n| Sigmoid | - |\n| FullyConnected | n:2 |\n| Dropout | ratio:0.5 |\n| FullyConnected | n:512 |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:128,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:64,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:32,k:3×3,s:1,p:1 |\n| Input | 45×45gray-scaleimage |",0]
["| NetConﬁg | WE | CSR |\n| --- | --- | --- |\n| Embeddingdim | 50,300 | 50 |","| CNNﬁlterwidth | 5 | 3,5 |\n| --- | --- | --- |\n| CNNnum.ofﬁlters | 100 | 128,32 |\n| Dropoutrate | 0.5 | 0 |\n| BatchNorm | w | w,w/o |\n| SimMatrix | w | w/o |\n| Pooling | average | max |",1]
["| NetConﬁg | WE | CSR |\n| --- | --- | --- |\n| Embeddingdim | 50,300 | 50 |","| MaxPooling | k:2×2,s:2 |\n| --- | --- |\n| Convolution | n:128,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:64,k:3×3,s:1,p:1 |\n| BatchNormalization | - |\n| MaxPooling | k:2×2,s:2 |\n| Convolution | n:32,k:3×3,s:1,p:1 |\n| Input | 45×45gray-scaleimage |",0]
["| MYEperformanceinGP |  |\n| --- | --- |\n| Coverage | APS>Libra>DBLP |\n| MAE/RMSE | APS<DBLP<Libra |\n| Inferreddataqualityofpapercitationinformation |  |","| Completeness | APS>Libra>DBLP |\n| --- | --- |\n| Correctness | APS>DBLP>Libra |",1]
["| MYEperformanceinGP |  |\n| --- | --- |\n| Coverage | APS>Libra>DBLP |\n| MAE/RMSE | APS<DBLP<Libra |\n| Inferreddataqualityofpapercitationinformation |  |","|  | Accuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | α | β | Ave. | Best | Worst |\n| RMSProp | 0.001 | 0.9 | 92.86 | 97.95 | 84.79 |\n| 0.99 | 98.81 | 99.11 | 98.34 |  |  |\n|  | ρ | γ | Ave. | Best | Worst |\n| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |\n| 0.99 | 99.20 | 99.42 | 99.09 |  |  |",0]
["| MYEperformanceinGP |  |\n| --- | --- |\n| Coverage | APS>Libra>DBLP |\n| MAE/RMSE | APS<DBLP<Libra |","| Inferreddataqualityofpapercitationinformation |  |\n| --- | --- |\n| Completeness | APS>Libra>DBLP |\n| Correctness | APS>DBLP>Libra |",1]
["| MYEperformanceinGP |  |\n| --- | --- |\n| Coverage | APS>Libra>DBLP |\n| MAE/RMSE | APS<DBLP<Libra |","| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |\n| --- | --- | --- | --- | --- | --- |\n| 0.99 | 99.20 | 99.42 | 99.09 |  |  |",0]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |","| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |\n| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",1]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |","| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours-Imagenet | 83.5 | 54.0 | 46.8 | 34.1 | 16.8 | 54.3 | 48.3 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| P.Machines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",0]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |","| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",1]
["| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |","| Ours-Scratch | 67.0 | 38.6 | 34.9 | 20.5 | 9.8 | 35.1 | 34.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| P.Machines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",0]
["| AﬀectiveState | VeryLow | Low | High | VeryHigh |\n| --- | --- | --- | --- | --- |\n| Boredom | 3869 | 2931 | 1934 | 334 |","| Confusion | 6024 | 2191 | 752 | 101 |\n| --- | --- | --- | --- | --- |\n| Engagement | 61 | 459 | 4477 | 4071 |\n| Frustration | 6986 | 1649 | 346 | 87 |",1]
["| AﬀectiveState | VeryLow | Low | High | VeryHigh |\n| --- | --- | --- | --- | --- |\n| Boredom | 3869 | 2931 | 1934 | 334 |","| Expression | Number |\n| --- | --- |\n| Neutral | 80,276 |\n| Happy | 146,198 |\n| Sad | 29,487 |\n| Surprise | 16,288 |\n| Fear | 8,191 |\n| Disgust | 5,264 |\n| Anger | 28,130 |\n| Contempt | 5,135 |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",0]
["| AﬀectiveState | VeryLow | Low | High | VeryHigh |\n| --- | --- | --- | --- | --- |\n| Boredom | 3869 | 2931 | 1934 | 334 |","| Confusion | 6024 | 2191 | 752 | 101 |\n| --- | --- | --- | --- | --- |\n| Engagement | 61 | 459 | 4477 | 4071 |\n| Frustration | 6986 | 1649 | 346 | 87 |",1]
["| AﬀectiveState | VeryLow | Low | High | VeryHigh |\n| --- | --- | --- | --- | --- |\n| Boredom | 3869 | 2931 | 1934 | 334 |","| Fear | 8,191 |\n| --- | --- |\n| Disgust | 5,264 |\n| Anger | 28,130 |\n| Contempt | 5,135 |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",0]
["| Conﬁguration: | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Homogeneous: | 6.50 | 6.11 | 9.18 | 6.07 | 5.75 | 8.43 |\n| Particular: | 0.04 | 0.04 | 0.07 | 0.04 | 0.04 | 0.07 |\n| Boundaryproblem: | 0.24 | 0.24 | 0.25 | 0.24 | 0.24 | 0.25 |","| Reconstruction: | 22.1 | 22.0 | 22.1 | 2.52 | 2.51 | 2.53 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total: | 28.9 | 28.4 | 31.5 | 8.88 | 8.56 | 11.18 |",1]
["| Conﬁguration: | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Homogeneous: | 6.50 | 6.11 | 9.18 | 6.07 | 5.75 | 8.43 |\n| Particular: | 0.04 | 0.04 | 0.07 | 0.04 | 0.04 | 0.07 |\n| Boundaryproblem: | 0.24 | 0.24 | 0.25 | 0.24 | 0.24 | 0.25 |","| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |\n| DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 |\n| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| Conﬁguration: | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Homogeneous: | 6.50 | 6.11 | 9.18 | 6.07 | 5.75 | 8.43 |\n| Particular: | 0.04 | 0.04 | 0.07 | 0.04 | 0.04 | 0.07 |","| Boundaryproblem: | 0.24 | 0.24 | 0.25 | 0.24 | 0.24 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reconstruction: | 22.1 | 22.0 | 22.1 | 2.52 | 2.51 | 2.53 |\n| Total: | 28.9 | 28.4 | 31.5 | 8.88 | 8.56 | 11.18 |",1]
["| Conﬁguration: | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Homogeneous: | 6.50 | 6.11 | 9.18 | 6.07 | 5.75 | 8.43 |\n| Particular: | 0.04 | 0.04 | 0.07 | 0.04 | 0.04 | 0.07 |","| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| type | abbreviation |\n| --- | --- |\n| Hammingdistance<br>normalizedHammingdistance<br>asymmetricHammingdistance<br>weightedHammingdistance<br>query-dependentweightedHammingdistance<br>normalizedHammingaﬃnity | HD<br>NHD<br>AHD<br>WHD<br>QWHD<br>NHA |","| Manhattan | MD |\n| --- | --- |\n| asymmetricEuclideandistance<br>symmetricEuclideandistance | AED<br>SED |\n| lowerbound | LB |",1]
["| type | abbreviation |\n| --- | --- |\n| Hammingdistance<br>normalizedHammingdistance<br>asymmetricHammingdistance<br>weightedHammingdistance<br>query-dependentweightedHammingdistance<br>normalizedHammingaﬃnity | HD<br>NHD<br>AHD<br>WHD<br>QWHD<br>NHA |","| type | abbreviation |\n| --- | --- |\n| Hammingembedding |  |\n| codingconsistent<br>codingconsistenttodistance<br>codebalance<br>bitbalance<br>bituncorrelation<br>projectionuncorrelation<br>mutualinformationmaximization | CC<br>CCD<br>CB<br>BB<br>BU<br>PU<br>MIM |\n| minimizingdiﬀerencesbetweendistances<br>minimizingdiﬀerencesbetweensimilarities<br>minimizingdiﬀerencesbetweensimilaritydistribution | MDD<br>MDS<br>MDSD |\n| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classiﬁcationerror | HL<br>ROL<br>TL<br>CE |\n| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM |\n| Quantization |  |\n| bitallocation<br>quantizationerror<br>equalvariance<br>maximumcosinesimilarity | BA<br>QE<br>EV<br>MCS |",0]
["| type | abbreviation |\n| --- | --- |\n| Hammingdistance<br>normalizedHammingdistance<br>asymmetricHammingdistance<br>weightedHammingdistance<br>query-dependentweightedHammingdistance<br>normalizedHammingaﬃnity | HD<br>NHD<br>AHD<br>WHD<br>QWHD<br>NHA |\n| Manhattan | MD |","| asymmetricEuclideandistance<br>symmetricEuclideandistance | AED<br>SED |\n| --- | --- |\n| lowerbound | LB |",1]
["| type | abbreviation |\n| --- | --- |\n| Hammingdistance<br>normalizedHammingdistance<br>asymmetricHammingdistance<br>weightedHammingdistance<br>query-dependentweightedHammingdistance<br>normalizedHammingaﬃnity | HD<br>NHD<br>AHD<br>WHD<br>QWHD<br>NHA |\n| Manhattan | MD |","| hinge-likeloss<br>rankorderloss<br>tripletloss<br>classiﬁcationerror | HL<br>ROL<br>TL<br>CE |\n| --- | --- |\n| spacepartitioning<br>complementarypartitioning<br>pair-wisebitbalance<br>maximummargin | SP<br>CP<br>PBB<br>MM |\n| Quantization |  |\n| bitallocation<br>quantizationerror<br>equalvariance<br>maximumcosinesimilarity | BA<br>QE<br>EV<br>MCS |",0]
["| Actions | SlideLeft | SlideRight | Touch | Reach | Push |\n| --- | --- | --- | --- | --- | --- |\n| VerbValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |\n| Actions | Pull | Point | Grasp | Lift |  |\n| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 |  |\n| Objects | Tractor | Hammer | Ball | Bus | Modi |\n| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |","| Objects | Car | Cup | Cubes | Spiky |  |\n| --- | --- | --- | --- | --- | --- |\n| NounValues | 0.5 | 0.6 | 0.7 | 0.8 |  |",1]
["| Actions | SlideLeft | SlideRight | Touch | Reach | Push |\n| --- | --- | --- | --- | --- | --- |\n| VerbValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |\n| Actions | Pull | Point | Grasp | Lift |  |\n| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 |  |\n| Objects | Tractor | Hammer | Ball | Bus | Modi |\n| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |","| Movingobjects | Imp | Roadobjects | Imp | Fixedobjects | Imp |\n| --- | --- | --- | --- | --- | --- |\n| Child | 32 | Road | 18 | TraﬃcLight | 17 |\n| Pedestrian | 31 | RoadShoulder | 19 | SignSymbol | 16 |\n| Animal | 30 | LaneMkgsDriv | 20 | TraﬃcCone | 15 |\n| Bicyclist | 29 | LaneMkgsNonDriv | 21 | ColumnPole | 14 |\n| MotorcycleScooter | 28 | Ceilingobjects | Imp | Sidewalk | 13 |\n| CartLuggagePram | 27 | Archway | 3 | Bridge | 12 |\n| Car | 26 | Tunnel | 2 | ParkingBlock | 11 |\n| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |\n| TruckBus | 24 |  |  | Building | 9 |\n| Train | 23 |  |  | Fence | 8 |\n| Misc | 22 |  |  | Wall | 7 |\n|  |  |  |  | Tree | 6 |\n|  |  |  |  | VegetationMisc | 5 |\n|  |  |  |  | Void | 4 |",0]
["| Actions | SlideLeft | SlideRight | Touch | Reach | Push |\n| --- | --- | --- | --- | --- | --- |\n| VerbValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |\n| Actions | Pull | Point | Grasp | Lift |  |\n| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 |  |\n| Objects | Tractor | Hammer | Ball | Bus | Modi |\n| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |","| Objects | Car | Cup | Cubes | Spiky |  |\n| --- | --- | --- | --- | --- | --- |\n| NounValues | 0.5 | 0.6 | 0.7 | 0.8 |  |",1]
["| Actions | SlideLeft | SlideRight | Touch | Reach | Push |\n| --- | --- | --- | --- | --- | --- |\n| VerbValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |\n| Actions | Pull | Point | Grasp | Lift |  |\n| VerbValues | 0.5 | 0.6 | 0.7 | 0.8 |  |\n| Objects | Tractor | Hammer | Ball | Bus | Modi |\n| NounValue | 0.0 | 0.1 | 0.2 | 0.3 | 0.4 |","| Car | 26 | Tunnel | 2 | ParkingBlock | 11 |\n| --- | --- | --- | --- | --- | --- |\n| SUVPickupTruck | 25 | Sky | 1 | MiscText | 10 |\n| TruckBus | 24 |  |  | Building | 9 |\n| Train | 23 |  |  | Fence | 8 |\n| Misc | 22 |  |  | Wall | 7 |\n|  |  |  |  | Tree | 6 |\n|  |  |  |  | VegetationMisc | 5 |\n|  |  |  |  | Void | 4 |",0]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |","| intratuple | 512 | 1600 | 467 |\n| --- | --- | --- | --- |\n| intertuple | 261632 | 158400 | 624 |\n| items/tuples | 4 | 5 | 4 |",1]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |","| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |\n| intratuples | 512 | 1600 | 467 |\n| intertuples | 261632 | 158400 | 624 |\n| items/tuples | 4 | 5 | 4 |",0]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |","| intratuple | 512 | 1600 | 467 |\n| --- | --- | --- | --- |\n| intertuple | 261632 | 158400 | 624 |\n| items/tuples | 4 | 5 | 4 |",1]
["| Nbof | BSSR1 | PRIVATE | BANCA |\n| --- | --- | --- | --- |\n| users | 512 | 100 | 208 |","| intertuples | 261632 | 158400 | 624 |\n| --- | --- | --- | --- |\n| items/tuples | 4 | 5 | 4 |",0]
["| Benchmark | GNUGCC | VanillaNaCl | CBINaCl |\n| --- | --- | --- | --- |\n| 164.gzip | 97,816 | 244,205 | 243,889 |\n| 175.vpr | 254,574 | 622,047 | 621,683 |\n| 176.gcc | 2,030,316 | 5,598,520 | 5,598,512 |\n| 181.mcf | 29,405 | 92,248 | 92,464 |\n| 186.crafty | 333,524 | 699,416 | 699,176 |\n| 197.parser | 276,651 | 784,118 | 782,806 |","| 252.eon | 575,211 | 4,840,324 | 4,844,416 |\n| --- | --- | --- | --- |\n| 253.perlbmk | 829,860 | 2,444,380 | 2,441,480 |\n| 254.gap | 956,543 | 2,273,206 | 2,268,190 |\n| 255.vortex | 754,974 | 2,070,729 | 2,067,929 |\n| 256.bzip2 | 96,640 | 207,686 | 206,438 |\n| 300.twolf | 415,700 | 1,056,335 | 1,055,975 |",1]
["| Benchmark | GNUGCC | VanillaNaCl | CBINaCl |\n| --- | --- | --- | --- |\n| 164.gzip | 97,816 | 244,205 | 243,889 |\n| 175.vpr | 254,574 | 622,047 | 621,683 |\n| 176.gcc | 2,030,316 | 5,598,520 | 5,598,512 |\n| 181.mcf | 29,405 | 92,248 | 92,464 |\n| 186.crafty | 333,524 | 699,416 | 699,176 |\n| 197.parser | 276,651 | 784,118 | 782,806 |","|  | Bigram/Trigram | PCFG15 | PCFG20 | L1R2 | L2R1 | L2R2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Numberofparameters | 1088/34880 | 3855 | 8640 | 6402 | 6402 | 8514 |\n| Iterationstoconvergence | – | 45 | 45 | 19 | 17 | 24 |\n| Real-timeconvergence(min) | – | 62 | 142 | 8 | 7 | 14 |\n| H(T,Grammar) | 2.88/2.71 | 3.81 | 3.42 | 2.87 | 2.85 | 2.78 |\n| Crossingbracket(onT) | 66.78 | 93.46 | 93.41 | 93.07 | 93.28 | 94.51 |",0]
["| Benchmark | GNUGCC | VanillaNaCl | CBINaCl |\n| --- | --- | --- | --- |\n| 164.gzip | 97,816 | 244,205 | 243,889 |\n| 175.vpr | 254,574 | 622,047 | 621,683 |\n| 176.gcc | 2,030,316 | 5,598,520 | 5,598,512 |\n| 181.mcf | 29,405 | 92,248 | 92,464 |\n| 186.crafty | 333,524 | 699,416 | 699,176 |\n| 197.parser | 276,651 | 784,118 | 782,806 |\n| 252.eon | 575,211 | 4,840,324 | 4,844,416 |","| 253.perlbmk | 829,860 | 2,444,380 | 2,441,480 |\n| --- | --- | --- | --- |\n| 254.gap | 956,543 | 2,273,206 | 2,268,190 |\n| 255.vortex | 754,974 | 2,070,729 | 2,067,929 |\n| 256.bzip2 | 96,640 | 207,686 | 206,438 |\n| 300.twolf | 415,700 | 1,056,335 | 1,055,975 |",1]
["| Benchmark | GNUGCC | VanillaNaCl | CBINaCl |\n| --- | --- | --- | --- |\n| 164.gzip | 97,816 | 244,205 | 243,889 |\n| 175.vpr | 254,574 | 622,047 | 621,683 |\n| 176.gcc | 2,030,316 | 5,598,520 | 5,598,512 |\n| 181.mcf | 29,405 | 92,248 | 92,464 |\n| 186.crafty | 333,524 | 699,416 | 699,176 |\n| 197.parser | 276,651 | 784,118 | 782,806 |\n| 252.eon | 575,211 | 4,840,324 | 4,844,416 |","| H(T,Grammar) | 2.88/2.71 | 3.81 | 3.42 | 2.87 | 2.85 | 2.78 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Crossingbracket(onT) | 66.78 | 93.46 | 93.41 | 93.07 | 93.28 | 94.51 |",0]
["| Datasets | RGB-hist | HOG | RIFT | SIFT | SURF | Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| VideoPose2 | 1.0173 | 1.1166 | 1.1147 | 0.2277 | 1.5360 | 0.1901 |","| PosesintheWild | 1.0527 | 1.1011 | 1.1848 | 0.2365 | 1.5469 | 0.1993 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ICDPose | 1.8711 | 1.6978 | 1.8157 | 0.5040 | 2.7237 | 0.4396 |\n| OutdoorPose | 1.7909 | 1.6121 | 1.7402 | 0.4144 | 2.5802 | 0.3527 |",1]
["| Datasets | RGB-hist | HOG | RIFT | SIFT | SURF | Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| VideoPose2 | 1.0173 | 1.1166 | 1.1147 | 0.2277 | 1.5360 | 0.1901 |","|  | densesampling | keypointsampling |\n| --- | --- | --- |\n| SURF | 84.8485 | 76.431 |\n| RGB+SURF | 86.1953 | 79.1245 |\n| HSV+SURF | 84.1751 | 85.1064 |\n| LAB+SURF | 92.2559 | 84.8484 |\n| YUV+SURF | 85.1852 | 80.4713 |",0]
["| Datasets | RGB-hist | HOG | RIFT | SIFT | SURF | Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| VideoPose2 | 1.0173 | 1.1166 | 1.1147 | 0.2277 | 1.5360 | 0.1901 |","| PosesintheWild | 1.0527 | 1.1011 | 1.1848 | 0.2365 | 1.5469 | 0.1993 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ICDPose | 1.8711 | 1.6978 | 1.8157 | 0.5040 | 2.7237 | 0.4396 |\n| OutdoorPose | 1.7909 | 1.6121 | 1.7402 | 0.4144 | 2.5802 | 0.3527 |",1]
["| Datasets | RGB-hist | HOG | RIFT | SIFT | SURF | Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| VideoPose2 | 1.0173 | 1.1166 | 1.1147 | 0.2277 | 1.5360 | 0.1901 |","| RGB+SURF | 86.1953 | 79.1245 |\n| --- | --- | --- |\n| HSV+SURF | 84.1751 | 85.1064 |\n| LAB+SURF | 92.2559 | 84.8484 |\n| YUV+SURF | 85.1852 | 80.4713 |",0]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 15.1 | 3 | 7 | 31996 |\n| δ-Greedy | 1.5 | 15.1 | 3 | 7 | 82 |\n| δ-Greedy | 1.44 | 16 | 3 | 8 | 77 |","| δ-Greedy | 1.224 | 22.5 | 5 | 11 | 63 |\n| --- | --- | --- | --- | --- | --- |\n| θ-Graph | - | 118.6 | 76 | 53 | - |\n| Greedyonθ-Graph | 1.44 | 16 | 3 | 8 | 817 |\n| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |\n| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |",1]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 15.1 | 3 | 7 | 31996 |\n| δ-Greedy | 1.5 | 15.1 | 3 | 7 | 82 |\n| δ-Greedy | 1.44 | 16 | 3 | 8 | 77 |","| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 11.4 | 2 | 5 | 31996 |\n| δ-Greedy | 2 | 11.4 | 2 | 5 | 55 |\n| δ-Greedy | 1.866 | 11.9 | 2 | 5 | 52 |\n| δ-Greedy | 1.414 | 16.3 | 3 | 8 | 44 |\n| θ-Graph | - | 85.3 | 48 | 42 | - |\n| Greedyonθ-Graph | 1.866 | 11.9 | 3 | 6 | 493 |\n| Greedyonθ-Graph | 1.414 | 16.5 | 3 | 8 | 129 |\n| Gap-Greedy | - | 16 | 3 | 8 | 63 |",0]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 15.1 | 3 | 7 | 31996 |\n| δ-Greedy | 1.5 | 15.1 | 3 | 7 | 82 |\n| δ-Greedy | 1.44 | 16 | 3 | 8 | 77 |","| δ-Greedy | 1.224 | 22.5 | 5 | 11 | 63 |\n| --- | --- | --- | --- | --- | --- |\n| θ-Graph | - | 118.6 | 76 | 53 | - |\n| Greedyonθ-Graph | 1.44 | 16 | 3 | 8 | 817 |\n| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |\n| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |",1]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 15.1 | 3 | 7 | 31996 |\n| δ-Greedy | 1.5 | 15.1 | 3 | 7 | 82 |\n| δ-Greedy | 1.44 | 16 | 3 | 8 | 77 |","| Greedyonθ-Graph | 1.414 | 16.5 | 3 | 8 | 129 |\n| --- | --- | --- | --- | --- | --- |\n| Gap-Greedy | - | 16 | 3 | 8 | 63 |",0]
["| Newtwork | Accelerator | Inference | Car | Ped. | Cyc. |\n| --- | --- | --- | --- | --- | --- |\n| F-PointNet | GTX1080 | 88ms | 70.39 | 44.89 | 56.77 |\n| VoxelNet(Lidar) | TitanX | 30ms | 65.11 | 33.69 | 48.36 |\n| AVOD | TitanXp | 80ms | 65.78 | 31.51 | 44.90 |\n| MV3D | TitanX | 360ms | 63.35 | N/A | N/A |","| MV3D(Lidar) | TitanX | 240ms | 52.73 | N/A | N/A |\n| --- | --- | --- | --- | --- | --- |\n| DoBEM | TitanX | 600ms | 6.95 | N/A | N/A |\n| 3D-SSMFCNN | TitanX | 100ms | 2.28 | N/A | N/A |\n| Proposed | GTX1080 | 20ms | 15.24 | 11.46 | 3.23 |",1]
["| Newtwork | Accelerator | Inference | Car | Ped. | Cyc. |\n| --- | --- | --- | --- | --- | --- |\n| F-PointNet | GTX1080 | 88ms | 70.39 | 44.89 | 56.77 |\n| VoxelNet(Lidar) | TitanX | 30ms | 65.11 | 33.69 | 48.36 |\n| AVOD | TitanXp | 80ms | 65.78 | 31.51 | 44.90 |\n| MV3D | TitanX | 360ms | 63.35 | N/A | N/A |","| Network | InputData | Class | Code | Inference |\n| --- | --- | --- | --- | --- |\n| F-pointNet | ImageandLidar | multi | Yes | 170ms |\n| VoxelNet | Lidar | multi | N/A | 30ms |\n| AVOD | ImageandLidar | multi | Yes | 80ms |\n| MV3D | ImageandLidar | car | Yes | 350ms |\n| DoBEM | ImageandLidar | car | N/A | 600ms |\n| 3D-SSMFCNN | Image | car | Yes | 100ms |",0]
["| Newtwork | Accelerator | Inference | Car | Ped. | Cyc. |\n| --- | --- | --- | --- | --- | --- |\n| F-PointNet | GTX1080 | 88ms | 70.39 | 44.89 | 56.77 |\n| VoxelNet(Lidar) | TitanX | 30ms | 65.11 | 33.69 | 48.36 |\n| AVOD | TitanXp | 80ms | 65.78 | 31.51 | 44.90 |\n| MV3D | TitanX | 360ms | 63.35 | N/A | N/A |","| MV3D(Lidar) | TitanX | 240ms | 52.73 | N/A | N/A |\n| --- | --- | --- | --- | --- | --- |\n| DoBEM | TitanX | 600ms | 6.95 | N/A | N/A |\n| 3D-SSMFCNN | TitanX | 100ms | 2.28 | N/A | N/A |\n| Proposed | GTX1080 | 20ms | 15.24 | 11.46 | 3.23 |",1]
["| Newtwork | Accelerator | Inference | Car | Ped. | Cyc. |\n| --- | --- | --- | --- | --- | --- |\n| F-PointNet | GTX1080 | 88ms | 70.39 | 44.89 | 56.77 |\n| VoxelNet(Lidar) | TitanX | 30ms | 65.11 | 33.69 | 48.36 |\n| AVOD | TitanXp | 80ms | 65.78 | 31.51 | 44.90 |\n| MV3D | TitanX | 360ms | 63.35 | N/A | N/A |","| VoxelNet | Lidar | multi | N/A | 30ms |\n| --- | --- | --- | --- | --- |\n| AVOD | ImageandLidar | multi | Yes | 80ms |\n| MV3D | ImageandLidar | car | Yes | 350ms |\n| DoBEM | ImageandLidar | car | N/A | 600ms |\n| 3D-SSMFCNN | Image | car | Yes | 100ms |",0]
["| Operation | PAPdetector |\n| --- | --- |\n| All-to-all | UsesSTAR-MPIoveralleﬃciencyindicators |","| Broadcast | UsesitsownmessagingforPATsignaling |\n| --- | --- |\n| Localredirect | UsesitsownmessagingforPATsignaling |\n| Clairvoyant | None,suggestedusageofthestaticanalysisor<br>SMA |",1]
["| Operation | PAPdetector |\n| --- | --- |\n| All-to-all | UsesSTAR-MPIoveralleﬃciencyindicators |","| Step | Description | Time | Messages |\n| --- | --- | --- | --- |\n| ??,?? | BFSconvergecast | O(D) | O(m) |\n| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |\n| ??,?? | Localcomputation | 0 | none |\n| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |\n| ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |\n| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) |",0]
["| Operation | PAPdetector |\n| --- | --- |\n| All-to-all | UsesSTAR-MPIoveralleﬃciencyindicators |\n| Broadcast | UsesitsownmessagingforPATsignaling |","| Localredirect | UsesitsownmessagingforPATsignaling |\n| --- | --- |\n| Clairvoyant | None,suggestedusageofthestaticanalysisor<br>SMA |",1]
["| Operation | PAPdetector |\n| --- | --- |\n| All-to-all | UsesSTAR-MPIoveralleﬃciencyindicators |\n| Broadcast | UsesitsownmessagingforPATsignaling |","| ??,?? | Localcomputation | 0 | none |\n| --- | --- | --- | --- |\n| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |\n| ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |\n| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) |",0]
["| SIG | Conference | Period | H-Index | Authors | Publications | Editions |\n| --- | --- | --- | --- | --- | --- | --- |\n| SIGDOC | SIGDOC | 1989-2010 | 23 | 1071 | 810 | 22 |\n| SIGCHI | CHI | 1994-2012 | 144 | 5095 | 2819 | 19 |\n| SIGIR | SIGIR | 1978-2011 | 116 | 3624 | 2687 | 34 |\n| SIGKDD | KDD | 1995-2011 | 124 | 3078 | 1699 | 17 |\n| SIGCOMM | SIGCOMM | 1988-2011 | 140 | 1593 | 796 | 24 |\n| SIGCSE | SIGCSE | 1986-2012 | 51 | 3923 | 2801 | 27 |\n| SIGGRAPH | SIGGRAPH | 1985-2003 | 119 | 1920 | 1108 | 19 |\n| SIGMETRICS | SIGMETRICS | 1981-2011 | 71 | 2083 | 1174 | 31 |","| SIGPLAN | POPL | 1975-2012 | 85 | 1527 | 1217 | 38 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SIGMOD | SIGMOD | 1975-2012 | 147 | 4202 | 2669 | 38 |",1]
["| SIG | Conference | Period | H-Index | Authors | Publications | Editions |\n| --- | --- | --- | --- | --- | --- | --- |\n| SIGDOC | SIGDOC | 1989-2010 | 23 | 1071 | 810 | 22 |\n| SIGCHI | CHI | 1994-2012 | 144 | 5095 | 2819 | 19 |\n| SIGIR | SIGIR | 1978-2011 | 116 | 3624 | 2687 | 34 |\n| SIGKDD | KDD | 1995-2011 | 124 | 3078 | 1699 | 17 |\n| SIGCOMM | SIGCOMM | 1988-2011 | 140 | 1593 | 796 | 24 |\n| SIGCSE | SIGCSE | 1986-2012 | 51 | 3923 | 2801 | 27 |\n| SIGGRAPH | SIGGRAPH | 1985-2003 | 119 | 1920 | 1108 | 19 |\n| SIGMETRICS | SIGMETRICS | 1981-2011 | 71 | 2083 | 1174 | 31 |","| Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |\n| --- | --- | --- | --- | --- | --- | --- |\n| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |\n| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |\n| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |\n|  | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |\n| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |\n| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |\n| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |\n| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |\n| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",0]
["| SIG | Conference | Period | H-Index | Authors | Publications | Editions |\n| --- | --- | --- | --- | --- | --- | --- |\n| SIGDOC | SIGDOC | 1989-2010 | 23 | 1071 | 810 | 22 |\n| SIGCHI | CHI | 1994-2012 | 144 | 5095 | 2819 | 19 |\n| SIGIR | SIGIR | 1978-2011 | 116 | 3624 | 2687 | 34 |\n| SIGKDD | KDD | 1995-2011 | 124 | 3078 | 1699 | 17 |\n| SIGCOMM | SIGCOMM | 1988-2011 | 140 | 1593 | 796 | 24 |\n| SIGCSE | SIGCSE | 1986-2012 | 51 | 3923 | 2801 | 27 |","| SIGGRAPH | SIGGRAPH | 1985-2003 | 119 | 1920 | 1108 | 19 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SIGMETRICS | SIGMETRICS | 1981-2011 | 71 | 2083 | 1174 | 31 |\n| SIGPLAN | POPL | 1975-2012 | 85 | 1527 | 1217 | 38 |\n| SIGMOD | SIGMOD | 1975-2012 | 147 | 4202 | 2669 | 38 |",1]
["| SIG | Conference | Period | H-Index | Authors | Publications | Editions |\n| --- | --- | --- | --- | --- | --- | --- |\n| SIGDOC | SIGDOC | 1989-2010 | 23 | 1071 | 810 | 22 |\n| SIGCHI | CHI | 1994-2012 | 144 | 5095 | 2819 | 19 |\n| SIGIR | SIGIR | 1978-2011 | 116 | 3624 | 2687 | 34 |\n| SIGKDD | KDD | 1995-2011 | 124 | 3078 | 1699 | 17 |\n| SIGCOMM | SIGCOMM | 1988-2011 | 140 | 1593 | 796 | 24 |\n| SIGCSE | SIGCSE | 1986-2012 | 51 | 3923 | 2801 | 27 |","| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |\n| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",0]
["| Word | NeighboringWordsin |  |\n| --- | --- | --- |\n| 1900 | 2009 |  |\n| gay | cheerful<br>pleasant<br>brilliant | lesbian<br>bisexual<br>lesbians |\n| cell | closet<br>dungeon<br>tent | phone<br>cordless<br>cellular |\n| checked | checking<br>recollecting<br>straightened | checking<br>consulted<br>check |","| headed | haired<br>faced<br>skinned | heading<br>sprinted<br>marched |\n| --- | --- | --- |\n| actually | evidently<br>accidentally<br>already | really<br>obviously<br>nonetheless |",1]
["| Word | NeighboringWordsin |  |\n| --- | --- | --- |\n| 1900 | 2009 |  |\n| gay | cheerful<br>pleasant<br>brilliant | lesbian<br>bisexual<br>lesbians |\n| cell | closet<br>dungeon<br>tent | phone<br>cordless<br>cellular |\n| checked | checking<br>recollecting<br>straightened | checking<br>consulted<br>check |","| Model | FrequentWords | RareWords |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| man | including | relatively | unconditional | hydroplane | uploading |  |\n| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |\n| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |\n| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",0]
["| Word | NeighboringWordsin |\n| --- | --- |\n| 1900 | 2009 |","| gay | cheerful<br>pleasant<br>brilliant | lesbian<br>bisexual<br>lesbians |\n| --- | --- | --- |\n| cell | closet<br>dungeon<br>tent | phone<br>cordless<br>cellular |\n| checked | checking<br>recollecting<br>straightened | checking<br>consulted<br>check |\n| headed | haired<br>faced<br>skinned | heading<br>sprinted<br>marched |\n| actually | evidently<br>accidentally<br>already | really<br>obviously<br>nonetheless |",1]
["| Word | NeighboringWordsin |\n| --- | --- |\n| 1900 | 2009 |","| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |\n| --- | --- | --- | --- | --- | --- | --- |\n| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",0]
["|  | IRS | CRS | DRS |\n| --- | --- | --- | --- |\n| NewServer | 81.9 | 66.21 | 62.19 |\n| Powerandcooling | 12.48 | 31.43 | 35.72 |","| Interaction | 3.05 | .35 | 0.000013 |\n| --- | --- | --- | --- |\n| Error | 2.55 | 1.99 | 2.02 |",1]
["|  | IRS | CRS | DRS |\n| --- | --- | --- | --- |\n| NewServer | 81.9 | 66.21 | 62.19 |\n| Powerandcooling | 12.48 | 31.43 | 35.72 |","| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 42.0713 |\n| 44 | 25 | 28.4811 |\n| 62 | 12 | 34.8202 |\n| 59 | 37 | 37.4543 |\n| 49 | 10 | 28.3241 |\n| 54 | 20 | 32.8109 |\n| 59 | 18 | 34.8505 |\n| 78 | 25 | 45.0267 |\n| 73 | 25 | 42.7024 |\n| 49 | 10 | 28.3241 |\n| 75 | 21 | 42.8816 |\n| 61 | 19 | 35.9865 |\n| 57 | 28 | 35.4336 |\n| 61 | 34 | 38.1427 |\n| 56 | 34 | 35.6204 |\n| 56 | 11 | 31.8192 |\n| 66 | 12 | 38.8935 |",0]
["|  | IRS | CRS | DRS |\n| --- | --- | --- | --- |\n| NewServer | 81.9 | 66.21 | 62.19 |","| Powerandcooling | 12.48 | 31.43 | 35.72 |\n| --- | --- | --- | --- |\n| Interaction | 3.05 | .35 | 0.000013 |\n| Error | 2.55 | 1.99 | 2.02 |",1]
["|  | IRS | CRS | DRS |\n| --- | --- | --- | --- |\n| NewServer | 81.9 | 66.21 | 62.19 |","| 49 | 10 | 28.3241 |\n| --- | --- | --- |\n| 54 | 20 | 32.8109 |\n| 59 | 18 | 34.8505 |\n| 78 | 25 | 45.0267 |\n| 73 | 25 | 42.7024 |\n| 49 | 10 | 28.3241 |\n| 75 | 21 | 42.8816 |\n| 61 | 19 | 35.9865 |\n| 57 | 28 | 35.4336 |\n| 61 | 34 | 38.1427 |\n| 56 | 34 | 35.6204 |\n| 56 | 11 | 31.8192 |\n| 66 | 12 | 38.8935 |",0]
["| Error-freeAND |  |  |\n| --- | --- | --- |\n| P(X1=1\\|I1,I2) | P(I2=0)=1 | P(I2=1)=1 |\n| P(I1=0)=1 | 0 | 0 |\n| P(I1=1)=1 | 0 | 1 |\n| Error-proneAND |  |  |\n| P(X4=1\\|I1,I2) | P(I2=0)=1 | P(I2=1)=1 |","| P(I1=0)=1 | ε | ε |\n| --- | --- | --- |\n| P(I1=1)=1 | ε | 1-ε |",1]
["| Error-freeAND |  |  |\n| --- | --- | --- |\n| P(X1=1\\|I1,I2) | P(I2=0)=1 | P(I2=1)=1 |\n| P(I1=0)=1 | 0 | 0 |\n| P(I1=1)=1 | 0 | 1 |\n| Error-proneAND |  |  |\n| P(X4=1\\|I1,I2) | P(I2=0)=1 | P(I2=1)=1 |","|  | P(a,a) | P(a,b) | P(a,c) | P(b,a) | P(b,b) | P(b,c) | P(c,a) | P(c,b) | P(x,x) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |\n| 3 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |\n| 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |\n| 5 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |",0]
["| Error-freeAND |  |  |\n| --- | --- | --- |\n| P(X1=1\\|I1,I2) | P(I2=0)=1 | P(I2=1)=1 |\n| P(I1=0)=1 | 0 | 0 |\n| P(I1=1)=1 | 0 | 1 |","| Error-proneAND |  |  |\n| --- | --- | --- |\n| P(X4=1\\|I1,I2) | P(I2=0)=1 | P(I2=1)=1 |\n| P(I1=0)=1 | ε | ε |\n| P(I1=1)=1 | ε | 1-ε |",1]
["| Error-freeAND |  |  |\n| --- | --- | --- |\n| P(X1=1\\|I1,I2) | P(I2=0)=1 | P(I2=1)=1 |\n| P(I1=0)=1 | 0 | 0 |\n| P(I1=1)=1 | 0 | 1 |","| 3 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |\n| 5 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |",0]
["| averagetime<br>/iter./generator(s) |\n| --- |\n| 0.0147 |","| 0.0424 |\n| --- |\n| 0.2168 |\n| 0.6825 |\n| 1.5487 |",1]
["| averagetime<br>/iter./generator(s) |\n| --- |\n| 0.0147 |","| averagetime<br>/iter./customer(s) |\n| --- |\n| 0.0097 |\n| 0.0100 |\n| 0.0101 |\n| 0.0104 |\n| 0.0110 |",0]
["| averagetime<br>/iter./generator(s) |\n| --- |\n| 0.0147 |","| 0.0424 |\n| --- |\n| 0.2168 |\n| 0.6825 |\n| 1.5487 |",1]
["| averagetime<br>/iter./generator(s) |\n| --- |\n| 0.0147 |","| 0.0101 |\n| --- |\n| 0.0104 |\n| 0.0110 |",0]
["| Pretraining | HMDB51Acc. |  |\n| --- | --- | --- |\n| Ours | Authors | Ours |","| Sports-1M | 48.24 | 50.30* | 93.66 |\n| --- | --- | --- | --- |\n| Kinetics | –.– | 74.80* | –.– |\n| ImageNet | 51.70 | 54.40 | 85.25 |\n| ImageNet | 43.86 | 43.90 | 80.20 |",1]
["| Pretraining | HMDB51Acc. |  |\n| --- | --- | --- |\n| Ours | Authors | Ours |","| Model | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| Two-Stream | 88.0 | 59.4 |\n| IDT | 86.4 | 61.7 |\n| DynamicImageNetworks+IDT | 89.1 | 65.2 |\n| TDD+IDT | 91.5 | 65.9 |\n| Two-StreamFusion+IDT | 93.5 | 69.2 |\n| TemporalSegmentNetworks | 94.2 | 69.4 |\n| ST-ResNet+IDT | 94.6 | 70.3 |\n| DeepNetworks,Sports1Mpre-training | 65.2 | - |\n| C3Donenetwork,Sports1Mpre-training | 82.3 | - |\n| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",0]
["| Pretraining | HMDB51Acc. |  |  |\n| --- | --- | --- | --- |\n| Ours | Authors | Ours |  |\n| Sports-1M | 48.24 | 50.30* | 93.66 |","| Kinetics | –.– | 74.80* | –.– |\n| --- | --- | --- | --- |\n| ImageNet | 51.70 | 54.40 | 85.25 |\n| ImageNet | 43.86 | 43.90 | 80.20 |",1]
["| Pretraining | HMDB51Acc. |  |  |\n| --- | --- | --- | --- |\n| Ours | Authors | Ours |  |\n| Sports-1M | 48.24 | 50.30* | 93.66 |","| DeepNetworks,Sports1Mpre-training | 65.2 | - |\n| --- | --- | --- |\n| C3Donenetwork,Sports1Mpre-training | 82.3 | - |\n| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",0]
["| Segmentation | 1/2 | 2/3 | 3/4 |\n| --- | --- | --- | --- |\n| AAL | 0.8448 | 0.8886 | 0.9179 |\n| R90 | 0.8402 | 0.8838 | 0.9475 |","| R1000 | 0.8714 | 0.8787 | 0.8495 |\n| --- | --- | --- | --- |\n| R2000 | 0.7997 | 0.8556 | 0.8697 |\n| Grid | 0.8700 | 0.8960 | 0.8709 |\n| S40 | 0.8520 | 0.8813 | 0.9124 |",1]
["| Segmentation | 1/2 | 2/3 | 3/4 |\n| --- | --- | --- | --- |\n| AAL | 0.8448 | 0.8886 | 0.9179 |\n| R90 | 0.8402 | 0.8838 | 0.9475 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| Segmentation | 1/2 | 2/3 | 3/4 |\n| --- | --- | --- | --- |\n| AAL | 0.8448 | 0.8886 | 0.9179 |\n| R90 | 0.8402 | 0.8838 | 0.9475 |\n| R1000 | 0.8714 | 0.8787 | 0.8495 |\n| R2000 | 0.7997 | 0.8556 | 0.8697 |","| Grid | 0.8700 | 0.8960 | 0.8709 |\n| --- | --- | --- | --- |\n| S40 | 0.8520 | 0.8813 | 0.9124 |",1]
["| Segmentation | 1/2 | 2/3 | 3/4 |\n| --- | --- | --- | --- |\n| AAL | 0.8448 | 0.8886 | 0.9179 |\n| R90 | 0.8402 | 0.8838 | 0.9475 |\n| R1000 | 0.8714 | 0.8787 | 0.8495 |\n| R2000 | 0.7997 | 0.8556 | 0.8697 |","| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| #Parameters | MaxMin-CNN | Simple-CNN |\n| --- | --- | --- |\n| ≈30K | 73.81 | 69.98 |\n| ≈15K | 78.13 | 74.44 |\n| ≈60K | 80.03 | 77.01 |\n| ≈2M | 81.68 | 78.11 |\n| ≈5M | 82.07 | 79.48 |","| ≈15M | 82.69 | 80.13 |\n| --- | --- | --- |\n| ≈45M | 82.98 | 80.41 |",1]
["| #Parameters | MaxMin-CNN | Simple-CNN |\n| --- | --- | --- |\n| ≈30K | 73.81 | 69.98 |\n| ≈15K | 78.13 | 74.44 |\n| ≈60K | 80.03 | 77.01 |\n| ≈2M | 81.68 | 78.11 |\n| ≈5M | 82.07 | 79.48 |","| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| #Parameters | MaxMin-CNN | Simple-CNN |\n| --- | --- | --- |\n| ≈30K | 73.81 | 69.98 |","| ≈15K | 78.13 | 74.44 |\n| --- | --- | --- |\n| ≈60K | 80.03 | 77.01 |\n| ≈2M | 81.68 | 78.11 |\n| ≈5M | 82.07 | 79.48 |\n| ≈15M | 82.69 | 80.13 |\n| ≈45M | 82.98 | 80.41 |",1]
["| #Parameters | MaxMin-CNN | Simple-CNN |\n| --- | --- | --- |\n| ≈30K | 73.81 | 69.98 |","| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| --- | --- | --- | --- |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 0 | 0 | 0 | 272 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 0 | 0 | 0 | 272 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 0 | 0 | 0 | 272 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 0 | 0 | 0 | 272 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| Numberoftransaction | (runtimeinminute) |\n| --- | --- |\n| 100K | 27.4 |\n| 250K | 69.1 |","| 750K | 86.1 |\n| --- | --- |\n| 1000K | 98.7 |",1]
["| Numberoftransaction | (runtimeinminute) |\n| --- | --- |\n| 100K | 27.4 |\n| 250K | 69.1 |","| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |\n| 800 | 3200 | 12800 |\n| 1568 | 6272 | 25088 |",0]
["| Numberoftransaction | (runtimeinminute) |\n| --- | --- |\n| 100K | 27.4 |","| 250K | 69.1 |\n| --- | --- |\n| 750K | 86.1 |\n| 1000K | 98.7 |",1]
["| Numberoftransaction | (runtimeinminute) |\n| --- | --- |\n| 100K | 27.4 |","| 800 | 3200 | 12800 |\n| --- | --- | --- |\n| 1568 | 6272 | 25088 |",0]
["|  | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |\n| --- | --- | --- | --- | --- |\n| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |\n| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |\n| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |\n| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 |","| φ:1.6 | 15.8±9.38 | 6.63±3.68 | 23.7±10.6 | 10.8±5.23 |\n| --- | --- | --- | --- | --- |\n| φ:2.4 | 22.7±14.7 | 13.2±7.06 | 31.2±11.6 | 14.9±5.26 |\n| θ:−1.6 | 55.6±26 | 37.1±20.8 | 119±43.3 | 59.8±29.5 |\n| θ:−0.79 | 105±44.9 | 37.9±20.9 | 104±37.3 | 61.8±22.4 |\n| θ:0 | 44.1±44 | 11.6±9.75 | 39.2±22.1 | 23.3±9.82 |\n| θ:0.79 | 35.9±23.2 | 15.8±11.1 | 24.7±12.3 | 15.3±4.76 |\n| θ:1.6 | 31.9±18.4 | 15.6±9.5 | 55±23.1 | 30.2±25.9 |\n| θ:2.4 | 17.2±14.8 | 10.8±7.38 | 83.6±56 | 24.3±23.9 |\n| θ:3.1 | 24.5±19.6 | 12.6±6.88 | 92.7±68.1 | 11.9±8.72 |\n| θ:3.9 | 26.1±17.1 | 8±5.67 | 61.5±42.7 | 18.6±11.1 |",1]
["|  | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |\n| --- | --- | --- | --- | --- |\n| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |\n| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |\n| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |\n| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 |","| \\|A\\| |  |  |  |\n| --- | --- | --- | --- |\n| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |\n| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |\n| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |\n| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 |\n| 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 |\n| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |\n| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |\n| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |\n| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |\n| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |",0]
["|  | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |\n| --- | --- | --- | --- | --- |\n| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |\n| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |\n| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |\n| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 |\n| φ:1.6 | 15.8±9.38 | 6.63±3.68 | 23.7±10.6 | 10.8±5.23 |\n| φ:2.4 | 22.7±14.7 | 13.2±7.06 | 31.2±11.6 | 14.9±5.26 |","| θ:−1.6 | 55.6±26 | 37.1±20.8 | 119±43.3 | 59.8±29.5 |\n| --- | --- | --- | --- | --- |\n| θ:−0.79 | 105±44.9 | 37.9±20.9 | 104±37.3 | 61.8±22.4 |\n| θ:0 | 44.1±44 | 11.6±9.75 | 39.2±22.1 | 23.3±9.82 |\n| θ:0.79 | 35.9±23.2 | 15.8±11.1 | 24.7±12.3 | 15.3±4.76 |\n| θ:1.6 | 31.9±18.4 | 15.6±9.5 | 55±23.1 | 30.2±25.9 |\n| θ:2.4 | 17.2±14.8 | 10.8±7.38 | 83.6±56 | 24.3±23.9 |\n| θ:3.1 | 24.5±19.6 | 12.6±6.88 | 92.7±68.1 | 11.9±8.72 |\n| θ:3.9 | 26.1±17.1 | 8±5.67 | 61.5±42.7 | 18.6±11.1 |",1]
["|  | GP-SSL0 | GP-SSLmin | Human0 | Humanmin |\n| --- | --- | --- | --- | --- |\n| φ:−2.4 | 23.1±15.8 | 12.6±9.01 | 42.5±35.6 | 16.4±7.43 |\n| φ:−1.6 | 19.9±12.1 | 10.4±7.49 | 34±14.4 | 5.98±7.17 |\n| φ:−0.79 | 24.6±16.7 | 7.45±4.88 | 56.7±17.5 | 28.8±14 |\n| φ:0.79 | 22±16.2 | 7.87±5.12 | 48.7±18 | 21.5±13.6 |\n| φ:1.6 | 15.8±9.38 | 6.63±3.68 | 23.7±10.6 | 10.8±5.23 |\n| φ:2.4 | 22.7±14.7 | 13.2±7.06 | 31.2±11.6 | 14.9±5.26 |","| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |\n| --- | --- | --- | --- |\n| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |",0]
["| Rank | PageRank | AuthorRank |\n| --- | --- | --- |\n| 1 | EdwardA.Fox | HsinchunChen |\n| 2 | HsinchunChen | EdwardA.Fox |\n| 3 | CarlLagoze | IanH.Witten |\n| 4 | JudithKlavans | GaryMarchionini |\n| 5 | RichardFuruta | HectorGarcia-Molina |\n| 6 | GaryMarchionini | CarlLagoze |\n| 7 | MichaelG.Christel | AlexanderG.Hauptmann |\n| 8 | TerenceR.Smith | JudithKlavans |\n| 9 | TamaraSumner | RichardFuruta |\n| 10 | IanH.Witten | TerenceR.Smith |","| 11 | AlexanderG.Hauptmann | TamaraSumner |\n| --- | --- | --- |\n| 12 | HectorGarcia-Molina | Ee-PengLim |\n| 13 | JavedMostafa | MichaelG.Christel |\n| 14 | AlexaT.McCray | MichaelL.Nelson |\n| 15 | Ee-PengLim | WeeKeongNg |\n| 16 | DavidBainbridge | JavedMostafa |\n| 17 | SallyJoCunningham | DavidBainbridge |\n| 18 | LuisGravano | J.AlfredoS´anchez |\n| 19 | CatherineC.Marshall | AlexaT.McCray |\n| 20 | W.BruceCroft | AndreasPaepcke |",1]
["| Rank | PageRank | AuthorRank |\n| --- | --- | --- |\n| 1 | EdwardA.Fox | HsinchunChen |\n| 2 | HsinchunChen | EdwardA.Fox |\n| 3 | CarlLagoze | IanH.Witten |\n| 4 | JudithKlavans | GaryMarchionini |\n| 5 | RichardFuruta | HectorGarcia-Molina |\n| 6 | GaryMarchionini | CarlLagoze |\n| 7 | MichaelG.Christel | AlexanderG.Hauptmann |\n| 8 | TerenceR.Smith | JudithKlavans |\n| 9 | TamaraSumner | RichardFuruta |\n| 10 | IanH.Witten | TerenceR.Smith |","| Rank | Numberofparticipants | Topic |\n| --- | --- | --- |\n| 1 | 4,35M | humor |\n| 2 | 4,10M | humor |\n| 3 | 3,76M | movies |\n| 4 | 3,69M | humor |\n| 5 | 3,59M | humor |\n| 6 | 3,58M | facts |\n| 7 | 3,36M | cookery |\n| 8 | 3,31M | humor |\n| 9 | 3,14M | humor |\n| 10 | 3,14M | movies |\n| 100 | 1,65M | successstories |",0]
["| Rank | PageRank | AuthorRank |\n| --- | --- | --- |\n| 1 | EdwardA.Fox | HsinchunChen |\n| 2 | HsinchunChen | EdwardA.Fox |\n| 3 | CarlLagoze | IanH.Witten |\n| 4 | JudithKlavans | GaryMarchionini |\n| 5 | RichardFuruta | HectorGarcia-Molina |\n| 6 | GaryMarchionini | CarlLagoze |\n| 7 | MichaelG.Christel | AlexanderG.Hauptmann |","| 8 | TerenceR.Smith | JudithKlavans |\n| --- | --- | --- |\n| 9 | TamaraSumner | RichardFuruta |\n| 10 | IanH.Witten | TerenceR.Smith |\n| 11 | AlexanderG.Hauptmann | TamaraSumner |\n| 12 | HectorGarcia-Molina | Ee-PengLim |\n| 13 | JavedMostafa | MichaelG.Christel |\n| 14 | AlexaT.McCray | MichaelL.Nelson |\n| 15 | Ee-PengLim | WeeKeongNg |\n| 16 | DavidBainbridge | JavedMostafa |\n| 17 | SallyJoCunningham | DavidBainbridge |\n| 18 | LuisGravano | J.AlfredoS´anchez |\n| 19 | CatherineC.Marshall | AlexaT.McCray |\n| 20 | W.BruceCroft | AndreasPaepcke |",1]
["| Rank | PageRank | AuthorRank |\n| --- | --- | --- |\n| 1 | EdwardA.Fox | HsinchunChen |\n| 2 | HsinchunChen | EdwardA.Fox |\n| 3 | CarlLagoze | IanH.Witten |\n| 4 | JudithKlavans | GaryMarchionini |\n| 5 | RichardFuruta | HectorGarcia-Molina |\n| 6 | GaryMarchionini | CarlLagoze |\n| 7 | MichaelG.Christel | AlexanderG.Hauptmann |","| 10 | 3,14M | movies |\n| --- | --- | --- |\n| 100 | 1,65M | successstories |",0]
["| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |\n| 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |","| Two-Stream | 12M | 1rgb,10ﬂow | 0.4s | 25rgb,250ﬂow |\n| --- | --- | --- | --- | --- |\n| 3D-Fused | 39M | 5rgb,50ﬂow | 2s | 25rgb,250ﬂow |\n| Two-StreamI3D | 25M | 64rgb,64ﬂow | 2.56s | 250rgb,250ﬂow |",1]
["| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |\n| 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |","| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |\n| (b)Two-Stream | 48M | 1rgb,10ﬂow | 0.4s | 25rgb,250ﬂow |\n| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |",0]
["| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |","| 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |\n| --- | --- | --- | --- | --- |\n| Two-Stream | 12M | 1rgb,10ﬂow | 0.4s | 25rgb,250ﬂow |\n| 3D-Fused | 39M | 5rgb,50ﬂow | 2s | 25rgb,250ﬂow |\n| Two-StreamI3D | 25M | 64rgb,64ﬂow | 2.56s | 250rgb,250ﬂow |",1]
["| Method | #Params | Training |  |  |\n| --- | --- | --- | --- | --- |\n| #InputFrames | TemporalFootprint | #InputFrames |  |  |\n| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |","| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |\n| --- | --- | --- | --- | --- |\n| (b)Two-Stream | 48M | 1rgb,10ﬂow | 0.4s | 25rgb,250ﬂow |\n| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |",0]
["| n | d=g | d=4g | d=16g |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µ | σ | max | µ | σ | max | µ | σ | max |\n| 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |\n| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |\n| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |\n| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |\n| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 |","| 4,096 | 6.82 | 0.46 | 8 | 18.81 | 0.64 | 21 | 68.21 | 3.94 | 86 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16,384 | 7.04 | 0.20 | 8 | 18.95 | 0.46 | 20 | 67.65 | 1.76 | 73 |\n| 65,536 | 7.16 | 0.37 | 8 | 19.06 | 0.34 | 20 | 67.12 | 0.89 | 71 |\n| 262,144 | 7.30 | 0.46 | 8 | 19.09 | 0.29 | 20 | 66.88 | 0.59 | 69 |\n| 1,048,576 | 7.59 | 0.49 | 8 | 19.15 | 0.36 | 20 | 66.70 | 0.50 | 68 |\n| 4,194,304 | 7.92 | 0.27 | 8 | 19.21 | 0.41 | 20 | 66.59 | 0.49 | 67 |\n| 16,777,216 | 8.00 | 0.00 | 8 | 19.41 | 0.49 | 20 | 66.79 | 0.41 | 67 |",1]
["| n | d=g | d=4g | d=16g |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µ | σ | max | µ | σ | max | µ | σ | max |\n| 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |\n| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |\n| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |\n| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |\n| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 |","| n | d=g | d=4g | d=16g |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | A | B | A | B | A | B |\n| 4 | 14.75 | 37 | - | - | - | - |\n| 16 | 20.90 | 54 | 71.40 | 118 | - | - |\n| 64 | 27.35 | 79 | 82.80 | 177 | 317.90 | 442 |\n| 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |\n| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |\n| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |\n| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |\n| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |\n| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |\n| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |\n| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |\n| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 |",0]
["| n | d=g | d=4g | d=16g |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µ | σ | max | µ | σ | max | µ | σ | max |","| 4 | 3.15 | 1.94 | 12 | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 4.43 | 1.03 | 8 | 14.33 | 4.22 | 35 | - | - | - |\n| 64 | 5.39 | 0.79 | 7 | 16.13 | 2.81 | 27 | 56.88 | 4.52 | 82 |\n| 256 | 6.10 | 0.57 | 8 | 18.06 | 1.54 | 23 | 62.58 | 3.86 | 81 |\n| 1,024 | 6.50 | 0.53 | 8 | 18.45 | 0.86 | 20 | 66.26 | 5.16 | 94 |\n| 4,096 | 6.82 | 0.46 | 8 | 18.81 | 0.64 | 21 | 68.21 | 3.94 | 86 |\n| 16,384 | 7.04 | 0.20 | 8 | 18.95 | 0.46 | 20 | 67.65 | 1.76 | 73 |\n| 65,536 | 7.16 | 0.37 | 8 | 19.06 | 0.34 | 20 | 67.12 | 0.89 | 71 |\n| 262,144 | 7.30 | 0.46 | 8 | 19.09 | 0.29 | 20 | 66.88 | 0.59 | 69 |\n| 1,048,576 | 7.59 | 0.49 | 8 | 19.15 | 0.36 | 20 | 66.70 | 0.50 | 68 |\n| 4,194,304 | 7.92 | 0.27 | 8 | 19.21 | 0.41 | 20 | 66.59 | 0.49 | 67 |\n| 16,777,216 | 8.00 | 0.00 | 8 | 19.41 | 0.49 | 20 | 66.79 | 0.41 | 67 |",1]
["| n | d=g | d=4g | d=16g |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µ | σ | max | µ | σ | max | µ | σ | max |","| 256 | 30.10 | 112 | 87.15 | 268 | 322.45 | 669 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1,024 | 32.50 | 153 | 92.60 | 391 | 343.10 | 1,024 |\n| 4,096 | 34.50 | 202 | 94.00 | 546 | 345.60 | 1,507 |\n| 16,384 | 35.20 | 259 | 94.95 | 733 | 339.25 | 2,118 |\n| 65,536 | 35.55 | 324 | 95.15 | 952 | 336.45 | 2,857 |\n| 262,144 | 36.55 | 397 | 95.35 | 1,203 | 334.30 | 3,724 |\n| 1,048,576 | 38.25 | 478 | 95.65 | 1,486 | 333.55 | 4,719 |\n| 4,194,304 | 39.70 | 567 | 96.25 | 1,801 | 333.05 | 5,842 |\n| 16,777,216 | 40.05 | 664 | 97.05 | 2,148 | 333.60 | 7,093 |",0]
["|  | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |\n| --- | --- | --- | --- | --- |\n| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |","| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |\n| --- | --- | --- | --- | --- |\n| Pruning | – | – | 0.57 | 0.56 |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |\n| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",1]
["|  | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |\n| --- | --- | --- | --- | --- |\n| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |","| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 2.95 | 1.84 | 9.81 | 4.79 | 12.75 |\n| A | 3.02 | 0.96 | 8.92 | 3.98 | 11.95 |\n| B | 2.93 | 1.43 | 9.39 | 4.35 | 12.32 |\n| C | 3.15 | 1.56 | 9.53 | 4.72 | 12.68 |\n| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |\n| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |\n| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |\n| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 |",0]
["|  | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |\n| --- | --- | --- | --- | --- |\n| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |\n| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |\n| Pruning | – | – | 0.57 | 0.56 |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |","| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| --- | --- | --- | --- | --- |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",1]
["|  | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |\n| --- | --- | --- | --- | --- |\n| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |\n| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |\n| Pruning | – | – | 0.57 | 0.56 |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |","| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |\n| --- | --- | --- | --- | --- | --- |\n| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |\n| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |\n| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 |",0]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |","| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |\n| --- | --- | --- | --- |\n| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |\n| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 |\n| 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |\n| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 |",1]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |","|  | a | b | r |\n| --- | --- | --- | --- |\n| DhrystoneMean(MIPS) | 2064 | 0.1709 | 0.9946 |\n| DhrystoneVariance | 1.379e6 | 0.3313 | 0.9937 |\n| WhetstoneMean(MIPS) | 1179 | 0.1157 | 0.9981 |\n| WhetstoneVariance | 3.237e5 | 0.1057 | 0.8795 |\n| DiskSpaceMean(GB) | 31.59 | 0.2691 | 0.9955 |\n| DiskSpaceVariance | 2890 | 0.5224 | 0.9954 |",0]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |\n| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |\n| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |\n| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 |","| 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |\n| --- | --- | --- | --- |\n| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 |",1]
["|  | a | b | r |\n| --- | --- | --- | --- |\n| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |\n| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |\n| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |\n| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 |","| WhetstoneMean(MIPS) | 1179 | 0.1157 | 0.9981 |\n| --- | --- | --- | --- |\n| WhetstoneVariance | 3.237e5 | 0.1057 | 0.8795 |\n| DiskSpaceMean(GB) | 31.59 | 0.2691 | 0.9955 |\n| DiskSpaceVariance | 2890 | 0.5224 | 0.9954 |",0]
["| System | P | R | F0.5 |\n| --- | --- | --- | --- |\n| Baseline | 50.56 | 22.68 | 40.58 |\n| Reranking |  |  |  |","| 5-best | 50.32 | 22.99 | 40.65 |\n| --- | --- | --- | --- |\n| 10-best | 50.79 | 22.92 | 40.85 |\n| Editselection |  |  |  |\n| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 |",1]
["| System | P | R | F0.5 |\n| --- | --- | --- | --- |\n| Baseline | 50.56 | 22.68 | 40.58 |\n| Reranking |  |  |  |","| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 57.3<br>68.1 | 80.1<br>88.1 | 88.3<br>94.6 |\n| 43.3<br>67.2 | 63.5<br>86.2 | 76.8<br>92.3 |\n| 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |\n| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 |",0]
["| System | P | R | F0.5 |\n| --- | --- | --- | --- |\n| Baseline | 50.56 | 22.68 | 40.58 |\n| Reranking |  |  |  |\n| 5-best | 50.32 | 22.99 | 40.65 |","| 10-best | 50.79 | 22.92 | 40.85 |\n| --- | --- | --- | --- |\n| Editselection |  |  |  |\n| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 |",1]
["| System | P | R | F0.5 |\n| --- | --- | --- | --- |\n| Baseline | 50.56 | 22.68 | 40.58 |\n| Reranking |  |  |  |\n| 5-best | 50.32 | 22.99 | 40.65 |","| 58.8<br>78.8 | 80.2<br>91.8 | 87.3<br>95.4 |\n| --- | --- | --- |\n| 77.1<br>88.3 | 89.6<br>95.7 | 93.9<br>97.8 |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |\n| D | Aquantitativedatabase,D={T,T,...,T}.12n |\n| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |\n| TID | EachT∈Dhasauniquetransactionidentiﬁer.n |\n| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |\n| sup(X) | ThesupportofanitemsetXinDorQSD. |\n| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |\n| pr(i)j | Thepredeﬁnedunitproﬁtofanitemi.j |\n| u(i,T)jq | TheutilityofanitemiintransactionT.jq |\n| u(X,T)q | TheutilityofanitemsetXintransactionT.q |\n| tu(T)q | ThesumoftheutilitiesofitemsintransactionT.q |\n| minsup | Apredeﬁnedminimumsupportthreshold. |\n| minconf | Apredeﬁnedminimumconﬁdencethreshold. |\n| minutil | Apredeﬁnedminimumhigh-utilitythreshold. |\n| TWU | Thetransaction-weightedutilityofapattern. |\n| TWDC | Thetransaction-weighteddownwardclosureproperty. |\n| HTWUI | Ahightransaction-weightedutilizationitemset. |","| HUI | Ahigh-utilityitemset. |\n| --- | --- |\n| HUPM | High-utilityorutility-orientedpatternmining. |\n| k-itemset | Anitemsetwithknumberofitemsinitself. |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |\n| D | Aquantitativedatabase,D={T,T,...,T}.12n |\n| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |\n| TID | EachT∈Dhasauniquetransactionidentiﬁer.n |\n| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |\n| sup(X) | ThesupportofanitemsetXinDorQSD. |\n| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |\n| pr(i)j | Thepredeﬁnedunitproﬁtofanitemi.j |\n| u(i,T)jq | TheutilityofanitemiintransactionT.jq |\n| u(X,T)q | TheutilityofanitemsetXintransactionT.q |\n| tu(T)q | ThesumoftheutilitiesofitemsintransactionT.q |\n| minsup | Apredeﬁnedminimumsupportthreshold. |\n| minconf | Apredeﬁnedminimumconﬁdencethreshold. |\n| minutil | Apredeﬁnedminimumhigh-utilitythreshold. |\n| TWU | Thetransaction-weightedutilityofapattern. |\n| TWDC | Thetransaction-weighteddownwardclosureproperty. |\n| HTWUI | Ahightransaction-weightedutilizationitemset. |","| Ω | Universeofallvalidentities(unknownsize) |\n| --- | --- |\n| r | Avaliduniqueentityordataitem |\n| D | Groundtruthortheunderlyingpopulation |\n| S | Observedsampleofsizen=\\|S\\|,withduplicates |\n| K | IntegrateddatabasewithonlyuniqueentitiesfromS |\n| U | UnknownunknownsthatexistinD,butnotinSorK |\n| M0 | UnknownunknownsdistributionmassinD |\n| c | ThenumberofuniquedataitemsinS;c=\\|K\\| |\n| sj | Sourcejwithn=\\|s\\|dataitemsjj |\n| N | Thesizeofthegroundtruth;N=\\|D\\| |\n| φ | Theaggregatedqueryresult:e.g.,φ(overD)D |\n| ∆ | Theimpactofunknownunknowns:∆=φ−φDK |\n| fj | Afrequencystatistic,i.e.,thenumberofdataitems<br>withexactlyjoccurrencesinS. |\n| F | Thesetoffrequencystatistics,{f,f,...,f}12n |\n| ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |\n| γ | Coeﬃcientofvariance(dataskewmeasure) |\n| C | Samplecoverage,alsoC=1−M0 |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |\n| D | Aquantitativedatabase,D={T,T,...,T}.12n |\n| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |\n| TID | EachT∈Dhasauniquetransactionidentiﬁer.n |\n| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |\n| sup(X) | ThesupportofanitemsetXinDorQSD. |\n| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |\n| pr(i)j | Thepredeﬁnedunitproﬁtofanitemi.j |\n| u(i,T)jq | TheutilityofanitemiintransactionT.jq |\n| u(X,T)q | TheutilityofanitemsetXintransactionT.q |","| tu(T)q | ThesumoftheutilitiesofitemsintransactionT.q |\n| --- | --- |\n| minsup | Apredeﬁnedminimumsupportthreshold. |\n| minconf | Apredeﬁnedminimumconﬁdencethreshold. |\n| minutil | Apredeﬁnedminimumhigh-utilitythreshold. |\n| TWU | Thetransaction-weightedutilityofapattern. |\n| TWDC | Thetransaction-weighteddownwardclosureproperty. |\n| HTWUI | Ahightransaction-weightedutilizationitemset. |\n| HUI | Ahigh-utilityitemset. |\n| HUPM | High-utilityorutility-orientedpatternmining. |\n| k-itemset | Anitemsetwithknumberofitemsinitself. |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| I | Anunorderedsetofmdistinctitems,I={i,i,...,i}.12m |\n| D | Aquantitativedatabase,D={T,T,...,T}.12n |\n| QSD | Aquantitativesequentialdatabase={s,s,...,s}.12n |\n| TID | EachT∈Dhasauniquetransactionidentiﬁer.n |\n| X | Ak-itemsethavingkdistinctitems{i,i,...,i}.12k |\n| sup(X) | ThesupportofanitemsetXinDorQSD. |\n| q(i,T)jq | ThepurchasequantityofanitemiintransactionT.jq |\n| pr(i)j | Thepredeﬁnedunitproﬁtofanitemi.j |\n| u(i,T)jq | TheutilityofanitemiintransactionT.jq |\n| u(X,T)q | TheutilityofanitemsetXintransactionT.q |","| ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |\n| --- | --- |\n| γ | Coeﬃcientofvariance(dataskewmeasure) |\n| C | Samplecoverage,alsoC=1−M0 |",0]
["| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |\n| --- | --- | --- | --- |\n| v1dns | CVE-2016-3227 | 10.0 | 1.0 |\n| v1web | CVE-2016-4448 | 10.0 | 1.0 |\n| v2web | CVE-2015-4602 | 10.0 | 1.0 |\n| v3web | CVE-2015-4603 | 10.0 | 1.0 |\n| v4web | CVE-2016-4979 | 2.9 | 1.0 |\n| v5web | CVE-2016-4805 | 10.0 | 0.39 |","| v1app | CVE-2016-3586 | 10.0 | 1.0 |\n| --- | --- | --- | --- |\n| v2app | CVE-2016-3510 | 10.0 | 1.0 |\n| v3app | CVE-2016-3499 | 10.0 | 1.0 |\n| v4app | CVE-2016-0638 | 6.4 | 1.0 |\n| v5app | CVE-2016-4997 | 10.0 | 0.39 |\n| v1db | CVE-2016-6662 | 10.0 | 1.0 |\n| v2db | CVE-2016-0639 | 10.0 | 1.0 |\n| v3db | CVE-2015-3152 | 2.9 | 0.86 |\n| v4db | CVE-2016-3471 | 10.0 | 0.39 |\n| v5db | CVE-2016-4997 | 10.0 | 0.39 |",1]
["| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |\n| --- | --- | --- | --- |\n| v1dns | CVE-2016-3227 | 10.0 | 1.0 |\n| v1web | CVE-2016-4448 | 10.0 | 1.0 |\n| v2web | CVE-2015-4602 | 10.0 | 1.0 |\n| v3web | CVE-2015-4603 | 10.0 | 1.0 |\n| v4web | CVE-2016-4979 | 2.9 | 1.0 |\n| v5web | CVE-2016-4805 | 10.0 | 0.39 |","| Instance | #V#Csolution |\n| --- | --- |\n| b14optbug2vec1-gt-0 | 130328402707402706 |\n| b15-bug-4vec-gt-0 | 5810641712690– |\n| b15-bug-1vec-gt-0 | 121836359040359039 |\n| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |\n| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |\n| c2DDs3f1e2v1-bug-4vec-gt-0 | 40008511218101121806 |\n| c2DDs3f1e2v1-bug-1vec-gt-0 | 84525236942236941 |\n| c3DDs3f1e1v1-bug-4vec-gt-0 | 335408694486940 |\n| c3DDs3f1e1v1-bug-1vec-gt-0 | 83852173621735 |\n| c4DDs3f1e1v1-bug-gt-0 | 79772820112162011208 |\n| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |\n| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |\n| c5315-bug-gt-0 | 188050495048 |\n| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |\n| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |\n| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |\n| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |\n| c6288-bug-gt-0 | 346292859284 |\n| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |\n| c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |\n| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |\n| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |\n| c7552-bug-gt-0 | 264070087007 |\n| motcomb1.red-gt-0 | 215953265325 |\n| motcomb2.red-gt-0 | 54841389413893 |\n| motcomb3.red-gt-0 | 112652952029519 |\n| s15850-bug-4vec-gt-0 | 88544206252206248 |\n| s15850-bug-1vec-gt-0 | 221365156351562 |\n| s38584-bug-1vec-gt-0 | 314272819830819829 |",0]
["| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |\n| --- | --- | --- | --- |\n| v1dns | CVE-2016-3227 | 10.0 | 1.0 |\n| v1web | CVE-2016-4448 | 10.0 | 1.0 |\n| v2web | CVE-2015-4602 | 10.0 | 1.0 |","| v3web | CVE-2015-4603 | 10.0 | 1.0 |\n| --- | --- | --- | --- |\n| v4web | CVE-2016-4979 | 2.9 | 1.0 |\n| v5web | CVE-2016-4805 | 10.0 | 0.39 |\n| v1app | CVE-2016-3586 | 10.0 | 1.0 |\n| v2app | CVE-2016-3510 | 10.0 | 1.0 |\n| v3app | CVE-2016-3499 | 10.0 | 1.0 |\n| v4app | CVE-2016-0638 | 6.4 | 1.0 |\n| v5app | CVE-2016-4997 | 10.0 | 0.39 |\n| v1db | CVE-2016-6662 | 10.0 | 1.0 |\n| v2db | CVE-2016-0639 | 10.0 | 1.0 |\n| v3db | CVE-2015-3152 | 2.9 | 0.86 |\n| v4db | CVE-2016-3471 | 10.0 | 0.39 |\n| v5db | CVE-2016-4997 | 10.0 | 0.39 |",1]
["| Vulnerability | CVEID | Attack<br>impact | Attacksuccess<br>probability |\n| --- | --- | --- | --- |\n| v1dns | CVE-2016-3227 | 10.0 | 1.0 |\n| v1web | CVE-2016-4448 | 10.0 | 1.0 |\n| v2web | CVE-2015-4602 | 10.0 | 1.0 |","| motcomb3.red-gt-0 | 112652952029519 |\n| --- | --- |\n| s15850-bug-4vec-gt-0 | 88544206252206248 |\n| s15850-bug-1vec-gt-0 | 221365156351562 |\n| s38584-bug-1vec-gt-0 | 314272819830819829 |",0]
["|  | nodes | edges | averageDegree | averageclusteringcoeﬃcient |\n| --- | --- | --- | --- | --- |\n| Facebook | 775 | 14006 | 36.14 | 0.47 |","| GooglePlus | 240276 | 30751120 | 255.96 | 0.51 |\n| --- | --- | --- | --- | --- |\n| Yelp | 119839 | 954116 | 15.92 | 0.12 |\n| Youtube | 1134890 | 2987624 | 5.26 | 0.08 |\n| Clusteringgraph | 90 | 1707 | 37.93 | 0.99 |\n| Barbellgraph | 100 | 2451 | 49.02 | 0.99 |",1]
["|  | nodes | edges | averageDegree | averageclusteringcoeﬃcient |\n| --- | --- | --- | --- | --- |\n| Facebook | 775 | 14006 | 36.14 | 0.47 |","| Metric | Facebook | SmallTwitter | LargeTwitter |\n| --- | --- | --- | --- |\n| #Nodes | 43,953 | 8,167 | 41,652,230 |\n| #Edges | 182,384 | 68,282 | 1,202,513,046 |\n| Ave.degree | 8.29 | 16.72 | 57.74 |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["|  | nodes | edges | averageDegree | averageclusteringcoeﬃcient |\n| --- | --- | --- | --- | --- |\n| Facebook | 775 | 14006 | 36.14 | 0.47 |\n| GooglePlus | 240276 | 30751120 | 255.96 | 0.51 |","| Yelp | 119839 | 954116 | 15.92 | 0.12 |\n| --- | --- | --- | --- | --- |\n| Youtube | 1134890 | 2987624 | 5.26 | 0.08 |\n| Clusteringgraph | 90 | 1707 | 37.93 | 0.99 |\n| Barbellgraph | 100 | 2451 | 49.02 | 0.99 |",1]
["|  | nodes | edges | averageDegree | averageclusteringcoeﬃcient |\n| --- | --- | --- | --- | --- |\n| Facebook | 775 | 14006 | 36.14 | 0.47 |\n| GooglePlus | 240276 | 30751120 | 255.96 | 0.51 |","| #Edges | 182,384 | 68,282 | 1,202,513,046 |\n| --- | --- | --- | --- |\n| Ave.degree | 8.29 | 16.72 | 57.74 |\n| Ave.#attackedgeperSybil | 0.06 | 49.46 | 181.55 |",0]
["| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 |","| 983040 | 7,948 | 15,822 | 31,431 | 62,546 | 122,945 | 240,221 | 408,803 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1966080 | 7,972 | 15,868 | 31,232 | 62,909 | 125,105 | 81,220 | 483,412 |\n| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 |\n| 7864320 | 7,982 | 15,837 | 31,672 | 62,941 | 125,793 | 118,578 | 475,919 |\n| 15728640 | 7,913 | 15,808 | 31,536 | 63,008 | 125,728 | 250,092 | 498,543 |\n| 31457280 | 7,930 | 15,883 | 31,582 | 55,060 | 125,540 | 125,300 | 499,833 |",1]
["| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 |","| Problemsize | T1 | T8 | T16 | T32 | T64 | T128 | T256 | T512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 2,918 | 0,364 | 0,182 | 0,091 | 0,046 | 0,023 | 0,0064 | 0,0047 |\n| 983040 | 178,132 | 22,240 | 11,120 | 5,659 | 2,779 | 1,388 | 0,698 | 0,345 |\n| 1966080 | 708,634 | 88,522 | 44,262 | 23,137 | 11,063 | 5,5308 | 2,554 | 1,385 |\n| 3932160 | 2831,905 | 318,146 | 176,702 | 88,353 | 44,175 | 22,079 | 10,240 | 5,517 |\n| 7864320 | 11337,77 | 1416,032 | 812,677 | 353,901 | 176,960 | 88,462 | 38,918 | 21,949 |\n| 15728640 | 45318,33 | 5660,593 | 2830,199 | 1624,234 | 707,452 | 353,600 | 176,745 | 88,342 |\n| 31457280 | 181417,6 | 22653,32 | 11325,1 | 5661,966 | 3249,23 | 1414,826 | 706,802 | 353,248 |",0]
["| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 |\n| 983040 | 7,948 | 15,822 | 31,431 | 62,546 | 122,945 | 240,221 | 408,803 |\n| 1966080 | 7,972 | 15,868 | 31,232 | 62,909 | 125,105 | 81,220 | 483,412 |\n| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 |","| 7864320 | 7,982 | 15,837 | 31,672 | 62,941 | 125,793 | 118,578 | 475,919 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 15728640 | 7,913 | 15,808 | 31,536 | 63,008 | 125,728 | 250,092 | 498,543 |\n| 31457280 | 7,930 | 15,883 | 31,582 | 55,060 | 125,540 | 125,300 | 499,833 |",1]
["| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 |\n| 983040 | 7,948 | 15,822 | 31,431 | 62,546 | 122,945 | 240,221 | 408,803 |\n| 1966080 | 7,972 | 15,868 | 31,232 | 62,909 | 125,105 | 81,220 | 483,412 |\n| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 |","| 7864320 | 11337,77 | 1416,032 | 812,677 | 353,901 | 176,960 | 88,462 | 38,918 | 21,949 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15728640 | 45318,33 | 5660,593 | 2830,199 | 1624,234 | 707,452 | 353,600 | 176,745 | 88,342 |\n| 31457280 | 181417,6 | 22653,32 | 11325,1 | 5661,966 | 3249,23 | 1414,826 | 706,802 | 353,248 |",0]
["| IAMDataset | Acronym | Targetclass | #Target | #Non-target |\n| --- | --- | --- | --- | --- |\n| AIDS | A | a | 200 | 1600 |","| GREC | G | 1 | 50 | 1033 |\n| --- | --- | --- | --- | --- |\n| Letter-Low | L-L | A | 150 | 1400 |\n| Letter-High | L-H | A | 150 | 1400 |\n| Mutagenicity | M | mutagen | 2401 | 1713 |\n| Protein | P | 1 | 99 | 332 |",1]
["| IAMDataset | Acronym | Targetclass | #Target | #Non-target |\n| --- | --- | --- | --- | --- |\n| AIDS | A | a | 200 | 1600 |","| DataSet | #classes | #instances | #dim. |\n| --- | --- | --- | --- |\n| Wdbc | 2 | 569 | 31 |\n| Ionosphere | 2 | 351 | 34 |\n| Spectf | 2 | 267 | 44 |\n| Spambase | 2 | 4,601 | 57 |\n| Colon | 2 | 62 | 2,000 |\n| Prostate | 2 | 102 | 6,033 |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",0]
["| IAMDataset | Acronym | Targetclass | #Target | #Non-target |\n| --- | --- | --- | --- | --- |\n| AIDS | A | a | 200 | 1600 |","| GREC | G | 1 | 50 | 1033 |\n| --- | --- | --- | --- | --- |\n| Letter-Low | L-L | A | 150 | 1400 |\n| Letter-High | L-H | A | 150 | 1400 |\n| Mutagenicity | M | mutagen | 2401 | 1713 |\n| Protein | P | 1 | 99 | 332 |",1]
["| IAMDataset | Acronym | Targetclass | #Target | #Non-target |\n| --- | --- | --- | --- | --- |\n| AIDS | A | a | 200 | 1600 |","| Spambase | 2 | 4,601 | 57 |\n| --- | --- | --- | --- |\n| Colon | 2 | 62 | 2,000 |\n| Prostate | 2 | 102 | 6,033 |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",0]
["| method | accu. | prec. | recall | f-score |\n| --- | --- | --- | --- | --- |\n| LSTM | 73.4 | 73.6 | 73.1 | 73.4 |","| LSTMw/attention | 73.8 | 74.4 | 72.5 | 73.4 |\n| --- | --- | --- | --- | --- |\n| BLSTM | 73.8 | 74.7 | 71.9 | 73.2 |\n| BLSTMw/<br>attention | 74.1 | 73.6 | 75.0 | 74.3 |",1]
["| method | accu. | prec. | recall | f-score |\n| --- | --- | --- | --- | --- |\n| LSTM | 73.4 | 73.6 | 73.1 | 73.4 |","| Method | Recall | Precision | F-measure |\n| --- | --- | --- | --- |\n| FCRNall+ﬁlts | 0.76 | 0.92 | 0.83 |\n| TextBoxes | 0.74 | 0.88 | 0.81 |\n| TextBoxes+MS | 0.83 | 0.89 | 0.86 |\n| Seglink | 0.83 | 0.88 | 0.85 |\n| Tianetal. | 0.83 | 0.93 | 0.88 |\n| Tangetal. | 0.87 | 0.92 | 0.90 |\n| Heetal. | 0.86 | 0.89 | 0.88 |\n| Heetal. | 0.81 | 0.92 | 0.86 |\n| WordSup+MS | 0.88 | 0.93 | 0.90 |\n| Baseline | 0.74 | 0.88 | 0.81 |\n| Baseline+MS | 0.85 | 0.92 | 0.88 |\n| RRD | 0.75 | 0.88 | 0.81 |\n| RRD+MS | 0.86 | 0.92 | 0.89 |",0]
["| method | accu. | prec. | recall | f-score |\n| --- | --- | --- | --- | --- |\n| LSTM | 73.4 | 73.6 | 73.1 | 73.4 |","| LSTMw/attention | 73.8 | 74.4 | 72.5 | 73.4 |\n| --- | --- | --- | --- | --- |\n| BLSTM | 73.8 | 74.7 | 71.9 | 73.2 |\n| BLSTMw/<br>attention | 74.1 | 73.6 | 75.0 | 74.3 |",1]
["| method | accu. | prec. | recall | f-score |\n| --- | --- | --- | --- | --- |\n| LSTM | 73.4 | 73.6 | 73.1 | 73.4 |","| Heetal. | 0.86 | 0.89 | 0.88 |\n| --- | --- | --- | --- |\n| Heetal. | 0.81 | 0.92 | 0.86 |\n| WordSup+MS | 0.88 | 0.93 | 0.90 |\n| Baseline | 0.74 | 0.88 | 0.81 |\n| Baseline+MS | 0.85 | 0.92 | 0.88 |\n| RRD | 0.75 | 0.88 | 0.81 |\n| RRD+MS | 0.86 | 0.92 | 0.89 |",0]
["| 1 | 5 |\n| --- | --- |\n| 4.19 | 3.85 |\n| 7.18 | 5.69 |","| 2.91 | 2.72 |\n| --- | --- |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",1]
["| 1 | 5 |\n| --- | --- |\n| 4.19 | 3.85 |\n| 7.18 | 5.69 |","| 2.36 | 2.10 |\n| --- | --- |\n| 3.02 | 2.93 |\n| 3.17 | 2.69 |\n| 3.90 | 3.62 |\n| 3.86 | 3.81 |\n| 1.67 | 1.67 |",0]
["| 1 | 5 |\n| --- | --- |\n| 4.19 | 3.85 |","| 7.18 | 5.69 |\n| --- | --- |\n| 2.91 | 2.72 |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",1]
["| 1 | 5 |\n| --- | --- |\n| 4.19 | 3.85 |","| 3.17 | 2.69 |\n| --- | --- |\n| 3.90 | 3.62 |\n| 3.86 | 3.81 |\n| 1.67 | 1.67 |",0]
["|  |\n| --- |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |","| SL<br>DRL |\n| --- |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |",1]
["|  |\n| --- |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |","| UL<br>GN |\n| --- |\n| UL<br>GN |\n| UL<br>GN |\n| UL<br>GN |\n| UL<br>GN |",0]
["|  |\n| --- |\n| SL<br>DRL |","| SL<br>DRL |\n| --- |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |\n| SL<br>DRL |",1]
["|  |\n| --- |\n| SL<br>DRL |","| UL<br>GN |\n| --- |\n| UL<br>GN |",0]
["| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |\n| --- | --- |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |\n| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 |\n| Clustering(AMI) | NISTMARGCLEF-IPIH1IH2IH3 |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 1007.931.873.673.759.5<br>98.88.538.573.671.565.4<br>1008.940.278.466.859.3 |\n| FV16+MLP<br>FV256+PCA | 97.79.139.174.654.963.5<br>99.44.844.972.560.347.4 |\n| Classiﬁcation(OA) | NISTMARGCLEF-IPIH1IH2IH3 |","| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10065.775.094.393.691.3<br>10063.375.894.092.693.6<br>10060.474.194.592.693.8 |\n| --- | --- |\n| FV16+MLP<br>FV256+PCA | 10053.764.593.184.188.4<br>10064.481.394.186.692.5 |",1]
["| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |\n| --- | --- |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |\n| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 |\n| Clustering(AMI) | NISTMARGCLEF-IPIH1IH2IH3 |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 1007.931.873.673.759.5<br>98.88.538.573.671.565.4<br>1008.940.278.466.859.3 |\n| FV16+MLP<br>FV256+PCA | 97.79.139.174.654.963.5<br>99.44.844.972.560.347.4 |\n| Classiﬁcation(OA) | NISTMARGCLEF-IPIH1IH2IH3 |","| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| GIST1 | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |\n| --- | --- |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |\n| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 |","| Clustering(AMI) | NISTMARGCLEF-IPIH1IH2IH3 |\n| --- | --- |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 1007.931.873.673.759.5<br>98.88.538.573.671.565.4<br>1008.940.278.466.859.3 |\n| FV16+MLP<br>FV256+PCA | 97.79.139.174.654.963.5<br>99.44.844.972.560.347.4 |\n| Classiﬁcation(OA) | NISTMARGCLEF-IPIH1IH2IH3 |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10065.775.094.393.691.3<br>10063.375.894.092.693.6<br>10060.474.194.592.693.8 |\n| FV16+MLP<br>FV256+PCA | 10053.764.593.184.188.4<br>10064.481.394.186.692.5 |",1]
["| Retrieval(mAP) | NISTMARGCLEF-IPIH1IH2IH3 |\n| --- | --- |\n| CNN-A-p5<br>CNN-G-i4a<br>CNN-G-i4e | 10038.740.975.178.867.7<br>10036.442.478.581.873.4<br>10036.243.978.080.373.8 |\n| FV16+MLP<br>FV256+PCA | 99.732.144.076.466.365.7<br>99.938.250.979.170.668.3 |","| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |\n| --- | --- | --- | --- |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |",0]
["| Add201409UniProtKB | 182minutes |\n| --- | --- |\n| Updateto201410UniProtKB | 144minutes |","| RetrieveUniProtKB | 36minutes |\n| --- | --- |\n| RetrievecachedUniProtKB | 12minutes |\n| RetrieveincrementalUniProtKB | 5minutes |\n| RetrievecachedincrementalUniProtKB | 26seconds |",1]
["| Add201409UniProtKB | 182minutes |\n| --- | --- |\n| Updateto201410UniProtKB | 144minutes |","| FullupdatewithoutGeStore | 833minutes |\n| --- | --- |\n| FullupdatewithGeStore | 965minutes |\n| FullupdatewithGeStore,cachedDB | 859minutes |\n| 1-monthincrementalupdate | 61minutes |\n| 4-monthincrementalupdate | 99minutes |",0]
["| Add201409UniProtKB | 182minutes |\n| --- | --- |\n| Updateto201410UniProtKB | 144minutes |","| RetrieveUniProtKB | 36minutes |\n| --- | --- |\n| RetrievecachedUniProtKB | 12minutes |\n| RetrieveincrementalUniProtKB | 5minutes |\n| RetrievecachedincrementalUniProtKB | 26seconds |",1]
["| Add201409UniProtKB | 182minutes |\n| --- | --- |\n| Updateto201410UniProtKB | 144minutes |","| 1-monthincrementalupdate | 61minutes |\n| --- | --- |\n| 4-monthincrementalupdate | 99minutes |",0]
["| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 |","| 2.63 | 2.52 | 2.44 | 2.55 |\n| --- | --- | --- | --- |\n| 2.86 | 2.69 | 2.71 | 2.88 |",1]
["| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 |","| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 4.90 | 3.33 | 2.49 | 3.34 |\n| 4.59 | 2.91 | 1.45 | 3.48 |  |\n| 6.19 | 4.33 | 4.95 | 3.89 |  |",0]
["| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 |","| 2.63 | 2.52 | 2.44 | 2.55 |\n| --- | --- | --- | --- |\n| 2.86 | 2.69 | 2.71 | 2.88 |",1]
["| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 |","| 4.59 | 2.91 | 1.45 | 3.48 |\n| --- | --- | --- | --- |\n| 6.19 | 4.33 | 4.95 | 3.89 |",0]
["| Session | \\|M\\| | Greedy | Generous | Min-Cost |\n| --- | --- | --- | --- | --- |\n|  |  | ProﬁleCost | ProﬁleCost | ProﬁleCost |\n| 14/15 | 51 | (30,7,1,5,5,3)110 | (16,16,9,6,4)119 | (28,11,3,5,2,2)101 |\n| 13/14 | 51 | (26,7,4,6,8)116 | (15,18,9,6,3)117 | (23,12,5,6,5)111 |\n| 12/13 | 38 | (26,6,3,2,1)60 | (21,13,4)59 | (23,11,3,1)58 |\n| 11/12 | 31 | (22,6,2,1)44 | (20,9,2)44 | (20,9,2)44 |\n| 10/11 | 34 | (25,4,3,1,1)51 | (21,9,4)51 | (24,5,4,1)50 |","| 09/10 | 32 | (23,4,2,2,1)50 | (19,10,3)48 | (20,9,2,1)48 |\n| --- | --- | --- | --- | --- |\n| 08/09 | 37 | (26,6,2,1,2)58 | (23,11,3)54 | (23,11,3)54 |\n| 07/08 | 35 | (20,9,5,0,1)58 | (17,14,4)57 | (17,14,4)57 |",1]
["| Session | \\|M\\| | Greedy | Generous | Min-Cost |\n| --- | --- | --- | --- | --- |\n|  |  | ProﬁleCost | ProﬁleCost | ProﬁleCost |\n| 14/15 | 51 | (30,7,1,5,5,3)110 | (16,16,9,6,4)119 | (28,11,3,5,2,2)101 |\n| 13/14 | 51 | (26,7,4,6,8)116 | (15,18,9,6,3)117 | (23,12,5,6,5)111 |\n| 12/13 | 38 | (26,6,3,2,1)60 | (21,13,4)59 | (23,11,3,1)58 |\n| 11/12 | 31 | (22,6,2,1)44 | (20,9,2)44 | (20,9,2)44 |\n| 10/11 | 34 | (25,4,3,1,1)51 | (21,9,4)51 | (24,5,4,1)50 |","| Activity | #campaigns | #tasks | totalbudget |\n| --- | --- | --- | --- |\n| L | 1,303 | 207,811 | $22,757.32 |\n| P | 1,293 | 116,682 | $26,796.95 |\n| S | 1,229 | 577,444 | $46,802.91 |\n| U | 1,210 | 354,180 | $40,344.71 |\n| C | 733 | 227,756 | $27,926.15 |\n| E | 495 | 318,387 | $23,310.10 |\n| I | 361 | 16,934 | $8,375.01 |\n| H | 357 | 26,305 | $7,547.54 |\n| Z | 352 | 122,974 | $9,681.65 |\n| N | 203 | 26,808 | $3,419.92 |\n| B | 196 | 40,045 | $4,422.94 |\n| W | 147 | 38,756 | $4,307.35 |\n| D | 138 | 50,886 | $6,307.99 |\n| F | 79 | 12,649 | $1,520.29 |\n| V | 68 | 32,832 | $4,026.03 |\n| T | 31 | 2,071 | $409.87 |\n| R | 29 | 5,191 | $2,037.10 |\n| O | 24 | 7,219 | $1,240.66 |\n| A | 14 | 519 | $78.90 |\n| M | 12 | 847 | $203.45 |\n| K | 10 | 474 | $292.02 |\n| Q | 3 | 150 | $24.60 |\n| Y | 1 | 1,026 | $61.56 |",0]
["| Session | \\|M\\| | Greedy | Generous | Min-Cost |\n| --- | --- | --- | --- | --- |\n|  |  | ProﬁleCost | ProﬁleCost | ProﬁleCost |","| 14/15 | 51 | (30,7,1,5,5,3)110 | (16,16,9,6,4)119 | (28,11,3,5,2,2)101 |\n| --- | --- | --- | --- | --- |\n| 13/14 | 51 | (26,7,4,6,8)116 | (15,18,9,6,3)117 | (23,12,5,6,5)111 |\n| 12/13 | 38 | (26,6,3,2,1)60 | (21,13,4)59 | (23,11,3,1)58 |\n| 11/12 | 31 | (22,6,2,1)44 | (20,9,2)44 | (20,9,2)44 |\n| 10/11 | 34 | (25,4,3,1,1)51 | (21,9,4)51 | (24,5,4,1)50 |\n| 09/10 | 32 | (23,4,2,2,1)50 | (19,10,3)48 | (20,9,2,1)48 |\n| 08/09 | 37 | (26,6,2,1,2)58 | (23,11,3)54 | (23,11,3)54 |\n| 07/08 | 35 | (20,9,5,0,1)58 | (17,14,4)57 | (17,14,4)57 |",1]
["| Session | \\|M\\| | Greedy | Generous | Min-Cost |\n| --- | --- | --- | --- | --- |\n|  |  | ProﬁleCost | ProﬁleCost | ProﬁleCost |","| N | 203 | 26,808 | $3,419.92 |\n| --- | --- | --- | --- |\n| B | 196 | 40,045 | $4,422.94 |\n| W | 147 | 38,756 | $4,307.35 |\n| D | 138 | 50,886 | $6,307.99 |\n| F | 79 | 12,649 | $1,520.29 |\n| V | 68 | 32,832 | $4,026.03 |\n| T | 31 | 2,071 | $409.87 |\n| R | 29 | 5,191 | $2,037.10 |\n| O | 24 | 7,219 | $1,240.66 |\n| A | 14 | 519 | $78.90 |\n| M | 12 | 847 | $203.45 |\n| K | 10 | 474 | $292.02 |\n| Q | 3 | 150 | $24.60 |\n| Y | 1 | 1,026 | $61.56 |",0]
["| chaircontrdoorpostrstair |\n| --- |\n| .143.037.073.143.061 |\n| .045.128.165.066.008 |","| .125.318.150.236.122 |\n| --- |\n| .188.396.194.342.143 |\n| .191.364.204.307.125 |\n| .192.388.267.318.096 |\n| .244.424.281.341.089 |\n| .234.314.230.247.168 |\n| .329.451.298.390.159 |",1]
["| chaircontrdoorpostrstair |\n| --- |\n| .143.037.073.143.061 |\n| .045.128.165.066.008 |","|  | wall | ﬂoor | cabin | bed | chair | sofa | table | door | wdw | bslf | pic | cnter |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SF5<br>DFCN<br>DFCN-DCRF | 74.94<br>74.72<br>74.29 | 87.41<br>87.41<br>86.78 | 41.70<br>41.52<br>43.44 | 66.53<br>62.49<br>64.25 | 64.45<br>64.58<br>64.80 | 50.36<br>48.78<br>51.6 | 49.01<br>44.94<br>45.73 | 33.35<br>31.54<br>31.67 | 44.77<br>46.18<br>47.64 | 28.12<br>31.08<br>32.55 | 46.84<br>47.71<br>46.43 | 27.73<br>31.09<br>32.00 |\n|  | desk | shelf | ctn | drssr | pillow | mirror | mat | clthes | ceiling | books | fridge | tv |\n| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |\n|  | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |\n| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 |",0]
["| chaircontrdoorpostrstair |\n| --- |\n| .143.037.073.143.061 |\n| .045.128.165.066.008 |","| .125.318.150.236.122 |\n| --- |\n| .188.396.194.342.143 |\n| .191.364.204.307.125 |\n| .192.388.267.318.096 |\n| .244.424.281.341.089 |\n| .234.314.230.247.168 |\n| .329.451.298.390.159 |",1]
["| chaircontrdoorpostrstair |\n| --- |\n| .143.037.073.143.061 |\n| .045.128.165.066.008 |","| SF5<br>DFCN<br>DFCN-DCRF | 18.31<br>20.47<br>21.28 | 9.20<br>7.16<br>7.23 | 52.68<br>53.58<br>55.5 | 34.61<br>35.65<br>39.49 | 37.77<br>35.50<br>34.41 | 38.87<br>28.57<br>28.55 | 0<br>0<br>0 | 16.67<br>26.18<br>28.64 | 67.34<br>64.46<br>63.11 | 27.29<br>33.32<br>33.12 | 31.31<br>37.82<br>42.33 | 31.64<br>36.34<br>42.96 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | towel | shwr | box | board | person | stand | toilet | sink | lamp | btub | bag | mean |\n| SF5<br>DFCN<br>DFCN-DCRF | 16.55<br>28.43<br>29.77 | 6.06<br>0.21<br>0 | 15.77<br>23.62<br>25.69 | 49.23<br>45.03<br>45.21 | 14.59<br>29.64<br>35.14 | 19.55<br>16.27<br>18.52 | 67.06<br>65.94<br>67.72 | 54.99<br>48.84<br>49.91 | 35.07<br>33.74<br>33.24 | 63.06<br>56.08<br>60.64 | 9.52<br>15.41<br>16.52 | 37.29<br>38.0<br>39.3 |",0]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(32featuremaps) | 29 |\n| Convlayer(32featuremaps) | 755 |","| ActivationLayer | 113 |\n| --- | --- |\n| AveragePoolingLayer | 15 |\n| Convlayer(64featuremaps) | 249 |\n| Convlayer(64featuremaps) | 314 |\n| ActivationLayer | 127 |\n| Convlayer(128featuremaps) | 418 |\n| Convlayer(128featuremaps) | 405 |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",1]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(32featuremaps) | 29 |\n| Convlayer(32featuremaps) | 755 |","| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(92featuremaps) | 331 |\n| Convlayer(92featuremaps) | 1025 |\n| Convlayer(92featuremaps) | 1107 |\n| ActivationLayer | 135 |\n| Convlayer(192featuremaps) | 1439 |\n| Convlayer(192featuremaps) | 1649 |\n| ActivationLayer | 153 |\n| Convlayer(192featuremaps) | 2192 |\n| Convlayer(192featuremaps) | 1873 |\n| Convlayer(192featuremaps) | 1725 |\n| GlobalAveragePoolingLayer | 35 |\n| FullyConnected | 22 |",0]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(32featuremaps) | 29 |","| Convlayer(32featuremaps) | 755 |\n| --- | --- |\n| ActivationLayer | 113 |\n| AveragePoolingLayer | 15 |\n| Convlayer(64featuremaps) | 249 |\n| Convlayer(64featuremaps) | 314 |\n| ActivationLayer | 127 |\n| Convlayer(128featuremaps) | 418 |\n| Convlayer(128featuremaps) | 405 |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",1]
["| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(32featuremaps) | 29 |","| GlobalAveragePoolingLayer | 35 |\n| --- | --- |\n| FullyConnected | 22 |",0]
["| PredictTarget | Item | Query | Coupon |\n| --- | --- | --- | --- |\n| Bi-LSTM | 0.6779 | 0.6019 | 0.8500 |","| Bi-LSTM+Attention | 0.6754 | 0.5999 | 0.8413 |\n| --- | --- | --- | --- |\n| CNN+MaxPooling | 0.6762 | 0.6100 | 0.8611 |\n| ATRank-one2one | 0.6785 | 0.6132 | 0.8601 |\n| ATRank-all2one | 0.6825 | 0.6297 | 0.8725 |\n| ATRank-all2all | 0.6759 | 0.6199 | 0.8587 |",1]
["| PredictTarget | Item | Query | Coupon |\n| --- | --- | --- | --- |\n| Bi-LSTM | 0.6779 | 0.6019 | 0.8500 |","| Dataset | Electro. | Clothe. |\n| --- | --- | --- |\n| BPR | 0.7982 | 0.7061 |\n| Bi-LSTM | 0.8757 | 0.7869 |\n| Bi-LSTM+Attention | 0.8769 | 0.7835 |\n| CNN+MaxPooling | 0.8804 | 0.7786 |\n| ATRank | 0.8921 | 0.7905 |",0]
["| PredictTarget | Item | Query | Coupon |\n| --- | --- | --- | --- |\n| Bi-LSTM | 0.6779 | 0.6019 | 0.8500 |\n| Bi-LSTM+Attention | 0.6754 | 0.5999 | 0.8413 |","| CNN+MaxPooling | 0.6762 | 0.6100 | 0.8611 |\n| --- | --- | --- | --- |\n| ATRank-one2one | 0.6785 | 0.6132 | 0.8601 |\n| ATRank-all2one | 0.6825 | 0.6297 | 0.8725 |\n| ATRank-all2all | 0.6759 | 0.6199 | 0.8587 |",1]
["| PredictTarget | Item | Query | Coupon |\n| --- | --- | --- | --- |\n| Bi-LSTM | 0.6779 | 0.6019 | 0.8500 |\n| Bi-LSTM+Attention | 0.6754 | 0.5999 | 0.8413 |","| CNN+MaxPooling | 0.8804 | 0.7786 |\n| --- | --- | --- |\n| ATRank | 0.8921 | 0.7905 |",0]
["|  | NR | P1,L=100s.d. | P1,L=500s.d. | P2,k=5 |\n| --- | --- | --- | --- | --- |\n| Intercept | -10.7536 | -11.63061.0761 | -11.57320.5339 | -10.7944 |\n| ChildSup | 0.0002 | 0.00020 | 0.00020 | 0.0002 |\n| PropertyTax | 0.0003 | 0.00030 | 0.00030 | 0.0003 |\n| NuminHousehold | 0.9802 | 0.99160.0863 | 0.98810.0434 | 0.9259 |\n| NumChildren | -1.056 | -1.07210.0935 | -1.06850.047 | -1.0017 |\n| NumMarried | 0.0342 | 0.03430.0053 | 0.03430.0022 | 0.032 |","| ChildSupInd. | -0.0001 | -0.00010 | -0.00010 | -0.0001 |\n| --- | --- | --- | --- | --- |\n| Education | 0.3218 | 0.32760.0295 | 0.32650.0146 | 0.3058 |\n| Age | -4.6178<br>-4.2368<br>-3.9608<br>-4.9575 | -3.97010.3451<br>-3.67820.3148<br>-3.33550.2852<br>-4.40690.3795 | -3.940.1638<br>-3.65960.1504<br>-3.31570.135<br>-4.38140.1829 | -3.6202<br>-3.4817<br>-3.1592<br>-4.1096 |\n| MaritalStatus | 0.0064<br>-0.5362<br>-0.4378<br>-0.5855<br>-0.9617<br>-0.7496 | 0.00510.0282<br>-0.56230.058<br>-0.47180.0819<br>-0.60960.0675<br>-1.02830.1146<br>-0.78880.0852 | 0.00010.012<br>-0.55620.0279<br>-0.46090.0374<br>-0.60180.0309<br>-1.01160.0549<br>-0.77830.0401 | -0.0035<br>-0.5205<br>-0.3934<br>-0.572<br>-0.957<br>-0.736 |\n| -<br>Race | 0.2417<br>-0.4981<br>-0.1658 | -0.25880.0276<br>-0.51670.05<br>-0.17960.0196 | -0.25650.0135<br>-0.51280.0244<br>-0.17850.0102 | -0.2401<br>-0.4835<br>-0.1631 |\n| Sex | -0.2763 | -0.28020.0244 | -0.27920.0125 | -0.2613 |",1]
["|  | NR | P1,L=100s.d. | P1,L=500s.d. | P2,k=5 |\n| --- | --- | --- | --- | --- |\n| Intercept | -10.7536 | -11.63061.0761 | -11.57320.5339 | -10.7944 |\n| ChildSup | 0.0002 | 0.00020 | 0.00020 | 0.0002 |\n| PropertyTax | 0.0003 | 0.00030 | 0.00030 | 0.0003 |\n| NuminHousehold | 0.9802 | 0.99160.0863 | 0.98810.0434 | 0.9259 |\n| NumChildren | -1.056 | -1.07210.0935 | -1.06850.047 | -1.0017 |\n| NumMarried | 0.0342 | 0.03430.0053 | 0.03430.0022 | 0.032 |","| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["|  | NR | P1,L=100s.d. | P1,L=500s.d. | P2,k=5 |\n| --- | --- | --- | --- | --- |\n| Intercept | -10.7536 | -11.63061.0761 | -11.57320.5339 | -10.7944 |\n| ChildSup | 0.0002 | 0.00020 | 0.00020 | 0.0002 |\n| PropertyTax | 0.0003 | 0.00030 | 0.00030 | 0.0003 |\n| NuminHousehold | 0.9802 | 0.99160.0863 | 0.98810.0434 | 0.9259 |\n| NumChildren | -1.056 | -1.07210.0935 | -1.06850.047 | -1.0017 |\n| NumMarried | 0.0342 | 0.03430.0053 | 0.03430.0022 | 0.032 |\n| ChildSupInd. | -0.0001 | -0.00010 | -0.00010 | -0.0001 |\n| Education | 0.3218 | 0.32760.0295 | 0.32650.0146 | 0.3058 |\n| Age | -4.6178<br>-4.2368<br>-3.9608<br>-4.9575 | -3.97010.3451<br>-3.67820.3148<br>-3.33550.2852<br>-4.40690.3795 | -3.940.1638<br>-3.65960.1504<br>-3.31570.135<br>-4.38140.1829 | -3.6202<br>-3.4817<br>-3.1592<br>-4.1096 |","| MaritalStatus | 0.0064<br>-0.5362<br>-0.4378<br>-0.5855<br>-0.9617<br>-0.7496 | 0.00510.0282<br>-0.56230.058<br>-0.47180.0819<br>-0.60960.0675<br>-1.02830.1146<br>-0.78880.0852 | 0.00010.012<br>-0.55620.0279<br>-0.46090.0374<br>-0.60180.0309<br>-1.01160.0549<br>-0.77830.0401 | -0.0035<br>-0.5205<br>-0.3934<br>-0.572<br>-0.957<br>-0.736 |\n| --- | --- | --- | --- | --- |\n| -<br>Race | 0.2417<br>-0.4981<br>-0.1658 | -0.25880.0276<br>-0.51670.05<br>-0.17960.0196 | -0.25650.0135<br>-0.51280.0244<br>-0.17850.0102 | -0.2401<br>-0.4835<br>-0.1631 |\n| Sex | -0.2763 | -0.28020.0244 | -0.27920.0125 | -0.2613 |",1]
["|  | NR | P1,L=100s.d. | P1,L=500s.d. | P2,k=5 |\n| --- | --- | --- | --- | --- |\n| Intercept | -10.7536 | -11.63061.0761 | -11.57320.5339 | -10.7944 |\n| ChildSup | 0.0002 | 0.00020 | 0.00020 | 0.0002 |\n| PropertyTax | 0.0003 | 0.00030 | 0.00030 | 0.0003 |\n| NuminHousehold | 0.9802 | 0.99160.0863 | 0.98810.0434 | 0.9259 |\n| NumChildren | -1.056 | -1.07210.0935 | -1.06850.047 | -1.0017 |\n| NumMarried | 0.0342 | 0.03430.0053 | 0.03430.0022 | 0.032 |\n| ChildSupInd. | -0.0001 | -0.00010 | -0.00010 | -0.0001 |\n| Education | 0.3218 | 0.32760.0295 | 0.32650.0146 | 0.3058 |\n| Age | -4.6178<br>-4.2368<br>-3.9608<br>-4.9575 | -3.97010.3451<br>-3.67820.3148<br>-3.33550.2852<br>-4.40690.3795 | -3.940.1638<br>-3.65960.1504<br>-3.31570.135<br>-4.38140.1829 | -3.6202<br>-3.4817<br>-3.1592<br>-4.1096 |","| (d,d)2∞ |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["|  |  | TAGnet<br>-EML | TAGnet<br>-MML | NJ-TAGnet<br>-EML | NJ-TAGnet<br>-MML | BE<br>-EML | BE<br>-MML | SC<br>-EML | SC<br>-MML | Deep<br>Semi-NMF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MNIST | Acc | 0.6704 | 0.6922 | 0.6472 | 0.5052 | 0.5401 | 0.6521 | 0.6550 | 0.6784 | / |\n|  |  |  |  |  |  |  |  |  |  |  |\n| CMU<br>MultiPIE | Acc | 0.2176 | 0.2347 | 0.1727 | 0.1861 | 0.1204 | 0.1451 | 0.2002 | 0.2090 | 0.17 |","|  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| COIL20 | Acc | 0.8553 | 0.8991 | 0.7432 | 0.7882 | 0.7441 | 0.7645 | 0.8225 | 0.8658 | / |\n|  |  |  |  |  |  |  |  |  |  |  |",1]
["|  |  | TAGnet<br>-EML | TAGnet<br>-MML | NJ-TAGnet<br>-EML | NJ-TAGnet<br>-MML | BE<br>-EML | BE<br>-MML | SC<br>-EML | SC<br>-MML | Deep<br>Semi-NMF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MNIST | Acc | 0.6704 | 0.6922 | 0.6472 | 0.5052 | 0.5401 | 0.6521 | 0.6550 | 0.6784 | / |\n|  |  |  |  |  |  |  |  |  |  |  |\n| CMU<br>MultiPIE | Acc | 0.2176 | 0.2347 | 0.1727 | 0.1861 | 0.1204 | 0.1451 | 0.2002 | 0.2090 | 0.17 |","|  | CCsAUCAUCNSS |\n| --- | --- |\n| SAM-ResNet | 0.8420.7790.8833.204 |\n| DSCLRCN | 0.8310.7760.8843.157 |\n| SAM-VGG | 0.8250.7740.8813.143 |\n| ML-Net | 0.7430.7680.8662.789 |\n| MixNet | 0.7300.7710.8612.767 |\n| SU | 0.7800.7600.8802.610 |\n| SalGAN(*) | 0.7810.7720.7812.459 |\n| SalNet | 0.6220.7240.8581.859 |\n| DeepGazeII | 0.5090.7610.8851.336 |",0]
["|  |  | TAGnet<br>-EML | TAGnet<br>-MML | NJ-TAGnet<br>-EML | NJ-TAGnet<br>-MML | BE<br>-EML | BE<br>-MML | SC<br>-EML | SC<br>-MML | Deep<br>Semi-NMF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MNIST | Acc | 0.6704 | 0.6922 | 0.6472 | 0.5052 | 0.5401 | 0.6521 | 0.6550 | 0.6784 | / |\n|  |  |  |  |  |  |  |  |  |  |  |","| CMU<br>MultiPIE | Acc | 0.2176 | 0.2347 | 0.1727 | 0.1861 | 0.1204 | 0.1451 | 0.2002 | 0.2090 | 0.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |\n| COIL20 | Acc | 0.8553 | 0.8991 | 0.7432 | 0.7882 | 0.7441 | 0.7645 | 0.8225 | 0.8658 | / |\n|  |  |  |  |  |  |  |  |  |  |  |",1]
["|  |  | TAGnet<br>-EML | TAGnet<br>-MML | NJ-TAGnet<br>-EML | NJ-TAGnet<br>-MML | BE<br>-EML | BE<br>-MML | SC<br>-EML | SC<br>-MML | Deep<br>Semi-NMF |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MNIST | Acc | 0.6704 | 0.6922 | 0.6472 | 0.5052 | 0.5401 | 0.6521 | 0.6550 | 0.6784 | / |\n|  |  |  |  |  |  |  |  |  |  |  |","| SalGAN(*) | 0.7810.7720.7812.459 |\n| --- | --- |\n| SalNet | 0.6220.7240.8581.859 |\n| DeepGazeII | 0.5090.7610.8851.336 |",0]
["| Image | Dictionary | DCT | DWT |\n| --- | --- | --- | --- |\n| Barbara | 7.09 | 4.05 | 3.92 |\n| Boat | 6.03 | 3.63 | 3.65 |\n| Bridge | 3.70 | 2.06 | 2.20 |\n| FilmClip | 8.06 | 4.53 | 4.81 |\n| Jester | 6.28 | 3.6 | 3.88 |\n| Lena | 10.06 | 6.50 | 6.97 |\n| Mandrill | 3.32 | 1.91 | 1.90 |","| Peppers | 7.74 | 4.36 | 3.39 |\n| --- | --- | --- | --- |\n| Photo(Fig1) | 5.28 | 3.01 | 3.15 |",1]
["| Image | Dictionary | DCT | DWT |\n| --- | --- | --- | --- |\n| Barbara | 7.09 | 4.05 | 3.92 |\n| Boat | 6.03 | 3.63 | 3.65 |\n| Bridge | 3.70 | 2.06 | 2.20 |\n| FilmClip | 8.06 | 4.53 | 4.81 |\n| Jester | 6.28 | 3.6 | 3.88 |\n| Lena | 10.06 | 6.50 | 6.97 |\n| Mandrill | 3.32 | 1.91 | 1.90 |","| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.9303 | 0.9485 | 0.8588 |\n| Barbara | 0.8499 | 0.8811 | 0.8679 |\n| Baboon | 0.8250 | 0.7944 | 0.7577 |\n| Boat | 0.8799 | 0.9005 | 0.8136 |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",0]
["| Image | Dictionary | DCT | DWT |\n| --- | --- | --- | --- |\n| Barbara | 7.09 | 4.05 | 3.92 |\n| Boat | 6.03 | 3.63 | 3.65 |\n| Bridge | 3.70 | 2.06 | 2.20 |","| FilmClip | 8.06 | 4.53 | 4.81 |\n| --- | --- | --- | --- |\n| Jester | 6.28 | 3.6 | 3.88 |\n| Lena | 10.06 | 6.50 | 6.97 |\n| Mandrill | 3.32 | 1.91 | 1.90 |\n| Peppers | 7.74 | 4.36 | 3.39 |\n| Photo(Fig1) | 5.28 | 3.01 | 3.15 |",1]
["| Image | Dictionary | DCT | DWT |\n| --- | --- | --- | --- |\n| Barbara | 7.09 | 4.05 | 3.92 |\n| Boat | 6.03 | 3.63 | 3.65 |\n| Bridge | 3.70 | 2.06 | 2.20 |","| Boat | 0.8799 | 0.9005 | 0.8136 |\n| --- | --- | --- | --- |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",0]
["|  | bird | car | cat | deer | dog | frog | horse | plane | truck |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nodefense | 1.94 | 0.31 | 0.74 | 4.72 | 7.99 | 3.66 | 9.22 | 0.75 | 1.32 |","| Defensivedistill | 6.55 | 0.70 | 13.78 | 2.54 | 13.90 | 2.56 | 11.36 | 0.66 | 3.54 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Adv.retraining | 2.58 | 0.31 | 0.75 | 6.08 | 0.75 | 9.01 | 6.06 | 0.31 | 4.08 |\n| RobustOpt.+BReLU | 17.11 | 1.02 | 4.07 | 13.50 | 7.09 | 15.34 | 7.15 | 2.08 | 17.57 |\n| RSE(ours) | 12.87 | 2.61 | 12.47 | 21.47 | 31.90 | 19.09 | 9.45 | 10.21 | 22.15 |",1]
["|  | bird | car | cat | deer | dog | frog | horse | plane | truck |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nodefense | 1.94 | 0.31 | 0.74 | 4.72 | 7.99 | 3.66 | 9.22 | 0.75 | 1.32 |","| Locations | W | C | TL | TR | BL | BR |\n| --- | --- | --- | --- | --- | --- | --- |\n| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |\n| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |\n| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |\n| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",0]
["|  | bird | car | cat | deer | dog | frog | horse | plane | truck |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nodefense | 1.94 | 0.31 | 0.74 | 4.72 | 7.99 | 3.66 | 9.22 | 0.75 | 1.32 |","| Defensivedistill | 6.55 | 0.70 | 13.78 | 2.54 | 13.90 | 2.56 | 11.36 | 0.66 | 3.54 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Adv.retraining | 2.58 | 0.31 | 0.75 | 6.08 | 0.75 | 9.01 | 6.06 | 0.31 | 4.08 |\n| RobustOpt.+BReLU | 17.11 | 1.02 | 4.07 | 13.50 | 7.09 | 15.34 | 7.15 | 2.08 | 17.57 |\n| RSE(ours) | 12.87 | 2.61 | 12.47 | 21.47 | 31.90 | 19.09 | 9.45 | 10.21 | 22.15 |",1]
["|  | bird | car | cat | deer | dog | frog | horse | plane | truck |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nodefense | 1.94 | 0.31 | 0.74 | 4.72 | 7.99 | 3.66 | 9.22 | 0.75 | 1.32 |","| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |\n| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",0]
["| Attribute | Description |\n| --- | --- |\n| Totalnoofvideos | 252(train)+46(test)=298 |\n| Lengthofvideos | 0.10-14.47min |\n| Videoformat | AVI,MP4 |","| AverageImageResolution(AIR) | 607x359 |\n| --- | --- |\n| StandarddeviationofAIR | 85x11 |\n| MedianImageResolution | 640x360 |\n| Noofannotators | 6-8 |",1]
["| Attribute | Description |\n| --- | --- |\n| Totalnoofvideos | 252(train)+46(test)=298 |\n| Lengthofvideos | 0.10-14.47min |\n| Videoformat | AVI,MP4 |","|  | #ofvideos | Averageframes | Datasetlength |\n| --- | --- | --- | --- |\n| UCSDPed1 | 70 | 201 | 5min |\n| UCSDPed2 | 28 | 163 | 5min |\n| SubwayEntrance | 1 | 121,749 | 1.5hours |\n| SubwaExit | 1 | 64,901 | 1.5hours |\n| Avenue | 37 | 839 | 30min |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",0]
["| Attribute | Description |\n| --- | --- |\n| Totalnoofvideos | 252(train)+46(test)=298 |\n| Lengthofvideos | 0.10-14.47min |\n| Videoformat | AVI,MP4 |\n| AverageImageResolution(AIR) | 607x359 |\n| StandarddeviationofAIR | 85x11 |","| MedianImageResolution | 640x360 |\n| --- | --- |\n| Noofannotators | 6-8 |",1]
["| Attribute | Description |\n| --- | --- |\n| Totalnoofvideos | 252(train)+46(test)=298 |\n| Lengthofvideos | 0.10-14.47min |\n| Videoformat | AVI,MP4 |\n| AverageImageResolution(AIR) | 607x359 |\n| StandarddeviationofAIR | 85x11 |","| SubwaExit | 1 | 64,901 | 1.5hours |\n| --- | --- | --- | --- |\n| Avenue | 37 | 839 | 30min |\n| UMN | 5 | 1290 | 5min |\n| BOSS | 12 | 4052 | 27min |\n| Ours | 1900 | 7247 | 128hours |",0]
["| p1 | 47.25 | 40.54 | 11.78 | 6.43 | 7.79 | 19.85 | 35.25 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p22 | 33.88 | 19.35 | 10.57 | 4.49 | 10.23 | 14.39 | 24.58 |\n| p25 | 7.20 | 3.95 | 2.18 | 3.02 | 18.95 | 18.84 | 19.30 |\n| p28 | 24.38 | 11.23 | 4.59 | 3.54 | 9.93 | 16.17 | 26.13 |\n| p30 | 40.93 | 23.75 | 8.79 | 4.39 | 7.50 | 14.78 | 25.22 |\n| p32 | 22.82 | 11.65 | 4.23 | 2.93 | 7.64 | 14.47 | 29.31 |\n| p36 | 37.36 | 23.51 | 9.24 | 4.97 | 6.31 | 17.92 | 31.58 |\n| p38 | 3.28 | 2.10 | 1.66 | 3.41 | 11.08 | 13.59 | 28.11 |\n| p40 | 1.14 | 0.70 | 0.73 | 2.58 | 21.83 | 12.42 | 22.02 |\n| p44 | 8.26 | 4.91 | 2.19 | 2.86 | 5.56 | 14.68 | 24.89 |\n| p29 | - | 42.04 | 14.39 | 7.57 | 10.84 | 17.04 | 24.51 |\n| p37 | - | 54.63 | 19.84 | 10.17 | 7.72 | 16.90 | 30.20 |\n| p3 | - | - | 59.13 | 30.60 | 14.75 | 18.46 | 30.12 |\n| p4 | - | - | 74.71 | 37.64 | 19.45 | 15.93 | 28.38 |\n| p5 | - | - | 20.92 | 13.68 | 14.10 | 15.56 | 30.07 |\n| p13 | - | - | 24.98 | 11.93 | 8.08 | 17.00 | 32.34 |\n| p16 | - | - | 21.77 | 10.41 | 17.01 | 14.88 | 26.67 |\n| p26 | - | - | 74.81 | 29.31 | 20.45 | 17.53 | 47.11 |\n| p47 | - | - | 74.28 | 27.28 | 19.63 | 19.70 | 36.97 |\n| p6 | - | - | - | 65.66 | 34.77 | 24.18 | 36.46 |\n| p27 | - | - | - | 54.15 | 37.15 | 26.06 | 35.20 |\n| p31 | - | - | - | 45.98 | 29.36 | 21.02 | 34.28 |\n| p41 | - | - | - | 39.21 | 34.95 | 22.69 | 37.99 |\n| p43 | - | - | - | 48.02 | 25.98 | 21.56 | 37.44 |\n| p49 | - | - | - | 68.03 | 45.43 | 25.27 | 31.61 |\n| p19 | - | - | - | - | 70.09 | 49.10 | 37.02 |\n| p45 | - | - | - | - | 53.33 | 37.02 | 34.47 |\n| p46 | - | - | - | - | 68.10 | 47.13 | 37.01 |\n| p2 | - | - | - | - | - | 75.36 | 45.99 |\n| p7 | - | - | - | - | - | 51.23 | 42.21 |\n| p8 | - | - | - | - | - | 66.61 | 34.68 |\n| p20 | - | - | - | - | - | 44.77 | 33.40 |\n| p24 | - | - | - | - | - | 61.45 | 52.59 |\n| p35 | - | - | - | - | - | 59.64 | 33.55 |\n| p39 | - | - | - | - | - | 68.02 | 44.66 |\n| p42 | - | - | - | - | - | 65.57 | 42.23 |","| p15 | - | - | - | - | - | - | 57.72 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p23 | - | - | - | - | - | - | 61.63 |\n| p34 | - | - | - | - | - | - | 57.49 |",1]
["| p1 | 47.25 | 40.54 | 11.78 | 6.43 | 7.79 | 19.85 | 35.25 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p22 | 33.88 | 19.35 | 10.57 | 4.49 | 10.23 | 14.39 | 24.58 |\n| p25 | 7.20 | 3.95 | 2.18 | 3.02 | 18.95 | 18.84 | 19.30 |\n| p28 | 24.38 | 11.23 | 4.59 | 3.54 | 9.93 | 16.17 | 26.13 |\n| p30 | 40.93 | 23.75 | 8.79 | 4.39 | 7.50 | 14.78 | 25.22 |\n| p32 | 22.82 | 11.65 | 4.23 | 2.93 | 7.64 | 14.47 | 29.31 |\n| p36 | 37.36 | 23.51 | 9.24 | 4.97 | 6.31 | 17.92 | 31.58 |\n| p38 | 3.28 | 2.10 | 1.66 | 3.41 | 11.08 | 13.59 | 28.11 |\n| p40 | 1.14 | 0.70 | 0.73 | 2.58 | 21.83 | 12.42 | 22.02 |\n| p44 | 8.26 | 4.91 | 2.19 | 2.86 | 5.56 | 14.68 | 24.89 |\n| p29 | - | 42.04 | 14.39 | 7.57 | 10.84 | 17.04 | 24.51 |\n| p37 | - | 54.63 | 19.84 | 10.17 | 7.72 | 16.90 | 30.20 |\n| p3 | - | - | 59.13 | 30.60 | 14.75 | 18.46 | 30.12 |\n| p4 | - | - | 74.71 | 37.64 | 19.45 | 15.93 | 28.38 |\n| p5 | - | - | 20.92 | 13.68 | 14.10 | 15.56 | 30.07 |\n| p13 | - | - | 24.98 | 11.93 | 8.08 | 17.00 | 32.34 |\n| p16 | - | - | 21.77 | 10.41 | 17.01 | 14.88 | 26.67 |\n| p26 | - | - | 74.81 | 29.31 | 20.45 | 17.53 | 47.11 |\n| p47 | - | - | 74.28 | 27.28 | 19.63 | 19.70 | 36.97 |\n| p6 | - | - | - | 65.66 | 34.77 | 24.18 | 36.46 |\n| p27 | - | - | - | 54.15 | 37.15 | 26.06 | 35.20 |\n| p31 | - | - | - | 45.98 | 29.36 | 21.02 | 34.28 |\n| p41 | - | - | - | 39.21 | 34.95 | 22.69 | 37.99 |\n| p43 | - | - | - | 48.02 | 25.98 | 21.56 | 37.44 |\n| p49 | - | - | - | 68.03 | 45.43 | 25.27 | 31.61 |\n| p19 | - | - | - | - | 70.09 | 49.10 | 37.02 |\n| p45 | - | - | - | - | 53.33 | 37.02 | 34.47 |\n| p46 | - | - | - | - | 68.10 | 47.13 | 37.01 |\n| p2 | - | - | - | - | - | 75.36 | 45.99 |\n| p7 | - | - | - | - | - | 51.23 | 42.21 |\n| p8 | - | - | - | - | - | 66.61 | 34.68 |\n| p20 | - | - | - | - | - | 44.77 | 33.40 |\n| p24 | - | - | - | - | - | 61.45 | 52.59 |\n| p35 | - | - | - | - | - | 59.64 | 33.55 |\n| p39 | - | - | - | - | - | 68.02 | 44.66 |\n| p42 | - | - | - | - | - | 65.57 | 42.23 |","| 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |\n| 32.0 | 30.0 | 21.7 | 31.9 | 19.5 | 14.8 | 24.1 | 29.6 | 13.1 |\n| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",0]
["| p1 | 47.25 | 40.54 | 11.78 | 6.43 | 7.79 | 19.85 | 35.25 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p22 | 33.88 | 19.35 | 10.57 | 4.49 | 10.23 | 14.39 | 24.58 |\n| p25 | 7.20 | 3.95 | 2.18 | 3.02 | 18.95 | 18.84 | 19.30 |\n| p28 | 24.38 | 11.23 | 4.59 | 3.54 | 9.93 | 16.17 | 26.13 |\n| p30 | 40.93 | 23.75 | 8.79 | 4.39 | 7.50 | 14.78 | 25.22 |\n| p32 | 22.82 | 11.65 | 4.23 | 2.93 | 7.64 | 14.47 | 29.31 |\n| p36 | 37.36 | 23.51 | 9.24 | 4.97 | 6.31 | 17.92 | 31.58 |\n| p38 | 3.28 | 2.10 | 1.66 | 3.41 | 11.08 | 13.59 | 28.11 |\n| p40 | 1.14 | 0.70 | 0.73 | 2.58 | 21.83 | 12.42 | 22.02 |\n| p44 | 8.26 | 4.91 | 2.19 | 2.86 | 5.56 | 14.68 | 24.89 |\n| p29 | - | 42.04 | 14.39 | 7.57 | 10.84 | 17.04 | 24.51 |\n| p37 | - | 54.63 | 19.84 | 10.17 | 7.72 | 16.90 | 30.20 |\n| p3 | - | - | 59.13 | 30.60 | 14.75 | 18.46 | 30.12 |\n| p4 | - | - | 74.71 | 37.64 | 19.45 | 15.93 | 28.38 |\n| p5 | - | - | 20.92 | 13.68 | 14.10 | 15.56 | 30.07 |\n| p13 | - | - | 24.98 | 11.93 | 8.08 | 17.00 | 32.34 |\n| p16 | - | - | 21.77 | 10.41 | 17.01 | 14.88 | 26.67 |\n| p26 | - | - | 74.81 | 29.31 | 20.45 | 17.53 | 47.11 |\n| p47 | - | - | 74.28 | 27.28 | 19.63 | 19.70 | 36.97 |\n| p6 | - | - | - | 65.66 | 34.77 | 24.18 | 36.46 |\n| p27 | - | - | - | 54.15 | 37.15 | 26.06 | 35.20 |\n| p31 | - | - | - | 45.98 | 29.36 | 21.02 | 34.28 |\n| p41 | - | - | - | 39.21 | 34.95 | 22.69 | 37.99 |\n| p43 | - | - | - | 48.02 | 25.98 | 21.56 | 37.44 |\n| p49 | - | - | - | 68.03 | 45.43 | 25.27 | 31.61 |\n| p19 | - | - | - | - | 70.09 | 49.10 | 37.02 |\n| p45 | - | - | - | - | 53.33 | 37.02 | 34.47 |\n| p46 | - | - | - | - | 68.10 | 47.13 | 37.01 |\n| p2 | - | - | - | - | - | 75.36 | 45.99 |\n| p7 | - | - | - | - | - | 51.23 | 42.21 |","| p8 | - | - | - | - | - | 66.61 | 34.68 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p20 | - | - | - | - | - | 44.77 | 33.40 |\n| p24 | - | - | - | - | - | 61.45 | 52.59 |\n| p35 | - | - | - | - | - | 59.64 | 33.55 |\n| p39 | - | - | - | - | - | 68.02 | 44.66 |\n| p42 | - | - | - | - | - | 65.57 | 42.23 |\n| p15 | - | - | - | - | - | - | 57.72 |\n| p23 | - | - | - | - | - | - | 61.63 |\n| p34 | - | - | - | - | - | - | 57.49 |",1]
["| p1 | 47.25 | 40.54 | 11.78 | 6.43 | 7.79 | 19.85 | 35.25 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| p22 | 33.88 | 19.35 | 10.57 | 4.49 | 10.23 | 14.39 | 24.58 |\n| p25 | 7.20 | 3.95 | 2.18 | 3.02 | 18.95 | 18.84 | 19.30 |\n| p28 | 24.38 | 11.23 | 4.59 | 3.54 | 9.93 | 16.17 | 26.13 |\n| p30 | 40.93 | 23.75 | 8.79 | 4.39 | 7.50 | 14.78 | 25.22 |\n| p32 | 22.82 | 11.65 | 4.23 | 2.93 | 7.64 | 14.47 | 29.31 |\n| p36 | 37.36 | 23.51 | 9.24 | 4.97 | 6.31 | 17.92 | 31.58 |\n| p38 | 3.28 | 2.10 | 1.66 | 3.41 | 11.08 | 13.59 | 28.11 |\n| p40 | 1.14 | 0.70 | 0.73 | 2.58 | 21.83 | 12.42 | 22.02 |\n| p44 | 8.26 | 4.91 | 2.19 | 2.86 | 5.56 | 14.68 | 24.89 |\n| p29 | - | 42.04 | 14.39 | 7.57 | 10.84 | 17.04 | 24.51 |\n| p37 | - | 54.63 | 19.84 | 10.17 | 7.72 | 16.90 | 30.20 |\n| p3 | - | - | 59.13 | 30.60 | 14.75 | 18.46 | 30.12 |\n| p4 | - | - | 74.71 | 37.64 | 19.45 | 15.93 | 28.38 |\n| p5 | - | - | 20.92 | 13.68 | 14.10 | 15.56 | 30.07 |\n| p13 | - | - | 24.98 | 11.93 | 8.08 | 17.00 | 32.34 |\n| p16 | - | - | 21.77 | 10.41 | 17.01 | 14.88 | 26.67 |\n| p26 | - | - | 74.81 | 29.31 | 20.45 | 17.53 | 47.11 |\n| p47 | - | - | 74.28 | 27.28 | 19.63 | 19.70 | 36.97 |\n| p6 | - | - | - | 65.66 | 34.77 | 24.18 | 36.46 |\n| p27 | - | - | - | 54.15 | 37.15 | 26.06 | 35.20 |\n| p31 | - | - | - | 45.98 | 29.36 | 21.02 | 34.28 |\n| p41 | - | - | - | 39.21 | 34.95 | 22.69 | 37.99 |\n| p43 | - | - | - | 48.02 | 25.98 | 21.56 | 37.44 |\n| p49 | - | - | - | 68.03 | 45.43 | 25.27 | 31.61 |\n| p19 | - | - | - | - | 70.09 | 49.10 | 37.02 |\n| p45 | - | - | - | - | 53.33 | 37.02 | 34.47 |\n| p46 | - | - | - | - | 68.10 | 47.13 | 37.01 |\n| p2 | - | - | - | - | - | 75.36 | 45.99 |\n| p7 | - | - | - | - | - | 51.23 | 42.21 |","| 32.0 | 30.0 | 21.7 | 31.9 | 19.5 | 14.8 | 24.1 | 29.6 | 13.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",0]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |\n| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |","| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |\n| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",1]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |\n| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |","| Model | NDCG@1 | NDCG@3 | MAP@1 | MAP@3 |\n| --- | --- | --- | --- | --- |\n| Fuzzy | 0.535 | 0.576 | 0.087 | 0.144 |\n| E-RNN | 0.617 | 0.636 | 0.094 | 0.159 |\n| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |\n| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |\n| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |\n| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |\n| NB | 0.619 | 0.611 | 0.092 | 0.151 |\n| SVM | 0.620 | 0.646 | 0.096 | 0.156 |\n| LSA | 0.639 | 0.651 | 0.096 | 0.153 |\n| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |\n| TextRank | 0.629 | 0.645 | 0.095 | 0.153 |",0]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |","| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |\n| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |\n| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |\n| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",1]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |","| LSA | 0.639 | 0.651 | 0.096 | 0.153 |\n| --- | --- | --- | --- | --- |\n| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |\n| TextRank | 0.629 | 0.645 | 0.095 | 0.153 |",0]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| 2 | 5090 | 7851 | 41515 | 37 |\n| --- | --- | --- | --- | --- |\n| 3 | 5031 | 7730 | 40544 | 39 |\n| 4 | 4417 | 6671 | 35253 | 41 |",1]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |\n| 2 | 5090 | 7851 | 41515 | 37 |\n| 3 | 5031 | 7730 | 40544 | 39 |\n| 4 | 4417 | 6671 | 35253 | 41 |",0]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| 2 | 5090 | 7851 | 41515 | 37 |\n| --- | --- | --- | --- | --- |\n| 3 | 5031 | 7730 | 40544 | 39 |\n| 4 | 4417 | 6671 | 35253 | 41 |",1]
["| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |","| 3 | 5031 | 7730 | 40544 | 39 |\n| --- | --- | --- | --- | --- |\n| 4 | 4417 | 6671 | 35253 | 41 |",0]
["| Model | Evaluation |  |  |\n| --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |","| SVR-RBF | 6.8 | 3.2 | 0.02 | 0.84 |\n| --- | --- | --- | --- | --- |\n| SVR-L | 6.9 | 3.3 | 0.004 | 0.83 |\n| LASSO@0.25 | 7.6 | 4.9 | 0.08 | 0.81 |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",1]
["| Model | Evaluation |  |  |\n| --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |","| Model | Evaluation |  |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |  |\n| SVR-RBF | 6.8 | 3.2 | 0.03 | 0.84 |\n| LASSO@1 | 7.9 | 5.2 | 0.05 | 0.80 |\n| LASSO@0.5 | 7.7 | 4.9 | 0.09 | 0.80 |\n| LASSO@0.25 | 7.6 | 4.8 | 0.10 | 0.79 |\n| LASSO@0.125 | 7.5 | 4.7 | 0.11 | 0.79 |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",0]
["| Model | Evaluation |  |  |\n| --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |","| SVR-RBF | 6.8 | 3.2 | 0.02 | 0.84 |\n| --- | --- | --- | --- | --- |\n| SVR-L | 6.9 | 3.3 | 0.004 | 0.83 |\n| LASSO@0.25 | 7.6 | 4.9 | 0.08 | 0.81 |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",1]
["| Model | Evaluation |  |  |\n| --- | --- | --- | --- |\n| MAE | MedAE | R | Acc.@10 |","| LASSO@0.25 | 7.6 | 4.8 | 0.10 | 0.79 |\n| --- | --- | --- | --- | --- |\n| LASSO@0.125 | 7.5 | 4.7 | 0.11 | 0.79 |\n| Baseline(mean) | 8.1 | 5.8 | 0.0 | 0.81 |",0]
["| Figure | a | b | γ | Initialcondition | No.oftrials/<br>samples |\n| --- | --- | --- | --- | --- | --- |\n| ?? | 4 | - | - | 0.1 | 100samples |\n| ?? | - | - | - | - | 100samples |\n| ?? | 4 | - | - | 0.1 | 5,000samples |\n| ?? | - | - | - | - | 5,000samples |\n| ?? | 0to4 | - | - | 0.1 | 250samples |\n| ?? | 2.0to2.4 | - | - | 0.5 | 250samples |\n| ?? | 0to2 | - | - | 0.1 | 250samples |\n| ?? | 3.74 | - | - | 0.1 | 100samples |\n| ?? | 3.74 | - | - | 0.1 | 50,000samples |\n| ?? | 4 | - | - | 0.1 | 50,000samples |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 4 | - | 0to1step0.1 | 0to1step0.01 | 5,000trials |","| ?? | 2.27 | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| --- | --- | --- | --- | --- | --- |\n| ?? | 1.9 | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | - | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | sameasbelow | sameasbelow | 0to1step0.1 | sameasbelow | 5,000trials |\n| ??<br>Logistic<br>Sinusoidal<br>Tent<br>Gaussian<br>Henon<br>Lozi | -<br>4<br>2.27<br>1.9<br>-<br>1.7<br>1.7 | -<br>-<br>-<br>-<br>-<br>0<br>0 | -<br>0.50<br>0.55<br>0.55<br>0.41<br>0.68<br>0.55 | -<br>0.1<br>0.5<br>0.8<br>0.701<br>[x,y]=[0,0]<br>[x,y]=[0,0] | -<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials |",1]
["| Figure | a | b | γ | Initialcondition | No.oftrials/<br>samples |\n| --- | --- | --- | --- | --- | --- |\n| ?? | 4 | - | - | 0.1 | 100samples |\n| ?? | - | - | - | - | 100samples |\n| ?? | 4 | - | - | 0.1 | 5,000samples |\n| ?? | - | - | - | - | 5,000samples |\n| ?? | 0to4 | - | - | 0.1 | 250samples |\n| ?? | 2.0to2.4 | - | - | 0.5 | 250samples |\n| ?? | 0to2 | - | - | 0.1 | 250samples |\n| ?? | 3.74 | - | - | 0.1 | 100samples |\n| ?? | 3.74 | - | - | 0.1 | 50,000samples |\n| ?? | 4 | - | - | 0.1 | 50,000samples |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 4 | - | 0to1step0.1 | 0to1step0.01 | 5,000trials |","| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |\n| 31.17 | 30.67 | 31.61 | 30.80 | 32.53 | 32.07 | 30.91 | 29.24 | 31.20 |\n| 46.38 | 45.79 | 45.88 | 42.04 | 45.20 | 45.23 | 44.42 | 43.56 | 40.40 |\n| 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |\n| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 |",0]
["| Figure | a | b | γ | Initialcondition | No.oftrials/<br>samples |\n| --- | --- | --- | --- | --- | --- |\n| ?? | 4 | - | - | 0.1 | 100samples |\n| ?? | - | - | - | - | 100samples |\n| ?? | 4 | - | - | 0.1 | 5,000samples |\n| ?? | - | - | - | - | 5,000samples |\n| ?? | 0to4 | - | - | 0.1 | 250samples |\n| ?? | 2.0to2.4 | - | - | 0.5 | 250samples |","| ?? | 0to2 | - | - | 0.1 | 250samples |\n| --- | --- | --- | --- | --- | --- |\n| ?? | 3.74 | - | - | 0.1 | 100samples |\n| ?? | 3.74 | - | - | 0.1 | 50,000samples |\n| ?? | 4 | - | - | 0.1 | 50,000samples |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 4 | - | 0to1step0.1 | 0to1step0.01 | 5,000trials |\n| ?? | 2.27 | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.9 | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | - | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | sameasbelow | sameasbelow | 0to1step0.1 | sameasbelow | 5,000trials |\n| ??<br>Logistic<br>Sinusoidal<br>Tent<br>Gaussian<br>Henon<br>Lozi | -<br>4<br>2.27<br>1.9<br>-<br>1.7<br>1.7 | -<br>-<br>-<br>-<br>-<br>0<br>0 | -<br>0.50<br>0.55<br>0.55<br>0.41<br>0.68<br>0.55 | -<br>0.1<br>0.5<br>0.8<br>0.701<br>[x,y]=[0,0]<br>[x,y]=[0,0] | -<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials |",1]
["| Figure | a | b | γ | Initialcondition | No.oftrials/<br>samples |\n| --- | --- | --- | --- | --- | --- |\n| ?? | 4 | - | - | 0.1 | 100samples |\n| ?? | - | - | - | - | 100samples |\n| ?? | 4 | - | - | 0.1 | 5,000samples |\n| ?? | - | - | - | - | 5,000samples |\n| ?? | 0to4 | - | - | 0.1 | 250samples |\n| ?? | 2.0to2.4 | - | - | 0.5 | 250samples |","| 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| n | g(n) | g(n)f | g(n)/g(n)f |\n| --- | --- | --- | --- |\n| 10 | 17 | 8 | 0.470588 |\n| 20 | 244 | 81 | 0.331967 |\n| 30 | 2136 | 586 | 0.274345 |\n| 40 | 14048 | 3308 | 0.235478 |\n| 50 | 76104 | 15748 | 0.206927 |\n| 60 | 357635 | 66843 | 0.186903 |","| 70 | 1503172 | 256347 | 0.170537 |\n| --- | --- | --- | --- |\n| 80 | 5777292 | 909945 | 0.157504 |\n| 90 | 20614755 | 3026907 | 0.146832 |\n| 100 | 69065657 | 9512939 | 0.137738 |\n| 110 | 219186741 | 28504221 | 0.130045 |\n| 120 | 663394137 | 81823499 | 0.123341 |\n| 130 | 1925513465 | 226224550 | 0.117488 |\n| 140 | 5383833857 | 604601758 | 0.112299 |\n| 150 | 14555902348 | 1567370784 | 0.107679 |\n| 160 | 38173235010 | 3951974440 | 0.103527 |\n| 170 | 97368672089 | 9714690421 | 0.099772 |",1]
["| n | g(n) | g(n)f | g(n)/g(n)f |\n| --- | --- | --- | --- |\n| 10 | 17 | 8 | 0.470588 |\n| 20 | 244 | 81 | 0.331967 |\n| 30 | 2136 | 586 | 0.274345 |\n| 40 | 14048 | 3308 | 0.235478 |\n| 50 | 76104 | 15748 | 0.206927 |\n| 60 | 357635 | 66843 | 0.186903 |","| n | D(n) | D(n)f | D(n)/D(n)f |\n| --- | --- | --- | --- |\n| 4 | 7 | 6 | 0.857143 |\n| 5 | 20 | 18 | 0.900000 |\n| 6 | 71 | 63 | 0.887324 |\n| 7 | 240 | 216 | 0.900000 |\n| 8 | 871 | 783 | 0.898967 |\n| 9 | 3148 | 2843 | 0.903113 |\n| 10 | 11655 | 10535 | 0.903904 |\n| 11 | 43332 | 39232 | 0.905382 |\n| 12 | 162769 | 147457 | 0.905928 |\n| 13 | 614198 | 556859 | 0.906644 |\n| 14 | 2330537 | 2113982 | 0.907079 |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",0]
["| n | g(n) | g(n)f | g(n)/g(n)f |\n| --- | --- | --- | --- |\n| 10 | 17 | 8 | 0.470588 |\n| 20 | 244 | 81 | 0.331967 |\n| 30 | 2136 | 586 | 0.274345 |\n| 40 | 14048 | 3308 | 0.235478 |\n| 50 | 76104 | 15748 | 0.206927 |\n| 60 | 357635 | 66843 | 0.186903 |\n| 70 | 1503172 | 256347 | 0.170537 |\n| 80 | 5777292 | 909945 | 0.157504 |\n| 90 | 20614755 | 3026907 | 0.146832 |\n| 100 | 69065657 | 9512939 | 0.137738 |\n| 110 | 219186741 | 28504221 | 0.130045 |\n| 120 | 663394137 | 81823499 | 0.123341 |\n| 130 | 1925513465 | 226224550 | 0.117488 |\n| 140 | 5383833857 | 604601758 | 0.112299 |","| 150 | 14555902348 | 1567370784 | 0.107679 |\n| --- | --- | --- | --- |\n| 160 | 38173235010 | 3951974440 | 0.103527 |\n| 170 | 97368672089 | 9714690421 | 0.099772 |",1]
["| n | g(n) | g(n)f | g(n)/g(n)f |\n| --- | --- | --- | --- |\n| 10 | 17 | 8 | 0.470588 |\n| 20 | 244 | 81 | 0.331967 |\n| 30 | 2136 | 586 | 0.274345 |\n| 40 | 14048 | 3308 | 0.235478 |\n| 50 | 76104 | 15748 | 0.206927 |\n| 60 | 357635 | 66843 | 0.186903 |\n| 70 | 1503172 | 256347 | 0.170537 |\n| 80 | 5777292 | 909945 | 0.157504 |\n| 90 | 20614755 | 3026907 | 0.146832 |\n| 100 | 69065657 | 9512939 | 0.137738 |\n| 110 | 219186741 | 28504221 | 0.130045 |\n| 120 | 663394137 | 81823499 | 0.123341 |\n| 130 | 1925513465 | 226224550 | 0.117488 |\n| 140 | 5383833857 | 604601758 | 0.112299 |","| 11 | 43332 | 39232 | 0.905382 |\n| --- | --- | --- | --- |\n| 12 | 162769 | 147457 | 0.905928 |\n| 13 | 614198 | 556859 | 0.906644 |\n| 14 | 2330537 | 2113982 | 0.907079 |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",0]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |","| a2 | 5,2 | 7,7 | 5,2 | 0,1 |\n| --- | --- | --- | --- | --- |\n| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",1]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |","|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |\n| a2 | 5,2 | 3,3 | 5,2 | 0,1 |\n| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",0]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |\n| a2 | 5,2 | 7,7 | 5,2 | 0,1 |","| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| --- | --- | --- | --- | --- |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",1]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |\n| a2 | 5,2 | 7,7 | 5,2 | 0,1 |","| a2 | 5,2 | 3,3 | 5,2 | 0,1 |\n| --- | --- | --- | --- | --- |\n| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |","| MicrosoftSQLServer | 36.10 | 286.50 | 2764.80 |\n| --- | --- | --- | --- |\n| MySQL | 87.7 | 1264 | 10620.5 |\n| PostgreSQL | 77.3 | 2385.2 | 25421.5 |\n| MongoDB | 17.3 | 265.4 | 2875.9 |\n| CouchDB | 1.56 | 18.64 | 266.68 |\n| Couchbase | 73.16 | 731.39 | 10414.85 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |","| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 127 | 482.90 | 5715.4 |\n| MySQL | 78.3 | 825.8 | 18794.4 |\n| PostgreSQL | 35.5 | 582.6 | 11479.8 |\n| MongoDB | 9 | 133.8 | 1530.9 |\n| CouchDB | 1.19 | 15.57 | 132.7 |\n| Couchbase | 39.37 | 405.57 | 6579.23 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 36.10 | 286.50 | 2764.80 |\n| MySQL | 87.7 | 1264 | 10620.5 |\n| PostgreSQL | 77.3 | 2385.2 | 25421.5 |","| MongoDB | 17.3 | 265.4 | 2875.9 |\n| --- | --- | --- | --- |\n| CouchDB | 1.56 | 18.64 | 266.68 |\n| Couchbase | 73.16 | 731.39 | 10414.85 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 36.10 | 286.50 | 2764.80 |\n| MySQL | 87.7 | 1264 | 10620.5 |\n| PostgreSQL | 77.3 | 2385.2 | 25421.5 |","| MicrosoftSQLServer | 127 | 482.90 | 5715.4 |\n| --- | --- | --- | --- |\n| MySQL | 78.3 | 825.8 | 18794.4 |\n| PostgreSQL | 35.5 | 582.6 | 11479.8 |\n| MongoDB | 9 | 133.8 | 1530.9 |\n| CouchDB | 1.19 | 15.57 | 132.7 |\n| Couchbase | 39.37 | 405.57 | 6579.23 |",0]
["| Instruction | SynapseDrivingVoltage | FeedbackVoltage(F) |\n| --- | --- | --- |\n| FF | Forward-Float | None/Floating |\n| FH | Forward-High | −V |\n| FL | Forward-Low | +V |\n| FU | Forward-Unsupervised | −Vify≥0else+V |\n| FA | Forward-Anti-Unsupervised | +Vify≥0else−V |\n| FZ | Forward-Zero | 0 |\n| RF | Reverse-Float | None/Floating |\n| RH | Reverse-High | −V |","| RL | Reverse-Low | +V |\n| --- | --- | --- |\n| RU | Reverse-Unsupervised | −Vify≥0else+V |\n| RA | Reverse-Anti-Unsupervised | +Vify≥0else−V |\n| RZ | Reverse-Zero | 0 |",1]
["| Instruction | SynapseDrivingVoltage | FeedbackVoltage(F) |\n| --- | --- | --- |\n| FF | Forward-Float | None/Floating |\n| FH | Forward-High | −V |\n| FL | Forward-Low | +V |\n| FU | Forward-Unsupervised | −Vify≥0else+V |\n| FA | Forward-Anti-Unsupervised | +Vify≥0else−V |\n| FZ | Forward-Zero | 0 |\n| RF | Reverse-Float | None/Floating |\n| RH | Reverse-High | −V |","| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| Instruction | SynapseDrivingVoltage | FeedbackVoltage(F) |\n| --- | --- | --- |\n| FF | Forward-Float | None/Floating |\n| FH | Forward-High | −V |\n| FL | Forward-Low | +V |\n| FU | Forward-Unsupervised | −Vify≥0else+V |\n| FA | Forward-Anti-Unsupervised | +Vify≥0else−V |","| FZ | Forward-Zero | 0 |\n| --- | --- | --- |\n| RF | Reverse-Float | None/Floating |\n| RH | Reverse-High | −V |\n| RL | Reverse-Low | +V |\n| RU | Reverse-Unsupervised | −Vify≥0else+V |\n| RA | Reverse-Anti-Unsupervised | +Vify≥0else−V |\n| RZ | Reverse-Zero | 0 |",1]
["| Instruction | SynapseDrivingVoltage | FeedbackVoltage(F) |\n| --- | --- | --- |\n| FF | Forward-Float | None/Floating |\n| FH | Forward-High | −V |\n| FL | Forward-Low | +V |\n| FU | Forward-Unsupervised | −Vify≥0else+V |\n| FA | Forward-Anti-Unsupervised | +Vify≥0else−V |","| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| --- | --- | --- | --- |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| TaskDom | #Tr#De#Te | #Ft |\n| --- | --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 52,9986,6256,626<br>38,0734,7594,761<br>44,3645,5465,547<br>35,8834,4854,487<br>35,0834,3854,387<br>39,6774,9604,961 | 80k<br>109k<br>113k<br>109k<br>96k<br>54k |\n| CoNLL-src<br>NERtgt | 256,145--<br>29,7915,2588,806 | 368k<br>88k |","| PubMed-src<br>POStgt | 950,028--<br>11,2641,98714,554 | 571k<br>39k |\n| --- | --- | --- |\n| CNN-src<br>Recaptgt | 2,000,000--<br>39,6847,0038,075 | 368k<br>88k |\n| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 191,20929,45538,440<br>45,2825,59641,840<br>58,2018,3077,607<br>67,4299,4446,897<br>51,3796,0619,451<br>47,3825,1015,880<br>11,6961,3241,594<br>56,0576,7517,847<br>55,3187,4775,977<br>16,7422,5222,712 | 94k<br>55k<br>144k<br>149k<br>121k<br>95k<br>51k<br>115k<br>112k<br>65k |",1]
["| TaskDom | #Tr#De#Te | #Ft |\n| --- | --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 52,9986,6256,626<br>38,0734,7594,761<br>44,3645,5465,547<br>35,8834,4854,487<br>35,0834,3854,387<br>39,6774,9604,961 | 80k<br>109k<br>113k<br>109k<br>96k<br>54k |\n| CoNLL-src<br>NERtgt | 256,145--<br>29,7915,2588,806 | 368k<br>88k |","| TaskDom |  |\n| --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 |\n| CoNLLtgt | 2.492.951.801.752.131.771.891.76 |\n| PubMedtgt | 12.024.155.434.154.143.953.993.61 |\n| CNNtgt | 10.293.823.673.453.463.443.353.37 |\n| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 6.634.354.334.304.324.324.274.11<br>15.904.154.504.104.134.093.603.51<br>5.166.274.854.804.784.725.225.15<br>4.325.364.164.154.274.304.254.90<br>5.056.325.054.985.015.055.275.41<br>5.666.605.425.395.395.535.995.73<br>3.576.593.143.113.153.314.084.89<br>4.605.564.274.224.204.194.484.42<br>4.825.624.634.574.554.554.874.78<br>5.789.135.715.195.205.156.716.30 |\n| Treebank-brown | 6.355.754.804.754.814.724.724.65 |",0]
["| TaskDom | #Tr#De#Te | #Ft |\n| --- | --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 52,9986,6256,626<br>38,0734,7594,761<br>44,3645,5465,547<br>35,8834,4854,487<br>35,0834,3854,387<br>39,6774,9604,961 | 80k<br>109k<br>113k<br>109k<br>96k<br>54k |","| CoNLL-src<br>NERtgt | 256,145--<br>29,7915,2588,806 | 368k<br>88k |\n| --- | --- | --- |\n| PubMed-src<br>POStgt | 950,028--<br>11,2641,98714,554 | 571k<br>39k |\n| CNN-src<br>Recaptgt | 2,000,000--<br>39,6847,0038,075 | 368k<br>88k |\n| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 191,20929,45538,440<br>45,2825,59641,840<br>58,2018,3077,607<br>67,4299,4446,897<br>51,3796,0619,451<br>47,3825,1015,880<br>11,6961,3241,594<br>56,0576,7517,847<br>55,3187,4775,977<br>16,7422,5222,712 | 94k<br>55k<br>144k<br>149k<br>121k<br>95k<br>51k<br>115k<br>112k<br>65k |",1]
["| TaskDom | #Tr#De#Te | #Ft |\n| --- | --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 52,9986,6256,626<br>38,0734,7594,761<br>44,3645,5465,547<br>35,8834,4854,487<br>35,0834,3854,387<br>39,6774,9604,961 | 80k<br>109k<br>113k<br>109k<br>96k<br>54k |","| PubMedtgt | 12.024.155.434.154.143.953.993.61 |\n| --- | --- |\n| CNNtgt | 10.293.823.673.453.463.443.353.37 |\n| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 6.634.354.334.304.324.324.274.11<br>15.904.154.504.104.134.093.603.51<br>5.166.274.854.804.784.725.225.15<br>4.325.364.164.154.274.304.254.90<br>5.056.325.054.985.015.055.275.41<br>5.666.605.425.395.395.535.995.73<br>3.576.593.143.113.153.314.084.89<br>4.605.564.274.224.204.194.484.42<br>4.825.624.634.574.554.554.874.78<br>5.789.135.715.195.205.156.716.30 |\n| Treebank-brown | 6.355.754.804.754.814.724.724.65 |",0]
["| Class | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 88 | 85 | 91 | 90 | 91 | 100 | 100 | 95 | 83 | 83 | 71 | 70 | 96 | 75 |\n| 2. | 53 | 70 | 88 | 90 | 100 | 100 | 100 | 100 | 83 | 71 | 63 | 63 | 87 | 47 |","| 3 | 29 | 75 | 91 | 90 | 75 | 100 | 100 | 100 | 50 | 46 | 55 | 44 | 96 | 32 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Class | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 |  |\n| 1 | 71 | 84 | 70 | 95 | 95 | 85 | 76 | 90 | 80 | 70 | 77 | 100 | 80 |  |\n| 2 | 59 | 72 | 59 | 85 | 95 | 95 | 66 | 95 | 45 | 40 | 69 | 100 | 78 |  |\n| 3 | 49 | 75 | 49 | 55 | 90 | 90 | 69 | 95 | 15 | 50 | 72 | 100 | 83 |  |",1]
["| Class | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 88 | 85 | 91 | 90 | 91 | 100 | 100 | 95 | 83 | 83 | 71 | 70 | 96 | 75 |\n| 2. | 53 | 70 | 88 | 90 | 100 | 100 | 100 | 100 | 83 | 71 | 63 | 63 | 87 | 47 |","| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| Class | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 88 | 85 | 91 | 90 | 91 | 100 | 100 | 95 | 83 | 83 | 71 | 70 | 96 | 75 |\n| 2. | 53 | 70 | 88 | 90 | 100 | 100 | 100 | 100 | 83 | 71 | 63 | 63 | 87 | 47 |\n| 3 | 29 | 75 | 91 | 90 | 75 | 100 | 100 | 100 | 50 | 46 | 55 | 44 | 96 | 32 |\n| Class | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 |  |\n| 1 | 71 | 84 | 70 | 95 | 95 | 85 | 76 | 90 | 80 | 70 | 77 | 100 | 80 |  |","| 2 | 59 | 72 | 59 | 85 | 95 | 95 | 66 | 95 | 45 | 40 | 69 | 100 | 78 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 49 | 75 | 49 | 55 | 90 | 90 | 69 | 95 | 15 | 50 | 72 | 100 | 83 |  |",1]
["| Class | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 88 | 85 | 91 | 90 | 91 | 100 | 100 | 95 | 83 | 83 | 71 | 70 | 96 | 75 |\n| 2. | 53 | 70 | 88 | 90 | 100 | 100 | 100 | 100 | 83 | 71 | 63 | 63 | 87 | 47 |\n| 3 | 29 | 75 | 91 | 90 | 75 | 100 | 100 | 100 | 50 | 46 | 55 | 44 | 96 | 32 |\n| Class | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 |  |\n| 1 | 71 | 84 | 70 | 95 | 95 | 85 | 76 | 90 | 80 | 70 | 77 | 100 | 80 |  |","| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| λ | SQ(2)<br>Avg | JIQ<br>z=1<br>Avg | JIQ-<br>Random<br>Avg | SQ(2)<br>Var | JIQ<br>z=1<br>Var | JIQ-<br>Random<br>Var |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.50 | 1.26572 | 1.19356 | 1.12886 | 1.49234 | 1.39094 | 1.26742 |\n| 0.60 | 1.40747 | 1.28239 | 1.17987 | 1.74541 | 1.56715 | 1.37965 |\n| 0.70 | 1.61446 | 1.40813 | 1.25888 | 2.11398 | 1.81205 | 1.56210 |\n| 0.80 | 1.94744 | 1.59780 | 1.40787 | 2.70517 | 2.17632 | 1.93743 |\n| 0.90 | 2.61442 | 1.94387 | 1.83712 | 3.86808 | 2.86939 | 3.26202 |\n| 0.95 | 3.38375 | 2.33613 | 2.68138 | 5.14687 | 3.81179 | 6.94056 |","| 0.96 | 3.64960 | 2.48165 | 3.10314 | 5.56989 | 4.22673 | 9.31200 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.97 | 4.00222 | 2.69113 | 3.80509 | 6.11533 | 4.89627 | 14.0488 |\n| 0.98 | 4.51796 | 3.04536 | 5.20555 | 6.88176 | 6.23157 | 26.4497 |\n| 0.99 | 5.43592 | 3.91664 | 9.40217 | 8.16057 | 10.6235 | 87.1031 |",1]
["| λ | SQ(2)<br>Avg | JIQ<br>z=1<br>Avg | JIQ-<br>Random<br>Avg | SQ(2)<br>Var | JIQ<br>z=1<br>Var | JIQ-<br>Random<br>Var |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.50 | 1.26572 | 1.19356 | 1.12886 | 1.49234 | 1.39094 | 1.26742 |\n| 0.60 | 1.40747 | 1.28239 | 1.17987 | 1.74541 | 1.56715 | 1.37965 |\n| 0.70 | 1.61446 | 1.40813 | 1.25888 | 2.11398 | 1.81205 | 1.56210 |\n| 0.80 | 1.94744 | 1.59780 | 1.40787 | 2.70517 | 2.17632 | 1.93743 |\n| 0.90 | 2.61442 | 1.94387 | 1.83712 | 3.86808 | 2.86939 | 3.26202 |\n| 0.95 | 3.38375 | 2.33613 | 2.68138 | 5.14687 | 3.81179 | 6.94056 |","| λ | Sims<br>z=1 | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.19356 | 1.19369 | 1.12886 |\n| 0.60 | 1.28239 | 1.28254 | 1.17987 |\n| 0.70 | 1.40813 | 1.40828 | 1.25888 |\n| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |\n| 0.95 | 2.33613 | 2.33539 | 2.68138 |\n| 0.96 | 2.48165 | 2.48041 | 3.10314 |\n| 0.97 | 2.69113 | 2.68903 | 3.80509 |\n| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",0]
["| λ | SQ(2)<br>Avg | JIQ<br>z=1<br>Avg | JIQ-<br>Random<br>Avg | SQ(2)<br>Var | JIQ<br>z=1<br>Var | JIQ-<br>Random<br>Var |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.50 | 1.26572 | 1.19356 | 1.12886 | 1.49234 | 1.39094 | 1.26742 |\n| 0.60 | 1.40747 | 1.28239 | 1.17987 | 1.74541 | 1.56715 | 1.37965 |\n| 0.70 | 1.61446 | 1.40813 | 1.25888 | 2.11398 | 1.81205 | 1.56210 |\n| 0.80 | 1.94744 | 1.59780 | 1.40787 | 2.70517 | 2.17632 | 1.93743 |\n| 0.90 | 2.61442 | 1.94387 | 1.83712 | 3.86808 | 2.86939 | 3.26202 |\n| 0.95 | 3.38375 | 2.33613 | 2.68138 | 5.14687 | 3.81179 | 6.94056 |\n| 0.96 | 3.64960 | 2.48165 | 3.10314 | 5.56989 | 4.22673 | 9.31200 |","| 0.97 | 4.00222 | 2.69113 | 3.80509 | 6.11533 | 4.89627 | 14.0488 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.98 | 4.51796 | 3.04536 | 5.20555 | 6.88176 | 6.23157 | 26.4497 |\n| 0.99 | 5.43592 | 3.91664 | 9.40217 | 8.16057 | 10.6235 | 87.1031 |",1]
["| λ | SQ(2)<br>Avg | JIQ<br>z=1<br>Avg | JIQ-<br>Random<br>Avg | SQ(2)<br>Var | JIQ<br>z=1<br>Var | JIQ-<br>Random<br>Var |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.50 | 1.26572 | 1.19356 | 1.12886 | 1.49234 | 1.39094 | 1.26742 |\n| 0.60 | 1.40747 | 1.28239 | 1.17987 | 1.74541 | 1.56715 | 1.37965 |\n| 0.70 | 1.61446 | 1.40813 | 1.25888 | 2.11398 | 1.81205 | 1.56210 |\n| 0.80 | 1.94744 | 1.59780 | 1.40787 | 2.70517 | 2.17632 | 1.93743 |\n| 0.90 | 2.61442 | 1.94387 | 1.83712 | 3.86808 | 2.86939 | 3.26202 |\n| 0.95 | 3.38375 | 2.33613 | 2.68138 | 5.14687 | 3.81179 | 6.94056 |\n| 0.96 | 3.64960 | 2.48165 | 3.10314 | 5.56989 | 4.22673 | 9.31200 |","| 0.80 | 1.59780 | 1.59796 | 1.40787 |\n| --- | --- | --- | --- |\n| 0.90 | 1.94387 | 1.94377 | 1.83712 |\n| 0.95 | 2.33613 | 2.33539 | 2.68138 |\n| 0.96 | 2.48165 | 2.48041 | 3.10314 |\n| 0.97 | 2.69113 | 2.68903 | 3.80509 |\n| 0.98 | 3.04536 | 3.04146 | 5.20555 |\n| 0.99 | 3.91664 | 3.90627 | 9.40217 |",0]
["|  | Activities | Units | Segments | Clips | Duration | Setting | Persons |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |\n| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |\n| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |\n| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |\n| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |\n| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |","| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |\n| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 |",1]
["|  | Activities | Units | Segments | Clips | Duration | Setting | Persons |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |\n| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |\n| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |\n| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |\n| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |\n| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |","|  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bonefull | 95 | 70 | 85 | 85 | 90 | 85 | 85 | 85 | 70 | 75 |\n| Heart | 100 | 100 | 100 | 100 | 100 | 100 | 95 | 95 | 95 | 100 |\n| Glas | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 90 | 100 | 95 |\n| Fountain | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| Key | 100 | 100 | 95 | 100 | 95 | 95 | 90 | 90 | 95 | 95 |\n| Fork | 95 | 90 | 65 | 70 | 65 | 75 | 65 | 75 | 70 | 60 |\n| Hammerfull | 95 | 95 | 80 | 30 | 30 | 35 | 30 | 40 | 35 | 15 |",0]
["|  | Activities | Units | Segments | Clips | Duration | Setting | Persons |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |\n| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |\n| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |\n| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |\n| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |\n| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |","| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |\n| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 |",1]
["|  | Activities | Units | Segments | Clips | Duration | Setting | Persons |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |\n| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |\n| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |\n| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |\n| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |\n| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |","| Fountain | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Key | 100 | 100 | 95 | 100 | 95 | 95 | 90 | 90 | 95 | 95 |\n| Fork | 95 | 90 | 65 | 70 | 65 | 75 | 65 | 75 | 70 | 60 |\n| Hammerfull | 95 | 95 | 80 | 30 | 30 | 35 | 30 | 40 | 35 | 15 |",0]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 3 | 6 | 3 | 3.5 | 3.5 | 4 |\n| Solver2 | 1 | 1 | 6 | 5 | 7 | 6 |\n| Solver3 | 2 | 7 | 1 | 1 | 3.5 | 7 |","| Solver4 | 4.5 | 5 | 7 | 3.5 | 6 | 5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver5 | 6 | 3.5 | 4.5 | 2 | 1 | 1.5 |\n| Solver6 | 7 | 2 | 2 | 6 | 3.5 | 3 |\n| Solver7 | 4.5 | 3.5 | 4.5 | 7 | 3.5 | 1.5 |",1]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 3 | 6 | 3 | 3.5 | 3.5 | 4 |\n| Solver2 | 1 | 1 | 6 | 5 | 7 | 6 |\n| Solver3 | 2 | 7 | 1 | 1 | 3.5 | 7 |","| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 34 | 35 | 42 | 32 | 10 | 12 |\n| Solver2 | 32 | 24 | 44 | 33 | 13 | 15 |\n| Solver3 | 33 | 36 | 30 | 12 | 10 | 17 |\n| Solver4 | 36 | 32 | 46 | 32 | 12 | 13 |\n| Solver5 | 37 | 30 | 43 | 29 | 9 | 4 |\n| Solver6 | 68 | 29 | 41 | 55 | 10 | 5 |\n| Solver7 | 36 | 30 | 43 | 58 | 10 | 4 |",0]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 3 | 6 | 3 | 3.5 | 3.5 | 4 |\n| Solver2 | 1 | 1 | 6 | 5 | 7 | 6 |\n| Solver3 | 2 | 7 | 1 | 1 | 3.5 | 7 |\n| Solver4 | 4.5 | 5 | 7 | 3.5 | 6 | 5 |","| Solver5 | 6 | 3.5 | 4.5 | 2 | 1 | 1.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver6 | 7 | 2 | 2 | 6 | 3.5 | 3 |\n| Solver7 | 4.5 | 3.5 | 4.5 | 7 | 3.5 | 1.5 |",1]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 3 | 6 | 3 | 3.5 | 3.5 | 4 |\n| Solver2 | 1 | 1 | 6 | 5 | 7 | 6 |\n| Solver3 | 2 | 7 | 1 | 1 | 3.5 | 7 |\n| Solver4 | 4.5 | 5 | 7 | 3.5 | 6 | 5 |","| Solver5 | 37 | 30 | 43 | 29 | 9 | 4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver6 | 68 | 29 | 41 | 55 | 10 | 5 |\n| Solver7 | 36 | 30 | 43 | 58 | 10 | 4 |",0]
["| cone(0) | {2,3,4} |\n| --- | --- |\n| support(4) | {0,1} |","| closure(1) | {4,5,6,7,10,8} |\n| --- | --- |\n| star(8) | {2,4,6,0,1} |\n| meet(0,1) | {4} |\n| join(2,4) | {0} |\n| join(2,5) | {} |",1]
["| cone(0) | {2,3,4} |\n| --- | --- |\n| support(4) | {0,1} |","| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["| cone(0) | {2,3,4} |\n| --- | --- |\n| support(4) | {0,1} |","| closure(1) | {4,5,6,7,10,8} |\n| --- | --- |\n| star(8) | {2,4,6,0,1} |\n| meet(0,1) | {4} |\n| join(2,4) | {0} |\n| join(2,5) | {} |",1]
["| cone(0) | {2,3,4} |\n| --- | --- |\n| support(4) | {0,1} |","| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| --- | --- |\n| - | - |",0]
["| 72.46 | 72.29 |\n| --- | --- |\n| 71.7 | 71.28 |","| 60.76 | 54.27 |\n| --- | --- |\n| 57.29 | 49.37 |\n| 57.98 | 47.01 |\n| 64.13 | 57.63 |",1]
["| 72.46 | 72.29 |\n| --- | --- |\n| 71.7 | 71.28 |","| 25.31 | 18.67 | 16.06 |\n| --- | --- | --- |\n| 45.20 | 21.70 | 13.78 |\n| 50.26 | 25.34 | 17.85 |\n| 58.69 | 30.93 | 21.42 |\n| 25.00 | 5.58 | 2.4 |\n| 61.19 | 36.51 | 28.20 |",0]
["| 72.46 | 72.29 |\n| --- | --- |\n| 71.7 | 71.28 |\n| 60.76 | 54.27 |","| 57.29 | 49.37 |\n| --- | --- |\n| 57.98 | 47.01 |\n| 64.13 | 57.63 |",1]
["| 72.46 | 72.29 |\n| --- | --- |\n| 71.7 | 71.28 |\n| 60.76 | 54.27 |","| 58.69 | 30.93 | 21.42 |\n| --- | --- | --- |\n| 25.00 | 5.58 | 2.4 |\n| 61.19 | 36.51 | 28.20 |",0]
["| Alg. | Tr.Fl.1;Te.Fl.3 | Tr.Fl.3;Te.Fl.1 | Alg. |\n| --- | --- | --- | --- |\n| MI-HE(HSD) | 0.304 | 0.449 | MI-SMF(ACE) |\n| M-IHE(ACE) | 0.257 | 0.254 | MI-SMF(SMF) |","| eFUMI(ACE) | 0.214 | 0.325 | mi-SVM |\n| --- | --- | --- | --- |\n| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",1]
["| Alg. | Tr.Fl.1;Te.Fl.3 | Tr.Fl.3;Te.Fl.1 | Alg. |\n| --- | --- | --- | --- |\n| MI-HE(HSD) | 0.304 | 0.449 | MI-SMF(ACE) |\n| M-IHE(ACE) | 0.257 | 0.254 | MI-SMF(SMF) |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| Alg. | Tr.Fl.1;Te.Fl.3 | Tr.Fl.3;Te.Fl.1 | Alg. |\n| --- | --- | --- | --- |\n| MI-HE(HSD) | 0.304 | 0.449 | MI-SMF(ACE) |","| M-IHE(ACE) | 0.257 | 0.254 | MI-SMF(SMF) |\n| --- | --- | --- | --- |\n| eFUMI(ACE) | 0.214 | 0.325 | mi-SVM |\n| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",1]
["| Alg. | Tr.Fl.1;Te.Fl.3 | Tr.Fl.3;Te.Fl.1 | Alg. |\n| --- | --- | --- | --- |\n| MI-HE(HSD) | 0.304 | 0.449 | MI-SMF(ACE) |","| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["|  | P(a,a,b) | P(a,b,a) | P(a,b,b) | P(a,b,c) | P(a,c,a) | P(a,c,b) | P(b,a,b) | P(b,b,a) | P(b,c,a) | P(b,c,b) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |","| 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |\n| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |",1]
["|  | P(a,a,b) | P(a,b,a) | P(a,b,b) | P(a,b,c) | P(a,c,a) | P(a,c,b) | P(b,a,b) | P(b,b,a) | P(b,c,a) | P(b,c,b) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |","|  | P(a,a) | P(a,b) | P(a,c) | P(b,a) | P(b,b) | P(b,c) | P(c,a) | P(c,b) | P(x,x) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |\n| 3 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 |\n| 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |\n| 5 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |",0]
["|  | P(a,a,b) | P(a,b,a) | P(a,b,b) | P(a,b,c) | P(a,c,a) | P(a,c,b) | P(b,a,b) | P(b,b,a) | P(b,c,a) | P(b,c,b) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |\n| 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |","| 4 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |",1]
["|  | P(a,a,b) | P(a,b,a) | P(a,b,b) | P(a,b,c) | P(a,c,a) | P(a,c,b) | P(b,a,b) | P(b,b,a) | P(b,c,a) | P(b,c,b) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 |\n| 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |","| 4 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 |",0]
["| LCSeg |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sampling | Pre | Rec | F | Pre | Rec |","| Weight<br>Resampling<br>SMOTE | 0.792<br>0.796<br>0.831 | 0.787<br>0.790<br>0.804 | 0.786<br>0.789<br>0.811 | 0.788<br>0.791<br>0.830 | 0.784<br>0.787<br>0.807 |\n| --- | --- | --- | --- | --- | --- |\n| Weight<br>Resampling<br>SMOTE | 0.726<br>0.892<br>0.817 | 0.722<br>0.889<br>0.821 | 0.721<br>0.888<br>0.819 | 0.730<br>0.880<br>0.817 | 0.727<br>0.877<br>0.820 |\n| Weight<br>Resampling<br>SMOTE | 0.623<br>0.752<br>0.660 | 0.591<br>0.741<br>0.694 | 0.563<br>0.739<br>0.667 | 0.601<br>0.690<br>0.691 | 0.584<br>0.689<br>0.711 |",1]
["| LCSeg |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sampling | Pre | Rec | F | Pre | Rec |","| LCSeg |  |  |  |\n| --- | --- | --- | --- |\n| Sampling | R-1 | R-2 | R-1 |\n| Weight<br>Resampling<br>SMOTE | 0.660<br>0.666<br>0.673 | 0.141<br>0.142<br>0.145 | 0.663<br>0.674<br>0.675 |\n| Weight<br>Resampling<br>SMOTE | 0.679<br>0.705<br>0.694 | 0.147<br>0.158<br>0.152 | 0.702<br>0.703<br>0.695 |\n| Weight<br>Resampling<br>SMOTE | 0.490<br>0.563<br>0.525 | 0.114<br>0.143<br>0.123 | 0.473<br>0.556<br>0.567 |",0]
["| LCSeg |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sampling | Pre | Rec | F | Pre | Rec |","| Weight<br>Resampling<br>SMOTE | 0.792<br>0.796<br>0.831 | 0.787<br>0.790<br>0.804 | 0.786<br>0.789<br>0.811 | 0.788<br>0.791<br>0.830 | 0.784<br>0.787<br>0.807 |\n| --- | --- | --- | --- | --- | --- |\n| Weight<br>Resampling<br>SMOTE | 0.726<br>0.892<br>0.817 | 0.722<br>0.889<br>0.821 | 0.721<br>0.888<br>0.819 | 0.730<br>0.880<br>0.817 | 0.727<br>0.877<br>0.820 |\n| Weight<br>Resampling<br>SMOTE | 0.623<br>0.752<br>0.660 | 0.591<br>0.741<br>0.694 | 0.563<br>0.739<br>0.667 | 0.601<br>0.690<br>0.691 | 0.584<br>0.689<br>0.711 |",1]
["| LCSeg |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Sampling | Pre | Rec | F | Pre | Rec |","| Weight<br>Resampling<br>SMOTE | 0.679<br>0.705<br>0.694 | 0.147<br>0.158<br>0.152 | 0.702<br>0.703<br>0.695 |\n| --- | --- | --- | --- |\n| Weight<br>Resampling<br>SMOTE | 0.490<br>0.563<br>0.525 | 0.114<br>0.143<br>0.123 | 0.473<br>0.556<br>0.567 |",0]
["| a,b | costparameters |\n| --- | --- |\n| ω | angularfrequency |\n| θ | phaseangle |\n| P | mechanicalpower |\n| P | lowerlimitofmechanicalpower |\n| P | upperlimitofmechanicalpower |\n| L | powerload |\n| Pij | capacityoflineconnectingbusesiandj |","| D | load-dampingconstant |\n| --- | --- |\n| tij | tie-linestiﬀnesscoeﬃcient |",1]
["| a,b | costparameters |\n| --- | --- |\n| ω | angularfrequency |\n| θ | phaseangle |\n| P | mechanicalpower |\n| P | lowerlimitofmechanicalpower |\n| P | upperlimitofmechanicalpower |\n| L | powerload |\n| Pij | capacityoflineconnectingbusesiandj |","| c | disutilitycostparameters |\n| --- | --- |\n| R | reducedload |\n| S | maximumavailablepowersupply |\n| L | powerload |\n| f | maximumlinecapacity |\n| Hs | generationshiftfactormatrix |\n| Hl | loadshiftfactormatrix |",0]
["| a,b | costparameters |\n| --- | --- |\n| ω | angularfrequency |\n| θ | phaseangle |\n| P | mechanicalpower |\n| P | lowerlimitofmechanicalpower |\n| P | upperlimitofmechanicalpower |\n| L | powerload |","| Pij | capacityoflineconnectingbusesiandj |\n| --- | --- |\n| D | load-dampingconstant |\n| tij | tie-linestiﬀnesscoeﬃcient |",1]
["| a,b | costparameters |\n| --- | --- |\n| ω | angularfrequency |\n| θ | phaseangle |\n| P | mechanicalpower |\n| P | lowerlimitofmechanicalpower |\n| P | upperlimitofmechanicalpower |\n| L | powerload |","| S | maximumavailablepowersupply |\n| --- | --- |\n| L | powerload |\n| f | maximumlinecapacity |\n| Hs | generationshiftfactormatrix |\n| Hl | loadshiftfactormatrix |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 45000 | 20000 | 30000 | 80000 |","| 150000 | 25000 | 10000 | 5000 |\n| --- | --- | --- | --- |\n| 35000 | 35000 | 5000 | 10000 |\n| 50000 | 80000 | 40000 | 60000 |\n| 200000 | 100000 | 50000 | 70000 |\n| 70000 | 150000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 45000 | 20000 | 30000 | 80000 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 200000 | 100000 | 50000 | 70000 |\n| 50000 | 80000 | 40000 | 60000 |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 35000 | 35000 | 5000 | 10000 |","| 50000 | 80000 | 40000 | 60000 |\n| --- | --- | --- | --- |\n| 200000 | 100000 | 50000 | 70000 |\n| 70000 | 150000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 35000 | 35000 | 5000 | 10000 |","| 50000 | 80000 | 40000 | 60000 |\n| --- | --- | --- | --- |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| Bound | Problem(inaring) |\n| --- | --- |\n| α+1 | LeaderElection |","| 2α−2 | KnowledgeSharing |\n| --- | --- |\n| ∞ | Coloring,2-KnowledgeSharing |\n| unbounded | Partition,Orientation |",1]
["| Bound | Problem(inaring) |\n| --- | --- |\n| α+1 | LeaderElection |","| State | Runtime | Proof |\n| --- | --- | --- |\n| Neighborhoodlearning | (2∆+1)κ)s | Lemma?? |\n| Waitstate | (cid:96)·Coloring | Lemma?? |\n| CC:Compete0 | 3κ+∆κsl | Lemma?? |\n| CC:Competei | (38Γ+3)κs | Lemma?? |\n| CC:Max.Compete’si | (38Γ+120Γ)κs | Lemma?? |\n| CC:Request | (38+4)κ+∆κsl | Lemma?? |\n| CC:Announce | ≤2κs | - |",0]
["| Bound | Problem(inaring) |\n| --- | --- |\n| α+1 | LeaderElection |\n| 2α−2 | KnowledgeSharing |","| ∞ | Coloring,2-KnowledgeSharing |\n| --- | --- |\n| unbounded | Partition,Orientation |",1]
["| Bound | Problem(inaring) |\n| --- | --- |\n| α+1 | LeaderElection |\n| 2α−2 | KnowledgeSharing |","| CC:Request | (38+4)κ+∆κsl | Lemma?? |\n| --- | --- | --- |\n| CC:Announce | ≤2κs | - |",0]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | -0.01620 | 0.15105 | -0.01912 | -0.02068 | 0.09810 | 0.16031 |\n| sample01 | -0.02883 | 0.10282 | -0.05274 | -0.05878 | -0.00154 | -0.01592 |\n| sample02 | -0.00547 | 0.13573 | -0.03199 | -0.03077 | 0.16424 | 0.20673 |\n| sample03 | -0.01498 | 0.19607 | 0.03642 | 0.02633 | 0.27253 | 0.29317 |\n| sample04 | -0.03208 | 0.08501 | -0.08824 | -0.08548 | -0.07596 | -0.10103 |\n| sample05 | -0.01848 | 0.05986 | -0.11093 | -0.08703 | -0.09415 | -0.15169 |\n| sample06 | -0.02129 | 0.07737 | -0.05542 | -0.04822 | -0.03347 | -0.04137 |\n| sample07 | -0.02886 | 0.12561 | -0.04424 | -0.04983 | -0.06474 | -0.06572 |\n| sample08 | -0.01703 | 0.13734 | -0.04811 | -0.04805 | -0.01329 | 0.01062 |\n| sample09 | -0.02898 | 0.18808 | -0.03441 | -0.04354 | 0.04525 | 0.06153 |\n| sample10 | -0.04026 | 0.08053 | -0.11124 | -0.12110 | -0.22137 | -0.26291 |\n| sample11 | -0.02833 | 0.09366 | -0.09500 | -0.08694 | -0.07029 | -0.10209 |\n| sample12 | -0.00883 | 0.16270 | -0.03029 | -0.03776 | 0.07808 | 0.12318 |\n| sample13 | -0.02912 | 0.16786 | -0.02083 | -0.02337 | 0.04448 | 0.02625 |\n| sample14 | -0.02420 | 0.15050 | 0.01061 | -0.02473 | 0.22266 | 0.22460 |","| sample15 | 0.01803 | 0.17338 | -0.00786 | 0.00165 | 0.24206 | 0.26677 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample16 | -0.01952 | 0.05000 | -0.08519 | -0.07502 | -0.08264 | -0.06527 |\n| sample17 | -0.01150 | 0.27638 | 0.03338 | 0.09682 | 0.25085 | 0.28031 |\n| sample18 | -0.02229 | 0.16684 | -0.02129 | 0.00881 | 0.03661 | 0.00775 |\n| sample19 | 0.01972 | 0.07822 | -0.08941 | -0.07300 | -0.10352 | -0.16421 |\n| sample20 | 0.08400 | 0.21136 | -0.01114 | 0.00762 | 0.10156 | 0.16437 |\n| sample21 | 0.11576 | 0.20080 | -0.00166 | 0.00948 | 0.12431 | 0.24193 |\n| sample22 | 0.01808 | 0.13805 | -0.01966 | -0.01490 | 0.02612 | 0.06633 |\n| sample23 | 0.03123 | 0.14159 | -0.01558 | -0.02963 | 0.05672 | 0.20264 |\n| sample24 | 0.00010 | 0.22466 | 0.03073 | 0.01936 | 0.14511 | 0.18615 |\n| sample25 | 0.02951 | 0.19172 | 0.03718 | 0.03137 | 0.21777 | 0.30256 |\n| sample26 | -0.02134 | 0.18658 | 0.07070 | 0.05061 | 0.18509 | 0.19666 |\n| sample27 | 0.05362 | 0.21951 | 0.09223 | 0.05795 | 0.28961 | 0.34264 |\n| Samples | -0.00170 | 0.14905 | -0.02440 | -0.02317 | 0.06572 | 0.08551 |",1]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | -0.01620 | 0.15105 | -0.01912 | -0.02068 | 0.09810 | 0.16031 |\n| sample01 | -0.02883 | 0.10282 | -0.05274 | -0.05878 | -0.00154 | -0.01592 |\n| sample02 | -0.00547 | 0.13573 | -0.03199 | -0.03077 | 0.16424 | 0.20673 |\n| sample03 | -0.01498 | 0.19607 | 0.03642 | 0.02633 | 0.27253 | 0.29317 |\n| sample04 | -0.03208 | 0.08501 | -0.08824 | -0.08548 | -0.07596 | -0.10103 |\n| sample05 | -0.01848 | 0.05986 | -0.11093 | -0.08703 | -0.09415 | -0.15169 |\n| sample06 | -0.02129 | 0.07737 | -0.05542 | -0.04822 | -0.03347 | -0.04137 |\n| sample07 | -0.02886 | 0.12561 | -0.04424 | -0.04983 | -0.06474 | -0.06572 |\n| sample08 | -0.01703 | 0.13734 | -0.04811 | -0.04805 | -0.01329 | 0.01062 |\n| sample09 | -0.02898 | 0.18808 | -0.03441 | -0.04354 | 0.04525 | 0.06153 |\n| sample10 | -0.04026 | 0.08053 | -0.11124 | -0.12110 | -0.22137 | -0.26291 |\n| sample11 | -0.02833 | 0.09366 | -0.09500 | -0.08694 | -0.07029 | -0.10209 |\n| sample12 | -0.00883 | 0.16270 | -0.03029 | -0.03776 | 0.07808 | 0.12318 |\n| sample13 | -0.02912 | 0.16786 | -0.02083 | -0.02337 | 0.04448 | 0.02625 |\n| sample14 | -0.02420 | 0.15050 | 0.01061 | -0.02473 | 0.22266 | 0.22460 |","| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |\n| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |\n| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |\n| sample03 | 0.028 | 0.406 | 0.185 | 0.195 | 0.556 | 0.708 |\n| sample04 | 0.01 | 0.306 | 0.099 | 0.1 | 0.242 | 0.348 |\n| sample05 | 0.029 | 0.28 | 0.08 | 0.088 | 0.209 | 0.271 |\n| sample06 | 0.028 | 0.29 | 0.096 | 0.122 | 0.254 | 0.364 |\n| sample07 | 0.008 | 0.371 | 0.125 | 0.164 | 0.267 | 0.39 |\n| sample08 | 0.022 | 0.378 | 0.141 | 0.161 | 0.323 | 0.468 |\n| sample09 | 0.014 | 0.433 | 0.156 | 0.169 | 0.411 | 0.548 |\n| sample10 | 0.002 | 0.306 | 0.077 | 0.096 | 0.145 | 0.24 |\n| sample11 | 0.015 | 0.336 | 0.107 | 0.101 | 0.241 | 0.341 |\n| sample12 | 0.034 | 0.387 | 0.139 | 0.13 | 0.369 | 0.545 |\n| sample13 | 0.015 | 0.38 | 0.142 | 0.134 | 0.338 | 0.435 |\n| sample14 | 0.017 | 0.381 | 0.215 | 0.163 | 0.564 | 0.69 |\n| sample15 | 0.064 | 0.409 | 0.174 | 0.185 | 0.563 | 0.704 |\n| sample16 | 0.024 | 0.257 | 0.082 | 0.101 | 0.216 | 0.353 |\n| sample17 | 0.027 | 0.527 | 0.231 | 0.271 | 0.555 | 0.736 |\n| sample18 | 0.022 | 0.423 | 0.157 | 0.198 | 0.327 | 0.442 |\n| sample19 | 0.065 | 0.286 | 0.06 | 0.103 | 0.159 | 0.24 |\n| sample20 | 0.123 | 0.423 | 0.123 | 0.175 | 0.363 | 0.582 |\n| sample21 | 0.16 | 0.374 | 0.118 | 0.151 | 0.36 | 0.61 |\n| sample22 | 0.059 | 0.341 | 0.099 | 0.157 | 0.282 | 0.456 |\n| sample23 | 0.077 | 0.354 | 0.135 | 0.155 | 0.355 | 0.643 |\n| sample24 | 0.048 | 0.411 | 0.177 | 0.189 | 0.409 | 0.589 |\n| sample25 | 0.069 | 0.389 | 0.194 | 0.192 | 0.475 | 0.695 |\n| sample26 | 0.019 | 0.415 | 0.238 | 0.239 | 0.482 | 0.628 |\n| sample27 | 0.097 | 0.418 | 0.243 | 0.244 | 0.558 | 0.746 |\n| Samples | 0.041 | 0.37 | 0.144 | 0.158 | 0.365 | 0.517 |",0]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | -0.01620 | 0.15105 | -0.01912 | -0.02068 | 0.09810 | 0.16031 |\n| sample01 | -0.02883 | 0.10282 | -0.05274 | -0.05878 | -0.00154 | -0.01592 |\n| sample02 | -0.00547 | 0.13573 | -0.03199 | -0.03077 | 0.16424 | 0.20673 |\n| sample03 | -0.01498 | 0.19607 | 0.03642 | 0.02633 | 0.27253 | 0.29317 |\n| sample04 | -0.03208 | 0.08501 | -0.08824 | -0.08548 | -0.07596 | -0.10103 |\n| sample05 | -0.01848 | 0.05986 | -0.11093 | -0.08703 | -0.09415 | -0.15169 |\n| sample06 | -0.02129 | 0.07737 | -0.05542 | -0.04822 | -0.03347 | -0.04137 |\n| sample07 | -0.02886 | 0.12561 | -0.04424 | -0.04983 | -0.06474 | -0.06572 |\n| sample08 | -0.01703 | 0.13734 | -0.04811 | -0.04805 | -0.01329 | 0.01062 |\n| sample09 | -0.02898 | 0.18808 | -0.03441 | -0.04354 | 0.04525 | 0.06153 |\n| sample10 | -0.04026 | 0.08053 | -0.11124 | -0.12110 | -0.22137 | -0.26291 |\n| sample11 | -0.02833 | 0.09366 | -0.09500 | -0.08694 | -0.07029 | -0.10209 |\n| sample12 | -0.00883 | 0.16270 | -0.03029 | -0.03776 | 0.07808 | 0.12318 |","| sample13 | -0.02912 | 0.16786 | -0.02083 | -0.02337 | 0.04448 | 0.02625 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample14 | -0.02420 | 0.15050 | 0.01061 | -0.02473 | 0.22266 | 0.22460 |\n| sample15 | 0.01803 | 0.17338 | -0.00786 | 0.00165 | 0.24206 | 0.26677 |\n| sample16 | -0.01952 | 0.05000 | -0.08519 | -0.07502 | -0.08264 | -0.06527 |\n| sample17 | -0.01150 | 0.27638 | 0.03338 | 0.09682 | 0.25085 | 0.28031 |\n| sample18 | -0.02229 | 0.16684 | -0.02129 | 0.00881 | 0.03661 | 0.00775 |\n| sample19 | 0.01972 | 0.07822 | -0.08941 | -0.07300 | -0.10352 | -0.16421 |\n| sample20 | 0.08400 | 0.21136 | -0.01114 | 0.00762 | 0.10156 | 0.16437 |\n| sample21 | 0.11576 | 0.20080 | -0.00166 | 0.00948 | 0.12431 | 0.24193 |\n| sample22 | 0.01808 | 0.13805 | -0.01966 | -0.01490 | 0.02612 | 0.06633 |\n| sample23 | 0.03123 | 0.14159 | -0.01558 | -0.02963 | 0.05672 | 0.20264 |\n| sample24 | 0.00010 | 0.22466 | 0.03073 | 0.01936 | 0.14511 | 0.18615 |\n| sample25 | 0.02951 | 0.19172 | 0.03718 | 0.03137 | 0.21777 | 0.30256 |\n| sample26 | -0.02134 | 0.18658 | 0.07070 | 0.05061 | 0.18509 | 0.19666 |\n| sample27 | 0.05362 | 0.21951 | 0.09223 | 0.05795 | 0.28961 | 0.34264 |\n| Samples | -0.00170 | 0.14905 | -0.02440 | -0.02317 | 0.06572 | 0.08551 |",1]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | -0.01620 | 0.15105 | -0.01912 | -0.02068 | 0.09810 | 0.16031 |\n| sample01 | -0.02883 | 0.10282 | -0.05274 | -0.05878 | -0.00154 | -0.01592 |\n| sample02 | -0.00547 | 0.13573 | -0.03199 | -0.03077 | 0.16424 | 0.20673 |\n| sample03 | -0.01498 | 0.19607 | 0.03642 | 0.02633 | 0.27253 | 0.29317 |\n| sample04 | -0.03208 | 0.08501 | -0.08824 | -0.08548 | -0.07596 | -0.10103 |\n| sample05 | -0.01848 | 0.05986 | -0.11093 | -0.08703 | -0.09415 | -0.15169 |\n| sample06 | -0.02129 | 0.07737 | -0.05542 | -0.04822 | -0.03347 | -0.04137 |\n| sample07 | -0.02886 | 0.12561 | -0.04424 | -0.04983 | -0.06474 | -0.06572 |\n| sample08 | -0.01703 | 0.13734 | -0.04811 | -0.04805 | -0.01329 | 0.01062 |\n| sample09 | -0.02898 | 0.18808 | -0.03441 | -0.04354 | 0.04525 | 0.06153 |\n| sample10 | -0.04026 | 0.08053 | -0.11124 | -0.12110 | -0.22137 | -0.26291 |\n| sample11 | -0.02833 | 0.09366 | -0.09500 | -0.08694 | -0.07029 | -0.10209 |\n| sample12 | -0.00883 | 0.16270 | -0.03029 | -0.03776 | 0.07808 | 0.12318 |","| sample19 | 0.065 | 0.286 | 0.06 | 0.103 | 0.159 | 0.24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample20 | 0.123 | 0.423 | 0.123 | 0.175 | 0.363 | 0.582 |\n| sample21 | 0.16 | 0.374 | 0.118 | 0.151 | 0.36 | 0.61 |\n| sample22 | 0.059 | 0.341 | 0.099 | 0.157 | 0.282 | 0.456 |\n| sample23 | 0.077 | 0.354 | 0.135 | 0.155 | 0.355 | 0.643 |\n| sample24 | 0.048 | 0.411 | 0.177 | 0.189 | 0.409 | 0.589 |\n| sample25 | 0.069 | 0.389 | 0.194 | 0.192 | 0.475 | 0.695 |\n| sample26 | 0.019 | 0.415 | 0.238 | 0.239 | 0.482 | 0.628 |\n| sample27 | 0.097 | 0.418 | 0.243 | 0.244 | 0.558 | 0.746 |\n| Samples | 0.041 | 0.37 | 0.144 | 0.158 | 0.365 | 0.517 |",0]
["| σ | ReLD | PCP-LD | NCRPCA-LD |\n| --- | --- | --- | --- |\n| 25 | 35.13,29.79(2.83×10) | 34.52,29.03(6.31×10) | 30.69,28.50(2.88×10) |\n| 30 | 34.14,29.61(2.34×10) | 33.45,28.59(5.50×10) | 29.22,27.62(2.38×10) |","| 50 | 31.10,28.72(2.31×10) | 30.31,26.75(4.89×10) | 25.18,24.58(2.45×10) |\n| --- | --- | --- | --- |\n| 70 | 27.71,27.66(2.38×10) | 27.08,25.00(4.82×10) | 22.23,22.09(2.48×10) |",1]
["| σ | ReLD | PCP-LD | NCRPCA-LD |\n| --- | --- | --- | --- |\n| 25 | 35.13,29.79(2.83×10) | 34.52,29.03(6.31×10) | 30.69,28.50(2.88×10) |\n| 30 | 34.14,29.61(2.34×10) | 33.45,28.59(5.50×10) | 29.22,27.62(2.38×10) |","| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |\n| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |\n| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",0]
["| σ | ReLD | PCP-LD | NCRPCA-LD |\n| --- | --- | --- | --- |\n| 25 | 35.13,29.79(2.83×10) | 34.52,29.03(6.31×10) | 30.69,28.50(2.88×10) |","| 30 | 34.14,29.61(2.34×10) | 33.45,28.59(5.50×10) | 29.22,27.62(2.38×10) |\n| --- | --- | --- | --- |\n| 50 | 31.10,28.72(2.31×10) | 30.31,26.75(4.89×10) | 25.18,24.58(2.45×10) |\n| 70 | 27.71,27.66(2.38×10) | 27.08,25.00(4.82×10) | 22.23,22.09(2.48×10) |",1]
["| σ | ReLD | PCP-LD | NCRPCA-LD |\n| --- | --- | --- | --- |\n| 25 | 35.13,29.79(2.83×10) | 34.52,29.03(6.31×10) | 30.69,28.50(2.88×10) |","| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |\n| --- | --- | --- | --- | --- |\n| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",0]
["| ID | Age | Married | NumCars |\n| --- | --- | --- | --- |\n| I1 | 23 | No | 1 |\n| I2 | 25 | Yes | 1 |\n| I3 | 29 | No | 0 |","| I4 | 34 | Yes | 2 |\n| --- | --- | --- | --- |\n| I5 | 38 | Yes | 2 |",1]
["| ID | Age | Married | NumCars |\n| --- | --- | --- | --- |\n| I1 | 23 | No | 1 |\n| I2 | 25 | Yes | 1 |\n| I3 | 29 | No | 0 |","| patientname | age | id | trestbps | chol | thalach |\n| --- | --- | --- | --- | --- | --- |\n| E(Bob) | E(38) | E(121) | E(110) | E(196) | E(166) |\n| E(Celvin) | E(43) | E(222) | E(120) | E(201) | E(160) |\n| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",0]
["| ID | Age | Married | NumCars |\n| --- | --- | --- | --- |\n| I1 | 23 | No | 1 |","| I2 | 25 | Yes | 1 |\n| --- | --- | --- | --- |\n| I3 | 29 | No | 0 |\n| I4 | 34 | Yes | 2 |\n| I5 | 38 | Yes | 2 |",1]
["| ID | Age | Married | NumCars |\n| --- | --- | --- | --- |\n| I1 | 23 | No | 1 |","| E(David) | E(60) | E(285) | E(100) | E(248) | E(142) |\n| --- | --- | --- | --- | --- | --- |\n| E(Emma) | E(36) | E(956) | E(120) | E(267) | E(112) |\n| E(Flora) | E(43) | E(756) | E(100) | E(223) | E(127) |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",0]
["|  | hashedm=5 | hashedm=10 | hashedm=5,R.T. | hashedm=10R.T. |\n| --- | --- | --- | --- | --- |\n| K=1024 | .722±.011 | .704±.010 | .710±.007 | .697±.010 |","| K=2048 | .735±.007 | .731±.011 | .723±.007 | .716±.005 |\n| --- | --- | --- | --- | --- |\n| K=4096 | .741±.011 | .740±.006 | .736±.005 | .724±.004 |\n| K=8092 | .751±.009 |  | .739±.003 |  |",1]
["|  | hashedm=5 | hashedm=10 | hashedm=5,R.T. | hashedm=10R.T. |\n| --- | --- | --- | --- | --- |\n| K=1024 | .722±.011 | .704±.010 | .710±.007 | .697±.010 |","| k..kminmax | c±se | c±soute | c±sine |\n| --- | --- | --- | --- |\n| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |\n| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |\n| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |\n| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |\n| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",0]
["|  | hashedm=5 | hashedm=10 | hashedm=5,R.T. | hashedm=10R.T. |\n| --- | --- | --- | --- | --- |\n| K=1024 | .722±.011 | .704±.010 | .710±.007 | .697±.010 |\n| K=2048 | .735±.007 | .731±.011 | .723±.007 | .716±.005 |","| K=4096 | .741±.011 | .740±.006 | .736±.005 | .724±.004 |\n| --- | --- | --- | --- | --- |\n| K=8092 | .751±.009 |  | .739±.003 |  |",1]
["|  | hashedm=5 | hashedm=10 | hashedm=5,R.T. | hashedm=10R.T. |\n| --- | --- | --- | --- | --- |\n| K=1024 | .722±.011 | .704±.010 | .710±.007 | .697±.010 |\n| K=2048 | .735±.007 | .731±.011 | .723±.007 | .716±.005 |","| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| --- | --- | --- | --- |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",0]
["|  | Horizonδ=n∆x |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Particles | n=1 | n=2 | n=3 | n=4 | n=5 |\n| 200×200 | 0.8124 | 0.0937 | 0.1168 | 0.1227 | 0.1391 |","| 300×300 | 0.8115 | 0.0574 | 0.0751 | 0.0789 | 0.0913 |\n| --- | --- | --- | --- | --- | --- |\n| 400×400 | 0.8087 | 0.0487 | 0.0580 | 0.0634 | 0.0706 |",1]
["|  | Horizonδ=n∆x |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Particles | n=1 | n=2 | n=3 | n=4 | n=5 |\n| 200×200 | 0.8124 | 0.0937 | 0.1168 | 0.1227 | 0.1391 |","| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt |\n| --- | --- | --- |\n| 10 | .002838.000603 | .002398.000710 |\n| 10 | .018034.003995 | .009058.001744 |\n| 10 | .597764.242391 | .092602.015238 |\n| 10 | 246.241147.727 | 2.13928.493422 |\n| 10 | 13661.19129.92 | 31.03115.36648 |\n| Bestﬁtoft=cn | c≈10,k≈2.025 | c≈2×10,k≈1.197 |",0]
["|  | Horizonδ=n∆x |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Particles | n=1 | n=2 | n=3 | n=4 | n=5 |","| 200×200 | 0.8124 | 0.0937 | 0.1168 | 0.1227 | 0.1391 |\n| --- | --- | --- | --- | --- | --- |\n| 300×300 | 0.8115 | 0.0574 | 0.0751 | 0.0789 | 0.0913 |\n| 400×400 | 0.8087 | 0.0487 | 0.0580 | 0.0634 | 0.0706 |",1]
["|  | Horizonδ=n∆x |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Particles | n=1 | n=2 | n=3 | n=4 | n=5 |","| 10 | .597764.242391 | .092602.015238 |\n| --- | --- | --- |\n| 10 | 246.241147.727 | 2.13928.493422 |\n| 10 | 13661.19129.92 | 31.03115.36648 |\n| Bestﬁtoft=cn | c≈10,k≈2.025 | c≈2×10,k≈1.197 |",0]
["|  | ρ=0.01 | ρ=0.1 | ρ=1.0 |\n| --- | --- | --- | --- |\n| Customeroutage-hours | 2.34∗10 | 2.21∗10 | 2.17∗10 |\n| Numberofunrepairedfaults | 1 | 0.42 | 0 |\n| Numberofcustomersinoutage | 14 | 5.9 | 0 |","| Timetorestore(hours) | 21.83 | 20.76 | 20.34 |\n| --- | --- | --- | --- |\n| Timetostop(hours) | 48 | 48 | 26.46 |",1]
["|  | ρ=0.01 | ρ=0.1 | ρ=1.0 |\n| --- | --- | --- | --- |\n| Customeroutage-hours | 2.34∗10 | 2.21∗10 | 2.17∗10 |\n| Numberofunrepairedfaults | 1 | 0.42 | 0 |\n| Numberofcustomersinoutage | 14 | 5.9 | 0 |","| averagetime<br>/iter./customer(s) |\n| --- |\n| 0.0097 |\n| 0.0100 |\n| 0.0101 |\n| 0.0104 |\n| 0.0110 |",0]
["|  | ρ=0.01 | ρ=0.1 | ρ=1.0 |\n| --- | --- | --- | --- |\n| Customeroutage-hours | 2.34∗10 | 2.21∗10 | 2.17∗10 |\n| Numberofunrepairedfaults | 1 | 0.42 | 0 |\n| Numberofcustomersinoutage | 14 | 5.9 | 0 |","| Timetorestore(hours) | 21.83 | 20.76 | 20.34 |\n| --- | --- | --- | --- |\n| Timetostop(hours) | 48 | 48 | 26.46 |",1]
["|  | ρ=0.01 | ρ=0.1 | ρ=1.0 |\n| --- | --- | --- | --- |\n| Customeroutage-hours | 2.34∗10 | 2.21∗10 | 2.17∗10 |\n| Numberofunrepairedfaults | 1 | 0.42 | 0 |\n| Numberofcustomersinoutage | 14 | 5.9 | 0 |","| 0.0100 |\n| --- |\n| 0.0101 |\n| 0.0104 |\n| 0.0110 |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |\n| 2 | {4,20} | {4,20} | {4,20} | {4,20} |","| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| --- | --- | --- | --- | --- |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |\n| 2 | {4,20} | {4,20} | {4,20} | {4,20} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |\n| 2 | {4,20} | {4,20} | {4,20} | {4,20} |\n| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |","| 2 | {4,20} | {4,20} | {4,20} | {4,20} |\n| --- | --- | --- | --- | --- |\n| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {4},{20} | {4} | {20} | {4} |","| 3 | {4,6,20},{6,7,20} | {0,4,20} | {4,7,20} | {4,18,20} |\n| --- | --- | --- | --- | --- |\n| 4 | {4,6,18,20},{0,4,6,20} | {0,4,6,20} | {4,6,7,20} | {4,6,18,20} |",0]
["| Approach | CoﬀeeCup | Camera |\n| --- | --- | --- |\n| LCHF-RGB | 0.6595 | 0.2478 |\n| LCHF-Depth | 0.7860 | 0.3386 |","| LCHF-RGBD | 0.7390 | 0.3456 |\n| --- | --- | --- |\n| Ours(init.reg.) | 0.7510 | 0.4534 |\n| Ours(iter.poseref.) | 0.7932 | 0.4693 |",1]
["| Approach | CoﬀeeCup | Camera |\n| --- | --- | --- |\n| LCHF-RGB | 0.6595 | 0.2478 |\n| LCHF-Depth | 0.7860 | 0.3386 |","| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["| Approach | CoﬀeeCup | Camera |\n| --- | --- | --- |\n| LCHF-RGB | 0.6595 | 0.2478 |\n| LCHF-Depth | 0.7860 | 0.3386 |\n| LCHF-RGBD | 0.7390 | 0.3456 |","| Ours(init.reg.) | 0.7510 | 0.4534 |\n| --- | --- | --- |\n| Ours(iter.poseref.) | 0.7932 | 0.4693 |",1]
["| Approach | CoﬀeeCup | Camera |\n| --- | --- | --- |\n| LCHF-RGB | 0.6595 | 0.2478 |\n| LCHF-Depth | 0.7860 | 0.3386 |\n| LCHF-RGBD | 0.7390 | 0.3456 |","| 101 | 60K | 9h | 8x6.5G |\n| --- | --- | --- | --- |\n| 101 | 600K | 75h | 8x7.5G |\n| 101 | 4M | ¿500h | 8x8G |",0]
["| Dataset | Node | Edge | Attribute | Top-K | Avg.Clusterdensity | Avg.ClusterSize |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SG-Pursuit | GAMer | SG-Pursuit | GAMer |  |  |  |  |  |\n| DFB | 100 | 1106 | 5 | 5 | 9.69 | 5.4 | 10.8 | 6.4 |\n| 10 | 9.94 | 3.9 | 11.0 | 4.9 |  |  |  |  |\n| 15 | 11.03 | 3.33 | 12.07 | 4.33 |  |  |  |  |\n| 20 | 10.55 | 2.9 | 11.6 | 3.9 |  |  |  |  |\n| DBLP | 774 | 1757 | 20 | 5 | 4.12 | 3.2 | 5.2 | 4.2 |\n| 10 | 3.84 | 3.2 | 5.7 | 4.2 |  |  |  |  |\n| 15 | 3.25 | 3.17 | 7.3 | 4.17 |  |  |  |  |\n| 20 | 3.34 | 3.17 | 7.68 | 4.17 |  |  |  |  |\n| IMDB | 862 | 4388 | 21 | 5 | 3.24 | 4.96 | 4.6 | 10 |\n| 10 | 3.17 | 4.52 | 5.67 | 10.0 |  |  |  |  |\n| 15 | 3.52 | 2.97 | 5.79 | 4.27 |  |  |  |  |\n| 20 | 3.36 | 2.78 | 5.37 | 4.2 |  |  |  |  |\n| Genes | 2900 | 8264 | 115 | 5 | 3.76 | 6.92 | 24.8 | 10.6 |\n| 10 | 3.74 | 5.91 | 24.7 | 10.8 |  |  |  |  |","| 15 | 3.82 | 5.58 | 23.09 | 10.87 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 3.85 | 5.36 | 21.83 | 10.9 |  |  |  |  |\n| Arxiv | 11989 | 119258 | 300 | 5 | 11.53 | 4.16 | 15.8 | 10.0 |\n| 10 | 9.65 | 4.24 | 12.4 | 10.0 |  |  |  |  |\n| 15 | 9.03 | 4.23 | 11.27 | 10.0 |  |  |  |  |\n| 20 | 8.72 | 4.21 | 10.7 | 10.0 |  |  |  |  |",1]
["| Dataset | Node | Edge | Attribute | Top-K | Avg.Clusterdensity | Avg.ClusterSize |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SG-Pursuit | GAMer | SG-Pursuit | GAMer |  |  |  |  |  |\n| DFB | 100 | 1106 | 5 | 5 | 9.69 | 5.4 | 10.8 | 6.4 |\n| 10 | 9.94 | 3.9 | 11.0 | 4.9 |  |  |  |  |\n| 15 | 11.03 | 3.33 | 12.07 | 4.33 |  |  |  |  |\n| 20 | 10.55 | 2.9 | 11.6 | 3.9 |  |  |  |  |\n| DBLP | 774 | 1757 | 20 | 5 | 4.12 | 3.2 | 5.2 | 4.2 |\n| 10 | 3.84 | 3.2 | 5.7 | 4.2 |  |  |  |  |\n| 15 | 3.25 | 3.17 | 7.3 | 4.17 |  |  |  |  |\n| 20 | 3.34 | 3.17 | 7.68 | 4.17 |  |  |  |  |\n| IMDB | 862 | 4388 | 21 | 5 | 3.24 | 4.96 | 4.6 | 10 |\n| 10 | 3.17 | 4.52 | 5.67 | 10.0 |  |  |  |  |\n| 15 | 3.52 | 2.97 | 5.79 | 4.27 |  |  |  |  |\n| 20 | 3.36 | 2.78 | 5.37 | 4.2 |  |  |  |  |\n| Genes | 2900 | 8264 | 115 | 5 | 3.76 | 6.92 | 24.8 | 10.6 |\n| 10 | 3.74 | 5.91 | 24.7 | 10.8 |  |  |  |  |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mushroom | 0.89 | 1.19 | 42.98 | 44.12 | 0.16 | 0.03 | 0.01 | 0.03 |\n| kr-vs-kp | 0.31 | 0.33 | 6.87 | 6.21 | 0.43 | 0.04 | 0.03 | 0.07 |\n| madelon | 0.18 | 0.21 | 0.87 | 0.9448 | 3.07 | 0.4 | 0.03 | 1.53 |\n| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |\n| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",0]
["| Dataset | Node | Edge | Attribute | Top-K | Avg.Clusterdensity | Avg.ClusterSize |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SG-Pursuit | GAMer | SG-Pursuit | GAMer |  |  |  |  |  |\n| DFB | 100 | 1106 | 5 | 5 | 9.69 | 5.4 | 10.8 | 6.4 |\n| 10 | 9.94 | 3.9 | 11.0 | 4.9 |  |  |  |  |\n| 15 | 11.03 | 3.33 | 12.07 | 4.33 |  |  |  |  |\n| 20 | 10.55 | 2.9 | 11.6 | 3.9 |  |  |  |  |\n| DBLP | 774 | 1757 | 20 | 5 | 4.12 | 3.2 | 5.2 | 4.2 |","| 10 | 3.84 | 3.2 | 5.7 | 4.2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15 | 3.25 | 3.17 | 7.3 | 4.17 |  |  |  |  |\n| 20 | 3.34 | 3.17 | 7.68 | 4.17 |  |  |  |  |\n| IMDB | 862 | 4388 | 21 | 5 | 3.24 | 4.96 | 4.6 | 10 |\n| 10 | 3.17 | 4.52 | 5.67 | 10.0 |  |  |  |  |\n| 15 | 3.52 | 2.97 | 5.79 | 4.27 |  |  |  |  |\n| 20 | 3.36 | 2.78 | 5.37 | 4.2 |  |  |  |  |\n| Genes | 2900 | 8264 | 115 | 5 | 3.76 | 6.92 | 24.8 | 10.6 |\n| 10 | 3.74 | 5.91 | 24.7 | 10.8 |  |  |  |  |\n| 15 | 3.82 | 5.58 | 23.09 | 10.87 |  |  |  |  |\n| 20 | 3.85 | 5.36 | 21.83 | 10.9 |  |  |  |  |\n| Arxiv | 11989 | 119258 | 300 | 5 | 11.53 | 4.16 | 15.8 | 10.0 |\n| 10 | 9.65 | 4.24 | 12.4 | 10.0 |  |  |  |  |\n| 15 | 9.03 | 4.23 | 11.27 | 10.0 |  |  |  |  |\n| 20 | 8.72 | 4.21 | 10.7 | 10.0 |  |  |  |  |",1]
["| Dataset | Node | Edge | Attribute | Top-K | Avg.Clusterdensity | Avg.ClusterSize |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SG-Pursuit | GAMer | SG-Pursuit | GAMer |  |  |  |  |  |\n| DFB | 100 | 1106 | 5 | 5 | 9.69 | 5.4 | 10.8 | 6.4 |\n| 10 | 9.94 | 3.9 | 11.0 | 4.9 |  |  |  |  |\n| 15 | 11.03 | 3.33 | 12.07 | 4.33 |  |  |  |  |\n| 20 | 10.55 | 2.9 | 11.6 | 3.9 |  |  |  |  |\n| DBLP | 774 | 1757 | 20 | 5 | 4.12 | 3.2 | 5.2 | 4.2 |","| gisstee | 32,684 | 65,308 | 50,929 | 107,870 | 12.90 | 8.38 | 1.32 | 52 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| spambase | 35 | 37 | 200 | 203 | 0.7648 | 0.09 | 0.06 | 0.24 |\n| bankrupty | 112 | 95 | 296 | 239 | 2.06 | 0.31 | 0.11 | 1.27 |",0]
["| Identiﬁer | DateandTimestampofLog-on | DurationofPrecedingPowerOutage |\n| --- | --- | --- |\n| Log-on1 | 23rdFeb.23:57Z | Between381and442minutes |\n| Log-on2 | 26thFeb.14:11Z | Between295and354minutes |\n| Log-on3 | 5thMar.03:06Z | Between35and95minutes |\n| Log-on4 | 6thMar.13:29Z | Between43and103minutes |","| Log-on5 | 6thMar.15:02Z | Between35and92minutes |\n| --- | --- | --- |\n| Log-on6 | 7thMar.12:50Z | Between228and288minutes |\n| Log-on7 | 7thMar.18:25Z | Between20and78minutes |",1]
["| Identiﬁer | DateandTimestampofLog-on | DurationofPrecedingPowerOutage |\n| --- | --- | --- |\n| Log-on1 | 23rdFeb.23:57Z | Between381and442minutes |\n| Log-on2 | 26thFeb.14:11Z | Between295and354minutes |\n| Log-on3 | 5thMar.03:06Z | Between35and95minutes |\n| Log-on4 | 6thMar.13:29Z | Between43and103minutes |","| DateandTimestamp(s) | Description |\n| --- | --- |\n| 7Mar.201416:42Z | MH370departsKualaLumpaAirport |\n| LastACARStransmission | 7Mar.201417:07Z |\n| Lossofsecondaryradar | 7Mar.201417:21:13Z |\n| 7Mar.201418:22:12Z | LastMalaysianmilitaryradarcontact |\n| 7Mar.201418:25Z-18:28Z | SatelliteDataUnit(SDU)log-onsequence |\n| 7Mar.201418:39-18:41Z | Unansweredground-to-airphonecall |\n| 7Mar.201419:41Zto8Mar.201400:11Z | SATCOMmetadataapprox.hourlyfromMH370 |\n| 8Mar.201400:19:29Z-00:19:37Z | PartialSDUlog-onsequence |",0]
["| Identiﬁer | DateandTimestampofLog-on | DurationofPrecedingPowerOutage |\n| --- | --- | --- |\n| Log-on1 | 23rdFeb.23:57Z | Between381and442minutes |","| Log-on2 | 26thFeb.14:11Z | Between295and354minutes |\n| --- | --- | --- |\n| Log-on3 | 5thMar.03:06Z | Between35and95minutes |\n| Log-on4 | 6thMar.13:29Z | Between43and103minutes |\n| Log-on5 | 6thMar.15:02Z | Between35and92minutes |\n| Log-on6 | 7thMar.12:50Z | Between228and288minutes |\n| Log-on7 | 7thMar.18:25Z | Between20and78minutes |",1]
["| Identiﬁer | DateandTimestampofLog-on | DurationofPrecedingPowerOutage |\n| --- | --- | --- |\n| Log-on1 | 23rdFeb.23:57Z | Between381and442minutes |","| 7Mar.201418:39-18:41Z | Unansweredground-to-airphonecall |\n| --- | --- |\n| 7Mar.201419:41Zto8Mar.201400:11Z | SATCOMmetadataapprox.hourlyfromMH370 |\n| 8Mar.201400:19:29Z-00:19:37Z | PartialSDUlog-onsequence |",0]
["|  | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| η=0.1 | 47.64 | 46.78 | 39.26 | 56.63 | 47.09 | 67.29 | 60.65 | 38.76 | 42.99 | 44.86 | 49.19 | 8.90 |","| η=0.9 | 145.90 | 155.75 | 168.04 | 199.94 | 171.94 | 243.61 | 162.15 | 144.08 | 103.82 | 117.94 | 161.32 | 37.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eη | 98.27 | 108.97 | 128.78 | 143.31 | 124.85 | 176.33 | 101.50 | 105.33 | 60.83 | 73.08 | 112.12 | 31.70 |\n| η=0.1 | 45.71 | 59.28 | 47.39 | 54.31 | 58.14 | 69.65 | 50.27 | 44.35 | 43.90 | 48.83 | 52.18 | 7.78 |\n| η=0.9 | 61.23 | 57.63 | 56.30 | 81.25 | 53.65 | 74.69 | 55.76 | 40.86 | 47.74 | 52.03 | 58.11 | 11.36 |\n| eη | 15.52 | -1.65 | 8.91 | 26.94 | -4.49 | 5.04 | 5.49 | -3.49 | 3.85 | 3.20 | 5.93 | 9.00 |\n| η=0.1 | 45.34 | 47.09 | 65.90 | 54.05 | 51.93 | 84.91 | 54.66 | 41.11 | 43.88 | 52.21 | 54.11 | 12.23 |\n| η=0.9 | 213.49 | 168.69 | 197.52 | 188.80 | 171.62 | 236.93 | 174.46 | 183.98 | 84.95 | 122.82 | 174.32 | 41.20 |\n| eη | 168.15 | 121.59 | 131.62 | 134.75 | 119.69 | 152.02 | 119.80 | 142.87 | 41.07 | 70.61 | 120.22 | 35.90 |",1]
["|  | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| η=0.1 | 47.64 | 46.78 | 39.26 | 56.63 | 47.09 | 67.29 | 60.65 | 38.76 | 42.99 | 44.86 | 49.19 | 8.90 |","| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["|  | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| η=0.1 | 47.64 | 46.78 | 39.26 | 56.63 | 47.09 | 67.29 | 60.65 | 38.76 | 42.99 | 44.86 | 49.19 | 8.90 |\n| η=0.9 | 145.90 | 155.75 | 168.04 | 199.94 | 171.94 | 243.61 | 162.15 | 144.08 | 103.82 | 117.94 | 161.32 | 37.65 |\n| eη | 98.27 | 108.97 | 128.78 | 143.31 | 124.85 | 176.33 | 101.50 | 105.33 | 60.83 | 73.08 | 112.12 | 31.70 |\n| η=0.1 | 45.71 | 59.28 | 47.39 | 54.31 | 58.14 | 69.65 | 50.27 | 44.35 | 43.90 | 48.83 | 52.18 | 7.78 |\n| η=0.9 | 61.23 | 57.63 | 56.30 | 81.25 | 53.65 | 74.69 | 55.76 | 40.86 | 47.74 | 52.03 | 58.11 | 11.36 |\n| eη | 15.52 | -1.65 | 8.91 | 26.94 | -4.49 | 5.04 | 5.49 | -3.49 | 3.85 | 3.20 | 5.93 | 9.00 |","| η=0.1 | 45.34 | 47.09 | 65.90 | 54.05 | 51.93 | 84.91 | 54.66 | 41.11 | 43.88 | 52.21 | 54.11 | 12.23 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| η=0.9 | 213.49 | 168.69 | 197.52 | 188.80 | 171.62 | 236.93 | 174.46 | 183.98 | 84.95 | 122.82 | 174.32 | 41.20 |\n| eη | 168.15 | 121.59 | 131.62 | 134.75 | 119.69 | 152.02 | 119.80 | 142.87 | 41.07 | 70.61 | 120.22 | 35.90 |",1]
["|  | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| η=0.1 | 47.64 | 46.78 | 39.26 | 56.63 | 47.09 | 67.29 | 60.65 | 38.76 | 42.99 | 44.86 | 49.19 | 8.90 |\n| η=0.9 | 145.90 | 155.75 | 168.04 | 199.94 | 171.94 | 243.61 | 162.15 | 144.08 | 103.82 | 117.94 | 161.32 | 37.65 |\n| eη | 98.27 | 108.97 | 128.78 | 143.31 | 124.85 | 176.33 | 101.50 | 105.33 | 60.83 | 73.08 | 112.12 | 31.70 |\n| η=0.1 | 45.71 | 59.28 | 47.39 | 54.31 | 58.14 | 69.65 | 50.27 | 44.35 | 43.90 | 48.83 | 52.18 | 7.78 |\n| η=0.9 | 61.23 | 57.63 | 56.30 | 81.25 | 53.65 | 74.69 | 55.76 | 40.86 | 47.74 | 52.03 | 58.11 | 11.36 |\n| eη | 15.52 | -1.65 | 8.91 | 26.94 | -4.49 | 5.04 | 5.49 | -3.49 | 3.85 | 3.20 | 5.93 | 9.00 |","| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Networkarchitecture | mAP |\n| --- | --- |\n| StackedRNNwithelement-wisemax | 58.1 |\n| RNNwithelement-wisemax | 57.4 |","| StackedRNNwithoutelement-wisemax | 57.0 |\n| --- | --- |\n| RNNwithoutelement-wisemax | 57.2 |",1]
["| Networkarchitecture | mAP |\n| --- | --- |\n| StackedRNNwithelement-wisemax | 58.1 |\n| RNNwithelement-wisemax | 57.4 |","| Layer | Time(seconds) |\n| --- | --- |\n| Convlayer(32featuremaps) | 29 |\n| Convlayer(32featuremaps) | 755 |\n| ActivationLayer | 113 |\n| AveragePoolingLayer | 15 |\n| Convlayer(64featuremaps) | 249 |\n| Convlayer(64featuremaps) | 314 |\n| ActivationLayer | 127 |\n| Convlayer(128featuremaps) | 418 |\n| Convlayer(128featuremaps) | 405 |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",0]
["| Networkarchitecture | mAP |\n| --- | --- |\n| StackedRNNwithelement-wisemax | 58.1 |\n| RNNwithelement-wisemax | 57.4 |","| StackedRNNwithoutelement-wisemax | 57.0 |\n| --- | --- |\n| RNNwithoutelement-wisemax | 57.2 |",1]
["| Networkarchitecture | mAP |\n| --- | --- |\n| StackedRNNwithelement-wisemax | 58.1 |\n| RNNwithelement-wisemax | 57.4 |","| Convlayer(128featuremaps) | 405 |\n| --- | --- |\n| ActivationLayer | 101 |\n| AveragePoolingLayer | 3 |\n| 2FullyConnected(256and10neurons) | 32 |",0]
["| Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Time(s) | Nodes | NodesinPath | Time(s) | Bound |  |  |  |\n| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |","| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",1]
["| Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Time(s) | Nodes | NodesinPath | Time(s) | Bound |  |  |  |\n| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |","| Design | Area(mm) | #R | #C | #L | #Nodes |\n| --- | --- | --- | --- | --- | --- |\n| D1 | 0.35 | 23221 | 15193 | 15193 | 45.7K |\n| D2 | 1.40 | 348582 | 228952 | 228952 | 688K |\n| D3 | 2.80 | 1468863 | 965540 | 965540 | 2.90M |\n| D4 | 5.00 | 3748974 | 2467400 | 2464819 | 7.40M |",0]
["| Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Time(s) | Nodes | NodesinPath | Time(s) | Bound |  |  |  |\n| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |","| 3 | 600×600 | 2 | 132.6 | 90408 | 71 | 120.3 | 5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 6000×6000 | 3 | 1002.6 | 183412 | 93 | 953.4 | 5 |",1]
["| Dim. | ArenaSize | Obstacles | OMPLRRT | BoundedMotionPlan |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Time(s) | Nodes | NodesinPath | Time(s) | Bound |  |  |  |\n| 2 | 600×600 | 2 | 1.8 | 9500 | 60 | 1.3 | 4 |\n| 2 | 6000×6000 | 3 | 23.5 | 11256 | 78 | 45.23 | 5 |","| D2 | 1.40 | 348582 | 228952 | 228952 | 688K |\n| --- | --- | --- | --- | --- | --- |\n| D3 | 2.80 | 1468863 | 965540 | 965540 | 2.90M |\n| D4 | 5.00 | 3748974 | 2467400 | 2464819 | 7.40M |",0]
["| 25.31 | 18.67 | 16.06 |\n| --- | --- | --- |\n| 45.20 | 21.70 | 13.78 |","| 50.26 | 25.34 | 17.85 |\n| --- | --- | --- |\n| 58.69 | 30.93 | 21.42 |\n| 25.00 | 5.58 | 2.4 |\n| 61.19 | 36.51 | 28.20 |",1]
["| 25.31 | 18.67 | 16.06 |\n| --- | --- | --- |\n| 45.20 | 21.70 | 13.78 |","| 1 | 5 |\n| --- | --- |\n| 4.19 | 3.85 |\n| 7.18 | 5.69 |\n| 2.91 | 2.72 |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",0]
["| 25.31 | 18.67 | 16.06 |\n| --- | --- | --- |\n| 45.20 | 21.70 | 13.78 |","| 50.26 | 25.34 | 17.85 |\n| --- | --- | --- |\n| 58.69 | 30.93 | 21.42 |\n| 25.00 | 5.58 | 2.4 |\n| 61.19 | 36.51 | 28.20 |",1]
["| 25.31 | 18.67 | 16.06 |\n| --- | --- | --- |\n| 45.20 | 21.70 | 13.78 |","| 7.18 | 5.69 |\n| --- | --- |\n| 2.91 | 2.72 |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",0]
["|  | Energy-eﬃcient | Powercontrol | Users | Feedback(Overhead) | Deviation-proof |\n| --- | --- | --- | --- | --- | --- |\n|  | No | Yes | Heterogeneous | Error-free,unquantized(Large) | Yes |","|  | No | Applicable | Heterogeneous | Erroneous,limited(Medium) | Yes |\n| --- | --- | --- | --- | --- | --- |\n|  | No | No | Homogeneous | Erroneous,binary(One-bit) | No |\n|  | Yes | No | Homogeneous | Erroneous,binary(One-bit) | No |\n| – | No | No | Homogeneous | Error-free,binary(One-bit) | No |\n| Proposed | Yes | Yes | Heterogeneous | Erroneous,binary(One-bit) | Yes |",1]
["|  | Energy-eﬃcient | Powercontrol | Users | Feedback(Overhead) | Deviation-proof |\n| --- | --- | --- | --- | --- | --- |\n|  | No | Yes | Heterogeneous | Error-free,unquantized(Large) | Yes |","| Operation | Type | Energy(pJ) |\n| --- | --- | --- |\n| 32bitintadd | Computation | 0.1 |\n| 32bitﬂoatadd | Computation | 0.9 |\n| 32bitregisteraccess | Communication | 1.0 |\n| 32bitintmultiply | Computation | 3.1 |\n| 32bitﬂoatmultiply | Computation | 3.7 |\n| 32bitSRAMaccess | Communication | 5.0 |\n| 32bitDRAMaccess | Communication | 640 |",0]
["|  | Energy-eﬃcient | Powercontrol | Users | Feedback(Overhead) | Deviation-proof |\n| --- | --- | --- | --- | --- | --- |\n|  | No | Yes | Heterogeneous | Error-free,unquantized(Large) | Yes |\n|  | No | Applicable | Heterogeneous | Erroneous,limited(Medium) | Yes |","|  | No | No | Homogeneous | Erroneous,binary(One-bit) | No |\n| --- | --- | --- | --- | --- | --- |\n|  | Yes | No | Homogeneous | Erroneous,binary(One-bit) | No |\n| – | No | No | Homogeneous | Error-free,binary(One-bit) | No |\n| Proposed | Yes | Yes | Heterogeneous | Erroneous,binary(One-bit) | Yes |",1]
["|  | Energy-eﬃcient | Powercontrol | Users | Feedback(Overhead) | Deviation-proof |\n| --- | --- | --- | --- | --- | --- |\n|  | No | Yes | Heterogeneous | Error-free,unquantized(Large) | Yes |\n|  | No | Applicable | Heterogeneous | Erroneous,limited(Medium) | Yes |","| 32bitregisteraccess | Communication | 1.0 |\n| --- | --- | --- |\n| 32bitintmultiply | Computation | 3.1 |\n| 32bitﬂoatmultiply | Computation | 3.7 |\n| 32bitSRAMaccess | Communication | 5.0 |\n| 32bitDRAMaccess | Communication | 640 |",0]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |","| Tq | 20msec | Source | CBR |\n| --- | --- | --- | --- |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",1]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 17 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | PI21 | Flow3 | PI9 |\n| Flow2 | PI15 | Flow4 | Pi3 |\n| Throughputﬂow1 | 130.03kbps | Throughputﬂow3 | 71.76kbps |\n| Throughputﬂow2 | 81.71kbps | Throughputﬂow4 | 59.68kbps |",0]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |","| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| --- | --- | --- | --- |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",1]
["| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |","| Ta | 0.5msec | Simulationtime | 20sec |\n| --- | --- | --- | --- |\n| Tq | 20msec | Source | CBR |\n| Flow1 | PI21 | Flow3 | PI9 |\n| Flow2 | PI15 | Flow4 | Pi3 |\n| Throughputﬂow1 | 130.03kbps | Throughputﬂow3 | 71.76kbps |\n| Throughputﬂow2 | 81.71kbps | Throughputﬂow4 | 59.68kbps |",0]
["|  | ECSSD | HKU-IS |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Models | Fη | MAE | Sλ | Fη | MAE | Sλ | Fη |\n| (a):side-outfeatures(VGG-16) | 0.805 | 0.131 | 0.813 | 0.781 | 0.108 | 0.820 | 0.712 |\n| (b):aggregatedfeatures(VGG-16) | 0.824 | 0.120 | 0.821 | 0.803 | 0.085 | 0.841 | 0.731 |\n| (c):(b)+bottom-upsingleattention(VGG-16) | 0.837 | 0.112 | 0.817 | 0.805 | 0.080 | 0.846 | 0.740 |","| (d):(b)+top-downsingleattention(VGG-16) | 0.845 | 0.093 | 0.876 | 0.827 | 0.078 | 0.852 | 0.752 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (e):(b)+top-downattentionpyramid(VGG-16) | 0.887 | 0.049 | 0.902 | 0.861 | 0.038 | 0.891 | 0.794 |\n| (f):(b)+top-downattentionpyramid(ResNet-50) | 0.912 | 0.042 | 0.923 | 0.887 | 0.039 | 0.907 | 0.823 |",1]
["|  | ECSSD | HKU-IS |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Models | Fη | MAE | Sλ | Fη | MAE | Sλ | Fη |\n| (a):side-outfeatures(VGG-16) | 0.805 | 0.131 | 0.813 | 0.781 | 0.108 | 0.820 | 0.712 |\n| (b):aggregatedfeatures(VGG-16) | 0.824 | 0.120 | 0.821 | 0.803 | 0.085 | 0.841 | 0.731 |\n| (c):(b)+bottom-upsingleattention(VGG-16) | 0.837 | 0.112 | 0.817 | 0.805 | 0.080 | 0.846 | 0.740 |","| AUC | MSE | ACC | F1 |\n| --- | --- | --- | --- |\n| LinearRegression |  |  |  |\n| 0.684 | 0.039 | 0.813 | 0.53 |\n| LogisticsRegression |  |  |  |\n| 0.745 | 0.171 | 0.75 | 0.6 |\n| RandomForestRegression |  |  |  |\n| 0.701 | 0.035 | 0.82 | 0.56 |\n| RandomForestClassiﬁer |  |  |  |\n| 0.745 | 0.151 | 0.781 | 0.61 |",0]
["|  | ECSSD | HKU-IS |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Models | Fη | MAE | Sλ | Fη | MAE | Sλ | Fη |\n| (a):side-outfeatures(VGG-16) | 0.805 | 0.131 | 0.813 | 0.781 | 0.108 | 0.820 | 0.712 |\n| (b):aggregatedfeatures(VGG-16) | 0.824 | 0.120 | 0.821 | 0.803 | 0.085 | 0.841 | 0.731 |\n| (c):(b)+bottom-upsingleattention(VGG-16) | 0.837 | 0.112 | 0.817 | 0.805 | 0.080 | 0.846 | 0.740 |\n| (d):(b)+top-downsingleattention(VGG-16) | 0.845 | 0.093 | 0.876 | 0.827 | 0.078 | 0.852 | 0.752 |","| (e):(b)+top-downattentionpyramid(VGG-16) | 0.887 | 0.049 | 0.902 | 0.861 | 0.038 | 0.891 | 0.794 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (f):(b)+top-downattentionpyramid(ResNet-50) | 0.912 | 0.042 | 0.923 | 0.887 | 0.039 | 0.907 | 0.823 |",1]
["|  | ECSSD | HKU-IS |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Models | Fη | MAE | Sλ | Fη | MAE | Sλ | Fη |\n| (a):side-outfeatures(VGG-16) | 0.805 | 0.131 | 0.813 | 0.781 | 0.108 | 0.820 | 0.712 |\n| (b):aggregatedfeatures(VGG-16) | 0.824 | 0.120 | 0.821 | 0.803 | 0.085 | 0.841 | 0.731 |\n| (c):(b)+bottom-upsingleattention(VGG-16) | 0.837 | 0.112 | 0.817 | 0.805 | 0.080 | 0.846 | 0.740 |\n| (d):(b)+top-downsingleattention(VGG-16) | 0.845 | 0.093 | 0.876 | 0.827 | 0.078 | 0.852 | 0.752 |","| 0.701 | 0.035 | 0.82 | 0.56 |\n| --- | --- | --- | --- |\n| RandomForestClassiﬁer |  |  |  |\n| 0.745 | 0.151 | 0.781 | 0.61 |",0]
["|  | Multiplications | Additions | Inversions |\n| --- | --- | --- | --- |\n| SyndromeComputation | 2t(n−1) | 2t(n−1) | 0 |\n| KeyEquationSolver | 4t(2t+2) | 2t(2t+1) | 0 |","| ChienSearch | n(t−1) | nt | 0 |\n| --- | --- | --- | --- |\n| Forney’sFormula | 2t | t(2t−1) | t |\n| Total | 3nt+10t−n+6t | 3nt+6t−t | t |",1]
["|  | Multiplications | Additions | Inversions |\n| --- | --- | --- | --- |\n| SyndromeComputation | 2t(n−1) | 2t(n−1) | 0 |\n| KeyEquationSolver | 4t(2t+2) | 2t(2t+1) | 0 |","| Parameter | Zhang | Mohanty | Darji | Yusong | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Multipliers | 10 | 9P | 10 | 10P | 0 |\n| Adders | 16 | 16P | 16 | 16P | 34P |\n| InternalMemory | 4N+37 | 15P+5.5N | 4N | 24P+3N | 60P+3N |\n| Criticalpath | Tm | T+2Tma | Tm | T+Tma | Ta |\n| ComputationTime | N/2 | N/2P | N/2 | N/2P | N/2P |\n| Throughput | 2/Tm | 2P/T+2Tma | 2/Tm | 2P/T+Tma | 2P/Ta |",0]
["|  | Multiplications | Additions | Inversions |\n| --- | --- | --- | --- |\n| SyndromeComputation | 2t(n−1) | 2t(n−1) | 0 |","| KeyEquationSolver | 4t(2t+2) | 2t(2t+1) | 0 |\n| --- | --- | --- | --- |\n| ChienSearch | n(t−1) | nt | 0 |\n| Forney’sFormula | 2t | t(2t−1) | t |\n| Total | 3nt+10t−n+6t | 3nt+6t−t | t |",1]
["|  | Multiplications | Additions | Inversions |\n| --- | --- | --- | --- |\n| SyndromeComputation | 2t(n−1) | 2t(n−1) | 0 |","| InternalMemory | 4N+37 | 15P+5.5N | 4N | 24P+3N | 60P+3N |\n| --- | --- | --- | --- | --- | --- |\n| Criticalpath | Tm | T+2Tma | Tm | T+Tma | Ta |\n| ComputationTime | N/2 | N/2P | N/2 | N/2P | N/2P |\n| Throughput | 2/Tm | 2P/T+2Tma | 2/Tm | 2P/T+Tma | 2P/Ta |",0]
["| Algorithm | Kobe | Traffic | Runner | Drop | Average |\n| --- | --- | --- | --- | --- | --- |\n| GMM-TP | 24.47,0.5246 | 25.08,0.7652 | 29.75,0.6995 | 34.76,0.6356 | 28.52,0.6562 |\n| MMLE-GMM | 27.33,0.6962 | 25.68,0.7798 | 33.68,0.8224 | 39.86,0.7369 | 31.64,0.7588 |\n| MMLE-MFA | 24.63,0.5291 | 22.66,0.6232 | 30.83,0.7331 | 35.66,0.6690 | 28.45,0.6386 |","| GAP-TV | 26.45,0.8448 | 20.89,0.7148 | 28.81,0.9092 | 34.74,0.9704 | 27.72,0.8598 |\n| --- | --- | --- | --- | --- | --- |\n| DeSCI | 33.25,0.9518 | 28.72,0.9251 | 38.76,0.9693 | 43.22,0.9925 | 35.99,0.9597 |",1]
["| Algorithm | Kobe | Traffic | Runner | Drop | Average |\n| --- | --- | --- | --- | --- | --- |\n| GMM-TP | 24.47,0.5246 | 25.08,0.7652 | 29.75,0.6995 | 34.76,0.6356 | 28.52,0.6562 |\n| MMLE-GMM | 27.33,0.6962 | 25.68,0.7798 | 33.68,0.8224 | 39.86,0.7369 | 31.64,0.7588 |\n| MMLE-MFA | 24.63,0.5291 | 22.66,0.6232 | 30.83,0.7331 | 35.66,0.6690 | 28.45,0.6386 |","| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |\n| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |\n| BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |\n| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |\n| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",0]
["| Algorithm | Kobe | Traffic | Runner | Drop | Average |\n| --- | --- | --- | --- | --- | --- |\n| GMM-TP | 24.47,0.5246 | 25.08,0.7652 | 29.75,0.6995 | 34.76,0.6356 | 28.52,0.6562 |\n| MMLE-GMM | 27.33,0.6962 | 25.68,0.7798 | 33.68,0.8224 | 39.86,0.7369 | 31.64,0.7588 |","| MMLE-MFA | 24.63,0.5291 | 22.66,0.6232 | 30.83,0.7331 | 35.66,0.6690 | 28.45,0.6386 |\n| --- | --- | --- | --- | --- | --- |\n| GAP-TV | 26.45,0.8448 | 20.89,0.7148 | 28.81,0.9092 | 34.74,0.9704 | 27.72,0.8598 |\n| DeSCI | 33.25,0.9518 | 28.72,0.9251 | 38.76,0.9693 | 43.22,0.9925 | 35.99,0.9597 |",1]
["| Algorithm | Kobe | Traffic | Runner | Drop | Average |\n| --- | --- | --- | --- | --- | --- |\n| GMM-TP | 24.47,0.5246 | 25.08,0.7652 | 29.75,0.6995 | 34.76,0.6356 | 28.52,0.6562 |\n| MMLE-GMM | 27.33,0.6962 | 25.68,0.7798 | 33.68,0.8224 | 39.86,0.7369 | 31.64,0.7588 |","| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",0]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |\n| 002 | Faulkner,Hemingway,Melville |\n| 003 | Joyce,Proust |","| 004 | Hemingway,Melville |\n| --- | --- |\n| 005 | Flaubert,Zola |\n| 006 | Hemingway,Golding |",1]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |\n| 002 | Faulkner,Hemingway,Melville |\n| 003 | Joyce,Proust |","| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |\n| 002 | Faulkner,Hemingway,Melville |\n| 003 | Joyce,Proust |\n| 004 | Hemingway,Melville |\n| 005 | Flaubert,Zola |\n| 006 | Hemingway,Golding |",0]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |\n| 002 | Faulkner,Hemingway,Melville |\n| 003 | Joyce,Proust |\n| 004 | Hemingway,Melville |","| 005 | Flaubert,Zola |\n| --- | --- |\n| 006 | Hemingway,Golding |",1]
["| tid | itemset |\n| --- | --- |\n| 001 | Joyce,Beckett,Proust |\n| 002 | Faulkner,Hemingway,Melville |\n| 003 | Joyce,Proust |\n| 004 | Hemingway,Melville |","| 004 | Hemingway,Melville |\n| --- | --- |\n| 005 | Flaubert,Zola |\n| 006 | Hemingway,Golding |",0]
["| Length(s) | HammingDistance |\n| --- | --- |\n| 5,6 | 1 |","| 6,8 | 2 |\n| --- | --- |\n| 9,10,11 | 3 |\n| 12,13,14 | 4 |\n| 15 | 5 |",1]
["| Length(s) | HammingDistance |\n| --- | --- |\n| 5,6 | 1 |","| Name | #ClsSbp | OrigT | SbpT |\n| --- | --- | --- | --- |\n| hamming10-2<br>hamming10-4<br>hamming6-4<br>hamming8-2<br>hamming8-4 | 81<br>1<br>437<br>85<br>253 | 1000<br>886.57<br>0.17<br>1000<br>0.36 | 0.19<br>496.79<br>0.15<br>0.21<br>0.11 |\n| MANNa27<br>MANNa45<br>MANNa81 | 85<br>79<br>79 | 1000<br>1000<br>1000 | 0.24<br>0.20<br>0.19 |\n| hole10<br>hole11<br>hole12<br>hole7<br>hole8<br>hole9 | 758<br>922<br>1102<br>362<br>478<br>610 | 42.11<br>510.90<br>1000<br>0.10<br>0.40<br>3.68 | 0.24<br>0.47<br>1.78<br>0.11<br>0.13<br>0.17 |\n| Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |\n| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 |",0]
["| Length(s) | HammingDistance |\n| --- | --- |\n| 5,6 | 1 |\n| 6,8 | 2 |\n| 9,10,11 | 3 |","| 12,13,14 | 4 |\n| --- | --- |\n| 15 | 5 |",1]
["| Length(s) | HammingDistance |\n| --- | --- |\n| 5,6 | 1 |\n| 6,8 | 2 |\n| 9,10,11 | 3 |","| MANNa27<br>MANNa45<br>MANNa81 | 85<br>79<br>79 | 1000<br>1000<br>1000 | 0.24<br>0.20<br>0.19 |\n| --- | --- | --- | --- |\n| hole10<br>hole11<br>hole12<br>hole7<br>hole8<br>hole9 | 758<br>922<br>1102<br>362<br>478<br>610 | 42.11<br>510.90<br>1000<br>0.10<br>0.40<br>3.68 | 0.24<br>0.47<br>1.78<br>0.11<br>0.13<br>0.17 |\n| Urq35<br>Urq45 | 29<br>43 | 83.33<br>1000 | 0.27<br>50.88 |\n| chnl1011<br>chnl1012<br>chnl1112 | 1954<br>2142<br>2370 | 1000<br>1000<br>1000 | 41.79<br>328.12<br>420.19 |",0]
["| 2xylerfjgat6kf3s.onion:8333 | h2vlpudzphzqxutd.onion:8333 |\n| --- | --- |\n| 2zdgmicx7obtivug.onion:8333 | hkxy4jpeniuwouiv.onion:8333 |\n| 3ffk7iumtx3cegbi.onion:8333 | iksneq25weneygcj.onion:8333 |\n| 3lxko7l4245bxhex.onion:8333 | k22qrck6cetfj655.onion:8333 |\n| 4crhf372poejlc44.onion:8333 | kjy2eqzk4zwi5zd3.onion:8333 |\n| 5k4vwyy5stro33fb.onion:8333 | lazsruhzupsgpvwm.onion:8333 |\n| 6fizop6wctokuxyk.onion:8333 | lfmwsd65ltykrp74.onion:8333 |\n| 6fp3i7f2pbie7w7t.onion:8333 | luruc27g24y7ewwi.onion:8333 |\n| 7g7j54btiaxhtsiy.onion:8333 | pqosrh6wfaucet32.onion:8333 |\n| 7pkm6urc5hlgwlyc.onion:8333 | pt2awtcs2ulm75ig.onion:8333 |\n| b2ykuvob44fn36wo.onion:8333 | pxl7ytsd2aiydadi.onion:8333 |\n| b6fr7dlbu2kpiysf.onion:8333 | qsntokcdbwzmb2i5.onion:8333 |\n| bitcoinostk4e4re.onion:8333 | sbow7bnje2f4gcvt.onion:8333 |\n| bk5ejfe56xakvtkk.onion:8333 | td7tgof3imei3fm6.onion:8333 |\n| btc4xysqsf3mmab4.onion:8333 | tfu4kqfhsw5slqp2.onion:8333 |\n| btcnet3utgzyz2bf.onion:8333 | thfsmmn2jbitcoin.onion:8333 |\n| by4ec3pkia7s7wy2.onion:8333 | ukronionufi6qhtl.onion:8333 |\n| dioq2yg3l5ptgpge.onion:8333 | vqpye2k5rcqvj5mq.onion:8333 |\n| dqretelgl3kjtzei.onion:8333 | wc5nztpe26jrjmoo.onion:8333 |\n| drp4pvejybx2ejdr.onion:8333 | xudkoztdfrsuyyou.onion:8333 |\n| e3tn727fywnioxrc.onion:8333 | z3isvv4llrmv57lh.onion:8333 |","| evolynhit7shzeet.onion:8333 | zc6fabqhrjwdle3b.onion:8333 |\n| --- | --- |\n| gb5ypqt63du3wfhn.onion:8333 | zy3kdqowmrb7xm7h.onion:8333 |",1]
["| 2xylerfjgat6kf3s.onion:8333 | h2vlpudzphzqxutd.onion:8333 |\n| --- | --- |\n| 2zdgmicx7obtivug.onion:8333 | hkxy4jpeniuwouiv.onion:8333 |\n| 3ffk7iumtx3cegbi.onion:8333 | iksneq25weneygcj.onion:8333 |\n| 3lxko7l4245bxhex.onion:8333 | k22qrck6cetfj655.onion:8333 |\n| 4crhf372poejlc44.onion:8333 | kjy2eqzk4zwi5zd3.onion:8333 |\n| 5k4vwyy5stro33fb.onion:8333 | lazsruhzupsgpvwm.onion:8333 |\n| 6fizop6wctokuxyk.onion:8333 | lfmwsd65ltykrp74.onion:8333 |\n| 6fp3i7f2pbie7w7t.onion:8333 | luruc27g24y7ewwi.onion:8333 |\n| 7g7j54btiaxhtsiy.onion:8333 | pqosrh6wfaucet32.onion:8333 |\n| 7pkm6urc5hlgwlyc.onion:8333 | pt2awtcs2ulm75ig.onion:8333 |\n| b2ykuvob44fn36wo.onion:8333 | pxl7ytsd2aiydadi.onion:8333 |\n| b6fr7dlbu2kpiysf.onion:8333 | qsntokcdbwzmb2i5.onion:8333 |\n| bitcoinostk4e4re.onion:8333 | sbow7bnje2f4gcvt.onion:8333 |\n| bk5ejfe56xakvtkk.onion:8333 | td7tgof3imei3fm6.onion:8333 |\n| btc4xysqsf3mmab4.onion:8333 | tfu4kqfhsw5slqp2.onion:8333 |\n| btcnet3utgzyz2bf.onion:8333 | thfsmmn2jbitcoin.onion:8333 |\n| by4ec3pkia7s7wy2.onion:8333 | ukronionufi6qhtl.onion:8333 |\n| dioq2yg3l5ptgpge.onion:8333 | vqpye2k5rcqvj5mq.onion:8333 |\n| dqretelgl3kjtzei.onion:8333 | wc5nztpe26jrjmoo.onion:8333 |\n| drp4pvejybx2ejdr.onion:8333 | xudkoztdfrsuyyou.onion:8333 |\n| e3tn727fywnioxrc.onion:8333 | z3isvv4llrmv57lh.onion:8333 |","| # | Address | Source(s) |\n| --- | --- | --- |\n| 1 | 1PoebUjR5pdH88tc9ECQ1PCLaCrtPnG9fm |  |\n| 2 | 128pJdREzcR6xorYPQAPzGf8RwMQjRBzDt |  |\n| 3 | 15WUYqKerTtxi4rUEmnakw5gRMkr3nZCQd |  |\n| 4 | 1L66AcnbuZkYjs8eE6uVbTUxmorHYGKxFJ |  |\n| 5 | 16REtGSobiQZoprFnXZBR2mSWvRyUSJ3ag |  |\n| 6 | 16Z6sidfLrfNoxJNu4qM5zhRttJEUD3XoB |  |\n| 7 | 12LE1yNak3ZuNTLa95KYR2CQSKb6rZnELb |  |\n| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd |  |\n| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv |  |\n| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 |  |\n| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje |  |\n| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV |  |\n| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc |  |\n| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh |  |\n| 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD |  |\n| And,27otherdistinctaddressesthatarelistedon |  |  |",0]
["| 2xylerfjgat6kf3s.onion:8333 | h2vlpudzphzqxutd.onion:8333 |\n| --- | --- |\n| 2zdgmicx7obtivug.onion:8333 | hkxy4jpeniuwouiv.onion:8333 |\n| 3ffk7iumtx3cegbi.onion:8333 | iksneq25weneygcj.onion:8333 |\n| 3lxko7l4245bxhex.onion:8333 | k22qrck6cetfj655.onion:8333 |\n| 4crhf372poejlc44.onion:8333 | kjy2eqzk4zwi5zd3.onion:8333 |\n| 5k4vwyy5stro33fb.onion:8333 | lazsruhzupsgpvwm.onion:8333 |\n| 6fizop6wctokuxyk.onion:8333 | lfmwsd65ltykrp74.onion:8333 |\n| 6fp3i7f2pbie7w7t.onion:8333 | luruc27g24y7ewwi.onion:8333 |\n| 7g7j54btiaxhtsiy.onion:8333 | pqosrh6wfaucet32.onion:8333 |\n| 7pkm6urc5hlgwlyc.onion:8333 | pt2awtcs2ulm75ig.onion:8333 |\n| b2ykuvob44fn36wo.onion:8333 | pxl7ytsd2aiydadi.onion:8333 |\n| b6fr7dlbu2kpiysf.onion:8333 | qsntokcdbwzmb2i5.onion:8333 |\n| bitcoinostk4e4re.onion:8333 | sbow7bnje2f4gcvt.onion:8333 |\n| bk5ejfe56xakvtkk.onion:8333 | td7tgof3imei3fm6.onion:8333 |\n| btc4xysqsf3mmab4.onion:8333 | tfu4kqfhsw5slqp2.onion:8333 |\n| btcnet3utgzyz2bf.onion:8333 | thfsmmn2jbitcoin.onion:8333 |\n| by4ec3pkia7s7wy2.onion:8333 | ukronionufi6qhtl.onion:8333 |\n| dioq2yg3l5ptgpge.onion:8333 | vqpye2k5rcqvj5mq.onion:8333 |","| dqretelgl3kjtzei.onion:8333 | wc5nztpe26jrjmoo.onion:8333 |\n| --- | --- |\n| drp4pvejybx2ejdr.onion:8333 | xudkoztdfrsuyyou.onion:8333 |\n| e3tn727fywnioxrc.onion:8333 | z3isvv4llrmv57lh.onion:8333 |\n| evolynhit7shzeet.onion:8333 | zc6fabqhrjwdle3b.onion:8333 |\n| gb5ypqt63du3wfhn.onion:8333 | zy3kdqowmrb7xm7h.onion:8333 |",1]
["| 2xylerfjgat6kf3s.onion:8333 | h2vlpudzphzqxutd.onion:8333 |\n| --- | --- |\n| 2zdgmicx7obtivug.onion:8333 | hkxy4jpeniuwouiv.onion:8333 |\n| 3ffk7iumtx3cegbi.onion:8333 | iksneq25weneygcj.onion:8333 |\n| 3lxko7l4245bxhex.onion:8333 | k22qrck6cetfj655.onion:8333 |\n| 4crhf372poejlc44.onion:8333 | kjy2eqzk4zwi5zd3.onion:8333 |\n| 5k4vwyy5stro33fb.onion:8333 | lazsruhzupsgpvwm.onion:8333 |\n| 6fizop6wctokuxyk.onion:8333 | lfmwsd65ltykrp74.onion:8333 |\n| 6fp3i7f2pbie7w7t.onion:8333 | luruc27g24y7ewwi.onion:8333 |\n| 7g7j54btiaxhtsiy.onion:8333 | pqosrh6wfaucet32.onion:8333 |\n| 7pkm6urc5hlgwlyc.onion:8333 | pt2awtcs2ulm75ig.onion:8333 |\n| b2ykuvob44fn36wo.onion:8333 | pxl7ytsd2aiydadi.onion:8333 |\n| b6fr7dlbu2kpiysf.onion:8333 | qsntokcdbwzmb2i5.onion:8333 |\n| bitcoinostk4e4re.onion:8333 | sbow7bnje2f4gcvt.onion:8333 |\n| bk5ejfe56xakvtkk.onion:8333 | td7tgof3imei3fm6.onion:8333 |\n| btc4xysqsf3mmab4.onion:8333 | tfu4kqfhsw5slqp2.onion:8333 |\n| btcnet3utgzyz2bf.onion:8333 | thfsmmn2jbitcoin.onion:8333 |\n| by4ec3pkia7s7wy2.onion:8333 | ukronionufi6qhtl.onion:8333 |\n| dioq2yg3l5ptgpge.onion:8333 | vqpye2k5rcqvj5mq.onion:8333 |","| 8 | 1JYYzNHDaGC7noiE4eKatuYA4AThqVocDd |  |\n| --- | --- | --- |\n| 9 | 1BhLzCZGY6dwQYgX4B6NR5sjDebBPNapvv |  |\n| 10 | 16yd1Wj2NZa2uLZ6W4UDCDJ2Ttw92uFaT7 |  |\n| 11 | 1LGnuv6KX9SXB8eM72dnBAcECeaC8Z2zje |  |\n| 12 | 1L7SLmazbbcy614zsDSLwz4bxz1nnJvDeV |  |\n| 13 | 19yqWit95eFGmUTYDLr3memcDoJiYgUppc |  |\n| 14 | 16N3jvnF7UhRh74TMmtwxpLX6zPQKPbEbh |  |\n| 15 | 1ApF4XayPo7Mtpe326o3xMnSgrkZo7TCWD |  |\n| And,27otherdistinctaddressesthatarelistedon |  |  |",0]
["| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |","| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",1]
["| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |","| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |\n| 0 | 0 | 0 | 5 | 0 |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",0]
["| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |\n| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |","| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",1]
["| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |\n| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |","| 33 | 115 | 885 | 0 | 16 |\n| --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 5 | 0 |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",0]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |","| D→B | 0.773 | 0.7605 | 0.0186 |\n| --- | --- | --- | --- |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",1]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |","| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",0]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |","| E→B | 0.7115 | 0.7185 | 0.4823 |\n| --- | --- | --- | --- |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",1]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |","| B→D | 0.8105 | 0.783 | 0.0011 |\n| --- | --- | --- | --- |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",0]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |","| 2 | 0.120 | 92 | 0.001 | 0.105 | 57 | 0.002 | 0.191 | 22 | 0.009 | 0.218 | 24 | 0.009 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 0.196 | 99 | 0.002 | 0.167 | 55 | 0.003 | 0.281 | 22 | 0.013 | 0.316 | 22 | 0.014 |\n| 4 | 0.303 | 91 | 0.003 | 0.286 | 56 | 0.005 | 0.416 | 22 | 0.019 | 0.446 | 22 | 0.020 |\n| 5 | 0.445 | 96 | 0.005 | 0.396 | 57 | 0.007 | 0.592 | 22 | 0.027 | 0.537 | 22 | 0.024 |\n| 6 | 0.483 | 89 | 0.005 | 0.551 | 57 | 0.010 | 0.727 | 23 | 0.032 | 0.747 | 23 | 0.033 |\n| 7 | 0.643 | 89 | 0.007 | 0.718 | 57 | 0.013 | 0.905 | 23 | 0.039 | 0.923 | 23 | 0.040 |\n| 8 | 0.830 | 90 | 0.009 | 0.773 | 57 | 0.014 | 1.149 | 27 | 0.043 | 1.118 | 24 | 0.047 |\n| 9 | 1.007 | 92 | 0.011 | 1.051 | 57 | 0.018 | 1.339 | 25 | 0.054 | 1.503 | 24 | 0.063 |\n| 10 | 1.196 | 93 | 0.013 | 1.368 | 57 | 0.024 | 1.630 | 25 | 0.065 | 1.598 | 24 | 0.067 |\n| 11 | 1.480 | 94 | 0.016 | 1.380 | 58 | 0.024 | 1.760 | 28 | 0.063 | 1.765 | 24 | 0.074 |\n| Avg. | 0.670 | 93 | 0.007 | 0.679 | 57 | 0.012 | 0.899 | 24 | 0.036 | 0.917 | 23 | 0.039 |",1]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |","|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |\n| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |\n| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 0.120 | 92 | 0.001 | 0.105 | 57 | 0.002 | 0.191 | 22 | 0.009 | 0.218 | 24 | 0.009 |\n| 3 | 0.196 | 99 | 0.002 | 0.167 | 55 | 0.003 | 0.281 | 22 | 0.013 | 0.316 | 22 | 0.014 |\n| 4 | 0.303 | 91 | 0.003 | 0.286 | 56 | 0.005 | 0.416 | 22 | 0.019 | 0.446 | 22 | 0.020 |\n| 5 | 0.445 | 96 | 0.005 | 0.396 | 57 | 0.007 | 0.592 | 22 | 0.027 | 0.537 | 22 | 0.024 |\n| 6 | 0.483 | 89 | 0.005 | 0.551 | 57 | 0.010 | 0.727 | 23 | 0.032 | 0.747 | 23 | 0.033 |\n| 7 | 0.643 | 89 | 0.007 | 0.718 | 57 | 0.013 | 0.905 | 23 | 0.039 | 0.923 | 23 | 0.040 |\n| 8 | 0.830 | 90 | 0.009 | 0.773 | 57 | 0.014 | 1.149 | 27 | 0.043 | 1.118 | 24 | 0.047 |\n| 9 | 1.007 | 92 | 0.011 | 1.051 | 57 | 0.018 | 1.339 | 25 | 0.054 | 1.503 | 24 | 0.063 |","| 10 | 1.196 | 93 | 0.013 | 1.368 | 57 | 0.024 | 1.630 | 25 | 0.065 | 1.598 | 24 | 0.067 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11 | 1.480 | 94 | 0.016 | 1.380 | 58 | 0.024 | 1.760 | 28 | 0.063 | 1.765 | 24 | 0.074 |\n| Avg. | 0.670 | 93 | 0.007 | 0.679 | 57 | 0.012 | 0.899 | 24 | 0.036 | 0.917 | 23 | 0.039 |",1]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 0.120 | 92 | 0.001 | 0.105 | 57 | 0.002 | 0.191 | 22 | 0.009 | 0.218 | 24 | 0.009 |\n| 3 | 0.196 | 99 | 0.002 | 0.167 | 55 | 0.003 | 0.281 | 22 | 0.013 | 0.316 | 22 | 0.014 |\n| 4 | 0.303 | 91 | 0.003 | 0.286 | 56 | 0.005 | 0.416 | 22 | 0.019 | 0.446 | 22 | 0.020 |\n| 5 | 0.445 | 96 | 0.005 | 0.396 | 57 | 0.007 | 0.592 | 22 | 0.027 | 0.537 | 22 | 0.024 |\n| 6 | 0.483 | 89 | 0.005 | 0.551 | 57 | 0.010 | 0.727 | 23 | 0.032 | 0.747 | 23 | 0.033 |\n| 7 | 0.643 | 89 | 0.007 | 0.718 | 57 | 0.013 | 0.905 | 23 | 0.039 | 0.923 | 23 | 0.040 |\n| 8 | 0.830 | 90 | 0.009 | 0.773 | 57 | 0.014 | 1.149 | 27 | 0.043 | 1.118 | 24 | 0.047 |\n| 9 | 1.007 | 92 | 0.011 | 1.051 | 57 | 0.018 | 1.339 | 25 | 0.054 | 1.503 | 24 | 0.063 |","| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |","| 3 | 15.3 | 39.5 | 50.8 |\n| --- | --- | --- | --- |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",1]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |","| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",0]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |","| 6 | 17.2 | 41.8 | 50.7 |\n| --- | --- | --- | --- |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",1]
["| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |","| 2 | 13.8 | 37.9 | 51.0 |\n| --- | --- | --- | --- |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",0]
["| 1E | 2E | 4E |\n| --- | --- | --- |\n| 1 | 2 | 4 |","| 50 | 25 | 12.5 |\n| --- | --- | --- |\n| 24 | 12 | 6 |\n| 1 | 1 | 1 |\n| 5 | 5 | 5 |",1]
["| 1E | 2E | 4E |\n| --- | --- | --- |\n| 1 | 2 | 4 |","| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |\n| 82.4 | 76.8 |\n| 86.4 | 82.2 |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",0]
["| 1E | 2E | 4E |\n| --- | --- | --- |\n| 1 | 2 | 4 |\n| 50 | 25 | 12.5 |","| 24 | 12 | 6 |\n| --- | --- | --- |\n| 1 | 1 | 1 |\n| 5 | 5 | 5 |",1]
["| 1E | 2E | 4E |\n| --- | --- | --- |\n| 1 | 2 | 4 |\n| 50 | 25 | 12.5 |","| 91.4 | 87.6 |\n| --- | --- |\n| 90.2 | 86.1 |",0]
["| Graphs | \\|V\\| | \\|E\\| | 50<br>\\|V\\| | N50 | T50 | 200<br>\\|V\\| | N200 | T200 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |\n| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |",1]
["| Graphs | \\|V\\| | \\|E\\| | 50<br>\\|V\\| | N50 | T50 | 200<br>\\|V\\| | N200 | T200 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |\n| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |","| Graph | \\|V\\|G | \\|E\\|G | dnG | \\|C\\|G | \\|c\\|<br>G | \\|c\\|<br>G | \\|c\\|<br>G |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 |\n| ∆TR | 0.651 | 0.088 | 0.208 | 1.013 | 0.647 | 0.643 | 1 |\n| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",0]
["| Graphs | \\|V\\| | \\|E\\| | 50<br>\\|V\\| | N50 | T50 | 200<br>\\|V\\| | N200 | T200 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |","| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["| Graphs | \\|V\\| | \\|E\\| | 50<br>\\|V\\| | N50 | T50 | 200<br>\\|V\\| | N200 | T200 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |","| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",0]
["| vertices\\edges | m=5000 | m=10000 | m=20000 |\n| --- | --- | --- | --- |\n| n=1000 | [1.10,1.15] | [1.03,1.06] | [0.97,0.99] |\n| vertices\\edges | m=5000 | m=25000 | m=75000 |\n| n=5000 | [1.25,1.29] | [1.01,1.03] | [0.96,0.98] |\n| vertices\\edges | m=10000 | m=50000 | m=150000 |","| n=50000 | [1.30,1.35] | [1.06,1.07] | [0.91,0.92] |\n| --- | --- | --- | --- |\n| vertices\\edges | m=10000 | m=100000 | m=300000 |\n| n=100000 | [1.21,1.23] | [0.98,0.99] | [0.85,0.86] |",1]
["| vertices\\edges | m=5000 | m=10000 | m=20000 |\n| --- | --- | --- | --- |\n| n=1000 | [1.10,1.15] | [1.03,1.06] | [0.97,0.99] |\n| vertices\\edges | m=5000 | m=25000 | m=75000 |\n| n=5000 | [1.25,1.29] | [1.01,1.03] | [0.96,0.98] |\n| vertices\\edges | m=10000 | m=50000 | m=150000 |","| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| vertices\\edges | m=5000 | m=10000 | m=20000 |\n| --- | --- | --- | --- |\n| n=1000 | [1.10,1.15] | [1.03,1.06] | [0.97,0.99] |\n| vertices\\edges | m=5000 | m=25000 | m=75000 |\n| n=5000 | [1.25,1.29] | [1.01,1.03] | [0.96,0.98] |\n| vertices\\edges | m=10000 | m=50000 | m=150000 |","| n=50000 | [1.30,1.35] | [1.06,1.07] | [0.91,0.92] |\n| --- | --- | --- | --- |\n| vertices\\edges | m=10000 | m=100000 | m=300000 |\n| n=100000 | [1.21,1.23] | [0.98,0.99] | [0.85,0.86] |",1]
["| vertices\\edges | m=5000 | m=10000 | m=20000 |\n| --- | --- | --- | --- |\n| n=1000 | [1.10,1.15] | [1.03,1.06] | [0.97,0.99] |\n| vertices\\edges | m=5000 | m=25000 | m=75000 |\n| n=5000 | [1.25,1.29] | [1.01,1.03] | [0.96,0.98] |\n| vertices\\edges | m=10000 | m=50000 | m=150000 |","| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| --- | --- | --- | --- |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | 1−a<br>0<br>a/4<br>3a/4 | myselfupset,spouseneutral→passive:notassertiveness<br>myselfupset,spouseneutral→normal:notcontemplated<br>myselfupset,spouseneutral→upset:assertiveness<br>myselfupset,spouseneutral→violent:aggressiveness |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1−a<br>0<br>0<br>a | myselfupset,spousepassive→passive:notassertiveness<br>myselfupset,spousepassive→normal:notcontemplated<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:aggressiveness |","| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | 1−a<br>0<br>0<br>a | myselfupset,spouseupset→passive:notassertiveness<br>myselfupset,spouseupset→normal:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:aggressiveness |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 1−a<br>0<br>0<br>a | myselfupset,spouseviolent→passive:passivity<br>myselfupset,spouseviolent→normal:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:aggressiveness |",1]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | 1−a<br>0<br>a/4<br>3a/4 | myselfupset,spouseneutral→passive:notassertiveness<br>myselfupset,spouseneutral→normal:notcontemplated<br>myselfupset,spouseneutral→upset:assertiveness<br>myselfupset,spouseneutral→violent:aggressiveness |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1−a<br>0<br>0<br>a | myselfupset,spousepassive→passive:notassertiveness<br>myselfupset,spousepassive→normal:notcontemplated<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:aggressiveness |","| s | si | sj | τ(s\\|s,s)3ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | s<br>0<br>1−s<br>0 | myselfupset,spouseneutral→passive:support<br>myselfupset,spouseneutral→neutral:notcontemplated<br>myselfupset,spouseneutral→upset:lackofsupport<br>myselfupset,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",0]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | 1−a<br>0<br>a/4<br>3a/4 | myselfupset,spouseneutral→passive:notassertiveness<br>myselfupset,spouseneutral→normal:notcontemplated<br>myselfupset,spouseneutral→upset:assertiveness<br>myselfupset,spouseneutral→violent:aggressiveness |","| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1−a<br>0<br>0<br>a | myselfupset,spousepassive→passive:notassertiveness<br>myselfupset,spousepassive→normal:notcontemplated<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:aggressiveness |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | 1−a<br>0<br>0<br>a | myselfupset,spouseupset→passive:notassertiveness<br>myselfupset,spouseupset→normal:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:aggressiveness |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 1−a<br>0<br>0<br>a | myselfupset,spouseviolent→passive:passivity<br>myselfupset,spouseviolent→normal:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:aggressiveness |",1]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | 1−a<br>0<br>a/4<br>3a/4 | myselfupset,spouseneutral→passive:notassertiveness<br>myselfupset,spouseneutral→normal:notcontemplated<br>myselfupset,spouseneutral→upset:assertiveness<br>myselfupset,spouseneutral→violent:aggressiveness |","| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",0]
["| Method | Approximateminimum<br>numberoftraces | Approximateminimum<br>time |\n| --- | --- | --- |\n| Withoutcountermeasures | 50 | 5minutes |\n| Voltageregulator | 50 | 5minutes |\n| Currentsource | 50 | 5minutes |\n| FTDIchip | 200 | 15minutes |","| Zenerdiode | 300 | 20minutes |\n| --- | --- | --- |\n| Anothermicrocontrollerinparallel | 300 | 20minutes |\n| Operationalampliﬁer(UA741) | 4000 | 3.5hours |",1]
["| Method | Approximateminimum<br>numberoftraces | Approximateminimum<br>time |\n| --- | --- | --- |\n| Withoutcountermeasures | 50 | 5minutes |\n| Voltageregulator | 50 | 5minutes |\n| Currentsource | 50 | 5minutes |\n| FTDIchip | 200 | 15minutes |","| Oceancp | Radix |  |  |  |\n| --- | --- | --- | --- | --- |\n| T=400 | T=1,200 | T=400 | T=1,200 |  |\n| Cores | 2 | 2 | 4 | 4 |\n| Frequency | 3200 | 3200 | 3200 | 3200 |\n| L1-ICacheSize | 8 | 128 | 8 | 128 |\n| L1-DCacheSize | 32 | 128 | 64 | 16 |\n| L2CacheSize | 1024 | 512 | 1024 | 512 |\n| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",0]
["| Method | Approximateminimum<br>numberoftraces | Approximateminimum<br>time |\n| --- | --- | --- |\n| Withoutcountermeasures | 50 | 5minutes |\n| Voltageregulator | 50 | 5minutes |","| Currentsource | 50 | 5minutes |\n| --- | --- | --- |\n| FTDIchip | 200 | 15minutes |\n| Zenerdiode | 300 | 20minutes |\n| Anothermicrocontrollerinparallel | 300 | 20minutes |\n| Operationalampliﬁer(UA741) | 4000 | 3.5hours |",1]
["| Method | Approximateminimum<br>numberoftraces | Approximateminimum<br>time |\n| --- | --- | --- |\n| Withoutcountermeasures | 50 | 5minutes |\n| Voltageregulator | 50 | 5minutes |","| L1-DCacheSize | 32 | 128 | 64 | 16 |\n| --- | --- | --- | --- | --- |\n| L2CacheSize | 1024 | 512 | 1024 | 512 |\n| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",0]
["| n | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t(n)C | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 2 |\n| n | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 |\n| t(n)C | 2 | 3 | 3 | 4 | 2 | 4 | 4 | 5 | 4 | 5 | 6 | 9 | 6 | 8 | 8 | 12 | 11 | 12 | 12 | 18 |","| n | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t(n)C | 18 | 21 | 18 | 26 | 28 | 33 | 32 | 40 | 44 | 57 | 53 | 65 | 70 | 89 | 93 | 106 | 115 | 147 | 158 | 184 |",1]
["| n | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t(n)C | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 2 |\n| n | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 |\n| t(n)C | 2 | 3 | 3 | 4 | 2 | 4 | 4 | 5 | 4 | 5 | 6 | 9 | 6 | 8 | 8 | 12 | 11 | 12 | 12 | 18 |","| n | T(n) |\n| --- | --- |\n| 2 | 1 |\n| 3 | 1 |\n| 4 | 4 |\n| 5 | 56 |\n| 6 | 9048 |\n| 7 | 16942080 |\n| 8 | 535281401585 |\n| 9 | 377597570964258 |\n| 10 | 7580721483160132811489280 |\n| 11 | 5.36×10 |\n| 12 | 1.62×10 |\n| 13 | 2.51×10 |\n| 14 | 2.33×10 |\n| 15 | 1.50×10 |",0]
["| n | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t(n)C | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 2 |\n| n | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 |","| t(n)C | 2 | 3 | 3 | 4 | 2 | 4 | 4 | 5 | 4 | 5 | 6 | 9 | 6 | 8 | 8 | 12 | 11 | 12 | 12 | 18 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 |\n| t(n)C | 18 | 21 | 18 | 26 | 28 | 33 | 32 | 40 | 44 | 57 | 53 | 65 | 70 | 89 | 93 | 106 | 115 | 147 | 158 | 184 |",1]
["| n | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t(n)C | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 2 |\n| n | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 |","| 8 | 535281401585 |\n| --- | --- |\n| 9 | 377597570964258 |\n| 10 | 7580721483160132811489280 |\n| 11 | 5.36×10 |\n| 12 | 1.62×10 |\n| 13 | 2.51×10 |\n| 14 | 2.33×10 |\n| 15 | 1.50×10 |",0]
["| SocialAttributes | BaselineI | BaselineII | OurModel |\n| --- | --- | --- | --- |\n| happy | 0.84 | 0.86 | 0.84 |\n| unhappy | 0.75 | 0.81 | 0.80 |\n| friendly | 0.78 | 0.83 | 0.82 |\n| unfriendly | 0.72 | 0.80 | 0.79 |\n| sociable | 0.74 | 0.78 | 0.78 |\n| introverted | 0.50 | 0.64 | 0.65 |\n| attractive | 0.72 | 0.66 | 0.75 |\n| unattractive | 0.62 | 0.62 | 0.70 |\n| kind | 0.72 | 0.79 | 0.79 |\n| mean | 0.69 | 0.75 | 0.73 |\n| caring | 0.72 | 0.78 | 0.79 |\n| cold | 0.71 | 0.81 | 0.79 |\n| trustworthy | 0.62 | 0.72 | 0.73 |\n| untrustworthy | 0.60 | 0.69 | 0.70 |\n| responsible | 0.58 | 0.65 | 0.70 |\n| irresponsible | 0.55 | 0.64 | 0.67 |\n| conﬁdent | 0.55 | 0.55 | 0.61 |\n| uncertain | 0.45 | 0.62 | 0.63 |\n| humble | 0.55 | 0.64 | 0.63 |\n| egotistic | 0.52 | 0.62 | 0.62 |\n| emotionallystable | 0.53 | 0.64 | 0.67 |\n| emotionallyunstable | 0.50 | 0.62 | 0.64 |\n| normal | 0.49 | 0.58 | 0.61 |\n| weird | 0.52 | 0.50 | 0.56 |\n| intelligent | 0.49 | 0.53 | 0.62 |\n| unintelligent | 0.43 | 0.53 | 0.58 |\n| interesting | 0.42 | 0.64 | 0.67 |","| boring | 0.39 | 0.54 | 0.60 |\n| --- | --- | --- | --- |\n| calm | 0.41 | 0.47 | 0.50 |\n| aggressive | 0.65 | 0.72 | 0.72 |\n| emotional | 0.33 | 0.60 | 0.60 |\n| unemotional | 0.56 | 0.76 | 0.75 |\n| memorable | 0.30 | 0.38 | 0.48 |\n| forgettable | 0.27 | 0.40 | 0.48 |\n| typical | 0.28 | 0.41 | 0.43 |\n| atypical | 0.24 | 0.40 | 0.43 |\n| common | 0.25 | 0.37 | 0.40 |\n| uncommon | 0.27 | 0.38 | 0.40 |\n| familiar | 0.24 | 0.42 | 0.44 |\n| unfamiliar | 0.18 | 0.40 | 0.44 |",1]
["| SocialAttributes | BaselineI | BaselineII | OurModel |\n| --- | --- | --- | --- |\n| happy | 0.84 | 0.86 | 0.84 |\n| unhappy | 0.75 | 0.81 | 0.80 |\n| friendly | 0.78 | 0.83 | 0.82 |\n| unfriendly | 0.72 | 0.80 | 0.79 |\n| sociable | 0.74 | 0.78 | 0.78 |\n| introverted | 0.50 | 0.64 | 0.65 |\n| attractive | 0.72 | 0.66 | 0.75 |\n| unattractive | 0.62 | 0.62 | 0.70 |\n| kind | 0.72 | 0.79 | 0.79 |\n| mean | 0.69 | 0.75 | 0.73 |\n| caring | 0.72 | 0.78 | 0.79 |\n| cold | 0.71 | 0.81 | 0.79 |\n| trustworthy | 0.62 | 0.72 | 0.73 |\n| untrustworthy | 0.60 | 0.69 | 0.70 |\n| responsible | 0.58 | 0.65 | 0.70 |\n| irresponsible | 0.55 | 0.64 | 0.67 |\n| conﬁdent | 0.55 | 0.55 | 0.61 |\n| uncertain | 0.45 | 0.62 | 0.63 |\n| humble | 0.55 | 0.64 | 0.63 |\n| egotistic | 0.52 | 0.62 | 0.62 |\n| emotionallystable | 0.53 | 0.64 | 0.67 |\n| emotionallyunstable | 0.50 | 0.62 | 0.64 |\n| normal | 0.49 | 0.58 | 0.61 |\n| weird | 0.52 | 0.50 | 0.56 |\n| intelligent | 0.49 | 0.53 | 0.62 |\n| unintelligent | 0.43 | 0.53 | 0.58 |\n| interesting | 0.42 | 0.64 | 0.67 |","| Metric | Mean1 | Mean2 |\n| --- | --- | --- |\n| LikedAgent | 2.75 | 3 |\n| LikesAgents | 3.38 | 3.72 |\n| Engaging | 2.75 | 3.14 |\n| Enjoyment | 2.75 | 3.14 |\n| Vocabulary | 2.63 | 2.72 |\n| Naturalness | 1.88 | 2.15 |\n| Clarity | 2.63 | 2.86 |\n| BackgroundKnowledge | 3.63 | 3.43 |\n| BackgroundExperience | 2.75 | 2.57 |\n| AgentsBehaviors | 2.63 | 2.72 |\n| ConversationalAbilities | 3.13 | 3.01 |\n| EmpathicAbilities | 3.13 | 2.86 |",0]
["| SocialAttributes | BaselineI | BaselineII | OurModel |\n| --- | --- | --- | --- |\n| happy | 0.84 | 0.86 | 0.84 |\n| unhappy | 0.75 | 0.81 | 0.80 |\n| friendly | 0.78 | 0.83 | 0.82 |\n| unfriendly | 0.72 | 0.80 | 0.79 |\n| sociable | 0.74 | 0.78 | 0.78 |\n| introverted | 0.50 | 0.64 | 0.65 |\n| attractive | 0.72 | 0.66 | 0.75 |\n| unattractive | 0.62 | 0.62 | 0.70 |\n| kind | 0.72 | 0.79 | 0.79 |\n| mean | 0.69 | 0.75 | 0.73 |","| caring | 0.72 | 0.78 | 0.79 |\n| --- | --- | --- | --- |\n| cold | 0.71 | 0.81 | 0.79 |\n| trustworthy | 0.62 | 0.72 | 0.73 |\n| untrustworthy | 0.60 | 0.69 | 0.70 |\n| responsible | 0.58 | 0.65 | 0.70 |\n| irresponsible | 0.55 | 0.64 | 0.67 |\n| conﬁdent | 0.55 | 0.55 | 0.61 |\n| uncertain | 0.45 | 0.62 | 0.63 |\n| humble | 0.55 | 0.64 | 0.63 |\n| egotistic | 0.52 | 0.62 | 0.62 |\n| emotionallystable | 0.53 | 0.64 | 0.67 |\n| emotionallyunstable | 0.50 | 0.62 | 0.64 |\n| normal | 0.49 | 0.58 | 0.61 |\n| weird | 0.52 | 0.50 | 0.56 |\n| intelligent | 0.49 | 0.53 | 0.62 |\n| unintelligent | 0.43 | 0.53 | 0.58 |\n| interesting | 0.42 | 0.64 | 0.67 |\n| boring | 0.39 | 0.54 | 0.60 |\n| calm | 0.41 | 0.47 | 0.50 |\n| aggressive | 0.65 | 0.72 | 0.72 |\n| emotional | 0.33 | 0.60 | 0.60 |\n| unemotional | 0.56 | 0.76 | 0.75 |\n| memorable | 0.30 | 0.38 | 0.48 |\n| forgettable | 0.27 | 0.40 | 0.48 |\n| typical | 0.28 | 0.41 | 0.43 |\n| atypical | 0.24 | 0.40 | 0.43 |\n| common | 0.25 | 0.37 | 0.40 |\n| uncommon | 0.27 | 0.38 | 0.40 |\n| familiar | 0.24 | 0.42 | 0.44 |\n| unfamiliar | 0.18 | 0.40 | 0.44 |",1]
["| SocialAttributes | BaselineI | BaselineII | OurModel |\n| --- | --- | --- | --- |\n| happy | 0.84 | 0.86 | 0.84 |\n| unhappy | 0.75 | 0.81 | 0.80 |\n| friendly | 0.78 | 0.83 | 0.82 |\n| unfriendly | 0.72 | 0.80 | 0.79 |\n| sociable | 0.74 | 0.78 | 0.78 |\n| introverted | 0.50 | 0.64 | 0.65 |\n| attractive | 0.72 | 0.66 | 0.75 |\n| unattractive | 0.62 | 0.62 | 0.70 |\n| kind | 0.72 | 0.79 | 0.79 |\n| mean | 0.69 | 0.75 | 0.73 |","| Naturalness | 1.88 | 2.15 |\n| --- | --- | --- |\n| Clarity | 2.63 | 2.86 |\n| BackgroundKnowledge | 3.63 | 3.43 |\n| BackgroundExperience | 2.75 | 2.57 |\n| AgentsBehaviors | 2.63 | 2.72 |\n| ConversationalAbilities | 3.13 | 3.01 |\n| EmpathicAbilities | 3.13 | 2.86 |",0]
["| Problemsize | Processorconﬁgurations |\n| --- | --- |\n| 8000(LU,MM) | 1×2,2×2,2×4,4×4,4×5,5×5,5×8 |\n| 12000(LU,MM) | 1×2,2×2,2×3,3×3,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 14000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×7,7×7 |","| 16000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| --- | --- |\n| 20000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| 21000(LU,MM) | 2×2,2×3,3×3,3×4,4×5,5×5,5×6,6×6,6×7,7×7 |\n| 24000(LU,MM) | 2×4,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 8000(Jacobi) | 4,8,10,16,20,32,40,50 |\n| 8192(FFT) | 2,4,8,16,32 |\n| 20000(Master-worker) | 4,6,8,10,12,14,16,18,20,22 |",1]
["| Problemsize | Processorconﬁgurations |\n| --- | --- |\n| 8000(LU,MM) | 1×2,2×2,2×4,4×4,4×5,5×5,5×8 |\n| 12000(LU,MM) | 1×2,2×2,2×3,3×3,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 14000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×7,7×7 |","| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |\n| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |\n| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |\n| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |\n| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["| Problemsize | Processorconﬁgurations |\n| --- | --- |\n| 8000(LU,MM) | 1×2,2×2,2×4,4×4,4×5,5×5,5×8 |\n| 12000(LU,MM) | 1×2,2×2,2×3,3×3,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 14000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×7,7×7 |","| 16000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| --- | --- |\n| 20000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| 21000(LU,MM) | 2×2,2×3,3×3,3×4,4×5,5×5,5×6,6×6,6×7,7×7 |\n| 24000(LU,MM) | 2×4,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 8000(Jacobi) | 4,8,10,16,20,32,40,50 |\n| 8192(FFT) | 2,4,8,16,32 |\n| 20000(Master-worker) | 4,6,8,10,12,14,16,18,20,22 |",1]
["| Problemsize | Processorconﬁgurations |\n| --- | --- |\n| 8000(LU,MM) | 1×2,2×2,2×4,4×4,4×5,5×5,5×8 |\n| 12000(LU,MM) | 1×2,2×2,2×3,3×3,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 14000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×7,7×7 |","| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |\n| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |\n| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["| Methods | Accuracy | FeatureDimensions |\n| --- | --- | --- |\n| COLOR-RCC(256) | 0.716 | 32896 |","| PRICoLBP | 0.516 | 17700 |\n| --- | --- | --- |\n| SIFT-IFV(512) | 0.774 | 71749 |\n| AlexNet | 0.698 | – |\n| Our | 0.805 | – |",1]
["| Methods | Accuracy | FeatureDimensions |\n| --- | --- | --- |\n| COLOR-RCC(256) | 0.716 | 32896 |","| Accuracy | Features |\n| --- | --- |\n| 0.823 | 41 |\n| 0.831 | 214 |\n| 0.836 | 72 |\n| 0.838 | 0 |\n| 0.842 | 0 |\n| 0.846 | 137 |",0]
["| Methods | Accuracy | FeatureDimensions |\n| --- | --- | --- |\n| COLOR-RCC(256) | 0.716 | 32896 |\n| PRICoLBP | 0.516 | 17700 |\n| SIFT-IFV(512) | 0.774 | 71749 |","| AlexNet | 0.698 | – |\n| --- | --- | --- |\n| Our | 0.805 | – |",1]
["| Methods | Accuracy | FeatureDimensions |\n| --- | --- | --- |\n| COLOR-RCC(256) | 0.716 | 32896 |\n| PRICoLBP | 0.516 | 17700 |\n| SIFT-IFV(512) | 0.774 | 71749 |","| 0.831 | 214 |\n| --- | --- |\n| 0.836 | 72 |\n| 0.838 | 0 |\n| 0.842 | 0 |\n| 0.846 | 137 |",0]
["| mass |\n| --- |\n| 20 |","| 20 |\n| --- |\n| 24 |\n| 24 |",1]
["| mass |\n| --- |\n| 20 |","| 1E | 2E | 4E |\n| --- | --- | --- |\n| 1 | 2 | 4 |\n| 50 | 25 | 12.5 |\n| 24 | 12 | 6 |\n| 1 | 1 | 1 |\n| 5 | 5 | 5 |",0]
["| mass |\n| --- |\n| 20 |\n| 20 |","| 24 |\n| --- |\n| 24 |",1]
["| mass |\n| --- |\n| 20 |\n| 20 |","| 1 | 1 | 1 |\n| --- | --- | --- |\n| 5 | 5 | 5 |",0]
["| Category | Code | Method | n4 | s4 | n3 | s3 | n | s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Centrality | OR1R<br>OR2<br>OR2R<br>OR3R<br>OR4 | leastsimilartocentroid<br>highestlexrank<br>smallestlexrank<br>smallcluster<br>tﬁdf | 308<br>302<br>317<br>468<br>474 | -2.73<br>1.39<br>-0.61<br>-4.40<br>-4.93 | 453<br>457<br>450<br>581<br>596 | -2.14<br>1.11<br>-0.58<br>-3.94<br>-4.36 | 846<br>846<br>846<br>848<br>850 | -1.26<br>0.59<br>-0.29<br>-2.85<br>-3.24 |\n| NewYorker | NY1<br>NY2<br>NY3 | oﬃcialwinner<br>oﬃcialrunnerup<br>oﬃcialthirdplace | 314<br>330<br>276 | 3.57<br>3.24<br>2.29 | 466<br>463<br>435 | 2.96<br>2.60<br>1.57 | 847<br>845<br>842 | 1.78<br>1.54<br>0.89 |","| General | GE1<br>GE2<br>GE3R | syntacticallycomplex<br>concrete<br>wellformatted | 268<br>259<br>296 | -0.10<br>-0.33<br>0.81 | 406<br>427<br>446 | -0.14<br>-0.41<br>0.61 | 846<br>844<br>846 | -0.70<br>-0.26<br>0.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Content | CU1<br>CU2<br>CU2R<br>CU3 | freebase<br>positivesentiment<br>negativesentiment<br>people | 290<br>268<br>298<br>276 | 0.26<br>1.21<br>1.69<br>1.45 | 424<br>396<br>445<br>409 | 0.17<br>0.83<br>1.30<br>1.24 | 840<br>836<br>826<br>834 | 0.07<br>0.46<br>0.70<br>0.68 |\n| Control | CO2 | antijoke | 259 | 0.27 | 394 | -0.04 | 822 | -0.09 |",1]
["| Category | Code | Method | n4 | s4 | n3 | s3 | n | s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Centrality | OR1R<br>OR2<br>OR2R<br>OR3R<br>OR4 | leastsimilartocentroid<br>highestlexrank<br>smallestlexrank<br>smallcluster<br>tﬁdf | 308<br>302<br>317<br>468<br>474 | -2.73<br>1.39<br>-0.61<br>-4.40<br>-4.93 | 453<br>457<br>450<br>581<br>596 | -2.14<br>1.11<br>-0.58<br>-3.94<br>-4.36 | 846<br>846<br>846<br>848<br>850 | -1.26<br>0.59<br>-0.29<br>-2.85<br>-3.24 |\n| NewYorker | NY1<br>NY2<br>NY3 | oﬃcialwinner<br>oﬃcialrunnerup<br>oﬃcialthirdplace | 314<br>330<br>276 | 3.57<br>3.24<br>2.29 | 466<br>463<br>435 | 2.96<br>2.60<br>1.57 | 847<br>845<br>842 | 1.78<br>1.54<br>0.89 |","| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 |\n| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |\n| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 |\n| MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 |\n| LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |",0]
["| Category | Code | Method | n4 | s4 | n3 | s3 | n | s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Centrality | OR1R<br>OR2<br>OR2R<br>OR3R<br>OR4 | leastsimilartocentroid<br>highestlexrank<br>smallestlexrank<br>smallcluster<br>tﬁdf | 308<br>302<br>317<br>468<br>474 | -2.73<br>1.39<br>-0.61<br>-4.40<br>-4.93 | 453<br>457<br>450<br>581<br>596 | -2.14<br>1.11<br>-0.58<br>-3.94<br>-4.36 | 846<br>846<br>846<br>848<br>850 | -1.26<br>0.59<br>-0.29<br>-2.85<br>-3.24 |","| NewYorker | NY1<br>NY2<br>NY3 | oﬃcialwinner<br>oﬃcialrunnerup<br>oﬃcialthirdplace | 314<br>330<br>276 | 3.57<br>3.24<br>2.29 | 466<br>463<br>435 | 2.96<br>2.60<br>1.57 | 847<br>845<br>842 | 1.78<br>1.54<br>0.89 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| General | GE1<br>GE2<br>GE3R | syntacticallycomplex<br>concrete<br>wellformatted | 268<br>259<br>296 | -0.10<br>-0.33<br>0.81 | 406<br>427<br>446 | -0.14<br>-0.41<br>0.61 | 846<br>844<br>846 | -0.70<br>-0.26<br>0.31 |\n| Content | CU1<br>CU2<br>CU2R<br>CU3 | freebase<br>positivesentiment<br>negativesentiment<br>people | 290<br>268<br>298<br>276 | 0.26<br>1.21<br>1.69<br>1.45 | 424<br>396<br>445<br>409 | 0.17<br>0.83<br>1.30<br>1.24 | 840<br>836<br>826<br>834 | 0.07<br>0.46<br>0.70<br>0.68 |\n| Control | CO2 | antijoke | 259 | 0.27 | 394 | -0.04 | 822 | -0.09 |",1]
["| Category | Code | Method | n4 | s4 | n3 | s3 | n | s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Centrality | OR1R<br>OR2<br>OR2R<br>OR3R<br>OR4 | leastsimilartocentroid<br>highestlexrank<br>smallestlexrank<br>smallcluster<br>tﬁdf | 308<br>302<br>317<br>468<br>474 | -2.73<br>1.39<br>-0.61<br>-4.40<br>-4.93 | 453<br>457<br>450<br>581<br>596 | -2.14<br>1.11<br>-0.58<br>-3.94<br>-4.36 | 846<br>846<br>846<br>848<br>850 | -1.26<br>0.59<br>-0.29<br>-2.85<br>-3.24 |","| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |\n| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 |\n| MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 |\n| LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |",0]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |\n|  | Π=64.30 | Π=64.34 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |","|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |\n|  | Π=62.15 | Π=61.43 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |\n|  | Π=321.375 | Π=321.368 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |\n|  | Π=354.558 | Π=354.55 |  |  |  |  |  |  |  |  |",0]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=64.30 | Π=64.34 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=354.558 | Π=354.55 |  |  |  |  |  |  |  |  |",0]
["|  | CIF<br>Xvidx264SVC |  |  |\n| --- | --- | --- | --- |\n| System1 | 1.1 | 0.9 | 387.7 |\n| System2 | 4.1 | 7.2 | 947.8 |\n|  | 4CIF<br>Xvidx264SVC |  |  |\n| System1 | 12.1 | 7.8 | 2778.5 |","| System2 | 42.1 | 60.8 | 8155.4 |\n| --- | --- | --- | --- |\n|  | HD<br>Xvidx264SVC |  |  |\n| System1 | 15.3 | 7.7 | 3902.1 |\n| System2 | 41.6 | 60.1 | 9575.8 |",1]
["|  | CIF<br>Xvidx264SVC |  |  |\n| --- | --- | --- | --- |\n| System1 | 1.1 | 0.9 | 387.7 |\n| System2 | 4.1 | 7.2 | 947.8 |\n|  | 4CIF<br>Xvidx264SVC |  |  |\n| System1 | 12.1 | 7.8 | 2778.5 |","|  | Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |\n| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |  |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |  |",0]
["|  | CIF<br>Xvidx264SVC |  |  |\n| --- | --- | --- | --- |\n| System1 | 1.1 | 0.9 | 387.7 |\n| System2 | 4.1 | 7.2 | 947.8 |\n|  | 4CIF<br>Xvidx264SVC |  |  |\n| System1 | 12.1 | 7.8 | 2778.5 |\n| System2 | 42.1 | 60.8 | 8155.4 |\n|  | HD<br>Xvidx264SVC |  |  |","| System1 | 15.3 | 7.7 | 3902.1 |\n| --- | --- | --- | --- |\n| System2 | 41.6 | 60.1 | 9575.8 |",1]
["|  | CIF<br>Xvidx264SVC |  |  |\n| --- | --- | --- | --- |\n| System1 | 1.1 | 0.9 | 387.7 |\n| System2 | 4.1 | 7.2 | 947.8 |\n|  | 4CIF<br>Xvidx264SVC |  |  |\n| System1 | 12.1 | 7.8 | 2778.5 |\n| System2 | 42.1 | 60.8 | 8155.4 |\n|  | HD<br>Xvidx264SVC |  |  |","| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |",0]
["| 104.4 | 92.7 | 46.1 | 68.5 | 51.0 | 36.3 | 75.9 | 87.6 | 32.7 | 177.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.7 | 80.9 | 82.3 | 104.3 | 3190.5 | 39.4 | 68.9 | 88.8 | 31.6 | 182.8 |","| 69.2 | 64.6 | 44.1 | 64.3 | 40.4 | 31.1 | 53.2 | 63.6 | 27.4 | 124.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 65.9 | 62.0 | 58.7 | 79.9 | 141.5 | 29.5 | 46.4 | 65.3 | 26.0 | 131.1 |\n| 91.6 | 82.9 | 82.0 | 105.0 | 124.2 | 35.6 | 76.5 | 104.0 | 30.8 | 189.3 |",1]
["| 104.4 | 92.7 | 46.1 | 68.5 | 51.0 | 36.3 | 75.9 | 87.6 | 32.7 | 177.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.7 | 80.9 | 82.3 | 104.3 | 3190.5 | 39.4 | 68.9 | 88.8 | 31.6 | 182.8 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| 104.4 | 92.7 | 46.1 | 68.5 | 51.0 | 36.3 | 75.9 | 87.6 | 32.7 | 177.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.7 | 80.9 | 82.3 | 104.3 | 3190.5 | 39.4 | 68.9 | 88.8 | 31.6 | 182.8 |\n| 69.2 | 64.6 | 44.1 | 64.3 | 40.4 | 31.1 | 53.2 | 63.6 | 27.4 | 124.7 |","| 65.9 | 62.0 | 58.7 | 79.9 | 141.5 | 29.5 | 46.4 | 65.3 | 26.0 | 131.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 91.6 | 82.9 | 82.0 | 105.0 | 124.2 | 35.6 | 76.5 | 104.0 | 30.8 | 189.3 |",1]
["| 104.4 | 92.7 | 46.1 | 68.5 | 51.0 | 36.3 | 75.9 | 87.6 | 32.7 | 177.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.7 | 80.9 | 82.3 | 104.3 | 3190.5 | 39.4 | 68.9 | 88.8 | 31.6 | 182.8 |\n| 69.2 | 64.6 | 44.1 | 64.3 | 40.4 | 31.1 | 53.2 | 63.6 | 27.4 | 124.7 |","| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Direction | Discuss | Eat | Greet | Phone | Pose | Purchase |\n| --- | --- | --- | --- | --- | --- | --- |\n| 89.9<br>65.0<br>69.5<br>68.7<br>74.4<br>57.5<br>58.6 | 97.6<br>73.5<br>80.2<br>74.8<br>66.7<br>68.6<br>64.6 | 90.0<br>76.8<br>78.2<br>67.8<br>67.9<br>59.6<br>63.7 | 107.9<br>86.4<br>87.0<br>76.4<br>75.2<br>67.3<br>62.4 | 107.3<br>86.3<br>100.8<br>76.3<br>77.3<br>78.1<br>66.9 | 93.6<br>68.9<br>76.0<br>84.0<br>70.6<br>56.9<br>57.7 | 136.1<br>74.8<br>69.7<br>70.2<br>64.5<br>69.1<br>62.5 |\n| 57.0<br>52.8 | 58.6<br>54.8 | 57.9<br>54.2 | 58.7<br>54.3 | 67.1<br>61.8 | 54.2<br>53.1 | 65.9<br>53.6 |","| SitDown | Smoke | Photo | Wait | Walk | WalkDog | WalkPair |\n| --- | --- | --- | --- | --- | --- | --- |\n| 240.1<br>173.9<br>113.9<br>113.8<br>127.3<br>117.5<br>103.5 | 106.7<br>85.0<br>89.7<br>78.0<br>79.6<br>69.5<br>65.7 | 139.2<br>110.7<br>102.7<br>98.4<br>79.1<br>82.4<br>70.7 | 106.2<br>85.8<br>98.5<br>90.1<br>73.4<br>68.0<br>61.6 | 87.0<br>71.4<br>79.2<br>62.6<br>67.4<br>55.3<br>56.4 | 114.1<br>86.3<br>82.4<br>75.1<br>71.8<br>76.5<br>69.0 | 90.6<br>73.1<br>77.2<br>73.6<br>72.8<br>61.4<br>59.5 |",1]
["| Direction | Discuss | Eat | Greet | Phone | Pose | Purchase |\n| --- | --- | --- | --- | --- | --- | --- |\n| 89.9<br>65.0<br>69.5<br>68.7<br>74.4<br>57.5<br>58.6 | 97.6<br>73.5<br>80.2<br>74.8<br>66.7<br>68.6<br>64.6 | 90.0<br>76.8<br>78.2<br>67.8<br>67.9<br>59.6<br>63.7 | 107.9<br>86.4<br>87.0<br>76.4<br>75.2<br>67.3<br>62.4 | 107.3<br>86.3<br>100.8<br>76.3<br>77.3<br>78.1<br>66.9 | 93.6<br>68.9<br>76.0<br>84.0<br>70.6<br>56.9<br>57.7 | 136.1<br>74.8<br>69.7<br>70.2<br>64.5<br>69.1<br>62.5 |\n| 57.0<br>52.8 | 58.6<br>54.8 | 57.9<br>54.2 | 58.7<br>54.3 | 67.1<br>61.8 | 54.2<br>53.1 | 65.9<br>53.6 |","| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |\n| Ours | 89.87 | 97.57 | 89.98 | 107.87 | 107.31 | 93.56 | 136.09 | 133.14 |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",0]
["| Direction | Discuss | Eat | Greet | Phone | Pose | Purchase |\n| --- | --- | --- | --- | --- | --- | --- |\n| 89.9<br>65.0<br>69.5<br>68.7<br>74.4<br>57.5<br>58.6 | 97.6<br>73.5<br>80.2<br>74.8<br>66.7<br>68.6<br>64.6 | 90.0<br>76.8<br>78.2<br>67.8<br>67.9<br>59.6<br>63.7 | 107.9<br>86.4<br>87.0<br>76.4<br>75.2<br>67.3<br>62.4 | 107.3<br>86.3<br>100.8<br>76.3<br>77.3<br>78.1<br>66.9 | 93.6<br>68.9<br>76.0<br>84.0<br>70.6<br>56.9<br>57.7 | 136.1<br>74.8<br>69.7<br>70.2<br>64.5<br>69.1<br>62.5 |\n| 57.0<br>52.8 | 58.6<br>54.8 | 57.9<br>54.2 | 58.7<br>54.3 | 67.1<br>61.8 | 54.2<br>53.1 | 65.9<br>53.6 |","| SitDown | Smoke | Photo | Wait | Walk | WalkDog | WalkPair |\n| --- | --- | --- | --- | --- | --- | --- |\n| 240.1<br>173.9<br>113.9<br>113.8<br>127.3<br>117.5<br>103.5 | 106.7<br>85.0<br>89.7<br>78.0<br>79.6<br>69.5<br>65.7 | 139.2<br>110.7<br>102.7<br>98.4<br>79.1<br>82.4<br>70.7 | 106.2<br>85.8<br>98.5<br>90.1<br>73.4<br>68.0<br>61.6 | 87.0<br>71.4<br>79.2<br>62.6<br>67.4<br>55.3<br>56.4 | 114.1<br>86.3<br>82.4<br>75.1<br>71.8<br>76.5<br>69.0 | 90.6<br>73.1<br>77.2<br>73.6<br>72.8<br>61.4<br>59.5 |",1]
["| Direction | Discuss | Eat | Greet | Phone | Pose | Purchase |\n| --- | --- | --- | --- | --- | --- | --- |\n| 89.9<br>65.0<br>69.5<br>68.7<br>74.4<br>57.5<br>58.6 | 97.6<br>73.5<br>80.2<br>74.8<br>66.7<br>68.6<br>64.6 | 90.0<br>76.8<br>78.2<br>67.8<br>67.9<br>59.6<br>63.7 | 107.9<br>86.4<br>87.0<br>76.4<br>75.2<br>67.3<br>62.4 | 107.3<br>86.3<br>100.8<br>76.3<br>77.3<br>78.1<br>66.9 | 93.6<br>68.9<br>76.0<br>84.0<br>70.6<br>56.9<br>57.7 | 136.1<br>74.8<br>69.7<br>70.2<br>64.5<br>69.1<br>62.5 |\n| 57.0<br>52.8 | 58.6<br>54.8 | 57.9<br>54.2 | 58.7<br>54.3 | 67.1<br>61.8 | 54.2<br>53.1 | 65.9<br>53.6 |","| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",0]
["|  | FilteredDomainsOfwhich,hostsexist |\n| --- | --- |\n| China | 97,1675408 |\n| Indonesia | 14791543 |","| Iran | 59704527 |\n| --- | --- |\n| Turkey | 789584 |",1]
["|  | FilteredDomainsOfwhich,hostsexist |\n| --- | --- |\n| China | 97,1675408 |\n| Indonesia | 14791543 |","|  | ExtractedURLsFilteredURLs<br>(HTMLassetsandself-linkingURLsremoved) |\n| --- | --- |\n| China | 33,082,2172,098,264 |\n| Indonesia | 12,580,357835,395 |\n| Iran | 15,381,8731,868,852 |\n| Turkey | 19,250,931913,213 |\n| Totals: | 80,295,3785,715,724 |",0]
["|  | FilteredDomainsOfwhich,hostsexist |\n| --- | --- |\n| China | 97,1675408 |","| Indonesia | 14791543 |\n| --- | --- |\n| Iran | 59704527 |\n| Turkey | 789584 |",1]
["|  | FilteredDomainsOfwhich,hostsexist |\n| --- | --- |\n| China | 97,1675408 |","| Indonesia | 12,580,357835,395 |\n| --- | --- |\n| Iran | 15,381,8731,868,852 |\n| Turkey | 19,250,931913,213 |\n| Totals: | 80,295,3785,715,724 |",0]
["| Model | Valid.<br>Perp. | Test<br>Perp. | Sec./<br>Batch |\n| --- | --- | --- | --- |\n| Baseline | 54.1 | 37.7 | .45 |\n| Multi-Token(L=1) | 54.2 | 37.4 | .82 |","| Multi-Token(L=2) | 53.9 | 36.4 | 4.85 |\n| --- | --- | --- | --- |\n| Multi-Emb(E=2) | 53.8 | 35.2 | 2.53 |",1]
["| Model | Valid.<br>Perp. | Test<br>Perp. | Sec./<br>Batch |\n| --- | --- | --- | --- |\n| Baseline | 54.1 | 37.7 | .45 |\n| Multi-Token(L=1) | 54.2 | 37.4 | .82 |","| Model | Valid.Perp. | TestPerp. |\n| --- | --- | --- |\n| Baseline | 47.64 | 48.62 |\n| Multi-Token(L=1) | 45.69 | 47.21 |\n| Multi-Token(L=2) | 44.15 | 46.12 |\n| Multi-Token(L=3) | 45.19 | 46.84 |\n| Multi-Emb(E=2) | 44.80 | 46.32 |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",0]
["| Model | Valid.<br>Perp. | Test<br>Perp. | Sec./<br>Batch |\n| --- | --- | --- | --- |\n| Baseline | 54.1 | 37.7 | .45 |","| Multi-Token(L=1) | 54.2 | 37.4 | .82 |\n| --- | --- | --- | --- |\n| Multi-Token(L=2) | 53.9 | 36.4 | 4.85 |\n| Multi-Emb(E=2) | 53.8 | 35.2 | 2.53 |",1]
["| Model | Valid.<br>Perp. | Test<br>Perp. | Sec./<br>Batch |\n| --- | --- | --- | --- |\n| Baseline | 54.1 | 37.7 | .45 |","| Multi-Emb(E=2) | 44.80 | 46.32 |\n| --- | --- | --- |\n| Multi-Emb(E=3) | 42.76 | 43.78 |",0]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |","| a2 | 5,2 | 3,3 | 5,2 | 0,1 |\n| --- | --- | --- | --- | --- |\n| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",1]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |","|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |\n| a2 | 5,2 | 7,7 | 5,2 | 0,1 |\n| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",0]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |\n| a2 | 5,2 | 3,3 | 5,2 | 0,1 |","| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| --- | --- | --- | --- | --- |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",1]
["|  | b1 | b2 | b3 | b4 |\n| --- | --- | --- | --- | --- |\n| a1 | 0,7 | 2,5 | 7,0 | 0,1 |\n| a2 | 5,2 | 3,3 | 5,2 | 0,1 |","| a3 | 7,0 | 2,5 | 0,7 | 0,1 |\n| --- | --- | --- | --- | --- |\n| a4 | 0,0 | 0,-2 | 0,0 | 10,-1 |",0]
["| Objectiveevaluation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | SSIM | PSNR | MSE | MI | UIQI |\n| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |\n| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |\n| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |\n| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |","| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |\n| --- | --- | --- | --- | --- | --- |\n| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",1]
["| Objectiveevaluation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | SSIM | PSNR | MSE | MI | UIQI |\n| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |\n| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |\n| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |\n| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |","| Sigma | Index | Methods |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Noisy | LSCD | CBM3D | WLRTR |  |  |\n| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |\n| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 |  |\n| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |\n| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",0]
["| Objectiveevaluation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | SSIM | PSNR | MSE | MI | UIQI |\n| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |\n| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |\n| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |\n| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |","| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |\n| --- | --- | --- | --- | --- | --- |\n| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",1]
["| Objectiveevaluation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | SSIM | PSNR | MSE | MI | UIQI |\n| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |\n| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |\n| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |\n| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |","| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |\n| --- | --- | --- | --- | --- | --- |\n| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 |  |\n| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |\n| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 |  |\n| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |\n| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 |  |",0]
["|  | Bigram/Trigram | PCFG15 | PCFG20 | L1R2 | L2R1 | L2R2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Numberofparameters | 1088/34880 | 3855 | 8640 | 6402 | 6402 | 8514 |","| Iterationstoconvergence | – | 45 | 45 | 19 | 17 | 24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Real-timeconvergence(min) | – | 62 | 142 | 8 | 7 | 14 |\n| H(T,Grammar) | 2.88/2.71 | 3.81 | 3.42 | 2.87 | 2.85 | 2.78 |\n| Crossingbracket(onT) | 66.78 | 93.46 | 93.41 | 93.07 | 93.28 | 94.51 |",1]
["|  | Bigram/Trigram | PCFG15 | PCFG20 | L1R2 | L2R1 | L2R2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Numberofparameters | 1088/34880 | 3855 | 8640 | 6402 | 6402 | 8514 |","| Method | 750 | 3000 | 12000 | 50000 | 200000 |\n| --- | --- | --- | --- | --- | --- |\n| DC | (0.1422,1.5259) | (0.1112,0.4187) | (0.0290,0.2091) | (0.0184,0.1071) | (0.0085,0.0361) |\n| HF | (0.1133,0.3985) | (0.1236,3.0128) | (0.0828,6.2417) | (0.0325,4.7646) | (0.0343,14.158) |\n| (d,d)2∞ |  |  |  |  |  |\n| DC | 0.040 | 0.196 | 1.12 | 5.88 | 59.1 |\n| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| timing(sec) |  |  |  |  |  |",0]
["|  | Bigram/Trigram | PCFG15 | PCFG20 | L1R2 | L2R1 | L2R2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Numberofparameters | 1088/34880 | 3855 | 8640 | 6402 | 6402 | 8514 |","| Iterationstoconvergence | – | 45 | 45 | 19 | 17 | 24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Real-timeconvergence(min) | – | 62 | 142 | 8 | 7 | 14 |\n| H(T,Grammar) | 2.88/2.71 | 3.81 | 3.42 | 2.87 | 2.85 | 2.78 |\n| Crossingbracket(onT) | 66.78 | 93.46 | 93.41 | 93.07 | 93.28 | 94.51 |",1]
["|  | Bigram/Trigram | PCFG15 | PCFG20 | L1R2 | L2R1 | L2R2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Numberofparameters | 1088/34880 | 3855 | 8640 | 6402 | 6402 | 8514 |","| HF | 1.58 | 4.91 | 19.2 | 80.6 | 339 |\n| --- | --- | --- | --- | --- | --- |\n| timing(sec) |  |  |  |  |  |",0]
["|  | Distance(??) | Kinematicjerk(??) |\n| --- | --- | --- |\n| Inexpert–Taskα | 78 | 3190177 |\n| Intermediate-level–Taskα | 28 | 1136228 |\n| Expert–Taskα | 41 | 695616 |","| Inexpert–Taskβ | 39 | 797533 |\n| --- | --- | --- |\n| Intermediate-level–Taskβ | 24 | 674140 |\n| Expert–Taskβ | 22 | 377639 |",1]
["|  | Distance(??) | Kinematicjerk(??) |\n| --- | --- | --- |\n| Inexpert–Taskα | 78 | 3190177 |\n| Intermediate-level–Taskα | 28 | 1136228 |\n| Expert–Taskα | 41 | 695616 |","| Training | Metrics | FSRM | SRM | SRM-B | EFIS-SRM | SC-EFIS-SRM |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 64 | σJ | 24 | CIJ | 55 |\n|  | J | 66 | σJ | 25 | CIJ | 57 |\n|  | J | 63 | σJ | 25 | CIJ | 53 |\n|  | J | 57 | σJ | 29 | CIJ | 46 |\n|  | J | 42 | σJ | 33 | CIJ | 30 |\n|  | J | 63 | σJ | 26 | CIJ | 53 |\n|  | J | 55 | σJ | 30 | CIJ | 44 |\n|  | J | 67 | σJ | 19 | CIJ | 60 |\n|  | J | 47 | σJ | 31 | CIJ | 36 |\n|  | J | 64 | σJ | 28 | CIJ | 54 |",0]
["|  | Distance(??) | Kinematicjerk(??) |\n| --- | --- | --- |\n| Inexpert–Taskα | 78 | 3190177 |","| Intermediate-level–Taskα | 28 | 1136228 |\n| --- | --- | --- |\n| Expert–Taskα | 41 | 695616 |\n| Inexpert–Taskβ | 39 | 797533 |\n| Intermediate-level–Taskβ | 24 | 674140 |\n| Expert–Taskβ | 22 | 377639 |",1]
["|  | Distance(??) | Kinematicjerk(??) |\n| --- | --- | --- |\n| Inexpert–Taskα | 78 | 3190177 |","|  | J | 47 | σJ | 31 | CIJ | 36 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | J | 64 | σJ | 28 | CIJ | 54 |",0]
["| Permission | Requests |\n| --- | --- |\n| ACCESSNETWORKSTATE | 31,206 |\n| WAKELOCK | 23,816 |","| ACCESSFINELOCATION | 5,652 |\n| --- | --- |\n| GETACCOUNTS | 3,411 |\n| ACCESSWIFISTATE | 1,826 |\n| UPDATEDEVICESTATS | 1,426 |\n| ACCESSCOARSELOCATION | 1,277 |\n| AUTHENTICATEACCOUNTS | 644 |\n| READSYNCSETTINGS | 426 |\n| INTERNET | 416 |",1]
["| Permission | Requests |\n| --- | --- |\n| ACCESSNETWORKSTATE | 31,206 |\n| WAKELOCK | 23,816 |","| Description | AccessDescriptor |\n| --- | --- |\n| Read-onlyaccess | access.READ |\n| Write-onlyaccess | access.WRITE |\n| Readandwriteaccess | access.RW |\n| Incrementalaccess | access.INC |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",0]
["| Permission | Requests |\n| --- | --- |\n| ACCESSNETWORKSTATE | 31,206 |\n| WAKELOCK | 23,816 |\n| ACCESSFINELOCATION | 5,652 |","| GETACCOUNTS | 3,411 |\n| --- | --- |\n| ACCESSWIFISTATE | 1,826 |\n| UPDATEDEVICESTATS | 1,426 |\n| ACCESSCOARSELOCATION | 1,277 |\n| AUTHENTICATEACCOUNTS | 644 |\n| READSYNCSETTINGS | 426 |\n| INTERNET | 416 |",1]
["| Permission | Requests |\n| --- | --- |\n| ACCESSNETWORKSTATE | 31,206 |\n| WAKELOCK | 23,816 |\n| ACCESSFINELOCATION | 5,652 |","| Incrementalaccess | access.INC |\n| --- | --- |\n| Incrementalaccess,<br>initialisetozero | access.INCZERO |",0]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 0.89deg | 22mm |\n| wall2 | 1.72deg | 34mm |\n| wall3 | 0.63deg | 62mm |","| wall4 | 0.43deg | 4mm |\n| --- | --- | --- |\n| ﬂoor | 1.40deg | 1mm |\n| ceiling | 2.98deg | 1824mm |",1]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 0.89deg | 22mm |\n| wall2 | 1.72deg | 34mm |\n| wall3 | 0.63deg | 62mm |","|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 1.93deg | 66mm |\n| wall2 | 2.41deg | 68mm |\n| wall3 | 1.99deg | 98mm |\n| wall4 | 3.82deg | 1mm |\n| ﬂoor | 0.82deg | 2mm |\n| ceiling | 3.57deg | 1795mm |",0]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 0.89deg | 22mm |\n| wall2 | 1.72deg | 34mm |\n| wall3 | 0.63deg | 62mm |\n| wall4 | 0.43deg | 4mm |","| ﬂoor | 1.40deg | 1mm |\n| --- | --- | --- |\n| ceiling | 2.98deg | 1824mm |",1]
["|  | angleerror | distanceerror |\n| --- | --- | --- |\n| wall1 | 0.89deg | 22mm |\n| wall2 | 1.72deg | 34mm |\n| wall3 | 0.63deg | 62mm |\n| wall4 | 0.43deg | 4mm |","| wall2 | 2.41deg | 68mm |\n| --- | --- | --- |\n| wall3 | 1.99deg | 98mm |\n| wall4 | 3.82deg | 1mm |\n| ﬂoor | 0.82deg | 2mm |\n| ceiling | 3.57deg | 1795mm |",0]
["|  | FeatureAnalysis | SGPLVM | OurApproach |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Avg. | Max. | Avg. | Max. | Avg. | Max. |\n| LengthLeftFoot | 3.31 | 10.01 | 4.04 | 11.47 | 2.38e-4 | 2.02e-3 |\n| LengthLeftLowerLeg | 1.90 | 6.50 | 4.34 | 11.30 | 4.93e-4 | 1.82e-3 |\n| LengthLeftUpperLeg | 2.08 | 6.79 | 4.09 | 12.07 | 7.79e-4 | 3.48e-3 |\n| LengthRightUpperLeg | 2.38 | 7.67 | 4.14 | 25.71 | 9.56e-4 | 3.62e-3 |\n| LengthRightLowerLeg | 1.99 | 5.48 | 5.00 | 18.91 | 5.57e-4 | 2.49e-3 |\n| LengthRightFoot | 4.37 | 14.33 | 4.84 | 16.70 | 2.09e-4 | 2.28e-3 |\n| LengthUpperBody | 1.71 | 4.90 | 6.93 | 27.67 | 2.99e-4 | 9.91e-4 |\n| RightShoulder-NeckDistance | 1.75 | 6.99 | 3.06 | 9.946 | 1.71e-3 | 6.65e-3 |\n| LengthRightUpperArm | 2.21 | 7.78 | 3.73 | 10.98 | 6.11e-4 | 1.74e-3 |\n| LengthRightLowerArm | 3.17 | 8.89 | 4.36 | 16.95 | 4.42e-4 | 1.79e-3 |\n| LeftShoulder-NeckDistance | 2.37 | 9.85 | 2.82 | 12.77 | 2.12e-3 | 8.50e-3 |\n| LengthLeftUpperArm | 4.24 | 12.36 | 5.16 | 19.17 | 7.16e-4 | 2.2e-3 |\n| LengthLeftLowerArm | 2.46 | 8.35 | 4.89 | 14.14 | 4.79e-4 | 2.21e-3 |\n| Head-NeckDistance | 4.03 | 12.58 | 4.47 | 12.57 | 1.14e-3 | 5.38e-3 |\n| CircumferenceRightKnee | 6.61 | 14.12 | 6.78 | 12.82 | 5.48 | 15.36 |\n| CircumferenceLeftKnee | 6.97 | 24.40 | 7.12 | 18.40 | 6.02 | 24.44 |","| CircumferenceRightArm | 7.98 | 18.35 | 8.55 | 22.62 | 4.62 | 11.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CircumferenceLeftArm | 7.38 | 16.66 | 8.42 | 18.13 | 5.07 | 16.36 |\n| HipCircumference | 10.20 | 26.83 | 18.97 | 110.30 | 5.29 | 40.01 |\n| WaistCircumference | 8.99 | 32.13 | 15.51 | 45.19 | 1.24 | 6.11 |\n| ChestCircumference | 8.32 | 22.50 | 15.87 | 89.53 | 1.29 | 4.08 |\n| HeadCircumference | 10.56 | 27.99 | 11.67 | 28.75 | 8.414 | 26.76 |",1]
["|  | FeatureAnalysis | SGPLVM | OurApproach |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Avg. | Max. | Avg. | Max. | Avg. | Max. |\n| LengthLeftFoot | 3.31 | 10.01 | 4.04 | 11.47 | 2.38e-4 | 2.02e-3 |\n| LengthLeftLowerLeg | 1.90 | 6.50 | 4.34 | 11.30 | 4.93e-4 | 1.82e-3 |\n| LengthLeftUpperLeg | 2.08 | 6.79 | 4.09 | 12.07 | 7.79e-4 | 3.48e-3 |\n| LengthRightUpperLeg | 2.38 | 7.67 | 4.14 | 25.71 | 9.56e-4 | 3.62e-3 |\n| LengthRightLowerLeg | 1.99 | 5.48 | 5.00 | 18.91 | 5.57e-4 | 2.49e-3 |\n| LengthRightFoot | 4.37 | 14.33 | 4.84 | 16.70 | 2.09e-4 | 2.28e-3 |\n| LengthUpperBody | 1.71 | 4.90 | 6.93 | 27.67 | 2.99e-4 | 9.91e-4 |\n| RightShoulder-NeckDistance | 1.75 | 6.99 | 3.06 | 9.946 | 1.71e-3 | 6.65e-3 |\n| LengthRightUpperArm | 2.21 | 7.78 | 3.73 | 10.98 | 6.11e-4 | 1.74e-3 |\n| LengthRightLowerArm | 3.17 | 8.89 | 4.36 | 16.95 | 4.42e-4 | 1.79e-3 |\n| LeftShoulder-NeckDistance | 2.37 | 9.85 | 2.82 | 12.77 | 2.12e-3 | 8.50e-3 |\n| LengthLeftUpperArm | 4.24 | 12.36 | 5.16 | 19.17 | 7.16e-4 | 2.2e-3 |\n| LengthLeftLowerArm | 2.46 | 8.35 | 4.89 | 14.14 | 4.79e-4 | 2.21e-3 |\n| Head-NeckDistance | 4.03 | 12.58 | 4.47 | 12.57 | 1.14e-3 | 5.38e-3 |\n| CircumferenceRightKnee | 6.61 | 14.12 | 6.78 | 12.82 | 5.48 | 15.36 |\n| CircumferenceLeftKnee | 6.97 | 24.40 | 7.12 | 18.40 | 6.02 | 24.44 |","| Name | N | M | var(A) | CLPA | LPA |\n| --- | --- | --- | --- | --- | --- |\n| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |\n| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 |\n| HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |\n| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |\n| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |\n| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |\n| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |\n| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 |\n| DBLP | 0.32M | 1.05M | 2.4 | 0.697 | 0.622 |\n| Amazon | 0.33M | 0.93M | 2.1 | 0.786 | 0.709 |\n| Youtube | 1.13M | 2.99M | 233.9 | 0.682 | 0.555 |",0]
["|  | FeatureAnalysis | SGPLVM | OurApproach |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Avg. | Max. | Avg. | Max. | Avg. | Max. |\n| LengthLeftFoot | 3.31 | 10.01 | 4.04 | 11.47 | 2.38e-4 | 2.02e-3 |\n| LengthLeftLowerLeg | 1.90 | 6.50 | 4.34 | 11.30 | 4.93e-4 | 1.82e-3 |\n| LengthLeftUpperLeg | 2.08 | 6.79 | 4.09 | 12.07 | 7.79e-4 | 3.48e-3 |\n| LengthRightUpperLeg | 2.38 | 7.67 | 4.14 | 25.71 | 9.56e-4 | 3.62e-3 |\n| LengthRightLowerLeg | 1.99 | 5.48 | 5.00 | 18.91 | 5.57e-4 | 2.49e-3 |\n| LengthRightFoot | 4.37 | 14.33 | 4.84 | 16.70 | 2.09e-4 | 2.28e-3 |\n| LengthUpperBody | 1.71 | 4.90 | 6.93 | 27.67 | 2.99e-4 | 9.91e-4 |\n| RightShoulder-NeckDistance | 1.75 | 6.99 | 3.06 | 9.946 | 1.71e-3 | 6.65e-3 |\n| LengthRightUpperArm | 2.21 | 7.78 | 3.73 | 10.98 | 6.11e-4 | 1.74e-3 |\n| LengthRightLowerArm | 3.17 | 8.89 | 4.36 | 16.95 | 4.42e-4 | 1.79e-3 |\n| LeftShoulder-NeckDistance | 2.37 | 9.85 | 2.82 | 12.77 | 2.12e-3 | 8.50e-3 |\n| LengthLeftUpperArm | 4.24 | 12.36 | 5.16 | 19.17 | 7.16e-4 | 2.2e-3 |\n| LengthLeftLowerArm | 2.46 | 8.35 | 4.89 | 14.14 | 4.79e-4 | 2.21e-3 |\n| Head-NeckDistance | 4.03 | 12.58 | 4.47 | 12.57 | 1.14e-3 | 5.38e-3 |\n| CircumferenceRightKnee | 6.61 | 14.12 | 6.78 | 12.82 | 5.48 | 15.36 |\n| CircumferenceLeftKnee | 6.97 | 24.40 | 7.12 | 18.40 | 6.02 | 24.44 |\n| CircumferenceRightArm | 7.98 | 18.35 | 8.55 | 22.62 | 4.62 | 11.17 |\n| CircumferenceLeftArm | 7.38 | 16.66 | 8.42 | 18.13 | 5.07 | 16.36 |\n| HipCircumference | 10.20 | 26.83 | 18.97 | 110.30 | 5.29 | 40.01 |","| WaistCircumference | 8.99 | 32.13 | 15.51 | 45.19 | 1.24 | 6.11 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ChestCircumference | 8.32 | 22.50 | 15.87 | 89.53 | 1.29 | 4.08 |\n| HeadCircumference | 10.56 | 27.99 | 11.67 | 28.75 | 8.414 | 26.76 |",1]
["|  | FeatureAnalysis | SGPLVM | OurApproach |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Avg. | Max. | Avg. | Max. | Avg. | Max. |\n| LengthLeftFoot | 3.31 | 10.01 | 4.04 | 11.47 | 2.38e-4 | 2.02e-3 |\n| LengthLeftLowerLeg | 1.90 | 6.50 | 4.34 | 11.30 | 4.93e-4 | 1.82e-3 |\n| LengthLeftUpperLeg | 2.08 | 6.79 | 4.09 | 12.07 | 7.79e-4 | 3.48e-3 |\n| LengthRightUpperLeg | 2.38 | 7.67 | 4.14 | 25.71 | 9.56e-4 | 3.62e-3 |\n| LengthRightLowerLeg | 1.99 | 5.48 | 5.00 | 18.91 | 5.57e-4 | 2.49e-3 |\n| LengthRightFoot | 4.37 | 14.33 | 4.84 | 16.70 | 2.09e-4 | 2.28e-3 |\n| LengthUpperBody | 1.71 | 4.90 | 6.93 | 27.67 | 2.99e-4 | 9.91e-4 |\n| RightShoulder-NeckDistance | 1.75 | 6.99 | 3.06 | 9.946 | 1.71e-3 | 6.65e-3 |\n| LengthRightUpperArm | 2.21 | 7.78 | 3.73 | 10.98 | 6.11e-4 | 1.74e-3 |\n| LengthRightLowerArm | 3.17 | 8.89 | 4.36 | 16.95 | 4.42e-4 | 1.79e-3 |\n| LeftShoulder-NeckDistance | 2.37 | 9.85 | 2.82 | 12.77 | 2.12e-3 | 8.50e-3 |\n| LengthLeftUpperArm | 4.24 | 12.36 | 5.16 | 19.17 | 7.16e-4 | 2.2e-3 |\n| LengthLeftLowerArm | 2.46 | 8.35 | 4.89 | 14.14 | 4.79e-4 | 2.21e-3 |\n| Head-NeckDistance | 4.03 | 12.58 | 4.47 | 12.57 | 1.14e-3 | 5.38e-3 |\n| CircumferenceRightKnee | 6.61 | 14.12 | 6.78 | 12.82 | 5.48 | 15.36 |\n| CircumferenceLeftKnee | 6.97 | 24.40 | 7.12 | 18.40 | 6.02 | 24.44 |\n| CircumferenceRightArm | 7.98 | 18.35 | 8.55 | 22.62 | 4.62 | 11.17 |\n| CircumferenceLeftArm | 7.38 | 16.66 | 8.42 | 18.13 | 5.07 | 16.36 |\n| HipCircumference | 10.20 | 26.83 | 18.97 | 110.30 | 5.29 | 40.01 |","| HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |\n| --- | --- | --- | --- | --- | --- |\n| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |\n| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |\n| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |\n| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |\n| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 |\n| DBLP | 0.32M | 1.05M | 2.4 | 0.697 | 0.622 |\n| Amazon | 0.33M | 0.93M | 2.1 | 0.786 | 0.709 |\n| Youtube | 1.13M | 2.99M | 233.9 | 0.682 | 0.555 |",0]
["| problem | container<br>size | box<br>types | #<br>boxes | OKP<br>nodes | OPP<br>calls | OPP<br>nodes | opt.<br>boxes | opt.<br>sol. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| beasley1<br>beasley2<br>beasley3<br>beasley4<br>beasley5<br>beasley6<br>beasley7<br>beasley8<br>beasley9<br>beasley10<br>beasley11<br>beasley12 | (10,10)<br>(10,10)<br>(10,10)<br>(15,10)<br>(15,10)<br>(15,10)<br>(20,20)<br>(20,20)<br>(20,20)<br>(30,30)<br>(30,30)<br>(30,30) | 5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10 | 10<br>17<br>21<br>7<br>14<br>15<br>8<br>13<br>18<br>13<br>15<br>22 | 19<br>5<br>25<br>1<br>1<br>15<br>0<br>53<br>3<br>1<br>36<br>48 | 1<br>0<br>6<br>0<br>0<br>5<br>0<br>23<br>0<br>0<br>10<br>14 | 1<br>0<br>36<br>0<br>0<br>5<br>0<br>301<br>0<br>0<br>16<br>105 | 5<br>5<br>7<br>6<br>6<br>7<br>8<br>8<br>11<br>6<br>9<br>9 | 164<br>230<br>247<br>268<br>358<br>289<br>430<br>834<br>924<br>1452<br>1688<br>1865 |\n| hadchr3<br>hadchr7<br>hadchr8<br>hadchr11<br>hadchr12 | (30,30)<br>(30,30)<br>(40,40)<br>(30,30)<br>(40,40) | 7<br>10<br>10<br>15<br>15 | 7<br>22<br>10<br>15<br>15 | 1<br>48<br>7<br>30<br>5 | 0<br>14<br>0<br>1<br>0 | 0<br>105<br>0<br>1<br>0 | 5<br>9<br>6<br>5<br>7 | 1178<br>1865<br>2517<br>1270<br>2949 |","| wang20<br>chrwhi62 | (70,40)<br>(40,70) | 20<br>20 | 42<br>62 | 794<br>356 | 176<br>102 | 1003<br>7991 | 8<br>10 | 2726<br>1860 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3<br>3s<br>A1<br>A1s<br>A2<br>A2s<br>CHL2<br>CHL2s<br>CHL3<br>CHL3s<br>CHL4<br>CHL4s<br>CHL5 | (40,70)<br>(40,70)<br>(50,60)<br>(50,60)<br>(60,60)<br>(60,60)<br>(62,55)<br>(62,55)<br>(157,121)<br>(157,121)<br>(207,231)<br>(207,231)<br>(30,20) | 20<br>20<br>20<br>20<br>20<br>20<br>10<br>10<br>15<br>15<br>15<br>15<br>10 | 62<br>62<br>62<br>62<br>53<br>53<br>19<br>19<br>35<br>35<br>27<br>27<br>18 | 356<br>757<br>935<br>4291<br>267<br>8598<br>688<br>1419<br>0<br>0<br>0<br>0<br>363 | 102<br>166<br>254<br>504<br>70<br>2365<br>317<br>557<br>0<br>0<br>0<br>0<br>194 | 7991<br>3050<br>19283<br>8156<br>35747<br>143002<br>225011<br>158450<br>0<br>0<br>0<br>0<br>57115 | 10<br>8<br>11<br>7<br>11<br>8<br>9<br>10<br>35<br>35<br>27<br>27<br>11 | 1860<br>2726<br>2020<br>2956<br>2615<br>3535<br>2326<br>3336<br>5283<br>7402<br>8998<br>13932<br>589 |\n| cgcut1<br>cgcut2<br>cgcut3 | (15,10)<br>(40,70)<br>(40,70) | 7<br>10<br>20 | 16<br>23<br>62 | 14<br>356 | 1<br>102 | 1<br>7991 | 8<br>12<br>10 | 244<br>2892<br>1860 |\n| gcut01<br>gcut02<br>gcut03<br>gcut04<br>gcut05<br>gcut06<br>gcut07<br>gcut08<br>gcut09<br>gcut10<br>gcut11<br>gcut12<br>gcut13 | (250,250)<br>(250,250)<br>(250,250)<br>(250,250)<br>(500,500)<br>(500,500)<br>(500,500)<br>(500,500)<br>(1000,1000)<br>(1000,1000)<br>(1000,1000)<br>(1000,1000)<br>(3000,3000) | 10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>32 | 10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>32 | 33<br>519<br>2234<br>72159<br>52<br>278<br>852<br>55485<br>12<br>335<br>1616<br>8178 | 0<br>51<br>235<br>18316<br>13<br>22<br>124<br>9037<br>2<br>31<br>212<br>593 | 0<br>78<br>742<br>145057<br>13<br>22<br>152<br>15970<br>8<br>40<br>463<br>1236 | 3<br>6<br>6<br>4<br>5<br>4<br>4<br>4<br>5<br>5<br>6<br>5 | 48368<br>59798<br>61275<br>61380<br>195582<br>236305<br>240143<br>245758<br>939600<br>937349<br>969709<br>979521<br>≥8622498<br>≤9000000 |\n| okp1<br>okp2<br>okp3<br>okp4<br>okp5 | (100,100)<br>(100,100)<br>(100,100)<br>(100,100)<br>(100,100) | 15<br>30<br>30<br>33<br>29 | 50<br>30<br>30<br>61<br>97 | 3244<br>23626<br>8233<br>1458<br>5733 | 661<br>7310<br>816<br>15<br>643 | 35523<br>8721<br>921<br>50<br>13600 | 11<br>11<br>11<br>10<br>8 | 27718<br>22502<br>24019<br>32893<br>27923 |",1]
["| problem | container<br>size | box<br>types | #<br>boxes | OKP<br>nodes | OPP<br>calls | OPP<br>nodes | opt.<br>boxes | opt.<br>sol. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| beasley1<br>beasley2<br>beasley3<br>beasley4<br>beasley5<br>beasley6<br>beasley7<br>beasley8<br>beasley9<br>beasley10<br>beasley11<br>beasley12 | (10,10)<br>(10,10)<br>(10,10)<br>(15,10)<br>(15,10)<br>(15,10)<br>(20,20)<br>(20,20)<br>(20,20)<br>(30,30)<br>(30,30)<br>(30,30) | 5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10 | 10<br>17<br>21<br>7<br>14<br>15<br>8<br>13<br>18<br>13<br>15<br>22 | 19<br>5<br>25<br>1<br>1<br>15<br>0<br>53<br>3<br>1<br>36<br>48 | 1<br>0<br>6<br>0<br>0<br>5<br>0<br>23<br>0<br>0<br>10<br>14 | 1<br>0<br>36<br>0<br>0<br>5<br>0<br>301<br>0<br>0<br>16<br>105 | 5<br>5<br>7<br>6<br>6<br>7<br>8<br>8<br>11<br>6<br>9<br>9 | 164<br>230<br>247<br>268<br>358<br>289<br>430<br>834<br>924<br>1452<br>1688<br>1865 |\n| hadchr3<br>hadchr7<br>hadchr8<br>hadchr11<br>hadchr12 | (30,30)<br>(30,30)<br>(40,40)<br>(30,30)<br>(40,40) | 7<br>10<br>10<br>15<br>15 | 7<br>22<br>10<br>15<br>15 | 1<br>48<br>7<br>30<br>5 | 0<br>14<br>0<br>1<br>0 | 0<br>105<br>0<br>1<br>0 | 5<br>9<br>6<br>5<br>7 | 1178<br>1865<br>2517<br>1270<br>2949 |","| Class | m | \\|V\\| | Solved<br>(outof10) | #OKPnodes | #OPPnodes |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | Av | Max | Min | Av | Max |  |  |  |  |\n| I | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>9<br>8 | 5<br>19<br>40<br>31<br>82 | 57<br>307<br>933<br>231<br>336 | 174<br>914<br>3826<br>677<br>943 | 0<br>0<br>0<br>1<br>234 | 8<br>158<br>431<br>287<br>147864 | 23<br>969<br>2411<br>1018<br>727719 |\n| II | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>8<br>7<br>6 | 6<br>28<br>32<br>36<br>62 | 139<br>548<br>5062<br>297<br>536 | 1038<br>1568<br>28754<br>571<br>1110 | 0<br>0<br>2<br>5<br>83 | 305<br>2873<br>14910<br>237144<br>168530 | 2699<br>26866<br>84975<br>1633573<br>280688 |\n| III | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>8<br>2 | 3<br>82<br>342<br>31<br>96 | 117<br>737<br>3865<br>1006<br>196 | 516<br>1860<br>10655<br>4064<br>296 | 0<br>3<br>745<br>3<br>241 | 299<br>10588<br>62065<br>345130<br>85729 | 1169<br>53510<br>416200<br>1174938<br>171218 |",0]
["| problem | container<br>size | box<br>types | #<br>boxes | OKP<br>nodes | OPP<br>calls | OPP<br>nodes | opt.<br>boxes | opt.<br>sol. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| beasley1<br>beasley2<br>beasley3<br>beasley4<br>beasley5<br>beasley6<br>beasley7<br>beasley8<br>beasley9<br>beasley10<br>beasley11<br>beasley12 | (10,10)<br>(10,10)<br>(10,10)<br>(15,10)<br>(15,10)<br>(15,10)<br>(20,20)<br>(20,20)<br>(20,20)<br>(30,30)<br>(30,30)<br>(30,30) | 5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10 | 10<br>17<br>21<br>7<br>14<br>15<br>8<br>13<br>18<br>13<br>15<br>22 | 19<br>5<br>25<br>1<br>1<br>15<br>0<br>53<br>3<br>1<br>36<br>48 | 1<br>0<br>6<br>0<br>0<br>5<br>0<br>23<br>0<br>0<br>10<br>14 | 1<br>0<br>36<br>0<br>0<br>5<br>0<br>301<br>0<br>0<br>16<br>105 | 5<br>5<br>7<br>6<br>6<br>7<br>8<br>8<br>11<br>6<br>9<br>9 | 164<br>230<br>247<br>268<br>358<br>289<br>430<br>834<br>924<br>1452<br>1688<br>1865 |\n| hadchr3<br>hadchr7<br>hadchr8<br>hadchr11<br>hadchr12 | (30,30)<br>(30,30)<br>(40,40)<br>(30,30)<br>(40,40) | 7<br>10<br>10<br>15<br>15 | 7<br>22<br>10<br>15<br>15 | 1<br>48<br>7<br>30<br>5 | 0<br>14<br>0<br>1<br>0 | 0<br>105<br>0<br>1<br>0 | 5<br>9<br>6<br>5<br>7 | 1178<br>1865<br>2517<br>1270<br>2949 |\n| wang20<br>chrwhi62 | (70,40)<br>(40,70) | 20<br>20 | 42<br>62 | 794<br>356 | 176<br>102 | 1003<br>7991 | 8<br>10 | 2726<br>1860 |\n| 3<br>3s<br>A1<br>A1s<br>A2<br>A2s<br>CHL2<br>CHL2s<br>CHL3<br>CHL3s<br>CHL4<br>CHL4s<br>CHL5 | (40,70)<br>(40,70)<br>(50,60)<br>(50,60)<br>(60,60)<br>(60,60)<br>(62,55)<br>(62,55)<br>(157,121)<br>(157,121)<br>(207,231)<br>(207,231)<br>(30,20) | 20<br>20<br>20<br>20<br>20<br>20<br>10<br>10<br>15<br>15<br>15<br>15<br>10 | 62<br>62<br>62<br>62<br>53<br>53<br>19<br>19<br>35<br>35<br>27<br>27<br>18 | 356<br>757<br>935<br>4291<br>267<br>8598<br>688<br>1419<br>0<br>0<br>0<br>0<br>363 | 102<br>166<br>254<br>504<br>70<br>2365<br>317<br>557<br>0<br>0<br>0<br>0<br>194 | 7991<br>3050<br>19283<br>8156<br>35747<br>143002<br>225011<br>158450<br>0<br>0<br>0<br>0<br>57115 | 10<br>8<br>11<br>7<br>11<br>8<br>9<br>10<br>35<br>35<br>27<br>27<br>11 | 1860<br>2726<br>2020<br>2956<br>2615<br>3535<br>2326<br>3336<br>5283<br>7402<br>8998<br>13932<br>589 |","| cgcut1<br>cgcut2<br>cgcut3 | (15,10)<br>(40,70)<br>(40,70) | 7<br>10<br>20 | 16<br>23<br>62 | 14<br>356 | 1<br>102 | 1<br>7991 | 8<br>12<br>10 | 244<br>2892<br>1860 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| gcut01<br>gcut02<br>gcut03<br>gcut04<br>gcut05<br>gcut06<br>gcut07<br>gcut08<br>gcut09<br>gcut10<br>gcut11<br>gcut12<br>gcut13 | (250,250)<br>(250,250)<br>(250,250)<br>(250,250)<br>(500,500)<br>(500,500)<br>(500,500)<br>(500,500)<br>(1000,1000)<br>(1000,1000)<br>(1000,1000)<br>(1000,1000)<br>(3000,3000) | 10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>32 | 10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>10<br>20<br>30<br>50<br>32 | 33<br>519<br>2234<br>72159<br>52<br>278<br>852<br>55485<br>12<br>335<br>1616<br>8178 | 0<br>51<br>235<br>18316<br>13<br>22<br>124<br>9037<br>2<br>31<br>212<br>593 | 0<br>78<br>742<br>145057<br>13<br>22<br>152<br>15970<br>8<br>40<br>463<br>1236 | 3<br>6<br>6<br>4<br>5<br>4<br>4<br>4<br>5<br>5<br>6<br>5 | 48368<br>59798<br>61275<br>61380<br>195582<br>236305<br>240143<br>245758<br>939600<br>937349<br>969709<br>979521<br>≥8622498<br>≤9000000 |\n| okp1<br>okp2<br>okp3<br>okp4<br>okp5 | (100,100)<br>(100,100)<br>(100,100)<br>(100,100)<br>(100,100) | 15<br>30<br>30<br>33<br>29 | 50<br>30<br>30<br>61<br>97 | 3244<br>23626<br>8233<br>1458<br>5733 | 661<br>7310<br>816<br>15<br>643 | 35523<br>8721<br>921<br>50<br>13600 | 11<br>11<br>11<br>10<br>8 | 27718<br>22502<br>24019<br>32893<br>27923 |",1]
["| problem | container<br>size | box<br>types | #<br>boxes | OKP<br>nodes | OPP<br>calls | OPP<br>nodes | opt.<br>boxes | opt.<br>sol. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| beasley1<br>beasley2<br>beasley3<br>beasley4<br>beasley5<br>beasley6<br>beasley7<br>beasley8<br>beasley9<br>beasley10<br>beasley11<br>beasley12 | (10,10)<br>(10,10)<br>(10,10)<br>(15,10)<br>(15,10)<br>(15,10)<br>(20,20)<br>(20,20)<br>(20,20)<br>(30,30)<br>(30,30)<br>(30,30) | 5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10<br>5<br>7<br>10 | 10<br>17<br>21<br>7<br>14<br>15<br>8<br>13<br>18<br>13<br>15<br>22 | 19<br>5<br>25<br>1<br>1<br>15<br>0<br>53<br>3<br>1<br>36<br>48 | 1<br>0<br>6<br>0<br>0<br>5<br>0<br>23<br>0<br>0<br>10<br>14 | 1<br>0<br>36<br>0<br>0<br>5<br>0<br>301<br>0<br>0<br>16<br>105 | 5<br>5<br>7<br>6<br>6<br>7<br>8<br>8<br>11<br>6<br>9<br>9 | 164<br>230<br>247<br>268<br>358<br>289<br>430<br>834<br>924<br>1452<br>1688<br>1865 |\n| hadchr3<br>hadchr7<br>hadchr8<br>hadchr11<br>hadchr12 | (30,30)<br>(30,30)<br>(40,40)<br>(30,30)<br>(40,40) | 7<br>10<br>10<br>15<br>15 | 7<br>22<br>10<br>15<br>15 | 1<br>48<br>7<br>30<br>5 | 0<br>14<br>0<br>1<br>0 | 0<br>105<br>0<br>1<br>0 | 5<br>9<br>6<br>5<br>7 | 1178<br>1865<br>2517<br>1270<br>2949 |\n| wang20<br>chrwhi62 | (70,40)<br>(40,70) | 20<br>20 | 42<br>62 | 794<br>356 | 176<br>102 | 1003<br>7991 | 8<br>10 | 2726<br>1860 |\n| 3<br>3s<br>A1<br>A1s<br>A2<br>A2s<br>CHL2<br>CHL2s<br>CHL3<br>CHL3s<br>CHL4<br>CHL4s<br>CHL5 | (40,70)<br>(40,70)<br>(50,60)<br>(50,60)<br>(60,60)<br>(60,60)<br>(62,55)<br>(62,55)<br>(157,121)<br>(157,121)<br>(207,231)<br>(207,231)<br>(30,20) | 20<br>20<br>20<br>20<br>20<br>20<br>10<br>10<br>15<br>15<br>15<br>15<br>10 | 62<br>62<br>62<br>62<br>53<br>53<br>19<br>19<br>35<br>35<br>27<br>27<br>18 | 356<br>757<br>935<br>4291<br>267<br>8598<br>688<br>1419<br>0<br>0<br>0<br>0<br>363 | 102<br>166<br>254<br>504<br>70<br>2365<br>317<br>557<br>0<br>0<br>0<br>0<br>194 | 7991<br>3050<br>19283<br>8156<br>35747<br>143002<br>225011<br>158450<br>0<br>0<br>0<br>0<br>57115 | 10<br>8<br>11<br>7<br>11<br>8<br>9<br>10<br>35<br>35<br>27<br>27<br>11 | 1860<br>2726<br>2020<br>2956<br>2615<br>3535<br>2326<br>3336<br>5283<br>7402<br>8998<br>13932<br>589 |","| I | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>9<br>8 | 5<br>19<br>40<br>31<br>82 | 57<br>307<br>933<br>231<br>336 | 174<br>914<br>3826<br>677<br>943 | 0<br>0<br>0<br>1<br>234 | 8<br>158<br>431<br>287<br>147864 | 23<br>969<br>2411<br>1018<br>727719 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| II | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>8<br>7<br>6 | 6<br>28<br>32<br>36<br>62 | 139<br>548<br>5062<br>297<br>536 | 1038<br>1568<br>28754<br>571<br>1110 | 0<br>0<br>2<br>5<br>83 | 305<br>2873<br>14910<br>237144<br>168530 | 2699<br>26866<br>84975<br>1633573<br>280688 |\n| III | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>8<br>2 | 3<br>82<br>342<br>31<br>96 | 117<br>737<br>3865<br>1006<br>196 | 516<br>1860<br>10655<br>4064<br>296 | 0<br>3<br>745<br>3<br>241 | 299<br>10588<br>62065<br>345130<br>85729 | 1169<br>53510<br>416200<br>1174938<br>171218 |",0]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |","| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| --- |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |","| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |","| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| --- |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |","| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| --- |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",0]
["| SceneClass | rk | rdiff | Symbol |\n| --- | --- | --- | --- |\n| Class1 | 0.5561 | Notapplicableasthisis∨rk | Notapplicable |\n| Class2 | 0.0264 | 0.3911 | > |\n| Class3 | 0.0000 | Discardedasr=03 | × |","| Class4 | 0.4175 | 0.1386 | > |\n| --- | --- | --- | --- |\n| FinalResult | Class1>Class4>Class2,but×Class3<br>SceneimagehasthehighestpossibilityasClass1,<br>followbyClass4andClass2respectively.<br>ButsceneimageisdeﬁnitelynotbelongtoClass3. |  |  |",1]
["| SceneClass | rk | rdiff | Symbol |\n| --- | --- | --- | --- |\n| Class1 | 0.5561 | Notapplicableasthisis∨rk | Notapplicable |\n| Class2 | 0.0264 | 0.3911 | > |\n| Class3 | 0.0000 | Discardedasr=03 | × |","| Imageprocessing | Numberofexceedencesabovetarget |\n| --- | --- |\n| Original512x2560imagealgorithm | 90 |\n| CSusing256x1280PFCoeﬀsviaTwISTorthresholding | 10 |\n| CSusing128x640PFCoeﬀsviaTwISTorthresholding | 23 |\n| CSusing128x640PFCoeﬀs;Removegroupsof5 | 14 |\n| CSusing64x320PFCoeﬀsviaTwISTorthresholding | 32 |\n| CSusing64x320PFCoeﬀs;Removegroupsof5 | 8 |",0]
["| SceneClass | rk | rdiff | Symbol |\n| --- | --- | --- | --- |\n| Class1 | 0.5561 | Notapplicableasthisis∨rk | Notapplicable |\n| Class2 | 0.0264 | 0.3911 | > |","| Class3 | 0.0000 | Discardedasr=03 | × |\n| --- | --- | --- | --- |\n| Class4 | 0.4175 | 0.1386 | > |\n| FinalResult | Class1>Class4>Class2,but×Class3<br>SceneimagehasthehighestpossibilityasClass1,<br>followbyClass4andClass2respectively.<br>ButsceneimageisdeﬁnitelynotbelongtoClass3. |  |  |",1]
["| SceneClass | rk | rdiff | Symbol |\n| --- | --- | --- | --- |\n| Class1 | 0.5561 | Notapplicableasthisis∨rk | Notapplicable |\n| Class2 | 0.0264 | 0.3911 | > |","| CSusing256x1280PFCoeﬀsviaTwISTorthresholding | 10 |\n| --- | --- |\n| CSusing128x640PFCoeﬀsviaTwISTorthresholding | 23 |\n| CSusing128x640PFCoeﬀs;Removegroupsof5 | 14 |\n| CSusing64x320PFCoeﬀsviaTwISTorthresholding | 32 |\n| CSusing64x320PFCoeﬀs;Removegroupsof5 | 8 |",0]
["| Resource | Visible<br>DataExposedRequests | Invisible<br>DataExposedRequests |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Location | 758 | 2,205 | 3,881 | 8,755 | 4,639 |\n| ReadSMSdata | 378 | 486 | 72 | 125 | 450 |","| SendingSMS | 7 | 7 | 1 | 1 | 8 |\n| --- | --- | --- | --- | --- | --- |\n| BrowserHistory | 12 | 14 | 2 | 5 | 14 |\n| Total | 1,155 | 2,712 | 3,956 | 8,886 | 5,111 |",1]
["| Resource | Visible<br>DataExposedRequests | Invisible<br>DataExposedRequests |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Location | 758 | 2,205 | 3,881 | 8,755 | 4,639 |\n| ReadSMSdata | 378 | 486 | 72 | 125 | 450 |","| Description | Count |\n| --- | --- |\n| Requests | 252036 |\n| Responses | 251802 |\n| URLsaccessed | 503838 |\n| DistinctURLs | 201628 |\n| Distincthosts | 9580 |\n| Distincthosts(combined) | 8601 |",0]
["| Resource | Visible<br>DataExposedRequests | Invisible<br>DataExposedRequests |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Location | 758 | 2,205 | 3,881 | 8,755 | 4,639 |\n| ReadSMSdata | 378 | 486 | 72 | 125 | 450 |\n| SendingSMS | 7 | 7 | 1 | 1 | 8 |","| BrowserHistory | 12 | 14 | 2 | 5 | 14 |\n| --- | --- | --- | --- | --- | --- |\n| Total | 1,155 | 2,712 | 3,956 | 8,886 | 5,111 |",1]
["| Resource | Visible<br>DataExposedRequests | Invisible<br>DataExposedRequests |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Location | 758 | 2,205 | 3,881 | 8,755 | 4,639 |\n| ReadSMSdata | 378 | 486 | 72 | 125 | 450 |\n| SendingSMS | 7 | 7 | 1 | 1 | 8 |","| Responses | 251802 |\n| --- | --- |\n| URLsaccessed | 503838 |\n| DistinctURLs | 201628 |\n| Distincthosts | 9580 |\n| Distincthosts(combined) | 8601 |",0]
["|  | SIFT1M | GIST1M |\n| --- | --- | --- |\n| ANN | ε=0 | ε=5 |\n| E2LSH | r=0.45 | r=1 |","| FLANN | p=0.9,<br>ω=0.01,ω=0mt | p=0.8,<br>ω=0.01,ω=0mt |\n| --- | --- | --- |\n| EFANNA | nTree=4,kNN=30 | nTree=4,kNN=50 |",1]
["|  | SIFT1M | GIST1M |\n| --- | --- | --- |\n| ANN | ε=0 | ε=5 |\n| E2LSH | r=0.45 | r=1 |","| Alg. | Tr.Fl.1;Te.Fl.3 | Tr.Fl.3;Te.Fl.1 | Alg. |\n| --- | --- | --- | --- |\n| MI-HE(HSD) | 0.304 | 0.449 | MI-SMF(ACE) |\n| M-IHE(ACE) | 0.257 | 0.254 | MI-SMF(SMF) |\n| eFUMI(ACE) | 0.214 | 0.325 | mi-SVM |\n| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",0]
["|  | SIFT1M | GIST1M |\n| --- | --- | --- |\n| ANN | ε=0 | ε=5 |\n| E2LSH | r=0.45 | r=1 |","| FLANN | p=0.9,<br>ω=0.01,ω=0mt | p=0.8,<br>ω=0.01,ω=0mt |\n| --- | --- | --- |\n| EFANNA | nTree=4,kNN=30 | nTree=4,kNN=50 |",1]
["|  | SIFT1M | GIST1M |\n| --- | --- | --- |\n| ANN | ε=0 | ε=5 |\n| E2LSH | r=0.45 | r=1 |","| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| --- | --- | --- | --- |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",0]
["|  | F=10,H=1,K=10 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 5.00<br>9.50<br>0.00<br>10.00<br>10.00<br>10.00 | 0.00<br>4.50<br>0.00<br>0.00<br>0.00<br>0.00 | 5.00<br>5.00<br>4.50<br>10.00<br>10.00<br>10.00 | 1<br>0<br>0<br>1<br>1<br>0 | 13.49<br>0.00<br>0.00<br>10.00<br>19.00<br>0.00 | 8.49<br>4.00<br>0.00<br>0.00<br>9.00<br>0.00 | 4.99<br>4.50<br>4.00<br>10.00<br>10.00<br>9.00 |","|  | Π=170.25 | Π=171.75 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |\n|  | Π=429.00 | Π=768.875 |  |  |  |  |  |  |  |  |",1]
["|  | F=10,H=1,K=10 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 5.00<br>9.50<br>0.00<br>10.00<br>10.00<br>10.00 | 0.00<br>4.50<br>0.00<br>0.00<br>0.00<br>0.00 | 5.00<br>5.00<br>4.50<br>10.00<br>10.00<br>10.00 | 1<br>0<br>0<br>1<br>1<br>0 | 13.49<br>0.00<br>0.00<br>10.00<br>19.00<br>0.00 | 8.49<br>4.00<br>0.00<br>0.00<br>9.00<br>0.00 | 4.99<br>4.50<br>4.00<br>10.00<br>10.00<br>9.00 |","|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |\n|  | Π=64.30 | Π=64.34 |  |  |  |  |  |  |  |  |",0]
["|  | F=10,H=1,K=10 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 5.00<br>9.50<br>0.00<br>10.00<br>10.00<br>10.00 | 0.00<br>4.50<br>0.00<br>0.00<br>0.00<br>0.00 | 5.00<br>5.00<br>4.50<br>10.00<br>10.00<br>10.00 | 1<br>0<br>0<br>1<br>1<br>0 | 13.49<br>0.00<br>0.00<br>10.00<br>19.00<br>0.00 | 8.49<br>4.00<br>0.00<br>0.00<br>9.00<br>0.00 | 4.99<br>4.50<br>4.00<br>10.00<br>10.00<br>9.00 |\n|  | Π=170.25 | Π=171.75 |  |  |  |  |  |  |  |  |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=429.00 | Π=768.875 |  |  |  |  |  |  |  |  |",1]
["|  | F=10,H=1,K=10 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 5.00<br>9.50<br>0.00<br>10.00<br>10.00<br>10.00 | 0.00<br>4.50<br>0.00<br>0.00<br>0.00<br>0.00 | 5.00<br>5.00<br>4.50<br>10.00<br>10.00<br>10.00 | 1<br>0<br>0<br>1<br>1<br>0 | 13.49<br>0.00<br>0.00<br>10.00<br>19.00<br>0.00 | 8.49<br>4.00<br>0.00<br>0.00<br>9.00<br>0.00 | 4.99<br>4.50<br>4.00<br>10.00<br>10.00<br>9.00 |\n|  | Π=170.25 | Π=171.75 |  |  |  |  |  |  |  |  |","|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |\n|  | Π=64.30 | Π=64.34 |  |  |  |  |  |  |  |  |",0]
["|  | right<br>start | right<br>end | right<br>inter. | right<br>door | left<br>start | left<br>end | left<br>inter. | left<br>door | door<br>door | Ins. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| rightstart | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightend | 0 | 7 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |\n| rightinter. | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightdoor | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 1 | 1 | 25 |\n| leftstart | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 |\n| leftend | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |\n| leftinter. | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 |","| leftdoor | 1 | 0 | 0 | 4 | 0 | 0 | 1 | 43 | 1 | 34 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| doordoor | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |\n| deletions | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Total | 8 | 8 | 8 | 46 | 8 | 7 | 9 | 46 | 4 | 60 |",1]
["|  | right<br>start | right<br>end | right<br>inter. | right<br>door | left<br>start | left<br>end | left<br>inter. | left<br>door | door<br>door | Ins. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| rightstart | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightend | 0 | 7 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |\n| rightinter. | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightdoor | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 1 | 1 | 25 |\n| leftstart | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 |\n| leftend | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |\n| leftinter. | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 |","| Code | K,{w}B | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |\n| Simplex | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |\n| Polar | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 |\n| Simplex | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 0 |\n| Polar | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 |\n| Simplex | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | 0 | 0 |\n| Polar | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 |\n| Polar | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 54 | 0 | 0 | 0 |\n| eBCH | 6 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 30 | 0 | 16 | 0 |\n| Polar | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 102 | 0 | 0 | 0 |\n| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |\n| DualofeBCH | 10 | 0 | 0 | 0 | 60 | 0 | 256 | 0 | 390 | 0 | 256 | 0 |\n| Polar | 11 | 0 | 0 | 0 | 140 | 0 | 448 | 0 | 870 | 0 | 448 | 0 |\n| Polar | 12 | 0 | 8 | 0 | 252 | 0 | 952 | 0 | 1670 | 0 | 952 | 0 |\n| DualofSimplex | 12 | 0 | 1 | 42 | 133 | 252 | 469 | 750 | 835 | 680 | 483 | 294 |\n| Polar | 13 | 0 | 24 | 0 | 476 | 0 | 1960 | 0 | 3270 | 0 | 1960 | 0 |\n| DualofSimplex | 13 | 0 | 11 | 82 | 233 | 516 | 1003 | 1470 | 1595 | 1400 | 1017 | 558 |\n| Polar | 14 | 0 | 56 | 0 | 924 | 0 | 3976 | 0 | 6470 | 0 | 3976 | 0 |\n| DualofSimplex | 14 | 0 | 35 | 150 | 425 | 1100 | 2051 | 2810 | 3195 | 2920 | 1985 | 1066 |\n| Polar | 15 | 0 | 120 | 0 | 1820 | 0 | 8008 | 0 | 12870 | 0 | 8008 | 0 |",0]
["|  | right<br>start | right<br>end | right<br>inter. | right<br>door | left<br>start | left<br>end | left<br>inter. | left<br>door | door<br>door | Ins. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| rightstart | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightend | 0 | 7 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |\n| rightinter. | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightdoor | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 1 | 1 | 25 |\n| leftstart | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 |\n| leftend | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |","| leftinter. | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| leftdoor | 1 | 0 | 0 | 4 | 0 | 0 | 1 | 43 | 1 | 34 |\n| doordoor | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |\n| deletions | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| Total | 8 | 8 | 8 | 46 | 8 | 7 | 9 | 46 | 4 | 60 |",1]
["|  | right<br>start | right<br>end | right<br>inter. | right<br>door | left<br>start | left<br>end | left<br>inter. | left<br>door | door<br>door | Ins. |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| rightstart | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightend | 0 | 7 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |\n| rightinter. | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| rightdoor | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 1 | 1 | 25 |\n| leftstart | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 |\n| leftend | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |","| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |\n| DualofeBCH | 10 | 0 | 0 | 0 | 60 | 0 | 256 | 0 | 390 | 0 | 256 | 0 |\n| Polar | 11 | 0 | 0 | 0 | 140 | 0 | 448 | 0 | 870 | 0 | 448 | 0 |\n| Polar | 12 | 0 | 8 | 0 | 252 | 0 | 952 | 0 | 1670 | 0 | 952 | 0 |\n| DualofSimplex | 12 | 0 | 1 | 42 | 133 | 252 | 469 | 750 | 835 | 680 | 483 | 294 |\n| Polar | 13 | 0 | 24 | 0 | 476 | 0 | 1960 | 0 | 3270 | 0 | 1960 | 0 |\n| DualofSimplex | 13 | 0 | 11 | 82 | 233 | 516 | 1003 | 1470 | 1595 | 1400 | 1017 | 558 |\n| Polar | 14 | 0 | 56 | 0 | 924 | 0 | 3976 | 0 | 6470 | 0 | 3976 | 0 |\n| DualofSimplex | 14 | 0 | 35 | 150 | 425 | 1100 | 2051 | 2810 | 3195 | 2920 | 1985 | 1066 |\n| Polar | 15 | 0 | 120 | 0 | 1820 | 0 | 8008 | 0 | 12870 | 0 | 8008 | 0 |",0]
["| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |","| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",1]
["| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |","| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |","| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",1]
["| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |","| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["| Euro2016TrainModel-MLP |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.988 | 0.975 | 0.978 |\n| 2 | 0.987 | 0.987 | 0.987 |\n| 3 | 0.993 | 0.993 | 0.993 |\n| 4 | 0.994 | 0.994 | 0.994 |","| 5 | 0.994 | 0.994 | 0.994 |\n| --- | --- | --- | --- |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.9975 | 0.9975 | 0.9975 |\n| 8 | 0.996 | 0.996 | 0.996 |\n| 9 | 0.995 | 0.995 | 0.995 |\n| 10 | 0.9978 | 0.9978 | 0.9978 |",1]
["| Euro2016TrainModel-MLP |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.988 | 0.975 | 0.978 |\n| 2 | 0.987 | 0.987 | 0.987 |\n| 3 | 0.993 | 0.993 | 0.993 |\n| 4 | 0.994 | 0.994 | 0.994 |","| Euro2016TrainModel-J48 |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.990 | 0.986 | 0.986 |\n| 2 | 0.978 | 0.977 | 0.977 |\n| 3 | 0.990 | 0.990 | 0.990 |\n| 4 | 0.994 | 0.994 | 0.994 |\n| 5 | 0.996 | 0.996 | 0.996 |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.996 | 0.996 | 0.996 |\n| 8 | 0.997 | 0.997 | 0.997 |\n| 9 | 0.997 | 0.997 | 0.997 |\n| 10 | 0.998 | 0.998 | 0.998 |",0]
["| Euro2016TrainModel-MLP |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.988 | 0.975 | 0.978 |\n| 2 | 0.987 | 0.987 | 0.987 |\n| 3 | 0.993 | 0.993 | 0.993 |\n| 4 | 0.994 | 0.994 | 0.994 |","| 5 | 0.994 | 0.994 | 0.994 |\n| --- | --- | --- | --- |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.9975 | 0.9975 | 0.9975 |\n| 8 | 0.996 | 0.996 | 0.996 |\n| 9 | 0.995 | 0.995 | 0.995 |\n| 10 | 0.9978 | 0.9978 | 0.9978 |",1]
["| Euro2016TrainModel-MLP |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.988 | 0.975 | 0.978 |\n| 2 | 0.987 | 0.987 | 0.987 |\n| 3 | 0.993 | 0.993 | 0.993 |\n| 4 | 0.994 | 0.994 | 0.994 |","| 1 | 0.990 | 0.986 | 0.986 |\n| --- | --- | --- | --- |\n| 2 | 0.978 | 0.977 | 0.977 |\n| 3 | 0.990 | 0.990 | 0.990 |\n| 4 | 0.994 | 0.994 | 0.994 |\n| 5 | 0.996 | 0.996 | 0.996 |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.996 | 0.996 | 0.996 |\n| 8 | 0.997 | 0.997 | 0.997 |\n| 9 | 0.997 | 0.997 | 0.997 |\n| 10 | 0.998 | 0.998 | 0.998 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |","| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| --- |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |","| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |\n| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |","| -classe1890(attendus=197,ramenes=78.00,corrects=9.00)<br>rappel=0.046precision=0.115f-mesure=0.065 |\n| --- |\n| -classe1900(attendus=203,ramenes=135.00,corrects=16.00)<br>rappel=0.079precision=0.119f-mesure=0.095 |\n| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",1]
["| -classe1800(attendus=169,ramenes=102.00,corrects=6.00)<br>rappel=0.036precision=0.059f-mesure=0.044 |\n| --- |\n| -classe1810(attendus=169,ramenes=193.00,corrects=27.00)<br>rappel=0.160precision=0.140f-mesure=0.149 |\n| -classe1820(attendus=169,ramenes=321.00,corrects=41.00)<br>rappel=0.243precision=0.128f-mesure=0.167 |\n| -classe1830(attendus=169,ramenes=422.00,corrects=40.00)<br>rappel=0.237precision=0.095f-mesure=0.135 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=9.00)<br>rappel=0.053precision=0.108f-mesure=0.071 |\n| -classe1850(attendus=169,ramenes=166.00,corrects=13.00)<br>rappel=0.077precision=0.078f-mesure=0.078 |\n| -classe1860(attendus=170,ramenes=111.00,corrects=8.00)<br>rappel=0.047precision=0.072f-mesure=0.057 |\n| -classe1870(attendus=169,ramenes=82.00,corrects=7.00)<br>rappel=0.041precision=0.085f-mesure=0.056 |\n| -classe1880(attendus=169,ramenes=118.00,corrects=13.00)<br>rappel=0.077precision=0.110f-mesure=0.091 |","| -classe1910(attendus=201,ramenes=67.00,corrects=6.00)<br>rappel=0.030precision=0.090f-mesure=0.045 |\n| --- |\n| -classe1920(attendus=200,ramenes=143.00,corrects=18.00)<br>rappel=0.090precision=0.126f-mesure=0.105 |\n| -classe1930(attendus=200,ramenes=80.00,corrects=9.00)<br>rappel=0.045precision=0.113f-mesure=0.064 |\n| -classe1940(attendus=198,ramenes=620.00,corrects=93.00)<br>rappel=0.470precision=0.150f-mesure=0.227 |\n| -surl’ensembledes15classes<br>macrorappel=0.115macroprecision=0.106macroF-mesure=0.110 |",0]
["|  | Fothergilletal. | Sharafetal. | ELS |\n| --- | --- | --- | --- |\n| Video-Text | 0.679±0.035 | 0.713±0.105 | 0.790±0.133 |\n| Image-Text | 0.563±0.045 | 0.656±0.122 | 0.711±0.228 |","| Text | 0.479±0.104 | 0.521±0.072 | 0.622±0.246 |\n| --- | --- | --- | --- |\n| Video | 0.627±0.052 | 0.635±0.075 | 0.726±0.225 |\n| Image | 0.549±0.102 | 0.596±0.103 | 0.670±0.254 |\n| Overall | 0.579 | 0.624 | 0.704 |",1]
["|  | Fothergilletal. | Sharafetal. | ELS |\n| --- | --- | --- | --- |\n| Video-Text | 0.679±0.035 | 0.713±0.105 | 0.790±0.133 |\n| Image-Text | 0.563±0.045 | 0.656±0.122 | 0.711±0.228 |","| MASR | PPF | 3D-CNN | ANNC-ASSCC |\n| --- | --- | --- | --- |\n| 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 |\n| 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 |\n| 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 |\n| 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 |\n| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |\n| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",0]
["|  | Fothergilletal. | Sharafetal. | ELS |\n| --- | --- | --- | --- |\n| Video-Text | 0.679±0.035 | 0.713±0.105 | 0.790±0.133 |","| Image-Text | 0.563±0.045 | 0.656±0.122 | 0.711±0.228 |\n| --- | --- | --- | --- |\n| Text | 0.479±0.104 | 0.521±0.072 | 0.622±0.246 |\n| Video | 0.627±0.052 | 0.635±0.075 | 0.726±0.225 |\n| Image | 0.549±0.102 | 0.596±0.103 | 0.670±0.254 |\n| Overall | 0.579 | 0.624 | 0.704 |",1]
["|  | Fothergilletal. | Sharafetal. | ELS |\n| --- | --- | --- | --- |\n| Video-Text | 0.679±0.035 | 0.713±0.105 | 0.790±0.133 |","| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| --- | --- | --- | --- |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |\n| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",0]
["|  | Time |\n| --- | --- |\n| O-GM10 | 35ms |\n| 2Dpointprocessing | 31ms |\n| 2Dlineprocessing | 40ms |\n| 3DlineRANSACsampling | 2.3ms |\n| 3DlineFitting(perline)† | 0.1ms |\n| Planeextraction | 29ms |\n| Planeﬁtting(perplane)† | 1.5ms |","| Planematching† | 3ms |\n| --- | --- |\n| Poseestimation† | 33ms |",1]
["|  | Time |\n| --- | --- |\n| O-GM10 | 35ms |\n| 2Dpointprocessing | 31ms |\n| 2Dlineprocessing | 40ms |\n| 3DlineRANSACsampling | 2.3ms |\n| 3DlineFitting(perline)† | 0.1ms |\n| Planeextraction | 29ms |\n| Planeﬁtting(perplane)† | 1.5ms |","| Newtwork | Accelerator | Inference | Car | Ped. | Cyc. |\n| --- | --- | --- | --- | --- | --- |\n| F-PointNet | GTX1080 | 88ms | 70.39 | 44.89 | 56.77 |\n| VoxelNet(Lidar) | TitanX | 30ms | 65.11 | 33.69 | 48.36 |\n| AVOD | TitanXp | 80ms | 65.78 | 31.51 | 44.90 |\n| MV3D | TitanX | 360ms | 63.35 | N/A | N/A |\n| MV3D(Lidar) | TitanX | 240ms | 52.73 | N/A | N/A |\n| DoBEM | TitanX | 600ms | 6.95 | N/A | N/A |\n| 3D-SSMFCNN | TitanX | 100ms | 2.28 | N/A | N/A |\n| Proposed | GTX1080 | 20ms | 15.24 | 11.46 | 3.23 |",0]
["|  | Time |\n| --- | --- |\n| O-GM10 | 35ms |\n| 2Dpointprocessing | 31ms |\n| 2Dlineprocessing | 40ms |\n| 3DlineRANSACsampling | 2.3ms |\n| 3DlineFitting(perline)† | 0.1ms |\n| Planeextraction | 29ms |","| Planeﬁtting(perplane)† | 1.5ms |\n| --- | --- |\n| Planematching† | 3ms |\n| Poseestimation† | 33ms |",1]
["|  | Time |\n| --- | --- |\n| O-GM10 | 35ms |\n| 2Dpointprocessing | 31ms |\n| 2Dlineprocessing | 40ms |\n| 3DlineRANSACsampling | 2.3ms |\n| 3DlineFitting(perline)† | 0.1ms |\n| Planeextraction | 29ms |","| DoBEM | TitanX | 600ms | 6.95 | N/A | N/A |\n| --- | --- | --- | --- | --- | --- |\n| 3D-SSMFCNN | TitanX | 100ms | 2.28 | N/A | N/A |\n| Proposed | GTX1080 | 20ms | 15.24 | 11.46 | 3.23 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 5000 | 10000 |","| 150000 | 15000 | 10000 | 5000 |\n| --- | --- | --- | --- |\n| 450000 | 100000 | 20000 | 30000 |\n| 180000 | 80000 | 25000 | 15000 |\n| 45000 | 25000 | 30000 | 80000 |\n| 50000 | 5000 | 40000 | 60000 |\n| 200000 | 20000 | 50000 | 70000 |\n| 70000 | 35000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 5000 | 10000 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 25000 | 10000 |\n| 150000 | 15000 | 20000 | 5000 |\n| 450000 | 100000 | 200000 | 30000 |\n| 180000 | 80000 | 30000 | 15000 |\n| 45000 | 25000 | 50000 | 80000 |\n| 50000 | 5000 | 10000 | 60000 |\n| 200000 | 20000 | 5000 | 70000 |\n| 70000 | 35000 | 40000 | 100000 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 5000 | 10000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 450000 | 100000 | 20000 | 30000 |","| 180000 | 80000 | 25000 | 15000 |\n| --- | --- | --- | --- |\n| 45000 | 25000 | 30000 | 80000 |\n| 50000 | 5000 | 40000 | 60000 |\n| 200000 | 20000 | 50000 | 70000 |\n| 70000 | 35000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 5000 | 10000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 450000 | 100000 | 20000 | 30000 |","| 45000 | 25000 | 50000 | 80000 |\n| --- | --- | --- | --- |\n| 50000 | 5000 | 10000 | 60000 |\n| 200000 | 20000 | 5000 | 70000 |\n| 70000 | 35000 | 40000 | 100000 |",0]
["|  | Train | Validation | Test |\n| --- | --- | --- | --- |\n| PA | 70,875 | 10,078 | 20,426 |","| AP | 168,525 | 24,566 | 47,689 |\n| --- | --- | --- | --- |\n| Lateral | 81,379 | 11,519 | 23,125 |\n| Total | 320,779 | 46,163 | 91,240 |",1]
["|  | Train | Validation | Test |\n| --- | --- | --- | --- |\n| PA | 70,875 | 10,078 | 20,426 |","|  | Training | Testing | Validation |\n| --- | --- | --- | --- |\n| ModelI | 3588 | 1184 | 1189 |\n| ModelII | 5259 | 1763 | 1746 |\n| ModelIII | 3980 | 1368 | 1350 |\n| ModelIV | 2212 | 733 | 742 |\n| Total | 15039 | 5048 | 5027 |",0]
["|  | Train | Validation | Test |\n| --- | --- | --- | --- |\n| PA | 70,875 | 10,078 | 20,426 |","| AP | 168,525 | 24,566 | 47,689 |\n| --- | --- | --- | --- |\n| Lateral | 81,379 | 11,519 | 23,125 |\n| Total | 320,779 | 46,163 | 91,240 |",1]
["|  | Train | Validation | Test |\n| --- | --- | --- | --- |\n| PA | 70,875 | 10,078 | 20,426 |","| ModelIV | 2212 | 733 | 742 |\n| --- | --- | --- | --- |\n| Total | 15039 | 5048 | 5027 |",0]
["|  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bonefull | 95 | 70 | 85 | 85 | 90 | 85 | 85 | 85 | 70 | 75 |","| Heart | 100 | 100 | 100 | 100 | 100 | 100 | 95 | 95 | 95 | 100 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Glas | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 90 | 100 | 95 |\n| Fountain | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| Key | 100 | 100 | 95 | 100 | 95 | 95 | 90 | 90 | 95 | 95 |\n| Fork | 95 | 90 | 65 | 70 | 65 | 75 | 65 | 75 | 70 | 60 |\n| Hammerfull | 95 | 95 | 80 | 30 | 30 | 35 | 30 | 40 | 35 | 15 |",1]
["|  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bonefull | 95 | 70 | 85 | 85 | 90 | 85 | 85 | 85 | 70 | 75 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["|  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bonefull | 95 | 70 | 85 | 85 | 90 | 85 | 85 | 85 | 70 | 75 |\n| Heart | 100 | 100 | 100 | 100 | 100 | 100 | 95 | 95 | 95 | 100 |\n| Glas | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 90 | 100 | 95 |","| Fountain | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Key | 100 | 100 | 95 | 100 | 95 | 95 | 90 | 90 | 95 | 95 |\n| Fork | 95 | 90 | 65 | 70 | 65 | 75 | 65 | 75 | 70 | 60 |\n| Hammerfull | 95 | 95 | 80 | 30 | 30 | 35 | 30 | 40 | 35 | 15 |",1]
["|  | 1st | 2nd | 3rd | 4th | 5th | 6th | 7th | 8th | 9th | 10th |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Bonefull | 95 | 70 | 85 | 85 | 90 | 85 | 85 | 85 | 70 | 75 |\n| Heart | 100 | 100 | 100 | 100 | 100 | 100 | 95 | 95 | 95 | 100 |\n| Glas | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 90 | 100 | 95 |","| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Dataset | SVM | RMM | R-SVM | R-SVMµ | F-SVM |\n| --- | --- | --- | --- | --- | --- |\n| Breastcancer | 1.90×10 | 1.00×10 | 2.24×10 | 1.83×10 | 6.60×10 |\n| Diabetes | 1.11×10 | 5.70×10 | 3.47×10 | 5.02×10 | 2.57×10 |\n| SolarFlare | 1.10×10 | 9.01×10 | 3.52×10 | 4.58×10 | 1.80×10 |","| German | 4.70×10 | 1.17×10 | 5.30×10 | 1.83×10 | 6.08×10 |\n| --- | --- | --- | --- | --- | --- |\n| Heart | 1.00×10 | 3.46×10 | 5.08×10 | 1.15×10 | 1.20×10 |\n| Image | 5.30×10 | 4.31×10 | 3.44×10 | 1.59×10 | 5.98×10 |\n| Ringnorm | 3.08×10 | 2.93×10 | 3.59×10 | 6.25×10 | 3.75×10 |\n| Splice | 6.28×10 | 6.49×10 | 3.13×10 | 6.69×10 | 6.07×10 |\n| Thyroid | 4.22×10 | 4.51×10 | 4.13×10 | 7.13×10 | 5.95×10 |\n| Twonorm | 2.81×10 | 3.26×10 | 1.97×10 | 2.62×10 | 3.83×10 |\n| Waveform | 5.79×10 | 4.24×10 | 1.04×10 | 3.18×10 | 6.19×10 |",1]
["| Dataset | SVM | RMM | R-SVM | R-SVMµ | F-SVM |\n| --- | --- | --- | --- | --- | --- |\n| Breastcancer | 1.90×10 | 1.00×10 | 2.24×10 | 1.83×10 | 6.60×10 |\n| Diabetes | 1.11×10 | 5.70×10 | 3.47×10 | 5.02×10 | 2.57×10 |\n| SolarFlare | 1.10×10 | 9.01×10 | 3.52×10 | 4.58×10 | 1.80×10 |","| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Dataset | SVM | RMM | R-SVM | R-SVMµ | F-SVM |\n| --- | --- | --- | --- | --- | --- |\n| Breastcancer | 1.90×10 | 1.00×10 | 2.24×10 | 1.83×10 | 6.60×10 |\n| Diabetes | 1.11×10 | 5.70×10 | 3.47×10 | 5.02×10 | 2.57×10 |\n| SolarFlare | 1.10×10 | 9.01×10 | 3.52×10 | 4.58×10 | 1.80×10 |\n| German | 4.70×10 | 1.17×10 | 5.30×10 | 1.83×10 | 6.08×10 |\n| Heart | 1.00×10 | 3.46×10 | 5.08×10 | 1.15×10 | 1.20×10 |","| Image | 5.30×10 | 4.31×10 | 3.44×10 | 1.59×10 | 5.98×10 |\n| --- | --- | --- | --- | --- | --- |\n| Ringnorm | 3.08×10 | 2.93×10 | 3.59×10 | 6.25×10 | 3.75×10 |\n| Splice | 6.28×10 | 6.49×10 | 3.13×10 | 6.69×10 | 6.07×10 |\n| Thyroid | 4.22×10 | 4.51×10 | 4.13×10 | 7.13×10 | 5.95×10 |\n| Twonorm | 2.81×10 | 3.26×10 | 1.97×10 | 2.62×10 | 3.83×10 |\n| Waveform | 5.79×10 | 4.24×10 | 1.04×10 | 3.18×10 | 6.19×10 |",1]
["| Dataset | SVM | RMM | R-SVM | R-SVMµ | F-SVM |\n| --- | --- | --- | --- | --- | --- |\n| Breastcancer | 1.90×10 | 1.00×10 | 2.24×10 | 1.83×10 | 6.60×10 |\n| Diabetes | 1.11×10 | 5.70×10 | 3.47×10 | 5.02×10 | 2.57×10 |\n| SolarFlare | 1.10×10 | 9.01×10 | 3.52×10 | 4.58×10 | 1.80×10 |\n| German | 4.70×10 | 1.17×10 | 5.30×10 | 1.83×10 | 6.08×10 |\n| Heart | 1.00×10 | 3.46×10 | 5.08×10 | 1.15×10 | 1.20×10 |","| Image | 2310 | 7 | 19 |\n| --- | --- | --- | --- |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| evaluating↓ | tweets | retweets | tweets | retweets | tweets | retweets |\n| age(EN) | 0.288 | 0.322 | 0.298 | 0.294 | 0.263 | 0.340 |","| gender(EN) | 0.515 | 0.535 | 0.550 | 0.541 | 0.519 | 0.544 |\n| --- | --- | --- | --- | --- | --- | --- |\n| age(SP) | 0.350 | 0.290 | 0.357 | 0.349 | 0.357 | 0.282 |\n| gender(SP) | 0.532 | 0.510 | 0.525 | 0.544 | 0.549 | 0.504 |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| evaluating↓ | tweets | retweets | tweets | retweets | tweets | retweets |\n| age(EN) | 0.288 | 0.322 | 0.298 | 0.294 | 0.263 | 0.340 |","| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| evaluating↓ | tweets | retweets | tweets | retweets | tweets | retweets |","| age(EN) | 0.288 | 0.322 | 0.298 | 0.294 | 0.263 | 0.340 |\n| --- | --- | --- | --- | --- | --- | --- |\n| gender(EN) | 0.515 | 0.535 | 0.550 | 0.541 | 0.519 | 0.544 |\n| age(SP) | 0.350 | 0.290 | 0.357 | 0.349 | 0.357 | 0.282 |\n| gender(SP) | 0.532 | 0.510 | 0.525 | 0.544 | 0.549 | 0.504 |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| evaluating↓ | tweets | retweets | tweets | retweets | tweets | retweets |","| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| --- | --- | --- | --- | --- | --- |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["| Descriptor | #ofﬂoats |\n| --- | --- |\n| FPFH | 33 |","| SHOT | 135 |\n| --- | --- |\n| USC | 1980 |\n| RoPS | 352 |\n| 3DBS-32 | 48 |\n| 3DBS-64 | 192 |",1]
["| Descriptor | #ofﬂoats |\n| --- | --- |\n| FPFH | 33 |","| Images |\n| --- |\n| 400,000 |\n| 87,577 |\n| 121,450 |\n| 191,463 |\n| 403,398 |\n| 925,327 |",0]
["| Descriptor | #ofﬂoats |\n| --- | --- |\n| FPFH | 33 |\n| SHOT | 135 |","| USC | 1980 |\n| --- | --- |\n| RoPS | 352 |\n| 3DBS-32 | 48 |\n| 3DBS-64 | 192 |",1]
["| Descriptor | #ofﬂoats |\n| --- | --- |\n| FPFH | 33 |\n| SHOT | 135 |","| 121,450 |\n| --- |\n| 191,463 |\n| 403,398 |\n| 925,327 |",0]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1378 | 4.10 |","| Kmeans | 3347 | 8.68 |\n| --- | --- | --- |\n| PageRank | 4291 | 6.22 |",1]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1378 | 4.10 |","| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1500 | 11.02 |\n| Kmeans | 5971 | 8.03 |\n| PageRank | 1444 | 9.03 |\n| SIFT | 721 | 8.02 |",0]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1378 | 4.10 |","| Kmeans | 3347 | 8.68 |\n| --- | --- | --- |\n| PageRank | 4291 | 6.22 |",1]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1378 | 4.10 |","| TeraSort | 1500 | 11.02 |\n| --- | --- | --- |\n| Kmeans | 5971 | 8.03 |\n| PageRank | 1444 | 9.03 |\n| SIFT | 721 | 8.02 |",0]
["| UCF101 |\n| --- |\n| 512bits256bits128bits64bits |\n| 0.3930.4920.6000.572<br>0.7900.7780.7540.706<br>0.8480.8100.7860.716<br>0.7480.7200.6960.619<br>0.6300.6050.6850.692<br>0.4440.3890.1590.115<br>0.4170.4860.4390.406<br>0.7850.7660.7360.681<br>0.8350.8170.7890.740 |","| 0.8530.8860.9010.867 |\n| --- |\n| 0.9530.9590.9490.901 |",1]
["| UCF101 |\n| --- |\n| 512bits256bits128bits64bits |\n| 0.3930.4920.6000.572<br>0.7900.7780.7540.706<br>0.8480.8100.7860.716<br>0.7480.7200.6960.619<br>0.6300.6050.6850.692<br>0.4440.3890.1590.115<br>0.4170.4860.4390.406<br>0.7850.7660.7360.681<br>0.8350.8170.7890.740 |","| ULvs.GN | ULvs.FT |\n| --- | --- |\n| PrecRecF1 | PrecRecF1 |\n| 0.6940.6940.694<br>0.6770.6760.676<br>0.7350.7350.735<br>0.7650.7620.763 | 0.7870.7680.777<br>0.6660.6660.666<br>0.8650.8630.864<br>0.8690.8680.868 |\n| 0.8340.8330.833 | 0.8970.8970.897 |\n| 0.5000.5000.500 | 0.5000.5000.500 |",0]
["| UCF101 |\n| --- |\n| 512bits256bits128bits64bits |","| 0.3930.4920.6000.572<br>0.7900.7780.7540.706<br>0.8480.8100.7860.716<br>0.7480.7200.6960.619<br>0.6300.6050.6850.692<br>0.4440.3890.1590.115<br>0.4170.4860.4390.406<br>0.7850.7660.7360.681<br>0.8350.8170.7890.740 |\n| --- |\n| 0.8530.8860.9010.867 |\n| 0.9530.9590.9490.901 |",1]
["| UCF101 |\n| --- |\n| 512bits256bits128bits64bits |","| 0.8340.8330.833 | 0.8970.8970.897 |\n| --- | --- |\n| 0.5000.5000.500 | 0.5000.5000.500 |",0]
["|  | SE[U] | ME[U] | GE[U] |\n| --- | --- | --- | --- |\n| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |\n| UBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |","| LBPforloop-freeBP | PP-hard | PP-hard | PP-hard |\n| --- | --- | --- | --- |\n| UBPforloop-freeBP | PP-hard | PP-hard | PP-hard |\n| LBPforloop-freeBP,constantbound | Unknown | NP-complete | NP-complete |\n| UBPforloop-freeBP,constantbound | Unknown | coNP-complete | coNP-complete |",1]
["|  | SE[U] | ME[U] | GE[U] |\n| --- | --- | --- | --- |\n| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |\n| UBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |","| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["|  | SE[U] | ME[U] | GE[U] |\n| --- | --- | --- | --- |\n| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |","| UBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |\n| --- | --- | --- | --- |\n| LBPforloop-freeBP | PP-hard | PP-hard | PP-hard |\n| UBPforloop-freeBP | PP-hard | PP-hard | PP-hard |\n| LBPforloop-freeBP,constantbound | Unknown | NP-complete | NP-complete |\n| UBPforloop-freeBP,constantbound | Unknown | coNP-complete | coNP-complete |",1]
["|  | SE[U] | ME[U] | GE[U] |\n| --- | --- | --- | --- |\n| LBPforBP | PSPACE-hard | PSPACE-complete | PSPACE-complete |","| Interval | Θ(n) | NP-c | open |  |\n| --- | --- | --- | --- | --- |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| NameGeneratorBriefdescription |\n| --- |\n| roadextractionRoadnetworkswithagivennumberofvertices. |","| squaregridSquaregridofsizem×m<br>longgridLonggridofsize16m×m<br>widegridWidegridofsizem×16m |\n| --- |\n| acycacyclicAcyclicgraphwithnverticesv,...,vand5narcs(v,v)withi<j1nij |\n| randrandomHamiltoniancyclewithnverticesand5n−nchords. |",1]
["| NameGeneratorBriefdescription |\n| --- |\n| roadextractionRoadnetworkswithagivennumberofvertices. |","| Graph<br>G=(V,E) | n=<br>\\|V\\| | m=<br>\\|E\\| | diameter<br>diam(G) | radius<br>rad(G) |\n| --- | --- | --- | --- | --- |\n| PPI | 1458 | 1948 | 19 | 11 |\n| Yeast | 2224 | 6609 | 11 | 6 |\n| DutchElite | 3621 | 4311 | 22 | 12 |\n| EPA | 4253 | 8953 | 10 | 6 |\n| EVA | 4475 | 4664 | 18 | 10 |\n| California | 5925 | 15770 | 13 | 7 |\n| Erd¨os | 6927 | 11850 | 4 | 2 |\n| Routeview | 10515 | 21455 | 10 | 5 |\n| Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |\n| ASCaida20071105 | 26475 | 53381 | 17 | 9 |\n| Dimes3/2010 | 26424 | 90267 | 8 | 4 |\n| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |\n| ASCaida20120601 | 41203 | 121309 | 10 | 5 |\n| itdk0304 | 190914 | 607610 | 26 | 14 |\n| DBLB-coauth | 317080 | 1049866 | 23 | 12 |\n| Amazon | 334863 | 925872 | 47 | 24 |",0]
["| NameGeneratorBriefdescription |\n| --- |\n| roadextractionRoadnetworkswithagivennumberofvertices. |","| squaregridSquaregridofsizem×m<br>longgridLonggridofsize16m×m<br>widegridWidegridofsizem×16m |\n| --- |\n| acycacyclicAcyclicgraphwithnverticesv,...,vand5narcs(v,v)withi<j1nij |\n| randrandomHamiltoniancyclewithnverticesand5n−nchords. |",1]
["| NameGeneratorBriefdescription |\n| --- |\n| roadextractionRoadnetworkswithagivennumberofvertices. |","| Dimes3/2010 | 26424 | 90267 | 8 | 4 |\n| --- | --- | --- | --- | --- |\n| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |\n| ASCaida20120601 | 41203 | 121309 | 10 | 5 |\n| itdk0304 | 190914 | 607610 | 26 | 14 |\n| DBLB-coauth | 317080 | 1049866 | 23 | 12 |\n| Amazon | 334863 | 925872 | 47 | 24 |",0]
["| Participants | Algorithmnames |\n| --- | --- |\n| SupremaIDInc. | SSLFD |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |\n| OKIBrasil | OKIBrB20 |\n| OKIBrasil | OKIBrB30 |\n| ZhejiangUniversityofTechnology | ZYL1 |\n| ZhejiangUniversityofTechnology | ZYL2 |\n| Anonymous0 | SNOTA20171 |\n| Anonymous0 | SNOTA20172 |\n| ModuLAB. | ModuLAB |\n| ChosunUniversity | ganfp |\n| Anonymous1 | PBLivDet1 |\n| Anonymous1 | PBLivDet2 |\n| KAIST | hanulj |\n| Anonymous2 | SpoofWit |","| UniversityofNaplesFedericoII | LCPD |\n| --- | --- |\n| CENATAV | PADfV |",1]
["| Participants | Algorithmnames |\n| --- | --- |\n| SupremaIDInc. | SSLFD |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |\n| OKIBrasil | OKIBrB20 |\n| OKIBrasil | OKIBrB30 |\n| ZhejiangUniversityofTechnology | ZYL1 |\n| ZhejiangUniversityofTechnology | ZYL2 |\n| Anonymous0 | SNOTA20171 |\n| Anonymous0 | SNOTA20172 |\n| ModuLAB. | ModuLAB |\n| ChosunUniversity | ganfp |\n| Anonymous1 | PBLivDet1 |\n| Anonymous1 | PBLivDet2 |\n| KAIST | hanulj |\n| Anonymous2 | SpoofWit |","| ParticipantsLivDet2009 | AlgorithmName |\n| --- | --- |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| Anonymous | Anonymous |\n| Anonymous2 | Anonymous2 |\n| ParticipantsLivDet2011 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversityofNaplesFedericoII | Federico |\n| ChineseAcademyofSciences | CASIA |\n| ParticipantsLivDet2013 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| HangZhouJLWTechnologyCoLtd | HZ-JLW |\n| FederalUniversityofPernambuco | Itautec |\n| ChineseAcademyofSciences | CAoS |\n| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |\n| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |\n| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |\n| FirstAnonymousparticipant | Anonym1 |\n| SecondAnonymousparticipant | Anonym2 |\n| ThirdAnonymousparticipant | Anonym3 |\n| ParticipantsLivDet2015 | AlgorithmName |\n| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |\n| InstituteforInfocommResearch(I2R) | CSI |\n| InstituteforInfocommResearch(I2R) | CSIMM |\n| Dermalog | hbirkholz |\n| UniversidadeFederaldePernambuco | hectorn |\n| Anonymousparticipant | anonym |\n| HangzhouJinglianwenTechnologyCo.,Ltd | jinglian |\n| UniversidadeFederalRuraldePernambuco | UFPEI |\n| UniversidadeFederalRuraldePernambuco | UFPEII |\n| UniversityofNaplesFedericoII | unina |\n| NewYorkUniversity | nogueira |\n| ZhejiangUniversityofTechnology | titanz |",0]
["| Participants | Algorithmnames |\n| --- | --- |\n| SupremaIDInc. | SSLFD |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |\n| OKIBrasil | OKIBrB20 |\n| OKIBrasil | OKIBrB30 |\n| ZhejiangUniversityofTechnology | ZYL1 |\n| ZhejiangUniversityofTechnology | ZYL2 |\n| Anonymous0 | SNOTA20171 |\n| Anonymous0 | SNOTA20172 |\n| ModuLAB. | ModuLAB |\n| ChosunUniversity | ganfp |\n| Anonymous1 | PBLivDet1 |\n| Anonymous1 | PBLivDet2 |\n| KAIST | hanulj |","| Anonymous2 | SpoofWit |\n| --- | --- |\n| UniversityofNaplesFedericoII | LCPD |\n| CENATAV | PADfV |",1]
["| Participants | Algorithmnames |\n| --- | --- |\n| SupremaIDInc. | SSLFD |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |\n| OKIBrasil | OKIBrB20 |\n| OKIBrasil | OKIBrB30 |\n| ZhejiangUniversityofTechnology | ZYL1 |\n| ZhejiangUniversityofTechnology | ZYL2 |\n| Anonymous0 | SNOTA20171 |\n| Anonymous0 | SNOTA20172 |\n| ModuLAB. | ModuLAB |\n| ChosunUniversity | ganfp |\n| Anonymous1 | PBLivDet1 |\n| Anonymous1 | PBLivDet2 |\n| KAIST | hanulj |","| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| --- | --- |\n| UniversityofNaplesFedericoII | Federico |\n| ChineseAcademyofSciences | CASIA |\n| ParticipantsLivDet2013 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| HangZhouJLWTechnologyCoLtd | HZ-JLW |\n| FederalUniversityofPernambuco | Itautec |\n| ChineseAcademyofSciences | CAoS |\n| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |\n| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |\n| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |\n| FirstAnonymousparticipant | Anonym1 |\n| SecondAnonymousparticipant | Anonym2 |\n| ThirdAnonymousparticipant | Anonym3 |\n| ParticipantsLivDet2015 | AlgorithmName |\n| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |\n| InstituteforInfocommResearch(I2R) | CSI |\n| InstituteforInfocommResearch(I2R) | CSIMM |\n| Dermalog | hbirkholz |\n| UniversidadeFederaldePernambuco | hectorn |\n| Anonymousparticipant | anonym |\n| HangzhouJinglianwenTechnologyCo.,Ltd | jinglian |\n| UniversidadeFederalRuraldePernambuco | UFPEI |\n| UniversidadeFederalRuraldePernambuco | UFPEII |\n| UniversityofNaplesFedericoII | unina |\n| NewYorkUniversity | nogueira |\n| ZhejiangUniversityofTechnology | titanz |",0]
["| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |\n| --- | --- | --- | --- |\n| <4lx | 100kbps | - | - |\n| 12lx | 350kbps | - | - |","| 25lx | 500kbps | 100kbps | 10kbps |\n| --- | --- | --- | --- |\n| 50lx | 600kbps | 700kbps | 30kbps |",1]
["| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |\n| --- | --- | --- | --- |\n| <4lx | 100kbps | - | - |\n| 12lx | 350kbps | - | - |","| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |\n| --- | --- | --- | --- |\n| <4lx | 100kbps | - | - |\n| 12lx | 350kbps | - | - |","| 25lx | 500kbps | 100kbps | 10kbps |\n| --- | --- | --- | --- |\n| 50lx | 600kbps | 700kbps | 30kbps |",1]
["| Light<br>intensity | Highgain/<br>Highspeed | Lowgain/<br>Highspeed | Ultralow<br>power |\n| --- | --- | --- | --- |\n| <4lx | 100kbps | - | - |\n| 12lx | 350kbps | - | - |","| Pf | 23dBm | TransmitpowerofF-AP |\n| --- | --- | --- |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 |","| 200 | 100 | 0.6 | 0.4 | 3.87·10 | 2.91·10 | 5.50·10 | 1.91·10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200 | 200 | 0.3 | 0.2 | 4.73·10 | 1.71·10 | 1.28·10 | 2.69·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.82·10 | 2.56·10 | 1.45·10 | 2.39·10 |\n| 400 | 200 | 0.6 | 0.8 | 1.49·10 | 2.51·10 | 3.68·10 | 4.85·10 |\n| 400 | 400 | 0.3 | 0.4 | 3.38·10 | 4.81·10 | 5.03·10 | 6.73·10 |",1]
["| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 |","| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |\n| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |\n| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |\n| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",0]
["| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 |\n| 200 | 100 | 0.6 | 0.4 | 3.87·10 | 2.91·10 | 5.50·10 | 1.91·10 |\n| 200 | 200 | 0.3 | 0.2 | 4.73·10 | 1.71·10 | 1.28·10 | 2.69·10 |","| 400 | 100 | 1.2 | 1.6 | 5.82·10 | 2.56·10 | 1.45·10 | 2.39·10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 400 | 200 | 0.6 | 0.8 | 1.49·10 | 2.51·10 | 3.68·10 | 4.85·10 |\n| 400 | 400 | 0.3 | 0.4 | 3.38·10 | 4.81·10 | 5.03·10 | 6.73·10 |",1]
["| Resolution | lrel.error(SL)∞ | lrel.error(FFSL)∞ |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.39·10 | 4.85·10 | 3.05·10 | 6.06·10 |\n| 200 | 100 | 0.6 | 0.4 | 3.87·10 | 2.91·10 | 5.50·10 | 1.91·10 |\n| 200 | 200 | 0.3 | 0.2 | 4.73·10 | 1.71·10 | 1.28·10 | 2.69·10 |","| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |\n| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",0]
["| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |\n| --- | --- | --- | --- |\n| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite |","| 6-10 | + | RedSlate | Phyllite,Pyroxenite |\n| --- | --- | --- | --- |\n| 11-15 | + | RedSlate | Pyroxenite |\n| 16-20 | − | N/A | Phyllite,Pyroxenite |",1]
["| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |\n| --- | --- | --- | --- |\n| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite |","| PABG | WABG | WRBG |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CLPair | KS | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. | CLPair | KST | Wilc. | Fried. |\n| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |\n| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |\n| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |\n| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |\n| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |\n| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |\n| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |\n| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 |",0]
["| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |\n| --- | --- | --- | --- |\n| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite |\n| 6-10 | + | RedSlate | Phyllite,Pyroxenite |","| 11-15 | + | RedSlate | Pyroxenite |\n| --- | --- | --- | --- |\n| 16-20 | − | N/A | Phyllite,Pyroxenite |",1]
["| BagNo. | BagLabel | TargetEndmember | BackgroundEndmember |\n| --- | --- | --- | --- |\n| 1-5 | + | RedSlate | VerdeAntique,Phyllite,<br>Pyroxenite |\n| 6-10 | + | RedSlate | Phyllite,Pyroxenite |","| KNN-1CLOF | 6.8e-04 | 9.7e-01 | 4.4e-01 | KNN-1CLOF | 4.4e-08 | 4.5e-03 | 3.3e-01 | KNN-1CLOF | 6.7e-08 | 1.8e-02 | 8.7e-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LDA-1CLOF | 1.5e-03 | 6.7e-01 | 2.0e-01 | LDA-1CLOF | 9.3e-07 | 1.2e-01 | 6.2e-01 | LDA-1CLOF | 6.3e-07 | 1.3e-01 | 2.5e-01 |\n| LR-1CLOF | 2.3e-03 | 6.4e-01 | 7.6e-01 | LR-1CLOF | 8.9e-06 | 7.2e-01 | 8.7e-01 | MLP-1CLOF | 1.1e-06 | 7.7e-01 | 1.3e-01 |\n| MLP-1CLOF | 1.0e-03 | 8.9e-01 | 1.1e-01 | SVC-1CLOF | 9.5e-07 | 6.0e-03 | 4.6e-02 | SVC-1CLOF | 3.4e-06 | 6.5e-02 | 4.1e-01 |\n| KNN-1CSVM | 6.8e-04 | 5.1e-01 | 7.1e-02 | KNN-1CSVM | 9.8e-08 | 8.5e-02 | 1.0e+00 | KNN-1CSVM | 6.7e-08 | 5.8e-02 | 8.7e-01 |\n| LDA-1CSVM | 2.4e-03 | 5.5e-01 | 2.0e-01 | LDA-1CSVM | 2.5e-06 | 4.0e-01 | 6.2e-01 | LDA-1CSVM | 6.3e-07 | 2.1e-01 | 6.2e-01 |\n| LR-1CSVM | 2.3e-03 | 7.6e-01 | 1.3e-01 | LR-1CSVM | 8.9e-06 | 9.0e-01 | 4.0e-01 | MLP-1CSVM | 1.1e-06 | 8.7e-01 | 1.3e-01 |\n| MLP-1CSVM | 1.0e-03 | 8.0e-01 | 1.1e-01 | SVC-1CSVM | 9.5e-07 | 5.9e-02 | 3.0e-01 | SVC-1CSVM | 3.4e-06 | 9.0e-02 | 8.7e-01 |",0]
["| http://dbpedia.org/sparql |\n| --- |\n| http://data.nobelprize.org/sparql |\n| http://data.archiveshub.ac.uk/sparql |\n| http://dati.camera.it/sparql |\n| http://data.utpl.edu.ec/ecuadorresearch/lod/sparql |\n| http://lod.sztaki.hu/sparql |\n| http://semantic.eea.europa.eu/sparql |","| http://data.open.ac.uk/query |\n| --- |\n| http://semanticweb.cs.vu.nl/europeana/sparql |\n| http://services.data.gov.uk/reference/sparql |",1]
["| http://dbpedia.org/sparql |\n| --- |\n| http://data.nobelprize.org/sparql |\n| http://data.archiveshub.ac.uk/sparql |\n| http://dati.camera.it/sparql |\n| http://data.utpl.edu.ec/ecuadorresearch/lod/sparql |\n| http://lod.sztaki.hu/sparql |\n| http://semantic.eea.europa.eu/sparql |","|  | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |\n| --- | --- | --- | --- | --- | --- |\n| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |\n| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |\n| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",0]
["| http://dbpedia.org/sparql |\n| --- |\n| http://data.nobelprize.org/sparql |\n| http://data.archiveshub.ac.uk/sparql |\n| http://dati.camera.it/sparql |","| http://data.utpl.edu.ec/ecuadorresearch/lod/sparql |\n| --- |\n| http://lod.sztaki.hu/sparql |\n| http://semantic.eea.europa.eu/sparql |\n| http://data.open.ac.uk/query |\n| http://semanticweb.cs.vu.nl/europeana/sparql |\n| http://services.data.gov.uk/reference/sparql |",1]
["| http://dbpedia.org/sparql |\n| --- |\n| http://data.nobelprize.org/sparql |\n| http://data.archiveshub.ac.uk/sparql |\n| http://dati.camera.it/sparql |","| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |\n| --- | --- | --- | --- | --- | --- |\n| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",0]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9708 | 0.9638 | 0.9371 | 0.8895 |","| 0.9737 | 0.7189 | 0.9675 | 0.9643 |\n| --- | --- | --- | --- |\n| 0.9749 | 0.3620 | 0.9611 | 0.9725 |\n| 0.9760 | 0.3211 | 0.9565 | 0.9737 |",1]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9708 | 0.9638 | 0.9371 | 0.8895 |","| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9725 | 0.9704 | 0.9687 | 0.9663 |\n| 0.9758 | 0.6258 | 0.9719 | 0.9638 |\n| 0.9812 | 0.5303 | 0.9640 | 0.9751 |\n| 0.9868 | 0.3916 | 0.9589 | 0.9637 |",0]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9708 | 0.9638 | 0.9371 | 0.8895 |","| 0.9737 | 0.7189 | 0.9675 | 0.9643 |\n| --- | --- | --- | --- |\n| 0.9749 | 0.3620 | 0.9611 | 0.9725 |\n| 0.9760 | 0.3211 | 0.9565 | 0.9737 |",1]
["| normalimages | ε=2test | ε=4test | ε=6test |\n| --- | --- | --- | --- |\n| 0.9708 | 0.9638 | 0.9371 | 0.8895 |","| 0.9812 | 0.5303 | 0.9640 | 0.9751 |\n| --- | --- | --- | --- |\n| 0.9868 | 0.3916 | 0.9589 | 0.9637 |",0]
["| T=1 | T=3 |\n| --- | --- |\n| 1.6839 | 0.7567 |\n| 1.6639 | 0.7684 |\n| 1.6090 | 0.8258 |\n| 1.6793 | 0.8017 |","| 1.5191 | 0.7784 |\n| --- | --- |\n| 1.4991 | 0.8218 |\n| 1.4101 | 0.8027 |\n| 1.3879 | 0.7786 |\n| 1.4162 | 0.7408 |",1]
["| T=1 | T=3 |\n| --- | --- |\n| 1.6839 | 0.7567 |\n| 1.6639 | 0.7684 |\n| 1.6090 | 0.8258 |\n| 1.6793 | 0.8017 |","| n | T(n) |\n| --- | --- |\n| 2 | 1 |\n| 3 | 1 |\n| 4 | 4 |\n| 5 | 56 |\n| 6 | 9048 |\n| 7 | 16942080 |\n| 8 | 535281401585 |\n| 9 | 377597570964258 |\n| 10 | 7580721483160132811489280 |\n| 11 | 5.36×10 |\n| 12 | 1.62×10 |\n| 13 | 2.51×10 |\n| 14 | 2.33×10 |\n| 15 | 1.50×10 |",0]
["| T=1 | T=3 |\n| --- | --- |\n| 1.6839 | 0.7567 |\n| 1.6639 | 0.7684 |\n| 1.6090 | 0.8258 |\n| 1.6793 | 0.8017 |","| 1.5191 | 0.7784 |\n| --- | --- |\n| 1.4991 | 0.8218 |\n| 1.4101 | 0.8027 |\n| 1.3879 | 0.7786 |\n| 1.4162 | 0.7408 |",1]
["| T=1 | T=3 |\n| --- | --- |\n| 1.6839 | 0.7567 |\n| 1.6639 | 0.7684 |\n| 1.6090 | 0.8258 |\n| 1.6793 | 0.8017 |","| 7 | 16942080 |\n| --- | --- |\n| 8 | 535281401585 |\n| 9 | 377597570964258 |\n| 10 | 7580721483160132811489280 |\n| 11 | 5.36×10 |\n| 12 | 1.62×10 |\n| 13 | 2.51×10 |\n| 14 | 2.33×10 |\n| 15 | 1.50×10 |",0]
["| AdHocTeammate | OPAT | Aug.IDID |\n| --- | --- | --- |\n| GridT=20,look-ahead=3 |  |  |\n| Random<br>Predeﬁned<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 |\n| BPT=20,look-ahead=3 |  |  |\n| Random<br>Predeﬁned<br>Optimal | 29.26±2.17<br>41.1±1.55<br>52.11±0.48 | 36.15±1.95<br>54.43±3.38<br>59.2±1.55 |","| MABCT=20,look-ahead=3 |  |  |\n| --- | --- | --- |\n| Random<br>Predeﬁned<br>Optimal | 9.68±1.37<br>12.8±0.65<br>16.64±0.28 | 12.13±1.08<br>13.22±0.21<br>15.97±1.31 |",1]
["| AdHocTeammate | OPAT | Aug.IDID |\n| --- | --- | --- |\n| GridT=20,look-ahead=3 |  |  |\n| Random<br>Predeﬁned<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 |\n| BPT=20,look-ahead=3 |  |  |\n| Random<br>Predeﬁned<br>Optimal | 29.26±2.17<br>41.1±1.55<br>52.11±0.48 | 36.15±1.95<br>54.43±3.38<br>59.2±1.55 |","| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| Dissimilar |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",0]
["| AdHocTeammate | OPAT | Aug.IDID |\n| --- | --- | --- |\n| GridT=20,look-ahead=3 |  |  |\n| Random<br>Predeﬁned<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 |","| BPT=20,look-ahead=3 |  |  |\n| --- | --- | --- |\n| Random<br>Predeﬁned<br>Optimal | 29.26±2.17<br>41.1±1.55<br>52.11±0.48 | 36.15±1.95<br>54.43±3.38<br>59.2±1.55 |\n| MABCT=20,look-ahead=3 |  |  |\n| Random<br>Predeﬁned<br>Optimal | 9.68±1.37<br>12.8±0.65<br>16.64±0.28 | 12.13±1.08<br>13.22±0.21<br>15.97±1.31 |",1]
["| AdHocTeammate | OPAT | Aug.IDID |\n| --- | --- | --- |\n| GridT=20,look-ahead=3 |  |  |\n| Random<br>Predeﬁned<br>Optimal | 12.25±1.26<br>11.7±1.63<br>28.35±2.4 | 14.2±0.84<br>16.85±1.35<br>27.96±1.92 |","| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| --- | --- | --- | --- | --- |\n| Dissimilar |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",0]
["|  | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |\n| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 |  |","| Baselinedistance<br>of8meters | AverageDistanceError(m) | 0.030 | 4.3318 | 5.170 | 5.487 | 5.756 | 5.708 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NumberofValidSamples | 10 | 636 | 2529 | 4137 | 4794 | 5233 |  |",1]
["|  | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |\n| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 |  |","| Approach | deep |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RMSE | PR | CCC | RMSE | PR |  |\n| target | 0.67 | .786 | .776 | 0.66 | .787 |\n| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |\n| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |\n| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 |",0]
["|  | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |\n| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 |  |","| Baselinedistance<br>of8meters | AverageDistanceError(m) | 0.030 | 4.3318 | 5.170 | 5.487 | 5.756 | 5.708 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NumberofValidSamples | 10 | 636 | 2529 | 4137 | 4794 | 5233 |  |",1]
["|  | CNRThreshold(dBHz) | 47 | 46 | 45 | 44 | 43 | 42 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baselinedistance<br>of3meters | AverageDistanceError(m) | 0.983 | 3.049 | 4.241 | 4.286 | 4.301 | 4.868 |\n| NumberofValidSamples | 14 | 362 | 2339 | 3736 | 4212 | 4713 |  |","| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |\n| --- | --- | --- | --- | --- | --- |\n| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |\n| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 |",0]
["| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |\n| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |\n| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |\n| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |\n| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 |","| 20 | 14:59:21 | 15:01:19 | 117 | 1388278088 | 320 |\n| --- | --- | --- | --- | --- | --- |\n| 30 | 21:06:39 | 21:08:30 | 112 | 2082417128 | 214 |\n| 30 | 21:10:44 | 21:12:36 | 112 | 2082417128 | 214 |\n| 40 | 15:04:59 | 15:06:52 | 114 | 2776556168 | 160 |\n| 40 | 15:09:55 | 15:11:56 | 120 | 2776556168 | 160 |\n| 50 | 11:00:04 | 11:01:59 | 115 | 3470695208 | 128 |\n| 50 | 14:50:18 | 14:52:11 | 114 | 3470695208 | 128 |\n| 60 | 21:25:47 | 21:27:34 | 107 | 4164834248 | 107 |\n| 60 | 16:07:51 | 16:09:44 | 113 | 4164834248 | 107 |\n| 70 | 15:18:27 | 15:20:19 | 112 | 4858973288 | 92 |\n| 70 | 15:22:29 | 15:24:20 | 110 | 4858973288 | 92 |\n| 80 | 10:49:16 | 10:51:09 | 113 | 5553112328 | 80 |\n| 80 | 10:54:25 | 10:56:19 | 114 | 5553112328 | 80 |\n| 90 | 15:50:29 | 15:52:19 | 109 | 6247251368 | 72 |\n| 90 | 15:55:18 | 15:57:08 | 111 | 6247251368 | 72 |\n| 100 | 21:32:57 | 21:34:43 | 106 | 6941390408 | 64 |\n| 100 | 21:36:45 | 21:38:32 | 106 | 6941390408 | 64 |",1]
["| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |\n| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |\n| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |\n| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |\n| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 |","| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |\n| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |\n| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |\n| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |\n| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |\n| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |\n| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |\n| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",0]
["| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |\n| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |\n| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |\n| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |\n| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 |\n| 20 | 14:59:21 | 15:01:19 | 117 | 1388278088 | 320 |\n| 30 | 21:06:39 | 21:08:30 | 112 | 2082417128 | 214 |\n| 30 | 21:10:44 | 21:12:36 | 112 | 2082417128 | 214 |\n| 40 | 15:04:59 | 15:06:52 | 114 | 2776556168 | 160 |\n| 40 | 15:09:55 | 15:11:56 | 120 | 2776556168 | 160 |\n| 50 | 11:00:04 | 11:01:59 | 115 | 3470695208 | 128 |\n| 50 | 14:50:18 | 14:52:11 | 114 | 3470695208 | 128 |\n| 60 | 21:25:47 | 21:27:34 | 107 | 4164834248 | 107 |\n| 60 | 16:07:51 | 16:09:44 | 113 | 4164834248 | 107 |\n| 70 | 15:18:27 | 15:20:19 | 112 | 4858973288 | 92 |\n| 70 | 15:22:29 | 15:24:20 | 110 | 4858973288 | 92 |\n| 80 | 10:49:16 | 10:51:09 | 113 | 5553112328 | 80 |","| 80 | 10:54:25 | 10:56:19 | 114 | 5553112328 | 80 |\n| --- | --- | --- | --- | --- | --- |\n| 90 | 15:50:29 | 15:52:19 | 109 | 6247251368 | 72 |\n| 90 | 15:55:18 | 15:57:08 | 111 | 6247251368 | 72 |\n| 100 | 21:32:57 | 21:34:43 | 106 | 6941390408 | 64 |\n| 100 | 21:36:45 | 21:38:32 | 106 | 6941390408 | 64 |",1]
["| Batchsize | StartingTime | EndTime | #Seconds | Memory | #Iterations |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 19:08:23 | 19:11:26 | 183 | 69413912 | 6394 |\n| 1 | 16:13:03 | 16:16:06 | 184 | 69413912 | 6394 |\n| 10 | 21:16:31 | 21:18:37 | 125 | 694139048 | 640 |\n| 10 | 21:20:45 | 21:22:53 | 128 | 694139048 | 640 |\n| 20 | 14:55:16 | 14:57:13 | 118 | 1388278088 | 320 |\n| 20 | 14:59:21 | 15:01:19 | 117 | 1388278088 | 320 |\n| 30 | 21:06:39 | 21:08:30 | 112 | 2082417128 | 214 |\n| 30 | 21:10:44 | 21:12:36 | 112 | 2082417128 | 214 |\n| 40 | 15:04:59 | 15:06:52 | 114 | 2776556168 | 160 |\n| 40 | 15:09:55 | 15:11:56 | 120 | 2776556168 | 160 |\n| 50 | 11:00:04 | 11:01:59 | 115 | 3470695208 | 128 |\n| 50 | 14:50:18 | 14:52:11 | 114 | 3470695208 | 128 |\n| 60 | 21:25:47 | 21:27:34 | 107 | 4164834248 | 107 |\n| 60 | 16:07:51 | 16:09:44 | 113 | 4164834248 | 107 |\n| 70 | 15:18:27 | 15:20:19 | 112 | 4858973288 | 92 |\n| 70 | 15:22:29 | 15:24:20 | 110 | 4858973288 | 92 |\n| 80 | 10:49:16 | 10:51:09 | 113 | 5553112328 | 80 |","| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",0]
["| Settings | DHS | DSS | Amulet | Ours |\n| --- | --- | --- | --- | --- |\n| Traintime(h) | – | – | 107 | 22 |","| Testrate(fps)GPU | 21.4 | 2.1 | 15.4 | 30.2 |\n| --- | --- | --- | --- | --- |\n| Testrate(fps)CPU | 0.095 | 0.054 | 0.082 | 3.51 |\n| Modelsize(MB) | 358 | 237 | 126 | 67 |",1]
["| Settings | DHS | DSS | Amulet | Ours |\n| --- | --- | --- | --- | --- |\n| Traintime(h) | – | – | 107 | 22 |","| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |\n| DG2 | 69.71 | 1238960 | 18.998 |\n| DG4 | 68.98 | 1202096 | 18.595 |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["| Settings | DHS | DSS | Amulet | Ours |\n| --- | --- | --- | --- | --- |\n| Traintime(h) | – | – | 107 | 22 |\n| Testrate(fps)GPU | 21.4 | 2.1 | 15.4 | 30.2 |","| Testrate(fps)CPU | 0.095 | 0.054 | 0.082 | 3.51 |\n| --- | --- | --- | --- | --- |\n| Modelsize(MB) | 358 | 237 | 126 | 67 |",1]
["| Settings | DHS | DSS | Amulet | Ours |\n| --- | --- | --- | --- | --- |\n| Traintime(h) | – | – | 107 | 22 |\n| Testrate(fps)GPU | 21.4 | 2.1 | 15.4 | 30.2 |","| DG2S | 70.62 | 1238960 | 18.998 |\n| --- | --- | --- | --- |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["|  | WER-SWB | WER-BN |\n| --- | --- | --- |\n| Nopooling | 23.7 | - |\n| pool=2 | 23.4 | 20.7 |","| pool=3 | 22.9 | 20.7 |\n| --- | --- | --- |\n| pool=4 | 22.9 | 21.4 |",1]
["|  | WER-SWB | WER-BN |\n| --- | --- | --- |\n| Nopooling | 23.7 | - |\n| pool=2 | 23.4 | 20.7 |","|  | 2pooling | 3pooling | 4pooling | 5pooling |\n| --- | --- | --- | --- | --- |\n| RGB | 0.0173 | 0.0284 | 0.0308 | 0.0350 |\n| RGB+dist | 0.0175 | 0.0287 | 0.0312 | 0.0352 |\n| RGB+coord | 0.0182 | 0.0292 | 0.0318 | 0.0356 |\n| RGB+dist+coord | 0.0192 | 0.0298 | 0.0327 | 0.0361 |",0]
["|  | WER-SWB | WER-BN |\n| --- | --- | --- |\n| Nopooling | 23.7 | - |\n| pool=2 | 23.4 | 20.7 |","| pool=3 | 22.9 | 20.7 |\n| --- | --- | --- |\n| pool=4 | 22.9 | 21.4 |",1]
["|  | WER-SWB | WER-BN |\n| --- | --- | --- |\n| Nopooling | 23.7 | - |\n| pool=2 | 23.4 | 20.7 |","| RGB+dist | 0.0175 | 0.0287 | 0.0312 | 0.0352 |\n| --- | --- | --- | --- | --- |\n| RGB+coord | 0.0182 | 0.0292 | 0.0318 | 0.0356 |\n| RGB+dist+coord | 0.0192 | 0.0298 | 0.0327 | 0.0361 |",0]
["| Algorithm | Performance | Nopersonalization | Personalizationapproach |\n| --- | --- | --- | --- |\n| α=0 | α=1 | α=2 |  |","| HCRF(PSPI) | MAE | 2.65 | 2.18(0.05) | 2.12(0.23) |\n| --- | --- | --- | --- | --- |\n| ICC | 0.35 | 0.49(0.03) | 0.50(0.13) |  |\n| RNN-HCRF | MAE | 3.67 | 2.47(0.18) | 2.46(0.23) |\n| ICC | 0.04 | 0.36(0.08) | 0.34(0.04) |  |\n| SVR-HCRF | MAE | 5.44 | 2.98(0.28) | 2.83(0.30) |\n| ICC | 0.04 | 0.22(0.06) | 0.20(0.17) |  |\n| HCRF(X) | MAE | 2.8 | 2.88(0.20) | 2.91(0.39) |\n| ICC | 0.19 | 0.18(0.07) | 0.22(0.14) |  |",1]
["| Algorithm | Performance | Nopersonalization | Personalizationapproach |\n| --- | --- | --- | --- |\n| α=0 | α=1 | α=2 |  |","| Algorithm | IRCCYNDatabase | LFOVIADatabase |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.6359 | 0.2465 | 1.0264 | 0.8816 | 0.8828 | 6.1104 |\n| MS-SSIM | 0.9100 | 0.8534 | 0.6512 | 0.8172 | 0.7888 | 8.9467 |\n| SBIQE | 0.0081 | 0.0054 | 1.2712 | 0.0010 | 0.0043 | 16.0311 |\n| BRISQUE | 0.7535 | 0.8145 | 0.6535 | 0.6182 | 0.6000 | 12.6001 |\n| NIQE | 0.5729 | 0.5664 | 0.8464 | 0.7206 | 0.7376 | 11.1138 |\n| STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |\n| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |\n| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |\n| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |\n| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 |",0]
["| Algorithm | Performance | Nopersonalization | Personalizationapproach |  |\n| --- | --- | --- | --- | --- |\n| α=0 | α=1 | α=2 |  |  |\n| HCRF(PSPI) | MAE | 2.65 | 2.18(0.05) | 2.12(0.23) |\n| ICC | 0.35 | 0.49(0.03) | 0.50(0.13) |  |\n| RNN-HCRF | MAE | 3.67 | 2.47(0.18) | 2.46(0.23) |\n| ICC | 0.04 | 0.36(0.08) | 0.34(0.04) |  |","| SVR-HCRF | MAE | 5.44 | 2.98(0.28) | 2.83(0.30) |\n| --- | --- | --- | --- | --- |\n| ICC | 0.04 | 0.22(0.06) | 0.20(0.17) |  |\n| HCRF(X) | MAE | 2.8 | 2.88(0.20) | 2.91(0.39) |\n| ICC | 0.19 | 0.18(0.07) | 0.22(0.14) |  |",1]
["| Algorithm | Performance | Nopersonalization | Personalizationapproach |  |\n| --- | --- | --- | --- | --- |\n| α=0 | α=1 | α=2 |  |  |\n| HCRF(PSPI) | MAE | 2.65 | 2.18(0.05) | 2.12(0.23) |\n| ICC | 0.35 | 0.49(0.03) | 0.50(0.13) |  |\n| RNN-HCRF | MAE | 3.67 | 2.47(0.18) | 2.46(0.23) |\n| ICC | 0.04 | 0.36(0.08) | 0.34(0.04) |  |","| STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |\n| --- | --- | --- | --- | --- | --- | --- |\n| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |\n| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |\n| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |\n| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 |",0]
["| SoilCategory | SoilGoodnessValue |\n| --- | --- |\n| Gravel | 5 |\n| Sand | 4 |","| Clay | 3 |\n| --- | --- |\n| Silt | 3 |\n| Rock | 1 |",1]
["| SoilCategory | SoilGoodnessValue |\n| --- | --- |\n| Gravel | 5 |\n| Sand | 4 |","| No. | Class | Total | Training | Test | No. | Class | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |\n| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |\n| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |\n| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |\n| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |\n| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |\n| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",0]
["| SoilCategory | SoilGoodnessValue |\n| --- | --- |\n| Gravel | 5 |\n| Sand | 4 |\n| Clay | 3 |","| Silt | 3 |\n| --- | --- |\n| Rock | 1 |",1]
["| SoilCategory | SoilGoodnessValue |\n| --- | --- |\n| Gravel | 5 |\n| Sand | 4 |\n| Clay | 3 |","| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",0]
["|  | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |\n| --- | --- | --- | --- | --- |\n| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |\n| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |\n| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |\n| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |\n| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 |","| nDCG@1 | 93.05 | 86.82 | 47.70 | 62.15 |\n| --- | --- | --- | --- | --- |\n| nDCG@2 | 89.60 | 81.89 | 44.63 | 57.00 |\n| nDCG@3 | 87.72 | 77.22 | 42.75 | 55.20 |\n| nDCG@4 | 86.35 | 72.92 | 41.34 | 54.77 |\n| nDCG@5 | 85.92 | 69.13 | 40.27 | 54.84 |",1]
["|  | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |\n| --- | --- | --- | --- | --- |\n| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |\n| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |\n| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |\n| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |\n| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 |","| network | RM | NM | CM | AvgC | ARL | AvgS |\n| --- | --- | --- | --- | --- | --- | --- |\n| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |\n| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |\n| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |\n| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |\n| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |\n| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |\n| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |\n| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |\n| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |\n| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |\n| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |\n| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |\n| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |\n| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |\n| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |\n| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |\n| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |\n| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |\n| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |\n| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |\n| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |\n| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |\n| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |\n| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |\n| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |\n| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |\n| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |\n| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |\n| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |\n| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |\n| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |\n| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |\n| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |\n| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 |",0]
["|  | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |\n| --- | --- | --- | --- | --- |\n| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |\n| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |\n| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |\n| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |\n| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 |\n| nDCG@1 | 93.05 | 86.82 | 47.70 | 62.15 |","| nDCG@2 | 89.60 | 81.89 | 44.63 | 57.00 |\n| --- | --- | --- | --- | --- |\n| nDCG@3 | 87.72 | 77.22 | 42.75 | 55.20 |\n| nDCG@4 | 86.35 | 72.92 | 41.34 | 54.77 |\n| nDCG@5 | 85.92 | 69.13 | 40.27 | 54.84 |",1]
["|  | AmazonCat-13K | Wiki10K-31K | Delicious-200K | WikiLSHTC-325K |\n| --- | --- | --- | --- | --- |\n| Prec@1 | 93.05 | 86.82 | 47.70 | 62.15 |\n| Prec@2 | 86.56 | 80.44 | 43.67 | 48.37 |\n| Prec@3 | 79.18 | 74.30 | 41.22 | 39.58 |\n| Prec@4 | 72.06 | 68.61 | 39.37 | 33.52 |\n| Prec@5 | 64.54 | 63.68 | 37.98 | 29.10 |\n| nDCG@1 | 93.05 | 86.82 | 47.70 | 62.15 |","| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |\n| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |\n| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |\n| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |\n| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |\n| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |\n| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |\n| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |\n| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |\n| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |\n| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |\n| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |\n| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |\n| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |\n| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 |",0]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |\n| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |\n| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |\n| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |\n| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |","| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |\n| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |\n| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |\n| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |\n| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |\n| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |\n| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |\n| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |\n| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |\n| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b |",1]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |\n| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |\n| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |\n| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |\n| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |","|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |\n| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |\n| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |\n| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |\n| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |\n| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |\n| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |\n| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |\n| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |\n| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |\n| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |\n| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |\n| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |","| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |\n| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b |",1]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |\n| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |\n| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |\n| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |\n| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |\n| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |\n| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |\n| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |\n| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |\n| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |\n| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |\n| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |\n| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |","| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |\n| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |\n| M=10,µ=0.1111,σ=0.10 |  |  |  |  |","| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0813±0.0035<br>0.0813±0.0035<br>0.0824±0.0035<br>0.0832±0.0036 | 3.51±0.04<br>3.53±0.05<br>3.65±0.03<br>3.76±0.12 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |\n| --- | --- | --- | --- | --- |\n| M=20,µ=0.0526,σ=0.04980 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0795±0.0034<br>0.0794±0.0034<br>0.0795±0.0034<br>0.0804±0.0035 | 3.43±0.04<br>3.45±0.04<br>3.49±0.02<br>3.45±0.07 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |\n| M=30,µ=0.0345,σ=0.03530 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0784±0.0034<br>0.0784±0.0033<br>0.0787±0.0034<br>0.0790±0.0034 | 3.68±0.03<br>3.68±0.04<br>3.67±0.03<br>3.54±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 |",1]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |\n| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |\n| M=10,µ=0.1111,σ=0.10 |  |  |  |  |","| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0728±0.0030 | 277.03±4.30 | 420 | - |\n| GKKM | 0.0729±0.0030 | 25.52±0.18 | 36 | 0.7760 |\n| M=5,µ=0.25,σ=0.25480 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0748±0.0031<br>0.0749±0.0031<br>0.0764±0.0032<br>0.0776±0.0033 | 2.99±0.10<br>3.12±0.18<br>2.85±0.06<br>2.99±0.15 | 10<br>10<br>8<br>7.13±0.97 | 0.2482<br>0.2482<br>0.2482<br>0.2331 |\n| M=10,µ=0.1111,σ=0.13200 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0746±0.0031<br>0.0745±0.0031<br>0.0757±0.0032<br>0.0757±0.0031 | 2.85±0.19<br>2.84±0.14<br>2.57±0.04<br>2.64±0.10 | 16<br>16<br>16<br>13.09±1.10 | 0.1108<br>0.1108<br>0.1104<br>0.0996 |\n| M=20,µ=0.0526,σ=0.09650 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0735±0.0029<br>0.0737±0.0029<br>0.0753±0.0031<br>0.0753±0.0031 | 2.87±0.12<br>2.96±0.17<br>2.55±0.03<br>2.56±0.04 | 21<br>21<br>20<br>15.95±1.13 | 0.0520<br>0.0520<br>0.0525<br>0.0467 |\n| M=30,µ=0.0345,σ=0.05030 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 |",0]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |\n| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |\n| M=10,µ=0.1111,σ=0.10 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0813±0.0035<br>0.0813±0.0035<br>0.0824±0.0035<br>0.0832±0.0036 | 3.51±0.04<br>3.53±0.05<br>3.65±0.03<br>3.76±0.12 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |\n| M=20,µ=0.0526,σ=0.04980 |  |  |  |  |","| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0795±0.0034<br>0.0794±0.0034<br>0.0795±0.0034<br>0.0804±0.0035 | 3.43±0.04<br>3.45±0.04<br>3.49±0.02<br>3.45±0.07 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |\n| --- | --- | --- | --- | --- |\n| M=30,µ=0.0345,σ=0.03530 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0784±0.0034<br>0.0784±0.0033<br>0.0787±0.0034<br>0.0790±0.0034 | 3.68±0.03<br>3.68±0.04<br>3.67±0.03<br>3.54±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 |",1]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0810±0.0035 | 15.2468±0.3231 | 103 | - |\n| GKKM | 0.0852±0.0038 | 5.69±0.01 | 5 | 0.5347 |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0845±0.0037<br>0.0845±0.0037<br>0.0848±0.0037<br>0.0862±0.0038 | 4.62±0.05<br>4.64±0.05<br>4.54±0.02<br>5.02±0.21 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |\n| M=10,µ=0.1111,σ=0.10 |  |  |  |  |\n| CCBS<br>CCBS(rand)<br>GCBS<br>GCBS(rand) | 0.0813±0.0035<br>0.0813±0.0035<br>0.0824±0.0035<br>0.0832±0.0036 | 3.51±0.04<br>3.53±0.05<br>3.65±0.03<br>3.76±0.12 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |\n| M=20,µ=0.0526,σ=0.04980 |  |  |  |  |","| M=30,µ=0.0345,σ=0.05030 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 |",0]
["|  | P | R | F | P | R | F |\n| --- | --- | --- | --- | --- | --- | --- |\n| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |\n| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 |","| R3-6+BT | 0.755 | 0.705 | 0.729 | 0.961 | 0.961 | 0.961 |\n| --- | --- | --- | --- | --- | --- | --- |\n| S+r | 0.722 | 0.63 | 0.673 | 0.979 | 0.955 | 0.967 |\n| S+r+BT | 0.799 | 0.753 | 0.776 | 0.973 | 0.969 | 0.971 |\n| S+BT | 0.779 | 0.714 | 0.745 | 0.969 | 0.966 | 0.968 |",1]
["|  | P | R | F | P | R | F |\n| --- | --- | --- | --- | --- | --- | --- |\n| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |\n| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 |","| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |\n| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |\n| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |\n| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |\n| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",0]
["|  | P | R | F | P | R | F |\n| --- | --- | --- | --- | --- | --- | --- |\n| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |\n| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 |","| R3-6+BT | 0.755 | 0.705 | 0.729 | 0.961 | 0.961 | 0.961 |\n| --- | --- | --- | --- | --- | --- | --- |\n| S+r | 0.722 | 0.63 | 0.673 | 0.979 | 0.955 | 0.967 |\n| S+r+BT | 0.799 | 0.753 | 0.776 | 0.973 | 0.969 | 0.971 |\n| S+BT | 0.779 | 0.714 | 0.745 | 0.969 | 0.966 | 0.968 |",1]
["|  | P | R | F | P | R | F |\n| --- | --- | --- | --- | --- | --- | --- |\n| R3-5 | 0.495 | 0.665 | 0.568 | 0.894 | 0.872 | 0.883 |\n| R3-6 | 0.683 | 0.683 | 0.683 | 0.957 | 0.95 | 0.953 |","| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",0]
["| Depth=d+2 | Meank |\n| --- | --- |\n| d=2 | 5.58 |\n| d=10 | 2.54 |\n| d=20 | 1.73 |","| d=50 | 1.04 |\n| --- | --- |\n| d=100 | 0.67 |",1]
["| Depth=d+2 | Meank |\n| --- | --- |\n| d=2 | 5.58 |\n| d=10 | 2.54 |\n| d=20 | 1.73 |","| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| Depth=d+2 | Meank |\n| --- | --- |\n| d=2 | 5.58 |\n| d=10 | 2.54 |\n| d=20 | 1.73 |","| d=50 | 1.04 |\n| --- | --- |\n| d=100 | 0.67 |",1]
["| Depth=d+2 | Meank |\n| --- | --- |\n| d=2 | 5.58 |\n| d=10 | 2.54 |\n| d=20 | 1.73 |","| 28 | 36.5M | 4.17 |\n| --- | --- | --- |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 |","| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 |",1]
["| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 |","| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |","| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 |",1]
["| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |","| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",0]
["| Library | URL |\n| --- | --- |\n| zlib | http://zlib.net/ |","| boost | http://www.boost.org/ |\n| --- | --- |\n| lpsolve | http://sourceforge.net/projects/lpsolve/ |\n| glpk | http://www.gnu.org/software/glpk/ |\n| gfortran | http://gcc.gnu.org/fortran/ |\n| LAPACK | http://www.netlib.org/lapack/ |\n| BLAS | http://www.netlib.org/blas/index.html |\n| Armadillo | http://arma.sourceforge.net/ |",1]
["| Library | URL |\n| --- | --- |\n| zlib | http://zlib.net/ |","|  | VIC0 | VICI | VICII | VICIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | C,C++,Python,Cshell,Fortran |  |  |  |\n| Sourceﬁles | 35 | 61 | 77 | 97 |\n| Dataﬁles | 3689 | 6313 | 11460 | 11481 |\n| DependencyFiles | 247 | 260 | 314 | 357 |\n| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |\n| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s |",0]
["| Library | URL |\n| --- | --- |\n| zlib | http://zlib.net/ |","| boost | http://www.boost.org/ |\n| --- | --- |\n| lpsolve | http://sourceforge.net/projects/lpsolve/ |\n| glpk | http://www.gnu.org/software/glpk/ |\n| gfortran | http://gcc.gnu.org/fortran/ |\n| LAPACK | http://www.netlib.org/lapack/ |\n| BLAS | http://www.netlib.org/blas/index.html |\n| Armadillo | http://arma.sourceforge.net/ |",1]
["| Library | URL |\n| --- | --- |\n| zlib | http://zlib.net/ |","| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |\n| --- | --- | --- | --- | --- |\n| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s |",0]
["| #ofPHY | #ofSR | Naive(s) | Heur(s) |\n| --- | --- | --- | --- |\n| 128 | 100 | 1.30 | 0.03 |","| 128 | 200 | 3.23 | 0.08 |\n| --- | --- | --- | --- |\n| 128 | 400 | 5.37 | 0.23 |\n| 128 | 800 | 11.61 | 1.00 |\n| 256 | 100 | 1.93 | 0.03 |\n| 256 | 200 | 4.62 | 0.08 |\n| 256 | 400 | 9.47 | 0.23 |\n| 256 | 800 | 22.24 | 0.98 |",1]
["| #ofPHY | #ofSR | Naive(s) | Heur(s) |\n| --- | --- | --- | --- |\n| 128 | 100 | 1.30 | 0.03 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| #ofPHY | #ofSR | Naive(s) | Heur(s) |\n| --- | --- | --- | --- |\n| 128 | 100 | 1.30 | 0.03 |\n| 128 | 200 | 3.23 | 0.08 |\n| 128 | 400 | 5.37 | 0.23 |\n| 128 | 800 | 11.61 | 1.00 |\n| 256 | 100 | 1.93 | 0.03 |","| 256 | 200 | 4.62 | 0.08 |\n| --- | --- | --- | --- |\n| 256 | 400 | 9.47 | 0.23 |\n| 256 | 800 | 22.24 | 0.98 |",1]
["| #ofPHY | #ofSR | Naive(s) | Heur(s) |\n| --- | --- | --- | --- |\n| 128 | 100 | 1.30 | 0.03 |\n| 128 | 200 | 3.23 | 0.08 |\n| 128 | 400 | 5.37 | 0.23 |\n| 128 | 800 | 11.61 | 1.00 |\n| 256 | 100 | 1.93 | 0.03 |","| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",0]
["| state | powerconsumption(inWatts) |\n| --- | --- |\n| BUSY | 240 |\n| IDLE | 150 |","| SLEEP | 10 |\n| --- | --- |\n| OFF | 0 |",1]
["| state | powerconsumption(inWatts) |\n| --- | --- |\n| BUSY | 240 |\n| IDLE | 150 |","| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |\n| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |\n| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",0]
["| state | powerconsumption(inWatts) |\n| --- | --- |\n| BUSY | 240 |\n| IDLE | 150 |","| SLEEP | 10 |\n| --- | --- |\n| OFF | 0 |",1]
["| state | powerconsumption(inWatts) |\n| --- | --- |\n| BUSY | 240 |\n| IDLE | 150 |","| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |\n| --- | --- | --- | --- |\n| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |\n| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",0]
["| IntegratedSafetyandSecurityRisk<br>AssessmentMethod | Year | Country | Citations |\n| --- | --- | --- | --- |\n| EFT | 2009 | Italy | 63 |\n| ExtendedCFT | 2013 | Germany | 17 |\n| FACTGraph | 2015 | Singapore | 5 |","| CHASSIS | 2015 | Austria | 4 |\n| --- | --- | --- | --- |\n| FMVEA | 2014 | Austria | 4 |\n| SAHARA | 2015 | Austria | 2 |\n| UniﬁedSecurityandSafetyRiskAssessment | 2014 | Taiwan | 1 |",1]
["| IntegratedSafetyandSecurityRisk<br>AssessmentMethod | Year | Country | Citations |\n| --- | --- | --- | --- |\n| EFT | 2009 | Italy | 63 |\n| ExtendedCFT | 2013 | Germany | 17 |\n| FACTGraph | 2015 | Singapore | 5 |","| Code | Region | Numberofpatents |\n| --- | --- | --- |\n| WO | WorldIntellectualPropertyOrganization | 292 |\n| EP | EuropeanPatentOﬃce | 163 |\n| KR | RepublicofKorea | 51 |\n| RU | RussianFederation | 5 |\n| ZA | SouthAfrica | 3 |\n| IL | Israel | 3 |\n| ES | Spain | 3 |\n| SG | Singapore | 2 |\n| MX | Mexico | 1 |",0]
["| IntegratedSafetyandSecurityRisk<br>AssessmentMethod | Year | Country | Citations |\n| --- | --- | --- | --- |\n| EFT | 2009 | Italy | 63 |\n| ExtendedCFT | 2013 | Germany | 17 |\n| FACTGraph | 2015 | Singapore | 5 |","| CHASSIS | 2015 | Austria | 4 |\n| --- | --- | --- | --- |\n| FMVEA | 2014 | Austria | 4 |\n| SAHARA | 2015 | Austria | 2 |\n| UniﬁedSecurityandSafetyRiskAssessment | 2014 | Taiwan | 1 |",1]
["| IntegratedSafetyandSecurityRisk<br>AssessmentMethod | Year | Country | Citations |\n| --- | --- | --- | --- |\n| EFT | 2009 | Italy | 63 |\n| ExtendedCFT | 2013 | Germany | 17 |\n| FACTGraph | 2015 | Singapore | 5 |","| KR | RepublicofKorea | 51 |\n| --- | --- | --- |\n| RU | RussianFederation | 5 |\n| ZA | SouthAfrica | 3 |\n| IL | Israel | 3 |\n| ES | Spain | 3 |\n| SG | Singapore | 2 |\n| MX | Mexico | 1 |",0]
["| PNMM |  |\n| --- | --- |\n| 5Endmembers | 8Endmembers |","| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| --- | --- | --- | --- | --- |\n| FCLS | 0.1966 | 1 | 0.1521 | 1 |\n| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |\n| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |\n| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |\n| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |\n|  | GBM |  |  |  |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",1]
["| PNMM |  |\n| --- | --- |\n| 5Endmembers | 8Endmembers |","| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | 5endmembers | 8endmembers |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1893 | 1 | 0.1243 | 1 |\n| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |\n| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |\n| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |\n| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |\n|  | GBM |  |  |  |\n| FCLS | 0.2419 | 1 | 0.1836 | 1 |\n| SK-Hype | 0.1080 | 3320.7 | 0.0738 | 3072.6 |\n| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |\n| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |\n| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |",0]
["| PNMM |  |\n| --- | --- |\n| 5Endmembers | 8Endmembers |","| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| --- | --- | --- | --- | --- |\n| FCLS | 0.1966 | 1 | 0.1521 | 1 |\n| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |\n| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |\n| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |\n| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |\n|  | GBM |  |  |  |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",1]
["| PNMM |  |\n| --- | --- |\n| 5Endmembers | 8Endmembers |","| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |\n| --- | --- | --- | --- | --- |\n| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |\n| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |",0]
["|  | facedetection | eyedetection | Time(s) |\n| --- | --- | --- | --- |\n| Originalimage | 0.297 | 0.58 | NULL |","| Lowrank+sparsity | 0.375 | 0.70 | 10 |\n| --- | --- | --- | --- |\n| Multiscalelowrank | 0.359 | 1.00 | 4472 |\n| IBTSVT | 0.844 | 1.00 | 715 |",1]
["|  | facedetection | eyedetection | Time(s) |\n| --- | --- | --- | --- |\n| Originalimage | 0.297 | 0.58 | NULL |","| Operation | Mean | Max | 99pct. | Stdev. |\n| --- | --- | --- | --- | --- |\n| Imagecapture | 1.61 | 1.81 | 1.75 | 0.05 |\n| Imagepre-processing | 2.77 | 2.90 | 2.87 | 0.04 |\n| CNNinferencing | 18.49 | 19.30 | 18.99 | 0.20 |\n| TotalTime | 22.86 | 23.74 | 23.38 | 0.20 |",0]
["|  | facedetection | eyedetection | Time(s) |\n| --- | --- | --- | --- |\n| Originalimage | 0.297 | 0.58 | NULL |","| Lowrank+sparsity | 0.375 | 0.70 | 10 |\n| --- | --- | --- | --- |\n| Multiscalelowrank | 0.359 | 1.00 | 4472 |\n| IBTSVT | 0.844 | 1.00 | 715 |",1]
["|  | facedetection | eyedetection | Time(s) |\n| --- | --- | --- | --- |\n| Originalimage | 0.297 | 0.58 | NULL |","| Imagepre-processing | 2.77 | 2.90 | 2.87 | 0.04 |\n| --- | --- | --- | --- | --- |\n| CNNinferencing | 18.49 | 19.30 | 18.99 | 0.20 |\n| TotalTime | 22.86 | 23.74 | 23.38 | 0.20 |",0]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 18.9 | 17.8 | 18.9 | 19.4 | 18.6 | 20.0 |","| O2 | 18.7 | 17.9 | 18.7 | 19.3 | 18.4 | 19.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O3 | 17.9 | 17.2 | 17.7 | 18.3 | 17.9 | 18.8 |\n| O4 | 18.6 | 17.7 | 18.5 | 19.1 | 19.0 | 19.7 |\n| O5 | 18.7 | 17.6 | 18.4 | 18.9 | 19.1 | 19.5 |\n| O6 | 18.8 | 17.3 | 19.0 | 19.7 | 19.3 | 20.2 |",1]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 18.9 | 17.8 | 18.9 | 19.4 | 18.6 | 20.0 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 18.9 | 17.8 | 18.9 | 19.4 | 18.6 | 20.0 |","| O2 | 18.7 | 17.9 | 18.7 | 19.3 | 18.4 | 19.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O3 | 17.9 | 17.2 | 17.7 | 18.3 | 17.9 | 18.8 |\n| O4 | 18.6 | 17.7 | 18.5 | 19.1 | 19.0 | 19.7 |\n| O5 | 18.7 | 17.6 | 18.4 | 18.9 | 19.1 | 19.5 |\n| O6 | 18.8 | 17.3 | 19.0 | 19.7 | 19.3 | 20.2 |",1]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 18.9 | 17.8 | 18.9 | 19.4 | 18.6 | 20.0 |","| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| Method | Torso | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- |\n| Andrilukaetal. | 97.0 | 91.7 | 84.5 | 94.0 | 90.6 |","| Sappetal. | 100 | 88.5 | 78.0 | 87.6 | 86.8 |\n| --- | --- | --- | --- | --- | --- |\n| YangandRamanan | 99.8 | 95.7 | 87.5 | 95.6 | 93.6 |\n| OurApproach | 100 | 97.2 | 91.3 | 99.1 | 95.7 |",1]
["| Method | Torso | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- |\n| Andrilukaetal. | 97.0 | 91.7 | 84.5 | 94.0 | 90.6 |","| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |\n|  | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |\n|  | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |\n| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |\n| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 |",0]
["| Method | Torso | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- |\n| Andrilukaetal. | 97.0 | 91.7 | 84.5 | 94.0 | 90.6 |\n| Sappetal. | 100 | 88.5 | 78.0 | 87.6 | 86.8 |","| YangandRamanan | 99.8 | 95.7 | 87.5 | 95.6 | 93.6 |\n| --- | --- | --- | --- | --- | --- |\n| OurApproach | 100 | 97.2 | 91.3 | 99.1 | 95.7 |",1]
["| Method | Torso | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- |\n| Andrilukaetal. | 97.0 | 91.7 | 84.5 | 94.0 | 90.6 |\n| Sappetal. | 100 | 88.5 | 78.0 | 87.6 | 86.8 |","| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 |",0]
["| Stability | atopicAexistsattimetandt+1 |\n| --- | --- |\n| Birth | thetopicAattimet+1hasnoantecedentattimet |","| Death | thetopicAattimetdisappearsattimet+1 |\n| --- | --- |\n| Merging | multipletopicsattimetcombineinanewtopicAattimet+1 |\n| Splitting | multipletopicsattimet+1shareanantecedentattimet |",1]
["| Stability | atopicAexistsattimetandt+1 |\n| --- | --- |\n| Birth | thetopicAattimet+1hasnoantecedentattimet |","| Pattern | Total |\n| --- | --- |\n| (supertype)(diﬀerentiaquality) | 27 |\n| (supertype)(diﬀerentiaevent) | 13 |\n| (diﬀerentiaquality)(supertype) | 6 |\n| (supertype)(diﬀerentiaevent)(eventlocation) | 5 |\n| (supertype)(diﬀerentiaquality)(purpose) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaevent) | 3 |\n| (accessorydeterminer)(supertype)(diﬀerentiaquality) | 2 |\n| (supertype)OR(diﬀerentiaquality)+ | 2 |\n| (supertype)(originlocation) | 2 |\n| (diﬀerentiaquality)(supertype)(diﬀerentiaquality) | 2 |\n| OR(supertype)+(diﬀerentiaevent) | 2 |\n| (diﬀerentiaquality)+(supertype) | 2 |\n| (diﬀerentiaquality)+(supertype)(diﬀerentiaevent) | 2 |\n| Other | 29 |\n| Total | 100 |",0]
["| Stability | atopicAexistsattimetandt+1 |\n| --- | --- |\n| Birth | thetopicAattimet+1hasnoantecedentattimet |","| Death | thetopicAattimetdisappearsattimet+1 |\n| --- | --- |\n| Merging | multipletopicsattimetcombineinanewtopicAattimet+1 |\n| Splitting | multipletopicsattimet+1shareanantecedentattimet |",1]
["| Stability | atopicAexistsattimetandt+1 |\n| --- | --- |\n| Birth | thetopicAattimet+1hasnoantecedentattimet |","| (diﬀerentiaquality)+(supertype)(diﬀerentiaevent) | 2 |\n| --- | --- |\n| Other | 29 |\n| Total | 100 |",0]
["| Timestamp | Downlink | Uplink | Longitude | Latitude | Accuracy | Altitude |\n| --- | --- | --- | --- | --- | --- | --- |\n| 100 | 1192.1749 | 971.52216 | 40.459123 | -88.070278 | 14 | 193.0 |","| 101 | 566.8956 | 932.59045 | 40.459017 | -88.066069 | 13 | 189.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 102 | 834.95325 | 1560.9518 | 40.459028 | -88.063833 | 11 | 195.0 |\n| 103 | 1192.1749 | 971.52216 | 40.459123 | -88.070278 | 14 | 193.0 |\n| 104 | 878.0356 | 1117.8868 | 40.459036 | -88.062363 | 11 | 197.0 |",1]
["| Timestamp | Downlink | Uplink | Longitude | Latitude | Accuracy | Altitude |\n| --- | --- | --- | --- | --- | --- | --- |\n| 100 | 1192.1749 | 971.52216 | 40.459123 | -88.070278 | 14 | 193.0 |","|  | Dist | StaﬀCost | TravelCost | CO2 | CarUse |\n| --- | --- | --- | --- | --- | --- |\n| Lon-1 | 204.64:206.93 | 841:974.67 | 82.54:85.79 | 133.83:163.75 | 0:0.25 |\n| Lon-2 | 223.3:231.02 | 870.67:1014.67 | 89.71:103.04 | 148.94:192.85 | 0.06:0.33 |\n| Lon-4 | 225.37:244.09 | 904.33:1276 | 94.63:116.74 | 158.77:194.59 | 0.04:0.33 |\n| Lon-8 | 230.8:230.34 | 967.33:1376.67 | 103.5:140.1 | 159.07:240.54 | 0.04:0.35 |\n| Lon-Rnd | 244.91:259.11 | 944:1140.33 | 99.48:107.4 | 155.17:216.53 | 0.04:0.33 |\n|  |  |  |  |  |  |\n| Blon-1 | 698.48:619.15 | 1987:2182.33 | 222.63:207.17 | 527.27:506.02 | 0.04:0.25 |\n| Blon-2 | 729.21:644.07 | 2107.67:2385.67 | 244.54:243.55 | 584.99:581.16 | 0.07:0.32 |\n| Blon-4 | 708.25:722.53 | 2183.33:2545.67 | 267.85:272.34 | 584.19:637.26 | 0.08:0.33 |\n| Blon-8 | 688.94:658.52 | 2209:2772 | 272.22:311.52 | 586.81:637.5 | 0.08:0.38 |\n| Blon-rnd | 730.3:666.29 | 2256:2717.67 | 251.31:263.1 | 580.16:602.47 | 0.09:0.36 |",0]
["| Timestamp | Downlink | Uplink | Longitude | Latitude | Accuracy | Altitude |\n| --- | --- | --- | --- | --- | --- | --- |\n| 100 | 1192.1749 | 971.52216 | 40.459123 | -88.070278 | 14 | 193.0 |\n| 101 | 566.8956 | 932.59045 | 40.459017 | -88.066069 | 13 | 189.0 |","| 102 | 834.95325 | 1560.9518 | 40.459028 | -88.063833 | 11 | 195.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 103 | 1192.1749 | 971.52216 | 40.459123 | -88.070278 | 14 | 193.0 |\n| 104 | 878.0356 | 1117.8868 | 40.459036 | -88.062363 | 11 | 197.0 |",1]
["| Timestamp | Downlink | Uplink | Longitude | Latitude | Accuracy | Altitude |\n| --- | --- | --- | --- | --- | --- | --- |\n| 100 | 1192.1749 | 971.52216 | 40.459123 | -88.070278 | 14 | 193.0 |\n| 101 | 566.8956 | 932.59045 | 40.459017 | -88.066069 | 13 | 189.0 |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Blon-1 | 698.48:619.15 | 1987:2182.33 | 222.63:207.17 | 527.27:506.02 | 0.04:0.25 |\n| Blon-2 | 729.21:644.07 | 2107.67:2385.67 | 244.54:243.55 | 584.99:581.16 | 0.07:0.32 |\n| Blon-4 | 708.25:722.53 | 2183.33:2545.67 | 267.85:272.34 | 584.19:637.26 | 0.08:0.33 |\n| Blon-8 | 688.94:658.52 | 2209:2772 | 272.22:311.52 | 586.81:637.5 | 0.08:0.38 |\n| Blon-rnd | 730.3:666.29 | 2256:2717.67 | 251.31:263.1 | 580.16:602.47 | 0.09:0.36 |",0]
["| STPair | #SeedFacts | #InferredFacts | Accuracy |\n| --- | --- | --- | --- |\n| (big,City) | 10,354 | 93,186 | 0.92 |\n| (experienced,Athlete) | 499 | 3,488 | 0.83 |","| (cute,Animal) | 4,096 | 12,284 | 0.76 |\n| --- | --- | --- | --- |\n| (old,Building) | 233 | 1,398 | 0.93 |\n| (popular,Film) | 272 | 1,632 | 0.87 |",1]
["| STPair | #SeedFacts | #InferredFacts | Accuracy |\n| --- | --- | --- | --- |\n| (big,City) | 10,354 | 93,186 | 0.92 |\n| (experienced,Athlete) | 499 | 3,488 | 0.83 |","| STPair | ClassiﬁcationModel | Accuracy |\n| --- | --- | --- |\n| (big,City) | DT | 0.925 |\n| (experienced,Athlete) | RBF-SVM | 0.80 |\n| (cute,Animal) | RBF-SVM/RF/DT | 0.685 |\n| (old,Building) | RBF-SVM | 0.89 |\n| (popular,Film) | DT | 0.79 |",0]
["| STPair | #SeedFacts | #InferredFacts | Accuracy |\n| --- | --- | --- | --- |\n| (big,City) | 10,354 | 93,186 | 0.92 |\n| (experienced,Athlete) | 499 | 3,488 | 0.83 |\n| (cute,Animal) | 4,096 | 12,284 | 0.76 |","| (old,Building) | 233 | 1,398 | 0.93 |\n| --- | --- | --- | --- |\n| (popular,Film) | 272 | 1,632 | 0.87 |",1]
["| STPair | #SeedFacts | #InferredFacts | Accuracy |\n| --- | --- | --- | --- |\n| (big,City) | 10,354 | 93,186 | 0.92 |\n| (experienced,Athlete) | 499 | 3,488 | 0.83 |\n| (cute,Animal) | 4,096 | 12,284 | 0.76 |","| (experienced,Athlete) | RBF-SVM | 0.80 |\n| --- | --- | --- |\n| (cute,Animal) | RBF-SVM/RF/DT | 0.685 |\n| (old,Building) | RBF-SVM | 0.89 |\n| (popular,Film) | DT | 0.79 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |\n| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |\n| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |\n| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |","| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |\n| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |\n| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |\n| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |","| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 2 | 2 | 41,568 | 54,315 | 6.37 | 2.4 | 0.09 | 4 |\n| dexter | 4 | 3 | 31 | 19 | 54 | 16 | 1 | 29 |\n| arcene | 3 | 3 | 16 | 15 | 20 | 1 | 0.3 | 19 |\n| dorothea | 59 | 705 | - | - | 594 | 4 | 4 | 59 |\n| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |\n| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 |",0]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |\n| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |\n| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |","| dorothea | 24 | 28 | - | - | 6 | 15/15 | 40/15 | 10/10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| leukemia | 1014 | - | - | - | 1 | 10/20 | 20/10 | 10/10 |\n| breast-cancer | 8 | 6 | 10 | 7 | 4 | 40/35 | 40/25 | 35/40 |",1]
["| Dataset | MMPC | HITON-PC | MMMB | HITON-MB | IAMB | mRMR | CMI | JMI |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prostate | 9 | 8 | 175 | 98 | 2 | 5/20 | 15/5 | 20/20 |\n| dexter | 8 | 8 | 11 | 10 | 4 | 25/20 | 25/20 | 25/25 |\n| arcene | 4 | 4 | 5 | 6 | 3 | 5/10 | 15/20 | 35/35 |","| leukemia | 10,033 | - | - | - | 5 | 2 | 0.3 | 3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| breast-cancer | 9 | 11 | 45 | 43 | 43.23 | 17 | 0.7 | 31 |",0]
["| phrasetype | Compositional | Aspectual | Idiomatic |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding | global | simplex | sense | global | simplex | sense | global | simplex | sense |\n| prec@1 | 0.125 | 0.232 | 0.482 | 0.0625 | 0.0625 | 0.5 | 0.190 | 0.143 | 0.333 |","| prec@2 | 0.196 | 0.277 | 0.429 | 0.125 | 0.0625 | 0.406 | 0.238 | 0.167 | 0.429 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prec@3 | 0.220 | 0.268 | 0.417 | 0.188 | 0.042 | 0.438 | 0.190 | 0.159 | 0.381 |",1]
["| phrasetype | Compositional | Aspectual | Idiomatic |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding | global | simplex | sense | global | simplex | sense | global | simplex | sense |\n| prec@1 | 0.125 | 0.232 | 0.482 | 0.0625 | 0.0625 | 0.5 | 0.190 | 0.143 | 0.333 |","|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 24.3 | 26.0 | 27.5 | 28.8 |\n| highest-in-coverage | 20.4 | 21.5 | 23.7 | 25.3 |\n| recognizer+N-gramKSs | 20.4 | 22.5 | 23.8 | 25.2 |\n| N-gram/highest-in-coverage | 19.0 | 20.5 | 22.6 | 24.1 |\n| recognizer+linguisticKSs | 17.6 | 19.6 | 21.7 | 23.5 |\n| allavailableKSs | 17.6 | 19.6 | 21.5 | 22.8 |\n| (lowestWEin10-best) | 11.3 | 12.0 | 13.0 | 14.0 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["| phrasetype | Compositional | Aspectual | Idiomatic |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding | global | simplex | sense | global | simplex | sense | global | simplex | sense |\n| prec@1 | 0.125 | 0.232 | 0.482 | 0.0625 | 0.0625 | 0.5 | 0.190 | 0.143 | 0.333 |","| prec@2 | 0.196 | 0.277 | 0.429 | 0.125 | 0.0625 | 0.406 | 0.238 | 0.167 | 0.429 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| prec@3 | 0.220 | 0.268 | 0.417 | 0.188 | 0.042 | 0.438 | 0.190 | 0.159 | 0.381 |",1]
["| phrasetype | Compositional | Aspectual | Idiomatic |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| embedding | global | simplex | sense | global | simplex | sense | global | simplex | sense |\n| prec@1 | 0.125 | 0.232 | 0.482 | 0.0625 | 0.0625 | 0.5 | 0.190 | 0.143 | 0.333 |","| highest-in-coverage | 20.4 | 21.5 | 23.7 | 25.3 |\n| --- | --- | --- | --- | --- |\n| recognizer+N-gramKSs | 20.4 | 22.5 | 23.8 | 25.2 |\n| N-gram/highest-in-coverage | 19.0 | 20.5 | 22.6 | 24.1 |\n| recognizer+linguisticKSs | 17.6 | 19.6 | 21.7 | 23.5 |\n| allavailableKSs | 17.6 | 19.6 | 21.5 | 22.8 |\n| (lowestWEin10-best) | 11.3 | 12.0 | 13.0 | 14.0 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["| Role | ARG | CVAG |\n| --- | --- | --- |\n| Leader | No | Yes |\n| Analyzer | No | Yes |\n| Designer | No | Yes |","| Author | No | Yes |\n| --- | --- | --- |\n| Timekeeper | No | Yes |\n| Explainer | Yes | Yes |\n| Recorder | Yes | No |\n| Gate-keeper | Yes | No |\n| Directiongiver | Yes | No |\n| Clariﬁer/paraphraser | Yes | Yes(*) |\n| Summarizer | Yes | No |\n| Accuracycoach | Yes | Yes(**) |\n| Understandingchecker | Yes | No |\n| Elaborator | Yes | No |\n| Perspective-takingroles | Yes | No |\n| Ideacriticizer | Yes | No |\n| Justiﬁcationasker | Yes | No |\n| Diﬀerentiator | Yes | No |\n| Integrator | Yes | Yes |\n| Extender | Yes | No |\n| Prober | Yes | No |",1]
["| Role | ARG | CVAG |\n| --- | --- | --- |\n| Leader | No | Yes |\n| Analyzer | No | Yes |\n| Designer | No | Yes |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| Role | ARG | CVAG |\n| --- | --- | --- |\n| Leader | No | Yes |\n| Analyzer | No | Yes |\n| Designer | No | Yes |\n| Author | No | Yes |\n| Timekeeper | No | Yes |\n| Explainer | Yes | Yes |\n| Recorder | Yes | No |\n| Gate-keeper | Yes | No |\n| Directiongiver | Yes | No |","| Clariﬁer/paraphraser | Yes | Yes(*) |\n| --- | --- | --- |\n| Summarizer | Yes | No |\n| Accuracycoach | Yes | Yes(**) |\n| Understandingchecker | Yes | No |\n| Elaborator | Yes | No |\n| Perspective-takingroles | Yes | No |\n| Ideacriticizer | Yes | No |\n| Justiﬁcationasker | Yes | No |\n| Diﬀerentiator | Yes | No |\n| Integrator | Yes | Yes |\n| Extender | Yes | No |\n| Prober | Yes | No |",1]
["| Role | ARG | CVAG |\n| --- | --- | --- |\n| Leader | No | Yes |\n| Analyzer | No | Yes |\n| Designer | No | Yes |\n| Author | No | Yes |\n| Timekeeper | No | Yes |\n| Explainer | Yes | Yes |\n| Recorder | Yes | No |\n| Gate-keeper | Yes | No |\n| Directiongiver | Yes | No |","| 8 | NELast | WhetherwisNEinthelastsentence |\n| --- | --- | --- |\n| 9 | POS | Partofspeechofw |",0]
["| Method | CPUTime(seconds) | Numberofiterations | (cid:107)x(cid:107)1 |\n| --- | --- | --- | --- |\n| FISTA | 1690 | 554 | 3.98 |","| APCG | 680 | 68,363(blocksize10) | 6.67 |\n| --- | --- | --- | --- |\n| SVRG | ≥10,000 | ≥93(epochlength17,648) | 5.19 |\n| MAGMA | 526 | 144ﬁneand120coarse | 3.09 |",1]
["| Method | CPUTime(seconds) | Numberofiterations | (cid:107)x(cid:107)1 |\n| --- | --- | --- | --- |\n| FISTA | 1690 | 554 | 3.98 |","|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 6 | 69 | 0.62 | 356 | 1.21 | 46 | 0.41 | 366 | 1.38 |\n| 7 | 163 | 1.11 | 609 | 1.34 | 110 | 0.81 | 584 | 1.41 |\n| 8 | 367 | 2.06 | 901 | 1.54 | 312 | 1.79 | 908 | 1.61 |\n| 9 | 832 | 4.37 | 1243 | 1.70 | 586 | 3.05 | 1207 | 1.77 |\n| 10 | 1516 | 7.26 | 1734 | 1.81 | 1115 | 5.54 | 1700 | 2.00 |\n| 11 | 2992 | 13.14 | 2147 | 1.93 | 2087 | 9.50 | 2128 | 2.27 |\n| 12 | 4997 | 21.56 | 2849 | 2.16 | 3510 | 14.13 | 2765 | 2.43 |",0]
["| Method | CPUTime(seconds) | Numberofiterations | (cid:107)x(cid:107)1 |\n| --- | --- | --- | --- |\n| FISTA | 1690 | 554 | 3.98 |\n| APCG | 680 | 68,363(blocksize10) | 6.67 |","| SVRG | ≥10,000 | ≥93(epochlength17,648) | 5.19 |\n| --- | --- | --- | --- |\n| MAGMA | 526 | 144ﬁneand120coarse | 3.09 |",1]
["| Method | CPUTime(seconds) | Numberofiterations | (cid:107)x(cid:107)1 |\n| --- | --- | --- | --- |\n| FISTA | 1690 | 554 | 3.98 |\n| APCG | 680 | 68,363(blocksize10) | 6.67 |","| 8 | 367 | 2.06 | 901 | 1.54 | 312 | 1.79 | 908 | 1.61 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 832 | 4.37 | 1243 | 1.70 | 586 | 3.05 | 1207 | 1.77 |\n| 10 | 1516 | 7.26 | 1734 | 1.81 | 1115 | 5.54 | 1700 | 2.00 |\n| 11 | 2992 | 13.14 | 2147 | 1.93 | 2087 | 9.50 | 2128 | 2.27 |\n| 12 | 4997 | 21.56 | 2849 | 2.16 | 3510 | 14.13 | 2765 | 2.43 |",0]
["| K=1000 | C2F | C2F+wt |\n| --- | --- | --- |\n| 0 | 82.25 | 86.78 |\n| 1000 | 80.23 | 83.95 |\n| 10,000 | 77.36 | 79.30 |","| 100,000 | 71.64 | 72.73 |\n| --- | --- | --- |\n| 500,000 | 68.39 | 69.41 |\n| 1,000,000 | 67.26 | 69.15 |",1]
["| K=1000 | C2F | C2F+wt |\n| --- | --- | --- |\n| 0 | 82.25 | 86.78 |\n| 1000 | 80.23 | 83.95 |\n| 10,000 | 77.36 | 79.30 |","| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |\n| DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 |\n| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| K=1000 | C2F | C2F+wt |\n| --- | --- | --- |\n| 0 | 82.25 | 86.78 |","| 1000 | 80.23 | 83.95 |\n| --- | --- | --- |\n| 10,000 | 77.36 | 79.30 |\n| 100,000 | 71.64 | 72.73 |\n| 500,000 | 68.39 | 69.41 |\n| 1,000,000 | 67.26 | 69.15 |",1]
["| K=1000 | C2F | C2F+wt |\n| --- | --- | --- |\n| 0 | 82.25 | 86.78 |","| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| Metric(avg.) | NAMIC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |","| PSNR(dB) | 24.36 | 26.51 | 27.14 | 27.30 | 27.26 | 27.81 | 29.04 | 30.35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SSIM | 0.8771 | 0.8874 | 0.8934 | 0.8983 | 0.9166 | 0.9130 | 0.9173 | 0.9270 |",1]
["| Metric(avg.) | NAMIC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |","| Metric(avg.) | NAMIC |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| PSNR | 24.98 | 27.22 | 29.83 | 27.13 | 28.95 | 32.03 |\n| SSIM | 0.8821 | 0.8981 | 0.9013 | 0.9198 | 0.9273 | 0.9301 |",0]
["| Metric(avg.) | NAMIC |\n| --- | --- |\n|  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR(dB) | 24.36 | 26.51 | 27.14 | 27.30 | 27.26 | 27.81 | 29.04 | 30.35 |\n| SSIM | 0.8771 | 0.8874 | 0.8934 | 0.8983 | 0.9166 | 0.9130 | 0.9173 | 0.9270 |",1]
["| Metric(avg.) | NAMIC |\n| --- | --- |\n|  |  |","| PSNR | 24.98 | 27.22 | 29.83 | 27.13 | 28.95 | 32.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | 0.8821 | 0.8981 | 0.9013 | 0.9198 | 0.9273 | 0.9301 |",0]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |","| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |\n| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |\n| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |\n| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |\n| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |\n| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",1]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |","| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP1 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 35978 | 57248 | 21270 | 905 | 22175 |\n| M2 | 10000 | 21590 | 34869 | 56459 | 21590 | 11513 | 33103 |\n| M3 | 10000 | 53005 | 3008 | 56013 | 53005 | 3292 | 56297 |\n| M4 | 10000 | 32424 | 24691 | 57115 | 32424 | 6996 | 39420 |\n| M5 | 10000 | 17364 | 38493 | 55857 | 17364 | 4612 | 21976 |\n| M6 | 10000 | 15841 | 41237 | 57078 | 15841 | 2066 | 17907 |\n| M7 | 10000 | 38732 | 18483 | 57215 | 38727 | 18459 | 57186 |\n| M8 | 1250 | 185 | 56915 | 57100 | 184 | 16077 | 16261 |\n| TotalExec-Time | 57248 | TotalExec-Time | 57186 |  |  |  |  |",0]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |\n| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |\n| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |\n| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |\n| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |\n| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |\n| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |","| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",1]
["| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |\n| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |\n| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |\n| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |\n| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |\n| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |\n| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |","| M4 | 10000 | 32424 | 24691 | 57115 | 32424 | 6996 | 39420 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M5 | 10000 | 17364 | 38493 | 55857 | 17364 | 4612 | 21976 |\n| M6 | 10000 | 15841 | 41237 | 57078 | 15841 | 2066 | 17907 |\n| M7 | 10000 | 38732 | 18483 | 57215 | 38727 | 18459 | 57186 |\n| M8 | 1250 | 185 | 56915 | 57100 | 184 | 16077 | 16261 |\n| TotalExec-Time | 57248 | TotalExec-Time | 57186 |  |  |  |  |",0]
["| Size | Diameter | Average | Median | Localest. | Nr.ofconf. |\n| --- | --- | --- | --- | --- | --- |\n| 1×1 | 4 | 2.17 | 2 | 9 | 24 |\n| 2×1 | 7 | 4.44 | 5 | 18 | 576 |\n| 3×1 | 10 | 6.59 | 7 | 27 | 13824 |\n| 4×1 | 12 | 8.59 | 9 | 36 | 331776 |\n| 2×2 | 12 | 7.82 | 8 | 35 | 16588 |","| 5×1 | 15 | 10.69 | 11 | 45 | 7962624 |\n| --- | --- | --- | --- | --- | --- |\n| 6×1 | 17 | 12.65 | 13 | 54 | 191102976 |\n| 3×2 | 14 | 10.54 | 11 | 52 | 47775744 |",1]
["| Size | Diameter | Average | Median | Localest. | Nr.ofconf. |\n| --- | --- | --- | --- | --- | --- |\n| 1×1 | 4 | 2.17 | 2 | 9 | 24 |\n| 2×1 | 7 | 4.44 | 5 | 18 | 576 |\n| 3×1 | 10 | 6.59 | 7 | 27 | 13824 |\n| 4×1 | 12 | 8.59 | 9 | 36 | 331776 |\n| 2×2 | 12 | 7.82 | 8 | 35 | 16588 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Size | Diameter | Average | Median | Localest. | Nr.ofconf. |\n| --- | --- | --- | --- | --- | --- |\n| 1×1 | 4 | 2.17 | 2 | 9 | 24 |\n| 2×1 | 7 | 4.44 | 5 | 18 | 576 |\n| 3×1 | 10 | 6.59 | 7 | 27 | 13824 |\n| 4×1 | 12 | 8.59 | 9 | 36 | 331776 |","| 2×2 | 12 | 7.82 | 8 | 35 | 16588 |\n| --- | --- | --- | --- | --- | --- |\n| 5×1 | 15 | 10.69 | 11 | 45 | 7962624 |\n| 6×1 | 17 | 12.65 | 13 | 54 | 191102976 |\n| 3×2 | 14 | 10.54 | 11 | 52 | 47775744 |",1]
["| Size | Diameter | Average | Median | Localest. | Nr.ofconf. |\n| --- | --- | --- | --- | --- | --- |\n| 1×1 | 4 | 2.17 | 2 | 9 | 24 |\n| 2×1 | 7 | 4.44 | 5 | 18 | 576 |\n| 3×1 | 10 | 6.59 | 7 | 27 | 13824 |\n| 4×1 | 12 | 8.59 | 9 | 36 | 331776 |","| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Phase | Step | RT(sec) |\n| --- | --- | --- |\n| LoadTime | LoadingModel | 30.50 |\n| LoadTime | UDF:EmbedTuples | 55.00 |\n| LoadTime | UDF:EmbedSentences | 150.00 |\n| LoadTime | CreateIndexforTuples | 0.04 |\n| LoadTime | CreateIndexforSentences | 3.07 |\n| LoadTime | Sumoverallsteps | 208.1 |","| QueryTime | CrossJoinTop10 | 115.9 |\n| --- | --- | --- |\n| QueryTime | UDF:QueryNNTop10Sent. | 9.60 |\n| QueryTime | UDF:QueryNNTop10Tuples | 29.15 |",1]
["| Phase | Step | RT(sec) |\n| --- | --- | --- |\n| LoadTime | LoadingModel | 30.50 |\n| LoadTime | UDF:EmbedTuples | 55.00 |\n| LoadTime | UDF:EmbedSentences | 150.00 |\n| LoadTime | CreateIndexforTuples | 0.04 |\n| LoadTime | CreateIndexforSentences | 3.07 |\n| LoadTime | Sumoverallsteps | 208.1 |","| Parameter | Setting |\n| --- | --- |\n| Spacedomain(m×m) | 10,000×10,000 |\n| Numberofobjects | 100K,200K,...,500K |\n| Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |\n| kNN-k | 10,20,30,...,50 |\n| Querypredicttime(ts) | 0,30,60,...,120 |\n| Nodesize(byte) | 1K,2K,4K,···,16K |\n| Datasets | SEO,LD,BOS,SZ |",0]
["| Phase | Step | RT(sec) |\n| --- | --- | --- |\n| LoadTime | LoadingModel | 30.50 |\n| LoadTime | UDF:EmbedTuples | 55.00 |\n| LoadTime | UDF:EmbedSentences | 150.00 |\n| LoadTime | CreateIndexforTuples | 0.04 |","| LoadTime | CreateIndexforSentences | 3.07 |\n| --- | --- | --- |\n| LoadTime | Sumoverallsteps | 208.1 |\n| QueryTime | CrossJoinTop10 | 115.9 |\n| QueryTime | UDF:QueryNNTop10Sent. | 9.60 |\n| QueryTime | UDF:QueryNNTop10Tuples | 29.15 |",1]
["| Phase | Step | RT(sec) |\n| --- | --- | --- |\n| LoadTime | LoadingModel | 30.50 |\n| LoadTime | UDF:EmbedTuples | 55.00 |\n| LoadTime | UDF:EmbedSentences | 150.00 |\n| LoadTime | CreateIndexforTuples | 0.04 |","| Numberofobjects | 100K,200K,...,500K |\n| --- | --- |\n| Querywindowsize(m×m) | 200×200,400×400,...,1000×1000 |\n| kNN-k | 10,20,30,...,50 |\n| Querypredicttime(ts) | 0,30,60,...,120 |\n| Nodesize(byte) | 1K,2K,4K,···,16K |\n| Datasets | SEO,LD,BOS,SZ |",0]
["| Images |\n| --- |\n| 400,000 |\n| 87,577 |","| 121,450 |\n| --- |\n| 191,463 |\n| 403,398 |\n| 925,327 |",1]
["| Images |\n| --- |\n| 400,000 |\n| 87,577 |","| ProbeSet | Gallery |\n| --- | --- |\n| 7,745 | 100 |\n| 12,529 | 200 |\n| 18,644 | 400 |\n| 22,395 | 600 |\n| 24,555 | 800 |\n| 25,582 | 1,000 |\n| 26,078 | 1,200 |\n| 26,478 | 1,400 |",0]
["| Images |\n| --- |\n| 400,000 |\n| 87,577 |\n| 121,450 |\n| 191,463 |","| 403,398 |\n| --- |\n| 925,327 |",1]
["| Images |\n| --- |\n| 400,000 |\n| 87,577 |\n| 121,450 |\n| 191,463 |","| 18,644 | 400 |\n| --- | --- |\n| 22,395 | 600 |\n| 24,555 | 800 |\n| 25,582 | 1,000 |\n| 26,078 | 1,200 |\n| 26,478 | 1,400 |",0]
["| Algorithm | MR=0.25 | MR=0.10 | MR=0.04 | MR=0.01 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 2.943 | 3.223 | 3.467 | 7.790 |","| NLR-CS | 314.852 | 305.703 | 300.666 | 314.176 |\n| --- | --- | --- | --- | --- |\n| D-AMP | 27.764 | 31.849 | 34.207 | 54.643 |\n| ReconNet(CPU) | 0.5249 | 0.5258 | 0.5284 | 0.5193 |\n| ReconNet(GPU) | 0.0213 | 0.0195 | 0.0192 | 0.0244 |\n| SDA(GPU) | 0.0042 | 0.0029 | 0.0025 | 0.0045 |",1]
["| Algorithm | MR=0.25 | MR=0.10 | MR=0.04 | MR=0.01 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 2.943 | 3.223 | 3.467 | 7.790 |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| Algorithm | MR=0.25 | MR=0.10 | MR=0.04 | MR=0.01 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 2.943 | 3.223 | 3.467 | 7.790 |\n| NLR-CS | 314.852 | 305.703 | 300.666 | 314.176 |\n| D-AMP | 27.764 | 31.849 | 34.207 | 54.643 |\n| ReconNet(CPU) | 0.5249 | 0.5258 | 0.5284 | 0.5193 |","| ReconNet(GPU) | 0.0213 | 0.0195 | 0.0192 | 0.0244 |\n| --- | --- | --- | --- | --- |\n| SDA(GPU) | 0.0042 | 0.0029 | 0.0025 | 0.0045 |",1]
["| Algorithm | MR=0.25 | MR=0.10 | MR=0.04 | MR=0.01 |\n| --- | --- | --- | --- | --- |\n| TVAL3 | 2.943 | 3.223 | 3.467 | 7.790 |\n| NLR-CS | 314.852 | 305.703 | 300.666 | 314.176 |\n| D-AMP | 27.764 | 31.849 | 34.207 | 54.643 |\n| ReconNet(CPU) | 0.5249 | 0.5258 | 0.5284 | 0.5193 |","| 0.0006 | 0.000173 | 4 | 0.312 |\n| --- | --- | --- | --- |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.871 | 0.975 | 0.536 | 0.846 | 0.814 | 0.725 | 0.784 |","| 0.816 | 0.975 | 0.536 | 0.846 | 0.814 | 0.702 | 0.784 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.657 | 0.234 | 0.405 | 0.307 | 0.387 | 0.567 | 0.530 |\n| 0.546 | 0.262 | 0.420 | 0.319 | 0.394 | 0.404 | 0.515 |\n| 0.871 | 0.981 | 0.899 | 0.845 | 0.880 | 0.767 | 0.807 |\n| 0.871 | 0.981 | 0.922 | 0.858 | 0.888 | 0.825 | 0.828 |",1]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.871 | 0.975 | 0.536 | 0.846 | 0.814 | 0.725 | 0.784 |","| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.856 | 0.949 | 0.518 | 0.834 | 0.757 | 0.725 | 0.778 |\n| 0.794 | 0.949 | 0.518 | 0.834 | 0.757 | 0.673 | 0.778 |\n| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |\n| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |\n| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |\n| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 |",0]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.871 | 0.975 | 0.536 | 0.846 | 0.814 | 0.725 | 0.784 |","| 0.816 | 0.975 | 0.536 | 0.846 | 0.814 | 0.702 | 0.784 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.657 | 0.234 | 0.405 | 0.307 | 0.387 | 0.567 | 0.530 |\n| 0.546 | 0.262 | 0.420 | 0.319 | 0.394 | 0.404 | 0.515 |\n| 0.871 | 0.981 | 0.899 | 0.845 | 0.880 | 0.767 | 0.807 |\n| 0.871 | 0.981 | 0.922 | 0.858 | 0.888 | 0.825 | 0.828 |",1]
["| Tribune | NYPost | Suntimes | Freep | Techweb | CleanEval | Myriad40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.871 | 0.975 | 0.536 | 0.846 | 0.814 | 0.725 | 0.784 |","| 0.794 | 0.949 | 0.518 | 0.834 | 0.757 | 0.673 | 0.778 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.771 | 0.417 | 0.591 | 0.608 | 0.603 | 0.662 | 0.643 |\n| 0.690 | 0.439 | 0.590 | 0.627 | 0.609 | 0.508 | 0.632 |\n| 0.855 | 0.964 | 0.799 | 0.836 | 0.828 | 0.743 | 0.804 |\n| 0.855 | 0.964 | 0.812 | 0.846 | 0.838 | 0.802 | 0.831 |",0]
["| Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.9037 | 0.8991 | 7.0246 | 0.8769 | 0.8755 | 5.8162 |","| MS-SSIM | 0.8901 | 0.8681 | 21.2322 | 0.8423 | 0.7785 | 15.1681 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SBIQE | 0.0006 | 0.0027 | 25.4484 | 0.0021 | 0.0051 | 12.0123 |\n| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |\n| NIQE | 0.8499 | 0.8705 | 13.4076 | 0.6835 | 0.6929 | 8.8334 |\n| STMAD | 0.7815 | 0.8000 | 10.2358 | 0.6534 | 0.6010 | 9.1614 |\n| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",1]
["| Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.9037 | 0.8991 | 7.0246 | 0.8769 | 0.8755 | 5.8162 |","| Algorithm | IRCCYNDatabase | LFOVIADatabase |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.6359 | 0.2465 | 1.0264 | 0.8816 | 0.8828 | 6.1104 |\n| MS-SSIM | 0.9100 | 0.8534 | 0.6512 | 0.8172 | 0.7888 | 8.9467 |\n| SBIQE | 0.0081 | 0.0054 | 1.2712 | 0.0010 | 0.0043 | 16.0311 |\n| BRISQUE | 0.7535 | 0.8145 | 0.6535 | 0.6182 | 0.6000 | 12.6001 |\n| NIQE | 0.5729 | 0.5664 | 0.8464 | 0.7206 | 0.7376 | 11.1138 |\n| STMAD | 0.6400 | 0.3495 | 0.9518 | 0.6802 | 0.6014 | 9.4918 |\n| FLOSIM | 0.9178 | 0.9111 | 0.4918 | - | - | - |\n| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |\n| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |\n| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 |",0]
["| Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.9037 | 0.8991 | 7.0246 | 0.8769 | 0.8755 | 5.8162 |\n| MS-SSIM | 0.8901 | 0.8681 | 21.2322 | 0.8423 | 0.7785 | 15.1681 |\n| SBIQE | 0.0006 | 0.0027 | 25.4484 | 0.0021 | 0.0051 | 12.0123 |\n| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |","| NIQE | 0.8499 | 0.8705 | 13.4076 | 0.6835 | 0.6929 | 8.8334 |\n| --- | --- | --- | --- | --- | --- | --- |\n| STMAD | 0.7815 | 0.8000 | 10.2358 | 0.6534 | 0.6010 | 9.1614 |\n| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",1]
["| Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.9037 | 0.8991 | 7.0246 | 0.8769 | 0.8755 | 5.8162 |\n| MS-SSIM | 0.8901 | 0.8681 | 21.2322 | 0.8423 | 0.7785 | 15.1681 |\n| SBIQE | 0.0006 | 0.0027 | 25.4484 | 0.0021 | 0.0051 | 12.0123 |\n| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |","| Chenetal. | 0.7886 | 0.7861 | 0.7464 | 0.8573 | 0.8588 | 6.6655 |\n| --- | --- | --- | --- | --- | --- | --- |\n| STRIQE | 0.7931 | 0.6400 | 0.7544 | 0.7543 | 0.7485 | 8.5011 |\n| VQUEMODES(NIQE) | 0.9697 | 0.9637 | 0.2635 | 0.8943 | 0.8890 | 5.9124 |",0]
["| Supporters | No.ofLabeledUsers |\n| --- | --- |\n| pro-Erdogan | 1,777 |","| anti-Erdoganw/outpartyaﬃliation | 2,134 |\n| --- | --- |\n| pro-CHP | 833 |\n| pro-IYIParty | 900 |\n| pro-HDP | 357 |",1]
["| Supporters | No.ofLabeledUsers |\n| --- | --- |\n| pro-Erdogan | 1,777 |","| Protestors | H | I-POMDP | Many-Agent | Exp.Value |\n| --- | --- | --- | --- | --- |\n| 2 | 2<br>3 | 1s<br>19s | 0.55s<br>17s | 77.42<br>222.42 |\n| 3 | 2<br>3 | 3s<br>38s | 0.56s<br>17s | 77.34<br>222.32 |\n| 4 | 2<br>3 | 39s<br>223s | 0.57s<br>17s | 76.96<br>221.87 |\n| 5 | 2<br>3 | 603s<br>2,480s | 0.60s<br>18s | 76.88<br>221.77 |",0]
["| Supporters | No.ofLabeledUsers |\n| --- | --- |\n| pro-Erdogan | 1,777 |\n| anti-Erdoganw/outpartyaﬃliation | 2,134 |","| pro-CHP | 833 |\n| --- | --- |\n| pro-IYIParty | 900 |\n| pro-HDP | 357 |",1]
["| Supporters | No.ofLabeledUsers |\n| --- | --- |\n| pro-Erdogan | 1,777 |\n| anti-Erdoganw/outpartyaﬃliation | 2,134 |","| 3 | 2<br>3 | 3s<br>38s | 0.56s<br>17s | 77.34<br>222.32 |\n| --- | --- | --- | --- | --- |\n| 4 | 2<br>3 | 39s<br>223s | 0.57s<br>17s | 76.96<br>221.87 |\n| 5 | 2<br>3 | 603s<br>2,480s | 0.60s<br>18s | 76.88<br>221.77 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 200000 | 100000 | 50000 | 70000 |","| 50000 | 80000 | 40000 | 60000 |\n| --- | --- | --- | --- |\n| 70000 | 150000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 200000 | 100000 | 50000 | 70000 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 50000 | 80000 | 40000 | 60000 |\n| 200000 | 100000 | 50000 | 70000 |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 200000 | 100000 | 50000 | 70000 |","| 50000 | 80000 | 40000 | 60000 |\n| --- | --- | --- | --- |\n| 70000 | 150000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 200000 | 100000 | 50000 | 70000 |","| 450000 | 15000 | 20000 | 30000 |\n| --- | --- | --- | --- |\n| 45000 | 20000 | 30000 | 80000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 50000 | 80000 | 40000 | 60000 |\n| 200000 | 100000 | 50000 | 70000 |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| Real<br>Graph | Statistical<br>Methods |  |  |  |\n| --- | --- | --- | --- | --- |\n| Power-law | Lognormal | Exponential | Pareto-Exp. | LNP |","| Monterey<br>nodes13.843<br>edges≈704K | LogL.<br>AIC<br>RSS | 8.75338e+04<br>1.75069e+05<br>3.05267e+02 | 7.83008e+04<br>1.56605e+05<br>2.07443e+00 | 7.78214e+04<br>1.55644e+05<br>4.86935e-01 | 7.76411e+04<br>1.55188e+05<br>3.43766e-01 | 7.76411e+04<br>1.55288e+05<br>2.59320e-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SantaBarbara<br>nodes27.140<br>edges≈2M | LogL.<br>AIC<br>RSS | 1.80247e+05<br>3.60497e+05<br>4.38954e+02 | 1.63328e+05<br>3.26660e+05<br>5.81415e+00 | 1.61209e+05<br>3.22421e+05<br>7.31640e-01 | 1.60516e+05<br>3.21036e+05<br>3.37774e-01 | 1.61152e+05<br>3.22311e+05<br>6.10471e-01 |\n| Egypt<br>nodes283K<br>edges≈11M | LogL.<br>AIC<br>RSS | 1.62073e+06<br>3.24148e+06<br>1.17928e+03 | 1.53376e+06<br>3.06754e+06<br>7.68335e+00 | 1.53832e+06<br>3.07664e+06<br>1.69934e+00 | 1.50289e+06<br>3.00579e+06<br>3.43834e-01 | 1.49892e+06<br>2.99785e+06<br>2.13671e-01 |\n| LosAngeles<br>nodes572K<br>edges≈43M | LogL.<br>AIC<br>RSS | 3.81640e+06<br>7.63281e+06<br>1.74060e+03 | 3.45975e+06<br>6.91950e+06<br>8.60777e+00 | 3.44290e+06<br>6.88581e+06<br>1.50800e+00 | 3.42677e+06<br>6.85354e+06<br>8.55362e-01 | 3.41280e+06<br>6.82561e+06<br>5.02215e-01 |\n| NewYork<br>nodes855K<br>edges≈66M | LogL.<br>AIC<br>RSS | 5.66194e+06<br>1.13239e+07<br>1.81230e+03 | 5.23512e+06<br>1.04702e+07<br>1.65956e+01 | 5.17802e+06<br>1.03560e+07<br>1.87038e+00 | 5.12808e+06<br>1.02561e+07<br>5.88628e-01 | 5.13177e+06<br>1.02635e+07<br>7.90849e-01 |\n| ManhattanR.W.<br>nodes957K<br>edges≈80M | LogL.<br>AIC<br>RSS | 6.76810e+06<br>1.35362e+07<br>1.31910e+03 | 5.92193e+06<br>1.18438e+07<br>4.01862e+00 | 5.86365e+06<br>1.17273e+07<br>9.62000e-02 | 6.02838e+06<br>1.20567e+07<br>8.07448e+00 | 5.89459e+06<br>1.92208e+07<br>6.29269e-01 |\n| London<br>nodes1.6M<br>edges≈118M | LogL.<br>AIC<br>RSS | 1.07131e+07<br>2.14262e+07<br>1.79927e+03 | 9.75799e+06<br>1.95159e+07<br>1.24657e+01 | 9.60413e+06<br>1.92082e+07<br>7.33091e-01 | 9.65522e+06<br>1.92104e+07<br>2.30840e-01 | 9.61043e+06<br>1.17892e+07<br>1.26502e+00 |\n| Orkut<br>nodes3M<br>edges≈111M | LogL.<br>AIC<br>RSS | 1.81346e+07<br>3.62692e+07<br>1.94280e+03 | 1.63179e+07<br>3.26358e+07<br>2.41064e+00 | 1.62442e+07<br>3.24885e+07<br>3.75274e-01 | 1.61573e+07<br>3.23147e+07<br>2.95699e-01 | 1.61822e+07<br>3.23645e+07<br>4.16978e-01 |",1]
["| Real<br>Graph | Statistical<br>Methods |  |  |  |\n| --- | --- | --- | --- | --- |\n| Power-law | Lognormal | Exponential | Pareto-Exp. | LNP |","| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| Real<br>Graph | Statistical<br>Methods |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Power-law | Lognormal | Exponential | Pareto-Exp. | LNP |  |  |\n| Monterey<br>nodes13.843<br>edges≈704K | LogL.<br>AIC<br>RSS | 8.75338e+04<br>1.75069e+05<br>3.05267e+02 | 7.83008e+04<br>1.56605e+05<br>2.07443e+00 | 7.78214e+04<br>1.55644e+05<br>4.86935e-01 | 7.76411e+04<br>1.55188e+05<br>3.43766e-01 | 7.76411e+04<br>1.55288e+05<br>2.59320e-01 |\n| SantaBarbara<br>nodes27.140<br>edges≈2M | LogL.<br>AIC<br>RSS | 1.80247e+05<br>3.60497e+05<br>4.38954e+02 | 1.63328e+05<br>3.26660e+05<br>5.81415e+00 | 1.61209e+05<br>3.22421e+05<br>7.31640e-01 | 1.60516e+05<br>3.21036e+05<br>3.37774e-01 | 1.61152e+05<br>3.22311e+05<br>6.10471e-01 |\n| Egypt<br>nodes283K<br>edges≈11M | LogL.<br>AIC<br>RSS | 1.62073e+06<br>3.24148e+06<br>1.17928e+03 | 1.53376e+06<br>3.06754e+06<br>7.68335e+00 | 1.53832e+06<br>3.07664e+06<br>1.69934e+00 | 1.50289e+06<br>3.00579e+06<br>3.43834e-01 | 1.49892e+06<br>2.99785e+06<br>2.13671e-01 |\n| LosAngeles<br>nodes572K<br>edges≈43M | LogL.<br>AIC<br>RSS | 3.81640e+06<br>7.63281e+06<br>1.74060e+03 | 3.45975e+06<br>6.91950e+06<br>8.60777e+00 | 3.44290e+06<br>6.88581e+06<br>1.50800e+00 | 3.42677e+06<br>6.85354e+06<br>8.55362e-01 | 3.41280e+06<br>6.82561e+06<br>5.02215e-01 |\n| NewYork<br>nodes855K<br>edges≈66M | LogL.<br>AIC<br>RSS | 5.66194e+06<br>1.13239e+07<br>1.81230e+03 | 5.23512e+06<br>1.04702e+07<br>1.65956e+01 | 5.17802e+06<br>1.03560e+07<br>1.87038e+00 | 5.12808e+06<br>1.02561e+07<br>5.88628e-01 | 5.13177e+06<br>1.02635e+07<br>7.90849e-01 |","| ManhattanR.W.<br>nodes957K<br>edges≈80M | LogL.<br>AIC<br>RSS | 6.76810e+06<br>1.35362e+07<br>1.31910e+03 | 5.92193e+06<br>1.18438e+07<br>4.01862e+00 | 5.86365e+06<br>1.17273e+07<br>9.62000e-02 | 6.02838e+06<br>1.20567e+07<br>8.07448e+00 | 5.89459e+06<br>1.92208e+07<br>6.29269e-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| London<br>nodes1.6M<br>edges≈118M | LogL.<br>AIC<br>RSS | 1.07131e+07<br>2.14262e+07<br>1.79927e+03 | 9.75799e+06<br>1.95159e+07<br>1.24657e+01 | 9.60413e+06<br>1.92082e+07<br>7.33091e-01 | 9.65522e+06<br>1.92104e+07<br>2.30840e-01 | 9.61043e+06<br>1.17892e+07<br>1.26502e+00 |\n| Orkut<br>nodes3M<br>edges≈111M | LogL.<br>AIC<br>RSS | 1.81346e+07<br>3.62692e+07<br>1.94280e+03 | 1.63179e+07<br>3.26358e+07<br>2.41064e+00 | 1.62442e+07<br>3.24885e+07<br>3.75274e-01 | 1.61573e+07<br>3.23147e+07<br>2.95699e-01 | 1.61822e+07<br>3.23645e+07<br>4.16978e-01 |",1]
["| Real<br>Graph | Statistical<br>Methods |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Power-law | Lognormal | Exponential | Pareto-Exp. | LNP |  |  |\n| Monterey<br>nodes13.843<br>edges≈704K | LogL.<br>AIC<br>RSS | 8.75338e+04<br>1.75069e+05<br>3.05267e+02 | 7.83008e+04<br>1.56605e+05<br>2.07443e+00 | 7.78214e+04<br>1.55644e+05<br>4.86935e-01 | 7.76411e+04<br>1.55188e+05<br>3.43766e-01 | 7.76411e+04<br>1.55288e+05<br>2.59320e-01 |\n| SantaBarbara<br>nodes27.140<br>edges≈2M | LogL.<br>AIC<br>RSS | 1.80247e+05<br>3.60497e+05<br>4.38954e+02 | 1.63328e+05<br>3.26660e+05<br>5.81415e+00 | 1.61209e+05<br>3.22421e+05<br>7.31640e-01 | 1.60516e+05<br>3.21036e+05<br>3.37774e-01 | 1.61152e+05<br>3.22311e+05<br>6.10471e-01 |\n| Egypt<br>nodes283K<br>edges≈11M | LogL.<br>AIC<br>RSS | 1.62073e+06<br>3.24148e+06<br>1.17928e+03 | 1.53376e+06<br>3.06754e+06<br>7.68335e+00 | 1.53832e+06<br>3.07664e+06<br>1.69934e+00 | 1.50289e+06<br>3.00579e+06<br>3.43834e-01 | 1.49892e+06<br>2.99785e+06<br>2.13671e-01 |\n| LosAngeles<br>nodes572K<br>edges≈43M | LogL.<br>AIC<br>RSS | 3.81640e+06<br>7.63281e+06<br>1.74060e+03 | 3.45975e+06<br>6.91950e+06<br>8.60777e+00 | 3.44290e+06<br>6.88581e+06<br>1.50800e+00 | 3.42677e+06<br>6.85354e+06<br>8.55362e-01 | 3.41280e+06<br>6.82561e+06<br>5.02215e-01 |\n| NewYork<br>nodes855K<br>edges≈66M | LogL.<br>AIC<br>RSS | 5.66194e+06<br>1.13239e+07<br>1.81230e+03 | 5.23512e+06<br>1.04702e+07<br>1.65956e+01 | 5.17802e+06<br>1.03560e+07<br>1.87038e+00 | 5.12808e+06<br>1.02561e+07<br>5.88628e-01 | 5.13177e+06<br>1.02635e+07<br>7.90849e-01 |","| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| --- | --- | --- | --- |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| Problemsize | T1 | T8 | T16 | T32 | T64 | T128 | T256 | T512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 2,918 | 0,364 | 0,182 | 0,091 | 0,046 | 0,023 | 0,0064 | 0,0047 |\n| 983040 | 178,132 | 22,240 | 11,120 | 5,659 | 2,779 | 1,388 | 0,698 | 0,345 |\n| 1966080 | 708,634 | 88,522 | 44,262 | 23,137 | 11,063 | 5,5308 | 2,554 | 1,385 |","| 3932160 | 2831,905 | 318,146 | 176,702 | 88,353 | 44,175 | 22,079 | 10,240 | 5,517 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7864320 | 11337,77 | 1416,032 | 812,677 | 353,901 | 176,960 | 88,462 | 38,918 | 21,949 |\n| 15728640 | 45318,33 | 5660,593 | 2830,199 | 1624,234 | 707,452 | 353,600 | 176,745 | 88,342 |\n| 31457280 | 181417,6 | 22653,32 | 11325,1 | 5661,966 | 3249,23 | 1414,826 | 706,802 | 353,248 |",1]
["| Problemsize | T1 | T8 | T16 | T32 | T64 | T128 | T256 | T512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 2,918 | 0,364 | 0,182 | 0,091 | 0,046 | 0,023 | 0,0064 | 0,0047 |\n| 983040 | 178,132 | 22,240 | 11,120 | 5,659 | 2,779 | 1,388 | 0,698 | 0,345 |\n| 1966080 | 708,634 | 88,522 | 44,262 | 23,137 | 11,063 | 5,5308 | 2,554 | 1,385 |","| Problemsize | S8 | S16 | S32 | S64 | S128 | S256 | S512 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 7,946 | 15,744 | 31,297 | 61,302 | 117,931 | 70,688 | 0,0047 |\n| 983040 | 7,948 | 15,822 | 31,431 | 62,546 | 122,945 | 240,221 | 408,803 |\n| 1966080 | 7,972 | 15,868 | 31,232 | 62,909 | 125,105 | 81,220 | 483,412 |\n| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 |\n| 7864320 | 7,982 | 15,837 | 31,672 | 62,941 | 125,793 | 118,578 | 475,919 |\n| 15728640 | 7,913 | 15,808 | 31,536 | 63,008 | 125,728 | 250,092 | 498,543 |\n| 31457280 | 7,930 | 15,883 | 31,582 | 55,060 | 125,540 | 125,300 | 499,833 |",0]
["| Problemsize | T1 | T8 | T16 | T32 | T64 | T128 | T256 | T512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 2,918 | 0,364 | 0,182 | 0,091 | 0,046 | 0,023 | 0,0064 | 0,0047 |\n| 983040 | 178,132 | 22,240 | 11,120 | 5,659 | 2,779 | 1,388 | 0,698 | 0,345 |","| 1966080 | 708,634 | 88,522 | 44,262 | 23,137 | 11,063 | 5,5308 | 2,554 | 1,385 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3932160 | 2831,905 | 318,146 | 176,702 | 88,353 | 44,175 | 22,079 | 10,240 | 5,517 |\n| 7864320 | 11337,77 | 1416,032 | 812,677 | 353,901 | 176,960 | 88,462 | 38,918 | 21,949 |\n| 15728640 | 45318,33 | 5660,593 | 2830,199 | 1624,234 | 707,452 | 353,600 | 176,745 | 88,342 |\n| 31457280 | 181417,6 | 22653,32 | 11325,1 | 5661,966 | 3249,23 | 1414,826 | 706,802 | 353,248 |",1]
["| Problemsize | T1 | T8 | T16 | T32 | T64 | T128 | T256 | T512 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 122880 | 2,918 | 0,364 | 0,182 | 0,091 | 0,046 | 0,023 | 0,0064 | 0,0047 |\n| 983040 | 178,132 | 22,240 | 11,120 | 5,659 | 2,779 | 1,388 | 0,698 | 0,345 |","| 3932160 | 7,958 | 15,843 | 31,630 | 63,024 | 125,784 | 100,921 | 495,631 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 7864320 | 7,982 | 15,837 | 31,672 | 62,941 | 125,793 | 118,578 | 475,919 |\n| 15728640 | 7,913 | 15,808 | 31,536 | 63,008 | 125,728 | 250,092 | 498,543 |\n| 31457280 | 7,930 | 15,883 | 31,582 | 55,060 | 125,540 | 125,300 | 499,833 |",0]
["| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| GIST1 | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |","| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |\n| --- | --- | --- | --- |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |",1]
["| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| GIST1 | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |","| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| dataset | algorithms | indexsize |\n| --- | --- | --- |\n| tree(hashtable) | graph | all |","| SIFT1M | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| --- | --- | --- | --- | --- |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| GIST1 | ﬂann(4-tree) | 261.2MB | 0 | 261.2MB |\n| Efanna(4-tree,40-NN) | 76.6MB | 182.8MB | 259.4MB |  |\n| GNNS(60-NN) | 0 | 266.7MB | 266.7MB |  |\n| IEH-ITQ(32bit,40-NN) | 82.7MB | 182.8MB | 265.5MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",1]
["| dataset | algorithms | indexsize |\n| --- | --- | --- |\n| tree(hashtable) | graph | all |","| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |\n| --- | --- | --- | --- |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |",0]
["| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |","| Permutation | Θ(n) | NP-c | open |  |\n| --- | --- | --- | --- | --- |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",1]
["| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |","| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |","| Permutation | Θ(n) | NP-c | open |  |\n| --- | --- | --- | --- | --- |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",1]
["| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |","| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| --- | --- | --- | --- | --- |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |","| 8 | 8.24×10 | 200 | 1.81 |\n| --- | --- | --- | --- |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",1]
["| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |","| n | n/2<br>2 | m | 12<br>m<br>m!2n | m<br>2 |\n| --- | --- | --- | --- | --- |\n| 100 | 1.12×10 | 6 | 7.49×10 | 1.08×10 |\n| 150 | 3.77×10 | 7 | 1.84×10 | 7.96×10 |\n| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |\n| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |\n| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 |\n| 310 | 4.56×10 | 10 | 6.13×10 | 4.61×10 |\n| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |\n| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |\n| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |\n| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |\n| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |\n| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 |",0]
["| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |","| 20 | 1.84×10 | 500 | 5.14 |\n| --- | --- | --- | --- |\n| 25 | 2.38×10 | 1,000 | 11.31 |",1]
["| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |","| 200 | 1.26×10 | 8 | 5.54×10 | 1.12×10 |\n| --- | --- | --- | --- | --- |\n| 250 | 4.25×10 | 9 | 4.97×10 | 5.29×10 |\n| 300 | 1.42×10 | 10 | 2.07×10 | 1.15×10 |\n| 310 | 4.56×10 | 10 | 6.13×10 | 4.61×10 |\n| 350 | 4.78×10 | 10 | 4.21×10 | 1.18×10 |\n| 400 | 1.60×10 | 11 | 5.92×10 | 7.81×10 |\n| 409 | 3.63×10 | 11 | 1.36×10 | 2.43×10 |\n| 450 | 5.39×10 | 11 | 5.68×10 | 4.26×10 |\n| 500 | 1.80×10 | 12 | 4.08×10 | 1.21×10 |\n| 571 | 8.79×10 | 12 | 1.21×10 | 4.44×10 |",0]
["| Method | Randomsampling | Noatlas | Finalmethod |\n| --- | --- | --- | --- |\n| Tha.L | 0.860±0.013 | 0.911±0.024 | 0.921±0.017 |\n| Tha.R | 0.862±0.014 | 0.917±0.017 | 0.920±0.016 |\n| Cau.L | 0.831±0.067 | 0.880±0.103 | 0.894±0.071 |\n| Cau.R | 0.834±0.048 | 0.864±0.131 | 0.892±0.057 |\n| Put.L | 0.871±0.024 | 0.900±0.073 | 0.916±0.023 |\n| Put.R | 0.872±0.027 | 0.913±0.029 | 0.914±0.031 |\n| Pal.L | 0.784±0.040 | 0.852±0.086 | 0.843±0.101 |\n| Pal.R | 0.775±0.057 | 0.833±0.099 | 0.861±0.049 |\n| Hip.L | 0.778±0.034 | 0.871±0.019 | 0.876±0.020 |","| Hip.R | 0.770±0.026 | 0.876±0.018 | 0.879±0.020 |\n| --- | --- | --- | --- |\n| Amy.L | 0.709±0.025 | 0.824±0.037 | 0.833±0.032 |\n| Amy.R | 0.716±0.054 | 0.819±0.035 | 0.821±0.027 |\n| Acc.L | 0.744±0.060 | 0.796±0.052 | 0.799±0.052 |\n| Acc.R | 0.689±0.091 | 0.753±0.106 | 0.791±0.067 |\n| Avg. | 0.792±0.076 | 0.858±0.083 | 0.869±0.064 |",1]
["| Method | Randomsampling | Noatlas | Finalmethod |\n| --- | --- | --- | --- |\n| Tha.L | 0.860±0.013 | 0.911±0.024 | 0.921±0.017 |\n| Tha.R | 0.862±0.014 | 0.917±0.017 | 0.920±0.016 |\n| Cau.L | 0.831±0.067 | 0.880±0.103 | 0.894±0.071 |\n| Cau.R | 0.834±0.048 | 0.864±0.131 | 0.892±0.057 |\n| Put.L | 0.871±0.024 | 0.900±0.073 | 0.916±0.023 |\n| Put.R | 0.872±0.027 | 0.913±0.029 | 0.914±0.031 |\n| Pal.L | 0.784±0.040 | 0.852±0.086 | 0.843±0.101 |\n| Pal.R | 0.775±0.057 | 0.833±0.099 | 0.861±0.049 |\n| Hip.L | 0.778±0.034 | 0.871±0.019 | 0.876±0.020 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |\n| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["| Method | Randomsampling | Noatlas | Finalmethod |\n| --- | --- | --- | --- |\n| Tha.L | 0.860±0.013 | 0.911±0.024 | 0.921±0.017 |\n| Tha.R | 0.862±0.014 | 0.917±0.017 | 0.920±0.016 |\n| Cau.L | 0.831±0.067 | 0.880±0.103 | 0.894±0.071 |\n| Cau.R | 0.834±0.048 | 0.864±0.131 | 0.892±0.057 |","| Put.L | 0.871±0.024 | 0.900±0.073 | 0.916±0.023 |\n| --- | --- | --- | --- |\n| Put.R | 0.872±0.027 | 0.913±0.029 | 0.914±0.031 |\n| Pal.L | 0.784±0.040 | 0.852±0.086 | 0.843±0.101 |\n| Pal.R | 0.775±0.057 | 0.833±0.099 | 0.861±0.049 |\n| Hip.L | 0.778±0.034 | 0.871±0.019 | 0.876±0.020 |\n| Hip.R | 0.770±0.026 | 0.876±0.018 | 0.879±0.020 |\n| Amy.L | 0.709±0.025 | 0.824±0.037 | 0.833±0.032 |\n| Amy.R | 0.716±0.054 | 0.819±0.035 | 0.821±0.027 |\n| Acc.L | 0.744±0.060 | 0.796±0.052 | 0.799±0.052 |\n| Acc.R | 0.689±0.091 | 0.753±0.106 | 0.791±0.067 |\n| Avg. | 0.792±0.076 | 0.858±0.083 | 0.869±0.064 |",1]
["| Method | Randomsampling | Noatlas | Finalmethod |\n| --- | --- | --- | --- |\n| Tha.L | 0.860±0.013 | 0.911±0.024 | 0.921±0.017 |\n| Tha.R | 0.862±0.014 | 0.917±0.017 | 0.920±0.016 |\n| Cau.L | 0.831±0.067 | 0.880±0.103 | 0.894±0.071 |\n| Cau.R | 0.834±0.048 | 0.864±0.131 | 0.892±0.057 |","| SA | 15.3 | 50.1 | 56.9 |\n| --- | --- | --- | --- |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |\n| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",0]
["|  | Proposed<br>Methodology | 1<br>XPA | Speed-up<br>factor |\n| --- | --- | --- | --- |\n| Appli.1 | 1.25s | 2h25 | x6960 |\n| Appli.2 | 2s | 6h53 | x12390 |","| Appli.3 | 3.42s | 14h | x14736 |\n| --- | --- | --- | --- |\n| Appli.4 | 6.65s | 27h | x14616 |",1]
["|  | Proposed<br>Methodology | 1<br>XPA | Speed-up<br>factor |\n| --- | --- | --- | --- |\n| Appli.1 | 1.25s | 2h25 | x6960 |\n| Appli.2 | 2s | 6h53 | x12390 |","| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 6.136 | 6.140 | 1.000 |\n| 4 | 5.731 | 5.681 | 1.081 |\n| 8 | 5.809 | 5.806 | 1.058 |\n| 12 | 5.543 | 5.453 | 1.126 |\n| 16 | 5.509 | 5.418 | 1.133 |\n| 20 | 5.499 | 5.338 | 1.150 |\n| 24 | 5.624 | 5.477 | 1.121 |",0]
["|  | Proposed<br>Methodology | 1<br>XPA | Speed-up<br>factor |\n| --- | --- | --- | --- |\n| Appli.1 | 1.25s | 2h25 | x6960 |\n| Appli.2 | 2s | 6h53 | x12390 |","| Appli.3 | 3.42s | 14h | x14736 |\n| --- | --- | --- | --- |\n| Appli.4 | 6.65s | 27h | x14616 |",1]
["|  | Proposed<br>Methodology | 1<br>XPA | Speed-up<br>factor |\n| --- | --- | --- | --- |\n| Appli.1 | 1.25s | 2h25 | x6960 |\n| Appli.2 | 2s | 6h53 | x12390 |","| 4 | 5.731 | 5.681 | 1.081 |\n| --- | --- | --- | --- |\n| 8 | 5.809 | 5.806 | 1.058 |\n| 12 | 5.543 | 5.453 | 1.126 |\n| 16 | 5.509 | 5.418 | 1.133 |\n| 20 | 5.499 | 5.338 | 1.150 |\n| 24 | 5.624 | 5.477 | 1.121 |",0]
["| Student | Obtainedscore | FinalScore |\n| --- | --- | --- |\n| 1 | 1 | 50.32 |\n| 2 | 0 | 59.89 |\n| 3 | 0 | 61.63 |\n| 4 | 1 | 66.50 |\n| 5 | 1 | 67.54 |","| 6 | 0 | 67.92 |\n| --- | --- | --- |\n| 7 | 1 | 69.57 |\n| 8 | 0 | 83.16 |\n| 9 | 0 | 84.73 |",1]
["| Student | Obtainedscore | FinalScore |\n| --- | --- | --- |\n| 1 | 1 | 50.32 |\n| 2 | 0 | 59.89 |\n| 3 | 0 | 61.63 |\n| 4 | 1 | 66.50 |\n| 5 | 1 | 67.54 |","| Student | Obtainedscore | NormalizedFinalScore |\n| --- | --- | --- |\n| 1 | 0.5 | 36.67 |\n| 2 | 1 | 43.65 |\n| 3 | 1 | 44.92 |\n| 4 | 0.75 | 48.46 |\n| 5 | 1 | 49.23 |\n| 6 | 0.75 | 49.50 |\n| 7 | 0 | 50.70 |\n| 8 | 0 | 60.61 |\n| 9 | 0 | 61.75 |",0]
["| Student | Obtainedscore | FinalScore |\n| --- | --- | --- |\n| 1 | 1 | 50.32 |\n| 2 | 0 | 59.89 |\n| 3 | 0 | 61.63 |\n| 4 | 1 | 66.50 |\n| 5 | 1 | 67.54 |","| 6 | 0 | 67.92 |\n| --- | --- | --- |\n| 7 | 1 | 69.57 |\n| 8 | 0 | 83.16 |\n| 9 | 0 | 84.73 |",1]
["| Student | Obtainedscore | FinalScore |\n| --- | --- | --- |\n| 1 | 1 | 50.32 |\n| 2 | 0 | 59.89 |\n| 3 | 0 | 61.63 |\n| 4 | 1 | 66.50 |\n| 5 | 1 | 67.54 |","| 4 | 0.75 | 48.46 |\n| --- | --- | --- |\n| 5 | 1 | 49.23 |\n| 6 | 0.75 | 49.50 |\n| 7 | 0 | 50.70 |\n| 8 | 0 | 60.61 |\n| 9 | 0 | 61.75 |",0]
["| ProjectPhase | Task | MM-Template | BM | OM | PM | CM | CSM |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oﬀerphase | Oﬀerrequest | TenderModel | 0,5 | 0,1 | 0,1 | 0 | 0 |\n| Oﬀerphase | Oﬀerdelivery | OﬀerModel | 0,5 | 0,2 | 1 | 0,5 | 0 |","| Contractphase | Negotiation | NegotiationModel | 0,5 | 0,2 | 1 | 0,7 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Contractphase | Commissioning | ContractModel | 1 | 1 | 1 | 1 | 0 |\n| Executionphase | Scheduling | TenderModel | 1 | 1 | 1 | 1 | 0,7 |",1]
["| ProjectPhase | Task | MM-Template | BM | OM | PM | CM | CSM |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oﬀerphase | Oﬀerrequest | TenderModel | 0,5 | 0,1 | 0,1 | 0 | 0 |\n| Oﬀerphase | Oﬀerdelivery | OﬀerModel | 0,5 | 0,2 | 1 | 0,5 | 0 |","| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |\n| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |\n| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| ProjectPhase | Task | MM-Template | BM | OM | PM | CM | CSM |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oﬀerphase | Oﬀerrequest | TenderModel | 0,5 | 0,1 | 0,1 | 0 | 0 |\n| Oﬀerphase | Oﬀerdelivery | OﬀerModel | 0,5 | 0,2 | 1 | 0,5 | 0 |\n| Contractphase | Negotiation | NegotiationModel | 0,5 | 0,2 | 1 | 0,7 | 0 |","| Contractphase | Commissioning | ContractModel | 1 | 1 | 1 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Executionphase | Scheduling | TenderModel | 1 | 1 | 1 | 1 | 0,7 |",1]
["| ProjectPhase | Task | MM-Template | BM | OM | PM | CM | CSM |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Oﬀerphase | Oﬀerrequest | TenderModel | 0,5 | 0,1 | 0,1 | 0 | 0 |\n| Oﬀerphase | Oﬀerdelivery | OﬀerModel | 0,5 | 0,2 | 1 | 0,5 | 0 |\n| Contractphase | Negotiation | NegotiationModel | 0,5 | 0,2 | 1 | 0,7 | 0 |","| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 34 | 35 | 42 | 32 | 10 | 12 |\n| Solver2 | 32 | 24 | 44 | 33 | 13 | 15 |\n| Solver3 | 33 | 36 | 30 | 12 | 10 | 17 |\n| Solver4 | 36 | 32 | 46 | 32 | 12 | 13 |","| Solver5 | 37 | 30 | 43 | 29 | 9 | 4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver6 | 68 | 29 | 41 | 55 | 10 | 5 |\n| Solver7 | 36 | 30 | 43 | 58 | 10 | 4 |",1]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 34 | 35 | 42 | 32 | 10 | 12 |\n| Solver2 | 32 | 24 | 44 | 33 | 13 | 15 |\n| Solver3 | 33 | 36 | 30 | 12 | 10 | 17 |\n| Solver4 | 36 | 32 | 46 | 32 | 12 | 13 |","| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 3 | 6 | 3 | 3.5 | 3.5 | 4 |\n| Solver2 | 1 | 1 | 6 | 5 | 7 | 6 |\n| Solver3 | 2 | 7 | 1 | 1 | 3.5 | 7 |\n| Solver4 | 4.5 | 5 | 7 | 3.5 | 6 | 5 |\n| Solver5 | 6 | 3.5 | 4.5 | 2 | 1 | 1.5 |\n| Solver6 | 7 | 2 | 2 | 6 | 3.5 | 3 |\n| Solver7 | 4.5 | 3.5 | 4.5 | 7 | 3.5 | 1.5 |",0]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 34 | 35 | 42 | 32 | 10 | 12 |","| Solver2 | 32 | 24 | 44 | 33 | 13 | 15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver3 | 33 | 36 | 30 | 12 | 10 | 17 |\n| Solver4 | 36 | 32 | 46 | 32 | 12 | 13 |\n| Solver5 | 37 | 30 | 43 | 29 | 9 | 4 |\n| Solver6 | 68 | 29 | 41 | 55 | 10 | 5 |\n| Solver7 | 36 | 30 | 43 | 58 | 10 | 4 |",1]
["| Instance | 1 | 2 | 3 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver1 | 34 | 35 | 42 | 32 | 10 | 12 |","| Solver2 | 1 | 1 | 6 | 5 | 7 | 6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Solver3 | 2 | 7 | 1 | 1 | 3.5 | 7 |\n| Solver4 | 4.5 | 5 | 7 | 3.5 | 6 | 5 |\n| Solver5 | 6 | 3.5 | 4.5 | 2 | 1 | 1.5 |\n| Solver6 | 7 | 2 | 2 | 6 | 3.5 | 3 |\n| Solver7 | 4.5 | 3.5 | 4.5 | 7 | 3.5 | 1.5 |",0]
["| (3,9) | (4,16) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NE | OSE | ASE | NE | OSE | ASE | NE | OSE |\n| 0 | 0 | 0 | 5 | 2 | 0 | 9 | 7 |","| 78 | 58 | 0 | 310 | 251 | 0 | 386 | 323 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 23 | 25 | 0 | 115 | 122 | 0 | 200 | 203 |\n| 0 | 0 | 6 | 0 | 0 | 39 | 0 | 0 |",1]
["| (3,9) | (4,16) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NE | OSE | ASE | NE | OSE | ASE | NE | OSE |\n| 0 | 0 | 0 | 5 | 2 | 0 | 9 | 7 |","| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |\n| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| (3,9) | (4,16) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NE | OSE | ASE | NE | OSE | ASE | NE | OSE |\n| 0 | 0 | 0 | 5 | 2 | 0 | 9 | 7 |\n| 78 | 58 | 0 | 310 | 251 | 0 | 386 | 323 |","| 23 | 25 | 0 | 115 | 122 | 0 | 200 | 203 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 6 | 0 | 0 | 39 | 0 | 0 |",1]
["| (3,9) | (4,16) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NE | OSE | ASE | NE | OSE | ASE | NE | OSE |\n| 0 | 0 | 0 | 5 | 2 | 0 | 9 | 7 |\n| 78 | 58 | 0 | 310 | 251 | 0 | 386 | 323 |","| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["|  | Predicted |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  | 0 | 1 | 2 |","| Actual | 0 | 889 | 429 | 868 |\n| --- | --- | --- | --- | --- |\n| 1 | 41 | 110 | 4 |  |\n| 2 | 21 | 0 | 139 |  |",1]
["|  | Predicted |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  | 0 | 1 | 2 |","| #Predicted |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",0]
["|  | Predicted |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  | 0 | 1 | 2 |\n| Actual | 0 | 889 | 429 | 868 |","| 1 | 41 | 110 | 4 |\n| --- | --- | --- | --- |\n| 2 | 21 | 0 | 139 |",1]
["|  | Predicted |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  | 0 | 1 | 2 |\n| Actual | 0 | 889 | 429 | 868 |","| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",0]
["| Name | #clusters | #length | #size | Epear<br>minmax | Erandom<br>minmax |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SyntheticControl | 6 | 60 | 300 | 0,32 | 0,36 | 0,41 | 0,62 |\n| GunPoint | 2 | 150 | 50 | 0,0 | 0,0 | 0,0 | 0,59 |\n| CBF | 3 | 128 | 30 | 0,0 | 0,0 | 0,30 | 0,85 |\n| Face(All) | 14 | 131 | 560 | 0,03 | 0,16 | 1,12 | 1,53 |\n| OSULeaf | 6 | 427 | 200 | 0,06 | 0,26 | 0,93 | 1,25 |\n| SwedishLeaf | 15 | 128 | 500 | 0,0 | 0,03 | 0,83 | 1,09 |\n| 50Words | 50 | 270 | 450 | 0,0 | 0,05 | 1,17 | 1,27 |\n| Trace | 4 | 275 | 100 | 0,0 | 0,0 | 0,50 | 0,67 |\n| TwoPatterns | 4 | 128 | 1000 | 0,03 | 0,11 | 0,86 | 1,41 |\n| Wafer | 2 | 152 | 1000 | 0,0 | 0,0 | 0,0 | 0,0 |\n| Face(Four) | 4 | 350 | 24 | 0,0 | 0,0 | 0,62 | 1,19 |","| Lightning-2 | 2 | 637 | 60 | 0,0 | 0,0 | 0,0 | 0,71 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Lightning-7 | 7 | 319 | 70 | 0,0 | 0,07 | 0,35 | 0,99 |\n| ECG | 2 | 96 | 100 | 0,0 | 0,0 | 0,0 | 0,55 |\n| Adiac | 37 | 176 | 390 | 0,0 | 0,0 | 0,89 | 1,23 |\n| Yoga | 2 | 426 | 399 | 0,0 | 0,0 | 0,0 | 0,76 |",1]
["| Name | #clusters | #length | #size | Epear<br>minmax | Erandom<br>minmax |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SyntheticControl | 6 | 60 | 300 | 0,32 | 0,36 | 0,41 | 0,62 |\n| GunPoint | 2 | 150 | 50 | 0,0 | 0,0 | 0,0 | 0,59 |\n| CBF | 3 | 128 | 30 | 0,0 | 0,0 | 0,30 | 0,85 |\n| Face(All) | 14 | 131 | 560 | 0,03 | 0,16 | 1,12 | 1,53 |\n| OSULeaf | 6 | 427 | 200 | 0,06 | 0,26 | 0,93 | 1,25 |\n| SwedishLeaf | 15 | 128 | 500 | 0,0 | 0,03 | 0,83 | 1,09 |\n| 50Words | 50 | 270 | 450 | 0,0 | 0,05 | 1,17 | 1,27 |\n| Trace | 4 | 275 | 100 | 0,0 | 0,0 | 0,50 | 0,67 |\n| TwoPatterns | 4 | 128 | 1000 | 0,03 | 0,11 | 0,86 | 1,41 |\n| Wafer | 2 | 152 | 1000 | 0,0 | 0,0 | 0,0 | 0,0 |\n| Face(Four) | 4 | 350 | 24 | 0,0 | 0,0 | 0,62 | 1,19 |","| Dataset | Method | 0.9 | 0.8 | 0.7 | 0.6 | 0.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gavin | MDS | 6 | 60 | 169 | 384 | 644 |\n|  | Diverse | 3 | 19 | 111 | 373 | 622 |\n|  | ClusterONE | 0 | 17 | 107 | 304 | 585 |\n| KroganCore | MDS | 573 | 701 | 814 | 1070 | 1443 |\n|  | Diverse | 483 | 626 | 739 | 918 | 1061 |\n|  | ClusterONE | 349 | 496 | 652 | 833 | 1048 |\n| Kroganextended | MDS | 572 | 691 | 837 | 1097 | 1487 |\n|  | Diverse | 491 | 626 | 754 | 934 | 1078 |\n|  | ClusterONE | 354 | 495 | 658 | 870 | 1064 |\n| Collins | MDS | 750 | 901 | 1005 | 1086 | 1210 |\n| (cov/k:5) | Diverse | 702 | 846 | 963 | 1058 | 1138 |\n|  | ClusterONE | 629 | 809 | 915 | 1019 | 1147 |\n| BioGRID | MDS | 2689 | 2951 | 3181 | 3593 | 3788 |\n|  | Diverse | 2335 | 2623 | 2827 | 3194 | 3367 |\n|  | ClusterONE | 1151 | 1580 | 1776 | 2580 | 4418 |\n| String | MDS | 2321 | 3422 | 4523 | 5867 | 7841 |\n|  | Diverse | 2063 | 3042 | 4021 | 5215 | 6970 |\n|  | ClusterONE | 970 | 1642 | 2381 | 3580 | 5618 |",0]
["| Name | #clusters | #length | #size | Epear<br>minmax | Erandom<br>minmax |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SyntheticControl | 6 | 60 | 300 | 0,32 | 0,36 | 0,41 | 0,62 |\n| GunPoint | 2 | 150 | 50 | 0,0 | 0,0 | 0,0 | 0,59 |\n| CBF | 3 | 128 | 30 | 0,0 | 0,0 | 0,30 | 0,85 |\n| Face(All) | 14 | 131 | 560 | 0,03 | 0,16 | 1,12 | 1,53 |","| OSULeaf | 6 | 427 | 200 | 0,06 | 0,26 | 0,93 | 1,25 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SwedishLeaf | 15 | 128 | 500 | 0,0 | 0,03 | 0,83 | 1,09 |\n| 50Words | 50 | 270 | 450 | 0,0 | 0,05 | 1,17 | 1,27 |\n| Trace | 4 | 275 | 100 | 0,0 | 0,0 | 0,50 | 0,67 |\n| TwoPatterns | 4 | 128 | 1000 | 0,03 | 0,11 | 0,86 | 1,41 |\n| Wafer | 2 | 152 | 1000 | 0,0 | 0,0 | 0,0 | 0,0 |\n| Face(Four) | 4 | 350 | 24 | 0,0 | 0,0 | 0,62 | 1,19 |\n| Lightning-2 | 2 | 637 | 60 | 0,0 | 0,0 | 0,0 | 0,71 |\n| Lightning-7 | 7 | 319 | 70 | 0,0 | 0,07 | 0,35 | 0,99 |\n| ECG | 2 | 96 | 100 | 0,0 | 0,0 | 0,0 | 0,55 |\n| Adiac | 37 | 176 | 390 | 0,0 | 0,0 | 0,89 | 1,23 |\n| Yoga | 2 | 426 | 399 | 0,0 | 0,0 | 0,0 | 0,76 |",1]
["| Name | #clusters | #length | #size | Epear<br>minmax | Erandom<br>minmax |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SyntheticControl | 6 | 60 | 300 | 0,32 | 0,36 | 0,41 | 0,62 |\n| GunPoint | 2 | 150 | 50 | 0,0 | 0,0 | 0,0 | 0,59 |\n| CBF | 3 | 128 | 30 | 0,0 | 0,0 | 0,30 | 0,85 |\n| Face(All) | 14 | 131 | 560 | 0,03 | 0,16 | 1,12 | 1,53 |","| Kroganextended | MDS | 572 | 691 | 837 | 1097 | 1487 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Diverse | 491 | 626 | 754 | 934 | 1078 |\n|  | ClusterONE | 354 | 495 | 658 | 870 | 1064 |\n| Collins | MDS | 750 | 901 | 1005 | 1086 | 1210 |\n| (cov/k:5) | Diverse | 702 | 846 | 963 | 1058 | 1138 |\n|  | ClusterONE | 629 | 809 | 915 | 1019 | 1147 |\n| BioGRID | MDS | 2689 | 2951 | 3181 | 3593 | 3788 |\n|  | Diverse | 2335 | 2623 | 2827 | 3194 | 3367 |\n|  | ClusterONE | 1151 | 1580 | 1776 | 2580 | 4418 |\n| String | MDS | 2321 | 3422 | 4523 | 5867 | 7841 |\n|  | Diverse | 2063 | 3042 | 4021 | 5215 | 6970 |\n|  | ClusterONE | 970 | 1642 | 2381 | 3580 | 5618 |",0]
["| Model | TripAdvisorData | OpenTableData |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| OrdinalAspectBias | -557.08 | 1.00 | -493.79 | 1.03 |\n| ContinuousAspectBias | -1050.32 | 3.13 | -560.14 | 2.21 |\n| OrdinalNoBias | -689.76 | 1.47 | -546.25 | 1.95 |\n| ContinuousNoBias | -1904.64 | 3.52 | -651.16 | 2.39 |","| OrdinalGlobalBias | -2438.52 | 2.85 | -570.28 | 2.37 |\n| --- | --- | --- | --- | --- |\n| ContinuousGlobalBias | -2632.95 | 3.91 | -595.62 | 2.41 |",1]
["| Model | TripAdvisorData | OpenTableData |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| OrdinalAspectBias | -557.08 | 1.00 | -493.79 | 1.03 |\n| ContinuousAspectBias | -1050.32 | 3.13 | -560.14 | 2.21 |\n| OrdinalNoBias | -689.76 | 1.47 | -546.25 | 1.95 |\n| ContinuousNoBias | -1904.64 | 3.52 | -651.16 | 2.39 |","| Cross-subject |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |\n| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |\n| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |\n| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |\n| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |\n| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |\n| 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |\n| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |\n| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 |",0]
["| Model | TripAdvisorData | OpenTableData |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| OrdinalAspectBias | -557.08 | 1.00 | -493.79 | 1.03 |\n| --- | --- | --- | --- | --- |\n| ContinuousAspectBias | -1050.32 | 3.13 | -560.14 | 2.21 |\n| OrdinalNoBias | -689.76 | 1.47 | -546.25 | 1.95 |\n| ContinuousNoBias | -1904.64 | 3.52 | -651.16 | 2.39 |\n| OrdinalGlobalBias | -2438.52 | 2.85 | -570.28 | 2.37 |\n| ContinuousGlobalBias | -2632.95 | 3.91 | -595.62 | 2.41 |",1]
["| Model | TripAdvisorData | OpenTableData |  |\n| --- | --- | --- | --- |\n|  |  |  |  |","| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |\n| 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |\n| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |\n| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 |",0]
["| FoveatedFeatureCongestionvsHitRatecorrelation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.80±0.04<br>−0.79±0.05<br>−0.80±0.04 | −0.82±0.04<br>−0.79±0.06<br>−0.82±0.04 | −0.81±0.05<br>−0.77±0.06<br>−0.82±0.04 | −0.79±0.05<br>−0.75±0.07<br>−0.81±0.05 | −0.76±0.06<br>−0.71±0.07<br>−0.77±0.06 |\n| FoveatedEdgeDensityvsHitRatecorrelation |  |  |  |  |  |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |","| L1-norm<br>L2-norm<br>KL-divergence | −0.76±0.06<br>−0.72±0.07<br>−0.76±0.06 | −0.73±0.07<br>−0.66±0.08<br>−0.76±0.06 | −0.69±0.08<br>−0.62±0.09<br>−0.73±0.07 | −0.65±0.09<br>−0.56±0.10<br>−0.69±0.08 | −0.59±0.09<br>−0.50±0.11<br>−0.63±0.08 |\n| --- | --- | --- | --- | --- | --- |\n| FoveatedSubbandEntropyvsHitRatecorrelation |  |  |  |  |  |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.75±0.04<br>−0.74±0.05<br>−0.79±0.04 | −0.77±0.04<br>−0.76±0.05<br>−0.83±0.04 | −0.77±0.05<br>−0.76±0.05<br>−0.84±0.04 | −0.76±0.05<br>−0.75±0.06<br>−0.83±0.04 | −0.73±0.06<br>−0.71±0.06<br>−0.80±0.05 |\n| FoveatedProtoObjectSegmentationvsHitRatecorrelation |  |  |  |  |  |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.70±0.06<br>−0.74±0.04<br>−0.66±0.06 | −0.74±0.06<br>−0.76±0.05<br>−0.71±0.05 | −0.74±0.06<br>−0.76±0.05<br>−0.68±0.06 | −0.72±0.06<br>−0.76±0.06<br>−0.61±0.07 | −0.66±0.07<br>−0.72±0.06<br>−0.54±0.08 |",1]
["| FoveatedFeatureCongestionvsHitRatecorrelation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.80±0.04<br>−0.79±0.05<br>−0.80±0.04 | −0.82±0.04<br>−0.79±0.06<br>−0.82±0.04 | −0.81±0.05<br>−0.77±0.06<br>−0.82±0.04 | −0.79±0.05<br>−0.75±0.07<br>−0.81±0.05 | −0.76±0.06<br>−0.71±0.07<br>−0.77±0.06 |\n| FoveatedEdgeDensityvsHitRatecorrelation |  |  |  |  |  |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |","| weightfn | ptsnum | BeltramiEquation | generalizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| Example1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 8.127E-06<br>3.554E-06<br>1.728E-06<br>4.039E-06 | 9.158E-04<br>5.182E-04<br>1.379E-04<br>1.045E-04 | 6.658E-04<br>3.708E-04<br>1.632E-04<br>9.305E-05 | 1.610E-01<br>1.286E-01<br>6.291E-02<br>4.055E-02 |\n| Example2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.847E-04<br>1.596E-04<br>3.902E-05<br>1.444E-05 | 3.616E-03<br>2.694E-03<br>1.222E-03<br>1.038E-03 | 1.657E-03<br>1.453E-03<br>3.914E-04<br>2.588E-04 | 4.149E-01<br>4.143E-01<br>3.946E-01<br>3.929E-01 |\n| Example3 | 1047<br>1807<br>4132<br>7185 | 1.432E-05<br>9.558E-06<br>6.291E-06<br>4.240E-06 | 2.506E-05<br>1.325E-05<br>7.047E-06<br>5.386E-06 | 2.056E-05<br>1.092E-05<br>5.152E-06<br>3.024E-06 | 3.822E-01<br>3.267E-01<br>3.651E-01<br>3.597E-01 |",0]
["| FoveatedFeatureCongestionvsHitRatecorrelation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.80±0.04<br>−0.79±0.05<br>−0.80±0.04 | −0.82±0.04<br>−0.79±0.06<br>−0.82±0.04 | −0.81±0.05<br>−0.77±0.06<br>−0.82±0.04 | −0.79±0.05<br>−0.75±0.07<br>−0.81±0.05 | −0.76±0.06<br>−0.71±0.07<br>−0.77±0.06 |\n| FoveatedEdgeDensityvsHitRatecorrelation |  |  |  |  |  |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.76±0.06<br>−0.72±0.07<br>−0.76±0.06 | −0.73±0.07<br>−0.66±0.08<br>−0.76±0.06 | −0.69±0.08<br>−0.62±0.09<br>−0.73±0.07 | −0.65±0.09<br>−0.56±0.10<br>−0.69±0.08 | −0.59±0.09<br>−0.50±0.11<br>−0.63±0.08 |","| FoveatedSubbandEntropyvsHitRatecorrelation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.75±0.04<br>−0.74±0.05<br>−0.79±0.04 | −0.77±0.04<br>−0.76±0.05<br>−0.83±0.04 | −0.77±0.05<br>−0.76±0.05<br>−0.84±0.04 | −0.76±0.05<br>−0.75±0.06<br>−0.83±0.04 | −0.73±0.06<br>−0.71±0.06<br>−0.80±0.05 |\n| FoveatedProtoObjectSegmentationvsHitRatecorrelation |  |  |  |  |  |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.70±0.06<br>−0.74±0.04<br>−0.66±0.06 | −0.74±0.06<br>−0.76±0.05<br>−0.71±0.05 | −0.74±0.06<br>−0.76±0.05<br>−0.68±0.06 | −0.72±0.06<br>−0.76±0.06<br>−0.61±0.07 | −0.66±0.07<br>−0.72±0.06<br>−0.54±0.08 |",1]
["| FoveatedFeatureCongestionvsHitRatecorrelation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.80±0.04<br>−0.79±0.05<br>−0.80±0.04 | −0.82±0.04<br>−0.79±0.06<br>−0.82±0.04 | −0.81±0.05<br>−0.77±0.06<br>−0.82±0.04 | −0.79±0.05<br>−0.75±0.07<br>−0.81±0.05 | −0.76±0.06<br>−0.71±0.07<br>−0.77±0.06 |\n| FoveatedEdgeDensityvsHitRatecorrelation |  |  |  |  |  |\n| Distance | 4deg | 6deg | 8deg | 10deg | 12deg |\n| L1-norm<br>L2-norm<br>KL-divergence | −0.76±0.06<br>−0.72±0.07<br>−0.76±0.06 | −0.73±0.07<br>−0.66±0.08<br>−0.76±0.06 | −0.69±0.08<br>−0.62±0.09<br>−0.73±0.07 | −0.65±0.09<br>−0.56±0.10<br>−0.69±0.08 | −0.59±0.09<br>−0.50±0.11<br>−0.63±0.08 |","| Example2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.847E-04<br>1.596E-04<br>3.902E-05<br>1.444E-05 | 3.616E-03<br>2.694E-03<br>1.222E-03<br>1.038E-03 | 1.657E-03<br>1.453E-03<br>3.914E-04<br>2.588E-04 | 4.149E-01<br>4.143E-01<br>3.946E-01<br>3.929E-01 |\n| --- | --- | --- | --- | --- | --- |\n| Example3 | 1047<br>1807<br>4132<br>7185 | 1.432E-05<br>9.558E-06<br>6.291E-06<br>4.240E-06 | 2.506E-05<br>1.325E-05<br>7.047E-06<br>5.386E-06 | 2.056E-05<br>1.092E-05<br>5.152E-06<br>3.024E-06 | 3.822E-01<br>3.267E-01<br>3.651E-01<br>3.597E-01 |",0]
["|  |  |\n| --- | --- |\n|  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["|  |  |\n| --- | --- |\n|  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |",0]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |",0]
["| Nike–b1 | AdidasOriginals(AO)–b2 |\n| --- | --- |\n| LouisVuitton(LV)–b3 | DolceGabbana(DG)–b4 |\n| MichaelKors(MK)–b5 | Adidas–b6 |\n| Dior–b7 | LouboutinWorld(LW)–b8 |","| Gucci–b9 | Prada–b10 |\n| --- | --- |\n| Burberry(Brb)–b11 | Vans–b12 |\n| Fendi–b13 | Armani–b14 |\n| Converse–b15 | JimmyChoo(JC)–b16 |\n| FreePeople(FP)–b17 | CalvinKlein(CK)–b18 |\n| RalphLauren(RL)–b19 | Cartier–b20 |",1]
["| Nike–b1 | AdidasOriginals(AO)–b2 |\n| --- | --- |\n| LouisVuitton(LV)–b3 | DolceGabbana(DG)–b4 |\n| MichaelKors(MK)–b5 | Adidas–b6 |\n| Dior–b7 | LouboutinWorld(LW)–b8 |","| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28.6 | 32.9 | 32.8 | 33.9 | 47.1 | 40.4 | 0.5 | 15.0 | 9.5 |\n| 7.1 | 9.2 | 3.0 | 0.0 | 10.9 | 13.5 | 0.1 | 0.2 | 9.1 |\n| 14.1 | 4.7 | 9.1 | 0.4 | 18.3 | 22.9 | 3.0 | 0.2 | 4.0 |\n| 51.9 | 44.8 | 41.1 | 38.1 | 53.3 | 52.5 | 11.8 | 28.9 | 18.4 |\n| 52.7 | 39.9 | 49.7 | 36.5 | 48.4 | 62.7 | 14.8 | 29.8 | 18.6 |\n| 25.4 | 11.8 | 4.7 | 0.6 | 17.9 | 44.2 | 1.6 | 0.9 | 15.5 |",0]
["| Nike–b1 | AdidasOriginals(AO)–b2 |\n| --- | --- |\n| LouisVuitton(LV)–b3 | DolceGabbana(DG)–b4 |\n| MichaelKors(MK)–b5 | Adidas–b6 |\n| Dior–b7 | LouboutinWorld(LW)–b8 |\n| Gucci–b9 | Prada–b10 |","| Burberry(Brb)–b11 | Vans–b12 |\n| --- | --- |\n| Fendi–b13 | Armani–b14 |\n| Converse–b15 | JimmyChoo(JC)–b16 |\n| FreePeople(FP)–b17 | CalvinKlein(CK)–b18 |\n| RalphLauren(RL)–b19 | Cartier–b20 |",1]
["| Nike–b1 | AdidasOriginals(AO)–b2 |\n| --- | --- |\n| LouisVuitton(LV)–b3 | DolceGabbana(DG)–b4 |\n| MichaelKors(MK)–b5 | Adidas–b6 |\n| Dior–b7 | LouboutinWorld(LW)–b8 |\n| Gucci–b9 | Prada–b10 |","| 7.1 | 9.2 | 3.0 | 0.0 | 10.9 | 13.5 | 0.1 | 0.2 | 9.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 14.1 | 4.7 | 9.1 | 0.4 | 18.3 | 22.9 | 3.0 | 0.2 | 4.0 |\n| 51.9 | 44.8 | 41.1 | 38.1 | 53.3 | 52.5 | 11.8 | 28.9 | 18.4 |\n| 52.7 | 39.9 | 49.7 | 36.5 | 48.4 | 62.7 | 14.8 | 29.8 | 18.6 |\n| 25.4 | 11.8 | 4.7 | 0.6 | 17.9 | 44.2 | 1.6 | 0.9 | 15.5 |",0]
["| CR |\n| --- |\n| 81.01(80.73,81.28) |\n| 80.74(80.36,81.09) |\n| 80.69(79.72,81.32) |","| 81.13(80.16,81.76) |\n| --- |\n| 80.17(79.97,80.84) |",1]
["| CR |\n| --- |\n| 81.01(80.73,81.28) |\n| 80.74(80.36,81.09) |\n| 80.69(79.72,81.32) |","| 77.85(77.47,77.97) |\n| --- |\n| 80.48(80.26,80.65) |\n| 81.13(80.96,81.32) |\n| 81.65(81.45,81.85) |\n| 81.43(81.28,81.75) |\n| 81.26(81.01,81.43) |\n| 81.06(80.87,81.30) |\n| 80.91(80.73,81.10) |\n| 80.91(80.72,81.05) |",0]
["| CR |\n| --- |\n| 81.01(80.73,81.28) |\n| 80.74(80.36,81.09) |","| 80.69(79.72,81.32) |\n| --- |\n| 81.13(80.16,81.76) |\n| 80.17(79.97,80.84) |",1]
["| CR |\n| --- |\n| 81.01(80.73,81.28) |\n| 80.74(80.36,81.09) |","| 80.91(80.73,81.10) |\n| --- |\n| 80.91(80.72,81.05) |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.4323 | 0.271 | 0.3331 |","| Baselinesfrom |  |  |  |\n| --- | --- | --- | --- |\n| A | 0.8378 | 0.233 | 0.3648 |\n| B | 0.8973 | 0.107 | 0.1914 |\n| C | 0.1856 | 0.047 | 0.0747 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.4323 | 0.271 | 0.3331 |","| Algorithm | Recall |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Legible | Illegible |  |  |\n|  | Machine | Hand | Machine | Hand |\n| Proposed | 0.3563 | 0.3109 | 0.0297 | 0.0567 |\n| Baselinesfrom |  |  |  |  |\n| A | 0.3401 | 0.1511 | 0.0409 | 0.0231 |\n| B | 0.1616 | 0.1096 | 0.0069 | 0.0022 |\n| C | 0.0709 | 0.0463 | 0.0028 | 0.0022 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.4323 | 0.271 | 0.3331 |","| Baselinesfrom |  |  |  |\n| --- | --- | --- | --- |\n| A | 0.8378 | 0.233 | 0.3648 |\n| B | 0.8973 | 0.107 | 0.1914 |\n| C | 0.1856 | 0.047 | 0.0747 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.4323 | 0.271 | 0.3331 |","|  | Machine | Hand | Machine | Hand |\n| --- | --- | --- | --- | --- |\n| Proposed | 0.3563 | 0.3109 | 0.0297 | 0.0567 |\n| Baselinesfrom |  |  |  |  |\n| A | 0.3401 | 0.1511 | 0.0409 | 0.0231 |\n| B | 0.1616 | 0.1096 | 0.0069 | 0.0022 |\n| C | 0.0709 | 0.0463 | 0.0028 | 0.0022 |",0]
["| Name | Reviews | 5Star | 4Star | 3Star | 2Star | 1Star |\n| --- | --- | --- | --- | --- | --- | --- |\n| FoodInc. | 2462 | 1949 | 357 | 78 | 30 | 48 |\n| Boyhood | 2253 | 872 | 342 | 318 | 296 | 425 |","| FedUp | 1401 | 1069 | 185 | 82 | 29 | 36 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Blackﬁsh | 955 | 750 | 117 | 42 | 15 | 31 |\n| TheImitationGame | 829 | 577 | 158 | 54 | 14 | 26 |\n| Super-SizeMe | 670 | 324 | 152 | 71 | 41 | 82 |\n| InsideJob | 437 | 308 | 54 | 21 | 10 | 44 |\n| Citizenfour | 199 | 168 | 17 | 10 | 1 | 3 |",1]
["| Name | Reviews | 5Star | 4Star | 3Star | 2Star | 1Star |\n| --- | --- | --- | --- | --- | --- | --- |\n| FoodInc. | 2462 | 1949 | 357 | 78 | 30 | 48 |\n| Boyhood | 2253 | 872 | 342 | 318 | 296 | 425 |","| Year | Bottega<br>Veneta | Burberr<br>Prorsum | Dior<br>Homme | Emporio<br>Armani | Erme.<br>Zegna | Givench | Gucci | Hermes | John<br>Varva | Louis<br>Vuitt | Neil<br>Barret | Prad | Thom<br>Brow |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2008 | 78 | 80 | 51 | 187 | 0 | 38 | 87 | 87 | 46 | 109 | 70 | 83 | 103 |\n| 2009 | 54 | 87 | 79 | 202 | 58 | 57 | 89 | 46 | 36 | 94 | 70 | 89 | 111 |\n| 2010 | 79 | 78 | 80 | 155 | 62 | 55 | 89 | 80 | 49 | 104 | 67 | 74 | 81 |\n| 2011 | 74 | 83 | 75 | 157 | 103 | 70 | 85 | 43 | 81 | 98 | 71 | 79 | 83 |\n| 2012 | 74 | 79 | 79 | 148 | 81 | 79 | 73 | 83 | 70 | 79 | 73 | 84 | 86 |\n| 2013 | 86 | 85 | 79 | 135 | 73 | 57 | 79 | 66 | 65 | 79 | 68 | 76 | 79 |\n| 2014 | 88 | 85 | 82 | 192 | 79 | 100 | 75 | 81 | 71 | 83 | 76 | 73 | 82 |\n| 2015 | 82 | 85 | 80 | 150 | 80 | 104 | 72 | 72 | 75 | 76 | 76 | 65 | 81 |",0]
["| Name | Reviews | 5Star | 4Star | 3Star | 2Star | 1Star |\n| --- | --- | --- | --- | --- | --- | --- |\n| FoodInc. | 2462 | 1949 | 357 | 78 | 30 | 48 |","| Boyhood | 2253 | 872 | 342 | 318 | 296 | 425 |\n| --- | --- | --- | --- | --- | --- | --- |\n| FedUp | 1401 | 1069 | 185 | 82 | 29 | 36 |\n| Blackﬁsh | 955 | 750 | 117 | 42 | 15 | 31 |\n| TheImitationGame | 829 | 577 | 158 | 54 | 14 | 26 |\n| Super-SizeMe | 670 | 324 | 152 | 71 | 41 | 82 |\n| InsideJob | 437 | 308 | 54 | 21 | 10 | 44 |\n| Citizenfour | 199 | 168 | 17 | 10 | 1 | 3 |",1]
["| Name | Reviews | 5Star | 4Star | 3Star | 2Star | 1Star |\n| --- | --- | --- | --- | --- | --- | --- |\n| FoodInc. | 2462 | 1949 | 357 | 78 | 30 | 48 |","| 2014 | 88 | 85 | 82 | 192 | 79 | 100 | 75 | 81 | 71 | 83 | 76 | 73 | 82 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2015 | 82 | 85 | 80 | 150 | 80 | 104 | 72 | 72 | 75 | 76 | 76 | 65 | 81 |",0]
["| InputCycle(s) | πorπCircuit<br>Int.TermsMax.CostStaticGates |  |  |\n| --- | --- | --- | --- |\n| (a,b)12 | (0...10...0)<br>(0...11...0) | nN<br>n(1,n-1)C | -<br>- |\n| (a,b)12<br>(c,d)34 | (0...1000...0)<br>(0...1001...0)<br>(0...1010...0)<br>(0...1111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−1,k;k+1) |\n| (a,b,c)123 | (0...001...0)<br>(0...101...0)<br>(0...111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>- |\n| (a,b,c)123<br>(d,e,f)456 | (0...00001...0)<br>(0...00011...0)<br>(0...00111...0)<br>(0...10001...0)<br>(0...11011...0)<br>(0...11111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C<br>1T,n-1C<br>1T,n-1C | -<br>-<br>-<br>-<br>T(k−1,k+2;k+1)<br>T(k,k+2;k+1) |\n| (a,b,c,d)1234 | (0...1000...0)<br>(0...1001...0)<br>(0...1010...0)<br>(0...1111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−1,k;k+1) |","| (a,b,c,d)1234<br>(e,f)56 | (0...10000...0)<br>(0...10010...0)<br>(0...10100...0)<br>(0...11110...0)<br>(0...10111...0)<br>(0...11011...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C | -<br>-<br>-<br>T(k−1,k;k+1)<br>-<br>(cid:48)<br>T(k−2,k;k+1) |\n| --- | --- | --- | --- |\n| (a,b,c,d)1234<br>(e,f,g,h)5678 | (0...10000...0)<br>(0...10001...0)<br>(0...10010...0)<br>(0...10111...0)<br>(0...10100...0)<br>(0...11101...0)<br>(0...11110...0)<br>(0...11111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C<br>1T,n-1C<br>n(1,n-1)C | -<br>-<br>-<br>-<br>T(k−2,k−1;k)<br>T(k−2,k;k+1)<br>T(k−1,k;k+1)<br>T(k−2,k−1,k;k+1) |\n| (a,b,c,d,e)14235 | (0...10000...0)<br>(0...10001...0)<br>(0...10010...0)<br>(0...11011...0)<br>(0...10111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−2,k−1;k+1)<br>- |\n| (a,b,c,d,e)142310<br>(f,g,h,i,j)58679 | (0...100000...0)<br>(0...100001...0)<br>(0...100010...0)<br>(0...100111...0)<br>(0...101000...0)<br>(0...111001...0)<br>(0...111010...0)<br>(0...111011...0)<br>(0...101111...0)<br>(0...110111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C<br>1T,n-1C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C | -<br>-<br>T(k−3,k−2;k−1)<br>-<br>T(k−3,k;k+1)<br>T(k−2,k;k+1)<br>T(k−2,k−1,k;k+1)<br>-<br>(cid:48)<br>T(k−1,k;k+1) |",1]
["| InputCycle(s) | πorπCircuit<br>Int.TermsMax.CostStaticGates |  |  |\n| --- | --- | --- | --- |\n| (a,b)12 | (0...10...0)<br>(0...11...0) | nN<br>n(1,n-1)C | -<br>- |\n| (a,b)12<br>(c,d)34 | (0...1000...0)<br>(0...1001...0)<br>(0...1010...0)<br>(0...1111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−1,k;k+1) |\n| (a,b,c)123 | (0...001...0)<br>(0...101...0)<br>(0...111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>- |\n| (a,b,c)123<br>(d,e,f)456 | (0...00001...0)<br>(0...00011...0)<br>(0...00111...0)<br>(0...10001...0)<br>(0...11011...0)<br>(0...11111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C<br>1T,n-1C<br>1T,n-1C | -<br>-<br>-<br>-<br>T(k−1,k+2;k+1)<br>T(k,k+2;k+1) |\n| (a,b,c,d)1234 | (0...1000...0)<br>(0...1001...0)<br>(0...1010...0)<br>(0...1111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−1,k;k+1) |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| InputCycle(s) | πorπCircuit<br>Int.TermsMax.CostStaticGates |  |  |\n| --- | --- | --- | --- |\n| (a,b)12 | (0...10...0)<br>(0...11...0) | nN<br>n(1,n-1)C | -<br>- |\n| (a,b)12<br>(c,d)34 | (0...1000...0)<br>(0...1001...0)<br>(0...1010...0)<br>(0...1111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−1,k;k+1) |","| (a,b,c)123 | (0...001...0)<br>(0...101...0)<br>(0...111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>- |\n| --- | --- | --- | --- |\n| (a,b,c)123<br>(d,e,f)456 | (0...00001...0)<br>(0...00011...0)<br>(0...00111...0)<br>(0...10001...0)<br>(0...11011...0)<br>(0...11111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C<br>1T,n-1C<br>1T,n-1C | -<br>-<br>-<br>-<br>T(k−1,k+2;k+1)<br>T(k,k+2;k+1) |\n| (a,b,c,d)1234 | (0...1000...0)<br>(0...1001...0)<br>(0...1010...0)<br>(0...1111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−1,k;k+1) |\n| (a,b,c,d)1234<br>(e,f)56 | (0...10000...0)<br>(0...10010...0)<br>(0...10100...0)<br>(0...11110...0)<br>(0...10111...0)<br>(0...11011...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C | -<br>-<br>-<br>T(k−1,k;k+1)<br>-<br>(cid:48)<br>T(k−2,k;k+1) |\n| (a,b,c,d)1234<br>(e,f,g,h)5678 | (0...10000...0)<br>(0...10001...0)<br>(0...10010...0)<br>(0...10111...0)<br>(0...10100...0)<br>(0...11101...0)<br>(0...11110...0)<br>(0...11111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C<br>1T,n-1C<br>n(1,n-1)C | -<br>-<br>-<br>-<br>T(k−2,k−1;k)<br>T(k−2,k;k+1)<br>T(k−1,k;k+1)<br>T(k−2,k−1,k;k+1) |\n| (a,b,c,d,e)14235 | (0...10000...0)<br>(0...10001...0)<br>(0...10010...0)<br>(0...11011...0)<br>(0...10111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−2,k−1;k+1)<br>- |\n| (a,b,c,d,e)142310<br>(f,g,h,i,j)58679 | (0...100000...0)<br>(0...100001...0)<br>(0...100010...0)<br>(0...100111...0)<br>(0...101000...0)<br>(0...111001...0)<br>(0...111010...0)<br>(0...111011...0)<br>(0...101111...0)<br>(0...110111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C<br>1T,n-1C<br>n(1,n-1)C<br>n(1,n-1)C<br>1T,n-1C | -<br>-<br>T(k−3,k−2;k−1)<br>-<br>T(k−3,k;k+1)<br>T(k−2,k;k+1)<br>T(k−2,k−1,k;k+1)<br>-<br>(cid:48)<br>T(k−1,k;k+1) |",1]
["| InputCycle(s) | πorπCircuit<br>Int.TermsMax.CostStaticGates |  |  |\n| --- | --- | --- | --- |\n| (a,b)12 | (0...10...0)<br>(0...11...0) | nN<br>n(1,n-1)C | -<br>- |\n| (a,b)12<br>(c,d)34 | (0...1000...0)<br>(0...1001...0)<br>(0...1010...0)<br>(0...1111...0) | nN<br>n(1,n-1)C<br>n(1,n-1)C<br>n(1,n-1)C | -<br>-<br>-<br>T(k−1,k;k+1) |","|  |  |  |\n| --- | --- | --- |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| Method | Additions | Multiplications |\n| --- | --- | --- |\n| Direct | h+w−2 | h+w |\n| FFT | O(log(hw)) | O(log(hw)) |\n| KII | 53 | 18 |\n| CII | 12k−8 | 8k−8 |","| SII | 4k+1 | k |\n| --- | --- | --- |\n| Deriche | 8k−2 | 8k |\n| Youngand<br>vanVliet | 4k | 4k+4 |\n| Proposedmethod | 4k | 2k |",1]
["| Method | Additions | Multiplications |\n| --- | --- | --- |\n| Direct | h+w−2 | h+w |\n| FFT | O(log(hw)) | O(log(hw)) |\n| KII | 53 | 18 |\n| CII | 12k−8 | 8k−8 |","| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.72 | 0.70 |\n| 128×128,22 | 0.88 | 0.87 |\n| 64×64,32 | 0.95 | 0.72 |\n| 128×128,32 | 0.98 | 0.85 |\n| 64×64,42 | 0.50 | 0.64 |\n| 128×128,42 | 0.79 | 0.85 |\n| Average | 0.80 | 0.77 |",0]
["| Method | Additions | Multiplications |\n| --- | --- | --- |\n| Direct | h+w−2 | h+w |","| FFT | O(log(hw)) | O(log(hw)) |\n| --- | --- | --- |\n| KII | 53 | 18 |\n| CII | 12k−8 | 8k−8 |\n| SII | 4k+1 | k |\n| Deriche | 8k−2 | 8k |\n| Youngand<br>vanVliet | 4k | 4k+4 |\n| Proposedmethod | 4k | 2k |",1]
["| Method | Additions | Multiplications |\n| --- | --- | --- |\n| Direct | h+w−2 | h+w |","| 128×128,42 | 0.79 | 0.85 |\n| --- | --- | --- |\n| Average | 0.80 | 0.77 |",0]
["| Applicati | nVEX1 | VEX2 | VEX4 | VEX8 | VEX16 |\n| --- | --- | --- | --- | --- | --- |\n| fsdither | 143768 | 99667 | 84053 | 80412 | 79949 |\n| hilcurv | 382248 | 214232 | 144607 | 144598 | 144596 |\n| htpack | 33871 | 26418 | 21811 | 16339 | 15621 |","| htunpack | 33947 | 24759 | 20152 | 12234 | 10445 |\n| --- | --- | --- | --- | --- | --- |\n| xteaenc | 466824 | 256793 | 234399 | 222079 | 220167 |\n| xteadec | 463349 | 255375 | 240186 | 226287 | 223895 |",1]
["| Applicati | nVEX1 | VEX2 | VEX4 | VEX8 | VEX16 |\n| --- | --- | --- | --- | --- | --- |\n| fsdither | 143768 | 99667 | 84053 | 80412 | 79949 |\n| hilcurv | 382248 | 214232 | 144607 | 144598 | 144596 |\n| htpack | 33871 | 26418 | 21811 | 16339 | 15621 |","| QAP | MIN | PATH | QPB | GRAD | U |\n| --- | --- | --- | --- | --- | --- |\n| chr12c | 11156 | 18048 | 20306 | 19014 | 40370 |\n| chr15a | 9896 | 19086 | 26132 | 30370 | 60986 |\n| chr15c | 9504 | 16206 | 29862 | 23686 | 76318 |\n| chr20b | 2298 | 5560 | 6674 | 6290 | 10022 |\n| chr22b | 6194 | 8500 | 9942 | 9658 | 13118 |\n| esc16b | 292 | 300 | 296 | 298 | 306 |\n| rou12 | 235528 | 256320 | 278834 | 273438 | 295752 |\n| rou15 | 354210 | 391270 | 381016 | 457908 | 480352 |\n| rou20 | 725522 | 778284 | 804676 | 840120 | 905246 |\n| tai10a | 135028 | 152534 | 165364 | 168096 | 189852 |\n| tai15a | 388214 | 419224 | 455778 | 451164 | 483596 |\n| tai17a | 491812 | 530978 | 550852 | 589814 | 620964 |\n| tai20a | 703482 | 753712 | 799790 | 871480 | 915144 |\n| tai30a | 1818146 | 1903872 | 1996442 | 2077958 | 2213846 |\n| tai35a | 2422002 | 2555110 | 2720986 | 2803456 | 2925390 |\n| tai40a | 3139370 | 3281830 | 3529402 | 3668044 | 3727478 |",0]
["| Applicati | nVEX1 | VEX2 | VEX4 | VEX8 | VEX16 |\n| --- | --- | --- | --- | --- | --- |\n| fsdither | 143768 | 99667 | 84053 | 80412 | 79949 |\n| hilcurv | 382248 | 214232 | 144607 | 144598 | 144596 |\n| htpack | 33871 | 26418 | 21811 | 16339 | 15621 |\n| htunpack | 33947 | 24759 | 20152 | 12234 | 10445 |","| xteaenc | 466824 | 256793 | 234399 | 222079 | 220167 |\n| --- | --- | --- | --- | --- | --- |\n| xteadec | 463349 | 255375 | 240186 | 226287 | 223895 |",1]
["| Applicati | nVEX1 | VEX2 | VEX4 | VEX8 | VEX16 |\n| --- | --- | --- | --- | --- | --- |\n| fsdither | 143768 | 99667 | 84053 | 80412 | 79949 |\n| hilcurv | 382248 | 214232 | 144607 | 144598 | 144596 |\n| htpack | 33871 | 26418 | 21811 | 16339 | 15621 |\n| htunpack | 33947 | 24759 | 20152 | 12234 | 10445 |","| tai10a | 135028 | 152534 | 165364 | 168096 | 189852 |\n| --- | --- | --- | --- | --- | --- |\n| tai15a | 388214 | 419224 | 455778 | 451164 | 483596 |\n| tai17a | 491812 | 530978 | 550852 | 589814 | 620964 |\n| tai20a | 703482 | 753712 | 799790 | 871480 | 915144 |\n| tai30a | 1818146 | 1903872 | 1996442 | 2077958 | 2213846 |\n| tai35a | 2422002 | 2555110 | 2720986 | 2803456 | 2925390 |\n| tai40a | 3139370 | 3281830 | 3529402 | 3668044 | 3727478 |",0]
["| Method/<br>Shape | Cone | Plane | Cosine | Sphere |\n| --- | --- | --- | --- | --- |\n| MLAP1 | 2.51 | 9.87 | 4.07 | 8.64 |\n| MLAP2 | 1.41 | 5.14 | 1.83 | 5.06 |","| TV,α=1 | 1.45 | 1.01 | 1.73 | 0.96 |\n| --- | --- | --- | --- | --- |\n| TV,α=1/4 | 1.23 | 1.15 | 1.24 | 0.89 |\n| TV,α=1/8 | 1.27 | 1.26 | 1.43 | 0.97 |",1]
["| Method/<br>Shape | Cone | Plane | Cosine | Sphere |\n| --- | --- | --- | --- | --- |\n| MLAP1 | 2.51 | 9.87 | 4.07 | 8.64 |\n| MLAP2 | 1.41 | 5.14 | 1.83 | 5.06 |","| ρ |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",0]
["| Method/<br>Shape | Cone | Plane | Cosine | Sphere |\n| --- | --- | --- | --- | --- |\n| MLAP1 | 2.51 | 9.87 | 4.07 | 8.64 |","| MLAP2 | 1.41 | 5.14 | 1.83 | 5.06 |\n| --- | --- | --- | --- | --- |\n| TV,α=1 | 1.45 | 1.01 | 1.73 | 0.96 |\n| TV,α=1/4 | 1.23 | 1.15 | 1.24 | 0.89 |\n| TV,α=1/8 | 1.27 | 1.26 | 1.43 | 0.97 |",1]
["| Method/<br>Shape | Cone | Plane | Cosine | Sphere |\n| --- | --- | --- | --- | --- |\n| MLAP1 | 2.51 | 9.87 | 4.07 | 8.64 |","| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",0]
["| Route | Origin | Destination | Departs | Arrives |\n| --- | --- | --- | --- | --- |\n| F1 | Manly | CircularQuay | 23:40 | 00:10 |\n| F1 | CircularQuay | Manly | 23:45 | 00:15 |","| F6 | CircularQuay | CremornePoint | 00:00 | 00:10 |\n| --- | --- | --- | --- | --- |\n| F6 | CremornePoint | SouthMosman | 00:10 | 00:15 |",1]
["| Route | Origin | Destination | Departs | Arrives |\n| --- | --- | --- | --- | --- |\n| F1 | Manly | CircularQuay | 23:40 | 00:10 |\n| F1 | CircularQuay | Manly | 23:45 | 00:15 |","| Scenariocode | S1 | S2 | S3 | S4 | S5 |\n| --- | --- | --- | --- | --- | --- |\n| Numberofstops | 344 | 721 | 1044 | 1670 | 2176 |\n| Relaxeddomainconnections | 744 | 1520 | 2275 | 4001 | 4794 |\n| Timetabledconnections | 23994 | 26702 | 68597 | 72937 | 203590 |\n| Meansoftransport | trains | trains,coaches | trains | trains,coaches | trains |",0]
["| Route | Origin | Destination | Departs | Arrives |\n| --- | --- | --- | --- | --- |\n| F1 | Manly | CircularQuay | 23:40 | 00:10 |","| F1 | CircularQuay | Manly | 23:45 | 00:15 |\n| --- | --- | --- | --- | --- |\n| F6 | CircularQuay | CremornePoint | 00:00 | 00:10 |\n| F6 | CremornePoint | SouthMosman | 00:10 | 00:15 |",1]
["| Route | Origin | Destination | Departs | Arrives |\n| --- | --- | --- | --- | --- |\n| F1 | Manly | CircularQuay | 23:40 | 00:10 |","| Timetabledconnections | 23994 | 26702 | 68597 | 72937 | 203590 |\n| --- | --- | --- | --- | --- | --- |\n| Meansoftransport | trains | trains,coaches | trains | trains,coaches | trains |",0]
["| Min | Mean±std. |\n| --- | --- |\n| 2.2 | 86.0±46.7 |","| 7.6 | 54.5±25.6 |\n| --- | --- |\n| 14.9 | 99.5±38.9 |\n| 4.5 | 68.2±37.3 |\n| 2.9 | 39.3±24.0 |\n| 2.0 | 94.9±107.5 |\n| 2.0 | 79.4±63.4 |",1]
["| Min | Mean±std. |\n| --- | --- |\n| 2.2 | 86.0±46.7 |","| 25.31 | 18.67 | 16.06 |\n| --- | --- | --- |\n| 45.20 | 21.70 | 13.78 |\n| 50.26 | 25.34 | 17.85 |\n| 58.69 | 30.93 | 21.42 |\n| 25.00 | 5.58 | 2.4 |\n| 61.19 | 36.51 | 28.20 |",0]
["| Min | Mean±std. |\n| --- | --- |\n| 2.2 | 86.0±46.7 |\n| 7.6 | 54.5±25.6 |\n| 14.9 | 99.5±38.9 |\n| 4.5 | 68.2±37.3 |","| 2.9 | 39.3±24.0 |\n| --- | --- |\n| 2.0 | 94.9±107.5 |\n| 2.0 | 79.4±63.4 |",1]
["| Min | Mean±std. |\n| --- | --- |\n| 2.2 | 86.0±46.7 |\n| 7.6 | 54.5±25.6 |\n| 14.9 | 99.5±38.9 |\n| 4.5 | 68.2±37.3 |","| 50.26 | 25.34 | 17.85 |\n| --- | --- | --- |\n| 58.69 | 30.93 | 21.42 |\n| 25.00 | 5.58 | 2.4 |\n| 61.19 | 36.51 | 28.20 |",0]
["| Role | HitPints | Location |\n| --- | --- | --- |\n| RLagent | 10 | (x,y)=(2,2) |","| Enemy#1 | 3 | (x,y)=(3,10) |\n| --- | --- | --- |\n| Enemy#2 | 2 | (x,y)=(10,8) |\n| Enemy#3 | 1 | (x,y)=(10,2) |",1]
["| Role | HitPints | Location |\n| --- | --- | --- |\n| RLagent | 10 | (x,y)=(2,2) |","| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| 2Groups | 48.50 | 45.28 |\n| 3Groups | 55.27 | 48.81 |\n| 6Groups | 60.11 | 55.39 |\n| 12Groups | 64.37 | 57.49 |\n| 20Groups | 55.65 | 51.50 |",0]
["| Role | HitPints | Location |\n| --- | --- | --- |\n| RLagent | 10 | (x,y)=(2,2) |\n| Enemy#1 | 3 | (x,y)=(3,10) |","| Enemy#2 | 2 | (x,y)=(10,8) |\n| --- | --- | --- |\n| Enemy#3 | 1 | (x,y)=(10,2) |",1]
["| Role | HitPints | Location |\n| --- | --- | --- |\n| RLagent | 10 | (x,y)=(2,2) |\n| Enemy#1 | 3 | (x,y)=(3,10) |","| 12Groups | 64.37 | 57.49 |\n| --- | --- | --- |\n| 20Groups | 55.65 | 51.50 |",0]
["| Trainingdata | Target(test)data |  |\n| --- | --- | --- |\n| Arts | Sports |  |\n| Entiredataset | 33.6 | 52.4 |\n| Withouttargetdomaindata | 24.5 | 29.3 |","| +5ktargetdomaindata | 31.2 | 41.8 |\n| --- | --- | --- |\n| +10ktargetdomaindata | 32.2 | 43.3 |",1]
["| Trainingdata | Target(test)data |  |\n| --- | --- | --- |\n| Arts | Sports |  |\n| Entiredataset | 33.6 | 52.4 |\n| Withouttargetdomaindata | 24.5 | 29.3 |","| TrainingData | TestData |  |\n| --- | --- | --- |\n| ILSVRC2012Val | WebVisionVal |  |\n| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["| Trainingdata | Target(test)data |\n| --- | --- |\n| Arts | Sports |","| Entiredataset | 33.6 | 52.4 |\n| --- | --- | --- |\n| Withouttargetdomaindata | 24.5 | 29.3 |\n| +5ktargetdomaindata | 31.2 | 41.8 |\n| +10ktargetdomaindata | 32.2 | 43.3 |",1]
["| Trainingdata | Target(test)data |\n| --- | --- |\n| Arts | Sports |","| WebVision | 47.55 | 57.03 |\n| --- | --- | --- |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["| Dataset | Size | Dim. | No.Classes |\n| --- | --- | --- | --- |\n| Balance | 625 | 4 | 3 |","| BUPALiverDisorders | 345 | 6 | 2 |\n| --- | --- | --- | --- |\n| Diabetes | 768 | 8 | 2 |\n| Sonar | 208 | 60 | 2 |\n| Wine | 178 | 13 | 3 |\n| Cho’sgene | 307 | 100 | 5 |",1]
["| Dataset | Size | Dim. | No.Classes |\n| --- | --- | --- | --- |\n| Balance | 625 | 4 | 3 |","| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |\n| Cancer | 699 | 10 |\n| Qsar | 1055 | 41 |\n| Sonar | 208 | 60 |\n| Theorem | 3060 | 51 |\n| Diabetes | 768 | 8 |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",0]
["| Dataset | Size | Dim. | No.Classes |\n| --- | --- | --- | --- |\n| Balance | 625 | 4 | 3 |","| BUPALiverDisorders | 345 | 6 | 2 |\n| --- | --- | --- | --- |\n| Diabetes | 768 | 8 | 2 |\n| Sonar | 208 | 60 | 2 |\n| Wine | 178 | 13 | 3 |\n| Cho’sgene | 307 | 100 | 5 |",1]
["| Dataset | Size | Dim. | No.Classes |\n| --- | --- | --- | --- |\n| Balance | 625 | 4 | 3 |","| Qsar | 1055 | 41 |\n| --- | --- | --- |\n| Sonar | 208 | 60 |\n| Theorem | 3060 | 51 |\n| Diabetes | 768 | 8 |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",0]
["| k | 1 | 2 | 3 | 4 | 5 | odd | even |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| d<br>Lowerboundonχ(F) | 4 | 13 | 29 | 55 | 92 | 5519332<br>d+d+d+<br>124124 | 551132<br>d+d+d+1<br>1246 |\n| d<br>Upperboundonχ(F) | 4 | 13 | 30 | 65 | 108 | 2<br>(d+1)(cid:100)(d+1)/2(cid:101) |  |","| d<br>Valueofχ(F)0,1 | 4 | 9 | 16 | 25 | 36 | 2<br>(d+1) |\n| --- | --- | --- | --- | --- | --- | --- |\n| d<br>Lowerboundonχ(F)0,2 | 4 | 13 | 24 | 34 | 52 | 2<br>3(cid:100)(d+1)/2(cid:101)−2 |\n| d<br>Upperboundonχ(F)0,2 | 4 | 13 | 24 | 36 | 54 | 2<br>3(cid:100)(d+1)/2(cid:101) |",1]
["| k | 1 | 2 | 3 | 4 | 5 | odd | even |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| d<br>Lowerboundonχ(F) | 4 | 13 | 29 | 55 | 92 | 5519332<br>d+d+d+<br>124124 | 551132<br>d+d+d+1<br>1246 |\n| d<br>Upperboundonχ(F) | 4 | 13 | 30 | 65 | 108 | 2<br>(d+1)(cid:100)(d+1)/2(cid:101) |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| k | 1 | 2 | 3 | 4 | 5 | odd | even |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| d<br>Lowerboundonχ(F) | 4 | 13 | 29 | 55 | 92 | 5519332<br>d+d+d+<br>124124 | 551132<br>d+d+d+1<br>1246 |\n| d<br>Upperboundonχ(F) | 4 | 13 | 30 | 65 | 108 | 2<br>(d+1)(cid:100)(d+1)/2(cid:101) |  |\n| d<br>Valueofχ(F)0,1 | 4 | 9 | 16 | 25 | 36 | 2<br>(d+1) |  |","| d<br>Lowerboundonχ(F)0,2 | 4 | 13 | 24 | 34 | 52 | 2<br>3(cid:100)(d+1)/2(cid:101)−2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| d<br>Upperboundonχ(F)0,2 | 4 | 13 | 24 | 36 | 54 | 2<br>3(cid:100)(d+1)/2(cid:101) |",1]
["| k | 1 | 2 | 3 | 4 | 5 | odd | even |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| d<br>Lowerboundonχ(F) | 4 | 13 | 29 | 55 | 92 | 5519332<br>d+d+d+<br>124124 | 551132<br>d+d+d+1<br>1246 |\n| d<br>Upperboundonχ(F) | 4 | 13 | 30 | 65 | 108 | 2<br>(d+1)(cid:100)(d+1)/2(cid:101) |  |\n| d<br>Valueofχ(F)0,1 | 4 | 9 | 16 | 25 | 36 | 2<br>(d+1) |  |","| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| --- | --- | --- |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| Word | Cluster |\n| --- | --- |\n| w,w,w,w43105 | C1 |\n| w9 | C2 |","| w,w,w162 | C3 |\n| --- | --- |\n| w,w87 | C4 |",1]
["| Word | Cluster |\n| --- | --- |\n| w,w,w,w43105 | C1 |\n| w9 | C2 |","| cluster | description |\n| --- | --- |\n| C1 | rightﬁelder,rightwing,rightback |\n| C2 | centralforward |\n| C3 | centralmidﬁelder,internalmidﬁelder |\n| C4 | leftﬁelder,leftwing,leftback |\n| C5 | leftback,leftcentralback |\n| C6 | rightwing,rightforward |\n| C7 | rightback |\n| C8 | leftwing,leftforward |",0]
["| Word | Cluster |\n| --- | --- |\n| w,w,w,w43105 | C1 |","| w9 | C2 |\n| --- | --- |\n| w,w,w162 | C3 |\n| w,w87 | C4 |",1]
["| Word | Cluster |\n| --- | --- |\n| w,w,w,w43105 | C1 |","| C3 | centralmidﬁelder,internalmidﬁelder |\n| --- | --- |\n| C4 | leftﬁelder,leftwing,leftback |\n| C5 | leftback,leftcentralback |\n| C6 | rightwing,rightforward |\n| C7 | rightback |\n| C8 | leftwing,leftforward |",0]
["|  | θ1 | θ2 | θ3 | δS |\n| --- | --- | --- | --- | --- |\n| m1 | 1/3 | 1/3 | 1/3 | 0.423 |\n| m2 | 0.4 | 0.4 | 0.2 | 0.471 |\n| m3 | 0.45 | 0.45 | 0.10 | 0.493 |\n| m4 | 0.45 | 0.40 | 0.15 | 0.508 |\n| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |","| m7 | 0.6 | 0.3 | 0.1 | 0.639 |\n| --- | --- | --- | --- | --- |\n| m8 | 1 | 0 | 0 | 1 |",1]
["|  | θ1 | θ2 | θ3 | δS |\n| --- | --- | --- | --- | --- |\n| m1 | 1/3 | 1/3 | 1/3 | 0.423 |\n| m2 | 0.4 | 0.4 | 0.2 | 0.471 |\n| m3 | 0.45 | 0.45 | 0.10 | 0.493 |\n| m4 | 0.45 | 0.40 | 0.15 | 0.508 |\n| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["|  | θ1 | θ2 | θ3 | δS |\n| --- | --- | --- | --- | --- |\n| m1 | 1/3 | 1/3 | 1/3 | 0.423 |\n| m2 | 0.4 | 0.4 | 0.2 | 0.471 |\n| m3 | 0.45 | 0.45 | 0.10 | 0.493 |\n| m4 | 0.45 | 0.40 | 0.15 | 0.508 |\n| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |","| m7 | 0.6 | 0.3 | 0.1 | 0.639 |\n| --- | --- | --- | --- | --- |\n| m8 | 1 | 0 | 0 | 1 |",1]
["|  | θ1 | θ2 | θ3 | δS |\n| --- | --- | --- | --- | --- |\n| m1 | 1/3 | 1/3 | 1/3 | 0.423 |\n| m2 | 0.4 | 0.4 | 0.2 | 0.471 |\n| m3 | 0.45 | 0.45 | 0.10 | 0.493 |\n| m4 | 0.45 | 0.40 | 0.15 | 0.508 |\n| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |","| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["|  | Topfeatures |  |\n| --- | --- | --- |\n| # | Dataset1 | Dataset2 |","| 1 | POSNOUN | Spellingerror |\n| --- | --- | --- |\n| 2 | Capitalization | LDAdrinking |\n| 3 | Spellingerror | POSNOUN |\n| 4 | POSPREPOSITION | Length |\n| 5 | Length | LDAtonight |\n| 6 | LDALlife | SentimentRatio |\n| 7 | POSVERB | Charrepeat |\n| 8 | LDAtoday | LDAtoday |\n| 9 | POSADV | LDAdrunken |\n| 10 | SentimentRatio | LDAlmao |",1]
["|  | Topfeatures |  |\n| --- | --- | --- |\n| # | Dataset1 | Dataset2 |","| Datasets | TWEETS | GN | YELP |\n| --- | --- | --- | --- |\n| #ofmsg | 12.7M | 2.2M | 1.6M |\n| Vocabularysize | 1.7M | 208K | 85K |\n| Avg.#ofmsgkeywords | 9 | 7 | 37 |\n| SizeinGB | 2.26 | 0.3 | 1.04 |",0]
["|  | Topfeatures |  |\n| --- | --- | --- |\n| # | Dataset1 | Dataset2 |\n| 1 | POSNOUN | Spellingerror |\n| 2 | Capitalization | LDAdrinking |","| 3 | Spellingerror | POSNOUN |\n| --- | --- | --- |\n| 4 | POSPREPOSITION | Length |\n| 5 | Length | LDAtonight |\n| 6 | LDALlife | SentimentRatio |\n| 7 | POSVERB | Charrepeat |\n| 8 | LDAtoday | LDAtoday |\n| 9 | POSADV | LDAdrunken |\n| 10 | SentimentRatio | LDAlmao |",1]
["|  | Topfeatures |  |\n| --- | --- | --- |\n| # | Dataset1 | Dataset2 |\n| 1 | POSNOUN | Spellingerror |\n| 2 | Capitalization | LDAdrinking |","| Vocabularysize | 1.7M | 208K | 85K |\n| --- | --- | --- | --- |\n| Avg.#ofmsgkeywords | 9 | 7 | 37 |\n| SizeinGB | 2.26 | 0.3 | 1.04 |",0]
["| supervision | task |\n| --- | --- |\n| unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd. | detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection |\n| spvd.<br>spvd. | detection<br>detection |\n| spvd. | existence |","| localization |  |\n| --- | --- |\n| spvd. | existence |\n| counting |  |\n| weaklyspvd. | detection |\n| spvd.+latent | existence |",1]
["| supervision | task |\n| --- | --- |\n| unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd. | detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection |\n| spvd.<br>spvd. | detection<br>detection |\n| spvd. | existence |","| Operation | PAPdetector |\n| --- | --- |\n| All-to-all | UsesSTAR-MPIoveralleﬃciencyindicators |\n| Broadcast | UsesitsownmessagingforPATsignaling |\n| Localredirect | UsesitsownmessagingforPATsignaling |\n| Clairvoyant | None,suggestedusageofthestaticanalysisor<br>SMA |",0]
["| supervision | task |\n| --- | --- |\n| unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd. | detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection |","| spvd.<br>spvd. | detection<br>detection |\n| --- | --- |\n| spvd. | existence |\n| localization |  |\n| spvd. | existence |\n| counting |  |\n| weaklyspvd. | detection |\n| spvd.+latent | existence |",1]
["| supervision | task |\n| --- | --- |\n| unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd. | detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection |","| Localredirect | UsesitsownmessagingforPATsignaling |\n| --- | --- |\n| Clairvoyant | None,suggestedusageofthestaticanalysisor<br>SMA |",0]
["| Model | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| GraphCRF | 65.20 | 66.50 | 65.84 |","| SupervisedPCRW | 76.30 | 79.47 | 77.85 |\n| --- | --- | --- | --- |\n| segSeq2Seq | 73.44 | 73.04 | 73.24 |\n| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 |",1]
["| Model | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| GraphCRF | 65.20 | 66.50 | 65.84 |","| Model | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| SVMfact | 100.00 | 40.20 | 57.34 |\n| NNfact | 87.14 | 59.80 | 70.93 |\n| NNfactart | 87.18 | 66.67 | 75.56 |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",0]
["| Model | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| GraphCRF | 65.20 | 66.50 | 65.84 |","| SupervisedPCRW | 76.30 | 79.47 | 77.85 |\n| --- | --- | --- | --- |\n| segSeq2Seq | 73.44 | 73.04 | 73.24 |\n| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 |",1]
["| Model | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| GraphCRF | 65.20 | 66.50 | 65.84 |","| NNfact | 87.14 | 59.80 | 70.93 |\n| --- | --- | --- | --- |\n| NNfactart | 87.18 | 66.67 | 75.56 |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",0]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 5x5x32 | 98.6 | 114 |","| 5x5x16 | 98.5 | 110 |\n| --- | --- | --- |\n| 5x5x8 | 98.2 | 107 |\n| 5x5x4 | 97.8 | 109 |\n| 5x5x2 | 97.38 | 108 |",1]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 5x5x32 | 98.6 | 114 |","| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 3x3x32 | 98 | 117 |\n| 3x3x16 | 97.79 | 108 |\n| 3x3x8 | 97.5 | 103 |\n| 3x3x4 | 96.6 | 108 |\n| 3x3x2 | 96.2 | 106 |",0]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 5x5x32 | 98.6 | 114 |\n| 5x5x16 | 98.5 | 110 |","| 5x5x8 | 98.2 | 107 |\n| --- | --- | --- |\n| 5x5x4 | 97.8 | 109 |\n| 5x5x2 | 97.38 | 108 |",1]
["| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 5x5x32 | 98.6 | 114 |\n| 5x5x16 | 98.5 | 110 |","| 3x3x4 | 96.6 | 108 |\n| --- | --- | --- |\n| 3x3x2 | 96.2 | 106 |",0]
["| VideoName | Gaze-fixvsGBVS | Gaze-fixvsSignatureSal | Gaze-fixvsSeo | Gaze-fixvsDeepRGB8k |\n| --- | --- | --- | --- | --- |\n| clipTest1 | 0,81627±0,10087 | 0,69327±0,13647 | 0,50090±0,06489 | 0,725073±0,168168 |\n| clipTest56 | 0,76594±0,11569 | 0,75797±0,08650 | 0,64172±0,11630 | 0,82244±0,07295 |\n| clipTest105 | 0,63138±0,16925 | 0,57462±0,13967 | 0,54629±0,12330 | 0,63652±0,22207 |\n| clipTest200 | 0,75904±0,17022 | 0,87614±0,10807 | 0,65675±0,13202 | 0,77948±0,17523 |\n| clipTest250 | 0,74555±0,09992 | 0,69339±0,11066 | 0,47032±0,10193 | 0,84299±0,10787 |\n| clipTest300 | 0,82822±0,11143 | 0,81271±0,12922 | 0,75965±0,13658 | 0,74878±0,12161 |\n| clipTest350 | 0,65136±0,16637 | 0,68849±0,249027 | 0,57134±0,12408 | 0,72284±0,16996 |\n| clipTest500 | 0,82347±0,13901 | 0,84531±0,15070 | 0,75748±0,15382 | 0,85621±0,16137 |\n| ClipTest704 | 0,80168±0,08349 | 0,85520±0,06826 | 0,57703±0,07959 | 0,78256±0,09523 |\n| ClipTest752 | 0,73288±0,17742 | 0,54861±0,15555 | 0,71413±0,13138 | 0,59356±0,17804 |","| ClipTest803 | 0,86825±0,106833 | 0,87556±0,06896 | 0,73847±0,14879 | 0,88170±0,10827 |\n| --- | --- | --- | --- | --- |\n| ClipTest849 | 0,75279±0,15518 | 0,91888±0,07070 | 0,55145±0,12245 | 0,91089±0,05217 |",1]
["| VideoName | Gaze-fixvsGBVS | Gaze-fixvsSignatureSal | Gaze-fixvsSeo | Gaze-fixvsDeepRGB8k |\n| --- | --- | --- | --- | --- |\n| clipTest1 | 0,81627±0,10087 | 0,69327±0,13647 | 0,50090±0,06489 | 0,725073±0,168168 |\n| clipTest56 | 0,76594±0,11569 | 0,75797±0,08650 | 0,64172±0,11630 | 0,82244±0,07295 |\n| clipTest105 | 0,63138±0,16925 | 0,57462±0,13967 | 0,54629±0,12330 | 0,63652±0,22207 |\n| clipTest200 | 0,75904±0,17022 | 0,87614±0,10807 | 0,65675±0,13202 | 0,77948±0,17523 |\n| clipTest250 | 0,74555±0,09992 | 0,69339±0,11066 | 0,47032±0,10193 | 0,84299±0,10787 |\n| clipTest300 | 0,82822±0,11143 | 0,81271±0,12922 | 0,75965±0,13658 | 0,74878±0,12161 |\n| clipTest350 | 0,65136±0,16637 | 0,68849±0,249027 | 0,57134±0,12408 | 0,72284±0,16996 |\n| clipTest500 | 0,82347±0,13901 | 0,84531±0,15070 | 0,75748±0,15382 | 0,85621±0,16137 |\n| ClipTest704 | 0,80168±0,08349 | 0,85520±0,06826 | 0,57703±0,07959 | 0,78256±0,09523 |\n| ClipTest752 | 0,73288±0,17742 | 0,54861±0,15555 | 0,71413±0,13138 | 0,59356±0,17804 |","| FirstExperiment | SecondExperiment |  |  |  |\n| --- | --- | --- | --- | --- |\n| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |\n| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |\n| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,19994 | 0,82034±0,12727 |\n| clipTest105 | 0,35626±0,33049 | 0,74312±0,19479 | 0,66285±0,20553 | 0,74740±0,14689 |\n| ClipTest200 | 0,50643±0,241466 | 0,59407±0,20188 | 0,53926±0,21976 | 0,69309±0,16428 |\n| ClipTest250 | 0,548647±0,240311 | 0,754679±0,15476 | 0,41965±0,28409 | 0,72621±0,15028 |\n| ClipTest300 | 0,58236±0,22632 | 0,66156±0,16352 | 0,33808±0,19672 | 0,79186±0,09732 |\n| ClipTest350 | 0,67679±0,29777 | 0,739803±0,16859 | 0,47971±0,40607 | 0,80467±0,15750 |\n| ClipTest500 | 0,58351±0,20639 | 0,75242±0,15365 | 0,36761±0,36777 | 0,82230±0,15196 |\n| ClipTest704 | 0,59292±0,18421 | 0,68858±0,16278 | 0,46192±0,21286 | 0,76831±0,11186 |\n| ClipTest752 | 0,41710±0,11422 | 0,63240±0,16870 | 0,25651±0,25830 | 0,58621±0,21568 |\n| ClipTest803 | 0,67961±0,24997 | 0,82489±0,14023 | 0,55019±0,18646 | 0,87474±0,06946 |\n| ClipTest849 | 0,39952±0,31980 | 0,67103±0,20623 | 0,30190±0,27491 | 0,81148±0,10363 |",0]
["| VideoName | Gaze-fixvsGBVS | Gaze-fixvsSignatureSal | Gaze-fixvsSeo | Gaze-fixvsDeepRGB8k |\n| --- | --- | --- | --- | --- |\n| clipTest1 | 0,81627±0,10087 | 0,69327±0,13647 | 0,50090±0,06489 | 0,725073±0,168168 |\n| clipTest56 | 0,76594±0,11569 | 0,75797±0,08650 | 0,64172±0,11630 | 0,82244±0,07295 |\n| clipTest105 | 0,63138±0,16925 | 0,57462±0,13967 | 0,54629±0,12330 | 0,63652±0,22207 |\n| clipTest200 | 0,75904±0,17022 | 0,87614±0,10807 | 0,65675±0,13202 | 0,77948±0,17523 |","| clipTest250 | 0,74555±0,09992 | 0,69339±0,11066 | 0,47032±0,10193 | 0,84299±0,10787 |\n| --- | --- | --- | --- | --- |\n| clipTest300 | 0,82822±0,11143 | 0,81271±0,12922 | 0,75965±0,13658 | 0,74878±0,12161 |\n| clipTest350 | 0,65136±0,16637 | 0,68849±0,249027 | 0,57134±0,12408 | 0,72284±0,16996 |\n| clipTest500 | 0,82347±0,13901 | 0,84531±0,15070 | 0,75748±0,15382 | 0,85621±0,16137 |\n| ClipTest704 | 0,80168±0,08349 | 0,85520±0,06826 | 0,57703±0,07959 | 0,78256±0,09523 |\n| ClipTest752 | 0,73288±0,17742 | 0,54861±0,15555 | 0,71413±0,13138 | 0,59356±0,17804 |\n| ClipTest803 | 0,86825±0,106833 | 0,87556±0,06896 | 0,73847±0,14879 | 0,88170±0,10827 |\n| ClipTest849 | 0,75279±0,15518 | 0,91888±0,07070 | 0,55145±0,12245 | 0,91089±0,05217 |",1]
["| VideoName | Gaze-fixvsGBVS | Gaze-fixvsSignatureSal | Gaze-fixvsSeo | Gaze-fixvsDeepRGB8k |\n| --- | --- | --- | --- | --- |\n| clipTest1 | 0,81627±0,10087 | 0,69327±0,13647 | 0,50090±0,06489 | 0,725073±0,168168 |\n| clipTest56 | 0,76594±0,11569 | 0,75797±0,08650 | 0,64172±0,11630 | 0,82244±0,07295 |\n| clipTest105 | 0,63138±0,16925 | 0,57462±0,13967 | 0,54629±0,12330 | 0,63652±0,22207 |\n| clipTest200 | 0,75904±0,17022 | 0,87614±0,10807 | 0,65675±0,13202 | 0,77948±0,17523 |","| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,19994 | 0,82034±0,12727 |\n| --- | --- | --- | --- | --- |\n| clipTest105 | 0,35626±0,33049 | 0,74312±0,19479 | 0,66285±0,20553 | 0,74740±0,14689 |\n| ClipTest200 | 0,50643±0,241466 | 0,59407±0,20188 | 0,53926±0,21976 | 0,69309±0,16428 |\n| ClipTest250 | 0,548647±0,240311 | 0,754679±0,15476 | 0,41965±0,28409 | 0,72621±0,15028 |\n| ClipTest300 | 0,58236±0,22632 | 0,66156±0,16352 | 0,33808±0,19672 | 0,79186±0,09732 |\n| ClipTest350 | 0,67679±0,29777 | 0,739803±0,16859 | 0,47971±0,40607 | 0,80467±0,15750 |\n| ClipTest500 | 0,58351±0,20639 | 0,75242±0,15365 | 0,36761±0,36777 | 0,82230±0,15196 |\n| ClipTest704 | 0,59292±0,18421 | 0,68858±0,16278 | 0,46192±0,21286 | 0,76831±0,11186 |\n| ClipTest752 | 0,41710±0,11422 | 0,63240±0,16870 | 0,25651±0,25830 | 0,58621±0,21568 |\n| ClipTest803 | 0,67961±0,24997 | 0,82489±0,14023 | 0,55019±0,18646 | 0,87474±0,06946 |\n| ClipTest849 | 0,39952±0,31980 | 0,67103±0,20623 | 0,30190±0,27491 | 0,81148±0,10363 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.48 | 1.00±0.00 | 0.70±0.46 |","| Baseline | 0.85±0.24 | 0.65±0.19 | 0.7233±0.19 |\n| --- | --- | --- | --- |\n| MIMB | 0.90±0.21 | 0.8667±0.17 | 0.8533±0.14 |\n|  | nData=10 |  |  |\n| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| Baseline | 0.85±0.24 | 0.9833±0.05 | 0.88±0.16 |\n| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.48 | 1.00±0.00 | 0.70±0.46 |","| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |\n| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |\n| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |\n|  | nData=10 |  |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.48 | 1.00±0.00 | 0.70±0.46 |\n| Baseline | 0.85±0.24 | 0.65±0.19 | 0.7233±0.19 |\n| MIMB | 0.90±0.21 | 0.8667±0.17 | 0.8533±0.14 |","|  | nData=10 |  |  |\n| --- | --- | --- | --- |\n| He-Geng | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |\n| Baseline | 0.85±0.24 | 0.9833±0.05 | 0.88±0.16 |\n| MIMB | 0.90±0.21 | 1.00±0.00 | 0.9333±0.14 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.70±0.48 | 1.00±0.00 | 0.70±0.46 |\n| Baseline | 0.85±0.24 | 0.65±0.19 | 0.7233±0.19 |\n| MIMB | 0.90±0.21 | 0.8667±0.17 | 0.8533±0.14 |","| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |\n| --- | --- | --- | --- |\n|  | nData=10 |  |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",0]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |","| D→K | 0.8025 | 0.774 | 0.0014 |\n| --- | --- | --- | --- |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",1]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |","| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",0]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |","| D→B | 0.773 | 0.7605 | 0.0186 |\n| --- | --- | --- | --- |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",1]
["| Dataset | AE-SCL-SR | MSDA | p−value |\n| --- | --- | --- | --- |\n| B→K | 0.8005 | 0.788 | 0.0268 |\n| B→D | 0.8105 | 0.783 | 0.0011 |\n| B→E | 0.7675 | 0.7455 | 0.0119 |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |","| B→E | 0.7675 | 0.7455 | 0.0119 |\n| --- | --- | --- | --- |\n| K→B | 0.7295 | 0.7 | 0.0038 |\n| K→D | 0.763 | 0.714 | 1.9e-06 |\n| K→E | 0.84 | 0.824 | 0.018 |\n| D→B | 0.773 | 0.7605 | 0.0186 |\n| D→K | 0.8025 | 0.774 | 0.0014 |\n| D→E | 0.781 | 0.75 | 0.0011 |\n| E→B | 0.7115 | 0.7185 | 0.4823 |\n| E→K | 0.8455 | 0.845 | 0.9507 |\n| E→D | 0.745 | 0.71 | 0.0003 |",0]
["| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |","| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",1]
["| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |","| Dataset | logβ | α | τ |\n| --- | --- | --- | --- |\n| N=50 |  |  |  |\n| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |\n| BP | 0.93(0.12) | 0.08(0.04) | 0.92(0.00) |\n| MN | 1.66(0.16) | 0.03(0.01) | 0.72(0.04) |\n| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |\n| N=5000 |  |  |  |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",0]
["| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |","| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",1]
["| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |","| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |\n| --- | --- | --- | --- |\n| N=5000 |  |  |  |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",0]
["| Parameter | Value |\n| --- | --- |\n| D0 | 2<br>O(dlogn) |","| m,m12 | O(d(logn)/(1−p)) |\n| --- | --- |\n| m3 | O(d(logn)/(1−p)) |\n| m4 | O(dD(logn)/(1−p)) |\n| e | Ω(ηdlogn) |",1]
["| Parameter | Value |\n| --- | --- |\n| D0 | 2<br>O(dlogn) |","| Parameter | Value |\n| --- | --- |\n| D0 | 22<br>O(cdT(n)) |\n| m,m12 | O(cdT(n)log(n/d)) |\n| m3 | O(cdT(n)log(n/d)) |\n| m4 | O(cdDT(n)log(n/d)) |\n| t1 | O(n/(cdT(n))) |\n| t2 | O(nD/(cdT(n))) |\n| e,e,e,e1234 | Ω(ηdlog(n/d)/(1−η)) |\n| m,i∈[4] | O(m/(1−η))i |",0]
["| Parameter | Value |\n| --- | --- |\n| D0 | 2<br>O(dlogn) |\n| m,m12 | O(d(logn)/(1−p)) |\n| m3 | O(d(logn)/(1−p)) |","| m4 | O(dD(logn)/(1−p)) |\n| --- | --- |\n| e | Ω(ηdlogn) |",1]
["| Parameter | Value |\n| --- | --- |\n| D0 | 2<br>O(dlogn) |\n| m,m12 | O(d(logn)/(1−p)) |\n| m3 | O(d(logn)/(1−p)) |","| m3 | O(cdT(n)log(n/d)) |\n| --- | --- |\n| m4 | O(cdDT(n)log(n/d)) |\n| t1 | O(n/(cdT(n))) |\n| t2 | O(nD/(cdT(n))) |\n| e,e,e,e1234 | Ω(ηdlog(n/d)/(1−η)) |\n| m,i∈[4] | O(m/(1−η))i |",0]
["| Object | Sequence | Boundary | Non-Boundary |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Textured | Pens | 40.9 | 24.7 | 23.4 | 9.8 | 13.3 | 50.8 | 45.8 | 43.5 | 30.9 | 36.1 | 46.2 | 37.8 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |","| Homogeneo | Box | 36.5 | 33.1 | 28.2 | 10.3 | 20.5 | 53.3 | 47.0 | 30.2 | 35.5 | 23.7 | 40.1 | 38.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Stereo | Tsukuba | 32.6 | 20.9 | 29.2 | 11.6 | 30.7 | 48.2 | 47.8 | 51.1 | 43.3 | 43.9 | 81.1 | 68.4 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |",1]
["| Object | Sequence | Boundary | Non-Boundary |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Textured | Pens | 40.9 | 24.7 | 23.4 | 9.8 | 13.3 | 50.8 | 45.8 | 43.5 | 30.9 | 36.1 | 46.2 | 37.8 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BG11362 | 4 | 0 | 2 | 4 | 0 | 0 | - | 104 | 81 | 13 | 23 | 0.862 |\n| BG14213 | 61 | 45 | 2 | 16 | 0.957 | 0.738 | 0.833 | 106 | 106 | 3 | 0 | 0.972 |\n| BG2408 | 20 | 18 | 5 | 2 | 0.783 | 0.9 | 0.837 | 101 | 100 | 7 | 1 | 0.935 |\n| BG34901 | 16 | 8 | 2 | 8 | 0.8 | 0.5 | 0.615 | 224 | 219 | 6 | 5 | 0.973 |\n| BG35050 | 4 | 0 | 1 | 4 | 0 | 0 | - | 98 | 98 | 0 | 0 | 1 |\n| BG35187 | 23 | 19 | 1 | 4 | 0.95 | 0.826 | 0.884 | 135 | 125 | 3 | 10 | 0.977 |\n| BG36028 | 0 | 0 | 0 | 0 | - | - | - | 87 | 86 | 14 | 1 | 0.86 |\n| BG36182 | 14 | 3 | 0 | 11 | 1 | 0.214 | 0.353 | 95 | 95 | 3 | 0 | 0.969 |\n| BG36506 | 6 | 4 | 2 | 2 | 0.667 | 0.667 | 0.667 | 77 | 76 | 1 | 1 | 0.987 |\n| BG36537 | 30 | 24 | 20 | 6 | 0.545 | 0.8 | 0.649 | 259 | 244 | 0 | 15 | 1 |\n| BG36628 | 10 | 6 | 3 | 4 | 0.667 | 0.6 | 0.632 | 192 | 191 | 5 | 1 | 0.974 |\n| BG37359 | 6 | 6 | 1 | 0 | 0.857 | 1 | 0.923 | 164 | 157 | 3 | 7 | 0.981 |\n| BG37417 | 12 | 10 | 2 | 2 | 0.833 | 0.833 | 0.833 | 76 | 72 | 4 | 4 | 0.947 |\n| BG37822 | 10 | 9 | 1 | 1 | 0.9 | 0.9 | 0.9 | 119 | 115 | 5 | 4 | 0.958 |\n| BG37879 | 4 | 3 | 1 | 1 | 0.75 | 0.75 | 0.75 | 95 | 92 | 0 | 3 | 1 |\n| BG38150 | 4 | 4 | 2 | 0 | 0.667 | 1 | 0.8 | 215 | 214 | 1 | 1 | 0.995 |\n| BG9401 | 3 | 3 | 1 | 0 | 0.75 | 1 | 0.857 | 89 | 89 | 0 | 0 | 1 |\n| Total | 227 | 162 | 46 | 65 | 0.779 | 0.714 | 0.745 | 2236 | 2160 | 68 | 76 | 0.969 |",0]
["| Object | Sequence | Boundary | Non-Boundary |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Textured | Pens | 40.9 | 24.7 | 23.4 | 9.8 | 13.3 | 50.8 | 45.8 | 43.5 | 30.9 | 36.1 | 46.2 | 37.8 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Homogeneo | Box | 36.5 | 33.1 | 28.2 | 10.3 | 20.5 | 53.3 | 47.0 | 30.2 | 35.5 | 23.7 | 40.1 | 38.6 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Stereo | Tsukuba | 32.6 | 20.9 | 29.2 | 11.6 | 30.7 | 48.2 | 47.8 | 51.1 | 43.3 | 43.9 | 81.1 | 68.4 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |",1]
["| Object | Sequence | Boundary | Non-Boundary |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Textured | Pens | 40.9 | 24.7 | 23.4 | 9.8 | 13.3 | 50.8 | 45.8 | 43.5 | 30.9 | 36.1 | 46.2 | 37.8 |","| BG34901 | 16 | 8 | 2 | 8 | 0.8 | 0.5 | 0.615 | 224 | 219 | 6 | 5 | 0.973 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BG35050 | 4 | 0 | 1 | 4 | 0 | 0 | - | 98 | 98 | 0 | 0 | 1 |\n| BG35187 | 23 | 19 | 1 | 4 | 0.95 | 0.826 | 0.884 | 135 | 125 | 3 | 10 | 0.977 |\n| BG36028 | 0 | 0 | 0 | 0 | - | - | - | 87 | 86 | 14 | 1 | 0.86 |\n| BG36182 | 14 | 3 | 0 | 11 | 1 | 0.214 | 0.353 | 95 | 95 | 3 | 0 | 0.969 |\n| BG36506 | 6 | 4 | 2 | 2 | 0.667 | 0.667 | 0.667 | 77 | 76 | 1 | 1 | 0.987 |\n| BG36537 | 30 | 24 | 20 | 6 | 0.545 | 0.8 | 0.649 | 259 | 244 | 0 | 15 | 1 |\n| BG36628 | 10 | 6 | 3 | 4 | 0.667 | 0.6 | 0.632 | 192 | 191 | 5 | 1 | 0.974 |\n| BG37359 | 6 | 6 | 1 | 0 | 0.857 | 1 | 0.923 | 164 | 157 | 3 | 7 | 0.981 |\n| BG37417 | 12 | 10 | 2 | 2 | 0.833 | 0.833 | 0.833 | 76 | 72 | 4 | 4 | 0.947 |\n| BG37822 | 10 | 9 | 1 | 1 | 0.9 | 0.9 | 0.9 | 119 | 115 | 5 | 4 | 0.958 |\n| BG37879 | 4 | 3 | 1 | 1 | 0.75 | 0.75 | 0.75 | 95 | 92 | 0 | 3 | 1 |\n| BG38150 | 4 | 4 | 2 | 0 | 0.667 | 1 | 0.8 | 215 | 214 | 1 | 1 | 0.995 |\n| BG9401 | 3 | 3 | 1 | 0 | 0.75 | 1 | 0.857 | 89 | 89 | 0 | 0 | 1 |\n| Total | 227 | 162 | 46 | 65 | 0.779 | 0.714 | 0.745 | 2236 | 2160 | 68 | 76 | 0.969 |",0]
["| 0.47(62) | 0.02(3) |\n| --- | --- |\n| 0.77(106) | 0.05(7) |\n| 0.86(119) | 0.06(8) |","| 0.88(122) | 0.06(8) |\n| --- | --- |\n| 0.91(125) | 0.05(7) |\n| 0.96(130) | 0.04(6) |",1]
["| 0.47(62) | 0.02(3) |\n| --- | --- |\n| 0.77(106) | 0.05(7) |\n| 0.86(119) | 0.06(8) |","| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| 0.47(62) | 0.02(3) |\n| --- | --- |\n| 0.77(106) | 0.05(7) |","| 0.86(119) | 0.06(8) |\n| --- | --- |\n| 0.88(122) | 0.06(8) |\n| 0.91(125) | 0.05(7) |\n| 0.96(130) | 0.04(6) |",1]
["| 0.47(62) | 0.02(3) |\n| --- | --- |\n| 0.77(106) | 0.05(7) |","| 1 | 100 | 0 | 45.034 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| line | fragments |\n| --- | --- |\n| 4 | {} |\n| 24 | {{(f7,C3)}} |","| 24 | {{(f7,C3)},{(f8,C4)}} |\n| --- | --- |\n| 11<br>11 | {{(f7,C3),(f7,P2)},{(f8,C4)}}<br>{{(f7,C3),(f7,P2)},{(f8,C4),(f8,P2)}} |",1]
["| line | fragments |\n| --- | --- |\n| 4 | {} |\n| 24 | {{(f7,C3)}} |","| line | fragments |\n| --- | --- |\n| 4 | {} |\n| 24 | {{(f1,C1)}} |\n| 11 | {{(f1,C1),(f1,C3)}} |\n| 11 | {{(f1,C1),(f1,C3),(f1,P1)}} |",0]
["| line | fragments |\n| --- | --- |\n| 4 | {} |","| 24 | {{(f7,C3)}} |\n| --- | --- |\n| 24 | {{(f7,C3)},{(f8,C4)}} |\n| 11<br>11 | {{(f7,C3),(f7,P2)},{(f8,C4)}}<br>{{(f7,C3),(f7,P2)},{(f8,C4),(f8,P2)}} |",1]
["| line | fragments |\n| --- | --- |\n| 4 | {} |","| 11 | {{(f1,C1),(f1,C3)}} |\n| --- | --- |\n| 11 | {{(f1,C1),(f1,C3),(f1,P1)}} |",0]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| HKG | -41.3 | 2.1 | 0.67 | 8.7 | 0.39 | 5.1 |\n| USA | -16.1 | 2.7 | -2.0 | 4.8 | 0.11 | -0.15 |\n| CAN | -15.2 | 3.1 | -1.7 | 4.8 | 0.45 | 0.78 |\n| SIN | -8.5 | 1.6 | -0.77 | 3.4 | -0.41 | 0.24 |\n| ROC | -8.1 | 2.7 | -1.7 | 3.2 | 0.36 | -0.16 |\n| MAS | -4.5 | 3.1 | -1.5 | 2.1 | 1.2 | 3.8 |\n| VIE | -3.6 | 1.5 | -0.89 | 2.4 | -2.0 | 6.4 |\n| GER | -2.4 | 2.1 | -0.99 | 1.4 | 0.29 | -0.81 |\n| FRA | -2.4 | 2.0 | -0.85 | 1.5 | 0.70 | 0.47 |","| THI | -2.3 | 1.8 | -0.76 | 1.7 | 0.32 | 0.12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GBR | -1.4 | 1.4 | -0.42 | 1.5 | 0.78 | 1.6 |\n| Average | -9.6 | 2.2 | -1.0 | 3.2 | 0.20 | 1.6 |",1]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| HKG | -41.3 | 2.1 | 0.67 | 8.7 | 0.39 | 5.1 |\n| USA | -16.1 | 2.7 | -2.0 | 4.8 | 0.11 | -0.15 |\n| CAN | -15.2 | 3.1 | -1.7 | 4.8 | 0.45 | 0.78 |\n| SIN | -8.5 | 1.6 | -0.77 | 3.4 | -0.41 | 0.24 |\n| ROC | -8.1 | 2.7 | -1.7 | 3.2 | 0.36 | -0.16 |\n| MAS | -4.5 | 3.1 | -1.5 | 2.1 | 1.2 | 3.8 |\n| VIE | -3.6 | 1.5 | -0.89 | 2.4 | -2.0 | 6.4 |\n| GER | -2.4 | 2.1 | -0.99 | 1.4 | 0.29 | -0.81 |\n| FRA | -2.4 | 2.0 | -0.85 | 1.5 | 0.70 | 0.47 |","| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |\n| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| HKG | -41.3 | 2.1 | 0.67 | 8.7 | 0.39 | 5.1 |\n| USA | -16.1 | 2.7 | -2.0 | 4.8 | 0.11 | -0.15 |\n| CAN | -15.2 | 3.1 | -1.7 | 4.8 | 0.45 | 0.78 |","| SIN | -8.5 | 1.6 | -0.77 | 3.4 | -0.41 | 0.24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ROC | -8.1 | 2.7 | -1.7 | 3.2 | 0.36 | -0.16 |\n| MAS | -4.5 | 3.1 | -1.5 | 2.1 | 1.2 | 3.8 |\n| VIE | -3.6 | 1.5 | -0.89 | 2.4 | -2.0 | 6.4 |\n| GER | -2.4 | 2.1 | -0.99 | 1.4 | 0.29 | -0.81 |\n| FRA | -2.4 | 2.0 | -0.85 | 1.5 | 0.70 | 0.47 |\n| THI | -2.3 | 1.8 | -0.76 | 1.7 | 0.32 | 0.12 |\n| GBR | -1.4 | 1.4 | -0.42 | 1.5 | 0.78 | 1.6 |\n| Average | -9.6 | 2.2 | -1.0 | 3.2 | 0.20 | 1.6 |",1]
["| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| HKG | -41.3 | 2.1 | 0.67 | 8.7 | 0.39 | 5.1 |\n| USA | -16.1 | 2.7 | -2.0 | 4.8 | 0.11 | -0.15 |\n| CAN | -15.2 | 3.1 | -1.7 | 4.8 | 0.45 | 0.78 |","| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| n | a(n)2 | a(n)3 | a(n)4 | a(n)5 | a(n)6 | a(n)7 | a(n)8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 3 | 4 | 5 | 5 | 5 | 5 | 5 |\n| 5 | 4 | 6 | 7 | 8 | 8 | 8 | 8 |\n| 6 | 5 | 8 | 10 | 11 | 12 | 12 | 12 |\n| 7 | 7 | 12 | 15 | 17 | 18 | 19 | 19 |\n| 8 | 9 | 17 | 22 | 25 | 27 | 28 | 29 |","| 9 | 13 | 25 | 33 | 38 | 41 | 43 | 44 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 18 | 37 | 49 | 57 | 62 | 65 | 67 |\n| 11 | 25 | 53 | 72 | 84 | 92 | 97 | 100 |\n| 12 | 34 | 76 | 105 | 124 | 136 | 144 | 149 |\n| 13 | 48 | 109 | 153 | 182 | 201 | 213 | 221 |\n| 14 | 67 | 159 | 224 | 268 | 297 | 316 | 328 |\n| 15 | 97 | 231 | 330 | 395 | 439 | 468 | 487 |\n| 16 | 134 | 336 | 483 | 582 | 647 | 691 | 720 |\n| 17 | 191 | 485 | 708 | 807 | 906 | 1053 | 1097 |\n| 18 | 258 | 690 | 1017 | 1164 | 1263 | 1362 | 1427 |\n| 19 | 374 | 998 |  |  |  |  |  |\n| 20 | 521 | 1434 |  |  |  |  |  |\n| 21 | 738 | 2057 |  |  |  |  |  |\n| 22 | 1024 |  |  |  |  |  |  |\n| 23 | 1431 |  |  |  |  |  |  |\n| 24 | 1972 |  |  |  |  |  |  |\n| 25 | 2755 |  |  |  |  |  |  |\n| 26 | 3785 |  |  |  |  |  |  |\n| 27 | 5244 |  |  |  |  |  |  |\n| 28 | 7223 |  |  |  |  |  |  |\n| 29 | 9937 |  |  |  |  |  |  |\n| 30 | 13545 |  |  |  |  |  |  |",1]
["| n | a(n)2 | a(n)3 | a(n)4 | a(n)5 | a(n)6 | a(n)7 | a(n)8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 3 | 4 | 5 | 5 | 5 | 5 | 5 |\n| 5 | 4 | 6 | 7 | 8 | 8 | 8 | 8 |\n| 6 | 5 | 8 | 10 | 11 | 12 | 12 | 12 |\n| 7 | 7 | 12 | 15 | 17 | 18 | 19 | 19 |\n| 8 | 9 | 17 | 22 | 25 | 27 | 28 | 29 |","| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |\n| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["| n | a(n)2 | a(n)3 | a(n)4 | a(n)5 | a(n)6 | a(n)7 | a(n)8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 3 | 4 | 5 | 5 | 5 | 5 | 5 |\n| 5 | 4 | 6 | 7 | 8 | 8 | 8 | 8 |\n| 6 | 5 | 8 | 10 | 11 | 12 | 12 | 12 |\n| 7 | 7 | 12 | 15 | 17 | 18 | 19 | 19 |\n| 8 | 9 | 17 | 22 | 25 | 27 | 28 | 29 |\n| 9 | 13 | 25 | 33 | 38 | 41 | 43 | 44 |\n| 10 | 18 | 37 | 49 | 57 | 62 | 65 | 67 |\n| 11 | 25 | 53 | 72 | 84 | 92 | 97 | 100 |\n| 12 | 34 | 76 | 105 | 124 | 136 | 144 | 149 |\n| 13 | 48 | 109 | 153 | 182 | 201 | 213 | 221 |\n| 14 | 67 | 159 | 224 | 268 | 297 | 316 | 328 |\n| 15 | 97 | 231 | 330 | 395 | 439 | 468 | 487 |\n| 16 | 134 | 336 | 483 | 582 | 647 | 691 | 720 |\n| 17 | 191 | 485 | 708 | 807 | 906 | 1053 | 1097 |\n| 18 | 258 | 690 | 1017 | 1164 | 1263 | 1362 | 1427 |\n| 19 | 374 | 998 |  |  |  |  |  |","| 20 | 521 | 1434 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 21 | 738 | 2057 |  |  |  |  |  |\n| 22 | 1024 |  |  |  |  |  |  |\n| 23 | 1431 |  |  |  |  |  |  |\n| 24 | 1972 |  |  |  |  |  |  |\n| 25 | 2755 |  |  |  |  |  |  |\n| 26 | 3785 |  |  |  |  |  |  |\n| 27 | 5244 |  |  |  |  |  |  |\n| 28 | 7223 |  |  |  |  |  |  |\n| 29 | 9937 |  |  |  |  |  |  |\n| 30 | 13545 |  |  |  |  |  |  |",1]
["| n | a(n)2 | a(n)3 | a(n)4 | a(n)5 | a(n)6 | a(n)7 | a(n)8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 2 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 3 | 4 | 5 | 5 | 5 | 5 | 5 |\n| 5 | 4 | 6 | 7 | 8 | 8 | 8 | 8 |\n| 6 | 5 | 8 | 10 | 11 | 12 | 12 | 12 |\n| 7 | 7 | 12 | 15 | 17 | 18 | 19 | 19 |\n| 8 | 9 | 17 | 22 | 25 | 27 | 28 | 29 |\n| 9 | 13 | 25 | 33 | 38 | 41 | 43 | 44 |\n| 10 | 18 | 37 | 49 | 57 | 62 | 65 | 67 |\n| 11 | 25 | 53 | 72 | 84 | 92 | 97 | 100 |\n| 12 | 34 | 76 | 105 | 124 | 136 | 144 | 149 |\n| 13 | 48 | 109 | 153 | 182 | 201 | 213 | 221 |\n| 14 | 67 | 159 | 224 | 268 | 297 | 316 | 328 |\n| 15 | 97 | 231 | 330 | 395 | 439 | 468 | 487 |\n| 16 | 134 | 336 | 483 | 582 | 647 | 691 | 720 |\n| 17 | 191 | 485 | 708 | 807 | 906 | 1053 | 1097 |\n| 18 | 258 | 690 | 1017 | 1164 | 1263 | 1362 | 1427 |\n| 19 | 374 | 998 |  |  |  |  |  |","| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |\n| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["|  | L1D | L1I | L2 | L3 |\n| --- | --- | --- | --- | --- |\n| Type | WB | WB | WB | MESICoherent |\n| Size | 32KB | 32KB | 256KB | 12MB |","| LineSize | 64 | 64 | 64 | 64 |\n| --- | --- | --- | --- | --- |\n| Associative | 8 | 4 | 8 | 16 |\n| Latency | 4 | 2 | 6 | 27 |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",1]
["|  | L1D | L1I | L2 | L3 |\n| --- | --- | --- | --- | --- |\n| Type | WB | WB | WB | MESICoherent |\n| Size | 32KB | 32KB | 256KB | 12MB |","|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |\n| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |\n| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |\n| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |\n| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["|  | L1D | L1I | L2 | L3 |\n| --- | --- | --- | --- | --- |\n| Type | WB | WB | WB | MESICoherent |","| Size | 32KB | 32KB | 256KB | 12MB |\n| --- | --- | --- | --- | --- |\n| LineSize | 64 | 64 | 64 | 64 |\n| Associative | 8 | 4 | 8 | 16 |\n| Latency | 4 | 2 | 6 | 27 |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",1]
["|  | L1D | L1I | L2 | L3 |\n| --- | --- | --- | --- | --- |\n| Type | WB | WB | WB | MESICoherent |","| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["| Parameters | g | f |\n| --- | --- | --- |\n| [40,9,21] | 222<br>aa00a1aa10a1 | 2<br>a0000aa01 |\n| [40,10,20] | aaa01a0aa11 | aaa00a1aa1 |\n| [40,11,19] | a10aaaa1a1 | a11aa100a01 |\n| [40,12,18] | 101a00aa1 | 1a100aaaaaa1 |\n| [40,14,16] | 10a1a01 | 11aaaa011 |\n| [40,16,15] | 10001 | aa0a01011a1a0a |\n| [40,17,14] | a1a1 | aa1a10a0a0aaa0a11 |\n| [44,12,20] | 11111aa11a1 | a000aaaa0aa1 |\n| [48,11,24] | 1aa1a0aa100101 | aaaaa1a10a1 |\n| [48,12,23] | a110a1aa11aa1 | 1a0110010a11 |\n| [48,13,22] | aaa00a100111 | 0001a0aaaaaa1 |\n| [48,14,21] | 11aaa10a101 | 1a11010a1aaa11 |\n| [48,15,20] | aa01a1a111 | 1aaaaaaa0aa1a11 |","| [48,16,19] | a00101aa1 | aa0a1a1aa1aaaaa1 |\n| --- | --- | --- |\n| [52,13,24] | aaaa10a1a11aa1 | aa11aa1aaaa11 |\n| [60,11,32] | aaaaaa11aa110000aa11 | aaaa0aaa1a1 |\n| [60,14,28] | 11aa11aaaaaaaaaa1 | a0aa0a110a1011 |",1]
["| Parameters | g | f |\n| --- | --- | --- |\n| [40,9,21] | 222<br>aa00a1aa10a1 | 2<br>a0000aa01 |\n| [40,10,20] | aaa01a0aa11 | aaa00a1aa1 |\n| [40,11,19] | a10aaaa1a1 | a11aa100a01 |\n| [40,12,18] | 101a00aa1 | 1a100aaaaaa1 |\n| [40,14,16] | 10a1a01 | 11aaaa011 |\n| [40,16,15] | 10001 | aa0a01011a1a0a |\n| [40,17,14] | a1a1 | aa1a10a0a0aaa0a11 |\n| [44,12,20] | 11111aa11a1 | a000aaaa0aa1 |\n| [48,11,24] | 1aa1a0aa100101 | aaaaa1a10a1 |\n| [48,12,23] | a110a1aa11aa1 | 1a0110010a11 |\n| [48,13,22] | aaa00a100111 | 0001a0aaaaaa1 |\n| [48,14,21] | 11aaa10a101 | 1a11010a1aaa11 |\n| [48,15,20] | aa01a1a111 | 1aaaaaaa0aa1a11 |","|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| Parameters | g | f |\n| --- | --- | --- |\n| [40,9,21] | 222<br>aa00a1aa10a1 | 2<br>a0000aa01 |\n| [40,10,20] | aaa01a0aa11 | aaa00a1aa1 |\n| [40,11,19] | a10aaaa1a1 | a11aa100a01 |","| [40,12,18] | 101a00aa1 | 1a100aaaaaa1 |\n| --- | --- | --- |\n| [40,14,16] | 10a1a01 | 11aaaa011 |\n| [40,16,15] | 10001 | aa0a01011a1a0a |\n| [40,17,14] | a1a1 | aa1a10a0a0aaa0a11 |\n| [44,12,20] | 11111aa11a1 | a000aaaa0aa1 |\n| [48,11,24] | 1aa1a0aa100101 | aaaaa1a10a1 |\n| [48,12,23] | a110a1aa11aa1 | 1a0110010a11 |\n| [48,13,22] | aaa00a100111 | 0001a0aaaaaa1 |\n| [48,14,21] | 11aaa10a101 | 1a11010a1aaa11 |\n| [48,15,20] | aa01a1a111 | 1aaaaaaa0aa1a11 |\n| [48,16,19] | a00101aa1 | aa0a1a1aa1aaaaa1 |\n| [52,13,24] | aaaa10a1a11aa1 | aa11aa1aaaa11 |\n| [60,11,32] | aaaaaa11aa110000aa11 | aaaa0aaa1a1 |\n| [60,14,28] | 11aa11aaaaaaaaaa1 | a0aa0a110a1011 |",1]
["| Parameters | g | f |\n| --- | --- | --- |\n| [40,9,21] | 222<br>aa00a1aa10a1 | 2<br>a0000aa01 |\n| [40,10,20] | aaa01a0aa11 | aaa00a1aa1 |\n| [40,11,19] | a10aaaa1a1 | a11aa100a01 |","| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| Benchmark | Conﬁguration | Executiontime(s) |\n| --- | --- | --- |\n| ClassA |  |  |\n| Crypt | vectorsize:3000000 | 0,225 |\n| LUFact | matrixsize:500 | 0,091 |\n| Series | Numberofcoeﬃcients:10000 | 10,054 |\n| SOR | matrixsize:1000 | 0,885 |\n| SparseMatMult | matrixsize:50000 | 0,665 |\n| ClassB |  |  |\n| Crypt | vectorsize:20000000 | 1,341 |\n| LUFact | matrixsize:1000 | 0,778 |\n| Series | Numberofcoeﬃcients:100000 | 102,973 |\n| SOR | matrixsize:1500 | 2,021 |\n| SparseMatMult | matrixsize:100000 | 1,744 |\n| ClassC |  |  |\n| Crypt | vectorsize:50000000 | 3,340 |\n| LUFact | matrixsize:2000 | 9,181 |\n| Series | Numberofcoeﬃcients:1000000 | 1669,133 |","| SOR | matrixsize:2000 | 3,432 |\n| --- | --- | --- |\n| SparseMatMult | matrixsize:500000 | 19,448 |",1]
["| Benchmark | Conﬁguration | Executiontime(s) |\n| --- | --- | --- |\n| ClassA |  |  |\n| Crypt | vectorsize:3000000 | 0,225 |\n| LUFact | matrixsize:500 | 0,091 |\n| Series | Numberofcoeﬃcients:10000 | 10,054 |\n| SOR | matrixsize:1000 | 0,885 |\n| SparseMatMult | matrixsize:50000 | 0,665 |\n| ClassB |  |  |\n| Crypt | vectorsize:20000000 | 1,341 |\n| LUFact | matrixsize:1000 | 0,778 |\n| Series | Numberofcoeﬃcients:100000 | 102,973 |\n| SOR | matrixsize:1500 | 2,021 |\n| SparseMatMult | matrixsize:100000 | 1,744 |\n| ClassC |  |  |\n| Crypt | vectorsize:50000000 | 3,340 |\n| LUFact | matrixsize:2000 | 9,181 |\n| Series | Numberofcoeﬃcients:1000000 | 1669,133 |","| Benchmark | Numberofannotations | ExtraLoC |\n| --- | --- | --- |\n| Crypt | 2 | 1 |\n| LUFact | 1 | 3 |\n| Series | 1 | 3 |\n| SOR | 2 | 1 |\n| SparseMatMult | 3 | 50 |",0]
["| Benchmark | Conﬁguration | Executiontime(s) |\n| --- | --- | --- |\n| ClassA |  |  |\n| Crypt | vectorsize:3000000 | 0,225 |\n| LUFact | matrixsize:500 | 0,091 |","| Series | Numberofcoeﬃcients:10000 | 10,054 |\n| --- | --- | --- |\n| SOR | matrixsize:1000 | 0,885 |\n| SparseMatMult | matrixsize:50000 | 0,665 |\n| ClassB |  |  |\n| Crypt | vectorsize:20000000 | 1,341 |\n| LUFact | matrixsize:1000 | 0,778 |\n| Series | Numberofcoeﬃcients:100000 | 102,973 |\n| SOR | matrixsize:1500 | 2,021 |\n| SparseMatMult | matrixsize:100000 | 1,744 |\n| ClassC |  |  |\n| Crypt | vectorsize:50000000 | 3,340 |\n| LUFact | matrixsize:2000 | 9,181 |\n| Series | Numberofcoeﬃcients:1000000 | 1669,133 |\n| SOR | matrixsize:2000 | 3,432 |\n| SparseMatMult | matrixsize:500000 | 19,448 |",1]
["| Benchmark | Conﬁguration | Executiontime(s) |\n| --- | --- | --- |\n| ClassA |  |  |\n| Crypt | vectorsize:3000000 | 0,225 |\n| LUFact | matrixsize:500 | 0,091 |","| LUFact | 1 | 3 |\n| --- | --- | --- |\n| Series | 1 | 3 |\n| SOR | 2 | 1 |\n| SparseMatMult | 3 | 50 |",0]
["| Methods | WordSim-353 | Rel-122 | MC |\n| --- | --- | --- | --- |\n| SkipGram | 59.89 | 49.14 | 63.96 |","| MSSG<br>NP-MSSG | 63.2<br>62.4 | -<br>- | -<br>- |\n| --- | --- | --- | --- |\n| GSG-S<br>GSG-D | 62.03<br>61.00 | 51.09<br>53.54 | 69.17<br>68.50 |\n| GMSG<br>D-GMSG | 67.8<br>56.3 | 57.3<br>47.1 | 77.3<br>47.3 |",1]
["| Methods | WordSim-353 | Rel-122 | MC |\n| --- | --- | --- | --- |\n| SkipGram | 59.89 | 49.14 | 63.96 |","| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 24 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 28 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |",0]
["| Methods | WordSim-353 | Rel-122 | MC |\n| --- | --- | --- | --- |\n| SkipGram | 59.89 | 49.14 | 63.96 |","| MSSG<br>NP-MSSG | 63.2<br>62.4 | -<br>- | -<br>- |\n| --- | --- | --- | --- |\n| GSG-S<br>GSG-D | 62.03<br>61.00 | 51.09<br>53.54 | 69.17<br>68.50 |\n| GMSG<br>D-GMSG | 67.8<br>56.3 | 57.3<br>47.1 | 77.3<br>47.3 |",1]
["| Methods | WordSim-353 | Rel-122 | MC |\n| --- | --- | --- | --- |\n| SkipGram | 59.89 | 49.14 | 63.96 |","| 20 | Mean<br>Min<br>Max |\n| --- | --- |\n| 24 | Mean<br>Min<br>Max |\n| 28 | Mean<br>Min<br>Max |",0]
["| GraphicalEGT | SocialNetwork |\n| --- | --- |\n| Graphstructure | Socialnetworktopology |\n| Players | Usersinthesocialnetwork |\n| Strategy | S:forwardtheinformationf<br>S:notforwardtheinformationn |","| Fitness | Utilityfromforwardingornot |\n| --- | --- |\n| ESS | Stableinformationdiﬀusionstate |",1]
["| GraphicalEGT | SocialNetwork |\n| --- | --- |\n| Graphstructure | Socialnetworktopology |\n| Players | Usersinthesocialnetwork |\n| Strategy | S:forwardtheinformationf<br>S:notforwardtheinformationn |","| Network | Type | \\|V\\| | \\|E\\| | diameter | radius | δ4−point |\n| --- | --- | --- | --- | --- | --- | --- |\n| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |\n| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |\n| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",0]
["| GraphicalEGT | SocialNetwork |\n| --- | --- |\n| Graphstructure | Socialnetworktopology |\n| Players | Usersinthesocialnetwork |\n| Strategy | S:forwardtheinformationf<br>S:notforwardtheinformationn |","| Fitness | Utilityfromforwardingornot |\n| --- | --- |\n| ESS | Stableinformationdiﬀusionstate |",1]
["| GraphicalEGT | SocialNetwork |\n| --- | --- |\n| Graphstructure | Socialnetworktopology |\n| Players | Usersinthesocialnetwork |\n| Strategy | S:forwardtheinformationf<br>S:notforwardtheinformationn |","| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",0]
["| Wiki-KBP |\n| --- |\n| 225977 |\n| 100521 |","| 32008 |\n| --- |\n| 30559 |",1]
["| Wiki-KBP |\n| --- |\n| 225977 |\n| 100521 |","| Name | NumberofEdges | NumberofTriangles |\n| --- | --- | --- |\n| cit-HepTh-dates | 38488 | 1418 |\n| wiki-Vote | 201524 | 608389 |\n| email-Enron | 367662 | 727044 |\n| soc-sign-epinions | 1422420 | 4910076 |\n| ﬂickrEdges | 4633896 | 107987357 |\n| web-Google | 8644102 | 13391903 |\n| cit-Patents | 33037894 | 7515023 |",0]
["| Wiki-KBP |\n| --- |\n| 225977 |\n| 100521 |","| 32008 |\n| --- |\n| 30559 |",1]
["| Wiki-KBP |\n| --- |\n| 225977 |\n| 100521 |","| email-Enron | 367662 | 727044 |\n| --- | --- | --- |\n| soc-sign-epinions | 1422420 | 4910076 |\n| ﬂickrEdges | 4633896 | 107987357 |\n| web-Google | 8644102 | 13391903 |\n| cit-Patents | 33037894 | 7515023 |",0]
["| Emb. | Method | BLEU1METEORROUGECIDEr |\n| --- | --- | --- |\n| Tag<br>Tag<br>Tag<br>Tag | AtM<br>HM<br>AM<br>JM | 22.48.622.520.8<br>24.410.824.355.0<br>24.410.623.949.4<br>22.210.522.850.1 |","| PlaceCNN<br>PlaceCNN<br>PlaceCNN<br>PlaceCNN | AtM<br>HM<br>AM<br>JM | 24.410.324.051.8<br>24.010.424.349.8<br>24.110.624.351.5<br>25.710.824.556.1 |\n| --- | --- | --- |\n| Diﬀ.Img<br>Diﬀ.Img<br>Diﬀ.Img<br>Diﬀ.Img | AtM<br>HM<br>AM<br>JM | 20.58.524.419.2<br>23.68.622.322.0<br>20.68.524.419.2<br>30.411.722.322.8 |\n| MDN<br>MDN<br>MDN<br>MDN(Ours) | AtM<br>HM<br>AM<br>JM | 22.48.824.622.4<br>26.612.830.131.4<br>29.615.432.841.6<br>36.023.441.850.7 |",1]
["| Emb. | Method | BLEU1METEORROUGECIDEr |\n| --- | --- | --- |\n| Tag<br>Tag<br>Tag<br>Tag | AtM<br>HM<br>AM<br>JM | 22.48.622.520.8<br>24.410.824.355.0<br>24.410.623.949.4<br>22.210.522.850.1 |","| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |\n| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |\n| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",0]
["| Emb. | Method | BLEU1METEORROUGECIDEr |\n| --- | --- | --- |\n| Tag<br>Tag<br>Tag<br>Tag | AtM<br>HM<br>AM<br>JM | 22.48.622.520.8<br>24.410.824.355.0<br>24.410.623.949.4<br>22.210.522.850.1 |","| PlaceCNN<br>PlaceCNN<br>PlaceCNN<br>PlaceCNN | AtM<br>HM<br>AM<br>JM | 24.410.324.051.8<br>24.010.424.349.8<br>24.110.624.351.5<br>25.710.824.556.1 |\n| --- | --- | --- |\n| Diﬀ.Img<br>Diﬀ.Img<br>Diﬀ.Img<br>Diﬀ.Img | AtM<br>HM<br>AM<br>JM | 20.58.524.419.2<br>23.68.622.322.0<br>20.68.524.419.2<br>30.411.722.322.8 |\n| MDN<br>MDN<br>MDN<br>MDN(Ours) | AtM<br>HM<br>AM<br>JM | 22.48.824.622.4<br>26.612.830.131.4<br>29.615.432.841.6<br>36.023.441.850.7 |",1]
["| Emb. | Method | BLEU1METEORROUGECIDEr |\n| --- | --- | --- |\n| Tag<br>Tag<br>Tag<br>Tag | AtM<br>HM<br>AM<br>JM | 22.48.622.520.8<br>24.410.824.355.0<br>24.410.623.949.4<br>22.210.522.850.1 |","| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",0]
["| Layer | MNIST(forFigure??) | MNIST | CIFAR10/CIFAR10+ | CIFAR100 |\n| --- | --- | --- | --- | --- |\n| Conv0.x | [3×3,64]×1 | [3×3,64]×1 | [3×3,64]×1 | [3×3,96]×1 |\n| Conv1.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,64]×4 | [3×3,96]×4 |\n| Pool1 | 2×2Max,Stride2 |  |  |  |\n| Dropout1 | dropoutratiop |  |  |  |\n| Conv2.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,96]×4 | [3×3,192]×4 |","| Pool2 | 2×2Max,Stride2 |  |  |  |\n| --- | --- | --- | --- | --- |\n| Dropout2 | dropoutratiop |  |  |  |\n| Conv3.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,128]×4 | [3×3,384]×4 |\n| Pool3 | 2×2Max,Stride2 |  |  |  |\n| FC | 2 | 256 | 256 | 512 |",1]
["| Layer | MNIST(forFigure??) | MNIST | CIFAR10/CIFAR10+ | CIFAR100 |\n| --- | --- | --- | --- | --- |\n| Conv0.x | [3×3,64]×1 | [3×3,64]×1 | [3×3,64]×1 | [3×3,96]×1 |\n| Conv1.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,64]×4 | [3×3,96]×4 |\n| Pool1 | 2×2Max,Stride2 |  |  |  |\n| Dropout1 | dropoutratiop |  |  |  |\n| Conv2.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,96]×4 | [3×3,192]×4 |","| Layer | Support | Filtdim. | #ﬁlts. | Stride | Datasize |\n| --- | --- | --- | --- | --- | --- |\n| conv1 | 3×3 | 5 | 96 | 1×1 | 109×109 |\n| pool1 | 3×3 | - | - | 2×2 | 54×54 |\n| conv2 | 3×3 | 96 | 256 | 2×2 | 27×27 |\n| pool2 | 3×3 | - | - | 2×2 | 13×13 |\n| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["| Layer | MNIST(forFigure??) | MNIST | CIFAR10/CIFAR10+ | CIFAR100 |\n| --- | --- | --- | --- | --- |\n| Conv0.x | [3×3,64]×1 | [3×3,64]×1 | [3×3,64]×1 | [3×3,96]×1 |\n| Conv1.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,64]×4 | [3×3,96]×4 |\n| Pool1 | 2×2Max,Stride2 |  |  |  |\n| Dropout1 | dropoutratiop |  |  |  |\n| Conv2.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,96]×4 | [3×3,192]×4 |\n| Pool2 | 2×2Max,Stride2 |  |  |  |\n| Dropout2 | dropoutratiop |  |  |  |\n| Conv3.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,128]×4 | [3×3,384]×4 |","| Pool3 | 2×2Max,Stride2 |  |  |  |\n| --- | --- | --- | --- | --- |\n| FC | 2 | 256 | 256 | 512 |",1]
["| Layer | MNIST(forFigure??) | MNIST | CIFAR10/CIFAR10+ | CIFAR100 |\n| --- | --- | --- | --- | --- |\n| Conv0.x | [3×3,64]×1 | [3×3,64]×1 | [3×3,64]×1 | [3×3,96]×1 |\n| Conv1.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,64]×4 | [3×3,96]×4 |\n| Pool1 | 2×2Max,Stride2 |  |  |  |\n| Dropout1 | dropoutratiop |  |  |  |\n| Conv2.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,96]×4 | [3×3,192]×4 |\n| Pool2 | 2×2Max,Stride2 |  |  |  |\n| Dropout2 | dropoutratiop |  |  |  |\n| Conv3.x | [3×3,64]×3 | [3×3,64]×3 | [3×3,128]×4 | [3×3,384]×4 |","| conv3 | 3×3 | 256 | 512 | 1×1 | 13×13 |\n| --- | --- | --- | --- | --- | --- |\n| conv4 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| conv5 | 3×3 | 512 | 512 | 1×1 | 13×13 |\n| pool5 | 3×3 | - | - | 2×2 | 6×6 |\n| fc6 | 6×6 | 512 | 512 | - | 1×1 |",0]
["| Sequences |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bird1 | BlurBody | BlurCar1 | BlurCar3 | Car4 |\n| CarDark | CarScale | Couple | Dancer | Dancer2 |","| David3 | Diving | Dog | Girl2 | Gym |\n| --- | --- | --- | --- | --- |\n| Human2 | Human3 | Human6 | Human7 | Human8 |\n| Human9 | Jump | Singer1 | Singer2 | Skater |\n| Skater2 | Skating1 | Suv | Walking2 | Woman |",1]
["| Sequences |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bird1 | BlurBody | BlurCar1 | BlurCar3 | Car4 |\n| CarDark | CarScale | Couple | Dancer | Dancer2 |","| Sequence | RCACF | CA | FCT | VTD | IVT | MIL | Struck |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Tiger2 | 86.85 | 28.49 | 72 | 13 | 19 | 44 | 62 |\n| Tiger1 | 100 | 90.14 | 52 | 78 | 8 | 34 | 87 |\n| Animal | 97.18 | 100 | 92 | 96 | 4 | 87 | 96 |\n| Jumping | 100 | 100 | 10 | 12 | 71 | 21 | 63 |\n| Cliﬀbar | 98.48 | 87.88 | 99 | 53 | 47 | 71 | 8 |\n| Woman | 22.39 | 17.91 | 11.6 | 14 | 17 | 15 | 67 |\n| Surfer | 80.32 | 98.14 | 70 | 64 | 24 | 71 | 61 |\n| Sylvester | 88.85 | 99.03 | 77 | 33 | 45 | 77 | 80 |\n| Cardark | 100 | 100 | 36 | 25 | 54 | 48 | 18 |\n| Faceocc1 | 100 | 100 | 43.4 | 80 | 74 | 60 | 82 |\n| Faceocc2 | 100 | 100 | 99 | 70 | 66 | 62 | 70 |\n| Twinning | 94.68 | 100 | 98 | 54 | 42 | 60 | 77 |\n| Box | 60.94 | 45.49 | 28.7 | 15 | 30 | 14 | 61 |",0]
["| Sequences |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bird1 | BlurBody | BlurCar1 | BlurCar3 | Car4 |\n| CarDark | CarScale | Couple | Dancer | Dancer2 |","| David3 | Diving | Dog | Girl2 | Gym |\n| --- | --- | --- | --- | --- |\n| Human2 | Human3 | Human6 | Human7 | Human8 |\n| Human9 | Jump | Singer1 | Singer2 | Skater |\n| Skater2 | Skating1 | Suv | Walking2 | Woman |",1]
["| Sequences |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Bird1 | BlurBody | BlurCar1 | BlurCar3 | Car4 |\n| CarDark | CarScale | Couple | Dancer | Dancer2 |","| Faceocc2 | 100 | 100 | 99 | 70 | 66 | 62 | 70 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Twinning | 94.68 | 100 | 98 | 54 | 42 | 60 | 77 |\n| Box | 60.94 | 45.49 | 28.7 | 15 | 30 | 14 | 61 |",0]
["| Methods | Dims | Year | VEHICLEID | VERI-776 |\n| --- | --- | --- | --- | --- |\n| TripletLoss | 400 | 2015 | 0.373 | - |\n| SoftmaxLoss | 1024 | 2015 | 0.580 | 0.343 |\n| Triplet+SoftmaxLoss | 1024 | 2014 | 0.650 | 0.558 |\n| BOW-CN | 100 | 2015 | - | 0.122 |\n| CCLVGGM | 1024 | 2016 | 0.386 | - |\n| MixedDiﬀ+CCL | 1024 | 2016 | 0.455 | - |","| HDC+Contrastive | 384 | 2017 | 0.575 | - |\n| --- | --- | --- | --- | --- |\n| GSTE | 1024 | 2017 | 0.724 | 0.594 |",1]
["| Methods | Dims | Year | VEHICLEID | VERI-776 |\n| --- | --- | --- | --- | --- |\n| TripletLoss | 400 | 2015 | 0.373 | - |\n| SoftmaxLoss | 1024 | 2015 | 0.580 | 0.343 |\n| Triplet+SoftmaxLoss | 1024 | 2014 | 0.650 | 0.558 |\n| BOW-CN | 100 | 2015 | - | 0.122 |\n| CCLVGGM | 1024 | 2016 | 0.386 | - |\n| MixedDiﬀ+CCL | 1024 | 2016 | 0.455 | - |","| Dataset | Asia | Child | Alarm | Sachs | Insurance | Water | Win95pts | Hepar2 | Hailﬁnder |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dimension | 8 | 20 | 37 | 11 | 27 | 32 | 76 | 70 | 56 |\n| Avgcardinality | 2 | 3 | 2.84 | 3 | 3.30 | 3.63 | 2 | 2.31 | 3.98 |\n| Maxcardinality | 2 | 6 | 4 | 3 | 5 | 4 | 2 | 4 | 11 |\n| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",0]
["| Methods | Dims | Year | VEHICLEID | VERI-776 |\n| --- | --- | --- | --- | --- |\n| TripletLoss | 400 | 2015 | 0.373 | - |","| SoftmaxLoss | 1024 | 2015 | 0.580 | 0.343 |\n| --- | --- | --- | --- | --- |\n| Triplet+SoftmaxLoss | 1024 | 2014 | 0.650 | 0.558 |\n| BOW-CN | 100 | 2015 | - | 0.122 |\n| CCLVGGM | 1024 | 2016 | 0.386 | - |\n| MixedDiﬀ+CCL | 1024 | 2016 | 0.455 | - |\n| HDC+Contrastive | 384 | 2017 | 0.575 | - |\n| GSTE | 1024 | 2017 | 0.724 | 0.594 |",1]
["| Methods | Dims | Year | VEHICLEID | VERI-776 |\n| --- | --- | --- | --- | --- |\n| TripletLoss | 400 | 2015 | 0.373 | - |","| Avgdegree | 2 | 2.5 | 2.49 | 3.09 | 3.85 | 4.12 | 2.95 | 3.51 | 2.36 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maxin-degree | 2 | 2 | 4 | 3 | 3 | 5 | 7 | 6 | 4 |",0]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.4867 | 0.3818 | 0.4375 | 0.5297 |","| 0.07 | 0.7202 | 0.6639 | 0.6985 | 0.7595 |\n| --- | --- | --- | --- | --- |\n| 0.09 | 0.7984 | 0.7683 | 0.7633 | 0.7975 |\n| 0.11 | 0.8344 | 0.8199 | 0.8000 | 0.8312 |\n| 0.13 | 0.8548 | 0.8554 | 0.8163 | 0.8481 |\n| 0.15 | 0.8589 | 0.8595 | 0.8353 | 0.8608 |",1]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.4867 | 0.3818 | 0.4375 | 0.5297 |","| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.2168 | 0.197 | 0.2051 | 0.1597 |\n| 0.07 | 0.5094 | 0.5067 | 0.2983 | 0.2811 |\n| 0.09 | 0.7728 | 0.7439 | 0.3306 | 0.3819 |\n| 0.11 | 0.8720 | 0.8463 | 0.3878 | 0.4785 |\n| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |\n| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 |",0]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.4867 | 0.3818 | 0.4375 | 0.5297 |\n| 0.07 | 0.7202 | 0.6639 | 0.6985 | 0.7595 |\n| 0.09 | 0.7984 | 0.7683 | 0.7633 | 0.7975 |","| 0.11 | 0.8344 | 0.8199 | 0.8000 | 0.8312 |\n| --- | --- | --- | --- | --- |\n| 0.13 | 0.8548 | 0.8554 | 0.8163 | 0.8481 |\n| 0.15 | 0.8589 | 0.8595 | 0.8353 | 0.8608 |",1]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.4867 | 0.3818 | 0.4375 | 0.5297 |\n| 0.07 | 0.7202 | 0.6639 | 0.6985 | 0.7595 |\n| 0.09 | 0.7984 | 0.7683 | 0.7633 | 0.7975 |","| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |\n| --- | --- | --- | --- | --- |\n| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 |",0]
["| Dataset | logβ | α | τ |\n| --- | --- | --- | --- |\n| N=50 |  |  |  |\n| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |","| BP | 0.93(0.12) | 0.08(0.04) | 0.92(0.00) |\n| --- | --- | --- | --- |\n| MN | 1.66(0.16) | 0.03(0.01) | 0.72(0.04) |\n| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |\n| N=5000 |  |  |  |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",1]
["| Dataset | logβ | α | τ |\n| --- | --- | --- | --- |\n| N=50 |  |  |  |\n| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |","| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Dataset | logβ | α | τ |\n| --- | --- | --- | --- |\n| N=50 |  |  |  |\n| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |\n| BP | 0.93(0.12) | 0.08(0.04) | 0.92(0.00) |\n| MN | 1.66(0.16) | 0.03(0.01) | 0.72(0.04) |\n| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |","| N=5000 |  |  |  |\n| --- | --- | --- | --- |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",1]
["| Dataset | logβ | α | τ |\n| --- | --- | --- | --- |\n| N=50 |  |  |  |\n| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |\n| BP | 0.93(0.12) | 0.08(0.04) | 0.92(0.00) |\n| MN | 1.66(0.16) | 0.03(0.01) | 0.72(0.04) |\n| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |","| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Method | TestEnvironments |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BUS | CAFE | PED | STRT | Avg. |  |\n| DevelopmentSet |  |  |  |  |  |\n| Ch5 | 18.14 | 10.72 | 7.73 | 11.28 | 11.97 |\n| MVDR | 15.39 | 11.36 | 10.43 | 13.01 | 12.55 |\n| MVDR(noch2) | 13.94 | 10.16 | 9.68 | 12.12 | 11.48 |\n| Select-ML | 15.26 | 11.71 | 7.71 | 11.25 | 11.48 |\n| Select-AE | 16.30 | 10.81 | 7.49 | 11.93 | 11.63 |","| Weight-Sum | 11.18 | 14.23 | 8.63 | 9.48 | 10.88 |\n| --- | --- | --- | --- | --- | --- |\n| Weight-Jacobian | 13.66 | 10.38 | 6.53 | 9.29 | 9.97 |\n| Evaluationset |  |  |  |  |  |\n| Ch5 | 29.56 | 22.43 | 16.95 | 13.63 | 20.64 |\n| MVDR | 28.10 | 24.45 | 19.39 | 15.71 | 21.91 |\n| MVDR(noch2) | 22.40 | 19.26 | 15.19 | 14.48 | 17.83 |\n| Select-ML | 29.63 | 22.23 | 17.58 | 14.51 | 20.99 |\n| Select-AE | 28.47 | 22.15 | 16.61 | 14.15 | 20.35 |\n| Weight-Sum | 26.55 | 19.56 | 15.58 | 14.05 | 18.94 |\n| Weight-Jacobian | 25.80 | 18.68 | 14.09 | 12.40 | 17.74 |",1]
["| Method | TestEnvironments |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BUS | CAFE | PED | STRT | Avg. |  |\n| DevelopmentSet |  |  |  |  |  |\n| Ch5 | 18.14 | 10.72 | 7.73 | 11.28 | 11.97 |\n| MVDR | 15.39 | 11.36 | 10.43 | 13.01 | 12.55 |\n| MVDR(noch2) | 13.94 | 10.16 | 9.68 | 12.12 | 11.48 |\n| Select-ML | 15.26 | 11.71 | 7.71 | 11.25 | 11.48 |\n| Select-AE | 16.30 | 10.81 | 7.49 | 11.93 | 11.63 |","| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Method | TestEnvironments |  |  |  |\n| --- | --- | --- | --- | --- |\n| BUS | CAFE | PED | STRT | Avg. |","| DevelopmentSet |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Ch5 | 18.14 | 10.72 | 7.73 | 11.28 | 11.97 |\n| MVDR | 15.39 | 11.36 | 10.43 | 13.01 | 12.55 |\n| MVDR(noch2) | 13.94 | 10.16 | 9.68 | 12.12 | 11.48 |\n| Select-ML | 15.26 | 11.71 | 7.71 | 11.25 | 11.48 |\n| Select-AE | 16.30 | 10.81 | 7.49 | 11.93 | 11.63 |\n| Weight-Sum | 11.18 | 14.23 | 8.63 | 9.48 | 10.88 |\n| Weight-Jacobian | 13.66 | 10.38 | 6.53 | 9.29 | 9.97 |\n| Evaluationset |  |  |  |  |  |\n| Ch5 | 29.56 | 22.43 | 16.95 | 13.63 | 20.64 |\n| MVDR | 28.10 | 24.45 | 19.39 | 15.71 | 21.91 |\n| MVDR(noch2) | 22.40 | 19.26 | 15.19 | 14.48 | 17.83 |\n| Select-ML | 29.63 | 22.23 | 17.58 | 14.51 | 20.99 |\n| Select-AE | 28.47 | 22.15 | 16.61 | 14.15 | 20.35 |\n| Weight-Sum | 26.55 | 19.56 | 15.58 | 14.05 | 18.94 |\n| Weight-Jacobian | 25.80 | 18.68 | 14.09 | 12.40 | 17.74 |",1]
["| Method | TestEnvironments |  |  |  |\n| --- | --- | --- | --- | --- |\n| BUS | CAFE | PED | STRT | Avg. |","| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| WeighCov | PolySim |  |\n| --- | --- | --- |\n| FCN | 0.46 | 0.32 |\n| ResNet | 0.40 | 0.29 |","| DWT,raw()RW | 0.42 | 0.20 |\n| --- | --- | --- |\n| DWT,postproc.()PP | 0.52 | 0.24 |\n| DSAC(init.:train/test)RWRW | 0.55 | 0.26 |\n| DSAC(init.:train/test)PPPP | 0.57 | 0.26 |\n| DSAC(init.:train/test)RWPP | 0.58 | 0.27 |",1]
["| WeighCov | PolySim |  |\n| --- | --- | --- |\n| FCN | 0.46 | 0.32 |\n| ResNet | 0.40 | 0.29 |","| Trainingexamples<br>perbin | TrainRMSE<br>PCAIPCAPPCASPCA | TestRMSE<br>PCAIPCAPPCASPCA |\n| --- | --- | --- |\n| 2 | 0.2580.0000.1012.624 | 2.0482.9802.3332.741 |\n| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |\n| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |\n| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 |",0]
["| WeighCov | PolySim |  |\n| --- | --- | --- |\n| FCN | 0.46 | 0.32 |\n| ResNet | 0.40 | 0.29 |","| DWT,raw()RW | 0.42 | 0.20 |\n| --- | --- | --- |\n| DWT,postproc.()PP | 0.52 | 0.24 |\n| DSAC(init.:train/test)RWRW | 0.55 | 0.26 |\n| DSAC(init.:train/test)PPPP | 0.57 | 0.26 |\n| DSAC(init.:train/test)RWPP | 0.58 | 0.27 |",1]
["| WeighCov | PolySim |  |\n| --- | --- | --- |\n| FCN | 0.46 | 0.32 |\n| ResNet | 0.40 | 0.29 |","| 10 | 1.5250.6441.3782.200 | 1.7532.0051.7772.023 |\n| --- | --- | --- |\n| 20 | 1.6301.2621.5862.079 | 1.6811.8551.6911.921 |\n| 30 | 1.6271.3861.5971.850 | 1.6521.7741.6551.754 |",0]
["| Service | #adopters | #usages |\n| --- | --- | --- |\n| Bitly | 55,883 | 5,046,710 |","| TinyURL | 46,577 | 1,682,459 |\n| --- | --- | --- |\n| Isgd | 28,050 | 596,895 |\n| TwURL | 15,215 | 197,568 |\n| SnURL | 4,462 | 41,823 |\n| Doiop | 88 | 643 |",1]
["| Service | #adopters | #usages |\n| --- | --- | --- |\n| Bitly | 55,883 | 5,046,710 |","| Domain | Count |\n| --- | --- |\n| tinyurl.com | 1,179,369 |\n| google.com | 562,557 |\n| bit.ly | 328,016 |\n| dietagolder670.ru | 54,585 |\n| goroskopsiris2346.ru | 54,414 |\n| dietagoliu4758.ru | 52,992 |\n| dietaseru858.ru | 51,894 |",0]
["| Service | #adopters | #usages |\n| --- | --- | --- |\n| Bitly | 55,883 | 5,046,710 |\n| TinyURL | 46,577 | 1,682,459 |\n| Isgd | 28,050 | 596,895 |","| TwURL | 15,215 | 197,568 |\n| --- | --- | --- |\n| SnURL | 4,462 | 41,823 |\n| Doiop | 88 | 643 |",1]
["| Service | #adopters | #usages |\n| --- | --- | --- |\n| Bitly | 55,883 | 5,046,710 |\n| TinyURL | 46,577 | 1,682,459 |\n| Isgd | 28,050 | 596,895 |","| dietagoliu4758.ru | 52,992 |\n| --- | --- |\n| dietaseru858.ru | 51,894 |",0]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Seismic | 0.90 | 0.87 | 0.89 |\n| SeismicReduced | 0.89 | 0.86 | 0.88 |\n| Visual | 0.82 | 0.89 | 0.86 |","| VisualReduced | 0.78 | 0.89 | 0.83 |\n| --- | --- | --- | --- |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",1]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Seismic | 0.90 | 0.87 | 0.89 |\n| SeismicReduced | 0.89 | 0.86 | 0.88 |\n| Visual | 0.82 | 0.89 | 0.86 |","| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| AverageFusion | 0.90 | 0.92 | 0.91 |\n| DempsterShaferFusion | 0.93 | 0.95 | 0.94 |\n| Concatenation-FC | 0.91 | 0.89 | 0.90 |\n| OP-Concatenation | 0.93 | 0.90 | 0.91 |\n| OrderlessBilinear | 0.87 | 0.90 | 0.88 |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",0]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Seismic | 0.90 | 0.87 | 0.89 |","| SeismicReduced | 0.89 | 0.86 | 0.88 |\n| --- | --- | --- | --- |\n| Visual | 0.82 | 0.89 | 0.86 |\n| VisualReduced | 0.78 | 0.89 | 0.83 |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",1]
["| Model | Recall | Precision | F1-Score |\n| --- | --- | --- | --- |\n| Seismic | 0.90 | 0.87 | 0.89 |","| OrderlessBilinear | 0.87 | 0.90 | 0.88 |\n| --- | --- | --- | --- |\n| OP-BilinearFusion | 0.97 | 0.96 | 0.96 |",0]
["| Queries | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #joinsLM | 1 | 4 | 0 | 2 | 5 | 2 | 3 | 5 |","| #joinsSAM | 3 | 24 | 0 | 18 | 90 | 5 | 45 | 180 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #unionLM | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| #unionSAM | 2 | 5 | 2 | 8 | 17 | 1 | 14 | 29 |",1]
["| Queries | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #joinsLM | 1 | 4 | 0 | 2 | 5 | 2 | 3 | 5 |","| Query | MEM1 | MEM2 | MEM3 |\n| --- | --- | --- | --- |\n| NG1 | 446 | 1757 | 7057 |\n| NG2 | 3 | 6 | 13 |\n| NG3 | 52 | 105 | 203 |\n| NG4 | 0 | 0 | 0 |\n| NG5 | 27 | 104 | 465 |\n| NG6 | 434 | 1666 | 6974 |\n| NG7 | 11 | 22 | 46 |\n| NG8 | 53 | 100 | 202 |\n| NG11 | 533 | 1773 | 7208 |\n| NG12 | 12 | 23 | 61 |\n| NG13 | 53 | 109 | 220 |\n| NG14 | 446 | 1774 | 7106 |\n| NG15 | 454 | 1869 | 7367 |\n| NG16 | 12 | 28 | 49 |\n| NG17 | 55 | 135 | 227 |",0]
["| Queries | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #joinsLM | 1 | 4 | 0 | 2 | 5 | 2 | 3 | 5 |\n| #joinsSAM | 3 | 24 | 0 | 18 | 90 | 5 | 45 | 180 |","| #unionLM | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #unionSAM | 2 | 5 | 2 | 8 | 17 | 1 | 14 | 29 |",1]
["| Queries | Q1 | Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #joinsLM | 1 | 4 | 0 | 2 | 5 | 2 | 3 | 5 |\n| #joinsSAM | 3 | 24 | 0 | 18 | 90 | 5 | 45 | 180 |","| NG2 | 3 | 6 | 13 |\n| --- | --- | --- | --- |\n| NG3 | 52 | 105 | 203 |\n| NG4 | 0 | 0 | 0 |\n| NG5 | 27 | 104 | 465 |\n| NG6 | 434 | 1666 | 6974 |\n| NG7 | 11 | 22 | 46 |\n| NG8 | 53 | 100 | 202 |\n| NG11 | 533 | 1773 | 7208 |\n| NG12 | 12 | 23 | 61 |\n| NG13 | 53 | 109 | 220 |\n| NG14 | 446 | 1774 | 7106 |\n| NG15 | 454 | 1869 | 7367 |\n| NG16 | 12 | 28 | 49 |\n| NG17 | 55 | 135 | 227 |",0]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |","| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",1]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |","| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |\n| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |\n| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",0]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |","| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",1]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |","| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |\n| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",0]
["|  | Item | GroundTruthDescription | GeneratedDescription |\n| --- | --- | --- | --- |\n| Matches | Q20538915<br>Q10592904<br>Q669081<br>Q23588047 | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus |\n| Semanticdrift | Q1777131<br>Q16164685<br>Q849834<br>Q1434610 | albumbyHypocrisy<br>poloplayer<br>classof46electriclocomotives<br>1928ﬁlm | albumbyMandyMoore<br>waterpoloplayer<br>classof20british0-6-0tlocomotives<br>ﬁlmmaker |\n| Morespeciﬁc | Q1865706<br>Q19261036<br>Q7807066<br>Q10311160 | footballer<br>number<br>cricketer<br>Brazilianlawyer | Finnishfootballer<br>naturalnumber<br>Englishcricketer<br>Brazilianlawyerandpolitician |","| Moregeneral | Q149658<br>Q448330<br>Q4801958<br>Q7815530 | main-beltasteroid<br>Americanmusicianandpianist<br>2011Hindiﬁlm<br>SouthCarolinapolitician | asteroid<br>Americanmusician<br>Indianﬁlm<br>Americanpolitician |\n| --- | --- | --- | --- |\n| Alternative | Q7364988<br>Q1165984<br>Q6179770<br>Q17660616 | DeanofYork<br>cyclist<br>recipientoftheknight’scross<br>singer-songwriter | Britishacademic<br>Germanbicycleracer<br>Germangeneral<br>Canadianmusician |",1]
["|  | Item | GroundTruthDescription | GeneratedDescription |\n| --- | --- | --- | --- |\n| Matches | Q20538915<br>Q10592904<br>Q669081<br>Q23588047 | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus |\n| Semanticdrift | Q1777131<br>Q16164685<br>Q849834<br>Q1434610 | albumbyHypocrisy<br>poloplayer<br>classof46electriclocomotives<br>1928ﬁlm | albumbyMandyMoore<br>waterpoloplayer<br>classof20british0-6-0tlocomotives<br>ﬁlmmaker |\n| Morespeciﬁc | Q1865706<br>Q19261036<br>Q7807066<br>Q10311160 | footballer<br>number<br>cricketer<br>Brazilianlawyer | Finnishfootballer<br>naturalnumber<br>Englishcricketer<br>Brazilianlawyerandpolitician |","| Domain | Proﬁle | Attribute | Training | Testing |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DogFood(DS) | Title | Flavor | 470 | 876 | 493 | 602 |\n| DogFood | Title<br>Desc<br>Bullet<br>Title<br>Title<br>Title | Flavor<br>Flavor<br>Flavor<br>Brand<br>Capacity<br>Multi | 470<br>450<br>800<br>470<br>470<br>470 | 716<br>569<br>1481<br>480<br>428<br>1775 | 493<br>377<br>627<br>497<br>497<br>497 | 762<br>354<br>1179<br>607<br>433<br>1632 |\n| Camera | Title | Brand | 210 | 210 | 211 | 211 |\n| Detergent | Title | Scent | 500 | 487 | 500 | 484 |",0]
["|  | Item | GroundTruthDescription | GeneratedDescription |\n| --- | --- | --- | --- |\n| Matches | Q20538915<br>Q10592904<br>Q669081<br>Q23588047 | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus |\n| Semanticdrift | Q1777131<br>Q16164685<br>Q849834<br>Q1434610 | albumbyHypocrisy<br>poloplayer<br>classof46electriclocomotives<br>1928ﬁlm | albumbyMandyMoore<br>waterpoloplayer<br>classof20british0-6-0tlocomotives<br>ﬁlmmaker |","| Morespeciﬁc | Q1865706<br>Q19261036<br>Q7807066<br>Q10311160 | footballer<br>number<br>cricketer<br>Brazilianlawyer | Finnishfootballer<br>naturalnumber<br>Englishcricketer<br>Brazilianlawyerandpolitician |\n| --- | --- | --- | --- |\n| Moregeneral | Q149658<br>Q448330<br>Q4801958<br>Q7815530 | main-beltasteroid<br>Americanmusicianandpianist<br>2011Hindiﬁlm<br>SouthCarolinapolitician | asteroid<br>Americanmusician<br>Indianﬁlm<br>Americanpolitician |\n| Alternative | Q7364988<br>Q1165984<br>Q6179770<br>Q17660616 | DeanofYork<br>cyclist<br>recipientoftheknight’scross<br>singer-songwriter | Britishacademic<br>Germanbicycleracer<br>Germangeneral<br>Canadianmusician |",1]
["|  | Item | GroundTruthDescription | GeneratedDescription |\n| --- | --- | --- | --- |\n| Matches | Q20538915<br>Q10592904<br>Q669081<br>Q23588047 | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus | paintingbyClaudeMonet<br>genusoffungi<br>municipalityinAustria<br>microbialproteinfoundin<br>Mycobacteriumabscessus |\n| Semanticdrift | Q1777131<br>Q16164685<br>Q849834<br>Q1434610 | albumbyHypocrisy<br>poloplayer<br>classof46electriclocomotives<br>1928ﬁlm | albumbyMandyMoore<br>waterpoloplayer<br>classof20british0-6-0tlocomotives<br>ﬁlmmaker |","| DogFood | Title<br>Desc<br>Bullet<br>Title<br>Title<br>Title | Flavor<br>Flavor<br>Flavor<br>Brand<br>Capacity<br>Multi | 470<br>450<br>800<br>470<br>470<br>470 | 716<br>569<br>1481<br>480<br>428<br>1775 | 493<br>377<br>627<br>497<br>497<br>497 | 762<br>354<br>1179<br>607<br>433<br>1632 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Camera | Title | Brand | 210 | 210 | 211 | 211 |\n| Detergent | Title | Scent | 500 | 487 | 500 | 484 |",0]
["| Scoretype | Points |\n| --- | --- |\n| Goal | 3 |\n| Assist | 2 |\n| ShotonGoal | 0.5 |","| BlockedShot | 0.5 |\n| --- | --- |\n| ShortHandedPointBonus(Goal/Assist) | 1 |\n| ShootoutGoal | 0.2 |\n| HatTrickBonus | 1.5 |\n| Win(goalieonly) | 3 |\n| Save(goalieonly) | 0.2 |\n| Goalallowed(goalieonly) | -1 |\n| ShutoutBonus(goalieonly) | 2 |",1]
["| Scoretype | Points |\n| --- | --- |\n| Goal | 3 |\n| Assist | 2 |\n| ShotonGoal | 0.5 |","| Event | EM | SMKO |\n| --- | --- | --- |\n| Celebration | 0.60 | 0.62 |\n| Checking | 0.20 | 0.38 |\n| Endofperiod | 0.90 | 0.98 |\n| Fight | 0.74 | 0.85 |\n| Goal | 0.38 | 0.38 |\n| Penalty | 0.54 | 0.79 |\n| Shot | 0.46 | 0.30 |\n| Save | 0.60 | 0.46 |\n| Linechange | 0.68 | 0.78 |\n| Faceoﬀ | 0.78 | 0.86 |\n| Play | 0.93 | 0.95 |\n| AverageF1 | 0.62 | 0.67 |",0]
["| Scoretype | Points |\n| --- | --- |\n| Goal | 3 |\n| Assist | 2 |\n| ShotonGoal | 0.5 |","| BlockedShot | 0.5 |\n| --- | --- |\n| ShortHandedPointBonus(Goal/Assist) | 1 |\n| ShootoutGoal | 0.2 |\n| HatTrickBonus | 1.5 |\n| Win(goalieonly) | 3 |\n| Save(goalieonly) | 0.2 |\n| Goalallowed(goalieonly) | -1 |\n| ShutoutBonus(goalieonly) | 2 |",1]
["| Scoretype | Points |\n| --- | --- |\n| Goal | 3 |\n| Assist | 2 |\n| ShotonGoal | 0.5 |","| Checking | 0.20 | 0.38 |\n| --- | --- | --- |\n| Endofperiod | 0.90 | 0.98 |\n| Fight | 0.74 | 0.85 |\n| Goal | 0.38 | 0.38 |\n| Penalty | 0.54 | 0.79 |\n| Shot | 0.46 | 0.30 |\n| Save | 0.60 | 0.46 |\n| Linechange | 0.68 | 0.78 |\n| Faceoﬀ | 0.78 | 0.86 |\n| Play | 0.93 | 0.95 |\n| AverageF1 | 0.62 | 0.67 |",0]
["| γ(×10) | #Non-zeros | BudgetConsumed | u(×10)min |\n| --- | --- | --- | --- |\n| 0.6 | 1941 | 0.49 | 0.38 |","| 0.7 | 881 | 0.17 | 0.22 |\n| --- | --- | --- | --- |\n| 0.8 | 783 | 0.15 | 0.21 |\n| 0.9 | 349 | 0.09 | 0.16 |\n| 1.0 | 139 | 0.06 | 0.12 |\n| 1.1 | 102 | 0.04 | 0.11 |",1]
["| γ(×10) | #Non-zeros | BudgetConsumed | u(×10)min |\n| --- | --- | --- | --- |\n| 0.6 | 1941 | 0.49 | 0.38 |","| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["| γ(×10) | #Non-zeros | BudgetConsumed | u(×10)min |\n| --- | --- | --- | --- |\n| 0.6 | 1941 | 0.49 | 0.38 |\n| 0.7 | 881 | 0.17 | 0.22 |\n| 0.8 | 783 | 0.15 | 0.21 |","| 0.9 | 349 | 0.09 | 0.16 |\n| --- | --- | --- | --- |\n| 1.0 | 139 | 0.06 | 0.12 |\n| 1.1 | 102 | 0.04 | 0.11 |",1]
["| γ(×10) | #Non-zeros | BudgetConsumed | u(×10)min |\n| --- | --- | --- | --- |\n| 0.6 | 1941 | 0.49 | 0.38 |\n| 0.7 | 881 | 0.17 | 0.22 |\n| 0.8 | 783 | 0.15 | 0.21 |","| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["| Level#(i) | Sizeoflevelset,\\|L\\|i<br>unconstrainedm=10m=11 |  |  |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 1 |\n| 1 | 2 | 2 | 2 |\n| 2 | 12 | 10 | 12 |\n| 3 | 152 | 66 | 139 |","| 4 | 2,347 | 216 | 1,381 |\n| --- | --- | --- | --- |\n| 5 | 43,763 | 630 | 9,134 |\n| 6 | 890,355 | 2,002 | 54,798 |\n| 7 | 18,085,322 | 6,007 | 372,122 |\n| 8 | 325,165,209 | 17,497 | 2,739,963 |\n| 9 | notcalculated | 2,637 | 20,776,877 |\n| 10 | notcalculated | 0 | 15,467,734 |\n| 11 | notcalculated | 0 | 8 |\n| Totalnodesexpanded | est2.2×10 | 2.9×10 | 3.9×10 |\n| Totalruntime |  | 0.8min | 10hrs |",1]
["| Level#(i) | Sizeoflevelset,\\|L\\|i<br>unconstrainedm=10m=11 |  |  |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 1 |\n| 1 | 2 | 2 | 2 |\n| 2 | 12 | 10 | 12 |\n| 3 | 152 | 66 | 139 |","| Level | No.ofTopics |\n| --- | --- |\n| 7 | 13 |\n| 6 | 32 |\n| 5 | 75 |\n| 4 | 179 |\n| 3 | 436 |\n| 2 | 1173 |\n| 1 | 3084 |\n| total | 4992 |",0]
["| Level#(i) | Sizeoflevelset,\\|L\\|i<br>unconstrainedm=10m=11 |  |  |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 1 |\n| 1 | 2 | 2 | 2 |\n| 2 | 12 | 10 | 12 |\n| 3 | 152 | 66 | 139 |\n| 4 | 2,347 | 216 | 1,381 |\n| 5 | 43,763 | 630 | 9,134 |\n| 6 | 890,355 | 2,002 | 54,798 |","| 7 | 18,085,322 | 6,007 | 372,122 |\n| --- | --- | --- | --- |\n| 8 | 325,165,209 | 17,497 | 2,739,963 |\n| 9 | notcalculated | 2,637 | 20,776,877 |\n| 10 | notcalculated | 0 | 15,467,734 |\n| 11 | notcalculated | 0 | 8 |\n| Totalnodesexpanded | est2.2×10 | 2.9×10 | 3.9×10 |\n| Totalruntime |  | 0.8min | 10hrs |",1]
["| Level#(i) | Sizeoflevelset,\\|L\\|i<br>unconstrainedm=10m=11 |  |  |\n| --- | --- | --- | --- |\n| 0 | 1 | 1 | 1 |\n| 1 | 2 | 2 | 2 |\n| 2 | 12 | 10 | 12 |\n| 3 | 152 | 66 | 139 |\n| 4 | 2,347 | 216 | 1,381 |\n| 5 | 43,763 | 630 | 9,134 |\n| 6 | 890,355 | 2,002 | 54,798 |","| 4 | 179 |\n| --- | --- |\n| 3 | 436 |\n| 2 | 1173 |\n| 1 | 3084 |\n| total | 4992 |",0]
["|  | language | TSCCA |  |\n| --- | --- | --- | --- |\n| orig. | proc. |  |  |\n| RG65 | Spanish | 60.33 | 60.37 |","| GUR65 | German | 61.75 | 64.39 |\n| --- | --- | --- | --- |\n| GUR350 | German | 44.91 | 46.59 |\n| ZG222 | German | 30.37 | 32.92 |",1]
["|  | language | TSCCA |  |\n| --- | --- | --- | --- |\n| orig. | proc. |  |  |\n| RG65 | Spanish | 60.33 | 60.37 |","|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["|  | language | TSCCA |  |\n| --- | --- | --- | --- |\n| orig. | proc. |  |  |\n| RG65 | Spanish | 60.33 | 60.37 |\n| GUR65 | German | 61.75 | 64.39 |","| GUR350 | German | 44.91 | 46.59 |\n| --- | --- | --- | --- |\n| ZG222 | German | 30.37 | 32.92 |",1]
["|  | language | TSCCA |  |\n| --- | --- | --- | --- |\n| orig. | proc. |  |  |\n| RG65 | Spanish | 60.33 | 60.37 |\n| GUR65 | German | 61.75 | 64.39 |","| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |","| AP | 34.0 | 40.4 | 43.8 | 44.3 | 45.6 | 46.0 | 49.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 22.2 | 29.5 | 33.6 | 36.4 | 39.3 | 44.2 | 49.7 |",1]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |","| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |\n| AP | 29.8 | 34.2 | 35.3 | 38.7 | 40.2 | 42.0 | 44.0 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 |",0]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |","| AP | 34.0 | 40.4 | 43.8 | 44.3 | 45.6 | 46.0 | 49.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 22.2 | 29.5 | 33.6 | 36.4 | 39.3 | 44.2 | 49.7 |",1]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |","| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 |",0]
["| clustered |  |  |\n| --- | --- | --- |\n| ContextClusters(S,G) | PP | PP(tree) |","| w500,500i−1<br>w2000,2000i−1<br>w,w2000,2000i−2i−1 | 242<br>190<br>180 | -<br>-<br>158 |\n| --- | --- | --- |\n| backoﬀ |  |  |\n| Context |  | PP |\n| wi−1<br>w,wi−2i−1 |  | 172<br>112 |",1]
["| clustered |  |  |\n| --- | --- | --- |\n| ContextClusters(S,G) | PP | PP(tree) |","| p | tree | RRGnumerics |\n| --- | --- | --- |\n| 0.5 | 4.16 | 4.36±0.03 |\n| 0.45 | 4.22 | 4.45±0.05 |\n| 0.4 | 4.53 | 4.75±0.05 |\n| 0.35 | 5.13 | 5.30±0.05 |\n| 0.3 | 6.16 | 6.28±0.05 |",0]
["| clustered |  |  |\n| --- | --- | --- |\n| ContextClusters(S,G) | PP | PP(tree) |\n| w500,500i−1<br>w2000,2000i−1<br>w,w2000,2000i−2i−1 | 242<br>190<br>180 | -<br>-<br>158 |\n| backoﬀ |  |  |","| Context |  | PP |\n| --- | --- | --- |\n| wi−1<br>w,wi−2i−1 |  | 172<br>112 |",1]
["| clustered |  |  |\n| --- | --- | --- |\n| ContextClusters(S,G) | PP | PP(tree) |\n| w500,500i−1<br>w2000,2000i−1<br>w,w2000,2000i−2i−1 | 242<br>190<br>180 | -<br>-<br>158 |\n| backoﬀ |  |  |","| 0.45 | 4.22 | 4.45±0.05 |\n| --- | --- | --- |\n| 0.4 | 4.53 | 4.75±0.05 |\n| 0.35 | 5.13 | 5.30±0.05 |\n| 0.3 | 6.16 | 6.28±0.05 |",0]
["|  | EC | TC | WT | RankEC | RankTC | RankWT | Averagerank |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| UCL-TIG | 78.6 | 83.8 | 90.5 | 1/55 | 1 | 1 | 1.0 |\n| MICDKFZ | 77.6 | 81.9 | 90.3 | 2/55 | 2 | 2 | 2.0 |\n| inpm(ourmethod) | 77.2 | 80.8 | 90.0 | 3/55 | 3 | 7 | 4.3 |","| UCLMUBERN | 74.9 | 79.1 | 90.1 | 9/55 | 6 | 3 | 6.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| biomedia1 | 73.8 | 79.7 | 90.1 | 12/55 | 5 | 5 | 7.3 |\n| stryker | 75.5 | 78.3 | 90.1 | 6/55 | 10 | 6 | 7.3 |\n| xfeng | 75.1 | 79.9 | 89.2 | 8/55 | 4 | 11 | 7.7 |\n| Zhouch | 75.4 | 77.8 | 90.1 | 7/55 | 12 | 4 | 7.7 |\n| tkuan | 76.5 | 78.2 | 88.9 | 4/55 | 11 | 13 | 9.3 |\n| Zhao | 75.9 | 78.9 | 87.2 | 5/55 | 7 | 16 | 9.3 |",1]
["|  | EC | TC | WT | RankEC | RankTC | RankWT | Averagerank |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| UCL-TIG | 78.6 | 83.8 | 90.5 | 1/55 | 1 | 1 | 1.0 |\n| MICDKFZ | 77.6 | 81.9 | 90.3 | 2/55 | 2 | 2 | 2.0 |\n| inpm(ourmethod) | 77.2 | 80.8 | 90.0 | 3/55 | 3 | 7 | 4.3 |","| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["|  | EC | TC | WT | RankEC | RankTC | RankWT | Averagerank |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| UCL-TIG | 78.6 | 83.8 | 90.5 | 1/55 | 1 | 1 | 1.0 |","| MICDKFZ | 77.6 | 81.9 | 90.3 | 2/55 | 2 | 2 | 2.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| inpm(ourmethod) | 77.2 | 80.8 | 90.0 | 3/55 | 3 | 7 | 4.3 |\n| UCLMUBERN | 74.9 | 79.1 | 90.1 | 9/55 | 6 | 3 | 6.0 |\n| biomedia1 | 73.8 | 79.7 | 90.1 | 12/55 | 5 | 5 | 7.3 |\n| stryker | 75.5 | 78.3 | 90.1 | 6/55 | 10 | 6 | 7.3 |\n| xfeng | 75.1 | 79.9 | 89.2 | 8/55 | 4 | 11 | 7.7 |\n| Zhouch | 75.4 | 77.8 | 90.1 | 7/55 | 12 | 4 | 7.7 |\n| tkuan | 76.5 | 78.2 | 88.9 | 4/55 | 11 | 13 | 9.3 |\n| Zhao | 75.9 | 78.9 | 87.2 | 5/55 | 7 | 16 | 9.3 |",1]
["|  | EC | TC | WT | RankEC | RankTC | RankWT | Averagerank |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| UCL-TIG | 78.6 | 83.8 | 90.5 | 1/55 | 1 | 1 | 1.0 |","| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| --- | --- | --- | --- | --- |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["| M |\n| --- |\n| N |\n| ζ |","| β |\n| --- |\n| E(λ) |\n| q |\n| c |\n| l |\n| CAMtype |\n| MLArch. |\n| SupplyVoltage |",1]
["| M |\n| --- |\n| N |\n| ζ |","| Parameter | Values |\n| --- | --- |\n| k | 5,25,50,75,100 |\n| β | 0.1,0.2,0.3,0.4,0.5 |\n| N | 100K,250K,500K,750K,1,000K |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",0]
["| M |\n| --- |\n| N |\n| ζ |","| β |\n| --- |\n| E(λ) |\n| q |\n| c |\n| l |\n| CAMtype |\n| MLArch. |\n| SupplyVoltage |",1]
["| M |\n| --- |\n| N |\n| ζ |","| β | 0.1,0.2,0.3,0.4,0.5 |\n| --- | --- |\n| N | 100K,250K,500K,750K,1,000K |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",0]
["| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |","| 101 | 600K | 75h | 8x7.5G |\n| --- | --- | --- | --- |\n| 101 | 4M | ¿500h | 8x8G |",1]
["| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |","|  | 321×481pixelimages |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | 1core(s) | 4cores(s) | 1core(fps) | 4cores(fps) | totaltime(m:s) |\n| SIFT | 0.039 | 0.017 | 25 | 59 | - |\n| SIFT+TreeSC+pyramid | 0.143 | 0.045 | 7 | 22.5 | - |\n| full(1024) | 0.145 | 0.0465 | 6.9 | 21 | 4:01 |\n| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |\n| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |\n| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |",0]
["| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |","| 101 | 600K | 75h | 8x7.5G |\n| --- | --- | --- | --- |\n| 101 | 4M | ¿500h | 8x8G |",1]
["| Depth | Images | Time | Memory |\n| --- | --- | --- | --- |\n| 50 | 60K | 5h | 8x4.5G |\n| 101 | 60K | 9h | 8x6.5G |","| full(2048) | 0.1473 | 0.050 | 6.8 | 20 | 4:45 |\n| --- | --- | --- | --- | --- | --- |\n| full(4096) | 0.1495 | 0.052 | 6.7 | 19 | 4:42 |\n| full(8092) | 0.155 | 0.0565 | 6.4 | 18 | 5:35 |",0]
["| h | Averagejumpfactorwithvaryingβ |  |  |  |\n| --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |\n| 10 | 1.93 | 1.75 | 1.64 | 1.64 |","| 50 | 4.45 | 2.70 | 2.05 | 1.92 |\n| --- | --- | --- | --- | --- |\n| 100 | 7.26 | 3.53 | 2.38 | 1.96 |\n| 500 | 29.53 | 10.22 | 4.26 | 1.99 |\n| 1000 | 57.37 | 18.57 | 6.54 | 2.00 |",1]
["| h | Averagejumpfactorwithvaryingβ |  |  |  |\n| --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |\n| 10 | 1.93 | 1.75 | 1.64 | 1.64 |","| h | N | SearchLDS | SkipList | JumpSearchLDS |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |  |  |  |\n| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |\n| 50 | 1275 | 0.190 | 0.144 | 0.215 | 0.155 | 0.134 | 0.128 |\n| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",0]
["| h | Averagejumpfactorwithvaryingβ |  |  |  |\n| --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |\n| 10 | 1.93 | 1.75 | 1.64 | 1.64 |\n| 50 | 4.45 | 2.70 | 2.05 | 1.92 |","| 100 | 7.26 | 3.53 | 2.38 | 1.96 |\n| --- | --- | --- | --- | --- |\n| 500 | 29.53 | 10.22 | 4.26 | 1.99 |\n| 1000 | 57.37 | 18.57 | 6.54 | 2.00 |",1]
["| h | Averagejumpfactorwithvaryingβ |  |  |  |\n| --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |\n| 10 | 1.93 | 1.75 | 1.64 | 1.64 |\n| 50 | 4.45 | 2.70 | 2.05 | 1.92 |","| 50 | 1275 | 0.190 | 0.144 | 0.215 | 0.155 | 0.134 | 0.128 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",0]
["| Simplerotation | Axesnumbers | Key |\n| --- | --- | --- |\n| Rxy | 1×2 | “2” |\n| Rxz | 1×3 | “3” |","| Rxw | 1×4 | “4” |\n| --- | --- | --- |\n| Ryz | 2×3 | “6” |\n| Ryw | 2×4 | “8” |\n| Rzw | 3×4 | “c” |\n| Doublerotation | x’scounterpart | Key |\n| Rxy,zw | y | “y” |\n| Rxz,yw | z | “z” |\n| Rxw,yz | w | “w” |",1]
["| Simplerotation | Axesnumbers | Key |\n| --- | --- | --- |\n| Rxy | 1×2 | “2” |\n| Rxz | 1×3 | “3” |","| Code | K,{w}B | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |\n| Simplex | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |\n| Polar | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 |\n| Simplex | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 2 | 0 |\n| Polar | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0 |\n| Simplex | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | 0 | 0 |\n| Polar | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 0 | 0 | 0 |\n| Polar | 6 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 54 | 0 | 0 | 0 |\n| eBCH | 6 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 30 | 0 | 16 | 0 |\n| Polar | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 102 | 0 | 0 | 0 |\n| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |\n| DualofeBCH | 10 | 0 | 0 | 0 | 60 | 0 | 256 | 0 | 390 | 0 | 256 | 0 |\n| Polar | 11 | 0 | 0 | 0 | 140 | 0 | 448 | 0 | 870 | 0 | 448 | 0 |\n| Polar | 12 | 0 | 8 | 0 | 252 | 0 | 952 | 0 | 1670 | 0 | 952 | 0 |\n| DualofSimplex | 12 | 0 | 1 | 42 | 133 | 252 | 469 | 750 | 835 | 680 | 483 | 294 |\n| Polar | 13 | 0 | 24 | 0 | 476 | 0 | 1960 | 0 | 3270 | 0 | 1960 | 0 |\n| DualofSimplex | 13 | 0 | 11 | 82 | 233 | 516 | 1003 | 1470 | 1595 | 1400 | 1017 | 558 |\n| Polar | 14 | 0 | 56 | 0 | 924 | 0 | 3976 | 0 | 6470 | 0 | 3976 | 0 |\n| DualofSimplex | 14 | 0 | 35 | 150 | 425 | 1100 | 2051 | 2810 | 3195 | 2920 | 1985 | 1066 |\n| Polar | 15 | 0 | 120 | 0 | 1820 | 0 | 8008 | 0 | 12870 | 0 | 8008 | 0 |",0]
["| Simplerotation | Axesnumbers | Key |\n| --- | --- | --- |\n| Rxy | 1×2 | “2” |\n| Rxz | 1×3 | “3” |\n| Rxw | 1×4 | “4” |\n| Ryz | 2×3 | “6” |\n| Ryw | 2×4 | “8” |\n| Rzw | 3×4 | “c” |","| Doublerotation | x’scounterpart | Key |\n| --- | --- | --- |\n| Rxy,zw | y | “y” |\n| Rxz,yw | z | “z” |\n| Rxw,yz | w | “w” |",1]
["| Simplerotation | Axesnumbers | Key |\n| --- | --- | --- |\n| Rxy | 1×2 | “2” |\n| Rxz | 1×3 | “3” |\n| Rxw | 1×4 | “4” |\n| Ryz | 2×3 | “6” |\n| Ryw | 2×4 | “8” |\n| Rzw | 3×4 | “c” |","| eBCH | 6 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 30 | 0 | 16 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Polar | 7 | 0 | 0 | 0 | 12 | 0 | 0 | 0 | 102 | 0 | 0 | 0 |\n| eBCH | 7 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 30 | 0 | 48 | 0 |\n| Polar | 8 | 0 | 0 | 0 | 28 | 0 | 0 | 0 | 198 | 0 | 0 | 0 |\n| Polar | 9 | 0 | 0 | 0 | 44 | 0 | 64 | 0 | 294 | 0 | 64 | 0 |\n| DualofeBCH | 9 | 0 | 0 | 0 | 20 | 0 | 160 | 0 | 150 | 0 | 160 | 0 |\n| Polar | 10 | 0 | 0 | 0 | 76 | 0 | 192 | 0 | 486 | 0 | 192 | 0 |\n| DualofeBCH | 10 | 0 | 0 | 0 | 60 | 0 | 256 | 0 | 390 | 0 | 256 | 0 |\n| Polar | 11 | 0 | 0 | 0 | 140 | 0 | 448 | 0 | 870 | 0 | 448 | 0 |\n| Polar | 12 | 0 | 8 | 0 | 252 | 0 | 952 | 0 | 1670 | 0 | 952 | 0 |\n| DualofSimplex | 12 | 0 | 1 | 42 | 133 | 252 | 469 | 750 | 835 | 680 | 483 | 294 |\n| Polar | 13 | 0 | 24 | 0 | 476 | 0 | 1960 | 0 | 3270 | 0 | 1960 | 0 |\n| DualofSimplex | 13 | 0 | 11 | 82 | 233 | 516 | 1003 | 1470 | 1595 | 1400 | 1017 | 558 |\n| Polar | 14 | 0 | 56 | 0 | 924 | 0 | 3976 | 0 | 6470 | 0 | 3976 | 0 |\n| DualofSimplex | 14 | 0 | 35 | 150 | 425 | 1100 | 2051 | 2810 | 3195 | 2920 | 1985 | 1066 |\n| Polar | 15 | 0 | 120 | 0 | 1820 | 0 | 8008 | 0 | 12870 | 0 | 8008 | 0 |",0]
["| Layer | Depth | Type | Name | Parameters | Topshape |\n| --- | --- | --- | --- | --- | --- |\n| 23 | 8 | SoftMax | prob |  | C |\n| 22 | 8 | FC | ip8 |  | C |\n| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |\n| 20 | 7 | ReLU | relu7 |  | 4096 |","| 19 | 7 | FC | ip7 | b=1 | 4096 |\n| --- | --- | --- | --- | --- | --- |\n| 18 | 6 | Dropout | drop6 | ratio=0,5 | 4096 |\n| 17 | 6 | ReLU | relu6 |  | 4096 |\n| 16 | 6 | FC | ip6 | b=1 | 4096 |\n| 15 | 5 | Maxpooling | pool5 | k=3x3,s=2 | 6x6x256 |\n| 14 | 5 | ReLU | relu5 |  | 13x13x256 |\n| 13 | 5 | Convolution | conv5 | k=3x3,nb=256,pad=1,b=1 | 13x13x256 |\n| 12 | 4 | ReLU | relu4 |  | 13x13x384 |\n| 11 | 4 | Convolution | conv4 | k=3x3,nb=384,pad=1,b=1 | 13x13x384 |\n| 10 | 3 | ReLU | relu3 |  | 13x13x384 |\n| 9 | 3 | Convolution | conv3 | k=3x3,nb=384,pad=1,b=0 | 13x13x384 |\n| 8 | 2 | LRN | norm2 | k=5x5,α=10,β=0,75 | 13x13x256 |\n| 7 | 2 | Maxpooling | pool2 | k=3x3,s=2 | 13x13x256 |\n| 6 | 2 | ReLU | relu2 |  | 27x27x256 |\n| 5 | 2 | Convolution | conv2 | k=5x5,nb=256,pad=2,b=1 | 27x27x256 |\n| 4 | 1 | LRN | norm1 | k=5x5,α=10,β=0,75 | 27x27x96 |\n| 3 | 1 | Maxpooling | pool1 | k=3x3,s=2 | 27x27x96 |\n| 2 | 1 | ReLU | relu1 |  | 55x55x96 |\n| 1 | 1 | Convolution | conv1 | k=11x11,nb=96,s=4,b=0 | 55x55x96 |\n| 0 | 0 | Data | data |  | 227x227x3 |",1]
["| Layer | Depth | Type | Name | Parameters | Topshape |\n| --- | --- | --- | --- | --- | --- |\n| 23 | 8 | SoftMax | prob |  | C |\n| 22 | 8 | FC | ip8 |  | C |\n| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |\n| 20 | 7 | ReLU | relu7 |  | 4096 |","| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Layer | Depth | Type | Name | Parameters | Topshape |\n| --- | --- | --- | --- | --- | --- |\n| 23 | 8 | SoftMax | prob |  | C |\n| 22 | 8 | FC | ip8 |  | C |\n| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |\n| 20 | 7 | ReLU | relu7 |  | 4096 |\n| 19 | 7 | FC | ip7 | b=1 | 4096 |\n| 18 | 6 | Dropout | drop6 | ratio=0,5 | 4096 |\n| 17 | 6 | ReLU | relu6 |  | 4096 |\n| 16 | 6 | FC | ip6 | b=1 | 4096 |","| 15 | 5 | Maxpooling | pool5 | k=3x3,s=2 | 6x6x256 |\n| --- | --- | --- | --- | --- | --- |\n| 14 | 5 | ReLU | relu5 |  | 13x13x256 |\n| 13 | 5 | Convolution | conv5 | k=3x3,nb=256,pad=1,b=1 | 13x13x256 |\n| 12 | 4 | ReLU | relu4 |  | 13x13x384 |\n| 11 | 4 | Convolution | conv4 | k=3x3,nb=384,pad=1,b=1 | 13x13x384 |\n| 10 | 3 | ReLU | relu3 |  | 13x13x384 |\n| 9 | 3 | Convolution | conv3 | k=3x3,nb=384,pad=1,b=0 | 13x13x384 |\n| 8 | 2 | LRN | norm2 | k=5x5,α=10,β=0,75 | 13x13x256 |\n| 7 | 2 | Maxpooling | pool2 | k=3x3,s=2 | 13x13x256 |\n| 6 | 2 | ReLU | relu2 |  | 27x27x256 |\n| 5 | 2 | Convolution | conv2 | k=5x5,nb=256,pad=2,b=1 | 27x27x256 |\n| 4 | 1 | LRN | norm1 | k=5x5,α=10,β=0,75 | 27x27x96 |\n| 3 | 1 | Maxpooling | pool1 | k=3x3,s=2 | 27x27x96 |\n| 2 | 1 | ReLU | relu1 |  | 55x55x96 |\n| 1 | 1 | Convolution | conv1 | k=11x11,nb=96,s=4,b=0 | 55x55x96 |\n| 0 | 0 | Data | data |  | 227x227x3 |",1]
["| Layer | Depth | Type | Name | Parameters | Topshape |\n| --- | --- | --- | --- | --- | --- |\n| 23 | 8 | SoftMax | prob |  | C |\n| 22 | 8 | FC | ip8 |  | C |\n| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |\n| 20 | 7 | ReLU | relu7 |  | 4096 |\n| 19 | 7 | FC | ip7 | b=1 | 4096 |\n| 18 | 6 | Dropout | drop6 | ratio=0,5 | 4096 |\n| 17 | 6 | ReLU | relu6 |  | 4096 |\n| 16 | 6 | FC | ip6 | b=1 | 4096 |","| Conv51 | 3×3/1 | 256 | 160 |\n| --- | --- | --- | --- |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| VMPaddress | Time<br>Aware | Shortest<br>Path |\n| --- | --- | --- |\n| viaAeroporto | 0.4604 | 0.4602 |\n| viaCascine | 0.3376 | 0.3178 |\n| viadiCisanello | 0.5880 | 0.5758 |\n| viaToscoRomagnola | 0.4511 | 0.4527 |\n| viaBrennero | 0.4770 | 0.4823 |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |","| viaEmilia | 0.7050 | 0.6868 |\n| --- | --- | --- |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",1]
["| VMPaddress | Time<br>Aware | Shortest<br>Path |\n| --- | --- | --- |\n| viaAeroporto | 0.4604 | 0.4602 |\n| viaCascine | 0.3376 | 0.3178 |\n| viadiCisanello | 0.5880 | 0.5758 |\n| viaToscoRomagnola | 0.4511 | 0.4527 |\n| viaBrennero | 0.4770 | 0.4823 |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |","| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |\n| --- | --- | --- | --- | --- | --- | --- |\n| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |\n| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |\n| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |\n| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |\n| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |\n| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |\n| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",0]
["| VMPaddress | Time<br>Aware | Shortest<br>Path |\n| --- | --- | --- |\n| viaAeroporto | 0.4604 | 0.4602 |\n| viaCascine | 0.3376 | 0.3178 |\n| viadiCisanello | 0.5880 | 0.5758 |\n| viaToscoRomagnola | 0.4511 | 0.4527 |","| viaBrennero | 0.4770 | 0.4823 |\n| --- | --- | --- |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |\n| viaEmilia | 0.7050 | 0.6868 |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",1]
["| VMPaddress | Time<br>Aware | Shortest<br>Path |\n| --- | --- | --- |\n| viaAeroporto | 0.4604 | 0.4602 |\n| viaCascine | 0.3376 | 0.3178 |\n| viadiCisanello | 0.5880 | 0.5758 |\n| viaToscoRomagnola | 0.4511 | 0.4527 |","| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |\n| --- | --- | --- | --- | --- | --- | --- |\n| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |\n| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",0]
["| Name | P | R | F |\n| --- | --- | --- | --- |\n| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 |","| SVM(Linear,C=0.01) | 72.23 | 57.75 | 58.96 |\n| --- | --- | --- | --- |\n| SVM(Linear,C=0.1) | 73.75 | 64.18 | 67.35 |\n| SVM(Linear,C=1) | 73.17 | 64.18 | 67.32 |",1]
["| Name | P | R | F |\n| --- | --- | --- | --- |\n| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| Name | P | R | F |\n| --- | --- | --- | --- |\n| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 |","| SVM(Linear,C=0.01) | 72.23 | 57.75 | 58.96 |\n| --- | --- | --- | --- |\n| SVM(Linear,C=0.1) | 73.75 | 64.18 | 67.35 |\n| SVM(Linear,C=1) | 73.17 | 64.18 | 67.32 |",1]
["| Name | P | R | F |\n| --- | --- | --- | --- |\n| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 |","| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| System | fri/desk | fr2/xyz | fr3/oﬃce | fr3/nst |\n| --- | --- | --- | --- | --- |\n| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |\n| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |\n| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |\n| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m |\n| Kintinuous | 0.037m | 0.029m | 0.030m | 0.031m |","| Frame-to-model | 0.022m | 0.014m | 0.025m | 0.027m |\n| --- | --- | --- | --- | --- |\n| ElasticFusion | 0.020m | 0.011m | 0.017m | 0.016m |\n| BundleFusion | 0.016m | 0.011m | 0.022m | 0.012m |",1]
["| System | fri/desk | fr2/xyz | fr3/oﬃce | fr3/nst |\n| --- | --- | --- | --- | --- |\n| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |\n| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |\n| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |\n| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m |\n| Kintinuous | 0.037m | 0.029m | 0.030m | 0.031m |","| Models | MR=0.01 | MR=0.04 | MR=0.10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss |  |\n| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |\n| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |\n| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |\n| fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |\n| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |\n| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 |",0]
["| System | fri/desk | fr2/xyz | fr3/oﬃce | fr3/nst |\n| --- | --- | --- | --- | --- |\n| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |\n| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |\n| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |\n| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m |","| Kintinuous | 0.037m | 0.029m | 0.030m | 0.031m |\n| --- | --- | --- | --- | --- |\n| Frame-to-model | 0.022m | 0.014m | 0.025m | 0.027m |\n| ElasticFusion | 0.020m | 0.011m | 0.017m | 0.016m |\n| BundleFusion | 0.016m | 0.011m | 0.022m | 0.012m |",1]
["| System | fri/desk | fr2/xyz | fr3/oﬃce | fr3/nst |\n| --- | --- | --- | --- | --- |\n| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |\n| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |\n| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |\n| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m |","| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |\n| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |\n| fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |\n| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |\n| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 |",0]
["| N= | K=10 | K=15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PTP | RTP | VBP | PTP | RTP | VBP |  |\n| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |\n| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |\n| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |","| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",1]
["| N= | K=10 | K=15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PTP | RTP | VBP | PTP | RTP | VBP |  |\n| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |\n| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |\n| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |","| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |\n| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |\n| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |\n| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |\n| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |\n| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |\n| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |\n| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |\n| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |\n| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |\n| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |\n| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",0]
["| N= | K=10 | K=15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PTP | RTP | VBP | PTP | RTP | VBP |  |\n| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |\n| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |","| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |\n| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |\n| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |\n| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |\n| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |\n| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 |",1]
["| N= | K=10 | K=15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PTP | RTP | VBP | PTP | RTP | VBP |  |\n| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |\n| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |","| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |\n| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |\n| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |\n| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",0]
["|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |","| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",1]
["|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |","|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.7330 | 4.6000 | 24.92 | 0.7429 |\n| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |\n| SRResNet | 24.31 | 0.7328 | 3.3500 | 24.77 | 0.7458 | 3.0833 | 25.04 | 0.7543 |\n| SRGAN | 24.03 | 0.7198 | 3.8333 | 24.37 | 0.7297 | 3.9444 | 24.71 | 0.7413 |\n| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |\n| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 |",0]
["|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |","| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",1]
["|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |","| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |\n| SRResNet | 24.31 | 0.7328 | 3.3500 | 24.77 | 0.7458 | 3.0833 | 25.04 | 0.7543 |\n| SRGAN | 24.03 | 0.7198 | 3.8333 | 24.37 | 0.7297 | 3.9444 | 24.71 | 0.7413 |\n| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |\n| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 |",0]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |\n| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |\n| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 |\n| PMSSumMinD | 4 | 0 | 3 | 4 | 2 | 2 |","| DMESumMinD | 0 | 7 | 0 | 0 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BestDMESumMinD | 0 | 8 | 0 | 2 | 1 | 2 |\n| PMSSumMin500 | 18 | 1 | 20 | 13 | 20 | 11 |\n| PMSSumMinD500 | 4 | 0 | 5 | 6 | 3 | 7 |\n| DMESumMin500 | 0 | 21 | 0 | 8 | 3 | 12 |",1]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |\n| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |\n| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 |\n| PMSSumMinD | 4 | 0 | 3 | 4 | 2 | 2 |","| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 |",0]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |\n| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |\n| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 |","| PMSSumMinD | 4 | 0 | 3 | 4 | 2 | 2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DMESumMinD | 0 | 7 | 0 | 0 | 1 | 1 |\n| BestDMESumMinD | 0 | 8 | 0 | 2 | 1 | 2 |\n| PMSSumMin500 | 18 | 1 | 20 | 13 | 20 | 11 |\n| PMSSumMinD500 | 4 | 0 | 5 | 6 | 3 | 7 |\n| DMESumMin500 | 0 | 21 | 0 | 8 | 3 | 12 |",1]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |\n| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |\n| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 |","| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 |",0]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |\n| Average | 3 | 38.56 | 40.21 | 40.35 |","| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |\n| --- | --- | --- | --- | --- |\n| Average | 4 | 36.20 | 37.52 | 37.91 |",1]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |\n| Average | 3 | 38.56 | 40.21 | 40.35 |","| Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |\n| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",0]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |","| Average | 3 | 38.56 | 40.21 | 40.35 |\n| --- | --- | --- | --- | --- |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |\n| Average | 4 | 36.20 | 37.52 | 37.91 |",1]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |","| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| --- | --- | --- | --- | --- | --- |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",0]
["| Architecture | Kinetics |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 53.9 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 56.1 | – | – | – | – |","| (c)Two-Stream | 57.9 | 49.6 | 62.8 | 62.2 | 52.4 |\n| --- | --- | --- | --- | --- | --- |\n| (d)3D-Fused | – | – | 62.7 | – | – |\n| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) |",1]
["| Architecture | Kinetics |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 53.9 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 56.1 | – | – | – | – |","| Architecture | UCF-101 | HMDB-51 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |\n| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |\n| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |\n| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |",0]
["| Architecture | Kinetics |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 53.9 | – | – | 63.3 | – |","| (b)3D-ConvNet | 56.1 | – | – | – | – |\n| --- | --- | --- | --- | --- | --- |\n| (c)Two-Stream | 57.9 | 49.6 | 62.8 | 62.2 | 52.4 |\n| (d)3D-Fused | – | – | 62.7 | – | – |\n| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) |",1]
["| Architecture | Kinetics |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 53.9 | – | – | 63.3 | – |","| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |\n| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |",0]
["| Averagedeletiontime | Averageinsertiontime |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X |\n| 2.38<br>4.12<br>9.14<br>5.94<br>12.08 | 1.06<br>2.58<br>1.30<br>1.52<br>1.68 | 0.54<br>1.30<br>0.36<br>0.64<br>1.26 | 1.00<br>1.58<br>1.12<br>1.30<br>1.48 | 0.48<br>1.20<br>0.32<br>0.60<br>1.22 | 2.80<br>5.30<br>9.92<br>6.24<br>12.22 | 1.32<br>1.46<br>1.56<br>1.50<br>1.52 | 1.20<br>1.32<br>1.40<br>1.40<br>1.42 | 1.28<br>1.40<br>1.42<br>1.36<br>1.44 | 1.14<br>1.20<br>1.40<br>1.32<br>1.38 | 2.59<br>4.71<br>9.53<br>6.09<br>12.15 | 1.19<br>2.02<br>1.43<br>1.51<br>1.60 | 0.87<br>1.31<br>0.88<br>1.02<br>1.34 |","| 21.38<br>13.00<br>22.53<br>24.36<br>3.64 | 4.58<br>2.06<br>4.12<br>4.85<br>1.32 | 2.14<br>0.68<br>1.43<br>1.56<br>0.50 | 3.28<br>1.62<br>2.06<br>2.13<br>0.50 | 1.32<br>0.64<br>1.38<br>1.54<br>0.48 | 21.16<br>13.94<br>20.37<br>22.32<br>4.06 | 2.62<br>2.04<br>2.80<br>2.93<br>1.78 | 2.02<br>1.56<br>1.73<br>1.82<br>1.70 | 2.40<br>1.80<br>1.88<br>2.05<br>1.76 | 2.00<br>1.50<br>1.32<br>1.64<br>1.42 | 21.27<br>13.47<br>20.45<br>23.34<br>3.85 | 3.60<br>2.05<br>3.46<br>3.73<br>1.55 | 2.08<br>1.12<br>1.58<br>1.69<br>1.10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10.80<br>13.06 | 2.40<br>2.14 | 0.90<br>1.24 | 1.82<br>1.64 | 0.86<br>1.22 | 10.60<br>12.52 | 2.92<br>1.74 | 2.70<br>1.52 | 2.82<br>1.70 | 2.68<br>1.24 | 10.70<br>12.79 | 2.66<br>1.94 | 1.80<br>1.38 |\n| 10.32 | 2.64 | 1.58 | 1.66 | 1.38 | 12.08 | 2.18 | 2.06 | 2.12 | 1.82 | 11.20 | 2.41 | 1.82 |\n| 13.60<br>108.20 | 1.56<br>2.10 | 0.64<br>1.12 | 1.32<br>1.82 | 0.54<br>0.91 | 13.64<br>107.52 | 1.64<br>1.74 | 1.32<br>1.52 | 1.34<br>1.64 | 1.32<br>1.21 | 13.62<br>107.86 | 1.60<br>1.92 | 0.98<br>1.32 |",1]
["| Averagedeletiontime | Averageinsertiontime |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X |\n| 2.38<br>4.12<br>9.14<br>5.94<br>12.08 | 1.06<br>2.58<br>1.30<br>1.52<br>1.68 | 0.54<br>1.30<br>0.36<br>0.64<br>1.26 | 1.00<br>1.58<br>1.12<br>1.30<br>1.48 | 0.48<br>1.20<br>0.32<br>0.60<br>1.22 | 2.80<br>5.30<br>9.92<br>6.24<br>12.22 | 1.32<br>1.46<br>1.56<br>1.50<br>1.52 | 1.20<br>1.32<br>1.40<br>1.40<br>1.42 | 1.28<br>1.40<br>1.42<br>1.36<br>1.44 | 1.14<br>1.20<br>1.40<br>1.32<br>1.38 | 2.59<br>4.71<br>9.53<br>6.09<br>12.15 | 1.19<br>2.02<br>1.43<br>1.51<br>1.60 | 0.87<br>1.31<br>0.88<br>1.02<br>1.34 |","|  | F=10,H=1,K=10 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 5.00<br>9.50<br>0.00<br>10.00<br>10.00<br>10.00 | 0.00<br>4.50<br>0.00<br>0.00<br>0.00<br>0.00 | 5.00<br>5.00<br>4.50<br>10.00<br>10.00<br>10.00 | 1<br>0<br>0<br>1<br>1<br>0 | 13.49<br>0.00<br>0.00<br>10.00<br>19.00<br>0.00 | 8.49<br>4.00<br>0.00<br>0.00<br>9.00<br>0.00 | 4.99<br>4.50<br>4.00<br>10.00<br>10.00<br>9.00 |\n|  | Π=170.25 | Π=171.75 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |\n|  | Π=429.00 | Π=768.875 |  |  |  |  |  |  |  |  |",0]
["| Averagedeletiontime | Averageinsertiontime |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X |","| 2.38<br>4.12<br>9.14<br>5.94<br>12.08 | 1.06<br>2.58<br>1.30<br>1.52<br>1.68 | 0.54<br>1.30<br>0.36<br>0.64<br>1.26 | 1.00<br>1.58<br>1.12<br>1.30<br>1.48 | 0.48<br>1.20<br>0.32<br>0.60<br>1.22 | 2.80<br>5.30<br>9.92<br>6.24<br>12.22 | 1.32<br>1.46<br>1.56<br>1.50<br>1.52 | 1.20<br>1.32<br>1.40<br>1.40<br>1.42 | 1.28<br>1.40<br>1.42<br>1.36<br>1.44 | 1.14<br>1.20<br>1.40<br>1.32<br>1.38 | 2.59<br>4.71<br>9.53<br>6.09<br>12.15 | 1.19<br>2.02<br>1.43<br>1.51<br>1.60 | 0.87<br>1.31<br>0.88<br>1.02<br>1.34 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 21.38<br>13.00<br>22.53<br>24.36<br>3.64 | 4.58<br>2.06<br>4.12<br>4.85<br>1.32 | 2.14<br>0.68<br>1.43<br>1.56<br>0.50 | 3.28<br>1.62<br>2.06<br>2.13<br>0.50 | 1.32<br>0.64<br>1.38<br>1.54<br>0.48 | 21.16<br>13.94<br>20.37<br>22.32<br>4.06 | 2.62<br>2.04<br>2.80<br>2.93<br>1.78 | 2.02<br>1.56<br>1.73<br>1.82<br>1.70 | 2.40<br>1.80<br>1.88<br>2.05<br>1.76 | 2.00<br>1.50<br>1.32<br>1.64<br>1.42 | 21.27<br>13.47<br>20.45<br>23.34<br>3.85 | 3.60<br>2.05<br>3.46<br>3.73<br>1.55 | 2.08<br>1.12<br>1.58<br>1.69<br>1.10 |\n| 10.80<br>13.06 | 2.40<br>2.14 | 0.90<br>1.24 | 1.82<br>1.64 | 0.86<br>1.22 | 10.60<br>12.52 | 2.92<br>1.74 | 2.70<br>1.52 | 2.82<br>1.70 | 2.68<br>1.24 | 10.70<br>12.79 | 2.66<br>1.94 | 1.80<br>1.38 |\n| 10.32 | 2.64 | 1.58 | 1.66 | 1.38 | 12.08 | 2.18 | 2.06 | 2.12 | 1.82 | 11.20 | 2.41 | 1.82 |\n| 13.60<br>108.20 | 1.56<br>2.10 | 0.64<br>1.12 | 1.32<br>1.82 | 0.54<br>0.91 | 13.64<br>107.52 | 1.64<br>1.74 | 1.32<br>1.52 | 1.34<br>1.64 | 1.32<br>1.21 | 13.62<br>107.86 | 1.60<br>1.92 | 0.98<br>1.32 |",1]
["| Averagedeletiontime | Averageinsertiontime |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=429.00 | Π=768.875 |  |  |  |  |  |  |  |  |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {37} | {37} | {37} |","| 2 | {11,14} | {14,26} | {26,37} | {14,26} |\n| --- | --- | --- | --- | --- |\n| 3 | {1,14,29},...(6) | {11,14,29},...(6) | {11,26,37} | {11,14,29} |\n| 4 | {11,14,29,37},...(440) | {11,14,29,37},...(440) | {11,14,26,37} | {11,14,29,37} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {37} | {37} | {37} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29},...(1) | {15} | {1} | {29} |\n| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |\n| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {37} | {37} | {37} |\n| 2 | {11,14} | {14,26} | {26,37} | {14,26} |","| 3 | {1,14,29},...(6) | {11,14,29},...(6) | {11,26,37} | {11,14,29} |\n| --- | --- | --- | --- | --- |\n| 4 | {11,14,29,37},...(440) | {11,14,29,37},...(440) | {11,14,26,37} | {11,14,29,37} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {37} | {37} | {37} |\n| 2 | {11,14} | {14,26} | {26,37} | {14,26} |","| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |\n| --- | --- | --- | --- | --- |\n| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",0]
["|  | Arabic | English |\n| --- | --- | --- |\n| Sentences | 8M |  |","| Runningwords | 189M | 186M |\n| --- | --- | --- |\n| Vocabulary | 608K | 519K |\n| Tunesentences | 1510(NN),1080(MERT) |  |\n| Testsentences | 1137 |  |",1]
["|  | Arabic | English |\n| --- | --- | --- |\n| Sentences | 8M |  |","|  | Chinese | English |\n| --- | --- | --- |\n| Sentences | 13M |  |\n| Runningwords | 255M | 279M |\n| Vocabulary | 370K | 833K |\n| Tunesentences | 1844(NN),985(MERT) |  |\n| Testsentences | 1124 |  |",0]
["|  | Arabic | English |\n| --- | --- | --- |\n| Sentences | 8M |  |\n| Runningwords | 189M | 186M |","| Vocabulary | 608K | 519K |\n| --- | --- | --- |\n| Tunesentences | 1510(NN),1080(MERT) |  |\n| Testsentences | 1137 |  |",1]
["|  | Arabic | English |\n| --- | --- | --- |\n| Sentences | 8M |  |\n| Runningwords | 189M | 186M |","| Vocabulary | 370K | 833K |\n| --- | --- | --- |\n| Tunesentences | 1844(NN),985(MERT) |  |\n| Testsentences | 1124 |  |",0]
["| DeviceSpeciﬁcations | ValueUnit | Example |\n| --- | --- | --- |\n| accountaddress | string | 0xc968efa8019d(hashvalue) |\n| networkport | int | 42024 |\n| input/outputdata | string | video,audio,text |\n| bandwidthrequest | double | [minValue,maxValue] |\n| CPUrequest | double | [minValue,maxValue] |\n| memoryrequest | double | [minValue,maxValue] |\n| storagerequest | double | [minValue,maxValue] |","| MACaddress | string | 00-14-22-01-23-45 |\n| --- | --- | --- |\n| priority* | int | 1/2/3/4 |\n| coinbalance* | double | 200.00 |\n| credit* | int | 100 |\n| isBlocked* | bool | false |\n| isRegistered* | bool | false |\n| lastrequestid* | string | 0xcf30613db6a84(hashvalue) |",1]
["| DeviceSpeciﬁcations | ValueUnit | Example |\n| --- | --- | --- |\n| accountaddress | string | 0xc968efa8019d(hashvalue) |\n| networkport | int | 42024 |\n| input/outputdata | string | video,audio,text |\n| bandwidthrequest | double | [minValue,maxValue] |\n| CPUrequest | double | [minValue,maxValue] |\n| memoryrequest | double | [minValue,maxValue] |\n| storagerequest | double | [minValue,maxValue] |","| InputData | Value(Min-Max) |\n| --- | --- |\n| Workloadtraceduration(t) | (4-4) |\n| RangeofCPUvaluesforresources | (4-10) |\n| RangeofMemoryvaluesforresources | (2-16) |\n| RangeofNetworkvaluesforresources | (100-1000) |\n| RangeofCPUvaluesforutilization | (2-10) |\n| RangeofMemoryvaluesforutilization | (1-16) |\n| RangeofNetworkvaluesforutilization | (0-1000) |\n| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |\n| RangeofSLAvaluesofVMs | (0-2) |\n| RangeofnumberofVMsforcloudservices | (1-6) |\n| Numberofcloudservices | (1-1) |\n| Probabilitydistribution | Random |",0]
["| DeviceSpeciﬁcations | ValueUnit | Example |\n| --- | --- | --- |\n| accountaddress | string | 0xc968efa8019d(hashvalue) |\n| networkport | int | 42024 |\n| input/outputdata | string | video,audio,text |","| bandwidthrequest | double | [minValue,maxValue] |\n| --- | --- | --- |\n| CPUrequest | double | [minValue,maxValue] |\n| memoryrequest | double | [minValue,maxValue] |\n| storagerequest | double | [minValue,maxValue] |\n| MACaddress | string | 00-14-22-01-23-45 |\n| priority* | int | 1/2/3/4 |\n| coinbalance* | double | 200.00 |\n| credit* | int | 100 |\n| isBlocked* | bool | false |\n| isRegistered* | bool | false |\n| lastrequestid* | string | 0xcf30613db6a84(hashvalue) |",1]
["| DeviceSpeciﬁcations | ValueUnit | Example |\n| --- | --- | --- |\n| accountaddress | string | 0xc968efa8019d(hashvalue) |\n| networkport | int | 42024 |\n| input/outputdata | string | video,audio,text |","| RangeofNetworkvaluesforutilization | (0-1000) |\n| --- | --- |\n| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |\n| RangeofSLAvaluesofVMs | (0-2) |\n| RangeofnumberofVMsforcloudservices | (1-6) |\n| Numberofcloudservices | (1-1) |\n| Probabilitydistribution | Random |",0]
["| Position | Estimated | Actual | Diﬀerence |\n| --- | --- | --- | --- |\n| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |\n| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 |","| C | ◦<br>166.83 | ◦<br>166.88 | ◦<br>0.05 |\n| --- | --- | --- | --- |\n| D | ◦<br>180.37 | ◦<br>181.63 | ◦<br>1.26 |\n| E | ◦<br>195.93 | ◦<br>197.80 | ◦<br>1.87 |\n| F | ◦<br>214.24 | ◦<br>215.53 | ◦<br>1.29 |",1]
["| Position | Estimated | Actual | Diﬀerence |\n| --- | --- | --- | --- |\n| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |\n| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Position | Estimated | Actual | Diﬀerence |\n| --- | --- | --- | --- |\n| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |\n| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 |\n| C | ◦<br>166.83 | ◦<br>166.88 | ◦<br>0.05 |","| D | ◦<br>180.37 | ◦<br>181.63 | ◦<br>1.26 |\n| --- | --- | --- | --- |\n| E | ◦<br>195.93 | ◦<br>197.80 | ◦<br>1.87 |\n| F | ◦<br>214.24 | ◦<br>215.53 | ◦<br>1.29 |",1]
["| Position | Estimated | Actual | Diﬀerence |\n| --- | --- | --- | --- |\n| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |\n| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 |\n| C | ◦<br>166.83 | ◦<br>166.88 | ◦<br>0.05 |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |\n|  | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |\n|  | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |","| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 |",1]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |\n|  | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |\n|  | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |","| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |\n|  | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |\n|  | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |\n| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |\n| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |\n| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |\n| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 |",0]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |\n|  | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |\n|  | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |","| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 |",1]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |\n|  | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |\n|  | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |","|  | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |\n| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |\n| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |\n| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| CombinationsofeventdetectorsMAP |\n| --- |\n| R0.182610p |\n| T⊕T⊕P0.174301010<br>T⊕T⊕R0.166201010<br>T⊕T⊕R0.164701010p |","| P⊕R0.18931010<br>P⊕R0.19711010p<br>P⊕R⊕R0.1965101010p |\n| --- |\n| R⊕R0.20111010p |",1]
["| CombinationsofeventdetectorsMAP |\n| --- |\n| R0.182610p |\n| T⊕T⊕P0.174301010<br>T⊕T⊕R0.166201010<br>T⊕T⊕R0.164701010p |","|  | Bit | CNT2 | CNT1 |\n| --- | --- | --- | --- |\n| Conv-FF | 16 | H,WKK | W×HKK |\n| Conv-BP | 32 | H,WKK | W×HKK |\n| Conv-UP | 32 | P,L | L |\n| FC-FF | 16 | P,L | L |\n| FC-BP | 32 | P,L | L |\n| FC-UP | 32 | h | 1 |",0]
["| CombinationsofeventdetectorsMAP |\n| --- |\n| R0.182610p |","| T⊕T⊕P0.174301010<br>T⊕T⊕R0.166201010<br>T⊕T⊕R0.164701010p |\n| --- |\n| P⊕R0.18931010<br>P⊕R0.19711010p<br>P⊕R⊕R0.1965101010p |\n| R⊕R0.20111010p |",1]
["| CombinationsofeventdetectorsMAP |\n| --- |\n| R0.182610p |","| FC-BP | 32 | P,L | L |\n| --- | --- | --- | --- |\n| FC-UP | 32 | h | 1 |",0]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |\n| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |","| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| --- | --- | --- | --- | --- | --- |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",1]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |\n| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |","| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |\n| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |\n| 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |\n| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 |",0]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |\n| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |","| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |\n| --- | --- | --- | --- | --- | --- |\n| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 |",1]
["| TSS | P1 | P2 | P3 | P4 | P5 |\n| --- | --- | --- | --- | --- | --- |\n| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |\n| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |","| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |\n| --- | --- | --- | --- | --- | --- |\n| 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |\n| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 |",0]
["| Facts | Numberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |\n| Date | 500 |\n| Part | 1000 |\n| Documents | Size(MB) |","| facts.xmlsales | 2.14 |\n| --- | --- |\n| dimension.xmlCustomer | 0.431 |\n| dimension.xmlSupplier | 0.485 |\n| dimension.xmlDate | 0.104 |\n| dimension.xmlPart | 0.388 |",1]
["| Facts | Numberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |\n| Date | 500 |\n| Part | 1000 |\n| Documents | Size(MB) |","| Facts | Maximumnumberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |\n| Date | 500 |\n| Part | 1000 |\n| Documents | Size(MB) |\n| facts.xmlsales | 2.14 |\n| dimension.xmlCustomer | 0.431 |\n| dimension.xmlSupplier | 0.485 |\n| dimension.xmlDate | 0.104 |\n| dimension.xmlPart | 0.388 |",0]
["| Facts | Numberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |","| Date | 500 |\n| --- | --- |\n| Part | 1000 |\n| Documents | Size(MB) |\n| facts.xmlsales | 2.14 |\n| dimension.xmlCustomer | 0.431 |\n| dimension.xmlSupplier | 0.485 |\n| dimension.xmlDate | 0.104 |\n| dimension.xmlPart | 0.388 |",1]
["| Facts | Numberofcells |\n| --- | --- |\n| Salefacts | 7000 |\n| Dimensions | Numberofinstances |\n| Customer | 1000 |\n| Supplier | 1000 |","| Date | 500 |\n| --- | --- |\n| Part | 1000 |\n| Documents | Size(MB) |\n| facts.xmlsales | 2.14 |\n| dimension.xmlCustomer | 0.431 |\n| dimension.xmlSupplier | 0.485 |\n| dimension.xmlDate | 0.104 |\n| dimension.xmlPart | 0.388 |",0]
["| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |","| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| --- | --- | --- | --- |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",1]
["| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |","| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |\n| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |\n| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",0]
["| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |","| Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |\n| --- | --- | --- | --- |\n| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |\n| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 |",1]
["| Parameter | 32-bit |  |  |\n| --- | --- | --- | --- |\n| Silicon | Carbon | Silicon |  |\n| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ |","| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |\n| --- | --- | --- | --- |\n| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 |",0]
["|  | RGBD1000 | NJUDS2000 |\n| --- | --- | --- |\n| DRFI | 0.597689 | 0.631111 |\n| DSR | 0.556269 | 0.599731 |","| LMH | 0.667106 | 0.611340 |\n| --- | --- | --- |\n| ACSD | 0.535048 | 0.696379 |\n| GP | 0.723314 | 0.655915 |\n| LBE | 0.727232 | 0.729319 |\n| ELD | 0.724766 | 0.764561 |\n| DHS | 0.787486 | 0.817152 |\n| Ours | 0.847635 | 0.821269 |",1]
["|  | RGBD1000 | NJUDS2000 |\n| --- | --- | --- |\n| DRFI | 0.597689 | 0.631111 |\n| DSR | 0.556269 | 0.599731 |","|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["|  | RGBD1000 | NJUDS2000 |\n| --- | --- | --- |\n| DRFI | 0.597689 | 0.631111 |\n| DSR | 0.556269 | 0.599731 |\n| LMH | 0.667106 | 0.611340 |\n| ACSD | 0.535048 | 0.696379 |\n| GP | 0.723314 | 0.655915 |","| LBE | 0.727232 | 0.729319 |\n| --- | --- | --- |\n| ELD | 0.724766 | 0.764561 |\n| DHS | 0.787486 | 0.817152 |\n| Ours | 0.847635 | 0.821269 |",1]
["|  | RGBD1000 | NJUDS2000 |\n| --- | --- | --- |\n| DRFI | 0.597689 | 0.631111 |\n| DSR | 0.556269 | 0.599731 |\n| LMH | 0.667106 | 0.611340 |\n| ACSD | 0.535048 | 0.696379 |\n| GP | 0.723314 | 0.655915 |","| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| --- | --- | --- | --- | --- | --- |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 |","| SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 |\n| --- | --- | --- | --- | --- | --- |\n| NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 |\n| NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |",1]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 |","| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| EyesRemoved | Subspace | 0.0077 | 0.0068 | 0.0021 | 0.0210 |\n| EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |\n| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |\n| RandomDroppedEvidence | MemoryTable | 0.0055 | 0.0053 | 0.0023 | 0.0111 |\n| Colorization | Subspace | 0.0020 | 0.0015 | 0.0004 | 0.0071 |\n| Colorization | MemoryTable | 0.0018 | 0.0016 | 0.0005 | 0.0047 |\n| NoisyEvidence | Subspace | 0.0050 | 0.0049 | 0.0040 | 0.0064 |\n| NoisyEvidence | MemoryTable | 0.0058 | 0.0055 | 0.0035 | 0.0106 |",0]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 |\n| SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 |","| NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 |\n| --- | --- | --- | --- | --- | --- |\n| NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |",1]
["| ProblemType | FactorType | Mean | Median | Best | Worst |\n| --- | --- | --- | --- | --- | --- |\n| SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 |\n| SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 |","| EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |\n| --- | --- | --- | --- | --- | --- |\n| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |\n| RandomDroppedEvidence | MemoryTable | 0.0055 | 0.0053 | 0.0023 | 0.0111 |\n| Colorization | Subspace | 0.0020 | 0.0015 | 0.0004 | 0.0071 |\n| Colorization | MemoryTable | 0.0018 | 0.0016 | 0.0005 | 0.0047 |\n| NoisyEvidence | Subspace | 0.0050 | 0.0049 | 0.0040 | 0.0064 |\n| NoisyEvidence | MemoryTable | 0.0058 | 0.0055 | 0.0035 | 0.0106 |",0]
["| Layer | Generator |  |\n| --- | --- | --- |\n|  |  |  |","| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Yes<br>Yes<br>Yes<br>Yes<br>No |\n| --- | --- | --- | --- |\n|  | Discriminator |  |  |\n|  | View1 | View2 | Shared? |\n| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | No<br>No<br>No<br>No<br>Yes |",1]
["| Layer | Generator |  |\n| --- | --- | --- |\n|  |  |  |","| layer | type | kernelsize/stride | output | layer | type |\n| --- | --- | --- | --- | --- | --- |\n| 1-2 | conv+relu | (3,3)/1-(1,1)/1 | (128,128,32) | 13-14 | conv+relu |\n| 3-4 | conv+relu | (3,3)/2-(1,1)/1 | (64,64,32) | 15 | maxpool |\n| 5 | maxpool | (3,3)/2 | (32,32,32) | 16-17 | conv+relu |\n| 6-7 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 18-19 | conv+relu |\n| 8-9 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 20 | fc+relu+dropout |\n| 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |\n| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc |",0]
["| Layer | Generator |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Yes<br>Yes<br>Yes<br>Yes<br>No |","|  | Discriminator |  |  |\n| --- | --- | --- | --- |\n|  | View1 | View2 | Shared? |\n| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | No<br>No<br>No<br>No<br>Yes |",1]
["| Layer | Generator |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Yes<br>Yes<br>Yes<br>Yes<br>No |","| 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |\n| --- | --- | --- | --- | --- | --- |\n| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| K | Numberofdevices |","| k | Indexofdevices,k∈{1,K} |\n| --- | --- |\n| wk | Weightofdevicek |\n| M | Numberofobjects |\n| m | Indexofobjects,m∈{1,M} |\n| xm | Observedvalueofdevicekforobjectm |\n| xm | Truthfortheobjectm |\n| stdm | Thestandarddeviationforthem-thobject |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| K | Numberofdevices |","| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| K | Numberofdevices |\n| k | Indexofdevices,k∈{1,K} |\n| wk | Weightofdevicek |\n| M | Numberofobjects |","| m | Indexofobjects,m∈{1,M} |\n| --- | --- |\n| xm | Observedvalueofdevicekforobjectm |\n| xm | Truthfortheobjectm |\n| stdm | Thestandarddeviationforthem-thobject |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| K | Numberofdevices |\n| k | Indexofdevices,k∈{1,K} |\n| wk | Weightofdevicek |\n| M | Numberofobjects |","| ρc | Desiredcolumnactivitylevel |\n| --- | --- |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| ActionType | #UniqueArgs | RawCount |\n| --- | --- | --- |\n| SHIFT | 1 | 2,206,274 |\n| STOP | 1 | 111,006 |\n| EVOKE | 5,532 | 1,080,365 |\n| CONNECT | 1,421 | 635,734 |","| ASSIGN | 13 | 5,430 |\n| --- | --- | --- |\n| Total | 6,968 | 4,038,809 |",1]
["| ActionType | #UniqueArgs | RawCount |\n| --- | --- | --- |\n| SHIFT | 1 | 2,206,274 |\n| STOP | 1 | 111,006 |\n| EVOKE | 5,532 | 1,080,365 |\n| CONNECT | 1,421 | 635,734 |","| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |\n| --- | --- | --- | --- | --- |\n| Ev101 | BirthdayParty | 237 | 6 | 5 |\n| Ev102 | FlashMob | 150 | 33 | 4 |\n| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |\n| Ev104 | Parade | 230 | 4 | 4 |\n| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |\n| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |\n| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |\n| Ev108 | PersonLandingaFish | 143 | 15 | 9 |\n| Ev109 | WeddingCeremony | 219 | 2 | 6 |\n| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |\n|  | Total | 1823 | 115 | 62 |",0]
["| ActionType | #UniqueArgs | RawCount |\n| --- | --- | --- |\n| SHIFT | 1 | 2,206,274 |\n| STOP | 1 | 111,006 |\n| EVOKE | 5,532 | 1,080,365 |\n| CONNECT | 1,421 | 635,734 |","| ASSIGN | 13 | 5,430 |\n| --- | --- | --- |\n| Total | 6,968 | 4,038,809 |",1]
["| ActionType | #UniqueArgs | RawCount |\n| --- | --- | --- |\n| SHIFT | 1 | 2,206,274 |\n| STOP | 1 | 111,006 |\n| EVOKE | 5,532 | 1,080,365 |\n| CONNECT | 1,421 | 635,734 |","| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |\n| --- | --- | --- | --- | --- |\n| Ev104 | Parade | 230 | 4 | 4 |\n| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |\n| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |\n| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |\n| Ev108 | PersonLandingaFish | 143 | 15 | 9 |\n| Ev109 | WeddingCeremony | 219 | 2 | 6 |\n| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |\n|  | Total | 1823 | 115 | 62 |",0]
["| Graph | #Nodes | #Links | Diameter |\n| --- | --- | --- | --- |\n| PL1 | 10,000 | 29,990 | 7 |\n| PL2 | 10,000 | 49,970 | 6 |\n| PL3 | 10,000 | 99,872 | 5 |\n| ER1 | 10,000 | 30,076 | 10 |","| ER2 | 10,000 | 50,424 | 7 |\n| --- | --- | --- | --- |\n| ER3 | 10,000 | 99,615 | 5 |",1]
["| Graph | #Nodes | #Links | Diameter |\n| --- | --- | --- | --- |\n| PL1 | 10,000 | 29,990 | 7 |\n| PL2 | 10,000 | 49,970 | 6 |\n| PL3 | 10,000 | 99,872 | 5 |\n| ER1 | 10,000 | 30,076 | 10 |","| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["| Graph | #Nodes | #Links | Diameter |\n| --- | --- | --- | --- |\n| PL1 | 10,000 | 29,990 | 7 |\n| PL2 | 10,000 | 49,970 | 6 |\n| PL3 | 10,000 | 99,872 | 5 |\n| ER1 | 10,000 | 30,076 | 10 |","| ER2 | 10,000 | 50,424 | 7 |\n| --- | --- | --- | --- |\n| ER3 | 10,000 | 99,615 | 5 |",1]
["| Graph | #Nodes | #Links | Diameter |\n| --- | --- | --- | --- |\n| PL1 | 10,000 | 29,990 | 7 |\n| PL2 | 10,000 | 49,970 | 6 |\n| PL3 | 10,000 | 99,872 | 5 |\n| ER1 | 10,000 | 30,076 | 10 |","| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| --- | --- | --- | --- |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",0]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 2860 | 573 |","| Schneider | 1iter/pix | 380 | 590 |\n| --- | --- | --- | --- |\n| Schneider | 0.1iter/pix | 85 | 617 |\n| Ourapproach | 1iter/pix | 14020 | 532 |\n| Ourapproach | 0.1iter/pix | 1420 | 555 |",1]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 2860 | 573 |","|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 4110 | 904 |\n| Schneider | 1iter/pix | 550 | 939 |\n| Schneider | 0.1iter/pix | 115 | 983 |\n| Ourapproach | 1iter/pix | 14735 | 663 |\n| Ourapproach | 0.1iter/pix | 1483 | 744 |",0]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 2860 | 573 |\n| Schneider | 1iter/pix | 380 | 590 |\n| Schneider | 0.1iter/pix | 85 | 617 |","| Ourapproach | 1iter/pix | 14020 | 532 |\n| --- | --- | --- | --- |\n| Ourapproach | 0.1iter/pix | 1420 | 555 |",1]
["|  |  | Time(ms) | #Points |\n| --- | --- | --- | --- |\n| Schneider | 10iter/pix | 2860 | 573 |\n| Schneider | 1iter/pix | 380 | 590 |\n| Schneider | 0.1iter/pix | 85 | 617 |","| Schneider | 1iter/pix | 550 | 939 |\n| --- | --- | --- | --- |\n| Schneider | 0.1iter/pix | 115 | 983 |\n| Ourapproach | 1iter/pix | 14735 | 663 |\n| Ourapproach | 0.1iter/pix | 1483 | 744 |",0]
["| Question | Europe | N.America | Asia | NA/Asiagap |\n| --- | --- | --- | --- | --- |\n| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |\n| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |\n| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 |","| RetailSalesperson | 18.8 | 20.2 | 10.0 | +10.2 |\n| --- | --- | --- | --- | --- |\n| AIResearcher | 80.0 | 123.6 | 109.0 | +14.6 |",1]
["| Question | Europe | N.America | Asia | NA/Asiagap |\n| --- | --- | --- | --- | --- |\n| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |\n| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |\n| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 |","| Country | PowerDist. | Individualism | Masculinity |\n| --- | --- | --- | --- |\n| Chile | 63 | 23 | 28 |\n| China | 80 | 20 | 66 |\n| Germany | 35 | 67 | 66 |\n| Greece | 60 | 35 | 57 |\n| India | 77 | 48 | 56 |\n| Italy | 50 | 76 | 70 |\n| Norway | 31 | 69 | 8 |\n| Pakistan | 55 | 14 | 50 |\n| Russia | 93 | 39 | 36 |\n| Spain | 57 | 51 | 42 |\n| UK | 35 | 89 | 66 |\n| USA | 40 | 91 | 62 |",0]
["| Question | Europe | N.America | Asia | NA/Asiagap |\n| --- | --- | --- | --- | --- |\n| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |\n| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |\n| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 |","| RetailSalesperson | 18.8 | 20.2 | 10.0 | +10.2 |\n| --- | --- | --- | --- | --- |\n| AIResearcher | 80.0 | 123.6 | 109.0 | +14.6 |",1]
["| Question | Europe | N.America | Asia | NA/Asiagap |\n| --- | --- | --- | --- | --- |\n| FullAutomation | 130.8 | 168.6 | 104.2 | +64.4 |\n| TruckDriver | 13.2 | 10.6 | 10.2 | +0.4 |\n| Surgeon | 46.4 | 41.0 | 31.4 | +9.6 |","| Pakistan | 55 | 14 | 50 |\n| --- | --- | --- | --- |\n| Russia | 93 | 39 | 36 |\n| Spain | 57 | 51 | 42 |\n| UK | 35 | 89 | 66 |\n| USA | 40 | 91 | 62 |",0]
["| Problem | Input | Output |\n| --- | --- | --- |\n| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei |","| M-STR-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubstringi |\n| --- | --- | --- |\n| M-SEQ-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubsequencei |\n| M-STR-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubstringi |",1]
["| Problem | Input | Output |\n| --- | --- | --- |\n| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei |","| Problem | Input | Output |\n| --- | --- | --- |\n| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |\n| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |\n| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |\n| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring |",0]
["| Problem | Input | Output |\n| --- | --- | --- |\n| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei |","| M-STR-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubstringi |\n| --- | --- | --- |\n| M-SEQ-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubsequencei |\n| M-STR-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubstringi |",1]
["| Problem | Input | Output |\n| --- | --- | --- |\n| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei |","| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |\n| --- | --- | --- |\n| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring |",0]
["| CommonOperations |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| FeatureExtract | 8.7 | 1.56 | 12.03 |\n| ParameterInit | 0.002 | 0.002 | 0.003 |\n| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |\n| TripleKeysGen | 0.002 | 0.002 | 0.003 |\n| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |\n| OperationsofPIC-sfv |  |  |  |\n| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 |","| KeyModiﬁcation(perSIFT-Vec) | 0.052 | 0.048 | 0.063 |\n| --- | --- | --- | --- |\n| HomomorphicEuclideanDistance | 0.031 | 0.029 | 0.033 |\n| OperationofPIC-wfv |  |  |  |\n|  | Mean | Min | Max |\n| Freq-VecGen | 0.70 | 0.005 | 3.84 |\n| EncryptOneFreq-Vec | 1.93 | 1.59 | 2.67 |\n| KeyModiﬁcation(perFreq-Vec) | 0.29 | 0.25 | 0.85 |\n| HomomorphicDotProduct | 0.20 | 0.18 | 0.33 |",1]
["| CommonOperations |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| FeatureExtract | 8.7 | 1.56 | 12.03 |\n| ParameterInit | 0.002 | 0.002 | 0.003 |\n| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |\n| TripleKeysGen | 0.002 | 0.002 | 0.003 |\n| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |\n| OperationsofPIC-sfv |  |  |  |\n| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 |","| CommonData |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| Key | 0.84 | 0.19 | 1.4 |\n| AccessTree | 0.18 | 0.03 | 0.63 |\n| EncryptedDistance | 0.56 | 0.41 | 0.65 |\n| DataofPIC-sfv |  |  |  |\n| EncryptedSIFT-Vec | 64 | 62.8 | 65.1 |\n| DataofPIC-wfv |  |  |  |\n|  | Mean | Min | Max |\n| EncryptedFreq-Vec | 580 | 578.9 | 581.2 |",0]
["| CommonOperations |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| FeatureExtract | 8.7 | 1.56 | 12.03 |\n| ParameterInit | 0.002 | 0.002 | 0.003 |\n| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |\n| TripleKeysGen | 0.002 | 0.002 | 0.003 |\n| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |","| OperationsofPIC-sfv |  |  |  |\n| --- | --- | --- | --- |\n| EncryptOneSIFT-Vec | 0.034 | 0.03 | 0.047 |\n| KeyModiﬁcation(perSIFT-Vec) | 0.052 | 0.048 | 0.063 |\n| HomomorphicEuclideanDistance | 0.031 | 0.029 | 0.033 |\n| OperationofPIC-wfv |  |  |  |\n|  | Mean | Min | Max |\n| Freq-VecGen | 0.70 | 0.005 | 3.84 |\n| EncryptOneFreq-Vec | 1.93 | 1.59 | 2.67 |\n| KeyModiﬁcation(perFreq-Vec) | 0.29 | 0.25 | 0.85 |\n| HomomorphicDotProduct | 0.20 | 0.18 | 0.33 |",1]
["| CommonOperations |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| FeatureExtract | 8.7 | 1.56 | 12.03 |\n| ParameterInit | 0.002 | 0.002 | 0.003 |\n| MasterKeyGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| KA&CSKeysGen | 0.001 | 0.001 | 0.001 |\n| TripleKeysGen | 0.002 | 0.002 | 0.003 |\n| AccessTreeGen | ¡0.001 | ¡0.001 | ¡0.001 |\n| DecryptDistance | ¡0.001 | ¡0.001 | ¡0.001 |","| DataofPIC-wfv |  |  |  |\n| --- | --- | --- | --- |\n|  | Mean | Min | Max |\n| EncryptedFreq-Vec | 580 | 578.9 | 581.2 |",0]
["| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |\n| c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |\n| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) |","| t1,7 | (60,75,75) | t1,8 | (59,76,76) | t1,9 | (58,77,77) | t1,10 | (57,78,78) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| t1,11 | (56,79,79) | t1,12 | (55,80,80) | t1,13 | (54,81,81) | t1,14 | (53,82,82) |\n| t1,15 | (52,82,82) | f1,1 | (65,67,67) | f1,2 | (64,68,68) | f1,3 | (63,69,69) |\n| f1,4 | (62,70,70) | f1,5 | (61,71,71) | f1,6 | (60,72,72) | f1,7 | (59,73,73) |\n| f1,8 | (58,74,74) | f1,9 | (57,75,75) | f1,10 | (56,76,76) | f1,11 | (55,77,77) |\n| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |\n| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |\n| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |\n| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |\n| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |\n| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |\n| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |\n| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |\n| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |\n| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |\n| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |\n| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |\n| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |\n| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |\n| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |\n| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) |",1]
["| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |\n| c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |\n| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) |","| v | ρ(v) | d | v | ρ(v) | d |\n| --- | --- | --- | --- | --- | --- |\n| T1 | (−0.7,1.61) | (4,3,3) | f1,0 | (0.62,−0.48) | (1,3,2) |\n| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |\n| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |\n| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |\n| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |\n| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |\n| a2 | (−1.68,−0.86) | (4,0,4) | f1,1 | (0.79,−1.46) | (2,4,3) |\n| a3 | (1.62,0.34) | (3,4,0) | t2,1 | (−1.97,1.27) | (5,3,5) |\n| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |\n| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |\n| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |\n| t1,0 | (−0.15,−1.11) | (2,4,3) |  |  |  |",0]
["| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |","| c2 | (68,68,67) | c3 | (68,67,68) | t1,1 | (66,69,69) | t1,2 | (65,70,70) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| t1,3 | (64,71,71) | t1,4 | (63,72,72) | t1,5 | (62,73,73) | t1,6 | (61,74,74) |\n| t1,7 | (60,75,75) | t1,8 | (59,76,76) | t1,9 | (58,77,77) | t1,10 | (57,78,78) |\n| t1,11 | (56,79,79) | t1,12 | (55,80,80) | t1,13 | (54,81,81) | t1,14 | (53,82,82) |\n| t1,15 | (52,82,82) | f1,1 | (65,67,67) | f1,2 | (64,68,68) | f1,3 | (63,69,69) |\n| f1,4 | (62,70,70) | f1,5 | (61,71,71) | f1,6 | (60,72,72) | f1,7 | (59,73,73) |\n| f1,8 | (58,74,74) | f1,9 | (57,75,75) | f1,10 | (56,76,76) | f1,11 | (55,77,77) |\n| f1,12 | (54,78,78) | f1,13 | (53,79,79) | f1,14 | (52,80,80) | f1,15 | (51,81,81) |\n| t2,1 | (69,66,69) | t2,2 | (70,65,70) | t2,3 | (71,64,71) | t2,4 | (72,63,72) |\n| t2,5 | (73,62,73) | t2,6 | (74,61,74) | t2,7 | (75,60,75) | t2,8 | (76,59,76) |\n| t2,9 | (77,58,77) | t2,10 | (78,57,78) | t2,11 | (79,56,79) | t2,12 | (80,55,80) |\n| t2,13 | (81,54,81) | t2,14 | (82,53,82) | t2,15 | (82,52,82) | f2,1 | (67,65,67) |\n| f2,2 | (68,64,68) | f2,3 | (69,63,69) | f2,4 | (70,62,70) | f2,5 | (71,61,71) |\n| f2,6 | (72,60,72) | f2,7 | (73,59,73) | f2,8 | (74,58,74) | f2,9 | (75,57,75) |\n| f2,10 | (76,56,76) | f2,11 | (77,55,77) | f2,12 | (78,54,78) | f2,13 | (79,53,79) |\n| f2,14 | (80,52,80) | f2,15 | (81,51,81) | t3,1 | (69,69,66) | t3,2 | (70,70,65) |\n| t3,3 | (71,71,64) | t3,4 | (72,72,63) | t3,5 | (73,73,62) | t3,6 | (74,74,61) |\n| t3,7 | (75,75,60) | t3,8 | (76,76,59) | t3,9 | (77,77,58) | t3,10 | (78,78,57) |\n| t3,11 | (79,79,56) | t3,12 | (80,80,55) | t3,13 | (81,81,54) | t3,14 | (82,82,53) |\n| t3,15 | (82,82,52) | f3,1 | (67,67,65) | f3,2 | (68,68,64) | f3,3 | (69,69,63) |\n| f3,4 | (70,70,62) | f3,5 | (71,71,61) | f3,6 | (72,72,60) | f3,7 | (73,73,59) |\n| f3,8 | (74,74,58) | f3,9 | (75,75,57) | f3,10 | (76,76,56) | f3,11 | (77,77,55) |\n| f3,12 | (78,78,54) | f3,13 | (79,79,53) | f3,14 | (80,80,52) | f3,15 | (81,81,51) |",1]
["| v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz | v | (d,d,d)xyz |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| m | (66,66,66) | w1 | (67,67,67) | w2 | (67,67,67) | c1 | (67,68,68) |","| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |\n| --- | --- | --- | --- | --- | --- |\n| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |\n| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |\n| t1,0 | (−0.15,−1.11) | (2,4,3) |  |  |  |",0]
["|  | DistanceResults | TimeResults |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |\n| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |\n| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 |\n| brownrathuman | 1083 | 17858 | 17900 | 3725.76 | 12.14 | 12.19 |\n| brownratmouse | 790 | 15433 | 15445 | 3725.66 | 14.51 | 15.06 |","| chickengorilla | 1491 | 16379 | 16421 | 3725.62 | 7.54 | 7.57 |\n| --- | --- | --- | --- | --- | --- | --- |\n| chickenhuman | 1521 | 16231 | 16276 | 3725.65 | 7.74 | 7.47 |\n| chickenmouse | 1528 | 15712 | 15745 | 3726.03 | 9.82 | 8.16 |\n| gorillahuman | 486 | 17798 | 17798 | 3607.63 | 13.94 | 13.81 |\n| gorillamouse | 860 | 18914 | 18935 | 4816.31 | 12.60 | 12.13 |\n| humanmouse | 749 | 18126 | 18144 | 94.64 | 12.45 | 12.61 |",1]
["|  | DistanceResults | TimeResults |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |\n| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |\n| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 |\n| brownrathuman | 1083 | 17858 | 17900 | 3725.76 | 12.14 | 12.19 |\n| brownratmouse | 790 | 15433 | 15445 | 3725.66 | 14.51 | 15.06 |","| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["|  | DistanceResults | TimeResults |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |\n| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |\n| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 |","| brownrathuman | 1083 | 17858 | 17900 | 3725.76 | 12.14 | 12.19 |\n| --- | --- | --- | --- | --- | --- | --- |\n| brownratmouse | 790 | 15433 | 15445 | 3725.66 | 14.51 | 15.06 |\n| chickengorilla | 1491 | 16379 | 16421 | 3725.62 | 7.54 | 7.57 |\n| chickenhuman | 1521 | 16231 | 16276 | 3725.65 | 7.74 | 7.47 |\n| chickenmouse | 1528 | 15712 | 15745 | 3726.03 | 9.82 | 8.16 |\n| gorillahuman | 486 | 17798 | 17798 | 3607.63 | 13.94 | 13.81 |\n| gorillamouse | 860 | 18914 | 18935 | 4816.31 | 12.60 | 12.13 |\n| humanmouse | 749 | 18126 | 18144 | 94.64 | 12.45 | 12.61 |",1]
["|  | DistanceResults | TimeResults |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Data | GREDO | Exem | Matc | GREDO | Exem | Matc |\n| brownratchicken | 1678 | 24546 | 24704 | 3604.28 | 172.73 | 7.45 |\n| brownratgorilla | 1274 | 17922 | 17966 | 5707.13 | 12.64 | 12.10 |","| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 282.42 | 188 | - |","| GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 |\n| --- | --- | --- | --- | --- |\n| M=5,µ=0.25,σ=0.09630 |  |  |  |  |\n| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |\n| M=10,µ=0.1111,σ=0.04890 |  |  |  |  |\n| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |\n| M=20,µ=0.0526,σ=0.02600 |  |  |  |  |\n| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 |\n| M=30,µ=0.0345,σ=0.01780 |  |  |  |  |\n| CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 |",1]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 282.42 | 188 | - |","| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 1740.47 | 103 | - |\n| GKKM | 0.0446±0.0015 | 568.10 | 13 | 0.5066 |\n| M=5,µ=0.25,σ=0.24920 |  |  |  |  |\n| CCBS<br>GCBS | 0.0659±0.0037<br>0.0650±0.0036 | 513.21<br>533.48 | 6<br>6 | 0.2499<br>0.2499 |\n| M=10,µ=0.1111,σ=0.10170 |  |  |  |  |\n| CCBS<br>GCBS | 0.0435±0.0016<br>0.0500±0.0023 | 495.13<br>497.92 | 12<br>12 | 0.1024<br>0.1019 |\n| M=20,µ=0.0526,σ=0.05030 |  |  |  |  |\n| CCBS<br>GCBS | 0.0301±0.0008<br>0.0309±0.0009 | 488.67<br>488.66 | 21<br>21 | 0.0433<br>0.0472 |\n| M=30,µ=0.0345,σ=0.03360 |  |  |  |  |\n| CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 |",0]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 282.42 | 188 | - |\n| GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 |\n| M=5,µ=0.25,σ=0.09630 |  |  |  |  |\n| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |\n| M=10,µ=0.1111,σ=0.04890 |  |  |  |  |\n| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |\n| M=20,µ=0.0526,σ=0.02600 |  |  |  |  |\n| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 |","| M=30,µ=0.0345,σ=0.01780 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.0378±0.0010<br>0.0395±0.0011 | 20.6932<br>20.4790 | 35<br>34 | 0.0333<br>0.0300 |",1]
["| Strategy | RMSE±STD | CPUTime | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | - | 282.42 | 188 | - |\n| GKKM | 0.0777±0.0036 | 19.289 | 13 | 0.8162 |\n| M=5,µ=0.25,σ=0.09630 |  |  |  |  |\n| CCBS<br>GCBS | 0.0805±0.0038<br>0.0833±0.0040 | 18.4835<br>17.7114 | 9<br>9 | 0.2495<br>0.2483 |\n| M=10,µ=0.1111,σ=0.04890 |  |  |  |  |\n| CCBS<br>GCBS | 0.0659±0.0027<br>0.0695±0.0029 | 15.2023<br>14.5721 | 16<br>15 | 0.1090<br>0.1090 |\n| M=20,µ=0.0526,σ=0.02600 |  |  |  |  |\n| CCBS<br>GCBS | 0.0477±0.0015<br>0.0484±0.0015 | 17.0942<br>16.9595 | 25<br>25 | 0.0471<br>0.0493 |","| M=30,µ=0.0345,σ=0.03360 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.0260±0.0007<br>0.0263±0.0007 | 535.64<br>538.63 | 26<br>26 | 0.0336<br>0.0336 |",0]
["| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |","| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |\n| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",1]
["| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |","| 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |\n| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |\n| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",0]
["| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |","| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",1]
["| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |","| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",0]
["| Dim | 300 | 400 | 500 | 600 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |\n| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |\n| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |\n| Dim | 700 | 800 | 900 | 1000 |  |  |  |  |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 |","| esslli | 54.55 | 54.55 | 68.18 | 56.82 | 72.73 | 72.73 | 52.27 | 52.27 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| battig | 62.96 | 66.67 | 67.9 | 69.14 | 49.38 | 59.26 | 51.85 | 46.91 |",1]
["| Dim | 300 | 400 | 500 | 600 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |\n| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |\n| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |\n| Dim | 700 | 800 | 900 | 1000 |  |  |  |  |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 |","| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |\n| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |\n| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |\n| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |\n| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |\n| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |\n| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |\n| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",0]
["| Dim | 300 | 400 | 500 | 600 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |\n| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |\n| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |\n| Dim | 700 | 800 | 900 | 1000 |  |  |  |  |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 |","| esslli | 54.55 | 54.55 | 68.18 | 56.82 | 72.73 | 72.73 | 52.27 | 52.27 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| battig | 62.96 | 66.67 | 67.9 | 69.14 | 49.38 | 59.26 | 51.85 | 46.91 |",1]
["| Dim | 300 | 400 | 500 | 600 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |\n| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |\n| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |\n| Dim | 700 | 800 | 900 | 1000 |  |  |  |  |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 |","| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| --- | --- | --- | --- | --- | --- |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |\n| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",0]
["| Multi-streamattentiveprocessing | Patchylandscapeforaging |\n| --- | --- |\n| Observer | Forager |\n| Observer’sgazeshift | Forager’srelocation |\n| Videostream | Patch |\n| Proto-object | Candidateprey |\n| Detectedobject | Prey |\n| Streamselection | Patchchoice |","| Deployingattentiontoobject | Preychoiceandhandling |\n| --- | --- |\n| Disengagingfromobject | Preyleave |\n| Streamleave | Patchleaveorgiving-up |",1]
["| Multi-streamattentiveprocessing | Patchylandscapeforaging |\n| --- | --- |\n| Observer | Forager |\n| Observer’sgazeshift | Forager’srelocation |\n| Videostream | Patch |\n| Proto-object | Candidateprey |\n| Detectedobject | Prey |\n| Streamselection | Patchchoice |","| supervision | task |\n| --- | --- |\n| unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd.<br>unspvd. | detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection<br>detection |\n| spvd.<br>spvd. | detection<br>detection |\n| spvd. | existence |\n| localization |  |\n| spvd. | existence |\n| counting |  |\n| weaklyspvd. | detection |\n| spvd.+latent | existence |",0]
["| Multi-streamattentiveprocessing | Patchylandscapeforaging |\n| --- | --- |\n| Observer | Forager |\n| Observer’sgazeshift | Forager’srelocation |\n| Videostream | Patch |\n| Proto-object | Candidateprey |","| Detectedobject | Prey |\n| --- | --- |\n| Streamselection | Patchchoice |\n| Deployingattentiontoobject | Preychoiceandhandling |\n| Disengagingfromobject | Preyleave |\n| Streamleave | Patchleaveorgiving-up |",1]
["| Multi-streamattentiveprocessing | Patchylandscapeforaging |\n| --- | --- |\n| Observer | Forager |\n| Observer’sgazeshift | Forager’srelocation |\n| Videostream | Patch |\n| Proto-object | Candidateprey |","| weaklyspvd. | detection |\n| --- | --- |\n| spvd.+latent | existence |",0]
["|  | Count |\n| --- | --- |\n| Writers | 1001(M:561,F:440) |","| Pages | 4512 |\n| --- | --- |\n| Avg.Pages/Writer | 4 |\n| Lines | 31124 |\n| SegmentedWords | 152680 |\n| SegmentedCharacters | 106433 |\n| PAWs | 325508 |",1]
["|  | Count |\n| --- | --- |\n| Writers | 1001(M:561,F:440) |","| Set | Files | Words | Characters | Writers |\n| --- | --- | --- | --- | --- |\n| 1 | 5037 | 7670 | 40500 | 56 |\n| 2 | 5090 | 7851 | 41515 | 37 |\n| 3 | 5031 | 7730 | 40544 | 39 |\n| 4 | 4417 | 6671 | 35253 | 41 |",0]
["|  | Count |\n| --- | --- |\n| Writers | 1001(M:561,F:440) |","| Pages | 4512 |\n| --- | --- |\n| Avg.Pages/Writer | 4 |\n| Lines | 31124 |\n| SegmentedWords | 152680 |\n| SegmentedCharacters | 106433 |\n| PAWs | 325508 |",1]
["|  | Count |\n| --- | --- |\n| Writers | 1001(M:561,F:440) |","| 3 | 5031 | 7730 | 40544 | 39 |\n| --- | --- | --- | --- | --- |\n| 4 | 4417 | 6671 | 35253 | 41 |",0]
["| TestCases | \\|V\\| | +<br>\\|V\\|− | T(M)DD | T(M)II | Rel.Err. |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |\n| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |",1]
["| TestCases | \\|V\\| | +<br>\\|V\\|− | T(M)DD | T(M)II | Rel.Err. |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |\n| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |","| Graphs | \\|V\\| | \\|E\\| | 50<br>\\|V\\| | N50 | T50 | 200<br>\\|V\\| | N200 | T200 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |\n| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| TestCases | \\|V\\| | +<br>\\|V\\|− | T(M)DD | T(M)II | Rel.Err. |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |\n| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",1]
["| TestCases | \\|V\\| | +<br>\\|V\\|− | T(M)DD | T(M)II | Rel.Err. |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 1.00 | 13.0s(0.9G) | 3.0s(0.2G) | 6.8E-4 |\n| ecology2 | 1.0E6 | 1.03 | 12.1s(0.7G) | 3.4s(0.2G) | 8.9E-3 |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |",0]
["| Candidate | Numberofapprovals |\n| --- | --- |\n| A1 | 300+250+150=700 |","| A2 | 300+40+60=400 |\n| --- | --- |\n| B1 | 250+40+200=490 |\n| B2 | 150+60+200=410 |",1]
["| Candidate | Numberofapprovals |\n| --- | --- |\n| A1 | 300+250+150=700 |","| NumberofApps | NumberofHLI |\n| --- | --- |\n| 176 | [1,49) |\n| 13 | [49,97) |\n| 2 | [97,145) |\n| 0 | [145,193) |\n| 3 | [193,241) |",0]
["| Candidate | Numberofapprovals |\n| --- | --- |\n| A1 | 300+250+150=700 |\n| A2 | 300+40+60=400 |","| B1 | 250+40+200=490 |\n| --- | --- |\n| B2 | 150+60+200=410 |",1]
["| Candidate | Numberofapprovals |\n| --- | --- |\n| A1 | 300+250+150=700 |\n| A2 | 300+40+60=400 |","| 2 | [97,145) |\n| --- | --- |\n| 0 | [145,193) |\n| 3 | [193,241) |",0]
["| Input32×32RGBimage |\n| --- |\n| 5×5conv.64RELU<br>2×2max-poolingstride2 |\n| 5×5conv.128RELU<br>2×2max-poolingstride2 |\n| 3×3conv.256RELU<br>2×2avg-poolingstride2 |","| 4×4conv.512Sigmoid(fullyconnected)<br>0.5Dropout |\n| --- |\n| 1×1conv.10(fullyconnected) |\n| 10-waysoftmax |",1]
["| Input32×32RGBimage |\n| --- |\n| 5×5conv.64RELU<br>2×2max-poolingstride2 |\n| 5×5conv.128RELU<br>2×2max-poolingstride2 |\n| 3×3conv.256RELU<br>2×2avg-poolingstride2 |","| SVHN→MNIST |\n| --- |\n| Input:32×32RGBimage |\n| Generator |\n| Conv5×5×64,stride1,pad0<br>Conv5×5×64,stride1,pad0<br>Conv3×3×128,stride2,pad0<br>Conv3×3×128,stride2,pad0<br>Fullyconnected3200×100<br>Fullyconnected100×100 |\n| Classiﬁer |\n| Fullyconnected100×6 |",0]
["| Input32×32RGBimage |\n| --- |\n| 5×5conv.64RELU<br>2×2max-poolingstride2 |\n| 5×5conv.128RELU<br>2×2max-poolingstride2 |","| 3×3conv.256RELU<br>2×2avg-poolingstride2 |\n| --- |\n| 4×4conv.512Sigmoid(fullyconnected)<br>0.5Dropout |\n| 1×1conv.10(fullyconnected) |\n| 10-waysoftmax |",1]
["| Input32×32RGBimage |\n| --- |\n| 5×5conv.64RELU<br>2×2max-poolingstride2 |\n| 5×5conv.128RELU<br>2×2max-poolingstride2 |","| Classiﬁer |\n| --- |\n| Fullyconnected100×6 |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |","| 2 | {3,12} | {3,12} | {3,12} | {3,12} |\n| --- | --- | --- | --- | --- |\n| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |\n| 2 | {3,12} | {3,12} | {3,12} | {3,12} |\n| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |\n| 2 | {3,12} | {3,12} | {3,12} | {3,12} |","| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| --- | --- | --- | --- | --- |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {12} | {12} | {12} | {12} |\n| 2 | {3,12} | {3,12} | {3,12} | {3,12} |","| 2 | {3,12} | {3,12} | {3,12} | {3,12} |\n| --- | --- | --- | --- | --- |\n| 3 | {3,12,19},{3,12,21}<br>{3,12,22},{3,12,23} | {3,12,21},{3,12,22}<br>{3,12,23} | {3,12,19},{3,12,21} | {3,12,22} |\n| 4 | {3,12,19,23} | {3,12,19,23} | {3,12,15,19},{3,12,15,21} | {3,5,12,22} |",0]
["| F | 0.4618 |\n| --- | --- |\n| df | 299 |\n| dfdenominator | 299 |\n| Pvalue | 4.26510 |","| Conﬁdenceinterval | 0.3679506a0.5795227 |\n| --- | --- |\n| Variancerates | 0.4617745 |",1]
["| F | 0.4618 |\n| --- | --- |\n| df | 299 |\n| dfdenominator | 299 |\n| Pvalue | 4.26510 |","| F-measure |\n| --- |\n| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |\n| 0.369<br>0.418 |\n| 0.343<br>0.354<br>0.386 |\n| 0.443 |",0]
["| F | 0.4618 |\n| --- | --- |\n| df | 299 |\n| dfdenominator | 299 |\n| Pvalue | 4.26510 |","| Conﬁdenceinterval | 0.3679506a0.5795227 |\n| --- | --- |\n| Variancerates | 0.4617745 |",1]
["| F | 0.4618 |\n| --- | --- |\n| df | 299 |\n| dfdenominator | 299 |\n| Pvalue | 4.26510 |","| 0.343<br>0.354<br>0.386 |\n| --- |\n| 0.443 |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| YouTube | 1729 | 9 | 1721 |","| Facebook | 903 | 1 | 903 |\n| --- | --- | --- | --- |\n| LiveJournal | 7011 | 16 | 6978 |\n| Orkut | 10824 | 13 | 10812 |\n| Flickr | 4778 | 1 | 4778 |\n| AuthorCitations | 1110 | 1 | 1110 |\n| Wikipedia | 6039 | 2 | 6038 |\n| AS | 274 | 4 | 271 |\n| ER | 3158 | 2888 | 3 |\n| BA | 3158 | 1 | 3158 |\n| Aﬃliation | 5665 | 1 | 5665 |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| YouTube | 1729 | 9 | 1721 |","| Numberofwords |  |  |  |\n| --- | --- | --- | --- |\n| 1Quartile | 2Quartile(Median) | 3Quartile |  |\n| Stanford | 5 | 15 | 18,5 |\n| Yelp | 15,5 | 36 | 67,6 |\n| Debate | 12 | 15,5 | 18 |\n| ReviewsI | 19 | 13 | 32,5 |\n| TwitterI | 14 | 20 | 23,5 |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |\n| NYT | 18 | 8 | 6 |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| YouTube | 1729 | 9 | 1721 |\n| Facebook | 903 | 1 | 903 |","| LiveJournal | 7011 | 16 | 6978 |\n| --- | --- | --- | --- |\n| Orkut | 10824 | 13 | 10812 |\n| Flickr | 4778 | 1 | 4778 |\n| AuthorCitations | 1110 | 1 | 1110 |\n| Wikipedia | 6039 | 2 | 6038 |\n| AS | 274 | 4 | 271 |\n| ER | 3158 | 2888 | 3 |\n| BA | 3158 | 1 | 3158 |\n| Aﬃliation | 5665 | 1 | 5665 |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n| YouTube | 1729 | 9 | 1721 |\n| Facebook | 903 | 1 | 903 |","| Youtube | 6 | 11 | 26 |\n| --- | --- | --- | --- |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |\n| NYT | 18 | 8 | 6 |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",0]
["|  | Method | BBBIIIIII |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 |","| Peak[kW]<br>reduction | DQN<br>DPG | 3.12<br>2.97 | 1.51<br>1.46 | 3.48<br>2.69 | 2.13<br>1.14 | 3.62<br>3.17 | 1.34<br>1.29 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Cost[$/day] | - | 2.31 | 3.09 | 1.93 | 2.23 | 3.13 | 3.85 |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 2.19<br>2.08 | 3.01<br>2.78 | 1.91<br>1.79 | 2.18<br>2.06 | 2.85<br>2.73 | 3.62<br>3.38 |",1]
["|  | Method | BBBIIIIII |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 |","|  | Method | Numberofbuildings<br>102048 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 59.79 | 6.12 | 124.72 | 10.28 | 281.88 | 14.32 |\n| Peak[kW]<br>reduction | DQN<br>DPG | 54.85<br>44.91 | 5.93<br>4.80 | 116.72<br>92.41 | 9.24<br>7.74 | 254.67<br>207.73 | 13.21<br>11.48 |\n| Cost[$/day] | - | 57.79 | 20.90 | 118.03 | 30.01 | 231.27 | 38.76 |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 47.71<br>44.35 | 17.83<br>16.01 | 93.68<br>82.71 | 24.18<br>21.48 | 198.51<br>167.70 | 32.67<br>28.62 |",0]
["|  | Method | BBBIIIIII |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 |","| Peak[kW]<br>reduction | DQN<br>DPG | 3.12<br>2.97 | 1.51<br>1.46 | 3.48<br>2.69 | 2.13<br>1.14 | 3.62<br>3.17 | 1.34<br>1.29 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Cost[$/day] | - | 2.31 | 3.09 | 1.93 | 2.23 | 3.13 | 3.85 |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 2.19<br>2.08 | 3.01<br>2.78 | 1.91<br>1.79 | 2.18<br>2.06 | 2.85<br>2.73 | 3.62<br>3.38 |",1]
["|  | Method | BBBIIIIII |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 |","| Cost[$/day] | - | 57.79 | 20.90 | 118.03 | 30.01 | 231.27 | 38.76 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 47.71<br>44.35 | 17.83<br>16.01 | 93.68<br>82.71 | 24.18<br>21.48 | 198.51<br>167.70 | 32.67<br>28.62 |",0]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |","| 20 | Mean<br>Min<br>Max |\n| --- | --- |\n| 24 | Mean<br>Min<br>Max |\n| 28 | Mean<br>Min<br>Max |",1]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |","| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 24 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 28 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |",0]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |","| 24 | Mean<br>Min<br>Max |\n| --- | --- |\n| 28 | Mean<br>Min<br>Max |",1]
["| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 69.30<br>67.52<br>70.72<br>70.02<br>68.26<br>71.46<br>70.79<br>69.82<br>72.20<br>71.04<br>70.31<br>71.96 | 75.42<br>74.26<br>76.32<br>77.60<br>76.81<br>78.62<br>78.93<br>77.80<br>79.44<br>79.95<br>78.70<br>80.59 | 70.76<br>69.57<br>72.12<br>72.25<br>71.13<br>73.19<br>73.32<br>72.29<br>73.93<br>74.19<br>73.03<br>74.92 | 77.29<br>75.58<br>79.44<br>79.26<br>78.13<br>80.43<br>80.22<br>79.36<br>80.92<br>81.04<br>80.43<br>81.50 | 81.73<br>80.26<br>82.98<br>85.36<br>83.88<br>86.10<br>87.72<br>86.43<br>88.98<br>89.40<br>88.65<br>89.97 | 76.18<br>74.26<br>77.63<br>79.38<br>77.14<br>80.43<br>82.12<br>81.33<br>83.47<br>83.91<br>83.14<br>85.20 | 81.17<br>79.69<br>82.89<br>82.55<br>81.50<br>83.47<br>83.92<br>82.65<br>84.70<br>84.36<br>83.39<br>85.03 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |","| 24 | Mean<br>Min<br>Max |\n| --- | --- |\n| 28 | Mean<br>Min<br>Max |",0]
["| IoUscoresofcompetingmethods |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video<br>samples |  |  |  |  |  | Propose |\n| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |\n| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 |","| Doll | 0.139 | 0.926 | 0.819 | 0.350 | 0.078 | 0.933 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Baby | 0.116 | 0.671 | 0.007 | 0.360 | 0.222 | 0.847 |\n| Skating1 | 0.033 | 0.248 | 0.318 | 0.627 | 0.523 | 0.713 |\n| Climb1 | 0.54 | 0.764 | 0.03 | 0.844 | 0.476 | 0.810 |\n| Drone2 | 0.487 | 0.436 | 0.549 | 0.325 | 0.348 | 0.588 |\n| Train | 0.211 | 0.37 | 0.535 | 0.837 | 0.831 | 0.850 |\n| Cycling1 | 0.558 | 0.359 | 0.610 | 0.462 | 0.342 | 0.613 |\n| Staircase2 | 0.875 | 0.889 | 0.801 | 0.001 | 0.103 | 0.901 |\n| Average* | 0.425 | 0.431 | 0.392 | 0.529 | 0.421 | 0.723 |\n| Single<br>object? | Y | Y | N | N | Y | Y |",1]
["| IoUscoresofcompetingmethods |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video<br>samples |  |  |  |  |  | Propose |\n| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |\n| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 |","|  | Activities | Units | Segments | Clips | Duration | Setting | Persons |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ChaLAP | - | 11 | 166 | 7 | 6min | staged | 8 |\n| YouCook | - | 7 | 1422 | 88(46) | 0.7h | youtube | - |\n| Toyassembly | 3 | 40 | 479 | 29 | 1.06h | lab | 2 |\n| CMUMMAC(*) | 1 | 37 | 2238 | 37 | 4.4h | lab | 16 |\n| 50Salads | 2 | 51 | 2603 | 50 | 5.3h | lab | 25 |\n| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |\n| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |\n| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |\n| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 |",0]
["| IoUscoresofcompetingmethods |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video<br>samples |  |  |  |  |  | Propose |\n| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |\n| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 |\n| Doll | 0.139 | 0.926 | 0.819 | 0.350 | 0.078 | 0.933 |\n| Baby | 0.116 | 0.671 | 0.007 | 0.360 | 0.222 | 0.847 |\n| Skating1 | 0.033 | 0.248 | 0.318 | 0.627 | 0.523 | 0.713 |\n| Climb1 | 0.54 | 0.764 | 0.03 | 0.844 | 0.476 | 0.810 |\n| Drone2 | 0.487 | 0.436 | 0.549 | 0.325 | 0.348 | 0.588 |\n| Train | 0.211 | 0.37 | 0.535 | 0.837 | 0.831 | 0.850 |\n| Cycling1 | 0.558 | 0.359 | 0.610 | 0.462 | 0.342 | 0.613 |\n| Staircase2 | 0.875 | 0.889 | 0.801 | 0.001 | 0.103 | 0.901 |","| Average* | 0.425 | 0.431 | 0.392 | 0.529 | 0.421 | 0.723 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Single<br>object? | Y | Y | N | N | Y | Y |",1]
["| IoUscoresofcompetingmethods |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video<br>samples |  |  |  |  |  | Propose |\n| Walk2 | 0.009 | 0.123 | 0 | 0.480 | 0.151 | 0.841 |\n| CheeryGirl | 0.144 | 0.201 | 0.09 | 0.587 | 0.573 | 0.756 |\n| Doll | 0.139 | 0.926 | 0.819 | 0.350 | 0.078 | 0.933 |\n| Baby | 0.116 | 0.671 | 0.007 | 0.360 | 0.222 | 0.847 |\n| Skating1 | 0.033 | 0.248 | 0.318 | 0.627 | 0.523 | 0.713 |\n| Climb1 | 0.54 | 0.764 | 0.03 | 0.844 | 0.476 | 0.810 |\n| Drone2 | 0.487 | 0.436 | 0.549 | 0.325 | 0.348 | 0.588 |\n| Train | 0.211 | 0.37 | 0.535 | 0.837 | 0.831 | 0.850 |\n| Cycling1 | 0.558 | 0.359 | 0.610 | 0.462 | 0.342 | 0.613 |\n| Staircase2 | 0.875 | 0.889 | 0.801 | 0.001 | 0.103 | 0.901 |","| MPIICooking | 14 | 65 | 5609(1861BG) | 44 | 8.1h | lab | 12 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MPIIComposite | 55 | 78 | 12642 | 256 | 18.2h | lab | 30 |\n| Breakfast | 10 | 48 | 11441(2992BG) | 1712 | 66.7h | wild | 52 |\n| BreakfastFine | 10 | 178 | 31325(2154BG) | 804 | 49.6h | wild | 52 |",0]
["| Item | Conﬁguration |\n| --- | --- |\n| IssueWidth | 5 |\n| CommitWidth | 4 |\n| ROBSize | 128 |\n| ALUUnits | 6 |\n| FPUUnits | 6 |\n| LoadUnits | 1 |","| StoreUnits | 1 |\n| --- | --- |\n| LoadQueueSize | 48 |\n| StoreQueueSize | 32 |",1]
["| Item | Conﬁguration |\n| --- | --- |\n| IssueWidth | 5 |\n| CommitWidth | 4 |\n| ROBSize | 128 |\n| ALUUnits | 6 |\n| FPUUnits | 6 |\n| LoadUnits | 1 |","| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| Item | Conﬁguration |\n| --- | --- |\n| IssueWidth | 5 |","| CommitWidth | 4 |\n| --- | --- |\n| ROBSize | 128 |\n| ALUUnits | 6 |\n| FPUUnits | 6 |\n| LoadUnits | 1 |\n| StoreUnits | 1 |\n| LoadQueueSize | 48 |\n| StoreQueueSize | 32 |",1]
["| Item | Conﬁguration |\n| --- | --- |\n| IssueWidth | 5 |","| 600 | 6000 | 9.14GB |\n| --- | --- | --- |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |","| Denoise-sq | 0.8 | uniform | approximate |\n| --- | --- | --- | --- |\n| Denoise-ts | 0.7 | uniform | approximate |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",1]
["| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |","| TestInput | OurR-DML | B-DML | Supervisiontransfer |\n| --- | --- | --- | --- |\n| Total | 34.72 | 29.13 | 21.35 |\n| RGB+depth | 40.43 | 36.31 | 26.68 |\n| RGB(blank)+depth | 30.76 | 28.37 | 15.81 |\n| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |\n| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |\n| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |\n| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |\n| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |",0]
["| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |","| Denoise-sq | 0.8 | uniform | approximate |\n| --- | --- | --- | --- |\n| Denoise-ts | 0.7 | uniform | approximate |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",1]
["| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |","| RGB+depth(blank) | 32.69 | 12.03 | 22.25 |\n| --- | --- | --- | --- |\n| RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 |\n| RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 |\n| RGB(noise)+depth | 32.76 | 31.50 | 16.65 |\n| RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |",0]
["| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |\n| --- | --- | --- | --- | --- | --- |\n| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 |","| Filternumber | 24 | 24 | 24 | 24 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| Stride | 1 | 1 | 1 | 1 | 1 |\n| Function | PReLU | PReLU | PReLU | PReLU | Tanh |",1]
["| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |\n| --- | --- | --- | --- | --- | --- |\n| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 |","| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |\n| --- | --- | --- | --- | --- | --- |\n| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 |","| Filternumber | 24 | 24 | 24 | 24 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| Stride | 1 | 1 | 1 | 1 | 1 |\n| Function | PReLU | PReLU | PReLU | PReLU | Tanh |",1]
["| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |\n| --- | --- | --- | --- | --- | --- |\n| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 |","| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| --- | --- | --- | --- |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |\n| --- | --- | --- | --- | --- | --- |\n| March | qaiserthethia<br>alirazatweets<br>xaifoooﬃcial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |\n| April | ptioﬃcial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 |","| May | khaleejmag<br>diyarahman99<br>maryamnsharif | 347<br>176<br>59 | 1<br>1<br>0 | 1313558.254<br>608312.772<br>551766.163 | 1<br>3<br>4 |\n| --- | --- | --- | --- | --- | --- |\n| June | dunyanews<br>imrankhanpti<br>ptioﬃcial | 290<br>105<br>80 | 17<br>0<br>1 | 836335.327<br>288851.658<br>213124.288 | 2<br>4<br>6 |\n| July | imrankhanpti<br>dunyanews<br>defencepk | 181<br>122<br>111 | 0<br>15<br>1 | 800178.225<br>705731.185<br>601869.039 | 2<br>4<br>5 |\n| August | shehzadind<br>yadavtejashwi | 721<br>622 | 2<br>0 | 328635.667<br>194985.667 | 1<br>2 |",1]
["| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |\n| --- | --- | --- | --- | --- | --- |\n| March | qaiserthethia<br>alirazatweets<br>xaifoooﬃcial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |\n| April | ptioﬃcial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 |","| R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.0899021679 | 0.06 |\n| 5 | autographshore | 0.0742552483 | 0.11 |\n| 9 | asylumfruit | 0.0720444643 | 0.07 |\n| 12 | boyrooster | 0.0907164485 | 0.16 |\n| 17 | coastforest | 0.1106378337 | 0.26 |\n| 21 | boysage | 0.2017739882 | 0.16 |\n| 25 | forestgraveyard | 0.2015952767 | 0.33 |\n| 29 | birdwoodland | 0.1651985693 | 0.12 |\n| 33 | hillwoodland | 0.2918421392 | 0.29 |\n| 37 | magicianoracle | 0.3057403627 | 0.2 |\n| 41 | oraclesage | 0.5279307332 | 0.09 |\n| 47 | furnacestove | 0.1651985693 | 0.3 |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |\n| 59 | cockrooster | 0.9093502924 | 0.94 |\n| 60 | boylad | 0.9093502924 | 0.6 |\n| 61 | cushionpillow | 0.8157293861 | 0.29 |\n| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |\n| 63 | automobilecar | 0.8185286992 | 0.52 |\n| 64 | gemjewel | 0.8175091596 | 0.65 |\n| 65 | middaynoon | 0.9993931059 | 0.93 |",0]
["| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |\n| --- | --- | --- | --- | --- | --- |\n| March | qaiserthethia<br>alirazatweets<br>xaifoooﬃcial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |\n| April | ptioﬃcial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 |","| May | khaleejmag<br>diyarahman99<br>maryamnsharif | 347<br>176<br>59 | 1<br>1<br>0 | 1313558.254<br>608312.772<br>551766.163 | 1<br>3<br>4 |\n| --- | --- | --- | --- | --- | --- |\n| June | dunyanews<br>imrankhanpti<br>ptioﬃcial | 290<br>105<br>80 | 17<br>0<br>1 | 836335.327<br>288851.658<br>213124.288 | 2<br>4<br>6 |\n| July | imrankhanpti<br>dunyanews<br>defencepk | 181<br>122<br>111 | 0<br>15<br>1 | 800178.225<br>705731.185<br>601869.039 | 2<br>4<br>5 |\n| August | shehzadind<br>yadavtejashwi | 721<br>622 | 2<br>0 | 328635.667<br>194985.667 | 1<br>2 |",1]
["| Month | NameofUser | In-Degree | Out-Degree | Betweenness | Rank |\n| --- | --- | --- | --- | --- | --- |\n| March | qaiserthethia<br>alirazatweets<br>xaifoooﬃcial | 139<br>150<br>90 | 12<br>1<br>1 | 315421.518<br>251914.020<br>200590.403 | 3<br>4<br>5 |\n| April | ptioﬃcial<br>qaiserthethia<br>amranafahad | 266<br>107<br>116 | 1<br>12<br>2 | 596473.970<br>329445.157<br>288166.206 | 1<br>3<br>4 |","| 47 | furnacestove | 0.1651985693 | 0.3 |\n| --- | --- | --- | --- |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |\n| 59 | cockrooster | 0.9093502924 | 0.94 |\n| 60 | boylad | 0.9093502924 | 0.6 |\n| 61 | cushionpillow | 0.8157293861 | 0.29 |\n| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |\n| 63 | automobilecar | 0.8185286992 | 0.52 |\n| 64 | gemjewel | 0.8175091596 | 0.65 |\n| 65 | middaynoon | 0.9993931059 | 0.93 |",0]
["|  | NLPR | RGBD135 |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| S1 | 0.6497 | 0.1978 | 0.6528 | 0.2004 |\n| Ddce | 0.6725 | 0.1528 | 0.6785 | 0.1685 |","| Scdcp | 0.6764 | 0.1442 | 0.6889 | 0.1489 |\n| --- | --- | --- | --- | --- |\n| S | 0.6875 | 0.1206 | 0.6958 | 0.1343 |\n| Sf | 0.7056 | 0.0860 | 0.7105 | 0.0794 |",1]
["|  | NLPR | RGBD135 |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| S1 | 0.6497 | 0.1978 | 0.6528 | 0.2004 |\n| Ddce | 0.6725 | 0.1528 | 0.6785 | 0.1685 |","| Methods | MAE | F-<br>measure | Max-P | Min-P | Max-R | Min-R |\n| --- | --- | --- | --- | --- | --- | --- |\n| FT | 0.2168 | 0.3270 | 0.3894 | 0.1291 | 1 | 0 |\n| SIM | 0.3957 | 0.2927 | 0.3847 | 0.1291 | 1 | 0 |\n| HS | 0.1909 | 0.6003 | 0.7503 | 0.1291 | 1 | 0.1859 |\n| BSCA | 0.1754 | 0.5925 | 0.7616 | 0.1291 | 1 | 0.0525 |\n| LPS | 0.1252 | 0.5890 | 0.6831 | 0.1291 | 1 | 0.0166 |\n| RGBD1 | 0.3207 | 0.4843 | 0.7771 | 0.1291 | 1 | 0.2228 |\n| RGBD2 | 0.1087 | 0.5957 | 0.8148 | 0.1291 | 1 | 0.0070 |\n| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |\n| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |\n| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |",0]
["|  | NLPR | RGBD135 |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| S1 | 0.6497 | 0.1978 | 0.6528 | 0.2004 |\n| Ddce | 0.6725 | 0.1528 | 0.6785 | 0.1685 |","| Scdcp | 0.6764 | 0.1442 | 0.6889 | 0.1489 |\n| --- | --- | --- | --- | --- |\n| S | 0.6875 | 0.1206 | 0.6958 | 0.1343 |\n| Sf | 0.7056 | 0.0860 | 0.7105 | 0.0794 |",1]
["|  | NLPR | RGBD135 |  |  |\n| --- | --- | --- | --- | --- |\n| Fβ | MAE | Fβ | MAE |  |\n| S1 | 0.6497 | 0.1978 | 0.6528 | 0.2004 |\n| Ddce | 0.6725 | 0.1528 | 0.6785 | 0.1685 |","| OURS1 | 0.1043 | 0.5452 | 0.8029 | 0.0150 | 1 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OURS2 | 0.0900 | 0.7025 | 0.8477 | 0.1291 | 1 | 0.2445 |\n| OURS | 0.0852 | 0.7190 | 0.8347 | 0.1291 | 1 | 0.4071 |",0]
["| Method | N=1000 | N=5000 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| FScore | Stdev | Time(sec) | FScore | Stdev | Time(sec) | FScore |  |\n| SLIC | 0.8584 | 0.0110 | 6.1 | 0.9194 | 0.0075 | 7.0 | 0.9369 |","| ISF-GRID-MEAN | 0.8815 | 0.0129 | 31.8 | 0.9321 | 0.0069 | 30.3 | 0.9459 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SLIC+ISF(twoiterations) | 0.8686 | 0.0138 | 17.3 | 0.9305 | 0.0072 | 18.0 | 0.9444 |",1]
["| Method | N=1000 | N=5000 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| FScore | Stdev | Time(sec) | FScore | Stdev | Time(sec) | FScore |  |\n| SLIC | 0.8584 | 0.0110 | 6.1 | 0.9194 | 0.0075 | 7.0 | 0.9369 |","| Method | IOUthreshold=0.5 | IOUthreshold=0.7 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |\n| Quad | 0.767 | 0.872 | 0.817 | 0.577 | 0.676 | 0.623 |\n| RRMS | 0.766 | 0.875 | 0.817 | 0.569 | 0.623 | 0.594 |\n| QuadMS | 0.785 | 0.878 | 0.829 | 0.617 | 0.690 | 0.651 |",0]
["| Method | N=1000 | N=5000 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| FScore | Stdev | Time(sec) | FScore | Stdev | Time(sec) | FScore |","| SLIC | 0.8584 | 0.0110 | 6.1 | 0.9194 | 0.0075 | 7.0 | 0.9369 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ISF-GRID-MEAN | 0.8815 | 0.0129 | 31.8 | 0.9321 | 0.0069 | 30.3 | 0.9459 |\n| SLIC+ISF(twoiterations) | 0.8686 | 0.0138 | 17.3 | 0.9305 | 0.0072 | 18.0 | 0.9444 |",1]
["| Method | N=1000 | N=5000 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| FScore | Stdev | Time(sec) | FScore | Stdev | Time(sec) | FScore |","| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Quad | 0.767 | 0.872 | 0.817 | 0.577 | 0.676 | 0.623 |\n| RRMS | 0.766 | 0.875 | 0.817 | 0.569 | 0.623 | 0.594 |\n| QuadMS | 0.785 | 0.878 | 0.829 | 0.617 | 0.690 | 0.651 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| CNN(Section??) | 0.9272 | 0.8513 | 0.8999 |\n| CNN(highlyactivated) | 0.9112 | 0.8309 | 0.8692 |","| k-means | 0.968 | 0.7559 | 0.8489 |\n| --- | --- | --- | --- |\n| Randomselection | 0.8812 | 0.8309 | 0.8553 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| CNN(Section??) | 0.9272 | 0.8513 | 0.8999 |\n| CNN(highlyactivated) | 0.9112 | 0.8309 | 0.8692 |","| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.8259 | 0.8019 | 0.8137 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.8311 | 0.8235 | 0.8273 |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6927 | 0.8446 | 0.7612 |\n| MCTA | 0.7050 | 0.7419 | 0.7229 |\n| TVIA | 0.6993 | 0.7240 | 0.7114 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| CNN(Section??) | 0.9272 | 0.8513 | 0.8999 |\n| CNN(highlyactivated) | 0.9112 | 0.8309 | 0.8692 |","| k-means | 0.968 | 0.7559 | 0.8489 |\n| --- | --- | --- | --- |\n| Randomselection | 0.8812 | 0.8309 | 0.8553 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| CNN(Section??) | 0.9272 | 0.8513 | 0.8999 |\n| CNN(highlyactivated) | 0.9112 | 0.8309 | 0.8692 |","| MCTA | 0.7050 | 0.7419 | 0.7229 |\n| --- | --- | --- | --- |\n| TVIA | 0.6993 | 0.7240 | 0.7114 |",0]
["| Event | TweetCount |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 109,809 |\n| 2012PremierLeagueSoccerGames | 1,064,040 |\n| 2014NHLStanleyCupPlayoﬀs | 2,421,065 |\n| 2014NBAPlayoﬀs | 500,170 |\n| 2014KentuckyDerbyHorseRace | 233,172 |\n| 2014BelmontStakesHorseRace | 226,160 |\n| 2014FIFAWorldCupStagesA+B | 5,867,783 |","| TestingData |  |\n| --- | --- |\n| 2013MLBWorldSeriesGame5 | 1,052,852 |\n| 2013MLBWorldSeriesGame6 | 1,026,848 |\n| 2013HonshuEarthquake | 444,018 |\n| 2014NFLSuperBowl | 1,024,367 |\n| 2014FIFAWorldCupThirdPlace | 809,426 |\n| 2014FIFAWorldCupFinal | 1,166,767 |\n| 2014IwakiEarthquake | 358,966 |\n| Total | 16,305,443 |",1]
["| Event | TweetCount |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 109,809 |\n| 2012PremierLeagueSoccerGames | 1,064,040 |\n| 2014NHLStanleyCupPlayoﬀs | 2,421,065 |\n| 2014NBAPlayoﬀs | 500,170 |\n| 2014KentuckyDerbyHorseRace | 233,172 |\n| 2014BelmontStakesHorseRace | 226,160 |\n| 2014FIFAWorldCupStagesA+B | 5,867,783 |","| Sport | KeyMoments |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 13 |\n| 2012PremierLeagueSoccerGames | 21 |\n| 2014NHLStanleyCupPlayoﬀs | 24 |\n| 2014NBAPlayoﬀs | 3 |\n| 2014KentuckyDerbyHorseRace | 3 |\n| 2014BelmontStakesHorseRace | 3 |\n| 2014FIFAWorldCupStagesA+B | 80 |\n| TestingData |  |\n| 2013MLBWorldSeriesGame5 | 7 |\n| 2013MLBWorldSeriesGame6 | 8 |\n| 2014NFLSuperBowl | 13 |\n| 2014FIFAWorldCupThirdPlace | 11 |\n| 2014FIFAWorldCupFinal | 7 |\n| Total | 193 |",0]
["| Event | TweetCount |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 109,809 |\n| 2012PremierLeagueSoccerGames | 1,064,040 |\n| 2014NHLStanleyCupPlayoﬀs | 2,421,065 |\n| 2014NBAPlayoﬀs | 500,170 |\n| 2014KentuckyDerbyHorseRace | 233,172 |\n| 2014BelmontStakesHorseRace | 226,160 |\n| 2014FIFAWorldCupStagesA+B | 5,867,783 |\n| TestingData |  |","| 2013MLBWorldSeriesGame5 | 1,052,852 |\n| --- | --- |\n| 2013MLBWorldSeriesGame6 | 1,026,848 |\n| 2013HonshuEarthquake | 444,018 |\n| 2014NFLSuperBowl | 1,024,367 |\n| 2014FIFAWorldCupThirdPlace | 809,426 |\n| 2014FIFAWorldCupFinal | 1,166,767 |\n| 2014IwakiEarthquake | 358,966 |\n| Total | 16,305,443 |",1]
["| Event | TweetCount |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 109,809 |\n| 2012PremierLeagueSoccerGames | 1,064,040 |\n| 2014NHLStanleyCupPlayoﬀs | 2,421,065 |\n| 2014NBAPlayoﬀs | 500,170 |\n| 2014KentuckyDerbyHorseRace | 233,172 |\n| 2014BelmontStakesHorseRace | 226,160 |\n| 2014FIFAWorldCupStagesA+B | 5,867,783 |\n| TestingData |  |","| 2013MLBWorldSeriesGame5 | 7 |\n| --- | --- |\n| 2013MLBWorldSeriesGame6 | 8 |\n| 2014NFLSuperBowl | 13 |\n| 2014FIFAWorldCupThirdPlace | 11 |\n| 2014FIFAWorldCupFinal | 7 |\n| Total | 193 |",0]
["| Parameter | Values |\n| --- | --- |\n| k | 5,25,50,75,100 |","| β | 0.1,0.2,0.3,0.4,0.5 |\n| --- | --- |\n| N | 100K,250K,500K,750K,1,000K |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",1]
["| Parameter | Values |\n| --- | --- |\n| k | 5,25,50,75,100 |","| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |\n| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["| Parameter | Values |\n| --- | --- |\n| k | 5,25,50,75,100 |\n| β | 0.1,0.2,0.3,0.4,0.5 |","| N | 100K,250K,500K,750K,1,000K |\n| --- | --- |\n| L | 1K,2.5K,5K,7.5K,10K |\n| \\|U\\| | 1M,2M,3M,4M,5M |",1]
["| Parameter | Values |\n| --- | --- |\n| k | 5,25,50,75,100 |\n| β | 0.1,0.2,0.3,0.4,0.5 |","| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| --- | --- | --- | --- | --- |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["|  | fc6size | Totalsize | Ratio | Method | Error |\n| --- | --- | --- | --- | --- | --- |\n| default | 150,994,944 | 177,546,176 | NA | NA | 18.21 |\n| k=5 | 204,805 | 26,756,037 | 6.64 | Lossy | 20.67 |\n| Lossless | 19.23 |  |  |  |  |\n| k=10 | 409,610 | 26,960,842 | 6.59 | Lossy | 19.25 |","| Lossless | 18.87 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| k=50 | 2,048,050 | 28,599,282 | 6.21 | Lossy | 19.04 |\n| Lossless | 18.67 |  |  |  |  |\n| k=100 | 4,096,100 | 30,647,332 | 5.79 | Lossy | 18.68 |\n| Lossless | 18.21 |  |  |  |  |",1]
["|  | fc6size | Totalsize | Ratio | Method | Error |\n| --- | --- | --- | --- | --- | --- |\n| default | 150,994,944 | 177,546,176 | NA | NA | 18.21 |\n| k=5 | 204,805 | 26,756,037 | 6.64 | Lossy | 20.67 |\n| Lossless | 19.23 |  |  |  |  |\n| k=10 | 409,610 | 26,960,842 | 6.59 | Lossy | 19.25 |","| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |\n| Delta-nHinge | 93.4 | NA | NA | 98.4 |\n| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["|  | fc6size | Totalsize | Ratio | Method | Error |\n| --- | --- | --- | --- | --- | --- |\n| default | 150,994,944 | 177,546,176 | NA | NA | 18.21 |\n| k=5 | 204,805 | 26,756,037 | 6.64 | Lossy | 20.67 |\n| Lossless | 19.23 |  |  |  |  |\n| k=10 | 409,610 | 26,960,842 | 6.59 | Lossy | 19.25 |\n| Lossless | 18.87 |  |  |  |  |","| k=50 | 2,048,050 | 28,599,282 | 6.21 | Lossy | 19.04 |\n| --- | --- | --- | --- | --- | --- |\n| Lossless | 18.67 |  |  |  |  |\n| k=100 | 4,096,100 | 30,647,332 | 5.79 | Lossy | 18.68 |\n| Lossless | 18.21 |  |  |  |  |",1]
["|  | fc6size | Totalsize | Ratio | Method | Error |\n| --- | --- | --- | --- | --- | --- |\n| default | 150,994,944 | 177,546,176 | NA | NA | 18.21 |\n| k=5 | 204,805 | 26,756,037 | 6.64 | Lossy | 20.67 |\n| Lossless | 19.23 |  |  |  |  |\n| k=10 | 409,610 | 26,960,842 | 6.59 | Lossy | 19.25 |\n| Lossless | 18.87 |  |  |  |  |","| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| --- | --- | --- | --- | --- |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["| p | n | k | Upperboundon∆inf | Explicit∆(newresult)f |\n| --- | --- | --- | --- | --- |\n| 5 | 3 | 2 | 12 | 6 |\n| 5 | 5 | 2 | 12 | 6 |","| 5 | 5 | 4 | 24 | 6 |\n| --- | --- | --- | --- | --- |\n| 7 | 3 | 2 | 24 | 8 |\n| 7 | 5 | 2 | 24 | 8 |\n| 7 | 5 | 4 | 48 | 8 |\n| 7 | 7 | 2 | 24 | 8 |\n| 7 | 7 | 4 | 48 | 8 |\n| 7 | 7 | 6 | 24 | 8 |\n| 11 | 3 | 2 | 60 | 12 |",1]
["| p | n | k | Upperboundon∆inf | Explicit∆(newresult)f |\n| --- | --- | --- | --- | --- |\n| 5 | 3 | 2 | 12 | 6 |\n| 5 | 5 | 2 | 12 | 6 |","| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| p | n | k | Upperboundon∆inf | Explicit∆(newresult)f |\n| --- | --- | --- | --- | --- |\n| 5 | 3 | 2 | 12 | 6 |\n| 5 | 5 | 2 | 12 | 6 |\n| 5 | 5 | 4 | 24 | 6 |\n| 7 | 3 | 2 | 24 | 8 |","| 7 | 5 | 2 | 24 | 8 |\n| --- | --- | --- | --- | --- |\n| 7 | 5 | 4 | 48 | 8 |\n| 7 | 7 | 2 | 24 | 8 |\n| 7 | 7 | 4 | 48 | 8 |\n| 7 | 7 | 6 | 24 | 8 |\n| 11 | 3 | 2 | 60 | 12 |",1]
["| p | n | k | Upperboundon∆inf | Explicit∆(newresult)f |\n| --- | --- | --- | --- | --- |\n| 5 | 3 | 2 | 12 | 6 |\n| 5 | 5 | 2 | 12 | 6 |\n| 5 | 5 | 4 | 24 | 6 |\n| 7 | 3 | 2 | 24 | 8 |","| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| Steps | Time(sec) |\n| --- | --- |\n| Precomputation | 7 |","| NUFFTandFourier-BesselExpansion | 1,438 |\n| --- | --- |\n| SteerablePCA | 42 |\n| Total | 1487 |",1]
["| Steps | Time(sec) |\n| --- | --- |\n| Precomputation | 7 |","| Step | Time(sec) |\n| --- | --- |\n| Fourier-BesselsPCA | 537.7 |\n| RotationallyInvariantFeatures | 28.2 |\n| InitialNearestNeighborSearch | 13.9 |\n| VDMClassiﬁcation | 57.4 |\n| LocalAlignmentandClassAverage | 1081 |\n| Total | 1718.3(28.6min) |",0]
["| Steps | Time(sec) |\n| --- | --- |\n| Precomputation | 7 |","| NUFFTandFourier-BesselExpansion | 1,438 |\n| --- | --- |\n| SteerablePCA | 42 |\n| Total | 1487 |",1]
["| Steps | Time(sec) |\n| --- | --- |\n| Precomputation | 7 |","| LocalAlignmentandClassAverage | 1081 |\n| --- | --- |\n| Total | 1718.3(28.6min) |",0]
["|  | ECO | MDNet | BACF | ADNet | STECF |\n| --- | --- | --- | --- | --- | --- |\n| ALL | 0.3599 | 0.3389 | 0.3004 | 0.2544 | 0.5104 |\n| SC | 0.7756 | 0.6899 | 0.7021 | 0.6439 | 0.7282 |","| RT | 0.0895 | 0.0893 | 0.0610 | 0.0733 | 0.7075 |\n| --- | --- | --- | --- | --- | --- |\n| PD | 0.2359 | 0.2614 | 0.1961 | 0.1832 | 0.2784 |\n| MB | 0.1540 | 0.1412 | 0.1155 | 0.0829 | 0.1748 |\n| OCC | 0.5610 | 0.5307 | 0.4695 | 0.4723 | 0.6991 |\n| OV | 0.5421 | 0.5021 | 0.4520 | 0.2158 | 0.5743 |\n| UC | 0.1610 | 0.1576 | 0.1064 | 0.1095 | 0.4105 |",1]
["|  | ECO | MDNet | BACF | ADNet | STECF |\n| --- | --- | --- | --- | --- | --- |\n| ALL | 0.3599 | 0.3389 | 0.3004 | 0.2544 | 0.5104 |\n| SC | 0.7756 | 0.6899 | 0.7021 | 0.6439 | 0.7282 |","| LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. |  |\n|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |\n| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |\n|  | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |\n|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",0]
["|  | ECO | MDNet | BACF | ADNet | STECF |\n| --- | --- | --- | --- | --- | --- |\n| ALL | 0.3599 | 0.3389 | 0.3004 | 0.2544 | 0.5104 |\n| SC | 0.7756 | 0.6899 | 0.7021 | 0.6439 | 0.7282 |\n| RT | 0.0895 | 0.0893 | 0.0610 | 0.0733 | 0.7075 |","| PD | 0.2359 | 0.2614 | 0.1961 | 0.1832 | 0.2784 |\n| --- | --- | --- | --- | --- | --- |\n| MB | 0.1540 | 0.1412 | 0.1155 | 0.0829 | 0.1748 |\n| OCC | 0.5610 | 0.5307 | 0.4695 | 0.4723 | 0.6991 |\n| OV | 0.5421 | 0.5021 | 0.4520 | 0.2158 | 0.5743 |\n| UC | 0.1610 | 0.1576 | 0.1064 | 0.1095 | 0.4105 |",1]
["|  | ECO | MDNet | BACF | ADNet | STECF |\n| --- | --- | --- | --- | --- | --- |\n| ALL | 0.3599 | 0.3389 | 0.3004 | 0.2544 | 0.5104 |\n| SC | 0.7756 | 0.6899 | 0.7021 | 0.6439 | 0.7282 |\n| RT | 0.0895 | 0.0893 | 0.0610 | 0.0733 | 0.7075 |","|  | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |\n|  | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |\n|  | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |\n|  | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |\n|  | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 |",0]
["| name | AB | FDCS | ABCS | FINDER | FMC |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |","| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |\n| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |\n| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",1]
["| name | AB | FDCS | ABCS | FINDER | FMC |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| name | AB | FDCS | ABCS | FINDER | FMC |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |\n| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |","| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |\n| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",1]
["| name | AB | FDCS | ABCS | FINDER | FMC |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |\n| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |","| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| --- | --- | --- | --- | --- | --- |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0.07 | 0 | 0 | 0.07 | 0.13 | 0.2 |\n| ball1 | 0.4 | 0.07 | 0.13 | 0 | 0.2 | 0.33 | 1.6 |\n| ball2 | 0.67 | 2.27 | 2.33 | 2.67 | 2.67 | 3.07 | 3.33 |\n| basketball | 1.27 | 1.07 | 1.27 | 1.33 | 1.8 | 3 | 5.73 |\n| birds1 | 0.47 | 2.2 | 1.73 | 1.47 | 1.33 | 2.33 | 3.13 |\n| birds2 | 0.4 | 0.27 | 0.4 | 0.13 | 0.13 | 0.47 | 0.6 |\n| blanket | 0 | 0 | 0 | 0 | 0.13 | 0.33 | 1 |\n| bmx | 0.87 | 0.13 | 0 | 0 | 0.13 | 0.2 | 0.47 |","| bolt1 | 0.13 | 0 | 0.07 | 0.13 | 0.67 | 1.4 | 2.27 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bolt2 | 0 | 0.27 | 0.73 | 0.6 | 0.4 | 1.4 | 1.87 |\n| book | 3.4 | 3.53 | 3.27 | 3.53 | 4.73 | 4.47 | 7.4 |\n| butterfly | 0.13 | 0 | 0.13 | 0.13 | 0.6 | 0.8 | 1.6 |\n| car1 | 1.73 | 2.27 | 2.33 | 1.87 | 2.07 | 2.93 | 2.87 |\n| car2 | 0 | 0 | 0 | 0 | 0.2 | 0.53 | 1 |\n| crossing | 0 | 0.07 | 0.07 | 0.07 | 0.07 | 0.13 | 0.47 |\n| dinosaur | 0.6 | 0 | 0 | 0 | 0.47 | 3.6 | 4.67 |\n| fernando | 0.67 | 0.67 | 1.33 | 0.73 | 0.93 | 1.4 | 3.47 |\n| fish1 | 2.73 | 2.8 | 2.67 | 2.8 | 3.13 | 3.2 | 4.47 |\n| fish2 | 2.4 | 3 | 2.73 | 3 | 3.2 | 4.8 | 7.2 |\n| fish3 | 0.27 | 0.87 | 0.67 | 0.73 | 0.73 | 0.87 | 0.8 |\n| fish4 | 0.67 | 0.13 | 0.4 | 0.6 | 0.8 | 1.47 | 1.2 |\n| girl | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 1.53 |\n| glove | 2.8 | 2.47 | 2.4 | 2.73 | 3.13 | 3.87 | 4.67 |\n| godfather | 0 | 0 | 0 | 0 | 0.47 | 0.47 | 1.47 |\n| graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 |\n| gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 |\n| gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 |\n| gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 |\n| gymnastics4 | 0.13 | 0 | 0 | 0.07 | 0.13 | 0.33 | 1.33 |\n| hand | 2.53 | 0.8 | 1.53 | 0.93 | 1.2 | 4.07 | 6.6 |\n| handball1 | 0.93 | 0.6 | 0.93 | 0.73 | 1.93 | 2.13 | 3 |\n| handball2 | 1.93 | 2.27 | 2.47 | 2.67 | 2.73 | 3.67 | 7.53 |\n| helicopter | 1 | 0.27 | 0.33 | 0.4 | 0.27 | 0.2 | 0.87 |\n| iceskater1 | 0.07 | 0.27 | 0.2 | 0.07 | 0.4 | 0.2 | 1.6 |\n| iceskater2 | 0.47 | 0 | 0.07 | 0.4 | 1.2 | 2.93 | 7.8 |\n| leaves | 4.4 | 4.4 | 4.67 | 4.73 | 4.2 | 4.27 | 4.67 |\n| marching | 0 | 0.13 | 0.2 | 0.33 | 1.27 | 1.6 | 2.27 |\n| matrix | 1.8 | 1.53 | 1.4 | 1.4 | 1.87 | 1.6 | 3.53 |\n| motocross1 | 0.13 | 0 | 0 | 0 | 0 | 0.13 | 2.07 |\n| motocross2 | 0.07 | 0 | 0 | 0 | 0.07 | 0.73 | 0.93 |\n| nature | 2.47 | 2.4 | 2.2 | 1.8 | 2.73 | 3.53 | 4.8 |\n| octopus | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.27 |\n| pedestrian1 | 1.2 | 1.07 | 1 | 1.27 | 1.07 | 1.47 | 2.67 |\n| pedestrian2 | 0 | 0 | 0.13 | 0 | 0.07 | 0.13 | 0.67 |\n| rabbit | 3.2 | 4.27 | 4.67 | 5.07 | 4.53 | 5.27 | 6.53 |\n| racing | 0 | 0 | 0 | 0 | 0.13 | 0.73 | 1.07 |\n| road | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.4 |\n| shaking | 0.07 | 0.07 | 0.07 | 0.13 | 0.33 | 0.33 | 0.53 |\n| sheep | 0.07 | 0 | 0 | 0.27 | 0.53 | 0.73 | 0.87 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.8 |\n| singer2 | 0.73 | 0.33 | 0.2 | 0.2 | 0.47 | 1.07 | 3.27 |\n| singer3 | 0.4 | 0.33 | 0.53 | 0.27 | 0.33 | 0.53 | 1 |\n| soccer1 | 0.73 | 1.47 | 0.93 | 0.8 | 1.47 | 1.27 | 1.73 |\n| soccer2 | 7.4 | 10.4 | 9.8 | 10.53 | 11.87 | 12.6 | 12.8 |\n| soldier | 0.93 | 0.07 | 0.2 | 0.47 | 0.53 | 0.93 | 2 |\n| sphere | 0 | 0 | 0 | 0 | 0.07 | 0.4 | 0.87 |\n| tiger | 0.6 | 0.07 | 0 | 0 | 0.2 | 0.47 | 2.47 |\n| traffic | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 0.87 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0.8 | 1.2 |\n| wiper | 0.47 | 0.33 | 0.33 | 0.27 | 0.33 | 0.53 | 1.07 |\n| mean | 0.93 | 0.94 | 0.98 | 0.99 | 1.2 | 1.7 | 2.73 |\n| weightedmean | 0.78 | 0.74 | 0.77 | 0.74 | 0.97 | 1.51 | 2.62 |",1]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0.07 | 0 | 0 | 0.07 | 0.13 | 0.2 |\n| ball1 | 0.4 | 0.07 | 0.13 | 0 | 0.2 | 0.33 | 1.6 |\n| ball2 | 0.67 | 2.27 | 2.33 | 2.67 | 2.67 | 3.07 | 3.33 |\n| basketball | 1.27 | 1.07 | 1.27 | 1.33 | 1.8 | 3 | 5.73 |\n| birds1 | 0.47 | 2.2 | 1.73 | 1.47 | 1.33 | 2.33 | 3.13 |\n| birds2 | 0.4 | 0.27 | 0.4 | 0.13 | 0.13 | 0.47 | 0.6 |\n| blanket | 0 | 0 | 0 | 0 | 0.13 | 0.33 | 1 |\n| bmx | 0.87 | 0.13 | 0 | 0 | 0.13 | 0.2 | 0.47 |","|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.49 | 0.52 | 0.51 | 0.49 | 0.47 | 0.43 | 0.38 |\n| ball1 | 0.77 | 0.79 | 0.78 | 0.79 | 0.78 | 0.77 | 0.75 |\n| ball2 | 0.33 | 0.46 | 0.47 | 0.38 | 0.46 | 0.45 | 0.5 |\n| basketball | 0.62 | 0.62 | 0.63 | 0.61 | 0.63 | 0.57 | 0.53 |\n| birds1 | 0.51 | 0.48 | 0.5 | 0.48 | 0.49 | 0.47 | 0.45 |\n| birds2 | 0.35 | 0.33 | 0.34 | 0.35 | 0.34 | 0.31 | 0.33 |\n| blanket | 0.6 | 0.58 | 0.56 | 0.56 | 0.51 | 0.54 | 0.49 |\n| bmx | 0.19 | 0.41 | 0.43 | 0.43 | 0.37 | 0.4 | 0.35 |\n| bolt1 | 0.51 | 0.52 | 0.53 | 0.54 | 0.58 | 0.6 | 0.56 |\n| bolt2 | 0.54 | 0.55 | 0.57 | 0.57 | 0.57 | 0.58 | 0.42 |\n| book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |\n| butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |\n| car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 |\n| car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 |\n| crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 |\n| dinosaur | 0.57 | 0.62 | 0.61 | 0.62 | 0.58 | 0.36 | 0.42 |\n| fernando | 0.45 | 0.43 | 0.43 | 0.44 | 0.42 | 0.38 | 0.33 |\n| fish1 | 0.46 | 0.44 | 0.44 | 0.43 | 0.43 | 0.42 | 0.37 |\n| fish2 | 0.32 | 0.32 | 0.33 | 0.32 | 0.31 | 0.29 | 0.24 |\n| fish3 | 0.6 | 0.64 | 0.65 | 0.63 | 0.6 | 0.54 | 0.38 |\n| fish4 | 0.36 | 0.37 | 0.38 | 0.41 | 0.32 | 0.33 | 0.32 |\n| girl | 0.69 | 0.69 | 0.67 | 0.7 | 0.69 | 0.67 | 0.6 |\n| glove | 0.49 | 0.52 | 0.49 | 0.5 | 0.48 | 0.38 | 0.38 |\n| godfather | 0.46 | 0.45 | 0.45 | 0.45 | 0.44 | 0.4 | 0.4 |\n| graduate | 0.51 | 0.53 | 0.52 | 0.52 | 0.49 | 0.43 | 0.4 |\n| gymnastics1 | 0.43 | 0.51 | 0.53 | 0.42 | 0.51 | 0.42 | 0.43 |\n| gymnastics2 | 0.44 | 0.49 | 0.49 | 0.46 | 0.45 | 0.46 | 0.42 |\n| gymnastics3 | 0.25 | 0.25 | 0.26 | 0.25 | 0.26 | 0.26 | 0.23 |\n| gymnastics4 | 0.46 | 0.48 | 0.49 | 0.47 | 0.45 | 0.43 | 0.36 |\n| hand | 0.51 | 0.5 | 0.5 | 0.5 | 0.51 | 0.49 | 0.45 |\n| handball1 | 0.55 | 0.58 | 0.58 | 0.58 | 0.55 | 0.55 | 0.52 |\n| handball2 | 0.55 | 0.57 | 0.56 | 0.56 | 0.55 | 0.53 | 0.51 |\n| helicopter | 0.57 | 0.49 | 0.5 | 0.49 | 0.44 | 0.4 | 0.37 |\n| iceskater1 | 0.53 | 0.54 | 0.52 | 0.54 | 0.53 | 0.5 | 0.49 |\n| iceskater2 | 0.55 | 0.55 | 0.54 | 0.53 | 0.48 | 0.49 | 0.42 |\n| leaves | 0.29 | 0.32 | 0.32 | 0.4 | 0.31 | 0.28 | 0.28 |\n| marching | 0.72 | 0.72 | 0.7 | 0.71 | 0.59 | 0.52 | 0.43 |\n| matrix | 0.5 | 0.54 | 0.55 | 0.54 | 0.54 | 0.56 | 0.55 |\n| motocross1 | 0.47 | 0.48 | 0.48 | 0.47 | 0.47 | 0.46 | 0.39 |\n| motocross2 | 0.49 | 0.58 | 0.58 | 0.59 | 0.56 | 0.45 | 0.42 |\n| nature | 0.49 | 0.44 | 0.43 | 0.39 | 0.43 | 0.4 | 0.42 |\n| octopus | 0.57 | 0.59 | 0.58 | 0.58 | 0.59 | 0.56 | 0.47 |\n| pedestrian1 | 0.71 | 0.71 | 0.71 | 0.71 | 0.66 | 0.61 | 0.65 |\n| pedestrian2 | 0.37 | 0.44 | 0.48 | 0.51 | 0.45 | 0.5 | 0.4 |\n| rabbit | 0.3 | 0.33 | 0.3 | 0.28 | 0.33 | 0.27 | 0.25 |\n| racing | 0.48 | 0.45 | 0.45 | 0.45 | 0.43 | 0.41 | 0.34 |\n| road | 0.45 | 0.47 | 0.47 | 0.45 | 0.48 | 0.47 | 0.45 |\n| shaking | 0.6 | 0.58 | 0.54 | 0.58 | 0.59 | 0.59 | 0.57 |\n| sheep | 0.53 | 0.54 | 0.53 | 0.53 | 0.48 | 0.45 | 0.47 |\n| singer1 | 0.58 | 0.57 | 0.6 | 0.56 | 0.58 | 0.59 | 0.5 |\n| singer2 | 0.59 | 0.64 | 0.64 | 0.65 | 0.64 | 0.57 | 0.48 |\n| singer3 | 0.28 | 0.26 | 0.27 | 0.26 | 0.28 | 0.28 | 0.26 |\n| soccer1 | 0.53 | 0.57 | 0.59 | 0.58 | 0.57 | 0.54 | 0.56 |\n| soccer2 | 0.59 | 0.62 | 0.58 | 0.59 | 0.62 | 0.53 | 0.49 |\n| soldier | 0.45 | 0.52 | 0.51 | 0.52 | 0.48 | 0.46 | 0.34 |\n| sphere | 0.5 | 0.55 | 0.54 | 0.54 | 0.55 | 0.56 | 0.52 |\n| tiger | 0.68 | 0.66 | 0.67 | 0.65 | 0.62 | 0.59 | 0.57 |\n| traffic | 0.78 | 0.8 | 0.79 | 0.8 | 0.77 | 0.58 | 0.54 |\n| tunnel | 0.84 | 0.84 | 0.83 | 0.84 | 0.84 | 0.74 | 0.39 |\n| wiper | 0.71 | 0.7 | 0.7 | 0.7 | 0.68 | 0.6 | 0.44 |\n| mean | 0.52 | 0.54 | 0.53 | 0.53 | 0.52 | 0.49 | 0.44 |\n| weightedmean | 0.54 | 0.55 | 0.55 | 0.54 | 0.53 | 0.5 | 0.45 |",0]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0.07 | 0 | 0 | 0.07 | 0.13 | 0.2 |\n| ball1 | 0.4 | 0.07 | 0.13 | 0 | 0.2 | 0.33 | 1.6 |\n| ball2 | 0.67 | 2.27 | 2.33 | 2.67 | 2.67 | 3.07 | 3.33 |\n| basketball | 1.27 | 1.07 | 1.27 | 1.33 | 1.8 | 3 | 5.73 |\n| birds1 | 0.47 | 2.2 | 1.73 | 1.47 | 1.33 | 2.33 | 3.13 |\n| birds2 | 0.4 | 0.27 | 0.4 | 0.13 | 0.13 | 0.47 | 0.6 |\n| blanket | 0 | 0 | 0 | 0 | 0.13 | 0.33 | 1 |\n| bmx | 0.87 | 0.13 | 0 | 0 | 0.13 | 0.2 | 0.47 |\n| bolt1 | 0.13 | 0 | 0.07 | 0.13 | 0.67 | 1.4 | 2.27 |\n| bolt2 | 0 | 0.27 | 0.73 | 0.6 | 0.4 | 1.4 | 1.87 |\n| book | 3.4 | 3.53 | 3.27 | 3.53 | 4.73 | 4.47 | 7.4 |\n| butterfly | 0.13 | 0 | 0.13 | 0.13 | 0.6 | 0.8 | 1.6 |\n| car1 | 1.73 | 2.27 | 2.33 | 1.87 | 2.07 | 2.93 | 2.87 |\n| car2 | 0 | 0 | 0 | 0 | 0.2 | 0.53 | 1 |\n| crossing | 0 | 0.07 | 0.07 | 0.07 | 0.07 | 0.13 | 0.47 |\n| dinosaur | 0.6 | 0 | 0 | 0 | 0.47 | 3.6 | 4.67 |\n| fernando | 0.67 | 0.67 | 1.33 | 0.73 | 0.93 | 1.4 | 3.47 |\n| fish1 | 2.73 | 2.8 | 2.67 | 2.8 | 3.13 | 3.2 | 4.47 |\n| fish2 | 2.4 | 3 | 2.73 | 3 | 3.2 | 4.8 | 7.2 |\n| fish3 | 0.27 | 0.87 | 0.67 | 0.73 | 0.73 | 0.87 | 0.8 |\n| fish4 | 0.67 | 0.13 | 0.4 | 0.6 | 0.8 | 1.47 | 1.2 |\n| girl | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 1.53 |\n| glove | 2.8 | 2.47 | 2.4 | 2.73 | 3.13 | 3.87 | 4.67 |\n| godfather | 0 | 0 | 0 | 0 | 0.47 | 0.47 | 1.47 |\n| graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 |\n| gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 |\n| gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 |\n| gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 |\n| gymnastics4 | 0.13 | 0 | 0 | 0.07 | 0.13 | 0.33 | 1.33 |\n| hand | 2.53 | 0.8 | 1.53 | 0.93 | 1.2 | 4.07 | 6.6 |\n| handball1 | 0.93 | 0.6 | 0.93 | 0.73 | 1.93 | 2.13 | 3 |\n| handball2 | 1.93 | 2.27 | 2.47 | 2.67 | 2.73 | 3.67 | 7.53 |\n| helicopter | 1 | 0.27 | 0.33 | 0.4 | 0.27 | 0.2 | 0.87 |\n| iceskater1 | 0.07 | 0.27 | 0.2 | 0.07 | 0.4 | 0.2 | 1.6 |\n| iceskater2 | 0.47 | 0 | 0.07 | 0.4 | 1.2 | 2.93 | 7.8 |\n| leaves | 4.4 | 4.4 | 4.67 | 4.73 | 4.2 | 4.27 | 4.67 |\n| marching | 0 | 0.13 | 0.2 | 0.33 | 1.27 | 1.6 | 2.27 |\n| matrix | 1.8 | 1.53 | 1.4 | 1.4 | 1.87 | 1.6 | 3.53 |\n| motocross1 | 0.13 | 0 | 0 | 0 | 0 | 0.13 | 2.07 |\n| motocross2 | 0.07 | 0 | 0 | 0 | 0.07 | 0.73 | 0.93 |\n| nature | 2.47 | 2.4 | 2.2 | 1.8 | 2.73 | 3.53 | 4.8 |\n| octopus | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.27 |\n| pedestrian1 | 1.2 | 1.07 | 1 | 1.27 | 1.07 | 1.47 | 2.67 |\n| pedestrian2 | 0 | 0 | 0.13 | 0 | 0.07 | 0.13 | 0.67 |\n| rabbit | 3.2 | 4.27 | 4.67 | 5.07 | 4.53 | 5.27 | 6.53 |","| racing | 0 | 0 | 0 | 0 | 0.13 | 0.73 | 1.07 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| road | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.4 |\n| shaking | 0.07 | 0.07 | 0.07 | 0.13 | 0.33 | 0.33 | 0.53 |\n| sheep | 0.07 | 0 | 0 | 0.27 | 0.53 | 0.73 | 0.87 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.8 |\n| singer2 | 0.73 | 0.33 | 0.2 | 0.2 | 0.47 | 1.07 | 3.27 |\n| singer3 | 0.4 | 0.33 | 0.53 | 0.27 | 0.33 | 0.53 | 1 |\n| soccer1 | 0.73 | 1.47 | 0.93 | 0.8 | 1.47 | 1.27 | 1.73 |\n| soccer2 | 7.4 | 10.4 | 9.8 | 10.53 | 11.87 | 12.6 | 12.8 |\n| soldier | 0.93 | 0.07 | 0.2 | 0.47 | 0.53 | 0.93 | 2 |\n| sphere | 0 | 0 | 0 | 0 | 0.07 | 0.4 | 0.87 |\n| tiger | 0.6 | 0.07 | 0 | 0 | 0.2 | 0.47 | 2.47 |\n| traffic | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 0.87 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0.8 | 1.2 |\n| wiper | 0.47 | 0.33 | 0.33 | 0.27 | 0.33 | 0.53 | 1.07 |\n| mean | 0.93 | 0.94 | 0.98 | 0.99 | 1.2 | 1.7 | 2.73 |\n| weightedmean | 0.78 | 0.74 | 0.77 | 0.74 | 0.97 | 1.51 | 2.62 |",1]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0.07 | 0 | 0 | 0.07 | 0.13 | 0.2 |\n| ball1 | 0.4 | 0.07 | 0.13 | 0 | 0.2 | 0.33 | 1.6 |\n| ball2 | 0.67 | 2.27 | 2.33 | 2.67 | 2.67 | 3.07 | 3.33 |\n| basketball | 1.27 | 1.07 | 1.27 | 1.33 | 1.8 | 3 | 5.73 |\n| birds1 | 0.47 | 2.2 | 1.73 | 1.47 | 1.33 | 2.33 | 3.13 |\n| birds2 | 0.4 | 0.27 | 0.4 | 0.13 | 0.13 | 0.47 | 0.6 |\n| blanket | 0 | 0 | 0 | 0 | 0.13 | 0.33 | 1 |\n| bmx | 0.87 | 0.13 | 0 | 0 | 0.13 | 0.2 | 0.47 |\n| bolt1 | 0.13 | 0 | 0.07 | 0.13 | 0.67 | 1.4 | 2.27 |\n| bolt2 | 0 | 0.27 | 0.73 | 0.6 | 0.4 | 1.4 | 1.87 |\n| book | 3.4 | 3.53 | 3.27 | 3.53 | 4.73 | 4.47 | 7.4 |\n| butterfly | 0.13 | 0 | 0.13 | 0.13 | 0.6 | 0.8 | 1.6 |\n| car1 | 1.73 | 2.27 | 2.33 | 1.87 | 2.07 | 2.93 | 2.87 |\n| car2 | 0 | 0 | 0 | 0 | 0.2 | 0.53 | 1 |\n| crossing | 0 | 0.07 | 0.07 | 0.07 | 0.07 | 0.13 | 0.47 |\n| dinosaur | 0.6 | 0 | 0 | 0 | 0.47 | 3.6 | 4.67 |\n| fernando | 0.67 | 0.67 | 1.33 | 0.73 | 0.93 | 1.4 | 3.47 |\n| fish1 | 2.73 | 2.8 | 2.67 | 2.8 | 3.13 | 3.2 | 4.47 |\n| fish2 | 2.4 | 3 | 2.73 | 3 | 3.2 | 4.8 | 7.2 |\n| fish3 | 0.27 | 0.87 | 0.67 | 0.73 | 0.73 | 0.87 | 0.8 |\n| fish4 | 0.67 | 0.13 | 0.4 | 0.6 | 0.8 | 1.47 | 1.2 |\n| girl | 0.07 | 0.07 | 0.13 | 0 | 0 | 0.33 | 1.53 |\n| glove | 2.8 | 2.47 | 2.4 | 2.73 | 3.13 | 3.87 | 4.67 |\n| godfather | 0 | 0 | 0 | 0 | 0.47 | 0.47 | 1.47 |\n| graduate | 0 | 0.13 | 0.07 | 0.07 | 0.2 | 0.93 | 1.8 |\n| gymnastics1 | 1.53 | 0.67 | 0.6 | 0.87 | 0.73 | 1.13 | 2.93 |\n| gymnastics2 | 1.87 | 1.4 | 1.73 | 1.67 | 1.53 | 3.07 | 4.27 |\n| gymnastics3 | 1.2 | 1.07 | 1.4 | 1.4 | 1.4 | 2.2 | 3.93 |\n| gymnastics4 | 0.13 | 0 | 0 | 0.07 | 0.13 | 0.33 | 1.33 |\n| hand | 2.53 | 0.8 | 1.53 | 0.93 | 1.2 | 4.07 | 6.6 |\n| handball1 | 0.93 | 0.6 | 0.93 | 0.73 | 1.93 | 2.13 | 3 |\n| handball2 | 1.93 | 2.27 | 2.47 | 2.67 | 2.73 | 3.67 | 7.53 |\n| helicopter | 1 | 0.27 | 0.33 | 0.4 | 0.27 | 0.2 | 0.87 |\n| iceskater1 | 0.07 | 0.27 | 0.2 | 0.07 | 0.4 | 0.2 | 1.6 |\n| iceskater2 | 0.47 | 0 | 0.07 | 0.4 | 1.2 | 2.93 | 7.8 |\n| leaves | 4.4 | 4.4 | 4.67 | 4.73 | 4.2 | 4.27 | 4.67 |\n| marching | 0 | 0.13 | 0.2 | 0.33 | 1.27 | 1.6 | 2.27 |\n| matrix | 1.8 | 1.53 | 1.4 | 1.4 | 1.87 | 1.6 | 3.53 |\n| motocross1 | 0.13 | 0 | 0 | 0 | 0 | 0.13 | 2.07 |\n| motocross2 | 0.07 | 0 | 0 | 0 | 0.07 | 0.73 | 0.93 |\n| nature | 2.47 | 2.4 | 2.2 | 1.8 | 2.73 | 3.53 | 4.8 |\n| octopus | 0 | 0 | 0 | 0 | 0 | 0.07 | 0.27 |\n| pedestrian1 | 1.2 | 1.07 | 1 | 1.27 | 1.07 | 1.47 | 2.67 |\n| pedestrian2 | 0 | 0 | 0.13 | 0 | 0.07 | 0.13 | 0.67 |\n| rabbit | 3.2 | 4.27 | 4.67 | 5.07 | 4.53 | 5.27 | 6.53 |","| book | 0.45 | 0.46 | 0.44 | 0.4 | 0.38 | 0.31 | 0.33 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| butterfly | 0.36 | 0.29 | 0.34 | 0.3 | 0.39 | 0.38 | 0.29 |\n| car1 | 0.75 | 0.77 | 0.77 | 0.77 | 0.76 | 0.75 | 0.61 |\n| car2 | 0.71 | 0.75 | 0.75 | 0.75 | 0.72 | 0.7 | 0.5 |\n| crossing | 0.67 | 0.69 | 0.67 | 0.67 | 0.65 | 0.67 | 0.56 |\n| dinosaur | 0.57 | 0.62 | 0.61 | 0.62 | 0.58 | 0.36 | 0.42 |\n| fernando | 0.45 | 0.43 | 0.43 | 0.44 | 0.42 | 0.38 | 0.33 |\n| fish1 | 0.46 | 0.44 | 0.44 | 0.43 | 0.43 | 0.42 | 0.37 |\n| fish2 | 0.32 | 0.32 | 0.33 | 0.32 | 0.31 | 0.29 | 0.24 |\n| fish3 | 0.6 | 0.64 | 0.65 | 0.63 | 0.6 | 0.54 | 0.38 |\n| fish4 | 0.36 | 0.37 | 0.38 | 0.41 | 0.32 | 0.33 | 0.32 |\n| girl | 0.69 | 0.69 | 0.67 | 0.7 | 0.69 | 0.67 | 0.6 |\n| glove | 0.49 | 0.52 | 0.49 | 0.5 | 0.48 | 0.38 | 0.38 |\n| godfather | 0.46 | 0.45 | 0.45 | 0.45 | 0.44 | 0.4 | 0.4 |\n| graduate | 0.51 | 0.53 | 0.52 | 0.52 | 0.49 | 0.43 | 0.4 |\n| gymnastics1 | 0.43 | 0.51 | 0.53 | 0.42 | 0.51 | 0.42 | 0.43 |\n| gymnastics2 | 0.44 | 0.49 | 0.49 | 0.46 | 0.45 | 0.46 | 0.42 |\n| gymnastics3 | 0.25 | 0.25 | 0.26 | 0.25 | 0.26 | 0.26 | 0.23 |\n| gymnastics4 | 0.46 | 0.48 | 0.49 | 0.47 | 0.45 | 0.43 | 0.36 |\n| hand | 0.51 | 0.5 | 0.5 | 0.5 | 0.51 | 0.49 | 0.45 |\n| handball1 | 0.55 | 0.58 | 0.58 | 0.58 | 0.55 | 0.55 | 0.52 |\n| handball2 | 0.55 | 0.57 | 0.56 | 0.56 | 0.55 | 0.53 | 0.51 |\n| helicopter | 0.57 | 0.49 | 0.5 | 0.49 | 0.44 | 0.4 | 0.37 |\n| iceskater1 | 0.53 | 0.54 | 0.52 | 0.54 | 0.53 | 0.5 | 0.49 |\n| iceskater2 | 0.55 | 0.55 | 0.54 | 0.53 | 0.48 | 0.49 | 0.42 |\n| leaves | 0.29 | 0.32 | 0.32 | 0.4 | 0.31 | 0.28 | 0.28 |\n| marching | 0.72 | 0.72 | 0.7 | 0.71 | 0.59 | 0.52 | 0.43 |\n| matrix | 0.5 | 0.54 | 0.55 | 0.54 | 0.54 | 0.56 | 0.55 |\n| motocross1 | 0.47 | 0.48 | 0.48 | 0.47 | 0.47 | 0.46 | 0.39 |\n| motocross2 | 0.49 | 0.58 | 0.58 | 0.59 | 0.56 | 0.45 | 0.42 |\n| nature | 0.49 | 0.44 | 0.43 | 0.39 | 0.43 | 0.4 | 0.42 |\n| octopus | 0.57 | 0.59 | 0.58 | 0.58 | 0.59 | 0.56 | 0.47 |\n| pedestrian1 | 0.71 | 0.71 | 0.71 | 0.71 | 0.66 | 0.61 | 0.65 |\n| pedestrian2 | 0.37 | 0.44 | 0.48 | 0.51 | 0.45 | 0.5 | 0.4 |\n| rabbit | 0.3 | 0.33 | 0.3 | 0.28 | 0.33 | 0.27 | 0.25 |\n| racing | 0.48 | 0.45 | 0.45 | 0.45 | 0.43 | 0.41 | 0.34 |\n| road | 0.45 | 0.47 | 0.47 | 0.45 | 0.48 | 0.47 | 0.45 |\n| shaking | 0.6 | 0.58 | 0.54 | 0.58 | 0.59 | 0.59 | 0.57 |\n| sheep | 0.53 | 0.54 | 0.53 | 0.53 | 0.48 | 0.45 | 0.47 |\n| singer1 | 0.58 | 0.57 | 0.6 | 0.56 | 0.58 | 0.59 | 0.5 |\n| singer2 | 0.59 | 0.64 | 0.64 | 0.65 | 0.64 | 0.57 | 0.48 |\n| singer3 | 0.28 | 0.26 | 0.27 | 0.26 | 0.28 | 0.28 | 0.26 |\n| soccer1 | 0.53 | 0.57 | 0.59 | 0.58 | 0.57 | 0.54 | 0.56 |\n| soccer2 | 0.59 | 0.62 | 0.58 | 0.59 | 0.62 | 0.53 | 0.49 |\n| soldier | 0.45 | 0.52 | 0.51 | 0.52 | 0.48 | 0.46 | 0.34 |\n| sphere | 0.5 | 0.55 | 0.54 | 0.54 | 0.55 | 0.56 | 0.52 |\n| tiger | 0.68 | 0.66 | 0.67 | 0.65 | 0.62 | 0.59 | 0.57 |\n| traffic | 0.78 | 0.8 | 0.79 | 0.8 | 0.77 | 0.58 | 0.54 |\n| tunnel | 0.84 | 0.84 | 0.83 | 0.84 | 0.84 | 0.74 | 0.39 |\n| wiper | 0.71 | 0.7 | 0.7 | 0.7 | 0.68 | 0.6 | 0.44 |\n| mean | 0.52 | 0.54 | 0.53 | 0.53 | 0.52 | 0.49 | 0.44 |\n| weightedmean | 0.54 | 0.55 | 0.55 | 0.54 | 0.53 | 0.5 | 0.45 |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | -6 | -4 | -2 | 0 | 2 | 4 |\n| r=2 | (55,59.13) | (72,61.46) | (67,59.78) | (N/A,N/A) | (73,61.53) | (70,58.69) |\n| r=3 | (99,48.46) | (100,41.94) | (100,41.22) | (100,37.18) | (95,50.4) | (56,62.98) |\n| r=4 | (100,40.83) | (100,41.04) | (100,40.24) | (100,34.3) | (95,49.4) | (58,64.98) |","| r=5 | (100,41.35) | (100,41.78) | (100,40.8) | (100,32.7) | (96,49.7) | (73,61.11) |\n| --- | --- | --- | --- | --- | --- | --- |\n| r=6 | (100,42.18) | (100,43.28) | (100,42.65) | (100,32.45) | (98,52.02) | (71,59.92) |\n| DDT(r=2,X=0)withspeed/powertradeoﬀ |  |  |  |  |  |  |\n| max\\|LAT\\|−2/NFusedtoanneali,jij |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | -6 | -4 | -2 | 0 | 2 | 4 |\n| r=2 | (55,59.13) | (72,61.46) | (67,59.78) | (N/A,N/A) | (73,61.53) | (70,58.69) |\n| r=3 | (99,48.46) | (100,41.94) | (100,41.22) | (100,37.18) | (95,50.4) | (56,62.98) |\n| r=4 | (100,40.83) | (100,41.04) | (100,40.24) | (100,34.3) | (95,49.4) | (58,64.98) |","|  | AU | AP | VP-25 | SF |\n| --- | --- | --- | --- | --- |\n| N=60 | 0.600 | 0.569 | 0.722 | 0.920 |\n| N=70 | 0.612 | 0.655 | 0.801 | 0.992 |\n| N=80 | 0.645 | 0.657 | 0.814 | 0.989 |\n| N=90 | 0.642 | 0.678 | 0.816 | 0.986 |\n| N=100 | 0.663 | 0.685 | 0.823 | 0.983 |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | -6 | -4 | -2 | 0 | 2 | 4 |\n| r=2 | (55,59.13) | (72,61.46) | (67,59.78) | (N/A,N/A) | (73,61.53) | (70,58.69) |","| r=3 | (99,48.46) | (100,41.94) | (100,41.22) | (100,37.18) | (95,50.4) | (56,62.98) |\n| --- | --- | --- | --- | --- | --- | --- |\n| r=4 | (100,40.83) | (100,41.04) | (100,40.24) | (100,34.3) | (95,49.4) | (58,64.98) |\n| r=5 | (100,41.35) | (100,41.78) | (100,40.8) | (100,32.7) | (96,49.7) | (73,61.11) |\n| r=6 | (100,42.18) | (100,43.28) | (100,42.65) | (100,32.45) | (98,52.02) | (71,59.92) |\n| DDT(r=2,X=0)withspeed/powertradeoﬀ |  |  |  |  |  |  |\n| max\\|LAT\\|−2/NFusedtoanneali,jij |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | -6 | -4 | -2 | 0 | 2 | 4 |\n| r=2 | (55,59.13) | (72,61.46) | (67,59.78) | (N/A,N/A) | (73,61.53) | (70,58.69) |","| N=70 | 0.612 | 0.655 | 0.801 | 0.992 |\n| --- | --- | --- | --- | --- |\n| N=80 | 0.645 | 0.657 | 0.814 | 0.989 |\n| N=90 | 0.642 | 0.678 | 0.816 | 0.986 |\n| N=100 | 0.663 | 0.685 | 0.823 | 0.983 |",0]
["| Algorithm | ζ=0T | 0<ζ<nT |  |\n| --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |","| He-Geng | 28,342±2248 | 54,454±3959 | 24,714±3336 | 52,042±3010 |\n| --- | --- | --- | --- | --- |\n| Baseline | 2,568±303 | 4,983±528 | 1,805±486 | 3,837±598 |\n| MIMB | 1,390±196 | 2,400±747 | 1,332±179 | 2,166±307 |",1]
["| Algorithm | ζ=0T | 0<ζ<nT |  |\n| --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |","| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,375±2280 | 55,287±4347 | 24,574±3231 | 53,525±2705 |\n| Baseline | 2,584±126 | 3,483±518 | 1,308±432 | 3,174±675 |\n| MIMB | 1,102±85 | 1,843±210 | 922±204 | 1,738±184 |",0]
["| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,342±2248 | 54,454±3959 | 24,714±3336 | 52,042±3010 |","| Baseline | 2,568±303 | 4,983±528 | 1,805±486 | 3,837±598 |\n| --- | --- | --- | --- | --- |\n| MIMB | 1,390±196 | 2,400±747 | 1,332±179 | 2,166±307 |",1]
["| Algorithm | ζ=0T | 0<ζ<nT |  |  |\n| --- | --- | --- | --- | --- |\n| nData=5 | nData=10 | nData=5 | nData=10 |  |\n| He-Geng | 28,342±2248 | 54,454±3959 | 24,714±3336 | 52,042±3010 |","| Baseline | 2,584±126 | 3,483±518 | 1,308±432 | 3,174±675 |\n| --- | --- | --- | --- | --- |\n| MIMB | 1,102±85 | 1,843±210 | 922±204 | 1,738±184 |",0]
["| VNV-Kmeans | VNV-Forest | VNV-AASC | VNV-MSC-Forest-hard | VT-MSC-Forest | VNV-MSC-Forest |\n| --- | --- | --- | --- | --- | --- |\n| 79.48 | 87.91 | 32.47 | 48.51 | 81.25 | 57.43 |\n| 39.50 | 19.33 | 30.25 | 45.80 | 41.60 | 70.17 |\n| 94.41 | 59.38 | 65.46 | 79.77 | 70.07 | 91.45 |\n| 74.82 | 44.30 | 45.77 | 84.93 | 60.48 | 79.96 |\n| 92.97 | 46.25 | 41.25 | 96.88 | 84.22 | 99.22 |\n| 82.74 | 16.71 | 33.15 | 89.40 | 82.88 | 90.08 |","| 0.00 | 0.00 | 13.70 | 21.15 | 10.82 | 0.00 |\n| --- | --- | --- | --- | --- | --- |\n| 60.94 | 9.77 | 33.59 | 38.87 | 47.85 | 43.75 |\n| 65.61 | 35.45 | 36.96 | 63.16 | 59.89 | 66.50 |",1]
["| VNV-Kmeans | VNV-Forest | VNV-AASC | VNV-MSC-Forest-hard | VT-MSC-Forest | VNV-MSC-Forest |\n| --- | --- | --- | --- | --- | --- |\n| 79.48 | 87.91 | 32.47 | 48.51 | 81.25 | 57.43 |\n| 39.50 | 19.33 | 30.25 | 45.80 | 41.60 | 70.17 |\n| 94.41 | 59.38 | 65.46 | 79.77 | 70.07 | 91.45 |\n| 74.82 | 44.30 | 45.77 | 84.93 | 60.48 | 79.96 |\n| 92.97 | 46.25 | 41.25 | 96.88 | 84.22 | 99.22 |\n| 82.74 | 16.71 | 33.15 | 89.40 | 82.88 | 90.08 |","|  | bird | car | cat | deer | dog | frog | horse | plane | truck |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nodefense | 1.94 | 0.31 | 0.74 | 4.72 | 7.99 | 3.66 | 9.22 | 0.75 | 1.32 |\n| Defensivedistill | 6.55 | 0.70 | 13.78 | 2.54 | 13.90 | 2.56 | 11.36 | 0.66 | 3.54 |\n| Adv.retraining | 2.58 | 0.31 | 0.75 | 6.08 | 0.75 | 9.01 | 6.06 | 0.31 | 4.08 |\n| RobustOpt.+BReLU | 17.11 | 1.02 | 4.07 | 13.50 | 7.09 | 15.34 | 7.15 | 2.08 | 17.57 |\n| RSE(ours) | 12.87 | 2.61 | 12.47 | 21.47 | 31.90 | 19.09 | 9.45 | 10.21 | 22.15 |",0]
["| VNV-Kmeans | VNV-Forest | VNV-AASC | VNV-MSC-Forest-hard | VT-MSC-Forest | VNV-MSC-Forest |\n| --- | --- | --- | --- | --- | --- |\n| 79.48 | 87.91 | 32.47 | 48.51 | 81.25 | 57.43 |\n| 39.50 | 19.33 | 30.25 | 45.80 | 41.60 | 70.17 |\n| 94.41 | 59.38 | 65.46 | 79.77 | 70.07 | 91.45 |\n| 74.82 | 44.30 | 45.77 | 84.93 | 60.48 | 79.96 |\n| 92.97 | 46.25 | 41.25 | 96.88 | 84.22 | 99.22 |","| 82.74 | 16.71 | 33.15 | 89.40 | 82.88 | 90.08 |\n| --- | --- | --- | --- | --- | --- |\n| 0.00 | 0.00 | 13.70 | 21.15 | 10.82 | 0.00 |\n| 60.94 | 9.77 | 33.59 | 38.87 | 47.85 | 43.75 |\n| 65.61 | 35.45 | 36.96 | 63.16 | 59.89 | 66.50 |",1]
["| VNV-Kmeans | VNV-Forest | VNV-AASC | VNV-MSC-Forest-hard | VT-MSC-Forest | VNV-MSC-Forest |\n| --- | --- | --- | --- | --- | --- |\n| 79.48 | 87.91 | 32.47 | 48.51 | 81.25 | 57.43 |\n| 39.50 | 19.33 | 30.25 | 45.80 | 41.60 | 70.17 |\n| 94.41 | 59.38 | 65.46 | 79.77 | 70.07 | 91.45 |\n| 74.82 | 44.30 | 45.77 | 84.93 | 60.48 | 79.96 |\n| 92.97 | 46.25 | 41.25 | 96.88 | 84.22 | 99.22 |","| Defensivedistill | 6.55 | 0.70 | 13.78 | 2.54 | 13.90 | 2.56 | 11.36 | 0.66 | 3.54 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Adv.retraining | 2.58 | 0.31 | 0.75 | 6.08 | 0.75 | 9.01 | 6.06 | 0.31 | 4.08 |\n| RobustOpt.+BReLU | 17.11 | 1.02 | 4.07 | 13.50 | 7.09 | 15.34 | 7.15 | 2.08 | 17.57 |\n| RSE(ours) | 12.87 | 2.61 | 12.47 | 21.47 | 31.90 | 19.09 | 9.45 | 10.21 | 22.15 |",0]
["|  | Virtual | Virtual-Gray | Amazon | DSLR | PASCAL |\n| --- | --- | --- | --- | --- | --- |\n| Virtual | 30.8(0.1) | 16.5(1.0) | 24.1(0.6) | 28.3(0.2) | 10.7(0.5) |\n| Virtual-Gray | 32.3(0.6) | 32.3(0.5) | 27.3(0.8) | 32.7(0.6) | 17.9(0.7) |","| Amazon | 39.9(0.4) | 30.0(1.0) | 39.2(0.4) | 37.9(0.4) | 18.6(0.6) |\n| --- | --- | --- | --- | --- | --- |\n| DSLR | 68.2(0.2) | 62.1(1.0) | 68.1(0.6) | 66.5(0.1) | 37.7(0.5) |",1]
["|  | Virtual | Virtual-Gray | Amazon | DSLR | PASCAL |\n| --- | --- | --- | --- | --- | --- |\n| Virtual | 30.8(0.1) | 16.5(1.0) | 24.1(0.6) | 28.3(0.2) | 10.7(0.5) |\n| Virtual-Gray | 32.3(0.6) | 32.3(0.5) | 27.3(0.8) | 32.7(0.6) | 17.9(0.7) |","| network | RM | NM | CM | AvgC | ARL | AvgS |\n| --- | --- | --- | --- | --- | --- | --- |\n| amazon0302 | 0.25 | 0.82 | 0.79 | 0.18 | 5.86 | 19.95 |\n| amazon0312 | 0.31 | 0.8 | 0.73 | 0.24 | 8.77 | 26.29 |\n| amazon0505 | 0.31 | 0.76 | 0.73 | 0.24 | 8.86 | 26.42 |\n| amazon0601 | 0.32 | 0.74 | 0.73 | 0.24 | 8.95 | 26.96 |\n| citarnetminer | 0.06 | 0.65 | 0.63 | 0.42 | 6.63 | 16.8 |\n| cithepph | 0.25 | 0.56 | 0.55 | 0.48 | 18.5 | 28.7 |\n| cithepth | 0.27 | 0.53 | 0.59 | 0.42 | 18.2 | 31.6 |\n| citpatents | 0.08 | 0.76 | 0.59 | 0.45 | 8.95 | 18.6 |\n| colastroph | 0.34 | 0.51 | 0.63 | 0.39 | 14 | 22.7 |\n| colcondmat | 0.29 | 0.64 | 0.74 | 0.32 | 6.75 | 18.3 |\n| colgrqc | 0.31 | 0.79 | 0.83 | 0.33 | 5 | 17.7 |\n| colhepph | 0.42 | 0.58 | 0.71 | 0.33 | 11 | 19.9 |\n| colhepth | 0.19 | 0.69 | 0.75 | 0.33 | 5.4 | 16.7 |\n| emailenron | 0.18 | 0.5 | 0.57 | 0.47 | 9.34 | 49.1 |\n| emaileuall | 0.01 | 0.73 | 0.66 | 0.46 | 3.98 | 409 |\n| football | 0.17 | 0.57 | 0.88 | 0.14 | 7.2 | 20.9 |\n| livejournal | 0.19 | -1 | 0.53 | 0.48 | 15.2 | 19.3 |\n| p2p4 | 0.007 | 0.38 | 0.53 | 0.6 | 8.2 | 11.9 |\n| p2p5 | 0.006 | 0.4 | 0.54 | 0.59 | 8.1 | 12.6 |\n| p2p6 | 0.006 | 0.39 | 0.54 | 0.59 | 8.1 | 12.5 |\n| p2p8 | 0.015 | 0.46 | 0.58 | 0.54 | 7.4 | 12.7 |\n| p2p9 | 0.014 | 0.46 | 0.58 | 0.54 | 7.3 | 12.5 |\n| p2p24 | 0.002 | 0.47 | 0.62 | 0.48 | 5.9 | 11.1 |\n| p2p25 | 0.005 | 0.49 | 0.63 | 0.47 | 5.8 | 11.5 |\n| p2p30 | 0.005 | 0.5 | 0.62 | 0.46 | 5.8 | 11.3 |\n| p2p31 | 0.003 | 0.5 | 0.63 | 0.46 | 5.7 | 11 |\n| roadnetca | 0.04 | 0.99 | 0.93 | 0.087 | 3.67 | 26.7 |\n| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |\n| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |\n| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |\n| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |\n| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |\n| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |\n| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 |",0]
["|  | Virtual | Virtual-Gray | Amazon | DSLR | PASCAL |\n| --- | --- | --- | --- | --- | --- |\n| Virtual | 30.8(0.1) | 16.5(1.0) | 24.1(0.6) | 28.3(0.2) | 10.7(0.5) |\n| Virtual-Gray | 32.3(0.6) | 32.3(0.5) | 27.3(0.8) | 32.7(0.6) | 17.9(0.7) |","| Amazon | 39.9(0.4) | 30.0(1.0) | 39.2(0.4) | 37.9(0.4) | 18.6(0.6) |\n| --- | --- | --- | --- | --- | --- |\n| DSLR | 68.2(0.2) | 62.1(1.0) | 68.1(0.6) | 66.5(0.1) | 37.7(0.5) |",1]
["|  | Virtual | Virtual-Gray | Amazon | DSLR | PASCAL |\n| --- | --- | --- | --- | --- | --- |\n| Virtual | 30.8(0.1) | 16.5(1.0) | 24.1(0.6) | 28.3(0.2) | 10.7(0.5) |\n| Virtual-Gray | 32.3(0.6) | 32.3(0.5) | 27.3(0.8) | 32.7(0.6) | 17.9(0.7) |","| roadnetpa | 0.04 | 0.99 | 0.93 | 0.087 | 3.68 | 26.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| roadnettx | 0.04 | 0.99 | 0.93 | 0.1 | 3.63 | 26.2 |\n| vikivote | 0.002 | -1 | 0.58 | 0.5 | 4.89 | 496 |\n| webberkstan | 0.54 | 0.91 | 0.65 | 0.32 | 9 | 44.4 |\n| webgoogle | 0.39 | 0.92 | 0.79 | 0.17 | 6.68 | 30.3 |\n| webnotredame | 0.35 | 0.93 | 0.76 | 0.16 | 5 | 88.2 |\n| webstanford | 0.47 | 0.88 | 0.65 | 0.35 | 7.9 | 40.8 |",0]
["|  | Kosarak | Retail | Q148 | Nasa |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 284170 |\n| Distinctitems | 41270 | 16470 | 11824 | 2116 |\n| Min | 1 | 0 | 0 | 0 |\n| Max | 41270 | 16469 | 149464496 | 28474 |","| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |\n| --- | --- | --- | --- | --- |\n| Median | 640 | 1564 | 63 | 120 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.5 |",1]
["|  | Kosarak | Retail | Q148 | Nasa |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 284170 |\n| Distinctitems | 41270 | 16470 | 11824 | 2116 |\n| Min | 1 | 0 | 0 | 0 |\n| Max | 41270 | 16469 | 149464496 | 28474 |","|  | Kosarak | Retail | Q148 | Webdocs |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 299887139 |\n| Distinctitems | 41270 | 16470 | 11824 | 5267656 |\n| Min | 1 | 0 | 0 | 1 |\n| Max | 41270 | 16469 | 149464496 | 5267656 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 122715 |\n| Median | 640 | 1564 | 63 | 1988 |\n| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.1 |",0]
["|  | Kosarak | Retail | Q148 | Nasa |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 284170 |\n| Distinctitems | 41270 | 16470 | 11824 | 2116 |\n| Min | 1 | 0 | 0 | 0 |\n| Max | 41270 | 16469 | 149464496 | 28474 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |\n| Median | 640 | 1564 | 63 | 120 |","| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 778.1 |\n| --- | --- | --- | --- | --- |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.5 |",1]
["|  | Kosarak | Retail | Q148 | Nasa |\n| --- | --- | --- | --- | --- |\n| Count | 8019015 | 908576 | 234954 | 284170 |\n| Distinctitems | 41270 | 16470 | 11824 | 2116 |\n| Min | 1 | 0 | 0 | 0 |\n| Max | 41270 | 16469 | 149464496 | 28474 |\n| Mean | 2387.2 | 3264.7 | 3392.9 | 353.9 |\n| Median | 640 | 1564 | 63 | 120 |","| Std.deviation | 4308.5 | 4093.2 | 309782.5 | 549736 |\n| --- | --- | --- | --- | --- |\n| Skewness | 3.5 | 1.5 | 478.1 | 6.1 |",0]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0728±0.0030 | 277.03±4.30 | 420 | - |","| GKKM | 0.0729±0.0030 | 25.52±0.18 | 36 | 0.7760 |\n| --- | --- | --- | --- | --- |\n| M=5,µ=0.25,σ=0.25480 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0748±0.0031<br>0.0749±0.0031<br>0.0764±0.0032<br>0.0776±0.0033 | 2.99±0.10<br>3.12±0.18<br>2.85±0.06<br>2.99±0.15 | 10<br>10<br>8<br>7.13±0.97 | 0.2482<br>0.2482<br>0.2482<br>0.2331 |\n| M=10,µ=0.1111,σ=0.13200 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0746±0.0031<br>0.0745±0.0031<br>0.0757±0.0032<br>0.0757±0.0031 | 2.85±0.19<br>2.84±0.14<br>2.57±0.04<br>2.64±0.10 | 16<br>16<br>16<br>13.09±1.10 | 0.1108<br>0.1108<br>0.1104<br>0.0996 |\n| M=20,µ=0.0526,σ=0.09650 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0735±0.0029<br>0.0737±0.0029<br>0.0753±0.0031<br>0.0753±0.0031 | 2.87±0.12<br>2.96±0.17<br>2.55±0.03<br>2.56±0.04 | 21<br>21<br>20<br>15.95±1.13 | 0.0520<br>0.0520<br>0.0525<br>0.0467 |\n| M=30,µ=0.0345,σ=0.05030 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 |",1]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0728±0.0030 | 277.03±4.30 | 420 | - |","| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0839±0.0035 | 14.6747±0.3073 | 103 | - |\n| GKKM | 0.0878±0.0038 | 5.31±0.02 | 5 | 0.5347 |\n| M=5,µ=0.25,σ=0.23850 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0861±0.0037<br>0.0861±0.0037<br>0.0877±0.0038<br>0.0882±0.0039 | 4.34±0.04<br>4.34±0.05<br>4.17±0.02<br>4.56±0.23 | 6<br>6<br>6<br>4.89±0.37 | 0.2402<br>0.2395<br>0.2338<br>0.1812 |\n| M=10,µ=0.1111,σ=0.10 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0835±0.0035<br>0.0835±0.0035<br>0.0852±0.0035<br>0.0857±0.0036 | 3.27±0.03<br>3.25±0.04<br>3.32±0.01<br>3.38±0.08 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |\n| M=20,µ=0.0526,σ=0.04980 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0817±0.0034<br>0.0817±0.0034<br>0.0817±0.0034<br>0.0828±0.0035 | 3.22±0.04<br>3.23±0.05<br>3.27±0.02<br>3.24±0.05 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |\n| M=30,µ=0.0345,σ=0.03530 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0804±0.0033<br>0.0803±0.0033<br>0.0806±0.0033<br>0.0810±0.0034 | 3.43±0.05<br>3.45±0.03<br>3.48±0.05<br>3.33±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 |",0]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0728±0.0030 | 277.03±4.30 | 420 | - |\n| GKKM | 0.0729±0.0030 | 25.52±0.18 | 36 | 0.7760 |\n| M=5,µ=0.25,σ=0.25480 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0748±0.0031<br>0.0749±0.0031<br>0.0764±0.0032<br>0.0776±0.0033 | 2.99±0.10<br>3.12±0.18<br>2.85±0.06<br>2.99±0.15 | 10<br>10<br>8<br>7.13±0.97 | 0.2482<br>0.2482<br>0.2482<br>0.2331 |\n| M=10,µ=0.1111,σ=0.13200 |  |  |  |  |","| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0746±0.0031<br>0.0745±0.0031<br>0.0757±0.0032<br>0.0757±0.0031 | 2.85±0.19<br>2.84±0.14<br>2.57±0.04<br>2.64±0.10 | 16<br>16<br>16<br>13.09±1.10 | 0.1108<br>0.1108<br>0.1104<br>0.0996 |\n| --- | --- | --- | --- | --- |\n| M=20,µ=0.0526,σ=0.09650 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0735±0.0029<br>0.0737±0.0029<br>0.0753±0.0031<br>0.0753±0.0031 | 2.87±0.12<br>2.96±0.17<br>2.55±0.03<br>2.56±0.04 | 21<br>21<br>20<br>15.95±1.13 | 0.0520<br>0.0520<br>0.0525<br>0.0467 |\n| M=30,µ=0.0345,σ=0.05030 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0740±0.0029<br>0.0740±0.0029<br>0.0737±0.0029<br>0.0742±0.0030 | 5.41±0.18<br>5.62±0.19<br>3.24±0.04<br>2.74±0.07 | 42<br>42<br>41<br>33.39±1.43 | 0.0339<br>0.0339<br>0.0344<br>0.0326 |",1]
["| Strategy | RMSE±STD | Av.Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0728±0.0030 | 277.03±4.30 | 420 | - |\n| GKKM | 0.0729±0.0030 | 25.52±0.18 | 36 | 0.7760 |\n| M=5,µ=0.25,σ=0.25480 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0748±0.0031<br>0.0749±0.0031<br>0.0764±0.0032<br>0.0776±0.0033 | 2.99±0.10<br>3.12±0.18<br>2.85±0.06<br>2.99±0.15 | 10<br>10<br>8<br>7.13±0.97 | 0.2482<br>0.2482<br>0.2482<br>0.2331 |\n| M=10,µ=0.1111,σ=0.13200 |  |  |  |  |","| M=10,µ=0.1111,σ=0.10 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0835±0.0035<br>0.0835±0.0035<br>0.0852±0.0035<br>0.0857±0.0036 | 3.27±0.03<br>3.25±0.04<br>3.32±0.01<br>3.38±0.08 | 12<br>12<br>12<br>9.58±0.75 | 0.1098<br>0.1098<br>0.1080<br>0.0907 |\n| M=20,µ=0.0526,σ=0.04980 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0817±0.0034<br>0.0817±0.0034<br>0.0817±0.0034<br>0.0828±0.0035 | 3.22±0.04<br>3.23±0.05<br>3.27±0.02<br>3.24±0.05 | 20<br>20<br>20<br>16.55±0.88 | 0.0383<br>0.0437<br>0.0499<br>0.0408 |\n| M=30,µ=0.0345,σ=0.03530 |  |  |  |  |\n| CCBS<br>CCBS(r)<br>GCBS<br>GCBS(r) | 0.0804±0.0033<br>0.0803±0.0033<br>0.0806±0.0033<br>0.0810±0.0034 | 3.43±0.05<br>3.45±0.03<br>3.48±0.05<br>3.33±0.06 | 25<br>25<br>25<br>21.09±1.02 | 0.0314<br>0.0311<br>0.0300<br>0.0282 |",0]
["| N | Int32 | Int64 | Float | Double |\n| --- | --- | --- | --- | --- |\n| 32M | 24.1 | 12.4 | 24.5 | 12.6 |","| 64M | 24.8 | 12.6 | 25.1 | 12.9 |\n| --- | --- | --- | --- | --- |\n| 128M | 25.3 | 12.7 | 25.5 | 13.0 |\n| 256M | 25.5 | 12.7 | 25.6 | 13.0 |\n| 512M | 25.5 | 12.8 | 25.7 | 13.0 |",1]
["| N | Int32 | Int64 | Float | Double |\n| --- | --- | --- | --- | --- |\n| 32M | 24.1 | 12.4 | 24.5 | 12.6 |","| N | exp | s,i1 | s,i2 | s,s,i | f,i |\n| --- | --- | --- | --- | --- | --- |\n| 64 | 1 | 0.4 | 2 | 7 | 9 |\n| 128 | 5 | 0.7 | 3 | 30 | 39 |\n| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",0]
["| N | Int32 | Int64 | Float | Double |\n| --- | --- | --- | --- | --- |\n| 32M | 24.1 | 12.4 | 24.5 | 12.6 |","| 64M | 24.8 | 12.6 | 25.1 | 12.9 |\n| --- | --- | --- | --- | --- |\n| 128M | 25.3 | 12.7 | 25.5 | 13.0 |\n| 256M | 25.5 | 12.7 | 25.6 | 13.0 |\n| 512M | 25.5 | 12.8 | 25.7 | 13.0 |",1]
["| N | Int32 | Int64 | Float | Double |\n| --- | --- | --- | --- | --- |\n| 32M | 24.1 | 12.4 | 24.5 | 12.6 |","| 128 | 5 | 0.7 | 3 | 30 | 39 |\n| --- | --- | --- | --- | --- | --- |\n| 256 | 30 | 1.3 | 7 | 139 | 206 |\n| 512 | 344 | 4.2 | 19 | 611 | 1200 |",0]
["| Class | F1-scoreinitial | F1-scoreﬁltered | Newsensible<br>trigrams |\n| --- | --- | --- | --- |\n| org:founded-by | 19.30 | 13.33 | 2 |\n| org:members | 14.86 | 13.64 | 0 |\n| org:top-members/employees | 44.77 | 40.49 | 1 |\n| per:alternate-names | 24.72 | 31.17 | 1 |\n| per:cities-of-residence | 52.82 | 54.73 | 0 |\n| per:countries-of-residence | 9.33 | 13.20 | 0 |\n| per:country-of-birth | 25.83 | 26.86 | 0 |\n| per:employee-of | 43.39 | 39.91 | 3 |\n| per:spouse | 43.56 | 36.00 | 1 |","| per:stateorprovinces-of-residence | 43.95 | 45.49 | 1 |\n| --- | --- | --- | --- |\n| per:title | 87.45 | 87.55 | 2 |",1]
["| Class | F1-scoreinitial | F1-scoreﬁltered | Newsensible<br>trigrams |\n| --- | --- | --- | --- |\n| org:founded-by | 19.30 | 13.33 | 2 |\n| org:members | 14.86 | 13.64 | 0 |\n| org:top-members/employees | 44.77 | 40.49 | 1 |\n| per:alternate-names | 24.72 | 31.17 | 1 |\n| per:cities-of-residence | 52.82 | 54.73 | 0 |\n| per:countries-of-residence | 9.33 | 13.20 | 0 |\n| per:country-of-birth | 25.83 | 26.86 | 0 |\n| per:employee-of | 43.39 | 39.91 | 3 |\n| per:spouse | 43.56 | 36.00 | 1 |","| Rule1 | Rule2 | Rule3 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IG | CC | IG | CC | IG | CC |  |\n| Age | 0 | 0.04 | 0 | 0 | 0 | -0.10 |\n| Gender | 0.06 | 0.14 | 0.06 | 0.13 | 0 | -0.06 |\n| Job | 0.08 | -0.18 | 0.08 | -0.17 | 0.04 | 0.11 |\n| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |\n| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |\n| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |\n| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |",0]
["| Class | F1-scoreinitial | F1-scoreﬁltered | Newsensible<br>trigrams |\n| --- | --- | --- | --- |\n| org:founded-by | 19.30 | 13.33 | 2 |\n| org:members | 14.86 | 13.64 | 0 |\n| org:top-members/employees | 44.77 | 40.49 | 1 |\n| per:alternate-names | 24.72 | 31.17 | 1 |\n| per:cities-of-residence | 52.82 | 54.73 | 0 |\n| per:countries-of-residence | 9.33 | 13.20 | 0 |","| per:country-of-birth | 25.83 | 26.86 | 0 |\n| --- | --- | --- | --- |\n| per:employee-of | 43.39 | 39.91 | 3 |\n| per:spouse | 43.56 | 36.00 | 1 |\n| per:stateorprovinces-of-residence | 43.95 | 45.49 | 1 |\n| per:title | 87.45 | 87.55 | 2 |",1]
["| Class | F1-scoreinitial | F1-scoreﬁltered | Newsensible<br>trigrams |\n| --- | --- | --- | --- |\n| org:founded-by | 19.30 | 13.33 | 2 |\n| org:members | 14.86 | 13.64 | 0 |\n| org:top-members/employees | 44.77 | 40.49 | 1 |\n| per:alternate-names | 24.72 | 31.17 | 1 |\n| per:cities-of-residence | 52.82 | 54.73 | 0 |\n| per:countries-of-residence | 9.33 | 13.20 | 0 |","| Studies | 0 | 0.18 | 0 | 0.16 | 0 | 0.017 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Freq.ofuse | 0.03 | 0.05 | 0.06 | 0.08 | 0.02 | -0.07 |\n| #Accounts | 0 | 0.14 | 0 | 0.16 | 0 | -0.05 |\n| Priv.Concern | 0 | 0.13 | 0 | 0.16 | 0 | 0.04 |",0]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |","| Fully-connectedlayer | (50) |\n| --- | --- |\n| output(50) |  |",1]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |","| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |\n| Fully-connectedlayer | (50) |\n| output(50) |  |",0]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |","| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Fully-connectedlayer | (50) |\n| output(50) |  |",1]
["| input(1,96,1360) |  |\n| --- | --- |\n| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,5) |","| Conv2dandMax-Pooling | (32,(3,3))and(2,4) |\n| --- | --- |\n| Batchnormalization-ELUactivation |  |\n| Conv2dandMax-Pooling | (32,(3,3))and(4,4) |\n| Batchnormalization-ELUactivation |  |\n| Fully-connectedlayer | (50) |\n| output(50) |  |",0]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 4 | 120 | 44 | 0.25 | 0.36 |\n| 5 | 1850 | 210 | 0.125 | 0.113 |\n| 6 | 63,981 | 2,040 | 0.0625 | 0.0318 |\n| 7 | 989,751 | 6,272 | 0.03125 | 0.00634 |","| 8 | 58,155,904 | 39,808 | 0.015625 | 0.000684 |\n| --- | --- | --- | --- | --- |\n| 9 |  | 198,300 | 0.0078125 |  |\n| 10 |  | 1,933,147 | 0.00390625 |  |",1]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 4 | 120 | 44 | 0.25 | 0.36 |\n| 5 | 1850 | 210 | 0.125 | 0.113 |\n| 6 | 63,981 | 2,040 | 0.0625 | 0.0318 |\n| 7 | 989,751 | 6,272 | 0.03125 | 0.00634 |","| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 3 | 36 | 29 | 0.5 | 0.72 |\n| 4 | 1,000 | 288 | 0.25 | 0.288 |\n| 5 | 50,625 | 2,424 | 0.125 | 0.0478 |\n| 6 | 4,084,101 | 18,479 | 0.0625 | 0.00452 |\n| 7 | 481,890,304 | 145,134 | 0.03125 | 0.000301 |\n| 8 | 78,364,164,096 | 1,150,386 | 0.015625 | 0.0000147 |",0]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 4 | 120 | 44 | 0.25 | 0.36 |\n| 5 | 1850 | 210 | 0.125 | 0.113 |\n| 6 | 63,981 | 2,040 | 0.0625 | 0.0318 |\n| 7 | 989,751 | 6,272 | 0.03125 | 0.00634 |\n| 8 | 58,155,904 | 39,808 | 0.015625 | 0.000684 |","| 9 |  | 198,300 | 0.0078125 |  |\n| --- | --- | --- | --- | --- |\n| 10 |  | 1,933,147 | 0.00390625 |  |",1]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 4 | 120 | 44 | 0.25 | 0.36 |\n| 5 | 1850 | 210 | 0.125 | 0.113 |\n| 6 | 63,981 | 2,040 | 0.0625 | 0.0318 |\n| 7 | 989,751 | 6,272 | 0.03125 | 0.00634 |\n| 8 | 58,155,904 | 39,808 | 0.015625 | 0.000684 |","| 7 | 481,890,304 | 145,134 | 0.03125 | 0.000301 |\n| --- | --- | --- | --- | --- |\n| 8 | 78,364,164,096 | 1,150,386 | 0.015625 | 0.0000147 |",0]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| obama | obama | romney | romney | obama |\n| romney | romney | obama | obama | romney |\n| debate | debate | tax | mitt | mitt |\n| mitt | president | mitt | like | not |\n| tonight | gt | plan | not | like |\n| president | ryan | debate | debate | jobs |\n| amp | paul | trillion | women | candy |\n| not | poll | details | get | crowley |","| would | won | president | vote | right |\n| --- | --- | --- | --- | --- |\n| plan | mitt | don | president | said |\n| back | amp | like | election | president |\n| one | election | cut | tonight | debate |\n| point | tonight | taxes | don | amp |\n| last | voters | amp | amp | libya |\n| win | vote | know | get |  |",1]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| obama | obama | romney | romney | obama |\n| romney | romney | obama | obama | romney |\n| debate | debate | tax | mitt | mitt |\n| mitt | president | mitt | like | not |\n| tonight | gt | plan | not | like |\n| president | ryan | debate | debate | jobs |\n| amp | paul | trillion | women | candy |\n| not | poll | details | get | crowley |","| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | obama | romney |\n| obama | romney | romney | romney | obama |\n| mitt | debate | mitt | not | mitt |\n| debate | mitt | barack | like | class |\n| poll | tonight | debate | mitt | like |\n| election | gt | president | vote | middle |\n| won | presidential | michelle | don | tax |\n| cnn | president | not | people | not |\n| amp | vote | amp | voting | cut |\n| president | election | video | amp | says |\n| street | ﬁrst | anniversary | election | taxes |\n| wins | get | would | know | president |\n| y | watch | election | debate | fucked |\n| de | amp | party | president | debate |\n|  | like | tonight | get | big |",0]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| obama | obama | romney | romney | obama |\n| romney | romney | obama | obama | romney |\n| debate | debate | tax | mitt | mitt |\n| mitt | president | mitt | like | not |\n| tonight | gt | plan | not | like |","| president | ryan | debate | debate | jobs |\n| --- | --- | --- | --- | --- |\n| amp | paul | trillion | women | candy |\n| not | poll | details | get | crowley |\n| would | won | president | vote | right |\n| plan | mitt | don | president | said |\n| back | amp | like | election | president |\n| one | election | cut | tonight | debate |\n| point | tonight | taxes | don | amp |\n| last | voters | amp | amp | libya |\n| win | vote | know | get |  |",1]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| obama | obama | romney | romney | obama |\n| romney | romney | obama | obama | romney |\n| debate | debate | tax | mitt | mitt |\n| mitt | president | mitt | like | not |\n| tonight | gt | plan | not | like |","| street | ﬁrst | anniversary | election | taxes |\n| --- | --- | --- | --- | --- |\n| wins | get | would | know | president |\n| y | watch | election | debate | fucked |\n| de | amp | party | president | debate |\n|  | like | tonight | get | big |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Headdetection | 655.7 | 697.8 |\n| Densitymap+MESA | 493.4 | 487.1 |","| Multi-sourcefeatures | 419.5 | 541.6 |\n| --- | --- | --- |\n| CrowdCNN | 467.0 | 498.5 |\n| Multi-columnCNN | 377.6 | 509.1 |\n| ConvLSTM-nt | 284.5 | 297.1 |\n| Shangetal. | 270.3 | - |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Headdetection | 655.7 | 697.8 |\n| Densitymap+MESA | 493.4 | 487.1 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 2.24 | 7.97 |\n| Ridgeregression | 2.25 | 7.82 |\n| Cumulativeattributeregression | 2.07 | 6.90 |\n| Densitymap+MESA | 1.70 | - |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |\n| HydraCNN | 1.65 | - |\n| CNNboosting | 1.10 | - |\n| ConvLSTM-nt | 1.73 | 3.52 |\n| ConvLSTM | 1.30 | 1.79 |\n| BidirectionalConvLSTM | 1.13 | 1.43 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Headdetection | 655.7 | 697.8 |\n| Densitymap+MESA | 493.4 | 487.1 |\n| Multi-sourcefeatures | 419.5 | 541.6 |","| CrowdCNN | 467.0 | 498.5 |\n| --- | --- | --- |\n| Multi-columnCNN | 377.6 | 509.1 |\n| ConvLSTM-nt | 284.5 | 297.1 |\n| Shangetal. | 270.3 | - |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Headdetection | 655.7 | 697.8 |\n| Densitymap+MESA | 493.4 | 487.1 |\n| Multi-sourcefeatures | 419.5 | 541.6 |","| Densitymap+MESA | 1.70 | - |\n| --- | --- | --- |\n| Countforest | 1.60 | 4.40 |\n| CrowdCNN | 1.60 | 3.31 |\n| Multi-columnCNN | 1.07 | 1.35 |\n| HydraCNN | 1.65 | - |\n| CNNboosting | 1.10 | - |\n| ConvLSTM-nt | 1.73 | 3.52 |\n| ConvLSTM | 1.30 | 1.79 |\n| BidirectionalConvLSTM | 1.13 | 1.43 |",0]
["|  | c | l | Train | Test |\n| --- | --- | --- | --- | --- |\n| MR | 2 | 20 | 10,662 | 10-foldcrossvalidation |\n| SUBJ | 2 | 23 | 10,000 | 10-foldcrossvalidation |","| TREC | 6 | 10 | 5,952 | 500 |\n| --- | --- | --- | --- | --- |\n| SST | 5 | 18 | 11,855 | 2,210 |\n| IMDb | 2 | 100 | 25,000 | 25,000 |",1]
["|  | c | l | Train | Test |\n| --- | --- | --- | --- | --- |\n| MR | 2 | 20 | 10,662 | 10-foldcrossvalidation |\n| SUBJ | 2 | 23 | 10,000 | 10-foldcrossvalidation |","| Phase | Train | Validation | Test |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Experiment | Diag | Nondiag | Diag | Nondiag | Diag | Nondiag |\n| Fold1 | 4626 | 4822 | 1542 | 1607 | 2055 | 2143 |\n| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",0]
["|  | c | l | Train | Test |\n| --- | --- | --- | --- | --- |\n| MR | 2 | 20 | 10,662 | 10-foldcrossvalidation |","| SUBJ | 2 | 23 | 10,000 | 10-foldcrossvalidation |\n| --- | --- | --- | --- | --- |\n| TREC | 6 | 10 | 5,952 | 500 |\n| SST | 5 | 18 | 11,855 | 2,210 |\n| IMDb | 2 | 100 | 25,000 | 25,000 |",1]
["|  | c | l | Train | Test |\n| --- | --- | --- | --- | --- |\n| MR | 2 | 20 | 10,662 | 10-foldcrossvalidation |","| Fold2 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Fold3 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |\n| Fold4 | 4625 | 4822 | 1542 | 1607 | 2056 | 2143 |",0]
["| Algorithm | 30 | 50 | 100 |\n| --- | --- | --- | --- |\n| StandardPCA | 0.4667 | 0.4600 | 0.3750 |\n| mixPPCA | 0.5417±0.0126 | 0.6290±0.0387 | 0.5845±0.0336 |","| GLRAM | 0.5167 | 0.5600 | 0.4950 |\n| --- | --- | --- | --- |\n| TBV-DR | 0.7617±0.0294 | 0.6790±0.0251 | 0.6480±0.0155 |",1]
["| Algorithm | 30 | 50 | 100 |\n| --- | --- | --- | --- |\n| StandardPCA | 0.4667 | 0.4600 | 0.3750 |\n| mixPPCA | 0.5417±0.0126 | 0.6290±0.0387 | 0.5845±0.0336 |","| Algorithm | m=5000 | m=50 |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| MMPC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| HITON-PC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| MRMR(k=PC) | 1±0 | 1±0 | 0.8600±0.0966 | 0.8600±0.0966 |\n| CMIM(k=PC) | 1±0 | 1±0 | 0.5800±0.1989 | 0.5800±0.1989 |\n| JMI(k=PC) | 1±0 | 1±0 | 0.8000±0.0943 | 0.8000±0.0943 |",0]
["| Algorithm | 30 | 50 | 100 |\n| --- | --- | --- | --- |\n| StandardPCA | 0.4667 | 0.4600 | 0.3750 |\n| mixPPCA | 0.5417±0.0126 | 0.6290±0.0387 | 0.5845±0.0336 |","| GLRAM | 0.5167 | 0.5600 | 0.4950 |\n| --- | --- | --- | --- |\n| TBV-DR | 0.7617±0.0294 | 0.6790±0.0251 | 0.6480±0.0155 |",1]
["| Algorithm | 30 | 50 | 100 |\n| --- | --- | --- | --- |\n| StandardPCA | 0.4667 | 0.4600 | 0.3750 |\n| mixPPCA | 0.5417±0.0126 | 0.6290±0.0387 | 0.5845±0.0336 |","| MMPC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| --- | --- | --- | --- | --- |\n| HITON-PC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| MRMR(k=PC) | 1±0 | 1±0 | 0.8600±0.0966 | 0.8600±0.0966 |\n| CMIM(k=PC) | 1±0 | 1±0 | 0.5800±0.1989 | 0.5800±0.1989 |\n| JMI(k=PC) | 1±0 | 1±0 | 0.8000±0.0943 | 0.8000±0.0943 |",0]
["| 77.85(77.47,77.97) |\n| --- |\n| 80.48(80.26,80.65) |\n| 81.13(80.96,81.32) |","| 81.65(81.45,81.85) |\n| --- |\n| 81.43(81.28,81.75) |\n| 81.26(81.01,81.43) |\n| 81.06(80.87,81.30) |\n| 80.91(80.73,81.10) |\n| 80.91(80.72,81.05) |",1]
["| 77.85(77.47,77.97) |\n| --- |\n| 80.48(80.26,80.65) |\n| 81.13(80.96,81.32) |","| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |\n| --- | --- | --- | --- | --- | --- |\n| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |\n| 83.38(82.65,83.68) | 84.71(84.46,85.27) | 84.89(84.56,85.16) | 84.92(84.81,85.18) | 84.98(84.66,85.18) | 84.99(84.29,85.44) |\n| 91.84(91.30,92.02) | 92.75(92.61,92.88) | 92.89(92.66,93.06) | 92.88(92.75,92.97) | 92.91(92.75,93.01) | 92.88(92.75,93.03) |\n| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) |\n| 79.40(78.76,80.03) | 82.57(82.05,83.31) | 83.48(82.99,84.06) | 83.83(83.51,84.26) | 83.95(83.36,84.60) | 83.96(83.49,84.47) |\n| 89.28(89.04,89.45) | 89.53(89.31,89.72) | 89.55(89.18,89.81) | 89.73(89.62,89.85) | 89.80(89.65,89.96) | 89.84(89.74,90.02) |",0]
["| 77.85(77.47,77.97) |\n| --- |\n| 80.48(80.26,80.65) |\n| 81.13(80.96,81.32) |\n| 81.65(81.45,81.85) |","| 81.43(81.28,81.75) |\n| --- |\n| 81.26(81.01,81.43) |\n| 81.06(80.87,81.30) |\n| 80.91(80.73,81.10) |\n| 80.91(80.72,81.05) |",1]
["| 77.85(77.47,77.97) |\n| --- |\n| 80.48(80.26,80.65) |\n| 81.13(80.96,81.32) |\n| 81.65(81.45,81.85) |","| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) |\n| --- | --- | --- | --- | --- | --- |\n| 79.40(78.76,80.03) | 82.57(82.05,83.31) | 83.48(82.99,84.06) | 83.83(83.51,84.26) | 83.95(83.36,84.60) | 83.96(83.49,84.47) |\n| 89.28(89.04,89.45) | 89.53(89.31,89.72) | 89.55(89.18,89.81) | 89.73(89.62,89.85) | 89.80(89.65,89.96) | 89.84(89.74,90.02) |",0]
["| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |\n| Shuﬄe&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 |","| Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alexnet | 92.8 | 68.1 | 53.0 | 39.8 | 17.5 | 62.8 | 55.7 |",1]
["| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |\n| Shuﬄe&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 |","|  | Ours | Shuﬄe&Learn | RandomInit. | AlexNet |\n| --- | --- | --- | --- | --- |\n| Head | 83.8 | 75.8 | 79.5 | 87.2 |\n| Neck | 90.9 | 86.3 | 87.1 | 93.2 |\n| LRShoulder | 77.5 | 75.0 | 71.6 | 85.2 |\n| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |\n| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |\n| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |\n| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |\n| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |\n| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |\n| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |\n| Total | 72.7 | 69.3 | 65.4 | 78.0 |",0]
["| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |","| Shuﬄe&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 |\n| Alexnet | 92.8 | 68.1 | 53.0 | 39.8 | 17.5 | 62.8 | 55.7 |",1]
["| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |","| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |\n| --- | --- | --- | --- | --- |\n| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |\n| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |\n| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |\n| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |\n| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |\n| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |\n| Total | 72.7 | 69.3 | 65.4 | 78.0 |",0]
["| Graph | Accuracy |  |  |\n| --- | --- | --- | --- |\n| subjectA | subjectB | subjectC |  |\n| GCC | 0.6833 | 0.6414 | 0.6435 |","| IdentityMatrix | 0.6616 | 0.6052 | 0.6213 |\n| --- | --- | --- | --- |\n| RandomMatrix | 0.5941 | 0.5589 | 0.5332 |",1]
["| Graph | Accuracy |  |  |\n| --- | --- | --- | --- |\n| subjectA | subjectB | subjectC |  |\n| GCC | 0.6833 | 0.6414 | 0.6435 |","| Model | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| GraphCRF | 65.20 | 66.50 | 65.84 |\n| SupervisedPCRW | 76.30 | 79.47 | 77.85 |\n| segSeq2Seq | 73.44 | 73.04 | 73.24 |\n| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 |",0]
["| Graph | Accuracy |  |\n| --- | --- | --- |\n| subjectA | subjectB | subjectC |","| GCC | 0.6833 | 0.6414 | 0.6435 |\n| --- | --- | --- | --- |\n| IdentityMatrix | 0.6616 | 0.6052 | 0.6213 |\n| RandomMatrix | 0.5941 | 0.5589 | 0.5332 |",1]
["| Graph | Accuracy |  |\n| --- | --- | --- |\n| subjectA | subjectB | subjectC |","| SupervisedPCRW | 76.30 | 79.47 | 77.85 |\n| --- | --- | --- | --- |\n| segSeq2Seq | 73.44 | 73.04 | 73.24 |\n| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 |",0]
["| Subject-verbtask |  |  |  |\n| --- | --- | --- | --- |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |\n| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |\n| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.740.650.620.720.70<br>0.570.700.650.600.710.65 | 0.810.81<br>0.740.75<br>0.720.72<br>0.710.71 |\n| Least-Sqr<br>⊗proj<br>⊗rel/frob | 0.50<br>0.59<br>0.54 | 0.590.620.590.560.600.58<br>0.590.650.670.590.700.67<br>0.640.770.740.680.780.73 | 0.630.64<br>0.710.69<br>0.840.83 |\n| Verb-objecttask |  |  |  |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |\n| Verb | 0.58 | 0.620.650.670.580.690.66 | 0.620.66 |","| (cid:12)<br>min<br>+<br>max | 0.52<br>0.52<br>0.64<br>0.64 | 0.640.740.700.670.750.70<br>0.660.700.710.630.750.69<br>0.610.750.680.630.740.71<br>0.620.730.680.620.720.68 | 0.820.79<br>0.740.74<br>0.720.73<br>0.620.66 |\n| --- | --- | --- | --- |\n| Least-Sqr<br>⊗proj<br>⊗rel/frob | 0.50<br>0.58<br>0.52 | 0.580.570.560.530.560.55<br>0.600.660.670.600.700.67<br>0.630.750.710.670.750.70 | 0.580.59<br>0.680.68<br>0.820.79 |",1]
["| Subject-verbtask |  |  |  |\n| --- | --- | --- | --- |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |\n| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |\n| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.740.650.620.720.70<br>0.570.700.650.600.710.65 | 0.810.81<br>0.740.75<br>0.720.72<br>0.710.71 |\n| Least-Sqr<br>⊗proj<br>⊗rel/frob | 0.50<br>0.59<br>0.54 | 0.590.620.590.560.600.58<br>0.590.650.670.590.700.67<br>0.640.770.740.680.780.73 | 0.630.64<br>0.710.69<br>0.840.83 |\n| Verb-objecttask |  |  |  |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |\n| Verb | 0.58 | 0.620.650.670.580.690.66 | 0.620.66 |","| Object | Method | MaxF1 | Runtime[s] |\n| --- | --- | --- | --- |\n| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |\n| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |\n| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |\n| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 |",0]
["| Subject-verbtask |  |  |  |\n| --- | --- | --- | --- |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |\n| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |\n| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.740.650.620.720.70<br>0.570.700.650.600.710.65 | 0.810.81<br>0.740.75<br>0.720.72<br>0.710.71 |\n| Least-Sqr<br>⊗proj<br>⊗rel/frob | 0.50<br>0.59<br>0.54 | 0.590.620.590.560.600.58<br>0.590.650.670.590.700.67<br>0.640.770.740.680.780.73 | 0.630.64<br>0.710.69<br>0.840.83 |\n| Verb-objecttask |  |  |  |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |","| Verb | 0.58 | 0.620.650.670.580.690.66 | 0.620.66 |\n| --- | --- | --- | --- |\n| (cid:12)<br>min<br>+<br>max | 0.52<br>0.52<br>0.64<br>0.64 | 0.640.740.700.670.750.70<br>0.660.700.710.630.750.69<br>0.610.750.680.630.740.71<br>0.620.730.680.620.720.68 | 0.820.79<br>0.740.74<br>0.720.73<br>0.620.66 |\n| Least-Sqr<br>⊗proj<br>⊗rel/frob | 0.50<br>0.58<br>0.52 | 0.580.570.560.530.560.55<br>0.600.660.670.600.700.67<br>0.630.750.710.670.750.70 | 0.580.59<br>0.680.68<br>0.820.79 |",1]
["| Subject-verbtask |  |  |  |\n| --- | --- | --- | --- |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |\n| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |\n| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.740.650.620.720.70<br>0.570.700.650.600.710.65 | 0.810.81<br>0.740.75<br>0.720.72<br>0.710.71 |\n| Least-Sqr<br>⊗proj<br>⊗rel/frob | 0.50<br>0.59<br>0.54 | 0.590.620.590.560.600.58<br>0.590.650.670.590.700.67<br>0.640.770.740.680.780.73 | 0.630.64<br>0.710.69<br>0.840.83 |\n| Verb-objecttask |  |  |  |\n| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |","| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |\n| --- | --- | --- | --- |\n| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |\n| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 |",0]
["| AP@N |\n| --- |\n| 12345 |","| 0.300.220.180.150.13<br>0.250.190.160.150.13 |\n| --- |\n| 0.090.090.090.070.07<br>0.150.120.100.080.09<br>0.080.090.090.070.07<br>0.150.130.120.110.09<br>0.160.140.130.110.09<br>0.100.090.090.070.07<br>0.180.120.110.090.09<br>0.180.130.110.090.09 |\n| 0.200.150.130.100.09<br>0.290.200.170.140.11<br>0.340.240.200.170.15 |",1]
["| AP@N |\n| --- |\n| 12345 |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| AP@N |\n| --- |\n| 12345 |","| 0.300.220.180.150.13<br>0.250.190.160.150.13 |\n| --- |\n| 0.090.090.090.070.07<br>0.150.120.100.080.09<br>0.080.090.090.070.07<br>0.150.130.120.110.09<br>0.160.140.130.110.09<br>0.100.090.090.070.07<br>0.180.120.110.090.09<br>0.180.130.110.090.09 |\n| 0.200.150.130.100.09<br>0.290.200.170.140.11<br>0.340.240.200.170.15 |",1]
["| AP@N |\n| --- |\n| 12345 |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |\n| --- | --- | --- | --- | --- | --- |\n| - | - | simulation | sim. | experiment | exp. |","| 0.563 | 311 | 34.02 | 23.72 | 31 | 16 |\n| --- | --- | --- | --- | --- | --- |\n| 1.125 | 385 | 59.14 | 43.19 | 59 | 36 |\n| 2.25 | 336 | 108.93 | 83.79 | 137 | 85 |\n| 4.5 | 307 | 201.49 | 109.42 | 317 | 195 |",1]
["| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |\n| --- | --- | --- | --- | --- | --- |\n| - | - | simulation | sim. | experiment | exp. |","| Statistics | Integratorusedwithsamplingﬁlter |  |\n| --- | --- | --- |\n|  |  |  |\n| Min | 0.304178 | 1.234498 |\n| Max | 2.671971 | 2.350684 |\n| Mean | 0.439776 | 1.699096 |\n| Std | 0.274643 | 0.250088 |\n| Mean+2∗std | 0.989062 | 2.199272 |\n| Mean−2∗std | -0.109510 | 1.198920 |",0]
["| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |\n| --- | --- | --- | --- | --- | --- |\n| - | - | simulation | sim. | experiment | exp. |\n| 0.563 | 311 | 34.02 | 23.72 | 31 | 16 |","| 1.125 | 385 | 59.14 | 43.19 | 59 | 36 |\n| --- | --- | --- | --- | --- | --- |\n| 2.25 | 336 | 108.93 | 83.79 | 137 | 85 |\n| 4.5 | 307 | 201.49 | 109.42 | 317 | 195 |",1]
["| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |\n| --- | --- | --- | --- | --- | --- |\n| - | - | simulation | sim. | experiment | exp. |\n| 0.563 | 311 | 34.02 | 23.72 | 31 | 16 |","| Mean+2∗std | 0.989062 | 2.199272 |\n| --- | --- | --- |\n| Mean−2∗std | -0.109510 | 1.198920 |",0]
["| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |\n| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |","| BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |\n| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",1]
["| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |\n| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |","|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |\n| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |\n| BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |\n| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |","| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",1]
["| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |\n| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |\n| BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |\n| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |","| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| --- | --- | --- | --- | --- | --- |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["| m=1 | m=2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |\n| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 99 | 100 | 100 | 100 | 100 | 99 | 99 | 100 | 100 | 100 |\n| 99 | 99 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |","| 99 | 99 | 97 | 98 | 97 | 98 | 100 | 99 | 100 | 98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 82 | 75 | 78 | 83 | 75 | 74 | 76 | 81 | 75 | 85 |\n| 100 | 100 | 99 | 99 | 99 | 99 | 100 | 99 | 100 | 99 |\n| 98 | 97 | 99 | 99 | 100 | 99 | 99 | 99 | 99 | 100 |\n| 100 | 100 | 100 | 100 | 98 | 100 | 99 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100 |\n| 99 | 100 | 100 | 100 | 100 | 100 | 99 | 100 | 100 | 100 |\n| 99 | 99 | 95 | 97 | 96 | 98 | 98 | 99 | 95 | 94 |\n| 98 | 97 | 97 | 98 | 99 | 95 | 98 | 98 | 99 | 97 |",1]
["| m=1 | m=2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |\n| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 99 | 100 | 100 | 100 | 100 | 99 | 99 | 100 | 100 | 100 |\n| 99 | 99 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |","|  | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 |\n| m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |\n| m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 |\n| m=4 | 0.016 | 0.003 | 0.003 | 0.997 | 1.001 | 1.001 |\n| m=5 | 0.775 | 0.002 | 0.003 | 0.994 | 0.999 | 0.998 |\n| m=6 | 0.979 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=7 | 0.996 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=8 | 0.998 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=9 | 1.001 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=10 | 0.999 | 0.002 | 0.003 | 0.995 | 1.001 | 1.001 |",0]
["| m=1 | m=2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |\n| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |","| 99 | 100 | 100 | 100 | 100 | 99 | 99 | 100 | 100 | 100 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 99 | 99 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 99 | 99 | 97 | 98 | 97 | 98 | 100 | 99 | 100 | 98 |\n| 82 | 75 | 78 | 83 | 75 | 74 | 76 | 81 | 75 | 85 |\n| 100 | 100 | 99 | 99 | 99 | 99 | 100 | 99 | 100 | 99 |\n| 98 | 97 | 99 | 99 | 100 | 99 | 99 | 99 | 99 | 100 |\n| 100 | 100 | 100 | 100 | 98 | 100 | 99 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100 |\n| 99 | 100 | 100 | 100 | 100 | 100 | 99 | 100 | 100 | 100 |\n| 99 | 99 | 95 | 97 | 96 | 98 | 98 | 99 | 95 | 94 |\n| 98 | 97 | 97 | 98 | 99 | 95 | 98 | 98 | 99 | 97 |",1]
["| m=1 | m=2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |\n| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |\n| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |","| m=5 | 0.775 | 0.002 | 0.003 | 0.994 | 0.999 | 0.998 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=6 | 0.979 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=7 | 0.996 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |\n| m=8 | 0.998 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=9 | 1.001 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |\n| m=10 | 0.999 | 0.002 | 0.003 | 0.995 | 1.001 | 1.001 |",0]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |  |  |\n| --- | --- | --- | --- | --- | --- |\n| User1 | User2 | User3 |  |  |  |\n| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |\n| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 |","| BrainStem | 9min2sec | 5min30sec | 0.86 | 0.85 | 0.80 |\n| --- | --- | --- | --- | --- | --- |\n| Mandible | 29min37sec | 10min15sec | 0.81 | 0.90 | 0.86 |",1]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |  |  |\n| --- | --- | --- | --- | --- | --- |\n| User1 | User2 | User3 |  |  |  |\n| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |\n| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 |","|  | Manu.Segmentation | Interact.Segmentation | Dice |  |  |\n| --- | --- | --- | --- | --- | --- |\n| LeftVentricle | RightVentricle | LeftAtrium |  |  |  |\n| Case1 | 157min46sec | 18min46sec | 0.90 | 0.90 | 0.89 |\n| Case2 | 131min26sec | 13min45sec | 0.90 | 0.87 | 0.92 |\n| Case3 | 88min29sec | 13min35sec | 0.91 | 0.84 | 0.93 |",0]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |  |  |\n| --- | --- | --- | --- | --- | --- |\n| User1 | User2 | User3 |  |  |  |\n| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |\n| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 |","| BrainStem | 9min2sec | 5min30sec | 0.86 | 0.85 | 0.80 |\n| --- | --- | --- | --- | --- | --- |\n| Mandible | 29min37sec | 10min15sec | 0.81 | 0.90 | 0.86 |",1]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |  |  |\n| --- | --- | --- | --- | --- | --- |\n| User1 | User2 | User3 |  |  |  |\n| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |\n| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 |","| Case1 | 157min46sec | 18min46sec | 0.90 | 0.90 | 0.89 |\n| --- | --- | --- | --- | --- | --- |\n| Case2 | 131min26sec | 13min45sec | 0.90 | 0.87 | 0.92 |\n| Case3 | 88min29sec | 13min35sec | 0.91 | 0.84 | 0.93 |",0]
["| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |\n| --- | --- | --- | --- | --- |\n| 128 | 29.0044 | 34477 | 208130 | 81516 |\n| 64 | 7.2511 | 137910 | 1751495 | 714128 |\n| 48 | 4.0787 | 245176 | 4206178 | 1730890 |","| 32 | 1.8128 | 551633 | 14366575 | 5967144 |\n| --- | --- | --- | --- | --- |\n| 16 | 0.4532 | 2206531 | 116370643 | 48787963 |\n| 8 | 0.1133 | 8826125 | 929916251 | 394432233 |",1]
["| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |\n| --- | --- | --- | --- | --- |\n| 128 | 29.0044 | 34477 | 208130 | 81516 |\n| 64 | 7.2511 | 137910 | 1751495 | 714128 |\n| 48 | 4.0787 | 245176 | 4206178 | 1730890 |","| δ | C=2δ+1 | C=C+1 | K1 | K2 | Notes |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 7 | 8 | 1 | 2 |  |\n| 4 | 9 | 10 | 1 | 3 |  |\n| 4 | 9 | 10 | 2 | 2 |  |\n| 5 | 11 | 12 | 1 | 4 |  |\n| 5 | 11 | 12 | 2 | 3 |  |\n| 6 | 13 | 14 | 1 | 5 |  |\n| 6 | 13 | 14 | 2 | 4 |  |\n| 6 | 13 | 14 | 3 | 3 |  |\n| 7 | 15 | 16 | 1 | 6 |  |\n| 7 | 15 | 16 | 2 | 5 |  |\n| 7 | 15 | 16 | 3 | 4 |  |\n| 8 | 17 | 18 | 1 | 7 |  |\n| 8 | 17 | 18 | 2 | 6 |  |\n| 8 | 17 | 18 | 3 | 5 |  |\n| 8 | 17 | 18 | 4 | 4 |  |\n| 9 | 19 | 20 | 1 | 8 |  |\n| 9 | 19 | 20 | 2 | 7 |  |\n| 9 | 19 | 20 | 3 | 6 |  |\n| 9 | 19 | 20 | 4 | 5 |  |\n| 10 | 21 | 22 | 1 | 9 |  |\n| 10 | 21 | 22 | 2 | 8 |  |\n| 10 | 21 | 22 | 3 | 7 |  |\n| 10 | 21 | 22 | 4 | 6 |  |\n| 10 | 21 | 22 | 5 | 5 |  |\n| 11 | 23 | 24 | 1 | 10 |  |\n| 11 | 23 | 24 | 2 | 9 |  |\n| 11 | 23 | 24 | 3 | 8 |  |\n| 11 | 23 | 24 | 4 | 7 |  |\n| 11 | 23 | 24 | 5 | 6 |  |",0]
["| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |\n| --- | --- | --- | --- | --- |\n| 128 | 29.0044 | 34477 | 208130 | 81516 |\n| 64 | 7.2511 | 137910 | 1751495 | 714128 |\n| 48 | 4.0787 | 245176 | 4206178 | 1730890 |","| 32 | 1.8128 | 551633 | 14366575 | 5967144 |\n| --- | --- | --- | --- | --- |\n| 16 | 0.4532 | 2206531 | 116370643 | 48787963 |\n| 8 | 0.1133 | 8826125 | 929916251 | 394432233 |",1]
["| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |\n| --- | --- | --- | --- | --- |\n| 128 | 29.0044 | 34477 | 208130 | 81516 |\n| 64 | 7.2511 | 137910 | 1751495 | 714128 |\n| 48 | 4.0787 | 245176 | 4206178 | 1730890 |","| 6 | 13 | 14 | 1 | 5 |  |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 13 | 14 | 2 | 4 |  |\n| 6 | 13 | 14 | 3 | 3 |  |\n| 7 | 15 | 16 | 1 | 6 |  |\n| 7 | 15 | 16 | 2 | 5 |  |\n| 7 | 15 | 16 | 3 | 4 |  |\n| 8 | 17 | 18 | 1 | 7 |  |\n| 8 | 17 | 18 | 2 | 6 |  |\n| 8 | 17 | 18 | 3 | 5 |  |\n| 8 | 17 | 18 | 4 | 4 |  |\n| 9 | 19 | 20 | 1 | 8 |  |\n| 9 | 19 | 20 | 2 | 7 |  |\n| 9 | 19 | 20 | 3 | 6 |  |\n| 9 | 19 | 20 | 4 | 5 |  |\n| 10 | 21 | 22 | 1 | 9 |  |\n| 10 | 21 | 22 | 2 | 8 |  |\n| 10 | 21 | 22 | 3 | 7 |  |\n| 10 | 21 | 22 | 4 | 6 |  |\n| 10 | 21 | 22 | 5 | 5 |  |\n| 11 | 23 | 24 | 1 | 10 |  |\n| 11 | 23 | 24 | 2 | 9 |  |\n| 11 | 23 | 24 | 3 | 8 |  |\n| 11 | 23 | 24 | 4 | 7 |  |\n| 11 | 23 | 24 | 5 | 6 |  |",0]
["| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |\n| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |\n| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |\n| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |\n| 63,109 | 50,584 | 276 | 13.0s | 2.8s | 1.2s | 1.4s |\n| 269,223 | 160,203 | 712 | 1m22s | 9.8s | 4.4s | 3.7s |","| 1,625,520 | 827,469 | 2,244 | 9m17s | 50s | 16.8s | 20.3s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11,040,912 | 5,044,441 | 5,582 | 82m33s | 5m2s | 1m5s | 1m3s |\n|  | 36,633,391 | 14,872 |  | 46m59s | 8m30s | 6m20s |\n|  | 264,463,730 | 49,114 |  | 6h22m56s | 67m31s | 46m37s |\n|  | 1,852,158,881 | 145,276 |  |  | 10h25m45s | 7h43m57s |",1]
["| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |\n| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |\n| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |\n| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |\n| 63,109 | 50,584 | 276 | 13.0s | 2.8s | 1.2s | 1.4s |\n| 269,223 | 160,203 | 712 | 1m22s | 9.8s | 4.4s | 3.7s |","| 104.4 | 92.7 | 46.1 | 68.5 | 51.0 | 36.3 | 75.9 | 87.6 | 32.7 | 177.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.7 | 80.9 | 82.3 | 104.3 | 3190.5 | 39.4 | 68.9 | 88.8 | 31.6 | 182.8 |\n| 69.2 | 64.6 | 44.1 | 64.3 | 40.4 | 31.1 | 53.2 | 63.6 | 27.4 | 124.7 |\n| 65.9 | 62.0 | 58.7 | 79.9 | 141.5 | 29.5 | 46.4 | 65.3 | 26.0 | 131.1 |\n| 91.6 | 82.9 | 82.0 | 105.0 | 124.2 | 35.6 | 76.5 | 104.0 | 30.8 | 189.3 |",0]
["| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |\n| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |\n| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |\n| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |\n| 63,109 | 50,584 | 276 | 13.0s | 2.8s | 1.2s | 1.4s |\n| 269,223 | 160,203 | 712 | 1m22s | 9.8s | 4.4s | 3.7s |\n| 1,625,520 | 827,469 | 2,244 | 9m17s | 50s | 16.8s | 20.3s |\n| 11,040,912 | 5,044,441 | 5,582 | 82m33s | 5m2s | 1m5s | 1m3s |","|  | 36,633,391 | 14,872 |  | 46m59s | 8m30s | 6m20s |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 264,463,730 | 49,114 |  | 6h22m56s | 67m31s | 46m37s |\n|  | 1,852,158,881 | 145,276 |  |  | 10h25m45s | 7h43m57s |",1]
["| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |\n| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |\n| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |\n| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |\n| 63,109 | 50,584 | 276 | 13.0s | 2.8s | 1.2s | 1.4s |\n| 269,223 | 160,203 | 712 | 1m22s | 9.8s | 4.4s | 3.7s |\n| 1,625,520 | 827,469 | 2,244 | 9m17s | 50s | 16.8s | 20.3s |\n| 11,040,912 | 5,044,441 | 5,582 | 82m33s | 5m2s | 1m5s | 1m3s |","| 69.2 | 64.6 | 44.1 | 64.3 | 40.4 | 31.1 | 53.2 | 63.6 | 27.4 | 124.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 65.9 | 62.0 | 58.7 | 79.9 | 141.5 | 29.5 | 46.4 | 65.3 | 26.0 | 131.1 |\n| 91.6 | 82.9 | 82.0 | 105.0 | 124.2 | 35.6 | 76.5 | 104.0 | 30.8 | 189.3 |",0]
["| YG24K |\n| --- |\n| RMSEMAER |\n| 0.3740.308-0.777<br>0.4440.363-1.322<br>0.3020.257-0.145 |","| 0.2890.251-0.004<br>0.2870.248-0.004<br>0.2930.2560.002<br>0.2900.251-0.006<br>0.2880.2490.000 |\n| --- |\n| 0.0650.0130.879 |",1]
["| YG24K |\n| --- |\n| RMSEMAER |\n| 0.3740.308-0.777<br>0.4440.363-1.322<br>0.3020.257-0.145 |","|  | JavaSHA1PRNG | DRBG-SHA1 | DRBG-SHA256(1000) | DRBG-SHA256(10000) |\n| --- | --- | --- | --- | --- |\n| ∆wlil,0.1 | 0.140 | 0.194 | 0.200 | 0.045 |\n| ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |\n| RMSDwlil,0.1 | 0.004647 | 0.003741 | 0.004984 | 0.00118 |\n| RMSDwlil,0.05 | 0.004042 | 0.003023 | 0.004423 | 0.001107 |",0]
["| YG24K |\n| --- |\n| RMSEMAER |","| 0.3740.308-0.777<br>0.4440.363-1.322<br>0.3020.257-0.145 |\n| --- |\n| 0.2890.251-0.004<br>0.2870.248-0.004<br>0.2930.2560.002<br>0.2900.251-0.006<br>0.2880.2490.000 |\n| 0.0650.0130.879 |",1]
["| YG24K |\n| --- |\n| RMSEMAER |","| ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |\n| --- | --- | --- | --- | --- |\n| RMSDwlil,0.1 | 0.004647 | 0.003741 | 0.004984 | 0.00118 |\n| RMSDwlil,0.05 | 0.004042 | 0.003023 | 0.004423 | 0.001107 |",0]
["| Totalnumberofdialogues | 1092 |\n| --- | --- |\n| Totalnumberofutterances | 10114 |\n| Totalnumberofwords | 33477 |","| Totalnumberofsemanticunits | 14584 |\n| --- | --- |\n| Diﬀerentclassesofsemanticunits | 38 |",1]
["| Totalnumberofdialogues | 1092 |\n| --- | --- |\n| Totalnumberofutterances | 10114 |\n| Totalnumberofwords | 33477 |","| Numberofwriters | 16 |\n| --- | --- |\n| Numberofpages | 176 |\n| Numberoflines | 1717 |\n| NumberofWords | 12853 |\n| OOVwords | 1066 |",0]
["| Totalnumberofdialogues | 1092 |\n| --- | --- |\n| Totalnumberofutterances | 10114 |\n| Totalnumberofwords | 33477 |","| Totalnumberofsemanticunits | 14584 |\n| --- | --- |\n| Diﬀerentclassesofsemanticunits | 38 |",1]
["| Totalnumberofdialogues | 1092 |\n| --- | --- |\n| Totalnumberofutterances | 10114 |\n| Totalnumberofwords | 33477 |","| Numberoflines | 1717 |\n| --- | --- |\n| NumberofWords | 12853 |\n| OOVwords | 1066 |",0]
["| Method | Faceclustering | Motionsegmentation |  |\n| --- | --- | --- | --- |\n| Scenario1 | Scenario2 |  |  |\n| LRR | λ=0.18 | λ=4 |  |\n| LSA | K=3,d=5 | K=8,d=5 |  |\n| SSC | λ=8/µee | λ=20/µee | λ=800/µzz |","| LRSC | τ=0.4,α=0.045 | τ=0.045,α=0.045 | τ=420,α=3000orα=5000 |\n| --- | --- | --- | --- |\n| SCLD | ρ=0.08 | ρ=0.03 | ρ=55 |",1]
["| Method | Faceclustering | Motionsegmentation |  |\n| --- | --- | --- | --- |\n| Scenario1 | Scenario2 |  |  |\n| LRR | λ=0.18 | λ=4 |  |\n| LSA | K=3,d=5 | K=8,d=5 |  |\n| SSC | λ=8/µee | λ=20/µee | λ=800/µzz |","| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["| Method | Faceclustering | Motionsegmentation |\n| --- | --- | --- |\n| Scenario1 | Scenario2 |  |\n| LRR | λ=0.18 | λ=4 |\n| LSA | K=3,d=5 | K=8,d=5 |","| SSC | λ=8/µee | λ=20/µee | λ=800/µzz |\n| --- | --- | --- | --- |\n| LRSC | τ=0.4,α=0.045 | τ=0.045,α=0.045 | τ=420,α=3000orα=5000 |\n| SCLD | ρ=0.08 | ρ=0.03 | ρ=55 |",1]
["| Method | Faceclustering | Motionsegmentation |\n| --- | --- | --- |\n| Scenario1 | Scenario2 |  |\n| LRR | λ=0.18 | λ=4 |\n| LSA | K=3,d=5 | K=8,d=5 |","| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| --- | --- | --- | --- | --- |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |","| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| --- |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |","| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |","| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| --- |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |","| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| --- |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",0]
["| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |","| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",1]
["| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |","| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 |",0]
["| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |","| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | -<br>-<br>- | 30.35<br>27.41<br>26.85 | 1.5<br>2.1<br>1.7 | 30.15<br>27.21<br>26.72 | 0.18<br>0.39<br>0.23 | 30.45<br>27.44<br>26.88 | 1.3<br>2.8<br>1.7 | 30.82<br>27.62<br>27.02 | 1.2<br>2.3<br>1.4 | 30.04<br>27.12<br>26.73 |",1]
["| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<br>31.57 | 2.1<br>3.9<br>3.1 | 36.33<br>32.15<br>31.34 | 0.18<br>0.39<br>0.23 | 36.67<br>32.35<br>31.53 | 1.3<br>2.8<br>1.7 | 36.76<br>32.48<br>31.63 | 0.94<br>1.7<br>1.1 | 36.53<br>32.22<br>31.44 |","| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 |",0]
["| σ/PSNR | 25/20.17 | 50/14.15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |\n| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |\n| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |\n| Fprint | 27.34 | 27.32 | 27.15 | 24.13 | 24.06 | 24.22 |\n| House | 32.54 | 32.37 | 33.05 | 29.64 | 29.56 | 30.21 |\n| Peppers | 30.01 | 30.33 | 30.38 | 26.75 | 26.93 | 27.09 |\n| Average | 30.31 | 30.51 | 30.43 | 27.25 | 27.42 | 27.44 |\n| σ/PSNR | 75/10.63 | 100/8.13 |  |  |  |  |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 27.22 | 27.50 | 27.41 | 26.01 | 26.36 | 26.14 |\n| Barbara | 25.42 | 25.82 | 25.20 | 24.07 | 24.46 | 23.74 |\n| Boats | 24.99 | 25.15 | 25.17 | 23.90 | 24.04 | 24.03 |\n| Fprint | 22.47 | 22.47 | 22.64 | 21.44 | 21.53 | 21.50 |\n| House | 27.79 | 27.37 | 28.18 | 26.30 | 25.98 | 26.66 |","| Peppers | 24.72 | 24.98 | 25.13 | 23.21 | 23.56 | 23.68 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Average | 25.44 | 25.55 | 25.62 | 24.16 | 24.32 | 24.29 |",1]
["| σ/PSNR | 25/20.17 | 50/14.15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |\n| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |\n| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |\n| Fprint | 27.34 | 27.32 | 27.15 | 24.13 | 24.06 | 24.22 |\n| House | 32.54 | 32.37 | 33.05 | 29.64 | 29.56 | 30.21 |\n| Peppers | 30.01 | 30.33 | 30.38 | 26.75 | 26.93 | 27.09 |\n| Average | 30.31 | 30.51 | 30.43 | 27.25 | 27.42 | 27.44 |\n| σ/PSNR | 75/10.63 | 100/8.13 |  |  |  |  |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 27.22 | 27.50 | 27.41 | 26.01 | 26.36 | 26.14 |\n| Barbara | 25.42 | 25.82 | 25.20 | 24.07 | 24.46 | 23.74 |\n| Boats | 24.99 | 25.15 | 25.17 | 23.90 | 24.04 | 24.03 |\n| Fprint | 22.47 | 22.47 | 22.64 | 21.44 | 21.53 | 21.50 |\n| House | 27.79 | 27.37 | 28.18 | 26.30 | 25.98 | 26.66 |","| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Lena |  | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |\n| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 |  |\n| Barbara |  | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |\n| ours | 7.75 | 4.04 | 5.82 | 1.95 | 1.24 | 5.43 |  |\n| House |  | 10.44 | 8.79 | 13.11 | 6.38 | 5.95 | 7.56 |\n| ours | 10.41 | 9.10 | 13.46 | 6.33 | 6.35 | 6.74 |  |\n| C.man |  | 9.24 | 7.38 | 10.21 | 4.34 | 4.68 | 5.26 |\n| ours | 9.26 | 7.59 | 10.40 | 4.58 | 5.22 | 5.06 |  |\n| Average |  | 9.08 | 6.92 | 9.55 | 4.61 | 4.25 | 6.45 |\n| ours | 8.95 | 6.96 | 9.75 | 4.58 | 4.50 | 5.88 |  |",0]
["| σ/PSNR | 25/20.17 | 50/14.15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |\n| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |\n| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |\n| Fprint | 27.34 | 27.32 | 27.15 | 24.13 | 24.06 | 24.22 |","| House | 32.54 | 32.37 | 33.05 | 29.64 | 29.56 | 30.21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Peppers | 30.01 | 30.33 | 30.38 | 26.75 | 26.93 | 27.09 |\n| Average | 30.31 | 30.51 | 30.43 | 27.25 | 27.42 | 27.44 |\n| σ/PSNR | 75/10.63 | 100/8.13 |  |  |  |  |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 27.22 | 27.50 | 27.41 | 26.01 | 26.36 | 26.14 |\n| Barbara | 25.42 | 25.82 | 25.20 | 24.07 | 24.46 | 23.74 |\n| Boats | 24.99 | 25.15 | 25.17 | 23.90 | 24.04 | 24.03 |\n| Fprint | 22.47 | 22.47 | 22.64 | 21.44 | 21.53 | 21.50 |\n| House | 27.79 | 27.37 | 28.18 | 26.30 | 25.98 | 26.66 |\n| Peppers | 24.72 | 24.98 | 25.13 | 23.21 | 23.56 | 23.68 |\n| Average | 25.44 | 25.55 | 25.62 | 24.16 | 24.32 | 24.29 |",1]
["| σ/PSNR | 25/20.17 | 50/14.15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |\n| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |\n| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |\n| Fprint | 27.34 | 27.32 | 27.15 | 24.13 | 24.06 | 24.22 |","| ours | 7.75 | 4.04 | 5.82 | 1.95 | 1.24 | 5.43 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| House |  | 10.44 | 8.79 | 13.11 | 6.38 | 5.95 | 7.56 |\n| ours | 10.41 | 9.10 | 13.46 | 6.33 | 6.35 | 6.74 |  |\n| C.man |  | 9.24 | 7.38 | 10.21 | 4.34 | 4.68 | 5.26 |\n| ours | 9.26 | 7.59 | 10.40 | 4.58 | 5.22 | 5.06 |  |\n| Average |  | 9.08 | 6.92 | 9.55 | 4.61 | 4.25 | 6.45 |\n| ours | 8.95 | 6.96 | 9.75 | 4.58 | 4.50 | 5.88 |  |",0]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |\n| -classe1830(attendus=169,ramenes=526.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=6.00)<br>rappel=0.036precision=0.072f-mesure=0.048 |\n| -classe1850(attendus=169,ramenes=141.00,corrects=7.00)<br>rappel=0.041precision=0.050f-mesure=0.045 |\n| -classe1860(attendus=170,ramenes=94.00,corrects=6.00)<br>rappel=0.035precision=0.064f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=85.00,corrects=9.00)<br>rappel=0.053precision=0.106f-mesure=0.071 |\n| -classe1880(attendus=169,ramenes=145.00,corrects=15.00)<br>rappel=0.089precision=0.103f-mesure=0.096 |\n| -classe1890(attendus=197,ramenes=109.00,corrects=10.00)<br>rappel=0.051precision=0.092f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=86.00,corrects=5.00)<br>rappel=0.025precision=0.058f-mesure=0.035 |\n| -classe1920(attendus=200,ramenes=175.00,corrects=13.00)<br>rappel=0.065precision=0.074f-mesure=0.069 |\n| -classe1930(attendus=200,ramenes=106.00,corrects=11.00)<br>rappel=0.055precision=0.104f-mesure=0.072 |","| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |\n| --- |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.093macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |\n| -classe1830(attendus=169,ramenes=526.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=6.00)<br>rappel=0.036precision=0.072f-mesure=0.048 |\n| -classe1850(attendus=169,ramenes=141.00,corrects=7.00)<br>rappel=0.041precision=0.050f-mesure=0.045 |\n| -classe1860(attendus=170,ramenes=94.00,corrects=6.00)<br>rappel=0.035precision=0.064f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=85.00,corrects=9.00)<br>rappel=0.053precision=0.106f-mesure=0.071 |\n| -classe1880(attendus=169,ramenes=145.00,corrects=15.00)<br>rappel=0.089precision=0.103f-mesure=0.096 |\n| -classe1890(attendus=197,ramenes=109.00,corrects=10.00)<br>rappel=0.051precision=0.092f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=86.00,corrects=5.00)<br>rappel=0.025precision=0.058f-mesure=0.035 |\n| -classe1920(attendus=200,ramenes=175.00,corrects=13.00)<br>rappel=0.065precision=0.074f-mesure=0.069 |\n| -classe1930(attendus=200,ramenes=106.00,corrects=11.00)<br>rappel=0.055precision=0.104f-mesure=0.072 |","| -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |\n| -classe1830(attendus=169,ramenes=527.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |\n| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |\n| -classe1880(attendus=169,ramenes=147.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.089 |\n| -classe1890(attendus=197,ramenes=107.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |\n| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |\n| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |\n| -classe1830(attendus=169,ramenes=526.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=6.00)<br>rappel=0.036precision=0.072f-mesure=0.048 |\n| -classe1850(attendus=169,ramenes=141.00,corrects=7.00)<br>rappel=0.041precision=0.050f-mesure=0.045 |\n| -classe1860(attendus=170,ramenes=94.00,corrects=6.00)<br>rappel=0.035precision=0.064f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=85.00,corrects=9.00)<br>rappel=0.053precision=0.106f-mesure=0.071 |\n| -classe1880(attendus=169,ramenes=145.00,corrects=15.00)<br>rappel=0.089precision=0.103f-mesure=0.096 |\n| -classe1890(attendus=197,ramenes=109.00,corrects=10.00)<br>rappel=0.051precision=0.092f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |","| -classe1910(attendus=201,ramenes=86.00,corrects=5.00)<br>rappel=0.025precision=0.058f-mesure=0.035 |\n| --- |\n| -classe1920(attendus=200,ramenes=175.00,corrects=13.00)<br>rappel=0.065precision=0.074f-mesure=0.069 |\n| -classe1930(attendus=200,ramenes=106.00,corrects=11.00)<br>rappel=0.055precision=0.104f-mesure=0.072 |\n| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.093macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |\n| --- |\n| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |\n| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |\n| -classe1830(attendus=169,ramenes=526.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |\n| -classe1840(attendus=169,ramenes=83.00,corrects=6.00)<br>rappel=0.036precision=0.072f-mesure=0.048 |\n| -classe1850(attendus=169,ramenes=141.00,corrects=7.00)<br>rappel=0.041precision=0.050f-mesure=0.045 |\n| -classe1860(attendus=170,ramenes=94.00,corrects=6.00)<br>rappel=0.035precision=0.064f-mesure=0.045 |\n| -classe1870(attendus=169,ramenes=85.00,corrects=9.00)<br>rappel=0.053precision=0.106f-mesure=0.071 |\n| -classe1880(attendus=169,ramenes=145.00,corrects=15.00)<br>rappel=0.089precision=0.103f-mesure=0.096 |\n| -classe1890(attendus=197,ramenes=109.00,corrects=10.00)<br>rappel=0.051precision=0.092f-mesure=0.065 |\n| -classe1900(attendus=203,ramenes=320.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |","| -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |\n| --- |\n| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |\n| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 |",0]
["| Word | ClusterWords | P(c\\|w)ij |\n| --- | --- | --- |\n| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |\n| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,ﬁnance,investment | 0.65<br>0.32 |","| break:1<br>break:2<br>break:3 | vacation,holiday,trip,spring<br>encryption,cipher,security,privacy<br>if,elseif,endif,loop,continue | 0.52<br>0.22<br>0.23 |\n| --- | --- | --- |\n| unit:1<br>unit:2 | calculation,distance,mass,length<br>electronics,KWH,digital,signal | 0.25<br>0.69 |",1]
["| Word | ClusterWords | P(c\\|w)ij |\n| --- | --- | --- |\n| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |\n| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,ﬁnance,investment | 0.65<br>0.32 |","| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |\n| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |\n| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 |\n| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |\n| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |",0]
["| Word | ClusterWords | P(c\\|w)ij |\n| --- | --- | --- |\n| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |\n| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,ﬁnance,investment | 0.65<br>0.32 |","| break:1<br>break:2<br>break:3 | vacation,holiday,trip,spring<br>encryption,cipher,security,privacy<br>if,elseif,endif,loop,continue | 0.52<br>0.22<br>0.23 |\n| --- | --- | --- |\n| unit:1<br>unit:2 | calculation,distance,mass,length<br>electronics,KWH,digital,signal | 0.25<br>0.69 |",1]
["| Word | ClusterWords | P(c\\|w)ij |\n| --- | --- | --- |\n| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |\n| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,ﬁnance,investment | 0.65<br>0.32 |","| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |\n| --- | --- | --- | --- | --- | --- | --- |\n| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |",0]
["| Features | RBFKernelSVM | RandomForest | LinearSVM |\n| --- | --- | --- | --- |\n| Charactern-grams | 73.1 | 75.0 | 66.4 |","| Wordn-grams | 71.4 | 76.7 | 68.0 |\n| --- | --- | --- | --- |\n| Sarcasmindicativetokens | 66.1 | 72.0 | 70.2 |\n| Emoticons | 62.8 | 68.5 | 65.7 |\n| Allfeatures | 76.5 | 78.4 | 71.7 |",1]
["| Features | RBFKernelSVM | RandomForest | LinearSVM |\n| --- | --- | --- | --- |\n| Charactern-grams | 73.1 | 75.0 | 66.4 |","| WordEmbeddingModel | Classiﬁcationaccuracyontestingdataset |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| N=12,920 | N=2,295 | N=2,186 | N=308 |  |  |  |  |  |\n| RF | SVM | RF | SVM | RF | SVM | RF | SVM |  |\n| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |\n| GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 |\n| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |\n| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |\n| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |\n| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |\n| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",0]
["| Features | RBFKernelSVM | RandomForest | LinearSVM |\n| --- | --- | --- | --- |\n| Charactern-grams | 73.1 | 75.0 | 66.4 |\n| Wordn-grams | 71.4 | 76.7 | 68.0 |\n| Sarcasmindicativetokens | 66.1 | 72.0 | 70.2 |","| Emoticons | 62.8 | 68.5 | 65.7 |\n| --- | --- | --- | --- |\n| Allfeatures | 76.5 | 78.4 | 71.7 |",1]
["| Features | RBFKernelSVM | RandomForest | LinearSVM |\n| --- | --- | --- | --- |\n| Charactern-grams | 73.1 | 75.0 | 66.4 |\n| Wordn-grams | 71.4 | 76.7 | 68.0 |\n| Sarcasmindicativetokens | 66.1 | 72.0 | 70.2 |","| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",0]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | iter. | \\|K\\|0 | states | trans. | Time1 | Time2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |","| Flip-ﬂop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| And–Or | 3 | [4,8] | 4 | 12 | 14 | 4 | 13 | 13 | 1.81 | 0.15 |\n| ValmemLatch | 7 | [2,5] | 8 | 13 | 12 | 6 | 18 | 17 | 14.4 | 0.345 |\n| CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 342 | 41 | 1.01 |\n| RCP | 5 | [6,11] | 6 | 5 | 20 | 2 | 327 | 518 | 64 | 2.3 |\n| SPSMALL1 | 10 | [3,8] | 10 | 26 | 32 | 23 | 31 | 30 | 4680 | 2.6 |\n| BRP | 6 | [2,6] | 7 | 6 | 30 | 7 | 429 | 474 | 901 | 34 |\n| SPSMALL2 | 28 | [2,11] | 28 | 5 | 92 | 8 | 472 | 548 | - | 1755 |",1]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | iter. | \\|K\\|0 | states | trans. | Time1 | Time2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |","| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | \\|V\\|0 | tiles | states | trans. | Time |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |\n| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 118 |\n| ValmemLatch | 7 | [2,5] | 8 | 4 | 73062 | 5 | 21 | 20 | 96.3 |\n| CSMA/CD | 3 | [3,8] | 3 | 3 | 2000 | 140 | 349 | 545 | 269 |\n| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |\n| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 |",0]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | iter. | \\|K\\|0 | states | trans. | Time1 | Time2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 |","| And–Or | 3 | [4,8] | 4 | 12 | 14 | 4 | 13 | 13 | 1.81 | 0.15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ValmemLatch | 7 | [2,5] | 8 | 13 | 12 | 6 | 18 | 17 | 14.4 | 0.345 |\n| CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 342 | 41 | 1.01 |\n| RCP | 5 | [6,11] | 6 | 5 | 20 | 2 | 327 | 518 | 64 | 2.3 |\n| SPSMALL1 | 10 | [3,8] | 10 | 26 | 32 | 23 | 31 | 30 | 4680 | 2.6 |\n| BRP | 6 | [2,6] | 7 | 6 | 30 | 7 | 429 | 474 | 901 | 34 |\n| SPSMALL2 | 28 | [2,11] | 28 | 5 | 92 | 8 | 472 | 548 | - | 1755 |",1]
["| Example | PTAs | loc./PTA | \\|X\\| | \\|P\\| | iter. | \\|K\\|0 | states | trans. | Time1 | Time2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |\n| Flip-ﬂop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 |","| RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 |",0]
["|  | Doubling | DoublingandAddition |\n| --- | --- | --- |\n| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp |","| Algorithmin | kk1S+1Mpp<br>k=1.8Mp | kk1S+2Mpp<br>k=2.8Mp |\n| --- | --- | --- |\n| Algorithm?? | kk2S+2Mpp<br>k=3.6Mp | kk2S+4Mpp<br>k=5.6Mp |\n| Algorithm?? | kk2S+1Mpp<br>k=2.6Mp | kkk2S+2M=3.6M(line3)ppp<br>kkk2S+3M=4.6M(line4)ppp |",1]
["|  | Doubling | DoublingandAddition |\n| --- | --- | --- |\n| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp |","| Algorithm | Additions | Multiplications |\n| --- | --- | --- |\n| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |\n| IDMCG | 2M+10M−4 | 3M+12M+3 |\n| IncrementalLMS | 4M−1 | 3M+1 |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",0]
["|  | Doubling | DoublingandAddition |\n| --- | --- | --- |\n| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp |\n| Algorithmin | kk1S+1Mpp<br>k=1.8Mp | kk1S+2Mpp<br>k=2.8Mp |","| Algorithm?? | kk2S+2Mpp<br>k=3.6Mp | kk2S+4Mpp<br>k=5.6Mp |\n| --- | --- | --- |\n| Algorithm?? | kk2S+1Mpp<br>k=2.6Mp | kkk2S+2M=3.6M(line3)ppp<br>kkk2S+3M=4.6M(line4)ppp |",1]
["|  | Doubling | DoublingandAddition |\n| --- | --- | --- |\n| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp |\n| Algorithmin | kk1S+1Mpp<br>k=1.8Mp | kk1S+2Mpp<br>k=2.8Mp |","| IDMCG | 2M+10M−4 | 3M+12M+3 |\n| --- | --- | --- |\n| IncrementalLMS | 4M−1 | 3M+1 |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| Method | Frontal-Frontal | Frontal-Proﬁle |\n| --- | --- | --- |\n| Senguptaetal. | 96.40 | 84.91 |\n| Sankaranaetal. | 96.93 | 89.17 |\n| Chenetal. | 98.67 | 91.97 |\n| DR-GAN | 97.84 | 93.41 |","| Human | 96.24 | 94.57 |\n| --- | --- | --- |\n| Ours | 98.67 | 93.76 |",1]
["| Method | Frontal-Frontal | Frontal-Proﬁle |\n| --- | --- | --- |\n| Senguptaetal. | 96.40 | 84.91 |\n| Sankaranaetal. | 96.93 | 89.17 |\n| Chenetal. | 98.67 | 91.97 |\n| DR-GAN | 97.84 | 93.41 |","| Approach | Input | Actions | Evaluations | SuccessRate |\n| --- | --- | --- | --- | --- |\n| Singhetal. | Silhouette | 14 | LOSO | 82.4 |\n| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |\n| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |\n| Proposed | Silhouette | 10 | NoTraining | 93.75 |",0]
["| Method | Frontal-Frontal | Frontal-Proﬁle |\n| --- | --- | --- |\n| Senguptaetal. | 96.40 | 84.91 |\n| Sankaranaetal. | 96.93 | 89.17 |\n| Chenetal. | 98.67 | 91.97 |","| DR-GAN | 97.84 | 93.41 |\n| --- | --- | --- |\n| Human | 96.24 | 94.57 |\n| Ours | 98.67 | 93.76 |",1]
["| Method | Frontal-Frontal | Frontal-Proﬁle |\n| --- | --- | --- |\n| Senguptaetal. | 96.40 | 84.91 |\n| Sankaranaetal. | 96.93 | 89.17 |\n| Chenetal. | 98.67 | 91.97 |","| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| --- | --- | --- | --- | --- |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |\n| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |\n| Proposed | Silhouette | 10 | NoTraining | 93.75 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 150000 | 15000 | 20000 | 5000 |\n| 35000 | 150000 | 25000 | 10000 |\n| 180000 | 80000 | 30000 | 15000 |","| 450000 | 100000 | 200000 | 30000 |\n| --- | --- | --- | --- |\n| 50000 | 5000 | 10000 | 60000 |\n| 200000 | 20000 | 5000 | 70000 |\n| 45000 | 25000 | 50000 | 80000 |\n| 70000 | 35000 | 40000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 150000 | 15000 | 20000 | 5000 |\n| 35000 | 150000 | 25000 | 10000 |\n| 180000 | 80000 | 30000 | 15000 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 200000 | 100000 | 50000 | 70000 |\n| 50000 | 80000 | 40000 | 60000 |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 150000 | 15000 | 20000 | 5000 |","| 35000 | 150000 | 25000 | 10000 |\n| --- | --- | --- | --- |\n| 180000 | 80000 | 30000 | 15000 |\n| 450000 | 100000 | 200000 | 30000 |\n| 50000 | 5000 | 10000 | 60000 |\n| 200000 | 20000 | 5000 | 70000 |\n| 45000 | 25000 | 50000 | 80000 |\n| 70000 | 35000 | 40000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 150000 | 15000 | 20000 | 5000 |","| 200000 | 100000 | 50000 | 70000 |\n| --- | --- | --- | --- |\n| 50000 | 80000 | 40000 | 60000 |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |\n| --- | --- | --- | --- | --- |\n| Ev101 | BirthdayParty | 237 | 6 | 5 |\n| Ev102 | FlashMob | 150 | 33 | 4 |\n| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |\n| Ev104 | Parade | 230 | 4 | 4 |","| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |\n| --- | --- | --- | --- | --- |\n| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |\n| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |\n| Ev108 | PersonLandingaFish | 143 | 15 | 9 |\n| Ev109 | WeddingCeremony | 219 | 2 | 6 |\n| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |\n|  | Total | 1823 | 115 | 62 |",1]
["| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |\n| --- | --- | --- | --- | --- |\n| Ev101 | BirthdayParty | 237 | 6 | 5 |\n| Ev102 | FlashMob | 150 | 33 | 4 |\n| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |\n| Ev104 | Parade | 230 | 4 | 4 |","| Event | StringsExcluded | #ofVideoswith<br>ThoseStrings |\n| --- | --- | --- |\n| BirthdayParty | anniversaire,birthday,complea,geburtstag | 339 |\n| Parade | parada,parade | 192 |\n| PersonAttemptingaBoardTrick | sk8,skateboard,skating,snowboard,surf;ollie | 295 |\n| PersonHand-FeedinganAnimal | fed,feed | 180 |\n| WeddingCeremony | hochzeit,mariage,marriage,wedding | 213 |",0]
["| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |\n| --- | --- | --- | --- | --- |\n| Ev101 | BirthdayParty | 237 | 6 | 5 |\n| Ev102 | FlashMob | 150 | 33 | 4 |\n| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |\n| Ev104 | Parade | 230 | 4 | 4 |\n| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |\n| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |\n| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |\n| Ev108 | PersonLandingaFish | 143 | 15 | 9 |\n| Ev109 | WeddingCeremony | 219 | 2 | 6 |","| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |\n| --- | --- | --- | --- | --- |\n|  | Total | 1823 | 115 | 62 |",1]
["| Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |\n| --- | --- | --- | --- | --- |\n| Ev101 | BirthdayParty | 237 | 6 | 5 |\n| Ev102 | FlashMob | 150 | 33 | 4 |\n| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |\n| Ev104 | Parade | 230 | 4 | 4 |\n| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |\n| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |\n| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |\n| Ev108 | PersonLandingaFish | 143 | 15 | 9 |\n| Ev109 | WeddingCeremony | 219 | 2 | 6 |","| Parade | parada,parade | 192 |\n| --- | --- | --- |\n| PersonAttemptingaBoardTrick | sk8,skateboard,skating,snowboard,surf;ollie | 295 |\n| PersonHand-FeedinganAnimal | fed,feed | 180 |\n| WeddingCeremony | hochzeit,mariage,marriage,wedding | 213 |",0]
["| Dataset | #triples | ntFileSize |\n| --- | --- | --- |\n| LUBM1K | 133M | 22GB |\n| LUBM2K | 267M | 43GB |","| LUBM10K | 1,334M | 213GB |\n| --- | --- | --- |\n| Wikidata | 233M | 37GB |",1]
["| Dataset | #triples | ntFileSize |\n| --- | --- | --- |\n| LUBM1K | 133M | 22GB |\n| LUBM2K | 267M | 43GB |","| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| Dataset | #triples | ntFileSize |\n| --- | --- | --- |\n| LUBM1K | 133M | 22GB |","| LUBM2K | 267M | 43GB |\n| --- | --- | --- |\n| LUBM10K | 1,334M | 213GB |\n| Wikidata | 233M | 37GB |",1]
["| Dataset | #triples | ntFileSize |\n| --- | --- | --- |\n| LUBM1K | 133M | 22GB |","| 50 | 500 | 0.67GB |\n| --- | --- | --- |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| UDC | MSDialog |\n| --- | --- |\n| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |\n| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 |","| 0.66200.82920.52890.6554 | 0.44190.64230.26520.3970 |\n| --- | --- |\n| 0.68550.89780.53500.6959 | 0.53980.86620.31890.5413 |\n| 0.66110.89360.49730.6733 | 0.50590.85160.27680.5000 |\n| 0.67490.87760.52870.6773 | 0.57040.90030.35070.5854 |\n| 0.56920.82720.47560.5592 | 0.51580.84810.29340.5046 |\n| 0.73270.92730.59480.7523 | 0.61880.83740.45290.6195 |\n| 0.73630.91960.60560.7509 | 0.64150.91550.45210.6673 |\n| ‡‡‡‡<br>0.76550.93510.64430.7841 | ‡‡‡‡<br>0.67280.93040.49080.7089 |\n| 0.77190.93430.65520.7893 | 0.67920.93560.50210.7122 |",1]
["| UDC | MSDialog |\n| --- | --- |\n| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |\n| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 |","| measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |\n|  | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |\n|  | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |\n|  | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |\n|  | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |\n|  | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |\n|  | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |\n| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",0]
["| UDC | MSDialog |\n| --- | --- |\n| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |\n| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 |\n| 0.66200.82920.52890.6554 | 0.44190.64230.26520.3970 |\n| 0.68550.89780.53500.6959 | 0.53980.86620.31890.5413 |\n| 0.66110.89360.49730.6733 | 0.50590.85160.27680.5000 |\n| 0.67490.87760.52870.6773 | 0.57040.90030.35070.5854 |\n| 0.56920.82720.47560.5592 | 0.51580.84810.29340.5046 |\n| 0.73270.92730.59480.7523 | 0.61880.83740.45290.6195 |\n| 0.73630.91960.60560.7509 | 0.64150.91550.45210.6673 |","| ‡‡‡‡<br>0.76550.93510.64430.7841 | ‡‡‡‡<br>0.67280.93040.49080.7089 |\n| --- | --- |\n| 0.77190.93430.65520.7893 | 0.67920.93560.50210.7122 |",1]
["| UDC | MSDialog |\n| --- | --- |\n| MAPRecall@5Recall@1Recall@2 | MAPRecall@5Recall@1Recall@2 |\n| 0.65040.82060.51380.6439 | 0.43870.63290.26260.3933 |\n| 0.66200.82920.52890.6554 | 0.44190.64230.26520.3970 |\n| 0.68550.89780.53500.6959 | 0.53980.86620.31890.5413 |\n| 0.66110.89360.49730.6733 | 0.50590.85160.27680.5000 |\n| 0.67490.87760.52870.6773 | 0.57040.90030.35070.5854 |\n| 0.56920.82720.47560.5592 | 0.51580.84810.29340.5046 |\n| 0.73270.92730.59480.7523 | 0.61880.83740.45290.6195 |\n| 0.73630.91960.60560.7509 | 0.64150.91550.45210.6673 |","| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 |",0]
["| Country | dataset | dataset |  |  |\n| --- | --- | --- | --- | --- |\n| - | ρ | p-value | ρ | p-value |\n| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |\n| Australia | 0.32 | 0.23 | 0.60 | 0.02 |\n| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |\n| Chile | 0.32 | 0.23 | 0.53 | 0.04 |\n| England | 0.87 | 0 | 0.70 | 0.004 |\n| France | 0.85 | 2e-06 | 0.61 | 0.01 |\n| Indonesia | 0.84 | 4e-05 | 0.75 | 0.001 |","| Japan | 0.38 | 0.15 | 0.39 | 0.13 |\n| --- | --- | --- | --- | --- |\n| Korea | 0.68 | 0.004 | 0.45 | 0.08 |\n| Malaysia | -0.16 | 0.54 | 0.11 | 0.68 |\n| Mexico | 0.55 | 0.03 | 0.71 | 0.003 |\n| Russia | 0.78 | 0.0006 | 0.76 | 0.001 |\n| Singapore | 0.34 | 0.20 | 0.65 | 0.008 |\n| Spain | 0.78 | 0.0005 | 0.75 | 0.001 |\n| Turkey | -0.18 | 0.50 | -0.31 | 0.24 |\n| USA | 0.70 | 0.004 | 0.67 | 0.005 |",1]
["| Country | dataset | dataset |  |  |\n| --- | --- | --- | --- | --- |\n| - | ρ | p-value | ρ | p-value |\n| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |\n| Australia | 0.32 | 0.23 | 0.60 | 0.02 |\n| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |\n| Chile | 0.32 | 0.23 | 0.53 | 0.04 |\n| England | 0.87 | 0 | 0.70 | 0.004 |\n| France | 0.85 | 2e-06 | 0.61 | 0.01 |\n| Indonesia | 0.84 | 4e-05 | 0.75 | 0.001 |","| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Country | dataset | dataset |  |  |\n| --- | --- | --- | --- | --- |\n| - | ρ | p-value | ρ | p-value |\n| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |\n| Australia | 0.32 | 0.23 | 0.60 | 0.02 |\n| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |\n| Chile | 0.32 | 0.23 | 0.53 | 0.04 |\n| England | 0.87 | 0 | 0.70 | 0.004 |\n| France | 0.85 | 2e-06 | 0.61 | 0.01 |\n| Indonesia | 0.84 | 4e-05 | 0.75 | 0.001 |\n| Japan | 0.38 | 0.15 | 0.39 | 0.13 |\n| Korea | 0.68 | 0.004 | 0.45 | 0.08 |\n| Malaysia | -0.16 | 0.54 | 0.11 | 0.68 |","| Mexico | 0.55 | 0.03 | 0.71 | 0.003 |\n| --- | --- | --- | --- | --- |\n| Russia | 0.78 | 0.0006 | 0.76 | 0.001 |\n| Singapore | 0.34 | 0.20 | 0.65 | 0.008 |\n| Spain | 0.78 | 0.0005 | 0.75 | 0.001 |\n| Turkey | -0.18 | 0.50 | -0.31 | 0.24 |\n| USA | 0.70 | 0.004 | 0.67 | 0.005 |",1]
["| Country | dataset | dataset |  |  |\n| --- | --- | --- | --- | --- |\n| - | ρ | p-value | ρ | p-value |\n| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |\n| Australia | 0.32 | 0.23 | 0.60 | 0.02 |\n| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |\n| Chile | 0.32 | 0.23 | 0.53 | 0.04 |\n| England | 0.87 | 0 | 0.70 | 0.004 |\n| France | 0.85 | 2e-06 | 0.61 | 0.01 |\n| Indonesia | 0.84 | 4e-05 | 0.75 | 0.001 |\n| Japan | 0.38 | 0.15 | 0.39 | 0.13 |\n| Korea | 0.68 | 0.004 | 0.45 | 0.08 |\n| Malaysia | -0.16 | 0.54 | 0.11 | 0.68 |","| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |\n| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |\n| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |\n| sample03 | 0.028 | 0.406 | 0.185 | 0.195 | 0.556 | 0.708 |\n| sample04 | 0.01 | 0.306 | 0.099 | 0.1 | 0.242 | 0.348 |\n| sample05 | 0.029 | 0.28 | 0.08 | 0.088 | 0.209 | 0.271 |\n| sample06 | 0.028 | 0.29 | 0.096 | 0.122 | 0.254 | 0.364 |\n| sample07 | 0.008 | 0.371 | 0.125 | 0.164 | 0.267 | 0.39 |\n| sample08 | 0.022 | 0.378 | 0.141 | 0.161 | 0.323 | 0.468 |\n| sample09 | 0.014 | 0.433 | 0.156 | 0.169 | 0.411 | 0.548 |\n| sample10 | 0.002 | 0.306 | 0.077 | 0.096 | 0.145 | 0.24 |\n| sample11 | 0.015 | 0.336 | 0.107 | 0.101 | 0.241 | 0.341 |\n| sample12 | 0.034 | 0.387 | 0.139 | 0.13 | 0.369 | 0.545 |\n| sample13 | 0.015 | 0.38 | 0.142 | 0.134 | 0.338 | 0.435 |\n| sample14 | 0.017 | 0.381 | 0.215 | 0.163 | 0.564 | 0.69 |\n| sample15 | 0.064 | 0.409 | 0.174 | 0.185 | 0.563 | 0.704 |\n| sample16 | 0.024 | 0.257 | 0.082 | 0.101 | 0.216 | 0.353 |","| sample17 | 0.027 | 0.527 | 0.231 | 0.271 | 0.555 | 0.736 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample18 | 0.022 | 0.423 | 0.157 | 0.198 | 0.327 | 0.442 |\n| sample19 | 0.065 | 0.286 | 0.06 | 0.103 | 0.159 | 0.24 |\n| sample20 | 0.123 | 0.423 | 0.123 | 0.175 | 0.363 | 0.582 |\n| sample21 | 0.16 | 0.374 | 0.118 | 0.151 | 0.36 | 0.61 |\n| sample22 | 0.059 | 0.341 | 0.099 | 0.157 | 0.282 | 0.456 |\n| sample23 | 0.077 | 0.354 | 0.135 | 0.155 | 0.355 | 0.643 |\n| sample24 | 0.048 | 0.411 | 0.177 | 0.189 | 0.409 | 0.589 |\n| sample25 | 0.069 | 0.389 | 0.194 | 0.192 | 0.475 | 0.695 |\n| sample26 | 0.019 | 0.415 | 0.238 | 0.239 | 0.482 | 0.628 |\n| sample27 | 0.097 | 0.418 | 0.243 | 0.244 | 0.558 | 0.746 |\n| Samples | 0.041 | 0.37 | 0.144 | 0.158 | 0.365 | 0.517 |",1]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |\n| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |\n| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |\n| sample03 | 0.028 | 0.406 | 0.185 | 0.195 | 0.556 | 0.708 |\n| sample04 | 0.01 | 0.306 | 0.099 | 0.1 | 0.242 | 0.348 |\n| sample05 | 0.029 | 0.28 | 0.08 | 0.088 | 0.209 | 0.271 |\n| sample06 | 0.028 | 0.29 | 0.096 | 0.122 | 0.254 | 0.364 |\n| sample07 | 0.008 | 0.371 | 0.125 | 0.164 | 0.267 | 0.39 |\n| sample08 | 0.022 | 0.378 | 0.141 | 0.161 | 0.323 | 0.468 |\n| sample09 | 0.014 | 0.433 | 0.156 | 0.169 | 0.411 | 0.548 |\n| sample10 | 0.002 | 0.306 | 0.077 | 0.096 | 0.145 | 0.24 |\n| sample11 | 0.015 | 0.336 | 0.107 | 0.101 | 0.241 | 0.341 |\n| sample12 | 0.034 | 0.387 | 0.139 | 0.13 | 0.369 | 0.545 |\n| sample13 | 0.015 | 0.38 | 0.142 | 0.134 | 0.338 | 0.435 |\n| sample14 | 0.017 | 0.381 | 0.215 | 0.163 | 0.564 | 0.69 |\n| sample15 | 0.064 | 0.409 | 0.174 | 0.185 | 0.563 | 0.704 |\n| sample16 | 0.024 | 0.257 | 0.082 | 0.101 | 0.216 | 0.353 |","| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | -0.01620 | 0.15105 | -0.01912 | -0.02068 | 0.09810 | 0.16031 |\n| sample01 | -0.02883 | 0.10282 | -0.05274 | -0.05878 | -0.00154 | -0.01592 |\n| sample02 | -0.00547 | 0.13573 | -0.03199 | -0.03077 | 0.16424 | 0.20673 |\n| sample03 | -0.01498 | 0.19607 | 0.03642 | 0.02633 | 0.27253 | 0.29317 |\n| sample04 | -0.03208 | 0.08501 | -0.08824 | -0.08548 | -0.07596 | -0.10103 |\n| sample05 | -0.01848 | 0.05986 | -0.11093 | -0.08703 | -0.09415 | -0.15169 |\n| sample06 | -0.02129 | 0.07737 | -0.05542 | -0.04822 | -0.03347 | -0.04137 |\n| sample07 | -0.02886 | 0.12561 | -0.04424 | -0.04983 | -0.06474 | -0.06572 |\n| sample08 | -0.01703 | 0.13734 | -0.04811 | -0.04805 | -0.01329 | 0.01062 |\n| sample09 | -0.02898 | 0.18808 | -0.03441 | -0.04354 | 0.04525 | 0.06153 |\n| sample10 | -0.04026 | 0.08053 | -0.11124 | -0.12110 | -0.22137 | -0.26291 |\n| sample11 | -0.02833 | 0.09366 | -0.09500 | -0.08694 | -0.07029 | -0.10209 |\n| sample12 | -0.00883 | 0.16270 | -0.03029 | -0.03776 | 0.07808 | 0.12318 |\n| sample13 | -0.02912 | 0.16786 | -0.02083 | -0.02337 | 0.04448 | 0.02625 |\n| sample14 | -0.02420 | 0.15050 | 0.01061 | -0.02473 | 0.22266 | 0.22460 |\n| sample15 | 0.01803 | 0.17338 | -0.00786 | 0.00165 | 0.24206 | 0.26677 |\n| sample16 | -0.01952 | 0.05000 | -0.08519 | -0.07502 | -0.08264 | -0.06527 |\n| sample17 | -0.01150 | 0.27638 | 0.03338 | 0.09682 | 0.25085 | 0.28031 |\n| sample18 | -0.02229 | 0.16684 | -0.02129 | 0.00881 | 0.03661 | 0.00775 |\n| sample19 | 0.01972 | 0.07822 | -0.08941 | -0.07300 | -0.10352 | -0.16421 |\n| sample20 | 0.08400 | 0.21136 | -0.01114 | 0.00762 | 0.10156 | 0.16437 |\n| sample21 | 0.11576 | 0.20080 | -0.00166 | 0.00948 | 0.12431 | 0.24193 |\n| sample22 | 0.01808 | 0.13805 | -0.01966 | -0.01490 | 0.02612 | 0.06633 |\n| sample23 | 0.03123 | 0.14159 | -0.01558 | -0.02963 | 0.05672 | 0.20264 |\n| sample24 | 0.00010 | 0.22466 | 0.03073 | 0.01936 | 0.14511 | 0.18615 |\n| sample25 | 0.02951 | 0.19172 | 0.03718 | 0.03137 | 0.21777 | 0.30256 |\n| sample26 | -0.02134 | 0.18658 | 0.07070 | 0.05061 | 0.18509 | 0.19666 |\n| sample27 | 0.05362 | 0.21951 | 0.09223 | 0.05795 | 0.28961 | 0.34264 |\n| Samples | -0.00170 | 0.14905 | -0.02440 | -0.02317 | 0.06572 | 0.08551 |",0]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |\n| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |\n| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |\n| sample03 | 0.028 | 0.406 | 0.185 | 0.195 | 0.556 | 0.708 |\n| sample04 | 0.01 | 0.306 | 0.099 | 0.1 | 0.242 | 0.348 |\n| sample05 | 0.029 | 0.28 | 0.08 | 0.088 | 0.209 | 0.271 |\n| sample06 | 0.028 | 0.29 | 0.096 | 0.122 | 0.254 | 0.364 |\n| sample07 | 0.008 | 0.371 | 0.125 | 0.164 | 0.267 | 0.39 |\n| sample08 | 0.022 | 0.378 | 0.141 | 0.161 | 0.323 | 0.468 |\n| sample09 | 0.014 | 0.433 | 0.156 | 0.169 | 0.411 | 0.548 |\n| sample10 | 0.002 | 0.306 | 0.077 | 0.096 | 0.145 | 0.24 |\n| sample11 | 0.015 | 0.336 | 0.107 | 0.101 | 0.241 | 0.341 |\n| sample12 | 0.034 | 0.387 | 0.139 | 0.13 | 0.369 | 0.545 |","| sample13 | 0.015 | 0.38 | 0.142 | 0.134 | 0.338 | 0.435 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample14 | 0.017 | 0.381 | 0.215 | 0.163 | 0.564 | 0.69 |\n| sample15 | 0.064 | 0.409 | 0.174 | 0.185 | 0.563 | 0.704 |\n| sample16 | 0.024 | 0.257 | 0.082 | 0.101 | 0.216 | 0.353 |\n| sample17 | 0.027 | 0.527 | 0.231 | 0.271 | 0.555 | 0.736 |\n| sample18 | 0.022 | 0.423 | 0.157 | 0.198 | 0.327 | 0.442 |\n| sample19 | 0.065 | 0.286 | 0.06 | 0.103 | 0.159 | 0.24 |\n| sample20 | 0.123 | 0.423 | 0.123 | 0.175 | 0.363 | 0.582 |\n| sample21 | 0.16 | 0.374 | 0.118 | 0.151 | 0.36 | 0.61 |\n| sample22 | 0.059 | 0.341 | 0.099 | 0.157 | 0.282 | 0.456 |\n| sample23 | 0.077 | 0.354 | 0.135 | 0.155 | 0.355 | 0.643 |\n| sample24 | 0.048 | 0.411 | 0.177 | 0.189 | 0.409 | 0.589 |\n| sample25 | 0.069 | 0.389 | 0.194 | 0.192 | 0.475 | 0.695 |\n| sample26 | 0.019 | 0.415 | 0.238 | 0.239 | 0.482 | 0.628 |\n| sample27 | 0.097 | 0.418 | 0.243 | 0.244 | 0.558 | 0.746 |\n| Samples | 0.041 | 0.37 | 0.144 | 0.158 | 0.365 | 0.517 |",1]
["| Observations | ITTI | GBVS | PFT | PQFT | ENT-CON | ENT-KLD |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample00 | 0.026 | 0.39 | 0.145 | 0.146 | 0.398 | 0.596 |\n| sample01 | 0.018 | 0.339 | 0.131 | 0.136 | 0.318 | 0.444 |\n| sample02 | 0.033 | 0.359 | 0.156 | 0.156 | 0.489 | 0.671 |\n| sample03 | 0.028 | 0.406 | 0.185 | 0.195 | 0.556 | 0.708 |\n| sample04 | 0.01 | 0.306 | 0.099 | 0.1 | 0.242 | 0.348 |\n| sample05 | 0.029 | 0.28 | 0.08 | 0.088 | 0.209 | 0.271 |\n| sample06 | 0.028 | 0.29 | 0.096 | 0.122 | 0.254 | 0.364 |\n| sample07 | 0.008 | 0.371 | 0.125 | 0.164 | 0.267 | 0.39 |\n| sample08 | 0.022 | 0.378 | 0.141 | 0.161 | 0.323 | 0.468 |\n| sample09 | 0.014 | 0.433 | 0.156 | 0.169 | 0.411 | 0.548 |\n| sample10 | 0.002 | 0.306 | 0.077 | 0.096 | 0.145 | 0.24 |\n| sample11 | 0.015 | 0.336 | 0.107 | 0.101 | 0.241 | 0.341 |\n| sample12 | 0.034 | 0.387 | 0.139 | 0.13 | 0.369 | 0.545 |","| sample07 | -0.02886 | 0.12561 | -0.04424 | -0.04983 | -0.06474 | -0.06572 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sample08 | -0.01703 | 0.13734 | -0.04811 | -0.04805 | -0.01329 | 0.01062 |\n| sample09 | -0.02898 | 0.18808 | -0.03441 | -0.04354 | 0.04525 | 0.06153 |\n| sample10 | -0.04026 | 0.08053 | -0.11124 | -0.12110 | -0.22137 | -0.26291 |\n| sample11 | -0.02833 | 0.09366 | -0.09500 | -0.08694 | -0.07029 | -0.10209 |\n| sample12 | -0.00883 | 0.16270 | -0.03029 | -0.03776 | 0.07808 | 0.12318 |\n| sample13 | -0.02912 | 0.16786 | -0.02083 | -0.02337 | 0.04448 | 0.02625 |\n| sample14 | -0.02420 | 0.15050 | 0.01061 | -0.02473 | 0.22266 | 0.22460 |\n| sample15 | 0.01803 | 0.17338 | -0.00786 | 0.00165 | 0.24206 | 0.26677 |\n| sample16 | -0.01952 | 0.05000 | -0.08519 | -0.07502 | -0.08264 | -0.06527 |\n| sample17 | -0.01150 | 0.27638 | 0.03338 | 0.09682 | 0.25085 | 0.28031 |\n| sample18 | -0.02229 | 0.16684 | -0.02129 | 0.00881 | 0.03661 | 0.00775 |\n| sample19 | 0.01972 | 0.07822 | -0.08941 | -0.07300 | -0.10352 | -0.16421 |\n| sample20 | 0.08400 | 0.21136 | -0.01114 | 0.00762 | 0.10156 | 0.16437 |\n| sample21 | 0.11576 | 0.20080 | -0.00166 | 0.00948 | 0.12431 | 0.24193 |\n| sample22 | 0.01808 | 0.13805 | -0.01966 | -0.01490 | 0.02612 | 0.06633 |\n| sample23 | 0.03123 | 0.14159 | -0.01558 | -0.02963 | 0.05672 | 0.20264 |\n| sample24 | 0.00010 | 0.22466 | 0.03073 | 0.01936 | 0.14511 | 0.18615 |\n| sample25 | 0.02951 | 0.19172 | 0.03718 | 0.03137 | 0.21777 | 0.30256 |\n| sample26 | -0.02134 | 0.18658 | 0.07070 | 0.05061 | 0.18509 | 0.19666 |\n| sample27 | 0.05362 | 0.21951 | 0.09223 | 0.05795 | 0.28961 | 0.34264 |\n| Samples | -0.00170 | 0.14905 | -0.02440 | -0.02317 | 0.06572 | 0.08551 |",0]
["| Numberofauthors | 343055 |\n| --- | --- |\n| Numberofpapers | 399713 |\n| Averagenumberofpapersbyanauthor | 9.07 |\n| Averagenumberofauthorsperpaper | 7.59 |\n| AveragenumberofPACScodesperauthor | 10.04 |","| AveragenumberofPACScodesperpaper | 2.92 |\n| --- | --- |\n| Averagediversityofauthor | 13.16 |\n| Averagediversityofpaper | 3.59 |\n| Averagecitationperpaper | 10.22 |",1]
["| Numberofauthors | 343055 |\n| --- | --- |\n| Numberofpapers | 399713 |\n| Averagenumberofpapersbyanauthor | 9.07 |\n| Averagenumberofauthorsperpaper | 7.59 |\n| AveragenumberofPACScodesperauthor | 10.04 |","|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Numberofauthors | 343055 |\n| --- | --- |\n| Numberofpapers | 399713 |\n| Averagenumberofpapersbyanauthor | 9.07 |\n| Averagenumberofauthorsperpaper | 7.59 |","| AveragenumberofPACScodesperauthor | 10.04 |\n| --- | --- |\n| AveragenumberofPACScodesperpaper | 2.92 |\n| Averagediversityofauthor | 13.16 |\n| Averagediversityofpaper | 3.59 |\n| Averagecitationperpaper | 10.22 |",1]
["| Numberofauthors | 343055 |\n| --- | --- |\n| Numberofpapers | 399713 |\n| Averagenumberofpapersbyanauthor | 9.07 |\n| Averagenumberofauthorsperpaper | 7.59 |","| Averagenumberofuniquetokenspertweet | 0.864 |\n| --- | --- |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| RNN<br>R@10R@50 |\n| --- |\n| 0.0310.061 |\n| 0.0950.156 |\n| 0.0500.089 |","| 0.0410.060 |\n| --- |\n| 0.0830.144 |",1]
["| RNN<br>R@10R@50 |\n| --- |\n| 0.0310.061 |\n| 0.0950.156 |\n| 0.0500.089 |","| System | Approach | Rank | Acc | L2 |\n| --- | --- | --- | --- | --- |\n| Baseline* | Rule | 6 | 0.575 | 0.691 |\n|  | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |\n|  | RealCMBP | 1.5 | 0.634 | 0.579 |\n| RPN | RPN | 0.5 | 0.650 | 0.549 |",0]
["| RNN<br>R@10R@50 |\n| --- |\n| 0.0310.061 |\n| 0.0950.156 |\n| 0.0500.089 |","| 0.0410.060 |\n| --- |\n| 0.0830.144 |",1]
["| RNN<br>R@10R@50 |\n| --- |\n| 0.0310.061 |\n| 0.0950.156 |\n| 0.0500.089 |","|  | RNN<br>Rule<br>IntCMBP | 1<br>2<br>3 | 0.646<br>0.630<br>0.610 | 0.538<br>0.627<br>0.556 |\n| --- | --- | --- | --- | --- |\n|  | RealCMBP | 1.5 | 0.634 | 0.579 |\n| RPN | RPN | 0.5 | 0.650 | 0.549 |",0]
["| IGTsite | WorkerCPU | CPUSpeed | OS |\n| --- | --- | --- | --- |\n| Caltech | 40 | 0.8GHz | RedHat6.X |\n| Caltech | 40 | 2.4GHz | RedHat7.X |\n| Fermilab | 80 | 0.75GHz | RedHat6.X |\n| UniversityofFlorida | 80 | 1GHz | RedHat6.X |\n| UCSanDiego | 40 | 0.8GHz | RedHat6.X |\n| UCSanDiego | 40 | 2.4GHz | RedHat7.X |","| CERN | 72 | 2.4GHz | RedHat7.X |\n| --- | --- | --- | --- |\n| UWMadison | 0 | N/A | ProvidedimportantSWsupport |",1]
["| IGTsite | WorkerCPU | CPUSpeed | OS |\n| --- | --- | --- | --- |\n| Caltech | 40 | 0.8GHz | RedHat6.X |\n| Caltech | 40 | 2.4GHz | RedHat7.X |\n| Fermilab | 80 | 0.75GHz | RedHat6.X |\n| UniversityofFlorida | 80 | 1GHz | RedHat6.X |\n| UCSanDiego | 40 | 0.8GHz | RedHat6.X |\n| UCSanDiego | 40 | 2.4GHz | RedHat7.X |","| Work | Network | Clock | Speedup | Baseline |\n| --- | --- | --- | --- | --- |\n| Ly&Chow | 256×256 | 100MHz | 32× | 2.8GHzP4 |\n| Kimet.al | 256×256 | 200MHz | 25× | 2.4GHzCore2 |\n| DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |\n| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |\n| DLAU | 256×256 | 200MHz | 36.1× | 2.3GHzCore2 |",0]
["| IGTsite | WorkerCPU | CPUSpeed | OS |\n| --- | --- | --- | --- |\n| Caltech | 40 | 0.8GHz | RedHat6.X |\n| Caltech | 40 | 2.4GHz | RedHat7.X |\n| Fermilab | 80 | 0.75GHz | RedHat6.X |","| UniversityofFlorida | 80 | 1GHz | RedHat6.X |\n| --- | --- | --- | --- |\n| UCSanDiego | 40 | 0.8GHz | RedHat6.X |\n| UCSanDiego | 40 | 2.4GHz | RedHat7.X |\n| CERN | 72 | 2.4GHz | RedHat7.X |\n| UWMadison | 0 | N/A | ProvidedimportantSWsupport |",1]
["| IGTsite | WorkerCPU | CPUSpeed | OS |\n| --- | --- | --- | --- |\n| Caltech | 40 | 0.8GHz | RedHat6.X |\n| Caltech | 40 | 2.4GHz | RedHat7.X |\n| Fermilab | 80 | 0.75GHz | RedHat6.X |","| DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |\n| --- | --- | --- | --- | --- |\n| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |\n| DLAU | 256×256 | 200MHz | 36.1× | 2.3GHzCore2 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |","| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| --- |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |","| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |","| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| --- |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |","| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| --- |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |\n| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |\n| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 |","| NESP | 360.1 | 0.642 | 345.2 | 0.6484 |\n| --- | --- | --- | --- | --- |\n| PLT | 392.1 | 0.6237 | 375.3 | 0.6311 |\n| MAPS | 421.8 | 0.6274 | 406 | 0.6329 |\n| PIONEER | 479.8 | 0.537 | 426.8 | 0.5571 |",1]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |\n| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |\n| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 |","| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 509.1 | 0.5782 | 377.9 | 0.6399 |\n| MAPS | 1128.0 | 0.3293 | 1068.8 | 0.339 |\n| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",0]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |\n| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |\n| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 |\n| NESP | 360.1 | 0.642 | 345.2 | 0.6484 |","| PLT | 392.1 | 0.6237 | 375.3 | 0.6311 |\n| --- | --- | --- | --- | --- |\n| MAPS | 421.8 | 0.6274 | 406 | 0.6329 |\n| PIONEER | 479.8 | 0.537 | 426.8 | 0.5571 |",1]
["| Algorithm | T.E.D. | C.R.W. | T.E.D.(upper) | C.R.W.(upper) |\n| --- | --- | --- | --- | --- |\n| Megvii-Image++ | 115.9 | 0.8283 | 94.1 | 0.8603 |\n| PhotoOCR | 122.7 | 0.8283 | 109.9 | 0.853 |\n| PicRead | 332.4 | 0.5799 | 290.8 | 0.6192 |\n| NESP | 360.1 | 0.642 | 345.2 | 0.6484 |","| NESP | 1164.6 | 0.3168 | 1094.9 | 0.3298 |\n| --- | --- | --- | --- | --- |\n| DSM | 1178.8 | 0.2585 | 1109.1 | 0.2797 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| No. | String | Probabilityofoccurrence |\n| --- | --- | --- |\n| 0 | 000 | 0.133567088 |\n| 1 | 001 | 0.122682815 |\n| 2 | 010 | 0.130448785 |","| 3 | 011 | 0.119522821 |\n| --- | --- | --- |\n| 4 | 100 | 0.122658224 |\n| 5 | 101 | 0.127181921 |\n| 6 | 110 | 0.119505945 |\n| 7 | 111 | 0.1244324 |",1]
["| No. | String | Probabilityofoccurrence |\n| --- | --- | --- |\n| 0 | 000 | 0.133567088 |\n| 1 | 001 | 0.122682815 |\n| 2 | 010 | 0.130448785 |","| Object | Probabilityofco-occurrence |\n| --- | --- |\n| Man | 0.240 |\n| Road | 0.151 |\n| Sign | 0.074 |\n| Sidewalk | 0.051 |\n| Traﬃc | 0.076 |",0]
["| No. | String | Probabilityofoccurrence |\n| --- | --- | --- |\n| 0 | 000 | 0.133567088 |\n| 1 | 001 | 0.122682815 |\n| 2 | 010 | 0.130448785 |","| 3 | 011 | 0.119522821 |\n| --- | --- | --- |\n| 4 | 100 | 0.122658224 |\n| 5 | 101 | 0.127181921 |\n| 6 | 110 | 0.119505945 |\n| 7 | 111 | 0.1244324 |",1]
["| No. | String | Probabilityofoccurrence |\n| --- | --- | --- |\n| 0 | 000 | 0.133567088 |\n| 1 | 001 | 0.122682815 |\n| 2 | 010 | 0.130448785 |","| Sign | 0.074 |\n| --- | --- |\n| Sidewalk | 0.051 |\n| Traﬃc | 0.076 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 |","| AccurateTumorSegmentation(PHP+CNN) | 0.9267 | 0.922 | 0.9243 |\n| --- | --- | --- | --- |\n| HyMap | 0.6851 | 0.8600 | 0.7626 |\n| ConvNetCNN3 | 0.856 | 0.867 | 0.8615 |\n| MCTA | 0.8701 | 0.8834 | 0.8767 |\n| TVIA | 0.8224 | 0.8641 | 0.8427 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 |","| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |\n| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",0]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.9267 | 0.922 | 0.9243 |","| HyMap | 0.6851 | 0.8600 | 0.7626 |\n| --- | --- | --- | --- |\n| ConvNetCNN3 | 0.856 | 0.867 | 0.8615 |\n| MCTA | 0.8701 | 0.8834 | 0.8767 |\n| TVIA | 0.8224 | 0.8641 | 0.8427 |",1]
["| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.9272 | 0.8513 | 0.8999 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.9267 | 0.922 | 0.9243 |","| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| --- | --- | --- | --- |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",0]
["| SceneClass | MeanNo.ofCategories | Selectedk |\n| --- | --- | --- |\n| Coast | 3.8 | 12 |\n| Forest | 2.5 | 36 |\n| Highway | 6.5 | 6 |\n| InsideCity | 7.2 | 12 |\n| Mountain | 2.6 | 22 |\n| Open<br>Country | 3.9 | 14 |","| Street | 7.5 | 6 |\n| --- | --- | --- |\n| TallBuilding | 3.3 | 43 |",1]
["| SceneClass | MeanNo.ofCategories | Selectedk |\n| --- | --- | --- |\n| Coast | 3.8 | 12 |\n| Forest | 2.5 | 36 |\n| Highway | 6.5 | 6 |\n| InsideCity | 7.2 | 12 |\n| Mountain | 2.6 | 22 |\n| Open<br>Country | 3.9 | 14 |","| Class | Chaos | Chaos(our) | D1 | D2 | D3 | DT1 | DT2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| beach | 27 | 17 | 77 | 80 | 77 | 83 | 77 |\n| c.street | 17 | 70 | 3 | 87 | 90 | 100 | 93 |\n| elevator | 40 | 17 | 7 | 37 | 10 | 23 | 17 |\n| f.fire | 50 | 10 | 40 | 50 | 57 | 40 | 50 |\n| fountain | 7 | 10 | 0 | 27 | 17 | 47 | 0 |\n| highway | 17 | 17 | 77 | 47 | 53 | 33 | 60 |\n| l.storm | 37 | 97 | 97 | 97 | 93 | 97 | 100 |\n| ocean | 43 | 30 | 60 | 70 | 80 | 87 | 77 |\n| railway | 3 | 17 | 60 | 57 | 23 | 40 | 60 |\n| r.river | 3 | 87 | 60 | 90 | 83 | 87 | 77 |\n| sky | 33 | 23 | 30 | 47 | 43 | 50 | 57 |\n| snowing | 10 | 77 | 73 | 80 | 90 | 90 | 93 |\n| waterfall | 10 | 17 | 50 | 37 | 30 | 37 | 37 |\n| w.farm | 17 | 03 | 30 | 13 | 20 | 10 | 33 |",0]
["| SceneClass | MeanNo.ofCategories | Selectedk |\n| --- | --- | --- |\n| Coast | 3.8 | 12 |\n| Forest | 2.5 | 36 |\n| Highway | 6.5 | 6 |\n| InsideCity | 7.2 | 12 |","| Mountain | 2.6 | 22 |\n| --- | --- | --- |\n| Open<br>Country | 3.9 | 14 |\n| Street | 7.5 | 6 |\n| TallBuilding | 3.3 | 43 |",1]
["| SceneClass | MeanNo.ofCategories | Selectedk |\n| --- | --- | --- |\n| Coast | 3.8 | 12 |\n| Forest | 2.5 | 36 |\n| Highway | 6.5 | 6 |\n| InsideCity | 7.2 | 12 |","| railway | 3 | 17 | 60 | 57 | 23 | 40 | 60 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| r.river | 3 | 87 | 60 | 90 | 83 | 87 | 77 |\n| sky | 33 | 23 | 30 | 47 | 43 | 50 | 57 |\n| snowing | 10 | 77 | 73 | 80 | 90 | 90 | 93 |\n| waterfall | 10 | 17 | 50 | 37 | 30 | 37 | 37 |\n| w.farm | 17 | 03 | 30 | 13 | 20 | 10 | 33 |",0]
["| Method | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| HOG-LDA | 73.7 | 41.8 | 39.2 | 23.2 | 10.3 | 42.2 | 38.4 |","| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| PoseMachines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",1]
["| Method | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| HOG-LDA | 73.7 | 41.8 | 39.2 | 23.2 | 10.3 | 42.2 | 38.4 |","| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |\n| Shuﬄe&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 |\n| Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 |\n| Alexnet | 92.8 | 68.1 | 53.0 | 39.8 | 17.5 | 62.8 | 55.7 |",0]
["| Method | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |","| HOG-LDA | 73.7 | 41.8 | 39.2 | 23.2 | 10.3 | 42.2 | 38.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| PoseMachines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",1]
["| Method | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |","| Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Alexnet | 92.8 | 68.1 | 53.0 | 39.8 | 17.5 | 62.8 | 55.7 |",0]
["| Concept | S | O | Concept | S | O |\n| --- | --- | --- | --- | --- | --- |\n| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |\n| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 |\n| truck | 0.65 | 0.67 | coﬀee | 0.65 | 0.61 |\n| watch | 0.67 | 0.67 | bread | 0.63 | 0.61 |","| handbag | 0.67 | 0.65 | juice | 0.62 | 0.61 |\n| --- | --- | --- | --- | --- | --- |\n| meme | 0.63 | 0.63 | tv | 0.63 | 0.61 |",1]
["| Concept | S | O | Concept | S | O |\n| --- | --- | --- | --- | --- | --- |\n| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |\n| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 |\n| truck | 0.65 | 0.67 | coﬀee | 0.65 | 0.61 |\n| watch | 0.67 | 0.67 | bread | 0.63 | 0.61 |","| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |\n| --- | --- | --- | --- |\n| Sports | 64 | 0.972 | 1.93×10 |\n| Animals | 108 | 0.982 | 3.14×10 |\n| Clothes | 88 | 0.882 | 1.71×10 |\n| Food | 107 | 0.979 | 2.56×10 |\n| Furniture | 38 | 0.942 | 5.52×10 |\n| Music | 16 | 0.983 | 1.30×10 |\n| Plants | 33 | 0.954 | 2.36×10 |\n| Structures | 17 | 0.973 | 8.33×10 |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",0]
["| Concept | S | O | Concept | S | O |\n| --- | --- | --- | --- | --- | --- |\n| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |\n| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 |","| truck | 0.65 | 0.67 | coﬀee | 0.65 | 0.61 |\n| --- | --- | --- | --- | --- | --- |\n| watch | 0.67 | 0.67 | bread | 0.63 | 0.61 |\n| handbag | 0.67 | 0.65 | juice | 0.62 | 0.61 |\n| meme | 0.63 | 0.63 | tv | 0.63 | 0.61 |",1]
["| Concept | S | O | Concept | S | O |\n| --- | --- | --- | --- | --- | --- |\n| pumpkin | 0.76 | 0.71 | panties | 0.59 | 0.62 |\n| cosmetics | 0.71 | 0.70 | crying | 0.59 | 0.61 |","| Clothes | 88 | 0.882 | 1.71×10 |\n| --- | --- | --- | --- |\n| Food | 107 | 0.979 | 2.56×10 |\n| Furniture | 38 | 0.942 | 5.52×10 |\n| Music | 16 | 0.983 | 1.30×10 |\n| Plants | 33 | 0.954 | 2.36×10 |\n| Structures | 17 | 0.973 | 8.33×10 |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",0]
["| #ofPieces | RunTime |\n| --- | --- |\n| Single-Threaded |  |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |","| 805 | 116.18[sec] |\n| --- | --- |\n| 2,360 | 17.60[min] |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |\n| 10,375 | 3.21[hr] |\n| 22,755 | 13.19[hr] |\n| Multi-Threaded |  |\n| 22,755 | 3.43[hr] |\n| 30,745 | 6.51[hr] |",1]
["| #ofPieces | RunTime |\n| --- | --- |\n| Single-Threaded |  |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |","| #ofPieces | RunTime |\n| --- | --- |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |\n| 805 | 116.18[sec] |\n| 2,360 | 17.60[min] |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |\n| 10,375 | 3.21[hr] |\n| 22,834 | 13.19[hr] |",0]
["| #ofPieces | RunTime |\n| --- | --- |\n| Single-Threaded |  |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |\n| 805 | 116.18[sec] |","| 2,360 | 17.60[min] |\n| --- | --- |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |\n| 10,375 | 3.21[hr] |\n| 22,755 | 13.19[hr] |\n| Multi-Threaded |  |\n| 22,755 | 3.43[hr] |\n| 30,745 | 6.51[hr] |",1]
["| #ofPieces | RunTime |\n| --- | --- |\n| Single-Threaded |  |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |\n| 805 | 116.18[sec] |","| 2,360 | 17.60[min] |\n| --- | --- |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |\n| 10,375 | 3.21[hr] |\n| 22,834 | 13.19[hr] |",0]
["| Time(s) | Exp2 | Branin | Hart. | Michal. | Walker | MCar | LogR | OnLDA | HPNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #dims | 2 | 2 | 6 | 10 | 8 | 7 | 4 | 3 | 14 |\n| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |","| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |\n| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 |",1]
["| Time(s) | Exp2 | Branin | Hart. | Michal. | Walker | MCar | LogR | OnLDA | HPNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #dims | 2 | 2 | 6 | 10 | 8 | 7 | 4 | 3 | 14 |\n| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |","| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| Time(s) | Exp2 | Branin | Hart. | Michal. | Walker | MCar | LogR | OnLDA | HPNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #dims | 2 | 2 | 6 | 10 | 8 | 7 | 4 | 3 | 14 |\n| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |\n| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |","| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 |",1]
["| Time(s) | Exp2 | Branin | Hart. | Michal. | Walker | MCar | LogR | OnLDA | HPNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #dims | 2 | 2 | 6 | 10 | 8 | 7 | 4 | 3 | 14 |\n| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |\n| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |","| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["|  | Bench. | Sim. | Ratio |\n| --- | --- | --- | --- |\n| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 |","| Clusteringoverhead | 12799.60 | 354.50 | 36.1060 |\n| --- | --- | --- | --- |\n| Post-clusteringusage | 330.60 | 350.50 | 0.9432 |\n| Gain | 5.71 | 5.36 | 1.0652 |",1]
["|  | Bench. | Sim. | Ratio |\n| --- | --- | --- | --- |\n| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 |","| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |\n| 3 | 31.8 | 36.2 |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["|  | Bench. | Sim. | Ratio |\n| --- | --- | --- | --- |\n| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 |\n| Clusteringoverhead | 12799.60 | 354.50 | 36.1060 |","| Post-clusteringusage | 330.60 | 350.50 | 0.9432 |\n| --- | --- | --- | --- |\n| Gain | 5.71 | 5.36 | 1.0652 |",1]
["|  | Bench. | Sim. | Ratio |\n| --- | --- | --- | --- |\n| Pre-clusteringusage | 1890.70 | 1878.80 | 1.0063 |\n| Clusteringoverhead | 12799.60 | 354.50 | 36.1060 |","| 2 | 31.4 | 35.5 |\n| --- | --- | --- |\n| 3 | 31.8 | 36.2 |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",0]
["| Unsupervised | Semi-supervised |  |\n| --- | --- | --- |\n| Recall | 27.23 | 29.49 |","| Precision | 15.02 | 24.64 |\n| --- | --- | --- |\n| F-score | 19.36 | 26.85 |\n| #correcttypes | 1,692 | 1,842 |\n| #generatedtypes | 11,266 | 7,473 |",1]
["| Unsupervised | Semi-supervised |  |\n| --- | --- | --- |\n| Recall | 27.23 | 29.49 |","| Model | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| GraphCRF | 65.20 | 66.50 | 65.84 |\n| SupervisedPCRW | 76.30 | 79.47 | 77.85 |\n| segSeq2Seq | 73.44 | 73.04 | 73.24 |\n| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 |",0]
["| Unsupervised | Semi-supervised |  |\n| --- | --- | --- |\n| Recall | 27.23 | 29.49 |\n| Precision | 15.02 | 24.64 |","| F-score | 19.36 | 26.85 |\n| --- | --- | --- |\n| #correcttypes | 1,692 | 1,842 |\n| #generatedtypes | 11,266 | 7,473 |",1]
["| Unsupervised | Semi-supervised |  |\n| --- | --- | --- |\n| Recall | 27.23 | 29.49 |\n| Precision | 15.02 | 24.64 |","| segSeq2Seq | 73.44 | 73.04 | 73.24 |\n| --- | --- | --- | --- |\n| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 |",0]
["| Train | Test | Lighting |  |  |  | Ours |\n| --- | --- | --- | --- | --- | --- | --- |\n| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |\n| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |\n| D | D | Diﬀ | 80.55 | 94.98 | 95.76 | 94.17 |\n| M | M | Diﬀ | 71.90 | 90.17 | 92.01 | 93.62 |","| D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |\n| --- | --- | --- | --- | --- | --- | --- |\n| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 |",1]
["| Train | Test | Lighting |  |  |  | Ours |\n| --- | --- | --- | --- | --- | --- | --- |\n| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |\n| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |\n| D | D | Diﬀ | 80.55 | 94.98 | 95.76 | 94.17 |\n| M | M | Diﬀ | 71.90 | 90.17 | 92.01 | 93.62 |","| Train | Test | Train |\n| --- | --- | --- |\n| 93.5 | 90.8 | 88.5 |\n| 96.0 | 94.6 | 91.8 |\n| 97.3 | 96.3 | 93.7 |\n| 99.5 | 99.3 | 98.4 |",0]
["| Train | Test | Lighting |  |  |  | Ours |\n| --- | --- | --- | --- | --- | --- | --- |\n| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |\n| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |","| D | D | Diﬀ | 80.55 | 94.98 | 95.76 | 94.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n| M | M | Diﬀ | 71.90 | 90.17 | 92.01 | 93.62 |\n| D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |\n| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 |",1]
["| Train | Test | Lighting |  |  |  | Ours |\n| --- | --- | --- | --- | --- | --- | --- |\n| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |\n| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |","| 97.3 | 96.3 | 93.7 |\n| --- | --- | --- |\n| 99.5 | 99.3 | 98.4 |",0]
["| Instance | #V#Csolution |\n| --- | --- |\n| b14optbug2vec1-gt-0 | 130328402707402706 |\n| b15-bug-4vec-gt-0 | 5810641712690– |\n| b15-bug-1vec-gt-0 | 121836359040359039 |\n| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |\n| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |\n| c2DDs3f1e2v1-bug-4vec-gt-0 | 40008511218101121806 |\n| c2DDs3f1e2v1-bug-1vec-gt-0 | 84525236942236941 |\n| c3DDs3f1e1v1-bug-4vec-gt-0 | 335408694486940 |\n| c3DDs3f1e1v1-bug-1vec-gt-0 | 83852173621735 |\n| c4DDs3f1e1v1-bug-gt-0 | 79772820112162011208 |\n| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |\n| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |\n| c5315-bug-gt-0 | 188050495048 |\n| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |\n| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |\n| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |\n| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |\n| c6288-bug-gt-0 | 346292859284 |\n| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |\n| c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |\n| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |\n| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |\n| c7552-bug-gt-0 | 264070087007 |","| motcomb1.red-gt-0 | 215953265325 |\n| --- | --- |\n| motcomb2.red-gt-0 | 54841389413893 |\n| motcomb3.red-gt-0 | 112652952029519 |\n| s15850-bug-4vec-gt-0 | 88544206252206248 |\n| s15850-bug-1vec-gt-0 | 221365156351562 |\n| s38584-bug-1vec-gt-0 | 314272819830819829 |",1]
["| Instance | #V#Csolution |\n| --- | --- |\n| b14optbug2vec1-gt-0 | 130328402707402706 |\n| b15-bug-4vec-gt-0 | 5810641712690– |\n| b15-bug-1vec-gt-0 | 121836359040359039 |\n| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |\n| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |\n| c2DDs3f1e2v1-bug-4vec-gt-0 | 40008511218101121806 |\n| c2DDs3f1e2v1-bug-1vec-gt-0 | 84525236942236941 |\n| c3DDs3f1e1v1-bug-4vec-gt-0 | 335408694486940 |\n| c3DDs3f1e1v1-bug-1vec-gt-0 | 83852173621735 |\n| c4DDs3f1e1v1-bug-gt-0 | 79772820112162011208 |\n| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |\n| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |\n| c5315-bug-gt-0 | 188050495048 |\n| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |\n| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |\n| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |\n| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |\n| c6288-bug-gt-0 | 346292859284 |\n| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |\n| c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |\n| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |\n| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |\n| c7552-bug-gt-0 | 264070087007 |","| Instances | LBD | SIZE | CVSIDS | DegComp |\n| --- | --- | --- | --- | --- |\n| jgiraldezlevy.2200.9086.08.40.8 | - | - | - | 93.71s |\n| mantheyDimacsSorterHalf373 | - | - | - | 2642.88s |\n| 14packages-2008seed.040 | - | - | - | 1713.46s |\n| mantheyDimacsSorter373 | - | - | - | 2673.39s |\n| jgiraldezlevy.2200.9086.08.40.2 | - | - | - | 3195.03s |",0]
["| Instance | #V#Csolution |\n| --- | --- |\n| b14optbug2vec1-gt-0 | 130328402707402706 |\n| b15-bug-4vec-gt-0 | 5810641712690– |\n| b15-bug-1vec-gt-0 | 121836359040359039 |\n| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |\n| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |\n| c2DDs3f1e2v1-bug-4vec-gt-0 | 40008511218101121806 |\n| c2DDs3f1e2v1-bug-1vec-gt-0 | 84525236942236941 |\n| c3DDs3f1e1v1-bug-4vec-gt-0 | 335408694486940 |\n| c3DDs3f1e1v1-bug-1vec-gt-0 | 83852173621735 |\n| c4DDs3f1e1v1-bug-gt-0 | 79772820112162011208 |\n| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |\n| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |\n| c5315-bug-gt-0 | 188050495048 |\n| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |\n| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |\n| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |\n| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |\n| c6288-bug-gt-0 | 346292859284 |\n| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |","| c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |\n| --- | --- |\n| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |\n| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |\n| c7552-bug-gt-0 | 264070087007 |\n| motcomb1.red-gt-0 | 215953265325 |\n| motcomb2.red-gt-0 | 54841389413893 |\n| motcomb3.red-gt-0 | 112652952029519 |\n| s15850-bug-4vec-gt-0 | 88544206252206248 |\n| s15850-bug-1vec-gt-0 | 221365156351562 |\n| s38584-bug-1vec-gt-0 | 314272819830819829 |",1]
["| Instance | #V#Csolution |\n| --- | --- |\n| b14optbug2vec1-gt-0 | 130328402707402706 |\n| b15-bug-4vec-gt-0 | 5810641712690– |\n| b15-bug-1vec-gt-0 | 121836359040359039 |\n| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |\n| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |\n| c2DDs3f1e2v1-bug-4vec-gt-0 | 40008511218101121806 |\n| c2DDs3f1e2v1-bug-1vec-gt-0 | 84525236942236941 |\n| c3DDs3f1e1v1-bug-4vec-gt-0 | 335408694486940 |\n| c3DDs3f1e1v1-bug-1vec-gt-0 | 83852173621735 |\n| c4DDs3f1e1v1-bug-gt-0 | 79772820112162011208 |\n| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |\n| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |\n| c5315-bug-gt-0 | 188050495048 |\n| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |\n| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |\n| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |\n| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |\n| c6288-bug-gt-0 | 346292859284 |\n| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |","| mantheyDimacsSorterHalf373 | - | - | - | 2642.88s |\n| --- | --- | --- | --- | --- |\n| 14packages-2008seed.040 | - | - | - | 1713.46s |\n| mantheyDimacsSorter373 | - | - | - | 2673.39s |\n| jgiraldezlevy.2200.9086.08.40.2 | - | - | - | 3195.03s |",0]
["| Layer | No.ofneurons | Activationfunction |\n| --- | --- | --- |\n| Inputlayer | 784 | - |\n| Hiddenlayer1 | 500 | ReLu |","| Hiddenlayer2 | 500 | ReLu |\n| --- | --- | --- |\n| Hiddenlayer3 | 500 | ReLu |\n| Hiddenlayer4 | n | targetfunction |\n| Outputlayer | 10 | Softmax |",1]
["| Layer | No.ofneurons | Activationfunction |\n| --- | --- | --- |\n| Inputlayer | 784 | - |\n| Hiddenlayer1 | 500 | ReLu |","| Layer | Type | kernel | Activation |\n| --- | --- | --- | --- |\n| Input | Input(48×48) | – | – |\n| Hidden1 | Conv | 3×3(64ch) | ReLU |\n| Pool1 | Maxpooling | 2×2 | – |\n| Hidden2 | Conv | 3×3(64ch) | ReLU |\n| Pool2 | Maxpooling | 2×2 | – |\n| Hidden3 | Dense | 1024 | ReLU |\n| Output | Dense | 98 | Tanh |",0]
["| Layer | No.ofneurons | Activationfunction |\n| --- | --- | --- |\n| Inputlayer | 784 | - |\n| Hiddenlayer1 | 500 | ReLu |","| Hiddenlayer2 | 500 | ReLu |\n| --- | --- | --- |\n| Hiddenlayer3 | 500 | ReLu |\n| Hiddenlayer4 | n | targetfunction |\n| Outputlayer | 10 | Softmax |",1]
["| Layer | No.ofneurons | Activationfunction |\n| --- | --- | --- |\n| Inputlayer | 784 | - |\n| Hiddenlayer1 | 500 | ReLu |","| Pool2 | Maxpooling | 2×2 | – |\n| --- | --- | --- | --- |\n| Hidden3 | Dense | 1024 | ReLU |\n| Output | Dense | 98 | Tanh |",0]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| Who(Starpower) | Avg.proﬁtofactor-directorcollaboration* | 0.143 |\n| Who(Starpower) | Avg.DirectorGross | 0.039 |","| When | WinterRelease | 0.036 |\n| --- | --- | --- |\n| Who(Starpower) | TotalActorProﬁt* | 0.035 |",1]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| Who(Starpower) | Avg.proﬁtofactor-directorcollaboration* | 0.143 |\n| Who(Starpower) | Avg.DirectorGross | 0.039 |","| Name | #Features | #Retainedfeatures |\n| --- | --- | --- |\n| Dailyaverage(AVG) | 23 | 18 |\n| Fixedinterval | 36 | 34 |\n| Generictimeseries(GTS) | 222 | 162 |\n| Intrayeardiﬀerence | 12 | 12 |\n| Intrayearseasonaldiﬀerence | 11 | 11 |\n| Total | 304 | 237 |",0]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| Who(Starpower) | Avg.proﬁtofactor-directorcollaboration* | 0.143 |\n| Who(Starpower) | Avg.DirectorGross | 0.039 |","| When | WinterRelease | 0.036 |\n| --- | --- | --- |\n| Who(Starpower) | TotalActorProﬁt* | 0.035 |",1]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| Who(Starpower) | Avg.proﬁtofactor-directorcollaboration* | 0.143 |\n| Who(Starpower) | Avg.DirectorGross | 0.039 |","| Fixedinterval | 36 | 34 |\n| --- | --- | --- |\n| Generictimeseries(GTS) | 222 | 162 |\n| Intrayeardiﬀerence | 12 | 12 |\n| Intrayearseasonaldiﬀerence | 11 | 11 |\n| Total | 304 | 237 |",0]
["| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |\n| --- | --- | --- | --- | --- | --- |\n| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |\n| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>0.674 | 0.603<br>0.678 |\n| Pheno3(mRMR+rrBLUP)<br>Pheno3(MINT+rrBLUP) | 0.228 | 0.791 | 0.502<br>0.517 | 0.523<br>0.515 | 0.521<br>0.514 |","| DataSet(Flint) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |\n| --- | --- | --- | --- | --- | --- |\n| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.275 | 0.954 | 0.493<br>0.627 | 0.472<br>0.599 | 0.476<br>0.606 |\n| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.255 | 0.643 | 0.340<br>0.480 | 0.407<br>0.500 | 0.411<br>0.498 |\n| Pheno3(mRMR+rrBLUP)<br>Pheno3(MINT+rrBLUP) | 0.047 | 0.355 | 0.199<br>0.320 | 0.250<br>0.350 | 0.288<br>0.361 |",1]
["| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |\n| --- | --- | --- | --- | --- | --- |\n| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |\n| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>0.674 | 0.603<br>0.678 |\n| Pheno3(mRMR+rrBLUP)<br>Pheno3(MINT+rrBLUP) | 0.228 | 0.791 | 0.502<br>0.517 | 0.523<br>0.515 | 0.521<br>0.514 |","| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | FISTA-p<br>FISTA<br>ADAL | 1.83e+001<br>2.49e+001<br>1.35e+001 | 12<br>24<br>181 | 2.34e+001<br>2.51e+001<br>1.00e+000 | 8.4892e+002<br>8.4893e+002<br>8.4892e+002 |\n| ogl-dct-1000-10000-1 | FISTA-p<br>FISTA<br>ADAL | 3.16e+001<br>6.33e+001<br>4.43e+001 | 14<br>44<br>270 | 1.73e+001<br>1.74e+001<br>1.00e+000 | 1.4887e+003<br>1.4887e+003<br>1.4887e+003 |\n| ogl-dct-1000-15000-1 | FISTA-p<br>FISTA<br>ADAL | 4.29e+001<br>9.73e+001<br>5.37e+001 | 14<br>54<br>216 | 1.51e+001<br>1.32e+001<br>1.00e+000 | 2.7506e+003<br>2.7506e+003<br>2.7506e+003 |\n| ogl-dct-1000-20000-1 | FISTA-p<br>FISTA<br>ADAL | 7.53e+001<br>1.81e+002<br>1.57e+002 | 13<br>64<br>390 | 2.06e+001<br>1.61e+001<br>1.00e+000 | 3.3416e+003<br>3.3415e+003<br>3.3415e+003 |\n| ogl-dct-1000-25000-1 | FISTA-p<br>FISTA<br>ADAL | 7.41e+001<br>1.76e+002<br>8.79e+001 | 15<br>89<br>231 | 1.47e+001<br>8.64e+000<br>1.00e+000 | 4.1987e+003<br>4.1987e+003<br>4.1987e+003 |\n| ogl-dct-1000-30000-1 | FISTA-p<br>FISTA<br>ADAL | 8.95e+001<br>2.24e+002<br>1.12e+002 | 14<br>94<br>249 | 1.58e+001<br>8.54e+000<br>1.00e+000 | 4.6111e+003<br>4.6111e+003<br>4.6111e+003 |",0]
["| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |\n| --- | --- | --- | --- | --- | --- |\n| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |\n| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>0.674 | 0.603<br>0.678 |\n| Pheno3(mRMR+rrBLUP)<br>Pheno3(MINT+rrBLUP) | 0.228 | 0.791 | 0.502<br>0.517 | 0.523<br>0.515 | 0.521<br>0.514 |\n| DataSet(Flint) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |\n| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.275 | 0.954 | 0.493<br>0.627 | 0.472<br>0.599 | 0.476<br>0.606 |","| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.255 | 0.643 | 0.340<br>0.480 | 0.407<br>0.500 | 0.411<br>0.498 |\n| --- | --- | --- | --- | --- | --- |\n| Pheno3(mRMR+rrBLUP)<br>Pheno3(MINT+rrBLUP) | 0.047 | 0.355 | 0.199<br>0.320 | 0.250<br>0.350 | 0.288<br>0.361 |",1]
["| DataSet(Dent) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |\n| --- | --- | --- | --- | --- | --- |\n| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.439 | 0.952 | 0.426<br>0.623 | 0.514<br>0.662 | 0.526<br>0.668 |\n| Pheno2(mRMR+rrBLUP)<br>Pheno2(MINT+rrBLUP) | 0.410 | 0.932 | 0.584<br>0.687 | 0.591<br>0.674 | 0.603<br>0.678 |\n| Pheno3(mRMR+rrBLUP)<br>Pheno3(MINT+rrBLUP) | 0.228 | 0.791 | 0.502<br>0.517 | 0.523<br>0.515 | 0.521<br>0.514 |\n| DataSet(Flint) | rrBLUP(allfeatures) | Heritability | n=100 | n=200 | n=300 |\n| Pheno1(mRMR+rrBLUP)<br>Pheno1(MINT+rrBLUP) | 0.275 | 0.954 | 0.493<br>0.627 | 0.472<br>0.599 | 0.476<br>0.606 |","| ogl-dct-1000-20000-1 | FISTA-p<br>FISTA<br>ADAL | 7.53e+001<br>1.81e+002<br>1.57e+002 | 13<br>64<br>390 | 2.06e+001<br>1.61e+001<br>1.00e+000 | 3.3416e+003<br>3.3415e+003<br>3.3415e+003 |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-25000-1 | FISTA-p<br>FISTA<br>ADAL | 7.41e+001<br>1.76e+002<br>8.79e+001 | 15<br>89<br>231 | 1.47e+001<br>8.64e+000<br>1.00e+000 | 4.1987e+003<br>4.1987e+003<br>4.1987e+003 |\n| ogl-dct-1000-30000-1 | FISTA-p<br>FISTA<br>ADAL | 8.95e+001<br>2.24e+002<br>1.12e+002 | 14<br>94<br>249 | 1.58e+001<br>8.54e+000<br>1.00e+000 | 4.6111e+003<br>4.6111e+003<br>4.6111e+003 |",0]
["| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |\n| --- | --- | --- | --- | --- |\n| \\|\\|w\\|\\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |\n| \\|\\|∇L(w)\\|\\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |\n| \\|\\|∇L(w)\\|\\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |\n| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w |","| \\|\\|w\\|\\| | 6.650.16 | 30.76.4 | 20.56.4 | 20.20.316 |\n| --- | --- | --- | --- | --- |\n| \\|\\|∇L(w)\\|\\| | 0.090.0002 | 0.260.005 | 0.300.013 | 0.220.016 |\n| \\|\\|∇L(w)\\|\\| | 73.669 | 1171345 | 68489 | 9319 |",1]
["| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |\n| --- | --- | --- | --- | --- |\n| \\|\\|w\\|\\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |\n| \\|\\|∇L(w)\\|\\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |\n| \\|\\|∇L(w)\\|\\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |\n| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w |","| Mesh<br>size<br>h | sHHO(1) | uHHO(1) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Displacement | Gradient | Displacement | Gradient |  |  |  |  |  |\n| Error | Order | Error | Order | Error | Order | Error | Order |  |\n| 1.15e-1 | 5.98e-2 | - | 3.22e-1 | - | 4.00e-2 | - | 1.23e-1 | - |\n| 5.77e-2 | 1.81e-2 | 1.72 | 8.23e-1 | 1.97 | 1.32e-2 | 1.62 | 1.01e-1 | 0.28 |\n| 3.45e-2 | 6.30e-3 | 2.05 | 3.15e-2 | 1.86 | 3.80e-3 | 2.42 | 6.60e-2 | 0.83 |\n| 2.52e-2 | 3.42e-3 | 1.95 | 1.83e-2 | 1.73 | 2.03e-3 | 2.05 | 5.11e-2 | 0.94 |\n| 1.64e-2 | 1.49e-3 | 1.93 | 7.98e-3 | 1.93 | 9.76e-4 | 1.72 | 3.09e-2 | 1.08 |",0]
["| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |\n| --- | --- | --- | --- | --- |\n| \\|\\|w\\|\\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |\n| \\|\\|∇L(w)\\|\\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |\n| \\|\\|∇L(w)\\|\\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |\n| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w |\n| \\|\\|w\\|\\| | 6.650.16 | 30.76.4 | 20.56.4 | 20.20.316 |","| \\|\\|∇L(w)\\|\\| | 0.090.0002 | 0.260.005 | 0.300.013 | 0.220.016 |\n| --- | --- | --- | --- | --- |\n| \\|\\|∇L(w)\\|\\| | 73.669 | 1171345 | 68489 | 9319 |",1]
["| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |\n| --- | --- | --- | --- | --- |\n| \\|\\|w\\|\\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |\n| \\|\\|∇L(w)\\|\\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |\n| \\|\\|∇L(w)\\|\\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |\n| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w |\n| \\|\\|w\\|\\| | 6.650.16 | 30.76.4 | 20.56.4 | 20.20.316 |","| 3.45e-2 | 6.30e-3 | 2.05 | 3.15e-2 | 1.86 | 3.80e-3 | 2.42 | 6.60e-2 | 0.83 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2.52e-2 | 3.42e-3 | 1.95 | 1.83e-2 | 1.73 | 2.03e-3 | 2.05 | 5.11e-2 | 0.94 |\n| 1.64e-2 | 1.49e-3 | 1.93 | 7.98e-3 | 1.93 | 9.76e-4 | 1.72 | 3.09e-2 | 1.08 |",0]
["|  | Ours | Shuﬄe&Learn | RandomInit. | AlexNet |\n| --- | --- | --- | --- | --- |\n| Head | 83.8 | 75.8 | 79.5 | 87.2 |\n| Neck | 90.9 | 86.3 | 87.1 | 93.2 |\n| LRShoulder | 77.5 | 75.0 | 71.6 | 85.2 |\n| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |","| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |\n| --- | --- | --- | --- | --- |\n| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |\n| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |\n| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |\n| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |\n| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |\n| Total | 72.7 | 69.3 | 65.4 | 78.0 |",1]
["|  | Ours | Shuﬄe&Learn | RandomInit. | AlexNet |\n| --- | --- | --- | --- | --- |\n| Head | 83.8 | 75.8 | 79.5 | 87.2 |\n| Neck | 90.9 | 86.3 | 87.1 | 93.2 |\n| LRShoulder | 77.5 | 75.0 | 71.6 | 85.2 |\n| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |","|  | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |\n| --- | --- | --- | --- | --- | --- |\n| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |\n| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |\n| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |\n| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |\n| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |\n| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |\n| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |\n| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |\n| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |\n| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |\n| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 |",0]
["|  | Ours | Shuﬄe&Learn | RandomInit. | AlexNet |\n| --- | --- | --- | --- | --- |\n| Head | 83.8 | 75.8 | 79.5 | 87.2 |","| Neck | 90.9 | 86.3 | 87.1 | 93.2 |\n| --- | --- | --- | --- | --- |\n| LRShoulder | 77.5 | 75.0 | 71.6 | 85.2 |\n| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |\n| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |\n| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |\n| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |\n| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |\n| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |\n| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |\n| Total | 72.7 | 69.3 | 65.4 | 78.0 |",1]
["|  | Ours | Shuﬄe&Learn | RandomInit. | AlexNet |\n| --- | --- | --- | --- | --- |\n| Head | 83.8 | 75.8 | 79.5 | 87.2 |","| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |\n| --- | --- | --- | --- | --- | --- |\n| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |\n| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |\n| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |\n| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |\n| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |\n| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |\n| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |\n| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |\n| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |","| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |","| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |","| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 |",0]
["| Network | Type | \\|V\\| | \\|E\\| | diameter | radius | δ4−point |\n| --- | --- | --- | --- | --- | --- | --- |\n| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |\n| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |","| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",1]
["| Network | Type | \\|V\\| | \\|E\\| | diameter | radius | δ4−point |\n| --- | --- | --- | --- | --- | --- | --- |\n| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |\n| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |","| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |\n| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 |\n| 2 | -0.30 | 6 | 0.29 | 11 | -2.30 |\n| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |\n| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |\n|  |  | 9 | 0.10 | 14 | 0.50 |",0]
["| Network | Type | \\|V\\| | \\|E\\| | diameter | radius | δ4−point |\n| --- | --- | --- | --- | --- | --- | --- |\n| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |","| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |\n| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) |",1]
["| Network | Type | \\|V\\| | \\|E\\| | diameter | radius | δ4−point |\n| --- | --- | --- | --- | --- | --- | --- |\n| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |","| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |\n|  |  | 9 | 0.10 | 14 | 0.50 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |","| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 54.8<br>53.6<br>55.5<br>57.6<br>60.3 | 75.6<br>76.1<br>76.3<br>78.3<br>82.4 | 85.3<br>84.7<br>85.8<br>87.4<br>89.3 | 89.8<br>88.1<br>90.1<br>91.4<br>92.3 | 92.1<br>91.4<br>92.4<br>92.9<br>93.6 | 93.1<br>92.4<br>93.3<br>93.8<br>94.3 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 56.6<br>55.7<br>57.2<br>59.8<br>61.4 | 78.5<br>77.8<br>79.0<br>82.6<br>84.2 | 86.2<br>85.8<br>87.8<br>89.6<br>90.7 | 90.4<br>90.2<br>91.3<br>92.3<br>92.7 | 92.2<br>92.4<br>92.7<br>93.8<br>94.2 | 93.3<br>93.1<br>93.8<br>94.6<br>94.9 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |","| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |\n| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 |","| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 54.8<br>53.6<br>55.5<br>57.6<br>60.3 | 75.6<br>76.1<br>76.3<br>78.3<br>82.4 | 85.3<br>84.7<br>85.8<br>87.4<br>89.3 | 89.8<br>88.1<br>90.1<br>91.4<br>92.3 | 92.1<br>91.4<br>92.4<br>92.9<br>93.6 | 93.1<br>92.4<br>93.3<br>93.8<br>94.3 |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 56.6<br>55.7<br>57.2<br>59.8<br>61.4 | 78.5<br>77.8<br>79.0<br>82.6<br>84.2 | 86.2<br>85.8<br>87.8<br>89.6<br>90.7 | 90.4<br>90.2<br>91.3<br>92.3<br>92.7 | 92.2<br>92.4<br>92.7<br>93.8<br>94.2 | 93.3<br>93.1<br>93.8<br>94.6<br>94.9 |",1]
["| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 |","| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |\n| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 |",0]
["|  | SPO | OFSY | RM3DE |\n| --- | --- | --- | --- |\n| Median | 8.779 | 11.329 | 7.992 |\n| Average | 8.466 | 12.036 | 10.216 |\n|  | SCGC | EPI1 | EPI2 |\n| Median | 10.206 | 22.891 | 22.942 |\n| Average | 14.299 | 24.324 | 22.651 |\n|  | LF | LFOCC | proposed |","| Median | 16.146 | 18.451 | 13.409 |\n| --- | --- | --- | --- |\n| Average | 16.193 | 17.579 | 12.743 |",1]
["|  | SPO | OFSY | RM3DE |\n| --- | --- | --- | --- |\n| Median | 8.779 | 11.329 | 7.992 |\n| Average | 8.466 | 12.036 | 10.216 |\n|  | SCGC | EPI1 | EPI2 |\n| Median | 10.206 | 22.891 | 22.942 |\n| Average | 14.299 | 24.324 | 22.651 |\n|  | LF | LFOCC | proposed |","|  | Mean | 1quartile | median | 3quartile |\n| --- | --- | --- | --- | --- |\n| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |\n| SYS | 2.625 | 1.355 | 2.412 | 3.087 |\n| PROP | 1.060 | 0.8498 | 1.017 | 1.234 |\n| u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |\n| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |\n| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 |",0]
["|  | SPO | OFSY | RM3DE |\n| --- | --- | --- | --- |\n| Median | 8.779 | 11.329 | 7.992 |\n| Average | 8.466 | 12.036 | 10.216 |\n|  | SCGC | EPI1 | EPI2 |\n| Median | 10.206 | 22.891 | 22.942 |\n| Average | 14.299 | 24.324 | 22.651 |\n|  | LF | LFOCC | proposed |","| Median | 16.146 | 18.451 | 13.409 |\n| --- | --- | --- | --- |\n| Average | 16.193 | 17.579 | 12.743 |",1]
["|  | SPO | OFSY | RM3DE |\n| --- | --- | --- | --- |\n| Median | 8.779 | 11.329 | 7.992 |\n| Average | 8.466 | 12.036 | 10.216 |\n|  | SCGC | EPI1 | EPI2 |\n| Median | 10.206 | 22.891 | 22.942 |\n| Average | 14.299 | 24.324 | 22.651 |\n|  | LF | LFOCC | proposed |","| PROP | 1.060 | 0.8498 | 1.017 | 1.234 |\n| --- | --- | --- | --- | --- |\n| u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |\n| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |\n| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 |",0]
["| Method | Features | Dataset | AUC |\n| --- | --- | --- | --- |\n| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 |","| Single-epoch,w/oredshift | SNLS(partlyreal) | accuracy=0.60 |  |\n| --- | --- | --- | --- |\n| Single-epoch+redshift | Synthetic | accuracy(cid:28)0.9 |  |\n| Lochner2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.984 |\n| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.976 |  |\n| Moller2016 | Multi-epoch(notdisclosed)+redshift | SNLS3(synthetic) | 0.97 |\n| Charnock2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.981 |\n| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.981 |  |\n| Proposed | Single-epoch,w/oredshift | Synthetic | 0.958 |\n| Multi-epoch(4),w/oredshift | Synthetic | 0.995 |  |",1]
["| Method | Features | Dataset | AUC |\n| --- | --- | --- | --- |\n| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 |","| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Speciﬁcity |\n| --- | --- | --- | --- | --- | --- | --- |\n| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |\n| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 |  |\n| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 |  |\n| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 |  |\n| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 |  |\n| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |\n| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 |  |\n| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 |  |\n| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 |  |\n| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 |  |",0]
["| Method | Features | Dataset | AUC |\n| --- | --- | --- | --- |\n| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 |\n| Single-epoch,w/oredshift | SNLS(partlyreal) | accuracy=0.60 |  |","| Single-epoch+redshift | Synthetic | accuracy(cid:28)0.9 |  |\n| --- | --- | --- | --- |\n| Lochner2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.984 |\n| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.976 |  |\n| Moller2016 | Multi-epoch(notdisclosed)+redshift | SNLS3(synthetic) | 0.97 |\n| Charnock2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.981 |\n| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.981 |  |\n| Proposed | Single-epoch,w/oredshift | Synthetic | 0.958 |\n| Multi-epoch(4),w/oredshift | Synthetic | 0.995 |  |",1]
["| Method | Features | Dataset | AUC |\n| --- | --- | --- | --- |\n| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 |\n| Single-epoch,w/oredshift | SNLS(partlyreal) | accuracy=0.60 |  |","| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |\n| --- | --- | --- | --- | --- | --- | --- |\n| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 |  |\n| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 |  |\n| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 |  |\n| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 |  |",0]
["| Train | Test | Train |\n| --- | --- | --- |\n| 93.5 | 90.8 | 88.5 |\n| 96.0 | 94.6 | 91.8 |","| 97.3 | 96.3 | 93.7 |\n| --- | --- | --- |\n| 99.5 | 99.3 | 98.4 |",1]
["| Train | Test | Train |\n| --- | --- | --- |\n| 93.5 | 90.8 | 88.5 |\n| 96.0 | 94.6 | 91.8 |","| Train | Test | Lighting |  |  |  | Ours |\n| --- | --- | --- | --- | --- | --- | --- |\n| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |\n| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |\n| D | D | Diﬀ | 80.55 | 94.98 | 95.76 | 94.17 |\n| M | M | Diﬀ | 71.90 | 90.17 | 92.01 | 93.62 |\n| D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |\n| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 |",0]
["| Train | Test | Train |\n| --- | --- | --- |\n| 93.5 | 90.8 | 88.5 |","| 96.0 | 94.6 | 91.8 |\n| --- | --- | --- |\n| 97.3 | 96.3 | 93.7 |\n| 99.5 | 99.3 | 98.4 |",1]
["| Train | Test | Train |\n| --- | --- | --- |\n| 93.5 | 90.8 | 88.5 |","| M | M | Diﬀ | 71.90 | 90.17 | 92.01 | 93.62 |\n| --- | --- | --- | --- | --- | --- | --- |\n| D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |\n| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 |",0]
["| Simulationaverage |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |\n| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |\n| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |\n| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |\n| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |\n| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |\n| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |\n| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |\n| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |\n| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |\n| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |\n| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |\n| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |\n| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |\n| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |\n| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 |\n| 0.00135 | 1 | 1 | 13.17 | 9.48 | 559.70 | 0.00140 | 1 |\n| 0.00029 | 1 | 1 | 56.24 | 7.74 | 1916.14 | 0033 | 1 |\n| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 |","| 0.00420 | 1 | 1 | 32.96 | 6.14 | 1136.27 | 0.00430 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.01608 | 1 | 1 | 10.93 | 7.53 | 529.90 | 0.01620 | 1 |\n| 0.00543 | 1 | 1 | 11.59 | 10.32 | 712.02 | 0.00550 | 0.99 |\n| 0.00151 | 1 | 1 | 44.69 | 12.45 | 3555.04 | 0.00160 | 1 |\n| 0.01712 | 1 | 1 | 7.99 | 8.75 | 970.30 | 0.01710 | 0.99 |\n| 0.00028 | 1 | 1 | 31.65 | 8.73 | 1320.43 | 0.00034 | 1 |\n| 0.00442 | 1 | 0.95 | 26.23 | 3.38 | 966.61 | 0.00470 | 1 |\n| 0.00.00176 | 1 | 1 | 82.91 | 9.43 | 970.63 | 0.00190 | 1 |",1]
["| Simulationaverage |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |\n| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |\n| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |\n| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |\n| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |\n| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |\n| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |\n| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |\n| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |\n| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |\n| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |\n| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |\n| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |\n| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |\n| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |\n| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 |\n| 0.00135 | 1 | 1 | 13.17 | 9.48 | 559.70 | 0.00140 | 1 |\n| 0.00029 | 1 | 1 | 56.24 | 7.74 | 1916.14 | 0033 | 1 |\n| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 |","| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |\n| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |\n| 5000 | 0.0016 |  |  |  | 0.99850 |  |\n| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["| Simulationaverage |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |\n| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |\n| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |\n| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |\n| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |\n| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |\n| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |\n| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |\n| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |\n| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |\n| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |\n| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |\n| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |\n| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |\n| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |\n| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 |","| 0.00135 | 1 | 1 | 13.17 | 9.48 | 559.70 | 0.00140 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.00029 | 1 | 1 | 56.24 | 7.74 | 1916.14 | 0033 | 1 |\n| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 |\n| 0.00420 | 1 | 1 | 32.96 | 6.14 | 1136.27 | 0.00430 | 1 |\n| 0.01608 | 1 | 1 | 10.93 | 7.53 | 529.90 | 0.01620 | 1 |\n| 0.00543 | 1 | 1 | 11.59 | 10.32 | 712.02 | 0.00550 | 0.99 |\n| 0.00151 | 1 | 1 | 44.69 | 12.45 | 3555.04 | 0.00160 | 1 |\n| 0.01712 | 1 | 1 | 7.99 | 8.75 | 970.30 | 0.01710 | 0.99 |\n| 0.00028 | 1 | 1 | 31.65 | 8.73 | 1320.43 | 0.00034 | 1 |\n| 0.00442 | 1 | 0.95 | 26.23 | 3.38 | 966.61 | 0.00470 | 1 |\n| 0.00.00176 | 1 | 1 | 82.91 | 9.43 | 970.63 | 0.00190 | 1 |",1]
["| Simulationaverage |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |\n| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |\n| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |\n| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |\n| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |\n| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |\n| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |\n| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |\n| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |\n| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |\n| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |\n| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |\n| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |\n| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |\n| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |\n| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 |","| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["| Methods | Data | Voc | BLEU |\n| --- | --- | --- | --- |\n| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |\n| SMT(Durrani,2014) | 36M | Full | 37.0 |\n| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 |\n| RNNsearch(Bahdanau,2014)<br>RNNsearch-LV(Jean,2015) | 12M<br>12M | 30K<br>500K | 28.5<br>32.7 |","| SMT(Schwenk,2014) | 12M | Full | 33.3 |\n| --- | --- | --- | --- |\n| Deep-Att(Ours) | 12M | 30K | 35.9 |",1]
["| Methods | Data | Voc | BLEU |\n| --- | --- | --- | --- |\n| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |\n| SMT(Durrani,2014) | 36M | Full | 37.0 |\n| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 |\n| RNNsearch(Bahdanau,2014)<br>RNNsearch-LV(Jean,2015) | 12M<br>12M | 30K<br>500K | 28.5<br>32.7 |","|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["| Methods | Data | Voc | BLEU |\n| --- | --- | --- | --- |\n| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |\n| SMT(Durrani,2014) | 36M | Full | 37.0 |\n| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 |","| RNNsearch(Bahdanau,2014)<br>RNNsearch-LV(Jean,2015) | 12M<br>12M | 30K<br>500K | 28.5<br>32.7 |\n| --- | --- | --- | --- |\n| SMT(Schwenk,2014) | 12M | Full | 33.3 |\n| Deep-Att(Ours) | 12M | 30K | 35.9 |",1]
["| Methods | Data | Voc | BLEU |\n| --- | --- | --- | --- |\n| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |\n| SMT(Durrani,2014) | 36M | Full | 37.0 |\n| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 |","| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["| Instancetype | Average | stdev | Min | Max | OnDemand |\n| --- | --- | --- | --- | --- | --- |\n| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |","| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |\n| --- | --- | --- | --- | --- | --- |\n| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |\n| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 |",1]
["| Instancetype | Average | stdev | Min | Max | OnDemand |\n| --- | --- | --- | --- | --- | --- |\n| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| Instancetype | Average | stdev | Min | Max | OnDemand |\n| --- | --- | --- | --- | --- | --- |\n| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |\n| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |","| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |\n| --- | --- | --- | --- | --- | --- |\n| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 |",1]
["| Instancetype | Average | stdev | Min | Max | OnDemand |\n| --- | --- | --- | --- | --- | --- |\n| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |\n| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |","| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["|  | Original | V1 | V1Fine | V2 | V2Fine |\n| --- | --- | --- | --- | --- | --- |\n| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |\n| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |\n| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |\n| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |\n| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |\n| Presentation | 87.06 | N/A | N/A | N/A | N/A |\n| Dogs | 66.09 | N/A | N/A | N/A | N/A |\n| Resting | 45.45 | N/A | N/A | N/A | N/A |\n| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |","| Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |\n| --- | --- | --- | --- | --- | --- |\n| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |\n| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |\n| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |\n| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |\n| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |\n| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |\n| Biking | 81.88 | N/A | N/A | N/A | N/A |\n| Walking | N/A | 0.0 | 57.14 | N/A | N/A |\n| Family | 90.15 | N/A | N/A | N/A | N/A |\n| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |\n| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |\n| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 |",1]
["|  | Original | V1 | V1Fine | V2 | V2Fine |\n| --- | --- | --- | --- | --- | --- |\n| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |\n| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |\n| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |\n| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |\n| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |\n| Presentation | 87.06 | N/A | N/A | N/A | N/A |\n| Dogs | 66.09 | N/A | N/A | N/A | N/A |\n| Resting | 45.45 | N/A | N/A | N/A | N/A |\n| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |","|  | kNN | RDF | CNN | CNN+LF |\n| --- | --- | --- | --- | --- |\n| Chores | 33.10 | 17.24 | 00.69 | 20.00 |\n| Driving | 55.07 | 60.87 | 98.55 | 96.62 |\n| Cooking | 25.66 | 35.53 | 47.37 | 60.53 |\n| Exercising | 44.00 | 63.00 | 69.00 | 73.00 |\n| Reading | 68.55 | 49.12 | 30.04 | 53.36 |\n| Presentation | 80.00 | 72.35 | 80.59 | 87.06 |\n| Dogs | 62.17 | 44.35 | 55.65 | 66.09 |\n| Resting | 72.73 | 54.55 | 27.27 | 45.45 |\n| Eating | 77.14 | 75.75 | 82.05 | 83.12 |\n| Working | 91.10 | 96.42 | 93.49 | 95.19 |\n| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |\n| TV | 77.38 | 75.79 | 81.75 | 81.75 |\n| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |\n| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |\n| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |\n| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |\n| Biking | 19.57 | 23.19 | 78.26 | 81.88 |\n| Family | 70.82 | 87.42 | 86.69 | 90.15 |\n| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |\n| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",0]
["|  | Original | V1 | V1Fine | V2 | V2Fine |\n| --- | --- | --- | --- | --- | --- |\n| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |\n| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |\n| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |\n| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |\n| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |\n| Presentation | 87.06 | N/A | N/A | N/A | N/A |","| Dogs | 66.09 | N/A | N/A | N/A | N/A |\n| --- | --- | --- | --- | --- | --- |\n| Resting | 45.45 | N/A | N/A | N/A | N/A |\n| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |\n| Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |\n| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |\n| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |\n| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |\n| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |\n| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |\n| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |\n| Biking | 81.88 | N/A | N/A | N/A | N/A |\n| Walking | N/A | 0.0 | 57.14 | N/A | N/A |\n| Family | 90.15 | N/A | N/A | N/A | N/A |\n| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |\n| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |\n| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 |",1]
["|  | Original | V1 | V1Fine | V2 | V2Fine |\n| --- | --- | --- | --- | --- | --- |\n| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |\n| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |\n| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |\n| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |\n| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |\n| Presentation | 87.06 | N/A | N/A | N/A | N/A |","| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| --- | --- | --- | --- | --- |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",0]
["|  | DQN | D-DQN | DuelingD-DQN | Human |\n| --- | --- | --- | --- | --- |\n| F-Zero | 3116 | 3636 | 5161 | 6298 |","| GradiusIII | 7583 | 12343 | 16929 | 24440 |\n| --- | --- | --- | --- | --- |\n| MortalKombat | 83733 | 56200 | 169300 | 132441 |\n| SuperMario | 11765 | 16946 | 20030 | 36386 |\n| Wolfenstein | 100 | 83 | 40 | 2952 |",1]
["|  | DQN | D-DQN | DuelingD-DQN | Human |\n| --- | --- | --- | --- | --- |\n| F-Zero | 3116 | 3636 | 5161 | 6298 |","| Approaches | One-best | Lattices |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |\n| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |\n| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 |  |  |\n| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 |  |\n| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 |  |  |\n| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 |  |\n| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 |  |  |\n| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |\n| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 |  |  |\n| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |\n| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 |  |  |\n| (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |\n| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 |  |  |\n| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |\n| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 |  |  |\n| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |\n| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 |  |  |",0]
["|  | DQN | D-DQN | DuelingD-DQN | Human |\n| --- | --- | --- | --- | --- |\n| F-Zero | 3116 | 3636 | 5161 | 6298 |","| GradiusIII | 7583 | 12343 | 16929 | 24440 |\n| --- | --- | --- | --- | --- |\n| MortalKombat | 83733 | 56200 | 169300 | 132441 |\n| SuperMario | 11765 | 16946 | 20030 | 36386 |\n| Wolfenstein | 100 | 83 | 40 | 2952 |",1]
["|  | DQN | D-DQN | DuelingD-DQN | Human |\n| --- | --- | --- | --- | --- |\n| F-Zero | 3116 | 3636 | 5161 | 6298 |","| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |\n| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 |  |  |\n| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |\n| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 |  |  |\n| (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |\n| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 |  |  |\n| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |\n| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 |  |  |\n| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |\n| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 |  |  |",0]
["|  | tree<br>RMSEranktime | rice<br>RMSEranktime |\n| --- | --- | --- |\n| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |\n| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |\n| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |\n| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 |","| ER1MP | 0.473±0.001191.5±0.2 | 0.295±0.002222.2±0.6 |\n| --- | --- | --- |\n| IRNN | 0.416±0.00312204.9±19.0 | 0.197±0.00315480.0±50.5 |\n| GPG | 0.417±0.00412195.9±17.5 | 0.197±0.00315464.3±55.0 |\n| FaNCL | 0.416±0.0021210.6±1.8 | 0.198±0.0041525.0±1.8 |\n| FaNCL-acc | 0.414±0.001125.4±0.8 | 0.197±0.001158.4±1.2 |",1]
["|  | tree<br>RMSEranktime | rice<br>RMSEranktime |\n| --- | --- | --- |\n| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |\n| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |\n| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |\n| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 |","|  | broccoli<br>RMSEranktime | cabbage<br>RMSEranktime |\n| --- | --- | --- |\n| AIS-Impute | 0.275±0.00134560±90 | 0.180±0.00128493±46 |\n| LMaFit | 0.302±0.00126±2 | 0.181±0.00136±3 |\n| ER1MP | 0.344±0.0022188±12 | 0.252±0.0034175±23 |\n| FaNCL | 0.252±0.00396079±1378 | 0.149±0.001103243±163 |\n| FaNCL-acc | 0.251±0.0049274±77 | 0.149±0.00110221±12 |",0]
["|  | tree<br>RMSEranktime | rice<br>RMSEranktime |\n| --- | --- | --- |\n| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |\n| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |\n| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |\n| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 |\n| ER1MP | 0.473±0.001191.5±0.2 | 0.295±0.002222.2±0.6 |\n| IRNN | 0.416±0.00312204.9±19.0 | 0.197±0.00315480.0±50.5 |","| GPG | 0.417±0.00412195.9±17.5 | 0.197±0.00315464.3±55.0 |\n| --- | --- | --- |\n| FaNCL | 0.416±0.0021210.6±1.8 | 0.198±0.0041525.0±1.8 |\n| FaNCL-acc | 0.414±0.001125.4±0.8 | 0.197±0.001158.4±1.2 |",1]
["|  | tree<br>RMSEranktime | rice<br>RMSEranktime |\n| --- | --- | --- |\n| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |\n| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |\n| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |\n| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 |\n| ER1MP | 0.473±0.001191.5±0.2 | 0.295±0.002222.2±0.6 |\n| IRNN | 0.416±0.00312204.9±19.0 | 0.197±0.00315480.0±50.5 |","| LMaFit | 0.302±0.00126±2 | 0.181±0.00136±3 |\n| --- | --- | --- |\n| ER1MP | 0.344±0.0022188±12 | 0.252±0.0034175±23 |\n| FaNCL | 0.252±0.00396079±1378 | 0.149±0.001103243±163 |\n| FaNCL-acc | 0.251±0.0049274±77 | 0.149±0.00110221±12 |",0]
["| Scale | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| 64 | 0.71 | 0.73 | 0.76 |\n| 128 | 0.72 | 0.74 | 0.78 |\n| 196 | 0.71 | 0.73 | 0.76 |","| FullImage | 0.67 | 0.69 | 0.57 |\n| --- | --- | --- | --- |\n| 64,128 | 0.72 | 0.75 | 0.78 |\n| 64,128,196 | 0.72 | 0.75 | 0.78 |\n| 64,128,196,FullImage | 0.75 | 0.77 | 0.81 |",1]
["| Scale | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| 64 | 0.71 | 0.73 | 0.76 |\n| 128 | 0.72 | 0.74 | 0.78 |\n| 196 | 0.71 | 0.73 | 0.76 |","| Conv.Layers | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| st<br>1 | 0.66 | 0.68 | 0.69 |\n| 2 | 0.71 | 0.74 | 0.76 |\n| 3 | 0.74 | 0.75 | 0.79 |\n| 4 | 0.74 | 0.76 | 0.79 |\n| 5 | 0.73 | 0.74 | 0.77 |\n| All | 0.75 | 0.77 | 0.81 |",0]
["| Scale | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| 64 | 0.71 | 0.73 | 0.76 |\n| 128 | 0.72 | 0.74 | 0.78 |","| 196 | 0.71 | 0.73 | 0.76 |\n| --- | --- | --- | --- |\n| FullImage | 0.67 | 0.69 | 0.57 |\n| 64,128 | 0.72 | 0.75 | 0.78 |\n| 64,128,196 | 0.72 | 0.75 | 0.78 |\n| 64,128,196,FullImage | 0.75 | 0.77 | 0.81 |",1]
["| Scale | ODS | OIS | AP |\n| --- | --- | --- | --- |\n| 64 | 0.71 | 0.73 | 0.76 |\n| 128 | 0.72 | 0.74 | 0.78 |","| 2 | 0.71 | 0.74 | 0.76 |\n| --- | --- | --- | --- |\n| 3 | 0.74 | 0.75 | 0.79 |\n| 4 | 0.74 | 0.76 | 0.79 |\n| 5 | 0.73 | 0.74 | 0.77 |\n| All | 0.75 | 0.77 | 0.81 |",0]
["| Model | SWBSub. | SWBDel. | SWBIns. |\n| --- | --- | --- | --- |\n| PhoneCTC | 5.8 | 2.7 | 1.1 |\n| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |\n| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) |","| Model | CHSub. | CHDel. | CHIns. |\n| --- | --- | --- | --- |\n| PhoneCTC | 9.6 | 4.7 | 1.7 |\n| WordCTC | 10.3(+0.7) | 6.4(+1.7) | 2.1(+0.4) |\n| +LMresc. | 10.0(+0.4) | 6.1(+1.4) | 1.9(+0.2) |",1]
["| Model | SWBSub. | SWBDel. | SWBIns. |\n| --- | --- | --- | --- |\n| PhoneCTC | 5.8 | 2.7 | 1.1 |\n| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |\n| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) |","| Model | VerbSim | SimLexverbs |\n| --- | --- | --- |\n| Bag-of-Words-10K | 0.385 | 0.085 |\n| Single-10k | 0.561 | 0.090 |\n| Joint-10k | 0.568 | 0.105 |\n| Bag-of-Words-50K | 0.478 | 0.095 |\n| Single-50k | 0.592 | 0.115 |\n| Joint-50k | 0.592 | 0.105 |\n| Bag-of-Words-100K | 0.488 | 0.114 |\n| Single-100k | 0.587 | 0.132 |\n| Joint-100k | 0.607 | 0.114 |",0]
["| Model | SWBSub. | SWBDel. | SWBIns. |\n| --- | --- | --- | --- |\n| PhoneCTC | 5.8 | 2.7 | 1.1 |\n| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |\n| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) |","| Model | CHSub. | CHDel. | CHIns. |\n| --- | --- | --- | --- |\n| PhoneCTC | 9.6 | 4.7 | 1.7 |\n| WordCTC | 10.3(+0.7) | 6.4(+1.7) | 2.1(+0.4) |\n| +LMresc. | 10.0(+0.4) | 6.1(+1.4) | 1.9(+0.2) |",1]
["| Model | SWBSub. | SWBDel. | SWBIns. |\n| --- | --- | --- | --- |\n| PhoneCTC | 5.8 | 2.7 | 1.1 |\n| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |\n| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) |","| Single-50k | 0.592 | 0.115 |\n| --- | --- | --- |\n| Joint-50k | 0.592 | 0.105 |\n| Bag-of-Words-100K | 0.488 | 0.114 |\n| Single-100k | 0.587 | 0.132 |\n| Joint-100k | 0.607 | 0.114 |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| N | amountofrequestsattimeslott |\n| M | numberofresourcetypes |\n|  |  |\n| C | currentavailaberesourceC={c,c,...,c}12M |\n| W | totalresourcesW={w,w,...,w}12M |\n| L | prioritylevel |","| K | amountofacceptedrequestedattimeslot |\n| --- | --- |\n| α | constantbasicpricevalue |\n| β | inﬂuencefactorofpriority |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| N | amountofrequestsattimeslott |\n| M | numberofresourcetypes |\n|  |  |\n| C | currentavailaberesourceC={c,c,...,c}12M |\n| W | totalresourcesW={w,w,...,w}12M |\n| L | prioritylevel |","| Notation | Description |\n| --- | --- |\n| puv | theprobabilityofedgeeu,v |\n| p(u,v)r | thereachabilityprobabilityfromutov |\n| p(u,v)i | theipathfromutov |\n| ruv | thesumofthepathsfromutov |\n| wu | theweightofnodeu |\n| IVT(u) | theinﬂuencevaluetreeofu |\n| WDT(u) | theweightdiscounttreeofu |\n| Vu | thevalueofnodeu |\n| Wu | thevaluegeneratedbyuinu’sneighborhood |\n| Ou | thesetofsuccessorsofu |\n| Iu | thesetofpredecessorsofu |\n| θ | boundparameterofBWRalgorithm |\n| α | stepswhichinﬂuencecanpropagate |\n| β | performanceboundofBWR |",0]
["| Symbol | Deﬁnition |\n| --- | --- |\n| N | amountofrequestsattimeslott |\n| M | numberofresourcetypes |\n|  |  |","| C | currentavailaberesourceC={c,c,...,c}12M |\n| --- | --- |\n| W | totalresourcesW={w,w,...,w}12M |\n| L | prioritylevel |\n| K | amountofacceptedrequestedattimeslot |\n| α | constantbasicpricevalue |\n| β | inﬂuencefactorofpriority |",1]
["| Symbol | Deﬁnition |\n| --- | --- |\n| N | amountofrequestsattimeslott |\n| M | numberofresourcetypes |\n|  |  |","| p(u,v)r | thereachabilityprobabilityfromutov |\n| --- | --- |\n| p(u,v)i | theipathfromutov |\n| ruv | thesumofthepathsfromutov |\n| wu | theweightofnodeu |\n| IVT(u) | theinﬂuencevaluetreeofu |\n| WDT(u) | theweightdiscounttreeofu |\n| Vu | thevalueofnodeu |\n| Wu | thevaluegeneratedbyuinu’sneighborhood |\n| Ou | thesetofsuccessorsofu |\n| Iu | thesetofpredecessorsofu |\n| θ | boundparameterofBWRalgorithm |\n| α | stepswhichinﬂuencecanpropagate |\n| β | performanceboundofBWR |",0]
["| Parameter | Value |\n| --- | --- |\n| A=Apn | 4000 |\n| xp | 0.3 |\n| xn | 0.5 |","| αp | 1 |\n| --- | --- |\n| αn | 5 |\n| a=a12 | 0.17 |\n| b | 0.05 |\n| Vp | 0.16[V] |\n| Vn | -0.15[V] |",1]
["| Parameter | Value |\n| --- | --- |\n| A=Apn | 4000 |\n| xp | 0.3 |\n| xn | 0.5 |","| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |\n| α | 60 | C | 10 | k | ∞ |\n| Vt | 0 | γ | 60 | q | 10 |\n| m0 | −400 | m1 | 400 | imin | 10 |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| Parameter | Value |\n| --- | --- |\n| A=Apn | 4000 |\n| xp | 0.3 |\n| xn | 0.5 |","| αp | 1 |\n| --- | --- |\n| αn | 5 |\n| a=a12 | 0.17 |\n| b | 0.05 |\n| Vp | 0.16[V] |\n| Vn | -0.15[V] |",1]
["| Parameter | Value |\n| --- | --- |\n| A=Apn | 4000 |\n| xp | 0.3 |\n| xn | 0.5 |","| α | 60 | C | 10 | k | ∞ |\n| --- | --- | --- | --- | --- | --- |\n| Vt | 0 | γ | 60 | q | 10 |\n| m0 | −400 | m1 | 400 | imin | 10 |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",0]
["| Communities | Individuals |\n| --- | --- |\n| n1 | ltol16 |\n| n2 | l,ltol1812 |\n| n3 | l,ltol11317 |\n| n4 | l,ltol11822 |\n| n5 | l,ltol12327 |\n| n6 | l,ltol22831 |\n| n7 | l,ltol33235 |\n| n8 | l,ltol33639 |\n| n9 | l,ltol44043 |","| n10 | l,l,ltol474446 |\n| --- | --- |\n| n11 | l,l,ltol574750 |\n| n12 | l,ltol65154 |",1]
["| Communities | Individuals |\n| --- | --- |\n| n1 | ltol16 |\n| n2 | l,ltol1812 |\n| n3 | l,ltol11317 |\n| n4 | l,ltol11822 |\n| n5 | l,ltol12327 |\n| n6 | l,ltol22831 |\n| n7 | l,ltol33235 |\n| n8 | l,ltol33639 |\n| n9 | l,ltol44043 |","|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.7303 | 0.7339 | 0.7238 | 0.7257 | 0.6038 | 0.5872 | 0.6081 |\n| Gym | 0.5068 | 0.5141 | 0.4567 | 0.5176 | 0.4625 | 0.4484 | 0.0254 |\n| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |\n| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |\n| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |\n| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |\n| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |\n| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |\n| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |\n| Human9 | 0.664 | 0.5661 | 0.5538 | 0.4515 | 0.484 | 0.0073 | 0.0031 |\n| Ironman | 0.4604 | 0.428 | 0.1816 | 0.4418 | 0.0138 | 0.1411 | 0.3368 |\n| Jogging-1 | 0.7098 | 0.7711 | 0.7369 | 0.7773 | 0.749 | 0.7217 | 0.4915 |\n| Jogging-2 | 0.7389 | 0.7439 | 0.7602 | 0.731 | 0.7565 | 0.7214 | 0.0338 |\n| Jump | 0.0496 | 0.1593 | 0.251 | 0.1659 | 0.1694 | 0.0656 | 0.0582 |\n| Jumping | 0.6867 | 0.7176 | 0.7157 | 0.6872 | 0.7184 | 0.5757 | 0.5276 |\n| KiteSurf | 0.7098 | 0.7676 | 0.6298 | 0.343 | 0.7358 | 0.6865 | 0.7103 |\n| Lemming | 0.7499 | 0.7108 | 0.7356 | 0.7582 | 0.7461 | 0.0215 | 0.0213 |\n| Liquor | 0.7915 | 0.6435 | 0.7477 | 0.6869 | 0.7283 | 0.6757 | 0.1501 |\n| Man | 0.8077 | 0.8017 | 0.779 | 0.7903 | 0.79 | 0.8088 | 0.8006 |\n| Matrix | 0.279 | 0.4671 | 0.4476 | 0.4724 | 0.4705 | 0.1057 | 0.0705 |\n| Mhyang | 0.7521 | 0.8094 | 0.8147 | 0.7603 | 0.6258 | 0.6084 | 0.674 |\n| MotorRolling | 0.5839 | 0.5833 | 0.5851 | 0.5976 | 0.5738 | 0.1283 | 0.2398 |\n| MountainBike | 0.7652 | 0.7172 | 0.7366 | 0.6433 | 0.7135 | 0.0063 | 0.0063 |\n| Panda | 0.6096 | 0.5238 | 0.5448 | 0.57 | 0.5035 | 0.5199 | 0.4794 |\n| RedTeam | 0.559 | 0.5711 | 0.6262 | 0.5641 | 0.5719 | 0.5234 | 0.2384 |\n| Rubik | 0.7301 | 0.7106 | 0.7157 | 0.7075 | 0.7009 | 0.7092 | 0.0121 |\n| Shaking | 0.6814 | 0.5986 | 0.6864 | 0.0907 | 0.0421 | 0.6373 | 0.0566 |\n| Singer1 | 0.7614 | 0.7159 | 0.7422 | 0.7128 | 0.6918 | 0.4938 | 0.6759 |\n| Singer2 | 0.6043 | 0.6906 | 0.0389 | 0.0848 | 0.0628 | 0.006 | 0.0034 |\n| Skater | 0.5256 | 0.5482 | 0.6131 | 0.5643 | 0.5827 | 0.5601 | 0.6149 |\n| Skater2 | 0.5395 | 0.5747 | 0.6726 | 0.5111 | 0.417 | 0.0297 | 0.0363 |\n| Skating1 | 0.6006 | 0.6439 | 0.5325 | 0.5804 | 0.6102 | 0.5495 | 0.592 |\n| Skating2-1 | 0.481 | 0.5028 | 0.4327 | 0.4521 | 0.4986 | 0.4919 | 0.4462 |\n| Skating2-2 | 0.3244 | 0.4951 | 0.5316 | 0.3864 | 0.4175 | 0.0196 | 0.017 |\n| Skiing | 0.4891 | 0.495 | 0.5056 | 0.4633 | 0.4762 | 0.3774 | 0.3633 |\n| Soccer | 0.4948 | 0.4218 | 0.3805 | 0.4939 | 0.4021 | 0.3697 | 0.4123 |\n| Subway | 0.7546 | 0.6754 | 0.6751 | 0.6724 | 0.6528 | 0.6727 | 0.6833 |\n| Surfer | 0.7007 | 0.7285 | 0.719 | 0.7023 | 0.7207 | 0.7411 | 0.1836 |\n| Suv | 0.744 | 0.7973 | 0.7744 | 0.7893 | 0.7716 | 0.6956 | 0.1601 |\n| Sylvester | 0.7125 | 0.6861 | 0.7 | 0.6968 | 0.1434 | 0.2789 | 0.2842 |\n| Tiger1 | 0.6224 | 0.6396 | 0.6679 | 0.6355 | 0.4128 | 0.4374 | 0.0549 |\n| Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |\n| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |\n| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |\n| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |\n| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |\n| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |\n| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |\n| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |\n| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |\n| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 |",0]
["| Communities | Individuals |\n| --- | --- |\n| n1 | ltol16 |\n| n2 | l,ltol1812 |\n| n3 | l,ltol11317 |\n| n4 | l,ltol11822 |","| n5 | l,ltol12327 |\n| --- | --- |\n| n6 | l,ltol22831 |\n| n7 | l,ltol33235 |\n| n8 | l,ltol33639 |\n| n9 | l,ltol44043 |\n| n10 | l,l,ltol474446 |\n| n11 | l,l,ltol574750 |\n| n12 | l,ltol65154 |",1]
["| Communities | Individuals |\n| --- | --- |\n| n1 | ltol16 |\n| n2 | l,ltol1812 |\n| n3 | l,ltol11317 |\n| n4 | l,ltol11822 |","| Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |\n| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |\n| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |\n| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |\n| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |\n| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |\n| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |\n| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |\n| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 |",0]
["|  | EnhancingCore | TumorCore | WholeTumor |\n| --- | --- | --- | --- |\n| Unetaxialslices | 73.9 | 78.1 | 86.5 |","| 2Dmodel1axialslices | 73.6 | 79.4 | 86.6 |\n| --- | --- | --- | --- |\n| Standard3Dmodel(without2Dfeatures) | 73.7 | 77.0 | 85.7 |\n| 2D-3DmodelA,featuresfrom2Dmodel1 | 77.4 | 80.9 | 87.3 |",1]
["|  | EnhancingCore | TumorCore | WholeTumor |\n| --- | --- | --- | --- |\n| Unetaxialslices | 73.9 | 78.1 | 86.5 |","|  | EC | TC | WT |\n| --- | --- | --- | --- |\n| Unetaxialslices | 71.4 | 76.6 | 87.7 |\n| 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 |\n| 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |\n| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 |\n| *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 |\n| *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 |\n| *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |\n| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 |\n| *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 |\n| *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 |\n| Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 |",0]
["|  | EnhancingCore | TumorCore | WholeTumor |\n| --- | --- | --- | --- |\n| Unetaxialslices | 73.9 | 78.1 | 86.5 |","| 2Dmodel1axialslices | 73.6 | 79.4 | 86.6 |\n| --- | --- | --- | --- |\n| Standard3Dmodel(without2Dfeatures) | 73.7 | 77.0 | 85.7 |\n| 2D-3DmodelA,featuresfrom2Dmodel1 | 77.4 | 80.9 | 87.3 |",1]
["|  | EnhancingCore | TumorCore | WholeTumor |\n| --- | --- | --- | --- |\n| Unetaxialslices | 73.9 | 78.1 | 86.5 |","| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 |\n| --- | --- | --- | --- |\n| *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 |\n| *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 |\n| *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |\n| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 |\n| *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 |\n| *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 |\n| Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 |",0]
["| Process | Training | Testing |\n| --- | --- | --- |\n| Pre-processing | - | 0.58863 |\n| LBPfeatureextraction | - | 0.00857 |\n| CNNfeatureextraction | - | 0.22523 |","| Two-streamCNN | 3168.016 | 0.01075 |\n| --- | --- | --- |\n| SVM(genderclassiﬁcation) | 1.0842 | 0.000007 |\n| SVM(biometricidentiﬁcation) | 114.5 | 0.00281 |",1]
["| Process | Training | Testing |\n| --- | --- | --- |\n| Pre-processing | - | 0.58863 |\n| LBPfeatureextraction | - | 0.00857 |\n| CNNfeatureextraction | - | 0.22523 |","| Network | Precision | Recall | F1-Score |\n| --- | --- | --- | --- |\n| AlexNet | 0.28 | 0.67 | 0.40 |\n| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |\n| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |\n| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |\n| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["| Process | Training | Testing |\n| --- | --- | --- |\n| Pre-processing | - | 0.58863 |\n| LBPfeatureextraction | - | 0.00857 |\n| CNNfeatureextraction | - | 0.22523 |","| Two-streamCNN | 3168.016 | 0.01075 |\n| --- | --- | --- |\n| SVM(genderclassiﬁcation) | 1.0842 | 0.000007 |\n| SVM(biometricidentiﬁcation) | 114.5 | 0.00281 |",1]
["| Process | Training | Testing |\n| --- | --- | --- |\n| Pre-processing | - | 0.58863 |\n| LBPfeatureextraction | - | 0.00857 |\n| CNNfeatureextraction | - | 0.22523 |","| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |\n| --- | --- | --- | --- |\n| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |\n| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |\n| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 |",0]
["| Collection | ObjectID | Fields |\n| --- | --- | --- |\n| Hubs |  |  |\n| HubTitle | Titleid |  |\n| HubDate | Dateid |  |\n| HubLocation | Locationid |  |\n| HubCategory | Categoryid |  |","| Link |  |  |\n| --- | --- | --- |\n| LinkDocument | Documentid |  |\n| Satellites |  |  |\n| SatTitle | Titleid | Title,Authors,Description,Keywords |\n| SatDate | Dateid | Epoch,DepositDate,UpdateDate |\n| SatLocation | Locationid | Address,AdditionalInfo,Reference |\n| SatIRHIS | Categoryid | CodePhoto,Provenance |\n| SatVoixDuNord | Categoryid | Language,Note |\n| SatInventory | Categoryid | Property,Link |\n| SatBook | Categoryid | Rights,Publisher |",1]
["| Collection | ObjectID | Fields |\n| --- | --- | --- |\n| Hubs |  |  |\n| HubTitle | Titleid |  |\n| HubDate | Dateid |  |\n| HubLocation | Locationid |  |\n| HubCategory | Categoryid |  |","| query | category | length | keywords |\n| --- | --- | --- | --- |\n| Q1 | 1 | 2 | imageuri |\n| Q2 | 3 | imageurirelease |  |\n| Q3 | 4 | imageurireleaseidentiﬁers |  |\n| Q4 | 2 | 2 | vinylelectronic |\n| Q5 | 3 | vinylelectronic12” |  |\n| Q6 | 4 | vinylelectronic12”uk |  |\n| Q7 | 3 | 2 | descriptionrpm |\n| Q8 | 3 | descriptionrpm45 |  |\n| Q9 | 4 | descriptionrpm457” |  |",0]
["| Collection | ObjectID | Fields |\n| --- | --- | --- |\n| Hubs |  |  |\n| HubTitle | Titleid |  |\n| HubDate | Dateid |  |\n| HubLocation | Locationid |  |\n| HubCategory | Categoryid |  |\n| Link |  |  |\n| LinkDocument | Documentid |  |\n| Satellites |  |  |\n| SatTitle | Titleid | Title,Authors,Description,Keywords |\n| SatDate | Dateid | Epoch,DepositDate,UpdateDate |\n| SatLocation | Locationid | Address,AdditionalInfo,Reference |","| SatIRHIS | Categoryid | CodePhoto,Provenance |\n| --- | --- | --- |\n| SatVoixDuNord | Categoryid | Language,Note |\n| SatInventory | Categoryid | Property,Link |\n| SatBook | Categoryid | Rights,Publisher |",1]
["| Collection | ObjectID | Fields |\n| --- | --- | --- |\n| Hubs |  |  |\n| HubTitle | Titleid |  |\n| HubDate | Dateid |  |\n| HubLocation | Locationid |  |\n| HubCategory | Categoryid |  |\n| Link |  |  |\n| LinkDocument | Documentid |  |\n| Satellites |  |  |\n| SatTitle | Titleid | Title,Authors,Description,Keywords |\n| SatDate | Dateid | Epoch,DepositDate,UpdateDate |\n| SatLocation | Locationid | Address,AdditionalInfo,Reference |","| Q7 | 3 | 2 | descriptionrpm |\n| --- | --- | --- | --- |\n| Q8 | 3 | descriptionrpm45 |  |\n| Q9 | 4 | descriptionrpm457” |  |",0]
["| ID | Transaction |\n| --- | --- |\n| 1 | A(0.7);B(1.0);C(0.2) |\n| 2 | A(0.9);D(0.5);E(0.4);F(0.8) |\n| 3 | B(0.3);D(1.0);G(0.7) |","| 4 | A(0.1);B(0.6);C(0.7);E(0.2);G(0.4) |\n| --- | --- |\n| 5 | C(0.5);D(0.2);E(0.8) |\n| 6 | B(0.6);C(0.3);E(1.0);F(0.4) |",1]
["| ID | Transaction |\n| --- | --- |\n| 1 | A(0.7);B(1.0);C(0.2) |\n| 2 | A(0.9);D(0.5);E(0.4);F(0.8) |\n| 3 | B(0.3);D(1.0);G(0.7) |","| (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |\n| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |\n| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",0]
["| ID | Transaction |\n| --- | --- |\n| 1 | A(0.7);B(1.0);C(0.2) |","| 2 | A(0.9);D(0.5);E(0.4);F(0.8) |\n| --- | --- |\n| 3 | B(0.3);D(1.0);G(0.7) |\n| 4 | A(0.1);B(0.6);C(0.7);E(0.2);G(0.4) |\n| 5 | C(0.5);D(0.2);E(0.8) |\n| 6 | B(0.6);C(0.3);E(1.0);F(0.4) |",1]
["| ID | Transaction |\n| --- | --- |\n| 1 | A(0.7);B(1.0);C(0.2) |","| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 |",0]
["| compression<br>ratio |\n| --- |\n| 0.76 |\n| 0.43 |","| 0.26 |\n| --- |\n| 0.18 |\n| 0.14 |\n| 0.12 |",1]
["| compression<br>ratio |\n| --- |\n| 0.76 |\n| 0.43 |","| h | Compression | Distortion |\n| --- | --- | --- |\n| 1 | 49 | 0.135196 |\n| 2 | 24.5 | 0.124725 |\n| 3 | 16.33333333 | 0.0947032 |\n| 5 | 9.8 | 0.0354035 |\n| 7 | 7 | 0.031808 |\n| 20 | 2.45 | 0.0149272 |",0]
["| compression<br>ratio |\n| --- |\n| 0.76 |","| 0.43 |\n| --- |\n| 0.26 |\n| 0.18 |\n| 0.14 |\n| 0.12 |",1]
["| compression<br>ratio |\n| --- |\n| 0.76 |","| 3 | 16.33333333 | 0.0947032 |\n| --- | --- | --- |\n| 5 | 9.8 | 0.0354035 |\n| 7 | 7 | 0.031808 |\n| 20 | 2.45 | 0.0149272 |",0]
["| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.19750.20350.20870.21720.2233 |\n| SDH | 0.17150.20220.21360.22140.2396 |\n| COSDISH | 0.17210.20360.21640.22700.2424 |\n| ZSH | 0.19210.21680.22230.24300.2663 |\n| One-Stage | 0.21280.24620.25260.26320.2512 |","| NDA-ZSH | 0.22900.20180.19540.19270.1875 |\n| --- | --- |\n| DA-ZSH | 0.41260.43130.45800.53250.5529 |\n| ship-truck<br>dog-truck<br>auto-deer<br>cat-dog | 0.66440.67680.68480.69080.6828<br>0.62630.63700.63450.63950.6400<br>0.62120.62660.63590.63470.6405<br>0.30930.32210.31180.31020.3140 |",1]
["| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.19750.20350.20870.21720.2233 |\n| SDH | 0.17150.20220.21360.22140.2396 |\n| COSDISH | 0.17210.20360.21640.22700.2424 |\n| ZSH | 0.19210.21680.22230.24300.2663 |\n| One-Stage | 0.21280.24620.25260.26320.2512 |","| Method | AwA(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.10820.10920.11020.11020.1103 |\n| SDH | 0.09480.07430.11270.12660.1135 |\n| COSDISH | 0.07790.10450.11840.11150.1035 |\n| ZSH | 0.10870.10510.12190.11710.1208 |\n| NDA-ZSH | 0.08340.10670.11480.12780.1281 |\n| DA-ZSH | 0.10300.12610.13750.14320.1432 |\n| TZSH | 0.40100.48030.53270.54280.5442 |",0]
["| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.19750.20350.20870.21720.2233 |\n| SDH | 0.17150.20220.21360.22140.2396 |\n| COSDISH | 0.17210.20360.21640.22700.2424 |","| ZSH | 0.19210.21680.22230.24300.2663 |\n| --- | --- |\n| One-Stage | 0.21280.24620.25260.26320.2512 |\n| NDA-ZSH | 0.22900.20180.19540.19270.1875 |\n| DA-ZSH | 0.41260.43130.45800.53250.5529 |\n| ship-truck<br>dog-truck<br>auto-deer<br>cat-dog | 0.66440.67680.68480.69080.6828<br>0.62630.63700.63450.63950.6400<br>0.62120.62660.63590.63470.6405<br>0.30930.32210.31180.31020.3140 |",1]
["| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |\n| --- | --- |\n| IMH | 0.19750.20350.20870.21720.2233 |\n| SDH | 0.17150.20220.21360.22140.2396 |\n| COSDISH | 0.17210.20360.21640.22700.2424 |","| ZSH | 0.10870.10510.12190.11710.1208 |\n| --- | --- |\n| NDA-ZSH | 0.08340.10670.11480.12780.1281 |\n| DA-ZSH | 0.10300.12610.13750.14320.1432 |\n| TZSH | 0.40100.48030.53270.54280.5442 |",0]
["| Item | Statistics |\n| --- | --- |\n| SpatialCoverage | UnitedStates |\n| TemporalCoverage | Aug,2010toSep,2012 |","| VocabularySize | 40,173 |\n| --- | --- |\n| Num.Documents | 5,298,978 |",1]
["| Item | Statistics |\n| --- | --- |\n| SpatialCoverage | UnitedStates |\n| TemporalCoverage | Aug,2010toSep,2012 |","| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |\n| Mediannumberofwords | 54 |\n| Mediansentencelength | 51characters |\n| MedianNbrofwordsinsentence | 8 |",0]
["| Item | Statistics |\n| --- | --- |\n| SpatialCoverage | UnitedStates |\n| TemporalCoverage | Aug,2010toSep,2012 |","| VocabularySize | 40,173 |\n| --- | --- |\n| Num.Documents | 5,298,978 |",1]
["| Item | Statistics |\n| --- | --- |\n| SpatialCoverage | UnitedStates |\n| TemporalCoverage | Aug,2010toSep,2012 |","| Mediansentencelength | 51characters |\n| --- | --- |\n| MedianNbrofwordsinsentence | 8 |",0]
["| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |\n| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |\n| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |","| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |\n| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |\n| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |\n| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |\n| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |\n| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |\n| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |\n| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 |",1]
["| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |\n| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |\n| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |","| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |\n| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |","| (4,2) | 0.21 | 0.06 | 0.61 | 0.73 | 39.35 | 18.45 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (5,2) | 0.21 | 0.05 | 0.59 | 0.69 | 38.37 | 19.57 |\n| (2,5) | 0.21 | 0.07 | 0.69 | 0.79 | 39.53 | 17.72 |\n| (3,5) | 0.21 | 0.07 | 0.63 | 0.73 | 38.33 | 18.72 |\n| (4,5) | 0.21 | 0.06 | 0.60 | 0.65 | 38.16 | 21.19 |\n| (5,5) | 0.21 | 0.06 | 0.59 | 0.65 | 37.91 | 21.33 |\n| (2,10) | 0.27 | 0.11 | 0.62 | 0.81 | 38.20 | 14.02 |\n| (3,10) | 0.23 | 0.08 | 0.62 | 0.69 | 36.41 | 19.92 |\n| (4,10) | 0.26 | 0.07 | 0.55 | 0.62 | 39.52 | 20.19 |\n| (5,10) | 0.23 | 0.07 | 0.55 | 0.58 | 37.15 | 22.38 |",1]
["| Dataset | Average<br>FPCR | Average<br>TPCR | Average<br>FPC1PR | Average<br>TPC1PR | AverageFP<br>MCSrank | AverageFP<br>MC1PSrank |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,2) | 0.20 | 0.05 | 0.66 | 0.82 | 39.65 | 15.47 |\n| (3,2) | 0.20 | 0.06 | 0.67 | 0.76 | 38.48 | 19.27 |","| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |\n| --- | --- | --- | --- | --- | --- | --- |\n| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |\n| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 |  |\n| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 |  |\n| ﬁngerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 |  |\n| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 |  |\n| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 |  |\n| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 |  |\n| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 |  |\n| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |\n| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 |  |","| couple | 27.698 | 26.893 | 27.198 | 25.885 | 27.046 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ﬁngerprint | 24.919 | 24.637 | 24.776 | 24.193 | 24.790 |  |\n| hill | 28.472 | 27.759 | 28.013 | 26.436 | 27.868 |  |\n| Lena | 29.929 | 29.060 | 29.167 | 26.970 | 29.186 |  |\n| man | 27.897 | 27.337 | 27.535 | 26.089 | 27.471 |  |\n| peppers | 29.986 | 29.239 | 29.202 | 26.992 | 29.356 |  |\n| σ=50 | airplane | 26.193 | 25.407 | 25.408 | 24.811 | 25.471 |\n| boat | 25.537 | 24.789 | 24.871 | 24.472 | 24.825 |  |\n| couple | 25.268 | 24.571 | 24.644 | 24.284 | 24.595 |  |\n| ﬁngerprint | 22.662 | 22.383 | 22.361 | 21.871 | 22.442 |  |\n| hill | 26.349 | 25.572 | 25.615 | 25.432 | 25.587 |  |\n| Lena | 27.476 | 26.622 | 26.519 | 26.243 | 26.699 |  |\n| man | 25.710 | 25.075 | 25.098 | 24.782 | 25.128 |  |\n| peppers | 27.235 | 26.411 | 26.236 | 26.052 | 26.518 |  |\n| σ=70 | airplane | 24.550 | 23.684 | 23.481 | 23.068 | 23.967 |\n| boat | 24.144 | 23.228 | 23.120 | 22.945 | 23.406 |  |\n| couple | 23.907 | 23.079 | 22.945 | 22.844 | 23.279 |  |\n| ﬁngerprint | 21.411 | 20.858 | 20.686 | 20.245 | 21.050 |  |\n| hill | 25.023 | 24.054 | 23.898 | 24.056 | 24.315 |  |\n| Lena | 26.011 | 24.699 | 24.420 | 24.573 | 25.122 |  |\n| man | 24.366 | 23.459 | 23.299 | 23.331 | 23.712 |  |\n| peppers | 25.360 | 24.277 | 23.942 | 24.155 | 24.729 |  |\n| σ=100 | airplane | 23.086 | 22.015 | 22.193 | 21.723 | 22.318 |\n| boat | 22.737 | 21.690 | 21.842 | 21.623 | 21.853 |  |\n| couple | 22.631 | 21.530 | 21.691 | 21.607 | 21.681 |  |\n| ﬁngerprint | 20.079 | 19.253 | 19.384 | 18.991 | 19.417 |  |\n| hill | 23.597 | 22.406 | 22.605 | 22.583 | 22.609 |  |\n| Lena | 24.531 | 22.660 | 22.881 | 22.749 | 23.051 |  |\n| man | 23.016 | 21.832 | 22.017 | 21.981 | 22.067 |  |\n| peppers | 23.648 | 22.258 | 22.447 | 22.364 | 22.708 |  |",1]
["| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |\n| --- | --- | --- | --- | --- | --- | --- |\n| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |\n| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 |  |\n| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 |  |\n| ﬁngerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 |  |\n| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 |  |\n| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 |  |\n| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 |  |\n| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 |  |\n| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |\n| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 |  |","|  | BMCNN | woBMCNN | DnCNN |\n| --- | --- | --- | --- |\n| Cameraman | 30.20 | 30.08 | 30.11 |\n| Lena | 32.53 | 32.45 | 32.48 |\n| Barbara | 30.58 | 29.91 | 29.94 |\n| Boat | 30.25 | 30.17 | 30.21 |\n| Couple | 30.12 | 30.09 | 30.10 |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |\n| Jetplane | 32.17 | 32.02 | 32.06 |\n| Man | 30.06 | 30.04 | 30.06 |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",0]
["| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |\n| --- | --- | --- | --- | --- | --- | --- |\n| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |\n| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 |  |\n| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 |  |\n| ﬁngerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 |  |\n| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 |  |\n| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 |  |\n| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 |  |\n| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 |  |\n| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |\n| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 |  |\n| couple | 27.698 | 26.893 | 27.198 | 25.885 | 27.046 |  |\n| ﬁngerprint | 24.919 | 24.637 | 24.776 | 24.193 | 24.790 |  |\n| hill | 28.472 | 27.759 | 28.013 | 26.436 | 27.868 |  |\n| Lena | 29.929 | 29.060 | 29.167 | 26.970 | 29.186 |  |\n| man | 27.897 | 27.337 | 27.535 | 26.089 | 27.471 |  |\n| peppers | 29.986 | 29.239 | 29.202 | 26.992 | 29.356 |  |\n| σ=50 | airplane | 26.193 | 25.407 | 25.408 | 24.811 | 25.471 |\n| boat | 25.537 | 24.789 | 24.871 | 24.472 | 24.825 |  |\n| couple | 25.268 | 24.571 | 24.644 | 24.284 | 24.595 |  |\n| ﬁngerprint | 22.662 | 22.383 | 22.361 | 21.871 | 22.442 |  |\n| hill | 26.349 | 25.572 | 25.615 | 25.432 | 25.587 |  |\n| Lena | 27.476 | 26.622 | 26.519 | 26.243 | 26.699 |  |\n| man | 25.710 | 25.075 | 25.098 | 24.782 | 25.128 |  |\n| peppers | 27.235 | 26.411 | 26.236 | 26.052 | 26.518 |  |\n| σ=70 | airplane | 24.550 | 23.684 | 23.481 | 23.068 | 23.967 |\n| boat | 24.144 | 23.228 | 23.120 | 22.945 | 23.406 |  |\n| couple | 23.907 | 23.079 | 22.945 | 22.844 | 23.279 |  |\n| ﬁngerprint | 21.411 | 20.858 | 20.686 | 20.245 | 21.050 |  |\n| hill | 25.023 | 24.054 | 23.898 | 24.056 | 24.315 |  |\n| Lena | 26.011 | 24.699 | 24.420 | 24.573 | 25.122 |  |\n| man | 24.366 | 23.459 | 23.299 | 23.331 | 23.712 |  |\n| peppers | 25.360 | 24.277 | 23.942 | 24.155 | 24.729 |  |\n| σ=100 | airplane | 23.086 | 22.015 | 22.193 | 21.723 | 22.318 |","| boat | 22.737 | 21.690 | 21.842 | 21.623 | 21.853 |\n| --- | --- | --- | --- | --- | --- |\n| couple | 22.631 | 21.530 | 21.691 | 21.607 | 21.681 |\n| ﬁngerprint | 20.079 | 19.253 | 19.384 | 18.991 | 19.417 |\n| hill | 23.597 | 22.406 | 22.605 | 22.583 | 22.609 |\n| Lena | 24.531 | 22.660 | 22.881 | 22.749 | 23.051 |\n| man | 23.016 | 21.832 | 22.017 | 21.981 | 22.067 |\n| peppers | 23.648 | 22.258 | 22.447 | 22.364 | 22.708 |",1]
["| Noise | Image | WNN-I | WNN | LNN | TNNwithr=1 | Swithp=0.1p |\n| --- | --- | --- | --- | --- | --- | --- |\n| σ=10 | airplane | 34.732 | 34.352 | 34.130 | 30.146 | 34.495 |\n| boat | 33.727 | 33.186 | 33.309 | 30.023 | 33.512 |  |\n| couple | 33.735 | 33.247 | 33.240 | 30.019 | 33.551 |  |\n| ﬁngerprint | 31.069 | 30.907 | 30.696 | 29.420 | 30.999 |  |\n| hill | 33.715 | 33.300 | 33.386 | 30.075 | 33.629 |  |\n| Lena | 35.721 | 35.308 | 35.026 | 30.282 | 35.496 |  |\n| man | 33.436 | 32.998 | 33.069 | 29.998 | 33.329 |  |\n| peppers | 35.965 | 35.593 | 35.149 | 30.292 | 35.736 |  |\n| σ=30 | airplane | 28.749 | 28.077 | 28.200 | 26.357 | 28.242 |\n| boat | 27.875 | 27.144 | 27.413 | 26.013 | 27.273 |  |\n| couple | 27.698 | 26.893 | 27.198 | 25.885 | 27.046 |  |\n| ﬁngerprint | 24.919 | 24.637 | 24.776 | 24.193 | 24.790 |  |\n| hill | 28.472 | 27.759 | 28.013 | 26.436 | 27.868 |  |\n| Lena | 29.929 | 29.060 | 29.167 | 26.970 | 29.186 |  |\n| man | 27.897 | 27.337 | 27.535 | 26.089 | 27.471 |  |\n| peppers | 29.986 | 29.239 | 29.202 | 26.992 | 29.356 |  |\n| σ=50 | airplane | 26.193 | 25.407 | 25.408 | 24.811 | 25.471 |\n| boat | 25.537 | 24.789 | 24.871 | 24.472 | 24.825 |  |\n| couple | 25.268 | 24.571 | 24.644 | 24.284 | 24.595 |  |\n| ﬁngerprint | 22.662 | 22.383 | 22.361 | 21.871 | 22.442 |  |\n| hill | 26.349 | 25.572 | 25.615 | 25.432 | 25.587 |  |\n| Lena | 27.476 | 26.622 | 26.519 | 26.243 | 26.699 |  |\n| man | 25.710 | 25.075 | 25.098 | 24.782 | 25.128 |  |\n| peppers | 27.235 | 26.411 | 26.236 | 26.052 | 26.518 |  |\n| σ=70 | airplane | 24.550 | 23.684 | 23.481 | 23.068 | 23.967 |\n| boat | 24.144 | 23.228 | 23.120 | 22.945 | 23.406 |  |\n| couple | 23.907 | 23.079 | 22.945 | 22.844 | 23.279 |  |\n| ﬁngerprint | 21.411 | 20.858 | 20.686 | 20.245 | 21.050 |  |\n| hill | 25.023 | 24.054 | 23.898 | 24.056 | 24.315 |  |\n| Lena | 26.011 | 24.699 | 24.420 | 24.573 | 25.122 |  |\n| man | 24.366 | 23.459 | 23.299 | 23.331 | 23.712 |  |\n| peppers | 25.360 | 24.277 | 23.942 | 24.155 | 24.729 |  |\n| σ=100 | airplane | 23.086 | 22.015 | 22.193 | 21.723 | 22.318 |","| Couple | 30.12 | 30.09 | 30.10 |\n| --- | --- | --- | --- |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |\n| Jetplane | 32.17 | 32.02 | 32.06 |\n| Man | 30.06 | 30.04 | 30.06 |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",0]
["| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |\n| α | 60 | C | 10 | k | ∞ |","| Vt | 0 | γ | 60 | q | 10 |\n| --- | --- | --- | --- | --- | --- |\n| m0 | −400 | m1 | 400 | imin | 10 |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",1]
["| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |\n| α | 60 | C | 10 | k | ∞ |","| SSC | LRSC | ENSC | KMP |\n| --- | --- | --- | --- |\n| α | τα | λλλ123 | kλ |\n| 25 | 55 | 0.10.11 | 1000.1 |\n| 200 | 100100 | 0.10.11000 | 1000.1 |\n| 120 | -- | --- | -- |\n| - | -- | --- | -- |",0]
["| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |","| α | 60 | C | 10 | k | ∞ |\n| --- | --- | --- | --- | --- | --- |\n| Vt | 0 | γ | 60 | q | 10 |\n| m0 | −400 | m1 | 400 | imin | 10 |\n| imax | 20 | ki | 10 | ks | 10 |\n| δs | 0 | δi | 0 |  |  |",1]
["| parameter | value | parameter | value | parameter | value |\n| --- | --- | --- | --- | --- | --- |\n| Ron | 10 | Roff | 1 | vc | 1 |","| 200 | 100100 | 0.10.11000 | 1000.1 |\n| --- | --- | --- | --- |\n| 120 | -- | --- | -- |\n| - | -- | --- | -- |",0]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | tableshowresult | tableexpressresult |\n| 2 | tableshowresult | tablepictureresult |\n| 3 | mapshowlocation | mappicturelocation |\n| 4 | mapshowlocation | mapexpresslocation |","| 5 | childshowinterest | childpictureinterest |\n| --- | --- | --- |\n| 6 | childshowinterest | childexpressinterest |",1]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | tableshowresult | tableexpressresult |\n| 2 | tableshowresult | tablepictureresult |\n| 3 | mapshowlocation | mappicturelocation |\n| 4 | mapshowlocation | mapexpresslocation |","|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |\n| 2 | thesystemmetthecriterion | thesystemsatisﬁedthecriterion |\n| 3 | thechildmetthehouse | thechildvisitedthehouse |\n| 4 | thechildmetthehouse | thechildsatisﬁedthehouse |\n| 5 | thechildshowedinterest | thechildpicturedinterest |\n| 6 | thechildshowedinterest | thechildexpressedinterest |\n| 7 | themapshowedthelocation | themappicturedthelocation |\n| 8 | themapshowedthelocation | themapexpressedthelocation |",0]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | tableshowresult | tableexpressresult |","| 2 | tableshowresult | tablepictureresult |\n| --- | --- | --- |\n| 3 | mapshowlocation | mappicturelocation |\n| 4 | mapshowlocation | mapexpresslocation |\n| 5 | childshowinterest | childpictureinterest |\n| 6 | childshowinterest | childexpressinterest |",1]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | tableshowresult | tableexpressresult |","| 2 | thesystemmetthecriterion | thesystemsatisﬁedthecriterion |\n| --- | --- | --- |\n| 3 | thechildmetthehouse | thechildvisitedthehouse |\n| 4 | thechildmetthehouse | thechildsatisﬁedthehouse |\n| 5 | thechildshowedinterest | thechildpicturedinterest |\n| 6 | thechildshowedinterest | thechildexpressedinterest |\n| 7 | themapshowedthelocation | themappicturedthelocation |\n| 8 | themapshowedthelocation | themapexpressedthelocation |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |\n| Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |\n| Liuetal. | 0.73 | 0.68 | 0.71 |","| Tianetal. | 0.74 | 0.52 | 0.61 |\n| --- | --- | --- | --- |\n| Zhangetal. | 0.71 | 0.43 | 0.54 |\n| StradVision2 | 0.77 | 0.37 | 0.50 |\n| StradVision1 | 0.53 | 0.46 | 0.50 |\n| NJU-Text | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |\n| Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |\n| Liuetal. | 0.73 | 0.68 | 0.71 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.71 | 0.43 | 0.54 |\n| StradVision-2 | 0.77 | 0.37 | 0.50 |\n| StradVision-1 | 0.53 | 0.46 | 0.50 |\n| NJUText | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |\n| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",0]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |","| Proposed(T-NMS) | 0.81 | 0.80 | 0.80 |\n| --- | --- | --- | --- |\n| Liuetal. | 0.73 | 0.68 | 0.71 |\n| Tianetal. | 0.74 | 0.52 | 0.61 |\n| Zhangetal. | 0.71 | 0.43 | 0.54 |\n| StradVision2 | 0.77 | 0.37 | 0.50 |\n| StradVision1 | 0.53 | 0.46 | 0.50 |\n| NJU-Text | 0.70 | 0.36 | 0.47 |\n| AJOU | 0.47 | 0.47 | 0.47 |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |",1]
["| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed(R-NMS) | 0.82 | 0.80 | 0.81 |","| AJOU | 0.47 | 0.47 | 0.47 |\n| --- | --- | --- | --- |\n| HUSTMCLAB | 0.44 | 0.38 | 0.41 |\n| Deep2Text-MO | 0.50 | 0.32 | 0.39 |\n| CNNProposal | 0.35 | 0.34 | 0.35 |\n| TextCatcher-2 | 0.25 | 0.34 | 0.29 |",0]
["| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |\n| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |\n| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |\n| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |\n| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |\n| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |\n| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |\n| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |\n| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |","| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |\n| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |\n| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |\n| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |\n| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |\n| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 |",1]
["| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |\n| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |\n| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |\n| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |\n| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |\n| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |\n| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |\n| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |\n| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |","| Cube,n=100,000 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 73.24 | 235.57 | 1520 | 27520 |\n| Approx | 64.63 | 162.47 | 3210 | 16990 |\n| Har-Peled | 207.52 | 24020 | 119890 | 138240 |\n| Hybrid1 | 87.23 | 180.31 | 17960 | 15450 |\n| Hybrid2 | 87.59 | 171.43 | 11800 | 12230 |\n| Algorithm?? | 5.3 | 7.2 | 8.5 | 10.9 |\n| Algorithm??-5 | 7.33 | 9.62 | 12.14 | 14.55 |\n| Algorithm??-3 | 4.41 | 5.77 | 7.34 | 8.99 |\n| Algorithm??-2 | 2.99 | 3.89 | 4.85 | 5.9 |\n| Ball,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 68770 | 111590 | 178430 | 264660 |\n| Approx | 18550 | 48600 | 105200 | 168390 |\n| Har-Peled | 86680 | 102800 | 120200 | 137530 |\n| Hybrid1 | 93940 | 136260 | 73620 | 222960 |\n| Hybrid2 | 71350 | 100030 | 146520 | 218510 |\n| Algorithm?? | 5.5 | 6.42 | 8.12 | 9.46 |\n| Algorithm??-5 | 7.25 | 9.58 | 11.98 | 14.35 |\n| Algorithm??-3 | 4.38 | 5.87 | 7.29 | 8.64 |\n| Algorithm??-2 | 2.89 | 3.89 | 4.82 | 5.79 |\n| Ellipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 58 | 1110 | 770 | 2760 |\n| Approx | 31.9 | 504 | 589 | 1300 |\n| Har-Peled | 3040 | 109760 | 127280 | 134070 |\n| Hybrid1 | 90 | 2280 | 3240 | 5580 |\n| Hybrid2 | 98 | 2020 | 3900 | 5200 |\n| Algorithm?? | 5.21 | 6.9 | 7.28 | 9.5 |\n| Algorithm??-5 | 7.3 | 9.5 | 12.1 | 16.5 |\n| Algorithm??-3 | 4.39 | 5.79 | 7.2 | 8.6 |\n| Algorithm??-2 | 2.988 | 4.2 | 4.9 | 5.8 |\n| RegularEllipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 24 | 350 | 150 | 2280 |\n| Approx | 31.7 | 285 | 110.5 | 1440 |\n| Har-Peled | 530 | 62010 | 123720 | 133850 |\n| Hybrid1 | 71 | 308 | 3430 | 4070 |\n| Hybrid2 | 72.9 | 268 | 4590 | 119.5 |\n| Algorithm?? | 5.06 | 6.84 | 8.22 | 10.7 |\n| Algorithm??-5 | 7.3 | 11.2 | 12.2 | 17.8 |\n| Algorithm??-3 | 4.39 | 5.95 | 7.3 | 8.65 |\n| Algorithm??-2 | 2.952 | 4.05 | 4.8 | 5.8 |",0]
["| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |\n| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |\n| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |\n| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |\n| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |\n| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |\n| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |","| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |\n| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |\n| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |\n| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |\n| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |\n| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |\n| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |\n| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 |",1]
["| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |\n| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |\n| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |\n| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |\n| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |\n| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |\n| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |","| Approx | 31.9 | 504 | 589 | 1300 |\n| --- | --- | --- | --- | --- |\n| Har-Peled | 3040 | 109760 | 127280 | 134070 |\n| Hybrid1 | 90 | 2280 | 3240 | 5580 |\n| Hybrid2 | 98 | 2020 | 3900 | 5200 |\n| Algorithm?? | 5.21 | 6.9 | 7.28 | 9.5 |\n| Algorithm??-5 | 7.3 | 9.5 | 12.1 | 16.5 |\n| Algorithm??-3 | 4.39 | 5.79 | 7.2 | 8.6 |\n| Algorithm??-2 | 2.988 | 4.2 | 4.9 | 5.8 |\n| RegularEllipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 24 | 350 | 150 | 2280 |\n| Approx | 31.7 | 285 | 110.5 | 1440 |\n| Har-Peled | 530 | 62010 | 123720 | 133850 |\n| Hybrid1 | 71 | 308 | 3430 | 4070 |\n| Hybrid2 | 72.9 | 268 | 4590 | 119.5 |\n| Algorithm?? | 5.06 | 6.84 | 8.22 | 10.7 |\n| Algorithm??-5 | 7.3 | 11.2 | 12.2 | 17.8 |\n| Algorithm??-3 | 4.39 | 5.95 | 7.3 | 8.65 |\n| Algorithm??-2 | 2.952 | 4.05 | 4.8 | 5.8 |",0]
["| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |","| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 |\n| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |\n| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |",1]
["| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |","| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite |\n| --- | --- | --- | --- |\n| 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 103 | 10 | 89 | TLSRSAWITHAES128CBCSHA |\n| 372 | 155 | 3 | TLSECDHERSAWITHAES128GCMSHA256 |\n| 1152 | 225 | 52 | TLSRSAWITH3DESEDECBCSHA |\n| 275 | 128 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 564 | 118 | 16 | TLSRSAWITHRC4128SHA |\n| 1,200 | 323 | 4 | TLSRSAWITH3DESEDECBCSHA |\n| 218 | 90 | 0 | TLSECDHERSAWITHAES128GCMSHA256 |\n| 2,618 | 700 | 22 | TLSECDHERSAWITHAES256CBCSHA |\n| 205 | 26 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA |\n| 891 | 37 | 155 | TLSRSAWITHRC4128MD5 |\n| 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 |\n| 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 337 | 51 | 0 | TLSRSAWITHRC4128SHA |\n| 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 |\n| 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA |",0]
["| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |\n| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |","| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |\n| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |",1]
["| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |\n| --- | --- | --- | --- | --- | --- | --- |\n| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |\n| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |","| 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA |\n| --- | --- | --- | --- |\n| 891 | 37 | 155 | TLSRSAWITHRC4128MD5 |\n| 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 |\n| 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA |\n| 337 | 51 | 0 | TLSRSAWITHRC4128SHA |\n| 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 |\n| 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA |",0]
["| n | xandx12 | xthroughx3n | xn+1 |\n| --- | --- | --- | --- |\n| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |\n| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |","| 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 |\n| --- | --- | --- | --- |\n| 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 |\n| 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 |\n| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 |\n| 9 | 8.88747045789415 | 12.002823667602273 | 5.867063400774457 |\n| 10 | 9.951267362449125 | 13.41863151261787 | 6.576885724382338 |",1]
["| n | xandx12 | xthroughx3n | xn+1 |\n| --- | --- | --- | --- |\n| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |\n| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |","| i | xandx12 | xthroughx3i |\n| --- | --- | --- |\n| 3 | 2.127480103088468 | 2.715029663803688 |\n| 4 | 3.2023557495551507 | 4.175556640172782 |\n| 5 | 4.270167577054796 | 5.608618419590356 |\n| 6 | 5.335126162486634 | 7.033301794415261 |\n| 7 | 6.3986555212789265 | 8.454218195486414 |\n| 8 | 7.461367172755974 | 9.873101560726544 |\n| 9 | 8.52356722480373 | 11.290758818589284 |\n| 10 | 9.585425903496056 | 12.707618366991161 |",0]
["| n | xandx12 | xthroughx3n | xn+1 |\n| --- | --- | --- | --- |\n| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |\n| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |\n| 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 |\n| 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 |\n| 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 |\n| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 |","| 9 | 8.88747045789415 | 12.002823667602273 | 5.867063400774457 |\n| --- | --- | --- | --- |\n| 10 | 9.951267362449125 | 13.41863151261787 | 6.576885724382338 |",1]
["| n | xandx12 | xthroughx3n | xn+1 |\n| --- | --- | --- | --- |\n| 3 | 2.4556264573869506 | 3.5140460449331314 | 1.5613009117434562 |\n| 4 | 3.5424450202354296 | 4.920230571592636 | 2.294026685501083 |\n| 5 | 4.618609731491003 | 6.336229610465761 | 3.0154193383617174 |\n| 6 | 5.689328832275783 | 7.753335975414664 | 3.7315531287091606 |\n| 7 | 6.757011330006688 | 9.170224016158656 | 4.4448690694127775 |\n| 8 | 7.822844123284092 | 10.58670954888685 | 5.15650608100577 |","| 6 | 5.335126162486634 | 7.033301794415261 |\n| --- | --- | --- |\n| 7 | 6.3986555212789265 | 8.454218195486414 |\n| 8 | 7.461367172755974 | 9.873101560726544 |\n| 9 | 8.52356722480373 | 11.290758818589284 |\n| 10 | 9.585425903496056 | 12.707618366991161 |",0]
["| Dataset | ExclusivelyDark | MicrosoftCOCO |\n| --- | --- | --- |\n| Class | NumberofImage | Numberofimage |","| Bicycle | 652 | 603 |\n| --- | --- | --- |\n| Boat | 679 | 650 |\n| Bottle | 547 | 650 |\n| Bus | 527 | 564 |\n| Car | 638 | 650 |\n| Cat | 735 | 650 |\n| Chair | 648 | 651 |\n| Cup | 519 | 650 |\n| Dog | 801 | 650 |\n| Motorbike | 503 | 644 |\n| People | 609 | 650 |\n| Table | 505 | 650 |\n| Total | 7,363 | 7,662 |",1]
["| Dataset | ExclusivelyDark | MicrosoftCOCO |\n| --- | --- | --- |\n| Class | NumberofImage | Numberofimage |","| Dataset | Size | Dim. | No.Classes |\n| --- | --- | --- | --- |\n| Balance | 625 | 4 | 3 |\n| BUPALiverDisorders | 345 | 6 | 2 |\n| Diabetes | 768 | 8 | 2 |\n| Sonar | 208 | 60 | 2 |\n| Wine | 178 | 13 | 3 |\n| Cho’sgene | 307 | 100 | 5 |",0]
["| Dataset | ExclusivelyDark | MicrosoftCOCO |\n| --- | --- | --- |\n| Class | NumberofImage | Numberofimage |\n| Bicycle | 652 | 603 |\n| Boat | 679 | 650 |\n| Bottle | 547 | 650 |\n| Bus | 527 | 564 |\n| Car | 638 | 650 |\n| Cat | 735 | 650 |\n| Chair | 648 | 651 |\n| Cup | 519 | 650 |\n| Dog | 801 | 650 |\n| Motorbike | 503 | 644 |\n| People | 609 | 650 |","| Table | 505 | 650 |\n| --- | --- | --- |\n| Total | 7,363 | 7,662 |",1]
["| Dataset | ExclusivelyDark | MicrosoftCOCO |\n| --- | --- | --- |\n| Class | NumberofImage | Numberofimage |\n| Bicycle | 652 | 603 |\n| Boat | 679 | 650 |\n| Bottle | 547 | 650 |\n| Bus | 527 | 564 |\n| Car | 638 | 650 |\n| Cat | 735 | 650 |\n| Chair | 648 | 651 |\n| Cup | 519 | 650 |\n| Dog | 801 | 650 |\n| Motorbike | 503 | 644 |\n| People | 609 | 650 |","| BUPALiverDisorders | 345 | 6 | 2 |\n| --- | --- | --- | --- |\n| Diabetes | 768 | 8 | 2 |\n| Sonar | 208 | 60 | 2 |\n| Wine | 178 | 13 | 3 |\n| Cho’sgene | 307 | 100 | 5 |",0]
["| Description | Count |\n| --- | --- |\n| Requests | 252036 |\n| Responses | 251802 |","| URLsaccessed | 503838 |\n| --- | --- |\n| DistinctURLs | 201628 |\n| Distincthosts | 9580 |\n| Distincthosts(combined) | 8601 |",1]
["| Description | Count |\n| --- | --- |\n| Requests | 252036 |\n| Responses | 251802 |","|  | Counts |\n| --- | --- |\n| UniqueURLsCrawled | 1,113,653 |\n| UniqueDomainsCrawled | 329,575 |\n| UniqueFilteredURLs | 115,337 |\n| UniquePoisoneddomains | 1355 |\n| FilteredURLs/1000URLscrawled | 103.57 |\n| Poisoneddomains/1000domainscrawled | 4.11 |",0]
["| Description | Count |\n| --- | --- |\n| Requests | 252036 |\n| Responses | 251802 |","| URLsaccessed | 503838 |\n| --- | --- |\n| DistinctURLs | 201628 |\n| Distincthosts | 9580 |\n| Distincthosts(combined) | 8601 |",1]
["| Description | Count |\n| --- | --- |\n| Requests | 252036 |\n| Responses | 251802 |","| UniqueFilteredURLs | 115,337 |\n| --- | --- |\n| UniquePoisoneddomains | 1355 |\n| FilteredURLs/1000URLscrawled | 103.57 |\n| Poisoneddomains/1000domainscrawled | 4.11 |",0]
["| dim | Market-1501 | CUHK03 |\n| --- | --- | --- |\n| 151020mAP | 151020 |  |","| 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 |\n| --- | --- | --- |\n| 4,096<br>751<br>2,048<br>751 | 52.2271.5378.9585.0428.95<br>51.1072.2479.4885.6029.91<br>64.4979.4885.0788.9538.16<br>62.2078.3683.7688.8437.91 | 39.9071.4082.3090.00<br>42.3075.0584.3592.00<br>36.9068.4078.7086.70<br>41.7072.7084.2092.50 |\n| 8,206<br>751<br>4,108<br>751 | 64.6182.0787.8391.7538.95<br>65.6882.5187.8991.6341.12<br>78.6590.2693.5995.6953.87<br>75.1288.2792.2894.7751.57 | 59.8085.3591.8595.85<br>62.4088.0093.7096.50<br>57.1084.6091.4096.20<br>61.5089.3094.5097.60 |",1]
["| dim | Market-1501 | CUHK03 |\n| --- | --- | --- |\n| 151020mAP | 151020 |  |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| dim | Market-1501 | CUHK03 |\n| --- | --- | --- |\n| 151020mAP | 151020 |  |\n| 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 |","| 4,096<br>751<br>2,048<br>751 | 52.2271.5378.9585.0428.95<br>51.1072.2479.4885.6029.91<br>64.4979.4885.0788.9538.16<br>62.2078.3683.7688.8437.91 | 39.9071.4082.3090.00<br>42.3075.0584.3592.00<br>36.9068.4078.7086.70<br>41.7072.7084.2092.50 |\n| --- | --- | --- |\n| 8,206<br>751<br>4,108<br>751 | 64.6182.0787.8391.7538.95<br>65.6882.5187.8991.6341.12<br>78.6590.2693.5995.6953.87<br>75.1288.2792.2894.7751.57 | 59.8085.3591.8595.85<br>62.4088.0093.7096.50<br>57.1084.6091.4096.20<br>61.5089.3094.5097.60 |",1]
["| dim | Market-1501 | CUHK03 |\n| --- | --- | --- |\n| 151020mAP | 151020 |  |\n| 4,096<br>751<br>2,048<br>751 | 55.4976.2883.5588.9832.36<br>53.6575.4882.9388.5131.60<br>73.0287.4491.2494.7047.62<br>70.5884.9590.0293.5345.84 | 57.1583.5090.8595.70<br>58.8085.8091.9096.25<br>51.6079.6087.7095.00<br>54.8084.2091.7097.60 |","| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| Datasets | #images#queries#descriptorsEvaluation |\n| --- | --- |\n| Holidays | 14915004,455,091mAP |","| Oxford | 50635512,534,635mAP |\n| --- | --- |\n| Ukbench | 102001020019,415,079N-Sscore |\n| MirFlickr1M | 1,000,000-502,115,988- |",1]
["| Datasets | #images#queries#descriptorsEvaluation |\n| --- | --- |\n| Holidays | 14915004,455,091mAP |","| Dataset | #Images | #Subjects |\n| --- | --- | --- |\n| AWE | 1000 | 100 |\n| AMI | 700 | 100 |\n| WPUT | 2071 | 501 |\n| IITD | 493 | 125 |\n| CP | 102 | 17 |\n| UERCTrain | 2304 | 166 |\n| Multi-PIEEar | 17183 | 205 |",0]
["| Datasets | #images#queries#descriptorsEvaluation |\n| --- | --- |\n| Holidays | 14915004,455,091mAP |","| Oxford | 50635512,534,635mAP |\n| --- | --- |\n| Ukbench | 102001020019,415,079N-Sscore |\n| MirFlickr1M | 1,000,000-502,115,988- |",1]
["| Datasets | #images#queries#descriptorsEvaluation |\n| --- | --- |\n| Holidays | 14915004,455,091mAP |","| AMI | 700 | 100 |\n| --- | --- | --- |\n| WPUT | 2071 | 501 |\n| IITD | 493 | 125 |\n| CP | 102 | 17 |\n| UERCTrain | 2304 | 166 |\n| Multi-PIEEar | 17183 | 205 |",0]
["| Activity | Duration(s) | GBread | GBwritten |\n| --- | --- | --- | --- |\n| reverseComplement | 11.8 | 0.15 | 0.14 |\n| words | 55.9 | 0.29 | 7.05 |\n| sortWords | 76.6 | 7.05 | 7.05 |\n| w2hd | 425.1 | 7.05 | 11.67 |\n| combineFrags | 425.8 | 0.32 | 0.16 |\n| csvGenerator | 697.8 | 0.006 | 0.004 |\n| ﬁlterHits | 2402 | 111.36 | 83.09 |","| FragHits | 3793.3 | 94.7 | 0.32 |\n| --- | --- | --- | --- |\n| sortHits | 4457.3 | 111.36 | 111.36 |\n| hits | 60058 | 455.24 | 111.36 |",1]
["| Activity | Duration(s) | GBread | GBwritten |\n| --- | --- | --- | --- |\n| reverseComplement | 11.8 | 0.15 | 0.14 |\n| words | 55.9 | 0.29 | 7.05 |\n| sortWords | 76.6 | 7.05 | 7.05 |\n| w2hd | 425.1 | 7.05 | 11.67 |\n| combineFrags | 425.8 | 0.32 | 0.16 |\n| csvGenerator | 697.8 | 0.006 | 0.004 |\n| ﬁlterHits | 2402 | 111.36 | 83.09 |","| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| Activity | Duration(s) | GBread | GBwritten |\n| --- | --- | --- | --- |\n| reverseComplement | 11.8 | 0.15 | 0.14 |\n| words | 55.9 | 0.29 | 7.05 |","| sortWords | 76.6 | 7.05 | 7.05 |\n| --- | --- | --- | --- |\n| w2hd | 425.1 | 7.05 | 11.67 |\n| combineFrags | 425.8 | 0.32 | 0.16 |\n| csvGenerator | 697.8 | 0.006 | 0.004 |\n| ﬁlterHits | 2402 | 111.36 | 83.09 |\n| FragHits | 3793.3 | 94.7 | 0.32 |\n| sortHits | 4457.3 | 111.36 | 111.36 |\n| hits | 60058 | 455.24 | 111.36 |",1]
["| Activity | Duration(s) | GBread | GBwritten |\n| --- | --- | --- | --- |\n| reverseComplement | 11.8 | 0.15 | 0.14 |\n| words | 55.9 | 0.29 | 7.05 |","| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| Parameter | Value |\n| --- | --- |\n| k(BM25parameter) | 2.8 |","| b(LeftBound)1 | 2.9 |\n| --- | --- |\n| b(RightBound)2 | 3.7 |\n| B(Growthparameter)1 | 1 |\n| B(Growthparameter)2 | 1 |\n| c(Troughcurvature) | 0.5 |",1]
["| Parameter | Value |\n| --- | --- |\n| k(BM25parameter) | 2.8 |","| Parameter | RangeofParameter |\n| --- | --- |\n| InlineRange | [100−750] |\n| CrosslineRange | [300−1250] |\n| ZRange | [0−1848] |\n| Size(km) | [24∗16] |",0]
["| Parameter | Value |\n| --- | --- |\n| k(BM25parameter) | 2.8 |\n| b(LeftBound)1 | 2.9 |\n| b(RightBound)2 | 3.7 |\n| B(Growthparameter)1 | 1 |","| B(Growthparameter)2 | 1 |\n| --- | --- |\n| c(Troughcurvature) | 0.5 |",1]
["| Parameter | Value |\n| --- | --- |\n| k(BM25parameter) | 2.8 |\n| b(LeftBound)1 | 2.9 |\n| b(RightBound)2 | 3.7 |\n| B(Growthparameter)1 | 1 |","| ZRange | [0−1848] |\n| --- | --- |\n| Size(km) | [24∗16] |",0]
["| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |","| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| Dense(128,activation=“relu”) |\n| Dense(64,activation=“relu”) |\n| Dense(1,activation=None) |",1]
["| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |","| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=”relu”,padding=”same”) |\n| --- |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| Dense(1024,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(512,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(1,activation=None) |",0]
["| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |","| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| Dense(128,activation=“relu”) |\n| Dense(64,activation=“relu”) |\n| Dense(1,activation=None) |",1]
["| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |","| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| --- |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| Dense(1024,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(512,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(1,activation=None) |",0]
["| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |\n| --- | --- | --- | --- | --- | --- |\n| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |","| Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |\n| --- | --- | --- | --- | --- | --- |\n| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",1]
["| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |\n| --- | --- | --- | --- | --- | --- |\n| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |","| PE | skewness | kurtosis |\n| --- | --- | --- |\n| 0.02 | 0.1502 | 0.0206 |\n| 0.04 | 0.1007 | 0.0081 |\n| 0.08 | 0.0637 | 0.0021 |\n| 0.1 | 0.0537 | 0.0009 |\n| 0.2 | 0.0271 | -0.0012 |\n| 0.3 | 0.0140 | -0.0017 |\n| 0.4 | 0.0056 | -0.0019 |\n| 0.5 | -0.0004 | -0.0020 |\n| 0.6 | -0.0050 | -0.0021 |\n| 0.7 | -0.0086 | -0.0021 |\n| 0.8 | -0.0116 | -0.0022 |\n| 0.9 | -0.0141 | -0.0022 |",0]
["| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |\n| --- | --- | --- | --- | --- | --- |\n| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |","| Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |\n| --- | --- | --- | --- | --- | --- |\n| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",1]
["| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |\n| --- | --- | --- | --- | --- | --- |\n| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |","| 0.6 | -0.0050 | -0.0021 |\n| --- | --- | --- |\n| 0.7 | -0.0086 | -0.0021 |\n| 0.8 | -0.0116 | -0.0022 |\n| 0.9 | -0.0141 | -0.0022 |",0]
["| k=250 | k=500 | k=1000 |  |\n| --- | --- | --- | --- |\n| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |","| us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h |\n| --- | --- | --- | --- |\n| Cus | 0.12min+11.36h | 0.19min+17.22h | 0.52min+58.46h |\n| CSC | 2.34min+9.74h | 3.73min+21.07h | 2.61min+35.47h |",1]
["| k=250 | k=500 | k=1000 |  |\n| --- | --- | --- | --- |\n| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |","| K=1000 | C2F | C2F+wt |\n| --- | --- | --- |\n| 0 | 82.25 | 86.78 |\n| 1000 | 80.23 | 83.95 |\n| 10,000 | 77.36 | 79.30 |\n| 100,000 | 71.64 | 72.73 |\n| 500,000 | 68.39 | 69.41 |\n| 1,000,000 | 67.26 | 69.15 |",0]
["| k=250 | k=500 | k=1000 |  |\n| --- | --- | --- | --- |\n| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |\n| us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h |","| Cus | 0.12min+11.36h | 0.19min+17.22h | 0.52min+58.46h |\n| --- | --- | --- | --- |\n| CSC | 2.34min+9.74h | 3.73min+21.07h | 2.61min+35.47h |",1]
["| k=250 | k=500 | k=1000 |  |\n| --- | --- | --- | --- |\n| SC | 14.37min+2.13h | 25.09min+14.96h | 55.63min+106.87h |\n| us | 0.12min+2.55h | 0.19min+22.75h | 0.52min+104.82h |","| 1000 | 80.23 | 83.95 |\n| --- | --- | --- |\n| 10,000 | 77.36 | 79.30 |\n| 100,000 | 71.64 | 72.73 |\n| 500,000 | 68.39 | 69.41 |\n| 1,000,000 | 67.26 | 69.15 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |","| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 |","| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 |","| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 |",0]
["| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |\n| --- | --- | --- | --- | --- | --- |\n| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |\n| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |","| Premise | 0.009 | 0.168 | 0.679 | 0.019 | 0.123 |\n| --- | --- | --- | --- | --- | --- |\n| PSIC | 0.009 | 0.126 | 0.209 | 0.453 | 0.200 |\n| NA | 0.058 | 0.173 | 0.273 | 0.416 | 0.453 |\n| SentencesCorpus | MC | Claim | Premise | PSIC | NA |\n| MC | 0.800 | 0.088 | 0.026 | 0.002 | 0.082 |\n| Claim | 0.012 | 0.877 | 0.074 | 0.002 | 0.035 |\n| Premise | 0.006 | 0.118 | 0.781 | 0.010 | 0.086 |\n| PSIC | 0.007 | 0.037 | 0.123 | 0.673 | 0.160 |\n| NA | 0.050 | 0.154 | 0.234 | 0.035 | 0.528 |",1]
["| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |\n| --- | --- | --- | --- | --- | --- |\n| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |\n| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |","| Method | Rating | Setup1 | Setup2 |\n| --- | --- | --- | --- |\n| Likert | naturalness | 0.07 | 0.12 |\n| quality | 0.02 | 0.41* |  |\n| informativeness | 0.93* | 0.78* |  |\n| PlainME | naturalness | -0.03 | 0.27* |\n| quality | 0.22* | 0.60* |  |\n| informativeness | 0.59* | 0.79* |  |\n| RankME | naturalness | 0.11 | 0.42* |\n| quality | 0.10 | 0.68* |  |\n| informativeness | 0.72* | 0.82* |  |",0]
["| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |\n| --- | --- | --- | --- | --- | --- |\n| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |\n| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |","| Premise | 0.009 | 0.168 | 0.679 | 0.019 | 0.123 |\n| --- | --- | --- | --- | --- | --- |\n| PSIC | 0.009 | 0.126 | 0.209 | 0.453 | 0.200 |\n| NA | 0.058 | 0.173 | 0.273 | 0.416 | 0.453 |\n| SentencesCorpus | MC | Claim | Premise | PSIC | NA |\n| MC | 0.800 | 0.088 | 0.026 | 0.002 | 0.082 |\n| Claim | 0.012 | 0.877 | 0.074 | 0.002 | 0.035 |\n| Premise | 0.006 | 0.118 | 0.781 | 0.010 | 0.086 |\n| PSIC | 0.007 | 0.037 | 0.123 | 0.673 | 0.160 |\n| NA | 0.050 | 0.154 | 0.234 | 0.035 | 0.528 |",1]
["| ReviewsCorpus | MC | Claim | Premise | PSIC | NA |\n| --- | --- | --- | --- | --- | --- |\n| MC | 0.481 | 0.262 | 0.067 | 0.005 | 0.183 |\n| Claim | 0.031 | 0.755 | 0.139 | 0.009 | 0.064 |","| informativeness | 0.59* | 0.79* |  |\n| --- | --- | --- | --- |\n| RankME | naturalness | 0.11 | 0.42* |\n| quality | 0.10 | 0.68* |  |\n| informativeness | 0.72* | 0.82* |  |",0]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | Final,wetbrush | teethdirty,tapoﬀ | Af:tap | Turnontap |","| 2 | Final,wetbrush | teethdirty,brushonsurface | Rn:brushonsurface | Takebrushfromsurface |\n| --- | --- | --- | --- | --- |\n| 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup |\n| 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush |",1]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | Final,wetbrush | teethdirty,tapoﬀ | Af:tap | Turnontap |","| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | HandsClean,HandsWashed | handscdirty | Af:dispenser | Latherhands |\n| 2 | HandsClean,HandsWashed | tapoﬀ | Rn:tapoﬀ | Turnontap |\n| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |\n| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |\n| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnoﬀtap |\n| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoﬀ | Af:handswashed | Taskcomplete |",0]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | Final,wetbrush | teethdirty,tapoﬀ | Af:tap | Turnontap |","| 2 | Final,wetbrush | teethdirty,brushonsurface | Rn:brushonsurface | Takebrushfromsurface |\n| --- | --- | --- | --- | --- |\n| 3 | Final,wetbrush | teethdirty,brushincup | Rn:brushincup | Takebrushfromcup |\n| 4 | Final,wetbrush | teethdirty,tapon,brushinhand | Af:water | Wetbrush |",1]
["| IU | Goals | TaskStates | Abilities | Behaviours |\n| --- | --- | --- | --- | --- |\n| 1 | Final,wetbrush | teethdirty,tapoﬀ | Af:tap | Turnontap |","| 3 | HandsClean,HandsWashed | handscsoapy,tapon | Af:water | Rinsehands |\n| --- | --- | --- | --- | --- |\n| 4 | HandsClean,HandsWashed | handscclean,handswwet | Af:towel | Dryhands |\n| 5 | HandsClean,HandsWashed | handscclean,tapon | Rn:tapon | Turnoﬀtap |\n| 6 | HandsClean,HandsWashed | handscclean,handswdry<br>tapoﬀ | Af:handswashed | Taskcomplete |",0]
["| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |","| 44 | foodfruit | 0.6725 | 0.2425 |\n| --- | --- | --- | --- |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",1]
["| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |","| R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.0899021679 | 0.06 |\n| 5 | autographshore | 0.0742552483 | 0.11 |\n| 9 | asylumfruit | 0.0720444643 | 0.07 |\n| 12 | boyrooster | 0.0907164485 | 0.16 |\n| 17 | coastforest | 0.1106378337 | 0.26 |\n| 21 | boysage | 0.2017739882 | 0.16 |\n| 25 | forestgraveyard | 0.2015952767 | 0.33 |\n| 29 | birdwoodland | 0.1651985693 | 0.12 |\n| 33 | hillwoodland | 0.2918421392 | 0.29 |\n| 37 | magicianoracle | 0.3057403627 | 0.2 |\n| 41 | oraclesage | 0.5279307332 | 0.09 |\n| 47 | furnacestove | 0.1651985693 | 0.3 |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |\n| 59 | cockrooster | 0.9093502924 | 0.94 |\n| 60 | boylad | 0.9093502924 | 0.6 |\n| 61 | cushionpillow | 0.8157293861 | 0.29 |\n| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |\n| 63 | automobilecar | 0.8185286992 | 0.52 |\n| 64 | gemjewel | 0.8175091596 | 0.65 |\n| 65 | middaynoon | 0.9993931059 | 0.93 |",0]
["| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |","| 24 | ladwizard | 0.2475 | 0.0325 |\n| --- | --- | --- | --- |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",1]
["| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |","| 5 | autographshore | 0.0742552483 | 0.11 |\n| --- | --- | --- | --- |\n| 9 | asylumfruit | 0.0720444643 | 0.07 |\n| 12 | boyrooster | 0.0907164485 | 0.16 |\n| 17 | coastforest | 0.1106378337 | 0.26 |\n| 21 | boysage | 0.2017739882 | 0.16 |\n| 25 | forestgraveyard | 0.2015952767 | 0.33 |\n| 29 | birdwoodland | 0.1651985693 | 0.12 |\n| 33 | hillwoodland | 0.2918421392 | 0.29 |\n| 37 | magicianoracle | 0.3057403627 | 0.2 |\n| 41 | oraclesage | 0.5279307332 | 0.09 |\n| 47 | furnacestove | 0.1651985693 | 0.3 |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |\n| 59 | cockrooster | 0.9093502924 | 0.94 |\n| 60 | boylad | 0.9093502924 | 0.6 |\n| 61 | cushionpillow | 0.8157293861 | 0.29 |\n| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |\n| 63 | automobilecar | 0.8185286992 | 0.52 |\n| 64 | gemjewel | 0.8175091596 | 0.65 |\n| 65 | middaynoon | 0.9993931059 | 0.93 |",0]
["| Replacedcharactersequence | Replacedby |\n| --- | --- |\n| tu | tsu |\n| ti | chi |\n| sya | sha |","| syo | sho |\n| --- | --- |\n| syu | shu |\n| zya | ja |\n| zyo | jo |\n| zyu | ju |\n| tya | cha |\n| tyo | cho |\n| tyu | chu |\n| si | shi |\n| hu | fu |\n| zi | ji |\n| jya | ja |\n| jyo | jo |\n| jyu | ju |\n| l | r |",1]
["| Replacedcharactersequence | Replacedby |\n| --- | --- |\n| tu | tsu |\n| ti | chi |\n| sya | sha |","| Token | Language |\n| --- | --- |\n| bhai | hi |\n| triple | en |\n| talaq | hi |\n| se | hi |\n| aap | hi |\n| kya | hi |\n| samjhte | hi |\n| hai | hi |\n| samjhaye | hi |\n| aap | hi |\n| zara | hi |\n| .. | rest |\n| agar | hi |\n| triple | en |\n| talaq | hi |\n| pta | hi |\n| hota | hi |\n| apko | hi |\n| toh | hi |\n| aisa | hi |\n| nhi | en |\n| kehte | hi |\n| .. | rest |",0]
["| Replacedcharactersequence | Replacedby |\n| --- | --- |\n| tu | tsu |\n| ti | chi |\n| sya | sha |\n| syo | sho |\n| syu | shu |","| zya | ja |\n| --- | --- |\n| zyo | jo |\n| zyu | ju |\n| tya | cha |\n| tyo | cho |\n| tyu | chu |\n| si | shi |\n| hu | fu |\n| zi | ji |\n| jya | ja |\n| jyo | jo |\n| jyu | ju |\n| l | r |",1]
["| Replacedcharactersequence | Replacedby |\n| --- | --- |\n| tu | tsu |\n| ti | chi |\n| sya | sha |\n| syo | sho |\n| syu | shu |","| aap | hi |\n| --- | --- |\n| zara | hi |\n| .. | rest |\n| agar | hi |\n| triple | en |\n| talaq | hi |\n| pta | hi |\n| hota | hi |\n| apko | hi |\n| toh | hi |\n| aisa | hi |\n| nhi | en |\n| kehte | hi |\n| .. | rest |",0]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |\n| no-distant | 0.70 | 0.65 | 0.674 |","| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| --- | --- | --- | --- |\n| rule | 0.80 | 0.30 | 0.436 |",1]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |\n| no-distant | 0.70 | 0.65 | 0.674 |","| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |\n| no-distant | 0.70 | 0.65 | 0.674 |\n| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| rule | 0.80 | 0.30 | 0.436 |",0]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |\n| no-distant | 0.70 | 0.65 | 0.674 |","| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| --- | --- | --- | --- |\n| rule | 0.80 | 0.30 | 0.436 |",1]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |\n| no-distant | 0.70 | 0.65 | 0.674 |","| no-distant | 0.70 | 0.65 | 0.674 |\n| --- | --- | --- | --- |\n| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| rule | 0.80 | 0.30 | 0.436 |",0]
["| Error | Frequency |\n| --- | --- |\n| Earlystart | 398 |","| Latestart | 77 |\n| --- | --- |\n| Earlyend | 116 |\n| Lateend | 115 |",1]
["| Error | Frequency |\n| --- | --- |\n| Earlystart | 398 |","| Identiﬁer | DateandTimestampofLog-on | DurationofPrecedingPowerOutage |\n| --- | --- | --- |\n| Log-on1 | 23rdFeb.23:57Z | Between381and442minutes |\n| Log-on2 | 26thFeb.14:11Z | Between295and354minutes |\n| Log-on3 | 5thMar.03:06Z | Between35and95minutes |\n| Log-on4 | 6thMar.13:29Z | Between43and103minutes |\n| Log-on5 | 6thMar.15:02Z | Between35and92minutes |\n| Log-on6 | 7thMar.12:50Z | Between228and288minutes |\n| Log-on7 | 7thMar.18:25Z | Between20and78minutes |",0]
["| Error | Frequency |\n| --- | --- |\n| Earlystart | 398 |","| Latestart | 77 |\n| --- | --- |\n| Earlyend | 116 |\n| Lateend | 115 |",1]
["| Error | Frequency |\n| --- | --- |\n| Earlystart | 398 |","| Log-on2 | 26thFeb.14:11Z | Between295and354minutes |\n| --- | --- | --- |\n| Log-on3 | 5thMar.03:06Z | Between35and95minutes |\n| Log-on4 | 6thMar.13:29Z | Between43and103minutes |\n| Log-on5 | 6thMar.15:02Z | Between35and92minutes |\n| Log-on6 | 7thMar.12:50Z | Between228and288minutes |\n| Log-on7 | 7thMar.18:25Z | Between20and78minutes |",0]
["|  | Landmarks | BeforeReg. | Aﬃne | Thin-plate | Variograms | GaussianK |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patient1 | 123 | 5.56±1.05 | 2.99±1.21 | 1.79±0.70 | 2.11±0.74 | 1.75±0.68 |","| Patient2 | 71 | 3.35±1.22 | 2.08±1.13 | 2.06±1.18 | 2.06±1.12 | 1.97±1.05 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patient3 | 49 | 2.48±1.56 | 1.93±1.75 | 1.25±1.95 | n/a | 1.23±1.77 |\n| Patient4 | 12 | 4.40±1.79 | 3.06±2.35 | 1.45±1.99 | n/a | 1.42±2.04 |\n| Patient5 | 64 | 2.91±1.33 | 1.86±1.24 | 1.29±1.17 | n/a | 1.33±1.40 |\n| Patient6 | 98 | 3.29±1.09 | 2.12±1.16 | 2.02±1.21 | 2.05±1.40 | 1.96±1.38 |",1]
["|  | Landmarks | BeforeReg. | Aﬃne | Thin-plate | Variograms | GaussianK |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patient1 | 123 | 5.56±1.05 | 2.99±1.21 | 1.79±0.70 | 2.11±0.74 | 1.75±0.68 |","| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 |\n| 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 |  |\n| 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 |  |\n| 0.81,0.14 | 0.93,0.13 | 0.87,0.11 | 0.89,0.11 | 15.0,19.6 |  |\n| 2 | 0.60,0.16 | 0.96,0.11 | 0.62,0.16 | 0.73,0.16 | 20.2,15.5 |\n| 0.64,0.16 | 0.98,0.07 | 0.66,0.16 | 0.77,0.13 | 24.3,17.9 |  |\n| 0.80,0.15 | 0.90,0.13 | 0.89,0.12 | 0.88,0.11 | 13.8,18.4 |  |\n| 0.83,0.15 | 0.91,0.12 | 0.91,0.12 | 0.90,0.11 | 13.6,20.1 |  |\n| 3 | 0.49,0.18 | 0.94,0.11 | 0.52,0.21 | 0.63,0.19 | 32.2,23.5 |\n| 0.54,0.17 | 0.97,0.10 | 0.55,0.17 | 0.68,0.15 | 31.7,20.3 |  |\n| 0.70,0.23 | 0.89,0.14 | 0.79,0.25 | 0.80,0.21 | 21.7,24.3 |  |\n| 0.77,0.17 | 0.89,0.11 | 0.85,0.16 | 0.86,0.13 | 13.8,18.2 |  |\n| 4 | 0.44,0.18 | 0.94,0.13 | 0.46,0.20 | 0.59,0.20 | 33.6,22.0 |\n| 0.47,0.15 | 0.97,0.09 | 0.48,0.16 | 0.62,0.16 | 34.5,17.9 |  |\n| 0.75,0.18 | 0.80,0.19 | 0.93,0.11 | 0.84,0.14 | 27.1,29.3 |  |\n| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 |  |\n| 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 |\n| 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 |  |\n| 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 |  |\n| 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 |  |\n| 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 |\n| 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 |  |\n| 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 |  |\n| 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 |  |\n| 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 |\n| 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 |  |\n| 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 |  |\n| 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 |  |",0]
["|  | Landmarks | BeforeReg. | Aﬃne | Thin-plate | Variograms | GaussianK |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patient1 | 123 | 5.56±1.05 | 2.99±1.21 | 1.79±0.70 | 2.11±0.74 | 1.75±0.68 |\n| Patient2 | 71 | 3.35±1.22 | 2.08±1.13 | 2.06±1.18 | 2.06±1.12 | 1.97±1.05 |","| Patient3 | 49 | 2.48±1.56 | 1.93±1.75 | 1.25±1.95 | n/a | 1.23±1.77 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patient4 | 12 | 4.40±1.79 | 3.06±2.35 | 1.45±1.99 | n/a | 1.42±2.04 |\n| Patient5 | 64 | 2.91±1.33 | 1.86±1.24 | 1.29±1.17 | n/a | 1.33±1.40 |\n| Patient6 | 98 | 3.29±1.09 | 2.12±1.16 | 2.02±1.21 | 2.05±1.40 | 1.96±1.38 |",1]
["|  | Landmarks | BeforeReg. | Aﬃne | Thin-plate | Variograms | GaussianK |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patient1 | 123 | 5.56±1.05 | 2.99±1.21 | 1.79±0.70 | 2.11±0.74 | 1.75±0.68 |\n| Patient2 | 71 | 3.35±1.22 | 2.08±1.13 | 2.06±1.18 | 2.06±1.12 | 1.97±1.05 |","| 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 |  |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 |\n| 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 |  |\n| 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 |  |\n| 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 |  |",0]
["| Code(n=2k-1,d=2k-2) | k=4 | k=8 | k=16 |\n| --- | --- | --- | --- |\n| VanillaPMMSR(non-systematic) | 50 | 75 | 87 |","| SparsePMMSR(non-systematic) | 64 | 85 | 93 |\n| --- | --- | --- | --- |\n| VanillaPMMSR(systematic) | 0 | 0 | 0 |\n| SparsePMMSR(systematic) | 50 | 75 | 88 |",1]
["| Code(n=2k-1,d=2k-2) | k=4 | k=8 | k=16 |\n| --- | --- | --- | --- |\n| VanillaPMMSR(non-systematic) | 50 | 75 | 87 |","| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| Code(n=2k-1,d=2k-2) | k=4 | k=8 | k=16 |\n| --- | --- | --- | --- |\n| VanillaPMMSR(non-systematic) | 50 | 75 | 87 |\n| SparsePMMSR(non-systematic) | 64 | 85 | 93 |","| VanillaPMMSR(systematic) | 0 | 0 | 0 |\n| --- | --- | --- | --- |\n| SparsePMMSR(systematic) | 50 | 75 | 88 |",1]
["| Code(n=2k-1,d=2k-2) | k=4 | k=8 | k=16 |\n| --- | --- | --- | --- |\n| VanillaPMMSR(non-systematic) | 50 | 75 | 87 |\n| SparsePMMSR(non-systematic) | 64 | 85 | 93 |","| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| --- | --- | --- | --- |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["|  | Typeprediction | Linkprediction |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | MCf1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |\n| Nostructural | .808 | .824 | .694 | .907 | .760 | .598 | .922 |\n| NoBOW | .796 | .833 | .652 | .902 | .728 | .543 | .912 |\n| NoEmbeddings | .827 | .874 | .695 | .911 | .750 | .581 | .918 |\n| OnlyAvgEmb* | .832 | .873 | .717 | .917 | .751 | .583 | .918 |","| OnlyMaxEmb* | .843 | .874 | .732 | .923 | .766 | .608 | .924 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OnlyMinEmb* | .838 | .878 | .719 | .918 | .763 | .602 | .924 |\n| Allfeatures | .849 | .894 | .732 | .921 | .767 | .608 | .925 |",1]
["|  | Typeprediction | Linkprediction |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | MCf1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |\n| Nostructural | .808 | .824 | .694 | .907 | .760 | .598 | .922 |\n| NoBOW | .796 | .833 | .652 | .902 | .728 | .543 | .912 |\n| NoEmbeddings | .827 | .874 | .695 | .911 | .750 | .581 | .918 |\n| OnlyAvgEmb* | .832 | .873 | .717 | .917 | .751 | .583 | .918 |","|  | Typeprediction | Linkprediction |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |\n| Simple | .817 | - | - | .663 | .478 | .848 |\n| BestEG | .869 | - | - | .693 | .502 | .884 |\n| MP+p | .831 | - | - | .720 | .546 | .894 |\n| BaseClassiﬁer | .830 | .712 | .937 | .650 | .446 | .841 |\n| ILPJointModel | .857 | .770 | .943 | .683 | .486 | .881 |\n| JointModel | .813 | .692 | .934 | .740 | .577 | .903 |",0]
["|  | Typeprediction | Linkprediction |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | MCf1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |","| Nostructural | .808 | .824 | .694 | .907 | .760 | .598 | .922 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NoBOW | .796 | .833 | .652 | .902 | .728 | .543 | .912 |\n| NoEmbeddings | .827 | .874 | .695 | .911 | .750 | .581 | .918 |\n| OnlyAvgEmb* | .832 | .873 | .717 | .917 | .751 | .583 | .918 |\n| OnlyMaxEmb* | .843 | .874 | .732 | .923 | .766 | .608 | .924 |\n| OnlyMinEmb* | .838 | .878 | .719 | .918 | .763 | .602 | .924 |\n| Allfeatures | .849 | .894 | .732 | .921 | .767 | .608 | .925 |",1]
["|  | Typeprediction | Linkprediction |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Model | Macrof1 | MCf1 | Clf1 | Prf1 | Macrof1 | Linkf1 | NoLinkf1 |","| Simple | .817 | - | - | .663 | .478 | .848 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BestEG | .869 | - | - | .693 | .502 | .884 |\n| MP+p | .831 | - | - | .720 | .546 | .894 |\n| BaseClassiﬁer | .830 | .712 | .937 | .650 | .446 | .841 |\n| ILPJointModel | .857 | .770 | .943 | .683 | .486 | .881 |\n| JointModel | .813 | .692 | .934 | .740 | .577 | .903 |",0]
["|  | Ldistance2 | Dotproduct | Cosinedistance |\n| --- | --- | --- | --- |\n| Pool3 | 57.7 | 46.0 | 61.3 |","| Pool4 | 57.7 | 47.5 | 65.0 |\n| --- | --- | --- | --- |\n| Pool5 | 38.7 | 54.7 | 60.6 |\n| fc6 | 38.7 | 59.9 | 59.9 |\n| fc7 | 48.2 | 61.3 | 52.6 |",1]
["|  | Ldistance2 | Dotproduct | Cosinedistance |\n| --- | --- | --- | --- |\n| Pool3 | 57.7 | 46.0 | 61.3 |","|  | fc7 | pool5 |\n| --- | --- | --- |\n| Baseline | 0.334 | 0.320 |\n| k=1 | 0.440 | 0.436 |\n| k=3 | 0.519 | 0.522 |\n| k=5 | 0.557 | 0.565 |",0]
["|  | Ldistance2 | Dotproduct | Cosinedistance |\n| --- | --- | --- | --- |\n| Pool3 | 57.7 | 46.0 | 61.3 |\n| Pool4 | 57.7 | 47.5 | 65.0 |\n| Pool5 | 38.7 | 54.7 | 60.6 |","| fc6 | 38.7 | 59.9 | 59.9 |\n| --- | --- | --- | --- |\n| fc7 | 48.2 | 61.3 | 52.6 |",1]
["|  | Ldistance2 | Dotproduct | Cosinedistance |\n| --- | --- | --- | --- |\n| Pool3 | 57.7 | 46.0 | 61.3 |\n| Pool4 | 57.7 | 47.5 | 65.0 |\n| Pool5 | 38.7 | 54.7 | 60.6 |","| k=3 | 0.519 | 0.522 |\n| --- | --- | --- |\n| k=5 | 0.557 | 0.565 |",0]
["| RNN/CNNcombination | WERSWB | WERCH |\n| --- | --- | --- |\n| scorefusionofCEmodels | 11.2 | 17.0 |\n| scorefusionofSTmodels | 9.4 | 16.1 |","| jointmodelfromCEmodels(ST) | 9.3 | 15.6 |\n| --- | --- | --- |\n| jointmodelfromSTmodels(ST) | 9.4 | 15.7 |",1]
["| RNN/CNNcombination | WERSWB | WERCH |\n| --- | --- | --- |\n| scorefusionofCEmodels | 11.2 | 17.0 |\n| scorefusionofSTmodels | 9.4 | 16.1 |","| Model | WERSWB | WERCH |  |  |\n| --- | --- | --- | --- | --- |\n| CE | ST | CE | ST |  |\n| CNN | 12.6 | 10.4 | 18.4 | 17.9 |\n| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |\n| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |\n| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",0]
["| RNN/CNNcombination | WERSWB | WERCH |\n| --- | --- | --- |\n| scorefusionofCEmodels | 11.2 | 17.0 |","| scorefusionofSTmodels | 9.4 | 16.1 |\n| --- | --- | --- |\n| jointmodelfromCEmodels(ST) | 9.3 | 15.6 |\n| jointmodelfromSTmodels(ST) | 9.4 | 15.7 |",1]
["| RNN/CNNcombination | WERSWB | WERCH |\n| --- | --- | --- |\n| scorefusionofCEmodels | 11.2 | 17.0 |","| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |\n| --- | --- | --- | --- | --- |\n| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",0]
["| Sequence(framenumber) | N | PSNR<br>(dB) | Withou<br>mean | Withmean |\n| --- | --- | --- | --- | --- |\n| Foreman(94) | 1 | SI | 23.75 | 28.01 |\n| Rec | 24.68 | 29.36 |  |  |\n| 2 | SI | 25.41 | 28.54 |  |\n| Rec | 26.83 | 30.93 |  |  |","| 3 | SI | 26.95 | 28.79 |  |\n| --- | --- | --- | --- | --- |\n| Rec | 29.16 | 31.96 |  |  |\n| Carphone(47) | 1 | SI | 32.24 | 33.16 |\n| Rec | 32.67 | 33.71 |  |  |\n| 2 | SI | 34.37 | 35.60 |  |\n| Rec | 35.21 | 36.80 |  |  |\n| 3 | SI | 34.58 | 35.50 |  |\n| Rec | 35.74 | 37.07 |  |  |\n| Coastguard(74) | 1 | SI | 27.08 | 27.04 |\n| Rec | 28.11 | 28.20 |  |  |\n| 2 | SI | 27.17 | 27.28 |  |\n| Rec | 29.08 | 29.35 |  |  |\n| 3 | SI | 27.19 | 26.95 |  |\n| Rec | 29.45 | 29.7 |  |  |",1]
["| Sequence(framenumber) | N | PSNR<br>(dB) | Withou<br>mean | Withmean |\n| --- | --- | --- | --- | --- |\n| Foreman(94) | 1 | SI | 23.75 | 28.01 |\n| Rec | 24.68 | 29.36 |  |  |\n| 2 | SI | 25.41 | 28.54 |  |\n| Rec | 26.83 | 30.93 |  |  |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Sequence(framenumber) | N | PSNR<br>(dB) | Withou<br>mean | Withmean |\n| --- | --- | --- | --- | --- |\n| Foreman(94) | 1 | SI | 23.75 | 28.01 |\n| Rec | 24.68 | 29.36 |  |  |\n| 2 | SI | 25.41 | 28.54 |  |\n| Rec | 26.83 | 30.93 |  |  |\n| 3 | SI | 26.95 | 28.79 |  |\n| Rec | 29.16 | 31.96 |  |  |","| Carphone(47) | 1 | SI | 32.24 | 33.16 |\n| --- | --- | --- | --- | --- |\n| Rec | 32.67 | 33.71 |  |  |\n| 2 | SI | 34.37 | 35.60 |  |\n| Rec | 35.21 | 36.80 |  |  |\n| 3 | SI | 34.58 | 35.50 |  |\n| Rec | 35.74 | 37.07 |  |  |\n| Coastguard(74) | 1 | SI | 27.08 | 27.04 |\n| Rec | 28.11 | 28.20 |  |  |\n| 2 | SI | 27.17 | 27.28 |  |\n| Rec | 29.08 | 29.35 |  |  |\n| 3 | SI | 27.19 | 26.95 |  |\n| Rec | 29.45 | 29.7 |  |  |",1]
["| Sequence(framenumber) | N | PSNR<br>(dB) | Withou<br>mean | Withmean |\n| --- | --- | --- | --- | --- |\n| Foreman(94) | 1 | SI | 23.75 | 28.01 |\n| Rec | 24.68 | 29.36 |  |  |\n| 2 | SI | 25.41 | 28.54 |  |\n| Rec | 26.83 | 30.93 |  |  |\n| 3 | SI | 26.95 | 28.79 |  |\n| Rec | 29.16 | 31.96 |  |  |","| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| ActionCategory | G3D | SVM-SW | RNN-SW | CA-RNN | JCR-RNN |\n| --- | --- | --- | --- | --- | --- |\n| Fighting | 58.54 | 76.72 | 83.28 | 94.00 | 96.18 |\n| Golf | 11.88 | 45.00 | 55.00 | 50.00 | 70.00 |\n| Tennis | 14.85 | 37.57 | 36.68 | 59.04 | 62.38 |\n| Bowling | 31.58 | 22.22 | 44.44 | 44.44 | 66.67 |","| FPS | 13.65 | 35.35 | 39.89 | 23.69 | 33.85 |\n| --- | --- | --- | --- | --- | --- |\n| Driving | 2.5 | 39.99 | 50.00 | 19.99 | 50.00 |\n| Misc | 18.13 | 53.32 | 65.24 | 73.81 | 86.19 |",1]
["| ActionCategory | G3D | SVM-SW | RNN-SW | CA-RNN | JCR-RNN |\n| --- | --- | --- | --- | --- | --- |\n| Fighting | 58.54 | 76.72 | 83.28 | 94.00 | 96.18 |\n| Golf | 11.88 | 45.00 | 55.00 | 50.00 | 70.00 |\n| Tennis | 14.85 | 37.57 | 36.68 | 59.04 | 62.38 |\n| Bowling | 31.58 | 22.22 | 44.44 | 44.44 | 66.67 |","| Action | Bloometal. | LRBM |\n| --- | --- | --- |\n| Fighting | 70.46 | 97.09 |\n| Golf | 83.37 | 81.82 |\n| Tennis | 56.44 | 84.38 |\n| Bowling | 80.78 | 61.54 |\n| FPS | 53.57 | 95.52 |\n| Driving | 84.24 | 100.00 |\n| Misc | 78.21 | 95.24 |\n| Avg. | 72.44 | 87.94 |",0]
["| ActionCategory | G3D | SVM-SW | RNN-SW | CA-RNN | JCR-RNN |\n| --- | --- | --- | --- | --- | --- |\n| Fighting | 58.54 | 76.72 | 83.28 | 94.00 | 96.18 |\n| Golf | 11.88 | 45.00 | 55.00 | 50.00 | 70.00 |\n| Tennis | 14.85 | 37.57 | 36.68 | 59.04 | 62.38 |\n| Bowling | 31.58 | 22.22 | 44.44 | 44.44 | 66.67 |","| FPS | 13.65 | 35.35 | 39.89 | 23.69 | 33.85 |\n| --- | --- | --- | --- | --- | --- |\n| Driving | 2.5 | 39.99 | 50.00 | 19.99 | 50.00 |\n| Misc | 18.13 | 53.32 | 65.24 | 73.81 | 86.19 |",1]
["| ActionCategory | G3D | SVM-SW | RNN-SW | CA-RNN | JCR-RNN |\n| --- | --- | --- | --- | --- | --- |\n| Fighting | 58.54 | 76.72 | 83.28 | 94.00 | 96.18 |\n| Golf | 11.88 | 45.00 | 55.00 | 50.00 | 70.00 |\n| Tennis | 14.85 | 37.57 | 36.68 | 59.04 | 62.38 |\n| Bowling | 31.58 | 22.22 | 44.44 | 44.44 | 66.67 |","| Tennis | 56.44 | 84.38 |\n| --- | --- | --- |\n| Bowling | 80.78 | 61.54 |\n| FPS | 53.57 | 95.52 |\n| Driving | 84.24 | 100.00 |\n| Misc | 78.21 | 95.24 |\n| Avg. | 72.44 | 87.94 |",0]
["| Tompson | Tompson |\n| --- | --- |\n| 79.6 | 82.0 |\n| Lifshitz | Gkioxary |\n| 85.0 | 86.1 |\n| Wei | Bulat |\n| 88.5 | 89.7 |","| IEF | IEF* |\n| --- | --- |\n| 81.3 | 82.9 |",1]
["| Tompson | Tompson |\n| --- | --- |\n| 79.6 | 82.0 |\n| Lifshitz | Gkioxary |\n| 85.0 | 86.1 |\n| Wei | Bulat |\n| 88.5 | 89.7 |","| Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |\n| --- | --- | --- | --- | --- | --- | --- |\n| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |\n| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |\n| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |\n|  | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |\n| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |\n| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |\n| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |\n| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |\n| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",0]
["| Tompson | Tompson |\n| --- | --- |\n| 79.6 | 82.0 |\n| Lifshitz | Gkioxary |","| 85.0 | 86.1 |\n| --- | --- |\n| Wei | Bulat |\n| 88.5 | 89.7 |\n| IEF | IEF* |\n| 81.3 | 82.9 |",1]
["| Tompson | Tompson |\n| --- | --- |\n| 79.6 | 82.0 |\n| Lifshitz | Gkioxary |","| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |\n| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |\n| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",0]
["| SVR |\n| --- |\n| MAEMSE |","| 0.4890.549 |\n| --- |\n| 0.6061.011 |\n| 0.6431.13 |\n| 0.4090.38 |\n| 0.3950.374 |",1]
["| SVR |\n| --- |\n| MAEMSE |","| Methods | MAE | AEV | RelativeF-<br>measure |\n| --- | --- | --- | --- |\n| MotionAttention | 0.4791 | 0.1280 | 0.6018 |\n| VisualAttention | 0.3842 | 0.2282 | 0.3679 |\n| SVD | 0.3639 | 0.0808 | 0.6915 |\n| ProposedCNN | 0.3212 | 0.0572 | 0.7222 |",0]
["| SVR |\n| --- |\n| MAEMSE |\n| 0.4890.549 |\n| 0.6061.011 |","| 0.6431.13 |\n| --- |\n| 0.4090.38 |\n| 0.3950.374 |",1]
["| SVR |\n| --- |\n| MAEMSE |\n| 0.4890.549 |\n| 0.6061.011 |","| VisualAttention | 0.3842 | 0.2282 | 0.3679 |\n| --- | --- | --- | --- |\n| SVD | 0.3639 | 0.0808 | 0.6915 |\n| ProposedCNN | 0.3212 | 0.0572 | 0.7222 |",0]
["| 1 | 2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| Classical | 5 | 25 | 3 | 9 | 27 | 81 |","| N=1E | 25 | 625 | 9 | 81 | 729 | 6561 |\n| --- | --- | --- | --- | --- | --- | --- |\n| N=2E | 105 | 11025 | 21 | 441 | 9261 | 194481 |\n| N=3E | 425 | 180625 | - | - | - | - |",1]
["| 1 | 2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| Classical | 5 | 25 | 3 | 9 | 27 | 81 |","| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |\n| --- | --- | --- | --- | --- |\n| Classical | 2998 | 9945 | 34029 | 131817 |\n| Barrett | 3126 | 8072 | 22779 | 72533 |\n| FirstMethod | 3965 | 8421 | 21840 | 68012 |\n| SecondMethod | 4975 | 8629 | 19946 | 58948 |",0]
["| 1 | 2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| Classical | 5 | 25 | 3 | 9 | 27 | 81 |\n| --- | --- | --- | --- | --- | --- | --- |\n| N=1E | 25 | 625 | 9 | 81 | 729 | 6561 |\n| N=2E | 105 | 11025 | 21 | 441 | 9261 | 194481 |\n| N=3E | 425 | 180625 | - | - | - | - |",1]
["| 1 | 2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| Barrett | 3126 | 8072 | 22779 | 72533 |\n| --- | --- | --- | --- | --- |\n| FirstMethod | 3965 | 8421 | 21840 | 68012 |\n| SecondMethod | 4975 | 8629 | 19946 | 58948 |",0]
["| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |\n| 82.4 | 76.8 |","| 86.4 | 82.2 |\n| --- | --- |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",1]
["| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |\n| 82.4 | 76.8 |","| 25.31 | 18.67 | 16.06 |\n| --- | --- | --- |\n| 45.20 | 21.70 | 13.78 |\n| 50.26 | 25.34 | 17.85 |\n| 58.69 | 30.93 | 21.42 |\n| 25.00 | 5.58 | 2.4 |\n| 61.19 | 36.51 | 28.20 |",0]
["| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |","| 82.4 | 76.8 |\n| --- | --- |\n| 86.4 | 82.2 |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",1]
["| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |","| 25.00 | 5.58 | 2.4 |\n| --- | --- | --- |\n| 61.19 | 36.51 | 28.20 |",0]
["| SingleQuery<br>rank-1mAP |\n| --- |\n| 44.4220.76<br>51.9026.35<br>45.5826.11<br>39.419.6<br>48.2424.43<br>55.4329.87<br>48.1529.94<br>--<br>65.8839.55 |\n| 50.8926.79<br>62.1439.61 |","| 65.0238.27<br>70.1647.45 |\n| --- |\n| 73.6951.48<br>79.5159.87 |",1]
["| SingleQuery<br>rank-1mAP |\n| --- |\n| 44.4220.76<br>51.9026.35<br>45.5826.11<br>39.419.6<br>48.2424.43<br>55.4329.87<br>48.1529.94<br>--<br>65.8839.55 |\n| 50.8926.79<br>62.1439.61 |","| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |\n| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| SingleQuery<br>rank-1mAP |\n| --- |\n| 44.4220.76<br>51.9026.35<br>45.5826.11<br>39.419.6<br>48.2424.43<br>55.4329.87<br>48.1529.94<br>--<br>65.8839.55 |","| 50.8926.79<br>62.1439.61 |\n| --- |\n| 65.0238.27<br>70.1647.45 |\n| 73.6951.48<br>79.5159.87 |",1]
["| SingleQuery<br>rank-1mAP |\n| --- |\n| 44.4220.76<br>51.9026.35<br>45.5826.11<br>39.419.6<br>48.2424.43<br>55.4329.87<br>48.1529.94<br>--<br>65.8839.55 |","| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| --- | --- | --- |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfpassive,spouseneutral→passive:notcontemplated<br>myselfpassive,spouseneutral→normal:default<br>myselfpassive,spouseneutral→upset:notcontemplated<br>myselfpassive,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfpassive,spousepassive→passive:notcontemplated<br>myselfpassive,spousepassive→normal:default<br>myselfpassive,spousepassive→upset:notcontemplated<br>myselfpassive,spousepassive→violent:notcontemplated |","| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>1<br>1<br>1 | 1−a<br>0<br>a<br>0 | myselfpassive,spouseupset→passive:notassertiveness<br>myselfpassive,spouseupset→normal:notcontemplated<br>myselfpassive,spouseupset→upset:assertiveness<br>myselfpassive,spouseupset→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 2<br>2<br>2<br>2 | 1<br>0<br>0<br>0 | myselfpassive,spouseviolent→passive:passivity(absorbingstate)<br>myselfpassive,spouseviolent→normal:notcontemplated<br>myselfpassive,spouseviolent→upset:notcontemplated<br>myselfpassive,spouseviolent→violent:notcontemplated |",1]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfpassive,spouseneutral→passive:notcontemplated<br>myselfpassive,spouseneutral→normal:default<br>myselfpassive,spouseneutral→upset:notcontemplated<br>myselfpassive,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfpassive,spousepassive→passive:notcontemplated<br>myselfpassive,spousepassive→normal:default<br>myselfpassive,spousepassive→upset:notcontemplated<br>myselfpassive,spousepassive→violent:notcontemplated |","| s | si | sj | τ(s\\|s,s)3ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>0 | s<br>0<br>1−s<br>0 | myselfupset,spouseneutral→passive:support<br>myselfupset,spouseneutral→neutral:notcontemplated<br>myselfupset,spouseneutral→upset:lackofsupport<br>myselfupset,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",0]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfpassive,spouseneutral→passive:notcontemplated<br>myselfpassive,spouseneutral→normal:default<br>myselfpassive,spouseneutral→upset:notcontemplated<br>myselfpassive,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfpassive,spousepassive→passive:notcontemplated<br>myselfpassive,spousepassive→normal:default<br>myselfpassive,spousepassive→upset:notcontemplated<br>myselfpassive,spousepassive→violent:notcontemplated |","| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>1<br>1<br>1 | 1−a<br>0<br>a<br>0 | myselfpassive,spouseupset→passive:notassertiveness<br>myselfpassive,spouseupset→normal:notcontemplated<br>myselfpassive,spouseupset→upset:assertiveness<br>myselfpassive,spouseupset→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 2<br>2<br>2<br>2 | 1<br>0<br>0<br>0 | myselfpassive,spouseviolent→passive:passivity(absorbingstate)<br>myselfpassive,spouseviolent→normal:notcontemplated<br>myselfpassive,spouseviolent→upset:notcontemplated<br>myselfpassive,spouseviolent→violent:notcontemplated |",1]
["| s | si | sj | τ(s\\|s,s)ij | Illustration |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 | myselfpassive,spouseneutral→passive:notcontemplated<br>myselfpassive,spouseneutral→normal:default<br>myselfpassive,spouseneutral→upset:notcontemplated<br>myselfpassive,spouseneutral→violent:notcontemplated |\n| -1<br>0<br>1<br>2 | -1<br>-1<br>-1<br>-1 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 | myselfpassive,spousepassive→passive:notcontemplated<br>myselfpassive,spousepassive→normal:default<br>myselfpassive,spousepassive→upset:notcontemplated<br>myselfpassive,spousepassive→violent:notcontemplated |","| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | -1<br>-1<br>-1<br>-1 | 1/2<br>1/2<br>0<br>0 | myselfupset,spousepassive→passive:mayhappen<br>myselfupset,spousepassive→neutral:mayhappen<br>myselfupset,spousepassive→upset:notcontemplated<br>myselfupset,spousepassive→violent:notcontemplated |\n| --- | --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 1<br>1<br>1<br>1 | s<br>0<br>0<br>1−s | myselfupset,spouseupset→passive:support<br>myselfupset,spouseupset→neutral:notcontemplated<br>myselfupset,spouseupset→upset:notcontemplated<br>myselfupset,spouseupset→violent:lackofsupport |\n| -1<br>0<br>1<br>2 | 1<br>1<br>1<br>1 | 2<br>2<br>2<br>2 | 0<br>0<br>1<br>0 | myselfupset,spouseviolent→passive:notcontemplated<br>myselfupset,spouseviolent→neutral:notcontemplated<br>myselfupset,spouseviolent→upset:default<br>myselfupset,spouseviolent→violent:notcontemplated |",0]
["| D | Taskset | D |\n| --- | --- | --- |\n| 0.50 | (1,5),(1,10),(4,20) | 2.00 |\n| 0.75 | (1,5),(1,10),(5,20),(4,20) | 2.25 |\n| 1.00 | (1,5),(1,10),(7,20),(7,20) | 2.50 |\n| 1.25 | (1,5),(1,10),(6,20),(6,20),(7,20) | 2.75 |\n| 1.50 | (1,5),(3,10),(6,20),(7,20),(7,20) | 3.00 |\n| 1.75 | (1,5),(2,10),(6,20),(7,20),(7,20),(7,20) | 3.25 |\n| 3.50 |  |  |","| 3.75 |\n| --- |\n| 4.00 |\n| 4.25 |",1]
["| D | Taskset | D |\n| --- | --- | --- |\n| 0.50 | (1,5),(1,10),(4,20) | 2.00 |\n| 0.75 | (1,5),(1,10),(5,20),(4,20) | 2.25 |\n| 1.00 | (1,5),(1,10),(7,20),(7,20) | 2.50 |\n| 1.25 | (1,5),(1,10),(6,20),(6,20),(7,20) | 2.75 |\n| 1.50 | (1,5),(3,10),(6,20),(7,20),(7,20) | 3.00 |\n| 1.75 | (1,5),(2,10),(6,20),(7,20),(7,20),(7,20) | 3.25 |\n| 3.50 |  |  |","| D | Taskset |\n| --- | --- |\n| 0.250 | (0.9375,5,10),(0.625,10,10) |\n| 0.375 | (1.5625,5,10),(0.625,10,10) |\n| 0.500 | (1.875,5,10),(1.25,10,10) |\n| 0.625 | (1.875,5,10),(1,5,10),(0.5,10,10) |\n| 0.750 | (1.875,5,10),(1.625,5,10),(0.5,10,10) |\n| 0.875 | (1.875,5,40),(1.75,5,40),(6,40,40) |\n| 1.000 | (1.875,5,40),(1.875,5,40),(0.5,5,40),(6,40,40) |\n| 1.125 | (1.875,5,40),(1.5,5,40),(1.3125,5,40),(6,40,40),(1.5,40,40) |\n| 1.25 | (1.875,5,40),(1.875,5,40),(1.5625,5,40),(6,40,40),(1.5,40,40) |\n| 1.375 | (1.875,5,40),(1.875,5,40),(1.875,5,40),(6,40,40),(4,40,40) |",0]
["| D | Taskset | D |\n| --- | --- | --- |\n| 0.50 | (1,5),(1,10),(4,20) | 2.00 |\n| 0.75 | (1,5),(1,10),(5,20),(4,20) | 2.25 |\n| 1.00 | (1,5),(1,10),(7,20),(7,20) | 2.50 |\n| 1.25 | (1,5),(1,10),(6,20),(6,20),(7,20) | 2.75 |\n| 1.50 | (1,5),(3,10),(6,20),(7,20),(7,20) | 3.00 |","| 1.75 | (1,5),(2,10),(6,20),(7,20),(7,20),(7,20) | 3.25 |\n| --- | --- | --- |\n| 3.50 |  |  |\n| 3.75 |  |  |\n| 4.00 |  |  |\n| 4.25 |  |  |",1]
["| D | Taskset | D |\n| --- | --- | --- |\n| 0.50 | (1,5),(1,10),(4,20) | 2.00 |\n| 0.75 | (1,5),(1,10),(5,20),(4,20) | 2.25 |\n| 1.00 | (1,5),(1,10),(7,20),(7,20) | 2.50 |\n| 1.25 | (1,5),(1,10),(6,20),(6,20),(7,20) | 2.75 |\n| 1.50 | (1,5),(3,10),(6,20),(7,20),(7,20) | 3.00 |","| 1.25 | (1.875,5,40),(1.875,5,40),(1.5625,5,40),(6,40,40),(1.5,40,40) |\n| --- | --- |\n| 1.375 | (1.875,5,40),(1.875,5,40),(1.875,5,40),(6,40,40),(4,40,40) |",0]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 24.3 | 26.0 | 27.5 | 28.8 |\n| highest-in-coverage | 20.4 | 21.5 | 23.7 | 25.3 |\n| recognizer+N-gramKSs | 20.4 | 22.5 | 23.8 | 25.2 |\n| N-gram/highest-in-coverage | 19.0 | 20.5 | 22.6 | 24.1 |","| recognizer+linguisticKSs | 17.6 | 19.6 | 21.7 | 23.5 |\n| --- | --- | --- | --- | --- |\n| allavailableKSs | 17.6 | 19.6 | 21.5 | 22.8 |\n| (lowestWEin10-best) | 11.3 | 12.0 | 13.0 | 14.0 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",1]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 24.3 | 26.0 | 27.5 | 28.8 |\n| highest-in-coverage | 20.4 | 21.5 | 23.7 | 25.3 |\n| recognizer+N-gramKSs | 20.4 | 22.5 | 23.8 | 25.2 |\n| N-gram/highest-in-coverage | 19.0 | 20.5 | 22.6 | 24.1 |","|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 28.3 | 30.4 | 31.9 | 33.7 |\n| highest-in-coverage | 26.3 | 27.4 | 30.1 | 32.2 |\n| N-gram/highest-in-coverage | 26.1 | 27.1 | 29.9 | 31.7 |\n| recognizer+N-gram | 25.3 | 27.8 | 29.7 | 31.6 |\n| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 24.3 | 26.0 | 27.5 | 28.8 |\n| highest-in-coverage | 20.4 | 21.5 | 23.7 | 25.3 |\n| recognizer+N-gramKSs | 20.4 | 22.5 | 23.8 | 25.2 |\n| N-gram/highest-in-coverage | 19.0 | 20.5 | 22.6 | 24.1 |\n| recognizer+linguisticKSs | 17.6 | 19.6 | 21.7 | 23.5 |","| allavailableKSs | 17.6 | 19.6 | 21.5 | 22.8 |\n| --- | --- | --- | --- | --- |\n| (lowestWEin10-best) | 11.3 | 12.0 | 13.0 | 14.0 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",1]
["|  | Max.length(words) |  |  |  |\n| --- | --- | --- | --- | --- |\n| Preferencemethod | 8 | 12 | 16 | ∞ |\n| (1-best) | 24.3 | 26.0 | 27.5 | 28.8 |\n| highest-in-coverage | 20.4 | 21.5 | 23.7 | 25.3 |\n| recognizer+N-gramKSs | 20.4 | 22.5 | 23.8 | 25.2 |\n| N-gram/highest-in-coverage | 19.0 | 20.5 | 22.6 | 24.1 |\n| recognizer+linguisticKSs | 17.6 | 19.6 | 21.7 | 23.5 |","| recognizer+linguisticKSs | 23.3 | 24.8 | 27.9 | 30.0 |\n| --- | --- | --- | --- | --- |\n| allavailableKSs | 23.5 | 25.4 | 28.1 | 29.9 |\n| (lowestWEin10-best) | 12.6 | 13.2 | 14.5 | 15.8 |\n| (#utterancesin10-best) | 442 | 710 | 800 | 843 |\n| (#utterances) | 506 | 818 | 936 | 1001 |",0]
["| ParentDirectionChildrenCondition |\n| --- |\n| ﬂights+from$city-frthe$city-frattributeexistsinA,$city-frisold1 |\n| leave+from$city-frthe$city-frattributeexistsinA,$city-frisnew1 |","| ﬂights+thatifatleastoneattributeismarkednew |\n| --- |\n| that+leaveif$city-fr,$date-dep,or$time-deparenew |",1]
["| ParentDirectionChildrenCondition |\n| --- |\n| ﬂights+from$city-frthe$city-frattributeexistsinA,$city-frisold1 |\n| leave+from$city-frthe$city-frattributeexistsinA,$city-frisnew1 |","|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |\n| 2 | thesystemmetthecriterion | thesystemsatisﬁedthecriterion |\n| 3 | thechildmetthehouse | thechildvisitedthehouse |\n| 4 | thechildmetthehouse | thechildsatisﬁedthehouse |\n| 5 | thechildshowedinterest | thechildpicturedinterest |\n| 6 | thechildshowedinterest | thechildexpressedinterest |\n| 7 | themapshowedthelocation | themappicturedthelocation |\n| 8 | themapshowedthelocation | themapexpressedthelocation |",0]
["| ParentDirectionChildrenCondition |\n| --- |\n| ﬂights+from$city-frthe$city-frattributeexistsinA,$city-frisold1 |","| leave+from$city-frthe$city-frattributeexistsinA,$city-frisnew1 |\n| --- |\n| ﬂights+thatifatleastoneattributeismarkednew |\n| that+leaveif$city-fr,$date-dep,or$time-deparenew |",1]
["| ParentDirectionChildrenCondition |\n| --- |\n| ﬂights+from$city-frthe$city-frattributeexistsinA,$city-frisold1 |","| 6 | thechildshowedinterest | thechildexpressedinterest |\n| --- | --- | --- |\n| 7 | themapshowedthelocation | themappicturedthelocation |\n| 8 | themapshowedthelocation | themapexpressedthelocation |",0]
["| Task | Victor | MADlib | Weka | Others |\n| --- | --- | --- | --- | --- |\n| LR |  |  | XX | N/A |\n| SVM |  | X | XX | SVMPerf:XX |","| LMF |  | X | X | N/A |\n| --- | --- | --- | --- | --- |\n| CRF |  | N/A | N/A | CRF++:XX<br>Mallet:X |",1]
["| Task | Victor | MADlib | Weka | Others |\n| --- | --- | --- | --- | --- |\n| LR |  |  | XX | N/A |\n| SVM |  | X | XX | SVMPerf:XX |","| Category | Problems |\n| --- | --- |\n| LinearAlgebra | VectorDotProduct<br>MatrixMultiplication |\n| Reduction,Scan,Sort | ArraySum<br>Scan<br>Quicksort |\n| ImageProcessing | Grayscaleconversion<br>Medianﬁltering |\n| DivideandConquer | MonteCarlo<br>PiusingSeriesSum |",0]
["| Task | Victor | MADlib | Weka | Others |\n| --- | --- | --- | --- | --- |\n| LR |  |  | XX | N/A |\n| SVM |  | X | XX | SVMPerf:XX |","| LMF |  | X | X | N/A |\n| --- | --- | --- | --- | --- |\n| CRF |  | N/A | N/A | CRF++:XX<br>Mallet:X |",1]
["| Task | Victor | MADlib | Weka | Others |\n| --- | --- | --- | --- | --- |\n| LR |  |  | XX | N/A |\n| SVM |  | X | XX | SVMPerf:XX |","| ImageProcessing | Grayscaleconversion<br>Medianﬁltering |\n| --- | --- |\n| DivideandConquer | MonteCarlo<br>PiusingSeriesSum |",0]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |","| 5 | 11 | Moods | Happy | Sad |\n| --- | --- | --- | --- | --- |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",1]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |","| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |\n| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",0]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |","| 3 | 8 | ExpressionsofEmotion | Laugh | Cry |\n| --- | --- | --- | --- | --- |\n| 4 | 7 | ExpressionsofAﬀection | Kiss | Hug |\n| 5 | 11 | Moods | Happy | Sad |\n| 6 | 8 | PartsofFace | Nose | Chin |\n| 7 | 9 | Movements | Step | Run |\n| 8 | 11 | Animals | Whale | Condor |\n| 9 | 9 | Humans | Child | Elder |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",1]
["| i | N | A | p1 | p2 |\n| --- | --- | --- | --- | --- |\n| 1 | 11 | Animals | Cat | Dog |\n| 2 | 9 | Humans | Man | Woman |","| 9 | 9 | Humans | Child | Elder |\n| --- | --- | --- | --- | --- |\n| 10 | 8 | ExpressionsofEmotion | Sigh | Moan |\n| 11 | 7 | ExpressionsofAﬀection | Caress | Present |\n| 12 | 11 | Moods | Thoughtful | Bored |\n| 13 | 8 | PartsofFace | Eye | Cheek |\n| 14 | 9 | Movements | Jump | Crawl |",0]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 17.7158 | -11.3660 | -80.1913 |\n| F | 17.5459 | -10.6024 | -78.9854 |","| Algorithm | RelativeTranslation(mm) |  |  |\n| --- | --- | --- | --- |\n| Tx | Ty | Tz |  |\n| III | 295.4183 | -232.4576 | 34.5004 |\n| F | 294.0235 | -229.8369 | 28.9739 |",1]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 17.7158 | -11.3660 | -80.1913 |\n| F | 17.5459 | -10.6024 | -78.9854 |","| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| IV | 17.4883 | -10.5185 | -79.2551 |\n| F | 17.5459 | -10.6024 | -78.9854 |\n| Algorithm | RelativeTranslation(mm) |  |  |\n| Tx | Ty | Tz |  |\n| IV | 295.9218 | -220.6804 | 11.5566 |\n| F | 294.0235 | -229.8369 | 28.9739 |",0]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 17.7158 | -11.3660 | -80.1913 |","| F | 17.5459 | -10.6024 | -78.9854 |\n| --- | --- | --- | --- |\n| Algorithm | RelativeTranslation(mm) |  |  |\n| Tx | Ty | Tz |  |\n| III | 295.4183 | -232.4576 | 34.5004 |\n| F | 294.0235 | -229.8369 | 28.9739 |",1]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 17.7158 | -11.3660 | -80.1913 |","| IV | 17.4883 | -10.5185 | -79.2551 |\n| --- | --- | --- | --- |\n| F | 17.5459 | -10.6024 | -78.9854 |\n| Algorithm | RelativeTranslation(mm) |  |  |\n| Tx | Ty | Tz |  |\n| IV | 295.9218 | -220.6804 | 11.5566 |\n| F | 294.0235 | -229.8369 | 28.9739 |",0]
["|  | Betting<br>(probability<br>distribution) | Betting<br>(best<br>team) | Accuracy |\n| --- | --- | --- | --- |\n| countbaseline | 631.47 | 546.7 | 0.4531 |\n| coinﬂipbaseline | 656.60 | 513.2 | 0.4062 |\n| rankingbaseline | 642.01 | 637.7 | 0.5468 |\n| naiverankingbaseline | 637.70 | 637.7 | 0.5468 |\n| predictionmarket | 640.00 | 646.9 | 0.5625 |\n| strongpredictions | 625.38 | 591.6 | 0.5156 |\n| allpredictions | 626.86 | 651.1 | 0.5156 |\n| support | 638.02 | 696.9 | 0.5 |","| LogisticRegression | 626.54 | 610.4 | 0.5312 |\n| --- | --- | --- | --- |\n| SMOreg | 626.89 | 591.6 | 0.5156 |",1]
["|  | Betting<br>(probability<br>distribution) | Betting<br>(best<br>team) | Accuracy |\n| --- | --- | --- | --- |\n| countbaseline | 631.47 | 546.7 | 0.4531 |\n| coinﬂipbaseline | 656.60 | 513.2 | 0.4062 |\n| rankingbaseline | 642.01 | 637.7 | 0.5468 |\n| naiverankingbaseline | 637.70 | 637.7 | 0.5468 |\n| predictionmarket | 640.00 | 646.9 | 0.5625 |\n| strongpredictions | 625.38 | 591.6 | 0.5156 |\n| allpredictions | 626.86 | 651.1 | 0.5156 |\n| support | 638.02 | 696.9 | 0.5 |","| Weighted<br>Parameter | RMSEagainst<br>actualresult | RMSEagainst<br>predictionmarket |\n| --- | --- | --- |\n| 1-RMSE | 0.4154 | 0.1115 |\n| previouspredictions | 0.4131 | 0.1204 |\n| numberoffollowers | 0.4183 | 0.1148 |\n| numberoffriends | 0.4158 | 0.1124 |\n| allfouraveraged | 0.4169 | 0.1104 |\n| Trustworthiness | 0.4147 | 0.1131 |\n| non-weighted | 0.4197 | 0.1159 |\n| Betting | 0.3959 | 0.0000 |",0]
["|  | Betting<br>(probability<br>distribution) | Betting<br>(best<br>team) | Accuracy |\n| --- | --- | --- | --- |\n| countbaseline | 631.47 | 546.7 | 0.4531 |\n| coinﬂipbaseline | 656.60 | 513.2 | 0.4062 |","| rankingbaseline | 642.01 | 637.7 | 0.5468 |\n| --- | --- | --- | --- |\n| naiverankingbaseline | 637.70 | 637.7 | 0.5468 |\n| predictionmarket | 640.00 | 646.9 | 0.5625 |\n| strongpredictions | 625.38 | 591.6 | 0.5156 |\n| allpredictions | 626.86 | 651.1 | 0.5156 |\n| support | 638.02 | 696.9 | 0.5 |\n| LogisticRegression | 626.54 | 610.4 | 0.5312 |\n| SMOreg | 626.89 | 591.6 | 0.5156 |",1]
["|  | Betting<br>(probability<br>distribution) | Betting<br>(best<br>team) | Accuracy |\n| --- | --- | --- | --- |\n| countbaseline | 631.47 | 546.7 | 0.4531 |\n| coinﬂipbaseline | 656.60 | 513.2 | 0.4062 |","| allfouraveraged | 0.4169 | 0.1104 |\n| --- | --- | --- |\n| Trustworthiness | 0.4147 | 0.1131 |\n| non-weighted | 0.4197 | 0.1159 |\n| Betting | 0.3959 | 0.0000 |",0]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |","| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",1]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |","| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |\n| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |\n| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |\n| 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |\n| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |\n| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |\n| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |\n| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |\n| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |\n| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 |",0]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |","| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 |",1]
["| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |\n| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |\n| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |\n| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |\n| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |\n| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |\n| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |\n| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |\n| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |","| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |\n| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |\n| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |\n| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |\n| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |\n| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |\n| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 |",0]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.03[98.41,99.64] | 93.86[93.03,94.70] | 75.74[72.06,79.43] | 11.34[09.42,13.27] | 67.83[62.21,73.45] |","| Cataletal. | 99.63[99.32,99.93] | 95.77[95.23,96.31] | 88.76[88.12,89.41] | 46.90[44.56,49.23] | 82.10[79.28,84.93] |\n| --- | --- | --- | --- | --- | --- |\n| Kimetal. | 99.70[99.40,100.0] | 92.84[92.31,93.37] | 86.80[85.89,87.71] | 48.02[46.28,49.76] | 73.03[69.91,76.16] |\n| ChenandXue | 91.61[89.98,93.25] | 92.36[91.55,93.18] | 82.63[82.04,83.23] | − | − |\n| JiangandYin | 51.00[29.29,72.70] | − | 76.77[75.78,77.77] | − | − |\n| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |\n| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |\n| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |",1]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.03[98.41,99.64] | 93.86[93.03,94.70] | 75.74[72.06,79.43] | 11.34[09.42,13.27] | 67.83[62.21,73.45] |","|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.49[99.28,99.71] | 97.09[96.72,97.46] | 76.08[68.27,83.89] | 15.54[13.11,17.96] | 70.73[65.32,76.13] |\n| Cataletal. | 99.92[99.83,1.000] | 97.66[97.34,97.98] | 91.37[91.00,91.73] | 48.57[47.01,50.12] | 82.00[80.55,83.45] |\n| Kimetal. | 99.88[99.77,99.99] | 94.99[94.54,95.44] | 90.21[89.84,90.58] | 51.42[50.29,52.55] | 74.97[73.12,76.82] |\n| ChenandXue | 93.19[91.75,94.62] | 94.03[93.12,94.95] | 86.78[86.00,87.55] | − | − |\n| JiangandYin | 60.69[48.88,72.50] | − | 82.55[81.73,83.36] | − | − |\n| Haetal. | 92.60[91.29,93.91] | 93.42[92.74,94.10] | − | − | − |\n| HaandChoi | 84.46[82.42,86.51] | 90.68[89.93,91.43] | − | − | − |\n| MeanAccuracy | 90.03 | 94.64 | 85.39 | 38.51 | 75.90 |",0]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.03[98.41,99.64] | 93.86[93.03,94.70] | 75.74[72.06,79.43] | 11.34[09.42,13.27] | 67.83[62.21,73.45] |\n| Cataletal. | 99.63[99.32,99.93] | 95.77[95.23,96.31] | 88.76[88.12,89.41] | 46.90[44.56,49.23] | 82.10[79.28,84.93] |","| Kimetal. | 99.70[99.40,100.0] | 92.84[92.31,93.37] | 86.80[85.89,87.71] | 48.02[46.28,49.76] | 73.03[69.91,76.16] |\n| --- | --- | --- | --- | --- | --- |\n| ChenandXue | 91.61[89.98,93.25] | 92.36[91.55,93.18] | 82.63[82.04,83.23] | − | − |\n| JiangandYin | 51.00[29.29,72.70] | − | 76.77[75.78,77.77] | − | − |\n| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |\n| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |\n| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |",1]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.03[98.41,99.64] | 93.86[93.03,94.70] | 75.74[72.06,79.43] | 11.34[09.42,13.27] | 67.83[62.21,73.45] |\n| Cataletal. | 99.63[99.32,99.93] | 95.77[95.23,96.31] | 88.76[88.12,89.41] | 46.90[44.56,49.23] | 82.10[79.28,84.93] |","| JiangandYin | 60.69[48.88,72.50] | − | 82.55[81.73,83.36] | − | − |\n| --- | --- | --- | --- | --- | --- |\n| Haetal. | 92.60[91.29,93.91] | 93.42[92.74,94.10] | − | − | − |\n| HaandChoi | 84.46[82.42,86.51] | 90.68[89.93,91.43] | − | − | − |\n| MeanAccuracy | 90.03 | 94.64 | 85.39 | 38.51 | 75.90 |",0]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means(×10) | 0.043 | 0.225 | 0.015 | 6.136 | - |\n| VCA(×10) | 0.667 | 1.817 | 0.093 | 1.301 | - |","| NMF(×10) | 0.010 | 0.381 | 0.448 | 1.486 | - |\n| --- | --- | --- | --- | --- | --- |\n| LMM(×10) | 3.791 | 0.043 | 0.602 | 1.469 | - |\n| SLMM(×10) | 1.270 | 0.312 | 0.003 | 0.098 | 2.261 |",1]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means(×10) | 0.043 | 0.225 | 0.015 | 6.136 | - |\n| VCA(×10) | 0.667 | 1.817 | 0.093 | 1.301 | - |","|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means | 0.567 | 0.669 | 0.120 | 0.442 | - |\n| VCA | 0.547 | 0.481 | 0.517 | 0.248 | - |\n| NMF | 0.512 | 0.558 | 0.517 | 0.133 | - |\n| LMM | 0.437 | 0.473 | 0.349 | 0.148 | - |\n| SLMM | 0.359 | 0.495 | 0.009 | 0.128 | 0.259 |",0]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means(×10) | 0.043 | 0.225 | 0.015 | 6.136 | - |\n| VCA(×10) | 0.667 | 1.817 | 0.093 | 1.301 | - |\n| NMF(×10) | 0.010 | 0.381 | 0.448 | 1.486 | - |","| LMM(×10) | 3.791 | 0.043 | 0.602 | 1.469 | - |\n| --- | --- | --- | --- | --- | --- |\n| SLMM(×10) | 1.270 | 0.312 | 0.003 | 0.098 | 2.261 |",1]
["|  | a1 | A2:K | 1<br>M | 2:K<br>M | B |\n| --- | --- | --- | --- | --- | --- |\n| K-means(×10) | 0.043 | 0.225 | 0.015 | 6.136 | - |\n| VCA(×10) | 0.667 | 1.817 | 0.093 | 1.301 | - |\n| NMF(×10) | 0.010 | 0.381 | 0.448 | 1.486 | - |","| LMM | 0.437 | 0.473 | 0.349 | 0.148 | - |\n| --- | --- | --- | --- | --- | --- |\n| SLMM | 0.359 | 0.495 | 0.009 | 0.128 | 0.259 |",0]
["| Simulationresult<br>(methodneeded) | Virtuallab,<br>i.e.setofcomponents | Reallab,<br>device |\n| --- | --- | --- |\n| Atomicstructure<br>inbulk(TEM) | LAMMPS<br>+AtomEye | JEOLR005<br>microscope |","| Stress-strainplot<br>(AFM) | LAMMPS<br>+R | H-Ptestingmachine,<br>JEOLAFM |\n| --- | --- | --- |\n| CN,RDFplots(neutron,<br>X-rayscattering) | LAMMPS<br>+R | X-ray<br>diﬀractometer |\n| X-raydiﬀraction<br>spectrum(XRD) | LAMMPS<br>+debyer+R | SOLEIL<br>synchrotronfacility |\n| Neutrondiﬀraction<br>spectrum(ND) | LAMMPS<br>+debyer+R | SwissLightSource,<br>LargeHadronCollider |",1]
["| Simulationresult<br>(methodneeded) | Virtuallab,<br>i.e.setofcomponents | Reallab,<br>device |\n| --- | --- | --- |\n| Atomicstructure<br>inbulk(TEM) | LAMMPS<br>+AtomEye | JEOLR005<br>microscope |","| Method/Struct. | Harm.osc. | Beam | Cant.grand. | Real.grand. |\n| --- | --- | --- | --- | --- |\n| fullsystem |  |  |  |  |\n| ndof<br>nL<br>MC50<br>Freq.domain<br>Timedomain | 1<br>14<br>0.601s<br>0.106s<br>0.112s | 29<br>86<br>20.078s<br>2.672s<br>2.392s | 504<br>1512<br>380.451s<br>74.639s<br>38.915s | 4068<br>12546<br>5484s<br>4178s<br>6507s |\n| partialmodaltransform,cfequations(??),(??)and(??) |  |  |  |  |\n| neig<br>feig<br>nL<br>MC50<br>Freq.domain<br>Timedomain | –<br>–<br>–<br>–<br>–<br>– | 7<br>37Hz<br>42<br>13.240s<br>1.764s<br>1.588s | 10<br>30Hz<br>524<br>36.214s<br>4.452s<br>2.582s | 50<br>23Hz<br>4510<br>307s<br>734s<br>67s |",0]
["| Simulationresult<br>(methodneeded) | Virtuallab,<br>i.e.setofcomponents | Reallab,<br>device |\n| --- | --- | --- |\n| Atomicstructure<br>inbulk(TEM) | LAMMPS<br>+AtomEye | JEOLR005<br>microscope |\n| Stress-strainplot<br>(AFM) | LAMMPS<br>+R | H-Ptestingmachine,<br>JEOLAFM |\n| CN,RDFplots(neutron,<br>X-rayscattering) | LAMMPS<br>+R | X-ray<br>diﬀractometer |","| X-raydiﬀraction<br>spectrum(XRD) | LAMMPS<br>+debyer+R | SOLEIL<br>synchrotronfacility |\n| --- | --- | --- |\n| Neutrondiﬀraction<br>spectrum(ND) | LAMMPS<br>+debyer+R | SwissLightSource,<br>LargeHadronCollider |",1]
["| Simulationresult<br>(methodneeded) | Virtuallab,<br>i.e.setofcomponents | Reallab,<br>device |\n| --- | --- | --- |\n| Atomicstructure<br>inbulk(TEM) | LAMMPS<br>+AtomEye | JEOLR005<br>microscope |\n| Stress-strainplot<br>(AFM) | LAMMPS<br>+R | H-Ptestingmachine,<br>JEOLAFM |\n| CN,RDFplots(neutron,<br>X-rayscattering) | LAMMPS<br>+R | X-ray<br>diﬀractometer |","| ndof<br>nL<br>MC50<br>Freq.domain<br>Timedomain | 1<br>14<br>0.601s<br>0.106s<br>0.112s | 29<br>86<br>20.078s<br>2.672s<br>2.392s | 504<br>1512<br>380.451s<br>74.639s<br>38.915s | 4068<br>12546<br>5484s<br>4178s<br>6507s |\n| --- | --- | --- | --- | --- |\n| partialmodaltransform,cfequations(??),(??)and(??) |  |  |  |  |\n| neig<br>feig<br>nL<br>MC50<br>Freq.domain<br>Timedomain | –<br>–<br>–<br>–<br>–<br>– | 7<br>37Hz<br>42<br>13.240s<br>1.764s<br>1.588s | 10<br>30Hz<br>524<br>36.214s<br>4.452s<br>2.582s | 50<br>23Hz<br>4510<br>307s<br>734s<br>67s |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Time-scalefactor | TD-PSOLA | LP-PSOLA | WSOLA | SOLAFS | ESOLA |\n| --- | --- | --- | --- | --- | --- |\n| 0.5 | 74.16 | 74.15 | 1.83 | 1.73 | 0.65 |\n| 0.75 | 74.25 | 74.19 | 3.22 | 2.58 | 0.66 |","| 1.25 | 74.32 | 74.30 | 2.71 | 4.30 | 0.69 |\n| --- | --- | --- | --- | --- | --- |\n| 1.5 | 74.38 | 74.35 | 2.37 | 5.13 | 0.70 |\n| 2 | 74.41 | 74.45 | 4.59 | 6.89 | 0.91 |",1]
["| Time-scalefactor | TD-PSOLA | LP-PSOLA | WSOLA | SOLAFS | ESOLA |\n| --- | --- | --- | --- | --- | --- |\n| 0.5 | 74.16 | 74.15 | 1.83 | 1.73 | 0.65 |\n| 0.75 | 74.25 | 74.19 | 3.22 | 2.58 | 0.66 |","| Comp. | Parts | AP | Time |\n| --- | --- | --- | --- |\n| 1 | 0 | 52.3 | 2.27 |\n| 1 | 4 | 63.2 | 3.48 |\n| 1 | 8 | 64.2 | 4.84 |\n| 3 | 0 | 62.9 | 6.48 |\n| 3 | 4 | 66.7 | 12.20 |\n| 3 | 8 | 68.4 | 16.47 |\n| 5 | 0 | 64.8 | 10.25 |\n| 5 | 4 | 67.3 | 16.33 |\n| 5 | 8 | 68.7 | 22.07 |\n| 6 | 0 | 65.2 | 10.48 |\n| 8 | 0 | 66.0 | 11.17 |",0]
["| Time-scalefactor | TD-PSOLA | LP-PSOLA | WSOLA | SOLAFS | ESOLA |\n| --- | --- | --- | --- | --- | --- |\n| 0.5 | 74.16 | 74.15 | 1.83 | 1.73 | 0.65 |","| 0.75 | 74.25 | 74.19 | 3.22 | 2.58 | 0.66 |\n| --- | --- | --- | --- | --- | --- |\n| 1.25 | 74.32 | 74.30 | 2.71 | 4.30 | 0.69 |\n| 1.5 | 74.38 | 74.35 | 2.37 | 5.13 | 0.70 |\n| 2 | 74.41 | 74.45 | 4.59 | 6.89 | 0.91 |",1]
["| Time-scalefactor | TD-PSOLA | LP-PSOLA | WSOLA | SOLAFS | ESOLA |\n| --- | --- | --- | --- | --- | --- |\n| 0.5 | 74.16 | 74.15 | 1.83 | 1.73 | 0.65 |","| 5 | 4 | 67.3 | 16.33 |\n| --- | --- | --- | --- |\n| 5 | 8 | 68.7 | 22.07 |\n| 6 | 0 | 65.2 | 10.48 |\n| 8 | 0 | 66.0 | 11.17 |",0]
["| N-genusoff | Numberoff |\n| --- | --- |\n| 1 | 8 |","| 2 | 1736 |\n| --- | --- |\n| 3 | 30240 |\n| 4 | 109200 |\n| 5 | 100800 |\n| 6 | 15420 |",1]
["| N-genusoff | Numberoff |\n| --- | --- |\n| 1 | 8 |","| n | SizeofAn | n | SizeofAn |\n| --- | --- | --- | --- |\n| 0 | 16 | 8 | 3463008 |\n| 1 | 240 | 9 | 2835240 |\n| 2 | 1840 | 10 | 1337520 |\n| 3 | 17776 | 11 | 855576 |\n| 4 | 74952 | 12 | 170592 |\n| 5 | 223992 | 13 | 72216 |\n| 6 | 360540 | 14 | 42456 |\n| 7 | 1110864 | 15 | 23424 |",0]
["| N-genusoff | Numberoff |\n| --- | --- |\n| 1 | 8 |\n| 2 | 1736 |","| 3 | 30240 |\n| --- | --- |\n| 4 | 109200 |\n| 5 | 100800 |\n| 6 | 15420 |",1]
["| N-genusoff | Numberoff |\n| --- | --- |\n| 1 | 8 |\n| 2 | 1736 |","| 4 | 74952 | 12 | 170592 |\n| --- | --- | --- | --- |\n| 5 | 223992 | 13 | 72216 |\n| 6 | 360540 | 14 | 42456 |\n| 7 | 1110864 | 15 | 23424 |",0]
["|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Stmt | Mean | Stdev | Mean | Stdev | ActualCL |\n| Low | 75 | 95.87 | 12.13 | 93.87 | 13.95 | 44.42 |","| Medium | 150 | 96.12 | 8.74 | 94.73 | 8.98 | 45.41 |\n| --- | --- | --- | --- | --- | --- | --- |\n| High | 300 | 95.39 | 5.63 | 94.13 | 6.16 | 58.84 |",1]
["|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Stmt | Mean | Stdev | Mean | Stdev | ActualCL |\n| Low | 75 | 95.87 | 12.13 | 93.87 | 13.95 | 44.42 |","|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Branch | Mean | Stdev | Mean | Stdev | ActualCL |\n| Low | 25 | 87.27 | 6.98 | 82.4 | 7.62 | 98.76 |\n| Medium | 50 | 79.33 | 6.99 | 75 | 5.82 | 98.84 |\n| High | 100 | 76.57 | 8.25 | 73 | 5.76 | 94.32 |",0]
["|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Stmt | Mean | Stdev | Mean | Stdev | ActualCL |","| Low | 75 | 95.87 | 12.13 | 93.87 | 13.95 | 44.42 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Medium | 150 | 96.12 | 8.74 | 94.73 | 8.98 | 45.41 |\n| High | 300 | 95.39 | 5.63 | 94.13 | 6.16 | 58.84 |",1]
["|  |  | TestSearchTechnique |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  | GA | Random |  |  |  |\n| Cmplx | Stmt | Mean | Stdev | Mean | Stdev | ActualCL |","| Low | 25 | 87.27 | 6.98 | 82.4 | 7.62 | 98.76 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Medium | 50 | 79.33 | 6.99 | 75 | 5.82 | 98.84 |\n| High | 100 | 76.57 | 8.25 | 73 | 5.76 | 94.32 |",0]
["| Method | top-1 | top-5 | top-10 |\n| --- | --- | --- | --- |\n| Ours-cls | 75.90 | 94.55 | 97.85 |\n| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |","| Ours-L4 | 79.15 | 94.45 | 97.80 |\n| --- | --- | --- | --- |\n| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",1]
["| Method | top-1 | top-5 | top-10 |\n| --- | --- | --- | --- |\n| Ours-cls | 75.90 | 94.55 | 97.85 |\n| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |","| Method | h=4 | h=5 | h=6 | h=7 |\n| --- | --- | --- | --- | --- |\n| HierarchyCompletion |  |  |  |  |\n| Fu2014 | 0.66 | 0.42 | 0.26 | 0.21 |\n| Ours(L) | 0.70 | 0.49 | 0.45 | 0.37 |\n| Ours(LV) | 0.73 | 0.51 | 0.50 | 0.42 |\n| HierarchyConstruction |  |  |  |  |\n| Fu2014 | 0.53 | 0.33 | 0.28 | 0.18 |\n| Bansal2014 | 0.67 | 0.53 | 0.43 | 0.37 |\n| Ours(L) | 0.58 | 0.41 | 0.36 | 0.30 |\n| Ours(LB) | 0.68 | 0.55 | 0.45 | 0.40 |\n| Ours(LV) | 0.66 | 0.52 | 0.42 | 0.34 |\n| Ours(LVB-E) | 0.68 | 0.55 | 0.44 | 0.39 |\n| Ours(LVB) | 0.70 | 0.57 | 0.49 | 0.43 |",0]
["| Method | top-1 | top-5 | top-10 |\n| --- | --- | --- | --- |\n| Ours-cls | 75.90 | 94.55 | 97.85 |\n| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |","| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| --- | --- | --- | --- |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",1]
["| Method | top-1 | top-5 | top-10 |\n| --- | --- | --- | --- |\n| Ours-cls | 75.90 | 94.55 | 97.85 |\n| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |","| Bansal2014 | 0.67 | 0.53 | 0.43 | 0.37 |\n| --- | --- | --- | --- | --- |\n| Ours(L) | 0.58 | 0.41 | 0.36 | 0.30 |\n| Ours(LB) | 0.68 | 0.55 | 0.45 | 0.40 |\n| Ours(LV) | 0.66 | 0.52 | 0.42 | 0.34 |\n| Ours(LVB-E) | 0.68 | 0.55 | 0.44 | 0.39 |\n| Ours(LVB) | 0.70 | 0.57 | 0.49 | 0.43 |",0]
["| Distance(m) | Time(sec) |\n| --- | --- |\n| 0.0 | 0 |\n| 4.9 | 1 |\n| 19.6 | 2 |\n| 44.1 | 3 |\n| 78.5 | 4 |\n| 122.6 | 5 |\n| 176.5 | 6 |\n| 240.3 | 7 |\n| 313.8 | 8 |\n| 397.2 | 9 |\n| 490.3 | 10 |\n| 593.3 | 11 |\n| 706.1 | 12 |\n| 828.7 | 13 |\n| 961.1 | 14 |\n| 1103.2 | 15 |","| 1255.3 | 16 |\n| --- | --- |\n| Etc | Etc |",1]
["| Distance(m) | Time(sec) |\n| --- | --- |\n| 0.0 | 0 |\n| 4.9 | 1 |\n| 19.6 | 2 |\n| 44.1 | 3 |\n| 78.5 | 4 |\n| 122.6 | 5 |\n| 176.5 | 6 |\n| 240.3 | 7 |\n| 313.8 | 8 |\n| 397.2 | 9 |\n| 490.3 | 10 |\n| 593.3 | 11 |\n| 706.1 | 12 |\n| 828.7 | 13 |\n| 961.1 | 14 |\n| 1103.2 | 15 |","| M | RunningTime(sec) | M | RunningTime(sec) |\n| --- | --- | --- | --- |\n| 1 | −2<br>1.10×10 | 40 | −1<br>3.74×10 |\n| 2 | 2.04×10 | 50 | 4.61×10 |\n| 4 | 3.51×10 | 80 | 7.46×10 |\n| 5 | 5.01×10 | 100 | 9.32×10 |\n| 8 | 8.24×10 | 200 | 1.81 |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| Distance(m) | Time(sec) |\n| --- | --- |\n| 0.0 | 0 |\n| 4.9 | 1 |\n| 19.6 | 2 |\n| 44.1 | 3 |\n| 78.5 | 4 |\n| 122.6 | 5 |\n| 176.5 | 6 |\n| 240.3 | 7 |\n| 313.8 | 8 |\n| 397.2 | 9 |\n| 490.3 | 10 |\n| 593.3 | 11 |\n| 706.1 | 12 |","| 828.7 | 13 |\n| --- | --- |\n| 961.1 | 14 |\n| 1103.2 | 15 |\n| 1255.3 | 16 |\n| Etc | Etc |",1]
["| Distance(m) | Time(sec) |\n| --- | --- |\n| 0.0 | 0 |\n| 4.9 | 1 |\n| 19.6 | 2 |\n| 44.1 | 3 |\n| 78.5 | 4 |\n| 122.6 | 5 |\n| 176.5 | 6 |\n| 240.3 | 7 |\n| 313.8 | 8 |\n| 397.2 | 9 |\n| 490.3 | 10 |\n| 593.3 | 11 |\n| 706.1 | 12 |","| 8 | 8.24×10 | 200 | 1.81 |\n| --- | --- | --- | --- |\n| 10 | 9.02×10 | 250 | 2.41 |\n| 16 | 1.60×10 | 400 | 3.90 |\n| 20 | 1.84×10 | 500 | 5.14 |\n| 25 | 2.38×10 | 1,000 | 11.31 |",0]
["| α | PerfFTCost |\n| --- | --- |\n| 2 | .469.793.034 |\n| 16 | .479.797.035 |\n| 64 | .489.822.035 |","| 2 | .471.782.035 |\n| --- | --- |\n| 16 | .487.956.042 |\n| 64 | .548.998.054 |",1]
["| α | PerfFTCost |\n| --- | --- |\n| 2 | .469.793.034 |\n| 16 | .479.797.035 |\n| 64 | .489.822.035 |","| K | αd | αf | αs | αo | αM |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 1.5 | − | 1.5 | − | 2.8 |\n| 3 | 4.16 | − | 4.55 | − | 5.83 |\n| 4 | 8.4 | − | 10.15 | − | 11.56 |\n| 5 | 16.2 | 20.3 | 21.26 | 20.7 | 22.8 |\n| 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |\n| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |\n| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 |",0]
["| α | PerfFTCost |\n| --- | --- |\n| 2 | .469.793.034 |\n| 16 | .479.797.035 |","| 64 | .489.822.035 |\n| --- | --- |\n| 2 | .471.782.035 |\n| 16 | .487.956.042 |\n| 64 | .548.998.054 |",1]
["| α | PerfFTCost |\n| --- | --- |\n| 2 | .469.793.034 |\n| 16 | .479.797.035 |","| 6 | 30.5 | 38.5 | 43.41 | 42.95 | 45 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 57.28 | 72.1 | 87.84 | 87.35 | 89.42 |\n| 8 | 107.13 | 134.2 | 176.57 | 176.06 | 178.1 |",0]
["| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |","| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",1]
["| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |","| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |\n| Delta-nHinge | 93.4 | NA | NA | 98.4 |\n| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |","| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",1]
["| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |","| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| --- | --- | --- | --- | --- |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",0]
["|  | BMCNN-DnCNN | BMCNN-BM3D |\n| --- | --- | --- |\n| Cameraman | 30.20 | 30.03 |\n| Lena | 32.53 | 32.49 |\n| Barbara | 30.58 | 31.23 |\n| Boat | 30.25 | 30.16 |\n| Couple | 30.12 | 30.02 |\n| Fingerprint | 28.02 | 28.06 |\n| Hill | 30.00 | 30.05 |\n| House | 33.32 | 33.43 |","| Jetplane | 32.17 | 32.14 |\n| --- | --- | --- |\n| Man | 30.06 | 29.94 |\n| Montage | 33.47 | 33.31 |\n| Peppers | 30.93 | 30.78 |\n| Average | 30.97 | 30.97 |",1]
["|  | BMCNN-DnCNN | BMCNN-BM3D |\n| --- | --- | --- |\n| Cameraman | 30.20 | 30.03 |\n| Lena | 32.53 | 32.49 |\n| Barbara | 30.58 | 31.23 |\n| Boat | 30.25 | 30.16 |\n| Couple | 30.12 | 30.02 |\n| Fingerprint | 28.02 | 28.06 |\n| Hill | 30.00 | 30.05 |\n| House | 33.32 | 33.43 |","|  | BMCNN | woBMCNN | DnCNN |\n| --- | --- | --- | --- |\n| Cameraman | 30.20 | 30.08 | 30.11 |\n| Lena | 32.53 | 32.45 | 32.48 |\n| Barbara | 30.58 | 29.91 | 29.94 |\n| Boat | 30.25 | 30.17 | 30.21 |\n| Couple | 30.12 | 30.09 | 30.10 |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |\n| Jetplane | 32.17 | 32.02 | 32.06 |\n| Man | 30.06 | 30.04 | 30.06 |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",0]
["|  | BMCNN-DnCNN | BMCNN-BM3D |\n| --- | --- | --- |\n| Cameraman | 30.20 | 30.03 |\n| Lena | 32.53 | 32.49 |\n| Barbara | 30.58 | 31.23 |\n| Boat | 30.25 | 30.16 |\n| Couple | 30.12 | 30.02 |\n| Fingerprint | 28.02 | 28.06 |\n| Hill | 30.00 | 30.05 |\n| House | 33.32 | 33.43 |","| Jetplane | 32.17 | 32.14 |\n| --- | --- | --- |\n| Man | 30.06 | 29.94 |\n| Montage | 33.47 | 33.31 |\n| Peppers | 30.93 | 30.78 |\n| Average | 30.97 | 30.97 |",1]
["|  | BMCNN-DnCNN | BMCNN-BM3D |\n| --- | --- | --- |\n| Cameraman | 30.20 | 30.03 |\n| Lena | 32.53 | 32.49 |\n| Barbara | 30.58 | 31.23 |\n| Boat | 30.25 | 30.16 |\n| Couple | 30.12 | 30.02 |\n| Fingerprint | 28.02 | 28.06 |\n| Hill | 30.00 | 30.05 |\n| House | 33.32 | 33.43 |","| Couple | 30.12 | 30.09 | 30.10 |\n| --- | --- | --- | --- |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |\n| Jetplane | 32.17 | 32.02 | 32.06 |\n| Man | 30.06 | 30.04 | 30.06 |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",0]
["| Singingvoice |  |  |  |\n| --- | --- | --- | --- |\n| Method | GNSDR | GSIR | GSAR |\n| MLRR<br>DRNN<br>ModGD<br>U-Net | 3.85<br>7.45<br>7.50<br>7.43 | 5.63<br>13.08<br>13.73<br>11.79 | 10.70<br>9.68<br>9.45<br>10.42 |","| SH-1stack<br>SH-2stack<br>SH-4stack | 10.29<br>10.45<br>10.51 | 15.51<br>15.89<br>16.01 | 12.46<br>12.49<br>12.53 |\n| --- | --- | --- | --- |\n| Accompaniments |  |  |  |\n| Method | GNSDR | GSIR | GSAR |\n| MLRR<br>U-Net | 4.19<br>7.45 | 7.80<br>11.43 | 8.22<br>10.41 |\n| SH-1stack<br>SH-2stack<br>SH-4stack | 9.65<br>9.64<br>9.88 | 13.90<br>13.69<br>14.24 | 12.27<br>12.39<br>12.36 |",1]
["| Singingvoice |  |  |  |\n| --- | --- | --- | --- |\n| Method | GNSDR | GSIR | GSAR |\n| MLRR<br>DRNN<br>ModGD<br>U-Net | 3.85<br>7.45<br>7.50<br>7.43 | 5.63<br>13.08<br>13.73<br>11.79 | 10.70<br>9.68<br>9.45<br>10.42 |","|  | MusicalEnsembleGroup | NoMusicalEnsembleGroup |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Human-like | Harmony | Melody | Human-like | Harmony | Melody |\n| OdetoJoy<br>-Layered<br>HMM | 3.125 | 3.250 | 3.125 | 3.8 | 4.0 | 3.8 |\n| WeThree<br>Kings-<br>Layered<br>HMM | 3.500 | 3.125 | 3.125 | 2.4 | 1.8 | 2.2 |\n| Pachelbel’s<br>Canon-<br>TVAR(11) | 3.438 | 3.375 | 3.063 | 3.5 | 3.6 | 3.2 |",0]
["| Singingvoice |  |  |  |\n| --- | --- | --- | --- |\n| Method | GNSDR | GSIR | GSAR |","| MLRR<br>DRNN<br>ModGD<br>U-Net | 3.85<br>7.45<br>7.50<br>7.43 | 5.63<br>13.08<br>13.73<br>11.79 | 10.70<br>9.68<br>9.45<br>10.42 |\n| --- | --- | --- | --- |\n| SH-1stack<br>SH-2stack<br>SH-4stack | 10.29<br>10.45<br>10.51 | 15.51<br>15.89<br>16.01 | 12.46<br>12.49<br>12.53 |\n| Accompaniments |  |  |  |\n| Method | GNSDR | GSIR | GSAR |\n| MLRR<br>U-Net | 4.19<br>7.45 | 7.80<br>11.43 | 8.22<br>10.41 |\n| SH-1stack<br>SH-2stack<br>SH-4stack | 9.65<br>9.64<br>9.88 | 13.90<br>13.69<br>14.24 | 12.27<br>12.39<br>12.36 |",1]
["| Singingvoice |  |  |  |\n| --- | --- | --- | --- |\n| Method | GNSDR | GSIR | GSAR |","| OdetoJoy<br>-Layered<br>HMM | 3.125 | 3.250 | 3.125 | 3.8 | 4.0 | 3.8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| WeThree<br>Kings-<br>Layered<br>HMM | 3.500 | 3.125 | 3.125 | 2.4 | 1.8 | 2.2 |\n| Pachelbel’s<br>Canon-<br>TVAR(11) | 3.438 | 3.375 | 3.063 | 3.5 | 3.6 | 3.2 |",0]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |\n| AP | 29.8 | 34.2 | 35.3 | 38.7 | 40.2 | 42.0 | 44.0 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |","| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 |",1]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |\n| AP | 29.8 | 34.2 | 35.3 | 38.7 | 40.2 | 42.0 | 44.0 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |","| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |\n| AP | 34.0 | 40.4 | 43.8 | 44.3 | 45.6 | 46.0 | 49.7 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 22.2 | 29.5 | 33.6 | 36.4 | 39.3 | 44.2 | 49.7 |",0]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |","| AP | 29.8 | 34.2 | 35.3 | 38.7 | 40.2 | 42.0 | 44.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 17.6 | 25.0 | 29.3 | 32.8 | 33.8 | 38.1 | 44.0 |",1]
["| (a)Numberofrenderedviews |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 5k | 10k | 86k |","| AP | 34.0 | 40.4 | 43.8 | 44.3 | 45.6 | 46.0 | 49.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| (b)NumberofCADmodels |  |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 80 | 160 | 1393 |\n| AP | 22.2 | 29.5 | 33.6 | 36.4 | 39.3 | 44.2 | 49.7 |",0]
["| NB | Na¨ıveBayesModel |\n| --- | --- |\n| KLD | SymmetricalKullback-LeiblerDivergenceModel |\n| R | TokenType:rating,unigramordigram |\n| LR | LinkabilityRatio |\n| AR | AnonymousRecord |\n| IR | IdentiﬁedRecord(correspondingtoacertainreviewer) |\n| SymD(IR,AR)KLD | symmetricKLDdistancebetweenIRandAR |\n| SymD | symmetricKLDofratingtokens |\n| SymD | symmetricKLDofcategorytokens |","| SymD | symmetricKLDoflexical(unigramordigram)tokens |\n| --- | --- |\n| SymD | symmetricKLDofratingandcategorytokens |\n| SymD | symmetricKLDoflexical,ratingandcategorytokens |",1]
["| NB | Na¨ıveBayesModel |\n| --- | --- |\n| KLD | SymmetricalKullback-LeiblerDivergenceModel |\n| R | TokenType:rating,unigramordigram |\n| LR | LinkabilityRatio |\n| AR | AnonymousRecord |\n| IR | IdentiﬁedRecord(correspondingtoacertainreviewer) |\n| SymD(IR,AR)KLD | symmetricKLDdistancebetweenIRandAR |\n| SymD | symmetricKLDofratingtokens |\n| SymD | symmetricKLDofcategorytokens |","| Category | Numberoftokens |\n| --- | --- |\n| Avg.tokens | 22.2 |\n| Avg.entokens | 2.1 |\n| Avg.hitokens | 16.1 |\n| Avg.resttokens | 4.0 |",0]
["| NB | Na¨ıveBayesModel |\n| --- | --- |\n| KLD | SymmetricalKullback-LeiblerDivergenceModel |","| R | TokenType:rating,unigramordigram |\n| --- | --- |\n| LR | LinkabilityRatio |\n| AR | AnonymousRecord |\n| IR | IdentiﬁedRecord(correspondingtoacertainreviewer) |\n| SymD(IR,AR)KLD | symmetricKLDdistancebetweenIRandAR |\n| SymD | symmetricKLDofratingtokens |\n| SymD | symmetricKLDofcategorytokens |\n| SymD | symmetricKLDoflexical(unigramordigram)tokens |\n| SymD | symmetricKLDofratingandcategorytokens |\n| SymD | symmetricKLDoflexical,ratingandcategorytokens |",1]
["| NB | Na¨ıveBayesModel |\n| --- | --- |\n| KLD | SymmetricalKullback-LeiblerDivergenceModel |","| Avg.entokens | 2.1 |\n| --- | --- |\n| Avg.hitokens | 16.1 |\n| Avg.resttokens | 4.0 |",0]
["| LayerName | LayerType |\n| --- | --- |\n| Conv1 | Conv-ReLU |\n| Conv2 | Conv-ReLU |\n| Conv3 | Conv-ReLU |\n| Conv4 | Conv-ReLU |","| Conv5 | Conv-ReLU |\n| --- | --- |\n| FC6 | FC-dropout |\n| FC7 | FC-dropout |\n| FC8 | FC-softmax |",1]
["| LayerName | LayerType |\n| --- | --- |\n| Conv1 | Conv-ReLU |\n| Conv2 | Conv-ReLU |\n| Conv3 | Conv-ReLU |\n| Conv4 | Conv-ReLU |","| Process | LayerName | LayerType | fpoperationsperimage | Device |\n| --- | --- | --- | --- | --- |\n| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |\n| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |\n| FC7 | FC-dropout | 67108864 | K40-cudnn |  |\n| FC8 | FC-softmax | 16384000 | K40-cudnn |  |\n| FC6 | FC-dropout | 150994944 | K40-cublas |  |\n| FC7 | FC-dropout | 67108864 | K40-cublas |  |\n| FC8 | FC-softmax | 16384000 | K40-cublas |  |",0]
["| LayerName | LayerType |\n| --- | --- |\n| Conv1 | Conv-ReLU |\n| Conv2 | Conv-ReLU |\n| Conv3 | Conv-ReLU |\n| Conv4 | Conv-ReLU |\n| Conv5 | Conv-ReLU |","| FC6 | FC-dropout |\n| --- | --- |\n| FC7 | FC-dropout |\n| FC8 | FC-softmax |",1]
["| LayerName | LayerType |\n| --- | --- |\n| Conv1 | Conv-ReLU |\n| Conv2 | Conv-ReLU |\n| Conv3 | Conv-ReLU |\n| Conv4 | Conv-ReLU |\n| Conv5 | Conv-ReLU |","| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |\n| --- | --- | --- | --- | --- |\n| FC7 | FC-dropout | 67108864 | K40-cudnn |  |\n| FC8 | FC-softmax | 16384000 | K40-cudnn |  |\n| FC6 | FC-dropout | 150994944 | K40-cublas |  |\n| FC7 | FC-dropout | 67108864 | K40-cublas |  |\n| FC8 | FC-softmax | 16384000 | K40-cublas |  |",0]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Semi-supervised |  |  |  |  |  |  |\n| E-RNN | 0.21 | 0.28 | 0.37 | 0.28 | 0.16 | 0.015 |\n| EC-RNN | 0.27 | 0.38 | 0.23 | 0.30 | 0.26 | 0.023 |","| CNN-RNN | 0.21 | 0.30 | 0.21 | 0.28 | 0.22 | 0.018 |\n| --- | --- | --- | --- | --- | --- | --- |\n| A-RNN | 0.21 | 0.27 | 0.29 | 0.41 | 0.21 | 0.016 |\n| AC-RNN | 0.23 | 0.33 | 0.32 | 0.29 | 0.22 | 0.021 |\n| Supervised |  |  |  |  |  |  |\n| E-RNN | 0.20 | 0.27 | 0.37 | 0.27 | 0.16 | 0.02 |\n| EC-RNN | 0.26 | 0.39 | 0.22 | 0.30 | 0.25 | 0.02 |\n| CNN-RNN | 0.21 | 0.29 | 0.21 | 0.27 | 0.21 | 0.02 |\n| A-RNN | 0.19 | 0.27 | 0.28 | 0.38 | 0.19 | 0.02 |\n| AC-RNN | 0.22 | 0.33 | 0.31 | 0.27 | 0.22 | 0.02 |",1]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Semi-supervised |  |  |  |  |  |  |\n| E-RNN | 0.21 | 0.28 | 0.37 | 0.28 | 0.16 | 0.015 |\n| EC-RNN | 0.27 | 0.38 | 0.23 | 0.30 | 0.26 | 0.023 |","| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |\n| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |\n| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |\n| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |\n| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Semi-supervised |  |  |  |  |  |  |\n| E-RNN | 0.21 | 0.28 | 0.37 | 0.28 | 0.16 | 0.015 |\n| EC-RNN | 0.27 | 0.38 | 0.23 | 0.30 | 0.26 | 0.023 |\n| CNN-RNN | 0.21 | 0.30 | 0.21 | 0.28 | 0.22 | 0.018 |\n| A-RNN | 0.21 | 0.27 | 0.29 | 0.41 | 0.21 | 0.016 |","| AC-RNN | 0.23 | 0.33 | 0.32 | 0.29 | 0.22 | 0.021 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Supervised |  |  |  |  |  |  |\n| E-RNN | 0.20 | 0.27 | 0.37 | 0.27 | 0.16 | 0.02 |\n| EC-RNN | 0.26 | 0.39 | 0.22 | 0.30 | 0.25 | 0.02 |\n| CNN-RNN | 0.21 | 0.29 | 0.21 | 0.27 | 0.21 | 0.02 |\n| A-RNN | 0.19 | 0.27 | 0.28 | 0.38 | 0.19 | 0.02 |\n| AC-RNN | 0.22 | 0.33 | 0.31 | 0.27 | 0.22 | 0.02 |",1]
["| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Semi-supervised |  |  |  |  |  |  |\n| E-RNN | 0.21 | 0.28 | 0.37 | 0.28 | 0.16 | 0.015 |\n| EC-RNN | 0.27 | 0.38 | 0.23 | 0.30 | 0.26 | 0.023 |\n| CNN-RNN | 0.21 | 0.30 | 0.21 | 0.28 | 0.22 | 0.018 |\n| A-RNN | 0.21 | 0.27 | 0.29 | 0.41 | 0.21 | 0.016 |","| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| CIFAR10 |\n| --- |\n| 9.01 |\n| 11.15 |\n| 10.67 |","| 9.40 |\n| --- |\n| 9.21 |",1]
["| CIFAR10 |\n| --- |\n| 9.01 |\n| 11.15 |\n| 10.67 |","| CIFAR10 | MNIST | NUS-WIDE |\n| --- | --- | --- |\n|  |  |  |\n| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |\n| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |\n| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |\n| 0.4960.5800.5820.583 | 0.9250.9550.9640.965 | 0.5360.5220.5330.531 |\n| 0.3630.5280.5290.542 | 0.5420.9380.9430.944 | 0.5200.5070.5910.610 |\n| 0.2680.2820.2990.318 | 0.4930.5170.5260.559 | 0.5820.5940.6120.607 |\n| 0.2190.2280.2390.247 | 0.4070.4780.4870.506 | 0.5820.5810.5830.588 |\n| 0.1690.1610.1610.159 | 0.3010.3040.2960.287 | 0.4860.4620.4550.448 |\n| 0.1320.1240.1440.157 | 0.1760.1910.2200.305 | 0.4320.4510.4640.466 |\n| 0.2550.3300.3440.360 | 0.5260.9150.9210.926 | 0.4140.4650.4510.454 |\n| 0.2090.2270.2370.244 | 0.4550.4940.5130.526 | 0.4150.4200.4310.440 |\n| 0.1580.1630.1680.169 | 0.4040.4420.4470.460 | 0.4280.4290.4300.431 |\n| 0.1240.1250.1250.126 | 0.2900.2780.2600.254 | 0.3900.3910.3890.390 |\n| 0.1160.1210.1240.131 | 0.1620.2360.2220.276 | 0.4040.3840.3940.400 |",0]
["| CIFAR10 |\n| --- |\n| 9.01 |","| 11.15 |\n| --- |\n| 10.67 |\n| 9.40 |\n| 9.21 |",1]
["| CIFAR10 |\n| --- |\n| 9.01 |","| 0.1240.1250.1250.126 | 0.2900.2780.2600.254 | 0.3900.3910.3890.390 |\n| --- | --- | --- |\n| 0.1160.1210.1240.131 | 0.1620.2360.2220.276 | 0.4040.3840.3940.400 |",0]
["| AgentsSpeed |  |\n| --- | --- |\n| #Agents | VerySlowSlowSameFast |","| Few<br>Same<br>Many | 4.90 | 3.33 | 2.49 | 3.34 |\n| --- | --- | --- | --- | --- |\n| 4.59 | 2.91 | 1.45 | 3.48 |  |\n| 6.19 | 4.33 | 4.95 | 3.89 |  |",1]
["| AgentsSpeed |  |\n| --- | --- |\n| #Agents | VerySlowSlowSameFast |","| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 2.50 | 2.19 | 2.10 | 2.24 |\n| 2.63 | 2.52 | 2.44 | 2.55 |  |\n| 2.86 | 2.69 | 2.71 | 2.88 |  |",0]
["| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 4.90 | 3.33 | 2.49 | 3.34 |","| 4.59 | 2.91 | 1.45 | 3.48 |\n| --- | --- | --- | --- |\n| 6.19 | 4.33 | 4.95 | 3.89 |",1]
["| AgentsSpeed |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| #Agents | VerySlowSlowSameFast |  |  |  |\n| Few<br>Same<br>Many | 4.90 | 3.33 | 2.49 | 3.34 |","| 2.63 | 2.52 | 2.44 | 2.55 |\n| --- | --- | --- | --- |\n| 2.86 | 2.69 | 2.71 | 2.88 |",0]
["| Tested<br>Scheme | Classiﬁer<br>I | Classiﬁer<br>II | Classiﬁer<br>III | Classiﬁer<br>IV | Classiﬁer<br>V |\n| --- | --- | --- | --- | --- | --- |\n| (i) | O | NRS | NR | - | - |\n| (ii) | O | NRS | NS | - | - |\n| (iii) | O | NRS | RS | - | - |\n| (iv) | O | NS | RS | - | - |","| (v) | O | NS | NR | - | - |\n| --- | --- | --- | --- | --- | --- |\n| (vi) | O | RS | NR | - | - |\n| (vii) | NRS | NR | RS | - | - |\n| (viii) | NRS | NR | NS | - | - |\n| (ix) | NRS | NS | RS | - | - |\n| (x) | NS | RS | NR | - | - |\n| (xi) | O | NS | RS | NR | NRS |",1]
["| Tested<br>Scheme | Classiﬁer<br>I | Classiﬁer<br>II | Classiﬁer<br>III | Classiﬁer<br>IV | Classiﬁer<br>V |\n| --- | --- | --- | --- | --- | --- |\n| (i) | O | NRS | NR | - | - |\n| (ii) | O | NRS | NS | - | - |\n| (iii) | O | NRS | RS | - | - |\n| (iv) | O | NS | RS | - | - |","| Schemes<br>forCT | Parameters | Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) | Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) | Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) | Proof<br>of<br>Extension<br>(Type4) | Proof<br>of<br>Currency<br>(Type5) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Google | ProofSize | O(logn) | - | - | O(logn) | - |\n| CostofProof<br>Computation | O(logn) | - | - | O(logn) | - |  |\n| CostofProof<br>Veriﬁcation | O(logn) | - | - | O(logn) | - |  |\n| Ryan | ProofSize | - | - | O(logt) | O(logn) | O(logt) |\n| CostofProof<br>Computation | - | - | O(logt) | O(logn) | O(logt) |  |\n| CostofProof<br>Veriﬁcation | - | - | O(logt) | O(logn) | O(logt) |  |\n| Our<br>Scheme | ProofSize | O(logt) | O(1) | O(logt) | O(logn) | O(1) |\n| CostofProof<br>Computation | †<br>O(logt) | O(m) | O(logt) | O(logn) | O(logm) |  |\n| CostofProof<br>Veriﬁcation | †<br>O(logt) | O(1) | O(logt) | O(logn) | O(1) |  |",0]
["| Tested<br>Scheme | Classiﬁer<br>I | Classiﬁer<br>II | Classiﬁer<br>III | Classiﬁer<br>IV | Classiﬁer<br>V |\n| --- | --- | --- | --- | --- | --- |\n| (i) | O | NRS | NR | - | - |\n| (ii) | O | NRS | NS | - | - |\n| (iii) | O | NRS | RS | - | - |\n| (iv) | O | NS | RS | - | - |\n| (v) | O | NS | NR | - | - |","| (vi) | O | RS | NR | - | - |\n| --- | --- | --- | --- | --- | --- |\n| (vii) | NRS | NR | RS | - | - |\n| (viii) | NRS | NR | NS | - | - |\n| (ix) | NRS | NS | RS | - | - |\n| (x) | NS | RS | NR | - | - |\n| (xi) | O | NS | RS | NR | NRS |",1]
["| Tested<br>Scheme | Classiﬁer<br>I | Classiﬁer<br>II | Classiﬁer<br>III | Classiﬁer<br>IV | Classiﬁer<br>V |\n| --- | --- | --- | --- | --- | --- |\n| (i) | O | NRS | NR | - | - |\n| (ii) | O | NRS | NS | - | - |\n| (iii) | O | NRS | RS | - | - |\n| (iv) | O | NS | RS | - | - |\n| (v) | O | NS | NR | - | - |","| Our<br>Scheme | ProofSize | O(logt) | O(1) | O(logt) | O(logn) | O(1) |\n| --- | --- | --- | --- | --- | --- | --- |\n| CostofProof<br>Computation | †<br>O(logt) | O(m) | O(logt) | O(logn) | O(logm) |  |\n| CostofProof<br>Veriﬁcation | †<br>O(logt) | O(1) | O(logt) | O(logn) | O(1) |  |",0]
["| Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |\n| --- | --- | --- | --- | --- | --- | --- |\n| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |\n| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |\n| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |\n|  | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |\n| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |\n| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |","| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |\n| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",1]
["| Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |\n| --- | --- | --- | --- | --- | --- | --- |\n| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |\n| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |\n| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |\n|  | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |\n| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |\n| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["| Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |\n| --- | --- | --- | --- | --- | --- | --- |\n| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |\n| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |\n| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |\n|  | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |\n| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |\n| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |","| CNNRaw+PP | 80.4 | 98.8 | 89.6 | 98.9 | 88.2 | 90.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Unary+PP | 80.6 | 98.8 | 89.7 | 98.9 | 88.1 | 90.4 |\n| Unary+ShortRange+PP | 80.6 | 98.8 | 89.7 | 98.9 | 87.5 | 91.1 |\n| Full+PP | 80.5 | 98.8 | 89.7 | 98.9 | 87.0 | 91.5 |",1]
["| Exp | FIoU | BIoU | AvgIoU | Acc | OvrlPr | OvrlRe |\n| --- | --- | --- | --- | --- | --- | --- |\n| large | 75.2 | 97.9 | 86.5 | 98.0 | 85.7 | 85.9 |\n| medium | 80.0 | 98.0 | 89.0 | 98.1 | 87.6 | 90.2 |\n| small | 75.0 | 98.0 | 86.5 | 98.1 | 85.7 | 85.7 |\n|  | 38.3 | 96.6 | 67.4 | 96.7 | 88.0 | 40.4 |\n| CNNRaw | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary | 80.6 | 98.8 | 89.7 | 98.9 | 88.0 | 90.6 |\n| Unary+ShortRange | 80.8 | 98.8 | 89.8 | 98.9 | 87.4 | 91.4 |\n| Full | 80.7 | 98.8 | 89.8 | 98.9 | 86.6 | 92.2 |","| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["| Layer | Filter | Padding | Dilation(l) | Non-linearity |\n| --- | --- | --- | --- | --- |\n| 1 | 96x3 | 1 | 1 | ReLU |\n| 2 | 96x3 | 1 | 1 | ReLU |\n| 3 | 96x3 | 1 | 1 | ReLU |","| 4 | 96x3 | 2 | 2 | ReLU |\n| --- | --- | --- | --- | --- |\n| 5 | 96x3 | 4 | 4 | ReLU |\n| 6 | 96x3 | 8 | 8 | ReLU |\n| 7 | 96x3 | 1 | 1 | ReLU |\n| 8 | 50x1 | 0 | 1 | Softmax |",1]
["| Layer | Filter | Padding | Dilation(l) | Non-linearity |\n| --- | --- | --- | --- | --- |\n| 1 | 96x3 | 1 | 1 | ReLU |\n| 2 | 96x3 | 1 | 1 | ReLU |\n| 3 | 96x3 | 1 | 1 | ReLU |","| Layers | Conv1 | Conv2 | Conv3 | Conv4 | Conv5 |\n| --- | --- | --- | --- | --- | --- |\n| Filtersize | 3×3 | 3×3 | 3×3 | 3×3 | 3×3 |\n| Filternumber | 24 | 24 | 24 | 24 | 2 |\n| Stride | 1 | 1 | 1 | 1 | 1 |\n| Function | PReLU | PReLU | PReLU | PReLU | Tanh |",0]
["| Layer | Filter | Padding | Dilation(l) | Non-linearity |\n| --- | --- | --- | --- | --- |\n| 1 | 96x3 | 1 | 1 | ReLU |\n| 2 | 96x3 | 1 | 1 | ReLU |\n| 3 | 96x3 | 1 | 1 | ReLU |\n| 4 | 96x3 | 2 | 2 | ReLU |\n| 5 | 96x3 | 4 | 4 | ReLU |","| 6 | 96x3 | 8 | 8 | ReLU |\n| --- | --- | --- | --- | --- |\n| 7 | 96x3 | 1 | 1 | ReLU |\n| 8 | 50x1 | 0 | 1 | Softmax |",1]
["| Layer | Filter | Padding | Dilation(l) | Non-linearity |\n| --- | --- | --- | --- | --- |\n| 1 | 96x3 | 1 | 1 | ReLU |\n| 2 | 96x3 | 1 | 1 | ReLU |\n| 3 | 96x3 | 1 | 1 | ReLU |\n| 4 | 96x3 | 2 | 2 | ReLU |\n| 5 | 96x3 | 4 | 4 | ReLU |","| Stride | 1 | 1 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- |\n| Function | PReLU | PReLU | PReLU | PReLU | Tanh |",0]
["| Team | ML | BM | EB1 | EB2 |\n| --- | --- | --- | --- | --- |\n| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |\n| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |\n| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |\n| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |\n| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |","| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |\n| --- | --- | --- | --- | --- |\n| T-20 | 0.48 | 0.51 | 0.64 | 0.71 |",1]
["| Team | ML | BM | EB1 | EB2 |\n| --- | --- | --- | --- | --- |\n| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |\n| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |\n| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |\n| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |\n| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |","| t,T | at | bt | pA,t | PA,t |\n| --- | --- | --- | --- | --- |\n| 0,1 | 0.080 | 0 | 0.500 | 0.722 |\n| 5,2 | 0 | 0.117 | 0.722 | 0.839 |\n| 10,3 | 0 | 0.261 | 0839 | 0.564 |\n| 15,4 | 0 | 0.055 | 0.564 | 0.712 |\n| 20,5 | 0 | 0.077 | 0.712 | 0.903 |\n| 25,6 | 0 | 0.154 | 0.903 | 0.803 |\n| 30,7 | 0 | 0.251 | 0.803 | 0.576 |\n| 35,8 | 0 | 0.108 | 0.576 | 0.590 |\n| 40,9 | 0 | 0.176 | 0.590 | 0.437 |\n| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",0]
["| Team | ML | BM | EB1 | EB2 |\n| --- | --- | --- | --- | --- |\n| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |\n| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |\n| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |\n| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |\n| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |","| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |\n| --- | --- | --- | --- | --- |\n| T-20 | 0.48 | 0.51 | 0.64 | 0.71 |",1]
["| Team | ML | BM | EB1 | EB2 |\n| --- | --- | --- | --- | --- |\n| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |\n| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |\n| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |\n| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |\n| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |\n| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |\n| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |\n| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |\n| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |\n| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |\n| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |\n| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |\n| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |\n| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |\n| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |\n| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |\n| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |\n| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |","| 5,2 | 0 | 0.117 | 0.722 | 0.839 |\n| --- | --- | --- | --- | --- |\n| 10,3 | 0 | 0.261 | 0839 | 0.564 |\n| 15,4 | 0 | 0.055 | 0.564 | 0.712 |\n| 20,5 | 0 | 0.077 | 0.712 | 0.903 |\n| 25,6 | 0 | 0.154 | 0.903 | 0.803 |\n| 30,7 | 0 | 0.251 | 0.803 | 0.576 |\n| 35,8 | 0 | 0.108 | 0.576 | 0.590 |\n| 40,9 | 0 | 0.176 | 0.590 | 0.437 |\n| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",0]
["| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| --- | --- | --- | --- |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |","| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| --- | --- | --- | --- |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |\n| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |\n| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |\n| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |",1]
["| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| --- | --- | --- | --- |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |","| 79.75(79.47,80.03) | 80.20(80.02,80.35) | 80.68(80.14,81.21) | 80.99(80.65,81.30) |\n| --- | --- | --- | --- |\n| 44.98(44.06,45.68) | 46.10(45.37,46.84) | 46.75(46.35,47.36) | 47.02(46.59,47.59) |\n| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |\n| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |\n| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |\n| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |\n| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |",0]
["| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| --- | --- | --- | --- |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |\n| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |\n| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |","| 83.81(83.44,84.37) | 82.70(82.14,83.11) | 82.46(82.17,82.76) | 82.26(81.86,82.90) |\n| --- | --- | --- | --- |\n| 89.39(89.14,89.58) | 89.36(89.17,89.57) | 89.14(89.00,89.45) | 89.31(89.18,89.48) |",1]
["| 81.25(81.00,81.47) | 80.83(80.69,80.91) | 80.05(79.69,80.41) | 80.11(79.89,80.36) |\n| --- | --- | --- | --- |\n| 47.24(46.90,47.65) | 46.63(46.31,47.12) | 46.04(45.27,46.61) | 45.91(45.16,46.49) |\n| 85.53(85.26,85.80) | 84.61(84.47,84.90) | 84.09(83.94,84.22) | 84.02(83.57,84.28) |\n| 93.18(93.09,93.31) | 92.49(92.33,92.61) | 92.66(92.50,92.79) | 92.52(92.33,92.96) |\n| 91.53(91.26,91.78) | 89.93(89.75,90.09) | 89.73(89.61,89.83) | 89.49(89.31,89.65) |","| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |\n| --- | --- | --- | --- |\n| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |\n| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |\n| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |\n| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Protocolphase | Entity | (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE |  |  |\n| --- | --- | --- | --- | --- |\n| SystemInitialisation-CentralAuthority(CA) |  |  |  |  |\n| initialisethesystem | CA | 626.05.1 | 9155.95 | 2895.25 |\n| Issuingphase |  |  |  |  |\n| generatePoKΠ | Seller | 184.25 | 2881.8 | 469.1 |\n| verifyΠ | User | 107.9 | 1424.95 | 286.2 |\n| generateticketrequest,Π | User | 1008.7 | 17195.95 | 2847.35 |\n| verifyΠ | Seller | 787.3 | 11288.0 | 2166.25 |","| generateticket | Seller | 47.85 | 583.0 | 120.3 |\n| --- | --- | --- | --- | --- |\n| verifyticket | User | 52.5 | 856.75 | 158.35 |\n| TicketVeriﬁcation-Veriﬁer(V) |  |  |  |  |\n| generatetickettranscriptTransT | User | 241.4 | 3538.7 | 707.4 |\n| verifytranscript | Veriﬁer | 214.05 | 2539.8 | 649.8 |\n| Totalsystemruntime |  |  |  |  |\n| Allphases | All | 3659.1 | 54382.95 | 11383.1 |",1]
["| Protocolphase | Entity | (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE |  |  |\n| --- | --- | --- | --- | --- |\n| SystemInitialisation-CentralAuthority(CA) |  |  |  |  |\n| initialisethesystem | CA | 626.05.1 | 9155.95 | 2895.25 |\n| Issuingphase |  |  |  |  |\n| generatePoKΠ | Seller | 184.25 | 2881.8 | 469.1 |\n| verifyΠ | User | 107.9 | 1424.95 | 286.2 |\n| generateticketrequest,Π | User | 1008.7 | 17195.95 | 2847.35 |\n| verifyΠ | Seller | 787.3 | 11288.0 | 2166.25 |","| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |\n| Maximumnodedegreemaxk | 50 |\n| Averagenodedegreeavgk | 10 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 50,100 |\n| Minimumcommunitysizeminc | 10,20 |\n| Communitysizedistributionτ2 | -1 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["| Protocolphase | Entity | (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE |  |  |\n| --- | --- | --- | --- | --- |\n| SystemInitialisation-CentralAuthority(CA) |  |  |  |  |\n| initialisethesystem | CA | 626.05.1 | 9155.95 | 2895.25 |\n| Issuingphase |  |  |  |  |\n| generatePoKΠ | Seller | 184.25 | 2881.8 | 469.1 |\n| verifyΠ | User | 107.9 | 1424.95 | 286.2 |\n| generateticketrequest,Π | User | 1008.7 | 17195.95 | 2847.35 |\n| verifyΠ | Seller | 787.3 | 11288.0 | 2166.25 |\n| generateticket | Seller | 47.85 | 583.0 | 120.3 |","| verifyticket | User | 52.5 | 856.75 | 158.35 |\n| --- | --- | --- | --- | --- |\n| TicketVeriﬁcation-Veriﬁer(V) |  |  |  |  |\n| generatetickettranscriptTransT | User | 241.4 | 3538.7 | 707.4 |\n| verifytranscript | Veriﬁer | 214.05 | 2539.8 | 649.8 |\n| Totalsystemruntime |  |  |  |  |\n| Allphases | All | 3659.1 | 54382.95 | 11383.1 |",1]
["| Protocolphase | Entity | (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE |  |  |\n| --- | --- | --- | --- | --- |\n| SystemInitialisation-CentralAuthority(CA) |  |  |  |  |\n| initialisethesystem | CA | 626.05.1 | 9155.95 | 2895.25 |\n| Issuingphase |  |  |  |  |\n| generatePoKΠ | Seller | 184.25 | 2881.8 | 469.1 |\n| verifyΠ | User | 107.9 | 1424.95 | 286.2 |\n| generateticketrequest,Π | User | 1008.7 | 17195.95 | 2847.35 |\n| verifyΠ | Seller | 787.3 | 11288.0 | 2166.25 |\n| generateticket | Seller | 47.85 | 583.0 | 120.3 |","| OverlappingNodesOn | 500 |\n| --- | --- |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["| Dataset | #trainingpoint | #testingpoint | #uniquetags | Avg#tagsperdocument |\n| --- | --- | --- | --- | --- |\n| Wiki10 | 14095 | 6600 | 31177 | 17.27 |","| WikiNER | 89521 | 10000 | 67179 | 22.96 |\n| --- | --- | --- | --- | --- |\n| RelevanceModeling(Chinese) | 4505 | 500 | 391 | 1.02 |\n| RelevanceModeling(Korean) | 1292 | 500 | 261 | 1.07 |\n| NCT(all) | 40305 | 9546 | 883 | 1.88 |\n| NCT(general) | 39401 | 9389 | 294 | 1.76 |\n| NCT(speciﬁc) | 17278 | 4509 | 412 | 1.41 |",1]
["| Dataset | #trainingpoint | #testingpoint | #uniquetags | Avg#tagsperdocument |\n| --- | --- | --- | --- | --- |\n| Wiki10 | 14095 | 6600 | 31177 | 17.27 |","| Dataset | t=0.5 | t=0.6 | t=0.7 | t=0.8 | t=0.9 |\n| --- | --- | --- | --- | --- | --- |\n| AllPairs+BayesLSH |  |  |  |  |  |\n| RCV1 | 97.97 | 98.18 | 98.47 | 99.08 | 99.36 |\n| WikiWords100K | 98.52 | 98.84 | 99.2 | 98.58 | 96.69 |\n| WikiWords500K | 97.54 | 97.82 | 98.21 | 98.16 | 96.66 |\n| WikiLinks | 97.45 | 98.04 | 98.46 | 98.68 | 99.18 |\n| Orkut | 97.1 | 97.8 | 98.86 | 99.84 | 99.99 |\n| Twitter | 97.7 | 96 | 96.88 | 97.33 | 98.77 |\n| AllPairs+BayesLSH-Lite |  |  |  |  |  |\n| RCV1 | 98.73 | 98.82 | 98.89 | 99.26 | 99.55 |\n| WikiWords100K | 98.88 | 99.31 | 99.62 | 99.69 | 99.5 |\n| WikiWords500K | 98.79 | 98.72 | 98.98 | 98.74 | 98.83 |\n| WikiLinks | 98.53 | 98.91 | 99.16 | 99.18 | 99.45 |\n| Orkut | 98.4 | 98.64 | 99.3 | 99.87 | 99.99 |\n| Twitter | 99.44 | 98.82 | 97.17 | 97.18 | 99.06 |",0]
["| Dataset | #trainingpoint | #testingpoint | #uniquetags | Avg#tagsperdocument |\n| --- | --- | --- | --- | --- |\n| Wiki10 | 14095 | 6600 | 31177 | 17.27 |","| WikiNER | 89521 | 10000 | 67179 | 22.96 |\n| --- | --- | --- | --- | --- |\n| RelevanceModeling(Chinese) | 4505 | 500 | 391 | 1.02 |\n| RelevanceModeling(Korean) | 1292 | 500 | 261 | 1.07 |\n| NCT(all) | 40305 | 9546 | 883 | 1.88 |\n| NCT(general) | 39401 | 9389 | 294 | 1.76 |\n| NCT(speciﬁc) | 17278 | 4509 | 412 | 1.41 |",1]
["| Dataset | #trainingpoint | #testingpoint | #uniquetags | Avg#tagsperdocument |\n| --- | --- | --- | --- | --- |\n| Wiki10 | 14095 | 6600 | 31177 | 17.27 |","| WikiWords500K | 97.54 | 97.82 | 98.21 | 98.16 | 96.66 |\n| --- | --- | --- | --- | --- | --- |\n| WikiLinks | 97.45 | 98.04 | 98.46 | 98.68 | 99.18 |\n| Orkut | 97.1 | 97.8 | 98.86 | 99.84 | 99.99 |\n| Twitter | 97.7 | 96 | 96.88 | 97.33 | 98.77 |\n| AllPairs+BayesLSH-Lite |  |  |  |  |  |\n| RCV1 | 98.73 | 98.82 | 98.89 | 99.26 | 99.55 |\n| WikiWords100K | 98.88 | 99.31 | 99.62 | 99.69 | 99.5 |\n| WikiWords500K | 98.79 | 98.72 | 98.98 | 98.74 | 98.83 |\n| WikiLinks | 98.53 | 98.91 | 99.16 | 99.18 | 99.45 |\n| Orkut | 98.4 | 98.64 | 99.3 | 99.87 | 99.99 |\n| Twitter | 99.44 | 98.82 | 97.17 | 97.18 | 99.06 |",0]
["| Methods | Market-1501 | VIPeR |\n| --- | --- | --- |\n| r=1mAP | r=1r=20mAP |  |\n| BoW | 9.043.26 | 7.8239.3411.44 |\n| BoW+Geo | 21.238.46 | 15.4751.4919.85 |\n| BoW+Geo+Gauss | 34.4014.09 | 21.7460.8526.55 |\n| BoW+Geo+Gauss+MultiQavg | 41.6617.63 | --- |","| BoW+Geo+Gauss+MultiQmax | 42.1418.53 | --- |\n| --- | --- | --- |\n| BoW+Geo+Gauss+MultiQmax+Rerank | 42.1419.20 | --- |",1]
["| Methods | Market-1501 | VIPeR |\n| --- | --- | --- |\n| r=1mAP | r=1r=20mAP |  |\n| BoW | 9.043.26 | 7.8239.3411.44 |\n| BoW+Geo | 21.238.46 | 15.4751.4919.85 |\n| BoW+Geo+Gauss | 34.4014.09 | 21.7460.8526.55 |\n| BoW+Geo+Gauss+MultiQavg | 41.6617.63 | --- |","| Methods | r=1 | r=5 | r=20 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 65.51<br>66.77<br>66.57<br>67.68 | 81.72<br>82.68<br>82.88<br>82.17 | 90.10<br>91.21<br>91.46<br>90.91 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 64.95<br>65.15<br>66.36<br>67.17 | 81.01<br>82.58<br>82.63<br>81.41 | 89.90<br>90.56<br>91.67<br>90.25 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 63.33<br>63.89<br>65.15<br>65.71 | 80.51<br>80.81<br>81.67<br>80.51 | 88.74<br>89.65<br>91.01<br>89.29 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 60.81<br>61.92<br>61.81<br>63.59 | 77.93<br>78.38<br>79.14<br>78.43 | 87.88<br>88.28<br>88.69<br>88.18 |",0]
["| Methods | Market-1501 | VIPeR |\n| --- | --- | --- |\n| r=1mAP | r=1r=20mAP |  |\n| BoW | 9.043.26 | 7.8239.3411.44 |\n| BoW+Geo | 21.238.46 | 15.4751.4919.85 |","| BoW+Geo+Gauss | 34.4014.09 | 21.7460.8526.55 |\n| --- | --- | --- |\n| BoW+Geo+Gauss+MultiQavg | 41.6617.63 | --- |\n| BoW+Geo+Gauss+MultiQmax | 42.1418.53 | --- |\n| BoW+Geo+Gauss+MultiQmax+Rerank | 42.1419.20 | --- |",1]
["| Methods | Market-1501 | VIPeR |\n| --- | --- | --- |\n| r=1mAP | r=1r=20mAP |  |\n| BoW | 9.043.26 | 7.8239.3411.44 |\n| BoW+Geo | 21.238.46 | 15.4751.4919.85 |","| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 64.95<br>65.15<br>66.36<br>67.17 | 81.01<br>82.58<br>82.63<br>81.41 | 89.90<br>90.56<br>91.67<br>90.25 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 63.33<br>63.89<br>65.15<br>65.71 | 80.51<br>80.81<br>81.67<br>80.51 | 88.74<br>89.65<br>91.01<br>89.29 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 60.81<br>61.92<br>61.81<br>63.59 | 77.93<br>78.38<br>79.14<br>78.43 | 87.88<br>88.28<br>88.69<br>88.18 |",0]
["| Type/Stride | FilterShape | InputSize |\n| --- | --- | --- |\n| Conv/s2 | 3×3×1×32 | 96×96×1 |\n| Convdw/s1 | 3×3×32dw | 48×48×32 |\n| Conv/s1 | 1×1×32×64 | 48×48×32 |\n| Convdw/s2 | 3×3×64dw | 48×48×64 |\n| Conv/s1 | 1×1×64×128 | 24×24×64 |\n| Convdw/s1 | 3×3×128dw | 56×24×128 |\n| Conv/s1 | 1×1×128×128 | 24×24×128 |\n| Convdw/s2 | 3×3×128dw | 24×24×128 |\n| Conv/s1 | 1×1×128×256 | 12×12×128 |\n| Convdw/s1 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×256 | 12×12×256 |\n| Convdw/s2 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×512 | 6×6×256 |\n| 5×Convdw/s1 | 3×3×512dw | 6×6×512 |\n| Conv/s1 | 1×1×512×512 | 6×6×512 |\n| Convdw/s2 | 3×3×512dw | 6×6×512 |","| AvgPool/s1 | Pool6×6 | 6×6×512 |\n| --- | --- | --- |\n| FC/s1 | 512×l | 1×1×512 |\n| FC/s1 | l×c | 1×1×l |\n| Softmax/s1 | Classiﬁer | 1×1×c |",1]
["| Type/Stride | FilterShape | InputSize |\n| --- | --- | --- |\n| Conv/s2 | 3×3×1×32 | 96×96×1 |\n| Convdw/s1 | 3×3×32dw | 48×48×32 |\n| Conv/s1 | 1×1×32×64 | 48×48×32 |\n| Convdw/s2 | 3×3×64dw | 48×48×64 |\n| Conv/s1 | 1×1×64×128 | 24×24×64 |\n| Convdw/s1 | 3×3×128dw | 56×24×128 |\n| Conv/s1 | 1×1×128×128 | 24×24×128 |\n| Convdw/s2 | 3×3×128dw | 24×24×128 |\n| Conv/s1 | 1×1×128×256 | 12×12×128 |\n| Convdw/s1 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×256 | 12×12×256 |\n| Convdw/s2 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×512 | 6×6×256 |\n| 5×Convdw/s1 | 3×3×512dw | 6×6×512 |\n| Conv/s1 | 1×1×512×512 | 6×6×512 |\n| Convdw/s2 | 3×3×512dw | 6×6×512 |","| Name | Kernel | OutputSize | Name | Kernel | OutputSize |\n| --- | --- | --- | --- | --- | --- |\n| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |\n| pool1 | 2×2 | 160×224×64 | reﬁne-1convs | 3×3 | 40×56×256 |\n| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |\n| pool2 | 2×2 | 80×112×128 | reﬁne-2convs | 3×3 | 80×112×128 |\n| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |\n| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |\n| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",0]
["| Type/Stride | FilterShape | InputSize |\n| --- | --- | --- |\n| Conv/s2 | 3×3×1×32 | 96×96×1 |\n| Convdw/s1 | 3×3×32dw | 48×48×32 |\n| Conv/s1 | 1×1×32×64 | 48×48×32 |\n| Convdw/s2 | 3×3×64dw | 48×48×64 |\n| Conv/s1 | 1×1×64×128 | 24×24×64 |\n| Convdw/s1 | 3×3×128dw | 56×24×128 |\n| Conv/s1 | 1×1×128×128 | 24×24×128 |\n| Convdw/s2 | 3×3×128dw | 24×24×128 |\n| Conv/s1 | 1×1×128×256 | 12×12×128 |\n| Convdw/s1 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×256 | 12×12×256 |\n| Convdw/s2 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×512 | 6×6×256 |\n| 5×Convdw/s1 | 3×3×512dw | 6×6×512 |","| Conv/s1 | 1×1×512×512 | 6×6×512 |\n| --- | --- | --- |\n| Convdw/s2 | 3×3×512dw | 6×6×512 |\n| AvgPool/s1 | Pool6×6 | 6×6×512 |\n| FC/s1 | 512×l | 1×1×512 |\n| FC/s1 | l×c | 1×1×l |\n| Softmax/s1 | Classiﬁer | 1×1×c |",1]
["| Type/Stride | FilterShape | InputSize |\n| --- | --- | --- |\n| Conv/s2 | 3×3×1×32 | 96×96×1 |\n| Convdw/s1 | 3×3×32dw | 48×48×32 |\n| Conv/s1 | 1×1×32×64 | 48×48×32 |\n| Convdw/s2 | 3×3×64dw | 48×48×64 |\n| Conv/s1 | 1×1×64×128 | 24×24×64 |\n| Convdw/s1 | 3×3×128dw | 56×24×128 |\n| Conv/s1 | 1×1×128×128 | 24×24×128 |\n| Convdw/s2 | 3×3×128dw | 24×24×128 |\n| Conv/s1 | 1×1×128×256 | 12×12×128 |\n| Convdw/s1 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×256 | 12×12×256 |\n| Convdw/s2 | 3×3×256dw | 12×12×256 |\n| Conv/s1 | 1×1×256×512 | 6×6×256 |\n| 5×Convdw/s1 | 3×3×512dw | 6×6×512 |","| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |\n| --- | --- | --- | --- | --- | --- |\n| pool2 | 2×2 | 80×112×128 | reﬁne-2convs | 3×3 | 80×112×128 |\n| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |\n| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |\n| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",0]
["| Statistics | Integratorusedwithsamplingﬁlter |  |\n| --- | --- | --- |\n|  |  |  |\n| Min | 0.304178 | 1.234498 |\n| Max | 2.671971 | 2.350684 |","| Mean | 0.439776 | 1.699096 |\n| --- | --- | --- |\n| Std | 0.274643 | 0.250088 |\n| Mean+2∗std | 0.989062 | 2.199272 |\n| Mean−2∗std | -0.109510 | 1.198920 |",1]
["| Statistics | Integratorusedwithsamplingﬁlter |  |\n| --- | --- | --- |\n|  |  |  |\n| Min | 0.304178 | 1.234498 |\n| Max | 2.671971 | 2.350684 |","| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| Statistics | Integratorusedwithsamplingﬁlter |  |\n| --- | --- | --- |\n|  |  |  |\n| Min | 0.304178 | 1.234498 |\n| Max | 2.671971 | 2.350684 |\n| Mean | 0.439776 | 1.699096 |","| Std | 0.274643 | 0.250088 |\n| --- | --- | --- |\n| Mean+2∗std | 0.989062 | 2.199272 |\n| Mean−2∗std | -0.109510 | 1.198920 |",1]
["| Statistics | Integratorusedwithsamplingﬁlter |  |\n| --- | --- | --- |\n|  |  |  |\n| Min | 0.304178 | 1.234498 |\n| Max | 2.671971 | 2.350684 |\n| Mean | 0.439776 | 1.699096 |","| 78.72 | 94.13 | 98.08 | 0.423 |\n| --- | --- | --- | --- |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |","| 0.731 | 0.921 | 0.815 | 0.837 | 0.386 |\n| --- | --- | --- | --- | --- |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.410 | 0.093 | 0.151 | 0.393 | 0.053 |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",1]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |","| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |\n| 0.757 | 0.902 | 0.823 | 0.699 | 0.810 |\n| 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",0]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.731 | 0.921 | 0.815 | 0.837 | 0.386 |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |","| 0.410 | 0.093 | 0.151 | 0.393 | 0.053 |\n| --- | --- | --- | --- | --- |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",1]
["| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F | P | R |\n| 0.731 | 0.921 | 0.815 | 0.837 | 0.386 |\n| 0.765 | 0.910 | 0.831 | 0.770 | 0.622 |","| 0.776 | 0.934 | 0.848 | 0.711 | 0.830 |\n| --- | --- | --- | --- | --- |\n| 0.776 | 0.934 | 0.848 | 0.840 | 0.904 |",0]
["| Sky | Tree | Road | Grass | Water |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw |  |\n| ICM | 0.807 | 0.843 | 0.648 | 0.628 | 0.845 | 0.853 | 0.790 | 0.729 | 0.770 | 0.759 | 0.686 |\n| ICM-iter | 0.837 | 0.846 | 0.649 | 0.631 | 0.845 | 0.855 | 0.790 | 0.736 | 0.776 | 0.767 | 0.686 |\n| LBP | 0.861 | 0.840 | 0.640 | 0.629 | 0.832 | 0.842 | 0.783 | 0.690 | 0.771 | 0.707 | 0.675 |","| Gibbs | 0.854 | 0.840 | 0.659 | 0.632 | 0.848 | 0.856 | 0.792 | 0.738 | 0.802 | 0.766 | 0.705 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LocPMAP | 0.854 | 0.846 | 0.650 | 0.636 | 0.844 | 0.859 | 0.794 | 0.742 | 0.784 | 0.769 | 0.686 |",1]
["| Sky | Tree | Road | Grass | Water |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw |  |\n| ICM | 0.807 | 0.843 | 0.648 | 0.628 | 0.845 | 0.853 | 0.790 | 0.729 | 0.770 | 0.759 | 0.686 |\n| ICM-iter | 0.837 | 0.846 | 0.649 | 0.631 | 0.845 | 0.855 | 0.790 | 0.736 | 0.776 | 0.767 | 0.686 |\n| LBP | 0.861 | 0.840 | 0.640 | 0.629 | 0.832 | 0.842 | 0.783 | 0.690 | 0.771 | 0.707 | 0.675 |","| Background | Foreground | Mean |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep |  |\n| LBP | 0.539 | 0.539 | 0.080 | 0.154 | 0.310 | 0.347 |\n| MF | 0.686 | 0.695 | 0.598 | 0.674 | 0.642 | 0.684 |\n| ICM-iter | 0.659 | 0.731 | 0.637 | 0.727 | 0.648 | 0.729 |\n| SA | 0.688 | 0.692 | 0.623 | 0.696 | 0.655 | 0.694 |\n| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |\n| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 |\n| LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |",0]
["| Sky | Tree | Road | Grass | Water |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw |  |\n| ICM | 0.807 | 0.843 | 0.648 | 0.628 | 0.845 | 0.853 | 0.790 | 0.729 | 0.770 | 0.759 | 0.686 |\n| ICM-iter | 0.837 | 0.846 | 0.649 | 0.631 | 0.845 | 0.855 | 0.790 | 0.736 | 0.776 | 0.767 | 0.686 |\n| LBP | 0.861 | 0.840 | 0.640 | 0.629 | 0.832 | 0.842 | 0.783 | 0.690 | 0.771 | 0.707 | 0.675 |","| Gibbs | 0.854 | 0.840 | 0.659 | 0.632 | 0.848 | 0.856 | 0.792 | 0.738 | 0.802 | 0.766 | 0.705 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LocPMAP | 0.854 | 0.846 | 0.650 | 0.636 | 0.844 | 0.859 | 0.794 | 0.742 | 0.784 | 0.769 | 0.686 |",1]
["| Sky | Tree | Road | Grass | Water |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw | Deep | Raw |  |\n| ICM | 0.807 | 0.843 | 0.648 | 0.628 | 0.845 | 0.853 | 0.790 | 0.729 | 0.770 | 0.759 | 0.686 |\n| ICM-iter | 0.837 | 0.846 | 0.649 | 0.631 | 0.845 | 0.855 | 0.790 | 0.736 | 0.776 | 0.767 | 0.686 |\n| LBP | 0.861 | 0.840 | 0.640 | 0.629 | 0.832 | 0.842 | 0.783 | 0.690 | 0.771 | 0.707 | 0.675 |","| SA | 0.688 | 0.692 | 0.623 | 0.696 | 0.655 | 0.694 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Gibbs | 0.692 | 0.708 | 0.624 | 0.696 | 0.658 | 0.702 |\n| ICM | 0.672 | 0.746 | 0.661 | 0.733 | 0.667 | 0.739 |\n| LocPMAP | 0.681 | 0.754 | 0.666 | 0.735 | 0.673 | 0.745 |",0]
["| MessageSize | iSense<br>TxRx | TelosB<br>TxRx |  |  |\n| --- | --- | --- | --- | --- |\n| 149bytes | 0.5mJ | 0.6mJ | 0.3mJ | 0.32mJ |\n| 85bytes | 0.32mJ | 0.36mJ | 0.17mJ | 0.18mJ |","| 43bytes | 0.16mJ | 0.18mJ | 0.08mJ | 0.09mJ |\n| --- | --- | --- | --- | --- |\n| 22bytes | 0.08mJ | 0.09mJ | 0.045mJ | 0.048mJ |\n| 2bytes | 0.007mJ | 0.008mJ | 0.004mJ | 0.004mJ |\n| 1byte | 0.003mJ | 0.004mJ | 0.002mJ | 0.002mJ |",1]
["| MessageSize | iSense<br>TxRx | TelosB<br>TxRx |  |  |\n| --- | --- | --- | --- | --- |\n| 149bytes | 0.5mJ | 0.6mJ | 0.3mJ | 0.32mJ |\n| 85bytes | 0.32mJ | 0.36mJ | 0.17mJ | 0.18mJ |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |\n| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| MessageSize | iSense<br>TxRx | TelosB<br>TxRx |  |  |\n| --- | --- | --- | --- | --- |\n| 149bytes | 0.5mJ | 0.6mJ | 0.3mJ | 0.32mJ |","| 85bytes | 0.32mJ | 0.36mJ | 0.17mJ | 0.18mJ |\n| --- | --- | --- | --- | --- |\n| 43bytes | 0.16mJ | 0.18mJ | 0.08mJ | 0.09mJ |\n| 22bytes | 0.08mJ | 0.09mJ | 0.045mJ | 0.048mJ |\n| 2bytes | 0.007mJ | 0.008mJ | 0.004mJ | 0.004mJ |\n| 1byte | 0.003mJ | 0.004mJ | 0.002mJ | 0.002mJ |",1]
["| MessageSize | iSense<br>TxRx | TelosB<br>TxRx |  |  |\n| --- | --- | --- | --- | --- |\n| 149bytes | 0.5mJ | 0.6mJ | 0.3mJ | 0.32mJ |","| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| LayerType | Parameters |\n| --- | --- |\n| Input | 94x24pixelsRGBimage |\n| Convolution | #643x3stride1 |\n| MaxPooling | #643x3stride1 |\n| Smallbasicblock | #1283x3stride1 |\n| MaxPooling | #643x3stride(2,1) |","| Smallbasicblock | #2563x3stride1 |\n| --- | --- |\n| Smallbasicblock | #2563x3stride1 |\n| MaxPooling | #643x3stride(2,1) |\n| Dropout | 0.5ratio |\n| Convolution | #2564x1stride1 |\n| Dropout | 0.5ratio |\n| Convolution | #classnumber1x13stride1 |",1]
["| LayerType | Parameters |\n| --- | --- |\n| Input | 94x24pixelsRGBimage |\n| Convolution | #643x3stride1 |\n| MaxPooling | #643x3stride1 |\n| Smallbasicblock | #1283x3stride1 |\n| MaxPooling | #643x3stride(2,1) |","| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| LayerType | Parameters |\n| --- | --- |\n| Input | 94x24pixelsRGBimage |\n| Convolution | #643x3stride1 |\n| MaxPooling | #643x3stride1 |\n| Smallbasicblock | #1283x3stride1 |\n| MaxPooling | #643x3stride(2,1) |\n| Smallbasicblock | #2563x3stride1 |\n| Smallbasicblock | #2563x3stride1 |\n| MaxPooling | #643x3stride(2,1) |","| Dropout | 0.5ratio |\n| --- | --- |\n| Convolution | #2564x1stride1 |\n| Dropout | 0.5ratio |\n| Convolution | #classnumber1x13stride1 |",1]
["| LayerType | Parameters |\n| --- | --- |\n| Input | 94x24pixelsRGBimage |\n| Convolution | #643x3stride1 |\n| MaxPooling | #643x3stride1 |\n| Smallbasicblock | #1283x3stride1 |\n| MaxPooling | #643x3stride(2,1) |\n| Smallbasicblock | #2563x3stride1 |\n| Smallbasicblock | #2563x3stride1 |\n| MaxPooling | #643x3stride(2,1) |","| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| --- | --- | --- | --- |\n| 4 | Softmax | 121way | 121 |",0]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.6740.6970.7130.715 |\n| 2-sub-networks | 0.6400.6860.6880.697 |\n| PrecisionwithinHammingradius2 |  |","| 1-sub-network | 0.6230.6860.7100.714 |\n| --- | --- |\n| 2-sub-networks | 0.5790.6640.6960.704 |",1]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.6740.6970.7130.715 |\n| 2-sub-networks | 0.6400.6860.6880.697 |\n| PrecisionwithinHammingradius2 |  |","| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.5520.5660.5580.581 |\n| 2-sub-networks | 0.4670.4940.4770.515 |\n| PrecisionwithinHammingradius2 |  |\n| 1-sub-network | 0.5270.6150.6020.625 |\n| 2-sub-networks | 0.4500.5640.5490.588 |",0]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.6740.6970.7130.715 |\n| 2-sub-networks | 0.6400.6860.6880.697 |","| PrecisionwithinHammingradius2 |  |\n| --- | --- |\n| 1-sub-network | 0.6230.6860.7100.714 |\n| 2-sub-networks | 0.5790.6640.6960.704 |",1]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.6740.6970.7130.715 |\n| 2-sub-networks | 0.6400.6860.6880.697 |","| PrecisionwithinHammingradius2 |  |\n| --- | --- |\n| 1-sub-network | 0.5270.6150.6020.625 |\n| 2-sub-networks | 0.4500.5640.5490.588 |",0]
["| FMD | ImageNet7 | MINC-2500 |  |\n| --- | --- | --- | --- |\n| Categories | 10 | 7 | 23 |\n| Samplespercategory | 100 | 100 | 2500 |","| MaterialSamples | 1000 | 1000 | 2500 |\n| --- | --- | --- | --- |\n| Totalimagenumber | 1000 | 7000 | 57500 |",1]
["| FMD | ImageNet7 | MINC-2500 |  |\n| --- | --- | --- | --- |\n| Categories | 10 | 7 | 23 |\n| Samplespercategory | 100 | 100 | 2500 |","| TrainingData | TestData |  |\n| --- | --- | --- |\n| ILSVRC2012Val | WebVisionVal |  |\n| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["| FMD | ImageNet7 | MINC-2500 |  |\n| --- | --- | --- | --- |\n| Categories | 10 | 7 | 23 |","| Samplespercategory | 100 | 100 | 2500 |\n| --- | --- | --- | --- |\n| MaterialSamples | 1000 | 1000 | 2500 |\n| Totalimagenumber | 1000 | 7000 | 57500 |",1]
["| FMD | ImageNet7 | MINC-2500 |  |\n| --- | --- | --- | --- |\n| Categories | 10 | 7 | 23 |","| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| --- | --- | --- |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["| Method | h=4 | h=5 | h=6 | h=7 |\n| --- | --- | --- | --- | --- |\n| HierarchyCompletion |  |  |  |  |\n| Fu2014 | 0.66 | 0.42 | 0.26 | 0.21 |\n| Ours(L) | 0.70 | 0.49 | 0.45 | 0.37 |\n| Ours(LV) | 0.73 | 0.51 | 0.50 | 0.42 |\n| HierarchyConstruction |  |  |  |  |\n| Fu2014 | 0.53 | 0.33 | 0.28 | 0.18 |\n| Bansal2014 | 0.67 | 0.53 | 0.43 | 0.37 |\n| Ours(L) | 0.58 | 0.41 | 0.36 | 0.30 |\n| Ours(LB) | 0.68 | 0.55 | 0.45 | 0.40 |\n| Ours(LV) | 0.66 | 0.52 | 0.42 | 0.34 |","| Ours(LVB-E) | 0.68 | 0.55 | 0.44 | 0.39 |\n| --- | --- | --- | --- | --- |\n| Ours(LVB) | 0.70 | 0.57 | 0.49 | 0.43 |",1]
["| Method | h=4 | h=5 | h=6 | h=7 |\n| --- | --- | --- | --- | --- |\n| HierarchyCompletion |  |  |  |  |\n| Fu2014 | 0.66 | 0.42 | 0.26 | 0.21 |\n| Ours(L) | 0.70 | 0.49 | 0.45 | 0.37 |\n| Ours(LV) | 0.73 | 0.51 | 0.50 | 0.42 |\n| HierarchyConstruction |  |  |  |  |\n| Fu2014 | 0.53 | 0.33 | 0.28 | 0.18 |\n| Bansal2014 | 0.67 | 0.53 | 0.43 | 0.37 |\n| Ours(L) | 0.58 | 0.41 | 0.36 | 0.30 |\n| Ours(LB) | 0.68 | 0.55 | 0.45 | 0.40 |\n| Ours(LV) | 0.66 | 0.52 | 0.42 | 0.34 |","| Method | top-1 | top-5 | top-10 |\n| --- | --- | --- | --- |\n| Ours-cls | 75.90 | 94.55 | 97.85 |\n| Ours-L2 | 74.70 | 93.52 | 96.45 |\n| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |\n| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",0]
["| Method | h=4 | h=5 | h=6 | h=7 |\n| --- | --- | --- | --- | --- |\n| HierarchyCompletion |  |  |  |  |","| Fu2014 | 0.66 | 0.42 | 0.26 | 0.21 |\n| --- | --- | --- | --- | --- |\n| Ours(L) | 0.70 | 0.49 | 0.45 | 0.37 |\n| Ours(LV) | 0.73 | 0.51 | 0.50 | 0.42 |\n| HierarchyConstruction |  |  |  |  |\n| Fu2014 | 0.53 | 0.33 | 0.28 | 0.18 |\n| Bansal2014 | 0.67 | 0.53 | 0.43 | 0.37 |\n| Ours(L) | 0.58 | 0.41 | 0.36 | 0.30 |\n| Ours(LB) | 0.68 | 0.55 | 0.45 | 0.40 |\n| Ours(LV) | 0.66 | 0.52 | 0.42 | 0.34 |\n| Ours(LVB-E) | 0.68 | 0.55 | 0.44 | 0.39 |\n| Ours(LVB) | 0.70 | 0.57 | 0.49 | 0.43 |",1]
["| Method | h=4 | h=5 | h=6 | h=7 |\n| --- | --- | --- | --- | --- |\n| HierarchyCompletion |  |  |  |  |","| Ours-L3 | 76.55 | 93.70 | 96.85 |\n| --- | --- | --- | --- |\n| Ours-L4 | 79.15 | 94.45 | 97.80 |\n| Ours-(L2,L3) | 79.45 | 94.70 | 97.90 |\n| Ours-(L2,L3,L4) | 86.45 | 97.50 | 99.10 |",0]
["| Expression | Number |\n| --- | --- |\n| Neutral | 80,276 |\n| Happy | 146,198 |\n| Sad | 29,487 |\n| Surprise | 16,288 |\n| Fear | 8,191 |\n| Disgust | 5,264 |","| Anger | 28,130 |\n| --- | --- |\n| Contempt | 5,135 |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",1]
["| Expression | Number |\n| --- | --- |\n| Neutral | 80,276 |\n| Happy | 146,198 |\n| Sad | 29,487 |\n| Surprise | 16,288 |\n| Fear | 8,191 |\n| Disgust | 5,264 |","| Emotion | Frequency |\n| --- | --- |\n| Happiness | 33 |\n| Disgust | 60 |\n| Surprise | 25 |\n| Repression | 27 |\n| Others | 102 |",0]
["| Expression | Number |\n| --- | --- |\n| Neutral | 80,276 |\n| Happy | 146,198 |\n| Sad | 29,487 |\n| Surprise | 16,288 |\n| Fear | 8,191 |\n| Disgust | 5,264 |","| Anger | 28,130 |\n| --- | --- |\n| Contempt | 5,135 |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",1]
["| Expression | Number |\n| --- | --- |\n| Neutral | 80,276 |\n| Happy | 146,198 |\n| Sad | 29,487 |\n| Surprise | 16,288 |\n| Fear | 8,191 |\n| Disgust | 5,264 |","| Repression | 27 |\n| --- | --- |\n| Others | 102 |",0]
["|  | road | sidewalk | building | wall | fence | pole | traﬃclight |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 94.7 | 64.8 | 82.7 | 35.7 | 38.0 | 14.2 | 19.3 |","| RGB+dist | 95.4 | 69.1 | 84.0 | 39.6 | 40.7 | 17.8 | 25.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+coord | 95.2 | 67.3 | 83.2 | 37.7 | 39.2 | 16.9 | 23.8 |\n| RGB+dist+coord | 95.3 | 68.2 | 83.7 | 40.4 | 39.4 | 17.2 | 25.3 |",1]
["|  | road | sidewalk | building | wall | fence | pole | traﬃclight |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 94.7 | 64.8 | 82.7 | 35.7 | 38.0 | 14.2 | 19.3 |","|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |\n| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["|  | road | sidewalk | building | wall | fence | pole | traﬃclight |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 94.7 | 64.8 | 82.7 | 35.7 | 38.0 | 14.2 | 19.3 |\n| RGB+dist | 95.4 | 69.1 | 84.0 | 39.6 | 40.7 | 17.8 | 25.8 |","| RGB+coord | 95.2 | 67.3 | 83.2 | 37.7 | 39.2 | 16.9 | 23.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+dist+coord | 95.3 | 68.2 | 83.7 | 40.4 | 39.4 | 17.2 | 25.3 |",1]
["|  | road | sidewalk | building | wall | fence | pole | traﬃclight |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 94.7 | 64.8 | 82.7 | 35.7 | 38.0 | 14.2 | 19.3 |\n| RGB+dist | 95.4 | 69.1 | 84.0 | 39.6 | 40.7 | 17.8 | 25.8 |","| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["| Cut | links<br>(ME) | attributes | both(CME) |\n| --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |","| nocut | 3.41 | 1.89 | 10.86 | 5.30 | 14.27 |\n| --- | --- | --- | --- | --- | --- |\n| A | 3.59 | 1.00 | 9.97 | 4.59 | 13.55 |\n| B | 3.36 | 1.51 | 10.47 | 4.87 | 13.83 |",1]
["| Cut | links<br>(ME) | attributes | both(CME) |\n| --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |","| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 2.95 | 1.84 | 9.81 | 4.79 | 12.75 |\n| A | 3.02 | 0.96 | 8.92 | 3.98 | 11.95 |\n| B | 2.93 | 1.43 | 9.39 | 4.35 | 12.32 |\n| C | 3.15 | 1.56 | 9.53 | 4.72 | 12.68 |\n| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |\n| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |\n| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |\n| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 |",0]
["| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 3.41 | 1.89 | 10.86 | 5.30 | 14.27 |","| A | 3.59 | 1.00 | 9.97 | 4.59 | 13.55 |\n| --- | --- | --- | --- | --- | --- |\n| B | 3.36 | 1.51 | 10.47 | 4.87 | 13.83 |",1]
["| Cut | links<br>(ME) | attributes | both(CME) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| d=4 | d=1000 | d=4 | d=1000 |  |  |\n| nocut | 3.41 | 1.89 | 10.86 | 5.30 | 14.27 |","| B | 2.93 | 1.43 | 9.39 | 4.35 | 12.32 |\n| --- | --- | --- | --- | --- | --- |\n| C | 3.15 | 1.56 | 9.53 | 4.72 | 12.68 |\n| A+C | 3.27 | 0.80 | 8.77 | 4.07 | 12.03 |\n| A+B | 3.18 | 0.94 | 8.91 | 4.12 | 12.08 |\n| B+C | 3.21 | 1.29 | 9.25 | 4.50 | 12.46 |\n| A+B+C | 3.61 | 0.80 | 8.77 | 4.41 | 12.38 |",0]
["| Question | Sup-BL | CCA-based<br>classiﬁer(C)2 | Ensemble | Sup-SL |\n| --- | --- | --- | --- | --- |\n| 1 | 1.57 | 1.10 | 0.52 | 1.55 |\n| 2 | 1.59 | 0.48 | 0.48 | 1.27 |\n| 3 | 1.18 | 0.81 | 0.81 | 0.66 |\n| 4 | 0.59 | 0.16 | 0.16 | 0.50 |\n| 5 | 0.72 | 0.19 | 0.19 | 0.59 |\n| 6 | 1.31 | 0.55 | 0.55 | 1.17 |\n| 7 | 0.71 | 2.48 | 2.23 | 0.58 |\n| 8 | 0.74 | 0.90 | 0.84 | 0.63 |\n| 9 | 0.90 | 0.35 | 0.35 | 0.53 |\n| 10 | 1.09 | 1.19 | 1.23 | 0.47 |\n| 11 | 0.70 | 0.74 | 0.74 | 0.07 |\n| 12 | 1.70 | 1.52 | 1.52 | 1.53 |","| 13 | 0.78 | 0.26 | 0.26 | 0.52 |\n| --- | --- | --- | --- | --- |\n| 14 | 1.29 | 0.65 | 0.65 | 0.90 |\n| 15 | 0.61 | 0.23 | 0.23 | 0.33 |\n| 16 | 0.78 | 0.35 | 0.35 | 0.27 |\n| 17 | 0.76 | 1.32 | 1.00 | 0.70 |\n| 18 | 0.91 | 0.48 | 0.48 | 1.16 |\n| 19 | 0.87 | 1.03 | 1.03 | 0.47 |\n| 20 | 0.59 | 0.39 | 0.39 | 0.26 |\n| 21 | 0.62 | 0.23 | 0.23 | 0.57 |",1]
["| Question | Sup-BL | CCA-based<br>classiﬁer(C)2 | Ensemble | Sup-SL |\n| --- | --- | --- | --- | --- |\n| 1 | 1.57 | 1.10 | 0.52 | 1.55 |\n| 2 | 1.59 | 0.48 | 0.48 | 1.27 |\n| 3 | 1.18 | 0.81 | 0.81 | 0.66 |\n| 4 | 0.59 | 0.16 | 0.16 | 0.50 |\n| 5 | 0.72 | 0.19 | 0.19 | 0.59 |\n| 6 | 1.31 | 0.55 | 0.55 | 1.17 |\n| 7 | 0.71 | 2.48 | 2.23 | 0.58 |\n| 8 | 0.74 | 0.90 | 0.84 | 0.63 |\n| 9 | 0.90 | 0.35 | 0.35 | 0.53 |\n| 10 | 1.09 | 1.19 | 1.23 | 0.47 |\n| 11 | 0.70 | 0.74 | 0.74 | 0.07 |\n| 12 | 1.70 | 1.52 | 1.52 | 1.53 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| Question | Sup-BL | CCA-based<br>classiﬁer(C)2 | Ensemble | Sup-SL |\n| --- | --- | --- | --- | --- |\n| 1 | 1.57 | 1.10 | 0.52 | 1.55 |\n| 2 | 1.59 | 0.48 | 0.48 | 1.27 |\n| 3 | 1.18 | 0.81 | 0.81 | 0.66 |\n| 4 | 0.59 | 0.16 | 0.16 | 0.50 |\n| 5 | 0.72 | 0.19 | 0.19 | 0.59 |\n| 6 | 1.31 | 0.55 | 0.55 | 1.17 |\n| 7 | 0.71 | 2.48 | 2.23 | 0.58 |\n| 8 | 0.74 | 0.90 | 0.84 | 0.63 |\n| 9 | 0.90 | 0.35 | 0.35 | 0.53 |\n| 10 | 1.09 | 1.19 | 1.23 | 0.47 |\n| 11 | 0.70 | 0.74 | 0.74 | 0.07 |\n| 12 | 1.70 | 1.52 | 1.52 | 1.53 |\n| 13 | 0.78 | 0.26 | 0.26 | 0.52 |\n| 14 | 1.29 | 0.65 | 0.65 | 0.90 |","| 15 | 0.61 | 0.23 | 0.23 | 0.33 |\n| --- | --- | --- | --- | --- |\n| 16 | 0.78 | 0.35 | 0.35 | 0.27 |\n| 17 | 0.76 | 1.32 | 1.00 | 0.70 |\n| 18 | 0.91 | 0.48 | 0.48 | 1.16 |\n| 19 | 0.87 | 1.03 | 1.03 | 0.47 |\n| 20 | 0.59 | 0.39 | 0.39 | 0.26 |\n| 21 | 0.62 | 0.23 | 0.23 | 0.57 |",1]
["| Question | Sup-BL | CCA-based<br>classiﬁer(C)2 | Ensemble | Sup-SL |\n| --- | --- | --- | --- | --- |\n| 1 | 1.57 | 1.10 | 0.52 | 1.55 |\n| 2 | 1.59 | 0.48 | 0.48 | 1.27 |\n| 3 | 1.18 | 0.81 | 0.81 | 0.66 |\n| 4 | 0.59 | 0.16 | 0.16 | 0.50 |\n| 5 | 0.72 | 0.19 | 0.19 | 0.59 |\n| 6 | 1.31 | 0.55 | 0.55 | 1.17 |\n| 7 | 0.71 | 2.48 | 2.23 | 0.58 |\n| 8 | 0.74 | 0.90 | 0.84 | 0.63 |\n| 9 | 0.90 | 0.35 | 0.35 | 0.53 |\n| 10 | 1.09 | 1.19 | 1.23 | 0.47 |\n| 11 | 0.70 | 0.74 | 0.74 | 0.07 |\n| 12 | 1.70 | 1.52 | 1.52 | 1.53 |\n| 13 | 0.78 | 0.26 | 0.26 | 0.52 |\n| 14 | 1.29 | 0.65 | 0.65 | 0.90 |","| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| User | Numberoflinks | Place |\n| --- | --- | --- |\n| Potnetworkcom | 1638 | Denver,CO |\n| eatinnstreets | 1582 | Denver,CO |","| DenverCP | 764 | Denver,CO |\n| --- | --- | --- |\n| DiegoPellicer | 654 | Seattle,WA |\n| MMEMESA | 424 | Mesa,AZ |\n| ermphd | 410 | Austin,TX |\n| OGChino | 397 | LosAngeles,CA |\n| ABGMarketplace | 343 | KansasCity,MO |\n| WeedFeed | 271 | Chicago,IL |\n| BostonCP | 270 | Boston,MA |\n| SLM420LOVE | 269 | California,CA |\n| CoCannabisCo | 266 | Oregon,OR |\n| SpeakEasySEVL | 252 | ColoradoSprings,CO |\n| ChanceTakers | 243 | Atlanta,GA |\n| grecojames | 238 | Phoenix,AZ |\n| DiabetesNewzz | 236 | NewYork,NY |\n| PhoenixCP | 233 | Phoenix,AZ |\n| 420digitalweb | 224 | Denver,CO |\n| CannabisCard | 212 | SanDiego,LA |\n| StartupCannabis | 206 | NewYork,NY |",1]
["| User | Numberoflinks | Place |\n| --- | --- | --- |\n| Potnetworkcom | 1638 | Denver,CO |\n| eatinnstreets | 1582 | Denver,CO |","|  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | NCS | Joule |  |  |  |  |  |\n| NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |\n| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 |\n| HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |\n| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |\n| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 |",0]
["| User | Numberoflinks | Place |\n| --- | --- | --- |\n| Potnetworkcom | 1638 | Denver,CO |\n| eatinnstreets | 1582 | Denver,CO |\n| DenverCP | 764 | Denver,CO |\n| DiegoPellicer | 654 | Seattle,WA |\n| MMEMESA | 424 | Mesa,AZ |\n| ermphd | 410 | Austin,TX |\n| OGChino | 397 | LosAngeles,CA |\n| ABGMarketplace | 343 | KansasCity,MO |","| WeedFeed | 271 | Chicago,IL |\n| --- | --- | --- |\n| BostonCP | 270 | Boston,MA |\n| SLM420LOVE | 269 | California,CA |\n| CoCannabisCo | 266 | Oregon,OR |\n| SpeakEasySEVL | 252 | ColoradoSprings,CO |\n| ChanceTakers | 243 | Atlanta,GA |\n| grecojames | 238 | Phoenix,AZ |\n| DiabetesNewzz | 236 | NewYork,NY |\n| PhoenixCP | 233 | Phoenix,AZ |\n| 420digitalweb | 224 | Denver,CO |\n| CannabisCard | 212 | SanDiego,LA |\n| StartupCannabis | 206 | NewYork,NY |",1]
["| User | Numberoflinks | Place |\n| --- | --- | --- |\n| Potnetworkcom | 1638 | Denver,CO |\n| eatinnstreets | 1582 | Denver,CO |\n| DenverCP | 764 | Denver,CO |\n| DiegoPellicer | 654 | Seattle,WA |\n| MMEMESA | 424 | Mesa,AZ |\n| ermphd | 410 | Austin,TX |\n| OGChino | 397 | LosAngeles,CA |\n| ABGMarketplace | 343 | KansasCity,MO |","| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |\n| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |\n| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 |",0]
["| Method | Data | Pitch | Roll | Yaw |\n| --- | --- | --- | --- | --- |\n|  | RGB+RGB-D | 5.0±5.8 | 4.3±4.6 | 3.9±4.2 |\n|  | RGB-D | 8.5±9.9 | 7.9±8.3 | 8.9±13.0 |","|  | RGB+RGB-D | 9.1±7.4 | 7.4±4.9 | 8.9±8.2 |\n| --- | --- | --- | --- | --- |\n|  | RGB+RGB-D | 5.1 | 11.2 | 6.29 |\n|  | RGB-D | 3.0±9.6 | 2.5±7.4 | 3.8±16.0 |\n| Our | RGB-D | 2.8±3.2 | 2.3±2.9 | 3.6±4.1 |\n| Our+Siamese | RGB-D | 2.3±2.7 | 2.1±2.2 | 2.8±3.3 |",1]
["| Method | Data | Pitch | Roll | Yaw |\n| --- | --- | --- | --- | --- |\n|  | RGB+RGB-D | 5.0±5.8 | 4.3±4.6 | 3.9±4.2 |\n|  | RGB-D | 8.5±9.9 | 7.9±8.3 | 8.9±13.0 |","| Method | yaw | pitch | average |\n| --- | --- | --- | --- |\n| 2-foldcrossvalidation |  |  |  |\n| KRFWS | 4.95 | 3.35 | 4.15±0.041 |\n| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |\n| AKRF | 5.45 | 3.92 | 4.68±0.072 |\n| 5-foldcrossvalidation |  |  |  |\n| KRFWS | 5.07 | 2.65 | 3.86±0.177 |\n| KRF(baseline) | 5.13 | 2.88 | 4.01±0.171 |\n| AKRF | 5.57 | 3.39 | 4.48±0.267 |",0]
["| Method | Data | Pitch | Roll | Yaw |\n| --- | --- | --- | --- | --- |\n|  | RGB+RGB-D | 5.0±5.8 | 4.3±4.6 | 3.9±4.2 |\n|  | RGB-D | 8.5±9.9 | 7.9±8.3 | 8.9±13.0 |\n|  | RGB+RGB-D | 9.1±7.4 | 7.4±4.9 | 8.9±8.2 |","|  | RGB+RGB-D | 5.1 | 11.2 | 6.29 |\n| --- | --- | --- | --- | --- |\n|  | RGB-D | 3.0±9.6 | 2.5±7.4 | 3.8±16.0 |\n| Our | RGB-D | 2.8±3.2 | 2.3±2.9 | 3.6±4.1 |\n| Our+Siamese | RGB-D | 2.3±2.7 | 2.1±2.2 | 2.8±3.3 |",1]
["| Method | Data | Pitch | Roll | Yaw |\n| --- | --- | --- | --- | --- |\n|  | RGB+RGB-D | 5.0±5.8 | 4.3±4.6 | 3.9±4.2 |\n|  | RGB-D | 8.5±9.9 | 7.9±8.3 | 8.9±13.0 |\n|  | RGB+RGB-D | 9.1±7.4 | 7.4±4.9 | 8.9±8.2 |","| KRFWS | 5.07 | 2.65 | 3.86±0.177 |\n| --- | --- | --- | --- |\n| KRF(baseline) | 5.13 | 2.88 | 4.01±0.171 |\n| AKRF | 5.57 | 3.39 | 4.48±0.267 |",0]
["| Dataset | Base | Base+E | DSM+E | Ours+E | Ourstop-15+E |\n| --- | --- | --- | --- | --- | --- |\n| Openml589 | 0.562 | 0.589 | 0.654 | 0.693 | 0.698 |","| BikeshareDC | 0.410 | 0.427 | 0.712 | 0.801 | 0.808 |\n| --- | --- | --- | --- | --- | --- |\n| Openml620 | 0.524 | 0.532 | 0.545 | 0.686 | 0.687 |\n| Housing | 0.626 | 0.629 | 0.629 | 0.685 | 0.691 |\n| Airfoil | 0.752 | 0.752 | 0.786 | 0.804 | 0.804 |",1]
["| Dataset | Base | Base+E | DSM+E | Ours+E | Ourstop-15+E |\n| --- | --- | --- | --- | --- | --- |\n| Openml589 | 0.562 | 0.589 | 0.654 | 0.693 | 0.698 |","| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Dataset | Base | Base+E | DSM+E | Ours+E | Ourstop-15+E |\n| --- | --- | --- | --- | --- | --- |\n| Openml589 | 0.562 | 0.589 | 0.654 | 0.693 | 0.698 |\n| BikeshareDC | 0.410 | 0.427 | 0.712 | 0.801 | 0.808 |\n| Openml620 | 0.524 | 0.532 | 0.545 | 0.686 | 0.687 |","| Housing | 0.626 | 0.629 | 0.629 | 0.685 | 0.691 |\n| --- | --- | --- | --- | --- | --- |\n| Airfoil | 0.752 | 0.752 | 0.786 | 0.804 | 0.804 |",1]
["| Dataset | Base | Base+E | DSM+E | Ours+E | Ourstop-15+E |\n| --- | --- | --- | --- | --- | --- |\n| Openml589 | 0.562 | 0.589 | 0.654 | 0.693 | 0.698 |\n| BikeshareDC | 0.410 | 0.427 | 0.712 | 0.801 | 0.808 |\n| Openml620 | 0.524 | 0.532 | 0.545 | 0.686 | 0.687 |","| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Reference | Randomized\\Deterministic | Variation | RunningTime |\n| --- | --- | --- | --- |\n| Chenetal. | D | (3,p)-SP | ∗O(p)<br>O(p) |\n| Downeyetal. | D | (3,p)-WSP | O(p) |\n| Fellowsetal. | D | (3,p)-WSP | O(2) |\n| Liuetal. | D | (3,p)-WSP | O(2,0097.152) |\n| Koutis | D<br>R | (3,p)-SP<br>(3,p)-SP | O(2)<br>∗p<br>O(1,285.475) |","| Wangetal. | D | (3,p)-WSP | O(432.082) |\n| --- | --- | --- | --- |\n| Chenetal. | D | (3,p)-DM | O(21.907) |\n| Liuetal. | D<br>D<br>R | (3,p)-SP<br>(3,p)-DM<br>(3,p)-DM | O(97.973)<br>∗p<br>O(21.254)<br>∗p<br>O(12.488) |\n| Chenetal. | D<br>R | (3,p)-WSP<br>(3,p)-WSP | O(64)<br>∗p+o(p)<br>O(16) |\n| Wangetal. | D | (3,p)-SP | O(43.615) |\n| Chenetal. | D<br>D | (3,p)-WSP<br>(3,p)-WDM | O(32)<br>∗p+o(p)<br>O(16) |\n| Koutis | R | (3,p)-SP | O(8) |\n| Koutisetal. | R | (3,p)-DM | O(4) |\n| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |\n| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) |",1]
["| Reference | Randomized\\Deterministic | Variation | RunningTime |\n| --- | --- | --- | --- |\n| Chenetal. | D | (3,p)-SP | ∗O(p)<br>O(p) |\n| Downeyetal. | D | (3,p)-WSP | O(p) |\n| Fellowsetal. | D | (3,p)-WSP | O(2) |\n| Liuetal. | D | (3,p)-WSP | O(2,0097.152) |\n| Koutis | D<br>R | (3,p)-SP<br>(3,p)-SP | O(2)<br>∗p<br>O(1,285.475) |","| Reference | Variant | ∆=3 | ∆=4 | ∆=5 | ∆=6 |\n| --- | --- | --- | --- | --- | --- |\n| Zehavi | Directed | ∗k<br>O(2.51985) | ∗k<br>O(2.99662) | ∗k<br>O(3.24901) | ∗k<br>O(3.40267) |\n| Corollary?? | Undirected | O(2.24493) | O(2.66968) | O(2.87787) | O(3.00355) |\n| Raibleetal. | Undirected | ∗n<br>O(1.96799) | ∗n<br>O(1.98735) | ∗n<br>O(1.99376) | ∗n<br>O(1.99777) |\n| Corollary?? | Undirected | O(1.71449) | O(1.80251) | O(1.82948) | O(1.84227) |",0]
["| Reference | Randomized\\Deterministic | Variation | RunningTime |\n| --- | --- | --- | --- |\n| Chenetal. | D | (3,p)-SP | ∗O(p)<br>O(p) |\n| Downeyetal. | D | (3,p)-WSP | O(p) |","| Fellowsetal. | D | (3,p)-WSP | O(2) |\n| --- | --- | --- | --- |\n| Liuetal. | D | (3,p)-WSP | O(2,0097.152) |\n| Koutis | D<br>R | (3,p)-SP<br>(3,p)-SP | O(2)<br>∗p<br>O(1,285.475) |\n| Wangetal. | D | (3,p)-WSP | O(432.082) |\n| Chenetal. | D | (3,p)-DM | O(21.907) |\n| Liuetal. | D<br>D<br>R | (3,p)-SP<br>(3,p)-DM<br>(3,p)-DM | O(97.973)<br>∗p<br>O(21.254)<br>∗p<br>O(12.488) |\n| Chenetal. | D<br>R | (3,p)-WSP<br>(3,p)-WSP | O(64)<br>∗p+o(p)<br>O(16) |\n| Wangetal. | D | (3,p)-SP | O(43.615) |\n| Chenetal. | D<br>D | (3,p)-WSP<br>(3,p)-WDM | O(32)<br>∗p+o(p)<br>O(16) |\n| Koutis | R | (3,p)-SP | O(8) |\n| Koutisetal. | R | (3,p)-DM | O(4) |\n| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |\n| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) |",1]
["| Reference | Randomized\\Deterministic | Variation | RunningTime |\n| --- | --- | --- | --- |\n| Chenetal. | D | (3,p)-SP | ∗O(p)<br>O(p) |\n| Downeyetal. | D | (3,p)-WSP | O(p) |","| Raibleetal. | Undirected | ∗n<br>O(1.96799) | ∗n<br>O(1.98735) | ∗n<br>O(1.99376) | ∗n<br>O(1.99777) |\n| --- | --- | --- | --- | --- | --- |\n| Corollary?? | Undirected | O(1.71449) | O(1.80251) | O(1.82948) | O(1.84227) |",0]
["| Market | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |\n| Anzhi | 2957 | 12260 |","| AppChina | 1845 | 4154 |\n| --- | --- | --- |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |\n| FDroid | 29 | 2 |\n| Angeeks | 6 | 27 |",1]
["| Market | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |\n| Anzhi | 2957 | 12260 |","| MarketName | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |\n| Anzhi | 2957 | 12260 |\n| AppChina | 1845 | 4154 |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |\n| FDroid | 29 | 2 |\n| Angeeks | 6 | 27 |",0]
["| Market | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |","| Anzhi | 2957 | 12260 |\n| --- | --- | --- |\n| AppChina | 1845 | 4154 |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |\n| FDroid | 29 | 2 |\n| Angeeks | 6 | 27 |",1]
["| Market | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |","| FDroid | 29 | 2 |\n| --- | --- | --- |\n| Angeeks | 6 | 27 |",0]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |","| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| --- | --- | --- | --- |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",1]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |","| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 96.0/96.5 | 8.7/25.4 | 3.2/6.7 |\n| EP | 3.9/14.1 | 95.3/96.2 | 4.5/6.4 |\n| JRC | 1.9/3.7 | 7.0/12.4 | 96.8/96.7 |",0]
["| Ssrc | Stgt |  |\n| --- | --- | --- |\n| OS | EP | JRC |","| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |\n| --- | --- | --- | --- |\n| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |\n| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 |",1]
["| Ssrc | Stgt |  |\n| --- | --- | --- |\n| OS | EP | JRC |","| EP | 3.9/14.1 | 95.3/96.2 | 4.5/6.4 |\n| --- | --- | --- | --- |\n| JRC | 1.9/3.7 | 7.0/12.4 | 96.8/96.7 |",0]
["| FlowGeneratedBy | AverageFlowSpeed(m/s) |\n| --- | --- |\n| Dysononveryhigh | 1.99 |\n| Dysononhigh | 1.80 |\n| Dysononmedium | 1.72 |\n| Dysononlow | 1.46 |","| Dysononverylow | 1.37 |\n| --- | --- |\n| Honeywellonhigh | 1.92 |\n| Honeywellonlow | 1.48 |",1]
["| FlowGeneratedBy | AverageFlowSpeed(m/s) |\n| --- | --- |\n| Dysononveryhigh | 1.99 |\n| Dysononhigh | 1.80 |\n| Dysononmedium | 1.72 |\n| Dysononlow | 1.46 |","|  | Finalpass |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 |\n| FlowFields | 5.810 | 2.621 | 31.799 | 4.851 | 33.890 | 3.748 | 1.056 | 25.700 | 2.784 |\n| FullFlow | 5.895 | 2.838 | 30.793 | 4.905 | 35.592 | 3.601 | 1.296 | 22.424 | 2.944 |\n| DiscreteFlow | 6.077 | 2.937 | 31.685 | 5.106 | 36.339 | 3.567 | 1.108 | 23.626 | 3.398 |\n| EpicFlow | 6.285 | 3.060 | 32.564 | 5.205 | 38.021 | 4.115 | 1.360 | 26.595 | 3.660 |\n| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 |\n| NNF-Local | 7.249 | 2.973 | 42.088 | 4.896 | 44.866 | 5.386 | 1.397 | 37.896 | 2.722 |\n| PH-Flow | 7.423 | 3.795 | 36.960 | 5.550 | 44.926 | 4.388 | 1.714 | 26.202 | 3.612 |\n| Classic+NL | 9.153 | 4.814 | 44.509 | 7.215 | 60.291 | 7.961 | 3.770 | 42.079 | 6.191 |",0]
["| FlowGeneratedBy | AverageFlowSpeed(m/s) |\n| --- | --- |\n| Dysononveryhigh | 1.99 |\n| Dysononhigh | 1.80 |\n| Dysononmedium | 1.72 |\n| Dysononlow | 1.46 |\n| Dysononverylow | 1.37 |","| Honeywellonhigh | 1.92 |\n| --- | --- |\n| Honeywellonlow | 1.48 |",1]
["| FlowGeneratedBy | AverageFlowSpeed(m/s) |\n| --- | --- |\n| Dysononveryhigh | 1.99 |\n| Dysononhigh | 1.80 |\n| Dysononmedium | 1.72 |\n| Dysononlow | 1.46 |\n| Dysononverylow | 1.37 |","| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NNF-Local | 7.249 | 2.973 | 42.088 | 4.896 | 44.866 | 5.386 | 1.397 | 37.896 | 2.722 |\n| PH-Flow | 7.423 | 3.795 | 36.960 | 5.550 | 44.926 | 4.388 | 1.714 | 26.202 | 3.612 |\n| Classic+NL | 9.153 | 4.814 | 44.509 | 7.215 | 60.291 | 7.961 | 3.770 | 42.079 | 6.191 |",0]
["| Cell | Mode | Way | Energy(nJ/B) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 2.90 | 5.01 | 5.47 | 1.09 | 1.89 |\n| 2 | 1.48 | 2.53 | 2.65 | 1.05 | 1.80 |  |  |\n| 4 | 0.78 | 1.32 | 1.36 | 1.03 | 1.74 |  |  |\n| 8 | 0.57 | 0.76 | 0.74 | 0.97 | 1.30 |  |  |\n| 16 | 0.57 | 0.69 | 0.48 | 0.69 | 0.84 |  |  |\n| ‡<br>Mean | 1.26 | 2.06 | 2.14 | 0.95 | 1.45 |  |  |","| Read | 1 | 0.81 | 1.15 | 0.97 | 0.85 | 1.20 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.53 | 0.63 | 0.66 | 1.06 | 1.25 |  |\n| 4 | 0.53 | 0.63 | 0.40 | 0.63 | 0.75 |  |\n| 8 | 0.53 | 0.63 | 0.40 | 0.63 | 0.75 |  |\n| 16 | 0.53 | 0.63 | 0.40 | 0.63 | 0.75 |  |\n| Mean | 0.58 | 0.73 | 0.56 | 0.74 | 0.91 |  |",1]
["| Cell | Mode | Way | Energy(nJ/B) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 2.90 | 5.01 | 5.47 | 1.09 | 1.89 |\n| 2 | 1.48 | 2.53 | 2.65 | 1.05 | 1.80 |  |  |\n| 4 | 0.78 | 1.32 | 1.36 | 1.03 | 1.74 |  |  |\n| 8 | 0.57 | 0.76 | 0.74 | 0.97 | 1.30 |  |  |\n| 16 | 0.57 | 0.69 | 0.48 | 0.69 | 0.84 |  |  |\n| ‡<br>Mean | 1.26 | 2.06 | 2.14 | 0.95 | 1.45 |  |  |","| Cell | Mode | Ch-<br>Way | Performance(MB/s) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |\n| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 |  |  |\n| 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 |  |  |\n| ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 |  |  |\n| Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |\n| 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 |  |  |\n| 4-4 | 155.35 | 237.61 | §<br>max | – | – |  |  |\n| Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 |  |  |\n| MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |\n| 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 |  |  |\n| 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 |  |  |\n| Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 |  |  |\n| Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 |  |  |\n| 4-4 | 150.94 | 230.17 | max | – | – |  |  |\n| Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 |  |  |",0]
["| Cell | Mode | Way | Energy(nJ/B) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 2.90 | 5.01 | 5.47 | 1.09 | 1.89 |\n| 2 | 1.48 | 2.53 | 2.65 | 1.05 | 1.80 |  |  |\n| 4 | 0.78 | 1.32 | 1.36 | 1.03 | 1.74 |  |  |\n| 8 | 0.57 | 0.76 | 0.74 | 0.97 | 1.30 |  |  |","| 16 | 0.57 | 0.69 | 0.48 | 0.69 | 0.84 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ‡<br>Mean | 1.26 | 2.06 | 2.14 | 0.95 | 1.45 |  |\n| Read | 1 | 0.81 | 1.15 | 0.97 | 0.85 | 1.20 |\n| 2 | 0.53 | 0.63 | 0.66 | 1.06 | 1.25 |  |\n| 4 | 0.53 | 0.63 | 0.40 | 0.63 | 0.75 |  |\n| 8 | 0.53 | 0.63 | 0.40 | 0.63 | 0.75 |  |\n| 16 | 0.53 | 0.63 | 0.40 | 0.63 | 0.75 |  |\n| Mean | 0.58 | 0.73 | 0.56 | 0.74 | 0.91 |  |",1]
["| Cell | Mode | Way | Energy(nJ/B) | Ratio |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| †<br>C | S | P | P/S | P/C |  |  |  |\n| SLC | Write | 1 | 2.90 | 5.01 | 5.47 | 1.09 | 1.89 |\n| 2 | 1.48 | 2.53 | 2.65 | 1.05 | 1.80 |  |  |\n| 4 | 0.78 | 1.32 | 1.36 | 1.03 | 1.74 |  |  |\n| 8 | 0.57 | 0.76 | 0.74 | 0.97 | 1.30 |  |  |","| SLC | Write | 1-16 | 39.76 | 60.44 | 97.35 | 1.61 | 2.45 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2-8 | 74.07 | 101.99 | 114.83 | 1.13 | 1.55 |  |  |\n| 4-4 | 103.76 | 115.68 | 123.52 | 1.07 | 1.19 |  |  |\n| ‡<br>Mean | 72.53 | 92.70 | 111.90 | 1.25 | 1.65 |  |  |\n| Read | 1-16 | 42.69 | 67.11 | 117.59 | 1.75 | 2.75 |  |\n| 2-8 | 81.44 | 126.70 | 224.82 | 1.77 | 2.76 |  |  |\n| 4-4 | 155.35 | 237.61 | §<br>max | – | – |  |  |\n| Mean | 93.16 | 143.81 | 235.25 | 1.76 | 2.76 |  |  |\n| MLC | Write | 1-16 | 32.45 | 45.99 | 57.23 | 1.24 | 1.76 |\n| 2-8 | 48.72 | 56.83 | 64.75 | 1.14 | 1.33 |  |  |\n| 4-4 | 57.46 | 63.55 | 68.49 | 1.08 | 1.19 |  |  |\n| Mean | 46.21 | 55.46 | 63.49 | 1.15 | 1.41 |  |  |\n| Read | 1-16 | 41.50 | 64.73 | 110.52 | 1.71 | 2.66 |  |\n| 2-8 | 79.32 | 122.48 | 201.42 | 1.64 | 2.54 |  |  |\n| 4-4 | 150.94 | 230.17 | max | – | – |  |  |\n| Mean | 90.59 | 139.13 | 217.18 | 1.68 | 2.60 |  |  |",0]
["| MethodNameDescription |\n| --- |\n| ExtractEmailAddressFileReturnsEmailaddressesexistinﬁle |\n| ExtractEmailAddressSentenceReturnsEmailaddressesexistinasentence |","| ExtractIPAddressSentenceReturnsIPaddressesexistinasentence |\n| --- |\n| ExtractIPAddressFileReturnsIPaddressesexistinﬁle |",1]
["| MethodNameDescription |\n| --- |\n| ExtractEmailAddressFileReturnsEmailaddressesexistinﬁle |\n| ExtractEmailAddressSentenceReturnsEmailaddressesexistinasentence |","| MethodNameDescription |\n| --- |\n| ExtractSynonymWordreturnssynonymsofaword |\n| ExtractHypernymWordreturnshyponymsofaword |\n| ExtractSynonymSentencereturnssynonymsofwordsinasentence |\n| ExtractSynonymFilereturnssynonymsofwordsinaﬁle |",0]
["| MethodNameDescription |\n| --- |\n| ExtractEmailAddressFileReturnsEmailaddressesexistinﬁle |","| ExtractEmailAddressSentenceReturnsEmailaddressesexistinasentence |\n| --- |\n| ExtractIPAddressSentenceReturnsIPaddressesexistinasentence |\n| ExtractIPAddressFileReturnsIPaddressesexistinﬁle |",1]
["| MethodNameDescription |\n| --- |\n| ExtractEmailAddressFileReturnsEmailaddressesexistinﬁle |","| ExtractSynonymSentencereturnssynonymsofwordsinasentence |\n| --- |\n| ExtractSynonymFilereturnssynonymsofwordsinaﬁle |",0]
["|  | TypeofsubsetsX\\|X | OutsidetypesofverticesinX\\|X | α |\n| --- | --- | --- | --- |\n| 1<br>2 | complete\\|common<br>complete\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common | (0,1)<br>(0,1) |\n| 3<br>4<br>5<br>6 | dense\\|common<br>dense\\|common<br>dense\\|common<br>dense\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,4/5)<br>(0,1)<br>(0,1/3)<br>(0,1/2) |\n| 7<br>8<br>9<br>10 | independent\\|common<br>independent\\|common<br>independent\\|common<br>independent\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,1)<br>(0,1)<br>(0,1/3)<br>(0,1) |\n| 11<br>12 | independent\\|sparse<br>independent\\|sparse | common\\|isolated,common<br>common\\|common | [2/3,1)<br>[2/3,1) |","| 13<br>14<br>15 | sparse\\|sparse<br>sparse\\|sparse<br>sparse\\|sparse | isolated,common\\|isolated,common<br>isolated,common\\|common<br>common\\|common | [1/2,1)<br>[1/2,1)<br>[1/2,1) |\n| --- | --- | --- | --- |\n| 16<br>17<br>18<br>19<br>20<br>21 | sparse\\|common<br>sparse\\|common<br>sparse\\|common<br>sparse\\|common<br>sparse\\|common<br>sparse\\|common | isolated,common\\|isolated,common<br>isolated,common\\|common<br>common\\|common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|dominating,isolated,common | [1/2,1)<br>[1/2,1)<br>(0,1)<br>(0,1)<br>(0,1/2)<br>(0,1) |\n| 22<br>23<br>24<br>25<br>26 | common\\|common<br>common\\|common<br>common\\|common<br>common\\|common<br>common\\|common | isolated,common\\|isolated,common<br>common\\|common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|dominating,isolated,common | [1/2,1)<br>(0,1)<br>(0,1)<br>(0,1/2)<br>(0,5/6) |",1]
["|  | TypeofsubsetsX\\|X | OutsidetypesofverticesinX\\|X | α |\n| --- | --- | --- | --- |\n| 1<br>2 | complete\\|common<br>complete\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common | (0,1)<br>(0,1) |\n| 3<br>4<br>5<br>6 | dense\\|common<br>dense\\|common<br>dense\\|common<br>dense\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,4/5)<br>(0,1)<br>(0,1/3)<br>(0,1/2) |\n| 7<br>8<br>9<br>10 | independent\\|common<br>independent\\|common<br>independent\\|common<br>independent\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,1)<br>(0,1)<br>(0,1/3)<br>(0,1) |\n| 11<br>12 | independent\\|sparse<br>independent\\|sparse | common\\|isolated,common<br>common\\|common | [2/3,1)<br>[2/3,1) |","| Ω1 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 2<br>2<br>4<br>3<br>12 | 2<br>2<br>5<br>6<br>18 | 5<br>5<br>10<br>13<br>21 | 8<br>11<br>16<br>23<br>23 | 8<br>12<br>19<br>24<br>24 | 9<br>13<br>21<br>23<br>24 |\n| Ω2 |  |  |  |  |  |  |\n| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 7<br>7<br>9<br>8<br>12 | 7<br>7<br>13<br>10<br>19 | 7<br>8<br>18<br>13<br>23 | 10<br>11<br>21<br>18<br>25 | 11<br>12<br>22<br>20<br>27 | 12<br>12<br>25<br>21<br>31 |",0]
["|  | TypeofsubsetsX\\|X | OutsidetypesofverticesinX\\|X | α |\n| --- | --- | --- | --- |\n| 1<br>2 | complete\\|common<br>complete\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common | (0,1)<br>(0,1) |\n| 3<br>4<br>5<br>6 | dense\\|common<br>dense\\|common<br>dense\\|common<br>dense\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,4/5)<br>(0,1)<br>(0,1/3)<br>(0,1/2) |\n| 7<br>8<br>9<br>10 | independent\\|common<br>independent\\|common<br>independent\\|common<br>independent\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,1)<br>(0,1)<br>(0,1/3)<br>(0,1) |\n| 11<br>12 | independent\\|sparse<br>independent\\|sparse | common\\|isolated,common<br>common\\|common | [2/3,1)<br>[2/3,1) |\n| 13<br>14<br>15 | sparse\\|sparse<br>sparse\\|sparse<br>sparse\\|sparse | isolated,common\\|isolated,common<br>isolated,common\\|common<br>common\\|common | [1/2,1)<br>[1/2,1)<br>[1/2,1) |","| 16<br>17<br>18<br>19<br>20<br>21 | sparse\\|common<br>sparse\\|common<br>sparse\\|common<br>sparse\\|common<br>sparse\\|common<br>sparse\\|common | isolated,common\\|isolated,common<br>isolated,common\\|common<br>common\\|common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|dominating,isolated,common | [1/2,1)<br>[1/2,1)<br>(0,1)<br>(0,1)<br>(0,1/2)<br>(0,1) |\n| --- | --- | --- | --- |\n| 22<br>23<br>24<br>25<br>26 | common\\|common<br>common\\|common<br>common\\|common<br>common\\|common<br>common\\|common | isolated,common\\|isolated,common<br>common\\|common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|dominating,isolated,common | [1/2,1)<br>(0,1)<br>(0,1)<br>(0,1/2)<br>(0,5/6) |",1]
["|  | TypeofsubsetsX\\|X | OutsidetypesofverticesinX\\|X | α |\n| --- | --- | --- | --- |\n| 1<br>2 | complete\\|common<br>complete\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common | (0,1)<br>(0,1) |\n| 3<br>4<br>5<br>6 | dense\\|common<br>dense\\|common<br>dense\\|common<br>dense\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,4/5)<br>(0,1)<br>(0,1/3)<br>(0,1/2) |\n| 7<br>8<br>9<br>10 | independent\\|common<br>independent\\|common<br>independent\\|common<br>independent\\|common | common\\|dominating,isolated,common<br>common\\|isolated,common<br>common\\|dominating,common<br>common\\|common | (0,1)<br>(0,1)<br>(0,1/3)<br>(0,1) |\n| 11<br>12 | independent\\|sparse<br>independent\\|sparse | common\\|isolated,common<br>common\\|common | [2/3,1)<br>[2/3,1) |\n| 13<br>14<br>15 | sparse\\|sparse<br>sparse\\|sparse<br>sparse\\|sparse | isolated,common\\|isolated,common<br>isolated,common\\|common<br>common\\|common | [1/2,1)<br>[1/2,1)<br>[1/2,1) |","| Ω2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #submeshes | 16 | 32 | 64 | 128 | 160 | 192 |\n| ParMETIS<br>RCB<br>MSFC<br>HSFC<br>Zoltan/HSFC | 7<br>7<br>9<br>8<br>12 | 7<br>7<br>13<br>10<br>19 | 7<br>8<br>18<br>13<br>23 | 10<br>11<br>21<br>18<br>25 | 11<br>12<br>22<br>20<br>27 | 12<br>12<br>25<br>21<br>31 |",0]
["| v | ρ(v) | d | v | ρ(v) | d |\n| --- | --- | --- | --- | --- | --- |\n| T1 | (−0.7,1.61) | (4,3,3) | f1,0 | (0.62,−0.48) | (1,3,2) |\n| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |\n| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |\n| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |\n| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |\n| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |","| a2 | (−1.68,−0.86) | (4,0,4) | f1,1 | (0.79,−1.46) | (2,4,3) |\n| --- | --- | --- | --- | --- | --- |\n| a3 | (1.62,0.34) | (3,4,0) | t2,1 | (−1.97,1.27) | (5,3,5) |\n| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |\n| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |\n| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |\n| t1,0 | (−0.15,−1.11) | (2,4,3) |  |  |  |",1]
["| v | ρ(v) | d | v | ρ(v) | d |\n| --- | --- | --- | --- | --- | --- |\n| T1 | (−0.7,1.61) | (4,3,3) | f1,0 | (0.62,−0.48) | (1,3,2) |\n| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |\n| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |\n| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |\n| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |\n| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |","| D | T1 | T2 | T3 |\n| --- | --- | --- | --- |\n| 0.50 | (0,1,5) | (0,2,10) | (0,1.5,15) |\n| 0.75 | (0,1,5) | (0,3.5,10) | (0,3,15) |\n| 1.00 | (0,2,5) | (0,4,10) | (0,3,15) |\n| 1.25 | (0,1,5) | (0,6.5,10) | (0,6,15) |\n| 1.50 | (0,2,5) | (0,7,10) | (0,6,15) |\n| 1.75 | (0,3,5) | (0,7.5,10) | (0,6,15) |\n| 2.00 | (0,4,5) | (0,6,10) | (0,9,15) |",0]
["| v | ρ(v) | d | v | ρ(v) | d |\n| --- | --- | --- | --- | --- | --- |\n| T1 | (−0.7,1.61) | (4,3,3) | f1,0 | (0.62,−0.48) | (1,3,2) |\n| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |\n| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |\n| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |\n| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |\n| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |\n| a2 | (−1.68,−0.86) | (4,0,4) | f1,1 | (0.79,−1.46) | (2,4,3) |\n| a3 | (1.62,0.34) | (3,4,0) | t2,1 | (−1.97,1.27) | (5,3,5) |\n| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |\n| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |","| b3 | (1.6,0.26) | (3,4,1) | f3,1 | (1.27,1.28) | (3,4,2) |\n| --- | --- | --- | --- | --- | --- |\n| t1,0 | (−0.15,−1.11) | (2,4,3) |  |  |  |",1]
["| v | ρ(v) | d | v | ρ(v) | d |\n| --- | --- | --- | --- | --- | --- |\n| T1 | (−0.7,1.61) | (4,3,3) | f1,0 | (0.62,−0.48) | (1,3,2) |\n| T2 | (−0.45,0.85) | (4,3,3) | t2,0 | (−1.35,0.9) | (4,2,4) |\n| N1 | (−0.36,0.65) | (3,3,3) | f2,0 | (−1.08,−0.06) | (3,1,3) |\n| T1 | (−0.7,1.61) | (4,3,3) | t3,0 | (0.28,1.43) | (3,4,2) |\n| F | (−0.35,−0.75) | (3,3,3) | f3,0 | (0.64,0.51) | (2,3,1) |\n| a1 | (1.57,−0.74) | (0,4,3) | t1,1 | (−0.25,−1.87) | (3,5,4) |\n| a2 | (−1.68,−0.86) | (4,0,4) | f1,1 | (0.79,−1.46) | (2,4,3) |\n| a3 | (1.62,0.34) | (3,4,0) | t2,1 | (−1.97,1.27) | (5,3,5) |\n| b1 | (1.55,−0.81) | (1,4,3) | f2,1 | (−2.03,0.14) | (4,2,4) |\n| b2 | (−1.62,−0.9) | (4,1,4) | t3,1 | (0.58,2.12) | (4,5,3) |","| 0.75 | (0,1,5) | (0,3.5,10) | (0,3,15) |\n| --- | --- | --- | --- |\n| 1.00 | (0,2,5) | (0,4,10) | (0,3,15) |\n| 1.25 | (0,1,5) | (0,6.5,10) | (0,6,15) |\n| 1.50 | (0,2,5) | (0,7,10) | (0,6,15) |\n| 1.75 | (0,3,5) | (0,7.5,10) | (0,6,15) |\n| 2.00 | (0,4,5) | (0,6,10) | (0,9,15) |",0]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7385 | baiden-amissah | tuzzolino |\n| 0.7429 | castrechini | prawirohardjo |\n| 0.7500 | eykhof | sliz |\n| 0.7429 | keays | goeby |","| 0.7586 | lera | pagni |\n| --- | --- | --- |\n| 0.7391 | tempalar | sedcole |",1]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7385 | baiden-amissah | tuzzolino |\n| 0.7429 | castrechini | prawirohardjo |\n| 0.7500 | eykhof | sliz |\n| 0.7429 | keays | goeby |","| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7347 | blocklar | sahinagic |\n| 0.7458 | frankenfeld | dhumatkar |\n| 0.7429 | kolin | wendly |\n| 0.7429 | lehky | turcon |\n| 0.7368 | quinney | foica |\n| 0.7407 | runt | meij |",0]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7385 | baiden-amissah | tuzzolino |","| 0.7429 | castrechini | prawirohardjo |\n| --- | --- | --- |\n| 0.7500 | eykhof | sliz |\n| 0.7429 | keays | goeby |\n| 0.7586 | lera | pagni |\n| 0.7391 | tempalar | sedcole |",1]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7385 | baiden-amissah | tuzzolino |","| 0.7429 | kolin | wendly |\n| --- | --- | --- |\n| 0.7429 | lehky | turcon |\n| 0.7368 | quinney | foica |\n| 0.7407 | runt | meij |",0]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |","| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",1]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 59.7<br>40.7<br>32.1<br>29.5<br>27.0 | 3257.2<br>744.0<br>325.7<br>199.2<br>140.7 | 1049774<br>1049813<br>1050066<br>1049869<br>1049849 | 6.62<br>6.62<br>6.62<br>6.62<br>6.62 | 342.3<br>343.5<br>343.4<br>345.9<br>345.4 | 100.73<br>101.26<br>101.73<br>102.07<br>102.29 | 0.279<br>0.255<br>0.235<br>0.219<br>0.205 | 2.213<br>2.189<br>2.173<br>2.163<br>2.155 | 7.66<br>7.56<br>7.46<br>7.45<br>7.34 | 9.3<br>9.1<br>9.0<br>9.0<br>9.0 | 7.43<br>7.33<br>7.25<br>7.24<br>7.15 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",0]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |","| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",1]
["| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |","| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",0]
["|  | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |\n| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |\n| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrilice | 159 | 159 |","| 4. | zasrpsku | 222 | 222 | narodnimnovinama | 129 | 129 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5. | uskladu | 202 | 202 | narodnejazz | 111 | 1 |\n| 6. | nasnagu | 172 | 172 | manjinugradu | 78 | 1 |\n| 7. | oosiguranju | 134 | 43 | ovogasporazuma | 72 | 1 |\n| 8. | unarodnim | 129 | 129 | crvenogkristala | 72 | 3 |\n| 9. | narodnimnovinama | 129 | 129 | skladuprovjeriti | 67 | 1 |\n| 10. | crvenogkriˇza | 99 | 2 | oruˇzanihsukoba | 58 | 4 |",1]
["|  | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |\n| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |\n| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrilice | 159 | 159 |","| verb | Englishgloss | #ofsentences | #ofsenses | lowerbound |\n| --- | --- | --- | --- | --- |\n| ataeru | give | 136 | 4 | 66.9 |\n| kakeru | hang | 160 | 29 | 25.6 |\n| kuwaeru | add | 167 | 5 | 53.9 |\n| noru | ride | 126 | 10 | 45.2 |\n| osameru | govern | 108 | 8 | 25.0 |\n| tsukuru | make | 126 | 15 | 19.8 |\n| toru | take | 84 | 29 | 26.2 |\n| umu | bearoﬀspring | 90 | 2 | 81.1 |\n| wakaru | understand | 60 | 5 | 48.3 |\n| yameru | stop | 54 | 2 | 59.3 |\n| total | — | 1111 | — | 43.7 |",0]
["|  | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |\n| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |\n| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrilice | 159 | 159 |\n| 4. | zasrpsku | 222 | 222 | narodnimnovinama | 129 | 129 |\n| 5. | uskladu | 202 | 202 | narodnejazz | 111 | 1 |","| 6. | nasnagu | 172 | 172 | manjinugradu | 78 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 7. | oosiguranju | 134 | 43 | ovogasporazuma | 72 | 1 |\n| 8. | unarodnim | 129 | 129 | crvenogkristala | 72 | 3 |\n| 9. | narodnimnovinama | 129 | 129 | skladuprovjeriti | 67 | 1 |\n| 10. | crvenogkriˇza | 99 | 2 | oruˇzanihsukoba | 58 | 4 |",1]
["|  | inselectivity<br>in<br>wordstupleew | outselectivity<br>out<br>wordstupleew |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1. | narodnenovine | 326 | 326 | srpskunacionalnu | 222 | 222 |\n| 2. | natemelju | 317 | 317 | nacionalnupripadnost | 183 | 1 |\n| 3. | nacionalnumanjinu | 275 | 2 | ovjesnejedrilice | 159 | 159 |\n| 4. | zasrpsku | 222 | 222 | narodnimnovinama | 129 | 129 |\n| 5. | uskladu | 202 | 202 | narodnejazz | 111 | 1 |","| toru | take | 84 | 29 | 26.2 |\n| --- | --- | --- | --- | --- |\n| umu | bearoﬀspring | 90 | 2 | 81.1 |\n| wakaru | understand | 60 | 5 | 48.3 |\n| yameru | stop | 54 | 2 | 59.3 |\n| total | — | 1111 | — | 43.7 |",0]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |","| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| --- |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",1]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |","| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",0]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |","| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| --- |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",1]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |","| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| --- |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",0]
["| Method | Recall | Precision | F |\n| --- | --- | --- | --- |\n| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |\n| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |\n| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |\n| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |\n| TextBoxes+VGG16 | 74 | 88 | 81 |\n| TextBoxes+VGG16MS | 83 | 89 | 86 |","| EAST+PVANET2xMS? | 82.7 | 92.6 | 87.4 |\n| --- | --- | --- | --- |\n| SegLink+VGG16 | 83.0 | 87.7 | 85.3 |\n| CTPN+VGG16 | 83.0 | 93.0 | 87.7 |",1]
["| Method | Recall | Precision | F |\n| --- | --- | --- | --- |\n| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |\n| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |\n| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |\n| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |\n| TextBoxes+VGG16 | 74 | 88 | 81 |\n| TextBoxes+VGG16MS | 83 | 89 | 86 |","| Method | Precision | Recall | F-score |\n| --- | --- | --- | --- |\n| HUSTMCLAB | 47.5 | 34.8 | 40.2 |\n| NJUText | 72.7 | 35.8 | 48.0 |\n| StradVision-2 | 77.5 | 36.7 | 49.8 |\n| MCLABFCN | 70.8 | 43.0 | 53.6 |\n| CTPN | 51.6 | 74.2 | 60.9 |\n| Megcii-Image++ | 72.4 | 57.0 | 63.8 |\n| Yaoetal. | 72.3 | 58.7 | 64.8 |\n| Seglink | 73.1 | 76.8 | 75.0 |\n| ArbiText | 79.2 | 73.5 | 75.9 |",0]
["| Method | Recall | Precision | F |\n| --- | --- | --- | --- |\n| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |\n| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |\n| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |\n| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |\n| TextBoxes+VGG16 | 74 | 88 | 81 |\n| TextBoxes+VGG16MS | 83 | 89 | 86 |\n| EAST+PVANET2xMS? | 82.7 | 92.6 | 87.4 |","| SegLink+VGG16 | 83.0 | 87.7 | 85.3 |\n| --- | --- | --- | --- |\n| CTPN+VGG16 | 83.0 | 93.0 | 87.7 |",1]
["| Method | Recall | Precision | F |\n| --- | --- | --- | --- |\n| PixelLink+VGG162s | 83.6 | 86.4 | 84.5 |\n| PixelLink+VGG164s | 82.3 | 84.4 | 83.3 |\n| PixelLink+VGG162sMS | 87.5 | 88.6 | 88.1 |\n| PixelLink+VGG164sMS | 86.5 | 88.6 | 87.5 |\n| TextBoxes+VGG16 | 74 | 88 | 81 |\n| TextBoxes+VGG16MS | 83 | 89 | 86 |\n| EAST+PVANET2xMS? | 82.7 | 92.6 | 87.4 |","| Seglink | 73.1 | 76.8 | 75.0 |\n| --- | --- | --- | --- |\n| ArbiText | 79.2 | 73.5 | 75.9 |",0]
["| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Lena |  | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |\n| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 |  |","| Barbara |  | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ours | 7.75 | 4.04 | 5.82 | 1.95 | 1.24 | 5.43 |  |\n| House |  | 10.44 | 8.79 | 13.11 | 6.38 | 5.95 | 7.56 |\n| ours | 10.41 | 9.10 | 13.46 | 6.33 | 6.35 | 6.74 |  |\n| C.man |  | 9.24 | 7.38 | 10.21 | 4.34 | 4.68 | 5.26 |\n| ours | 9.26 | 7.59 | 10.40 | 4.58 | 5.22 | 5.06 |  |\n| Average |  | 9.08 | 6.92 | 9.55 | 4.61 | 4.25 | 6.45 |\n| ours | 8.95 | 6.96 | 9.75 | 4.58 | 4.50 | 5.88 |  |",1]
["| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Lena |  | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |\n| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 |  |","| σ/PSNR | 25/20.17 | 50/14.15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |\n| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |\n| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |\n| Fprint | 27.34 | 27.32 | 27.15 | 24.13 | 24.06 | 24.22 |\n| House | 32.54 | 32.37 | 33.05 | 29.64 | 29.56 | 30.21 |\n| Peppers | 30.01 | 30.33 | 30.38 | 26.75 | 26.93 | 27.09 |\n| Average | 30.31 | 30.51 | 30.43 | 27.25 | 27.42 | 27.44 |\n| σ/PSNR | 75/10.63 | 100/8.13 |  |  |  |  |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 27.22 | 27.50 | 27.41 | 26.01 | 26.36 | 26.14 |\n| Barbara | 25.42 | 25.82 | 25.20 | 24.07 | 24.46 | 23.74 |\n| Boats | 24.99 | 25.15 | 25.17 | 23.90 | 24.04 | 24.03 |\n| Fprint | 22.47 | 22.47 | 22.64 | 21.44 | 21.53 | 21.50 |\n| House | 27.79 | 27.37 | 28.18 | 26.30 | 25.98 | 26.66 |\n| Peppers | 24.72 | 24.98 | 25.13 | 23.21 | 23.56 | 23.68 |\n| Average | 25.44 | 25.55 | 25.62 | 24.16 | 24.32 | 24.29 |",0]
["| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Lena |  | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |\n| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 |  |\n| Barbara |  | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |\n| ours | 7.75 | 4.04 | 5.82 | 1.95 | 1.24 | 5.43 |  |","| House |  | 10.44 | 8.79 | 13.11 | 6.38 | 5.95 | 7.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ours | 10.41 | 9.10 | 13.46 | 6.33 | 6.35 | 6.74 |  |\n| C.man |  | 9.24 | 7.38 | 10.21 | 4.34 | 4.68 | 5.26 |\n| ours | 9.26 | 7.59 | 10.40 | 4.58 | 5.22 | 5.06 |  |\n| Average |  | 9.08 | 6.92 | 9.55 | 4.61 | 4.25 | 6.45 |\n| ours | 8.95 | 6.96 | 9.75 | 4.58 | 4.50 | 5.88 |  |",1]
["| Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Lena |  | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |\n| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 |  |\n| Barbara |  | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |\n| ours | 7.75 | 4.04 | 5.82 | 1.95 | 1.24 | 5.43 |  |","| House | 32.54 | 32.37 | 33.05 | 29.64 | 29.56 | 30.21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Peppers | 30.01 | 30.33 | 30.38 | 26.75 | 26.93 | 27.09 |\n| Average | 30.31 | 30.51 | 30.43 | 27.25 | 27.42 | 27.44 |\n| σ/PSNR | 75/10.63 | 100/8.13 |  |  |  |  |\n|  |  |  | Ours |  |  | Ours |\n| Lena | 27.22 | 27.50 | 27.41 | 26.01 | 26.36 | 26.14 |\n| Barbara | 25.42 | 25.82 | 25.20 | 24.07 | 24.46 | 23.74 |\n| Boats | 24.99 | 25.15 | 25.17 | 23.90 | 24.04 | 24.03 |\n| Fprint | 22.47 | 22.47 | 22.64 | 21.44 | 21.53 | 21.50 |\n| House | 27.79 | 27.37 | 28.18 | 26.30 | 25.98 | 26.66 |\n| Peppers | 24.72 | 24.98 | 25.13 | 23.21 | 23.56 | 23.68 |\n| Average | 25.44 | 25.55 | 25.62 | 24.16 | 24.32 | 24.29 |",0]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| GroupNumber | Group1 | Group2 | Group1 | Group2 |\n| AgeRange | 4-10 | 60-80 | 11-20 | 60-80 |","| Female | 7 | 17 | 17 | 17 |\n| --- | --- | --- | --- | --- |\n| Male | 5 | 7 | 19 | 7 |\n| Total | 12 | 24 | 36 | 24 |",1]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| GroupNumber | Group1 | Group2 | Group1 | Group2 |\n| AgeRange | 4-10 | 60-80 | 11-20 | 60-80 |","| Age | 10<br>6<br>10×nPBMC | numberofindividuals |\n| --- | --- | --- |\n| 0 | 5.03 | 48 |\n| 1-4 | 4.93 | 53 |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |\n| 20-24 | 3.88 | 26 |\n| 25-29 | 3.75 | 47 |\n| 30-34 | 3.61 | 65 |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",0]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| GroupNumber | Group1 | Group2 | Group1 | Group2 |","| AgeRange | 4-10 | 60-80 | 11-20 | 60-80 |\n| --- | --- | --- | --- | --- |\n| Female | 7 | 17 | 17 | 17 |\n| Male | 5 | 7 | 19 | 7 |\n| Total | 12 | 24 | 36 | 24 |",1]
["|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| GroupNumber | Group1 | Group2 | Group1 | Group2 |","| 20-24 | 3.88 | 26 |\n| --- | --- | --- |\n| 25-29 | 3.75 | 47 |\n| 30-34 | 3.61 | 65 |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",0]
["| Method | 1-NN | 10-NN | 100-NN |\n| --- | --- | --- | --- |\n| NUS-WIDE |  |  |  |\n| Both<br>Feature-level<br>Instance-level | 74.59<br>68.00<br>45.48 | 44.02<br>37.64<br>30.22 | 26.08<br>22.29<br>17.82 |","| SVHN |  |  |  |\n| --- | --- | --- | --- |\n| Both<br>Feature-level<br>Instance-level | 92.46<br>11.73<br>89.73 | 54.09<br>10.43<br>50.23 | 20.44<br>9.99<br>19.94 |",1]
["| Method | 1-NN | 10-NN | 100-NN |\n| --- | --- | --- | --- |\n| NUS-WIDE |  |  |  |\n| Both<br>Feature-level<br>Instance-level | 74.59<br>68.00<br>45.48 | 44.02<br>37.64<br>30.22 | 26.08<br>22.29<br>17.82 |","| Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |\n| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |\n| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |\n| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |\n| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |\n| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 |",0]
["| Method | 1-NN | 10-NN | 100-NN |\n| --- | --- | --- | --- |\n| NUS-WIDE |  |  |  |","| Both<br>Feature-level<br>Instance-level | 74.59<br>68.00<br>45.48 | 44.02<br>37.64<br>30.22 | 26.08<br>22.29<br>17.82 |\n| --- | --- | --- | --- |\n| SVHN |  |  |  |\n| Both<br>Feature-level<br>Instance-level | 92.46<br>11.73<br>89.73 | 54.09<br>10.43<br>50.23 | 20.44<br>9.99<br>19.94 |",1]
["| Method | 1-NN | 10-NN | 100-NN |\n| --- | --- | --- | --- |\n| NUS-WIDE |  |  |  |","| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |\n| --- | --- | --- | --- | --- | --- |\n| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 |",0]
["| Algorithm | kn¯QflCo |\n| --- | --- |\n| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 |","| Modularity<br>LocalDensity | 832.6250.7240.3750.7441<br>318.4190.7140.2260.5491 |\n| --- | --- |\n| EdgeBetweenness<br>CONGA | 1123.7270.7380.4550.6561<br>1195.277N/A3.9580.0762.406 |\n| LabelPropagation | 1320.0770.7350.3850.6161 |\n| Walktrap<br>Infomap | 1221.7500.7380.2500.6521<br>1715.3530.7210.7650.5101 |\n| K-Clique<br>S-Plex | 1616.125N/A1.5620.3410.989<br>963.615N/A2.4170.0701.330 |\n| LinkModularity<br>HLC | 3726.216N/A3.7300.3953.716<br>2563.734N/A2.5390.0633.663 |",1]
["| Algorithm | kn¯QflCo |\n| --- | --- |\n| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 |","| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |\n| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",0]
["| Algorithm | kn¯QflCo |\n| --- | --- |\n| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 |\n| Modularity<br>LocalDensity | 832.6250.7240.3750.7441<br>318.4190.7140.2260.5491 |\n| EdgeBetweenness<br>CONGA | 1123.7270.7380.4550.6561<br>1195.277N/A3.9580.0762.406 |\n| LabelPropagation | 1320.0770.7350.3850.6161 |\n| Walktrap<br>Infomap | 1221.7500.7380.2500.6521<br>1715.3530.7210.7650.5101 |","| K-Clique<br>S-Plex | 1616.125N/A1.5620.3410.989<br>963.615N/A2.4170.0701.330 |\n| --- | --- |\n| LinkModularity<br>HLC | 3726.216N/A3.7300.3953.716<br>2563.734N/A2.5390.0633.663 |",1]
["| Algorithm | kn¯QflCo |\n| --- | --- |\n| SocDim<br>Autopart | 1245.583N/A6.5830.4512.096<br>643.5000.30918.5000.2121 |\n| Modularity<br>LocalDensity | 832.6250.7240.3750.7441<br>318.4190.7140.2260.5491 |\n| EdgeBetweenness<br>CONGA | 1123.7270.7380.4550.6561<br>1195.277N/A3.9580.0762.406 |\n| LabelPropagation | 1320.0770.7350.3850.6161 |\n| Walktrap<br>Infomap | 1221.7500.7380.2500.6521<br>1715.3530.7210.7650.5101 |","| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |\n| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",0]
["|  | ax1 | bx2 | ax+bx12 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| latencyperiod | a | R | b | R | a | b | R |\n| papers |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 |\n| patents |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 2.4686<br>0.7454 | 0.006<br>0.1431 | -<br>0.27 | -<br>0.1013 | 1.8833<br>0.4833 | 0.3935<br>0.1254 | 0.0389<br>0.1803 |","| legal |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301 | 0.5464 |",1]
["|  | ax1 | bx2 | ax+bx12 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| latencyperiod | a | R | b | R | a | b | R |\n| papers |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 |\n| patents |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 2.4686<br>0.7454 | 0.006<br>0.1431 | -<br>0.27 | -<br>0.1013 | 1.8833<br>0.4833 | 0.3935<br>0.1254 | 0.0389<br>0.1803 |","| Data | r | s | t | nnz(A) | nnz(B) | nnz(C) |\n| --- | --- | --- | --- | --- | --- | --- |\n| square | 1.5E5 | 1.5E5 | 1.5E5 | 6E5 | 6E5 | 2.4E6 |\n| tall | 3E5 | 1.5E5 | 3E6 | 6E5 | 6E5 | 2.4E6 |\n| fat | 1.5E5 | 3E5 | 1.5E5 | 6E5 | 6E5 | 1.2E6 |\n| amazon-08/web-google | 735320 | 735323 | 916428 | 5158379 | 4101329 | 28679400 |\n| cont1/cont11 | 1918396 | 1468599 | 1961392 | 2592597 | 5382995 | 10254724 |\n| cit-patents/patents | 3774768 | 3774768 | 3774768 | 16518948 | 14970767 | 64796579 |\n| hugetrace-00/-01 | 4588484 | 4588484 | 12057440 | 13758266 | 13763443 | 38255405 |",0]
["|  | ax1 | bx2 | ax+bx12 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| latencyperiod | a | R | b | R | a | b | R |\n| papers |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 |","| patents |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LP=2yrs<br>LP=5yrs | 2.4686<br>0.7454 | 0.006<br>0.1431 | -<br>0.27 | -<br>0.1013 | 1.8833<br>0.4833 | 0.3935<br>0.1254 | 0.0389<br>0.1803 |\n| legal |  |  |  |  |  |  |  |\n| LP=2yrs | 0.9337 | 0.5437 | 0.2486 | 0.2317 | 0.8782 | 0.0301 | 0.5464 |",1]
["|  | ax1 | bx2 | ax+bx12 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| latencyperiod | a | R | b | R | a | b | R |\n| papers |  |  |  |  |  |  |  |\n| LP=2yrs<br>LP=5yrs | 0.804<br>0.2783 | 0.5453<br>0.5377 | 0.1677<br>0.0954 | 0.3666<br>0.4956 | 0.6739<br>0.1751 | 0.0366<br>0.0432 | 0.5555<br>0.5778 |","| amazon-08/web-google | 735320 | 735323 | 916428 | 5158379 | 4101329 | 28679400 |\n| --- | --- | --- | --- | --- | --- | --- |\n| cont1/cont11 | 1918396 | 1468599 | 1961392 | 2592597 | 5382995 | 10254724 |\n| cit-patents/patents | 3774768 | 3774768 | 3774768 | 16518948 | 14970767 | 64796579 |\n| hugetrace-00/-01 | 4588484 | 4588484 | 12057440 | 13758266 | 13763443 | 38255405 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6<br>4.99610.8<br>0.7534.9<br>2.3996.8<br>8.2639.0 |","| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 4.4335.222<br>52.61362.621<br>3.5434.532<br>16.57519.503<br>72.73390.591 | 1.5652.84.171<br>12.3954.218.303<br>1.4272.52.881<br>5.1163.210.862<br>21.7453.341.236 | 1.1273.9<br>4.02113.1<br>0.9763.6<br>2.6866.2<br>7.4999.7 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7725.712<br>56.33067.388<br>3.8024.511<br>17.35020.469<br>76.07691.170 | 2.1392.23.138<br>15.7473.623.379<br>1.3132.92.546<br>4.9173.511.350<br>20.1393.842.345 | 1.1824.0<br>5.9649.4<br>1.1413.3<br>2.7996.2<br>8.6468.8 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.2787.003<br>52.77179.305<br>3.5655.363<br>16.72621.325<br>71.388102.194 | 3.4241.24.547<br>25.6582.142.324<br>1.9031.92.879<br>5.5793.08.850<br>30.7322.340.431 | 1.6422.6<br>7.2887.2<br>1.2732.8<br>2.5356.6<br>6.93610.3 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6<br>4.99610.8<br>0.7534.9<br>2.3996.8<br>8.2639.0 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431 | 4.4395.230<br>52.63462.659<br>3.5504.536<br>16.58419.630 | 1.5892.85.378<br>12.9124.150.805<br>1.5342.35.220<br>5.1633.218.954 | 1.3703.2<br>5.3219.9<br>1.0723.3<br>3.2125.2 |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7865.653<br>57.96968.505<br>3.8604.628<br>17.13120.759<br>77.24491.977 | 2.0022.45.879<br>17.4703.353.243<br>1.5452.54.920<br>5.1283.320.554<br>21.1683.670.394 | 1.3933.4<br>8.2267.0<br>1.0753.6<br>3.1045.5<br>10.8687.1 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.22310.144<br>51.52197.713<br>3.7136.778<br>16.56527.185<br>71.417174.611 | 7.3480.612.085<br>54.9250.984.106<br>3.1171.26.922<br>9.2731.821.357<br>78.1260.9123.443 | 2.7551.5<br>15.1963.4<br>1.9151.9<br>5.7092.9<br>29.0192.5 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6<br>4.99610.8<br>0.7534.9<br>2.3996.8<br>8.2639.0 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 4.4335.222<br>52.61362.621<br>3.5434.532<br>16.57519.503<br>72.73390.591 | 1.5652.84.171<br>12.3954.218.303<br>1.4272.52.881<br>5.1163.210.862<br>21.7453.341.236 | 1.1273.9<br>4.02113.1<br>0.9763.6<br>2.6866.2<br>7.4999.7 |","| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7725.712<br>56.33067.388<br>3.8024.511<br>17.35020.469<br>76.07691.170 | 2.1392.23.138<br>15.7473.623.379<br>1.3132.92.546<br>4.9173.511.350<br>20.1393.842.345 | 1.1824.0<br>5.9649.4<br>1.1413.3<br>2.7996.2<br>8.6468.8 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.2787.003<br>52.77179.305<br>3.5655.363<br>16.72621.325<br>71.388102.194 | 3.4241.24.547<br>25.6582.142.324<br>1.9031.92.879<br>5.5793.08.850<br>30.7322.340.431 | 1.6422.6<br>7.2887.2<br>1.2732.8<br>2.5356.6<br>6.93610.3 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5265.440<br>53.82264.124<br>3.6984.418<br>16.38120.112<br>74.52086.550 | 2.0252.23.031<br>13.8023.920.924<br>1.3552.73.055<br>4.9723.39.137<br>15.4444.833.778 | 1.2523.6<br>4.99610.8<br>0.7534.9<br>2.3996.8<br>8.2639.0 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 4.4335.222<br>52.61362.621<br>3.5434.532<br>16.57519.503<br>72.73390.591 | 1.5652.84.171<br>12.3954.218.303<br>1.4272.52.881<br>5.1163.210.862<br>21.7453.341.236 | 1.1273.9<br>4.02113.1<br>0.9763.6<br>2.6866.2<br>7.4999.7 |","| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7865.653<br>57.96968.505<br>3.8604.628<br>17.13120.759<br>77.24491.977 | 2.0022.45.879<br>17.4703.353.243<br>1.5452.54.920<br>5.1283.320.554<br>21.1683.670.394 | 1.3933.4<br>8.2267.0<br>1.0753.6<br>3.1045.5<br>10.8687.1 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.22310.144<br>51.52197.713<br>3.7136.778<br>16.56527.185<br>71.417174.611 | 7.3480.612.085<br>54.9250.984.106<br>3.1171.26.922<br>9.2731.821.357<br>78.1260.9123.443 | 2.7551.5<br>15.1963.4<br>1.9151.9<br>5.7092.9<br>29.0192.5 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |","| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |\n| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |","| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |\n| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |\n| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |\n| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |\n| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |\n| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |\n| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |\n| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |\n| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |\n| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |\n| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |","| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |\n| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| inv | ni | inv | inv | ni | ni | ni | ni | ni | inv | true | ni |\n| msk | ni | msk | ni | msk | ni | ni | ni | ni | ni | true | ni |\n| na | ni | na | ni | ni | na | ni | ni | ni | ni | true | ni |","| nask | unk | nask | ni | ni | ni | nask | unk | ni | ni | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nav | asku | nav | ni | ni | ni | unk | nav | ni | ni | true | unk |\n| ni | ni | ni | ni | ni | ni | ni | ni | ni | ni | true | ni |\n| oth | ni | oth | inv | ni | ni | ni | ni | ni | oth | true | ni |\n| true | true | true | true | true | true | true | true | true | true | true | true |\n| unk | unk | unk | ni | ni | ni | unk | unk | ni | ni | true | unk |",1]
["| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |\n| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| inv | ni | inv | inv | ni | ni | ni | ni | ni | inv | true | ni |\n| msk | ni | msk | ni | msk | ni | ni | ni | ni | ni | true | ni |\n| na | ni | na | ni | ni | na | ni | ni | ni | ni | true | ni |","| AND | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | false | ni | ni | ni | unk | asku | ni | ni | asku | unk |\n| false | false | false | false | false | false | false | false | false | false | false | false |\n| inv | ni | false | inv | ni | ni | ni | ni | ni | inv | inv | ni |\n| msk | ni | false | ni | msk | ni | ni | ni | ni | ni | msk | ni |\n| na | ni | false | ni | ni | na | ni | ni | ni | ni | na | ni |\n| nask | unk | false | ni | ni | ni | nask | unk | ni | ni | nask | unk |\n| nav | asku | false | ni | ni | ni | unk | nav | ni | ni | nav | unk |\n| ni | ni | false | ni | ni | ni | ni | ni | ni | ni | ni | ni |\n| oth | ni | false | inv | ni | ni | ni | ni | ni | oth | oth | ni |\n| true | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| unk | unk | false | ni | ni | ni | unk | unk | ni | ni | unk | unk |",0]
["| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |\n| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| inv | ni | inv | inv | ni | ni | ni | ni | ni | inv | true | ni |\n| msk | ni | msk | ni | msk | ni | ni | ni | ni | ni | true | ni |\n| na | ni | na | ni | ni | na | ni | ni | ni | ni | true | ni |\n| nask | unk | nask | ni | ni | ni | nask | unk | ni | ni | true | unk |\n| nav | asku | nav | ni | ni | ni | unk | nav | ni | ni | true | unk |\n| ni | ni | ni | ni | ni | ni | ni | ni | ni | ni | true | ni |\n| oth | ni | oth | inv | ni | ni | ni | ni | ni | oth | true | ni |","| true | true | true | true | true | true | true | true | true | true | true | true |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| unk | unk | unk | ni | ni | ni | unk | unk | ni | ni | true | unk |",1]
["| OR | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| asku | asku | asku | ni | ni | ni | unk | asku | ni | ni | true | unk |\n| false | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| inv | ni | inv | inv | ni | ni | ni | ni | ni | inv | true | ni |\n| msk | ni | msk | ni | msk | ni | ni | ni | ni | ni | true | ni |\n| na | ni | na | ni | ni | na | ni | ni | ni | ni | true | ni |\n| nask | unk | nask | ni | ni | ni | nask | unk | ni | ni | true | unk |\n| nav | asku | nav | ni | ni | ni | unk | nav | ni | ni | true | unk |\n| ni | ni | ni | ni | ni | ni | ni | ni | ni | ni | true | ni |\n| oth | ni | oth | inv | ni | ni | ni | ni | ni | oth | true | ni |","| nask | unk | false | ni | ni | ni | nask | unk | ni | ni | nask | unk |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nav | asku | false | ni | ni | ni | unk | nav | ni | ni | nav | unk |\n| ni | ni | false | ni | ni | ni | ni | ni | ni | ni | ni | ni |\n| oth | ni | false | inv | ni | ni | ni | ni | ni | oth | oth | ni |\n| true | asku | false | inv | msk | na | nask | nav | ni | oth | true | unk |\n| unk | unk | false | ni | ni | ni | unk | unk | ni | ni | unk | unk |",0]
["| Intensity | Annotations | F-Measure |\n| --- | --- | --- |\n| K=99.5 | 364 | 96.01 |\n| K=99.0 | 326 | 94.57 |\n| K=98.5 | 304 | 95.59 |\n| K=98.0 | 262 | 93.75 |","| K=97.5 | 242 | 93.35 |\n| --- | --- | --- |\n| K=97.0 | 224 | 90.91 |",1]
["| Intensity | Annotations | F-Measure |\n| --- | --- | --- |\n| K=99.5 | 364 | 96.01 |\n| K=99.0 | 326 | 94.57 |\n| K=98.5 | 304 | 95.59 |\n| K=98.0 | 262 | 93.75 |","| F-measure |\n| --- |\n| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |\n| 0.369<br>0.418 |\n| 0.343<br>0.354<br>0.386 |\n| 0.443 |",0]
["| Intensity | Annotations | F-Measure |\n| --- | --- | --- |\n| K=99.5 | 364 | 96.01 |\n| K=99.0 | 326 | 94.57 |\n| K=98.5 | 304 | 95.59 |","| K=98.0 | 262 | 93.75 |\n| --- | --- | --- |\n| K=97.5 | 242 | 93.35 |\n| K=97.0 | 224 | 90.91 |",1]
["| Intensity | Annotations | F-Measure |\n| --- | --- | --- |\n| K=99.5 | 364 | 96.01 |\n| K=99.0 | 326 | 94.57 |\n| K=98.5 | 304 | 95.59 |","| 0.369<br>0.418 |\n| --- |\n| 0.343<br>0.354<br>0.386 |\n| 0.443 |",0]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,247 | 1,379 |\n| Organization | 1,213 | 274 |","| Person | 7,480 | 1,294 |\n| --- | --- | --- |\n| Miscellaneousnames | 282 | 49 |\n| All | 15,222 | 2,996 |",1]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,247 | 1,379 |\n| Organization | 1,213 | 274 |","| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,245 | 1,379 |\n| Organization | 1,213 | 274 |\n| Person | 7,480 | 1,294 |\n| Miscellaneousnames | 282 | 49 |\n| All | 15,222 | 2,996 |",0]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,247 | 1,379 |\n| Organization | 1,213 | 274 |","| Person | 7,480 | 1,294 |\n| --- | --- | --- |\n| Miscellaneousnames | 282 | 49 |\n| All | 15,222 | 2,996 |",1]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,247 | 1,379 |\n| Organization | 1,213 | 274 |","| Person | 7,480 | 1,294 |\n| --- | --- | --- |\n| Miscellaneousnames | 282 | 49 |\n| All | 15,222 | 2,996 |",0]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |  |\n| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |\n| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |\n| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |","| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 |",1]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |  |\n| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |\n| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |\n| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |","| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |  |\n| 5 | 0.077690 | 0.299270 | 0.041627 | 0.044040 | 4.285200 | 4.982500 |\n| 10 | 0.081106 | 0.303860 | 0.044879 | 0.047900 | 4.001400 | 4.710200 |\n| 15 | 0.080859 | 0.304740 | 0.044368 | 0.048056 | 4.319300 | 5.013800 |\n| 20 | 0.086114 | 0.304760 | 0.045060 | 0.048703 | 3.853000 | 4.521800 |\n| 25 | 0.090683 | 0.306830 | 0.044147 | 0.046658 | 4.439000 | 5.129100 |\n| 30 | 0.095251 | 0.306230 | 0.045137 | 0.048883 | 4.748100 | 5.269300 |",0]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |  |\n| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |\n| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |\n| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |","| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 |",1]
["| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR |  |\n| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |\n| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |\n| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |\n| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |","| 20 | 0.086114 | 0.304760 | 0.045060 | 0.048703 | 3.853000 | 4.521800 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 25 | 0.090683 | 0.306830 | 0.044147 | 0.046658 | 4.439000 | 5.129100 |\n| 30 | 0.095251 | 0.306230 | 0.045137 | 0.048883 | 4.748100 | 5.269300 |",0]
["| Feature | ExtractionTime | DefaultDimension |\n| --- | --- | --- |\n| gBiCov | 13.6152s | 5940 |\n| LOMO | 0.2610s | 26960 |\n| ELF16 | 0.5720s | 8064 |","| CNN-FC7 | 0.1773s | 4096 |\n| --- | --- | --- |\n| Ours(withELF16) | 0.1769s+0.5720s | 4096 |",1]
["| Feature | ExtractionTime | DefaultDimension |\n| --- | --- | --- |\n| gBiCov | 13.6152s | 5940 |\n| LOMO | 0.2610s | 26960 |\n| ELF16 | 0.5720s | 8064 |","| FeatureType | Top100 | Top500 |\n| --- | --- | --- |\n| Extension | 27 | 79 |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Text | 68 | 416 |",0]
["| Feature | ExtractionTime | DefaultDimension |\n| --- | --- | --- |\n| gBiCov | 13.6152s | 5940 |\n| LOMO | 0.2610s | 26960 |\n| ELF16 | 0.5720s | 8064 |","| CNN-FC7 | 0.1773s | 4096 |\n| --- | --- | --- |\n| Ours(withELF16) | 0.1769s+0.5720s | 4096 |",1]
["| Feature | ExtractionTime | DefaultDimension |\n| --- | --- | --- |\n| gBiCov | 13.6152s | 5940 |\n| LOMO | 0.2610s | 26960 |\n| ELF16 | 0.5720s | 8064 |","| Filesizerelated | 2 | 2 |\n| --- | --- | --- |\n| Timerelated | 3 | 3 |\n| Text | 68 | 416 |",0]
["| Parameter | Parametersetting |\n| --- | --- |\n| p1 | p=4×(I−0.5)1 |","| p2 | p=0.22 |\n| --- | --- |\n| p3 | p=exp(−I)3 |\n| F | F=(I+0.1)×rand(−1,1) |",1]
["| Parameter | Parametersetting |\n| --- | --- |\n| p1 | p=4×(I−0.5)1 |","| Parameter | Value |\n| --- | --- |\n| A=Apn | 4000 |\n| xp | 0.3 |\n| xn | 0.5 |\n| αp | 1 |\n| αn | 5 |\n| a=a12 | 0.17 |\n| b | 0.05 |\n| Vp | 0.16[V] |\n| Vn | -0.15[V] |",0]
["| Parameter | Parametersetting |\n| --- | --- |\n| p1 | p=4×(I−0.5)1 |","| p2 | p=0.22 |\n| --- | --- |\n| p3 | p=exp(−I)3 |\n| F | F=(I+0.1)×rand(−1,1) |",1]
["| Parameter | Parametersetting |\n| --- | --- |\n| p1 | p=4×(I−0.5)1 |","| a=a12 | 0.17 |\n| --- | --- |\n| b | 0.05 |\n| Vp | 0.16[V] |\n| Vn | -0.15[V] |",0]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 2860.85 |\n| 44 | 25 | 1253.17 |\n| 62 | 12 | 2158.85 |\n| 59 | 37 | 2209.80 |\n| 49 | 10 | 1387.88 |\n| 54 | 20 | 1771.79 |\n| 59 | 18 | 2056.18 |\n| 78 | 25 | 3512.08 |","| 73 | 25 | 3117.28 |\n| --- | --- | --- |\n| 49 | 10 | 1387.88 |\n| 75 | 21 | 3216.12 |\n| 61 | 19 | 2195.17 |\n| 57 | 28 | 2019.72 |\n| 61 | 34 | 2326.71 |\n| 56 | 34 | 1994.74 |\n| 56 | 11 | 1781.88 |\n| 66 | 12 | 2566.97 |",1]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 2860.85 |\n| 44 | 25 | 1253.17 |\n| 62 | 12 | 2158.85 |\n| 59 | 37 | 2209.80 |\n| 49 | 10 | 1387.88 |\n| 54 | 20 | 1771.79 |\n| 59 | 18 | 2056.18 |\n| 78 | 25 | 3512.08 |","| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 42.0713 |\n| 44 | 25 | 28.4811 |\n| 62 | 12 | 34.8202 |\n| 59 | 37 | 37.4543 |\n| 49 | 10 | 28.3241 |\n| 54 | 20 | 32.8109 |\n| 59 | 18 | 34.8505 |\n| 78 | 25 | 45.0267 |\n| 73 | 25 | 42.7024 |\n| 49 | 10 | 28.3241 |\n| 75 | 21 | 42.8816 |\n| 61 | 19 | 35.9865 |\n| 57 | 28 | 35.4336 |\n| 61 | 34 | 38.1427 |\n| 56 | 34 | 35.6204 |\n| 56 | 11 | 31.8192 |\n| 66 | 12 | 38.8935 |",0]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 2860.85 |\n| 44 | 25 | 1253.17 |\n| 62 | 12 | 2158.85 |\n| 59 | 37 | 2209.80 |","| 49 | 10 | 1387.88 |\n| --- | --- | --- |\n| 54 | 20 | 1771.79 |\n| 59 | 18 | 2056.18 |\n| 78 | 25 | 3512.08 |\n| 73 | 25 | 3117.28 |\n| 49 | 10 | 1387.88 |\n| 75 | 21 | 3216.12 |\n| 61 | 19 | 2195.17 |\n| 57 | 28 | 2019.72 |\n| 61 | 34 | 2326.71 |\n| 56 | 34 | 1994.74 |\n| 56 | 11 | 1781.88 |\n| 66 | 12 | 2566.97 |",1]
["| NewServer | PowerandCooling | Revenue |\n| --- | --- | --- |\n| 68 | 38 | 2860.85 |\n| 44 | 25 | 1253.17 |\n| 62 | 12 | 2158.85 |\n| 59 | 37 | 2209.80 |","| 61 | 19 | 35.9865 |\n| --- | --- | --- |\n| 57 | 28 | 35.4336 |\n| 61 | 34 | 38.1427 |\n| 56 | 34 | 35.6204 |\n| 56 | 11 | 31.8192 |\n| 66 | 12 | 38.8935 |",0]
["| transactionID | timestamp | procedurepointer | parameters |\n| --- | --- | --- | --- |\n| 1 | 100001 | p | A,B |\n| 2 | 100002 | p | C,G |","| 3 | 100003 | p | D,B |\n| --- | --- | --- | --- |\n| 4 | 100004 | p | G,D |",1]
["| transactionID | timestamp | procedurepointer | parameters |\n| --- | --- | --- | --- |\n| 1 | 100001 | p | A,B |\n| 2 | 100002 | p | C,G |","| UniqueActors | ExecutionTime(msec) |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Step-8 | Step-9 |  |  |\n|  | MySQL | Neo4j | MySQL | Neo4j |\n| 150 | 225 | 9616 | 1907 | 2403 |\n| 158 | 372 | 11700 | 2844 | 2925 |\n| 220 | 713 | 14655 | 6292 | 3664 |\n| 229 | 903 | 29520 | 6703 | 7380 |\n| 242 | 1403 | 48891 | 8453 | 12223 |",0]
["| transactionID | timestamp | procedurepointer | parameters |\n| --- | --- | --- | --- |\n| 1 | 100001 | p | A,B |\n| 2 | 100002 | p | C,G |","| 3 | 100003 | p | D,B |\n| --- | --- | --- | --- |\n| 4 | 100004 | p | G,D |",1]
["| transactionID | timestamp | procedurepointer | parameters |\n| --- | --- | --- | --- |\n| 1 | 100001 | p | A,B |\n| 2 | 100002 | p | C,G |","| 229 | 903 | 29520 | 6703 | 7380 |\n| --- | --- | --- | --- | --- |\n| 242 | 1403 | 48891 | 8453 | 12223 |",0]
["| \\|E\\| | n..ofedges |\n| --- | --- |\n| \\|V\\| | n.nodes |\n| ∆ | maxdegree |\n| δ | mindegree |","| m | inputmonitors |\n| --- | --- |\n| M | outputmonitors |",1]
["| \\|E\\| | n..ofedges |\n| --- | --- |\n| \\|V\\| | n.nodes |\n| ∆ | maxdegree |\n| δ | mindegree |","| Variable | Description |\n| --- | --- |\n| V | setofnodesinagraph |\n| E | setofedgesinagraph |\n| B(e) | edgecapacityforedgee |\n| C(v) | nodecapacityfornodev |\n| D | thesetofﬂowdemands |\n| δ(v) | theedgesleavingvertexv |\n| δ(v) | theedgesenteringvertexv |\n| P | thesetofwalksfromsourcestodestinations |\n| p<br>i,π | walk-based;theamountofﬂowifromstotii<br>exactlyusingwalkπandprocessedatv |\n| f(e)i | edge-based;theamountofﬂowithat<br>traverseseonitswayfromstotii |\n| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",0]
["| \\|E\\| | n..ofedges |\n| --- | --- |\n| \\|V\\| | n.nodes |\n| ∆ | maxdegree |","| δ | mindegree |\n| --- | --- |\n| m | inputmonitors |\n| M | outputmonitors |",1]
["| \\|E\\| | n..ofedges |\n| --- | --- |\n| \\|V\\| | n.nodes |\n| ∆ | maxdegree |","| w(e)i | edge-based;theamountofunprocessedﬂowi<br>thattraverseseonitswayfromstotii |\n| --- | --- |\n| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithﬂow |",0]
["| MarketName | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |","| Anzhi | 2957 | 12260 |\n| --- | --- | --- |\n| AppChina | 1845 | 4154 |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |\n| FDroid | 29 | 2 |\n| Angeeks | 6 | 27 |",1]
["| MarketName | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |","| Market | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |\n| Anzhi | 2957 | 12260 |\n| AppChina | 1845 | 4154 |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |\n| FDroid | 29 | 2 |\n| Angeeks | 6 | 27 |",0]
["| MarketName | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |\n| Anzhi | 2957 | 12260 |\n| AppChina | 1845 | 4154 |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |","| FDroid | 29 | 2 |\n| --- | --- | --- |\n| Angeeks | 6 | 27 |",1]
["| MarketName | #ofBenignApps | #ofMalware |\n| --- | --- | --- |\n| GooglePlay | 39156 | 26178 |\n| Anzhi | 2957 | 12260 |\n| AppChina | 1845 | 4154 |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |","| AppChina | 1845 | 4154 |\n| --- | --- | --- |\n| SlideMe | 289 | 132 |\n| HiApk | 65 | 157 |\n| FDroid | 29 | 2 |\n| Angeeks | 6 | 27 |",0]
["| Locations | W | C | TL | TR | BL | BR |\n| --- | --- | --- | --- | --- | --- | --- |\n| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |\n| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |\n| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |","| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |\n| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",1]
["| Locations | W | C | TL | TR | BL | BR |\n| --- | --- | --- | --- | --- | --- | --- |\n| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |\n| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |\n| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |","| Class | mEAS | CorLoc | Class | mEAS | CorLoc |\n| --- | --- | --- | --- | --- | --- |\n| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |\n| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |\n| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |\n| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |\n| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |\n| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |\n| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |\n| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |\n| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",0]
["| Locations | W | C | TL | TR | BL | BR |\n| --- | --- | --- | --- | --- | --- | --- |\n| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |\n| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |\n| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |","| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",1]
["| Locations | W | C | TL | TR | BL | BR |\n| --- | --- | --- | --- | --- | --- | --- |\n| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |\n| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |\n| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |","| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |\n| --- | --- | --- | --- | --- | --- |\n| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |\n| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |\n| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |\n| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |\n| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",0]
["|  | Customer | Agent |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1-score | ARI | F1-score | ARI |","| K-means(Doc2Vec) | 0.787 | 0.150 | 0.783 | 0.136 |\n| --- | --- | --- | --- | --- |\n| SimCluster(Doc2Vec) | 0.88 | 0.19 | 0.887 | 0.192 |\n| K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |\n| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 |",1]
["|  | Customer | Agent |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1-score | ARI | F1-score | ARI |","| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |\n| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |\n| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |\n| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |\n| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |\n| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |\n| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |\n| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |\n| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |\n| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |\n| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |\n| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |\n| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |\n| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |\n| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |\n| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |\n| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |\n| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 |\n| SORT | Station | 0.72 | 0.85 | 0.63 | 0.70 | 1.00 | 0.74 | 4968 |\n| OUR | Station | 0.70 | 0.62 | 0.62 | 0.77 | 0.99 | 0.99 | 579 |",0]
["|  | Customer | Agent |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1-score | ARI | F1-score | ARI |","| K-means(Doc2Vec) | 0.787 | 0.150 | 0.783 | 0.136 |\n| --- | --- | --- | --- | --- |\n| SimCluster(Doc2Vec) | 0.88 | 0.19 | 0.887 | 0.192 |\n| K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |\n| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 |",1]
["|  | Customer | Agent |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1-score | ARI | F1-score | ARI |","| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |\n| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |\n| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |\n| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |\n| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |\n| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |\n| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 |\n| SORT | Station | 0.72 | 0.85 | 0.63 | 0.70 | 1.00 | 0.74 | 4968 |\n| OUR | Station | 0.70 | 0.62 | 0.62 | 0.77 | 0.99 | 0.99 | 579 |",0]
["|  | Train<br>/Test | Method | Accuracy |  |\n| --- | --- | --- | --- | --- |\n| AVLetters | CUAVE |  |  |  |\n| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |\n| CorrRNN | 81.85 | 96.22 |  |  |\n| Audio<br>/Audio | Raw | 57.31 | 88.32 |  |\n| CorrRNN | 85.33 | 96.11 |  |  |\n| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |\n| CorrRNN | 85.33 | 96.77 |  |  |","| Audio<br>/Video | MDAE | - | 30.70 |\n| --- | --- | --- | --- |\n| CorrRNN | 81.85 | 96.33 |  |",1]
["|  | Train<br>/Test | Method | Accuracy |  |\n| --- | --- | --- | --- | --- |\n| AVLetters | CUAVE |  |  |  |\n| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |\n| CorrRNN | 81.85 | 96.22 |  |  |\n| Audio<br>/Audio | Raw | 57.31 | 88.32 |  |\n| CorrRNN | 85.33 | 96.11 |  |  |\n| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |\n| CorrRNN | 85.33 | 96.77 |  |  |","| Labels: | LLP | MIL |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Trainingsetsize: | 100subjects | 700subjects | 700subjects |  |  |  |  |  |  |  |\n| Region: | RU | LU | RU | LU | RU | LU |  |  |  |  |\n| Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AUC |\n| Densitometry<br>and<br>GAPNet+RMS<br>GAPNet+LPI6<br>ProportionNet | -<br>0.72<br>-<br>0.77<br>0.87 | 0.23<br>-<br>-<br>0.62<br>0.73 | -<br>0.63<br>-<br>0.74<br>0.81 | 0.14<br>-<br>-<br>0.52<br>0.66 | -<br>-<br>0.79<br>0.82<br>0.87 | 0.59<br>-<br>0.93<br>0.96<br>0.97 | -<br>-<br>0.76<br>0.76<br>0.85 | 0.54<br>-<br>0.90<br>0.94<br>0.95 | 0.59<br>0.89<br>-<br>0.96<br>0.96 | 0.54<br>0.87<br>-<br>0.94<br>0.94 |",0]
["|  | Train<br>/Test | Method | Accuracy |  |\n| --- | --- | --- | --- | --- |\n| AVLetters | CUAVE |  |  |  |\n| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |\n| CorrRNN | 81.85 | 96.22 |  |  |\n| Audio<br>/Audio | Raw | 57.31 | 88.32 |  |","| CorrRNN | 85.33 | 96.11 |  |  |\n| --- | --- | --- | --- | --- |\n| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |\n| CorrRNN | 85.33 | 96.77 |  |  |\n| Audio<br>/Video | MDAE | - | 30.70 |  |\n| CorrRNN | 81.85 | 96.33 |  |  |",1]
["|  | Train<br>/Test | Method | Accuracy |  |\n| --- | --- | --- | --- | --- |\n| AVLetters | CUAVE |  |  |  |\n| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |\n| CorrRNN | 81.85 | 96.22 |  |  |\n| Audio<br>/Audio | Raw | 57.31 | 88.32 |  |","| Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AUC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Densitometry<br>and<br>GAPNet+RMS<br>GAPNet+LPI6<br>ProportionNet | -<br>0.72<br>-<br>0.77<br>0.87 | 0.23<br>-<br>-<br>0.62<br>0.73 | -<br>0.63<br>-<br>0.74<br>0.81 | 0.14<br>-<br>-<br>0.52<br>0.66 | -<br>-<br>0.79<br>0.82<br>0.87 | 0.59<br>-<br>0.93<br>0.96<br>0.97 | -<br>-<br>0.76<br>0.76<br>0.85 | 0.54<br>-<br>0.90<br>0.94<br>0.95 | 0.59<br>0.89<br>-<br>0.96<br>0.96 | 0.54<br>0.87<br>-<br>0.94<br>0.94 |",0]
["| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |\n| --- | --- | --- | --- | --- | --- | --- |\n| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |\n| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |\n| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |","| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |\n| --- | --- | --- | --- | --- | --- | --- |\n| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |\n| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |\n| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",1]
["| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |\n| --- | --- | --- | --- | --- | --- | --- |\n| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |\n| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |\n| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |","| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |\n| --- | --- | --- | --- | --- | --- | --- |\n| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |","| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |\n| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |\n| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |\n| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |\n| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |\n| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 |",1]
["| network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |\n| --- | --- | --- | --- | --- | --- | --- |\n| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |","| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| --- | --- | --- | --- | --- | --- |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| Loss | Epoch500 | Epoch1000 | Epoch1500 |\n| --- | --- | --- | --- |\n| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |\n| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 |","| SPRG+SD | 3.42/2.63 | 3.43/2.53 | 3.05/2.17 |\n| --- | --- | --- | --- |\n| CENT+SD | 3.25/2.49 | 3.15/2.32 | 3.15/2.36 |",1]
["| Loss | Epoch500 | Epoch1000 | Epoch1500 |\n| --- | --- | --- | --- |\n| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |\n| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 |","| FineTuning | GradualTuning |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Reg | Task-B | Task-A | Epochs | Task-B | Task-A | Epochs |\n| No | 2.01±0.03 | 1.5→4.3±0.9 | 117±70 | 1.99±0.05 | 1.5→2.6±0.1 | 147±39 |\n| L1 | 1.92±0.05 | 1.6→3.4±1.3 | 188±54 | 1.88±0.02 | 1.6→2.0±0.1 | 245±59 |\n| Drop | 1.66±0.05 | 1.3→12.1±0.6 | 102±17 | 1.52±0.05 | 1.3→3.9±0.3 | 138±35 |",0]
["| Loss | Epoch500 | Epoch1000 | Epoch1500 |\n| --- | --- | --- | --- |\n| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |\n| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 |","| SPRG+SD | 3.42/2.63 | 3.43/2.53 | 3.05/2.17 |\n| --- | --- | --- | --- |\n| CENT+SD | 3.25/2.49 | 3.15/2.32 | 3.15/2.36 |",1]
["| Loss | Epoch500 | Epoch1000 | Epoch1500 |\n| --- | --- | --- | --- |\n| SPRG | 3.17/2.40 | 3.27/2.54 | 3.06/2.39 |\n| CENT | 3.44/2.59 | 3.34/2.60 | 3.41/2.63 |","| L1 | 1.92±0.05 | 1.6→3.4±1.3 | 188±54 | 1.88±0.02 | 1.6→2.0±0.1 | 245±59 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Drop | 1.66±0.05 | 1.3→12.1±0.6 | 102±17 | 1.52±0.05 | 1.3→3.9±0.3 | 138±35 |",0]
["| Feature | Starbucks | Dun.Don. | McDon. |\n| --- | --- | --- | --- |\n| GeographicFeatures |  |  |  |\n| Density | 0.60 | 0.79 | 0.73 |\n| Entropy | 0.65 | 0.60 | 0.69 |","| Competitiveness | 0.70 | 0.68 | 0.78 |\n| --- | --- | --- | --- |\n| JensenQuality | 0.54 | 0.81 | 0.72 |\n| MobilityFeatures |  |  |  |\n| AreaPopularity | 0.54 | 0.77 | 0.78 |\n| TransitionDensity | 0.62 | 0.79 | 0.78 |\n| IncomingFlow | 0.60 | 0.75 | 0.79 |\n| TransitionQuality | 0.66 | 0.81 | 0.73 |\n| RandomBaseline |  |  |  |\n|  | 0.48 | 0.51 | 0.53 |",1]
["| Feature | Starbucks | Dun.Don. | McDon. |\n| --- | --- | --- | --- |\n| GeographicFeatures |  |  |  |\n| Density | 0.60 | 0.79 | 0.73 |\n| Entropy | 0.65 | 0.60 | 0.69 |","| Architectures | Accuracy |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |\n| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |\n| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |\n| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |\n| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |\n| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",0]
["| Feature | Starbucks | Dun.Don. | McDon. |\n| --- | --- | --- | --- |\n| GeographicFeatures |  |  |  |\n| Density | 0.60 | 0.79 | 0.73 |\n| Entropy | 0.65 | 0.60 | 0.69 |\n| Competitiveness | 0.70 | 0.68 | 0.78 |\n| JensenQuality | 0.54 | 0.81 | 0.72 |","| MobilityFeatures |  |  |  |\n| --- | --- | --- | --- |\n| AreaPopularity | 0.54 | 0.77 | 0.78 |\n| TransitionDensity | 0.62 | 0.79 | 0.78 |\n| IncomingFlow | 0.60 | 0.75 | 0.79 |\n| TransitionQuality | 0.66 | 0.81 | 0.73 |\n| RandomBaseline |  |  |  |\n|  | 0.48 | 0.51 | 0.53 |",1]
["| Feature | Starbucks | Dun.Don. | McDon. |\n| --- | --- | --- | --- |\n| GeographicFeatures |  |  |  |\n| Density | 0.60 | 0.79 | 0.73 |\n| Entropy | 0.65 | 0.60 | 0.69 |\n| Competitiveness | 0.70 | 0.68 | 0.78 |\n| JensenQuality | 0.54 | 0.81 | 0.72 |","| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",0]
["| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |\n| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |","| 1 | 0.1849 | 0.4275 | 0.5211 | 0.3706 | 0.1824 | 0.2241 | 0.3917 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.1668 | 0.3201 | 0.3707 | 0.2778 | 0.1682 | 0.1581 | 0.3448 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.2010 | 0.2048 | 0.2088 | 0.2066 | 0.2018 | 0.2293 | 0.2087 |\n| 2 | 0.2138 | 0.2247 | 0.2179 | 0.2250 | 0.2123 | 0.2113 | 0.2016 |\n| Verticalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.1677 | 0.2088 | 0.2298 | 0.2063 | 0.1708 | 0.2141 | 0.2335 |\n| 2 | 0.1578 | 0.1831 | 0.1878 | 0.1760 | 0.1596 | 0.1755 | 0.1688 |",1]
["| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |\n| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |","| Globalcomplexity;paintingFig.4,colour:green |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| Original | 0.4515 | 0.4284 | 0.4368 | 0.4240 | 0.4438 | 0.4339 | 0.3875 |\n| Copy | 0.4177 | 0.4453 | 0.3936 | 0.4027 | 0.4244 | 0.3954 | 0.3890 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.5123 | 0.4601 | 0.4594 | 0.4445 | 0.5151 | 0.4306 | 0.4314 |\n| Copy | 0.4753 | 0.46163 | 0.41101 | 0.4073 | 0.4868 | 0.4091 | 0.4242 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4179 | 0.3945 | 0.3988 | 0.3921 | 0.3976 | 0.4147 | 0.3368 |\n| Copy | 0.3759 | 0.4171 | 0.3175 | 0.3554 | 0.3400 | 0.3342 | 0.3279 |\n| Verticalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4242 | 0.4303 | 0.4523 | 0.4355 | 0.4168 | 0.4566 | 0.3942 |\n| Copy | 0.4019 | 0.4551 | 0.4521 | 0.4452 | 0.4464 | 0.4428 | 0.4148 |",0]
["| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |\n| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.1849 | 0.4275 | 0.5211 | 0.3706 | 0.1824 | 0.2241 | 0.3917 |\n| 2 | 0.1668 | 0.3201 | 0.3707 | 0.2778 | 0.1682 | 0.1581 | 0.3448 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |","| 1 | 0.2010 | 0.2048 | 0.2088 | 0.2066 | 0.2018 | 0.2293 | 0.2087 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.2138 | 0.2247 | 0.2179 | 0.2250 | 0.2123 | 0.2113 | 0.2016 |\n| Verticalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.1677 | 0.2088 | 0.2298 | 0.2063 | 0.1708 | 0.2141 | 0.2335 |\n| 2 | 0.1578 | 0.1831 | 0.1878 | 0.1760 | 0.1596 | 0.1755 | 0.1688 |",1]
["| Globalcomplexity;”TheFlavourofTears1and2”;colour:blue |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wavelet | haar | db2 | sym3 | coif1 | bior1.3 | rbior1.3 | dmey |\n| 1 | 0.1845 | 0.2804 | 0.3186 | 0.2612 | 0.1950 | 0.2225 | 0.2780 |\n| 2 | 0.1795 | 0.2427 | 0.2905 | 0.2807 | 0.1918 | 0.1979 | 0.2711 |\n| Diagonalcomplexity |  |  |  |  |  |  |  |\n| 1 | 0.1849 | 0.4275 | 0.5211 | 0.3706 | 0.1824 | 0.2241 | 0.3917 |\n| 2 | 0.1668 | 0.3201 | 0.3707 | 0.2778 | 0.1682 | 0.1581 | 0.3448 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |","| Original | 0.5123 | 0.4601 | 0.4594 | 0.4445 | 0.5151 | 0.4306 | 0.4314 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Copy | 0.4753 | 0.46163 | 0.41101 | 0.4073 | 0.4868 | 0.4091 | 0.4242 |\n| Horizontalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4179 | 0.3945 | 0.3988 | 0.3921 | 0.3976 | 0.4147 | 0.3368 |\n| Copy | 0.3759 | 0.4171 | 0.3175 | 0.3554 | 0.3400 | 0.3342 | 0.3279 |\n| Verticalcomplexity |  |  |  |  |  |  |  |\n| Original | 0.4242 | 0.4303 | 0.4523 | 0.4355 | 0.4168 | 0.4566 | 0.3942 |\n| Copy | 0.4019 | 0.4551 | 0.4521 | 0.4452 | 0.4464 | 0.4428 | 0.4148 |",0]
["| Number | Vulnerability | Cause | Level |\n| --- | --- | --- | --- |\n|  | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |\n|  |  |  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  |  |  |  |\n|  | Immutablebug | Alteracontractafterdeployment | EVMbytecode |\n|  |  |  |  |\n|  |  |  |  |\n| 0 | Unpredictablestate | Stateofthecontractischangedbeforeinvoking | Blockchainmechanism |\n|  |  |  |  |\n|  |  |  |  |",1]
["| Number | Vulnerability | Cause | Level |\n| --- | --- | --- | --- |\n|  | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |\n|  |  |  |  |","| Level | Symbol | Meaning | Description |\n| --- | --- | --- | --- |\n| 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue |\n| 2 | inv | invalid | Valuenotpermittedinconstraineddomain |\n| 3 | oth | other | Actualvaluenotpermittedinconstraineddomain |\n| 4 | ninf | negativeinﬁnity | Negativeinﬁnityonnumbers |\n| 4 | pinf | positiveinﬁnity | Positiveinﬁnityonnumbers |\n| 3 | unc | unencoded | Informationnotencoded(yet) |\n| 3 | der | derived | Actualvaluemustbederived |\n| 2 | unk | unknown | Propervalueisapplicablebutnotknown |\n| 3 | asku | askedbutunknown | Informationsoughtbutnotfound |\n| 4 | nav | temporarilyunavailable | Expectedtobeavailablelater |\n| 3 | qs | suﬃcientquantity | Quantitynotknownbutnon-zero |\n| 3 | nask | notasked | Informationnotsought |\n| 3 | trc | trace | Greaterthanzerobuttoosmallforquantiﬁcation |\n| 2 | msk | masked | Informationavailablebutnotprovided |\n| 2 | na | notapplicable | Novalueapplicableincontext |",0]
["| Number | Vulnerability | Cause | Level |\n| --- | --- | --- | --- |\n|  | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |\n|  |  |  |  |\n|  |  |  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n|  |  |  |  |\n|  | Immutablebug | Alteracontractafterdeployment | EVMbytecode |\n|  |  |  |  |\n|  |  |  |  |\n| 0 | Unpredictablestate | Stateofthecontractischangedbeforeinvoking | Blockchainmechanism |\n|  |  |  |  |\n|  |  |  |  |",1]
["| Number | Vulnerability | Cause | Level |\n| --- | --- | --- | --- |\n|  | Calltotheunknown | Thecalledfunctiondoesnotexist | Contractsourcecode |\n|  |  |  |  |\n|  |  |  |  |","| 4 | pinf | positiveinﬁnity | Positiveinﬁnityonnumbers |\n| --- | --- | --- | --- |\n| 3 | unc | unencoded | Informationnotencoded(yet) |\n| 3 | der | derived | Actualvaluemustbederived |\n| 2 | unk | unknown | Propervalueisapplicablebutnotknown |\n| 3 | asku | askedbutunknown | Informationsoughtbutnotfound |\n| 4 | nav | temporarilyunavailable | Expectedtobeavailablelater |\n| 3 | qs | suﬃcientquantity | Quantitynotknownbutnon-zero |\n| 3 | nask | notasked | Informationnotsought |\n| 3 | trc | trace | Greaterthanzerobuttoosmallforquantiﬁcation |\n| 2 | msk | masked | Informationavailablebutnotprovided |\n| 2 | na | notapplicable | Novalueapplicableincontext |",0]
["| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |\n| --- | --- | --- | --- | --- |\n| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |","| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 |\n| --- | --- | --- | --- | --- |\n| COIL100 | 0.9070 | 0.8834 | 0.8793 | 0.8637 |\n| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |\n| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |\n| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 |",1]
["| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |\n| --- | --- | --- | --- | --- |\n| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |","| Dataset | #Datapoints | #Classes | #Features |\n| --- | --- | --- | --- |\n| YaleB | 2,414 | 38 | 1,024 |\n| USPS | 9,298 | 10 | 256 |\n| COIL100 | 7,200 | 100 | 1,024 |\n| Glass | 214 | 6 | 10 |\n| Climate | 540 | 2 | 18 |\n| Ionosphere | 351 | 2 | 34 |",0]
["| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |\n| --- | --- | --- | --- | --- |\n| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |\n| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 |","| COIL100 | 0.9070 | 0.8834 | 0.8793 | 0.8637 |\n| --- | --- | --- | --- | --- |\n| Glass | 0.9666 | 0.9492 | 0.9403 | 0.9216 |\n| Climate | 0.6097 | 0.5902 | 0.5862 | 0.5821 |\n| Ionosphere | 0.6946 | 0.6692 | 0.6589 | 0.6362 |",1]
["| Dataset | Proposedmethod | LapSc+LRGA | LRGA | LapSc |\n| --- | --- | --- | --- | --- |\n| YaleB | 0.7333 | 0.7130 | 0.7091 | 0.7032 |\n| USPS | 0.8524 | 0.8401 | 0.8365 | 0.8293 |","| Glass | 214 | 6 | 10 |\n| --- | --- | --- | --- |\n| Climate | 540 | 2 | 18 |\n| Ionosphere | 351 | 2 | 34 |",0]
["| No. | Class | Total | Training | Test | No. | Class | Total | Training |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |\n| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |\n| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |\n| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 |","| 5 | Slashpine | 161 | 16 | 145 | 12 | Mudﬂats | 503 | 50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |\n| 7 | Hardwoodswamp | 105 | 11 | 94 |  |  |  |  |",1]
["| No. | Class | Total | Training | Test | No. | Class | Total | Training |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |\n| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |\n| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |\n| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 |","| No. | Class | Total | Training | Test | No. | Class | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |\n| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |\n| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |\n| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |\n| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |\n| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |\n| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",0]
["| No. | Class | Total | Training | Test | No. | Class | Total | Training |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |\n| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |\n| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |\n| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 |","| 5 | Slashpine | 161 | 16 | 145 | 12 | Mudﬂats | 503 | 50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |\n| 7 | Hardwoodswamp | 105 | 11 | 94 |  |  |  |  |",1]
["| No. | Class | Total | Training | Test | No. | Class | Total | Training |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |\n| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |\n| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |\n| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 |","| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |\n| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 |",0]
["| Dataset | #ofcategories | #ofimages |\n| --- | --- | --- |\n| dog<br>D<br>ImageNet | 120 | 150,473 |\n| E<br>VT | 120 | 1,287,831 |\n| bird<br>D<br>ImageNet | 59 | 76,541 |\n| E<br>VT | 59 | 710,059 |","| wheeled<br>D<br>ImageNet | 44 | 57,059 |\n| --- | --- | --- |\n| E<br>VT | 44 | 607,680 |\n| structure<br>D<br>ImageNet | 58 | 74,400 |\n| E | 58 | 745,940 |",1]
["| Dataset | #ofcategories | #ofimages |\n| --- | --- | --- |\n| dog<br>D<br>ImageNet | 120 | 150,473 |\n| E<br>VT | 120 | 1,287,831 |\n| bird<br>D<br>ImageNet | 59 | 76,541 |\n| E<br>VT | 59 | 710,059 |","| Domain | TrainingData |  |  |\n| --- | --- | --- | --- |\n| DImageNet | EVT | E∪DVTImageNet |  |\n| Dog | 65.80 | 67.56 | 70.22 |\n| Bird | 82.00 | 86.24 | 86.41 |\n| Wheeled | 68.95 | 72.20 | 74.59 |\n| Structure | 66.07 | 69.90 | 72.41 |",0]
["| Dataset | #ofcategories | #ofimages |\n| --- | --- | --- |\n| dog<br>D<br>ImageNet | 120 | 150,473 |\n| E<br>VT | 120 | 1,287,831 |\n| bird<br>D<br>ImageNet | 59 | 76,541 |\n| E<br>VT | 59 | 710,059 |","| wheeled<br>D<br>ImageNet | 44 | 57,059 |\n| --- | --- | --- |\n| E<br>VT | 44 | 607,680 |\n| structure<br>D<br>ImageNet | 58 | 74,400 |\n| E | 58 | 745,940 |",1]
["| Dataset | #ofcategories | #ofimages |\n| --- | --- | --- |\n| dog<br>D<br>ImageNet | 120 | 150,473 |\n| E<br>VT | 120 | 1,287,831 |\n| bird<br>D<br>ImageNet | 59 | 76,541 |\n| E<br>VT | 59 | 710,059 |","| Wheeled | 68.95 | 72.20 | 74.59 |\n| --- | --- | --- | --- |\n| Structure | 66.07 | 69.90 | 72.41 |",0]
["|  | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |\n| --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |","| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |\n| --- | --- | --- | --- | --- | --- |\n| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |\n| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |\n| 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |\n| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |\n| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |\n| 6 | Othercommands | Idle | 13 | 2 | 12 |",1]
["|  | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |\n| --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |","| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["|  | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |\n| --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |\n| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |\n| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |\n| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |","| 10<br>11<br>12 | 1leg<br>1leg<br>1leg | GPL=(1,1,1)<br>GPL(cid:54)=(1,1,1)<br>Timedout | 14<br>10<br>10 | 11<br>14<br>2 | 9<br>14<br>1 |\n| --- | --- | --- | --- | --- | --- |\n| 13<br>14 | 1to4legs<br>Nolegorbored | Alwaystimedout<br>Alwaystimedout | 72<br>62 | 38<br>2 | 75<br>3 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | Atleast1feed<br>Atleast1clean<br>Atleast1fridge<br>Atleast1sink | 5<br>14<br>4<br>8 | 9<br>3<br>12<br>2 | 6<br>14<br>4<br>9 |\n| 5 | Atleast2feedorclean | Atleast2feedorclean | 5 | 22 | 5 |\n| 6 | Othercommands | Idle | 13 | 2 | 12 |",1]
["|  | Human | Robot | Pseudorandom | ModelcheckingTA | BDIagents |\n| --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |\n| 1<br>2<br>3 | 4legs<br>4legs<br>4legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>0<br>2 | 24<br>30<br>43 | 24<br>31<br>32 |\n| 4<br>5<br>6 | 3legs<br>3legs<br>3legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 0<br>7<br>10 | 20<br>38<br>38 | 12<br>22<br>27 |\n| 7<br>8<br>9 | 2legs<br>2legs<br>2legsandbored | GPL=(1,1,1)foratleast1leg<br>GPL(cid:54)=(1,1,1)foratleast1leg<br>Timedoutatleastonce | 2<br>6<br>9 | 13<br>28<br>11 | 5<br>10<br>7 |","| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |","| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",1]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |","|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 00 | 01 | 04 | 0f | 0f | 08 | 02 | 0f | 02 | 04 | 08 | 04 | 01 | 01 | 02 | 08 |\n| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |\n| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |\n| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |\n| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |\n| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |\n| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |\n| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |\n| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |\n| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |\n| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |\n| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |\n| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |\n| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |\n| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |\n| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b |",0]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |","| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",1]
["|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |","| 1 | cf | fa | c4 | fb | 12 | 21 | 10 | 29 | 7c | 4e | 79 | 41 | ad | 99 | a1 | 9f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 38 | 58 | 8e | e4 | 93 | f5 | 2c | 40 | 32 | 55 | 8a | e7 | 95 | f4 | 24 | 4f |\n| 3 | a4 | f0 | 1d | 43 | dd | 8f | 6d | 35 | 1f | 4c | a8 | f1 | 6a | 3f | d4 | 8b |\n| 4 | a4 | 6a | f1 | 35 | 43 | 8b | 1f | dd | d4 | 1d | 8f | 4c | 3f | f0 | 6d | a8 |\n| 5 | e2 | 18 | b8 | 48 | d7 | 2b | 84 | 72 | 23 | de | 77 | 80 | 1a | e1 | 47 | b6 |\n| 6 | b1 | 1e | 56 | f3 | f2 | 5b | 1c | bf | c9 | 61 | 20 | 82 | 86 | 28 | 66 | c2 |\n| 7 | a4 | 3f | 4c | dd | 35 | a8 | d4 | 43 | 6d | f1 | 8b | 1d | f0 | 6a | 1f | 8f |\n| 8 | b1 | 28 | 61 | f2 | bf | 20 | 66 | f3 | 1c | 82 | c2 | 56 | 1e | 86 | c9 | 5b |\n| 9 | 38 | 95 | e7 | 40 | e4 | 4f | 32 | 93 | 24 | 8e | f5 | 55 | f4 | 58 | 2c | 8a |\n| a | e2 | 1a | 80 | 72 | 48 | b6 | 23 | d7 | 47 | b8 | 2b | de | e1 | 18 | 84 | 77 |\n| b | 38 | f4 | 55 | 93 | 40 | 8a | 24 | e4 | 2c | e7 | 4f | 8e | 58 | 95 | 32 | f5 |\n| c | cf | 99 | 4e | 12 | 29 | 79 | a1 | fb | 10 | 41 | 9f | c4 | fa | ad | 7c | 21 |\n| d | cf | ad | 41 | 29 | fb | 9f | 7c | 12 | a1 | c4 | 21 | 4e | 99 | fa | 10 | 79 |\n| e | b1 | 86 | 82 | bf | f3 | c2 | c9 | f2 | 66 | 56 | 5b | 61 | 28 | 1e | 1c | 20 |\n| f | e2 | e1 | de | d7 | 72 | 77 | 47 | 48 | 84 | 80 | b6 | b8 | 18 | 1a | 23 | 2b |",0]
["| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |\n| --- | --- | --- | --- |\n| 1 | 3 | 20 | 0 |\n| 2 | 2 | 20 | 0.8 |","| 3 | 3 | 40 | 0.5 |\n| --- | --- | --- | --- |\n| 4 | 3 | 20 | 0.8 |\n| 5 | 3 | 40 | 0.8 |",1]
["| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |\n| --- | --- | --- | --- |\n| 1 | 3 | 20 | 0 |\n| 2 | 2 | 20 | 0.8 |","| SOM | Nstep | #init | #database | Case | LOχ/N | NLOχ/N |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5x5 | 5 | 5 | 100 | 1 | 1.19 | 1.28 |\n| 5x5 | 5 | 5 | 100 | 2 | 1.37 | 1.44 |\n| 5x5 | 5 | 10 | 100 | 1 | 1.16 | 1.25 |\n| 5x5 | 5 | 10 | 100 | 2 | 1.49 | 1.43 |\n| 5x5 | 5 | 15 | 100 | 1 | 1.16 | 1.45 |\n| 5x5 | 5 | 20 | 100 | 1 | 1.17 | - |\n| 5x5 | 10 | 10 | 100 | 1 | 1.16 | 1.30 |\n| 5x5 | 40 | 10 | 100 | 1 | 1.20 | - |\n| 15x15 | 5 | 5 | 900 | 1 | 1.22 | - |\n| 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |\n| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |\n| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 |",0]
["| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |\n| --- | --- | --- | --- |\n| 1 | 3 | 20 | 0 |\n| 2 | 2 | 20 | 0.8 |","| 3 | 3 | 40 | 0.5 |\n| --- | --- | --- | --- |\n| 4 | 3 | 20 | 0.8 |\n| 5 | 3 | 40 | 0.8 |",1]
["| ParameterSet | Ave.num.ofchildren | Num.ofindi.eachgeneration | Rateofhalf-sibling |\n| --- | --- | --- | --- |\n| 1 | 3 | 20 | 0 |\n| 2 | 2 | 20 | 0.8 |","| 15x15 | 5 | 5 | 900 | 2 | 1.31 | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| 15x15 | 5 | 30 | 900 | 1 | 1.16 | 1.25 |\n| 15x15 | 5 | 30 | 900 | 2 | 1.25 | l.53 |",0]
["| Subjectiveevaluation |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| BookImage | ClockImage |  |  |  |  |  |\n| Method | Q | SF | FMI | Q | SF | FMI |\n| DCT+Acmax | 0.8761 | 31.583 | 0.9136 | 0.8165 | 9.1052 | 0.9174 |","| DCT+Acmax+Cv | 0.8825 | 30.8665 | 0.9168 | 0.8728 | 8.9245 | 0.9262 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DCT+Varience | 0.8882 | 31.9622 | 0.9135 | 0.8841 | 9.3494 | 0.9234 |\n| DCT+Varience+Cv | 0.8871 | 31.2181 | 0.9166 | 0.8728 | 8.931 | 0.9258 |\n| DCT+SF | 0.8917 | 32.1506 | 0.9151 | 0.8902 | 9.4037 | 0.9247 |\n| DCT+SF+Cv | 0.8858 | 31.1966 | 0.9166 | 0.8778 | 8.97 | 0.9262 |\n| DCT+Ampmax(Proposed) | 0.8913 | 32.101 | 0.9146 | 0.8887 | 9.4038 | 0.9242 |\n| DCT+Ampmax+Cv(Proposed) | 0.8834 | 31.2024 | 0.9165 | 0.878 | 8.9773 | 0.9262 |",1]
["| Subjectiveevaluation |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| BookImage | ClockImage |  |  |  |  |  |\n| Method | Q | SF | FMI | Q | SF | FMI |\n| DCT+Acmax | 0.8761 | 31.583 | 0.9136 | 0.8165 | 9.1052 | 0.9174 |","| Objectiveevaluation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | SSIM | PSNR | MSE | MI | UIQI |\n| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |\n| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |\n| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |\n| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |\n| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |\n| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",0]
["| Subjectiveevaluation |  |\n| --- | --- |\n| BookImage | ClockImage |","| Method | Q | SF | FMI | Q | SF | FMI |\n| --- | --- | --- | --- | --- | --- | --- |\n| DCT+Acmax | 0.8761 | 31.583 | 0.9136 | 0.8165 | 9.1052 | 0.9174 |\n| DCT+Acmax+Cv | 0.8825 | 30.8665 | 0.9168 | 0.8728 | 8.9245 | 0.9262 |\n| DCT+Varience | 0.8882 | 31.9622 | 0.9135 | 0.8841 | 9.3494 | 0.9234 |\n| DCT+Varience+Cv | 0.8871 | 31.2181 | 0.9166 | 0.8728 | 8.931 | 0.9258 |\n| DCT+SF | 0.8917 | 32.1506 | 0.9151 | 0.8902 | 9.4037 | 0.9247 |\n| DCT+SF+Cv | 0.8858 | 31.1966 | 0.9166 | 0.8778 | 8.97 | 0.9262 |\n| DCT+Ampmax(Proposed) | 0.8913 | 32.101 | 0.9146 | 0.8887 | 9.4038 | 0.9242 |\n| DCT+Ampmax+Cv(Proposed) | 0.8834 | 31.2024 | 0.9165 | 0.878 | 8.9773 | 0.9262 |",1]
["| Subjectiveevaluation |  |\n| --- | --- |\n| BookImage | ClockImage |","| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |\n| --- | --- | --- | --- | --- | --- |\n| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |\n| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 |",0]
["| Method | Rep. | Images | Dataset | DI | Time |\n| --- | --- | --- | --- | --- | --- |\n| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |\n| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |\n| Balletal. | no | 60 | DDSM | 0.85 | ? |\n| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s |","| Rahmatietal. | no | 100 | DDSM | 0.93 | ? |\n| --- | --- | --- | --- | --- | --- |\n| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |\n| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s |\n| Proposed | yes | 116 | INbreast | 0.88 | 0.8s |\n| Cardosoetal. | yes | 116 | INbreast | 0.88 | ? |",1]
["| Method | Rep. | Images | Dataset | DI | Time |\n| --- | --- | --- | --- | --- | --- |\n| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |\n| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |\n| Balletal. | no | 60 | DDSM | 0.85 | ? |\n| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s |","| Method | Vrand | Vinfo | FCN | post-processing | averageover | parameters(M) |\n| --- | --- | --- | --- | --- | --- | --- |\n| CUMedVision | 0.977 | 0.989 | YES | YES | 6 | 8 |\n| Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |\n| IDSIA | 0.970 | 0.985 | NO | - | - | - |\n| motif | 0.972 | 0.985 | NO | - | - | - |\n| SCI | 0.971 | 0.982 | NO | - | - | - |\n| optree-idsia | 0.970 | 0.985 | NO | - | - | - |\n| PyraMiD-LSTM | 0.968 | 0.983 | NO | - | - | - |\n| Ours(L)Dice | 0.969 | 0.986 | YES | NO | Dropout | 11 |\n| Ours(L)bce | 0.957 | 0.980 | YES | NO | 1 | 11 |",0]
["| Method | Rep. | Images | Dataset | DI | Time |\n| --- | --- | --- | --- | --- | --- |\n| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |\n| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |\n| Balletal. | no | 60 | DDSM | 0.85 | ? |\n| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s |\n| Rahmatietal. | no | 100 | DDSM | 0.93 | ? |\n| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |\n| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s |","| Proposed | yes | 116 | INbreast | 0.88 | 0.8s |\n| --- | --- | --- | --- | --- | --- |\n| Cardosoetal. | yes | 116 | INbreast | 0.88 | ? |",1]
["| Method | Rep. | Images | Dataset | DI | Time |\n| --- | --- | --- | --- | --- | --- |\n| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |\n| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |\n| Balletal. | no | 60 | DDSM | 0.85 | ? |\n| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s |\n| Rahmatietal. | no | 100 | DDSM | 0.93 | ? |\n| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |\n| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s |","| Unet | 0.973 | 0.987 | YES | NO | 7 | 33 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDSIA | 0.970 | 0.985 | NO | - | - | - |\n| motif | 0.972 | 0.985 | NO | - | - | - |\n| SCI | 0.971 | 0.982 | NO | - | - | - |\n| optree-idsia | 0.970 | 0.985 | NO | - | - | - |\n| PyraMiD-LSTM | 0.968 | 0.983 | NO | - | - | - |\n| Ours(L)Dice | 0.969 | 0.986 | YES | NO | Dropout | 11 |\n| Ours(L)bce | 0.957 | 0.980 | YES | NO | 1 | 11 |",0]
["| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time |","| 10 | 14.87 | 8.48 | 85 | 10.55 | 11.08 | 217 | 15.81 | 6.61 | 85 | 10.30 | 9.24 | 252 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 2.97 | -20.07 | 146 | 7.90 | 4.88 | 365 | 1.55 | -22.24 | 152 | 7.63 | 3.08 | 413 |\n| 30 | -18.23 | -67.35 | 210 | 6.44 | 1.33 | 519 | -18.63 | -69.46 | 173 | 6.09 | -0.46 | 455 |\n| 40 | -50.81 | -137.34 | 275 | 5.15 | -1.19 | 695 | -50.80 | -139.08 | 197 | 4.79 | -2.98 | 546 |\n| 50 | -93.31 | -225.95 | 346 | 4.29 | -3.12 | 857 | -92.72 | -226.90 | 300 | 3.87 | -4.91 | 805 |\n| 60 | -119.03 | -254.19 | 407 | 3.46 | -4.72 | 995 | -120.69 | -258.14 | 295 | 3.06 | -6.51 | 767 |\n| 65 | -119.03 | -254.19 | 439 | 3.11 | -5.41 | 1067 | -120.69 | -258.14 | 323 | 2.70 | -7.20 | 840 |\n| 70 | -119.03 | -254.19 | 477 | 2.79 | -6.06 | 1175 | -120.69 | -258.14 | 456 | 2.38 | -7.85 | 1216 |",1]
["| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time |","| (cid:48)<br>M | N |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 66 | 70 | 74 | 78 | 82 |  |  |  |  |  |  |\n| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |  |\n| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |\n| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |\n| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |",0]
["| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time |\n| 10 | 14.87 | 8.48 | 85 | 10.55 | 11.08 | 217 | 15.81 | 6.61 | 85 | 10.30 | 9.24 | 252 |\n| 20 | 2.97 | -20.07 | 146 | 7.90 | 4.88 | 365 | 1.55 | -22.24 | 152 | 7.63 | 3.08 | 413 |\n| 30 | -18.23 | -67.35 | 210 | 6.44 | 1.33 | 519 | -18.63 | -69.46 | 173 | 6.09 | -0.46 | 455 |\n| 40 | -50.81 | -137.34 | 275 | 5.15 | -1.19 | 695 | -50.80 | -139.08 | 197 | 4.79 | -2.98 | 546 |\n| 50 | -93.31 | -225.95 | 346 | 4.29 | -3.12 | 857 | -92.72 | -226.90 | 300 | 3.87 | -4.91 | 805 |\n| 60 | -119.03 | -254.19 | 407 | 3.46 | -4.72 | 995 | -120.69 | -258.14 | 295 | 3.06 | -6.51 | 767 |","| 65 | -119.03 | -254.19 | 439 | 3.11 | -5.41 | 1067 | -120.69 | -258.14 | 323 | 2.70 | -7.20 | 840 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 70 | -119.03 | -254.19 | 477 | 2.79 | -6.06 | 1175 | -120.69 | -258.14 | 456 | 2.38 | -7.85 | 1216 |",1]
["| N | GPA(Gaussian) | Yang(Gaussian) | GPA(Box) | Yang(Box) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time | (cid:96)∞ | MSE | time |\n| 10 | 14.87 | 8.48 | 85 | 10.55 | 11.08 | 217 | 15.81 | 6.61 | 85 | 10.30 | 9.24 | 252 |\n| 20 | 2.97 | -20.07 | 146 | 7.90 | 4.88 | 365 | 1.55 | -22.24 | 152 | 7.63 | 3.08 | 413 |\n| 30 | -18.23 | -67.35 | 210 | 6.44 | 1.33 | 519 | -18.63 | -69.46 | 173 | 6.09 | -0.46 | 455 |\n| 40 | -50.81 | -137.34 | 275 | 5.15 | -1.19 | 695 | -50.80 | -139.08 | 197 | 4.79 | -2.98 | 546 |\n| 50 | -93.31 | -225.95 | 346 | 4.29 | -3.12 | 857 | -92.72 | -226.90 | 300 | 3.87 | -4.91 | 805 |\n| 60 | -119.03 | -254.19 | 407 | 3.46 | -4.72 | 995 | -120.69 | -258.14 | 295 | 3.06 | -6.51 | 767 |","| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |\n| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |\n| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |",0]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |","| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",1]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |","| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 |\n| Locations | 1 | 2 | 3 |  |  |  |\n| HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |\n| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |\n| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |\n| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |\n| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |\n| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 |\n| SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 |\n| SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 |\n| Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 |",0]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |","| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",1]
["| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |","| HadoopTerasort | 2312 | 2401 | 2623 | 3228 | 3358 | 3532 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SphereTerasort | 905 | 980 | 1106 | 1260 | 1401 | 1450 |\n| HadoopTerasplit | 460 | 623 | 860 | 1038 | 1272 | 1501 |\n| SphereTerasplit | 110 | 320 | 422 | 571 | 701 | 923 |\n| TotalHadoop | 2772 | 3024 | 3483 | 4266 | 4657 | 5033 |\n| TotalSphere | 1015 | 1300 | 1528 | 1831 | 2102 | 2373 |\n| SpeedupTerasort | 2.6 | 2.5 | 2.4 | 2.6 | 2.4 | 2.4 |\n| SpeedupTerasplit | 4.2 | 1.9 | 2.0 | 1.8 | 1.8 | 1.6 |\n| Speeduptotal | 2.7 | 2.3 | 2.3 | 2.3 | 2.2 | 2.1 |",0]
["| Method | PP | CP | LR | LC |\n| --- | --- | --- | --- | --- |\n| tﬁdf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |\n| tﬁdf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |\n| tﬁdf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |\n| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |\n| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |\n| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 |\n| node(4100+2810) | 41.54 | 74.68 | 86.65 | 22.34 |","| comb-2(8000) | 45.64 | 77.26 | 88.86 | 24.57 |\n| --- | --- | --- | --- | --- |\n| comb-2(6000) | 46.68 | 75.74 | 87.67 | 25.08 |\n| comb-2(10000) | 42.82 | 75.83 | 87.62 | 23.08 |",1]
["| Method | PP | CP | LR | LC |\n| --- | --- | --- | --- | --- |\n| tﬁdf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |\n| tﬁdf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |\n| tﬁdf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |\n| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |\n| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |\n| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 |\n| node(4100+2810) | 41.54 | 74.68 | 86.65 | 22.34 |","| Methods | ROUGE-1 | ROUGE-2 | ROUGE-L |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R | P | F1 | R | P | F1 | R | P | F1 | R | P |  |\n| LexRank | 11.32 | 11.16 | 11.04 | 1.32 | 1.34 | 1.31 | 10.33 | 10.16 | 10.06 | 3.41 | 3.38 |\n| RMRt | 11.17 | 10.25 | 10.54 | 2.25 | 2.16 | 2.19 | 10.22 | 9.39 | 9.65 | 3.88 | 3.66 |\n| CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |\n| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 |",0]
["| Method | PP | CP | LR | LC |\n| --- | --- | --- | --- | --- |\n| tﬁdf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |\n| tﬁdf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |\n| tﬁdf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |\n| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |\n| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |\n| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 |","| node(4100+2810) | 41.54 | 74.68 | 86.65 | 22.34 |\n| --- | --- | --- | --- | --- |\n| comb-2(8000) | 45.64 | 77.26 | 88.86 | 24.57 |\n| comb-2(6000) | 46.68 | 75.74 | 87.67 | 25.08 |\n| comb-2(10000) | 42.82 | 75.83 | 87.62 | 23.08 |",1]
["| Method | PP | CP | LR | LC |\n| --- | --- | --- | --- | --- |\n| tﬁdf(4000-2-20) | 41.33 | 75.00 | 86.86 | 22.14 |\n| tﬁdf(8000-2-20) | 41.39 | 74.95 | 86.83 | 22.16 |\n| tﬁdf(10000-2-20) | 41.39 | 74.96 | 86.85 | 22.18 |\n| path-1(4100-15) | 39.86 | 74.17 | 86.37 | 22.19 |\n| path-1(8080-20) | 41.08 | 74.83 | 86.60 | 22.19 |\n| Dep(5100+2875-20) | 41.54 | 75.34 | 87.08 | 22.47 |","| CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 |",0]
["|  | VoI | BDE | PRI | GTRC |\n| --- | --- | --- | --- | --- |\n| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |\n| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |\n| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |\n| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |\n| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |\n| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |","| PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |\n| --- | --- | --- | --- | --- |\n| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 |",1]
["|  | VoI | BDE | PRI | GTRC |\n| --- | --- | --- | --- | --- |\n| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |\n| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |\n| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |\n| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |\n| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |\n| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |","|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["|  | VoI | BDE | PRI | GTRC |\n| --- | --- | --- | --- | --- |\n| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |","| AllGMM | 3.01 | 11.04 | 0.87 | 0.43 |\n| --- | --- | --- | --- | --- |\n| PCAGMM | 3.94 | 12.01 | 0.85 | 0.34 |\n| IndGMM | 3.22 | 11.04 | 0.86 | 0.41 |\n| JCSD+RM | 2.21 | 8.97 | 0.91 | 0.60 |\n| AllGMM+RM | 2.41 | 9.28 | 0.90 | 0.58 |\n| PCAGMM+RM | 2.85 | 10.25 | 0.88 | 0.50 |\n| IndGMM+RM | 2.62 | 10.15 | 0.89 | 0.53 |",1]
["|  | VoI | BDE | PRI | GTRC |\n| --- | --- | --- | --- | --- |\n| JCSD | 2.68 | 10.00 | 0.87 | 0.46 |","| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["|  | Euclidean | SqEuclidean |\n| --- | --- | --- |\n|  | mAPrank-1 | mAPrank-1 |\n| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- |","| TriHard<br>AWTL | 66.6382.99<br>68.0384.20 | 64.4782.01<br>65.9582.16 |\n| --- | --- | --- |\n| TriHard(+Aug)<br>AWTL(+Aug) | 69.5785.14<br>70.8386.11 | 68.9284.12<br>69.6484.71 |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 71.1386.40<br>71.7686.94 | 0.160.36<br>70.1985.39 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 66.5085.70<br>72.6088.06<br>75.6789.46 | --<br>--<br>74.8187.92 |",1]
["|  | Euclidean | SqEuclidean |\n| --- | --- | --- |\n|  | mAPrank-1 | mAPrank-1 |\n| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- |","|  | Euclidean<br>mAPrank-1 | SqEuclidean<br>mAPrank-1 |\n| --- | --- | --- |\n| BoW+KISSME<br>LOMO+XQDA<br>Baseline<br>PAN<br>SVDNet | 12.1725.13<br>17.0430.75<br>44.9965.22<br>51.5171.59<br>56.8076.70 | --<br>--<br>--<br>--<br>-- |\n| TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |\n| TriHard(+Aug)<br>AWTL(+Aug) | 56.6574.91<br>57.2875.31 | 0.481.25<br>55.9475.04 |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 54.9074.23<br>58.7477.69 | 0.300.94<br>57.8476.21 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 48.9070.10<br>60.6079.20<br>63.4079.80 | --<br>--<br>63.2779.08 |",0]
["|  | Euclidean | SqEuclidean |\n| --- | --- | --- |\n|  | mAPrank-1 | mAPrank-1 |\n| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- |","| TriHard<br>AWTL | 66.6382.99<br>68.0384.20 | 64.4782.01<br>65.9582.16 |\n| --- | --- | --- |\n| TriHard(+Aug)<br>AWTL(+Aug) | 69.5785.14<br>70.8386.11 | 68.9284.12<br>69.6484.71 |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 71.1386.40<br>71.7686.94 | 0.160.36<br>70.1985.39 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 66.5085.70<br>72.6088.06<br>75.6789.46 | --<br>--<br>74.8187.92 |",1]
["|  | Euclidean | SqEuclidean |\n| --- | --- | --- |\n|  | mAPrank-1 | mAPrank-1 |\n| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- |","| TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |\n| --- | --- | --- |\n| TriHard(+Aug)<br>AWTL(+Aug) | 56.6574.91<br>57.2875.31 | 0.481.25<br>55.9475.04 |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 54.9074.23<br>58.7477.69 | 0.300.94<br>57.8476.21 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 48.9070.10<br>60.6079.20<br>63.4079.80 | --<br>--<br>63.2779.08 |",0]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |","| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 |\n| 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 |\n| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |\n| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 |",1]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |","| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |\n| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 |  |\n| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 |  |\n| 25 | 18.65 | 81.35 | 82.65 | 74.05 | 30.35 | 75.3 | 83.15 |  |\n| 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 |  |\n| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 |  |",0]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |\n| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 |  |\n| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 |  |","| 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |\n| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 |",1]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |\n| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 |  |\n| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 |  |","| 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 |",0]
["| Attribute | Description |\n| --- | --- |\n| domain | application’sdomain |","| appname | applicationidentiﬁer |\n| --- | --- |\n| access | application’spermissionsontheﬁxture |\n| expires | expirationdatein<br>generalizedtimenotation:<br>(YYYYMMDDHHMMSSZ) |",1]
["| Attribute | Description |\n| --- | --- |\n| domain | application’sdomain |","| Attributes | Possiblevalues |\n| --- | --- |\n| TYPE | or.INITIALSPREAD |\n| STARTTIME | Timeatwhichthetracewasinitialized. |\n| STARTINTENSITY | Initialintensityofthetrace. |\n| INTENSITY | Apositiverealnumbersmallerthan300. |\n| PATH | Alistof1to3parenttraces. |\n| MAXINTENSITY | 300 |\n| TARGETID | Usedforthetrackingmultipletargets. |",0]
["| Attribute | Description |\n| --- | --- |\n| domain | application’sdomain |","| appname | applicationidentiﬁer |\n| --- | --- |\n| access | application’spermissionsontheﬁxture |\n| expires | expirationdatein<br>generalizedtimenotation:<br>(YYYYMMDDHHMMSSZ) |",1]
["| Attribute | Description |\n| --- | --- |\n| domain | application’sdomain |","| MAXINTENSITY | 300 |\n| --- | --- |\n| TARGETID | Usedforthetrackingmultipletargets. |",0]
["| modality | physicalproperty | f(V) | range |\n| --- | --- | --- | --- |\n| M1 | 2Dshape | max.intensitygradients | [0,π] |","| M2 | 3Dgeometry | max.normalvectors | [0,π] |\n| --- | --- | --- | --- |\n| M3 | transparency | unavailabledepth | {0,1} |\n| M4 | specularreﬂection | max.intensity | {0,1} |",1]
["| modality | physicalproperty | f(V) | range |\n| --- | --- | --- | --- |\n| M1 | 2Dshape | max.intensitygradients | [0,π] |","| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |\n| Denoise-sq | 0.8 | uniform | approximate |\n| Denoise-ts | 0.7 | uniform | approximate |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["| modality | physicalproperty | f(V) | range |\n| --- | --- | --- | --- |\n| M1 | 2Dshape | max.intensitygradients | [0,π] |\n| M2 | 3Dgeometry | max.normalvectors | [0,π] |","| M3 | transparency | unavailabledepth | {0,1} |\n| --- | --- | --- | --- |\n| M4 | specularreﬂection | max.intensity | {0,1} |",1]
["| modality | physicalproperty | f(V) | range |\n| --- | --- | --- | --- |\n| M1 | 2Dshape | max.intensitygradients | [0,π] |\n| M2 | 3Dgeometry | max.normalvectors | [0,π] |","| Denoise-ts | 0.7 | uniform | approximate |\n| --- | --- | --- | --- |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["| Languagemodel | PPL |\n| --- | --- |\n| lettertrigraminputwithonelayer(baseline) | 63.2 |\n| +twohiddenlayers | 61.8 |\n| +threehiddenlayers | 59.1 |\n| +fourhiddenlayers | 59.6 |","| +ﬁvehiddenlayers | 60.2 |\n| --- | --- |\n| +sixhiddenlayers | 63.7 |",1]
["| Languagemodel | PPL |\n| --- | --- |\n| lettertrigraminputwithonelayer(baseline) | 63.2 |\n| +twohiddenlayers | 61.8 |\n| +threehiddenlayers | 59.1 |\n| +fourhiddenlayers | 59.6 |","| Languagemodel | PPL |\n| --- | --- |\n| RNN:2layers+wordinput(baseline) | 59.8 |\n| LSTM:wordinputinforwarddirection | 54.4 |\n| LSTM:wordinputinbackwarddirection | 53.4 |\n| LSTM:lettertrigraminputinforwarddirection | 52.1 |\n| LSTM:lettertrigraminputinbackwarddirection | 52.0 |",0]
["| Languagemodel | PPL |\n| --- | --- |\n| lettertrigraminputwithonelayer(baseline) | 63.2 |\n| +twohiddenlayers | 61.8 |","| +threehiddenlayers | 59.1 |\n| --- | --- |\n| +fourhiddenlayers | 59.6 |\n| +ﬁvehiddenlayers | 60.2 |\n| +sixhiddenlayers | 63.7 |",1]
["| Languagemodel | PPL |\n| --- | --- |\n| lettertrigraminputwithonelayer(baseline) | 63.2 |\n| +twohiddenlayers | 61.8 |","| LSTM:wordinputinbackwarddirection | 53.4 |\n| --- | --- |\n| LSTM:lettertrigraminputinforwarddirection | 52.1 |\n| LSTM:lettertrigraminputinbackwarddirection | 52.0 |",0]
["| peak=1 | peak=2 | peak=5 | peak=10 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | +BLP |  | +BLP |  | +BLP | +BLP | +BLP |  |\n| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 |","| House | 23.56 | 23.74 | 24.74 | 25.15 | 26.78 | 27.74 | 28.76 | 29.80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Barbara | 21.37 | 21.56 | 22.33 | 22.51 | 24.57 | 25.12 | 26.52 | 27.31 |\n| Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |\n| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 |",1]
["| peak=1 | peak=2 | peak=5 | peak=10 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | +BLP |  | +BLP |  | +BLP | +BLP | +BLP |  |\n| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 |","| peak=2 | peak=5 | peak=10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP | NLPCA | NLPCA+BLP |  |\n| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |\n| House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |\n| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |\n| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |\n| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 |",0]
["| peak=1 | peak=2 | peak=5 | peak=10 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | +BLP |  | +BLP |  | +BLP | +BLP | +BLP |  |\n| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 |","| House | 23.56 | 23.74 | 24.74 | 25.15 | 26.78 | 27.74 | 28.76 | 29.80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Barbara | 21.37 | 21.56 | 22.33 | 22.51 | 24.57 | 25.12 | 26.52 | 27.31 |\n| Lena | 24.01 | 24.32 | 25.27 | 25.77 | 27.07 | 28.01 | 28.54 | 29.59 |\n| Average | 22.53 | 22.73 | 23.67 | 24.02 | 25.73 | 26.51 | 27.55 | 28.39 |",1]
["| peak=1 | peak=2 | peak=5 | peak=10 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | +BLP |  | +BLP |  | +BLP | +BLP | +BLP |  |\n| Cameraman | 21.17 | 21.29 | 22.34 | 22.65 | 24.53 | 25.19 | 26.38 | 26.88 |","| Cameraman | 20.84 | 21.21 | 20.69 | 21.56 | 20.82 | 22.02 |\n| --- | --- | --- | --- | --- | --- | --- |\n| House | 22.64 | 23.40 | 23.42 | 24.29 | 23.97 | 25.14 |\n| Barbara | 21.47 | 21.80 | 21.83 | 22.19 | 22.02 | 22.52 |\n| Lena | 23.64 | 24.30 | 24.70 | 25.35 | 24.99 | 25.81 |\n| Average | 22.14 | 22.68 | 22.66 | 23.35 | 22.95 | 23.87 |",0]
["| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |\n| --- | --- | --- | --- |\n| Sports | 64 | 0.972 | 1.93×10 |\n| Animals | 108 | 0.982 | 3.14×10 |\n| Clothes | 88 | 0.882 | 1.71×10 |","| Food | 107 | 0.979 | 2.56×10 |\n| --- | --- | --- | --- |\n| Furniture | 38 | 0.942 | 5.52×10 |\n| Music | 16 | 0.983 | 1.30×10 |\n| Plants | 33 | 0.954 | 2.36×10 |\n| Structures | 17 | 0.973 | 8.33×10 |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",1]
["| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |\n| --- | --- | --- | --- |\n| Sports | 64 | 0.972 | 1.93×10 |\n| Animals | 108 | 0.982 | 3.14×10 |\n| Clothes | 88 | 0.882 | 1.71×10 |","| Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |\n| --- | --- | --- | --- | --- |\n| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |\n| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |\n| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |\n| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |\n| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",0]
["| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |\n| --- | --- | --- | --- |\n| Sports | 64 | 0.972 | 1.93×10 |\n| Animals | 108 | 0.982 | 3.14×10 |\n| Clothes | 88 | 0.882 | 1.71×10 |\n| Food | 107 | 0.979 | 2.56×10 |","| Furniture | 38 | 0.942 | 5.52×10 |\n| --- | --- | --- | --- |\n| Music | 16 | 0.983 | 1.30×10 |\n| Plants | 33 | 0.954 | 2.36×10 |\n| Structures | 17 | 0.973 | 8.33×10 |\n| Places | 73 | 1.000 | 6.03×10 |\n| Scenes | 113 | 0.923 | 1.41×10 |\n| Vehicles | 53 | 0.978 | 6.55×10 |",1]
["| Category | #of<br>Concepts | AvgAUC | Avgratioof<br>positives |\n| --- | --- | --- | --- |\n| Sports | 64 | 0.972 | 1.93×10 |\n| Animals | 108 | 0.982 | 3.14×10 |\n| Clothes | 88 | 0.882 | 1.71×10 |\n| Food | 107 | 0.979 | 2.56×10 |","| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| --- | --- | --- | --- | --- |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |\n| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",0]
["| Parameter | Value |\n| --- | --- |\n| Pipelinewidth | 4(2ALUs,2memory,1mult) |\n| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |\n| IFQ,RUU,LSQ | 16instructions,128entries,64entries |\n| Branchpredictor | 2-level |\n| Firstlevel | 13-bitregister(xoredwithPC) |\n| Secondlevel | 8192entries |\n| BTB | 4096entries,2-way |\n| Instructionset | PISA |","| L1cache | 32KBI&D,4-assoc,64Blines,1cyclehit |\n| --- | --- |\n| L2cache | 512KB,8-assoc,256Blines,5cycleshit |\n| L3cache | 2MB,8-assoc,256Blines,20cycleshit |\n| Memory | 200cyclesﬁrstchunk,20cyclesnextchunk |",1]
["| Parameter | Value |\n| --- | --- |\n| Pipelinewidth | 4(2ALUs,2memory,1mult) |\n| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |\n| IFQ,RUU,LSQ | 16instructions,128entries,64entries |\n| Branchpredictor | 2-level |\n| Firstlevel | 13-bitregister(xoredwithPC) |\n| Secondlevel | 8192entries |\n| BTB | 4096entries,2-way |\n| Instructionset | PISA |","| Oceancp | Radix |  |  |  |\n| --- | --- | --- | --- | --- |\n| T=400 | T=1,200 | T=400 | T=1,200 |  |\n| Cores | 2 | 2 | 4 | 4 |\n| Frequency | 3200 | 3200 | 3200 | 3200 |\n| L1-ICacheSize | 8 | 128 | 8 | 128 |\n| L1-DCacheSize | 32 | 128 | 64 | 16 |\n| L2CacheSize | 1024 | 512 | 1024 | 512 |\n| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",0]
["| Parameter | Value |\n| --- | --- |\n| Pipelinewidth | 4(2ALUs,2memory,1mult) |\n| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |\n| IFQ,RUU,LSQ | 16instructions,128entries,64entries |\n| Branchpredictor | 2-level |\n| Firstlevel | 13-bitregister(xoredwithPC) |\n| Secondlevel | 8192entries |\n| BTB | 4096entries,2-way |","| Instructionset | PISA |\n| --- | --- |\n| L1cache | 32KBI&D,4-assoc,64Blines,1cyclehit |\n| L2cache | 512KB,8-assoc,256Blines,5cycleshit |\n| L3cache | 2MB,8-assoc,256Blines,20cycleshit |\n| Memory | 200cyclesﬁrstchunk,20cyclesnextchunk |",1]
["| Parameter | Value |\n| --- | --- |\n| Pipelinewidth | 4(2ALUs,2memory,1mult) |\n| Pipelinedepth | 19(4fetch,4decode,2dispatch,<br>5issue,1execute,2writeback,1commit) |\n| IFQ,RUU,LSQ | 16instructions,128entries,64entries |\n| Branchpredictor | 2-level |\n| Firstlevel | 13-bitregister(xoredwithPC) |\n| Secondlevel | 8192entries |\n| BTB | 4096entries,2-way |","| L2CacheSize | 1024 | 512 | 1024 | 512 |\n| --- | --- | --- | --- | --- |\n| L3CacheSize | 4096 | 8192 | 8192 | 8192 |\n| FIRWidth | 16 | 4 | 2 | 2 |\n| ROBSize | 256 | 256 | 64 | 64 |\n| BranchPrediction | x2 | x2 | x2 | x |\n| TotalPower[W] | 2.622 | 2.312 | 2.137 | 1.798 |\n| ExecutionTime[ms] | 74.126 | 66.096 | 7.264 | 7.245 |",0]
["|  |  | Our-Sampling | Our-Smooth |\n| --- | --- | --- | --- |\n| 51.7 | 27.5 | 40.6 | 45.9 |","| 17.5 | 33.3 | 39.8 | 40.6 |\n| --- | --- | --- | --- |\n| 34.4 | 27.8 | 33.3 | 36.4 |\n| 34.7 | 34.1 | 34.1 | 33.9 |\n| 22.3 | 42.0 | 35.3 | 35.3 |\n| 17.9 | 28.4 | 18.9 | 22.1 |\n| 13.5 | 35.7 | 27.0 | 27.2 |\n| 26.7 | 35.6 | 21.9 | 25.2 |\n| 41.2 | 22.0 | 17.6 | 20.0 |\n| 25.0 | 25.0 | 32.6 | 35.8 |\n| 28.5 | 31.1 | 30.1 | 32.2 |",1]
["|  |  | Our-Sampling | Our-Smooth |\n| --- | --- | --- | --- |\n| 51.7 | 27.5 | 40.6 | 45.9 |","| 47.0 | 41.1 | 22.0 | 32.9 | 17.4 | 16.2 | 32.1 | 39.1 | 14.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40.8 | 36.3 | 38.9 | 49.6 | 547.0 | 17.5 | 29.8 | 39.8 | 14.5 |\n| 32.0 | 30.0 | 21.7 | 31.9 | 19.5 | 14.8 | 24.1 | 29.6 | 13.1 |\n| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",0]
["|  |  | Our-Sampling | Our-Smooth |\n| --- | --- | --- | --- |\n| 51.7 | 27.5 | 40.6 | 45.9 |\n| 17.5 | 33.3 | 39.8 | 40.6 |\n| 34.4 | 27.8 | 33.3 | 36.4 |\n| 34.7 | 34.1 | 34.1 | 33.9 |\n| 22.3 | 42.0 | 35.3 | 35.3 |\n| 17.9 | 28.4 | 18.9 | 22.1 |\n| 13.5 | 35.7 | 27.0 | 27.2 |\n| 26.7 | 35.6 | 21.9 | 25.2 |","| 41.2 | 22.0 | 17.6 | 20.0 |\n| --- | --- | --- | --- |\n| 25.0 | 25.0 | 32.6 | 35.8 |\n| 28.5 | 31.1 | 30.1 | 32.2 |",1]
["|  |  | Our-Sampling | Our-Smooth |\n| --- | --- | --- | --- |\n| 51.7 | 27.5 | 40.6 | 45.9 |\n| 17.5 | 33.3 | 39.8 | 40.6 |\n| 34.4 | 27.8 | 33.3 | 36.4 |\n| 34.7 | 34.1 | 34.1 | 33.9 |\n| 22.3 | 42.0 | 35.3 | 35.3 |\n| 17.9 | 28.4 | 18.9 | 22.1 |\n| 13.5 | 35.7 | 27.0 | 27.2 |\n| 26.7 | 35.6 | 21.9 | 25.2 |","| 30.3 | 28.6 | 28.2 | 38.7 | 109.4 | 13.8 | 20.9 | 30.2 | 12.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 43.5 | 38.6 | 35.9 | 46.7 | 49.3 | 16.2 | 35.3 | 48.7 | 14.5 |",0]
["| Feature |\n| --- |\n| Numberofexclamation/questionmark |","| Numberofpositive/negativewords |\n| --- |\n| Sentimentscore |\n| Numberofwords/characters |\n| Numberofﬁrst/second/thirdorderofperson |\n| NumberofPeople/Location/Organization |\n| NumberofURL/@/# |",1]
["| Feature |\n| --- |\n| Numberofexclamation/questionmark |","| NumberofDocuments: | 163 |\n| --- | --- |\n| NumberofToken: | 71,888 |\n| NumberofSentences: | 3,027 |\n| AnnotatedSentences(messages): | 1,017 |\n| DistinctVerbsandNounsintheCorpus: | 7,185 |\n| DistinctVerbsandNounsintheMessages: | 2,426 |",0]
["| Feature |\n| --- |\n| Numberofexclamation/questionmark |\n| Numberofpositive/negativewords |\n| Sentimentscore |","| Numberofwords/characters |\n| --- |\n| Numberofﬁrst/second/thirdorderofperson |\n| NumberofPeople/Location/Organization |\n| NumberofURL/@/# |",1]
["| Feature |\n| --- |\n| Numberofexclamation/questionmark |\n| Numberofpositive/negativewords |\n| Sentimentscore |","| DistinctVerbsandNounsintheCorpus: | 7,185 |\n| --- | --- |\n| DistinctVerbsandNounsintheMessages: | 2,426 |",0]
["| Intersection | Left | Straight | Right | U-Turn | Total |\n| --- | --- | --- | --- | --- | --- |\n| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |\n| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |\n| Roslyn-Crieﬀ | 183 | 3000 | 69 | 10 | 3262 |\n| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 |","| Oliver-Wyndora | 374 | 5347 | 222 | 9 | 5952 |\n| --- | --- | --- | --- | --- | --- |\n| Total | 5316 | 16638 | 1900 | 58 | 23912 |",1]
["| Intersection | Left | Straight | Right | U-Turn | Total |\n| --- | --- | --- | --- | --- | --- |\n| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |\n| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |\n| Roslyn-Crieﬀ | 183 | 3000 | 69 | 10 | 3262 |\n| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 |","| Alg. | H | AT | LWT | RWT |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |\n| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",0]
["| Intersection | Left | Straight | Right | U-Turn | Total |\n| --- | --- | --- | --- | --- | --- |\n| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |\n| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |\n| Roslyn-Crieﬀ | 183 | 3000 | 69 | 10 | 3262 |\n| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 |","| Oliver-Wyndora | 374 | 5347 | 222 | 9 | 5952 |\n| --- | --- | --- | --- | --- | --- |\n| Total | 5316 | 16638 | 1900 | 58 | 23912 |",1]
["| Intersection | Left | Straight | Right | U-Turn | Total |\n| --- | --- | --- | --- | --- | --- |\n| Queen-Hanks | 466 | 5110 | 155 | 13 | 5744 |\n| Leith-Croydon | 2577 | 1356 | 1237 | 16 | 5186 |\n| Roslyn-Crieﬀ | 183 | 3000 | 69 | 10 | 3262 |\n| Orchard-Mitchell | 1716 | 1825 | 217 | 10 | 3768 |","| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",0]
["| Classiﬁer | AreaunderROC | Accuracy |\n| --- | --- | --- |\n| AdaBoost | .9961 | 99.53 |\n| Bayesian | .9078 | 92.08 |\n| DecisionTree | .9877 | 99.22 |","| LogitBoost | .9986 | 99.22 |\n| --- | --- | --- |\n| WeightedVoting | .9783 | 93.17 |\n| Baseline | .8544 | 89.72 |",1]
["| Classiﬁer | AreaunderROC | Accuracy |\n| --- | --- | --- |\n| AdaBoost | .9961 | 99.53 |\n| Bayesian | .9078 | 92.08 |\n| DecisionTree | .9877 | 99.22 |","| Classiﬁer | AreaUnderPrecision-RecallCurve |  |\n| --- | --- | --- |\n| Class<30 | Class<30+Class>30 |  |\n| NaiveBayes | 0.214 | 0.63 |\n| BayesNetwork | 0.208 | 0.637 |\n| RandomForest | 0.242 | 0.65 |\n| AdaboostTrees | 0.167 | 0.569 |\n| NeuralNetworks | 0.233 | 0.654 |",0]
["| Classiﬁer | AreaunderROC | Accuracy |\n| --- | --- | --- |\n| AdaBoost | .9961 | 99.53 |\n| Bayesian | .9078 | 92.08 |","| DecisionTree | .9877 | 99.22 |\n| --- | --- | --- |\n| LogitBoost | .9986 | 99.22 |\n| WeightedVoting | .9783 | 93.17 |\n| Baseline | .8544 | 89.72 |",1]
["| Classiﬁer | AreaunderROC | Accuracy |\n| --- | --- | --- |\n| AdaBoost | .9961 | 99.53 |\n| Bayesian | .9078 | 92.08 |","| RandomForest | 0.242 | 0.65 |\n| --- | --- | --- |\n| AdaboostTrees | 0.167 | 0.569 |\n| NeuralNetworks | 0.233 | 0.654 |",0]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |\n|  | Π=62.15 | Π=61.43 |  |  |  |  |  |  |  |  |","|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |\n|  | Π=321.375 | Π=321.368 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |\n|  | Π=354.558 | Π=354.55 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |\n|  | Π=62.15 | Π=61.43 |  |  |  |  |  |  |  |  |","|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |\n|  | Π=64.30 | Π=64.34 |  |  |  |  |  |  |  |  |",0]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |\n|  | Π=62.15 | Π=61.43 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |\n|  | Π=321.375 | Π=321.368 |  |  |  |  |  |  |  |  |","|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 1<br>1<br>1<br>1<br>1<br>1 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 | 0.00<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 13.34<br>13.34<br>13.34<br>25.00<br>25.00<br>25.00 |\n|  | Π=354.558 | Π=354.55 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.37<br>0.00<br>0.00<br>10.00<br>0.00<br>8.22 | 5.04<br>2.04<br>0.00<br>4.41<br>0.00<br>0.00 | 3.33<br>3.00<br>2.04<br>5.59<br>4.41<br>8.22 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>10.00<br>0.00<br>10.00<br>0.00 | 3.00<br>0.00<br>6.08<br>0.00<br>3.54<br>0.00 | 3.34<br>3.00<br>3.92<br>6.08<br>6.46<br>3.54 |\n|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>0<br>1 | 8.33<br>0.00<br>0.00<br>12.67<br>0.00<br>7.34 | 5.00<br>2.00<br>0.00<br>5.33<br>0.00<br>0.00 | 3.34<br>3.00<br>2.00<br>7.34<br>5.33<br>7.34 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 |\n|  | Π=62.15 | Π=61.43 |  |  |  |  |  |  |  |  |\n|  | F=10,H=1,K=10 | F=10,H=1,K=10 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.89<br>3.11<br>0.22<br>0.00<br>0.00 | 10.00<br>9.11<br>7.78<br>12.89<br>10.22<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.90<br>3.11<br>0.23<br>0.00<br>0.00 | 10.00<br>9.10<br>7.78<br>12.89<br>10.23<br>10.00 |\n|  | Π=321.375 | Π=321.368 |  |  |  |  |  |  |  |  |","|  | Π=67.13 | Π=65.72 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>0<br>1<br>1<br>0 | 9.00<br>0.00<br>0.00<br>8.00<br>10.00<br>0.00 | 5.67<br>2.67<br>0.00<br>0.66<br>4.00<br>0.00 | 3.33<br>3.00<br>2.67<br>7.34<br>6.67<br>4.00 | 1<br>0<br>0<br>1<br>0<br>1 | 9.01<br>0.00<br>0.00<br>10.00<br>0.00<br>8.00 | 5.67<br>2.67<br>0.00<br>4.67<br>0.00<br>0.00 | 3.34<br>3.00<br>2.67<br>5.33<br>4.67<br>8.00 |\n|  | Π=64.30 | Π=64.34 |  |  |  |  |  |  |  |  |",0]
["| Numberoflayers | 512width | 1024width |\n| --- | --- | --- |\n| 3 | 48.5 | 38.1 |\n| 4 | 38.3 | 34.6 |\n| 5 | 36.2 | 31.9 |","| 6 | 34.5 | 30.3 |\n| --- | --- | --- |\n| 7 | 32.5 | 30.6 |\n| 8 | 31.0 | 31.3 |\n| 9 | 31.4 | 29.4 |\n| 10 | 31.5 | 29.4 |",1]
["| Numberoflayers | 512width | 1024width |\n| --- | --- | --- |\n| 3 | 48.5 | 38.1 |\n| 4 | 38.3 | 34.6 |\n| 5 | 36.2 | 31.9 |","| block-size/sparsity | top-10 | top-20 | top-30 | top-40 |\n| --- | --- | --- | --- | --- |\n| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |\n| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |\n| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |\n| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",0]
["| Numberoflayers | 512width | 1024width |\n| --- | --- | --- |\n| 3 | 48.5 | 38.1 |","| 4 | 38.3 | 34.6 |\n| --- | --- | --- |\n| 5 | 36.2 | 31.9 |\n| 6 | 34.5 | 30.3 |\n| 7 | 32.5 | 30.6 |\n| 8 | 31.0 | 31.3 |\n| 9 | 31.4 | 29.4 |\n| 10 | 31.5 | 29.4 |",1]
["| Numberoflayers | 512width | 1024width |\n| --- | --- | --- |\n| 3 | 48.5 | 38.1 |","| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| --- | --- | --- | --- | --- |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",0]
["| LayerswithDropout | Dropoutratio |  |\n| --- | --- | --- |\n| 0.4 | 0.5 |  |\n| fc7+fc6 | 0.854 | 0.853 |\n| fc7+fc6+conv5 | 0.853 | 0.854 |\n| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |\n| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |","| fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |\n| --- | --- | --- |\n| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 |",1]
["| LayerswithDropout | Dropoutratio |  |\n| --- | --- | --- |\n| 0.4 | 0.5 |  |\n| fc7+fc6 | 0.854 | 0.853 |\n| fc7+fc6+conv5 | 0.853 | 0.854 |\n| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |\n| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |","| Process | LayerName | LayerType | fpoperationsperimage | Device |\n| --- | --- | --- | --- | --- |\n| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |\n| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |\n| FC7 | FC-dropout | 67108864 | K40-cudnn |  |\n| FC8 | FC-softmax | 16384000 | K40-cudnn |  |\n| FC6 | FC-dropout | 150994944 | K40-cublas |  |\n| FC7 | FC-dropout | 67108864 | K40-cublas |  |\n| FC8 | FC-softmax | 16384000 | K40-cublas |  |",0]
["| LayerswithDropout | Dropoutratio |\n| --- | --- |\n| 0.4 | 0.5 |","| fc7+fc6 | 0.854 | 0.853 |\n| --- | --- | --- |\n| fc7+fc6+conv5 | 0.853 | 0.854 |\n| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |\n| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |\n| fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |\n| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 |",1]
["| LayerswithDropout | Dropoutratio |\n| --- | --- |\n| 0.4 | 0.5 |","| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| --- | --- | --- | --- | --- |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |\n| FC7 | FC-dropout | 67108864 | K40-cudnn |  |\n| FC8 | FC-softmax | 16384000 | K40-cudnn |  |\n| FC6 | FC-dropout | 150994944 | K40-cublas |  |\n| FC7 | FC-dropout | 67108864 | K40-cublas |  |\n| FC8 | FC-softmax | 16384000 | K40-cublas |  |",0]
["| r | 2 | 3 | 4 |\n| --- | --- | --- | --- |\n| n1 | 1000 | 957 | 814 |\n| n2 | 964 | 867 | 571 |\n| n3 | 36 | 90 | 243 |","| n4 | 0 | 43 | 180 |\n| --- | --- | --- | --- |\n| n5 | 0 | 0 | 6 |",1]
["| r | 2 | 3 | 4 |\n| --- | --- | --- | --- |\n| n1 | 1000 | 957 | 814 |\n| n2 | 964 | 867 | 571 |\n| n3 | 36 | 90 | 243 |","| 449 | 144 |\n| --- | --- |\n| 457 | 162 |\n| 434 | 158 |\n| 541 | 184 |\n| 615 | 245 |\n| 585 | 233 |\n| 217 | 99 |\n| 236 | 110 |\n| 285 | 155 |\n| 120 | 57 |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| r | 2 | 3 | 4 |\n| --- | --- | --- | --- |\n| n1 | 1000 | 957 | 814 |\n| n2 | 964 | 867 | 571 |\n| n3 | 36 | 90 | 243 |","| n4 | 0 | 43 | 180 |\n| --- | --- | --- | --- |\n| n5 | 0 | 0 | 6 |",1]
["| r | 2 | 3 | 4 |\n| --- | --- | --- | --- |\n| n1 | 1000 | 957 | 814 |\n| n2 | 964 | 867 | 571 |\n| n3 | 36 | 90 | 243 |","| 120 | 57 |\n| --- | --- |\n| 112 | 52 |\n| 190 | 105 |\n| 57 | 10 |\n| 67 | 24 |\n| 346 | 212 |\n| 123 | 43 |\n| 95 | 57 |\n| 119 | 86 |\n| 310 | 212 |\n| 110 | 85 |\n| 160 | 111 |\n| 40 | 6 |\n| 116 | 84 |\n| 76 | 47 |",0]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| EddyEko | 150000 | 15000 | 20000 | 100000 |\n| FaridAL | 35000 | 150000 | 25000 | 30000 |\n| JackFack | 180000 | 80000 | 30000 | 80000 |","| JeanKam | 450000 | 100000 | 200000 | 10000 |\n| --- | --- | --- | --- | --- |\n| LyneWirl | 50000 | 5000 | 10000 | 70000 |\n| Menwick | 200000 | 20000 | 5000 | 5000 |\n| SarahDong | 45000 | 25000 | 50000 | 60000 |\n| SlyDolce | 70000 | 35000 | 40000 | 15000 |",1]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| EddyEko | 150000 | 15000 | 20000 | 100000 |\n| FaridAL | 35000 | 150000 | 25000 | 30000 |\n| JackFack | 180000 | 80000 | 30000 | 80000 |","| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 150000 | 20000 | 30000 | 80000 |\n| SlyDolce | 35000 | 5000 | 25000 | 15000 |\n| Menwick | 70000 | 35000 | 5000 | 10000 |\n| SarahDong | 45000 | 25000 | 10000 | 5000 |\n| EddyEko | 50000 | 15000 | 20000 | 30000 |\n| LyneWirl | 180000 | 100000 | 50000 | 70000 |\n| JackFack | 200000 | 80000 | 40000 | 60000 |\n| FaridAl | 450000 | 150000 | 200000 | 100000 |",0]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| EddyEko | 150000 | 15000 | 20000 | 100000 |\n| FaridAL | 35000 | 150000 | 25000 | 30000 |\n| JackFack | 180000 | 80000 | 30000 | 80000 |\n| JeanKam | 450000 | 100000 | 200000 | 10000 |\n| LyneWirl | 50000 | 5000 | 10000 | 70000 |","| Menwick | 200000 | 20000 | 5000 | 5000 |\n| --- | --- | --- | --- | --- |\n| SarahDong | 45000 | 25000 | 50000 | 60000 |\n| SlyDolce | 70000 | 35000 | 40000 | 15000 |",1]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| EddyEko | 150000 | 15000 | 20000 | 100000 |\n| FaridAL | 35000 | 150000 | 25000 | 30000 |\n| JackFack | 180000 | 80000 | 30000 | 80000 |\n| JeanKam | 450000 | 100000 | 200000 | 10000 |\n| LyneWirl | 50000 | 5000 | 10000 | 70000 |","| EddyEko | 50000 | 15000 | 20000 | 30000 |\n| --- | --- | --- | --- | --- |\n| LyneWirl | 180000 | 100000 | 50000 | 70000 |\n| JackFack | 200000 | 80000 | 40000 | 60000 |\n| FaridAl | 450000 | 150000 | 200000 | 100000 |",0]
["| TheNumberofAction | 3 | 101 | 1001 | 2001 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |\n| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |\n| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |\n| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |\n| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |\n| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |\n| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |\n| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |\n| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |\n| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |","| Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |\n| --- | --- | --- | --- | --- |\n| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |\n| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |\n| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |\n| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |\n| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |\n| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |\n| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |\n| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |\n| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |\n| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |\n| EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |\n| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |\n| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |\n| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |\n| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |\n| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 |",1]
["| TheNumberofAction | 3 | 101 | 1001 | 2001 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |\n| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |\n| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |\n| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |\n| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |\n| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |\n| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |\n| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |\n| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |\n| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |","| TheNumberofAction | 9 | 121 | 961 | 2601 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |\n| Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |\n| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |\n| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |\n| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |\n| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |\n| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |\n| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |\n| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |\n| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |\n| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |\n| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |\n| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |\n| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |\n| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |\n| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |\n| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |\n| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |\n| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 |\n| EpsGrdy+SoftBellman-0.1 | 9844 | 6918 | 6752 | 7849 |\n| EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |\n| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |\n| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |\n| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 |",0]
["| TheNumberofAction | 3 | 101 | 1001 | 2001 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |\n| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |\n| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |\n| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |\n| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |\n| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |\n| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |\n| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |\n| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |\n| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |\n| Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |\n| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |\n| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |\n| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |\n| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |\n| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |\n| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |\n| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |\n| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |\n| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |\n| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |","| EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |\n| --- | --- | --- | --- | --- |\n| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |\n| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |\n| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |\n| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |\n| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 |",1]
["| TheNumberofAction | 3 | 101 | 1001 | 2001 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |\n| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |\n| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |\n| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |\n| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |\n| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |\n| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |\n| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |\n| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |\n| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |\n| Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |\n| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |\n| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |\n| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |\n| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |\n| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |\n| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |\n| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |\n| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |\n| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |\n| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |","| EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |\n| --- | --- | --- | --- | --- |\n| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |\n| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |\n| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 |",0]
["| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |\n| --- | --- | --- | --- | --- | --- |\n| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 |\n| 0.10 | 0.66 | 0.49 | 0.93 | 1.15 | 1.36 |\n| 0.15 | 0.15 | 0.36 | 0.48 | 0.43 | 0.59 |","| 0.20 | 0.15 | 0.11 | 0.40 | 0.21 | 0.42 |\n| --- | --- | --- | --- | --- | --- |\n| 0.25 | 0.13 | 0.10 | 0.19 | 0.18 | 0.3 |\n| 0.30 | 0.11 | 0.08 | 0.15 | 0.10 | 0.28 |",1]
["| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |\n| --- | --- | --- | --- | --- | --- |\n| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 |\n| 0.10 | 0.66 | 0.49 | 0.93 | 1.15 | 1.36 |\n| 0.15 | 0.15 | 0.36 | 0.48 | 0.43 | 0.59 |","| Dataset | Size | Dimensions | Classes |\n| --- | --- | --- | --- |\n| COIL-20 | 1,440 | 1,024 | 20 |\n| PenDigits | 7,494 | 16 | 10 |\n| USPS | 9,298 | 256 | 10 |\n| MNIST | 70,000 | 784 | 10 |\n| RCV1 | 193,844 | 47,236 | 103 |",0]
["| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |\n| --- | --- | --- | --- | --- | --- |\n| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 |","| 0.10 | 0.66 | 0.49 | 0.93 | 1.15 | 1.36 |\n| --- | --- | --- | --- | --- | --- |\n| 0.15 | 0.15 | 0.36 | 0.48 | 0.43 | 0.59 |\n| 0.20 | 0.15 | 0.11 | 0.40 | 0.21 | 0.42 |\n| 0.25 | 0.13 | 0.10 | 0.19 | 0.18 | 0.3 |\n| 0.30 | 0.11 | 0.08 | 0.15 | 0.10 | 0.28 |",1]
["| sparTH | COIL-20 | PenDigits | USPS | MNIST | RCV1 |\n| --- | --- | --- | --- | --- | --- |\n| 0.05 | 2.24 | 12.52 | 28.68 | 277.60 | 42.04 |","| MNIST | 70,000 | 784 | 10 |\n| --- | --- | --- | --- |\n| RCV1 | 193,844 | 47,236 | 103 |",0]
["|  | #threads | #branches | #tweets |\n| --- | --- | --- | --- |\n| Development | 25 | 215 | 281 |","| Testing | 28 | 772 | 1049 |\n| --- | --- | --- | --- |\n| Training | 272 | 3030 | 4238 |\n| Total | 325 | 4017 | 5568 |",1]
["|  | #threads | #branches | #tweets |\n| --- | --- | --- | --- |\n| Development | 25 | 215 | 281 |","|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |\n| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["|  | #threads | #branches | #tweets |\n| --- | --- | --- | --- |\n| Development | 25 | 215 | 281 |\n| Testing | 28 | 772 | 1049 |","| Training | 272 | 3030 | 4238 |\n| --- | --- | --- | --- |\n| Total | 325 | 4017 | 5568 |",1]
["|  | #threads | #branches | #tweets |\n| --- | --- | --- | --- |\n| Development | 25 | 215 | 281 |\n| Testing | 28 | 772 | 1049 |","| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| --- | --- | --- | --- | --- |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["| Method | Book | DVD | Music | Average |\n| --- | --- | --- | --- | --- |\n| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 |","| TrainENG | 0.776 | 0.759 | 0.738 | 0.728 |\n| --- | --- | --- | --- | --- |\n| Co-Train(Best) | 0.796 | 0.804 | 0.783 | 0.794 |\n| CL-SCL | 0.780 | 0.772 | 0.739 | 0.763 |\n| NLP&CC2013(Best) | 0.785 | 0.777 | 0.751 | 0.771 |\n| NTD(Best) | 0.805 | 0.822 | 0.797 | 0.808 |\n| BSWE(Best) | 0.810 | 0.816 | 0.794 | 0.807 |\n| SCL-OM | 0.829 | 0.826 | 0.787 | 0.814 |\n| SCL-OM(Best) | 0.829 | 0.833 | 0.787 | 0.816 |",1]
["| Method | Book | DVD | Music | Average |\n| --- | --- | --- | --- | --- |\n| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 |","| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |\n| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Method | Book | DVD | Music | Average |\n| --- | --- | --- | --- | --- |\n| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 |\n| TrainENG | 0.776 | 0.759 | 0.738 | 0.728 |\n| Co-Train(Best) | 0.796 | 0.804 | 0.783 | 0.794 |\n| CL-SCL | 0.780 | 0.772 | 0.739 | 0.763 |","| NLP&CC2013(Best) | 0.785 | 0.777 | 0.751 | 0.771 |\n| --- | --- | --- | --- | --- |\n| NTD(Best) | 0.805 | 0.822 | 0.797 | 0.808 |\n| BSWE(Best) | 0.810 | 0.816 | 0.794 | 0.807 |\n| SCL-OM | 0.829 | 0.826 | 0.787 | 0.814 |\n| SCL-OM(Best) | 0.829 | 0.833 | 0.787 | 0.816 |",1]
["| Method | Book | DVD | Music | Average |\n| --- | --- | --- | --- | --- |\n| TrainCHN | 0.544 | 0.583 | 0.607 | 0.671 |\n| TrainENG | 0.776 | 0.759 | 0.738 | 0.728 |\n| Co-Train(Best) | 0.796 | 0.804 | 0.783 | 0.794 |\n| CL-SCL | 0.780 | 0.772 | 0.739 | 0.763 |","| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |\n| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |","| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |\n| --- | --- | --- | --- | --- | --- |\n| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",1]
["| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |\n| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |","| InitializationMethod | FI | VFRatio | VTSFD | VFS | VXB |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 1335052.363 | 11.0305 | 0.9169 | -1113107.01 | 0.1621 |\n| Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |\n| K-Means++ | 1190498.537 | 10.7359 | 0.9148 | -987617.57 | 0.2388 |\n| K-Means++×10 | 1335046.425 | 11.0304 | 0.9148 | -1113101.04 | 0.1621 |\n| MaxMinLinear | 1335357.554 | 11.0332 | 0.9169 | -1113412.13 | 0.1611 |",0]
["| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |","| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |\n| --- | --- | --- | --- | --- | --- |\n| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |\n| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",1]
["| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |","| Faber | 1335052.363 | 11.0305 | 0.9148 | -1113107.01 | 0.1621 |\n| --- | --- | --- | --- | --- | --- |\n| K-Means++ | 1190498.537 | 10.7359 | 0.9148 | -987617.57 | 0.2388 |\n| K-Means++×10 | 1335046.425 | 11.0304 | 0.9148 | -1113101.04 | 0.1621 |\n| MaxMinLinear | 1335357.554 | 11.0332 | 0.9169 | -1113412.13 | 0.1611 |",0]
["| GoogleNexus7 | 50000Additions |\n| --- | --- |\n| n=200 | 688 |\n| 2000 | 633 |\n| 4000 | 679 |","| 6000 | 770 |\n| --- | --- |\n| 8000 | 743 |\n| 10000 | 763 |",1]
["| GoogleNexus7 | 50000Additions |\n| --- | --- |\n| n=200 | 688 |\n| 2000 | 633 |\n| 4000 | 679 |","| 32 | 128 | 512 |\n| --- | --- | --- |\n| 32 | 128 | 512 |\n| 288 | 1152 | 4608 |\n| 800 | 3200 | 12800 |\n| 1568 | 6272 | 25088 |",0]
["| GoogleNexus7 | 50000Additions |\n| --- | --- |\n| n=200 | 688 |\n| 2000 | 633 |","| 4000 | 679 |\n| --- | --- |\n| 6000 | 770 |\n| 8000 | 743 |\n| 10000 | 763 |",1]
["| GoogleNexus7 | 50000Additions |\n| --- | --- |\n| n=200 | 688 |\n| 2000 | 633 |","| 288 | 1152 | 4608 |\n| --- | --- | --- |\n| 800 | 3200 | 12800 |\n| 1568 | 6272 | 25088 |",0]
["| Layer | Filter/Stride | Outputsize |\n| --- | --- | --- |\n| Input | – | 1×51×51 |\n| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |\n| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |","| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |\n| --- | --- | --- |\n| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 |",1]
["| Layer | Filter/Stride | Outputsize |\n| --- | --- | --- |\n| Input | – | 1×51×51 |\n| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |\n| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |","| Layer | Input/FilterDimensions |  |\n| --- | --- | --- |\n| Input | 512×512×1 | 512×512×1 |\n| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |\n| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |\n| Conv3<br>MaxPooling | 64×3×3<br>2×2 |  |\n| Conv4<br>MaxPooling | 64×3×3<br>2×2 |  |\n| FC1 | 2048 |  |\n| FC2 | 1024 |  |",0]
["| Layer | Filter/Stride | Outputsize |\n| --- | --- | --- |\n| Input | – | 1×51×51 |\n| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |","| Conv3<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 128×10×10<br>128×10×10<br>128×5×5 |\n| --- | --- | --- |\n| Conv4<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 256×3×3<br>256×3×3<br>256×2×2 |\n| Conv5<br>BatchNormalization | 2×2/1<br>– | 512×1×1<br>512×1×1 |",1]
["| Layer | Filter/Stride | Outputsize |\n| --- | --- | --- |\n| Input | – | 1×51×51 |\n| Conv1<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 32×49×49<br>32×49×49<br>32×25×25 |\n| Conv2<br>BatchNormalization<br>MaxPool | 3×3/1<br>–<br>2×2/2 | 64×23×23<br>64×23×23<br>64×12×12 |","| Conv4<br>MaxPooling | 64×3×3<br>2×2 |\n| --- | --- |\n| FC1 | 2048 |\n| FC2 | 1024 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |","| MicrosoftSQLServer | 530.1 | 5516.20 | 51075.7 |\n| --- | --- | --- | --- |\n| MySQL | 757.1 | 7326.4 | 76705.7 |\n| PostgreSQL | 80.9 | 798.7 | 10476.7 |\n| MongoDB | 54.9 | 533.8 | 5282.5 |\n| CouchDB | 1,39 | 19,7 | 141,95 |\n| Couchbase | 77,5 | 783,67 | 9188,13 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |","| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 1000 | 3000 | 28000 |\n| MySQL | 2438.5 | 25465.1 | 286934.4 |\n| PostgreSQL | 111.2 | 1191.3 | 13429.1 |\n| MongoDB | 86.7 | 914 | 19532.3 |\n| CouchDB | 2.47 | 22.25 | 215.55 |\n| Couchbase | 77.59 | 783.67 | 9188.13 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 530.1 | 5516.20 | 51075.7 |\n| MySQL | 757.1 | 7326.4 | 76705.7 |","| PostgreSQL | 80.9 | 798.7 | 10476.7 |\n| --- | --- | --- | --- |\n| MongoDB | 54.9 | 533.8 | 5282.5 |\n| CouchDB | 1,39 | 19,7 | 141,95 |\n| Couchbase | 77,5 | 783,67 | 9188,13 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 530.1 | 5516.20 | 51075.7 |\n| MySQL | 757.1 | 7326.4 | 76705.7 |","| MicrosoftSQLServer | 1000 | 3000 | 28000 |\n| --- | --- | --- | --- |\n| MySQL | 2438.5 | 25465.1 | 286934.4 |\n| PostgreSQL | 111.2 | 1191.3 | 13429.1 |\n| MongoDB | 86.7 | 914 | 19532.3 |\n| CouchDB | 2.47 | 22.25 | 215.55 |\n| Couchbase | 77.59 | 783.67 | 9188.13 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |\n| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |","| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |\n| --- | --- | --- |\n| 114.7417 | 115.4359±1.4381 | 115.0131±1.7569 |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",1]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |\n| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |","| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |\n| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |\n| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",0]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |\n| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |\n| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |","| 114.7417 | 115.4359±1.4381 | 115.0131±1.7569 |\n| --- | --- | --- |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",1]
["| Sinusoidal | Erlang-2 | Exp |\n| --- | --- | --- |\n| 561.1667 | 561.2562±0.1661 | 561.0864±0.1657 |\n| 123.5017 | 507.2604±8.1048 | 633.0925±12.8482 |\n| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |","| 8.76 | 391.8281±7.1364 | 518.0794±11.4349 |\n| --- | --- | --- |\n| 123.5017 | 274.2851±4.3093 | 337.0227±6.8391 |",0]
["| #ofConv | #pooling | Interpolation | P@1( |\n| --- | --- | --- | --- |\n| 3 | 3 | no | 66.01 |\n| 3 | 3 | spline | 80.19 |\n| 3 | 3 | linear | 80.29 |\n| 4 | 4 | no | 67.21 |\n| 4 | 4 | spline | 81.01 |\n| 4 | 4 | linear | 81.65 |\n| 5 | 3 | no | 67.05 |","| 5 | 3 | spline | 80.78 |\n| --- | --- | --- | --- |\n| 5 | 3 | linear | 81.52 |",1]
["| #ofConv | #pooling | Interpolation | P@1( |\n| --- | --- | --- | --- |\n| 3 | 3 | no | 66.01 |\n| 3 | 3 | spline | 80.19 |\n| 3 | 3 | linear | 80.29 |\n| 4 | 4 | no | 67.21 |\n| 4 | 4 | spline | 81.01 |\n| 4 | 4 | linear | 81.65 |\n| 5 | 3 | no | 67.05 |","| nc | nf | JV | ALG1 | ALG2 |\n| --- | --- | --- | --- | --- |\n| 50 | 16 | 1.0642 | 1.0156 | 1.0 |\n| 50 | 16 | 1.127 | 1.0363 | 1.0 |\n| 50 | 16 | 1.1968 | 1.0258 | 1.0 |\n| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |\n| 50 | 25 | 1.1167 | 1.006 | 1.0028 |\n| 50 | 25 | 1.2206 | 1.0393 | 1.0 |\n| 50 | 25 | 1.3246 | 1.0277 | 1.0 |\n| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |\n| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |\n| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |\n| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |\n| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |\n| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |\n| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |\n| 1000 | 100 | 1.0055 | 1.0101 | 1.0 |",0]
["| #ofConv | #pooling | Interpolation | P@1( |\n| --- | --- | --- | --- |\n| 3 | 3 | no | 66.01 |","| 3 | 3 | spline | 80.19 |\n| --- | --- | --- | --- |\n| 3 | 3 | linear | 80.29 |\n| 4 | 4 | no | 67.21 |\n| 4 | 4 | spline | 81.01 |\n| 4 | 4 | linear | 81.65 |\n| 5 | 3 | no | 67.05 |\n| 5 | 3 | spline | 80.78 |\n| 5 | 3 | linear | 81.52 |",1]
["| #ofConv | #pooling | Interpolation | P@1( |\n| --- | --- | --- | --- |\n| 3 | 3 | no | 66.01 |","| 50 | 16 | 1.2649 | 1.0258 | 1.0022 |\n| --- | --- | --- | --- | --- |\n| 50 | 25 | 1.1167 | 1.006 | 1.0028 |\n| 50 | 25 | 1.2206 | 1.0393 | 1.0 |\n| 50 | 25 | 1.3246 | 1.0277 | 1.0 |\n| 50 | 25 | 1.4535 | 1.0318 | 1.0049 |\n| 50 | 50 | 1.3566 | 1.0101 | 1.0017 |\n| 50 | 50 | 1.5762 | 1.0348 | 1.0061 |\n| 50 | 50 | 1.7648 | 1.0378 | 1.0022 |\n| 50 | 50 | 2.0543 | 1.0494 | 1.0075 |\n| 1000 | 100 | 1.0453 | 1.0542 | 1.0023 |\n| 1000 | 100 | 1.0155 | 1.0226 | 1.0 |\n| 1000 | 100 | 1.0055 | 1.0101 | 1.0 |",0]
["| Algorithm | RP | URP | RLS | URLS | RG | URG |\n| --- | --- | --- | --- | --- | --- | --- |\n| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 |\n| COMfunction | 43.85 | 7.01 | 194.52 | 6.91 | 366.43 | 7.16 |","| half-productsfunction | 0.35 | 0.22 | 0.98 | 0.52 | 9.96 | 4.59 |\n| --- | --- | --- | --- | --- | --- | --- |\n| linearlyperturbedfunction | 1.37 | 0.06 | 3.12 | 0.06 | 15.92 | 0.06 |",1]
["| Algorithm | RP | URP | RLS | URLS | RG | URG |\n| --- | --- | --- | --- | --- | --- | --- |\n| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 |\n| COMfunction | 43.85 | 7.01 | 194.52 | 6.91 | 366.43 | 7.16 |","| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Algorithm | RP | URP | RLS | URLS | RG | URG |\n| --- | --- | --- | --- | --- | --- | --- |\n| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 |","| COMfunction | 43.85 | 7.01 | 194.52 | 6.91 | 366.43 | 7.16 |\n| --- | --- | --- | --- | --- | --- | --- |\n| half-productsfunction | 0.35 | 0.22 | 0.98 | 0.52 | 9.96 | 4.59 |\n| linearlyperturbedfunction | 1.37 | 0.06 | 3.12 | 0.06 | 15.92 | 0.06 |",1]
["| Algorithm | RP | URP | RLS | URLS | RG | URG |\n| --- | --- | --- | --- | --- | --- | --- |\n| Iwata’sfunction | 96.18 | 2.42 | 240.62 | 2.47 | 194.30 | 2.41 |","| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| david | 113 | 52 | 0.984 | 0.19 |\n| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |\n| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |\n| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |\n| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |\n| games120 | 8088 | 96920 | 121.047 | 429.02 |\n| miles500 | 145 | 318 | 7.156 | 2.11 |\n| miles750 | 938 | 369 | 62.797 | 9.83 |\n| miles1000 | 168 | 65 | 19.062 | 13.62 |\n| myciel3 | 0 | 19 | 0.000 | 0.00 |\n| myciel4 | 37 | 48 | 0.109 | 0.03 |\n| myciel5 | 290 | 169 | 0.828 | 0.28 |\n| myciel6 | 551 | 458 | 12.094 | 5.14 |\n| myciel7 | 14737 | 2441 | 880.875 | 160.59 |","| queen66 | 0 | 81 | 0.016 | 1.42 |\n| --- | --- | --- | --- | --- |\n| queen77 | 0 | 263 | 0.063 | 7.78 |\n| queen88 | 0 | 3533 | 0.031 | 42.44 |\n| queen812 | 3175 | 162911 | 77.297 | (1800)(cid:63) |\n| queen99 | 959 | 291471 | 14.375 | 1067.5 |\n| queen1010 | 5412 | 126778 | 105.765 | (1800)(cid:63) |\n| queen1111 | 13410 | 55220 | 456.781 | (1800)(cid:63) |\n| queen1212 | 24635 | 25897 | 1245.080 | (1800)(cid:63) |\n| moyenne | 9751 | 49339 | 229.223 | 634.97 |",1]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| david | 113 | 52 | 0.984 | 0.19 |\n| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |\n| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |\n| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |\n| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |\n| games120 | 8088 | 96920 | 121.047 | 429.02 |\n| miles500 | 145 | 318 | 7.156 | 2.11 |\n| miles750 | 938 | 369 | 62.797 | 9.83 |\n| miles1000 | 168 | 65 | 19.062 | 13.62 |\n| myciel3 | 0 | 19 | 0.000 | 0.00 |\n| myciel4 | 37 | 48 | 0.109 | 0.03 |\n| myciel5 | 290 | 169 | 0.828 | 0.28 |\n| myciel6 | 551 | 458 | 12.094 | 5.14 |\n| myciel7 | 14737 | 2441 | 880.875 | 160.59 |","| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| L125.ash608 | 142 | 82 | 2.375 | 0.50 |\n| L125.will199 | 135 | 119 | 2.562 | 0.35 |\n| L125.west0167 | 69 | 73 | 1.906 | 0.22 |\n| ash331 | 183 | 212 | 2.812 | 0.82 |\n| west0132 | 105 | 85 | 4.297 | 0.42 |\n| rw136 | 1635 | 17386 | 28.875 | 57.57 |\n| bcspwr03 | 99 | 73 | 2.422 | 0.38 |\n| gre115 | 5573 | 6659 | 82.812 | 28.77 |\n| L125.dw162 | 469 | 214 | 8.360 | 1.15 |\n| L125.can187 | 786 | 5353 | 16.984 | 23.22 |\n| L125.gre185 | 1300 | 2337 | 30.578 | 31.40 |\n| L125.can161 | 15063 | 218627 | 580.797 | (1800)(cid:63) |\n| L125.lop163 | 308 | 6319 | 16.031 | 33.22 |\n| can144 | 1362 | 64203 | 31.250 | 443.49 |\n| lunda | 385 | 2705 | 45.891 | 155.29 |\n| L125.bcsstk05 | 331 | 2301 | 30.812 | 54.29 |\n| L125.dwt193 | 259 | 129 | 29.719 | 73.74 |\n| L125.fs1831 | 240 | 1175 | 35.016 | 36.21 |\n| bcsstk04 | 600 | 89 | 26.796 | 80.01 |\n| arc130 | 268 | 129 | 99.328 | 137.42 |\n| moyenne | 1466 | 16414 | 53.981 | 147.92 |",0]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| david | 113 | 52 | 0.984 | 0.19 |\n| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |\n| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |\n| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |\n| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |\n| games120 | 8088 | 96920 | 121.047 | 429.02 |\n| miles500 | 145 | 318 | 7.156 | 2.11 |\n| miles750 | 938 | 369 | 62.797 | 9.83 |\n| miles1000 | 168 | 65 | 19.062 | 13.62 |\n| myciel3 | 0 | 19 | 0.000 | 0.00 |\n| myciel4 | 37 | 48 | 0.109 | 0.03 |\n| myciel5 | 290 | 169 | 0.828 | 0.28 |\n| myciel6 | 551 | 458 | 12.094 | 5.14 |\n| myciel7 | 14737 | 2441 | 880.875 | 160.59 |\n| queen66 | 0 | 81 | 0.016 | 1.42 |\n| queen77 | 0 | 263 | 0.063 | 7.78 |\n| queen88 | 0 | 3533 | 0.031 | 42.44 |\n| queen812 | 3175 | 162911 | 77.297 | (1800)(cid:63) |\n| queen99 | 959 | 291471 | 14.375 | 1067.5 |\n| queen1010 | 5412 | 126778 | 105.765 | (1800)(cid:63) |","| queen1111 | 13410 | 55220 | 456.781 | (1800)(cid:63) |\n| --- | --- | --- | --- | --- |\n| queen1212 | 24635 | 25897 | 1245.080 | (1800)(cid:63) |\n| moyenne | 9751 | 49339 | 229.223 | 634.97 |",1]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| david | 113 | 52 | 0.984 | 0.19 |\n| DSJC125.1 | 132000 | 218098 | (1800) | (1800)(cid:63) |\n| DSJC125.1 | 523328 | 218098 | 9783.080 | (1800)(cid:63) |\n| DSJC125.5 | 120 | 16768 | 8.610 | (1800) |\n| DSJC125.9 | 0 | 34241 | 0.703 | 794.36 |\n| games120 | 8088 | 96920 | 121.047 | 429.02 |\n| miles500 | 145 | 318 | 7.156 | 2.11 |\n| miles750 | 938 | 369 | 62.797 | 9.83 |\n| miles1000 | 168 | 65 | 19.062 | 13.62 |\n| myciel3 | 0 | 19 | 0.000 | 0.00 |\n| myciel4 | 37 | 48 | 0.109 | 0.03 |\n| myciel5 | 290 | 169 | 0.828 | 0.28 |\n| myciel6 | 551 | 458 | 12.094 | 5.14 |\n| myciel7 | 14737 | 2441 | 880.875 | 160.59 |\n| queen66 | 0 | 81 | 0.016 | 1.42 |\n| queen77 | 0 | 263 | 0.063 | 7.78 |\n| queen88 | 0 | 3533 | 0.031 | 42.44 |\n| queen812 | 3175 | 162911 | 77.297 | (1800)(cid:63) |\n| queen99 | 959 | 291471 | 14.375 | 1067.5 |\n| queen1010 | 5412 | 126778 | 105.765 | (1800)(cid:63) |","| bcsstk04 | 600 | 89 | 26.796 | 80.01 |\n| --- | --- | --- | --- | --- |\n| arc130 | 268 | 129 | 99.328 | 137.42 |\n| moyenne | 1466 | 16414 | 53.981 | 147.92 |",0]
["| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |\n| --- | --- | --- | --- | --- | --- |\n| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |\n| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 |","| 50×20 | 4,38 | 7,27 | 9,06 | 9,64 | 10,17 |\n| --- | --- | --- | --- | --- | --- |\n| 20×20 | 4,43 | 7,35 | 9,22 | 10,04 | 10,85 |",1]
["| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |\n| --- | --- | --- | --- | --- | --- |\n| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |\n| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |\n| --- | --- | --- | --- | --- | --- |\n| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |\n| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 |","| 50×20 | 4,38 | 7,27 | 9,06 | 9,64 | 10,17 |\n| --- | --- | --- | --- | --- | --- |\n| 20×20 | 4,43 | 7,35 | 9,22 | 10,04 | 10,85 |",1]
["| NumberofB&BThreads<br>TheoreticalPeakofGFLOPS | 3<br>230.4 | 5<br>384 | 7<br>537.6 | 9<br>691.2 | 11<br>844.8 |\n| --- | --- | --- | --- | --- | --- |\n| 200×20 | 4,03 | 6,98 | 8,76 | 9,04 | 9,32 |\n| 100×20 | 4,27 | 7,08 | 8,82 | 9,39 | 9,85 |","| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| BorrowerCountry | LenderCountry |\n| --- | --- |\n| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) |","| NV.AGR.TOTL.KD | PersistencetoLastGradePrimaryEducation(SE.PRM.PRSL.ZS) |\n| --- | --- |\n| IT.CEL.SETS | HighYouthLiteracyRates(SE.ADT.1524.LT.ZS) |\n| NV.IND.MANF.ZS | HighMilitaryExpenditure(MS.MIL.XPND.GD.ZS) |\n| SH.TBS.INCD | LowPrevalenceofoverweightchildren(SH.STA.OWGH.ZS) |",1]
["| BorrowerCountry | LenderCountry |\n| --- | --- |\n| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) |","| Symbol | Deﬁnition |\n| --- | --- |\n| N | amountofrequestsattimeslott |\n| M | numberofresourcetypes |\n|  |  |\n| C | currentavailaberesourceC={c,c,...,c}12M |\n| W | totalresourcesW={w,w,...,w}12M |\n| L | prioritylevel |\n| K | amountofacceptedrequestedattimeslot |\n| α | constantbasicpricevalue |\n| β | inﬂuencefactorofpriority |",0]
["| BorrowerCountry | LenderCountry |\n| --- | --- |\n| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) |\n| NV.AGR.TOTL.KD | PersistencetoLastGradePrimaryEducation(SE.PRM.PRSL.ZS) |\n| IT.CEL.SETS | HighYouthLiteracyRates(SE.ADT.1524.LT.ZS) |","| NV.IND.MANF.ZS | HighMilitaryExpenditure(MS.MIL.XPND.GD.ZS) |\n| --- | --- |\n| SH.TBS.INCD | LowPrevalenceofoverweightchildren(SH.STA.OWGH.ZS) |",1]
["| BorrowerCountry | LenderCountry |\n| --- | --- |\n| EN.URB.LCTY.UR.ZS | LowAverageInterestsonExternalDebt(DT.INR.OFFT) |\n| NV.AGR.TOTL.KD | PersistencetoLastGradePrimaryEducation(SE.PRM.PRSL.ZS) |\n| IT.CEL.SETS | HighYouthLiteracyRates(SE.ADT.1524.LT.ZS) |","| K | amountofacceptedrequestedattimeslot |\n| --- | --- |\n| α | constantbasicpricevalue |\n| β | inﬂuencefactorofpriority |",0]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |","| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",1]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |","| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",0]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |","| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| --- | --- | --- | --- | --- | --- | --- |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",1]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |","| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",0]
["| Parameter | Value |\n| --- | --- |\n| CPU | IntelXeonX5570 |\n| GPU | NVIDIATeslaC2050/C2070 |","| OperatingSystem | CentOSX8664 |\n| --- | --- |\n| CUDAToolkit | 5.1 |\n| GCC | 4.4 |\n| CPUcodescompilation | -O3option |\n| ﬂoatpointnumberprecision | double |",1]
["| Parameter | Value |\n| --- | --- |\n| CPU | IntelXeonX5570 |\n| GPU | NVIDIATeslaC2050/C2070 |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| Parameter | Value |\n| --- | --- |\n| CPU | IntelXeonX5570 |","| GPU | NVIDIATeslaC2050/C2070 |\n| --- | --- |\n| OperatingSystem | CentOSX8664 |\n| CUDAToolkit | 5.1 |\n| GCC | 4.4 |\n| CPUcodescompilation | -O3option |\n| ﬂoatpointnumberprecision | double |",1]
["| Parameter | Value |\n| --- | --- |\n| CPU | IntelXeonX5570 |","| SMsandSPs | 13and192 |\n| --- | --- |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| Methods | PSNRs |\n| --- | --- |\n| NormalizedConvolution | 16.05 |","| CNNs-basedInpaiting | 30.52 |\n| --- | --- |\n| PatchMatchbasedCompletion | 24.81 |\n| Ours | 41.21 |",1]
["| Methods | PSNRs |\n| --- | --- |\n| NormalizedConvolution | 16.05 |","| Method | Accuracy |\n| --- | --- |\n| DAG-CNN | 77.5 |\n| DeepSpatialPyramid | 78.3 |\n| B-CNN | 79.0 |\n| FV-CNN | 79.2 |\n| SPLeap | 73.5 |\n| StandardVGG16 | 69.6 |\n| StandardVGG16FT | 76.4 |\n| Multi-ScaleNetwork | 79.0 |\n| OurApproach | 81.9 |\n| OurApproach+StandardVGG16 | 83.1 |",0]
["| Methods | PSNRs |\n| --- | --- |\n| NormalizedConvolution | 16.05 |\n| CNNs-basedInpaiting | 30.52 |","| PatchMatchbasedCompletion | 24.81 |\n| --- | --- |\n| Ours | 41.21 |",1]
["| Methods | PSNRs |\n| --- | --- |\n| NormalizedConvolution | 16.05 |\n| CNNs-basedInpaiting | 30.52 |","| StandardVGG16FT | 76.4 |\n| --- | --- |\n| Multi-ScaleNetwork | 79.0 |\n| OurApproach | 81.9 |\n| OurApproach+StandardVGG16 | 83.1 |",0]
["| Frome<br>Norouzi<br>Changpinyo |\n| --- |\n| Ours. |\n| Frome<br>Norouzi |","| Ours. |\n| --- |\n| Frome<br>Norouzi<br>Changpinyo |\n| Ours. |\n| Frome<br>Norouzi |\n| Ours. |\n| Frome<br>Norouzi<br>Changpinyo |\n| Ours. |\n| Frome<br>Norouzi |",1]
["| Frome<br>Norouzi<br>Changpinyo |\n| --- |\n| Ours. |\n| Frome<br>Norouzi |","| Token | Language |\n| --- | --- |\n| bhai | hi |\n| triple | en |\n| talaq | hi |\n| se | hi |\n| aap | hi |\n| kya | hi |\n| samjhte | hi |\n| hai | hi |\n| samjhaye | hi |\n| aap | hi |\n| zara | hi |\n| .. | rest |\n| agar | hi |\n| triple | en |\n| talaq | hi |\n| pta | hi |\n| hota | hi |\n| apko | hi |\n| toh | hi |\n| aisa | hi |\n| nhi | en |\n| kehte | hi |\n| .. | rest |",0]
["| Frome<br>Norouzi<br>Changpinyo |\n| --- |\n| Ours. |\n| Frome<br>Norouzi |","| Ours. |\n| --- |\n| Frome<br>Norouzi<br>Changpinyo |\n| Ours. |\n| Frome<br>Norouzi |\n| Ours. |\n| Frome<br>Norouzi<br>Changpinyo |\n| Ours. |\n| Frome<br>Norouzi |",1]
["| Frome<br>Norouzi<br>Changpinyo |\n| --- |\n| Ours. |\n| Frome<br>Norouzi |","| samjhte | hi |\n| --- | --- |\n| hai | hi |\n| samjhaye | hi |\n| aap | hi |\n| zara | hi |\n| .. | rest |\n| agar | hi |\n| triple | en |\n| talaq | hi |\n| pta | hi |\n| hota | hi |\n| apko | hi |\n| toh | hi |\n| aisa | hi |\n| nhi | en |\n| kehte | hi |\n| .. | rest |",0]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 |","| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 | 48.4<br>69.4 |\n| --- | --- | --- | --- |\n| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 89.9090.89<br>90.9290.16<br>90.9490.21<br>90.9490.70 | 90.4090.39<br>90.5490.54<br>90.5790.57<br>90.8290.82 | 36.7<br>37.8<br>38.0<br>39.1 |\n| ConstituentVoting<br>Na¨ıveBayes<br>AlignmentandConsensus | 89.7891.80<br>92.4290.10<br>95.7082.82 | 90.7990.78<br>91.2691.25<br>89.2688.80 | 33.5<br>37.9<br>25.7 |",1]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 |","| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 87.6187.83<br>89.6189.73 | 87.7287.72<br>89.6789.67 | 31.6<br>35.4 |\n| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.7893.87<br>100.0095.91 | 93.8293.82<br>97.9597.91 | 48.3<br>65.6 |\n| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 90.0490.81<br>90.7290.47<br>90.7090.47<br>90.7890.70 | 90.4390.43<br>90.6090.60<br>90.5990.59<br>90.7490.74 | 36.6<br>38.4<br>38.4<br>38.8 |\n| ConstituentVoting<br>AlignmentandConsensus<br>Na¨ıveBayes | 92.4290.10<br>92.4390.08<br>92.4290.10 | 91.2691.25<br>91.2691.24<br>91.2691.25 | 37.9<br>37.9<br>37.9 |",0]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 |","| ParserSwitchOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 | 48.4<br>69.4 |\n| --- | --- | --- | --- |\n| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 89.9090.89<br>90.9290.16<br>90.9490.21<br>90.9490.70 | 90.4090.39<br>90.5490.54<br>90.5790.57<br>90.8290.82 | 36.7<br>37.8<br>38.0<br>39.1 |\n| ConstituentVoting<br>Na¨ıveBayes<br>AlignmentandConsensus | 89.7891.80<br>92.4290.10<br>95.7082.82 | 90.7990.78<br>91.2691.25<br>89.2688.80 | 33.5<br>37.9<br>25.7 |",1]
["| Reference/System | PR | (P+R)/2F | Exact |\n| --- | --- | --- | --- |\n| AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | 24.6<br>35.4 |","| SimilaritySwitching<br>DistanceSwitching<br>AlignmentSwitching<br>BayesSwitching | 90.0490.81<br>90.7290.47<br>90.7090.47<br>90.7890.70 | 90.4390.43<br>90.6090.60<br>90.5990.59<br>90.7490.74 | 36.6<br>38.4<br>38.4<br>38.8 |\n| --- | --- | --- | --- |\n| ConstituentVoting<br>AlignmentandConsensus<br>Na¨ıveBayes | 92.4290.10<br>92.4390.08<br>92.4290.10 | 91.2691.25<br>91.2691.24<br>91.2691.25 | 37.9<br>37.9<br>37.9 |",0]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 1.3B | 9.9B | 4.2B |\n| sd1 | 4.52B | 52.7B | 19.4B |\n| twitter | 3.43B | 34.2B | 16.3B |","| pld | 1.66B | 16.7B | 6.9B |\n| --- | --- | --- | --- |\n| friendster | 7.57B | 38.7B | - |\n| soclj | 0.17B | 1.17B | 2.1B |",1]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 1.3B | 9.9B | 4.2B |\n| sd1 | 4.52B | 52.7B | 19.4B |\n| twitter | 3.43B | 34.2B | 16.3B |","| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 0.81B | 0.78B | 1.4B |\n| sd1 | 4.16B | 5.5B | 7.86B |\n| twitter | 1.56B | 2.34B | 3.36B |\n| pld | 1.17B | 1.31B | 2.47B |\n| friendster | 3.7B | 6.1B | - |\n| soclj | 0.75B | 0.36B | 0.1B |",0]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 1.3B | 9.9B | 4.2B |\n| sd1 | 4.52B | 52.7B | 19.4B |\n| twitter | 3.43B | 34.2B | 16.3B |\n| pld | 1.66B | 16.7B | 6.9B |","| friendster | 7.57B | 38.7B | - |\n| --- | --- | --- | --- |\n| soclj | 0.17B | 1.17B | 2.1B |",1]
["| Datasets | GPOP | Ligra | GraphMat |\n| --- | --- | --- | --- |\n| gplus | 1.3B | 9.9B | 4.2B |\n| sd1 | 4.52B | 52.7B | 19.4B |\n| twitter | 3.43B | 34.2B | 16.3B |\n| pld | 1.66B | 16.7B | 6.9B |","| friendster | 3.7B | 6.1B | - |\n| --- | --- | --- | --- |\n| soclj | 0.75B | 0.36B | 0.1B |",0]
["| word1 | word2 | similarities(cosine-dist) | remark |\n| --- | --- | --- | --- |\n| dilantin | tegretol | 0.75135758 | drug-drug |\n| phenytoin | dilantin | 0.62360351 | drug-drug |\n| phenytoin | tegretol | 0.51322415 | drug-drug |","| cholestyramine | dilantin | 0.24557819 | drug-drug |\n| --- | --- | --- | --- |\n| cholestyramine | phenytoin | 0.23701277 | drug-drug |\n| administration | patients | 0.20459694 | non-drug-non-drug |\n| tegretol | may | 0.11605539 | drug-non-drug |\n| cholestyramine | patients | 0.08827197 | drug-non-drug |\n| evaluated | end | 0.07379115 | non-drug-non-drug |\n| within | controlled | 0.06111103 | non-drug-non-drug |\n| cholestyramine | evaluated | 0.04024139 | drug-non-drug |\n| dilantin | end | 0.02234770 | drug-non-drug |",1]
["| word1 | word2 | similarities(cosine-dist) | remark |\n| --- | --- | --- | --- |\n| dilantin | tegretol | 0.75135758 | drug-drug |\n| phenytoin | dilantin | 0.62360351 | drug-drug |\n| phenytoin | tegretol | 0.51322415 | drug-drug |","| Word1 | Word2 | Similarity |\n| --- | --- | --- |\n| large | NEGEXenlarged | -0.245 |\n| hemorrhage | NEGEXQUALhemorrhage | -0.074 |\n| hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |\n| infarction | NEGEXQUALinfarction | -0.070 |\n| largeterritoryinfarction | NEGEXQUALlargeterritoryinfarction | -0.157 |\n| midlineshift | NEGEXQUALmidlineshift | -0.206 |\n| abnormalities | NEGEXQUALabnormalities | -0.283 |\n| masseﬀect | NEGEXQUALmasseﬀect | -0.170 |",0]
["| word1 | word2 | similarities(cosine-dist) | remark |\n| --- | --- | --- | --- |\n| dilantin | tegretol | 0.75135758 | drug-drug |\n| phenytoin | dilantin | 0.62360351 | drug-drug |\n| phenytoin | tegretol | 0.51322415 | drug-drug |\n| cholestyramine | dilantin | 0.24557819 | drug-drug |\n| cholestyramine | phenytoin | 0.23701277 | drug-drug |","| administration | patients | 0.20459694 | non-drug-non-drug |\n| --- | --- | --- | --- |\n| tegretol | may | 0.11605539 | drug-non-drug |\n| cholestyramine | patients | 0.08827197 | drug-non-drug |\n| evaluated | end | 0.07379115 | non-drug-non-drug |\n| within | controlled | 0.06111103 | non-drug-non-drug |\n| cholestyramine | evaluated | 0.04024139 | drug-non-drug |\n| dilantin | end | 0.02234770 | drug-non-drug |",1]
["| word1 | word2 | similarities(cosine-dist) | remark |\n| --- | --- | --- | --- |\n| dilantin | tegretol | 0.75135758 | drug-drug |\n| phenytoin | dilantin | 0.62360351 | drug-drug |\n| phenytoin | tegretol | 0.51322415 | drug-drug |\n| cholestyramine | dilantin | 0.24557819 | drug-drug |\n| cholestyramine | phenytoin | 0.23701277 | drug-drug |","| hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |\n| --- | --- | --- |\n| infarction | NEGEXQUALinfarction | -0.070 |\n| largeterritoryinfarction | NEGEXQUALlargeterritoryinfarction | -0.157 |\n| midlineshift | NEGEXQUALmidlineshift | -0.206 |\n| abnormalities | NEGEXQUALabnormalities | -0.283 |\n| masseﬀect | NEGEXQUALmasseﬀect | -0.170 |",0]
["| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |\n| --- | --- |\n| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |\n| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 |","| DRAMController | Readbuﬀer:64,writebuﬀer:64,open-adaptivepagepolicy |\n| --- | --- |\n| DRAMmodule | LPDDR2@533MHz,1rank,8banks |",1]
["| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |\n| --- | --- |\n| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |\n| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 |","| SystemConﬁguration |  |\n| --- | --- |\n| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |\n| MemorySubsystem |  |\n| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |\n| 2-DMeshwithXYRouting |  |\n| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits |",0]
["| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |\n| --- | --- |\n| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |\n| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 |","| DRAMController | Readbuﬀer:64,writebuﬀer:64,open-adaptivepagepolicy |\n| --- | --- |\n| DRAMmodule | LPDDR2@533MHz,1rank,8banks |",1]
["| Core | Quad-core,out-of-order,2GHz,IQ:96,ROB:128,LSQ:48/48 |\n| --- | --- |\n| L1-I/Dcaches | Private16/16KiB(2-way),MSHRs:2(I)/6(D) |\n| L2cache | Shared2MiB(16-way),LRU,MSHRs:56,hitlatency:12 |","| MemorySubsystem |  |\n| --- | --- |\n| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |\n| 2-DMeshwithXYRouting |  |\n| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits |",0]
["|  | Sums | Mult | Memory |\n| --- | --- | --- | --- |\n| TWM | 99 | 9 | 54 |","| WTWM | 40.25 | 22.75 | 22.75 |\n| --- | --- | --- | --- |\n| FDS | 54 | 9 | 18 |\n| WFDS | 17.5 | 8.75 | 7 |",1]
["|  | Sums | Mult | Memory |\n| --- | --- | --- | --- |\n| TWM | 99 | 9 | 54 |","|  | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |\n| --- | --- | --- | --- | --- |\n| (×10)Sum | 4 | 28 | 99 | 421 |\n| Memory(GB) | 6 | 45 | 160 | 679 |\n| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |\n| (×10)StdDev | 5 | 44 | 14 | 30 |\n| (×10)Median | 8 | 20 | 13 | 22 |\n| (×10)Maximum | 36 | 405 | 138 | 410 |\n| Minimum | 967 | 438 | 287 | 358 |",0]
["|  | Sums | Mult | Memory |\n| --- | --- | --- | --- |\n| TWM | 99 | 9 | 54 |\n| WTWM | 40.25 | 22.75 | 22.75 |","| FDS | 54 | 9 | 18 |\n| --- | --- | --- | --- |\n| WFDS | 17.5 | 8.75 | 7 |",1]
["|  | Sums | Mult | Memory |\n| --- | --- | --- | --- |\n| TWM | 99 | 9 | 54 |\n| WTWM | 40.25 | 22.75 | 22.75 |","| (×10)StdDev | 5 | 44 | 14 | 30 |\n| --- | --- | --- | --- | --- |\n| (×10)Median | 8 | 20 | 13 | 22 |\n| (×10)Maximum | 36 | 405 | 138 | 410 |\n| Minimum | 967 | 438 | 287 | 358 |",0]
["| NumberofNodes | AverageError | StandardDeviation |\n| --- | --- | --- |\n| 100000 | 335.02 | 1833.64 |","| 200000 | 389.63 | 2128.77 |\n| --- | --- | --- |\n| 300000 | 447.87 | 2580.50 |\n| 400000 | 600.52 | 4531.16 |\n| 500000 | 631.58 | 5057.44 |",1]
["| NumberofNodes | AverageError | StandardDeviation |\n| --- | --- | --- |\n| 100000 | 335.02 | 1833.64 |","| NumberofNodes | ConvergenceRate | OptimalGossipWeight |\n| --- | --- | --- |\n| 4 | 0.8 | 0.6 |\n| 5 | 0.6 | 0.7 |\n| 6 | 0.6 | 0.7 |\n| 7 | 0.6 | 0.7 |\n| 8 | 0.4 | 0.8 |\n| 9 | 0.4 | 0.8 |\n| 10 | 0.4 | 0.8 |\n| 11 | 0.4 | 0.8 |\n| 12 | 0.4 | 0.8 |\n| 13 | 0.3034 | 0.8 |\n| 14 | 0.2412 | 0.8 |\n| 15 | 0.2015 | 0.8 |\n| 16 | 0.2 | 0.9 |\n| 17 | 0.2 | 0.9 |\n| 18 | 0.2 | 0.9 |\n| 19 | 0.2 | 0.9 |\n| 20 | 0.2 | 0.9 |",0]
["| NumberofNodes | AverageError | StandardDeviation |\n| --- | --- | --- |\n| 100000 | 335.02 | 1833.64 |\n| 200000 | 389.63 | 2128.77 |","| 300000 | 447.87 | 2580.50 |\n| --- | --- | --- |\n| 400000 | 600.52 | 4531.16 |\n| 500000 | 631.58 | 5057.44 |",1]
["| NumberofNodes | AverageError | StandardDeviation |\n| --- | --- | --- |\n| 100000 | 335.02 | 1833.64 |\n| 200000 | 389.63 | 2128.77 |","| 19 | 0.2 | 0.9 |\n| --- | --- | --- |\n| 20 | 0.2 | 0.9 |",0]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0077 |  |  |  |  |\n| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |\n| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |\n| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |","| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |\n| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |",1]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0077 |  |  |  |  |\n| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |\n| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |\n| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |","| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0 |  |  |  |  |\n| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |\n| Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |\n| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |\n| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |\n| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |\n| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |",0]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0077 |  |  |  |  |\n| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |\n| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |\n| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |\n| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 |","| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |\n| --- | --- | --- | --- | --- | --- |\n| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |",1]
["| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0077 |  |  |  |  |\n| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |\n| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |\n| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |\n| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 |","| Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |\n| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |\n| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |\n| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |",0]
["| Captions | IToC<br>Recall@5Recall@10Recall@50 |\n| --- | --- |\n| English | 0.1180.1900.456 |","| French<br>French<br>French<br>French | 0.0080.0170.069<br>0.0180.0240.085<br>0.0720.1350.335<br>0.1010.1630.414 |\n| --- | --- |\n| German<br>German<br>German<br>German | 0.0050.0090.053<br>0.0090.0130.071<br>0.0630.1050.298<br>0.0840.1630.420 |\n|  | 0.0060.0090.044 |",1]
["| Captions | IToC<br>Recall@5Recall@10Recall@50 |\n| --- | --- |\n| English | 0.1180.1900.456 |","| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",0]
["| Captions | IToC<br>Recall@5Recall@10Recall@50 |\n| --- | --- |\n| English | 0.1180.1900.456 |","| French<br>French<br>French<br>French | 0.0080.0170.069<br>0.0180.0240.085<br>0.0720.1350.335<br>0.1010.1630.414 |\n| --- | --- |\n| German<br>German<br>German<br>German | 0.0050.0090.053<br>0.0090.0130.071<br>0.0630.1050.298<br>0.0840.1630.420 |\n|  | 0.0060.0090.044 |",1]
["| Captions | IToC<br>Recall@5Recall@10Recall@50 |\n| --- | --- |\n| English | 0.1180.1900.456 |","| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",0]
["| SameCategory | All |\n| --- | --- |\n| ValenceArousal | ValenceArousal |","| RMSE | 0.1900.261 | 0.3400.362 |\n| --- | --- | --- |\n| CORR | 0.9510.766 | 0.8230.567 |\n| SAGR | 0.9060.709 | 0.8150.667 |\n| CCC | 0.9510.746 | 0.8210.551 |",1]
["| SameCategory | All |\n| --- | --- |\n| ValenceArousal | ValenceArousal |","| CNN(AlexNet) | SVR |  |\n| --- | --- | --- |\n| ValenceArousal | ValenceArousal |  |\n| RMSE | 0.3940.402 | 0.4940.400 |\n| CORR | 0.6020.539 | 0.4290.360 |\n| SAGR | 0.7280.670 | 0.6190.748 |\n| CCC | 0.5410.450 | 0.3400.199 |",0]
["| SameCategory | All |  |\n| --- | --- | --- |\n| ValenceArousal | ValenceArousal |  |\n| RMSE | 0.1900.261 | 0.3400.362 |","| CORR | 0.9510.766 | 0.8230.567 |\n| --- | --- | --- |\n| SAGR | 0.9060.709 | 0.8150.667 |\n| CCC | 0.9510.746 | 0.8210.551 |",1]
["| SameCategory | All |  |\n| --- | --- | --- |\n| ValenceArousal | ValenceArousal |  |\n| RMSE | 0.1900.261 | 0.3400.362 |","| RMSE | 0.3940.402 | 0.4940.400 |\n| --- | --- | --- |\n| CORR | 0.6020.539 | 0.4290.360 |\n| SAGR | 0.7280.670 | 0.6190.748 |\n| CCC | 0.5410.450 | 0.3400.199 |",0]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.026 | −3<br>10 | 0.50 | 0.1739 |\n| 0.018 | 10 | 0.50 | 0.1301 |","| 0.068 | 10 | 0.75 | 0.3584 |\n| --- | --- | --- | --- |\n| 0.054 | 10 | 0.75 | 0.3032 |",1]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.026 | −3<br>10 | 0.50 | 0.1739 |\n| 0.018 | 10 | 0.50 | 0.1301 |","| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.058 | −3<br>10 | 0.50 | 0.3195 |\n| 0.048 | 10 | 0.50 | 0.2778 |\n| 0.134 | 10 | 0.75 | 0.5710 |\n| 0.126 | 10 | 0.75 | 0.5464 |",0]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.026 | −3<br>10 | 0.50 | 0.1739 |","| 0.018 | 10 | 0.50 | 0.1301 |\n| --- | --- | --- | --- |\n| 0.068 | 10 | 0.75 | 0.3584 |\n| 0.054 | 10 | 0.75 | 0.3032 |",1]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.026 | −3<br>10 | 0.50 | 0.1739 |","| 0.048 | 10 | 0.50 | 0.2778 |\n| --- | --- | --- | --- |\n| 0.134 | 10 | 0.75 | 0.5710 |\n| 0.126 | 10 | 0.75 | 0.5464 |",0]
["|  | VA | Priors | t-link | Graph<br>cuts |\n| --- | --- | --- | --- | --- |\n| CPU | 32.9 | 148.1 | 218.6 | 97.0 |\n| GPU | 22.2 | 1.9 | 109.6 | 69.0 |\n| CPU | 58.8 | 372.8 | 350.8 | 246.5 |\n| GPU | 30.4 | 3.5 | 120.8 | 27.7 |","| CPU | 109.8 | 814.5 | 602.6 | 664.5 |\n| --- | --- | --- | --- | --- |\n| GPU | 45.2 | 6.2 | 142.6 | 232.3 |",1]
["|  | VA | Priors | t-link | Graph<br>cuts |\n| --- | --- | --- | --- | --- |\n| CPU | 32.9 | 148.1 | 218.6 | 97.0 |\n| GPU | 22.2 | 1.9 | 109.6 | 69.0 |\n| CPU | 58.8 | 372.8 | 350.8 | 246.5 |\n| GPU | 30.4 | 3.5 | 120.8 | 27.7 |","| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |\n| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |\n| BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |\n| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |\n| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",0]
["|  | VA | Priors | t-link | Graph<br>cuts |\n| --- | --- | --- | --- | --- |\n| CPU | 32.9 | 148.1 | 218.6 | 97.0 |\n| GPU | 22.2 | 1.9 | 109.6 | 69.0 |\n| CPU | 58.8 | 372.8 | 350.8 | 246.5 |\n| GPU | 30.4 | 3.5 | 120.8 | 27.7 |","| CPU | 109.8 | 814.5 | 602.6 | 664.5 |\n| --- | --- | --- | --- | --- |\n| GPU | 45.2 | 6.2 | 142.6 | 232.3 |",1]
["|  | VA | Priors | t-link | Graph<br>cuts |\n| --- | --- | --- | --- | --- |\n| CPU | 32.9 | 148.1 | 218.6 | 97.0 |\n| GPU | 22.2 | 1.9 | 109.6 | 69.0 |\n| CPU | 58.8 | 372.8 | 350.8 | 246.5 |\n| GPU | 30.4 | 3.5 | 120.8 | 27.7 |","| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",0]
["| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |","| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",1]
["| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |","| KNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| CAPTCHA | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |","| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",1]
["| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |","| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| CAPTCHA | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |","| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |\n| --- | --- | --- | --- | --- |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |\n| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |\n| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 |",1]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |","| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |\n| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |\n| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |\n| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |\n| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 |",0]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |\n| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |\n|  | α=0.05 |  |  |  |","| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 62,608±4489 |\n| --- | --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.71±0.11 | 0.81±0.07 | 5,530±618 |\n| MIMB | 0.90±0.11 | 0.96±0.07 | 0.93±0.07 | 2,999±644 |",1]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.80±0.00 | 0.98±0.06 | 0.88±0.03 | 54,454±3959 |\n| Baseline | 1.00±0.00 | 0.80±0.06 | 0.89±0.04 | 4,983±525 |\n| MIMB | 0.86±0.14 | 1.00±0.00 | 0.92±0.08 | 2,400±747 |\n|  | α=0.05 |  |  |  |","| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |\n| --- | --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |\n| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |\n| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |\n| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 |",0]
["| Imagename | Enc.time | Dec.time |\n| --- | --- | --- |\n| Lena | 14.1170 | 14.1966 |","| Barbara | 15.1475 | 15.0169 |\n| --- | --- | --- |\n| Baboon | 14.1248 | 14.1971 |\n| Boat | 15.1231 | 15.2170 |\n| Peppers | 14.6154 | 14.5972 |",1]
["| Imagename | Enc.time | Dec.time |\n| --- | --- | --- |\n| Lena | 14.1170 | 14.1966 |","| Imagename | NPCR | InformationEntropy |\n| --- | --- | --- |\n| Lena | 99.6170 | 7.9966 |\n| Barbara | 99.6475 | 7.9969 |\n| Baboon | 99.6368 | 7.9971 |\n| Boat | 99.6231 | 7.9970 |\n| Peppers | 99.6154 | 7.9972 |",0]
["| Imagename | Enc.time | Dec.time |\n| --- | --- | --- |\n| Lena | 14.1170 | 14.1966 |\n| Barbara | 15.1475 | 15.0169 |\n| Baboon | 14.1248 | 14.1971 |","| Boat | 15.1231 | 15.2170 |\n| --- | --- | --- |\n| Peppers | 14.6154 | 14.5972 |",1]
["| Imagename | Enc.time | Dec.time |\n| --- | --- | --- |\n| Lena | 14.1170 | 14.1966 |\n| Barbara | 15.1475 | 15.0169 |\n| Baboon | 14.1248 | 14.1971 |","| Boat | 99.6231 | 7.9970 |\n| --- | --- | --- |\n| Peppers | 99.6154 | 7.9972 |",0]
["| Size(s) | True | False | Mis-<br>classiﬁed | Percentage |\n| --- | --- | --- | --- | --- |\n| 10 | 24 | 10 | 4 | 0.05 |\n| 25 | 26 | 10 | 4 | 0.34 |\n| 50 | 25 | 9 | 5 | 1.28 |\n| 75 | 27 | 3 | 1 | 2.5 |","| 100 | 16 | 7 | 5 | 3.47 |\n| --- | --- | --- | --- | --- |\n| 200 | 4 | 4 | 5 | 4.82 |",1]
["| Size(s) | True | False | Mis-<br>classiﬁed | Percentage |\n| --- | --- | --- | --- | --- |\n| 10 | 24 | 10 | 4 | 0.05 |\n| 25 | 26 | 10 | 4 | 0.34 |\n| 50 | 25 | 9 | 5 | 1.28 |\n| 75 | 27 | 3 | 1 | 2.5 |","| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| Size(s) | True | False | Mis-<br>classiﬁed | Percentage |\n| --- | --- | --- | --- | --- |\n| 10 | 24 | 10 | 4 | 0.05 |\n| 25 | 26 | 10 | 4 | 0.34 |\n| 50 | 25 | 9 | 5 | 1.28 |\n| 75 | 27 | 3 | 1 | 2.5 |","| 100 | 16 | 7 | 5 | 3.47 |\n| --- | --- | --- | --- | --- |\n| 200 | 4 | 4 | 5 | 4.82 |",1]
["| Size(s) | True | False | Mis-<br>classiﬁed | Percentage |\n| --- | --- | --- | --- | --- |\n| 10 | 24 | 10 | 4 | 0.05 |\n| 25 | 26 | 10 | 4 | 0.34 |\n| 50 | 25 | 9 | 5 | 1.28 |\n| 75 | 27 | 3 | 1 | 2.5 |","| 1 | 100 | 0 | 45.034 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.1 | 47.353 |",0]
["| 28×28×1 |\n| --- |\n| 9×9Convwithkernels,stride=1,Relu |\n| 20×20×256 |\n| 9×9Convwithkernels,stride=2,8DCaps |\n| 6×6×32×8 |","| WMultiplyby,Weightedsum,Squashing |\n| --- |\n| 10×2 |\n| Decoderpart |",1]
["| 28×28×1 |\n| --- |\n| 9×9Convwithkernels,stride=1,Relu |\n| 20×20×256 |\n| 9×9Convwithkernels,stride=2,8DCaps |\n| 6×6×32×8 |","| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| 28×28×1 |\n| --- |\n| 9×9Convwithkernels,stride=1,Relu |","| 20×20×256 |\n| --- |\n| 9×9Convwithkernels,stride=2,8DCaps |\n| 6×6×32×8 |\n| WMultiplyby,Weightedsum,Squashing |\n| 10×2 |\n| Decoderpart |",1]
["| 28×28×1 |\n| --- |\n| 9×9Convwithkernels,stride=1,Relu |","| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| --- | --- | --- | --- |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["|  | AFLWDataset(21pts) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | [0,30] | (30,60] | (60,90] | mean | std |\n| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |\n| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |","| VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |\n| --- | --- | --- | --- | --- | --- |\n| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |",1]
["|  | AFLWDataset(21pts) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | [0,30] | (30,60] | (60,90] | mean | std |\n| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |\n| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |","| HigherBetter |  |  |  |\n| --- | --- | --- | --- |\n| Pct.<1.25 | Pct.<1.25 | Pct.<1.25 | MeanAbsoluteError |\n| 80.55 | 94.65 | 98.26 | 0.399 |\n| 79.88 | 94.45 | 98.15 | 0.411 |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["|  | AFLWDataset(21pts) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | [0,30] | (30,60] | (60,90] | mean | std |","| AN | 4.88 | 5.55 | 7.10 | 5.84 | 1.14 |\n| --- | --- | --- | --- | --- | --- |\n| AN+LR | 4.00 | 4.48 | 5.89 | 4.79 | 0.98 |\n| VGG | 4.15 | 4.64 | 5.96 | 4.92 | 0.94 |\n| VGG+LR | 3.46 | 3.78 | 4.77 | 4.00 | 0.69 |",1]
["|  | AFLWDataset(21pts) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | [0,30] | (30,60] | (60,90] | mean | std |","| 79.88 | 94.45 | 98.15 | 0.411 |\n| --- | --- | --- | --- |\n| 78.70 | 94.06 | 98.13 | 0.419 |\n| 78.72 | 94.13 | 98.08 | 0.423 |\n| 80.17 | 94.74 | 98.27 | 0.401 |\n| 79.26 | 94.19 | 98.07 | 0.422 |",0]
["|  | FIE0 | FIEI | FIEII | FIEIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |\n| SourceFiles | 19 | 20 | 24 | 29 |\n| DataFiles | 2 | 8 | 14 | 14 |","| DependencyFiles | 255 | 255 | 411 | 659 |\n| --- | --- | --- | --- | --- |\n| SizeofAllFiles | 133.2MB | 178.4MB | 289.7MB | 306.6MB |\n| NormalRunTime | 52.046s | 238.833s | 295.785s | 7200s |",1]
["|  | FIE0 | FIEI | FIEII | FIEIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |\n| SourceFiles | 19 | 20 | 24 | 29 |\n| DataFiles | 2 | 8 | 14 | 14 |","|  | VIC0 | VICI | VICII | VICIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | C,C++,Python,Cshell,Fortran |  |  |  |\n| Sourceﬁles | 35 | 61 | 77 | 97 |\n| Dataﬁles | 3689 | 6313 | 11460 | 11481 |\n| DependencyFiles | 247 | 260 | 314 | 357 |\n| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |\n| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s |",0]
["|  | FIE0 | FIEI | FIEII | FIEIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |\n| SourceFiles | 19 | 20 | 24 | 29 |\n| DataFiles | 2 | 8 | 14 | 14 |","| DependencyFiles | 255 | 255 | 411 | 659 |\n| --- | --- | --- | --- | --- |\n| SizeofAllFiles | 133.2MB | 178.4MB | 289.7MB | 306.6MB |\n| NormalRunTime | 52.046s | 238.833s | 295.785s | 7200s |",1]
["|  | FIE0 | FIEI | FIEII | FIEIII |\n| --- | --- | --- | --- | --- |\n| SourceLanguages | R,Bash | R,Bash | R,Bash | R,Bash |\n| SourceFiles | 19 | 20 | 24 | 29 |\n| DataFiles | 2 | 8 | 14 | 14 |","| SizeofAllFiles | 1.2GB | 1.3GB | 2.2GB | 2.3GB |\n| --- | --- | --- | --- | --- |\n| NormalRunTime | 158.734s | 306.069s | 363.147s | 377.29s |",0]
["| Datasets | BBC-Sport |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.735<br>0.747 | 0.853<br>0.886 | 0.744<br>0.725 | 0.798<br>0.789 | 0.804<br>0.803 | 0.792<br>0.776 | 0.642<br>0.768 | 0.731<br>0.871 | 0.545<br>0.736 |","| Co-reg<br>RMSC | 0.771<br>0.808 | 0.849<br>0.912 | 0.783<br>0.837 | 0.829<br>0.871 | 0.836<br>0.879 | 0.822<br>0.864 | 0.804<br>0.822 | 0.780<br>0.915 | 0.755<br>0.789 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DiMSC<br>ECMSC | 0.814<br>0.090 | 0.901<br>0.408 | 0.843<br>0.060 | 0.880<br>0.391 | 0.875<br>0.267 | 0.882<br>0.942 | 0.772<br>0.780 | 0.703<br>0.718 | 0.652<br>0.672 |\n| t-SVD-MSC<br>ETLMSC | 0.830<br>0.984 | 0.941<br>0.978 | 0.853<br>0.967 | 0.888<br>0.977 | 0.881<br>0.963 | 0.896<br>0.998 | 0.932<br>0.977 | 0.955<br>0.958 | 0.924<br>0.953 |",1]
["| Datasets | BBC-Sport |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.735<br>0.747 | 0.853<br>0.886 | 0.744<br>0.725 | 0.798<br>0.789 | 0.804<br>0.803 | 0.792<br>0.776 | 0.642<br>0.768 | 0.731<br>0.871 | 0.545<br>0.736 |","| Datasets | Scene-15 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |\n| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |\n| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",0]
["| Datasets | BBC-Sport |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |","| SPCbest<br>LRRbest | 0.735<br>0.747 | 0.853<br>0.886 | 0.744<br>0.725 | 0.798<br>0.789 | 0.804<br>0.803 | 0.792<br>0.776 | 0.642<br>0.768 | 0.731<br>0.871 | 0.545<br>0.736 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Co-reg<br>RMSC | 0.771<br>0.808 | 0.849<br>0.912 | 0.783<br>0.837 | 0.829<br>0.871 | 0.836<br>0.879 | 0.822<br>0.864 | 0.804<br>0.822 | 0.780<br>0.915 | 0.755<br>0.789 |\n| DiMSC<br>ECMSC | 0.814<br>0.090 | 0.901<br>0.408 | 0.843<br>0.060 | 0.880<br>0.391 | 0.875<br>0.267 | 0.882<br>0.942 | 0.772<br>0.780 | 0.703<br>0.718 | 0.652<br>0.672 |\n| t-SVD-MSC<br>ETLMSC | 0.830<br>0.984 | 0.941<br>0.978 | 0.853<br>0.967 | 0.888<br>0.977 | 0.881<br>0.963 | 0.896<br>0.998 | 0.932<br>0.977 | 0.955<br>0.958 | 0.924<br>0.953 |",1]
["| Datasets | BBC-Sport |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |","| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",0]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |\n| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |\n| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |\n| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 |","| bunny | 39.03±0.00 | 23.40±1.22 | 35.88±1.82 | 43.62±0.01 | 43.73±0.05 |\n| --- | --- | --- | --- | --- | --- |\n| cards | 26.13±0.00 | 17.77±0.33 | 25.22±1.40 | 28.34±0.00 | 31.03±0.02 |\n| chess | 33.11±0.00 | 20.56±0.24 | 31.19±1.96 | 35.76±0.00 | 36.87±0.04 |\n| eucalyptus | 31.71±0.00 | 23.38±0.17 | 32.23±1.61 | 33.03±0.00 | 34.51±0.01 |\n| knights | 31.31±0.02 | 19.36±0.07 | 25.55±1.40 | 34.38±0.05 | 35.37±0.06 |\n| treasure | 27.98±0.00 | 21.45±0.14 | 27.86±0.89 | 29.58±0.00 | 31.37±0.01 |\n| truck | 33.52±0.02 | 23.27±0.05 | 33.04±1.66 | 35.45±0.04 | 36.67±0.05 |",1]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |\n| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |\n| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |\n| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 |","|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| buddha | 35.22±0.00 | 38.22±0.11 | 39.12±0.62 | 37.73±0.03 | 38.59±0.08 |\n| buddha2 | 30.97±0.00 | 33.01±0.11 | 33.63±0.22 | 33.67±0.00 | 34.17±0.01 |\n| couple | 25.52±0.00 | 26.22±1.61 | 31.83±2.80 | 28.56±0.00 | 32.79±0.17 |\n| cube | 26.06±0.00 | 26.40±1.90 | 30.99±3.02 | 28.81±0.00 | 32.60±0.23 |\n| horses | 26.37±0.00 | 29.14±0.63 | 33.13±0.72 | 27.80±0.00 | 30.99±0.05 |\n| maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |\n| medieval | 30.07±0.00 | 30.53±0.67 | 33.34±0.71 | 31.23±0.00 | 33.23±0.03 |\n| mona | 35.11±0.00 | 37.54±0.64 | 38.32±1.14 | 39.07±0.00 | 39.30±0.04 |\n| papillon | 36.19±0.00 | 39.91±0.15 | 40.59±0.89 | 39.88±0.00 | 40.94±0.06 |\n| pyramide | 26.49±0.00 | 26.73±1.42 | 33.35±4.06 | 29.69±0.00 | 34.63±0.34 |\n| statue | 26.32±0.00 | 26.15±2.15 | 32.95±4.67 | 29.65±0.00 | 34.81±0.38 |\n| stillLife | 25.28±0.00 | 25.58±1.41 | 28.84±0.82 | 27.27±0.00 | 30.80±0.07 |",0]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |\n| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |\n| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |\n| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 |","| bunny | 39.03±0.00 | 23.40±1.22 | 35.88±1.82 | 43.62±0.01 | 43.73±0.05 |\n| --- | --- | --- | --- | --- | --- |\n| cards | 26.13±0.00 | 17.77±0.33 | 25.22±1.40 | 28.34±0.00 | 31.03±0.02 |\n| chess | 33.11±0.00 | 20.56±0.24 | 31.19±1.96 | 35.76±0.00 | 36.87±0.04 |\n| eucalyptus | 31.71±0.00 | 23.38±0.17 | 32.23±1.61 | 33.03±0.00 | 34.51±0.01 |\n| knights | 31.31±0.02 | 19.36±0.07 | 25.55±1.40 | 34.38±0.05 | 35.37±0.06 |\n| treasure | 27.98±0.00 | 21.45±0.14 | 27.86±0.89 | 29.58±0.00 | 31.37±0.01 |\n| truck | 33.52±0.02 | 23.27±0.05 | 33.04±1.66 | 35.45±0.04 | 36.67±0.05 |",1]
["|  | Bilinear |  |  |  | GB-DR |\n| --- | --- | --- | --- | --- | --- |\n| amethyst | 32.69±0.01 | 21.94±0.30 | 31.47±1.07 | 34.79±0.01 | 35.97±0.03 |\n| beans | 43.81±0.01 | 22.66±0.26 | 31.25±1.85 | 47.38±0.02 | 48.67±0.12 |\n| bracelet | 29.06±0.00 | 17.37±0.22 | 15.83±0.32 | 31.96±0.00 | 35.23±0.06 |\n| bulldozer | 31.88±0.00 | 21.85±0.11 | 26.21±0.85 | 35.48±0.01 | 35.44±0.05 |","| maria | 32.84±0.00 | 35.60±0.33 | 37.03±0.44 | 35.50±0.00 | 37.19±0.03 |\n| --- | --- | --- | --- | --- | --- |\n| medieval | 30.07±0.00 | 30.53±0.67 | 33.34±0.71 | 31.23±0.00 | 33.23±0.03 |\n| mona | 35.11±0.00 | 37.54±0.64 | 38.32±1.14 | 39.07±0.00 | 39.30±0.04 |\n| papillon | 36.19±0.00 | 39.91±0.15 | 40.59±0.89 | 39.88±0.00 | 40.94±0.06 |\n| pyramide | 26.49±0.00 | 26.73±1.42 | 33.35±4.06 | 29.69±0.00 | 34.63±0.34 |\n| statue | 26.32±0.00 | 26.15±2.15 | 32.95±4.67 | 29.65±0.00 | 34.81±0.38 |\n| stillLife | 25.28±0.00 | 25.58±1.41 | 28.84±0.82 | 27.27±0.00 | 30.80±0.07 |",0]
["| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |\n| --- | --- | --- |\n|  |  |  |\n| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |\n| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |\n| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |\n| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |\n| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 |","| 0.95240.94828.6817<br>0.95460.95198.3757<br>0.95770.95408.1952<br>0.95750.95398.1958 | 0.94230.92790.0979<br>0.95690.95320.0801<br>0.95460.94490.0859<br>0.95530.94620.0849 | 0.89790.87620.6466<br>0.87750.85850.6881<br>0.90480.88660.6207<br>0.90480.88720.6193 |\n| --- | --- | --- |\n| 0.95130.94898.6188<br>0.96360.96047.6137<br>0.95670.95228.3472<br>0.96690.96756.9073 | 0.91330.89910.1149<br>0.91950.92770.0980<br>0.92130.91440.1063<br>0.94660.95000.0820 | 0.85420.84510.7173<br>0.74910.80840.7899<br>0.85590.85790.6895<br>0.83400.82900.7505 |",1]
["| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |\n| --- | --- | --- |\n|  |  |  |\n| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |\n| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |\n| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |\n| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |\n| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 |","| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |\n| --- | --- | --- |\n|  |  |  |\n| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |\n| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |\n| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |\n| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |\n| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 |","| 0.95240.94828.6817<br>0.95460.95198.3757<br>0.95770.95408.1952<br>0.95750.95398.1958 | 0.94230.92790.0979<br>0.95690.95320.0801<br>0.95460.94490.0859<br>0.95530.94620.0849 | 0.89790.87620.6466<br>0.87750.85850.6881<br>0.90480.88660.6207<br>0.90480.88720.6193 |\n| --- | --- | --- |\n| 0.95130.94898.6188<br>0.96360.96047.6137<br>0.95670.95228.3472<br>0.96690.96756.9073 | 0.91330.89910.1149<br>0.91950.92770.0980<br>0.92130.91440.1063<br>0.94660.95000.0820 | 0.85420.84510.7173<br>0.74910.80840.7899<br>0.85590.85790.6895<br>0.83400.82900.7505 |",1]
["| LIVE(779images) | CSIQ(886images) | TID2008(1700images) |\n| --- | --- | --- |\n|  |  |  |\n| 0.87560.872313.3597<br>0.87710.5707N/A<br>0.87460.871613.3944 | 0.80580.75120.1733<br>0.83440.64480.2007<br>0.82390.55940.2176 | 0.55310.57341.0994<br>0.58010.55931.1124<br>0.67120.64731.0229 |\n| 0.94790.94498.9455<br>0.91740.903211.7261<br>0.91660.901711.8156 | 0.87560.86130.1334<br>0.81690.80940.1542<br>0.83880.83160.1458 | 0.77490.77320.8511<br>0.75600.73740.9063<br>0.77750.76190.8691 |\n| 0.95610.95128.4327<br>0.94640.94099.2559<br>0.95380.94868.6494 | 0.91080.89640.1164<br>0.93080.92410.1003<br>0.92950.91980.1030 | 0.85040.84220.7235<br>0.84660.83070.7470<br>0.88230.87200.6568 |\n| 0.96340.95977.6780<br>0.96020.95797.8442<br>0.96090.95807.8370<br>0.96110.95847.8003 | 0.92420.91200.1077<br>0.95660.95340.0792<br>0.95250.94600.0851<br>0.95550.95070.0814 | 0.88050.87380.6525<br>0.89140.87620.6467<br>0.87830.86340.6770<br>0.89350.87750.6436 |\n| 0.95950.95568.0489<br>0.96030.96037.6214<br>0.96270.96187.4802<br>0.96190.96147.5149 | 0.92900.91270.1073<br>0.95700.95410.0786<br>0.95320.94570.0853<br>0.95590.95090.0813 | 0.84770.83660.7351<br>0.89070.87880.6404<br>0.88370.87110.6589<br>0.89610.88300.6300 |","| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| --- | --- | --- | --- | --- | --- |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |",0]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False |\n| Objectcategory | numberofcategories<br>categorylook-uptabledimension | 90<br>512 |","| Crop | cropsize<br>surroundingfactor | 224x224x3<br>1.1 |\n| --- | --- | --- |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| Fusionblock | numberofMLPhiddenunits | 512 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>1e-4<br>3<br>10<br>32 |",1]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False |\n| Objectcategory | numberofcategories<br>categorylook-uptabledimension | 90<br>512 |","|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>2<br>1024<br>True(dim300) |\n| Image | imagesize<br>attentionmechanism<br>numberofunitsforattention | 224x224x3<br>spatial<br>512 |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 |",0]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False |","| Objectcategory | numberofcategories<br>categorylook-uptabledimension | 90<br>512 |\n| --- | --- | --- |\n| Crop | cropsize<br>surroundingfactor | 224x224x3<br>1.1 |\n| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| Fusionblock | numberofMLPhiddenunits | 512 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>1e-4<br>3<br>10<br>32 |",1]
["|  |  |  |\n| --- | --- | --- |\n| Question | wordembeddingsize<br>numberofLSTM<br>numberofLSTMhiddenunits<br>useGlove | 300<br>1<br>1024<br>False |","| CBN | selectedblocks<br>numberofMLPhiddenunits<br>ResNet | all<br>512<br>ResNet-50v1 |\n| --- | --- | --- |\n| Fusionblock | fusionembeddingsize<br>numberofMLPhiddenunits<br>numberofanswers | 1024<br>512<br>2000 |\n| Optimizer | Name<br>Learningrate<br>Clipvalue<br>numberofepoch<br>batchsize | Adam<br>2e-4<br>5<br>20<br>32 |",0]
["| 55.1<br>61.5 |\n| --- |\n| 61.4<br>59.1<br>58.1 |\n| 61.7<br>61.0<br>60.4 |","| 63.4<br>61.2<br>60.9 |\n| --- |\n| 63.1<br>61.7<br>61.5 |",1]
["| 55.1<br>61.5 |\n| --- |\n| 61.4<br>59.1<br>58.1 |\n| 61.7<br>61.0<br>60.4 |","| 81.46<br>81.89<br>81.58<br>82.45 |\n| --- |\n| 79.70<br>80.27<br>80.91 |\n| 81.15 |\n| 69.19<br>74.70<br>75.80 |\n| 79.65<br>81.38 |",0]
["| 55.1<br>61.5 |\n| --- |\n| 61.4<br>59.1<br>58.1 |","| 61.7<br>61.0<br>60.4 |\n| --- |\n| 63.4<br>61.2<br>60.9 |\n| 63.1<br>61.7<br>61.5 |",1]
["| 55.1<br>61.5 |\n| --- |\n| 61.4<br>59.1<br>58.1 |","| 69.19<br>74.70<br>75.80 |\n| --- |\n| 79.65<br>81.38 |",0]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |","| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |\n| --- | --- | --- | --- | --- |\n| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",1]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |\n| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |\n| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |","| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| --- | --- | --- | --- | --- |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",1]
["|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |\n| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |","| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| --- | --- | --- | --- | --- |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| ML-CNN | 81.97 | 79.11 | 63.16 | 62.45 | 76.25 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |\n| G-tasks | 90.10 | 92.29 | 89.80 | 73.52 | 89.18 |","| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| --- | --- | --- | --- | --- | --- |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |",1]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| ML-CNN | 81.97 | 79.11 | 63.16 | 62.45 | 76.25 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |\n| G-tasks | 90.10 | 92.29 | 89.80 | 73.52 | 89.18 |","| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| S-extract | 81.84 | 82.07 | 67.51 | 69.25 | 78.31 |\n| M-extract | 84.98 | 89.89 | 81.41 | 81.03 | 85.29 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |",0]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| ML-CNN | 81.97 | 79.11 | 63.16 | 62.45 | 76.25 |","| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| --- | --- | --- | --- | --- | --- |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |\n| G-tasks | 90.10 | 92.29 | 89.80 | 73.52 | 89.18 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |",1]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| ML-CNN | 81.97 | 79.11 | 63.16 | 62.45 | 76.25 |","| M-extract | 84.98 | 89.89 | 81.41 | 81.03 | 85.29 |\n| --- | --- | --- | --- | --- | --- |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |",0]
["| Surfaceexpression | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | (Johnni(to))shita(done). | 16 |\n| Nounga(subject)/mo/da/nara | Johnga(subject)shita(do). | 15 |","| Nounwo(object)/ni/,/. | Johnni(object)shita(do). | 14 |\n| --- | --- | --- |\n| Nounhe(to)/de(in)/kara(from) | gakkou(school)he(to)iku(go). | 13 |",1]
["| Surfaceexpression | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | (Johnni(to))shita(done). | 16 |\n| Nounga(subject)/mo/da/nara | Johnga(subject)shita(do). | 15 |","| Surfaceexpression(Notincluding“wa”) | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | [Johnni(to)]shita(done). | 16 |\n| Nounga(subject)/mo/da/nara/koso | Johnga(subject)shita(done). | 15 |\n| Nounwo(object)/ni/,/. | Johnni(object)shita(done). | 14 |\n| Nounhe(to)/de(in)/kara(from)/yori | gakkou(school)he(to)iku(go). | 13 |",0]
["| Surfaceexpression | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | (Johnni(to))shita(done). | 16 |","| Nounga(subject)/mo/da/nara | Johnga(subject)shita(do). | 15 |\n| --- | --- | --- |\n| Nounwo(object)/ni/,/. | Johnni(object)shita(do). | 14 |\n| Nounhe(to)/de(in)/kara(from) | gakkou(school)he(to)iku(go). | 13 |",1]
["| Surfaceexpression | Example | Weight |\n| --- | --- | --- |\n| Pronoun/zero-pronounwo(object)/ni(to)/kara(from) | (Johnni(to))shita(done). | 16 |","| Nounwo(object)/ni/,/. | Johnni(object)shita(done). | 14 |\n| --- | --- | --- |\n| Nounhe(to)/de(in)/kara(from)/yori | gakkou(school)he(to)iku(go). | 13 |",0]
["| Models | IOU | Params | GFLOPs |\n| --- | --- | --- | --- |\n| ERFNet | 70.45 | 2038448 | 27.705 |\n| D* | 68.55 | 547120 | 10.597 |\n| DG2* | 65.35 | 395568 | 8.852 |\n| DG4* | 61.42 | 319792 | 7.980 |\n| DG8* | 59.15 | 281904 | 7.543 |\n| DG2S* | 65.36 | 395568 | 8.852 |","| DG4S* | 61.27 | 319792 | 7.980 |\n| --- | --- | --- | --- |\n| DG8S* | 59.89 | 281904 | 7.543 |",1]
["| Models | IOU | Params | GFLOPs |\n| --- | --- | --- | --- |\n| ERFNet | 70.45 | 2038448 | 27.705 |\n| D* | 68.55 | 547120 | 10.597 |\n| DG2* | 65.35 | 395568 | 8.852 |\n| DG4* | 61.42 | 319792 | 7.980 |\n| DG8* | 59.15 | 281904 | 7.543 |\n| DG2S* | 65.36 | 395568 | 8.852 |","| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |\n| DG2 | 69.71 | 1238960 | 18.998 |\n| DG4 | 68.98 | 1202096 | 18.595 |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["| Models | IOU | Params | GFLOPs |\n| --- | --- | --- | --- |\n| ERFNet | 70.45 | 2038448 | 27.705 |\n| D* | 68.55 | 547120 | 10.597 |\n| DG2* | 65.35 | 395568 | 8.852 |\n| DG4* | 61.42 | 319792 | 7.980 |","| DG8* | 59.15 | 281904 | 7.543 |\n| --- | --- | --- | --- |\n| DG2S* | 65.36 | 395568 | 8.852 |\n| DG4S* | 61.27 | 319792 | 7.980 |\n| DG8S* | 59.89 | 281904 | 7.543 |",1]
["| Models | IOU | Params | GFLOPs |\n| --- | --- | --- | --- |\n| ERFNet | 70.45 | 2038448 | 27.705 |\n| D* | 68.55 | 547120 | 10.597 |\n| DG2* | 65.35 | 395568 | 8.852 |\n| DG4* | 61.42 | 319792 | 7.980 |","| DG4 | 68.98 | 1202096 | 18.595 |\n| --- | --- | --- | --- |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",0]
["| Feature | Type |\n| --- | --- |\n| Recency | ShallowLinguistic |\n| Frequency | ShallowLinguistic |\n| Grammaticalfunction | ShallowLinguistic |\n| Previoussubject | ShallowLinguistic |\n| Previousobject | ShallowLinguistic |\n| PreviousREtype | ShallowLinguistic |","| Selectionalpreferences | Linguistic |\n| --- | --- |\n| Participanttypeﬁt | Script |\n| Predicateschemas | Script |",1]
["| Feature | Type |\n| --- | --- |\n| Recency | ShallowLinguistic |\n| Frequency | ShallowLinguistic |\n| Grammaticalfunction | ShallowLinguistic |\n| Previoussubject | ShallowLinguistic |\n| Previousobject | ShallowLinguistic |\n| PreviousREtype | ShallowLinguistic |","| LexicalFeatures |\n| --- |\n| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |\n| StructuralFeatures |\n| seeTable3 |\n| GrammaticalFeatures |\n| part-of-speech<br>phrasetype(VP/NP/PP)<br>dependencyrelations |\n| OtherFeatures |\n| speakerrole<br>topic |",0]
["| Feature | Type |\n| --- | --- |\n| Recency | ShallowLinguistic |\n| Frequency | ShallowLinguistic |\n| Grammaticalfunction | ShallowLinguistic |\n| Previoussubject | ShallowLinguistic |","| Previousobject | ShallowLinguistic |\n| --- | --- |\n| PreviousREtype | ShallowLinguistic |\n| Selectionalpreferences | Linguistic |\n| Participanttypeﬁt | Script |\n| Predicateschemas | Script |",1]
["| Feature | Type |\n| --- | --- |\n| Recency | ShallowLinguistic |\n| Frequency | ShallowLinguistic |\n| Grammaticalfunction | ShallowLinguistic |\n| Previoussubject | ShallowLinguistic |","| part-of-speech<br>phrasetype(VP/NP/PP)<br>dependencyrelations |\n| --- |\n| OtherFeatures |\n| speakerrole<br>topic |",0]
["| Model | ItautecMX214 |\n| --- | --- |\n| CPU | 2xIntelXeonX56753.07GHz |\n| DRAM | 48GBDDR31333MHz |\n| Disk | 5.8TBSATA3GB/s |\n| QPI | 6,4GT/s |\n| S.O. | Ubuntu15.04 |\n| Kernel | 3.19.0-15 |","| Hypervisor | KVM |\n| --- | --- |\n| HardwareEmulation | Qemu2.2.0 |",1]
["| Model | ItautecMX214 |\n| --- | --- |\n| CPU | 2xIntelXeonX56753.07GHz |\n| DRAM | 48GBDDR31333MHz |\n| Disk | 5.8TBSATA3GB/s |\n| QPI | 6,4GT/s |\n| S.O. | Ubuntu15.04 |\n| Kernel | 3.19.0-15 |","| ItemType | ItemDescription | Qty |\n| --- | --- | --- |\n| Chassis | NEXXUS4080ALDesk-sideChassis | 1 |\n| ComputeShelve | ComputeShelveAL/EN(IncludingPowerSupply) | 4 |\n| Motherboard | IntelS5000ALMotherboard-1333MHzFSB | 4 |\n| Processor | XeonQuad-CoreE54102.3312M1333MHz-80W | 8 |\n| MemoryType1 | 2GBFBDIMMSDDR2667ECC/Reg. | 32 |\n| HardDrive | HDDRaid500GB,7200rpm,16MB,SATAIINCQ | 2 |\n| HardDrive | HDDRaid250GB,7200rpm,16MB,SATAIINCQ | 3 |\n| HeatSink | HighPerformancePassiveHeatSink | 8 |\n| RiserCard | PCI/ExpressRiserCard | 4 |\n| KVM/USB | IntegratedKVM/USBSwitch | 1 |\n| GigabitSwitch | Integrated16PortGigESwitch | 1 |\n| PowerCord | PowerCordUSA/JPN15AmpROHSCompliant | 1 |",0]
["| Model | ItautecMX214 |\n| --- | --- |\n| CPU | 2xIntelXeonX56753.07GHz |\n| DRAM | 48GBDDR31333MHz |\n| Disk | 5.8TBSATA3GB/s |\n| QPI | 6,4GT/s |\n| S.O. | Ubuntu15.04 |","| Kernel | 3.19.0-15 |\n| --- | --- |\n| Hypervisor | KVM |\n| HardwareEmulation | Qemu2.2.0 |",1]
["| Model | ItautecMX214 |\n| --- | --- |\n| CPU | 2xIntelXeonX56753.07GHz |\n| DRAM | 48GBDDR31333MHz |\n| Disk | 5.8TBSATA3GB/s |\n| QPI | 6,4GT/s |\n| S.O. | Ubuntu15.04 |","| HardDrive | HDDRaid500GB,7200rpm,16MB,SATAIINCQ | 2 |\n| --- | --- | --- |\n| HardDrive | HDDRaid250GB,7200rpm,16MB,SATAIINCQ | 3 |\n| HeatSink | HighPerformancePassiveHeatSink | 8 |\n| RiserCard | PCI/ExpressRiserCard | 4 |\n| KVM/USB | IntegratedKVM/USBSwitch | 1 |\n| GigabitSwitch | Integrated16PortGigESwitch | 1 |\n| PowerCord | PowerCordUSA/JPN15AmpROHSCompliant | 1 |",0]
["| Parameter | Value |\n| --- | --- |\n| Stackedautoencoderinputlayerdim. | 1001 |\n| Stackedautoencodersecondlayerdim. | 91 |","| Stackedautoencoderbottlenecklayerdim. | 21 |\n| --- | --- |\n| Numberofhiddenlayers?? | 3 |\n| Firstlayeractivation | tanh |\n| Hiddenlayeractivation | sigmoid |\n| InitialstatesinHMM | 12-18 |\n| NumberofGMMcomponents | 2-5 |\n| MinimumdurationofHMMstates | 0.2s-1s |\n| Splicingcontext(past) | 5frames |\n| Splicingcontext(future) | 5frames |\n| Features | MFCC |\n| Windowlength | 25ms |\n| Skip-rate | 10ms |\n| Samplingrate | 8000Hz |",1]
["| Parameter | Value |\n| --- | --- |\n| Stackedautoencoderinputlayerdim. | 1001 |\n| Stackedautoencodersecondlayerdim. | 91 |","| LayerType | Parameters |\n| --- | --- |\n| Input | 94x24pixelsRGBimage |\n| Convolution | #643x3stride1 |\n| MaxPooling | #643x3stride1 |\n| Smallbasicblock | #1283x3stride1 |\n| MaxPooling | #643x3stride(2,1) |\n| Smallbasicblock | #2563x3stride1 |\n| Smallbasicblock | #2563x3stride1 |\n| MaxPooling | #643x3stride(2,1) |\n| Dropout | 0.5ratio |\n| Convolution | #2564x1stride1 |\n| Dropout | 0.5ratio |\n| Convolution | #classnumber1x13stride1 |",0]
["| Parameter | Value |\n| --- | --- |\n| Stackedautoencoderinputlayerdim. | 1001 |\n| Stackedautoencodersecondlayerdim. | 91 |","| Stackedautoencoderbottlenecklayerdim. | 21 |\n| --- | --- |\n| Numberofhiddenlayers?? | 3 |\n| Firstlayeractivation | tanh |\n| Hiddenlayeractivation | sigmoid |\n| InitialstatesinHMM | 12-18 |\n| NumberofGMMcomponents | 2-5 |\n| MinimumdurationofHMMstates | 0.2s-1s |\n| Splicingcontext(past) | 5frames |\n| Splicingcontext(future) | 5frames |\n| Features | MFCC |\n| Windowlength | 25ms |\n| Skip-rate | 10ms |\n| Samplingrate | 8000Hz |",1]
["| Parameter | Value |\n| --- | --- |\n| Stackedautoencoderinputlayerdim. | 1001 |\n| Stackedautoencodersecondlayerdim. | 91 |","| Convolution | #2564x1stride1 |\n| --- | --- |\n| Dropout | 0.5ratio |\n| Convolution | #classnumber1x13stride1 |",0]
["| \\|Λ\\|Algorithm | Objectivevaluesfordiﬀerentp |  |  |  |\n| --- | --- | --- | --- | --- |\n| p=0.9 | p=0.6 | p=0.5 | p=0.3 | p=0.1 |","| 10DCG<br>10Greedy | 7.1<br>6.8 | 5.2<br>5.1 | 4.7<br>4.6 | 3.4<br>3.4 | 2.6<br>2.6 |\n| --- | --- | --- | --- | --- | --- |\n| 50DCG<br>50Greedy | 7.4<br>6.82 | 5.84<br>5.66 | 5.18<br>5.06 | 3.98<br>3.98 | 2.68<br>2.68 |\n| 100DCG<br>100Greedy | 7.38<br>6.69 | 5.61<br>5.52 | 5.04<br>5.04 | 3.96<br>3.96 | 2.76<br>2.76 |",1]
["| \\|Λ\\|Algorithm | Objectivevaluesfordiﬀerentp |  |  |  |\n| --- | --- | --- | --- | --- |\n| p=0.9 | p=0.6 | p=0.5 | p=0.3 | p=0.1 |","| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |\n| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| \\|Λ\\|Algorithm | Objectivevaluesfordiﬀerentp |  |  |  |\n| --- | --- | --- | --- | --- |\n| p=0.9 | p=0.6 | p=0.5 | p=0.3 | p=0.1 |","| 10DCG<br>10Greedy | 7.1<br>6.8 | 5.2<br>5.1 | 4.7<br>4.6 | 3.4<br>3.4 | 2.6<br>2.6 |\n| --- | --- | --- | --- | --- | --- |\n| 50DCG<br>50Greedy | 7.4<br>6.82 | 5.84<br>5.66 | 5.18<br>5.06 | 3.98<br>3.98 | 2.68<br>2.68 |\n| 100DCG<br>100Greedy | 7.38<br>6.69 | 5.61<br>5.52 | 5.04<br>5.04 | 3.96<br>3.96 | 2.76<br>2.76 |",1]
["| \\|Λ\\|Algorithm | Objectivevaluesfordiﬀerentp |  |  |  |\n| --- | --- | --- | --- | --- |\n| p=0.9 | p=0.6 | p=0.5 | p=0.3 | p=0.1 |","| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| --- | --- | --- | --- | --- |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| Models | model1 | model2 | model3 |\n| --- | --- | --- | --- |\n| Trainingloss | 0.82 | 1.01 | 1.72 |","| Numberofepochs | 50 | 30 | 19 |\n| --- | --- | --- | --- |\n| BLEUscore | 24.5/9.0/3.2/1.3 | 26.0/9.7/3.6/1.5 | 26.4/10.1/3.8/1.6 |\n| METEORscore | 23.0 | 23.9 | 23.9 |",1]
["| Models | model1 | model2 | model3 |\n| --- | --- | --- | --- |\n| Trainingloss | 0.82 | 1.01 | 1.72 |","| Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 |  |\n| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |\n| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |\n| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",0]
["| Models | model1 | model2 | model3 |\n| --- | --- | --- | --- |\n| Trainingloss | 0.82 | 1.01 | 1.72 |\n| Numberofepochs | 50 | 30 | 19 |","| BLEUscore | 24.5/9.0/3.2/1.3 | 26.0/9.7/3.6/1.5 | 26.4/10.1/3.8/1.6 |\n| --- | --- | --- | --- |\n| METEORscore | 23.0 | 23.9 | 23.9 |",1]
["| Models | model1 | model2 | model3 |\n| --- | --- | --- | --- |\n| Trainingloss | 0.82 | 1.01 | 1.72 |\n| Numberofepochs | 50 | 30 | 19 |","| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",0]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.45 | 0.45 | 0.45 | 0.41 | 0.37 | 0.31 |\n| ball1 | 0.8 | 0.8 | 0.8 | 0.81 | 0.8 | 0.8 |\n| ball2 | 0.44 | 0.31 | 0.38 | 0.3 | 0.47 | 0.45 |\n| basketball | 0.6 | 0.55 | 0.55 | 0.6 | 0.62 | 0.61 |\n| birds1 | 0.52 | 0.53 | 0.52 | 0.5 | 0.53 | 0.53 |\n| birds2 | 0.29 | 0.28 | 0.32 | 0.28 | 0.28 | 0.28 |\n| blanket | 0.58 | 0.61 | 0.61 | 0.64 | 0.62 | 0.61 |\n| bmx | 0.24 | 0.42 | 0.42 | 0.42 | 0.43 | 0.42 |\n| bolt1 | 0.52 | 0.66 | 0.67 | 0.67 | 0.68 | 0.68 |\n| bolt2 | 0.56 | 0.48 | 0.57 | 0.58 | 0.58 | 0.57 |\n| book | 0.41 | 0.39 | 0.38 | 0.39 | 0.37 | 0.46 |\n| butterfly | 0.45 | 0.4 | 0.4 | 0.41 | 0.4 | 0.41 |\n| car1 | 0.74 | 0.74 | 0.75 | 0.76 | 0.75 | 0.74 |\n| car2 | 0.77 | 0.73 | 0.74 | 0.75 | 0.77 | 0.78 |\n| crossing | 0.71 | 0.69 | 0.69 | 0.7 | 0.71 | 0.71 |\n| dinosaur | 0.41 | 0.29 | 0.28 | 0.32 | 0.32 | 0.43 |\n| fernando | 0.38 | 0.35 | 0.32 | 0.4 | 0.41 | 0.42 |\n| fish1 | 0.43 | 0.4 | 0.42 | 0.53 | 0.52 | 0.52 |\n| fish2 | 0.34 | 0.42 | 0.39 | 0.34 | 0.34 | 0.33 |\n| fish3 | 0.6 | 0.61 | 0.61 | 0.59 | 0.58 | 0.58 |\n| fish4 | 0.46 | 0.43 | 0.31 | 0.42 | 0.43 | 0.43 |\n| girl | 0.63 | 0.68 | 0.68 | 0.69 | 0.69 | 0.69 |\n| glove | 0.52 | 0.52 | 0.53 | 0.51 | 0.53 | 0.55 |\n| godfather | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 |\n| graduate | 0.38 | 0.47 | 0.48 | 0.49 | 0.46 | 0.47 |\n| gymnastics1 | 0.37 | 0.38 | 0.36 | 0.37 | 0.39 | 0.39 |\n| gymnastics2 | 0.5 | 0.5 | 0.49 | 0.52 | 0.5 | 0.5 |\n| gymnastics3 | 0.29 | 0.39 | 0.35 | 0.37 | 0.33 | 0.29 |\n| gymnastics4 | 0.5 | 0.44 | 0.43 | 0.42 | 0.43 | 0.44 |\n| hand | 0.43 | 0.4 | 0.38 | 0.42 | 0.41 | 0.44 |\n| handball1 | 0.6 | 0.57 | 0.6 | 0.62 | 0.62 | 0.57 |\n| handball2 | 0.46 | 0.49 | 0.52 | 0.52 | 0.54 | 0.44 |\n| helicopter | 0.38 | 0.51 | 0.51 | 0.49 | 0.47 | 0.47 |\n| iceskater1 | 0.51 | 0.52 | 0.52 | 0.56 | 0.56 | 0.54 |\n| iceskater2 | 0.58 | 0.53 | 0.53 | 0.53 | 0.55 | 0.54 |\n| leaves | 0.39 | 0.13 | 0.13 | 0.3 | 0.3 | 0.29 |\n| marching | 0.74 | 0.75 | 0.75 | 0.74 | 0.74 | 0.75 |\n| matrix | 0.66 | 0.55 | 0.55 | 0.61 | 0.61 | 0.54 |\n| motocross1 | 0.47 | 0.42 | 0.42 | 0.42 | 0.39 | 0.39 |","| motocross2 | 0.45 | 0.42 | 0.42 | 0.49 | 0.48 | 0.54 |\n| --- | --- | --- | --- | --- | --- | --- |\n| nature | 0.46 | 0.3 | 0.3 | 0.32 | 0.29 | 0.32 |\n| octopus | 0.4 | 0.32 | 0.33 | 0.44 | 0.43 | 0.37 |\n| pedestrian1 | 0.73 | 0.68 | 0.72 | 0.7 | 0.69 | 0.68 |\n| pedestrian2 | 0.3 | 0.45 | 0.49 | 0.38 | 0.37 | 0.34 |\n| rabbit | 0.41 | 0.23 | 0.33 | 0.32 | 0.41 | 0.29 |\n| racing | 0.52 | 0.42 | 0.42 | 0.4 | 0.4 | 0.41 |\n| road | 0.58 | 0.58 | 0.57 | 0.62 | 0.64 | 0.67 |\n| shaking | 0.66 | 0.64 | 0.69 | 0.73 | 0.76 | 0.68 |\n| sheep | 0.49 | 0.5 | 0.5 | 0.5 | 0.52 | 0.53 |\n| singer1 | 0.6 | 0.65 | 0.68 | 0.61 | 0.57 | 0.41 |\n| singer2 | 0.69 | 0.65 | 0.6 | 0.54 | 0.66 | 0.64 |\n| singer3 | 0.4 | 0.23 | 0.25 | 0.16 | 0.15 | 0.15 |\n| soccer1 | 0.52 | 0.48 | 0.53 | 0.53 | 0.55 | 0.51 |\n| soccer2 | 0.56 | 0.6 | 0.57 | 0.57 | 0.57 | 0.57 |\n| soldier | 0.39 | 0.37 | 0.36 | 0.36 | 0.37 | 0.4 |\n| sphere | 0.49 | 0.46 | 0.44 | 0.41 | 0.39 | 0.41 |\n| tiger | 0.71 | 0.68 | 0.68 | 0.67 | 0.68 | 0.66 |\n| traffic | 0.79 | 0.79 | 0.8 | 0.8 | 0.76 | 0.73 |\n| tunnel | 0.52 | 0.67 | 0.68 | 0.43 | 0.41 | 0.38 |\n| wiper | 0.62 | 0.65 | 0.65 | 0.64 | 0.65 | 0.65 |\n| mean | 0.51 | 0.5 | 0.51 | 0.51 | 0.51 | 0.5 |\n|  |  |  |  |  |  |  |",1]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.45 | 0.45 | 0.45 | 0.41 | 0.37 | 0.31 |\n| ball1 | 0.8 | 0.8 | 0.8 | 0.81 | 0.8 | 0.8 |\n| ball2 | 0.44 | 0.31 | 0.38 | 0.3 | 0.47 | 0.45 |\n| basketball | 0.6 | 0.55 | 0.55 | 0.6 | 0.62 | 0.61 |\n| birds1 | 0.52 | 0.53 | 0.52 | 0.5 | 0.53 | 0.53 |\n| birds2 | 0.29 | 0.28 | 0.32 | 0.28 | 0.28 | 0.28 |\n| blanket | 0.58 | 0.61 | 0.61 | 0.64 | 0.62 | 0.61 |\n| bmx | 0.24 | 0.42 | 0.42 | 0.42 | 0.43 | 0.42 |\n| bolt1 | 0.52 | 0.66 | 0.67 | 0.67 | 0.68 | 0.68 |\n| bolt2 | 0.56 | 0.48 | 0.57 | 0.58 | 0.58 | 0.57 |\n| book | 0.41 | 0.39 | 0.38 | 0.39 | 0.37 | 0.46 |\n| butterfly | 0.45 | 0.4 | 0.4 | 0.41 | 0.4 | 0.41 |\n| car1 | 0.74 | 0.74 | 0.75 | 0.76 | 0.75 | 0.74 |\n| car2 | 0.77 | 0.73 | 0.74 | 0.75 | 0.77 | 0.78 |\n| crossing | 0.71 | 0.69 | 0.69 | 0.7 | 0.71 | 0.71 |\n| dinosaur | 0.41 | 0.29 | 0.28 | 0.32 | 0.32 | 0.43 |\n| fernando | 0.38 | 0.35 | 0.32 | 0.4 | 0.41 | 0.42 |\n| fish1 | 0.43 | 0.4 | 0.42 | 0.53 | 0.52 | 0.52 |\n| fish2 | 0.34 | 0.42 | 0.39 | 0.34 | 0.34 | 0.33 |\n| fish3 | 0.6 | 0.61 | 0.61 | 0.59 | 0.58 | 0.58 |\n| fish4 | 0.46 | 0.43 | 0.31 | 0.42 | 0.43 | 0.43 |\n| girl | 0.63 | 0.68 | 0.68 | 0.69 | 0.69 | 0.69 |\n| glove | 0.52 | 0.52 | 0.53 | 0.51 | 0.53 | 0.55 |\n| godfather | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 |\n| graduate | 0.38 | 0.47 | 0.48 | 0.49 | 0.46 | 0.47 |\n| gymnastics1 | 0.37 | 0.38 | 0.36 | 0.37 | 0.39 | 0.39 |\n| gymnastics2 | 0.5 | 0.5 | 0.49 | 0.52 | 0.5 | 0.5 |\n| gymnastics3 | 0.29 | 0.39 | 0.35 | 0.37 | 0.33 | 0.29 |\n| gymnastics4 | 0.5 | 0.44 | 0.43 | 0.42 | 0.43 | 0.44 |\n| hand | 0.43 | 0.4 | 0.38 | 0.42 | 0.41 | 0.44 |\n| handball1 | 0.6 | 0.57 | 0.6 | 0.62 | 0.62 | 0.57 |\n| handball2 | 0.46 | 0.49 | 0.52 | 0.52 | 0.54 | 0.44 |\n| helicopter | 0.38 | 0.51 | 0.51 | 0.49 | 0.47 | 0.47 |\n| iceskater1 | 0.51 | 0.52 | 0.52 | 0.56 | 0.56 | 0.54 |\n| iceskater2 | 0.58 | 0.53 | 0.53 | 0.53 | 0.55 | 0.54 |\n| leaves | 0.39 | 0.13 | 0.13 | 0.3 | 0.3 | 0.29 |\n| marching | 0.74 | 0.75 | 0.75 | 0.74 | 0.74 | 0.75 |\n| matrix | 0.66 | 0.55 | 0.55 | 0.61 | 0.61 | 0.54 |\n| motocross1 | 0.47 | 0.42 | 0.42 | 0.42 | 0.39 | 0.39 |","|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |\n| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |\n| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |\n| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |\n| blanket | 0 | 0 | 0 | 0 | 0 | 0 |\n| bmx | 1 | 0 | 0 | 0 | 0 | 0 |\n| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |\n| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |\n| book | 2 | 4 | 6 | 3 | 3.2 | 5 |\n| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |\n| car1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| car2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| crossing | 1 | 1 | 1 | 1 | 1 | 1 |\n| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |\n| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |\n| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |\n| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |\n| fish3 | 0 | 0 | 0 | 0 | 0 | 0 |\n| fish4 | 0 | 0 | 2 | 0.6 | 0.2 | 0 |\n| girl | 1 | 1 | 1 | 1 | 1 | 1 |\n| glove | 2 | 2 | 2 | 2 | 2 | 2 |\n| godfather | 0 | 0 | 0 | 0 | 0 | 0 |\n| graduate | 0 | 3 | 3.2 | 1.1 | 1.3 | 3 |\n| gymnastics1 | 1.67 | 1 | 2.9 | 2.3 | 5.2 | 5.1 |\n| gymnastics2 | 3 | 2 | 2 | 3 | 2 | 2 |\n| gymnastics3 | 1.53 | 3 | 2.9 | 2 | 3 | 3 |\n| gymnastics4 | 0 | 0 | 0 | 0 | 0 | 0 |\n| hand | 7 | 8 | 7 | 7 | 7 | 6 |\n| handball1 | 0 | 1 | 0 | 0 | 0 | 0 |\n| handball2 | 3.27 | 5 | 3.4 | 3 | 3 | 2.9 |\n| helicopter | 0 | 1 | 1 | 1 | 1 | 1 |\n| iceskater1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| iceskater2 | 0.8 | 2 | 2.2 | 1.4 | 1.2 | 1.3 |\n| leaves | 1 | 3 | 3 | 3 | 3 | 3 |\n| marching | 0 | 0 | 0 | 0 | 0 | 0 |\n| matrix | 1 | 2 | 2 | 2 | 2 | 1 |\n| motocross1 | 0.2 | 3 | 3 | 3 | 3 | 3 |\n| motocross2 | 0 | 1 | 0.8 | 0.3 | 0.9 | 0 |\n| nature | 1.93 | 4 | 4 | 4 | 4 | 4 |\n| octopus | 0 | 0 | 0 | 1 | 1 | 0 |\n| pedestrian1 | 1.87 | 2 | 1.2 | 1 | 1 | 2 |\n| pedestrian2 | 0 | 1 | 1 | 1 | 1 | 1 |\n| rabbit | 3 | 5 | 4 | 4.2 | 3 | 4.1 |\n| racing | 0 | 0 | 0 | 0 | 0 | 0 |\n| road | 0 | 0 | 0 | 0 | 0 | 0 |\n| shaking | 0 | 0 | 1 | 1 | 1 | 0 |\n| sheep | 0 | 0 | 0 | 0 | 0 | 0 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| singer2 | 0 | 1 | 1 | 2 | 1 | 1 |\n| singer3 | 1.93 | 0 | 0 | 1 | 1 | 1 |\n| soccer1 | 2.93 | 3 | 2 | 2 | 1 | 1 |\n| soccer2 | 2 | 5 | 2 | 4 | 4 | 2 |\n| soldier | 1 | 1 | 1 | 1 | 1 | 1 |\n| sphere | 0 | 0 | 0 | 0 | 0 | 0 |\n| tiger | 0 | 0 | 0 | 0 | 0 | 0 |\n| traffic | 0 | 0 | 0 | 0 | 0 | 0.2 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0 |\n| wiper | 0.4 | 0 | 0 | 0 | 0 | 0 |\n| mean | 0.93 | 1.38 | 1.38 | 1.3 | 1.28 | 1.28 |\n|  |  |  |  |  |  |  |",0]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.45 | 0.45 | 0.45 | 0.41 | 0.37 | 0.31 |\n| ball1 | 0.8 | 0.8 | 0.8 | 0.81 | 0.8 | 0.8 |\n| ball2 | 0.44 | 0.31 | 0.38 | 0.3 | 0.47 | 0.45 |\n| basketball | 0.6 | 0.55 | 0.55 | 0.6 | 0.62 | 0.61 |\n| birds1 | 0.52 | 0.53 | 0.52 | 0.5 | 0.53 | 0.53 |\n| birds2 | 0.29 | 0.28 | 0.32 | 0.28 | 0.28 | 0.28 |\n| blanket | 0.58 | 0.61 | 0.61 | 0.64 | 0.62 | 0.61 |\n| bmx | 0.24 | 0.42 | 0.42 | 0.42 | 0.43 | 0.42 |\n| bolt1 | 0.52 | 0.66 | 0.67 | 0.67 | 0.68 | 0.68 |\n| bolt2 | 0.56 | 0.48 | 0.57 | 0.58 | 0.58 | 0.57 |\n| book | 0.41 | 0.39 | 0.38 | 0.39 | 0.37 | 0.46 |\n| butterfly | 0.45 | 0.4 | 0.4 | 0.41 | 0.4 | 0.41 |\n| car1 | 0.74 | 0.74 | 0.75 | 0.76 | 0.75 | 0.74 |\n| car2 | 0.77 | 0.73 | 0.74 | 0.75 | 0.77 | 0.78 |\n| crossing | 0.71 | 0.69 | 0.69 | 0.7 | 0.71 | 0.71 |\n| dinosaur | 0.41 | 0.29 | 0.28 | 0.32 | 0.32 | 0.43 |\n| fernando | 0.38 | 0.35 | 0.32 | 0.4 | 0.41 | 0.42 |\n| fish1 | 0.43 | 0.4 | 0.42 | 0.53 | 0.52 | 0.52 |\n| fish2 | 0.34 | 0.42 | 0.39 | 0.34 | 0.34 | 0.33 |\n| fish3 | 0.6 | 0.61 | 0.61 | 0.59 | 0.58 | 0.58 |\n| fish4 | 0.46 | 0.43 | 0.31 | 0.42 | 0.43 | 0.43 |\n| girl | 0.63 | 0.68 | 0.68 | 0.69 | 0.69 | 0.69 |\n| glove | 0.52 | 0.52 | 0.53 | 0.51 | 0.53 | 0.55 |\n| godfather | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 |\n| graduate | 0.38 | 0.47 | 0.48 | 0.49 | 0.46 | 0.47 |\n| gymnastics1 | 0.37 | 0.38 | 0.36 | 0.37 | 0.39 | 0.39 |\n| gymnastics2 | 0.5 | 0.5 | 0.49 | 0.52 | 0.5 | 0.5 |\n| gymnastics3 | 0.29 | 0.39 | 0.35 | 0.37 | 0.33 | 0.29 |\n| gymnastics4 | 0.5 | 0.44 | 0.43 | 0.42 | 0.43 | 0.44 |\n| hand | 0.43 | 0.4 | 0.38 | 0.42 | 0.41 | 0.44 |\n| handball1 | 0.6 | 0.57 | 0.6 | 0.62 | 0.62 | 0.57 |\n| handball2 | 0.46 | 0.49 | 0.52 | 0.52 | 0.54 | 0.44 |\n| helicopter | 0.38 | 0.51 | 0.51 | 0.49 | 0.47 | 0.47 |\n| iceskater1 | 0.51 | 0.52 | 0.52 | 0.56 | 0.56 | 0.54 |\n| iceskater2 | 0.58 | 0.53 | 0.53 | 0.53 | 0.55 | 0.54 |\n| leaves | 0.39 | 0.13 | 0.13 | 0.3 | 0.3 | 0.29 |\n| marching | 0.74 | 0.75 | 0.75 | 0.74 | 0.74 | 0.75 |\n| matrix | 0.66 | 0.55 | 0.55 | 0.61 | 0.61 | 0.54 |\n| motocross1 | 0.47 | 0.42 | 0.42 | 0.42 | 0.39 | 0.39 |\n| motocross2 | 0.45 | 0.42 | 0.42 | 0.49 | 0.48 | 0.54 |\n| nature | 0.46 | 0.3 | 0.3 | 0.32 | 0.29 | 0.32 |\n| octopus | 0.4 | 0.32 | 0.33 | 0.44 | 0.43 | 0.37 |\n| pedestrian1 | 0.73 | 0.68 | 0.72 | 0.7 | 0.69 | 0.68 |","| pedestrian2 | 0.3 | 0.45 | 0.49 | 0.38 | 0.37 | 0.34 |\n| --- | --- | --- | --- | --- | --- | --- |\n| rabbit | 0.41 | 0.23 | 0.33 | 0.32 | 0.41 | 0.29 |\n| racing | 0.52 | 0.42 | 0.42 | 0.4 | 0.4 | 0.41 |\n| road | 0.58 | 0.58 | 0.57 | 0.62 | 0.64 | 0.67 |\n| shaking | 0.66 | 0.64 | 0.69 | 0.73 | 0.76 | 0.68 |\n| sheep | 0.49 | 0.5 | 0.5 | 0.5 | 0.52 | 0.53 |\n| singer1 | 0.6 | 0.65 | 0.68 | 0.61 | 0.57 | 0.41 |\n| singer2 | 0.69 | 0.65 | 0.6 | 0.54 | 0.66 | 0.64 |\n| singer3 | 0.4 | 0.23 | 0.25 | 0.16 | 0.15 | 0.15 |\n| soccer1 | 0.52 | 0.48 | 0.53 | 0.53 | 0.55 | 0.51 |\n| soccer2 | 0.56 | 0.6 | 0.57 | 0.57 | 0.57 | 0.57 |\n| soldier | 0.39 | 0.37 | 0.36 | 0.36 | 0.37 | 0.4 |\n| sphere | 0.49 | 0.46 | 0.44 | 0.41 | 0.39 | 0.41 |\n| tiger | 0.71 | 0.68 | 0.68 | 0.67 | 0.68 | 0.66 |\n| traffic | 0.79 | 0.79 | 0.8 | 0.8 | 0.76 | 0.73 |\n| tunnel | 0.52 | 0.67 | 0.68 | 0.43 | 0.41 | 0.38 |\n| wiper | 0.62 | 0.65 | 0.65 | 0.64 | 0.65 | 0.65 |\n| mean | 0.51 | 0.5 | 0.51 | 0.51 | 0.51 | 0.5 |\n|  |  |  |  |  |  |  |",1]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.45 | 0.45 | 0.45 | 0.41 | 0.37 | 0.31 |\n| ball1 | 0.8 | 0.8 | 0.8 | 0.81 | 0.8 | 0.8 |\n| ball2 | 0.44 | 0.31 | 0.38 | 0.3 | 0.47 | 0.45 |\n| basketball | 0.6 | 0.55 | 0.55 | 0.6 | 0.62 | 0.61 |\n| birds1 | 0.52 | 0.53 | 0.52 | 0.5 | 0.53 | 0.53 |\n| birds2 | 0.29 | 0.28 | 0.32 | 0.28 | 0.28 | 0.28 |\n| blanket | 0.58 | 0.61 | 0.61 | 0.64 | 0.62 | 0.61 |\n| bmx | 0.24 | 0.42 | 0.42 | 0.42 | 0.43 | 0.42 |\n| bolt1 | 0.52 | 0.66 | 0.67 | 0.67 | 0.68 | 0.68 |\n| bolt2 | 0.56 | 0.48 | 0.57 | 0.58 | 0.58 | 0.57 |\n| book | 0.41 | 0.39 | 0.38 | 0.39 | 0.37 | 0.46 |\n| butterfly | 0.45 | 0.4 | 0.4 | 0.41 | 0.4 | 0.41 |\n| car1 | 0.74 | 0.74 | 0.75 | 0.76 | 0.75 | 0.74 |\n| car2 | 0.77 | 0.73 | 0.74 | 0.75 | 0.77 | 0.78 |\n| crossing | 0.71 | 0.69 | 0.69 | 0.7 | 0.71 | 0.71 |\n| dinosaur | 0.41 | 0.29 | 0.28 | 0.32 | 0.32 | 0.43 |\n| fernando | 0.38 | 0.35 | 0.32 | 0.4 | 0.41 | 0.42 |\n| fish1 | 0.43 | 0.4 | 0.42 | 0.53 | 0.52 | 0.52 |\n| fish2 | 0.34 | 0.42 | 0.39 | 0.34 | 0.34 | 0.33 |\n| fish3 | 0.6 | 0.61 | 0.61 | 0.59 | 0.58 | 0.58 |\n| fish4 | 0.46 | 0.43 | 0.31 | 0.42 | 0.43 | 0.43 |\n| girl | 0.63 | 0.68 | 0.68 | 0.69 | 0.69 | 0.69 |\n| glove | 0.52 | 0.52 | 0.53 | 0.51 | 0.53 | 0.55 |\n| godfather | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 |\n| graduate | 0.38 | 0.47 | 0.48 | 0.49 | 0.46 | 0.47 |\n| gymnastics1 | 0.37 | 0.38 | 0.36 | 0.37 | 0.39 | 0.39 |\n| gymnastics2 | 0.5 | 0.5 | 0.49 | 0.52 | 0.5 | 0.5 |\n| gymnastics3 | 0.29 | 0.39 | 0.35 | 0.37 | 0.33 | 0.29 |\n| gymnastics4 | 0.5 | 0.44 | 0.43 | 0.42 | 0.43 | 0.44 |\n| hand | 0.43 | 0.4 | 0.38 | 0.42 | 0.41 | 0.44 |\n| handball1 | 0.6 | 0.57 | 0.6 | 0.62 | 0.62 | 0.57 |\n| handball2 | 0.46 | 0.49 | 0.52 | 0.52 | 0.54 | 0.44 |\n| helicopter | 0.38 | 0.51 | 0.51 | 0.49 | 0.47 | 0.47 |\n| iceskater1 | 0.51 | 0.52 | 0.52 | 0.56 | 0.56 | 0.54 |\n| iceskater2 | 0.58 | 0.53 | 0.53 | 0.53 | 0.55 | 0.54 |\n| leaves | 0.39 | 0.13 | 0.13 | 0.3 | 0.3 | 0.29 |\n| marching | 0.74 | 0.75 | 0.75 | 0.74 | 0.74 | 0.75 |\n| matrix | 0.66 | 0.55 | 0.55 | 0.61 | 0.61 | 0.54 |\n| motocross1 | 0.47 | 0.42 | 0.42 | 0.42 | 0.39 | 0.39 |\n| motocross2 | 0.45 | 0.42 | 0.42 | 0.49 | 0.48 | 0.54 |\n| nature | 0.46 | 0.3 | 0.3 | 0.32 | 0.29 | 0.32 |\n| octopus | 0.4 | 0.32 | 0.33 | 0.44 | 0.43 | 0.37 |\n| pedestrian1 | 0.73 | 0.68 | 0.72 | 0.7 | 0.69 | 0.68 |","| soccer1 | 2.93 | 3 | 2 | 2 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| soccer2 | 2 | 5 | 2 | 4 | 4 | 2 |\n| soldier | 1 | 1 | 1 | 1 | 1 | 1 |\n| sphere | 0 | 0 | 0 | 0 | 0 | 0 |\n| tiger | 0 | 0 | 0 | 0 | 0 | 0 |\n| traffic | 0 | 0 | 0 | 0 | 0 | 0.2 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0 |\n| wiper | 0.4 | 0 | 0 | 0 | 0 | 0 |\n| mean | 0.93 | 1.38 | 1.38 | 1.3 | 1.28 | 1.28 |\n|  |  |  |  |  |  |  |",0]
["| Method | r | b | Total |\n| --- | --- | --- | --- |\n| VoronoiLSH(T=64) | 6 | 15 | 90 |","| CrossPolytope(T=64) | 6 | 18 | 108 |\n| --- | --- | --- | --- |\n| Hyperplane(T=6) | 5 | 22 | 110 |\n| FeatureHashing(T=64,k=1) | 7 | 16 | 112 |\n| FastCrossPolytope(T=64) | 6 | 15 | 90 |\n| DirectionalFeatureHashing(T=6) | 5 | 20 | 100 |",1]
["| Method | r | b | Total |\n| --- | --- | --- | --- |\n| VoronoiLSH(T=64) | 6 | 15 | 90 |","| Methods | mAP |\n| --- | --- |\n| Fast-RCNN+SRBBS | 55.7 |\n| Fast-RCNN+SRBBS+RBB | 69.6 |\n| Fast-RCNN+SRBBS+RBB+RRoI | 75.7 |\n| RRD(Ours) | 84.3 |",0]
["| Method | r | b | Total |\n| --- | --- | --- | --- |\n| VoronoiLSH(T=64) | 6 | 15 | 90 |","| CrossPolytope(T=64) | 6 | 18 | 108 |\n| --- | --- | --- | --- |\n| Hyperplane(T=6) | 5 | 22 | 110 |\n| FeatureHashing(T=64,k=1) | 7 | 16 | 112 |\n| FastCrossPolytope(T=64) | 6 | 15 | 90 |\n| DirectionalFeatureHashing(T=6) | 5 | 20 | 100 |",1]
["| Method | r | b | Total |\n| --- | --- | --- | --- |\n| VoronoiLSH(T=64) | 6 | 15 | 90 |","| Fast-RCNN+SRBBS+RBB+RRoI | 75.7 |\n| --- | --- |\n| RRD(Ours) | 84.3 |",0]
["| Ck | thek-thcluster |\n| --- | --- |\n| x | thepositionincanonicalframeforanodeofclusterCk |\n| y | thepositioninliveframetforanodeinclusterCk |\n| ck | thecentroidpositionofclusterCincanonicalframek |\n| c | thecentroidpositionofclusterCinliveframetk |\n| nk | thenumberofnodesbelongingtoclusterCincanonicalframek |","| A(C)k | thecrosscovariancematrixofclusterCk |\n| --- | --- |\n| (R,t) | rotationandtranslationofclusterCk |\n| (R,t) | optimalrotationandtranslationofclusterCk |\n| σkq | theq-thsingularvalueofA(C)k |",1]
["| Ck | thek-thcluster |\n| --- | --- |\n| x | thepositionincanonicalframeforanodeofclusterCk |\n| y | thepositioninliveframetforanodeinclusterCk |\n| ck | thecentroidpositionofclusterCincanonicalframek |\n| c | thecentroidpositionofclusterCinliveframetk |\n| nk | thenumberofnodesbelongingtoclusterCincanonicalframek |","| Abbreviation | Histogramofwhichplane |\n| --- | --- |\n| LBP-TOP | XY+XT+YT |\n| LBP-XYOT | XT+YT |\n| LBP-XOT | XT |\n| LBP-YOT | YT |\n| LBP | XY |",0]
["| Ck | thek-thcluster |\n| --- | --- |\n| x | thepositionincanonicalframeforanodeofclusterCk |\n| y | thepositioninliveframetforanodeinclusterCk |\n| ck | thecentroidpositionofclusterCincanonicalframek |\n| c | thecentroidpositionofclusterCinliveframetk |\n| nk | thenumberofnodesbelongingtoclusterCincanonicalframek |","| A(C)k | thecrosscovariancematrixofclusterCk |\n| --- | --- |\n| (R,t) | rotationandtranslationofclusterCk |\n| (R,t) | optimalrotationandtranslationofclusterCk |\n| σkq | theq-thsingularvalueofA(C)k |",1]
["| Ck | thek-thcluster |\n| --- | --- |\n| x | thepositionincanonicalframeforanodeofclusterCk |\n| y | thepositioninliveframetforanodeinclusterCk |\n| ck | thecentroidpositionofclusterCincanonicalframek |\n| c | thecentroidpositionofclusterCinliveframetk |\n| nk | thenumberofnodesbelongingtoclusterCincanonicalframek |","| LBP-XOT | XT |\n| --- | --- |\n| LBP-YOT | YT |\n| LBP | XY |",0]
["|  | RFA/K-means | MSA/MRA | Relion | EMAN2 | Xmipp | ASPIRE |\n| --- | --- | --- | --- | --- | --- | --- |\n| SNR=1/50 | 0.45 | 0.97 | 0.79 | 0.74 | 0.83 | 1.00 |\n| SNR=1/100 | 0.09 | 0.87 | 0.70 | 0.45 | 0.68 | 0.99 |","| SNR=1/150 | 0.07 | 0.67 | 0.52 | 0.13 | 0.48 | 0.90 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Timing(hrs) | 1.5 | 7.5 | 16 | 12 | 42 | 0.5 |",1]
["|  | RFA/K-means | MSA/MRA | Relion | EMAN2 | Xmipp | ASPIRE |\n| --- | --- | --- | --- | --- | --- | --- |\n| SNR=1/50 | 0.45 | 0.97 | 0.79 | 0.74 | 0.83 | 1.00 |\n| SNR=1/100 | 0.09 | 0.87 | 0.70 | 0.45 | 0.68 | 0.99 |","|  | noFBsPCAdenoising | FBsPCAdenoising |\n| --- | --- | --- |\n| RFA/K-means | 0.09 | 0.48 |\n| MSA/MRA | 0.87 | 0.95 |\n| EMAN2 | 0.45 | 0.76 |\n| Xmipp | 0.68 | 0.96 |",0]
["|  | RFA/K-means | MSA/MRA | Relion | EMAN2 | Xmipp | ASPIRE |\n| --- | --- | --- | --- | --- | --- | --- |\n| SNR=1/50 | 0.45 | 0.97 | 0.79 | 0.74 | 0.83 | 1.00 |\n| SNR=1/100 | 0.09 | 0.87 | 0.70 | 0.45 | 0.68 | 0.99 |","| SNR=1/150 | 0.07 | 0.67 | 0.52 | 0.13 | 0.48 | 0.90 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Timing(hrs) | 1.5 | 7.5 | 16 | 12 | 42 | 0.5 |",1]
["|  | RFA/K-means | MSA/MRA | Relion | EMAN2 | Xmipp | ASPIRE |\n| --- | --- | --- | --- | --- | --- | --- |\n| SNR=1/50 | 0.45 | 0.97 | 0.79 | 0.74 | 0.83 | 1.00 |\n| SNR=1/100 | 0.09 | 0.87 | 0.70 | 0.45 | 0.68 | 0.99 |","| EMAN2 | 0.45 | 0.76 |\n| --- | --- | --- |\n| Xmipp | 0.68 | 0.96 |",0]
["|  |  | 1987-1995 | 2006-2008 |\n| --- | --- | --- | --- |\n| Books | diﬀerent | 1984 | 2103 |","| conﬂict | 2528 | 2776 |  |\n| --- | --- | --- | --- |\n| Newspaper | diﬀerent | 1146 | 1661 |\n| conﬂict | 2368 | 3092 |  |",1]
["|  |  | 1987-1995 | 2006-2008 |\n| --- | --- | --- | --- |\n| Books | diﬀerent | 1984 | 2103 |","| Papers | Year |\n| --- | --- |\n|  | 2005 |\n|  | 2006 |\n|  | 2007 |\n|  | 2008 |\n|  | 2010 |\n|  | 2011 |\n|  | 2012 |\n|  | 2013 |\n|  | 2014 |\n|  | 2015 |\n|  | 2016 |\n|  | 2017 |",0]
["|  |  | 1987-1995 | 2006-2008 |\n| --- | --- | --- | --- |\n| Books | diﬀerent | 1984 | 2103 |","| conﬂict | 2528 | 2776 |  |\n| --- | --- | --- | --- |\n| Newspaper | diﬀerent | 1146 | 1661 |\n| conﬂict | 2368 | 3092 |  |",1]
["|  |  | 1987-1995 | 2006-2008 |\n| --- | --- | --- | --- |\n| Books | diﬀerent | 1984 | 2103 |","|  | 2016 |\n| --- | --- |\n|  | 2017 |",0]
["| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=”relu”,padding=”same”) |\n| --- |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |","| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| --- |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| Dense(1024,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(512,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(1,activation=None) |",1]
["| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=”relu”,padding=”same”) |\n| --- |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |","| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=5,strides=2,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| Dense(128,activation=“relu”) |\n| Dense(64,activation=“relu”) |\n| Dense(1,activation=None) |",0]
["| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=”relu”,padding=”same”) |\n| --- |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |","| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| --- |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=512,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| Dense(1024,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(512,activation=“relu”) |\n| Dropout(0.5) |\n| Dense(1,activation=None) |",1]
["| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=”relu”,padding=”same”) |\n| --- |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=64,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=128,kernelsize=3,activation=“relu”,padding=“same”) |\n| MaxPooling(poolsize=(2,2),strides=(2,2)) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |\n| 2DConvolutional(ﬁlters=256,kernelsize=3,activation=“relu”,padding=“same”) |","| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| --- |\n| 3DConvolutional(ﬁlters=32,kernelsize=3,strides=1,activation=”relu”) |\n| MaxPooling3D(poolsize=(2,2),strides=(1,1)) |\n| Dense(128,activation=“relu”) |\n| Dense(64,activation=“relu”) |\n| Dense(1,activation=None) |",0]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 191520 |\n| 10 | 42058800 |\n| 11 | 7864256400 |\n| 12 | 1407126890400 |\n| 13 | 257752421166240 |\n| 14 | 50607986220311520 |\n| 15 | 10995419195575214400 |\n| 16 | 2692773804667509763200 |","| 17 | 747221542837742897724800 |\n| --- | --- |\n| 18 | 233698171655650029030743040 |\n| 19 | 81472765051132560093387934080 |\n| 20 | 31268587126068905034073041062400 |",1]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 191520 |\n| 10 | 42058800 |\n| 11 | 7864256400 |\n| 12 | 1407126890400 |\n| 13 | 257752421166240 |\n| 14 | 50607986220311520 |\n| 15 | 10995419195575214400 |\n| 16 | 2692773804667509763200 |","| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 5040 |\n| 10 | 957600 |\n| 11 | 123354000 |\n| 12 | 16842764400 |\n| 13 | 2764379217600 |\n| 14 | 527554510282800 |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |\n| 18 | 2167306256125914230527200 |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",0]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 191520 |\n| 10 | 42058800 |\n| 11 | 7864256400 |\n| 12 | 1407126890400 |\n| 13 | 257752421166240 |\n| 14 | 50607986220311520 |\n| 15 | 10995419195575214400 |","| 16 | 2692773804667509763200 |\n| --- | --- |\n| 17 | 747221542837742897724800 |\n| 18 | 233698171655650029030743040 |\n| 19 | 81472765051132560093387934080 |\n| 20 | 31268587126068905034073041062400 |",1]
["| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 191520 |\n| 10 | 42058800 |\n| 11 | 7864256400 |\n| 12 | 1407126890400 |\n| 13 | 257752421166240 |\n| 14 | 50607986220311520 |\n| 15 | 10995419195575214400 |","| 14 | 527554510282800 |\n| --- | --- |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |\n| 18 | 2167306256125914230527200 |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",0]
["| Method | NumberofPaths | RunningTime(ms) |\n| --- | --- | --- |\n| ILP | 2.0069 | 7.2133 |\n| RSG | 2.0160 | 2.0167 |","| RR | 2.0482 | 0.0272 |\n| --- | --- | --- |\n| MSPG | 2.2241 | 0.1911 |\n| EPS | 2.551 | 1.6000 |",1]
["| Method | NumberofPaths | RunningTime(ms) |\n| --- | --- | --- |\n| ILP | 2.0069 | 7.2133 |\n| RSG | 2.0160 | 2.0167 |","| method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |\n| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |\n| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |\n| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",0]
["| Method | NumberofPaths | RunningTime(ms) |\n| --- | --- | --- |\n| ILP | 2.0069 | 7.2133 |","| RSG | 2.0160 | 2.0167 |\n| --- | --- | --- |\n| RR | 2.0482 | 0.0272 |\n| MSPG | 2.2241 | 0.1911 |\n| EPS | 2.551 | 1.6000 |",1]
["| Method | NumberofPaths | RunningTime(ms) |\n| --- | --- | --- |\n| ILP | 2.0069 | 7.2133 |","| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |\n| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",0]
["| FeatureType | datasetI | datasetII |\n| --- | --- | --- |\n| Extension | .url | .xls |\n| Extension | .properties | .txt |\n| Extension | .mdm | .html |\n| Extension | .pas | .net |\n| FileSize | - | - |\n| BytesUsed | - | - |","| Lastaccesstimediﬀ | - | - |\n| --- | --- | --- |\n| Changetimediﬀ | - | - |\n| Lastmodiﬁedtimediﬀ | - | - |\n| Text | “feature” | “username” |",1]
["| FeatureType | datasetI | datasetII |\n| --- | --- | --- |\n| Extension | .url | .xls |\n| Extension | .properties | .txt |\n| Extension | .mdm | .html |\n| Extension | .pas | .net |\n| FileSize | - | - |\n| BytesUsed | - | - |","| Featurecategory | datasetI | datasetII |\n| --- | --- | --- |\n| Filename | 29736 | 14861 |\n| Filepath | 788 | 315 |\n| Fileextensions | 1170 | 316 |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Totalfeaturesize | 31699 | 15497 |",0]
["| FeatureType | datasetI | datasetII |\n| --- | --- | --- |\n| Extension | .url | .xls |\n| Extension | .properties | .txt |\n| Extension | .mdm | .html |\n| Extension | .pas | .net |\n| FileSize | - | - |\n| BytesUsed | - | - |\n| Lastaccesstimediﬀ | - | - |","| Changetimediﬀ | - | - |\n| --- | --- | --- |\n| Lastmodiﬁedtimediﬀ | - | - |\n| Text | “feature” | “username” |",1]
["| FeatureType | datasetI | datasetII |\n| --- | --- | --- |\n| Extension | .url | .xls |\n| Extension | .properties | .txt |\n| Extension | .mdm | .html |\n| Extension | .pas | .net |\n| FileSize | - | - |\n| BytesUsed | - | - |\n| Lastaccesstimediﬀ | - | - |","| Fileextensions | 1170 | 316 |\n| --- | --- | --- |\n| Filesizerelated | 2 | 2 |\n| Timerelated | 3 | 3 |\n| Totalfeaturesize | 31699 | 15497 |",0]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.8029±0.1497 | 0.9075±0.0596 | 0.8383±0.0660 |\n| OCGP | 0.9700±0.0222 | 0.7308±0.0812 | 0.8302±0.0450 |  |\n| OCSVM | 0.6590±0.0100 | 0.9404±0.0017 | 0.7749±0.0068 |  |","| OCAN | 0.9755±0.0110 | 0.7416±0.0498 | 0.8416±0.0330 |  |\n| --- | --- | --- | --- | --- |\n| Transactionrepresentation | OCNN | 0.7058±0.1396 | 0.9390±0.0786 | 0.7910±0.0608 |\n| OCGP | 0.8813±0.1177 | 0.8566±0.0822 | 0.8576±0.0417 |  |\n| OCSVM | 0.6547±0.0151 | 0.9509±0.0101 | 0.7755±0.0127 |  |\n| OCAN | 0.9067±0.0614 | 0.8320±0.0319 | 0.8656±0.0220 |  |",1]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.8029±0.1497 | 0.9075±0.0596 | 0.8383±0.0660 |\n| OCGP | 0.9700±0.0222 | 0.7308±0.0812 | 0.8302±0.0450 |  |\n| OCSVM | 0.6590±0.0100 | 0.9404±0.0017 | 0.7749±0.0068 |  |","| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.5680±0.0129 | 0.8646±0.0599 | 0.6845±0.0184 |\n| OCGP | 0.5767±0.0087 | 0.9000±0.0560 | 0.7023±0.0193 |  |\n| OCSVM | 0.6631±0.0057 | 0.9829±0.0011 | 0.7919±0.0040 |  |\n| Userrepresentation | OCNN | 0.8314±0.0351 | 0.8028±0.0476 | 0.8150±0.0163 |\n| OCGP | 0.8381±,0.0225 | 0.8289±0.0374 | 0.8326±0.0158 |  |\n| OCSVM | 0.6558±0.0058 | 0.9590±0.0096 | 0.7789±0.0064 |  |\n| OCAN | 0.9067±0.0615 | 0.9292±0.0348 | 0.9010±0.0228 |  |\n| Userrepresentation | OCAN-r | 0.8673±0.0355 | 0.8759±0.0529 | 0.8701±0.0267 |",0]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.8029±0.1497 | 0.9075±0.0596 | 0.8383±0.0660 |","| OCGP | 0.9700±0.0222 | 0.7308±0.0812 | 0.8302±0.0450 |  |\n| --- | --- | --- | --- | --- |\n| OCSVM | 0.6590±0.0100 | 0.9404±0.0017 | 0.7749±0.0068 |  |\n| OCAN | 0.9755±0.0110 | 0.7416±0.0498 | 0.8416±0.0330 |  |\n| Transactionrepresentation | OCNN | 0.7058±0.1396 | 0.9390±0.0786 | 0.7910±0.0608 |\n| OCGP | 0.8813±0.1177 | 0.8566±0.0822 | 0.8576±0.0417 |  |\n| OCSVM | 0.6547±0.0151 | 0.9509±0.0101 | 0.7755±0.0127 |  |\n| OCAN | 0.9067±0.0614 | 0.8320±0.0319 | 0.8656±0.0220 |  |",1]
["| Input | Algorithm | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Rawfeaturevector | OCNN | 0.8029±0.1497 | 0.9075±0.0596 | 0.8383±0.0660 |","| Userrepresentation | OCNN | 0.8314±0.0351 | 0.8028±0.0476 | 0.8150±0.0163 |\n| --- | --- | --- | --- | --- |\n| OCGP | 0.8381±,0.0225 | 0.8289±0.0374 | 0.8326±0.0158 |  |\n| OCSVM | 0.6558±0.0058 | 0.9590±0.0096 | 0.7789±0.0064 |  |\n| OCAN | 0.9067±0.0615 | 0.9292±0.0348 | 0.9010±0.0228 |  |\n| Userrepresentation | OCAN-r | 0.8673±0.0355 | 0.8759±0.0529 | 0.8701±0.0267 |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0006±0.0000 | 184.2852 | 188 | - |\n| GKKM | 0.0064±0.0000 | 17.0144 | 13 | 0.7982 |","| M=5,µ=0.2500,σ=0.09160 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.0155±0.0002<br>0.0129±0.0001 | 13.5109<br>15.9691 | 9<br>9 | 0.2454<br>0.2454 |\n| M=30,µ=0.0345,σ=0.01740 |  |  |  |  |\n| CCBS<br>GCBS | 0.0101±0.0001<br>0.0102±0.0001 | 26.1530<br>26.1337 | 36<br>35 | 0.0336<br>0.0341 |\n| M=50,µ=0.0204,σ=0.01130 |  |  |  |  |\n| CCBS<br>GCBS | 0.0099±0.0001<br>0.0092±0.0001 | 38.1907<br>19.4064 | 49<br>49 | 0.0199<br>0.0202 |\n| M=70,µ=0.0145,σ=0.00870 |  |  |  |  |\n| CCBS<br>GCBS | 0.0089±0.0001<br>0.0089±0.0001 | 24.5304<br>26.5687 | 61<br>61 | 0.0141<br>0.0130 |\n| M=120,µ=0.0084,σ=0.00590 |  |  |  |  |\n| CCBS<br>GCBS | 0.0079±0.0000<br>0.0077±0.0000 | 42.4282<br>62.1598 | 84<br>84 | 0.0084<br>0.0084 |\n| M=150,µ=0.0067,σ=0.00510 |  |  |  |  |\n| CCBS<br>GCBS | 0.0074±0.0000<br>0.0076±0.0000 | 55.4628<br>56.0754 | 93<br>92 | 0.0067<br>0.0067 |\n| M=188,µ=0.0053,σ=0.00440 |  |  |  |  |\n| CCBS<br>GCBS | 0.0076±0.0000<br>0.0075±0.0000 | 54.0429<br>56.0656 | 98<br>97 | 0.0043<br>0.0047 |\n| M=500,µ=0.0020,σ=0.00260 |  |  |  |  |\n| CCBS<br>GCBS | 0.0067±0.0000<br>0.0068±0.0000 | 95.6673<br>93.1751 | 122<br>122 | 0.0017<br>0.0016 |\n| M=1000,µ=0.0010,σ=0.00190 |  |  |  |  |\n| CCBS<br>GCBS | 0.0067±0.0000<br>0.0067±0.0000 | 87.0426<br>96.7277 | 131<br>131 | 0.0009<br>0.0009 |\n| M=2000,µ=0.0005,σ=0.00150 |  |  |  |  |\n| CCBS<br>GCBS | 0.0063±0.0000<br>0.0063±0.0000 | 107.6217<br>98.2356 | 137<br>137 | 0.0004<br>0.0004 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0006±0.0000 | 184.2852 | 188 | - |\n| GKKM | 0.0064±0.0000 | 17.0144 | 13 | 0.7982 |","| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1320±0.0161 | 0.3034 | 211 | - |\n| GKKM | 0.1325±0.0150 | 1.8930 | 15 | 0.7694 |\n| M=5,µ=0.2500,σ=0.10840 |  |  |  |  |\n| CCBS<br>GCBS | 0.1358±0.0154<br>0.1585±0.0229 | 0.0550<br>0.0227 | 7<br>5 | 0.2441<br>0.2212 |\n| M=10,µ=0.1111,σ=0.05890 |  |  |  |  |\n| CCBS<br>GCBS | 0.1224±0.0125<br>0.1323±0.0158 | 0.0740<br>0.0172 | 14<br>12 | 0.1110<br>0.1076 |\n| M=20,µ=0.0526,σ=0.03410 |  |  |  |  |\n| CCBS<br>GCBS | 0.1132±0.0118<br>0.1179±0.0131 | 0.0731<br>0.0204 | 22<br>20 | 0.0506<br>0.0491 |\n| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0006±0.0000 | 184.2852 | 188 | - |\n| GKKM | 0.0064±0.0000 | 17.0144 | 13 | 0.7982 |\n| M=5,µ=0.2500,σ=0.09160 |  |  |  |  |\n| CCBS<br>GCBS | 0.0155±0.0002<br>0.0129±0.0001 | 13.5109<br>15.9691 | 9<br>9 | 0.2454<br>0.2454 |\n| M=30,µ=0.0345,σ=0.01740 |  |  |  |  |","| CCBS<br>GCBS | 0.0101±0.0001<br>0.0102±0.0001 | 26.1530<br>26.1337 | 36<br>35 | 0.0336<br>0.0341 |\n| --- | --- | --- | --- | --- |\n| M=50,µ=0.0204,σ=0.01130 |  |  |  |  |\n| CCBS<br>GCBS | 0.0099±0.0001<br>0.0092±0.0001 | 38.1907<br>19.4064 | 49<br>49 | 0.0199<br>0.0202 |\n| M=70,µ=0.0145,σ=0.00870 |  |  |  |  |\n| CCBS<br>GCBS | 0.0089±0.0001<br>0.0089±0.0001 | 24.5304<br>26.5687 | 61<br>61 | 0.0141<br>0.0130 |\n| M=120,µ=0.0084,σ=0.00590 |  |  |  |  |\n| CCBS<br>GCBS | 0.0079±0.0000<br>0.0077±0.0000 | 42.4282<br>62.1598 | 84<br>84 | 0.0084<br>0.0084 |\n| M=150,µ=0.0067,σ=0.00510 |  |  |  |  |\n| CCBS<br>GCBS | 0.0074±0.0000<br>0.0076±0.0000 | 55.4628<br>56.0754 | 93<br>92 | 0.0067<br>0.0067 |\n| M=188,µ=0.0053,σ=0.00440 |  |  |  |  |\n| CCBS<br>GCBS | 0.0076±0.0000<br>0.0075±0.0000 | 54.0429<br>56.0656 | 98<br>97 | 0.0043<br>0.0047 |\n| M=500,µ=0.0020,σ=0.00260 |  |  |  |  |\n| CCBS<br>GCBS | 0.0067±0.0000<br>0.0068±0.0000 | 95.6673<br>93.1751 | 122<br>122 | 0.0017<br>0.0016 |\n| M=1000,µ=0.0010,σ=0.00190 |  |  |  |  |\n| CCBS<br>GCBS | 0.0067±0.0000<br>0.0067±0.0000 | 87.0426<br>96.7277 | 131<br>131 | 0.0009<br>0.0009 |\n| M=2000,µ=0.0005,σ=0.00150 |  |  |  |  |\n| CCBS<br>GCBS | 0.0063±0.0000<br>0.0063±0.0000 | 107.6217<br>98.2356 | 137<br>137 | 0.0004<br>0.0004 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0006±0.0000 | 184.2852 | 188 | - |\n| GKKM | 0.0064±0.0000 | 17.0144 | 13 | 0.7982 |\n| M=5,µ=0.2500,σ=0.09160 |  |  |  |  |\n| CCBS<br>GCBS | 0.0155±0.0002<br>0.0129±0.0001 | 13.5109<br>15.9691 | 9<br>9 | 0.2454<br>0.2454 |\n| M=30,µ=0.0345,σ=0.01740 |  |  |  |  |","| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",0]
["| semantic | symbol | defaultvalue |\n| --- | --- | --- |\n| numberofnodes | n | 300sensors |\n| communicationradius | dtrx | 100meters |\n| sensingradius | ddtx | 25meters |","| targetspeed | detectionradius | 6km/h |\n| --- | --- | --- |\n| messagepropagationfrequency | freq | 1MSG/second |\n| networkdensity | dens | 10/(100·3.14)*Mag/second |",1]
["| semantic | symbol | defaultvalue |\n| --- | --- | --- |\n| numberofnodes | n | 300sensors |\n| communicationradius | dtrx | 100meters |\n| sensingradius | ddtx | 25meters |","| Parameters | Value | Description |\n| --- | --- | --- |\n| N | 1000 | Numberofvideocontents |\n| Ld | 30m | D2Ddistancethreshold |\n| Cd | 80 | CachesizeofD2Dtransmitusers |\n| Cf | 100∼500 | CachesizeofF-APs |\n| Bd | 300MHz | BandwidthofD2Dusers |\n| Bf | 100MHz | BandwidthofF-APs |\n| Pd | 13dBm | TransmitpowerofD2Dtransmituser |\n| Pf | 23dBm | TransmitpowerofF-AP |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| semantic | symbol | defaultvalue |\n| --- | --- | --- |\n| numberofnodes | n | 300sensors |\n| communicationradius | dtrx | 100meters |\n| sensingradius | ddtx | 25meters |","| targetspeed | detectionradius | 6km/h |\n| --- | --- | --- |\n| messagepropagationfrequency | freq | 1MSG/second |\n| networkdensity | dens | 10/(100·3.14)*Mag/second |",1]
["| semantic | symbol | defaultvalue |\n| --- | --- | --- |\n| numberofnodes | n | 300sensors |\n| communicationradius | dtrx | 100meters |\n| sensingradius | ddtx | 25meters |","| Pf | 23dBm | TransmitpowerofF-AP |\n| --- | --- | --- |\n| λru | −5<br>6×10 | Intensityofcontentrequireusers |\n| λtu | −5<br>5×10 | IntensityofD2Dtransmitusers |\n| λf | −5<br>3×10 | IntensityofF-APs |\n| λg | −6<br>2×10 | Intensityofgateways |\n| α | 4 | Pathlossexponent |",0]
["| LM | dev | eval |  |  |\n| --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |\n| ng4 | 30.4 | 29.8 | 31.0 | 30.7 |","| +uni-RNN | 28.5 | 27.8 | 28.7 | 28.4 |\n| --- | --- | --- | --- | --- |\n| +succ-RNN(1word)<br>+succ-RNN(3word) | 28.0<br>27.8 | 27.5<br>27.4 | 28.6<br>28.5 | 28.1<br>28.0 |",1]
["| LM | dev | eval |  |  |\n| --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |\n| ng4 | 30.4 | 29.8 | 31.0 | 30.7 |","| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |\n| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |\n| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 |",0]
["| LM | dev | eval |  |  |\n| --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |\n| ng4 | 30.4 | 29.8 | 31.0 | 30.7 |","| +uni-RNN | 28.5 | 27.8 | 28.7 | 28.4 |\n| --- | --- | --- | --- | --- |\n| +succ-RNN(1word)<br>+succ-RNN(3word) | 28.0<br>27.8 | 27.5<br>27.4 | 28.6<br>28.5 | 28.1<br>28.0 |",1]
["| LM | dev | eval |  |  |\n| --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |\n| ng4 | 30.4 | 29.8 | 31.0 | 30.7 |","| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |\n| --- | --- | --- | --- | --- | --- |\n| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 |",0]
["| Dataset | AveragePoolMemory(inKBs) |  |  |\n| --- | --- | --- | --- |\n|  | FCT | EPa | EP |\n| Flight | 32.1 | 20.2 | 18.1 |\n| Electricity | 31.6 | 16.1 | 14.1 |","| Rot.Hyperplane | 48.4 | 38.6 | 27.9 |\n| --- | --- | --- | --- |\n| Spam | 17.3 | 17.2 | 16.4 |",1]
["| Dataset | AveragePoolMemory(inKBs) |  |  |\n| --- | --- | --- | --- |\n|  | FCT | EPa | EP |\n| Flight | 32.1 | 20.2 | 18.1 |\n| Electricity | 31.6 | 16.1 | 14.1 |","| Dataset | FCT | EPa | EP |\n| --- | --- | --- | --- |\n| Flight | 797.2 | 731.2 | 836.9 |\n| Electricity | 11600.3 | 9002.5 | 11402.5 |\n| RotatingHyperplane | 5647.8 | 5413.8 | 5804.5 |\n| Spam | 4.2 | 3.9 | 4.2 |",0]
["| Dataset | AveragePoolMemory(inKBs) |  |  |\n| --- | --- | --- | --- |\n|  | FCT | EPa | EP |\n| Flight | 32.1 | 20.2 | 18.1 |","| Electricity | 31.6 | 16.1 | 14.1 |\n| --- | --- | --- | --- |\n| Rot.Hyperplane | 48.4 | 38.6 | 27.9 |\n| Spam | 17.3 | 17.2 | 16.4 |",1]
["| Dataset | AveragePoolMemory(inKBs) |  |  |\n| --- | --- | --- | --- |\n|  | FCT | EPa | EP |\n| Flight | 32.1 | 20.2 | 18.1 |","| RotatingHyperplane | 5647.8 | 5413.8 | 5804.5 |\n| --- | --- | --- | --- |\n| Spam | 4.2 | 3.9 | 4.2 |",0]
["| 79.75(79.47,80.03) | 80.20(80.02,80.35) | 80.68(80.14,81.21) | 80.99(80.65,81.30) |\n| --- | --- | --- | --- |\n| 44.98(44.06,45.68) | 46.10(45.37,46.84) | 46.75(46.35,47.36) | 47.02(46.59,47.59) |\n| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |","| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |\n| --- | --- | --- | --- |\n| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |\n| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |\n| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |",1]
["| 79.75(79.47,80.03) | 80.20(80.02,80.35) | 80.68(80.14,81.21) | 80.99(80.65,81.30) |\n| --- | --- | --- | --- |\n| 44.98(44.06,45.68) | 46.10(45.37,46.84) | 46.75(46.35,47.36) | 47.02(46.59,47.59) |\n| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |","| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |\n| --- | --- | --- | --- | --- | --- |\n| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |\n| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |\n| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |\n| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |\n| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |\n| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |\n| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |\n| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |",0]
["| 79.75(79.47,80.03) | 80.20(80.02,80.35) | 80.68(80.14,81.21) | 80.99(80.65,81.30) |\n| --- | --- | --- | --- |\n| 44.98(44.06,45.68) | 46.10(45.37,46.84) | 46.75(46.35,47.36) | 47.02(46.59,47.59) |\n| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |\n| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |","| 90.29(89.93,90.61) | 91.42(91.16,91.71) | 91.52(91.23,91.72) | 91.47(91.15,91.64) |\n| --- | --- | --- | --- |\n| 81.72(81.21,82.20) | 82.71(82.06,83.30) | 83.44(83.06,83.90) | 83.70(83.31,84.25) |\n| 89.15(88.83,89.47) | 89.39(89.14,89.56) | 89.30(89.16,89.60) | 89.37(88.99,89.61) |",1]
["| 79.75(79.47,80.03) | 80.20(80.02,80.35) | 80.68(80.14,81.21) | 80.99(80.65,81.30) |\n| --- | --- | --- | --- |\n| 44.98(44.06,45.68) | 46.10(45.37,46.84) | 46.75(46.35,47.36) | 47.02(46.59,47.59) |\n| 83.69(83.46,84.07) | 84.63(84.44,84.88) | 85.18(84.64,85.59) | 85.38(85.31,85.49) |\n| 92.60(92.28,92.76) | 92.87(92.69,93.17) | 93.06(92.81,93.19) | 93.13(92.79,93.32) |","| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |\n| --- | --- | --- | --- | --- | --- |\n| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |",0]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |","| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| --- | --- | --- | --- | --- | --- | --- |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",1]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 39 | 96 | 82 | 0.289 | 0.322 | 0.305 |\n| 8024 | 96 | 29 | 10 | 0.768 | 0.906 | 0.831 |\n| 8386 | 114 | 5 | 4 | 0.958 | 0.966 | 0.962 |\n| 8401 | 30 | 8 | 1 | 0.789 | 0.968 | 0.87 |\n| 10558a | 125 | 1 | 5 | 0.992 | 0.962 | 0.977 |\n| 23585a | 159 | 8 | 6 | 0.952 | 0.964 | 0.958 |\n| 23585b | 103 | 4 | 1 | 0.963 | 0.99 | 0.976 |\n| 34921a | 71 | 6 | 4 | 0.922 | 0.947 | 0.934 |\n| 34921b | 91 | 11 | 8 | 0.892 | 0.919 | 0.905 |\n| 36553 | 202 | 26 | 12 | 0.886 | 0.944 | 0.914 |\n| 50009 | 53 | 29 | 5 | 0.646 | 0.914 | 0.757 |\n| 50028 | 89 | 18 | 4 | 0.832 | 0.957 | 0.89 |\n| UGS01 | 171 | 12 | 5 | 0.934 | 0.972 | 0.953 |\n| UGS04 | 222 | 15 | 1 | 0.937 | 0.996 | 0.965 |\n| UGS05 | 26 | 21 | 4 | 0.553 | 0.867 | 0.675 |\n| UGS09 | 176 | 17 | 17 | 0.912 | 0.912 | 0.912 |\n| Total | 1827 | 313 | 173 | 0.854 | 0.913 | 0.883 |",0]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |","| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",1]
["|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |","| UGS04 | 222 | 15 | 1 | 0.937 | 0.996 | 0.965 |\n| --- | --- | --- | --- | --- | --- | --- |\n| UGS05 | 26 | 21 | 4 | 0.553 | 0.867 | 0.675 |\n| UGS09 | 176 | 17 | 17 | 0.912 | 0.912 | 0.912 |\n| Total | 1827 | 313 | 173 | 0.854 | 0.913 | 0.883 |",0]
["| ID | Name | TimeInterval |\n| --- | --- | --- |\n| 0 | Morning | 6:00∼9:00 |","| 1 | Forenoon | 9:00∼12:00 |\n| --- | --- | --- |\n| 2 | Noon | 12:00∼14:00 |\n| 3 | Afternoon | 14:00∼17:00 |\n| 4 | Evening | 17:00∼21:00 |\n| 5 | Night | 21:00∼24:00 |\n| 6 | Midnight | 0:00∼6:00 |\n| 7 | Weekday | Monday∼Friday |\n| 8 | Weekend | Saturday,Sunday |",1]
["| ID | Name | TimeInterval |\n| --- | --- | --- |\n| 0 | Morning | 6:00∼9:00 |","| DayofWeek | Count | α | (cid:96)(km)0 | (cid:96)(km) | σ |\n| --- | --- | --- | --- | --- | --- |\n| Sunday | 17768 | 2.11 | 32.34 | 15.84 | 2,652.07 |\n| Monday | 28476 | 2.42 | 34.20 | 9.66 | 1,026.79 |\n| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |\n| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |\n| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |\n| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |\n| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 |",0]
["| ID | Name | TimeInterval |\n| --- | --- | --- |\n| 0 | Morning | 6:00∼9:00 |\n| 1 | Forenoon | 9:00∼12:00 |","| 2 | Noon | 12:00∼14:00 |\n| --- | --- | --- |\n| 3 | Afternoon | 14:00∼17:00 |\n| 4 | Evening | 17:00∼21:00 |\n| 5 | Night | 21:00∼24:00 |\n| 6 | Midnight | 0:00∼6:00 |\n| 7 | Weekday | Monday∼Friday |\n| 8 | Weekend | Saturday,Sunday |",1]
["| ID | Name | TimeInterval |\n| --- | --- | --- |\n| 0 | Morning | 6:00∼9:00 |\n| 1 | Forenoon | 9:00∼12:00 |","| Tuesday | 28449 | 2.42 | 38.81 | 9.47 | 919.62 |\n| --- | --- | --- | --- | --- | --- |\n| Wednesday | 28649 | 2.46 | 48.45 | 9.86 | 966.94 |\n| Thursday | 27787 | 2.38 | 38.95 | 10.07 | 943.46 |\n| Friday | 27878 | 2.22 | 43.23 | 11.46 | 1,507.96 |\n| Saturday | 23880 | 2.23 | 32.30 | 12.60 | 1,789.28 |",0]
["| metrics |\n| --- |\n| RMSE<br>ACC |","| RMSE<br>ACC |\n| --- |\n| RMSE<br>ACC |\n| RMSE<br>ACC |",1]
["| metrics |\n| --- |\n| RMSE<br>ACC |","| Features | RMSE |\n| --- | --- |\n| COL | 0.155±0.001 |\n| ST | 0.146±0.002 |\n| SAL | 0.142±0.002 |\n| DL(C3D) | 0.140±0.002 |\n| SEM | 0.138±0.003 |\n| DL+ST+SAL+COL | 0.136±0.001 |\n| SEM+ST+SAL+COL | 0.135±0.001 |",0]
["| metrics |\n| --- |\n| RMSE<br>ACC |","| RMSE<br>ACC |\n| --- |\n| RMSE<br>ACC |\n| RMSE<br>ACC |",1]
["| metrics |\n| --- |\n| RMSE<br>ACC |","| SAL | 0.142±0.002 |\n| --- | --- |\n| DL(C3D) | 0.140±0.002 |\n| SEM | 0.138±0.003 |\n| DL+ST+SAL+COL | 0.136±0.001 |\n| SEM+ST+SAL+COL | 0.135±0.001 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |","| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| --- |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |","| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |","| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| --- |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |","| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| --- |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| LexicalFeatures |\n| --- |\n| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |\n| StructuralFeatures |","| seeTable3 |\n| --- |\n| GrammaticalFeatures |\n| part-of-speech<br>phrasetype(VP/NP/PP)<br>dependencyrelations |\n| OtherFeatures |\n| speakerrole<br>topic |",1]
["| LexicalFeatures |\n| --- |\n| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |\n| StructuralFeatures |","|  | PDTB-basedDataSet | SEW-basedDataSet |\n| --- | --- | --- |\n| Source | PennDiscourse<br>TreebankCorpus | SimpleEnglish<br>WikipediaCorpus |\n| #ofpairsofarticles | 378 | 1988 |\n| #ofpositivepairs | 194 | 944 |\n| #ofnegativepairs | 184 | 944 |\n| DiscourseAnnotation | ManuallyAnnotated | Extractedusing<br>End-to-Endparser |",0]
["| LexicalFeatures |\n| --- |\n| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |\n| StructuralFeatures |\n| seeTable3 |\n| GrammaticalFeatures |","| part-of-speech<br>phrasetype(VP/NP/PP)<br>dependencyrelations |\n| --- |\n| OtherFeatures |\n| speakerrole<br>topic |",1]
["| LexicalFeatures |\n| --- |\n| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |\n| StructuralFeatures |\n| seeTable3 |\n| GrammaticalFeatures |","| #ofpositivepairs | 194 | 944 |\n| --- | --- | --- |\n| #ofnegativepairs | 184 | 944 |\n| DiscourseAnnotation | ManuallyAnnotated | Extractedusing<br>End-to-Endparser |",0]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |","| 2 | thesystemmetthecriterion | thesystemsatisﬁedthecriterion |\n| --- | --- | --- |\n| 3 | thechildmetthehouse | thechildvisitedthehouse |\n| 4 | thechildmetthehouse | thechildsatisﬁedthehouse |\n| 5 | thechildshowedinterest | thechildpicturedinterest |\n| 6 | thechildshowedinterest | thechildexpressedinterest |\n| 7 | themapshowedthelocation | themappicturedthelocation |\n| 8 | themapshowedthelocation | themapexpressedthelocation |",1]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |","|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | tableshowresult | tableexpressresult |\n| 2 | tableshowresult | tablepictureresult |\n| 3 | mapshowlocation | mappicturelocation |\n| 4 | mapshowlocation | mapexpresslocation |\n| 5 | childshowinterest | childpictureinterest |\n| 6 | childshowinterest | childexpressinterest |",0]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |\n| 2 | thesystemmetthecriterion | thesystemsatisﬁedthecriterion |\n| 3 | thechildmetthehouse | thechildvisitedthehouse |\n| 4 | thechildmetthehouse | thechildsatisﬁedthehouse |","| 5 | thechildshowedinterest | thechildpicturedinterest |\n| --- | --- | --- |\n| 6 | thechildshowedinterest | thechildexpressedinterest |\n| 7 | themapshowedthelocation | themappicturedthelocation |\n| 8 | themapshowedthelocation | themapexpressedthelocation |",1]
["|  | Sentence1 | Sentence2 |\n| --- | --- | --- |\n| 1 | thesystemmetthecriterion | thesystemvisitedthecriterion |\n| 2 | thesystemmetthecriterion | thesystemsatisﬁedthecriterion |\n| 3 | thechildmetthehouse | thechildvisitedthehouse |\n| 4 | thechildmetthehouse | thechildsatisﬁedthehouse |","| 2 | tableshowresult | tablepictureresult |\n| --- | --- | --- |\n| 3 | mapshowlocation | mappicturelocation |\n| 4 | mapshowlocation | mapexpresslocation |\n| 5 | childshowinterest | childpictureinterest |\n| 6 | childshowinterest | childexpressinterest |",0]
["| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |\n| --- | --- |\n| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |\n| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 |","| GBF<br>ProposedADF<br>ProposedDBF | 37.5033.8631.0328.9726.23<br>37.2433.8931.2629.4926.76<br>38.4534.2031.9430.0327.26 |\n| --- | --- |\n| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1322.1118.6016.1014.15 |\n| GBF<br>ProposedADF<br>ProposedDBF | 38.6934.8531.7629.2426.81<br>37.4134.6331.3529.5127.12<br>39.1435.3932.9030.5728.00 |",1]
["| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |\n| --- | --- |\n| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |\n| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 |","| Image | KernelSize,<br>Connectivity | Time | Upper-bound<br>SDBCMPLP-CP-v2 | Lower-bound<br>SDBCMPLP-CP-v2 |\n| --- | --- | --- | --- | --- |\n| “1234” | 3×3,23 | 20min<br>1hr<br>24hr | −601.31−601.31<br>−601.31−601.31<br>−601.31−601.31 | −601.42−601.31<br>−601.32−601.31<br>−601.31−601.31 |\n| “1234” | 5×5,70 | 20min<br>1hr<br>24hr | −550.99−550.81<br>−551.02−550.95<br>−551.02−551.02 | −551.84−551.87<br>−551.26−551.30<br>−551.02−551.06 |\n| “1234” | 7×7,136 | 20min<br>1hr<br>24hr | −478.07−474.19<br>−478.15−477.47<br>−478.16−477.84 | −479.82−500.90<br>−478.74−487.26<br>−478.16−480.46 |\n| “ABCD” | 3×3,23 | 20min<br>1hr<br>24hr | −524.60−524.60<br>−524.60−524.60<br>−524.60−524.60 | −524.74−524.60<br>−524.63−524.60<br>−524.60−524.60 |\n| “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |\n| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 |",0]
["| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |\n| --- | --- |\n| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |\n| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 |","| GBF<br>ProposedADF<br>ProposedDBF | 37.5033.8631.0328.9726.23<br>37.2433.8931.2629.4926.76<br>38.4534.2031.9430.0327.26 |\n| --- | --- |\n| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1322.1118.6016.1014.15 |\n| GBF<br>ProposedADF<br>ProposedDBF | 38.6934.8531.7629.2426.81<br>37.4134.6331.3529.5127.12<br>39.1435.3932.9030.5728.00 |",1]
["| InputPSNR | Syntheticimage(600×600)<br>27.8221.8018.2815.7813.83 |\n| --- | --- |\n| GBF<br>ProposedADF<br>ProposedDBF | 31.5926.9524.0522.3221.14<br>30.7226.6023.3722.1220.84<br>32.3827.7424.6222.6121.29 |\n| InputPSNR | EndoscopyimageinFig.??(370×370)<br>28.1222.0718.5616.0314.16 |","| “ABCD” | 5×5,70 | 20min<br>1hr<br>24hr | −452.60−452.33<br>−452.64−452.48<br>−452.64−452.64 | −453.63−456.18<br>−452.99−453.60<br>−452.64−452.69 |\n| --- | --- | --- | --- | --- |\n| “ABCD” | 7×7,136 | 20min<br>1hr<br>24hr | −416.63−410.82<br>−416.74−414.77<br>−416.77−416.29 | −418.73−452.00<br>−417.75−432.34<br>−416.78−422.12 |",0]
["| Name | n | GCusing | Proposedapproach |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | GC | QC | Time(sec) |  |  |\n| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |\n| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |\n| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |\n| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |\n| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |\n| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |\n| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |\n| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |\n| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |\n| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |\n| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |\n| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |\n| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |\n| mod5 | 5 | – | – | – | 7 | 15 | 6.23 |","| 4mod5younus | 5 | – | – | – | 5 | 9 | 0.71 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 4mod5miller | 5 | 5 | – | – | 5 | 13 | 0.78 |\n| graycode | 6 | – | 5 | – | 5 | 5 | 2.22 |\n| permanent2x2 | 6 | – | – | – | 3 | 23 | 1.24 |",1]
["| Name | n | GCusing | Proposedapproach |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | GC | QC | Time(sec) |  |  |\n| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |\n| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |\n| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |\n| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |\n| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |\n| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |\n| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |\n| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |\n| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |\n| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |\n| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |\n| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |\n| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |\n| mod5 | 5 | – | – | – | 7 | 15 | 6.23 |","| n | n-k | m | q | d | t | r’ | r | GVR | Singleton | pk(bits) | sign(bits) | LP | Dual | DS | DA |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 57600 | 8640 | 130 | 1096 | 400 | 776 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |\n| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |\n| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |\n| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |\n| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 |",0]
["| Name | n | GCusing | Proposedapproach |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | GC | QC | Time(sec) |  |  |\n| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |\n| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |\n| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |\n| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |\n| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |\n| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |\n| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |\n| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |\n| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |\n| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |\n| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |\n| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |\n| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |\n| mod5 | 5 | – | – | – | 7 | 15 | 6.23 |\n| 4mod5younus | 5 | – | – | – | 5 | 9 | 0.71 |","| 4mod5miller | 5 | 5 | – | – | 5 | 13 | 0.78 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| graycode | 6 | – | 5 | – | 5 | 5 | 2.22 |\n| permanent2x2 | 6 | – | – | – | 3 | 23 | 1.24 |",1]
["| Name | n | GCusing | Proposedapproach |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | GC | QC | Time(sec) |  |  |\n| 1-bit-adder | 4 | 5 | – | – | 4 | 12 | 0.11 |\n| 2-to-4-decoder | 4 | – | 6 | – | 6 | 18 | 0.30 |\n| decode-42 | 4 | – | – | 10 | 10 | 30 | 45.83 |\n| Mperk | 4 | – | – | 9 | 9 | 17 | 2.04 |\n| Imark | 4 | – | – | 7 | 7 | 19 | 0.49 |\n| 449 | 4 | – | – | 12 | 12 | 72 | 12659.30 |\n| hwb4 | 4 | – | – | 11 | 11 | 23 | 232.88 |\n| Oc5 | 4 | – | – | 11 | 11 | 39 | 704.10 |\n| Oc6 | 4 | – | – | 12 | 12 | 44 | 14408.50 |\n| 4gt5 | 5 | – | 4 | – | 3 | 19 | 0.33 |\n| mod5mills | 5 | – | 5 | – | 5 | 13 | 0.70 |\n| mod5d1 | 5 | – | 7 | – | 7 | 15 | 6.84 |\n| mod5d2 | 5 | – | 8 | – | 8 | 16 | 5.77 |\n| mod5 | 5 | – | – | – | 7 | 15 | 6.23 |\n| 4mod5younus | 5 | – | – | – | 5 | 9 | 0.71 |","| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 11520 | 1728 | 110 | 233 | 80 | 168 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | 8 | 18 | 2 | 2 | 2 | 4 | 6 | 5 | 8 | 23040 | 3456 | 120 | 448 | 160 | 320 |\n| 20 | 10 | 24 | 2 | 2 | 3 | 5 | 8 | 6 | 10 | 24960 | 3008 | 190 | 370 | 104 | 226 |\n| 27 | 9 | 20 | 2 | 3 | 2 | 3 | 5 | 4 | 7 | 23328 | 1470 | 170 | 187 | 120 | 129 |\n| 48 | 12 | 40 | 2 | 4 | 5 | 3 | 8 | 6 | 10 | 78720 | 2976 | ¿600 | 340 | 164 | 114 |\n| 50 | 10 | 42 | 2 | 5 | 5(2) | 2 | 7 | 5 | 9 | 70560 | 2800 | ¿600 | 240 | 180 | 104 |",0]
["| year | nr.papers | nr.authors | nr.links | avg.clustering |\n| --- | --- | --- | --- | --- |\n| 2001 | 4 | 9 | 6 | 0.37 |\n| 2002 | 3 | 10 | 13 | 0.8 |\n| 2003 | 5 | 12 | 9 | 0.4 |\n| 2004 | 13 | 39 | 47 | 0.65 |\n| 2005 | 7 | 22 | 26 | 0.81 |\n| 2006 | 11 | 33 | 39 | 0.73 |\n| 2007 | 4 | 15 | 24 | 1.0 |\n| 2008 | 7 | 15 | 9 | 0.2 |\n| 2009 | 10 | 34 | 60 | 0.68 |\n| 2010 | 8 | 21 | 19 | 0.61 |\n| 2011 | 8 | 32 | 59 | 0.80 |\n| 2012 | 6 | 26 | 56 | 0.92 |\n| 2013 | 5 | 18 | 31 | 0.86 |\n| 2014 | 6 | 16 | 13 | 0.85 |","| 2015 | 9 | 24 | 23 | 0.58 |\n| --- | --- | --- | --- | --- |\n| 2016 | 17 | 60 | 114 | 0.75 |",1]
["| year | nr.papers | nr.authors | nr.links | avg.clustering |\n| --- | --- | --- | --- | --- |\n| 2001 | 4 | 9 | 6 | 0.37 |\n| 2002 | 3 | 10 | 13 | 0.8 |\n| 2003 | 5 | 12 | 9 | 0.4 |\n| 2004 | 13 | 39 | 47 | 0.65 |\n| 2005 | 7 | 22 | 26 | 0.81 |\n| 2006 | 11 | 33 | 39 | 0.73 |\n| 2007 | 4 | 15 | 24 | 1.0 |\n| 2008 | 7 | 15 | 9 | 0.2 |\n| 2009 | 10 | 34 | 60 | 0.68 |\n| 2010 | 8 | 21 | 19 | 0.61 |\n| 2011 | 8 | 32 | 59 | 0.80 |\n| 2012 | 6 | 26 | 56 | 0.92 |\n| 2013 | 5 | 18 | 31 | 0.86 |\n| 2014 | 6 | 16 | 13 | 0.85 |","| Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |\n| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |\n| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |\n| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |\n| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |\n| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |\n| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |",0]
["| year | nr.papers | nr.authors | nr.links | avg.clustering |\n| --- | --- | --- | --- | --- |\n| 2001 | 4 | 9 | 6 | 0.37 |\n| 2002 | 3 | 10 | 13 | 0.8 |\n| 2003 | 5 | 12 | 9 | 0.4 |\n| 2004 | 13 | 39 | 47 | 0.65 |\n| 2005 | 7 | 22 | 26 | 0.81 |\n| 2006 | 11 | 33 | 39 | 0.73 |\n| 2007 | 4 | 15 | 24 | 1.0 |\n| 2008 | 7 | 15 | 9 | 0.2 |\n| 2009 | 10 | 34 | 60 | 0.68 |\n| 2010 | 8 | 21 | 19 | 0.61 |\n| 2011 | 8 | 32 | 59 | 0.80 |\n| 2012 | 6 | 26 | 56 | 0.92 |","| 2013 | 5 | 18 | 31 | 0.86 |\n| --- | --- | --- | --- | --- |\n| 2014 | 6 | 16 | 13 | 0.85 |\n| 2015 | 9 | 24 | 23 | 0.58 |\n| 2016 | 17 | 60 | 114 | 0.75 |",1]
["| year | nr.papers | nr.authors | nr.links | avg.clustering |\n| --- | --- | --- | --- | --- |\n| 2001 | 4 | 9 | 6 | 0.37 |\n| 2002 | 3 | 10 | 13 | 0.8 |\n| 2003 | 5 | 12 | 9 | 0.4 |\n| 2004 | 13 | 39 | 47 | 0.65 |\n| 2005 | 7 | 22 | 26 | 0.81 |\n| 2006 | 11 | 33 | 39 | 0.73 |\n| 2007 | 4 | 15 | 24 | 1.0 |\n| 2008 | 7 | 15 | 9 | 0.2 |\n| 2009 | 10 | 34 | 60 | 0.68 |\n| 2010 | 8 | 21 | 19 | 0.61 |\n| 2011 | 8 | 32 | 59 | 0.80 |\n| 2012 | 6 | 26 | 56 | 0.92 |","| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |\n| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |\n| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |\n| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 |",0]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.765 | baban | murati |","| 0.769 | diz | pats |\n| --- | --- | --- |\n| 0.744 | himarios | nikezic |\n| 0.757 | lebris | ravino |\n| 0.750 | singsuk | lebudel |\n| 0.750 | waku | arrama |",1]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.765 | baban | murati |","| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7347 | blocklar | sahinagic |\n| 0.7458 | frankenfeld | dhumatkar |\n| 0.7429 | kolin | wendly |\n| 0.7429 | lehky | turcon |\n| 0.7368 | quinney | foica |\n| 0.7407 | runt | meij |",0]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.765 | baban | murati |\n| 0.769 | diz | pats |\n| 0.744 | himarios | nikezic |","| 0.757 | lebris | ravino |\n| --- | --- | --- |\n| 0.750 | singsuk | lebudel |\n| 0.750 | waku | arrama |",1]
["| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.765 | baban | murati |\n| 0.769 | diz | pats |\n| 0.744 | himarios | nikezic |","| 0.7458 | frankenfeld | dhumatkar |\n| --- | --- | --- |\n| 0.7429 | kolin | wendly |\n| 0.7429 | lehky | turcon |\n| 0.7368 | quinney | foica |\n| 0.7407 | runt | meij |",0]
["|  | Fragmenterrorrate |  |\n| --- | --- | --- |\n| z(m) | MLP | CNN(proposal) |","| 0.05 | 8.42×10 | 1.52×10 |\n| --- | --- | --- |\n| 0.1 | 5.07×10 | 5.84×10 |\n| 0.15 | 1.88×10 | 2.45×10 |",1]
["|  | Fragmenterrorrate |  |\n| --- | --- | --- |\n| z(m) | MLP | CNN(proposal) |","| #Parameters | MaxMin-CNN | Simple-CNN |\n| --- | --- | --- |\n| ≈30K | 73.81 | 69.98 |\n| ≈15K | 78.13 | 74.44 |\n| ≈60K | 80.03 | 77.01 |\n| ≈2M | 81.68 | 78.11 |\n| ≈5M | 82.07 | 79.48 |\n| ≈15M | 82.69 | 80.13 |\n| ≈45M | 82.98 | 80.41 |",0]
["|  | Fragmenterrorrate |  |\n| --- | --- | --- |\n| z(m) | MLP | CNN(proposal) |\n| 0.05 | 8.42×10 | 1.52×10 |","| 0.1 | 5.07×10 | 5.84×10 |\n| --- | --- | --- |\n| 0.15 | 1.88×10 | 2.45×10 |",1]
["|  | Fragmenterrorrate |  |\n| --- | --- | --- |\n| z(m) | MLP | CNN(proposal) |\n| 0.05 | 8.42×10 | 1.52×10 |","| ≈60K | 80.03 | 77.01 |\n| --- | --- | --- |\n| ≈2M | 81.68 | 78.11 |\n| ≈5M | 82.07 | 79.48 |\n| ≈15M | 82.69 | 80.13 |\n| ≈45M | 82.98 | 80.41 |",0]
["| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) |  |  |  |\n| --- | --- | --- | --- | --- |\n| TheLPAC-ColdModel |  |  |  |  |\n| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |\n| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |\n| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |\n| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |\n| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 |","| ieee57 | 0.9726 | 0.01038 | 0.03353 | 3.587 |\n| --- | --- | --- | --- | --- |\n| ieee118 | 0.9989 | 0.000717 | 0.00476 | 0.4926 |\n| ieeedd17 | 0.9651 | 0.01376 | 0.03345 | 3.424 |\n| ieeedd17m | 0.9815 | 0.00647 | 0.01579 | 1.659 |\n| mp300 | 0.9948 | 0.002361 | 0.01552 | 1.656 |\n| TheLPAC-WarmModel |  |  |  |  |\n| ieee14 | 0.9998 | 0.0005479 | 0.001173 | 0.1111 |\n| mp24 | 0.9996 | 0.000542 | 0.002214 | 0.2294 |\n| ieee30 | 0.9994 | 0.001426 | 0.002508 | 0.25 |\n| mp30 | 1.0000 | 0.0003884 | 0.000707 | 0.073 |\n| mp39 | 0.9983 | 0.00154 | 0.003545 | 0.3524 |\n| ieee57 | 0.9987 | 0.002138 | 0.005515 | 0.59 |\n| ieee118 | 0.9999 | 0.0001961 | 0.001303 | 0.1344 |\n| ieeedd17 | 0.9858 | 0.01204 | 0.02597 | 2.796 |\n| ieeedd17m | 0.9760 | 0.009819 | 0.02037 | 2.067 |\n| mp300 | 0.9967 | 0.002477 | 0.01403 | 1.52 |",1]
["| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) |  |  |  |\n| --- | --- | --- | --- | --- |\n| TheLPAC-ColdModel |  |  |  |  |\n| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |\n| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |\n| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |\n| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |\n| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 |","| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) |  |  |  |\n| --- | --- | --- | --- | --- |\n| TheLPAC-ColdModel |  |  |  |  |\n| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |\n| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |\n| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |\n| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |\n| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 |\n| ieee57 | 0.9726 | 0.01038 | 0.03353 | 3.587 |\n| ieee118 | 0.9989 | 0.000717 | 0.00476 | 0.4926 |\n| ieeedd17 | 0.9651 | 0.01376 | 0.03345 | 3.424 |\n| ieeedd17m | 0.9815 | 0.00647 | 0.01579 | 1.659 |\n| mp300 | 0.9948 | 0.002361 | 0.01552 | 1.656 |\n| TheLPAC-WarmModel |  |  |  |  |\n| ieee14 | 0.9998 | 0.0005479 | 0.001173 | 0.1111 |\n| mp24 | 0.9996 | 0.000542 | 0.002214 | 0.2294 |\n| ieee30 | 0.9994 | 0.001426 | 0.002508 | 0.25 |\n| mp30 | 1.0000 | 0.0003884 | 0.000707 | 0.073 |\n| mp39 | 0.9983 | 0.00154 | 0.003545 | 0.3524 |","| ieee57 | 0.9987 | 0.002138 | 0.005515 | 0.59 |\n| --- | --- | --- | --- | --- |\n| ieee118 | 0.9999 | 0.0001961 | 0.001303 | 0.1344 |\n| ieeedd17 | 0.9858 | 0.01204 | 0.02597 | 2.796 |\n| ieeedd17m | 0.9760 | 0.009819 | 0.02037 | 2.067 |\n| mp300 | 0.9967 | 0.002477 | 0.01403 | 1.52 |",1]
["| Benchmark | VoltageMagnitude(Voltsp.u.)<br>Corrµ(∆)max(∆)δ(arg-max(∆)) |  |  |  |\n| --- | --- | --- | --- | --- |\n| TheLPAC-ColdModel |  |  |  |  |\n| ieee14 | 0.9828 | 0.003524 | 0.01304 | 1.236 |\n| mp24 | 0.9983 | 0.000676 | 0.003244 | 0.3362 |\n| ieee30 | 0.9908 | 0.002445 | 0.01098 | 1.098 |\n| mp30 | 0.9884 | 0.002186 | 0.009453 | 0.9723 |\n| mp39 | 0.9992 | 0.0007521 | 0.002446 | 0.2313 |\n| ieee57 | 0.9726 | 0.01038 | 0.03353 | 3.587 |\n| ieee118 | 0.9989 | 0.000717 | 0.00476 | 0.4926 |\n| ieeedd17 | 0.9651 | 0.01376 | 0.03345 | 3.424 |\n| ieeedd17m | 0.9815 | 0.00647 | 0.01579 | 1.659 |\n| mp300 | 0.9948 | 0.002361 | 0.01552 | 1.656 |\n| TheLPAC-WarmModel |  |  |  |  |\n| ieee14 | 0.9998 | 0.0005479 | 0.001173 | 0.1111 |\n| mp24 | 0.9996 | 0.000542 | 0.002214 | 0.2294 |\n| ieee30 | 0.9994 | 0.001426 | 0.002508 | 0.25 |\n| mp30 | 1.0000 | 0.0003884 | 0.000707 | 0.073 |\n| mp39 | 0.9983 | 0.00154 | 0.003545 | 0.3524 |","| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| Binary | Coverage | Crashes | TotalPaths |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB |  |\n| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |\n| cxxﬁlt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |\n| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |\n| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |\n| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |\n| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |\n| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |\n| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |\n| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |","| strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| gif2png | 1.74 | 1.76 | 1.74 | 125 | 133 | 132 | 1504 | 1599 | 1538 |\n| libxml2 | 8.74 | 9.42 | 9.34 | 0 | 0 | 0 | 3211 | 5233 | 3933 |\n| libpng | 5.05 | 5.32 | 5.07 | 0 | 0 | 0 | 2112 | 2679 | 1957 |\n| mpg321 | 0.44 | 0.44 | 0.44 | 14 | 14 | 14 | 168 | 169 | 169 |\n| tcpdump | 15.62 | 16.36 | 17.83 | 170 | 304 | 289 | 6471 | 11018 | 8135 |",1]
["| Binary | Coverage | Crashes | TotalPaths |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB |  |\n| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |\n| cxxﬁlt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |\n| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |\n| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |\n| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |\n| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |\n| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |\n| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |\n| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |","| Binary-to-Binary | Binary-to-Stream |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InputLevels/<br>StreamLength | Array<br>Multiplier |  |  | SISM | SCSM |  |  | AISM |\n| 8 | 408 | 318 | 226 | 198 | 306 | 510 | 370 | 376 |\n| 16 | 688 | 430 | 314 | 262 | 394 | 670 | 506 | 1272 |\n| 32 | 1040 | 550 | 414 | 326 | 482 | 838 | 654 | 4600 |\n| 64 | 1464 | 678 | 526 | 390 | 570 | 1014 | 814 | 17400 |\n| 128 | 1960 | 814 | 650 | 454 | 658 | 1198 | 986 | 67576 |\n| 256 | 2528 | 958 | 786 | 518 | 746 | 1390 | 1170 | 266232 |",0]
["| Binary | Coverage | Crashes | TotalPaths |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB |  |\n| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |\n| cxxﬁlt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |\n| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |\n| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |\n| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |\n| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |\n| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |\n| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |\n| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |\n| strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 |","| gif2png | 1.74 | 1.76 | 1.74 | 125 | 133 | 132 | 1504 | 1599 | 1538 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| libxml2 | 8.74 | 9.42 | 9.34 | 0 | 0 | 0 | 3211 | 5233 | 3933 |\n| libpng | 5.05 | 5.32 | 5.07 | 0 | 0 | 0 | 2112 | 2679 | 1957 |\n| mpg321 | 0.44 | 0.44 | 0.44 | 14 | 14 | 14 | 168 | 169 | 169 |\n| tcpdump | 15.62 | 16.36 | 17.83 | 170 | 304 | 289 | 6471 | 11018 | 8135 |",1]
["| Binary | Coverage | Crashes | TotalPaths |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB |  |\n| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |\n| cxxﬁlt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |\n| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |\n| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |\n| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |\n| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |\n| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |\n| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |\n| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |\n| strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 |","| 128 | 1960 | 814 | 650 | 454 | 658 | 1198 | 986 | 67576 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 256 | 2528 | 958 | 786 | 518 | 746 | 1390 | 1170 | 266232 |",0]
["| Model | 3questions | 4questions |\n| --- | --- | --- |\n| Tree | 0.9767 | 0.9683 |","| TreeU | 0.9913 | 0.9887 |\n| --- | --- | --- |\n| fMF | 0.9509 | 0.9480 |\n| Q-Embeddingmodel | 0.9507 | 0.9486 |\n| Q-Ratingmodel | 0.9472 | 0.9469 |",1]
["| Model | 3questions | 4questions |\n| --- | --- | --- |\n| Tree | 0.9767 | 0.9683 |","| Model | C | d | Q |\n| --- | --- | --- | --- |\n| Full | 0.14 | 4.0 | 0.40 |\n| Nodistance | 0.13 | 3.8 | 0.33 |\n| Nocategories | 0.01 | 3.8 | 0.29 |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",0]
["| Model | 3questions | 4questions |\n| --- | --- | --- |\n| Tree | 0.9767 | 0.9683 |\n| TreeU | 0.9913 | 0.9887 |\n| fMF | 0.9509 | 0.9480 |","| Q-Embeddingmodel | 0.9507 | 0.9486 |\n| --- | --- | --- |\n| Q-Ratingmodel | 0.9472 | 0.9469 |",1]
["| Model | 3questions | 4questions |\n| --- | --- | --- |\n| Tree | 0.9767 | 0.9683 |\n| TreeU | 0.9913 | 0.9887 |\n| fMF | 0.9509 | 0.9480 |","| Nodistance | 0.13 | 3.8 | 0.33 |\n| --- | --- | --- | --- |\n| Nocategories | 0.01 | 3.8 | 0.29 |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",0]
["|  | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |\n| --- | --- | --- | --- | --- |\n| (×10)Sum | 4 | 28 | 99 | 421 |\n| Memory(GB) | 6 | 45 | 160 | 679 |\n| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |\n| (×10)StdDev | 5 | 44 | 14 | 30 |\n| (×10)Median | 8 | 20 | 13 | 22 |","| (×10)Maximum | 36 | 405 | 138 | 410 |\n| --- | --- | --- | --- | --- |\n| Minimum | 967 | 438 | 287 | 358 |",1]
["|  | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |\n| --- | --- | --- | --- | --- |\n| (×10)Sum | 4 | 28 | 99 | 421 |\n| Memory(GB) | 6 | 45 | 160 | 679 |\n| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |\n| (×10)StdDev | 5 | 44 | 14 | 30 |\n| (×10)Median | 8 | 20 | 13 | 22 |","|  | Sums | Mult | Memory |\n| --- | --- | --- | --- |\n| TWM | 99 | 9 | 54 |\n| WTWM | 40.25 | 22.75 | 22.75 |\n| FDS | 54 | 9 | 18 |\n| WFDS | 17.5 | 8.75 | 7 |",0]
["|  | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |\n| --- | --- | --- | --- | --- |\n| (×10)Sum | 4 | 28 | 99 | 421 |\n| Memory(GB) | 6 | 45 | 160 | 679 |\n| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |\n| (×10)StdDev | 5 | 44 | 14 | 30 |\n| (×10)Median | 8 | 20 | 13 | 22 |","| (×10)Maximum | 36 | 405 | 138 | 410 |\n| --- | --- | --- | --- | --- |\n| Minimum | 967 | 438 | 287 | 358 |",1]
["|  | KTH(6) | HOHA2(12) | HMDB(51) | UCF-101 |\n| --- | --- | --- | --- | --- |\n| (×10)Sum | 4 | 28 | 99 | 421 |\n| Memory(GB) | 6 | 45 | 160 | 679 |\n| 3<br>(×10)Mean | 9 | 34 | 16 | 32 |\n| (×10)StdDev | 5 | 44 | 14 | 30 |\n| (×10)Median | 8 | 20 | 13 | 22 |","| WTWM | 40.25 | 22.75 | 22.75 |\n| --- | --- | --- | --- |\n| FDS | 54 | 9 | 18 |\n| WFDS | 17.5 | 8.75 | 7 |",0]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |\n| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |","| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| --- | --- | --- | --- | --- |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",1]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |\n| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |","| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 33.84,29.98(335.97) | 33.38,29.17(413.45) | 28.99,27.54(507.03) | 29.37,16.12(435.54) |\n| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |\n| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",0]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |","| 30 | 34.51,32.68(73.33) | 34.42,32.60(185.47) | 32.53,31.56(106.30) | 29.40,26.89(58.76) |\n| --- | --- | --- | --- | --- |\n| 50 | 33.08,32.27(73.14) | 32.93,31.65(195.77) | 30.48,30.09(128.35) | 25.33,23.97(58.23) |\n| 70 | 29.25,31.79(69.77) | 29.17,30.67(197.94) | 27.97,29.63(133.53) | 21.89,21.81(55.45) |",1]
["| σ | ReLD | PCP-LD | NCRPCA-LD | GRASTA-LD |\n| --- | --- | --- | --- | --- |\n| 25 | 35.00,32.78(73.54) | 34.92,32.84(198.87) | 33.34,31.98(101.78) | 30.45,28.11(59.43) |","| 30 | 33.01,29.79(338.51) | 32.49,28.72(406.45) | 27.63,27.63(510.39) | 28.16,12.53(405.53) |\n| --- | --- | --- | --- | --- |\n| 50 | 30.48,28.86(333.26) | 29.79,26.83(399.09) | 23.74,23.29(544.60) | 22.17,11.27(417.50) |\n| 70 | 27.39,27.77(321.71) | 26.80,25.06(386.60) | 20.95,20.88(589.22) | 13.92,9.78(411.87) |",0]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |\n| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |\n| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |","| Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |\n| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 |",1]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |\n| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |\n| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |","| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |\n| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |\n| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |","| Deconv1 | 60*60*128 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv7 | 120*120*(64+64) | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv8 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Deconv2 | 120*120*64 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*(32+32) | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv10 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv11 | 240*240*32 | 3*3 | 1 | 4 | Linear | 240*240*4 |\n| Softmax | 240*240*4 | N/A | N/A | N/A | N/A | 240*240 |",1]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| MaxPooling1 | 240*240*32 | N/A | 2 | N/A | N/A | 120*120*32 |\n| Conv3 | 120*120*32 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| Conv4 | 120*120*64 | 3*3 | 1 | 64 | ReLU | 120*120*64 |\n| MaxPooling2 | 120*120*64 | N/A | 2 | N/A | N/A | 60*60*64 |\n| Conv5 | 60*60*64 | 3*3 | 1 | 128 | ReLU | 60*60*128 |\n| Conv6 | 60*60*128 | 3*3 | 1 | 128 | ReLU | 60*60*128 |","| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |\n| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |\n| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |","| FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |\n| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |\n| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |\n| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 |",1]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |\n| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |\n| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |","|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 97.9 | 99.3 | 98.6 | 63.9 | 97.5 | 94.2 | 69.5 | 88.7 |\n| FCNESPMsk | 96.6 | 99.6 | 99.0 | 52.6 | 98.8 | 93.3 | 72.1 | 87.4 |\n| FCNESPMM | 97.1 | 99.7 | 98.9 | 64.8 | 98.3 | 88.7 | 72.1 | 88.5 |\n| FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |\n| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |\n| FCNMSPMsk | 96.5 | 99.5 | 98.7 | 66.4 | 98.4 | 94.3 | 67.5 | 88.8 |\n| FCNMSPMM | 97.9 | 99.7 | 98.7 | 46.3 | 97.7 | 94.4 | 73.5 | 86.9 |\n| FCNMSPMMMsk | 97.6 | 99.5 | 98.9 | 57.9 | 97.2 | 92.9 | 72.7 | 88.1 |",0]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |","| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |\n| FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |\n| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |\n| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |\n| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |\n| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 |",1]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |","| FCNESPMMMsk | 96.9 | 99.5 | 97.9 | 58.1 | 97.9 | 91.8 | 78.4 | 88.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNMSP | 97.4 | 99.6 | 98.0 | 57.4 | 98.2 | 94.3 | 70.7 | 88.0 |\n| FCNMSPMsk | 96.5 | 99.5 | 98.7 | 66.4 | 98.4 | 94.3 | 67.5 | 88.8 |\n| FCNMSPMM | 97.9 | 99.7 | 98.7 | 46.3 | 97.7 | 94.4 | 73.5 | 86.9 |\n| FCNMSPMMMsk | 97.6 | 99.5 | 98.9 | 57.9 | 97.2 | 92.9 | 72.7 | 88.1 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Labels: | LLP | MIL |  |\n| --- | --- | --- | --- |\n| Trainingsetsize: | 100subjects | 700subjects | 700subjects |","| Region: | RU | LU | RU | LU | RU | LU |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AUC |\n| Densitometry<br>and<br>GAPNet+RMS<br>GAPNet+LPI6<br>ProportionNet | -<br>0.72<br>-<br>0.77<br>0.87 | 0.23<br>-<br>-<br>0.62<br>0.73 | -<br>0.63<br>-<br>0.74<br>0.81 | 0.14<br>-<br>-<br>0.52<br>0.66 | -<br>-<br>0.79<br>0.82<br>0.87 | 0.59<br>-<br>0.93<br>0.96<br>0.97 | -<br>-<br>0.76<br>0.76<br>0.85 | 0.54<br>-<br>0.90<br>0.94<br>0.95 | 0.59<br>0.89<br>-<br>0.96<br>0.96 | 0.54<br>0.87<br>-<br>0.94<br>0.94 |",1]
["| Labels: | LLP | MIL |  |\n| --- | --- | --- | --- |\n| Trainingsetsize: | 100subjects | 700subjects | 700subjects |","|  | Train<br>/Test | Method | Accuracy |  |\n| --- | --- | --- | --- | --- |\n| AVLetters | CUAVE |  |  |  |\n| Cross-<br>modality<br>learning | Video<br>/Video | Raw | 38.08 | 42.05 |\n| CorrRNN | 81.85 | 96.22 |  |  |\n| Audio<br>/Audio | Raw | 57.31 | 88.32 |  |\n| CorrRNN | 85.33 | 96.11 |  |  |\n| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |\n| CorrRNN | 85.33 | 96.77 |  |  |\n| Audio<br>/Video | MDAE | - | 30.70 |  |\n| CorrRNN | 81.85 | 96.33 |  |  |",0]
["| Labels: | LLP | MIL |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Trainingsetsize: | 100subjects | 700subjects | 700subjects |  |  |  |\n| Region: | RU | LU | RU | LU | RU | LU |","| Metric: | ICC | rs | ICC | rs | ICC | AUC | ICC | AUC | AUC | AUC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Densitometry<br>and<br>GAPNet+RMS<br>GAPNet+LPI6<br>ProportionNet | -<br>0.72<br>-<br>0.77<br>0.87 | 0.23<br>-<br>-<br>0.62<br>0.73 | -<br>0.63<br>-<br>0.74<br>0.81 | 0.14<br>-<br>-<br>0.52<br>0.66 | -<br>-<br>0.79<br>0.82<br>0.87 | 0.59<br>-<br>0.93<br>0.96<br>0.97 | -<br>-<br>0.76<br>0.76<br>0.85 | 0.54<br>-<br>0.90<br>0.94<br>0.95 | 0.59<br>0.89<br>-<br>0.96<br>0.96 | 0.54<br>0.87<br>-<br>0.94<br>0.94 |",1]
["| Labels: | LLP | MIL |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Trainingsetsize: | 100subjects | 700subjects | 700subjects |  |  |  |\n| Region: | RU | LU | RU | LU | RU | LU |","| CorrRNN | 81.85 | 96.22 |  |  |\n| --- | --- | --- | --- | --- |\n| Audio<br>/Audio | Raw | 57.31 | 88.32 |  |\n| CorrRNN | 85.33 | 96.11 |  |  |\n| Shared<br>represe-<br>ntation<br>learning | Video<br>/Audio | MDAE | - | 24.30 |\n| CorrRNN | 85.33 | 96.77 |  |  |\n| Audio<br>/Video | MDAE | - | 30.70 |  |\n| CorrRNN | 81.85 | 96.33 |  |  |",0]
["| Method | Accuracy |\n| --- | --- |\n| ContextualModel | 79.1 |","| DeepStructuredModel | 80.6 |\n| --- | --- |\n| OurTwo-stageHierarchicalModel | 81.5 |\n| Cardinalitykernel | 83.4 |",1]
["| Method | Accuracy |\n| --- | --- |\n| ContextualModel | 79.1 |","| Method | Accuracy |  |  |\n| --- | --- | --- | --- |\n| subjectA | subjectB | subjectC |  |\n| originaldata | 0.6482 | 0.6015 | 0.6338 |\n| PCA | 0.6529 | 0.5957 | 0.6100 |\n| RPCA | 0.6656 | 0.5925 | 0.6186 |\n| GBF | 0.6638 | 0.6026 | 0.5970 |\n| 2-layerAE | 0.6610 | 0.5983 | 0.6302 |\n| 4-layerAE | 0.6693 | 0.5939 | 0.6323 |\n| proposedmodel | 0.6833 | 0.6414 | 0.6435 |",0]
["| Method | Accuracy |\n| --- | --- |\n| ContextualModel | 79.1 |","| DeepStructuredModel | 80.6 |\n| --- | --- |\n| OurTwo-stageHierarchicalModel | 81.5 |\n| Cardinalitykernel | 83.4 |",1]
["| Method | Accuracy |\n| --- | --- |\n| ContextualModel | 79.1 |","| GBF | 0.6638 | 0.6026 | 0.5970 |\n| --- | --- | --- | --- |\n| 2-layerAE | 0.6610 | 0.5983 | 0.6302 |\n| 4-layerAE | 0.6693 | 0.5939 | 0.6323 |\n| proposedmodel | 0.6833 | 0.6414 | 0.6435 |",0]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 138(65-73) | 1194.85s |\n| SIZE-Glucose | 156(67-89) | 1396.73s |\n| CVSIDS-Glucose | 165(67-98) | 1368.99s |","| LBD-Glucose | 165(68-97) | 1142.33s |\n| --- | --- | --- |\n| DegComp-Glucose | 164(69-95) | 1456.34s |",1]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 138(65-73) | 1194.85s |\n| SIZE-Glucose | 156(67-89) | 1396.73s |\n| CVSIDS-Glucose | 165(67-98) | 1368.99s |","| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 209(134-75) | 585.19s |\n| SIZE-Glucose | 230(131-99) | 533.86s |\n| CVSIDS-Glucose | 240(140-100) | 622.23s |\n| LBD-Glucose | 236(136-100) | 481.66s |\n| DegComp-Glucose | 248(146-102) | 571.31s |",0]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 138(65-73) | 1194.85s |\n| SIZE-Glucose | 156(67-89) | 1396.73s |\n| CVSIDS-Glucose | 165(67-98) | 1368.99s |","| LBD-Glucose | 165(68-97) | 1142.33s |\n| --- | --- | --- |\n| DegComp-Glucose | 164(69-95) | 1456.34s |",1]
["| Solvers | #Solved(#SAT-#UNSAT) | AverageTime |\n| --- | --- | --- |\n| Minisat2.2 | 138(65-73) | 1194.85s |\n| SIZE-Glucose | 156(67-89) | 1396.73s |\n| CVSIDS-Glucose | 165(67-98) | 1368.99s |","| CVSIDS-Glucose | 240(140-100) | 622.23s |\n| --- | --- | --- |\n| LBD-Glucose | 236(136-100) | 481.66s |\n| DegComp-Glucose | 248(146-102) | 571.31s |",0]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |","| 75.9 | 109.2 | 16.5 |\n| --- | --- | --- |\n| 72.9 | 103.1 | 14.6 |\n| 69.3 | 96.4 | 11.6 |",1]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |","| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 82.1 | 111.3 | 18.8 |\n| 73.2 | 113.1 | 11.2 |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",0]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 75.9 | 109.2 | 16.5 |","| 72.9 | 103.1 | 14.6 |\n| --- | --- | --- |\n| 69.3 | 96.4 | 11.6 |",1]
["| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 75.9 | 109.2 | 16.5 |","| 73.2 | 113.1 | 11.2 |\n| --- | --- | --- |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",0]
["| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 |","| CUB-200Birds | .694 | .3133 | .2403 | .1562 | .2417 | .1653 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Caltech-256 | 1.2 | .5587 | .3842 | .3772 | .5587 | .2659 |\n| OlivettiFaces | .053 | .9917 | .4917 | .4833 | 1.000 | .8000 |\n| StanfordDogs | .820 | .4696 | .3677 | .2342 | .2277 | .0599 |\n| VOC2012 | 1.4 | .5872 | .5204 | .5459 | .4628 | .2516 |",1]
["| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 |","| Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |\n| --- | --- | --- | --- | --- |\n| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |\n| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |\n| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |\n| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |\n| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",0]
["| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 |\n| CUB-200Birds | .694 | .3133 | .2403 | .1562 | .2417 | .1653 |\n| Caltech-256 | 1.2 | .5587 | .3842 | .3772 | .5587 | .2659 |","| OlivettiFaces | .053 | .9917 | .4917 | .4833 | 1.000 | .8000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| StanfordDogs | .820 | .4696 | .3677 | .2342 | .2277 | .0599 |\n| VOC2012 | 1.4 | .5872 | .5204 | .5459 | .4628 | .2516 |",1]
["| Dataset | Size(GB) | NET(F16) | NET(F19) | NET(F22) | FT(F16) | FT(F16out) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Caltech-101 | .157 | .7240 | .5388 | .5371 | .6805 | .6520 |\n| CUB-200Birds | .694 | .3133 | .2403 | .1562 | .2417 | .1653 |\n| Caltech-256 | 1.2 | .5587 | .3842 | .3772 | .5587 | .2659 |","| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| --- | --- | --- | --- | --- |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |\n| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |\n| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |\n| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",0]
["| Model | time(s) |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |\n| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |\n| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |\n| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |\n| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |\n| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |\n| Model | totalmemory(GB) |  |  |  |  |  |  |  |  |  |  |  |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |","| SCM2 | 3.68 | 4.91 | 3.75 | 3.83 | 5.24 | 7.00 | 3.69 | 4.92 | 3.80 | 3.93 | 4.35 | 4.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SCM5 | 7.32 | 11.07 | 7.46 | 7.61 | 9.26 | 13.93 | 7.33 | 11.03 | 7.53 | 7.72 | 8.65 | 9.61 |\n| SCR2 | 0.51 | 0.63 | 0.57 | 0.65 | 0.90 | 1.43 | 0.52 | 0.66 | 0.60 | 0.68 | 0.91 | 1.38 |\n| SCR5 | 0.99 | 1.50 | 1.07 | 1.16 | 1.58 | 2.55 | 1.00 | 1.51 | 1.11 | 1.21 | 1.47 | 2.00 |\n| TSC2 | 0.26 | 0.27 | 0.31 | 0.37 | 0.53 | 0.83 | 0.27 | 0.29 | 0.33 | 0.42 | 0.61 | 0.97 |\n| TSC5 | 0.47 | 0.50 | 0.54 | 0.62 | 0.79 | 1.16 | 0.48 | 0.51 | 0.57 | 0.65 | 0.86 | 1.27 |",1]
["| Model | time(s) |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |\n| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |\n| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |\n| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |\n| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |\n| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |\n| Model | totalmemory(GB) |  |  |  |  |  |  |  |  |  |  |  |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |","| Synchronous | Asynchronous |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Machine | DSSize | STEP01 | STEP2 | Time | STEP1 | STEP2 | Time |\n| M1 | 10000 | 21270 | 1104 | 22374 | 21270 | 554 | 21824 |\n| M2 | 2500 | 1060 | 20862 | 21922 | 1060 | 2515 | 3575 |\n| M3 | 3275 | 5093 | 16930 | 22023 | 5093 | 2017 | 7110 |\n| M4 | 5000 | 4592 | 17644 | 22236 | 4591 | 2620 | 7211 |\n| M5 | 1666 | 227 | 21642 | 21869 | 227 | 391 | 618 |\n| M6 | 2000 | 292 | 21736 | 22028 | 292 | 416 | 708 |\n| M7 | 5000 | 7520 | 14665 | 22185 | 7515 | 13949 | 21464 |\n| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",0]
["| Model | time(s) |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |\n| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |\n| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |\n| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |\n| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |\n| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |\n| Model | totalmemory(GB) |  |  |  |  |  |  |  |  |  |  |  |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |","| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SCM2 | 3.68 | 4.91 | 3.75 | 3.83 | 5.24 | 7.00 | 3.69 | 4.92 | 3.80 | 3.93 | 4.35 | 4.98 |\n| SCM5 | 7.32 | 11.07 | 7.46 | 7.61 | 9.26 | 13.93 | 7.33 | 11.03 | 7.53 | 7.72 | 8.65 | 9.61 |\n| SCR2 | 0.51 | 0.63 | 0.57 | 0.65 | 0.90 | 1.43 | 0.52 | 0.66 | 0.60 | 0.68 | 0.91 | 1.38 |\n| SCR5 | 0.99 | 1.50 | 1.07 | 1.16 | 1.58 | 2.55 | 1.00 | 1.51 | 1.11 | 1.21 | 1.47 | 2.00 |\n| TSC2 | 0.26 | 0.27 | 0.31 | 0.37 | 0.53 | 0.83 | 0.27 | 0.29 | 0.33 | 0.42 | 0.61 | 0.97 |\n| TSC5 | 0.47 | 0.50 | 0.54 | 0.62 | 0.79 | 1.16 | 0.48 | 0.51 | 0.57 | 0.65 | 0.86 | 1.27 |",1]
["| Model | time(s) |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |\n| 1 | 2 | 4 | 8 | 16 | 32 | 1 | 2 | 4 | 8 | 16 | 32 |  |\n| SCM2 | 2016 | 1071 | 555 | 284 | 192 | 134 | 1055 | 583 | 314 | 162 | 87 | 48 |\n| SCM5 | 4193 | 2290 | 1152 | 601 | 346 | 284 | 2294 | 1156 | 675 | 358 | 192 | 106 |\n| SCR2 | 276 | 144 | 73 | 38 | 23 | 18 | 144 | 79 | 42 | 21 | 11 | 6 |\n| SCR5 | 591 | 308 | 159 | 81 | 49 | 42 | 315 | 178 | 97 | 50 | 26 | 15 |\n| TSC2 | 125 | 65 | 33 | 17 | 11 | 9 | 62 | 35 | 18 | 9 | 5 | 3 |\n| TSC5 | 264 | 140 | 72 | 37 | 22 | 18 | 140 | 80 | 42 | 22 | 12 | 7 |\n| Model | totalmemory(GB) |  |  |  |  |  |  |  |  |  |  |  |\n| recursive | LCA |  |  |  |  |  |  |  |  |  |  |  |","| M8 | 1500 | 200 | 21842 | 22042 | 195 | 4605 | 4800 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TotalExec-Time | 22374 | TotalExec-Time | 21824 |  |  |  |  |",0]
["| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |\n| --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |\n| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 |\n| Human | 98.32 | 99.87 | 98.89 | 100.00 | 99.21 | 100.00 |","| Multi-ScaleCNN | 98.61 | 99.87 | 94.44 | 97.18 | 98.3 | 98.63 |\n| --- | --- | --- | --- | --- | --- | --- |\n| pLSA | 98.82 | 98.27 | 97.93 | 96.86 | 96.95 | 100.00 |\n| RandomForest | 95.95 | 99.13 | 87.50 | 99.27 | 92.08 | 98.73 |",1]
["| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |\n| --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |\n| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 |\n| Human | 98.32 | 99.87 | 98.89 | 100.00 | 99.21 | 100.00 |","| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |\n| --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |\n| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 |","| Human | 98.32 | 99.87 | 98.89 | 100.00 | 99.21 | 100.00 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Multi-ScaleCNN | 98.61 | 99.87 | 94.44 | 97.18 | 98.3 | 98.63 |\n| pLSA | 98.82 | 98.27 | 97.93 | 96.86 | 96.95 | 100.00 |\n| RandomForest | 95.95 | 99.13 | 87.50 | 99.27 | 92.08 | 98.73 |",1]
["| Algorithm | SpeedLimits | Prohibitions | Derestrictions | Mandatory | Danger | Unique |\n| --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod | 99.86 | 100 | 99.95 | 99.72 | 99.89 | 99.87 |\n| CommitteeofCNNs | 99.47 | 99.93 | 99.72 | 99.89 | 99.07 | 99.22 |","| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |","| can62 | 57 | 119 | 0.500 | 0.15 |\n| --- | --- | --- | --- | --- |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",1]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |","| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |\n| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |\n| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |\n| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |\n| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |\n| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |\n| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |\n| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |\n| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |\n| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |\n| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |\n| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |\n| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |\n| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |\n| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |\n| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |\n| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |\n| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |\n| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |\n| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |\n| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |\n| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |\n| ﬁdapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |\n| ﬁdap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 |",0]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |\n| can62 | 57 | 119 | 0.500 | 0.15 |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |","| can24 | 0 | 17 | 0.000 | 0.05 |\n| --- | --- | --- | --- | --- |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",1]
["| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |\n| can62 | 57 | 119 | 0.500 | 0.15 |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |","| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |\n| --- | --- | --- | --- | --- | --- | --- |\n| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |\n| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |\n| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |\n| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |\n| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |\n| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |\n| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |\n| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |\n| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |\n| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |\n| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |\n| ﬁdapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |\n| ﬁdap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 |",0]
["| Model | MSE |\n| --- | --- |\n| GLM5 | 0.4098 |\n| GLM6 | 0.3649 |","| GLM7 | 0.3596 |\n| --- | --- |\n| FuzzyBayesian | 0.3654 |",1]
["| Model | MSE |\n| --- | --- |\n| GLM5 | 0.4098 |\n| GLM6 | 0.3649 |","| Model | NDCG@1 | NDCG@3 | MAP@1 | MAP@3 |\n| --- | --- | --- | --- | --- |\n| Fuzzy | 0.535 | 0.576 | 0.087 | 0.144 |\n| E-RNN | 0.617 | 0.636 | 0.094 | 0.159 |\n| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |\n| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |\n| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |\n| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |\n| NB | 0.619 | 0.611 | 0.092 | 0.151 |\n| SVM | 0.620 | 0.646 | 0.096 | 0.156 |\n| LSA | 0.639 | 0.651 | 0.096 | 0.153 |\n| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |\n| TextRank | 0.629 | 0.645 | 0.095 | 0.153 |",0]
["| Model | MSE |\n| --- | --- |\n| GLM5 | 0.4098 |","| GLM6 | 0.3649 |\n| --- | --- |\n| GLM7 | 0.3596 |\n| FuzzyBayesian | 0.3654 |",1]
["| Model | MSE |\n| --- | --- |\n| GLM5 | 0.4098 |","| EC-RNN | 0.642 | 0.682 | 0.102 | 0.162 |\n| --- | --- | --- | --- | --- |\n| CNN-RNN | 0.615 | 0.658 | 0.090 | 0.151 |\n| A-RNN | 0.630 | 0.679 | 0.109 | 0.155 |\n| AC-RNN | 0.635 | 0.667 | 0.116 | 0.160 |\n| NB | 0.619 | 0.611 | 0.092 | 0.151 |\n| SVM | 0.620 | 0.646 | 0.096 | 0.156 |\n| LSA | 0.639 | 0.651 | 0.096 | 0.153 |\n| LexRank | 0.607 | 0.644 | 0.095 | 0.153 |\n| TextRank | 0.629 | 0.645 | 0.095 | 0.153 |",0]
["| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |\n| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |\n| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |\n| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |\n| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |\n| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |\n| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |\n| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |\n| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |\n| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |\n| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |\n| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |\n| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |\n| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |\n| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |\n| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |\n| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |\n| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 |","| SORT | Station | 0.72 | 0.85 | 0.63 | 0.70 | 1.00 | 0.74 | 4968 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OUR | Station | 0.70 | 0.62 | 0.62 | 0.77 | 0.99 | 0.99 | 579 |",1]
["| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |\n| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |\n| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |\n| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |\n| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |\n| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |\n| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |\n| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |\n| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |\n| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |\n| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |\n| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |\n| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |\n| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |\n| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |\n| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |\n| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |\n| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 |","| Dataset | c | DPBook | EM | SVT |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1:1 | 1:3 | 1:k | 1:k | 1:1 |  |  |  |  |\n| BMS-PO | 50 | 0.061 | 0.001 | 0.010 | 0.008 | 0.015 | 0.008 | 0.002 |\n| 100 | 0.561 | 0.006 | 0.242 | 0.087 | 0.070 | 0.046 | 0.049 |  |\n| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |\n| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |\n| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |\n| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |\n| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |\n| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |\n| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |\n| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |\n| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |\n| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |\n| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |\n| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |\n| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |","| SORT | Hotel | 0.88(0.36) | 0.97 | 0.81 | 0.82 | 0.99 | 0.83 | 191 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OUR | Hotel | 0.94(0.38) | 0.94 | 0.94 | 0.97 | 1.00 | 1.00 | 314 |\n| KSP | Station | 0.45 | 0.44 | 0.45 | 0.80 | 0.93 | 0.95 | 10957 |\n| MDP | Station | 0.75 | 0.70 | 0.80 | 0.68 | 0.81 | 0.93 | 464 |\n| RNN | Station | 0.40 | 0.39 | 0.40 | 0.68 | 0.90 | 0.94 | 10870 |\n| SORT | Station | 0.72 | 0.85 | 0.63 | 0.70 | 1.00 | 0.74 | 4968 |\n| OUR | Station | 0.70 | 0.62 | 0.62 | 0.77 | 0.99 | 0.99 | 579 |",1]
["| Method | Dataset | IDF1 | IDPR | IDRC | MOTA | PR | RC | MT |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KSP | Town | 0.56(0.47) | 0.55 | 0.57 | 0.87 | 0.93 | 0.97 | 226 |\n| MDP | Town | 0.87(0.84) | 0.92 | 0.82 | 0.87 | 0.99 | 0.89 | 184 |\n| RNN | Town | 0.65(0.57) | 0.65 | 0.65 | 0.85 | 0.95 | 0.95 | 222 |\n| SORT | Town | 0.88(0.85) | 0.93 | 0.84 | 0.90 | 1.00 | 0.90 | 203 |\n| OUR | Town | 0.97(0.92) | 0.97 | 0.97 | 0.98 | 1.00 | 1.00 | 245 |\n| KSP | ETH | 0.59(0.12) | 0.58 | 0.60 | 0.70 | 0.87 | 0.89 | 287 |\n| MDP | ETH | 0.89(0.18) | 0.91 | 0.87 | 0.85 | 0.95 | 0.91 | 300 |\n| RNN | ETH | 0.65(0.16) | 0.64 | 0.65 | 0.73 | 0.89 | 0.90 | 289 |\n| SORT | ETH | 0.93(0.20) | 0.98 | 0.88 | 0.85 | 0.97 | 0.87 | 307 |\n| OUR | ETH | 0.92(0.19) | 0.92 | 0.92 | 0.94 | 0.98 | 0.98 | 347 |\n| KSP | Hotel | 0.60(0.21) | 0.61 | 0.58 | 0.74 | 0.90 | 0.86 | 217 |\n| MDP | Hotel | 0.85(0.33) | 0.87 | 0.83 | 0.84 | 0.95 | 0.90 | 249 |\n| RNN | Hotel | 0.70(0.28) | 0.69 | 0.71 | 0.78 | 0.91 | 0.94 | 284 |","| 150 | 0.674 | 0.048 | 0.502 | 0.339 | 0.243 | 0.209 | 0.184 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 200 | 0.691 | 0.093 | 0.632 | 0.571 | 0.518 | 0.481 | 0.302 |  |\n| 250 | 0.658 | 0.123 | 0.645 | 0.596 | 0.574 | 0.554 | 0.312 |  |\n| 300 | 0.619 | 0.140 | 0.645 | 0.599 | 0.557 | 0.581 | 0.283 |  |\n| Kosarak | 50 | 0.731 | 0.000 | 0.027 | 0.010 | 0.008 | 0.006 | 0.004 |\n| 100 | 0.984 | 0.033 | 0.932 | 0.658 | 0.346 | 0.398 | 0.777 |  |\n| 150 | 0.986 | 0.139 | 0.974 | 0.932 | 0.836 | 0.850 | 0.931 |  |\n| 200 | 0.987 | 0.218 | 0.981 | 0.969 | 0.936 | 0.955 | 0.958 |  |\n| 250 | 0.984 | 0.273 | 0.980 | 0.975 | 0.963 | 0.963 | 0.960 |  |\n| 300 | 0.986 | 0.315 | 0.981 | 0.976 | 0.975 | 0.971 | 0.967 |  |\n| AOL | 50 | 0.219 | 0.001 | 0.011 | 0.009 | 0.014 | 0.008 | 0.002 |\n| 100 | 0.995 | 0.004 | 0.746 | 0.066 | 0.078 | 0.022 | 0.548 |  |\n| 150 | 1.000 | 0.153 | 0.987 | 0.901 | 0.531 | 0.587 | 0.978 |  |\n| 200 | 1.000 | 0.412 | 0.998 | 0.989 | 0.952 | 0.961 | 0.996 |  |\n| 250 | 1.000 | 0.572 | 1.000 | 0.997 | 0.991 | 0.992 | 0.998 |  |\n| 300 | 1.000 | 0.683 | 0.999 | 0.999 | 0.995 | 0.997 | 0.999 |  |",0]
["| Method | Ratio(e)1 | Ratio(e)2 | AUC |\n| --- | --- | --- | --- |\n| FilteringOnly | - | - | 0.92116 |\n| Hybrid | 0.02 | 0.008 | 0.97549 |","| Hybrid | 0.04 | 0.008 | 0.97082 |\n| --- | --- | --- | --- |\n| Hybrid | 0.02 | 0.01 | 0.97536 |\n| Hybrid | 0.04 | 0.01 | 0.97069 |",1]
["| Method | Ratio(e)1 | Ratio(e)2 | AUC |\n| --- | --- | --- | --- |\n| FilteringOnly | - | - | 0.92116 |\n| Hybrid | 0.02 | 0.008 | 0.97549 |","| method | AU01 | AU02 | AU04 | AU06 | AU09 | AU12 | AU25 | AU26 | avg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APL | 11.4 | 12.0 | 30.1 | 12.4 | 10.1 | 65.9 | 21.4 | 26.0 | 23.8 |\n| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |\n| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |\n| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",0]
["| Method | Ratio(e)1 | Ratio(e)2 | AUC |\n| --- | --- | --- | --- |\n| FilteringOnly | - | - | 0.92116 |\n| Hybrid | 0.02 | 0.008 | 0.97549 |","| Hybrid | 0.04 | 0.008 | 0.97082 |\n| --- | --- | --- | --- |\n| Hybrid | 0.02 | 0.01 | 0.97536 |\n| Hybrid | 0.04 | 0.01 | 0.97069 |",1]
["| Method | Ratio(e)1 | Ratio(e)2 | AUC |\n| --- | --- | --- | --- |\n| FilteringOnly | - | - | 0.92116 |\n| Hybrid | 0.02 | 0.008 | 0.97549 |","| DRML | 17.3 | 17.7 | 37.4 | 29.0 | 10.7 | 37.7 | 38.5 | 20.1 | 26.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ROI | 41.5 | 26.4 | 66.4 | 50.7 | 8.5 | 89.3 | 88.9 | 15.6 | 48.5 |\n| DSIN | [42.4] | [39.0] | [68.4] | 28.6 | [46.8] | 70.8 | [90.4] | [42.2] | [53.6] |\n| DSIN | 46.9 | 42.5 | 68.8 | [32.0] | 51.8 | [73.1] | 91.9 | 46.6 | 56.7 |",0]
["| Datasets |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| NoofInstances/Classes |  |  |  |  |\n| Maxnumberofnodes |  |  |  |  |","|  |  | 34.60(0.48) | 70.73(0.10) | 70.15(0.12) |\n| --- | --- | --- | --- | --- |\n|  | 88.61(0.21) |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["| Datasets |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| NoofInstances/Classes |  |  |  |  |\n| Maxnumberofnodes |  |  |  |  |","| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |\n| splice | 60 | 3,175 | 3 |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| Datasets |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| NoofInstances/Classes |  |  |  |  |\n| Maxnumberofnodes |  |  |  |  |\n|  |  | 34.60(0.48) | 70.73(0.10) | 70.15(0.12) |\n|  | 88.61(0.21) |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["| Datasets |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| NoofInstances/Classes |  |  |  |  |\n| Maxnumberofnodes |  |  |  |  |\n|  |  | 34.60(0.48) | 70.73(0.10) | 70.15(0.12) |\n|  | 88.61(0.21) |  |  |  |","| splice | 60 | 3,175 | 3 |\n| --- | --- | --- | --- |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["|  | CCsAUCAUCNSS |\n| --- | --- |\n| SAM-ResNet | 0.8420.7790.8833.204 |","| DSCLRCN | 0.8310.7760.8843.157 |\n| --- | --- |\n| SAM-VGG | 0.8250.7740.8813.143 |\n| ML-Net | 0.7430.7680.8662.789 |\n| MixNet | 0.7300.7710.8612.767 |\n| SU | 0.7800.7600.8802.610 |\n| SalGAN(*) | 0.7810.7720.7812.459 |\n| SalNet | 0.6220.7240.8581.859 |\n| DeepGazeII | 0.5090.7610.8851.336 |",1]
["|  | CCsAUCAUCNSS |\n| --- | --- |\n| SAM-ResNet | 0.8420.7790.8833.204 |","|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| DSCLRCN | 0.680.800.720.872.352.17 |\n| SAM-ResNet | 0.680.780.700.872.342.15 |\n| SAM-VGG | 0.670.770.710.872.302.14 |\n| DeepFix | 0.670.780.710.872.262.04 |\n| SALICON | 0.600.740.740.872.122.62 |\n| PDP | 0.600.700.730.852.052.58 |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |\n| SalNet | 0.520.580.690.831.513.31 |\n| BMS | 0.510.550.650.831.413.35 |\n| Mr-CNN | 0.480.480.690.791.373.71 |\n| DeepGazeII | 0.460.520.720.881.293.98 |\n| GBVS | 0.480.480.630.811.243.51 |\n| eDN | 0.410.450.620.821.144.56 |",0]
["|  | CCsAUCAUCNSS |\n| --- | --- |\n| SAM-ResNet | 0.8420.7790.8833.204 |\n| DSCLRCN | 0.8310.7760.8843.157 |\n| SAM-VGG | 0.8250.7740.8813.143 |\n| ML-Net | 0.7430.7680.8662.789 |\n| MixNet | 0.7300.7710.8612.767 |\n| SU | 0.7800.7600.8802.610 |\n| SalGAN(*) | 0.7810.7720.7812.459 |","| SalNet | 0.6220.7240.8581.859 |\n| --- | --- |\n| DeepGazeII | 0.5090.7610.8851.336 |",1]
["|  | CCsAUCAUCNSS |\n| --- | --- |\n| SAM-ResNet | 0.8420.7790.8833.204 |\n| DSCLRCN | 0.8310.7760.8843.157 |\n| SAM-VGG | 0.8250.7740.8813.143 |\n| ML-Net | 0.7430.7680.8662.789 |\n| MixNet | 0.7300.7710.8612.767 |\n| SU | 0.7800.7600.8802.610 |\n| SalGAN(*) | 0.7810.7720.7812.459 |","| SALICON | 0.600.740.740.872.122.62 |\n| --- | --- |\n| PDP | 0.600.700.730.852.052.58 |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |\n| SalNet | 0.520.580.690.831.513.31 |\n| BMS | 0.510.550.650.831.413.35 |\n| Mr-CNN | 0.480.480.690.791.373.71 |\n| DeepGazeII | 0.460.520.720.881.293.98 |\n| GBVS | 0.480.480.630.811.243.51 |\n| eDN | 0.410.450.620.821.144.56 |",0]
["| Tags | b | c | f | m | o | p | v | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DevelopmentSet |  |  |  |  |  |  |  |","| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN*<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.074<br>0.464<br>0.205<br>0.074<br>0.070<br>-<br>0.078<br>0.067<br>0.068<br>0.067 | 0.225<br>0.438<br>0.199<br>0.165<br>0.210<br>-<br>0.145<br>0.142<br>0.134<br>0.124 | 0.289<br>0.430<br>0.284<br>0.249<br>0.250<br>-<br>0.230<br>0.206<br>0.206<br>0.202 | 0.269<br>0.470<br>0.390<br>0.216<br>0.150<br>-<br>0.126<br>0.102<br>0.087<br>0.092 | 0.290<br>0.524<br>0.361<br>0.278<br>0.260<br>-<br>0.268<br>0.256<br>0.238<br>0.231 | 0.248<br>0.518<br>0.308<br>0.210<br>0.210<br>-<br>0.183<br>0.148<br>0.146<br>0.143 | 0.050<br>0.274<br>0.090<br>0.039<br>0.050<br>-<br>0.029<br>0.025<br>0.023<br>0.023 | 0.206<br>0.445<br>0.263<br>0.176<br>0.171<br>-<br>0.151<br>0.135<br>0.129<br>0.126 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | EvaluationSet |  |  |  |  |  |  |  |\n| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.117<br>0.032<br>0.129<br>0.032<br>0.022<br>0.032<br>0.032<br>0.032<br>0.023<br>0.014 | 0.191<br>0.385<br>0.166<br>0.177<br>0.25<br>0.21<br>0.204<br>0.184<br>0.184<br>0.210 | 0.314<br>0.407<br>0.241<br>0.179<br>0.25<br>0.214<br>0.21<br>0.204<br>0.203<br>0.207 | 0.326<br>0.472<br>0.353<br>0.253<br>0.159<br>0.182<br>0.209<br>0.172<br>0.165<br>0.149 | 0.249<br>0.536<br>0.336<br>0.266<br>0.258<br>0.32<br>0.288<br>0.272<br>0.280<br>0.256 | 0.212<br>0.506<br>0.268<br>0.207<br>0.208<br>0.168<br>0.194<br>0.179<br>0.174<br>0.175 | 0.056<br>0.473<br>0.093<br>0.102<br>0.027<br>0.035<br>0.039<br>0.053<br>0.041<br>0.022 | 0.209<br>0.402<br>0.227<br>0.174<br>0.168<br>0.166<br>0.168<br>0.157<br>0.153<br>0.148 |",1]
["| Tags | b | c | f | m | o | p | v | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DevelopmentSet |  |  |  |  |  |  |  |","| Methods | COCO |\n| --- | --- |\n| B-1B-2B-3B-4MC |  |\n| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 |\n| LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |\n| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |",0]
["| Tags | b | c | f | m | o | p | v | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DevelopmentSet |  |  |  |  |  |  |  |\n| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN*<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.074<br>0.464<br>0.205<br>0.074<br>0.070<br>-<br>0.078<br>0.067<br>0.068<br>0.067 | 0.225<br>0.438<br>0.199<br>0.165<br>0.210<br>-<br>0.145<br>0.142<br>0.134<br>0.124 | 0.289<br>0.430<br>0.284<br>0.249<br>0.250<br>-<br>0.230<br>0.206<br>0.206<br>0.202 | 0.269<br>0.470<br>0.390<br>0.216<br>0.150<br>-<br>0.126<br>0.102<br>0.087<br>0.092 | 0.290<br>0.524<br>0.361<br>0.278<br>0.260<br>-<br>0.268<br>0.256<br>0.238<br>0.231 | 0.248<br>0.518<br>0.308<br>0.210<br>0.210<br>-<br>0.183<br>0.148<br>0.146<br>0.143 | 0.050<br>0.274<br>0.090<br>0.039<br>0.050<br>-<br>0.029<br>0.025<br>0.023<br>0.023 | 0.206<br>0.445<br>0.263<br>0.176<br>0.171<br>-<br>0.151<br>0.135<br>0.129<br>0.126 |","|  | EvaluationSet |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.117<br>0.032<br>0.129<br>0.032<br>0.022<br>0.032<br>0.032<br>0.032<br>0.023<br>0.014 | 0.191<br>0.385<br>0.166<br>0.177<br>0.25<br>0.21<br>0.204<br>0.184<br>0.184<br>0.210 | 0.314<br>0.407<br>0.241<br>0.179<br>0.25<br>0.214<br>0.21<br>0.204<br>0.203<br>0.207 | 0.326<br>0.472<br>0.353<br>0.253<br>0.159<br>0.182<br>0.209<br>0.172<br>0.165<br>0.149 | 0.249<br>0.536<br>0.336<br>0.266<br>0.258<br>0.32<br>0.288<br>0.272<br>0.280<br>0.256 | 0.212<br>0.506<br>0.268<br>0.207<br>0.208<br>0.168<br>0.194<br>0.179<br>0.174<br>0.175 | 0.056<br>0.473<br>0.093<br>0.102<br>0.027<br>0.035<br>0.039<br>0.053<br>0.041<br>0.022 | 0.209<br>0.402<br>0.227<br>0.174<br>0.168<br>0.166<br>0.168<br>0.157<br>0.153<br>0.148 |",1]
["| Tags | b | c | f | m | o | p | v | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | DevelopmentSet |  |  |  |  |  |  |  |\n| GMM(DCASEbaseline)<br>Chunk-SVM<br>Frame-SVM<br>Yun-MFCC-GMM<br>Cakir-MFCC-CNN<br>Lidy-CQT-CNN*<br>MFCC-DNN<br>MBK-DNN<br>ProposedsDAE-DNN<br>ProposedaDAE-DNN | 0.074<br>0.464<br>0.205<br>0.074<br>0.070<br>-<br>0.078<br>0.067<br>0.068<br>0.067 | 0.225<br>0.438<br>0.199<br>0.165<br>0.210<br>-<br>0.145<br>0.142<br>0.134<br>0.124 | 0.289<br>0.430<br>0.284<br>0.249<br>0.250<br>-<br>0.230<br>0.206<br>0.206<br>0.202 | 0.269<br>0.470<br>0.390<br>0.216<br>0.150<br>-<br>0.126<br>0.102<br>0.087<br>0.092 | 0.290<br>0.524<br>0.361<br>0.278<br>0.260<br>-<br>0.268<br>0.256<br>0.238<br>0.231 | 0.248<br>0.518<br>0.308<br>0.210<br>0.210<br>-<br>0.183<br>0.148<br>0.146<br>0.143 | 0.050<br>0.274<br>0.090<br>0.039<br>0.050<br>-<br>0.029<br>0.025<br>0.023<br>0.023 | 0.206<br>0.445<br>0.263<br>0.176<br>0.171<br>-<br>0.151<br>0.135<br>0.129<br>0.126 |","| LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 |\n| --- | --- |\n| SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |",0]
["| M | init.MSE | conv.MSE | gain(dB) | steps |\n| --- | --- | --- | --- | --- |\n| Constellation(680×576) |  |  |  |  |\n| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |\n| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |\n| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |\n| Trellis(680×576) |  |  |  |  |","| 64 | 8.56·10 | 3.98·10 | 3.33 | 18 |\n| --- | --- | --- | --- | --- |\n| 128 | 7.45·10 | 2.00·10 | 5.71 | 13 |\n| 256 | 3.39·10 | 6.51·10 | 7.17 | 8 |\n| BlockDiagram(529×1123) |  |  |  |  |\n| 64 | 8.38·10 | 7.02·10 | 0.77 | 7 |\n| 128 | 5.79·10 | 3.97·10 | 1.64 | 6 |\n| 256 | 2.79·10 | 1.66·10 | 2.25 | 5 |\n| 512 | 1.23·10 | 4.71·10 | 4.17 | 5 |\n| SampleText(512×512) |  |  |  |  |\n| 64 | 6.40·10 | 4.59·10 | 1.44 | 10 |\n| 128 | 5.46·10 | 2.99·10 | 2.62 | 7 |\n| 256 | 3.39·10 | 1.41·10 | 3.81 | 4 |",1]
["| M | init.MSE | conv.MSE | gain(dB) | steps |\n| --- | --- | --- | --- | --- |\n| Constellation(680×576) |  |  |  |  |\n| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |\n| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |\n| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |\n| Trellis(680×576) |  |  |  |  |","|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| M | init.MSE | conv.MSE | gain(dB) | steps |\n| --- | --- | --- | --- | --- |\n| Constellation(680×576) |  |  |  |  |\n| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |\n| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |\n| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |\n| Trellis(680×576) |  |  |  |  |\n| 64 | 8.56·10 | 3.98·10 | 3.33 | 18 |\n| 128 | 7.45·10 | 2.00·10 | 5.71 | 13 |\n| 256 | 3.39·10 | 6.51·10 | 7.17 | 8 |\n| BlockDiagram(529×1123) |  |  |  |  |\n| 64 | 8.38·10 | 7.02·10 | 0.77 | 7 |\n| 128 | 5.79·10 | 3.97·10 | 1.64 | 6 |","| 256 | 2.79·10 | 1.66·10 | 2.25 | 5 |\n| --- | --- | --- | --- | --- |\n| 512 | 1.23·10 | 4.71·10 | 4.17 | 5 |\n| SampleText(512×512) |  |  |  |  |\n| 64 | 6.40·10 | 4.59·10 | 1.44 | 10 |\n| 128 | 5.46·10 | 2.99·10 | 2.62 | 7 |\n| 256 | 3.39·10 | 1.41·10 | 3.81 | 4 |",1]
["| M | init.MSE | conv.MSE | gain(dB) | steps |\n| --- | --- | --- | --- | --- |\n| Constellation(680×576) |  |  |  |  |\n| 64 | 2.08·10 | 7.86·10 | 4.23 | 18 |\n| 128 | 9.99·10 | 3.05·10 | 5.15 | 14 |\n| 256 | 4.72·10 | 7.25·10 | 8.14 | 10 |\n| Trellis(680×576) |  |  |  |  |\n| 64 | 8.56·10 | 3.98·10 | 3.33 | 18 |\n| 128 | 7.45·10 | 2.00·10 | 5.71 | 13 |\n| 256 | 3.39·10 | 6.51·10 | 7.17 | 8 |\n| BlockDiagram(529×1123) |  |  |  |  |\n| 64 | 8.38·10 | 7.02·10 | 0.77 | 7 |\n| 128 | 5.79·10 | 3.97·10 | 1.64 | 6 |","| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| --- | --- | --- | --- | --- | --- |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |","| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |\n| --- | --- | --- | --- | --- | --- |\n| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",1]
["|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |","| nc | Methods | LRC | SRC | BSRC | CRC | MRSRC | MRBSRC | MRCRC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 16 | Mean<br>Min<br>Max | 71.67<br>69.90<br>73.03<br>73.66<br>72.78<br>74.59<br>74.38<br>73.68<br>75.08<br>74.88<br>73.77<br>75.66 | 65.94<br>64.80<br>66.94<br>67.17<br>65.87<br>67.93<br>67.60<br>66.28<br>68.59<br>68.22<br>67.68<br>69.16 | 58.50<br>56.50<br>59.62<br>56.55<br>54.77<br>58.39<br>55.10<br>53.54<br>56.66<br>53.17<br>52.47<br>53.95 | 59.96<br>58.63<br>61.43<br>62.55<br>60.36<br>63.98<br>63.03<br>62.17<br>64.47<br>63.62<br>62.99<br>64.80 | 81.88<br>80.35<br>82.98<br>85.01<br>83.72<br>85.94<br>87.68<br>86.60<br>88.73<br>89.35<br>88.73<br>90.05 | 76.77<br>75.08<br>77.96<br>79.67<br>77.88<br>81.25<br>82.84<br>82.07<br>85.03<br>85.21<br>84.05<br>85.94 | 81.95<br>81.25<br>82.89<br>82.53<br>81.17<br>83.47<br>82.86<br>82.07<br>83.80<br>83.08<br>82.24<br>84.05 |\n| 20 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 24 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |\n| 28 | Mean<br>Min<br>Max |  |  |  |  |  |  |  |",0]
["|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |\n| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |","| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| --- | --- | --- | --- | --- | --- |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",1]
["|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |\n| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |","| 24 | Mean<br>Min<br>Max |\n| --- | --- |\n| 28 | Mean<br>Min<br>Max |",0]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |\n| Stradvision-2 | 0.67920.32210.4370 | --- |\n| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |\n| StradVisionv1 | 0.28510.39770.3321 | --- |\n| NJUText(Version3) | 0.4880.24510.3263 | --- |\n| BeamsearchCUNI | 0.37830.15650.2214 | 0.33720.14010.1980 |\n| Deep2Text-MO | 0.21340.13820.1677 | 0.21340.13820.1677 |","| Baseline(OpenCV+Tesseract) | 0.4090.08330.1384 | 0.32480.07370.1201 |\n| --- | --- | --- |\n| BeamsearchCUNI+S | 0.81080.07220.1326 | 0.05920.64740.1085 |",1]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |\n| Stradvision-2 | 0.67920.32210.4370 | --- |\n| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |\n| StradVisionv1 | 0.28510.39770.3321 | --- |\n| NJUText(Version3) | 0.4880.24510.3263 | --- |\n| BeamsearchCUNI | 0.37830.15650.2214 | 0.33720.14010.1980 |\n| Deep2Text-MO | 0.21340.13820.1677 | 0.21340.13820.1677 |","| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.92530.79210.8535 | 0.90590.79000.8440 |\n| Deep2TextII+ | 0.92270.73920.8208 | 0.89160.73780.8075 |\n| Stradvision-2 | 0.83930.73020.7810 | 0.77610.70860.7408 |\n| Deep2TextII-1 | 0.80970.73370.7698 | 0.80970.73370.7698 |\n| StradVision-1 | 0.84720.70170.7676 | 0.78900.67870.7297 |\n| Deep2TextI | 0.83460.61400.7075 | 0.83460.61400.7075 |\n| PAL(v1.5) | 0.65220.61540.6333 | --- |\n| NJUText(Version3) | 0.60120.41310.4897 | --- |\n| BaselineOpenCV3.0+Tesseract | 0.46480.37130.4128 | 0.47200.32820.3872 |",0]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |\n| Stradvision-2 | 0.67920.32210.4370 | --- |\n| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |\n| StradVisionv1 | 0.28510.39770.3321 | --- |","| NJUText(Version3) | 0.4880.24510.3263 | --- |\n| --- | --- | --- |\n| BeamsearchCUNI | 0.37830.15650.2214 | 0.33720.14010.1980 |\n| Deep2Text-MO | 0.21340.13820.1677 | 0.21340.13820.1677 |\n| Baseline(OpenCV+Tesseract) | 0.4090.08330.1384 | 0.32480.07370.1201 |\n| BeamsearchCUNI+S | 0.81080.07220.1326 | 0.05920.64740.1085 |",1]
["| Algorithm | Strong<br>PRF | Weak<br>PRF |\n| --- | --- | --- |\n| Megvii-Image++ | 0.57480.39380.4674 | 0.49190.3370.4 |\n| Stradvision-2 | 0.67920.32210.4370 | --- |\n| Baseline-TextSpotter | 0.62210.24410.3506 | 0.24960.16560.1991 |\n| StradVisionv1 | 0.28510.39770.3321 | --- |","| PAL(v1.5) | 0.65220.61540.6333 | --- |\n| --- | --- | --- |\n| NJUText(Version3) | 0.60120.41310.4897 | --- |\n| BaselineOpenCV3.0+Tesseract | 0.46480.37130.4128 | 0.47200.32820.3872 |",0]
["|  | Mean | 1quartile | median | 3quartile |\n| --- | --- | --- | --- | --- |\n| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |\n| SYS | 2.625 | 1.355 | 2.412 | 3.087 |\n| PROP | 1.060 | 0.8498 | 1.017 | 1.234 |","| u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |\n| --- | --- | --- | --- | --- |\n| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |\n| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 |",1]
["|  | Mean | 1quartile | median | 3quartile |\n| --- | --- | --- | --- | --- |\n| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |\n| SYS | 2.625 | 1.355 | 2.412 | 3.087 |\n| PROP | 1.060 | 0.8498 | 1.017 | 1.234 |","| Pr.No. | Median | Median | Median | LLEvals |\n| --- | --- | --- | --- | --- |\n| ULAccuracy | LLAccuracy | LLCalls |  |  |\n| SMD1 | 0.000247 | 0.000143 | 4686 | 995.52 |\n| SMD2 | 0.000146 | 0.000169 | 3866 | 921.23 |\n| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |\n| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |\n| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |\n| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 |",0]
["|  | Mean | 1quartile | median | 3quartile |\n| --- | --- | --- | --- | --- |\n| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |\n| SYS | 2.625 | 1.355 | 2.412 | 3.087 |","| PROP | 1.060 | 0.8498 | 1.017 | 1.234 |\n| --- | --- | --- | --- | --- |\n| u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |\n| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |\n| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 |",1]
["|  | Mean | 1quartile | median | 3quartile |\n| --- | --- | --- | --- | --- |\n| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |\n| SYS | 2.625 | 1.355 | 2.412 | 3.087 |","| SMD3 | 0.000442 | 0.000155 | 4494 | 1110.03 |\n| --- | --- | --- | --- | --- |\n| SMD4 | 0.000526 | 0.000171 | 3250 | 749.48 |\n| SMD5 | 0.000011 | 0.000013 | 7404 | 1206.62 |\n| SMD6 | 0.000745 | 0.000351 | 6874 | 1199.66 |",0]
["|  | TheNumberofSpeakersinClusters |  |  |\n| --- | --- | --- | --- |\n|  | min | max | avg |","| Cluster=5 | 23 | 126 | 55.4 |\n| --- | --- | --- | --- |\n| Cluster=10 | 14 | 57 | 27.7 |\n| Cluster=20 | 7 | 23 | 13.9 |",1]
["|  | TheNumberofSpeakersinClusters |  |  |\n| --- | --- | --- | --- |\n|  | min | max | avg |","| Testset | Duration | Nb.speakers | Nb.words |\n| --- | --- | --- | --- |\n| Hub5’00SWB | 2.1h | 40 | 21.4K |\n| Hub5’00CH | 1.6h | 40 | 21.6K |\n| RT’02 | 6.4h | 120 | 64.0K |\n| RT’03 | 7.2h | 144 | 76.0K |\n| RT’04 | 3.4h | 72 | 36.7K |\n| DEV’04f | 3.2h | 72 | 37.8K |",0]
["|  | TheNumberofSpeakersinClusters |  |  |\n| --- | --- | --- | --- |\n|  | min | max | avg |\n| Cluster=5 | 23 | 126 | 55.4 |","| Cluster=10 | 14 | 57 | 27.7 |\n| --- | --- | --- | --- |\n| Cluster=20 | 7 | 23 | 13.9 |",1]
["|  | TheNumberofSpeakersinClusters |  |  |\n| --- | --- | --- | --- |\n|  | min | max | avg |\n| Cluster=5 | 23 | 126 | 55.4 |","| RT’02 | 6.4h | 120 | 64.0K |\n| --- | --- | --- | --- |\n| RT’03 | 7.2h | 144 | 76.0K |\n| RT’04 | 3.4h | 72 | 36.7K |\n| DEV’04f | 3.2h | 72 | 37.8K |",0]
["| Superclass | Intermediateclass |\n| --- | --- |\n| Naturalobject | Fruit(9) |\n| Plant | Vegetable(9) |\n| Flower(3) |  |\n| Animal | Dog(14) |\n| Cat(5) |  |\n| Fish(10) |  |\n| Bird(10) |  |\n| Artifact | Instrument(10) |","| Vehicle(10) |\n| --- |\n| Furniture(10) |\n| Construction(10) |",1]
["| Superclass | Intermediateclass |\n| --- | --- |\n| Naturalobject | Fruit(9) |\n| Plant | Vegetable(9) |\n| Flower(3) |  |\n| Animal | Dog(14) |\n| Cat(5) |  |\n| Fish(10) |  |\n| Bird(10) |  |\n| Artifact | Instrument(10) |","| Class | Flow/RGBaccuracyratio |\n| --- | --- |\n| ‘rockscissorspaper’ | 5.3 |\n| ‘swordﬁghting’ | 3.1 |\n| ‘robotdancing’ | 3.1 |\n| ‘airdrumming’ | 2.8 |\n| ‘exercisingarm’ | 2.5 |\n| ‘makingacake’ | 0.1 |\n| ‘cookingsausages’ | 0.1 |\n| ‘sniﬃng’ | 0.1 |\n| ‘eatingcake’ | 0.0 |\n| ‘makingasandwich’ | 0.0 |",0]
["| Superclass | Intermediateclass |\n| --- | --- |\n| Naturalobject | Fruit(9) |\n| Plant | Vegetable(9) |\n| Flower(3) |  |\n| Animal | Dog(14) |\n| Cat(5) |  |\n| Fish(10) |  |\n| Bird(10) |  |\n| Artifact | Instrument(10) |","| Vehicle(10) |\n| --- |\n| Furniture(10) |\n| Construction(10) |",1]
["| Superclass | Intermediateclass |\n| --- | --- |\n| Naturalobject | Fruit(9) |\n| Plant | Vegetable(9) |\n| Flower(3) |  |\n| Animal | Dog(14) |\n| Cat(5) |  |\n| Fish(10) |  |\n| Bird(10) |  |\n| Artifact | Instrument(10) |","| ‘sniﬃng’ | 0.1 |\n| --- | --- |\n| ‘eatingcake’ | 0.0 |\n| ‘makingasandwich’ | 0.0 |",0]
["|  | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |\n| --- | --- | --- | --- | --- | --- | --- |\n| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |","| mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| --- |\n| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |",1]
["|  | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |\n| --- | --- | --- | --- | --- | --- | --- |\n| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |","|  | 12 | 24 | 60 | 144 | 300 | 600 | 1200 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| mincores1<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=12<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=24<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=144<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=300<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |\n| mincores=600<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |  |",0]
["|  | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |\n| --- | --- | --- | --- | --- | --- | --- |\n| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |","| mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| --- |\n| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |",1]
["|  | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |\n| --- | --- | --- | --- | --- | --- | --- |\n| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |","| mincores=300<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| --- |\n| mincores=600<br>RUNTIME<br>SPEEDUP<br>LOAD-BALANCE<br>SEARCH-OVERHEAD<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |",0]
["| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |\n| --- | --- | --- | --- | --- | --- | --- |\n| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |\n| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 |\n| Halma | 16×16 | 8-move | 19 | 10 | 45 | Unknown |","| Grasshopper | 8×8 | 8-move | 10 | 4 | 21 | 24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ChineseCheckers(8-move) | 9×9 | 8-move | 10 | 5 | 22 | 24 |",1]
["| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |\n| --- | --- | --- | --- | --- | --- | --- |\n| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |\n| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 |\n| Halma | 16×16 | 8-move | 19 | 10 | 45 | Unknown |","| Problem | Conﬁguration | #Men | Board | Shortestsolutionunder<br>4-move6-move8-move |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #1 | Triangle | 6 | 9×9 | 25 | 23 | 16 |\n| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |\n| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |\n| #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |\n| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |\n| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |\n| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |\n| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. |  |  |  |  |  |  |",0]
["| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |\n| --- | --- | --- | --- | --- | --- | --- |\n| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |\n| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 |","| Halma | 16×16 | 8-move | 19 | 10 | 45 | Unknown |\n| --- | --- | --- | --- | --- | --- | --- |\n| Grasshopper | 8×8 | 8-move | 10 | 4 | 21 | 24 |\n| ChineseCheckers(8-move) | 9×9 | 8-move | 10 | 5 | 22 | 24 |",1]
["| Game | Board | Move<br>Rule | Army<br>Size | d(B,R) | Lower<br>Bound(??) | Shortest<br>Game |\n| --- | --- | --- | --- | --- | --- | --- |\n| ChineseCheckers | 9×9 | 6-move | 10 | 10 | 27 | 30 |\n| ChineseCheckers(15man) | 9×9 | 6-move | 15 | 8 | 35 | 36 |","| #2 | Triangle | 10 | 9×9 | 30 | 27(Fig??) | 20 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #3 | Triangle(jumpsonly) | 10 | 9×9 | 46 | 35(Fig??) | 21 |\n| #4 | Triangle | 15 | 9×9 | 36† | 31†(Fig??) | 26† |\n| #5 | Square | 4 | 9×9 | 15 | 15 | 12 |\n| #6 | Square | 9 | 9×9 | 25 | 25 | 16(Fig??) |\n| #7 | Checkersstart | 12 | Fig??b | 20 | 16 | 16 |\n| †-MCCsearchdidnotterminate,ashortersolutionmaybepossible. |  |  |  |  |  |  |",0]
["| ComputeUnits | Memory | Storage | VMType |\n| --- | --- | --- | --- |\n| 1units | 1.875GB | 211.25GB | 1-1(1) |\n| 4units | 7.5GB | 845GB | 1-2(2) |\n| 8units | 15GB | 1690GB | 1-3(3) |\n| 6.5units | 17.1GB | 422.5GB | 2-1(4) |","| 13units | 34.2GB | 845GB | 2-2(5) |\n| --- | --- | --- | --- |\n| 26units | 68.4GB | 1690GB | 2-3(6) |\n| 5units | 1.875GB | 422.5GB | 3-1(7) |\n| 20units | 7GB | 1690GB | 3-2(8) |",1]
["| ComputeUnits | Memory | Storage | VMType |\n| --- | --- | --- | --- |\n| 1units | 1.875GB | 211.25GB | 1-1(1) |\n| 4units | 7.5GB | 845GB | 1-2(2) |\n| 8units | 15GB | 1690GB | 1-3(3) |\n| 6.5units | 17.1GB | 422.5GB | 2-1(4) |","| MEM(GB) | CPU(units) | BW(G) | VM |\n| --- | --- | --- | --- |\n| 1.7 | 1(1coresx1units) | 160 | 1-1(1) |\n| 7.5 | 4(2coresx2units) | 850 | 1-2(2) |\n| 15.0 | 8(4coresx2units) | 1690 | 1-3(3) |\n| 17.1 | 6.5(2coresx3.25units) | 420 | 2-1(4) |\n| 34.2 | 13(4coresx3.25units) | 850 | 2-2(5) |\n| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",0]
["| ComputeUnits | Memory | Storage | VMType |\n| --- | --- | --- | --- |\n| 1units | 1.875GB | 211.25GB | 1-1(1) |\n| 4units | 7.5GB | 845GB | 1-2(2) |\n| 8units | 15GB | 1690GB | 1-3(3) |","| 6.5units | 17.1GB | 422.5GB | 2-1(4) |\n| --- | --- | --- | --- |\n| 13units | 34.2GB | 845GB | 2-2(5) |\n| 26units | 68.4GB | 1690GB | 2-3(6) |\n| 5units | 1.875GB | 422.5GB | 3-1(7) |\n| 20units | 7GB | 1690GB | 3-2(8) |",1]
["| ComputeUnits | Memory | Storage | VMType |\n| --- | --- | --- | --- |\n| 1units | 1.875GB | 211.25GB | 1-1(1) |\n| 4units | 7.5GB | 845GB | 1-2(2) |\n| 8units | 15GB | 1690GB | 1-3(3) |","| 68.4 | 26(8coresx3.25units) | 1690 | 2-3(6) |\n| --- | --- | --- | --- |\n| 1.7 | 5(2coresx2.5units) | 350 | 3-1(7) |\n| 7.0 | 20(8coresx2.5units) | 1690 | 3-2(8) |",0]
["| Features | OnClaim | OnTheme | Irrelevant |\n| --- | --- | --- | --- |\n| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) |","| PageContent | 0.25(128) | 0.30(188) | 0.43(219) |\n| --- | --- | --- | --- |\n| Topics | 0.10(67) | 0.25(153) | 0.63(310) |\n| Thematictopics | 0.11(65) | 0.35(182) | 0.53(257) |\n| Allfeatures | 0.23(130) | 0.41(232) | 0.35(198) |",1]
["| Features | OnClaim | OnTheme | Irrelevant |\n| --- | --- | --- | --- |\n| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) |","| Features | OnClaimRecall |\n| --- | --- |\n| Title/Claimreview | 0.72 |\n| PageContent | 0.85 |\n| Topicmatch | 0.62 |\n| Thematictopicmatch | 0.55 |\n| Allfeatures | 0.88 |",0]
["| Features | OnClaim | OnTheme | Irrelevant |\n| --- | --- | --- | --- |\n| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) |\n| PageContent | 0.25(128) | 0.30(188) | 0.43(219) |","| Topics | 0.10(67) | 0.25(153) | 0.63(310) |\n| --- | --- | --- | --- |\n| Thematictopics | 0.11(65) | 0.35(182) | 0.53(257) |\n| Allfeatures | 0.23(130) | 0.41(232) | 0.35(198) |",1]
["| Features | OnClaim | OnTheme | Irrelevant |\n| --- | --- | --- | --- |\n| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) |\n| PageContent | 0.25(128) | 0.30(188) | 0.43(219) |","| Thematictopicmatch | 0.55 |\n| --- | --- |\n| Allfeatures | 0.88 |",0]
["| Seqs | Kendo | PoznanStreet | UndoDancer |\n| --- | --- | --- | --- |\n| JBF | 32.53 | 32.78 | 31.90 |\n| 3-POLY | 32.28 | 33.05 | 31.97 |","| 3-CG | 35.76 | 34.49 | 31.91 |\n| --- | --- | --- | --- |\n| 3-CHEB | 35.67 | 34.35 | 31.92 |",1]
["| Seqs | Kendo | PoznanStreet | UndoDancer |\n| --- | --- | --- | --- |\n| JBF | 32.53 | 32.78 | 31.90 |\n| 3-POLY | 32.28 | 33.05 | 31.97 |","| SequenceName | ViewA | ViewB | ViewV |\n| --- | --- | --- | --- |\n| PoznanStreet | 3 | 5 | 4 |\n| PoznanHall2 | 5 | 7 | 6 |\n| PoznanCarPark | 3 | 5 | 4 |\n| BookArrival | 7 | 9 | 8 |",0]
["| Seqs | Kendo | PoznanStreet | UndoDancer |\n| --- | --- | --- | --- |\n| JBF | 32.53 | 32.78 | 31.90 |","| 3-POLY | 32.28 | 33.05 | 31.97 |\n| --- | --- | --- | --- |\n| 3-CG | 35.76 | 34.49 | 31.91 |\n| 3-CHEB | 35.67 | 34.35 | 31.92 |",1]
["| Seqs | Kendo | PoznanStreet | UndoDancer |\n| --- | --- | --- | --- |\n| JBF | 32.53 | 32.78 | 31.90 |","| PoznanHall2 | 5 | 7 | 6 |\n| --- | --- | --- | --- |\n| PoznanCarPark | 3 | 5 | 4 |\n| BookArrival | 7 | 9 | 8 |",0]
["| H |\n| --- |\n| L |\n| L |\n| M |\n| H |\n| H |\n| H |\n| L |\n| L |\n| L |","| L |\n| --- |\n| L |\n| L |\n| 0.69 |",1]
["| H |\n| --- |\n| L |\n| L |\n| M |\n| H |\n| H |\n| H |\n| L |\n| L |\n| L |","| Data(hrs) | AM | LM | SWB | CH |\n| --- | --- | --- | --- | --- |\n| 300 | A2W | - | 20.8 | 30.4 |\n| 300 | PhoneCTC | Small | 14.5 | 25.1 |\n| 2000 | A2W | - | 13.0 | 18.8 |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",0]
["| H |\n| --- |\n| L |\n| L |\n| M |\n| H |\n| H |\n| H |","| L |\n| --- |\n| L |\n| L |\n| L |\n| L |\n| L |\n| 0.69 |",1]
["| H |\n| --- |\n| L |\n| L |\n| M |\n| H |\n| H |\n| H |","| 2000 | A2W | - | 13.0 | 18.8 |\n| --- | --- | --- | --- | --- |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",0]
["| Classiﬁer | Accuracy | Precision | Recall |\n| --- | --- | --- | --- |\n| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |\n| BaggingwithREPTree | 74.25 | 72.78 | 73.96 |","| BaggingwithRF | 79.48 | 78.60 | 79.27 |\n| --- | --- | --- | --- |\n| BoostingwithJ48 | 76.76 | 76.18 | 76.58 |\n| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |\n| BoostingwithRF | 79.10 | 78.32 | 78.93 |",1]
["| Classiﬁer | Accuracy | Precision | Recall |\n| --- | --- | --- | --- |\n| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |\n| BaggingwithREPTree | 74.25 | 72.78 | 73.96 |","|  |  | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |\n| GS+EP | 65.93 | 79.96 | 72.27 |  |\n| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |\n| GS+EP | 54.57 | 66.19 | 59.82 |  |\n| Auto+EP | 47.83 | 38.39 | 42.59 |  |",0]
["| Classiﬁer | Accuracy | Precision | Recall |\n| --- | --- | --- | --- |\n| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |\n| BaggingwithREPTree | 74.25 | 72.78 | 73.96 |","| BaggingwithRF | 79.48 | 78.60 | 79.27 |\n| --- | --- | --- | --- |\n| BoostingwithJ48 | 76.76 | 76.18 | 76.58 |\n| BoostingwithREPTree | 74.57 | 73.98 | 74.37 |\n| BoostingwithRF | 79.10 | 78.32 | 78.93 |",1]
["| Classiﬁer | Accuracy | Precision | Recall |\n| --- | --- | --- | --- |\n| BaggingwithJ48 | 76.59 | 75.61 | 76.35 |\n| BaggingwithREPTree | 74.25 | 72.78 | 73.96 |","| GS+EP | 54.57 | 66.19 | 59.82 |\n| --- | --- | --- | --- |\n| Auto+EP | 47.83 | 38.39 | 42.59 |",0]
["| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |\n| --- | --- | --- | --- |\n| LU.E | 128×4 | 70.8 | 350 |","| LU.E | 64×8 | 136.6 | 356 |\n| --- | --- | --- | --- |\n| LU.E | 32×16 | 222.6 | 355 |\n| LU.E | 128×16 | 70.2 | 117 |",1]
["| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |\n| --- | --- | --- | --- |\n| LU.E | 128×4 | 70.8 | 350 |","| Num.of<br>processes | Checkpoint<br>time(s) | Restart<br>time(s) | Totalckpt<br>size(TB) | Write(ckpt)<br>bandwidth(GB/s) |\n| --- | --- | --- | --- | --- |\n| 8192 | 136.1 | 215.3 | 9.4 | 69 |\n| 16368 | 367.4 | 706.6 | 19 | 52 |\n| 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |\n| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 |",0]
["| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |\n| --- | --- | --- | --- |\n| LU.E | 128×4 | 70.8 | 350 |\n| LU.E | 64×8 | 136.6 | 356 |","| LU.E | 32×16 | 222.6 | 355 |\n| --- | --- | --- | --- |\n| LU.E | 128×16 | 70.2 | 117 |",1]
["| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |\n| --- | --- | --- | --- |\n| LU.E | 128×4 | 70.8 | 350 |\n| LU.E | 64×8 | 136.6 | 356 |","| 1<br>24000() | 634.8 | 1183.8 | 29 | 46 |\n| --- | --- | --- | --- | --- |\n| 2<br>32752() | 652.8 | 2539.05 | 38 | 60 |",0]
["| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 |","| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Index | 616 |  |  |  |  |  |  |  |  |  |\n| SpectralComponent | γ |  |  |  |  |  |  |  |  |  |",1]
["| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 |","| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |\n| Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |\n| Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |",0]
["| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |","| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |\n| Index | 616 |  |  |  |  |  |  |  |  |  |\n| SpectralComponent | γ |  |  |  |  |  |  |  |  |  |",1]
["| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ |","| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 |\n| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |",0]
["| κ˜(L)G | No.ofItr. |\n| --- | --- |\n| 1.9538 | 585 |\n| 30.5375 | 587 |","| 32.1103 | 587 |\n| --- | --- |\n| 27.1499 | 586 |",1]
["| κ˜(L)G | No.ofItr. |\n| --- | --- |\n| 1.9538 | 585 |\n| 30.5375 | 587 |","| Noisecoeﬃcient | horizontal | vertical |\n| --- | --- | --- |\n| 0.01 | 1.2992 | 1.2739 |\n| 0.03 | 1.5758 | 1.2661 |\n| 0.05 | 2.0938 | 1.2753 |\n| 0.07 | 2.3385 | 1.3668 |",0]
["| κ˜(L)G | No.ofItr. |\n| --- | --- |\n| 1.9538 | 585 |","| 30.5375 | 587 |\n| --- | --- |\n| 32.1103 | 587 |\n| 27.1499 | 586 |",1]
["| κ˜(L)G | No.ofItr. |\n| --- | --- |\n| 1.9538 | 585 |","| 0.03 | 1.5758 | 1.2661 |\n| --- | --- | --- |\n| 0.05 | 2.0938 | 1.2753 |\n| 0.07 | 2.3385 | 1.3668 |",0]
["| EmojiEmbeddingModel | ρx100foreachCorpus |  |\n| --- | --- | --- |\n| GoogleNews | Twitter |  |\n| (SenseDesc.) | 49.0 | 46.6 |\n| (SenseLabel) | 76.0 | 70.2 |","| (SenseDef.) | 69.5 | 66.9 |\n| --- | --- | --- |\n| (SenseAll) | 71.2 | 67.7 |",1]
["| EmojiEmbeddingModel | ρx100foreachCorpus |  |\n| --- | --- | --- |\n| GoogleNews | Twitter |  |\n| (SenseDesc.) | 49.0 | 46.6 |\n| (SenseLabel) | 76.0 | 70.2 |","| WordEmbeddingModel | Classiﬁcationaccuracyontestingdataset |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| N=12,920 | N=2,295 | N=2,186 | N=308 |  |  |  |  |  |\n| RF | SVM | RF | SVM | RF | SVM | RF | SVM |  |\n| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 55.2 |\n| GoogleNews+(SenseDesc.) | 58.7 | 61.9 | 50.6 | 55.0 | 49.7 | 55.3 | 45.4 | 50.0 |\n| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |\n| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |\n| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |\n| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |\n| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",0]
["| EmojiEmbeddingModel | ρx100foreachCorpus |  |\n| --- | --- | --- |\n| GoogleNews | Twitter |  |\n| (SenseDesc.) | 49.0 | 46.6 |","| (SenseLabel) | 76.0 | 70.2 |\n| --- | --- | --- |\n| (SenseDef.) | 69.5 | 66.9 |\n| (SenseAll) | 71.2 | 67.7 |",1]
["| EmojiEmbeddingModel | ρx100foreachCorpus |  |\n| --- | --- | --- |\n| GoogleNews | Twitter |  |\n| (SenseDesc.) | 49.0 | 46.6 |","| Twitter+(SenseDesc.) | 60.2 | 62.5 | 55.1 | 56.7 | 53.8 | 57.3 | 53.5 | 53.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GoogleNews+(SenseLabel) | 60.3 | 63.3 | 55.0 | 61.8 | 56.8 | 62.3 | 54.2 | 59.0 |\n| Twitter+(SenseLabel) | 60.7 | 63.6 | 57.3 | 60.8 | 57.5 | 61.5 | 56.1 | 58.4 |\n| GoogleNews+(SenseDef.) | 59.0 | 62.2 | 50.3 | 55.0 | 51.1 | 55.2 | 48.0 | 50.6 |\n| Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |\n| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |\n| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 |",0]
["| HW# | PLMR | KT-IDEM |\n| --- | --- | --- |\n| 2 | 0.641 | 0.623 |\n| 3 | 0.733 | 0.681 |\n| 4 | 0.748 | 0.739 |\n| 5 | 0.838 | 0.829 |\n| 6 | 0.690 | 0.667 |","| 7 | 0.780 | 0.730 |\n| --- | --- | --- |\n| 8 | 0.823 | 0.823 |\n| 9 | 0.690 | 0.655 |\n| Avg | 0.743 | 0.718 |",1]
["| HW# | PLMR | KT-IDEM |\n| --- | --- | --- |\n| 2 | 0.641 | 0.623 |\n| 3 | 0.733 | 0.681 |\n| 4 | 0.748 | 0.739 |\n| 5 | 0.838 | 0.829 |\n| 6 | 0.690 | 0.667 |","| nv04 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 |  |\n| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 |  |\n| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 |  |\n| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 |  |\n| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |\n| o0.7 | 6965 | 0.462 | 0.950 | 0.608 |  |\n| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| HW# | PLMR | KT-IDEM |\n| --- | --- | --- |\n| 2 | 0.641 | 0.623 |\n| 3 | 0.733 | 0.681 |\n| 4 | 0.748 | 0.739 |\n| 5 | 0.838 | 0.829 |","| 6 | 0.690 | 0.667 |\n| --- | --- | --- |\n| 7 | 0.780 | 0.730 |\n| 8 | 0.823 | 0.823 |\n| 9 | 0.690 | 0.655 |\n| Avg | 0.743 | 0.718 |",1]
["| HW# | PLMR | KT-IDEM |\n| --- | --- | --- |\n| 2 | 0.641 | 0.623 |\n| 3 | 0.733 | 0.681 |\n| 4 | 0.748 | 0.739 |\n| 5 | 0.838 | 0.829 |","| nv03 | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| --- | --- | --- | --- | --- | --- |\n| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 |  |\n| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |\n| o0.7 | 13303 | 0.719 | 0.972 | 0.815 |  |\n| nvyiz | #ret | Av.P | Av.R | Av.F | Diﬀerence |\n| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 |  |\n| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |\n| o0.8 | 9349 | 0.909 | 0.988 | 0.945 |  |",0]
["| method | RAND | HC | SA | GA+HC |\n| --- | --- | --- | --- | --- |\n| XCORR<br>XCORR4<br>XCORR8 | 0.037<br>0.111<br>0.176 | 0.165<br>0.257<br>0.332 | 0.229<br>0.342<br>0.431 | 0.426<br>0.495<br>0.532 |","| NC<br>DC | 0.016<br>0.014 | 0.327<br>0.036 | 0.419<br>0.064 | 0.541<br>0.259 |\n| --- | --- | --- | --- | --- |\n| valueofEq.?? | 956.9 | 740.9 | 704.5 | 683.3 |\n| time[s] | 0.0004 | 0.102 | 4.239 | 51.15 |",1]
["| method | RAND | HC | SA | GA+HC |\n| --- | --- | --- | --- | --- |\n| XCORR<br>XCORR4<br>XCORR8 | 0.037<br>0.111<br>0.176 | 0.165<br>0.257<br>0.332 | 0.229<br>0.342<br>0.431 | 0.426<br>0.495<br>0.532 |","| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 15.01.0<br>9.40.5<br>7.60.4<br>6.80.2<br>6.10.2 | 5.70.53.4ms<br>6.20.410.1ms<br>5.80.623.7ms<br>5.40.543.3ms<br>5.00.063.8ms | 7.40.54.9s<br>6.60.35.8s<br>5.80.36.8s<br>5.20.27.7s<br>5.00.08.5s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 14.71.1<br>9.10.4<br>7.70.2<br>6.80.3<br>6.00.1 | 6.10.34.6ms<br>6.00.615.4ms<br>6.10.334.6ms<br>5.40.565.6ms<br>5.00.099.1ms | 8.00.66.0s<br>6.70.37.2s<br>6.00.28.9s<br>5.30.210.3s<br>5.00.011.6s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 14.00.8<br>9.00.3<br>7.60.3<br>6.70.2<br>6.20.1 | 6.50.56.0ms<br>6.00.422.4ms<br>6.10.349.9ms<br>5.70.595.6ms<br>5.00.0145.4ms | 8.10.67.0s<br>6.70.28.7s<br>6.10.211.1s<br>5.30.112.6s<br>5.00.015.1s |\n| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 8.40.9<br>5.10.4<br>4.10.3<br>3.60.1<br>3.00.0 | 4.20.63.5ms<br>4.00.010.0ms<br>3.50.521.1ms<br>3.00.035.6ms<br>3.00.049.6ms | 5.10.54.6s<br>4.00.35.5s<br>3.30.36.5s<br>3.00.07.3s<br>3.00.08.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 8.20.8<br>5.10.3<br>4.20.2<br>3.50.2<br>3.10.1 | 4.10.54.5ms<br>4.00.014.4ms<br>3.40.532.6ms<br>3.00.052.7ms<br>3.00.074.1ms | 5.20.45.9s<br>4.00.27.2s<br>3.50.38.4s<br>3.00.09.8s<br>3.00.011.1s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 7.80.7<br>5.00.3<br>4.20.2<br>3.40.2<br>3.10.1 | 4.20.45.7ms<br>4.00.020.0ms<br>3.80.445.3ms<br>3.00.076.9ms<br>3.00.0113.4ms | 5.20.46.7s<br>4.10.28.9s<br>3.30.210.7s<br>3.00.012.1s<br>3.00.014.5s |",0]
["| method | RAND | HC | SA | GA+HC |\n| --- | --- | --- | --- | --- |\n| XCORR<br>XCORR4<br>XCORR8 | 0.037<br>0.111<br>0.176 | 0.165<br>0.257<br>0.332 | 0.229<br>0.342<br>0.431 | 0.426<br>0.495<br>0.532 |","| NC<br>DC | 0.016<br>0.014 | 0.327<br>0.036 | 0.419<br>0.064 | 0.541<br>0.259 |\n| --- | --- | --- | --- | --- |\n| valueofEq.?? | 956.9 | 740.9 | 704.5 | 683.3 |\n| time[s] | 0.0004 | 0.102 | 4.239 | 51.15 |",1]
["| method | RAND | HC | SA | GA+HC |\n| --- | --- | --- | --- | --- |\n| XCORR<br>XCORR4<br>XCORR8 | 0.037<br>0.111<br>0.176 | 0.165<br>0.257<br>0.332 | 0.229<br>0.342<br>0.431 | 0.426<br>0.495<br>0.532 |","| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 14.71.1<br>9.10.4<br>7.70.2<br>6.80.3<br>6.00.1 | 6.10.34.6ms<br>6.00.615.4ms<br>6.10.334.6ms<br>5.40.565.6ms<br>5.00.099.1ms | 8.00.66.0s<br>6.70.37.2s<br>6.00.28.9s<br>5.30.210.3s<br>5.00.011.6s |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 14.00.8<br>9.00.3<br>7.60.3<br>6.70.2<br>6.20.1 | 6.50.56.0ms<br>6.00.422.4ms<br>6.10.349.9ms<br>5.70.595.6ms<br>5.00.0145.4ms | 8.10.67.0s<br>6.70.28.7s<br>6.10.211.1s<br>5.30.112.6s<br>5.00.015.1s |\n| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 8.40.9<br>5.10.4<br>4.10.3<br>3.60.1<br>3.00.0 | 4.20.63.5ms<br>4.00.010.0ms<br>3.50.521.1ms<br>3.00.035.6ms<br>3.00.049.6ms | 5.10.54.6s<br>4.00.35.5s<br>3.30.36.5s<br>3.00.07.3s<br>3.00.08.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 8.20.8<br>5.10.3<br>4.20.2<br>3.50.2<br>3.10.1 | 4.10.54.5ms<br>4.00.014.4ms<br>3.40.532.6ms<br>3.00.052.7ms<br>3.00.074.1ms | 5.20.45.9s<br>4.00.27.2s<br>3.50.38.4s<br>3.00.09.8s<br>3.00.011.1s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 7.80.7<br>5.00.3<br>4.20.2<br>3.40.2<br>3.10.1 | 4.20.45.7ms<br>4.00.020.0ms<br>3.80.445.3ms<br>3.00.076.9ms<br>3.00.0113.4ms | 5.20.46.7s<br>4.10.28.9s<br>3.30.210.7s<br>3.00.012.1s<br>3.00.014.5s |",0]
["| Method | F1score | ObjectDice | ObjectHausdorﬀ |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PartA | PartB | PartA | PartB | PartA | PartB |  |\n| Ourmethod | 0.921 | 0.855 | 0.904 | 0.858 | 44.736 | 96.976 |\n| Multichannel | 0.893 | 0.843 | 0.908 | 0.833 | 44.129 | 116.821 |","| Multichannel | 0.858 | 0.771 | 0.888 | 0.815 | 54.202 | 129.930 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CUMedVision | 0.912 | 0.716 | 0.897 | 0.781 | 45.418 | 160.347 |",1]
["| Method | F1score | ObjectDice | ObjectHausdorﬀ |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| PartA | PartB | PartA | PartB | PartA | PartB |  |\n| Ourmethod | 0.921 | 0.855 | 0.904 | 0.858 | 44.736 | 96.976 |\n| Multichannel | 0.893 | 0.843 | 0.908 | 0.833 | 44.129 | 116.821 |","| Methods | ROUGE-1 | ROUGE-2 | ROUGE-L |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R | P | F1 | R | P | F1 | R | P | F1 | R | P |  |\n| LexRank | 11.32 | 11.16 | 11.04 | 1.32 | 1.34 | 1.31 | 10.33 | 10.16 | 10.06 | 3.41 | 3.38 |\n| RMRt | 11.17 | 10.25 | 10.54 | 2.25 | 2.16 | 2.19 | 10.22 | 9.39 | 9.65 | 3.88 | 3.66 |\n| CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |\n| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 |",0]
["| Method | F1score | ObjectDice | ObjectHausdorﬀ |  |  |\n| --- | --- | --- | --- | --- | --- |\n| PartA | PartB | PartA | PartB | PartA | PartB |","| Ourmethod | 0.921 | 0.855 | 0.904 | 0.858 | 44.736 | 96.976 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Multichannel | 0.893 | 0.843 | 0.908 | 0.833 | 44.129 | 116.821 |\n| Multichannel | 0.858 | 0.771 | 0.888 | 0.815 | 54.202 | 129.930 |\n| CUMedVision | 0.912 | 0.716 | 0.897 | 0.781 | 45.418 | 160.347 |",1]
["| Method | F1score | ObjectDice | ObjectHausdorﬀ |  |  |\n| --- | --- | --- | --- | --- | --- |\n| PartA | PartB | PartA | PartB | PartA | PartB |","| CTRt | 10.74 | 9.95 | 10.19 | 2.21 | 2.14 | 2.15 | 9.91 | 9.19 | 9.41 | 3.96 | 3.64 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NRT | 9.39 | 17.75 | 11.64 | 1.83 | 3.39 | 2.22 | 8.70 | 16.27 | 10.74 | 3.01 | 7.06 |",0]
["| Dataset | strideD | stdσ |\n| --- | --- | --- |\n| Synthetic | 30 | 80 |\n| IDIAPPoster | 20 | 45 |","| CocktailParty | 70 | 170 |\n| --- | --- | --- |\n| CoﬀeeBreak | 30 | 85 |\n| GDet | 30 | 200 |",1]
["| Dataset | strideD | stdσ |\n| --- | --- | --- |\n| Synthetic | 30 | 80 |\n| IDIAPPoster | 20 | 45 |","| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Dataset | strideD | stdσ |\n| --- | --- | --- |\n| Synthetic | 30 | 80 |\n| IDIAPPoster | 20 | 45 |","| CocktailParty | 70 | 170 |\n| --- | --- | --- |\n| CoﬀeeBreak | 30 | 85 |\n| GDet | 30 | 200 |",1]
["| Dataset | strideD | stdσ |\n| --- | --- | --- |\n| Synthetic | 30 | 80 |\n| IDIAPPoster | 20 | 45 |","| SolarFlare | 144 | 3 | 9 |\n| --- | --- | --- | --- |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["|  | FutureGrid | FutureGridx2 | XSEDE | XSEDEx2 | OSG | OSGx2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Partitions | 14 | 28 | 13 | 26 | 200 | 400 |\n| SimultaneousJobs | 477 | 954 | 6600 | 13200 | 42300 | 84600 |\n| JobsperHour | 78 | 154 | 1090 | 2169 | 21254 | 42455 |\n| Services | 77 | 144 | 260 | 520 | 4000 | 8000 |\n| Nodes | 608 | 1216 | N/A | N/A | N/A | N/A |\n| NetworkLinks | 6 | 12 | N/A | N/A | N/A | N/A |\n| Info.databases | 1 | 1 | 1 | 1 | 1 | 1 |\n| Webportals | 1 | 1 | 1 | 1 | 1 | 1 |","| Accountingsystems | 1 | 1 | 1 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Metaschedulers | 1 | 2 | 2 | 4 | 2 | 4 |\n| Monitoringsystems | 2 | 4 | 1 | 1 | 1 | 1 |\n| ScienceGateways | 0 | 0 | 10 | 20 | 20 | 40 |",1]
["|  | FutureGrid | FutureGridx2 | XSEDE | XSEDEx2 | OSG | OSGx2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Partitions | 14 | 28 | 13 | 26 | 200 | 400 |\n| SimultaneousJobs | 477 | 954 | 6600 | 13200 | 42300 | 84600 |\n| JobsperHour | 78 | 154 | 1090 | 2169 | 21254 | 42455 |\n| Services | 77 | 144 | 260 | 520 | 4000 | 8000 |\n| Nodes | 608 | 1216 | N/A | N/A | N/A | N/A |\n| NetworkLinks | 6 | 12 | N/A | N/A | N/A | N/A |\n| Info.databases | 1 | 1 | 1 | 1 | 1 | 1 |\n| Webportals | 1 | 1 | 1 | 1 | 1 | 1 |","| Job/Task | Scheduler | FIFO | Fair | Capacity |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |\n| Job | CPU(ms) | 11495 | 8415 | 12647 | 9538 | 14475 | 10784 |\n| Memory(10bytes | 7479 | 4530 | 7741 | 3647 | 9463 | 5486 |  |\n| HDFSRead(10bytes) | 9930 | 7431 | 10968 | 8762 | 12463 | 8360 |  |\n| HDFSWrite(10bytes) | 8583 | 5985 | 9784 | 6202 | 10285 | 7420 |  |\n| Task | CPU(ms) | 3855 | 2520 | 4033 | 2184 | 4170 | 2851 |\n| Memory(10bytes | 1412 | 1058 | 2496 | 1741 | 2638 | 2115 |  |\n| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 |  |\n| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 |  |",0]
["|  | FutureGrid | FutureGridx2 | XSEDE | XSEDEx2 | OSG | OSGx2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Partitions | 14 | 28 | 13 | 26 | 200 | 400 |\n| SimultaneousJobs | 477 | 954 | 6600 | 13200 | 42300 | 84600 |\n| JobsperHour | 78 | 154 | 1090 | 2169 | 21254 | 42455 |\n| Services | 77 | 144 | 260 | 520 | 4000 | 8000 |\n| Nodes | 608 | 1216 | N/A | N/A | N/A | N/A |\n| NetworkLinks | 6 | 12 | N/A | N/A | N/A | N/A |\n| Info.databases | 1 | 1 | 1 | 1 | 1 | 1 |\n| Webportals | 1 | 1 | 1 | 1 | 1 | 1 |\n| Accountingsystems | 1 | 1 | 1 | 1 | 1 | 1 |\n| Metaschedulers | 1 | 2 | 2 | 4 | 2 | 4 |","| Monitoringsystems | 2 | 4 | 1 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ScienceGateways | 0 | 0 | 10 | 20 | 20 | 40 |",1]
["|  | FutureGrid | FutureGridx2 | XSEDE | XSEDEx2 | OSG | OSGx2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Partitions | 14 | 28 | 13 | 26 | 200 | 400 |\n| SimultaneousJobs | 477 | 954 | 6600 | 13200 | 42300 | 84600 |\n| JobsperHour | 78 | 154 | 1090 | 2169 | 21254 | 42455 |\n| Services | 77 | 144 | 260 | 520 | 4000 | 8000 |\n| Nodes | 608 | 1216 | N/A | N/A | N/A | N/A |\n| NetworkLinks | 6 | 12 | N/A | N/A | N/A | N/A |\n| Info.databases | 1 | 1 | 1 | 1 | 1 | 1 |\n| Webportals | 1 | 1 | 1 | 1 | 1 | 1 |\n| Accountingsystems | 1 | 1 | 1 | 1 | 1 | 1 |\n| Metaschedulers | 1 | 2 | 2 | 4 | 2 | 4 |","| HDFSWrite(10bytes) | 8583 | 5985 | 9784 | 6202 | 10285 | 7420 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Task | CPU(ms) | 3855 | 2520 | 4033 | 2184 | 4170 | 2851 |\n| Memory(10bytes | 1412 | 1058 | 2496 | 1741 | 2638 | 2115 |  |\n| HDFSRead(10bytes) | 1638 | 1215 | 1894 | 1428 | 7426 | 4541 |  |\n| HDFSWrite(10bytes) | 1774 | 1385 | 3643 | 2429 | 5052 | 3715 |  |",0]
["| Tracks | Laps | Speed(Km/h) | C.error(m) | O.error() |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | Max | µ | σ | µ | σ |  |  |\n| DSP | 5 | 31.3 | 90 | 0 | 0.0808 | 0.6327 | 2.0173 |","| FOT1 | 3 | 20.4 | 28.8 | 0 | 0.0971 | -1.0397 | 1.0397 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| FOT2 | 3 | 23.9 | – | 0 | 0.088 | 0.9225 | 1.0544 |",1]
["| Tracks | Laps | Speed(Km/h) | C.error(m) | O.error() |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | Max | µ | σ | µ | σ |  |  |\n| DSP | 5 | 31.3 | 90 | 0 | 0.0808 | 0.6327 | 2.0173 |","| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| Gray-scaleData | 28.43 | 04.28 |\n| RGBData | 39.20 | 35.07 |\n| MSData | 55.12 | 50.91 |\n| OFDS | 12.66 | 12.66 |\n| LoFT | 60.30 | 40.50 |\n| Sum-rule | 50.17 | 45.25 |\n| VarianceRatio | 48.26 | 44.56 |\n| HFT | 69.78 | 60.30 |\n| Ours(HLT) | 64.37 | 57.49 |",0]
["| Tracks | Laps | Speed(Km/h) | C.error(m) | O.error() |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | Max | µ | σ | µ | σ |  |  |\n| DSP | 5 | 31.3 | 90 | 0 | 0.0808 | 0.6327 | 2.0173 |","| FOT1 | 3 | 20.4 | 28.8 | 0 | 0.0971 | -1.0397 | 1.0397 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| FOT2 | 3 | 23.9 | – | 0 | 0.088 | 0.9225 | 1.0544 |",1]
["| Tracks | Laps | Speed(Km/h) | C.error(m) | O.error() |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | Max | µ | σ | µ | σ |  |  |\n| DSP | 5 | 31.3 | 90 | 0 | 0.0808 | 0.6327 | 2.0173 |","| Sum-rule | 50.17 | 45.25 |\n| --- | --- | --- |\n| VarianceRatio | 48.26 | 44.56 |\n| HFT | 69.78 | 60.30 |\n| Ours(HLT) | 64.37 | 57.49 |",0]
["| CROATIAN | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freq. | 0.99 | 0.95 | 0.96 | -0.18 | 0.93 | 0.96 | -0.15 |","| TSP | 0.01 | 0.42 | -0.03 | -0.26 | 0.39 | 0.32 | -0.28 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ENGLISH | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |\n| Freq. | 0.93 | 0.91 | 0.86 | -0.30 | 0.84 | 0.74 | -0.17 |\n| TSP | -0.26 | 0.92 | 0.73 | 0.39 | 0.04 | 0.35 | -0.27 |",1]
["| CROATIAN | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freq. | 0.99 | 0.95 | 0.96 | -0.18 | 0.93 | 0.96 | -0.15 |","|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| CROATIAN | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freq. | 0.99 | 0.95 | 0.96 | -0.18 | 0.93 | 0.96 | -0.15 |\n| TSP | 0.01 | 0.42 | -0.03 | -0.26 | 0.39 | 0.32 | -0.28 |\n| ENGLISH | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |","| Freq. | 0.93 | 0.91 | 0.86 | -0.30 | 0.84 | 0.74 | -0.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TSP | -0.26 | 0.92 | 0.73 | 0.39 | 0.04 | 0.35 | -0.27 |",1]
["| CROATIAN | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Freq. | 0.99 | 0.95 | 0.96 | -0.18 | 0.93 | 0.96 | -0.15 |\n| TSP | 0.01 | 0.42 | -0.03 | -0.26 | 0.39 | 0.32 | -0.28 |\n| ENGLISH | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR |","| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| Skip | NA | BN | IN | NA | BN |\n| --- | --- | --- | --- | --- | --- |\n| Dec | NA | NA | NA | BN | BN |","| PSNR<br>SSIM | 18.24<br>0.7945 | 25.67<br>0.9442 | 26.00<br>0.9414 | 25.99<br>0.9385 | 26.38<br>0.9519 |\n| --- | --- | --- | --- | --- | --- |\n| Skip | IN | NA | BN | IN | Perceptual<br>loss |\n| Dec | BN | IN | IN | IN |  |\n| PSNR<br>SSIM | 26.89<br>0.9535 | 26.57<br>0.9381 | 27.67<br>0.9543 | 27.75<br>0.9549 | 27.79<br>0.9556 |",1]
["| Skip | NA | BN | IN | NA | BN |\n| --- | --- | --- | --- | --- | --- |\n| Dec | NA | NA | NA | BN | BN |","| Scale | Bicubic<br>PSNR/SSIM | A+<br>PSNR/SSIM | RFL<br>PSNR/SSIM | SelfEx<br>PSNR/SSIM | SRCNN<br>PSNR/SSIM |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 33.66/0.9299<br>30.39/0.8682<br>28.42/0.8104 | 36.54/0.9544<br>32.58/0.9088<br>30.28/0.8603 | 36.54/0.9537<br>32.43/0.9057<br>30.14/0.8548 | 36.49/0.9537<br>32.58/0.9093<br>30.31/0.8619 | 36.66/0.9542<br>32.75/0.9090<br>30.48/0.8628 |\n| ×2<br>×3<br>×4 | 30.24/0.8688<br>27.55/0.7742<br>26.00/0.7027 | 32.28/0.9056<br>29.13/0.8188<br>27.32/0.7491 | 32.26/0.9040<br>29.05/0.8164<br>27.24/0.7451 | 32.22/0.9034<br>29.16/0.8196<br>27.40/0.7518 | 32.42/0.9063<br>29.28/0.8209<br>27.49/0.7503 |\n| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",0]
["| Skip | NA | BN | IN | NA | BN |\n| --- | --- | --- | --- | --- | --- |\n| Dec | NA | NA | NA | BN | BN |\n| PSNR<br>SSIM | 18.24<br>0.7945 | 25.67<br>0.9442 | 26.00<br>0.9414 | 25.99<br>0.9385 | 26.38<br>0.9519 |\n| Skip | IN | NA | BN | IN | Perceptual<br>loss |","| Dec | BN | IN | IN | IN |  |\n| --- | --- | --- | --- | --- | --- |\n| PSNR<br>SSIM | 26.89<br>0.9535 | 26.57<br>0.9381 | 27.67<br>0.9543 | 27.75<br>0.9549 | 27.79<br>0.9556 |",1]
["| Skip | NA | BN | IN | NA | BN |\n| --- | --- | --- | --- | --- | --- |\n| Dec | NA | NA | NA | BN | BN |\n| PSNR<br>SSIM | 18.24<br>0.7945 | 25.67<br>0.9442 | 26.00<br>0.9414 | 25.99<br>0.9385 | 26.38<br>0.9519 |\n| Skip | IN | NA | BN | IN | Perceptual<br>loss |","| ×2<br>×3<br>×4 | 29.56/0.8431<br>27.21/0.7385<br>25.96/0.6675 | 31.21/0.8863<br>28.29/0.7835<br>26.82/0.7087 | 31.16/0.8840<br>28.22/0.7806<br>26.75/0.7054 | 31.18/0.8855<br>28.29/0.7840<br>26.84/0.7106 | 31.36/0.8879<br>28.41/0.7863<br>26.90/0.7101 |\n| --- | --- | --- | --- | --- | --- |\n| ×2<br>×3<br>×4 | 26.88/0.8403<br>24.46/0.7349<br>23.14/0.6577 | 29.20/0.8938<br>26.03/0.7973<br>24.32/0.7183 | 29.11/0.8904<br>25.86/0.7900<br>24.19/0.7096 | 29.54/0.8967<br>26.44/0.8088<br>24.79/0.7374 | 29.50/0.8946<br>26.24/0.7989<br>24.52/0.7221 |",0]
["| h | N | SearchLDS | SkipList | JumpSearchLDS |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |  |  |  |\n| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |","| 50 | 1275 | 0.190 | 0.144 | 0.215 | 0.155 | 0.134 | 0.128 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",1]
["| h | N | SearchLDS | SkipList | JumpSearchLDS |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |  |  |  |\n| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |","| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |\n| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["| h | N | SearchLDS | SkipList | JumpSearchLDS |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |  |  |  |\n| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |","| 50 | 1275 | 0.190 | 0.144 | 0.215 | 0.155 | 0.134 | 0.128 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 100 | 5050 | 0.347 | 0.207 | 0.370 | 0.223 | 0.176 | 0.157 |\n| 500 | 125250 | 1.840 | 0.481 | 1.686 | 0.678 | 0.357 | 0.228 |\n| 1000 | 500500 | 3.990 | 0.780 | 3.600 | 1.284 | 0.557 | 0.267 |",1]
["| h | N | SearchLDS | SkipList | JumpSearchLDS |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| β=0.8 | β=0.9 | β=0.95 | β=1.0 |  |  |  |  |\n| 10 | 55 | 0.048 | 0.059 | 0.064 | 0.061 | 0.061 | 0.060 |","| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| --- | --- | --- | --- | --- |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["| Work | DataGeneration | EvaluationMetrics |\n| --- | --- | --- |\n| Pirttikangasetal. | Semi-Non-Overlapping-Window | Accuracy |","| Suutalaetal. | Semi-Non-Overlapping-Window | Accuracy,Precision,Recall |\n| --- | --- | --- |\n| Kwapiszetal. | Unknown | Accuracy |\n| Cataletal. | Unknown | Accuracy,AUC,F-Measure |\n| Kimetal. | Semi-Non-Overlapping-Window | F-measure |\n| KimandChoi | Semi-Non-Overlapping-Window | Accuracy,F-measure |\n| ChenandXue | Semi-Non-Overlapping-Window | Accuracy |\n| JiangandYin | Unknown | Accuracy |\n| Haetal. | Semi-Non-Overlapping-Window | Accuracy |\n| HaandChoi | Semi-Non-Overlapping-Window | Accuracy |\n| Yaoetal. | Semi-Non-Overlapping-Window | Accuracy |\n| Panetal. | Semi-Non-Overlapping-Window | Accuracy |\n| Yangetal. | Unknown | Accuracy,F-Measure |",1]
["| Work | DataGeneration | EvaluationMetrics |\n| --- | --- | --- |\n| Pirttikangasetal. | Semi-Non-Overlapping-Window | Accuracy |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.77 | 0.70 | 0.74 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",0]
["| Work | DataGeneration | EvaluationMetrics |\n| --- | --- | --- |\n| Pirttikangasetal. | Semi-Non-Overlapping-Window | Accuracy |\n| Suutalaetal. | Semi-Non-Overlapping-Window | Accuracy,Precision,Recall |","| Kwapiszetal. | Unknown | Accuracy |\n| --- | --- | --- |\n| Cataletal. | Unknown | Accuracy,AUC,F-Measure |\n| Kimetal. | Semi-Non-Overlapping-Window | F-measure |\n| KimandChoi | Semi-Non-Overlapping-Window | Accuracy,F-measure |\n| ChenandXue | Semi-Non-Overlapping-Window | Accuracy |\n| JiangandYin | Unknown | Accuracy |\n| Haetal. | Semi-Non-Overlapping-Window | Accuracy |\n| HaandChoi | Semi-Non-Overlapping-Window | Accuracy |\n| Yaoetal. | Semi-Non-Overlapping-Window | Accuracy |\n| Panetal. | Semi-Non-Overlapping-Window | Accuracy |\n| Yangetal. | Unknown | Accuracy,F-Measure |",1]
["| Work | DataGeneration | EvaluationMetrics |\n| --- | --- | --- |\n| Pirttikangasetal. | Semi-Non-Overlapping-Window | Accuracy |\n| Suutalaetal. | Semi-Non-Overlapping-Window | Accuracy,Precision,Recall |","| Yinetal. | 0.81 | 0.63 | 0.71 |\n| --- | --- | --- | --- |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",0]
["| Table | NMMsize | MMSize |\n| --- | --- | --- |\n| phrase-table | 119KB | 585KB |\n| reordering-table | 74KB | 1,576KB |","| LMﬁle | 238KB | 238KB |\n| --- | --- | --- |\n| TOTAL | 431KB | 2,399KB |",1]
["| Table | NMMsize | MMSize |\n| --- | --- | --- |\n| phrase-table | 119KB | 585KB |\n| reordering-table | 74KB | 1,576KB |","| Totalvocabularysize | 768,298 |\n| --- | --- |\n| Mediandocumentlength | 346characters |\n| Mediannumberofwords | 54 |\n| Mediansentencelength | 51characters |\n| MedianNbrofwordsinsentence | 8 |",0]
["| Table | NMMsize | MMSize |\n| --- | --- | --- |\n| phrase-table | 119KB | 585KB |\n| reordering-table | 74KB | 1,576KB |","| LMﬁle | 238KB | 238KB |\n| --- | --- | --- |\n| TOTAL | 431KB | 2,399KB |",1]
["| Table | NMMsize | MMSize |\n| --- | --- | --- |\n| phrase-table | 119KB | 585KB |\n| reordering-table | 74KB | 1,576KB |","| Mediansentencelength | 51characters |\n| --- | --- |\n| MedianNbrofwordsinsentence | 8 |",0]
["| Database | ModelOrder | IdentiﬁcationAccuracy |\n| --- | --- | --- |\n| POLYCOST | 2 | 19.4960 |\n| 4 | 21.6180 |  |\n| 8 | 19.0981 |  |\n| 16 | 22.4138 |  |\n| YOHO | 2 | 16.8841 |\n| 4 | 18.2246 |  |\n| 8 | 15.1268 |  |\n| 16 | 18.2246 |  |","| 32 | 21.2138 |\n| --- | --- |\n| 64 | 21.9565 |",1]
["| Database | ModelOrder | IdentiﬁcationAccuracy |\n| --- | --- | --- |\n| POLYCOST | 2 | 19.4960 |\n| 4 | 21.6180 |  |\n| 8 | 19.0981 |  |\n| 16 | 22.4138 |  |\n| YOHO | 2 | 16.8841 |\n| 4 | 18.2246 |  |\n| 8 | 15.1268 |  |\n| 16 | 18.2246 |  |","| Model | C | d | Q |\n| --- | --- | --- | --- |\n| Full | 0.14 | 4.0 | 0.40 |\n| Nodistance | 0.13 | 3.8 | 0.33 |\n| Nocategories | 0.01 | 3.8 | 0.29 |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",0]
["| Database | ModelOrder | IdentiﬁcationAccuracy |\n| --- | --- | --- |\n| POLYCOST | 2 | 19.4960 |\n| 4 | 21.6180 |  |\n| 8 | 19.0981 |  |\n| 16 | 22.4138 |  |\n| YOHO | 2 | 16.8841 |","| 4 | 18.2246 |\n| --- | --- |\n| 8 | 15.1268 |\n| 16 | 18.2246 |\n| 32 | 21.2138 |\n| 64 | 21.9565 |",1]
["| Database | ModelOrder | IdentiﬁcationAccuracy |\n| --- | --- | --- |\n| POLYCOST | 2 | 19.4960 |\n| 4 | 21.6180 |  |\n| 8 | 19.0981 |  |\n| 16 | 22.4138 |  |\n| YOHO | 2 | 16.8841 |","| Nocategories | 0.01 | 3.8 | 0.29 |\n| --- | --- | --- | --- |\n| Notriadicclosure | 0.05 | 4.0 | 0.38 |",0]
["| TestLibrary | Global | Princeton | CMU-IBM | MINLP |\n| --- | --- | --- | --- | --- |\n| Numberofproblems | 369 | 980 | 142 | 249 |","| Avg.no.ofcontinuousvariables | 1092 | 1355 | 369 | 346 |\n| --- | --- | --- | --- | --- |\n| Avg.no.ofbinaryvariables | 0 | 0 | 139 | 235 |\n| Avg.no.ofintegervariables | 0 | 0 | 0 | 24 |\n| Avg.no.ofconstraints | 785 | 836 | 956 | 534 |",1]
["| TestLibrary | Global | Princeton | CMU-IBM | MINLP |\n| --- | --- | --- | --- | --- |\n| Numberofproblems | 369 | 980 | 142 | 249 |","| Binary | Coverage | Crashes | TotalPaths |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB | AFL | AFL-d | AFLCB |  |\n| addr2line | 6.23 | 6.78 | 6.23 | 4 | 5 | 3 | 2427 | 3115 | 2351 |\n| cxxﬁlt | 10.15 | 10.78 | 9.36 | 532 | 1422 | 369 | 8422 | 13592 | 8198 |\n| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |\n| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |\n| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |\n| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |\n| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |\n| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |\n| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |\n| strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 |\n| gif2png | 1.74 | 1.76 | 1.74 | 125 | 133 | 132 | 1504 | 1599 | 1538 |\n| libxml2 | 8.74 | 9.42 | 9.34 | 0 | 0 | 0 | 3211 | 5233 | 3933 |\n| libpng | 5.05 | 5.32 | 5.07 | 0 | 0 | 0 | 2112 | 2679 | 1957 |\n| mpg321 | 0.44 | 0.44 | 0.44 | 14 | 14 | 14 | 168 | 169 | 169 |\n| tcpdump | 15.62 | 16.36 | 17.83 | 170 | 304 | 289 | 6471 | 11018 | 8135 |",0]
["| TestLibrary | Global | Princeton | CMU-IBM | MINLP |\n| --- | --- | --- | --- | --- |\n| Numberofproblems | 369 | 980 | 142 | 249 |","| Avg.no.ofcontinuousvariables | 1092 | 1355 | 369 | 346 |\n| --- | --- | --- | --- | --- |\n| Avg.no.ofbinaryvariables | 0 | 0 | 139 | 235 |\n| Avg.no.ofintegervariables | 0 | 0 | 0 | 24 |\n| Avg.no.ofconstraints | 785 | 836 | 956 | 534 |",1]
["| TestLibrary | Global | Princeton | CMU-IBM | MINLP |\n| --- | --- | --- | --- | --- |\n| Numberofproblems | 369 | 980 | 142 | 249 |","| elfedit | 0.18 | 0.18 | 0.18 | 0 | 0 | 0 | 21 | 21 | 21 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nm | 12.53 | 15.12 | 11.31 | 109 | 1179 | 44 | 4841 | 11933 | 4282 |\n| objcopy | 12.53 | 14.57 | 11.98 | 30 | 94 | 33 | 3053 | 6277 | 4155 |\n| objdump | 10.32 | 11.69 | 10.68 | 3 | 86 | 27 | 4099 | 7198 | 5490 |\n| readelf | 12.43 | 15.45 | 12.99 | 0 | 0 | 0 | 5706 | 13342 | 7683 |\n| size | 6.41 | 7.15 | 6.60 | 1 | 0 | 0 | 2359 | 3247 | 2452 |\n| strings | 0.15 | 0.15 | 0.15 | 0 | 0 | 0 | 72 | 72 | 72 |\n| strip-new | 11.16 | 12.98 | 11.34 | 8 | 22 | 10 | 2836 | 5860 | 4099 |\n| gif2png | 1.74 | 1.76 | 1.74 | 125 | 133 | 132 | 1504 | 1599 | 1538 |\n| libxml2 | 8.74 | 9.42 | 9.34 | 0 | 0 | 0 | 3211 | 5233 | 3933 |\n| libpng | 5.05 | 5.32 | 5.07 | 0 | 0 | 0 | 2112 | 2679 | 1957 |\n| mpg321 | 0.44 | 0.44 | 0.44 | 14 | 14 | 14 | 168 | 169 | 169 |\n| tcpdump | 15.62 | 16.36 | 17.83 | 170 | 304 | 289 | 6471 | 11018 | 8135 |",0]
["|  | Search:IronMan;Path:MAM | Search:IronMan;Path:MTM | Search:SylvesterStallone;Path:AMTM |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rank | Movie | Score | Movie | Score | Movie | Score |","| 1 | IronMan | 1.0000 | IronMan | 1.0000 | Rocky | 0.1023 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | TheKiteRunner | 0.2185 | TheIncredibaleHulk | 0.8752 | MillionDollorBaby | 0.0981 |\n| 3 | TheGoodNight | 0.1894 | TMNT | 0.8531 | TheWrestlet | 0.0932 |\n| 4 | SeeSpotRun | 0.1894 | Spawn | 0.8256 | Hardball | 0.0895 |\n| 5 | Proof | 0.1894 | Batman | 0.8171 | OutCold | 0.0887 |",1]
["|  | Search:IronMan;Path:MAM | Search:IronMan;Path:MTM | Search:SylvesterStallone;Path:AMTM |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rank | Movie | Score | Movie | Score | Movie | Score |","| Category | SVM<br>Baseline | SVM<br>Best | NN<br>Baseline | NN<br>Best |\n| --- | --- | --- | --- | --- |\n| airconditioner | 39.3 | 45.1 | 49.9 | 53.2 |\n| carhorn | 52.4 | 53.0 | 51.6 | 52.8 |\n| childrenplaying | 53.8 | 54.3 | 65.1 | 65.2 |\n| dogbark | 76.2 | 75.9 | 81.7 | 82.0 |\n| drilling | 56.6 | 57.2 | 63.4 | 63.0 |\n| engineidling | 53.8 | 54.1 | 68.0 | 69.8 |\n| gunshot | 67.8 | 69.1 | 80.4 | 81.9 |\n| jackhammer | 60.2 | 62.3 | 63.7 | 66.2 |\n| siren | 72.2 | 72.8 | 80.2 | 80.4 |\n| streetmusic | 46.0 | 46.4 | 58.5 | 59.0 |\n| MeanAP | 57.8 | 59.0 | 66.3 | 67.5 |",0]
["|  | Search:IronMan;Path:MAM | Search:IronMan;Path:MTM | Search:SylvesterStallone;Path:AMTM |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rank | Movie | Score | Movie | Score | Movie | Score |\n| 1 | IronMan | 1.0000 | IronMan | 1.0000 | Rocky | 0.1023 |\n| 2 | TheKiteRunner | 0.2185 | TheIncredibaleHulk | 0.8752 | MillionDollorBaby | 0.0981 |","| 3 | TheGoodNight | 0.1894 | TMNT | 0.8531 | TheWrestlet | 0.0932 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | SeeSpotRun | 0.1894 | Spawn | 0.8256 | Hardball | 0.0895 |\n| 5 | Proof | 0.1894 | Batman | 0.8171 | OutCold | 0.0887 |",1]
["|  | Search:IronMan;Path:MAM | Search:IronMan;Path:MTM | Search:SylvesterStallone;Path:AMTM |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Rank | Movie | Score | Movie | Score | Movie | Score |\n| 1 | IronMan | 1.0000 | IronMan | 1.0000 | Rocky | 0.1023 |\n| 2 | TheKiteRunner | 0.2185 | TheIncredibaleHulk | 0.8752 | MillionDollorBaby | 0.0981 |","| childrenplaying | 53.8 | 54.3 | 65.1 | 65.2 |\n| --- | --- | --- | --- | --- |\n| dogbark | 76.2 | 75.9 | 81.7 | 82.0 |\n| drilling | 56.6 | 57.2 | 63.4 | 63.0 |\n| engineidling | 53.8 | 54.1 | 68.0 | 69.8 |\n| gunshot | 67.8 | 69.1 | 80.4 | 81.9 |\n| jackhammer | 60.2 | 62.3 | 63.7 | 66.2 |\n| siren | 72.2 | 72.8 | 80.2 | 80.4 |\n| streetmusic | 46.0 | 46.4 | 58.5 | 59.0 |\n| MeanAP | 57.8 | 59.0 | 66.3 | 67.5 |",0]
["| ArticleType | #ofArticles | MedianError(km) |\n| --- | --- | --- |\n| airport | 60 | 6 |\n| railwaystation | 178 | 6 |\n| waterbody | 76 | 42 |\n| city | 2414 | 44 |\n| mountain | 124 | 54 |\n| landmark | 1109 | 65 |\n| NULL | 970 | 94 |","| edu | 187 | 110 |\n| --- | --- | --- |\n| river | 86 | 187 |\n| adm2nd | 105 | 295 |",1]
["| ArticleType | #ofArticles | MedianError(km) |\n| --- | --- | --- |\n| airport | 60 | 6 |\n| railwaystation | 178 | 6 |\n| waterbody | 76 | 42 |\n| city | 2414 | 44 |\n| mountain | 124 | 54 |\n| landmark | 1109 | 65 |\n| NULL | 970 | 94 |","| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| ArticleType | #ofArticles | MedianError(km) |\n| --- | --- | --- |\n| airport | 60 | 6 |","| railwaystation | 178 | 6 |\n| --- | --- | --- |\n| waterbody | 76 | 42 |\n| city | 2414 | 44 |\n| mountain | 124 | 54 |\n| landmark | 1109 | 65 |\n| NULL | 970 | 94 |\n| edu | 187 | 110 |\n| river | 86 | 187 |\n| adm2nd | 105 | 295 |",1]
["| ArticleType | #ofArticles | MedianError(km) |\n| --- | --- | --- |\n| airport | 60 | 6 |","| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| GS-01 | GS-02 |  |  |\n| --- | --- | --- | --- |\n| referencepoint | hours | referencepoint | hours |\n| R1 | 0.000040 | R1 | 0.00013 |\n| R2 | 1.52 | R2 | 4.99 |\n| R3 | 1.28 | R3 | 4.2 |","| R4 | 1.23 | R4 | 3.53 |\n| --- | --- | --- | --- |\n| R5 | 1.12 | R5 | 3.36 |\n| R6 | 1.0 | R6 | 3.07 |\n| R7 | 1.0 | R7 | 2.52 |\n|  |  | R8 | 2,61 |",1]
["| GS-01 | GS-02 |  |  |\n| --- | --- | --- | --- |\n| referencepoint | hours | referencepoint | hours |\n| R1 | 0.000040 | R1 | 0.00013 |\n| R2 | 1.52 | R2 | 4.99 |\n| R3 | 1.28 | R3 | 4.2 |","| Data(hrs) | AM | LM | SWB | CH |\n| --- | --- | --- | --- | --- |\n| 300 | A2W | - | 20.8 | 30.4 |\n| 300 | PhoneCTC | Small | 14.5 | 25.1 |\n| 2000 | A2W | - | 13.0 | 18.8 |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",0]
["| GS-01 | GS-02 |  |  |\n| --- | --- | --- | --- |\n| referencepoint | hours | referencepoint | hours |","| R1 | 0.000040 | R1 | 0.00013 |\n| --- | --- | --- | --- |\n| R2 | 1.52 | R2 | 4.99 |\n| R3 | 1.28 | R3 | 4.2 |\n| R4 | 1.23 | R4 | 3.53 |\n| R5 | 1.12 | R5 | 3.36 |\n| R6 | 1.0 | R6 | 3.07 |\n| R7 | 1.0 | R7 | 2.52 |\n|  |  | R8 | 2,61 |",1]
["| GS-01 | GS-02 |  |  |\n| --- | --- | --- | --- |\n| referencepoint | hours | referencepoint | hours |","| 300 | PhoneCTC | Small | 14.5 | 25.1 |\n| --- | --- | --- | --- | --- |\n| 2000 | A2W | - | 13.0 | 18.8 |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",0]
["| Category | Numberoftweets |\n| --- | --- |\n| Totaltweets | 3545 |","| Tweetsinfavor | 964 |\n| --- | --- |\n| Tweetsagainst | 647 |\n| Neutraltweets | 1934 |",1]
["| Category | Numberoftweets |\n| --- | --- |\n| Totaltweets | 3545 |","| Numbers | Category0 | Categoryvoid |  |  |\n| --- | --- | --- | --- | --- |\n|  | Passed | Failed | Passed | Failed |\n| Twitter | 12,681 | 2,228 | 21,443 | 4,123 |\n| Facebook | 7,586 | 1,287 | 21,715 | 3,579 |\n| Total | 20,267 | 3,515 | 43,158 | 7,702 |",0]
["| Category | Numberoftweets |\n| --- | --- |\n| Totaltweets | 3545 |\n| Tweetsinfavor | 964 |","| Tweetsagainst | 647 |\n| --- | --- |\n| Neutraltweets | 1934 |",1]
["| Category | Numberoftweets |\n| --- | --- |\n| Totaltweets | 3545 |\n| Tweetsinfavor | 964 |","| Facebook | 7,586 | 1,287 | 21,715 | 3,579 |\n| --- | --- | --- | --- | --- |\n| Total | 20,267 | 3,515 | 43,158 | 7,702 |",0]
["| Datasets | Scene-15 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |\n| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |","| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",1]
["| Datasets | Scene-15 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |\n| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |","| Datasets | BBC-Sport |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.735<br>0.747 | 0.853<br>0.886 | 0.744<br>0.725 | 0.798<br>0.789 | 0.804<br>0.803 | 0.792<br>0.776 | 0.642<br>0.768 | 0.731<br>0.871 | 0.545<br>0.736 |\n| Co-reg<br>RMSC | 0.771<br>0.808 | 0.849<br>0.912 | 0.783<br>0.837 | 0.829<br>0.871 | 0.836<br>0.879 | 0.822<br>0.864 | 0.804<br>0.822 | 0.780<br>0.915 | 0.755<br>0.789 |\n| DiMSC<br>ECMSC | 0.814<br>0.090 | 0.901<br>0.408 | 0.843<br>0.060 | 0.880<br>0.391 | 0.875<br>0.267 | 0.882<br>0.942 | 0.772<br>0.780 | 0.703<br>0.718 | 0.652<br>0.672 |\n| t-SVD-MSC<br>ETLMSC | 0.830<br>0.984 | 0.941<br>0.978 | 0.853<br>0.967 | 0.888<br>0.977 | 0.881<br>0.963 | 0.896<br>0.998 | 0.932<br>0.977 | 0.955<br>0.958 | 0.924<br>0.953 |",0]
["| Datasets | Scene-15 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |","| Co-reg<br>RMSC | 0.470<br>0.564 | 0.503<br>0.507 | 0.334<br>0.394 | 0.380<br>0.437 | 0.382<br>0.425 | 0.378<br>0.450 | 0.270<br>0.342 | 0.149<br>0.232 | 0.054<br>0.110 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DiMSC<br>LTMSC<br>ECMSC | 0.269<br>0.571<br>0.463 | 0.300<br>0.574<br>0.457 | 0.117<br>0.424<br>0.303 | 0.181<br>0.465<br>0.357 | 0.173<br>0.452<br>0.318 | 0.190<br>0.479<br>0.408 | 0.383<br>0.226<br>0.590 | 0.246<br>0.120<br>0.469 | 0.128<br>0.031<br>0.323 |\n| t-SVD-MSC<br>ETLMSC | 0.858<br>0.902 | 0.812<br>0.878 | 0.771<br>0.851 | 0.788<br>0.862 | 0.743<br>0.848 | 0.839<br>0.877 | 0.750<br>0.899 | 0.684<br>0.775 | 0.555<br>0.729 |",1]
["| Datasets | Scene-15 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Methods | NMI | ACC | AR | F-score | Precision | Recall | NMI | ACC | AR |\n| SPCbest<br>LRRbest | 0.421<br>0.426 | 0.437<br>0.445 | 0.270<br>0.272 | 0.321<br>0.324 | 0.314<br>0.316 | 0.329<br>0.333 | 0.559<br>0.226 | 0.443<br>0.120 | 0.304<br>0.031 |","| DiMSC<br>ECMSC | 0.814<br>0.090 | 0.901<br>0.408 | 0.843<br>0.060 | 0.880<br>0.391 | 0.875<br>0.267 | 0.882<br>0.942 | 0.772<br>0.780 | 0.703<br>0.718 | 0.652<br>0.672 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t-SVD-MSC<br>ETLMSC | 0.830<br>0.984 | 0.941<br>0.978 | 0.853<br>0.967 | 0.888<br>0.977 | 0.881<br>0.963 | 0.896<br>0.998 | 0.932<br>0.977 | 0.955<br>0.958 | 0.924<br>0.953 |",0]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.885 | 0.888 | 0.885 | 0.879 |\n| Train-set(extended) | 0.889 | 0.904 | 0.889 | 0.889 |","| Train-set+AL(baseline) | 0.890 | 0.896 | 0.890 | 0.885 |\n| --- | --- | --- | --- | --- |\n| Train-set+AL(extended) | 0.896 | 0.914 | 0.896 | 0.897 |",1]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.885 | 0.888 | 0.885 | 0.879 |\n| Train-set(extended) | 0.889 | 0.904 | 0.889 | 0.889 |","| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.853 | 0.857 | 0.853 | 0.848 |\n| Train-set(extended) | 0.860 | 0.871 | 0.860 | 0.858 |\n| Train-set+AL(baseline) | 0.867 | 0.883 | 0.867 | 0.868 |\n| Train-set+AL(extended) | 0.884 | 0.899 | 0.885 | 0.886 |",0]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.885 | 0.888 | 0.885 | 0.879 |\n| Train-set(extended) | 0.889 | 0.904 | 0.889 | 0.889 |","| Train-set+AL(baseline) | 0.890 | 0.896 | 0.890 | 0.885 |\n| --- | --- | --- | --- | --- |\n| Train-set+AL(extended) | 0.896 | 0.914 | 0.896 | 0.897 |",1]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.885 | 0.888 | 0.885 | 0.879 |\n| Train-set(extended) | 0.889 | 0.904 | 0.889 | 0.889 |","| Train-set+AL(baseline) | 0.867 | 0.883 | 0.867 | 0.868 |\n| --- | --- | --- | --- | --- |\n| Train-set+AL(extended) | 0.884 | 0.899 | 0.885 | 0.886 |",0]
["| tol | Method | Translation | Rotation |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Time(s) | Iterations | Time(s) | Iterations |  |  |\n| −2<br>10 | PALM<br>PDIPA<br>L1LS | 0.18<br>0.40<br>2.71 | 11.31<br>11.77<br>11.60 | 0.13<br>0.28<br>1.96 | 8.44<br>9.21<br>8.75 |","| −3<br>10 | PALM<br>PDIPA<br>L1LS<br>DALM | 0.27<br>0.49<br>3.76<br>5.44 | 11.52<br>11.52<br>11.50<br>14.35 | 0.17<br>0.36<br>2.84<br>6.29 | 8.69<br>8.79<br>8.71<br>14.79 |\n| --- | --- | --- | --- | --- | --- |\n| −4<br>10 | PALM<br>PDIPA<br>L1LS<br>DALM<br>FISTA<br>TFOCS | 0.62<br>0.53<br>4.90<br>11.39<br>8.75<br>249.92 | 11.56<br>11.52<br>11.50<br>11.77<br>11.60<br>14.46 | 0.36<br>0.39<br>3.59<br>9.61<br>6.62<br>232.78 | 8.75<br>8.77<br>8.67<br>9.10<br>8.85<br>12.85 |",1]
["| tol | Method | Translation | Rotation |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Time(s) | Iterations | Time(s) | Iterations |  |  |\n| −2<br>10 | PALM<br>PDIPA<br>L1LS | 0.18<br>0.40<br>2.71 | 11.31<br>11.77<br>11.60 | 0.13<br>0.28<br>1.96 | 8.44<br>9.21<br>8.75 |","| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |\n| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| tol | Method | Translation | Rotation |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Time(s) | Iterations | Time(s) | Iterations |  |  |\n| −2<br>10 | PALM<br>PDIPA<br>L1LS | 0.18<br>0.40<br>2.71 | 11.31<br>11.77<br>11.60 | 0.13<br>0.28<br>1.96 | 8.44<br>9.21<br>8.75 |","| −3<br>10 | PALM<br>PDIPA<br>L1LS<br>DALM | 0.27<br>0.49<br>3.76<br>5.44 | 11.52<br>11.52<br>11.50<br>14.35 | 0.17<br>0.36<br>2.84<br>6.29 | 8.69<br>8.79<br>8.71<br>14.79 |\n| --- | --- | --- | --- | --- | --- |\n| −4<br>10 | PALM<br>PDIPA<br>L1LS<br>DALM<br>FISTA<br>TFOCS | 0.62<br>0.53<br>4.90<br>11.39<br>8.75<br>249.92 | 11.56<br>11.52<br>11.50<br>11.77<br>11.60<br>14.46 | 0.36<br>0.39<br>3.59<br>9.61<br>6.62<br>232.78 | 8.75<br>8.77<br>8.67<br>9.10<br>8.85<br>12.85 |",1]
["| tol | Method | Translation | Rotation |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Time(s) | Iterations | Time(s) | Iterations |  |  |\n| −2<br>10 | PALM<br>PDIPA<br>L1LS | 0.18<br>0.40<br>2.71 | 11.31<br>11.77<br>11.60 | 0.13<br>0.28<br>1.96 | 8.44<br>9.21<br>8.75 |","| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| --- | --- | --- | --- | --- |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=287.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=479.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |","| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| --- |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",1]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=287.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=479.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |","| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",0]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=287.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=479.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |","| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| --- |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",1]
["| -classe1800(attendus=169,ramenes=98.00,corrects=5.00)<br>rappel=0.030precision=0.051f-mesure=0.037 |\n| --- |\n| -classe1810(attendus=169,ramenes=203.00,corrects=28.00)<br>rappel=0.166precision=0.138f-mesure=0.151 |\n| -classe1820(attendus=169,ramenes=287.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| -classe1830(attendus=169,ramenes=479.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |","| -classe1820(attendus=169,ramenes=288.00,corrects=34.00)<br>rappel=0.201precision=0.118f-mesure=0.149 |\n| --- |\n| -classe1830(attendus=169,ramenes=478.00,corrects=47.00)<br>rappel=0.278precision=0.098f-mesure=0.145 |\n| -classe1840(attendus=169,ramenes=72.00,corrects=10.00)<br>rappel=0.059precision=0.139f-mesure=0.083 |\n| -classe1850(attendus=169,ramenes=193.00,corrects=13.00)<br>rappel=0.077precision=0.067f-mesure=0.072 |\n| -classe1860(attendus=170,ramenes=101.00,corrects=8.00)<br>rappel=0.047precision=0.079f-mesure=0.059 |\n| -classe1870(attendus=169,ramenes=70.00,corrects=8.00)<br>rappel=0.047precision=0.114f-mesure=0.067 |\n| -classe1880(attendus=169,ramenes=115.00,corrects=14.00)<br>rappel=0.083precision=0.122f-mesure=0.099 |\n| -classe1890(attendus=197,ramenes=76.00,corrects=8.00)<br>rappel=0.041precision=0.105f-mesure=0.059 |\n| -classe1900(attendus=203,ramenes=122.00,corrects=10.00)<br>rappel=0.049precision=0.082f-mesure=0.062 |\n| -classe1910(attendus=201,ramenes=61.00,corrects=5.00)<br>rappel=0.025precision=0.082f-mesure=0.038 |\n| -classe1920(attendus=200,ramenes=189.00,corrects=16.00)<br>rappel=0.080precision=0.085f-mesure=0.082 |\n| -classe1930(attendus=200,ramenes=71.00,corrects=7.00)<br>rappel=0.035precision=0.099f-mesure=0.052 |\n| -classe1940(attendus=198,ramenes=584.00,corrects=84.00)<br>rappel=0.424precision=0.144f-mesure=0.215 |\n| -surl’ensembledes15classes<br>macrorappel=0.109macroprecision=0.102macroF-mesure=0.105 |",0]
["| Version | Problem | Squarespersecond |\n| --- | --- | --- |\n| Standard(Algorithms??and??) | DLS9 | 1.8×10 |\n| Bitarithmetic(Algorithm??) | DLS9 | 2.6×10 |","| Optimizedbitarithmetic<br>(Algorithm??) | DLS9 | 6.8×10 |\n| --- | --- | --- |\n| LS8 | 9×10 |  |\n| DLS8 | 5.8×10 |  |\n| LS9 | 8.0×10 |  |\n| LS10 | 6.3×10 |  |\n| DLS10 | 6.0×10 |  |",1]
["| Version | Problem | Squarespersecond |\n| --- | --- | --- |\n| Standard(Algorithms??and??) | DLS9 | 1.8×10 |\n| Bitarithmetic(Algorithm??) | DLS9 | 2.6×10 |","| Problemsize | Processorconﬁgurations |\n| --- | --- |\n| 8000(LU,MM) | 1×2,2×2,2×4,4×4,4×5,5×5,5×8 |\n| 12000(LU,MM) | 1×2,2×2,2×3,3×3,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 14000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×7,7×7 |\n| 16000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| 20000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| 21000(LU,MM) | 2×2,2×3,3×3,3×4,4×5,5×5,5×6,6×6,6×7,7×7 |\n| 24000(LU,MM) | 2×4,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 8000(Jacobi) | 4,8,10,16,20,32,40,50 |\n| 8192(FFT) | 2,4,8,16,32 |\n| 20000(Master-worker) | 4,6,8,10,12,14,16,18,20,22 |",0]
["| Version | Problem | Squarespersecond |\n| --- | --- | --- |\n| Standard(Algorithms??and??) | DLS9 | 1.8×10 |","| Bitarithmetic(Algorithm??) | DLS9 | 2.6×10 |\n| --- | --- | --- |\n| Optimizedbitarithmetic<br>(Algorithm??) | DLS9 | 6.8×10 |\n| LS8 | 9×10 |  |\n| DLS8 | 5.8×10 |  |\n| LS9 | 8.0×10 |  |\n| LS10 | 6.3×10 |  |\n| DLS10 | 6.0×10 |  |",1]
["| Version | Problem | Squarespersecond |\n| --- | --- | --- |\n| Standard(Algorithms??and??) | DLS9 | 1.8×10 |","| 12000(LU,MM) | 1×2,2×2,2×3,3×3,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| --- | --- |\n| 14000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×7,7×7 |\n| 16000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| 20000(LU,MM) | 2×2,2×4,4×4,4×5,5×5,5×8 |\n| 21000(LU,MM) | 2×2,2×3,3×3,3×4,4×5,5×5,5×6,6×6,6×7,7×7 |\n| 24000(LU,MM) | 2×4,3×4,4×4,4×5,5×5,5×6,6×6,6×8 |\n| 8000(Jacobi) | 4,8,10,16,20,32,40,50 |\n| 8192(FFT) | 2,4,8,16,32 |\n| 20000(Master-worker) | 4,6,8,10,12,14,16,18,20,22 |",0]
["| Approach | Input | Actions | Evaluations | Rate |\n| --- | --- | --- | --- | --- |\n| IkizlerandDuyugulu | Silhouette | 9 | LOSO | 100 |\n| TranandSorokin | Silhouette | 10 | LOSO | 100 |","| Eweiwietal. | Silhouette | 10 | LOSO | 100 |\n| --- | --- | --- | --- | --- |\n| Harnandezetal. | Images | 10 | LASO | 90.3 |\n| Cheemaetal. | Silhouette | 9 | LOSO | 91.6 |\n| Chaaraouietal. | Silhouette | 9 | LOSO | 92.8 |\n| Proposed | Silhouette | 9 | NoTraining | 95.06 |",1]
["| Approach | Input | Actions | Evaluations | Rate |\n| --- | --- | --- | --- | --- |\n| IkizlerandDuyugulu | Silhouette | 9 | LOSO | 100 |\n| TranandSorokin | Silhouette | 10 | LOSO | 100 |","| Approach | Input | Actions | Evaluations | SuccessRate |\n| --- | --- | --- | --- | --- |\n| Singhetal. | Silhouette | 14 | LOSO | 82.4 |\n| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |\n| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |\n| Proposed | Silhouette | 10 | NoTraining | 93.75 |",0]
["| Approach | Input | Actions | Evaluations | Rate |\n| --- | --- | --- | --- | --- |\n| IkizlerandDuyugulu | Silhouette | 9 | LOSO | 100 |","| TranandSorokin | Silhouette | 10 | LOSO | 100 |\n| --- | --- | --- | --- | --- |\n| Eweiwietal. | Silhouette | 10 | LOSO | 100 |\n| Harnandezetal. | Images | 10 | LASO | 90.3 |\n| Cheemaetal. | Silhouette | 9 | LOSO | 91.6 |\n| Chaaraouietal. | Silhouette | 9 | LOSO | 92.8 |\n| Proposed | Silhouette | 9 | NoTraining | 95.06 |",1]
["| Approach | Input | Actions | Evaluations | Rate |\n| --- | --- | --- | --- | --- |\n| IkizlerandDuyugulu | Silhouette | 9 | LOSO | 100 |","| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| --- | --- | --- | --- | --- |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |\n| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |\n| Proposed | Silhouette | 10 | NoTraining | 93.75 |",0]
["| Inputs | Dataset | MAEs |\n| --- | --- | --- |\n| GroundTruthfaces(setA) | FGNET | 5.89 |\n| Synthesizedfaces(setB) | FGNET | 5.96 |","| IAAP’ssynthesizedfaces(setB’) | FGNET | 6.29 |\n| --- | --- | --- |\n| GroundTruthfaces(setC) | MORPH | 4.84 |\n| Synthesizedfaces(setD) | MORPH | 5.17 |",1]
["| Inputs | Dataset | MAEs |\n| --- | --- | --- |\n| GroundTruthfaces(setA) | FGNET | 5.89 |\n| Synthesizedfaces(setB) | FGNET | 5.96 |","| Inputs | MAEs(years) |\n| --- | --- |\n| DAMs-Mod | 4.67 |\n| AAMs-Mod | 4.81 |\n| DAMs-Rec | 5.67 |\n| AAMs-Rec | 6.14 |\n| DLF-CNN | 4.26 |\n| CA-SVR | 4.67 |\n| PLO | 4.82 |",0]
["| Inputs | Dataset | MAEs |\n| --- | --- | --- |\n| GroundTruthfaces(setA) | FGNET | 5.89 |\n| Synthesizedfaces(setB) | FGNET | 5.96 |\n| IAAP’ssynthesizedfaces(setB’) | FGNET | 6.29 |","| GroundTruthfaces(setC) | MORPH | 4.84 |\n| --- | --- | --- |\n| Synthesizedfaces(setD) | MORPH | 5.17 |",1]
["| Inputs | Dataset | MAEs |\n| --- | --- | --- |\n| GroundTruthfaces(setA) | FGNET | 5.89 |\n| Synthesizedfaces(setB) | FGNET | 5.96 |\n| IAAP’ssynthesizedfaces(setB’) | FGNET | 6.29 |","| DAMs-Rec | 5.67 |\n| --- | --- |\n| AAMs-Rec | 6.14 |\n| DLF-CNN | 4.26 |\n| CA-SVR | 4.67 |\n| PLO | 4.82 |",0]
["| Embeddingsize | d=300 |\n| --- | --- |\n| HiddenlayersizeofLSTM | m=100 |","| Batchsize | δ=32 |\n| --- | --- |\n| Initiallearningrate | η=0.1 |\n| Regularizationweight | λ=10 |",1]
["| Embeddingsize | d=300 |\n| --- | --- |\n| HiddenlayersizeofLSTM | m=100 |","| LayerTypeLayerSize | ParameterSGD |\n| --- | --- |\n| Conv+ReLU3x3x32 | LearningRate0.1 |\n| Conv+ReLU3x3x32 | Momentum0.9 |\n| MaxPooling2x2 | DelayRate- |\n| Conv+ReLU3x3x64 | Dropout0.5 |\n| Conv+ReLU3x3x64 | BatchSize128 |\n| MaxPooling2x2 | Epochs50 |\n| Dense+ReLU200 |  |\n| Dense+ReLU200 |  |\n| Softmax+ReLU10 |  |",0]
["| Embeddingsize | d=300 |\n| --- | --- |\n| HiddenlayersizeofLSTM | m=100 |\n| Batchsize | δ=32 |","| Initiallearningrate | η=0.1 |\n| --- | --- |\n| Regularizationweight | λ=10 |",1]
["| Embeddingsize | d=300 |\n| --- | --- |\n| HiddenlayersizeofLSTM | m=100 |\n| Batchsize | δ=32 |","| Dense+ReLU200 |  |\n| --- | --- |\n| Softmax+ReLU10 |  |",0]
["| lossfunctionused | testerrorrate |\n| --- | --- |\n| L | 6.78 |\n| (Grad-CAM++)L | 6.74 |","| L(Grad-CAM) | 6.86 |\n| --- | --- |\n| L+L | 5.68 |\n| L(Grad-CAM++)+L | 5.56 |\n| L(Grad-CAM)+L | 5.8 |",1]
["| lossfunctionused | testerrorrate |\n| --- | --- |\n| L | 6.78 |\n| (Grad-CAM++)L | 6.74 |","| Parameters | Value |\n| --- | --- |\n| Inputdescriptionlength | 50words |\n| Outputsummarylength | 15words |\n| OptimizationMethod | StochasticGradientDescent<br>withmomentum |\n| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |\n| Batchsize | 128 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| lossfunctionused | testerrorrate |\n| --- | --- |\n| L | 6.78 |","| (Grad-CAM++)L | 6.74 |\n| --- | --- |\n| L(Grad-CAM) | 6.86 |\n| L+L | 5.68 |\n| L(Grad-CAM++)+L | 5.56 |\n| L(Grad-CAM)+L | 5.8 |",1]
["| lossfunctionused | testerrorrate |\n| --- | --- |\n| L | 6.78 |","| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |\n| --- | --- |\n| Batchsize | 128 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| Algorithm | PercentageAccuracy |  |  |\n| --- | --- | --- | --- |\n| Complete | Viral-Pairs | Random-Pairs |  |\n| AlexNetRegression<br>VGGNet-16Regression | 53.01<br>56.12 | 57.72<br>60.11 | 54.19<br>58.23 |","| AlexNetSiamese<br>VGGNet-16Siamese | 58.17<br>60.23 | 61.11<br>66.15 | 59.87<br>63.15 |\n| --- | --- | --- | --- |\n| ViralNet | 65.87 | 76.20 | 74.38 |",1]
["| Algorithm | PercentageAccuracy |  |  |\n| --- | --- | --- | --- |\n| Complete | Viral-Pairs | Random-Pairs |  |\n| AlexNetRegression<br>VGGNet-16Regression | 53.01<br>56.12 | 57.72<br>60.11 | 54.19<br>58.23 |","| #Datasets | MemeTracker | SinaWeibo |\n| --- | --- | --- |\n| #Nodes | 1,000 | 1,000 |\n| #Edges | 4,323 | 1,671 |\n| #Cascades | 2,762 | 2,907 |\n| Maximal#infectionsincascades | 240 | 163 |\n| Average#infectionsincascades | 14.85 | 6.62 |",0]
["| Algorithm | PercentageAccuracy |  |\n| --- | --- | --- |\n| Complete | Viral-Pairs | Random-Pairs |","| AlexNetRegression<br>VGGNet-16Regression | 53.01<br>56.12 | 57.72<br>60.11 | 54.19<br>58.23 |\n| --- | --- | --- | --- |\n| AlexNetSiamese<br>VGGNet-16Siamese | 58.17<br>60.23 | 61.11<br>66.15 | 59.87<br>63.15 |\n| ViralNet | 65.87 | 76.20 | 74.38 |",1]
["| Algorithm | PercentageAccuracy |  |\n| --- | --- | --- |\n| Complete | Viral-Pairs | Random-Pairs |","| #Cascades | 2,762 | 2,907 |\n| --- | --- | --- |\n| Maximal#infectionsincascades | 240 | 163 |\n| Average#infectionsincascades | 14.85 | 6.62 |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |","| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| --- | --- | --- | --- | --- | --- |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |","|  |  | ARCORIENTED |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 |\n| s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 |\n| s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 |\n| s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |\n| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |\n| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |","| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| --- | --- | --- | --- | --- | --- |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |","| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 |\n| s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 |\n| s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |\n| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |\n| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |",0]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 15 | 4 | - | 6 | 1 | 1 |\n| SL | 2 | 17 | 1 | - | 9 | 15 |","| SR | 2 | 1 | 27 | 1 | 5 | 8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BH | 5 | - | - | 14 | 2 | 6 |\n| SH | - | 7 | 4 | - | 9 | 12 |\n| Del | 1 | 2 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",1]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 15 | 4 | - | 6 | 1 | 1 |\n| SL | 2 | 17 | 1 | - | 9 | 15 |","|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 19 | 3 | 1 | - | - | 9 |\n| SL | 3 | 25 | - | - | - | 12 |\n| SR | 1 | 2 | 31 | - | 1 | 26 |\n| BH | 1 | - | - | 20 | 2 | 15 |\n| SH | - | - | - | 1 | 23 | 28 |\n| Del | 1 | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 90 |",0]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 15 | 4 | - | 6 | 1 | 1 |\n| SL | 2 | 17 | 1 | - | 9 | 15 |","| SR | 2 | 1 | 27 | 1 | 5 | 8 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BH | 5 | - | - | 14 | 2 | 6 |\n| SH | - | 7 | 4 | - | 9 | 12 |\n| Del | 1 | 2 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",1]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 15 | 4 | - | 6 | 1 | 1 |\n| SL | 2 | 17 | 1 | - | 9 | 15 |","| SH | - | - | - | 1 | 23 | 28 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Del | 1 | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 90 |",0]
["|  | auto-exposure | activecontrol |  |  |\n| --- | --- | --- | --- | --- |\n| σ=0.5 | σ=1 | σ=2 |  |  |\n| DPM | 0.48 | 0.51 | 0.57 | 0.60 |","| BoW | 0.38 | 0.49 | 0.51 | 0.49 |\n| --- | --- | --- | --- | --- |\n| R-CNN | 0.61 | 0.56 | 0.60 | 0.60 |\n| SPP-net | 0.63 | 0.66 | 0.69 | 0.66 |",1]
["|  | auto-exposure | activecontrol |  |  |\n| --- | --- | --- | --- | --- |\n| σ=0.5 | σ=1 | σ=2 |  |  |\n| DPM | 0.48 | 0.51 | 0.57 | 0.60 |","| TrainingData | TestData |  |\n| --- | --- | --- |\n| ILSVRC2012Val | WebVisionVal |  |\n| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["|  | auto-exposure | activecontrol |  |  |\n| --- | --- | --- | --- | --- |\n| σ=0.5 | σ=1 | σ=2 |  |  |\n| DPM | 0.48 | 0.51 | 0.57 | 0.60 |","| BoW | 0.38 | 0.49 | 0.51 | 0.49 |\n| --- | --- | --- | --- | --- |\n| R-CNN | 0.61 | 0.56 | 0.60 | 0.60 |\n| SPP-net | 0.63 | 0.66 | 0.69 | 0.66 |",1]
["|  | auto-exposure | activecontrol |  |  |\n| --- | --- | --- | --- | --- |\n| σ=0.5 | σ=1 | σ=2 |  |  |\n| DPM | 0.48 | 0.51 | 0.57 | 0.60 |","| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| --- | --- | --- |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |","| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",1]
["| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |","| l | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 4.7 | 51 | 110 | 340 | - | - | - | - |\n| DL | 0.11 | 6.4 | 44 | 210 | - | - | - | - |\n| BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |\n| HBC | 110 | - | - | - | - | - | - | - |\n| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |\n| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |\n| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |\n| \\|F\\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| \\|F\\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |\n| \\|dual(F)\\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |\n| \\|S\\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 |",0]
["| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |","| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",1]
["| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |","| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |\n| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |\n| \\|F\\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| \\|F\\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |\n| \\|dual(F)\\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |\n| \\|S\\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 |",0]
["| Dataset | PSNR | SSIM |\n| --- | --- | --- |\n| ShanghaiTechPartA | 23.79 | 0.76 |\n| ShanghaiTechPartB | 27.02 | 0.89 |","| UCFCC50 | 18.76 | 0.52 |\n| --- | --- | --- |\n| TheWorldExpo’10 | 26.94 | 0.92 |\n| TheUCSD | 20.02 | 0.86 |\n| TRANCOS | 27.10 | 0.93 |",1]
["| Dataset | PSNR | SSIM |\n| --- | --- | --- |\n| ShanghaiTechPartA | 23.79 | 0.76 |\n| ShanghaiTechPartB | 27.02 | 0.89 |","| Metric(avg.) | NAMIC |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |\n| PSNR(dB) | 24.36 | 26.51 | 27.14 | 27.30 | 27.26 | 27.81 | 29.04 | 30.35 |\n| SSIM | 0.8771 | 0.8874 | 0.8934 | 0.8983 | 0.9166 | 0.9130 | 0.9173 | 0.9270 |",0]
["| Dataset | PSNR | SSIM |\n| --- | --- | --- |\n| ShanghaiTechPartA | 23.79 | 0.76 |\n| ShanghaiTechPartB | 27.02 | 0.89 |\n| UCFCC50 | 18.76 | 0.52 |","| TheWorldExpo’10 | 26.94 | 0.92 |\n| --- | --- | --- |\n| TheUCSD | 20.02 | 0.86 |\n| TRANCOS | 27.10 | 0.93 |",1]
["| Dataset | PSNR | SSIM |\n| --- | --- | --- |\n| ShanghaiTechPartA | 23.79 | 0.76 |\n| ShanghaiTechPartB | 27.02 | 0.89 |\n| UCFCC50 | 18.76 | 0.52 |","| PSNR(dB) | 24.36 | 26.51 | 27.14 | 27.30 | 27.26 | 27.81 | 29.04 | 30.35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SSIM | 0.8771 | 0.8874 | 0.8934 | 0.8983 | 0.9166 | 0.9130 | 0.9173 | 0.9270 |",0]
["| Group | Name | Nqorig | Nq |\n| --- | --- | --- | --- |\n| 4 | family(genderinﬂections) | 506 | 305 |","| 5 | gram1-adjective-to-adverb | 992 | 755 |\n| --- | --- | --- | --- |\n| 6 | gram2-opposite | 812 | 305 |\n| 7 | gram3-comparative | 1332 | 1259 |\n| 8 | gram4-superlative | 1122 | 505 |\n| 9 | gram5-present-participle | 1056 | 991 |\n| 11 | gram7-past-tense | 1560 | 1331 |\n| 12 | gram8-plural(nouns) | 1332 | 991 |\n| 13 | gram9-plural-verbs | 870 | 649 |",1]
["| Group | Name | Nqorig | Nq |\n| --- | --- | --- | --- |\n| 4 | family(genderinﬂections) | 506 | 305 |","| SemanticArchitecture | CBOW | CLOW | DIEM |\n| --- | --- | --- | --- |\n| SemanticVectorDim. | 500500 | 500 |  |\n| SEMANTICTOTAL | 81.0280.19 | 80.19 |  |\n| adjective-to-adverb<br>opposite<br>comparative<br>superlative<br>present-participle<br>nationality-adjective<br>past-tense<br>plural<br>plural-verbs | 37.7035.08<br>36.2140.15<br>86.7187.31<br>80.1282.00<br>77.2780.78<br>90.4390.18<br>72.3773.40<br>80.1881.83<br>58.5163.68 | 94.55<br>74.60<br>92.49<br>87.61<br>93.27<br>71.04<br>47.56<br>93.69<br>95.97 |  |\n| SYNTACTICTOTAL | 72.0473.45 | 81.53 |  |\n| COMBINEDSCORE | 76.0876.49 | 80.93 |  |",0]
["| Group | Name | Nqorig | Nq |\n| --- | --- | --- | --- |\n| 4 | family(genderinﬂections) | 506 | 305 |\n| 5 | gram1-adjective-to-adverb | 992 | 755 |\n| 6 | gram2-opposite | 812 | 305 |","| 7 | gram3-comparative | 1332 | 1259 |\n| --- | --- | --- | --- |\n| 8 | gram4-superlative | 1122 | 505 |\n| 9 | gram5-present-participle | 1056 | 991 |\n| 11 | gram7-past-tense | 1560 | 1331 |\n| 12 | gram8-plural(nouns) | 1332 | 991 |\n| 13 | gram9-plural-verbs | 870 | 649 |",1]
["| Group | Name | Nqorig | Nq |\n| --- | --- | --- | --- |\n| 4 | family(genderinﬂections) | 506 | 305 |\n| 5 | gram1-adjective-to-adverb | 992 | 755 |\n| 6 | gram2-opposite | 812 | 305 |","| SEMANTICTOTAL | 81.0280.19 | 80.19 |\n| --- | --- | --- |\n| adjective-to-adverb<br>opposite<br>comparative<br>superlative<br>present-participle<br>nationality-adjective<br>past-tense<br>plural<br>plural-verbs | 37.7035.08<br>36.2140.15<br>86.7187.31<br>80.1282.00<br>77.2780.78<br>90.4390.18<br>72.3773.40<br>80.1881.83<br>58.5163.68 | 94.55<br>74.60<br>92.49<br>87.61<br>93.27<br>71.04<br>47.56<br>93.69<br>95.97 |\n| SYNTACTICTOTAL | 72.0473.45 | 81.53 |\n| COMBINEDSCORE | 76.0876.49 | 80.93 |",0]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 3 | 0.008 | 0.20 | 7 | 319 |","| 4 | 0.11 | 0.42 | 18 | 7,384 |\n| --- | --- | --- | --- | --- |\n| 5 | 1.33 | 0.76 | 58 | 152,054 |\n| 6 | 13.03 | 2.75 | 171 | 4,305,758 |\n| 7 | 243.88 | 20.17 | 614 | 91,381,325 |\n| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 |",1]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 3 | 0.008 | 0.20 | 7 | 319 |","| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 4 | 0.02 | 0.62 | 2 | 4 |\n| 5 | 0.43 | 1.04 | 0 | 14 |\n| 6 | 17.90 | 1.56 | 8 | 26 |\n| 7 | 301.26 | 2.57 | 28 | 132 |\n| 8 | 33681.66 | 9.43 | 94 | 320 |\n| 9 |  | 44.97 | 259 | 1224 |\n| 10 |  | 978.67 | 712 | 3594 |",0]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 3 | 0.008 | 0.20 | 7 | 319 |\n| 4 | 0.11 | 0.42 | 18 | 7,384 |\n| 5 | 1.33 | 0.76 | 58 | 152,054 |\n| 6 | 13.03 | 2.75 | 171 | 4,305,758 |","| 7 | 243.88 | 20.17 | 614 | 91,381,325 |\n| --- | --- | --- | --- | --- |\n| 8 | 2054.11 | 220.14 | 1,878 | 2,097,221,068 |",1]
["| n | Deﬁnitional | Pruning | #Pretropisms | MixedVolume |\n| --- | --- | --- | --- | --- |\n| 3 | 0.008 | 0.20 | 7 | 319 |\n| 4 | 0.11 | 0.42 | 18 | 7,384 |\n| 5 | 1.33 | 0.76 | 58 | 152,054 |\n| 6 | 13.03 | 2.75 | 171 | 4,305,758 |","| 8 | 33681.66 | 9.43 | 94 | 320 |\n| --- | --- | --- | --- | --- |\n| 9 |  | 44.97 | 259 | 1224 |\n| 10 |  | 978.67 | 712 | 3594 |",0]
["| Mesh<br>size<br>h | sHHO(1) | uHHO(1) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Displacement | Gradient | Displacement | Gradient |  |  |  |  |  |\n| Error | Order | Error | Order | Error | Order | Error | Order |  |\n| 1.15e-1 | 5.98e-2 | - | 3.22e-1 | - | 4.00e-2 | - | 1.23e-1 | - |\n| 5.77e-2 | 1.81e-2 | 1.72 | 8.23e-1 | 1.97 | 1.32e-2 | 1.62 | 1.01e-1 | 0.28 |","| 3.45e-2 | 6.30e-3 | 2.05 | 3.15e-2 | 1.86 | 3.80e-3 | 2.42 | 6.60e-2 | 0.83 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2.52e-2 | 3.42e-3 | 1.95 | 1.83e-2 | 1.73 | 2.03e-3 | 2.05 | 5.11e-2 | 0.94 |\n| 1.64e-2 | 1.49e-3 | 1.93 | 7.98e-3 | 1.93 | 9.76e-4 | 1.72 | 3.09e-2 | 1.08 |",1]
["| Mesh<br>size<br>h | sHHO(1) | uHHO(1) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Displacement | Gradient | Displacement | Gradient |  |  |  |  |  |\n| Error | Order | Error | Order | Error | Order | Error | Order |  |\n| 1.15e-1 | 5.98e-2 | - | 3.22e-1 | - | 4.00e-2 | - | 1.23e-1 | - |\n| 5.77e-2 | 1.81e-2 | 1.72 | 8.23e-1 | 1.97 | 1.32e-2 | 1.62 | 1.01e-1 | 0.28 |","| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["| Mesh<br>size<br>h | sHHO(1) | uHHO(1) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Displacement | Gradient | Displacement | Gradient |  |  |  |  |  |\n| Error | Order | Error | Order | Error | Order | Error | Order |  |\n| 1.15e-1 | 5.98e-2 | - | 3.22e-1 | - | 4.00e-2 | - | 1.23e-1 | - |\n| 5.77e-2 | 1.81e-2 | 1.72 | 8.23e-1 | 1.97 | 1.32e-2 | 1.62 | 1.01e-1 | 0.28 |\n| 3.45e-2 | 6.30e-3 | 2.05 | 3.15e-2 | 1.86 | 3.80e-3 | 2.42 | 6.60e-2 | 0.83 |","| 2.52e-2 | 3.42e-3 | 1.95 | 1.83e-2 | 1.73 | 2.03e-3 | 2.05 | 5.11e-2 | 0.94 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.64e-2 | 1.49e-3 | 1.93 | 7.98e-3 | 1.93 | 9.76e-4 | 1.72 | 3.09e-2 | 1.08 |",1]
["| Mesh<br>size<br>h | sHHO(1) | uHHO(1) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Displacement | Gradient | Displacement | Gradient |  |  |  |  |  |\n| Error | Order | Error | Order | Error | Order | Error | Order |  |\n| 1.15e-1 | 5.98e-2 | - | 3.22e-1 | - | 4.00e-2 | - | 1.23e-1 | - |\n| 5.77e-2 | 1.81e-2 | 1.72 | 8.23e-1 | 1.97 | 1.32e-2 | 1.62 | 1.01e-1 | 0.28 |\n| 3.45e-2 | 6.30e-3 | 2.05 | 3.15e-2 | 1.86 | 3.80e-3 | 2.42 | 6.60e-2 | 0.83 |","| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| --- | --- | --- | --- | --- |\n| BD | 74.2 | 227 | 940 | 4204 |\n| timing(sec) |  |  |  |  |",0]
["| Year | Bottega<br>Veneta | Burberr<br>Prorsum | Dior<br>Homme | Emporio<br>Armani | Erme.<br>Zegna | Givench | Gucci | Hermes | John<br>Varva | Louis<br>Vuitt | Neil<br>Barret | Prad | Thom<br>Brow |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2008 | 78 | 80 | 51 | 187 | 0 | 38 | 87 | 87 | 46 | 109 | 70 | 83 | 103 |\n| 2009 | 54 | 87 | 79 | 202 | 58 | 57 | 89 | 46 | 36 | 94 | 70 | 89 | 111 |\n| 2010 | 79 | 78 | 80 | 155 | 62 | 55 | 89 | 80 | 49 | 104 | 67 | 74 | 81 |\n| 2011 | 74 | 83 | 75 | 157 | 103 | 70 | 85 | 43 | 81 | 98 | 71 | 79 | 83 |\n| 2012 | 74 | 79 | 79 | 148 | 81 | 79 | 73 | 83 | 70 | 79 | 73 | 84 | 86 |\n| 2013 | 86 | 85 | 79 | 135 | 73 | 57 | 79 | 66 | 65 | 79 | 68 | 76 | 79 |","| 2014 | 88 | 85 | 82 | 192 | 79 | 100 | 75 | 81 | 71 | 83 | 76 | 73 | 82 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2015 | 82 | 85 | 80 | 150 | 80 | 104 | 72 | 72 | 75 | 76 | 76 | 65 | 81 |",1]
["| Year | Bottega<br>Veneta | Burberr<br>Prorsum | Dior<br>Homme | Emporio<br>Armani | Erme.<br>Zegna | Givench | Gucci | Hermes | John<br>Varva | Louis<br>Vuitt | Neil<br>Barret | Prad | Thom<br>Brow |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2008 | 78 | 80 | 51 | 187 | 0 | 38 | 87 | 87 | 46 | 109 | 70 | 83 | 103 |\n| 2009 | 54 | 87 | 79 | 202 | 58 | 57 | 89 | 46 | 36 | 94 | 70 | 89 | 111 |\n| 2010 | 79 | 78 | 80 | 155 | 62 | 55 | 89 | 80 | 49 | 104 | 67 | 74 | 81 |\n| 2011 | 74 | 83 | 75 | 157 | 103 | 70 | 85 | 43 | 81 | 98 | 71 | 79 | 83 |\n| 2012 | 74 | 79 | 79 | 148 | 81 | 79 | 73 | 83 | 70 | 79 | 73 | 84 | 86 |\n| 2013 | 86 | 85 | 79 | 135 | 73 | 57 | 79 | 66 | 65 | 79 | 68 | 76 | 79 |","| Name | Reviews | 5Star | 4Star | 3Star | 2Star | 1Star |\n| --- | --- | --- | --- | --- | --- | --- |\n| FoodInc. | 2462 | 1949 | 357 | 78 | 30 | 48 |\n| Boyhood | 2253 | 872 | 342 | 318 | 296 | 425 |\n| FedUp | 1401 | 1069 | 185 | 82 | 29 | 36 |\n| Blackﬁsh | 955 | 750 | 117 | 42 | 15 | 31 |\n| TheImitationGame | 829 | 577 | 158 | 54 | 14 | 26 |\n| Super-SizeMe | 670 | 324 | 152 | 71 | 41 | 82 |\n| InsideJob | 437 | 308 | 54 | 21 | 10 | 44 |\n| Citizenfour | 199 | 168 | 17 | 10 | 1 | 3 |",0]
["| Year | Bottega<br>Veneta | Burberr<br>Prorsum | Dior<br>Homme | Emporio<br>Armani | Erme.<br>Zegna | Givench | Gucci | Hermes | John<br>Varva | Louis<br>Vuitt | Neil<br>Barret | Prad | Thom<br>Brow |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2008 | 78 | 80 | 51 | 187 | 0 | 38 | 87 | 87 | 46 | 109 | 70 | 83 | 103 |\n| 2009 | 54 | 87 | 79 | 202 | 58 | 57 | 89 | 46 | 36 | 94 | 70 | 89 | 111 |\n| 2010 | 79 | 78 | 80 | 155 | 62 | 55 | 89 | 80 | 49 | 104 | 67 | 74 | 81 |\n| 2011 | 74 | 83 | 75 | 157 | 103 | 70 | 85 | 43 | 81 | 98 | 71 | 79 | 83 |\n| 2012 | 74 | 79 | 79 | 148 | 81 | 79 | 73 | 83 | 70 | 79 | 73 | 84 | 86 |","| 2013 | 86 | 85 | 79 | 135 | 73 | 57 | 79 | 66 | 65 | 79 | 68 | 76 | 79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2014 | 88 | 85 | 82 | 192 | 79 | 100 | 75 | 81 | 71 | 83 | 76 | 73 | 82 |\n| 2015 | 82 | 85 | 80 | 150 | 80 | 104 | 72 | 72 | 75 | 76 | 76 | 65 | 81 |",1]
["| Year | Bottega<br>Veneta | Burberr<br>Prorsum | Dior<br>Homme | Emporio<br>Armani | Erme.<br>Zegna | Givench | Gucci | Hermes | John<br>Varva | Louis<br>Vuitt | Neil<br>Barret | Prad | Thom<br>Brow |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2008 | 78 | 80 | 51 | 187 | 0 | 38 | 87 | 87 | 46 | 109 | 70 | 83 | 103 |\n| 2009 | 54 | 87 | 79 | 202 | 58 | 57 | 89 | 46 | 36 | 94 | 70 | 89 | 111 |\n| 2010 | 79 | 78 | 80 | 155 | 62 | 55 | 89 | 80 | 49 | 104 | 67 | 74 | 81 |\n| 2011 | 74 | 83 | 75 | 157 | 103 | 70 | 85 | 43 | 81 | 98 | 71 | 79 | 83 |\n| 2012 | 74 | 79 | 79 | 148 | 81 | 79 | 73 | 83 | 70 | 79 | 73 | 84 | 86 |","| Blackﬁsh | 955 | 750 | 117 | 42 | 15 | 31 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TheImitationGame | 829 | 577 | 158 | 54 | 14 | 26 |\n| Super-SizeMe | 670 | 324 | 152 | 71 | 41 | 82 |\n| InsideJob | 437 | 308 | 54 | 21 | 10 | 44 |\n| Citizenfour | 199 | 168 | 17 | 10 | 1 | 3 |",0]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |","| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>64.0 |\n| --- | --- |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| Two-stageHierarchicalModel | 81.5 |",1]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |","| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |\n| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>62.2 |\n| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| Two-stageHierarchicalModel | 81.5 |",0]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |\n| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>64.0 |","| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| --- | --- |\n| Two-stageHierarchicalModel | 81.5 |",1]
["| Method | Accuracy |\n| --- | --- |\n| B1-ImageClassiﬁcation<br>B2-PersonClassiﬁcation<br>B3-Fine-tunedPersonClassiﬁcation | 63.0<br>61.8<br>66.3 |\n| B4-TemporalModelwithImageFeatures<br>B5-TemporalModelwithPersonFeatures | 64.2<br>64.0 |","| B6-Two-stageModelwithoutLSTM1<br>B7-Two-stageModelwithoutLSTM2 | 70.1<br>76.8 |\n| --- | --- |\n| Two-stageHierarchicalModel | 81.5 |",0]
["| Roads | Sections | Length | PointsNumber | STime | MTime | RTime |\n| --- | --- | --- | --- | --- | --- | --- |\n| ZCABR | sec1 | 770.06m | 131681009 | 101.562s | 1331.77s | 23.4443s |\n| LHSR | sec1 | 734.051m | 91212406 | 34.9641s | 462.631s | 11.0206s |\n| sec2 | 593.169m | 69915170 | 24.2266s | 178.086s | 3.50449s |  |\n| sec3 | 244.527m | 26623511 | 8.99354s | 16.3995s | 1.11341s |  |","| WPR | sec1 | 453.526m | 44234114 | 15.2498s | 0.131961s | 0.00027s |\n| --- | --- | --- | --- | --- | --- | --- |\n| sec2 | 632.114m | 51933545 | 19.9543s | 54.6281s | 6.75658s |  |\n| sec3 | 870.5m | 34694921 | 28.8413s | 58.7381s | 5.59397s |  |",1]
["| Roads | Sections | Length | PointsNumber | STime | MTime | RTime |\n| --- | --- | --- | --- | --- | --- | --- |\n| ZCABR | sec1 | 770.06m | 131681009 | 101.562s | 1331.77s | 23.4443s |\n| LHSR | sec1 | 734.051m | 91212406 | 34.9641s | 462.631s | 11.0206s |\n| sec2 | 593.169m | 69915170 | 24.2266s | 178.086s | 3.50449s |  |\n| sec3 | 244.527m | 26623511 | 8.99354s | 16.3995s | 1.11341s |  |","|  | Dist | StaﬀCost | TravelCost | CO2 | CarUse |\n| --- | --- | --- | --- | --- | --- |\n| Lon-1 | 204.64:206.93 | 841:974.67 | 82.54:85.79 | 133.83:163.75 | 0:0.25 |\n| Lon-2 | 223.3:231.02 | 870.67:1014.67 | 89.71:103.04 | 148.94:192.85 | 0.06:0.33 |\n| Lon-4 | 225.37:244.09 | 904.33:1276 | 94.63:116.74 | 158.77:194.59 | 0.04:0.33 |\n| Lon-8 | 230.8:230.34 | 967.33:1376.67 | 103.5:140.1 | 159.07:240.54 | 0.04:0.35 |\n| Lon-Rnd | 244.91:259.11 | 944:1140.33 | 99.48:107.4 | 155.17:216.53 | 0.04:0.33 |\n|  |  |  |  |  |  |\n| Blon-1 | 698.48:619.15 | 1987:2182.33 | 222.63:207.17 | 527.27:506.02 | 0.04:0.25 |\n| Blon-2 | 729.21:644.07 | 2107.67:2385.67 | 244.54:243.55 | 584.99:581.16 | 0.07:0.32 |\n| Blon-4 | 708.25:722.53 | 2183.33:2545.67 | 267.85:272.34 | 584.19:637.26 | 0.08:0.33 |\n| Blon-8 | 688.94:658.52 | 2209:2772 | 272.22:311.52 | 586.81:637.5 | 0.08:0.38 |\n| Blon-rnd | 730.3:666.29 | 2256:2717.67 | 251.31:263.1 | 580.16:602.47 | 0.09:0.36 |",0]
["| Roads | Sections | Length | PointsNumber | STime | MTime | RTime |\n| --- | --- | --- | --- | --- | --- | --- |\n| ZCABR | sec1 | 770.06m | 131681009 | 101.562s | 1331.77s | 23.4443s |\n| LHSR | sec1 | 734.051m | 91212406 | 34.9641s | 462.631s | 11.0206s |\n| sec2 | 593.169m | 69915170 | 24.2266s | 178.086s | 3.50449s |  |\n| sec3 | 244.527m | 26623511 | 8.99354s | 16.3995s | 1.11341s |  |\n| WPR | sec1 | 453.526m | 44234114 | 15.2498s | 0.131961s | 0.00027s |","| sec2 | 632.114m | 51933545 | 19.9543s | 54.6281s | 6.75658s |\n| --- | --- | --- | --- | --- | --- |\n| sec3 | 870.5m | 34694921 | 28.8413s | 58.7381s | 5.59397s |",1]
["| Roads | Sections | Length | PointsNumber | STime | MTime | RTime |\n| --- | --- | --- | --- | --- | --- | --- |\n| ZCABR | sec1 | 770.06m | 131681009 | 101.562s | 1331.77s | 23.4443s |\n| LHSR | sec1 | 734.051m | 91212406 | 34.9641s | 462.631s | 11.0206s |\n| sec2 | 593.169m | 69915170 | 24.2266s | 178.086s | 3.50449s |  |\n| sec3 | 244.527m | 26623511 | 8.99354s | 16.3995s | 1.11341s |  |\n| WPR | sec1 | 453.526m | 44234114 | 15.2498s | 0.131961s | 0.00027s |","| Blon-4 | 708.25:722.53 | 2183.33:2545.67 | 267.85:272.34 | 584.19:637.26 | 0.08:0.33 |\n| --- | --- | --- | --- | --- | --- |\n| Blon-8 | 688.94:658.52 | 2209:2772 | 272.22:311.52 | 586.81:637.5 | 0.08:0.38 |\n| Blon-rnd | 730.3:666.29 | 2256:2717.67 | 251.31:263.1 | 580.16:602.47 | 0.09:0.36 |",0]
["| Approach | aero. | bicy. | boat | bott. | bus | car | chair | table | moto. | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc(Baseline)π/6 | 0.80 | 0.84 | 0.62 | 0.96 | 0.95 | 0.85 | 0.75 | 0.86 | 0.88 | 0.87 | 0.82 |","| Acc(Ours)π/6 | 0.84 | 0.84 | 0.58 | 0.96 | 0.92 | 0.88 | 0.91 | 0.57 | 0.88 | 0.87 | 0.85 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MedErr(Baseline) | 10.2 | 12.2 | 18.5 | 6.5 | 4.5 | 6.4 | 12.4 | 8.6 | 13.0 | 11.0 | 5.7 |\n| MedErr(Ours) | 8.7 | 11.5 | 18.4 | 6.4 | 2.4 | 4.5 | 7.3 | 12.5 | 10.5 | 8.3 | 4.4 |",1]
["| Approach | aero. | bicy. | boat | bott. | bus | car | chair | table | moto. | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc(Baseline)π/6 | 0.80 | 0.84 | 0.62 | 0.96 | 0.95 | 0.85 | 0.75 | 0.86 | 0.88 | 0.87 | 0.82 |","| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Approach | aero. | bicy. | boat | bott. | bus | car | chair | table | moto. | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc(Baseline)π/6 | 0.80 | 0.84 | 0.62 | 0.96 | 0.95 | 0.85 | 0.75 | 0.86 | 0.88 | 0.87 | 0.82 |","| Acc(Ours)π/6 | 0.84 | 0.84 | 0.58 | 0.96 | 0.92 | 0.88 | 0.91 | 0.57 | 0.88 | 0.87 | 0.85 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MedErr(Baseline) | 10.2 | 12.2 | 18.5 | 6.5 | 4.5 | 6.4 | 12.4 | 8.6 | 13.0 | 11.0 | 5.7 |\n| MedErr(Ours) | 8.7 | 11.5 | 18.4 | 6.4 | 2.4 | 4.5 | 7.3 | 12.5 | 10.5 | 8.3 | 4.4 |",1]
["| Approach | aero. | bicy. | boat | bott. | bus | car | chair | table | moto. | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc(Baseline)π/6 | 0.80 | 0.84 | 0.62 | 0.96 | 0.95 | 0.85 | 0.75 | 0.86 | 0.88 | 0.87 | 0.82 |","| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Key | Explanation |\n| --- | --- |\n| d: | [TheEntireDictionary] |","| la: | [IP:PortinNetwork-ByteOrder] |\n| --- | --- |\n| m: | [MessageTypeHeader,e.g.,getpeers] |\n| peer: | [LocalPeerID] |\n| share: | [LocalShareID] |\n| e: | [End] |",1]
["| Key | Explanation |\n| --- | --- |\n| d: | [TheEntireDictionary] |","| Usecase | Typeofdata | Securityneed | Speciﬁcity |\n| --- | --- | --- | --- |\n| PeerSense | BDADDR:social-ID | private | device-speciﬁc |\n| SCAMPI | SCAMPI-ID:social-ID | private | device-speciﬁc |\n| FoFﬁnder | bearertoken | private | user-speciﬁc |\n| Publickeydistribution | publickey | public | user-speciﬁc |",0]
["| Key | Explanation |\n| --- | --- |\n| d: | [TheEntireDictionary] |\n| la: | [IP:PortinNetwork-ByteOrder] |\n| m: | [MessageTypeHeader,e.g.,getpeers] |\n| peer: | [LocalPeerID] |","| share: | [LocalShareID] |\n| --- | --- |\n| e: | [End] |",1]
["| Key | Explanation |\n| --- | --- |\n| d: | [TheEntireDictionary] |\n| la: | [IP:PortinNetwork-ByteOrder] |\n| m: | [MessageTypeHeader,e.g.,getpeers] |\n| peer: | [LocalPeerID] |","| FoFﬁnder | bearertoken | private | user-speciﬁc |\n| --- | --- | --- | --- |\n| Publickeydistribution | publickey | public | user-speciﬁc |",0]
["| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |","| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |\n| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |\n| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",1]
["| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 |\n| 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 |\n| 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |\n| 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |\n| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |\n| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |",0]
["| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |\n| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |\n| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |","| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |\n| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 |",1]
["| c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |\n| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |\n| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |","| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |",0]
["| Newspaper | Facebookproﬁle | Posts | Comments |\n| --- | --- | --- | --- |\n| TheWallStreetJournal | wsj | 1577 | 136969 |\n| TheNewYorkTimes | nytimes | 265 | 98099 |\n| USAToday | usatoday | 560 | 155893 |\n| LosAngelesTimes | latimes | 532 | 124477 |\n| SanJoseMercuryNews | mercurynews | 0 | 0 |\n| NewYorkDailyNews | NYDailyNews | 1637 | 124948 |\n| NewYorkPost | NYPost | 479 | 132715 |\n| TheWashingtonPost | washingtonpost | 232 | 101260 |\n| ChicagoSun-Times | thechicagosuntimes | 2215 | 64675 |\n| TheDenverPost | denverpost | 1376 | 113621 |\n| ChicagoTribune | chicagotribune | 2401 | 141361 |\n| TheDallasMorningNews | dallasmorningnews | 2458 | 148154 |\n| Newsday | newsday | 2432 | 60549 |\n| HoustonChronicle | houstonchronicle | 1350 | 920 |\n| OrangeCountyRegister | ocregister | 1123 | 37153 |\n| TheStar-Ledger | Star.Ledger | 284 | 3142 |","| TampaBayTimes | tampabaycom | 1539 | 76388 |\n| --- | --- | --- | --- |\n| ThePlainDealer | ThePlainDealerCLE | 4 | 33 |\n| ThePhiladelphiaInquirer | phillyinquirer | 2124 | 10491 |\n| StarTribune | startribune | 2820 | 106357 |\n| TheArizonaRepublic | azcentral | 2073 | 151590 |\n| HonoluluStar-Advertiser | staradvertiser | 3487 | 52447 |\n| LasVegasReview-Journal | reviewjournal | 3588 | 108614 |\n| SanDiegoUnion-Tribune | SanDiegoUnionTribune | 2163 | 45530 |\n| TheBostonGlobe | globe | 3098 | 129652 |",1]
["| Newspaper | Facebookproﬁle | Posts | Comments |\n| --- | --- | --- | --- |\n| TheWallStreetJournal | wsj | 1577 | 136969 |\n| TheNewYorkTimes | nytimes | 265 | 98099 |\n| USAToday | usatoday | 560 | 155893 |\n| LosAngelesTimes | latimes | 532 | 124477 |\n| SanJoseMercuryNews | mercurynews | 0 | 0 |\n| NewYorkDailyNews | NYDailyNews | 1637 | 124948 |\n| NewYorkPost | NYPost | 479 | 132715 |\n| TheWashingtonPost | washingtonpost | 232 | 101260 |\n| ChicagoSun-Times | thechicagosuntimes | 2215 | 64675 |\n| TheDenverPost | denverpost | 1376 | 113621 |\n| ChicagoTribune | chicagotribune | 2401 | 141361 |\n| TheDallasMorningNews | dallasmorningnews | 2458 | 148154 |\n| Newsday | newsday | 2432 | 60549 |\n| HoustonChronicle | houstonchronicle | 1350 | 920 |\n| OrangeCountyRegister | ocregister | 1123 | 37153 |\n| TheStar-Ledger | Star.Ledger | 284 | 3142 |","| Outlet | N | Outlet | N |\n| --- | --- | --- | --- |\n| HeavilyRightLeaning | HeavilyLeftLeaning |  |  |\n| RealClearPolitics | 7 | HuﬃngtonPost | 68 |\n| WashingtonTimes | 11 | Vox | 16 |\n| Breitbart | 7 | Politico | 94 |\n| TheHill | 32 | NewYorker | 13 |\n| NationalReview | 10 |  |  |\n| RightLeaning | LeftLeaning |  |  |\n| NewYorkPost | 19 | USATODAY | 45 |\n| Oklahoman | 12 | Bloomberg | 107 |\n| Tennessean | 9 | BuzzFeed | 57 |\n| WallStreetJournal | 82 | NewYorkTimes | 190 |\n| ArizonaRepublic | 22 | WashingtonPost | 143 |\n| FloridaTimes-Union | 13 |  |  |\n| WeeklyStandard | 9 |  |  |\n| DallasMorningNews | 25 |  |  |\n| NewYorkDaily<br>News | 25 |  |  |\n| OrangeCounty<br>Register | 12 |  |  |\n| LasVegasReview-<br>Journal | 14 |  |  |",0]
["| Newspaper | Facebookproﬁle | Posts | Comments |\n| --- | --- | --- | --- |\n| TheWallStreetJournal | wsj | 1577 | 136969 |\n| TheNewYorkTimes | nytimes | 265 | 98099 |\n| USAToday | usatoday | 560 | 155893 |\n| LosAngelesTimes | latimes | 532 | 124477 |","| SanJoseMercuryNews | mercurynews | 0 | 0 |\n| --- | --- | --- | --- |\n| NewYorkDailyNews | NYDailyNews | 1637 | 124948 |\n| NewYorkPost | NYPost | 479 | 132715 |\n| TheWashingtonPost | washingtonpost | 232 | 101260 |\n| ChicagoSun-Times | thechicagosuntimes | 2215 | 64675 |\n| TheDenverPost | denverpost | 1376 | 113621 |\n| ChicagoTribune | chicagotribune | 2401 | 141361 |\n| TheDallasMorningNews | dallasmorningnews | 2458 | 148154 |\n| Newsday | newsday | 2432 | 60549 |\n| HoustonChronicle | houstonchronicle | 1350 | 920 |\n| OrangeCountyRegister | ocregister | 1123 | 37153 |\n| TheStar-Ledger | Star.Ledger | 284 | 3142 |\n| TampaBayTimes | tampabaycom | 1539 | 76388 |\n| ThePlainDealer | ThePlainDealerCLE | 4 | 33 |\n| ThePhiladelphiaInquirer | phillyinquirer | 2124 | 10491 |\n| StarTribune | startribune | 2820 | 106357 |\n| TheArizonaRepublic | azcentral | 2073 | 151590 |\n| HonoluluStar-Advertiser | staradvertiser | 3487 | 52447 |\n| LasVegasReview-Journal | reviewjournal | 3588 | 108614 |\n| SanDiegoUnion-Tribune | SanDiegoUnionTribune | 2163 | 45530 |\n| TheBostonGlobe | globe | 3098 | 129652 |",1]
["| Newspaper | Facebookproﬁle | Posts | Comments |\n| --- | --- | --- | --- |\n| TheWallStreetJournal | wsj | 1577 | 136969 |\n| TheNewYorkTimes | nytimes | 265 | 98099 |\n| USAToday | usatoday | 560 | 155893 |\n| LosAngelesTimes | latimes | 532 | 124477 |","| OrangeCounty<br>Register | 12 |  |  |\n| --- | --- | --- | --- |\n| LasVegasReview-<br>Journal | 14 |  |  |",0]
["| Knownbits | Meanvalueofninsimulations | ValueofnbyTheorem?? |\n| --- | --- | --- |\n| 30 | 7.0 | 7 |\n| 28 | 7.4 | 8 |\n| 26 | 8.0 | 8 |\n| 24 | 8.5 | 9 |\n| 22 | 9.0 | 10 |\n| 20 | 9.8 | 11 |\n| 18 | 11.0 | 12 |\n| 16 | 12.5 | 14 |\n| 14 | 14.3 | 17 |\n| 12 | 17.1 | 21 |","| 10 | 20.7 | 30 |\n| --- | --- | --- |\n| 8 | 27.3 | 54 |\n| 6 | 50 | - |",1]
["| Knownbits | Meanvalueofninsimulations | ValueofnbyTheorem?? |\n| --- | --- | --- |\n| 30 | 7.0 | 7 |\n| 28 | 7.4 | 8 |\n| 26 | 8.0 | 8 |\n| 24 | 8.5 | 9 |\n| 22 | 9.0 | 10 |\n| 20 | 9.8 | 11 |\n| 18 | 11.0 | 12 |\n| 16 | 12.5 | 14 |\n| 14 | 14.3 | 17 |\n| 12 | 17.1 | 21 |","| Axon | meanvalue[mA] | standarddeviation[mA] |\n| --- | --- | --- |\n| 1 | 0.14 | 0.01 |\n| 2 | 0.56 | 0.06 |\n| 3 | 1.44 | 0.15 |\n| 4 | 2.97 | 0.31 |\n| 5 | 5.30 | 0.56 |\n| 6 | 8.65 | 0.91 |\n| 7 | 13.20 | 1.39 |\n| 8 | 19.15 | 2.02 |\n| 9 | 26.67 | 2.81 |\n| 10 | 36.06 | 3.80 |",0]
["| Knownbits | Meanvalueofninsimulations | ValueofnbyTheorem?? |\n| --- | --- | --- |\n| 30 | 7.0 | 7 |\n| 28 | 7.4 | 8 |\n| 26 | 8.0 | 8 |\n| 24 | 8.5 | 9 |\n| 22 | 9.0 | 10 |\n| 20 | 9.8 | 11 |\n| 18 | 11.0 | 12 |\n| 16 | 12.5 | 14 |\n| 14 | 14.3 | 17 |\n| 12 | 17.1 | 21 |\n| 10 | 20.7 | 30 |","| 8 | 27.3 | 54 |\n| --- | --- | --- |\n| 6 | 50 | - |",1]
["| Knownbits | Meanvalueofninsimulations | ValueofnbyTheorem?? |\n| --- | --- | --- |\n| 30 | 7.0 | 7 |\n| 28 | 7.4 | 8 |\n| 26 | 8.0 | 8 |\n| 24 | 8.5 | 9 |\n| 22 | 9.0 | 10 |\n| 20 | 9.8 | 11 |\n| 18 | 11.0 | 12 |\n| 16 | 12.5 | 14 |\n| 14 | 14.3 | 17 |\n| 12 | 17.1 | 21 |\n| 10 | 20.7 | 30 |","| 7 | 13.20 | 1.39 |\n| --- | --- | --- |\n| 8 | 19.15 | 2.02 |\n| 9 | 26.67 | 2.81 |\n| 10 | 36.06 | 3.80 |",0]
["| TypeofHashFamily | PreviousResults | OurResults |\n| --- | --- | --- |\n| LinearProbing |  |  |\n| 2-universalhashing<br>4-wiseindependence | 4logT<br>2.5logT | 3logT<br>2logT |\n| BalancedAllocationswithdChoices |  |  |\n| 2-universalhashing<br>4-wiseindependence | (d+2)logT<br>(d+1)logT | (d+1)logT<br>— |","| BloomFilters |  |  |\n| --- | --- | --- |\n| 2-universalhashing<br>4-wiseindependence | 4logT<br>3logT | 3logT<br>— |",1]
["| TypeofHashFamily | PreviousResults | OurResults |\n| --- | --- | --- |\n| LinearProbing |  |  |\n| 2-universalhashing<br>4-wiseindependence | 4logT<br>2.5logT | 3logT<br>2logT |\n| BalancedAllocationswithdChoices |  |  |\n| 2-universalhashing<br>4-wiseindependence | (d+2)logT<br>(d+1)logT | (d+1)logT<br>— |","| Method | 64bits96bits128bits256bits |\n| --- | --- |\n| SVHN |  |\n| DeepHash | 4.064.324.144.11 |\n| DMIH | 10.4010.949.108.17 |\n| NUS-WIDE |  |\n| DeepHash | 9.239.598.998.97 |\n| DMIH | 9.729.849.519.39 |",0]
["| TypeofHashFamily | PreviousResults | OurResults |\n| --- | --- | --- |\n| LinearProbing |  |  |\n| 2-universalhashing<br>4-wiseindependence | 4logT<br>2.5logT | 3logT<br>2logT |\n| BalancedAllocationswithdChoices |  |  |\n| 2-universalhashing<br>4-wiseindependence | (d+2)logT<br>(d+1)logT | (d+1)logT<br>— |","| BloomFilters |  |  |\n| --- | --- | --- |\n| 2-universalhashing<br>4-wiseindependence | 4logT<br>3logT | 3logT<br>— |",1]
["| TypeofHashFamily | PreviousResults | OurResults |\n| --- | --- | --- |\n| LinearProbing |  |  |\n| 2-universalhashing<br>4-wiseindependence | 4logT<br>2.5logT | 3logT<br>2logT |\n| BalancedAllocationswithdChoices |  |  |\n| 2-universalhashing<br>4-wiseindependence | (d+2)logT<br>(d+1)logT | (d+1)logT<br>— |","| DeepHash | 4.064.324.144.11 |\n| --- | --- |\n| DMIH | 10.4010.949.108.17 |\n| NUS-WIDE |  |\n| DeepHash | 9.239.598.998.97 |\n| DMIH | 9.729.849.519.39 |",0]
["|  | CUHK01<br>VIPeRPRID<br>(N=871/485)t |\n| --- | --- |\n| SCSP<br>LSSCDL<br>TMA<br>(cid:96)1GL<br>SiameseLSTM | 53.5--<br>42.6--<br>43.8--<br>41.530.1-/50.1<br>42.4-- |","| MetricEnsemble<br>DNS | 45.9--<br>51.140.9-/69.0 |\n| --- | --- |\n| IDLA<br>DGD<br>MCP-CNN<br>GatedS-CNN<br>EDM<br>JointLearning<br>CAN | 34.8-65.0/47.5<br>38.664.0*-/66.6<br>47.822.0-/53.7<br>37.8--<br>40.9-86.6/-<br>35.8-72.5/-<br>--81.0/- |\n| Ours | 56.343.693.2/77.0 |",1]
["|  | CUHK01<br>VIPeRPRID<br>(N=871/485)t |\n| --- | --- |\n| SCSP<br>LSSCDL<br>TMA<br>(cid:96)1GL<br>SiameseLSTM | 53.5--<br>42.6--<br>43.8--<br>41.530.1-/50.1<br>42.4-- |","| Cat | Method | Feature | Metric |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |\n| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",0]
["|  | CUHK01<br>VIPeRPRID<br>(N=871/485)t |\n| --- | --- |\n| SCSP<br>LSSCDL<br>TMA<br>(cid:96)1GL<br>SiameseLSTM | 53.5--<br>42.6--<br>43.8--<br>41.530.1-/50.1<br>42.4-- |\n| MetricEnsemble<br>DNS | 45.9--<br>51.140.9-/69.0 |","| IDLA<br>DGD<br>MCP-CNN<br>GatedS-CNN<br>EDM<br>JointLearning<br>CAN | 34.8-65.0/47.5<br>38.664.0*-/66.6<br>47.822.0-/53.7<br>37.8--<br>40.9-86.6/-<br>35.8-72.5/-<br>--81.0/- |\n| --- | --- |\n| Ours | 56.343.693.2/77.0 |",1]
["|  | CUHK01<br>VIPeRPRID<br>(N=871/485)t |\n| --- | --- |\n| SCSP<br>LSSCDL<br>TMA<br>(cid:96)1GL<br>SiameseLSTM | 53.5--<br>42.6--<br>43.8--<br>41.530.1-/50.1<br>42.4-- |\n| MetricEnsemble<br>DNS | 45.9--<br>51.140.9-/69.0 |","| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |\n| --- | --- | --- | --- | --- | --- |\n| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",0]
["|  | precision | recall | F1-score | support |\n| --- | --- | --- | --- | --- |\n| negative | 0.63 | 0.50 | 0.56 | 493 |\n| neutral | 0.11 | 0.31 | 0.16 | 127 |","| positive | 0.41 | 0.05 | 0.09 | 143 |\n| --- | --- | --- | --- | --- |\n| avg/total | 0.50 | 0.38 | 0.40 | 763 |",1]
["|  | precision | recall | F1-score | support |\n| --- | --- | --- | --- | --- |\n| negative | 0.63 | 0.50 | 0.56 | 493 |\n| neutral | 0.11 | 0.31 | 0.16 | 127 |","|  | avg/total | Positive | Neutral |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Featurecombination | Prec | Recall | F1 | Prec | Recall | F1 | Prec | Recall | F1 | Prec |\n| +f1,f2 | 0.57 | 0.45 | 0.47 | 0.32 | 0.43 | 0.37 | 0.25 | 0.57 | 0.35 | 0.72 |\n| +f1,f2,f4 | 0.57 | 0.45 | 0.47 | 0.33 | 0.44 | 0.38 | 0.25 | 0.56 | 0.34 | 0.72 |\n| +f1,f2,f4,f6,f7 | 0.59 | 0.46 | 0.49 | 0.30 | 0.43 | 0.35 | 0.26 | 0.54 | 0.35 | 0.76 |\n| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",0]
["|  | precision | recall | F1-score | support |\n| --- | --- | --- | --- | --- |\n| negative | 0.63 | 0.50 | 0.56 | 493 |\n| neutral | 0.11 | 0.31 | 0.16 | 127 |","| positive | 0.41 | 0.05 | 0.09 | 143 |\n| --- | --- | --- | --- | --- |\n| avg/total | 0.50 | 0.38 | 0.40 | 763 |",1]
["|  | precision | recall | F1-score | support |\n| --- | --- | --- | --- | --- |\n| negative | 0.63 | 0.50 | 0.56 | 493 |\n| neutral | 0.11 | 0.31 | 0.16 | 127 |","| +f1,f2,f4,f5,f6,f7 | 0.60 | 0.51 | 0.53 | 0.33 | 0.45 | 0.38 | 0.28 | 0.50 | 0.36 | 0.75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| +f1,f2,f3,f4,f5,f6,f7,f9 | 0.63 | 0.57 | 0.59 | 0.31 | 0.56 | 0.40 | 0.36 | 0.30 | 0.32 | 0.79 |\n| +f1,f2,f3,f4,f5,f6,f7,f8,f9 | 0.69 | 0.71 | 0.69 | 0.51 | 0.33 | 0.40 | 0.66 | 0.35 | 0.45 | 0.75 |",0]
["|  | n=70000 | n=90000 | n=110000 | n=130000 |\n| --- | --- | --- | --- | --- |\n| α1<br>β1<br>γ1 | 1.003105865295161<br>4.99550480505<br>1.006973943599736 | 1.004527508419694<br>4.996572933666054<br>1.005569625063884 | 1.005908384957321<br>4.996874637244825<br>1.005525834804714 | 1.004563178701584<br>4.997085464604526<br>1.005443736156998 |","| α2<br>β2<br>γ2 | 1.997899801933102<br>3.00924729807257<br>6.983912371495364 | 1.994761292346172<br>3.006009800104706<br>6.995712237697553 | 1.996505871342539<br>3.003001585321237<br>7.000067186843735 | 1.997080967404208<br>3.001073196705324<br>6.997260635821995 |\n| --- | --- | --- | --- | --- |\n| α3<br>β3<br>γ3 | 2.992415975197417<br>3.996354421254385<br>2.011169554063575 | 2.991612914024596<br>3.997515526964327<br>2.008509722164336 | 2.992789808210174<br>3.997543539027272<br>2.00122548779379 | 2.994439000075413<br>3.998591070496656<br>2.002206053742553 |\n| α4<br>β4<br>γ4 | 4.000763964265582<br>2.00318031010065<br>5.995614482020844 | 4.001485378474737<br>2.003537621477507<br>5.991712343275934 | 4.000474073657129<br>2.004098062824868<br>5.995947427021777 | 4.001167686028979<br>2.003664771868191<br>5.998250617490456 |",1]
["|  | n=70000 | n=90000 | n=110000 | n=130000 |\n| --- | --- | --- | --- | --- |\n| α1<br>β1<br>γ1 | 1.003105865295161<br>4.99550480505<br>1.006973943599736 | 1.004527508419694<br>4.996572933666054<br>1.005569625063884 | 1.005908384957321<br>4.996874637244825<br>1.005525834804714 | 1.004563178701584<br>4.997085464604526<br>1.005443736156998 |","| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |\n| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["|  | n=70000 | n=90000 | n=110000 | n=130000 |\n| --- | --- | --- | --- | --- |\n| α1<br>β1<br>γ1 | 1.003105865295161<br>4.99550480505<br>1.006973943599736 | 1.004527508419694<br>4.996572933666054<br>1.005569625063884 | 1.005908384957321<br>4.996874637244825<br>1.005525834804714 | 1.004563178701584<br>4.997085464604526<br>1.005443736156998 |","| α2<br>β2<br>γ2 | 1.997899801933102<br>3.00924729807257<br>6.983912371495364 | 1.994761292346172<br>3.006009800104706<br>6.995712237697553 | 1.996505871342539<br>3.003001585321237<br>7.000067186843735 | 1.997080967404208<br>3.001073196705324<br>6.997260635821995 |\n| --- | --- | --- | --- | --- |\n| α3<br>β3<br>γ3 | 2.992415975197417<br>3.996354421254385<br>2.011169554063575 | 2.991612914024596<br>3.997515526964327<br>2.008509722164336 | 2.992789808210174<br>3.997543539027272<br>2.00122548779379 | 2.994439000075413<br>3.998591070496656<br>2.002206053742553 |\n| α4<br>β4<br>γ4 | 4.000763964265582<br>2.00318031010065<br>5.995614482020844 | 4.001485378474737<br>2.003537621477507<br>5.991712343275934 | 4.000474073657129<br>2.004098062824868<br>5.995947427021777 | 4.001167686028979<br>2.003664771868191<br>5.998250617490456 |",1]
["|  | n=70000 | n=90000 | n=110000 | n=130000 |\n| --- | --- | --- | --- | --- |\n| α1<br>β1<br>γ1 | 1.003105865295161<br>4.99550480505<br>1.006973943599736 | 1.004527508419694<br>4.996572933666054<br>1.005569625063884 | 1.005908384957321<br>4.996874637244825<br>1.005525834804714 | 1.004563178701584<br>4.997085464604526<br>1.005443736156998 |","| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| --- | --- | --- | --- | --- |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["| Method | EER | HTER |\n| --- | --- | --- |\n| WholeFine-TunedVGG-Face | — | 1.20 |\n| EﬃcientFine-TunedVGG-Face | — | 16.62 |\n| PatchBasedHandcraftedApproach | — | 5.0 |\n| Fine-TunedVGGFace | 8.40 | 4.30 |\n| Lietal. | 2.90 | 6.10 |","| RandomPatchesBasedCNN | 2.50 | 1.25 |\n| --- | --- | --- |\n| Boulkenafetetal. | 0.40 | 2.90 |\n| lsCNNTraditionallyTrained | 0.33 | 1.75 |\n| lsCNN | 0.33 | 2.50 |",1]
["| Method | EER | HTER |\n| --- | --- | --- |\n| WholeFine-TunedVGG-Face | — | 1.20 |\n| EﬃcientFine-TunedVGG-Face | — | 16.62 |\n| PatchBasedHandcraftedApproach | — | 5.0 |\n| Fine-TunedVGGFace | 8.40 | 4.30 |\n| Lietal. | 2.90 | 6.10 |","| Method | LPBA40 | OASIS | Fetal |\n| --- | --- | --- | --- |\n| Auto-U-net | 10.03 | 22.85 | 14.11 |\n| U-net | 4.57 | 11.36 | 6.87 |\n| Auto-2.5D-CNN | 794.42 | 641.26 | 501.73 |\n| 2.5D-CNN | 396.23 | 320.12 | 244.9 |\n| PCNN | 36.51 | 40.99 | - |\n| BET | 2.04 | 1.96 | 1.62 |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |\n| Robex | 52.10 | 63.25 | - |\n| HWA | 18.73 | 13.42 | - |",0]
["| Method | EER | HTER |\n| --- | --- | --- |\n| WholeFine-TunedVGG-Face | — | 1.20 |\n| EﬃcientFine-TunedVGG-Face | — | 16.62 |\n| PatchBasedHandcraftedApproach | — | 5.0 |\n| Fine-TunedVGGFace | 8.40 | 4.30 |\n| Lietal. | 2.90 | 6.10 |\n| RandomPatchesBasedCNN | 2.50 | 1.25 |\n| Boulkenafetetal. | 0.40 | 2.90 |","| lsCNNTraditionallyTrained | 0.33 | 1.75 |\n| --- | --- | --- |\n| lsCNN | 0.33 | 2.50 |",1]
["| Method | EER | HTER |\n| --- | --- | --- |\n| WholeFine-TunedVGG-Face | — | 1.20 |\n| EﬃcientFine-TunedVGG-Face | — | 16.62 |\n| PatchBasedHandcraftedApproach | — | 5.0 |\n| Fine-TunedVGGFace | 8.40 | 4.30 |\n| Lietal. | 2.90 | 6.10 |\n| RandomPatchesBasedCNN | 2.50 | 1.25 |\n| Boulkenafetetal. | 0.40 | 2.90 |","| Robex | 52.10 | 63.25 | - |\n| --- | --- | --- | --- |\n| HWA | 18.73 | 13.42 | - |",0]
["| Problem | FirstParam. | SecondParam. |\n| --- | --- | --- |\n| RAN-k | k∈(1..5:1) | NA |\n| RANF-k | k∈(1..5:1) | NA |\n| FL-k | k∈(1..5:1) | α∈(0..1:0.1) |","| FCL-k | k∈(1..5:1) | α∈(0..1:0.1) |\n| --- | --- | --- |\n| WSCN | wf∈(−1..1:0.2) | sf∈(−1..1:0.2) |",1]
["| Problem | FirstParam. | SecondParam. |\n| --- | --- | --- |\n| RAN-k | k∈(1..5:1) | NA |\n| RANF-k | k∈(1..5:1) | NA |\n| FL-k | k∈(1..5:1) | α∈(0..1:0.1) |","| fi | f(0)i | f(1)i | f(1)−f(0)ii | i<br>(cid:80)<br>f(1)−f(0)jj<br>j=1 |\n| --- | --- | --- | --- | --- |\n| f1 | 3 | 5 | 2 | 2 |\n| f2 | 7 | 10 | 3 | 5 |\n| f3 | 1 | 8 | 7 | 12 |\n| f4 | 4 | 18 | 14 | 26 |",0]
["| Problem | FirstParam. | SecondParam. |\n| --- | --- | --- |\n| RAN-k | k∈(1..5:1) | NA |\n| RANF-k | k∈(1..5:1) | NA |\n| FL-k | k∈(1..5:1) | α∈(0..1:0.1) |","| FCL-k | k∈(1..5:1) | α∈(0..1:0.1) |\n| --- | --- | --- |\n| WSCN | wf∈(−1..1:0.2) | sf∈(−1..1:0.2) |",1]
["| Problem | FirstParam. | SecondParam. |\n| --- | --- | --- |\n| RAN-k | k∈(1..5:1) | NA |\n| RANF-k | k∈(1..5:1) | NA |\n| FL-k | k∈(1..5:1) | α∈(0..1:0.1) |","| f3 | 1 | 8 | 7 | 12 |\n| --- | --- | --- | --- | --- |\n| f4 | 4 | 18 | 14 | 26 |",0]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.7303 | 0.7339 | 0.7238 | 0.7257 | 0.6038 | 0.5872 | 0.6081 |\n| Gym | 0.5068 | 0.5141 | 0.4567 | 0.5176 | 0.4625 | 0.4484 | 0.0254 |\n| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |\n| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |\n| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |\n| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |\n| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |\n| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |\n| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |","| Human9 | 0.664 | 0.5661 | 0.5538 | 0.4515 | 0.484 | 0.0073 | 0.0031 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ironman | 0.4604 | 0.428 | 0.1816 | 0.4418 | 0.0138 | 0.1411 | 0.3368 |\n| Jogging-1 | 0.7098 | 0.7711 | 0.7369 | 0.7773 | 0.749 | 0.7217 | 0.4915 |\n| Jogging-2 | 0.7389 | 0.7439 | 0.7602 | 0.731 | 0.7565 | 0.7214 | 0.0338 |\n| Jump | 0.0496 | 0.1593 | 0.251 | 0.1659 | 0.1694 | 0.0656 | 0.0582 |\n| Jumping | 0.6867 | 0.7176 | 0.7157 | 0.6872 | 0.7184 | 0.5757 | 0.5276 |\n| KiteSurf | 0.7098 | 0.7676 | 0.6298 | 0.343 | 0.7358 | 0.6865 | 0.7103 |\n| Lemming | 0.7499 | 0.7108 | 0.7356 | 0.7582 | 0.7461 | 0.0215 | 0.0213 |\n| Liquor | 0.7915 | 0.6435 | 0.7477 | 0.6869 | 0.7283 | 0.6757 | 0.1501 |\n| Man | 0.8077 | 0.8017 | 0.779 | 0.7903 | 0.79 | 0.8088 | 0.8006 |\n| Matrix | 0.279 | 0.4671 | 0.4476 | 0.4724 | 0.4705 | 0.1057 | 0.0705 |\n| Mhyang | 0.7521 | 0.8094 | 0.8147 | 0.7603 | 0.6258 | 0.6084 | 0.674 |\n| MotorRolling | 0.5839 | 0.5833 | 0.5851 | 0.5976 | 0.5738 | 0.1283 | 0.2398 |\n| MountainBike | 0.7652 | 0.7172 | 0.7366 | 0.6433 | 0.7135 | 0.0063 | 0.0063 |\n| Panda | 0.6096 | 0.5238 | 0.5448 | 0.57 | 0.5035 | 0.5199 | 0.4794 |\n| RedTeam | 0.559 | 0.5711 | 0.6262 | 0.5641 | 0.5719 | 0.5234 | 0.2384 |\n| Rubik | 0.7301 | 0.7106 | 0.7157 | 0.7075 | 0.7009 | 0.7092 | 0.0121 |\n| Shaking | 0.6814 | 0.5986 | 0.6864 | 0.0907 | 0.0421 | 0.6373 | 0.0566 |\n| Singer1 | 0.7614 | 0.7159 | 0.7422 | 0.7128 | 0.6918 | 0.4938 | 0.6759 |\n| Singer2 | 0.6043 | 0.6906 | 0.0389 | 0.0848 | 0.0628 | 0.006 | 0.0034 |\n| Skater | 0.5256 | 0.5482 | 0.6131 | 0.5643 | 0.5827 | 0.5601 | 0.6149 |\n| Skater2 | 0.5395 | 0.5747 | 0.6726 | 0.5111 | 0.417 | 0.0297 | 0.0363 |\n| Skating1 | 0.6006 | 0.6439 | 0.5325 | 0.5804 | 0.6102 | 0.5495 | 0.592 |\n| Skating2-1 | 0.481 | 0.5028 | 0.4327 | 0.4521 | 0.4986 | 0.4919 | 0.4462 |\n| Skating2-2 | 0.3244 | 0.4951 | 0.5316 | 0.3864 | 0.4175 | 0.0196 | 0.017 |\n| Skiing | 0.4891 | 0.495 | 0.5056 | 0.4633 | 0.4762 | 0.3774 | 0.3633 |\n| Soccer | 0.4948 | 0.4218 | 0.3805 | 0.4939 | 0.4021 | 0.3697 | 0.4123 |\n| Subway | 0.7546 | 0.6754 | 0.6751 | 0.6724 | 0.6528 | 0.6727 | 0.6833 |\n| Surfer | 0.7007 | 0.7285 | 0.719 | 0.7023 | 0.7207 | 0.7411 | 0.1836 |\n| Suv | 0.744 | 0.7973 | 0.7744 | 0.7893 | 0.7716 | 0.6956 | 0.1601 |\n| Sylvester | 0.7125 | 0.6861 | 0.7 | 0.6968 | 0.1434 | 0.2789 | 0.2842 |\n| Tiger1 | 0.6224 | 0.6396 | 0.6679 | 0.6355 | 0.4128 | 0.4374 | 0.0549 |\n| Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |\n| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |\n| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |\n| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |\n| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |\n| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |\n| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |\n| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |\n| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |\n| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 |",1]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.7303 | 0.7339 | 0.7238 | 0.7257 | 0.6038 | 0.5872 | 0.6081 |\n| Gym | 0.5068 | 0.5141 | 0.4567 | 0.5176 | 0.4625 | 0.4484 | 0.0254 |\n| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |\n| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |\n| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |\n| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |\n| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |\n| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |\n| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |","| Split | Base | Male | Female | M+Skin1 | M+Skin3 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.7281 | 0.7349 | 0.7542 | 0.7417 | 0.82 |\n| 2 | 0.7134 | 0.6756 | 0.8364 | 0.7384 | 0.7728 |\n| 3 | 0.6817 | 0.7025 | 0.7001 | 0.74 | 0.7336 |\n| 4 | 0.7349 | 0.7309 | 0.7676 | 0.7633 | 0.7683 |\n| 5 | 0.6066 | 0.6133 | 0.6418 | 0.6517 | 0.648 |\n| 6 | 0.6756 | 0.6729 | 0.7577 | 0.7213 | 0.7524 |\n| 7 | 0.7309 | 0.7651 | 0.7294 | 0.7513 | 0.816 |\n| 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 |\n| 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 |\n| 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 |\n| Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |",0]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.7303 | 0.7339 | 0.7238 | 0.7257 | 0.6038 | 0.5872 | 0.6081 |\n| Gym | 0.5068 | 0.5141 | 0.4567 | 0.5176 | 0.4625 | 0.4484 | 0.0254 |\n| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |\n| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |\n| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |\n| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |\n| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |\n| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |\n| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |\n| Human9 | 0.664 | 0.5661 | 0.5538 | 0.4515 | 0.484 | 0.0073 | 0.0031 |\n| Ironman | 0.4604 | 0.428 | 0.1816 | 0.4418 | 0.0138 | 0.1411 | 0.3368 |\n| Jogging-1 | 0.7098 | 0.7711 | 0.7369 | 0.7773 | 0.749 | 0.7217 | 0.4915 |\n| Jogging-2 | 0.7389 | 0.7439 | 0.7602 | 0.731 | 0.7565 | 0.7214 | 0.0338 |\n| Jump | 0.0496 | 0.1593 | 0.251 | 0.1659 | 0.1694 | 0.0656 | 0.0582 |\n| Jumping | 0.6867 | 0.7176 | 0.7157 | 0.6872 | 0.7184 | 0.5757 | 0.5276 |\n| KiteSurf | 0.7098 | 0.7676 | 0.6298 | 0.343 | 0.7358 | 0.6865 | 0.7103 |\n| Lemming | 0.7499 | 0.7108 | 0.7356 | 0.7582 | 0.7461 | 0.0215 | 0.0213 |\n| Liquor | 0.7915 | 0.6435 | 0.7477 | 0.6869 | 0.7283 | 0.6757 | 0.1501 |\n| Man | 0.8077 | 0.8017 | 0.779 | 0.7903 | 0.79 | 0.8088 | 0.8006 |","| Matrix | 0.279 | 0.4671 | 0.4476 | 0.4724 | 0.4705 | 0.1057 | 0.0705 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mhyang | 0.7521 | 0.8094 | 0.8147 | 0.7603 | 0.6258 | 0.6084 | 0.674 |\n| MotorRolling | 0.5839 | 0.5833 | 0.5851 | 0.5976 | 0.5738 | 0.1283 | 0.2398 |\n| MountainBike | 0.7652 | 0.7172 | 0.7366 | 0.6433 | 0.7135 | 0.0063 | 0.0063 |\n| Panda | 0.6096 | 0.5238 | 0.5448 | 0.57 | 0.5035 | 0.5199 | 0.4794 |\n| RedTeam | 0.559 | 0.5711 | 0.6262 | 0.5641 | 0.5719 | 0.5234 | 0.2384 |\n| Rubik | 0.7301 | 0.7106 | 0.7157 | 0.7075 | 0.7009 | 0.7092 | 0.0121 |\n| Shaking | 0.6814 | 0.5986 | 0.6864 | 0.0907 | 0.0421 | 0.6373 | 0.0566 |\n| Singer1 | 0.7614 | 0.7159 | 0.7422 | 0.7128 | 0.6918 | 0.4938 | 0.6759 |\n| Singer2 | 0.6043 | 0.6906 | 0.0389 | 0.0848 | 0.0628 | 0.006 | 0.0034 |\n| Skater | 0.5256 | 0.5482 | 0.6131 | 0.5643 | 0.5827 | 0.5601 | 0.6149 |\n| Skater2 | 0.5395 | 0.5747 | 0.6726 | 0.5111 | 0.417 | 0.0297 | 0.0363 |\n| Skating1 | 0.6006 | 0.6439 | 0.5325 | 0.5804 | 0.6102 | 0.5495 | 0.592 |\n| Skating2-1 | 0.481 | 0.5028 | 0.4327 | 0.4521 | 0.4986 | 0.4919 | 0.4462 |\n| Skating2-2 | 0.3244 | 0.4951 | 0.5316 | 0.3864 | 0.4175 | 0.0196 | 0.017 |\n| Skiing | 0.4891 | 0.495 | 0.5056 | 0.4633 | 0.4762 | 0.3774 | 0.3633 |\n| Soccer | 0.4948 | 0.4218 | 0.3805 | 0.4939 | 0.4021 | 0.3697 | 0.4123 |\n| Subway | 0.7546 | 0.6754 | 0.6751 | 0.6724 | 0.6528 | 0.6727 | 0.6833 |\n| Surfer | 0.7007 | 0.7285 | 0.719 | 0.7023 | 0.7207 | 0.7411 | 0.1836 |\n| Suv | 0.744 | 0.7973 | 0.7744 | 0.7893 | 0.7716 | 0.6956 | 0.1601 |\n| Sylvester | 0.7125 | 0.6861 | 0.7 | 0.6968 | 0.1434 | 0.2789 | 0.2842 |\n| Tiger1 | 0.6224 | 0.6396 | 0.6679 | 0.6355 | 0.4128 | 0.4374 | 0.0549 |\n| Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |\n| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |\n| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |\n| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |\n| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |\n| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |\n| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |\n| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |\n| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |\n| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 |",1]
["|  | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Girl2 | 0.7303 | 0.7339 | 0.7238 | 0.7257 | 0.6038 | 0.5872 | 0.6081 |\n| Gym | 0.5068 | 0.5141 | 0.4567 | 0.5176 | 0.4625 | 0.4484 | 0.0254 |\n| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |\n| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |\n| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |\n| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |\n| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |\n| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |\n| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |\n| Human9 | 0.664 | 0.5661 | 0.5538 | 0.4515 | 0.484 | 0.0073 | 0.0031 |\n| Ironman | 0.4604 | 0.428 | 0.1816 | 0.4418 | 0.0138 | 0.1411 | 0.3368 |\n| Jogging-1 | 0.7098 | 0.7711 | 0.7369 | 0.7773 | 0.749 | 0.7217 | 0.4915 |\n| Jogging-2 | 0.7389 | 0.7439 | 0.7602 | 0.731 | 0.7565 | 0.7214 | 0.0338 |\n| Jump | 0.0496 | 0.1593 | 0.251 | 0.1659 | 0.1694 | 0.0656 | 0.0582 |\n| Jumping | 0.6867 | 0.7176 | 0.7157 | 0.6872 | 0.7184 | 0.5757 | 0.5276 |\n| KiteSurf | 0.7098 | 0.7676 | 0.6298 | 0.343 | 0.7358 | 0.6865 | 0.7103 |\n| Lemming | 0.7499 | 0.7108 | 0.7356 | 0.7582 | 0.7461 | 0.0215 | 0.0213 |\n| Liquor | 0.7915 | 0.6435 | 0.7477 | 0.6869 | 0.7283 | 0.6757 | 0.1501 |\n| Man | 0.8077 | 0.8017 | 0.779 | 0.7903 | 0.79 | 0.8088 | 0.8006 |","| 8 | 0.6561 | 0.6875 | 0.616 | 0.7648 | 0.8001 |\n| --- | --- | --- | --- | --- | --- |\n| 9 | 0.6531 | 0.6845 | 0.7939 | 0.7391 | 0.7095 |\n| 10 | 0.6645 | 0.6907 | 0.6875 | 0.7296 | 0.7504 |\n| Average | 0.68449 | 0.69579 | 0.72846 | 0.73412 | 0.75711 |",0]
["|  | µ | ψ | ω | τ |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.916 | 0.211 | 0.616 | 0.069 |\n| HPvsLIN | 0.549 | 0.017 | 0.226 | 0.07 |\n| HPvsGA | <0.001 | 0.064 | 0.988 | 0.09 |\n| PEOvsLIN | 0.618 | 0.178 | 0.243 | 0.525 |","| PEOvsGA | <0.001 | 0.434 | 0.471 | 0.129 |\n| --- | --- | --- | --- | --- |\n| LINvsGA | <0.001 | 0.471 | 0.465 | 0.458 |",1]
["|  | µ | ψ | ω | τ |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.916 | 0.211 | 0.616 | 0.069 |\n| HPvsLIN | 0.549 | 0.017 | 0.226 | 0.07 |\n| HPvsGA | <0.001 | 0.064 | 0.988 | 0.09 |\n| PEOvsLIN | 0.618 | 0.178 | 0.243 | 0.525 |","| network | τ(G) | σ(G) | θ(G) |\n| --- | --- | --- | --- |\n| cithepph | 0.22 | 0.56 | 0.37 |\n| cithepth | 0.2 | 0.53 | 0.36 |\n| colastroph | 0.24 | 0.51 | 0.49 |\n| colcondmat | 0.37 | 0.64 | 0.76 |\n| colgrqc | 0.44 | 0.79 | 0.89 |\n| colhepph | 0.26 | 0.58 | 0.7 |\n| colhepth | 0.39 | 0.69 | 0.83 |\n| emailenron | 0.21 | 0.5 | 0.63 |\n| emaileuall | 0.39 | 0.73 | 0.76 |\n| p2p4 | 0.11 | 0.38 | 0.36 |\n| p2p5 | 0.11 | 0.4 | 0.36 |\n| p2p6 | 0.12 | 0.39 | 0.38 |\n| p2p8 | 0.15 | 0.46 | 0.46 |\n| p2p9 | 0.15 | 0.46 | 0.42 |\n| p2p24 | 0.21 | 0.47 | 0.48 |\n| p2p25 | 0.23 | 0.49 | 0.5 |\n| p2p30 | 0.24 | 0.5 | 0.53 |\n| p2p31 | 0.25 | 0.5 | 0.52 |\n| roadnetca | 0.67 | 0.99 | 0.98 |\n| roadnetpa | 0.66 | 0.99 | 0.98 |\n| roadnettx | 0.67 | 0.99 | 0.98 |",0]
["|  | µ | ψ | ω | τ |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.916 | 0.211 | 0.616 | 0.069 |\n| HPvsLIN | 0.549 | 0.017 | 0.226 | 0.07 |\n| HPvsGA | <0.001 | 0.064 | 0.988 | 0.09 |","| PEOvsLIN | 0.618 | 0.178 | 0.243 | 0.525 |\n| --- | --- | --- | --- | --- |\n| PEOvsGA | <0.001 | 0.434 | 0.471 | 0.129 |\n| LINvsGA | <0.001 | 0.471 | 0.465 | 0.458 |",1]
["|  | µ | ψ | ω | τ |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.916 | 0.211 | 0.616 | 0.069 |\n| HPvsLIN | 0.549 | 0.017 | 0.226 | 0.07 |\n| HPvsGA | <0.001 | 0.064 | 0.988 | 0.09 |","| p2p30 | 0.24 | 0.5 | 0.53 |\n| --- | --- | --- | --- |\n| p2p31 | 0.25 | 0.5 | 0.52 |\n| roadnetca | 0.67 | 0.99 | 0.98 |\n| roadnetpa | 0.66 | 0.99 | 0.98 |\n| roadnettx | 0.67 | 0.99 | 0.98 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Network | Vertices | Edges | τ | IMQueries | kmax |\n| --- | --- | --- | --- | --- | --- |\n| wiki-Vote | 7K | 104K | 10 | 212 | 50 |\n| Flixster | 99K | 978K | 10 | 223 | 100 |\n| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |","| ﬂickr-growth | 2.3M | 33M | 10 | 779 | 200 |\n| --- | --- | --- | --- | --- | --- |\n| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 |",1]
["| Network | Vertices | Edges | τ | IMQueries | kmax |\n| --- | --- | --- | --- | --- | --- |\n| wiki-Vote | 7K | 104K | 10 | 212 | 50 |\n| Flixster | 99K | 978K | 10 | 223 | 100 |\n| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |","| Dataset | #Updates | LT | IC |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Total | ST | Total | ST |  |  |\n| wiki-Vote | 2.1×10 | 11.3 | 2.3 | 29.3 | 8.2 |\n| Flixster | 2.2×10 | 266 | 28 | 522 | 85 |\n| soc-Pokec | 6.4×10 | 3165 | 311 | 4461 | 735 |\n| ﬂickr-growth | 7.8×10 | 1908 | 201 | 3223 | 935 |\n| Twitter | 3.0×10 | 15369 | 375 | 19803 | 4770 |",0]
["| Network | Vertices | Edges | τ | IMQueries | kmax |\n| --- | --- | --- | --- | --- | --- |\n| wiki-Vote | 7K | 104K | 10 | 212 | 50 |\n| Flixster | 99K | 978K | 10 | 223 | 100 |\n| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |","| ﬂickr-growth | 2.3M | 33M | 10 | 779 | 200 |\n| --- | --- | --- | --- | --- | --- |\n| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 |",1]
["| Network | Vertices | Edges | τ | IMQueries | kmax |\n| --- | --- | --- | --- | --- | --- |\n| wiki-Vote | 7K | 104K | 10 | 212 | 50 |\n| Flixster | 99K | 978K | 10 | 223 | 100 |\n| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |","| wiki-Vote | 2.1×10 | 11.3 | 2.3 | 29.3 | 8.2 |\n| --- | --- | --- | --- | --- | --- |\n| Flixster | 2.2×10 | 266 | 28 | 522 | 85 |\n| soc-Pokec | 6.4×10 | 3165 | 311 | 4461 | 735 |\n| ﬂickr-growth | 7.8×10 | 1908 | 201 | 3223 | 935 |\n| Twitter | 3.0×10 | 15369 | 375 | 19803 | 4770 |",0]
["| Techniques | Movielens100K | OurDataset | Movielens1M |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| User-Usersimilarity | 0.6980 | 1.026 | 0.5307 | 1.03 | 0.607 | 0.8810 |\n| Item-Itemsimilarity | 0.744 | 1.061 | 0.648 | 1.049 | 0.671 | 0.9196 |\n| MatrixFactorization | 0.828 | 1.128 | 0.471 | 0.971 | 0.6863 | 0.8790 |","| ProbabilisticMatrixFactorization | 0.7564 | 0.9639 | 0.481 | 0.9372 | 0.7241 | 0.9127 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BlindCompressedSensing | 0.7356 | 0.9409 | 0.463 | 0.9612 | 0.6917 | 0.8789 |\n| MatrixCompletion | 0.8324 | 1.102 | 0.4827 | 0.9264 | 0.7196 | 0.9102 |",1]
["| Techniques | Movielens100K | OurDataset | Movielens1M |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| User-Usersimilarity | 0.6980 | 1.026 | 0.5307 | 1.03 | 0.607 | 0.8810 |\n| Item-Itemsimilarity | 0.744 | 1.061 | 0.648 | 1.049 | 0.671 | 0.9196 |\n| MatrixFactorization | 0.828 | 1.128 | 0.471 | 0.971 | 0.6863 | 0.8790 |","|  | Algorithm | H.264 | JP2K |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |\n| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |  |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |  |",0]
["| Techniques | Movielens100K | OurDataset | Movielens1M |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| User-Usersimilarity | 0.6980 | 1.026 | 0.5307 | 1.03 | 0.607 | 0.8810 |","| Item-Itemsimilarity | 0.744 | 1.061 | 0.648 | 1.049 | 0.671 | 0.9196 |\n| --- | --- | --- | --- | --- | --- | --- |\n| MatrixFactorization | 0.828 | 1.128 | 0.471 | 0.971 | 0.6863 | 0.8790 |\n| ProbabilisticMatrixFactorization | 0.7564 | 0.9639 | 0.481 | 0.9372 | 0.7241 | 0.9127 |\n| BlindCompressedSensing | 0.7356 | 0.9409 | 0.463 | 0.9612 | 0.6917 | 0.8789 |\n| MatrixCompletion | 0.8324 | 1.102 | 0.4827 | 0.9264 | 0.7196 | 0.9102 |",1]
["| Techniques | Movielens100K | OurDataset | Movielens1M |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| User-Usersimilarity | 0.6980 | 1.026 | 0.5307 | 1.03 | 0.607 | 0.8810 |","| VQUEMODES | SBIQE | 0.9262 | 0.8956 | 0.3286 | 0.9706 | 0.9473 | 0.2415 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BRISQUE | 0.9517 | 0.9323 | 0.2319 | 0.9809 | 0.9577 | 0.1097 |  |\n| NIQE | 0.9594 | 0.9439 | 0.1791 | 0.9859 | 0.9666 | 0.0912 |  |",0]
["| Field | Length(bits) |\n| --- | --- |\n| Messagetype | 6 |\n| Priority | 3 |\n| Checksumﬂag | 1 |\n| Open-loopsafestate | 8 |","| Sourceentitynumber | 5 |\n| --- | --- |\n| Sourceunitnumber | 5 |\n| Sourceautomatonnumber | 5 |\n| Destinationentitynumber | 5 |\n| Destinationunitnumber | 5 |\n| Destinationautomatonnumber | 5 |\n| Application-speciﬁcdatalength | 16 |",1]
["| Field | Length(bits) |\n| --- | --- |\n| Messagetype | 6 |\n| Priority | 3 |\n| Checksumﬂag | 1 |\n| Open-loopsafestate | 8 |","| Parameter | Valuerange | Bits |\n| --- | --- | --- |\n| Null-moveuse | 0–1 | 1 |\n| Null-movereduction | 0–7 | 3 |\n| Null-moveuseadaptivity | 0–1 | 1 |\n| Null-moveadaptivitydepth | 0–7 | 3 |\n| Futilitydepth | 0–3 | 2 |\n| Futilitythresholddepth-1 | 0–1023 | 10 |\n| Futilitythresholddepth-2 | 0–1023 | 10 |\n| Futilitythresholddepth-3 | 0–1023 | 10 |\n| Multi-cutuse | 0–1 | 1 |\n| Multi-cutreduction | 0–7 | 3 |\n| Multi-cutdepth | 0–7 | 3 |\n| Multi-cutmovenum | 0–31 | 5 |\n| Multi-cutcutnum | 0–7 | 3 |\n| Checkextension | 0–4 | 3 |\n| One-replyextension | 0–4 | 3 |\n| Recaptureextension | 0–4 | 3 |\n| Passedpawnextension | 0–4 | 3 |\n| Matethreatextension | 0–4 | 3 |\n| Totalchromosomelength |  | 70 |",0]
["| Field | Length(bits) |\n| --- | --- |\n| Messagetype | 6 |\n| Priority | 3 |\n| Checksumﬂag | 1 |","| Open-loopsafestate | 8 |\n| --- | --- |\n| Sourceentitynumber | 5 |\n| Sourceunitnumber | 5 |\n| Sourceautomatonnumber | 5 |\n| Destinationentitynumber | 5 |\n| Destinationunitnumber | 5 |\n| Destinationautomatonnumber | 5 |\n| Application-speciﬁcdatalength | 16 |",1]
["| Field | Length(bits) |\n| --- | --- |\n| Messagetype | 6 |\n| Priority | 3 |\n| Checksumﬂag | 1 |","| Passedpawnextension | 0–4 | 3 |\n| --- | --- | --- |\n| Matethreatextension | 0–4 | 3 |\n| Totalchromosomelength |  | 70 |",0]
["| Paper | Authors | Community | NumberofCitations |\n| --- | --- | --- | --- |\n| p1 | u,u12 | c1 | 0 |","| p2 | u,u14 | c1 | 0 |\n| --- | --- | --- | --- |\n| p3 | u,u23 | c1 | 3 |\n| p4 | u,u34 | c1 | 3 |\n| p5 | u,u12 | c1 | 50 |\n| p6 | u,u,u456 | c2 | 9 |\n| p7 | u,u67 | c2 | 10 |\n| p8 | u,u47 | c2 | 11 |",1]
["| Paper | Authors | Community | NumberofCitations |\n| --- | --- | --- | --- |\n| p1 | u,u12 | c1 | 0 |","| language | ﬁnalstates | language | ﬁnalstates |\n| --- | --- | --- | --- |\n| L | 3,7,8 | pcpc(L) | 1,5,6,7 |\n| c(L) | 1,2,4,5,6 | cpcp(L) | 2,3,6,7 |\n| p(L) | 1,2,3,5,6,7,8 | cpcpc(L) | 2,3,4,8 |\n| pc(L) | 1,2,3,4,5,6,8 | pcpcp(L) | 1,2,3,5,6,7 |\n| cp(L) | 4 | pcpcpc(L) | 1,2,3,4,5,8 |\n| cpc(L) | 7 | cpcpcp(L) | 4,8 |\n| pcp(L) | 1,4,5,8 | cpcpcpc(L) | 6,7 |",0]
["| Paper | Authors | Community | NumberofCitations |\n| --- | --- | --- | --- |\n| p1 | u,u12 | c1 | 0 |\n| p2 | u,u14 | c1 | 0 |\n| p3 | u,u23 | c1 | 3 |\n| p4 | u,u34 | c1 | 3 |","| p5 | u,u12 | c1 | 50 |\n| --- | --- | --- | --- |\n| p6 | u,u,u456 | c2 | 9 |\n| p7 | u,u67 | c2 | 10 |\n| p8 | u,u47 | c2 | 11 |",1]
["| Paper | Authors | Community | NumberofCitations |\n| --- | --- | --- | --- |\n| p1 | u,u12 | c1 | 0 |\n| p2 | u,u14 | c1 | 0 |\n| p3 | u,u23 | c1 | 3 |\n| p4 | u,u34 | c1 | 3 |","| cp(L) | 4 | pcpcpc(L) | 1,2,3,4,5,8 |\n| --- | --- | --- | --- |\n| cpc(L) | 7 | cpcpcp(L) | 4,8 |\n| pcp(L) | 1,4,5,8 | cpcpcpc(L) | 6,7 |",0]
["| Hyperparameter | NMT | SPF | Ours |\n| --- | --- | --- | --- |\n| BatchSize | 128 | 100 | 128 |\n| HiddenLayerSize | 512 | 600 | 512 |\n| EncoderLayer | 2 | 2 | 2 |\n| DecoderLayer | 2 | 1 | 2 |\n| Optimizer | ADAM | ADAM | ADAM |","| LearningRate | 0.001 | 0.001 | 0.001 |\n| --- | --- | --- | --- |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",1]
["| Hyperparameter | NMT | SPF | Ours |\n| --- | --- | --- | --- |\n| BatchSize | 128 | 100 | 128 |\n| HiddenLayerSize | 512 | 600 | 512 |\n| EncoderLayer | 2 | 2 | 2 |\n| DecoderLayer | 2 | 1 | 2 |\n| Optimizer | ADAM | ADAM | ADAM |","| ASRsystem |  |\n| --- | --- |\n| Inputunits | 23 |\n| Hiddenunits | 512 |\n| Outputunits | 27293 |\n| LSTMlayerdepth | 2 |\n| MTsystem |  |\n| Sourcevocabulary | 27293 |\n| Targetvocabulary | 33155 |\n| Embedsize | 128 |\n| Inputunits | 128 |\n| Hiddenunits | 512 |\n| Outputunits | 33155 |\n| LSTMlayerdepth | 2 |\n| Optimization |  |\n| Initiallearningrate | 0.001000 |\n| Learningdescendrate | 1.800000 |\n| Optimizingmethod | Adam |",0]
["| Hyperparameter | NMT | SPF | Ours |\n| --- | --- | --- | --- |\n| BatchSize | 128 | 100 | 128 |\n| HiddenLayerSize | 512 | 600 | 512 |\n| EncoderLayer | 2 | 2 | 2 |\n| DecoderLayer | 2 | 1 | 2 |","| Optimizer | ADAM | ADAM | ADAM |\n| --- | --- | --- | --- |\n| LearningRate | 0.001 | 0.001 | 0.001 |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",1]
["| Hyperparameter | NMT | SPF | Ours |\n| --- | --- | --- | --- |\n| BatchSize | 128 | 100 | 128 |\n| HiddenLayerSize | 512 | 600 | 512 |\n| EncoderLayer | 2 | 2 | 2 |\n| DecoderLayer | 2 | 1 | 2 |","| MTsystem |  |\n| --- | --- |\n| Sourcevocabulary | 27293 |\n| Targetvocabulary | 33155 |\n| Embedsize | 128 |\n| Inputunits | 128 |\n| Hiddenunits | 512 |\n| Outputunits | 33155 |\n| LSTMlayerdepth | 2 |\n| Optimization |  |\n| Initiallearningrate | 0.001000 |\n| Learningdescendrate | 1.800000 |\n| Optimizingmethod | Adam |",0]
["| Numberofwriters | 16 |\n| --- | --- |\n| Numberofpages | 176 |","| Numberoflines | 1717 |\n| --- | --- |\n| NumberofWords | 12853 |\n| OOVwords | 1066 |",1]
["| Numberofwriters | 16 |\n| --- | --- |\n| Numberofpages | 176 |","|  | Count |\n| --- | --- |\n| Writers | 1001(M:561,F:440) |\n| Pages | 4512 |\n| Avg.Pages/Writer | 4 |\n| Lines | 31124 |\n| SegmentedWords | 152680 |\n| SegmentedCharacters | 106433 |\n| PAWs | 325508 |",0]
["| Numberofwriters | 16 |\n| --- | --- |\n| Numberofpages | 176 |","| Numberoflines | 1717 |\n| --- | --- |\n| NumberofWords | 12853 |\n| OOVwords | 1066 |",1]
["| Numberofwriters | 16 |\n| --- | --- |\n| Numberofpages | 176 |","| Lines | 31124 |\n| --- | --- |\n| SegmentedWords | 152680 |\n| SegmentedCharacters | 106433 |\n| PAWs | 325508 |",0]
["| Device-directedspeech |\n| --- |\n| what’stheweatherlikeinlasvegas |\n| playpopularmusic |\n| marktheﬁrstitemdone |","| whatisscratchprogramming |\n| --- |\n| Nondevice-directedspeech |\n| oriftheywantshecanjustqueueforbetter |\n| wellthat’showwehadallthetraining |\n| talktoalexabutwe’retalkingtodannyrightnow |\n| livetogetherlikemonthsagoandtheymaystillbe<br>boring |",1]
["| Device-directedspeech |\n| --- |\n| what’stheweatherlikeinlasvegas |\n| playpopularmusic |\n| marktheﬁrstitemdone |","| Focus | Description |\n| --- | --- |\n| F0 | baselinebroadcastspeech(clean,planned) |\n| F1 | spontaneousbroadcastspeech(clean) |\n| F2 | lowﬁdelityspeech(typicallynarrowband) |\n| F3 | speechinthepresenceofbackgroundmusic |\n| F4 | speechunderdegradedacousticalconditions |\n| F5 | non-nativespeakers(clean,planned) |\n| FX | allotherspeech(e.g.spontanousnon-native) |",0]
["| Device-directedspeech |\n| --- |\n| what’stheweatherlikeinlasvegas |\n| playpopularmusic |\n| marktheﬁrstitemdone |","| whatisscratchprogramming |\n| --- |\n| Nondevice-directedspeech |\n| oriftheywantshecanjustqueueforbetter |\n| wellthat’showwehadallthetraining |\n| talktoalexabutwe’retalkingtodannyrightnow |\n| livetogetherlikemonthsagoandtheymaystillbe<br>boring |",1]
["| Device-directedspeech |\n| --- |\n| what’stheweatherlikeinlasvegas |\n| playpopularmusic |\n| marktheﬁrstitemdone |","| F2 | lowﬁdelityspeech(typicallynarrowband) |\n| --- | --- |\n| F3 | speechinthepresenceofbackgroundmusic |\n| F4 | speechunderdegradedacousticalconditions |\n| F5 | non-nativespeakers(clean,planned) |\n| FX | allotherspeech(e.g.spontanousnon-native) |",0]
["| Method | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Orderudetal. | 3.6 | 1.8 |\n| Luetal. | 3.6 | 3.1 |","| Leungetal. | 4.5 | 2.9 |\n| --- | --- | --- |\n| Karavidesetal. | 5.0 | 2.5 |\n| VanStralenetal. | 8.4 | 5.7 |\n| Proposed | 7.2 | 3.7 |",1]
["| Method | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Orderudetal. | 3.6 | 1.8 |\n| Luetal. | 3.6 | 3.1 |","| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.79 | 0.78 |\n| 128×128,22 | 0.91 | 0.90 |\n| 64×64,32 | 0.96 | 0.80 |\n| 128×128,32 | 0.99 | 0.89 |\n| 64×64,42 | 0.61 | 0.75 |\n| 128×128,42 | 0.84 | 0.89 |\n| Average | 0.85 | 0.84 |",0]
["| Method | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Orderudetal. | 3.6 | 1.8 |","| Luetal. | 3.6 | 3.1 |\n| --- | --- | --- |\n| Leungetal. | 4.5 | 2.9 |\n| Karavidesetal. | 5.0 | 2.5 |\n| VanStralenetal. | 8.4 | 5.7 |\n| Proposed | 7.2 | 3.7 |",1]
["| Method | mean(inmm) | std(inmm) |\n| --- | --- | --- |\n| Orderudetal. | 3.6 | 1.8 |","| 128×128,22 | 0.91 | 0.90 |\n| --- | --- | --- |\n| 64×64,32 | 0.96 | 0.80 |\n| 128×128,32 | 0.99 | 0.89 |\n| 64×64,42 | 0.61 | 0.75 |\n| 128×128,42 | 0.84 | 0.89 |\n| Average | 0.85 | 0.84 |",0]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 22160 | 406 | 649 | 23.33s |\n| 13260 | 523 | 532 | 1813.63s |\n| 15432 | 365 | 690 | 1483.54s |\n| 14328 | 460 | 595 | 2125.43s |\n| 16578 | 396 | 659 | 1594.54s |\n| 16579 | 496 | 559 | 1674.43s |","| 18054 | 365 | 690 | 1918.34s |\n| --- | --- | --- | --- |\n| 21095 | 469 | 586 | 1428.32s |\n| 20658 | 584 | 471 | 2043.43s |\n| 19574 | 368 | 687 | 1485.85s |\n| 25704 | 565 | 490 | 1684.47s |\n| 29316 | 354 | 701 | 3510.26s |",1]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 22160 | 406 | 649 | 23.33s |\n| 13260 | 523 | 532 | 1813.63s |\n| 15432 | 365 | 690 | 1483.54s |\n| 14328 | 460 | 595 | 2125.43s |\n| 16578 | 396 | 659 | 1594.54s |\n| 16579 | 496 | 559 | 1674.43s |","| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 7216 | 340 | 1168 | 1.26s |\n| 4476 | 519 | 989 | 72.31s |\n| 5428 | 447 | 1061 | 63.27s |\n| 5558 | 329 | 1508 | 89.96s |\n| 5121 | 253 | 1179 | 59.97s |\n| 7501 | 470 | 1038 | 60.39s |\n| 10110 | 162 | 1346 | 72.69s |\n| 9515 | 404 | 1104 | 55.89s |\n| 8746 | 284 | 1224 | 81.74s |\n| 9133 | 301 | 1207 | 60.51s |\n| 10328 | 420 | 1088 | 72.13s |\n| 8931 | 319 | 1189 | 291.10s |",0]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 22160 | 406 | 649 | 23.33s |\n| 13260 | 523 | 532 | 1813.63s |\n| 15432 | 365 | 690 | 1483.54s |\n| 14328 | 460 | 595 | 2125.43s |\n| 16578 | 396 | 659 | 1594.54s |\n| 16579 | 496 | 559 | 1674.43s |\n| 18054 | 365 | 690 | 1918.34s |","| 21095 | 469 | 586 | 1428.32s |\n| --- | --- | --- | --- |\n| 20658 | 584 | 471 | 2043.43s |\n| 19574 | 368 | 687 | 1485.85s |\n| 25704 | 565 | 490 | 1684.47s |\n| 29316 | 354 | 701 | 3510.26s |",1]
["| OutliersReported | CorrectlyReported | OutliersMissed | ExecutionTime(s) |\n| --- | --- | --- | --- |\n| 22160 | 406 | 649 | 23.33s |\n| 13260 | 523 | 532 | 1813.63s |\n| 15432 | 365 | 690 | 1483.54s |\n| 14328 | 460 | 595 | 2125.43s |\n| 16578 | 396 | 659 | 1594.54s |\n| 16579 | 496 | 559 | 1674.43s |\n| 18054 | 365 | 690 | 1918.34s |","| 5428 | 447 | 1061 | 63.27s |\n| --- | --- | --- | --- |\n| 5558 | 329 | 1508 | 89.96s |\n| 5121 | 253 | 1179 | 59.97s |\n| 7501 | 470 | 1038 | 60.39s |\n| 10110 | 162 | 1346 | 72.69s |\n| 9515 | 404 | 1104 | 55.89s |\n| 8746 | 284 | 1224 | 81.74s |\n| 9133 | 301 | 1207 | 60.51s |\n| 10328 | 420 | 1088 | 72.13s |\n| 8931 | 319 | 1189 | 291.10s |",0]
["| Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |\n| --- | --- | --- | --- | --- |\n| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |\n| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |\n| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |\n| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |","| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| --- | --- | --- | --- | --- |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",1]
["| Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |\n| --- | --- | --- | --- | --- |\n| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |\n| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |\n| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |\n| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |","| Locations | W | C | TL | TR | BL | BR |\n| --- | --- | --- | --- | --- | --- | --- |\n| aeroplane | 65.6 | 30.2 | 0 | 0 | 2.1 | 2.1 |\n| bird | 78.1 | 21.9 | 0 | 0 | 0 | 0 |\n| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |\n| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",0]
["| Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |\n| --- | --- | --- | --- | --- |\n| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |\n| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |","| Ostrich | 0.154 | 0.231 | 0.279 | 0.319 |\n| --- | --- | --- | --- | --- |\n| Face | 0.006 | 0.061 | 0.102 | 0.135 |\n| Eagle | 0.213 | 0.318 | 0.376 | 0.417 |\n| Wolf | 0.014 | 0.103 | 0.181 | 0.215 |\n| Wall | 0.201 | 0.304 | 0.362 | 0.399 |\n| Horse | 0.078 | 0.169 | 0.214 | 0.252 |\n| Pantheon | 0.049 | 0.101 | 0.151 | 0.179 |\n| Church | 0.009 | 0.081 | 0.126 | 0.167 |",1]
["| Image | ind(P)1 | ind(P)2 | ind(P)3 | ind(P)4 |\n| --- | --- | --- | --- | --- |\n| Tiger | 0.142 | 0.217 | 0.272 | 0.317 |\n| Lake | 0.004 | 0.085 | 0.129 | 0.173 |\n| Elephant | 0.071 | 0.154 | 0.204 | 0.248 |\n| Airplane | 0.205 | 0.306 | 0.363 | 0.408 |","| boat | 45.8 | 21.6 | 0 | 0 | 12.3 | 20.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| car | 54.1 | 40.2 | 2.0 | 0 | 3.7 | 0 |\n| cat | 76.4 | 17.3 | 5.0 | 0 | 1.3 | 0 |\n| cow | 70.8 | 22.2 | 1.8 | 2.4 | 0 | 2.8 |\n| dog | 92.8 | 6.2 | 1.0 | 0 | 0 | 0 |\n| horse | 75.9 | 14.7 | 0 | 0 | 8.3 | 1.2 |\n| motorbike | 65.3 | 33.7 | 0 | 0 | 0 | 1.0 |\n| train | 56.5 | 20.0 | 0 | 2.4 | 12.8 | 8.4 |",0]
["| FreezingLayers | TotalParam. | TrainableParam. | ValLoss | ValAccuracy |\n| --- | --- | --- | --- | --- |\n| 0-164 | 22,992,167 | 17,830,439 | 0.9951 | 0.6559 |","| 0-132 | 22,992,167 | 19,519,719 | 0.9927 | 0.6670 |\n| --- | --- | --- | --- | --- |\n| 0-100 | 22,992,167 | 20,815,591 | 0.9480 | 0.6700 |\n| Nofreeze | 22,992,167 | 22,957,575 | 0.7742 | 0.7565 |",1]
["| FreezingLayers | TotalParam. | TrainableParam. | ValLoss | ValAccuracy |\n| --- | --- | --- | --- | --- |\n| 0-164 | 22,992,167 | 17,830,439 | 0.9951 | 0.6559 |","| V | H | E | Train,Val,Test | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 114 | 9k,1k,10k | 0.9744,0.9952,0.9956 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.6370,0.5003,0.4996 |\n| 100 | 128 | 82 | 135k,15k,10k | 0.9882,0.9907,0.9906 |\n| 100 | 256 | 62 | 135k,15k,10k | 0.9886,0.9965,0.9969 |\n| 1000 | 256 | 127 | 135k,15k,10k | 0.9069,0.7958,0.7971 |",0]
["| FreezingLayers | TotalParam. | TrainableParam. | ValLoss | ValAccuracy |\n| --- | --- | --- | --- | --- |\n| 0-164 | 22,992,167 | 17,830,439 | 0.9951 | 0.6559 |\n| 0-132 | 22,992,167 | 19,519,719 | 0.9927 | 0.6670 |","| 0-100 | 22,992,167 | 20,815,591 | 0.9480 | 0.6700 |\n| --- | --- | --- | --- | --- |\n| Nofreeze | 22,992,167 | 22,957,575 | 0.7742 | 0.7565 |",1]
["| FreezingLayers | TotalParam. | TrainableParam. | ValLoss | ValAccuracy |\n| --- | --- | --- | --- | --- |\n| 0-164 | 22,992,167 | 17,830,439 | 0.9951 | 0.6559 |\n| 0-132 | 22,992,167 | 19,519,719 | 0.9927 | 0.6670 |","| 100 | 128 | 82 | 135k,15k,10k | 0.9882,0.9907,0.9906 |\n| --- | --- | --- | --- | --- |\n| 100 | 256 | 62 | 135k,15k,10k | 0.9886,0.9965,0.9969 |\n| 1000 | 256 | 127 | 135k,15k,10k | 0.9069,0.7958,0.7971 |",0]
["| WithoutDebiasing | WithDebiasing |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Female | Pred0 | Pred1 | Female | Pred0 | Pred1 |\n| True0 | 4711 | 120 | True0 | 4518 | 313 |\n| True1 | 265 | 325 | True1 | 263 | 327 |","| Male | Pred0 | Pred1 | Male | Pred0 | Pred1 |\n| --- | --- | --- | --- | --- | --- |\n| True0 | 6907 | 697 | True0 | 7071 | 533 |\n| True1 | 1194 | 2062 | True1 | 1416 | 1840 |",1]
["| WithoutDebiasing | WithDebiasing |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Female | Pred0 | Pred1 | Female | Pred0 | Pred1 |\n| True0 | 4711 | 120 | True0 | 4518 | 313 |\n| True1 | 265 | 325 | True1 | 263 | 327 |","|  | Comparison1 | Comparison2 |  |  |\n| --- | --- | --- | --- | --- |\n| GroupNumber | Group1 | Group2 | Group1 | Group2 |\n| AgeRange | 4-10 | 60-80 | 11-20 | 60-80 |\n| Female | 7 | 17 | 17 | 17 |\n| Male | 5 | 7 | 19 | 7 |\n| Total | 12 | 24 | 36 | 24 |",0]
["| WithoutDebiasing | WithDebiasing |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Female | Pred0 | Pred1 | Female | Pred0 | Pred1 |\n| True0 | 4711 | 120 | True0 | 4518 | 313 |\n| True1 | 265 | 325 | True1 | 263 | 327 |","| Male | Pred0 | Pred1 | Male | Pred0 | Pred1 |\n| --- | --- | --- | --- | --- | --- |\n| True0 | 6907 | 697 | True0 | 7071 | 533 |\n| True1 | 1194 | 2062 | True1 | 1416 | 1840 |",1]
["| WithoutDebiasing | WithDebiasing |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Female | Pred0 | Pred1 | Female | Pred0 | Pred1 |\n| True0 | 4711 | 120 | True0 | 4518 | 313 |\n| True1 | 265 | 325 | True1 | 263 | 327 |","| AgeRange | 4-10 | 60-80 | 11-20 | 60-80 |\n| --- | --- | --- | --- | --- |\n| Female | 7 | 17 | 17 | 17 |\n| Male | 5 | 7 | 19 | 7 |\n| Total | 12 | 24 | 36 | 24 |",0]
["|  |  |\n| --- | --- |\n|  |  |\n|  |  |\n|  |  |\n|  |  |\n|  |  |\n| Michelleisnottheonelikedby22 | :−tuple(I,michelle),tuple(I,22). |\n| MissHansoniswithdrawingmorethanthecustomerwhosenumberis3989. | :−tuple(I,hanson),tuple(J,3989),tuple(I,X),tuple(J,Y),<br>etype(A,rank),element(A,X),element(A,Y),X>Y,I!=J. |\n| Albertisthemostpopular. | :−tuple(I,albert),tuple(J,X),highest(X),I!=J. |\n| Petetalkedaboutgovernment. | :−tuple(I,pete),tuple(J,government),I!=J. |","| Jackhasashavedmustache | :−tuple(I,jack),tuple(J,mustache),I!=J. |\n| --- | --- |\n| Jackdidnotgetahaircutat1 | :−tuple(I,jack),tuple(I,1). |\n| Thefirstopenhousewasnotlistedfor100000. | :−tuple(I,X),first(X),tuple(I,100000). |\n| ThecandidatesurnamedWaringismorepopularthanthePanGlobal | :−tuple(I,waring),tuple(J,panglobal),tuple(I,X),tuple(J,Y),<br>etype(A,time),element(A,X),element(A,Y),X<Y. |\n| Rosalynisnottheleastpopular. | :−tuple(I,rosalyn),tuple(I,X),lowest(X). |",1]
["|  |  |\n| --- | --- |\n|  |  |\n|  |  |\n|  |  |\n|  |  |\n|  |  |\n| Michelleisnottheonelikedby22 | :−tuple(I,michelle),tuple(I,22). |\n| MissHansoniswithdrawingmorethanthecustomerwhosenumberis3989. | :−tuple(I,hanson),tuple(J,3989),tuple(I,X),tuple(J,Y),<br>etype(A,rank),element(A,X),element(A,Y),X>Y,I!=J. |\n| Albertisthemostpopular. | :−tuple(I,albert),tuple(J,X),highest(X),I!=J. |\n| Petetalkedaboutgovernment. | :−tuple(I,pete),tuple(J,government),I!=J. |","| FamilyName | Size | FamilyName | Size |\n| --- | --- | --- | --- |\n| ABU,Banload | 16 | Hupigon,AWQ | 219 |\n| Agent,Agent | 42 | IRCBot,Sdbot | 66 |\n| Agent,Small | 15 | LdPinch,LdPinch | 16 |\n| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |\n| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",0]
["|  |  |\n| --- | --- |\n|  |  |\n|  |  |\n|  |  |\n|  |  |\n|  |  |","| Michelleisnottheonelikedby22 | :−tuple(I,michelle),tuple(I,22). |\n| --- | --- |\n| MissHansoniswithdrawingmorethanthecustomerwhosenumberis3989. | :−tuple(I,hanson),tuple(J,3989),tuple(I,X),tuple(J,Y),<br>etype(A,rank),element(A,X),element(A,Y),X>Y,I!=J. |\n| Albertisthemostpopular. | :−tuple(I,albert),tuple(J,X),highest(X),I!=J. |\n| Petetalkedaboutgovernment. | :−tuple(I,pete),tuple(J,government),I!=J. |\n| Jackhasashavedmustache | :−tuple(I,jack),tuple(J,mustache),I!=J. |\n| Jackdidnotgetahaircutat1 | :−tuple(I,jack),tuple(I,1). |\n| Thefirstopenhousewasnotlistedfor100000. | :−tuple(I,X),first(X),tuple(I,100000). |\n| ThecandidatesurnamedWaringismorepopularthanthePanGlobal | :−tuple(I,waring),tuple(J,panglobal),tuple(I,X),tuple(J,Y),<br>etype(A,time),element(A,X),element(A,Y),X<Y. |\n| Rosalynisnottheleastpopular. | :−tuple(I,rosalyn),tuple(I,X),lowest(X). |",1]
["|  |  |\n| --- | --- |\n|  |  |\n|  |  |\n|  |  |\n|  |  |\n|  |  |","| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| --- | --- | --- | --- |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |\n| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",0]
["| City | Users | Venues | Check-ins |\n| --- | --- | --- | --- |\n| Atlanta | 28,275 | 18,270 | 368,608 |\n| Boston | 23,579 | 13,243 | 296,150 |\n| Chicago | 42,791 | 33,261 | 715,652 |","| Minneapolis | 13,396 | 12,696 | 235,793 |\n| --- | --- | --- | --- |\n| Seattle | 16,205 | 15,051 | 260,023 |",1]
["| City | Users | Venues | Check-ins |\n| --- | --- | --- | --- |\n| Atlanta | 28,275 | 18,270 | 368,608 |\n| Boston | 23,579 | 13,243 | 296,150 |\n| Chicago | 42,791 | 33,261 | 715,652 |","| City | N | K | NGC | C | Cr | d | dr | Q | Qr |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Atlanta | 13,011 | 46,756 | 11,476 | 0.16 | 0.0006 | 4.6 | 4.6 | 0.53 | 0.17 |\n| Boston | 10,478 | 41,505 | 8,816 | 0.17 | 0.0010 | 4.3 | 4.0 | 0.45 | 0.15 |\n| Chicago | 19,931 | 84,778 | 17,287 | 0.16 | 0.0004 | 4.6 | 4.9 | 0.47 | 0.14 |\n| Minneapolis | 6,499 | 30,640 | 5,914 | 0.18 | 0.0016 | 4.4 | 4.2 | 0.41 | 0.12 |\n| Seattle | 7,445 | 28,466 | 6,392 | 0.18 | 0.0008 | 4.4 | 4.6 | 0.46 | 0.16 |",0]
["| City | Users | Venues | Check-ins |\n| --- | --- | --- | --- |\n| Atlanta | 28,275 | 18,270 | 368,608 |\n| Boston | 23,579 | 13,243 | 296,150 |\n| Chicago | 42,791 | 33,261 | 715,652 |","| Minneapolis | 13,396 | 12,696 | 235,793 |\n| --- | --- | --- | --- |\n| Seattle | 16,205 | 15,051 | 260,023 |",1]
["| City | Users | Venues | Check-ins |\n| --- | --- | --- | --- |\n| Atlanta | 28,275 | 18,270 | 368,608 |\n| Boston | 23,579 | 13,243 | 296,150 |\n| Chicago | 42,791 | 33,261 | 715,652 |","| Minneapolis | 6,499 | 30,640 | 5,914 | 0.18 | 0.0016 | 4.4 | 4.2 | 0.41 | 0.12 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Seattle | 7,445 | 28,466 | 6,392 | 0.18 | 0.0008 | 4.4 | 4.6 | 0.46 | 0.16 |",0]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| PCA+logisticregression | 0.875 | 0.805 | 0.545 | 0.609 | 0.816 |\n| Non-transfer(L=1) | 0.725 | 0.983 | 0.755 | 0.829 | 0.878 |\n| Non-transfer(L=2) | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(L=3) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |","| Non-transfer(L=4) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| --- | --- | --- | --- | --- | --- |\n| SSL(L=1) | 0.682 | 1 | 0.736 | 0.811 | 0.857 |\n| SSL(L=2) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| SSL(L=3) | 0.592 | 0.980 | 0.620 | 0.734 | 0.786 |\n| SSL(L=4) | 0.558 | 0.978 | 0.580 | 0.707 | 0.755 |\n| Oquabetal.(L=1) | 0.732 | 1 | 0.783 | 0.845 | 0.888 |\n| Oquabetal.(L=2) | 0.771 | 0.952 | 0.753 | 0.831 | 0.888 |\n| Oquabetal.(L=3) | 0.702 | 0.934 | 0.670 | 0.776 | 0.847 |\n| Oquabetal.(L=4) | 0.658 | 0.947 | 0.648 | 0.761 | 0.827 |\n| Agrawaletal.(L=1) | 0.750 | 1 | 0.800 | 0.857 | 0.898 |\n| Agrawaletal.(L=2) | 0.744 | 0.983 | 0.796 | 0.841 | 0.888 |\n| Agrawaletal.(L=3) | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| Agrawaletal.(L=4) | 0.667 | 1 | 0.720 | 0.8 | 0.847 |\n| ATDL(L=1) | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| ATDL(L=2) | 0.871 | 0.955 | 0.834 | 0.885 | 0.929 |\n| ATDL(L=3) | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| ATDL(L=4) | 0.958 | 0.905 | 0.806 | 0.852 | 0.918 |",1]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| PCA+logisticregression | 0.875 | 0.805 | 0.545 | 0.609 | 0.816 |\n| Non-transfer(L=1) | 0.725 | 0.983 | 0.755 | 0.829 | 0.878 |\n| Non-transfer(L=2) | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(L=3) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |","|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| Non-transfer(D=188)i | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| Non-transfer(D=500)i | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| Non-transfer(D=1,000)i | 0.7 | 0.966 | 0.709 | 0.8 | 0.857 |\n| CIFAR-10(D=188)i | 0.657 | 0.889 | 0.568 | 0.708 | 0.806 |\n| CIFAR-10(D=500)i | 0.923 | 0.912 | 0.804 | 0.857 | 0.918 |\n| CIFAR-10(D=1,000)i | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| MNIST(D=188)i | 0.778 | 0.968 | 0.780 | 0.849 | 0.898 |\n| MNIST(D=500)i | 0.839 | 0.940 | 0.786 | 0.852 | 0.908 |\n| MNIST(D=1,000)i | 0.828 | 0.913 | 0.735 | 0.813 | 0.888 |\n| 2-DEimage(D=188)i | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| 2-DEimage(D=500)i | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| 2-DEimage(D=1,000)i | 0.824 | 0.969 | 0.818 | 0.875 | 0.918 |",0]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| PCA+logisticregression | 0.875 | 0.805 | 0.545 | 0.609 | 0.816 |\n| Non-transfer(L=1) | 0.725 | 0.983 | 0.755 | 0.829 | 0.878 |","| Non-transfer(L=2) | 0.718 | 0.967 | 0.726 | 0.811 | 0.867 |\n| --- | --- | --- | --- | --- | --- |\n| Non-transfer(L=3) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| Non-transfer(L=4) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| SSL(L=1) | 0.682 | 1 | 0.736 | 0.811 | 0.857 |\n| SSL(L=2) | 0.644 | 0.981 | 0.676 | 0.773 | 0.827 |\n| SSL(L=3) | 0.592 | 0.980 | 0.620 | 0.734 | 0.786 |\n| SSL(L=4) | 0.558 | 0.978 | 0.580 | 0.707 | 0.755 |\n| Oquabetal.(L=1) | 0.732 | 1 | 0.783 | 0.845 | 0.888 |\n| Oquabetal.(L=2) | 0.771 | 0.952 | 0.753 | 0.831 | 0.888 |\n| Oquabetal.(L=3) | 0.702 | 0.934 | 0.670 | 0.776 | 0.847 |\n| Oquabetal.(L=4) | 0.658 | 0.947 | 0.648 | 0.761 | 0.827 |\n| Agrawaletal.(L=1) | 0.750 | 1 | 0.800 | 0.857 | 0.898 |\n| Agrawaletal.(L=2) | 0.744 | 0.983 | 0.796 | 0.841 | 0.888 |\n| Agrawaletal.(L=3) | 0.690 | 0.982 | 0.722 | 0.806 | 0.857 |\n| Agrawaletal.(L=4) | 0.667 | 1 | 0.720 | 0.8 | 0.847 |\n| ATDL(L=1) | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| ATDL(L=2) | 0.871 | 0.955 | 0.834 | 0.885 | 0.929 |\n| ATDL(L=3) | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| ATDL(L=4) | 0.958 | 0.905 | 0.806 | 0.852 | 0.918 |",1]
["|  | PPV | NPV | MCC | F1 | ACC |\n| --- | --- | --- | --- | --- | --- |\n| PCA+logisticregression | 0.875 | 0.805 | 0.545 | 0.609 | 0.816 |\n| Non-transfer(L=1) | 0.725 | 0.983 | 0.755 | 0.829 | 0.878 |","| MNIST(D=1,000)i | 0.828 | 0.913 | 0.735 | 0.813 | 0.888 |\n| --- | --- | --- | --- | --- | --- |\n| 2-DEimage(D=188)i | 0.875 | 0.970 | 0.859 | 0.903 | 0.939 |\n| 2-DEimage(D=500)i | 0.844 | 0.955 | 0.812 | 0.871 | 0.918 |\n| 2-DEimage(D=1,000)i | 0.824 | 0.969 | 0.818 | 0.875 | 0.918 |",0]
["| λ | Sims<br>(LCFS) | Diﬀ<br>Equations<br>(LCFS) | JIQ-<br>Random<br>(FCFS) |\n| --- | --- | --- | --- |\n| 0.50 | 1.10976 | 1.10980 | 1.12886 |\n| 0.60 | 1.15732 | 1.15379 | 1.17987 |\n| 0.70 | 1.23305 | 1.23310 | 1.25888 |\n| 0.80 | 1.37805 | 1.37796 | 1.40787 |\n| 0.90 | 1.79941 | 1.79893 | 1.83712 |\n| 0.95 | 2.63751 | 2.63559 | 2.68138 |\n| 0.96 | 3.05663 | 3.05429 | 3.10314 |\n| 0.97 | 3.75659 | 3.75259 | 3.80509 |","| 0.98 | 5.15449 | 5.15006 | 5.20555 |\n| --- | --- | --- | --- |\n| 0.99 | 9.35407 | 9.34465 | 9.40217 |",1]
["| λ | Sims<br>(LCFS) | Diﬀ<br>Equations<br>(LCFS) | JIQ-<br>Random<br>(FCFS) |\n| --- | --- | --- | --- |\n| 0.50 | 1.10976 | 1.10980 | 1.12886 |\n| 0.60 | 1.15732 | 1.15379 | 1.17987 |\n| 0.70 | 1.23305 | 1.23310 | 1.25888 |\n| 0.80 | 1.37805 | 1.37796 | 1.40787 |\n| 0.90 | 1.79941 | 1.79893 | 1.83712 |\n| 0.95 | 2.63751 | 2.63559 | 2.68138 |\n| 0.96 | 3.05663 | 3.05429 | 3.10314 |\n| 0.97 | 3.75659 | 3.75259 | 3.80509 |","| λ | Sims<br>JIQ-SQ(2) | Diﬀ<br>Equations | JIQ-<br>Random |\n| --- | --- | --- | --- |\n| 0.50 | 1.01029 | 1.01033 | 1.12886 |\n| 0.60 | 1.02377 | 1.02379 | 1.17987 |\n| 0.70 | 1.05558 | 1.05557 | 1.25888 |\n| 0.80 | 1.14044 | 1.14027 | 1.40787 |\n| 0.90 | 1.46106 | 1.46035 | 1.83712 |\n| 0.95 | 2.19241 | 2.19045 | 2.68138 |\n| 0.96 | 2.57696 | 2.57420 | 3.10314 |\n| 0.97 | 3.23186 | 3.22894 | 3.80509 |\n| 0.98 | 4.57810 | 4.57186 | 5.20555 |\n| 0.99 | 8.71553 | 8.70009 | 9.40217 |",0]
["| λ | Sims<br>(LCFS) | Diﬀ<br>Equations<br>(LCFS) | JIQ-<br>Random<br>(FCFS) |\n| --- | --- | --- | --- |\n| 0.50 | 1.10976 | 1.10980 | 1.12886 |\n| 0.60 | 1.15732 | 1.15379 | 1.17987 |","| 0.70 | 1.23305 | 1.23310 | 1.25888 |\n| --- | --- | --- | --- |\n| 0.80 | 1.37805 | 1.37796 | 1.40787 |\n| 0.90 | 1.79941 | 1.79893 | 1.83712 |\n| 0.95 | 2.63751 | 2.63559 | 2.68138 |\n| 0.96 | 3.05663 | 3.05429 | 3.10314 |\n| 0.97 | 3.75659 | 3.75259 | 3.80509 |\n| 0.98 | 5.15449 | 5.15006 | 5.20555 |\n| 0.99 | 9.35407 | 9.34465 | 9.40217 |",1]
["| λ | Sims<br>(LCFS) | Diﬀ<br>Equations<br>(LCFS) | JIQ-<br>Random<br>(FCFS) |\n| --- | --- | --- | --- |\n| 0.50 | 1.10976 | 1.10980 | 1.12886 |\n| 0.60 | 1.15732 | 1.15379 | 1.17987 |","| 0.70 | 1.05558 | 1.05557 | 1.25888 |\n| --- | --- | --- | --- |\n| 0.80 | 1.14044 | 1.14027 | 1.40787 |\n| 0.90 | 1.46106 | 1.46035 | 1.83712 |\n| 0.95 | 2.19241 | 2.19045 | 2.68138 |\n| 0.96 | 2.57696 | 2.57420 | 3.10314 |\n| 0.97 | 3.23186 | 3.22894 | 3.80509 |\n| 0.98 | 4.57810 | 4.57186 | 5.20555 |\n| 0.99 | 8.71553 | 8.70009 | 9.40217 |",0]
["| Approach | Input | Actions | Evaluations | SuccessRate |\n| --- | --- | --- | --- | --- |\n| Singhetal. | Silhouette | 14 | LOSO | 82.4 |\n| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |","| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |\n| --- | --- | --- | --- | --- |\n| Proposed | Silhouette | 10 | NoTraining | 93.75 |",1]
["| Approach | Input | Actions | Evaluations | SuccessRate |\n| --- | --- | --- | --- | --- |\n| Singhetal. | Silhouette | 14 | LOSO | 82.4 |\n| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |","| Approach | Input | Actions | Evaluations | Rate |\n| --- | --- | --- | --- | --- |\n| IkizlerandDuyugulu | Silhouette | 9 | LOSO | 100 |\n| TranandSorokin | Silhouette | 10 | LOSO | 100 |\n| Eweiwietal. | Silhouette | 10 | LOSO | 100 |\n| Harnandezetal. | Images | 10 | LASO | 90.3 |\n| Cheemaetal. | Silhouette | 9 | LOSO | 91.6 |\n| Chaaraouietal. | Silhouette | 9 | LOSO | 92.8 |\n| Proposed | Silhouette | 9 | NoTraining | 95.06 |",0]
["| Approach | Input | Actions | Evaluations | SuccessRate |\n| --- | --- | --- | --- | --- |\n| Singhetal. | Silhouette | 14 | LOSO | 82.4 |\n| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |","| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |\n| --- | --- | --- | --- | --- |\n| Proposed | Silhouette | 10 | NoTraining | 93.75 |",1]
["| Approach | Input | Actions | Evaluations | SuccessRate |\n| --- | --- | --- | --- | --- |\n| Singhetal. | Silhouette | 14 | LOSO | 82.4 |\n| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |\n| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |","| TranandSorokin | Silhouette | 10 | LOSO | 100 |\n| --- | --- | --- | --- | --- |\n| Eweiwietal. | Silhouette | 10 | LOSO | 100 |\n| Harnandezetal. | Images | 10 | LASO | 90.3 |\n| Cheemaetal. | Silhouette | 9 | LOSO | 91.6 |\n| Chaaraouietal. | Silhouette | 9 | LOSO | 92.8 |\n| Proposed | Silhouette | 9 | NoTraining | 95.06 |",0]
["| l | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 4.7 | 51 | 110 | 340 | - | - | - | - |\n| DL | 0.11 | 6.4 | 44 | 210 | - | - | - | - |\n| BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |\n| HBC | 110 | - | - | - | - | - | - | - |\n| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |\n| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |\n| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |\n| \\|F\\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| \\|F\\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |","| \\|dual(F)\\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \\|S\\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 |",1]
["| l | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 4.7 | 51 | 110 | 340 | - | - | - | - |\n| DL | 0.11 | 6.4 | 44 | 210 | - | - | - | - |\n| BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |\n| HBC | 110 | - | - | - | - | - | - | - |\n| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |\n| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |\n| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |\n| \\|F\\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| \\|F\\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |","| ac | 200 | 150 | 130 | 110 | 90 | 70 | 50 | 30 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 0.54 | 3.2 | 8.7 | 22 | 87 | 430 | - | - |\n| DL | 0.004 | 0.042 | 0.28 | 0.98 | 4.8 | 31 | 270 | - |\n| BMR | 0.008 | 0.041 | 0.074 | 0.17 | 2.3 | 5.7 | 21 | 140 |\n| HBC | 0.004 | 0.018 | 0.064 | 0.16 | 0.95 | 3.4 | 19 | 170 |\n| KS | fail | fail | fail | fail | fail | fail | fail | fail |\n| RS | 0.001 | 0.011 | 0.02 | 0.052 | 0.26 | 0.78 | 3.3 | 32 |\n| DFS | 0.002 | 0.013 | 0.034 | 0.05 | 0.23 | 0.76 | 3.2 | 28 |\n| cRS | 0 | 0.007 | 0.027 | 0.05 | 0.23 | 1.4 | 12 | 230 |\n| cDFS | 0.001 | 0.005 | 0.019 | 0.051 | 0.18 | 0.95 | 8.4 | 170 |\n| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| l | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 4.7 | 51 | 110 | 340 | - | - | - | - |","| DL | 0.11 | 6.4 | 44 | 210 | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BMR | 0.047 | 2.2 | 5.1 | 16 | 130 | - | - | - |\n| HBC | 110 | - | - | - | - | - | - | - |\n| KS | 0.057 | 2.6 | 4.6 | 20 | 97 | - | - | - |\n| RS | 0.009 | 0.052 | 0.14 | 0.41 | 1.6 | 15 | 98 | 420 |\n| DFS | 0.006 | 0.044 | 0.09 | 0.28 | 0.94 | 12 | 40 | 180 |\n| \\|F\\| | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| \\|F\\| | 8 | 8 | 8 | 8 | 8 | 8 | 8 | 8 |\n| \\|dual(F)\\| | 2341 | 22760 | 33087 | 79632 | 212761 | 2396735 | 4707877 | 16405082 |\n| \\|S\\| | 11.19 | 12.43 | 13.59 | 14.62 | 15.73 | 17.06 | 17.41 | 19.09 |",1]
["| l | 100 | 200 | 400 | 800 | 1600 | 3200 | 6400 | 12800 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BEGK | 4.7 | 51 | 110 | 340 | - | - | - | - |","| \\|F\\| | 81 | 447 | 990 | 2000 | 4322 | 10968 | 32207 | 135439 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| \\|F\\| | 57.48 | 56.34 | 72.85 | 72.23 | 326.66 | 326.08 | 325.31 | 430.39 |\n| \\|dual(F)\\| | 253 | 1039 | 1916 | 3547 | 7617 | 17486 | 47137 | 185218 |\n| \\|S\\| | 2.57 | 3.77 | 4.25 | 4.73 | 5.09 | 5.70 | 6.46 | 7.32 |",0]
["| Datasets | Market-1501 | RAiD | CUHK03 | VIPeR | i-LIDS | CUHK01 | CUHK02 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| #identities | 1,501 | 43 | 1,360 | 632 | 119 | 971 | 1,816 |","| #BBoxes | 32,643 | 6920 | 13,164 | 1,264 | 476 | 1,942 | 7,264 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| #distractors | 2,793 | 0 | 0 | 0 | 0 | 0 | 0 |\n| #cam.perID | 6 | 4 | 2 | 2 | 2 | 2 | 2 |\n| DPMorHand | DPM | hand | DPM | hand | hand | hand | hand |\n| Evaluation | mAP | CMC | CMC | CMC | CMC | CMC | CMC |",1]
["| Datasets | Market-1501 | RAiD | CUHK03 | VIPeR | i-LIDS | CUHK01 | CUHK02 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| #identities | 1,501 | 43 | 1,360 | 632 | 119 | 971 | 1,816 |","|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |\n| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["| Datasets | Market-1501 | RAiD | CUHK03 | VIPeR | i-LIDS | CUHK01 | CUHK02 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| #identities | 1,501 | 43 | 1,360 | 632 | 119 | 971 | 1,816 |\n| #BBoxes | 32,643 | 6920 | 13,164 | 1,264 | 476 | 1,942 | 7,264 |","| #distractors | 2,793 | 0 | 0 | 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| #cam.perID | 6 | 4 | 2 | 2 | 2 | 2 | 2 |\n| DPMorHand | DPM | hand | DPM | hand | hand | hand | hand |\n| Evaluation | mAP | CMC | CMC | CMC | CMC | CMC | CMC |",1]
["| Datasets | Market-1501 | RAiD | CUHK03 | VIPeR | i-LIDS | CUHK01 | CUHK02 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| #identities | 1,501 | 43 | 1,360 | 632 | 119 | 971 | 1,816 |\n| #BBoxes | 32,643 | 6920 | 13,164 | 1,264 | 476 | 1,942 | 7,264 |","|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Datasets | Algorithms |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Patterns | Dimensions | Classes | N | APR | MARWa=3 | MARWa=4 | LD-ABCD |\n| Wine(40) | 178 | 13 | 3 | 82.31 | 86.80 | 88.02 | 91.76 | 100.0±0.000 |\n| BreastCancer(160) | 683 | 9 | 2 | 93.26 | 94.66 | 94.37 | 96.02 | 100.0±0.000 |","| Iris(40) | 150 | 4 | 3 | - | - | - | - | 76.00±0.120 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| E-Coli(50) | 336 | 8 | 8 | - | - | - | - | 91.00±0.231 |",1]
["| Datasets | Algorithms |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Patterns | Dimensions | Classes | N | APR | MARWa=3 | MARWa=4 | LD-ABCD |\n| Wine(40) | 178 | 13 | 3 | 82.31 | 86.80 | 88.02 | 91.76 | 100.0±0.000 |\n| BreastCancer(160) | 683 | 9 | 2 | 93.26 | 94.66 | 94.37 | 96.02 | 100.0±0.000 |","| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Datasets | Algorithms |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Patterns | Dimensions | Classes | N | APR | MARWa=3 | MARWa=4 | LD-ABCD |\n| Wine(40) | 178 | 13 | 3 | 82.31 | 86.80 | 88.02 | 91.76 | 100.0±0.000 |","| BreastCancer(160) | 683 | 9 | 2 | 93.26 | 94.66 | 94.37 | 96.02 | 100.0±0.000 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Iris(40) | 150 | 4 | 3 | - | - | - | - | 76.00±0.120 |\n| E-Coli(50) | 336 | 8 | 8 | - | - | - | - | 91.00±0.231 |",1]
["| Datasets | Algorithms |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Patterns | Dimensions | Classes | N | APR | MARWa=3 | MARWa=4 | LD-ABCD |\n| Wine(40) | 178 | 13 | 3 | 82.31 | 86.80 | 88.02 | 91.76 | 100.0±0.000 |","| Thyroid | 215 | 3 | 5 |\n| --- | --- | --- | --- |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.2221.341<br>13.23213.492<br>131.266144.100<br>1.0161.113<br>4.4014.745<br>17.53718.405 | 0.2924.21.200<br>2.5855.18.442<br>24.6985.341.073<br>0.2683.81.126<br>0.7755.73.890<br>3.2495.48.504 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2341.331<br>11.86112.945<br>119.297129.859<br>1.0271.105<br>4.4074.197<br>15.82417.178 | 0.2554.81.481<br>2.4544.89.870<br>22.1495.487.425<br>0.2274.51.045<br>0.8375.34.592<br>2.7045.913.898 |","| 10000000<br>100000000<br>1000000000<br>Buckets8388607<br>33554431<br>134217727 | 1.1311.229<br>12.35012.771<br>122.627135.454<br>0.9271.010<br>4.1094.493<br>16.42917.091 | 0.2135.31.386<br>1.7776.910.155<br>18.9046.592.137<br>0.1715.41.104<br>0.6216.64.041<br>1.9608.412.782 |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1411.287<br>12.15012.460<br>115.845131.236<br>0.9631.126<br>4.1114.512<br>16.21716.838 | 0.2474.60.840<br>1.5747.710.318<br>19.6725.978.962<br>0.3223.00.934<br>0.5697.22.774<br>2.2307.312.705 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.2221.341<br>13.23213.492<br>131.266144.100<br>1.0161.113<br>4.4014.745<br>17.53718.405 | 0.2924.21.200<br>2.5855.18.442<br>24.6985.341.073<br>0.2683.81.126<br>0.7755.73.890<br>3.2495.48.504 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2341.331<br>11.86112.945<br>119.297129.859<br>1.0271.105<br>4.4074.197<br>15.82417.178 | 0.2554.81.481<br>2.4544.89.870<br>22.1495.487.425<br>0.2274.51.045<br>0.8375.34.592<br>2.7045.913.898 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.4791.620<br>13.31913.742<br>107.080117.963<br>1.4471.580<br>4.8635.265<br>15.88816.617 | 0.3883.81.818<br>2.8914.613.607<br>20.2875.350.679<br>0.7741.91.772<br>0.9035.45.690<br>3.1035.112.115 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2521.354<br>11.92312.971<br>119.464130.255<br>1.0291.112<br>4.4084.236<br>15.88817.263 | 0.2754.61.621<br>2.5164.714.972<br>22.2885.4106.658<br>0.2474.21.353<br>0.8705.15.492<br>2.7715.719.774 |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 1.1311.233<br>12.37312.801<br>122.822135.833<br>0.9691.057<br>4.1114.505<br>16.48417.154 | 0.2414.71.517<br>1.8186.815.136<br>19.2146.4121.967<br>0.1865.21.244<br>0.6626.24.774<br>2.0388.117.203 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1511.301<br>12.18112.498<br>116.734131.596<br>0.9711.140<br>4.1164.527<br>16.28116.941 | 0.2794.11.509<br>1.6187.514.449<br>20.0675.8100.270<br>0.3392.91.330<br>0.6236.65.042<br>2.2997.117.563 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.2221.341<br>13.23213.492<br>131.266144.100<br>1.0161.113<br>4.4014.745<br>17.53718.405 | 0.2924.21.200<br>2.5855.18.442<br>24.6985.341.073<br>0.2683.81.126<br>0.7755.73.890<br>3.2495.48.504 |","| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2341.331<br>11.86112.945<br>119.297129.859<br>1.0271.105<br>4.4074.197<br>15.82417.178 | 0.2554.81.481<br>2.4544.89.870<br>22.1495.487.425<br>0.2274.51.045<br>0.8375.34.592<br>2.7045.913.898 |\n| --- | --- | --- |\n| 10000000<br>100000000<br>1000000000<br>Buckets8388607<br>33554431<br>134217727 | 1.1311.229<br>12.35012.771<br>122.627135.454<br>0.9271.010<br>4.1094.493<br>16.42917.091 | 0.2135.31.386<br>1.7776.910.155<br>18.9046.592.137<br>0.1715.41.104<br>0.6216.64.041<br>1.9608.412.782 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1411.287<br>12.15012.460<br>115.845131.236<br>0.9631.126<br>4.1114.512<br>16.21716.838 | 0.2474.60.840<br>1.5747.710.318<br>19.6725.978.962<br>0.3223.00.934<br>0.5697.22.774<br>2.2307.312.705 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.2221.341<br>13.23213.492<br>131.266144.100<br>1.0161.113<br>4.4014.745<br>17.53718.405 | 0.2924.21.200<br>2.5855.18.442<br>24.6985.341.073<br>0.2683.81.126<br>0.7755.73.890<br>3.2495.48.504 |","| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2521.354<br>11.92312.971<br>119.464130.255<br>1.0291.112<br>4.4084.236<br>15.88817.263 | 0.2754.61.621<br>2.5164.714.972<br>22.2885.4106.658<br>0.2474.21.353<br>0.8705.15.492<br>2.7715.719.774 |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 1.1311.233<br>12.37312.801<br>122.822135.833<br>0.9691.057<br>4.1114.505<br>16.48417.154 | 0.2414.71.517<br>1.8186.815.136<br>19.2146.4121.967<br>0.1865.21.244<br>0.6626.24.774<br>2.0388.117.203 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1511.301<br>12.18112.498<br>116.734131.596<br>0.9711.140<br>4.1164.527<br>16.28116.941 | 0.2794.11.509<br>1.6187.514.449<br>20.0675.8100.270<br>0.3392.91.330<br>0.6236.65.042<br>2.2997.117.563 |",0]
["|  | Algorithm?? | Algorithm?? |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 |\n| 10 | 0.003 | 0.010 | 0.029 | 0.066 | 0.005 | 0.020 | 0.057 | 0.125 |\n| 20 | 0.018 | 0.181 | 0.740 | 1.989 | 0.036 | 0.347 | 1.255 | 3.021 |\n| 30 | 0.065 | 1.150 | 5.134 | 14.80 | 0.136 | 2.023 | 7.769 | 19.88 |\n| 40 | 0.186 | 4.415 | 21.10 | 61.85 | 0.384 | 7.116 | 29.03 | 78.39 |\n| 50 | 0.442 | 12.69 | 63.28 | 190.6 | 0.891 | 19.29 | 81.76 | 227.8 |","| 60 | 0.941 | 30.45 | 155.8 | 478.7 | 1.864 | 43.95 | 193.2 | 552.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 70 | 1.803 | 63.69 | 338.6 | 1054 | 3.452 | 88.57 | 403.8 | 1177 |",1]
["|  | Algorithm?? | Algorithm?? |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 |\n| 10 | 0.003 | 0.010 | 0.029 | 0.066 | 0.005 | 0.020 | 0.057 | 0.125 |\n| 20 | 0.018 | 0.181 | 0.740 | 1.989 | 0.036 | 0.347 | 1.255 | 3.021 |\n| 30 | 0.065 | 1.150 | 5.134 | 14.80 | 0.136 | 2.023 | 7.769 | 19.88 |\n| 40 | 0.186 | 4.415 | 21.10 | 61.85 | 0.384 | 7.116 | 29.03 | 78.39 |\n| 50 | 0.442 | 12.69 | 63.28 | 190.6 | 0.891 | 19.29 | 81.76 | 227.8 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["|  | Algorithm?? | Algorithm?? |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 |\n| 10 | 0.003 | 0.010 | 0.029 | 0.066 | 0.005 | 0.020 | 0.057 | 0.125 |\n| 20 | 0.018 | 0.181 | 0.740 | 1.989 | 0.036 | 0.347 | 1.255 | 3.021 |","| 30 | 0.065 | 1.150 | 5.134 | 14.80 | 0.136 | 2.023 | 7.769 | 19.88 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 40 | 0.186 | 4.415 | 21.10 | 61.85 | 0.384 | 7.116 | 29.03 | 78.39 |\n| 50 | 0.442 | 12.69 | 63.28 | 190.6 | 0.891 | 19.29 | 81.76 | 227.8 |\n| 60 | 0.941 | 30.45 | 155.8 | 478.7 | 1.864 | 43.95 | 193.2 | 552.9 |\n| 70 | 1.803 | 63.69 | 338.6 | 1054 | 3.452 | 88.57 | 403.8 | 1177 |",1]
["|  | Algorithm?? | Algorithm?? |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 | ρ=0.1 | ρ=0.4 | ρ=0.7 | ρ=1.0 |\n| 10 | 0.003 | 0.010 | 0.029 | 0.066 | 0.005 | 0.020 | 0.057 | 0.125 |\n| 20 | 0.018 | 0.181 | 0.740 | 1.989 | 0.036 | 0.347 | 1.255 | 3.021 |","| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |\n|  |  |  |\n|  |  |  |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n|  |  |  |",0]
["| SVV:v(0)...v(12)ff |\n| --- |\n| 0000000111111 |\n| 0000001111111 |\n| 0010000111011 |\n| 0010001111011 |\n| 1000100101110 |\n| 1000101101110 |\n| 1010100101010 |\n| 1010101101010 |","| 0101010010101 |\n| --- |\n| 0101011010101 |\n| 0111010010001 |\n| 0111011010001 |\n| 1101110000100 |\n| 1101111000100 |\n| 1111110000000 |",1]
["| SVV:v(0)...v(12)ff |\n| --- |\n| 0000000111111 |\n| 0000001111111 |\n| 0010000111011 |\n| 0010001111011 |\n| 1000100101110 |\n| 1000101101110 |\n| 1010100101010 |\n| 1010101101010 |","| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |\n| --- | --- |\n| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |\n| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |\n| ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |\n| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |\n| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 |",0]
["| SVV:v(0)...v(12)ff |\n| --- |\n| 0000000111111 |\n| 0000001111111 |\n| 0010000111011 |\n| 0010001111011 |\n| 1000100101110 |\n| 1000101101110 |\n| 1010100101010 |","| 1010101101010 |\n| --- |\n| 0101010010101 |\n| 0101011010101 |\n| 0111010010001 |\n| 0111011010001 |\n| 1101110000100 |\n| 1101111000100 |\n| 1111110000000 |",1]
["| SVV:v(0)...v(12)ff |\n| --- |\n| 0000000111111 |\n| 0000001111111 |\n| 0010000111011 |\n| 0010001111011 |\n| 1000100101110 |\n| 1000101101110 |\n| 1010100101010 |","| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |\n| --- | --- |\n| ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |\n| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |\n| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 |",0]
["| Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |","| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |\n| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 |",1]
["| Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |","| DatasetName | #Model | #Scene |\n| --- | --- | --- |\n| RandomViews | 6 | 36 |\n| LaserScanner | 5 | 10 |\n| LIDAR | 5 | 10 |\n| Retrieval | 6 | 18 |",0]
["| Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |\n| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |","| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 |",1]
["| Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |\n| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |","| LIDAR | 5 | 10 |\n| --- | --- | --- |\n| Retrieval | 6 | 18 |",0]
["| Fine-tunelevel | F16⊕F19FeatureVector | F19FeatureVector | F22FeatureVector |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MeanLength | Mean | Length | Mean | Length |  |  |\n| F19=2048<br>F19=4096 | 64.46<br>70.71 | 6144<br>8192 | 65.34<br>70.79 | 2048<br>4096 | 63.83<br>70.58 | 1000<br>1000 |","| F19=8192<br>F19=6144<br>F19=5120 | 70.00<br>72.30<br>70.21 | 12288<br>10240<br>9216 | 70.16<br>72.22<br>69.95 | 8192<br>6144<br>5120 | 67.98<br>72.30<br>68.19 | 1000<br>1000<br>1000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| F19=7168 | 69.29 | 11264 | 69.16 | 71.68 | 70.42 | 1000 |",1]
["| Fine-tunelevel | F16⊕F19FeatureVector | F19FeatureVector | F22FeatureVector |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| MeanLength | Mean | Length | Mean | Length |  |  |\n| F19=2048<br>F19=4096 | 64.46<br>70.71 | 6144<br>8192 | 65.34<br>70.79 | 2048<br>4096 | 63.83<br>70.58 | 1000<br>1000 |","| FineTuningLevel | F16⊕F19featureaccuracy | F22featureaccuracy |\n| --- | --- | --- |\n| F22=9<br>F22=500 | 65.46<br>69.36 | 66.01<br>62.56 |\n| F22=1000 | 69.36 | 62.56 |\n| F22=2000 | 60.34 | 58.79 |\n| †<br>F22=1000 | 72.20 | 58.52 |",0]
["| Fine-tunelevel | F16⊕F19FeatureVector | F19FeatureVector | F22FeatureVector |  |\n| --- | --- | --- | --- | --- |\n| MeanLength | Mean | Length | Mean | Length |","| F19=2048<br>F19=4096 | 64.46<br>70.71 | 6144<br>8192 | 65.34<br>70.79 | 2048<br>4096 | 63.83<br>70.58 | 1000<br>1000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| F19=8192<br>F19=6144<br>F19=5120 | 70.00<br>72.30<br>70.21 | 12288<br>10240<br>9216 | 70.16<br>72.22<br>69.95 | 8192<br>6144<br>5120 | 67.98<br>72.30<br>68.19 | 1000<br>1000<br>1000 |\n| F19=7168 | 69.29 | 11264 | 69.16 | 71.68 | 70.42 | 1000 |",1]
["| Fine-tunelevel | F16⊕F19FeatureVector | F19FeatureVector | F22FeatureVector |  |\n| --- | --- | --- | --- | --- |\n| MeanLength | Mean | Length | Mean | Length |","| F22=1000 | 69.36 | 62.56 |\n| --- | --- | --- |\n| F22=2000 | 60.34 | 58.79 |\n| †<br>F22=1000 | 72.20 | 58.52 |",0]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431361 | 14.5125 |\n| octopus | 1431361 | 12.9877 |","| penguin | 808001 | 7.58177 |\n| --- | --- | --- |\n| plant | 1431361 | 13.7403 |\n| plane | 808001 | 7.67518 |",1]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431361 | 14.5125 |\n| octopus | 1431361 | 12.9877 |","| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431411 | 14.7271 |\n| octopus | 1431411 | 12.698 |\n| penguin | 808051 | 7.51067 |\n| plant | 1431411 | 13.6282 |\n| plane | 808051 | 7.64527 |",0]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431361 | 14.5125 |\n| octopus | 1431361 | 12.9877 |","| penguin | 808001 | 7.58177 |\n| --- | --- | --- |\n| plant | 1431361 | 13.7403 |\n| plane | 808001 | 7.67518 |",1]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431361 | 14.5125 |\n| octopus | 1431361 | 12.9877 |","| plant | 1431411 | 13.6282 |\n| --- | --- | --- |\n| plane | 808051 | 7.64527 |",0]
["|  | Noiseless | Noisy |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 |\n| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |\n| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |\n| D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 |","| ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |",1]
["|  | Noiseless | Noisy |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 |\n| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |\n| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |\n| D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 |","| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["|  | Noiseless | Noisy |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 |\n| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |\n| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |","| D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |\n| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |",1]
["|  | Noiseless | Noisy |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 |\n| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |\n| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |","| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| CIFAR-100 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 70.43 | 62.35 | 63.82 | 64.16 | 65.87 |","| VGG-16 | 73.55 | 69.03 | 70.14 | 71.41 | 72.10 |\n| --- | --- | --- | --- | --- | --- |\n| ResNet-56 | 70.86 | 66.73 | 67.65 | 68.26 | 69.83 |\n| ResNet-110 | 73.21 | 68.67 | 69.85 | 68.95 | 72.32 |\n| ResNet-18 | 76.32 | 72.31 | 74.04 | 73.15 | 75.24 |\n| ResNet-34 | 77.23 | 72.92 | 75.62 | 74.43 | 76.16 |",1]
["| CIFAR-100 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 70.43 | 62.35 | 63.82 | 64.16 | 65.87 |","| CIFAR-10 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 91.93 | 88.70 | 89.28 | 90.48 | 91.01 |\n| VGG-16 | 93.59 | 91.60 | 91.98 | 92.75 | 93.20 |\n| ResNet-20 | 92.68 | 87.44 | 87.82 | 88.65 | 90.07 |\n| ResNet-32 | 93.40 | 89.49 | 90.65 | 90.94 | 92.04 |\n| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",0]
["| CIFAR-100 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 70.43 | 62.35 | 63.82 | 64.16 | 65.87 |","| VGG-16 | 73.55 | 69.03 | 70.14 | 71.41 | 72.10 |\n| --- | --- | --- | --- | --- | --- |\n| ResNet-56 | 70.86 | 66.73 | 67.65 | 68.26 | 69.83 |\n| ResNet-110 | 73.21 | 68.67 | 69.85 | 68.95 | 72.32 |\n| ResNet-18 | 76.32 | 72.31 | 74.04 | 73.15 | 75.24 |\n| ResNet-34 | 77.23 | 72.92 | 75.62 | 74.43 | 76.16 |",1]
["| CIFAR-100 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 70.43 | 62.35 | 63.82 | 64.16 | 65.87 |","| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| --- | --- | --- | --- | --- | --- |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",0]
["| Vertices | Density | Ourtime<br>[Sec.] | Boosttime<br>[Sec.] | speedup |\n| --- | --- | --- | --- | --- |\n| 100,000 | 2.5 | 0.01 | 0.08 | 8.00 |\n| 1,000,000 | 2.5 | 0.23 | 0.53 | 2.30 |\n| 5,000,000 | 2.5 | 1.45 | 4.14 | 2.86 |\n| 10,000,000 | 2.5 | 3.05 | 9.7 | 3.18 |\n| 20,000,000 | 2.5 | 6.68 | 21.97 | 3.29 |\n| 100,000 | 15 | 0.03 | 0.11 | 3.67 |\n| 1,000,000 | 15 | 0.68 | 1 | 1.47 |","| 2,000,000 | 15 | 1.5 | 2.51 | 1.67 |\n| --- | --- | --- | --- | --- |\n| 3,000,000 | 15 | 2.36 | 4.12 | 1.75 |\n| 5,000,000 | 15 | 4.18 | 7.59 | 1.82 |\n| roadUSA<br>23,947,347 | 2.44 | 2.57 | 6.25 | 2.43 |",1]
["| Vertices | Density | Ourtime<br>[Sec.] | Boosttime<br>[Sec.] | speedup |\n| --- | --- | --- | --- | --- |\n| 100,000 | 2.5 | 0.01 | 0.08 | 8.00 |\n| 1,000,000 | 2.5 | 0.23 | 0.53 | 2.30 |\n| 5,000,000 | 2.5 | 1.45 | 4.14 | 2.86 |\n| 10,000,000 | 2.5 | 3.05 | 9.7 | 3.18 |\n| 20,000,000 | 2.5 | 6.68 | 21.97 | 3.29 |\n| 100,000 | 15 | 0.03 | 0.11 | 3.67 |\n| 1,000,000 | 15 | 0.68 | 1 | 1.47 |","|  | VA | Priors | t-link | Graph<br>cuts |\n| --- | --- | --- | --- | --- |\n| CPU | 32.9 | 148.1 | 218.6 | 97.0 |\n| GPU | 22.2 | 1.9 | 109.6 | 69.0 |\n| CPU | 58.8 | 372.8 | 350.8 | 246.5 |\n| GPU | 30.4 | 3.5 | 120.8 | 27.7 |\n| CPU | 109.8 | 814.5 | 602.6 | 664.5 |\n| GPU | 45.2 | 6.2 | 142.6 | 232.3 |",0]
["| Vertices | Density | Ourtime<br>[Sec.] | Boosttime<br>[Sec.] | speedup |\n| --- | --- | --- | --- | --- |\n| 100,000 | 2.5 | 0.01 | 0.08 | 8.00 |\n| 1,000,000 | 2.5 | 0.23 | 0.53 | 2.30 |\n| 5,000,000 | 2.5 | 1.45 | 4.14 | 2.86 |\n| 10,000,000 | 2.5 | 3.05 | 9.7 | 3.18 |","| 20,000,000 | 2.5 | 6.68 | 21.97 | 3.29 |\n| --- | --- | --- | --- | --- |\n| 100,000 | 15 | 0.03 | 0.11 | 3.67 |\n| 1,000,000 | 15 | 0.68 | 1 | 1.47 |\n| 2,000,000 | 15 | 1.5 | 2.51 | 1.67 |\n| 3,000,000 | 15 | 2.36 | 4.12 | 1.75 |\n| 5,000,000 | 15 | 4.18 | 7.59 | 1.82 |\n| roadUSA<br>23,947,347 | 2.44 | 2.57 | 6.25 | 2.43 |",1]
["| Vertices | Density | Ourtime<br>[Sec.] | Boosttime<br>[Sec.] | speedup |\n| --- | --- | --- | --- | --- |\n| 100,000 | 2.5 | 0.01 | 0.08 | 8.00 |\n| 1,000,000 | 2.5 | 0.23 | 0.53 | 2.30 |\n| 5,000,000 | 2.5 | 1.45 | 4.14 | 2.86 |\n| 10,000,000 | 2.5 | 3.05 | 9.7 | 3.18 |","| CPU | 58.8 | 372.8 | 350.8 | 246.5 |\n| --- | --- | --- | --- | --- |\n| GPU | 30.4 | 3.5 | 120.8 | 27.7 |\n| CPU | 109.8 | 814.5 | 602.6 | 664.5 |\n| GPU | 45.2 | 6.2 | 142.6 | 232.3 |",0]
["| Process | LayerName | LayerType | fpoperationsperimage | Device |\n| --- | --- | --- | --- | --- |\n| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |\n| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |","| FC7 | FC-dropout | 67108864 | K40-cudnn |\n| --- | --- | --- | --- |\n| FC8 | FC-softmax | 16384000 | K40-cudnn |\n| FC6 | FC-dropout | 150994944 | K40-cublas |\n| FC7 | FC-dropout | 67108864 | K40-cublas |\n| FC8 | FC-softmax | 16384000 | K40-cublas |",1]
["| Process | LayerName | LayerType | fpoperationsperimage | Device |\n| --- | --- | --- | --- | --- |\n| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |\n| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |","| LayerswithDropout | Dropoutratio |  |\n| --- | --- | --- |\n| 0.4 | 0.5 |  |\n| fc7+fc6 | 0.854 | 0.853 |\n| fc7+fc6+conv5 | 0.853 | 0.854 |\n| fc7+fc6+conv5+conv4 | 0.863 | 0.860 |\n| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |\n| fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |\n| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 |",0]
["| Process | LayerName | LayerType | fpoperationsperimage | Device |\n| --- | --- | --- | --- | --- |\n| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |\n| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |","| FC7 | FC-dropout | 67108864 | K40-cudnn |\n| --- | --- | --- | --- |\n| FC8 | FC-softmax | 16384000 | K40-cudnn |\n| FC6 | FC-dropout | 150994944 | K40-cublas |\n| FC7 | FC-dropout | 67108864 | K40-cublas |\n| FC8 | FC-softmax | 16384000 | K40-cublas |",1]
["| Process | LayerName | LayerType | fpoperationsperimage | Device |\n| --- | --- | --- | --- | --- |\n| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |\n| FC7 | FC-dropout | 33554432 | K40-cudnn |  |\n| FC8 | FC-softmax | 8192000 | K40-cudnn |  |\n| FC6 | FC-dropout | 75497472 | K40-cublas |  |\n| FC7 | FC-dropout | 33554432 | K40-cublas |  |\n| FC8 | FC-softmax | 8192000 | K40-cublas |  |\n| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |","| fc7+fc6+conv5+conv4+conv3 | 0.855 | 0.856 |\n| --- | --- | --- |\n| fc7+fc6+conv5+conv4+conv3+conv2 | 0.842 | 0.843 |\n| fc7+fc6+conv5+conv4+conv3+conv2+conv1 | 0.799 | 0.782 |",0]
["| Method | mAP |\n| --- | --- |\n| SIFT | 0.115 |\n| SURF | 0.106 |\n| BRISK | 0.035 |\n| ORB | 0.098 |","| KAZE | 0.283 |\n| --- | --- |\n| DoLF | 0.517 |\n| ProposedRLF | 0.490 |",1]
["| Method | mAP |\n| --- | --- |\n| SIFT | 0.115 |\n| SURF | 0.106 |\n| BRISK | 0.035 |\n| ORB | 0.098 |","| Method | mAP |\n| --- | --- |\n| HoG | 0.584 |\n| Loci | 0.419 |\n| Graph-based | 0.565 |\n| FFT | 0.771 |\n| ProposedRLF | 0.783 |",0]
["| Method | mAP |\n| --- | --- |\n| SIFT | 0.115 |\n| SURF | 0.106 |\n| BRISK | 0.035 |\n| ORB | 0.098 |\n| KAZE | 0.283 |","| DoLF | 0.517 |\n| --- | --- |\n| ProposedRLF | 0.490 |",1]
["| Method | mAP |\n| --- | --- |\n| SIFT | 0.115 |\n| SURF | 0.106 |\n| BRISK | 0.035 |\n| ORB | 0.098 |\n| KAZE | 0.283 |","| FFT | 0.771 |\n| --- | --- |\n| ProposedRLF | 0.783 |",0]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |","| 9:it | 7:have | 5:but | 5:do |\n| --- | --- | --- | --- |\n| 7:oh | 5:you | 5:yeah | 5:have |\n| 6:and | 4:are | 4:air | 5:it |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",1]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |","| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |\n| 15:a | 10:i | 19:i | 12:i |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |\n| 6:and | 4:are | 4:air | 5:it |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",0]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |","| 15:a | 10:i | 19:i | 12:i |\n| --- | --- | --- | --- |\n| 15:is | 9:and | 9:and | 11:and |\n| 11:i | 8:a | 7:of | 9:you |\n| 11:the | 8:that | 6:do | 8:is |\n| 11:you | 8:the | 6:is | 6:they |\n| 9:it | 7:have | 5:but | 5:do |\n| 7:oh | 5:you | 5:yeah | 5:have |\n| 6:and | 4:are | 4:air | 5:it |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",1]
["| CH | SWB |  |  |\n| --- | --- | --- | --- |\n| ASR | Human | ASR | Human |","| 6:and | 4:are | 4:air | 5:it |\n| --- | --- | --- | --- |\n| 6:in | 4:is | 4:in | 5:yeah |\n| 6:know | 4:they | 4:you | 4:a |",0]
["| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 |\n| 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 |  |\n| 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 |  |\n| 0.81,0.14 | 0.93,0.13 | 0.87,0.11 | 0.89,0.11 | 15.0,19.6 |  |\n| 2 | 0.60,0.16 | 0.96,0.11 | 0.62,0.16 | 0.73,0.16 | 20.2,15.5 |","| 0.64,0.16 | 0.98,0.07 | 0.66,0.16 | 0.77,0.13 | 24.3,17.9 |  |\n| --- | --- | --- | --- | --- | --- |\n| 0.80,0.15 | 0.90,0.13 | 0.89,0.12 | 0.88,0.11 | 13.8,18.4 |  |\n| 0.83,0.15 | 0.91,0.12 | 0.91,0.12 | 0.90,0.11 | 13.6,20.1 |  |\n| 3 | 0.49,0.18 | 0.94,0.11 | 0.52,0.21 | 0.63,0.19 | 32.2,23.5 |\n| 0.54,0.17 | 0.97,0.10 | 0.55,0.17 | 0.68,0.15 | 31.7,20.3 |  |\n| 0.70,0.23 | 0.89,0.14 | 0.79,0.25 | 0.80,0.21 | 21.7,24.3 |  |\n| 0.77,0.17 | 0.89,0.11 | 0.85,0.16 | 0.86,0.13 | 13.8,18.2 |  |\n| 4 | 0.44,0.18 | 0.94,0.13 | 0.46,0.20 | 0.59,0.20 | 33.6,22.0 |\n| 0.47,0.15 | 0.97,0.09 | 0.48,0.16 | 0.62,0.16 | 34.5,17.9 |  |\n| 0.75,0.18 | 0.80,0.19 | 0.93,0.11 | 0.84,0.14 | 27.1,29.3 |  |\n| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 |  |\n| 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 |\n| 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 |  |\n| 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 |  |\n| 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 |  |\n| 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 |\n| 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 |  |\n| 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 |  |\n| 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 |  |\n| 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 |\n| 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 |  |\n| 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 |  |\n| 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 |  |",1]
["| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 |\n| 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 |  |\n| 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 |  |\n| 0.81,0.14 | 0.93,0.13 | 0.87,0.11 | 0.89,0.11 | 15.0,19.6 |  |\n| 2 | 0.60,0.16 | 0.96,0.11 | 0.62,0.16 | 0.73,0.16 | 20.2,15.5 |","| Dataset | F1score | accuracy | precision | recall |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| before | after | before | after | before | after | before | after |  |\n| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |\n| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 |\n| Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 |\n| Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |",0]
["| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 |\n| 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 |  |\n| 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 |  |\n| 0.81,0.14 | 0.93,0.13 | 0.87,0.11 | 0.89,0.11 | 15.0,19.6 |  |\n| 2 | 0.60,0.16 | 0.96,0.11 | 0.62,0.16 | 0.73,0.16 | 20.2,15.5 |\n| 0.64,0.16 | 0.98,0.07 | 0.66,0.16 | 0.77,0.13 | 24.3,17.9 |  |\n| 0.80,0.15 | 0.90,0.13 | 0.89,0.12 | 0.88,0.11 | 13.8,18.4 |  |\n| 0.83,0.15 | 0.91,0.12 | 0.91,0.12 | 0.90,0.11 | 13.6,20.1 |  |\n| 3 | 0.49,0.18 | 0.94,0.11 | 0.52,0.21 | 0.63,0.19 | 32.2,23.5 |\n| 0.54,0.17 | 0.97,0.10 | 0.55,0.17 | 0.68,0.15 | 31.7,20.3 |  |\n| 0.70,0.23 | 0.89,0.14 | 0.79,0.25 | 0.80,0.21 | 21.7,24.3 |  |\n| 0.77,0.17 | 0.89,0.11 | 0.85,0.16 | 0.86,0.13 | 13.8,18.2 |  |\n| 4 | 0.44,0.18 | 0.94,0.13 | 0.46,0.20 | 0.59,0.20 | 33.6,22.0 |\n| 0.47,0.15 | 0.97,0.09 | 0.48,0.16 | 0.62,0.16 | 34.5,17.9 |  |\n| 0.75,0.18 | 0.80,0.19 | 0.93,0.11 | 0.84,0.14 | 27.1,29.3 |  |\n| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 |  |\n| 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 |\n| 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 |  |\n| 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 |  |\n| 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 |  |\n| 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 |\n| 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 |  |\n| 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 |  |\n| 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 |  |\n| 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 |","| 0.44,0.20 | 0.96,0.08 | 0.45,0.21 | 0.58,0.22 | 33.0,18.7 |\n| --- | --- | --- | --- | --- |\n| 0.78,0.18 | 0.86,0.14 | 0.91,0.16 | 0.86,0.14 | 19.2,30.3 |\n| 0.78,0.17 | 0.86,0.15 | 0.90,0.14 | 0.86,0.14 | 18.5,26.1 |",1]
["| Patient | Jaccard | Precision | Recall | F1score | HD(pix.) |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0.44,0.19 | 0.96,0.08 | 0.46,0.21 | 0.58,0.22 | 34.3,19.1 |\n| 0.38,0.18 | 0.97,0.07 | 0.40,0.20 | 0.53,0.20 | 34.6,18.7 |  |\n| 0.75,0.20 | 0.86,0.18 | 0.86,0.17 | 0.84,0.17 | 22.0,25.6 |  |\n| 0.81,0.14 | 0.93,0.13 | 0.87,0.11 | 0.89,0.11 | 15.0,19.6 |  |\n| 2 | 0.60,0.16 | 0.96,0.11 | 0.62,0.16 | 0.73,0.16 | 20.2,15.5 |\n| 0.64,0.16 | 0.98,0.07 | 0.66,0.16 | 0.77,0.13 | 24.3,17.9 |  |\n| 0.80,0.15 | 0.90,0.13 | 0.89,0.12 | 0.88,0.11 | 13.8,18.4 |  |\n| 0.83,0.15 | 0.91,0.12 | 0.91,0.12 | 0.90,0.11 | 13.6,20.1 |  |\n| 3 | 0.49,0.18 | 0.94,0.11 | 0.52,0.21 | 0.63,0.19 | 32.2,23.5 |\n| 0.54,0.17 | 0.97,0.10 | 0.55,0.17 | 0.68,0.15 | 31.7,20.3 |  |\n| 0.70,0.23 | 0.89,0.14 | 0.79,0.25 | 0.80,0.21 | 21.7,24.3 |  |\n| 0.77,0.17 | 0.89,0.11 | 0.85,0.16 | 0.86,0.13 | 13.8,18.2 |  |\n| 4 | 0.44,0.18 | 0.94,0.13 | 0.46,0.20 | 0.59,0.20 | 33.6,22.0 |\n| 0.47,0.15 | 0.97,0.09 | 0.48,0.16 | 0.62,0.16 | 34.5,17.9 |  |\n| 0.75,0.18 | 0.80,0.19 | 0.93,0.11 | 0.84,0.14 | 27.1,29.3 |  |\n| 0.80,0.19 | 0.87,0.15 | 0.92,0.16 | 0.88,0.15 | 22.0,29.0 |  |\n| 5 | 0.57,0.16 | 0.95,0.10 | 0.59,0.17 | 0.71,0.15 | 28.9,19.3 |\n| 0.49,0.16 | 0.97,0.10 | 0.50,0.16 | 0.64,0.17 | 36.4,19.6 |  |\n| 0.80,0.17 | 0.85,0.16 | 0.93,0.13 | 0.88,0.14 | 21.4,30.8 |  |\n| 0.86,0.12 | 0.90,0.10 | 0.95,0.09 | 0.92,0.08 | 15.5,20.4 |  |\n| 6 | 0.51,0.19 | 0.93,0.13 | 0.55,0.21 | 0.65,0.19 | 26.6,19.5 |\n| 0.67,0.20 | 0.93,0.17 | 0.71,0.20 | 0.78,0.19 | 22.2,24.7 |  |\n| 0.71,0.21 | 0.84,0.18 | 0.84,0.20 | 0.81,0.17 | 23.8,25.4 |  |\n| 0.82,0.14 | 0.88,0.13 | 0.93,0.09 | 0.90,0.10 | 13.1,18.1 |  |\n| 7 | 0.58,0.20 | 0.95,0.11 | 0.61,0.21 | 0.71,0.19 | 33.3,25.0 |","| Healthy | 0.669 | 0.712 | 0.836 | 0.843 | 0.606 | 0.675 | 0.746 | 0.753 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Diabeticretinopathy | 0.495 | 0.532 | 0.819 | 0.822 | 0.524 | 0.588 | 0.468 | 0.486 |\n| Glaucomatous | 0.495 | 0.584 | 0.838 | 0.841 | 0.477 | 0.562 | 0.608 | 0.618 |\n| Wholedataset | 0.612 | 0.672 | 0.847 | 0.855 | 0.603 | 0.675 | 0.623 | 0.670 |",0]
["| CenterWord/Sense | NearestNeighbors |\n| --- | --- |\n| bank | ATMmachines,Iberiabank,automatedtellermachines |\n| bank1 | ﬁnancial,deposit,ATMs |\n| bank2 | riverbank,water,slope |\n| star | matineeidol,singer,superstar |\n| star1 | asteroid,celestial,supernova |\n| star2 | legend,standout,footballer |","| pretty | wonderfully,unbelievably,nice |\n| --- | --- |\n| pretty1 | remarkably,extremely,obviously |\n| pretty2 | beauteous,dainty,lovely |",1]
["| CenterWord/Sense | NearestNeighbors |\n| --- | --- |\n| bank | ATMmachines,Iberiabank,automatedtellermachines |\n| bank1 | ﬁnancial,deposit,ATMs |\n| bank2 | riverbank,water,slope |\n| star | matineeidol,singer,superstar |\n| star1 | asteroid,celestial,supernova |\n| star2 | legend,standout,footballer |","| SEMANTIC | SYNTACTIC |  |  |\n| --- | --- | --- | --- |\n| “general”-similarity |  |  |  |\n| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |\n| “sees”-“see”+“bank”=˜ |  |  |  |\n| ﬁrestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |",0]
["| CenterWord/Sense | NearestNeighbors |\n| --- | --- |\n| bank | ATMmachines,Iberiabank,automatedtellermachines |\n| bank1 | ﬁnancial,deposit,ATMs |\n| bank2 | riverbank,water,slope |\n| star | matineeidol,singer,superstar |\n| star1 | asteroid,celestial,supernova |\n| star2 | legend,standout,footballer |\n| pretty | wonderfully,unbelievably,nice |","| pretty1 | remarkably,extremely,obviously |\n| --- | --- |\n| pretty2 | beauteous,dainty,lovely |",1]
["| CenterWord/Sense | NearestNeighbors |\n| --- | --- |\n| bank | ATMmachines,Iberiabank,automatedtellermachines |\n| bank1 | ﬁnancial,deposit,ATMs |\n| bank2 | riverbank,water,slope |\n| star | matineeidol,singer,superstar |\n| star1 | asteroid,celestial,supernova |\n| star2 | legend,standout,footballer |\n| pretty | wonderfully,unbelievably,nice |","| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |\n| --- | --- | --- | --- |\n| “sees”-“see”+“bank”=˜ |  |  |  |\n| ﬁrestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |",0]
["| Rank | Numberofparticipants | Topic |\n| --- | --- | --- |\n| 1 | 4,35M | humor |\n| 2 | 4,10M | humor |","| 3 | 3,76M | movies |\n| --- | --- | --- |\n| 4 | 3,69M | humor |\n| 5 | 3,59M | humor |\n| 6 | 3,58M | facts |\n| 7 | 3,36M | cookery |\n| 8 | 3,31M | humor |\n| 9 | 3,14M | humor |\n| 10 | 3,14M | movies |\n| 100 | 1,65M | successstories |",1]
["| Rank | Numberofparticipants | Topic |\n| --- | --- | --- |\n| 1 | 4,35M | humor |\n| 2 | 4,10M | humor |","| Topics | Question |  |  |  |\n| --- | --- | --- | --- | --- |\n| Q7 | Q8 |  |  |  |\n| NumberofYES | Ranking | NumberofYES | Ranking |  |\n| T1 | 6 | 2 | 3 | 5 |\n| T2 | 5 | 3 | 2 | 8 |\n| T3 | 7 | 1 | 5 | 2 |\n| T4 | 4 | 4 | 3 | 5 |\n| T5 | 3 | 6 | 3 | 5 |\n| T6 | 4 | 4 | 1 | 9 |\n| T7 | 0 | (7) | 4 | 4 |\n| T8 | 0 | (7) | 7 | 1 |\n| T9 | 0 | (7) | 5 | 2 |",0]
["| Rank | Numberofparticipants | Topic |\n| --- | --- | --- |\n| 1 | 4,35M | humor |\n| 2 | 4,10M | humor |\n| 3 | 3,76M | movies |\n| 4 | 3,69M | humor |\n| 5 | 3,59M | humor |\n| 6 | 3,58M | facts |","| 7 | 3,36M | cookery |\n| --- | --- | --- |\n| 8 | 3,31M | humor |\n| 9 | 3,14M | humor |\n| 10 | 3,14M | movies |\n| 100 | 1,65M | successstories |",1]
["| Rank | Numberofparticipants | Topic |\n| --- | --- | --- |\n| 1 | 4,35M | humor |\n| 2 | 4,10M | humor |\n| 3 | 3,76M | movies |\n| 4 | 3,69M | humor |\n| 5 | 3,59M | humor |\n| 6 | 3,58M | facts |","| T5 | 3 | 6 | 3 | 5 |\n| --- | --- | --- | --- | --- |\n| T6 | 4 | 4 | 1 | 9 |\n| T7 | 0 | (7) | 4 | 4 |\n| T8 | 0 | (7) | 7 | 1 |\n| T9 | 0 | (7) | 5 | 2 |",0]
["| s | si | sj | τ(s\\|s,s)ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 1−a<br>0<br>0<br>a |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>1 |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |",1]
["| s | si | sj | τ(s\\|s,s)ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 1−a<br>0<br>0<br>a |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>1 |","| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>0<br>0<br>0 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |",0]
["| s | si | sj | τ(s\\|s,s)ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 1−a<br>0<br>0<br>a |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 0<br>0<br>0<br>1 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 1-a<br>0<br>0<br>a |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>1 |",1]
["| s | si | sj | τ(s\\|s,s)ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 1−a<br>0<br>0<br>a |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |",0]
["| corpus:low,MRC:high |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| WSJ | Wikipedia-E | Web-E | BNC | MICASE |","| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |\n| --- | --- | --- | --- | --- |\n| corpus:high,MRC:low |  |  |  |  |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",1]
["| corpus:low,MRC:high |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| WSJ | Wikipedia-E | Web-E | BNC | MICASE |","| Model | FrequentWords | RareWords |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| man | including | relatively | unconditional | hydroplane | uploading |  |\n| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |\n| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |\n| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",0]
["| corpus:low,MRC:high |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| WSJ | Wikipedia-E | Web-E | BNC | MICASE |\n| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |","| corpus:high,MRC:low |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",1]
["| corpus:low,MRC:high |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| WSJ | Wikipedia-E | Web-E | BNC | MICASE |\n| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |","| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |\n| --- | --- | --- | --- | --- | --- | --- |\n| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |\n| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",0]
["| Commandname | Description |\n| --- | --- |\n| IDLE | Donothing. |\n| BUILDWORKER | Ifthebaseisidle,buildaworker. |\n| BUILDBARRACK | Moveaworker(gatheringoridle)toan<br>emptyplaceandbuildabarrack. |\n| BUILDMELEEATTACKER | Ifwehaveanidlebarrack,buildanmeleeattacker. |\n| BUILDRANGEATTACKER | Ifwehaveanidlebarrack,buildanrangeattacker. |\n| HITANDRUN | Ifwehaverangeattackers,movetowards<br>opponentbaseandattack.Takeadvantageof<br>theirlongattackrangeandhighmovementspeed<br>tohitandrunifenemycounter-attack. |","| ATTACK | Allmeleeandrangeattackersattacktheopponent’sbase. |\n| --- | --- |\n| ATTACKINRANGE | Allmeleeandrangeattackersattackenemiesinsight. |\n| ALLDEFEND | Alltroopsattackenemytroopsnearthebaseandresource. |",1]
["| Commandname | Description |\n| --- | --- |\n| IDLE | Donothing. |\n| BUILDWORKER | Ifthebaseisidle,buildaworker. |\n| BUILDBARRACK | Moveaworker(gatheringoridle)toan<br>emptyplaceandbuildabarrack. |\n| BUILDMELEEATTACKER | Ifwehaveanidlebarrack,buildanmeleeattacker. |\n| BUILDRANGEATTACKER | Ifwehaveanidlebarrack,buildanrangeattacker. |\n| HITANDRUN | Ifwehaverangeattackers,movetowards<br>opponentbaseandattack.Takeadvantageof<br>theirlongattackrangeandhighmovementspeed<br>tohitandrunifenemycounter-attack. |","| Rank | Code | Name | Example | Count | KW | MW |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |\n| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |\n| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 |\n| 4 | FV | WrongVerbForm | hadtimetoplayedplay | 1789 | ** | 21 |\n| 5 | W | WordOrder | Probablyourhomeswillprobablybe | 1534 | ** | 34 |\n| 6 | MT | MissingPreposition | explaintoyou | 1435 | ** | 22 |\n| 7 | UD | UnnecessaryDeterminer | acourseattheCornellUniversity | 1321 |  |  |\n| 8 | UT | UnnecessaryPreposition | weneeditoneachminute | 1079 |  |  |\n| 9 | MA | MissingPronoun | becauseitisthebestconference | 984 | ** | 33 |\n| 10 | AGV | VerbAgreement | theteacherswaswereveryexperienced | 916 | ** | 21 |\n| 11 | FN | WrongFormNoun | becauseofmystudystudies | 884 | ** | 24 |\n| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |\n| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |\n| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |\n| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |\n| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 |  |  |\n| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |\n| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |\n| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |\n| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 |  |  |",0]
["| Commandname | Description |\n| --- | --- |\n| IDLE | Donothing. |\n| BUILDWORKER | Ifthebaseisidle,buildaworker. |\n| BUILDBARRACK | Moveaworker(gatheringoridle)toan<br>emptyplaceandbuildabarrack. |\n| BUILDMELEEATTACKER | Ifwehaveanidlebarrack,buildanmeleeattacker. |\n| BUILDRANGEATTACKER | Ifwehaveanidlebarrack,buildanrangeattacker. |\n| HITANDRUN | Ifwehaverangeattackers,movetowards<br>opponentbaseandattack.Takeadvantageof<br>theirlongattackrangeandhighmovementspeed<br>tohitandrunifenemycounter-attack. |","| ATTACK | Allmeleeandrangeattackersattacktheopponent’sbase. |\n| --- | --- |\n| ATTACKINRANGE | Allmeleeandrangeattackersattackenemiesinsight. |\n| ALLDEFEND | Alltroopsattackenemytroopsnearthebaseandresource. |",1]
["| Commandname | Description |\n| --- | --- |\n| IDLE | Donothing. |\n| BUILDWORKER | Ifthebaseisidle,buildaworker. |\n| BUILDBARRACK | Moveaworker(gatheringoridle)toan<br>emptyplaceandbuildabarrack. |\n| BUILDMELEEATTACKER | Ifwehaveanidlebarrack,buildanmeleeattacker. |\n| BUILDRANGEATTACKER | Ifwehaveanidlebarrack,buildanrangeattacker. |\n| HITANDRUN | Ifwehaverangeattackers,movetowards<br>opponentbaseandattack.Takeadvantageof<br>theirlongattackrangeandhighmovementspeed<br>tohitandrunifenemycounter-attack. |","| 6 | MT | MissingPreposition | explaintoyou | 1435 | ** | 22 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 7 | UD | UnnecessaryDeterminer | acourseattheCornellUniversity | 1321 |  |  |\n| 8 | UT | UnnecessaryPreposition | weneeditoneachminute | 1079 |  |  |\n| 9 | MA | MissingPronoun | becauseitisthebestconference | 984 | ** | 33 |\n| 10 | AGV | VerbAgreement | theteacherswaswereveryexperienced | 916 | ** | 21 |\n| 11 | FN | WrongFormNoun | becauseofmystudystudies | 884 | ** | 24 |\n| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |\n| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |\n| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |\n| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |\n| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 |  |  |\n| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |\n| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |\n| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |\n| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 |  |  |",0]
["| Paremeter | Range |\n| --- | --- |\n| VariableSize | {25,50,100,200,400} |","| SampleSize | {50,100,200,400,800} |\n| --- | --- |\n| In-degree | {0.75,1,1.25,1.5,1.75} |\n| NoiseWeightinLiNGAM | {0.1,0.2,0.3,0.4,0.5} |",1]
["| Paremeter | Range |\n| --- | --- |\n| VariableSize | {25,50,100,200,400} |","| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| Paremeter | Range |\n| --- | --- |\n| VariableSize | {25,50,100,200,400} |\n| SampleSize | {50,100,200,400,800} |","| In-degree | {0.75,1,1.25,1.5,1.75} |\n| --- | --- |\n| NoiseWeightinLiNGAM | {0.1,0.2,0.3,0.4,0.5} |",1]
["| Paremeter | Range |\n| --- | --- |\n| VariableSize | {25,50,100,200,400} |\n| SampleSize | {50,100,200,400,800} |","| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0257,0.0486) | (0.0133,0.0266) | (0.0067,0.0141) | (0.0034,0.0074) |\n| HF | (0.0275,0.0538) | (0.0142,0.0305) | (0.0070,0.0154) | (0.0035,0.0079) |\n| BD | (0.0273,0.0524) | (0.0137,0.0280) | (0.0069,0.0153) | (0.0035,0.0081) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0650,0.2000) | (0.0326,0.1088) | (0.0163,0.0490) | (0.0081,0.0259) |\n| HF | (0.0883,0.2238) | (0.0418,0.1405) | (0.0203,0.1386) | (0.0100,0.1379) |\n| BD | (0.1333,0.2028) | (0.0781,0.1278) | (0.0445,0.0690) | (0.0277,0.0344) |","| (d,d)2∞ |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 19.0 | 77.8 | 322 | 1821 |\n| timing(sec) |  |  |  |  |",1]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0257,0.0486) | (0.0133,0.0266) | (0.0067,0.0141) | (0.0034,0.0074) |\n| HF | (0.0275,0.0538) | (0.0142,0.0305) | (0.0070,0.0154) | (0.0035,0.0079) |\n| BD | (0.0273,0.0524) | (0.0137,0.0280) | (0.0069,0.0153) | (0.0035,0.0081) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0650,0.2000) | (0.0326,0.1088) | (0.0163,0.0490) | (0.0081,0.0259) |\n| HF | (0.0883,0.2238) | (0.0418,0.1405) | (0.0203,0.1386) | (0.0100,0.1379) |\n| BD | (0.1333,0.2028) | (0.0781,0.1278) | (0.0445,0.0690) | (0.0277,0.0344) |","| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |\n| HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) |\n| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |\n| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",0]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0257,0.0486) | (0.0133,0.0266) | (0.0067,0.0141) | (0.0034,0.0074) |\n| HF | (0.0275,0.0538) | (0.0142,0.0305) | (0.0070,0.0154) | (0.0035,0.0079) |\n| BD | (0.0273,0.0524) | (0.0137,0.0280) | (0.0069,0.0153) | (0.0035,0.0081) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0650,0.2000) | (0.0326,0.1088) | (0.0163,0.0490) | (0.0081,0.0259) |\n| HF | (0.0883,0.2238) | (0.0418,0.1405) | (0.0203,0.1386) | (0.0100,0.1379) |\n| BD | (0.1333,0.2028) | (0.0781,0.1278) | (0.0445,0.0690) | (0.0277,0.0344) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |","| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| --- | --- | --- | --- | --- |\n| BD | 19.0 | 77.8 | 322 | 1821 |\n| timing(sec) |  |  |  |  |",1]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0257,0.0486) | (0.0133,0.0266) | (0.0067,0.0141) | (0.0034,0.0074) |\n| HF | (0.0275,0.0538) | (0.0142,0.0305) | (0.0070,0.0154) | (0.0035,0.0079) |\n| BD | (0.0273,0.0524) | (0.0137,0.0280) | (0.0069,0.0153) | (0.0035,0.0081) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0650,0.2000) | (0.0326,0.1088) | (0.0163,0.0490) | (0.0081,0.0259) |\n| HF | (0.0883,0.2238) | (0.0418,0.1405) | (0.0203,0.1386) | (0.0100,0.1379) |\n| BD | (0.1333,0.2028) | (0.0781,0.1278) | (0.0445,0.0690) | (0.0277,0.0344) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |","| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| --- | --- | --- | --- | --- |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",0]
["| N33 | N43 | N63 | N73 | N16 | N26 | N46 | N18 | N28 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6blocks |  |  |  |  |  |  |  |  |\n| C11 | C11-C12 | C11-C13 | C11-C14 | C11-C12 | C11-C18 | C11 | C11-C12 | C11-C18 |\n|  |  |  |  |  |  |  |  |  |\n| C21 | C21-C22 | C21-C23 | C21-C24 | C21-C23 | C21-C28 | C21 | C21-C22 | C21-C25 |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","| C31 | C31-C32 | C31-C33 | C31-C34 | C31-C33 | C31-C38 | C31 | C31-C32 | C31-C35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["| N33 | N43 | N63 | N73 | N16 | N26 | N46 | N18 | N28 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6blocks |  |  |  |  |  |  |  |  |\n| C11 | C11-C12 | C11-C13 | C11-C14 | C11-C12 | C11-C18 | C11 | C11-C12 | C11-C18 |\n|  |  |  |  |  |  |  |  |  |\n| C21 | C21-C22 | C21-C23 | C21-C24 | C21-C23 | C21-C28 | C21 | C21-C22 | C21-C25 |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","|  | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | a | b | c | d | e | f |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 3f | 20 | 9a | f9 | 5c | 43 | d8 | a4 | bb | 7d | 1e | 85 | c7 | 62 | e6 | 1 |\n| 1 | 8c | b9 | 80 | 39 | a1 | 9c | ce | a6 | 2c | 97 | 5d | 9d | c6 | a3 | 4f | 6f |\n| 2 | 5b | aa | de | 61 | ab | 32 | 24 | 22 | 9e | 3d | 4c | ca | 7b | e5 | 65 | d6 |\n| 3 | b4 | bf | 4b | 35 | fb | b6 | 6b | 50 | 53 | 5 | 92 | f3 | e4 | 4e | 29 | 33 |\n| 4 | d0 | 40 | 4a | bc | d4 | 45 | 49 | 10 | e0 | b7 | 6c | 8f | c4 | 9 | 82 | 8 |\n| 5 | 63 | db | 7f | f1 | e3 | 52 | 13 | 2a | 28 | 60 | 5f | f8 | ec | eb | 2e | c2 |\n| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| N33 | N43 | N63 | N73 | N16 | N26 | N46 | N18 | N28 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6blocks |  |  |  |  |  |  |  |  |\n| C11 | C11-C12 | C11-C13 | C11-C14 | C11-C12 | C11-C18 | C11 | C11-C12 | C11-C18 |\n|  |  |  |  |  |  |  |  |  |\n| C21 | C21-C22 | C21-C23 | C21-C24 | C21-C23 | C21-C28 | C21 | C21-C22 | C21-C25 |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","| C31 | C31-C32 | C31-C33 | C31-C34 | C31-C33 | C31-C38 | C31 | C31-C32 | C31-C35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",1]
["| N33 | N43 | N63 | N73 | N16 | N26 | N46 | N18 | N28 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6blocks |  |  |  |  |  |  |  |  |\n| C11 | C11-C12 | C11-C13 | C11-C14 | C11-C12 | C11-C18 | C11 | C11-C12 | C11-C18 |\n|  |  |  |  |  |  |  |  |  |\n| C21 | C21-C22 | C21-C23 | C21-C24 | C21-C23 | C21-C28 | C21 | C21-C22 | C21-C25 |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |","| 6 | 5e | 25 | 4 | 41 | 69 | 95 | 72 | 34 | 75 | 4d | 31 | ac | 26 | f0 | b2 | 83 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | a | 84 | 5a | 57 | 86 | ﬀ | 1f | 30 | 14 | 36 | 88 | d2 | d7 | 70 | 74 |\n| 8 | b1 | 6 | d3 | 98 | 87 | 8e | 38 | 77 | 99 | 96 | 8a | 67 | 46 | 6d | f5 | 1d |\n| 9 | 3a | 1b | 37 | ee | 3b | 81 | e1 | df | d1 | 93 | cc | 91 | b8 | 3c | 51 | a9 |\n| a | d5 | 1a | 2b | 59 | b | 12 | bd | f7 | a0 | 2d | 78 | 76 | 71 | cd | 8b | 18 |\n| b | e8 | 11 | ad | be | e2 | 7e | 0 | a8 | cb | 9b | fa | 58 | 9f | ef | f6 | 94 |\n| c | ed | 27 | ba | f | 2f | d | c | 54 | 21 | 73 | b0 | 19 | f4 | 8d | c8 | 6e |\n| d | 89 | 48 | c5 | 23 | 64 | 47 | 7c | 16 | c1 | fd | e7 | cf | ea | 15 | da | a7 |\n| e | 7 | e9 | c3 | 44 | a2 | e | 79 | 7a | 3e | 90 | 6a | fc | a5 | 56 | b3 | dd |\n| f | 66 | c9 | dc | b5 | ae | af | 68 | f2 | 17 | 42 | 55 | d9 | 3 | c0 | 1c | fe |",0]
["| Task-Dataset | VarianceofK |\n| --- | --- |\n| NER-DNA(10-foldCV) | 0.0000223 |\n| NER-cellType(10-foldCV) | 0.0000211 |\n| NER-protein(10-foldCV) | 0.0000074 |\n| Reuters(10Categories) | 0.0000298 |\n| 20Newsgroups(20Categories) | 0.0000739 |\n| WebKBStudent(10-foldCV) | 0.0000137 |","| WebKBProject(10-foldCV) | 0.0000190 |\n| --- | --- |\n| WebKBFaculty(10-foldCV) | 0.0000115 |\n| WebKBCourse(10-foldCV) | 0.0000179 |\n| TC-spamassassin(10-foldCV) | 0.0000042 |\n| TC-TREC-SPAM(10-foldCV) | 0.0000043 |\n| Average(macro-avg) | 0.0000209 |",1]
["| Task-Dataset | VarianceofK |\n| --- | --- |\n| NER-DNA(10-foldCV) | 0.0000223 |\n| NER-cellType(10-foldCV) | 0.0000211 |\n| NER-protein(10-foldCV) | 0.0000074 |\n| Reuters(10Categories) | 0.0000298 |\n| 20Newsgroups(20Categories) | 0.0000739 |\n| WebKBStudent(10-foldCV) | 0.0000137 |","| Task-Dataset | SP | V2008 | SC2000 | ZWH2008 | LS2008 | All |\n| --- | --- | --- | --- | --- | --- | --- |\n| TREC-SPAM<br>(10-foldAVG) | 2100 | 56000 | 3900 | 29220 | 3160 | 56000 |\n| 98.33 | 98.47 | 98.41 | 98.44 | 96.63 | 98.47 |  |\n| 20Newsgroups<br>(20-catAVG) | 678 | 181 | 1984 | 1340 | 1669 | 11280 |\n| 60.85 | 18.06 | 55.43 | 60.72 | 54.79 | 54.81 |  |\n| Spamassassin<br>(10-foldAVG) | 326 | 4362 | 862 | 398 | 1176 | 5400 |\n| 94.57 | 95.00 | 95.53 | 95.94 | 95.62 | 95.63 |  |\n| NER-protein<br>(10-foldAVG) | 8720 | 67220 | 17680 | 18580 | 2360 | 67220 |\n| 89.48 | 90.28 | 90.38 | 90.31 | 76.47 | 90.28 |  |\n| NER-DNA<br>(10-foldAVG) | 4020 | 67220 | 10640 | 7200 | 3900 | 67220 |\n| 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 |  |\n| NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 |\n| 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 |  |\n| Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 |\n| 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 |  |\n| WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 |\n| 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 |  |\n| WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 |\n| 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 |  |\n| WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 |\n| 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 |  |\n| WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 |\n| 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 |  |\n| Average<br>(macro-avg) | 2152 | 21294 | 4477 | 6655 | 2301 | 28509 |\n| 81.70 | 62.30 | 80.85 | 82.27 | 78.45 | 81.27 |  |",0]
["| Task-Dataset | VarianceofK |\n| --- | --- |\n| NER-DNA(10-foldCV) | 0.0000223 |","| NER-cellType(10-foldCV) | 0.0000211 |\n| --- | --- |\n| NER-protein(10-foldCV) | 0.0000074 |\n| Reuters(10Categories) | 0.0000298 |\n| 20Newsgroups(20Categories) | 0.0000739 |\n| WebKBStudent(10-foldCV) | 0.0000137 |\n| WebKBProject(10-foldCV) | 0.0000190 |\n| WebKBFaculty(10-foldCV) | 0.0000115 |\n| WebKBCourse(10-foldCV) | 0.0000179 |\n| TC-spamassassin(10-foldCV) | 0.0000042 |\n| TC-TREC-SPAM(10-foldCV) | 0.0000043 |\n| Average(macro-avg) | 0.0000209 |",1]
["| Task-Dataset | VarianceofK |\n| --- | --- |\n| NER-DNA(10-foldCV) | 0.0000223 |","| 82.40 | 84.31 | 84.73 | 84.51 | 74.74 | 84.31 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| NER-cellType<br>(10-foldAVG) | 3840 | 29600 | 5540 | 11580 | 4580 | 67220 |\n| 86.15 | 86.87 | 87.19 | 87.32 | 85.65 | 87.83 |  |\n| Reuters<br>(10-catAVG) | 484 | 6762 | 1196 | 650 | 1272 | 9580 |\n| 74.29 | 65.81 | 73.88 | 76.77 | 74.00 | 75.64 |  |\n| WKB-Course<br>(10-foldAVG) | 790 | 184 | 1752 | 912 | 1740 | 7420 |\n| 83.12 | 30.34 | 80.47 | 83.16 | 80.55 | 80.19 |  |\n| WKB-Faculty<br>(10-foldAVG) | 808 | 892 | 1932 | 1062 | 1818 | 7420 |\n| 81.53 | 40.14 | 81.79 | 81.64 | 81.99 | 82.36 |  |\n| WKB-Project<br>(10-foldAVG) | 646 | 916 | 1358 | 794 | 1482 | 7420 |\n| 63.30 | 25.33 | 58.11 | 61.82 | 59.30 | 61.19 |  |\n| WKB-Student<br>(10-foldAVG) | 1258 | 894 | 2400 | 1468 | 2150 | 7420 |\n| 84.70 | 50.66 | 83.46 | 84.39 | 83.19 | 83.30 |  |\n| Average<br>(macro-avg) | 2152 | 21294 | 4477 | 6655 | 2301 | 28509 |\n| 81.70 | 62.30 | 80.85 | 82.27 | 78.45 | 81.27 |  |",0]
["| Sample | Outdegree |  |\n| --- | --- | --- |\n|  | Avg | Max |","| AStatesOnLastHalf<br>AStatesOnLastQuarter<br>AStepsOnLastHalf<br>AStepsOnLastQuarter | 8.03<br>7.80<br>7.01<br>6.95 | 656<br>1,031<br>916<br>1,041 |\n| --- | --- | --- |\n| BStatesOnLastHalf<br>BStatesOnLastQuarter<br>BStepsOnLastHalf<br>BStepsOnLastQuarter | 46.76<br>47.08<br>6.63<br>6.63 | 27,994<br>27,994<br>822<br>1,003 |\n| CVR<br>CPR<br>CRandom | 59.06<br>60.22<br>57.82 | 26,423<br>62,021<br>11,138 |",1]
["| Sample | Outdegree |  |\n| --- | --- | --- |\n|  | Avg | Max |","| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |\n| 31.17 | 30.67 | 31.61 | 30.80 | 32.53 | 32.07 | 30.91 | 29.24 | 31.20 |\n| 46.38 | 45.79 | 45.88 | 42.04 | 45.20 | 45.23 | 44.42 | 43.56 | 40.40 |\n| 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |\n| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 |",0]
["| Sample | Outdegree |  |\n| --- | --- | --- |\n|  | Avg | Max |\n| AStatesOnLastHalf<br>AStatesOnLastQuarter<br>AStepsOnLastHalf<br>AStepsOnLastQuarter | 8.03<br>7.80<br>7.01<br>6.95 | 656<br>1,031<br>916<br>1,041 |","| BStatesOnLastHalf<br>BStatesOnLastQuarter<br>BStepsOnLastHalf<br>BStepsOnLastQuarter | 46.76<br>47.08<br>6.63<br>6.63 | 27,994<br>27,994<br>822<br>1,003 |\n| --- | --- | --- |\n| CVR<br>CPR<br>CRandom | 59.06<br>60.22<br>57.82 | 26,423<br>62,021<br>11,138 |",1]
["| Sample | Outdegree |  |\n| --- | --- | --- |\n|  | Avg | Max |\n| AStatesOnLastHalf<br>AStatesOnLastQuarter<br>AStepsOnLastHalf<br>AStepsOnLastQuarter | 8.03<br>7.80<br>7.01<br>6.95 | 656<br>1,031<br>916<br>1,041 |","| 46.38 | 45.79 | 45.88 | 42.04 | 45.20 | 45.23 | 44.42 | 43.56 | 40.40 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |\n| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 |",0]
["| Numberofatoms | Bestvalueobtained | Bestvalueknown |\n| --- | --- | --- |\n| 19 | -72.659782 | -72.659782 |\n| 20 | -77.177043 | -77.177043 |\n| 21 | -81.684571 | -81.684571 |\n| 22 | -86.573675 | -86.809782 |\n| 23 | -92.844461 | -92.844472 |\n| 24 | -97.348815 | -97.348815 |\n| 25 | -102.372663 | -102.372663 |\n| 27 | -112.825517 | -112.873584 |\n| 30 | -128.096960 | -128.286571 |\n| 34 | -150.044528 | -150.044528 |\n| 44 | -207.631655 | -207.688728 |\n| 49 | -239.091863 | -239.091864 |\n| 56 | -283.324945 | -283.643105 |\n| 65 | -334.014007 | -334.971532 |\n| 67 | -347.053308 | -347.252007 |\n| 84 | -452.267210 | -452.6573 |\n| 93 | -510.653123 | -510.8779 |\n| 148 | -881.072948 | -881.072971 |\n| 170 | -1024.791771 | -1024.791797 |\n| 172 | -1039.154878 | -1039.154907 |\n| 268 | -1706.182547 | -1706.182605 |","| 288 | -1850.010789 | -1850.010842 |\n| --- | --- | --- |\n| 293 | -1888.427022 | -1888.427400 |\n| 298 | -1927.638727 | -1927.638785 |\n| 300 | -1942.106181 | -1942.106775 |\n| 301 | -1949.340973 | -1949.341015 |\n| 304 | -1971.044089 | -1971.044144 |\n| 308 | -1999.983235 | -1999.983300 |",1]
["| Numberofatoms | Bestvalueobtained | Bestvalueknown |\n| --- | --- | --- |\n| 19 | -72.659782 | -72.659782 |\n| 20 | -77.177043 | -77.177043 |\n| 21 | -81.684571 | -81.684571 |\n| 22 | -86.573675 | -86.809782 |\n| 23 | -92.844461 | -92.844472 |\n| 24 | -97.348815 | -97.348815 |\n| 25 | -102.372663 | -102.372663 |\n| 27 | -112.825517 | -112.873584 |\n| 30 | -128.096960 | -128.286571 |\n| 34 | -150.044528 | -150.044528 |\n| 44 | -207.631655 | -207.688728 |\n| 49 | -239.091863 | -239.091864 |\n| 56 | -283.324945 | -283.643105 |\n| 65 | -334.014007 | -334.971532 |\n| 67 | -347.053308 | -347.252007 |\n| 84 | -452.267210 | -452.6573 |\n| 93 | -510.653123 | -510.8779 |\n| 148 | -881.072948 | -881.072971 |\n| 170 | -1024.791771 | -1024.791797 |\n| 172 | -1039.154878 | -1039.154907 |\n| 268 | -1706.182547 | -1706.182605 |","| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |\n| --- | --- | --- | --- | --- | --- | --- |\n| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |\n| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |\n| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |\n| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |\n| 63,109 | 50,584 | 276 | 13.0s | 2.8s | 1.2s | 1.4s |\n| 269,223 | 160,203 | 712 | 1m22s | 9.8s | 4.4s | 3.7s |\n| 1,625,520 | 827,469 | 2,244 | 9m17s | 50s | 16.8s | 20.3s |\n| 11,040,912 | 5,044,441 | 5,582 | 82m33s | 5m2s | 1m5s | 1m3s |\n|  | 36,633,391 | 14,872 |  | 46m59s | 8m30s | 6m20s |\n|  | 264,463,730 | 49,114 |  | 6h22m56s | 67m31s | 46m37s |\n|  | 1,852,158,881 | 145,276 |  |  | 10h25m45s | 7h43m57s |",0]
["| Numberofatoms | Bestvalueobtained | Bestvalueknown |\n| --- | --- | --- |\n| 19 | -72.659782 | -72.659782 |\n| 20 | -77.177043 | -77.177043 |\n| 21 | -81.684571 | -81.684571 |\n| 22 | -86.573675 | -86.809782 |\n| 23 | -92.844461 | -92.844472 |\n| 24 | -97.348815 | -97.348815 |\n| 25 | -102.372663 | -102.372663 |","| 27 | -112.825517 | -112.873584 |\n| --- | --- | --- |\n| 30 | -128.096960 | -128.286571 |\n| 34 | -150.044528 | -150.044528 |\n| 44 | -207.631655 | -207.688728 |\n| 49 | -239.091863 | -239.091864 |\n| 56 | -283.324945 | -283.643105 |\n| 65 | -334.014007 | -334.971532 |\n| 67 | -347.053308 | -347.252007 |\n| 84 | -452.267210 | -452.6573 |\n| 93 | -510.653123 | -510.8779 |\n| 148 | -881.072948 | -881.072971 |\n| 170 | -1024.791771 | -1024.791797 |\n| 172 | -1039.154878 | -1039.154907 |\n| 268 | -1706.182547 | -1706.182605 |\n| 288 | -1850.010789 | -1850.010842 |\n| 293 | -1888.427022 | -1888.427400 |\n| 298 | -1927.638727 | -1927.638785 |\n| 300 | -1942.106181 | -1942.106775 |\n| 301 | -1949.340973 | -1949.341015 |\n| 304 | -1971.044089 | -1971.044144 |\n| 308 | -1999.983235 | -1999.983300 |",1]
["| Numberofatoms | Bestvalueobtained | Bestvalueknown |\n| --- | --- | --- |\n| 19 | -72.659782 | -72.659782 |\n| 20 | -77.177043 | -77.177043 |\n| 21 | -81.684571 | -81.684571 |\n| 22 | -86.573675 | -86.809782 |\n| 23 | -92.844461 | -92.844472 |\n| 24 | -97.348815 | -97.348815 |\n| 25 | -102.372663 | -102.372663 |","|  | 264,463,730 | 49,114 |  | 6h22m56s | 67m31s | 46m37s |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | 1,852,158,881 | 145,276 |  |  | 10h25m45s | 7h43m57s |",0]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |","| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",1]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 18.9 | 17.8 | 18.9 | 19.4 | 18.6 | 20.0 |\n| O2 | 18.7 | 17.9 | 18.7 | 19.3 | 18.4 | 19.8 |\n| O3 | 17.9 | 17.2 | 17.7 | 18.3 | 17.9 | 18.8 |\n| O4 | 18.6 | 17.7 | 18.5 | 19.1 | 19.0 | 19.7 |\n| O5 | 18.7 | 17.6 | 18.4 | 18.9 | 19.1 | 19.5 |\n| O6 | 18.8 | 17.3 | 19.0 | 19.7 | 19.3 | 20.2 |",0]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |","| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",1]
["|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |","| O5 | 18.7 | 17.6 | 18.4 | 18.9 | 19.1 | 19.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O6 | 18.8 | 17.3 | 19.0 | 19.7 | 19.3 | 20.2 |",0]
["| HPCompaq |  |\n| --- | --- |\n| Processor | Intel(R)Core2DuoE8400 |","| NoofCores | 2 |\n| --- | --- |\n| CPUSpeed | 3.00GHz |\n| RAM | 2GB |\n| OS | Debian7.0,LinuxKernel3.16.1 |",1]
["| HPCompaq |  |\n| --- | --- |\n| Processor | Intel(R)Core2DuoE8400 |","| CPU | Intel(R)Core(TM)i7-4790K4.00Hz |\n| --- | --- |\n| GPU | GeForceGTX1080Ti |\n| RAM | 20GB |\n| Harddisk | ToshibaSSD512G |\n| System | Ubuntu16.04 |",0]
["| HPCompaq |  |\n| --- | --- |\n| Processor | Intel(R)Core2DuoE8400 |\n| NoofCores | 2 |","| CPUSpeed | 3.00GHz |\n| --- | --- |\n| RAM | 2GB |\n| OS | Debian7.0,LinuxKernel3.16.1 |",1]
["| HPCompaq |  |\n| --- | --- |\n| Processor | Intel(R)Core2DuoE8400 |\n| NoofCores | 2 |","| RAM | 20GB |\n| --- | --- |\n| Harddisk | ToshibaSSD512G |\n| System | Ubuntu16.04 |",0]
["| Class | m | \\|V\\| | Solved<br>(outof10) | #OKPnodes | #OPPnodes |\n| --- | --- | --- | --- | --- | --- |\n| Min | Av | Max | Min | Av | Max |","| I | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>9<br>8 | 5<br>19<br>40<br>31<br>82 | 57<br>307<br>933<br>231<br>336 | 174<br>914<br>3826<br>677<br>943 | 0<br>0<br>0<br>1<br>234 | 8<br>158<br>431<br>287<br>147864 | 23<br>969<br>2411<br>1018<br>727719 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| II | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>8<br>7<br>6 | 6<br>28<br>32<br>36<br>62 | 139<br>548<br>5062<br>297<br>536 | 1038<br>1568<br>28754<br>571<br>1110 | 0<br>0<br>2<br>5<br>83 | 305<br>2873<br>14910<br>237144<br>168530 | 2699<br>26866<br>84975<br>1633573<br>280688 |\n| III | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>8<br>2 | 3<br>82<br>342<br>31<br>96 | 117<br>737<br>3865<br>1006<br>196 | 516<br>1860<br>10655<br>4064<br>296 | 0<br>3<br>745<br>3<br>241 | 299<br>10588<br>62065<br>345130<br>85729 | 1169<br>53510<br>416200<br>1174938<br>171218 |",1]
["| Class | m | \\|V\\| | Solved<br>(outof10) | #OKPnodes | #OPPnodes |\n| --- | --- | --- | --- | --- | --- |\n| Min | Av | Max | Min | Av | Max |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Class | m | \\|V\\| | Solved<br>(outof10) | #OKPnodes | #OPPnodes |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | Av | Max | Min | Av | Max |  |  |  |  |\n| I | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>9<br>8 | 5<br>19<br>40<br>31<br>82 | 57<br>307<br>933<br>231<br>336 | 174<br>914<br>3826<br>677<br>943 | 0<br>0<br>0<br>1<br>234 | 8<br>158<br>431<br>287<br>147864 | 23<br>969<br>2411<br>1018<br>727719 |","| II | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>8<br>7<br>6 | 6<br>28<br>32<br>36<br>62 | 139<br>548<br>5062<br>297<br>536 | 1038<br>1568<br>28754<br>571<br>1110 | 0<br>0<br>2<br>5<br>83 | 305<br>2873<br>14910<br>237144<br>168530 | 2699<br>26866<br>84975<br>1633573<br>280688 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| III | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>8<br>2 | 3<br>82<br>342<br>31<br>96 | 117<br>737<br>3865<br>1006<br>196 | 516<br>1860<br>10655<br>4064<br>296 | 0<br>3<br>745<br>3<br>241 | 299<br>10588<br>62065<br>345130<br>85729 | 1169<br>53510<br>416200<br>1174938<br>171218 |",1]
["| Class | m | \\|V\\| | Solved<br>(outof10) | #OKPnodes | #OPPnodes |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | Av | Max | Min | Av | Max |  |  |  |  |\n| I | 20<br>30<br>40<br>20<br>20 | 20<br>30<br>40<br>60<br>80 | 10<br>10<br>9<br>9<br>8 | 5<br>19<br>40<br>31<br>82 | 57<br>307<br>933<br>231<br>336 | 174<br>914<br>3826<br>677<br>943 | 0<br>0<br>0<br>1<br>234 | 8<br>158<br>431<br>287<br>147864 | 23<br>969<br>2411<br>1018<br>727719 |","| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| --- | --- | --- | --- | --- | --- |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Numberofwords |  |  |  |\n| --- | --- | --- | --- |\n| 1Quartile | 2Quartile(Median) | 3Quartile |  |\n| Stanford | 5 | 15 | 18,5 |\n| Yelp | 15,5 | 36 | 67,6 |\n| Debate | 12 | 15,5 | 18 |\n| ReviewsI | 19 | 13 | 32,5 |\n| TwitterI | 14 | 20 | 23,5 |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |","| NYT | 18 | 8 | 6 |\n| --- | --- | --- | --- |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",1]
["| Numberofwords |  |  |  |\n| --- | --- | --- | --- |\n| 1Quartile | 2Quartile(Median) | 3Quartile |  |\n| Stanford | 5 | 15 | 18,5 |\n| Yelp | 15,5 | 36 | 67,6 |\n| Debate | 12 | 15,5 | 18 |\n| ReviewsI | 19 | 13 | 32,5 |\n| TwitterI | 14 | 20 | 23,5 |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |","| Platform | #campaigns | #tasks | #totalbudget |\n| --- | --- | --- | --- |\n| Smartphone | 1102 | 231,892 | $27,702.07 |\n| Google+ | 823 | 57,203 | $18,960.50 |\n| Other | 797 | 349,937 | $31,333.06 |\n| Twitter | 747 | 83,731 | $14,047.21 |\n| Facebook | 666 | 115,967 | $15,657.86 |\n| YouTube | 616 | 248,914 | $29,322.28 |\n| Reddit | 539 | 77,104 | $5,434.15 |\n| Redacted | 501 | 132,401 | $13,397.94 |\n| Google | 330 | 261,923 | $18,672.37 |\n| RDT | 296 | 80,844 | $8,034.94 |\n| MBS | 218 | 38,859 | $5,497.36 |\n| Instagram | 172 | 19,421 | $2,072.35 |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |\n| eBay | 22 | 6,014 | $570.52 |\n| Yahoo | 21 | 45,686 | $2,355.13 |\n| Ali | 9 | 3,945 | $551.91 |\n| Bing | 4 | 675 | $69.00 |\n| Browseradd-on | 3 | 214 | $73.96 |",0]
["| Numberofwords |  |  |  |\n| --- | --- | --- | --- |\n| 1Quartile | 2Quartile(Median) | 3Quartile |  |\n| Stanford | 5 | 15 | 18,5 |\n| Yelp | 15,5 | 36 | 67,6 |\n| Debate | 12 | 15,5 | 18 |\n| ReviewsI | 19 | 13 | 32,5 |\n| TwitterI | 14 | 20 | 23,5 |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |","| NYT | 18 | 8 | 6 |\n| --- | --- | --- | --- |\n| TweetsII | 8 | 10 | 15 |\n| ReviewsII | 20 | 11 | 10 |\n| Tricky | 10 | 12 | 11 |",1]
["| Numberofwords |  |  |  |\n| --- | --- | --- | --- |\n| 1Quartile | 2Quartile(Median) | 3Quartile |  |\n| Stanford | 5 | 15 | 18,5 |\n| Yelp | 15,5 | 36 | 67,6 |\n| Debate | 12 | 15,5 | 18 |\n| ReviewsI | 19 | 13 | 32,5 |\n| TwitterI | 14 | 20 | 23,5 |\n| Myspace | 12 | 18 | 17 |\n| Youtube | 6 | 11 | 26 |\n| Digg | 5,5 | 15 | 19 |\n| RW | 20 | 27 | 104 |\n| BBC | 14 | 68 | 17 |\n| Amazon | 14 | 10 | 4 |","| YouTube | 616 | 248,914 | $29,322.28 |\n| --- | --- | --- | --- |\n| Reddit | 539 | 77,104 | $5,434.15 |\n| Redacted | 501 | 132,401 | $13,397.94 |\n| Google | 330 | 261,923 | $18,672.37 |\n| RDT | 296 | 80,844 | $8,034.94 |\n| MBS | 218 | 38,859 | $5,497.36 |\n| Instagram | 172 | 19,421 | $2,072.35 |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |\n| eBay | 22 | 6,014 | $570.52 |\n| Yahoo | 21 | 45,686 | $2,355.13 |\n| Ali | 9 | 3,945 | $551.91 |\n| Bing | 4 | 675 | $69.00 |\n| Browseradd-on | 3 | 214 | $73.96 |",0]
["| Model | Manuallyadded |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |","| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",1]
["| Model | Manuallyadded |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |","| Model | Manuallyadded |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |  |  |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |  |  |  |  |\n| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["| Model | Manuallyadded |  |  |\n| --- | --- | --- | --- |\n| Tagset | full | reduced | full |","| Previouslytrainedmodel | – | – | no | yes | no |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",1]
["| Model | Manuallyadded |  |  |\n| --- | --- | --- | --- |\n| Tagset | full | reduced | full |","| Previouslytrainedmodel | – | – | no | yes | no |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression | 0.7964 | 0.8102 | 0.8325 | 0.7731 | 0.8151 | 0.8275 |\n| GTMicroExpression+IDT | 0.8456 | 0.8137 | 0.8468 | 0.7834 | 0.8205 | 0.8988 |\n| GTMicroExpression+IDT+Transcript | 0.8594 | 0.8137 | 0.8923 | 0.8074 | 0.8205 | 0.8988 |","| GTMicroExpression+IDT+MFCC | 0.8969 | 0.9002 | 0.8668 | 0.7834 | 0.8319 | 0.9221 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression+AllModalities | 0.9065 | 0.9002 | 0.8905 | 0.8074 | 0.8731 | 0.9221 |",1]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression | 0.7964 | 0.8102 | 0.8325 | 0.7731 | 0.8151 | 0.8275 |\n| GTMicroExpression+IDT | 0.8456 | 0.8137 | 0.8468 | 0.7834 | 0.8205 | 0.8988 |\n| GTMicroExpression+IDT+Transcript | 0.8594 | 0.8137 | 0.8923 | 0.8074 | 0.8205 | 0.8988 |","| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |\n| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression | 0.7964 | 0.8102 | 0.8325 | 0.7731 | 0.8151 | 0.8275 |\n| GTMicroExpression+IDT | 0.8456 | 0.8137 | 0.8468 | 0.7834 | 0.8205 | 0.8988 |\n| GTMicroExpression+IDT+Transcript | 0.8594 | 0.8137 | 0.8923 | 0.8074 | 0.8205 | 0.8988 |","| GTMicroExpression+IDT+MFCC | 0.8969 | 0.9002 | 0.8668 | 0.7834 | 0.8319 | 0.9221 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression+AllModalities | 0.9065 | 0.9002 | 0.8905 | 0.8074 | 0.8731 | 0.9221 |",1]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression | 0.7964 | 0.8102 | 0.8325 | 0.7731 | 0.8151 | 0.8275 |\n| GTMicroExpression+IDT | 0.8456 | 0.8137 | 0.8468 | 0.7834 | 0.8205 | 0.8988 |\n| GTMicroExpression+IDT+Transcript | 0.8594 | 0.8137 | 0.8923 | 0.8074 | 0.8205 | 0.8988 |","| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",0]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.5520.5660.5580.581 |\n| 2-sub-networks | 0.4670.4940.4770.515 |","| PrecisionwithinHammingradius2 |  |\n| --- | --- |\n| 1-sub-network | 0.5270.6150.6020.625 |\n| 2-sub-networks | 0.4500.5640.5490.588 |",1]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.5520.5660.5580.581 |\n| 2-sub-networks | 0.4670.4940.4770.515 |","| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.6740.6970.7130.715 |\n| 2-sub-networks | 0.6400.6860.6880.697 |\n| PrecisionwithinHammingradius2 |  |\n| 1-sub-network | 0.6230.6860.7100.714 |\n| 2-sub-networks | 0.5790.6640.6960.704 |",0]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.5520.5660.5580.581 |","| 2-sub-networks | 0.4670.4940.4770.515 |\n| --- | --- |\n| PrecisionwithinHammingradius2 |  |\n| 1-sub-network | 0.5270.6150.6020.625 |\n| 2-sub-networks | 0.4500.5640.5490.588 |",1]
["| Methods | 12bits24bits32bits48bits |\n| --- | --- |\n| MAP |  |\n| 1-sub-network | 0.5520.5660.5580.581 |","| 1-sub-network | 0.6740.6970.7130.715 |\n| --- | --- |\n| 2-sub-networks | 0.6400.6860.6880.697 |\n| PrecisionwithinHammingradius2 |  |\n| 1-sub-network | 0.6230.6860.7100.714 |\n| 2-sub-networks | 0.5790.6640.6960.704 |",0]
["|  | Method | Numberofbuildings<br>102048 |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |","| Peak[kW] | - | 59.79 | 6.12 | 124.72 | 10.28 | 281.88 | 14.32 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Peak[kW]<br>reduction | DQN<br>DPG | 54.85<br>44.91 | 5.93<br>4.80 | 116.72<br>92.41 | 9.24<br>7.74 | 254.67<br>207.73 | 13.21<br>11.48 |\n| Cost[$/day] | - | 57.79 | 20.90 | 118.03 | 30.01 | 231.27 | 38.76 |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 47.71<br>44.35 | 17.83<br>16.01 | 93.68<br>82.71 | 24.18<br>21.48 | 198.51<br>167.70 | 32.67<br>28.62 |",1]
["|  | Method | Numberofbuildings<br>102048 |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |","|  | Method | BBBIIIIII |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 3.81 | 1.72 | 3.77 | 2.32 | 4.55 | 1.52 |\n| Peak[kW]<br>reduction | DQN<br>DPG | 3.12<br>2.97 | 1.51<br>1.46 | 3.48<br>2.69 | 2.13<br>1.14 | 3.62<br>3.17 | 1.34<br>1.29 |\n| Cost[$/day] | - | 2.31 | 3.09 | 1.93 | 2.23 | 3.13 | 3.85 |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 2.19<br>2.08 | 3.01<br>2.78 | 1.91<br>1.79 | 2.18<br>2.06 | 2.85<br>2.73 | 3.62<br>3.38 |",0]
["|  | Method | Numberofbuildings<br>102048 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 59.79 | 6.12 | 124.72 | 10.28 | 281.88 | 14.32 |\n| Peak[kW]<br>reduction | DQN<br>DPG | 54.85<br>44.91 | 5.93<br>4.80 | 116.72<br>92.41 | 9.24<br>7.74 | 254.67<br>207.73 | 13.21<br>11.48 |","| Cost[$/day] | - | 57.79 | 20.90 | 118.03 | 30.01 | 231.27 | 38.76 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 47.71<br>44.35 | 17.83<br>16.01 | 93.68<br>82.71 | 24.18<br>21.48 | 198.51<br>167.70 | 32.67<br>28.62 |",1]
["|  | Method | Numberofbuildings<br>102048 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) | Mean<br>(µ) | St.dev.<br>(Σ) |  |  |\n| Peak[kW] | - | 59.79 | 6.12 | 124.72 | 10.28 | 281.88 | 14.32 |\n| Peak[kW]<br>reduction | DQN<br>DPG | 54.85<br>44.91 | 5.93<br>4.80 | 116.72<br>92.41 | 9.24<br>7.74 | 254.67<br>207.73 | 13.21<br>11.48 |","| Cost[$/day] | - | 2.31 | 3.09 | 1.93 | 2.23 | 3.13 | 3.85 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Minimized<br>cost[$/day] | DQN<br>DPG | 2.19<br>2.08 | 3.01<br>2.78 | 1.91<br>1.79 | 2.18<br>2.06 | 2.85<br>2.73 | 3.62<br>3.38 |",0]
["|  | NoFBaccount |\n| --- | --- |\n| Neuroticism | -.070 |\n| Extraversion | -.170 |","| Openness | -.301** |\n| --- | --- |\n| Agreeableness | -.118 |\n| Conscientiousness | -.127 |",1]
["|  | NoFBaccount |\n| --- | --- |\n| Neuroticism | -.070 |\n| Extraversion | -.170 |","|  | Usage | Pessimism | Addiction |\n| --- | --- | --- | --- |\n| Neuroticism | .009 | .180 | .426** |\n| Extraversion | .116 | -.048 | -.043 |\n| Openness | -.019 | .004 | .055 |\n| Agreeableness | -.053 | -.111 | -.042 |\n| Conscientiousness | .186 | .025 | -.241* |\n| Usage | 1 | .684** | -.009 |\n| Pessimism | .684** | 1 | .078 |\n| Addiction | -.009 | .078 | 1 |",0]
["|  | NoFBaccount |\n| --- | --- |\n| Neuroticism | -.070 |","| Extraversion | -.170 |\n| --- | --- |\n| Openness | -.301** |\n| Agreeableness | -.118 |\n| Conscientiousness | -.127 |",1]
["|  | NoFBaccount |\n| --- | --- |\n| Neuroticism | -.070 |","| Agreeableness | -.053 | -.111 | -.042 |\n| --- | --- | --- | --- |\n| Conscientiousness | .186 | .025 | -.241* |\n| Usage | 1 | .684** | -.009 |\n| Pessimism | .684** | 1 | .078 |\n| Addiction | -.009 | .078 | 1 |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |","| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |","|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |\n| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |\n| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |\n| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |\n| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",1]
["|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |","| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |\n| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |\n| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["| Labelingtype | variable | HQproﬁle | MQproﬁle |\n| --- | --- | --- | --- |\n| Drawatightboundingbox | t | 42.0sec | 26.0sec |\n| Answertype-1question | t | 1.6sec | 1.6sec |","| Answertype-2question | t | 2.4sec | 2.4sec |\n| --- | --- | --- | --- |\n| Verifymissingobjects | t | 2.6sec | 0.0sec |",1]
["| Labelingtype | variable | HQproﬁle | MQproﬁle |\n| --- | --- | --- | --- |\n| Drawatightboundingbox | t | 42.0sec | 26.0sec |\n| Answertype-1question | t | 1.6sec | 1.6sec |","| Variable | Description |\n| --- | --- |\n| j | theidentiﬁeroftheneighbor |\n| tj | theageoftheneighbor |\n| aj | theattributevalueoftheneighbor |\n| rj | therandomvalueoftheneighbor |",0]
["| Labelingtype | variable | HQproﬁle | MQproﬁle |\n| --- | --- | --- | --- |\n| Drawatightboundingbox | t | 42.0sec | 26.0sec |\n| Answertype-1question | t | 1.6sec | 1.6sec |","| Answertype-2question | t | 2.4sec | 2.4sec |\n| --- | --- | --- | --- |\n| Verifymissingobjects | t | 2.6sec | 0.0sec |",1]
["| Labelingtype | variable | HQproﬁle | MQproﬁle |\n| --- | --- | --- | --- |\n| Drawatightboundingbox | t | 42.0sec | 26.0sec |\n| Answertype-1question | t | 1.6sec | 1.6sec |","| aj | theattributevalueoftheneighbor |\n| --- | --- |\n| rj | therandomvalueoftheneighbor |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jnh01<br>(sat) | t<br>n | 10,2<br>970 | 95,2(3,5)<br>5215(362) | 14,2<br>515 | 2,2<br>100 | 13,2<br>100 | 13<br>100 | 4,2<br>481 | 6,2<br>692 |\n| jnh17<br>(sat) | t<br>n | 3,1<br>477 | 57,3(0,5)<br>4914(189) | 18,8<br>1233 | 1,9<br>132 | 10,1<br>131 | 9,9<br>131 | 1,4<br>216 | 1,5<br>204 |","| jnh201<br>(sat) | t<br>n | 3<br>336 | 79,6(2,1)<br>5222(121) | 3,3<br>168 | 2,6<br>177 | 11<br>180 | 10,7<br>180 | 1,13<br>179 | 1,14<br>178 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jnh301<br>(sat) | t<br>n | 33,4<br>2671 | 121(14,5)<br>6144(1488) | 38,2<br>1541 | 2,2<br>110 | 5,7<br>108 | 5,5<br>108 | 7<br>608 | 8<br>787 |\n| aim-50-1-<br>6-unsat-2 | t<br>n | 0,15<br>1577 | 0,43(0,13)<br>6314(1404) | 0,21<br>1412 | 0,82<br>6774 | 0,49<br>474 | 0,5<br>474 | 0,07<br>691 | 0,08<br>474 |\n| aim-100-1-<br>6-unsat-1 | t<br>n | 0,34<br>3592 | 1,47(1,05)<br>17238(10681) | 1,42<br>7932 | 91<br>697503 | 4,3<br>2338 | 6,3<br>3890 | 0,16<br>1609 | 0,2<br>1229 |\n| aim-200-1-<br>6-sat-1 | t<br>n | 0,76<br>4665 | 1,28(0,47)<br>11714(3236) | 2,1<br>1371 | 1,66<br>4747 | 1,9<br>213 | 1,8<br>213 | 0,24<br>1756 | 0,26<br>1442 |\n| aim-200-1-<br>6-unsat-1 | t<br>n | 1,9<br>12748 | 3,2(2,4)<br>26454(16159) | 5,3<br>28548 | 105,9<br>436746 | 4,8<br>1615 | 8,5<br>3654 | 0,19<br>1255 | 0,23<br>1093 |\n| pret-60-<br>25(unsat) | t<br>n | 1255<br>44,6M | 1385(1385)<br>44,777M(43,773M) | >1h<br>– | 3589<br>95,4M | >1h<br>– | >1h<br>– | 1027<br>42,5M | 1108<br>43,8M |\n| dubois-20<br>(unsat) | t<br>n | 1196<br>44,9M | 1196(1196)<br>44,461M(44,457M) | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | 1004<br>40,5M | 1245<br>43,8M |\n| Averagedcputime | t | 250,3 | 294 | 857,1 | – | – | – | 204,5 | 237 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jnh01<br>(sat) | t<br>n | 10,2<br>970 | 95,2(3,5)<br>5215(362) | 14,2<br>515 | 2,2<br>100 | 13,2<br>100 | 13<br>100 | 4,2<br>481 | 6,2<br>692 |\n| jnh17<br>(sat) | t<br>n | 3,1<br>477 | 57,3(0,5)<br>4914(189) | 18,8<br>1233 | 1,9<br>132 | 10,1<br>131 | 9,9<br>131 | 1,4<br>216 | 1,5<br>204 |","| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |\n| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jnh01<br>(sat) | t<br>n | 10,2<br>970 | 95,2(3,5)<br>5215(362) | 14,2<br>515 | 2,2<br>100 | 13,2<br>100 | 13<br>100 | 4,2<br>481 | 6,2<br>692 |","| jnh17<br>(sat) | t<br>n | 3,1<br>477 | 57,3(0,5)<br>4914(189) | 18,8<br>1233 | 1,9<br>132 | 10,1<br>131 | 9,9<br>131 | 1,4<br>216 | 1,5<br>204 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jnh201<br>(sat) | t<br>n | 3<br>336 | 79,6(2,1)<br>5222(121) | 3,3<br>168 | 2,6<br>177 | 11<br>180 | 10,7<br>180 | 1,13<br>179 | 1,14<br>178 |\n| jnh301<br>(sat) | t<br>n | 33,4<br>2671 | 121(14,5)<br>6144(1488) | 38,2<br>1541 | 2,2<br>110 | 5,7<br>108 | 5,5<br>108 | 7<br>608 | 8<br>787 |\n| aim-50-1-<br>6-unsat-2 | t<br>n | 0,15<br>1577 | 0,43(0,13)<br>6314(1404) | 0,21<br>1412 | 0,82<br>6774 | 0,49<br>474 | 0,5<br>474 | 0,07<br>691 | 0,08<br>474 |\n| aim-100-1-<br>6-unsat-1 | t<br>n | 0,34<br>3592 | 1,47(1,05)<br>17238(10681) | 1,42<br>7932 | 91<br>697503 | 4,3<br>2338 | 6,3<br>3890 | 0,16<br>1609 | 0,2<br>1229 |\n| aim-200-1-<br>6-sat-1 | t<br>n | 0,76<br>4665 | 1,28(0,47)<br>11714(3236) | 2,1<br>1371 | 1,66<br>4747 | 1,9<br>213 | 1,8<br>213 | 0,24<br>1756 | 0,26<br>1442 |\n| aim-200-1-<br>6-unsat-1 | t<br>n | 1,9<br>12748 | 3,2(2,4)<br>26454(16159) | 5,3<br>28548 | 105,9<br>436746 | 4,8<br>1615 | 8,5<br>3654 | 0,19<br>1255 | 0,23<br>1093 |\n| pret-60-<br>25(unsat) | t<br>n | 1255<br>44,6M | 1385(1385)<br>44,777M(43,773M) | >1h<br>– | 3589<br>95,4M | >1h<br>– | >1h<br>– | 1027<br>42,5M | 1108<br>43,8M |\n| dubois-20<br>(unsat) | t<br>n | 1196<br>44,9M | 1196(1196)<br>44,461M(44,457M) | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | 1004<br>40,5M | 1245<br>43,8M |\n| Averagedcputime | t | 250,3 | 294 | 857,1 | – | – | – | 204,5 | 237 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| jnh01<br>(sat) | t<br>n | 10,2<br>970 | 95,2(3,5)<br>5215(362) | 14,2<br>515 | 2,2<br>100 | 13,2<br>100 | 13<br>100 | 4,2<br>481 | 6,2<br>692 |","| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["|  | Euclidean<br>mAPrank-1 | SqEuclidean<br>mAPrank-1 |\n| --- | --- | --- |\n| BoW+KISSME<br>LOMO+XQDA<br>Baseline<br>PAN<br>SVDNet | 12.1725.13<br>17.0430.75<br>44.9965.22<br>51.5171.59<br>56.8076.70 | --<br>--<br>--<br>--<br>-- |\n| TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |","| TriHard(+Aug)<br>AWTL(+Aug) | 56.6574.91<br>57.2875.31 | 0.481.25<br>55.9475.04 |\n| --- | --- | --- |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 54.9074.23<br>58.7477.69 | 0.300.94<br>57.8476.21 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 48.9070.10<br>60.6079.20<br>63.4079.80 | --<br>--<br>63.2779.08 |",1]
["|  | Euclidean<br>mAPrank-1 | SqEuclidean<br>mAPrank-1 |\n| --- | --- | --- |\n| BoW+KISSME<br>LOMO+XQDA<br>Baseline<br>PAN<br>SVDNet | 12.1725.13<br>17.0430.75<br>44.9965.22<br>51.5171.59<br>56.8076.70 | --<br>--<br>--<br>--<br>-- |\n| TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |","|  | Euclidean | SqEuclidean |\n| --- | --- | --- |\n|  | mAPrank-1 | mAPrank-1 |\n| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- |\n| TriHard<br>AWTL | 66.6382.99<br>68.0384.20 | 64.4782.01<br>65.9582.16 |\n| TriHard(+Aug)<br>AWTL(+Aug) | 69.5785.14<br>70.8386.11 | 68.9284.12<br>69.6484.71 |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 71.1386.40<br>71.7686.94 | 0.160.36<br>70.1985.39 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 66.5085.70<br>72.6088.06<br>75.6789.46 | --<br>--<br>74.8187.92 |",0]
["|  | Euclidean<br>mAPrank-1 | SqEuclidean<br>mAPrank-1 |\n| --- | --- | --- |\n| BoW+KISSME<br>LOMO+XQDA<br>Baseline<br>PAN<br>SVDNet | 12.1725.13<br>17.0430.75<br>44.9965.22<br>51.5171.59<br>56.8076.70 | --<br>--<br>--<br>--<br>-- |\n| TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |","| TriHard(+Aug)<br>AWTL(+Aug) | 56.6574.91<br>57.2875.31 | 0.481.25<br>55.9475.04 |\n| --- | --- | --- |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 54.9074.23<br>58.7477.69 | 0.300.94<br>57.8476.21 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 48.9070.10<br>60.6079.20<br>63.4079.80 | --<br>--<br>63.2779.08 |",1]
["|  | Euclidean<br>mAPrank-1 | SqEuclidean<br>mAPrank-1 |\n| --- | --- | --- |\n| BoW+KISSME<br>LOMO+XQDA<br>Baseline<br>PAN<br>SVDNet | 12.1725.13<br>17.0430.75<br>44.9965.22<br>51.5171.59<br>56.8076.70 | --<br>--<br>--<br>--<br>-- |\n| TriHard<br>AWTL | 54.6073.24<br>54.9774.23 | 0.280.89<br>52.3771.45 |","| DNS<br>GatedSiamese<br>PointSet<br>SomaNet<br>PAN | 29.8755.43<br>39.5565.88<br>44.2770.72<br>47.8973.87<br>63.3582.81 | --<br>--<br>--<br>--<br>-- |\n| --- | --- | --- |\n| TriHard<br>AWTL | 66.6382.99<br>68.0384.20 | 64.4782.01<br>65.9582.16 |\n| TriHard(+Aug)<br>AWTL(+Aug) | 69.5785.14<br>70.8386.11 | 68.9284.12<br>69.6484.71 |\n| TriHard(+Aug+HNM)<br>AWTL(+Aug+HNM) | 71.1386.40<br>71.7686.94 | 0.160.36<br>70.1985.39 |\n| DPFL(1-stream)<br>DPFL(2-stream)<br>AWTL(2-stream) | 66.5085.70<br>72.6088.06<br>75.6789.46 | --<br>--<br>74.8187.92 |",0]
["| n | Φ(C)n | LFP | RP |\n| --- | --- | --- | --- |\n| 5 | 3 | 3 | 3.47 |\n| 10 | 13 | 13.47 | 14.92 |\n| 15 | 28 | 29.69 | 33.05 |\n| 20 | 51 | 53.11 | 58.42 |","| 25 | 78 | 82.27 | 90.28 |\n| --- | --- | --- | --- |\n| 30 | 113 | 118.08 | 129.29 |\n| 35 | 153 | 160.31 | 174.77 |\n| 40 | 201 | 209.02 | 227.20 |",1]
["| n | Φ(C)n | LFP | RP |\n| --- | --- | --- | --- |\n| 5 | 3 | 3 | 3.47 |\n| 10 | 13 | 13.47 | 14.92 |\n| 15 | 28 | 29.69 | 33.05 |\n| 20 | 51 | 53.11 | 58.42 |","| n | φ(n)opt | n | φ(n)opt | n | φ(n)opt | n | φ(n)opt |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 65 | 0.644217 | 69 | 0.643676 | 73 | 0.645275 | 77 | 0.645053 |\n| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 |\n| 67 | 0.644240 | 71 | 0.645067 | 75 | 0.645072 | 79 | 0.645524 |\n| 68 | 0.644104 | 72 | 0.645317 | 76 | 0.644715 | 80 | 0.645595 |",0]
["| n | Φ(C)n | LFP | RP |\n| --- | --- | --- | --- |\n| 5 | 3 | 3 | 3.47 |\n| 10 | 13 | 13.47 | 14.92 |\n| 15 | 28 | 29.69 | 33.05 |","| 20 | 51 | 53.11 | 58.42 |\n| --- | --- | --- | --- |\n| 25 | 78 | 82.27 | 90.28 |\n| 30 | 113 | 118.08 | 129.29 |\n| 35 | 153 | 160.31 | 174.77 |\n| 40 | 201 | 209.02 | 227.20 |",1]
["| n | Φ(C)n | LFP | RP |\n| --- | --- | --- | --- |\n| 5 | 3 | 3 | 3.47 |\n| 10 | 13 | 13.47 | 14.92 |\n| 15 | 28 | 29.69 | 33.05 |","| 66 | 0.644281 | 70 | 0.644399 | 74 | 0.645136 | 78 | 0.645234 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 67 | 0.644240 | 71 | 0.645067 | 75 | 0.645072 | 79 | 0.645524 |\n| 68 | 0.644104 | 72 | 0.645317 | 76 | 0.644715 | 80 | 0.645595 |",0]
["| n | \\|E\\| | OPTbound | Random | Distributed<br>Greedy | Centralized<br>Greedy |\n| --- | --- | --- | --- | --- | --- |\n| 1000 | 5000 | 5000 | 3950 | 4837 | 4832 |\n| 1000 | 10000 | 10000 | 6330 | 7625 | 7647 |\n| 1000 | 20000 | 10000 | 8655 | 9677 | 9727 |\n| 500 | 5000 | 5000 | 3951 | 4626 | 4628 |\n| 500 | 10000 | 10000 | 6305 | 7277 | 7296 |\n| 500 | 20000 | 10000 | 8640 | 9443 | 9470 |\n| 2000 | 5000 | 5000 | 3961 | 4953 | 4954 |","| 2000 | 10000 | 10000 | 6345 | 8047 | 8068 |\n| --- | --- | --- | --- | --- | --- |\n| 2000 | 20000 | 10000 | 8665 | 9908 | 9959 |",1]
["| n | \\|E\\| | OPTbound | Random | Distributed<br>Greedy | Centralized<br>Greedy |\n| --- | --- | --- | --- | --- | --- |\n| 1000 | 5000 | 5000 | 3950 | 4837 | 4832 |\n| 1000 | 10000 | 10000 | 6330 | 7625 | 7647 |\n| 1000 | 20000 | 10000 | 8655 | 9677 | 9727 |\n| 500 | 5000 | 5000 | 3951 | 4626 | 4628 |\n| 500 | 10000 | 10000 | 6305 | 7277 | 7296 |\n| 500 | 20000 | 10000 | 8640 | 9443 | 9470 |\n| 2000 | 5000 | 5000 | 3961 | 4953 | 4954 |","| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |\n| JavaSHA1PRNG |  |  |  |  |  |  |  |  |  |\n| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |\n| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |\n| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |\n| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |\n| NISTSP80090ASHA1-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |\n| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |\n| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |\n| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |\n| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",0]
["| n | \\|E\\| | OPTbound | Random | Distributed<br>Greedy | Centralized<br>Greedy |\n| --- | --- | --- | --- | --- | --- |\n| 1000 | 5000 | 5000 | 3950 | 4837 | 4832 |\n| 1000 | 10000 | 10000 | 6330 | 7625 | 7647 |\n| 1000 | 20000 | 10000 | 8655 | 9677 | 9727 |\n| 500 | 5000 | 5000 | 3951 | 4626 | 4628 |\n| 500 | 10000 | 10000 | 6305 | 7277 | 7296 |\n| 500 | 20000 | 10000 | 8640 | 9443 | 9470 |","| 2000 | 5000 | 5000 | 3961 | 4953 | 4954 |\n| --- | --- | --- | --- | --- | --- |\n| 2000 | 10000 | 10000 | 6345 | 8047 | 8068 |\n| 2000 | 20000 | 10000 | 8665 | 9908 | 9959 |",1]
["| n | \\|E\\| | OPTbound | Random | Distributed<br>Greedy | Centralized<br>Greedy |\n| --- | --- | --- | --- | --- | --- |\n| 1000 | 5000 | 5000 | 3950 | 4837 | 4832 |\n| 1000 | 10000 | 10000 | 6330 | 7625 | 7647 |\n| 1000 | 20000 | 10000 | 8655 | 9677 | 9727 |\n| 500 | 5000 | 5000 | 3951 | 4626 | 4628 |\n| 500 | 10000 | 10000 | 6305 | 7277 | 7296 |\n| 500 | 20000 | 10000 | 8640 | 9443 | 9470 |","| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",0]
["| Features | OnClaimRecall |\n| --- | --- |\n| Title/Claimreview | 0.72 |\n| PageContent | 0.85 |\n| Topicmatch | 0.62 |","| Thematictopicmatch | 0.55 |\n| --- | --- |\n| Allfeatures | 0.88 |",1]
["| Features | OnClaimRecall |\n| --- | --- |\n| Title/Claimreview | 0.72 |\n| PageContent | 0.85 |\n| Topicmatch | 0.62 |","| Features | OnClaim | OnTheme | Irrelevant |\n| --- | --- | --- | --- |\n| Title/Claimreview | 0.24(91) | 0.23(99) | 0.52(202) |\n| PageContent | 0.25(128) | 0.30(188) | 0.43(219) |\n| Topics | 0.10(67) | 0.25(153) | 0.63(310) |\n| Thematictopics | 0.11(65) | 0.35(182) | 0.53(257) |\n| Allfeatures | 0.23(130) | 0.41(232) | 0.35(198) |",0]
["| Features | OnClaimRecall |\n| --- | --- |\n| Title/Claimreview | 0.72 |\n| PageContent | 0.85 |\n| Topicmatch | 0.62 |","| Thematictopicmatch | 0.55 |\n| --- | --- |\n| Allfeatures | 0.88 |",1]
["| Features | OnClaimRecall |\n| --- | --- |\n| Title/Claimreview | 0.72 |\n| PageContent | 0.85 |\n| Topicmatch | 0.62 |","| Thematictopics | 0.11(65) | 0.35(182) | 0.53(257) |\n| --- | --- | --- | --- |\n| Allfeatures | 0.23(130) | 0.41(232) | 0.35(198) |",0]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |","| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",1]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |","| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |","| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",1]
["| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |","| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |\n| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |\n| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Architecture | #classes | STL-10 | CIFAR-10(400) | CIFAR-10 | Caltech-101 |\n| --- | --- | --- | --- | --- | --- |\n| 32c5-32c5-64f | 8000 | 63.8±0.4 | 66.1±0.4 | 71.3 | 78.2±0.6 |\n| 64c5-64c5-128f | 8000 | 67.1±0.3 | 69.7±0.3 | 75.7 | 79.8±0.5 |\n| 64c7-64c5-128f | 8000 | 66.3±0.4 | 69.5±0.3 | 75.0 | 79.4±0.7 |\n| 64c5-64c5-64c5-128f | 8000 | 68.5±0.3 | 70.9±0.3 | 77.0 | 82.2±0.7 |\n| 64c5-64c5-64c5-64c5-128f | 8000 | 64.7±0.5 | 67.5±0.3 | 75.2 | 75.7±0.4 |","| 128c5-64c5-128f | 8000 | 67.2±0.4 | 69.9±0.2 | 76.1 | 80.1±0.5 |\n| --- | --- | --- | --- | --- | --- |\n| 64c5-256c5-128f | 8000 | 69.2±0.3 | 71.7±0.3 | 77.9 | 81.6±0.5 |\n| 64c5-64c5-512f | 8000 | 69.0±0.4 | 71.7±0.2 | 79.3 | 82.9±0.4 |\n| 128c5-256c5-512f | 8000 | 71.2±0.3 | 73.9±0.3 | 81.5 | 84.3±0.6 |\n| 128c5-256c5-512f | 16000 | 71.9±0.3 | 74.3±0.3 | 81.4 | 84.6±0.6 |\n| 64c5-128c5-256c5-512f | 16000 | 72.8±0.4 | 75.3±0.3 | 82.0 | 85.5±0.4 |\n| 92c5-256c5-512c5-1024f | 16000 | 73.9±0.4 | 76.0±0.2 | 83.6 | 86.9±0.6 |",1]
["| Architecture | #classes | STL-10 | CIFAR-10(400) | CIFAR-10 | Caltech-101 |\n| --- | --- | --- | --- | --- | --- |\n| 32c5-32c5-64f | 8000 | 63.8±0.4 | 66.1±0.4 | 71.3 | 78.2±0.6 |\n| 64c5-64c5-128f | 8000 | 67.1±0.3 | 69.7±0.3 | 75.7 | 79.8±0.5 |\n| 64c7-64c5-128f | 8000 | 66.3±0.4 | 69.5±0.3 | 75.0 | 79.4±0.7 |\n| 64c5-64c5-64c5-128f | 8000 | 68.5±0.3 | 70.9±0.3 | 77.0 | 82.2±0.7 |\n| 64c5-64c5-64c5-64c5-128f | 8000 | 64.7±0.5 | 67.5±0.3 | 75.2 | 75.7±0.4 |","| NumberofClasses | GLRR-F | GLRR-21 | KGLRR-ccp | LRR | SSC | SCGSM | SMCE |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.8726 | 0.6371 | 0.9114 | 0.5360 | 0.6066 | 0.5928 | 0.6108 |\n| 20 | 0.7627 | 0.5144 | 0.8126 | 0.4290 | 0.3869 | 0.4035 | 0.4246 |\n| 30 | 0.6664 | 0.4294 | 0.6995 | 0.3014 | 0.3318 | 0.4550 | 0.3810 |\n| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["| Architecture | #classes | STL-10 | CIFAR-10(400) | CIFAR-10 | Caltech-101 |\n| --- | --- | --- | --- | --- | --- |\n| 32c5-32c5-64f | 8000 | 63.8±0.4 | 66.1±0.4 | 71.3 | 78.2±0.6 |\n| 64c5-64c5-128f | 8000 | 67.1±0.3 | 69.7±0.3 | 75.7 | 79.8±0.5 |\n| 64c7-64c5-128f | 8000 | 66.3±0.4 | 69.5±0.3 | 75.0 | 79.4±0.7 |\n| 64c5-64c5-64c5-128f | 8000 | 68.5±0.3 | 70.9±0.3 | 77.0 | 82.2±0.7 |\n| 64c5-64c5-64c5-64c5-128f | 8000 | 64.7±0.5 | 67.5±0.3 | 75.2 | 75.7±0.4 |\n| 128c5-64c5-128f | 8000 | 67.2±0.4 | 69.9±0.2 | 76.1 | 80.1±0.5 |\n| 64c5-256c5-128f | 8000 | 69.2±0.3 | 71.7±0.3 | 77.9 | 81.6±0.5 |\n| 64c5-64c5-512f | 8000 | 69.0±0.4 | 71.7±0.2 | 79.3 | 82.9±0.4 |\n| 128c5-256c5-512f | 8000 | 71.2±0.3 | 73.9±0.3 | 81.5 | 84.3±0.6 |\n| 128c5-256c5-512f | 16000 | 71.9±0.3 | 74.3±0.3 | 81.4 | 84.6±0.6 |","| 64c5-128c5-256c5-512f | 16000 | 72.8±0.4 | 75.3±0.3 | 82.0 | 85.5±0.4 |\n| --- | --- | --- | --- | --- | --- |\n| 92c5-256c5-512c5-1024f | 16000 | 73.9±0.4 | 76.0±0.2 | 83.6 | 86.9±0.6 |",1]
["| Architecture | #classes | STL-10 | CIFAR-10(400) | CIFAR-10 | Caltech-101 |\n| --- | --- | --- | --- | --- | --- |\n| 32c5-32c5-64f | 8000 | 63.8±0.4 | 66.1±0.4 | 71.3 | 78.2±0.6 |\n| 64c5-64c5-128f | 8000 | 67.1±0.3 | 69.7±0.3 | 75.7 | 79.8±0.5 |\n| 64c7-64c5-128f | 8000 | 66.3±0.4 | 69.5±0.3 | 75.0 | 79.4±0.7 |\n| 64c5-64c5-64c5-128f | 8000 | 68.5±0.3 | 70.9±0.3 | 77.0 | 82.2±0.7 |\n| 64c5-64c5-64c5-64c5-128f | 8000 | 64.7±0.5 | 67.5±0.3 | 75.2 | 75.7±0.4 |\n| 128c5-64c5-128f | 8000 | 67.2±0.4 | 69.9±0.2 | 76.1 | 80.1±0.5 |\n| 64c5-256c5-128f | 8000 | 69.2±0.3 | 71.7±0.3 | 77.9 | 81.6±0.5 |\n| 64c5-64c5-512f | 8000 | 69.0±0.4 | 71.7±0.2 | 79.3 | 82.9±0.4 |\n| 128c5-256c5-512f | 8000 | 71.2±0.3 | 73.9±0.3 | 81.5 | 84.3±0.6 |\n| 128c5-256c5-512f | 16000 | 71.9±0.3 | 74.3±0.3 | 81.4 | 84.6±0.6 |","| 40 | 0.6519 | 0.3654 | 0.6387 | 0.1687 | 0.2881 | 0.3679 | 0.3737 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 50 | 0.5913 | 0.3395 | 0.5884 | 0.1451 | 0.2614 | 0.3137 | 0.3608 |",0]
["|  | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| IDT+FV | 85.9 | 57.2 |\n| IDT+HSV | 87.9 | 61.1 |","| MoFAP | 88.3 | 61.7 |\n| --- | --- | --- |\n| TDD+FV | 90.3 | 63.2 |\n| Two-stream | 88 | 59.4 |\n| TSN | 94 | 68 |\n| TSNCorrnet(ours) | 94.3 | 69 |",1]
["|  | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| IDT+FV | 85.9 | 57.2 |\n| IDT+HSV | 87.9 | 61.1 |","|  | VGG-F | CaﬀeNet | GoogLeNet | VGG-16 | VGG-19 | ResNet-152 | Mean |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline | 12.62 | 12.9 | 10.29 | 8.62 | 8.40 | 8.99 | 10.30 |\n| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |\n| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",0]
["|  | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| IDT+FV | 85.9 | 57.2 |\n| IDT+HSV | 87.9 | 61.1 |\n| MoFAP | 88.3 | 61.7 |\n| TDD+FV | 90.3 | 63.2 |","| Two-stream | 88 | 59.4 |\n| --- | --- | --- |\n| TSN | 94 | 68 |\n| TSNCorrnet(ours) | 94.3 | 69 |",1]
["|  | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| IDT+FV | 85.9 | 57.2 |\n| IDT+HSV | 87.9 | 61.1 |\n| MoFAP | 88.3 | 61.7 |\n| TDD+FV | 90.3 | 63.2 |","| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",0]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.058 | −3<br>10 | 0.50 | 0.3195 |","| 0.048 | 10 | 0.50 | 0.2778 |\n| --- | --- | --- | --- |\n| 0.134 | 10 | 0.75 | 0.5710 |\n| 0.126 | 10 | 0.75 | 0.5464 |",1]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.058 | −3<br>10 | 0.50 | 0.3195 |","| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.026 | −3<br>10 | 0.50 | 0.1739 |\n| 0.018 | 10 | 0.50 | 0.1301 |\n| 0.068 | 10 | 0.75 | 0.3584 |\n| 0.054 | 10 | 0.75 | 0.3032 |",0]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.058 | −3<br>10 | 0.50 | 0.3195 |\n| 0.048 | 10 | 0.50 | 0.2778 |","| 0.134 | 10 | 0.75 | 0.5710 |\n| --- | --- | --- | --- |\n| 0.126 | 10 | 0.75 | 0.5464 |",1]
["| p | TargetFER | CompressionRate | SourceEntropy |\n| --- | --- | --- | --- |\n| 0.058 | −3<br>10 | 0.50 | 0.3195 |\n| 0.048 | 10 | 0.50 | 0.2778 |","| 0.018 | 10 | 0.50 | 0.1301 |\n| --- | --- | --- | --- |\n| 0.068 | 10 | 0.75 | 0.3584 |\n| 0.054 | 10 | 0.75 | 0.3032 |",0]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 17 | 5 | 1 | - | - | 10 |\n| SL | 4 | 24 | 2 | - | 1 | 19 |\n| SR | 3 | - | 29 | - | 1 | 44 |","| BH | - | 1 | - | 20 | 1 | 19 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SH | 1 | - | - | 1 | 23 | 32 |\n| Del | - | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",1]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 17 | 5 | 1 | - | - | 10 |\n| SL | 4 | 24 | 2 | - | 1 | 19 |\n| SR | 3 | - | 29 | - | 1 | 44 |","|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 15 | 4 | - | 6 | 1 | 1 |\n| SL | 2 | 17 | 1 | - | 9 | 15 |\n| SR | 2 | 1 | 27 | 1 | 5 | 8 |\n| BH | 5 | - | - | 14 | 2 | 6 |\n| SH | - | 7 | 4 | - | 9 | 12 |\n| Del | 1 | 2 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",0]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 17 | 5 | 1 | - | - | 10 |\n| SL | 4 | 24 | 2 | - | 1 | 19 |\n| SR | 3 | - | 29 | - | 1 | 44 |\n| BH | - | 1 | - | 20 | 1 | 19 |","| SH | 1 | - | - | 1 | 23 | 32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Del | - | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",1]
["|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 17 | 5 | 1 | - | - | 10 |\n| SL | 4 | 24 | 2 | - | 1 | 19 |\n| SR | 3 | - | 29 | - | 1 | 44 |\n| BH | - | 1 | - | 20 | 1 | 19 |","| SL | 2 | 17 | 1 | - | 9 | 15 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SR | 2 | 1 | 27 | 1 | 5 | 8 |\n| BH | 5 | - | - | 14 | 2 | 6 |\n| SH | - | 7 | 4 | - | 9 | 12 |\n| Del | 1 | 2 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 42 |",0]
["| Architecture | Architecturedetails | Params.<br>6<br>[×10] | Av.<br>GAP |\n| --- | --- | --- | --- |\n| ROIFC<br>AVFusion | FCLayers:12K-12K-12K,DO:0.3<br>(seeSec.??) | 502<br>(seeSec.??) | 81.84<br>81.8 |","| GatedResnet8K<br>GatedResnet10K<br>GatedResnet10K | 3ResnetLayers:8K-8K-8K-Gated,DO0.4<br>2(2-conv)ResnetLayers:10K-10K-Gated,DO0.3<br>2(2-conv)ResnetLayers:10K-10K-Gated,DO0.4 | 238<br>238<br>238 | 82.89<br>82.8<br>82.8 |\n| --- | --- | --- | --- |\n| GatedFC10K<br>GatedFC10K<br>GatedFC12K<br>GatedFC12K | 3FCLayers:10K-10K-10K-Gated,DO:0.3<br>3FCLayers:10K-10K-10K-Gated,DO:0.4<br>3FCLayers:12K-12K-12K-Gated,DO:0.3<br>3FCLayers:12K-12K-12K-Gated,DO:0.4 | 358<br>358<br>502<br>502 | 82.49<br>82.77<br>82.41<br>82.72 |\n| LSTM<br>GRU | 2layers,1024cells<br>2layers,1200cells | 31<br>34 | 81.88<br>82.15 |\n| GatedBOW<br>Non-GatedBOW<br>GatednetVLAD<br>GatednetRVLAD<br>GatednetFV | 4096Clusters<br>8000Clusters<br>256Clusters<br>256Clusters<br>128Clusters | 39<br>17<br>308<br>307<br>308 | 81.97<br>81.88<br>82.89<br>82.95<br>82.37 |",1]
["| Architecture | Architecturedetails | Params.<br>6<br>[×10] | Av.<br>GAP |\n| --- | --- | --- | --- |\n| ROIFC<br>AVFusion | FCLayers:12K-12K-12K,DO:0.3<br>(seeSec.??) | 502<br>(seeSec.??) | 81.84<br>81.8 |","| Structure | CS |\n| --- | --- |\n| 1LSTMlayer | 71.8 |\n| 2LSTMlayers | 75.2 |\n| 3LSTMlayers | 76.0 |\n| 4LSTMlayers | 76.0 |\n| 5LSTMlayers | 76.7 |\n| 6LSTMlayers | 76.7 |\n| 5LSTMlayers | 79.4 |\n| ResNet-18 | 86.1 |\n| ResNet-50 | 87.5 |\n| ResNet-101 | 87.3 |\n| ResNet-152 | 87.2 |\n| ResNet-50+8layers | 88.2 |",0]
["| Architecture | Architecturedetails | Params.<br>6<br>[×10] | Av.<br>GAP |\n| --- | --- | --- | --- |\n| ROIFC<br>AVFusion | FCLayers:12K-12K-12K,DO:0.3<br>(seeSec.??) | 502<br>(seeSec.??) | 81.84<br>81.8 |\n| GatedResnet8K<br>GatedResnet10K<br>GatedResnet10K | 3ResnetLayers:8K-8K-8K-Gated,DO0.4<br>2(2-conv)ResnetLayers:10K-10K-Gated,DO0.3<br>2(2-conv)ResnetLayers:10K-10K-Gated,DO0.4 | 238<br>238<br>238 | 82.89<br>82.8<br>82.8 |\n| GatedFC10K<br>GatedFC10K<br>GatedFC12K<br>GatedFC12K | 3FCLayers:10K-10K-10K-Gated,DO:0.3<br>3FCLayers:10K-10K-10K-Gated,DO:0.4<br>3FCLayers:12K-12K-12K-Gated,DO:0.3<br>3FCLayers:12K-12K-12K-Gated,DO:0.4 | 358<br>358<br>502<br>502 | 82.49<br>82.77<br>82.41<br>82.72 |","| LSTM<br>GRU | 2layers,1024cells<br>2layers,1200cells | 31<br>34 | 81.88<br>82.15 |\n| --- | --- | --- | --- |\n| GatedBOW<br>Non-GatedBOW<br>GatednetVLAD<br>GatednetRVLAD<br>GatednetFV | 4096Clusters<br>8000Clusters<br>256Clusters<br>256Clusters<br>128Clusters | 39<br>17<br>308<br>307<br>308 | 81.97<br>81.88<br>82.89<br>82.95<br>82.37 |",1]
["| Architecture | Architecturedetails | Params.<br>6<br>[×10] | Av.<br>GAP |\n| --- | --- | --- | --- |\n| ROIFC<br>AVFusion | FCLayers:12K-12K-12K,DO:0.3<br>(seeSec.??) | 502<br>(seeSec.??) | 81.84<br>81.8 |\n| GatedResnet8K<br>GatedResnet10K<br>GatedResnet10K | 3ResnetLayers:8K-8K-8K-Gated,DO0.4<br>2(2-conv)ResnetLayers:10K-10K-Gated,DO0.3<br>2(2-conv)ResnetLayers:10K-10K-Gated,DO0.4 | 238<br>238<br>238 | 82.89<br>82.8<br>82.8 |\n| GatedFC10K<br>GatedFC10K<br>GatedFC12K<br>GatedFC12K | 3FCLayers:10K-10K-10K-Gated,DO:0.3<br>3FCLayers:10K-10K-10K-Gated,DO:0.4<br>3FCLayers:12K-12K-12K-Gated,DO:0.3<br>3FCLayers:12K-12K-12K-Gated,DO:0.4 | 358<br>358<br>502<br>502 | 82.49<br>82.77<br>82.41<br>82.72 |","| ResNet-18 | 86.1 |\n| --- | --- |\n| ResNet-50 | 87.5 |\n| ResNet-101 | 87.3 |\n| ResNet-152 | 87.2 |\n| ResNet-50+8layers | 88.2 |",0]
["| L | GraphQMF | nonzeroDCgraphBior | zeroDCgraphBior |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | SNR(dB) | Θ | SNR(dB) | Θ | SNR(dB) | Θ |\n| 4 | 32.20 | 0.98 | 286.84 | 0.88 | 286.54 | 0.70 |\n| 8 | 32.25 | 0.98 | 282.89 | 0.87 | 282.71 | 0.66 |\n| 10 | 42.17 | 1.00 | 270.05 | 0.81 | 270.00 | 0.65 |","| 14 | 48.09 | 1.00 | 230.83 | 0.85 | 230.73 | 0.64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 16 | 44.78 | 0.99 | 222.08 | 0.94 | 222.05 | 0.64 |\n| 18 | 45.23 | 0.99 | 190.53 | 0.92 | 190.43 | 0.63 |\n| 20 | 54.61 | 1.00 | 170.78 | 0.94 | 170.68 | 0.63 |",1]
["| L | GraphQMF | nonzeroDCgraphBior | zeroDCgraphBior |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | SNR(dB) | Θ | SNR(dB) | Θ | SNR(dB) | Θ |\n| 4 | 32.20 | 0.98 | 286.84 | 0.88 | 286.54 | 0.70 |\n| 8 | 32.25 | 0.98 | 282.89 | 0.87 | 282.71 | 0.66 |\n| 10 | 42.17 | 1.00 | 270.05 | 0.81 | 270.00 | 0.65 |","|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| L | GraphQMF | nonzeroDCgraphBior | zeroDCgraphBior |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | SNR(dB) | Θ | SNR(dB) | Θ | SNR(dB) | Θ |","| 4 | 32.20 | 0.98 | 286.84 | 0.88 | 286.54 | 0.70 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | 32.25 | 0.98 | 282.89 | 0.87 | 282.71 | 0.66 |\n| 10 | 42.17 | 1.00 | 270.05 | 0.81 | 270.00 | 0.65 |\n| 14 | 48.09 | 1.00 | 230.83 | 0.85 | 230.73 | 0.64 |\n| 16 | 44.78 | 0.99 | 222.08 | 0.94 | 222.05 | 0.64 |\n| 18 | 45.23 | 0.99 | 190.53 | 0.92 | 190.43 | 0.63 |\n| 20 | 54.61 | 1.00 | 170.78 | 0.94 | 170.68 | 0.63 |",1]
["| L | GraphQMF | nonzeroDCgraphBior | zeroDCgraphBior |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | SNR(dB) | Θ | SNR(dB) | Θ | SNR(dB) | Θ |","| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| --- | --- | --- | --- | --- | --- |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |\n| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1320±0.0161 | 0.3034 | 211 | - |","| GKKM | 0.1325±0.0150 | 1.8930 | 15 | 0.7694 |\n| --- | --- | --- | --- | --- |\n| M=5,µ=0.2500,σ=0.10840 |  |  |  |  |\n| CCBS<br>GCBS | 0.1358±0.0154<br>0.1585±0.0229 | 0.0550<br>0.0227 | 7<br>5 | 0.2441<br>0.2212 |\n| M=10,µ=0.1111,σ=0.05890 |  |  |  |  |\n| CCBS<br>GCBS | 0.1224±0.0125<br>0.1323±0.0158 | 0.0740<br>0.0172 | 14<br>12 | 0.1110<br>0.1076 |\n| M=20,µ=0.0526,σ=0.03410 |  |  |  |  |\n| CCBS<br>GCBS | 0.1132±0.0118<br>0.1179±0.0131 | 0.0731<br>0.0204 | 22<br>20 | 0.0506<br>0.0491 |\n| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1320±0.0161 | 0.3034 | 211 | - |","| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0442±0.0011 | 0.2499 | 211 | - |\n| GKKM | 0.1883±0.0317 | 1.8460 | 14 | 0.7969 |\n| M=5,µ=0.2500,σ=0.10340 |  |  |  |  |\n| CCBS<br>GCBS | 0.2045±0.0375<br>0.2441±0.0500 | 0.1001<br>0.0374 | 7<br>5 | 0.2490<br>0.2097 |\n| M=10,µ=0.1111,σ=0.05240 |  |  |  |  |\n| CCBS<br>GCBS | 0.1430±0.0192<br>0.1505±0.0209 | 0.0702<br>0.0191 | 14<br>13 | 0.1079<br>0.1078 |\n| M=20,µ=0.0526,σ=0.02730 |  |  |  |  |\n| CCBS<br>GCBS | 0.0907±0.0069<br>0.0941±0.0081 | 0.2874<br>0.0245 | 24<br>21 | 0.0517<br>0.0492 |\n| M=30,µ=0.0345,σ=0.01820 |  |  |  |  |\n| CCBS<br>GCBS | 0.0705±0.0035<br>0.0674±0.0034 | 0.6403<br>0.0162 | 34<br>32 | 0.0339<br>0.0331 |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1320±0.0161 | 0.3034 | 211 | - |\n| GKKM | 0.1325±0.0150 | 1.8930 | 15 | 0.7694 |\n| M=5,µ=0.2500,σ=0.10840 |  |  |  |  |\n| CCBS<br>GCBS | 0.1358±0.0154<br>0.1585±0.0229 | 0.0550<br>0.0227 | 7<br>5 | 0.2441<br>0.2212 |\n| M=10,µ=0.1111,σ=0.05890 |  |  |  |  |\n| CCBS<br>GCBS | 0.1224±0.0125<br>0.1323±0.0158 | 0.0740<br>0.0172 | 14<br>12 | 0.1110<br>0.1076 |\n| M=20,µ=0.0526,σ=0.03410 |  |  |  |  |","| CCBS<br>GCBS | 0.1132±0.0118<br>0.1179±0.0131 | 0.0731<br>0.0204 | 22<br>20 | 0.0506<br>0.0491 |\n| --- | --- | --- | --- | --- |\n| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1320±0.0161 | 0.3034 | 211 | - |\n| GKKM | 0.1325±0.0150 | 1.8930 | 15 | 0.7694 |\n| M=5,µ=0.2500,σ=0.10840 |  |  |  |  |\n| CCBS<br>GCBS | 0.1358±0.0154<br>0.1585±0.0229 | 0.0550<br>0.0227 | 7<br>5 | 0.2441<br>0.2212 |\n| M=10,µ=0.1111,σ=0.05890 |  |  |  |  |\n| CCBS<br>GCBS | 0.1224±0.0125<br>0.1323±0.0158 | 0.0740<br>0.0172 | 14<br>12 | 0.1110<br>0.1076 |\n| M=20,µ=0.0526,σ=0.03410 |  |  |  |  |","| CCBS<br>GCBS | 0.2045±0.0375<br>0.2441±0.0500 | 0.1001<br>0.0374 | 7<br>5 | 0.2490<br>0.2097 |\n| --- | --- | --- | --- | --- |\n| M=10,µ=0.1111,σ=0.05240 |  |  |  |  |\n| CCBS<br>GCBS | 0.1430±0.0192<br>0.1505±0.0209 | 0.0702<br>0.0191 | 14<br>13 | 0.1079<br>0.1078 |\n| M=20,µ=0.0526,σ=0.02730 |  |  |  |  |\n| CCBS<br>GCBS | 0.0907±0.0069<br>0.0941±0.0081 | 0.2874<br>0.0245 | 24<br>21 | 0.0517<br>0.0492 |\n| M=30,µ=0.0345,σ=0.01820 |  |  |  |  |\n| CCBS<br>GCBS | 0.0705±0.0035<br>0.0674±0.0034 | 0.6403<br>0.0162 | 34<br>32 | 0.0339<br>0.0331 |",0]
["| ph | Iofptl |\n| --- | --- |\n| 0.55 | 0.30to0.40 |\n| 0.60 | 0.20to0.30 |\n| 0.65 | 0.15to0.24 |\n| 0.70 | 0.09to0.17 |","| 0.75 | 0.05to0.12 |\n| --- | --- |\n| 0.80 | 0.03to0.09 |\n| 0.85 | 0.01to0.07 |\n| 0.90 | 0.003to0.04 |\n| 0.95 | 0.001to0.03 |",1]
["| ph | Iofptl |\n| --- | --- |\n| 0.55 | 0.30to0.40 |\n| 0.60 | 0.20to0.30 |\n| 0.65 | 0.15to0.24 |\n| 0.70 | 0.09to0.17 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| ph | Iofptl |\n| --- | --- |\n| 0.55 | 0.30to0.40 |\n| 0.60 | 0.20to0.30 |","| 0.65 | 0.15to0.24 |\n| --- | --- |\n| 0.70 | 0.09to0.17 |\n| 0.75 | 0.05to0.12 |\n| 0.80 | 0.03to0.09 |\n| 0.85 | 0.01to0.07 |\n| 0.90 | 0.003to0.04 |\n| 0.95 | 0.001to0.03 |",1]
["| ph | Iofptl |\n| --- | --- |\n| 0.55 | 0.30to0.40 |\n| 0.60 | 0.20to0.30 |","| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| WN18 |\n| --- |\n| MRH10Time |","| 19994.04m34s |\n| --- |\n| 22894.24m25s |\n| 20794.12m32s |",1]
["| WN18 |\n| --- |\n| MRH10Time |","| IDNetworkstructureAveragePERmin-maxPERparamsops |\n| --- |\n| 1DNN2000+2x100022.0221.86-22.116.9M6.9M |\n| 2DNN2000+4x100021.8721.68-21.988.9M8.9M |\n| 3CNNLWS+2x100020.1719.92-20.415.4M10.7M |\n| 4CNNFWS+2x100020.3120.16-20.588.5M13.6M |\n| 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |\n| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M |",0]
["| WN18 |\n| --- |\n| MRH10Time |\n| 19994.04m34s |","| 22894.24m25s |\n| --- |\n| 20794.12m32s |",1]
["| WN18 |\n| --- |\n| MRH10Time |\n| 19994.04m34s |","| 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |\n| --- |\n| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M |",0]
["| Lexicon | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- |\n| Glove | 73.7 | 76.7 | 60.5 | 89.7 | 67.0 | 79.6 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 1.4<br>0.0<br>2.2<br>–3.6 | 2.9<br>2.7<br>7.5<br>–1.0 | –1.2<br>0.5<br>0.7<br>–5.3 | 5.1<br>5.1<br>2.6<br>2.6 | –0.4<br>–12.4<br>–8.4<br>–7.0 | 1.6<br>0.7<br>0.5<br>0.0 |\n| SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |\n| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |","| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 7.0<br>3.6<br>6.7<br>1.8 | 6.1<br>6.4<br>10.2<br>4.0 | 2.0<br>0.6<br>2.3<br>0.0 | 13.1<br>7.3<br>4.4<br>4.4 | 5.3<br>–1.7<br>–0.6<br>–0.6 | 1.1<br>0.0<br>0.2<br>0.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Multi | 75.8 | 75.5 | 68.1 | 84.0 | 45.5 | 81.0 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 3.8<br>1.2<br>2.9<br>1.8 | 4.0<br>0.2<br>8.5<br>4.0 | 6.0<br>2.2<br>4.3<br>0.0 | 12.0<br>6.6<br>6.6<br>4.4 | 4.3<br>–12.3<br>–10.6<br>–0.6 | 0.6<br>1.4<br>1.4<br>0.2 |",1]
["| Lexicon | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- |\n| Glove | 73.7 | 76.7 | 60.5 | 89.7 | 67.0 | 79.6 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 1.4<br>0.0<br>2.2<br>–3.6 | 2.9<br>2.7<br>7.5<br>–1.0 | –1.2<br>0.5<br>0.7<br>–5.3 | 5.1<br>5.1<br>2.6<br>2.6 | –0.4<br>–12.4<br>–8.4<br>–7.0 | 1.6<br>0.7<br>0.5<br>0.0 |\n| SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |\n| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |","| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |\n| RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 |\n| WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |\n|  | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 |  |",0]
["| Lexicon | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- |\n| Glove | 73.7 | 76.7 | 60.5 | 89.7 | 67.0 | 79.6 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 1.4<br>0.0<br>2.2<br>–3.6 | 2.9<br>2.7<br>7.5<br>–1.0 | –1.2<br>0.5<br>0.7<br>–5.3 | 5.1<br>5.1<br>2.6<br>2.6 | –0.4<br>–12.4<br>–8.4<br>–7.0 | 1.6<br>0.7<br>0.5<br>0.0 |\n| SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |\n| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |","| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 7.0<br>3.6<br>6.7<br>1.8 | 6.1<br>6.4<br>10.2<br>4.0 | 2.0<br>0.6<br>2.3<br>0.0 | 13.1<br>7.3<br>4.4<br>4.4 | 5.3<br>–1.7<br>–0.6<br>–0.6 | 1.1<br>0.0<br>0.2<br>0.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Multi | 75.8 | 75.5 | 68.1 | 84.0 | 45.5 | 81.0 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 3.8<br>1.2<br>2.9<br>1.8 | 4.0<br>0.2<br>8.5<br>4.0 | 6.0<br>2.2<br>4.3<br>0.0 | 12.0<br>6.6<br>6.6<br>4.4 | 4.3<br>–12.3<br>–10.6<br>–0.6 | 0.6<br>1.4<br>1.4<br>0.2 |",1]
["| Lexicon | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- |\n| Glove | 73.7 | 76.7 | 60.5 | 89.7 | 67.0 | 79.6 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 1.4<br>0.0<br>2.2<br>–3.6 | 2.9<br>2.7<br>7.5<br>–1.0 | –1.2<br>0.5<br>0.7<br>–5.3 | 5.1<br>5.1<br>2.6<br>2.6 | –0.4<br>–12.4<br>–8.4<br>–7.0 | 1.6<br>0.7<br>0.5<br>0.0 |\n| SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |\n| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |","| WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 |  |",0]
["| HWNetEnhancements | mAP |\n| --- | --- |\n| HWNet | 0.6336 |\n| HWNet+ResNet(R) | 0.7198 |\n| HWNet+R+Multi-Scale-ROI(M) | 0.8457 |","| HWNet+R+M+Elastic-Distortion(E) | 0.8574 |\n| --- | --- |\n| HWNet+R+M+E+IIIT-HWS(S) | 0.8973 |\n| HWNet+R+M+E+S+Test-Aug.(HWNetv2) | 0.9065 |",1]
["| HWNetEnhancements | mAP |\n| --- | --- |\n| HWNet | 0.6336 |\n| HWNet+ResNet(R) | 0.7198 |\n| HWNet+R+Multi-Scale-ROI(M) | 0.8457 |","| h | Compression | Distortion |\n| --- | --- | --- |\n| 1 | 49 | 0.135196 |\n| 2 | 24.5 | 0.124725 |\n| 3 | 16.33333333 | 0.0947032 |\n| 5 | 9.8 | 0.0354035 |\n| 7 | 7 | 0.031808 |\n| 20 | 2.45 | 0.0149272 |",0]
["| HWNetEnhancements | mAP |\n| --- | --- |\n| HWNet | 0.6336 |\n| HWNet+ResNet(R) | 0.7198 |\n| HWNet+R+Multi-Scale-ROI(M) | 0.8457 |\n| HWNet+R+M+Elastic-Distortion(E) | 0.8574 |","| HWNet+R+M+E+IIIT-HWS(S) | 0.8973 |\n| --- | --- |\n| HWNet+R+M+E+S+Test-Aug.(HWNetv2) | 0.9065 |",1]
["| HWNetEnhancements | mAP |\n| --- | --- |\n| HWNet | 0.6336 |\n| HWNet+ResNet(R) | 0.7198 |\n| HWNet+R+Multi-Scale-ROI(M) | 0.8457 |\n| HWNet+R+M+Elastic-Distortion(E) | 0.8574 |","| 7 | 7 | 0.031808 |\n| --- | --- | --- |\n| 20 | 2.45 | 0.0149272 |",0]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 1e-56* | - | - | - |","| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |\n| --- | --- | --- | --- | --- |\n| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |\n| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |",1]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 1e-56* | - | - | - |","|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 5.6e-09* | - | - | - |\n| TermRetrieval | 1.2e-08* | 0.88 | - | - |\n| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |\n| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 |",0]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 1e-56* | - | - | - |\n| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |","| SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - |\n| --- | --- | --- | --- | --- |\n| SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |",1]
["|  | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly |\n| --- | --- | --- | --- | --- |\n| CNN+RNN-coco | - | - | - | - |\n| neural-storyteller | 1e-56* | - | - | - |\n| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - |","| TermRetrieval | 1.2e-08* | 0.88 | - | - |\n| --- | --- | --- | --- | --- |\n| SemStyle-romonly | 2.1e-12* | 0.18 | 0.13 | - |\n| SemStyle | 1.4e-06* | 0.27 | 0.34 | 0.014 |",0]
["| Languages | MovieCount | UserCount |\n| --- | --- | --- |\n| Hindi | 615 | 902 |\n| Bengali | 582 | 28 |\n| Assamese | 22 | 9 |\n| Tamil | 313 | 30 |\n| Nepali | 51 | 9 |\n| Punjabi | 150 | 78 |\n| Rajasthani | 18 | 14 |\n| Malayalam | 346 | 16 |\n| Bhojpuri | 26 | 21 |\n| Kannada | 303 | 11 |\n| Haryanvi | 3 | 18 |\n| Manipuri | 8 | 4 |\n| Urdu | 129 | 23 |\n| Marathi | 204 | 14 |","| Telugu | 338 | 18 |\n| --- | --- | --- |\n| Oriya | 98 | 6 |\n| Gujarati | 49 | 7 |\n| Konkani | 6 | 4 |",1]
["| Languages | MovieCount | UserCount |\n| --- | --- | --- |\n| Hindi | 615 | 902 |\n| Bengali | 582 | 28 |\n| Assamese | 22 | 9 |\n| Tamil | 313 | 30 |\n| Nepali | 51 | 9 |\n| Punjabi | 150 | 78 |\n| Rajasthani | 18 | 14 |\n| Malayalam | 346 | 16 |\n| Bhojpuri | 26 | 21 |\n| Kannada | 303 | 11 |\n| Haryanvi | 3 | 18 |\n| Manipuri | 8 | 4 |\n| Urdu | 129 | 23 |\n| Marathi | 204 | 14 |","| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |\n| Irish | 46 | 252/278 |  |\n| Hausa | 77 | 424/520 |  |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| Languages | MovieCount | UserCount |\n| --- | --- | --- |\n| Hindi | 615 | 902 |\n| Bengali | 582 | 28 |\n| Assamese | 22 | 9 |\n| Tamil | 313 | 30 |\n| Nepali | 51 | 9 |\n| Punjabi | 150 | 78 |","| Rajasthani | 18 | 14 |\n| --- | --- | --- |\n| Malayalam | 346 | 16 |\n| Bhojpuri | 26 | 21 |\n| Kannada | 303 | 11 |\n| Haryanvi | 3 | 18 |\n| Manipuri | 8 | 4 |\n| Urdu | 129 | 23 |\n| Marathi | 204 | 14 |\n| Telugu | 338 | 18 |\n| Oriya | 98 | 6 |\n| Gujarati | 49 | 7 |\n| Konkani | 6 | 4 |",1]
["| Languages | MovieCount | UserCount |\n| --- | --- | --- |\n| Hindi | 615 | 902 |\n| Bengali | 582 | 28 |\n| Assamese | 22 | 9 |\n| Tamil | 313 | 30 |\n| Nepali | 51 | 9 |\n| Punjabi | 150 | 78 |","| Hausa | 77 | 424/520 |  |\n| --- | --- | --- | --- |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |\n| JavaSHA1PRNG |  |  |  |  |  |  |  |  |  |\n| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |\n| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |\n| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |\n| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |\n| NISTSP80090ASHA1-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |\n| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |\n| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |","| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |\n| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",1]
["| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |\n| JavaSHA1PRNG |  |  |  |  |  |  |  |  |  |\n| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |\n| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |\n| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |\n| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |\n| NISTSP80090ASHA1-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |\n| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |\n| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |","| 74618 | 0 | 3 | 15 | 167 | 108 | 11 | 196 | 2 | 1 | 60 | 1 | 15 | 38 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0 | 8059 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 32 | 0 | 7245 | 0 | 1 | 3 | 29 | 8 | 0 | 6 | 6 | 0 | 0 | 0 |\n| 7 | 0 | 0 | 120 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 0 | 0 | 0 |\n| 131 | 1 | 0 | 11 | 6848 | 83 | 0 | 20 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 26 | 0 | 0 | 2 | 56 | 606 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 1 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 44 | 4 | 3 | 2 | 25 | 0 | 0 | 2317 | 0 | 0 | 0 | 0 | 1 | 0 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |\n| JavaSHA1PRNG |  |  |  |  |  |  |  |  |  |\n| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |\n| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |\n| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |","| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NISTSP80090ASHA1-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |\n| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |\n| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |\n| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |\n| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",1]
["| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |\n| JavaSHA1PRNG |  |  |  |  |  |  |  |  |  |\n| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |\n| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |\n| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |","| 0 | 0 | 2 | 0 | 10 | 0 | 0 | 0 | 0 | 93 | 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 145 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 158 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7010 | 0 | 127 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 9 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 816 |\n| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 0 | 8 | 0 | 0 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 |",0]
["| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |\n| --- | --- | --- |\n| SourceOnly | 78.9 | 63.6(56.6) |\n| CORAL | 81.7 | 57.7 |\n| MMD | 81.1 | 76.9 |\n| DANN | 85.1 | 77.4 |\n| DSN | 91.3 | 83.2 |\n| CoGAN | 91.2 | 62.0 |","| OurPixelDA | 95.9 | 98.2 |\n| --- | --- | --- |\n| Target-only | 96.5 | 96.4(95.9) |",1]
["| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |\n| --- | --- | --- |\n| SourceOnly | 78.9 | 63.6(56.6) |\n| CORAL | 81.7 | 57.7 |\n| MMD | 81.1 | 76.9 |\n| DANN | 85.1 | 77.4 |\n| DSN | 91.3 | 83.2 |\n| CoGAN | 91.2 | 62.0 |","| Model | Still-image | +MGP | +MGP<br>+MCS | +MGP+MCS<br>+Rescoring | Model<br>Combination | TestSet |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 67.7 | 68.7 | 72.4 | 73.6 | 73.8 | 67.8 |\n| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 |  |  |\n| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |\n| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 |  |  |",0]
["| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |\n| --- | --- | --- |\n| SourceOnly | 78.9 | 63.6(56.6) |\n| CORAL | 81.7 | 57.7 |\n| MMD | 81.1 | 76.9 |\n| DANN | 85.1 | 77.4 |","| DSN | 91.3 | 83.2 |\n| --- | --- | --- |\n| CoGAN | 91.2 | 62.0 |\n| OurPixelDA | 95.9 | 98.2 |\n| Target-only | 96.5 | 96.4(95.9) |",1]
["| Model | MNISTto<br>USPS | MNISTto<br>MNIST-M |\n| --- | --- | --- |\n| SourceOnly | 78.9 | 63.6(56.6) |\n| CORAL | 81.7 | 57.7 |\n| MMD | 81.1 | 76.9 |\n| DANN | 85.1 | 77.4 |","| DeepID-net | 65.8 | 68.3 | 72.1 | 72.5 |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CRAFT | 69.5 | 70.3 | 74.1 | 75.0 | 77.0 | 69.7 |\n| DeepID-net | 70.7 | 72.7 | 74.9 | 75.4 |  |  |",0]
["| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |\n| --- | --- | --- | --- | --- |\n| makeanattempt | attempt | make | include | 9.36 |\n| makeachange | change | make | produce | 1.85 |\n| makeaconcession | concede | make | include | 11.47 |\n| makeademand | demand | make | create | 1.03 |","| makeadistinction | distinguish | make | have | 3.04 |\n| --- | --- | --- | --- | --- |\n| haveadrink(of) | drink | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | have | produce | 3.04 |\n| haveafeeling | feel | have | produce | 3.27 |\n| makeagift(of) | give | have | include | 9.89 |\n| doharm(to) | harm | cause | do | 1.26 |\n| makeajudgment | judge | make | have | 2.43 |\n| haveaknowledge(of) | know | have | use | 12.36 |\n| makeprogress | progress | make | allow | 64.33 |\n| makeaproposal | propose | make | include | 1.10 |\n| beararesemblance(to) | resemble | bear | have | 2.64 |\n| giveashove(to) | shove | N/A | N/A | N/A |\n| haveasnooze | snooze | N/A | N/A | N/A |\n| makeuse(of) | use | make | have | 6.55 |",1]
["| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |\n| --- | --- | --- | --- | --- |\n| makeanattempt | attempt | make | include | 9.36 |\n| makeachange | change | make | produce | 1.85 |\n| makeaconcession | concede | make | include | 11.47 |\n| makeademand | demand | make | create | 1.03 |","| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |\n| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",0]
["| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |\n| --- | --- | --- | --- | --- |\n| makeanattempt | attempt | make | include | 9.36 |\n| makeachange | change | make | produce | 1.85 |\n| makeaconcession | concede | make | include | 11.47 |\n| makeademand | demand | make | create | 1.03 |\n| makeadistinction | distinguish | make | have | 3.04 |\n| haveadrink(of) | drink | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | have | produce | 3.04 |","| haveafeeling | feel | have | produce | 3.27 |\n| --- | --- | --- | --- | --- |\n| makeagift(of) | give | have | include | 9.89 |\n| doharm(to) | harm | cause | do | 1.26 |\n| makeajudgment | judge | make | have | 2.43 |\n| haveaknowledge(of) | know | have | use | 12.36 |\n| makeprogress | progress | make | allow | 64.33 |\n| makeaproposal | propose | make | include | 1.10 |\n| beararesemblance(to) | resemble | bear | have | 2.64 |\n| giveashove(to) | shove | N/A | N/A | N/A |\n| haveasnooze | snooze | N/A | N/A | N/A |\n| makeuse(of) | use | make | have | 6.55 |",1]
["| SourceText | Verb | ChoiceC1 | ChoiceC2 | Ratio(C1/C2) |\n| --- | --- | --- | --- | --- |\n| makeanattempt | attempt | make | include | 9.36 |\n| makeachange | change | make | produce | 1.85 |\n| makeaconcession | concede | make | include | 11.47 |\n| makeademand | demand | make | create | 1.03 |\n| makeadistinction | distinguish | make | have | 3.04 |\n| haveadrink(of) | drink | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | have | produce | 3.04 |","| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| --- | --- | --- | --- | --- | --- |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",0]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |\n| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |","| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| --- | --- | --- | --- | --- |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",1]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |\n| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |","| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |\n| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |\n| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",0]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |","| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |\n| --- | --- | --- | --- | --- |\n| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",1]
["| ScriptType | Model | Parameter | Description | Value |\n| --- | --- | --- | --- | --- |\n| JavaScript<br>JavaScript<br>JavaScript | LaMP<br>LaMP<br>LaMP | BJS,LaMP<br>HJS,LaMP<br>EJS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 200<br>1500<br>64 |","| JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript<br>JavaScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BJS,CPoLS<br>HJS,CPoLS<br>EJS,CPoLS<br>WJS,CPoLS<br>SJS,CPoLS<br>FJS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 50<br>1500<br>64<br>10<br>5<br>128 |\n| --- | --- | --- | --- | --- |\n| VBScript<br>VBScript<br>VBScript | LaMP<br>LaMP<br>LaMP | BVBS,LaMP<br>HVBS,LaMP<br>EVBS,LaMP | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize | 100<br>1500<br>128 |\n| VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript<br>VBScript | CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS<br>CPoLS | BVBS,CPoLS<br>HVBS,CPoLS<br>EVBS,CPoLS<br>WVBS,CPoLS<br>SVBS,CPoLS<br>FVBS,CPoLS | MinibatchSize<br>LSTMHiddenLayerSize<br>EmbeddingLayerSize<br>CNNWindowSize<br>CNNWindowStride<br>NumberofCNNFilters | 100<br>1500<br>128<br>10<br>5<br>128 |",0]
["| Group | 2011 | 2012 | 2013 | 2014 | 2015 |\n| --- | --- | --- | --- | --- | --- |\n| NoABI | 42 | 45 | 47 | 41 | 41 |\n| NewABI | 34 | 33 | 30 | 28 | 31 |","| MatureABI | 36 | 36 | 44 | 42 | 42 |\n| --- | --- | --- | --- | --- | --- |\n| NL | 56 | 57 | 58 | 56 | 52 |",1]
["| Group | 2011 | 2012 | 2013 | 2014 | 2015 |\n| --- | --- | --- | --- | --- | --- |\n| NoABI | 42 | 45 | 47 | 41 | 41 |\n| NewABI | 34 | 33 | 30 | 28 | 31 |","| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 23 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 2 | 9 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 3 | 15 | 58 | 76 | 120 | 129 | 153 | 198 | 235 | 247 |\n| 4 | 23 | 58 | 76 | 120 | 129 | 178 | 185 | 235 | 261 |\n| 5 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 6 | 23 | 58 | 76 | 111 | 129 | 178 | 196 | 224 | 261 |\n| 7 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 8 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 9 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 247 |\n| 10 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 224 | 261 |\n| 11 | 23 | 58 | 76 | 104 | 129 | 178 | 208 | 235 | 261 |\n| 12 | 23 | 37 | 76 | 120 | 129 | 154 | 208 | 235 | 261 |\n| 13 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 261 |",0]
["| Group | 2011 | 2012 | 2013 | 2014 | 2015 |\n| --- | --- | --- | --- | --- | --- |\n| NoABI | 42 | 45 | 47 | 41 | 41 |","| NewABI | 34 | 33 | 30 | 28 | 31 |\n| --- | --- | --- | --- | --- | --- |\n| MatureABI | 36 | 36 | 44 | 42 | 42 |\n| NL | 56 | 57 | 58 | 56 | 52 |",1]
["| Group | 2011 | 2012 | 2013 | 2014 | 2015 |\n| --- | --- | --- | --- | --- | --- |\n| NoABI | 42 | 45 | 47 | 41 | 41 |","| 11 | 23 | 58 | 76 | 104 | 129 | 178 | 208 | 235 | 261 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 23 | 37 | 76 | 120 | 129 | 154 | 208 | 235 | 261 |\n| 13 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 261 |",0]
["| Layer | Size | Operation | Kernel |\n| --- | --- | --- | --- |\n| C1 | N1 | Convolution | 3x3 |\n| S1 | N1 | Maxsub-sampling | 2x2 |\n| C2 | N2 | Convolution | 3x3 |\n| S2 | N2 | Maxsub-sampling | 2x2 |","| C2 | N3 | Convolution | 3x3 |\n| --- | --- | --- | --- |\n| FC | 10 | Innerproduct | - |\n| Classif | 10 | Softmax | - |",1]
["| Layer | Size | Operation | Kernel |\n| --- | --- | --- | --- |\n| C1 | N1 | Convolution | 3x3 |\n| S1 | N1 | Maxsub-sampling | 2x2 |\n| C2 | N2 | Convolution | 3x3 |\n| S2 | N2 | Maxsub-sampling | 2x2 |","| Layer | LayerType | Size | OutputShape |\n| --- | --- | --- | --- |\n| 1 | Convolution+Maxout | 488×8ﬁlters |  |\n| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| Layer | Size | Operation | Kernel |\n| --- | --- | --- | --- |\n| C1 | N1 | Convolution | 3x3 |","| S1 | N1 | Maxsub-sampling | 2x2 |\n| --- | --- | --- | --- |\n| C2 | N2 | Convolution | 3x3 |\n| S2 | N2 | Maxsub-sampling | 2x2 |\n| C2 | N3 | Convolution | 3x3 |\n| FC | 10 | Innerproduct | - |\n| Classif | 10 | Softmax | - |",1]
["| Layer | Size | Operation | Kernel |\n| --- | --- | --- | --- |\n| C1 | N1 | Convolution | 3x3 |","| 1 | MaxPooling | 4×4,stride2 | (48,10,10) |\n| --- | --- | --- | --- |\n| 2 | Convolution+Maxout | 488×8ﬁlters |  |\n| 2 | MaxPooling | 4×4,stride2 | (48,4,4) |\n| 3 | Convolution+Maxout | 245×5ﬁlters |  |\n| 3 | MaxPooling | 2×2,stride2 | (24,3,3) |\n| 4 | Softmax | 121way | 121 |",0]
["| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |\n| --- | --- | --- | --- | --- |\n| Classical | 2998 | 9945 | 34029 | 131817 |\n| Barrett | 3126 | 8072 | 22779 | 72533 |","| FirstMethod | 3965 | 8421 | 21840 | 68012 |\n| --- | --- | --- | --- | --- |\n| SecondMethod | 4975 | 8629 | 19946 | 58948 |",1]
["| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |\n| --- | --- | --- | --- | --- |\n| Classical | 2998 | 9945 | 34029 | 131817 |\n| Barrett | 3126 | 8072 | 22779 | 72533 |","| 1 | 2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| Classical | 5 | 25 | 3 | 9 | 27 | 81 |\n| N=1E | 25 | 625 | 9 | 81 | 729 | 6561 |\n| N=2E | 105 | 11025 | 21 | 441 | 9261 | 194481 |\n| N=3E | 425 | 180625 | - | - | - | - |",0]
["| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |\n| --- | --- | --- | --- | --- |\n| Classical | 2998 | 9945 | 34029 | 131817 |\n| Barrett | 3126 | 8072 | 22779 | 72533 |","| FirstMethod | 3965 | 8421 | 21840 | 68012 |\n| --- | --- | --- | --- | --- |\n| SecondMethod | 4975 | 8629 | 19946 | 58948 |",1]
["| 9<br>xmod(N) | n=6000 | 12288 | 24576 | 49152 |\n| --- | --- | --- | --- | --- |\n| Classical | 2998 | 9945 | 34029 | 131817 |\n| Barrett | 3126 | 8072 | 22779 | 72533 |","| Classical | 5 | 25 | 3 | 9 | 27 | 81 |\n| --- | --- | --- | --- | --- | --- | --- |\n| N=1E | 25 | 625 | 9 | 81 | 729 | 6561 |\n| N=2E | 105 | 11025 | 21 | 441 | 9261 | 194481 |\n| N=3E | 425 | 180625 | - | - | - | - |",0]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |\n| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 |","| 2 | -0.30 | 6 | 0.29 | 11 | -2.30 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |\n| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |\n|  |  | 9 | 0.10 | 14 | 0.50 |",1]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |\n| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 |","| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |\n| 1 | -1.00 | 5 | -0.20 | 10 | 1.48 |\n| 2 | -1.00 | 6 | 1.29 | 11 | -2.57 |\n| 3 | -0.50 | 7 | 1.52 | 12 | -2.57 |\n| 4 | -0.30 | 8 | 1.45 | 13 | -2.84 |\n|  |  | 9 | 1.12 | 14 | 0.52 |",0]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |","| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 |\n| --- | --- | --- | --- | --- | --- |\n| 2 | -0.30 | 6 | 0.29 | 11 | -2.30 |\n| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |\n| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |\n|  |  | 9 | 0.10 | 14 | 0.50 |",1]
["| On-line | P2p | Collaboration |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Network | α | Network | α | Network | α |","| 3 | -0.50 | 7 | 1.52 | 12 | -2.57 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | -0.30 | 8 | 1.45 | 13 | -2.84 |\n|  |  | 9 | 1.12 | 14 | 0.52 |",0]
["| Imagename | NPCR | InformationEntropy |\n| --- | --- | --- |\n| Lena | 99.6170 | 7.9966 |\n| Barbara | 99.6475 | 7.9969 |","| Baboon | 99.6368 | 7.9971 |\n| --- | --- | --- |\n| Boat | 99.6231 | 7.9970 |\n| Peppers | 99.6154 | 7.9972 |",1]
["| Imagename | NPCR | InformationEntropy |\n| --- | --- | --- |\n| Lena | 99.6170 | 7.9966 |\n| Barbara | 99.6475 | 7.9969 |","| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.9303 | 0.9485 | 0.8588 |\n| Barbara | 0.8499 | 0.8811 | 0.8679 |\n| Baboon | 0.8250 | 0.7944 | 0.7577 |\n| Boat | 0.8799 | 0.9005 | 0.8136 |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",0]
["| Imagename | NPCR | InformationEntropy |\n| --- | --- | --- |\n| Lena | 99.6170 | 7.9966 |\n| Barbara | 99.6475 | 7.9969 |","| Baboon | 99.6368 | 7.9971 |\n| --- | --- | --- |\n| Boat | 99.6231 | 7.9970 |\n| Peppers | 99.6154 | 7.9972 |",1]
["| Imagename | NPCR | InformationEntropy |\n| --- | --- | --- |\n| Lena | 99.6170 | 7.9966 |\n| Barbara | 99.6475 | 7.9969 |","| Baboon | 0.8250 | 0.7944 | 0.7577 |\n| --- | --- | --- | --- |\n| Boat | 0.8799 | 0.9005 | 0.8136 |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",0]
["| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |","| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| --- | --- | --- | --- | --- |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",1]
["| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |","| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |\n| --- | --- | --- | --- | --- | --- | --- |\n| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |\n| SPoC | 256 | 53.1 | 50.1 | - | - | - |\n| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |\n| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |\n| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |\n| Ngetal | 128 | 59.3 | - | - | 59.0 | - |\n| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |\n| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |\n| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |",0]
["| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |","| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| --- | --- | --- | --- | --- |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",1]
["| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |","| SPoC | 256 | 53.1 | 50.1 | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |\n| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |\n| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |\n| Ngetal | 128 | 59.3 | - | - | 59.0 | - |\n| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |\n| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |\n| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |",0]
["| Trackers | FastMotion | BackgroundClutter |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NoiseVariance |  |  |  |  |  |  |  |  |  |  |  |  |\n| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 |  |\n| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |\n| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |\n| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 |","| MCPF | 80.5 | 80.1 | 71.1 | 64.9 | 63.7 | 60.3 | 82.0 | 77.8 | 65.8 | 55.0 | 52.8 | 46.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRDCF | 79.7 | 76.5 | 73.5 | 72.8 | 69.4 | 64.2 | 86.6 | 76.6 | 76.8 | 64.1 | 65.3 | 58.4 |\n| DCFNet | 79.5 | 73.3 | 66.5 | 66.7 | 65.3 | 67.0 | 78.7 | 77.4 | 64.5 | 63.1 | 57.3 | 57.4 |\n| SRDCFdecon | 77.8 | 77.4 | 72.5 | 68.6 | 56.0 | 53.8 | 80.1 | 71.7 | 68.4 | 59.7 | 50.0 | 52.2 |\n| CF2 | 77.3 | 72.7 | 64.5 | 59.3 | 59.7 | 51.6 | 75.3 | 63.7 | 54.0 | 48.4 | 47.9 | 39.9 |\n| SiameseFC | 73.9 | 71.3 | 68.0 | 67.1 | 62.1 | 60.5 | 69.8 | 68.1 | 61.1 | 57.5 | 47.2 | 53.0 |\n| HDT | 73.5 | 71.0 | 62.1 | 61.6 | 62.5 | 58.8 | 70.1 | 61.7 | 52.3 | 47.7 | 49.6 | 47.0 |\n| fDSST | 73.1 | 69.2 | 55.8 | 49.4 | 48.4 | 45.5 | 78.0 | 65.0 | 51.6 | 52.9 | 50.9 | 50.6 |\n| STAPLE | 70.8 | 65.5 | 57.4 | 55.0 | 48.5 | 44.5 | 74.9 | 74.2 | 66.6 | 65.4 | 61.1 | 60.9 |\n| LCT | 68.0 | 56.4 | 56.0 | 54.1 | 47.8 | 45.4 | 73.4 | 63.5 | 60.3 | 50.4 | 50.1 | 43.2 |\n| ECT | 67.6 | 48.3 | 1.82 | 10.0 | 9.00 | 4.50 | 74.4 | 41.7 | 5.60 | 1.70 | 1.10 | 0.90 |\n| BIT | 67.2 | 57.6 | 48.7 | 49.2 | 42.9 | 43.4 | 74.5 | 60.0 | 60.9 | 56.2 | 52.6 | 53.3 |\n| KCF | 63.2 | 49.2 | 41.0 | 35.0 | 34.8 | 2.91 | 71.3 | 49.5 | 44.3 | 44.3 | 39.8 | 35.5 |\n| CFNet | 63.0 | 56.7 | 51.7 | 41.5 | 42.7 | 35.5 | 71.2 | 68.1 | 59.7 | 51.3 | 47.9 | 42.3 |\n| Obli-RaF | 61.0 | 66.1 | 56.7 | 60.5 | 60.6 | 56.4 | 74.3 | 65.5 | 53.6 | 50.5 | 51.4 | 52.9 |\n| CNT | 34.3 | 34.8 | 34.2 | 34.2 | 30.3 | 2.71 | 51.5 | 51.3 | 45.2 | 46.5 | 47.8 | 44.3 |",1]
["| Trackers | FastMotion | BackgroundClutter |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NoiseVariance |  |  |  |  |  |  |  |  |  |  |  |  |\n| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 |  |\n| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |\n| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |\n| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 |","|  | Noiseless | Noisy |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 |\n| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |\n| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |\n| D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 |\n| ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |\n| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |",0]
["| Trackers | FastMotion | BackgroundClutter |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NoiseVariance |  |  |  |  |  |  |  |  |  |  |  |  |\n| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 |  |\n| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |\n| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |\n| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 |","| MCPF | 80.5 | 80.1 | 71.1 | 64.9 | 63.7 | 60.3 | 82.0 | 77.8 | 65.8 | 55.0 | 52.8 | 46.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRDCF | 79.7 | 76.5 | 73.5 | 72.8 | 69.4 | 64.2 | 86.6 | 76.6 | 76.8 | 64.1 | 65.3 | 58.4 |\n| DCFNet | 79.5 | 73.3 | 66.5 | 66.7 | 65.3 | 67.0 | 78.7 | 77.4 | 64.5 | 63.1 | 57.3 | 57.4 |\n| SRDCFdecon | 77.8 | 77.4 | 72.5 | 68.6 | 56.0 | 53.8 | 80.1 | 71.7 | 68.4 | 59.7 | 50.0 | 52.2 |\n| CF2 | 77.3 | 72.7 | 64.5 | 59.3 | 59.7 | 51.6 | 75.3 | 63.7 | 54.0 | 48.4 | 47.9 | 39.9 |\n| SiameseFC | 73.9 | 71.3 | 68.0 | 67.1 | 62.1 | 60.5 | 69.8 | 68.1 | 61.1 | 57.5 | 47.2 | 53.0 |\n| HDT | 73.5 | 71.0 | 62.1 | 61.6 | 62.5 | 58.8 | 70.1 | 61.7 | 52.3 | 47.7 | 49.6 | 47.0 |\n| fDSST | 73.1 | 69.2 | 55.8 | 49.4 | 48.4 | 45.5 | 78.0 | 65.0 | 51.6 | 52.9 | 50.9 | 50.6 |\n| STAPLE | 70.8 | 65.5 | 57.4 | 55.0 | 48.5 | 44.5 | 74.9 | 74.2 | 66.6 | 65.4 | 61.1 | 60.9 |\n| LCT | 68.0 | 56.4 | 56.0 | 54.1 | 47.8 | 45.4 | 73.4 | 63.5 | 60.3 | 50.4 | 50.1 | 43.2 |\n| ECT | 67.6 | 48.3 | 1.82 | 10.0 | 9.00 | 4.50 | 74.4 | 41.7 | 5.60 | 1.70 | 1.10 | 0.90 |\n| BIT | 67.2 | 57.6 | 48.7 | 49.2 | 42.9 | 43.4 | 74.5 | 60.0 | 60.9 | 56.2 | 52.6 | 53.3 |\n| KCF | 63.2 | 49.2 | 41.0 | 35.0 | 34.8 | 2.91 | 71.3 | 49.5 | 44.3 | 44.3 | 39.8 | 35.5 |\n| CFNet | 63.0 | 56.7 | 51.7 | 41.5 | 42.7 | 35.5 | 71.2 | 68.1 | 59.7 | 51.3 | 47.9 | 42.3 |\n| Obli-RaF | 61.0 | 66.1 | 56.7 | 60.5 | 60.6 | 56.4 | 74.3 | 65.5 | 53.6 | 50.5 | 51.4 | 52.9 |\n| CNT | 34.3 | 34.8 | 34.2 | 34.2 | 30.3 | 2.71 | 51.5 | 51.3 | 45.2 | 46.5 | 47.8 | 44.3 |",1]
["| Trackers | FastMotion | BackgroundClutter |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NoiseVariance |  |  |  |  |  |  |  |  |  |  |  |  |\n| 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 | 0.00 | 0.01 | 0.03 | 0.05 | 0.07 | 0.09 |  |\n| ECO | 87.5 | 84.7 | 82.6 | 81.2 | 75.8 | 70.2 | 91.7 | 80.0 | 77.8 | 69.0 | 67.4 | 64.2 |\n| CSRDCF | 85.8 | 84.4 | 80.2 | 78.5 | 77.4 | 76.9 | 91.4 | 88.6 | 86.4 | 85.9 | 82.1 | 81.5 |\n| ADNet | 83.5 | 74.9 | 72.9 | 67.4 | 61.2 | 63.0 | 83.7 | 72.7 | 65.4 | 57.7 | 53.7 | 54.7 |","| ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |",0]
["| Engine | Approx.Rating | AverageNodesSearched | STSScore |\n| --- | --- | --- | --- |\n| Giraﬀe(1s) | 2400 | 258570 | 9641 |","| Giraﬀe(0.5s) | 2400 | 119843 | 9211 |\n| --- | --- | --- | --- |\n| Giraﬀe(0.1s) | 2400 | 24134 | 8526 |\n| Stockﬁsh5 | 3387 | 108540 | 10505 |\n| Senpai1.0 | 3096 | 86711 | 9414 |\n| Texel1.04 | 2995 | 119455 | 8494 |\n| Arasan17.5 | 2847 | 79442 | 7961 |\n| Scorpio2.7.6 | 2821 | 139143 | 8795 |\n| Crafty24.0 | 2801 | 296918 | 8541 |\n| GNUChess6/Fruit2.1 | 2685 | 58552 | 8307 |\n| Sungorus1.4 | 2309 | 145069 | 7729 |",1]
["| Engine | Approx.Rating | AverageNodesSearched | STSScore |\n| --- | --- | --- | --- |\n| Giraﬀe(1s) | 2400 | 258570 | 9641 |","| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["| Engine | Approx.Rating | AverageNodesSearched | STSScore |\n| --- | --- | --- | --- |\n| Giraﬀe(1s) | 2400 | 258570 | 9641 |\n| Giraﬀe(0.5s) | 2400 | 119843 | 9211 |\n| Giraﬀe(0.1s) | 2400 | 24134 | 8526 |\n| Stockﬁsh5 | 3387 | 108540 | 10505 |\n| Senpai1.0 | 3096 | 86711 | 9414 |","| Texel1.04 | 2995 | 119455 | 8494 |\n| --- | --- | --- | --- |\n| Arasan17.5 | 2847 | 79442 | 7961 |\n| Scorpio2.7.6 | 2821 | 139143 | 8795 |\n| Crafty24.0 | 2801 | 296918 | 8541 |\n| GNUChess6/Fruit2.1 | 2685 | 58552 | 8307 |\n| Sungorus1.4 | 2309 | 145069 | 7729 |",1]
["| Engine | Approx.Rating | AverageNodesSearched | STSScore |\n| --- | --- | --- | --- |\n| Giraﬀe(1s) | 2400 | 258570 | 9641 |\n| Giraﬀe(0.5s) | 2400 | 119843 | 9211 |\n| Giraﬀe(0.1s) | 2400 | 24134 | 8526 |\n| Stockﬁsh5 | 3387 | 108540 | 10505 |\n| Senpai1.0 | 3096 | 86711 | 9414 |","| 20 | monkoracle | 0.2275 | 0.1125 |\n| --- | --- | --- | --- |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["| MR | CR |\n| --- | --- |\n| 71.11±0.80 | 71.22±1.04 |\n| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |","| 79.84±1.26 | 83.61±1.60 |\n| --- | --- |\n| MPQA | TREC |\n| 67.93±0.57 | 86.30±1.10 |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",1]
["| MR | CR |\n| --- | --- |\n| 71.11±0.80 | 71.22±1.04 |\n| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |","| L | P | PCACSAMPCATRODUMPCA | SO-MPCASO-MPCA-RS | TROD-RSUMPCA-RS |\n| --- | --- | --- | --- | --- |\n| 1 | 1<br>5<br>10<br>20<br>50<br>80 | 2.60±0.663.87±1.022.52±0.762.70±0.445.98±2.65<br>15.12±1.3111.90±1.2516.65±1.8215.88±1.2023.23±4.49<br>22.69±2.2121.35±2.7622.24±1.9421.52±2.8331.83±5.17<br>27.62±2.5726.16±2.3827.16±1.4726.30±2.4935.94±5.65<br>31.38±2.5831.37±1.9231.29±1.7129.63±2.2136.14±5.73<br>–31.95±1.8432.17±2.0931.14±2.42– | 2.73±0.696.85±1.44<br>20.06±2.3427.27±2.36<br>28.77±2.7236.34±3.56<br>31.94±2.9540.32±3.40<br>32.33±2.7840.48±3.09<br>32.26±2.7140.41±3.09 | 2.63±0.826.04±2.00<br>16.68±1.5024.78±4.76<br>21.86±3.0333.16±5.36<br>26.51±1.9736.65±5.46<br>29.80±1.4837.05±5.46<br>31.21±1.94– |\n| 2 | 1<br>5<br>10<br>20<br>50<br>80 | 2.69±0.733.36±0.542.63±0.552.65±0.777.28±2.44<br>20.17±1.2515.15±1.0321.53±0.9021.34±1.5626.90±5.23<br>32.03±2.4929.45±1.9528.04±1.6930.05±1.7040.17±6.76<br>39.07±1.8737.07±2.2738.86±2.1236.87±2.3744.51±6.54<br>43.86±2.5344.61±2.3444.54±2.7442.67±2.1645.47±6.65<br>45.28±2.3945.82±2.7646.02±2.6744.46±2.53– | 2.69±0.467.97±1.10<br>24.34±1.5933.82±1.45<br>36.94±2.5846.63±1.95<br>41.70±2.4852.19±2.11<br>42.24±2.3952.22±1.73<br>42.20±2.3952.19±1.80 | 2.81±0.796.82±1.56<br>21.62±1.9329.19±3.55<br>30.83±1.9344.01±3.22<br>37.64±2.1948.67±3.57<br>42.99±2.2849.07±3.61<br>44.78±2.48– |\n| 3 | 1<br>5<br>10<br>20<br>50<br>80 | 2.72±0.454.07±0.802.25±0.442.95±0.617.42±1.17<br>23.89±1.6416.58±0.9525.95±1.2624.48±1.7933.86±3.65<br>37.20±1.9136.05±1.5034.91±2.4034.83±2.9649.39±2.83<br>46.05±2.1143.87±1.9845.48±2.4643.37±2.5155.83±3.32<br>51.35±2.5351.60±2.5052.00±2.7048.92±2.6956.42±3.11<br>52.66±2.6752.84±2.7053.31±2.5951.17±2.65– | 2.56±0.567.55±1.17<br>28.30±2.0536.93±1.76<br>43.31±1.5154.38±3.09<br>49.49±2.1661.25±2.85<br>49.80±2.2961.08±2.83<br>49.77±2.3660.98±2.83 | 2.74±0.817.34±1.08<br>26.14±2.1732.68±4.67<br>34.64±3.0150.55±4.81<br>42.99±2.6555.89±4.16<br>49.47±2.7656.38±4.62<br>51.45±2.63– |\n| 4 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±0.853.92±1.042.22±0.623.11±0.837.96±2.15<br>25.26±1.7718.93±1.2928.71±1.9127.37±2.3437.66±4.88<br>41.54±2.0240.39±2.3639.43±2.0538.82±3.9155.10±4.55<br>49.34±1.6949.39±2.3550.18±3.0347.57±2.7062.40±4.49<br>56.85±2.0957.51±2.9857.48±2.7254.58±2.5663.13±4.15<br>58.16±2.4659.05±2.6558.91±2.5057.30±2.46– | 3.13±0.908.34±1.37<br>29.61±2.1640.25±1.52<br>47.10±2.8859.30±2.49<br>53.85±2.8966.60±3.07<br>54.56±3.1467.03±2.86<br>54.47±3.1766.89±2.90 | 3.08±0.667.03±1.68<br>28.25±2.8238.84±2.97<br>39.25±2.9557.30±4.86<br>47.73±2.9664.08±4.94<br>54.42±2.8964.85±5.01<br>57.48±2.46– |\n| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– |\n| 6 | 1<br>5<br>10<br>20<br>50<br>80 | 2.86±0.893.89±0.672.49±1.012.86±1.019.07±0.83<br>30.30±2.1721.89±2.0433.42±2.5233.59±2.6342.52±4.99<br>48.97±2.9649.14±2.5745.65±2.8545.88±2.9763.16±5.32<br>58.57±2.8458.97±2.6059.73±2.9657.11±3.2270.73±5.39<br>66.88±2.3167.84±2.4867.84±2.6364.05±2.9572.09±5.18<br>68.31±2.3369.44±2.4969.70±2.3566.78±2.94– | 2.56±0.748.97±0.97<br>35.18±1.3243.32±1.82<br>56.15±2.3665.75±2.76<br>64.72±3.1174.39±2.79<br>65.32±2.8674.75±2.60<br>65.08±2.7374.72±2.56 | 2.56±0.997.21±1.35<br>35.18±2.5244.65±4.14<br>47.24±2.5566.51±3.10<br>57.81±2.1874.52±3.10<br>65.12±2.9275.12±2.79<br>68.01±2.90– |\n| 7 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±1.194.55±1.072.12±1.072.81±0.8211.39±1.85<br>29.52±1.3822.51±1.2934.72±2.8632.03±2.4644.98±5.32<br>51.21±2.1149.39±3.1846.19±2.4346.10±2.6065.67±5.82<br>59.57±2.6460.91±2.7561.69±2.5757.58±2.7573.16±4.28<br>68.10±2.2169.35±1.8969.26±2.2265.54±2.7974.11±4.52<br>69.70±2.8470.39±1.7670.65±1.9767.97±2.45– | 2.38±1.3310.91±1.37<br>35.58±2.0445.89±2.34<br>56.84±2.0767.53±2.34<br>65.37±2.2474.89±1.97<br>65.37±2.0275.24±2.12<br>65.37±2.0275.19±2.18 | 1.99±1.198.57±1.68<br>35.02±1.8245.93±1.93<br>48.44±3.2066.93±2.01<br>58.31±2.6275.80±2.24<br>66.06±3.1076.88±1.72<br>68.14±2.96– |",0]
["| MR | CR |\n| --- | --- |\n| 71.11±0.80 | 71.22±1.04 |\n| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |","| 79.84±1.26 | 83.61±1.60 |\n| --- | --- |\n| MPQA | TREC |\n| 67.93±0.57 | 86.30±1.10 |\n| 84.04±1.20<br>84.52±1.17<br>85.36±1.13<br>82.00±0.88 | 85.16±1.76<br>84.24±2.61<br>86.28±0.90<br>82.04±2.23 |\n| 90.42±0.71 | 91.10±1.04 |",1]
["| MR | CR |\n| --- | --- |\n| 71.11±0.80 | 71.22±1.04 |\n| 72.74±1.03<br>74.39±1.70<br>75.25±1.33<br>71.64±2.09 | 71.86±2.00<br>73.81±3.52<br>76.72±2.78<br>71.52±4.18 |","| 5 | 1<br>5<br>10<br>20<br>50<br>80 | 2.91±0.914.37±1.062.72±0.882.59±0.647.41±2.14<br>28.95±2.0720.75±1.7732.99±2.4731.75±2.7940.78±5.82<br>47.06±1.5445.77±2.1743.29±3.0743.80±3.5160.49±6.37<br>55.66±1.9456.01±2.1956.79±2.1454.47±1.6666.90±6.23<br>63.91±1.7164.58±2.1364.37±2.2761.54±2.7567.71±6.31<br>64.61±1.6765.58±1.9265.85±2.0264.02±2.40– | 3.07±0.608.38±0.97<br>34.20±2.6742.35±3.04<br>53.45±2.7563.23±3.37<br>61.40±2.4369.97±2.55<br>62.26±2.8870.70±2.47<br>62.18±2.8370.70±2.45 | 2.96±0.757.20±1.35<br>33.45±1.4141.67±1.95<br>44.69±2.7162.88±2.59<br>54.64±1.9670.19±3.25<br>61.51±1.9270.81±3.08<br>64.02±2.03– |\n| --- | --- | --- | --- | --- |\n| 6 | 1<br>5<br>10<br>20<br>50<br>80 | 2.86±0.893.89±0.672.49±1.012.86±1.019.07±0.83<br>30.30±2.1721.89±2.0433.42±2.5233.59±2.6342.52±4.99<br>48.97±2.9649.14±2.5745.65±2.8545.88±2.9763.16±5.32<br>58.57±2.8458.97±2.6059.73±2.9657.11±3.2270.73±5.39<br>66.88±2.3167.84±2.4867.84±2.6364.05±2.9572.09±5.18<br>68.31±2.3369.44±2.4969.70±2.3566.78±2.94– | 2.56±0.748.97±0.97<br>35.18±1.3243.32±1.82<br>56.15±2.3665.75±2.76<br>64.72±3.1174.39±2.79<br>65.32±2.8674.75±2.60<br>65.08±2.7374.72±2.56 | 2.56±0.997.21±1.35<br>35.18±2.5244.65±4.14<br>47.24±2.5566.51±3.10<br>57.81±2.1874.52±3.10<br>65.12±2.9275.12±2.79<br>68.01±2.90– |\n| 7 | 1<br>5<br>10<br>20<br>50<br>80 | 2.68±1.194.55±1.072.12±1.072.81±0.8211.39±1.85<br>29.52±1.3822.51±1.2934.72±2.8632.03±2.4644.98±5.32<br>51.21±2.1149.39±3.1846.19±2.4346.10±2.6065.67±5.82<br>59.57±2.6460.91±2.7561.69±2.5757.58±2.7573.16±4.28<br>68.10±2.2169.35±1.8969.26±2.2265.54±2.7974.11±4.52<br>69.70±2.8470.39±1.7670.65±1.9767.97±2.45– | 2.38±1.3310.91±1.37<br>35.58±2.0445.89±2.34<br>56.84±2.0767.53±2.34<br>65.37±2.2474.89±1.97<br>65.37±2.0275.24±2.12<br>65.37±2.0275.19±2.18 | 1.99±1.198.57±1.68<br>35.02±1.8245.93±1.93<br>48.44±3.2066.93±2.01<br>58.31±2.6275.80±2.24<br>66.06±3.1076.88±1.72<br>68.14±2.96– |",0]
["| NumberOfKeysOnTheSortedArray | 327kilo |\n| --- | --- |\n| SearchKeySize | 4bytes |","| IndexTreeSize | 3.2MB |\n| --- | --- |\n| SubtreeSize(excepttherootsubtree)(inB,C) | 320KB |\n| RootSubtreeSize(inB,C) | 44bytes |\n| T(inA,B) | 7 |\n| L(inC-1,C-2) | 6 |\n| SizeofNode(inA,B,andC-1) | 32bytes |\n| SizeofRootNode(inC-2) | 32bytes |\n| SizeofLeafNode(inC-2) | 8KB |",1]
["| NumberOfKeysOnTheSortedArray | 327kilo |\n| --- | --- |\n| SearchKeySize | 4bytes |","| dataset | algorithms | indexsize |  |  |\n| --- | --- | --- | --- | --- |\n| tree(hashtable) | graph | all |  |  |\n| SIFT1M | ﬂann(16-tree) | 997.5MB | 0 | 997.5MB |\n| Efanna(16-tree,10-NN) | 283.3MB | 60.5MB | 343.8MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| GIST1 | ﬂann(16-tree) | 998.4MB | 0 | 998.4MB |\n| Efanna(16-tree,10-NN) | 287.7MB | 60.5MB | 348.2MB |  |\n| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |  |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |  |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |  |",0]
["| NumberOfKeysOnTheSortedArray | 327kilo |\n| --- | --- |\n| SearchKeySize | 4bytes |","| IndexTreeSize | 3.2MB |\n| --- | --- |\n| SubtreeSize(excepttherootsubtree)(inB,C) | 320KB |\n| RootSubtreeSize(inB,C) | 44bytes |\n| T(inA,B) | 7 |\n| L(inC-1,C-2) | 6 |\n| SizeofNode(inA,B,andC-1) | 32bytes |\n| SizeofRootNode(inC-2) | 32bytes |\n| SizeofLeafNode(inC-2) | 8KB |",1]
["| NumberOfKeysOnTheSortedArray | 327kilo |\n| --- | --- |\n| SearchKeySize | 4bytes |","| GNNS(10-NN) | 0 | 60.5MB | 60.5MB |\n| --- | --- | --- | --- |\n| kGraph(10-NN) | 0 | 60.5MB | 60.5MB |\n| IEH-LSH(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |\n| IEH-ITQ(32bit,10-NN) | 82.7MB | 60.5MB | 143.2MB |\n| Theindexsizehereisthesizeinthememory,notthesizeonthedisk. |  |  |  |",0]
["| ProﬁleKey | Positive | Negative |\n| --- | --- | --- |\n| Name | 6,966 | 3,442 |\n| Gender | 7,665 | 8,259 |\n| Age | 6,038 | 3,309 |","| City | 6,264 | 8,350 |\n| --- | --- | --- |\n| Weight | 6,856 | 3,800 |\n| Constellation | 8,404 | 7,577 |",1]
["| ProﬁleKey | Positive | Negative |\n| --- | --- | --- |\n| Name | 6,966 | 3,442 |\n| Gender | 7,665 | 8,259 |\n| Age | 6,038 | 3,309 |","| 318739 | 472 | 138 | 7 | 16 |\n| --- | --- | --- | --- | --- |\n| 229 | 32090 | 217 | 0 | 9 |\n| 33 | 115 | 885 | 0 | 16 |\n| 0 | 0 | 0 | 5 | 0 |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",0]
["| ProﬁleKey | Positive | Negative |\n| --- | --- | --- |\n| Name | 6,966 | 3,442 |","| Gender | 7,665 | 8,259 |\n| --- | --- | --- |\n| Age | 6,038 | 3,309 |\n| City | 6,264 | 8,350 |\n| Weight | 6,856 | 3,800 |\n| Constellation | 8,404 | 7,577 |",1]
["| ProﬁleKey | Positive | Negative |\n| --- | --- | --- |\n| Name | 6,966 | 3,442 |","| 33 | 115 | 885 | 0 | 16 |\n| --- | --- | --- | --- | --- |\n| 0 | 0 | 0 | 5 | 0 |\n| 5 | 23 | 26 | 0 | 3128 |\n| 11 | 32 | 0 | 0 | 0 |",0]
["| Parameter | Meaning | Value |\n| --- | --- | --- |\n| Pt | Transmissionpower | 10W |\n| K | Antennadependentconstant | −64.5dB |\n| N0 | PSDofthermalnoise | −174dBm |\n| d0 | Referencedistancefortheantennafar-ﬁeld | 20m |","| γ | Pathlossexponent | 4 |\n| --- | --- | --- |\n| σ | Standarddeviationforϕi,dB | 4 |\n| r | Cellradius | 800m |",1]
["| Parameter | Meaning | Value |\n| --- | --- | --- |\n| Pt | Transmissionpower | 10W |\n| K | Antennadependentconstant | −64.5dB |\n| N0 | PSDofthermalnoise | −174dBm |\n| d0 | Referencedistancefortheantennafar-ﬁeld | 20m |","| Parameters | Values |\n| --- | --- |\n| NumberofBSs | 40 |\n| NumberofWAPs | 30 |\n| Meantimeofasuccessfultransmission | 5µs |\n| Meantimeofacollision | 1µs |\n| Meantimeofidlechannel | 3µs |\n| Numberofchannels | 10 |\n| RTS | 20bytes |\n| CTS | 14bytes |\n| DIFS | 34µs |\n| SIFS | 16µs |\n| NumberofWUs | 150 |\n| TransmitpoweroftheWAPs | 0.5W |\n| TransmitpoweroftheBSs | 1W |",0]
["| Parameter | Meaning | Value |\n| --- | --- | --- |\n| Pt | Transmissionpower | 10W |\n| K | Antennadependentconstant | −64.5dB |\n| N0 | PSDofthermalnoise | −174dBm |\n| d0 | Referencedistancefortheantennafar-ﬁeld | 20m |","| γ | Pathlossexponent | 4 |\n| --- | --- | --- |\n| σ | Standarddeviationforϕi,dB | 4 |\n| r | Cellradius | 800m |",1]
["| Parameter | Meaning | Value |\n| --- | --- | --- |\n| Pt | Transmissionpower | 10W |\n| K | Antennadependentconstant | −64.5dB |\n| N0 | PSDofthermalnoise | −174dBm |\n| d0 | Referencedistancefortheantennafar-ﬁeld | 20m |","| NumberofWUs | 150 |\n| --- | --- |\n| TransmitpoweroftheWAPs | 0.5W |\n| TransmitpoweroftheBSs | 1W |",0]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |\n| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |\n| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |\n| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |","| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |\n| --- | --- | --- | --- | --- |\n| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |\n| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |\n| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |\n| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |\n| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |\n| radcliﬀecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |\n| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 |",1]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |\n| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |\n| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |\n| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |","| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| defense | 0.7482 | 0.5309 | 0.9592 | 0.7936 |\n| eiﬀel | 0.8872 | 0.8002 | 0.9260 | 0.8643 |\n| invalides | 0.9852 | 0.9378 | 0.9884 | 0.9473 |\n| louvre | 0.8224 | 0.7279 | 0.8674 | 0.7566 |\n| moulinrouge | 0.7690 | 0.6163 | 0.9882 | 0.9627 |\n| museedorsay | 0.6485 | 0.5262 | 0.8407 | 0.6952 |\n| notredame | 0.9910 | 0.8956 | 0.9860 | 0.8883 |\n| pantheon | 0.9941 | 0.9355 | 0.9982 | 0.9559 |\n| pompidou | 0.8641 | 0.8234 | 0.9008 | 0.8874 |\n| sacrecoeur | 0.9647 | 0.9084 | 0.9780 | 0.9257 |\n| triomphe | 0.9727 | 0.8734 | 0.9907 | 0.9745 |\n| mean | 0.8770 | 0.7796 | 0.9476 | 0.8774 |",0]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |\n| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |\n| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |\n| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |\n| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |\n| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |\n| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |\n| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |\n| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |","| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |\n| --- | --- | --- | --- | --- |\n| radcliﬀecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |\n| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 |",1]
["| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |\n| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |\n| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |\n| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |\n| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |\n| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |\n| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |\n| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |\n| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |","| pantheon | 0.9941 | 0.9355 | 0.9982 | 0.9559 |\n| --- | --- | --- | --- | --- |\n| pompidou | 0.8641 | 0.8234 | 0.9008 | 0.8874 |\n| sacrecoeur | 0.9647 | 0.9084 | 0.9780 | 0.9257 |\n| triomphe | 0.9727 | 0.8734 | 0.9907 | 0.9745 |\n| mean | 0.8770 | 0.7796 | 0.9476 | 0.8774 |",0]
["| Method | Inceptionscore |\n| --- | --- |\n| 3DShapeNets | 4.126±0.193 |\n| 3D-GAN | 8.658±0.450 |","| 3DVAE | 11.015±0.420 |\n| --- | --- |\n| 3DDescriptorNet(ours) | 11.772±0.418 |",1]
["| Method | Inceptionscore |\n| --- | --- |\n| 3DShapeNets | 4.126±0.193 |\n| 3D-GAN | 8.658±0.450 |","| Model | InceptionScore |\n| --- | --- |\n| (a)Upperbound | 4.44±1.91 |\n| (b)ImprovedWGAN | 1.42±0.13 |\n| (c)ConditionalGAN | 2.21±0.38 |\n| (d)+SpectralNorm | 2.45±0.48 |\n| (e)+HingeLoss | 2.49±0.51 |\n| (f)+ProjectionDiscriminator | 2.61±0.41 |\n| (g)+AuxiliaryClassiﬁer | 2.83±0.53 |",0]
["| Method | Inceptionscore |\n| --- | --- |\n| 3DShapeNets | 4.126±0.193 |\n| 3D-GAN | 8.658±0.450 |","| 3DVAE | 11.015±0.420 |\n| --- | --- |\n| 3DDescriptorNet(ours) | 11.772±0.418 |",1]
["| Method | Inceptionscore |\n| --- | --- |\n| 3DShapeNets | 4.126±0.193 |\n| 3D-GAN | 8.658±0.450 |","| (e)+HingeLoss | 2.49±0.51 |\n| --- | --- |\n| (f)+ProjectionDiscriminator | 2.61±0.41 |\n| (g)+AuxiliaryClassiﬁer | 2.83±0.53 |",0]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.08 | .20 | .78 |","| DecayFunctionatAll | 4.99 | .30 | .03 |\n| --- | --- | --- | --- |\n| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |\n| DocumentContentatExponentialdecay | 0.00 | .00 | .97 |",1]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.08 | .20 | .78 |","| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.06 | . | .81 |\n| DecayFunctionatAll | 2.28 | . | .13 |\n| DocumentContentatSlidingwindow | 9.96 | . | .00 |\n| DocumentContentatExponentialdecay | 1.19 | . | .28 |",0]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.08 | .20 | .78 |","| DecayFunctionatAll | 4.99 | .30 | .03 |\n| --- | --- | --- | --- |\n| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |\n| DocumentContentatExponentialdecay | 0.00 | .00 | .97 |",1]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.08 | .20 | .78 |","| DocumentContentatSlidingwindow | 9.96 | . | .00 |\n| --- | --- | --- | --- |\n| DocumentContentatExponentialdecay | 1.19 | . | .28 |",0]
["| Noisecoeﬃcient | horizontal | vertical |\n| --- | --- | --- |\n| 0.01 | 1.2992 | 1.2739 |\n| 0.03 | 1.5758 | 1.2661 |","| 0.05 | 2.0938 | 1.2753 |\n| --- | --- | --- |\n| 0.07 | 2.3385 | 1.3668 |",1]
["| Noisecoeﬃcient | horizontal | vertical |\n| --- | --- | --- |\n| 0.01 | 1.2992 | 1.2739 |\n| 0.03 | 1.5758 | 1.2661 |","| 0.4068 | 0.2910 | 0.3571 |\n| --- | --- | --- |\n| 0.3446 | 0.3532 | 0.3476 |\n| 0.4592 | 0.2090 | 0.3236 |\n| 0.5393 | 0.2397 | 0.3751 |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["| Noisecoeﬃcient | horizontal | vertical |\n| --- | --- | --- |\n| 0.01 | 1.2992 | 1.2739 |\n| 0.03 | 1.5758 | 1.2661 |","| 0.05 | 2.0938 | 1.2753 |\n| --- | --- | --- |\n| 0.07 | 2.3385 | 1.3668 |",1]
["| Noisecoeﬃcient | horizontal | vertical |\n| --- | --- | --- |\n| 0.01 | 1.2992 | 1.2739 |\n| 0.03 | 1.5758 | 1.2661 |","| 0.4592 | 0.2090 | 0.3236 |\n| --- | --- | --- |\n| 0.5393 | 0.2397 | 0.3751 |\n| 0.1369 | 0.0986 | 0.1205 |\n| 0.5626 | 0.2808 | 0.4164 |",0]
["| Algorithms | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| 12-hourobservationbaseline-1 | 251 | 93 |\n| 12-hourobservationbaseline-2 | 251 | 482 |\n| MLR | 251 | 51 |\n| with12-hourobservationSP | 251 | 355 |\n| Algorithms | Realpurchases | Predictedpurchases |\n| 12-hourobservationbaseline-1 | 384 | 169 |\n| 12-hourobservationbaseline-2 | 384 | 714 |","| MLR | 384 | 1,452 |\n| --- | --- | --- |\n| with12-hourobservationSP | 384 | 463 |",1]
["| Algorithms | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| 12-hourobservationbaseline-1 | 251 | 93 |\n| 12-hourobservationbaseline-2 | 251 | 482 |\n| MLR | 251 | 51 |\n| with12-hourobservationSP | 251 | 355 |\n| Algorithms | Realpurchases | Predictedpurchases |\n| 12-hourobservationbaseline-1 | 384 | 169 |\n| 12-hourobservationbaseline-2 | 384 | 714 |","| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 129 | 32 |\n| with12-hourobservationbaseline2 | 129 | 245 |\n| with12-hourobservationSP | 129 | 110 |\n| Model | Realpurchases | Predictedpurchases |\n| with12-hourobservationbaseline1 | 75 | 28 |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",0]
["| Algorithms | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| 12-hourobservationbaseline-1 | 251 | 93 |\n| 12-hourobservationbaseline-2 | 251 | 482 |\n| MLR | 251 | 51 |\n| with12-hourobservationSP | 251 | 355 |\n| Algorithms | Realpurchases | Predictedpurchases |\n| 12-hourobservationbaseline-1 | 384 | 169 |","| 12-hourobservationbaseline-2 | 384 | 714 |\n| --- | --- | --- |\n| MLR | 384 | 1,452 |\n| with12-hourobservationSP | 384 | 463 |",1]
["| Algorithms | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| 12-hourobservationbaseline-1 | 251 | 93 |\n| 12-hourobservationbaseline-2 | 251 | 482 |\n| MLR | 251 | 51 |\n| with12-hourobservationSP | 251 | 355 |\n| Algorithms | Realpurchases | Predictedpurchases |\n| 12-hourobservationbaseline-1 | 384 | 169 |","| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 75 | 28 |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",0]
["| Dataset | W2V | GLOVE | p−val. |\n| --- | --- | --- | --- |\n| WS353 | 0.7362 | 0.629 | 2e |\n| WS353-SIM | 0.7805 | 0.6979 | 0.0 |","| WS353-REL | 0.6814 | 0.5706 | 0.2123 |\n| --- | --- | --- | --- |\n| MC-30 | 0.8221 | 0.7773 | 0.0001 |\n| RG-65 | 0.8348 | 0.8117 | 0.3053 |\n| RW | 0.4819 | 0.4144 | 0.2426 |\n| MEN | 0.796 | 0.7362 | 0.0021 |\n| MTurk-287 | 0.671 | 0.6475 | 0.2076 |\n| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |\n| YP-130 | 0.504 | 0.5315 | 0.0 |\n| SimLex999 | 0.4621 | 0.3725 | 0.0015 |\n| Verb−143 | 0.4479 | 0.3275 | 0.0431 |",1]
["| Dataset | W2V | GLOVE | p−val. |\n| --- | --- | --- | --- |\n| WS353 | 0.7362 | 0.629 | 2e |\n| WS353-SIM | 0.7805 | 0.6979 | 0.0 |","| SN | Dataset-Name | WP | Glove-300D | PCA-150D | P+PCA-150D | PCA-150D+P |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | MTurk-771 | 771 | 65.01 | 52.47 | 65.59 | 63.86 |\n| 2 | WS-353-SIM | 203 | 66.38 | 52.69 | 70.03 | 70.87 |\n| 3 | MTurk-287 | 287 | 63.32 | 56.56 | 63.38 | 64.62 |\n| 4 | VERB-143 | 144 | 30.51 | 28.52 | 39.04 | 40.14 |\n| 5 | WS-353-ALL | 353 | 60.54 | 46.52 | 66.23 | 66.85 |\n| 6 | RW-Stanford | 2034 | 41.18 | 27.46 | 43.17 | 40.79 |\n| 7 | MEN-TR-3K | 3000 | 73.75 | 63.35 | 75.34 | 75.37 |\n| 8 | RG-65 | 65 | 76.62 | 71.71 | 73.62 | 74.27 |\n| 9 | MC-30 | 30 | 70.26 | 70.03 | 69.21 | 72.35 |\n| 10 | SIMLEX-999 | 999 | 37.05 | 27.21 | 36.71 | 33.81 |\n| 11 | WS-353-REL | 252 | 57.26 | 41.82 | 62.02 | 60.50 |\n| 12 | YP-130 | 130 | 56.13 | 36.72 | 55.42 | 50.20 |",0]
["| Dataset | W2V | GLOVE | p−val. |\n| --- | --- | --- | --- |\n| WS353 | 0.7362 | 0.629 | 2e |\n| WS353-SIM | 0.7805 | 0.6979 | 0.0 |\n| WS353-REL | 0.6814 | 0.5706 | 0.2123 |\n| MC-30 | 0.8221 | 0.7773 | 0.0001 |\n| RG-65 | 0.8348 | 0.8117 | 0.3053 |\n| RW | 0.4819 | 0.4144 | 0.2426 |\n| MEN | 0.796 | 0.7362 | 0.0021 |\n| MTurk-287 | 0.671 | 0.6475 | 0.2076 |\n| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |\n| YP-130 | 0.504 | 0.5315 | 0.0 |","| SimLex999 | 0.4621 | 0.3725 | 0.0015 |\n| --- | --- | --- | --- |\n| Verb−143 | 0.4479 | 0.3275 | 0.0431 |",1]
["| Dataset | W2V | GLOVE | p−val. |\n| --- | --- | --- | --- |\n| WS353 | 0.7362 | 0.629 | 2e |\n| WS353-SIM | 0.7805 | 0.6979 | 0.0 |\n| WS353-REL | 0.6814 | 0.5706 | 0.2123 |\n| MC-30 | 0.8221 | 0.7773 | 0.0001 |\n| RG-65 | 0.8348 | 0.8117 | 0.3053 |\n| RW | 0.4819 | 0.4144 | 0.2426 |\n| MEN | 0.796 | 0.7362 | 0.0021 |\n| MTurk-287 | 0.671 | 0.6475 | 0.2076 |\n| MTurk-771 | 0.7116 | 0.6842 | 0.0425 |\n| YP-130 | 0.504 | 0.5315 | 0.0 |","| 11 | WS-353-REL | 252 | 57.26 | 41.82 | 62.02 | 60.50 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 12 | YP-130 | 130 | 56.13 | 36.72 | 55.42 | 50.20 |",0]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOﬀ<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |\n| Average | 3 | 32.41 | 33.86 | 33.92 |","| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOﬀ<br>CrowdRun | 4<br>4<br>4<br>4<br>4<br>4<br>4<br>4 | 38.99<br>34.13<br>35.49<br>24.14<br>30.06<br>29.49<br>24.85<br>25.21 | 40.57<br>35.72<br>36.94<br>24.87<br>31.51<br>30.43<br>25.44<br>26.24 | 41.00<br>35.91<br>36.94<br>25.13<br>31.83<br>30.54<br>25.64<br>26.40 |\n| --- | --- | --- | --- | --- |\n| Average | 4 | 30.30 | 31.47 | 31.67 |",1]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOﬀ<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |\n| Average | 3 | 32.41 | 33.86 | 33.92 |","| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |\n| Average | 3 | 38.56 | 40.21 | 40.35 |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |\n| Average | 4 | 36.20 | 37.52 | 37.91 |",0]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOﬀ<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |\n| Average | 3 | 32.41 | 33.86 | 33.92 |","| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOﬀ<br>CrowdRun | 4<br>4<br>4<br>4<br>4<br>4<br>4<br>4 | 38.99<br>34.13<br>35.49<br>24.14<br>30.06<br>29.49<br>24.85<br>25.21 | 40.57<br>35.72<br>36.94<br>24.87<br>31.51<br>30.43<br>25.44<br>26.24 | 41.00<br>35.91<br>36.94<br>25.13<br>31.83<br>30.54<br>25.64<br>26.40 |\n| --- | --- | --- | --- | --- |\n| Average | 4 | 30.30 | 31.47 | 31.67 |",1]
["| Dataset | Scale | Bicubic | SRCNN | ESPCN |\n| --- | --- | --- | --- | --- |\n| SunFlower<br>Station2<br>PedestrianArea<br>SnowMnt<br>Aspen<br>OldTownCross<br>DucksTakeOﬀ<br>CrowdRun | 3<br>3<br>3<br>3<br>3<br>3<br>3<br>3 | 41.72<br>36.42<br>37.65<br>26.00<br>32.75<br>31.20<br>26.71<br>26.87 | 43.29<br>38.17<br>39.21<br>27.23<br>34.65<br>32.44<br>27.66<br>28.26 | 43.36<br>38.32<br>39.27<br>27.20<br>34.61<br>32.53<br>27.69<br>28.39 |\n| Average | 3 | 32.41 | 33.86 | 33.92 |","| Average | 3 | 38.56 | 40.21 | 40.35 |\n| --- | --- | --- | --- | --- |\n| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |\n| Average | 4 | 36.20 | 37.52 | 37.91 |",0]
["| Topic# | TopWords |\n| --- | --- |\n| 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice |\n| 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented |\n| 3 | scariestpestknowinglycausingﬂub<br>mesmerizedawnedmillenniumecologicalecologist |\n| 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee |\n| 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus |\n| 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible |\n| 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting |\n| 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph |\n| 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |\n| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |\n| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |\n| 12 | oﬀsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology |\n| 13 | undertakenwilsonianidealismbrethrenwriteoﬀ<br>multipolarhegemonistmultilateralenlargementmutating |","| 14 | athleticallyﬁctitiousmyermajorleaguebaseballfamiliarizing<br>resurrectslugbackslidesupersedingartistically |\n| --- | --- |\n| 15 | dialogﬁlesdiabolicalliontown<br>passwordlistswisscoldbloodedoutgained |\n| 16 | recessedphasedbutyllowlightbalmy<br>redliningprescriptionmarchedmischaracterizationtertiary |\n| 17 | sponsortelevisesponsorshipfestivalsullied<br>ratiﬁcationinsinuatingwarheadstagedreconstruct |\n| 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineﬀectivenesscoexistedrepentancedivvyingoverexposed |",1]
["| Topic# | TopWords |\n| --- | --- |\n| 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice |\n| 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented |\n| 3 | scariestpestknowinglycausingﬂub<br>mesmerizedawnedmillenniumecologicalecologist |\n| 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee |\n| 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus |\n| 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible |\n| 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting |\n| 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph |\n| 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |\n| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |\n| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |\n| 12 | oﬀsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology |\n| 13 | undertakenwilsonianidealismbrethrenwriteoﬀ<br>multipolarhegemonistmultilateralenlargementmutating |","| Wittgenstein | Medline |\n| --- | --- |\n| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin |\n| SatzderMathematik | wasobservedinthegroups |\n| aberdochsehrwohldenSatz | betweenthoseobtainedwith |\n| it’snonsensetosaythat | isusedforthetreatmentof |\n| wesaythathesees | thetreatmentgroups |\n| einbesondererFall | Thetwogroupswerefoundto |\n| AberhatteeraucheinBild | treatmentofpatientswith |\n| dasgleicheBildzuihrerDarstellung | Wepresenttheresultsobtained |\n| Erkl¨arungderBedeutung | wereobtainedfrompatientsduring |\n| BedeutungdesZeichens | reportedbythepatients |\n| denGebrauchdesWorts | resultsinasigniﬁcantincreasein |",0]
["| Topic# | TopWords |\n| --- | --- |\n| 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice |\n| 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented |\n| 3 | scariestpestknowinglycausingﬂub<br>mesmerizedawnedmillenniumecologicalecologist |\n| 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee |\n| 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus |\n| 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible |\n| 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting |\n| 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph |\n| 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |\n| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |\n| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |","| 12 | oﬀsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology |\n| --- | --- |\n| 13 | undertakenwilsonianidealismbrethrenwriteoﬀ<br>multipolarhegemonistmultilateralenlargementmutating |\n| 14 | athleticallyﬁctitiousmyermajorleaguebaseballfamiliarizing<br>resurrectslugbackslidesupersedingartistically |\n| 15 | dialogﬁlesdiabolicalliontown<br>passwordlistswisscoldbloodedoutgained |\n| 16 | recessedphasedbutyllowlightbalmy<br>redliningprescriptionmarchedmischaracterizationtertiary |\n| 17 | sponsortelevisesponsorshipfestivalsullied<br>ratiﬁcationinsinuatingwarheadstagedreconstruct |\n| 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineﬀectivenesscoexistedrepentancedivvyingoverexposed |",1]
["| Topic# | TopWords |\n| --- | --- |\n| 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice |\n| 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented |\n| 3 | scariestpestknowinglycausingﬂub<br>mesmerizedawnedmillenniumecologicalecologist |\n| 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee |\n| 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus |\n| 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible |\n| 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting |\n| 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph |\n| 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |\n| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |\n| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |","| BedeutungdesZeichens | reportedbythepatients |\n| --- | --- |\n| denGebrauchdesWorts | resultsinasigniﬁcantincreasein |",0]
["| t | Highestweightedwords,dimensiont | Meaning |\n| --- | --- | --- |\n| 99 | horses,cat,teenager,grandma | people/animals |","| 120 | tables,driveway,customer,stations | domestic |\n| --- | --- | --- |\n| 183 | gate,territory,directions,phillipines | foreign |\n| 194 | sweat,disciplined,beliefs,marines | military |",1]
["| t | Highestweightedwords,dimensiont | Meaning |\n| --- | --- | --- |\n| 99 | horses,cat,teenager,grandma | people/animals |","| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["| t | Highestweightedwords,dimensiont | Meaning |\n| --- | --- | --- |\n| 99 | horses,cat,teenager,grandma | people/animals |\n| 120 | tables,driveway,customer,stations | domestic |","| 183 | gate,territory,directions,phillipines | foreign |\n| --- | --- | --- |\n| 194 | sweat,disciplined,beliefs,marines | military |",1]
["| t | Highestweightedwords,dimensiont | Meaning |\n| --- | --- | --- |\n| 99 | horses,cat,teenager,grandma | people/animals |\n| 120 | tables,driveway,customer,stations | domestic |","| boy | girl | 0.089 | 0.804 | 0.863 |\n| --- | --- | --- | --- | --- |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["|  | Model | Manual |\n| --- | --- | --- |\n| Quarter | ROI | ROI |\n| Q42005 | 0.90 | 0.59 |\n| Q12006 | 1.36 | 0.89 |\n| Q22006 | 1.98 | 0.37 |\n| Q32006 | 0.59 | 0.34 |\n| Q42006 | 1.72 | -0.28 |","| Q12006 | 1.39 | -0.39 |\n| --- | --- | --- |\n| Average | 1.32 | 0.25 |",1]
["|  | Model | Manual |\n| --- | --- | --- |\n| Quarter | ROI | ROI |\n| Q42005 | 0.90 | 0.59 |\n| Q12006 | 1.36 | 0.89 |\n| Q22006 | 1.98 | 0.37 |\n| Q32006 | 0.59 | 0.34 |\n| Q42006 | 1.72 | -0.28 |","| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["|  | Model | Manual |\n| --- | --- | --- |\n| Quarter | ROI | ROI |","| Q42005 | 0.90 | 0.59 |\n| --- | --- | --- |\n| Q12006 | 1.36 | 0.89 |\n| Q22006 | 1.98 | 0.37 |\n| Q32006 | 0.59 | 0.34 |\n| Q42006 | 1.72 | -0.28 |\n| Q12006 | 1.39 | -0.39 |\n| Average | 1.32 | 0.25 |",1]
["|  | Model | Manual |\n| --- | --- | --- |\n| Quarter | ROI | ROI |","| VAE | 2 | 0.52 | 0.12 |\n| --- | --- | --- | --- |\n| VAE | 4 | 0.51 | 0.13 |",0]
["| Protocol | Type |\n| --- | --- |\n| Das(2016) | Remoteauthentication |","| Changetal.(2016) | Remoteauthentication |\n| --- | --- |\n| Jiangetal.(2016) | Remoteauthentication |\n| Farashetal.(2016) | Remoteauthentication |\n| Srinivasetal.(2017) | Remoteauthentication |",1]
["| Protocol | Type |\n| --- | --- |\n| Das(2016) | Remoteauthentication |","| Management |\n| --- |\n| ProbeRequest |\n| ProbeResponse |\n| Beacon |\n| Authentication |\n| Deauthentication |\n| ATIM |",0]
["| Protocol | Type |\n| --- | --- |\n| Das(2016) | Remoteauthentication |\n| Changetal.(2016) | Remoteauthentication |\n| Jiangetal.(2016) | Remoteauthentication |","| Farashetal.(2016) | Remoteauthentication |\n| --- | --- |\n| Srinivasetal.(2017) | Remoteauthentication |",1]
["| Protocol | Type |\n| --- | --- |\n| Das(2016) | Remoteauthentication |\n| Changetal.(2016) | Remoteauthentication |\n| Jiangetal.(2016) | Remoteauthentication |","| ProbeResponse |\n| --- |\n| Beacon |\n| Authentication |\n| Deauthentication |\n| ATIM |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 2000 | 6000 | 53000 |\n| MySQL | 112 | 2529.8 | 32897.9 |\n| PostgreSQL | 86.8 | 2040.6 | 16465.2 |\n| MongoDB | 26.4 | 321.4 | 7814.6 |","| CouchDB | 2.1 | 18.73 | 227.22 |\n| --- | --- | --- | --- |\n| Couchbase | 45.83 | 445.72 | 7578.98 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 2000 | 6000 | 53000 |\n| MySQL | 112 | 2529.8 | 32897.9 |\n| PostgreSQL | 86.8 | 2040.6 | 16465.2 |\n| MongoDB | 26.4 | 321.4 | 7814.6 |","| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 35.3 | 243.6 | 2313.4 |\n| MySQL | 4.1 | 117.8 | 844.8 |\n| PostgreSQL | 3.7 | 19.4 | 663.5 |\n| MongoDB | 1 | 6 | 43.5 |\n| CouchDB | 2.14 | 30.44 | 307.54 |\n| Couchbase | 4.34 | 34.89 | 345.77 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 2000 | 6000 | 53000 |\n| MySQL | 112 | 2529.8 | 32897.9 |","| PostgreSQL | 86.8 | 2040.6 | 16465.2 |\n| --- | --- | --- | --- |\n| MongoDB | 26.4 | 321.4 | 7814.6 |\n| CouchDB | 2.1 | 18.73 | 227.22 |\n| Couchbase | 45.83 | 445.72 | 7578.98 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 2000 | 6000 | 53000 |\n| MySQL | 112 | 2529.8 | 32897.9 |","| CouchDB | 2.14 | 30.44 | 307.54 |\n| --- | --- | --- | --- |\n| Couchbase | 4.34 | 34.89 | 345.77 |",0]
["| Alg. | H | AT | LWT | RWT |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |","| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",1]
["| Alg. | H | AT | LWT | RWT |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |","| K | Ld | Lr | Lf | Lc | Ls |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 6 | − | − | 7 | 7 |\n| 4 | 18 | − | − | 20 | 20 |\n| 5 | 49 | 53 | − | 53 | 53 |\n| 6 | 114 | 119 | 126 | 130 | 130 |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["| Alg. | H | AT | LWT | RWT |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |","| O | 22 | 17 | 765 | 12 | 8 | 201 | 28 | 46 | 2856 | 19 | 21 | 777 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| B | 19 | 11 | 478 | 23 | 36 | 1783 | 10 | 10 | 191 | 12 | 17 | 419 |\n| P | 8 | 3 | 72 | 9 | 4 | 106 | 9 | 6 | 115 | 10 | 9 | 187 |",1]
["| Alg. | H | AT | LWT | RWT |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | µh | σh | MSEh | µa | σa | MSEa | µl | σl | MSEl | µr | σr | MSEr |","| 5 | 49 | 53 | − | 53 | 53 |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 114 | 119 | 126 | 130 | 130 |\n| 7 | 250 | 257 | 297 | 306 | 307 |\n| 8 | 534 | 543 | 663 | 705 | 706 |\n| 9 | 1122 | 1136 | 1473 | 1591 | 1592 |\n| 10 | 2333 | 2356 | 3202 | 3543 | 3543 |",0]
["| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 |\n| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |","| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 |\n| LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |",1]
["| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 |\n| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |","| ODS | OIS |\n| --- | --- |\n| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 |\n| .720<br>.682<br>.746 | .734<br>.695<br>.761 |\n| .729<br>.705<br>.757 | .742<br>.715<br>.771 |\n| .739<br>.707<br>.762 | .754<br>.719<br>.778 |",0]
["| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 |\n| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |","| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 |\n| LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |",1]
["| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 |\n| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |","| .720<br>.682<br>.746 | .734<br>.695<br>.761 |\n| --- | --- |\n| .729<br>.705<br>.757 | .742<br>.715<br>.771 |\n| .739<br>.707<br>.762 | .754<br>.719<br>.778 |",0]
["| n | granularityofspacedecomposition |\n| --- | --- |\n| k | numberofnearestneighbors |\n| d | dimensionality |\n| D | ad-dimensionalmetricspace |\n| dist(r,s) | thedistancefromrtos |\n| kNN(r,S) | theknearestneighborsofrfromS |\n| AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) |\n| ICCH | interval,cellcubeorhypercube |\n| ICSH | interval,circle,sphereorhypersphere |\n| I | inputdataset |\n| T | trainingdataset |","| cr | theclassofpointr |\n| --- | --- |\n| CT | thesetofclassesofdatasetT |\n| SI | sizeofinputdataset |\n| ST | sizeoftrainingdataset |\n| M | totalnumberofMaptasks |\n| R | totalnumberofReducetasks |",1]
["| n | granularityofspacedecomposition |\n| --- | --- |\n| k | numberofnearestneighbors |\n| d | dimensionality |\n| D | ad-dimensionalmetricspace |\n| dist(r,s) | thedistancefromrtos |\n| kNN(r,S) | theknearestneighborsofrfromS |\n| AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) |\n| ICCH | interval,cellcubeorhypercube |\n| ICSH | interval,circle,sphereorhypersphere |\n| I | inputdataset |\n| T | trainingdataset |","| Notation | Meaning |\n| --- | --- |\n| n,m,k | numberofskills,individuals,tasks |\n| ∆ | thesizeofthelargestminimalteam |\n| Cti | thei-thteamthatcoverstaskt |\n| µ | approximationratioofproblem |\n| x | (approximate)solutionofprimalLP |\n| N(C)ti | C’sadjacentteamsti |\n| Ct | setofteamsthatcovertaskt |\n| C | C={C,···,C}1k |\n| C | setofteamsontasktcorrespondingtotheseparatinghyper-planes |\n| C | C={C,···,C} |\n| C | setofinputteamsofLProunding |",0]
["| n | granularityofspacedecomposition |\n| --- | --- |\n| k | numberofnearestneighbors |\n| d | dimensionality |\n| D | ad-dimensionalmetricspace |\n| dist(r,s) | thedistancefromrtos |\n| kNN(r,S) | theknearestneighborsofrfromS |\n| AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) |\n| ICCH | interval,cellcubeorhypercube |\n| ICSH | interval,circle,sphereorhypersphere |\n| I | inputdataset |","| T | trainingdataset |\n| --- | --- |\n| cr | theclassofpointr |\n| CT | thesetofclassesofdatasetT |\n| SI | sizeofinputdataset |\n| ST | sizeoftrainingdataset |\n| M | totalnumberofMaptasks |\n| R | totalnumberofReducetasks |",1]
["| n | granularityofspacedecomposition |\n| --- | --- |\n| k | numberofnearestneighbors |\n| d | dimensionality |\n| D | ad-dimensionalmetricspace |\n| dist(r,s) | thedistancefromrtos |\n| kNN(r,S) | theknearestneighborsofrfromS |\n| AkNNC(R,S) | ∀r∈RclassifyrbasedonkNN(r,S) |\n| ICCH | interval,cellcubeorhypercube |\n| ICSH | interval,circle,sphereorhypersphere |\n| I | inputdataset |","| x | (approximate)solutionofprimalLP |\n| --- | --- |\n| N(C)ti | C’sadjacentteamsti |\n| Ct | setofteamsthatcovertaskt |\n| C | C={C,···,C}1k |\n| C | setofteamsontasktcorrespondingtotheseparatinghyper-planes |\n| C | C={C,···,C} |\n| C | setofinputteamsofLProunding |",0]
["| Pattern | Count |\n| --- | --- |\n| Q[5]-V[5]-W | 732 |\n| P[5]-K[5]-F | 286 |","| T[5]-O[5]-I | 145 |\n| --- | --- |\n| B[5]-C[5]-D | 75 |\n| G[5]-M[5]-S | 10 |",1]
["| Pattern | Count |\n| --- | --- |\n| Q[5]-V[5]-W | 732 |\n| P[5]-K[5]-F | 286 |","|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 17 | 5 | 1 | - | - | 10 |\n| SL | 4 | 24 | 2 | - | 1 | 19 |\n| SR | 3 | - | 29 | - | 1 | 44 |\n| BH | - | 1 | - | 20 | 1 | 19 |\n| SH | 1 | - | - | 1 | 23 | 32 |\n| Del | - | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",0]
["| Pattern | Count |\n| --- | --- |\n| Q[5]-V[5]-W | 732 |\n| P[5]-K[5]-F | 286 |\n| T[5]-O[5]-I | 145 |","| B[5]-C[5]-D | 75 |\n| --- | --- |\n| G[5]-M[5]-S | 10 |",1]
["| Pattern | Count |\n| --- | --- |\n| Q[5]-V[5]-W | 732 |\n| P[5]-K[5]-F | 286 |\n| T[5]-O[5]-I | 145 |","| SL | 4 | 24 | 2 | - | 1 | 19 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SR | 3 | - | 29 | - | 1 | 44 |\n| BH | - | 1 | - | 20 | 1 | 19 |\n| SH | 1 | - | - | 1 | 23 | 32 |\n| Del | - | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",0]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |","| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",1]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |","| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression | 0.7964 | 0.8102 | 0.8325 | 0.7731 | 0.8151 | 0.8275 |\n| GTMicroExpression+IDT | 0.8456 | 0.8137 | 0.8468 | 0.7834 | 0.8205 | 0.8988 |\n| GTMicroExpression+IDT+Transcript | 0.8594 | 0.8137 | 0.8923 | 0.8074 | 0.8205 | 0.8988 |\n| GTMicroExpression+IDT+MFCC | 0.8969 | 0.9002 | 0.8668 | 0.7834 | 0.8319 | 0.9221 |\n| GTMicroExpression+AllModalities | 0.9065 | 0.9002 | 0.8905 | 0.8074 | 0.8731 | 0.9221 |",0]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |\n| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |","| IDT+MicroExpression+MFCC | 0.8596 | 0.8233 | 0.7629 | 0.7687 | 0.8477 | 0.7894 |\n| --- | --- | --- | --- | --- | --- | --- |\n| AllModalities | 0.8773 | 0.8233 | 0.7776 | 0.7777 | 0.8477 | 0.7894 |",1]
["| Features | L-SVM | K-SVM | NB | DT | RF | LR |\n| --- | --- | --- | --- | --- | --- | --- |\n| IDT | 0.7731 | 0.6374 | 0.5984 | 0.5895 | 0.5567 | 0.6425 |\n| MicroExpression | 0.7502 | 0.7540 | 0.7629 | 0.7269 | 0.8064 | 0.7398 |\n| Transcript | 0.6457 | 0.4667 | 0.6625 | 0.5251 | 0.6172 | 0.5643 |\n| MFCC | 0.7694 | 0.8171 | 0.6726 | 0.4369 | 0.7393 | 0.6683 |\n| IDT+MicroExpression | 0.8347 | 0.7540 | 0.7629 | 0.7687 | 0.8184 | 0.7419 |\n| IDT+MicroExpression+Transcripts | 0.8347 | 0.7540 | 0.7776 | 0.7777 | 0.8184 | 0.7419 |","| GTMicroExpression+IDT+MFCC | 0.8969 | 0.9002 | 0.8668 | 0.7834 | 0.8319 | 0.9221 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GTMicroExpression+AllModalities | 0.9065 | 0.9002 | 0.8905 | 0.8074 | 0.8731 | 0.9221 |",0]
["| n | H(n)P |\n| --- | --- |\n| 4 | 1 |\n| 5 | 25 |\n| 6 | 1317 |","| 7 | 96012 |\n| --- | --- |\n| 8 | 8976600 |\n| 9 | 1027205280 |\n| 10 | 139315157730 |\n| 11 | 21864486188160 |\n| 12 | 3898841480307900 |\n| 13 | 778680435365714700 |\n| 14 | 172192746831203449890 |\n| 15 | 41765231538761743574100 |\n| 16 | 11024455369912310561835600 |\n| 17 | 3146065407516184280981053200 |\n| 18 | 965135197612755256313598822450 |\n| 19 | 316731891055609655106993297185400 |\n| 20 | 110718818921232836033343337842628500 |",1]
["| n | H(n)P |\n| --- | --- |\n| 4 | 1 |\n| 5 | 25 |\n| 6 | 1317 |","| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 191520 |\n| 10 | 42058800 |\n| 11 | 7864256400 |\n| 12 | 1407126890400 |\n| 13 | 257752421166240 |\n| 14 | 50607986220311520 |\n| 15 | 10995419195575214400 |\n| 16 | 2692773804667509763200 |\n| 17 | 747221542837742897724800 |\n| 18 | 233698171655650029030743040 |\n| 19 | 81472765051132560093387934080 |\n| 20 | 31268587126068905034073041062400 |",0]
["| n | H(n)P |\n| --- | --- |\n| 4 | 1 |","| 5 | 25 |\n| --- | --- |\n| 6 | 1317 |\n| 7 | 96012 |\n| 8 | 8976600 |\n| 9 | 1027205280 |\n| 10 | 139315157730 |\n| 11 | 21864486188160 |\n| 12 | 3898841480307900 |\n| 13 | 778680435365714700 |\n| 14 | 172192746831203449890 |\n| 15 | 41765231538761743574100 |\n| 16 | 11024455369912310561835600 |\n| 17 | 3146065407516184280981053200 |\n| 18 | 965135197612755256313598822450 |\n| 19 | 316731891055609655106993297185400 |\n| 20 | 110718818921232836033343337842628500 |",1]
["| n | H(n)P |\n| --- | --- |\n| 4 | 1 |","| 13 | 257752421166240 |\n| --- | --- |\n| 14 | 50607986220311520 |\n| 15 | 10995419195575214400 |\n| 16 | 2692773804667509763200 |\n| 17 | 747221542837742897724800 |\n| 18 | 233698171655650029030743040 |\n| 19 | 81472765051132560093387934080 |\n| 20 | 31268587126068905034073041062400 |",0]
["| LayerType | Parameters |  |\n| --- | --- | --- |\n| Input | 94x24pixelsRGBimage |  |\n| AvgPooling | #323x3stride2 | — |","| Convolution | #325x5stride3 | #325x5stride5 |\n| --- | --- | --- |\n| Concatenation | channel-wise |  |\n| Dropout | 0.5ratio |  |\n| FC | #32withTanHactivation |  |\n| FC | #6withscaledTanHactivation |  |",1]
["| LayerType | Parameters |  |\n| --- | --- | --- |\n| Input | 94x24pixelsRGBimage |  |\n| AvgPooling | #323x3stride2 | — |","| LayerType | Parameters |\n| --- | --- |\n| Input | 94x24pixelsRGBimage |\n| Convolution | #643x3stride1 |\n| MaxPooling | #643x3stride1 |\n| Smallbasicblock | #1283x3stride1 |\n| MaxPooling | #643x3stride(2,1) |\n| Smallbasicblock | #2563x3stride1 |\n| Smallbasicblock | #2563x3stride1 |\n| MaxPooling | #643x3stride(2,1) |\n| Dropout | 0.5ratio |\n| Convolution | #2564x1stride1 |\n| Dropout | 0.5ratio |\n| Convolution | #classnumber1x13stride1 |",0]
["| LayerType | Parameters |  |\n| --- | --- | --- |\n| Input | 94x24pixelsRGBimage |  |\n| AvgPooling | #323x3stride2 | — |","| Convolution | #325x5stride3 | #325x5stride5 |\n| --- | --- | --- |\n| Concatenation | channel-wise |  |\n| Dropout | 0.5ratio |  |\n| FC | #32withTanHactivation |  |\n| FC | #6withscaledTanHactivation |  |",1]
["| LayerType | Parameters |  |\n| --- | --- | --- |\n| Input | 94x24pixelsRGBimage |  |\n| AvgPooling | #323x3stride2 | — |","| Dropout | 0.5ratio |\n| --- | --- |\n| Convolution | #classnumber1x13stride1 |",0]
["| Method\\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0614 |  |  |  |  |\n| GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 |\n| Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 |\n| Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 |","| Conjugate-Hestenes | 0.8177 | 0.3612 | 0.3575 | 0.8883 | 2.0041 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-DaiYun | 1.429 | 2.8531 | 0.583 | 0.6836 | 6.2065 |\n| Newton’sMethod | 0.0623 | 0.1601 | 1.1828 | 3.0661 | 5.8747 |",1]
["| Method\\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0614 |  |  |  |  |\n| GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 |\n| Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 |\n| Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 |","| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0077 |  |  |  |  |\n| GradientDescent | 0.0431 | 0.0259 | 0.0136 | 0.023 | 0.067 |\n| Conjugate-Fletcher | 0.0384 | 0.0216 | 0.0115 | 0.0222 | 0.0526 |\n| Conjugate-Polak | 0.0373 | 0.0218 | 0.0118 | 0.0153 | 0.0447 |\n| Conjugate-Hestenes | 0.0332 | 0.0214 | 0.0119 | 0.0196 | 0.0233 |\n| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |\n| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |",0]
["| Method\\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0614 |  |  |  |  |","| GradientDescent | 0.1415 | 0.0618 | 0.0614 | 0.1254 | 1.4633 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-Fletcher | 0.1056 | 0.0623 | 0.0693 | 0.0898 | 1.6338 |\n| Conjugate-Polak | 0.1711 | 0.0625 | 0.1639 | 0.1967 | 2.6599 |\n| Conjugate-Hestenes | 0.8177 | 0.3612 | 0.3575 | 0.8883 | 2.0041 |\n| Conjugate-DaiYun | 1.429 | 2.8531 | 0.583 | 0.6836 | 6.2065 |\n| Newton’sMethod | 0.0623 | 0.1601 | 1.1828 | 3.0661 | 5.8747 |",1]
["| Method\\Step | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0.0614 |  |  |  |  |","| Conjugate-DaiYun | 0.0241 | 0.0185 | 0.0192 | 0.02 | 0.0244 |\n| --- | --- | --- | --- | --- | --- |\n| Newton’sMethod | 0.0196 | 0.0186 | 0.0512 | 0.0583 | 0.0569 |",0]
["| Datasets | IC13 | IC15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |","| Det+Rec | 0.847 | 0.918 | 0.881 | 0.804 | 0.881 | 0.842 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Det+Rec-lex | 0.838 | 0.957 | 0.894 | 0.792 | 0.912 | 0.848 |",1]
["| Datasets | IC13 | IC15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |","| Dataset | PTA | MP | DV | Ours |\n| --- | --- | --- | --- | --- |\n| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |\n| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 |\n| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |\n| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |",0]
["| Datasets | IC13 | IC15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |","| Det+Rec | 0.847 | 0.918 | 0.881 | 0.804 | 0.881 | 0.842 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Det+Rec-lex | 0.838 | 0.957 | 0.894 | 0.792 | 0.912 | 0.848 |",1]
["| Datasets | IC13 | IC15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| Det | 0.844 | 0.912 | 0.876 | 0.785 | 0.878 | 0.829 |","| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 |\n| --- | --- | --- | --- | --- |\n| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |\n| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 |",0]
["| η | 0.001 | 0.005 | 0.01 | 0.0125 |\n| --- | --- | --- | --- | --- |\n| Nc | 5 | 9 | 16 | 20 |\n| τ | 3 | 5 | 6 | 7 |","| a | 23 | 24 | 24 | 27 |\n| --- | --- | --- | --- | --- |\n| Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |",1]
["| η | 0.001 | 0.005 | 0.01 | 0.0125 |\n| --- | --- | --- | --- | --- |\n| Nc | 5 | 9 | 16 | 20 |\n| τ | 3 | 5 | 6 | 7 |","| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |\n| DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 |\n| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| η | 0.001 | 0.005 | 0.01 | 0.0125 |\n| --- | --- | --- | --- | --- |\n| Nc | 5 | 9 | 16 | 20 |","| τ | 3 | 5 | 6 | 7 |\n| --- | --- | --- | --- | --- |\n| a | 23 | 24 | 24 | 27 |\n| Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |",1]
["| η | 0.001 | 0.005 | 0.01 | 0.0125 |\n| --- | --- | --- | --- | --- |\n| Nc | 5 | 9 | 16 | 20 |","| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",0]
["| Type | Machines |\n| --- | --- |\n| HPC | CPU1,CPU2 |\n| DiskI/O | DISK1,DISK2 |","| HTTPServer | WEB1,WEB2 |\n| --- | --- |\n| DBMSserver | DBMS1,DBMS2 |",1]
["| Type | Machines |\n| --- | --- |\n| HPC | CPU1,CPU2 |\n| DiskI/O | DISK1,DISK2 |","|  | FutureGrid | FutureGridx2 | XSEDE | XSEDEx2 | OSG | OSGx2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Partitions | 14 | 28 | 13 | 26 | 200 | 400 |\n| SimultaneousJobs | 477 | 954 | 6600 | 13200 | 42300 | 84600 |\n| JobsperHour | 78 | 154 | 1090 | 2169 | 21254 | 42455 |\n| Services | 77 | 144 | 260 | 520 | 4000 | 8000 |\n| Nodes | 608 | 1216 | N/A | N/A | N/A | N/A |\n| NetworkLinks | 6 | 12 | N/A | N/A | N/A | N/A |\n| Info.databases | 1 | 1 | 1 | 1 | 1 | 1 |\n| Webportals | 1 | 1 | 1 | 1 | 1 | 1 |\n| Accountingsystems | 1 | 1 | 1 | 1 | 1 | 1 |\n| Metaschedulers | 1 | 2 | 2 | 4 | 2 | 4 |\n| Monitoringsystems | 2 | 4 | 1 | 1 | 1 | 1 |\n| ScienceGateways | 0 | 0 | 10 | 20 | 20 | 40 |",0]
["| Type | Machines |\n| --- | --- |\n| HPC | CPU1,CPU2 |","| DiskI/O | DISK1,DISK2 |\n| --- | --- |\n| HTTPServer | WEB1,WEB2 |\n| DBMSserver | DBMS1,DBMS2 |",1]
["| Type | Machines |\n| --- | --- |\n| HPC | CPU1,CPU2 |","| Webportals | 1 | 1 | 1 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Accountingsystems | 1 | 1 | 1 | 1 | 1 | 1 |\n| Metaschedulers | 1 | 2 | 2 | 4 | 2 | 4 |\n| Monitoringsystems | 2 | 4 | 1 | 1 | 1 | 1 |\n| ScienceGateways | 0 | 0 | 10 | 20 | 20 | 40 |",0]
["| datasetperplexitylink |\n| --- |\n| Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 |","| 1Bwordbenchmark(shuﬄedsentences)24.2 |\n| --- |\n| OpenSubtitles(923Mwords)17 |\n| ITHelpdeskTroubleshooting(30Mwords)8 |\n| MovieTriplets(1Mwords)27 |\n| PTB(1Mwords)62.34 |",1]
["| datasetperplexitylink |\n| --- |\n| Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 |","| Dataset | #datapoints | #features | Density(average<br>numberoffeatures<br>perdatapoint) | Comments |\n| --- | --- | --- | --- | --- |\n| NH2010 | 48,838 | 48,838 | 4.8026 | Topologicalgraphof49<br>CensusBlocksinNewHampshire. |\n| DBLP | 5,425,964 | 5,425,964 | 3.1880 | Authorshipnetworkof1.4Mauthors<br>and4Mpublications,with8.65Medges. |\n| MovieLens | ∼10M | 82,250 | 200 | 10Mmovieratingsfrom71,568users<br>for10,682movies. |\n| EN-Wiki | 20,207,156 | 213,272 | 200 | SubsetofEnglishWikipediadump. |",0]
["| datasetperplexitylink |\n| --- |\n| Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 |\n| 1Bwordbenchmark(shuﬄedsentences)24.2 |\n| OpenSubtitles(923Mwords)17 |","| ITHelpdeskTroubleshooting(30Mwords)8 |\n| --- |\n| MovieTriplets(1Mwords)27 |\n| PTB(1Mwords)62.34 |",1]
["| datasetperplexitylink |\n| --- |\n| Wikipediaenglishcorpussnapshot2014/09/17(1.5Bwords)27.1 |\n| 1Bwordbenchmark(shuﬄedsentences)24.2 |\n| OpenSubtitles(923Mwords)17 |","| MovieLens | ∼10M | 82,250 | 200 | 10Mmovieratingsfrom71,568users<br>for10,682movies. |\n| --- | --- | --- | --- | --- |\n| EN-Wiki | 20,207,156 | 213,272 | 200 | SubsetofEnglishWikipediadump. |",0]
["| N | )f(N | g(N,f)x |\n| --- | --- | --- |\n| 000 | 0 | M=1 |\n| 001 | 1 | M=4 |\n| 010 | 1 | M=4 |","| 011 | 1 | M=4 |\n| --- | --- | --- |\n| 100 | 1 | M=4 |\n| 101 | 0 | M=2 |\n| 110 | 1 | M=4 |\n| 111 | 0 | M=2 |",1]
["| N | )f(N | g(N,f)x |\n| --- | --- | --- |\n| 000 | 0 | M=1 |\n| 001 | 1 | M=4 |\n| 010 | 1 | M=4 |","| x1,1 | x1,2 | ... | ... | x1,N |\n| --- | --- | --- | --- | --- |\n| x2,1 | x2,2 | ... | ... | x2,N |\n| ... | ... | ... | ... | ... |\n| ... | ... | ... | ... | ... |\n| xM,1 | xM,2 | ... | ... | xM,N |",0]
["| N | )f(N | g(N,f)x |\n| --- | --- | --- |\n| 000 | 0 | M=1 |","| 001 | 1 | M=4 |\n| --- | --- | --- |\n| 010 | 1 | M=4 |\n| 011 | 1 | M=4 |\n| 100 | 1 | M=4 |\n| 101 | 0 | M=2 |\n| 110 | 1 | M=4 |\n| 111 | 0 | M=2 |",1]
["| N | )f(N | g(N,f)x |\n| --- | --- | --- |\n| 000 | 0 | M=1 |","| ... | ... | ... | ... | ... |\n| --- | --- | --- | --- | --- |\n| ... | ... | ... | ... | ... |\n| xM,1 | xM,2 | ... | ... | xM,N |",0]
["| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) |\n| --- | --- |\n| ProbabilityTheory | P(A∨B\\|I)=P(A\\|I)+P(B\\|I)−P(A,B\\|I) |","| InformationTheory | I(A;B)=H(A)+H(B)−H(A,B) |\n| --- | --- |\n| Polya’sMinMaxRule | max(A,B)=A+B−min(A,B) |\n| IntegralDivisors | log(LCM(A,B))=log(A)+log(B)−log(GCD(A,B)) |\n| EulerCharacteristic | χ=V−E+F |\n| SphericalExcess | (A+B+C)−π |\n| ThreeSlitProblem | I(A,B,C)=\\|A(cid:116)B(cid:116)C\\|−\\|A(cid:116)B\\|−\\|A(cid:116)C\\|−\\|B(cid:116)C\\|+\\|A\\|+\\|B\\|+\\|C\\|3 |",1]
["| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) |\n| --- | --- |\n| ProbabilityTheory | P(A∨B\\|I)=P(A\\|I)+P(B\\|I)−P(A,B\\|I) |","| Symbol | Deﬁnition |\n| --- | --- |\n| )G=(V,E0G0 | \\|truegraphwithn=\\|V\\|andm=\\|EG0 |\n| G=(V,E,p) | uncertaingraphconstructedfromG0 |\n| G=(V,E)G | samplegraphfromG,G(cid:118)G |\n| d(G),d(G)uu | degreeofnodeuinG,G |\n| ∆(d) | numberofnodeshavingdegreedinG |\n| N(u) | neighborsofnodeuinG |\n| Rσ | truncatednormaldistributionon[0,1] |\n| r←Reσ | asamplefromthedistributionRσ |\n| p(p)iuv | probabilityofedgee(e)iuv |\n| np | numberofpotentialedges,\\|E\\|=m+np |\n| A,A | adjacencymatricesofG,G0 |\n| PRW | randomwalktransitionmatrixofG0 |\n| B | uncertainadjacencymatrix,B=AP |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",0]
["| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) |\n| --- | --- |\n| ProbabilityTheory | P(A∨B\\|I)=P(A\\|I)+P(B\\|I)−P(A,B\\|I) |\n| InformationTheory | I(A;B)=H(A)+H(B)−H(A,B) |\n| Polya’sMinMaxRule | max(A,B)=A+B−min(A,B) |\n| IntegralDivisors | log(LCM(A,B))=log(A)+log(B)−log(GCD(A,B)) |\n| EulerCharacteristic | χ=V−E+F |","| SphericalExcess | (A+B+C)−π |\n| --- | --- |\n| ThreeSlitProblem | I(A,B,C)=\\|A(cid:116)B(cid:116)C\\|−\\|A(cid:116)B\\|−\\|A(cid:116)C\\|−\\|B(cid:116)C\\|+\\|A\\|+\\|B\\|+\\|C\\|3 |",1]
["| MeasuresonSets | m(A∪B)=m(A)+m(B)−m(A∩B) |\n| --- | --- |\n| ProbabilityTheory | P(A∨B\\|I)=P(A\\|I)+P(B\\|I)−P(A,B\\|I) |\n| InformationTheory | I(A;B)=H(A)+H(B)−H(A,B) |\n| Polya’sMinMaxRule | max(A,B)=A+B−min(A,B) |\n| IntegralDivisors | log(LCM(A,B))=log(A)+log(B)−log(GCD(A,B)) |\n| EulerCharacteristic | χ=V−E+F |","| d(G),d(G)uu | degreeofnodeuinG,G |\n| --- | --- |\n| ∆(d) | numberofnodeshavingdegreedinG |\n| N(u) | neighborsofnodeuinG |\n| Rσ | truncatednormaldistributionon[0,1] |\n| r←Reσ | asamplefromthedistributionRσ |\n| p(p)iuv | probabilityofedgee(e)iuv |\n| np | numberofpotentialedges,\\|E\\|=m+np |\n| A,A | adjacencymatricesofG,G0 |\n| PRW | randomwalktransitionmatrixofG0 |\n| B | uncertainadjacencymatrix,B=AP |\n| t | walklength |\n| S | switchingmatrix |\n| TV | totaldegreevariance |",0]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 |\n| CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 |\n| CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 |\n| CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 |","| CSP+SVM(8∼21Hz) | - | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(1∼7Hz) | 66.43 | 65.00 | 62.14 | 65.00 | 64.29 | 66.43 | 66.43 | 66.43 | 65.71 | 65.71 |\n| CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 |\n| CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 |\n| CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 |\n| CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |",1]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 |\n| CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 |\n| CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 |\n| CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 |","| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(AllChannels) | 39.73 | 39.73 | 41.10 | 39.73 | 39.73 | 39.73 | 36.99 | 39.73 | 39.73 | 36.99 |\n| CPD+SVM(AllChannels) | 28.77 | 32.88 | 30.14 | 28.77 | 27.40 | 21.92 | 30.14 | 24.66 | 27.40 | 32.88 |\n| CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 |\n| CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 |\n| CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |",0]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 |\n| CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 |\n| CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - |","| ProposedMethod(8∼21Hz) | 80.71 | 81.43 | 80.00 | 82.14 | 81.43 | 81.43 | 81.43 | 79.29 | 80.00 | 79.29 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CPD+SVM(8∼21Hz) | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 | 83.57 |\n| CSP+SVM(8∼21Hz) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(1∼7Hz) | 66.43 | 65.00 | 62.14 | 65.00 | 64.29 | 66.43 | 66.43 | 66.43 | 65.71 | 65.71 |\n| CPD+SVM(1∼7Hz) | 50.00 | 50.71 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.71 | 50.00 | 50.00 |\n| CSP+SVM(1∼7Hz) | - | - | - | - | - | - | - | - | - | - |\n| ProposedMethod(22∼30Hz) | 70.71 | 71.43 | 71.43 | 68.57 | 71.43 | 68.57 | 70.00 | 68.57 | 69.29 | 70.71 |\n| CPD+SVM(22∼30Hz) | 56.43 | 50.00 | 50.00 | 56.43 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 | 50.00 |\n| CSP+SVM(22∼30Hz) | - | - | - | - | - | - | - | - | - | - |",1]
["| Conditions | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(FullBand) | 82.14 | 80.71 | 79.29 | 82.14 | 80.71 | 82.14 | 82.14 | 81.43 | 80.00 | 79.29 |\n| CPD+SVM(FullBand) | 46.43 | 83.57 | 83.57 | 83.57 | 83.57 | 46.43 | 46.43 | 83.57 | 83.57 | 46.43 |\n| CSP+SVM(FullBand) | - | - | - | - | - | - | - | - | - | - |","| CSP+SVM(AllChannels) | - | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ProposedMethod(OptimalChannels) | 42.47 | 41.10 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 42.47 | 41.10 | 42.47 |\n| CPD+SVM(OptimalChannels) | 32.88 | 30.14 | 30.14 | 30.14 | 32.88 | 31.51 | 28.77 | 31.51 | 30.14 | 27.40 |\n| CSP+SVM(OptimalChannels) | - | - | - | - | - | - | - | - | - | - |",0]
["| Number |\n| --- |\n| 143 |\n| 581 |\n| 206 |","| 121 |\n| --- |\n| 80 |\n| 70 |\n| 145 |",1]
["| Number |\n| --- |\n| 143 |\n| 581 |\n| 206 |","| 12626 | 84 |\n| --- | --- |\n| 8799 | 122 |\n| 12488 | 87 |\n| 8799 | 94 |\n| 12488 | 150 |\n| 12625 | 44 |\n| 12626 | 110 |",0]
["| Number |\n| --- |\n| 143 |","| 581 |\n| --- |\n| 206 |\n| 121 |\n| 80 |\n| 70 |\n| 145 |",1]
["| Number |\n| --- |\n| 143 |","| 8799 | 94 |\n| --- | --- |\n| 12488 | 150 |\n| 12625 | 44 |\n| 12626 | 110 |",0]
["| Level | Symbol | Meaning | Description |\n| --- | --- | --- | --- |\n| 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue |\n| 2 | inv | invalid | Valuenotpermittedinconstraineddomain |\n| 3 | oth | other | Actualvaluenotpermittedinconstraineddomain |\n| 4 | ninf | negativeinﬁnity | Negativeinﬁnityonnumbers |\n| 4 | pinf | positiveinﬁnity | Positiveinﬁnityonnumbers |","| 3 | unc | unencoded | Informationnotencoded(yet) |\n| --- | --- | --- | --- |\n| 3 | der | derived | Actualvaluemustbederived |\n| 2 | unk | unknown | Propervalueisapplicablebutnotknown |\n| 3 | asku | askedbutunknown | Informationsoughtbutnotfound |\n| 4 | nav | temporarilyunavailable | Expectedtobeavailablelater |\n| 3 | qs | suﬃcientquantity | Quantitynotknownbutnon-zero |\n| 3 | nask | notasked | Informationnotsought |\n| 3 | trc | trace | Greaterthanzerobuttoosmallforquantiﬁcation |\n| 2 | msk | masked | Informationavailablebutnotprovided |\n| 2 | na | notapplicable | Novalueapplicableincontext |",1]
["| Level | Symbol | Meaning | Description |\n| --- | --- | --- | --- |\n| 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue |\n| 2 | inv | invalid | Valuenotpermittedinconstraineddomain |\n| 3 | oth | other | Actualvaluenotpermittedinconstraineddomain |\n| 4 | ninf | negativeinﬁnity | Negativeinﬁnityonnumbers |\n| 4 | pinf | positiveinﬁnity | Positiveinﬁnityonnumbers |","| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Level | Symbol | Meaning | Description |\n| --- | --- | --- | --- |\n| 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue |\n| 2 | inv | invalid | Valuenotpermittedinconstraineddomain |\n| 3 | oth | other | Actualvaluenotpermittedinconstraineddomain |\n| 4 | ninf | negativeinﬁnity | Negativeinﬁnityonnumbers |\n| 4 | pinf | positiveinﬁnity | Positiveinﬁnityonnumbers |\n| 3 | unc | unencoded | Informationnotencoded(yet) |\n| 3 | der | derived | Actualvaluemustbederived |","| 2 | unk | unknown | Propervalueisapplicablebutnotknown |\n| --- | --- | --- | --- |\n| 3 | asku | askedbutunknown | Informationsoughtbutnotfound |\n| 4 | nav | temporarilyunavailable | Expectedtobeavailablelater |\n| 3 | qs | suﬃcientquantity | Quantitynotknownbutnon-zero |\n| 3 | nask | notasked | Informationnotsought |\n| 3 | trc | trace | Greaterthanzerobuttoosmallforquantiﬁcation |\n| 2 | msk | masked | Informationavailablebutnotprovided |\n| 2 | na | notapplicable | Novalueapplicableincontext |",1]
["| Level | Symbol | Meaning | Description |\n| --- | --- | --- | --- |\n| 1 | ni | noinformation | Defaultandmostgeneralexceptionalvalue |\n| 2 | inv | invalid | Valuenotpermittedinconstraineddomain |\n| 3 | oth | other | Actualvaluenotpermittedinconstraineddomain |\n| 4 | ninf | negativeinﬁnity | Negativeinﬁnityonnumbers |\n| 4 | pinf | positiveinﬁnity | Positiveinﬁnityonnumbers |\n| 3 | unc | unencoded | Informationnotencoded(yet) |\n| 3 | der | derived | Actualvaluemustbederived |","| sboost | Permanenceboostingscalingfactor |\n| --- | --- |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Featurename |\n| --- |\n| beforepreviousword |\n| beforepreviouswordPOStag |","| previousword |\n| --- |\n| previouswordPOStag |\n| nextword |\n| nextwordPOStag |\n| nextwordpregloss |\n| afternextword |\n| afternextPOStag |",1]
["| Featurename |\n| --- |\n| beforepreviousword |\n| beforepreviouswordPOStag |","| Featurename |\n| --- |\n| Likelihoodmodelprobability |\n| unigramprobability |\n| previousbigramprobability |\n| nextbigramprobability |\n| trigramprobability |\n| languagemodelproduct |\n| collocationleft |\n| collocationright |\n| collocationmid |\n| collocationproduct |\n| cooccurrencedistance1 |\n| cooccurrencedistance2 |\n| cooccurrencedistance3 |\n| previousgender |\n| previousnumber |\n| nextgender |\n| nextnumber |",0]
["| Featurename |\n| --- |\n| beforepreviousword |","| beforepreviouswordPOStag |\n| --- |\n| previousword |\n| previouswordPOStag |\n| nextword |\n| nextwordPOStag |\n| nextwordpregloss |\n| afternextword |\n| afternextPOStag |",1]
["| Featurename |\n| --- |\n| beforepreviousword |","| cooccurrencedistance1 |\n| --- |\n| cooccurrencedistance2 |\n| cooccurrencedistance3 |\n| previousgender |\n| previousnumber |\n| nextgender |\n| nextnumber |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| SquareChnDetector | 20.55 | 439.1 |\n| R-FCN | 6.02 | 5.46 |\n| FasterR-CNN | 5.91 | 6.60 |","| CountForest | 4.40 | 2.40 |\n| --- | --- | --- |\n| ExemplaryDensity | 1.82 | 2.74 |\n| BoostingCNN | 2.01 | N/A |\n| MoCNN | 2.75 | 13.40 |\n| WeightedVLAD | 2.41 | 9.12 |\n| DecideNet | 1.52 | 1.90 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| SquareChnDetector | 20.55 | 439.1 |\n| R-FCN | 6.02 | 5.46 |\n| FasterR-CNN | 5.91 | 6.60 |","| Method | Np | MAE | RMSE |\n| --- | --- | --- | --- |\n| YOLO | - | 102.89 | 110.02 |\n| FasterR-CNN | 200 | 103.48 | 110.64 |\n| *YOLO | - | 48.89 | 57.55 |\n| *FasterR-CNN | 200 | 47.45 | 57.39 |\n| *FasterR-CNN(RPN-small) | 200 | 24.32 | 37.62 |\n| †One-LookRegression | - | 59.46 | 66.84 |\n| OurCarCountingCNNModel | 200 | 23.80 | 36.79 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| SquareChnDetector | 20.55 | 439.1 |\n| R-FCN | 6.02 | 5.46 |","| FasterR-CNN | 5.91 | 6.60 |\n| --- | --- | --- |\n| CountForest | 4.40 | 2.40 |\n| ExemplaryDensity | 1.82 | 2.74 |\n| BoostingCNN | 2.01 | N/A |\n| MoCNN | 2.75 | 13.40 |\n| WeightedVLAD | 2.41 | 9.12 |\n| DecideNet | 1.52 | 1.90 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| SquareChnDetector | 20.55 | 439.1 |\n| R-FCN | 6.02 | 5.46 |","| FasterR-CNN | 200 | 103.48 | 110.64 |\n| --- | --- | --- | --- |\n| *YOLO | - | 48.89 | 57.55 |\n| *FasterR-CNN | 200 | 47.45 | 57.39 |\n| *FasterR-CNN(RPN-small) | 200 | 24.32 | 37.62 |\n| †One-LookRegression | - | 59.46 | 66.84 |\n| OurCarCountingCNNModel | 200 | 23.80 | 36.79 |",0]
["| Network | Mean | stddev | Solved | Good | Mediocre | Bad |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 |\n| 2 | 362.7 | 139.69 | 0 | 0 | 108 | 892 |\n| A | 515.97 | 288.8 | 1 | 64 | 328 | 607 |","| B | 466.2 | 265.2 | 1 | 48 | 242 | 709 |\n| --- | --- | --- | --- | --- | --- | --- |\n| C | 563.3 | 329.8 | 3 | 74 | 360 | 563 |",1]
["| Network | Mean | stddev | Solved | Good | Mediocre | Bad |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 |\n| 2 | 362.7 | 139.69 | 0 | 0 | 108 | 892 |\n| A | 515.97 | 288.8 | 1 | 64 | 328 | 607 |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.00001 | 0.000305 | 12 | 10.953 |\n| 0.00002 | 0.000305 | 13 | 10.656 |\n| 0.00003 | 0.000305 | 12 | 10.516 |\n| 0.00004 | 0.000305 | 12 | 11.703 |\n| 0.00005 | 0.000305 | 13 | 11.610 |\n| 0.00006 | 0.000305 | 13 | 11.547 |\n| 0.00007 | 0.000305 | 13 | 11.672 |\n| 0.00008 | 0.000305 | 13 | 11.813 |\n| 0.00009 | 0.000305 | 13 | 11.813 |\n| 0.0001 | 0.000305 | 13 | 11.890 |\n| 0.0002 | 0.000305 | 14 | 13.110 |\n| 0.0003 | 0.000306 | 14 | 13.110 |\n| 0.0004 | 0.000308 | 16 | 15.407 |\n| 0.0005 | 0.000310 | 24 | 22.844 |\n| 0.0006 | 0.000312 | 15 | 14.250 |\n| 0.0007 | 0.000315 | 15 | 14.328 |\n| 0.0008 | 0.000319 | 32 | 30.563 |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",0]
["| Network | Mean | stddev | Solved | Good | Mediocre | Bad |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 |","| 2 | 362.7 | 139.69 | 0 | 0 | 108 | 892 |\n| --- | --- | --- | --- | --- | --- | --- |\n| A | 515.97 | 288.8 | 1 | 64 | 328 | 607 |\n| B | 466.2 | 265.2 | 1 | 48 | 242 | 709 |\n| C | 563.3 | 329.8 | 3 | 74 | 360 | 563 |",1]
["| Network | Mean | stddev | Solved | Good | Mediocre | Bad |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 376.16 | 151.95 | 0 | 1 | 113 | 886 |","| 0.0002 | 0.000305 | 14 | 13.110 |\n| --- | --- | --- | --- |\n| 0.0003 | 0.000306 | 14 | 13.110 |\n| 0.0004 | 0.000308 | 16 | 15.407 |\n| 0.0005 | 0.000310 | 24 | 22.844 |\n| 0.0006 | 0.000312 | 15 | 14.250 |\n| 0.0007 | 0.000315 | 15 | 14.328 |\n| 0.0008 | 0.000319 | 32 | 30.563 |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",0]
["| #Concordants |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |\n| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |\n| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |\n| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |\n| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |\n| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |","| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |\n| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |\n| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |\n| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |\n| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",1]
["| #Concordants |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |\n| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |\n| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |\n| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |\n| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |\n| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |","| #Methods |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 49.90 | 65.68 | 68.26 | 66.38 | 67.09 | 68.68 | 66.70 | 69.68 |\n| aisoposntua | 41.90 | 59.21 | 57.78 | 61.56 | 59.99 | 58.13 | 59.78 | 65.21 |\n| tweetsemevaltest | 39.54 | 56.31 | 61.51 | 61.65 | 62.06 | 62.94 | 62.26 | 62.64 |\n| sentistrengthtwitter | 36.26 | 49.24 | 56.20 | 57.88 | 57.91 | 57.96 | 57.50 | 58.68 |\n| sentistrengthyoutube | 38.14 | 50.01 | 54.98 | 56.56 | 57.13 | 55.83 | 55.45 | 56.93 |\n| sentistrengthmyspace | 26.88 | 44.94 | 47.37 | 53.04 | 52.91 | 51.53 | 46.99 | 55.00 |\n| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |\n| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |\n| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |\n| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |\n| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |\n| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",0]
["| #Concordants |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |","| aisoposntua | 60.93 | 60.54 | 56.87 | 57.74 | 64.14 | 59.65 | 54.58 | 58.93 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| tweetsemevaltest | 63.54 | 63.58 | 63.64 | 63.47 | 63.82 | 61.56 | 59.36 | 59.15 |\n| sentistrengthtwitter | 56.75 | 58.32 | 59.13 | 58.34 | 57.58 | 55.35 | 54.27 | 57.44 |\n| sentistrengthyoutube | 55.63 | 55.22 | 55.67 | 56.39 | 56.65 | 55.44 | 54.69 | 54.50 |\n| sanders | 56.23 | 55.72 | 55.94 | 55.64 | 55.27 | 52.73 | 50.77 | 48.14 |\n| sentistrengthdigg | 51.13 | 51.29 | 53.86 | 54.58 | 51.51 | 50.98 | 48.06 | 51.83 |\n| sentistrengthmyspace | 46.76 | 48.30 | 48.71 | 50.31 | 50.52 | 51.02 | 54.34 | 39.44 |\n| sentistrengthrw | 48.96 | 50.09 | 46.62 | 49.73 | 49.00 | 46.52 | 46.03 | 47.58 |\n| sentistrengthbbc | 49.15 | 50.62 | 46.95 | 47.41 | 46.31 | 45.04 | 45.75 | 46.57 |\n| debate | 45.61 | 45.82 | 43.69 | 43.97 | 44.47 | 44.99 | 43.57 | 43.10 |\n| nikolaosted | 46.29 | 44.71 | 48.13 | 46.43 | 46.97 | 47.52 | 44.50 | 47.24 |\n| vadernyt | 36.13 | 36.19 | 36.32 | 37.35 | 38.21 | 36.89 | 32.54 | 34.02 |",1]
["| #Concordants |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DATASET | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |\n| englishdailabor | 69.58 | 69.18 | 69.23 | 68.50 | 66.91 | 64.81 | 59.58 | 60.75 |","| sentistrengthmyspace | 26.88 | 44.94 | 47.37 | 53.04 | 52.91 | 51.53 | 46.99 | 55.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| sanders | 46.40 | 54.22 | 54.34 | 54.59 | 55.84 | 57.14 | 54.30 | 53.03 |\n| sentistrengthdigg | 28.16 | 43.62 | 48.67 | 50.44 | 50.59 | 52.47 | 51.55 | 54.18 |\n| sentistrengthrw | 30.47 | 42.60 | 50.37 | 48.30 | 49.55 | 48.61 | 47.39 | 47.30 |\n| sentistrengthbbc | 21.92 | 35.79 | 45.35 | 47.15 | 48.41 | 49.45 | 47.34 | 45.72 |\n| debate | 25.10 | 34.03 | 41.40 | 45.76 | 45.17 | 45.11 | 42.74 | 45.06 |\n| nikolaosted | 24.42 | 34.82 | 41.32 | 42.44 | 46.19 | 44.11 | 44.80 | 42.56 |\n| vadernyt | 9.38 | 19.64 | 30.27 | 34.97 | 37.42 | 36.83 | 36.98 | 37.97 |",0]
["| Cells | ρ | u | v | p |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Error | Rate | Error | Rate | Error | Rate | Error | Rate |","| 100×100 | 2.802E-6 | - | 4.464E-6 | - | 4.464E-6 | - | 9.183E-6 | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 200×200 | 5.982E-7 | 2.23 | 1.114E-6 | 2.00 | 1.114E-6 | 2.00 | 2.308E-6 | 1.99 |\n| 400×400 | 1.377E-7 | 2.12 | 2.779E-7 | 2.00 | 2.779E-7 | 2.00 | 5.781E-7 | 1.99 |\n| 800×800 | 3.338E-8 | 2.05 | 6.939E-8 | 2.00 | 6.939E-8 | 2.00 | 1.447E-7 | 1.99 |",1]
["| Cells | ρ | u | v | p |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Error | Rate | Error | Rate | Error | Rate | Error | Rate |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| Cells | ρ | u | v | p |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Error | Rate | Error | Rate | Error | Rate | Error | Rate |\n| 100×100 | 2.802E-6 | - | 4.464E-6 | - | 4.464E-6 | - | 9.183E-6 | - |","| 200×200 | 5.982E-7 | 2.23 | 1.114E-6 | 2.00 | 1.114E-6 | 2.00 | 2.308E-6 | 1.99 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 400×400 | 1.377E-7 | 2.12 | 2.779E-7 | 2.00 | 2.779E-7 | 2.00 | 5.781E-7 | 1.99 |\n| 800×800 | 3.338E-8 | 2.05 | 6.939E-8 | 2.00 | 6.939E-8 | 2.00 | 1.447E-7 | 1.99 |",1]
["| Cells | ρ | u | v | p |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Error | Rate | Error | Rate | Error | Rate | Error | Rate |\n| 100×100 | 2.802E-6 | - | 4.464E-6 | - | 4.464E-6 | - | 9.183E-6 | - |","| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["| Cube,n=100,000 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 73.24 | 235.57 | 1520 | 27520 |\n| Approx | 64.63 | 162.47 | 3210 | 16990 |\n| Har-Peled | 207.52 | 24020 | 119890 | 138240 |\n| Hybrid1 | 87.23 | 180.31 | 17960 | 15450 |\n| Hybrid2 | 87.59 | 171.43 | 11800 | 12230 |\n| Algorithm?? | 5.3 | 7.2 | 8.5 | 10.9 |\n| Algorithm??-5 | 7.33 | 9.62 | 12.14 | 14.55 |\n| Algorithm??-3 | 4.41 | 5.77 | 7.34 | 8.99 |\n| Algorithm??-2 | 2.99 | 3.89 | 4.85 | 5.9 |\n| Ball,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 68770 | 111590 | 178430 | 264660 |\n| Approx | 18550 | 48600 | 105200 | 168390 |\n| Har-Peled | 86680 | 102800 | 120200 | 137530 |\n| Hybrid1 | 93940 | 136260 | 73620 | 222960 |\n| Hybrid2 | 71350 | 100030 | 146520 | 218510 |","| Algorithm?? | 5.5 | 6.42 | 8.12 | 9.46 |\n| --- | --- | --- | --- | --- |\n| Algorithm??-5 | 7.25 | 9.58 | 11.98 | 14.35 |\n| Algorithm??-3 | 4.38 | 5.87 | 7.29 | 8.64 |\n| Algorithm??-2 | 2.89 | 3.89 | 4.82 | 5.79 |\n| Ellipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 58 | 1110 | 770 | 2760 |\n| Approx | 31.9 | 504 | 589 | 1300 |\n| Har-Peled | 3040 | 109760 | 127280 | 134070 |\n| Hybrid1 | 90 | 2280 | 3240 | 5580 |\n| Hybrid2 | 98 | 2020 | 3900 | 5200 |\n| Algorithm?? | 5.21 | 6.9 | 7.28 | 9.5 |\n| Algorithm??-5 | 7.3 | 9.5 | 12.1 | 16.5 |\n| Algorithm??-3 | 4.39 | 5.79 | 7.2 | 8.6 |\n| Algorithm??-2 | 2.988 | 4.2 | 4.9 | 5.8 |\n| RegularEllipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 24 | 350 | 150 | 2280 |\n| Approx | 31.7 | 285 | 110.5 | 1440 |\n| Har-Peled | 530 | 62010 | 123720 | 133850 |\n| Hybrid1 | 71 | 308 | 3430 | 4070 |\n| Hybrid2 | 72.9 | 268 | 4590 | 119.5 |\n| Algorithm?? | 5.06 | 6.84 | 8.22 | 10.7 |\n| Algorithm??-5 | 7.3 | 11.2 | 12.2 | 17.8 |\n| Algorithm??-3 | 4.39 | 5.95 | 7.3 | 8.65 |\n| Algorithm??-2 | 2.952 | 4.05 | 4.8 | 5.8 |",1]
["| Cube,n=100,000 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 73.24 | 235.57 | 1520 | 27520 |\n| Approx | 64.63 | 162.47 | 3210 | 16990 |\n| Har-Peled | 207.52 | 24020 | 119890 | 138240 |\n| Hybrid1 | 87.23 | 180.31 | 17960 | 15450 |\n| Hybrid2 | 87.59 | 171.43 | 11800 | 12230 |\n| Algorithm?? | 5.3 | 7.2 | 8.5 | 10.9 |\n| Algorithm??-5 | 7.33 | 9.62 | 12.14 | 14.55 |\n| Algorithm??-3 | 4.41 | 5.77 | 7.34 | 8.99 |\n| Algorithm??-2 | 2.99 | 3.89 | 4.85 | 5.9 |\n| Ball,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 68770 | 111590 | 178430 | 264660 |\n| Approx | 18550 | 48600 | 105200 | 168390 |\n| Har-Peled | 86680 | 102800 | 120200 | 137530 |\n| Hybrid1 | 93940 | 136260 | 73620 | 222960 |\n| Hybrid2 | 71350 | 100030 | 146520 | 218510 |","| Input<br>Points | Cube<br>10,000 | Cube<br>100,000 | Cube<br>1,000,000 | Ball<br>10,000 | Ball<br>100,000 | Ball<br>200,000 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Exact | 1.2 | 6 | 72 | 0.23 | 1.88 | 7.43 |\n| Approx | 0.3 | 0.7 | 41 | 0.2 | 1.97 | 3.9 |\n| Har-Peled | 2 | 16 | 322 | 0.39 | 10 | 41.70 |\n| Hybrid1 | 2 | 17 | 183 | 1.5 | 16.9 | 63.11 |\n| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |\n| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |\n| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |\n| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |\n| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |\n| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |\n| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |\n| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |\n| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |\n| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |\n| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |\n| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 |",0]
["| Cube,n=100,000 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 73.24 | 235.57 | 1520 | 27520 |\n| Approx | 64.63 | 162.47 | 3210 | 16990 |\n| Har-Peled | 207.52 | 24020 | 119890 | 138240 |\n| Hybrid1 | 87.23 | 180.31 | 17960 | 15450 |\n| Hybrid2 | 87.59 | 171.43 | 11800 | 12230 |\n| Algorithm?? | 5.3 | 7.2 | 8.5 | 10.9 |\n| Algorithm??-5 | 7.33 | 9.62 | 12.14 | 14.55 |\n| Algorithm??-3 | 4.41 | 5.77 | 7.34 | 8.99 |\n| Algorithm??-2 | 2.99 | 3.89 | 4.85 | 5.9 |\n| Ball,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 68770 | 111590 | 178430 | 264660 |\n| Approx | 18550 | 48600 | 105200 | 168390 |\n| Har-Peled | 86680 | 102800 | 120200 | 137530 |\n| Hybrid1 | 93940 | 136260 | 73620 | 222960 |\n| Hybrid2 | 71350 | 100030 | 146520 | 218510 |\n| Algorithm?? | 5.5 | 6.42 | 8.12 | 9.46 |\n| Algorithm??-5 | 7.25 | 9.58 | 11.98 | 14.35 |\n| Algorithm??-3 | 4.38 | 5.87 | 7.29 | 8.64 |\n| Algorithm??-2 | 2.89 | 3.89 | 4.82 | 5.79 |\n| Ellipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 58 | 1110 | 770 | 2760 |\n| Approx | 31.9 | 504 | 589 | 1300 |","| Har-Peled | 3040 | 109760 | 127280 | 134070 |\n| --- | --- | --- | --- | --- |\n| Hybrid1 | 90 | 2280 | 3240 | 5580 |\n| Hybrid2 | 98 | 2020 | 3900 | 5200 |\n| Algorithm?? | 5.21 | 6.9 | 7.28 | 9.5 |\n| Algorithm??-5 | 7.3 | 9.5 | 12.1 | 16.5 |\n| Algorithm??-3 | 4.39 | 5.79 | 7.2 | 8.6 |\n| Algorithm??-2 | 2.988 | 4.2 | 4.9 | 5.8 |\n| RegularEllipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 24 | 350 | 150 | 2280 |\n| Approx | 31.7 | 285 | 110.5 | 1440 |\n| Har-Peled | 530 | 62010 | 123720 | 133850 |\n| Hybrid1 | 71 | 308 | 3430 | 4070 |\n| Hybrid2 | 72.9 | 268 | 4590 | 119.5 |\n| Algorithm?? | 5.06 | 6.84 | 8.22 | 10.7 |\n| Algorithm??-5 | 7.3 | 11.2 | 12.2 | 17.8 |\n| Algorithm??-3 | 4.39 | 5.95 | 7.3 | 8.65 |\n| Algorithm??-2 | 2.952 | 4.05 | 4.8 | 5.8 |",1]
["| Cube,n=100,000 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 73.24 | 235.57 | 1520 | 27520 |\n| Approx | 64.63 | 162.47 | 3210 | 16990 |\n| Har-Peled | 207.52 | 24020 | 119890 | 138240 |\n| Hybrid1 | 87.23 | 180.31 | 17960 | 15450 |\n| Hybrid2 | 87.59 | 171.43 | 11800 | 12230 |\n| Algorithm?? | 5.3 | 7.2 | 8.5 | 10.9 |\n| Algorithm??-5 | 7.33 | 9.62 | 12.14 | 14.55 |\n| Algorithm??-3 | 4.41 | 5.77 | 7.34 | 8.99 |\n| Algorithm??-2 | 2.99 | 3.89 | 4.85 | 5.9 |\n| Ball,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 68770 | 111590 | 178430 | 264660 |\n| Approx | 18550 | 48600 | 105200 | 168390 |\n| Har-Peled | 86680 | 102800 | 120200 | 137530 |\n| Hybrid1 | 93940 | 136260 | 73620 | 222960 |\n| Hybrid2 | 71350 | 100030 | 146520 | 218510 |\n| Algorithm?? | 5.5 | 6.42 | 8.12 | 9.46 |\n| Algorithm??-5 | 7.25 | 9.58 | 11.98 | 14.35 |\n| Algorithm??-3 | 4.38 | 5.87 | 7.29 | 8.64 |\n| Algorithm??-2 | 2.89 | 3.89 | 4.82 | 5.79 |\n| Ellipse,n=100,000 |  |  |  |  |\n| Input | d=6 | d=9 | d=12 | d=15 |\n| Exact | 58 | 1110 | 770 | 2760 |\n| Approx | 31.9 | 504 | 589 | 1300 |","| Hybrid2 | 1.94 | 16 | 163 | 1.4 | 27.4 | 62.11 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Algorithm?? | 0.25 | 3.1 | 30.9 | 0.32 | 2.68 | 5.3 |\n| Algorithm??-5 | 0.34 | 3.6 | 38 | 0.52 | 3.981 | 7.574 |\n| Algorithm??-3 | 0.21 | 2.31 | 26.32 | 0.214 | 2.19 | 4.557 |\n| Algorithm??-2 | 0.18 | 1.49 | 17.48 | 0.148 | 1.48 | 3.08 |\n| Input<br>Points | Sphere<br>10,000 | Sphere<br>100,000 | Sphere<br>200,000 | Ellipsoid<br>1,000,000 | Ellipsoidrotated<br>1,000,000 | Ellipsoidregular<br>1,000,000 |\n| Exact | 0.29 | 3.03 | 5.9 | 100.28 | 52.81 | 51.86 |\n| Approx | 0.27 | 2.8 | 5.7 | 106.08 | 51.92 | 52.53 |\n| Har-Peled | 122.71 | 7.96 | 33.27 | 284.69 | 103.88 | 113.8 |\n| Hybrid1 | 1.29 | 0.75 | 3.22 | 95.19 | 66.65 | 66.93 |\n| Hybrid2 | 1.43 | 0.71 | 2.94 | 0.114 | 65.1 | 68.75 |\n| Algorithm?? | 0.27 | 2.6 | 6.1 | 23.5 | 26.84 | 27.8 |\n| Algorithm??-5 | 0.34 | 3.59 | 7.69 | 44.3 | 38.65 | 38.89 |\n| Algorithm??-3 | 0.23 | 2.17 | 4.56 | 25.89 | 23.91 | 23.39 |\n| Algorithm??-2 | 0.14 | 1.53 | 3.66 | 15.23 | 15.77 | 15.44 |",0]
["| FormModel | I | II | III | IV |\n| --- | --- | --- | --- | --- |\n| Male/Right-Handed | 3983 | 6492 | 4132 | 2542 |","| Male/Left-Handed | 386 | 364 | 248 | 182 |\n| --- | --- | --- | --- | --- |\n| Female/Right-Handed | 1536 | 1788 | 2150 | 827 |\n| Female/Left-Handed | 56 | 124 | 168 | 136 |\n| Total | 5961 | 8768 | 6698 | 3687 |",1]
["| FormModel | I | II | III | IV |\n| --- | --- | --- | --- | --- |\n| Male/Right-Handed | 3983 | 6492 | 4132 | 2542 |","| Age | 10<br>6<br>10×nPBMC | numberofindividuals |\n| --- | --- | --- |\n| 0 | 5.03 | 48 |\n| 1-4 | 4.93 | 53 |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |\n| 20-24 | 3.88 | 26 |\n| 25-29 | 3.75 | 47 |\n| 30-34 | 3.61 | 65 |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",0]
["| FormModel | I | II | III | IV |\n| --- | --- | --- | --- | --- |\n| Male/Right-Handed | 3983 | 6492 | 4132 | 2542 |","| Male/Left-Handed | 386 | 364 | 248 | 182 |\n| --- | --- | --- | --- | --- |\n| Female/Right-Handed | 1536 | 1788 | 2150 | 827 |\n| Female/Left-Handed | 56 | 124 | 168 | 136 |\n| Total | 5961 | 8768 | 6698 | 3687 |",1]
["| FormModel | I | II | III | IV |\n| --- | --- | --- | --- | --- |\n| Male/Right-Handed | 3983 | 6492 | 4132 | 2542 |","| 15-19 | 4.56 | 33 |\n| --- | --- | --- |\n| 20-24 | 3.88 | 26 |\n| 25-29 | 3.75 | 47 |\n| 30-34 | 3.61 | 65 |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",0]
["| Servers | PIRcomplexity | QPIRcomplexity |\n| --- | --- | --- |\n| k=1 | Θ(n) | Θ(n) |","| k=2 | O(n) | O(n) |\n| --- | --- | --- |\n| k=3 | O(n) | O(n) |\n| k=4 | O(n) | O(n) |",1]
["| Servers | PIRcomplexity | QPIRcomplexity |\n| --- | --- | --- |\n| k=1 | Θ(n) | Θ(n) |","| Queries | LengthofLDC | LengthofLQDC |\n| --- | --- | --- |\n| q=1 | don’texist | Θ(n)<br>2 |\n| q=2 | Θ(n)<br>2 | O(n)<br>2 |\n| q=3 | O(n)<br>2 | O(n)<br>2 |\n| q=4 | O(n)<br>2 | O(n)<br>2 |",0]
["| Servers | PIRcomplexity | QPIRcomplexity |\n| --- | --- | --- |\n| k=1 | Θ(n) | Θ(n) |\n| k=2 | O(n) | O(n) |","| k=3 | O(n) | O(n) |\n| --- | --- | --- |\n| k=4 | O(n) | O(n) |",1]
["| Servers | PIRcomplexity | QPIRcomplexity |\n| --- | --- | --- |\n| k=1 | Θ(n) | Θ(n) |\n| k=2 | O(n) | O(n) |","| q=3 | O(n)<br>2 | O(n)<br>2 |\n| --- | --- | --- |\n| q=4 | O(n)<br>2 | O(n)<br>2 |",0]
["| M | L | N | g1 | g2 | M | L | N | g1 | g2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | 32 | 64 | 16 | 2 | 64 | 64 | 64 | 32 | 2 |","| 64 | 64 | 128 | 16 | 4 | 128 | 128 | 128 | 32 | 4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 128 | 128 | 256 | 32 | 4 | 256 | 256 | 256 | 64 | 4 |\n| 256 | 256 | 512 | 32 | 8 | 512 | 512 | 512 | 64 | 8 |\n| 512 | 512 | 1024 | 64 | 8 | 1024 | 1024 | 1024 | 128 | 8 |",1]
["| M | L | N | g1 | g2 | M | L | N | g1 | g2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | 32 | 64 | 16 | 2 | 64 | 64 | 64 | 32 | 2 |","| G2<br>G1 | R3 | vRq443 | qRv341 | P3 | P4 | Q |\n| --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1 | 2a | 2b | 3 | 4 | 5 |\n| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| M | L | N | g1 | g2 | M | L | N | g1 | g2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | 32 | 64 | 16 | 2 | 64 | 64 | 64 | 32 | 2 |\n| 64 | 64 | 128 | 16 | 4 | 128 | 128 | 128 | 32 | 4 |","| 128 | 128 | 256 | 32 | 4 | 256 | 256 | 256 | 64 | 4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 256 | 256 | 512 | 32 | 8 | 512 | 512 | 512 | 64 | 8 |\n| 512 | 512 | 1024 | 64 | 8 | 1024 | 1024 | 1024 | 128 | 8 |",1]
["| M | L | N | g1 | g2 | M | L | N | g1 | g2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | 32 | 64 | 16 | 2 | 64 | 64 | 64 | 32 | 2 |\n| 64 | 64 | 128 | 16 | 4 | 128 | 128 | 128 | 32 | 4 |","| vRp221 | 6a | 7a | 7c | 8a | 9a | 10a |\n| --- | --- | --- | --- | --- | --- | --- |\n| pRv123 | 6b | 7b | 7d | 8b | 9b | 10b |\n| P1 | 11 | 12 | 12 | 13 | 14 | 15 |\n| P2 | 16 | 17a | 17b | 18 | 19 | 20 |\n| P | 21 | 22a | 22b | 23 | 24 | 25 |",0]
["| Corpus | Trainset | Devset | Testset |\n| --- | --- | --- | --- |\n| sentences | 5661 | 939 | 961 |\n| disease | 5148 | 791 | 961 |\n| spe.dis. | 2959 | 409 | 556 |","| diseaseclass | 781 | 127 | 121 |\n| --- | --- | --- | --- |\n| modiﬁer | 1292 | 218 | 264 |\n| comp.men. | 116 | 37 | 20 |",1]
["| Corpus | Trainset | Devset | Testset |\n| --- | --- | --- | --- |\n| sentences | 5661 | 939 | 961 |\n| disease | 5148 | 791 | 961 |\n| spe.dis. | 2959 | 409 | 556 |","| Corpus |\n| --- |\n| DUC’04MedicinaCl´ınicaPistes |\n| 0.80’2.88’1.13’<br>0.40’0.26’0.53’<br>0.33’0.26’0.41’<br>0.31’0.26’0.38’ |\n| DUC’04MedicinaCl´ınicaPistes |\n| 1.71’3.10’2.70’<br>1.35’0.40’2.11’<br>1.30’0.38’2.13’<br>0.41’0.28’0.51’ |\n| DUC’04MedicinaCl´ınicaPistes |\n| 9.25’3.38’18.63’<br>9.28’0.75’18.38’<br>9.16’0.73’20.76’<br>3.93’0.46’8.35’ |",0]
["| Corpus | Trainset | Devset | Testset |\n| --- | --- | --- | --- |\n| sentences | 5661 | 939 | 961 |\n| disease | 5148 | 791 | 961 |\n| spe.dis. | 2959 | 409 | 556 |\n| diseaseclass | 781 | 127 | 121 |","| modiﬁer | 1292 | 218 | 264 |\n| --- | --- | --- | --- |\n| comp.men. | 116 | 37 | 20 |",1]
["| Corpus | Trainset | Devset | Testset |\n| --- | --- | --- | --- |\n| sentences | 5661 | 939 | 961 |\n| disease | 5148 | 791 | 961 |\n| spe.dis. | 2959 | 409 | 556 |\n| diseaseclass | 781 | 127 | 121 |","| DUC’04MedicinaCl´ınicaPistes |\n| --- |\n| 9.25’3.38’18.63’<br>9.28’0.75’18.38’<br>9.16’0.73’20.76’<br>3.93’0.46’8.35’ |",0]
["| SchematicStructure |\n| --- |\n| - |\n| (G,(GO,T),G) |","|  |\n| --- |\n| (G,T,G) |\n|  |\n|  |\n|  |\n| (G,T,G) |\n|  |\n|  |\n|  |",1]
["| SchematicStructure |\n| --- |\n| - |\n| (G,(GO,T),G) |","| SchematicStructure |\n| --- |\n| - |\n| (V,P,(A,T),P,V) |\n| (V,P,A,P,V) |\n|  |\n| (V,P,A,P,V) |\n|  |",0]
["| SchematicStructure |\n| --- |\n| - |\n| (G,(GO,T),G) |\n|  |\n| (G,T,G) |\n|  |\n|  |\n|  |\n| (G,T,G) |","|  |\n| --- |\n|  |\n|  |",1]
["| SchematicStructure |\n| --- |\n| - |\n| (G,(GO,T),G) |\n|  |\n| (G,T,G) |\n|  |\n|  |\n|  |\n| (G,T,G) |","| (V,P,(A,T),P,V) |\n| --- |\n| (V,P,A,P,V) |\n|  |\n| (V,P,A,P,V) |\n|  |",0]
["| PDF | LOχ/N | NLOχ/N |\n| --- | --- | --- |\n| Alekhin | 3.34 | 29.1 |\n| CTEQ6 | 1.67 | 2.02 |\n| CTEQ5 | 3.25 | 6.48 |\n| CTEQ4 | 2.23 | 2.41 |","| MRST02 | 2.24 | 1.89 |\n| --- | --- | --- |\n| GRV98 | 8.47 | 9.58 |",1]
["| PDF | LOχ/N | NLOχ/N |\n| --- | --- | --- |\n| Alekhin | 3.34 | 29.1 |\n| CTEQ6 | 1.67 | 2.02 |\n| CTEQ5 | 3.25 | 6.48 |\n| CTEQ4 | 2.23 | 2.41 |","| n | k | O-MMR | C-MMR | DP-H | RI-GA | HI-GA |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| µ | σ | µ | σ | µ | σ | µ | σ | µ | σ |  |  |\n| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |\n| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 |  |\n| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |\n| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 |  |\n| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |\n| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 |  |\n| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |\n| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 |  |\n| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 |  |",0]
["| PDF | LOχ/N | NLOχ/N |\n| --- | --- | --- |\n| Alekhin | 3.34 | 29.1 |\n| CTEQ6 | 1.67 | 2.02 |","| CTEQ5 | 3.25 | 6.48 |\n| --- | --- | --- |\n| CTEQ4 | 2.23 | 2.41 |\n| MRST02 | 2.24 | 1.89 |\n| GRV98 | 8.47 | 9.58 |",1]
["| PDF | LOχ/N | NLOχ/N |\n| --- | --- | --- |\n| Alekhin | 3.34 | 29.1 |\n| CTEQ6 | 1.67 | 2.02 |","| 25 | 5 | .398 | .070 | .380 | .066 | .398 | .069 | .448 | .061 | .464 | .056 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | .759 | .044 | .767 | .050 | .759 | .045 | .705 | .048 | .767 | .044 |  |\n| 50 | 10 | .585 | .047 | .561 | .046 | .585 | .046 | .459 | .047 | .588 | .044 |\n| 25 | .908 | .013 | .910 | .013 | .908 | .015 | .685 | .038 | .910 | .036 |  |\n| 100 | 25 | .832 | .019 | .829 | .024 | .831 | .020 | .445 | .043 | .831 | .019 |\n| 50 | .950 | .006 | .950 | .006 | .941 | .006 | .559 | .030 | .950 | .006 |  |\n| 250 | 25 | .654 | .021 | .639 | .022 | .654 | .021 | .121 | .029 | .681 | .028 |\n| 50 | .890 | .008 | .886 | .009 | .889 | .008 | .221 | .027 | .891 | .008 |  |\n| 100 | .969 | .002 | .970 | .002 | .969 | .002 | .348 | .022 | .970 | .022 |  |",0]
["|  | Usage | Pessimism | Addiction |\n| --- | --- | --- | --- |\n| Neuroticism | .009 | .180 | .426** |\n| Extraversion | .116 | -.048 | -.043 |\n| Openness | -.019 | .004 | .055 |","| Agreeableness | -.053 | -.111 | -.042 |\n| --- | --- | --- | --- |\n| Conscientiousness | .186 | .025 | -.241* |\n| Usage | 1 | .684** | -.009 |\n| Pessimism | .684** | 1 | .078 |\n| Addiction | -.009 | .078 | 1 |",1]
["|  | Usage | Pessimism | Addiction |\n| --- | --- | --- | --- |\n| Neuroticism | .009 | .180 | .426** |\n| Extraversion | .116 | -.048 | -.043 |\n| Openness | -.019 | .004 | .055 |","|  | NoFBaccount |\n| --- | --- |\n| Neuroticism | -.070 |\n| Extraversion | -.170 |\n| Openness | -.301** |\n| Agreeableness | -.118 |\n| Conscientiousness | -.127 |",0]
["|  | Usage | Pessimism | Addiction |\n| --- | --- | --- | --- |\n| Neuroticism | .009 | .180 | .426** |\n| Extraversion | .116 | -.048 | -.043 |\n| Openness | -.019 | .004 | .055 |\n| Agreeableness | -.053 | -.111 | -.042 |\n| Conscientiousness | .186 | .025 | -.241* |","| Usage | 1 | .684** | -.009 |\n| --- | --- | --- | --- |\n| Pessimism | .684** | 1 | .078 |\n| Addiction | -.009 | .078 | 1 |",1]
["|  | Usage | Pessimism | Addiction |\n| --- | --- | --- | --- |\n| Neuroticism | .009 | .180 | .426** |\n| Extraversion | .116 | -.048 | -.043 |\n| Openness | -.019 | .004 | .055 |\n| Agreeableness | -.053 | -.111 | -.042 |\n| Conscientiousness | .186 | .025 | -.241* |","| Agreeableness | -.118 |\n| --- | --- |\n| Conscientiousness | -.127 |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083621434±0.004965813 | 0.083429753±0.001831579 |","| 2 | 0.188976794 | 0.188976856 | 0.189157158±0.008679919 | 0.189075507±0.003140080 |\n| --- | --- | --- | --- | --- |\n| 3 | 0.323793458 | 0.323793385 | 0.323707145±0.008193784 | 0.323798214±0.003014369 |\n| 4 | 0.303363752 | 0.303363594 | 0.302934079±0.008740126 | 0.303259705±0.003202237 |\n| 5 | 0.095303269 | 0.095303242 | 0.095385891±0.009795472 | 0.095321415±0.003651414 |\n| 6 | 0.005092100 | 0.005092104 | 0.005182087±0.001441913 | 0.005103134±0.000523627 |\n| 7 | 0.000012417 | 0.000012417 | 0.000012208±0.000039393 | 0.000012271±0.000014530 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083621434±0.004965813 | 0.083429753±0.001831579 |","| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083847726±0.004951031 | 0.083431054±0.001784843 |\n| 2 | 0.188976794 | 0.188976856 | 0.189757389±0.008688261 | 0.188963523±0.003113784 |\n| 3 | 0.323793458 | 0.323793385 | 0.324344385±0.008153945 | 0.323768419±0.002991134 |\n| 4 | 0.303363752 | 0.303363594 | 0.302252763±0.008952148 | 0.303332755±0.003156650 |\n| 5 | 0.095303269 | 0.095303242 | 0.094714212±0.009595910 | 0.095374789±0.003633155 |\n| 6 | 0.005092100 | 0.005092104 | 0.005069262±0.001446734 | 0.005116963±0.000521156 |\n| 7 | 0.000012417 | 0.000012417 | 0.000014264±0.000041576 | 0.000012496±0.000014498 |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083621434±0.004965813 | 0.083429753±0.001831579 |\n| 2 | 0.188976794 | 0.188976856 | 0.189157158±0.008679919 | 0.189075507±0.003140080 |","| 3 | 0.323793458 | 0.323793385 | 0.323707145±0.008193784 | 0.323798214±0.003014369 |\n| --- | --- | --- | --- | --- |\n| 4 | 0.303363752 | 0.303363594 | 0.302934079±0.008740126 | 0.303259705±0.003202237 |\n| 5 | 0.095303269 | 0.095303242 | 0.095385891±0.009795472 | 0.095321415±0.003651414 |\n| 6 | 0.005092100 | 0.005092104 | 0.005182087±0.001441913 | 0.005103134±0.000523627 |\n| 7 | 0.000012417 | 0.000012417 | 0.000012208±0.000039393 | 0.000012271±0.000014530 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083621434±0.004965813 | 0.083429753±0.001831579 |\n| 2 | 0.188976794 | 0.188976856 | 0.189157158±0.008679919 | 0.189075507±0.003140080 |","| 6 | 0.005092100 | 0.005092104 | 0.005069262±0.001446734 | 0.005116963±0.000521156 |\n| --- | --- | --- | --- | --- |\n| 7 | 0.000012417 | 0.000012417 | 0.000014264±0.000041576 | 0.000012496±0.000014498 |",0]
["| Model | Kodak<br>PSNRMSESSIMMSSSIM |  |  |  |\n| --- | --- | --- | --- | --- |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.6540<br>27.9513<br>27.9613<br>28.5037<br>28.5461<br>28.5036<br>28.5452 | 111.604<br>104.214<br>103.9802<br>91.772<br>90.8801<br>91.774<br>90.8975 | 0.7733<br>0.7849<br>0.8017<br>0.8052<br>0.8108<br>0.8051<br>0.8107 | 0.9291<br>0.9357<br>0.9557<br>0.9559<br>0.9608<br>0.9559<br>0.9605 |\n| Model | ImageCompressionBenchmark,8-bit<br>PSNRMSESSIMMSSSIM |  |  |  |","| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.5481<br>27.7882<br>27.8458<br>28.0208<br>28.0852<br>28.0215<br>28.0193 | 114.3583<br>108.2081<br>106.7805<br>102.5632<br>101.0562<br>102.5489<br>102.6014 | 0.8330<br>0.8390<br>0.8396<br>0.8402<br>0.8404<br>0.8401<br>0.8395 | 0.9383<br>0.9438<br>0.9562<br>0.9549<br>0.9561<br>0.9549<br>0.9563 |\n| --- | --- | --- | --- | --- |\n| Model | ImageCompressionBenchmark,16-bit<br>PSNRMSESSIMMSSSIM |  |  |  |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.5368<br>27.7762<br>27.8830<br>28.0093<br>28.0795<br>28.0081<br>28.0247 | 114.6580<br>108.5056<br>105.8712<br>102.8369<br>101.1876<br>102.8649<br>102.4710 | 0.8331<br>0.8390<br>0.8391<br>0.8399<br>0.8407<br>0.8392<br>0.8310 | 0.9383<br>0.9438<br>0.9468<br>0.9471<br>0.9480<br>0.9469<br>0.9471 |\n| Model | ImageCompressionBenchmark,16-bit-Linear<br>PSNRMSESSIMMSSSIM |  |  |  |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 31.7522<br>32.0269<br>32.1275<br>32.4038<br>32.4467<br>32.4038<br>32.4032 | 43.4366<br>40.7746<br>39.8412<br>37.3847<br>37.0180<br>37.3844<br>37.3908 | 0.8355<br>0.8356<br>0.8369<br>0.8403<br>0.8406<br>0.8379<br>0.8371 | 0.9455<br>0.9454<br>0.9533<br>0.9535<br>0.9541<br>0.9533<br>0.9532 |",1]
["| Model | Kodak<br>PSNRMSESSIMMSSSIM |  |  |  |\n| --- | --- | --- | --- | --- |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.6540<br>27.9513<br>27.9613<br>28.5037<br>28.5461<br>28.5036<br>28.5452 | 111.604<br>104.214<br>103.9802<br>91.772<br>90.8801<br>91.774<br>90.8975 | 0.7733<br>0.7849<br>0.8017<br>0.8052<br>0.8108<br>0.8051<br>0.8107 | 0.9291<br>0.9357<br>0.9557<br>0.9559<br>0.9608<br>0.9559<br>0.9605 |\n| Model | ImageCompressionBenchmark,8-bit<br>PSNRMSESSIMMSSSIM |  |  |  |","| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",0]
["| Model | Kodak<br>PSNRMSESSIMMSSSIM |  |  |  |\n| --- | --- | --- | --- | --- |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.6540<br>27.9513<br>27.9613<br>28.5037<br>28.5461<br>28.5036<br>28.5452 | 111.604<br>104.214<br>103.9802<br>91.772<br>90.8801<br>91.774<br>90.8975 | 0.7733<br>0.7849<br>0.8017<br>0.8052<br>0.8108<br>0.8051<br>0.8107 | 0.9291<br>0.9357<br>0.9557<br>0.9559<br>0.9608<br>0.9559<br>0.9605 |\n| Model | ImageCompressionBenchmark,8-bit<br>PSNRMSESSIMMSSSIM |  |  |  |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.5481<br>27.7882<br>27.8458<br>28.0208<br>28.0852<br>28.0215<br>28.0193 | 114.3583<br>108.2081<br>106.7805<br>102.5632<br>101.0562<br>102.5489<br>102.6014 | 0.8330<br>0.8390<br>0.8396<br>0.8402<br>0.8404<br>0.8401<br>0.8395 | 0.9383<br>0.9438<br>0.9562<br>0.9549<br>0.9561<br>0.9549<br>0.9563 |","| Model | ImageCompressionBenchmark,16-bit<br>PSNRMSESSIMMSSSIM |  |  |  |\n| --- | --- | --- | --- | --- |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.5368<br>27.7762<br>27.8830<br>28.0093<br>28.0795<br>28.0081<br>28.0247 | 114.6580<br>108.5056<br>105.8712<br>102.8369<br>101.1876<br>102.8649<br>102.4710 | 0.8331<br>0.8390<br>0.8391<br>0.8399<br>0.8407<br>0.8392<br>0.8310 | 0.9383<br>0.9438<br>0.9468<br>0.9471<br>0.9480<br>0.9469<br>0.9471 |\n| Model | ImageCompressionBenchmark,16-bit-Linear<br>PSNRMSESSIMMSSSIM |  |  |  |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 31.7522<br>32.0269<br>32.1275<br>32.4038<br>32.4467<br>32.4038<br>32.4032 | 43.4366<br>40.7746<br>39.8412<br>37.3847<br>37.0180<br>37.3844<br>37.3908 | 0.8355<br>0.8356<br>0.8369<br>0.8403<br>0.8406<br>0.8379<br>0.8371 | 0.9455<br>0.9454<br>0.9533<br>0.9535<br>0.9541<br>0.9533<br>0.9532 |",1]
["| Model | Kodak<br>PSNRMSESSIMMSSSIM |  |  |  |\n| --- | --- | --- | --- | --- |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.6540<br>27.9513<br>27.9613<br>28.5037<br>28.5461<br>28.5036<br>28.5452 | 111.604<br>104.214<br>103.9802<br>91.772<br>90.8801<br>91.774<br>90.8975 | 0.7733<br>0.7849<br>0.8017<br>0.8052<br>0.8108<br>0.8051<br>0.8107 | 0.9291<br>0.9357<br>0.9557<br>0.9559<br>0.9608<br>0.9559<br>0.9605 |\n| Model | ImageCompressionBenchmark,8-bit<br>PSNRMSESSIMMSSSIM |  |  |  |\n| JPEG<br>MLP<br>GOOG<br>∆-RNN<br>∆-RNN(ortho)<br>GRU<br>LSTM | 27.5481<br>27.7882<br>27.8458<br>28.0208<br>28.0852<br>28.0215<br>28.0193 | 114.3583<br>108.2081<br>106.7805<br>102.5632<br>101.0562<br>102.5489<br>102.6014 | 0.8330<br>0.8390<br>0.8396<br>0.8402<br>0.8404<br>0.8401<br>0.8395 | 0.9383<br>0.9438<br>0.9562<br>0.9549<br>0.9561<br>0.9549<br>0.9563 |","| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",0]
["| Description |\n| --- |\n| Impression |\n|  |\n|  |\n| Stylecomparison |","|  |\n| --- |\n|  |",1]
["| Description |\n| --- |\n| Impression |\n|  |\n|  |\n| Stylecomparison |","| Metric | Mean1 | Mean2 |\n| --- | --- | --- |\n| LikedAgent | 2.75 | 3 |\n| LikesAgents | 3.38 | 3.72 |\n| Engaging | 2.75 | 3.14 |\n| Enjoyment | 2.75 | 3.14 |\n| Vocabulary | 2.63 | 2.72 |\n| Naturalness | 1.88 | 2.15 |\n| Clarity | 2.63 | 2.86 |\n| BackgroundKnowledge | 3.63 | 3.43 |\n| BackgroundExperience | 2.75 | 2.57 |\n| AgentsBehaviors | 2.63 | 2.72 |\n| ConversationalAbilities | 3.13 | 3.01 |\n| EmpathicAbilities | 3.13 | 2.86 |",0]
["| Description |\n| --- |\n| Impression |","|  |\n| --- |\n|  |\n| Stylecomparison |\n|  |\n|  |",1]
["| Description |\n| --- |\n| Impression |","| AgentsBehaviors | 2.63 | 2.72 |\n| --- | --- | --- |\n| ConversationalAbilities | 3.13 | 3.01 |\n| EmpathicAbilities | 3.13 | 2.86 |",0]
["|  | English | Italian |\n| --- | --- | --- |\n| Train:Sentences | 10,231,392 |  |\n| Tokens | 117M | 115M |\n| Vocabulary | 493K | 582K |\n| Singletons | 239K | 257K |","| Dev.:Sentences | 910 | 910 |\n| --- | --- | --- |\n| Tokens | 10,818 | 11,159 |\n| Vocabulary | 4,422 | 4,481 |\n| OOVs | 321 | 310 |\n| TestSentences | 910 | 910 |\n| Tokens | 10,814 | 11,241 |\n| Vocabulary | 4,487 | 4,532 |\n| OOVs | 337 | 321 |",1]
["|  | English | Italian |\n| --- | --- | --- |\n| Train:Sentences | 10,231,392 |  |\n| Tokens | 117M | 115M |\n| Vocabulary | 493K | 582K |\n| Singletons | 239K | 257K |","| DataSet | Sentences# | Tokens# |\n| --- | --- | --- |\n| Training | 14,987 | 203,621 |\n| Develop | 3,466 | 51,362 |\n| Test | 3,684 | 46,435 |\n| #oftagtypes(IOBESscheme) | 17 |  |",0]
["|  | English | Italian |\n| --- | --- | --- |\n| Train:Sentences | 10,231,392 |  |\n| Tokens | 117M | 115M |\n| Vocabulary | 493K | 582K |","| Singletons | 239K | 257K |\n| --- | --- | --- |\n| Dev.:Sentences | 910 | 910 |\n| Tokens | 10,818 | 11,159 |\n| Vocabulary | 4,422 | 4,481 |\n| OOVs | 321 | 310 |\n| TestSentences | 910 | 910 |\n| Tokens | 10,814 | 11,241 |\n| Vocabulary | 4,487 | 4,532 |\n| OOVs | 337 | 321 |",1]
["|  | English | Italian |\n| --- | --- | --- |\n| Train:Sentences | 10,231,392 |  |\n| Tokens | 117M | 115M |\n| Vocabulary | 493K | 582K |","| Test | 3,684 | 46,435 |\n| --- | --- | --- |\n| #oftagtypes(IOBESscheme) | 17 |  |",0]
["| m,msc | modulusinPailliergeneratedby(S,C) |\n| --- | --- |\n| g,gsc | baseinPailliergeneratedby(S,C) |\n| PK,PKsc | publickeysofSandC |\n| SK,SKsc | privatekeysofSandC |\n| E(x),E(x)sc | Encryptionofmessagexusing(PK,PK)sc |\n| [x],[x] | denotesxisencryptedusing(PK,PK)sc |\n| D([x]),D([x])sc | Decryptionofciphertextxusing(SK,SK)sc |\n| d(a,b) | Distancebetweenpointsaandb |\n| U,USC | usersetsofSandC |\n| U | supersetofUandUSC |","| UI | U∩USC |\n| --- | --- |\n| n,n,n,nscI | totalnumberofusersin(U,U,U,U)SCI |\n| F | setofexistingfacilitiesofC |\n| k | totalnumberofexistingfacilities |\n| q,Q | result(value,set)ofthequery |\n| w | randomnumbergreaterthanqinMAXQ |",1]
["| m,msc | modulusinPailliergeneratedby(S,C) |\n| --- | --- |\n| g,gsc | baseinPailliergeneratedby(S,C) |\n| PK,PKsc | publickeysofSandC |\n| SK,SKsc | privatekeysofSandC |\n| E(x),E(x)sc | Encryptionofmessagexusing(PK,PK)sc |\n| [x],[x] | denotesxisencryptedusing(PK,PK)sc |\n| D([x]),D([x])sc | Decryptionofciphertextxusing(SK,SK)sc |\n| d(a,b) | Distancebetweenpointsaandb |\n| U,USC | usersetsofSandC |\n| U | supersetofUandUSC |","| Ω | Universeofallvalidentities(unknownsize) |\n| --- | --- |\n| r | Avaliduniqueentityordataitem |\n| D | Groundtruthortheunderlyingpopulation |\n| S | Observedsampleofsizen=\\|S\\|,withduplicates |\n| K | IntegrateddatabasewithonlyuniqueentitiesfromS |\n| U | UnknownunknownsthatexistinD,butnotinSorK |\n| M0 | UnknownunknownsdistributionmassinD |\n| c | ThenumberofuniquedataitemsinS;c=\\|K\\| |\n| sj | Sourcejwithn=\\|s\\|dataitemsjj |\n| N | Thesizeofthegroundtruth;N=\\|D\\| |\n| φ | Theaggregatedqueryresult:e.g.,φ(overD)D |\n| ∆ | Theimpactofunknownunknowns:∆=φ−φDK |\n| fj | Afrequencystatistic,i.e.,thenumberofdataitems<br>withexactlyjoccurrencesinS. |\n| F | Thesetoffrequencystatistics,{f,f,...,f}12n |\n| ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |\n| γ | Coeﬃcientofvariance(dataskewmeasure) |\n| C | Samplecoverage,alsoC=1−M0 |",0]
["| m,msc | modulusinPailliergeneratedby(S,C) |\n| --- | --- |\n| g,gsc | baseinPailliergeneratedby(S,C) |\n| PK,PKsc | publickeysofSandC |\n| SK,SKsc | privatekeysofSandC |","| E(x),E(x)sc | Encryptionofmessagexusing(PK,PK)sc |\n| --- | --- |\n| [x],[x] | denotesxisencryptedusing(PK,PK)sc |\n| D([x]),D([x])sc | Decryptionofciphertextxusing(SK,SK)sc |\n| d(a,b) | Distancebetweenpointsaandb |\n| U,USC | usersetsofSandC |\n| U | supersetofUandUSC |\n| UI | U∩USC |\n| n,n,n,nscI | totalnumberofusersin(U,U,U,U)SCI |\n| F | setofexistingfacilitiesofC |\n| k | totalnumberofexistingfacilities |\n| q,Q | result(value,set)ofthequery |\n| w | randomnumbergreaterthanqinMAXQ |",1]
["| m,msc | modulusinPailliergeneratedby(S,C) |\n| --- | --- |\n| g,gsc | baseinPailliergeneratedby(S,C) |\n| PK,PKsc | publickeysofSandC |\n| SK,SKsc | privatekeysofSandC |","| ρ | Thecorrelationbetweenpublicityandvaluedistribut-<br>ions,i.e.,publicity-valuecorrelation |\n| --- | --- |\n| γ | Coeﬃcientofvariance(dataskewmeasure) |\n| C | Samplecoverage,alsoC=1−M0 |",0]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| Gray-scaleData | 28.43 | 04.28 |\n| RGBData | 39.20 | 35.07 |","| MSData | 55.12 | 50.91 |\n| --- | --- | --- |\n| OFDS | 12.66 | 12.66 |\n| LoFT | 60.30 | 40.50 |\n| Sum-rule | 50.17 | 45.25 |\n| VarianceRatio | 48.26 | 44.56 |\n| HFT | 69.78 | 60.30 |\n| Ours(HLT) | 64.37 | 57.49 |",1]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| Gray-scaleData | 28.43 | 04.28 |\n| RGBData | 39.20 | 35.07 |","| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| 2Groups | 48.50 | 45.28 |\n| 3Groups | 55.27 | 48.81 |\n| 6Groups | 60.11 | 55.39 |\n| 12Groups | 64.37 | 57.49 |\n| 20Groups | 55.65 | 51.50 |",0]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| Gray-scaleData | 28.43 | 04.28 |\n| RGBData | 39.20 | 35.07 |\n| MSData | 55.12 | 50.91 |\n| OFDS | 12.66 | 12.66 |\n| LoFT | 60.30 | 40.50 |","| Sum-rule | 50.17 | 45.25 |\n| --- | --- | --- |\n| VarianceRatio | 48.26 | 44.56 |\n| HFT | 69.78 | 60.30 |\n| Ours(HLT) | 64.37 | 57.49 |",1]
["| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| Gray-scaleData | 28.43 | 04.28 |\n| RGBData | 39.20 | 35.07 |\n| MSData | 55.12 | 50.91 |\n| OFDS | 12.66 | 12.66 |\n| LoFT | 60.30 | 40.50 |","| 6Groups | 60.11 | 55.39 |\n| --- | --- | --- |\n| 12Groups | 64.37 | 57.49 |\n| 20Groups | 55.65 | 51.50 |",0]
["| ID | Description |\n| --- | --- |\n| 1 | Thenewinstructionatline2 |\n| 2 | Thelist.addoperationatline4and7 |\n| 3 | Thearithmeticaddoperationatline3,4,5,and7 |\n| 4 | Thecomparisoninstructionatline3,5,and6 |","| 5 | Theassignmentinstructionatline2,3,and5 |\n| --- | --- |\n| 6 | Thesystem.out.printlnatline11 |",1]
["| ID | Description |\n| --- | --- |\n| 1 | Thenewinstructionatline2 |\n| 2 | Thelist.addoperationatline4and7 |\n| 3 | Thearithmeticaddoperationatline3,4,5,and7 |\n| 4 | Thecomparisoninstructionatline3,5,and6 |","| Variable | Description |\n| --- | --- |\n| j | theidentiﬁeroftheneighbor |\n| tj | theageoftheneighbor |\n| aj | theattributevalueoftheneighbor |\n| rj | therandomvalueoftheneighbor |",0]
["| ID | Description |\n| --- | --- |\n| 1 | Thenewinstructionatline2 |","| 2 | Thelist.addoperationatline4and7 |\n| --- | --- |\n| 3 | Thearithmeticaddoperationatline3,4,5,and7 |\n| 4 | Thecomparisoninstructionatline3,5,and6 |\n| 5 | Theassignmentinstructionatline2,3,and5 |\n| 6 | Thesystem.out.printlnatline11 |",1]
["| ID | Description |\n| --- | --- |\n| 1 | Thenewinstructionatline2 |","| tj | theageoftheneighbor |\n| --- | --- |\n| aj | theattributevalueoftheneighbor |\n| rj | therandomvalueoftheneighbor |",0]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Birmingham,AL | 484,818 | SantaAna,CA | 90,030 | Portland,ME |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Birmingham,AL | 484,818 | SantaAna,CA | 90,030 | Portland,ME |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1 | 0 | 0 | 0 | 272 |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",0]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Birmingham,AL | 484,818 | SantaAna,CA | 90,030 | Portland,ME |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |",1]
["|  |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Birmingham,AL | 484,818 | SantaAna,CA | 90,030 | Portland,ME |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |\n|  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |\n|  |  |  |  |  |  |",0]
["| Rond | Brid | Chin |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 |\n| yrrbby | ryybbr | yrrybb | ryyrbb | brrbyy | yrbybr | rbyryb | brybyr |\n| Sint |  |  |  |  |  |  |  |","| t9 | t10 | t11 | t12 | t13 | t14 |\n| --- | --- | --- | --- | --- | --- |\n| brbyyr | bybrry | ryrbby | rbryyb | ybyrrb | yrybbr |",1]
["| Rond | Brid | Chin |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 |\n| yrrbby | ryybbr | yrrybb | ryyrbb | brrbyy | yrbybr | rbyryb | brybyr |\n| Sint |  |  |  |  |  |  |  |","| Tile<br>Number | Orientation |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 2 | 3 | 4 | 5 | 6 |  |\n| 1 | yrrbby | yyrrbb | byyrrb | bbyyrr | rbbyyr | rrbbyy |\n| 2 | ryybbr | rryybb | brryyb | bbrryy | ybbrry | yybbrr |\n| 3 | yrrybb | byrryb | bbyrry | ybbyrr | rybbyr | rrybby |\n| 4 | ryyrbb | bryyrb | bbryyr | rbbryy | yrbbry | yyrbbr |\n| 5 | brrbyy | ybrrby | yybrrb | byybrr | rbyybr | rrbyyb |\n| 6 | yrbybr | ryrbyb | bryrby | ybryrb | bybryr | rbybry |\n| 7 | rbyryb | brbyry | ybrbyr | rybrby | yrybrb | byrybr |\n| 8 | brybyr | rbryby | yrbryb | byrbry | ybyrbr | rybyrb |\n| 9 | brbyyr | rbrbyy | yrbrby | yyrbrb | byyrbr | rbyyrb |\n| 10 | bybrry | ybybrr | rybybr | rrybyb | brryby | ybrryb |\n| 11 | ryrbby | yryrbb | byryrb | bbyryr | rbbyry | yrbbyr |\n| 12 | rbryyb | brbryy | ybrbry | yybrbr | ryybrb | bryybr |\n| 13 | ybyrrb | bybyrr | rbybyr | rrbyby | yrrbyb | byrrby |\n| 14 | yrybbr | ryrybb | bryryb | bbryry | ybbryr | rybbry |",0]
["| Rond | Brid | Chin |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 |","| yrrbby | ryybbr | yrrybb | ryyrbb | brrbyy | yrbybr | rbyryb | brybyr |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sint |  |  |  |  |  |  |  |\n| t9 | t10 | t11 | t12 | t13 | t14 |  |  |\n| brbyyr | bybrry | ryrbby | rbryyb | ybyrrb | yrybbr |  |  |",1]
["| Rond | Brid | Chin |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| t1 | t2 | t3 | t4 | t5 | t6 | t7 | t8 |","| 1 | yrrbby | yyrrbb | byyrrb | bbyyrr | rbbyyr | rrbbyy |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | ryybbr | rryybb | brryyb | bbrryy | ybbrry | yybbrr |\n| 3 | yrrybb | byrryb | bbyrry | ybbyrr | rybbyr | rrybby |\n| 4 | ryyrbb | bryyrb | bbryyr | rbbryy | yrbbry | yyrbbr |\n| 5 | brrbyy | ybrrby | yybrrb | byybrr | rbyybr | rrbyyb |\n| 6 | yrbybr | ryrbyb | bryrby | ybryrb | bybryr | rbybry |\n| 7 | rbyryb | brbyry | ybrbyr | rybrby | yrybrb | byrybr |\n| 8 | brybyr | rbryby | yrbryb | byrbry | ybyrbr | rybyrb |\n| 9 | brbyyr | rbrbyy | yrbrby | yyrbrb | byyrbr | rbyyrb |\n| 10 | bybrry | ybybrr | rybybr | rrybyb | brryby | ybrryb |\n| 11 | ryrbby | yryrbb | byryrb | bbyryr | rbbyry | yrbbyr |\n| 12 | rbryyb | brbryy | ybrbry | yybrbr | ryybrb | bryybr |\n| 13 | ybyrrb | bybyrr | rbybyr | rrbyby | yrrbyb | byrrby |\n| 14 | yrybbr | ryrybb | bryryb | bbryry | ybbryr | rybbry |",0]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |","| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |\n| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |\n| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |\n| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |\n| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |\n| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |\n| 9 | 8.90 | 11.78 | 10.92 | 10.25 | 12.28 |\n| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |\n| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",1]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |","| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 20.76 | 22.15 | 27.35 | 25.71 | 25.82 |\n| 2 | 19.49 | 21.27 | 23.68 | 23.77 | 23.79 |\n| 3 | 21.89 | 23.98 | 27.56 | 25.80 | 26.12 |\n| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |\n| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |\n| Mean | 21.24 | 23.05 | 27.23 | 25.21 | 25.36 |\n| SD | 1.01 | 1.24 | 1.93 | 0.83 | 0.96 |",0]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |\n| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |\n| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |\n| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |\n| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |\n| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |\n| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |\n| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |","| 9 | 8.90 | 11.78 | 10.92 | 10.25 | 12.28 |\n| --- | --- | --- | --- | --- | --- |\n| 10 | 8.97 | 13.16 | 12.46 | 10.08 | 13.57 |\n| Mean | 10.02 | 12.91 | 12.48 | 11.32 | 13.27 |\n| SD | 1.28 | 1.19 | 1.94 | 1.34 | 1.19 |",1]
["| Case | CRNN | NNPG | SVR | LVX | ARX |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 9.46 | 12.93 | 11.80 | 11.15 | 13.33 |\n| 2 | 8.90 | 12.12 | 10.90 | 14.61 | 12.40 |\n| 3 | 12.70 | 14.75 | 13.49 | 12.07 | 15.48 |\n| 4 | 9.64 | 12.45 | 11.12 | 10.21 | 12.71 |\n| 5 | 8.90 | 11.60 | 10.84 | 10.03 | 11.80 |\n| 6 | 10.13 | 13.72 | 12.20 | 11.95 | 14.29 |\n| 7 | 11.91 | 15.02 | 14.86 | 12.00 | 14.79 |\n| 8 | 10.72 | 11.54 | 12.50 | 10.25 | 12.00 |","| 4 | 21.79 | 23.15 | 27.96 | 24.77 | 24.73 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 22.26 | 24.72 | 29.57 | 25.99 | 25.99 |\n| Mean | 21.24 | 23.05 | 27.23 | 25.21 | 25.36 |\n| SD | 1.01 | 1.24 | 1.93 | 0.83 | 0.96 |",0]
["| Papers | Year |\n| --- | --- |\n|  | 2005 |\n|  | 2006 |\n|  | 2007 |\n|  | 2008 |\n|  | 2010 |\n|  | 2011 |\n|  | 2012 |\n|  | 2013 |\n|  | 2014 |\n|  | 2015 |","|  | 2016 |\n| --- | --- |\n|  | 2017 |",1]
["| Papers | Year |\n| --- | --- |\n|  | 2005 |\n|  | 2006 |\n|  | 2007 |\n|  | 2008 |\n|  | 2010 |\n|  | 2011 |\n|  | 2012 |\n|  | 2013 |\n|  | 2014 |\n|  | 2015 |","|  |  | 1987-1995 | 2006-2008 |\n| --- | --- | --- | --- |\n| Books | diﬀerent | 1984 | 2103 |\n| conﬂict | 2528 | 2776 |  |\n| Newspaper | diﬀerent | 1146 | 1661 |\n| conﬂict | 2368 | 3092 |  |",0]
["| Papers | Year |\n| --- | --- |\n|  | 2005 |\n|  | 2006 |\n|  | 2007 |\n|  | 2008 |\n|  | 2010 |","|  | 2011 |\n| --- | --- |\n|  | 2012 |\n|  | 2013 |\n|  | 2014 |\n|  | 2015 |\n|  | 2016 |\n|  | 2017 |",1]
["| Papers | Year |\n| --- | --- |\n|  | 2005 |\n|  | 2006 |\n|  | 2007 |\n|  | 2008 |\n|  | 2010 |","| Newspaper | diﬀerent | 1146 | 1661 |\n| --- | --- | --- | --- |\n| conﬂict | 2368 | 3092 |  |",0]
["| Method/Struct. | Harm.osc. | Beam | Cant.grand. | Real.grand. |\n| --- | --- | --- | --- | --- |\n| fullsystem |  |  |  |  |\n| ndof<br>nL<br>MC50<br>Freq.domain<br>Timedomain | 1<br>14<br>0.601s<br>0.106s<br>0.112s | 29<br>86<br>20.078s<br>2.672s<br>2.392s | 504<br>1512<br>380.451s<br>74.639s<br>38.915s | 4068<br>12546<br>5484s<br>4178s<br>6507s |","| partialmodaltransform,cfequations(??),(??)and(??) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| neig<br>feig<br>nL<br>MC50<br>Freq.domain<br>Timedomain | –<br>–<br>–<br>–<br>–<br>– | 7<br>37Hz<br>42<br>13.240s<br>1.764s<br>1.588s | 10<br>30Hz<br>524<br>36.214s<br>4.452s<br>2.582s | 50<br>23Hz<br>4510<br>307s<br>734s<br>67s |",1]
["| Method/Struct. | Harm.osc. | Beam | Cant.grand. | Real.grand. |\n| --- | --- | --- | --- | --- |\n| fullsystem |  |  |  |  |\n| ndof<br>nL<br>MC50<br>Freq.domain<br>Timedomain | 1<br>14<br>0.601s<br>0.106s<br>0.112s | 29<br>86<br>20.078s<br>2.672s<br>2.392s | 504<br>1512<br>380.451s<br>74.639s<br>38.915s | 4068<br>12546<br>5484s<br>4178s<br>6507s |","| Alg. | Tr.Fl.1;Te.Fl.3 | Tr.Fl.3;Te.Fl.1 | Alg. |\n| --- | --- | --- | --- |\n| MI-HE(HSD) | 0.304 | 0.449 | MI-SMF(ACE) |\n| M-IHE(ACE) | 0.257 | 0.254 | MI-SMF(SMF) |\n| eFUMI(ACE) | 0.214 | 0.325 | mi-SVM |\n| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",0]
["| Method/Struct. | Harm.osc. | Beam | Cant.grand. | Real.grand. |\n| --- | --- | --- | --- | --- |\n| fullsystem |  |  |  |  |","| ndof<br>nL<br>MC50<br>Freq.domain<br>Timedomain | 1<br>14<br>0.601s<br>0.106s<br>0.112s | 29<br>86<br>20.078s<br>2.672s<br>2.392s | 504<br>1512<br>380.451s<br>74.639s<br>38.915s | 4068<br>12546<br>5484s<br>4178s<br>6507s |\n| --- | --- | --- | --- | --- |\n| partialmodaltransform,cfequations(??),(??)and(??) |  |  |  |  |\n| neig<br>feig<br>nL<br>MC50<br>Freq.domain<br>Timedomain | –<br>–<br>–<br>–<br>–<br>– | 7<br>37Hz<br>42<br>13.240s<br>1.764s<br>1.588s | 10<br>30Hz<br>524<br>36.214s<br>4.452s<br>2.582s | 50<br>23Hz<br>4510<br>307s<br>734s<br>67s |",1]
["| Method/Struct. | Harm.osc. | Beam | Cant.grand. | Real.grand. |\n| --- | --- | --- | --- | --- |\n| fullsystem |  |  |  |  |","| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| --- | --- | --- | --- |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",0]
["| Schemes<br>forCT | Parameters | Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) | Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) | Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) | Proof<br>of<br>Extension<br>(Type4) | Proof<br>of<br>Currency<br>(Type5) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Google | ProofSize | O(logn) | - | - | O(logn) | - |\n| CostofProof<br>Computation | O(logn) | - | - | O(logn) | - |  |\n| CostofProof<br>Veriﬁcation | O(logn) | - | - | O(logn) | - |  |\n| Ryan | ProofSize | - | - | O(logt) | O(logn) | O(logt) |\n| CostofProof<br>Computation | - | - | O(logt) | O(logn) | O(logt) |  |\n| CostofProof<br>Veriﬁcation | - | - | O(logt) | O(logn) | O(logt) |  |\n| Our<br>Scheme | ProofSize | O(logt) | O(1) | O(logt) | O(logn) | O(1) |","| CostofProof<br>Computation | †<br>O(logt) | O(m) | O(logt) | O(logn) | O(logm) |\n| --- | --- | --- | --- | --- | --- |\n| CostofProof<br>Veriﬁcation | †<br>O(logt) | O(1) | O(logt) | O(logn) | O(1) |",1]
["| Schemes<br>forCT | Parameters | Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) | Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) | Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) | Proof<br>of<br>Extension<br>(Type4) | Proof<br>of<br>Currency<br>(Type5) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Google | ProofSize | O(logn) | - | - | O(logn) | - |\n| CostofProof<br>Computation | O(logn) | - | - | O(logn) | - |  |\n| CostofProof<br>Veriﬁcation | O(logn) | - | - | O(logn) | - |  |\n| Ryan | ProofSize | - | - | O(logt) | O(logn) | O(logt) |\n| CostofProof<br>Computation | - | - | O(logt) | O(logn) | O(logt) |  |\n| CostofProof<br>Veriﬁcation | - | - | O(logt) | O(logn) | O(logt) |  |\n| Our<br>Scheme | ProofSize | O(logt) | O(1) | O(logt) | O(logn) | O(1) |","| Tested<br>Scheme | Classiﬁer<br>I | Classiﬁer<br>II | Classiﬁer<br>III | Classiﬁer<br>IV | Classiﬁer<br>V |\n| --- | --- | --- | --- | --- | --- |\n| (i) | O | NRS | NR | - | - |\n| (ii) | O | NRS | NS | - | - |\n| (iii) | O | NRS | RS | - | - |\n| (iv) | O | NS | RS | - | - |\n| (v) | O | NS | NR | - | - |\n| (vi) | O | RS | NR | - | - |\n| (vii) | NRS | NR | RS | - | - |\n| (viii) | NRS | NR | NS | - | - |\n| (ix) | NRS | NS | RS | - | - |\n| (x) | NS | RS | NR | - | - |\n| (xi) | O | NS | RS | NR | NRS |",0]
["| Schemes<br>forCT | Parameters | Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) | Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) | Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) | Proof<br>of<br>Extension<br>(Type4) | Proof<br>of<br>Currency<br>(Type5) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Google | ProofSize | O(logn) | - | - | O(logn) | - |\n| CostofProof<br>Computation | O(logn) | - | - | O(logn) | - |  |\n| CostofProof<br>Veriﬁcation | O(logn) | - | - | O(logn) | - |  |\n| Ryan | ProofSize | - | - | O(logt) | O(logn) | O(logt) |\n| CostofProof<br>Computation | - | - | O(logt) | O(logn) | O(logt) |  |","| CostofProof<br>Veriﬁcation | - | - | O(logt) | O(logn) | O(logt) |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Our<br>Scheme | ProofSize | O(logt) | O(1) | O(logt) | O(logn) | O(1) |\n| CostofProof<br>Computation | †<br>O(logt) | O(m) | O(logt) | O(logn) | O(logm) |  |\n| CostofProof<br>Veriﬁcation | †<br>O(logt) | O(1) | O(logt) | O(logn) | O(1) |  |",1]
["| Schemes<br>forCT | Parameters | Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) | Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) | Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) | Proof<br>of<br>Extension<br>(Type4) | Proof<br>of<br>Currency<br>(Type5) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Google | ProofSize | O(logn) | - | - | O(logn) | - |\n| CostofProof<br>Computation | O(logn) | - | - | O(logn) | - |  |\n| CostofProof<br>Veriﬁcation | O(logn) | - | - | O(logn) | - |  |\n| Ryan | ProofSize | - | - | O(logt) | O(logn) | O(logt) |\n| CostofProof<br>Computation | - | - | O(logt) | O(logn) | O(logt) |  |","| (vi) | O | RS | NR | - | - |\n| --- | --- | --- | --- | --- | --- |\n| (vii) | NRS | NR | RS | - | - |\n| (viii) | NRS | NR | NS | - | - |\n| (ix) | NRS | NS | RS | - | - |\n| (x) | NS | RS | NR | - | - |\n| (xi) | O | NS | RS | NR | NRS |",0]
["| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |","| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| --- | --- |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",1]
["| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |","| Featureindex | Description |\n| --- | --- |\n| 1 | Whetherthecandidateisinthesamesentencewiththeconnective |\n| 2 | Connectiveword |\n| 3 | Down-caseconnectiveword |\n| 4 | Candidateword |\n| 5 | Beforeoraftertheconnectiveword |\n| 6 | Connectivewhereinthesentence(beginning,middle,end) |\n| 7 | 2,6 |\n| 8 | Headtoconnectivethroughtheconstituenttree |\n| 9 | Collapsedpathwithoutpart-of-speech |\n| 10 | Thelengthof8 |\n| 11 | Dependencypathfromargumenttoconnective |\n| 12 | Typeofconnective |",0]
["| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |","| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| --- | --- |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",1]
["| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |","| 10 | Thelengthof8 |\n| --- | --- |\n| 11 | Dependencypathfromargumenttoconnective |\n| 12 | Typeofconnective |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 192 |\n| 2 | 191 |","| 3 | 6 |\n| --- | --- |\n| 4 | 24 |\n| 5 | 137 |\n| 6 | 130 |\n| 7 | 135 |\n| 8 | 129 |\n| 9 | 178 |\n| 10 | transformer3 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 192 |\n| 2 | 191 |","| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 10 |\n| 2 | 93 |\n| 3 | 111 |\n| 4 | 148 |\n| 5 | transformer5 |\n| 6 | 22 |\n| 7 | 28 |\n| 8 | 27 |\n| 9 | 26 |\n| 10 | 25 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 192 |\n| 2 | 191 |\n| 3 | 6 |\n| 4 | 24 |\n| 5 | 137 |","| 6 | 130 |\n| --- | --- |\n| 7 | 135 |\n| 8 | 129 |\n| 9 | 178 |\n| 10 | transformer3 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 192 |\n| 2 | 191 |\n| 3 | 6 |\n| 4 | 24 |\n| 5 | 137 |","| 3 | 111 |\n| --- | --- |\n| 4 | 148 |\n| 5 | transformer5 |\n| 6 | 22 |\n| 7 | 28 |\n| 8 | 27 |\n| 9 | 26 |\n| 10 | 25 |",0]
["| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |\n| RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 |","| WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 |  |",1]
["| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |\n| RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 |","| Lexicon | MEN-3k | RG-65 | WS-353 | TOEFL | SYN-REL | SA |\n| --- | --- | --- | --- | --- | --- | --- |\n| Glove | 73.7 | 76.7 | 60.5 | 89.7 | 67.0 | 79.6 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 1.4<br>0.0<br>2.2<br>–3.6 | 2.9<br>2.7<br>7.5<br>–1.0 | –1.2<br>0.5<br>0.7<br>–5.3 | 5.1<br>5.1<br>2.6<br>2.6 | –0.4<br>–12.4<br>–8.4<br>–7.0 | 1.6<br>0.7<br>0.5<br>0.0 |\n| SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |\n| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 7.0<br>3.6<br>6.7<br>1.8 | 6.1<br>6.4<br>10.2<br>4.0 | 2.0<br>0.6<br>2.3<br>0.0 | 13.1<br>7.3<br>4.4<br>4.4 | 5.3<br>–1.7<br>–0.6<br>–0.6 | 1.1<br>0.0<br>0.2<br>0.2 |\n| Multi | 75.8 | 75.5 | 68.1 | 84.0 | 45.5 | 81.0 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 3.8<br>1.2<br>2.9<br>1.8 | 4.0<br>0.2<br>8.5<br>4.0 | 6.0<br>2.2<br>4.3<br>0.0 | 12.0<br>6.6<br>6.6<br>4.4 | 4.3<br>–12.3<br>–10.6<br>–0.6 | 0.6<br>1.4<br>1.4<br>0.2 |",0]
["| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |","| RG | ESA<br>LSA<br>W2V<br>GloVe | -0.09<br>-0.03<br>-0.11<br>-0.11 | 0.19<br>1.04<br>0.39<br>0.55 | -0.18<br>0.14<br>0.08<br>0.01 | 0.21<br>0.52<br>0.14<br>0.31 | 0.08<br>0.30<br>0.18<br>0.43 | 0.11<br>1.15<br>0.76<br>0.28 | 0.12<br>0.26<br>0.23<br>0.35 | -0.19<br>0.77<br>0.14<br>0.17 | 0.06<br>0.57<br>0.59<br>1.04 | 0.25<br>0.52<br>0.44<br>0.36 | 0.06<br>0.52<br>0.28<br>0.34 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| WS353 | ESA<br>LSA<br>W2V<br>GloVe | 0.08<br>0.12<br>0.14<br>0.10 | 0.40<br>0.43<br>0.19<br>0.41 | -0.07<br>0.19<br>0.09<br>0.00 | 0.18<br>0.45<br>0.14<br>0.41 | -0.18<br>0.09<br>0.08<br>0.00 | -0.02<br>-0.01<br>-0.04<br>-0.14 | -0.07<br>0.27<br>0.33<br>0.28 | -0.07<br>0.21<br>0.04<br>0.30 | 0.60<br>0.34<br>0.12<br>0.28 | -0.13<br>0.01<br>0.00<br>0.04 | 0.07<br>0.21<br>0.11<br>0.17 |\n|  | AVG | 0.06 | 0.52 | 0.13 | 0.36 | 0.23 | 0.29 | 0.70 | 0.22 | 0.59 | 0.82 |  |",1]
["| DS | M | de | fr | ru | it | nl | pt | sv | es | ar | fa | M.AVG |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MC | ESA<br>LSA<br>W2V<br>GloVe | -0.18<br>-0.13<br>-0.02<br>-0.31 | -0.03<br>0.31<br>0.43<br>0.22 | -0.36<br>0.04<br>0.07<br>-0.11 | 0.03<br>0.16<br>0.05<br>0.25 | -0.16<br>0.20<br>0.21<br>0.14 | -0.44<br>0.70<br>1.04<br>-0.10 | 0.31<br>0.27<br>1.00<br>0.51 | -0.32<br>0.17<br>0.13<br>0.26 | -0.16<br>0.50<br>0.88<br>0.85 | 0.03<br>0.68<br>0.09<br>0.75 | -0.13<br>0.29<br>0.39<br>0.25 |","| SG | 67.8 | 72.8 | 65.6 | 85.3 | 73.9 | 81.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 5.4<br>0.7<br>2.5<br>–3.2 | 3.5<br>3.9<br>5.0<br>2.6 | 4.4<br>0.0<br>1.9<br>–4.9 | 10.7<br>9.3<br>9.3<br>1.3 | –2.3<br>–13.6<br>–10.7<br>–7.3 | 0.9<br>0.7<br>–0.3<br>0.5 |\n| GC | 31.3 | 62.8 | 62.3 | 60.8 | 10.9 | 67.8 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 7.0<br>3.6<br>6.7<br>1.8 | 6.1<br>6.4<br>10.2<br>4.0 | 2.0<br>0.6<br>2.3<br>0.0 | 13.1<br>7.3<br>4.4<br>4.4 | 5.3<br>–1.7<br>–0.6<br>–0.6 | 1.1<br>0.0<br>0.2<br>0.2 |\n| Multi | 75.8 | 75.5 | 68.1 | 84.0 | 45.5 | 81.0 |\n| +PPDB<br>+WNsyn<br>+WNall<br>+FN | 3.8<br>1.2<br>2.9<br>1.8 | 4.0<br>0.2<br>8.5<br>4.0 | 6.0<br>2.2<br>4.3<br>0.0 | 12.0<br>6.6<br>6.6<br>4.4 | 4.3<br>–12.3<br>–10.6<br>–0.6 | 0.6<br>1.4<br>1.4<br>0.2 |",0]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |\n| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |\n| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |\n| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |\n| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |\n| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |\n| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |\n| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |\n| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |\n| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |\n| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |\n| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |\n| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |\n| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |\n| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |\n| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |\n| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |\n| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |","| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |\n| --- | --- | --- | --- | --- | --- | --- |\n| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |\n| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |\n| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |\n| ﬁdapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |\n| ﬁdap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 |",1]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |\n| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |\n| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |\n| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |\n| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |\n| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |\n| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |\n| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |\n| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |\n| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |\n| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |\n| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |\n| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |\n| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |\n| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |\n| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |\n| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |\n| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |","| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.ash608 | 125 | 390 | 0.05 | 83 | 2 | 0.016 |\n| L125.will199 | 125 | 386 | 0.05 | 83 | 1 | 0.008 |\n| L125.west0167 | 125 | 444 | 0.06 | 83 | 1 | 0.008 |\n| ash331 | 104 | 331 | 0.06 | 69 | 2 | 0.019 |\n| west0132 | 132 | 560 | 0.06 | 88 | 1 | 0.008 |\n| rw136 | 136 | 641 | 0.07 | 90 | 1 | 0.007 |\n| bcspwr03 | 118 | 576 | 0.08 | 78 | 2 | 0.017 |\n| gre115 | 115 | 576 | 0.09 | 76 | 3 | 0.026 |\n| L125.dw162 | 125 | 943 | 0.12 | 83 | 6 | 0.048 |\n| L125.can187 | 125 | 1022 | 0.13 | 83 | 12 | 0.096 |\n| L125.gre185 | 125 | 1177 | 0.15 | 83 | 6 | 0.048 |\n| L125.can161 | 125 | 1257 | 0.16 | 83 | 12 | 0.096 |\n| L125.lop163 | 125 | 1218 | 0.16 | 83 | 9 | 0.072 |\n| can144 | 144 | 1656 | 0.16 | 96 | 18 | 0.125 |\n| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |\n| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |\n| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |\n| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |\n| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |\n| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 |",0]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |\n| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |\n| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |\n| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |\n| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |\n| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |\n| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |\n| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |\n| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |","| impcolb | 59 | 329 | 0.19 | 39 | 3 | 0.051 |\n| --- | --- | --- | --- | --- | --- | --- |\n| west0067 | 67 | 411 | 0.19 | 44 | 3 | 0.045 |\n| will57 | 57 | 304 | 0.19 | 38 | 2 | 0.035 |\n| can96 | 96 | 912 | 0.20 | 64 | 14 | 0.146 |\n| steam3 | 80 | 712 | 0.23 | 53 | 8 | 0.100 |\n| curtis54 | 54 | 337 | 0.24 | 36 | 5 | 0.093 |\n| can73 | 73 | 652 | 0.25 | 48 | 10 | 0.137 |\n| bfw62a | 62 | 639 | 0.34 | 41 | 3 | 0.048 |\n| ibm32 | 32 | 179 | 0.36 | 21 | 4 | 0.125 |\n| pores1 | 30 | 179 | 0.41 | 20 | 5 | 0.167 |\n| can61 | 61 | 866 | 0.47 | 40 | 12 | 0.197 |\n| bcsstk01 | 48 | 622 | 0.55 | 32 | 18 | 0.375 |\n| can24 | 24 | 156 | 0.57 | 16 | 8 | 0.333 |\n| ﬁdapm05 | 42 | 528 | 0.61 | 28 | 12 | 0.286 |\n| ﬁdap005 | 27 | 234 | 0.67 | 18 | 9 | 0.333 |",1]
["| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| ash219 | 85 | 219 | 0.06 | 56 | 2 | 0.024 |\n| dwt72 | 72 | 170 | 0.07 | 48 | 2 | 0.028 |\n| can62 | 62 | 210 | 0.11 | 41 | 2 | 0.032 |\n| dwt66 | 66 | 255 | 0.12 | 44 | 4 | 0.061 |\n| bcspwr02 | 49 | 177 | 0.15 | 32 | 2 | 0.041 |\n| dwt59 | 59 | 256 | 0.15 | 39 | 3 | 0.051 |\n| bcspwr01 | 39 | 118 | 0.16 | 26 | 2 | 0.051 |\n| ash85 | 85 | 616 | 0.17 | 56 | 6 | 0.071 |\n| dwt87 | 87 | 726 | 0.19 | 58 | 4 | 0.046 |","| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |\n| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |\n| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |\n| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |\n| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 |",0]
["|  | Completeset | Smallmatrices | Largematrices |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Single | Double | Single | Double | Single | Double |","| CSRmin.<br>CSRmax.<br>CSRaverage | 0.16<br>1.4<br>0.88 | 0.1<br>1.3<br>0.83 | 0.1<br>1.4<br>0.84 | 0.1<br>1.3<br>0.83 | 0.19<br>1.2<br>0.82 | 0.19<br>1.2<br>0.82 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Hybridmin.<br>Hybridmax.<br>Hybridaverage. | 0.0009<br>16.0<br>2.56 | 0.0008<br>11.0<br>1.57 | 0.0009<br>8.9<br>1.07 | 0.0008<br>6.1<br>0.72 | 0.24<br>16.0<br>5.48 | 0.19<br>11.0<br>3.2 |\n| Speed-upmin.<br>Speed-upmax.<br>Speed-upaverage | 0.00021<br>36<br>2.54 | 0.003<br>10<br>1.76 | 0.00021<br>7.2<br>0.97 | 0.003<br>4.9<br>0.69 | 0.63<br>36<br>5.59 | 0.48<br>11<br>3.87 |",1]
["|  | Completeset | Smallmatrices | Largematrices |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Single | Double | Single | Double | Single | Double |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["|  | Completeset | Smallmatrices | Largematrices |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Single | Double | Single | Double | Single | Double |\n| CSRmin.<br>CSRmax.<br>CSRaverage | 0.16<br>1.4<br>0.88 | 0.1<br>1.3<br>0.83 | 0.1<br>1.4<br>0.84 | 0.1<br>1.3<br>0.83 | 0.19<br>1.2<br>0.82 | 0.19<br>1.2<br>0.82 |","| Hybridmin.<br>Hybridmax.<br>Hybridaverage. | 0.0009<br>16.0<br>2.56 | 0.0008<br>11.0<br>1.57 | 0.0009<br>8.9<br>1.07 | 0.0008<br>6.1<br>0.72 | 0.24<br>16.0<br>5.48 | 0.19<br>11.0<br>3.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Speed-upmin.<br>Speed-upmax.<br>Speed-upaverage | 0.00021<br>36<br>2.54 | 0.003<br>10<br>1.76 | 0.00021<br>7.2<br>0.97 | 0.003<br>4.9<br>0.69 | 0.63<br>36<br>5.59 | 0.48<br>11<br>3.87 |",1]
["|  | Completeset | Smallmatrices | Largematrices |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Single | Double | Single | Double | Single | Double |\n| CSRmin.<br>CSRmax.<br>CSRaverage | 0.16<br>1.4<br>0.88 | 0.1<br>1.3<br>0.83 | 0.1<br>1.4<br>0.84 | 0.1<br>1.3<br>0.83 | 0.19<br>1.2<br>0.82 | 0.19<br>1.2<br>0.82 |","| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| --- | --- | --- |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["|  | Enfragmo | EnfragmowithLUP | SpeedUpFactor |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |\n| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 |\n| BST45 | 6.08 | 7.56 | 13.64 | 2 | 1.74 | 3.74 | 4.07 | 5.82 | 9.9 |","| BST35 | 2.13 | 2.14 | 4.27 | 1.07 | 0.46 | 1.53 | 1.06 | 1.68 | 2.74 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Sudoku | 0.46 | 1.12 | 1.59 | 2.08 | 0.26 | 2.34 | -1.62 | 0.86 | -0.76 |",1]
["|  | Enfragmo | EnfragmowithLUP | SpeedUpFactor |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |\n| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 |\n| BST45 | 6.08 | 7.56 | 13.64 | 2 | 1.74 | 3.74 | 4.07 | 5.82 | 9.9 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |\n| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |\n| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |\n| BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |\n| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |\n| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 |",0]
["|  | Enfragmo | EnfragmowithLUP | SpeedUpFactor |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |\n| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 |","| BST45 | 6.08 | 7.56 | 13.64 | 2 | 1.74 | 3.74 | 4.07 | 5.82 | 9.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BST35 | 2.13 | 2.14 | 4.27 | 1.07 | 0.46 | 1.53 | 1.06 | 1.68 | 2.74 |\n| Sudoku | 0.46 | 1.12 | 1.59 | 2.08 | 0.26 | 2.34 | -1.62 | 0.86 | -0.76 |",1]
["|  | Enfragmo | EnfragmowithLUP | SpeedUpFactor |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Problem | Gnd | Solving | Total | Gnd | Solving | Total | Gnd | Solving | Total |\n| LatinSquare | 0.89 | 1.39 | 2.28 | 3.27 | 0.34 | 3.61 | -2.38 | 1.05 | -1.33 |","| BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |\n| --- | --- | --- | --- | --- | --- | --- |\n| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |\n| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 |",0]
["| Dataset | Exogenous<br>Data | Target<br>Data | Size |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Training | Validation | Test |  |  |  |\n| NASDAQ100Stock | 81 | 1 | 35,100 | 2,730 | 2,730 |","| AutonomousDriving | 6 | 4 | 99,700 | 2,500 | 3,000 |\n| --- | --- | --- | --- | --- | --- |\n| OdetoJoyVideoViews | 128 | 1 | 38,600 | 2,270 | 4,560 |",1]
["| Dataset | Exogenous<br>Data | Target<br>Data | Size |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Training | Validation | Test |  |  |  |\n| NASDAQ100Stock | 81 | 1 | 35,100 | 2,730 | 2,730 |","| TrainingData | TestData |  |\n| --- | --- | --- |\n| ILSVRC2012Val | WebVisionVal |  |\n| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["| Dataset | Exogenous<br>Data | Target<br>Data | Size |\n| --- | --- | --- | --- |\n| Training | Validation | Test |  |","| NASDAQ100Stock | 81 | 1 | 35,100 | 2,730 | 2,730 |\n| --- | --- | --- | --- | --- | --- |\n| AutonomousDriving | 6 | 4 | 99,700 | 2,500 | 3,000 |\n| OdetoJoyVideoViews | 128 | 1 | 38,600 | 2,270 | 4,560 |",1]
["| Dataset | Exogenous<br>Data | Target<br>Data | Size |\n| --- | --- | --- | --- |\n| Training | Validation | Test |  |","| E<br>VT | 51.99 | 53.94 |\n| --- | --- | --- |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["|  |  | GlobalKB | LocalKBs |  |\n| --- | --- | --- | --- | --- |\n| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |\n| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 |\n| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 |","| 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 |\n| --- | --- | --- | --- | --- |\n| 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 |\n| 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 |",1]
["|  |  | GlobalKB | LocalKBs |  |\n| --- | --- | --- | --- | --- |\n| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |\n| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 |\n| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 |","| name | AB | FDCS | ABCS | FINDER | FMC |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |\n| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |\n| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |\n| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |\n| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",0]
["|  |  | GlobalKB | LocalKBs |  |\n| --- | --- | --- | --- | --- |\n| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |\n| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 |","| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 |\n| --- | --- | --- | --- | --- |\n| 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 |\n| 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 |\n| 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 |",1]
["|  |  | GlobalKB | LocalKBs |  |\n| --- | --- | --- | --- | --- |\n| Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms |\n| 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 |","| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",0]
["| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |\n| --- | --- | --- | --- | --- |\n| movie | 0.623 | 0.672 | 0.681 | 0.684 |\n| sraa | 0.559 | 0.628 | 0.618 | 0.547 |\n| webkb | 0.615 | 0.685 | 0.640 | 0.646 |","| med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 |\n| --- | --- | --- | --- | --- |\n| ﬁnancial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 |",1]
["| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |\n| --- | --- | --- | --- | --- |\n| movie | 0.623 | 0.672 | 0.681 | 0.684 |\n| sraa | 0.559 | 0.628 | 0.618 | 0.547 |\n| webkb | 0.615 | 0.685 | 0.640 | 0.646 |","| Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mic | mac | mic | mac | mic | mac | mic | mac | mic |  |\n| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |\n| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |\n| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",0]
["| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |\n| --- | --- | --- | --- | --- |\n| movie | 0.623 | 0.672 | 0.681 | 0.684 |\n| sraa | 0.559 | 0.628 | 0.618 | 0.547 |","| webkb | 0.615 | 0.685 | 0.640 | 0.646 |\n| --- | --- | --- | --- | --- |\n| med-space<br>ibm-mac<br>baseball-hockey<br>20newsgroups | 0.927<br>0.817<br>0.915<br>0.667 | 0.921<br>0.796<br>0.935<br>0.669 | 0.936<br>0.837<br>0.925<br>0.680 | 0.928<br>0.833<br>0.923<br>0.677 |\n| ﬁnancial-healthcare<br>sector.top | 0.588<br>0.596 | 0.618<br>0.653 | 0.618<br>0.581 | 0.507<br>0.639 |",1]
["| Dataset | GE-FL | NeutralFeatures | MaxEntropy | KLDivergence |\n| --- | --- | --- | --- | --- |\n| movie | 0.623 | 0.672 | 0.681 | 0.684 |\n| sraa | 0.559 | 0.628 | 0.618 | 0.547 |","| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |\n| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",0]
["| Euclideandistance | dvalueofdatalake | dvalueofDW |\n| --- | --- | --- |\n| Cluster1 | 0.64 | 0.76 |","| Cluster2 | 0.71 | 0.87 |\n| --- | --- | --- |\n| Cluster3 | 0.65 | 0.87 |\n| Cluster4 | 0.88 | 0.99 |",1]
["| Euclideandistance | dvalueofdatalake | dvalueofDW |\n| --- | --- | --- |\n| Cluster1 | 0.64 | 0.76 |","|  | Cluster1(similar) | Cluster2(Non-similar) | Cluster3others |\n| --- | --- | --- | --- |\n| EuclideanMetric | 23 | 3 | 16 |\n| Minkowski,p=3 | 81 | 7 | 17 |\n| ManhattanMetric | 23 | 3 | 16 |\n| HammingMetric | 23 | 3 | 16 |\n| PQ-GramMetric | 15 | 15 | 12 |\n| EditDistanceMetric | 16 | 15 | 11 |",0]
["| Euclideandistance | dvalueofdatalake | dvalueofDW |\n| --- | --- | --- |\n| Cluster1 | 0.64 | 0.76 |","| Cluster2 | 0.71 | 0.87 |\n| --- | --- | --- |\n| Cluster3 | 0.65 | 0.87 |\n| Cluster4 | 0.88 | 0.99 |",1]
["| Euclideandistance | dvalueofdatalake | dvalueofDW |\n| --- | --- | --- |\n| Cluster1 | 0.64 | 0.76 |","| PQ-GramMetric | 15 | 15 | 12 |\n| --- | --- | --- | --- |\n| EditDistanceMetric | 16 | 15 | 11 |",0]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 850 | 1400 | 1400 | 400 |","| Min | 54s | 77s | 33s | 56s |\n| --- | --- | --- | --- | --- |\n| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |\n| Avg | 149s | 204s | 214s | 83s |\n| Var | 2,331 | 6,737 | 10,723 | 293 |\n| SD | 48 | 82 | 104 | 17 |\n| 75thperc. | 191s | 274s | 302s | 97s |\n| 95thperc. | 222s | 332s | 378s | 110s |",1]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 850 | 1400 | 1400 | 400 |","| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 1800 | 1800 | 1800 | 1800 |\n| Min | 48s | 62s | 33s | 62s |\n| Max(=total) | 418s | 558s | 499s | 279s |\n| Avg | 244s | 181s | 267s | 165s |\n| Var | 10,061 | 10,376 | 17,460 | 4,107 |\n| SD | 100 | 102 | 132 | 65 |\n| 75thperc. | 330s | 221s | 381s | 220s |\n| 95thperc. | 398s | 440s | 471s | 265s |",0]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 850 | 1400 | 1400 | 400 |","| Min | 54s | 77s | 33s | 56s |\n| --- | --- | --- | --- | --- |\n| Max(=total) | 232s(266s) | 375s(364s) | 400s(262s) | 119s(83s) |\n| Avg | 149s | 204s | 214s | 83s |\n| Var | 2,331 | 6,737 | 10,723 | 293 |\n| SD | 48 | 82 | 104 | 17 |\n| 75thperc. | 191s | 274s | 302s | 97s |\n| 95thperc. | 222s | 332s | 378s | 110s |",1]
["| Measure | WHdebarking | WHboarding | SGdebarking | SGboarding |\n| --- | --- | --- | --- | --- |\n| Passengers | 850 | 1400 | 1400 | 400 |","| 75thperc. | 330s | 221s | 381s | 220s |\n| --- | --- | --- | --- | --- |\n| 95thperc. | 398s | 440s | 471s | 265s |",0]
["| Methods | Dice | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core |  |\n| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |","| Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 |\n| Kamnitsas | 0.85 | 0.67 | 0.63 | 0.85 | 0.86 | 0.63 | 0.88 | 0.60 |\n| U-net | 0.80 | 0.63 | 0.64 | 0.83 | 0.81 | 0.78 | 0.80 | 0.58 |\n| SegAN | 0.85 | 0.70 | 0.66 | 0.92 | 0.80 | 0.69 | 0.80 | 0.65 |",1]
["| Methods | Dice | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core |  |\n| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |","| Architectures | Accuracy |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |\n| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |\n| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |\n| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |\n| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |\n| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",0]
["| Methods | Dice | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core |  |\n| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |\n| Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |\n| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 |","| Kamnitsas | 0.85 | 0.67 | 0.63 | 0.85 | 0.86 | 0.63 | 0.88 | 0.60 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| U-net | 0.80 | 0.63 | 0.64 | 0.83 | 0.81 | 0.78 | 0.80 | 0.58 |\n| SegAN | 0.85 | 0.70 | 0.66 | 0.92 | 0.80 | 0.69 | 0.80 | 0.65 |",1]
["| Methods | Dice | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Whole | Core | Enha. | Whole | Core | Enha. | Whole | Core |  |\n| Havaei | 0.84 | 0.71 | 0.57 | 0.88 | 0.79 | 0.54 | 0.84 | 0.72 |\n| Pereira | 0.84 | 0.72 | 0.62 | 0.85 | 0.82 | 0.60 | 0.86 | 0.76 |\n| SegAN | 0.84 | 0.70 | 0.65 | 0.87 | 0.80 | 0.68 | 0.83 | 0.74 |","| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ﬁne-tunedAﬀWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 |",0]
["|  | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| Wuetal., | 0.60 | 0.59 | 0.60 |\n| Yaoetal., | - | - | 0.56 |\n| Pﬁsteretal., | 0.61 | 0.62 | 0.62 |\n| Fernandoetal., | 0.75 | 0.75 | 0.75 |","| Ours(linearcomb.) | 0.61 | 0.62 | 0.62 |\n| --- | --- | --- | --- |\n| Ours(probabilisticcomb.) | 0.63 | 0.63 | 0.63 |",1]
["|  | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| Wuetal., | 0.60 | 0.59 | 0.60 |\n| Yaoetal., | - | - | 0.56 |\n| Pﬁsteretal., | 0.61 | 0.62 | 0.62 |\n| Fernandoetal., | 0.75 | 0.75 | 0.75 |","| Algorithm | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Proposed | 0.77 | 0.70 | 0.74 |\n| Zhangetal. | 0.83 | 0.67 | 0.74 |\n| Yinetal. | 0.81 | 0.63 | 0.71 |\n| Kangetal. | 0.71 | 0.62 | 0.66 |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",0]
["|  | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| Wuetal., | 0.60 | 0.59 | 0.60 |\n| Yaoetal., | - | - | 0.56 |\n| Pﬁsteretal., | 0.61 | 0.62 | 0.62 |\n| Fernandoetal., | 0.75 | 0.75 | 0.75 |","| Ours(linearcomb.) | 0.61 | 0.62 | 0.62 |\n| --- | --- | --- | --- |\n| Ours(probabilisticcomb.) | 0.63 | 0.63 | 0.63 |",1]
["|  | Precision | Recall | F-Score |\n| --- | --- | --- | --- |\n| Wuetal., | 0.60 | 0.59 | 0.60 |\n| Yaoetal., | - | - | 0.56 |\n| Pﬁsteretal., | 0.61 | 0.62 | 0.62 |\n| Fernandoetal., | 0.75 | 0.75 | 0.75 |","| Kangetal. | 0.71 | 0.62 | 0.66 |\n| --- | --- | --- | --- |\n| Yaoetal. | 0.63 | 0.63 | 0.60 |",0]
["| Rank | Code | Name | Example | Count | KW | MW |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |\n| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |\n| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 |","| 4 | FV | WrongVerbForm | hadtimetoplayedplay | 1789 | ** | 21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5 | W | WordOrder | Probablyourhomeswillprobablybe | 1534 | ** | 34 |\n| 6 | MT | MissingPreposition | explaintoyou | 1435 | ** | 22 |\n| 7 | UD | UnnecessaryDeterminer | acourseattheCornellUniversity | 1321 |  |  |\n| 8 | UT | UnnecessaryPreposition | weneeditoneachminute | 1079 |  |  |\n| 9 | MA | MissingPronoun | becauseitisthebestconference | 984 | ** | 33 |\n| 10 | AGV | VerbAgreement | theteacherswaswereveryexperienced | 916 | ** | 21 |\n| 11 | FN | WrongFormNoun | becauseofmystudystudies | 884 | ** | 24 |\n| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |\n| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |\n| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |\n| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |\n| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 |  |  |\n| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |\n| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |\n| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |\n| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 |  |  |",1]
["| Rank | Code | Name | Example | Count | KW | MW |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |\n| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |\n| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| Rank | Code | Name | Example | Count | KW | MW |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |\n| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |\n| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 |","| 4 | FV | WrongVerbForm | hadtimetoplayedplay | 1789 | ** | 21 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5 | W | WordOrder | Probablyourhomeswillprobablybe | 1534 | ** | 34 |\n| 6 | MT | MissingPreposition | explaintoyou | 1435 | ** | 22 |\n| 7 | UD | UnnecessaryDeterminer | acourseattheCornellUniversity | 1321 |  |  |\n| 8 | UT | UnnecessaryPreposition | weneeditoneachminute | 1079 |  |  |\n| 9 | MA | MissingPronoun | becauseitisthebestconference | 984 | ** | 33 |\n| 10 | AGV | VerbAgreement | theteacherswaswereveryexperienced | 916 | ** | 21 |\n| 11 | FN | WrongFormNoun | becauseofmystudystudies | 884 | ** | 24 |\n| 12 | RA | ReplacePronoun | shejustmetSally,whichwho | 847 | ** | 17 |\n| 13 | AGN | NounAgreement | twomonthmonthsago | 816 | ** | 24 |\n| 14 | RD | ReplaceDeterminer | ofathelastfewyears | 676 | ** | 35 |\n| 15 | DJ | WronglyDerivedAdjective | Themotherwasprideproud | 608 | * | 8 |\n| 16 | DN | WronglyDerivedNoun | workingplaceworkplace | 536 |  |  |\n| 17 | DY | WronglyDerivedAdverb | EspecialEspecially | 414 | ** | 14 |\n| 18 | UA | UnnecessaryPronoun | feelourselvescomfortable | 391 | * | 9 |\n| 19 | MC | MissingConjunction | reading,andplayingpianoathome | 346 | * | 11 |\n| 20 | RC | ReplaceConjunction | notjustthecar,andbutalsothetrain | 226 |  |  |",1]
["| Rank | Code | Name | Example | Count | KW | MW |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | TV | VerbTense | IhopeIgivehavegivenyouenoughdetails | 3324 | ** | 34 |\n| 2 | RT | ReplacePreposition | oninJuly | 3311 | ** | 31 |\n| 3 | MD | MissingDeterminer | Iwentfortheinterview | 2967 | ** | 57 |","| 6 | NE | Whetherwisanamedentity(NE) |\n| --- | --- | --- |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| TheNumberofAction | 9 | 121 | 961 | 2601 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |","| Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |\n| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |\n| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |\n| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |\n| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |\n| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |\n| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |\n| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |\n| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |\n| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |\n| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |\n| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |\n| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |\n| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |\n| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |\n| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |\n| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 |\n| EpsGrdy+SoftBellman-0.1 | 9844 | 6918 | 6752 | 7849 |\n| EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |\n| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |\n| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |\n| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 |",1]
["| TheNumberofAction | 9 | 121 | 961 | 2601 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |","| TheNumberofAction | 3 | 101 | 1001 | 2001 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 1164 | 692 | 742 | 864 |\n| Sparse+SparseBellman-0.1 | 1060 | 2923 | 3998 | 599 |\n| Sparse+SparseBellman-0.01 | 685 | 1431 | 1010 | 811 |\n| Sparse+SoftBellman-1 | 863 | 1316 | 1698 | 657 |\n| Sparse+SoftBellman-0.1 | 914 | 901 | 857 | 802 |\n| Sparse+SoftBellman-0.01 | 3342 | 907 | 3930 | 522 |\n| Sparse+Bellman-1 | 879 | 668 | 2337 | 3137 |\n| Sparse+Bellman-0.1 | 937 | 3925 | 773 | 1030 |\n| Sparse+Bellman-0.01 | 999 | 329 | 962 | 962 |\n| Soft+SparseBellman-1 | 3789 | 3416 | 3996 | 2684 |\n| Soft+SparseBellman-0.1 | 3844 | 2835 | 1494 | 2771 |\n| Soft+SparseBellman-0.01 | 854 | 545 | 3814 | 999 |\n| Soft+SoftBellman-1 | 1885 | 3666 | 3994 | 3912 |\n| Soft+SoftBellman-0.1 | 869 | 780 | 787 | 3871 |\n| Soft+SoftBellman-0.01 | 533 | 1241 | 2565 | 3020 |\n| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |\n| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |\n| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |\n| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |\n| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |\n| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |\n| EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |\n| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |\n| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |\n| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |\n| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |\n| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 |",0]
["| TheNumberofAction | 9 | 121 | 961 | 2601 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |\n| Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |\n| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |\n| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |\n| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |\n| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |\n| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |\n| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |\n| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |\n| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |\n| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |\n| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |\n| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |\n| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |\n| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |\n| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |\n| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |\n| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |\n| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 |","| EpsGrdy+SoftBellman-0.1 | 9844 | 6918 | 6752 | 7849 |\n| --- | --- | --- | --- | --- |\n| EpsGrdy+SoftBellman-0.01 | 9841 | 7176 | 9803 | 8114 |\n| EpsGrdy+Bellman | 9842 | 6797 | 6933 | 8001 |\n| EpsGrdy+Bellman | 9846 | 6680 | 7051 | 7845 |\n| EpsGrdy+Bellman | 9864 | 7192 | 6928 | 7925 |",1]
["| TheNumberofAction | 9 | 121 | 961 | 2601 |\n| --- | --- | --- | --- | --- |\n| Sparse+SparseBellman-1 | 9193 | 9648 | 7275 | 9065 |\n| Sparse+SparseBellman-0.1 | 9791 | 5837 | 5779 | 6851 |\n| Sparse+SparseBellman-0.01 | 9783 | 6456 | 6631 | 7941 |\n| Sparse+SoftBellman-1 | 9126 | 9834 | 7603 | 8503 |\n| Sparse+SoftBellman-0.1 | 9779 | 5449 | 5642 | 7509 |\n| Sparse+SoftBellman-0.01 | 9795 | 5011 | 7260 | 7768 |\n| Sparse+Bellman-1 | 9073 | 9619 | 5646 | 8371 |\n| Sparse+Bellman-0.1 | 9756 | 5366 | 5338 | 6936 |\n| Sparse+Bellman-0.01 | 9797 | 5204 | 6525 | 7965 |\n| Soft+SparseBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SparseBellman-0.1 | 8801 | 9998 | 10000 | 10000 |\n| Soft+SparseBellman-0.01 | 9783 | 4988 | 5934 | 8774 |\n| Soft+SoftBellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+SoftBellman-0.1 | 8810 | 9999 | 10000 | 10000 |\n| Soft+SoftBellman-0.01 | 9794 | 4597 | 5927 | 7915 |\n| Soft+Bellman-1 | 10000 | 10000 | 10000 | 10000 |\n| Soft+Bellman-0.1 | 8700 | 9999 | 10000 | 10000 |\n| Soft+Bellman-0.01 | 9790 | 4810 | 6004 | 8737 |\n| EpsGrdy+SparseBellman-1 | 9861 | 6909 | 6994 | 7977 |\n| EpsGrdy+SparseBellman-0.1 | 9850 | 6808 | 6775 | 7873 |\n| EpsGrdy+SparseBellman-0.01 | 9847 | 7079 | 6850 | 7923 |\n| EpsGrdy+SoftBellman-1 | 9850 | 6839 | 6858 | 8026 |","| Soft+Bellman-1 | 3898 | 3947 | 3978 | 3758 |\n| --- | --- | --- | --- | --- |\n| Soft+Bellman-0.1 | 876 | 1923 | 954 | 807 |\n| Soft+Bellman-0.01 | 1419 | 689 | 755 | 1265 |\n| EpsGrdy+SparseBellman-1 | 3978 | 3993 | 4000 | 3863 |\n| EpsGrdy+SparseBellman-0.1 | 3895 | 2449 | 4000 | 3910 |\n| EpsGrdy+SparseBellman-0.01 | 3437 | 4000 | 3962 | 3777 |\n| EpsGrdy+SoftBellman-1 | 2959 | 3919 | 3715 | 4000 |\n| EpsGrdy+SoftBellman-0.1 | 3997 | 3969 | 3037 | 2509 |\n| EpsGrdy+SoftBellman-0.01 | 3976 | 3936 | 3785 | 3784 |\n| EpsGrdy+Bellman-1 | 4000 | 2603 | 1093 | 3969 |\n| EpsGrdy+Bellman-0.1 | 2584 | 3897 | 3160 | 3846 |\n| EpsGrdy+Bellman-0.01 | 3891 | 3699 | 3905 | 3993 |",0]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.6832 | 0.7018 | 0.5261 |","| RGB+dist | 0.7228 | 0.7445 | 0.5611 |\n| --- | --- | --- | --- |\n| RGB+coord | 0.7213 | 0.7342 | 0.5507 |\n| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 |",1]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.6832 | 0.7018 | 0.5261 |","|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.7061 | 0.7240 | 0.5406 |\n| RGB+dist | 0.7266 | 0.7493 | 0.5619 |\n| RGB+coord | 0.7235 | 0.7368 | 0.5517 |\n| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 |",0]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.6832 | 0.7018 | 0.5261 |\n| RGB+dist | 0.7228 | 0.7445 | 0.5611 |","| RGB+coord | 0.7213 | 0.7342 | 0.5507 |\n| --- | --- | --- | --- |\n| RGB+dist+coord | 0.7155 | 0.7344 | 0.5528 |",1]
["|  | HKU-IS | ECSSD | PASCAL-S |\n| --- | --- | --- | --- |\n| RGB | 0.6832 | 0.7018 | 0.5261 |\n| RGB+dist | 0.7228 | 0.7445 | 0.5611 |","| RGB+coord | 0.7235 | 0.7368 | 0.5517 |\n| --- | --- | --- | --- |\n| RGB+dist+coord | 0.7167 | 0.7352 | 0.5541 |",0]
["| Name | Type | \\|V\\| | \\|E\\| | Indexingtime(original) | Indexsize(original) |\n| --- | --- | --- | --- | --- | --- |\n| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |\n| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |","| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |\n| --- | --- | --- | --- | --- | --- |\n| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",1]
["| Name | Type | \\|V\\| | \\|E\\| | Indexingtime(original) | Indexsize(original) |\n| --- | --- | --- | --- | --- | --- |\n| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |\n| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |","| DataSet | RealNetwork | RD | SW | SF | HK |\n| --- | --- | --- | --- | --- | --- |\n|  | HighestDegreeofaNode |  |  |  |  |\n| Blog | 351 | 46 | 47 | 211 | 321 |\n| Twitter | 237 | 27 | 27 | 253 | 319 |\n| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["| Name | Type | \\|V\\| | \\|E\\| | Indexingtime(original) | Indexsize(original) |\n| --- | --- | --- | --- | --- | --- |\n| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |\n| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |\n| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |","| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| --- | --- | --- | --- | --- | --- |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",1]
["| Name | Type | \\|V\\| | \\|E\\| | Indexingtime(original) | Indexsize(original) |\n| --- | --- | --- | --- | --- | --- |\n| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |\n| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |\n| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |","| Epinions | 1192 | 77 | 72 | 373 | 560 |\n| --- | --- | --- | --- | --- | --- |\n| Author | 102 | 15 | 16 | 201 | 183 |\n|  | ClusteringCoeﬃcient |  |  |  |  |\n| Blog | 0.32 | 0.02 | 0.56 | 0.07 | 0.24 |\n| Twitter | 0.13 | 0.005 | 0.49 | 0.03 | 0.27 |\n| Epinions | 0.27 | 0.02 | 0.58 | 0.08 | 0.22 |\n| Author | 0.53 | 0.001 | 0.31 | 0.01 | 0.42 |\n|  | AveragePathLength |  |  |  |  |\n| Blog | 2.7 | 2.5 | 3.2 | 2.4 | 2.2 |\n| Twitter | 3.4 | 3.2 | 4.2 | 2.9 | 2.8 |\n| Epinions | 2.2 | 2.2 | 3.0 | 2.2 | 2.0 |\n| Author | 5.31 | 5.07 | 6.41 | 3.4 | 4.0 |\n|  |  |  |  |  |  |",0]
["| Model | BLEU | METEOR | Emb.Greedy |\n| --- | --- | --- | --- |\n| Baseline | 31.36 | 33.12 | 74.02 |\n| SPTriples | 33.27 | 35.07 | 76.72 |\n| MPTriples | 32.76 | 34.97 | 76.70 |","| SPTriplesTransE++ | 33.32 | 35.38 | 76.78 |\n| --- | --- | --- | --- |\n| MPTriplesTransE++ | 33.28 | 35.29 | 77.01 |",1]
["| Model | BLEU | METEOR | Emb.Greedy |\n| --- | --- | --- | --- |\n| Baseline | 31.36 | 33.12 | 74.02 |\n| SPTriples | 33.27 | 35.07 | 76.72 |\n| MPTriples | 32.76 | 34.97 | 76.70 |","| Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 |  |\n| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |\n| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |\n| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",0]
["| Model | BLEU | METEOR | Emb.Greedy |\n| --- | --- | --- | --- |\n| Baseline | 31.36 | 33.12 | 74.02 |","| SPTriples | 33.27 | 35.07 | 76.72 |\n| --- | --- | --- | --- |\n| MPTriples | 32.76 | 34.97 | 76.70 |\n| SPTriplesTransE++ | 33.32 | 35.38 | 76.78 |\n| MPTriplesTransE++ | 33.28 | 35.29 | 77.01 |",1]
["| Model | BLEU | METEOR | Emb.Greedy |\n| --- | --- | --- | --- |\n| Baseline | 31.36 | 33.12 | 74.02 |","| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |\n| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",0]
["| Benchmark | #Agents<br>1281632 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |\n| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |\n| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |\n| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |\n| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |\n| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) |\n| Bart | 13.619 | 7.958(1.71) | 2.031(6.7) | 1.600(8.51) | 0.811(16.79) |\n| Solitaire | 5.909 | 3.538(1.67) | 1.003(5.89) | 0.628(9.4) | 0.535(11.04) |","| 10Queens | 4.572 | 2.418(1.89) | 0.821(5.56) | 1.043(4.38) | 0.905(5.05) |\n| --- | --- | --- | --- | --- | --- |\n| Hamilton | 3.175 | 1.807(1.75) | 0.610(5.2) | 0.458(6.93) | 0.486(6.53) |\n| MapColoring | 1.113 | 0.702(1.58) | 0.319(3.48) | 0.318(3.5) | 0.348(3.19) |\n| 8Queens | 0.185 | 0.162(1.14) | 0.208(0.88) | 0.169(1.09) | 0.180(1.02) |",1]
["| Benchmark | #Agents<br>1281632 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |\n| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |\n| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |\n| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |\n| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |\n| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) |\n| Bart | 13.619 | 7.958(1.71) | 2.031(6.7) | 1.600(8.51) | 0.811(16.79) |\n| Solitaire | 5.909 | 3.538(1.67) | 1.003(5.89) | 0.628(9.4) | 0.535(11.04) |","| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |\n| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |\n| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |\n| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |\n| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |\n| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |\n| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",0]
["| Benchmark | #Agents<br>1281632 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |\n| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |\n| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |\n| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |\n| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |\n| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) |","| Bart | 13.619 | 7.958(1.71) | 2.031(6.7) | 1.600(8.51) | 0.811(16.79) |\n| --- | --- | --- | --- | --- | --- |\n| Solitaire | 5.909 | 3.538(1.67) | 1.003(5.89) | 0.628(9.4) | 0.535(11.04) |\n| 10Queens | 4.572 | 2.418(1.89) | 0.821(5.56) | 1.043(4.38) | 0.905(5.05) |\n| Hamilton | 3.175 | 1.807(1.75) | 0.610(5.2) | 0.458(6.93) | 0.486(6.53) |\n| MapColoring | 1.113 | 0.702(1.58) | 0.319(3.48) | 0.318(3.5) | 0.348(3.19) |\n| 8Queens | 0.185 | 0.162(1.14) | 0.208(0.88) | 0.169(1.09) | 0.180(1.02) |",1]
["| Benchmark | #Agents<br>1281632 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9Costas | 412.579 | 210.228(1.96) | 52.686(7.83) | 26.547(15.54) | 14.075(29.31) |\n| Knight | 159.950 | 81.615(1.95) | 20.754(7.7) | 10.939(14.62) | 8.248(19.39) |\n| Stable | 62.638 | 35.299(1.77) | 9.117(6.87) | 4.844(12.93) | 3.315(18.89) |\n| SendMore | 61.817 | 32.953(1.87) | 8.931(6.92) | 4.923(12.55) | 3.916(15.78) |\n| 8Costas | 38.681 | 19.746(1.95) | 5.052(7.65) | 2.733(14.15) | 1.753(22.06) |\n| 8Puzzle | 27.810 | 15.387(1.8) | 10.522(2.64) | 3.128(8.89) | 5.940(4.68)) |","| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| --- | --- | --- | --- | --- | --- |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |\n| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |\n| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",0]
["| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |\n| --- | --- | --- | --- | --- | --- |\n| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |\n| 83.38(82.65,83.68) | 84.71(84.46,85.27) | 84.89(84.56,85.16) | 84.92(84.81,85.18) | 84.98(84.66,85.18) | 84.99(84.29,85.44) |\n| 91.84(91.30,92.02) | 92.75(92.61,92.88) | 92.89(92.66,93.06) | 92.88(92.75,92.97) | 92.91(92.75,93.01) | 92.88(92.75,93.03) |\n| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) |","| 79.40(78.76,80.03) | 82.57(82.05,83.31) | 83.48(82.99,84.06) | 83.83(83.51,84.26) | 83.95(83.36,84.60) | 83.96(83.49,84.47) |\n| --- | --- | --- | --- | --- | --- |\n| 89.28(89.04,89.45) | 89.53(89.31,89.72) | 89.55(89.18,89.81) | 89.73(89.62,89.85) | 89.80(89.65,89.96) | 89.84(89.74,90.02) |",1]
["| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |\n| --- | --- | --- | --- | --- | --- |\n| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |\n| 83.38(82.65,83.68) | 84.71(84.46,85.27) | 84.89(84.56,85.16) | 84.92(84.81,85.18) | 84.98(84.66,85.18) | 84.99(84.29,85.44) |\n| 91.84(91.30,92.02) | 92.75(92.61,92.88) | 92.89(92.66,93.06) | 92.88(92.75,92.97) | 92.91(92.75,93.01) | 92.88(92.75,93.03) |\n| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) |","| 79.22(79.02,79.57) | 45.46(44.88,45.96) | 83.24(82.93,83.67) | 91.97(91.64,92.17) | 85.86(85.54,86.13) | 80.24(79.64,80.62) |\n| --- | --- | --- | --- | --- | --- |\n| 80.27(79.94,80.51) | 46.18(45.74,46.52) | 84.37(83.96,94.70) | 92.83(92.58,93.06) | 90.33(90.05,90.62) | 80.71(79.72,81.37) |\n| 80.35(80.05,80.65) | 46.18(45.69,46.63) | 84.38(84.04,84.61) | 92.54(92.44,92.68) | 90.06(89.84,90.26) | 81.11(80.54,81.55) |\n| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |\n| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |\n| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |\n| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |\n| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |\n| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |",0]
["| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |\n| --- | --- | --- | --- | --- | --- |\n| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |","| 83.38(82.65,83.68) | 84.71(84.46,85.27) | 84.89(84.56,85.16) | 84.92(84.81,85.18) | 84.98(84.66,85.18) | 84.99(84.29,85.44) |\n| --- | --- | --- | --- | --- | --- |\n| 91.84(91.30,92.02) | 92.75(92.61,92.88) | 92.89(92.66,93.06) | 92.88(92.75,92.97) | 92.91(92.75,93.01) | 92.88(92.75,93.03) |\n| 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) |\n| 79.40(78.76,80.03) | 82.57(82.05,83.31) | 83.48(82.99,84.06) | 83.83(83.51,84.26) | 83.95(83.36,84.60) | 83.96(83.49,84.47) |\n| 89.28(89.04,89.45) | 89.53(89.31,89.72) | 89.55(89.18,89.81) | 89.73(89.62,89.85) | 89.80(89.65,89.96) | 89.84(89.74,90.02) |",1]
["| 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |\n| --- | --- | --- | --- | --- | --- |\n| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |","| 80.25(79.89,80.60) | 45.96(45.44,46.55) | 84.24(83.40,84.59) | 92.50(92.33,92.68) | 89.44(89.07,89.84) | 81.53(81.09,82.05) |\n| --- | --- | --- | --- | --- | --- |\n| 80.02(79.68,80.17) | 45.65(45.08,46.09) | 83.90(83.40,84.37) | 92.31(92.19,92.50) | 88.81(88.53,89.03) | 81.19(80.89,81.61) |\n| 79.59(79.36,79.75) | 45.19(44.67,45.62) | 83.64(83.32,83.95) | 92.02(91.86,92.23) | 88.41(87.96,88.71) | 81.36(80.72,82.04) |\n| 79.33(78.76,79.75) | 45.02(44.15,45.77) | 83.30(83.03,83.60) | 91.87(91.70,91.99) | 88.46(88.21,88.85) | 81.42(81.03,81.90) |\n| 79.05(78.91,79.21) | 44.61(44.05,45.53) | 83.24(82.82,83.70) | 91.95(91.59,92.16) | 88.23(87.57,88.56) | 81.16(80.69,81.57) |\n| 79.04(78.86,79.30) | 44.66(44.42,44.91) | 83.09(82.61,83.42) | 91.85(91.74,92.00) | 88.41(87.98,88.67) | 81.28(80.96,81.55) |",0]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |","| ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |\n| --- | --- | --- | --- | --- | --- |\n| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 |\n| MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |\n| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |\n| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 |",1]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |","| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |\n| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |\n| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |\n| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |\n| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |\n| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 |",0]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |\n| ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |\n| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 |","| MD4LT | 0.80 | 1.60 | 2.32 | 2.36 | 4.87 |\n| --- | --- | --- | --- | --- | --- |\n| VO | 1.68 | 5.96 | 6.16 | 7.25 | 18.10 |\n| VO4LT | 0.32 | 1.41 | 4.85 | 1.53 | 3.12 |",1]
["| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.76 | 1.78 | 4.83 | 3.63 | 59.74 |\n| ES4LT | 0.28 | 0.84 | 6.40 | 1.40 | 31.12 |\n| MD | 5.79 | 16.04 | 6.65 | 13.56 | 33.51 |","| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |\n| --- | --- | --- | --- | --- | --- |\n| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |\n| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 |",0]
["| Phone | Track |\n| --- | --- |\n| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 |","| Nexus4#2 | 7-1-2-3-4-5-8-7-6-5-4-2-1-7-8 |\n| --- | --- |\n| Nexus5 | 3-2-4-9-10-12-11-9-4-5-6-4-3-2-1-7-6-5-8-7 |\n| HTCDesire | 10-12-11-9-4-2-1-7-6-5-8 |",1]
["| Phone | Track |\n| --- | --- |\n| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 |","| Tracker | TrackPurity | TargetPurity |\n| --- | --- | --- |\n| 2Groups | 48.50 | 45.28 |\n| 3Groups | 55.27 | 48.81 |\n| 6Groups | 60.11 | 55.39 |\n| 12Groups | 64.37 | 57.49 |\n| 20Groups | 55.65 | 51.50 |",0]
["| Phone | Track |\n| --- | --- |\n| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 |","| Nexus4#2 | 7-1-2-3-4-5-8-7-6-5-4-2-1-7-8 |\n| --- | --- |\n| Nexus5 | 3-2-4-9-10-12-11-9-4-5-6-4-3-2-1-7-6-5-8-7 |\n| HTCDesire | 10-12-11-9-4-2-1-7-6-5-8 |",1]
["| Phone | Track |\n| --- | --- |\n| Nexus4#1 | 8-5-6-7-1-2-3-4-5-6-4-3-2-1-7-8 |","| 12Groups | 64.37 | 57.49 |\n| --- | --- | --- |\n| 20Groups | 55.65 | 51.50 |",0]
["| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |\n| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |\n| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |\n| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 |\n| 14 | 5 | 3 | 0.02 | 0.0165 | 4 | 23.47 | 960.2 |","| 15 | 4 | 4 | 0.11 | 0.0799 | 4 | 136.70 | 1457.3 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 15 | 5 | 3 | 0.05 | 0.0082 | 4 | 300.48 | 3286.9 |\n| 16 | 4 | 4 | 0.09 | 0.0408 | 4 | 175.72 | 1657.7 |\n| 17 | 3 | 6* | 0.32 | 0.2834 | 4 | 27.08 | 378.1 |\n| 17 | 3 | 6 | 0.30 | 0.2834 | 4 | 11.41 | 364.1 |\n| 17* | 3 | 6 | 0.36 | 0.2834 | 4 | 12.09 | 355.1 |\n| 17* | 3 | 6* | 0.25 | 0.2834 | 4 | 34.32 | 693.2 |",1]
["| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |\n| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |\n| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |\n| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 |\n| 14 | 5 | 3 | 0.02 | 0.0165 | 4 | 23.47 | 960.2 |","| \\|V\\|(cid:101) | min(\\|V\\|)(cid:101) | max(\\|V\\|)(cid:101) | max(q)n | cn | Time(sec.) |\n| --- | --- | --- | --- | --- | --- |\n| 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 |\n| 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 |\n| 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |\n| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |\n| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |\n| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |\n| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |",0]
["| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |\n| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |\n| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |\n| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 |","| 14 | 5 | 3 | 0.02 | 0.0165 | 4 | 23.47 | 960.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 15 | 4 | 4 | 0.11 | 0.0799 | 4 | 136.70 | 1457.3 |\n| 15 | 5 | 3 | 0.05 | 0.0082 | 4 | 300.48 | 3286.9 |\n| 16 | 4 | 4 | 0.09 | 0.0408 | 4 | 175.72 | 1657.7 |\n| 17 | 3 | 6* | 0.32 | 0.2834 | 4 | 27.08 | 378.1 |\n| 17 | 3 | 6 | 0.30 | 0.2834 | 4 | 11.41 | 364.1 |\n| 17* | 3 | 6 | 0.36 | 0.2834 | 4 | 12.09 | 355.1 |\n| 17* | 3 | 6* | 0.25 | 0.2834 | 4 | 34.32 | 693.2 |",1]
["| n | t=m | k=(cid:100)n/m(cid:101) | exp.prob. | P(n,m,t,k) | dF4 | av.sec. | MB |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 6 | 2 | 0.00 | 0.0013 | 4 | 2.30 | 257.8 |\n| 13 | 4 | 4 | 0.41 | 0.2834 | 4 | 81.64 | 739.8 |\n| 13 | 5 | 3 | 0.05 | 0.0327 | 4 | 84.65 | 1597.8 |\n| 14 | 4 | 4 | 0.10 | 0.1535 | 4 | 79.57 | 879.7 |","| 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |\n| --- | --- | --- | --- | --- | --- |\n| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |\n| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |\n| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |\n| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |",0]
["| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |","| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",1]
["| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |","| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |\n| --- | --- | --- | --- | --- |\n| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |\n| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |\n| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |\n| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |\n| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 |",0]
["| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |","| SVM<br>MLP<br>LR<br>RF<br>CNN | 6<br>6<br>6<br>6<br>6 | 93.02±0.29<br>91.72±0.40<br>92.60±0.18<br>91.65±0.09<br>94.50±0.38 | 93.31±0.45<br>94.18±0.42<br>92.60±0.18<br>95.40±0.12<br>97.32±0.16 | 6.69±0.45<br>5.82±0.42<br>7.40±0.18<br>4.60±0.12<br>2.68±0.16 | 12.15±7.53<br>47.28±11.88<br>0.00±0.00<br>56.62±0.99<br>40.41±2.32 | 10.38±6.45<br>24.43±7.14<br>0.00±0.00<br>42.28±0.72<br>63.55±2.63 | 27.85±17.09<br>32.72±8.27<br>0.00±0.00<br>43.38±0.99<br>59.59±2.32 | 15.02±9.25<br>27.27±7.18<br>0.00±0.00<br>42.80±0.73<br>61.29±1.77 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 7<br>7<br>7<br>7<br>7 | 95.29±0.11<br>94.49±0.63<br>92.96±0.13<br>94.42±0.19<br>96.95±0.16 | 95.77±0.07<br>95.59±0.93<br>92.98±0.13<br>95.90±0.19<br>98.15±0.09 | 4.23±0.07<br>4.41±0.93<br>7.02±0.13<br>4.10±0.19<br>1.85±0.09 | 16.10±2.12<br>23.75±6.90<br>11.34±3.33<br>32.83±1.93<br>20.91±1.47 | 44.92±0.91<br>41.76±13.25<br>5.38±0.54<br>47.27±2.70<br>74.07±1.54 | 83.90±2.12<br>56.25±14.50<br>88.66±3.33<br>67.17±1.93<br>79.09±1.47 | 58.49±1.14<br>46.82±13.46<br>10.12±0.95<br>55.41±2.48<br>76.50±1.51 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 8<br>8<br>8<br>8<br>8 | 90.96±3.98<br>95.99±0.12<br>96.19±0.16<br>96.54±0.15<br>97.76±0.23 | 97.04±0.33<br>96.27±0.19<br>96.19±0.16<br>97.41±0.13<br>98.34±0.12 | 2.96±0.33<br>3.73±0.19<br>3.81±0.16<br>2.59±0.13<br>1.66±0.12 | 44.30±18.58<br>25.59±16.73<br>0.00±0.00<br>41.53±2.39<br>22.20±5.28 | 27.64±9.79<br>2.95±1.65<br>0.41±0.25<br>33.95±1.20<br>56.33±3.00 | 55.70±18.58<br>34.41±19.19<br>40.00±24.49<br>58.47±2.39<br>77.80±5.28 | 19.85±5.18<br>4.67±2.47<br>0.81±0.50<br>42.85±1.15<br>65.04±3.42 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 9<br>9<br>9<br>9<br>9 | 99.44±0.04<br>98.29±0.68<br>99.37±0.05<br>98.96±0.10<br>98.83±0.06 | 99.55±0.03<br>98.78±0.68<br>99.37±0.04<br>99.90±0.05<br>99.94±0.03 | 0.45±0.03<br>1.22±0.68<br>0.63±0.04<br>0.10±0.05<br>0.06±0.03 | 3.18±0.59<br>8.52±6.47<br>0.75±0.36<br>17.81±1.46<br>20.72±1.34 | 90.40±0.72<br>70.87±17.79<br>86.48±0.95<br>97.87±1.09<br>98.63±0.60 | 96.82±0.59<br>71.48±18.88<br>99.25±0.36<br>82.19±1.46<br>79.28±1.34 | 93.49±0.42<br>70.62±17.96<br>92.42±0.61<br>89.33±1.13<br>87.88±0.88 |",1]
["| Model | Label | ACC | TNR | FPR | FNR | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 0<br>0<br>0<br>0<br>0 | 87.41±0.46<br>75.56±12.84<br>64.08±0.66<br>87.40±0.32<br>92.63±0.27 | 97.00±0.20<br>74.86±18.72<br>99.73±0.11<br>93.47±0.19<br>94.64±0.44 | 3.00±0.20<br>5.14±1.35<br>0.27±0.11<br>6.53±0.19<br>5.36±0.44 | 32.66±1.02<br>36.31±9.94<br>60.22±0.59<br>29.16±0.68<br>13.93±1.26 | 91.44±0.61<br>83.79±4.29<br>99.55±0.17<br>79.85±0.66<br>82.86±1.41 | 67.34±1.02<br>63.69±9.94<br>39.78±0.59<br>70.84±0.68<br>86.07±1.26 | 77.54±0.71<br>68.96±7.52<br>56.84±0.60<br>75.07±0.55<br>84.37±0.60 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 1<br>1<br>1<br>1<br>1 | 93.87±0.24<br>91.69±1.43<br>91.49±0.24<br>92.10±0.28<br>95.37±0.28 | 97.72±0.25<br>94.90±2.17<br>97.66±0.15<br>95.79±0.16<br>97.40±0.14 | 2.28±0.25<br>5.10±2.17<br>2.34±0.15<br>4.21±0.16<br>2.60±0.14 | 25.26±1.56<br>21.39±5.93<br>34.88±1.25<br>28.87±1.43<br>16.10±1.71 | 86.54±1.71<br>66.27±16.70<br>86.66±0.97<br>74.81±1.35<br>85.00±0.76 | 74.74±1.56<br>58.61±14.87<br>65.12±1.25<br>71.13±1.43<br>83.90±1.71 | 80.09±0.58<br>61.97±15.54<br>74.34±1.04<br>72.92±1.34<br>84.39±0.84 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 2<br>2<br>2<br>2<br>2 | 93.10±0.82<br>90.87±1.36<br>91.96±0.20<br>91.80±0.29<br>94.96±0.20 | 96.60±0.72<br>94.31±2.00<br>94.57±0.30<br>95.96±0.24<br>97.43±0.30 | 3.40±0.72<br>5.69±2.00<br>5.43±0.30<br>4.04±0.24<br>2.57±0.30 | 24.85±5.84<br>26.03±7.36<br>28.05±1.56<br>33.08±1.38<br>20.83±1.64 | 77.20±5.20<br>60.56±15.27<br>63.38±1.22<br>73.41±1.95<br>82.13±2.39 | 75.15±5.84<br>53.97±13.92<br>71.95±1.56<br>66.92±1.38<br>79.17±1.64 | 74.63±1.74<br>56.90±14.42<br>67.31±0.65<br>69.99±1.50<br>80.43±0.38 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 3<br>3<br>3<br>3<br>3 | 92.61±0.56<br>89.76±0.71<br>90.81±0.22<br>93.14±0.24<br>95.16±0.27 | 93.12±0.84<br>93.50±1.12<br>90.81±0.22<br>96.03±0.27<br>97.18±0.22 | 6.88±0.84<br>6.50±1.12<br>9.19±0.22<br>3.97±0.27<br>2.82±0.22 | 16.33±4.43<br>46.26±12.21<br>4.00±4.00<br>36.51±1.39<br>23.35±3.13 | 28.36±8.11<br>34.43±11.69<br>0.92±0.25<br>61.03±2.22<br>73.68±2.40 | 83.67±4.43<br>33.74±9.29<br>96.00±4.00<br>63.49±1.39<br>76.65±3.13 | 38.90±8.09<br>33.17±10.27<br>1.81±0.49<br>62.15±1.47<br>74.79±1.11 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 4<br>4<br>4<br>4<br>4 | 95.28±1.88<br>93.12±0.93<br>93.60±0.20<br>96.31±0.16<br>98.34±0.09 | 98.42±0.61<br>96.50±1.31<br>93.55±0.20<br>97.96±0.14<br>99.09±0.13 | 1.58±0.61<br>3.50±1.31<br>6.45±0.20<br>2.04±0.14<br>0.91±0.13 | 20.89±10.60<br>31.47±8.98<br>4.41±0.72<br>20.92±1.19<br>9.02±1.56 | 83.34±6.79<br>61.83±15.86<br>28.50±1.02<br>78.82±1.58<br>91.06±1.20 | 79.11±10.60<br>48.53±12.88<br>95.59±0.72<br>79.08±1.19<br>90.98±1.56 | 77.68±5.86<br>54.32±14.18<br>43.87±1.24<br>78.92±1.16<br>90.95±0.47 |\n| SVM<br>MLP<br>LR<br>RF<br>CNN | 5<br>5<br>5<br>5<br>5 | 96.14±0.22<br>93.88±0.97<br>94.31±0.26<br>94.54±0.11<br>96.60±0.16 | 97.35±0.31<br>95.47±0.96<br>94.60±0.31<br>96.29±0.14<br>98.26±0.30 | 2.65±0.31<br>4.53±0.96<br>5.40±0.31<br>3.71±0.14<br>1.74±0.30 | 20.33±3.08<br>28.15±9.10<br>15.11±2.45<br>31.71±2.48<br>21.74±1.02 | 67.89±4.18<br>43.34±13.30<br>32.81±1.38<br>55.16±1.02<br>79.88±3.83 | 79.67±3.08<br>51.85±14.19<br>84.89±2.45<br>68.29±2.48<br>78.26±1.02 | 72.88±2.46<br>46.93±13.49<br>47.24±1.45<br>60.98±1.52<br>78.85±1.86 |","| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |\n| --- | --- | --- | --- | --- |\n| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |\n| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |\n| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 |",0]
["| Models | MR=0.01 | MR=0.04 | MR=0.10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss |  |\n| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |\n| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |","| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |\n| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |\n| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 |",1]
["| Models | MR=0.01 | MR=0.04 | MR=0.10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss |  |\n| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |\n| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |","| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |\n| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| Models | MR=0.01 | MR=0.04 | MR=0.10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss |  |\n| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |\n| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |\n| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |","| fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |\n| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 |",1]
["| Models | MR=0.01 | MR=0.04 | MR=0.10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss |  |\n| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |\n| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |\n| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |","| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| Processor | IPS |\n| --- | --- |\n| MSP430 | 6<br>16x10 |","| A9 | 3.6x10 |\n| --- | --- |\n| Celeron | 6.43x10 |\n| Corei3 | 36.8x10 |\n| Xeon | 136.20x10 |",1]
["| Processor | IPS |\n| --- | --- |\n| MSP430 | 6<br>16x10 |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| Processor | IPS |\n| --- | --- |\n| MSP430 | 6<br>16x10 |","| A9 | 3.6x10 |\n| --- | --- |\n| Celeron | 6.43x10 |\n| Corei3 | 36.8x10 |\n| Xeon | 136.20x10 |",1]
["| Processor | IPS |\n| --- | --- |\n| MSP430 | 6<br>16x10 |","| CUDASDK | 7.5 |\n| --- | --- |\n| PCIeBus | PCIex16Gen2 |",0]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |\n|  | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |\n|  | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |\n| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |","| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |\n| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 |",1]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |\n|  | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |\n|  | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |\n| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |","| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |\n|  | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |\n|  | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |\n| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |\n| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 |",0]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |","|  | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |\n| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |\n| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |\n| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |\n| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 |",1]
["| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |","|  | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |\n| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 |",0]
["| Algorithm | m=5000 | m=50 |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| MMPC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| HITON-PC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| MRMR(k=PC) | 1±0 | 1±0 | 0.8600±0.0966 | 0.8600±0.0966 |","| CMIM(k=PC) | 1±0 | 1±0 | 0.5800±0.1989 | 0.5800±0.1989 |\n| --- | --- | --- | --- | --- |\n| JMI(k=PC) | 1±0 | 1±0 | 0.8000±0.0943 | 0.8000±0.0943 |",1]
["| Algorithm | m=5000 | m=50 |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| MMPC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| HITON-PC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| MRMR(k=PC) | 1±0 | 1±0 | 0.8600±0.0966 | 0.8600±0.0966 |","| Algorithm | 5000cases | 50cases |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |\n| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |\n| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 |\n| MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |\n| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |\n| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 |",0]
["| Algorithm | m=5000 | m=50 |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| MMPC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |","| HITON-PC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |\n| --- | --- | --- | --- | --- |\n| MRMR(k=PC) | 1±0 | 1±0 | 0.8600±0.0966 | 0.8600±0.0966 |\n| CMIM(k=PC) | 1±0 | 1±0 | 0.5800±0.1989 | 0.5800±0.1989 |\n| JMI(k=PC) | 1±0 | 1±0 | 0.8000±0.0943 | 0.8000±0.0943 |",1]
["| Algorithm | m=5000 | m=50 |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| MMPC | 1±0 | 1±0 | 0.9714±0.0904 | 0.9200±0.1033 |","| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |\n| --- | --- | --- | --- | --- |\n| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 |",0]
["| NormofMeanMomentumforNGroup |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |","| \\|\\|E(N)\\|\\|j | 0.0001 | 9.39e-06 | 1.17e-05 | 9.07e-06 | 1.11e-05 | 0.0001 | 3.74e-05 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 8 | 9 | 10 | 11 | 12 | 13 |  |\n| \\|\\|E(N)\\|\\|j | 2.6610e-05 | 1.3453e-05 | 1.9547e-05 | 2.4342e-05 | 4.8575e-06 | 5.9788e-05 |  |",1]
["| NormofMeanMomentumforNGroup |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |","| ResultsonMomentumData |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |\n| r | 0.4535 | 0.4286 | 0.6906 | 0.6542 | 0.5561 | 0.4972 | 0.7187 |\n| Landmark | 8 | 9 | 10 | 11 | 12 | 13 |  |\n| r | 0.6825 | 0.5348 | 0.6155 | 0.5470 | 0.5554 | 0.4538 |  |",0]
["| NormofMeanMomentumforNGroup |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |","| \\|\\|E(N)\\|\\|j | 0.0001 | 9.39e-06 | 1.17e-05 | 9.07e-06 | 1.11e-05 | 0.0001 | 3.74e-05 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 8 | 9 | 10 | 11 | 12 | 13 |  |\n| \\|\\|E(N)\\|\\|j | 2.6610e-05 | 1.3453e-05 | 1.9547e-05 | 2.4342e-05 | 4.8575e-06 | 5.9788e-05 |  |",1]
["| NormofMeanMomentumforNGroup |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 1 | 2 | 3 | 4 | 5 | 6 | 7 |","| r | 0.4535 | 0.4286 | 0.6906 | 0.6542 | 0.5561 | 0.4972 | 0.7187 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Landmark | 8 | 9 | 10 | 11 | 12 | 13 |  |\n| r | 0.6825 | 0.5348 | 0.6155 | 0.5470 | 0.5554 | 0.4538 |  |",0]
["| Ldmk# | Ldmkname | Mean(mm) | SD(mm) | Max(mm) |\n| --- | --- | --- | --- | --- |\n| 1 | pognion(chin) | -3.796 | 3.138 | 1.805 |\n| 2(*) | chincleft | 0.237 | 1.254 | 6.952 |\n| 3 | lowerlip | -0.576 | 0.827 | 1.855 |\n| 4(*) | centrelip | -0.317 | 0.534 | 0.760 |\n| 5 | upperlip | -0.001 | 0.853 | 1.499 |","| 6 | subnasale | 0.992 | 1.195 | 4.306 |\n| --- | --- | --- | --- | --- |\n| 7 | pronasale | -2.011 | 0.990 | 0.000 |\n| 8 | nasion | -1.876 | 1.031 | 0.679 |",1]
["| Ldmk# | Ldmkname | Mean(mm) | SD(mm) | Max(mm) |\n| --- | --- | --- | --- | --- |\n| 1 | pognion(chin) | -3.796 | 3.138 | 1.805 |\n| 2(*) | chincleft | 0.237 | 1.254 | 6.952 |\n| 3 | lowerlip | -0.576 | 0.827 | 1.855 |\n| 4(*) | centrelip | -0.317 | 0.534 | 0.760 |\n| 5 | upperlip | -0.001 | 0.853 | 1.499 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| Ldmk# | Ldmkname | Mean(mm) | SD(mm) | Max(mm) |\n| --- | --- | --- | --- | --- |\n| 1 | pognion(chin) | -3.796 | 3.138 | 1.805 |\n| 2(*) | chincleft | 0.237 | 1.254 | 6.952 |","| 3 | lowerlip | -0.576 | 0.827 | 1.855 |\n| --- | --- | --- | --- | --- |\n| 4(*) | centrelip | -0.317 | 0.534 | 0.760 |\n| 5 | upperlip | -0.001 | 0.853 | 1.499 |\n| 6 | subnasale | 0.992 | 1.195 | 4.306 |\n| 7 | pronasale | -2.011 | 0.990 | 0.000 |\n| 8 | nasion | -1.876 | 1.031 | 0.679 |",1]
["| Ldmk# | Ldmkname | Mean(mm) | SD(mm) | Max(mm) |\n| --- | --- | --- | --- | --- |\n| 1 | pognion(chin) | -3.796 | 3.138 | 1.805 |\n| 2(*) | chincleft | 0.237 | 1.254 | 6.952 |","| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| Methods | CCC | MSE |  |  |\n| --- | --- | --- | --- | --- |\n|  | Valence | Arousal | Valence | Arousal |","| MM-Net | 0.196 | 0.214 | 0.134 | 0.088 |\n| --- | --- | --- | --- | --- |\n| FATAUVA-Net | 0.396 | 0.282 | 0.123 | 0.095 |\n| DRC-Net | 0.042 | 0.291 | 0.161 | 0.094 |",1]
["| Methods | CCC | MSE |  |  |\n| --- | --- | --- | --- | --- |\n|  | Valence | Arousal | Valence | Arousal |","| SameCategory | All |  |\n| --- | --- | --- |\n| ValenceArousal | ValenceArousal |  |\n| RMSE | 0.1900.261 | 0.3400.362 |\n| CORR | 0.9510.766 | 0.8230.567 |\n| SAGR | 0.9060.709 | 0.8150.667 |\n| CCC | 0.9510.746 | 0.8210.551 |",0]
["| Methods | CCC | MSE |  |  |\n| --- | --- | --- | --- | --- |\n|  | Valence | Arousal | Valence | Arousal |\n| MM-Net | 0.196 | 0.214 | 0.134 | 0.088 |","| FATAUVA-Net | 0.396 | 0.282 | 0.123 | 0.095 |\n| --- | --- | --- | --- | --- |\n| DRC-Net | 0.042 | 0.291 | 0.161 | 0.094 |",1]
["| Methods | CCC | MSE |  |  |\n| --- | --- | --- | --- | --- |\n|  | Valence | Arousal | Valence | Arousal |\n| MM-Net | 0.196 | 0.214 | 0.134 | 0.088 |","| SAGR | 0.9060.709 | 0.8150.667 |\n| --- | --- | --- |\n| CCC | 0.9510.746 | 0.8210.551 |",0]
["| Step | Complexity |\n| --- | --- |\n| 1 | O(Nl)orO(Km) |","| 2 | O(Nl)orO(Kml) |\n| --- | --- |\n| 3 | O(Kt) |\n| 4 | O(N)orO(Km/l) |",1]
["| Step | Complexity |\n| --- | --- |\n| 1 | O(Nl)orO(Km) |","|  | ExactlyK-sparsesignal |  |  |  |\n| --- | --- | --- | --- | --- |\n| Samples | Complexity | Assumption | Samples |  |\n|  | 4<br>O(KlogN) | 5<br>O(KlogN) | K=O(N) | 4<br>O(KlogN) |\n|  | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |\n|  | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |\n|  | O(K) | 3O(KlogN) | K=O(N) | void |\n|  | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |\n| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) |",0]
["| Step | Complexity |\n| --- | --- |\n| 1 | O(Nl)orO(Km) |\n| 2 | O(Nl)orO(Kml) |","| 3 | O(Kt) |\n| --- | --- |\n| 4 | O(N)orO(Km/l) |",1]
["| Step | Complexity |\n| --- | --- |\n| 1 | O(Nl)orO(Km) |\n| 2 | O(Nl)orO(Kml) |","|  | O(K) | O(KlogN) | K=O(N) | N<br>O(Klog()/loglogN)<br>K |\n| --- | --- | --- | --- | --- |\n|  | O(K) | O(KlogK+K(loglogN)) | K=O(N) | O(KlogN) |\n|  | O(K) | 3O(KlogN) | K=O(N) | void |\n|  | O(K) | O(KlogK) | α<br>K=O(N),α<1 | void |\n| Thispaper | O(K) | O(KlogK) | K=O(N) | O(K) |",0]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 1 | 2908 |\n| EX[H] | 1.716×10 | 2 | 2401 |\n| EX[H] | 1.716×10 | 4 | 937 |\n| EX[H] | 1.716×10 | 8 | 693 |\n| EX[H] | 1.716×10 | 16 | 251 |\n| EG[J] | 8<br>4.060×10 | 1 | 21678 |\n| EG[J] | 4.060×10 | 2 | 17147 |\n| EG[J] | 4.060×10 | 4 | 6525 |\n| EG[J] | 4.060×10 | 8 | 2983 |\n| EG[J] | 4.060×10 | 16 | 1226 |\n| E[KUH] | 7<br>7.524×10 | 1 | 1821 |","| E[KUH] | 7.524×10 | 2 | 1714 |\n| --- | --- | --- | --- |\n| E[KUH] | 7.524×10 | 4 | 602 |\n| E[KUH] | 7.524×10 | 8 | 377 |\n| E[KUH] | 7.524×10 | 16 | 203 |",1]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 1 | 2908 |\n| EX[H] | 1.716×10 | 2 | 2401 |\n| EX[H] | 1.716×10 | 4 | 937 |\n| EX[H] | 1.716×10 | 8 | 693 |\n| EX[H] | 1.716×10 | 16 | 251 |\n| EG[J] | 8<br>4.060×10 | 1 | 21678 |\n| EG[J] | 4.060×10 | 2 | 17147 |\n| EG[J] | 4.060×10 | 4 | 6525 |\n| EG[J] | 4.060×10 | 8 | 2983 |\n| EG[J] | 4.060×10 | 16 | 1226 |\n| E[KUH] | 7<br>7.524×10 | 1 | 1821 |","| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[B] | 1.153×10 | 1 | 660 |\n| EX[B] | 1.153×10 | 2 | 532 |\n| EX[B] | 1.153×10 | 4 | 241 |\n| EX[B] | 1.153×10 | 8 | 144 |\n| EX[B] | 1.153×10 | 16 | 120 |\n| EG[B] | 6<br>7.405×10 | 1 | 1567 |\n| EG[B] | 7.405×10 | 2 | 1356 |\n| EG[B] | 7.405×10 | 4 | 517 |\n| EG[B] | 7.405×10 | 8 | 391 |\n| EG[B] | 7.405×10 | 16 | 287 |\n| E[CUD] | 6<br>5.767×10 | 1 | 1357 |\n| E[CUD] | 5.767×10 | 2 | 1063 |\n| E[CUD] | 5.767×10 | 4 | 585 |\n| E[CUD] | 5.767×10 | 8 | 454 |\n| E[CUD] | 5.767×10 | 16 | 372 |",0]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 1 | 2908 |","| EX[H] | 1.716×10 | 2 | 2401 |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 4 | 937 |\n| EX[H] | 1.716×10 | 8 | 693 |\n| EX[H] | 1.716×10 | 16 | 251 |\n| EG[J] | 8<br>4.060×10 | 1 | 21678 |\n| EG[J] | 4.060×10 | 2 | 17147 |\n| EG[J] | 4.060×10 | 4 | 6525 |\n| EG[J] | 4.060×10 | 8 | 2983 |\n| EG[J] | 4.060×10 | 16 | 1226 |\n| E[KUH] | 7<br>7.524×10 | 1 | 1821 |\n| E[KUH] | 7.524×10 | 2 | 1714 |\n| E[KUH] | 7.524×10 | 4 | 602 |\n| E[KUH] | 7.524×10 | 8 | 377 |\n| E[KUH] | 7.524×10 | 16 | 203 |",1]
["| property | \\|[[property]]\\|T | #machines | time(s) |\n| --- | --- | --- | --- |\n| EX[H] | 1.716×10 | 1 | 2908 |","| E[CUD] | 5.767×10 | 4 | 585 |\n| --- | --- | --- | --- |\n| E[CUD] | 5.767×10 | 8 | 454 |\n| E[CUD] | 5.767×10 | 16 | 372 |",0]
["| Method | (cid:48)<br>F1 | (cid:48)<br>F2 | (cid:48)<br>F3 | (cid:48)<br>F4 | (cid:48)<br>F5 |\n| --- | --- | --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.102526 | 0.017912 | 0.171867 | 0.779188 | 0.971699 |\n| FrequencyTestwithinaBlock | 0.085587 | 0.657933 | 0.779188 | 0.897763 | 0.851383 |\n| CumulativeSums(Cusum)Test* | 0.264576 | 0.185074 | 0.228927 | 0.736333 | 0.462694 |\n| RunsTest | 0.739918 | 0.334538 | 0.798139 | 0.834308 | 0.153763 |\n| TestfortheLongestRunofOnesinaBlock | 0.678686 | 0.474986 | 0.637119 | 0.037566 | 0.366918 |\n| BinaryMatrixRankTest | 0.816537 | 0.534146 | 0.249284 | 0.883171 | 0.739918 |\n| DiscreteFourierTransform(Spectral)Test | 0.798139 | 0.474986 | 0.014550 | 0.366918 | 0.595549 |\n| Non-overlappingTemplateMatchingTest* | 0.489304 | 0.507177 | 0.477005 | 0.557597 | 0.452278 |\n| OverlappingTemplateMatchingTest | 0.514124 | 0.171867 | 0.162606 | 0.816537 | 0.319084 |\n| Maurer’s“UniversalStatistical”Test | 0.249284 | 0.171867 | 0.096578 | 0.419021 | 0.171867 |\n| ApproximateEntropyTest | 0.236810 | 0.514124 | 0.262249 | 0.816537 | 0.474986 |","| RandomExcursionsTest* | 0.353142 | 0.403219 | 0.229832 | 0.481025 | 0.317506 |\n| --- | --- | --- | --- | --- | --- |\n| RandomExcursionsVariantTest* | 0.412987 | 0.369181 | 0.313171 | 0.513679 | 0.274813 |\n| SerialTest*(m=10) | 0.304324 | 0.102735 | 0.270033 | 0.384058 | 0.456684 |\n| LinearComplexityTest | 0.759756 | 0.153763 | 0.883171 | 0.171867 | 0.366918 |\n| Success | 15/15 | 15/15 | 15/15 | 15/15 | 15/15 |\n| DiehardTest | pass | pass | pass | pass | pass |",1]
["| Method | (cid:48)<br>F1 | (cid:48)<br>F2 | (cid:48)<br>F3 | (cid:48)<br>F4 | (cid:48)<br>F5 |\n| --- | --- | --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.102526 | 0.017912 | 0.171867 | 0.779188 | 0.971699 |\n| FrequencyTestwithinaBlock | 0.085587 | 0.657933 | 0.779188 | 0.897763 | 0.851383 |\n| CumulativeSums(Cusum)Test* | 0.264576 | 0.185074 | 0.228927 | 0.736333 | 0.462694 |\n| RunsTest | 0.739918 | 0.334538 | 0.798139 | 0.834308 | 0.153763 |\n| TestfortheLongestRunofOnesinaBlock | 0.678686 | 0.474986 | 0.637119 | 0.037566 | 0.366918 |\n| BinaryMatrixRankTest | 0.816537 | 0.534146 | 0.249284 | 0.883171 | 0.739918 |\n| DiscreteFourierTransform(Spectral)Test | 0.798139 | 0.474986 | 0.014550 | 0.366918 | 0.595549 |\n| Non-overlappingTemplateMatchingTest* | 0.489304 | 0.507177 | 0.477005 | 0.557597 | 0.452278 |\n| OverlappingTemplateMatchingTest | 0.514124 | 0.171867 | 0.162606 | 0.816537 | 0.319084 |\n| Maurer’s“UniversalStatistical”Test | 0.249284 | 0.171867 | 0.096578 | 0.419021 | 0.171867 |\n| ApproximateEntropyTest | 0.236810 | 0.514124 | 0.262249 | 0.816537 | 0.474986 |","| Method | CIPRNG | XORshift | BBS |\n| --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.073128 | 0.145326 | 0.32435 |\n| FrequencyTestwithinaBlock | 0.719128 | 0.028817 | 0.000000 |\n| RunsTest | 0.314992 | 0.739918 | 0.000000 |\n| LongestRunofOnesinaBlockTest | 0.445121 | 0.554420 | 0.000000 |\n| BinaryMatrixRankTest | 0.888124 | 0.236810 | 0.000000 |\n| DiscreteFourierTransform(Spectral)Test | 0.912003 | 0.514124 | 0.000000 |\n| Non-overlappingTemplateMatchingTest* | 0.500459 | 0.512363 | 0.000000 |\n| OverlappingTemplateMatchingTest | 0.702445 | 0.595549 | 0.000000 |\n| UniversalStatisticalTest | 0.666230 | 0.122325 | 0.000000 |\n| LinearComplexityTest | 0.475761 | 0.249284 | 0.000000 |\n| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |\n| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| Success | 15/15 | 14/15 | 2/15 |",0]
["| Method | (cid:48)<br>F1 | (cid:48)<br>F2 | (cid:48)<br>F3 | (cid:48)<br>F4 | (cid:48)<br>F5 |\n| --- | --- | --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.102526 | 0.017912 | 0.171867 | 0.779188 | 0.971699 |\n| FrequencyTestwithinaBlock | 0.085587 | 0.657933 | 0.779188 | 0.897763 | 0.851383 |\n| CumulativeSums(Cusum)Test* | 0.264576 | 0.185074 | 0.228927 | 0.736333 | 0.462694 |\n| RunsTest | 0.739918 | 0.334538 | 0.798139 | 0.834308 | 0.153763 |\n| TestfortheLongestRunofOnesinaBlock | 0.678686 | 0.474986 | 0.637119 | 0.037566 | 0.366918 |\n| BinaryMatrixRankTest | 0.816537 | 0.534146 | 0.249284 | 0.883171 | 0.739918 |\n| DiscreteFourierTransform(Spectral)Test | 0.798139 | 0.474986 | 0.014550 | 0.366918 | 0.595549 |\n| Non-overlappingTemplateMatchingTest* | 0.489304 | 0.507177 | 0.477005 | 0.557597 | 0.452278 |\n| OverlappingTemplateMatchingTest | 0.514124 | 0.171867 | 0.162606 | 0.816537 | 0.319084 |","| Maurer’s“UniversalStatistical”Test | 0.249284 | 0.171867 | 0.096578 | 0.419021 | 0.171867 |\n| --- | --- | --- | --- | --- | --- |\n| ApproximateEntropyTest | 0.236810 | 0.514124 | 0.262249 | 0.816537 | 0.474986 |\n| RandomExcursionsTest* | 0.353142 | 0.403219 | 0.229832 | 0.481025 | 0.317506 |\n| RandomExcursionsVariantTest* | 0.412987 | 0.369181 | 0.313171 | 0.513679 | 0.274813 |\n| SerialTest*(m=10) | 0.304324 | 0.102735 | 0.270033 | 0.384058 | 0.456684 |\n| LinearComplexityTest | 0.759756 | 0.153763 | 0.883171 | 0.171867 | 0.366918 |\n| Success | 15/15 | 15/15 | 15/15 | 15/15 | 15/15 |\n| DiehardTest | pass | pass | pass | pass | pass |",1]
["| Method | (cid:48)<br>F1 | (cid:48)<br>F2 | (cid:48)<br>F3 | (cid:48)<br>F4 | (cid:48)<br>F5 |\n| --- | --- | --- | --- | --- | --- |\n| Frequency(Monobit)Test | 0.102526 | 0.017912 | 0.171867 | 0.779188 | 0.971699 |\n| FrequencyTestwithinaBlock | 0.085587 | 0.657933 | 0.779188 | 0.897763 | 0.851383 |\n| CumulativeSums(Cusum)Test* | 0.264576 | 0.185074 | 0.228927 | 0.736333 | 0.462694 |\n| RunsTest | 0.739918 | 0.334538 | 0.798139 | 0.834308 | 0.153763 |\n| TestfortheLongestRunofOnesinaBlock | 0.678686 | 0.474986 | 0.637119 | 0.037566 | 0.366918 |\n| BinaryMatrixRankTest | 0.816537 | 0.534146 | 0.249284 | 0.883171 | 0.739918 |\n| DiscreteFourierTransform(Spectral)Test | 0.798139 | 0.474986 | 0.014550 | 0.366918 | 0.595549 |\n| Non-overlappingTemplateMatchingTest* | 0.489304 | 0.507177 | 0.477005 | 0.557597 | 0.452278 |\n| OverlappingTemplateMatchingTest | 0.514124 | 0.171867 | 0.162606 | 0.816537 | 0.319084 |","| SerialTest*(m=10) | 0.780099 | 0.495847 | 0.043355 |\n| --- | --- | --- | --- |\n| ApproximateEntropyTest(m=10) | 0.679102 | 0.000000 | 0.000000 |\n| CumulativeSums(Cusum)Test* | 0.819200 | 0.074404 | 0.000000 |\n| RandomExcursionsTest* | 0.697803 | 0.507812 | 0.000000 |\n| RandomExcursionsVariantTest* | 0.338243 | 0.289594 | 0.000000 |\n| Success | 15/15 | 14/15 | 2/15 |",0]
["| ActualObservations |  |\n| --- | --- |\n|  | Multipleof∆ |\n| t=00 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.500000000000000.500000000000000.500000000000000.50000000000000<br>0.622459331201850.880797077977880.982013790037910.99752737684337<br>0.731058578630000.982013790037910.999664649869530.99999385582540<br>0.817574476193640.997527376843370.999993855825400.99999998477002<br>0.880797077977880.999664649869530.999999887464840.99999999996225<br>0.924141819978760.999954602131300.999999997938850.99999999999991 |","|  | Multipleof∆ |\n| --- | --- |\n| t=40 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.982013790037910.982013790037910.982013790037910.98201379003791<br>0.989013057369410.997527376843370.999664649869530.99995460213130<br>0.993307149075720.999664649869530.999993855825400.99999988746484<br>0.995929862284100.999954602131300.999999887464840.99999999972105<br>0.997527376843370.999993855825400.999999997938850.99999999999931<br>0.998498817743260.999999168471970.999999999962251.00000000000000 |\n|  | Multipleof∆ |\n| t=80 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.999664649869530.999664649869530.999664649869530.99966464986953<br>0.999796573021940.999954602131300.999993855825400.99999916847197<br>0.999876605424010.999993855825400.999999887464840.99999999793885<br>0.999925153772490.999999168471970.999999997938850.99999999999489<br>0.999954602131300.999999887464840.999999999962250.99999999999999<br>0.999972464308890.999999984770020.999999999999311.00000000000000 |",1]
["| ActualObservations |  |\n| --- | --- |\n|  | Multipleof∆ |\n| t=00 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.500000000000000.500000000000000.500000000000000.50000000000000<br>0.622459331201850.880797077977880.982013790037910.99752737684337<br>0.731058578630000.982013790037910.999664649869530.99999385582540<br>0.817574476193640.997527376843370.999993855825400.99999998477002<br>0.880797077977880.999664649869530.999999887464840.99999999996225<br>0.924141819978760.999954602131300.999999997938850.99999999999991 |","| i | xandx12 | xthroughx3i |\n| --- | --- | --- |\n| 3 | 2.127480103088468 | 2.715029663803688 |\n| 4 | 3.2023557495551507 | 4.175556640172782 |\n| 5 | 4.270167577054796 | 5.608618419590356 |\n| 6 | 5.335126162486634 | 7.033301794415261 |\n| 7 | 6.3986555212789265 | 8.454218195486414 |\n| 8 | 7.461367172755974 | 9.873101560726544 |\n| 9 | 8.52356722480373 | 11.290758818589284 |\n| 10 | 9.585425903496056 | 12.707618366991161 |",0]
["| ActualObservations |  |\n| --- | --- |\n|  | Multipleof∆ |\n| t=00 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.500000000000000.500000000000000.500000000000000.50000000000000<br>0.622459331201850.880797077977880.982013790037910.99752737684337<br>0.731058578630000.982013790037910.999664649869530.99999385582540<br>0.817574476193640.997527376843370.999993855825400.99999998477002<br>0.880797077977880.999664649869530.999999887464840.99999999996225<br>0.924141819978760.999954602131300.999999997938850.99999999999991 |\n|  | Multipleof∆ |\n| t=40 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.982013790037910.982013790037910.982013790037910.98201379003791<br>0.989013057369410.997527376843370.999664649869530.99995460213130<br>0.993307149075720.999664649869530.999993855825400.99999988746484<br>0.995929862284100.999954602131300.999999887464840.99999999972105<br>0.997527376843370.999993855825400.999999997938850.99999999999931<br>0.998498817743260.999999168471970.999999999962251.00000000000000 |","|  | Multipleof∆ |\n| --- | --- |\n| t=80 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.999664649869530.999664649869530.999664649869530.99966464986953<br>0.999796573021940.999954602131300.999993855825400.99999916847197<br>0.999876605424010.999993855825400.999999887464840.99999999793885<br>0.999925153772490.999999168471970.999999997938850.99999999999489<br>0.999954602131300.999999887464840.999999999962250.99999999999999<br>0.999972464308890.999999984770020.999999999999311.00000000000000 |",1]
["| ActualObservations |  |\n| --- | --- |\n|  | Multipleof∆ |\n| t=00 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.500000000000000.500000000000000.500000000000000.50000000000000<br>0.622459331201850.880797077977880.982013790037910.99752737684337<br>0.731058578630000.982013790037910.999664649869530.99999385582540<br>0.817574476193640.997527376843370.999993855825400.99999998477002<br>0.880797077977880.999664649869530.999999887464840.99999999996225<br>0.924141819978760.999954602131300.999999997938850.99999999999991 |\n|  | Multipleof∆ |\n| t=40 | 14812 |\n| z0<br>z1<br>z2<br>z3<br>z4<br>z5 | 0.982013790037910.982013790037910.982013790037910.98201379003791<br>0.989013057369410.997527376843370.999664649869530.99995460213130<br>0.993307149075720.999664649869530.999993855825400.99999988746484<br>0.995929862284100.999954602131300.999999887464840.99999999972105<br>0.997527376843370.999993855825400.999999997938850.99999999999931<br>0.998498817743260.999999168471970.999999999962251.00000000000000 |","| 8 | 7.461367172755974 | 9.873101560726544 |\n| --- | --- | --- |\n| 9 | 8.52356722480373 | 11.290758818589284 |\n| 10 | 9.585425903496056 | 12.707618366991161 |",0]
["| MirrorType |  |  |  |\n| --- | --- | --- | --- |\n| Parameter | Hyperbolic | Parabolic | Spheric |\n| A | -1.2 | 0 | 1 |","| B | 3.4 | 20.4 | 0 |\n| --- | --- | --- | --- |\n| C | -33.2 | 53.2 | 900 |\n| COP(x,y,z) | (0,25,25) | (0,30,20) | (0,-15,55) |",1]
["| MirrorType |  |  |  |\n| --- | --- | --- | --- |\n| Parameter | Hyperbolic | Parabolic | Spheric |\n| A | -1.2 | 0 | 1 |","| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["| MirrorType |  |  |  |\n| --- | --- | --- | --- |\n| Parameter | Hyperbolic | Parabolic | Spheric |","| A | -1.2 | 0 | 1 |\n| --- | --- | --- | --- |\n| B | 3.4 | 20.4 | 0 |\n| C | -33.2 | 53.2 | 900 |\n| COP(x,y,z) | (0,25,25) | (0,30,20) | (0,-15,55) |",1]
["| MirrorType |  |  |  |\n| --- | --- | --- | --- |\n| Parameter | Hyperbolic | Parabolic | Spheric |","| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 610 | 550 | 1186 | 1157 | 1755 | 1675 | 2267 | 2081 | 2786 | 2463 | 3270 | 3152 |\n| data | 183 | 181 | 369 | 368 | 640 | 628 | 1130 | 1086 | 1907 | 1777 | 3073 | 2798 |\n| 3elt | 87 | 87 | 198 | 197 | 336 | 330 | 572 | 560 | 1009 | 950 | 1645 | 1539 |\n| uk | 18 | 18 | 39 | 40 | 81 | 78 | 150 | 139 | 272 | 246 | 456 | 410 |","| add32 | 10 | 10 | 33 | 33 | 63 | 65 | 117 | 117 | 212 | 212 | 491 | 493 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| bcsstk33 | 9914 | 9914 | 20198 | 20584 | 33971 | 33938 | 55273 | 54323 | 79159 | 77163 | 111659 | 106886 |\n| whitaker3 | 126 | 126 | 380 | 378 | 658 | 650 | 1110 | 1084 | 1741 | 1686 | 2663 | 2535 |\n| crack | 182 | 182 | 361 | 360 | 673 | 667 | 1096 | 1080 | 1749 | 1679 | 2681 | 2548 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19021 | 18778 | 24203 | 23930 | 34298 | 31235 | 42890 | 39592 | 50994 | 48200 |\n| bcsstk29 | 2818 | 2818 | 7936 | 7942 | 13619 | 13614 | 21914 | 20924 | 34906 | 33818 | 57220 | 54935 |\n| 4elt | 137 | 137 | 318 | 315 | 519 | 516 | 925 | 902 | 1574 | 1532 | 2673 | 2565 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 900 | 890 | 1708 | 1716 | 2830 | 2725 | 4227 | 4037 | 6127 | 5684 |\n| memplus | 5516 | 5267 | 10011 | 9299 | 12458 | 11555 | 14047 | 13078 | 15749 | 14170 | 18213 | 16454 |\n| cs4 | 363 | 356 | 955 | 936 | 1483 | 1467 | 2184 | 2126 | 3115 | 2995 | 4394 | 4116 |\n| bcsstk30 | 6251 | 6251 | 16186 | 16332 | 34146 | 34350 | 69520 | 70043 | 114960 | 113321 | 175723 | 170591 |\n| bcsstk31 | 2676 | 2676 | 7099 | 7152 | 12941 | 13058 | 23603 | 23254 | 38150 | 37459 | 60768 | 57534 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4622 | 4644 | 8454 | 8481 | 19678 | 20099 | 35208 | 35965 | 60441 | 59824 | 94238 | 91006 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 65 | 65 | 202 | 196 | 457 | 454 | 839 | 818 | 1398 | 1376 | 2229 | 2168 |\n| wing | 784 | 770 | 1654 | 1636 | 2528 | 2551 | 3998 | 4015 | 5915 | 5806 | 8228 | 7991 |\n| brack2 | 660 | 660 | 2745 | 2739 | 6671 | 6781 | 11358 | 11558 | 17256 | 17529 | 26321 | 26281 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 | 10583 | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2338 | 2336 | 7763 | 7851 | 15544 | 15721 | 25585 | 25808 | 39144 | 39369 | 57412 | 58031 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6373 | 6362 | 15036 | 15250 | 25025 | 25259 | 37433 | 38225 | 56345 | 56926 | 79296 | 80257 |\n| wave | 8598 | 8563 | 16662 | 16820 | 28615 | 28700 | 42482 | 42800 | 61788 | 62520 | 85658 | 86663 |\n| m14b | 3806 | 3802 | 12976 | 13136 | 25292 | 25679 | 41750 | 42608 | 65231 | 66793 | 98005 | 99063 |\n| auto | 9487 | 9450 | 25399 | 25883 | 44520 | 45039 | 75066 | 76488 | 120001 | 122378 | 171459 | 173968 |",1]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 610 | 550 | 1186 | 1157 | 1755 | 1675 | 2267 | 2081 | 2786 | 2463 | 3270 | 3152 |\n| data | 183 | 181 | 369 | 368 | 640 | 628 | 1130 | 1086 | 1907 | 1777 | 3073 | 2798 |\n| 3elt | 87 | 87 | 198 | 197 | 336 | 330 | 572 | 560 | 1009 | 950 | 1645 | 1539 |\n| uk | 18 | 18 | 39 | 40 | 81 | 78 | 150 | 139 | 272 | 246 | 456 | 410 |","| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 |  | 2687 |  | 3236 |\n| data | 190 | 188 | 405 | 383 | 699 | 660 |  | 1162 |  | 1865 |  | 2885 |\n| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 |  | 969 |  | 1564 |\n| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 |  | 258 |  | 438 |\n| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 |  | 493 |\n| bcsstk33 | 10105 | 10097 | 21756 | 21508 | 34377 | 34178 | 56687 | 54860 |  | 78132 |  | 108505 |\n| whitaker3 | 126 | 126 | 382 | 380 | 670 | 656 | 1163 | 1093 |  | 1717 |  | 2567 |\n| crack | 184 | 183 | 370 | 362 | 696 | 678 | 1183 | 1092 |  | 1707 |  | 2566 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19267 | 19199 | 25190 | 24553 | 35514 | 32167 | 46331 | 41399 |  | 49521 |\n| bcsstk29 | 2818 | 2818 | 8035 | 8159 | 14212 | 13965 | 23808 | 21768 |  | 34886 |  | 57054 |\n| 4elt | 138 | 138 | 325 | 321 | 561 | 534 | 1009 | 939 |  | 1559 |  | 2596 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 950 | 944 | 1815 | 1802 | 3056 | 2906 | 5044 | 4223 |  | 5875 |\n| memplus | 5698 | 5489 | 10234 | 9559 | 12599 | 11785 | 14410 | 13241 | 16340 | 14395 |  | 16857 |\n| cs4 | 378 | 367 | 970 | 940 | 1520 | 1467 | 2285 | 2206 | 3521 | 3090 |  | 4169 |\n| bcsstk30 | 6347 | 6335 | 16617 | 16622 | 34761 | 34604 | 72028 | 71234 |  | 115770 |  | 173945 |\n| bcsstk31 | 2723 | 2701 | 7351 | 7444 | 13371 | 13417 | 24791 | 24277 | 42745 | 38086 |  | 60528 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4667 | 4667 | 9247 | 9492 | 20855 | 21490 | 37372 | 37673 | 72471 | 61144 |  | 95199 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| t60k | 78 | 75 | 213 | 211 | 470 | 465 | 866 | 849 | 1493 | 1391 |  | 2211 |\n| wing | 803 | 787 | 1683 | 1666 | 2616 | 2589 | 4147 | 4131 | 6271 | 5902 |  | 8132 |\n| brack2 | 708 | 708 | 3027 | 3038 | 7144 | 7269 | 11969 | 11983 | 18496 | 17798 |  | 26557 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 |  | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",0]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 610 | 550 | 1186 | 1157 | 1755 | 1675 | 2267 | 2081 | 2786 | 2463 | 3270 | 3152 |\n| data | 183 | 181 | 369 | 368 | 640 | 628 | 1130 | 1086 | 1907 | 1777 | 3073 | 2798 |\n| 3elt | 87 | 87 | 198 | 197 | 336 | 330 | 572 | 560 | 1009 | 950 | 1645 | 1539 |\n| uk | 18 | 18 | 39 | 40 | 81 | 78 | 150 | 139 | 272 | 246 | 456 | 410 |\n| add32 | 10 | 10 | 33 | 33 | 63 | 65 | 117 | 117 | 212 | 212 | 491 | 493 |\n| bcsstk33 | 9914 | 9914 | 20198 | 20584 | 33971 | 33938 | 55273 | 54323 | 79159 | 77163 | 111659 | 106886 |\n| whitaker3 | 126 | 126 | 380 | 378 | 658 | 650 | 1110 | 1084 | 1741 | 1686 | 2663 | 2535 |\n| crack | 182 | 182 | 361 | 360 | 673 | 667 | 1096 | 1080 | 1749 | 1679 | 2681 | 2548 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19021 | 18778 | 24203 | 23930 | 34298 | 31235 | 42890 | 39592 | 50994 | 48200 |\n| bcsstk29 | 2818 | 2818 | 7936 | 7942 | 13619 | 13614 | 21914 | 20924 | 34906 | 33818 | 57220 | 54935 |\n| 4elt | 137 | 137 | 318 | 315 | 519 | 516 | 925 | 902 | 1574 | 1532 | 2673 | 2565 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 900 | 890 | 1708 | 1716 | 2830 | 2725 | 4227 | 4037 | 6127 | 5684 |\n| memplus | 5516 | 5267 | 10011 | 9299 | 12458 | 11555 | 14047 | 13078 | 15749 | 14170 | 18213 | 16454 |\n| cs4 | 363 | 356 | 955 | 936 | 1483 | 1467 | 2184 | 2126 | 3115 | 2995 | 4394 | 4116 |\n| bcsstk30 | 6251 | 6251 | 16186 | 16332 | 34146 | 34350 | 69520 | 70043 | 114960 | 113321 | 175723 | 170591 |\n| bcsstk31 | 2676 | 2676 | 7099 | 7152 | 12941 | 13058 | 23603 | 23254 | 38150 | 37459 | 60768 | 57534 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4622 | 4644 | 8454 | 8481 | 19678 | 20099 | 35208 | 35965 | 60441 | 59824 | 94238 | 91006 |","|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t60k | 65 | 65 | 202 | 196 | 457 | 454 | 839 | 818 | 1398 | 1376 | 2229 | 2168 |\n| wing | 784 | 770 | 1654 | 1636 | 2528 | 2551 | 3998 | 4015 | 5915 | 5806 | 8228 | 7991 |\n| brack2 | 660 | 660 | 2745 | 2739 | 6671 | 6781 | 11358 | 11558 | 17256 | 17529 | 26321 | 26281 |\n| ﬁnan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 | 10583 | 10560 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 598a | 2338 | 2336 | 7763 | 7851 | 15544 | 15721 | 25585 | 25808 | 39144 | 39369 | 57412 | 58031 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6373 | 6362 | 15036 | 15250 | 25025 | 25259 | 37433 | 38225 | 56345 | 56926 | 79296 | 80257 |\n| wave | 8598 | 8563 | 16662 | 16820 | 28615 | 28700 | 42482 | 42800 | 61788 | 62520 | 85658 | 86663 |\n| m14b | 3806 | 3802 | 12976 | 13136 | 25292 | 25679 | 41750 | 42608 | 65231 | 66793 | 98005 | 99063 |\n| auto | 9487 | 9450 | 25399 | 25883 | 44520 | 45039 | 75066 | 76488 | 120001 | 122378 | 171459 | 173968 |",1]
["| Graph | 2 | 4 | 8 | 16 | 32 | 64 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| add20 | 610 | 550 | 1186 | 1157 | 1755 | 1675 | 2267 | 2081 | 2786 | 2463 | 3270 | 3152 |\n| data | 183 | 181 | 369 | 368 | 640 | 628 | 1130 | 1086 | 1907 | 1777 | 3073 | 2798 |\n| 3elt | 87 | 87 | 198 | 197 | 336 | 330 | 572 | 560 | 1009 | 950 | 1645 | 1539 |\n| uk | 18 | 18 | 39 | 40 | 81 | 78 | 150 | 139 | 272 | 246 | 456 | 410 |\n| add32 | 10 | 10 | 33 | 33 | 63 | 65 | 117 | 117 | 212 | 212 | 491 | 493 |\n| bcsstk33 | 9914 | 9914 | 20198 | 20584 | 33971 | 33938 | 55273 | 54323 | 79159 | 77163 | 111659 | 106886 |\n| whitaker3 | 126 | 126 | 380 | 378 | 658 | 650 | 1110 | 1084 | 1741 | 1686 | 2663 | 2535 |\n| crack | 182 | 182 | 361 | 360 | 673 | 667 | 1096 | 1080 | 1749 | 1679 | 2681 | 2548 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| vibrobox | 11538 | 10310 | 19021 | 18778 | 24203 | 23930 | 34298 | 31235 | 42890 | 39592 | 50994 | 48200 |\n| bcsstk29 | 2818 | 2818 | 7936 | 7942 | 13619 | 13614 | 21914 | 20924 | 34906 | 33818 | 57220 | 54935 |\n| 4elt | 137 | 137 | 318 | 315 | 519 | 516 | 925 | 902 | 1574 | 1532 | 2673 | 2565 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| cti | 318 | 318 | 900 | 890 | 1708 | 1716 | 2830 | 2725 | 4227 | 4037 | 6127 | 5684 |\n| memplus | 5516 | 5267 | 10011 | 9299 | 12458 | 11555 | 14047 | 13078 | 15749 | 14170 | 18213 | 16454 |\n| cs4 | 363 | 356 | 955 | 936 | 1483 | 1467 | 2184 | 2126 | 3115 | 2995 | 4394 | 4116 |\n| bcsstk30 | 6251 | 6251 | 16186 | 16332 | 34146 | 34350 | 69520 | 70043 | 114960 | 113321 | 175723 | 170591 |\n| bcsstk31 | 2676 | 2676 | 7099 | 7152 | 12941 | 13058 | 23603 | 23254 | 38150 | 37459 | 60768 | 57534 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| bcsstk32 | 4622 | 4644 | 8454 | 8481 | 19678 | 20099 | 35208 | 35965 | 60441 | 59824 | 94238 | 91006 |","| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 |  | 59098 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 |  | 81145 |\n| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 |  | 88863 |\n| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 |  | 101551 |\n| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 |",0]
["|  | transferlimit | non-existingaddr. | suicide | blackhole |\n| --- | --- | --- | --- | --- |\n| Likelihood | 1 | 1 | 2 | 3 |\n| Severity | 2 | 3 | 3 | 2 |","| Diﬃculty | 2 | 2 | 3 | 2 |\n| --- | --- | --- | --- | --- |\n| αpr | 4 | 6 | 18 | 12 |",1]
["|  | transferlimit | non-existingaddr. | suicide | blackhole |\n| --- | --- | --- | --- | --- |\n| Likelihood | 1 | 1 | 2 | 3 |\n| Severity | 2 | 3 | 3 | 2 |","| Number | Operation | Oldvalue | EIP150value |\n| --- | --- | --- | --- |\n|  | EXTCODESIZE | 20 | 700 |\n|  | EXTCODECOPY | 20 | 700 |\n|  | BALANCE | 20 | 400 |\n|  | SLOAD | 50 | 200 |\n|  | CALL | 40 | 700 |\n|  | SUICIDE(doesnotcreateaccount) | 0 | 5,000 |\n|  | SUICIDE(createsanaccount) | 0 | 25,000 |",0]
["|  | transferlimit | non-existingaddr. | suicide | blackhole |\n| --- | --- | --- | --- | --- |\n| Likelihood | 1 | 1 | 2 | 3 |\n| Severity | 2 | 3 | 3 | 2 |","| Diﬃculty | 2 | 2 | 3 | 2 |\n| --- | --- | --- | --- | --- |\n| αpr | 4 | 6 | 18 | 12 |",1]
["|  | transferlimit | non-existingaddr. | suicide | blackhole |\n| --- | --- | --- | --- | --- |\n| Likelihood | 1 | 1 | 2 | 3 |\n| Severity | 2 | 3 | 3 | 2 |","|  | EXTCODECOPY | 20 | 700 |\n| --- | --- | --- | --- |\n|  | BALANCE | 20 | 400 |\n|  | SLOAD | 50 | 200 |\n|  | CALL | 40 | 700 |\n|  | SUICIDE(doesnotcreateaccount) | 0 | 5,000 |\n|  | SUICIDE(createsanaccount) | 0 | 25,000 |",0]
["| Usecase | Typeofdata | Securityneed | Speciﬁcity |\n| --- | --- | --- | --- |\n| PeerSense | BDADDR:social-ID | private | device-speciﬁc |\n| SCAMPI | SCAMPI-ID:social-ID | private | device-speciﬁc |","| FoFﬁnder | bearertoken | private | user-speciﬁc |\n| --- | --- | --- | --- |\n| Publickeydistribution | publickey | public | user-speciﬁc |",1]
["| Usecase | Typeofdata | Securityneed | Speciﬁcity |\n| --- | --- | --- | --- |\n| PeerSense | BDADDR:social-ID | private | device-speciﬁc |\n| SCAMPI | SCAMPI-ID:social-ID | private | device-speciﬁc |","| Key | Explanation |\n| --- | --- |\n| d: | [TheEntireDictionary] |\n| la: | [IP:PortinNetwork-ByteOrder] |\n| m: | [MessageTypeHeader,e.g.,getpeers] |\n| peer: | [LocalPeerID] |\n| share: | [LocalShareID] |\n| e: | [End] |",0]
["| Usecase | Typeofdata | Securityneed | Speciﬁcity |\n| --- | --- | --- | --- |\n| PeerSense | BDADDR:social-ID | private | device-speciﬁc |\n| SCAMPI | SCAMPI-ID:social-ID | private | device-speciﬁc |","| FoFﬁnder | bearertoken | private | user-speciﬁc |\n| --- | --- | --- | --- |\n| Publickeydistribution | publickey | public | user-speciﬁc |",1]
["| Usecase | Typeofdata | Securityneed | Speciﬁcity |\n| --- | --- | --- | --- |\n| PeerSense | BDADDR:social-ID | private | device-speciﬁc |\n| SCAMPI | SCAMPI-ID:social-ID | private | device-speciﬁc |","| peer: | [LocalPeerID] |\n| --- | --- |\n| share: | [LocalShareID] |\n| e: | [End] |",0]
["| Scene | Objects | Frames | 3D<br>points |\n| --- | --- | --- | --- |\n| 1 | 16 | 880 | 13.5x10 |\n| 2 | 14 | 728 | 13.7x10 |\n| 3 | 12 | 763 | 9.7x10 |\n| 4 | 12 | 714 | 5.7x10 |\n| 5 | 15 | 1316 | 11.6x10 |","| 6 | 15 | 451 | 7.7x10 |\n| --- | --- | --- | --- |\n| 7 | 11 | 740 | 13.2x10 |\n| 8 | 10 | 398 | 13.5x10 |\n| 9 | 13 | 745 | 8.3x10 |",1]
["| Scene | Objects | Frames | 3D<br>points |\n| --- | --- | --- | --- |\n| 1 | 16 | 880 | 13.5x10 |\n| 2 | 14 | 728 | 13.7x10 |\n| 3 | 12 | 763 | 9.7x10 |\n| 4 | 12 | 714 | 5.7x10 |\n| 5 | 15 | 1316 | 11.6x10 |","| Method | Scene1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 |\n| P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 |\n| P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene2 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 |\n| P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 |\n| P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene3 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 |\n| P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 |\n| P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene4 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 |\n| P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 |\n| P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene5 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |\n| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 |\n| P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |",0]
["| Scene | Objects | Frames | 3D<br>points |\n| --- | --- | --- | --- |\n| 1 | 16 | 880 | 13.5x10 |\n| 2 | 14 | 728 | 13.7x10 |\n| 3 | 12 | 763 | 9.7x10 |\n| 4 | 12 | 714 | 5.7x10 |\n| 5 | 15 | 1316 | 11.6x10 |\n| 6 | 15 | 451 | 7.7x10 |\n| 7 | 11 | 740 | 13.2x10 |","| 8 | 10 | 398 | 13.5x10 |\n| --- | --- | --- | --- |\n| 9 | 13 | 745 | 8.3x10 |",1]
["| Scene | Objects | Frames | 3D<br>points |\n| --- | --- | --- | --- |\n| 1 | 16 | 880 | 13.5x10 |\n| 2 | 14 | 728 | 13.7x10 |\n| 3 | 12 | 763 | 9.7x10 |\n| 4 | 12 | 714 | 5.7x10 |\n| 5 | 15 | 1316 | 11.6x10 |\n| 6 | 15 | 451 | 7.7x10 |\n| 7 | 11 | 740 | 13.2x10 |","| P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene2 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 |\n| P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 |\n| P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene3 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 |\n| P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 |\n| P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene4 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 |\n| P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 |\n| P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |\n|  | Scene5 |  |  |  |  |  |  |  |  |  |\n| 4ViewAVP | 8ViewAVP |  |  |  |  |  |  |  |  |  |\n| chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg |  |\n| Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |\n| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 |\n| P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 |\n| ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |",0]
["| b | Lev+Binomial | Lev+Uniform |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | new/ideal | fb/ideal | f/ideal |  |\n| 2 | 18.12 | 435.29 | 12513.00 | 10.68 | 1686.54 | 74164.46 |\n| 3 | 20.12 | 861.60 | 103772.38 | 12.14 | 3392.04 | 262620.28 |\n| 4 | 22.04 | 11936.27 |  | 14.59 | 73079.20 |  |\n| 5 | 25.30 | 23053.83 |  | 17.33 | 136324.69 |  |\n| 6 | 38.04 |  |  | 25.22 |  |  |\n| 7 | 41.01 |  |  | 27.06 |  |  |\n| 8 | 53.56 |  |  | 33.69 |  |  |\n| 9 | 60.33 |  |  | 39.79 |  |  |\n| 10 | 81.73 |  |  | 56.57 |  |  |\n| 11 | 89.99 |  |  | 61.09 |  |  |\n| 12 | 156.64 |  |  | 114.70 |  |  |","| 13 | 164.48 |  |  | 124.96 |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 14 | 188.93 |  |  | 137.76 |  |  |\n| 15 | 188.52 |  |  | 136.48 |  |  |",1]
["| b | Lev+Binomial | Lev+Uniform |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | new/ideal | fb/ideal | f/ideal |  |\n| 2 | 18.12 | 435.29 | 12513.00 | 10.68 | 1686.54 | 74164.46 |\n| 3 | 20.12 | 861.60 | 103772.38 | 12.14 | 3392.04 | 262620.28 |\n| 4 | 22.04 | 11936.27 |  | 14.59 | 73079.20 |  |\n| 5 | 25.30 | 23053.83 |  | 17.33 | 136324.69 |  |\n| 6 | 38.04 |  |  | 25.22 |  |  |\n| 7 | 41.01 |  |  | 27.06 |  |  |\n| 8 | 53.56 |  |  | 33.69 |  |  |\n| 9 | 60.33 |  |  | 39.79 |  |  |\n| 10 | 81.73 |  |  | 56.57 |  |  |\n| 11 | 89.99 |  |  | 61.09 |  |  |\n| 12 | 156.64 |  |  | 114.70 |  |  |","| Levenshteindistancewithmergesandsplits,lexiconofbooktitles |  |  |  |\n| --- | --- | --- | --- |\n| b | new/ideal | fb/ideal | f/ideal |\n| 2 | 51.69 | 2297.07 | 37428.91 |\n| 3 | 155.55 | 7199.24 |  |\n| 4 | 693.20 | 42141.64 |  |\n| 5 | 788.27 | 112676.78 |  |\n| 6 | 1091.35 |  |  |\n| 7 | 1229.88 |  |  |\n| 8 | 2267.31 |  |  |\n| 9 | 1868.38 |  |  |\n| 10 | 2462.66 |  |  |\n| 11 | 2151.49 |  |  |\n| 12 | 3352.05 |  |  |\n| 13 | 3077.23 |  |  |\n| 14 | 3350.26 |  |  |\n| 15 | 3210.70 |  |  |",0]
["| b | Lev+Binomial | Lev+Uniform |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | new/ideal | fb/ideal | f/ideal |  |\n| 2 | 18.12 | 435.29 | 12513.00 | 10.68 | 1686.54 | 74164.46 |\n| 3 | 20.12 | 861.60 | 103772.38 | 12.14 | 3392.04 | 262620.28 |\n| 4 | 22.04 | 11936.27 |  | 14.59 | 73079.20 |  |","| 5 | 25.30 | 23053.83 |  | 17.33 | 136324.69 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 6 | 38.04 |  |  | 25.22 |  |  |\n| 7 | 41.01 |  |  | 27.06 |  |  |\n| 8 | 53.56 |  |  | 33.69 |  |  |\n| 9 | 60.33 |  |  | 39.79 |  |  |\n| 10 | 81.73 |  |  | 56.57 |  |  |\n| 11 | 89.99 |  |  | 61.09 |  |  |\n| 12 | 156.64 |  |  | 114.70 |  |  |\n| 13 | 164.48 |  |  | 124.96 |  |  |\n| 14 | 188.93 |  |  | 137.76 |  |  |\n| 15 | 188.52 |  |  | 136.48 |  |  |",1]
["| b | Lev+Binomial | Lev+Uniform |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  | new/ideal | fb/ideal | f/ideal |  |\n| 2 | 18.12 | 435.29 | 12513.00 | 10.68 | 1686.54 | 74164.46 |\n| 3 | 20.12 | 861.60 | 103772.38 | 12.14 | 3392.04 | 262620.28 |\n| 4 | 22.04 | 11936.27 |  | 14.59 | 73079.20 |  |","| 2 | 51.69 | 2297.07 | 37428.91 |\n| --- | --- | --- | --- |\n| 3 | 155.55 | 7199.24 |  |\n| 4 | 693.20 | 42141.64 |  |\n| 5 | 788.27 | 112676.78 |  |\n| 6 | 1091.35 |  |  |\n| 7 | 1229.88 |  |  |\n| 8 | 2267.31 |  |  |\n| 9 | 1868.38 |  |  |\n| 10 | 2462.66 |  |  |\n| 11 | 2151.49 |  |  |\n| 12 | 3352.05 |  |  |\n| 13 | 3077.23 |  |  |\n| 14 | 3350.26 |  |  |\n| 15 | 3210.70 |  |  |",0]
["| Country | PowerDist. | Individualism | Masculinity |\n| --- | --- | --- | --- |\n| Chile | 63 | 23 | 28 |\n| China | 80 | 20 | 66 |\n| Germany | 35 | 67 | 66 |\n| Greece | 60 | 35 | 57 |\n| India | 77 | 48 | 56 |","| Italy | 50 | 76 | 70 |\n| --- | --- | --- | --- |\n| Norway | 31 | 69 | 8 |\n| Pakistan | 55 | 14 | 50 |\n| Russia | 93 | 39 | 36 |\n| Spain | 57 | 51 | 42 |\n| UK | 35 | 89 | 66 |\n| USA | 40 | 91 | 62 |",1]
["| Country | PowerDist. | Individualism | Masculinity |\n| --- | --- | --- | --- |\n| Chile | 63 | 23 | 28 |\n| China | 80 | 20 | 66 |\n| Germany | 35 | 67 | 66 |\n| Greece | 60 | 35 | 57 |\n| India | 77 | 48 | 56 |","| Country | dataset | dataset |  |  |\n| --- | --- | --- | --- | --- |\n| - | ρ | p-value | ρ | p-value |\n| Argentina | 0.56 | 0.03 | 0.77 | 0.0007 |\n| Australia | 0.32 | 0.23 | 0.60 | 0.02 |\n| Brazil | 0.48 | 0.06 | 0.81 | 0.0002 |\n| Chile | 0.32 | 0.23 | 0.53 | 0.04 |\n| England | 0.87 | 0 | 0.70 | 0.004 |\n| France | 0.85 | 2e-06 | 0.61 | 0.01 |\n| Indonesia | 0.84 | 4e-05 | 0.75 | 0.001 |\n| Japan | 0.38 | 0.15 | 0.39 | 0.13 |\n| Korea | 0.68 | 0.004 | 0.45 | 0.08 |\n| Malaysia | -0.16 | 0.54 | 0.11 | 0.68 |\n| Mexico | 0.55 | 0.03 | 0.71 | 0.003 |\n| Russia | 0.78 | 0.0006 | 0.76 | 0.001 |\n| Singapore | 0.34 | 0.20 | 0.65 | 0.008 |\n| Spain | 0.78 | 0.0005 | 0.75 | 0.001 |\n| Turkey | -0.18 | 0.50 | -0.31 | 0.24 |\n| USA | 0.70 | 0.004 | 0.67 | 0.005 |",0]
["| Country | PowerDist. | Individualism | Masculinity |\n| --- | --- | --- | --- |\n| Chile | 63 | 23 | 28 |\n| China | 80 | 20 | 66 |\n| Germany | 35 | 67 | 66 |\n| Greece | 60 | 35 | 57 |\n| India | 77 | 48 | 56 |\n| Italy | 50 | 76 | 70 |\n| Norway | 31 | 69 | 8 |","| Pakistan | 55 | 14 | 50 |\n| --- | --- | --- | --- |\n| Russia | 93 | 39 | 36 |\n| Spain | 57 | 51 | 42 |\n| UK | 35 | 89 | 66 |\n| USA | 40 | 91 | 62 |",1]
["| Country | PowerDist. | Individualism | Masculinity |\n| --- | --- | --- | --- |\n| Chile | 63 | 23 | 28 |\n| China | 80 | 20 | 66 |\n| Germany | 35 | 67 | 66 |\n| Greece | 60 | 35 | 57 |\n| India | 77 | 48 | 56 |\n| Italy | 50 | 76 | 70 |\n| Norway | 31 | 69 | 8 |","| Korea | 0.68 | 0.004 | 0.45 | 0.08 |\n| --- | --- | --- | --- | --- |\n| Malaysia | -0.16 | 0.54 | 0.11 | 0.68 |\n| Mexico | 0.55 | 0.03 | 0.71 | 0.003 |\n| Russia | 0.78 | 0.0006 | 0.76 | 0.001 |\n| Singapore | 0.34 | 0.20 | 0.65 | 0.008 |\n| Spain | 0.78 | 0.0005 | 0.75 | 0.001 |\n| Turkey | -0.18 | 0.50 | -0.31 | 0.24 |\n| USA | 0.70 | 0.004 | 0.67 | 0.005 |",0]
["| method | PASCALVOC(val) | Stanford-40 |\n| --- | --- | --- |\n| noparts | 81.4 | 80.2 |\n| part+Nb | 82.0 | 81.2 |","| part+Np | 81.8 | 81.0 |\n| --- | --- | --- |\n| part+N+Nbp | 83.2 | 82.4 |\n| part+N+Nbp<br>(partselected) | 84.0 | 83.4 |",1]
["| method | PASCALVOC(val) | Stanford-40 |\n| --- | --- | --- |\n| noparts | 81.4 | 80.2 |\n| part+Nb | 82.0 | 81.2 |","| Method | PartA | PartB |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | MSE | MAE | MSE |  |\n| LBP+RR | 303.2 | 371.0 | 59.1 | 81.7 |\n| Zhangetal. | 181.8 | 277.7 | 32.0 | 49.8 |\n| MCNN | 110.2 | 173.2 | 26.4 | 41.3 |\n| Proposed | 79.1 | 130.1 | 17.8 | 26.0 |",0]
["| method | PASCALVOC(val) | Stanford-40 |\n| --- | --- | --- |\n| noparts | 81.4 | 80.2 |\n| part+Nb | 82.0 | 81.2 |","| part+Np | 81.8 | 81.0 |\n| --- | --- | --- |\n| part+N+Nbp | 83.2 | 82.4 |\n| part+N+Nbp<br>(partselected) | 84.0 | 83.4 |",1]
["| method | PASCALVOC(val) | Stanford-40 |\n| --- | --- | --- |\n| noparts | 81.4 | 80.2 |\n| part+Nb | 82.0 | 81.2 |","| LBP+RR | 303.2 | 371.0 | 59.1 | 81.7 |\n| --- | --- | --- | --- | --- |\n| Zhangetal. | 181.8 | 277.7 | 32.0 | 49.8 |\n| MCNN | 110.2 | 173.2 | 26.4 | 41.3 |\n| Proposed | 79.1 | 130.1 | 17.8 | 26.0 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |","| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| --- |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |","| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| --- |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |","| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| --- |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| Model<br>(trainingtime) | Redmond | Havel | ninjutsu | graﬃti |\n| --- | --- | --- | --- | --- |\n| Collobert(50d)<br>(2months) | conyers<br>lubbock<br>keene | plauen<br>dzerzhinsky<br>osterreich | reiki<br>kohona<br>karate | cheesecake<br>gossip<br>dioramas |","| Turian(200d)<br>(fewweeks) | McCarthy<br>Alston<br>Cousins | Jewell<br>Arzu<br>Ovitz | -<br>-<br>- | gunﬁre<br>emotion<br>impunity |\n| --- | --- | --- | --- | --- |\n| Mnih(100d)<br>(7days) | Podhurst<br>Harlang<br>Agarwal | Pontiﬀ<br>Pinochet<br>Rodionov | -<br>-<br>- | anaesthetics<br>monkeys<br>Jews |\n| Skip-Phrase<br>(1000d,1day) | RedmondWash.<br>RedmondWashington<br>Microsoft | VaclavHavel<br>presidentVaclavHavel<br>VelvetRevolution | ninja<br>martialarts<br>swordsmanship | spraypaint<br>graﬁtti<br>taggers |",1]
["| Model<br>(trainingtime) | Redmond | Havel | ninjutsu | graﬃti |\n| --- | --- | --- | --- | --- |\n| Collobert(50d)<br>(2months) | conyers<br>lubbock<br>keene | plauen<br>dzerzhinsky<br>osterreich | reiki<br>kohona<br>karate | cheesecake<br>gossip<br>dioramas |","| Model | FrequentWords | RareWords |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| man | including | relatively | unconditional | hydroplane | uploading |  |\n| word | person<br>anyone<br>children<br>men | like<br>featuring<br>include<br>includes | extremely<br>making<br>very<br>quite | nazi<br>fairly<br>joints<br>supreme | molybdenum<br>your<br>imperial<br>intervene | -<br>-<br>-<br>- |\n| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |\n| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",0]
["| Model<br>(trainingtime) | Redmond | Havel | ninjutsu | graﬃti |\n| --- | --- | --- | --- | --- |\n| Collobert(50d)<br>(2months) | conyers<br>lubbock<br>keene | plauen<br>dzerzhinsky<br>osterreich | reiki<br>kohona<br>karate | cheesecake<br>gossip<br>dioramas |","| Turian(200d)<br>(fewweeks) | McCarthy<br>Alston<br>Cousins | Jewell<br>Arzu<br>Ovitz | -<br>-<br>- | gunﬁre<br>emotion<br>impunity |\n| --- | --- | --- | --- | --- |\n| Mnih(100d)<br>(7days) | Podhurst<br>Harlang<br>Agarwal | Pontiﬀ<br>Pinochet<br>Rodionov | -<br>-<br>- | anaesthetics<br>monkeys<br>Jews |\n| Skip-Phrase<br>(1000d,1day) | RedmondWash.<br>RedmondWashington<br>Microsoft | VaclavHavel<br>presidentVaclavHavel<br>VelvetRevolution | ninja<br>martialarts<br>swordsmanship | spraypaint<br>graﬁtti<br>taggers |",1]
["| Model<br>(trainingtime) | Redmond | Havel | ninjutsu | graﬃti |\n| --- | --- | --- | --- | --- |\n| Collobert(50d)<br>(2months) | conyers<br>lubbock<br>keene | plauen<br>dzerzhinsky<br>osterreich | reiki<br>kohona<br>karate | cheesecake<br>gossip<br>dioramas |","| BPE<br>LSTM | ii<br>hill<br>text<br>netherlands | called<br>involve<br>like<br>creating | newly<br>never<br>essentially<br>least | unintentional<br>ungenerous<br>unanimous<br>unpalatable | emphasize<br>heartbeat<br>hybridized<br>unplatable | upbeat<br>uprising<br>handling<br>hand-colored |\n| --- | --- | --- | --- | --- | --- | --- |\n| char-<br>trigrams<br>LSTM | mak<br>vill<br>cow<br>maga | include<br>includes<br>undermining<br>under | resolutely<br>regeneratively<br>reproductively<br>commonly | unconstitutional<br>constitutional<br>unimolecular<br>medicinal | selenocysteine<br>guerrillas<br>scrofula<br>seleucia | drifted<br>aﬀected<br>conﬂicted<br>convicted |\n| char-<br>LSTM | mayr<br>many<br>mary<br>may | inclusion<br>insularity<br>includes<br>include | relates<br>replicate<br>relativity<br>gravestones | undamaged<br>unmyelinated<br>unconditionally<br>uncoordinated | hydrolyzed<br>hydraulics<br>hysterotomy<br>hydraulic | musag`ete<br>mutualism<br>mutualists<br>meursault |\n| char-<br>CNN | mtn<br>mann<br>jan<br>nun | include<br>includes<br>excluding<br>included | legislatively<br>lovely<br>creatively<br>negatively | unconventional<br>unintentional<br>unconstitutional<br>untraditional | hydroxyproline<br>hydrate<br>hydrangea<br>hyena | unloading<br>loading<br>upgrading<br>upholding |",0]
["| Training | Posts | 217,905 |\n| --- | --- | --- |\n| Responses | Angry | 234,635 |\n| Disgust | 689,295 |  |\n| Happy | 306,364 |  |\n| Like | 1,226,954 |  |\n| Sad | 537,028 |  |\n| Other | 1,365,371 |  |","| Validation | Posts | 1,000 |\n| --- | --- | --- |\n| Test | Posts | 1,000 |",1]
["| Training | Posts | 217,905 |\n| --- | --- | --- |\n| Responses | Angry | 234,635 |\n| Disgust | 689,295 |  |\n| Happy | 306,364 |  |\n| Like | 1,226,954 |  |\n| Sad | 537,028 |  |\n| Other | 1,365,371 |  |","|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |\n| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["| Training | Posts | 217,905 |\n| --- | --- | --- |\n| Responses | Angry | 234,635 |\n| Disgust | 689,295 |  |\n| Happy | 306,364 |  |\n| Like | 1,226,954 |  |","| Sad | 537,028 |  |\n| --- | --- | --- |\n| Other | 1,365,371 |  |\n| Validation | Posts | 1,000 |\n| Test | Posts | 1,000 |",1]
["| Training | Posts | 217,905 |\n| --- | --- | --- |\n| Responses | Angry | 234,635 |\n| Disgust | 689,295 |  |\n| Happy | 306,364 |  |\n| Like | 1,226,954 |  |","| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| --- | --- | --- | --- | --- |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |\n| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["| Method | TimeComplexity |\n| --- | --- |\n| GAFS | O(tmdn+tlmd) |\n| LapScore | O(dn) |","| SPEC | O(rn+dn) |\n| --- | --- |\n| MRSF | O(mn+dn) |\n| UDFS | O(n+td) |\n| RSR | O(tdn+td) |",1]
["| Method | TimeComplexity |\n| --- | --- |\n| GAFS | O(tmdn+tlmd) |\n| LapScore | O(dn) |","| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |\n| --- | --- | --- | --- |\n| LU.E | 128×4 | 70.8 | 350 |\n| LU.E | 64×8 | 136.6 | 356 |\n| LU.E | 32×16 | 222.6 | 355 |\n| LU.E | 128×16 | 70.2 | 117 |",0]
["| Method | TimeComplexity |\n| --- | --- |\n| GAFS | O(tmdn+tlmd) |\n| LapScore | O(dn) |","| SPEC | O(rn+dn) |\n| --- | --- |\n| MRSF | O(mn+dn) |\n| UDFS | O(n+td) |\n| RSR | O(tdn+td) |",1]
["| Method | TimeComplexity |\n| --- | --- |\n| GAFS | O(tmdn+tlmd) |\n| LapScore | O(dn) |","| LU.E | 64×8 | 136.6 | 356 |\n| --- | --- | --- | --- |\n| LU.E | 32×16 | 222.6 | 355 |\n| LU.E | 128×16 | 70.2 | 117 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Feature | Importance |\n| --- | --- |\n| displayid-events-geolocation-0T.norm | 0.117 |\n| displayid-events-geolocation-0T | 0.114 |\n| displayid-events-geolocation-1T | 0.114 |","| main-adid | 0.030 |\n| --- | --- |\n| displayid-events-documentid | 0.017 |",1]
["| Feature | Importance |\n| --- | --- |\n| displayid-events-geolocation-0T.norm | 0.117 |\n| displayid-events-geolocation-0T | 0.114 |\n| displayid-events-geolocation-1T | 0.114 |","| Event | FiringRate(perhour) |\n| --- | --- |\n| Text | 557.8 |\n| App | 23.2 |\n| Web | 5.6 |\n| Location | 3.5 |",0]
["| Feature | Importance |\n| --- | --- |\n| displayid-events-geolocation-0T.norm | 0.117 |\n| displayid-events-geolocation-0T | 0.114 |\n| displayid-events-geolocation-1T | 0.114 |","| main-adid | 0.030 |\n| --- | --- |\n| displayid-events-documentid | 0.017 |",1]
["| Feature | Importance |\n| --- | --- |\n| displayid-events-geolocation-0T.norm | 0.117 |\n| displayid-events-geolocation-0T | 0.114 |\n| displayid-events-geolocation-1T | 0.114 |","| App | 23.2 |\n| --- | --- |\n| Web | 5.6 |\n| Location | 3.5 |",0]
["| Year | NDCG@20 | NDCG@100 | NDCG@150 |\n| --- | --- | --- | --- |\n| 2015 | 0.7761 | 0.7587 | 0.7675 |","| 2014 | 0.8777 | 0.7911 | 0.7978 |\n| --- | --- | --- | --- |\n| 2013 | 0.8432 | 0.7766 | 0.7894 |\n| Avg | 0.8323 | 0.7755 | 0.7849 |",1]
["| Year | NDCG@20 | NDCG@100 | NDCG@150 |\n| --- | --- | --- | --- |\n| 2015 | 0.7761 | 0.7587 | 0.7675 |","| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["| Year | NDCG@20 | NDCG@100 | NDCG@150 |\n| --- | --- | --- | --- |\n| 2015 | 0.7761 | 0.7587 | 0.7675 |\n| 2014 | 0.8777 | 0.7911 | 0.7978 |","| 2013 | 0.8432 | 0.7766 | 0.7894 |\n| --- | --- | --- | --- |\n| Avg | 0.8323 | 0.7755 | 0.7849 |",1]
["| Year | NDCG@20 | NDCG@100 | NDCG@150 |\n| --- | --- | --- | --- |\n| 2015 | 0.7761 | 0.7587 | 0.7675 |\n| 2014 | 0.8777 | 0.7911 | 0.7978 |","| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["| Models | devset | testset |\n| --- | --- | --- |\n| CosineWord2Vec | 46.4 | 45.63 |","| CosineTFIDF | 47.6 | 47.36 |\n| --- | --- | --- |\n| SSCBTFIDF | 48.5 | - |\n| CompareAggregate | 72.1 | 72.9 |\n| QACNN | 77.6 | 75.84 |\n| ConvnetFusion | - | 77.63 |\n| QACNN(ensemble) | 79.0 | 79.99 |",1]
["| Models | devset | testset |\n| --- | --- | --- |\n| CosineWord2Vec | 46.4 | 45.63 |","| Models | devset | testset |\n| --- | --- | --- |\n| OnestageQACNN | 66.8 | - |\n| QACNN(noattention) | 69.6 | - |\n| QACNN(onlyword-levelattention) | 72.5 | - |\n| QACNN(onlysentence-levelattention) | 75.1 | - |\n| QACNN(single) | 77.6 | 75.84 |\n| QACNN(ensemble) | 79.0 | 79.99 |",0]
["| Models | devset | testset |\n| --- | --- | --- |\n| CosineWord2Vec | 46.4 | 45.63 |\n| CosineTFIDF | 47.6 | 47.36 |\n| SSCBTFIDF | 48.5 | - |\n| CompareAggregate | 72.1 | 72.9 |\n| QACNN | 77.6 | 75.84 |","| ConvnetFusion | - | 77.63 |\n| --- | --- | --- |\n| QACNN(ensemble) | 79.0 | 79.99 |",1]
["| Models | devset | testset |\n| --- | --- | --- |\n| CosineWord2Vec | 46.4 | 45.63 |\n| CosineTFIDF | 47.6 | 47.36 |\n| SSCBTFIDF | 48.5 | - |\n| CompareAggregate | 72.1 | 72.9 |\n| QACNN | 77.6 | 75.84 |","| QACNN(onlysentence-levelattention) | 75.1 | - |\n| --- | --- | --- |\n| QACNN(single) | 77.6 | 75.84 |\n| QACNN(ensemble) | 79.0 | 79.99 |",0]
["| Timestep | Analogdata | Quantizeddata<br>M=5 | Quantizeddata<br>M=2 |\n| --- | --- | --- | --- |\n| t=1MI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=1FI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=3MI | Sensor8 | Sensor8 | Sensor2,7,14 |","| t=3FI | Sensor8 | Sensor8 | Sensor2,7,9 |\n| --- | --- | --- | --- |\n| t=8MI | Sensor16 | Sensor16 | Sensor10,16,21 |\n| t=8FI | Sensor15 | Sensor15 | Sensor10,16 |",1]
["| Timestep | Analogdata | Quantizeddata<br>M=5 | Quantizeddata<br>M=2 |\n| --- | --- | --- | --- |\n| t=1MI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=1FI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=3MI | Sensor8 | Sensor8 | Sensor2,7,14 |","| Basis | db4 | db10 | coif1 | coif4 | coif5 | sym4 | sym10 | bior2.2 | bior2.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=0.5se | 9.837 | 9.583 | 8.340 | 9.346 | 9.563 | 8.894 | 9.088 | 8.658 | 8.5910 |\n| T=1se | 8.9912 | 8.9888 | 7.6042 | 8.383 | 8.7456 | 7.5807 | 8.1286 | 7.9584 | 7.7010 |\n| T=2se | 7.8232 | 7.3634 | 6.8023 | 7.8996 | 7.7596 | 6.097 | 7.2485 | 6.922 | 6.7302 |\n| T=5se | 8.087 | 7.951 | 8.957 | 8.239 | 8.509 | 7.761 | 7.855 | 8.403 | 8.009 |\n| T=10se | 8.9017 | 8.9301 | 7.8784 | 8.4588 | 8.6935 | 7.9610 | 8.2871 | 7.9732 | 7.9401 |",0]
["| Timestep | Analogdata | Quantizeddata<br>M=5 | Quantizeddata<br>M=2 |\n| --- | --- | --- | --- |\n| t=1MI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=1FI | Sensor2,7 | Sensor2,7 | Sensor2,7 |","| t=3MI | Sensor8 | Sensor8 | Sensor2,7,14 |\n| --- | --- | --- | --- |\n| t=3FI | Sensor8 | Sensor8 | Sensor2,7,9 |\n| t=8MI | Sensor16 | Sensor16 | Sensor10,16,21 |\n| t=8FI | Sensor15 | Sensor15 | Sensor10,16 |",1]
["| Timestep | Analogdata | Quantizeddata<br>M=5 | Quantizeddata<br>M=2 |\n| --- | --- | --- | --- |\n| t=1MI | Sensor2,7 | Sensor2,7 | Sensor2,7 |\n| t=1FI | Sensor2,7 | Sensor2,7 | Sensor2,7 |","| T=1se | 8.9912 | 8.9888 | 7.6042 | 8.383 | 8.7456 | 7.5807 | 8.1286 | 7.9584 | 7.7010 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=2se | 7.8232 | 7.3634 | 6.8023 | 7.8996 | 7.7596 | 6.097 | 7.2485 | 6.922 | 6.7302 |\n| T=5se | 8.087 | 7.951 | 8.957 | 8.239 | 8.509 | 7.761 | 7.855 | 8.403 | 8.009 |\n| T=10se | 8.9017 | 8.9301 | 7.8784 | 8.4588 | 8.6935 | 7.9610 | 8.2871 | 7.9732 | 7.9401 |",0]
["| GrowsU | rowweights |\n| --- | --- |\n| [11110000] | 4 |\n| [11001100] | 4 |","| [10101010] | 4 |\n| --- | --- |\n| [11111111] | 8 |",1]
["| GrowsU | rowweights |\n| --- | --- |\n| [11110000] | 4 |\n| [11001100] | 4 |","| n | SizeofAn | n | SizeofAn |\n| --- | --- | --- | --- |\n| 0 | 16 | 8 | 3463008 |\n| 1 | 240 | 9 | 2835240 |\n| 2 | 1840 | 10 | 1337520 |\n| 3 | 17776 | 11 | 855576 |\n| 4 | 74952 | 12 | 170592 |\n| 5 | 223992 | 13 | 72216 |\n| 6 | 360540 | 14 | 42456 |\n| 7 | 1110864 | 15 | 23424 |",0]
["| GrowsU | rowweights |\n| --- | --- |\n| [11110000] | 4 |","| [11001100] | 4 |\n| --- | --- |\n| [10101010] | 4 |\n| [11111111] | 8 |",1]
["| GrowsU | rowweights |\n| --- | --- |\n| [11110000] | 4 |","| 3 | 17776 | 11 | 855576 |\n| --- | --- | --- | --- |\n| 4 | 74952 | 12 | 170592 |\n| 5 | 223992 | 13 | 72216 |\n| 6 | 360540 | 14 | 42456 |\n| 7 | 1110864 | 15 | 23424 |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.3279±0.1596 | 0.2145 | 211 | - |","| GKKM | 0.3269±0.1594 | 0.6759 | 7 | 0.9220 |\n| --- | --- | --- | --- | --- |\n| M=5,µ=0.2500,σ=0.04500 |  |  |  |  |\n| CCBS<br>GCBS | 0.3427±0.1751<br>0.3446±0.1767 | 0.0606<br>0.0209 | 6<br>6 | 0.2461<br>0.2439 |\n| M=10,µ=0.1111,σ=0.02010 |  |  |  |  |\n| CCBS<br>GCBS | 0.3361±0.1686<br>0.3428±0.1745 | 0.0671<br>0.0142 | 12<br>9 | 0.1101<br>0.0840 |\n| M=20,µ=0.0526,σ=0.01040 |  |  |  |  |\n| CCBS<br>GCBS | 0.3327±0.1647<br>0.3361±0.1680 | 0.3483<br>0.0106 | 21<br>19 | 0.0514<br>0.0518 |\n| M=30,µ=0.0345,σ=0.00710 |  |  |  |  |\n| CCBS<br>GCBS | 0.3318±0.1637<br>0.3354±0.1669 | 3.6450<br>0.0132 | 28<br>23 | 0.0331<br>0.0336 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.3279±0.1596 | 0.2145 | 211 | - |","| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.0442±0.0011 | 0.2499 | 211 | - |\n| GKKM | 0.1883±0.0317 | 1.8460 | 14 | 0.7969 |\n| M=5,µ=0.2500,σ=0.10340 |  |  |  |  |\n| CCBS<br>GCBS | 0.2045±0.0375<br>0.2441±0.0500 | 0.1001<br>0.0374 | 7<br>5 | 0.2490<br>0.2097 |\n| M=10,µ=0.1111,σ=0.05240 |  |  |  |  |\n| CCBS<br>GCBS | 0.1430±0.0192<br>0.1505±0.0209 | 0.0702<br>0.0191 | 14<br>13 | 0.1079<br>0.1078 |\n| M=20,µ=0.0526,σ=0.02730 |  |  |  |  |\n| CCBS<br>GCBS | 0.0907±0.0069<br>0.0941±0.0081 | 0.2874<br>0.0245 | 24<br>21 | 0.0517<br>0.0492 |\n| M=30,µ=0.0345,σ=0.01820 |  |  |  |  |\n| CCBS<br>GCBS | 0.0705±0.0035<br>0.0674±0.0034 | 0.6403<br>0.0162 | 34<br>32 | 0.0339<br>0.0331 |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.3279±0.1596 | 0.2145 | 211 | - |\n| GKKM | 0.3269±0.1594 | 0.6759 | 7 | 0.9220 |\n| M=5,µ=0.2500,σ=0.04500 |  |  |  |  |\n| CCBS<br>GCBS | 0.3427±0.1751<br>0.3446±0.1767 | 0.0606<br>0.0209 | 6<br>6 | 0.2461<br>0.2439 |\n| M=10,µ=0.1111,σ=0.02010 |  |  |  |  |\n| CCBS<br>GCBS | 0.3361±0.1686<br>0.3428±0.1745 | 0.0671<br>0.0142 | 12<br>9 | 0.1101<br>0.0840 |","| M=20,µ=0.0526,σ=0.01040 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.3327±0.1647<br>0.3361±0.1680 | 0.3483<br>0.0106 | 21<br>19 | 0.0514<br>0.0518 |\n| M=30,µ=0.0345,σ=0.00710 |  |  |  |  |\n| CCBS<br>GCBS | 0.3318±0.1637<br>0.3354±0.1669 | 3.6450<br>0.0132 | 28<br>23 | 0.0331<br>0.0336 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.3279±0.1596 | 0.2145 | 211 | - |\n| GKKM | 0.3269±0.1594 | 0.6759 | 7 | 0.9220 |\n| M=5,µ=0.2500,σ=0.04500 |  |  |  |  |\n| CCBS<br>GCBS | 0.3427±0.1751<br>0.3446±0.1767 | 0.0606<br>0.0209 | 6<br>6 | 0.2461<br>0.2439 |\n| M=10,µ=0.1111,σ=0.02010 |  |  |  |  |\n| CCBS<br>GCBS | 0.3361±0.1686<br>0.3428±0.1745 | 0.0671<br>0.0142 | 12<br>9 | 0.1101<br>0.0840 |","| M=10,µ=0.1111,σ=0.05240 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.1430±0.0192<br>0.1505±0.0209 | 0.0702<br>0.0191 | 14<br>13 | 0.1079<br>0.1078 |\n| M=20,µ=0.0526,σ=0.02730 |  |  |  |  |\n| CCBS<br>GCBS | 0.0907±0.0069<br>0.0941±0.0081 | 0.2874<br>0.0245 | 24<br>21 | 0.0517<br>0.0492 |\n| M=30,µ=0.0345,σ=0.01820 |  |  |  |  |\n| CCBS<br>GCBS | 0.0705±0.0035<br>0.0674±0.0034 | 0.6403<br>0.0162 | 34<br>32 | 0.0339<br>0.0331 |",0]
["| Method | Lena |\n| --- | --- |\n| Bilinear | 30.13 |\n| Bicubic | 31.34 |","| NEDI | 34.10 |\n| --- | --- |\n| WZP-Haar | 31.46 |\n| WZP-Db.9/7 | 34.45 |\n| Careyetal. | 34.48 |\n| HMM | 34.52 |\n| HMM-SR | 34.61 |\n| WZP-CS | 34.93 |\n| SAI | 34.74 |\n| Iterative(2iter.) | 35.25 |\n| Iterative(10iter.) | 37.39 |\n| Hybrid(2iter.and1mod.) | 37.12 |\n| Opt.Hybrid(2iter.and1mod.) | 37.41 |",1]
["| Method | Lena |\n| --- | --- |\n| Bilinear | 30.13 |\n| Bicubic | 31.34 |","| Methods | Accuracy |  |  |\n| --- | --- | --- | --- |\n|  | 1/3 | 2/3 | cross |\n| HOJ3D | 0.962 | 0.971 | 0.789 |\n| HMM+DBM | - | - | 0.820 |\n| EigenJoints | 0.958 | 0.977 | 0.823 |\n| HMM+GMM(ourimplementation) | 0.861 | 0.929 | 0.825 |\n| ActionletEnsemble(skeletondata) | - | - | 0.882 |\n| SkeletalQuads | - | - | 0.898 |\n| LDS | - | - | 0.900 |\n| Cov3DJ | - | - | 0.905 |\n| Our | 0.943 | 0.983 | 0.905 |\n| FSFJ3D | - | - | 0.909 |\n| KPLS | - | - | 0.923 |",0]
["| Method | Lena |\n| --- | --- |\n| Bilinear | 30.13 |\n| Bicubic | 31.34 |\n| NEDI | 34.10 |\n| WZP-Haar | 31.46 |\n| WZP-Db.9/7 | 34.45 |\n| Careyetal. | 34.48 |\n| HMM | 34.52 |\n| HMM-SR | 34.61 |\n| WZP-CS | 34.93 |\n| SAI | 34.74 |","| Iterative(2iter.) | 35.25 |\n| --- | --- |\n| Iterative(10iter.) | 37.39 |\n| Hybrid(2iter.and1mod.) | 37.12 |\n| Opt.Hybrid(2iter.and1mod.) | 37.41 |",1]
["| Method | Lena |\n| --- | --- |\n| Bilinear | 30.13 |\n| Bicubic | 31.34 |\n| NEDI | 34.10 |\n| WZP-Haar | 31.46 |\n| WZP-Db.9/7 | 34.45 |\n| Careyetal. | 34.48 |\n| HMM | 34.52 |\n| HMM-SR | 34.61 |\n| WZP-CS | 34.93 |\n| SAI | 34.74 |","| FSFJ3D | - | - | 0.909 |\n| --- | --- | --- | --- |\n| KPLS | - | - | 0.923 |",0]
["| V | H | E | Train,Val,Test | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 114 | 9k,1k,10k | 0.9744,0.9952,0.9956 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.6370,0.5003,0.4996 |","| 100 | 128 | 82 | 135k,15k,10k | 0.9882,0.9907,0.9906 |\n| --- | --- | --- | --- | --- |\n| 100 | 256 | 62 | 135k,15k,10k | 0.9886,0.9965,0.9969 |\n| 1000 | 256 | 127 | 135k,15k,10k | 0.9069,0.7958,0.7971 |",1]
["| V | H | E | Train,Val,Test | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 114 | 9k,1k,10k | 0.9744,0.9952,0.9956 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.6370,0.5003,0.4996 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 180 | 9k,1k,10k | 0.9635,0.9172,0.9150 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.7392,0.5472,0.5488 |\n| 100 | 128 | 61 | 135k,15k,10k | 0.9927,0.9911,0.9912 |\n| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["| V | H | E | Train,Val,Test | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 114 | 9k,1k,10k | 0.9744,0.9952,0.9956 |","| 100 | 128 | 200 | 9k,1k,10k | 0.6370,0.5003,0.4996 |\n| --- | --- | --- | --- | --- |\n| 100 | 128 | 82 | 135k,15k,10k | 0.9882,0.9907,0.9906 |\n| 100 | 256 | 62 | 135k,15k,10k | 0.9886,0.9965,0.9969 |\n| 1000 | 256 | 127 | 135k,15k,10k | 0.9069,0.7958,0.7971 |",1]
["| V | H | E | Train,Val,Test | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 114 | 9k,1k,10k | 0.9744,0.9952,0.9956 |","| 100 | 256 | 40 | 135k,15k,10k | 0.9974,0.9997,0.9975 |\n| --- | --- | --- | --- | --- |\n| 1000 | 256 | 75 | 135k,15k,10k | 0.9868,0.9884,0.9885 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| \\|A\\| | \\|T\\| | \\|S\\| | DSA | ICG-Max-Sum |\n| --- | --- | --- | --- | --- |\n| AcyclicGraphs |  |  |  |  |","| 20 | 40 | 25 | 5973.65 | 355.49 |\n| --- | --- | --- | --- | --- |\n| 20 | 40 | 50 | 2567.29 | 446.51 |\n| 100 | 200 | 25 | 23339.31 | 475.67 |\n| 100 | 200 | 50 | 17528.18 | 965.22 |\n| CyclicGraphs |  |  |  |  |\n| 5 | 10 | 25 | 797.83 | 48.91 |\n| 5 | 10 | 50 | 848.94 | 926.02 |\n| 7 | 14 | 25 | 2093.86 | 1247.07 |\n| 7 | 14 | 50 | 1646.29 | 1651.56 |",1]
["| \\|A\\| | \\|T\\| | \\|S\\| | DSA | ICG-Max-Sum |\n| --- | --- | --- | --- | --- |\n| AcyclicGraphs |  |  |  |  |","| Graph | n | LB1 | LB2 | Opt |\n| --- | --- | --- | --- | --- |\n| TinaDiscal | 11 | 0.31 | 0.86 | 12 |\n| jg1009 | 9 | 1.55 | 1.72 | 16 |\n| jg1011 | 11 | 1.48 | 0.94 | 24 |\n| Stranke94 | 10 | 1.76 | 1.77 | 24 |\n| Hamrle1 | 32 | -1.93 | 1.12 | 17 |\n| 4x5t | 20 | -21.71 | 5.43 | 28 |\n| 8x5t | 40 | -16.16 | 2.91 | 33 |\n| t050 | 30 | 0.90 | 18.54 | 397 |\n| 2x17m | 34 | 1.33 | 1.27 | 316 |\n| s090 | 60 | -9.84 | 13.10 | 238 |",0]
["| \\|A\\| | \\|T\\| | \\|S\\| | DSA | ICG-Max-Sum |\n| --- | --- | --- | --- | --- |\n| AcyclicGraphs |  |  |  |  |","| 20 | 40 | 25 | 5973.65 | 355.49 |\n| --- | --- | --- | --- | --- |\n| 20 | 40 | 50 | 2567.29 | 446.51 |\n| 100 | 200 | 25 | 23339.31 | 475.67 |\n| 100 | 200 | 50 | 17528.18 | 965.22 |\n| CyclicGraphs |  |  |  |  |\n| 5 | 10 | 25 | 797.83 | 48.91 |\n| 5 | 10 | 50 | 848.94 | 926.02 |\n| 7 | 14 | 25 | 2093.86 | 1247.07 |\n| 7 | 14 | 50 | 1646.29 | 1651.56 |",1]
["| \\|A\\| | \\|T\\| | \\|S\\| | DSA | ICG-Max-Sum |\n| --- | --- | --- | --- | --- |\n| AcyclicGraphs |  |  |  |  |","| t050 | 30 | 0.90 | 18.54 | 397 |\n| --- | --- | --- | --- | --- |\n| 2x17m | 34 | 1.33 | 1.27 | 316 |\n| s090 | 60 | -9.84 | 13.10 | 238 |",0]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| Bahdanauetal. | 28.45 |\n| BaselineSystem | 33.30 |\n| SingleforwardLSTM,beamsize12 | 26.17 |","| SinglereversedLSTM,beamsize12 | 30.59 |\n| --- | --- |\n| Ensembleof5reversedLSTMs,beamsize1 | 33.00 |\n| Ensembleof2reversedLSTMs,beamsize12 | 33.27 |\n| Ensembleof5reversedLSTMs,beamsize2 | 34.50 |\n| Ensembleof5reversedLSTMs,beamsize12 | 34.81 |",1]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| Bahdanauetal. | 28.45 |\n| BaselineSystem | 33.30 |\n| SingleforwardLSTM,beamsize12 | 26.17 |","| Methods | Depth |\n| --- | --- |\n| HOG | 32.24 |\n| SuperNormalVector | 31.82 |\n| HON4D | 30.56 |\n| LieGroup | 50.08 |\n| SkeletalQuads | 38.62 |\n| FTPDynamicSkeletons | 60.23 |\n| HBRNN-L | 59.07 |\n| 2LayerP-LSTM | 62.93 |\n| ShuﬄeandLearn | 47.5 |\n| Ourmethod(Unsupervisedtraining) | 66.2 |",0]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| Bahdanauetal. | 28.45 |\n| BaselineSystem | 33.30 |\n| SingleforwardLSTM,beamsize12 | 26.17 |\n| SinglereversedLSTM,beamsize12 | 30.59 |\n| Ensembleof5reversedLSTMs,beamsize1 | 33.00 |\n| Ensembleof2reversedLSTMs,beamsize12 | 33.27 |","| Ensembleof5reversedLSTMs,beamsize2 | 34.50 |\n| --- | --- |\n| Ensembleof5reversedLSTMs,beamsize12 | 34.81 |",1]
["| Method | testBLEUscore(ntst14) |\n| --- | --- |\n| Bahdanauetal. | 28.45 |\n| BaselineSystem | 33.30 |\n| SingleforwardLSTM,beamsize12 | 26.17 |\n| SinglereversedLSTM,beamsize12 | 30.59 |\n| Ensembleof5reversedLSTMs,beamsize1 | 33.00 |\n| Ensembleof2reversedLSTMs,beamsize12 | 33.27 |","| HON4D | 30.56 |\n| --- | --- |\n| LieGroup | 50.08 |\n| SkeletalQuads | 38.62 |\n| FTPDynamicSkeletons | 60.23 |\n| HBRNN-L | 59.07 |\n| 2LayerP-LSTM | 62.93 |\n| ShuﬄeandLearn | 47.5 |\n| Ourmethod(Unsupervisedtraining) | 66.2 |",0]
["| EvolutionaryNetwork |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |","| 32×32∼10 | 3 | 6 | 8 | 11 | 13 |\n| --- | --- | --- | --- | --- | --- |\n| 100×100∼10 | 3 | 6 | 9 | 11 | 14 |\n| 320×320∼10 | 3 | 6 | 9 | 11 | 14 |\n| 1000×1000∼10 | 3 | 6 | 9 | 11 | 14 |",1]
["| EvolutionaryNetwork |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |","| Fixednetworks<br>−1−5<br>Conﬁgurationofevolutionarynetworkwhenitreaches:(i)b<10,(ii)b<10. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |\n| 32×32(i) | 2 | 5 | 8 | 12 | 16 |\n| 320×320(i) | 2 | 5 | 9 | 13 | 17 |\n| 32×32(ii) | 2 | 4 | 7 | 9 | 12 |\n| 320×320(ii) | 2 | 5 | 7 | 10 | 12 |",0]
["| EvolutionaryNetwork |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |","| 32×32∼10 | 3 | 6 | 8 | 11 | 13 |\n| --- | --- | --- | --- | --- | --- |\n| 100×100∼10 | 3 | 6 | 9 | 11 | 14 |\n| 320×320∼10 | 3 | 6 | 9 | 11 | 14 |\n| 1000×1000∼10 | 3 | 6 | 9 | 11 | 14 |",1]
["| EvolutionaryNetwork |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| m×n | b<10 | b<10 | b<10 | b<10 | b<10 |","| 320×320(i) | 2 | 5 | 9 | 13 | 17 |\n| --- | --- | --- | --- | --- | --- |\n| 32×32(ii) | 2 | 4 | 7 | 9 | 12 |\n| 320×320(ii) | 2 | 5 | 7 | 10 | 12 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |","| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| --- |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |","| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| --- |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |","| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| --- |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |","| Jungles | 12.28 | 7.43 |\n| --- | --- | --- |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",1]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |","| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |\n| FreshWater | 12.36 | 8.11 |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |\n| Jungles | 12.28 | 7.43 |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",0]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |","| FreshWater | 12.36 | 8.11 |\n| --- | --- | --- |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |\n| Jungles | 12.28 | 7.43 |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",1]
["| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking |\n| --- | --- | --- |\n| FromPoletoPole | 8.23 | 4.10 |\n| Mountains | 12.08 | 7.94 |","| FreshWater | 12.36 | 8.11 |\n| --- | --- | --- |\n| Caves | 9.98 | 8.76 |\n| Deserts | 13.90 | 9.35 |\n| IceWorlds | 6.62 | 4.33 |\n| GreatPlains | 10.92 | 9.63 |\n| Jungles | 12.28 | 7.43 |\n| ShallowSeas | 10.91 | 6.22 |\n| SeasonalForests | 9.47 | 4.82 |\n| OceanDeep | 10.73 | 5.75 |\n| Average | 10.68 | 6.95 |",0]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 6.07K | 5.75 | 4.42 | 3.57 |","| MCCo | 5.21 | 6.38 | 6.00 | 3.75 |\n| --- | --- | --- | --- | --- |\n| MCCf | 4.32 | 6.00 | 6.15 | 2.68 |\n| MCCe | 4.25 | 6.78 | 6.72 | 3.20 |\n| MCCco | 3.85 | 5.35 | 3.78 | 2.38 |\n| MCCcf | 4.00 | 5.71 | 5.63 | 2.39 |\n| MCCce | 4.24 | 6.46 | 6.74 | 3.07 |",1]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 6.07K | 5.75 | 4.42 | 3.57 |","| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 20.1K | 11.6 | 12.6 | 9.75 |\n| MCCo | 13.2 | 10.4 | 12.4 | 5.71 |\n| MCCf | 11.8 | 9.21 | 9.78 | 5.25 |\n| MCCe | 11.9 | 8.28 | 8.71 | 5.71 |\n| MCCco | 12.9 | 10.9 | 11.92 | 5.92 |\n| MCCcf | 13.1 | 10.03 | 11.92 | 5.57 |\n| MCCce | 13.4 | 10.85 | 13.57 | 7.64 |",0]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 6.07K | 5.75 | 4.42 | 3.57 |\n| MCCo | 5.21 | 6.38 | 6.00 | 3.75 |\n| MCCf | 4.32 | 6.00 | 6.15 | 2.68 |\n| MCCe | 4.25 | 6.78 | 6.72 | 3.20 |\n| MCCco | 3.85 | 5.35 | 3.78 | 2.38 |","| MCCcf | 4.00 | 5.71 | 5.63 | 2.39 |\n| --- | --- | --- | --- | --- |\n| MCCce | 4.24 | 6.46 | 6.74 | 3.07 |",1]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 6.07K | 5.75 | 4.42 | 3.57 |\n| MCCo | 5.21 | 6.38 | 6.00 | 3.75 |\n| MCCf | 4.32 | 6.00 | 6.15 | 2.68 |\n| MCCe | 4.25 | 6.78 | 6.72 | 3.20 |\n| MCCco | 3.85 | 5.35 | 3.78 | 2.38 |","| MCCo | 13.2 | 10.4 | 12.4 | 5.71 |\n| --- | --- | --- | --- | --- |\n| MCCf | 11.8 | 9.21 | 9.78 | 5.25 |\n| MCCe | 11.9 | 8.28 | 8.71 | 5.71 |\n| MCCco | 12.9 | 10.9 | 11.92 | 5.92 |\n| MCCcf | 13.1 | 10.03 | 11.92 | 5.57 |\n| MCCce | 13.4 | 10.85 | 13.57 | 7.64 |",0]
["| Layer<br>(h) | Input<br>Size | Window<br>Size(l) | Filters<br>(f) | Pool<br>Size(p) |\n| --- | --- | --- | --- | --- |\n| 1 | 150×70 | 7 | 256 | 3 |\n| 2 | 42×256 | 7 | 256 | 3 |","| 3 | 14×256 | 3 | 256 | N/A |\n| --- | --- | --- | --- | --- |\n| 4 | 12×256 | 3 | 256 | N/A |\n| 5 | 10×256 | 3 | 256 | N/A |",1]
["| Layer<br>(h) | Input<br>Size | Window<br>Size(l) | Filters<br>(f) | Pool<br>Size(p) |\n| --- | --- | --- | --- | --- |\n| 1 | 150×70 | 7 | 256 | 3 |\n| 2 | 42×256 | 7 | 256 | 3 |","| Layer | Input/FilterDimensions |  |\n| --- | --- | --- |\n| Input | 512×512×1 | 512×512×1 |\n| Conv1<br>MaxPooling | 8×7×7<br>2×2 | 8×7×7<br>2×2 |\n| Conv2<br>MaxPooling | 16×5×5<br>2×2 | 16×5×5<br>2×2 |\n| Conv3<br>MaxPooling | 64×3×3<br>2×2 |  |\n| Conv4<br>MaxPooling | 64×3×3<br>2×2 |  |\n| FC1 | 2048 |  |\n| FC2 | 1024 |  |",0]
["| Layer<br>(h) | Input<br>Size | Window<br>Size(l) | Filters<br>(f) | Pool<br>Size(p) |\n| --- | --- | --- | --- | --- |\n| 1 | 150×70 | 7 | 256 | 3 |\n| 2 | 42×256 | 7 | 256 | 3 |","| 3 | 14×256 | 3 | 256 | N/A |\n| --- | --- | --- | --- | --- |\n| 4 | 12×256 | 3 | 256 | N/A |\n| 5 | 10×256 | 3 | 256 | N/A |",1]
["| Layer<br>(h) | Input<br>Size | Window<br>Size(l) | Filters<br>(f) | Pool<br>Size(p) |\n| --- | --- | --- | --- | --- |\n| 1 | 150×70 | 7 | 256 | 3 |\n| 2 | 42×256 | 7 | 256 | 3 |","| Conv4<br>MaxPooling | 64×3×3<br>2×2 |\n| --- | --- |\n| FC1 | 2048 |\n| FC2 | 1024 |",0]
["| Action | (MV,MDR) | ValuesofAUandotherderivedfeatures(MV,MR) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | BMCG | BMC | Head | Hand | Leg | SA | MD |","| Stand | (0,–) | (0,X) | (0,X) | (0,X) | (0,X) | – | (-1,0,1) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Wave | (0,–) | (1,MID) | (0,UP) | (2,UP/MID) | (0,LL) | – | (-1,0,1) |\n| Punch | (0,–) | (1,MID) | (1,UP) | (2,UP/MID) | (0,LL) | (0-30) | (-1,0,1) |\n| Kick | (0,–) | (1,MID) | (1,UP) | (1,MID) | (0,LL/MID | (0-130) | (-1,0,1) |\n| Jump | (2,Y/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | – | (-1,0,1) |\n| Run | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-90) | (-1,0,1) |\n| Walk | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-60) | (-1,0,1) |\n| Turnback | (1,X/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | (0-30) | (-1,0,1) |",1]
["| Action | (MV,MDR) | ValuesofAUandotherderivedfeatures(MV,MR) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | BMCG | BMC | Head | Hand | Leg | SA | MD |","| Action | Possibleoﬀsets |\n| --- | --- |\n| ﬁnish | (0,0) |\n| left | (-1,0),(-1,-1),(-1,1) |\n| right | (1,0),(1,-1),(1,1) |\n| up | (0,1),(-1,1),(1,1) |\n| down | (0,-1),(1,-1),(-1,-1) |\n| left-up | (-1,1),(-1,0),(0,1) |\n| left-down | (-1,-1),(0,-1),(-1,0) |\n| right-up | (1,1),(0,1),(1,0) |\n| right-down | (1,-1),(1,0),(0,-1) |",0]
["| Action | (MV,MDR) | ValuesofAUandotherderivedfeatures(MV,MR) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | BMCG | BMC | Head | Hand | Leg | SA | MD |\n| Stand | (0,–) | (0,X) | (0,X) | (0,X) | (0,X) | – | (-1,0,1) |\n| Wave | (0,–) | (1,MID) | (0,UP) | (2,UP/MID) | (0,LL) | – | (-1,0,1) |\n| Punch | (0,–) | (1,MID) | (1,UP) | (2,UP/MID) | (0,LL) | (0-30) | (-1,0,1) |\n| Kick | (0,–) | (1,MID) | (1,UP) | (1,MID) | (0,LL/MID | (0-130) | (-1,0,1) |","| Jump | (2,Y/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | – | (-1,0,1) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Run | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-90) | (-1,0,1) |\n| Walk | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-60) | (-1,0,1) |\n| Turnback | (1,X/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | (0-30) | (-1,0,1) |",1]
["| Action | (MV,MDR) | ValuesofAUandotherderivedfeatures(MV,MR) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | BMCG | BMC | Head | Hand | Leg | SA | MD |\n| Stand | (0,–) | (0,X) | (0,X) | (0,X) | (0,X) | – | (-1,0,1) |\n| Wave | (0,–) | (1,MID) | (0,UP) | (2,UP/MID) | (0,LL) | – | (-1,0,1) |\n| Punch | (0,–) | (1,MID) | (1,UP) | (2,UP/MID) | (0,LL) | (0-30) | (-1,0,1) |\n| Kick | (0,–) | (1,MID) | (1,UP) | (1,MID) | (0,LL/MID | (0-130) | (-1,0,1) |","| right-up | (1,1),(0,1),(1,0) |\n| --- | --- |\n| right-down | (1,-1),(1,0),(0,-1) |",0]
["| Segmentationtime(seconds) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | SVM1 | SVMLast | SDAE1 | SDAELast |\n| Opticnerve(L) | 173.4234(±5.4534) | 221.3296(±6.7034) | 0.1915(±0.0124) | 0.2628(±0.0172) |\n| Opticnerve(R) | 167.7524(±6.7484) | 214.4560(±9.3614) | 0.1726(±0.0091) | 0.2517(±0.0194) |\n| Pituitarygland | 15.5368(±0.7802) | 19.3440(±0.8235) | 0.0536(±0.0066) | 0.0748(±0.0065) |","| Pituitarystalk | 3.0150(±0.1485) | 4.1328(±0.3899) | 0.0146(±0.0018) | 0.0262(±0.0027) |\n| --- | --- | --- | --- | --- |\n| Chiasm | 5.2022(±0.3214) | 5.8751(±0.5424) | 0.0628(±0.0065) | 0.1315(±0.0124) |",1]
["| Segmentationtime(seconds) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | SVM1 | SVMLast | SDAE1 | SDAELast |\n| Opticnerve(L) | 173.4234(±5.4534) | 221.3296(±6.7034) | 0.1915(±0.0124) | 0.2628(±0.0172) |\n| Opticnerve(R) | 167.7524(±6.7484) | 214.4560(±9.3614) | 0.1726(±0.0091) | 0.2517(±0.0194) |\n| Pituitarygland | 15.5368(±0.7802) | 19.3440(±0.8235) | 0.0536(±0.0066) | 0.0748(±0.0065) |","| DATASET | KNN | SVM | RandomForest |\n| --- | --- | --- | --- |\n| englishdailabor | 55.5(±1.7) | 58.2(±1.6) | 60.9(±1.7) |\n| aisoposntua | 51.7(±4.3) | 59.0(±1.0) | 59.7(±2.5) |\n| sentistrengthdigg | 46.0(±1.6) | 51.7(±2.8) | 49.4(±1.0) |\n| debate | 40.6(±1.5) | 23.7(±19.8) | 42.6(±1.7) |\n| sentistrengthrw | 37.3(±5.0) | 17.3(±14.6) | 34.6(±1.8) |",0]
["| Segmentationtime(seconds) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | SVM1 | SVMLast | SDAE1 | SDAELast |\n| Opticnerve(L) | 173.4234(±5.4534) | 221.3296(±6.7034) | 0.1915(±0.0124) | 0.2628(±0.0172) |","| Opticnerve(R) | 167.7524(±6.7484) | 214.4560(±9.3614) | 0.1726(±0.0091) | 0.2517(±0.0194) |\n| --- | --- | --- | --- | --- |\n| Pituitarygland | 15.5368(±0.7802) | 19.3440(±0.8235) | 0.0536(±0.0066) | 0.0748(±0.0065) |\n| Pituitarystalk | 3.0150(±0.1485) | 4.1328(±0.3899) | 0.0146(±0.0018) | 0.0262(±0.0027) |\n| Chiasm | 5.2022(±0.3214) | 5.8751(±0.5424) | 0.0628(±0.0065) | 0.1315(±0.0124) |",1]
["| Segmentationtime(seconds) |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | SVM1 | SVMLast | SDAE1 | SDAELast |\n| Opticnerve(L) | 173.4234(±5.4534) | 221.3296(±6.7034) | 0.1915(±0.0124) | 0.2628(±0.0172) |","| debate | 40.6(±1.5) | 23.7(±19.8) | 42.6(±1.7) |\n| --- | --- | --- | --- |\n| sentistrengthrw | 37.3(±5.0) | 17.3(±14.6) | 34.6(±1.8) |",0]
["| CIFAR-10 | NUS-WIDE |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits |","| 0.162<br>0.131<br>0.121<br>0.138 | 0.169<br>0.135<br>0.126<br>0.141 | 0.172<br>0.133<br>0.120<br>0.146 | 0.175<br>0.130<br>0.120<br>0.150 | 0.452<br>0.433<br>0.403<br>0.413 | 0.468<br>0.426<br>0.421<br>0.413 | 0.472<br>0.426<br>0.426<br>0.424 | 0.477<br>0.423<br>0.441<br>0.431 | 0.544<br>0.531<br>0.499<br>0.569 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 |\n| 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |",1]
["| CIFAR-10 | NUS-WIDE |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| CIFAR-10 | NUS-WIDE |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits |\n| 0.162<br>0.131<br>0.121<br>0.138 | 0.169<br>0.135<br>0.126<br>0.141 | 0.172<br>0.133<br>0.120<br>0.146 | 0.175<br>0.130<br>0.120<br>0.150 | 0.452<br>0.433<br>0.403<br>0.413 | 0.468<br>0.426<br>0.421<br>0.413 | 0.472<br>0.426<br>0.426<br>0.424 | 0.477<br>0.423<br>0.441<br>0.431 | 0.544<br>0.531<br>0.499<br>0.569 |","| 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |",1]
["| CIFAR-10 | NUS-WIDE |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits |\n| 0.162<br>0.131<br>0.121<br>0.138 | 0.169<br>0.135<br>0.126<br>0.141 | 0.172<br>0.133<br>0.120<br>0.146 | 0.175<br>0.130<br>0.120<br>0.150 | 0.452<br>0.433<br>0.403<br>0.413 | 0.468<br>0.426<br>0.421<br>0.413 | 0.472<br>0.426<br>0.426<br>0.424 | 0.477<br>0.423<br>0.441<br>0.431 | 0.544<br>0.531<br>0.499<br>0.569 |","| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| --- | --- | --- |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Method | R1mAP |\n| --- | --- |\n| CAN<br>HP-Net | 48.2424.43<br>76.90- |\n| DuATM | 91.4276.62 |","| ST-RNN<br>QAN | 70.6050.70<br>73.7451.70 |\n| --- | --- |\n| DuATM | 78.7462.26 |",1]
["| Method | R1mAP |\n| --- | --- |\n| CAN<br>HP-Net | 48.2424.43<br>76.90- |\n| DuATM | 91.4276.62 |","| Method | nC | Easy | Medium | Hard |\n| --- | --- | --- | --- | --- |\n| MTCNN | - | 0.848 | 0.825 | 0.598 |\n| HR-ResNet101 | - | 0.925 | 0.910 | 0.806 |\n| APN24+RNet48 | 3 | 0.883 | 0.879 | 0.761 |\n| APN24+RNet48+RNet96 | 3 | 0.906 | 0.895 | 0.801 |",0]
["| Method | R1mAP |\n| --- | --- |\n| CAN<br>HP-Net | 48.2424.43<br>76.90- |\n| DuATM | 91.4276.62 |","| ST-RNN<br>QAN | 70.6050.70<br>73.7451.70 |\n| --- | --- |\n| DuATM | 78.7462.26 |",1]
["| Method | R1mAP |\n| --- | --- |\n| CAN<br>HP-Net | 48.2424.43<br>76.90- |\n| DuATM | 91.4276.62 |","| HR-ResNet101 | - | 0.925 | 0.910 | 0.806 |\n| --- | --- | --- | --- | --- |\n| APN24+RNet48 | 3 | 0.883 | 0.879 | 0.761 |\n| APN24+RNet48+RNet96 | 3 | 0.906 | 0.895 | 0.801 |",0]
["|  | TeslaK40t |\n| --- | --- |\n| GPUchip | GK110BGL |\n| Computecapability | 3.5 |\n| GPUmemory(GDDR5SGRAM) | 12288MiB |\n| Memorybuswidth | 384bits |\n| Peakmemoryclockrate | 3004MHz |\n| Theoreticalmemorybandwidth | 268.58GiB/s |","| NumberofSMXprocessors | 15 |\n| --- | --- |\n| Max32-bitregistersperSIMDprocessor | 65536 |\n| Maxsharedmemoryperthreadblock | 49152bytes |\n| L2cachesize | 1.50MiB |",1]
["|  | TeslaK40t |\n| --- | --- |\n| GPUchip | GK110BGL |\n| Computecapability | 3.5 |\n| GPUmemory(GDDR5SGRAM) | 12288MiB |\n| Memorybuswidth | 384bits |\n| Peakmemoryclockrate | 3004MHz |\n| Theoreticalmemorybandwidth | 268.58GiB/s |","| GPUModel | TeslaC2050 | GeForceGT640 |\n| --- | --- | --- |\n| CUDADriver | 4.2 | 5.0 |\n| CUDARuntime | 4.2 | 4.2 |\n| CUDACapability | 2.0 | 3.0 |\n| GPUArchitecture | FermiGF100 | KeplerGK107 |\n| GlobalMemory | 5GB | 2GB |\n| SharedMemoryperMP | 48KB | 16KB |\n| Registers | 32768 | 65536 |\n| WarpSize | 32 | 32 |\n| CUDACores | 448 | 384 |\n| Multiprocessors(MP) | 14 | 2 |\n| TotalSharedMemory | 672KB | 32KB |\n| LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |",0]
["|  | TeslaK40t |\n| --- | --- |\n| GPUchip | GK110BGL |","| Computecapability | 3.5 |\n| --- | --- |\n| GPUmemory(GDDR5SGRAM) | 12288MiB |\n| Memorybuswidth | 384bits |\n| Peakmemoryclockrate | 3004MHz |\n| Theoreticalmemorybandwidth | 268.58GiB/s |\n| NumberofSMXprocessors | 15 |\n| Max32-bitregistersperSIMDprocessor | 65536 |\n| Maxsharedmemoryperthreadblock | 49152bytes |\n| L2cachesize | 1.50MiB |",1]
["|  | TeslaK40t |\n| --- | --- |\n| GPUchip | GK110BGL |","| CUDACores | 448 | 384 |\n| --- | --- | --- |\n| Multiprocessors(MP) | 14 | 2 |\n| TotalSharedMemory | 672KB | 32KB |\n| LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |",0]
["| Utility | NE | NSE | RSEforheuristicalgorithm |\n| --- | --- | --- | --- |\n| Leader1 | 7.07 | 5.06 | 4.97 |\n| Leader2 | 1.67 | 4.33 | 4.19 |","| Follower | 1.7 | 2.08 | 2.49 |\n| --- | --- | --- | --- |\n| Socialutilityoftheleader2andthefollower | 3.37 | 6.41 | 6.68 |",1]
["| Utility | NE | NSE | RSEforheuristicalgorithm |\n| --- | --- | --- | --- |\n| Leader1 | 7.07 | 5.06 | 4.97 |\n| Leader2 | 1.67 | 4.33 | 4.19 |","|  | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ |\n| --- | --- | --- | --- | --- |\n| Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 |\n| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |\n| Pruning | – | – | 0.57 | 0.56 |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |\n| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",0]
["| Utility | NE | NSE | RSEforheuristicalgorithm |\n| --- | --- | --- | --- |\n| Leader1 | 7.07 | 5.06 | 4.97 |","| Leader2 | 1.67 | 4.33 | 4.19 |\n| --- | --- | --- | --- |\n| Follower | 1.7 | 2.08 | 2.49 |\n| Socialutilityoftheleader2andthefollower | 3.37 | 6.41 | 6.68 |",1]
["| Utility | NE | NSE | RSEforheuristicalgorithm |\n| --- | --- | --- | --- |\n| Leader1 | 7.07 | 5.06 | 4.97 |","| Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 |\n| --- | --- | --- | --- | --- |\n| Pruning | – | – | 0.57 | 0.56 |\n| Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 |\n| Preferences | 3.63 | 1.57 | 1.27 | 0.41 |\n| TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |",0]
["|  | PDTB-basedDataSet | SEW-basedDataSet |\n| --- | --- | --- |\n| Source | PennDiscourse<br>TreebankCorpus | SimpleEnglish<br>WikipediaCorpus |","| #ofpairsofarticles | 378 | 1988 |\n| --- | --- | --- |\n| #ofpositivepairs | 194 | 944 |\n| #ofnegativepairs | 184 | 944 |\n| DiscourseAnnotation | ManuallyAnnotated | Extractedusing<br>End-to-Endparser |",1]
["|  | PDTB-basedDataSet | SEW-basedDataSet |\n| --- | --- | --- |\n| Source | PennDiscourse<br>TreebankCorpus | SimpleEnglish<br>WikipediaCorpus |","| LexicalFeatures |\n| --- |\n| currenttoken/currenttokenandnexttoken<br>lengthoftheDA<br>isdigit?<br>appearinginnextDA?<br>nextDAisapositivefeedback? |\n| StructuralFeatures |\n| seeTable3 |\n| GrammaticalFeatures |\n| part-of-speech<br>phrasetype(VP/NP/PP)<br>dependencyrelations |\n| OtherFeatures |\n| speakerrole<br>topic |",0]
["|  | PDTB-basedDataSet | SEW-basedDataSet |\n| --- | --- | --- |\n| Source | PennDiscourse<br>TreebankCorpus | SimpleEnglish<br>WikipediaCorpus |","| #ofpairsofarticles | 378 | 1988 |\n| --- | --- | --- |\n| #ofpositivepairs | 194 | 944 |\n| #ofnegativepairs | 184 | 944 |\n| DiscourseAnnotation | ManuallyAnnotated | Extractedusing<br>End-to-Endparser |",1]
["|  | PDTB-basedDataSet | SEW-basedDataSet |\n| --- | --- | --- |\n| Source | PennDiscourse<br>TreebankCorpus | SimpleEnglish<br>WikipediaCorpus |","| OtherFeatures |\n| --- |\n| speakerrole<br>topic |",0]
["| Sport | KeyMoments |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 13 |\n| 2012PremierLeagueSoccerGames | 21 |\n| 2014NHLStanleyCupPlayoﬀs | 24 |\n| 2014NBAPlayoﬀs | 3 |\n| 2014KentuckyDerbyHorseRace | 3 |\n| 2014BelmontStakesHorseRace | 3 |\n| 2014FIFAWorldCupStagesA+B | 80 |\n| TestingData |  |\n| 2013MLBWorldSeriesGame5 | 7 |\n| 2013MLBWorldSeriesGame6 | 8 |\n| 2014NFLSuperBowl | 13 |","| 2014FIFAWorldCupThirdPlace | 11 |\n| --- | --- |\n| 2014FIFAWorldCupFinal | 7 |\n| Total | 193 |",1]
["| Sport | KeyMoments |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 13 |\n| 2012PremierLeagueSoccerGames | 21 |\n| 2014NHLStanleyCupPlayoﬀs | 24 |\n| 2014NBAPlayoﬀs | 3 |\n| 2014KentuckyDerbyHorseRace | 3 |\n| 2014BelmontStakesHorseRace | 3 |\n| 2014FIFAWorldCupStagesA+B | 80 |\n| TestingData |  |\n| 2013MLBWorldSeriesGame5 | 7 |\n| 2013MLBWorldSeriesGame6 | 8 |\n| 2014NFLSuperBowl | 13 |","| Event | TweetCount |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 109,809 |\n| 2012PremierLeagueSoccerGames | 1,064,040 |\n| 2014NHLStanleyCupPlayoﬀs | 2,421,065 |\n| 2014NBAPlayoﬀs | 500,170 |\n| 2014KentuckyDerbyHorseRace | 233,172 |\n| 2014BelmontStakesHorseRace | 226,160 |\n| 2014FIFAWorldCupStagesA+B | 5,867,783 |\n| TestingData |  |\n| 2013MLBWorldSeriesGame5 | 1,052,852 |\n| 2013MLBWorldSeriesGame6 | 1,026,848 |\n| 2013HonshuEarthquake | 444,018 |\n| 2014NFLSuperBowl | 1,024,367 |\n| 2014FIFAWorldCupThirdPlace | 809,426 |\n| 2014FIFAWorldCupFinal | 1,166,767 |\n| 2014IwakiEarthquake | 358,966 |\n| Total | 16,305,443 |",0]
["| Sport | KeyMoments |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 13 |","| 2012PremierLeagueSoccerGames | 21 |\n| --- | --- |\n| 2014NHLStanleyCupPlayoﬀs | 24 |\n| 2014NBAPlayoﬀs | 3 |\n| 2014KentuckyDerbyHorseRace | 3 |\n| 2014BelmontStakesHorseRace | 3 |\n| 2014FIFAWorldCupStagesA+B | 80 |\n| TestingData |  |\n| 2013MLBWorldSeriesGame5 | 7 |\n| 2013MLBWorldSeriesGame6 | 8 |\n| 2014NFLSuperBowl | 13 |\n| 2014FIFAWorldCupThirdPlace | 11 |\n| 2014FIFAWorldCupFinal | 7 |\n| Total | 193 |",1]
["| Sport | KeyMoments |\n| --- | --- |\n| TrainingData |  |\n| 2010NFLDivisionChampionship | 13 |","| 2013MLBWorldSeriesGame6 | 1,026,848 |\n| --- | --- |\n| 2013HonshuEarthquake | 444,018 |\n| 2014NFLSuperBowl | 1,024,367 |\n| 2014FIFAWorldCupThirdPlace | 809,426 |\n| 2014FIFAWorldCupFinal | 1,166,767 |\n| 2014IwakiEarthquake | 358,966 |\n| Total | 16,305,443 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |","| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |\n| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |\n| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |\n| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |\n| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |\n| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |\n| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |\n| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |\n| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |\n| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |\n| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |\n| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 |",0]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |\n| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |\n| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |\n| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |\n| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |","| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |\n| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 |",1]
["|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |\n| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |\n| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |\n| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |\n| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |","| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |\n| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |\n| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |\n| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |\n| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |\n| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 |",0]
["| Expertise | Melody | Structure | Preference |\n| --- | --- | --- | --- |\n| low | .598 | .545 | .542 |\n| middle | .719 | .692 | .619 |\n| high | .687 | .712 | .712 |\n| all | .691 | .684 | .654 |\n| low | .583 | .458 | .583 |\n| middle | .570 | .427 | .567 |","| high | .598 | .511 | .565 |\n| --- | --- | --- | --- |\n| all | .577 | .447 | .567 |",1]
["| Expertise | Melody | Structure | Preference |\n| --- | --- | --- | --- |\n| low | .598 | .545 | .542 |\n| middle | .719 | .692 | .619 |\n| high | .687 | .712 | .712 |\n| all | .691 | .684 | .654 |\n| low | .583 | .458 | .583 |\n| middle | .570 | .427 | .567 |","|  | MusicalEnsembleGroup | NoMusicalEnsembleGroup |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | Human-like | Harmony | Melody | Human-like | Harmony | Melody |\n| OdetoJoy<br>-Layered<br>HMM | 3.125 | 3.250 | 3.125 | 3.8 | 4.0 | 3.8 |\n| WeThree<br>Kings-<br>Layered<br>HMM | 3.500 | 3.125 | 3.125 | 2.4 | 1.8 | 2.2 |\n| Pachelbel’s<br>Canon-<br>TVAR(11) | 3.438 | 3.375 | 3.063 | 3.5 | 3.6 | 3.2 |",0]
["| Expertise | Melody | Structure | Preference |\n| --- | --- | --- | --- |\n| low | .598 | .545 | .542 |\n| middle | .719 | .692 | .619 |\n| high | .687 | .712 | .712 |\n| all | .691 | .684 | .654 |\n| low | .583 | .458 | .583 |","| middle | .570 | .427 | .567 |\n| --- | --- | --- | --- |\n| high | .598 | .511 | .565 |\n| all | .577 | .447 | .567 |",1]
["| Expertise | Melody | Structure | Preference |\n| --- | --- | --- | --- |\n| low | .598 | .545 | .542 |\n| middle | .719 | .692 | .619 |\n| high | .687 | .712 | .712 |\n| all | .691 | .684 | .654 |\n| low | .583 | .458 | .583 |","| WeThree<br>Kings-<br>Layered<br>HMM | 3.500 | 3.125 | 3.125 | 2.4 | 1.8 | 2.2 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Pachelbel’s<br>Canon-<br>TVAR(11) | 3.438 | 3.375 | 3.063 | 3.5 | 3.6 | 3.2 |",0]
["| Graph | TSM-MWC<br>w | LSCC<br>w(w)maxavg | RRWL<br>w(w)maxavg | TRSC<br>w(w)maxavg |\n| --- | --- | --- | --- | --- |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5<br>frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 3693<br>4470<br>3958<br>4609<br>4023<br>4469<br>5105<br>4373<br>4916<br>5038 | 5886(5834.58)<br>5886(5826.08)<br>5844(5792.07)<br>5873(5833.78)<br>5817(5766.64)<br>6591(6548.68)<br>6645(6558.62)<br>6576(6523.49)<br>6592(6501.58)<br>6584(6527.69) | 5916(5841.13)<br>5886(5827.72)<br>5842(5795.35)<br>5877(5830.09)<br>5810(5774.23)<br>6591(6539.59)<br>6645(6552.96)<br>6606(6532.8)<br>6592(6505.26)<br>6569(6523.45) | 5916(5850.63)<br>5882(5842.6)<br>5854(5805.8)<br>5877(5840.62)<br>5843(5785.52)<br>6591(6554.16)<br>6645(6568.67)<br>6606(6542.24)<br>6592(6518.74)<br>6581(6533.69) |\n| frb65-28-1<br>frb65-28-2<br>frb65-28-3<br>frb65-28-4<br>frb65-28-5<br>frb70-30-1<br>frb70-30-2<br>frb70-30-3<br>frb70-30-4<br>frb70-30-5<br>frb75-32-1<br>frb75-32-2<br>frb75-32-3<br>frb75-32-4<br>frb75-32-5<br>frb80-33-1<br>frb80-33-2<br>frb80-33-3<br>frb80-33-4<br>frb80-33-5 | 5208<br>4788<br>4857<br>4587<br>4881<br>5125<br>5159<br>4635<br>4918<br>5402<br>5168<br>5820<br>5928<br>6315<br>5393<br>5819<br>5783<br>5954<br>6655<br>6167 | 7410(7319.63)<br>7421(7369.89)<br>7449(7359.52)<br>7433(7366.07)<br>7451(7354.89)<br>7717(7597.72)<br>7749(7668.98)<br>7678(7622.72)<br>7739(7680.75)<br>7749(7669.0)<br>8615(8537.8)<br>8644(8569.07)<br>8619(8506.95)<br>8714(8589.85)<br>8663(8590.24)<br>9353(9249.81)<br>9343(9251.12)<br>7449(7359.52)<br>9387(9305.08)<br>9413(9337.37) | 7405(7353.08)<br>7425(7365.99)<br>7434(7361.07)<br>7438(7366.83)<br>7451(7354.73)<br>7688(7600.97)<br>7734(7667.96)<br>7733(7620.69)<br>7750(7684.43)<br>7725(7666.93)<br>8637(8532.98)<br>8657(8570.63)<br>8565(8496.14)<br>8688(8590.29)<br>8655(8591.12)<br>9461(9242.11)<br>9390(9248.75)<br>7434(7361.07)<br>9430(9301.91)<br>9415(9341.21) | 7432(7377.73)<br>7441(7380.56)<br>7445(7377.62)<br>7448(7381.88)<br>7451(7374.99)<br>7772(7617.76)<br>7777(7689.7)<br>7696(7638.95)<br>7766(7703.22)<br>7740(7683.99)<br>8621(8556.81)<br>8667(8583.37)<br>8600(8528.81)<br>8692(8607.74)<br>8644(8602.52)<br>9407(9294.27)<br>9387(9293.51)<br>7445(7377.62)<br>9408(9332.44)<br>9478(9360.45) |\n| C2000.9<br>C4000.5 | 8338<br>2438 | 10999(10942.27)<br>2792(2792.0) | 10999(10951.67)<br>2792(2792.0) | 10999(10965.43)<br>2792(2792.0) |","| hamming10-4 | 4828 | 5129(5129.0) | 5129(5129.0) | 5129(5129.0) |\n| --- | --- | --- | --- | --- |\n| keller6 | 4793 | 8062(7841.39) | 8062(7891.05) | 8062(7961.9) |\n| MANNa45<br>MANNa81 | ∗<br>34265<br>110037 | 34254(34244.51)<br>111126(111093.81) | 34263(34254.75)<br>111346(111306.32) | 34262(34254.18)<br>111356(111305.79) |",1]
["| Graph | TSM-MWC<br>w | LSCC<br>w(w)maxavg | RRWL<br>w(w)maxavg | TRSC<br>w(w)maxavg |\n| --- | --- | --- | --- | --- |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5<br>frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 3693<br>4470<br>3958<br>4609<br>4023<br>4469<br>5105<br>4373<br>4916<br>5038 | 5886(5834.58)<br>5886(5826.08)<br>5844(5792.07)<br>5873(5833.78)<br>5817(5766.64)<br>6591(6548.68)<br>6645(6558.62)<br>6576(6523.49)<br>6592(6501.58)<br>6584(6527.69) | 5916(5841.13)<br>5886(5827.72)<br>5842(5795.35)<br>5877(5830.09)<br>5810(5774.23)<br>6591(6539.59)<br>6645(6552.96)<br>6606(6532.8)<br>6592(6505.26)<br>6569(6523.45) | 5916(5850.63)<br>5882(5842.6)<br>5854(5805.8)<br>5877(5840.62)<br>5843(5785.52)<br>6591(6554.16)<br>6645(6568.67)<br>6606(6542.24)<br>6592(6518.74)<br>6581(6533.69) |\n| frb65-28-1<br>frb65-28-2<br>frb65-28-3<br>frb65-28-4<br>frb65-28-5<br>frb70-30-1<br>frb70-30-2<br>frb70-30-3<br>frb70-30-4<br>frb70-30-5<br>frb75-32-1<br>frb75-32-2<br>frb75-32-3<br>frb75-32-4<br>frb75-32-5<br>frb80-33-1<br>frb80-33-2<br>frb80-33-3<br>frb80-33-4<br>frb80-33-5 | 5208<br>4788<br>4857<br>4587<br>4881<br>5125<br>5159<br>4635<br>4918<br>5402<br>5168<br>5820<br>5928<br>6315<br>5393<br>5819<br>5783<br>5954<br>6655<br>6167 | 7410(7319.63)<br>7421(7369.89)<br>7449(7359.52)<br>7433(7366.07)<br>7451(7354.89)<br>7717(7597.72)<br>7749(7668.98)<br>7678(7622.72)<br>7739(7680.75)<br>7749(7669.0)<br>8615(8537.8)<br>8644(8569.07)<br>8619(8506.95)<br>8714(8589.85)<br>8663(8590.24)<br>9353(9249.81)<br>9343(9251.12)<br>7449(7359.52)<br>9387(9305.08)<br>9413(9337.37) | 7405(7353.08)<br>7425(7365.99)<br>7434(7361.07)<br>7438(7366.83)<br>7451(7354.73)<br>7688(7600.97)<br>7734(7667.96)<br>7733(7620.69)<br>7750(7684.43)<br>7725(7666.93)<br>8637(8532.98)<br>8657(8570.63)<br>8565(8496.14)<br>8688(8590.29)<br>8655(8591.12)<br>9461(9242.11)<br>9390(9248.75)<br>7434(7361.07)<br>9430(9301.91)<br>9415(9341.21) | 7432(7377.73)<br>7441(7380.56)<br>7445(7377.62)<br>7448(7381.88)<br>7451(7374.99)<br>7772(7617.76)<br>7777(7689.7)<br>7696(7638.95)<br>7766(7703.22)<br>7740(7683.99)<br>8621(8556.81)<br>8667(8583.37)<br>8600(8528.81)<br>8692(8607.74)<br>8644(8602.52)<br>9407(9294.27)<br>9387(9293.51)<br>7445(7377.62)<br>9408(9332.44)<br>9478(9360.45) |\n| C2000.9<br>C4000.5 | 8338<br>2438 | 10999(10942.27)<br>2792(2792.0) | 10999(10951.67)<br>2792(2792.0) | 10999(10965.43)<br>2792(2792.0) |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Graph | TSM-MWC<br>w | LSCC<br>w(w)maxavg | RRWL<br>w(w)maxavg | TRSC<br>w(w)maxavg |\n| --- | --- | --- | --- | --- |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5<br>frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 3693<br>4470<br>3958<br>4609<br>4023<br>4469<br>5105<br>4373<br>4916<br>5038 | 5886(5834.58)<br>5886(5826.08)<br>5844(5792.07)<br>5873(5833.78)<br>5817(5766.64)<br>6591(6548.68)<br>6645(6558.62)<br>6576(6523.49)<br>6592(6501.58)<br>6584(6527.69) | 5916(5841.13)<br>5886(5827.72)<br>5842(5795.35)<br>5877(5830.09)<br>5810(5774.23)<br>6591(6539.59)<br>6645(6552.96)<br>6606(6532.8)<br>6592(6505.26)<br>6569(6523.45) | 5916(5850.63)<br>5882(5842.6)<br>5854(5805.8)<br>5877(5840.62)<br>5843(5785.52)<br>6591(6554.16)<br>6645(6568.67)<br>6606(6542.24)<br>6592(6518.74)<br>6581(6533.69) |\n| frb65-28-1<br>frb65-28-2<br>frb65-28-3<br>frb65-28-4<br>frb65-28-5<br>frb70-30-1<br>frb70-30-2<br>frb70-30-3<br>frb70-30-4<br>frb70-30-5<br>frb75-32-1<br>frb75-32-2<br>frb75-32-3<br>frb75-32-4<br>frb75-32-5<br>frb80-33-1<br>frb80-33-2<br>frb80-33-3<br>frb80-33-4<br>frb80-33-5 | 5208<br>4788<br>4857<br>4587<br>4881<br>5125<br>5159<br>4635<br>4918<br>5402<br>5168<br>5820<br>5928<br>6315<br>5393<br>5819<br>5783<br>5954<br>6655<br>6167 | 7410(7319.63)<br>7421(7369.89)<br>7449(7359.52)<br>7433(7366.07)<br>7451(7354.89)<br>7717(7597.72)<br>7749(7668.98)<br>7678(7622.72)<br>7739(7680.75)<br>7749(7669.0)<br>8615(8537.8)<br>8644(8569.07)<br>8619(8506.95)<br>8714(8589.85)<br>8663(8590.24)<br>9353(9249.81)<br>9343(9251.12)<br>7449(7359.52)<br>9387(9305.08)<br>9413(9337.37) | 7405(7353.08)<br>7425(7365.99)<br>7434(7361.07)<br>7438(7366.83)<br>7451(7354.73)<br>7688(7600.97)<br>7734(7667.96)<br>7733(7620.69)<br>7750(7684.43)<br>7725(7666.93)<br>8637(8532.98)<br>8657(8570.63)<br>8565(8496.14)<br>8688(8590.29)<br>8655(8591.12)<br>9461(9242.11)<br>9390(9248.75)<br>7434(7361.07)<br>9430(9301.91)<br>9415(9341.21) | 7432(7377.73)<br>7441(7380.56)<br>7445(7377.62)<br>7448(7381.88)<br>7451(7374.99)<br>7772(7617.76)<br>7777(7689.7)<br>7696(7638.95)<br>7766(7703.22)<br>7740(7683.99)<br>8621(8556.81)<br>8667(8583.37)<br>8600(8528.81)<br>8692(8607.74)<br>8644(8602.52)<br>9407(9294.27)<br>9387(9293.51)<br>7445(7377.62)<br>9408(9332.44)<br>9478(9360.45) |\n| C2000.9<br>C4000.5 | 8338<br>2438 | 10999(10942.27)<br>2792(2792.0) | 10999(10951.67)<br>2792(2792.0) | 10999(10965.43)<br>2792(2792.0) |\n| hamming10-4 | 4828 | 5129(5129.0) | 5129(5129.0) | 5129(5129.0) |","| keller6 | 4793 | 8062(7841.39) | 8062(7891.05) | 8062(7961.9) |\n| --- | --- | --- | --- | --- |\n| MANNa45<br>MANNa81 | ∗<br>34265<br>110037 | 34254(34244.51)<br>111126(111093.81) | 34263(34254.75)<br>111346(111306.32) | 34262(34254.18)<br>111356(111305.79) |",1]
["| Graph | TSM-MWC<br>w | LSCC<br>w(w)maxavg | RRWL<br>w(w)maxavg | TRSC<br>w(w)maxavg |\n| --- | --- | --- | --- | --- |\n| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5<br>frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 3693<br>4470<br>3958<br>4609<br>4023<br>4469<br>5105<br>4373<br>4916<br>5038 | 5886(5834.58)<br>5886(5826.08)<br>5844(5792.07)<br>5873(5833.78)<br>5817(5766.64)<br>6591(6548.68)<br>6645(6558.62)<br>6576(6523.49)<br>6592(6501.58)<br>6584(6527.69) | 5916(5841.13)<br>5886(5827.72)<br>5842(5795.35)<br>5877(5830.09)<br>5810(5774.23)<br>6591(6539.59)<br>6645(6552.96)<br>6606(6532.8)<br>6592(6505.26)<br>6569(6523.45) | 5916(5850.63)<br>5882(5842.6)<br>5854(5805.8)<br>5877(5840.62)<br>5843(5785.52)<br>6591(6554.16)<br>6645(6568.67)<br>6606(6542.24)<br>6592(6518.74)<br>6581(6533.69) |\n| frb65-28-1<br>frb65-28-2<br>frb65-28-3<br>frb65-28-4<br>frb65-28-5<br>frb70-30-1<br>frb70-30-2<br>frb70-30-3<br>frb70-30-4<br>frb70-30-5<br>frb75-32-1<br>frb75-32-2<br>frb75-32-3<br>frb75-32-4<br>frb75-32-5<br>frb80-33-1<br>frb80-33-2<br>frb80-33-3<br>frb80-33-4<br>frb80-33-5 | 5208<br>4788<br>4857<br>4587<br>4881<br>5125<br>5159<br>4635<br>4918<br>5402<br>5168<br>5820<br>5928<br>6315<br>5393<br>5819<br>5783<br>5954<br>6655<br>6167 | 7410(7319.63)<br>7421(7369.89)<br>7449(7359.52)<br>7433(7366.07)<br>7451(7354.89)<br>7717(7597.72)<br>7749(7668.98)<br>7678(7622.72)<br>7739(7680.75)<br>7749(7669.0)<br>8615(8537.8)<br>8644(8569.07)<br>8619(8506.95)<br>8714(8589.85)<br>8663(8590.24)<br>9353(9249.81)<br>9343(9251.12)<br>7449(7359.52)<br>9387(9305.08)<br>9413(9337.37) | 7405(7353.08)<br>7425(7365.99)<br>7434(7361.07)<br>7438(7366.83)<br>7451(7354.73)<br>7688(7600.97)<br>7734(7667.96)<br>7733(7620.69)<br>7750(7684.43)<br>7725(7666.93)<br>8637(8532.98)<br>8657(8570.63)<br>8565(8496.14)<br>8688(8590.29)<br>8655(8591.12)<br>9461(9242.11)<br>9390(9248.75)<br>7434(7361.07)<br>9430(9301.91)<br>9415(9341.21) | 7432(7377.73)<br>7441(7380.56)<br>7445(7377.62)<br>7448(7381.88)<br>7451(7374.99)<br>7772(7617.76)<br>7777(7689.7)<br>7696(7638.95)<br>7766(7703.22)<br>7740(7683.99)<br>8621(8556.81)<br>8667(8583.37)<br>8600(8528.81)<br>8692(8607.74)<br>8644(8602.52)<br>9407(9294.27)<br>9387(9293.51)<br>7445(7377.62)<br>9408(9332.44)<br>9478(9360.45) |\n| C2000.9<br>C4000.5 | 8338<br>2438 | 10999(10942.27)<br>2792(2792.0) | 10999(10951.67)<br>2792(2792.0) | 10999(10965.43)<br>2792(2792.0) |\n| hamming10-4 | 4828 | 5129(5129.0) | 5129(5129.0) | 5129(5129.0) |","| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| --- | --- | --- | --- | --- | --- |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| CountOnce | MultiCount |  |\n| --- | --- | --- |\n| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |\n| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T |\n| 60 |  |  |\n| 90 |  |  |\n| 120 |  |  |","| 150 |\n| --- |\n| 180 |",1]
["| CountOnce | MultiCount |  |\n| --- | --- | --- |\n| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |\n| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T |\n| 60 |  |  |\n| 90 |  |  |\n| 120 |  |  |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| CountOnce | MultiCount |  |\n| --- | --- | --- |\n| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |\n| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T |\n| 60 |  |  |\n| 90 |  |  |","| 120 |\n| --- |\n| 150 |\n| 180 |",1]
["| CountOnce | MultiCount |  |\n| --- | --- | --- |\n| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |\n| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T |\n| 60 |  |  |\n| 90 |  |  |","| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| --- | --- | --- |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.733 | 4.6000 | 24.92 | 0.7429 |","| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MEN | 23.50 | 0.6942 | 1.9833 | 23.97 | 0.7052 | 2.1167 | 24.46 | 0.7197 |\n| AEN | 24.14 | 0.7274 | 3.2333 | 24.62 | 0.7411 | 3.3000 | 24.97 | 0.7533 |\n| CEN | 24.42 | 0.7397 | 4.1000 | 24.82 | 0.7545 | 4.0500 | 25.20 | 0.7646 |",1]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.733 | 4.6000 | 24.92 | 0.7429 |","|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.733 | 4.6000 | 24.92 | 0.7429 |","| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MEN | 23.50 | 0.6942 | 1.9833 | 23.97 | 0.7052 | 2.1167 | 24.46 | 0.7197 |\n| AEN | 24.14 | 0.7274 | 3.2333 | 24.62 | 0.7411 | 3.3000 | 24.97 | 0.7533 |\n| CEN | 24.42 | 0.7397 | 4.1000 | 24.82 | 0.7545 | 4.0500 | 25.20 | 0.7646 |",1]
["|  | Scale176×144 | Scale192×160 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.733 | 4.6000 | 24.92 | 0.7429 |","| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |\n| --- | --- | --- | --- | --- | --- |\n| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 |","| R-LWEenc | 128(pre) | S6LX9 | 144 | 136,986 | 946 |\n| --- | --- | --- | --- | --- | --- |\n| 189 | 66,338 | 351 |  |  |  |\n| BLISS | 128(pre) | S6LX25 | 129 | 16,210 | 126.6 |\n| 142 | 9,835 | 69.3 |  |  |  |\n| IBE | 80(pre) | S6LX25 | 174 | 13,958/9,530 | 80.2/54.8 |",1]
["| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |\n| --- | --- | --- | --- | --- | --- |\n| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 |","| Device | GTX560Ti | GTX780 | GTX980 |\n| --- | --- | --- | --- |\n| W(byte/cycle)bank | 2 | 8 | 4 |\n| f(GHz)core | 0.950 | 1.006 | 1.279 |\n| W(GB/s)SM | 60.80 | 257.54 | 163.84 |\n| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 |",0]
["| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |\n| --- | --- | --- | --- | --- | --- |\n| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 |\n| R-LWEenc | 128(pre) | S6LX9 | 144 | 136,986 | 946 |","| 189 | 66,338 | 351 |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BLISS | 128(pre) | S6LX25 | 129 | 16,210 | 126.6 |\n| 142 | 9,835 | 69.3 |  |  |  |\n| IBE | 80(pre) | S6LX25 | 174 | 13,958/9,530 | 80.2/54.8 |",1]
["| Schemes | BitSecurity | Devices | MHz | Cycles | Time(µs) |\n| --- | --- | --- | --- | --- | --- |\n| R-LWEenc | 128(pre) | V6LX75T | 313 | 6,300/2,800 | 20.1/9.1 |\n| R-LWEenc | 128(pre) | S6LX9 | 144 | 136,986 | 946 |","| W(GB/s)SM | 60.80 | 257.54 | 163.84 |\n| --- | --- | --- | --- |\n| (cid:48)<br>(GB/s)W<br>SM | 34.90 | 83.81 | 137.41 |",0]
["| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |\n| 31.17 | 30.67 | 31.61 | 30.80 | 32.53 | 32.07 | 30.91 | 29.24 | 31.20 |\n| 46.38 | 45.79 | 45.88 | 42.04 | 45.20 | 45.23 | 44.42 | 43.56 | 40.40 |","| 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 |",1]
["| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |\n| 31.17 | 30.67 | 31.61 | 30.80 | 32.53 | 32.07 | 30.91 | 29.24 | 31.20 |\n| 46.38 | 45.79 | 45.88 | 42.04 | 45.20 | 45.23 | 44.42 | 43.56 | 40.40 |","| Figure | a | b | γ | Initialcondition | No.oftrials/<br>samples |\n| --- | --- | --- | --- | --- | --- |\n| ?? | 4 | - | - | 0.1 | 100samples |\n| ?? | - | - | - | - | 100samples |\n| ?? | 4 | - | - | 0.1 | 5,000samples |\n| ?? | - | - | - | - | 5,000samples |\n| ?? | 0to4 | - | - | 0.1 | 250samples |\n| ?? | 2.0to2.4 | - | - | 0.5 | 250samples |\n| ?? | 0to2 | - | - | 0.1 | 250samples |\n| ?? | 3.74 | - | - | 0.1 | 100samples |\n| ?? | 3.74 | - | - | 0.1 | 50,000samples |\n| ?? | 4 | - | - | 0.1 | 50,000samples |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 0to4step0.1 | 0to4step0.1 | 0.5 | [x,y]=[0,0] | 5,000trials |\n| ?? | 4 | - | 0to1step0.1 | 0to1step0.01 | 5,000trials |\n| ?? | 2.27 | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.9 | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | - | - | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| ?? | sameasbelow | sameasbelow | 0to1step0.1 | sameasbelow | 5,000trials |\n| ??<br>Logistic<br>Sinusoidal<br>Tent<br>Gaussian<br>Henon<br>Lozi | -<br>4<br>2.27<br>1.9<br>-<br>1.7<br>1.7 | -<br>-<br>-<br>-<br>-<br>0<br>0 | -<br>0.50<br>0.55<br>0.55<br>0.41<br>0.68<br>0.55 | -<br>0.1<br>0.5<br>0.8<br>0.701<br>[x,y]=[0,0]<br>[x,y]=[0,0] | -<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials |",0]
["| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |\n| 31.17 | 30.67 | 31.61 | 30.80 | 32.53 | 32.07 | 30.91 | 29.24 | 31.20 |","| 46.38 | 45.79 | 45.88 | 42.04 | 45.20 | 45.23 | 44.42 | 43.56 | 40.40 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 26.72 | 26.93 | 26.35 | 26.51 | 26.07 | 26.41 | 27.51 | 23.81 | 24.56 |\n| 33.45 | 33.08 | 32.96 | 32.16 | 33.15 | 33.01 | 32.77 | 31.09 | 31.33 |",1]
["| −20<br>γ=1e | Full<br>γ=0.2 | Full<br>γ=0.5 | Full<br>γ=0.9 | Partial<br>γ=0.2 | Partial<br>γ=0.5 | Partial<br>γ=0.9 | Greedy<br>Sample | Pool<br>Seg |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 29.53 | 28.96 | 28.03 | 29.27 | 28.83 | 28.33 | 28.23 | 27.76 | 29.19 |\n| 31.17 | 30.67 | 31.61 | 30.80 | 32.53 | 32.07 | 30.91 | 29.24 | 31.20 |","| ?? | 1.7 | 0 | 0to1step0.1 | 0to1step0.1 | 5,000trials |\n| --- | --- | --- | --- | --- | --- |\n| ?? | sameasbelow | sameasbelow | 0to1step0.1 | sameasbelow | 5,000trials |\n| ??<br>Logistic<br>Sinusoidal<br>Tent<br>Gaussian<br>Henon<br>Lozi | -<br>4<br>2.27<br>1.9<br>-<br>1.7<br>1.7 | -<br>-<br>-<br>-<br>-<br>0<br>0 | -<br>0.50<br>0.55<br>0.55<br>0.41<br>0.68<br>0.55 | -<br>0.1<br>0.5<br>0.8<br>0.701<br>[x,y]=[0,0]<br>[x,y]=[0,0] | -<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials<br>50,000trials |",0]
["|  | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |\n| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.2825 | 0.2909 | 0.2435 | 0.2513 | 0.2514 |\n| PCAH | 0.4997 | 0.4607 | 0.3641 | 0.2056 | 0.1867 | 0.1695 | 0.2169 | 0.2058 | 0.1991 |\n| SH | 0.5175 | 0.5330 | 0.4898 | 0.1935 | 0.1921 | 0.1750 | 0.2117 | 0.2054 | 0.2015 |\n| LDAH | 0.5052 | 0.3685 | 0.3093 | 0.2187 | 0.1794 | 0.1587 | 0.2154 | 0.2032 | 0.1961 |\n| BRE | 0.6950 | 0.7498 | 0.7785 | 0.2552 | 0.2668 | 0.2864 | 0.2414 | 0.2522 | 0.2587 |\n| MLH | 0.6731 | 0.4404 | 0.4258 | 0.1737 | 0.1675 | 0.1737 | 0.2000 | 0.2115 | 0.2162 |\n| KSH | 0.9537 | 0.9713 | 0.9817 | 0.3441 | 0.4617 | 0.5482 | 0.2862 | 0.3668 | 0.4132 |\n| DH-1 | 0.957 | 0.963 | 0.960 | 0.439 | 0.511 | 0.522 | – | – | – |\n| DH∗-1 | 0.969 | 0.975 | 0.975 | 0.465 | 0.521 | 0.532 | – | – | – |\n| DH-2 | 0.4675 | 0.5101 | 0.5250 | 0.1880 | 0.2083 | 0.2251 | – | – | – |","| DH-3 | – | – | – | 0.552 | 0.566 | 0.581 | – | – | – |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DeepHash | 0.9918 | 0.9931 | 0.9938 | 0.6874 | 0.7289 | 0.7410 | 0.5487 | 0.5552 | 0.5615 |",1]
["|  | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |\n| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.2825 | 0.2909 | 0.2435 | 0.2513 | 0.2514 |\n| PCAH | 0.4997 | 0.4607 | 0.3641 | 0.2056 | 0.1867 | 0.1695 | 0.2169 | 0.2058 | 0.1991 |\n| SH | 0.5175 | 0.5330 | 0.4898 | 0.1935 | 0.1921 | 0.1750 | 0.2117 | 0.2054 | 0.2015 |\n| LDAH | 0.5052 | 0.3685 | 0.3093 | 0.2187 | 0.1794 | 0.1587 | 0.2154 | 0.2032 | 0.1961 |\n| BRE | 0.6950 | 0.7498 | 0.7785 | 0.2552 | 0.2668 | 0.2864 | 0.2414 | 0.2522 | 0.2587 |\n| MLH | 0.6731 | 0.4404 | 0.4258 | 0.1737 | 0.1675 | 0.1737 | 0.2000 | 0.2115 | 0.2162 |\n| KSH | 0.9537 | 0.9713 | 0.9817 | 0.3441 | 0.4617 | 0.5482 | 0.2862 | 0.3668 | 0.4132 |\n| DH-1 | 0.957 | 0.963 | 0.960 | 0.439 | 0.511 | 0.522 | – | – | – |\n| DH∗-1 | 0.969 | 0.975 | 0.975 | 0.465 | 0.521 | 0.532 | – | – | – |\n| DH-2 | 0.4675 | 0.5101 | 0.5250 | 0.1880 | 0.2083 | 0.2251 | – | – | – |","| CIFAR-10 | NUS-WIDE |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12bits | 24bits | 32bits | 48bits | 12bits | 24bits | 32bits | 48bits | 12bits |\n| 0.162<br>0.131<br>0.121<br>0.138 | 0.169<br>0.135<br>0.126<br>0.141 | 0.172<br>0.133<br>0.120<br>0.146 | 0.175<br>0.130<br>0.120<br>0.150 | 0.452<br>0.433<br>0.403<br>0.413 | 0.468<br>0.426<br>0.421<br>0.413 | 0.472<br>0.426<br>0.426<br>0.424 | 0.477<br>0.423<br>0.441<br>0.431 | 0.544<br>0.531<br>0.499<br>0.569 |\n| 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 |\n| 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |",0]
["|  | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |\n| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.2825 | 0.2909 | 0.2435 | 0.2513 | 0.2514 |\n| PCAH | 0.4997 | 0.4607 | 0.3641 | 0.2056 | 0.1867 | 0.1695 | 0.2169 | 0.2058 | 0.1991 |\n| SH | 0.5175 | 0.5330 | 0.4898 | 0.1935 | 0.1921 | 0.1750 | 0.2117 | 0.2054 | 0.2015 |\n| LDAH | 0.5052 | 0.3685 | 0.3093 | 0.2187 | 0.1794 | 0.1587 | 0.2154 | 0.2032 | 0.1961 |\n| BRE | 0.6950 | 0.7498 | 0.7785 | 0.2552 | 0.2668 | 0.2864 | 0.2414 | 0.2522 | 0.2587 |","| MLH | 0.6731 | 0.4404 | 0.4258 | 0.1737 | 0.1675 | 0.1737 | 0.2000 | 0.2115 | 0.2162 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KSH | 0.9537 | 0.9713 | 0.9817 | 0.3441 | 0.4617 | 0.5482 | 0.2862 | 0.3668 | 0.4132 |\n| DH-1 | 0.957 | 0.963 | 0.960 | 0.439 | 0.511 | 0.522 | – | – | – |\n| DH∗-1 | 0.969 | 0.975 | 0.975 | 0.465 | 0.521 | 0.532 | – | – | – |\n| DH-2 | 0.4675 | 0.5101 | 0.5250 | 0.1880 | 0.2083 | 0.2251 | – | – | – |\n| DH-3 | – | – | – | 0.552 | 0.566 | 0.581 | – | – | – |\n| DeepHash | 0.9918 | 0.9931 | 0.9938 | 0.6874 | 0.7289 | 0.7410 | 0.5487 | 0.5552 | 0.5615 |",1]
["|  | MNIST<br>12bits24bits48bits | CIFAR10<br>12bits24bits48bits | Kaggle-Face<br>12bits24bits48bits |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSH | 0.3717 | 0.4933 | 0.5725 | 0.1311 | 0.1619 | 0.2034 | 0.1911 | 0.2011 | 0.1976 |\n| ITQ | 0.7578 | 0.8132 | 0.8293 | 0.2711 | 0.2825 | 0.2909 | 0.2435 | 0.2513 | 0.2514 |\n| PCAH | 0.4997 | 0.4607 | 0.3641 | 0.2056 | 0.1867 | 0.1695 | 0.2169 | 0.2058 | 0.1991 |\n| SH | 0.5175 | 0.5330 | 0.4898 | 0.1935 | 0.1921 | 0.1750 | 0.2117 | 0.2054 | 0.2015 |\n| LDAH | 0.5052 | 0.3685 | 0.3093 | 0.2187 | 0.1794 | 0.1587 | 0.2154 | 0.2032 | 0.1961 |\n| BRE | 0.6950 | 0.7498 | 0.7785 | 0.2552 | 0.2668 | 0.2864 | 0.2414 | 0.2522 | 0.2587 |","| 0.196<br>0.174<br>0.101<br>0.212 | 0.246<br>0.205<br>0.128<br>0.247 | 0.289<br>0.220<br>0.132<br>0.256 | 0.301<br>0.232<br>0.169<br>0.281 | 0.435<br>0.433<br>0.401<br>0.549 | 0.435<br>0.426<br>0.442<br>0.614 | 0.548<br>0.426<br>0.480<br>0.653 | 0.435<br>0.423<br>0.471<br>0.678 | 0.553<br>0.550<br>0.543<br>0.552 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.185<br>0.160<br>0.401 | 0.218<br>0.164<br>0.512 | 0.248<br>0.166<br>0.531 | 0.263<br>0.168<br>0.558 | 0.383<br>0.422<br>0.675 | 0.401<br>0.448<br>0.690 | 0.403<br>0.480<br>0.714 | 0.412<br>0.493<br>0.728 | 0.501<br>0.553<br>0.683 |",0]
["| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |\n| --- | --- | --- | --- | --- |\n| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |\n| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |\n| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - |","| balance | 1.000±0.000(6) | 1.000±0.000(500) | - | 0.579±0.106 |\n| --- | --- | --- | --- | --- |\n| australian | 0.913±0.034(256) | 0.930±0.020(552) | 0.925±0.021 | 0.927±0.016 |\n| vechile | 0.977±0.022(431) | 0.995±0.002(677) | - | 0.818±0.026 |\n| fourclass | 0.999±0.000(108) | 1.000±0.000(690) | 0.829±0.036 | - |\n| svmguide3 | 0.823±0.027(216) | 0.824±0.026(995) | - | 0.734±0.038 |\n| a2a | 0.880±0.009(64) | 0.880±0.010(1741) | - | 0.873±0.019 |\n| magic04 | 0.874±0.023(182) | 0.894±0.007(15124) | - | 0.798±0.007 |",1]
["| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |\n| --- | --- | --- | --- | --- |\n| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |\n| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |\n| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - |","| k..kminmax | c±se | c±soute | c±sine |\n| --- | --- | --- | --- |\n| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |\n| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |\n| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |\n| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |\n| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",0]
["| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |\n| --- | --- | --- | --- | --- |\n| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |\n| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |\n| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - |","| balance | 1.000±0.000(6) | 1.000±0.000(500) | - | 0.579±0.106 |\n| --- | --- | --- | --- | --- |\n| australian | 0.913±0.034(256) | 0.930±0.020(552) | 0.925±0.021 | 0.927±0.016 |\n| vechile | 0.977±0.022(431) | 0.995±0.002(677) | - | 0.818±0.026 |\n| fourclass | 0.999±0.000(108) | 1.000±0.000(690) | 0.829±0.036 | - |\n| svmguide3 | 0.823±0.027(216) | 0.824±0.026(995) | - | 0.734±0.038 |\n| a2a | 0.880±0.009(64) | 0.880±0.010(1741) | - | 0.873±0.019 |\n| magic04 | 0.874±0.023(182) | 0.894±0.007(15124) | - | 0.798±0.007 |",1]
["| Datasets | SparseKernelAUC | KernelrankSVM | OILKRS | AdaOAM |\n| --- | --- | --- | --- | --- |\n| sonar | 0.914±0.043(105) | 0.951±0.029(167) | 0.929±.039 | - |\n| glass | 0.871±0.054(150) | 0.881±0.051(171) | - | 0.816±0.058 |\n| ionosphere | 0.980±0.017(182) | 0.987±0.014(281) | 0.954±0.021 | - |","| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| --- | --- | --- | --- |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",0]
["| Model | R-1 | R-2 | R-L |\n| --- | --- | --- | --- |\n| LSTM(standard) | 32.13 | 11.73 | 29.26 |\n| LSTM(attention) | 34.17 | 11.97 | 30.13 |\n| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 |","| Location-basedmodel(decoderandencoder) | 35.42 | 12.27 | 30.97 |\n| --- | --- | --- | --- |\n| User-basedmodel(decoderandencoder) | 32.67 | 11.79 | 29.39 |\n| Socialusermodel(standard) | 36.8 | 12.83 | 31.24 |\n| Socialusermodel(tuned) | 37.21 | 13.48 | 32.60 |",1]
["| Model | R-1 | R-2 | R-L |\n| --- | --- | --- | --- |\n| LSTM(standard) | 32.13 | 11.73 | 29.26 |\n| LSTM(attention) | 34.17 | 11.97 | 30.13 |\n| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 |","| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |\n| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |\n| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |\n| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |\n| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| Model | R-1 | R-2 | R-L |\n| --- | --- | --- | --- |\n| LSTM(standard) | 32.13 | 11.73 | 29.26 |\n| LSTM(attention) | 34.17 | 11.97 | 30.13 |\n| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 |\n| Location-basedmodel(decoderandencoder) | 35.42 | 12.27 | 30.97 |\n| User-basedmodel(decoderandencoder) | 32.67 | 11.79 | 29.39 |","| Socialusermodel(standard) | 36.8 | 12.83 | 31.24 |\n| --- | --- | --- | --- |\n| Socialusermodel(tuned) | 37.21 | 13.48 | 32.60 |",1]
["| Model | R-1 | R-2 | R-L |\n| --- | --- | --- | --- |\n| LSTM(standard) | 32.13 | 11.73 | 29.26 |\n| LSTM(attention) | 34.17 | 11.97 | 30.13 |\n| Location-basedmodel(decoder) | 35.67 | 12.41 | 31.13 |\n| Location-basedmodel(decoderandencoder) | 35.42 | 12.27 | 30.97 |\n| User-basedmodel(decoderandencoder) | 32.67 | 11.79 | 29.39 |","| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| --- | --- | --- | --- | --- | --- | --- |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| Student | Obtainedscore | NormalizedFinalScore |\n| --- | --- | --- |\n| 1 | 0.5 | 36.67 |\n| 2 | 1 | 43.65 |\n| 3 | 1 | 44.92 |","| 4 | 0.75 | 48.46 |\n| --- | --- | --- |\n| 5 | 1 | 49.23 |\n| 6 | 0.75 | 49.50 |\n| 7 | 0 | 50.70 |\n| 8 | 0 | 60.61 |\n| 9 | 0 | 61.75 |",1]
["| Student | Obtainedscore | NormalizedFinalScore |\n| --- | --- | --- |\n| 1 | 0.5 | 36.67 |\n| 2 | 1 | 43.65 |\n| 3 | 1 | 44.92 |","| Student | Obtainedscore | FinalScore |\n| --- | --- | --- |\n| 1 | 1 | 50.32 |\n| 2 | 0 | 59.89 |\n| 3 | 0 | 61.63 |\n| 4 | 1 | 66.50 |\n| 5 | 1 | 67.54 |\n| 6 | 0 | 67.92 |\n| 7 | 1 | 69.57 |\n| 8 | 0 | 83.16 |\n| 9 | 0 | 84.73 |",0]
["| Student | Obtainedscore | NormalizedFinalScore |\n| --- | --- | --- |\n| 1 | 0.5 | 36.67 |\n| 2 | 1 | 43.65 |\n| 3 | 1 | 44.92 |","| 4 | 0.75 | 48.46 |\n| --- | --- | --- |\n| 5 | 1 | 49.23 |\n| 6 | 0.75 | 49.50 |\n| 7 | 0 | 50.70 |\n| 8 | 0 | 60.61 |\n| 9 | 0 | 61.75 |",1]
["| Student | Obtainedscore | NormalizedFinalScore |\n| --- | --- | --- |\n| 1 | 0.5 | 36.67 |\n| 2 | 1 | 43.65 |\n| 3 | 1 | 44.92 |","| 2 | 0 | 59.89 |\n| --- | --- | --- |\n| 3 | 0 | 61.63 |\n| 4 | 1 | 66.50 |\n| 5 | 1 | 67.54 |\n| 6 | 0 | 67.92 |\n| 7 | 1 | 69.57 |\n| 8 | 0 | 83.16 |\n| 9 | 0 | 84.73 |",0]
["| ParticipantsLivDet2009 | AlgorithmName |\n| --- | --- |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| Anonymous | Anonymous |\n| Anonymous2 | Anonymous2 |\n| ParticipantsLivDet2011 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversityofNaplesFedericoII | Federico |\n| ChineseAcademyofSciences | CASIA |\n| ParticipantsLivDet2013 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| HangZhouJLWTechnologyCoLtd | HZ-JLW |\n| FederalUniversityofPernambuco | Itautec |\n| ChineseAcademyofSciences | CAoS |\n| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |\n| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |\n| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |","| FirstAnonymousparticipant | Anonym1 |\n| --- | --- |\n| SecondAnonymousparticipant | Anonym2 |\n| ThirdAnonymousparticipant | Anonym3 |\n| ParticipantsLivDet2015 | AlgorithmName |\n| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |\n| InstituteforInfocommResearch(I2R) | CSI |\n| InstituteforInfocommResearch(I2R) | CSIMM |\n| Dermalog | hbirkholz |\n| UniversidadeFederaldePernambuco | hectorn |\n| Anonymousparticipant | anonym |\n| HangzhouJinglianwenTechnologyCo.,Ltd | jinglian |\n| UniversidadeFederalRuraldePernambuco | UFPEI |\n| UniversidadeFederalRuraldePernambuco | UFPEII |\n| UniversityofNaplesFedericoII | unina |\n| NewYorkUniversity | nogueira |\n| ZhejiangUniversityofTechnology | titanz |",1]
["| ParticipantsLivDet2009 | AlgorithmName |\n| --- | --- |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| Anonymous | Anonymous |\n| Anonymous2 | Anonymous2 |\n| ParticipantsLivDet2011 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversityofNaplesFedericoII | Federico |\n| ChineseAcademyofSciences | CASIA |\n| ParticipantsLivDet2013 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| HangZhouJLWTechnologyCoLtd | HZ-JLW |\n| FederalUniversityofPernambuco | Itautec |\n| ChineseAcademyofSciences | CAoS |\n| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |\n| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |\n| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |","| Participants | Algorithmnames |\n| --- | --- |\n| SupremaIDInc. | SSLFD |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWA |\n| HangzhouJinglianwenTechnologyCo.,Ltd | JLWB |\n| OKIBrasil | OKIBrB20 |\n| OKIBrasil | OKIBrB30 |\n| ZhejiangUniversityofTechnology | ZYL1 |\n| ZhejiangUniversityofTechnology | ZYL2 |\n| Anonymous0 | SNOTA20171 |\n| Anonymous0 | SNOTA20172 |\n| ModuLAB. | ModuLAB |\n| ChosunUniversity | ganfp |\n| Anonymous1 | PBLivDet1 |\n| Anonymous1 | PBLivDet2 |\n| KAIST | hanulj |\n| Anonymous2 | SpoofWit |\n| UniversityofNaplesFedericoII | LCPD |\n| CENATAV | PADfV |",0]
["| ParticipantsLivDet2009 | AlgorithmName |\n| --- | --- |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| Anonymous | Anonymous |\n| Anonymous2 | Anonymous2 |\n| ParticipantsLivDet2011 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversityofNaplesFedericoII | Federico |\n| ChineseAcademyofSciences | CASIA |\n| ParticipantsLivDet2013 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| HangZhouJLWTechnologyCoLtd | HZ-JLW |\n| FederalUniversityofPernambuco | Itautec |\n| ChineseAcademyofSciences | CAoS |\n| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |\n| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |\n| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |\n| FirstAnonymousparticipant | Anonym1 |\n| SecondAnonymousparticipant | Anonym2 |","| ThirdAnonymousparticipant | Anonym3 |\n| --- | --- |\n| ParticipantsLivDet2015 | AlgorithmName |\n| InstitutodeBiociencias,LetraseCienciasExatas | COPILHA |\n| InstituteforInfocommResearch(I2R) | CSI |\n| InstituteforInfocommResearch(I2R) | CSIMM |\n| Dermalog | hbirkholz |\n| UniversidadeFederaldePernambuco | hectorn |\n| Anonymousparticipant | anonym |\n| HangzhouJinglianwenTechnologyCo.,Ltd | jinglian |\n| UniversidadeFederalRuraldePernambuco | UFPEI |\n| UniversidadeFederalRuraldePernambuco | UFPEII |\n| UniversityofNaplesFedericoII | unina |\n| NewYorkUniversity | nogueira |\n| ZhejiangUniversityofTechnology | titanz |",1]
["| ParticipantsLivDet2009 | AlgorithmName |\n| --- | --- |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| Anonymous | Anonymous |\n| Anonymous2 | Anonymous2 |\n| ParticipantsLivDet2011 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversityofNaplesFedericoII | Federico |\n| ChineseAcademyofSciences | CASIA |\n| ParticipantsLivDet2013 | AlgorithmName |\n| DermalogIdentiﬁcationSystemsGmbH | Dermalog |\n| UniversidadAutonomadeMadrid | ATVS |\n| HangZhouJLWTechnologyCoLtd | HZ-JLW |\n| FederalUniversityofPernambuco | Itautec |\n| ChineseAcademyofSciences | CAoS |\n| UniversityofNaplesFedericoII(algorithm1) | UniNap1 |\n| UniversityofNaplesFedericoII(algorithm2) | UniNap2 |\n| UniversityofNaplesFedericoII(algorithm3) | UniNap3 |\n| FirstAnonymousparticipant | Anonym1 |\n| SecondAnonymousparticipant | Anonym2 |","| Anonymous1 | PBLivDet1 |\n| --- | --- |\n| Anonymous1 | PBLivDet2 |\n| KAIST | hanulj |\n| Anonymous2 | SpoofWit |\n| UniversityofNaplesFedericoII | LCPD |\n| CENATAV | PADfV |",0]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.06 | . | .81 |","| DecayFunctionatAll | 2.28 | . | .13 |\n| --- | --- | --- | --- |\n| DocumentContentatSlidingwindow | 9.96 | . | .00 |\n| DocumentContentatExponentialdecay | 1.19 | . | .28 |",1]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.06 | . | .81 |","| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.08 | .20 | .78 |\n| DecayFunctionatAll | 4.99 | .30 | .03 |\n| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |\n| DocumentContentatExponentialdecay | 0.00 | .00 | .97 |",0]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.06 | . | .81 |","| DecayFunctionatAll | 2.28 | . | .13 |\n| --- | --- | --- | --- |\n| DocumentContentatSlidingwindow | 9.96 | . | .00 |\n| DocumentContentatExponentialdecay | 1.19 | . | .28 |",1]
["| Factor | F | η | p |\n| --- | --- | --- | --- |\n| DecayFunctionatTitle | 0.06 | . | .81 |","| DecayFunctionatAll | 4.99 | .30 | .03 |\n| --- | --- | --- | --- |\n| DocumentContentatSlidingwindow | 8.74 | .12 | .00 |\n| DocumentContentatExponentialdecay | 0.00 | .00 | .97 |",0]
["|  | English | German | Hungarian | Icelandic | Swedish |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) |  |\n| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 | 95.78<br>95.44<br>96.42 | 0.90<br>0.60<br>0.64 | 91.81<br>91.87<br>91.75 | 0.82<br>0.84<br>0.83 | 91.92<br>91.70<br>91.78 | 5.18<br>4.71<br>5.17 | 91.83<br>91.73<br>91.69 | 0.39<br>0.39<br>0.41 |\n| Att-RNN<br>Att-GRU<br>Att-LSTM | 95.90<br>95.99<br>96.02 | 1.21<br>1.19<br>1.17 | 94.93<br>95.48<br>96.44 | 0.70<br>0.66<br>0.44 | 92.47<br>92.49<br>92.36 | 0.77<br>0.82<br>0.78 | 92.54<br>92.25<br>91.76 | 4.95<br>5.08<br>4.93 | 91.94<br>92.04<br>92.08 | 0.38<br>0.36<br>0.36 |","| Transformer | 96.33 | 1.17 | 95.70 | 0.48 | 92.94 | 0.80 | 91.60 | 5.15 | 89.48 | 0.49 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BPE-Soft | 96.19 | 1.18 | 96.96 | 0.32 | 92.74 | 0.78 | 92.14 | 4.95 | 91.56 | 0.35 |",1]
["|  | English | German | Hungarian | Icelandic | Swedish |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) |  |\n| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 | 95.78<br>95.44<br>96.42 | 0.90<br>0.60<br>0.64 | 91.81<br>91.87<br>91.75 | 0.82<br>0.84<br>0.83 | 91.92<br>91.70<br>91.78 | 5.18<br>4.71<br>5.17 | 91.83<br>91.73<br>91.69 | 0.39<br>0.39<br>0.41 |\n| Att-RNN<br>Att-GRU<br>Att-LSTM | 95.90<br>95.99<br>96.02 | 1.21<br>1.19<br>1.17 | 94.93<br>95.48<br>96.44 | 0.70<br>0.66<br>0.44 | 92.47<br>92.49<br>92.36 | 0.77<br>0.82<br>0.78 | 92.54<br>92.25<br>91.76 | 4.95<br>5.08<br>4.93 | 91.94<br>92.04<br>92.08 | 0.38<br>0.36<br>0.36 |","|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["|  | English | German | Hungarian | Icelandic | Swedish |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) |  |\n| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 | 95.78<br>95.44<br>96.42 | 0.90<br>0.60<br>0.64 | 91.81<br>91.87<br>91.75 | 0.82<br>0.84<br>0.83 | 91.92<br>91.70<br>91.78 | 5.18<br>4.71<br>5.17 | 91.83<br>91.73<br>91.69 | 0.39<br>0.39<br>0.41 |\n| Att-RNN<br>Att-GRU<br>Att-LSTM | 95.90<br>95.99<br>96.02 | 1.21<br>1.19<br>1.17 | 94.93<br>95.48<br>96.44 | 0.70<br>0.66<br>0.44 | 92.47<br>92.49<br>92.36 | 0.77<br>0.82<br>0.78 | 92.54<br>92.25<br>91.76 | 4.95<br>5.08<br>4.93 | 91.94<br>92.04<br>92.08 | 0.38<br>0.36<br>0.36 |","| Transformer | 96.33 | 1.17 | 95.70 | 0.48 | 92.94 | 0.80 | 91.60 | 5.15 | 89.48 | 0.49 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BPE-Soft | 96.19 | 1.18 | 96.96 | 0.32 | 92.74 | 0.78 | 92.14 | 4.95 | 91.56 | 0.35 |",1]
["|  | English | German | Hungarian | Icelandic | Swedish |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) | Acc | (cid:52) |  |\n| NoAtt-RNN<br>NoAtt-GRU<br>NoAtt-LSTM | 95.92<br>95.93<br>95.81 | 1.19<br>1.14<br>1.20 | 95.78<br>95.44<br>96.42 | 0.90<br>0.60<br>0.64 | 91.81<br>91.87<br>91.75 | 0.82<br>0.84<br>0.83 | 91.92<br>91.70<br>91.78 | 5.18<br>4.71<br>5.17 | 91.83<br>91.73<br>91.69 | 0.39<br>0.39<br>0.41 |\n| Att-RNN<br>Att-GRU<br>Att-LSTM | 95.90<br>95.99<br>96.02 | 1.21<br>1.19<br>1.17 | 94.93<br>95.48<br>96.44 | 0.70<br>0.66<br>0.44 | 92.47<br>92.49<br>92.36 | 0.77<br>0.82<br>0.78 | 92.54<br>92.25<br>91.76 | 4.95<br>5.08<br>4.93 | 91.94<br>92.04<br>92.08 | 0.38<br>0.36<br>0.36 |","| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| RepresentationType | T=50 | T=100 | T=500 |\n| --- | --- | --- | --- |\n| Abstract | 0.722 | 0.829 | 0.928 |\n| Keywords | 0.081 | 0.117 | 0.152 |","| Concept1 | 0.766 | 0.893 | 0.970 |\n| --- | --- | --- | --- |\n| Concept2 | 0.295 | 0.398 | 0.579 |",1]
["| RepresentationType | T=50 | T=100 | T=500 |\n| --- | --- | --- | --- |\n| Abstract | 0.722 | 0.829 | 0.928 |\n| Keywords | 0.081 | 0.117 | 0.152 |","| Informationgainratio | Attribute |\n| --- | --- |\n| 1 | totalread |\n| 0.1842 | wordlength |\n| 0.1611 | totalfastasize |\n| 0.1208 | totalgenomes |\n| 0.0421 | length |\n| 0.0271 | similarity |",0]
["| RepresentationType | T=50 | T=100 | T=500 |\n| --- | --- | --- | --- |\n| Abstract | 0.722 | 0.829 | 0.928 |\n| Keywords | 0.081 | 0.117 | 0.152 |","| Concept1 | 0.766 | 0.893 | 0.970 |\n| --- | --- | --- | --- |\n| Concept2 | 0.295 | 0.398 | 0.579 |",1]
["| RepresentationType | T=50 | T=100 | T=500 |\n| --- | --- | --- | --- |\n| Abstract | 0.722 | 0.829 | 0.928 |\n| Keywords | 0.081 | 0.117 | 0.152 |","| 0.1611 | totalfastasize |\n| --- | --- |\n| 0.1208 | totalgenomes |\n| 0.0421 | length |\n| 0.0271 | similarity |",0]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.2168 | 0.197 | 0.2051 | 0.1597 |","| 0.07 | 0.5094 | 0.5067 | 0.2983 | 0.2811 |\n| --- | --- | --- | --- | --- |\n| 0.09 | 0.7728 | 0.7439 | 0.3306 | 0.3819 |\n| 0.11 | 0.8720 | 0.8463 | 0.3878 | 0.4785 |\n| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |\n| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 |",1]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.2168 | 0.197 | 0.2051 | 0.1597 |","| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |\n| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |\n| 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 |\n| 0.11 | 0.3991 | 0.4674 | 0.5140 | 0.5710 |\n| 0.13 | 0.4304 | 0.5246 | 0.5494 | 0.6091 |\n| 0.15 | 0.4551 | 0.5500 | 0.5731 | 0.6388 |",0]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.2168 | 0.197 | 0.2051 | 0.1597 |","| 0.07 | 0.5094 | 0.5067 | 0.2983 | 0.2811 |\n| --- | --- | --- | --- | --- |\n| 0.09 | 0.7728 | 0.7439 | 0.3306 | 0.3819 |\n| 0.11 | 0.8720 | 0.8463 | 0.3878 | 0.4785 |\n| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |\n| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 |",1]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.2168 | 0.197 | 0.2051 | 0.1597 |","| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |\n| --- | --- | --- | --- | --- |\n| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |\n| 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 |\n| 0.11 | 0.3991 | 0.4674 | 0.5140 | 0.5710 |\n| 0.13 | 0.4304 | 0.5246 | 0.5494 | 0.6091 |\n| 0.15 | 0.4551 | 0.5500 | 0.5731 | 0.6388 |",0]
["| DatasetName | #Model | #Scene |\n| --- | --- | --- |\n| RandomViews | 6 | 36 |\n| LaserScanner | 5 | 10 |","| LIDAR | 5 | 10 |\n| --- | --- | --- |\n| Retrieval | 6 | 18 |",1]
["| DatasetName | #Model | #Scene |\n| --- | --- | --- |\n| RandomViews | 6 | 36 |\n| LaserScanner | 5 | 10 |","| Dataset/Descriptor | FPFH | SHOT | USC | RoPS | 3DBS-32 | 3DBS-64 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RandomViews | 0.24334 | 0.24799 | 0.05982 | 0.20001 | 0.22341 | 0.24010 |\n| LaserScanner | 0.07341 | 0.05018 | 0.01103 | 0.16310 | 0.155953 | 0.16389 |\n| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |\n| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 |",0]
["| DatasetName | #Model | #Scene |\n| --- | --- | --- |\n| RandomViews | 6 | 36 |","| LaserScanner | 5 | 10 |\n| --- | --- | --- |\n| LIDAR | 5 | 10 |\n| Retrieval | 6 | 18 |",1]
["| DatasetName | #Model | #Scene |\n| --- | --- | --- |\n| RandomViews | 6 | 36 |","| LIDAR | 0.00198 | 0.00136 | 0.00164 | 0.00521 | 0.004682 | 0.004897 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Retrieval | 0.49319 | 0.56114 | 0.59521 | 0.52457 | 0.61109 | 0.64120 |",0]
["|  | k=5 | k=10 | k=15 | k=20 |\n| --- | --- | --- | --- | --- |\n| k-means | 0.539 | 0.443 | 0.402 | 0.387 |\n| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |\n| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |\n| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |\n| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |\n| BKM(rnd)+Fast | 0.506 | 0.419 | 0.380 | 0.353 |\n| BsKM | 0.532 | 0.438 | 0.410 | 0.373 |\n| BsKM++ | 0.507 | 0.422 | 0.400 | 0.379 |","| BsBKM(non) | 0.514 | 0.388 | 0.353 | 0.329 |\n| --- | --- | --- | --- | --- |\n| RBK | 0.486 | 0.402 | 0.366 | 0.339 |",1]
["|  | k=5 | k=10 | k=15 | k=20 |\n| --- | --- | --- | --- | --- |\n| k-means | 0.539 | 0.443 | 0.402 | 0.387 |\n| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |\n| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |\n| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |\n| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |\n| BKM(rnd)+Fast | 0.506 | 0.419 | 0.380 | 0.353 |\n| BsKM | 0.532 | 0.438 | 0.410 | 0.373 |\n| BsKM++ | 0.507 | 0.422 | 0.400 | 0.379 |","| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |\n| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |\n| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |\n| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",0]
["|  | k=5 | k=10 | k=15 | k=20 |\n| --- | --- | --- | --- | --- |\n| k-means | 0.539 | 0.443 | 0.402 | 0.387 |\n| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |\n| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |\n| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |\n| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |\n| BKM(rnd)+Fast | 0.506 | 0.419 | 0.380 | 0.353 |","| BsKM | 0.532 | 0.438 | 0.410 | 0.373 |\n| --- | --- | --- | --- | --- |\n| BsKM++ | 0.507 | 0.422 | 0.400 | 0.379 |\n| BsBKM(non) | 0.514 | 0.388 | 0.353 | 0.329 |\n| RBK | 0.486 | 0.402 | 0.366 | 0.339 |",1]
["|  | k=5 | k=10 | k=15 | k=20 |\n| --- | --- | --- | --- | --- |\n| k-means | 0.539 | 0.443 | 0.402 | 0.387 |\n| k-means++ | 0.550 | 0.441 | 0.403 | 0.389 |\n| Mini-Batch | 0.585 | 0.488 | 0.469 | 0.475 |\n| LVQ | 0.800 | 0.761 | 0.681 | 0.674 |\n| BKM(non) | 0.552 | 0.442 | 0.388 | 0.368 |\n| BKM(rnd)+Fast | 0.506 | 0.419 | 0.380 | 0.353 |","| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| --- | --- | --- | --- | --- | --- |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",0]
["| Algorithm | Spouse | Education | Job |\n| --- | --- | --- | --- |\n| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |\n| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 |\n| HDV | 0.4526 | 0.8901 | 0.521 |","| Ours(User=0) | 0.5416 | 0.9098 | 0.5935 |\n| --- | --- | --- | --- |\n| Ours(User=1) | 0.4082 | 0.9274 | 0.6067 |",1]
["| Algorithm | Spouse | Education | Job |\n| --- | --- | --- | --- |\n| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |\n| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 |\n| HDV | 0.4526 | 0.8901 | 0.521 |","|  | Customer | Agent |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1-score | ARI | F1-score | ARI |\n| K-means(Doc2Vec) | 0.787 | 0.150 | 0.783 | 0.136 |\n| SimCluster(Doc2Vec) | 0.88 | 0.19 | 0.887 | 0.192 |\n| K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |\n| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 |",0]
["| Algorithm | Spouse | Education | Job |\n| --- | --- | --- | --- |\n| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |\n| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 |","| HDV | 0.4526 | 0.8901 | 0.521 |\n| --- | --- | --- | --- |\n| Ours(User=0) | 0.5416 | 0.9098 | 0.5935 |\n| Ours(User=1) | 0.4082 | 0.9274 | 0.6067 |",1]
["| Algorithm | Spouse | Education | Job |\n| --- | --- | --- | --- |\n| Paragraph2Vec | 0.3435 | 0.9259 | 0.5465 |\n| SimpleDistancemodel(SD) | 0.3704 | 0.9068 | 0.5872 |","| K-means(Seq2Seq) | 0.830 | 0.159 | 0.900 | 0.218 |\n| --- | --- | --- | --- | --- |\n| SimCluster(Seq2Seq) | 0.860 | 0.181 | 0.916 | 0.218 |",0]
["| FirstExperiment | SecondExperiment |  |  |  |\n| --- | --- | --- | --- | --- |\n| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |\n| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |\n| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,19994 | 0,82034±0,12727 |\n| clipTest105 | 0,35626±0,33049 | 0,74312±0,19479 | 0,66285±0,20553 | 0,74740±0,14689 |\n| ClipTest200 | 0,50643±0,241466 | 0,59407±0,20188 | 0,53926±0,21976 | 0,69309±0,16428 |","| ClipTest250 | 0,548647±0,240311 | 0,754679±0,15476 | 0,41965±0,28409 | 0,72621±0,15028 |\n| --- | --- | --- | --- | --- |\n| ClipTest300 | 0,58236±0,22632 | 0,66156±0,16352 | 0,33808±0,19672 | 0,79186±0,09732 |\n| ClipTest350 | 0,67679±0,29777 | 0,739803±0,16859 | 0,47971±0,40607 | 0,80467±0,15750 |\n| ClipTest500 | 0,58351±0,20639 | 0,75242±0,15365 | 0,36761±0,36777 | 0,82230±0,15196 |\n| ClipTest704 | 0,59292±0,18421 | 0,68858±0,16278 | 0,46192±0,21286 | 0,76831±0,11186 |\n| ClipTest752 | 0,41710±0,11422 | 0,63240±0,16870 | 0,25651±0,25830 | 0,58621±0,21568 |\n| ClipTest803 | 0,67961±0,24997 | 0,82489±0,14023 | 0,55019±0,18646 | 0,87474±0,06946 |\n| ClipTest849 | 0,39952±0,31980 | 0,67103±0,20623 | 0,30190±0,27491 | 0,81148±0,10363 |",1]
["| FirstExperiment | SecondExperiment |  |  |  |\n| --- | --- | --- | --- | --- |\n| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |\n| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |\n| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,19994 | 0,82034±0,12727 |\n| clipTest105 | 0,35626±0,33049 | 0,74312±0,19479 | 0,66285±0,20553 | 0,74740±0,14689 |\n| ClipTest200 | 0,50643±0,241466 | 0,59407±0,20188 | 0,53926±0,21976 | 0,69309±0,16428 |","| VideoName | Gaze-fixvsGBVS | Gaze-fixvsSignatureSal | Gaze-fixvsSeo | Gaze-fixvsDeepRGB8k |\n| --- | --- | --- | --- | --- |\n| clipTest1 | 0,81627±0,10087 | 0,69327±0,13647 | 0,50090±0,06489 | 0,725073±0,168168 |\n| clipTest56 | 0,76594±0,11569 | 0,75797±0,08650 | 0,64172±0,11630 | 0,82244±0,07295 |\n| clipTest105 | 0,63138±0,16925 | 0,57462±0,13967 | 0,54629±0,12330 | 0,63652±0,22207 |\n| clipTest200 | 0,75904±0,17022 | 0,87614±0,10807 | 0,65675±0,13202 | 0,77948±0,17523 |\n| clipTest250 | 0,74555±0,09992 | 0,69339±0,11066 | 0,47032±0,10193 | 0,84299±0,10787 |\n| clipTest300 | 0,82822±0,11143 | 0,81271±0,12922 | 0,75965±0,13658 | 0,74878±0,12161 |\n| clipTest350 | 0,65136±0,16637 | 0,68849±0,249027 | 0,57134±0,12408 | 0,72284±0,16996 |\n| clipTest500 | 0,82347±0,13901 | 0,84531±0,15070 | 0,75748±0,15382 | 0,85621±0,16137 |\n| ClipTest704 | 0,80168±0,08349 | 0,85520±0,06826 | 0,57703±0,07959 | 0,78256±0,09523 |\n| ClipTest752 | 0,73288±0,17742 | 0,54861±0,15555 | 0,71413±0,13138 | 0,59356±0,17804 |\n| ClipTest803 | 0,86825±0,106833 | 0,87556±0,06896 | 0,73847±0,14879 | 0,88170±0,10827 |\n| ClipTest849 | 0,75279±0,15518 | 0,91888±0,07070 | 0,55145±0,12245 | 0,91089±0,05217 |",0]
["| FirstExperiment | SecondExperiment |  |  |  |\n| --- | --- | --- | --- | --- |\n| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |\n| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |\n| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,19994 | 0,82034±0,12727 |\n| clipTest105 | 0,35626±0,33049 | 0,74312±0,19479 | 0,66285±0,20553 | 0,74740±0,14689 |\n| ClipTest200 | 0,50643±0,241466 | 0,59407±0,20188 | 0,53926±0,21976 | 0,69309±0,16428 |\n| ClipTest250 | 0,548647±0,240311 | 0,754679±0,15476 | 0,41965±0,28409 | 0,72621±0,15028 |\n| ClipTest300 | 0,58236±0,22632 | 0,66156±0,16352 | 0,33808±0,19672 | 0,79186±0,09732 |","| ClipTest350 | 0,67679±0,29777 | 0,739803±0,16859 | 0,47971±0,40607 | 0,80467±0,15750 |\n| --- | --- | --- | --- | --- |\n| ClipTest500 | 0,58351±0,20639 | 0,75242±0,15365 | 0,36761±0,36777 | 0,82230±0,15196 |\n| ClipTest704 | 0,59292±0,18421 | 0,68858±0,16278 | 0,46192±0,21286 | 0,76831±0,11186 |\n| ClipTest752 | 0,41710±0,11422 | 0,63240±0,16870 | 0,25651±0,25830 | 0,58621±0,21568 |\n| ClipTest803 | 0,67961±0,24997 | 0,82489±0,14023 | 0,55019±0,18646 | 0,87474±0,06946 |\n| ClipTest849 | 0,39952±0,31980 | 0,67103±0,20623 | 0,30190±0,27491 | 0,81148±0,10363 |",1]
["| FirstExperiment | SecondExperiment |  |  |  |\n| --- | --- | --- | --- | --- |\n| VideoName | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k | Gaze-fixvsDeep3k | Gaze-fixvsDeep4k |\n| clipTest1 | 0,58612±0,19784 | 0,61449±0,17079 | 0,55641±0,20651 | 0,77445±0,14233 |\n| clipTest56 | 0,74165±0,17394 | 0,75911±0,12509 | 0,65480±0,19994 | 0,82034±0,12727 |\n| clipTest105 | 0,35626±0,33049 | 0,74312±0,19479 | 0,66285±0,20553 | 0,74740±0,14689 |\n| ClipTest200 | 0,50643±0,241466 | 0,59407±0,20188 | 0,53926±0,21976 | 0,69309±0,16428 |\n| ClipTest250 | 0,548647±0,240311 | 0,754679±0,15476 | 0,41965±0,28409 | 0,72621±0,15028 |\n| ClipTest300 | 0,58236±0,22632 | 0,66156±0,16352 | 0,33808±0,19672 | 0,79186±0,09732 |","| clipTest350 | 0,65136±0,16637 | 0,68849±0,249027 | 0,57134±0,12408 | 0,72284±0,16996 |\n| --- | --- | --- | --- | --- |\n| clipTest500 | 0,82347±0,13901 | 0,84531±0,15070 | 0,75748±0,15382 | 0,85621±0,16137 |\n| ClipTest704 | 0,80168±0,08349 | 0,85520±0,06826 | 0,57703±0,07959 | 0,78256±0,09523 |\n| ClipTest752 | 0,73288±0,17742 | 0,54861±0,15555 | 0,71413±0,13138 | 0,59356±0,17804 |\n| ClipTest803 | 0,86825±0,106833 | 0,87556±0,06896 | 0,73847±0,14879 | 0,88170±0,10827 |\n| ClipTest849 | 0,75279±0,15518 | 0,91888±0,07070 | 0,55145±0,12245 | 0,91089±0,05217 |",0]
["| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |\n| --- | --- | --- | --- | --- |\n| Resultsoverthecompletedatabase |  |  |  |  |","| MP-D(α=6)<br>MP-G(α=6)<br>GREEDY | 0.56<br>0.49<br>0.57 | 0.54<br>0.43<br>0.54 | 0.09<br>0.16<br>0.12 | 0.07<br>0.12<br>0.10 |\n| --- | --- | --- | --- | --- |\n| Resultsoverthe100testimages |  |  |  |  |\n| MP-D(α=6)<br>MP-S(α=21)<br>MP-M(α=50)<br>MP-M(α=150) | 0.56<br>0.46<br>0.41<br>0.38 | 0.54<br>0.41<br>0.31<br>0.18 | 0.10<br>0.13<br>0.19<br>0.28 | 0.08<br>0.09<br>0.11<br>0.09 |\n| GREEDY<br>MP-G(α=6)<br>MP-G-S(α=21) | 0.58<br>0.50<br>0.42 | 0.54<br>0.45<br>0.31 | 0.13<br>0.17<br>0.23 | 0.10<br>0.13<br>0.14 |",1]
["| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |\n| --- | --- | --- | --- | --- |\n| Resultsoverthecompletedatabase |  |  |  |  |","| Denoising |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Berkeley1 | Berkeley2 | Berkeley3 | Run<br>Time |  |  |  |  |  |  |\n| Method | Dic.<br>Size | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) | Time<br>(min) | PSNR<br>(dB) |  |\n| Proposed(α=1/k)i<br>Proposed(α=0.1) | 40k<br>40k | 18.55<br>18.79 | 0.07<br>0.21 | 20.46<br>20.70 | 0.07<br>0.21 | 17.02<br>17.76 | 0.07<br>0.21 | 1x<br>3x | 17.16<br>17.42 |\n| OMP | 40k | 18.37 | 21.41 | 19.89 | 21.46 | 19.27 | 17.37 | 286x | 16.94 |\n| SPGL1<br>FPCAS<br>GPSR | 4k<br>4k<br>4k | 14.92<br>13.64<br>18.72 | 95.81<br>124.2<br>30.29 | 16.06<br>14.85<br>20.40 | 90.42<br>123.0<br>26.55 | 16.34<br>14.85<br>19.36 | 80.96<br>123.0<br>39.81 | 1272x<br>1763x<br>460x | 17.27<br>17.24<br>17.24 |\n| KD-Tree<br>ANN | 40k<br>40k | 18.06<br>18.03 | 101.7<br>24.58 | 19.63<br>19.59 | 101.7<br>25.41 | 17.21<br>16.60 | 101.7<br>25.29 | 1452x<br>358x | 16.77<br>16.77 |",0]
["| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |\n| --- | --- | --- | --- | --- |\n| Resultsoverthecompletedatabase |  |  |  |  |","| MP-D(α=6)<br>MP-G(α=6)<br>GREEDY | 0.56<br>0.49<br>0.57 | 0.54<br>0.43<br>0.54 | 0.09<br>0.16<br>0.12 | 0.07<br>0.12<br>0.10 |\n| --- | --- | --- | --- | --- |\n| Resultsoverthe100testimages |  |  |  |  |\n| MP-D(α=6)<br>MP-S(α=21)<br>MP-M(α=50)<br>MP-M(α=150) | 0.56<br>0.46<br>0.41<br>0.38 | 0.54<br>0.41<br>0.31<br>0.18 | 0.10<br>0.13<br>0.19<br>0.28 | 0.08<br>0.09<br>0.11<br>0.09 |\n| GREEDY<br>MP-G(α=6)<br>MP-G-S(α=21) | 0.58<br>0.50<br>0.42 | 0.54<br>0.45<br>0.31 | 0.13<br>0.17<br>0.23 | 0.10<br>0.13<br>0.14 |",1]
["| alg. | SPD | APD(P,Q) | APD(Q,P) | MPD |\n| --- | --- | --- | --- | --- |\n| Resultsoverthecompletedatabase |  |  |  |  |","| SPGL1<br>FPCAS<br>GPSR | 4k<br>4k<br>4k | 14.92<br>13.64<br>18.72 | 95.81<br>124.2<br>30.29 | 16.06<br>14.85<br>20.40 | 90.42<br>123.0<br>26.55 | 16.34<br>14.85<br>19.36 | 80.96<br>123.0<br>39.81 | 1272x<br>1763x<br>460x | 17.27<br>17.24<br>17.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| KD-Tree<br>ANN | 40k<br>40k | 18.06<br>18.03 | 101.7<br>24.58 | 19.63<br>19.59 | 101.7<br>25.41 | 17.21<br>16.60 | 101.7<br>25.29 | 1452x<br>358x | 16.77<br>16.77 |",0]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 |","| Q2 | NaN | NaN | 40100.8 | 20337.06 | 3409.26 |\n| --- | --- | --- | --- | --- | --- |\n| Q3 | NaN | NaN | NaN | 11289.52 | 4986.74 |\n| Q4 | NaN | NaN | NaN | 20473.61 | 9460.20 |\n| Q5 | NaN | NaN | NaN | 12458.17 | 1767.69 |\n| Q7 | NaN | NaN | NaN | 29989.26 | 14556.21 |\n| Q8 | NaN | NaN | NaN | NaN | 6058.42 |\n| Q9 | NaN | NaN | NaN | NaN | 9060.93 |\n| Q10 | NaN | NaN | NaN | NaN | 9007.57 |\n| Q11 | NaN | NaN | NaN | NaN | 36.86 |\n| Q12 | NaN | NaN | NaN | NaN | 1851.97 |",1]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 |","|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | 47.71 | 45.32 | 47.41 | 46.83 | 49.1 |\n| Q2 | 107.05 | 65.95 | 68.29 | 53.16 | 55.93 |\n| Q3 | 620.57 | 498.45 | 312.17 | 195.13 | 135.73 |\n| Q4 | 208.51 | 142.12 | 136.69 | 130.51 | 125.60 |\n| Q5 | 539.37 | 437.27 | 264.13 | 179.18 | 131.98 |\n| Q6 | 220.29 | 133.08 | 108.56 | 77.02 | 67.42 |\n| Q7 | 35.96 | 33.15 | 33.64 | 36.12 | 34.44 |\n| Q9 | 575.29 | 310.14 | 297.75 | 190.08 | 145.75 |\n| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |\n| Q16 | 610.85 | 387.59 | 315.06 | 202.07 | 149.09 |\n| Q17 | NaN | NaN | NaN | NaN | NaN |\n| Q18 | 35.88 | 32.05 | 36.69 | 35.00 | 34.23 |\n| Q19 | 597.83 | 499.11 | 305.14 | 196.61 | 140.85 |\n| Q20 | 607.89 | 336.38 | 316.46 | 194.37 | 140.92 |",0]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 |\n| Q2 | NaN | NaN | 40100.8 | 20337.06 | 3409.26 |\n| Q3 | NaN | NaN | NaN | 11289.52 | 4986.74 |\n| Q4 | NaN | NaN | NaN | 20473.61 | 9460.20 |\n| Q5 | NaN | NaN | NaN | 12458.17 | 1767.69 |\n| Q7 | NaN | NaN | NaN | 29989.26 | 14556.21 |\n| Q8 | NaN | NaN | NaN | NaN | 6058.42 |\n| Q9 | NaN | NaN | NaN | NaN | 9060.93 |","| Q10 | NaN | NaN | NaN | NaN | 9007.57 |\n| --- | --- | --- | --- | --- | --- |\n| Q11 | NaN | NaN | NaN | NaN | 36.86 |\n| Q12 | NaN | NaN | NaN | NaN | 1851.97 |",1]
["|  | 1Node | 2Nodes | 4Nodes | 8Nodes | 16Nodes |\n| --- | --- | --- | --- | --- | --- |\n| Q1 | NaN | NaN | 26696.25 | 11690.29 | 5295.24 |\n| Q2 | NaN | NaN | 40100.8 | 20337.06 | 3409.26 |\n| Q3 | NaN | NaN | NaN | 11289.52 | 4986.74 |\n| Q4 | NaN | NaN | NaN | 20473.61 | 9460.20 |\n| Q5 | NaN | NaN | NaN | 12458.17 | 1767.69 |\n| Q7 | NaN | NaN | NaN | 29989.26 | 14556.21 |\n| Q8 | NaN | NaN | NaN | NaN | 6058.42 |\n| Q9 | NaN | NaN | NaN | NaN | 9060.93 |","| Q10 | 36.68 | 32.03 | 34.04 | 36.00 | 33.91 |\n| --- | --- | --- | --- | --- | --- |\n| Q11 | 580.72 | 412.59 | 300.78 | 183.67 | 138.56 |\n| Q12 | 99.04 | 61.24 | 48.05 | 47.07 | 42.52 |\n| Q13 | 575.09 | 402.15 | 291.11 | 186.86 | 120.88 |\n| Q14 | 47.66 | 45.92 | 48.03 | 46.61 | 47.36 |\n| Q15 | 36.90 | 32.04 | 36.53 | 36.06 | 35.46 |\n| Q16 | 610.85 | 387.59 | 315.06 | 202.07 | 149.09 |\n| Q17 | NaN | NaN | NaN | NaN | NaN |\n| Q18 | 35.88 | 32.05 | 36.69 | 35.00 | 34.23 |\n| Q19 | 597.83 | 499.11 | 305.14 | 196.61 | 140.85 |\n| Q20 | 607.89 | 336.38 | 316.46 | 194.37 | 140.92 |",0]
["| Wittgenstein | Medline |\n| --- | --- |\n| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin |","| SatzderMathematik | wasobservedinthegroups |\n| --- | --- |\n| aberdochsehrwohldenSatz | betweenthoseobtainedwith |\n| it’snonsensetosaythat | isusedforthetreatmentof |\n| wesaythathesees | thetreatmentgroups |\n| einbesondererFall | Thetwogroupswerefoundto |\n| AberhatteeraucheinBild | treatmentofpatientswith |\n| dasgleicheBildzuihrerDarstellung | Wepresenttheresultsobtained |\n| Erkl¨arungderBedeutung | wereobtainedfrompatientsduring |\n| BedeutungdesZeichens | reportedbythepatients |\n| denGebrauchdesWorts | resultsinasigniﬁcantincreasein |",1]
["| Wittgenstein | Medline |\n| --- | --- |\n| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin |","| Topic# | TopWords |\n| --- | --- |\n| 1 | promptingcomplicatedevisceratedpredeterminedlap<br>renegotiatinglooseentitylegalesejustice |\n| 2 | hamstrungairbrushedquasioutsoldfargo<br>ennobledtantalizeirrelevancenoncontroversialuntalented |\n| 3 | scariestpestknowinglycausingﬂub<br>mesmerizedawnedmillenniumecologicalecologist |\n| 4 | reelectionquixoticarthroscopicversatilitycommanded<br>hyperextendedanusprecipitatingunderhandknee |\n| 5 | believesigningballcarrierparallelanomalies<br>munchingproratedunsettlelinebackingbonus |\n| 6 | gainfullysettlesnarratorconsiderablearticles<br>narrativerosierdeviatingprotagonistdeductible |\n| 7 | faithfulbetchacorruptedineptretrench<br>martialedwinstondowdyislamiccorrupting |\n| 8 | capablemisdeeddashboardnavigationopportunistically<br>aerodynamicairbagsystembrakingmph |\n| 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |\n| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |\n| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |\n| 12 | oﬀsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology |\n| 13 | undertakenwilsonianidealismbrethrenwriteoﬀ<br>multipolarhegemonistmultilateralenlargementmutating |\n| 14 | athleticallyﬁctitiousmyermajorleaguebaseballfamiliarizing<br>resurrectslugbackslidesupersedingartistically |\n| 15 | dialogﬁlesdiabolicalliontown<br>passwordlistswisscoldbloodedoutgained |\n| 16 | recessedphasedbutyllowlightbalmy<br>redliningprescriptionmarchedmischaracterizationtertiary |\n| 17 | sponsortelevisesponsorshipfestivalsullied<br>ratiﬁcationinsinuatingwarheadstagedreconstruct |\n| 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineﬀectivenesscoexistedrepentancedivvyingoverexposed |",0]
["| Wittgenstein | Medline |\n| --- | --- |\n| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin |\n| SatzderMathematik | wasobservedinthegroups |\n| aberdochsehrwohldenSatz | betweenthoseobtainedwith |\n| it’snonsensetosaythat | isusedforthetreatmentof |","| wesaythathesees | thetreatmentgroups |\n| --- | --- |\n| einbesondererFall | Thetwogroupswerefoundto |\n| AberhatteeraucheinBild | treatmentofpatientswith |\n| dasgleicheBildzuihrerDarstellung | Wepresenttheresultsobtained |\n| Erkl¨arungderBedeutung | wereobtainedfrompatientsduring |\n| BedeutungdesZeichens | reportedbythepatients |\n| denGebrauchdesWorts | resultsinasigniﬁcantincreasein |",1]
["| Wittgenstein | Medline |\n| --- | --- |\n| k¨onntemanfragen: | abnormalitiessimilartothoseobservedin |\n| SatzderMathematik | wasobservedinthegroups |\n| aberdochsehrwohldenSatz | betweenthoseobtainedwith |\n| it’snonsensetosaythat | isusedforthetreatmentof |","| 9 | apostlesoraclesbelieverdeliberatelyloafer<br>gospelaptmobbedmanipulatedialogue |\n| --- | --- |\n| 10 | physiquejumpingvisualizinghedgehogzeitgeist<br>belongedloomaulingpostproductionplunk |\n| 11 | smirkysillybadnaturedfrat<br>thoughtfulfreakedmoronobtusestink |\n| 12 | oﬀsettingpreparingacknowledgmentagreemisstating<br>litigatorpreventedrevokedpreseasonentomology |\n| 13 | undertakenwilsonianidealismbrethrenwriteoﬀ<br>multipolarhegemonistmultilateralenlargementmutating |\n| 14 | athleticallyﬁctitiousmyermajorleaguebaseballfamiliarizing<br>resurrectslugbackslidesupersedingartistically |\n| 15 | dialogﬁlesdiabolicalliontown<br>passwordlistswisscoldbloodedoutgained |\n| 16 | recessedphasedbutyllowlightbalmy<br>redliningprescriptionmarchedmischaracterizationtertiary |\n| 17 | sponsortelevisesponsorshipfestivalsullied<br>ratiﬁcationinsinuatingwarheadstagedreconstruct |\n| 18 | trespassesbuckledivestmentschoolchildrefuel<br>ineﬀectivenesscoexistedrepentancedivvyingoverexposed |",0]
["| Name | optimized? | area | tokens | components |\n| --- | --- | --- | --- | --- |\n| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |\n| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |\n| Ottawacoursecodes | unoptimized<br>optimized | 520<br>570 | 46<br>36 | 15<br>5 |\n| Palindromes | unoptimized<br>optimized | 583<br>583 | 105<br>105 | 2<br>2 |\n| Nonemptydataﬁles<br>(repetitive) | unoptimized<br>optimized | 182<br>132 | 22<br>11 | 8<br>3 |\n| Nonemptydataﬁles<br>(recursive) | unoptimized<br>optimized | 143<br>130 | 22<br>7 | 7<br>1 |\n| Pascalvariabledeclarations | unoptimized<br>optimized | 156<br>247 | 21<br>12 | 7<br>3 |\n| Pascaltypedeclarations | unoptimized<br>optimized | 475<br>486 | 52<br>30 | 16<br>6 |","| LISP1.5 | unoptimized<br>optimized | 165<br>105 | 19<br>9 | 6<br>1 |\n| --- | --- | --- | --- | --- |\n| JSON | unoptimized<br>optimized | 539<br>651 | 90<br>42 | 15<br>5 |",1]
["| Name | optimized? | area | tokens | components |\n| --- | --- | --- | --- | --- |\n| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |\n| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |\n| Ottawacoursecodes | unoptimized<br>optimized | 520<br>570 | 46<br>36 | 15<br>5 |\n| Palindromes | unoptimized<br>optimized | 583<br>583 | 105<br>105 | 2<br>2 |\n| Nonemptydataﬁles<br>(repetitive) | unoptimized<br>optimized | 182<br>132 | 22<br>11 | 8<br>3 |\n| Nonemptydataﬁles<br>(recursive) | unoptimized<br>optimized | 143<br>130 | 22<br>7 | 7<br>1 |\n| Pascalvariabledeclarations | unoptimized<br>optimized | 156<br>247 | 21<br>12 | 7<br>3 |\n| Pascaltypedeclarations | unoptimized<br>optimized | 475<br>486 | 52<br>30 | 16<br>6 |","| name | AB | FDCS | ABCS | FINDER | FMC |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | #bcktr | #bcktr | #Tbcktr | #bcktr | #Tbcktr | #bcktr | #bcktr |\n| oddeven<br>wickedoe | 4<br>64 | 0<br>0 | 0<br>0 | 0<br>0 | 0<br>0 | 1<br>8 | 3<br>52 |\n| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |\n| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |\n| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",0]
["| Name | optimized? | area | tokens | components |\n| --- | --- | --- | --- | --- |\n| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |\n| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |\n| Ottawacoursecodes | unoptimized<br>optimized | 520<br>570 | 46<br>36 | 15<br>5 |\n| Palindromes | unoptimized<br>optimized | 583<br>583 | 105<br>105 | 2<br>2 |","| Nonemptydataﬁles<br>(repetitive) | unoptimized<br>optimized | 182<br>132 | 22<br>11 | 8<br>3 |\n| --- | --- | --- | --- | --- |\n| Nonemptydataﬁles<br>(recursive) | unoptimized<br>optimized | 143<br>130 | 22<br>7 | 7<br>1 |\n| Pascalvariabledeclarations | unoptimized<br>optimized | 156<br>247 | 21<br>12 | 7<br>3 |\n| Pascaltypedeclarations | unoptimized<br>optimized | 475<br>486 | 52<br>30 | 16<br>6 |\n| LISP1.5 | unoptimized<br>optimized | 165<br>105 | 19<br>9 | 6<br>1 |\n| JSON | unoptimized<br>optimized | 539<br>651 | 90<br>42 | 15<br>5 |",1]
["| Name | optimized? | area | tokens | components |\n| --- | --- | --- | --- | --- |\n| Canadianpostcodes<br>(simple) | unoptimized<br>optimized | 17<br>17 | 6<br>6 | 1<br>1 |\n| Canadianpostcodes<br>(complex) | unoptimized<br>optimized | 693<br>1121 | 69<br>65 | 9<br>5 |\n| Ottawacoursecodes | unoptimized<br>optimized | 520<br>570 | 46<br>36 | 15<br>5 |\n| Palindromes | unoptimized<br>optimized | 583<br>583 | 105<br>105 | 2<br>2 |","| appendlast<br>reverselast<br>nreverselast<br>schedule | 43<br>30<br>190170<br>24 | 24<br>68<br>?<br>13 | 1<br>2<br>?<br>1 | 55<br>303<br>?<br>106 | 1<br>2<br>?<br>1 | 618<br>614<br>7<br>>5.10<br>37 | 110019<br>23445<br>?<br>497 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| multiseto<br>multisetl | 10<br>3 | 7<br>6 | 0<br>1 | 30<br>21 | 0<br>1 | 0<br>12 | 104<br>469 |\n| blockpair2o<br>blockpair3o<br>blockpair2l<br>blockpair3l<br>blocksol | 17<br>56<br>28<br>130<br>3615 | 25<br>25<br>3943<br>4009<br>1396146 | 0<br>0<br>2<br>2<br>385 | 49<br>51<br>2733<br>2737<br>1970544 | 0<br>0<br>2<br>2<br>169 | 262<br>879<br>68<br>366<br>4007523 | 5567<br>?<br>91404<br>?<br>? |\n| BOO019-1 | 72 | 4 | 0 | 34 | 0 | 14 | 33 |",0]
["| Process | Outputlevel | Bins |\n| --- | --- | --- |\n| STFT | spectrogram | 2049 |\n| Linear-LogMapping | log-spectrogram | 252 |","| Tuning | notegram | 252 |\n| --- | --- | --- |\n| NNLS | NNLSnotegram | 84 |\n| Bass-trebleProﬁling | (bass-treble)chromagram | 24 |",1]
["| Process | Outputlevel | Bins |\n| --- | --- | --- |\n| STFT | spectrogram | 2049 |\n| Linear-LogMapping | log-spectrogram | 252 |","| Set<br>Label | Non-Temporal | Temporal |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ROP | Stage1 | Stage2 | Stage1 | Stage2 |  |\n| Instruction-levelEvents |  |  |  |  |  |\n| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 |\n| I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 |\n| I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.820 |\n| MicroarchitecturalEvents |  |  |  |  |  |\n| M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |\n| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |\n| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |\n| BothInstruction-levelandMicroarchitecturalEvents |  |  |  |  |  |\n| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 |\n| AM-1 | 0.678 | 0.916 | 0.781 | 0.995 | 0.823 |\n| AM-2 | 0.504 | 0.864 | 0.848 | 0.993 | 0.919 |",0]
["| Process | Outputlevel | Bins |\n| --- | --- | --- |\n| STFT | spectrogram | 2049 |\n| Linear-LogMapping | log-spectrogram | 252 |\n| Tuning | notegram | 252 |","| NNLS | NNLSnotegram | 84 |\n| --- | --- | --- |\n| Bass-trebleProﬁling | (bass-treble)chromagram | 24 |",1]
["| Process | Outputlevel | Bins |\n| --- | --- | --- |\n| STFT | spectrogram | 2049 |\n| Linear-LogMapping | log-spectrogram | 252 |\n| Tuning | notegram | 252 |","| M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |\n| --- | --- | --- | --- | --- | --- |\n| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |\n| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |\n| BothInstruction-levelandMicroarchitecturalEvents |  |  |  |  |  |\n| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 |\n| AM-1 | 0.678 | 0.916 | 0.781 | 0.995 | 0.823 |\n| AM-2 | 0.504 | 0.864 | 0.848 | 0.993 | 0.919 |",0]
["| meaningsofpunctualadverbials |  |\n| --- | --- |\n| withstate | interjacent |\n| withactivity | inchoativeorinterjacent |\n| withculm.activity | inchoativeorterminal |","| withpoint | speciﬁestimeofinstantaneoussituation |\n| --- | --- |\n| Theresultingaspectualclassispoint. |  |",1]
["| meaningsofpunctualadverbials |  |\n| --- | --- |\n| withstate | interjacent |\n| withactivity | inchoativeorinterjacent |\n| withculm.activity | inchoativeorterminal |","| u | auser |\n| --- | --- |\n| i | asocialmediaitem |\n| Iu | thesetofu’ssocialmediaitems |\n| c | aconcept |\n| C | thesetofconcepts |\n| d | acandidateitem(scientiﬁcpublication) |\n| D | thesetofcandidateitems |\n| t,tid | thetimestampofiandd,respectively |\n| Pu | u’suserproﬁle |\n| Pd | d’sdocumentproﬁle |\n| Φ | aproﬁlingfunction |\n| w | aweightingfunction(notconsideringtemporaldecay) |\n| f | adecayfunction |\n| w | aweightingfunctionthatextendswwithtemporaldecay |\n| σ | asimilarityfunction |",0]
["| meaningsofpunctualadverbials |  |\n| --- | --- |\n| withstate | interjacent |\n| withactivity | inchoativeorinterjacent |","| withculm.activity | inchoativeorterminal |\n| --- | --- |\n| withpoint | speciﬁestimeofinstantaneoussituation |\n| Theresultingaspectualclassispoint. |  |",1]
["| meaningsofpunctualadverbials |  |\n| --- | --- |\n| withstate | interjacent |\n| withactivity | inchoativeorinterjacent |","| d | acandidateitem(scientiﬁcpublication) |\n| --- | --- |\n| D | thesetofcandidateitems |\n| t,tid | thetimestampofiandd,respectively |\n| Pu | u’suserproﬁle |\n| Pd | d’sdocumentproﬁle |\n| Φ | aproﬁlingfunction |\n| w | aweightingfunction(notconsideringtemporaldecay) |\n| f | adecayfunction |\n| w | aweightingfunctionthatextendswwithtemporaldecay |\n| σ | asimilarityfunction |",0]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |\n| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |\n| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |\n| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |\n| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |","| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |\n| --- | --- | --- | --- | --- | --- |\n| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",1]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |\n| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |\n| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |\n| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |\n| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |","| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.369 | 368.298(1.94) | 184.141(3.88) | 92.165(7.76) | 53.453(13.38) |\n| Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |\n| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | 22.403(12.3) |\n| SendMore | 115.183 | 65.271(1.76) | 31.447(3.66) | 16.496(6.98) | 9.686(11.89) |\n| 8-Costas | 66.392 | 34.281(1.93) | 17.192(3.86) | 8.680(7.64) | 5.202(12.76) |\n| 8-Puzzle | 52.945 | 29.601(1.78) | 15.026(3.52) | 7.845(6.74) | 4.754(11.13) |\n| Bart | 25.562 | 15.411(1.65) | 6.868(3.72) | 3.577(7.14) | 2.144(11.93) |\n| Solitaire | 12.912 | 7.598(1.69) | 3.813(3.38) | 2.029(6.36) | 1.335(9.67) |\n| 10-Queens | 7.575 | 3.922(1.93) | 2.087(3.62) | 1.378(5.49) | 1.141(6.63) |\n| Hamilton | 6.895 | 3.879(1.77) | 1.940(3.55) | 1.151(5.99) | 0.761(9.06) |\n| MapColoring | 2.036 | 1.298(1.56) | 0.696(2.92) | 0.479(4.25) | 0.430(4.73) |\n| 8-Queens | 0.306 | 0.198(1.54) | 0.143(2.13) | 0.157(1.94) | 0.149(2.05) |",0]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |\n| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |\n| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |","| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |\n| --- | --- | --- | --- | --- | --- |\n| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |\n| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |\n| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",1]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |\n| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |\n| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |","| Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |\n| --- | --- | --- | --- | --- | --- |\n| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | 22.403(12.3) |\n| SendMore | 115.183 | 65.271(1.76) | 31.447(3.66) | 16.496(6.98) | 9.686(11.89) |\n| 8-Costas | 66.392 | 34.281(1.93) | 17.192(3.86) | 8.680(7.64) | 5.202(12.76) |\n| 8-Puzzle | 52.945 | 29.601(1.78) | 15.026(3.52) | 7.845(6.74) | 4.754(11.13) |\n| Bart | 25.562 | 15.411(1.65) | 6.868(3.72) | 3.577(7.14) | 2.144(11.93) |\n| Solitaire | 12.912 | 7.598(1.69) | 3.813(3.38) | 2.029(6.36) | 1.335(9.67) |\n| 10-Queens | 7.575 | 3.922(1.93) | 2.087(3.62) | 1.378(5.49) | 1.141(6.63) |\n| Hamilton | 6.895 | 3.879(1.77) | 1.940(3.55) | 1.151(5.99) | 0.761(9.06) |\n| MapColoring | 2.036 | 1.298(1.56) | 0.696(2.92) | 0.479(4.25) | 0.430(4.73) |\n| 8-Queens | 0.306 | 0.198(1.54) | 0.143(2.13) | 0.157(1.94) | 0.149(2.05) |",0]
["| ∆t | BaselineI | BaselineII | BaselineIII |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |  |\n| 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |\n| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) |","| 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.690(0.026) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | 0.543(0.008) | 0.588(0.015) | 0.646(0.009) | 0.639(0.002) | 0.684(0.002) | 0.643(0.001) |\n| 11 | 0.591(0.015) | 0.544(0.002) | 0.633(0.010) | 0.542(0.006) | 0.675(0.008) | 0.582(0.021) |",1]
["| ∆t | BaselineI | BaselineII | BaselineIII |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |  |\n| 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |\n| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) |","| ∆T | δ=1 | δ=2 | δ=3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |  |\n| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |\n| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |\n| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 |",0]
["| ∆t | BaselineI | BaselineII | BaselineIII |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |","| 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) |\n| 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.690(0.026) |\n| 9 | 0.543(0.008) | 0.588(0.015) | 0.646(0.009) | 0.639(0.002) | 0.684(0.002) | 0.643(0.001) |\n| 11 | 0.591(0.015) | 0.544(0.002) | 0.633(0.010) | 0.542(0.006) | 0.675(0.008) | 0.582(0.021) |",1]
["| ∆t | BaselineI | BaselineII | BaselineIII |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |","| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |\n| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 |",0]
["| Domain | TrainingData |  |  |\n| --- | --- | --- | --- |\n| DImageNet | EVT | E∪DVTImageNet |  |\n| Dog | 65.80 | 67.56 | 70.22 |","| Bird | 82.00 | 86.24 | 86.41 |\n| --- | --- | --- | --- |\n| Wheeled | 68.95 | 72.20 | 74.59 |\n| Structure | 66.07 | 69.90 | 72.41 |",1]
["| Domain | TrainingData |  |  |\n| --- | --- | --- | --- |\n| DImageNet | EVT | E∪DVTImageNet |  |\n| Dog | 65.80 | 67.56 | 70.22 |","| Domain | #Trainingsample |\n| --- | --- |\n| Amazon | 20 |\n| DSLR | 8 |\n| Virtual(-Gray) | 30 |\n| ImageNet | 150-2000 |",0]
["| Domain | TrainingData |  |\n| --- | --- | --- |\n| DImageNet | EVT | E∪DVTImageNet |","| Dog | 65.80 | 67.56 | 70.22 |\n| --- | --- | --- | --- |\n| Bird | 82.00 | 86.24 | 86.41 |\n| Wheeled | 68.95 | 72.20 | 74.59 |\n| Structure | 66.07 | 69.90 | 72.41 |",1]
["| Domain | TrainingData |  |\n| --- | --- | --- |\n| DImageNet | EVT | E∪DVTImageNet |","| DSLR | 8 |\n| --- | --- |\n| Virtual(-Gray) | 30 |\n| ImageNet | 150-2000 |",0]
["| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |\n| --- | --- | --- |\n| Yeast | 32.5 | 30.3 |\n| SN12C | 25.8 | 23.7 |","| P388 | 11.7 | 10.2 |\n| --- | --- | --- |\n| NCI-H23 | 23.5 | 22 |\n| OVCAR-8 | 24.9 | 23.4 |\n| Synthetic | 22.9 | 17.1 |",1]
["| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |\n| --- | --- | --- |\n| Yeast | 32.5 | 30.3 |\n| SN12C | 25.8 | 23.7 |","| Graph<br>G=(V,E) | n=<br>\\|V\\| | m=<br>\\|E\\| | diameter<br>diam(G) | radius<br>rad(G) |\n| --- | --- | --- | --- | --- |\n| PPI | 1458 | 1948 | 19 | 11 |\n| Yeast | 2224 | 6609 | 11 | 6 |\n| DutchElite | 3621 | 4311 | 22 | 12 |\n| EPA | 4253 | 8953 | 10 | 6 |\n| EVA | 4475 | 4664 | 18 | 10 |\n| California | 5925 | 15770 | 13 | 7 |\n| Erd¨os | 6927 | 11850 | 4 | 2 |\n| Routeview | 10515 | 21455 | 10 | 5 |\n| Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |\n| ASCaida20071105 | 26475 | 53381 | 17 | 9 |\n| Dimes3/2010 | 26424 | 90267 | 8 | 4 |\n| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |\n| ASCaida20120601 | 41203 | 121309 | 10 | 5 |\n| itdk0304 | 190914 | 607610 | 26 | 14 |\n| DBLB-coauth | 317080 | 1049866 | 23 | 12 |\n| Amazon | 334863 | 925872 | 47 | 24 |",0]
["| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |\n| --- | --- | --- |\n| Yeast | 32.5 | 30.3 |\n| SN12C | 25.8 | 23.7 |\n| P388 | 11.7 | 10.2 |","| NCI-H23 | 23.5 | 22 |\n| --- | --- | --- |\n| OVCAR-8 | 24.9 | 23.4 |\n| Synthetic | 22.9 | 17.1 |",1]
["| Transaction<br>Graphdataset | Scheme1<br>(runtimeinmin) | Scheme2<br>(runtimeinmin) |\n| --- | --- | --- |\n| Yeast | 32.5 | 30.3 |\n| SN12C | 25.8 | 23.7 |\n| P388 | 11.7 | 10.2 |","| Homorelease3.2.99 | 16711 | 115406 | 10 | 5 |\n| --- | --- | --- | --- | --- |\n| ASCaida20071105 | 26475 | 53381 | 17 | 9 |\n| Dimes3/2010 | 26424 | 90267 | 8 | 4 |\n| Aqualab12/2007-09/2008 | 31845 | 143383 | 9 | 5 |\n| ASCaida20120601 | 41203 | 121309 | 10 | 5 |\n| itdk0304 | 190914 | 607610 | 26 | 14 |\n| DBLB-coauth | 317080 | 1049866 | 23 | 12 |\n| Amazon | 334863 | 925872 | 47 | 24 |",0]
["| #ofPieces | RunTime |\n| --- | --- |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |","| 805 | 116.18[sec] |\n| --- | --- |\n| 2,360 | 17.60[min] |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |\n| 10,375 | 3.21[hr] |\n| 22,834 | 13.19[hr] |",1]
["| #ofPieces | RunTime |\n| --- | --- |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |","| #ofPieces | RunTime |\n| --- | --- |\n| Single-Threaded |  |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |\n| 805 | 116.18[sec] |\n| 2,360 | 17.60[min] |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |\n| 10,375 | 3.21[hr] |\n| 22,755 | 13.19[hr] |\n| Multi-Threaded |  |\n| 22,755 | 3.43[hr] |\n| 30,745 | 6.51[hr] |",0]
["| #ofPieces | RunTime |\n| --- | --- |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |\n| 805 | 116.18[sec] |\n| 2,360 | 17.60[min] |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |","| 10,375 | 3.21[hr] |\n| --- | --- |\n| 22,834 | 13.19[hr] |",1]
["| #ofPieces | RunTime |\n| --- | --- |\n| 432 | 48.73[sec] |\n| 540 | 64.06[sec] |\n| 805 | 116.18[sec] |\n| 2,360 | 17.60[min] |\n| 3,300 | 30.24[min] |\n| 5,015 | 61.06[min] |","| 22,755 | 3.43[hr] |\n| --- | --- |\n| 30,745 | 6.51[hr] |",0]
["| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |\n| --- | --- | --- | --- | --- |\n| 6 | 154 | 46 | 167 | 33 |\n| 8 | 154 | 46 | 168 | 32 |\n| 10 | 153 | 47 | 168 | 32 |","| 12 | 150 | 50 | 169 | 31 |\n| --- | --- | --- | --- | --- |\n| 14 | 150 | 50 | 169 | 31 |\n| 16 | 148 | 52 | 168 | 32 |\n| 18 | 145 | 55 | 167 | 33 |\n| 20 | 146 | 54 | 167 | 33 |",1]
["| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |\n| --- | --- | --- | --- | --- |\n| 6 | 154 | 46 | 167 | 33 |\n| 8 | 154 | 46 | 168 | 32 |\n| 10 | 153 | 47 | 168 | 32 |","| Ground<br>truth | TIFFS |  |  |\n| --- | --- | --- | --- |\n| Extract | Match | Extract |  |\n| 352 | 358 | 181 | 351 |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |\n| 92 | 58 | 42 | 62 |\n| 1565 | 1074 | 681 | 1060 |",0]
["| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |\n| --- | --- | --- | --- | --- |\n| 6 | 154 | 46 | 167 | 33 |","| 8 | 154 | 46 | 168 | 32 |\n| --- | --- | --- | --- | --- |\n| 10 | 153 | 47 | 168 | 32 |\n| 12 | 150 | 50 | 169 | 31 |\n| 14 | 150 | 50 | 169 | 31 |\n| 16 | 148 | 52 | 168 | 32 |\n| 18 | 145 | 55 | 167 | 33 |\n| 20 | 146 | 54 | 167 | 33 |",1]
["| h | True<br>Positives<br>Basic | FalsePositives<br>(FalseDrops)<br>Basic | True<br>Positives<br>Full | FalsePositives<br>(FalseDrops)<br>Full |\n| --- | --- | --- | --- | --- |\n| 6 | 154 | 46 | 167 | 33 |","| 352 | 358 | 181 | 351 |\n| --- | --- | --- | --- |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |\n| 92 | 58 | 42 | 62 |\n| 1565 | 1074 | 681 | 1060 |",0]
["|  | Bit | CNT2 | CNT1 |\n| --- | --- | --- | --- |\n| Conv-FF | 16 | H,WKK | W×HKK |\n| Conv-BP | 32 | H,WKK | W×HKK |","| Conv-UP | 32 | P,L | L |\n| --- | --- | --- | --- |\n| FC-FF | 16 | P,L | L |\n| FC-BP | 32 | P,L | L |\n| FC-UP | 32 | h | 1 |",1]
["|  | Bit | CNT2 | CNT1 |\n| --- | --- | --- | --- |\n| Conv-FF | 16 | H,WKK | W×HKK |\n| Conv-BP | 32 | H,WKK | W×HKK |","| ConvEncoder | ConvDecoder |  |  |\n| --- | --- | --- | --- |\n| OutputSize | Operation | Outputsize | Operation |\n| 32×32×32 | 4×4Conv(32) | 4×4×256 | 4×4ConvT(256) |\n| 16×16×64 | 4×4Conv(64) | 4×4×128 | 4×4ConvT(128) |\n| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["|  | Bit | CNT2 | CNT1 |\n| --- | --- | --- | --- |\n| Conv-FF | 16 | H,WKK | W×HKK |\n| Conv-BP | 32 | H,WKK | W×HKK |","| Conv-UP | 32 | P,L | L |\n| --- | --- | --- | --- |\n| FC-FF | 16 | P,L | L |\n| FC-BP | 32 | P,L | L |\n| FC-UP | 32 | h | 1 |",1]
["|  | Bit | CNT2 | CNT1 |\n| --- | --- | --- | --- |\n| Conv-FF | 16 | H,WKK | W×HKK |\n| Conv-BP | 32 | H,WKK | W×HKK |","| 8×8×128 | 4×4Conv(128) | 4×4×64 | 4×4ConvT(64) |\n| --- | --- | --- | --- |\n| 4×4×256 | 4×4Conv(256) | 4×4×32 | 4×4ConvT(32) |\n| Nz | 4×4Conv()Nz | 4×4×32 | 4×4ConvT(32) |\n|  |  | 4×4×Nc | 4×4ConvT()Nc |",0]
["| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 |","| RNNSearch(16K) | 34.96 | 32.19 | 33.85 | 30.79 | 30.32 | 22.13 | 29.86 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RNNSearch(30K) | 36.04 | 33.96 | 35.82 | 33.05 | 31.88 | 23.61 | 31.66 |\n| phraseNet(16K)gate | 37.68 | 36.01 | 37.69 | 34.61 | 32.70 | 25.52 | 33.31 |\n| phraseNet(16K)softmax | 36.60 | 34.07 | 35.93 | 33.37 | 31.96 | 24.62 | 31.99 |",1]
["| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 |","| Model | Token<br>Sim. | Rouge1 | Rouge2 | Rouge<br>-LCS | BLEU | Topic<br>Sim. |\n| --- | --- | --- | --- | --- | --- | --- |\n| Targetsnippetlength=5sentence |  |  |  |  |  |  |\n| Fuzzy | 0.28 | 0.37 | 0.28 | 0.21 | 0.30 | 0.03 |\n| V-RNN | 0.33 | 0.41 | 0.61 | 0.28 | 0.29 | 0.03 |\n| C-RNN | 0.40 | 0.52 | 0.40 | 0.31 | 0.41 | 0.04 |\n| CNN-RNN | 0.32 | 0.43 | 0.29 | 0.26 | 0.36 | 0.04 |\n| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 |","| RNNSearch(16K) | 34.96 | 32.19 | 33.85 | 30.79 | 30.32 | 22.13 | 29.86 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RNNSearch(30K) | 36.04 | 33.96 | 35.82 | 33.05 | 31.88 | 23.61 | 31.66 |\n| phraseNet(16K)gate | 37.68 | 36.01 | 37.69 | 34.61 | 32.70 | 25.52 | 33.31 |\n| phraseNet(16K)softmax | 36.60 | 34.07 | 35.93 | 33.37 | 31.96 | 24.62 | 31.99 |",1]
["| Models | NIST02 | NIST03 | NIST04 | NIST05 | NIST06 | NIST08 | Ave. |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Moses | 33.41 | 31.61 | 33.48 | 30.75 | 31.07 | 23.37 | 30.06 |","| A-RNN | 0.31 | 0.36 | 0.29 | 0.33 | 0.37 | 0.03 |\n| --- | --- | --- | --- | --- | --- | --- |\n| AC-RNN | 0.36 | 0.45 | 0.31 | 0.28 | 0.37 | 0.04 |\n| NB | 0.31 | 0.40 | 0.42 | 0.28 | 0.18 | 0.03 |\n| SVM | 0.32 | 0.40 | 0.38 | 0.29 | 0.25 | 0.03 |\n| LSA | 0.30 | 0.41 | 0.40 | 0.28 | 0.21 | 0.03 |\n| LexRank | 0.30 | 0.40 | 0.30 | 0.28 | 0.28 | 0.03 |\n| TextRank | 0.31 | 0.43 | 0.39 | 0.27 | 0.31 | 0.03 |",0]
["| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |\n| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |","| 13 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 14 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |",1]
["| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |\n| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |","| t,T | at | bt | pA,t | PA,t |\n| --- | --- | --- | --- | --- |\n| 0,1 | 0.080 | 0 | 0.500 | 0.722 |\n| 5,2 | 0 | 0.117 | 0.722 | 0.839 |\n| 10,3 | 0 | 0.261 | 0839 | 0.564 |\n| 15,4 | 0 | 0.055 | 0.564 | 0.712 |\n| 20,5 | 0 | 0.077 | 0.712 | 0.903 |\n| 25,6 | 0 | 0.154 | 0.903 | 0.803 |\n| 30,7 | 0 | 0.251 | 0.803 | 0.576 |\n| 35,8 | 0 | 0.108 | 0.576 | 0.590 |\n| 40,9 | 0 | 0.176 | 0.590 | 0.437 |\n| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",0]
["| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |\n| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |","| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 13 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 14 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |",1]
["| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |\n| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |","| 30,7 | 0 | 0.251 | 0.803 | 0.576 |\n| --- | --- | --- | --- | --- |\n| 35,8 | 0 | 0.108 | 0.576 | 0.590 |\n| 40,9 | 0 | 0.176 | 0.590 | 0.437 |\n| 45,10 | 0.1397 | 0 | 0.437 | 0.568 |\n| 50,11 | 0 | 0.152 | 0.568 | 0.419 |\n| 55,12 | 00746 | 0 | 0.419 | 0.283 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Trends | q(y\\|x) | total | avg | std |\n| --- | --- | --- | --- | --- |\n| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 |","| Sampled | Brownian<br>Illusion<br>Reservoir | 316<br>347<br>254 | 31.60<br>34.70<br>25.40 | 5.44<br>4.62<br>2.45 |\n| --- | --- | --- | --- | --- |\n| Duplicated | Brownian<br>Illusion<br>Reservoir | 188<br>188<br>264 | 18.80<br>18.80<br>26.40 | 3.08<br>3.04<br>2.91 |\n| Followers | Brownian<br>Illusion<br>Reservoir | 71574<br>80522<br>73006 | 7157.4<br>8052.2<br>7300.6 | 1696.6<br>2654.8<br>1582 |",1]
["| Trends | q(y\\|x) | total | avg | std |\n| --- | --- | --- | --- | --- |\n| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 |","| Dataset | CIFAR-10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(a)<br>FReLU(a)<br>ELU(c)<br>FReLU(b) | 8.12(0.18)<br>8.04(0.08)<br>8.10(0.18)<br>8.28(0.09)<br>8.00(0.14) | 7.28(0.19)<br>7.62(0.21)<br>7.30(0.17)<br>7.07(0.17)<br>6.99(0.11) | 6.97(0.24)<br>7.51(0.22)<br>6.91(0.25)<br>6.78(0.10)<br>6.58(0.19) | 6.87(0.54)<br>7.71(0.26)<br>6.54(0.22)<br>6.54(0.20)<br>6.31(0.20) | 6.82(0.63)<br>8.21(0.21)<br>6.20(0.23)<br>5.86(0.14)<br>5.71(0.19) |\n| Dataset | CIFAR-100 |  |  |  |  |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) |",0]
["| Trends | q(y\\|x) | total | avg | std |\n| --- | --- | --- | --- | --- |\n| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 |","| Sampled | Brownian<br>Illusion<br>Reservoir | 316<br>347<br>254 | 31.60<br>34.70<br>25.40 | 5.44<br>4.62<br>2.45 |\n| --- | --- | --- | --- | --- |\n| Duplicated | Brownian<br>Illusion<br>Reservoir | 188<br>188<br>264 | 18.80<br>18.80<br>26.40 | 3.08<br>3.04<br>2.91 |\n| Followers | Brownian<br>Illusion<br>Reservoir | 71574<br>80522<br>73006 | 7157.4<br>8052.2<br>7300.6 | 1696.6<br>2654.8<br>1582 |",1]
["| Trends | q(y\\|x) | total | avg | std |\n| --- | --- | --- | --- | --- |\n| Filtered | Brownian<br>Illusion<br>Reservoir | 504<br>535<br>518 | 50.4<br>53.5<br>51.8 | 8.16<br>7.59<br>4.07 |","| Dataset | CIFAR-100 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Masktype | Adiron | Jadepl | Motor | Piano |\n| --- | --- | --- | --- | --- |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 |\n| Masktype | Playt | Playrm | Recyc | Shelvs |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 22.8384<br>23.2150<br>24.3513<br>24.4886 | 17.7783<br>18.0073<br>18.6153<br>18.7681 | 23.5558<br>23.9033<br>24.7019<br>24.8112 | 14.9259<br>15.3300<br>16.1661<br>16.2910 |\n| Masktype | Teddy | Pipes | Vintge | MotorE |\n| Method | rand | rand | rand | rand |","| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.5329<br>20.0866<br>20.7570<br>20.8839 | 22.1899<br>22.9039<br>23.4278<br>23.6760 | 22.7924<br>23.2368<br>24.0400<br>24.2091 | 22.3541<br>23.2859<br>23.1577<br>23.3850 |\n| --- | --- | --- | --- | --- |\n| Masktype | PianoL | PlaytP | adi | ted |\n| Method | rand | rand | text | text |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.8488<br>20.1330<br>21.3011<br>21.4553 | 23.9959<br>23.2150<br>25.6337<br>25.8008 | 28.2444<br>28.3886<br>28.9347<br>29.2523 | 16.359<br>16.9535<br>17.0616<br>17.1101 |",1]
["| Masktype | Adiron | Jadepl | Motor | Piano |\n| --- | --- | --- | --- | --- |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 |\n| Masktype | Playt | Playrm | Recyc | Shelvs |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 22.8384<br>23.2150<br>24.3513<br>24.4886 | 17.7783<br>18.0073<br>18.6153<br>18.7681 | 23.5558<br>23.9033<br>24.7019<br>24.8112 | 14.9259<br>15.3300<br>16.1661<br>16.2910 |\n| Masktype | Teddy | Pipes | Vintge | MotorE |\n| Method | rand | rand | rand | rand |","| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |\n| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |\n| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["| Masktype | Adiron | Jadepl | Motor | Piano |\n| --- | --- | --- | --- | --- |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 |","| Masktype | Playt | Playrm | Recyc | Shelvs |\n| --- | --- | --- | --- | --- |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 22.8384<br>23.2150<br>24.3513<br>24.4886 | 17.7783<br>18.0073<br>18.6153<br>18.7681 | 23.5558<br>23.9033<br>24.7019<br>24.8112 | 14.9259<br>15.3300<br>16.1661<br>16.2910 |\n| Masktype | Teddy | Pipes | Vintge | MotorE |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.5329<br>20.0866<br>20.7570<br>20.8839 | 22.1899<br>22.9039<br>23.4278<br>23.6760 | 22.7924<br>23.2368<br>24.0400<br>24.2091 | 22.3541<br>23.2859<br>23.1577<br>23.3850 |\n| Masktype | PianoL | PlaytP | adi | ted |\n| Method | rand | rand | text | text |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 19.8488<br>20.1330<br>21.3011<br>21.4553 | 23.9959<br>23.2150<br>25.6337<br>25.8008 | 28.2444<br>28.3886<br>28.9347<br>29.2523 | 16.359<br>16.9535<br>17.0616<br>17.1101 |",1]
["| Masktype | Adiron | Jadepl | Motor | Piano |\n| --- | --- | --- | --- | --- |\n| Method | rand | rand | rand | rand |\n| LR<br>LRTV<br>LRL0<br>ψ<br>LRL0 | 27.7596<br>28.1319<br>28.6198<br>28.8292 | 21.9843<br>22.8231<br>22.7730<br>22.8725 | 22.0838<br>22.7546<br>22.9303<br>23.1480 | 18.2673<br>18.5161<br>19.5263<br>19.6801 |","| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["| Application | ApplicationType | CloudUsagePattern |\n| --- | --- | --- |\n| Facebook | Socialnetworking | nps.e |","| Go!Animate | Userdataprocessing | i.s.e |\n| --- | --- | --- |\n| EasyJet | CRM/PRM | ip.s.e |\n| SalesForce.com | CRM/PRM | ps.e |\n| Zynga | Onlinegamingandmeta-gaming | (i.)(i)s.e |",1]
["| Application | ApplicationType | CloudUsagePattern |\n| --- | --- | --- |\n| Facebook | Socialnetworking | nps.e |","| CloudSim[24] | GreenCloud[9] | iCanCloud[3] |\n| --- | --- | --- |\n| any | NS2 | OMNET,MPI |\n| Java | C++/OTcl | C++ |\n| OpenSource | OpenSource | OpenSource |\n| Limited(ViaCloudAnalyst) | N | N |\n| N | Limited(ViaPlug-in) | Y |\n| N | N | Y |\n| N | N | Y |\n| Y | Y | N |\n| Y | N | N |\n| Seconds | Tensofminutes | seconds |\n| small | large | medium |",0]
["| Application | ApplicationType | CloudUsagePattern |\n| --- | --- | --- |\n| Facebook | Socialnetworking | nps.e |\n| Go!Animate | Userdataprocessing | i.s.e |","| EasyJet | CRM/PRM | ip.s.e |\n| --- | --- | --- |\n| SalesForce.com | CRM/PRM | ps.e |\n| Zynga | Onlinegamingandmeta-gaming | (i.)(i)s.e |",1]
["| Application | ApplicationType | CloudUsagePattern |\n| --- | --- | --- |\n| Facebook | Socialnetworking | nps.e |\n| Go!Animate | Userdataprocessing | i.s.e |","| Y | N | N |\n| --- | --- | --- |\n| Seconds | Tensofminutes | seconds |\n| small | large | medium |",0]
["| Data(hrs) | AM | LM | SWB | CH |\n| --- | --- | --- | --- | --- |\n| 300 | A2W | - | 20.8 | 30.4 |","| 300 | PhoneCTC | Small | 14.5 | 25.1 |\n| --- | --- | --- | --- | --- |\n| 2000 | A2W | - | 13.0 | 18.8 |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",1]
["| Data(hrs) | AM | LM | SWB | CH |\n| --- | --- | --- | --- | --- |\n| 300 | A2W | - | 20.8 | 30.4 |","| Dataset | DDER | CoR | RLMS | Ours |\n| --- | --- | --- | --- | --- |\n| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |\n| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |\n| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |\n| my01 | 5.61 | 2.79 | 4.35 | 2.89 |\n| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |\n| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |\n| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |\n| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",0]
["| Data(hrs) | AM | LM | SWB | CH |\n| --- | --- | --- | --- | --- |\n| 300 | A2W | - | 20.8 | 30.4 |\n| 300 | PhoneCTC | Small | 14.5 | 25.1 |","| 2000 | A2W | - | 13.0 | 18.8 |\n| --- | --- | --- | --- | --- |\n| 2000 | PhoneCTC | Big | 9.6 | 16.0 |",1]
["| Data(hrs) | AM | LM | SWB | CH |\n| --- | --- | --- | --- | --- |\n| 300 | A2W | - | 20.8 | 30.4 |\n| 300 | PhoneCTC | Small | 14.5 | 25.1 |","| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |\n| --- | --- | --- | --- | --- |\n| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",0]
["| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |\n| --- | --- | --- | --- |\n| Metarooms | 0.069 | 0.247 | 0.316 |","| Metarooms+peoplerejection | 0.111 | 0.322 | 0.415 |\n| --- | --- | --- | --- |\n| Proposedmethod | 0.202 | 0.204 | 0.339 |\n| Proposedmethod+peoplerejection | 0.249 | 0.269 | 0.395 |",1]
["| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |\n| --- | --- | --- | --- |\n| Metarooms | 0.069 | 0.247 | 0.316 |","| Algorithm | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Proposedalgorithm | −0.0014 | 0.0025 | 0.0051 |\n| Ref. | 0.002 | 0.0062 | 0.0066 |\n| Ref. | −0.0069 | −0.0188 | −0.0482 |\n| Ref. | −0.0274 | 0.0046 | −0.0038 |\n| Ref. | 0.319 | 0.3314 | 0.0149 |\n| Ref. | −0.0016 | −0.0033 | 0.0130 |\n| Ref. | −0.0226 | 0.0041 | 0.0368 |",0]
["| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |\n| --- | --- | --- | --- |\n| Metarooms | 0.069 | 0.247 | 0.316 |\n| Metarooms+peoplerejection | 0.111 | 0.322 | 0.415 |","| Proposedmethod | 0.202 | 0.204 | 0.339 |\n| --- | --- | --- | --- |\n| Proposedmethod+peoplerejection | 0.249 | 0.269 | 0.395 |",1]
["| Algorithm | overlap≥0.9 | 0.9>overlap≥0.5 | 0.5>overlap |\n| --- | --- | --- | --- |\n| Metarooms | 0.069 | 0.247 | 0.316 |\n| Metarooms+peoplerejection | 0.111 | 0.322 | 0.415 |","| Ref. | 0.002 | 0.0062 | 0.0066 |\n| --- | --- | --- | --- |\n| Ref. | −0.0069 | −0.0188 | −0.0482 |\n| Ref. | −0.0274 | 0.0046 | −0.0038 |\n| Ref. | 0.319 | 0.3314 | 0.0149 |\n| Ref. | −0.0016 | −0.0033 | 0.0130 |\n| Ref. | −0.0226 | 0.0041 | 0.0368 |",0]
["| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 |","| Rene-Levesque | 0.812 | 0.855 | 0.612 | 0.654 |\n| --- | --- | --- | --- | --- |\n| Rouen | 0.734 | 0.834 | 0.724 | 0.823 |\n| St-Marc | 0.684 | 0.754 | 0.415 | 0.458 |",1]
["| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 |","|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |\n| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 |","| Rene-Levesque | 0.812 | 0.855 | 0.612 | 0.654 |\n| --- | --- | --- | --- | --- |\n| Rouen | 0.734 | 0.834 | 0.724 | 0.823 |\n| St-Marc | 0.684 | 0.754 | 0.415 | 0.458 |",1]
["| Dataset | Recall(ViBe) | Recall(Ours) | Precision(ViBe) | Precision(Ours) |\n| --- | --- | --- | --- | --- |\n| Sherbrooke | 0.606 | 0.752 | 0.681 | 0.739 |","| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["| Dataset | SourceC/RRowsFeatures |\n| --- | --- |\n| HiggsBoson | UCIrvineC5000028 |\n| AmazonEmployee | KaggleC327699 |\n| PimaIndian | UCIrvineC7688 |\n| SpectF | UCIrvineC26744 |\n| SVMGuide3 | LibSVMC124321 |\n| GermanCredit | UCIrvineC100124 |\n| BikeshareDC | KaggleR1088611 |","| HousingBoston | UCIrvineR50613 |\n| --- | --- |\n| Airfoil | UCIrvineR15035 |\n| AP-omentum-ovary | OpenMLC27510936 |\n| Lymphography | UCIrvineC14818 |\n| Ionosphere | UCIrvineC35134 |\n| Openml618 | OpenMLR100050 |\n| Openml589 | OpenMLR100025 |\n| Openml616 | OpenMLR50050 |\n| Openml607 | OpenMLR100050 |\n| Openml620 | OpenMLR100025 |\n| Openml637 | OpenMLR50050 |\n| Openml586 | OpenMLR100025 |\n| CreditDefault | UCIrvineC3000025 |\n| Messidorfeatures | UCIrvineC115019 |\n| WineQualityRed | UCIrvineC99912 |\n| WineQualityWhite | UCIrvineC490012 |\n| SpamBase | UCIrvineC460157 |",1]
["| Dataset | SourceC/RRowsFeatures |\n| --- | --- |\n| HiggsBoson | UCIrvineC5000028 |\n| AmazonEmployee | KaggleC327699 |\n| PimaIndian | UCIrvineC7688 |\n| SpectF | UCIrvineC26744 |\n| SVMGuide3 | LibSVMC124321 |\n| GermanCredit | UCIrvineC100124 |\n| BikeshareDC | KaggleR1088611 |","| DataSet | #classes | #instances | #dim. |\n| --- | --- | --- | --- |\n| Wdbc | 2 | 569 | 31 |\n| Ionosphere | 2 | 351 | 34 |\n| Spectf | 2 | 267 | 44 |\n| Spambase | 2 | 4,601 | 57 |\n| Colon | 2 | 62 | 2,000 |\n| Prostate | 2 | 102 | 6,033 |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",0]
["| Dataset | SourceC/RRowsFeatures |\n| --- | --- |\n| HiggsBoson | UCIrvineC5000028 |\n| AmazonEmployee | KaggleC327699 |\n| PimaIndian | UCIrvineC7688 |\n| SpectF | UCIrvineC26744 |\n| SVMGuide3 | LibSVMC124321 |\n| GermanCredit | UCIrvineC100124 |\n| BikeshareDC | KaggleR1088611 |","| HousingBoston | UCIrvineR50613 |\n| --- | --- |\n| Airfoil | UCIrvineR15035 |\n| AP-omentum-ovary | OpenMLC27510936 |\n| Lymphography | UCIrvineC14818 |\n| Ionosphere | UCIrvineC35134 |\n| Openml618 | OpenMLR100050 |\n| Openml589 | OpenMLR100025 |\n| Openml616 | OpenMLR50050 |\n| Openml607 | OpenMLR100050 |\n| Openml620 | OpenMLR100025 |\n| Openml637 | OpenMLR50050 |\n| Openml586 | OpenMLR100025 |\n| CreditDefault | UCIrvineC3000025 |\n| Messidorfeatures | UCIrvineC115019 |\n| WineQualityRed | UCIrvineC99912 |\n| WineQualityWhite | UCIrvineC490012 |\n| SpamBase | UCIrvineC460157 |",1]
["| Dataset | SourceC/RRowsFeatures |\n| --- | --- |\n| HiggsBoson | UCIrvineC5000028 |\n| AmazonEmployee | KaggleC327699 |\n| PimaIndian | UCIrvineC7688 |\n| SpectF | UCIrvineC26744 |\n| SVMGuide3 | LibSVMC124321 |\n| GermanCredit | UCIrvineC100124 |\n| BikeshareDC | KaggleR1088611 |","| Prostate | 2 | 102 | 6,033 |\n| --- | --- | --- | --- |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",0]
["| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |\n| --- | --- | --- | --- | --- |\n| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |\n| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 |","| Fusionmethodsin<br>comparison. | AnotherlayerofRVM/SVR<br>Takingthemax<br>Takingthemin<br>Takingthemean | 3.30(2.50)<br>11.92(0.67)<br>4.02(0.18)<br>7.08(0.09) | 4.14(1.25)<br>12.72(0.61)<br>4.23(0.06)<br>4.81(0.12) | 3.35(1.02)<br>2.85(0.16)<br>9.04(1.84)<br>3.40(0.19) |\n| --- | --- | --- | --- | --- |\n| Directbag-levellabel<br>prediction. | ClusterMIR<br>AggregateMIR<br>RFC-MIR | 10.17(0.00)<br>10.05(0.00)<br>16.57(0.00) | 11.19(0.00)<br>11.19(0.00)<br>15.63(0.00) | 8.09(0.00)<br>6.87(0.00)<br>6.55(0.00) |",1]
["| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |\n| --- | --- | --- | --- | --- |\n| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |\n| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 |","|  | SVMSVM(RR)SVM(SDB)SVM(RM)LFR |\n| --- | --- |\n| labelerror<br>bias<br>RRB | 0.1471(5.7e-17)0.2007(0.002)0.1869(0.004)0.1740(0.003)0.2299<br>0.1689(5.7e-17)0.0050(0.003)0.0036(0.009)0.0795(0.010)0.0020<br>0.2702(0.014)0.2926(0.004)0.3172(0.025)0.2545(0.007)n/a |\n|  | LRLR(RR)LR(SDB)LR(RM)DADT |\n| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) |",0]
["| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |\n| --- | --- | --- | --- | --- |\n| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |\n| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 |","| Fusionmethodsin<br>comparison. | AnotherlayerofRVM/SVR<br>Takingthemax<br>Takingthemin<br>Takingthemean | 3.30(2.50)<br>11.92(0.67)<br>4.02(0.18)<br>7.08(0.09) | 4.14(1.25)<br>12.72(0.61)<br>4.23(0.06)<br>4.81(0.12) | 3.35(1.02)<br>2.85(0.16)<br>9.04(1.84)<br>3.40(0.19) |\n| --- | --- | --- | --- | --- |\n| Directbag-levellabel<br>prediction. | ClusterMIR<br>AggregateMIR<br>RFC-MIR | 10.17(0.00)<br>10.05(0.00)<br>16.57(0.00) | 11.19(0.00)<br>11.19(0.00)<br>15.63(0.00) | 8.09(0.00)<br>6.87(0.00)<br>6.55(0.00) |",1]
["| Notes | RegressionMethods | WheatCA | CornCA | WheatKS |\n| --- | --- | --- | --- | --- |\n| Producesinstance-level<br>labels.Fusionsources. | LinearRegress<br>RVM<br>SVR | 8.32(0.00)<br>3.20(0.00)<br>8.60(0.14) | 3.17(0.00)<br>0.22(0.00)<br>9.38(0.01) | 2.08(0.00)<br>2.15(0.21)<br>3.35(0.37) |\n| Proposedregression<br>method. | MICIRegressionFusion | 1.57(0.27) | 1.99(0.00) | 1.98(0.00 |","| labelerror<br>bias<br>RRB | 0.1478(4.8e-04)0.2077(0.004)0.1802(0.002)0.1810(0.003)0.1600<br>0.1968(0.003)0.0044(0.006)0.0060(0.011)0.0262(0.008)0.0090(0.015)<br>0.4647(0.013)0.4696(0.009)0.5402(0.011)0.4282(0.019)n/a |\n| --- | --- |\n|  | AdaBoostAB(RR)AB(SDB)AB(RM)AB(FWL) |\n| labelerror<br>bias<br>RRB | 0.1529(0.002)0.2078(0.004)0.1822(0.005)0.1864(0.004)0.1860(0.004)<br>0.1856(0.012)0.0091(0.006)0.0013(0.007)0.0381(0.013)0.0682(0.004)<br>0.4372(0.032)0.4661(0.019)0.5461(0.015)0.4410(0.013)0.4321(0.016) |",0]
["| ra | SizeNEdges |\n| --- | --- |\n| Dolphins | 62159 |\n| Lesmiserable | 77254 |","| Football | 115613 |\n| --- | --- |\n| Facebook | 403988,234 |",1]
["| ra | SizeNEdges |\n| --- | --- |\n| Dolphins | 62159 |\n| Lesmiserable | 77254 |","| Network | n | k | SLPA | std | r | Copra | std | v | LFM | Cﬁnder | k |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| karate | 34 | 4.5 | 0.65 | 0.21 | 0.33 | 0.44 | 0.18 | 3 | 0.42 | 0.52 | 3 |\n| dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |\n| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |\n| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |\n| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 |  | 0.64 | 4 |\n| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 |  | 0.55 | 7 |\n| netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 |\n| celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 |\n| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |\n| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |\n| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |",0]
["| ra | SizeNEdges |\n| --- | --- |\n| Dolphins | 62159 |","| Lesmiserable | 77254 |\n| --- | --- |\n| Football | 115613 |\n| Facebook | 403988,234 |",1]
["| ra | SizeNEdges |\n| --- | --- |\n| Dolphins | 62159 |","| dolphins | 62 | 5.1 | 0.76 | 0.03 | 0.45 | 0.70 | 0.04 | 4 | 0.28 | 0.66 | 3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| lesmis | 77 | 6.6 | 0.78 | 0.03 | 0.45 | 0.72 | 0.05 | 2 | 0.72 | 0.63 | 4 |\n| polbooks | 105 | 8.4 | 0.83 | 0.01 | 0.45 | 0.82 | 0.05 | 2 | 0.74 | 0.79 | 3 |\n| football | 115 | 10.6 | 0.70 | 0.01 | 0.45 | 0.69 | 0.03 | 2 |  | 0.64 | 4 |\n| jazz | 198 | 27.7 | 0.70 | 0.09 | 0.45 | 0.71 | 0.05 | 1 |  | 0.55 | 7 |\n| netscience | 379 | 4.8 | 0.85 | 0.01 | 0.45 | 0.82 | 0.02 | 6 | 0.46 | 0.61 | 3 |\n| celegans | 453 | 8.9 | 0.31 | 0.22 | 0.35 | 0.21 | 0.14 | 1 | 0.23 | 0.26 | 4 |\n| email | 1133 | 9.6 | 0.64 | 0.03 | 0.45 | 0.51 | 0.22 | 2 | 0.25 | 0.46 | 3 |\n| CA-GrQc | 4730 | 5.6 | 0.76 | 0.00 | 0.45 | 0.71 | 0.01 | 1 | 0.45 | 0.51 | 3 |\n| PGP | 10680 | 4.5 | 0.82 | 0.01 | 0.45 | 0.78 | 0.02 | 9 | 0.44 | 0.57 | 3 |",0]
["| Setup | Naive | Girginetal. | Sym |\n| --- | --- | --- | --- |\n| a | 136±7 | 113±5 | 37±6 |\n| b | 237±6 | 166±7 | 46±6 |","| c | 174±7 | 116±6 | 31±5 |\n| --- | --- | --- | --- |\n| d | 241±5 | 187±6 | 38±6 |\n| e | 253±8 | 177±6 | 41±7 |\n| f | 275±9 | 229±10 | 54±8 |",1]
["| Setup | Naive | Girginetal. | Sym |\n| --- | --- | --- | --- |\n| a | 136±7 | 113±5 | 37±6 |\n| b | 237±6 | 166±7 | 46±6 |","| Time(s) | Exp2 | Branin | Hart. | Michal. | Walker | MCar | LogR | OnLDA | HPNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #dims | 2 | 2 | 6 | 10 | 8 | 7 | 4 | 3 | 14 |\n| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |\n| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |\n| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |\n| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 |",0]
["| Setup | Naive | Girginetal. | Sym |\n| --- | --- | --- | --- |\n| a | 136±7 | 113±5 | 37±6 |\n| b | 237±6 | 166±7 | 46±6 |\n| c | 174±7 | 116±6 | 31±5 |","| d | 241±5 | 187±6 | 38±6 |\n| --- | --- | --- | --- |\n| e | 253±8 | 177±6 | 41±7 |\n| f | 275±9 | 229±10 | 54±8 |",1]
["| Setup | Naive | Girginetal. | Sym |\n| --- | --- | --- | --- |\n| a | 136±7 | 113±5 | 37±6 |\n| b | 237±6 | 166±7 | 46±6 |\n| c | 174±7 | 116±6 | 31±5 |","| #evals | 60 | 40 | 70 | 210 | 40 | 40 | 50 | 70 | 110 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BO | 120 | 171 | 460 | 8360 | 47 | 38 | 28 | 112 | 763 |\n| SBO | 2481 | 3732 | 10415 | 225313 | 440 | 797 | 730 | 2131 | 28442 |\n| WARP | 13929 | 28474 | 188942 | 4445854 | 20271 | 18972 | 9149 | 21299 | 710974 |",0]
["| Category |\n| --- |\n| GroupStructre |\n| CascadeForest |","| Attribute |\n| --- |\n| LocalStructure |",1]
["| Category |\n| --- |\n| GroupStructre |\n| CascadeForest |","| Category | RelationAttribute |\n| --- | --- |\n| RO | hasactiveingredient |\n| RO | hasingredient |\n| RO | hasproductcomponent |\n| RO | hastradename |\n| RO | refersto |\n| RQ | hasalias |\n| RQ | replaces |\n| SY | - |\n| SY | expandedformof |\n| SY | hasexpandedform |\n| SY | hasmultilevelcategory |\n| SY | hasprintname |\n| SY | hassinglelevelcategory |\n| SY | hastradename |\n| SY | sameas |",0]
["| Category |\n| --- |\n| GroupStructre |","| CascadeForest |\n| --- |\n| Attribute |\n| LocalStructure |",1]
["| Category |\n| --- |\n| GroupStructre |","| RO | hasingredient |\n| --- | --- |\n| RO | hasproductcomponent |\n| RO | hastradename |\n| RO | refersto |\n| RQ | hasalias |\n| RQ | replaces |\n| SY | - |\n| SY | expandedformof |\n| SY | hasexpandedform |\n| SY | hasmultilevelcategory |\n| SY | hasprintname |\n| SY | hassinglelevelcategory |\n| SY | hastradename |\n| SY | sameas |",0]
["| Method | Accuracy |  |\n| --- | --- | --- |\n| CleanAudio | NoisyAudio |  |\n| MDAE | 94.4 | 77.3 |\n| AudioRBM | 95.8 | 75.8 |","| MDAE+AudioRBM | 94.4 | 82.2 |\n| --- | --- | --- |\n| CorrRNN | 96.11 | 90.88 |",1]
["| Method | Accuracy |  |\n| --- | --- | --- |\n| CleanAudio | NoisyAudio |  |\n| MDAE | 94.4 | 77.3 |\n| AudioRBM | 95.8 | 75.8 |","|  | Accuracy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Method | α | β | Ave. | Best | Worst |\n| RMSProp | 0.001 | 0.9 | 92.86 | 97.95 | 84.79 |\n| 0.99 | 98.81 | 99.11 | 98.34 |  |  |\n|  | ρ | γ | Ave. | Best | Worst |\n| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |\n| 0.99 | 99.20 | 99.42 | 99.09 |  |  |",0]
["| Method | Accuracy |  |\n| --- | --- | --- |\n| CleanAudio | NoisyAudio |  |\n| MDAE | 94.4 | 77.3 |","| AudioRBM | 95.8 | 75.8 |\n| --- | --- | --- |\n| MDAE+AudioRBM | 94.4 | 82.2 |\n| CorrRNN | 96.11 | 90.88 |",1]
["| Method | Accuracy |  |\n| --- | --- | --- |\n| CleanAudio | NoisyAudio |  |\n| MDAE | 94.4 | 77.3 |","| 0.99 | 98.81 | 99.11 | 98.34 |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  | ρ | γ | Ave. | Best | Worst |\n| SDProp | 0.001 | 0.9 | 93.77 | 97.9 | 87.57 |\n| 0.99 | 99.20 | 99.42 | 99.09 |  |  |",0]
["| Biometric<br>Traits | Accuracy | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | OverlapIOUThreshold | OverlapIOUThreshold |  |  |  |  |  |  |\n|  | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |\n| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |\n| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |\n| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 |","| Palm | 99.66 | 99.52 | 98.33 | 98.14 | 98.00 | 96.83 | 97.80 | 97.66 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4Slap<br>Fingerprint | 99.74 | 96.94 | 84.38 | 99.24 | 96.46 | 83.95 | 98.70 | 95.93 |\n| AllTraits | 99.00 | 96.62 | 90.53 | 98.51 | 96.14 | 90.08 | 97.97 | 95.61 |",1]
["| Biometric<br>Traits | Accuracy | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | OverlapIOUThreshold | OverlapIOUThreshold |  |  |  |  |  |  |\n|  | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |\n| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |\n| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |\n| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 |","| Method | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| HOG-LDA | 73.7 | 41.8 | 39.2 | 23.2 | 10.3 | 42.2 | 38.4 |\n| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| PoseMachines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",0]
["| Biometric<br>Traits | Accuracy | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | OverlapIOUThreshold | OverlapIOUThreshold |  |  |  |  |  |  |\n|  | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |\n| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |\n| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |\n| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 |","| Palm | 99.66 | 99.52 | 98.33 | 98.14 | 98.00 | 96.83 | 97.80 | 97.66 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4Slap<br>Fingerprint | 99.74 | 96.94 | 84.38 | 99.24 | 96.46 | 83.95 | 98.70 | 95.93 |\n| AllTraits | 99.00 | 96.62 | 90.53 | 98.51 | 96.14 | 90.08 | 97.97 | 95.61 |",1]
["| Biometric<br>Traits | Accuracy | Precision |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | OverlapIOUThreshold | OverlapIOUThreshold |  |  |  |  |  |  |\n|  | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 | 0.65 | 0.35 | 0.5 |\n| Knuckle | 99.14 | 93.72 | 78.3 | 98.94 | 93.48 | 77.97 | 98.77 | 93.38 |\n| Iris | 96.78 | 90.24 | 87.42 | 94.84 | 88.43 | 85.67 | 96.78 | 90.24 |\n| Face | 98.46 | 98.34 | 98.27 | 97.46 | 97.34 | 97.27 | 97.91 | 97.77 |","| Alexnet | 76.9 | 47.8 | 41.8 | 26.7 | 11.2 | 42.4 | 41.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| PoseMachines | 93.1 | 83.6 | 76.8 | 68.1 | 42.2 | 85.4 | 72.0 |",0]
["| Database | CNN | Softmax | JSCL | STL | vMFML |\n| --- | --- | --- | --- | --- | --- |\n| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 |","| Casia | Res-27 | 97.40 | 98.87 | 98.13 | 99.18 |\n| --- | --- | --- | --- | --- | --- |\n| MSCeleb-1M | Res-27 | 98.50 | 99.28 | 98.83 | 99.63 |\n| MSCeleb-1M | CasiaNet | 98.21 | 98.33 | 98.42 | 98.65 |",1]
["| Database | CNN | Softmax | JSCL | STL | vMFML |\n| --- | --- | --- | --- | --- | --- |\n| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| Database | CNN | Softmax | JSCL | STL | vMFML |\n| --- | --- | --- | --- | --- | --- |\n| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 |","| Casia | Res-27 | 97.40 | 98.87 | 98.13 | 99.18 |\n| --- | --- | --- | --- | --- | --- |\n| MSCeleb-1M | Res-27 | 98.50 | 99.28 | 98.83 | 99.63 |\n| MSCeleb-1M | CasiaNet | 98.21 | 98.33 | 98.42 | 98.65 |",1]
["| Database | CNN | Softmax | JSCL | STL | vMFML |\n| --- | --- | --- | --- | --- | --- |\n| Casia | CasiaNet | 97.50 | 97.60 | 97.93 | 98.00 |","| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 150000 | 20000 | 30000 | 80000 |\n| SlyDolce | 35000 | 5000 | 25000 | 15000 |\n| Menwick | 70000 | 35000 | 5000 | 10000 |\n| SarahDong | 45000 | 25000 | 10000 | 5000 |\n| EddyEko | 50000 | 15000 | 20000 | 30000 |\n| LyneWirl | 180000 | 100000 | 50000 | 70000 |","| JackFack | 200000 | 80000 | 40000 | 60000 |\n| --- | --- | --- | --- | --- |\n| FaridAl | 450000 | 150000 | 200000 | 100000 |",1]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 150000 | 20000 | 30000 | 80000 |\n| SlyDolce | 35000 | 5000 | 25000 | 15000 |\n| Menwick | 70000 | 35000 | 5000 | 10000 |\n| SarahDong | 45000 | 25000 | 10000 | 5000 |\n| EddyEko | 50000 | 15000 | 20000 | 30000 |\n| LyneWirl | 180000 | 100000 | 50000 | 70000 |","| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 450000 | 80000 | 25000 | 60000 |\n| Menwick | 50000 | 20000 | 20000 | 70000 |\n| SarahDong | 180000 | 5000 | 5000 | 80000 |\n| FaridAL | 45000 | 15000 | 500000 | 30000 |\n| SlyDolce | 150000 | 150000 | 30000 | 10000 |\n| LyneWirl | 200000 | 100000 | 250000 | 100000 |\n| EddyEko | 35000 | 25000 | 10000 | 5000 |\n| JackFack | 70000 | 35000 | 40000 | 15000 |",0]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 150000 | 20000 | 30000 | 80000 |\n| SlyDolce | 35000 | 5000 | 25000 | 15000 |\n| Menwick | 70000 | 35000 | 5000 | 10000 |\n| SarahDong | 45000 | 25000 | 10000 | 5000 |\n| EddyEko | 50000 | 15000 | 20000 | 30000 |","| LyneWirl | 180000 | 100000 | 50000 | 70000 |\n| --- | --- | --- | --- | --- |\n| JackFack | 200000 | 80000 | 40000 | 60000 |\n| FaridAl | 450000 | 150000 | 200000 | 100000 |",1]
["| Names | Expected | January | February | March |\n| --- | --- | --- | --- | --- |\n| JeanKam | 150000 | 20000 | 30000 | 80000 |\n| SlyDolce | 35000 | 5000 | 25000 | 15000 |\n| Menwick | 70000 | 35000 | 5000 | 10000 |\n| SarahDong | 45000 | 25000 | 10000 | 5000 |\n| EddyEko | 50000 | 15000 | 20000 | 30000 |","| Menwick | 50000 | 20000 | 20000 | 70000 |\n| --- | --- | --- | --- | --- |\n| SarahDong | 180000 | 5000 | 5000 | 80000 |\n| FaridAL | 45000 | 15000 | 500000 | 30000 |\n| SlyDolce | 150000 | 150000 | 30000 | 10000 |\n| LyneWirl | 200000 | 100000 | 250000 | 100000 |\n| EddyEko | 35000 | 25000 | 10000 | 5000 |\n| JackFack | 70000 | 35000 | 40000 | 15000 |",0]
["| FilterShape |\n| --- |\n| 1×1×1 |\n| 5×5×29 |","| 3×3×59 |\n| --- |\n| 3×3×74 |\n| 1×300 |\n| 1×300 |\n| Classiﬁer |",1]
["| FilterShape |\n| --- |\n| 1×1×1 |\n| 5×5×29 |","| FilterShape |\n| --- |\n| 3×3×51 |\n| 3×3×46 |\n| 3×3×55 |\n| 3×3×85 |\n| 3×3×16 |\n| 3×3×84 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×16 |\n| 3×3×84 |",0]
["| FilterShape |\n| --- |\n| 1×1×1 |\n| 5×5×29 |\n| 3×3×59 |\n| 3×3×74 |\n| 1×300 |","| 1×300 |\n| --- |\n| Classiﬁer |",1]
["| FilterShape |\n| --- |\n| 1×1×1 |\n| 5×5×29 |\n| 3×3×59 |\n| 3×3×74 |\n| 1×300 |","| 3×3×126 |\n| --- |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×16 |\n| 3×3×84 |",0]
["| TPKETime(ms) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |\n| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 |","| 4 | 3 | 2 | 9.499 | 0.517 | 0.312 | 0.566 | 11.59 | 0.839 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 3 | 2 | 68.08 | 1.311 | 0.797 | 1.318 | 34.53 | 1.890 |",1]
["| TPKETime(ms) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |\n| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| TPKETime(ms) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |\n| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 |","| 4 | 3 | 2 | 9.499 | 0.517 | 0.312 | 0.566 | 11.59 | 0.839 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 3 | 2 | 68.08 | 1.311 | 0.797 | 1.318 | 34.53 | 1.890 |",1]
["| TPKETime(ms) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |\n| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 |","| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| POSTag | POSTagDescription | OurGrouping |\n| --- | --- | --- |\n| CC | Coordinatingconjunction | conjunction |\n| CD | Cardinalnumber | adjective |\n| IN | Prepositionorsubordinatingconjunction | preposition |\n| JJ | Adjective | adjective |","| NN | Noun,singularormass | noun |\n| --- | --- | --- |\n| NNS | Noun,plural | noun |\n| NNP | Propernoun,singular | noun |\n| NNPS | Propernoun,plural | noun |\n| TO | to | preposition |",1]
["| POSTag | POSTagDescription | OurGrouping |\n| --- | --- | --- |\n| CC | Coordinatingconjunction | conjunction |\n| CD | Cardinalnumber | adjective |\n| IN | Prepositionorsubordinatingconjunction | preposition |\n| JJ | Adjective | adjective |","| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| POSTag | POSTagDescription | OurGrouping |\n| --- | --- | --- |\n| CC | Coordinatingconjunction | conjunction |\n| CD | Cardinalnumber | adjective |","| IN | Prepositionorsubordinatingconjunction | preposition |\n| --- | --- | --- |\n| JJ | Adjective | adjective |\n| NN | Noun,singularormass | noun |\n| NNS | Noun,plural | noun |\n| NNP | Propernoun,singular | noun |\n| NNPS | Propernoun,plural | noun |\n| TO | to | preposition |",1]
["| POSTag | POSTagDescription | OurGrouping |\n| --- | --- | --- |\n| CC | Coordinatingconjunction | conjunction |\n| CD | Cardinalnumber | adjective |","| depij | Alldependencyedgeswithtailinwandheadinwij |\n| --- | --- |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1460 | 2838triangles | 155 |\n| CC-DFM | 1510 | 1407triangles | 103 |\n| EDFM | 1572 | 1369quads | 203 |","| mortar-DFM | 3953 | 1452triangles | 105 |\n| --- | --- | --- | --- |\n| D-XFEM | 7180 | 1922triangles | 199 |\n| MFD | 1800770 | 1192504mixed | 7876 |",1]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1460 | 2838triangles | 155 |\n| CC-DFM | 1510 | 1407triangles | 103 |\n| EDFM | 1572 | 1369quads | 203 |","| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1496 | 2863triangles | 74 |\n| CC-DFM | 1459 | 1416triangles | 43 |\n| EDFM | 1044 | 960quads | 84 |\n| mortar-DFM | 3647 | 1384triangles | 63 |\n| P-XFEM | 1667 | 1320quads | 68 |\n| D-XFEM | 3514 | 1132triangles | 160 |\n| MFD | 889233 | 424921mixed | 19287 |",0]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1460 | 2838triangles | 155 |\n| CC-DFM | 1510 | 1407triangles | 103 |\n| EDFM | 1572 | 1369quads | 203 |\n| mortar-DFM | 3953 | 1452triangles | 105 |","| D-XFEM | 7180 | 1922triangles | 199 |\n| --- | --- | --- | --- |\n| MFD | 1800770 | 1192504mixed | 7876 |",1]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1460 | 2838triangles | 155 |\n| CC-DFM | 1510 | 1407triangles | 103 |\n| EDFM | 1572 | 1369quads | 203 |\n| mortar-DFM | 3953 | 1452triangles | 105 |","| P-XFEM | 1667 | 1320quads | 68 |\n| --- | --- | --- | --- |\n| D-XFEM | 3514 | 1132triangles | 160 |\n| MFD | 889233 | 424921mixed | 19287 |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29},...(1) | {15} | {1} | {29} |\n| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |","| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| --- | --- | --- | --- | --- |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29},...(1) | {15} | {1} | {29} |\n| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29} | {9} | {9} | {29} |\n| 2 | {26,29} | {26,29} | {9,29} | {26,29} |\n| 3 | {10,12,26} | {10,12,26} | {9,26,29} | {10,12,26} |\n| 4 | {10,12,26,32},...(4) | {10,12,24,26},...(4) | {10,12,26,29} | {10,12,26,29} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29},...(1) | {15} | {1} | {29} |\n| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |","| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| --- | --- | --- | --- | --- |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29},...(1) | {15} | {1} | {29} |\n| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |","| 3 | {10,12,26} | {10,12,26} | {9,26,29} | {10,12,26} |\n| --- | --- | --- | --- | --- |\n| 4 | {10,12,26,32},...(4) | {10,12,24,26},...(4) | {10,12,26,29} | {10,12,26,29} |",0]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Floating<br>Point |\n| --- | --- | --- | --- | --- |\n| Mobilenetv11224 | 0.001 | 0.591 | 0.704 | 0.709 |\n| Mobilenetv21224 | 0.001 | 0.698 | 0.698 | 0.719 |\n| NasnetMobile | 0.722 | 0.721 | 0.74 | 0.74 |\n| Mobilenetv21.4224 | 0.004 | 0.74 | 0.74 | 0.749 |\n| Inceptionv3 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnetv150 | 0.75 | 0.751 | 0.752 | 0.752 |","| Resnetv250 | 0.75 | 0.75 | 0.75 | 0.756 |\n| --- | --- | --- | --- | --- |\n| Resnetv1152 | 0.766 | 0.763 | 0.762 | 0.768 |\n| Resnetv2152 | 0.761 | 0.76 | 0.77 | 0.778 |",1]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Floating<br>Point |\n| --- | --- | --- | --- | --- |\n| Mobilenetv11224 | 0.001 | 0.591 | 0.704 | 0.709 |\n| Mobilenetv21224 | 0.001 | 0.698 | 0.698 | 0.719 |\n| NasnetMobile | 0.722 | 0.721 | 0.74 | 0.74 |\n| Mobilenetv21.4224 | 0.004 | 0.74 | 0.74 | 0.749 |\n| Inceptionv3 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnetv150 | 0.75 | 0.751 | 0.752 | 0.752 |","| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Activation<br>Only | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.703 | 0.708 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.697 | 0.7 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.74 | 0.74 | 0.74 |\n| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.74 | 0.742 | 0.749 |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.751 | 0.751 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |\n| Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",0]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Floating<br>Point |\n| --- | --- | --- | --- | --- |\n| Mobilenetv11224 | 0.001 | 0.591 | 0.704 | 0.709 |\n| Mobilenetv21224 | 0.001 | 0.698 | 0.698 | 0.719 |\n| NasnetMobile | 0.722 | 0.721 | 0.74 | 0.74 |\n| Mobilenetv21.4224 | 0.004 | 0.74 | 0.74 | 0.749 |\n| Inceptionv3 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnetv150 | 0.75 | 0.751 | 0.752 | 0.752 |\n| Resnetv250 | 0.75 | 0.75 | 0.75 | 0.756 |","| Resnetv1152 | 0.766 | 0.763 | 0.762 | 0.768 |\n| --- | --- | --- | --- | --- |\n| Resnetv2152 | 0.761 | 0.76 | 0.77 | 0.778 |",1]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Floating<br>Point |\n| --- | --- | --- | --- | --- |\n| Mobilenetv11224 | 0.001 | 0.591 | 0.704 | 0.709 |\n| Mobilenetv21224 | 0.001 | 0.698 | 0.698 | 0.719 |\n| NasnetMobile | 0.722 | 0.721 | 0.74 | 0.74 |\n| Mobilenetv21.4224 | 0.004 | 0.74 | 0.74 | 0.749 |\n| Inceptionv3 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnetv150 | 0.75 | 0.751 | 0.752 | 0.752 |\n| Resnetv250 | 0.75 | 0.75 | 0.75 | 0.756 |","| Resnet-v150 | 0.75 | 0.751 | 0.751 | 0.751 | 0.752 |\n| --- | --- | --- | --- | --- | --- |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |\n| Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",0]
["| Botswana |  |  |\n| --- | --- | --- |\n| OAAAk | dim | OAAAk |","| 76.8177.0959.15<br>78.1279.2560.20 | 56<br>52 | 81.1187.5762.75<br>82.9888.8463.12 |\n| --- | --- | --- |\n| 86.9088.1869.02<br>84.0685.5365.95 | 56<br>42 | 83.6688.1561.92<br>83.5786.8161.70 |\n| 84.9285.9477.54<br>94.5494.6975.54 | 58<br>58 | 84.5487.2570.45<br>86.4291.6767.53 |",1]
["| Botswana |  |  |\n| --- | --- | --- |\n| OAAAk | dim | OAAAk |","| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |\n| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| Botswana |  |  |\n| --- | --- | --- |\n| OAAAk | dim | OAAAk |","| 76.8177.0959.15<br>78.1279.2560.20 | 56<br>52 | 81.1187.5762.75<br>82.9888.8463.12 |\n| --- | --- | --- |\n| 86.9088.1869.02<br>84.0685.5365.95 | 56<br>42 | 83.6688.1561.92<br>83.5786.8161.70 |\n| 84.9285.9477.54<br>94.5494.6975.54 | 58<br>58 | 84.5487.2570.45<br>86.4291.6767.53 |",1]
["| Botswana |  |  |\n| --- | --- | --- |\n| OAAAk | dim | OAAAk |","| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| --- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| Problem | Input | Output |\n| --- | --- | --- |\n| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |","| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |\n| --- | --- | --- |\n| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |\n| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring |",1]
["| Problem | Input | Output |\n| --- | --- | --- |\n| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |","| Problem | Input | Output |\n| --- | --- | --- |\n| M-SEQ-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubsequencei |\n| M-STR-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubstringi |\n| M-SEQ-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubsequencei |\n| M-STR-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubstringi |",0]
["| Problem | Input | Output |\n| --- | --- | --- |\n| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |\n| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |","| SEQ-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubsequence |\n| --- | --- | --- |\n| STR-EC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>excludingPasasubstring |",1]
["| Problem | Input | Output |\n| --- | --- | --- |\n| SEQ-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubsequence |\n| STR-IC-LCS | X,Y,andP | ThelongestcommonsubsequenceofXandY<br>includingPasasubstring |","| M-STR-IC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>includingeachofconstrainP∈Pasasubstringi |\n| --- | --- | --- |\n| M-SEQ-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubsequencei |\n| M-STR-EC-LCS | X,Y,andasetofconstrains<br>P={P,···,P}1d | ThelongestcommonsubsequenceofXandY<br>excludingeachofconstrainP∈Pasasubstringi |",0]
["| Instances | LBD | SIZE | CVSIDS | DegComp |\n| --- | --- | --- | --- | --- |\n| jgiraldezlevy.2200.9086.08.40.8 | - | - | - | 93.71s |\n| mantheyDimacsSorterHalf373 | - | - | - | 2642.88s |","| 14packages-2008seed.040 | - | - | - | 1713.46s |\n| --- | --- | --- | --- | --- |\n| mantheyDimacsSorter373 | - | - | - | 2673.39s |\n| jgiraldezlevy.2200.9086.08.40.2 | - | - | - | 3195.03s |",1]
["| Instances | LBD | SIZE | CVSIDS | DegComp |\n| --- | --- | --- | --- | --- |\n| jgiraldezlevy.2200.9086.08.40.8 | - | - | - | 93.71s |\n| mantheyDimacsSorterHalf373 | - | - | - | 2642.88s |","| Instance | #V#Csolution |\n| --- | --- |\n| b14optbug2vec1-gt-0 | 130328402707402706 |\n| b15-bug-4vec-gt-0 | 5810641712690– |\n| b15-bug-1vec-gt-0 | 121836359040359039 |\n| c1DDs3f1e2v1-bug-4vec-gt-0 | 391897989885989881 |\n| c1DDs3f1e2v1-bug-1vec-gt-0 | 102234258294258293 |\n| c2DDs3f1e2v1-bug-4vec-gt-0 | 40008511218101121806 |\n| c2DDs3f1e2v1-bug-1vec-gt-0 | 84525236942236941 |\n| c3DDs3f1e1v1-bug-4vec-gt-0 | 335408694486940 |\n| c3DDs3f1e1v1-bug-1vec-gt-0 | 83852173621735 |\n| c4DDs3f1e1v1-bug-gt-0 | 79772820112162011208 |\n| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |\n| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |\n| c5315-bug-gt-0 | 188050495048 |\n| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |\n| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |\n| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |\n| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |\n| c6288-bug-gt-0 | 346292859284 |\n| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |\n| c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |\n| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |\n| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |\n| c7552-bug-gt-0 | 264070087007 |\n| motcomb1.red-gt-0 | 215953265325 |\n| motcomb2.red-gt-0 | 54841389413893 |\n| motcomb3.red-gt-0 | 112652952029519 |\n| s15850-bug-4vec-gt-0 | 88544206252206248 |\n| s15850-bug-1vec-gt-0 | 221365156351562 |\n| s38584-bug-1vec-gt-0 | 314272819830819829 |",0]
["| Instances | LBD | SIZE | CVSIDS | DegComp |\n| --- | --- | --- | --- | --- |\n| jgiraldezlevy.2200.9086.08.40.8 | - | - | - | 93.71s |","| mantheyDimacsSorterHalf373 | - | - | - | 2642.88s |\n| --- | --- | --- | --- | --- |\n| 14packages-2008seed.040 | - | - | - | 1713.46s |\n| mantheyDimacsSorter373 | - | - | - | 2673.39s |\n| jgiraldezlevy.2200.9086.08.40.2 | - | - | - | 3195.03s |",1]
["| Instances | LBD | SIZE | CVSIDS | DegComp |\n| --- | --- | --- | --- | --- |\n| jgiraldezlevy.2200.9086.08.40.8 | - | - | - | 93.71s |","| c4DDs3f1e2v1-bug-4vec-gt-0 | 44846511306721130668 |\n| --- | --- |\n| c4DDs3f1e2v1-bug-1vec-gt-0 | 131584331754331753 |\n| c5315-bug-gt-0 | 188050495048 |\n| c5DDs3f1e1v1-bug-4vec-gt-0 | 100472270492270488 |\n| c5DDs3f1e1v1-bug-gt-0 | 200944540984540976 |\n| c5DDs3f1e1v1-bug-1vec-gt-0 | 251186762367622 |\n| c5DDs3f1e1v2-bug-gt-0 | 200944540984540976 |\n| c6288-bug-gt-0 | 346292859284 |\n| c6DDs3f1e1v1-bug-4vec-gt-0 | 170019454050454046 |\n| c6DDs3f1e1v1-bug-gt-0 | 298058795900795892 |\n| c6DDs3f1e1v1-bug-1vec-gt-0 | 44079117720117719 |\n| c6DDs3f1e2v1-bug-4vec-gt-0 | 170019454050454046 |\n| c7552-bug-gt-0 | 264070087007 |\n| motcomb1.red-gt-0 | 215953265325 |\n| motcomb2.red-gt-0 | 54841389413893 |\n| motcomb3.red-gt-0 | 112652952029519 |\n| s15850-bug-4vec-gt-0 | 88544206252206248 |\n| s15850-bug-1vec-gt-0 | 221365156351562 |\n| s38584-bug-1vec-gt-0 | 314272819830819829 |",0]
["| Experiment | BigRoots | PCC |  |  |\n| --- | --- | --- | --- | --- |\n| TP | FP | TP | FP |  |\n| CPUAG | 20 | 0 | 20 | 36 |","| I/OAG | 16 | 0 | 9 | 29 |\n| --- | --- | --- | --- | --- |\n| NetworkAG | 5 | 4 | 5 | 21 |",1]
["| Experiment | BigRoots | PCC |  |  |\n| --- | --- | --- | --- | --- |\n| TP | FP | TP | FP |  |\n| CPUAG | 20 | 0 | 20 | 36 |","| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| Experiment | BigRoots | PCC |  |  |\n| --- | --- | --- | --- | --- |\n| TP | FP | TP | FP |  |\n| CPUAG | 20 | 0 | 20 | 36 |","| I/OAG | 16 | 0 | 9 | 29 |\n| --- | --- | --- | --- | --- |\n| NetworkAG | 5 | 4 | 5 | 21 |",1]
["| Experiment | BigRoots | PCC |  |  |\n| --- | --- | --- | --- | --- |\n| TP | FP | TP | FP |  |\n| CPUAG | 20 | 0 | 20 | 36 |","| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |","| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| --- |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |","| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |","| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| --- |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=85.00,corrects=17.00)<br>rappel=0.101precision=0.200f-mesure=0.134 |\n| -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |","| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 |\n| --- |\n| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=156.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |",0]
["| Referrer | Clicks |\n| --- | --- |\n| http://www.google.com | 980 |\n| http://m.facebook.com | 670 |","| http://fasebook.c0m.at | 640 |\n| --- | --- |\n| http://www.facebook.com | 550 |\n| http://www.clixsense.com | 220 |\n| http://www.youtube.com | 181 |\n| http://servinox.com.co | 132 |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",1]
["| Referrer | Clicks |\n| --- | --- |\n| http://www.google.com | 980 |\n| http://m.facebook.com | 670 |","|  |  |  |  |\n| --- | --- | --- | --- |\n| YouTube | 1729 | 9 | 1721 |\n| Facebook | 903 | 1 | 903 |\n| LiveJournal | 7011 | 16 | 6978 |\n| Orkut | 10824 | 13 | 10812 |\n| Flickr | 4778 | 1 | 4778 |\n| AuthorCitations | 1110 | 1 | 1110 |\n| Wikipedia | 6039 | 2 | 6038 |\n| AS | 274 | 4 | 271 |\n| ER | 3158 | 2888 | 3 |\n| BA | 3158 | 1 | 3158 |\n| Aﬃliation | 5665 | 1 | 5665 |",0]
["| Referrer | Clicks |\n| --- | --- |\n| http://www.google.com | 980 |\n| http://m.facebook.com | 670 |\n| http://fasebook.c0m.at | 640 |","| http://www.facebook.com | 550 |\n| --- | --- |\n| http://www.clixsense.com | 220 |\n| http://www.youtube.com | 181 |\n| http://servinox.com.co | 132 |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",1]
["| Referrer | Clicks |\n| --- | --- |\n| http://www.google.com | 980 |\n| http://m.facebook.com | 670 |\n| http://fasebook.c0m.at | 640 |","| LiveJournal | 7011 | 16 | 6978 |\n| --- | --- | --- | --- |\n| Orkut | 10824 | 13 | 10812 |\n| Flickr | 4778 | 1 | 4778 |\n| AuthorCitations | 1110 | 1 | 1110 |\n| Wikipedia | 6039 | 2 | 6038 |\n| AS | 274 | 4 | 271 |\n| ER | 3158 | 2888 | 3 |\n| BA | 3158 | 1 | 3158 |\n| Aﬃliation | 5665 | 1 | 5665 |",0]
["| Dataset | Train | Test |  |  |\n| --- | --- | --- | --- | --- |\n| Damage | DAV | DAP | DAV | DAP |\n| Nepal | 1.01e-161 | 1.20e-10 | 3.76e-61 | 6.58e-31 |","| Ruby | 0.2416 | 0.4137 | 0.3705 | 0.8256 |\n| --- | --- | --- | --- | --- |\n| Matthew | 0.0675 | 0.0809 | 0.1328 | 0.3250 |\n| Ecuador | 1.66e-18 | 0.1422 | 0.0014 | 0.0207 |",1]
["| Dataset | Train | Test |  |  |\n| --- | --- | --- | --- | --- |\n| Damage | DAV | DAP | DAV | DAP |\n| Nepal | 1.01e-161 | 1.20e-10 | 3.76e-61 | 6.58e-31 |","| V | H | E | Data | Train,Val,Test |\n| --- | --- | --- | --- | --- |\n| 10 | 128 | 200 | 9k,1k,10k | 0.9362,0.8732,0.8731 |\n| 100 | 128 | 200 | 9k,1k,10k | 0.3967,0.1884,0.1883 |\n| 100 | 128 | 200 | 135k,15k,10k | 0.9690,0.9613,0.9623 |\n| 100 | 256 | 81 | 135k,150k,10k | 0.9904,0.9784,0.9787 |\n| 1000 | 256 | 133 | 135k,15k,10k | 0.9410,0.9151,0.9155 |",0]
["| Dataset | Train | Test |  |  |\n| --- | --- | --- | --- | --- |\n| Damage | DAV | DAP | DAV | DAP |\n| Nepal | 1.01e-161 | 1.20e-10 | 3.76e-61 | 6.58e-31 |","| Ruby | 0.2416 | 0.4137 | 0.3705 | 0.8256 |\n| --- | --- | --- | --- | --- |\n| Matthew | 0.0675 | 0.0809 | 0.1328 | 0.3250 |\n| Ecuador | 1.66e-18 | 0.1422 | 0.0014 | 0.0207 |",1]
["| Dataset | Train | Test |  |  |\n| --- | --- | --- | --- | --- |\n| Damage | DAV | DAP | DAV | DAP |\n| Nepal | 1.01e-161 | 1.20e-10 | 3.76e-61 | 6.58e-31 |","| 100 | 256 | 81 | 135k,150k,10k | 0.9904,0.9784,0.9787 |\n| --- | --- | --- | --- | --- |\n| 1000 | 256 | 133 | 135k,15k,10k | 0.9410,0.9151,0.9155 |",0]
["| Scalingfactorset | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Normalized | 3549 | 86.7 |","| Handtuned | 3717 | 90.8 |\n| --- | --- | --- |\n| Leastsquares | 3841 | 93.9 |\n| Hill-climbing | 3857 | 94.3 |",1]
["| Scalingfactorset | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Normalized | 3549 | 86.7 |","| Function | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Mutualinfo | 2817 | 68.9 |\n| Syntacticrulecost | 2913 | 71.2 |\n| L’hoodratio | 3120 | 76.3 |\n| χ | 3339 | 81.6 |\n| χ | 3407 | 83.3 |\n| Meandistance | 3670 | 89.7 |",0]
["| Scalingfactorset | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |","| Normalized | 3549 | 86.7 |\n| --- | --- | --- |\n| Handtuned | 3717 | 90.8 |\n| Leastsquares | 3841 | 93.9 |\n| Hill-climbing | 3857 | 94.3 |",1]
["| Scalingfactorset | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |","| χ | 3407 | 83.3 |\n| --- | --- | --- |\n| Meandistance | 3670 | 89.7 |",0]
["| W.No. | ActiveWord | Phonetic |\n| --- | --- | --- |\n| W1 | kirayajankari | KIRAAYAAJAAtNKAARI |","| W2 | kiraya | KIRAAYAA |\n| --- | --- | --- |\n| W3 | fare | FAYR |\n| W4 | aagamanjankari | AAGAXMAXtNJAAtNKAARI |\n| W5 | aagaman | AAGAXMAXtN |\n| W6 | arrivaldeparture | AXRAAIVAXLdDIPAARCHAXR |\n| W7 | upalabdhatajankari | UPAXLAXBtDHAXtTAAJAAtNKAARI |\n| W8 | ticketavailability | tTIKEYtTAXVAYLAXBILItTY |\n| W9 | upalabdhata | UPAXLAXBtDAXtTHAA |\n| W10 | arrival | AXRAAIVAXL |\n| W11 | prasthan | PRAXStTHAAtN |\n| W12 | departure | dDIPAARCHAXR |\n| W13 | pnrjankari | PIEYtNAARJAAtNKAARI |\n| W14 | pnr | PIAXtNAAR |",1]
["| W.No. | ActiveWord | Phonetic |\n| --- | --- | --- |\n| W1 | kirayajankari | KIRAAYAAJAAtNKAARI |","| Segmenttype | H | L | S | HL | LH |\n| --- | --- | --- | --- | --- | --- |\n| Vowels | 91.8 | 4.8 | 0.5 | 2.2 | 0.7 |\n| Semivowels | 86.2 | 9.2 | 1.3 | 2.5 | 0.9 |\n| Nasals | 82.0 | 7.2 | 6.8 | 3.3 | 0.8 |\n| Unvoicedfricatives | 4.2 | 91.1 | 2.0 | 2.2 | 0.4 |\n| Voicedfricatives | 28.6 | 56.9 | 8.3 | 5.0 | 1.2 |\n| Voicedstops | 48.0 | 37.3 | 12.1 | 1.6 | 1.1 |\n| Unvoicedstops | 16.3 | 70.5 | 11.3 | 1.3 | 0.5 |\n| Aﬀricates | 6.3 | 91.0 | 0.1 | 1.8 | 0.7 |\n| Others | 4.5 | 13.3 | 82.1 | 0.1 | 0.0 |\n| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |\n| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 |",0]
["| W.No. | ActiveWord | Phonetic |\n| --- | --- | --- |\n| W1 | kirayajankari | KIRAAYAAJAAtNKAARI |\n| W2 | kiraya | KIRAAYAA |\n| W3 | fare | FAYR |\n| W4 | aagamanjankari | AAGAXMAXtNJAAtNKAARI |\n| W5 | aagaman | AAGAXMAXtN |\n| W6 | arrivaldeparture | AXRAAIVAXLdDIPAARCHAXR |\n| W7 | upalabdhatajankari | UPAXLAXBtDHAXtTAAJAAtNKAARI |\n| W8 | ticketavailability | tTIKEYtTAXVAYLAXBILItTY |","| W9 | upalabdhata | UPAXLAXBtDAXtTHAA |\n| --- | --- | --- |\n| W10 | arrival | AXRAAIVAXL |\n| W11 | prasthan | PRAXStTHAAtN |\n| W12 | departure | dDIPAARCHAXR |\n| W13 | pnrjankari | PIEYtNAARJAAtNKAARI |\n| W14 | pnr | PIAXtNAAR |",1]
["| W.No. | ActiveWord | Phonetic |\n| --- | --- | --- |\n| W1 | kirayajankari | KIRAAYAAJAAtNKAARI |\n| W2 | kiraya | KIRAAYAA |\n| W3 | fare | FAYR |\n| W4 | aagamanjankari | AAGAXMAXtNJAAtNKAARI |\n| W5 | aagaman | AAGAXMAXtN |\n| W6 | arrivaldeparture | AXRAAIVAXLdDIPAARCHAXR |\n| W7 | upalabdhatajankari | UPAXLAXBtDHAXtTAAJAAtNKAARI |\n| W8 | ticketavailability | tTIKEYtTAXVAYLAXBILItTY |","| Voicedclosures | 10.6 | 8.7 | 78.4 | 1.7 | 0.7 |\n| --- | --- | --- | --- | --- | --- |\n| Unvoicedclosures | 2.1 | 5.6 | 92.0 | 0.2 | 0.1 |",0]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 6 | 69 | 0.62 | 356 | 1.21 | 46 | 0.41 | 366 | 1.38 |\n| 7 | 163 | 1.11 | 609 | 1.34 | 110 | 0.81 | 584 | 1.41 |\n| 8 | 367 | 2.06 | 901 | 1.54 | 312 | 1.79 | 908 | 1.61 |","| 9 | 832 | 4.37 | 1243 | 1.70 | 586 | 3.05 | 1207 | 1.77 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 1516 | 7.26 | 1734 | 1.81 | 1115 | 5.54 | 1700 | 2.00 |\n| 11 | 2992 | 13.14 | 2147 | 1.93 | 2087 | 9.50 | 2128 | 2.27 |\n| 12 | 4997 | 21.56 | 2849 | 2.16 | 3510 | 14.13 | 2765 | 2.43 |",1]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 6 | 69 | 0.62 | 356 | 1.21 | 46 | 0.41 | 366 | 1.38 |\n| 7 | 163 | 1.11 | 609 | 1.34 | 110 | 0.81 | 584 | 1.41 |\n| 8 | 367 | 2.06 | 901 | 1.54 | 312 | 1.79 | 908 | 1.61 |","|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 4 | 0.05 | 0.07 | 0.24 | 1.06 | 0.03 | 0.05 | 0.24 | 0.95 |\n| 5 | 0.05 | 0.09 | 0.34 | 1.13 | 0.03 | 0.08 | 0.36 | 0.99 |\n| 6 | 0.05 | 0.13 | 0.50 | 1.22 | 0.03 | 0.10 | 0.48 | 1.13 |\n| 7 | 0.05 | 0.22 | 0.59 | 1.33 | 0.04 | 0.16 | 0.62 | 1.25 |\n| 8 | 0.07 | 0.31 | 0.76 | 1.41 | 0.04 | 0.23 | 0.73 | 1.57 |\n| 9 | ∗<br>0.07 | ∗<br>0.36 | 0.89 | 1.56 | 0.05 | 0.31 | 0.92 | 1.69 |\n| 10 | ∗<br>0.08 | ∗<br>0.40 | 1.09 | 1.80 | ∗<br>0.05 | ∗<br>0.42 | 1.07 | 1.80 |",0]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 6 | 69 | 0.62 | 356 | 1.21 | 46 | 0.41 | 366 | 1.38 |","| 7 | 163 | 1.11 | 609 | 1.34 | 110 | 0.81 | 584 | 1.41 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 367 | 2.06 | 901 | 1.54 | 312 | 1.79 | 908 | 1.61 |\n| 9 | 832 | 4.37 | 1243 | 1.70 | 586 | 3.05 | 1207 | 1.77 |\n| 10 | 1516 | 7.26 | 1734 | 1.81 | 1115 | 5.54 | 1700 | 2.00 |\n| 11 | 2992 | 13.14 | 2147 | 1.93 | 2087 | 9.50 | 2128 | 2.27 |\n| 12 | 4997 | 21.56 | 2849 | 2.16 | 3510 | 14.13 | 2765 | 2.43 |",1]
["|  | NoFaults | OneInjectedFault |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberof<br>Processes | Partial-Order<br>Methods | Computation<br>Slicing | Partial-Order<br>Methods | Computation<br>Slicing |  |  |  |  |\n| n | T | M | T | M | T | M | T | M |\n| 6 | 69 | 0.62 | 356 | 1.21 | 46 | 0.41 | 366 | 1.38 |","| 6 | 0.05 | 0.13 | 0.50 | 1.22 | 0.03 | 0.10 | 0.48 | 1.13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 0.05 | 0.22 | 0.59 | 1.33 | 0.04 | 0.16 | 0.62 | 1.25 |\n| 8 | 0.07 | 0.31 | 0.76 | 1.41 | 0.04 | 0.23 | 0.73 | 1.57 |\n| 9 | ∗<br>0.07 | ∗<br>0.36 | 0.89 | 1.56 | 0.05 | 0.31 | 0.92 | 1.69 |\n| 10 | ∗<br>0.08 | ∗<br>0.40 | 1.09 | 1.80 | ∗<br>0.05 | ∗<br>0.42 | 1.07 | 1.80 |",0]
["| today | hour | operation |\n| --- | --- | --- |\n| =workday | ¿17 | =nbizhrs |\n| =weekend | =ANY | =nbizhrs |","| =workday | ¡9 | =nbizhrs |\n| --- | --- | --- |\n| =workday | in[9,17] | =bizhrs |",1]
["| today | hour | operation |\n| --- | --- | --- |\n| =workday | ¿17 | =nbizhrs |\n| =weekend | =ANY | =nbizhrs |","| ID | Name | TimeInterval |\n| --- | --- | --- |\n| 0 | Morning | 6:00∼9:00 |\n| 1 | Forenoon | 9:00∼12:00 |\n| 2 | Noon | 12:00∼14:00 |\n| 3 | Afternoon | 14:00∼17:00 |\n| 4 | Evening | 17:00∼21:00 |\n| 5 | Night | 21:00∼24:00 |\n| 6 | Midnight | 0:00∼6:00 |\n| 7 | Weekday | Monday∼Friday |\n| 8 | Weekend | Saturday,Sunday |",0]
["| today | hour | operation |\n| --- | --- | --- |\n| =workday | ¿17 | =nbizhrs |\n| =weekend | =ANY | =nbizhrs |","| =workday | ¡9 | =nbizhrs |\n| --- | --- | --- |\n| =workday | in[9,17] | =bizhrs |",1]
["| today | hour | operation |\n| --- | --- | --- |\n| =workday | ¿17 | =nbizhrs |\n| =weekend | =ANY | =nbizhrs |","| 4 | Evening | 17:00∼21:00 |\n| --- | --- | --- |\n| 5 | Night | 21:00∼24:00 |\n| 6 | Midnight | 0:00∼6:00 |\n| 7 | Weekday | Monday∼Friday |\n| 8 | Weekend | Saturday,Sunday |",0]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |","| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| --- | --- | --- | --- | --- | --- |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",1]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |","| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |\n| makeprogress | progress | [??] | make | allow | 64.33 |\n| makeaproposal | propose | [??] | make | include | 1.10 |\n| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",0]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |","| makeprogress | progress | [??] | make | allow | 64.33 |\n| --- | --- | --- | --- | --- | --- |\n| makeaproposal | propose | [??] | make | include | 1.10 |\n| beararesemblance(to) | resemble | [??] | bear | have | 2.64 |\n| giveashove(to) | shove | [??] | N/A | N/A | N/A |\n| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| makeuse(of) | use | [??] | make | have | 6.55 |",1]
["| SourceText | Verb | Reference | Choice1 | Choice2 | Ratio |\n| --- | --- | --- | --- | --- | --- |\n| makeanattempt | attempt | [??] | make | include | 9.36 |\n| makeachange | change | [??] | make | produce | 1.85 |\n| makeaconcession | concede | [??] | make | include | 11.47 |\n| makeademand | demand | [??] | make | create | 1.03 |\n| makeadistinction | distinguish | [??] | make | have | 3.04 |\n| haveadrink(of) | drink | [??] | become | N/A | N/A |\n| haveaneﬀect(on) | aﬀect | [??] | have | produce | 3.04 |\n| haveafeeling | feel | [??] | have | produce | 3.27 |\n| makeagift(of) | give | [??] | have | include | 9.89 |\n| doharm(to) | harm | [??] | cause | do | 1.26 |\n| makeajudgment | judge | [??] | make | have | 2.43 |\n| haveaknowledge(of) | know | [??] | have | use | 12.36 |","| haveasnooze | snooze | [??] | N/A | N/A | N/A |\n| --- | --- | --- | --- | --- | --- |\n| makeuse(of) | use | [??] | make | have | 6.55 |",0]
["| Training | Connection | Dataset | Spanish-French | German-French |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| es→en | en→fr | es→fr | de→en | en→fr | de→fr |  |  |  |\n| indep. | - | Dev.<br>Test | 31.53<br>31.54 | 30.46<br>31.42 | 29.52<br>29.79 | 26.52<br>26.47 | 30.46<br>31.42 | 23.67<br>23.70 |","| joint | hard | Dev.<br>Test | 31.81<br>31.55 | 30.18<br>31.13 | 29.11<br>29.93 | 26.48<br>26.58 | 30.47<br>31.35 | 23.87<br>23.88 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| soft | Dev.<br>Test | 32.11<br>∗<br>31.96 | 30.41<br>31.40 | 30.24<br>∗∗<br>30.57 | 26.92<br>26.55 | 30.39<br>31.33 | 23.99<br>23.79 |  |\n| likelihood | Dev.<br>Test | 33.35<br>∗∗<br>33.54 | 31.63<br>∗∗<br>32.33 | 32.45<br>∗∗<br>32.59 | 27.90<br>∗∗<br>28.01 | 31.49<br>∗∗<br>32.34 | 25.21<br>∗∗<br>25.93 |  |",1]
["| Training | Connection | Dataset | Spanish-French | German-French |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| es→en | en→fr | es→fr | de→en | en→fr | de→fr |  |  |  |\n| indep. | - | Dev.<br>Test | 31.53<br>31.54 | 30.46<br>31.42 | 29.52<br>29.79 | 26.52<br>26.47 | 30.46<br>31.42 | 23.67<br>23.70 |","| Dataset | Numberof<br>categorical<br>features | Numberof<br>numerical<br>features | Number<br>ofclasses | Numberof<br>objectsin<br>trainingset | Numberof<br>objectsin<br>testset |\n| --- | --- | --- | --- | --- | --- |\n| Dexter | 0 | 20000 | 2 | 420 | 180 |\n| GermanCredit | 13 | 7 | 2 | 700 | 300 |\n| Dorothea | 0 | 100000 | 2 | 805 | 345 |\n| Yeast | 0 | 8 | 10 | 1039 | 445 |\n| Secom | 0 | 590 | 2 | 1097 | 470 |\n| Semeion | 0 | 256 | 10 | 1116 | 477 |\n| Car | 6 | 0 | 4 | 1210 | 518 |\n| KR-vs-KP | 36 | 0 | 2 | 2238 | 958 |\n| Waveform | 0 | 40 | 3 | 3500 | 1500 |\n| Shuttle | 38 | 192 | 2 | 35000 | 15000 |",0]
["| Training | Connection | Dataset | Spanish-French | German-French |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| es→en | en→fr | es→fr | de→en | en→fr | de→fr |  |  |  |\n| indep. | - | Dev.<br>Test | 31.53<br>31.54 | 30.46<br>31.42 | 29.52<br>29.79 | 26.52<br>26.47 | 30.46<br>31.42 | 23.67<br>23.70 |","| joint | hard | Dev.<br>Test | 31.81<br>31.55 | 30.18<br>31.13 | 29.11<br>29.93 | 26.48<br>26.58 | 30.47<br>31.35 | 23.87<br>23.88 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| soft | Dev.<br>Test | 32.11<br>∗<br>31.96 | 30.41<br>31.40 | 30.24<br>∗∗<br>30.57 | 26.92<br>26.55 | 30.39<br>31.33 | 23.99<br>23.79 |  |\n| likelihood | Dev.<br>Test | 33.35<br>∗∗<br>33.54 | 31.63<br>∗∗<br>32.33 | 32.45<br>∗∗<br>32.59 | 27.90<br>∗∗<br>28.01 | 31.49<br>∗∗<br>32.34 | 25.21<br>∗∗<br>25.93 |  |",1]
["| Training | Connection | Dataset | Spanish-French | German-French |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| es→en | en→fr | es→fr | de→en | en→fr | de→fr |  |  |  |\n| indep. | - | Dev.<br>Test | 31.53<br>31.54 | 30.46<br>31.42 | 29.52<br>29.79 | 26.52<br>26.47 | 30.46<br>31.42 | 23.67<br>23.70 |","| KR-vs-KP | 36 | 0 | 2 | 2238 | 958 |\n| --- | --- | --- | --- | --- | --- |\n| Waveform | 0 | 40 | 3 | 3500 | 1500 |\n| Shuttle | 38 | 192 | 2 | 35000 | 15000 |",0]
["| Non-ConstructiveCell-ProbeModel |  |  |  |\n| --- | --- | --- | --- |\n| Space | Probes | Independence | Reference |","| u<br>1/c<br>u<br>1/c<br>u | -<br>t<c<br>O(c) | ≤u<br>≤t<br>Ω(1/c)<br>u | Trivial |\n| --- | --- | --- | --- |\n| C-programmableWordRAMmodel |  |  |  |\n| Space | Time | Independence | Reference |\n| k<br>u<br>1/c<br>u<br>1/c<br>u<br>1/c<br>u<br>1/c<br>u | O(k)<br>1<br>c<br>O(c)<br>O(ck)<br>O(c)<br>lgc<br>O(c) | k<br>u<br>2<br>Ω(1/c)<br>u<br>k<br>2<br>Ω(1/c)<br>u<br>Ω(1/c)<br>u | Polynomial<br>Completetable<br>Thispaper<br>Thispaper |",1]
["| Non-ConstructiveCell-ProbeModel |  |  |  |\n| --- | --- | --- | --- |\n| Space | Probes | Independence | Reference |","| Req. | Pseudorandom<br>PFNC | ModelcheckingTA<br>PFNC | BDIagents<br>PFNC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CooperativeManufacturingAssistant(160testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 19<br>3<br>24<br>57<br>33<br>160 | 4<br>0<br>0<br>0<br>31<br>0 | 137<br>157<br>136<br>103<br>96<br>0 | 37<br>35<br>97<br>99<br>128<br>160 | 50<br>10<br>0<br>0<br>2<br>0 | 73<br>115<br>63<br>61<br>30<br>0 | 45<br>31<br>63<br>72<br>79<br>160 | 16<br>5<br>2<br>0<br>4<br>0 | 99<br>124<br>95<br>88<br>77<br>0 |\n| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["| Non-ConstructiveCell-ProbeModel |  |  |  |\n| --- | --- | --- | --- |\n| Space | Probes | Independence | Reference |","| u<br>1/c<br>u<br>1/c<br>u | -<br>t<c<br>O(c) | ≤u<br>≤t<br>Ω(1/c)<br>u | Trivial |\n| --- | --- | --- | --- |\n| C-programmableWordRAMmodel |  |  |  |\n| Space | Time | Independence | Reference |\n| k<br>u<br>1/c<br>u<br>1/c<br>u<br>1/c<br>u<br>1/c<br>u | O(k)<br>1<br>c<br>O(c)<br>O(ck)<br>O(c)<br>lgc<br>O(c) | k<br>u<br>2<br>Ω(1/c)<br>u<br>k<br>2<br>Ω(1/c)<br>u<br>Ω(1/c)<br>u | Polynomial<br>Completetable<br>Thispaper<br>Thispaper |",1]
["| Non-ConstructiveCell-ProbeModel |  |  |  |\n| --- | --- | --- | --- |\n| Space | Probes | Independence | Reference |","| HomeCareAssistant(50testspermethod) |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4 | 16<br>19<br>38<br>13 | 7<br>7<br>11<br>36 | 27<br>24<br>1<br>1 | 19<br>13<br>29<br>2 | 11<br>16<br>19<br>46 | 20<br>21<br>2<br>2 | 17<br>21<br>40<br>10 | 6<br>7<br>8<br>38 | 27<br>22<br>2<br>2 |",0]
["|  | S | M | F | GPU | MIC |\n| --- | --- | --- | --- | --- | --- |\n| SVRNRMSE | 0.13 | 0.33 | 0.52 | 0.15 | 0.28 |","| SVRR | 0.87 | 0.47 | 0.92 | 0.84 | 0.34 |\n| --- | --- | --- | --- | --- | --- |\n| EAMNRMSE | 0.13 | 0.37 | 1.34 | 0.24 | 0.28 |\n| EAMR | 0.87 | 0.34 | 0.52 | 0.59 | 0.31 |",1]
["|  | S | M | F | GPU | MIC |\n| --- | --- | --- | --- | --- | --- |\n| SVRNRMSE | 0.13 | 0.33 | 0.52 | 0.15 | 0.28 |","| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["|  | S | M | F | GPU | MIC |\n| --- | --- | --- | --- | --- | --- |\n| SVRNRMSE | 0.13 | 0.33 | 0.52 | 0.15 | 0.28 |\n| SVRR | 0.87 | 0.47 | 0.92 | 0.84 | 0.34 |","| EAMNRMSE | 0.13 | 0.37 | 1.34 | 0.24 | 0.28 |\n| --- | --- | --- | --- | --- | --- |\n| EAMR | 0.87 | 0.34 | 0.52 | 0.59 | 0.31 |",1]
["|  | S | M | F | GPU | MIC |\n| --- | --- | --- | --- | --- | --- |\n| SVRNRMSE | 0.13 | 0.33 | 0.52 | 0.15 | 0.28 |\n| SVRR | 0.87 | 0.47 | 0.92 | 0.84 | 0.34 |","| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["|  | C-S-F | H-S-F | H-S-T | T-S-T | T-E-F | T-S-F |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | .59 | .52 | .53 | .25 | .38 | .33 |\n| 2 | .61 | .63 | .60 | .33 | .32 | .26 |","| 3 | .61 | .50 | .54 | .44 | .29 | .24 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | .59 | .60 | .56 | .33 | .28 | .24 |\n| 5 | .55 | .55 | .50 | .34 | .27 | .26 |",1]
["|  | C-S-F | H-S-F | H-S-T | T-S-T | T-E-F | T-S-F |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | .59 | .52 | .53 | .25 | .38 | .33 |\n| 2 | .61 | .63 | .60 | .33 | .32 | .26 |","| T@25 | T@50 |\n| --- | --- |\n| 39.5 | 30.5 |\n| 82.7 | 77.3 |\n| 82.2 | 71.5 |\n| 82.4 | 76.8 |\n| 86.4 | 82.2 |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",0]
["|  | C-S-F | H-S-F | H-S-T | T-S-T | T-E-F | T-S-F |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | .59 | .52 | .53 | .25 | .38 | .33 |","| 2 | .61 | .63 | .60 | .33 | .32 | .26 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3 | .61 | .50 | .54 | .44 | .29 | .24 |\n| 4 | .59 | .60 | .56 | .33 | .28 | .24 |\n| 5 | .55 | .55 | .50 | .34 | .27 | .26 |",1]
["|  | C-S-F | H-S-F | H-S-T | T-S-T | T-E-F | T-S-F |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | .59 | .52 | .53 | .25 | .38 | .33 |","| 82.4 | 76.8 |\n| --- | --- |\n| 86.4 | 82.2 |\n| 90.7 | 85.6 |\n| 91.4 | 87.6 |\n| 90.2 | 86.1 |",0]
["| State | Runtime | Proof |\n| --- | --- | --- |\n| Neighborhoodlearning | (2∆+1)κ)s | Lemma?? |\n| Waitstate | (cid:96)·Coloring | Lemma?? |\n| CC:Compete0 | 3κ+∆κsl | Lemma?? |\n| CC:Competei | (38Γ+3)κs | Lemma?? |\n| CC:Max.Compete’si | (38Γ+120Γ)κs | Lemma?? |","| CC:Request | (38+4)κ+∆κsl | Lemma?? |\n| --- | --- | --- |\n| CC:Announce | ≤2κs | - |",1]
["| State | Runtime | Proof |\n| --- | --- | --- |\n| Neighborhoodlearning | (2∆+1)κ)s | Lemma?? |\n| Waitstate | (cid:96)·Coloring | Lemma?? |\n| CC:Compete0 | 3κ+∆κsl | Lemma?? |\n| CC:Competei | (38Γ+3)κs | Lemma?? |\n| CC:Max.Compete’si | (38Γ+120Γ)κs | Lemma?? |","| Criterion | MANCaLog | IC/LT | SNOP | CD | EGT/VM |\n| --- | --- | --- | --- | --- | --- |\n| 1.Labels | Yes | No | Yes | Yes | No |\n| 2.ExplicitRepresentationofTime | Yes | No | Yes | No | Yes |\n| 3.Non-MarkovianTemporalRelationships | Yes | No | No | No | No |\n| 4.Uncertainty | Yes | Yes | Yes | Yes | Yes |\n| 5.CompetingCascades | Yes | No | No | Yes | Yes |\n| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |\n| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard |",0]
["| State | Runtime | Proof |\n| --- | --- | --- |\n| Neighborhoodlearning | (2∆+1)κ)s | Lemma?? |\n| Waitstate | (cid:96)·Coloring | Lemma?? |\n| CC:Compete0 | 3κ+∆κsl | Lemma?? |\n| CC:Competei | (38Γ+3)κs | Lemma?? |\n| CC:Max.Compete’si | (38Γ+120Γ)κs | Lemma?? |","| CC:Request | (38+4)κ+∆κsl | Lemma?? |\n| --- | --- | --- |\n| CC:Announce | ≤2κs | - |",1]
["| State | Runtime | Proof |\n| --- | --- | --- |\n| Neighborhoodlearning | (2∆+1)κ)s | Lemma?? |\n| Waitstate | (cid:96)·Coloring | Lemma?? |\n| CC:Compete0 | 3κ+∆κsl | Lemma?? |\n| CC:Competei | (38Γ+3)κs | Lemma?? |\n| CC:Max.Compete’si | (38Γ+120Γ)κs | Lemma?? |","| 6.Non-monotonicCascades | Yes | No | No | Yes | Yes |\n| --- | --- | --- | --- | --- | --- |\n| 7.Tractablity | PTIME | #P-hard | PTIME | PTIME | NP-hard |",0]
["|  | BostonBombing | HurricaneSandy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IndividualFeaturePerformance | Prec. | Recall | F1 | Prec. | Recall | F1 |","| Unigram<br>Bigram<br>ARKPOS<br>PTBPOS<br>ShallowParse<br>Crisis-Sensitive(CS) | 0.843<br>0.770<br>0.605<br>0.651<br>0.722<br>0.651 | 0.803<br>0.752<br>0.614<br>0.643<br>0.686<br>0.605 | 0.822<br>0.761<br>0.609<br>0.647<br>0.704<br>0.627 | 0.905<br>0.910<br>0.745<br>0.828<br>0.750<br>0.696 | 0.772<br>0.797<br>0.678<br>0.723<br>0.682<br>0.690 | 0.834<br>0.849<br>0.710<br>0.772<br>0.714<br>0.693 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TopFeatureCombinations | Prec. | Recall | F1 | Prec. | Recall | F1 |\n| Unigram+Bigram<br>Unigram+Bigram+ShallowParse<br>Unigram+Bigram+ShallowParse+CS<br>Unigram+Bigram+CS<br>AllFeatures | 0.853<br>0.892<br>—<br>0.857<br>0.897 | 0.805<br>0.771<br>—<br>0.806<br>0.742 | 0.828<br>0.828<br>—<br>0.831<br>0.812 | 0.942<br>—<br>0.956<br>0.947<br>0.960 | 0.820<br>—<br>0.803<br>0.826<br>0.786 | 0.877<br>—<br>0.873<br>0.882<br>0.864 |",1]
["|  | BostonBombing | HurricaneSandy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IndividualFeaturePerformance | Prec. | Recall | F1 | Prec. | Recall | F1 |","| #Predicted |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",0]
["|  | BostonBombing | HurricaneSandy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IndividualFeaturePerformance | Prec. | Recall | F1 | Prec. | Recall | F1 |\n| Unigram<br>Bigram<br>ARKPOS<br>PTBPOS<br>ShallowParse<br>Crisis-Sensitive(CS) | 0.843<br>0.770<br>0.605<br>0.651<br>0.722<br>0.651 | 0.803<br>0.752<br>0.614<br>0.643<br>0.686<br>0.605 | 0.822<br>0.761<br>0.609<br>0.647<br>0.704<br>0.627 | 0.905<br>0.910<br>0.745<br>0.828<br>0.750<br>0.696 | 0.772<br>0.797<br>0.678<br>0.723<br>0.682<br>0.690 | 0.834<br>0.849<br>0.710<br>0.772<br>0.714<br>0.693 |","| TopFeatureCombinations | Prec. | Recall | F1 | Prec. | Recall | F1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Unigram+Bigram<br>Unigram+Bigram+ShallowParse<br>Unigram+Bigram+ShallowParse+CS<br>Unigram+Bigram+CS<br>AllFeatures | 0.853<br>0.892<br>—<br>0.857<br>0.897 | 0.805<br>0.771<br>—<br>0.806<br>0.742 | 0.828<br>0.828<br>—<br>0.831<br>0.812 | 0.942<br>—<br>0.956<br>0.947<br>0.960 | 0.820<br>—<br>0.803<br>0.826<br>0.786 | 0.877<br>—<br>0.873<br>0.882<br>0.864 |",1]
["|  | BostonBombing | HurricaneSandy |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| IndividualFeaturePerformance | Prec. | Recall | F1 | Prec. | Recall | F1 |\n| Unigram<br>Bigram<br>ARKPOS<br>PTBPOS<br>ShallowParse<br>Crisis-Sensitive(CS) | 0.843<br>0.770<br>0.605<br>0.651<br>0.722<br>0.651 | 0.803<br>0.752<br>0.614<br>0.643<br>0.686<br>0.605 | 0.822<br>0.761<br>0.609<br>0.647<br>0.704<br>0.627 | 0.905<br>0.910<br>0.745<br>0.828<br>0.750<br>0.696 | 0.772<br>0.797<br>0.678<br>0.723<br>0.682<br>0.690 | 0.834<br>0.849<br>0.710<br>0.772<br>0.714<br>0.693 |","| #Matched<br>Precision<br>#Derived<br>Recall | 55<br>0.226<br>62<br>0.338 | 49<br>0.224<br>49<br>0.269 | 69<br>0.531<br>75<br>0.412 | 62<br>0.139<br>49<br>0.269 | 83<br>0.215<br>83<br>0.456 | 60<br>0.531<br>60<br>0.330 |\n| --- | --- | --- | --- | --- | --- | --- |\n| #Matched<br>Precision<br>#Derived<br>Recall | 35<br>0.143<br>40<br>0.226 | 42<br>0.192<br>42<br>0.237 | 42<br>0.323<br>53<br>0.300 | 45<br>0.101<br>38<br>0.215 | 59<br>0.153<br>59<br>0.333 | 41<br>0.363<br>41<br>0.232 |\n| #Matched<br>Precision<br>#Derived<br>Recall | 43<br>0.179<br>42<br>0.556 | 41<br>0.187<br>41<br>0.539 | 47<br>0.362<br>52<br>0.684 | 54<br>0.121<br>37<br>0.487 | 59<br>0.153<br>59<br>0.776 | 43<br>0.381<br>43<br>0.566 |",0]
["|  | 2 | 5 | 10 | 15 |\n| --- | --- | --- | --- | --- |\n| NL-PCA | 19.69 | 22.87 | 23.80 | 25.01 |","| VST+BM3D | 20.80 | 23.15 | 24.79 | 25.41 |\n| --- | --- | --- | --- | --- |\n| PoissonNL-means | 21.12 | 23.41 | 24.73 | 25.32 |\n| P4IP | 20.03 | 23.78 | 24.88 | 25.84 |\n| Ourmethod | 21.31 | 23.95 | 25.78 | 27.40 |",1]
["|  | 2 | 5 | 10 | 15 |\n| --- | --- | --- | --- | --- |\n| NL-PCA | 19.69 | 22.87 | 23.80 | 25.01 |","| N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |\n| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |\n| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |\n| 5000 | 0.0016 |  |  |  | 0.99850 |  |\n| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["|  | 2 | 5 | 10 | 15 |\n| --- | --- | --- | --- | --- |\n| NL-PCA | 19.69 | 22.87 | 23.80 | 25.01 |","| VST+BM3D | 20.80 | 23.15 | 24.79 | 25.41 |\n| --- | --- | --- | --- | --- |\n| PoissonNL-means | 21.12 | 23.41 | 24.73 | 25.32 |\n| P4IP | 20.03 | 23.78 | 24.88 | 25.84 |\n| Ourmethod | 21.31 | 23.95 | 25.78 | 27.40 |",1]
["|  | 2 | 5 | 10 | 15 |\n| --- | --- | --- | --- | --- |\n| NL-PCA | 19.69 | 22.87 | 23.80 | 25.01 |","| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |\n| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |\n| 5000 | 0.0016 |  |  |  | 0.99850 |  |\n| 10000 | 0.0008 |  |  |  | 0.99851 |  |\n| 20000 | 0.0004 |  |  |  | 0.99850 |  |",0]
["|  | 2pooling | 3pooling | 4pooling | 5pooling |\n| --- | --- | --- | --- | --- |\n| RGB | 0.0173 | 0.0284 | 0.0308 | 0.0350 |\n| RGB+dist | 0.0175 | 0.0287 | 0.0312 | 0.0352 |","| RGB+coord | 0.0182 | 0.0292 | 0.0318 | 0.0356 |\n| --- | --- | --- | --- | --- |\n| RGB+dist+coord | 0.0192 | 0.0298 | 0.0327 | 0.0361 |",1]
["|  | 2pooling | 3pooling | 4pooling | 5pooling |\n| --- | --- | --- | --- | --- |\n| RGB | 0.0173 | 0.0284 | 0.0308 | 0.0350 |\n| RGB+dist | 0.0175 | 0.0287 | 0.0312 | 0.0352 |","|  | WER-SWB | WER-BN |\n| --- | --- | --- |\n| Nopooling | 23.7 | - |\n| pool=2 | 23.4 | 20.7 |\n| pool=3 | 22.9 | 20.7 |\n| pool=4 | 22.9 | 21.4 |",0]
["|  | 2pooling | 3pooling | 4pooling | 5pooling |\n| --- | --- | --- | --- | --- |\n| RGB | 0.0173 | 0.0284 | 0.0308 | 0.0350 |","| RGB+dist | 0.0175 | 0.0287 | 0.0312 | 0.0352 |\n| --- | --- | --- | --- | --- |\n| RGB+coord | 0.0182 | 0.0292 | 0.0318 | 0.0356 |\n| RGB+dist+coord | 0.0192 | 0.0298 | 0.0327 | 0.0361 |",1]
["|  | 2pooling | 3pooling | 4pooling | 5pooling |\n| --- | --- | --- | --- | --- |\n| RGB | 0.0173 | 0.0284 | 0.0308 | 0.0350 |","| pool=2 | 23.4 | 20.7 |\n| --- | --- | --- |\n| pool=3 | 22.9 | 20.7 |\n| pool=4 | 22.9 | 21.4 |",0]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.6139 | 0.9227 | 0.6149 | 0.3240 | 0.9988 | 0.2692 | 0.4009 |\n| DMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| BestDMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |","| PMSSumMinD | 0.7718 | 0.8910 | 0.7769 | 0.2993 | 0.9986 | 0.2750 | 0.4340 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DMESumMinD | 0.5788 | 0.8899 | 0.6659 | 0.2409 | 0.9983 | 0.2050 | 0.3161 |\n| BestDMESumMinD | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| PMSSumMin500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |\n| PMSSumMinD500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |\n| DMESumMin500 | 0.0877 | 0.9440 | 0.0833 | 0.0877 | 1.0000 | 0.0459 | 0.0327 |",1]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.6139 | 0.9227 | 0.6149 | 0.3240 | 0.9988 | 0.2692 | 0.4009 |\n| DMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| BestDMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |","| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |\n| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |\n| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |\n| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 |",0]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.6139 | 0.9227 | 0.6149 | 0.3240 | 0.9988 | 0.2692 | 0.4009 |\n| DMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |","| BestDMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMinD | 0.7718 | 0.8910 | 0.7769 | 0.2993 | 0.9986 | 0.2750 | 0.4340 |\n| DMESumMinD | 0.5788 | 0.8899 | 0.6659 | 0.2409 | 0.9983 | 0.2050 | 0.3161 |\n| BestDMESumMinD | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |\n| PMSSumMin500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |\n| PMSSumMinD500 | 0.4386 | 0.9408 | 0.4167 | 0.3125 | 1.0000 | 0.2232 | 0.3251 |\n| DMESumMin500 | 0.0877 | 0.9440 | 0.0833 | 0.0877 | 1.0000 | 0.0459 | 0.0327 |",1]
["| ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMin | 0.6139 | 0.9227 | 0.6149 | 0.3240 | 0.9988 | 0.2692 | 0.4009 |\n| DMESumMin | 0.4385 | 0.9354 | 0.5380 | 0.2907 | 0.9986 | 0.2118 | 0.3093 |","| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |\n| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 |",0]
["| fac | fou | kar | mor | pix | zer | TransmissionCostAmongtheNodes |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 3.0×10 |\n| 4 | 1 | 1 | 1 | 4 | 1 | 6.0×10 |\n| 6 | 2 | 2 | 1 | 6 | 2 | 9.6×10 |","| 10 | 4 | 4 | 1 | 10 | 4 | 1.46×10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 4 | 4 | 1 | 13 | 6 | 1.84×10 |\n| 14 | 5 | 7 | 1 | 14 | 8 | 2.46×10 |\n| 15 | 6 | 10 | 1 | 20 | 10 | 3.08×10 |",1]
["| fac | fou | kar | mor | pix | zer | TransmissionCostAmongtheNodes |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 3.0×10 |\n| 4 | 1 | 1 | 1 | 4 | 1 | 6.0×10 |\n| 6 | 2 | 2 | 1 | 6 | 2 | 9.6×10 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |\n| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |\n| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |\n| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |\n| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |\n| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |\n| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |\n| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |\n| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |\n| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 |",0]
["| fac | fou | kar | mor | pix | zer | TransmissionCostAmongtheNodes |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 3.0×10 |\n| 4 | 1 | 1 | 1 | 4 | 1 | 6.0×10 |\n| 6 | 2 | 2 | 1 | 6 | 2 | 9.6×10 |","| 10 | 4 | 4 | 1 | 10 | 4 | 1.46×10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 4 | 4 | 1 | 13 | 6 | 1.84×10 |\n| 14 | 5 | 7 | 1 | 14 | 8 | 2.46×10 |\n| 15 | 6 | 10 | 1 | 20 | 10 | 3.08×10 |",1]
["| fac | fou | kar | mor | pix | zer | TransmissionCostAmongtheNodes |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 3.0×10 |\n| 4 | 1 | 1 | 1 | 4 | 1 | 6.0×10 |\n| 6 | 2 | 2 | 1 | 6 | 2 | 9.6×10 |","| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |\n| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |\n| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |\n| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |\n| anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |\n| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |\n| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 |",0]
["| Labels | Positive | Negative |\n| --- | --- | --- |\n| Wound | 615 | 720 |\n| Infection(SSI) | 355 | 980 |\n| GranulationTissue | 449 | 886 |\n| FibrinousExudate | 398 | 937 |\n| OpenWound | 631 | 704 |\n| Drainage | 448 | 887 |","| SteriStrips | 129 | 1206 |\n| --- | --- | --- |\n| Staples | 98 | 1237 |\n| Sutures | 160 | 1175 |",1]
["| Labels | Positive | Negative |\n| --- | --- | --- |\n| Wound | 615 | 720 |\n| Infection(SSI) | 355 | 980 |\n| GranulationTissue | 449 | 886 |\n| FibrinousExudate | 398 | 937 |\n| OpenWound | 631 | 704 |\n| Drainage | 448 | 887 |","| Word1 | Word2 | Similarity |\n| --- | --- | --- |\n| large | NEGEXenlarged | -0.245 |\n| hemorrhage | NEGEXQUALhemorrhage | -0.074 |\n| hemorrhage | NEGEXQUALintracranialhemorrhage | -0.245 |\n| infarction | NEGEXQUALinfarction | -0.070 |\n| largeterritoryinfarction | NEGEXQUALlargeterritoryinfarction | -0.157 |\n| midlineshift | NEGEXQUALmidlineshift | -0.206 |\n| abnormalities | NEGEXQUALabnormalities | -0.283 |\n| masseﬀect | NEGEXQUALmasseﬀect | -0.170 |",0]
["| Labels | Positive | Negative |\n| --- | --- | --- |\n| Wound | 615 | 720 |\n| Infection(SSI) | 355 | 980 |\n| GranulationTissue | 449 | 886 |\n| FibrinousExudate | 398 | 937 |\n| OpenWound | 631 | 704 |\n| Drainage | 448 | 887 |\n| SteriStrips | 129 | 1206 |","| Staples | 98 | 1237 |\n| --- | --- | --- |\n| Sutures | 160 | 1175 |",1]
["| Labels | Positive | Negative |\n| --- | --- | --- |\n| Wound | 615 | 720 |\n| Infection(SSI) | 355 | 980 |\n| GranulationTissue | 449 | 886 |\n| FibrinousExudate | 398 | 937 |\n| OpenWound | 631 | 704 |\n| Drainage | 448 | 887 |\n| SteriStrips | 129 | 1206 |","| abnormalities | NEGEXQUALabnormalities | -0.283 |\n| --- | --- | --- |\n| masseﬀect | NEGEXQUALmasseﬀect | -0.170 |",0]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Activation<br>Only | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.703 | 0.708 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.697 | 0.7 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.74 | 0.74 | 0.74 |\n| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.74 | 0.742 | 0.749 |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.751 | 0.751 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |","| Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 |\n| --- | --- | --- | --- | --- | --- |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",1]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Activation<br>Only | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.703 | 0.708 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.697 | 0.7 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.74 | 0.74 | 0.74 |\n| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.74 | 0.742 | 0.749 |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.751 | 0.751 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |","| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Floating<br>Point |\n| --- | --- | --- | --- | --- |\n| Mobilenetv11224 | 0.001 | 0.591 | 0.704 | 0.709 |\n| Mobilenetv21224 | 0.001 | 0.698 | 0.698 | 0.719 |\n| NasnetMobile | 0.722 | 0.721 | 0.74 | 0.74 |\n| Mobilenetv21.4224 | 0.004 | 0.74 | 0.74 | 0.749 |\n| Inceptionv3 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnetv150 | 0.75 | 0.751 | 0.752 | 0.752 |\n| Resnetv250 | 0.75 | 0.75 | 0.75 | 0.756 |\n| Resnetv1152 | 0.766 | 0.763 | 0.762 | 0.768 |\n| Resnetv2152 | 0.761 | 0.76 | 0.77 | 0.778 |",0]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Activation<br>Only | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.703 | 0.708 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.697 | 0.7 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.74 | 0.74 | 0.74 |","| Mobilenet-v21.4224 | 0.004 | 0.74 | 0.74 | 0.742 | 0.749 |\n| --- | --- | --- | --- | --- | --- |\n| Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnet-v150 | 0.75 | 0.751 | 0.751 | 0.751 | 0.752 |\n| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |\n| Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 |\n| Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |",1]
["| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Activation<br>Only | Floating<br>Point |\n| --- | --- | --- | --- | --- | --- |\n| Mobilenet-v11224 | 0.001 | 0.591 | 0.703 | 0.708 | 0.709 |\n| Mobilenet-v21224 | 0.001 | 0.698 | 0.697 | 0.7 | 0.719 |\n| Nasnet-Mobile | 0.722 | 0.721 | 0.74 | 0.74 | 0.74 |","| NasnetMobile | 0.722 | 0.721 | 0.74 | 0.74 |\n| --- | --- | --- | --- | --- |\n| Mobilenetv21.4224 | 0.004 | 0.74 | 0.74 | 0.749 |\n| Inceptionv3 | 0.78 | 0.78 | 0.78 | 0.78 |\n| Resnetv150 | 0.75 | 0.751 | 0.752 | 0.752 |\n| Resnetv250 | 0.75 | 0.75 | 0.75 | 0.756 |\n| Resnetv1152 | 0.766 | 0.763 | 0.762 | 0.768 |\n| Resnetv2152 | 0.761 | 0.76 | 0.77 | 0.778 |",0]
["|  |  |  | Qine |  |\n| --- | --- | --- | --- | --- |\n| problem | ratio | Rsolver | 2B | 2B+ |\n| Circle | 0.98<br>0.99<br>0.999 | 55.67<br>169.51<br>− | 0.90<br>2.32<br>69.18 | 1.03<br>2.22<br>31.55 |\n| PathPoint | 0.6<br>0.65<br>0.7 | 122.72<br>334.34<br>− | 0.01<br>0.01<br>0.02 | 0.01<br>0.02<br>0.03 |","| Parabola | 0.96<br>0.97<br>0.98 | 48.33<br>130.30<br>− | 1.47<br>2.74<br>8.77 | 1.36<br>1.92<br>6.59 |\n| --- | --- | --- | --- | --- |\n| Robot | 0.98<br>0.99<br>0.999 | 10.34<br>26.74<br>− | 0.06<br>0.14<br>5.37 | 0.08<br>0.18<br>4.08 |\n| Satellite | 0.5<br>0.55<br>0.6 | 303.30<br>−<br>− | 71.36<br>168.32<br>227.09 | 114.33<br>268.36<br>368.90 |\n| Robust1 | 0.999<br>0.9999<br>0.99999 | 1.10<br>7.16<br>76.25 | 0.01<br>0.04<br>0.10 | 0.00<br>0.00<br>0.00 |\n| Robust4 | 0.5<br>0.55<br>0.6 | −<br>−<br>− | −<br>−<br>− | 0.00<br>0.01<br>0.01 |\n| Robust5 | 0.7<br>0.75<br>0.8 | 75.35<br>80.62<br>− | 0.00<br>0.00<br>0.01 | 0.00<br>0.00<br>0.00 |\n| Robust6 | 0.7<br>0.75<br>0.8 | 59.98<br>224.33<br>− | 0.02<br>0.05<br>0.09 | 0.00<br>0.00<br>0.00 |",1]
["|  |  |  | Qine |  |\n| --- | --- | --- | --- | --- |\n| problem | ratio | Rsolver | 2B | 2B+ |\n| Circle | 0.98<br>0.99<br>0.999 | 55.67<br>169.51<br>− | 0.90<br>2.32<br>69.18 | 1.03<br>2.22<br>31.55 |\n| PathPoint | 0.6<br>0.65<br>0.7 | 122.72<br>334.34<br>− | 0.01<br>0.01<br>0.02 | 0.01<br>0.02<br>0.03 |","| Depth | Para | C-10 |\n| --- | --- | --- |\n| - |  | 7.25 |\n| 110 | 1.7M | 6.61 |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["|  |  |  | Qine |  |\n| --- | --- | --- | --- | --- |\n| problem | ratio | Rsolver | 2B | 2B+ |\n| Circle | 0.98<br>0.99<br>0.999 | 55.67<br>169.51<br>− | 0.90<br>2.32<br>69.18 | 1.03<br>2.22<br>31.55 |\n| PathPoint | 0.6<br>0.65<br>0.7 | 122.72<br>334.34<br>− | 0.01<br>0.01<br>0.02 | 0.01<br>0.02<br>0.03 |\n| Parabola | 0.96<br>0.97<br>0.98 | 48.33<br>130.30<br>− | 1.47<br>2.74<br>8.77 | 1.36<br>1.92<br>6.59 |\n| Robot | 0.98<br>0.99<br>0.999 | 10.34<br>26.74<br>− | 0.06<br>0.14<br>5.37 | 0.08<br>0.18<br>4.08 |","| Satellite | 0.5<br>0.55<br>0.6 | 303.30<br>−<br>− | 71.36<br>168.32<br>227.09 | 114.33<br>268.36<br>368.90 |\n| --- | --- | --- | --- | --- |\n| Robust1 | 0.999<br>0.9999<br>0.99999 | 1.10<br>7.16<br>76.25 | 0.01<br>0.04<br>0.10 | 0.00<br>0.00<br>0.00 |\n| Robust4 | 0.5<br>0.55<br>0.6 | −<br>−<br>− | −<br>−<br>− | 0.00<br>0.01<br>0.01 |\n| Robust5 | 0.7<br>0.75<br>0.8 | 75.35<br>80.62<br>− | 0.00<br>0.00<br>0.01 | 0.00<br>0.00<br>0.00 |\n| Robust6 | 0.7<br>0.75<br>0.8 | 59.98<br>224.33<br>− | 0.02<br>0.05<br>0.09 | 0.00<br>0.00<br>0.00 |",1]
["|  |  |  | Qine |  |\n| --- | --- | --- | --- | --- |\n| problem | ratio | Rsolver | 2B | 2B+ |\n| Circle | 0.98<br>0.99<br>0.999 | 55.67<br>169.51<br>− | 0.90<br>2.32<br>69.18 | 1.03<br>2.22<br>31.55 |\n| PathPoint | 0.6<br>0.65<br>0.7 | 122.72<br>334.34<br>− | 0.01<br>0.01<br>0.02 | 0.01<br>0.02<br>0.03 |\n| Parabola | 0.96<br>0.97<br>0.98 | 48.33<br>130.30<br>− | 1.47<br>2.74<br>8.77 | 1.36<br>1.92<br>6.59 |\n| Robot | 0.98<br>0.99<br>0.999 | 10.34<br>26.74<br>− | 0.06<br>0.14<br>5.37 | 0.08<br>0.18<br>4.08 |","| 110 | 1.7M | 6.61 |\n| --- | --- | --- |\n| 28 | 36.5M | 4.17 |\n| 1001 | 10.2M | 4.62 |\n| 40<br>100<br>100<br>190 | 1.0M<br>7.0M<br>27.2M<br>25.6M | 5.24<br>4.10<br>3.74<br>3.46 |\n| -<br>- | -<br>11.2M | 7.32<br>6.92 |\n| 15<br>20<br>39<br>39 | 4.2M<br>2.5M<br>7.1M<br>37.4M | 5.50<br>6.01<br>4.47<br>3.65 |\n| 25<br>37<br>19<br>22 | -<br>-<br>6.1M<br>39.8M | 3.60<br>3.80<br>4.38<br>3.54 |",0]
["| FilterShape |\n| --- |\n| 3×3×51 |\n| 3×3×46 |\n| 3×3×55 |\n| 3×3×85 |\n| 3×3×16 |\n| 3×3×84 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |","| 3×3×126 |\n| --- |\n| 3×3×16 |\n| 3×3×84 |",1]
["| FilterShape |\n| --- |\n| 3×3×51 |\n| 3×3×46 |\n| 3×3×55 |\n| 3×3×85 |\n| 3×3×16 |\n| 3×3×84 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |","| FilterShape |\n| --- |\n| 1×1×1 |\n| 5×5×29 |\n| 3×3×59 |\n| 3×3×74 |\n| 1×300 |\n| 1×300 |\n| Classiﬁer |",0]
["| FilterShape |\n| --- |\n| 3×3×51 |\n| 3×3×46 |\n| 3×3×55 |\n| 3×3×85 |\n| 3×3×16 |","| 3×3×84 |\n| --- |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×16 |\n| 3×3×84 |",1]
["| FilterShape |\n| --- |\n| 3×3×51 |\n| 3×3×46 |\n| 3×3×55 |\n| 3×3×85 |\n| 3×3×16 |","| 3×3×74 |\n| --- |\n| 1×300 |\n| 1×300 |\n| Classiﬁer |",0]
["| T(IoU) | Atelectasis | Cardiomegaly | Eﬀusion | Inﬁltration | Mass | Nodule |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.6888 | 0.9383 | 0.6601 | 0.7073 | 0.4000 | 0.1392 |\n| AFP | 0.8943 | 0.5996 | 0.8343 | 0.6250 | 0.6666 | 0.6077 |\n| Acc. | 0.4722 | 0.6849 | 0.4509 | 0.4796 | 0.2588 | 0.0506 |\n| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |\n| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |\n| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |","| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |\n| --- | --- | --- | --- | --- | --- | --- |\n| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |\n| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |\n| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |\n| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |\n| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |\n| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |\n| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 |",1]
["| T(IoU) | Atelectasis | Cardiomegaly | Eﬀusion | Inﬁltration | Mass | Nodule |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.6888 | 0.9383 | 0.6601 | 0.7073 | 0.4000 | 0.1392 |\n| AFP | 0.8943 | 0.5996 | 0.8343 | 0.6250 | 0.6666 | 0.6077 |\n| Acc. | 0.4722 | 0.6849 | 0.4509 | 0.4796 | 0.2588 | 0.0506 |\n| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |\n| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |\n| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |","|  | Wanget.al | Yaoet.al | Rajpurkaret.al | BR* | PWE* | C-BR* |\n| --- | --- | --- | --- | --- | --- | --- |\n| Atelectasis | 0.7158 | 0.772 | 0.8209 | 0.7453 | 0.7158 | 0.7618 |\n| Cardiomegaly | 0.8065 | 0.904 | 0.9048 | 0.8947 | 0.8777 | 0.9133 |\n| Eﬀusion | 0.7843 | 0.859 | 0.8831 | 0.8396 | 0.8507 | 0.8635 |\n| Inﬁltration | 0.6089 | 0.695 | 0.7204 | 0.67 | 0.666 | 0.6923 |\n| Mass | 0.7057 | 0.792 | 0.8618 | 0.6964 | 0.7137 | 0.7502 |\n| Nodule | 0.6706 | 0.717 | 0.7766 | 0.6134 | 0.6023 | 0.6662 |\n| Pneumonia | 0.6326 | 0.713 | 0.7632 | 0.55108 | 0.6073 | 0.7145 |\n| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 |\n| Consolidation | 0.7078 | 0.788 | 0.7939 | 0.7606 | 0.7324 | 0.7838 |\n| Edema | 0.8345 | 0.882 | 0.8932 | 0.8669 | 0.8563 | 0.8880 |\n| Emphysema | 0.8149 | 0.829 | 0.926 | 0.8474 | 0.8993 | 0.8982 |\n| Fibrosis | 0.7688 | 0.767 | 0.8044 | 0.7236 | 0.7171 | 0.7559 |\n| PT | 0.7082 | 0.765 | 0.8138 | 0.7405 | 0.7388 | 0.7739 |\n| Hernia | 0.7667 | 0.914 | 0.9387 | 0.7122 | 0.898 | 0.8024 |",0]
["| T(IoU) | Atelectasis | Cardiomegaly | Eﬀusion | Inﬁltration | Mass | Nodule |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.6888 | 0.9383 | 0.6601 | 0.7073 | 0.4000 | 0.1392 |\n| AFP | 0.8943 | 0.5996 | 0.8343 | 0.6250 | 0.6666 | 0.6077 |\n| Acc. | 0.4722 | 0.6849 | 0.4509 | 0.4796 | 0.2588 | 0.0506 |\n| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |\n| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |\n| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |\n| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |","| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |\n| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |\n| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |\n| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |\n| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |\n| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 |",1]
["| T(IoU) | Atelectasis | Cardiomegaly | Eﬀusion | Inﬁltration | Mass | Nodule |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.6888 | 0.9383 | 0.6601 | 0.7073 | 0.4000 | 0.1392 |\n| AFP | 0.8943 | 0.5996 | 0.8343 | 0.6250 | 0.6666 | 0.6077 |\n| Acc. | 0.4722 | 0.6849 | 0.4509 | 0.4796 | 0.2588 | 0.0506 |\n| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |\n| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |\n| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |\n| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |","| Pneumothorax | 0.8055 | 0.841 | 0.8932 | 0.8198 | 0.8408 | 0.8594 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Consolidation | 0.7078 | 0.788 | 0.7939 | 0.7606 | 0.7324 | 0.7838 |\n| Edema | 0.8345 | 0.882 | 0.8932 | 0.8669 | 0.8563 | 0.8880 |\n| Emphysema | 0.8149 | 0.829 | 0.926 | 0.8474 | 0.8993 | 0.8982 |\n| Fibrosis | 0.7688 | 0.767 | 0.8044 | 0.7236 | 0.7171 | 0.7559 |\n| PT | 0.7082 | 0.765 | 0.8138 | 0.7405 | 0.7388 | 0.7739 |\n| Hernia | 0.7667 | 0.914 | 0.9387 | 0.7122 | 0.898 | 0.8024 |",0]
["| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |","| 1 | 100 | 0 | 45.034 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.1 | 47.353 |",1]
["| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |\n| 1 | 300 | 0.5 | 50.632 |\n| 1 | 400 | 0.5 | 54.916 |","| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |\n| 2 | 100 | 0.5 | 35.301 |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |\n| 1 | 100 | 0 | 33.621 |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |","| 1 | 300 | 0.5 | 50.632 |\n| --- | --- | --- | --- |\n| 1 | 400 | 0.5 | 54.916 |\n| 1 | 100 | 0 | 45.034 |\n| 1 | 100 | 0.1 | 47.353 |",1]
["| 1 | 100 | 0.5 | 46.889 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 110.956 |\n| 1 | 100 | 0.5 | 135.143 |\n| 2 | 100 | 0.5 | 46.844 |\n| 3 | 100 | 0.5 | 47.029 |\n| 1 | 200 | 0.5 | 49.069 |","| 1 | 100 | 0 | 33.621 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| Database | Onenode | 4nodeswith<br>com.time | 4nodes<br>withoutcom.<br>time | com.time |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Win | Linux | Win | Linux | Win | Linux | Win | Linux |","| Drosoph | 0.08 | 0.06 | 0.038 | 0.023 | 0.0235 | 0.0188 | 0.0145 | 0.0042 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pataa | 0.5 | 0.4 | 0.1344 | 0.1 | 0.0184 | 0.014 | 0.116 | 0.086 |\n| estothers | 1 | 0.8 | 0.5799 | 0.421 | 0.0343 | 0.035 | 0.5456 | 0.386 |\n| envnr | 18 | 15 | 4.0308 | 3.5132 | 0.5308 | 0.5132 | 3.5 | 3 |\n| Nr | 27 | 24 | 7.2077 | 6.1163 | 0.4077 | 0.6163 | 6.8 | 5.5 |",1]
["| Database | Onenode | 4nodeswith<br>com.time | 4nodes<br>withoutcom.<br>time | com.time |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Win | Linux | Win | Linux | Win | Linux | Win | Linux |","| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| Database | Onenode | 4nodeswith<br>com.time | 4nodes<br>withoutcom.<br>time | com.time |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Win | Linux | Win | Linux | Win | Linux | Win | Linux |\n| Drosoph | 0.08 | 0.06 | 0.038 | 0.023 | 0.0235 | 0.0188 | 0.0145 | 0.0042 |\n| Pataa | 0.5 | 0.4 | 0.1344 | 0.1 | 0.0184 | 0.014 | 0.116 | 0.086 |\n| estothers | 1 | 0.8 | 0.5799 | 0.421 | 0.0343 | 0.035 | 0.5456 | 0.386 |","| envnr | 18 | 15 | 4.0308 | 3.5132 | 0.5308 | 0.5132 | 3.5 | 3 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Nr | 27 | 24 | 7.2077 | 6.1163 | 0.4077 | 0.6163 | 6.8 | 5.5 |",1]
["| Database | Onenode | 4nodeswith<br>com.time | 4nodes<br>withoutcom.<br>time | com.time |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Win | Linux | Win | Linux | Win | Linux | Win | Linux |\n| Drosoph | 0.08 | 0.06 | 0.038 | 0.023 | 0.0235 | 0.0188 | 0.0145 | 0.0042 |\n| Pataa | 0.5 | 0.4 | 0.1344 | 0.1 | 0.0184 | 0.014 | 0.116 | 0.086 |\n| estothers | 1 | 0.8 | 0.5799 | 0.421 | 0.0343 | 0.035 | 0.5456 | 0.386 |","| 38 | 741 | 643.8 | 0.87 |\n| --- | --- | --- | --- |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  | Factor1:EaseofUse | Factor2:CognitiveEﬀorts | Factor3:Trust |\n| Convenient | 0.91 | 0.05 | -0.02 |\n| Quick | 0.84 | -0.12 | -0.15 |\n| Enjoy | 0.77 | 0.15 | 0.12 |\n| Reuse | 0.75 | 0.04 | 0.19 |\n| Helpful | 0.72 | 0.02 | 0.17 |\n| NoEnjoy | -0.52 | 0.22 | -0.16 |\n| UserFriendly | 0.42 | -0.19 | 0.37 |\n| NeedInstructions | 0.15 | 0.80 | -0.12 |\n| Concentrate | 0.03 | 0.64 | 0.14 |\n| Stressful | -0.41 | 0.51 | 0.01 |\n| Match | -0.30 | 0.42 | -0.15 |\n| Frustrating | -0.47 | 0.47 | 0.00 |","| Trust | 0.08 | -0.04 | 0.80 |\n| --- | --- | --- | --- |\n| Secure | -0.02 | 0.03 | 0.82 |\n| Easy | 0.27 | -0.28 | 0.31 |\n| Eigenvalues | 7.52 | 1.78 | 1.03 |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  | Factor1:EaseofUse | Factor2:CognitiveEﬀorts | Factor3:Trust |\n| Convenient | 0.91 | 0.05 | -0.02 |\n| Quick | 0.84 | -0.12 | -0.15 |\n| Enjoy | 0.77 | 0.15 | 0.12 |\n| Reuse | 0.75 | 0.04 | 0.19 |\n| Helpful | 0.72 | 0.02 | 0.17 |\n| NoEnjoy | -0.52 | 0.22 | -0.16 |\n| UserFriendly | 0.42 | -0.19 | 0.37 |\n| NeedInstructions | 0.15 | 0.80 | -0.12 |\n| Concentrate | 0.03 | 0.64 | 0.14 |\n| Stressful | -0.41 | 0.51 | 0.01 |\n| Match | -0.30 | 0.42 | -0.15 |\n| Frustrating | -0.47 | 0.47 | 0.00 |","| SearchScore | ScoreChange | DiscountFactor | ContributiontoTotalError |\n| --- | --- | --- | --- |\n| 10 | 0 | 0.7 | 0 |\n| 20 | 10 | 0.7 | 7 |\n| 20 | 0 | 0.7 | 0 |\n| 20 | 0 | 0.7 | 0 |\n| -10 | -30 | 0.7 | -7.2 |\n| -10 | 0 | 0.7 | 0 |\n| -10 | 0 | 0.7 | 0 |\n| 40 | 50 | 0.7 | 4.12 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |",0]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  | Factor1:EaseofUse | Factor2:CognitiveEﬀorts | Factor3:Trust |\n| Convenient | 0.91 | 0.05 | -0.02 |\n| Quick | 0.84 | -0.12 | -0.15 |","| Enjoy | 0.77 | 0.15 | 0.12 |\n| --- | --- | --- | --- |\n| Reuse | 0.75 | 0.04 | 0.19 |\n| Helpful | 0.72 | 0.02 | 0.17 |\n| NoEnjoy | -0.52 | 0.22 | -0.16 |\n| UserFriendly | 0.42 | -0.19 | 0.37 |\n| NeedInstructions | 0.15 | 0.80 | -0.12 |\n| Concentrate | 0.03 | 0.64 | 0.14 |\n| Stressful | -0.41 | 0.51 | 0.01 |\n| Match | -0.30 | 0.42 | -0.15 |\n| Frustrating | -0.47 | 0.47 | 0.00 |\n| Trust | 0.08 | -0.04 | 0.80 |\n| Secure | -0.02 | 0.03 | 0.82 |\n| Easy | 0.27 | -0.28 | 0.31 |\n| Eigenvalues | 7.52 | 1.78 | 1.03 |",1]
["|  |  |  |  |\n| --- | --- | --- | --- |\n|  | Factor1:EaseofUse | Factor2:CognitiveEﬀorts | Factor3:Trust |\n| Convenient | 0.91 | 0.05 | -0.02 |\n| Quick | 0.84 | -0.12 | -0.15 |","| 40 | 50 | 0.7 | 4.12 |\n| --- | --- | --- | --- |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |\n| 40 | 0 | 0.7 | 0 |",0]
["| Euro2016TrainModel-J48 |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.990 | 0.986 | 0.986 |\n| 2 | 0.978 | 0.977 | 0.977 |\n| 3 | 0.990 | 0.990 | 0.990 |","| 4 | 0.994 | 0.994 | 0.994 |\n| --- | --- | --- | --- |\n| 5 | 0.996 | 0.996 | 0.996 |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.996 | 0.996 | 0.996 |\n| 8 | 0.997 | 0.997 | 0.997 |\n| 9 | 0.997 | 0.997 | 0.997 |\n| 10 | 0.998 | 0.998 | 0.998 |",1]
["| Euro2016TrainModel-J48 |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.990 | 0.986 | 0.986 |\n| 2 | 0.978 | 0.977 | 0.977 |\n| 3 | 0.990 | 0.990 | 0.990 |","| Euro2016TrainModel-MLP |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.988 | 0.975 | 0.978 |\n| 2 | 0.987 | 0.987 | 0.987 |\n| 3 | 0.993 | 0.993 | 0.993 |\n| 4 | 0.994 | 0.994 | 0.994 |\n| 5 | 0.994 | 0.994 | 0.994 |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.9975 | 0.9975 | 0.9975 |\n| 8 | 0.996 | 0.996 | 0.996 |\n| 9 | 0.995 | 0.995 | 0.995 |\n| 10 | 0.9978 | 0.9978 | 0.9978 |",0]
["| Euro2016TrainModel-J48 |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.990 | 0.986 | 0.986 |\n| 2 | 0.978 | 0.977 | 0.977 |\n| 3 | 0.990 | 0.990 | 0.990 |","| 4 | 0.994 | 0.994 | 0.994 |\n| --- | --- | --- | --- |\n| 5 | 0.996 | 0.996 | 0.996 |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.996 | 0.996 | 0.996 |\n| 8 | 0.997 | 0.997 | 0.997 |\n| 9 | 0.997 | 0.997 | 0.997 |\n| 10 | 0.998 | 0.998 | 0.998 |",1]
["| Euro2016TrainModel-J48 |  |  |  |\n| --- | --- | --- | --- |\n| Time | Precision | Recall | F-Measure |\n| 1 | 0.990 | 0.986 | 0.986 |\n| 2 | 0.978 | 0.977 | 0.977 |\n| 3 | 0.990 | 0.990 | 0.990 |","| 4 | 0.994 | 0.994 | 0.994 |\n| --- | --- | --- | --- |\n| 5 | 0.994 | 0.994 | 0.994 |\n| 6 | 0.995 | 0.995 | 0.995 |\n| 7 | 0.9975 | 0.9975 | 0.9975 |\n| 8 | 0.996 | 0.996 | 0.996 |\n| 9 | 0.995 | 0.995 | 0.995 |\n| 10 | 0.9978 | 0.9978 | 0.9978 |",0]
["| PRID | iLIDS-VID |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| fusemethod | r1 | r5 | r10 | r20 | r1 | r5 | r10 | r20 | mAP | r1 |\n| image<br>max-pool<br>avg-pool | 29.21<br>24.72<br>47.19 | 58.43<br>47.19<br>70.79 | 75.28<br>68.54<br>77.53 | 84.27<br>86.52<br>86.52 | 8.00<br>4.00<br>12.67 | 22.00<br>12.00<br>22.67 | 30.00<br>19.33<br>29.33 | 39.33<br>24.00<br>40.67 | 6.07<br>6.26<br>9.54 | 17.68<br>17.83<br>23.74 |","| image<br>max-pool<br>avg-pool<br>TPP | 62.92<br>75.28<br>77.53<br>78.65 | 88.67<br>97.75<br>97.75<br>98.88 | 96.63<br>98.88<br>100<br>100 | 98.88<br>100<br>100<br>100 | 26.67<br>52.00<br>53.33<br>54.67 | 52.67<br>76.67<br>77.33<br>78.67 | 63.33<br>86.67<br>88.67<br>88.67 | 74.67<br>92.00<br>93.33<br>93.33 | 35.00<br>44.74<br>51.47<br>51.95 | 52.58<br>65.91<br>67.08<br>68.54 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| image<br>max-pool<br>avg-pool | 64.04<br>79.77<br>80.90 | 88.67<br>98.88<br>100 | 97.75<br>100<br>100 | 98.88<br>100<br>100 | 28.00<br>54.67<br>55.33 | 60.00<br>78.00<br>78.67 | 72.00<br>89.33<br>88.67 | 84.67<br>95.33<br>96.67 | 35.64<br>50.06<br>52.00 | 53.43<br>68.69<br>68.79 |\n| TPP | 82.02 | 100 | 100 | 100 | 56.67 | 78.67 | 90.00 | 96.67 | 52.55 | 69.69 |",1]
["| PRID | iLIDS-VID |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| fusemethod | r1 | r5 | r10 | r20 | r1 | r5 | r10 | r20 | mAP | r1 |\n| image<br>max-pool<br>avg-pool | 29.21<br>24.72<br>47.19 | 58.43<br>47.19<br>70.79 | 75.28<br>68.54<br>77.53 | 84.27<br>86.52<br>86.52 | 8.00<br>4.00<br>12.67 | 22.00<br>12.00<br>22.67 | 30.00<br>19.33<br>29.33 | 39.33<br>24.00<br>40.67 | 6.07<br>6.26<br>9.54 | 17.68<br>17.83<br>23.74 |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| PRID | iLIDS-VID |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| fusemethod | r1 | r5 | r10 | r20 | r1 | r5 | r10 | r20 | mAP | r1 |","| image<br>max-pool<br>avg-pool | 29.21<br>24.72<br>47.19 | 58.43<br>47.19<br>70.79 | 75.28<br>68.54<br>77.53 | 84.27<br>86.52<br>86.52 | 8.00<br>4.00<br>12.67 | 22.00<br>12.00<br>22.67 | 30.00<br>19.33<br>29.33 | 39.33<br>24.00<br>40.67 | 6.07<br>6.26<br>9.54 | 17.68<br>17.83<br>23.74 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| image<br>max-pool<br>avg-pool<br>TPP | 62.92<br>75.28<br>77.53<br>78.65 | 88.67<br>97.75<br>97.75<br>98.88 | 96.63<br>98.88<br>100<br>100 | 98.88<br>100<br>100<br>100 | 26.67<br>52.00<br>53.33<br>54.67 | 52.67<br>76.67<br>77.33<br>78.67 | 63.33<br>86.67<br>88.67<br>88.67 | 74.67<br>92.00<br>93.33<br>93.33 | 35.00<br>44.74<br>51.47<br>51.95 | 52.58<br>65.91<br>67.08<br>68.54 |\n| image<br>max-pool<br>avg-pool | 64.04<br>79.77<br>80.90 | 88.67<br>98.88<br>100 | 97.75<br>100<br>100 | 98.88<br>100<br>100 | 28.00<br>54.67<br>55.33 | 60.00<br>78.00<br>78.67 | 72.00<br>89.33<br>88.67 | 84.67<br>95.33<br>96.67 | 35.64<br>50.06<br>52.00 | 53.43<br>68.69<br>68.79 |\n| TPP | 82.02 | 100 | 100 | 100 | 56.67 | 78.67 | 90.00 | 96.67 | 52.55 | 69.69 |",1]
["| PRID | iLIDS-VID |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| fusemethod | r1 | r5 | r10 | r20 | r1 | r5 | r10 | r20 | mAP | r1 |","| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| Memory(MB) | Priceper100ms($) |\n| --- | --- |\n| 128 | 0.000000208 |\n| 256 | 0.000000417 |\n| 384 | 0.000000625 |\n| 512 | 0.000000834 |\n| 640 | 0.000001042 |\n| 768 | 0.00000125 |\n| 896 | 0.000001459 |\n| 1024 | 0.000001667 |","| 1152 | 0.000001875 |\n| --- | --- |\n| 1280 | 0.000002084 |\n| 1408 | 0.000002292 |\n| 1536 | 0.000002501 |",1]
["| Memory(MB) | Priceper100ms($) |\n| --- | --- |\n| 128 | 0.000000208 |\n| 256 | 0.000000417 |\n| 384 | 0.000000625 |\n| 512 | 0.000000834 |\n| 640 | 0.000001042 |\n| 768 | 0.00000125 |\n| 896 | 0.000001459 |\n| 1024 | 0.000001667 |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |\n| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| Memory(MB) | Priceper100ms($) |\n| --- | --- |\n| 128 | 0.000000208 |\n| 256 | 0.000000417 |\n| 384 | 0.000000625 |\n| 512 | 0.000000834 |\n| 640 | 0.000001042 |\n| 768 | 0.00000125 |","| 896 | 0.000001459 |\n| --- | --- |\n| 1024 | 0.000001667 |\n| 1152 | 0.000001875 |\n| 1280 | 0.000002084 |\n| 1408 | 0.000002292 |\n| 1536 | 0.000002501 |",1]
["| Memory(MB) | Priceper100ms($) |\n| --- | --- |\n| 128 | 0.000000208 |\n| 256 | 0.000000417 |\n| 384 | 0.000000625 |\n| 512 | 0.000000834 |\n| 640 | 0.000001042 |\n| 768 | 0.00000125 |","| 2 | 0.315 | 97Mb | 2 | 0.345 | 256Mb |\n| --- | --- | --- | --- | --- | --- |\n| 2 | 0.282 | 388Mb | 2 | 0.321 | 1024Mb |\n| 2 | 0.259 | 1552Mb | 2 | 0.305 | 4096Mb |",0]
["| Model | SST-1 | SST-2 | IMDB | Books | DVDs | Electronics | Kitchen | QC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NBOW | 42.4 | 80.5 | 83.62 | - | - | - | - | 88.2 |\n| PV | 44.6 | 82.7 | 91.7 | - | - | - | - | 91.8 |\n| MT-RNN | 49.6 | 87.9 | 91.3 | - | - | - | - | - |","| MT-CNN | - | - | - | 80.2 | 81.0 | 83.4 | 83.0 | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MT-DNN | - | - | - | 79.7 | 80.5 | 82.5 | 82.8 | - |\n| GRNN | 47.5 | 85.5 | - | - | - | - | - | 93.8 |\n| OurModel | 49.2 | 87.7 | 91.6 | 83.5 | 84.0 | 86.2 | 84.8 | 92.3 |",1]
["| Model | SST-1 | SST-2 | IMDB | Books | DVDs | Electronics | Kitchen | QC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NBOW | 42.4 | 80.5 | 83.62 | - | - | - | - | 88.2 |\n| PV | 44.6 | 82.7 | 91.7 | - | - | - | - | 91.8 |\n| MT-RNN | 49.6 | 87.9 | 91.3 | - | - | - | - | - |","| Model | WERSWB | WERCH |  |  |\n| --- | --- | --- | --- | --- |\n| CE | ST | CE | ST |  |\n| CNN | 12.6 | 10.4 | 18.4 | 17.9 |\n| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |\n| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |\n| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",0]
["| Model | SST-1 | SST-2 | IMDB | Books | DVDs | Electronics | Kitchen | QC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NBOW | 42.4 | 80.5 | 83.62 | - | - | - | - | 88.2 |\n| PV | 44.6 | 82.7 | 91.7 | - | - | - | - | 91.8 |","| MT-RNN | 49.6 | 87.9 | 91.3 | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MT-CNN | - | - | - | 80.2 | 81.0 | 83.4 | 83.0 | - |\n| MT-DNN | - | - | - | 79.7 | 80.5 | 82.5 | 82.8 | - |\n| GRNN | 47.5 | 85.5 | - | - | - | - | - | 93.8 |\n| OurModel | 49.2 | 87.7 | 91.6 | 83.5 | 84.0 | 86.2 | 84.8 | 92.3 |",1]
["| Model | SST-1 | SST-2 | IMDB | Books | DVDs | Electronics | Kitchen | QC |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| NBOW | 42.4 | 80.5 | 83.62 | - | - | - | - | 88.2 |\n| PV | 44.6 | 82.7 | 91.7 | - | - | - | - | 91.8 |","| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |\n| --- | --- | --- | --- | --- |\n| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",0]
["| Dataset | #Updates | LT | IC |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Total | ST | Total | ST |  |  |\n| wiki-Vote | 2.1×10 | 11.3 | 2.3 | 29.3 | 8.2 |\n| Flixster | 2.2×10 | 266 | 28 | 522 | 85 |\n| soc-Pokec | 6.4×10 | 3165 | 311 | 4461 | 735 |","| ﬂickr-growth | 7.8×10 | 1908 | 201 | 3223 | 935 |\n| --- | --- | --- | --- | --- | --- |\n| Twitter | 3.0×10 | 15369 | 375 | 19803 | 4770 |",1]
["| Dataset | #Updates | LT | IC |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Total | ST | Total | ST |  |  |\n| wiki-Vote | 2.1×10 | 11.3 | 2.3 | 29.3 | 8.2 |\n| Flixster | 2.2×10 | 266 | 28 | 522 | 85 |\n| soc-Pokec | 6.4×10 | 3165 | 311 | 4461 | 735 |","| Network | Vertices | Edges | τ | IMQueries | kmax |\n| --- | --- | --- | --- | --- | --- |\n| wiki-Vote | 7K | 104K | 10 | 212 | 50 |\n| Flixster | 99K | 978K | 10 | 223 | 100 |\n| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |\n| ﬂickr-growth | 2.3M | 33M | 10 | 779 | 200 |\n| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 |",0]
["| Dataset | #Updates | LT | IC |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Total | ST | Total | ST |  |  |\n| wiki-Vote | 2.1×10 | 11.3 | 2.3 | 29.3 | 8.2 |","| Flixster | 2.2×10 | 266 | 28 | 522 | 85 |\n| --- | --- | --- | --- | --- | --- |\n| soc-Pokec | 6.4×10 | 3165 | 311 | 4461 | 735 |\n| ﬂickr-growth | 7.8×10 | 1908 | 201 | 3223 | 935 |\n| Twitter | 3.0×10 | 15369 | 375 | 19803 | 4770 |",1]
["| Dataset | #Updates | LT | IC |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Total | ST | Total | ST |  |  |\n| wiki-Vote | 2.1×10 | 11.3 | 2.3 | 29.3 | 8.2 |","| soc-Pokec | 1.6M | 31M | 10 | 636 | 200 |\n| --- | --- | --- | --- | --- | --- |\n| ﬂickr-growth | 2.3M | 33M | 10 | 779 | 200 |\n| Twitter | 41.6M | 1.5G | 10 | 3011 | 500 |",0]
["|  | VGG-F | CaﬀeNet | GoogLeNet | VGG-16 | VGG-19 | ResNet-152 | Mean |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline | 12.62 | 12.9 | 10.29 | 8.62 | 8.40 | 8.99 | 10.30 |\n| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |","| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",1]
["|  | VGG-F | CaﬀeNet | GoogLeNet | VGG-16 | VGG-19 | ResNet-152 | Mean |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline | 12.62 | 12.9 | 10.29 | 8.62 | 8.40 | 8.99 | 10.30 |\n| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["|  | VGG-F | CaﬀeNet | GoogLeNet | VGG-16 | VGG-19 | ResNet-152 | Mean |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline | 12.62 | 12.9 | 10.29 | 8.62 | 8.40 | 8.99 | 10.30 |","| FFF(w/oData) | 81.59 | 80.92 | 56.44 | 47.10 | 43.62 | 29.78 | 56.58 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours(w/oData) | 92.37 | 89.04 | 75.28 | 71.59 | 69.45 | 60.72 | 76.41 |\n| UAP(wData) | 93.8 | 93.1 | 78.5 | 77.8 | 80.8 | 84.0 | 84.67 |",1]
["|  | VGG-F | CaﬀeNet | GoogLeNet | VGG-16 | VGG-19 | ResNet-152 | Mean |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Baseline | 12.62 | 12.9 | 10.29 | 8.62 | 8.40 | 8.99 | 10.30 |","| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| Resource | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 528 | 546 | 5764 | 5837 |\n| REGs | 534 | 575 | 4504 | 4892 |","| BRAM(bits) | 5418 | 5400 | 11304 | 11250 |\n| --- | --- | --- | --- | --- |\n| DSPs | 0 | 0 | 0 | 0 |\n| Cycles/Kernel | 292 | 308 | 180 | 185 |\n| EWGT | 57K | 43K | 92K | 72K |",1]
["| Resource | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 528 | 546 | 5764 | 5837 |\n| REGs | 534 | 575 | 4504 | 4892 |","| Parameter | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 82 | 83 | 36.3K | 37.6K |\n| REGs | 172 | 177 | 18.6K | 19.1K |\n| BRAM(bits) | 7.20K | 7.27K | 216K | 221K |\n| DSPs | 1 | 1 | 4 | 4 |\n| Cycles/Kernel | 1003 | 1008 | 250 | 258 |\n| EWGT | 249K | 292K | 997K | 826K |",0]
["| Resource | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 528 | 546 | 5764 | 5837 |\n| REGs | 534 | 575 | 4504 | 4892 |","| BRAM(bits) | 5418 | 5400 | 11304 | 11250 |\n| --- | --- | --- | --- | --- |\n| DSPs | 0 | 0 | 0 | 0 |\n| Cycles/Kernel | 292 | 308 | 180 | 185 |\n| EWGT | 57K | 43K | 92K | 72K |",1]
["| Resource | C2(E) | C2(A) | C1(E) | C1(A) |\n| --- | --- | --- | --- | --- |\n| ALUTs | 528 | 546 | 5764 | 5837 |\n| REGs | 534 | 575 | 4504 | 4892 |","| DSPs | 1 | 1 | 4 | 4 |\n| --- | --- | --- | --- | --- |\n| Cycles/Kernel | 1003 | 1008 | 250 | 258 |\n| EWGT | 249K | 292K | 997K | 826K |",0]
["| 2Dvs2.5Dvs3D |  |  |  |\n| --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |","|  | Mean | Std | Mean | Std | Mean | Std |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |\n| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |\n| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |\n| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |\n| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |\n| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |\n| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |\n| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |\n| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |\n| --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |","| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |\n| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |\n| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |\n| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |\n| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |\n| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |\n| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |\n| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 |\n| 9 | 174.44,124.41 | 158.03,90.47 | 474.84,309.11 | 293.31,197.14 | 471.45,348.61 | 273.68,197.46 |\n| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |\n| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |\n| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |\n| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |\n| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |\n| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |\n| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |","| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |\n| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |\n| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |\n| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |\n| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |\n| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |\n| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |","| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 |",0]
["| Databases | Populationsize | Train/Testsizes | Pre-processing |  |\n| --- | --- | --- | --- | --- |\n| ECG | PTB<br>Capnobase<br>CASIAV1<br>FVC2004-DB3 | 52<br>42<br>108<br>100 | 52*1000/1560*1000<br>42*700/840*700<br>108*4800/756*4800<br>100*6056/800*6056 | FIRﬁlter,Rpeakdet.,Segmentation<br>Butterworth,Peakdet.,Segmentation<br>Localization<br>Normalization,Orientation |\n| PPG |  |  |  |  |","| Iris |\n| --- |\n| Finger |",1]
["| Databases | Populationsize | Train/Testsizes | Pre-processing |  |\n| --- | --- | --- | --- | --- |\n| ECG | PTB<br>Capnobase<br>CASIAV1<br>FVC2004-DB3 | 52<br>42<br>108<br>100 | 52*1000/1560*1000<br>42*700/840*700<br>108*4800/756*4800<br>100*6056/800*6056 | FIRﬁlter,Rpeakdet.,Segmentation<br>Butterworth,Peakdet.,Segmentation<br>Localization<br>Normalization,Orientation |\n| PPG |  |  |  |  |","| UCIDataset | Acronym | Targetclass | #Target | #Non-target | #Params |\n| --- | --- | --- | --- | --- | --- |\n| Low-dimensional |  |  |  |  |  |\n| Abalone<br>Biomed<br>BreastWisconsin<br>Diabetes(primaindians)<br>Ecoli<br>Iris<br>Liver | AB<br>BI<br>BW<br>D<br>E<br>I<br>L | 1<br>normal<br>benign<br>present<br>pp<br>Iris-setosa<br>healthy | 1407<br>127<br>458<br>500<br>52<br>50<br>200 | 2770<br>67<br>241<br>268<br>284<br>100<br>145 | 10<br>5<br>9<br>8<br>7<br>4<br>6 |\n| High-dimensional |  |  |  |  |  |\n| Arrhythmia<br>Breastcancerwisconsin(diagnostic)<br>Breastcancerwisconsin(prognostic)<br>Colon<br>Concordia<br>Sonar<br>Spectf | AR<br>BC-D<br>BC-P<br>C<br>CO<br>S<br>SP | normal<br>B<br>N<br>normal<br>2<br>M<br>0 | 237<br>357<br>151<br>22<br>400<br>111<br>95 | 183<br>212<br>47<br>40<br>3600<br>97<br>254 | 278<br>30<br>33<br>1908<br>1024<br>60<br>44 |",0]
["| Databases | Populationsize | Train/Testsizes | Pre-processing |  |\n| --- | --- | --- | --- | --- |\n| ECG | PTB<br>Capnobase<br>CASIAV1<br>FVC2004-DB3 | 52<br>42<br>108<br>100 | 52*1000/1560*1000<br>42*700/840*700<br>108*4800/756*4800<br>100*6056/800*6056 | FIRﬁlter,Rpeakdet.,Segmentation<br>Butterworth,Peakdet.,Segmentation<br>Localization<br>Normalization,Orientation |\n| PPG |  |  |  |  |","| Iris |\n| --- |\n| Finger |",1]
["| Databases | Populationsize | Train/Testsizes | Pre-processing |  |\n| --- | --- | --- | --- | --- |\n| ECG | PTB<br>Capnobase<br>CASIAV1<br>FVC2004-DB3 | 52<br>42<br>108<br>100 | 52*1000/1560*1000<br>42*700/840*700<br>108*4800/756*4800<br>100*6056/800*6056 | FIRﬁlter,Rpeakdet.,Segmentation<br>Butterworth,Peakdet.,Segmentation<br>Localization<br>Normalization,Orientation |\n| PPG |  |  |  |  |","| Abalone<br>Biomed<br>BreastWisconsin<br>Diabetes(primaindians)<br>Ecoli<br>Iris<br>Liver | AB<br>BI<br>BW<br>D<br>E<br>I<br>L | 1<br>normal<br>benign<br>present<br>pp<br>Iris-setosa<br>healthy | 1407<br>127<br>458<br>500<br>52<br>50<br>200 | 2770<br>67<br>241<br>268<br>284<br>100<br>145 | 10<br>5<br>9<br>8<br>7<br>4<br>6 |\n| --- | --- | --- | --- | --- | --- |\n| High-dimensional |  |  |  |  |  |\n| Arrhythmia<br>Breastcancerwisconsin(diagnostic)<br>Breastcancerwisconsin(prognostic)<br>Colon<br>Concordia<br>Sonar<br>Spectf | AR<br>BC-D<br>BC-P<br>C<br>CO<br>S<br>SP | normal<br>B<br>N<br>normal<br>2<br>M<br>0 | 237<br>357<br>151<br>22<br>400<br>111<br>95 | 183<br>212<br>47<br>40<br>3600<br>97<br>254 | 278<br>30<br>33<br>1908<br>1024<br>60<br>44 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.267<br>14.88414.574<br>1.1061.052<br>4.7514.653<br>20.94719.971 | 0.5362.40.929<br>3.6144.17.481<br>0.4232.60.608<br>1.2333.94.254<br>4.3024.910.399 | 0.6761.9<br>2.8965.1<br>0.4362.5<br>1.0694.4<br>4.1195.1 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2821.260<br>14.34913.993<br>1.0561.058<br>4.7334.503<br>19.98919.233 | 0.4662.81.092<br>3.4294.29.069<br>0.4072.60.621<br>1.2943.72.840<br>4.8624.19.264 | 0.5682.3<br>2.6995.3<br>0.4062.6<br>1.3683.5<br>4.2794.7 |","| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2901.211<br>14.73214.026<br>1.0710.967<br>4.6694.515<br>20.65519.030 | 0.3443.70.734<br>3.1534.78.399<br>0.3553.01.102<br>1.1384.12.498<br>3.9335.39.265 | 0.7341.8<br>3.0964.8<br>0.5312.0<br>1.2943.6<br>3.8355.4 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.88914.793<br>1.0631.058<br>4.5964.631<br>19.12919.659 | 0.6092.00.762<br>3.8203.66.676<br>0.3992.71.182<br>1.1214.13.654<br>4.6134.110.233 | 0.7321.6<br>3.1174.5<br>0.5751.8<br>1.4053.3<br>3.9554.8 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.267<br>14.88414.574<br>1.1061.052<br>4.7514.653<br>20.94719.971 | 0.5362.40.929<br>3.6144.17.481<br>0.4232.60.608<br>1.2333.94.254<br>4.3024.910.399 | 0.6761.9<br>2.8965.1<br>0.4362.5<br>1.0694.4<br>4.1195.1 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2821.260<br>14.34913.993<br>1.0561.058<br>4.7334.503<br>19.98919.233 | 0.4662.81.092<br>3.4294.29.069<br>0.4072.60.621<br>1.2943.72.840<br>4.8624.19.264 | 0.5682.3<br>2.6995.3<br>0.4062.6<br>1.3683.5<br>4.2794.7 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.268<br>14.89014.575<br>1.1061.053<br>4.7514.653<br>20.94819.972 | 0.5812.21.254<br>3.7104.011.836<br>0.4572.41.116<br>1.2913.74.756<br>4.4664.718.034 | 0.7821.7<br>3.1644.7<br>0.5022.2<br>1.2523.8<br>4.4274.7 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2831.260<br>14.35613.994<br>1.0561.058<br>4.7344.503<br>19.99719.244 | 0.5032.61.341<br>3.5404.112.216<br>0.4782.21.055<br>1.3423.54.381<br>5.1603.916.887 | 0.6472.0<br>2.9024.9<br>0.5172.0<br>1.7992.6<br>4.7184.2 |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.267<br>14.88414.574<br>1.1061.052<br>4.7514.653<br>20.94719.971 | 0.5362.40.929<br>3.6144.17.481<br>0.4232.60.608<br>1.2333.94.254<br>4.3024.910.399 | 0.6761.9<br>2.8965.1<br>0.4362.5<br>1.0694.4<br>4.1195.1 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2821.260<br>14.34913.993<br>1.0561.058<br>4.7334.503<br>19.98919.233 | 0.4662.81.092<br>3.4294.29.069<br>0.4072.60.621<br>1.2943.72.840<br>4.8624.19.264 | 0.5682.3<br>2.6995.3<br>0.4062.6<br>1.3683.5<br>4.2794.7 |","| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2901.211<br>14.73214.026<br>1.0710.967<br>4.6694.515<br>20.65519.030 | 0.3443.70.734<br>3.1534.78.399<br>0.3553.01.102<br>1.1384.12.498<br>3.9335.39.265 | 0.7341.8<br>3.0964.8<br>0.5312.0<br>1.2943.6<br>3.8355.4 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.88914.793<br>1.0631.058<br>4.5964.631<br>19.12919.659 | 0.6092.00.762<br>3.8203.66.676<br>0.3992.71.182<br>1.1214.13.654<br>4.6134.110.233 | 0.7321.6<br>3.1174.5<br>0.5751.8<br>1.4053.3<br>3.9554.8 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.267<br>14.88414.574<br>1.1061.052<br>4.7514.653<br>20.94719.971 | 0.5362.40.929<br>3.6144.17.481<br>0.4232.60.608<br>1.2333.94.254<br>4.3024.910.399 | 0.6761.9<br>2.8965.1<br>0.4362.5<br>1.0694.4<br>4.1195.1 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2821.260<br>14.34913.993<br>1.0561.058<br>4.7334.503<br>19.98919.233 | 0.4662.81.092<br>3.4294.29.069<br>0.4072.60.621<br>1.2943.72.840<br>4.8624.19.264 | 0.5682.3<br>2.6995.3<br>0.4062.6<br>1.3683.5<br>4.2794.7 |","| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 |",0]
["| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |\n| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |","| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",1]
["| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |\n| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |","| AND | inG | Time<br>Node | Time<br>Node | Time<br>Node | Time<br>Node |\n| --- | --- | --- | --- | --- | --- |\n| 30 | 1000 | 21<br>1415 | 14<br>3312 | 2<br>2052 | 1<br>849 |\n| 2000 | 73<br>2919 | 62<br>6949 | 9<br>4946 | 3<br>1576 |  |\n| 3000 | 157<br>4460 | 144<br>10732 | 20<br>8602 | 7<br>2461 |  |\n| 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 |\n| 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 |  |\n| 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 |  |",0]
["| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |\n| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |","| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",1]
["| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |\n| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |","| 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 |\n| --- | --- | --- | --- | --- | --- |\n| 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 |  |\n| 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 |  |",0]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28.6 | 32.9 | 32.8 | 33.9 | 47.1 | 40.4 | 0.5 | 15.0 | 9.5 |\n| 7.1 | 9.2 | 3.0 | 0.0 | 10.9 | 13.5 | 0.1 | 0.2 | 9.1 |\n| 14.1 | 4.7 | 9.1 | 0.4 | 18.3 | 22.9 | 3.0 | 0.2 | 4.0 |","| 51.9 | 44.8 | 41.1 | 38.1 | 53.3 | 52.5 | 11.8 | 28.9 | 18.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 52.7 | 39.9 | 49.7 | 36.5 | 48.4 | 62.7 | 14.8 | 29.8 | 18.6 |\n| 25.4 | 11.8 | 4.7 | 0.6 | 17.9 | 44.2 | 1.6 | 0.9 | 15.5 |",1]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28.6 | 32.9 | 32.8 | 33.9 | 47.1 | 40.4 | 0.5 | 15.0 | 9.5 |\n| 7.1 | 9.2 | 3.0 | 0.0 | 10.9 | 13.5 | 0.1 | 0.2 | 9.1 |\n| 14.1 | 4.7 | 9.1 | 0.4 | 18.3 | 22.9 | 3.0 | 0.2 | 4.0 |","| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 15.4<br>52.9 | 4.6<br>40.5 | 7.6<br>46.4 | 0.0<br>27.7 | 9.1<br>53.2 | 0.5<br>48.0 | 9.1<br>12.6 | 4.5<br>25.9 | 9.1<br>17.4 |\n| 13.6<br>56.7 | 9.2<br>37.5 | 11.5<br>44.7 | 3.0<br>30.7 | 13.6<br>55.1 | 10.8<br>55.4 | 0.3<br>4.2 | 9.1<br>35.3 | 9.1<br>24.5 |\n| 4.6<br>55.7 | 4.6<br>35.3 | 3.0<br>46.3 | 2.3<br>31.2 | 9.1<br>54.7 | 1.2<br>49.0 | 0.0<br>10.6 | 0.0<br>30.6 | 9.1<br>13.2 |\n| 3.9<br>58.8 | 1.7<br>34.7 | 9.1<br>44.2 | 0.0<br>35.3 | 9.1<br>47.9 | 3.5<br>55.7 | 0.0<br>6.0 | 0.0<br>24.0 | 9.1<br>16.2 |\n| 7.1<br>51.9 | 9.2<br>44.8 | 3.0<br>41.1 | 0.0<br>38.1 | 10.9<br>53.3 | 13.5<br>52.5 | 0.1<br>11.8 | 0.2<br>28.9 | 9.1<br>18.4 |",0]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28.6 | 32.9 | 32.8 | 33.9 | 47.1 | 40.4 | 0.5 | 15.0 | 9.5 |","| 7.1 | 9.2 | 3.0 | 0.0 | 10.9 | 13.5 | 0.1 | 0.2 | 9.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 14.1 | 4.7 | 9.1 | 0.4 | 18.3 | 22.9 | 3.0 | 0.2 | 4.0 |\n| 51.9 | 44.8 | 41.1 | 38.1 | 53.3 | 52.5 | 11.8 | 28.9 | 18.4 |\n| 52.7 | 39.9 | 49.7 | 36.5 | 48.4 | 62.7 | 14.8 | 29.8 | 18.6 |\n| 25.4 | 11.8 | 4.7 | 0.6 | 17.9 | 44.2 | 1.6 | 0.9 | 15.5 |",1]
["| Adidas | Chanel | Gucci | HH | Lacoste | MK | Nike | Prada | Puma |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 28.6 | 32.9 | 32.8 | 33.9 | 47.1 | 40.4 | 0.5 | 15.0 | 9.5 |","| 3.9<br>58.8 | 1.7<br>34.7 | 9.1<br>44.2 | 0.0<br>35.3 | 9.1<br>47.9 | 3.5<br>55.7 | 0.0<br>6.0 | 0.0<br>24.0 | 9.1<br>16.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7.1<br>51.9 | 9.2<br>44.8 | 3.0<br>41.1 | 0.0<br>38.1 | 10.9<br>53.3 | 13.5<br>52.5 | 0.1<br>11.8 | 0.2<br>28.9 | 9.1<br>18.4 |",0]
["| Science |  |  |  |\n| --- | --- | --- | --- |\n| Language | Positive | Negative | Ambiguous |","| Swedish | 0.14 | 0.19 | 0.67 |\n| --- | --- | --- | --- |\n| German | 0.65 | 0.16 | 0.19 |\n| Italian | 0.53 | 0.25 | 0.22 |\n| English | 0.60 | 0.26 | 0.14 |\n| Politics |  |  |  |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.48 | 0.28 | 0.24 |\n| German | 0.34 | 0.34 | 0.31 |\n| Italian | 0.28 | 0.57 | 0.15 |\n| English | 0.37 | 0.31 | 0.32 |",1]
["| Science |  |  |  |\n| --- | --- | --- | --- |\n| Language | Positive | Negative | Ambiguous |","| Language | MessageDistribution<br>EmoticonsNoEmoticonsRatioWith | EmoticonDistribution<br>PositiveNegativeAmbiguous |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Swedish | 4064 | 14975 | 0.21 | 0.46 | 0.27 | 0.27 |\n| German | 21294 | 54869 | 0.28 | 0.65 | 0.16 | 0.19 |\n| Italian | 46931 | 158858 | 0.23 | 0.34 | 0.50 | 0.16 |\n| English | 18327 | 75869 | 0.20 | 0.40 | 0.30 | 0.30 |",0]
["| Science |  |  |  |\n| --- | --- | --- | --- |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.14 | 0.19 | 0.67 |\n| German | 0.65 | 0.16 | 0.19 |","| Italian | 0.53 | 0.25 | 0.22 |\n| --- | --- | --- | --- |\n| English | 0.60 | 0.26 | 0.14 |\n| Politics |  |  |  |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.48 | 0.28 | 0.24 |\n| German | 0.34 | 0.34 | 0.31 |\n| Italian | 0.28 | 0.57 | 0.15 |\n| English | 0.37 | 0.31 | 0.32 |",1]
["| Science |  |  |  |\n| --- | --- | --- | --- |\n| Language | Positive | Negative | Ambiguous |\n| Swedish | 0.14 | 0.19 | 0.67 |\n| German | 0.65 | 0.16 | 0.19 |","| German | 21294 | 54869 | 0.28 | 0.65 | 0.16 | 0.19 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Italian | 46931 | 158858 | 0.23 | 0.34 | 0.50 | 0.16 |\n| English | 18327 | 75869 | 0.20 | 0.40 | 0.30 | 0.30 |",0]
["| Methods | DiceCoeﬃcient | HausdorﬀDistance |\n| --- | --- | --- |\n| k-meansclustering | 0.5249 | 169.745 |\n| Meanshiftclustering | 0.3927 | 221.744 |","| DRLSE | 0.7104 | 95.0747 |\n| --- | --- | --- |\n| GrabCut | 0.8311 | 42.629 |\n| MIST | 0.8545 | 34.375 |",1]
["| Methods | DiceCoeﬃcient | HausdorﬀDistance |\n| --- | --- | --- |\n| k-meansclustering | 0.5249 | 169.745 |\n| Meanshiftclustering | 0.3927 | 221.744 |","| InitializationMethod | #ofiteration | VPC | VCL | FB | FW |\n| --- | --- | --- | --- | --- | --- |\n| MacQueen2 | 45 | 0.664 | 0.7455 | 110972.7 | 1224079.7 |\n| Faber | 430 | 0.664 | 0.7455 | 101440.4 | 1224079.7 |\n| K-Means++ | 37 | 0.616 | 0.7029 | 101440.5 | 1089058.1 |\n| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",0]
["| Methods | DiceCoeﬃcient | HausdorﬀDistance |\n| --- | --- | --- |\n| k-meansclustering | 0.5249 | 169.745 |\n| Meanshiftclustering | 0.3927 | 221.744 |\n| DRLSE | 0.7104 | 95.0747 |","| GrabCut | 0.8311 | 42.629 |\n| --- | --- | --- |\n| MIST | 0.8545 | 34.375 |",1]
["| Methods | DiceCoeﬃcient | HausdorﬀDistance |\n| --- | --- | --- |\n| k-meansclustering | 0.5249 | 169.745 |\n| Meanshiftclustering | 0.3927 | 221.744 |\n| DRLSE | 0.7104 | 95.0747 |","| K-Means++×10 | 393 | 0.664 | 0.7455 | 101440.4 | 1224073.7 |\n| --- | --- | --- | --- | --- | --- |\n| MaxMinLinear | 34 | 0.665 | 0.7458 | 110972.7 | 1224384.8 |",0]
["| ScenarioParameters | Application1 | Application2 |\n| --- | --- | --- |\n| ChannelCodingRate | 1/3 |  |\n| QAMModulation | QPSK | 16-QAM |\n| FrequencyBandwidth | 5MHz | 10MHz |\n| Dataquantization | 10bits | 14bits |\n| FrameType | 1OFDMsymbolpilot<br>every10OFDMsymbolsofdata |  |","| FPGA | XilinxVirtex-6LX240T |\n| --- | --- |\n| ClockFrequency | 100MHz |",1]
["| ScenarioParameters | Application1 | Application2 |\n| --- | --- | --- |\n| ChannelCodingRate | 1/3 |  |\n| QAMModulation | QPSK | 16-QAM |\n| FrequencyBandwidth | 5MHz | 10MHz |\n| Dataquantization | 10bits | 14bits |\n| FrameType | 1OFDMsymbolpilot<br>every10OFDMsymbolsofdata |  |","| Scenario | Appli.<br>1 | Appli.<br>2 | Appli.<br>3 | Appli.<br>4 |\n| --- | --- | --- | --- | --- |\n| ChannelCoding | Rate=1/3<br>Codeblocksize=1024 |  |  |  |\n| QAMModulation | QPSK |  |  |  |\n| (I)FFTSize | 256 | 512 | 1024 | 2048 |\n| TXantenna | 2 |  |  |  |\n| Dataquantization | 14bits |  |  |  |\n| FPGAType | XilinxVirtex-6LX240T |  |  |  |\n| ClockFrequency | 50MHz |  |  |  |\n| Simulationtime | Generationof5LTEsub-frames |  |  |  |",0]
["| ScenarioParameters | Application1 | Application2 |\n| --- | --- | --- |\n| ChannelCodingRate | 1/3 |  |\n| QAMModulation | QPSK | 16-QAM |\n| FrequencyBandwidth | 5MHz | 10MHz |\n| Dataquantization | 10bits | 14bits |\n| FrameType | 1OFDMsymbolpilot<br>every10OFDMsymbolsofdata |  |","| FPGA | XilinxVirtex-6LX240T |\n| --- | --- |\n| ClockFrequency | 100MHz |",1]
["| ScenarioParameters | Application1 | Application2 |\n| --- | --- | --- |\n| ChannelCodingRate | 1/3 |  |\n| QAMModulation | QPSK | 16-QAM |\n| FrequencyBandwidth | 5MHz | 10MHz |\n| Dataquantization | 10bits | 14bits |\n| FrameType | 1OFDMsymbolpilot<br>every10OFDMsymbolsofdata |  |","| FPGAType | XilinxVirtex-6LX240T |\n| --- | --- |\n| ClockFrequency | 50MHz |\n| Simulationtime | Generationof5LTEsub-frames |",0]
["| Imageprocessing | Numberofexceedencesabovetarget |\n| --- | --- |\n| Original512x2560imagealgorithm | 90 |\n| CSusing256x1280PFCoeﬀsviaTwISTorthresholding | 10 |\n| CSusing128x640PFCoeﬀsviaTwISTorthresholding | 23 |\n| CSusing128x640PFCoeﬀs;Removegroupsof5 | 14 |","| CSusing64x320PFCoeﬀsviaTwISTorthresholding | 32 |\n| --- | --- |\n| CSusing64x320PFCoeﬀs;Removegroupsof5 | 8 |",1]
["| Imageprocessing | Numberofexceedencesabovetarget |\n| --- | --- |\n| Original512x2560imagealgorithm | 90 |\n| CSusing256x1280PFCoeﬀsviaTwISTorthresholding | 10 |\n| CSusing128x640PFCoeﬀsviaTwISTorthresholding | 23 |\n| CSusing128x640PFCoeﬀs;Removegroupsof5 | 14 |","| image | sizer | size(array) | size(mtbdd)<br>(1)(2) |\n| --- | --- | --- | --- |\n| image0 | 27040000 | 81120 | 5134329 |\n| image1 | 1166400 | 3499 | 44615 |\n| image2 | 5760000 | 17280 | 801746 |\n| image3 | 29160000 | 87480 | 32911635 |\n| image4 | 29160000 | 87480 | 6991148 |",0]
["| Imageprocessing | Numberofexceedencesabovetarget |\n| --- | --- |\n| Original512x2560imagealgorithm | 90 |\n| CSusing256x1280PFCoeﬀsviaTwISTorthresholding | 10 |\n| CSusing128x640PFCoeﬀsviaTwISTorthresholding | 23 |\n| CSusing128x640PFCoeﬀs;Removegroupsof5 | 14 |","| CSusing64x320PFCoeﬀsviaTwISTorthresholding | 32 |\n| --- | --- |\n| CSusing64x320PFCoeﬀs;Removegroupsof5 | 8 |",1]
["| Imageprocessing | Numberofexceedencesabovetarget |\n| --- | --- |\n| Original512x2560imagealgorithm | 90 |\n| CSusing256x1280PFCoeﬀsviaTwISTorthresholding | 10 |\n| CSusing128x640PFCoeﬀsviaTwISTorthresholding | 23 |\n| CSusing128x640PFCoeﬀs;Removegroupsof5 | 14 |","| image1 | 1166400 | 3499 | 44615 |\n| --- | --- | --- | --- |\n| image2 | 5760000 | 17280 | 801746 |\n| image3 | 29160000 | 87480 | 32911635 |\n| image4 | 29160000 | 87480 | 6991148 |",0]
["| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 129 | 32 |\n| with12-hourobservationbaseline2 | 129 | 245 |\n| with12-hourobservationSP | 129 | 110 |\n| Model | Realpurchases | Predictedpurchases |","| with12-hourobservationbaseline1 | 75 | 28 |\n| --- | --- | --- |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",1]
["| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 129 | 32 |\n| with12-hourobservationbaseline2 | 129 | 245 |\n| with12-hourobservationSP | 129 | 110 |\n| Model | Realpurchases | Predictedpurchases |","| Algorithms | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| 12-hourobservationbaseline-1 | 251 | 93 |\n| 12-hourobservationbaseline-2 | 251 | 482 |\n| MLR | 251 | 51 |\n| with12-hourobservationSP | 251 | 355 |\n| Algorithms | Realpurchases | Predictedpurchases |\n| 12-hourobservationbaseline-1 | 384 | 169 |\n| 12-hourobservationbaseline-2 | 384 | 714 |\n| MLR | 384 | 1,452 |\n| with12-hourobservationSP | 384 | 463 |",0]
["| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 129 | 32 |","| with12-hourobservationbaseline2 | 129 | 245 |\n| --- | --- | --- |\n| with12-hourobservationSP | 129 | 110 |\n| Model | Realpurchases | Predictedpurchases |\n| with12-hourobservationbaseline1 | 75 | 28 |\n| with12-hourobservationbaseline2 | 75 | 147 |\n| with12-hourobservationSP | 75 | 110 |",1]
["| Model | Realpurchases | Predictedpurchases |\n| --- | --- | --- |\n| with12-hourobservationbaseline1 | 129 | 32 |","| 12-hourobservationbaseline-1 | 384 | 169 |\n| --- | --- | --- |\n| 12-hourobservationbaseline-2 | 384 | 714 |\n| MLR | 384 | 1,452 |\n| with12-hourobservationSP | 384 | 463 |",0]
["| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) |  |  |  |\n| --- | --- | --- | --- | --- |\n| ieee57 |  |  |  |  |\n| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |\n| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |\n| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |\n| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |\n| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |\n| ieee118 |  |  |  |  |\n| LDC | 3.083 | 1.239 | 132.7 | 2152 |\n| LPAC-A-GC | 0.7298 | 0.9944 | 132.7 | 1364 |\n| LPAC-A-G | 0.6502 | 0.9929 | 132.7 | 1194 |\n| LPAC-A-C | 0.4417 | 0.8553 | 104.3 | 750 |\n| LPAC | 0.2625 | 0.5252 | 0.7279 | 142.1 |\n| ieeedd17 |  |  |  |  |","| LDC | 4.144 | 3.263 | 201.3 | 3857 |\n| --- | --- | --- | --- | --- |\n| LPAC-A-GC | 5.783 | 4.881 | 201.3 | 2719 |\n| LPAC-A-G | 4.169 | 3.242 | 201.3 | 616.4 |\n| LPAC-A-C | 4.162 | 3.48 | 200.5 | 2660 |\n| LPAC | 1.135 | 1.019 | 30.38 | 362.1 |\n| ieeedd17m |  |  |  |  |\n| LDC | 3.798 | 1.972 | 191.1 | 3353 |\n| LPAC-A-GC | 5.152 | 3.219 | 191.1 | 2210 |\n| LPAC-A-G | 3.302 | 2.111 | 191.1 | 389.4 |\n| LPAC-A-C | 3.31 | 2.118 | 190.4 | 2146 |\n| LPAC | 0.49 | 0.6324 | 20.21 | 223.7 |\n| mp300 |  |  |  |  |\n| LDC | 13.76 | 4.689 | 418.5 | 14240 |\n| LPAC-A-GC | 11.2 | 5.324 | 418.5 | 5595 |\n| LPAC-A-G | 9.831 | 5.171 | 418.5 | 1648 |\n| LPAC-A-C | 7.855 | 4.403 | 348.5 | 5434 |\n| LPAC | 0.8699 | 1.378 | 9.703 | 976.4 |",1]
["| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) |  |  |  |\n| --- | --- | --- | --- | --- |\n| ieee57 |  |  |  |  |\n| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |\n| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |\n| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |\n| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |\n| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |\n| ieee118 |  |  |  |  |\n| LDC | 3.083 | 1.239 | 132.7 | 2152 |\n| LPAC-A-GC | 0.7298 | 0.9944 | 132.7 | 1364 |\n| LPAC-A-G | 0.6502 | 0.9929 | 132.7 | 1194 |\n| LPAC-A-C | 0.4417 | 0.8553 | 104.3 | 750 |\n| LPAC | 0.2625 | 0.5252 | 0.7279 | 142.1 |\n| ieeedd17 |  |  |  |  |","| Noise | SSC | LRR | SCGSM | GLRR-21 | GLRR-F<br>/KGLRR-proj | KGLRR-cc |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.05 | 0.7838 | 0.8667 | 0.8646 | 1 | 1 | 1 |\n| 0.1 | 0.7596 | 0.8889 | 0.7091 | 1 | 1 | 1 |\n| 0.15 | 0.7475 | 0.9939 | 0.8667 | 1 | 1 | 1 |\n| 0.2 | 0.6202 | 0.9960 | 0.7374 | 1 | 1 | 1 |\n| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) |  |  |  |\n| --- | --- | --- | --- | --- |\n| ieee57 |  |  |  |  |\n| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |\n| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |\n| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |\n| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |\n| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |\n| ieee118 |  |  |  |  |","| LDC | 3.083 | 1.239 | 132.7 | 2152 |\n| --- | --- | --- | --- | --- |\n| LPAC-A-GC | 0.7298 | 0.9944 | 132.7 | 1364 |\n| LPAC-A-G | 0.6502 | 0.9929 | 132.7 | 1194 |\n| LPAC-A-C | 0.4417 | 0.8553 | 104.3 | 750 |\n| LPAC | 0.2625 | 0.5252 | 0.7279 | 142.1 |\n| ieeedd17 |  |  |  |  |\n| LDC | 4.144 | 3.263 | 201.3 | 3857 |\n| LPAC-A-GC | 5.783 | 4.881 | 201.3 | 2719 |\n| LPAC-A-G | 4.169 | 3.242 | 201.3 | 616.4 |\n| LPAC-A-C | 4.162 | 3.48 | 200.5 | 2660 |\n| LPAC | 1.135 | 1.019 | 30.38 | 362.1 |\n| ieeedd17m |  |  |  |  |\n| LDC | 3.798 | 1.972 | 191.1 | 3353 |\n| LPAC-A-GC | 5.152 | 3.219 | 191.1 | 2210 |\n| LPAC-A-G | 3.302 | 2.111 | 191.1 | 389.4 |\n| LPAC-A-C | 3.31 | 2.118 | 190.4 | 2146 |\n| LPAC | 0.49 | 0.6324 | 20.21 | 223.7 |\n| mp300 |  |  |  |  |\n| LDC | 13.76 | 4.689 | 418.5 | 14240 |\n| LPAC-A-GC | 11.2 | 5.324 | 418.5 | 5595 |\n| LPAC-A-G | 9.831 | 5.171 | 418.5 | 1648 |\n| LPAC-A-C | 7.855 | 4.403 | 348.5 | 5434 |\n| LPAC | 0.8699 | 1.378 | 9.703 | 976.4 |",1]
["| Model | CumulativeAbsoluteError<br>(cid:60)(V−V)(cid:61)(V−V)pqnmnmnn(cid:101)(cid:101)(cid:101)(cid:101) |  |  |  |\n| --- | --- | --- | --- | --- |\n| ieee57 |  |  |  |  |\n| LDC | 1.343 | 0.6803 | 27.9 | 529.1 |\n| LPAC-A-GC | 0.4158 | 0.5489 | 27.9 | 264 |\n| LPAC-A-G | 0.3238 | 0.5311 | 27.9 | 264.1 |\n| LPAC-A-C | 0.3773 | 0.4153 | 24.43 | 113.8 |\n| LPAC | 0.3647 | 0.3854 | 4.736 | 26.35 |\n| ieee118 |  |  |  |  |","| 0.25 | 0.3374 | 0.9960 | 0.7293 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.3 | 0.2020 | 0.8909 | 0.6828 | 1 | 1 | 1 |\n| 0.35 | 0.1556 | 0.8263 | 0.2646 | 0.8889 | 0.996 | 0.8566 |",0]
["| L# | Type | K.Size | InputSize | OutputSize |\n| --- | --- | --- | --- | --- |\n| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 |","| 2 | C,B,R | 128 | 128×128×64 | 64×64×128 |\n| --- | --- | --- | --- | --- |\n| 3 | C,B,R | 256 | 64×64×128 | 32×32×256 |\n| 4 | C,B,R | 512 | 32×32×256 | 16×16×512 |\n| 5 | C,B,R | 512 | 16×16×512 | 8×8×512 |\n| 6 | C,B,R | 512 | 8×8×512 | 4×4×512 |\n| 7 | C | 512 | 4×4×512 | 2048×1 |",1]
["| L# | Type | K.Size | InputSize | OutputSize |\n| --- | --- | --- | --- | --- |\n| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 |","| #L | T | S | #K | InputSize | OutputSize | #L | T | S | #K | InputSize |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | C | 1 | 64 | 256×256×1 | 256×256×64 | 10 | C | 1 | 512 | 16×16×512 |\n| 2 | C | 2 | 128 | 256×256×64 | 128×128×128 | 11 | D | 2 | 512 | 16×16×512 |\n| 3 | C | 1 | 128 | 128×128×128 | 128×128×128 | 12 | C | 1 | 512 | 32×32×1024 |\n| 4 | C | 2 | 256 | 128×128×128 | 64×64×256 | 13 | D | 2 | 256 | 32×32×512 |\n| 5 | C | 1 | 256 | 64×64×256 | 64×64×256 | 14 | C | 1 | 256 | 64×64×512 |\n| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["| L# | Type | K.Size | InputSize | OutputSize |\n| --- | --- | --- | --- | --- |\n| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 |\n| 2 | C,B,R | 128 | 128×128×64 | 64×64×128 |\n| 3 | C,B,R | 256 | 64×64×128 | 32×32×256 |","| 4 | C,B,R | 512 | 32×32×256 | 16×16×512 |\n| --- | --- | --- | --- | --- |\n| 5 | C,B,R | 512 | 16×16×512 | 8×8×512 |\n| 6 | C,B,R | 512 | 8×8×512 | 4×4×512 |\n| 7 | C | 512 | 4×4×512 | 2048×1 |",1]
["| L# | Type | K.Size | InputSize | OutputSize |\n| --- | --- | --- | --- | --- |\n| 1 | C,B,R | 64 | 256×256×4 | 128×128×64 |\n| 2 | C,B,R | 128 | 128×128×64 | 64×64×128 |\n| 3 | C,B,R | 256 | 64×64×128 | 32×32×256 |","| 6 | C | 2 | 512 | 64×64×256 | 32×32×512 | 15 | D | 2 | 128 | 64×64×256 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | C | 1 | 512 | 32×32×512 | 32×32×512 | 16 | C | 1 | 128 | 128×128×256 |\n| 8 | C | 2 | 512 | 32×32×512 | 16×16×512 | 17 | D | 2 | 64 | 128×128×128 |\n| 9 | C | 1 | 512 | 16×16×512 | 16×16×512 | 18 | C | 1 | 4 | 256×256×128 |",0]
["| 247.18 |\n| --- |\n| 254.23 |\n| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 |","| 249.13<br>248.26<br>247.97 |\n| --- |\n| 248.93<br>248.31<br>248.02 |\n| 251.61<br>250.53<br>249.97 |",1]
["| 247.18 |\n| --- |\n| 254.23 |\n| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 |","| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |\n| 94.51<br>92.60 | 94.46<br>92.57 |\n| 0.236 | 0.239 |\n| 84.6 | 84.2 |",0]
["| 247.18 |\n| --- |\n| 254.23 |\n| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 |\n| 249.13<br>248.26<br>247.97 |","| 248.93<br>248.31<br>248.02 |\n| --- |\n| 251.61<br>250.53<br>249.97 |",1]
["| 247.18 |\n| --- |\n| 254.23 |\n| 248.07<br>247.52<br>247.47<br>248.40<br>247.89<br>247.56 |\n| 249.13<br>248.26<br>247.97 |","| 0.236 | 0.239 |\n| --- | --- |\n| 84.6 | 84.2 |",0]
["| Region | α |\n| --- | --- |\n| California | 3.48 |","| LosAngeles | 2.29 |\n| --- | --- |\n| UK | 2.54 |\n| London | 2.01 |",1]
["| Region | α |\n| --- | --- |\n| California | 3.48 |","| Region | Numberofmentions | Numberofusers(senders) |\n| --- | --- | --- |\n| California | 2,349,901 | 217,439 |\n| LosAngeles | 918,360 | 51,625 |\n| UK | 3,721,716 | 612,368 |\n| London | 614,045 | 58,046 |",0]
["| Region | α |\n| --- | --- |\n| California | 3.48 |","| LosAngeles | 2.29 |\n| --- | --- |\n| UK | 2.54 |\n| London | 2.01 |",1]
["| Region | α |\n| --- | --- |\n| California | 3.48 |","| LosAngeles | 918,360 | 51,625 |\n| --- | --- | --- |\n| UK | 3,721,716 | 612,368 |\n| London | 614,045 | 58,046 |",0]
["| Event | InitialHashtags | TopCo-occurringHashtags |\n| --- | --- | --- |\n| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 |","| M.Jackson’s<br>Death | ‘michaeljackson’<br>=22,934 | ‘michael’=27,075‘mj’=18,584‘thisisit’8,770‘rip’=3,559‘jacko’=3,325<br>‘kingofpop’=2,888‘jackson’=2,559‘thriller’=1,357‘thankyoumichael’=1,050 |\n| --- | --- | --- |\n| Iranian<br>Elections | ‘iranelection’<br>=911,808 | ‘iran’949,641‘gr88’=197,113‘tehran’=109,006‘freeiran’=13,378<br>‘neda’=191,067‘mousavi’=16,587‘united4iran’=9,198‘iranrevolution’=7,295 |\n| Obama’s<br>NobelPrize | ‘obama’=48,161&<br>‘peace‘=3,721 | ‘nobel’=2,261‘obamanobel’=14‘nobelprize’‘nobelpeace’=113<br>‘barack’=1292‘nobelpeaceprize’=107 |",1]
["| Event | InitialHashtags | TopCo-occurringHashtags |\n| --- | --- | --- |\n| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 |","| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |\n| TheBlindSide | 2009-11-20 |\n| TheBookofEli | 2010-01-15 |\n| Daybreakers | 2010-01-08 |\n| DearJohn | 2010-02-05 |\n| DidYouHearAboutTheMorgans | 2009-12-18 |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |\n| Legion | 2010-01-22 |\n| Twilight:NewMoon | 2009-11-20 |\n| PirateRadio | 2009-11-13 |\n| PrincessAndTheFrog | 2009-12-11 |\n| SherlockHolmes | 2009-12-25 |\n| SpyNextDoor | 2010-01-15 |\n| TheCrazies | 2010-02-26 |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| Event | InitialHashtags | TopCo-occurringHashtags |\n| --- | --- | --- |\n| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 |","| M.Jackson’s<br>Death | ‘michaeljackson’<br>=22,934 | ‘michael’=27,075‘mj’=18,584‘thisisit’8,770‘rip’=3,559‘jacko’=3,325<br>‘kingofpop’=2,888‘jackson’=2,559‘thriller’=1,357‘thankyoumichael’=1,050 |\n| --- | --- | --- |\n| Iranian<br>Elections | ‘iranelection’<br>=911,808 | ‘iran’949,641‘gr88’=197,113‘tehran’=109,006‘freeiran’=13,378<br>‘neda’=191,067‘mousavi’=16,587‘united4iran’=9,198‘iranrevolution’=7,295 |\n| Obama’s<br>NobelPrize | ‘obama’=48,161&<br>‘peace‘=3,721 | ‘nobel’=2,261‘obamanobel’=14‘nobelprize’‘nobelpeace’=113<br>‘barack’=1292‘nobelpeaceprize’=107 |",1]
["| Event | InitialHashtags | TopCo-occurringHashtags |\n| --- | --- | --- |\n| H1N1<br>Outbreak | ‘h1n1’<br>=61,351 | ‘swine’=61,829‘swineflu’=56,419‘flu’=8,436<br>‘pandemic’=6,839‘influenza’=1,725‘grippe’=1,559‘tamiflu’=331 |","| ToothFairy | 2010-01-22 |\n| --- | --- |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| CNN(AlexNet) | SVR |  |\n| --- | --- | --- |\n| ValenceArousal | ValenceArousal |  |\n| RMSE | 0.3940.402 | 0.4940.400 |","| CORR | 0.6020.539 | 0.4290.360 |\n| --- | --- | --- |\n| SAGR | 0.7280.670 | 0.6190.748 |\n| CCC | 0.5410.450 | 0.3400.199 |",1]
["| CNN(AlexNet) | SVR |  |\n| --- | --- | --- |\n| ValenceArousal | ValenceArousal |  |\n| RMSE | 0.3940.402 | 0.4940.400 |","| SameCategory | All |  |\n| --- | --- | --- |\n| ValenceArousal | ValenceArousal |  |\n| RMSE | 0.1900.261 | 0.3400.362 |\n| CORR | 0.9510.766 | 0.8230.567 |\n| SAGR | 0.9060.709 | 0.8150.667 |\n| CCC | 0.9510.746 | 0.8210.551 |",0]
["| CNN(AlexNet) | SVR |\n| --- | --- |\n| ValenceArousal | ValenceArousal |","| RMSE | 0.3940.402 | 0.4940.400 |\n| --- | --- | --- |\n| CORR | 0.6020.539 | 0.4290.360 |\n| SAGR | 0.7280.670 | 0.6190.748 |\n| CCC | 0.5410.450 | 0.3400.199 |",1]
["| CNN(AlexNet) | SVR |\n| --- | --- |\n| ValenceArousal | ValenceArousal |","| RMSE | 0.1900.261 | 0.3400.362 |\n| --- | --- | --- |\n| CORR | 0.9510.766 | 0.8230.567 |\n| SAGR | 0.9060.709 | 0.8150.667 |\n| CCC | 0.9510.746 | 0.8210.551 |",0]
["| Notation |\n| --- |\n| C-Baseline-x |","| C-ATCA-x |\n| --- |\n| S-Baseline-x |\n| S-Baseline-improved |\n| S-ATCA |",1]
["| Notation |\n| --- |\n| C-Baseline-x |","|  | seen | unseen | overall |\n| --- | --- | --- | --- |\n| Ding’s | / | / | 82.4 |\n| baseline | 87.9 | 87.6 | 87.8 |\n| baseline+insertedfc6 | 91.6 | 91.0 | 91.4 |\n| baseline+insertedfc6+duallossonfc6 | 90.2 | 86.6 | 89.4 |\n| baseline+insertedfc6+duallossonfc7 | 98.5 | 97.2 | 98.2 |\n| baseline+insertedfc6+centerloss | 97.4 | 92.7 | 96.3 |",0]
["| Notation |\n| --- |\n| C-Baseline-x |","| C-ATCA-x |\n| --- |\n| S-Baseline-x |\n| S-Baseline-improved |\n| S-ATCA |",1]
["| Notation |\n| --- |\n| C-Baseline-x |","| baseline+insertedfc6+duallossonfc7 | 98.5 | 97.2 | 98.2 |\n| --- | --- | --- | --- |\n| baseline+insertedfc6+centerloss | 97.4 | 92.7 | 96.3 |",0]
["| Parameter | Single-Speaker | VCTK | LibriSpeech |\n| --- | --- | --- | --- |\n| FFTSize | 4096 | 4096 | 4096 |\n| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |\n| AudioSampleRate | 48000 | 48000 | 16000 |\n| ReductionFactorr | 4 | 4 | 4 |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |\n| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |\n| DecoderAﬃneSize | 128,256 | 128,256 | 128,256 |\n| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |","| AttentionHiddenSize | 128 | 256 | 256 |\n| --- | --- | --- | --- |\n| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |\n| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |\n| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |\n| NumberofSpeakers | 1 | 108 | 2484 |\n| SpeakerEmbeddingDim. | - | 16 | 512 |\n| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |\n| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |\n| BatchSize | 16 | 16 | 16 |\n| MaxGradientNorm | 100 | 100 | 50.0 |\n| GradientClippingMax.Value | 5 | 5 | 5 |",1]
["| Parameter | Single-Speaker | VCTK | LibriSpeech |\n| --- | --- | --- | --- |\n| FFTSize | 4096 | 4096 | 4096 |\n| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |\n| AudioSampleRate | 48000 | 48000 | 16000 |\n| ReductionFactorr | 4 | 4 | 4 |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |\n| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |\n| DecoderAﬃneSize | 128,256 | 128,256 | 128,256 |\n| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |","| Parameter |  |\n| --- | --- |\n| Audioresamplingfreq. | 16KHz |\n| BandsofMel-spectrogram | 80 |\n| Hoplength | 400 |\n| Convolutionlayers,channels,ﬁlter,strides | 1,64,20×5,8×2 |\n| Recurrentlayersize | 128 |\n| Fullyconnectedsize | 128 |\n| Dropoutprobability | 0.9 |\n| LearningRate | 10 |\n| Maxgradientnorm | 100 |\n| Gradientclippingmax.value | 5 |",0]
["| Parameter | Single-Speaker | VCTK | LibriSpeech |\n| --- | --- | --- | --- |\n| FFTSize | 4096 | 4096 | 4096 |\n| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |\n| AudioSampleRate | 48000 | 48000 | 16000 |\n| ReductionFactorr | 4 | 4 | 4 |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |","| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |\n| --- | --- | --- | --- |\n| DecoderAﬃneSize | 128,256 | 128,256 | 128,256 |\n| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |\n| AttentionHiddenSize | 128 | 256 | 256 |\n| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |\n| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |\n| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |\n| NumberofSpeakers | 1 | 108 | 2484 |\n| SpeakerEmbeddingDim. | - | 16 | 512 |\n| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |\n| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |\n| BatchSize | 16 | 16 | 16 |\n| MaxGradientNorm | 100 | 100 | 50.0 |\n| GradientClippingMax.Value | 5 | 5 | 5 |",1]
["| Parameter | Single-Speaker | VCTK | LibriSpeech |\n| --- | --- | --- | --- |\n| FFTSize | 4096 | 4096 | 4096 |\n| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |\n| AudioSampleRate | 48000 | 48000 | 16000 |\n| ReductionFactorr | 4 | 4 | 4 |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |","| Recurrentlayersize | 128 |\n| --- | --- |\n| Fullyconnectedsize | 128 |\n| Dropoutprobability | 0.9 |\n| LearningRate | 10 |\n| Maxgradientnorm | 100 |\n| Gradientclippingmax.value | 5 |",0]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |\n| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |\n| 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |\n| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |\n| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) |","| 6. | matrica(matrix) | a(but) | ili(or) | ili(or) | ili(or) |\n| --- | --- | --- | --- | --- | --- |\n| 7. | pretplata(subscription) | se(self) | su(are) | to(it) | a(but) |\n| 8. | ˇcasopis(journal) | za(for) | za(for) | bolesti(disease) | za(for) |\n| 9. | oglasi(ads) | od(from) | od(from) | da(that) | su(are) |\n| 10. | marketing(marketing) | su(are) | a(but) | biljke(plants) | od(from) |",1]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |\n| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |\n| 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |\n| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |\n| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) |","|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | novine(newspaper) | i(and) | i(and) | i(and) | i(and) |\n| 2. | temelju(basedon) | u(in) | u(in) | ili(or) | u(in) |\n| 3. | manjinu(minority) | za(for) | je(is) | je(is) | za(for) |\n| 4. | srpsku(Serbian) | na(on) | za(for) | se(self) | ili(or) |\n| 5. | sladu(harmony) | ili(or) | se(self) | da(that) | na(on) |\n| 6. | snagu(strength) | iz(from) | ili(or) | usluga(service) | je(is) |\n| 7. | osiguranju(insurance) | te(and) | na(on) | zakona(law) | se(self) |\n| 8. | narodnim(national) | je(is) | o(on) | a(but) | o(on) |\n| 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |\n| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) |",0]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |\n| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |","| 3. | izdanje(issue) | na(on) | je(is) | je(is) | je(is) |\n| --- | --- | --- | --- | --- | --- |\n| 4. | online(online) | je(is) | se(self) | su(are) | na(on) |\n| 5. | webshop(webshop) | ili(or) | na(on) | a(but) | se(self) |\n| 6. | matrica(matrix) | a(but) | ili(or) | ili(or) | ili(or) |\n| 7. | pretplata(subscription) | se(self) | su(are) | to(it) | a(but) |\n| 8. | ˇcasopis(journal) | za(for) | za(for) | bolesti(disease) | za(for) |\n| 9. | oglasi(ads) | od(from) | od(from) | da(that) | su(are) |\n| 10. | marketing(marketing) | su(are) | a(but) | biljke(plants) | od(from) |",1]
["|  | selectivity | indegree | outdegree | closeness | betweenness |\n| --- | --- | --- | --- | --- | --- |\n| 1. | stupastih(cage) | i(and) | i(and) | i(and) | i(and) |\n| 2. | populaciju(population) | u(in) | u(in) | se(self) | u(in) |","| 9. | novinama(newspaper) | se(self) | te(and) | skrbi(welfare) | te(and) |\n| --- | --- | --- | --- | --- | --- |\n| 10. | kriza(crisis) | s(with) | ˇclanak(article) | HRT-a(HRT-a) | iz(form) |",0]
["| weightw | multiplicityAw |\n| --- | --- |\n| (p−1)(p−(p−1)p)−1 | p−p |","| (p−1)(p−p)−1 | p−(p−1)p−1 |\n| --- | --- |\n| (p−1)p−(p−2)p−1 | (p−1)(p+p) |\n| p−(p−1)p−1 | 1 |",1]
["| weightw | multiplicityAw |\n| --- | --- |\n| (p−1)(p−(p−1)p)−1 | p−p |","|  | m≡0(mod3) | m≡1(mod3) | m≡2(mod3) |\n| --- | --- | --- | --- |\n| 36(0,0) | p-17-20A | p-17-8A+6B | p-17-8A-6B |\n| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |\n| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |\n| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |\n| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |\n| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |\n| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |\n| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |\n| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |\n| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B |",0]
["| weightw | multiplicityAw |\n| --- | --- |\n| (p−1)(p−(p−1)p)−1 | p−p |\n| (p−1)(p−p)−1 | p−(p−1)p−1 |","| (p−1)p−(p−2)p−1 | (p−1)(p+p) |\n| --- | --- |\n| p−(p−1)p−1 | 1 |",1]
["| weightw | multiplicityAw |\n| --- | --- |\n| (p−1)(p−(p−1)p)−1 | p−p |\n| (p−1)(p−p)−1 | p−(p−1)p−1 |","| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |\n| --- | --- | --- | --- |\n| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |\n| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |\n| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |\n| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |\n| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |\n| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |\n| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |\n| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |","| Baboon | 0.669 | 0.723 | 0.643 | 0.019 | 0.034 | 0.005 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |","|  |  |  |  |\n| --- | --- | --- | --- |\n| 0.575 | 0.496 | 0.450 | 0.421 |\n|  |  |  |  |\n|  |  |  |  |\n| 0.583 | 0.550 | 0.536 | 0.510 |\n|  |  |  |  |\n|  |  |  |  |",0]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| Baboon | 0.669 | 0.723 | 0.643 | 0.019 | 0.034 | 0.005 |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",1]
["|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| Baboon | 0.669 | 0.723 | 0.643 | 0.019 | 0.034 | 0.005 |","|  |  |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |",0]
["| dim.(PCA) | No.Bags | Positive | Negative |\n| --- | --- | --- | --- |\n| 166(25) | 92 | 47 | 45 |\n| 166(25) | 102 | 39 | 63 |","| 230(10) | 200 | 100 | 100 |\n| --- | --- | --- | --- |\n| 230(10) | 200 | 100 | 100 |\n| 230(10) | 200 | 100 | 100 |",1]
["| dim.(PCA) | No.Bags | Positive | Negative |\n| --- | --- | --- | --- |\n| 166(25) | 92 | 47 | 45 |\n| 166(25) | 102 | 39 | 63 |","| R | PCA | FBsPCA | FFBsPCA |\n| --- | --- | --- | --- |\n| 30 | 8 | 7 | 51 |\n| 60 | 214 | 50 | 87 |\n| 90 | 1,636 | 168 | 148 |\n| 120 | 1,640 | 413 | 234 |\n| 150 | 1,808 | 757 | 371 |\n| 180 | 1,988 | 1,437 | 657 |\n| 210 | 2,106 | 2,274 | 695 |\n| 240 | 2,188 | 3,827 | 892 |",0]
["| dim.(PCA) | No.Bags | Positive | Negative |\n| --- | --- | --- | --- |\n| 166(25) | 92 | 47 | 45 |","| 166(25) | 102 | 39 | 63 |\n| --- | --- | --- | --- |\n| 230(10) | 200 | 100 | 100 |\n| 230(10) | 200 | 100 | 100 |\n| 230(10) | 200 | 100 | 100 |",1]
["| dim.(PCA) | No.Bags | Positive | Negative |\n| --- | --- | --- | --- |\n| 166(25) | 92 | 47 | 45 |","| 60 | 214 | 50 | 87 |\n| --- | --- | --- | --- |\n| 90 | 1,636 | 168 | 148 |\n| 120 | 1,640 | 413 | 234 |\n| 150 | 1,808 | 757 | 371 |\n| 180 | 1,988 | 1,437 | 657 |\n| 210 | 2,106 | 2,274 | 695 |\n| 240 | 2,188 | 3,827 | 892 |",0]
["| Algorithm | 5000cases | 50cases |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |","| MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |\n| --- | --- | --- | --- | --- | --- | --- |\n| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |\n| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |\n| CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |\n| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |",1]
["| Algorithm | 5000cases | 50cases |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |","| Algorithm | 5000cases | 50cases |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| IAMB | 1±0 | 0.6875±0.0659 | 1±0 | 0.1250±0 |\n| MMMB | 1±0 | 1±0 | 0.6885±0.1282 | 0.9000±0.0791 |\n| HITON-MB | 1±0 | 1±0 | 0.6500±0.0791 | 0.6500±0.0791 |\n| MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |\n| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |\n| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 |",0]
["| Algorithm | 5000cases | 50cases |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |\n| MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |\n| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |\n| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |","| CMIM(k=nMB) | 5±0 | 0 | 3±0 | 3.9±1.5239 | 0 | 3.1±1.1972 |\n| --- | --- | --- | --- | --- | --- | --- |\n| JMI(k=nMB) | 5±0 | 1±0 | 2±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |",1]
["| Algorithm | 5000cases | 50cases |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| IAMB | 4.3±0.4830 | 1.2±0.4216 | 0 | 1±0 | 0 | 0 |\n| MMMB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 2.3±0.6749 | 3.5±1.7159 |\n| HITON-MB | 5±0 | 3±0 | 0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.6325 |\n| mRMR(k=nMB) | 5±0 | 0 | 3±0 | 4.9±0.3162 | 0.3±0.4830 | 2.8±0.4216 |","| MRMR(k=nMB) | 0.6250±0 | 0.6250±0 | 0.6500±0.0527 | 0.6500±0.0527 |\n| --- | --- | --- | --- | --- |\n| CMIM(k=nMB) | 0.6250±0 | 0.6250±0 | 0.4875±0.1905 | 0.4875±0.1905 |\n| JMI(k=nMB) | 0.7500±0 | 0.7500±0 | 0.6500±0.0791 | 0.6500±0.0791 |",0]
["| Schemes | Memory(MB) |\n| --- | --- |\n| Batch(K=10) | 618 |\n| Batch(K=20) | 1197 |","| Batch(K=50) | 2902 |\n| --- | --- |\n| Online(256×256) | 1213 |\n| Online-Samp.(64×64) | 133 |",1]
["| Schemes | Memory(MB) |\n| --- | --- |\n| Batch(K=10) | 618 |\n| Batch(K=20) | 1197 |","| Scheme | Memory(MB) |\n| --- | --- |\n| Batchlearning(consensusupdate,batchK=10) | 1959.58 |\n| Batchlearning(consensusupdate,batchK=20) | 3887.08 |\n| Batchlearning(consensusupdate,batchK=40) | 7742.08 |\n| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |\n| Batchlearning(Papyanetal.,batchK=20) | 3390.24 |\n| Batchlearning(Papyanetal.,batchK=40) | 6566.15 |\n| Ouralgorithm“Online-Samp”in | 158.11 |\n| Algorithm??OptionI(sgd-spatial) | 111.38 |\n| Algorithm??OptionII(sgd-frequency) | 154.84 |\n| Algorithm??OptionI(surro-spatial) | 342.90 |\n| Algorithm??OptionII(surro-frequency) | 158.11 |",0]
["| Schemes | Memory(MB) |\n| --- | --- |\n| Batch(K=10) | 618 |\n| Batch(K=20) | 1197 |\n| Batch(K=50) | 2902 |","| Online(256×256) | 1213 |\n| --- | --- |\n| Online-Samp.(64×64) | 133 |",1]
["| Schemes | Memory(MB) |\n| --- | --- |\n| Batch(K=10) | 618 |\n| Batch(K=20) | 1197 |\n| Batch(K=50) | 2902 |","| Batchlearning(consensusupdate,batchK=40) | 7742.08 |\n| --- | --- |\n| Batchlearning(Papyanetal.,batchK=10) | 1802.29 |\n| Batchlearning(Papyanetal.,batchK=20) | 3390.24 |\n| Batchlearning(Papyanetal.,batchK=40) | 6566.15 |\n| Ouralgorithm“Online-Samp”in | 158.11 |\n| Algorithm??OptionI(sgd-spatial) | 111.38 |\n| Algorithm??OptionII(sgd-frequency) | 154.84 |\n| Algorithm??OptionI(surro-spatial) | 342.90 |\n| Algorithm??OptionII(surro-frequency) | 158.11 |",0]
["| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |\n| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |\n| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |\n| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |\n| 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |\n| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |\n| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 |","| 8 | 5180 | 3400(1.00) | 2700(0.79) | 2060(0.61) | 2840(0.84) | 59.83 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | 5180 | 5000(1.00) | 2080(0.42) | 1600(0.32) | 900(0.18) | 67.90 |\n| 10 | 5020 | 3400(1.00) | 2040(0.60) | 2840(0.84) | 2420(0.71) | 55.59 |\n| Average | 5058 | 3104(1.00) | 2062(0.83) | 1952(0.93) | 1608(0.56) | 56.95 |",1]
["| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |\n| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |\n| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |\n| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |\n| 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |\n| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |\n| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 |","| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F1 | P | R |\n| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |\n| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |\n| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |\n| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",0]
["| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |\n| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |\n| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |\n| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |","| 5 | 5100 | 4180(1.00) | 1460(0.35) | 1220(0.29) | 440(0.11) | 46.07 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 6 | 4820 | 860(1.00) | 1920(2.23) | 3700(4.30) | 400(0.47) | 55.74 |\n| 7 | 5160 | 3240(1.00) | 1740(0.54) | 1360(0.42) | 1760(0.54) | 60.80 |\n| 8 | 5180 | 3400(1.00) | 2700(0.79) | 2060(0.61) | 2840(0.84) | 59.83 |\n| 9 | 5180 | 5000(1.00) | 2080(0.42) | 1600(0.32) | 900(0.18) | 67.90 |\n| 10 | 5020 | 3400(1.00) | 2040(0.60) | 2840(0.84) | 2420(0.71) | 55.59 |\n| Average | 5058 | 3104(1.00) | 2062(0.83) | 1952(0.93) | 1608(0.56) | 56.95 |",1]
["| Fold | TotalSize | RandomPA | QBagPA | QBoostPA | ClosestPA | TargetFMeasure |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 5020 | 3660(1.00) | 1440(0.39) | 1920(0.52) | 1100(0.30) | 56.23 |\n| 2 | 5260 | 2020(1.00) | 1500(0.74) | 940(0.47) | 660(0.33) | 55.98 |\n| 3 | 5020 | 2920(1.00) | 2320(0.79) | 1420(0.49) | 2920(1.00) | 58.43 |\n| 4 | 4820 | 2360(1.00) | 3420(1.45) | 2460(1.04) | 2640(1.12) | 52.88 |","| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |\n| --- | --- | --- | --- | --- |\n| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |\n| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |\n| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",0]
["| Architectures | - | ReLU | Tanh |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator |","| 2HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 98.43<br>98.36<br>98.03<br>97.61 | 98.01<br>98.09<br>97.76<br>97.21 | 96.39<br>97.23<br>97.63<br>96.27 | 95.57<br>96.05<br>96.77<br>96.10 | 97.81<br>98.07<br>95.83<br>95.83 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 96.85<br>98.15<br>98.22<br>97.65 | 97.80<br>97.95<br>97.63<br>96.97 | 90.42<br>95.08<br>97.49<br>96.78 | 92.64<br>93.33<br>93.63<br>93.93 | 96.31<br>96.48<br>95.74<br>94.34 |\n| LeNet-5 | - | 99.29 | 98.60 | 99.22 | 98.43 | 99.20 |",1]
["| Architectures | - | ReLU | Tanh |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator |","| Learningstage | Testingstage | A.U.C | A.T.E |\n| --- | --- | --- | --- |\n| (50,25,0,25)<br>(50,25,0,25) | (50,0,0,50)<br>(50,50,0,0) | 0.6899<br>0.6097 | 0.3584<br>0.4269 |\n| (50,0,25,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,0,0,50) | 0.6133<br>0.6914 | 0.4284<br>0.3518 |\n| (50,25,25,0)<br>(50,25,25,0) | (50,50,0,0)<br>(50,0,50,0) | 0.5104<br>0.5208 | 0.4920<br>0.4855 |\n| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,0,0,50)<br>(50,0,50,0)<br>(50,50,0,0) | 0.5415<br>0.6039<br>0.6158 | 0.4692<br>0.4306<br>0.4149 |\n| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |\n| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 |",0]
["| Architectures | - | ReLU | Tanh |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator |\n| 2HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 98.43<br>98.36<br>98.03<br>97.61 | 98.01<br>98.09<br>97.76<br>97.21 | 96.39<br>97.23<br>97.63<br>96.27 | 95.57<br>96.05<br>96.77<br>96.10 | 97.81<br>98.07<br>95.83<br>95.83 |","| 3HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 96.85<br>98.15<br>98.22<br>97.65 | 97.80<br>97.95<br>97.63<br>96.97 | 90.42<br>95.08<br>97.49<br>96.78 | 92.64<br>93.33<br>93.63<br>93.93 | 96.31<br>96.48<br>95.74<br>94.34 |\n| --- | --- | --- | --- | --- | --- | --- |\n| LeNet-5 | - | 99.29 | 98.60 | 99.22 | 98.43 | 99.20 |",1]
["| Architectures | - | ReLU | Tanh |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | learningrate | c-operator | ef-operator | c-operator | ef-operator | c-operator |\n| 2HiddenLayers)MLP( | 0.01<br>0.005<br>0.001<br>0.0005 | 98.43<br>98.36<br>98.03<br>97.61 | 98.01<br>98.09<br>97.76<br>97.21 | 96.39<br>97.23<br>97.63<br>96.27 | 95.57<br>96.05<br>96.77<br>96.10 | 97.81<br>98.07<br>95.83<br>95.83 |","| (50,25,25,0)<br>(50,25,0,25)<br>(50,0,25,25) | (50,25,0,25)<br>(50,25,25,0)<br>(50,25,25,0) | 0.5404<br>0.6072<br>0.6585 | 0.4718<br>0.4303<br>0.4199 |\n| --- | --- | --- | --- |\n| (50,25,0,25)<br>(50,0,25,25) | (50,0,50,0)<br>(50,50,0,0) | 0.6095<br>0.6321 | 0.4311<br>0.4155 |",0]
["| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |\n| --- | --- | --- | --- |\n| 110 | 360 | 100 | 500 |\n| 111 | 460 | 120 | 500 |\n| 118 | 380 | 100 | 500 |\n| 83 | 380 | 100 | 500 |\n| 119 | 340 | 100 | 500 |\n| 98 | 380 | 100 | 500 |\n| 127 | 500 | 120 | 500 |\n| 110 | 400 | 120 | 500 |\n| 80 | 320 | 100 | 500 |\n| 116 | 380 | 100 | 500 |\n| 107 | 380 | 100 | 500 |\n| 97 | 400 | 120 | 500 |\n| 107 | 350 | 100 | 500 |\n| 95 | 340 | 100 | 500 |\n| 122 | 400 | 120 | 500 |\n| 98 | 400 | 100 | 500 |","| 91 | 380 | 100 | 500 |\n| --- | --- | --- | --- |\n| 107 | 360 | 100 | 500 |\n| 104 | 320 | 100 | 500 |\n| 101 | 380 | 120 | 500 |",1]
["| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |\n| --- | --- | --- | --- |\n| 110 | 360 | 100 | 500 |\n| 111 | 460 | 120 | 500 |\n| 118 | 380 | 100 | 500 |\n| 83 | 380 | 100 | 500 |\n| 119 | 340 | 100 | 500 |\n| 98 | 380 | 100 | 500 |\n| 127 | 500 | 120 | 500 |\n| 110 | 400 | 120 | 500 |\n| 80 | 320 | 100 | 500 |\n| 116 | 380 | 100 | 500 |\n| 107 | 380 | 100 | 500 |\n| 97 | 400 | 120 | 500 |\n| 107 | 350 | 100 | 500 |\n| 95 | 340 | 100 | 500 |\n| 122 | 400 | 120 | 500 |\n| 98 | 400 | 100 | 500 |","| \\|Ω\\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |\n| 0.02 | 180 | 180.96 | 210 | 217.24 | 400 | 338.10 | 344 |\n| 0.03 | 165 | 170.66 | 192 | 197.58 | 400 | 336.50 | 307 |\n| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |\n| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |\n| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |\n| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 |",0]
["| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |\n| --- | --- | --- | --- |\n| 110 | 360 | 100 | 500 |\n| 111 | 460 | 120 | 500 |\n| 118 | 380 | 100 | 500 |\n| 83 | 380 | 100 | 500 |\n| 119 | 340 | 100 | 500 |\n| 98 | 380 | 100 | 500 |","| 127 | 500 | 120 | 500 |\n| --- | --- | --- | --- |\n| 110 | 400 | 120 | 500 |\n| 80 | 320 | 100 | 500 |\n| 116 | 380 | 100 | 500 |\n| 107 | 380 | 100 | 500 |\n| 97 | 400 | 120 | 500 |\n| 107 | 350 | 100 | 500 |\n| 95 | 340 | 100 | 500 |\n| 122 | 400 | 120 | 500 |\n| 98 | 400 | 100 | 500 |\n| 91 | 380 | 100 | 500 |\n| 107 | 360 | 100 | 500 |\n| 104 | 320 | 100 | 500 |\n| 101 | 380 | 120 | 500 |",1]
["| Numberofslices<br>(3mmslicethickness) | SizeofFOV<br>[mm] | KVP | Exposuretime<br>[ms] |\n| --- | --- | --- | --- |\n| 110 | 360 | 100 | 500 |\n| 111 | 460 | 120 | 500 |\n| 118 | 380 | 100 | 500 |\n| 83 | 380 | 100 | 500 |\n| 119 | 340 | 100 | 500 |\n| 98 | 380 | 100 | 500 |","| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |\n| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 |",0]
["| SI-SDR(dB) |\n| --- |\n| CSCOSC |\n| -10.8 |\n| -10.4 |\n| -- |\n| -10.2 |","| 11.111.2<br>11.411.5 |\n| --- |\n| 11.811.8<br>12.812.6 |\n| 12.512.7<br>13.513.7<br>13.213.5<br>13.113.4<br>16.216.4<br>18.118.3<br>12.612.8<br>26.326.6 |",1]
["| SI-SDR(dB) |\n| --- |\n| CSCOSC |\n| -10.8 |\n| -10.4 |\n| -- |\n| -10.2 |","|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["| SI-SDR(dB) |\n| --- |\n| CSCOSC |\n| -10.8 |\n| -10.4 |","| -- |\n| --- |\n| -10.2 |\n| 11.111.2<br>11.411.5 |\n| 11.811.8<br>12.812.6 |\n| 12.512.7<br>13.513.7<br>13.213.5<br>13.113.4<br>16.216.4<br>18.118.3<br>12.612.8<br>26.326.6 |",1]
["| SI-SDR(dB) |\n| --- |\n| CSCOSC |\n| -10.8 |\n| -10.4 |","| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["| c | disutilitycostparameters |\n| --- | --- |\n| R | reducedload |\n| S | maximumavailablepowersupply |\n| L | powerload |\n| f | maximumlinecapacity |","| Hs | generationshiftfactormatrix |\n| --- | --- |\n| Hl | loadshiftfactormatrix |",1]
["| c | disutilitycostparameters |\n| --- | --- |\n| R | reducedload |\n| S | maximumavailablepowersupply |\n| L | powerload |\n| f | maximumlinecapacity |","| a,b | costparameters |\n| --- | --- |\n| ω | angularfrequency |\n| θ | phaseangle |\n| P | mechanicalpower |\n| P | lowerlimitofmechanicalpower |\n| P | upperlimitofmechanicalpower |\n| L | powerload |\n| Pij | capacityoflineconnectingbusesiandj |\n| D | load-dampingconstant |\n| tij | tie-linestiﬀnesscoeﬃcient |",0]
["| c | disutilitycostparameters |\n| --- | --- |\n| R | reducedload |\n| S | maximumavailablepowersupply |\n| L | powerload |","| f | maximumlinecapacity |\n| --- | --- |\n| Hs | generationshiftfactormatrix |\n| Hl | loadshiftfactormatrix |",1]
["| c | disutilitycostparameters |\n| --- | --- |\n| R | reducedload |\n| S | maximumavailablepowersupply |\n| L | powerload |","| P | mechanicalpower |\n| --- | --- |\n| P | lowerlimitofmechanicalpower |\n| P | upperlimitofmechanicalpower |\n| L | powerload |\n| Pij | capacityoflineconnectingbusesiandj |\n| D | load-dampingconstant |\n| tij | tie-linestiﬀnesscoeﬃcient |",0]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .390 | .462 | .586 | .616 |","| RESP | .389 | .461 | .600 | .625 |\n| --- | --- | --- | --- | --- |\n| ANMS | .461 | .508 | .614 | .620 |\n| RND+ME | .469 | .529 | .625 | .638 |\n| ANMS+ME | .542 | .588 | .648 | .644 |\n| RND+MER | .481 | .539 | .626 | .634 |\n| ANMS+MER | .551 | .591 | .648 | .640 |",1]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .390 | .462 | .586 | .616 |","| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .600 | .662 | .765 | .792 |\n| RESP | .571 | .630 | .735 | .770 |\n| ANMS | .642 | .696 | .779 | .803 |\n| RND+ME | .646 | .702 | .764 | .770 |\n| ANMS+ME | .699 | .734 | .780 | .781 |",0]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .390 | .462 | .586 | .616 |\n| RESP | .389 | .461 | .600 | .625 |","| ANMS | .461 | .508 | .614 | .620 |\n| --- | --- | --- | --- | --- |\n| RND+ME | .469 | .529 | .625 | .638 |\n| ANMS+ME | .542 | .588 | .648 | .644 |\n| RND+MER | .481 | .539 | .626 | .634 |\n| ANMS+MER | .551 | .591 | .648 | .640 |",1]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .390 | .462 | .586 | .616 |\n| RESP | .389 | .461 | .600 | .625 |","| ANMS | .642 | .696 | .779 | .803 |\n| --- | --- | --- | --- | --- |\n| RND+ME | .646 | .702 | .764 | .770 |\n| ANMS+ME | .699 | .734 | .780 | .781 |",0]
["| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |\n| --- | --- | --- | --- |\n| FaceSequence1 | 3275 | 0.0749 | 0.0745 |","| FaceSequence2 | 3275 | 0.0506 | 0.050 |\n| --- | --- | --- | --- |\n| FaceSequence3 | 3275 | 0.0384 | 0.0380 |\n| FaceSequence4 | 3275 | 0.0446 | 0.0443 |",1]
["| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |\n| --- | --- | --- | --- |\n| FaceSequence1 | 3275 | 0.0749 | 0.0745 |","| Dataset | BMM+SSC(3D) | SSC(2D)+BMM | OurMethod |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| e3D | eMS | e3D | eMS | e3D | eMS |  |\n| p2free2 | 0.1973 | 0.0 | 0.2177 | 0.0 | 0.1992 | 0.0 |\n| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |\n| --- | --- | --- | --- |\n| FaceSequence1 | 3275 | 0.0749 | 0.0745 |\n| FaceSequence2 | 3275 | 0.0506 | 0.050 |","| FaceSequence3 | 3275 | 0.0384 | 0.0380 |\n| --- | --- | --- | --- |\n| FaceSequence4 | 3275 | 0.0446 | 0.0443 |",1]
["| Dataset | No.ofFeaturepoints | e3d(Cconstraint) | e3d(CDconstraint) |\n| --- | --- | --- | --- |\n| FaceSequence1 | 3275 | 0.0749 | 0.0745 |\n| FaceSequence2 | 3275 | 0.0506 | 0.050 |","| p3ball1 | 0.1356 | 0.0 | 0.1422 | 0.0 | 0.1348 | 0.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| p4grab2 | 0.2018 | 0.0 | 0.2182 | 0.0 | 0.2080 | 0.0 |\n| p4table12 | 0.2313 | 0.0 | 0.2418 | 0.0 | 0.2313 | 0.0 |\n| p4meet12 | 0.0800 | 0.0135 | 0.0941 | 0.0 | 0.0821 | 0.0135 |",0]
["| FeatureGroupsUsed | ValidationABSq |\n| --- | --- |\n| VGG-PCA | 0.0451 |\n| NET | 0.0417 |\n| M1 | 0.0421 |","| M1+M2+M5+M10+M25 | 0.0406 |\n| --- | --- |\n| M2+M5+M10+NET | 0.0368 |",1]
["| FeatureGroupsUsed | ValidationABSq |\n| --- | --- |\n| VGG-PCA | 0.0451 |\n| NET | 0.0417 |\n| M1 | 0.0421 |","| ModelandApproach | ABSq |\n| --- | --- |\n| M2+M5+M10+NETXGB | 0.0368 |\n| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |\n| VGG-PCAMLP | 0.0287 |\n| 3DCNN | 0.0284 |",0]
["| FeatureGroupsUsed | ValidationABSq |\n| --- | --- |\n| VGG-PCA | 0.0451 |\n| NET | 0.0417 |","| M1 | 0.0421 |\n| --- | --- |\n| M1+M2+M5+M10+M25 | 0.0406 |\n| M2+M5+M10+NET | 0.0368 |",1]
["| FeatureGroupsUsed | ValidationABSq |\n| --- | --- |\n| VGG-PCA | 0.0451 |\n| NET | 0.0417 |","| VGG-PCAMLP | 0.0287 |\n| --- | --- |\n| 3DCNN | 0.0284 |",0]
["|  | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |\n| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |\n| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |\n| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |\n| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |\n| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |\n| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |\n| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |\n| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |\n| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |\n| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |\n| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |\n| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |\n| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |\n| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 |","| KO | 0.0051 | 0.0067 | 0.0035 | 0.0035 | 0.0036 | 0.0043 | 0.0038 | 0.0027 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MCD | 0.0050 | 0.0066 | 0.0036 | 0.0030 | 0.0033 | 0.0052 | 0.0040 | 0.0034 |\n| MMM | 0.0061 | 0.0092 | 0.0037 | 0.0033 | 0.0037 | 0.0051 | 0.0038 | 0.0033 |\n| MRK | 0.0061 | 0.0081 | 0.0039 | 0.0037 | 0.0043 | 0.0056 | 0.0049 | 0.0038 |\n| MSFT | 0.0064 | 0.0083 | 0.0047 | 0.0048 | 0.0042 | 0.0067 | 0.0051 | 0.0037 |\n| NKE | 0.0065 | 0.0098 | 0.0051 | 0.0043 | 0.0046 | 0.0058 | 0.0051 | 0.0047 |\n| PFE | 0.0062 | 0.0084 | 0.0035 | 0.0039 | 0.0039 | 0.0053 | 0.0046 | 0.0030 |\n| PG | 0.0046 | 0.0062 | 0.0035 | 0.0036 | 0.0031 | 0.0046 | 0.0038 | 0.0032 |\n| TRV | 0.0058 | 0.0091 | 0.0041 | 0.0035 | 0.0034 | 0.0049 | 0.0044 | 0.0034 |\n| UNH | 0.0070 | 0.0099 | 0.0048 | 0.0042 | 0.0042 | 0.0062 | 0.0046 | 0.0036 |\n| UTX | 0.0061 | 0.0092 | 0.0045 | 0.0036 | 0.0037 | 0.0053 | 0.0046 | 0.0034 |\n| V | 0.0082 | 0.0101 | 0.0047 | 0.0043 | 0.0047 | 0.0056 | 0.0049 | 0.0033 |\n| VZ | 0.0054 | 0.0073 | 0.0037 | 0.0038 | 0.0078 | 0.0046 | 0.0041 | 0.0041 |\n| WMT | 0.0048 | 0.0067 | 0.0040 | 0.0031 | 0.0034 | 0.0055 | 0.0046 | 0.0042 |\n| XOM | 0.0059 | 0.0088 | 0.0038 | 0.0032 | 0.0039 | 0.0058 | 0.0046 | 0.0031 |",1]
["|  | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |\n| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |\n| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |\n| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |\n| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |\n| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |\n| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |\n| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |\n| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |\n| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |\n| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |\n| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |\n| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |\n| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |\n| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 |","| Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |\n| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |\n| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["|  | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |\n| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |\n| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |\n| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |\n| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |\n| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |\n| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |\n| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |\n| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |\n| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |\n| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |\n| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |\n| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |\n| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |\n| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 |","| KO | 0.0051 | 0.0067 | 0.0035 | 0.0035 | 0.0036 | 0.0043 | 0.0038 | 0.0027 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MCD | 0.0050 | 0.0066 | 0.0036 | 0.0030 | 0.0033 | 0.0052 | 0.0040 | 0.0034 |\n| MMM | 0.0061 | 0.0092 | 0.0037 | 0.0033 | 0.0037 | 0.0051 | 0.0038 | 0.0033 |\n| MRK | 0.0061 | 0.0081 | 0.0039 | 0.0037 | 0.0043 | 0.0056 | 0.0049 | 0.0038 |\n| MSFT | 0.0064 | 0.0083 | 0.0047 | 0.0048 | 0.0042 | 0.0067 | 0.0051 | 0.0037 |\n| NKE | 0.0065 | 0.0098 | 0.0051 | 0.0043 | 0.0046 | 0.0058 | 0.0051 | 0.0047 |\n| PFE | 0.0062 | 0.0084 | 0.0035 | 0.0039 | 0.0039 | 0.0053 | 0.0046 | 0.0030 |\n| PG | 0.0046 | 0.0062 | 0.0035 | 0.0036 | 0.0031 | 0.0046 | 0.0038 | 0.0032 |\n| TRV | 0.0058 | 0.0091 | 0.0041 | 0.0035 | 0.0034 | 0.0049 | 0.0044 | 0.0034 |\n| UNH | 0.0070 | 0.0099 | 0.0048 | 0.0042 | 0.0042 | 0.0062 | 0.0046 | 0.0036 |\n| UTX | 0.0061 | 0.0092 | 0.0045 | 0.0036 | 0.0037 | 0.0053 | 0.0046 | 0.0034 |\n| V | 0.0082 | 0.0101 | 0.0047 | 0.0043 | 0.0047 | 0.0056 | 0.0049 | 0.0033 |\n| VZ | 0.0054 | 0.0073 | 0.0037 | 0.0038 | 0.0078 | 0.0046 | 0.0041 | 0.0041 |\n| WMT | 0.0048 | 0.0067 | 0.0040 | 0.0031 | 0.0034 | 0.0055 | 0.0046 | 0.0042 |\n| XOM | 0.0059 | 0.0088 | 0.0038 | 0.0032 | 0.0039 | 0.0058 | 0.0046 | 0.0031 |",1]
["|  | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AAPL | 0.0073 | 0.0088 | 0.0060 | 0.0053 | 0.0045 | 0.0065 | 0.0053 | 0.0041 |\n| AXP | 0.0082 | 0.0097 | 0.0047 | 0.0039 | 0.0041 | 0.0056 | 0.0055 | 0.0033 |\n| BA | 0.0080 | 0.0098 | 0.0044 | 0.0044 | 0.0044 | 0.0057 | 0.0054 | 0.0040 |\n| CAT | 0.0082 | 0.0112 | 0.0055 | 0.0039 | 0.0045 | 0.0062 | 0.0058 | 0.0045 |\n| CSCO | 0.0080 | 0.0108 | 0.0055 | 0.0049 | 0.0040 | 0.0059 | 0.0050 | 0.0038 |\n| CVX | 0.0061 | 0.0092 | 0.0042 | 0.0032 | 0.0042 | 0.0065 | 0.0052 | 0.0036 |\n| DIS | 0.0067 | 0.0101 | 0.0043 | 0.0039 | 0.0041 | 0.0059 | 0.0043 | 0.0039 |\n| DWDP | 0.0091 | 0.0123 | 0.0055 | 0.0047 | 0.0051 | 0.0070 | 0.0047 | 0.0126 |\n| GE | 0.0074 | 0.0098 | 0.0044 | 0.0038 | 0.0036 | 0.0059 | 0.0044 | 0.0045 |\n| GS | 0.0080 | 0.0114 | 0.0058 | 0.0044 | 0.0041 | 0.0057 | 0.0058 | 0.0044 |\n| HD | 0.0067 | 0.0089 | 0.0044 | 0.0039 | 0.0040 | 0.0053 | 0.0045 | 0.0034 |\n| IBM | 0.0057 | 0.0086 | 0.0040 | 0.0040 | 0.0041 | 0.0055 | 0.0047 | 0.0039 |\n| INTC | 0.0070 | 0.0091 | 0.0048 | 0.0043 | 0.0048 | 0.0061 | 0.0052 | 0.0041 |\n| JNJ | 0.0045 | 0.0084 | 0.0028 | 0.0031 | 0.0036 | 0.0047 | 0.0036 | 0.0031 |\n| JPM | 0.0080 | 0.0117 | 0.0058 | 0.0041 | 0.0041 | 0.0057 | 0.0055 | 0.0039 |","| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |\n| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |\n| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |\n| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |\n| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |\n| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |\n| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |\n| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |\n| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |\n| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |\n| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |\n| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |\n| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |\n| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |\n| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 |",0]
["|  | SLM |  |\n| --- | --- | --- |\n| Samtlaqueries(10) | Footrule | M-measure |\n| Query | 0.775[0.775-0.779] | 0.840[0.840-0.844] |\n| User | 0.863[0.859-0.863] | 0.906[0.903-0.906] |\n| Userconsensus | 0.800[0.795-0.798] | 0.847[0.845-0.848] |\n| Randomqueries(40) | Footrule | M-measure |\n| Query | 0.757[0.756-0.759] | 0.761[0.759-0.763] |","| User | 0.853[0.851-0.854] | 0.846[0.844-0.847] |\n| --- | --- | --- |\n| Userconsensus | 0.716[0.715-0.718] | 0.737[0.735-0.739] |",1]
["|  | SLM |  |\n| --- | --- | --- |\n| Samtlaqueries(10) | Footrule | M-measure |\n| Query | 0.775[0.775-0.779] | 0.840[0.840-0.844] |\n| User | 0.863[0.859-0.863] | 0.906[0.903-0.906] |\n| Userconsensus | 0.800[0.795-0.798] | 0.847[0.845-0.848] |\n| Randomqueries(40) | Footrule | M-measure |\n| Query | 0.757[0.756-0.759] | 0.761[0.759-0.763] |","| Query | Baseline | Re-ranking |  |  |\n| --- | --- | --- | --- | --- |\n| NDCG@50 | NDCG@100 | NDCG@50 | NDCG@100 |  |\n| allsouls | 0.7206 | 0.6683 | 0.7261 | 0.6843 |\n| ashmolean | 0.6617 | 0.6825 | 0.7858 | 0.7954 |\n| balliol | 0.6561 | 0.6860 | 0.7220 | 0.7305 |\n| bodleian | 0.5847 | 0.6297 | 0.9030 | 0.9133 |\n| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |\n| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |\n| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |\n| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |\n| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |\n| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |\n| radcliﬀecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |\n| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 |",0]
["|  | SLM |  |\n| --- | --- | --- |\n| Samtlaqueries(10) | Footrule | M-measure |","| Query | 0.775[0.775-0.779] | 0.840[0.840-0.844] |\n| --- | --- | --- |\n| User | 0.863[0.859-0.863] | 0.906[0.903-0.906] |\n| Userconsensus | 0.800[0.795-0.798] | 0.847[0.845-0.848] |\n| Randomqueries(40) | Footrule | M-measure |\n| Query | 0.757[0.756-0.759] | 0.761[0.759-0.763] |\n| User | 0.853[0.851-0.854] | 0.846[0.844-0.847] |\n| Userconsensus | 0.716[0.715-0.718] | 0.737[0.735-0.739] |",1]
["|  | SLM |  |\n| --- | --- | --- |\n| Samtlaqueries(10) | Footrule | M-measure |","| christchurch | 0.6259 | 0.6033 | 0.8136 | 0.7482 |\n| --- | --- | --- | --- | --- |\n| cornmarket | 0.8137 | 0.8137 | 0.9188 | 0.9252 |\n| hertford | 0.7462 | 0.7740 | 0.8318 | 0.8288 |\n| keble | 0.9486 | 0.9511 | 0.8775 | 0.8775 |\n| magdalen | 0.2492 | 0.2385 | 0.4471 | 0.4148 |\n| pittrivers | 0.8830 | 0.8902 | 0.9161 | 0.9161 |\n| radcliﬀecamera | 0.8400 | 0.7803 | 0.7806 | 0.7656 |\n| mean | 0.7027 | 0.7016 | 0.7930 | 0.7818 |",0]
["| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |\n| --- | --- | --- |\n| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |\n| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |\n| 500020 | 1.70.363.111.08 | 246.846464.269.7 |\n| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |","| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |\n| --- | --- | --- |\n| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |\n| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 |",1]
["| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |\n| --- | --- | --- |\n| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |\n| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |\n| 500020 | 1.70.363.111.08 | 246.846464.269.7 |\n| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |","| n | D(n) | D(n)f | D(n)/D(n)f |\n| --- | --- | --- | --- |\n| 4 | 7 | 6 | 0.857143 |\n| 5 | 20 | 18 | 0.900000 |\n| 6 | 71 | 63 | 0.887324 |\n| 7 | 240 | 216 | 0.900000 |\n| 8 | 871 | 783 | 0.898967 |\n| 9 | 3148 | 2843 | 0.903113 |\n| 10 | 11655 | 10535 | 0.903904 |\n| 11 | 43332 | 39232 | 0.905382 |\n| 12 | 162769 | 147457 | 0.905928 |\n| 13 | 614198 | 556859 | 0.906644 |\n| 14 | 2330537 | 2113982 | 0.907079 |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",0]
["| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |\n| --- | --- | --- |\n| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |\n| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |\n| 500020 | 1.70.363.111.08 | 246.846464.269.7 |","| 1000020 | 4.460.584.653.40 | 319.236.3334.4105.2 |\n| --- | --- | --- |\n| 3000030 | 276.4524.5910.43 | 446.4103.640977.8 |\n| 5000050 | 71.6216.8768.7818.69 | 429.898.4415.154.5 |\n| 100000100 | 287.9977.74268.1183.18 | 451.7119422.663 |",1]
["| nd | Time<br>A1A2BCOurs | Iterations<br>A1A2BCOurs |\n| --- | --- | --- |\n| 50010 | 0.060.030.120.04 | 168.744.5435.544.2 |\n| 100010 | 0.150.030.140.10 | 330.741.6344.454.5 |\n| 500020 | 1.70.363.111.08 | 246.846464.269.7 |","| 14 | 2330537 | 2113982 | 0.907079 |\n| --- | --- | --- | --- |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",0]
["| Dataset | BBLR | SVM | KBBLR |\n| --- | --- | --- | --- |\n| Breast | 2.82 | 3.26 | 2.98 |\n| Heart | 17.08 | 17.76 | 16.27 |","| Liver | 31.80 | 29.61 | 26.91 |\n| --- | --- | --- | --- |\n| Pima | 21.57 | 22.44 | 22.9 |",1]
["| Dataset | BBLR | SVM | KBBLR |\n| --- | --- | --- | --- |\n| Breast | 2.82 | 3.26 | 2.98 |\n| Heart | 17.08 | 17.76 | 16.27 |","|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |\n| Heart | 45 | 45 | 48 | 50 | 43 |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["| Dataset | BBLR | SVM | KBBLR |\n| --- | --- | --- | --- |\n| Breast | 2.82 | 3.26 | 2.98 |","| Heart | 17.08 | 17.76 | 16.27 |\n| --- | --- | --- | --- |\n| Liver | 31.80 | 29.61 | 26.91 |\n| Pima | 21.57 | 22.44 | 22.9 |",1]
["| Dataset | BBLR | SVM | KBBLR |\n| --- | --- | --- | --- |\n| Breast | 2.82 | 3.26 | 2.98 |","| Liver | 109 | 110 | 114 | 105 | 105 |\n| --- | --- | --- | --- | --- | --- |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",0]
["| Conditioning | Mnemonic<br>label | Informationlevel |\n| --- | --- | --- |\n| 0,0,0 | none | SimplePCFG |\n| 2,2,2 | par+sib | Smallamountofstructuralcontext |","| 5,2,2 | NTstruct | Allstructural(non-lexical)contextfornon-POS |\n| --- | --- | --- |\n| 6,2,2 | NThead | Everythingfornon-POSexpansions |\n| 6,3,2 | POSstruct | MorestructuralinfoforleftmostPOSexpansions |\n| 6,5,2 | attach | AllattachmentinfoforleftmostPOSexpansions |\n| 6,6,4 | all | Everything |",1]
["| Conditioning | Mnemonic<br>label | Informationlevel |\n| --- | --- | --- |\n| 0,0,0 | none | SimplePCFG |\n| 2,2,2 | par+sib | Smallamountofstructuralcontext |","| Featurelabel | Description |\n| --- | --- |\n| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |\n| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |\n| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |\n| depij | Alldependencyedgeswithtailinwandheadinwij |\n| dir | Binaryfeaturewhichistrueiﬀi<j |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| Conditioning | Mnemonic<br>label | Informationlevel |\n| --- | --- | --- |\n| 0,0,0 | none | SimplePCFG |\n| 2,2,2 | par+sib | Smallamountofstructuralcontext |","| 5,2,2 | NTstruct | Allstructural(non-lexical)contextfornon-POS |\n| --- | --- | --- |\n| 6,2,2 | NThead | Everythingfornon-POSexpansions |\n| 6,3,2 | POSstruct | MorestructuralinfoforleftmostPOSexpansions |\n| 6,5,2 | attach | AllattachmentinfoforleftmostPOSexpansions |\n| 6,6,4 | all | Everything |",1]
["| Conditioning | Mnemonic<br>label | Informationlevel |\n| --- | --- | --- |\n| 0,0,0 | none | SimplePCFG |\n| 2,2,2 | par+sib | Smallamountofstructuralcontext |","| dir | Binaryfeaturewhichistrueiﬀi<j |\n| --- | --- |\n| r | Relationlabelanditsconjunctionwithallotherfeatures |",0]
["| relevant | irrelevant |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | TP | FN | II | TN | FP | Time[ms] |\n| 0 | 1000 | 0 | 0 | 93 | 7 | 3.02 |\n| 1 | 989 | 10 | 1 | 95 | 5 | 2.75 |\n| 2 | 988 | 11 | 1 | 94 | 6 | 2.44 |","| 3 | 928 | 66 | 6 | 94 | 6 | 2.40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | 854 | 140 | 6 | 99 | 1 | 1.79 |\n| 5 | 557 | 431 | 12 | 97 | 3 | 1.59 |",1]
["| relevant | irrelevant |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | TP | FN | II | TN | FP | Time[ms] |\n| 0 | 1000 | 0 | 0 | 93 | 7 | 3.02 |\n| 1 | 989 | 10 | 1 | 95 | 5 | 2.75 |\n| 2 | 988 | 11 | 1 | 94 | 6 | 2.44 |","|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |\n| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |\n| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["| relevant | irrelevant |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | TP | FN | II | TN | FP | Time[ms] |\n| 0 | 1000 | 0 | 0 | 93 | 7 | 3.02 |\n| 1 | 989 | 10 | 1 | 95 | 5 | 2.75 |\n| 2 | 988 | 11 | 1 | 94 | 6 | 2.44 |","| 3 | 928 | 66 | 6 | 94 | 6 | 2.40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | 854 | 140 | 6 | 99 | 1 | 1.79 |\n| 5 | 557 | 431 | 12 | 97 | 3 | 1.59 |",1]
["| relevant | irrelevant |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Errors | TP | FN | II | TN | FP | Time[ms] |\n| 0 | 1000 | 0 | 0 | 93 | 7 | 3.02 |\n| 1 | 989 | 10 | 1 | 95 | 5 | 2.75 |\n| 2 | 988 | 11 | 1 | 94 | 6 | 2.44 |","| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["|  | Subjects | Objects |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #subsequences | 3044 | 1626 |  |  |  |  |\n| Method | prec. | rec. | Fβ=1 | prec. | rec. | Fβ=1 |\n| A,D&K | 88.6 | 84.5 | 86.5 | 77.1 | 89.8 | 83.0 |","| IGTree<br>IB1-IG | 79.9<br>84.7 | 71.7<br>81.6 | 75.6<br>83.1 | 84.4<br>87.3 | 85.8<br>85.8 | 85.1<br>86.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IB1-IGPOSonly<br>IB1-IGwithoutchunks<br>IB1-IGwithtreebankchunks | 83.5<br>29.2<br>89.4 | 77.9<br>24.4<br>88.6 | 80.6<br>26.6<br>89.0 | 76.1<br>85.0<br>91.9 | 83.3<br>18.5<br>91.3 | 79.6<br>30.4<br>91.6 |",1]
["|  | Subjects | Objects |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #subsequences | 3044 | 1626 |  |  |  |  |\n| Method | prec. | rec. | Fβ=1 | prec. | rec. | Fβ=1 |\n| A,D&K | 88.6 | 84.5 | 86.5 | 77.1 | 89.8 | 83.0 |","| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |\n| --- | --- | --- | --- | --- | --- |\n| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 |\n| WSABIE | Y | 71.28 | 72.08 | 66.22 |  |\n| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 |  |\n| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 |  |\n| Proto-HLE | Y<br>N | 71.97<br>74.54 | 72.89<br>74.38 | 67.05<br>69.46 |  |\n| OntoNotes | FIGER<br>HYENA | NA | 58.77<br>47.63 | 52.37<br>43.97 | 38.01<br>26.56 |\n| WSABIE | Y | 62.03 | 55.83 | 43.61 |  |\n| HLE | Y<br>N | 61.54<br>59.52 | 49.16<br>54.01 | 43.25<br>41.60 |  |\n| ProtoLE | Y<br>N | 60.90<br>65.91 | 54.68<br>59.08 | 42.82<br>46.94 |  |\n| Proto-HLE | Y<br>N | 62.71<br>68.23 | 56.64<br>61.27 | 44.81<br>49.30 |  |\n| Wiki | FIGER<br>HYENA | NA | 68.28<br>45.51 | 64.71<br>43.80 | 47.37<br>30.67 |\n| WSABIE | Y | 67.97 | 64.49 | 48.28 |  |\n| HLE | Y<br>N | 67.09<br>65.29 | 65.65<br>62.53 | 47.01<br>45.19 |  |\n| ProtoLE | Y<br>N | 66.96<br>68.06 | 65.78<br>66.53 | 49.18<br>53.54 |  |\n| Proto-HLE | Y<br>N | 67.85<br>66.61 | 65.74<br>65.29 | 50.27<br>50.45 |  |",0]
["|  | Subjects | Objects |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #subsequences | 3044 | 1626 |  |  |  |  |\n| Method | prec. | rec. | Fβ=1 | prec. | rec. | Fβ=1 |\n| A,D&K | 88.6 | 84.5 | 86.5 | 77.1 | 89.8 | 83.0 |","| IGTree<br>IB1-IG | 79.9<br>84.7 | 71.7<br>81.6 | 75.6<br>83.1 | 84.4<br>87.3 | 85.8<br>85.8 | 85.1<br>86.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| IB1-IGPOSonly<br>IB1-IGwithoutchunks<br>IB1-IGwithtreebankchunks | 83.5<br>29.2<br>89.4 | 77.9<br>24.4<br>88.6 | 80.6<br>26.6<br>89.0 | 76.1<br>85.0<br>91.9 | 83.3<br>18.5<br>91.3 | 79.6<br>30.4<br>91.6 |",1]
["|  | Subjects | Objects |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| #subsequences | 3044 | 1626 |  |  |  |  |\n| Method | prec. | rec. | Fβ=1 | prec. | rec. | Fβ=1 |\n| A,D&K | 88.6 | 84.5 | 86.5 | 77.1 | 89.8 | 83.0 |","| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 |  |\n| --- | --- | --- | --- | --- | --- |\n| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 |  |\n| Proto-HLE | Y<br>N | 71.97<br>74.54 | 72.89<br>74.38 | 67.05<br>69.46 |  |\n| OntoNotes | FIGER<br>HYENA | NA | 58.77<br>47.63 | 52.37<br>43.97 | 38.01<br>26.56 |\n| WSABIE | Y | 62.03 | 55.83 | 43.61 |  |\n| HLE | Y<br>N | 61.54<br>59.52 | 49.16<br>54.01 | 43.25<br>41.60 |  |\n| ProtoLE | Y<br>N | 60.90<br>65.91 | 54.68<br>59.08 | 42.82<br>46.94 |  |\n| Proto-HLE | Y<br>N | 62.71<br>68.23 | 56.64<br>61.27 | 44.81<br>49.30 |  |\n| Wiki | FIGER<br>HYENA | NA | 68.28<br>45.51 | 64.71<br>43.80 | 47.37<br>30.67 |\n| WSABIE | Y | 67.97 | 64.49 | 48.28 |  |\n| HLE | Y<br>N | 67.09<br>65.29 | 65.65<br>62.53 | 47.01<br>45.19 |  |\n| ProtoLE | Y<br>N | 66.96<br>68.06 | 65.78<br>66.53 | 49.18<br>53.54 |  |\n| Proto-HLE | Y<br>N | 67.85<br>66.61 | 65.74<br>65.29 | 50.27<br>50.45 |  |",0]
["| FuncC | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 36.9 | 13.7 | 6.4 |\n| TS-SPL-INF | 52.8(21.9) | 38.8(7.8) | 34.9(3.9) |\n| PBS-M | 49.6(18.7) | 39.2(8.3) | 34.3(3.3) |\n| SGBS-M | 47.2(16.2) | 34.6(3.6) | 32.5(1.6) |\n| BZ-M | 58.8(27.9) | 38.4(7.4) | 33.7(2.7) |\n| SA | 149.0 | 178.0 | 185.0 |\n| ASS | 54.3(23.4) | 39(8.0) | 33.5(2.5) |","| HSSL | 75.2(44.3) | 44.3(13.4) | 35.6(4.6) |\n| --- | --- | --- | --- |\n| SHSSL | 56.5 | 18.4 | 6.4 |\n| CPL-AdS | 153.0(101.6) | 156.2(103.7) | 165.0(109.6) |",1]
["| FuncC | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 36.9 | 13.7 | 6.4 |\n| TS-SPL-INF | 52.8(21.9) | 38.8(7.8) | 34.9(3.9) |\n| PBS-M | 49.6(18.7) | 39.2(8.3) | 34.3(3.3) |\n| SGBS-M | 47.2(16.2) | 34.6(3.6) | 32.5(1.6) |\n| BZ-M | 58.8(27.9) | 38.4(7.4) | 33.7(2.7) |\n| SA | 149.0 | 178.0 | 185.0 |\n| ASS | 54.3(23.4) | 39(8.0) | 33.5(2.5) |","| FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 47.1 | 17.8 | 8.5 |\n| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |\n| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |\n| SA | 175.1 | 204.5 | 223.3 |\n| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |\n| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |\n| SHSSL | 75.4 | 30.8 | 12.7 |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",0]
["| FuncC | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 36.9 | 13.7 | 6.4 |","| TS-SPL-INF | 52.8(21.9) | 38.8(7.8) | 34.9(3.9) |\n| --- | --- | --- | --- |\n| PBS-M | 49.6(18.7) | 39.2(8.3) | 34.3(3.3) |\n| SGBS-M | 47.2(16.2) | 34.6(3.6) | 32.5(1.6) |\n| BZ-M | 58.8(27.9) | 38.4(7.4) | 33.7(2.7) |\n| SA | 149.0 | 178.0 | 185.0 |\n| ASS | 54.3(23.4) | 39(8.0) | 33.5(2.5) |\n| HSSL | 75.2(44.3) | 44.3(13.4) | 35.6(4.6) |\n| SHSSL | 56.5 | 18.4 | 6.4 |\n| CPL-AdS | 153.0(101.6) | 156.2(103.7) | 165.0(109.6) |",1]
["| FuncC | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 36.9 | 13.7 | 6.4 |","| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |\n| --- | --- | --- | --- |\n| SA | 175.1 | 204.5 | 223.3 |\n| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |\n| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |\n| SHSSL | 75.4 | 30.8 | 12.7 |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",0]
["| Maximumlevel | CAT | sdcMicro | µ-Argus |\n| --- | --- | --- | --- |\n| ξforQID | 0.149 | 0.143 | 0 |","| ξforQID | 0.402 | 0.500 | 0.384 |\n| --- | --- | --- | --- |\n| λforQID | 3.600 | 2.028 | 1.682 |\n| λforQID | 86.631 | 3.261 | 1.783 |",1]
["| Maximumlevel | CAT | sdcMicro | µ-Argus |\n| --- | --- | --- | --- |\n| ξforQID | 0.149 | 0.143 | 0 |","| SSC | LRSC | ENSC | KMP |\n| --- | --- | --- | --- |\n| α | τα | λλλ123 | kλ |\n| 25 | 55 | 0.10.11 | 1000.1 |\n| 200 | 100100 | 0.10.11000 | 1000.1 |\n| 120 | -- | --- | -- |\n| - | -- | --- | -- |",0]
["| Maximumlevel | CAT | sdcMicro | µ-Argus |\n| --- | --- | --- | --- |\n| ξforQID | 0.149 | 0.143 | 0 |\n| ξforQID | 0.402 | 0.500 | 0.384 |","| λforQID | 3.600 | 2.028 | 1.682 |\n| --- | --- | --- | --- |\n| λforQID | 86.631 | 3.261 | 1.783 |",1]
["| Maximumlevel | CAT | sdcMicro | µ-Argus |\n| --- | --- | --- | --- |\n| ξforQID | 0.149 | 0.143 | 0 |\n| ξforQID | 0.402 | 0.500 | 0.384 |","| 120 | -- | --- | -- |\n| --- | --- | --- | --- |\n| - | -- | --- | -- |",0]
["|  | SizeinMB | Timeinsec |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| univ100 | univ1000 | Yago | univ100 | univ1000 | Yago |  |\n| RDF-3X | 831,717 | 7,795,458 | 2,189,735 | 240 | 3050 | 1090 |\n| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |\n| JenaTDB | 1,492,057 | 13,984,467 | 3,928,271 | 1285 | 16332 | 5837 |\n| WaterFowlMode1 | 91,539 | 922,106 | 271,616 | 168 | 2134 | 768 |","| WaterFowlMode2 | 71,064 | 720396 | 210,556 | 119 | 1515 | 545 |\n| --- | --- | --- | --- | --- | --- | --- |\n| WaterFowlMode3 | 77,351 | 798,829 | 203,728 | 107 | 1488 | 513 |",1]
["|  | SizeinMB | Timeinsec |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| univ100 | univ1000 | Yago | univ100 | univ1000 | Yago |  |\n| RDF-3X | 831,717 | 7,795,458 | 2,189,735 | 240 | 3050 | 1090 |\n| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |\n| JenaTDB | 1,492,057 | 13,984,467 | 3,928,271 | 1285 | 16332 | 5837 |\n| WaterFowlMode1 | 91,539 | 922,106 | 271,616 | 168 | 2134 | 768 |","|  | QR#4 | QR#5 | QR#6 | QR#7 | QR#10 |\n| --- | --- | --- | --- | --- | --- |\n| RDF-3X | 4.2 | 2.5 | 15.3 | 1.4 | 1.6 |\n| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |\n| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",0]
["|  | SizeinMB | Timeinsec |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| univ100 | univ1000 | Yago | univ100 | univ1000 | Yago |  |\n| RDF-3X | 831,717 | 7,795,458 | 2,189,735 | 240 | 3050 | 1090 |\n| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |","| JenaTDB | 1,492,057 | 13,984,467 | 3,928,271 | 1285 | 16332 | 5837 |\n| --- | --- | --- | --- | --- | --- | --- |\n| WaterFowlMode1 | 91,539 | 922,106 | 271,616 | 168 | 2134 | 768 |\n| WaterFowlMode2 | 71,064 | 720396 | 210,556 | 119 | 1515 | 545 |\n| WaterFowlMode3 | 77,351 | 798,829 | 203,728 | 107 | 1488 | 513 |",1]
["|  | SizeinMB | Timeinsec |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| univ100 | univ1000 | Yago | univ100 | univ1000 | Yago |  |\n| RDF-3X | 831,717 | 7,795,458 | 2,189,735 | 240 | 3050 | 1090 |\n| BigOWLIM | 2,411,260 | 22,600,088 | 6,348,338 | 838 | 10640 | 3708 |","| OWLIM-SE | 705 | 16771 | 72 | 1708 | 3.65 |\n| --- | --- | --- | --- | --- | --- |\n| JenaTDB | 4.85 | 6.3 | 30.7 | 207 | 1.55 |\n| WaterFowlMode2 | 3.66 | 2.3 | 13.4 | 1.2 | 1.4 |",0]
["|  | No.ofGPUs |  |  |\n| --- | --- | --- | --- |\n| 1GPU | 2GPUs | 4GPUs |  |\n| Totalexecutiontime | 10.928 | 5.53 | 2.857 |\n| Normalisedexecutiontime | 1 | 0.506 | 0.261 |","| Executiontimewithperfectscalability | 10.928 | 5.464 | 2.732 |\n| --- | --- | --- | --- |\n| Oﬀsetwithrespecttoperfectscalability | 0 | 0.066 | 0.125 |",1]
["|  | No.ofGPUs |  |  |\n| --- | --- | --- | --- |\n| 1GPU | 2GPUs | 4GPUs |  |\n| Totalexecutiontime | 10.928 | 5.53 | 2.857 |\n| Normalisedexecutiontime | 1 | 0.506 | 0.261 |","| GPUModel | TeslaC2050 | GeForceGT640 |\n| --- | --- | --- |\n| CUDADriver | 4.2 | 5.0 |\n| CUDARuntime | 4.2 | 4.2 |\n| CUDACapability | 2.0 | 3.0 |\n| GPUArchitecture | FermiGF100 | KeplerGK107 |\n| GlobalMemory | 5GB | 2GB |\n| SharedMemoryperMP | 48KB | 16KB |\n| Registers | 32768 | 65536 |\n| WarpSize | 32 | 32 |\n| CUDACores | 448 | 384 |\n| Multiprocessors(MP) | 14 | 2 |\n| TotalSharedMemory | 672KB | 32KB |\n| LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |",0]
["|  | No.ofGPUs |  |  |\n| --- | --- | --- | --- |\n| 1GPU | 2GPUs | 4GPUs |  |\n| Totalexecutiontime | 10.928 | 5.53 | 2.857 |\n| Normalisedexecutiontime | 1 | 0.506 | 0.261 |","| Executiontimewithperfectscalability | 10.928 | 5.464 | 2.732 |\n| --- | --- | --- | --- |\n| Oﬀsetwithrespecttoperfectscalability | 0 | 0.066 | 0.125 |",1]
["|  | No.ofGPUs |  |  |\n| --- | --- | --- | --- |\n| 1GPU | 2GPUs | 4GPUs |  |\n| Totalexecutiontime | 10.928 | 5.53 | 2.857 |\n| Normalisedexecutiontime | 1 | 0.506 | 0.261 |","| GlobalMemory | 5GB | 2GB |\n| --- | --- | --- |\n| SharedMemoryperMP | 48KB | 16KB |\n| Registers | 32768 | 65536 |\n| WarpSize | 32 | 32 |\n| CUDACores | 448 | 384 |\n| Multiprocessors(MP) | 14 | 2 |\n| TotalSharedMemory | 672KB | 32KB |\n| LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |",0]
["| Metric | Deﬁnition |\n| --- | --- |\n| Recall | Frame-basedcorrectlymatchedtargets/totalground-truthtargets |\n| Precision | Frame-basedcorrectlymatchedtargets/totaloutputtargets |","| FA/Frm | Frame-basednumberoffalsealarmsperframe |\n| --- | --- |\n| SwitchIDS | TheNumberoftimesthatthetrackIDsoftwotargetsswitch |",1]
["| Metric | Deﬁnition |\n| --- | --- |\n| Recall | Frame-basedcorrectlymatchedtargets/totalground-truthtargets |\n| Precision | Frame-basedcorrectlymatchedtargets/totaloutputtargets |","| MetricID | precision | recall | F1 |\n| --- | --- | --- | --- |\n| M1 | 1 | 0.48 | 0.65 |\n| M2 | 0.99 | 0.41 | 0.58 |\n| M3 | 1 | 0.19 | 0.32 |\n| M4 | 0.77 | 0.76 | 0.76 |\n| M5 | 1 | 0.32 | 0.48 |",0]
["| Metric | Deﬁnition |\n| --- | --- |\n| Recall | Frame-basedcorrectlymatchedtargets/totalground-truthtargets |\n| Precision | Frame-basedcorrectlymatchedtargets/totaloutputtargets |","| FA/Frm | Frame-basednumberoffalsealarmsperframe |\n| --- | --- |\n| SwitchIDS | TheNumberoftimesthatthetrackIDsoftwotargetsswitch |",1]
["| Metric | Deﬁnition |\n| --- | --- |\n| Recall | Frame-basedcorrectlymatchedtargets/totalground-truthtargets |\n| Precision | Frame-basedcorrectlymatchedtargets/totaloutputtargets |","| M4 | 0.77 | 0.76 | 0.76 |\n| --- | --- | --- | --- |\n| M5 | 1 | 0.32 | 0.48 |",0]
["| Setup | BF | NBF |\n| --- | --- | --- |\n| Multi-classHashtags | 0.05 | 0.01 |","| Multi-classEmoticons | 0.05 | 0.02 |\n| --- | --- | --- |\n| BinaryHashtags | 0.05 | 0.03 |\n| BinaryEmoticons | 0.08 | 0.06 |",1]
["| Setup | BF | NBF |\n| --- | --- | --- |\n| Multi-classHashtags | 0.05 | 0.01 |","| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |\n| can62 | 57 | 119 | 0.500 | 0.15 |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["| Setup | BF | NBF |\n| --- | --- | --- |\n| Multi-classHashtags | 0.05 | 0.01 |\n| Multi-classEmoticons | 0.05 | 0.02 |","| BinaryHashtags | 0.05 | 0.03 |\n| --- | --- | --- |\n| BinaryEmoticons | 0.08 | 0.06 |",1]
["| Setup | BF | NBF |\n| --- | --- | --- |\n| Multi-classHashtags | 0.05 | 0.01 |\n| Multi-classEmoticons | 0.05 | 0.02 |","| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| --- | --- | --- | --- | --- |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| What | Rrating | -0.058 |","| What | DramaGenre | -0.012 |\n| --- | --- | --- |\n| What | Topic18(war,mission,American,government,ﬁght)* | -0.012 |\n| What | Topic4(music,band,famous,star,place)* | -0.011 |\n| What | ForeignGenre | -0.009 |",1]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| What | Rrating | -0.058 |","| Feature |\n| --- |\n| Numberofexclamation/questionmark |\n| Numberofpositive/negativewords |\n| Sentimentscore |\n| Numberofwords/characters |\n| Numberofﬁrst/second/thirdorderofperson |\n| NumberofPeople/Location/Organization |\n| NumberofURL/@/# |",0]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| What | Rrating | -0.058 |\n| What | DramaGenre | -0.012 |\n| What | Topic18(war,mission,American,government,ﬁght)* | -0.012 |","| What | Topic4(music,band,famous,star,place)* | -0.011 |\n| --- | --- | --- |\n| What | ForeignGenre | -0.009 |",1]
["| Featuregroup | Feature | Coeﬃcient |\n| --- | --- | --- |\n| What | Rrating | -0.058 |\n| What | DramaGenre | -0.012 |\n| What | Topic18(war,mission,American,government,ﬁght)* | -0.012 |","| Numberofwords/characters |\n| --- |\n| Numberofﬁrst/second/thirdorderofperson |\n| NumberofPeople/Location/Organization |\n| NumberofURL/@/# |",0]
["| fc1(size) | TestAccuracy | Time(TitanX) |\n| --- | --- | --- |\n| 1024 | 99.27 | 164s |\n| 512 | 99.25 | 155s |\n| 256 | 99.21 | 148s |\n| 128 | 99.1 | 145s |","| 64 | 98.9 | 159s |\n| --- | --- | --- |\n| 32 | 98.7 | 158s |",1]
["| fc1(size) | TestAccuracy | Time(TitanX) |\n| --- | --- | --- |\n| 1024 | 99.27 | 164s |\n| 512 | 99.25 | 155s |\n| 256 | 99.21 | 148s |\n| 128 | 99.1 | 145s |","| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |\n| --- | --- | --- |\n| 1x1x32 | 95.88 | 111 |\n| 1x1x16 | 95.9 | 106 |\n| 1x1x8 | 95.0 | 105 |\n| 1x1x4 | 94.38 | 102 |\n| 1x1x2 | 94.28 | 100 |",0]
["| fc1(size) | TestAccuracy | Time(TitanX) |\n| --- | --- | --- |\n| 1024 | 99.27 | 164s |\n| 512 | 99.25 | 155s |\n| 256 | 99.21 | 148s |\n| 128 | 99.1 | 145s |","| 64 | 98.9 | 159s |\n| --- | --- | --- |\n| 32 | 98.7 | 158s |",1]
["| fc1(size) | TestAccuracy | Time(TitanX) |\n| --- | --- | --- |\n| 1024 | 99.27 | 164s |\n| 512 | 99.25 | 155s |\n| 256 | 99.21 | 148s |\n| 128 | 99.1 | 145s |","| 1x1x16 | 95.9 | 106 |\n| --- | --- | --- |\n| 1x1x8 | 95.0 | 105 |\n| 1x1x4 | 94.38 | 102 |\n| 1x1x2 | 94.28 | 100 |",0]
["| Images | BC | NEDI | SAI | DCC | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Cameraman | 25.37/0.8629 | 25.42/0.8626 | 25.88/0.8709 | 25.92/0.8731 | 25.36/0.8664 |\n| Lena | 33.94/0.9149 | 33.78/0.9142 | 34.71/0.9193 | 34.50/0.9197 | 34.90/0.9225 |","| Lighthouse | 26.93/0.8436 | 26.37/0.8386 | 26.65/0.8445 | 27.19/0.8483 | 27.22/0.8462 |\n| --- | --- | --- | --- | --- | --- |\n| Monarch | 31.86/0.9561 | 31.78/0.9555 | 33.02/0.9623 | 32.92/0.9623 | 33.16/0.9640 |\n| Average | 29.52/0.8944 | 29.33/0.8927 | 30.07/0.8992 | 30.13/0.9009 | 30.16/0.8998 |",1]
["| Images | BC | NEDI | SAI | DCC | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Cameraman | 25.37/0.8629 | 25.42/0.8626 | 25.88/0.8709 | 25.92/0.8731 | 25.36/0.8664 |\n| Lena | 33.94/0.9149 | 33.78/0.9142 | 34.71/0.9193 | 34.50/0.9197 | 34.90/0.9225 |","|  | BMCNN | woBMCNN | DnCNN |\n| --- | --- | --- | --- |\n| Cameraman | 30.20 | 30.08 | 30.11 |\n| Lena | 32.53 | 32.45 | 32.48 |\n| Barbara | 30.58 | 29.91 | 29.94 |\n| Boat | 30.25 | 30.17 | 30.21 |\n| Couple | 30.12 | 30.09 | 30.10 |\n| Fingerprint | 28.01 | 27.61 | 27.64 |\n| Hill | 30.00 | 29.96 | 29.99 |\n| House | 33.32 | 33.20 | 33.23 |\n| Jetplane | 32.17 | 32.02 | 32.06 |\n| Man | 30.06 | 30.04 | 30.06 |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",0]
["| Images | BC | NEDI | SAI | DCC | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Cameraman | 25.37/0.8629 | 25.42/0.8626 | 25.88/0.8709 | 25.92/0.8731 | 25.36/0.8664 |","| Lena | 33.94/0.9149 | 33.78/0.9142 | 34.71/0.9193 | 34.50/0.9197 | 34.90/0.9225 |\n| --- | --- | --- | --- | --- | --- |\n| Lighthouse | 26.93/0.8436 | 26.37/0.8386 | 26.65/0.8445 | 27.19/0.8483 | 27.22/0.8462 |\n| Monarch | 31.86/0.9561 | 31.78/0.9555 | 33.02/0.9623 | 32.92/0.9623 | 33.16/0.9640 |\n| Average | 29.52/0.8944 | 29.33/0.8927 | 30.07/0.8992 | 30.13/0.9009 | 30.16/0.8998 |",1]
["| Images | BC | NEDI | SAI | DCC | Proposed |\n| --- | --- | --- | --- | --- | --- |\n| Cameraman | 25.37/0.8629 | 25.42/0.8626 | 25.88/0.8709 | 25.92/0.8731 | 25.36/0.8664 |","| Man | 30.06 | 30.04 | 30.06 |\n| --- | --- | --- | --- |\n| Montage | 33.47 | 33.02 | 32.97 |\n| Peppers | 30.93 | 30.81 | 30.80 |\n| Average | 30.97 | 30.78 | 30.80 |",0]
["| method | rank1 | rank5 | rank10 | rank20 | rank30 |\n| --- | --- | --- | --- | --- | --- |\n| KernelX-CRC | 68.8 | 91.2 | 95.9 | 98.4 | 99.0 |","| FFN | 66.6 | 86.8 | 92.8 | 96.9 | - |\n| --- | --- | --- | --- | --- | --- |\n| LSSCDL | 60.5 | - | 88.6 | 93.6 | - |\n| SemanticRepresentation | 44.9 | 71.7 | 77.5 | 86.7 | - |\n| CorrespondenceStructureLearning | 44.4 | 71.6 | 82.2 | 89.8 | 93.3 |\n| SCNCD | 41.6 | 68.9 | 79.4 | 87.8 | 95.4 |\n| Proposed+NullSpace | 70.7 | 90.7 | 94.8 | 97.8 | 99.2 |",1]
["| method | rank1 | rank5 | rank10 | rank20 | rank30 |\n| --- | --- | --- | --- | --- | --- |\n| KernelX-CRC | 68.8 | 91.2 | 95.9 | 98.4 | 99.0 |","| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |\n| --- | --- | --- | --- | --- | --- | --- |\n| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |\n| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |\n| Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 |\n| ConvLSTM-nt | 8.6 | 16.9 | 14.6 | 15.4 | 4.0 | 11.9 |\n| ConvLSTM | 7.1 | 15.2 | 15.2 | 13.9 | 3.5 | 10.9 |\n| BidirectionalConvLSTM | 6.8 | 14.5 | 14.9 | 13.5 | 3.1 | 10.6 |",0]
["| method | rank1 | rank5 | rank10 | rank20 | rank30 |\n| --- | --- | --- | --- | --- | --- |\n| KernelX-CRC | 68.8 | 91.2 | 95.9 | 98.4 | 99.0 |\n| FFN | 66.6 | 86.8 | 92.8 | 96.9 | - |\n| LSSCDL | 60.5 | - | 88.6 | 93.6 | - |\n| SemanticRepresentation | 44.9 | 71.7 | 77.5 | 86.7 | - |","| CorrespondenceStructureLearning | 44.4 | 71.6 | 82.2 | 89.8 | 93.3 |\n| --- | --- | --- | --- | --- | --- |\n| SCNCD | 41.6 | 68.9 | 79.4 | 87.8 | 95.4 |\n| Proposed+NullSpace | 70.7 | 90.7 | 94.8 | 97.8 | 99.2 |",1]
["| method | rank1 | rank5 | rank10 | rank20 | rank30 |\n| --- | --- | --- | --- | --- | --- |\n| KernelX-CRC | 68.8 | 91.2 | 95.9 | 98.4 | 99.0 |\n| FFN | 66.6 | 86.8 | 92.8 | 96.9 | - |\n| LSSCDL | 60.5 | - | 88.6 | 93.6 | - |\n| SemanticRepresentation | 44.9 | 71.7 | 77.5 | 86.7 | - |","| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 |\n| ConvLSTM-nt | 8.6 | 16.9 | 14.6 | 15.4 | 4.0 | 11.9 |\n| ConvLSTM | 7.1 | 15.2 | 15.2 | 13.9 | 3.5 | 10.9 |\n| BidirectionalConvLSTM | 6.8 | 14.5 | 14.9 | 13.5 | 3.1 | 10.6 |",0]
["| ODSOISAP |\n| --- |\n| 0.8000.800– |","| 0.5900.6200.578<br>0.7210.7390.768<br>0.7390.7590.792 |\n| --- |\n| 0.7570.7760.790<br>0.7800.7970.814 |\n| 0.7820.8000.779 |",1]
["| ODSOISAP |\n| --- |\n| 0.8000.800– |","| ODS | OIS |\n| --- | --- |\n| .651<br>.631<br>.687<br>.695<br>.706 | .667<br>.661<br>.716<br>.708<br>.734 |\n| .720<br>.682<br>.746 | .734<br>.695<br>.761 |\n| .729<br>.705<br>.757 | .742<br>.715<br>.771 |\n| .739<br>.707<br>.762 | .754<br>.719<br>.778 |",0]
["| ODSOISAP |\n| --- |\n| 0.8000.800– |\n| 0.5900.6200.578<br>0.7210.7390.768<br>0.7390.7590.792 |","| 0.7570.7760.790<br>0.7800.7970.814 |\n| --- |\n| 0.7820.8000.779 |",1]
["| ODSOISAP |\n| --- |\n| 0.8000.800– |\n| 0.5900.6200.578<br>0.7210.7390.768<br>0.7390.7590.792 |","| .729<br>.705<br>.757 | .742<br>.715<br>.771 |\n| --- | --- |\n| .739<br>.707<br>.762 | .754<br>.719<br>.778 |",0]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Dataset1 | Dataset2 | Dataset3 |\n| f(px)x | 216.520±1.399 | 216.307±1.898 | 216.360±0.579 |\n| f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |","| u(px)0 | 122.241±1.106 | 121.847±1.162 | 122.414±0.758 |\n| --- | --- | --- | --- |\n| v(px)0 | 113.410±0.826 | 112.981±0.970 | 111.535±0.646 |\n| k1 | -0.349±0.010 | -0.353±0.011 | -0.369±0.023 |\n| k2 | 0.148±0.021 | 0.144±0.021 | 0.303±0.182 |\n| k3 | 0.000±0.000 | 0.000±0.000 | -0.366±0.417 |",1]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Dataset1 | Dataset2 | Dataset3 |\n| f(px)x | 216.520±1.399 | 216.307±1.898 | 216.360±0.579 |\n| f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |","| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Test1 | Test2 | Test3 |\n| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |\n| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 |\n| u(px)0 | 121.501±1.096 | 123.041±1.044 | 121.813±1.055 |\n| v(px)0 | 113.061±0.954 | 111.483±0.851 | 113.324±0.954 |\n| k1 | -0.379±0.034 | -0.383±0.029 | -0.376±0.034 |\n| k2 | 0.384±0.276 | 0.370±0.220 | 0.361±0.182 |\n| k3 | -0.588±0.663 | -0.425±0.480 | -0.575±0.658 |",0]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Dataset1 | Dataset2 | Dataset3 |\n| f(px)x | 216.520±1.399 | 216.307±1.898 | 216.360±0.579 |\n| f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |\n| u(px)0 | 122.241±1.106 | 121.847±1.162 | 122.414±0.758 |\n| v(px)0 | 113.410±0.826 | 112.981±0.970 | 111.535±0.646 |\n| k1 | -0.349±0.010 | -0.353±0.011 | -0.369±0.023 |","| k2 | 0.148±0.021 | 0.144±0.021 | 0.303±0.182 |\n| --- | --- | --- | --- |\n| k3 | 0.000±0.000 | 0.000±0.000 | -0.366±0.417 |",1]
["| Camera1/LeftCamera |  |  |  |\n| --- | --- | --- | --- |\n|  | Dataset1 | Dataset2 | Dataset3 |\n| f(px)x | 216.520±1.399 | 216.307±1.898 | 216.360±0.579 |\n| f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |\n| u(px)0 | 122.241±1.106 | 121.847±1.162 | 122.414±0.758 |\n| v(px)0 | 113.410±0.826 | 112.981±0.970 | 111.535±0.646 |\n| k1 | -0.349±0.010 | -0.353±0.011 | -0.369±0.023 |","| v(px)0 | 113.061±0.954 | 111.483±0.851 | 113.324±0.954 |\n| --- | --- | --- | --- |\n| k1 | -0.379±0.034 | -0.383±0.029 | -0.376±0.034 |\n| k2 | 0.384±0.276 | 0.370±0.220 | 0.361±0.182 |\n| k3 | -0.588±0.663 | -0.425±0.480 | -0.575±0.658 |",0]
["| Opinion | FH | NS |\n| --- | --- | --- |\n| SysF-SAcc | F-SAcc |  |","| Cosine.535.754<br>Combination.535.757 | .504.617<br>.520.620 |  |\n| --- | --- | --- |\n| Aspects | FH | NS |\n| SysF-SAcc | F-SAcc |  |\n| Cosine.367.468<br>Combination.369.473 | .280.463<br>.269.451 |  |",1]
["| Opinion | FH | NS |\n| --- | --- | --- |\n| SysF-SAcc | F-SAcc |  |","| Alg. | Tr.Fl.1;Te.Fl.3 | Tr.Fl.3;Te.Fl.1 | Alg. |\n| --- | --- | --- | --- |\n| MI-HE(HSD) | 0.304 | 0.449 | MI-SMF(ACE) |\n| M-IHE(ACE) | 0.257 | 0.254 | MI-SMF(SMF) |\n| eFUMI(ACE) | 0.214 | 0.325 | mi-SVM |\n| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",0]
["| Opinion | FH | NS |\n| --- | --- | --- |\n| SysF-SAcc | F-SAcc |  |\n| Cosine.535.754<br>Combination.535.757 | .504.617<br>.520.620 |  |","| Aspects | FH | NS |\n| --- | --- | --- |\n| SysF-SAcc | F-SAcc |  |\n| Cosine.367.468<br>Combination.369.473 | .280.463<br>.269.451 |  |",1]
["| Opinion | FH | NS |\n| --- | --- | --- |\n| SysF-SAcc | F-SAcc |  |\n| Cosine.535.754<br>Combination.535.757 | .504.617<br>.520.620 |  |","| M-IHE(ACE) | 0.257 | 0.254 | MI-SMF(SMF) |\n| --- | --- | --- | --- |\n| eFUMI(ACE) | 0.214 | 0.325 | mi-SVM |\n| eFUMI(HSD) | 0.256 | 0.331 | EM-DD(ACE) |\n| MI-ACE(ACE) | 0.226 | 0.340 | DMIL(ACE) |",0]
["| Scenario | Appli.<br>1 | Appli.<br>2 | Appli.<br>3 | Appli.<br>4 |\n| --- | --- | --- | --- | --- |\n| ChannelCoding | Rate=1/3<br>Codeblocksize=1024 |  |  |  |","| QAMModulation | QPSK |  |  |  |\n| --- | --- | --- | --- | --- |\n| (I)FFTSize | 256 | 512 | 1024 | 2048 |\n| TXantenna | 2 |  |  |  |\n| Dataquantization | 14bits |  |  |  |\n| FPGAType | XilinxVirtex-6LX240T |  |  |  |\n| ClockFrequency | 50MHz |  |  |  |\n| Simulationtime | Generationof5LTEsub-frames |  |  |  |",1]
["| Scenario | Appli.<br>1 | Appli.<br>2 | Appli.<br>3 | Appli.<br>4 |\n| --- | --- | --- | --- | --- |\n| ChannelCoding | Rate=1/3<br>Codeblocksize=1024 |  |  |  |","| ScenarioParameters | Application1 | Application2 |\n| --- | --- | --- |\n| ChannelCodingRate | 1/3 |  |\n| QAMModulation | QPSK | 16-QAM |\n| FrequencyBandwidth | 5MHz | 10MHz |\n| Dataquantization | 10bits | 14bits |\n| FrameType | 1OFDMsymbolpilot<br>every10OFDMsymbolsofdata |  |\n| FPGA | XilinxVirtex-6LX240T |  |\n| ClockFrequency | 100MHz |  |",0]
["| Scenario | Appli.<br>1 | Appli.<br>2 | Appli.<br>3 | Appli.<br>4 |\n| --- | --- | --- | --- | --- |\n| ChannelCoding | Rate=1/3<br>Codeblocksize=1024 |  |  |  |\n| QAMModulation | QPSK |  |  |  |\n| (I)FFTSize | 256 | 512 | 1024 | 2048 |","| TXantenna | 2 |\n| --- | --- |\n| Dataquantization | 14bits |\n| FPGAType | XilinxVirtex-6LX240T |\n| ClockFrequency | 50MHz |\n| Simulationtime | Generationof5LTEsub-frames |",1]
["| Scenario | Appli.<br>1 | Appli.<br>2 | Appli.<br>3 | Appli.<br>4 |\n| --- | --- | --- | --- | --- |\n| ChannelCoding | Rate=1/3<br>Codeblocksize=1024 |  |  |  |\n| QAMModulation | QPSK |  |  |  |\n| (I)FFTSize | 256 | 512 | 1024 | 2048 |","| QAMModulation | QPSK | 16-QAM |\n| --- | --- | --- |\n| FrequencyBandwidth | 5MHz | 10MHz |\n| Dataquantization | 10bits | 14bits |\n| FrameType | 1OFDMsymbolpilot<br>every10OFDMsymbolsofdata |  |\n| FPGA | XilinxVirtex-6LX240T |  |\n| ClockFrequency | 100MHz |  |",0]
["| Algorithm | Time(msec) | Entity |\n| --- | --- | --- |\n| GM.Setup | 105.712 | GM |\n| KGC.Setup | 102.883 | KGC |\n| Join | 109.036 | User-GM |\n| UserKeyGen | 102.958 | User-KGC |\n| SendRequest | 125.069 | User |\n| ValidityCheck | 199.247 | SP |","| SendContent | 198.636 | SP |\n| --- | --- | --- |\n| GetContent | 101.158 | User |",1]
["| Algorithm | Time(msec) | Entity |\n| --- | --- | --- |\n| GM.Setup | 105.712 | GM |\n| KGC.Setup | 102.883 | KGC |\n| Join | 109.036 | User-GM |\n| UserKeyGen | 102.958 | User-KGC |\n| SendRequest | 125.069 | User |\n| ValidityCheck | 199.247 | SP |","| Parameter | Values |\n| --- | --- |\n| NumberofnodesN | 1000,5000 |\n| Maximumnodedegreemaxk | 50 |\n| Averagenodedegreeavgk | 10 |\n| Degreedistributionτ1 | -2 |\n| Maximumcommunitysizemaxc | 50,100 |\n| Minimumcommunitysizeminc | 10,20 |\n| Communitysizedistributionτ2 | -1 |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["| Algorithm | Time(msec) | Entity |\n| --- | --- | --- |\n| GM.Setup | 105.712 | GM |\n| KGC.Setup | 102.883 | KGC |","| Join | 109.036 | User-GM |\n| --- | --- | --- |\n| UserKeyGen | 102.958 | User-KGC |\n| SendRequest | 125.069 | User |\n| ValidityCheck | 199.247 | SP |\n| SendContent | 198.636 | SP |\n| GetContent | 101.158 | User |",1]
["| Algorithm | Time(msec) | Entity |\n| --- | --- | --- |\n| GM.Setup | 105.712 | GM |\n| KGC.Setup | 102.883 | KGC |","| Communitysizedistributionτ2 | -1 |\n| --- | --- |\n| Mixingparameterµ | [0.05,0.075]withstepof0.05 |\n| OverlappingNodesOn | 500 |\n| OverlappingMembershipsOm | [1,8]withstepof1 |",0]
["| Features | Example |\n| --- | --- |\n| SMTFeatures |  |\n| rankofthehypothesis | 1 |\n| LexicalandPOSFeatures |  |\n| sourcephrase<br>hypothesisphrase<br>source+hyp.phrase<br>POSofsourcephrase<br>POSofhyp.phrase<br>POSofsource+hyp.phrase | waits<br>sat<br>waits+sat<br>VBZ<br>VBD<br>VBZ+VBD |\n| ContextFeatures |  |\n| wordbefore+sourcephrase<br>wordbefore+hyp.phrase<br>sourcephrase+wordafter<br>hyp.phrase+wordafter<br>nearestNPheadtotheleft<br>+(source,hyp.phrase)<br>nearestNPheadtotheright<br>+(source,hyp.phrase)<br>nearestVPheadtotheleft<br>+(source,hyp.phrase)<br>nearestVPheadtotheright<br>+(source,hyp.phrase) | cat+waits<br>cat+sat<br>waits+on<br>sat+on<br>cat<br>cat+{waits,sat}<br>dog<br>dog+{waits,sat}<br>NULL<br>NULL+{waits,sat}<br>eats<br>eats+{waits,sat} |","| LanguageModelFeatures |  |\n| --- | --- |\n| sourcesentence<br>hypothesissentence<br>sourcephrase<br>hypothesisphrase<br>wordbefore+sourcephrase<br>wordbefore+hyp.phrase<br>sourcephrase+wordafter<br>hyp.phrase+wordafter<br>scorediﬀerence | logLM(src)<br>logLM(hyp)<br>logLM(waits)<br>logLM(sat)<br>logLM(catwaits)<br>logLM(catsat)<br>logLM(waitson)<br>logLM(saton)<br>logLM(sat)−logLM(waits)<br>logLM(hyp)−logLM(src) |",1]
["| Features | Example |\n| --- | --- |\n| SMTFeatures |  |\n| rankofthehypothesis | 1 |\n| LexicalandPOSFeatures |  |\n| sourcephrase<br>hypothesisphrase<br>source+hyp.phrase<br>POSofsourcephrase<br>POSofhyp.phrase<br>POSofsource+hyp.phrase | waits<br>sat<br>waits+sat<br>VBZ<br>VBD<br>VBZ+VBD |\n| ContextFeatures |  |\n| wordbefore+sourcephrase<br>wordbefore+hyp.phrase<br>sourcephrase+wordafter<br>hyp.phrase+wordafter<br>nearestNPheadtotheleft<br>+(source,hyp.phrase)<br>nearestNPheadtotheright<br>+(source,hyp.phrase)<br>nearestVPheadtotheleft<br>+(source,hyp.phrase)<br>nearestVPheadtotheright<br>+(source,hyp.phrase) | cat+waits<br>cat+sat<br>waits+on<br>sat+on<br>cat<br>cat+{waits,sat}<br>dog<br>dog+{waits,sat}<br>NULL<br>NULL+{waits,sat}<br>eats<br>eats+{waits,sat} |","| Type1:Lengthofproductionunit<br>#ofwords/#ofclauses<br>#ofwords/#ofsentences<br>#ofwords/#ofT-units |\n| --- |\n| Type2:Sentencecomplexity<br>#ofclauses/#ofsentences |\n| Type3:Subordination<br>#ofclauses/#ofT-units<br>#ofdependentclauses/#ofclauses<br>#ofdependentclauses/#ofT-units |\n| Type4:Coordination<br>#ofcoordinatephrases/#ofclauses<br>#ofcoordinatephrases/#ofT-units |\n| Type5:Particularstructures<br>#ofverbphrases/#ofT-units |",0]
["| Features | Example |\n| --- | --- |\n| SMTFeatures |  |\n| rankofthehypothesis | 1 |\n| LexicalandPOSFeatures |  |\n| sourcephrase<br>hypothesisphrase<br>source+hyp.phrase<br>POSofsourcephrase<br>POSofhyp.phrase<br>POSofsource+hyp.phrase | waits<br>sat<br>waits+sat<br>VBZ<br>VBD<br>VBZ+VBD |\n| ContextFeatures |  |\n| wordbefore+sourcephrase<br>wordbefore+hyp.phrase<br>sourcephrase+wordafter<br>hyp.phrase+wordafter<br>nearestNPheadtotheleft<br>+(source,hyp.phrase)<br>nearestNPheadtotheright<br>+(source,hyp.phrase)<br>nearestVPheadtotheleft<br>+(source,hyp.phrase)<br>nearestVPheadtotheright<br>+(source,hyp.phrase) | cat+waits<br>cat+sat<br>waits+on<br>sat+on<br>cat<br>cat+{waits,sat}<br>dog<br>dog+{waits,sat}<br>NULL<br>NULL+{waits,sat}<br>eats<br>eats+{waits,sat} |","| LanguageModelFeatures |  |\n| --- | --- |\n| sourcesentence<br>hypothesissentence<br>sourcephrase<br>hypothesisphrase<br>wordbefore+sourcephrase<br>wordbefore+hyp.phrase<br>sourcephrase+wordafter<br>hyp.phrase+wordafter<br>scorediﬀerence | logLM(src)<br>logLM(hyp)<br>logLM(waits)<br>logLM(sat)<br>logLM(catwaits)<br>logLM(catsat)<br>logLM(waitson)<br>logLM(saton)<br>logLM(sat)−logLM(waits)<br>logLM(hyp)−logLM(src) |",1]
["| Features | Example |\n| --- | --- |\n| SMTFeatures |  |\n| rankofthehypothesis | 1 |\n| LexicalandPOSFeatures |  |\n| sourcephrase<br>hypothesisphrase<br>source+hyp.phrase<br>POSofsourcephrase<br>POSofhyp.phrase<br>POSofsource+hyp.phrase | waits<br>sat<br>waits+sat<br>VBZ<br>VBD<br>VBZ+VBD |\n| ContextFeatures |  |\n| wordbefore+sourcephrase<br>wordbefore+hyp.phrase<br>sourcephrase+wordafter<br>hyp.phrase+wordafter<br>nearestNPheadtotheleft<br>+(source,hyp.phrase)<br>nearestNPheadtotheright<br>+(source,hyp.phrase)<br>nearestVPheadtotheleft<br>+(source,hyp.phrase)<br>nearestVPheadtotheright<br>+(source,hyp.phrase) | cat+waits<br>cat+sat<br>waits+on<br>sat+on<br>cat<br>cat+{waits,sat}<br>dog<br>dog+{waits,sat}<br>NULL<br>NULL+{waits,sat}<br>eats<br>eats+{waits,sat} |","| Type4:Coordination<br>#ofcoordinatephrases/#ofclauses<br>#ofcoordinatephrases/#ofT-units |\n| --- |\n| Type5:Particularstructures<br>#ofverbphrases/#ofT-units |",0]
["| Regularization | Methods | RSNRUIQISAMERGASDDTime |\n| --- | --- | --- |\n| supervised<br>naiveGaussian | ADMM | 29.2950.99061.5560.8927.12188.58 |\n| ProposedSE | 29.3660.99081.5520.8807.0940.57 |  |\n| unsupervised<br>naiveGaussian | ADMM-BCD | 29.0780.99021.5950.9147.27953.90 |\n| ProposedSE-BCD | 29.0760.99021.6240.9147.3691.07 |  |","| sparse<br>representation | ADMM-BCD | 29.5750.99121.4740.8606.83396.09 |\n| --- | --- | --- |\n| ProposedSE-BCD | 29.6000.99131.4720.8566.82023.72 |  |\n| TV | ADMM | 29.4700.99111.5030.8616.923138.98 |\n| ProposedSE-ADMM | 29.6260.99141.4780.8466.79593.94 |  |",1]
["| Regularization | Methods | RSNRUIQISAMERGASDDTime |\n| --- | --- | --- |\n| supervised<br>naiveGaussian | ADMM | 29.2950.99061.5560.8927.12188.58 |\n| ProposedSE | 29.3660.99081.5520.8807.0940.57 |  |\n| unsupervised<br>naiveGaussian | ADMM-BCD | 29.0780.99021.5950.9147.27953.90 |\n| ProposedSE-BCD | 29.0760.99021.6240.9147.3691.07 |  |","| Algorithms | Normal | Probe | DoS | U2R | R2L |\n| --- | --- | --- | --- | --- | --- |\n| DecisionTree | 95.63 | 95.47 | 99.02 | 6.25 | 8.27 |\n| Adaboost | 96.17 | 96.62 | 99.85 | 20.34 | 19.68 |\n| RF | 96.28 | 95.85 | 100 | 12.19 | 14.51 |\n| SVM | 97.72 | 97.55 | 99.78 | 12.49 | 12.72 |\n| GBDT | 98.54 | 98.79 | 100 | 27.65 | 21.45 |\n| Proposedalgorithm | 99.02 | 99.63 | 100 | 57.46 | 23.84 |",0]
["| Regularization | Methods | RSNRUIQISAMERGASDDTime |\n| --- | --- | --- |\n| supervised<br>naiveGaussian | ADMM | 29.2950.99061.5560.8927.12188.58 |\n| ProposedSE | 29.3660.99081.5520.8807.0940.57 |  |\n| unsupervised<br>naiveGaussian | ADMM-BCD | 29.0780.99021.5950.9147.27953.90 |\n| ProposedSE-BCD | 29.0760.99021.6240.9147.3691.07 |  |","| sparse<br>representation | ADMM-BCD | 29.5750.99121.4740.8606.83396.09 |\n| --- | --- | --- |\n| ProposedSE-BCD | 29.6000.99131.4720.8566.82023.72 |  |\n| TV | ADMM | 29.4700.99111.5030.8616.923138.98 |\n| ProposedSE-ADMM | 29.6260.99141.4780.8466.79593.94 |  |",1]
["| Regularization | Methods | RSNRUIQISAMERGASDDTime |\n| --- | --- | --- |\n| supervised<br>naiveGaussian | ADMM | 29.2950.99061.5560.8927.12188.58 |\n| ProposedSE | 29.3660.99081.5520.8807.0940.57 |  |\n| unsupervised<br>naiveGaussian | ADMM-BCD | 29.0780.99021.5950.9147.27953.90 |\n| ProposedSE-BCD | 29.0760.99021.6240.9147.3691.07 |  |","| Adaboost | 96.17 | 96.62 | 99.85 | 20.34 | 19.68 |\n| --- | --- | --- | --- | --- | --- |\n| RF | 96.28 | 95.85 | 100 | 12.19 | 14.51 |\n| SVM | 97.72 | 97.55 | 99.78 | 12.49 | 12.72 |\n| GBDT | 98.54 | 98.79 | 100 | 27.65 | 21.45 |\n| Proposedalgorithm | 99.02 | 99.63 | 100 | 57.46 | 23.84 |",0]
["| copies | RBs | SNR(dB) | SSIM |\n| --- | --- | --- | --- |\n| 10 | 1 | 22.04 | 0.835 |","| 5 | 2 | 20.16 | 0.794 |\n| --- | --- | --- | --- |\n| 2 | 5 | 19.24 | 0.7496 |\n| 1 | 10 | 18.48 | 0.71 |",1]
["| copies | RBs | SNR(dB) | SSIM |\n| --- | --- | --- | --- |\n| 10 | 1 | 22.04 | 0.835 |","| copies | RBs | inferencetime(sec) | SNR(dB),independent | SSIM,independent |\n| --- | --- | --- | --- | --- |\n| 10 | 1 | 0.04 | 27.03 | 0.923 |\n| 5 | 2 | 0.10 | 27.01 | 0.9258 |\n| 2 | 5 | 0.12 | 28.14 | 0.944 |\n| 1 | 10 | 0.0522 | 24.33 | 0.8810 |\n| CS-TV | n/a | 1.30 | 22.20 | 0.82 |\n| CS-WV | n/a | 1.16 | 22.51 | 0.86 |",0]
["| copies | RBs | SNR(dB) | SSIM |\n| --- | --- | --- | --- |\n| 10 | 1 | 22.04 | 0.835 |","| 5 | 2 | 20.16 | 0.794 |\n| --- | --- | --- | --- |\n| 2 | 5 | 19.24 | 0.7496 |\n| 1 | 10 | 18.48 | 0.71 |",1]
["| copies | RBs | SNR(dB) | SSIM |\n| --- | --- | --- | --- |\n| 10 | 1 | 22.04 | 0.835 |","| CS-TV | n/a | 1.30 | 22.20 | 0.82 |\n| --- | --- | --- | --- | --- |\n| CS-WV | n/a | 1.16 | 22.51 | 0.86 |",0]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 0.208 | 0.362 | 0.856 |","| DT-MKL | 0.268 | 0.397 | 0.918 |\n| --- | --- | --- | --- |\n| DLRC | 0.196 | 0.384 | 0.862 |\n| CDSC | 0.209 | 0.367 | 0.901 |\n| DTC | 0.301 | 0.435 | 0.932 |",1]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 0.208 | 0.362 | 0.856 |","| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 1682 | 654 | 482 |\n| DT-MKL | 1812 | 722 | 587 |\n| DLRC | 947 | 365 | 148 |\n| CDSC | 861 | 247 | 130 |\n| DTC | 2043 | 510 | 254 |",0]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 0.208 | 0.362 | 0.856 |\n| DT-MKL | 0.268 | 0.397 | 0.918 |","| DLRC | 0.196 | 0.384 | 0.862 |\n| --- | --- | --- | --- |\n| CDSC | 0.209 | 0.367 | 0.901 |\n| DTC | 0.301 | 0.435 | 0.932 |",1]
["| Method | TRECVID | MRSC+VOC | 20Newsgroups |\n| --- | --- | --- | --- |\n| DT-SVM | 0.208 | 0.362 | 0.856 |\n| DT-MKL | 0.268 | 0.397 | 0.918 |","| DLRC | 947 | 365 | 148 |\n| --- | --- | --- | --- |\n| CDSC | 861 | 247 | 130 |\n| DTC | 2043 | 510 | 254 |",0]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.00001 | 0.000305 | 12 | 10.953 |\n| 0.00002 | 0.000305 | 13 | 10.656 |\n| 0.00003 | 0.000305 | 12 | 10.516 |\n| 0.00004 | 0.000305 | 12 | 11.703 |\n| 0.00005 | 0.000305 | 13 | 11.610 |\n| 0.00006 | 0.000305 | 13 | 11.547 |","| 0.00007 | 0.000305 | 13 | 11.672 |\n| --- | --- | --- | --- |\n| 0.00008 | 0.000305 | 13 | 11.813 |\n| 0.00009 | 0.000305 | 13 | 11.813 |\n| 0.0001 | 0.000305 | 13 | 11.890 |\n| 0.0002 | 0.000305 | 14 | 13.110 |\n| 0.0003 | 0.000306 | 14 | 13.110 |\n| 0.0004 | 0.000308 | 16 | 15.407 |\n| 0.0005 | 0.000310 | 24 | 22.844 |\n| 0.0006 | 0.000312 | 15 | 14.250 |\n| 0.0007 | 0.000315 | 15 | 14.328 |\n| 0.0008 | 0.000319 | 32 | 30.563 |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",1]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.00001 | 0.000305 | 12 | 10.953 |\n| 0.00002 | 0.000305 | 13 | 10.656 |\n| 0.00003 | 0.000305 | 12 | 10.516 |\n| 0.00004 | 0.000305 | 12 | 11.703 |\n| 0.00005 | 0.000305 | 13 | 11.610 |\n| 0.00006 | 0.000305 | 13 | 11.547 |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.00001 | 0.000305 | 12 | 10.953 |\n| 0.00002 | 0.000305 | 13 | 10.656 |\n| 0.00003 | 0.000305 | 12 | 10.516 |\n| 0.00004 | 0.000305 | 12 | 11.703 |\n| 0.00005 | 0.000305 | 13 | 11.610 |\n| 0.00006 | 0.000305 | 13 | 11.547 |","| 0.00007 | 0.000305 | 13 | 11.672 |\n| --- | --- | --- | --- |\n| 0.00008 | 0.000305 | 13 | 11.813 |\n| 0.00009 | 0.000305 | 13 | 11.813 |\n| 0.0001 | 0.000305 | 13 | 11.890 |\n| 0.0002 | 0.000305 | 14 | 13.110 |\n| 0.0003 | 0.000306 | 14 | 13.110 |\n| 0.0004 | 0.000308 | 16 | 15.407 |\n| 0.0005 | 0.000310 | 24 | 22.844 |\n| 0.0006 | 0.000312 | 15 | 14.250 |\n| 0.0007 | 0.000315 | 15 | 14.328 |\n| 0.0008 | 0.000319 | 32 | 30.563 |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",1]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.00001 | 0.000305 | 12 | 10.953 |\n| 0.00002 | 0.000305 | 13 | 10.656 |\n| 0.00003 | 0.000305 | 12 | 10.516 |\n| 0.00004 | 0.000305 | 12 | 11.703 |\n| 0.00005 | 0.000305 | 13 | 11.610 |\n| 0.00006 | 0.000305 | 13 | 11.547 |","| 0.0002 | 0.000189 | 2 | 0.234 |\n| --- | --- | --- | --- |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| Vertex | Room |\n| --- | --- |\n| E | Entrance |\n| X | Exit |\n| H | Hall |\n| W1 | WaterLilies(ﬁrstpart) |\n| W2 | WaterLilies(secondpart) |\n| 1 | L’Aged’Or |\n| 2 | PaulGuillaumeRoom |\n| 3 | Impressionism |\n| 4 | Modernprimitives |\n| 5 | Laurencinroom |","| 6 | Modernclassicism |\n| --- | --- |\n| 7 | Derainroom |\n| 8 | Soutine/Utrilloroom |",1]
["| Vertex | Room |\n| --- | --- |\n| E | Entrance |\n| X | Exit |\n| H | Hall |\n| W1 | WaterLilies(ﬁrstpart) |\n| W2 | WaterLilies(secondpart) |\n| 1 | L’Aged’Or |\n| 2 | PaulGuillaumeRoom |\n| 3 | Impressionism |\n| 4 | Modernprimitives |\n| 5 | Laurencinroom |","| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["| Vertex | Room |\n| --- | --- |\n| E | Entrance |\n| X | Exit |","| H | Hall |\n| --- | --- |\n| W1 | WaterLilies(ﬁrstpart) |\n| W2 | WaterLilies(secondpart) |\n| 1 | L’Aged’Or |\n| 2 | PaulGuillaumeRoom |\n| 3 | Impressionism |\n| 4 | Modernprimitives |\n| 5 | Laurencinroom |\n| 6 | Modernclassicism |\n| 7 | Derainroom |\n| 8 | Soutine/Utrilloroom |",1]
["| Vertex | Room |\n| --- | --- |\n| E | Entrance |\n| X | Exit |","| 13 | glassmagician | 0.11 | 0.1075 |\n| --- | --- | --- | --- |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["| Polyhedron | Rotationgroup | Symmetrygroup | Symmetricity |\n| --- | --- | --- | --- |\n| Regulartetrahedron | T | Td | {D,S}24 |\n| Regularoctahedron | O | Oh | {D,S}36 |","| Cube | O | Oh | {D,D,D,C,S}42h2v4h4 |\n| --- | --- | --- | --- |\n| Regulardodecahedron | I | Ih | {D,D,S}5210 |\n| Regularicosahedron | I | Ih | {T,D,S}36 |",1]
["| Polyhedron | Rotationgroup | Symmetrygroup | Symmetricity |\n| --- | --- | --- | --- |\n| Regulartetrahedron | T | Td | {D,S}24 |\n| Regularoctahedron | O | Oh | {D,S}36 |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| Polyhedron | Rotationgroup | Symmetrygroup | Symmetricity |\n| --- | --- | --- | --- |\n| Regulartetrahedron | T | Td | {D,S}24 |","| Regularoctahedron | O | Oh | {D,S}36 |\n| --- | --- | --- | --- |\n| Cube | O | Oh | {D,D,D,C,S}42h2v4h4 |\n| Regulardodecahedron | I | Ih | {D,D,S}5210 |\n| Regularicosahedron | I | Ih | {T,D,S}36 |",1]
["| Polyhedron | Rotationgroup | Symmetrygroup | Symmetricity |\n| --- | --- | --- | --- |\n| Regulartetrahedron | T | Td | {D,S}24 |","| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| --- | --- | --- |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| Basis | db4 | db10 | coif1 | coif4 | coif5 | sym4 | sym10 | bior2.2 | bior2.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=0.5se | 9.837 | 9.583 | 8.340 | 9.346 | 9.563 | 8.894 | 9.088 | 8.658 | 8.5910 |\n| T=1se | 8.9912 | 8.9888 | 7.6042 | 8.383 | 8.7456 | 7.5807 | 8.1286 | 7.9584 | 7.7010 |\n| T=2se | 7.8232 | 7.3634 | 6.8023 | 7.8996 | 7.7596 | 6.097 | 7.2485 | 6.922 | 6.7302 |","| T=5se | 8.087 | 7.951 | 8.957 | 8.239 | 8.509 | 7.761 | 7.855 | 8.403 | 8.009 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=10se | 8.9017 | 8.9301 | 7.8784 | 8.4588 | 8.6935 | 7.9610 | 8.2871 | 7.9732 | 7.9401 |",1]
["| Basis | db4 | db10 | coif1 | coif4 | coif5 | sym4 | sym10 | bior2.2 | bior2.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=0.5se | 9.837 | 9.583 | 8.340 | 9.346 | 9.563 | 8.894 | 9.088 | 8.658 | 8.5910 |\n| T=1se | 8.9912 | 8.9888 | 7.6042 | 8.383 | 8.7456 | 7.5807 | 8.1286 | 7.9584 | 7.7010 |\n| T=2se | 7.8232 | 7.3634 | 6.8023 | 7.8996 | 7.7596 | 6.097 | 7.2485 | 6.922 | 6.7302 |","| Sys<br>tem | AdjSWAP<br>MatMis | KBSwap<br>MatMis | CNSwap<br>MatMis | FNSwap<br>MatMis |\n| --- | --- | --- | --- | --- |\n| NB | 43.042.9 | 47.747.9 | 51.149.8 | 49.749.6 |\n| CH | 68.2468.1 | 68.568.3 | 68.369.1 | 69.970.3 |\n| RC | 66.666.4 | 67.066.8 | 66.667.0 | 68.468.4 |\n| IS | 57.858.6 | 57.758.7 | 58.359.4 | 57.557.6 |",0]
["| Basis | db4 | db10 | coif1 | coif4 | coif5 | sym4 | sym10 | bior2.2 | bior2.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=0.5se | 9.837 | 9.583 | 8.340 | 9.346 | 9.563 | 8.894 | 9.088 | 8.658 | 8.5910 |\n| T=1se | 8.9912 | 8.9888 | 7.6042 | 8.383 | 8.7456 | 7.5807 | 8.1286 | 7.9584 | 7.7010 |","| T=2se | 7.8232 | 7.3634 | 6.8023 | 7.8996 | 7.7596 | 6.097 | 7.2485 | 6.922 | 6.7302 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=5se | 8.087 | 7.951 | 8.957 | 8.239 | 8.509 | 7.761 | 7.855 | 8.403 | 8.009 |\n| T=10se | 8.9017 | 8.9301 | 7.8784 | 8.4588 | 8.6935 | 7.9610 | 8.2871 | 7.9732 | 7.9401 |",1]
["| Basis | db4 | db10 | coif1 | coif4 | coif5 | sym4 | sym10 | bior2.2 | bior2.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=0.5se | 9.837 | 9.583 | 8.340 | 9.346 | 9.563 | 8.894 | 9.088 | 8.658 | 8.5910 |\n| T=1se | 8.9912 | 8.9888 | 7.6042 | 8.383 | 8.7456 | 7.5807 | 8.1286 | 7.9584 | 7.7010 |","| CH | 68.2468.1 | 68.568.3 | 68.369.1 | 69.970.3 |\n| --- | --- | --- | --- | --- |\n| RC | 66.666.4 | 67.066.8 | 66.667.0 | 68.468.4 |\n| IS | 57.858.6 | 57.758.7 | 58.359.4 | 57.557.6 |",0]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mean |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 6.7 | 5.4 | 6.0 | 12.0 | 8.4 | 4.4 | 9.7 | 7.5 |","| FCNESPMsk | 6.7 | 4.6 | 4.7 | 11.3 | 6.7 | 4.7 | 9.1 | 6.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESPMM | 6.8 | 5.0 | 5.5 | 11.0 | 8.3 | 4.5 | 9.1 | 7.1 |\n| FCNESPMMMsk | 6.9 | 5.3 | 5.7 | 9.6 | 6.9 | 4.6 | 9.1 | 6.9 |\n| FCNMSP | 7.4 | 4.4 | 5.9 | 17.8 | 8.7 | 4.0 | 10.4 | 8.4 |\n| FCNMSPMsk | 7.1 | 4.6 | 5.3 | 10.1 | 7.4 | 4.2 | 9.4 | 6.9 |\n| FCNMSPMM | 7.6 | 4.8 | 5.8 | 17.7 | 9.2 | 3.9 | 10.0 | 8.4 |\n| FCNMSPMMMsk | 6.7 | 4.7 | 5.3 | 11.6 | 7.9 | 4.3 | 9.2 | 7.1 |",1]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mean |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 6.7 | 5.4 | 6.0 | 12.0 | 8.4 | 4.4 | 9.7 | 7.5 |","|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mAP |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 96.5 | 94.9 | 99.5 | 51.4 | 81.4 | 93.2 | 93.7 | 87.2 |\n| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |\n| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |\n| FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |\n| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |\n| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |\n| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |\n| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 |",0]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mean |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 6.7 | 5.4 | 6.0 | 12.0 | 8.4 | 4.4 | 9.7 | 7.5 |\n| FCNESPMsk | 6.7 | 4.6 | 4.7 | 11.3 | 6.7 | 4.7 | 9.1 | 6.8 |\n| FCNESPMM | 6.8 | 5.0 | 5.5 | 11.0 | 8.3 | 4.5 | 9.1 | 7.1 |\n| FCNESPMMMsk | 6.9 | 5.3 | 5.7 | 9.6 | 6.9 | 4.6 | 9.1 | 6.9 |\n| FCNMSP | 7.4 | 4.4 | 5.9 | 17.8 | 8.7 | 4.0 | 10.4 | 8.4 |\n| FCNMSPMsk | 7.1 | 4.6 | 5.3 | 10.1 | 7.4 | 4.2 | 9.4 | 6.9 |","| FCNMSPMM | 7.6 | 4.8 | 5.8 | 17.7 | 9.2 | 3.9 | 10.0 | 8.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNMSPMMMsk | 6.7 | 4.7 | 5.3 | 11.6 | 7.9 | 4.3 | 9.2 | 7.1 |",1]
["|  | Grasper | Bipolar | Hook | Scissors | Clipper | Irrigator | Spec.bag | mean |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESP | 6.7 | 5.4 | 6.0 | 12.0 | 8.4 | 4.4 | 9.7 | 7.5 |\n| FCNESPMsk | 6.7 | 4.6 | 4.7 | 11.3 | 6.7 | 4.7 | 9.1 | 6.8 |\n| FCNESPMM | 6.8 | 5.0 | 5.5 | 11.0 | 8.3 | 4.5 | 9.1 | 7.1 |\n| FCNESPMMMsk | 6.9 | 5.3 | 5.7 | 9.6 | 6.9 | 4.6 | 9.1 | 6.9 |\n| FCNMSP | 7.4 | 4.4 | 5.9 | 17.8 | 8.7 | 4.0 | 10.4 | 8.4 |\n| FCNMSPMsk | 7.1 | 4.6 | 5.3 | 10.1 | 7.4 | 4.2 | 9.4 | 6.9 |","| FCNESPMsk | 96.7 | 95.5 | 99.6 | 50.0 | 82.3 | 94.3 | 93.5 | 87.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCNESPMM | 96.6 | 95.0 | 99.6 | 50.2 | 82.8 | 94.0 | 93.5 | 87.4 |\n| FCNESPMMMsk | 96.7 | 94.8 | 99.5 | 44.2 | 81.9 | 92.9 | 93.2 | 86.1 |\n| FCNMSP | 96.6 | 93.9 | 99.5 | 49.6 | 81.6 | 92.1 | 92.4 | 86.5 |\n| FCNMSPMsk | 96.7 | 94.1 | 99.5 | 49.4 | 83.2 | 92.7 | 93.4 | 87.0 |\n| FCNMSPMM | 96.7 | 93.8 | 99.5 | 50.4 | 81.8 | 91.5 | 92.7 | 86.6 |\n| FCNMSPMMMsk | 96.8 | 94.2 | 99.6 | 49.8 | 83.0 | 93.3 | 94.0 | 87.2 |",0]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.853 | 0.857 | 0.853 | 0.848 |\n| Train-set(extended) | 0.860 | 0.871 | 0.860 | 0.858 |","| Train-set+AL(baseline) | 0.867 | 0.883 | 0.867 | 0.868 |\n| --- | --- | --- | --- | --- |\n| Train-set+AL(extended) | 0.884 | 0.899 | 0.885 | 0.886 |",1]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.853 | 0.857 | 0.853 | 0.848 |\n| Train-set(extended) | 0.860 | 0.871 | 0.860 | 0.858 |","| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.885 | 0.888 | 0.885 | 0.879 |\n| Train-set(extended) | 0.889 | 0.904 | 0.889 | 0.889 |\n| Train-set+AL(baseline) | 0.890 | 0.896 | 0.890 | 0.885 |\n| Train-set+AL(extended) | 0.896 | 0.914 | 0.896 | 0.897 |",0]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.853 | 0.857 | 0.853 | 0.848 |","| Train-set(extended) | 0.860 | 0.871 | 0.860 | 0.858 |\n| --- | --- | --- | --- | --- |\n| Train-set+AL(baseline) | 0.867 | 0.883 | 0.867 | 0.868 |\n| Train-set+AL(extended) | 0.884 | 0.899 | 0.885 | 0.886 |",1]
["| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set(baseline) | 0.853 | 0.857 | 0.853 | 0.848 |","| Train-set+AL(baseline) | 0.890 | 0.896 | 0.890 | 0.885 |\n| --- | --- | --- | --- | --- |\n| Train-set+AL(extended) | 0.896 | 0.914 | 0.896 | 0.897 |",0]
["| Work | Network | Clock | Speedup | Baseline |\n| --- | --- | --- | --- | --- |\n| Ly&Chow | 256×256 | 100MHz | 32× | 2.8GHzP4 |\n| Kimet.al | 256×256 | 200MHz | 25× | 2.4GHzCore2 |","| DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |\n| --- | --- | --- | --- | --- |\n| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |\n| DLAU | 256×256 | 200MHz | 36.1× | 2.3GHzCore2 |",1]
["| Work | Network | Clock | Speedup | Baseline |\n| --- | --- | --- | --- | --- |\n| Ly&Chow | 256×256 | 100MHz | 32× | 2.8GHzP4 |\n| Kimet.al | 256×256 | 200MHz | 25× | 2.4GHzCore2 |","| IGTsite | WorkerCPU | CPUSpeed | OS |\n| --- | --- | --- | --- |\n| Caltech | 40 | 0.8GHz | RedHat6.X |\n| Caltech | 40 | 2.4GHz | RedHat7.X |\n| Fermilab | 80 | 0.75GHz | RedHat6.X |\n| UniversityofFlorida | 80 | 1GHz | RedHat6.X |\n| UCSanDiego | 40 | 0.8GHz | RedHat6.X |\n| UCSanDiego | 40 | 2.4GHz | RedHat7.X |\n| CERN | 72 | 2.4GHz | RedHat7.X |\n| UWMadison | 0 | N/A | ProvidedimportantSWsupport |",0]
["| Work | Network | Clock | Speedup | Baseline |\n| --- | --- | --- | --- | --- |\n| Ly&Chow | 256×256 | 100MHz | 32× | 2.8GHzP4 |","| Kimet.al | 256×256 | 200MHz | 25× | 2.4GHzCore2 |\n| --- | --- | --- | --- | --- |\n| DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |\n| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |\n| DLAU | 256×256 | 200MHz | 36.1× | 2.3GHzCore2 |",1]
["| Work | Network | Clock | Speedup | Baseline |\n| --- | --- | --- | --- | --- |\n| Ly&Chow | 256×256 | 100MHz | 32× | 2.8GHzP4 |","| Fermilab | 80 | 0.75GHz | RedHat6.X |\n| --- | --- | --- | --- |\n| UniversityofFlorida | 80 | 1GHz | RedHat6.X |\n| UCSanDiego | 40 | 0.8GHz | RedHat6.X |\n| UCSanDiego | 40 | 2.4GHz | RedHat7.X |\n| CERN | 72 | 2.4GHz | RedHat7.X |\n| UWMadison | 0 | N/A | ProvidedimportantSWsupport |",0]
["| Experimentationnames | Evaluationbackgroundtypes |\n| --- | --- |\n| E1 | Cleanbackground |","| E2 | Wind |\n| --- | --- |\n| E3 | Rain |\n| E4 | Marinetraﬃc |\n| E5 | Songchorus |\n| E6 | Wind+Rain+Marinetraﬃc+Songchorus |",1]
["| Experimentationnames | Evaluationbackgroundtypes |\n| --- | --- |\n| E1 | Cleanbackground |","| Method | Rep. | Images | Dataset | DI | Time |\n| --- | --- | --- | --- | --- | --- |\n| Proposed | yes | 158 | DDSM-BCRP | 0.87 | 0.8s |\n| Belleretal. | yes | 158 | DDSM-BCRP | 0.70 | ?? |\n| Balletal. | no | 60 | DDSM | 0.85 | ? |\n| Haoetal. | no | 1095 | DDSM | 0.85 | 5.1s |\n| Rahmatietal. | no | 100 | DDSM | 0.93 | ? |\n| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |\n| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s |\n| Proposed | yes | 116 | INbreast | 0.88 | 0.8s |\n| Cardosoetal. | yes | 116 | INbreast | 0.88 | ? |",0]
["| Experimentationnames | Evaluationbackgroundtypes |\n| --- | --- |\n| E1 | Cleanbackground |\n| E2 | Wind |","| E3 | Rain |\n| --- | --- |\n| E4 | Marinetraﬃc |\n| E5 | Songchorus |\n| E6 | Wind+Rain+Marinetraﬃc+Songchorus |",1]
["| Experimentationnames | Evaluationbackgroundtypes |\n| --- | --- |\n| E1 | Cleanbackground |\n| E2 | Wind |","| Rahmatietal. | no | 100 | DDSM | 0.93 | ? |\n| --- | --- | --- | --- | --- | --- |\n| Songetal. | no | 337 | DDSM | 0.83 | 0.96s |\n| Yuanetal. | no | 483 | DDSM | 0.78 | 4.7s |\n| Proposed | yes | 116 | INbreast | 0.88 | 0.8s |\n| Cardosoetal. | yes | 116 | INbreast | 0.88 | ? |",0]
["|  | Xeon | i7 | Sparc |\n| --- | --- | --- | --- |\n| CB-CAS | WAITINGTIME=0.13ms | WAITINGTIME=0.8ms | WAITINGTIME=0.2ms |\n| EXP-CAS | EXPTHRESHOLD=2<br>c=8<br>m=24 | EXPTHRESHOLD=2<br>c=9<br>m=27 | EXPTHRESHOLD=1<br>c=1<br>m=15 |\n| MCS-CAS | CONTENTIONTHRESHOLD=8<br>NUMOPS=10,000<br>MAXWAIT=0.9ms | CONTENTIONTHRESHOLD=8<br>NUMOPS=10,000<br>MAXWAIT=7.5ms | CONTENTIONTHRESHOLD=14<br>NUMOPS=10<br>MAXWAIT=1ms |","| AB-CAS | CONTENTIONTHRESHOLD=2<br>NUMOPS=10,000<br>MAXWAIT=0.9ms | CONTENTIONTHRESHOLD=2<br>NUMOPS=100,000<br>MAXWAIT=7.5ms | CONTENTIONTHRESHOLD=14<br>NUMOPS=100<br>MAXWAIT=1ms |\n| --- | --- | --- | --- |\n| TS-CAS | CONC=1<br>SLICE=20 | CONC=1<br>SLICE=25 | CONC=10<br>SLICE=6 |",1]
["|  | Xeon | i7 | Sparc |\n| --- | --- | --- | --- |\n| CB-CAS | WAITINGTIME=0.13ms | WAITINGTIME=0.8ms | WAITINGTIME=0.2ms |\n| EXP-CAS | EXPTHRESHOLD=2<br>c=8<br>m=24 | EXPTHRESHOLD=2<br>c=9<br>m=27 | EXPTHRESHOLD=1<br>c=1<br>m=15 |\n| MCS-CAS | CONTENTIONTHRESHOLD=8<br>NUMOPS=10,000<br>MAXWAIT=0.9ms | CONTENTIONTHRESHOLD=8<br>NUMOPS=10,000<br>MAXWAIT=7.5ms | CONTENTIONTHRESHOLD=14<br>NUMOPS=10<br>MAXWAIT=1ms |","|  | 12cores | 60cores | 144cores | 300core | 600cores | 1200cores |\n| --- | --- | --- | --- | --- | --- | --- |\n| mincores=12<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |\n| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |  |  |  |  |  |  |",0]
["|  | Xeon | i7 | Sparc |\n| --- | --- | --- | --- |\n| CB-CAS | WAITINGTIME=0.13ms | WAITINGTIME=0.8ms | WAITINGTIME=0.2ms |","| EXP-CAS | EXPTHRESHOLD=2<br>c=8<br>m=24 | EXPTHRESHOLD=2<br>c=9<br>m=27 | EXPTHRESHOLD=1<br>c=1<br>m=15 |\n| --- | --- | --- | --- |\n| MCS-CAS | CONTENTIONTHRESHOLD=8<br>NUMOPS=10,000<br>MAXWAIT=0.9ms | CONTENTIONTHRESHOLD=8<br>NUMOPS=10,000<br>MAXWAIT=7.5ms | CONTENTIONTHRESHOLD=14<br>NUMOPS=10<br>MAXWAIT=1ms |\n| AB-CAS | CONTENTIONTHRESHOLD=2<br>NUMOPS=10,000<br>MAXWAIT=0.9ms | CONTENTIONTHRESHOLD=2<br>NUMOPS=100,000<br>MAXWAIT=7.5ms | CONTENTIONTHRESHOLD=14<br>NUMOPS=100<br>MAXWAIT=1ms |\n| TS-CAS | CONC=1<br>SLICE=20 | CONC=1<br>SLICE=25 | CONC=10<br>SLICE=6 |",1]
["|  | Xeon | i7 | Sparc |\n| --- | --- | --- | --- |\n| CB-CAS | WAITINGTIME=0.13ms | WAITINGTIME=0.8ms | WAITINGTIME=0.2ms |","| mincores=60<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| --- |\n| mincores=144<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |\n| mincores=300<br>RUNTIME<br>TERMINATION-TIME<br>TERMINATIONSPEEDUP<br>SEARCH-OVERHEAD<br>LOAD-BALANCE<br>F<OPT-RELATIVE<br>RATIO-F<OPT<br>RATIO-F=OPT<br>RATIO-F>OPT<br>REOPEN-RATIO |",0]
["| XOR<br>Gates | Percentageoffault-toleranceagainst |  |  |  |\n| --- | --- | --- | --- | --- |\n| omission | omission | deposition | &misalignment |  |\n|  | 30.77 | 0.0 | 94.89 | 47.45 |\n|  | 17.14 | 0.0 | 77.0 | 43.90 |\n|  | 11.43 | 0.0 | 91.3 | 41.67 |","|  | 20.0 | 3.70 | 67.54 | 30.58 |\n| --- | --- | --- | --- | --- |\n|  | 10.34 | 0.0 | 85.71 | 27.78 |\n|  | 0.0 | 0.0 | 73.68 | 14.52 |\n|  | 26.58 | 12.86 | 97.20 | 30.89 |\n| Proposed | 92.31 | 58.90 | 96.40 | 91.67 |",1]
["| XOR<br>Gates | Percentageoffault-toleranceagainst |  |  |  |\n| --- | --- | --- | --- | --- |\n| omission | omission | deposition | &misalignment |  |\n|  | 30.77 | 0.0 | 94.89 | 47.45 |\n|  | 17.14 | 0.0 | 77.0 | 43.90 |\n|  | 11.43 | 0.0 | 91.3 | 41.67 |","| Instance | nb.noeuds | nb.noeudsB.S. | temps(s) | temps(s)B.S. |\n| --- | --- | --- | --- | --- |\n| ash219 | 137 | 111 | 1.187 | 0.18 |\n| dwt72 | 26 | 59 | 0.500 | 0.07 |\n| can62 | 57 | 119 | 0.500 | 0.15 |\n| dwt66 | 8 | 31 | 0.312 | 0.06 |\n| bcspwr02 | 49 | 51 | 0.484 | 0.06 |\n| dwt59 | 137 | 201 | 0.969 | 0.30 |\n| bcspwr01 | 13 | 13 | 0.125 | 0.02 |\n| ash85 | 593 | 971 | 8.610 | 2.87 |\n| dwt87 | 109 | 241 | 3.031 | 0.90 |\n| impcolb | 428 | 380 | 1.532 | 0.59 |\n| west0067 | 195 | 185 | 1.578 | 0.51 |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["| XOR<br>Gates | Percentageoffault-toleranceagainst |  |  |  |\n| --- | --- | --- | --- | --- |\n| omission | omission | deposition | &misalignment |  |\n|  | 30.77 | 0.0 | 94.89 | 47.45 |\n|  | 17.14 | 0.0 | 77.0 | 43.90 |\n|  | 11.43 | 0.0 | 91.3 | 41.67 |\n|  | 20.0 | 3.70 | 67.54 | 30.58 |\n|  | 10.34 | 0.0 | 85.71 | 27.78 |","|  | 0.0 | 0.0 | 73.68 | 14.52 |\n| --- | --- | --- | --- | --- |\n|  | 26.58 | 12.86 | 97.20 | 30.89 |\n| Proposed | 92.31 | 58.90 | 96.40 | 91.67 |",1]
["| XOR<br>Gates | Percentageoffault-toleranceagainst |  |  |  |\n| --- | --- | --- | --- | --- |\n| omission | omission | deposition | &misalignment |  |\n|  | 30.77 | 0.0 | 94.89 | 47.45 |\n|  | 17.14 | 0.0 | 77.0 | 43.90 |\n|  | 11.43 | 0.0 | 91.3 | 41.67 |\n|  | 20.0 | 3.70 | 67.54 | 30.58 |\n|  | 10.34 | 0.0 | 85.71 | 27.78 |","| west0067 | 195 | 185 | 1.578 | 0.51 |\n| --- | --- | --- | --- | --- |\n| will57 | 55 | 17 | 0.531 | 0.05 |\n| can96 | 7787 | 259231 | 154.921 | 1131.60 |\n| steam3 | 108 | 313 | 1.828 | 0.81 |\n| curtis54 | 77 | 167 | 0.625 | 0.20 |\n| can73 | 1138 | 6997 | 8.266 | 21.82 |\n| bfw62a | 7 | 11 | 0.579 | 0.05 |\n| ibm32 | 69 | 72 | 0.313 | 0.07 |\n| pores1 | 48 | 7 | 0.204 | 0.09 |\n| can61 | 90 | 5 | 2.109 | 0.82 |\n| bcsstk01 | 0 | 39 | 0.063 | 1.63 |\n| can24 | 0 | 17 | 0.000 | 0.05 |\n| ﬁdapm05 | 44 | 5 | 0.422 | 0.10 |\n| ﬁdap005 | 28 | 5 | 0.109 | 0.04 |\n| moyenne | 467 | 11219 | 7.867 | 48.46 |",0]
["|  | defectcorrection(k=3) | higherorderreference |  |  |\n| --- | --- | --- | --- | --- |\n| nref | ηrel | FT/mτ | ηrel | FT/mτ |\n| 10 | 0.1974 | -244.878 | 0.0856 | -246.866 |","| 20 | 0.0581 | -246.273 | 0.0165 | -246.689 |\n| --- | --- | --- | --- | --- |\n| 30 | 0.0273 | -246.806 | <0.0001 | -246.813 |",1]
["|  | defectcorrection(k=3) | higherorderreference |  |  |\n| --- | --- | --- | --- | --- |\n| nref | ηrel | FT/mτ | ηrel | FT/mτ |\n| 10 | 0.1974 | -244.878 | 0.0856 | -246.866 |","| QuantitativeMeasures | PSNR | SAM | ERGAS |\n| --- | --- | --- | --- |\n| Bicubic | 33.0236 | 0.1248 | 126.0507 |\n| NRAM | 33.1197 | 0.1297 | 124.3686 |\n| SparseRepresentation | 35.7409 | 0.1651 | 117.4637 |\n| NuclearNormPenalty | 36.9567 | 0.0843 | 95.0166 |\n| MCPPenalty | 37.8732 | 0.0720 | 88.5562 |",0]
["|  | defectcorrection(k=3) | higherorderreference |  |  |\n| --- | --- | --- | --- | --- |\n| nref | ηrel | FT/mτ | ηrel | FT/mτ |","| 10 | 0.1974 | -244.878 | 0.0856 | -246.866 |\n| --- | --- | --- | --- | --- |\n| 20 | 0.0581 | -246.273 | 0.0165 | -246.689 |\n| 30 | 0.0273 | -246.806 | <0.0001 | -246.813 |",1]
["|  | defectcorrection(k=3) | higherorderreference |  |  |\n| --- | --- | --- | --- | --- |\n| nref | ηrel | FT/mτ | ηrel | FT/mτ |","| NuclearNormPenalty | 36.9567 | 0.0843 | 95.0166 |\n| --- | --- | --- | --- |\n| MCPPenalty | 37.8732 | 0.0720 | 88.5562 |",0]
["| Method | #dim. | accu. | time(s) |\n| --- | --- | --- | --- |\n| Alpha-investing | 979 | 43.31 | 3228.82 |","| OSFS | 50 | 24.07 | 45625.17 |\n| --- | --- | --- | --- |\n| Grafting | 4945 | 51.00 | 4562.88 |\n| OGFS-Intra | 5111 | 51.22 | 3.53 |\n| OGFS-Inter | 1991 | 49.54 | 142.98 |\n| OGFS | 1990 | 49.58 | 142.09 |\n| MI | 2723 | 49.43 | 8.62 |\n| LARS | 2723 | 47.24 | 121.18 |\n| GBFS | 1694 | 48.54 | 281.17 |\n| Baseline | 5120 | 54.40 | - |",1]
["| Method | #dim. | accu. | time(s) |\n| --- | --- | --- | --- |\n| Alpha-investing | 979 | 43.31 | 3228.82 |","| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| Method | #dim. | accu. | time(s) |\n| --- | --- | --- | --- |\n| Alpha-investing | 979 | 43.31 | 3228.82 |","| OSFS | 50 | 24.07 | 45625.17 |\n| --- | --- | --- | --- |\n| Grafting | 4945 | 51.00 | 4562.88 |\n| OGFS-Intra | 5111 | 51.22 | 3.53 |\n| OGFS-Inter | 1991 | 49.54 | 142.98 |\n| OGFS | 1990 | 49.58 | 142.09 |\n| MI | 2723 | 49.43 | 8.62 |\n| LARS | 2723 | 47.24 | 121.18 |\n| GBFS | 1694 | 48.54 | 281.17 |\n| Baseline | 5120 | 54.40 | - |",1]
["| Method | #dim. | accu. | time(s) |\n| --- | --- | --- | --- |\n| Alpha-investing | 979 | 43.31 | 3228.82 |","| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| --- | --- | --- | --- | --- |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| l | pl | tl | pk+tk=kl1l2l+2 |\n| --- | --- | --- | --- |\n| 1 | 1 | −4 | 1×1019−4×239=63 |\n| 2 | −3 | 13 | −3×1019+13×239=50 |","| 3 | 4 | −17 | 4×1019−17×239=13 |\n| --- | --- | --- | --- |\n| 4 | −15 | 64 | −15×1019+64×239=11 |\n| 5 | 19 | −81 | 19×1019−81×239=2 |\n| 6 | −110 | 469 | −110×1019+469×239=1 |",1]
["| l | pl | tl | pk+tk=kl1l2l+2 |\n| --- | --- | --- | --- |\n| 1 | 1 | −4 | 1×1019−4×239=63 |\n| 2 | −3 | 13 | −3×1019+13×239=50 |","|  | m≡0(mod3) | m≡1(mod3) | m≡2(mod3) |\n| --- | --- | --- | --- |\n| 36(0,0) | p-17-20A | p-17-8A+6B | p-17-8A-6B |\n| 36(0,1) | p-5+4A+18B | p-5+4A+12B | p-5+4A+6B |\n| 36(0,2) | p-5+4A+6B | p-5+4A-6B | p-5-8A |\n| 36(0,3) | p-5+4A | p-5+4A-6B | p-5+4A+6B |\n| 36(0,4) | p-5+4A-6B | p-5-8A | p-5+4A+6B |\n| 36(0,5) | p-5+4A-18B | p-5+4A-6B | p-5+4A-12B |\n| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |\n| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |\n| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |\n| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B |",0]
["| l | pl | tl | pk+tk=kl1l2l+2 |\n| --- | --- | --- | --- |\n| 1 | 1 | −4 | 1×1019−4×239=63 |\n| 2 | −3 | 13 | −3×1019+13×239=50 |","| 3 | 4 | −17 | 4×1019−17×239=13 |\n| --- | --- | --- | --- |\n| 4 | −15 | 64 | −15×1019+64×239=11 |\n| 5 | 19 | −81 | 19×1019−81×239=2 |\n| 6 | −110 | 469 | −110×1019+469×239=1 |",1]
["| l | pl | tl | pk+tk=kl1l2l+2 |\n| --- | --- | --- | --- |\n| 1 | 1 | −4 | 1×1019−4×239=63 |\n| 2 | −3 | 13 | −3×1019+13×239=50 |","| 36(1,2) | p+1-2A | p+1-2A-6B | p+1-2A+6B |\n| --- | --- | --- | --- |\n| 36(1,3) | p+1-2A | p+1-2A-6B | p+1-2A-12B |\n| 36(1,4) | p+1-2A | p+1-2A+12B | p+1-2A+6B |\n| 36(2,4) | p+1-2A | p+1+10A+6B | p+1+10A-6B |",0]
["| Featurename |\n| --- |\n| Likelihoodmodelprobability |\n| unigramprobability |\n| previousbigramprobability |\n| nextbigramprobability |\n| trigramprobability |\n| languagemodelproduct |\n| collocationleft |\n| collocationright |\n| collocationmid |\n| collocationproduct |\n| cooccurrencedistance1 |\n| cooccurrencedistance2 |\n| cooccurrencedistance3 |\n| previousgender |\n| previousnumber |","| nextgender |\n| --- |\n| nextnumber |",1]
["| Featurename |\n| --- |\n| Likelihoodmodelprobability |\n| unigramprobability |\n| previousbigramprobability |\n| nextbigramprobability |\n| trigramprobability |\n| languagemodelproduct |\n| collocationleft |\n| collocationright |\n| collocationmid |\n| collocationproduct |\n| cooccurrencedistance1 |\n| cooccurrencedistance2 |\n| cooccurrencedistance3 |\n| previousgender |\n| previousnumber |","| Featurename |\n| --- |\n| beforepreviousword |\n| beforepreviouswordPOStag |\n| previousword |\n| previouswordPOStag |\n| nextword |\n| nextwordPOStag |\n| nextwordpregloss |\n| afternextword |\n| afternextPOStag |",0]
["| Featurename |\n| --- |\n| Likelihoodmodelprobability |\n| unigramprobability |\n| previousbigramprobability |\n| nextbigramprobability |","| trigramprobability |\n| --- |\n| languagemodelproduct |\n| collocationleft |\n| collocationright |\n| collocationmid |\n| collocationproduct |\n| cooccurrencedistance1 |\n| cooccurrencedistance2 |\n| cooccurrencedistance3 |\n| previousgender |\n| previousnumber |\n| nextgender |\n| nextnumber |",1]
["| Featurename |\n| --- |\n| Likelihoodmodelprobability |\n| unigramprobability |\n| previousbigramprobability |\n| nextbigramprobability |","| previousword |\n| --- |\n| previouswordPOStag |\n| nextword |\n| nextwordPOStag |\n| nextwordpregloss |\n| afternextword |\n| afternextPOStag |",0]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |\n| HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) |","| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |\n| --- | --- | --- | --- | --- |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |\n| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",1]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |\n| HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) |","| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0257,0.0486) | (0.0133,0.0266) | (0.0067,0.0141) | (0.0034,0.0074) |\n| HF | (0.0275,0.0538) | (0.0142,0.0305) | (0.0070,0.0154) | (0.0035,0.0079) |\n| BD | (0.0273,0.0524) | (0.0137,0.0280) | (0.0069,0.0153) | (0.0035,0.0081) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0650,0.2000) | (0.0326,0.1088) | (0.0163,0.0490) | (0.0081,0.0259) |\n| HF | (0.0883,0.2238) | (0.0418,0.1405) | (0.0203,0.1386) | (0.0100,0.1379) |\n| BD | (0.1333,0.2028) | (0.0781,0.1278) | (0.0445,0.0690) | (0.0277,0.0344) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 19.0 | 77.8 | 322 | 1821 |\n| timing(sec) |  |  |  |  |",0]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |","| HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) |\n| --- | --- | --- | --- | --- |\n| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |\n| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",1]
["| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |","| (d,d)2∞ |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |\n| BD | 19.0 | 77.8 | 322 | 1821 |\n| timing(sec) |  |  |  |  |",0]
["| topics | good | good | good | good | good |\n| --- | --- | --- | --- | --- | --- |\n| 0(restaurant) | restaurant | bakery | diningtable | barbershop | bookshop |","| 1(foodinbowls) | hotpot | soupbowl | woodenspoon | ladle | mortar |\n| --- | --- | --- | --- | --- | --- |\n| 2(dessert) | plate | icecream | chocolatesauce | triﬂe | tray |\n| 3(meals) | plate | guacamole | burrito | hotdog | carbonara |\n| 4(drinks) | winebottle | beerglass | goblet | cocktailshaker | beerbottle |",1]
["| topics | good | good | good | good | good |\n| --- | --- | --- | --- | --- | --- |\n| 0(restaurant) | restaurant | bakery | diningtable | barbershop | bookshop |","| reference | quantity |\n| --- | --- |\n| T-shirt | 5 |\n| Jeans | 10 |\n| Soda | 2 |\n| Friedpotatoes | 1 |\n| Water | 12 |",0]
["| topics | good | good | good | good | good |\n| --- | --- | --- | --- | --- | --- |\n| 0(restaurant) | restaurant | bakery | diningtable | barbershop | bookshop |","| 1(foodinbowls) | hotpot | soupbowl | woodenspoon | ladle | mortar |\n| --- | --- | --- | --- | --- | --- |\n| 2(dessert) | plate | icecream | chocolatesauce | triﬂe | tray |\n| 3(meals) | plate | guacamole | burrito | hotdog | carbonara |\n| 4(drinks) | winebottle | beerglass | goblet | cocktailshaker | beerbottle |",1]
["| topics | good | good | good | good | good |\n| --- | --- | --- | --- | --- | --- |\n| 0(restaurant) | restaurant | bakery | diningtable | barbershop | bookshop |","| Soda | 2 |\n| --- | --- |\n| Friedpotatoes | 1 |\n| Water | 12 |",0]
["| Method | LPBA40 | OASIS | Fetal |\n| --- | --- | --- | --- |\n| Auto-U-net | 10.03 | 22.85 | 14.11 |\n| U-net | 4.57 | 11.36 | 6.87 |\n| Auto-2.5D-CNN | 794.42 | 641.26 | 501.73 |\n| 2.5D-CNN | 396.23 | 320.12 | 244.9 |\n| PCNN | 36.51 | 40.99 | - |\n| BET | 2.04 | 1.96 | 1.62 |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |","| Robex | 52.10 | 63.25 | - |\n| --- | --- | --- | --- |\n| HWA | 18.73 | 13.42 | - |",1]
["| Method | LPBA40 | OASIS | Fetal |\n| --- | --- | --- | --- |\n| Auto-U-net | 10.03 | 22.85 | 14.11 |\n| U-net | 4.57 | 11.36 | 6.87 |\n| Auto-2.5D-CNN | 794.42 | 641.26 | 501.73 |\n| 2.5D-CNN | 396.23 | 320.12 | 244.9 |\n| PCNN | 36.51 | 40.99 | - |\n| BET | 2.04 | 1.96 | 1.62 |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |","| Method | Dice | Sensitivity | Speciﬁcity |\n| --- | --- | --- | --- |\n| Auto-U-net | 93.80(±0.02) | 94.64(±0.04) | 98.65(±0.01) |\n| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |\n| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |\n| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |\n| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |\n| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) |",0]
["| Method | LPBA40 | OASIS | Fetal |\n| --- | --- | --- | --- |\n| Auto-U-net | 10.03 | 22.85 | 14.11 |\n| U-net | 4.57 | 11.36 | 6.87 |","| Auto-2.5D-CNN | 794.42 | 641.26 | 501.73 |\n| --- | --- | --- | --- |\n| 2.5D-CNN | 396.23 | 320.12 | 244.9 |\n| PCNN | 36.51 | 40.99 | - |\n| BET | 2.04 | 1.96 | 1.62 |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |\n| Robex | 52.10 | 63.25 | - |\n| HWA | 18.73 | 13.42 | - |",1]
["| Method | LPBA40 | OASIS | Fetal |\n| --- | --- | --- | --- |\n| Auto-U-net | 10.03 | 22.85 | 14.11 |\n| U-net | 4.57 | 11.36 | 6.87 |","| U-net | 92.21(±0.03) | 96.46(±0.03) | 97.57(±0.01) |\n| --- | --- | --- | --- |\n| Auto-2.5D-CNN | 95.97(±0.02) | 94.63(±0.02) | 99.53(±0.004) |\n| 2.5D-CNN | 94.01(±0.01) | 94.20(±0.03) | 98.88(±0.008) |\n| BET | 83.68(±0.07) | 73.00(±0.1) | 99.91(±0.001) |\n| 3dSkullStrip | 80.57(±0.12) | 69.19(±0.16) | 99.97(±0.001) |",0]
["| AppName | min | ave | max |\n| --- | --- | --- | --- |\n| namd2 | -7<br>1.61x10 | -5<br>4.45x10 | -3<br>1.01x10 |\n| lmpstampede | 1.36x10 | 6.60x10 | 9.53x10 |","| vaspncl | 1.43x10 | 6.56x10 | 2.86x10 |\n| --- | --- | --- | --- |\n| cosmomc | 2.34x10 | 5.61x10 | 4.84x10 |\n| charmm | 1.42x10 | 9.32x10 | 7.34x10 |\n| nwchem | 1.01x10 | 7.06x10 | 1.80x10 |\n| fvcom | 3.36x10 | 2.17x10 | 2.27x10 |\n| mdrunmpi | 1.66x10 | 8.18x10 | 1.08x10 |\n| siesta | 1.47x10 | 9.81x10 | 5.29x10 |",1]
["| AppName | min | ave | max |\n| --- | --- | --- | --- |\n| namd2 | -7<br>1.61x10 | -5<br>4.45x10 | -3<br>1.01x10 |\n| lmpstampede | 1.36x10 | 6.60x10 | 9.53x10 |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| AppName | min | ave | max |\n| --- | --- | --- | --- |\n| namd2 | -7<br>1.61x10 | -5<br>4.45x10 | -3<br>1.01x10 |","| lmpstampede | 1.36x10 | 6.60x10 | 9.53x10 |\n| --- | --- | --- | --- |\n| vaspncl | 1.43x10 | 6.56x10 | 2.86x10 |\n| cosmomc | 2.34x10 | 5.61x10 | 4.84x10 |\n| charmm | 1.42x10 | 9.32x10 | 7.34x10 |\n| nwchem | 1.01x10 | 7.06x10 | 1.80x10 |\n| fvcom | 3.36x10 | 2.17x10 | 2.27x10 |\n| mdrunmpi | 1.66x10 | 8.18x10 | 1.08x10 |\n| siesta | 1.47x10 | 9.81x10 | 5.29x10 |",1]
["| AppName | min | ave | max |\n| --- | --- | --- | --- |\n| namd2 | -7<br>1.61x10 | -5<br>4.45x10 | -3<br>1.01x10 |","| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| s. | broadcasts | unicasts | total |\n| --- | --- | --- | --- |\n| S1 | O(m) | O(k.N.(\\|E\\|+\\|V\\|))p | O(m.N+k.N.(\\|E\\|+\\|V\\|))cp |","| S2 | O(\\|V\\|+\\|E\\|) | O(k.N.(\\|E\\|+\\|V\\|))p | O(k.N.N.(\\|E\\|+\\|V\\|))pc |\n| --- | --- | --- | --- |\n| S3 | O(m.(\\|E\\|+\\|V\\|)) | O(m.k.N.(\\|E\\|+\\|V\\|))p | O(m.N.(\\|E\\|+\\|V\\|)+m.k.N.(\\|E\\|+cp<br>\\|V\\|)) |\n| S4 | O(k.N.\\|E\\|+m)p | O(k.N.(\\|E\\|+\\|V\\|))p | O(k.N.(N.\\|E\\|+\\|V\\|)+N.m)pcc |",1]
["| s. | broadcasts | unicasts | total |\n| --- | --- | --- | --- |\n| S1 | O(m) | O(k.N.(\\|E\\|+\\|V\\|))p | O(m.N+k.N.(\\|E\\|+\\|V\\|))cp |","| Constructiontime | Indexsize | Querytime | Reference |\n| --- | --- | --- | --- |\n| O(k\\|E\\|log\\|V\\|) | O(k\\|V\\|) | O(1) | thispaper |\n| 2<br>O(\\|V\\|+kk\\|V\\|) | O(k\\|V\\|) | O(1) |  |\n| O(k\\|E\\|)orO(\\|V\\|\\|E\\|) | O(k\\|V\\|) | 2<br>O(logk) |  |\n| O(k(\\|V\\|+\\|E\\|)) | O(k\\|V\\|) | O(k)orO(\\|V\\|+\\|E\\|) |  |",0]
["| s. | broadcasts | unicasts | total |\n| --- | --- | --- | --- |\n| S1 | O(m) | O(k.N.(\\|E\\|+\\|V\\|))p | O(m.N+k.N.(\\|E\\|+\\|V\\|))cp |","| S2 | O(\\|V\\|+\\|E\\|) | O(k.N.(\\|E\\|+\\|V\\|))p | O(k.N.N.(\\|E\\|+\\|V\\|))pc |\n| --- | --- | --- | --- |\n| S3 | O(m.(\\|E\\|+\\|V\\|)) | O(m.k.N.(\\|E\\|+\\|V\\|))p | O(m.N.(\\|E\\|+\\|V\\|)+m.k.N.(\\|E\\|+cp<br>\\|V\\|)) |\n| S4 | O(k.N.\\|E\\|+m)p | O(k.N.(\\|E\\|+\\|V\\|))p | O(k.N.(N.\\|E\\|+\\|V\\|)+N.m)pcc |",1]
["| s. | broadcasts | unicasts | total |\n| --- | --- | --- | --- |\n| S1 | O(m) | O(k.N.(\\|E\\|+\\|V\\|))p | O(m.N+k.N.(\\|E\\|+\\|V\\|))cp |","| O(k\\|E\\|)orO(\\|V\\|\\|E\\|) | O(k\\|V\\|) | 2<br>O(logk) |  |\n| --- | --- | --- | --- |\n| O(k(\\|V\\|+\\|E\\|)) | O(k\\|V\\|) | O(k)orO(\\|V\\|+\\|E\\|) |  |",0]
["| Activity | #campaigns | #tasks | totalbudget |\n| --- | --- | --- | --- |\n| L | 1,303 | 207,811 | $22,757.32 |\n| P | 1,293 | 116,682 | $26,796.95 |\n| S | 1,229 | 577,444 | $46,802.91 |\n| U | 1,210 | 354,180 | $40,344.71 |\n| C | 733 | 227,756 | $27,926.15 |\n| E | 495 | 318,387 | $23,310.10 |\n| I | 361 | 16,934 | $8,375.01 |\n| H | 357 | 26,305 | $7,547.54 |\n| Z | 352 | 122,974 | $9,681.65 |\n| N | 203 | 26,808 | $3,419.92 |\n| B | 196 | 40,045 | $4,422.94 |\n| W | 147 | 38,756 | $4,307.35 |\n| D | 138 | 50,886 | $6,307.99 |\n| F | 79 | 12,649 | $1,520.29 |\n| V | 68 | 32,832 | $4,026.03 |\n| T | 31 | 2,071 | $409.87 |\n| R | 29 | 5,191 | $2,037.10 |","| O | 24 | 7,219 | $1,240.66 |\n| --- | --- | --- | --- |\n| A | 14 | 519 | $78.90 |\n| M | 12 | 847 | $203.45 |\n| K | 10 | 474 | $292.02 |\n| Q | 3 | 150 | $24.60 |\n| Y | 1 | 1,026 | $61.56 |",1]
["| Activity | #campaigns | #tasks | totalbudget |\n| --- | --- | --- | --- |\n| L | 1,303 | 207,811 | $22,757.32 |\n| P | 1,293 | 116,682 | $26,796.95 |\n| S | 1,229 | 577,444 | $46,802.91 |\n| U | 1,210 | 354,180 | $40,344.71 |\n| C | 733 | 227,756 | $27,926.15 |\n| E | 495 | 318,387 | $23,310.10 |\n| I | 361 | 16,934 | $8,375.01 |\n| H | 357 | 26,305 | $7,547.54 |\n| Z | 352 | 122,974 | $9,681.65 |\n| N | 203 | 26,808 | $3,419.92 |\n| B | 196 | 40,045 | $4,422.94 |\n| W | 147 | 38,756 | $4,307.35 |\n| D | 138 | 50,886 | $6,307.99 |\n| F | 79 | 12,649 | $1,520.29 |\n| V | 68 | 32,832 | $4,026.03 |\n| T | 31 | 2,071 | $409.87 |\n| R | 29 | 5,191 | $2,037.10 |","| Platform | #campaigns | #tasks | #totalbudget |\n| --- | --- | --- | --- |\n| Smartphone | 1102 | 231,892 | $27,702.07 |\n| Google+ | 823 | 57,203 | $18,960.50 |\n| Other | 797 | 349,937 | $31,333.06 |\n| Twitter | 747 | 83,731 | $14,047.21 |\n| Facebook | 666 | 115,967 | $15,657.86 |\n| YouTube | 616 | 248,914 | $29,322.28 |\n| Reddit | 539 | 77,104 | $5,434.15 |\n| Redacted | 501 | 132,401 | $13,397.94 |\n| Google | 330 | 261,923 | $18,672.37 |\n| RDT | 296 | 80,844 | $8,034.94 |\n| MBS | 218 | 38,859 | $5,497.36 |\n| Instagram | 172 | 19,421 | $2,072.35 |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |\n| eBay | 22 | 6,014 | $570.52 |\n| Yahoo | 21 | 45,686 | $2,355.13 |\n| Ali | 9 | 3,945 | $551.91 |\n| Bing | 4 | 675 | $69.00 |\n| Browseradd-on | 3 | 214 | $73.96 |",0]
["| Activity | #campaigns | #tasks | totalbudget |\n| --- | --- | --- | --- |\n| L | 1,303 | 207,811 | $22,757.32 |\n| P | 1,293 | 116,682 | $26,796.95 |\n| S | 1,229 | 577,444 | $46,802.91 |\n| U | 1,210 | 354,180 | $40,344.71 |","| C | 733 | 227,756 | $27,926.15 |\n| --- | --- | --- | --- |\n| E | 495 | 318,387 | $23,310.10 |\n| I | 361 | 16,934 | $8,375.01 |\n| H | 357 | 26,305 | $7,547.54 |\n| Z | 352 | 122,974 | $9,681.65 |\n| N | 203 | 26,808 | $3,419.92 |\n| B | 196 | 40,045 | $4,422.94 |\n| W | 147 | 38,756 | $4,307.35 |\n| D | 138 | 50,886 | $6,307.99 |\n| F | 79 | 12,649 | $1,520.29 |\n| V | 68 | 32,832 | $4,026.03 |\n| T | 31 | 2,071 | $409.87 |\n| R | 29 | 5,191 | $2,037.10 |\n| O | 24 | 7,219 | $1,240.66 |\n| A | 14 | 519 | $78.90 |\n| M | 12 | 847 | $203.45 |\n| K | 10 | 474 | $292.02 |\n| Q | 3 | 150 | $24.60 |\n| Y | 1 | 1,026 | $61.56 |",1]
["| Activity | #campaigns | #tasks | totalbudget |\n| --- | --- | --- | --- |\n| L | 1,303 | 207,811 | $22,757.32 |\n| P | 1,293 | 116,682 | $26,796.95 |\n| S | 1,229 | 577,444 | $46,802.91 |\n| U | 1,210 | 354,180 | $40,344.71 |","| Instagram | 172 | 19,421 | $2,072.35 |\n| --- | --- | --- | --- |\n| Amazon | 156 | 55,760 | $6,934.85 |\n| Mix | 144 | 11,803 | $1,458.55 |\n| Questionsite | 126 | 16,190 | $2,447.59 |\n| Forum | 84 | 7,558 | $964.15 |\n| Gmail | 50 | 10,275 | $2,908.35 |\n| eBay | 22 | 6,014 | $570.52 |\n| Yahoo | 21 | 45,686 | $2,355.13 |\n| Ali | 9 | 3,945 | $551.91 |\n| Bing | 4 | 675 | $69.00 |\n| Browseradd-on | 3 | 214 | $73.96 |",0]
["| Decoder | R0 | Rep | ML | Gen | SPC | R1 | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 4bML | 30 | 0 | 154 | 0 | 0 | 0 | 184 |\n| F-SSCL | 21 | 23 | 0 | 0 | 23 | 24 | 91 |","| 8bFSL | 15 | 0 | 26 | 5 | 11 | 13 | 70 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 16bFSL | 7 | 0 | 14 | 11 | 5 | 9 | 46 |",1]
["| Decoder | R0 | Rep | ML | Gen | SPC | R1 | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 4bML | 30 | 0 | 154 | 0 | 0 | 0 | 184 |\n| F-SSCL | 21 | 23 | 0 | 0 | 23 | 24 | 91 |","| Name | Kernel | Str. | ChI/O | Input |\n| --- | --- | --- | --- | --- |\n| conv1 | 7×7 | 1 | 8/32 | Images/Flow |\n| conv2 | 7×7 | 1 | 32/64 | conv1 |\n| deconv2 | 7×7 | 1 | 64/32 | conv2 |\n| deconv1 | 7×7 | 1 | 32/16 | deconv2 |\n| deconv0 | 7×7 | 1 | 16/2 | deconv1 |",0]
["| Decoder | R0 | Rep | ML | Gen | SPC | R1 | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 4bML | 30 | 0 | 154 | 0 | 0 | 0 | 184 |","| F-SSCL | 21 | 23 | 0 | 0 | 23 | 24 | 91 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 8bFSL | 15 | 0 | 26 | 5 | 11 | 13 | 70 |\n| 16bFSL | 7 | 0 | 14 | 11 | 5 | 9 | 46 |",1]
["| Decoder | R0 | Rep | ML | Gen | SPC | R1 | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 4bML | 30 | 0 | 154 | 0 | 0 | 0 | 184 |","| deconv1 | 7×7 | 1 | 32/16 | deconv2 |\n| --- | --- | --- | --- | --- |\n| deconv0 | 7×7 | 1 | 16/2 | deconv1 |",0]
["| Conﬁg. | p | B1 | T1 | T2 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1<br>1 | 2,...,N | N+1,...,2N |\n| 2 | 0 | ∅ | 2N+1 | 1,...,N−1 | N,...,2N−1 |","| 3 | 0 | 2N+1 | ∅ | N,1,...,N−1 | N+1,...,2N−1 |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 1 | ∅ | ∅ | 2N+1,N,1,...,N−2 | N−1,N+1,...,2N−1 |\n| 5 | 0 | ∅ | ∅ | N−1,2N+1,N,1,...,N−3 | N−2,N+1,...,2N−1 |\n| ... | 0 | ... | ... | ... | ... |\n| N+2 | 0 | ∅ | ∅ | 2,...,N−1,2N+1,N | 1,N+1,...,2N−1 |",1]
["| Conﬁg. | p | B1 | T1 | T2 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1<br>1 | 2,...,N | N+1,...,2N |\n| 2 | 0 | ∅ | 2N+1 | 1,...,N−1 | N,...,2N−1 |","| Conﬁguration | p | T1 | T2 | B1 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1,...,N | ∅ | N+1,...,2N |\n| 2 | 0 | 2N+1 | 2,...,N | ∅ | N+2,...,2N,1 |\n| 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N |\n| 4 | 1 | ∅ | 3,...,N,1,2N+1 | ∅ | N+2,...,2N,2 |\n| 5 | 0 | ∅ | 1,2N+1,2,...,N−1 | ∅ | N+2,...,2N,N |",0]
["| Conﬁg. | p | B1 | T1 | T2 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1<br>1 | 2,...,N | N+1,...,2N |\n| 2 | 0 | ∅ | 2N+1 | 1,...,N−1 | N,...,2N−1 |\n| 3 | 0 | 2N+1 | ∅ | N,1,...,N−1 | N+1,...,2N−1 |\n| 4 | 1 | ∅ | ∅ | 2N+1,N,1,...,N−2 | N−1,N+1,...,2N−1 |\n| 5 | 0 | ∅ | ∅ | N−1,2N+1,N,1,...,N−3 | N−2,N+1,...,2N−1 |","| ... | 0 | ... | ... | ... | ... |\n| --- | --- | --- | --- | --- | --- |\n| N+2 | 0 | ∅ | ∅ | 2,...,N−1,2N+1,N | 1,N+1,...,2N−1 |",1]
["| Conﬁg. | p | B1 | T1 | T2 | B2 |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 0 | ∅ | 1<br>1 | 2,...,N | N+1,...,2N |\n| 2 | 0 | ∅ | 2N+1 | 1,...,N−1 | N,...,2N−1 |\n| 3 | 0 | 2N+1 | ∅ | N,1,...,N−1 | N+1,...,2N−1 |\n| 4 | 1 | ∅ | ∅ | 2N+1,N,1,...,N−2 | N−1,N+1,...,2N−1 |\n| 5 | 0 | ∅ | ∅ | N−1,2N+1,N,1,...,N−3 | N−2,N+1,...,2N−1 |","| 3 | 0 | ∅ | 2,...,N,1 | 2N+1 | N+2,...,2N |\n| --- | --- | --- | --- | --- | --- |\n| 4 | 1 | ∅ | 3,...,N,1,2N+1 | ∅ | N+2,...,2N,2 |\n| 5 | 0 | ∅ | 1,2N+1,2,...,N−1 | ∅ | N+2,...,2N,N |",0]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| S-extract | 81.84 | 82.07 | 67.51 | 69.25 | 78.31 |\n| M-extract | 84.98 | 89.89 | 81.41 | 81.03 | 85.29 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |","| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |\n| --- | --- | --- | --- | --- | --- |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |",1]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| S-extract | 81.84 | 82.07 | 67.51 | 69.25 | 78.31 |\n| M-extract | 84.98 | 89.89 | 81.41 | 81.03 | 85.29 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |","| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| ML-CNN | 81.97 | 79.11 | 63.16 | 62.45 | 76.25 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |\n| G-tasks | 90.10 | 92.29 | 89.80 | 73.52 | 89.18 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |",0]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| S-extract | 81.84 | 82.07 | 67.51 | 69.25 | 78.31 |","| M-extract | 84.98 | 89.89 | 81.41 | 81.03 | 85.29 |\n| --- | --- | --- | --- | --- | --- |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |\n| CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 |\n| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |",1]
["| Method | G1 | G2 | G3 | G4 | Total |\n| --- | --- | --- | --- | --- | --- |\n| S-extract | 81.84 | 82.07 | 67.51 | 69.25 | 78.31 |","| CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 |\n| --- | --- | --- | --- | --- | --- |\n| G-tasks | 90.10 | 92.29 | 89.80 | 73.52 | 89.18 |\n| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 |\n| M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 |\n| MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |",0]
["| 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |","| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",1]
["| 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |","| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |","| 17 | 16 | 17 | 15 | 16 | 17 | 18 | 19 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 21 | 22 | 23 | 24 | 25 | 24 | 25 |\n| 28 | 29 | 28 | 29 | 30 | 31 | 32 | 1 |",1]
["| 1 | 2 | 3 | 4 | 5 | 4 | 5 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 9 | 8 | 9 | 10 | 11 | 12 | 13 | 14 |","| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| VideoID | 81955 |\n| --- | --- |\n| Template | Holding[something]infrontof[something] |\n| Somethings | “ablueplasticcap”,“amen’sshortsleeveshirt” |","| FullCaption | Holdingablueplasticcapinfrontofamen’sshortsleeveshirt |\n| --- | --- |\n| SimpliﬁedSth’s | “cap”,“shirt” |",1]
["| VideoID | 81955 |\n| --- | --- |\n| Template | Holding[something]infrontof[something] |\n| Somethings | “ablueplasticcap”,“amen’sshortsleeveshirt” |","| Conditioning | Mnemonic<br>label | Informationlevel |\n| --- | --- | --- |\n| 0,0,0 | none | SimplePCFG |\n| 2,2,2 | par+sib | Smallamountofstructuralcontext |\n| 5,2,2 | NTstruct | Allstructural(non-lexical)contextfornon-POS |\n| 6,2,2 | NThead | Everythingfornon-POSexpansions |\n| 6,3,2 | POSstruct | MorestructuralinfoforleftmostPOSexpansions |\n| 6,5,2 | attach | AllattachmentinfoforleftmostPOSexpansions |\n| 6,6,4 | all | Everything |",0]
["| VideoID | 81955 |\n| --- | --- |\n| Template | Holding[something]infrontof[something] |","| Somethings | “ablueplasticcap”,“amen’sshortsleeveshirt” |\n| --- | --- |\n| FullCaption | Holdingablueplasticcapinfrontofamen’sshortsleeveshirt |\n| SimpliﬁedSth’s | “cap”,“shirt” |",1]
["| VideoID | 81955 |\n| --- | --- |\n| Template | Holding[something]infrontof[something] |","| 2,2,2 | par+sib | Smallamountofstructuralcontext |\n| --- | --- | --- |\n| 5,2,2 | NTstruct | Allstructural(non-lexical)contextfornon-POS |\n| 6,2,2 | NThead | Everythingfornon-POSexpansions |\n| 6,3,2 | POSstruct | MorestructuralinfoforleftmostPOSexpansions |\n| 6,5,2 | attach | AllattachmentinfoforleftmostPOSexpansions |\n| 6,6,4 | all | Everything |",0]
["|  | JSSC’14 | JSSC’05 | JSSC’03 |  |\n| --- | --- | --- | --- | --- |\n| Process | 65nm | 110nm | 110nm | 130nm<br>(Measured) |\n| Interconnecttype | On-chip | Oﬀ-chip | Oﬀ-chip |  |\n| Synchronizertype | Mesochronous | Plesiochronous | Plesiochronous |  |\n| Controllertype | Digital | Analog | Digital |  |\n| Adaptivecontrol | No | Yes | Yes |  |\n| Clockdomaintransfer | No | No | No |  |\n| Datarate | 3Gb/s | 10Gb/s | 10Gb/s | 1.3Gb/s |","| Powerconsumption | 1.08mW | 220mW | 129mW | 1.4mW |\n| --- | --- | --- | --- | --- |\n| SupplyVoltage | 0.9V | 1.5V | 1.2V | 1.2V |\n| Area(µm×µm) | Notreported | 250×1400 | 1600×2600 | 76×80 |",1]
["|  | JSSC’14 | JSSC’05 | JSSC’03 |  |\n| --- | --- | --- | --- | --- |\n| Process | 65nm | 110nm | 110nm | 130nm<br>(Measured) |\n| Interconnecttype | On-chip | Oﬀ-chip | Oﬀ-chip |  |\n| Synchronizertype | Mesochronous | Plesiochronous | Plesiochronous |  |\n| Controllertype | Digital | Analog | Digital |  |\n| Adaptivecontrol | No | Yes | Yes |  |\n| Clockdomaintransfer | No | No | No |  |\n| Datarate | 3Gb/s | 10Gb/s | 10Gb/s | 1.3Gb/s |","| ItemType | ItemDescription | Qty |\n| --- | --- | --- |\n| Chassis | NEXXUS4080ALDesk-sideChassis | 1 |\n| ComputeShelve | ComputeShelveAL/EN(IncludingPowerSupply) | 4 |\n| Motherboard | IntelS5000ALMotherboard-1333MHzFSB | 4 |\n| Processor | XeonQuad-CoreE54102.3312M1333MHz-80W | 8 |\n| MemoryType1 | 2GBFBDIMMSDDR2667ECC/Reg. | 32 |\n| HardDrive | HDDRaid500GB,7200rpm,16MB,SATAIINCQ | 2 |\n| HardDrive | HDDRaid250GB,7200rpm,16MB,SATAIINCQ | 3 |\n| HeatSink | HighPerformancePassiveHeatSink | 8 |\n| RiserCard | PCI/ExpressRiserCard | 4 |\n| KVM/USB | IntegratedKVM/USBSwitch | 1 |\n| GigabitSwitch | Integrated16PortGigESwitch | 1 |\n| PowerCord | PowerCordUSA/JPN15AmpROHSCompliant | 1 |",0]
["|  | JSSC’14 | JSSC’05 | JSSC’03 |  |\n| --- | --- | --- | --- | --- |\n| Process | 65nm | 110nm | 110nm | 130nm<br>(Measured) |\n| Interconnecttype | On-chip | Oﬀ-chip | Oﬀ-chip |  |\n| Synchronizertype | Mesochronous | Plesiochronous | Plesiochronous |  |\n| Controllertype | Digital | Analog | Digital |  |\n| Adaptivecontrol | No | Yes | Yes |  |\n| Clockdomaintransfer | No | No | No |  |","| Datarate | 3Gb/s | 10Gb/s | 10Gb/s | 1.3Gb/s |\n| --- | --- | --- | --- | --- |\n| Powerconsumption | 1.08mW | 220mW | 129mW | 1.4mW |\n| SupplyVoltage | 0.9V | 1.5V | 1.2V | 1.2V |\n| Area(µm×µm) | Notreported | 250×1400 | 1600×2600 | 76×80 |",1]
["|  | JSSC’14 | JSSC’05 | JSSC’03 |  |\n| --- | --- | --- | --- | --- |\n| Process | 65nm | 110nm | 110nm | 130nm<br>(Measured) |\n| Interconnecttype | On-chip | Oﬀ-chip | Oﬀ-chip |  |\n| Synchronizertype | Mesochronous | Plesiochronous | Plesiochronous |  |\n| Controllertype | Digital | Analog | Digital |  |\n| Adaptivecontrol | No | Yes | Yes |  |\n| Clockdomaintransfer | No | No | No |  |","| ComputeShelve | ComputeShelveAL/EN(IncludingPowerSupply) | 4 |\n| --- | --- | --- |\n| Motherboard | IntelS5000ALMotherboard-1333MHzFSB | 4 |\n| Processor | XeonQuad-CoreE54102.3312M1333MHz-80W | 8 |\n| MemoryType1 | 2GBFBDIMMSDDR2667ECC/Reg. | 32 |\n| HardDrive | HDDRaid500GB,7200rpm,16MB,SATAIINCQ | 2 |\n| HardDrive | HDDRaid250GB,7200rpm,16MB,SATAIINCQ | 3 |\n| HeatSink | HighPerformancePassiveHeatSink | 8 |\n| RiserCard | PCI/ExpressRiserCard | 4 |\n| KVM/USB | IntegratedKVM/USBSwitch | 1 |\n| GigabitSwitch | Integrated16PortGigESwitch | 1 |\n| PowerCord | PowerCordUSA/JPN15AmpROHSCompliant | 1 |",0]
["| ModelsDSTC4MRDASwDA |\n| --- |\n| CNN65.584.673.1 |\n| LSTM66.284.369.6 |\n| Majorityclass25.859.133.7 |\n| SVM57.0-- |","| Graphicalmodel-81.3- |\n| --- |\n| NaiveBayes-82.0- |\n| HMM--71.0 |\n| Memory-basedLearning--72.3 |\n| Interlabeleragreement--84.0 |",1]
["| ModelsDSTC4MRDASwDA |\n| --- |\n| CNN65.584.673.1 |\n| LSTM66.284.369.6 |\n| Majorityclass25.859.133.7 |\n| SVM57.0-- |","| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |\n| MT+LSTM | TranslatedALL | 0.541 |\n| Parameter-sharingLSTM | ALL | 0.542 |\n| Average | – | 0.581 |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["| ModelsDSTC4MRDASwDA |\n| --- |\n| CNN65.584.673.1 |\n| LSTM66.284.369.6 |","| Majorityclass25.859.133.7 |\n| --- |\n| SVM57.0-- |\n| Graphicalmodel-81.3- |\n| NaiveBayes-82.0- |\n| HMM--71.0 |\n| Memory-basedLearning--72.3 |\n| Interlabeleragreement--84.0 |",1]
["| ModelsDSTC4MRDASwDA |\n| --- |\n| CNN65.584.673.1 |\n| LSTM66.284.369.6 |","| Average | – | 0.581 |\n| --- | --- | --- |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",0]
["| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |\n| 0.6 | 1 | 0.92 | 0.75 | 0.88 |","| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| --- | --- | --- | --- | --- |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",1]
["| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |\n| 0.6 | 1 | 0.92 | 0.75 | 0.88 |","| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |\n| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |","| 0.6 | 1 | 0.92 | 0.75 | 0.88 |\n| --- | --- | --- | --- | --- |\n| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",1]
["| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |","| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["| Method | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| DNN | 0.98295 | 0.67847 | 0.80281 |\n| SVM | 0.92500 | 0.69901 | 0.79628 |\n| TABOR | 0.86171 | 0.78803 | 0.82322 |\n| 1DCNNcombinedrecords | 0.95 | 0.656 | 0.766 |\n| 1DCNNcombinedattacks | 0.95 | 0.787 | 0.861 |","| 1DCNNensembledrecords | 0.867 | 0.854 | 0.860 |\n| --- | --- | --- | --- |\n| 1DCNNensembledattacks | 1.0 | 0.853 | 0.920 |",1]
["| Method | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| DNN | 0.98295 | 0.67847 | 0.80281 |\n| SVM | 0.92500 | 0.69901 | 0.79628 |\n| TABOR | 0.86171 | 0.78803 | 0.82322 |\n| 1DCNNcombinedrecords | 0.95 | 0.656 | 0.766 |\n| 1DCNNcombinedattacks | 0.95 | 0.787 | 0.861 |","| Model | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| SVMfact | 100.00 | 40.20 | 57.34 |\n| NNfact | 87.14 | 59.80 | 70.93 |\n| NNfactart | 87.18 | 66.67 | 75.56 |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",0]
["| Method | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| DNN | 0.98295 | 0.67847 | 0.80281 |\n| SVM | 0.92500 | 0.69901 | 0.79628 |\n| TABOR | 0.86171 | 0.78803 | 0.82322 |","| 1DCNNcombinedrecords | 0.95 | 0.656 | 0.766 |\n| --- | --- | --- | --- |\n| 1DCNNcombinedattacks | 0.95 | 0.787 | 0.861 |\n| 1DCNNensembledrecords | 0.867 | 0.854 | 0.860 |\n| 1DCNNensembledattacks | 1.0 | 0.853 | 0.920 |",1]
["| Method | Precision | Recall | F1 |\n| --- | --- | --- | --- |\n| DNN | 0.98295 | 0.67847 | 0.80281 |\n| SVM | 0.92500 | 0.69901 | 0.79628 |\n| TABOR | 0.86171 | 0.78803 | 0.82322 |","| NNfact | 87.14 | 59.80 | 70.93 |\n| --- | --- | --- | --- |\n| NNfactart | 87.18 | 66.67 | 75.56 |\n| NNfactsupvart | 90.00 | 70.59 | 79.12 |",0]
["| TotalNodes | 6 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 15 | PacketgenerationInterval | 1msec |","| Tc | 1.5msec | Queuelength | 100 |\n| --- | --- | --- | --- |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 10sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to3 | PIofnode1 | 21 |\n| Flow2 | Node2to4 | PIofnode2 | 18 |\n| ThroughputNode1 | 306.36kbps | ThroughputNode3 | 136.62kbps |",1]
["| TotalNodes | 6 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 15 | PacketgenerationInterval | 1msec |","| TotalNodes | 8 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 13 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |\n| Td | 2msec | Routing | AODV |\n| Ta | 0.5msec | Simulationtime | 20sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["| TotalNodes | 6 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 15 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |","| Td | 2msec | Routing | AODV |\n| --- | --- | --- | --- |\n| Ta | 0.5msec | Simulationtime | 10sec |\n| Tq | 20msec | Source | CBR |\n| Flow1 | Node1to3 | PIofnode1 | 21 |\n| Flow2 | Node2to4 | PIofnode2 | 18 |\n| ThroughputNode1 | 306.36kbps | ThroughputNode3 | 136.62kbps |",1]
["| TotalNodes | 6 | Packetsize | 2000bytes |\n| --- | --- | --- | --- |\n| DataSlots | 15 | PacketgenerationInterval | 1msec |\n| Tc | 1.5msec | Queuelength | 100 |","| Tq | 20msec | Source | CBR |\n| --- | --- | --- | --- |\n| Flow1 | Node1to2 | Flow3 | Node5to6 |\n| Flow2 | Node3to4 | Flow4 | Node7to8 |\n| Throughputﬂow1 | 89.79kbps | Throughputﬂow3 | 91.21kbps |\n| Throughputﬂow2 | 84.08kbps | Throughputﬂow4 | 89.79kbps |",0]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |\n| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |\n| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |\n| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |\n| blanket | 0 | 0 | 0 | 0 | 0 | 0 |\n| bmx | 1 | 0 | 0 | 0 | 0 | 0 |\n| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |\n| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |\n| book | 2 | 4 | 6 | 3 | 3.2 | 5 |\n| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |\n| car1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| car2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| crossing | 1 | 1 | 1 | 1 | 1 | 1 |\n| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |\n| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |\n| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |\n| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |\n| fish3 | 0 | 0 | 0 | 0 | 0 | 0 |","| fish4 | 0 | 0 | 2 | 0.6 | 0.2 | 0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| girl | 1 | 1 | 1 | 1 | 1 | 1 |\n| glove | 2 | 2 | 2 | 2 | 2 | 2 |\n| godfather | 0 | 0 | 0 | 0 | 0 | 0 |\n| graduate | 0 | 3 | 3.2 | 1.1 | 1.3 | 3 |\n| gymnastics1 | 1.67 | 1 | 2.9 | 2.3 | 5.2 | 5.1 |\n| gymnastics2 | 3 | 2 | 2 | 3 | 2 | 2 |\n| gymnastics3 | 1.53 | 3 | 2.9 | 2 | 3 | 3 |\n| gymnastics4 | 0 | 0 | 0 | 0 | 0 | 0 |\n| hand | 7 | 8 | 7 | 7 | 7 | 6 |\n| handball1 | 0 | 1 | 0 | 0 | 0 | 0 |\n| handball2 | 3.27 | 5 | 3.4 | 3 | 3 | 2.9 |\n| helicopter | 0 | 1 | 1 | 1 | 1 | 1 |\n| iceskater1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| iceskater2 | 0.8 | 2 | 2.2 | 1.4 | 1.2 | 1.3 |\n| leaves | 1 | 3 | 3 | 3 | 3 | 3 |\n| marching | 0 | 0 | 0 | 0 | 0 | 0 |\n| matrix | 1 | 2 | 2 | 2 | 2 | 1 |\n| motocross1 | 0.2 | 3 | 3 | 3 | 3 | 3 |\n| motocross2 | 0 | 1 | 0.8 | 0.3 | 0.9 | 0 |\n| nature | 1.93 | 4 | 4 | 4 | 4 | 4 |\n| octopus | 0 | 0 | 0 | 1 | 1 | 0 |\n| pedestrian1 | 1.87 | 2 | 1.2 | 1 | 1 | 2 |\n| pedestrian2 | 0 | 1 | 1 | 1 | 1 | 1 |\n| rabbit | 3 | 5 | 4 | 4.2 | 3 | 4.1 |\n| racing | 0 | 0 | 0 | 0 | 0 | 0 |\n| road | 0 | 0 | 0 | 0 | 0 | 0 |\n| shaking | 0 | 0 | 1 | 1 | 1 | 0 |\n| sheep | 0 | 0 | 0 | 0 | 0 | 0 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| singer2 | 0 | 1 | 1 | 2 | 1 | 1 |\n| singer3 | 1.93 | 0 | 0 | 1 | 1 | 1 |\n| soccer1 | 2.93 | 3 | 2 | 2 | 1 | 1 |\n| soccer2 | 2 | 5 | 2 | 4 | 4 | 2 |\n| soldier | 1 | 1 | 1 | 1 | 1 | 1 |\n| sphere | 0 | 0 | 0 | 0 | 0 | 0 |\n| tiger | 0 | 0 | 0 | 0 | 0 | 0 |\n| traffic | 0 | 0 | 0 | 0 | 0 | 0.2 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0 |\n| wiper | 0.4 | 0 | 0 | 0 | 0 | 0 |\n| mean | 0.93 | 1.38 | 1.38 | 1.3 | 1.28 | 1.28 |\n|  |  |  |  |  |  |  |",1]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |\n| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |\n| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |\n| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |\n| blanket | 0 | 0 | 0 | 0 | 0 | 0 |\n| bmx | 1 | 0 | 0 | 0 | 0 | 0 |\n| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |\n| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |\n| book | 2 | 4 | 6 | 3 | 3.2 | 5 |\n| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |\n| car1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| car2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| crossing | 1 | 1 | 1 | 1 | 1 | 1 |\n| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |\n| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |\n| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |\n| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |\n| fish3 | 0 | 0 | 0 | 0 | 0 | 0 |","|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0.45 | 0.45 | 0.45 | 0.41 | 0.37 | 0.31 |\n| ball1 | 0.8 | 0.8 | 0.8 | 0.81 | 0.8 | 0.8 |\n| ball2 | 0.44 | 0.31 | 0.38 | 0.3 | 0.47 | 0.45 |\n| basketball | 0.6 | 0.55 | 0.55 | 0.6 | 0.62 | 0.61 |\n| birds1 | 0.52 | 0.53 | 0.52 | 0.5 | 0.53 | 0.53 |\n| birds2 | 0.29 | 0.28 | 0.32 | 0.28 | 0.28 | 0.28 |\n| blanket | 0.58 | 0.61 | 0.61 | 0.64 | 0.62 | 0.61 |\n| bmx | 0.24 | 0.42 | 0.42 | 0.42 | 0.43 | 0.42 |\n| bolt1 | 0.52 | 0.66 | 0.67 | 0.67 | 0.68 | 0.68 |\n| bolt2 | 0.56 | 0.48 | 0.57 | 0.58 | 0.58 | 0.57 |\n| book | 0.41 | 0.39 | 0.38 | 0.39 | 0.37 | 0.46 |\n| butterfly | 0.45 | 0.4 | 0.4 | 0.41 | 0.4 | 0.41 |\n| car1 | 0.74 | 0.74 | 0.75 | 0.76 | 0.75 | 0.74 |\n| car2 | 0.77 | 0.73 | 0.74 | 0.75 | 0.77 | 0.78 |\n| crossing | 0.71 | 0.69 | 0.69 | 0.7 | 0.71 | 0.71 |\n| dinosaur | 0.41 | 0.29 | 0.28 | 0.32 | 0.32 | 0.43 |\n| fernando | 0.38 | 0.35 | 0.32 | 0.4 | 0.41 | 0.42 |\n| fish1 | 0.43 | 0.4 | 0.42 | 0.53 | 0.52 | 0.52 |\n| fish2 | 0.34 | 0.42 | 0.39 | 0.34 | 0.34 | 0.33 |\n| fish3 | 0.6 | 0.61 | 0.61 | 0.59 | 0.58 | 0.58 |\n| fish4 | 0.46 | 0.43 | 0.31 | 0.42 | 0.43 | 0.43 |\n| girl | 0.63 | 0.68 | 0.68 | 0.69 | 0.69 | 0.69 |\n| glove | 0.52 | 0.52 | 0.53 | 0.51 | 0.53 | 0.55 |\n| godfather | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 | 0.48 |\n| graduate | 0.38 | 0.47 | 0.48 | 0.49 | 0.46 | 0.47 |\n| gymnastics1 | 0.37 | 0.38 | 0.36 | 0.37 | 0.39 | 0.39 |\n| gymnastics2 | 0.5 | 0.5 | 0.49 | 0.52 | 0.5 | 0.5 |\n| gymnastics3 | 0.29 | 0.39 | 0.35 | 0.37 | 0.33 | 0.29 |\n| gymnastics4 | 0.5 | 0.44 | 0.43 | 0.42 | 0.43 | 0.44 |\n| hand | 0.43 | 0.4 | 0.38 | 0.42 | 0.41 | 0.44 |\n| handball1 | 0.6 | 0.57 | 0.6 | 0.62 | 0.62 | 0.57 |\n| handball2 | 0.46 | 0.49 | 0.52 | 0.52 | 0.54 | 0.44 |\n| helicopter | 0.38 | 0.51 | 0.51 | 0.49 | 0.47 | 0.47 |\n| iceskater1 | 0.51 | 0.52 | 0.52 | 0.56 | 0.56 | 0.54 |\n| iceskater2 | 0.58 | 0.53 | 0.53 | 0.53 | 0.55 | 0.54 |\n| leaves | 0.39 | 0.13 | 0.13 | 0.3 | 0.3 | 0.29 |\n| marching | 0.74 | 0.75 | 0.75 | 0.74 | 0.74 | 0.75 |\n| matrix | 0.66 | 0.55 | 0.55 | 0.61 | 0.61 | 0.54 |\n| motocross1 | 0.47 | 0.42 | 0.42 | 0.42 | 0.39 | 0.39 |\n| motocross2 | 0.45 | 0.42 | 0.42 | 0.49 | 0.48 | 0.54 |\n| nature | 0.46 | 0.3 | 0.3 | 0.32 | 0.29 | 0.32 |\n| octopus | 0.4 | 0.32 | 0.33 | 0.44 | 0.43 | 0.37 |\n| pedestrian1 | 0.73 | 0.68 | 0.72 | 0.7 | 0.69 | 0.68 |\n| pedestrian2 | 0.3 | 0.45 | 0.49 | 0.38 | 0.37 | 0.34 |\n| rabbit | 0.41 | 0.23 | 0.33 | 0.32 | 0.41 | 0.29 |\n| racing | 0.52 | 0.42 | 0.42 | 0.4 | 0.4 | 0.41 |\n| road | 0.58 | 0.58 | 0.57 | 0.62 | 0.64 | 0.67 |\n| shaking | 0.66 | 0.64 | 0.69 | 0.73 | 0.76 | 0.68 |\n| sheep | 0.49 | 0.5 | 0.5 | 0.5 | 0.52 | 0.53 |\n| singer1 | 0.6 | 0.65 | 0.68 | 0.61 | 0.57 | 0.41 |\n| singer2 | 0.69 | 0.65 | 0.6 | 0.54 | 0.66 | 0.64 |\n| singer3 | 0.4 | 0.23 | 0.25 | 0.16 | 0.15 | 0.15 |\n| soccer1 | 0.52 | 0.48 | 0.53 | 0.53 | 0.55 | 0.51 |\n| soccer2 | 0.56 | 0.6 | 0.57 | 0.57 | 0.57 | 0.57 |\n| soldier | 0.39 | 0.37 | 0.36 | 0.36 | 0.37 | 0.4 |\n| sphere | 0.49 | 0.46 | 0.44 | 0.41 | 0.39 | 0.41 |\n| tiger | 0.71 | 0.68 | 0.68 | 0.67 | 0.68 | 0.66 |\n| traffic | 0.79 | 0.79 | 0.8 | 0.8 | 0.76 | 0.73 |\n| tunnel | 0.52 | 0.67 | 0.68 | 0.43 | 0.41 | 0.38 |\n| wiper | 0.62 | 0.65 | 0.65 | 0.64 | 0.65 | 0.65 |\n| mean | 0.51 | 0.5 | 0.51 | 0.51 | 0.51 | 0.5 |\n|  |  |  |  |  |  |  |",0]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |\n| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |\n| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |\n| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |\n| blanket | 0 | 0 | 0 | 0 | 0 | 0 |\n| bmx | 1 | 0 | 0 | 0 | 0 | 0 |\n| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |\n| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |\n| book | 2 | 4 | 6 | 3 | 3.2 | 5 |\n| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |\n| car1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| car2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| crossing | 1 | 1 | 1 | 1 | 1 | 1 |\n| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |\n| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |\n| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |\n| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |\n| fish3 | 0 | 0 | 0 | 0 | 0 | 0 |\n| fish4 | 0 | 0 | 2 | 0.6 | 0.2 | 0 |\n| girl | 1 | 1 | 1 | 1 | 1 | 1 |\n| glove | 2 | 2 | 2 | 2 | 2 | 2 |\n| godfather | 0 | 0 | 0 | 0 | 0 | 0 |\n| graduate | 0 | 3 | 3.2 | 1.1 | 1.3 | 3 |\n| gymnastics1 | 1.67 | 1 | 2.9 | 2.3 | 5.2 | 5.1 |\n| gymnastics2 | 3 | 2 | 2 | 3 | 2 | 2 |\n| gymnastics3 | 1.53 | 3 | 2.9 | 2 | 3 | 3 |\n| gymnastics4 | 0 | 0 | 0 | 0 | 0 | 0 |\n| hand | 7 | 8 | 7 | 7 | 7 | 6 |\n| handball1 | 0 | 1 | 0 | 0 | 0 | 0 |\n| handball2 | 3.27 | 5 | 3.4 | 3 | 3 | 2.9 |\n| helicopter | 0 | 1 | 1 | 1 | 1 | 1 |\n| iceskater1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| iceskater2 | 0.8 | 2 | 2.2 | 1.4 | 1.2 | 1.3 |\n| leaves | 1 | 3 | 3 | 3 | 3 | 3 |\n| marching | 0 | 0 | 0 | 0 | 0 | 0 |\n| matrix | 1 | 2 | 2 | 2 | 2 | 1 |\n| motocross1 | 0.2 | 3 | 3 | 3 | 3 | 3 |\n| motocross2 | 0 | 1 | 0.8 | 0.3 | 0.9 | 0 |\n| nature | 1.93 | 4 | 4 | 4 | 4 | 4 |\n| octopus | 0 | 0 | 0 | 1 | 1 | 0 |\n| pedestrian1 | 1.87 | 2 | 1.2 | 1 | 1 | 2 |\n| pedestrian2 | 0 | 1 | 1 | 1 | 1 | 1 |\n| rabbit | 3 | 5 | 4 | 4.2 | 3 | 4.1 |\n| racing | 0 | 0 | 0 | 0 | 0 | 0 |\n| road | 0 | 0 | 0 | 0 | 0 | 0 |\n| shaking | 0 | 0 | 1 | 1 | 1 | 0 |\n| sheep | 0 | 0 | 0 | 0 | 0 | 0 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0 |","| singer2 | 0 | 1 | 1 | 2 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| singer3 | 1.93 | 0 | 0 | 1 | 1 | 1 |\n| soccer1 | 2.93 | 3 | 2 | 2 | 1 | 1 |\n| soccer2 | 2 | 5 | 2 | 4 | 4 | 2 |\n| soldier | 1 | 1 | 1 | 1 | 1 | 1 |\n| sphere | 0 | 0 | 0 | 0 | 0 | 0 |\n| tiger | 0 | 0 | 0 | 0 | 0 | 0 |\n| traffic | 0 | 0 | 0 | 0 | 0 | 0.2 |\n| tunnel | 0 | 0 | 0 | 0 | 0 | 0 |\n| wiper | 0.4 | 0 | 0 | 0 | 0 | 0 |\n| mean | 0.93 | 1.38 | 1.38 | 1.3 | 1.28 | 1.28 |\n|  |  |  |  |  |  |  |",1]
["|  | MetaCREST-01 | CREST-Base | CREST-10 | CREST-05 | CREST-03 | CREST-01 |\n| --- | --- | --- | --- | --- | --- | --- |\n| bag | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| ball2 | 1 | 0 | 0 | 0 | 1 | 1 |\n| basketball | 1 | 2 | 1.9 | 1 | 1 | 1 |\n| birds1 | 1 | 1 | 2 | 2 | 1 | 1 |\n| birds2 | 0 | 0 | 1 | 0 | 0 | 0 |\n| blanket | 0 | 0 | 0 | 0 | 0 | 0 |\n| bmx | 1 | 0 | 0 | 0 | 0 | 0 |\n| bolt1 | 0 | 1 | 1.1 | 2 | 2 | 2 |\n| bolt2 | 0 | 0 | 1 | 1 | 1 | 2 |\n| book | 2 | 4 | 6 | 3 | 3.2 | 5 |\n| butterfly | 0 | 1 | 1 | 1 | 1 | 1 |\n| car1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| car2 | 0 | 0 | 0 | 0 | 0 | 0 |\n| crossing | 1 | 1 | 1 | 1 | 1 | 1 |\n| dinosaur | 3 | 4 | 4 | 3 | 3 | 3 |\n| fernando | 0.87 | 1 | 0 | 1 | 1 | 1 |\n| fish1 | 2.6 | 3 | 3.2 | 2 | 2 | 2 |\n| fish2 | 3.93 | 4 | 4 | 5 | 4 | 4 |\n| fish3 | 0 | 0 | 0 | 0 | 0 | 0 |\n| fish4 | 0 | 0 | 2 | 0.6 | 0.2 | 0 |\n| girl | 1 | 1 | 1 | 1 | 1 | 1 |\n| glove | 2 | 2 | 2 | 2 | 2 | 2 |\n| godfather | 0 | 0 | 0 | 0 | 0 | 0 |\n| graduate | 0 | 3 | 3.2 | 1.1 | 1.3 | 3 |\n| gymnastics1 | 1.67 | 1 | 2.9 | 2.3 | 5.2 | 5.1 |\n| gymnastics2 | 3 | 2 | 2 | 3 | 2 | 2 |\n| gymnastics3 | 1.53 | 3 | 2.9 | 2 | 3 | 3 |\n| gymnastics4 | 0 | 0 | 0 | 0 | 0 | 0 |\n| hand | 7 | 8 | 7 | 7 | 7 | 6 |\n| handball1 | 0 | 1 | 0 | 0 | 0 | 0 |\n| handball2 | 3.27 | 5 | 3.4 | 3 | 3 | 2.9 |\n| helicopter | 0 | 1 | 1 | 1 | 1 | 1 |\n| iceskater1 | 0 | 0 | 0 | 0 | 0 | 0 |\n| iceskater2 | 0.8 | 2 | 2.2 | 1.4 | 1.2 | 1.3 |\n| leaves | 1 | 3 | 3 | 3 | 3 | 3 |\n| marching | 0 | 0 | 0 | 0 | 0 | 0 |\n| matrix | 1 | 2 | 2 | 2 | 2 | 1 |\n| motocross1 | 0.2 | 3 | 3 | 3 | 3 | 3 |\n| motocross2 | 0 | 1 | 0.8 | 0.3 | 0.9 | 0 |\n| nature | 1.93 | 4 | 4 | 4 | 4 | 4 |\n| octopus | 0 | 0 | 0 | 1 | 1 | 0 |\n| pedestrian1 | 1.87 | 2 | 1.2 | 1 | 1 | 2 |\n| pedestrian2 | 0 | 1 | 1 | 1 | 1 | 1 |\n| rabbit | 3 | 5 | 4 | 4.2 | 3 | 4.1 |\n| racing | 0 | 0 | 0 | 0 | 0 | 0 |\n| road | 0 | 0 | 0 | 0 | 0 | 0 |\n| shaking | 0 | 0 | 1 | 1 | 1 | 0 |\n| sheep | 0 | 0 | 0 | 0 | 0 | 0 |\n| singer1 | 0 | 0 | 0 | 0 | 0 | 0 |","| motocross2 | 0.45 | 0.42 | 0.42 | 0.49 | 0.48 | 0.54 |\n| --- | --- | --- | --- | --- | --- | --- |\n| nature | 0.46 | 0.3 | 0.3 | 0.32 | 0.29 | 0.32 |\n| octopus | 0.4 | 0.32 | 0.33 | 0.44 | 0.43 | 0.37 |\n| pedestrian1 | 0.73 | 0.68 | 0.72 | 0.7 | 0.69 | 0.68 |\n| pedestrian2 | 0.3 | 0.45 | 0.49 | 0.38 | 0.37 | 0.34 |\n| rabbit | 0.41 | 0.23 | 0.33 | 0.32 | 0.41 | 0.29 |\n| racing | 0.52 | 0.42 | 0.42 | 0.4 | 0.4 | 0.41 |\n| road | 0.58 | 0.58 | 0.57 | 0.62 | 0.64 | 0.67 |\n| shaking | 0.66 | 0.64 | 0.69 | 0.73 | 0.76 | 0.68 |\n| sheep | 0.49 | 0.5 | 0.5 | 0.5 | 0.52 | 0.53 |\n| singer1 | 0.6 | 0.65 | 0.68 | 0.61 | 0.57 | 0.41 |\n| singer2 | 0.69 | 0.65 | 0.6 | 0.54 | 0.66 | 0.64 |\n| singer3 | 0.4 | 0.23 | 0.25 | 0.16 | 0.15 | 0.15 |\n| soccer1 | 0.52 | 0.48 | 0.53 | 0.53 | 0.55 | 0.51 |\n| soccer2 | 0.56 | 0.6 | 0.57 | 0.57 | 0.57 | 0.57 |\n| soldier | 0.39 | 0.37 | 0.36 | 0.36 | 0.37 | 0.4 |\n| sphere | 0.49 | 0.46 | 0.44 | 0.41 | 0.39 | 0.41 |\n| tiger | 0.71 | 0.68 | 0.68 | 0.67 | 0.68 | 0.66 |\n| traffic | 0.79 | 0.79 | 0.8 | 0.8 | 0.76 | 0.73 |\n| tunnel | 0.52 | 0.67 | 0.68 | 0.43 | 0.41 | 0.38 |\n| wiper | 0.62 | 0.65 | 0.65 | 0.64 | 0.65 | 0.65 |\n| mean | 0.51 | 0.5 | 0.51 | 0.51 | 0.51 | 0.5 |\n|  |  |  |  |  |  |  |",0]
["| Parameters | Range | Default |\n| --- | --- | --- |\n| AttackType | FR,FD | FD |\n| GroupSize | 1-5 | 3 |\n| AttackInterval(s) | 6,10,14 | 10 |\n| FRShortRoute | opt-2*opt | original |\n| FRLongRoute | opt-2*opt | original |\n| FDShortRoute | opt-2*opt | opt |\n| FDShortRoute | opt-2*opt | 2*opt |\n| InfectedVehicles(TH(VehicleSpeed(Km/h)d | 40-90 | 40 |","| NumberofVehicles | 50-150 | 150 |\n| --- | --- | --- |\n| TIN(s) | 30-120 | 30 |",1]
["| Parameters | Range | Default |\n| --- | --- | --- |\n| AttackType | FR,FD | FD |\n| GroupSize | 1-5 | 3 |\n| AttackInterval(s) | 6,10,14 | 10 |\n| FRShortRoute | opt-2*opt | original |\n| FRLongRoute | opt-2*opt | original |\n| FDShortRoute | opt-2*opt | opt |\n| FDShortRoute | opt-2*opt | 2*opt |\n| InfectedVehicles(TH(VehicleSpeed(Km/h)d | 40-90 | 40 |","| VMPaddress | Time<br>Aware | Shortest<br>Path |\n| --- | --- | --- |\n| viaAeroporto | 0.4604 | 0.4602 |\n| viaCascine | 0.3376 | 0.3178 |\n| viadiCisanello | 0.5880 | 0.5758 |\n| viaToscoRomagnola | 0.4511 | 0.4527 |\n| viaBrennero | 0.4770 | 0.4823 |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |\n| viaEmilia | 0.7050 | 0.6868 |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",0]
["| Parameters | Range | Default |\n| --- | --- | --- |\n| AttackType | FR,FD | FD |\n| GroupSize | 1-5 | 3 |","| AttackInterval(s) | 6,10,14 | 10 |\n| --- | --- | --- |\n| FRShortRoute | opt-2*opt | original |\n| FRLongRoute | opt-2*opt | original |\n| FDShortRoute | opt-2*opt | opt |\n| FDShortRoute | opt-2*opt | 2*opt |\n| InfectedVehicles(TH(VehicleSpeed(Km/h)d | 40-90 | 40 |\n| NumberofVehicles | 50-150 | 150 |\n| TIN(s) | 30-120 | 30 |",1]
["| Parameters | Range | Default |\n| --- | --- | --- |\n| AttackType | FR,FD | FD |\n| GroupSize | 1-5 | 3 |","| viaToscoRomagnola | 0.4511 | 0.4527 |\n| --- | --- | --- |\n| viaBrennero | 0.4770 | 0.4823 |\n| viaSanJacopo | 0.6680 | 0.6536 |\n| viaPietrasantina | 0.6070 | 0.6083 |\n| viaEmilia | 0.7050 | 0.6868 |\n| viaPisano | 0.5615 | 0.5510 |\n| Averagecorrelation | 0.539 | 0.532 |",0]
["| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |\n| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |","| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",1]
["| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |\n| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 72.9<br>41.1<br>19.7 | 40712.1<br>24618.2<br>7771.4 | 1048153<br>1035994<br>991498 | 6.61<br>6.53<br>6.25 | 316.0<br>186.0<br>164.9 | 97.46<br>86.47<br>64.20 | 0.303<br>0.294<br>0.284 | 2.244<br>2.248<br>2.265 | 7.74<br>7.82<br>8.08 | 9.4<br>9.5<br>10.0 | 7.50<br>7.59<br>7.85 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |","| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |\n| --- | --- | --- | --- | --- | --- | --- |\n| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",1]
["| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |","| 55.7<br>34.5<br>19.2 | 55655.9<br>39689.8<br>16375.4 | 924321<br>915711<br>892140 | 5.52<br>5.47<br>5.33 | 479.1<br>299.7<br>253.9 | 31.73<br>27.18<br>21.87 | 0.206<br>0.220<br>0.232 | 2.340<br>2.348<br>2.374 | 12.14<br>12.40<br>12.52 | 15.2<br>15.6<br>15.5 | 11.65<br>11.91<br>12.06 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 157.2<br>80.0<br>23.4 | 36744.6<br>22361.7<br>5806.9 | 2982974<br>2940310<br>2624066 | 5.26<br>5.18<br>4.62 | 28438<br>26900<br>16353 | 2522.6<br>2282.6<br>970.8 | 0.0062<br>0.0061<br>0.0070 | 2.416<br>2.419<br>2.438 | 6.24<br>6.27<br>6.59 | 8.0<br>8.0<br>8.1 | 6.01<br>6.04<br>6.36 |",0]
["| method | datasetA | datasetB |\n| --- | --- | --- |\n| ES | 4.32 | 7.02 |\n| ES4LT | 0.97 | 3.59 |\n| MD | 11.30 | 22.82 |\n| MD4LT | 1.63 | 1.25 |","| VO | 4.49 | 17.19 |\n| --- | --- | --- |\n| VO4LT | 1.86 | 3.05 |",1]
["| method | datasetA | datasetB |\n| --- | --- | --- |\n| ES | 4.32 | 7.02 |\n| ES4LT | 0.97 | 3.59 |\n| MD | 11.30 | 22.82 |\n| MD4LT | 1.63 | 1.25 |","| method/distr. | D1 | D2 | D3 | D4 | D5 |\n| --- | --- | --- | --- | --- | --- |\n| ES | 0.47 | 0.87 | 2.31 | 7.54 | 66.41 |\n| ES4LT | 0.27 | 0.35 | 1.14 | 3.59 | 25.01 |\n| MD | 8.37 | 2.89 | 3.30 | 3.46 | 25.01 |\n| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |\n| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |\n| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 |",0]
["| method | datasetA | datasetB |\n| --- | --- | --- |\n| ES | 4.32 | 7.02 |\n| ES4LT | 0.97 | 3.59 |","| MD | 11.30 | 22.82 |\n| --- | --- | --- |\n| MD4LT | 1.63 | 1.25 |\n| VO | 4.49 | 17.19 |\n| VO4LT | 1.86 | 3.05 |",1]
["| method | datasetA | datasetB |\n| --- | --- | --- |\n| ES | 4.32 | 7.02 |\n| ES4LT | 0.97 | 3.59 |","| MD4LT | 0.70 | 0.59 | 1.33 | 1.79 | 2.02 |\n| --- | --- | --- | --- | --- | --- |\n| VO | 1.77 | 2.16 | 2.82 | 3.37 | 7.78 |\n| VO4LT | 0.32 | 0.56 | 1.24 | 1.68 | 1.82 |",0]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 72.45 | 69.76 | 66.11 |","| 82.57 | 78.83 | 63.62 |\n| --- | --- | --- |\n| 84.05 | 80.93 | 76.83 |\n| 84.08 | 81.48 | 77.04 |\n| 84.24 | 81.22 | 78.12 |\n| 84.21 | 84.14 | 77.15 |\n| 84.93 | 84.11 | 78.42 |",1]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 72.45 | 69.76 | 66.11 |","| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 84.01 | - | 74.55 |\n| 83.98 | - | 73.78 |\n| 84.97 | - | 75.16 |\n| 77.00 | 78.95 | 66.21 |\n| 78.37 | 78.65 | 68.35 |\n| 81.15 | 80.22 | 72.73 |\n| 82.99 | 82.90 | 73.23 |\n| 82.73 | - | 74.52 |\n| 84.25 | - | 77.26 |\n| 84.05 | 80.93 | 76.83 |\n| 84.93 | 84.11 | 78.42 |",0]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 72.45 | 69.76 | 66.11 |\n| 82.57 | 78.83 | 63.62 |\n| 84.05 | 80.93 | 76.83 |\n| 84.08 | 81.48 | 77.04 |\n| 84.24 | 81.22 | 78.12 |","| 84.21 | 84.14 | 77.15 |\n| --- | --- | --- |\n| 84.93 | 84.11 | 78.42 |",1]
["| Restaurant |  |  |\n| --- | --- | --- |\n| Aspect | Opinion | Aspect |\n| 72.45 | 69.76 | 66.11 |\n| 82.57 | 78.83 | 63.62 |\n| 84.05 | 80.93 | 76.83 |\n| 84.08 | 81.48 | 77.04 |\n| 84.24 | 81.22 | 78.12 |","| 81.15 | 80.22 | 72.73 |\n| --- | --- | --- |\n| 82.99 | 82.90 | 73.23 |\n| 82.73 | - | 74.52 |\n| 84.25 | - | 77.26 |\n| 84.05 | 80.93 | 76.83 |\n| 84.93 | 84.11 | 78.42 |",0]
["| Network | diam(G)diam(T)3 | kkmaxavg |\n| --- | --- | --- |\n| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |\n| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |\n| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |\n| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |\n| Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |\n| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 |","| Amazon-2 | 4747<br>2022 | 71.205<br>41.274 |\n| --- | --- | --- |\n| openFlight<br>POWER-Grid<br>road-pa | 6262<br>1314<br>4646<br>794803 | 80.135<br>20.704<br>41.409<br>4610.64 |",1]
["| Network | diam(G)diam(T)3 | kkmaxavg |\n| --- | --- | --- |\n| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |\n| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |\n| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |\n| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |\n| Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |\n| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 |","| NetworkTypeRef. | \\|V\\|\\|E\\|\\|C(G)\\|deg |\n| --- | --- |\n| facebook<br>eva<br>social<br>slashdot<br>loans<br>twitter | 3621431032.4<br>403988234143.7<br>44754664152.1<br>77360905468113.1<br>8917133949792935074.69<br>4650178347977553.59 |\n| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |\n| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |\n| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |\n| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |\n| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |\n| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |\n| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 |",0]
["| Network | diam(G)diam(T)3 | kkmaxavg |\n| --- | --- | --- |\n| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |\n| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |\n| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |\n| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |","| Gnutella-24<br>Gnutella-30<br>Gnutella-31 | 1012<br>1112<br>1114<br>1114 | 42.507<br>30.863<br>53.295<br>52.669 |\n| --- | --- | --- |\n| web-Notredam<br>web-BerkStan | 164164<br>4646<br>208208 | 280.006<br>20.017<br>220.002 |\n| Amazon-2 | 4747<br>2022 | 71.205<br>41.274 |\n| openFlight<br>POWER-Grid<br>road-pa | 6262<br>1314<br>4646<br>794803 | 80.135<br>20.704<br>41.409<br>4610.64 |",1]
["| Network | diam(G)diam(T)3 | kkmaxavg |\n| --- | --- | --- |\n| Facebook<br>EVA<br>Slashdot<br>loans<br>twitter | 2224<br>88<br>1819<br>1212<br>810<br>810 | 62.083<br>20.686<br>20.571<br>20.701<br>32.081<br>41.856 |\n| Email-enron<br>email-Eu<br>wikitalk-china | 810<br>1314<br>1414<br>88 | 41.906<br>21.735<br>20.002<br>20.777 |\n| SC-PPI<br>Yeast-PPI<br>Homo-PI | 78<br>1922<br>1112<br>1010 | 21.185<br>63.163<br>31.872<br>20.747 |\n| AS-Graph-2<br>AS-Graph-3<br>Routeview<br>AS-caida<br>itdk | 910<br>1112<br>910<br>1010<br>1717<br>2628 | 20.886<br>31.272<br>20.312<br>20.329<br>00<br>31.385 |","| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |\n| --- | --- |\n| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |\n| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |\n| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |\n| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |\n| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |\n| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 |",0]
["| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |\n| --- | --- | --- | --- | --- | --- |\n| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |\n| 255 | 16bytes | 1 | RE | 0.90 | 0.30 |\n| 255 | 16bytes | 2 | MT | 2.94 | 20.41 |\n| 255 | 16bytes | 2 | RE | 0.46 | 0.81 |\n| 255 | 32bytes | 1 | MT | 2.92 | 10.07 |\n| 255 | 32bytes | 1 | RE | 0.09 | 0.40 |\n| 255 | 32bytes | 2 | MT | 11.23 | 14.75 |\n| 255 | 32bytes | 2 | RE | 0.39 | 0.67 |\n| 255 | 64bytes | 1 | MT | 3.12 | 15.27 |\n| 255 | 64bytes | 1 | RE | 0.08 | 0.64 |\n| 255 | 64bytes | 2 | MT | 14.57 | 69.00 |\n| 255 | 64bytes | 2 | RE | 0.35 | 1.04 |\n| 128 | 16bytes | 1 | MT | 3.23 | 15.94 |\n| 128 | 16bytes | 1 | RE | 0.09 | 0.28 |\n| 128 | 16bytes | 2 | MT | 11.78 | 26.40 |\n| 128 | 16bytes | 2 | RE | 0.45 | 0.71 |\n| 128 | 32bytes | 1 | MT | 3.29 | 15.67 |\n| 128 | 32bytes | 1 | RE | 0.87 | 0.35 |\n| 128 | 32bytes | 2 | MT | 12.67 | 40.38 |\n| 128 | 32bytes | 2 | RE | 0.42 | 0.78 |\n| 128 | 64bytes | 1 | MT | 2.80 | 6.47 |\n| 128 | 64bytes | 1 | RE | 0.08 | 0.45 |","| 128 | 64bytes | 2 | MT | 16.47 | 70.62 |\n| --- | --- | --- | --- | --- | --- |\n| 128 | 64bytes | 2 | RE | 0.41 | 1.69 |\n| 32 | 16codes | 1 | MT | 2.42 | 13.46 |\n| 32 | 16codes | 1 | RE | 0.88 | 0.33 |\n| 32 | 16codes | 2 | MT | 9.01 | 22.94 |\n| 32 | 16codes | 2 | RE | 0.52 | 0.74 |\n| 32 | 32codes | 1 | MT | 2.49 | 18.05 |\n| 32 | 32codes | 1 | RE | 0.09 | 0.42 |\n| 32 | 32codes | 2 | MT | 10.39 | 31.03 |\n| 32 | 32codes | 2 | RE | 0.38 | 0.84 |\n| 32 | 64codes | 1 | MT | 3.04 | 18.78 |\n| 32 | 64codes | 1 | RE | 0.08 | 0.39 |\n| 32 | 64codes | 2 | MT | 10.28 | 64.4 |\n| 32 | 64codes | 2 | RE | 0.37 | 1.12 |",1]
["| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |\n| --- | --- | --- | --- | --- | --- |\n| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |\n| 255 | 16bytes | 1 | RE | 0.90 | 0.30 |\n| 255 | 16bytes | 2 | MT | 2.94 | 20.41 |\n| 255 | 16bytes | 2 | RE | 0.46 | 0.81 |\n| 255 | 32bytes | 1 | MT | 2.92 | 10.07 |\n| 255 | 32bytes | 1 | RE | 0.09 | 0.40 |\n| 255 | 32bytes | 2 | MT | 11.23 | 14.75 |\n| 255 | 32bytes | 2 | RE | 0.39 | 0.67 |\n| 255 | 64bytes | 1 | MT | 3.12 | 15.27 |\n| 255 | 64bytes | 1 | RE | 0.08 | 0.64 |\n| 255 | 64bytes | 2 | MT | 14.57 | 69.00 |\n| 255 | 64bytes | 2 | RE | 0.35 | 1.04 |\n| 128 | 16bytes | 1 | MT | 3.23 | 15.94 |\n| 128 | 16bytes | 1 | RE | 0.09 | 0.28 |\n| 128 | 16bytes | 2 | MT | 11.78 | 26.40 |\n| 128 | 16bytes | 2 | RE | 0.45 | 0.71 |\n| 128 | 32bytes | 1 | MT | 3.29 | 15.67 |\n| 128 | 32bytes | 1 | RE | 0.87 | 0.35 |\n| 128 | 32bytes | 2 | MT | 12.67 | 40.38 |\n| 128 | 32bytes | 2 | RE | 0.42 | 0.78 |\n| 128 | 64bytes | 1 | MT | 2.80 | 6.47 |\n| 128 | 64bytes | 1 | RE | 0.08 | 0.45 |","|  |  |  | GFLOPS | GB/s |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Kernel | R×Rxy | T×Txy | Initial | Buf | Tex | Initial | Buf | Tex |\n| 8 | 1×1 | 8×8 | 414 | 562 | 510 | 53 | 72 | 65 |\n| 9 | 1×2 | 16×8 | 771 | 837 | 818 | 49 | 54 | 53 |\n| 10 | 2×1 | 8×16 | 783 | 852 | 834 | 50 | 55 | 54 |\n| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |\n| --- | --- | --- | --- | --- | --- |\n| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |\n| 255 | 16bytes | 1 | RE | 0.90 | 0.30 |","| 255 | 16bytes | 2 | MT | 2.94 | 20.41 |\n| --- | --- | --- | --- | --- | --- |\n| 255 | 16bytes | 2 | RE | 0.46 | 0.81 |\n| 255 | 32bytes | 1 | MT | 2.92 | 10.07 |\n| 255 | 32bytes | 1 | RE | 0.09 | 0.40 |\n| 255 | 32bytes | 2 | MT | 11.23 | 14.75 |\n| 255 | 32bytes | 2 | RE | 0.39 | 0.67 |\n| 255 | 64bytes | 1 | MT | 3.12 | 15.27 |\n| 255 | 64bytes | 1 | RE | 0.08 | 0.64 |\n| 255 | 64bytes | 2 | MT | 14.57 | 69.00 |\n| 255 | 64bytes | 2 | RE | 0.35 | 1.04 |\n| 128 | 16bytes | 1 | MT | 3.23 | 15.94 |\n| 128 | 16bytes | 1 | RE | 0.09 | 0.28 |\n| 128 | 16bytes | 2 | MT | 11.78 | 26.40 |\n| 128 | 16bytes | 2 | RE | 0.45 | 0.71 |\n| 128 | 32bytes | 1 | MT | 3.29 | 15.67 |\n| 128 | 32bytes | 1 | RE | 0.87 | 0.35 |\n| 128 | 32bytes | 2 | MT | 12.67 | 40.38 |\n| 128 | 32bytes | 2 | RE | 0.42 | 0.78 |\n| 128 | 64bytes | 1 | MT | 2.80 | 6.47 |\n| 128 | 64bytes | 1 | RE | 0.08 | 0.45 |\n| 128 | 64bytes | 2 | MT | 16.47 | 70.62 |\n| 128 | 64bytes | 2 | RE | 0.41 | 1.69 |\n| 32 | 16codes | 1 | MT | 2.42 | 13.46 |\n| 32 | 16codes | 1 | RE | 0.88 | 0.33 |\n| 32 | 16codes | 2 | MT | 9.01 | 22.94 |\n| 32 | 16codes | 2 | RE | 0.52 | 0.74 |\n| 32 | 32codes | 1 | MT | 2.49 | 18.05 |\n| 32 | 32codes | 1 | RE | 0.09 | 0.42 |\n| 32 | 32codes | 2 | MT | 10.39 | 31.03 |\n| 32 | 32codes | 2 | RE | 0.38 | 0.84 |\n| 32 | 64codes | 1 | MT | 3.04 | 18.78 |\n| 32 | 64codes | 1 | RE | 0.08 | 0.39 |\n| 32 | 64codes | 2 | MT | 10.28 | 64.4 |\n| 32 | 64codes | 2 | RE | 0.37 | 1.12 |",1]
["| C.S.Len. | Msg.Len. | Codes/Hash | Delay | Avg.(bps) | Std.Dev. |\n| --- | --- | --- | --- | --- | --- |\n| 255 | 16bytes | 1 | MT | 3.61 | 14.10 |\n| 255 | 16bytes | 1 | RE | 0.90 | 0.30 |","| 11 | 2×2 | 8×8 | 801 | 944 | 1023 | 53 | 61 | 66 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 2×2 | 16×16 | 644 | 908 | 897 | 21 | 31 | 30 |",0]
["| Benchmarks |  |\n| --- | --- |\n| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite |  |\n| HardwareConﬁgurations |  |\n| Network | Ethernet,Inﬁniband |\n| Storage | SSD,HDD,RemoteDisks{1-3} |\n| Cluster | #Datanodes,VMdescription |\n| SoftwareConﬁgurations |  |\n| Maps | 2to32 |","| I/OSortFactor | 1to100 |\n| --- | --- |\n| I/OFileBuﬀer | 1KBto256KB |\n| Replicas | 1to3 |\n| BlockSize | 32MBto256MB |\n| CompressionAlgs. | None,BZIP2,ZLIB,Snappy |\n| HadoopInfo | Version |",1]
["| Benchmarks |  |\n| --- | --- |\n| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite |  |\n| HardwareConﬁgurations |  |\n| Network | Ethernet,Inﬁniband |\n| Storage | SSD,HDD,RemoteDisks{1-3} |\n| Cluster | #Datanodes,VMdescription |\n| SoftwareConﬁgurations |  |\n| Maps | 2to32 |","| NodesUsed | 1 | 1-2 | 1-3 | 1-4 | 1-5 | 1-6 | 1-7 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| SizeofDataset(GB) | 10 | 20 | 30 | 40 | 50 | 60 | 70 |\n| HadoopTerasort | 645 | 766 | 768 | 773 | 815 | 882 | 901 |\n| SphereTerasort | 408 | 409 | 410 | 429 | 430 | 436 | 440 |\n| HadoopTerasplit | 141 | 266 | 410 | 544 | 671 | 901 | 1133 |\n| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["| Benchmarks |  |\n| --- | --- |\n| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite |  |\n| HardwareConﬁgurations |  |\n| Network | Ethernet,Inﬁniband |\n| Storage | SSD,HDD,RemoteDisks{1-3} |\n| Cluster | #Datanodes,VMdescription |\n| SoftwareConﬁgurations |  |\n| Maps | 2to32 |\n| I/OSortFactor | 1to100 |\n| I/OFileBuﬀer | 1KBto256KB |","| Replicas | 1to3 |\n| --- | --- |\n| BlockSize | 32MBto256MB |\n| CompressionAlgs. | None,BZIP2,ZLIB,Snappy |\n| HadoopInfo | Version |",1]
["| Benchmarks |  |\n| --- | --- |\n| bayes,terasort,sort,wordcount,kmeans,<br>pagerank,dfsioeread,dfsioewrite |  |\n| HardwareConﬁgurations |  |\n| Network | Ethernet,Inﬁniband |\n| Storage | SSD,HDD,RemoteDisks{1-3} |\n| Cluster | #Datanodes,VMdescription |\n| SoftwareConﬁgurations |  |\n| Maps | 2to32 |\n| I/OSortFactor | 1to100 |\n| I/OFileBuﬀer | 1KBto256KB |","| SphereTerasplit | 96 | 221 | 350 | 462 | 560 | 663 | 754 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| TotalHadoop | 786 | 1032 | 1178 | 1317 | 1486 | 1784 | 2034 |\n| TotalSphere | 504 | 630 | 760 | 891 | 990 | 1099 | 1194 |\n| SpeedupTerasort | 1.6 | 1.9 | 1.9 | 1.8 | 1.9 | 2.0 | 2.0 |\n| SpeedupTerasplit | 1.5 | 1.2 | 1.2 | 1.2 | 1.2 | 1.4 | 1.5 |\n| Speeduptotal | 1.6 | 1.6 | 1.6 | 1.5 | 1.5 | 1.6 | 1.7 |",0]
["|  | Role | Researchgroup | Gender | Age |\n| --- | --- | --- | --- | --- |\n| 1 | Printer21.79 | Sharedoﬃce11.72 | Kitchen10.63 | Reception1.61 |","| 2 | Commonroom1.79 | Printer11.71 | Printer40.57 | Cafeteria1.58 |\n| --- | --- | --- | --- | --- |\n| 3 | Sharedoﬃce31.77 | Sharedoﬃce21.67 | Reception0.56 | Commonroom1.57 |\n| 4 | Sharedoﬃce11.77 | Commonroom1.64 | Sharedoﬃce40.54 | Printer41.57 |\n| 5 | Printer31.77 | Kitchen11.63 | Cafeteria0.52 | Printer31.56 |\n| 6 | Cafeteria1.76 | Reception1.63 | Commonroom0.51 | Kitchen11.54 |\n| 7 | Kitchen21.76 | Printer41.63 | Sharedoﬃce60.50 | Kitchen31.53 |\n| 8 | Kitchen31.75 | Cafeteria1.63 | Printer20.45 | Printer21.47 |\n| 9 | Meetingroom11.72 | Kitchen41.63 | Kitchen20.41 | Sharedoﬃce71.41 |\n| 10 | Reception1.71 | Printer31.63 | Sharedoﬃce30.41 | Meetingroom11.36 |",1]
["|  | Role | Researchgroup | Gender | Age |\n| --- | --- | --- | --- | --- |\n| 1 | Printer21.79 | Sharedoﬃce11.72 | Kitchen10.63 | Reception1.61 |","| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["|  | Role | Researchgroup | Gender | Age |\n| --- | --- | --- | --- | --- |\n| 1 | Printer21.79 | Sharedoﬃce11.72 | Kitchen10.63 | Reception1.61 |\n| 2 | Commonroom1.79 | Printer11.71 | Printer40.57 | Cafeteria1.58 |\n| 3 | Sharedoﬃce31.77 | Sharedoﬃce21.67 | Reception0.56 | Commonroom1.57 |\n| 4 | Sharedoﬃce11.77 | Commonroom1.64 | Sharedoﬃce40.54 | Printer41.57 |","| 5 | Printer31.77 | Kitchen11.63 | Cafeteria0.52 | Printer31.56 |\n| --- | --- | --- | --- | --- |\n| 6 | Cafeteria1.76 | Reception1.63 | Commonroom0.51 | Kitchen11.54 |\n| 7 | Kitchen21.76 | Printer41.63 | Sharedoﬃce60.50 | Kitchen31.53 |\n| 8 | Kitchen31.75 | Cafeteria1.63 | Printer20.45 | Printer21.47 |\n| 9 | Meetingroom11.72 | Kitchen41.63 | Kitchen20.41 | Sharedoﬃce71.41 |\n| 10 | Reception1.71 | Printer31.63 | Sharedoﬃce30.41 | Meetingroom11.36 |",1]
["|  | Role | Researchgroup | Gender | Age |\n| --- | --- | --- | --- | --- |\n| 1 | Printer21.79 | Sharedoﬃce11.72 | Kitchen10.63 | Reception1.61 |\n| 2 | Commonroom1.79 | Printer11.71 | Printer40.57 | Cafeteria1.58 |\n| 3 | Sharedoﬃce31.77 | Sharedoﬃce21.67 | Reception0.56 | Commonroom1.57 |\n| 4 | Sharedoﬃce11.77 | Commonroom1.64 | Sharedoﬃce40.54 | Printer41.57 |","| university | students | 0.275 | 0.425 | 0.435 |\n| --- | --- | --- | --- | --- |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",0]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |\n| Delta-nHinge | 93.4 | NA | NA | 98.4 |\n| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |","| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| --- | --- | --- | --- | --- |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",1]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |\n| Delta-nHinge | 93.4 | NA | NA | 98.4 |\n| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |","| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 91.5 | 95.5 | 97.5 | 98.0 |\n| Delta-nHinge | 93.4 | NA | NA | 97.8 |\n| CS-UMD-a* | 95.2 | 98.2 | 98.8 | 99.2 |\n| MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 |\n| SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 |\n| SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 |",0]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |","| Delta-nHinge | 93.4 | NA | NA | 98.4 |\n| --- | --- | --- | --- | --- |\n| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |\n| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |\n| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |\n| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |\n| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 |",1]
["| Method | Top1 | Top2 | Top5 | Top10 |\n| --- | --- | --- | --- | --- |\n| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |","| MultiFeature* | 97.4 | 97.8 | 98.6 | 98.8 |\n| --- | --- | --- | --- | --- |\n| SRS-LBPl1out8,4 | 95.2 | 96.4 | 98.0 | 98.4 |\n| SRS-LBPmetric* | 95.6 | 96.8 | 98.4 | 99.0 |",0]
["| QA |\n| --- |\n| P@1MRR |\n| 0.2000.457<br>0.5790.726 |","| 0.5810.756<br>0.6260.781<br>0.6900.822 |\n| --- |\n| 0.7250.840<br>0.7660.869 |\n| 0.5910.765<br>0.7640.867 |\n| 0.7850.879<br>0.7900.882 |",1]
["| QA |\n| --- |\n| P@1MRR |\n| 0.2000.457<br>0.5790.726 |","| q | Example1 | Example2 | Example3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| E1 | E2 | E1 | E2 | E1 | E2 |  |\n| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |\n| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |\n| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |\n| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |\n| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |\n| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |\n| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |\n| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |\n| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |\n| 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |\n| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 |",0]
["| QA |\n| --- |\n| P@1MRR |\n| 0.2000.457<br>0.5790.726 |\n| 0.5810.756<br>0.6260.781<br>0.6900.822 |\n| 0.7250.840<br>0.7660.869 |","| 0.5910.765<br>0.7640.867 |\n| --- |\n| 0.7850.879<br>0.7900.882 |",1]
["| QA |\n| --- |\n| P@1MRR |\n| 0.2000.457<br>0.5790.726 |\n| 0.5810.756<br>0.6260.781<br>0.6900.822 |\n| 0.7250.840<br>0.7660.869 |","| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |\n| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |\n| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |\n| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |\n| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |\n| 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |\n| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 |",0]
["| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| x | y | z | a1 | a2 | a3 | φ | ν | ψ |","| 1 | -48.07 | 78.27 | 14.81 | 50 | 75 | 100 | 74.21 | 48.44 | -48.07 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 16.45 | 178.64 | -154.51 | 50 | 100 | 75 | 37.27 | 22.27 | -25.51 |\n| 3 | 127.93 | -65.94 | -27.32 | 100 | 75 | 50 | 46.74 | 11.17 | -26.30 |",1]
["| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| x | y | z | a1 | a2 | a3 | φ | ν | ψ |","|  | θ1 | θ2 | θ3 | δS |\n| --- | --- | --- | --- | --- |\n| m1 | 1/3 | 1/3 | 1/3 | 0.423 |\n| m2 | 0.4 | 0.4 | 0.2 | 0.471 |\n| m3 | 0.45 | 0.45 | 0.10 | 0.493 |\n| m4 | 0.45 | 0.40 | 0.15 | 0.508 |\n| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |\n| m7 | 0.6 | 0.3 | 0.1 | 0.639 |\n| m8 | 1 | 0 | 0 | 1 |",0]
["| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| x | y | z | a1 | a2 | a3 | φ | ν | ψ |","| 1 | -48.07 | 78.27 | 14.81 | 50 | 75 | 100 | 74.21 | 48.44 | -48.07 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | 16.45 | 178.64 | -154.51 | 50 | 100 | 75 | 37.27 | 22.27 | -25.51 |\n| 3 | 127.93 | -65.94 | -27.32 | 100 | 75 | 50 | 46.74 | 11.17 | -26.30 |",1]
["| Incl. | Centroidcoordinates | Semiaxesdim. | Euleranglesofmaxai |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| x | y | z | a1 | a2 | a3 | φ | ν | ψ |","| m3 | 0.45 | 0.45 | 0.10 | 0.493 |\n| --- | --- | --- | --- | --- |\n| m4 | 0.45 | 0.40 | 0.15 | 0.508 |\n| m5 | 0.45 | 0.3 | 0.25 | 0.523 |\n| m6 | 0.45 | 0.275 | 0.275 | 0.524 |\n| m7 | 0.6 | 0.3 | 0.1 | 0.639 |\n| m8 | 1 | 0 | 0 | 1 |",0]
["| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |","| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",1]
["| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |","| Method | FRGC4× | FRGC8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |\n| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |\n| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",0]
["| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |","| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",1]
["| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |","| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |\n| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |\n| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",0]
["| n | numberofnodes |\n| --- | --- |\n| Ni | thei-thnode(0≤i≤n−1) |\n| k | numberofdatanodes |","| r | numberofsymbolsperstrip |\n| --- | --- |\n| t | numberofconcurrentfailures(1≤t≤n−k) |\n| M | sizeoforiginaldatastoredinastripe |\n| si,j | thej-thstoredsymbolinastripeofnodeN(0≤i≤n−1,0≤j≤r)i |\n| (cid:48)ei,i | (cid:48)encodedsymbolfromsurvivingnodeNusedtorecoverlostdataoffailednodeN(0≤i,i≤n−1)ii |",1]
["| n | numberofnodes |\n| --- | --- |\n| Ni | thei-thnode(0≤i≤n−1) |\n| k | numberofdatanodes |","| No.ofnodes | NameofTheNeurons | NeuronLabelNo. |\n| --- | --- | --- |\n| 1 | IL2DL | 1 |\n| 2 | IL2DR | 6 |\n| 3 | ASIL | 76 |\n| 4 | ASIR | 90 |\n| 5 | AINL | 120 |\n| 6 | SDQR | 179 |\n| 7 | DB05 | 204 |\n| 8 | AS08 | 220 |\n| 9 | PVDR | 227 |\n| 10 | DVB | 253 |\n| 11 | PLNR | 260 |\n| 12 | PHCR | 274 |\n| 13 | PLML | 279 |",0]
["| n | numberofnodes |\n| --- | --- |\n| Ni | thei-thnode(0≤i≤n−1) |\n| k | numberofdatanodes |","| r | numberofsymbolsperstrip |\n| --- | --- |\n| t | numberofconcurrentfailures(1≤t≤n−k) |\n| M | sizeoforiginaldatastoredinastripe |\n| si,j | thej-thstoredsymbolinastripeofnodeN(0≤i≤n−1,0≤j≤r)i |\n| (cid:48)ei,i | (cid:48)encodedsymbolfromsurvivingnodeNusedtorecoverlostdataoffailednodeN(0≤i,i≤n−1)ii |",1]
["| n | numberofnodes |\n| --- | --- |\n| Ni | thei-thnode(0≤i≤n−1) |\n| k | numberofdatanodes |","| 8 | AS08 | 220 |\n| --- | --- | --- |\n| 9 | PVDR | 227 |\n| 10 | DVB | 253 |\n| 11 | PLNR | 260 |\n| 12 | PHCR | 274 |\n| 13 | PLML | 279 |",0]
["|  | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |\n| --- | --- | --- | --- |\n| SARSA | slow,optimal | fast,optimal | slow,optimal |","| Dyna | fast,optimal | slow,optimal | slow,optimal |\n| --- | --- | --- | --- |\n| simpleDyna | fast,notoptimal | slow,notoptimal | slow,notoptimal |\n| pRL | fast,near-optimal<br>(lowκ) | fast,near-optimal<br>(highκ) | fast,near-optimal |",1]
["|  | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |\n| --- | --- | --- | --- |\n| SARSA | slow,optimal | fast,optimal | slow,optimal |","| baseline | weakly | weakly<br>cleaned |\n| --- | --- | --- |\n| 48.3 | 8.5 | 15.9 |\n| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |\n| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |\n| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 |",0]
["|  | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |\n| --- | --- | --- | --- |\n| SARSA | slow,optimal | fast,optimal | slow,optimal |","| Dyna | fast,optimal | slow,optimal | slow,optimal |\n| --- | --- | --- | --- |\n| simpleDyna | fast,notoptimal | slow,notoptimal | slow,notoptimal |\n| pRL | fast,near-optimal<br>(lowκ) | fast,near-optimal<br>(highκ) | fast,near-optimal |",1]
["|  | DPisunexpensive<br>newdataisexpensive | DPisexpensive<br>newdataisunexpensive | DPisexpensive<br>newdataisexpensive |\n| --- | --- | --- | --- |\n| SARSA | slow,optimal | fast,optimal | slow,optimal |","| 77.0<br>77.8<br>78.4<br>78.4 | 62.8<br>62.2<br>65.0<br>65.0 | 64.8<br>61.9<br>63.0<br>62.7 |\n| --- | --- | --- |\n| 78.5<br>78.5<br>- | 63.7<br>64.9<br>- | 62.5<br>68.0<br>66.9 |\n| 80.1<br>- | 66.8<br>- | 68.9<br>68.5 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| Baseline3 | 1.67 | 3.41 |","| FCN-HA | 1.65 | 3.37 |\n| --- | --- | --- |\n| FCN-rLSTM | 1.54 | 3.02 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| Baseline3 | 1.67 | 3.41 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| OPT-RC | 2.03 | 5.97 |\n| FCN-MT | 1.67 | 3.41 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |","| Baseline3 | 1.67 | 3.41 |\n| --- | --- | --- |\n| FCN-HA | 1.65 | 3.37 |\n| FCN-rLSTM | 1.54 | 3.02 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |","| Cross-sceneDNN | 1.6 | 3.31 |\n| --- | --- | --- |\n| OPT-RC | 2.03 | 5.97 |\n| FCN-MT | 1.67 | 3.41 |",0]
["| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |\n| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 |  |\n| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 |  |\n| Carfront | 16.8052 | 17.7973 | 20.1188 | 20.9859 | 20.3457 | 22.2137 |\n| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 |  |\n| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 |  |","| Desert | 21.1075 | 21.9822 | 26.2154 | 30.3749 | 23.3818 | 30.4087 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.7299 | 0.7941 | 0.8231 | 0.9273 | 0.7605 | 0.9292 |  |\n| 112.3 | 10.5 | 13778 | 78.8 | 11901 | 917.1 |  |\n| Road | 24.8007 | 24.8087 | 28.1933 | 32.3209 | 27.6135 | 33.0020 |\n| 0.7479 | 0.7974 | 0.8273 | 0.9013 | 0.8125 | 0.9040 |  |\n| 107.3 | 14.2 | 13309 | 177.6 | 11287 | 1344.7 |  |",1]
["| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |\n| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 |  |\n| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 |  |\n| Carfront | 16.8052 | 17.7973 | 20.1188 | 20.9859 | 20.3457 | 22.2137 |\n| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 |  |\n| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 |  |","| Sequence | SGL | Centroid | NDL | Proposed |\n| --- | --- | --- | --- | --- |\n| Car | 23.6366 | 28.3825 | 29.1869 | 28.2689 |\n| 0.7558 | 0.8539 | 0.8743 | 0.8624 |  |\n| 136.8 | 13564 | 10261 | 574.1 |  |\n| Carfront | 16.8052 | 20.1188 | 20.3457 | 20.9223 |\n| 0.6920 | 0.8048 | 0.8041 | 0.8375 |  |\n| 15.5 | 1610.7 | 1793.1 | 1.0535 |  |\n| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |\n| 0.7299 | 0.8231 | 0.7605 | 0.9258 |  |\n| 112.3 | 13778 | 11901 | 1.1621 |  |\n| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |\n| 0.7479 | 0.8273 | 0.8125 | 0.9005 |  |\n| 107.3 | 13309 | 11287 | 1.1252 |  |",0]
["| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |\n| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 |  |\n| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 |  |","| Carfront | 16.8052 | 17.7973 | 20.1188 | 20.9859 | 20.3457 | 22.2137 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.6920 | 0.7214 | 0.8048 | 0.8419 | 0.8041 | 0.8665 |  |\n| 15.5 | 4.2 | 1610.7 | 65.1 | 1793.1 | 346.0 |  |\n| Desert | 21.1075 | 21.9822 | 26.2154 | 30.3749 | 23.3818 | 30.4087 |\n| 0.7299 | 0.7941 | 0.8231 | 0.9273 | 0.7605 | 0.9292 |  |\n| 112.3 | 10.5 | 13778 | 78.8 | 11901 | 917.1 |  |\n| Road | 24.8007 | 24.8087 | 28.1933 | 32.3209 | 27.6135 | 33.0020 |\n| 0.7479 | 0.7974 | 0.8273 | 0.9013 | 0.8125 | 0.9040 |  |\n| 107.3 | 14.2 | 13309 | 177.6 | 11287 | 1344.7 |  |",1]
["| Sequence | SGL | SGL<br>+Proposed | Centroid | Centroid<br>+Proposed | NDL | NDL<br>+Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| Car | 23.6366 | 22.9945 | 28.3825 | 29.7958 | 29.1869 | 30.5191 |\n| 0.7558 | 0.7609 | 0.8539 | 0.8867 | 0.8743 | 0.8960 |  |\n| 136.8 | 606.2 | 13564 | 1232.3 | 10261 | 2665.2 |  |","| 15.5 | 1610.7 | 1793.1 | 1.0535 |  |\n| --- | --- | --- | --- | --- |\n| Desert | 21.1075 | 26.2154 | 23.3818 | 30.2849 |\n| 0.7299 | 0.8231 | 0.7605 | 0.9258 |  |\n| 112.3 | 13778 | 11901 | 1.1621 |  |\n| Road | 24.8007 | 28.1933 | 27.6135 | 32.1232 |\n| 0.7479 | 0.8273 | 0.8125 | 0.9005 |  |\n| 107.3 | 13309 | 11287 | 1.1252 |  |",0]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |","| SynRules | -13.08 | -12.78 |\n| --- | --- | --- |\n| SemColl | 24.32 | 3.38 |\n| TOTAL | -0.64 | -13.34 |",1]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |","| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |\n| SynRules | -13.08 | -12.78 |\n| SemColl | 24.32 | 3.38 |\n| TOTAL | -0.64 | -13.34 |",0]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |\n| SynRules | -13.08 | -12.78 |","| SemColl | 24.32 | 3.38 |\n| --- | --- | --- |\n| TOTAL | -0.64 | -13.34 |",1]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |\n| SynRules | -13.08 | -12.78 |","| Low2 | -2.80 | 0.00 |\n| --- | --- | --- |\n| SynRules | -13.08 | -12.78 |\n| SemColl | 24.32 | 3.38 |\n| TOTAL | -0.64 | -13.34 |",0]
["| Datasets | WN18 | FB15K |  |\n| --- | --- | --- | --- |\n| Metric | MeanRank | MeanRank |  |\n| Raw | Filter | Raw | Filter |","| Unstructured<br>RESCAL<br>SE<br>SME(linear)<br>SME(bilinear)<br>LFM<br>TransE<br>TransH(bern)<br>TransH(unif) | 315<br>1,180<br>1,011<br>545<br>526<br>469<br>263<br>401<br>318 | 304<br>1,163<br>985<br>533<br>509<br>456<br>251<br>388<br>303 | 1,074<br>828<br>273<br>274<br>284<br>283<br>243<br>212<br>211 | 979<br>683<br>162<br>154<br>158<br>164<br>125<br>87<br>84 |\n| --- | --- | --- | --- | --- |\n| TransA | 165 | 153 | 164 | 58 |",1]
["| Datasets | WN18 | FB15K |  |\n| --- | --- | --- | --- |\n| Metric | MeanRank | MeanRank |  |\n| Raw | Filter | Raw | Filter |","| Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |\n| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",0]
["| Datasets | WN18 | FB15K |  |\n| --- | --- | --- | --- |\n| Metric | MeanRank | MeanRank |  |\n| Raw | Filter | Raw | Filter |","| Unstructured<br>RESCAL<br>SE<br>SME(linear)<br>SME(bilinear)<br>LFM<br>TransE<br>TransH(bern)<br>TransH(unif) | 315<br>1,180<br>1,011<br>545<br>526<br>469<br>263<br>401<br>318 | 304<br>1,163<br>985<br>533<br>509<br>456<br>251<br>388<br>303 | 1,074<br>828<br>273<br>274<br>284<br>283<br>243<br>212<br>211 | 979<br>683<br>162<br>154<br>158<br>164<br>125<br>87<br>84 |\n| --- | --- | --- | --- | --- |\n| TransA | 165 | 153 | 164 | 58 |",1]
["| Datasets | WN18 | FB15K |  |\n| --- | --- | --- | --- |\n| Metric | MeanRank | MeanRank |  |\n| Raw | Filter | Raw | Filter |","| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |\n| --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |\n| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 |",0]
["| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Speciﬁcity |\n| --- | --- | --- | --- | --- | --- | --- |\n| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |\n| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 |  |\n| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 |  |\n| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 |  |","| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |\n| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 |  |\n| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 |  |\n| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 |  |\n| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 |  |",1]
["| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Speciﬁcity |\n| --- | --- | --- | --- | --- | --- | --- |\n| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |\n| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 |  |\n| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 |  |\n| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 |  |","|  | UnderSegmentation | Accuracy | MCC |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Method | Mean | SD | Mean | SD | Mean | SD |\n| OurMethod | 2.643167 | 2.667397 | 99.01979 | 0.575767 | 0.938438 | 0.033661 |\n| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |\n| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |\n| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |",0]
["| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Speciﬁcity |\n| --- | --- | --- | --- | --- | --- | --- |\n| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |\n| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 |  |\n| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 |  |\n| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 |  |\n| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 |  |\n| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |","| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 |\n| --- | --- | --- | --- | --- | --- |\n| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 |\n| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 |\n| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 |",1]
["| Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Speciﬁcity |\n| --- | --- | --- | --- | --- | --- | --- |\n| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |\n| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 |  |\n| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 |  |\n| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 |  |\n| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 |  |\n| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |","| 2-ClassCNN | 8.944368 | 9.749133 | 96.76865 | 1.907359 | 0.852528 | 0.047596 |\n| --- | --- | --- | --- | --- | --- | --- |\n| U-Net | 2.758809 | 0.343256 | 99.69015 | 0.016499 | 0.977921 | 0.000479 |\n| LevelSet | 27.792356 | 22.945279 | 96.98377 | 1.231796 | 0.792400 | 0.066891 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 127 | 482.90 | 5715.4 |","| MySQL | 78.3 | 825.8 | 18794.4 |\n| --- | --- | --- | --- |\n| PostgreSQL | 35.5 | 582.6 | 11479.8 |\n| MongoDB | 9 | 133.8 | 1530.9 |\n| CouchDB | 1.19 | 15.57 | 132.7 |\n| Couchbase | 39.37 | 405.57 | 6579.23 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 127 | 482.90 | 5715.4 |","| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 36.10 | 286.50 | 2764.80 |\n| MySQL | 87.7 | 1264 | 10620.5 |\n| PostgreSQL | 77.3 | 2385.2 | 25421.5 |\n| MongoDB | 17.3 | 265.4 | 2875.9 |\n| CouchDB | 1.56 | 18.64 | 266.68 |\n| Couchbase | 73.16 | 731.39 | 10414.85 |",0]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 127 | 482.90 | 5715.4 |","| MySQL | 78.3 | 825.8 | 18794.4 |\n| --- | --- | --- | --- |\n| PostgreSQL | 35.5 | 582.6 | 11479.8 |\n| MongoDB | 9 | 133.8 | 1530.9 |\n| CouchDB | 1.19 | 15.57 | 132.7 |\n| Couchbase | 39.37 | 405.57 | 6579.23 |",1]
["| Numberofoperations |  |  |  |\n| --- | --- | --- | --- |\n| Database | 1000 | 10000 | 100000 |\n| MicrosoftSQLServer | 127 | 482.90 | 5715.4 |","| CouchDB | 1.56 | 18.64 | 266.68 |\n| --- | --- | --- | --- |\n| Couchbase | 73.16 | 731.39 | 10414.85 |",0]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431411 | 14.7271 |","| octopus | 1431411 | 12.698 |\n| --- | --- | --- |\n| penguin | 808051 | 7.51067 |\n| plant | 1431411 | 13.6282 |\n| plane | 808051 | 7.64527 |",1]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431411 | 14.7271 |","| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431361 | 14.5125 |\n| octopus | 1431361 | 12.9877 |\n| penguin | 808001 | 7.58177 |\n| plant | 1431361 | 13.7403 |\n| plane | 808001 | 7.67518 |",0]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431411 | 14.7271 |\n| octopus | 1431411 | 12.698 |\n| penguin | 808051 | 7.51067 |","| plant | 1431411 | 13.6282 |\n| --- | --- | --- |\n| plane | 808051 | 7.64527 |",1]
["| image | #functions(r) | IBFStime(sec) |\n| --- | --- | --- |\n| bee | 1431411 | 14.7271 |\n| octopus | 1431411 | 12.698 |\n| penguin | 808051 | 7.51067 |","| octopus | 1431361 | 12.9877 |\n| --- | --- | --- |\n| penguin | 808001 | 7.58177 |\n| plant | 1431361 | 13.7403 |\n| plane | 808001 | 7.67518 |",0]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |","| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |\n| --- | --- | --- | --- | --- | --- |\n| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 46.30(45.81,47.09) | 85.42(85.13,85.23) | 93.23(93.09,93.37) | 91.38(91.18,91.59) | 84.36(84.06,84.70) |",1]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |","| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |\n| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) |",0]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |\n| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |","| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| --- | --- | --- | --- | --- | --- |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 46.30(45.81,47.09) | 85.42(85.13,85.23) | 93.23(93.09,93.37) | 91.38(91.18,91.59) | 84.36(84.06,84.70) |",1]
["| 81.02(80.75,81.29) | 46.93(46.57,47.33) | 85.02(84.76,85.22) | 92.49(92.3592.63) | 90.90(90.6291.20) | 83.06(82.5083.42) |\n| --- | --- | --- | --- | --- | --- |\n| 81.33(81.04,81.71) | 47.11(46.77,47.43) | 85.40(84.98,85.67) | 92.93(92.8293.15) | 91.44(91.2091.60) | 84.00(83.5784.34) |\n| 81.29(80.96,81.59) | 47.29(46.90,47.82) | 85.47(85.17,85.77) | 93.21(93.0393.37) | 91.44(91.1891.68) | 83.89(83.2484.47) |\n| 81.38(81.21,81.68) | 46.91(46.22,47.38) | 85.33(85.25,85.72) | 93.08(92.9693.22) | 91.56(91.2691.90) | 84.00(83.2184.60) |\n| 81.22(81.03,81.49) | 46.93(46.44,47.38) | 85.46(84.98,85.73) | 93.14(92.9093.33) | 91.58(91.3991.87) | 83.99(83.7384.31) |\n| 81.19(80.94,81.42) | 46.74(46.19,47.12) | 85.41(85.04,85.83) | 93.11(92.9993.32) | 91.58(91.2991.81) | 83.94(83.0484.61) |\n| 81.12(80.87,81.29) | 46.91(46.58,47.48) | 85.47(85.23,85.74) | 93.15(92.9993.29) | 91.58(91.3791.84) | 83.92(83.4084.54) |\n| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |","| 81.13(80.64,81.33) | 46.96(46.62,47.31) | 85.46(85.17,85.64) | 93.10(92.9893.19) | 91.54(91.2891.73) | 84.09(83.5984.53) |\n| --- | --- | --- | --- | --- | --- |\n| 81.22(80.82,81.66) | 47.02(46.73,47.67) | 85.42(85.16,85.78) | 93.09(92.9593.25) | 91.45(91.2291.62) | 83.91(83.2484.40) |\n| 81.19(80.79,81.43) | 46.98(46.63,47.59) | 85.48(85.27,85.79) | 93.06(92.8493.43) | 91.55(91.2691.84) | 83.94(83.0284.35) |\n| 80.19(79.95,80.39) | 45.11(44.57,45.64) | 84.58(84.24,84.87) | 92.88(92.58,93.03) | 90.55(90.26,90.94) | 83.53(82.96,84.15) |",0]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | obama | romney |\n| obama | romney | romney | romney | obama |\n| mitt | debate | mitt | not | mitt |","| debate | mitt | barack | like | class |\n| --- | --- | --- | --- | --- |\n| poll | tonight | debate | mitt | like |\n| election | gt | president | vote | middle |\n| won | presidential | michelle | don | tax |\n| cnn | president | not | people | not |\n| amp | vote | amp | voting | cut |\n| president | election | video | amp | says |\n| street | ﬁrst | anniversary | election | taxes |\n| wins | get | would | know | president |\n| y | watch | election | debate | fucked |\n| de | amp | party | president | debate |\n|  | like | tonight | get | big |",1]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | obama | romney |\n| obama | romney | romney | romney | obama |\n| mitt | debate | mitt | not | mitt |","| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| obama | obama | romney | romney | obama |\n| romney | romney | obama | obama | romney |\n| debate | debate | tax | mitt | mitt |\n| mitt | president | mitt | like | not |\n| tonight | gt | plan | not | like |\n| president | ryan | debate | debate | jobs |\n| amp | paul | trillion | women | candy |\n| not | poll | details | get | crowley |\n| would | won | president | vote | right |\n| plan | mitt | don | president | said |\n| back | amp | like | election | president |\n| one | election | cut | tonight | debate |\n| point | tonight | taxes | don | amp |\n| last | voters | amp | amp | libya |\n| win | vote | know | get |  |",0]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | obama | romney |\n| obama | romney | romney | romney | obama |\n| mitt | debate | mitt | not | mitt |\n| debate | mitt | barack | like | class |\n| poll | tonight | debate | mitt | like |\n| election | gt | president | vote | middle |\n| won | presidential | michelle | don | tax |\n| cnn | president | not | people | not |","| amp | vote | amp | voting | cut |\n| --- | --- | --- | --- | --- |\n| president | election | video | amp | says |\n| street | ﬁrst | anniversary | election | taxes |\n| wins | get | would | know | president |\n| y | watch | election | debate | fucked |\n| de | amp | party | president | debate |\n|  | like | tonight | get | big |",1]
["| T1 | T2 | T3 | T4 | T5 |\n| --- | --- | --- | --- | --- |\n| romney | obama | obama | obama | romney |\n| obama | romney | romney | romney | obama |\n| mitt | debate | mitt | not | mitt |\n| debate | mitt | barack | like | class |\n| poll | tonight | debate | mitt | like |\n| election | gt | president | vote | middle |\n| won | presidential | michelle | don | tax |\n| cnn | president | not | people | not |","| one | election | cut | tonight | debate |\n| --- | --- | --- | --- | --- |\n| point | tonight | taxes | don | amp |\n| last | voters | amp | amp | libya |\n| win | vote | know | get |  |",0]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |","| 30 | 160 |\n| --- | --- |\n| 30 | 162 |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |\n| 30 | 166 |\n| 30 | 161 |\n| 30 | 163 |\n| 30 | 161 |\n| 30 | 151 |\n| 30 | 162 |\n| 30 | 154 |\n| 30 | 151 |\n| 30 | 157 |\n| –<br>– | –<br>– |",1]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |","| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |\n| 30 | 162 |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |\n| 30 | 166 |\n| 30 | 161 |\n| 30 | 163 |\n| 30 | 161 |\n| 30 | 151 |\n| 30 | 162 |\n| 30 | 154 |\n| 30 | 151 |\n| 30 | 157 |\n| –<br>– | –<br>– |",0]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |","| 30 | 162 |\n| --- | --- |\n| 30 | 158 |\n| 30 | 156 |\n| 30 | 152 |\n| 30 | 166 |\n| 30 | 161 |\n| 30 | 163 |\n| 30 | 161 |\n| 30 | 151 |\n| 30 | 162 |\n| 30 | 154 |\n| 30 | 151 |\n| 30 | 157 |\n| –<br>– | –<br>– |",1]
["| Samples<br>TrainTest |  |\n| --- | --- |\n| 30 | 168 |\n| 30 | 160 |","| 30 | 157 |\n| --- | --- |\n| –<br>– | –<br>– |",0]
["| Penalties | DSC | Sensitivity | Speciﬁcity | Fscore2 | APRscore |\n| --- | --- | --- | --- | --- | --- |\n| α=0.5,β=0.5 | 53.42 | 49.85 | 99.93 | 51.77 | 52.57 |\n| α=0.4,β=0.6 | 54.57 | 55.85 | 99.91 | 55.47 | 54.34 |","| α=0.3,β=0.7 | 56.42 | 56.85 | 99.93 | 57.32 | 56.04 |\n| --- | --- | --- | --- | --- | --- |\n| α=0.2,β=0.8 | 48.57 | 61.00 | 99.89 | 54.53 | 53.31 |\n| α=0.1,β=0.9 | 46.42 | 65.57 | 99.87 | 56.11 | 51.65 |",1]
["| Penalties | DSC | Sensitivity | Speciﬁcity | Fscore2 | APRscore |\n| --- | --- | --- | --- | --- | --- |\n| α=0.5,β=0.5 | 53.42 | 49.85 | 99.93 | 51.77 | 52.57 |\n| α=0.4,β=0.6 | 54.57 | 55.85 | 99.91 | 55.47 | 54.34 |","| β | 5@NDCG | 10@NDCG | 20@NDCG | 40@NDCG |\n| --- | --- | --- | --- | --- |\n| 0.5 | 0.3885 | 0.2888 | 0.2139 | 0.1478 |\n| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |\n| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["| Penalties | DSC | Sensitivity | Speciﬁcity | Fscore2 | APRscore |\n| --- | --- | --- | --- | --- | --- |\n| α=0.5,β=0.5 | 53.42 | 49.85 | 99.93 | 51.77 | 52.57 |","| α=0.4,β=0.6 | 54.57 | 55.85 | 99.91 | 55.47 | 54.34 |\n| --- | --- | --- | --- | --- | --- |\n| α=0.3,β=0.7 | 56.42 | 56.85 | 99.93 | 57.32 | 56.04 |\n| α=0.2,β=0.8 | 48.57 | 61.00 | 99.89 | 54.53 | 53.31 |\n| α=0.1,β=0.9 | 46.42 | 65.57 | 99.87 | 56.11 | 51.65 |",1]
["| Penalties | DSC | Sensitivity | Speciﬁcity | Fscore2 | APRscore |\n| --- | --- | --- | --- | --- | --- |\n| α=0.5,β=0.5 | 53.42 | 49.85 | 99.93 | 51.77 | 52.57 |","| 1.5 | 0.3392 | 0.2745 | 0.2035 | 0.1370 |\n| --- | --- | --- | --- | --- |\n| 2.5 | 0.3392 | 0.2863 | 0.2036 | 0.1379 |\n| 3.5 | 0.3392 | 0.2752 | 0.1988 | 0.1362 |",0]
["| n | T(n) |\n| --- | --- |\n| 2 | 1 |","| 3 | 1 |\n| --- | --- |\n| 4 | 4 |\n| 5 | 56 |\n| 6 | 9048 |\n| 7 | 16942080 |\n| 8 | 535281401585 |\n| 9 | 377597570964258 |\n| 10 | 7580721483160132811489280 |\n| 11 | 5.36×10 |\n| 12 | 1.62×10 |\n| 13 | 2.51×10 |\n| 14 | 2.33×10 |\n| 15 | 1.50×10 |",1]
["| n | T(n) |\n| --- | --- |\n| 2 | 1 |","| n | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t(n)C | 1 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 1 | 2 | 2 | 2 |\n| n | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 |\n| t(n)C | 2 | 3 | 3 | 4 | 2 | 4 | 4 | 5 | 4 | 5 | 6 | 9 | 6 | 8 | 8 | 12 | 11 | 12 | 12 | 18 |\n| n | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 |\n| t(n)C | 18 | 21 | 18 | 26 | 28 | 33 | 32 | 40 | 44 | 57 | 53 | 65 | 70 | 89 | 93 | 106 | 115 | 147 | 158 | 184 |",0]
["| n | T(n) |\n| --- | --- |\n| 2 | 1 |\n| 3 | 1 |\n| 4 | 4 |\n| 5 | 56 |\n| 6 | 9048 |\n| 7 | 16942080 |\n| 8 | 535281401585 |\n| 9 | 377597570964258 |\n| 10 | 7580721483160132811489280 |\n| 11 | 5.36×10 |\n| 12 | 1.62×10 |","| 13 | 2.51×10 |\n| --- | --- |\n| 14 | 2.33×10 |\n| 15 | 1.50×10 |",1]
["| n | T(n) |\n| --- | --- |\n| 2 | 1 |\n| 3 | 1 |\n| 4 | 4 |\n| 5 | 56 |\n| 6 | 9048 |\n| 7 | 16942080 |\n| 8 | 535281401585 |\n| 9 | 377597570964258 |\n| 10 | 7580721483160132811489280 |\n| 11 | 5.36×10 |\n| 12 | 1.62×10 |","| n | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| t(n)C | 2 | 3 | 3 | 4 | 2 | 4 | 4 | 5 | 4 | 5 | 6 | 9 | 6 | 8 | 8 | 12 | 11 | 12 | 12 | 18 |\n| n | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 |\n| t(n)C | 18 | 21 | 18 | 26 | 28 | 33 | 32 | 40 | 44 | 57 | 53 | 65 | 70 | 89 | 93 | 106 | 115 | 147 | 158 | 184 |",0]
["| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |","| 3 | 31.8 | 36.2 |\n| --- | --- | --- |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",1]
["| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |","| Clusters | Unigram | Bigram | Trigram |\n| --- | --- | --- | --- |\n| 1 | 12.4 | 34.3 | 51.6 |\n| 2 | 13.8 | 37.9 | 51.0 |\n| 3 | 15.3 | 39.5 | 50.8 |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",0]
["| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |","| 3 | 31.8 | 36.2 |\n| --- | --- | --- |\n| 4 | 31.7 | 37.0 |\n| 5 | 32.3 | 37.2 |\n| 6 | 31.9 | 37.3 |\n| 10 | 32.8 | 37.5 |\n| 20 | 35.1 | 38.3 |\n| 40 | 35.8 | 38.9 |",1]
["| Clusters | 1-rule | 2-rule |\n| --- | --- | --- |\n| 1 | 29.4 | 34.3 |\n| 2 | 31.4 | 35.5 |","| 3 | 15.3 | 39.5 | 50.8 |\n| --- | --- | --- | --- |\n| 4 | 16.1 | 41.2 | 50.4 |\n| 5 | 16.8 | 41.2 | 51.0 |\n| 6 | 17.2 | 41.8 | 50.7 |\n| 10 | 17.8 | 43.1 | 51.2 |\n| 20 | 19.9 | 43.9 | 50.3 |\n| 40 | 22.3 | 45.0 |  |\n| 100 | 24.4 | 46.4 |  |",0]
["|  | Couprie | Wang | B-DN | S-DN | C-DN | E-DN | Ours |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bed | 38.1 | 47.6 | 27.4 | 19.6 | 19.2 | 25.3 | 31.6 |\n| objects | 8.7 | 12.4 | 40.7 | 43.8 | 40.1 | 36.9 | 61.5 |\n| chair | 34.1 | 23.5 | 43.5 | 39.2 | 42.8 | 39.3 | 43.6 |","| furniture | 42.4 | 16.7 | 37.2 | 36.3 | 35.7 | 35.2 | 49.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ceiling | 62.6 | 68.1 | 52.2 | 56.2 | 55.9 | 55.1 | 58.7 |\n| ﬂoor | 87.3 | 84.1 | 82.9 | 86.5 | 84.7 | 90.5 | 89.0 |\n| decorate | 40.4 | 26.4 | 55.8 | 56.9 | 54.6 | 60.4 | 68.9 |\n| sofa | 24.6 | 39.1 | 36.7 | 31.3 | 28.3 | 35.7 | 30.8 |\n| table | 10.2 | 35.4 | 36.4 | 50.3 | 50.5 | 42.7 | 49.3 |\n| wall | 86.1 | 65.9 | 41.4 | 32.2 | 33.3 | 34.3 | 44.9 |\n| window | 15.9 | 52.2 | 81.7 | 87.4 | 88.9 | 78.1 | 83.9 |\n| books | 13.7 | 45.0 | 28.8 | 23.1 | 22.5 | 29.9 | 39.9 |\n| TV | 6.0 | 32.4 | 53.7 | 29.4 | 29.7 | 35.27 | 32.8 |\n| AVE | 36.2 | 42.2 | 47.6 | 45.6 | 45.1 | 46.1 | 52.7 |",1]
["|  | Couprie | Wang | B-DN | S-DN | C-DN | E-DN | Ours |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bed | 38.1 | 47.6 | 27.4 | 19.6 | 19.2 | 25.3 | 31.6 |\n| objects | 8.7 | 12.4 | 40.7 | 43.8 | 40.1 | 36.9 | 61.5 |\n| chair | 34.1 | 23.5 | 43.5 | 39.2 | 42.8 | 39.3 | 43.6 |","| category | ours |  |  |  |\n| --- | --- | --- | --- | --- |\n| bathtub | 0.8348 | 0.7017 | 0.7190 | 0.1644 |\n| bed | 0.9202 | 0.7775 | 0.3963 | 0.3239 |\n| chair | 0.9920 | 0.9700 | 0.9892 | 0.8482 |\n| desk | 0.8203 | 0.7936 | 0.8145 | 0.1068 |\n| dresser | 0.7678 | 0.6314 | 0.7010 | 0.2166 |\n| monitor | 0.9473 | 0.2493 | 0.8559 | 0.2767 |\n| nightstand | 0.7195 | 0.6853 | 0.6592 | 0.4969 |\n| sofa | 0.9480 | 0.9276 | 0.3017 | 0.4888 |\n| table | 0.8910 | 0.8377 | 0.8751 | 0.7902 |\n| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |\n| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 |",0]
["|  | Couprie | Wang | B-DN | S-DN | C-DN | E-DN | Ours |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bed | 38.1 | 47.6 | 27.4 | 19.6 | 19.2 | 25.3 | 31.6 |\n| objects | 8.7 | 12.4 | 40.7 | 43.8 | 40.1 | 36.9 | 61.5 |\n| chair | 34.1 | 23.5 | 43.5 | 39.2 | 42.8 | 39.3 | 43.6 |\n| furniture | 42.4 | 16.7 | 37.2 | 36.3 | 35.7 | 35.2 | 49.8 |\n| ceiling | 62.6 | 68.1 | 52.2 | 56.2 | 55.9 | 55.1 | 58.7 |\n| ﬂoor | 87.3 | 84.1 | 82.9 | 86.5 | 84.7 | 90.5 | 89.0 |\n| decorate | 40.4 | 26.4 | 55.8 | 56.9 | 54.6 | 60.4 | 68.9 |\n| sofa | 24.6 | 39.1 | 36.7 | 31.3 | 28.3 | 35.7 | 30.8 |\n| table | 10.2 | 35.4 | 36.4 | 50.3 | 50.5 | 42.7 | 49.3 |\n| wall | 86.1 | 65.9 | 41.4 | 32.2 | 33.3 | 34.3 | 44.9 |","| window | 15.9 | 52.2 | 81.7 | 87.4 | 88.9 | 78.1 | 83.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| books | 13.7 | 45.0 | 28.8 | 23.1 | 22.5 | 29.9 | 39.9 |\n| TV | 6.0 | 32.4 | 53.7 | 29.4 | 29.7 | 35.27 | 32.8 |\n| AVE | 36.2 | 42.2 | 47.6 | 45.6 | 45.1 | 46.1 | 52.7 |",1]
["|  | Couprie | Wang | B-DN | S-DN | C-DN | E-DN | Ours |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| bed | 38.1 | 47.6 | 27.4 | 19.6 | 19.2 | 25.3 | 31.6 |\n| objects | 8.7 | 12.4 | 40.7 | 43.8 | 40.1 | 36.9 | 61.5 |\n| chair | 34.1 | 23.5 | 43.5 | 39.2 | 42.8 | 39.3 | 43.6 |\n| furniture | 42.4 | 16.7 | 37.2 | 36.3 | 35.7 | 35.2 | 49.8 |\n| ceiling | 62.6 | 68.1 | 52.2 | 56.2 | 55.9 | 55.1 | 58.7 |\n| ﬂoor | 87.3 | 84.1 | 82.9 | 86.5 | 84.7 | 90.5 | 89.0 |\n| decorate | 40.4 | 26.4 | 55.8 | 56.9 | 54.6 | 60.4 | 68.9 |\n| sofa | 24.6 | 39.1 | 36.7 | 31.3 | 28.3 | 35.7 | 30.8 |\n| table | 10.2 | 35.4 | 36.4 | 50.3 | 50.5 | 42.7 | 49.3 |\n| wall | 86.1 | 65.9 | 41.4 | 32.2 | 33.3 | 34.3 | 44.9 |","| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |\n| --- | --- | --- | --- | --- |\n| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 |",0]
["| SystemConﬁguration |  |\n| --- | --- |\n| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |","| MemorySubsystem |  |\n| --- | --- |\n| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |\n| 2-DMeshwithXYRouting |  |\n| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits |",1]
["| SystemConﬁguration |  |\n| --- | --- |\n| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |","| ReorderBuﬀer | 2.7GHz,256-entry,<br>maxfetch/retirepercycle:4/2,<br>5pipeline(latencyofnon-meminstr) |\n| --- | --- |\n| L1Cache | Private,32KB,4-way,64Bcacheline,<br>9CPUcycleshit(4+5) |\n| L2Cache | Private,256KB,8-way,64Bcacheline,<br>15CPUcycleshit(10+5) |\n| L3Cache | Shared,16-way,64Bcacheline,<br>1MB/core,45CPUcycleshit(40+5) |\n| Memory<br>Controller | 2buﬀerschedulers/MC,<br>Read/WriteQueue:64/64 |\n| LinkBus | 2.7GHz,point-to-point,<br>read/writebuswidth:16/16 |\n| Buﬀer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |\n| DRAMParameters |  |\n| Memory | 264-bitChannels,2Ranks/Channel,<br>8devices/Rank,8sub-ranks/rank,<br>x8-widthsub-rank,1device/sub-rank |\n| DRAMDevice | DDR3-1333MHz,x8,8banks,<br>32768Rows/bank,1024Columns/Row<br>8KBRowBuﬀerperBank,BL=8,<br>Timeandpowerparametersfrom<br>Micron2GbSDRAM |",0]
["| SystemConﬁguration |  |\n| --- | --- |\n| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |","| MemorySubsystem |  |\n| --- | --- |\n| CachelineSize<br>L1ICache<br>L1DCache<br>SharedL2CacheperCore<br>DRAMBandwidth<br>DRAMLatency | 64bytes<br>16KB,4-way<br>32KB,4-way<br>256KB,8-way<br>8MCs,10GB/sperMC<br>100ns |\n| 2-DMeshwithXYRouting |  |\n| HopLatency<br>FlitWidth | 2cycles(1-router,1-link)<br>128bits |",1]
["| SystemConﬁguration |  |\n| --- | --- |\n| NumberofCores<br>CoreModel | N=64<br>Out-of-order,128-entryROB |","| Buﬀer<br>Scheduler | FRFCFS,closedpage<br>Channel-interleavemapping |\n| --- | --- |\n| DRAMParameters |  |\n| Memory | 264-bitChannels,2Ranks/Channel,<br>8devices/Rank,8sub-ranks/rank,<br>x8-widthsub-rank,1device/sub-rank |\n| DRAMDevice | DDR3-1333MHz,x8,8banks,<br>32768Rows/bank,1024Columns/Row<br>8KBRowBuﬀerperBank,BL=8,<br>Timeandpowerparametersfrom<br>Micron2GbSDRAM |",0]
["| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 6.90.7<br>14.90.7<br>21.61.0<br>27.70.5<br>32.80.5 | 4.10.52.6ms<br>10.90.83.2ms<br>17.81.35.5ms<br>23.40.67.6ms<br>28.80.59.0ms | 5.20.53.6s<br>12.50.55.1s<br>18.30.86.2s<br>23.90.67.6s<br>28.60.18.6s |","| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 7.70.5<br>17.20.6<br>25.10.7<br>32.20.6<br>38.30.6 | 4.80.62.9ms<br>13.10.94.5ms<br>20.61.48.0ms<br>27.40.910.4ms<br>33.50.812.1ms | 6.00.54.5s<br>14.60.66.5s<br>21.80.68.2s<br>28.20.49.9s<br>33.30.211.4s |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 8.50.6<br>19.20.6<br>28.80.7<br>36.20.6<br>44.10.6 | 5.70.93.6ms<br>15.30.76.7ms<br>24.11.510.8ms<br>30.60.713.4ms<br>38.00.515.7ms | 6.80.55.7s<br>16.70.58.3s<br>25.00.411.1s<br>31.70.713.0s<br>38.30.315.6s |\n| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 5.60.5<br>12.00.4<br>17.00.7<br>21.80.6<br>25.80.3 | 2.20.42.7ms<br>7.50.63.5ms<br>12.70.65.0ms<br>17.10.67.6ms<br>21.50.410.1ms | 3.50.34.2s<br>9.20.45.6s<br>13.80.76.7s<br>18.00.57.7s<br>21.30.18.7s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 6.30.3<br>13.60.5<br>20.00.5<br>25.90.4<br>30.10.4 | 3.00.43.1ms<br>8.80.94.6ms<br>15.20.77.3ms<br>19.80.810.6ms<br>24.60.413.6ms | 4.40.45.1s<br>10.90.56.9s<br>16.40.38.4s<br>21.30.510.7s<br>25.10.311.5s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 6.90.4<br>15.30.3<br>22.80.4<br>28.80.7<br>34.60.2 | 3.50.33.8ms<br>10.61.05.8ms<br>17.10.99.9ms<br>22.70.813.9ms<br>28.80.717.9ms | 5.20.36.7s<br>12.50.58.4s<br>18.80.511.4s<br>24.20.512.8s<br>28.80.215.2s |",1]
["| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 6.90.7<br>14.90.7<br>21.61.0<br>27.70.5<br>32.80.5 | 4.10.52.6ms<br>10.90.83.2ms<br>17.81.35.5ms<br>23.40.67.6ms<br>28.80.59.0ms | 5.20.53.6s<br>12.50.55.1s<br>18.30.86.2s<br>23.90.67.6s<br>28.60.18.6s |","| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 15.01.0<br>9.40.5<br>7.60.4<br>6.80.2<br>6.10.2 | 5.70.53.4ms<br>6.20.410.1ms<br>5.80.623.7ms<br>5.40.543.3ms<br>5.00.063.8ms | 7.40.54.9s<br>6.60.35.8s<br>5.80.36.8s<br>5.20.27.7s<br>5.00.08.5s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 14.71.1<br>9.10.4<br>7.70.2<br>6.80.3<br>6.00.1 | 6.10.34.6ms<br>6.00.615.4ms<br>6.10.334.6ms<br>5.40.565.6ms<br>5.00.099.1ms | 8.00.66.0s<br>6.70.37.2s<br>6.00.28.9s<br>5.30.210.3s<br>5.00.011.6s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 14.00.8<br>9.00.3<br>7.60.3<br>6.70.2<br>6.20.1 | 6.50.56.0ms<br>6.00.422.4ms<br>6.10.349.9ms<br>5.70.595.6ms<br>5.00.0145.4ms | 8.10.67.0s<br>6.70.28.7s<br>6.10.211.1s<br>5.30.112.6s<br>5.00.015.1s |\n| Random<br>χ(G,W)t<br>avgstd | CSC-DSATUR<br>χ(G,W)Timet<br>avgstdavg | PSO<br>χ(G,W)Timet<br>avgstdavg |  |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 8.40.9<br>5.10.4<br>4.10.3<br>3.60.1<br>3.00.0 | 4.20.63.5ms<br>4.00.010.0ms<br>3.50.521.1ms<br>3.00.035.6ms<br>3.00.049.6ms | 5.10.54.6s<br>4.00.35.5s<br>3.30.36.5s<br>3.00.07.3s<br>3.00.08.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 8.20.8<br>5.10.3<br>4.20.2<br>3.50.2<br>3.10.1 | 4.10.54.5ms<br>4.00.014.4ms<br>3.40.532.6ms<br>3.00.052.7ms<br>3.00.074.1ms | 5.20.45.9s<br>4.00.27.2s<br>3.50.38.4s<br>3.00.09.8s<br>3.00.011.1s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 7.80.7<br>5.00.3<br>4.20.2<br>3.40.2<br>3.10.1 | 4.20.45.7ms<br>4.00.020.0ms<br>3.80.445.3ms<br>3.00.076.9ms<br>3.00.0113.4ms | 5.20.46.7s<br>4.10.28.9s<br>3.30.210.7s<br>3.00.012.1s<br>3.00.014.5s |",0]
["| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 6.90.7<br>14.90.7<br>21.61.0<br>27.70.5<br>32.80.5 | 4.10.52.6ms<br>10.90.83.2ms<br>17.81.35.5ms<br>23.40.67.6ms<br>28.80.59.0ms | 5.20.53.6s<br>12.50.55.1s<br>18.30.86.2s<br>23.90.67.6s<br>28.60.18.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 7.70.5<br>17.20.6<br>25.10.7<br>32.20.6<br>38.30.6 | 4.80.62.9ms<br>13.10.94.5ms<br>20.61.48.0ms<br>27.40.910.4ms<br>33.50.812.1ms | 6.00.54.5s<br>14.60.66.5s<br>21.80.68.2s<br>28.20.49.9s<br>33.30.211.4s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 8.50.6<br>19.20.6<br>28.80.7<br>36.20.6<br>44.10.6 | 5.70.93.6ms<br>15.30.76.7ms<br>24.11.510.8ms<br>30.60.713.4ms<br>38.00.515.7ms | 6.80.55.7s<br>16.70.58.3s<br>25.00.411.1s<br>31.70.713.0s<br>38.30.315.6s |\n| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |","| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 5.60.5<br>12.00.4<br>17.00.7<br>21.80.6<br>25.80.3 | 2.20.42.7ms<br>7.50.63.5ms<br>12.70.65.0ms<br>17.10.67.6ms<br>21.50.410.1ms | 3.50.34.2s<br>9.20.45.6s<br>13.80.76.7s<br>18.00.57.7s<br>21.30.18.7s |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 6.30.3<br>13.60.5<br>20.00.5<br>25.90.4<br>30.10.4 | 3.00.43.1ms<br>8.80.94.6ms<br>15.20.77.3ms<br>19.80.810.6ms<br>24.60.413.6ms | 4.40.45.1s<br>10.90.56.9s<br>16.40.38.4s<br>21.30.510.7s<br>25.10.311.5s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 6.90.4<br>15.30.3<br>22.80.4<br>28.80.7<br>34.60.2 | 3.50.33.8ms<br>10.61.05.8ms<br>17.10.99.9ms<br>22.70.813.9ms<br>28.80.717.9ms | 5.20.36.7s<br>12.50.58.4s<br>18.80.511.4s<br>24.20.512.8s<br>28.80.215.2s |",1]
["| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 6.90.7<br>14.90.7<br>21.61.0<br>27.70.5<br>32.80.5 | 4.10.52.6ms<br>10.90.83.2ms<br>17.81.35.5ms<br>23.40.67.6ms<br>28.80.59.0ms | 5.20.53.6s<br>12.50.55.1s<br>18.30.86.2s<br>23.90.67.6s<br>28.60.18.6s |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 7.70.5<br>17.20.6<br>25.10.7<br>32.20.6<br>38.30.6 | 4.80.62.9ms<br>13.10.94.5ms<br>20.61.48.0ms<br>27.40.910.4ms<br>33.50.812.1ms | 6.00.54.5s<br>14.60.66.5s<br>21.80.68.2s<br>28.20.49.9s<br>33.30.211.4s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 8.50.6<br>19.20.6<br>28.80.7<br>36.20.6<br>44.10.6 | 5.70.93.6ms<br>15.30.76.7ms<br>24.11.510.8ms<br>30.60.713.4ms<br>38.00.515.7ms | 6.80.55.7s<br>16.70.58.3s<br>25.00.411.1s<br>31.70.713.0s<br>38.30.315.6s |\n| Random<br>T(G,W)k<br>avgstd | TSC-DSATUR<br>T(G,W)Timek<br>avgstdavg | PSO<br>T(G,W)Timek<br>avgstdavg |  |","| 0.1<br>0.3<br>600.5<br>0.7<br>0.9 | 8.40.9<br>5.10.4<br>4.10.3<br>3.60.1<br>3.00.0 | 4.20.63.5ms<br>4.00.010.0ms<br>3.50.521.1ms<br>3.00.035.6ms<br>3.00.049.6ms | 5.10.54.6s<br>4.00.35.5s<br>3.30.36.5s<br>3.00.07.3s<br>3.00.08.6s |\n| --- | --- | --- | --- |\n| 0.1<br>0.3<br>700.5<br>0.7<br>0.9 | 8.20.8<br>5.10.3<br>4.20.2<br>3.50.2<br>3.10.1 | 4.10.54.5ms<br>4.00.014.4ms<br>3.40.532.6ms<br>3.00.052.7ms<br>3.00.074.1ms | 5.20.45.9s<br>4.00.27.2s<br>3.50.38.4s<br>3.00.09.8s<br>3.00.011.1s |\n| 0.1<br>0.3<br>800.5<br>0.7<br>0.9 | 7.80.7<br>5.00.3<br>4.20.2<br>3.40.2<br>3.10.1 | 4.20.45.7ms<br>4.00.020.0ms<br>3.80.445.3ms<br>3.00.076.9ms<br>3.00.0113.4ms | 5.20.46.7s<br>4.10.28.9s<br>3.30.210.7s<br>3.00.012.1s<br>3.00.014.5s |",0]
["|  | π=0.85 | π=0.15 |\n| --- | --- | --- |\n| TS-SPL(λ=0.85) | 6.2 | 6.2 |\n| CPL-AdS(λ=0.85) | 501.6/354.9 | 842.8/502.3 |\n| PBS-M(λ=0.85) | 31.5 | 77.5 |","| BZ-M(λ=0.85) | 4.9 | 352.5 |\n| --- | --- | --- |\n| NGBS-M(λ=0.85) | 1.4 | 191.2 |\n| SHSSL(λ=0.85) | 6.5 | 6.5 |",1]
["|  | π=0.85 | π=0.15 |\n| --- | --- | --- |\n| TS-SPL(λ=0.85) | 6.2 | 6.2 |\n| CPL-AdS(λ=0.85) | 501.6/354.9 | 842.8/502.3 |\n| PBS-M(λ=0.85) | 31.5 | 77.5 |","| FuncA | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 46.0 | 17.1 | 8.6 |\n| TS-SPL-INF | 55.2(24.3) | 39.1(8.1) | 35.0(4.1) |\n| PBS-M | 55.1(24.2) | 40.3(9.3) | 35.2(4.2) |\n| NGBS-M | 53.4(22.4) | 35.3(4.3) | 32.9(1.9) |\n| BZ-M | 63.8(32.8) | 39.9(8.9) | 33.8(2.8) |\n| SA | 32.4 | 14.8 | 5.4 |\n| ASS | 80.4(49.4) | 38.7(7.7) | 33.5(2.5) |\n| HSSL | 60.4(29.4) | 45.5(14.6) | 35.8(4.8) |\n| SHSSL | 62.8 | 20.2 | 6.7 |\n| CPL-AdS | 162.1(107.9) | 146.3(97.4) | 135.3(90.1) |",0]
["|  | π=0.85 | π=0.15 |\n| --- | --- | --- |\n| TS-SPL(λ=0.85) | 6.2 | 6.2 |\n| CPL-AdS(λ=0.85) | 501.6/354.9 | 842.8/502.3 |","| PBS-M(λ=0.85) | 31.5 | 77.5 |\n| --- | --- | --- |\n| BZ-M(λ=0.85) | 4.9 | 352.5 |\n| NGBS-M(λ=0.85) | 1.4 | 191.2 |\n| SHSSL(λ=0.85) | 6.5 | 6.5 |",1]
["|  | π=0.85 | π=0.15 |\n| --- | --- | --- |\n| TS-SPL(λ=0.85) | 6.2 | 6.2 |\n| CPL-AdS(λ=0.85) | 501.6/354.9 | 842.8/502.3 |","| BZ-M | 63.8(32.8) | 39.9(8.9) | 33.8(2.8) |\n| --- | --- | --- | --- |\n| SA | 32.4 | 14.8 | 5.4 |\n| ASS | 80.4(49.4) | 38.7(7.7) | 33.5(2.5) |\n| HSSL | 60.4(29.4) | 45.5(14.6) | 35.8(4.8) |\n| SHSSL | 62.8 | 20.2 | 6.7 |\n| CPL-AdS | 162.1(107.9) | 146.3(97.4) | 135.3(90.1) |",0]
["| SubjectNo. | MeanError(beat/min) |\n| --- | --- |\n| eFUMI | EMDD |","| subjectA | 0.55±0.57 | 6.75±4.16 |\n| --- | --- | --- |\n| subjectB | 1.07±0.76 | 4.63±2.94 |\n| subjectC | 0.75±0.64 | 4.74±3.91 |\n| subjectD | 0.65±0.72 | 5.61±3.40 |",1]
["| SubjectNo. | MeanError(beat/min) |\n| --- | --- |\n| eFUMI | EMDD |","| Cross-subject |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |\n| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |\n| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |\n| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |\n| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |\n| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |\n| 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |\n| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |\n| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 |",0]
["| SubjectNo. | MeanError(beat/min) |  |\n| --- | --- | --- |\n| eFUMI | EMDD |  |\n| subjectA | 0.55±0.57 | 6.75±4.16 |","| subjectB | 1.07±0.76 | 4.63±2.94 |\n| --- | --- | --- |\n| subjectC | 0.75±0.64 | 4.74±3.91 |\n| subjectD | 0.65±0.72 | 5.61±3.40 |",1]
["| SubjectNo. | MeanError(beat/min) |  |\n| --- | --- | --- |\n| eFUMI | EMDD |  |\n| subjectA | 0.55±0.57 | 6.75±4.16 |","| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |\n| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |\n| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |\n| 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |\n| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |\n| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 |",0]
["| Responses | 171 |\n| --- | --- |\n| Seminalpapers | 166 |\n| Reviewpapers | 148 |\n| Totalpapers | 314 |\n| SeminalinMendeley | 141 |\n| ReviewinMendeley | 125 |\n| TotalinMendeley | 266 |\n| DOIs | 256 |\n| DOIsinWoS | 110 |\n| Authorstotal | 1334 |\n| Uniqueauthornames | 1235 |","| Abstracts | 296 |\n| --- | --- |\n| Citing&citedreferences | 19,401 |",1]
["| Responses | 171 |\n| --- | --- |\n| Seminalpapers | 166 |\n| Reviewpapers | 148 |\n| Totalpapers | 314 |\n| SeminalinMendeley | 141 |\n| ReviewinMendeley | 125 |\n| TotalinMendeley | 266 |\n| DOIs | 256 |\n| DOIsinWoS | 110 |\n| Authorstotal | 1334 |\n| Uniqueauthornames | 1235 |","| Journal | PRAPRBPRCPRDPREPRL |\n| --- | --- |\n| Numberofarticlespublishedin2000 | 1,4584,9948632,0492,2553,123 |\n| Totalnumberofcitationsaccruedbycohort | 17,00549,4177,95926,07214,67570,876 |\n| Fractionofjournalself-citations | 0.740.800.820.910.700.23 |\n| Totalnumberofinﬂation-adjustedcitations | 12,92744,4017,38919,77611,42359,083 |\n| Meaninﬂation-adjustedcitationsperarticle | 8.878.898.569.655.0718.92 |\n| Medianinﬂation-adjustedcitationsperarticle | 4.214.715.014.592.819.99 |",0]
["| Responses | 171 |\n| --- | --- |\n| Seminalpapers | 166 |\n| Reviewpapers | 148 |\n| Totalpapers | 314 |\n| SeminalinMendeley | 141 |","| ReviewinMendeley | 125 |\n| --- | --- |\n| TotalinMendeley | 266 |\n| DOIs | 256 |\n| DOIsinWoS | 110 |\n| Authorstotal | 1334 |\n| Uniqueauthornames | 1235 |\n| Abstracts | 296 |\n| Citing&citedreferences | 19,401 |",1]
["| Responses | 171 |\n| --- | --- |\n| Seminalpapers | 166 |\n| Reviewpapers | 148 |\n| Totalpapers | 314 |\n| SeminalinMendeley | 141 |","| Totalnumberofinﬂation-adjustedcitations | 12,92744,4017,38919,77611,42359,083 |\n| --- | --- |\n| Meaninﬂation-adjustedcitationsperarticle | 8.878.898.569.655.0718.92 |\n| Medianinﬂation-adjustedcitationsperarticle | 4.214.715.014.592.819.99 |",0]
["| GTZAN | 1000 | 10 |\n| --- | --- | --- |\n| GTZAN,Local | 1000,756 | 10,5 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |","| Magnatune,Local | 1515,500 | 10,5 |\n| --- | --- | --- |\n| LatinMusicDatabase | 3169 | 10 |\n| GTZAN,ISMIR04 | 1000,1458 | 10,6 |\n| Local | 500 | 5 |",1]
["| GTZAN | 1000 | 10 |\n| --- | --- | --- |\n| GTZAN,Local | 1000,756 | 10,5 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |","| Singingvoice |  |  |  |\n| --- | --- | --- | --- |\n| Method | GNSDR | GSIR | GSAR |\n| MLRR<br>DRNN<br>ModGD<br>U-Net | 3.85<br>7.45<br>7.50<br>7.43 | 5.63<br>13.08<br>13.73<br>11.79 | 10.70<br>9.68<br>9.45<br>10.42 |\n| SH-1stack<br>SH-2stack<br>SH-4stack | 10.29<br>10.45<br>10.51 | 15.51<br>15.89<br>16.01 | 12.46<br>12.49<br>12.53 |\n| Accompaniments |  |  |  |\n| Method | GNSDR | GSIR | GSAR |\n| MLRR<br>U-Net | 4.19<br>7.45 | 7.80<br>11.43 | 8.22<br>10.41 |\n| SH-1stack<br>SH-2stack<br>SH-4stack | 9.65<br>9.64<br>9.88 | 13.90<br>13.69<br>14.24 | 12.27<br>12.39<br>12.36 |",0]
["| GTZAN | 1000 | 10 |\n| --- | --- | --- |\n| GTZAN,Local | 1000,756 | 10,5 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |\n| Magnatune,Local | 1515,500 | 10,5 |\n| LatinMusicDatabase | 3169 | 10 |","| GTZAN,ISMIR04 | 1000,1458 | 10,6 |\n| --- | --- | --- |\n| Local | 500 | 5 |",1]
["| GTZAN | 1000 | 10 |\n| --- | --- | --- |\n| GTZAN,Local | 1000,756 | 10,5 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |\n| Uspop,Magnatune | 1414,1515 | 6,10 |\n| Magnatune,Local | 1515,500 | 10,5 |\n| LatinMusicDatabase | 3169 | 10 |","| Method | GNSDR | GSIR | GSAR |\n| --- | --- | --- | --- |\n| MLRR<br>U-Net | 4.19<br>7.45 | 7.80<br>11.43 | 8.22<br>10.41 |\n| SH-1stack<br>SH-2stack<br>SH-4stack | 9.65<br>9.64<br>9.88 | 13.90<br>13.69<br>14.24 | 12.27<br>12.39<br>12.36 |",0]
["| Threshold |\n| --- |\n| SoundObject |\n| NANA<br>NANA<br>NANA |","| NANA |\n| --- |\n| 0.1NA<br>0.3NA<br>0.5NA<br>0.7NA<br>0.9NA |\n| NA0.1<br>NA0.3<br>NA0.5<br>NA0.7<br>NA0.9 |\n| 0.50.1<br>0.50.3<br>0.50.5<br>0.50.7<br>0.50.9 |",1]
["| Threshold |\n| --- |\n| SoundObject |\n| NANA<br>NANA<br>NANA |","| Method | mAP | PERR | Hit@1 | gAP |\n| --- | --- | --- | --- | --- |\n| Baseline+rgb+z-norm+l2-norm | 36.84 | 64.38 | 78.62 | 70.31 |\n| Baseline+rgb+pcawhitening+l2-norm | 36.71 | 64.33 | 78.60 | 69.98 |\n| Baseline+rgb+audio+z-norm+l2-norm | 38.61 | 69.28 | 82.75 | 75.83 |\n| BINN+rgb+z-norm+l2-norm | 39.12 | 69.01 | 82.27 | 75.99 |\n| BINN+rgb+pcawhitening+l2-norm | 38.42 | 69.03 | 82.31 | 75.98 |\n| BINN+rgb+audio+z-norm+l2-norm | 40.91 | 72.27 | 84.96 | 79.29 |",0]
["| Threshold |\n| --- |\n| SoundObject |\n| NANA<br>NANA<br>NANA |\n| NANA |","| 0.1NA<br>0.3NA<br>0.5NA<br>0.7NA<br>0.9NA |\n| --- |\n| NA0.1<br>NA0.3<br>NA0.5<br>NA0.7<br>NA0.9 |\n| 0.50.1<br>0.50.3<br>0.50.5<br>0.50.7<br>0.50.9 |",1]
["| Threshold |\n| --- |\n| SoundObject |\n| NANA<br>NANA<br>NANA |\n| NANA |","| BINN+rgb+pcawhitening+l2-norm | 38.42 | 69.03 | 82.31 | 75.98 |\n| --- | --- | --- | --- | --- |\n| BINN+rgb+audio+z-norm+l2-norm | 40.91 | 72.27 | 84.96 | 79.29 |",0]
["|  | TrainingTime(s) | TestingTime(s) |\n| --- | --- | --- |\n| L2PenaltySVMSGD | 0.098s | 0.000s |","| Passive-Aggressive | 0.112s | 0.000s |\n| --- | --- | --- |\n| kNN | 0.003s | 0.059s |\n| BernoulliNaiveBayes | 0.024s | 0.018s |",1]
["|  | TrainingTime(s) | TestingTime(s) |\n| --- | --- | --- |\n| L2PenaltySVMSGD | 0.098s | 0.000s |","| Settings | DHS | DSS | Amulet | Ours |\n| --- | --- | --- | --- | --- |\n| Traintime(h) | – | – | 107 | 22 |\n| Testrate(fps)GPU | 21.4 | 2.1 | 15.4 | 30.2 |\n| Testrate(fps)CPU | 0.095 | 0.054 | 0.082 | 3.51 |\n| Modelsize(MB) | 358 | 237 | 126 | 67 |",0]
["|  | TrainingTime(s) | TestingTime(s) |\n| --- | --- | --- |\n| L2PenaltySVMSGD | 0.098s | 0.000s |\n| Passive-Aggressive | 0.112s | 0.000s |","| kNN | 0.003s | 0.059s |\n| --- | --- | --- |\n| BernoulliNaiveBayes | 0.024s | 0.018s |",1]
["|  | TrainingTime(s) | TestingTime(s) |\n| --- | --- | --- |\n| L2PenaltySVMSGD | 0.098s | 0.000s |\n| Passive-Aggressive | 0.112s | 0.000s |","| Testrate(fps)CPU | 0.095 | 0.054 | 0.082 | 3.51 |\n| --- | --- | --- | --- | --- |\n| Modelsize(MB) | 358 | 237 | 126 | 67 |",0]
["| 4-FaceCount | FaceSequence | DegreeSequence | Count |\n| --- | --- | --- | --- |\n| 4 | 4×4,23×5,1×7 | 36×3,6×4,1×6 | 1 |\n| 37×3,4×4,1×5,1×6 | 1 |  |  |\n| 5 | 5×4,22×5,1×8 | 34×3,9×4 | 8 |\n| 35×3,7×4,1×5 | 20 |  |  |\n| 36×3,5×4,2×5 | 19 |  |  |\n| 37×3,3×4,3×5 | 1 |  |  |\n| 37×3,4×4,1×5,1×6 | 1 |  |  |\n| 5×4,24×5 | 32×3,11×4 | 52 |  |\n| 33×3,9×4,1×5 | 148 |  |  |\n| 34×3,7×4,2×5 | 175 |  |  |\n| 34×3,8×4,1×6 | 2 |  |  |\n| 35×3,5×4,3×5 | 56 |  |  |\n| 35×3,6×4,1×5,1×6 | 6 |  |  |","| 36×3,3×4,4×5 | 1 |  |  |\n| --- | --- | --- | --- |\n| 36×3,4×4,2×5,1×6 | 4 |  |  |\n| 37×3,2×4,3×5,1×6 | 1 |  |  |\n| 37×3,3×4,1×5,2×6 | 1 |  |  |\n| All | All | All | 497 |",1]
["| 4-FaceCount | FaceSequence | DegreeSequence | Count |\n| --- | --- | --- | --- |\n| 4 | 4×4,23×5,1×7 | 36×3,6×4,1×6 | 1 |\n| 37×3,4×4,1×5,1×6 | 1 |  |  |\n| 5 | 5×4,22×5,1×8 | 34×3,9×4 | 8 |\n| 35×3,7×4,1×5 | 20 |  |  |\n| 36×3,5×4,2×5 | 19 |  |  |\n| 37×3,3×4,3×5 | 1 |  |  |\n| 37×3,4×4,1×5,1×6 | 1 |  |  |\n| 5×4,24×5 | 32×3,11×4 | 52 |  |\n| 33×3,9×4,1×5 | 148 |  |  |\n| 34×3,7×4,2×5 | 175 |  |  |\n| 34×3,8×4,1×6 | 2 |  |  |\n| 35×3,5×4,3×5 | 56 |  |  |\n| 35×3,6×4,1×5,1×6 | 6 |  |  |","| 0 | - | - | - | - | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |\n| 2 | 1 | 2 | 1 | 2 | 2 | 2 | 2 | 2 | 2 |\n| 3 | 1 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |\n| 4 | 1 | 2 | 3 | 4 | 4 | 4 | 4 | 8 | 8 |\n| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["| 4-FaceCount | FaceSequence | DegreeSequence | Count |\n| --- | --- | --- | --- |\n| 4 | 4×4,23×5,1×7 | 36×3,6×4,1×6 | 1 |\n| 37×3,4×4,1×5,1×6 | 1 |  |  |\n| 5 | 5×4,22×5,1×8 | 34×3,9×4 | 8 |\n| 35×3,7×4,1×5 | 20 |  |  |\n| 36×3,5×4,2×5 | 19 |  |  |\n| 37×3,3×4,3×5 | 1 |  |  |","| 37×3,4×4,1×5,1×6 | 1 |  |  |\n| --- | --- | --- | --- |\n| 5×4,24×5 | 32×3,11×4 | 52 |  |\n| 33×3,9×4,1×5 | 148 |  |  |\n| 34×3,7×4,2×5 | 175 |  |  |\n| 34×3,8×4,1×6 | 2 |  |  |\n| 35×3,5×4,3×5 | 56 |  |  |\n| 35×3,6×4,1×5,1×6 | 6 |  |  |\n| 36×3,3×4,4×5 | 1 |  |  |\n| 36×3,4×4,2×5,1×6 | 4 |  |  |\n| 37×3,2×4,3×5,1×6 | 1 |  |  |\n| 37×3,3×4,1×5,2×6 | 1 |  |  |\n| All | All | All | 497 |",1]
["| 4-FaceCount | FaceSequence | DegreeSequence | Count |\n| --- | --- | --- | --- |\n| 4 | 4×4,23×5,1×7 | 36×3,6×4,1×6 | 1 |\n| 37×3,4×4,1×5,1×6 | 1 |  |  |\n| 5 | 5×4,22×5,1×8 | 34×3,9×4 | 8 |\n| 35×3,7×4,1×5 | 20 |  |  |\n| 36×3,5×4,2×5 | 19 |  |  |\n| 37×3,3×4,3×5 | 1 |  |  |","| 4,5 | 1 | 2 | 3 | 4 | 5 | 4 | 5 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4,6 | 1 | 2 | 3 | 4,6 | 4,6 | 4,6 | 4,6 | 8 | 8 |\n| 4,5,6,7 | 1 | 2 | 3 | 4,6 | 5,7 | 4,6 | 5,7 | 8 | 9 |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083847726±0.004951031 | 0.083431054±0.001784843 |\n| 2 | 0.188976794 | 0.188976856 | 0.189757389±0.008688261 | 0.188963523±0.003113784 |\n| 3 | 0.323793458 | 0.323793385 | 0.324344385±0.008153945 | 0.323768419±0.002991134 |\n| 4 | 0.303363752 | 0.303363594 | 0.302252763±0.008952148 | 0.303332755±0.003156650 |","| 5 | 0.095303269 | 0.095303242 | 0.094714212±0.009595910 | 0.095374789±0.003633155 |\n| --- | --- | --- | --- | --- |\n| 6 | 0.005092100 | 0.005092104 | 0.005069262±0.001446734 | 0.005116963±0.000521156 |\n| 7 | 0.000012417 | 0.000012417 | 0.000014264±0.000041576 | 0.000012496±0.000014498 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083847726±0.004951031 | 0.083431054±0.001784843 |\n| 2 | 0.188976794 | 0.188976856 | 0.189757389±0.008688261 | 0.188963523±0.003113784 |\n| 3 | 0.323793458 | 0.323793385 | 0.324344385±0.008153945 | 0.323768419±0.002991134 |\n| 4 | 0.303363752 | 0.303363594 | 0.302252763±0.008952148 | 0.303332755±0.003156650 |","| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083621434±0.004965813 | 0.083429753±0.001831579 |\n| 2 | 0.188976794 | 0.188976856 | 0.189157158±0.008679919 | 0.189075507±0.003140080 |\n| 3 | 0.323793458 | 0.323793385 | 0.323707145±0.008193784 | 0.323798214±0.003014369 |\n| 4 | 0.303363752 | 0.303363594 | 0.302934079±0.008740126 | 0.303259705±0.003202237 |\n| 5 | 0.095303269 | 0.095303242 | 0.095385891±0.009795472 | 0.095321415±0.003651414 |\n| 6 | 0.005092100 | 0.005092104 | 0.005182087±0.001441913 | 0.005103134±0.000523627 |\n| 7 | 0.000012417 | 0.000012417 | 0.000012208±0.000039393 | 0.000012271±0.000014530 |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083847726±0.004951031 | 0.083431054±0.001784843 |\n| 2 | 0.188976794 | 0.188976856 | 0.189757389±0.008688261 | 0.188963523±0.003113784 |\n| 3 | 0.323793458 | 0.323793385 | 0.324344385±0.008153945 | 0.323768419±0.002991134 |\n| 4 | 0.303363752 | 0.303363594 | 0.302252763±0.008952148 | 0.303332755±0.003156650 |","| 5 | 0.095303269 | 0.095303242 | 0.094714212±0.009595910 | 0.095374789±0.003633155 |\n| --- | --- | --- | --- | --- |\n| 6 | 0.005092100 | 0.005092104 | 0.005069262±0.001446734 | 0.005116963±0.000521156 |\n| 7 | 0.000012417 | 0.000012417 | 0.000014264±0.000041576 | 0.000012496±0.000014498 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Celis<br>Theorem | Sims<br>n=8192 | Sims<br>n=65536 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.083458328 | 0.083458403 | 0.083847726±0.004951031 | 0.083431054±0.001784843 |\n| 2 | 0.188976794 | 0.188976856 | 0.189757389±0.008688261 | 0.188963523±0.003113784 |\n| 3 | 0.323793458 | 0.323793385 | 0.324344385±0.008153945 | 0.323768419±0.002991134 |\n| 4 | 0.303363752 | 0.303363594 | 0.302252763±0.008952148 | 0.303332755±0.003156650 |","| 6 | 0.005092100 | 0.005092104 | 0.005182087±0.001441913 | 0.005103134±0.000523627 |\n| --- | --- | --- | --- | --- |\n| 7 | 0.000012417 | 0.000012417 | 0.000012208±0.000039393 | 0.000012271±0.000014530 |",0]
["| FullupdatewithoutGeStore | 833minutes |\n| --- | --- |\n| FullupdatewithGeStore | 965minutes |\n| FullupdatewithGeStore,cachedDB | 859minutes |","| 1-monthincrementalupdate | 61minutes |\n| --- | --- |\n| 4-monthincrementalupdate | 99minutes |",1]
["| FullupdatewithoutGeStore | 833minutes |\n| --- | --- |\n| FullupdatewithGeStore | 965minutes |\n| FullupdatewithGeStore,cachedDB | 859minutes |","| Add201409UniProtKB | 182minutes |\n| --- | --- |\n| Updateto201410UniProtKB | 144minutes |\n| RetrieveUniProtKB | 36minutes |\n| RetrievecachedUniProtKB | 12minutes |\n| RetrieveincrementalUniProtKB | 5minutes |\n| RetrievecachedincrementalUniProtKB | 26seconds |",0]
["| FullupdatewithoutGeStore | 833minutes |\n| --- | --- |\n| FullupdatewithGeStore | 965minutes |","| FullupdatewithGeStore,cachedDB | 859minutes |\n| --- | --- |\n| 1-monthincrementalupdate | 61minutes |\n| 4-monthincrementalupdate | 99minutes |",1]
["| FullupdatewithoutGeStore | 833minutes |\n| --- | --- |\n| FullupdatewithGeStore | 965minutes |","| RetrievecachedUniProtKB | 12minutes |\n| --- | --- |\n| RetrieveincrementalUniProtKB | 5minutes |\n| RetrievecachedincrementalUniProtKB | 26seconds |",0]
["| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |","| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| --- | --- | --- | --- | --- |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",1]
["| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |","| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |\n| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |\n| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |\n| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |\n| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |","| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| --- | --- | --- | --- | --- |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",1]
["| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |","| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |\n| --- | --- | --- | --- | --- | --- |\n| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |\n| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["| Architecture | Type | Accuracy |\n| --- | --- | --- |\n| Cifar[21] | Character | 98.60 |\n| Cifar[21] | vattu | 95.46 |\n| Lenet[22] | Character | 98.62 |\n| Lenet[22] | vattu | 95.59 |","| Ours | Character | 98.74 |\n| --- | --- | --- |\n| Ours | vattu | 96.10 |",1]
["| Architecture | Type | Accuracy |\n| --- | --- | --- |\n| Cifar[21] | Character | 98.60 |\n| Cifar[21] | vattu | 95.46 |\n| Lenet[22] | Character | 98.62 |\n| Lenet[22] | vattu | 95.59 |","| Architecture | #classes | STL-10 | CIFAR-10(400) | CIFAR-10 | Caltech-101 |\n| --- | --- | --- | --- | --- | --- |\n| 32c5-32c5-64f | 8000 | 63.8±0.4 | 66.1±0.4 | 71.3 | 78.2±0.6 |\n| 64c5-64c5-128f | 8000 | 67.1±0.3 | 69.7±0.3 | 75.7 | 79.8±0.5 |\n| 64c7-64c5-128f | 8000 | 66.3±0.4 | 69.5±0.3 | 75.0 | 79.4±0.7 |\n| 64c5-64c5-64c5-128f | 8000 | 68.5±0.3 | 70.9±0.3 | 77.0 | 82.2±0.7 |\n| 64c5-64c5-64c5-64c5-128f | 8000 | 64.7±0.5 | 67.5±0.3 | 75.2 | 75.7±0.4 |\n| 128c5-64c5-128f | 8000 | 67.2±0.4 | 69.9±0.2 | 76.1 | 80.1±0.5 |\n| 64c5-256c5-128f | 8000 | 69.2±0.3 | 71.7±0.3 | 77.9 | 81.6±0.5 |\n| 64c5-64c5-512f | 8000 | 69.0±0.4 | 71.7±0.2 | 79.3 | 82.9±0.4 |\n| 128c5-256c5-512f | 8000 | 71.2±0.3 | 73.9±0.3 | 81.5 | 84.3±0.6 |\n| 128c5-256c5-512f | 16000 | 71.9±0.3 | 74.3±0.3 | 81.4 | 84.6±0.6 |\n| 64c5-128c5-256c5-512f | 16000 | 72.8±0.4 | 75.3±0.3 | 82.0 | 85.5±0.4 |\n| 92c5-256c5-512c5-1024f | 16000 | 73.9±0.4 | 76.0±0.2 | 83.6 | 86.9±0.6 |",0]
["| Architecture | Type | Accuracy |\n| --- | --- | --- |\n| Cifar[21] | Character | 98.60 |","| Cifar[21] | vattu | 95.46 |\n| --- | --- | --- |\n| Lenet[22] | Character | 98.62 |\n| Lenet[22] | vattu | 95.59 |\n| Ours | Character | 98.74 |\n| Ours | vattu | 96.10 |",1]
["| Architecture | Type | Accuracy |\n| --- | --- | --- |\n| Cifar[21] | Character | 98.60 |","| 128c5-64c5-128f | 8000 | 67.2±0.4 | 69.9±0.2 | 76.1 | 80.1±0.5 |\n| --- | --- | --- | --- | --- | --- |\n| 64c5-256c5-128f | 8000 | 69.2±0.3 | 71.7±0.3 | 77.9 | 81.6±0.5 |\n| 64c5-64c5-512f | 8000 | 69.0±0.4 | 71.7±0.2 | 79.3 | 82.9±0.4 |\n| 128c5-256c5-512f | 8000 | 71.2±0.3 | 73.9±0.3 | 81.5 | 84.3±0.6 |\n| 128c5-256c5-512f | 16000 | 71.9±0.3 | 74.3±0.3 | 81.4 | 84.6±0.6 |\n| 64c5-128c5-256c5-512f | 16000 | 72.8±0.4 | 75.3±0.3 | 82.0 | 85.5±0.4 |\n| 92c5-256c5-512c5-1024f | 16000 | 73.9±0.4 | 76.0±0.2 | 83.6 | 86.9±0.6 |",0]
["| Parameter | RangeofParameter |\n| --- | --- |\n| InlineRange | [100−750] |","| CrosslineRange | [300−1250] |\n| --- | --- |\n| ZRange | [0−1848] |\n| Size(km) | [24∗16] |",1]
["| Parameter | RangeofParameter |\n| --- | --- |\n| InlineRange | [100−750] |","| Parameter | Value |\n| --- | --- |\n| k(BM25parameter) | 2.8 |\n| b(LeftBound)1 | 2.9 |\n| b(RightBound)2 | 3.7 |\n| B(Growthparameter)1 | 1 |\n| B(Growthparameter)2 | 1 |\n| c(Troughcurvature) | 0.5 |",0]
["| Parameter | RangeofParameter |\n| --- | --- |\n| InlineRange | [100−750] |","| CrosslineRange | [300−1250] |\n| --- | --- |\n| ZRange | [0−1848] |\n| Size(km) | [24∗16] |",1]
["| Parameter | RangeofParameter |\n| --- | --- |\n| InlineRange | [100−750] |","| B(Growthparameter)1 | 1 |\n| --- | --- |\n| B(Growthparameter)2 | 1 |\n| c(Troughcurvature) | 0.5 |",0]
["|  | densesampling | keypointsampling |\n| --- | --- | --- |\n| SURF | 84.8485 | 76.431 |\n| RGB+SURF | 86.1953 | 79.1245 |","| HSV+SURF | 84.1751 | 85.1064 |\n| --- | --- | --- |\n| LAB+SURF | 92.2559 | 84.8484 |\n| YUV+SURF | 85.1852 | 80.4713 |",1]
["|  | densesampling | keypointsampling |\n| --- | --- | --- |\n| SURF | 84.8485 | 76.431 |\n| RGB+SURF | 86.1953 | 79.1245 |","| Datasets | RGB-hist | HOG | RIFT | SIFT | SURF | Proposed |\n| --- | --- | --- | --- | --- | --- | --- |\n| VideoPose2 | 1.0173 | 1.1166 | 1.1147 | 0.2277 | 1.5360 | 0.1901 |\n| PosesintheWild | 1.0527 | 1.1011 | 1.1848 | 0.2365 | 1.5469 | 0.1993 |\n| ICDPose | 1.8711 | 1.6978 | 1.8157 | 0.5040 | 2.7237 | 0.4396 |\n| OutdoorPose | 1.7909 | 1.6121 | 1.7402 | 0.4144 | 2.5802 | 0.3527 |",0]
["|  | densesampling | keypointsampling |\n| --- | --- | --- |\n| SURF | 84.8485 | 76.431 |\n| RGB+SURF | 86.1953 | 79.1245 |","| HSV+SURF | 84.1751 | 85.1064 |\n| --- | --- | --- |\n| LAB+SURF | 92.2559 | 84.8484 |\n| YUV+SURF | 85.1852 | 80.4713 |",1]
["|  | densesampling | keypointsampling |\n| --- | --- | --- |\n| SURF | 84.8485 | 76.431 |\n| RGB+SURF | 86.1953 | 79.1245 |","| ICDPose | 1.8711 | 1.6978 | 1.8157 | 0.5040 | 2.7237 | 0.4396 |\n| --- | --- | --- | --- | --- | --- | --- |\n| OutdoorPose | 1.7909 | 1.6121 | 1.7402 | 0.4144 | 2.5802 | 0.3527 |",0]
["| #ofcalls |\n| --- |\n| 2 |\n| 1 |\n| 2 |\n| 2 |","| 1 |\n| --- |\n|  |",1]
["| #ofcalls |\n| --- |\n| 2 |\n| 1 |\n| 2 |\n| 2 |","| No. |\n| --- |\n| 1 |\n| 2 |\n| 3 |\n| 4 |\n| 5 |",0]
["| #ofcalls |\n| --- |\n| 2 |\n| 1 |\n| 2 |","| 2 |\n| --- |\n| 1 |\n|  |",1]
["| #ofcalls |\n| --- |\n| 2 |\n| 1 |\n| 2 |","| 3 |\n| --- |\n| 4 |\n| 5 |",0]
["| RunningTime |\n| --- |\n| 12.86s |\n| 18.22s |","| 4.20s |\n| --- |\n| 2.55s |",1]
["| RunningTime |\n| --- |\n| 12.86s |\n| 18.22s |","| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |\n| 3.175 |\n| 1.113 |",0]
["| RunningTime |\n| --- |\n| 12.86s |","| 18.22s |\n| --- |\n| 4.20s |\n| 2.55s |",1]
["| RunningTime |\n| --- |\n| 12.86s |","| 4.572 |\n| --- |\n| 3.175 |\n| 1.113 |",0]
["| PLANTED | l<ld | l<l<lds | l<l<lsl | l<ll |\n| --- | --- | --- | --- | --- |\n| BP,randominit. | converges | converges | converges | converges |\n| BPﬁxedpoint | uniform | uniform | uniform | planted |","| BP,plantedinit. | converges | converges | converges | converges |\n| --- | --- | --- | --- | --- |\n| BPﬁxedpoint | uniform | planted | planted | planted |\n| #ofsolutions | exponential | exponential | one/two | one/two |\n| ﬁndingsolution | easy | hard | hard | easy |\n| reconstruction | notpossible | possible | possible | possible |\n| robustrecons. | notpossible | notpossible | notpossible | possible |",1]
["| PLANTED | l<ld | l<l<lds | l<l<lsl | l<ll |\n| --- | --- | --- | --- | --- |\n| BP,randominit. | converges | converges | converges | converges |\n| BPﬁxedpoint | uniform | uniform | uniform | planted |","| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| PLANTED | l<ld | l<l<lds | l<l<lsl | l<ll |\n| --- | --- | --- | --- | --- |\n| BP,randominit. | converges | converges | converges | converges |\n| BPﬁxedpoint | uniform | uniform | uniform | planted |\n| BP,plantedinit. | converges | converges | converges | converges |\n| BPﬁxedpoint | uniform | planted | planted | planted |\n| #ofsolutions | exponential | exponential | one/two | one/two |\n| ﬁndingsolution | easy | hard | hard | easy |","| reconstruction | notpossible | possible | possible | possible |\n| --- | --- | --- | --- | --- |\n| robustrecons. | notpossible | notpossible | notpossible | possible |",1]
["| PLANTED | l<ld | l<l<lds | l<l<lsl | l<ll |\n| --- | --- | --- | --- | --- |\n| BP,randominit. | converges | converges | converges | converges |\n| BPﬁxedpoint | uniform | uniform | uniform | planted |\n| BP,plantedinit. | converges | converges | converges | converges |\n| BPﬁxedpoint | uniform | planted | planted | planted |\n| #ofsolutions | exponential | exponential | one/two | one/two |\n| ﬁndingsolution | easy | hard | hard | easy |","| Permutation | Θ(n) | NP-c | open |  |\n| --- | --- | --- | --- | --- |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| ID | LandCoverClass | N.ofPixels |\n| --- | --- | --- |\n| (1) | Urbanareas | 10000 |\n| (2) | Otherbuilt-upsurfaces | 1500 |","| (3) | Forests | 10000 |\n| --- | --- | --- |\n| (4) | SparseVegetation | 5095 |\n| (5) | Rocksandbaresoil | 3729 |\n| (6) | Grassland | 1744 |\n| (7) | Sugarcanecrops | 2832 |\n| (8) | Othercrops | 1500 |\n| (9) | Water | 1500 |",1]
["| ID | LandCoverClass | N.ofPixels |\n| --- | --- | --- |\n| (1) | Urbanareas | 10000 |\n| (2) | Otherbuilt-upsurfaces | 1500 |","| Dataset | \\|Triples\\| | \\|Predicates\\| | MK-tree | IK-tree | RDF-3X |\n| --- | --- | --- | --- | --- | --- |\n| Jamendo | 1,049,639 | 28 | 0.74 | 0.74 | 37.73 |\n| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |\n| Geonames | 112,235,492 | 26 | 152.20 | 156.01 | 3,584.80 |\n| DBpedia | 232,542,405 | 39,672 | 931.44 | 788.19 | 9,757.58 |",0]
["| ID | LandCoverClass | N.ofPixels |\n| --- | --- | --- |\n| (1) | Urbanareas | 10000 |\n| (2) | Otherbuilt-upsurfaces | 1500 |","| (3) | Forests | 10000 |\n| --- | --- | --- |\n| (4) | SparseVegetation | 5095 |\n| (5) | Rocksandbaresoil | 3729 |\n| (6) | Grassland | 1744 |\n| (7) | Sugarcanecrops | 2832 |\n| (8) | Othercrops | 1500 |\n| (9) | Water | 1500 |",1]
["| ID | LandCoverClass | N.ofPixels |\n| --- | --- | --- |\n| (1) | Urbanareas | 10000 |\n| (2) | Otherbuilt-upsurfaces | 1500 |","| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |\n| --- | --- | --- | --- | --- | --- |\n| Geonames | 112,235,492 | 26 | 152.20 | 156.01 | 3,584.80 |\n| DBpedia | 232,542,405 | 39,672 | 931.44 | 788.19 | 9,757.58 |",0]
["| CS |\n| --- |\n| 38.6 |","| 50.1 |\n| --- |\n| 60.2 |\n| 59.1 |\n| 62.9 |\n| 69.2 |\n| 73.4 |\n| 74.4 |\n| 74.6 |\n| 79.6 |\n| 80.0 |\n| 77.0 |\n| 79.8 |\n| 87.9 |\n| 88.4 |\n| 89.1 |",1]
["| CS |\n| --- |\n| 38.6 |","| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| CS |\n| --- |\n| 38.6 |","| 50.1 |\n| --- |\n| 60.2 |\n| 59.1 |\n| 62.9 |\n| 69.2 |\n| 73.4 |\n| 74.4 |\n| 74.6 |\n| 79.6 |\n| 80.0 |\n| 77.0 |\n| 79.8 |\n| 87.9 |\n| 88.4 |\n| 89.1 |",1]
["| CS |\n| --- |\n| 38.6 |","| - | - | - |\n| --- | --- | --- |\n| 0.494 | - | 0.631 |",0]
["| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |","| boy | girl | 0.089 | 0.804 | 0.863 |\n| --- | --- | --- | --- | --- |\n| mother | father | 0.613 | 0.829 | 0.849 |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",1]
["| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |","| Classes | NumberofImages | PercentofDataset |\n| --- | --- | --- |\n| Chores | 725 | 1.79 |\n| Driving | 1031 | 2.54 |\n| Cooking | 759 | 1.87 |\n| Exercising | 502 | 1.24 |\n| Reading | 1414 | 3.48 |\n| Presentation | 848 | 2.09 |\n| Dogs | 1149 | 2.83 |\n| Resting | 106 | 0.26 |\n| Eating | 4699 | 11.58 |\n| Working | 13895 | 34.24 |\n| Chatting | 113 | 0.28 |\n| TV | 1584 | 3.90 |\n| Meeting | 1312 | 3.23 |\n| Cleaning | 642 | 1.59 |\n| Socializing | 970 | 2.39 |\n| Shopping | 606 | 1.49 |\n| Biking | 696 | 1.71 |\n| Family | 8267 | 20.37 |\n| Hygiene | 1266 | 3.12 |",0]
["| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |","| mother | father | 0.613 | 0.829 | 0.849 |\n| --- | --- | --- | --- | --- |\n| national | international | 0.687 | 0.650 | 0.687 |\n| library | books | 0.435 | 0.566 | 0.560 |",1]
["| Word1 | Word2 | Sci.med | Pretrained | WordNet |\n| --- | --- | --- | --- | --- |\n| school | children | 0.034 | 0.462 | 0.463 |\n| university | students | 0.275 | 0.425 | 0.435 |\n| company | industry | 0.0434 | 0.524 | 0.520 |\n| boy | girl | 0.089 | 0.804 | 0.863 |","| Cleaning | 642 | 1.59 |\n| --- | --- | --- |\n| Socializing | 970 | 2.39 |\n| Shopping | 606 | 1.49 |\n| Biking | 696 | 1.71 |\n| Family | 8267 | 20.37 |\n| Hygiene | 1266 | 3.12 |",0]
["| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |","| 3.175 |\n| --- |\n| 1.113 |",1]
["| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |","| K | Time(seconds) |\n| --- | --- |\n| 100 | 7.898881 |\n| 200 | 12.972909 |\n| 300 | 17.126809 |\n| 400 | 20.611251 |\n| 500 | 23.639403 |\n| 600 | 45.750178 |\n| 700 | 33.864268 |\n| 800 | 55.053441 |\n| 900 | 74.374957 |\n| 1000 | 52.925832 |",0]
["| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |","| 3.175 |\n| --- |\n| 1.113 |",1]
["| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |","| 700 | 33.864268 |\n| --- | --- |\n| 800 | 55.053441 |\n| 900 | 74.374957 |\n| 1000 | 52.925832 |",0]
["| WSJ10test |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |\n| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |","| 64.5 | 82.6 | 72.4 | 53.0 | 70.5 |\n| --- | --- | --- | --- | --- |\n| 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |",1]
["| WSJ10test |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |\n| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |","| WSJ10 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |\n| 75.3<br>74.6 | 76.1<br>66.7 | 75.7<br>70.5 | 58.7<br>60.0 | 55.9<br>49.4 |\n| 65.5 | 83.6 | 73.4 | 47.0 | 63.6 |\n| 55.2 | 70.0 | 61.7 | 35.4 | 47.4 |",0]
["| WSJ10test |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |\n| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |","| 64.5 | 82.6 | 72.4 | 53.0 | 70.5 |\n| --- | --- | --- | --- | --- |\n| 55.1 | 70.5 | 61.8 | 41.5 | 55.3 |",1]
["| WSJ10test |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Precision | Recall | F1 | Precision | Recall |\n| 63.4<br>54.7<br>49.1<br>36.2<br>57.1 | 71.9<br>48.3<br>63.4<br>40.6<br>54.4 | 67.4<br>51.3<br>55.3<br>38.2<br>55.7 | 60.1<br>47.8<br>-<br>25.3<br>- | 61.7<br>40.5<br>-<br>29.0<br>- |","| 65.5 | 83.6 | 73.4 | 47.0 | 63.6 |\n| --- | --- | --- | --- | --- |\n| 55.2 | 70.0 | 61.7 | 35.4 | 47.4 |",0]
["| Signal | linear | 2-thorder | 3-thorder |\n| --- | --- | --- | --- |\n| CHIRP | 2.32E−05 | 2.25E−05 | 2.10E−05 |","| 20Hz | 7.16E−05 | 6.96E−05 | 6.62E−05 |\n| --- | --- | --- | --- |\n| 50Hz | 5.33E−04 | 0.000535 | 0.00053928 |\n| 70Hz | 0.0001184 | 0.0001142 | 0.0001132 |\n| MULTISINE6 | 0.0003404 | 0.000340 | 0.0003391 |\n| MULTISINE3 | 0.0023386 | 0.0022054 | 0.0020482 |",1]
["| Signal | linear | 2-thorder | 3-thorder |\n| --- | --- | --- | --- |\n| CHIRP | 2.32E−05 | 2.25E−05 | 2.10E−05 |","| Signal | OutputRange |\n| --- | --- |\n| CHIRP | [-0.21,0.27] |\n| 20Hz | [-0.05,0.05] |\n| 50Hz | [-0.17,0.17] |\n| 70Hz | [-0.19,0.19] |\n| MULTISINE6 | [-0.34,0.62] |\n| MULTISINE3 | [-0.45,0.58] |",0]
["| Signal | linear | 2-thorder | 3-thorder |\n| --- | --- | --- | --- |\n| CHIRP | 2.32E−05 | 2.25E−05 | 2.10E−05 |\n| 20Hz | 7.16E−05 | 6.96E−05 | 6.62E−05 |\n| 50Hz | 5.33E−04 | 0.000535 | 0.00053928 |\n| 70Hz | 0.0001184 | 0.0001142 | 0.0001132 |","| MULTISINE6 | 0.0003404 | 0.000340 | 0.0003391 |\n| --- | --- | --- | --- |\n| MULTISINE3 | 0.0023386 | 0.0022054 | 0.0020482 |",1]
["| Signal | linear | 2-thorder | 3-thorder |\n| --- | --- | --- | --- |\n| CHIRP | 2.32E−05 | 2.25E−05 | 2.10E−05 |\n| 20Hz | 7.16E−05 | 6.96E−05 | 6.62E−05 |\n| 50Hz | 5.33E−04 | 0.000535 | 0.00053928 |\n| 70Hz | 0.0001184 | 0.0001142 | 0.0001132 |","| 20Hz | [-0.05,0.05] |\n| --- | --- |\n| 50Hz | [-0.17,0.17] |\n| 70Hz | [-0.19,0.19] |\n| MULTISINE6 | [-0.34,0.62] |\n| MULTISINE3 | [-0.45,0.58] |",0]
["| Features |\n| --- |\n| Static<br>Dynamic |","| Static<br>Dynamic |\n| --- |\n| Static<br>Dynamic |\n| Static<br>Dynamic |",1]
["| Features |\n| --- |\n| Static<br>Dynamic |","| Feature | WER |\n| --- | --- |\n| MelFB | 21.9 |\n| VTLN-warpedmelFB | 21.3 |\n| VTLN-warpedmelFB+fMLLR | 21.2 |\n| VTLN-warpedmelFB+d+dd | 20.7 |\n| VTLN-warpedmelFB+d+dd+energy | 21.0 |",0]
["| Features |\n| --- |\n| Static<br>Dynamic |\n| Static<br>Dynamic |","| Static<br>Dynamic |\n| --- |\n| Static<br>Dynamic |",1]
["| Features |\n| --- |\n| Static<br>Dynamic |\n| Static<br>Dynamic |","| VTLN-warpedmelFB+d+dd | 20.7 |\n| --- | --- |\n| VTLN-warpedmelFB+d+dd+energy | 21.0 |",0]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |","| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| --- |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |","| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |\n| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",0]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |","| -classe1850(attendus=169,ramenes=125.00,corrects=8.00)<br>rappel=0.047precision=0.064f-mesure=0.054 |\n| --- |\n| -classe1860(attendus=170,ramenes=95.00,corrects=5.00)<br>rappel=0.029precision=0.053f-mesure=0.038 |\n| -classe1870(attendus=169,ramenes=100.00,corrects=8.00)<br>rappel=0.047precision=0.080f-mesure=0.059 |\n| -classe1880(attendus=169,ramenes=157.00,corrects=14.00)<br>rappel=0.083precision=0.089f-mesure=0.086 |\n| -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |\n| -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |\n| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |\n| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |\n| -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |\n| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",1]
["| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |\n| --- |\n| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |\n| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |\n| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |\n| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |","| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |\n| --- |\n| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 |",0]
["| Machines | States | Events |\n| --- | --- | --- |\n| dk15 | 4 | 8 |\n| bbara | 10 | 16 |\n| mc | 4 | 8 |\n| lion | 4 | 4 |","| bbtas | 6 | 4 |\n| --- | --- | --- |\n| tav | 4 | 16 |\n| modulo12 | 12 | 2 |\n| beecount | 7 | 8 |\n| shiftreg | 8 | 2 |",1]
["| Machines | States | Events |\n| --- | --- | --- |\n| dk15 | 4 | 8 |\n| bbara | 10 | 16 |\n| mc | 4 | 8 |\n| lion | 4 | 4 |","| n=50 | n=100 | n=200 |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | max. |  |  |  |  |  |  |  |\n| h | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.02 | 0 | 0.01 | 0 | 0.02 | 0 | 0.02 | 2 |\n| 2 | 0 | 0.01 | 0 | 0 | 0 | 0.04 | 0 | 0.02 | 0 | 0.05 | 0 | 0.03 | 6 |\n| 3 | 0 | 0.01 | 0 | 0 | 0.01 | 0.01 | 0 | 0.02 | 0.01 | 0.02 | 0.01 | 0.06 | 24 |\n| 4 | 0.02 | 0.04 | 0.01 | 0.01 | 0.04 | 0.06 | 0.02 | 0.03 | 0.08 | 0.11 | 0.04 | 0.06 | 112 |\n| 5 | 0.12 | 0.18 | 0.05 | 0.08 | 0.27 | 0.33 | 0.12 | 0.18 | 0.51 | 0.65 | 0.27 | 0.4 | 568 |\n| 6 | 0.76 | 1.09 | 0.26 | 0.42 | 1.72 | 2.52 | 0.78 | 1.23 | 3.56 | 4.84 | 1.78 | 2.73 | 3032 |\n| 7 | 4.67 | 8.13 | 1.32 | 3.38 | 12.18 | 16.27 | 4.93 | 7.17 | 25.71 | 27.89 | 13.45 | 15.06 | 16768 |\n| 8 | 42.18 | 72.01 | 7.66 | 19.74 | 114.11 | 136.28 | 50.78 | 69.6 | 242.49 | 269.56 | 116.55 | 131.73 | 95200 |",0]
["| Machines | States | Events |\n| --- | --- | --- |\n| dk15 | 4 | 8 |\n| bbara | 10 | 16 |\n| mc | 4 | 8 |","| lion | 4 | 4 |\n| --- | --- | --- |\n| bbtas | 6 | 4 |\n| tav | 4 | 16 |\n| modulo12 | 12 | 2 |\n| beecount | 7 | 8 |\n| shiftreg | 8 | 2 |",1]
["| Machines | States | Events |\n| --- | --- | --- |\n| dk15 | 4 | 8 |\n| bbara | 10 | 16 |\n| mc | 4 | 8 |","| 5 | 0.12 | 0.18 | 0.05 | 0.08 | 0.27 | 0.33 | 0.12 | 0.18 | 0.51 | 0.65 | 0.27 | 0.4 | 568 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 0.76 | 1.09 | 0.26 | 0.42 | 1.72 | 2.52 | 0.78 | 1.23 | 3.56 | 4.84 | 1.78 | 2.73 | 3032 |\n| 7 | 4.67 | 8.13 | 1.32 | 3.38 | 12.18 | 16.27 | 4.93 | 7.17 | 25.71 | 27.89 | 13.45 | 15.06 | 16768 |\n| 8 | 42.18 | 72.01 | 7.66 | 19.74 | 114.11 | 136.28 | 50.78 | 69.6 | 242.49 | 269.56 | 116.55 | 131.73 | 95200 |",0]
["| domainindex | domain1 | domain2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| classindex | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 |\n| x | (1,0.3) | (2,0.3) | (3,0.3) | (3.5,0.3) | (4.5,0.3) | (5.5,0.3) | (8,0.3) | (9.5,0.3) |","| y | (2,0.3) | (1,0.3) | (2,0.3) | (2.5,0.3) | (1.5,0.3) | (2.5,0.3) | (2.5,0.3) | (1.5,0.3) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #samples | 30 | 20 | 30 | 20 | 60 | 40 | 40 | 40 |",1]
["| domainindex | domain1 | domain2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| classindex | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 |\n| x | (1,0.3) | (2,0.3) | (3,0.3) | (3.5,0.3) | (4.5,0.3) | (5.5,0.3) | (8,0.3) | (9.5,0.3) |","| DiﬃcultyTriplets |  |  |  |\n| --- | --- | --- | --- |\n| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |\n| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |\n| (0.0,0.0,0.25) | (0.5,0.0,0.0) | (0.0,1.0,0.0) | (0.5,0.5,0.5) |\n| (0.25,0.0,0.0) | (0.0,0.75,0.0) | (0.0,0.0,1.0) | (0.75,0.75,0.75) |",0]
["| domainindex | domain1 | domain2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| classindex | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 |\n| x | (1,0.3) | (2,0.3) | (3,0.3) | (3.5,0.3) | (4.5,0.3) | (5.5,0.3) | (8,0.3) | (9.5,0.3) |","| y | (2,0.3) | (1,0.3) | (2,0.3) | (2.5,0.3) | (1.5,0.3) | (2.5,0.3) | (2.5,0.3) | (1.5,0.3) |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #samples | 30 | 20 | 30 | 20 | 60 | 40 | 40 | 40 |",1]
["| domainindex | domain1 | domain2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| classindex | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 |\n| x | (1,0.3) | (2,0.3) | (3,0.3) | (3.5,0.3) | (4.5,0.3) | (5.5,0.3) | (8,0.3) | (9.5,0.3) |","| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |\n| --- | --- | --- | --- |\n| (0.0,0.0,0.25) | (0.5,0.0,0.0) | (0.0,1.0,0.0) | (0.5,0.5,0.5) |\n| (0.25,0.0,0.0) | (0.0,0.75,0.0) | (0.0,0.0,1.0) | (0.75,0.75,0.75) |",0]
["| MUSK1 | MUSK2 | Fox | Tiger |\n| --- | --- | --- | --- |\n| 93.49<br>±0.76 | 90.58<br>±1.31 | 66.4<br>±2.77 | 84.5<br>±0.61 |\n| 86.3 | 87.7 | N/A | N/A |\n| 92.4 | 89.2 | N/A | N/A |\n| 88.9 | 82.5 | N/A | N/A |\n| 85.8 | 91.3 | N/A | N/A |\n| 84.8 | 84.9 | 56.1 | 72.1 |\n| 92.4 | 86.3 | N/A | N/A |\n| 77.9 | 84.3 | 57.8 | 84.0 |\n| 87.4 | 83.6 | 58.2 | 78.4 |\n| 88.0 | 82.0 | N/A | N/A |\n| 92.8 | 93.1 | N/A | N/A |\n| 91.3<br>±1.6 | 90.1<br>±1.7 | N/A | N/A |\n| 83.7 | 80.4 | N/A | N/A |","| 90.3 | 86.6 | N/A | N/A |\n| --- | --- | --- | --- |\n| 88.0 | 89.3 | 60.3 | 84.2 |\n| 95.6 | 81.2 | 60.3 | 80.2 |\n| 90.0 | 90.0 | 61.2 | 81.9 |\n| 88.9 | 90.3 | 61.6 | 86.0 |\n| 86.3 | 86.2 | 66.0 | 86.0 |\n| 85.0 | 82.0 | 64.0 | 82.0 |",1]
["| MUSK1 | MUSK2 | Fox | Tiger |\n| --- | --- | --- | --- |\n| 93.49<br>±0.76 | 90.58<br>±1.31 | 66.4<br>±2.77 | 84.5<br>±0.61 |\n| 86.3 | 87.7 | N/A | N/A |\n| 92.4 | 89.2 | N/A | N/A |\n| 88.9 | 82.5 | N/A | N/A |\n| 85.8 | 91.3 | N/A | N/A |\n| 84.8 | 84.9 | 56.1 | 72.1 |\n| 92.4 | 86.3 | N/A | N/A |\n| 77.9 | 84.3 | 57.8 | 84.0 |\n| 87.4 | 83.6 | 58.2 | 78.4 |\n| 88.0 | 82.0 | N/A | N/A |\n| 92.8 | 93.1 | N/A | N/A |\n| 91.3<br>±1.6 | 90.1<br>±1.7 | N/A | N/A |\n| 83.7 | 80.4 | N/A | N/A |","| rank-1 | rank-5 | rank-10 |\n| --- | --- | --- |\n| 11.7<br>19.9<br>24.3<br>46.3<br>52.2<br>54.7 | 33.3<br>49.3<br>-<br>78.9<br>84.3<br>80.1 | 48.0<br>64.7<br>-<br>88.6<br>94.8<br>88.3 |\n| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| MUSK1 | MUSK2 | Fox | Tiger |\n| --- | --- | --- | --- |\n| 93.49<br>±0.76 | 90.58<br>±1.31 | 66.4<br>±2.77 | 84.5<br>±0.61 |\n| 86.3 | 87.7 | N/A | N/A |\n| 92.4 | 89.2 | N/A | N/A |\n| 88.9 | 82.5 | N/A | N/A |\n| 85.8 | 91.3 | N/A | N/A |\n| 84.8 | 84.9 | 56.1 | 72.1 |\n| 92.4 | 86.3 | N/A | N/A |\n| 77.9 | 84.3 | 57.8 | 84.0 |\n| 87.4 | 83.6 | 58.2 | 78.4 |\n| 88.0 | 82.0 | N/A | N/A |\n| 92.8 | 93.1 | N/A | N/A |\n| 91.3<br>±1.6 | 90.1<br>±1.7 | N/A | N/A |\n| 83.7 | 80.4 | N/A | N/A |\n| 90.3 | 86.6 | N/A | N/A |","| 88.0 | 89.3 | 60.3 | 84.2 |\n| --- | --- | --- | --- |\n| 95.6 | 81.2 | 60.3 | 80.2 |\n| 90.0 | 90.0 | 61.2 | 81.9 |\n| 88.9 | 90.3 | 61.6 | 86.0 |\n| 86.3 | 86.2 | 66.0 | 86.0 |\n| 85.0 | 82.0 | 64.0 | 82.0 |",1]
["| MUSK1 | MUSK2 | Fox | Tiger |\n| --- | --- | --- | --- |\n| 93.49<br>±0.76 | 90.58<br>±1.31 | 66.4<br>±2.77 | 84.5<br>±0.61 |\n| 86.3 | 87.7 | N/A | N/A |\n| 92.4 | 89.2 | N/A | N/A |\n| 88.9 | 82.5 | N/A | N/A |\n| 85.8 | 91.3 | N/A | N/A |\n| 84.8 | 84.9 | 56.1 | 72.1 |\n| 92.4 | 86.3 | N/A | N/A |\n| 77.9 | 84.3 | 57.8 | 84.0 |\n| 87.4 | 83.6 | 58.2 | 78.4 |\n| 88.0 | 82.0 | N/A | N/A |\n| 92.8 | 93.1 | N/A | N/A |\n| 91.3<br>±1.6 | 90.1<br>±1.7 | N/A | N/A |\n| 83.7 | 80.4 | N/A | N/A |\n| 90.3 | 86.6 | N/A | N/A |","| 35.8<br>59.8 | 65.3<br>88.3 | 77.96<br>94.2 |\n| --- | --- | --- |\n| 49.1<br>71.8 | 78.4<br>93.0 | 87.2<br>97.1 |\n| 71.5<br>83.4 | 91.5<br>97.1 | 95.9<br>98.7 |",0]
["| Age/a | Quantity |\n| --- | --- |\n| 20-29 | 91 |","| 18-19 | 14 |\n| --- | --- |\n| 30-39 | 3 |\n| Unknown | 1 |",1]
["| Age/a | Quantity |\n| --- | --- |\n| 20-29 | 91 |","| Age | 10<br>6<br>10×nPBMC | numberofindividuals |\n| --- | --- | --- |\n| 0 | 5.03 | 48 |\n| 1-4 | 4.93 | 53 |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |\n| 20-24 | 3.88 | 26 |\n| 25-29 | 3.75 | 47 |\n| 30-34 | 3.61 | 65 |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",0]
["| Age/a | Quantity |\n| --- | --- |\n| 20-29 | 91 |\n| 18-19 | 14 |","| 30-39 | 3 |\n| --- | --- |\n| Unknown | 1 |",1]
["| Age/a | Quantity |\n| --- | --- |\n| 20-29 | 91 |\n| 18-19 | 14 |","| 1-4 | 4.93 | 53 |\n| --- | --- | --- |\n| 5-9 | 4.86 | 19 |\n| 10-14 | 4.86 | 19 |\n| 15-19 | 4.56 | 33 |\n| 20-24 | 3.88 | 26 |\n| 25-29 | 3.75 | 47 |\n| 30-34 | 3.61 | 65 |\n| 35-39 | 3.54 | 73 |\n| 40-44 | 3.52 | 52 |\n| 45-49 | 3.37 | 55 |\n| 50-54 | 3.17 | 16 |",0]
["| Variablestate |\n| --- |\n| Longdistance(LD) |\n| Normaldistance(ND) |\n| Closedistance(CD) |\n| Rapidlyclosingin(RCI) |\n| Closingin(CI) |\n| Keeping(KE) |","| Fallingbehind(FB) |\n| --- |\n| Rapidlyfallingbehind(RFB) |\n| Aggressiveacceleration(AA) |\n| Gentleacceleration(GA) |\n| Noacceleration(NA) |\n| Gentledeceleration(GD) |\n| Aggressivedeceleration(AD) |",1]
["| Variablestate |\n| --- |\n| Longdistance(LD) |\n| Normaldistance(ND) |\n| Closedistance(CD) |\n| Rapidlyclosingin(RCI) |\n| Closingin(CI) |\n| Keeping(KE) |","| Notation | Description |\n| --- | --- |\n| puv | theprobabilityofedgeeu,v |\n| p(u,v)r | thereachabilityprobabilityfromutov |\n| p(u,v)i | theipathfromutov |\n| ruv | thesumofthepathsfromutov |\n| wu | theweightofnodeu |\n| IVT(u) | theinﬂuencevaluetreeofu |\n| WDT(u) | theweightdiscounttreeofu |\n| Vu | thevalueofnodeu |\n| Wu | thevaluegeneratedbyuinu’sneighborhood |\n| Ou | thesetofsuccessorsofu |\n| Iu | thesetofpredecessorsofu |\n| θ | boundparameterofBWRalgorithm |\n| α | stepswhichinﬂuencecanpropagate |\n| β | performanceboundofBWR |",0]
["| Variablestate |\n| --- |\n| Longdistance(LD) |\n| Normaldistance(ND) |\n| Closedistance(CD) |\n| Rapidlyclosingin(RCI) |\n| Closingin(CI) |\n| Keeping(KE) |\n| Fallingbehind(FB) |\n| Rapidlyfallingbehind(RFB) |\n| Aggressiveacceleration(AA) |\n| Gentleacceleration(GA) |\n| Noacceleration(NA) |","| Gentledeceleration(GD) |\n| --- |\n| Aggressivedeceleration(AD) |",1]
["| Variablestate |\n| --- |\n| Longdistance(LD) |\n| Normaldistance(ND) |\n| Closedistance(CD) |\n| Rapidlyclosingin(RCI) |\n| Closingin(CI) |\n| Keeping(KE) |\n| Fallingbehind(FB) |\n| Rapidlyfallingbehind(RFB) |\n| Aggressiveacceleration(AA) |\n| Gentleacceleration(GA) |\n| Noacceleration(NA) |","| α | stepswhichinﬂuencecanpropagate |\n| --- | --- |\n| β | performanceboundofBWR |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.916 | 0.096 | 0.904 | 0.084 | 0.91 |","| NB | 0.629 | 0.125 | 0.875 | 0.371 | 0.744 |\n| --- | --- | --- | --- | --- | --- |\n| SL | 0.919 | 0.085 | 0.915 | 0.081 | 0.917 |\n| MLP | 0.919 | 0.088 | 0.912 | 0.081 | 0.916 |\n| PART | 0.904 | 0.101 | 0.899 | 0.096 | 0.902 |\n| RF | 0.931 | 0.08 | 0.92 | 0.069 | 0.926 |\n| J48 | 0.926 | 0.104 | 0.896 | 0.074 | 0.912 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.916 | 0.096 | 0.904 | 0.084 | 0.91 |","| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |\n| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |\n| PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |\n| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.916 | 0.096 | 0.904 | 0.084 | 0.91 |\n| NB | 0.629 | 0.125 | 0.875 | 0.371 | 0.744 |","| SL | 0.919 | 0.085 | 0.915 | 0.081 | 0.917 |\n| --- | --- | --- | --- | --- | --- |\n| MLP | 0.919 | 0.088 | 0.912 | 0.081 | 0.916 |\n| PART | 0.904 | 0.101 | 0.899 | 0.096 | 0.902 |\n| RF | 0.931 | 0.08 | 0.92 | 0.069 | 0.926 |\n| J48 | 0.926 | 0.104 | 0.896 | 0.074 | 0.912 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.916 | 0.096 | 0.904 | 0.084 | 0.91 |\n| NB | 0.629 | 0.125 | 0.875 | 0.371 | 0.744 |","| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |\n| --- | --- | --- | --- | --- | --- |\n| PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |\n| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["| Usage |\n| --- |\n| train |\n| dev |\n| test |\n| test |","| test |\n| --- |\n| test |",1]
["| Usage |\n| --- |\n| train |\n| dev |\n| test |\n| test |","| Usage |\n| --- |\n| TMtrain |\n| LMtrain |\n| train |\n| dev |\n| test<br>test |",0]
["| Usage |\n| --- |\n| train |\n| dev |","| test |\n| --- |\n| test |\n| test |\n| test |",1]
["| Usage |\n| --- |\n| train |\n| dev |","| train |\n| --- |\n| dev |\n| test<br>test |",0]
["| FuncA | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 46.0 | 17.1 | 8.6 |\n| TS-SPL-INF | 55.2(24.3) | 39.1(8.1) | 35.0(4.1) |\n| PBS-M | 55.1(24.2) | 40.3(9.3) | 35.2(4.2) |\n| NGBS-M | 53.4(22.4) | 35.3(4.3) | 32.9(1.9) |","| BZ-M | 63.8(32.8) | 39.9(8.9) | 33.8(2.8) |\n| --- | --- | --- | --- |\n| SA | 32.4 | 14.8 | 5.4 |\n| ASS | 80.4(49.4) | 38.7(7.7) | 33.5(2.5) |\n| HSSL | 60.4(29.4) | 45.5(14.6) | 35.8(4.8) |\n| SHSSL | 62.8 | 20.2 | 6.7 |\n| CPL-AdS | 162.1(107.9) | 146.3(97.4) | 135.3(90.1) |",1]
["| FuncA | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 46.0 | 17.1 | 8.6 |\n| TS-SPL-INF | 55.2(24.3) | 39.1(8.1) | 35.0(4.1) |\n| PBS-M | 55.1(24.2) | 40.3(9.3) | 35.2(4.2) |\n| NGBS-M | 53.4(22.4) | 35.3(4.3) | 32.9(1.9) |","| FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 47.1 | 17.8 | 8.5 |\n| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |\n| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |\n| SA | 175.1 | 204.5 | 223.3 |\n| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |\n| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |\n| SHSSL | 75.4 | 30.8 | 12.7 |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",0]
["| FuncA | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 46.0 | 17.1 | 8.6 |\n| TS-SPL-INF | 55.2(24.3) | 39.1(8.1) | 35.0(4.1) |\n| PBS-M | 55.1(24.2) | 40.3(9.3) | 35.2(4.2) |","| NGBS-M | 53.4(22.4) | 35.3(4.3) | 32.9(1.9) |\n| --- | --- | --- | --- |\n| BZ-M | 63.8(32.8) | 39.9(8.9) | 33.8(2.8) |\n| SA | 32.4 | 14.8 | 5.4 |\n| ASS | 80.4(49.4) | 38.7(7.7) | 33.5(2.5) |\n| HSSL | 60.4(29.4) | 45.5(14.6) | 35.8(4.8) |\n| SHSSL | 62.8 | 20.2 | 6.7 |\n| CPL-AdS | 162.1(107.9) | 146.3(97.4) | 135.3(90.1) |",1]
["| FuncA | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 46.0 | 17.1 | 8.6 |\n| TS-SPL-INF | 55.2(24.3) | 39.1(8.1) | 35.0(4.1) |\n| PBS-M | 55.1(24.2) | 40.3(9.3) | 35.2(4.2) |","| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| --- | --- | --- | --- |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |\n| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |\n| SA | 175.1 | 204.5 | 223.3 |\n| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |\n| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |\n| SHSSL | 75.4 | 30.8 | 12.7 |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",0]
["| words | non-terminals |\n| --- | --- |\n| ’...’OR”...” | terminals |\n| (...) | grouping |","| [...] | optional |\n| --- | --- |\n| {...} | repetition(zeroormoretimes) |\n| {...}- | repetition(oneormoretimes) |\n| = | deﬁningsymbol |\n| ; | ruleterminator |\n| \\| | alternative(xor) |\n| , | concatenation |\n| - | except |\n| * | occurrencesof |\n| (*...*) | comment |\n| ?...? | specialconstruction,sequence |",1]
["| words | non-terminals |\n| --- | --- |\n| ’...’OR”...” | terminals |\n| (...) | grouping |","| No | LExO | FRED | Text2Onto | DLOL |\n| --- | --- | --- | --- | --- |\n| Trivial | 14/15 | 9/15 | 13/15 | 0/15 |\n| Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 |\n| Partial | LExO | FRED | Text2Onto | DLOL |\n| Trivial | 1/15 | 0/15 | 0/15 | 1/15 |\n| Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 |\n| Yes | LExO | FRED | Text2Onto | DLOL |\n| Trivial | 0/15 | 6/15 | 2/15 | 14/15 |\n| Non-Trivial | 0/56 | 4/56 | 0/56 | 54/56 |",0]
["| words | non-terminals |\n| --- | --- |\n| ’...’OR”...” | terminals |\n| (...) | grouping |","| [...] | optional |\n| --- | --- |\n| {...} | repetition(zeroormoretimes) |\n| {...}- | repetition(oneormoretimes) |\n| = | deﬁningsymbol |\n| ; | ruleterminator |\n| \\| | alternative(xor) |\n| , | concatenation |\n| - | except |\n| * | occurrencesof |\n| (*...*) | comment |\n| ?...? | specialconstruction,sequence |",1]
["| words | non-terminals |\n| --- | --- |\n| ’...’OR”...” | terminals |\n| (...) | grouping |","| Trivial | 0/15 | 6/15 | 2/15 | 14/15 |\n| --- | --- | --- | --- | --- |\n| Non-Trivial | 0/56 | 4/56 | 0/56 | 54/56 |",0]
["| Var | AVTA+MultipleRp | FastAnhor | variance | AVTA+MultipleRp | FastAnhor |\n| --- | --- | --- | --- | --- | --- |\n| 0.3 | 2.96 | 2.96 | 1.8 | 16.60 | 17.98 |\n| 0.6 | 5.79 | 5.79 | 2.1 | 19.40 | 20.58 |\n| 0.9 | 8.61 | 9.36 | 2.4 | 21.93 | 23.77 |","| 1.2 | 11.34 | 12.00 | 2.7 | 23.69 | 24.90 |\n| --- | --- | --- | --- | --- | --- |\n| 1.5 | 14.16 | 15.44 | 3 | 26.72 | 28.78 |",1]
["| Var | AVTA+MultipleRp | FastAnhor | variance | AVTA+MultipleRp | FastAnhor |\n| --- | --- | --- | --- | --- | --- |\n| 0.3 | 2.96 | 2.96 | 1.8 | 16.60 | 17.98 |\n| 0.6 | 5.79 | 5.79 | 2.1 | 19.40 | 20.58 |\n| 0.9 | 8.61 | 9.36 | 2.4 | 21.93 | 23.77 |","| k/paa | 0.2 | 0.4 | 0.6 | 0.8 | 1 | 1.2 | 1.4 | 1.6 | 1.8 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | 0.0 | 0.0 | 5.9 | 13.0 | 21.7 | 27.3 | 29.4 | 29.4 | 29.4 | 29.4 |\n| Avg | 3.9 | 10.5 | 20.0 | 29.1 | 38.3 | 48.8 | 60.4 | 72.5 | 85.6 | 98.0 |\n| Max | 10.0 | 18.2 | 50.0 | 62.5 | 87.5 | 112.5 | 137.5 | 150.0 | 175.0 | 187.5 |\n| #Worse | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| #Better | 31 | 49 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |",0]
["| Var | AVTA+MultipleRp | FastAnhor | variance | AVTA+MultipleRp | FastAnhor |\n| --- | --- | --- | --- | --- | --- |\n| 0.3 | 2.96 | 2.96 | 1.8 | 16.60 | 17.98 |\n| 0.6 | 5.79 | 5.79 | 2.1 | 19.40 | 20.58 |","| 0.9 | 8.61 | 9.36 | 2.4 | 21.93 | 23.77 |\n| --- | --- | --- | --- | --- | --- |\n| 1.2 | 11.34 | 12.00 | 2.7 | 23.69 | 24.90 |\n| 1.5 | 14.16 | 15.44 | 3 | 26.72 | 28.78 |",1]
["| Var | AVTA+MultipleRp | FastAnhor | variance | AVTA+MultipleRp | FastAnhor |\n| --- | --- | --- | --- | --- | --- |\n| 0.3 | 2.96 | 2.96 | 1.8 | 16.60 | 17.98 |\n| 0.6 | 5.79 | 5.79 | 2.1 | 19.40 | 20.58 |","| Max | 10.0 | 18.2 | 50.0 | 62.5 | 87.5 | 112.5 | 137.5 | 150.0 | 175.0 | 187.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #Worse | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| #Better | 31 | 49 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |",0]
["| T=100ms | theperiodicityoftheV2Vphase |\n| --- | --- |\n| N=5∼30 | thenumberofOBUsinthenetwork |\n| L=500m∼3000m | thelengthofthevehicleﬂeet |\n| N=8max | themaximalmembersinasubnetwork |","| K=10 | theperiodicityofthesplittingscheme |\n| --- | --- |\n| D=140∼500m | thediameteroftheRSU’scoverage |\n| α=100,β=1 | thepricingfactors |\n| M=100 | thenumberofentirepackets |\n| Ms=100Mb | thesizeofthepopularﬁle |\n| v=20m/smin | theminimalspeed |\n| v=40m/smax | themaximalspeed |\n| d=100mmin | thesecuritydistance |\n| d=1000mmax | themaximaldistance |\n| a=1m/s | theacceleration |\n| p=0.1 | theprobabilityofchangingspeed |\n| W=30MHz | thechannelbandwidth |\n| c=5Mb/s0 | theV2Rchannelrate |\n| η=10 | thesignal-to-noiserateatthetransmitter |\n| κ=10dB | thepowerratioofLOSagainstnon-LOS |",1]
["| T=100ms | theperiodicityoftheV2Vphase |\n| --- | --- |\n| N=5∼30 | thenumberofOBUsinthenetwork |\n| L=500m∼3000m | thelengthofthevehicleﬂeet |\n| N=8max | themaximalmembersinasubnetwork |","| Parameters | Values |\n| --- | --- |\n| NumberofBSs | 40 |\n| NumberofWAPs | 30 |\n| Meantimeofasuccessfultransmission | 5µs |\n| Meantimeofacollision | 1µs |\n| Meantimeofidlechannel | 3µs |\n| Numberofchannels | 10 |\n| RTS | 20bytes |\n| CTS | 14bytes |\n| DIFS | 34µs |\n| SIFS | 16µs |\n| NumberofWUs | 150 |\n| TransmitpoweroftheWAPs | 0.5W |\n| TransmitpoweroftheBSs | 1W |",0]
["| T=100ms | theperiodicityoftheV2Vphase |\n| --- | --- |\n| N=5∼30 | thenumberofOBUsinthenetwork |\n| L=500m∼3000m | thelengthofthevehicleﬂeet |\n| N=8max | themaximalmembersinasubnetwork |\n| K=10 | theperiodicityofthesplittingscheme |\n| D=140∼500m | thediameteroftheRSU’scoverage |\n| α=100,β=1 | thepricingfactors |\n| M=100 | thenumberofentirepackets |","| Ms=100Mb | thesizeofthepopularﬁle |\n| --- | --- |\n| v=20m/smin | theminimalspeed |\n| v=40m/smax | themaximalspeed |\n| d=100mmin | thesecuritydistance |\n| d=1000mmax | themaximaldistance |\n| a=1m/s | theacceleration |\n| p=0.1 | theprobabilityofchangingspeed |\n| W=30MHz | thechannelbandwidth |\n| c=5Mb/s0 | theV2Rchannelrate |\n| η=10 | thesignal-to-noiserateatthetransmitter |\n| κ=10dB | thepowerratioofLOSagainstnon-LOS |",1]
["| T=100ms | theperiodicityoftheV2Vphase |\n| --- | --- |\n| N=5∼30 | thenumberofOBUsinthenetwork |\n| L=500m∼3000m | thelengthofthevehicleﬂeet |\n| N=8max | themaximalmembersinasubnetwork |\n| K=10 | theperiodicityofthesplittingscheme |\n| D=140∼500m | thediameteroftheRSU’scoverage |\n| α=100,β=1 | thepricingfactors |\n| M=100 | thenumberofentirepackets |","| CTS | 14bytes |\n| --- | --- |\n| DIFS | 34µs |\n| SIFS | 16µs |\n| NumberofWUs | 150 |\n| TransmitpoweroftheWAPs | 0.5W |\n| TransmitpoweroftheBSs | 1W |",0]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 1.000 | 1.4708 | 1.8248 | 1.000 | 1.3185 | 2.0239 |","| m=24 | 1.000 | 1.9088 | 2.8926 | 1.000 | 1.3187 | 2.6559 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=32 | 1.000 | 1.7273 | 2.7441 | 1.000 | 1.3679 | 2.4393 |\n| m=48 | 1.000 | 1.5386 | 2.0232 | 1.000 | 1.3051 | 1.9371 |\n| m=60 | 1.000 | 1.5096 | 1.9333 | 1.000 | 1.3447 | 1.8922 |",1]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 1.000 | 1.4708 | 1.8248 | 1.000 | 1.3185 | 2.0239 |","| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 0.0010 | 2.5410 | 7.2810 | 0.6710 | 1.7510 | 7.4910 |\n| m=24 | 0.0010 | 1.0710 | 3.8010 | 0.1610 | 0.8810 | 5.2910 |\n| m=32 | 0.0010 | 0.8210 | 3.2310 | 0.1810 | 0.6310 | 3.1310 |\n| m=48 | 0.0010 | 0.3110 | 1.1410 | 0.0610 | 0.3310 | 2.0710 |\n| m=60 | 0.0010 | 0.2010 | 0.7010 | 0.0510 | 0.2610 | 1.5510 |",0]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 1.000 | 1.4708 | 1.8248 | 1.000 | 1.3185 | 2.0239 |\n| m=24 | 1.000 | 1.9088 | 2.8926 | 1.000 | 1.3187 | 2.6559 |\n| m=32 | 1.000 | 1.7273 | 2.7441 | 1.000 | 1.3679 | 2.4393 |","| m=48 | 1.000 | 1.5386 | 2.0232 | 1.000 | 1.3051 | 1.9371 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=60 | 1.000 | 1.5096 | 1.9333 | 1.000 | 1.3447 | 1.8922 |",1]
["| testcase | [A] | [B] |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | min. | mean | max. | min. | mean | max. |\n| m=16 | 1.000 | 1.4708 | 1.8248 | 1.000 | 1.3185 | 2.0239 |\n| m=24 | 1.000 | 1.9088 | 2.8926 | 1.000 | 1.3187 | 2.6559 |\n| m=32 | 1.000 | 1.7273 | 2.7441 | 1.000 | 1.3679 | 2.4393 |","| m=32 | 0.0010 | 0.8210 | 3.2310 | 0.1810 | 0.6310 | 3.1310 |\n| --- | --- | --- | --- | --- | --- | --- |\n| m=48 | 0.0010 | 0.3110 | 1.1410 | 0.0610 | 0.3310 | 2.0710 |\n| m=60 | 0.0010 | 0.2010 | 0.7010 | 0.0510 | 0.2610 | 1.5510 |",0]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.9303 | 0.9485 | 0.8588 |\n| Barbara | 0.8499 | 0.8811 | 0.8679 |\n| Baboon | 0.8250 | 0.7944 | 0.7577 |","| Boat | 0.8799 | 0.9005 | 0.8136 |\n| --- | --- | --- | --- |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",1]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.9303 | 0.9485 | 0.8588 |\n| Barbara | 0.8499 | 0.8811 | 0.8679 |\n| Baboon | 0.8250 | 0.7944 | 0.7577 |","| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.0252 | 0.0058 | -0.0246 |\n| Barbara | -0.0316 | 0.0243 | 0.0272 |\n| Baboon | -0.0142 | 0.0034 | -0.0022 |\n| Boat | 0.0135 | 0.0069 | -0.0297 |\n| Peppers | -0.0045 | -0.0698 | 0.0221 |",0]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.9303 | 0.9485 | 0.8588 |\n| Barbara | 0.8499 | 0.8811 | 0.8679 |","| Baboon | 0.8250 | 0.7944 | 0.7577 |\n| --- | --- | --- | --- |\n| Boat | 0.8799 | 0.9005 | 0.8136 |\n| Peppers | 0.9448 | 0.9532 | 0.9067 |",1]
["| Imagename | Horizontal | Vertical | Diagonal |\n| --- | --- | --- | --- |\n| Lena | 0.9303 | 0.9485 | 0.8588 |\n| Barbara | 0.8499 | 0.8811 | 0.8679 |","| Boat | 0.0135 | 0.0069 | -0.0297 |\n| --- | --- | --- | --- |\n| Peppers | -0.0045 | -0.0698 | 0.0221 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Experiment | Published<br>AverageAverage<br>UpdateTimeUpdateSizeThroughputBandwidth<br>(msec)(bytes)(updates/sec)(MB/sec) | Consumed<br>Throughput<br>(selects/sec) |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 127.74 | 2,175 | 41.46 | 0.09 | 3.26 |","| FutureGridx2 | 120.44 | 2,174 | 80.78 | 0.18 | 4.91 |\n| --- | --- | --- | --- | --- | --- |\n| XSEDE | 225.07 | 10,517 | 1.65 | 0.02 | 7.22 |\n| XSEDEx2 | 228.20 | 10,443 | 3.32 | 0.03 | 12.84 |\n| OSG | 202.70 | 4,367 | 27.26 | 0.12 | 10.38 |\n| OSGx2 | 218.02 | 4,394 | 54.39 | 0.24 | 22.24 |",1]
["| Experiment | Published<br>AverageAverage<br>UpdateTimeUpdateSizeThroughputBandwidth<br>(msec)(bytes)(updates/sec)(MB/sec) | Consumed<br>Throughput<br>(selects/sec) |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 127.74 | 2,175 | 41.46 | 0.09 | 3.26 |","| Experiment | Published<br>AverageAverage<br>PublishTimeMessageSizeThroughputBandwidth<br>(msec)(bytes)(msg/sec)(MB/sec) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 0.09 | 2,175 | 41.46 | 0.09 | 1,101 |\n| FutureGridx2 | 0.08 | 2,174 | 80.78 | 0.18 | 3,254 |\n| XSEDE | 29.27 | 10,517 | 1.65 | 0.02 | 163 |\n| XSEDEx2 | 26.08 | 10,443 | 3.32 | 0.03 | 593 |\n| OSG | 4.34 | 4,367 | 27.26 | 0.12 | 4,572 |\n| OSGx2 | 3.79 | 4,394 | 54.39 | 0.24 | 17,222 |",0]
["| Experiment | Published<br>AverageAverage<br>UpdateTimeUpdateSizeThroughputBandwidth<br>(msec)(bytes)(updates/sec)(MB/sec) | Consumed<br>Throughput<br>(selects/sec) |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 127.74 | 2,175 | 41.46 | 0.09 | 3.26 |","| FutureGridx2 | 120.44 | 2,174 | 80.78 | 0.18 | 4.91 |\n| --- | --- | --- | --- | --- | --- |\n| XSEDE | 225.07 | 10,517 | 1.65 | 0.02 | 7.22 |\n| XSEDEx2 | 228.20 | 10,443 | 3.32 | 0.03 | 12.84 |\n| OSG | 202.70 | 4,367 | 27.26 | 0.12 | 10.38 |\n| OSGx2 | 218.02 | 4,394 | 54.39 | 0.24 | 22.24 |",1]
["| Experiment | Published<br>AverageAverage<br>UpdateTimeUpdateSizeThroughputBandwidth<br>(msec)(bytes)(updates/sec)(MB/sec) | Consumed<br>Throughput<br>(selects/sec) |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| FutureGrid | 127.74 | 2,175 | 41.46 | 0.09 | 3.26 |","| XSEDEx2 | 26.08 | 10,443 | 3.32 | 0.03 | 593 |\n| --- | --- | --- | --- | --- | --- |\n| OSG | 4.34 | 4,367 | 27.26 | 0.12 | 4,572 |\n| OSGx2 | 3.79 | 4,394 | 54.39 | 0.24 | 17,222 |",0]
["| denoising |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| SBCSC | OCSC | SCSC | SBCSC | OCSC |\n| 14.88±0.03 | 16.20±0.03 | 17.27±0.02 | 29.76±0.13 | 29.40±0.14 |\n| 14.80±0.02 | 16.01±0.02 | 17.10±0.02 | 24.92±0.06 | 25.04±0.04 |","| 14.97±0.02 | 16.33±0.01 | 17.44±0.03 | 27.06±0.06 | 26.79±0.04 |\n| --- | --- | --- | --- | --- |\n| 15.23±0.01 | 16.27±0.01 | 17.63±0.02 | 24.96±0.13 | 24.66±0.10 |\n| 15.21±0.04 | 16.53±0.02 | 17.56±0.03 | 26.81±0.05 | 26.71±0.08 |\n| 16.90±0.01 | 18.05±0.03 | 20.06±0.05 | 29.60±0.07 | 29.40±0.09 |\n| 14.90±0.01 | 16.21±0.02 | 17.22±0.03 | 25.36±0.01 | 25.42±0.07 |\n| 14.89±0.02 | 16.19±0.01 | 18.36±0.05 | 26.64±0.04 | 26.48±0.06 |\n| 16.40±0.01 | 17.40±0.01 | 18.61±0.02 | 27.49±0.03 | 26.98±0.08 |\n| 16.38±0.01 | 17.68±0.02 | 18.56±0.03 | 29.96±0.05 | 29.62±0.08 |",1]
["| denoising |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| SBCSC | OCSC | SCSC | SBCSC | OCSC |\n| 14.88±0.03 | 16.20±0.03 | 17.27±0.02 | 29.76±0.13 | 29.40±0.14 |\n| 14.80±0.02 | 16.01±0.02 | 17.10±0.02 | 24.92±0.06 | 25.04±0.04 |","| MASR | PPF | 3D-CNN | ANNC-ASSCC |\n| --- | --- | --- | --- |\n| 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 |\n| 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 |\n| 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 |\n| 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 |\n| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |\n| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",0]
["| denoising |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| SBCSC | OCSC | SCSC | SBCSC | OCSC |\n| 14.88±0.03 | 16.20±0.03 | 17.27±0.02 | 29.76±0.13 | 29.40±0.14 |\n| 14.80±0.02 | 16.01±0.02 | 17.10±0.02 | 24.92±0.06 | 25.04±0.04 |\n| 14.97±0.02 | 16.33±0.01 | 17.44±0.03 | 27.06±0.06 | 26.79±0.04 |\n| 15.23±0.01 | 16.27±0.01 | 17.63±0.02 | 24.96±0.13 | 24.66±0.10 |","| 15.21±0.04 | 16.53±0.02 | 17.56±0.03 | 26.81±0.05 | 26.71±0.08 |\n| --- | --- | --- | --- | --- |\n| 16.90±0.01 | 18.05±0.03 | 20.06±0.05 | 29.60±0.07 | 29.40±0.09 |\n| 14.90±0.01 | 16.21±0.02 | 17.22±0.03 | 25.36±0.01 | 25.42±0.07 |\n| 14.89±0.02 | 16.19±0.01 | 18.36±0.05 | 26.64±0.04 | 26.48±0.06 |\n| 16.40±0.01 | 17.40±0.01 | 18.61±0.02 | 27.49±0.03 | 26.98±0.08 |\n| 16.38±0.01 | 17.68±0.02 | 18.56±0.03 | 29.96±0.05 | 29.62±0.08 |",1]
["| denoising |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| SBCSC | OCSC | SCSC | SBCSC | OCSC |\n| 14.88±0.03 | 16.20±0.03 | 17.27±0.02 | 29.76±0.13 | 29.40±0.14 |\n| 14.80±0.02 | 16.01±0.02 | 17.10±0.02 | 24.92±0.06 | 25.04±0.04 |\n| 14.97±0.02 | 16.33±0.01 | 17.44±0.03 | 27.06±0.06 | 26.79±0.04 |\n| 15.23±0.01 | 16.27±0.01 | 17.63±0.02 | 24.96±0.13 | 24.66±0.10 |","| 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 |\n| --- | --- | --- | --- |\n| 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 |\n| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 |\n| 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 |\n| 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 |\n| 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |",0]
["|  | Year | R | P | F |\n| --- | --- | --- | --- | --- |\n| MSRA-TD500 |  |  |  |  |\n| CCTN | – | 0.65 | 0.79 | 0.71 |\n| Yinetal. | 2015 | 0.63 | 0.81 | 0.71 |\n| Yinetal. | 2014 | 0.61 | 0.71 | 0.66 |\n| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |\n| Kangetal. | 2014 | 0.62 | 0.71 | 0.66 |\n| Yaoetal. | 2012 | 0.63 | 0.63 | 0.60 |","| ICDAR2011 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCTN | – | 0.79 | 0.88 | 0.84 |\n| Yinetal. | 2015 | 0.66 | 0.84 | 0.74 |\n| ICDAR2013 |  |  |  |  |\n| CCTN | – | 0.83 | 0.90 | 0.86 |\n| Yinetal. | 2015 | 0.65 | 0.84 | 0.73 |",1]
["|  | Year | R | P | F |\n| --- | --- | --- | --- | --- |\n| MSRA-TD500 |  |  |  |  |\n| CCTN | – | 0.65 | 0.79 | 0.71 |\n| Yinetal. | 2015 | 0.63 | 0.81 | 0.71 |\n| Yinetal. | 2014 | 0.61 | 0.71 | 0.66 |\n| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |\n| Kangetal. | 2014 | 0.62 | 0.71 | 0.66 |\n| Yaoetal. | 2012 | 0.63 | 0.63 | 0.60 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["|  | Year | R | P | F |\n| --- | --- | --- | --- | --- |\n| MSRA-TD500 |  |  |  |  |\n| CCTN | – | 0.65 | 0.79 | 0.71 |\n| Yinetal. | 2015 | 0.63 | 0.81 | 0.71 |\n| Yinetal. | 2014 | 0.61 | 0.71 | 0.66 |\n| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |","| Kangetal. | 2014 | 0.62 | 0.71 | 0.66 |\n| --- | --- | --- | --- | --- |\n| Yaoetal. | 2012 | 0.63 | 0.63 | 0.60 |\n| ICDAR2011 |  |  |  |  |\n| CCTN | – | 0.79 | 0.88 | 0.84 |\n| Yinetal. | 2015 | 0.66 | 0.84 | 0.74 |\n| ICDAR2013 |  |  |  |  |\n| CCTN | – | 0.83 | 0.90 | 0.86 |\n| Yinetal. | 2015 | 0.65 | 0.84 | 0.73 |",1]
["|  | Year | R | P | F |\n| --- | --- | --- | --- | --- |\n| MSRA-TD500 |  |  |  |  |\n| CCTN | – | 0.65 | 0.79 | 0.71 |\n| Yinetal. | 2015 | 0.63 | 0.81 | 0.71 |\n| Yinetal. | 2014 | 0.61 | 0.71 | 0.66 |\n| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |","| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["| Model | Size | Valid | Test |\n| --- | --- | --- | --- |\n| Existingresults |  |  |  |\n| UnregularzedLSTM<br>NR-dropout<br>Zoneout<br>VariationalLSTM<br>CharCNN<br>PointerSentinel-LSTM<br>LSTM+continuouscachepointer<br>VariationalLSTM+augmentedloss<br>VariationalRHN<br>NASCell<br>4-layerskipconnectionLSTM<br>AWD-LSTMw/oﬁnetune<br>AWD-LSTM(Baseline) | 7M<br>66M<br>66M<br>19M<br>21M<br>51M<br>-<br>51M<br>23M<br>54M<br>24M<br>24M<br>24M | 120.7<br>82.2<br>-<br>-<br>72.4<br>-<br>-<br>71.1<br>67.9<br>-<br>60.9<br>60.7<br>60.0 | 114.5<br>78.4<br>77.4<br>73.4<br>78.9<br>70.9<br>72.1<br>68.5<br>65.4<br>62.4<br>58.3<br>58.8<br>57.3 |","| Oursystem |  |  |  |\n| --- | --- | --- | --- |\n| SharpenedSigmoidAWD-LSTMw/oﬁnetune<br>SharpenedSigmoidAWD-LSTM<br>2<br>G-LSTMw/oﬁnetune<br>2<br>G-LSTM | 24M<br>24M<br>24M<br>24M | 61.6<br>59.9<br>60.4<br>58.5 | 59.4<br>57.5<br>58.2<br>56.1 |\n| +continuouscachepointer |  |  |  |\n| AWD-LSTM+continuouscachepointer<br>SharpenedSigmoidAWD-LSTM+continuouscachepointer<br>2<br>G-LSTM+continuouscachepointer | 24M<br>24M<br>24M | 53.9<br>53.9<br>52.9 | 52.8<br>53.2<br>52.1 |",1]
["| Model | Size | Valid | Test |\n| --- | --- | --- | --- |\n| Existingresults |  |  |  |\n| UnregularzedLSTM<br>NR-dropout<br>Zoneout<br>VariationalLSTM<br>CharCNN<br>PointerSentinel-LSTM<br>LSTM+continuouscachepointer<br>VariationalLSTM+augmentedloss<br>VariationalRHN<br>NASCell<br>4-layerskipconnectionLSTM<br>AWD-LSTMw/oﬁnetune<br>AWD-LSTM(Baseline) | 7M<br>66M<br>66M<br>19M<br>21M<br>51M<br>-<br>51M<br>23M<br>54M<br>24M<br>24M<br>24M | 120.7<br>82.2<br>-<br>-<br>72.4<br>-<br>-<br>71.1<br>67.9<br>-<br>60.9<br>60.7<br>60.0 | 114.5<br>78.4<br>77.4<br>73.4<br>78.9<br>70.9<br>72.1<br>68.5<br>65.4<br>62.4<br>58.3<br>58.8<br>57.3 |","| Architecture |  |  |\n| --- | --- | --- |\n| Model | Parameter | Value |\n| Chr,Wrd<br>Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Wrd<br>Chr<br>Chr,Wrd,Mt | BiLSTMlayers<br>BiLSTMlayers<br>BiLSTMsize<br>DropoutLSTMs<br>DropoutMLP<br>Dropoutembeddings<br>Dropoutembeddings<br>Nonlinearact.(MLP) | 3<br>1<br>400<br>0.33<br>0.33<br>0.33<br>0.05<br>ELU |\n| Initialization |  |  |\n| Model<br>Wrd<br>Chr<br>Chr,Wrd,Mt | Parameter<br>embeddings<br>embeddings<br>MLP | Value<br>Zero<br>Gaussian<br>Gaussian |\n| Training |  |  |\n| Model | Parameter | Value |\n| Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt | Optimizer<br>Loss<br>Learningrate<br>Decay<br>Adamepsilon<br>beta1<br>beta2 | Adam<br>Crossentropy<br>0.002<br>0.999994<br>1e-08<br>0.9<br>0.999 |",0]
["| Model | Size | Valid | Test |\n| --- | --- | --- | --- |\n| Existingresults |  |  |  |\n| UnregularzedLSTM<br>NR-dropout<br>Zoneout<br>VariationalLSTM<br>CharCNN<br>PointerSentinel-LSTM<br>LSTM+continuouscachepointer<br>VariationalLSTM+augmentedloss<br>VariationalRHN<br>NASCell<br>4-layerskipconnectionLSTM<br>AWD-LSTMw/oﬁnetune<br>AWD-LSTM(Baseline) | 7M<br>66M<br>66M<br>19M<br>21M<br>51M<br>-<br>51M<br>23M<br>54M<br>24M<br>24M<br>24M | 120.7<br>82.2<br>-<br>-<br>72.4<br>-<br>-<br>71.1<br>67.9<br>-<br>60.9<br>60.7<br>60.0 | 114.5<br>78.4<br>77.4<br>73.4<br>78.9<br>70.9<br>72.1<br>68.5<br>65.4<br>62.4<br>58.3<br>58.8<br>57.3 |\n| Oursystem |  |  |  |\n| SharpenedSigmoidAWD-LSTMw/oﬁnetune<br>SharpenedSigmoidAWD-LSTM<br>2<br>G-LSTMw/oﬁnetune<br>2<br>G-LSTM | 24M<br>24M<br>24M<br>24M | 61.6<br>59.9<br>60.4<br>58.5 | 59.4<br>57.5<br>58.2<br>56.1 |","| +continuouscachepointer |  |  |  |\n| --- | --- | --- | --- |\n| AWD-LSTM+continuouscachepointer<br>SharpenedSigmoidAWD-LSTM+continuouscachepointer<br>2<br>G-LSTM+continuouscachepointer | 24M<br>24M<br>24M | 53.9<br>53.9<br>52.9 | 52.8<br>53.2<br>52.1 |",1]
["| Model | Size | Valid | Test |\n| --- | --- | --- | --- |\n| Existingresults |  |  |  |\n| UnregularzedLSTM<br>NR-dropout<br>Zoneout<br>VariationalLSTM<br>CharCNN<br>PointerSentinel-LSTM<br>LSTM+continuouscachepointer<br>VariationalLSTM+augmentedloss<br>VariationalRHN<br>NASCell<br>4-layerskipconnectionLSTM<br>AWD-LSTMw/oﬁnetune<br>AWD-LSTM(Baseline) | 7M<br>66M<br>66M<br>19M<br>21M<br>51M<br>-<br>51M<br>23M<br>54M<br>24M<br>24M<br>24M | 120.7<br>82.2<br>-<br>-<br>72.4<br>-<br>-<br>71.1<br>67.9<br>-<br>60.9<br>60.7<br>60.0 | 114.5<br>78.4<br>77.4<br>73.4<br>78.9<br>70.9<br>72.1<br>68.5<br>65.4<br>62.4<br>58.3<br>58.8<br>57.3 |\n| Oursystem |  |  |  |\n| SharpenedSigmoidAWD-LSTMw/oﬁnetune<br>SharpenedSigmoidAWD-LSTM<br>2<br>G-LSTMw/oﬁnetune<br>2<br>G-LSTM | 24M<br>24M<br>24M<br>24M | 61.6<br>59.9<br>60.4<br>58.5 | 59.4<br>57.5<br>58.2<br>56.1 |","| Chr,Wrd<br>Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Wrd<br>Chr<br>Chr,Wrd,Mt | BiLSTMlayers<br>BiLSTMlayers<br>BiLSTMsize<br>DropoutLSTMs<br>DropoutMLP<br>Dropoutembeddings<br>Dropoutembeddings<br>Nonlinearact.(MLP) | 3<br>1<br>400<br>0.33<br>0.33<br>0.33<br>0.05<br>ELU |\n| --- | --- | --- |\n| Initialization |  |  |\n| Model<br>Wrd<br>Chr<br>Chr,Wrd,Mt | Parameter<br>embeddings<br>embeddings<br>MLP | Value<br>Zero<br>Gaussian<br>Gaussian |\n| Training |  |  |\n| Model | Parameter | Value |\n| Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt<br>Chr,Wrd,Mt | Optimizer<br>Loss<br>Learningrate<br>Decay<br>Adamepsilon<br>beta1<br>beta2 | Adam<br>Crossentropy<br>0.002<br>0.999994<br>1e-08<br>0.9<br>0.999 |",0]
["| 32 | 64(2ﬁlters) | 64(4ﬁlters) | 64(InvConv) |\n| --- | --- | --- | --- |\n|  | 3<br>[64×1] |  |  |\n| 3<br>[32×1] | Conv(3)<br>3<br>[32×32] |  |  |","| Conv(3)<br>3<br>[16×32] | Conv(3)<br>3<br>[16×48] |  |  |\n| --- | --- | --- | --- |\n| Conv(3)<br>3<br>[8×48] | Conv(3)<br>3<br>[8×64] |  |  |\n| Conv(3)<br>3<br>[4×64] | Conv(3)<br>3<br>[4×80] |  |  |\n| FC<br>[1024] | FC<br>[1024] |  |  |\n| FC<br>[1024] | FC<br>[1024] |  |  |\n| FC<br>3<br>[4×80] | FC<br>3<br>[4×96] |  |  |\n| Deconv(2)<br>3<br>[8×64] | Deconv(2)<br>3<br>[8×80] |  |  |\n| Conv(3)→l1<br>3<br>[8×64] | Conv(3)<br>3<br>[8×80] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[16×48] | 3<br>Deconv(2)<br>3<br>[16×64] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[32×32] | 3<br>Conv(3)→l1<br>3<br>[16×64] |  |  |\n|  | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(4)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[32×48]<br>3<br>OGNConv*(3)→l2<br>3<br>[32×48] |\n|  | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(4)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[64×32]<br>3<br>OGNConv*(3)→l3<br>3<br>[64×32] |",1]
["| 32 | 64(2ﬁlters) | 64(4ﬁlters) | 64(InvConv) |\n| --- | --- | --- | --- |\n|  | 3<br>[64×1] |  |  |\n| 3<br>[32×1] | Conv(3)<br>3<br>[32×32] |  |  |","| [137×137×3] |\n| --- |\n| Conv(7×7)<br>[69×69×32] |\n| Conv(3×3)<br>[35×35×32] |\n| Conv(3×3)<br>[18×18×64] |\n| Conv(3×3)<br>[9×9×64] |\n| Conv(3×3)<br>[5×5×128] |\n| FC<br>[1024] |\n| FC<br>[1024] |\n| FC<br>3<br>[4×c] |",0]
["| 32 | 64(2ﬁlters) | 64(4ﬁlters) | 64(InvConv) |\n| --- | --- | --- | --- |\n|  | 3<br>[64×1] |  |  |\n| 3<br>[32×1] | Conv(3)<br>3<br>[32×32] |  |  |","| Conv(3)<br>3<br>[16×32] | Conv(3)<br>3<br>[16×48] |  |  |\n| --- | --- | --- | --- |\n| Conv(3)<br>3<br>[8×48] | Conv(3)<br>3<br>[8×64] |  |  |\n| Conv(3)<br>3<br>[4×64] | Conv(3)<br>3<br>[4×80] |  |  |\n| FC<br>[1024] | FC<br>[1024] |  |  |\n| FC<br>[1024] | FC<br>[1024] |  |  |\n| FC<br>3<br>[4×80] | FC<br>3<br>[4×96] |  |  |\n| Deconv(2)<br>3<br>[8×64] | Deconv(2)<br>3<br>[8×80] |  |  |\n| Conv(3)→l1<br>3<br>[8×64] | Conv(3)<br>3<br>[8×80] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[16×48] | 3<br>Deconv(2)<br>3<br>[16×64] |  |  |\n| OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[32×32] | 3<br>Conv(3)→l1<br>3<br>[16×64] |  |  |\n|  | OGNProp<br>3<br>OGNConv(2)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(4)→l2<br>3<br>[32×48] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[32×48]<br>3<br>OGNConv*(3)→l2<br>3<br>[32×48] |\n|  | OGNProp<br>3<br>OGNConv(2)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(4)→l3<br>3<br>[64×32] | OGNProp<br>3<br>OGNConv(2)<br>3<br>[64×32]<br>3<br>OGNConv*(3)→l3<br>3<br>[64×32] |",1]
["| 32 | 64(2ﬁlters) | 64(4ﬁlters) | 64(InvConv) |\n| --- | --- | --- | --- |\n|  | 3<br>[64×1] |  |  |\n| 3<br>[32×1] | Conv(3)<br>3<br>[32×32] |  |  |","| FC<br>[1024] |\n| --- |\n| FC<br>3<br>[4×c] |",0]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 5.802 | 2.015 | 1.512 |\n| Plane2 | 5.166 | 4.117 | 1.215 |","| Plane3 | 3.002 | 3.481 | 0.405 |\n| --- | --- | --- | --- |\n| Plane4 | 2.479 | 0.483 | 1.171 |\n| Plane5 | 7.632 | 14.022 | 2.117 |",1]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 5.802 | 2.015 | 1.512 |\n| Plane2 | 5.166 | 4.117 | 1.215 |","|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 6.942 | 0.8080 | 2.716 |\n| Plane2 | 4.206 | 3.7432 | 0.854 |\n| Plane3 | 4.864 | 4.5740 | 1.656 |\n| Plane4 | 1.640 | 0.1930 | 0.353 |\n| Plane5 | 833.587 | 1482 | 17.741 |",0]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 5.802 | 2.015 | 1.512 |\n| Plane2 | 5.166 | 4.117 | 1.215 |\n| Plane3 | 3.002 | 3.481 | 0.405 |","| Plane4 | 2.479 | 0.483 | 1.171 |\n| --- | --- | --- | --- |\n| Plane5 | 7.632 | 14.022 | 2.117 |",1]
["|  | P-average(mm) | D-average(mm) | R(pixels) |\n| --- | --- | --- | --- |\n| Plane1 | 5.802 | 2.015 | 1.512 |\n| Plane2 | 5.166 | 4.117 | 1.215 |\n| Plane3 | 3.002 | 3.481 | 0.405 |","| Plane3 | 4.864 | 4.5740 | 1.656 |\n| --- | --- | --- | --- |\n| Plane4 | 1.640 | 0.1930 | 0.353 |\n| Plane5 | 833.587 | 1482 | 17.741 |",0]
["| NumberofApps | NumberofHLI |\n| --- | --- |\n| 176 | [1,49) |\n| 13 | [49,97) |\n| 2 | [97,145) |","| 0 | [145,193) |\n| --- | --- |\n| 3 | [193,241) |",1]
["| NumberofApps | NumberofHLI |\n| --- | --- |\n| 176 | [1,49) |\n| 13 | [49,97) |\n| 2 | [97,145) |","| Numberofpairsexcluded |  |\n| --- | --- |\n| EdgeThreshold(60 | 3398 |\n| 65 | 3440 |\n| 70 | 3428 |\n| 75 | 3409 |\n| 80 | 2696 |\n| 85 | 2409 |\n| 90 | 1837 |\n| 95 | 1707 |",0]
["| NumberofApps | NumberofHLI |\n| --- | --- |\n| 176 | [1,49) |\n| 13 | [49,97) |","| 2 | [97,145) |\n| --- | --- |\n| 0 | [145,193) |\n| 3 | [193,241) |",1]
["| NumberofApps | NumberofHLI |\n| --- | --- |\n| 176 | [1,49) |\n| 13 | [49,97) |","| 90 | 1837 |\n| --- | --- |\n| 95 | 1707 |",0]
["|  |  | MKCF(Ours) | UT | TI | Mendesetal. |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | Type | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP |\n| Sherbroo | Cars<br>ePedestrians<br>AllObjects | 0.789<br>0.671<br>0.763 | 11.82<br>7.63<br>10.55 | 0.887<br>0.705<br>0.787 | 10.59<br>6.61<br>8.64 | 0.825<br>0.014<br>0.3841 | 7.42<br>11.98<br>7.54 | 0.707<br>0.601<br>0.695 | 13.21<br>7.97<br>9.95 |","| Rouen | Cars<br>Pedestrians<br>Cyclists<br>AllObjects | 0.813<br>0.804<br>0.890<br>0.813 | 14.86<br>14.81<br>14.67<br>14.86 | 0.896<br>0.830<br>0.927<br>0.844 | 9.73<br>13.77<br>14.13<br>13.19 | 0.185<br>0.647<br>0.869<br>0.589 | 66.69<br>20.04<br>13.11<br>24.20 | 0.918<br>0.672<br>0.881<br>0.718 | 11.41<br>14.88<br>13.67<br>14.29 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| St-<br>Marc | Cars<br>Pedestrians<br>Cyclists<br>AllObjects | 0.590<br>0.834<br>0.975<br>0.825 | 12.54<br>7.35<br>6.33<br>7.93 | 0.889<br>0.730<br>0.989<br>0.764 | 10.90<br>5.05<br>6.39<br>5.99 | -0.178<br>0.693<br>0.895<br>0.602 | 38.99<br>10.44<br>7.46<br>14.58 | 0.713<br>0.505<br>0.935<br>0.560 | 11.44<br>7.09<br>6.30<br>7.71 |\n| Rene-<br>Levesqu | Cars<br>Cyclists<br>AllObjects | 0.855<br>0.291<br>0.572 | 2.72<br>2.77<br>2.74 | 0.796<br>0.232<br>0.723 | 3.04<br>2.20<br>2.98 | 0.547<br>0.232<br>0.503 | 5.23<br>3.14<br>5.10 | 0.163<br>0.216<br>0.402 | 7.09<br>2.26<br>2.95 |",1]
["|  |  | MKCF(Ours) | UT | TI | Mendesetal. |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | Type | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP |\n| Sherbroo | Cars<br>ePedestrians<br>AllObjects | 0.789<br>0.671<br>0.763 | 11.82<br>7.63<br>10.55 | 0.887<br>0.705<br>0.787 | 10.59<br>6.61<br>8.64 | 0.825<br>0.014<br>0.3841 | 7.42<br>11.98<br>7.54 | 0.707<br>0.601<br>0.695 | 13.21<br>7.97<br>9.95 |","|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |\n| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["|  |  | MKCF(Ours) | UT | TI | Mendesetal. |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | Type | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP |","| Sherbroo | Cars<br>ePedestrians<br>AllObjects | 0.789<br>0.671<br>0.763 | 11.82<br>7.63<br>10.55 | 0.887<br>0.705<br>0.787 | 10.59<br>6.61<br>8.64 | 0.825<br>0.014<br>0.3841 | 7.42<br>11.98<br>7.54 | 0.707<br>0.601<br>0.695 | 13.21<br>7.97<br>9.95 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rouen | Cars<br>Pedestrians<br>Cyclists<br>AllObjects | 0.813<br>0.804<br>0.890<br>0.813 | 14.86<br>14.81<br>14.67<br>14.86 | 0.896<br>0.830<br>0.927<br>0.844 | 9.73<br>13.77<br>14.13<br>13.19 | 0.185<br>0.647<br>0.869<br>0.589 | 66.69<br>20.04<br>13.11<br>24.20 | 0.918<br>0.672<br>0.881<br>0.718 | 11.41<br>14.88<br>13.67<br>14.29 |\n| St-<br>Marc | Cars<br>Pedestrians<br>Cyclists<br>AllObjects | 0.590<br>0.834<br>0.975<br>0.825 | 12.54<br>7.35<br>6.33<br>7.93 | 0.889<br>0.730<br>0.989<br>0.764 | 10.90<br>5.05<br>6.39<br>5.99 | -0.178<br>0.693<br>0.895<br>0.602 | 38.99<br>10.44<br>7.46<br>14.58 | 0.713<br>0.505<br>0.935<br>0.560 | 11.44<br>7.09<br>6.30<br>7.71 |\n| Rene-<br>Levesqu | Cars<br>Cyclists<br>AllObjects | 0.855<br>0.291<br>0.572 | 2.72<br>2.77<br>2.74 | 0.796<br>0.232<br>0.723 | 3.04<br>2.20<br>2.98 | 0.547<br>0.232<br>0.503 | 5.23<br>3.14<br>5.10 | 0.163<br>0.216<br>0.402 | 7.09<br>2.26<br>2.95 |",1]
["|  |  | MKCF(Ours) | UT | TI | Mendesetal. |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | Type | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP | MOTA | MOTP |","| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",0]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.08 | 1.00±0.00 | 0.7976±0.06 | 53,525±2705 |\n| Baseline | 1.00±0.00 | 0.91±0.11 | 0.9492±0.07 | 3,174±675 |","| MIMB | 0.95±0.08 | 0.94±0.08 | 0.9421±0.06 | 1,738±184 |\n| --- | --- | --- | --- | --- |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.68±0.09 | 0.95±0.11 | 0.7876±0.07 | 62,228±2608 |\n| Baseline | 1.00±0.00 | 0.71±0.14 | 0.8199±0.09 | 3,821±777 |\n| MIMB | 0.95±0.08 | 0.93±0.10 | 0.9358±0.08 | 1,968±298 |",1]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.08 | 1.00±0.00 | 0.7976±0.06 | 53,525±2705 |\n| Baseline | 1.00±0.00 | 0.91±0.11 | 0.9492±0.07 | 3,174±675 |","| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.80±0.11 | 52,042±3010 |\n| Baseline | 1.00±0.00 | 0.83±0.14 | 0.90±0.09 | 3,837±598 |\n| MIMB | 0.84±0.10 | 0.96±0.12 | 0.89±0.08 | 2,166±307 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.80±0.13 | 0.92±0.13 | 0.84±0.06 | 61,841±9378 |\n| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |\n| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 |",0]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.08 | 1.00±0.00 | 0.7976±0.06 | 53,525±2705 |","| Baseline | 1.00±0.00 | 0.91±0.11 | 0.9492±0.07 | 3,174±675 |\n| --- | --- | --- | --- | --- |\n| MIMB | 0.95±0.08 | 0.94±0.08 | 0.9421±0.06 | 1,738±184 |\n|  | α=0.05 |  |  |  |\n| He-Geng | 0.68±0.09 | 0.95±0.11 | 0.7876±0.07 | 62,228±2608 |\n| Baseline | 1.00±0.00 | 0.71±0.14 | 0.8199±0.09 | 3,821±777 |\n| MIMB | 0.95±0.08 | 0.93±0.10 | 0.9358±0.08 | 1,968±298 |",1]
["| Algorithm | α=0.01 |  |  |  |\n| --- | --- | --- | --- | --- |\n| recall | precision | F1 | nTest |  |\n| He-Geng | 0.67±0.08 | 1.00±0.00 | 0.7976±0.06 | 53,525±2705 |","| Baseline | 1.00±0.00 | 0.71±0.08 | 0.83±0.05 | 4,237±567 |\n| --- | --- | --- | --- | --- |\n| MIMB | 0.90±0.11 | 0.94±0.10 | 0.92±0.09 | 2,827±442 |",0]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.369 | 368.298(1.94) | 184.141(3.88) | 92.165(7.76) | 53.453(13.38) |\n| Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |\n| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | 22.403(12.3) |","| SendMore | 115.183 | 65.271(1.76) | 31.447(3.66) | 16.496(6.98) | 9.686(11.89) |\n| --- | --- | --- | --- | --- | --- |\n| 8-Costas | 66.392 | 34.281(1.93) | 17.192(3.86) | 8.680(7.64) | 5.202(12.76) |\n| 8-Puzzle | 52.945 | 29.601(1.78) | 15.026(3.52) | 7.845(6.74) | 4.754(11.13) |\n| Bart | 25.562 | 15.411(1.65) | 6.868(3.72) | 3.577(7.14) | 2.144(11.93) |\n| Solitaire | 12.912 | 7.598(1.69) | 3.813(3.38) | 2.029(6.36) | 1.335(9.67) |\n| 10-Queens | 7.575 | 3.922(1.93) | 2.087(3.62) | 1.378(5.49) | 1.141(6.63) |\n| Hamilton | 6.895 | 3.879(1.77) | 1.940(3.55) | 1.151(5.99) | 0.761(9.06) |\n| MapColoring | 2.036 | 1.298(1.56) | 0.696(2.92) | 0.479(4.25) | 0.430(4.73) |\n| 8-Queens | 0.306 | 0.198(1.54) | 0.143(2.13) | 0.157(1.94) | 0.149(2.05) |",1]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.369 | 368.298(1.94) | 184.141(3.88) | 92.165(7.76) | 53.453(13.38) |\n| Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |\n| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | 22.403(12.3) |","| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |\n| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |\n| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |\n| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |\n| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |\n| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |\n| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |\n| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |\n| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",0]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.369 | 368.298(1.94) | 184.141(3.88) | 92.165(7.76) | 53.453(13.38) |\n| Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |\n| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | 22.403(12.3) |\n| SendMore | 115.183 | 65.271(1.76) | 31.447(3.66) | 16.496(6.98) | 9.686(11.89) |","| 8-Costas | 66.392 | 34.281(1.93) | 17.192(3.86) | 8.680(7.64) | 5.202(12.76) |\n| --- | --- | --- | --- | --- | --- |\n| 8-Puzzle | 52.945 | 29.601(1.78) | 15.026(3.52) | 7.845(6.74) | 4.754(11.13) |\n| Bart | 25.562 | 15.411(1.65) | 6.868(3.72) | 3.577(7.14) | 2.144(11.93) |\n| Solitaire | 12.912 | 7.598(1.69) | 3.813(3.38) | 2.029(6.36) | 1.335(9.67) |\n| 10-Queens | 7.575 | 3.922(1.93) | 2.087(3.62) | 1.378(5.49) | 1.141(6.63) |\n| Hamilton | 6.895 | 3.879(1.77) | 1.940(3.55) | 1.151(5.99) | 0.761(9.06) |\n| MapColoring | 2.036 | 1.298(1.56) | 0.696(2.92) | 0.479(4.25) | 0.430(4.73) |\n| 8-Queens | 0.306 | 0.198(1.54) | 0.143(2.13) | 0.157(1.94) | 0.149(2.05) |",1]
["| Benchmark | #Agents<br>124814 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 9-Costas | 715.369 | 368.298(1.94) | 184.141(3.88) | 92.165(7.76) | 53.453(13.38) |\n| Stable | 653.705 | 368.943(1.77) | 185.474(3.52) | 92.811(7.04) | 53.860(12.13) |\n| Knight | 275.737 | 141.213(1.95) | 70.528(3.9) | 35.539(7.75) | 22.403(12.3) |\n| SendMore | 115.183 | 65.271(1.76) | 31.447(3.66) | 16.496(6.98) | 9.686(11.89) |","| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |\n| --- | --- | --- | --- | --- | --- |\n| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |\n| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |\n| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) |",0]
["| Model | F1measure |  |  |\n| --- | --- | --- | --- |\n|  | forward | backward | bidirectional |\n| lstm<br>gru | 95.12<br>95.43 | –<br>– | 95.23<br>95.53 |","| E-rnn<br>J-rnn<br>I-rnn | 94.73<br>94.94<br>95.21 | 93.61<br>94.80<br>94.64 | 94.71<br>94.89<br>94.75 |\n| --- | --- | --- | --- |\n| I-rnnWordsGRU | 93.58 | 93.81 | 93.83 |\n| I-rnnWords<br>I-rnnWords+Classes<br>I-rnnWords+Classes+CC | 94.31<br>95.37<br>95.40 | 94.32<br>95.44<br>95.39 | 94.47<br>95.56<br>95.46 |\n| I-rnnWordsdeep<br>I-rnnWords+Classesdeep<br>I-rnnWords+Classes+CCdeep | 94.47<br>95.67<br>95.56 | 94.29<br>95.54<br>95.39 | 94.52<br>95.60<br>95.53 |",1]
["| Model | F1measure |  |  |\n| --- | --- | --- | --- |\n|  | forward | backward | bidirectional |\n| lstm<br>gru | 95.12<br>95.43 | –<br>– | 95.23<br>95.53 |","| Model | Manuallyadded |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Tagset | full | reduced | full |  |  |  |  |  |  |\n| Previouslytrainedmodel | – | – | no | yes | no |  |  |  |  |\n| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["| Model | F1measure |  |  |\n| --- | --- | --- | --- |\n|  | forward | backward | bidirectional |","| lstm<br>gru | 95.12<br>95.43 | –<br>– | 95.23<br>95.53 |\n| --- | --- | --- | --- |\n| E-rnn<br>J-rnn<br>I-rnn | 94.73<br>94.94<br>95.21 | 93.61<br>94.80<br>94.64 | 94.71<br>94.89<br>94.75 |\n| I-rnnWordsGRU | 93.58 | 93.81 | 93.83 |\n| I-rnnWords<br>I-rnnWords+Classes<br>I-rnnWords+Classes+CC | 94.31<br>95.37<br>95.40 | 94.32<br>95.44<br>95.39 | 94.47<br>95.56<br>95.46 |\n| I-rnnWordsdeep<br>I-rnnWords+Classesdeep<br>I-rnnWords+Classes+CCdeep | 94.47<br>95.67<br>95.56 | 94.29<br>95.54<br>95.39 | 94.52<br>95.60<br>95.53 |",1]
["| Model | F1measure |  |  |\n| --- | --- | --- | --- |\n|  | forward | backward | bidirectional |","| Maximumsuﬃxlenght<br>parameter | – | – | 15 | 5 | 15 | 5 | 15 | 5 | 15 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Numberofsuﬃxes<br>Maximumsuﬃxlenght<br>Totalnumberoftags<br>Tagspersuﬃx | 208<br>–<br>376<br>1.8 | 208<br>–<br>362<br>1.7 | 16<br>1<br>97<br>6 | 94<br>4<br>445<br>4.7 | 16<br>1<br>97<br>6 | 100<br>4<br>340<br>3.4 | 16<br>1<br>87<br>5.4 | 78<br>4<br>418<br>5.4 | 16<br>2<br>51<br>3.2 |",0]
["| Name | SpectralSDPGT | IndexM-treeLSH |\n| --- | --- | --- |\n| Facebook | 0.00970.10740.1044 | 0.10820.08270.0340 |\n| Gplus | 0.01190.15930.1544 | 0.16020.12070.0500 |\n| Twitter | 0.00350.04800.0465 | 0.04830.03630.0150 |\n| Epinions1 | 0.00870.12470.1208 | 0.12540.09410.0390 |\n| LiveJournal1 | 0.00390.07030.0680 | 0.07060.05230.0218 |\n| Pokec | 0.00090.01740.0168 | 0.01750.01290.0054 |\n| Slashdot0811 | 0.00050.00970.0094 | 0.00980.00720.0030 |","| Slashdot0922 | 0.00070.01380.0133 | 0.01380.01020.0043 |\n| --- | --- | --- |\n| Friendster | 0.00120.02730.0263 | 0.02730.02000.0084 |\n| Orkut | 0.00160.04110.0397 | 0.04120.03000.0126 |\n| Youtube | 0.00310.08690.0838 | 0.08710.06330.0267 |\n| DBLP | 0.00070.02100.0203 | 0.02110.01520.0064 |\n| Arxiv-AstroPh | 0.00240.09290.0895 | 0.09310.06690.0283 |\n| web-Stanford | 0.00070.03200.0308 | 0.03200.02290.0097 |\n| Amazon0601 | 0.00180.08990.0865 | 0.09000.06430.0273 |\n| P2P-Gnutella31 | 0.00090.05220.0503 | 0.05230.03730.0158 |\n| RoadNet-CA | 0.00240.15020.1445 | 0.15040.10700.0455 |\n| Wiki-Vote | 0.00260.18530.1783 | 0.18550.13180.0561 |",1]
["| Name | SpectralSDPGT | IndexM-treeLSH |\n| --- | --- | --- |\n| Facebook | 0.00970.10740.1044 | 0.10820.08270.0340 |\n| Gplus | 0.01190.15930.1544 | 0.16020.12070.0500 |\n| Twitter | 0.00350.04800.0465 | 0.04830.03630.0150 |\n| Epinions1 | 0.00870.12470.1208 | 0.12540.09410.0390 |\n| LiveJournal1 | 0.00390.07030.0680 | 0.07060.05230.0218 |\n| Pokec | 0.00090.01740.0168 | 0.01750.01290.0054 |\n| Slashdot0811 | 0.00050.00970.0094 | 0.00980.00720.0030 |","| Dataset | Type | #Nodes | #Edges |\n| --- | --- | --- | --- |\n| DBLP-2011 | undirected | 1.0M | 6.7M |\n| Pokec | directed | 1.6M | 30.6M |\n| LiveJournal | undirected | 4.8M | 69M |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["| Name | SpectralSDPGT | IndexM-treeLSH |\n| --- | --- | --- |\n| Facebook | 0.00970.10740.1044 | 0.10820.08270.0340 |\n| Gplus | 0.01190.15930.1544 | 0.16020.12070.0500 |\n| Twitter | 0.00350.04800.0465 | 0.04830.03630.0150 |\n| Epinions1 | 0.00870.12470.1208 | 0.12540.09410.0390 |\n| LiveJournal1 | 0.00390.07030.0680 | 0.07060.05230.0218 |\n| Pokec | 0.00090.01740.0168 | 0.01750.01290.0054 |","| Slashdot0811 | 0.00050.00970.0094 | 0.00980.00720.0030 |\n| --- | --- | --- |\n| Slashdot0922 | 0.00070.01380.0133 | 0.01380.01020.0043 |\n| Friendster | 0.00120.02730.0263 | 0.02730.02000.0084 |\n| Orkut | 0.00160.04110.0397 | 0.04120.03000.0126 |\n| Youtube | 0.00310.08690.0838 | 0.08710.06330.0267 |\n| DBLP | 0.00070.02100.0203 | 0.02110.01520.0064 |\n| Arxiv-AstroPh | 0.00240.09290.0895 | 0.09310.06690.0283 |\n| web-Stanford | 0.00070.03200.0308 | 0.03200.02290.0097 |\n| Amazon0601 | 0.00180.08990.0865 | 0.09000.06430.0273 |\n| P2P-Gnutella31 | 0.00090.05220.0503 | 0.05230.03730.0158 |\n| RoadNet-CA | 0.00240.15020.1445 | 0.15040.10700.0455 |\n| Wiki-Vote | 0.00260.18530.1783 | 0.18550.13180.0561 |",1]
["| Name | SpectralSDPGT | IndexM-treeLSH |\n| --- | --- | --- |\n| Facebook | 0.00970.10740.1044 | 0.10820.08270.0340 |\n| Gplus | 0.01190.15930.1544 | 0.16020.12070.0500 |\n| Twitter | 0.00350.04800.0465 | 0.04830.03630.0150 |\n| Epinions1 | 0.00870.12470.1208 | 0.12540.09410.0390 |\n| LiveJournal1 | 0.00390.07030.0680 | 0.07060.05230.0218 |\n| Pokec | 0.00090.01740.0168 | 0.01750.01290.0054 |","| LiveJournal | undirected | 4.8M | 69M |\n| --- | --- | --- | --- |\n| Orkut | undirected | 3.1M | 117M |\n| Twitter-2010 | directed | 42M | 1.5B |\n| UK-2007-05 | directed | 106M | 3.7B |",0]
["|  | Cluster1(similar) | Cluster2(Non-similar) | Cluster3others |\n| --- | --- | --- | --- |\n| EuclideanMetric | 23 | 3 | 16 |","| Minkowski,p=3 | 81 | 7 | 17 |\n| --- | --- | --- | --- |\n| ManhattanMetric | 23 | 3 | 16 |\n| HammingMetric | 23 | 3 | 16 |\n| PQ-GramMetric | 15 | 15 | 12 |\n| EditDistanceMetric | 16 | 15 | 11 |",1]
["|  | Cluster1(similar) | Cluster2(Non-similar) | Cluster3others |\n| --- | --- | --- | --- |\n| EuclideanMetric | 23 | 3 | 16 |","| Euclideandistance | dvalueofdatalake | dvalueofDW |\n| --- | --- | --- |\n| Cluster1 | 0.64 | 0.76 |\n| Cluster2 | 0.71 | 0.87 |\n| Cluster3 | 0.65 | 0.87 |\n| Cluster4 | 0.88 | 0.99 |",0]
["|  | Cluster1(similar) | Cluster2(Non-similar) | Cluster3others |\n| --- | --- | --- | --- |\n| EuclideanMetric | 23 | 3 | 16 |\n| Minkowski,p=3 | 81 | 7 | 17 |","| ManhattanMetric | 23 | 3 | 16 |\n| --- | --- | --- | --- |\n| HammingMetric | 23 | 3 | 16 |\n| PQ-GramMetric | 15 | 15 | 12 |\n| EditDistanceMetric | 16 | 15 | 11 |",1]
["|  | Cluster1(similar) | Cluster2(Non-similar) | Cluster3others |\n| --- | --- | --- | --- |\n| EuclideanMetric | 23 | 3 | 16 |\n| Minkowski,p=3 | 81 | 7 | 17 |","| Cluster2 | 0.71 | 0.87 |\n| --- | --- | --- |\n| Cluster3 | 0.65 | 0.87 |\n| Cluster4 | 0.88 | 0.99 |",0]
["|  | Featuresandlabels |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| f0 | f1 | f2 | f3 | f4 | f5 | f6 | f7 | label | pred |  |\n| True1 | 4 | 0 | 7 | 7 | 0 | 0 | 0 | 0 | 3 | 3 |","| True2 | 5 | 0 | 0 | 5 | 9 | 5 | 3 | 6 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wrong1 | 5 | 6 | 7 | 9 | 6 | 4 | 7 | 9 | 5 | 9 |",1]
["|  | Featuresandlabels |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| f0 | f1 | f2 | f3 | f4 | f5 | f6 | f7 | label | pred |  |\n| True1 | 4 | 0 | 7 | 7 | 0 | 0 | 0 | 0 | 3 | 3 |","| Labels | Road | Road | Road,Wood | Road,Wood | Wood | Wood |\n| --- | --- | --- | --- | --- | --- | --- |\n| cAw | 100 | 30 | 40 | 50 | 10 | 20 |\n| cAm | 20 | 3 | 4 | 5 | 1 | 2 |\n| cBw | 10 | 7 | 45 | 55 | 30 | 50 |\n| cCw | 15 | 12 | 35 | 40 | 15 | 25 |\n| cCw | 10 | 3 | 4 | 5 | 1 | 2 |",0]
["|  | Featuresandlabels |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| f0 | f1 | f2 | f3 | f4 | f5 | f6 | f7 | label | pred |  |\n| True1 | 4 | 0 | 7 | 7 | 0 | 0 | 0 | 0 | 3 | 3 |","| True2 | 5 | 0 | 0 | 5 | 9 | 5 | 3 | 6 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Wrong1 | 5 | 6 | 7 | 9 | 6 | 4 | 7 | 9 | 5 | 9 |",1]
["|  | Featuresandlabels |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| f0 | f1 | f2 | f3 | f4 | f5 | f6 | f7 | label | pred |  |\n| True1 | 4 | 0 | 7 | 7 | 0 | 0 | 0 | 0 | 3 | 3 |","| cBw | 10 | 7 | 45 | 55 | 30 | 50 |\n| --- | --- | --- | --- | --- | --- | --- |\n| cCw | 15 | 12 | 35 | 40 | 15 | 25 |\n| cCw | 10 | 3 | 4 | 5 | 1 | 2 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 80000 | 25000 | 15000 |\n| 450000 | 100000 | 20000 | 30000 |\n| 45000 | 25000 | 30000 | 80000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 35000 | 150000 | 5000 | 10000 |\n| 50000 | 5000 | 40000 | 60000 |","| 200000 | 20000 | 50000 | 70000 |\n| --- | --- | --- | --- |\n| 70000 | 35000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 80000 | 25000 | 15000 |\n| 450000 | 100000 | 20000 | 30000 |\n| 45000 | 25000 | 30000 | 80000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 35000 | 150000 | 5000 | 10000 |\n| 50000 | 5000 | 40000 | 60000 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 5000 | 25000 | 15000 |\n| 450000 | 15000 | 20000 | 30000 |\n| 45000 | 20000 | 30000 | 80000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 50000 | 80000 | 40000 | 60000 |\n| 200000 | 100000 | 50000 | 70000 |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 80000 | 25000 | 15000 |\n| 450000 | 100000 | 20000 | 30000 |\n| 45000 | 25000 | 30000 | 80000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 35000 | 150000 | 5000 | 10000 |","| 50000 | 5000 | 40000 | 60000 |\n| --- | --- | --- | --- |\n| 200000 | 20000 | 50000 | 70000 |\n| 70000 | 35000 | 200000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 180000 | 80000 | 25000 | 15000 |\n| 450000 | 100000 | 20000 | 30000 |\n| 45000 | 25000 | 30000 | 80000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 35000 | 150000 | 5000 | 10000 |","| 450000 | 15000 | 20000 | 30000 |\n| --- | --- | --- | --- |\n| 45000 | 20000 | 30000 | 80000 |\n| 150000 | 25000 | 10000 | 5000 |\n| 35000 | 35000 | 5000 | 10000 |\n| 50000 | 80000 | 40000 | 60000 |\n| 200000 | 100000 | 50000 | 70000 |\n| 70000 | 150000 | 200000 | 100000 |",0]
["| block-size/sparsity | top-10 | top-20 | top-30 | top-40 |\n| --- | --- | --- | --- | --- |\n| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |\n| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |\n| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |","| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| --- | --- | --- | --- | --- |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",1]
["| block-size/sparsity | top-10 | top-20 | top-30 | top-40 |\n| --- | --- | --- | --- | --- |\n| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |\n| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |\n| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |","| Level-1<br>(Block-size/<br>sparsity) | Level-2<br>(Block-size/<br>sparsity) | Top-1Accuracy | Top-5Accuracy |\n| --- | --- | --- | --- |\n| 4x1/60 | – | 74.81(-1.32) | 92.26(-0.60) |\n| 4x1/63 | 1x1/97 | 75.29(-0.84) | 92.57(-0.29) |\n| 4x1/65 | 1x1/95 | 75.38(-0.75) | 92.57(-0.29) |\n| 4x1/70 | 1x1/90 | 75.48(-0.65) | 92.66(-0.20) |\n| 4x1/80 | 1x1/80 | 75.53(-0.60) | 92.77(-0.09) |\n| – | 1x1/60 | 75.76(-0.37) | 92.85(-0.01) |",0]
["| block-size/sparsity | top-10 | top-20 | top-30 | top-40 |\n| --- | --- | --- | --- | --- |\n| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |","| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |\n| --- | --- | --- | --- | --- |\n| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |\n| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",1]
["| block-size/sparsity | top-10 | top-20 | top-30 | top-40 |\n| --- | --- | --- | --- | --- |\n| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |","| 4x1/63 | 1x1/97 | 75.29(-0.84) | 92.57(-0.29) |\n| --- | --- | --- | --- |\n| 4x1/65 | 1x1/95 | 75.38(-0.75) | 92.57(-0.29) |\n| 4x1/70 | 1x1/90 | 75.48(-0.65) | 92.66(-0.20) |\n| 4x1/80 | 1x1/80 | 75.53(-0.60) | 92.77(-0.09) |\n| – | 1x1/60 | 75.76(-0.37) | 92.85(-0.01) |",0]
["| Architecture | CIFAR-10(LR) | CIFAR-100(LR) |\n| --- | --- | --- |\n| ResNet | 92.8(0.1) | 71.2(0.1) |\n| ResNet | 93.3(0.2) | 71.6(0.2) |\n| ResNet | 91.8(0.3) | 71.9(0.3) |\n| ResNet+CLR | 93.6(0.1−0.3) | 72.5(0.1−0.3) |\n| SD | 94.6(0.1) | 75.2(0.1) |","| SD | 94.5(0.2) | 75.2(0.2) |\n| --- | --- | --- |\n| SD | 94.2(0.3) | 74.6(0.3) |\n| SD+CLR | 94.5(0.1−0.3) | 75.4(0.1−0.3) |\n| DenseNet | 94.5(0.1) | 75.2(0.1) |\n| DenseNet | 94.5(0.2) | 75.3(0.2) |\n| DenseNet | 94.2(0.3) | 74.5(0.3) |\n| DenseNet+CLR | 94.9(0.1−0.2) | 75.9(0.1−0.2) |",1]
["| Architecture | CIFAR-10(LR) | CIFAR-100(LR) |\n| --- | --- | --- |\n| ResNet | 92.8(0.1) | 71.2(0.1) |\n| ResNet | 93.3(0.2) | 71.6(0.2) |\n| ResNet | 91.8(0.3) | 71.9(0.3) |\n| ResNet+CLR | 93.6(0.1−0.3) | 72.5(0.1−0.3) |\n| SD | 94.6(0.1) | 75.2(0.1) |","| CIFAR-10 | Float | Binary | Ternary |  |  |\n| --- | --- | --- | --- | --- | --- |\n| BWN | Ours | TWN | Ours |  |  |\n| VGG-11 | 91.93 | 88.70 | 89.28 | 90.48 | 91.01 |\n| VGG-16 | 93.59 | 91.60 | 91.98 | 92.75 | 93.20 |\n| ResNet-20 | 92.68 | 87.44 | 87.82 | 88.65 | 90.07 |\n| ResNet-32 | 93.40 | 89.49 | 90.65 | 90.94 | 92.04 |\n| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",0]
["| Architecture | CIFAR-10(LR) | CIFAR-100(LR) |\n| --- | --- | --- |\n| ResNet | 92.8(0.1) | 71.2(0.1) |\n| ResNet | 93.3(0.2) | 71.6(0.2) |","| ResNet | 91.8(0.3) | 71.9(0.3) |\n| --- | --- | --- |\n| ResNet+CLR | 93.6(0.1−0.3) | 72.5(0.1−0.3) |\n| SD | 94.6(0.1) | 75.2(0.1) |\n| SD | 94.5(0.2) | 75.2(0.2) |\n| SD | 94.2(0.3) | 74.6(0.3) |\n| SD+CLR | 94.5(0.1−0.3) | 75.4(0.1−0.3) |\n| DenseNet | 94.5(0.1) | 75.2(0.1) |\n| DenseNet | 94.5(0.2) | 75.3(0.2) |\n| DenseNet | 94.2(0.3) | 74.5(0.3) |\n| DenseNet+CLR | 94.9(0.1−0.2) | 75.9(0.1−0.2) |",1]
["| Architecture | CIFAR-10(LR) | CIFAR-100(LR) |\n| --- | --- | --- |\n| ResNet | 92.8(0.1) | 71.2(0.1) |\n| ResNet | 93.3(0.2) | 71.6(0.2) |","| ResNet-32 | 93.40 | 89.49 | 90.65 | 90.94 | 92.04 |\n| --- | --- | --- | --- | --- | --- |\n| ResNet-18 | 95.49 | 92.72 | 94.19 | 93.55 | 94.98 |\n| ResNet-34 | 95.70 | 93.25 | 94.66 | 94.05 | 95.07 |",0]
["| Phase | NumberofUsers |\n| --- | --- |\n| Crawling3monthsofTweets | 50million |","| FilteringU.S.users | 6million |\n| --- | --- |\n| U.S.userswithproﬁleimage | 2million |\n| U.S.userswithoneface(Baseline) | 1.6million |\n| U.S.userswithcrawledtweets | 304thousand |",1]
["| Phase | NumberofUsers |\n| --- | --- |\n| Crawling3monthsofTweets | 50million |","| Tweets | 196,985,580 |\n| --- | --- |\n| Users | 9,801,062 |\n| Hashtags | 1,341,733 |\n| TweetswithHashtags | 19,043,104 |\n| Retweets | 15,126,588 |\n| TweetswithURLs | 54,443,857 |\n| Direct(@)Tweets | 41,951,786 |",0]
["| Phase | NumberofUsers |\n| --- | --- |\n| Crawling3monthsofTweets | 50million |\n| FilteringU.S.users | 6million |","| U.S.userswithproﬁleimage | 2million |\n| --- | --- |\n| U.S.userswithoneface(Baseline) | 1.6million |\n| U.S.userswithcrawledtweets | 304thousand |",1]
["| Phase | NumberofUsers |\n| --- | --- |\n| Crawling3monthsofTweets | 50million |\n| FilteringU.S.users | 6million |","| Hashtags | 1,341,733 |\n| --- | --- |\n| TweetswithHashtags | 19,043,104 |\n| Retweets | 15,126,588 |\n| TweetswithURLs | 54,443,857 |\n| Direct(@)Tweets | 41,951,786 |",0]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 3 | 36 | 29 | 0.5 | 0.72 |\n| 4 | 1,000 | 288 | 0.25 | 0.288 |\n| 5 | 50,625 | 2,424 | 0.125 | 0.0478 |","| 6 | 4,084,101 | 18,479 | 0.0625 | 0.00452 |\n| --- | --- | --- | --- | --- |\n| 7 | 481,890,304 | 145,134 | 0.03125 | 0.000301 |\n| 8 | 78,364,164,096 | 1,150,386 | 0.015625 | 0.0000147 |",1]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 3 | 36 | 29 | 0.5 | 0.72 |\n| 4 | 1,000 | 288 | 0.25 | 0.288 |\n| 5 | 50,625 | 2,424 | 0.125 | 0.0478 |","| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 4 | 120 | 44 | 0.25 | 0.36 |\n| 5 | 1850 | 210 | 0.125 | 0.113 |\n| 6 | 63,981 | 2,040 | 0.0625 | 0.0318 |\n| 7 | 989,751 | 6,272 | 0.03125 | 0.00634 |\n| 8 | 58,155,904 | 39,808 | 0.015625 | 0.000684 |\n| 9 |  | 198,300 | 0.0078125 |  |\n| 10 |  | 1,933,147 | 0.00390625 |  |",0]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 3 | 36 | 29 | 0.5 | 0.72 |","| 4 | 1,000 | 288 | 0.25 | 0.288 |\n| --- | --- | --- | --- | --- |\n| 5 | 50,625 | 2,424 | 0.125 | 0.0478 |\n| 6 | 4,084,101 | 18,479 | 0.0625 | 0.00452 |\n| 7 | 481,890,304 | 145,134 | 0.03125 | 0.000301 |\n| 8 | 78,364,164,096 | 1,150,386 | 0.015625 | 0.0000147 |",1]
["| n | Deﬁnitional | Pruning | PredictedRatio | ActualRatio |\n| --- | --- | --- | --- | --- |\n| 3 | 36 | 29 | 0.5 | 0.72 |","| 9 |  | 198,300 | 0.0078125 |  |\n| --- | --- | --- | --- | --- |\n| 10 |  | 1,933,147 | 0.00390625 |  |",0]
["| Combination | Pfd | Psd | Pas | Snns | Snn | Sns | Snsp |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C1 | 50 | 50 | 100 | 22.4 | 36.6 | 16.2 | 24.8 |\n| C2 | 50 | 70 | 100 | 31.5 | 27.7 | 22.7 | 18.1 |","| C3 | 20 | 70 | 100 | 14.5 | 11.9 | 41 | 32.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C4 | 20 | 50 | 100 | 10 | 15.9 | 29.2 | 44.9 |\n| C5 | 20 | 50 | 40 | 4 | 22 | 12 | 62 |\n| C6 | 20 | 70 | 40 | 5 | 20 | 16 | 59 |\n| C7 | 50 | 70 | 40 | 12 | 46 | 9 | 33 |\n| C8 | 50 | 50 | 40 | 9 | 45 | 6 | 40 |",1]
["| Combination | Pfd | Psd | Pas | Snns | Snn | Sns | Snsp |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C1 | 50 | 50 | 100 | 22.4 | 36.6 | 16.2 | 24.8 |\n| C2 | 50 | 70 | 100 | 31.5 | 27.7 | 22.7 | 18.1 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| Combination | Pfd | Psd | Pas | Snns | Snn | Sns | Snsp |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C1 | 50 | 50 | 100 | 22.4 | 36.6 | 16.2 | 24.8 |\n| C2 | 50 | 70 | 100 | 31.5 | 27.7 | 22.7 | 18.1 |\n| C3 | 20 | 70 | 100 | 14.5 | 11.9 | 41 | 32.6 |\n| C4 | 20 | 50 | 100 | 10 | 15.9 | 29.2 | 44.9 |","| C5 | 20 | 50 | 40 | 4 | 22 | 12 | 62 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C6 | 20 | 70 | 40 | 5 | 20 | 16 | 59 |\n| C7 | 50 | 70 | 40 | 12 | 46 | 9 | 33 |\n| C8 | 50 | 50 | 40 | 9 | 45 | 6 | 40 |",1]
["| Combination | Pfd | Psd | Pas | Snns | Snn | Sns | Snsp |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| C1 | 50 | 50 | 100 | 22.4 | 36.6 | 16.2 | 24.8 |\n| C2 | 50 | 70 | 100 | 31.5 | 27.7 | 22.7 | 18.1 |\n| C3 | 20 | 70 | 100 | 14.5 | 11.9 | 41 | 32.6 |\n| C4 | 20 | 50 | 100 | 10 | 15.9 | 29.2 | 44.9 |","| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| --- | --- | --- | --- | --- | --- | --- |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 23 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 2 | 9 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 3 | 15 | 58 | 76 | 120 | 129 | 153 | 198 | 235 | 247 |\n| 4 | 23 | 58 | 76 | 120 | 129 | 178 | 185 | 235 | 261 |\n| 5 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 6 | 23 | 58 | 76 | 111 | 129 | 178 | 196 | 224 | 261 |\n| 7 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 8 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 9 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 247 |\n| 10 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 224 | 261 |\n| 11 | 23 | 58 | 76 | 104 | 129 | 178 | 208 | 235 | 261 |","| 12 | 23 | 37 | 76 | 120 | 129 | 154 | 208 | 235 | 261 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 13 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 261 |",1]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 23 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 2 | 9 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 3 | 15 | 58 | 76 | 120 | 129 | 153 | 198 | 235 | 247 |\n| 4 | 23 | 58 | 76 | 120 | 129 | 178 | 185 | 235 | 261 |\n| 5 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 6 | 23 | 58 | 76 | 111 | 129 | 178 | 196 | 224 | 261 |\n| 7 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 8 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 9 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 247 |\n| 10 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 224 | 261 |\n| 11 | 23 | 58 | 76 | 104 | 129 | 178 | 208 | 235 | 261 |","| 16 | 11 | 10 | 16 | 24 | 40 | 51 | 61 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 12 | 14 | 19 | 26 | 58 | 60 | 55 |\n| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 23 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 2 | 9 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |","| 3 | 15 | 58 | 76 | 120 | 129 | 153 | 198 | 235 | 247 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 23 | 58 | 76 | 120 | 129 | 178 | 185 | 235 | 261 |\n| 5 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 6 | 23 | 58 | 76 | 111 | 129 | 178 | 196 | 224 | 261 |\n| 7 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 8 | 23 | 52 | 76 | 120 | 129 | 178 | 208 | 235 | 261 |\n| 9 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 247 |\n| 10 | 23 | 58 | 76 | 120 | 129 | 178 | 208 | 224 | 261 |\n| 11 | 23 | 58 | 76 | 104 | 129 | 178 | 208 | 235 | 261 |\n| 12 | 23 | 37 | 76 | 120 | 129 | 154 | 208 | 235 | 261 |\n| 13 | 23 | 58 | 76 | 104 | 129 | 153 | 195 | 235 | 261 |",1]
["| Group | 4 | 5 | 6 | 7 | 8 | 9 | 11 | 12 | 13 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 23 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |\n| 2 | 9 | 52 | 76 | 104 | 129 | 153 | 185 | 235 | 261 |","| 14 | 13 | 16 | 24 | 40 | 57 | 69 | 56 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 14 | 17 | 22 | 29 | 51 | 87 | 80 | 62 |\n| 18 | 22 | 37 | 56 | 68 | 109 | 103 | 77 |\n| 24 | 35 | 55 | 64 | 81 | 104 | 113 | 92 |\n| 49 | 64 | 78 | 87 | 103 | 121 | 120 | 101 |\n| 72 | 92 | 95 | 98 | 112 | 100 | 103 | 99 |",0]
["| category | ours |  |  |  |\n| --- | --- | --- | --- | --- |\n| bathtub | 0.8348 | 0.7017 | 0.7190 | 0.1644 |","| bed | 0.9202 | 0.7775 | 0.3963 | 0.3239 |\n| --- | --- | --- | --- | --- |\n| chair | 0.9920 | 0.9700 | 0.9892 | 0.8482 |\n| desk | 0.8203 | 0.7936 | 0.8145 | 0.1068 |\n| dresser | 0.7678 | 0.6314 | 0.7010 | 0.2166 |\n| monitor | 0.9473 | 0.2493 | 0.8559 | 0.2767 |\n| nightstand | 0.7195 | 0.6853 | 0.6592 | 0.4969 |\n| sofa | 0.9480 | 0.9276 | 0.3017 | 0.4888 |\n| table | 0.8910 | 0.8377 | 0.8751 | 0.7902 |\n| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |\n| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 |",1]
["| category | ours |  |  |  |\n| --- | --- | --- | --- | --- |\n| bathtub | 0.8348 | 0.7017 | 0.7190 | 0.1644 |","| category | ours |  |  |\n| --- | --- | --- | --- |\n| bathtub | 0.0152 | 0.0266 | 0.0621 |\n| bed | 0.0068 | 0.0240 | 0.0617 |\n| chair | 0.0118 | 0.0238 | 0.0444 |\n| desk | 0.0122 | 0.0298 | 0.0731 |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |\n| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",0]
["| category | ours |  |  |  |\n| --- | --- | --- | --- | --- |\n| bathtub | 0.8348 | 0.7017 | 0.7190 | 0.1644 |\n| bed | 0.9202 | 0.7775 | 0.3963 | 0.3239 |\n| chair | 0.9920 | 0.9700 | 0.9892 | 0.8482 |\n| desk | 0.8203 | 0.7936 | 0.8145 | 0.1068 |\n| dresser | 0.7678 | 0.6314 | 0.7010 | 0.2166 |","| monitor | 0.9473 | 0.2493 | 0.8559 | 0.2767 |\n| --- | --- | --- | --- | --- |\n| nightstand | 0.7195 | 0.6853 | 0.6592 | 0.4969 |\n| sofa | 0.9480 | 0.9276 | 0.3017 | 0.4888 |\n| table | 0.8910 | 0.8377 | 0.8751 | 0.7902 |\n| toilet | 0.9701 | 0.8569 | 0.6943 | 0.8832 |\n| Avg. | 0.8811 | 0.7431 | 0.7006 | 0.4596 |",1]
["| category | ours |  |  |  |\n| --- | --- | --- | --- | --- |\n| bathtub | 0.8348 | 0.7017 | 0.7190 | 0.1644 |\n| bed | 0.9202 | 0.7775 | 0.3963 | 0.3239 |\n| chair | 0.9920 | 0.9700 | 0.9892 | 0.8482 |\n| desk | 0.8203 | 0.7936 | 0.8145 | 0.1068 |\n| dresser | 0.7678 | 0.6314 | 0.7010 | 0.2166 |","| bed | 0.0068 | 0.0240 | 0.0617 |\n| --- | --- | --- | --- |\n| chair | 0.0118 | 0.0238 | 0.0444 |\n| desk | 0.0122 | 0.0298 | 0.0731 |\n| dresser | 0.0038 | 0.0384 | 0.1558 |\n| monitor | 0.0103 | 0.0220 | 0.0783 |\n| nightstand | 0.0080 | 0.0248 | 0.2925 |\n| sofa | 0.0068 | 0.0186 | 0.0563 |\n| table | 0.0051 | 0.0326 | 0.0340 |\n| toilet | 0.0119 | 0.0180 | 0.0977 |\n| Avg. | 0.0092 | 0.0259 | 0.0956 |",0]
["| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |","| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| --- | --- | --- | --- | --- | --- |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",1]
["| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |\n| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |","| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |","| N6 | 1000 | 20 | 100 | 0.1 | 0-500 |\n| --- | --- | --- | --- | --- | --- |\n| N7 | 5000 | 10 | 50 | 0.1 | 0-2000 |\n| N8 | 5000 | 20 | 100 | 0.1 | 0-2000 |",1]
["| NetworkgroupID | N | minc | maxc | µ | On |\n| --- | --- | --- | --- | --- | --- |\n| N1 | 1000 | 10 | 50 | 0-0.5 | 100 |\n| N2 | 1000 | 20 | 100 | 0-0.5 | 100 |\n| N3 | 5000 | 10 | 50 | 0-0.5 | 500 |\n| N4 | 5000 | 20 | 100 | 0-0.5 | 500 |\n| N5 | 1000 | 10 | 50 | 0.1 | 0-500 |","| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| Topology | Size | Detection | Cost |\n| --- | --- | --- | --- |\n| Ring | 9 | nodetection | 0.050 |\n| outlier | 0.276 |  |  |","| fault | 0.921 |  |  |\n| --- | --- | --- | --- |\n| 25 | nodetection | 0.101 |  |\n| outlier | 1.131 |  |  |\n| fault | 3.286 |  |  |\n| Torus | 9 | nodetection | 0.027 |\n| outlier | 0.121 |  |  |\n| fault | 1.327 |  |  |\n| 25 | nodetection | 0.043 |  |\n| outlier | 0.567 |  |  |\n| fault | 6.055 |  |  |\n| Petersen | 10 | nodetection | 0.005 |\n| outlier | 0.135 |  |  |\n| fault | 0.597 |  |  |\n| Random | 10 | nodetection | 0.013 |\n| outlier | 0.290 |  |  |\n| fault | 1.268 |  |  |",1]
["| Topology | Size | Detection | Cost |\n| --- | --- | --- | --- |\n| Ring | 9 | nodetection | 0.050 |\n| outlier | 0.276 |  |  |","| Feature | Non-toptier | Toptier |  |  |\n| --- | --- | --- | --- | --- |\n| Mean | Std.Dev. | Mean | Std.Dev. |  |\n| CRDI | 0.25 | 0.259 | 0.173 | 0.178 |\n| CKDI | 0.536 | 0.504 | 0.396 | 0.419 |\n| CADI | 0.121 | 0.146 | 0.076 | 0.068 |\n| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["| Topology | Size | Detection | Cost |\n| --- | --- | --- | --- |\n| Ring | 9 | nodetection | 0.050 |\n| outlier | 0.276 |  |  |\n| fault | 0.921 |  |  |\n| 25 | nodetection | 0.101 |  |","| outlier | 1.131 |  |  |\n| --- | --- | --- | --- |\n| fault | 3.286 |  |  |\n| Torus | 9 | nodetection | 0.027 |\n| outlier | 0.121 |  |  |\n| fault | 1.327 |  |  |\n| 25 | nodetection | 0.043 |  |\n| outlier | 0.567 |  |  |\n| fault | 6.055 |  |  |\n| Petersen | 10 | nodetection | 0.005 |\n| outlier | 0.135 |  |  |\n| fault | 0.597 |  |  |\n| Random | 10 | nodetection | 0.013 |\n| outlier | 0.290 |  |  |\n| fault | 1.268 |  |  |",1]
["| Topology | Size | Detection | Cost |\n| --- | --- | --- | --- |\n| Ring | 9 | nodetection | 0.050 |\n| outlier | 0.276 |  |  |\n| fault | 0.921 |  |  |\n| 25 | nodetection | 0.101 |  |","| PNA | 0.1 | 0.077 | 0.097 | 0.068 |\n| --- | --- | --- | --- | --- |\n| CAAI | 0.206 | 0.232 | 0.175 | 0.16 |\n| DDI | 0.386 | 0.323 | 0.335 | 0.28 |\n| EDI | 0.323 | 0.292 | 0.23 | 0.265 |\n| ACC | 0.02 | 0.034 | 0.018 | 0.019 |\n| ABC | 0.034 | 0.087 | 0.015 | 0.034 |",0]
["| h | Compression | Distortion |\n| --- | --- | --- |\n| 1 | 49 | 0.135196 |","| 2 | 24.5 | 0.124725 |\n| --- | --- | --- |\n| 3 | 16.33333333 | 0.0947032 |\n| 5 | 9.8 | 0.0354035 |\n| 7 | 7 | 0.031808 |\n| 20 | 2.45 | 0.0149272 |",1]
["| h | Compression | Distortion |\n| --- | --- | --- |\n| 1 | 49 | 0.135196 |","| compression<br>ratio |\n| --- |\n| 0.76 |\n| 0.43 |\n| 0.26 |\n| 0.18 |\n| 0.14 |\n| 0.12 |",0]
["| h | Compression | Distortion |\n| --- | --- | --- |\n| 1 | 49 | 0.135196 |\n| 2 | 24.5 | 0.124725 |\n| 3 | 16.33333333 | 0.0947032 |\n| 5 | 9.8 | 0.0354035 |","| 7 | 7 | 0.031808 |\n| --- | --- | --- |\n| 20 | 2.45 | 0.0149272 |",1]
["| h | Compression | Distortion |\n| --- | --- | --- |\n| 1 | 49 | 0.135196 |\n| 2 | 24.5 | 0.124725 |\n| 3 | 16.33333333 | 0.0947032 |\n| 5 | 9.8 | 0.0354035 |","| 0.18 |\n| --- |\n| 0.14 |\n| 0.12 |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {11} | {11} | {11} |\n| 2 | {4,11} | {2,13},{4,11} | {4,11} | {4,11} |","| 3 | {0,11,13},{4,11,13},...(9) | {0,11,13},{4,11,13},...(4) | {4,11,13} | {0,11,13} |\n| --- | --- | --- | --- | --- |\n| 4 | {2,4,11,13},...(23) | {2,4,11,13},...(5) | {2,4,11,13} | {2,4,11,13} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {11} | {11} | {11} |\n| 2 | {4,11} | {2,13},{4,11} | {4,11} | {4,11} |","| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {29},...(1) | {15} | {1} | {29} |\n| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |\n| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",0]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {11} | {11} | {11} |\n| 2 | {4,11} | {2,13},{4,11} | {4,11} | {4,11} |","| 3 | {0,11,13},{4,11,13},...(9) | {0,11,13},{4,11,13},...(4) | {4,11,13} | {0,11,13} |\n| --- | --- | --- | --- | --- |\n| 4 | {2,4,11,13},...(23) | {2,4,11,13},...(5) | {2,4,11,13} | {2,4,11,13} |",1]
["| n | degree | closeness | betweenness | random-walk |\n| --- | --- | --- | --- | --- |\n| 1 | {11} | {11} | {11} | {11} |\n| 2 | {4,11} | {2,13},{4,11} | {4,11} | {4,11} |","| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |\n| --- | --- | --- | --- | --- |\n| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} |",0]
["| Topics | Question |  |  |  |\n| --- | --- | --- | --- | --- |\n| Q7 | Q8 |  |  |  |\n| NumberofYES | Ranking | NumberofYES | Ranking |  |\n| T1 | 6 | 2 | 3 | 5 |\n| T2 | 5 | 3 | 2 | 8 |\n| T3 | 7 | 1 | 5 | 2 |\n| T4 | 4 | 4 | 3 | 5 |\n| T5 | 3 | 6 | 3 | 5 |","| T6 | 4 | 4 | 1 | 9 |\n| --- | --- | --- | --- | --- |\n| T7 | 0 | (7) | 4 | 4 |\n| T8 | 0 | (7) | 7 | 1 |\n| T9 | 0 | (7) | 5 | 2 |",1]
["| Topics | Question |  |  |  |\n| --- | --- | --- | --- | --- |\n| Q7 | Q8 |  |  |  |\n| NumberofYES | Ranking | NumberofYES | Ranking |  |\n| T1 | 6 | 2 | 3 | 5 |\n| T2 | 5 | 3 | 2 | 8 |\n| T3 | 7 | 1 | 5 | 2 |\n| T4 | 4 | 4 | 3 | 5 |\n| T5 | 3 | 6 | 3 | 5 |","| Rank | Numberofparticipants | Topic |\n| --- | --- | --- |\n| 1 | 4,35M | humor |\n| 2 | 4,10M | humor |\n| 3 | 3,76M | movies |\n| 4 | 3,69M | humor |\n| 5 | 3,59M | humor |\n| 6 | 3,58M | facts |\n| 7 | 3,36M | cookery |\n| 8 | 3,31M | humor |\n| 9 | 3,14M | humor |\n| 10 | 3,14M | movies |\n| 100 | 1,65M | successstories |",0]
["| Topics | Question |  |  |  |\n| --- | --- | --- | --- | --- |\n| Q7 | Q8 |  |  |  |\n| NumberofYES | Ranking | NumberofYES | Ranking |  |\n| T1 | 6 | 2 | 3 | 5 |\n| T2 | 5 | 3 | 2 | 8 |\n| T3 | 7 | 1 | 5 | 2 |\n| T4 | 4 | 4 | 3 | 5 |","| T5 | 3 | 6 | 3 | 5 |\n| --- | --- | --- | --- | --- |\n| T6 | 4 | 4 | 1 | 9 |\n| T7 | 0 | (7) | 4 | 4 |\n| T8 | 0 | (7) | 7 | 1 |\n| T9 | 0 | (7) | 5 | 2 |",1]
["| Topics | Question |  |  |  |\n| --- | --- | --- | --- | --- |\n| Q7 | Q8 |  |  |  |\n| NumberofYES | Ranking | NumberofYES | Ranking |  |\n| T1 | 6 | 2 | 3 | 5 |\n| T2 | 5 | 3 | 2 | 8 |\n| T3 | 7 | 1 | 5 | 2 |\n| T4 | 4 | 4 | 3 | 5 |","| 7 | 3,36M | cookery |\n| --- | --- | --- |\n| 8 | 3,31M | humor |\n| 9 | 3,14M | humor |\n| 10 | 3,14M | movies |\n| 100 | 1,65M | successstories |",0]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=128)<br>ESP+FM(D=128) | 7.054(±5.320)<br>7.055(±5.321) | 7.051(±5.318)<br>7.054(±2.664) | 7.058(±5.318)<br>7.059(±5.318) | 7.058(±5.319)<br>7.059(±5.320) |\n| ESP+SFM(D=512)<br>ESP+FM(D=512) | 3.523(±2.662)<br>3.526(±2.665) | 3.526(±2.663)<br>3.526(±2.666) | 3.526(±2.662)<br>3.526(±2.663) | 3.525(±2.662)<br>3.526(±2.663) |\n| ESP+SFM(D=2048)<br>ESP+FM(D=2048) | 1.762(±1.332)<br>1.763(±1.332) | 1.762(±1.332)<br>1.762(±1.332) | 1.762(±1.332)<br>1.762(±1.331) | 1.762(±1.332)<br>1.763(±1.331) |","| ESP+SFM(D=8192)<br>ESP+FM(D=8192) | 0.881(±0.666)<br>0.880(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.879(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=16384)<br>ESP+FM(D=16384) | 0.623(±0.471)<br>0.628(±0.470) | 0.623(±0.470)<br>0.623(±0.471) | 0.621(±0.470)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.471) |",1]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=128)<br>ESP+FM(D=128) | 7.054(±5.320)<br>7.055(±5.321) | 7.051(±5.318)<br>7.054(±2.664) | 7.058(±5.318)<br>7.059(±5.318) | 7.058(±5.319)<br>7.059(±5.320) |\n| ESP+SFM(D=512)<br>ESP+FM(D=512) | 3.523(±2.662)<br>3.526(±2.665) | 3.526(±2.663)<br>3.526(±2.666) | 3.526(±2.662)<br>3.526(±2.663) | 3.525(±2.662)<br>3.526(±2.663) |\n| ESP+SFM(D=2048)<br>ESP+FM(D=2048) | 1.762(±1.332)<br>1.763(±1.332) | 1.762(±1.332)<br>1.762(±1.332) | 1.762(±1.332)<br>1.762(±1.331) | 1.762(±1.332)<br>1.763(±1.331) |","| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |\n| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |\n| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |\n| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |\n| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |",0]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=128)<br>ESP+FM(D=128) | 7.054(±5.320)<br>7.055(±5.321) | 7.051(±5.318)<br>7.054(±2.664) | 7.058(±5.318)<br>7.059(±5.318) | 7.058(±5.319)<br>7.059(±5.320) |\n| ESP+SFM(D=512)<br>ESP+FM(D=512) | 3.523(±2.662)<br>3.526(±2.665) | 3.526(±2.663)<br>3.526(±2.666) | 3.526(±2.662)<br>3.526(±2.663) | 3.525(±2.662)<br>3.526(±2.663) |","| ESP+SFM(D=2048)<br>ESP+FM(D=2048) | 1.762(±1.332)<br>1.763(±1.332) | 1.762(±1.332)<br>1.762(±1.332) | 1.762(±1.332)<br>1.762(±1.331) | 1.762(±1.332)<br>1.763(±1.331) |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=8192)<br>ESP+FM(D=8192) | 0.881(±0.666)<br>0.880(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.879(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) |\n| ESP+SFM(D=16384)<br>ESP+FM(D=16384) | 0.623(±0.471)<br>0.628(±0.470) | 0.623(±0.470)<br>0.623(±0.471) | 0.621(±0.470)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.471) |",1]
["| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| ESP+SFM(D=128)<br>ESP+FM(D=128) | 7.054(±5.320)<br>7.055(±5.321) | 7.051(±5.318)<br>7.054(±2.664) | 7.058(±5.318)<br>7.059(±5.318) | 7.058(±5.319)<br>7.059(±5.320) |\n| ESP+SFM(D=512)<br>ESP+FM(D=512) | 3.523(±2.662)<br>3.526(±2.665) | 3.526(±2.663)<br>3.526(±2.666) | 3.526(±2.662)<br>3.526(±2.663) | 3.525(±2.662)<br>3.526(±2.663) |","| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |\n| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |",0]
["| g(p,..p)(Γ)m1m | TPLM | LSM |\n| --- | --- | --- |\n| ave | ave |  |","| 2.05 | 0.57 | 1.52 |\n| --- | --- | --- |\n| 1.69 | 0.44 | 0.79 |\n| 1.53 | 0.40 | 0.59 |\n| 1.48 | 0.39 | 0.51 |",1]
["| g(p,..p)(Γ)m1m | TPLM | LSM |\n| --- | --- | --- |\n| ave | ave |  |","|  | M1 | M2 | M3 | M4 | CE | M5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |\n| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |\n| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |\n| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |\n| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| g(p,..p)(Γ)m1m | TPLM | LSM |\n| --- | --- | --- |\n| ave | ave |  |\n| 2.05 | 0.57 | 1.52 |","| 1.69 | 0.44 | 0.79 |\n| --- | --- | --- |\n| 1.53 | 0.40 | 0.59 |\n| 1.48 | 0.39 | 0.51 |",1]
["| g(p,..p)(Γ)m1m | TPLM | LSM |\n| --- | --- | --- |\n| ave | ave |  |\n| 2.05 | 0.57 | 1.52 |","| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |\n| --- | --- | --- | --- | --- | --- | --- |\n| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 |",0]
["| Negative | Positive | Neutral | TotalMentions |  |\n| --- | --- | --- | --- | --- |\n| PSD | 69723 | 121 | 37133 | 106977 |\n| PS | 28660 | 225 | 15326 | 44211 |","| CDS | 41935 | 51 | 17554 | 59540 |\n| --- | --- | --- | --- | --- |\n| CDU | 2445 | 79 | 5604 | 8128 |\n| BE | 9603 | 306 | 4214 | 14123 |",1]
["| Negative | Positive | Neutral | TotalMentions |  |\n| --- | --- | --- | --- | --- |\n| PSD | 69723 | 121 | 37133 | 106977 |\n| PS | 28660 | 225 | 15326 | 44211 |","|  | BL | SL | SR | BH | SH | Ins |\n| --- | --- | --- | --- | --- | --- | --- |\n| BL | 17 | 5 | 1 | - | - | 10 |\n| SL | 4 | 24 | 2 | - | 1 | 19 |\n| SR | 3 | - | 29 | - | 1 | 44 |\n| BH | - | 1 | - | 20 | 1 | 19 |\n| SH | 1 | - | - | 1 | 23 | 32 |\n| Del | - | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",0]
["| Negative | Positive | Neutral | TotalMentions |  |\n| --- | --- | --- | --- | --- |\n| PSD | 69723 | 121 | 37133 | 106977 |\n| PS | 28660 | 225 | 15326 | 44211 |\n| CDS | 41935 | 51 | 17554 | 59540 |","| CDU | 2445 | 79 | 5604 | 8128 |\n| --- | --- | --- | --- | --- |\n| BE | 9603 | 306 | 4214 | 14123 |",1]
["| Negative | Positive | Neutral | TotalMentions |  |\n| --- | --- | --- | --- | --- |\n| PSD | 69723 | 121 | 37133 | 106977 |\n| PS | 28660 | 225 | 15326 | 44211 |\n| CDS | 41935 | 51 | 17554 | 59540 |","| SL | 4 | 24 | 2 | - | 1 | 19 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SR | 3 | - | 29 | - | 1 | 44 |\n| BH | - | 1 | - | 20 | 1 | 19 |\n| SH | 1 | - | - | 1 | 23 | 32 |\n| Del | - | 1 | - | - | - | - |\n| Total | 25 | 31 | 32 | 21 | 26 | 124 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 95617 | 215306 | 0.36 | 0.36 |\n| , | 3239 | 9945 | 0.50 | 0.43 |\n| the | 2577 | 8383 | 0.40 | 0.46 |\n| a | 1948 | 6057 | 0.40 | 0.49 |\n| of | 1335 | 6048 | 0.34 | 0.46 |\n| and | 1290 | 6143 | 0.45 | 0.48 |\n| to | 1251 | 4197 | 0.44 | 0.43 |\n| is | 737 | 3502 | 0.45 | 0.39 |\n| that | 573 | 2603 | 0.46 | 0.44 |\n| in | 381 | 2507 | 0.52 | 0.33 |\n| an | 243 | 1052 | 0.45 | 0.46 |\n| with | 212 | 1479 | 0.45 | 0.44 |","| as | 211 | 1662 | 0.48 | 0.39 |\n| --- | --- | --- | --- | --- |\n| for | 178 | 1340 | 0.47 | 0.39 |\n| its | 163 | 1294 | 0.29 | 0.56 |\n| you | 136 | 1054 | 0.43 | 0.36 |\n| this | 120 | 1076 | 0.32 | 0.51 |\n| are | 101 | 732 | 0.38 | 0.54 |\n| on | 96 | 870 | 0.49 | 0.36 |\n| has | 92 | 692 | 0.52 | 0.35 |\n| The | 87 | 335 | 0.52 | 0.39 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 95617 | 215306 | 0.36 | 0.36 |\n| , | 3239 | 9945 | 0.50 | 0.43 |\n| the | 2577 | 8383 | 0.40 | 0.46 |\n| a | 1948 | 6057 | 0.40 | 0.49 |\n| of | 1335 | 6048 | 0.34 | 0.46 |\n| and | 1290 | 6143 | 0.45 | 0.48 |\n| to | 1251 | 4197 | 0.44 | 0.43 |\n| is | 737 | 3502 | 0.45 | 0.39 |\n| that | 573 | 2603 | 0.46 | 0.44 |\n| in | 381 | 2507 | 0.52 | 0.33 |\n| an | 243 | 1052 | 0.45 | 0.46 |\n| with | 212 | 1479 | 0.45 | 0.44 |","| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |\n| in | 2106 | 11109 | 0.48 | 0.28 |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |\n| this | 713 | 5176 | 0.33 | 0.39 |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 95617 | 215306 | 0.36 | 0.36 |\n| , | 3239 | 9945 | 0.50 | 0.43 |\n| the | 2577 | 8383 | 0.40 | 0.46 |\n| a | 1948 | 6057 | 0.40 | 0.49 |\n| of | 1335 | 6048 | 0.34 | 0.46 |\n| and | 1290 | 6143 | 0.45 | 0.48 |\n| to | 1251 | 4197 | 0.44 | 0.43 |\n| is | 737 | 3502 | 0.45 | 0.39 |\n| that | 573 | 2603 | 0.46 | 0.44 |\n| in | 381 | 2507 | 0.52 | 0.33 |\n| an | 243 | 1052 | 0.45 | 0.46 |","| with | 212 | 1479 | 0.45 | 0.44 |\n| --- | --- | --- | --- | --- |\n| as | 211 | 1662 | 0.48 | 0.39 |\n| for | 178 | 1340 | 0.47 | 0.39 |\n| its | 163 | 1294 | 0.29 | 0.56 |\n| you | 136 | 1054 | 0.43 | 0.36 |\n| this | 120 | 1076 | 0.32 | 0.51 |\n| are | 101 | 732 | 0.38 | 0.54 |\n| on | 96 | 870 | 0.49 | 0.36 |\n| has | 92 | 692 | 0.52 | 0.35 |\n| The | 87 | 335 | 0.52 | 0.39 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 95617 | 215306 | 0.36 | 0.36 |\n| , | 3239 | 9945 | 0.50 | 0.43 |\n| the | 2577 | 8383 | 0.40 | 0.46 |\n| a | 1948 | 6057 | 0.40 | 0.49 |\n| of | 1335 | 6048 | 0.34 | 0.46 |\n| and | 1290 | 6143 | 0.45 | 0.48 |\n| to | 1251 | 4197 | 0.44 | 0.43 |\n| is | 737 | 3502 | 0.45 | 0.39 |\n| that | 573 | 2603 | 0.46 | 0.44 |\n| in | 381 | 2507 | 0.52 | 0.33 |\n| an | 243 | 1052 | 0.45 | 0.46 |","| of | 3526 | 18548 | 0.28 | 0.35 |\n| --- | --- | --- | --- | --- |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |\n| in | 2106 | 11109 | 0.48 | 0.28 |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |\n| this | 713 | 5176 | 0.33 | 0.39 |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| Learningconcept | t-testp-value | NullHypothesis | KS-testp-value | NullHypothesis |\n| --- | --- | --- | --- | --- |\n| binoculars | 0.0059 | Reject | 0.1009 | Accept |","| career | 0.044 | Reject | 0.0254 | Reject |\n| --- | --- | --- | --- | --- |\n| champion | 0.492 | Accept | 0.6275 | Accept |\n| conﬂict | 0.002 | Reject | 0.0088 | Reject |\n| deciduous | 2.07×10 | Reject | 1.76×10 | Reject |\n| dozen | 0.00023 | Reject | 0.0021 | Reject |\n| half | 0.006 | Reject | 0.0089 | Reject |\n| hibernate | 0.205 | Accept | 0.3369 | Accept |\n| identical | 3.796×10 | Reject | 2.72×10 | Reject |\n| insect | 0.504 | Accept | 0.2066 | Accept |\n| measure | 0.029 | Reject | 0.0781 | Reject |\n| octagon | 0.017 | Reject | 0.0754 | Reject |\n| pirouette | 3.65×10 | Reject | 2.83×10 | Reject |\n| prickly | 0.007 | Reject | 0.0042 | Reject |\n| repair | 1.96×10 | Reject | 3.85×10 | Reject |\n| sculpture | 0.002 | Reject | 0.0004 | Reject |\n| subtraction | 0.002 | Reject | 0.0002 | Reject |\n| tool | 0.075 | Reject | 0.0259 | Reject |\n| veterinarian | 0.056 | Reject | 0.1206 | Accept |",1]
["| Learningconcept | t-testp-value | NullHypothesis | KS-testp-value | NullHypothesis |\n| --- | --- | --- | --- | --- |\n| binoculars | 0.0059 | Reject | 0.1009 | Accept |","| Model | TripAdvisorData | OpenTableData |  |  |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| OrdinalAspectBias | -557.08 | 1.00 | -493.79 | 1.03 |\n| ContinuousAspectBias | -1050.32 | 3.13 | -560.14 | 2.21 |\n| OrdinalNoBias | -689.76 | 1.47 | -546.25 | 1.95 |\n| ContinuousNoBias | -1904.64 | 3.52 | -651.16 | 2.39 |\n| OrdinalGlobalBias | -2438.52 | 2.85 | -570.28 | 2.37 |\n| ContinuousGlobalBias | -2632.95 | 3.91 | -595.62 | 2.41 |",0]
["| Learningconcept | t-testp-value | NullHypothesis | KS-testp-value | NullHypothesis |\n| --- | --- | --- | --- | --- |\n| binoculars | 0.0059 | Reject | 0.1009 | Accept |\n| career | 0.044 | Reject | 0.0254 | Reject |\n| champion | 0.492 | Accept | 0.6275 | Accept |\n| conﬂict | 0.002 | Reject | 0.0088 | Reject |\n| deciduous | 2.07×10 | Reject | 1.76×10 | Reject |\n| dozen | 0.00023 | Reject | 0.0021 | Reject |\n| half | 0.006 | Reject | 0.0089 | Reject |\n| hibernate | 0.205 | Accept | 0.3369 | Accept |\n| identical | 3.796×10 | Reject | 2.72×10 | Reject |\n| insect | 0.504 | Accept | 0.2066 | Accept |\n| measure | 0.029 | Reject | 0.0781 | Reject |\n| octagon | 0.017 | Reject | 0.0754 | Reject |\n| pirouette | 3.65×10 | Reject | 2.83×10 | Reject |\n| prickly | 0.007 | Reject | 0.0042 | Reject |\n| repair | 1.96×10 | Reject | 3.85×10 | Reject |","| sculpture | 0.002 | Reject | 0.0004 | Reject |\n| --- | --- | --- | --- | --- |\n| subtraction | 0.002 | Reject | 0.0002 | Reject |\n| tool | 0.075 | Reject | 0.0259 | Reject |\n| veterinarian | 0.056 | Reject | 0.1206 | Accept |",1]
["| Learningconcept | t-testp-value | NullHypothesis | KS-testp-value | NullHypothesis |\n| --- | --- | --- | --- | --- |\n| binoculars | 0.0059 | Reject | 0.1009 | Accept |\n| career | 0.044 | Reject | 0.0254 | Reject |\n| champion | 0.492 | Accept | 0.6275 | Accept |\n| conﬂict | 0.002 | Reject | 0.0088 | Reject |\n| deciduous | 2.07×10 | Reject | 1.76×10 | Reject |\n| dozen | 0.00023 | Reject | 0.0021 | Reject |\n| half | 0.006 | Reject | 0.0089 | Reject |\n| hibernate | 0.205 | Accept | 0.3369 | Accept |\n| identical | 3.796×10 | Reject | 2.72×10 | Reject |\n| insect | 0.504 | Accept | 0.2066 | Accept |\n| measure | 0.029 | Reject | 0.0781 | Reject |\n| octagon | 0.017 | Reject | 0.0754 | Reject |\n| pirouette | 3.65×10 | Reject | 2.83×10 | Reject |\n| prickly | 0.007 | Reject | 0.0042 | Reject |\n| repair | 1.96×10 | Reject | 3.85×10 | Reject |","| ContinuousNoBias | -1904.64 | 3.52 | -651.16 | 2.39 |\n| --- | --- | --- | --- | --- |\n| OrdinalGlobalBias | -2438.52 | 2.85 | -570.28 | 2.37 |\n| ContinuousGlobalBias | -2632.95 | 3.91 | -595.62 | 2.41 |",0]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |\n| 0.00960.01910.1635 | 0.00980.01930.1677 | 0.00970.01920.1611 |","| 0.00930.01880.1594 | 0.00950.0190.1641 | 0.00940.01890.1578 |\n| --- | --- | --- |\n| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |\n| 0.00910.01860.1557 | 0.00940.01890.1601 | 0.00920.01870.1552 |\n| 0.0090.01840.1533 | 0.00920.01870.1585 | 0.00910.01850.1537 |",1]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |\n| 0.00960.01910.1635 | 0.00980.01930.1677 | 0.00970.01920.1611 |","| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |\n| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |\n| 0.00960.01910.1713 | 0.00970.01920.1726 | 0.00950.01910.1668 |\n| 0.00930.01880.1662 | 0.00940.01890.1686 | 0.00930.01880.1633 |\n| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |\n| 0.00910.01850.1509 | 0.00940.01890.1578 | 0.00920.01870.1519 |",0]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |","| 0.00960.01910.1635 | 0.00980.01930.1677 | 0.00970.01920.1611 |\n| --- | --- | --- |\n| 0.00930.01880.1594 | 0.00950.0190.1641 | 0.00940.01890.1578 |\n| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |\n| 0.00910.01860.1557 | 0.00940.01890.1601 | 0.00920.01870.1552 |\n| 0.0090.01840.1533 | 0.00920.01870.1585 | 0.00910.01850.1537 |",1]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |","| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |\n| --- | --- | --- |\n| 0.00960.01910.1713 | 0.00970.01920.1726 | 0.00950.01910.1668 |\n| 0.00930.01880.1662 | 0.00940.01890.1686 | 0.00930.01880.1633 |\n| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |\n| 0.00910.01850.1509 | 0.00940.01890.1578 | 0.00920.01870.1519 |",0]
["| Train.data | Eval.data | smooth? | mAP | AUC |\n| --- | --- | --- | --- | --- |\n| COCO | COCO | - | 0.83 | 0.84 |\n| COCO<br>COCO | YT-BB<br>YT-BB | no<br>yes | 0.77<br>0.77 | 0.78<br>0.78 |","| YT-BB<br>YT-BB | YT-BB<br>YT-BB | no<br>yes | 0.93<br>0.95 | 0.94<br>0.96 |\n| --- | --- | --- | --- | --- |\n| YT-BB | COCO | - | 0.66 | 0.67 |",1]
["| Train.data | Eval.data | smooth? | mAP | AUC |\n| --- | --- | --- | --- | --- |\n| COCO | COCO | - | 0.83 | 0.84 |\n| COCO<br>COCO | YT-BB<br>YT-BB | no<br>yes | 0.77<br>0.77 | 0.78<br>0.78 |","|  | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |\n| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 |\n| Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |\n| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 |",0]
["| Train.data | Eval.data | smooth? | mAP | AUC |\n| --- | --- | --- | --- | --- |\n| COCO | COCO | - | 0.83 | 0.84 |","| COCO<br>COCO | YT-BB<br>YT-BB | no<br>yes | 0.77<br>0.77 | 0.78<br>0.78 |\n| --- | --- | --- | --- | --- |\n| YT-BB<br>YT-BB | YT-BB<br>YT-BB | no<br>yes | 0.93<br>0.95 | 0.94<br>0.96 |\n| YT-BB | COCO | - | 0.66 | 0.67 |",1]
["| Train.data | Eval.data | smooth? | mAP | AUC |\n| --- | --- | --- | --- | --- |\n| COCO | COCO | - | 0.83 | 0.84 |","| Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |\n| --- | --- | --- | --- | --- | --- |\n| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 |",0]
["| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |","| 5 | Last | Whetherwexistsinthelastsentence |\n| --- | --- | --- |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",1]
["| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |","| Featureindex | Description |\n| --- | --- |\n| 1 | Whetherthecandidateisinthesamesentencewiththeconnective |\n| 2 | Connectiveword |\n| 3 | Down-caseconnectiveword |\n| 4 | Candidateword |\n| 5 | Beforeoraftertheconnectiveword |\n| 6 | Connectivewhereinthesentence(beginning,middle,end) |\n| 7 | 2,6 |\n| 8 | Headtoconnectivethroughtheconstituenttree |\n| 9 | Collapsedpathwithoutpart-of-speech |\n| 10 | Thelengthof8 |\n| 11 | Dependencypathfromargumenttoconnective |\n| 12 | Typeofconnective |",0]
["| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |","| 6 | NE | Whetherwisanamedentity(NE) |\n| --- | --- | --- |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",1]
["| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |","| 9 | Collapsedpathwithoutpart-of-speech |\n| --- | --- |\n| 10 | Thelengthof8 |\n| 11 | Dependencypathfromargumenttoconnective |\n| 12 | Typeofconnective |",0]
["|  | LMR | PD | AMR | MP |\n| --- | --- | --- | --- | --- |\n| OLS | 29 | 27 | 22 | 5.4 |\n| NN | 9.2 | 20 | 7.9 | 3.9 |\n| GP-SSLK1/2 | 7.2 | 12 | 7 | 1.8 |","| GP-SSLK3/2 | 7.5 | 11 | 4.8 | 1.4 |\n| --- | --- | --- | --- | --- |\n| GP-SSLK∞ | 6.3 | 6.3 | 4.8 | 1.3 |",1]
["|  | LMR | PD | AMR | MP |\n| --- | --- | --- | --- | --- |\n| OLS | 29 | 27 | 22 | 5.4 |\n| NN | 9.2 | 20 | 7.9 | 3.9 |\n| GP-SSLK1/2 | 7.2 | 12 | 7 | 1.8 |","|  | SDR(dB) | SIR(dB) | SAR(dB) |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | MDLD | GaussSep | MDLD | GaussSep | MDLD | GaussSep |\n| Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |\n| Example3×5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |\n| Example4×8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 |",0]
["|  | LMR | PD | AMR | MP |\n| --- | --- | --- | --- | --- |\n| OLS | 29 | 27 | 22 | 5.4 |\n| NN | 9.2 | 20 | 7.9 | 3.9 |","| GP-SSLK1/2 | 7.2 | 12 | 7 | 1.8 |\n| --- | --- | --- | --- | --- |\n| GP-SSLK3/2 | 7.5 | 11 | 4.8 | 1.4 |\n| GP-SSLK∞ | 6.3 | 6.3 | 4.8 | 1.3 |",1]
["|  | LMR | PD | AMR | MP |\n| --- | --- | --- | --- | --- |\n| OLS | 29 | 27 | 22 | 5.4 |\n| NN | 9.2 | 20 | 7.9 | 3.9 |","| Dev3Female3 | 6.02 | 16.93 | 23.84 | 22.43 | 6.17 | 18.40 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Example3×5 | 3.91 | 9.94 | 17.92 | 15.21 | 4.17 | 11.68 |\n| Example4×8 | 2.24 | -18.63 | 16.4 | -17.58 | 2.52 | 9.39 |",0]
["| Parameter |  |\n| --- | --- |\n| Audioresamplingfreq. | 16KHz |","| BandsofMel-spectrogram | 80 |\n| --- | --- |\n| Hoplength | 400 |\n| Convolutionlayers,channels,ﬁlter,strides | 1,64,20×5,8×2 |\n| Recurrentlayersize | 128 |\n| Fullyconnectedsize | 128 |\n| Dropoutprobability | 0.9 |\n| LearningRate | 10 |\n| Maxgradientnorm | 100 |\n| Gradientclippingmax.value | 5 |",1]
["| Parameter |  |\n| --- | --- |\n| Audioresamplingfreq. | 16KHz |","| Parameter | Single-Speaker | VCTK | LibriSpeech |\n| --- | --- | --- | --- |\n| FFTSize | 4096 | 4096 | 4096 |\n| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |\n| AudioSampleRate | 48000 | 48000 | 16000 |\n| ReductionFactorr | 4 | 4 | 4 |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |\n| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |\n| DecoderAﬃneSize | 128,256 | 128,256 | 128,256 |\n| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |\n| AttentionHiddenSize | 128 | 256 | 256 |\n| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |\n| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |\n| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |\n| NumberofSpeakers | 1 | 108 | 2484 |\n| SpeakerEmbeddingDim. | - | 16 | 512 |\n| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |\n| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |\n| BatchSize | 16 | 16 | 16 |\n| MaxGradientNorm | 100 | 100 | 50.0 |\n| GradientClippingMax.Value | 5 | 5 | 5 |",0]
["| Parameter |  |\n| --- | --- |\n| Audioresamplingfreq. | 16KHz |\n| BandsofMel-spectrogram | 80 |\n| Hoplength | 400 |\n| Convolutionlayers,channels,ﬁlter,strides | 1,64,20×5,8×2 |\n| Recurrentlayersize | 128 |\n| Fullyconnectedsize | 128 |","| Dropoutprobability | 0.9 |\n| --- | --- |\n| LearningRate | 10 |\n| Maxgradientnorm | 100 |\n| Gradientclippingmax.value | 5 |",1]
["| Parameter |  |\n| --- | --- |\n| Audioresamplingfreq. | 16KHz |\n| BandsofMel-spectrogram | 80 |\n| Hoplength | 400 |\n| Convolutionlayers,channels,ﬁlter,strides | 1,64,20×5,8×2 |\n| Recurrentlayersize | 128 |\n| Fullyconnectedsize | 128 |","| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |\n| --- | --- | --- | --- |\n| AudioSampleRate | 48000 | 48000 | 16000 |\n| ReductionFactorr | 4 | 4 | 4 |\n| MelBands | 80 | 80 | 80 |\n| SharpeningFactor | 1.4 | 1.4 | 1.4 |\n| CharacterEmbeddingDim. | 256 | 256 | 256 |\n| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |\n| DecoderAﬃneSize | 128,256 | 128,256 | 128,256 |\n| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |\n| AttentionHiddenSize | 128 | 256 | 256 |\n| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |\n| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |\n| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |\n| NumberofSpeakers | 1 | 108 | 2484 |\n| SpeakerEmbeddingDim. | - | 16 | 512 |\n| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |\n| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |\n| BatchSize | 16 | 16 | 16 |\n| MaxGradientNorm | 100 | 100 | 50.0 |\n| GradientClippingMax.Value | 5 | 5 | 5 |",0]
["| Code | Extractions | SD,L=1 | HD,L=3 | SD,L=3 | SD,L=3,m=3 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[6]) | 10.000.000 | 3.98e-02 | 6.59e-01 | 2.24e-02 | 5.70e-05 |\n| (3,1,[7]) | 10.000.000 | 1.73e-02 | 5.93e-01 | 9.43e-03 | 6.00e-06 |\n| (3,1,[8]) | 10.000.000 | 9.72e-03 | 5.09e-01 | 5.14e-03 | 1.00e-06 |","| (3,1,[9]) | 10.000.000 | 5.07e-03 | 4.28e-01 | 2.65e-03 | <1e-07 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[10]) | 10.000.000 | 2.30e-03 | 3.39e-01 | 1.17e-03 | <1e-07 |",1]
["| Code | Extractions | SD,L=1 | HD,L=3 | SD,L=3 | SD,L=3,m=3 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[6]) | 10.000.000 | 3.98e-02 | 6.59e-01 | 2.24e-02 | 5.70e-05 |\n| (3,1,[7]) | 10.000.000 | 1.73e-02 | 5.93e-01 | 9.43e-03 | 6.00e-06 |\n| (3,1,[8]) | 10.000.000 | 9.72e-03 | 5.09e-01 | 5.14e-03 | 1.00e-06 |","| Extraction<br>Methods | Seqsize=10,000 |  |  |\n| --- | --- | --- | --- |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 35.64 | 23.93 | 9.04 |\n|  | 58.51 | 54.26 | 45.74 |\n|  | 47.87 | 27.66 | 0.00 |\n|  | 51.60 | 36.70 | 13.83 |\n|  | 65.43 | 61.17 | 48.40 |\n|  | 64.89 | 64.89 | 47.87 |\n|  | 71.28 | 70.21 | 59.57 |\n| MRE-IPI | 85.11 | 85.11 | 76.60 |\n| Extraction<br>Methods | Seqsize=1,000,000 |  |  |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 10.64 | 7.45 | 1.06 |\n|  | 3.19 | 2.13 | 0.00 |\n|  | 10.11 | 10.11 | 10.11 |\n|  | 8.51 | 8.51 | 8.51 |\n|  | 0.00 | 0.00 | 0.00 |\n|  | 0.00 | 0.00 | 0.00 |\n|  | 0.53 | 0.53 | 0.53 |\n| MRE-IPI | 90.96 | 82.98 | 54.79 |",0]
["| Code | Extractions | SD,L=1 | HD,L=3 | SD,L=3 | SD,L=3,m=3 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[6]) | 10.000.000 | 3.98e-02 | 6.59e-01 | 2.24e-02 | 5.70e-05 |\n| (3,1,[7]) | 10.000.000 | 1.73e-02 | 5.93e-01 | 9.43e-03 | 6.00e-06 |","| (3,1,[8]) | 10.000.000 | 9.72e-03 | 5.09e-01 | 5.14e-03 | 1.00e-06 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[9]) | 10.000.000 | 5.07e-03 | 4.28e-01 | 2.65e-03 | <1e-07 |\n| (3,1,[10]) | 10.000.000 | 2.30e-03 | 3.39e-01 | 1.17e-03 | <1e-07 |",1]
["| Code | Extractions | SD,L=1 | HD,L=3 | SD,L=3 | SD,L=3,m=3 |\n| --- | --- | --- | --- | --- | --- |\n| (3,1,[6]) | 10.000.000 | 3.98e-02 | 6.59e-01 | 2.24e-02 | 5.70e-05 |\n| (3,1,[7]) | 10.000.000 | 1.73e-02 | 5.93e-01 | 9.43e-03 | 6.00e-06 |","|  | 58.51 | 54.26 | 45.74 |\n| --- | --- | --- | --- |\n|  | 47.87 | 27.66 | 0.00 |\n|  | 51.60 | 36.70 | 13.83 |\n|  | 65.43 | 61.17 | 48.40 |\n|  | 64.89 | 64.89 | 47.87 |\n|  | 71.28 | 70.21 | 59.57 |\n| MRE-IPI | 85.11 | 85.11 | 76.60 |\n| Extraction<br>Methods | Seqsize=1,000,000 |  |  |\n| α=0.10 | α=0.05 | α=0.01 |  |\n|  | 10.64 | 7.45 | 1.06 |\n|  | 3.19 | 2.13 | 0.00 |\n|  | 10.11 | 10.11 | 10.11 |\n|  | 8.51 | 8.51 | 8.51 |\n|  | 0.00 | 0.00 | 0.00 |\n|  | 0.00 | 0.00 | 0.00 |\n|  | 0.53 | 0.53 | 0.53 |\n| MRE-IPI | 90.96 | 82.98 | 54.79 |",0]
["| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |","| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |\n| --- | --- | --- | --- | --- | --- |\n| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 |",1]
["| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |","| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 |  | 25.00 | 24.19 | 25.19 | 24.44 |\n| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",0]
["| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |","| +uni-rnn | - | 22.49 | 22.33 | 22.53 | 22.30 |\n| --- | --- | --- | --- | --- | --- |\n| +su-rnn | 1<br>3 | 22.32<br>21.97? | 22.13<br>21.77 | 22.20<br>21.70? | 22.09<br>21.53 |",1]
["| LM | #succ<br>words | dev | eval |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Vit | CN | Vit | CN |  |  |\n| ng4 | - | 24.46 | 24.20 | 24.68 | 24.44 |","| ng4 |  | 25.00 | 24.19 | 25.19 | 24.44 |\n| --- | --- | --- | --- | --- | --- |\n| +uni-rnn |  | 23.11 | 22.33 | 22.95 | 22.30 |\n| +su-rnn | 1<br>3 | 22.92<br>22.67 | 22.12<br>21.77 | 22.77<br>22.40 | 22.11<br>21.53 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.60±0.09 | 1.00±0.00 | 0.7467±0.07 |\n| Baseline | 0.9667±0.07 | 0.9286±0.08 | 0.9434±0.04 |\n| MIMB | 0.9667±0.07 | 0.9429±0.07 | 0.9510±0.04 |\n|  | nData=10 |  |  |","| He-Geng | 0.667±0.08 | 1.00±0.00 | 0.7967±0.06 |\n| --- | --- | --- | --- |\n| Baseline | 1.00±0.00 | 0.9095±0.11 | 0.9492±0.07 |\n| MIMB | 0.95±0.08 | 0.9381±0.08 | 0.9421±0.06 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.60±0.09 | 1.00±0.00 | 0.7467±0.07 |\n| Baseline | 0.9667±0.07 | 0.9286±0.08 | 0.9434±0.04 |\n| MIMB | 0.9667±0.07 | 0.9429±0.07 | 0.9510±0.04 |\n|  | nData=10 |  |  |","| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.66±0.10 | 1.00±0.00 | 0.7917±0.07 |\n| Baseline | 1.00±0.00 | 0.8667±0.07 | 0.9273±0.04 |\n| MIMB | 0.94±0.10 | 1.00±0.00 | 0.9667±0.05 |\n|  | nData=10 |  |  |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",0]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.60±0.09 | 1.00±0.00 | 0.7467±0.07 |\n| Baseline | 0.9667±0.07 | 0.9286±0.08 | 0.9434±0.04 |\n| MIMB | 0.9667±0.07 | 0.9429±0.07 | 0.9510±0.04 |","|  | nData=10 |  |  |\n| --- | --- | --- | --- |\n| He-Geng | 0.667±0.08 | 1.00±0.00 | 0.7967±0.06 |\n| Baseline | 1.00±0.00 | 0.9095±0.11 | 0.9492±0.07 |\n| MIMB | 0.95±0.08 | 0.9381±0.08 | 0.9421±0.06 |",1]
["| Algorithm | nData=5 |  |  |\n| --- | --- | --- | --- |\n| recall | precision | F1 |  |\n| He-Geng | 0.60±0.09 | 1.00±0.00 | 0.7467±0.07 |\n| Baseline | 0.9667±0.07 | 0.9286±0.08 | 0.9434±0.04 |\n| MIMB | 0.9667±0.07 | 0.9429±0.07 | 0.9510±0.04 |","|  | nData=10 |  |  |\n| --- | --- | --- | --- |\n| He-Geng | 0.70±0.11 | 0.95±0.16 | 0.7990±0.11 |\n| Baseline | 1.00±0.00 | 0.8298±0.14 | 0.9008±0.09 |\n| MIMB | 0.84±0.08 | 0.96±0.12 | 0.8661±0.08 |",0]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 20.1K | 11.6 | 12.6 | 9.75 |\n| MCCo | 13.2 | 10.4 | 12.4 | 5.71 |\n| MCCf | 11.8 | 9.21 | 9.78 | 5.25 |\n| MCCe | 11.9 | 8.28 | 8.71 | 5.71 |\n| MCCco | 12.9 | 10.9 | 11.92 | 5.92 |","| MCCcf | 13.1 | 10.03 | 11.92 | 5.57 |\n| --- | --- | --- | --- | --- |\n| MCCce | 13.4 | 10.85 | 13.57 | 7.64 |",1]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 20.1K | 11.6 | 12.6 | 9.75 |\n| MCCo | 13.2 | 10.4 | 12.4 | 5.71 |\n| MCCf | 11.8 | 9.21 | 9.78 | 5.25 |\n| MCCe | 11.9 | 8.28 | 8.71 | 5.71 |\n| MCCco | 12.9 | 10.9 | 11.92 | 5.92 |","| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 6.07K | 5.75 | 4.42 | 3.57 |\n| MCCo | 5.21 | 6.38 | 6.00 | 3.75 |\n| MCCf | 4.32 | 6.00 | 6.15 | 2.68 |\n| MCCe | 4.25 | 6.78 | 6.72 | 3.20 |\n| MCCco | 3.85 | 5.35 | 3.78 | 2.38 |\n| MCCcf | 4.00 | 5.71 | 5.63 | 2.39 |\n| MCCce | 4.24 | 6.46 | 6.74 | 3.07 |",0]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 20.1K | 11.6 | 12.6 | 9.75 |","| MCCo | 13.2 | 10.4 | 12.4 | 5.71 |\n| --- | --- | --- | --- | --- |\n| MCCf | 11.8 | 9.21 | 9.78 | 5.25 |\n| MCCe | 11.9 | 8.28 | 8.71 | 5.71 |\n| MCCco | 12.9 | 10.9 | 11.92 | 5.92 |\n| MCCcf | 13.1 | 10.03 | 11.92 | 5.57 |\n| MCCce | 13.4 | 10.85 | 13.57 | 7.64 |",1]
["| Featur | DB1A | DB2A | DB3A | DB4A |\n| --- | --- | --- | --- | --- |\n| MCCS | 20.1K | 11.6 | 12.6 | 9.75 |","| MCCe | 4.25 | 6.78 | 6.72 | 3.20 |\n| --- | --- | --- | --- | --- |\n| MCCco | 3.85 | 5.35 | 3.78 | 2.38 |\n| MCCcf | 4.00 | 5.71 | 5.63 | 2.39 |\n| MCCce | 4.24 | 6.46 | 6.74 | 3.07 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.72 | 0.70 |\n| 128×128,22 | 0.88 | 0.87 |\n| 64×64,32 | 0.95 | 0.72 |\n| 128×128,32 | 0.98 | 0.85 |","| 64×64,42 | 0.50 | 0.64 |\n| --- | --- | --- |\n| 128×128,42 | 0.79 | 0.85 |\n| Average | 0.80 | 0.77 |",1]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.72 | 0.70 |\n| 128×128,22 | 0.88 | 0.87 |\n| 64×64,32 | 0.95 | 0.72 |\n| 128×128,32 | 0.98 | 0.85 |","| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.79 | 0.78 |\n| 128×128,22 | 0.91 | 0.90 |\n| 64×64,32 | 0.96 | 0.80 |\n| 128×128,32 | 0.99 | 0.89 |\n| 64×64,42 | 0.61 | 0.75 |\n| 128×128,42 | 0.84 | 0.89 |\n| Average | 0.85 | 0.84 |",0]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.72 | 0.70 |\n| 128×128,22 | 0.88 | 0.87 |\n| 64×64,32 | 0.95 | 0.72 |","| 128×128,32 | 0.98 | 0.85 |\n| --- | --- | --- |\n| 64×64,42 | 0.50 | 0.64 |\n| 128×128,42 | 0.79 | 0.85 |\n| Average | 0.80 | 0.77 |",1]
["| Size,QP | Proposedmethod | Methodin |\n| --- | --- | --- |\n| 64×64,22 | 0.72 | 0.70 |\n| 128×128,22 | 0.88 | 0.87 |\n| 64×64,32 | 0.95 | 0.72 |","| 128×128,42 | 0.84 | 0.89 |\n| --- | --- | --- |\n| Average | 0.85 | 0.84 |",0]
["| QuantitativeMeasures | PSNR | SAM | ERGAS |\n| --- | --- | --- | --- |\n| Bicubic | 33.0236 | 0.1248 | 126.0507 |","| NRAM | 33.1197 | 0.1297 | 124.3686 |\n| --- | --- | --- | --- |\n| SparseRepresentation | 35.7409 | 0.1651 | 117.4637 |\n| NuclearNormPenalty | 36.9567 | 0.0843 | 95.0166 |\n| MCPPenalty | 37.8732 | 0.0720 | 88.5562 |",1]
["| QuantitativeMeasures | PSNR | SAM | ERGAS |\n| --- | --- | --- | --- |\n| Bicubic | 33.0236 | 0.1248 | 126.0507 |","| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |\n| --- | --- | --- | --- | --- | --- | --- |\n| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |\n| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 |  |\n| MCcSR | 34.14 | 34.11 | 34.09 | 34.09 | 34.07 |  |\n| SSIM | Bicubic | 0.745 | 0.731 | 0.698 | 0.672 | 0.619 |\n| ScSR | 0.774 | 0.772 | 0.766 | 0.761 | 0.752 |  |\n| MCcSR | 0.785 | 0.783 | 0.780 | 0.775 | 0.768 |  |\n| SCIELAB | Bicubic | 2.79E4 | 2.92E4 | 4.40E4 | 5.25E4 | 6.31E4 |\n| ScSR | 2.28E4 | 2.31E4 | 2.36E4 | 2.39E4 | 2.43E4 |  |\n| MCcSR | 2.14E4 | 2.16E4 | 2.20E4 | 2.21E4 | 2.23E4 |  |",0]
["| QuantitativeMeasures | PSNR | SAM | ERGAS |\n| --- | --- | --- | --- |\n| Bicubic | 33.0236 | 0.1248 | 126.0507 |\n| NRAM | 33.1197 | 0.1297 | 124.3686 |\n| SparseRepresentation | 35.7409 | 0.1651 | 117.4637 |","| NuclearNormPenalty | 36.9567 | 0.0843 | 95.0166 |\n| --- | --- | --- | --- |\n| MCPPenalty | 37.8732 | 0.0720 | 88.5562 |",1]
["| QuantitativeMeasures | PSNR | SAM | ERGAS |\n| --- | --- | --- | --- |\n| Bicubic | 33.0236 | 0.1248 | 126.0507 |\n| NRAM | 33.1197 | 0.1297 | 124.3686 |\n| SparseRepresentation | 35.7409 | 0.1651 | 117.4637 |","| MCcSR | 34.14 | 34.11 | 34.09 | 34.09 | 34.07 |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SSIM | Bicubic | 0.745 | 0.731 | 0.698 | 0.672 | 0.619 |\n| ScSR | 0.774 | 0.772 | 0.766 | 0.761 | 0.752 |  |\n| MCcSR | 0.785 | 0.783 | 0.780 | 0.775 | 0.768 |  |\n| SCIELAB | Bicubic | 2.79E4 | 2.92E4 | 4.40E4 | 5.25E4 | 6.31E4 |\n| ScSR | 2.28E4 | 2.31E4 | 2.36E4 | 2.39E4 | 2.43E4 |  |\n| MCcSR | 2.14E4 | 2.16E4 | 2.20E4 | 2.21E4 | 2.23E4 |  |",0]
["| Method | Sintel | Driving | FlyingThings3D | Monkaa | KITTI2015 | Parameters | Speed |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DispNet | 5.38 | 15.62 | 2.02 | 5.99 | 2.19 | 38.4M | 16.67Hz |","| SGM | 19.62 | 40.19 | 8.70 | 20.16 | 7.21 | - | 0.91Hz |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MC-CNN-fast | 11.94 | 19.58 | 4.09 | 6.71 | - | 0.6M | 1.25Hz |\n| DenseMapNet | 4.41 | 6.56 | 5.07 | 4.45 | 2.52 | 0.29M | >30Hz |",1]
["| Method | Sintel | Driving | FlyingThings3D | Monkaa | KITTI2015 | Parameters | Speed |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DispNet | 5.38 | 15.62 | 2.02 | 5.99 | 2.19 | 38.4M | 16.67Hz |","| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| Method | Sintel | Driving | FlyingThings3D | Monkaa | KITTI2015 | Parameters | Speed |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DispNet | 5.38 | 15.62 | 2.02 | 5.99 | 2.19 | 38.4M | 16.67Hz |","| SGM | 19.62 | 40.19 | 8.70 | 20.16 | 7.21 | - | 0.91Hz |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MC-CNN-fast | 11.94 | 19.58 | 4.09 | 6.71 | - | 0.6M | 1.25Hz |\n| DenseMapNet | 4.41 | 6.56 | 5.07 | 4.45 | 2.52 | 0.29M | >30Hz |",1]
["| Method | Sintel | Driving | FlyingThings3D | Monkaa | KITTI2015 | Parameters | Speed |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| DispNet | 5.38 | 15.62 | 2.02 | 5.99 | 2.19 | 38.4M | 16.67Hz |","| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",0]
["| Agree1 |  |\n| --- | --- |\n| Method | AccuracyF1RecallPrecision |","| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,60230,48960,38140,6833<br>0,49070,01790,00930,2500<br>0,51400,65790,93490,5076<br>0,52090,65440,90700,5118 |\n| --- | --- |\n| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,60000,50000,39390,6842<br>0,49230,01490,00760,5000<br>0,53850,65120,84850,5283<br>0,54230,64690,82580,5317 |\n| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,60750,53410,45450,6475<br>0,51250,05800,03030,6667<br>0,50750,63590,86870,5015<br>0,51250,63140,84340,5045 |\n| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,65280,56140,44440,7619<br>0,49720,03720,01940,4375<br>0,52920,65720,90280,5167<br>0,54440,66050,88610,5264 |",1]
["| Agree1 |  |\n| --- | --- |\n| Method | AccuracyF1RecallPrecision |","| Image | Method | CSr |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.02 | 0.04 | 0.06 | 0.08 | 0.10 |  |  |\n| Barbara | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.44,0.389<br>21.32,0.588<br>16.79,0.400<br>15.08,0.354<br>26.15,0.812 | 18.03,0.422<br>22.58,0.620<br>18.90,0.433<br>17.76,0.417<br>27.29,0.835 | 19.70,0.470<br>23.28,0.639<br>20.56,0.501<br>20.44,0.496<br>27.40,0.837 | 21.85,0.561<br>23.78,0.654<br>24.00,0.659<br>22.66,0.623<br>28.05,0.848 | 23.70,0.635<br>24.25,0.667<br>25.13,0.725<br>24.05,0.660<br>28.30,0.852 |\n| Boats | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.76,0.398<br>21.58,0.634<br>17.20,0.409<br>15.52,0.365<br>30.79,0.898 | 17.98,0.440<br>23.66,0.681<br>19.41,0.489<br>18.41,0.456<br>31.73,0.909 | 20.11,0.507<br>24.57,0.699<br>21.76,0.559<br>20.76,0.528<br>31.84,0.910 | 23.21,0.624<br>25.22,0.713<br>23.76,0.638<br>22.85,0.600<br>32.35,0.916 | 24.65,0.687<br>25.75,0.725<br>25.52,0.711<br>25.22,0.703<br>32.33,0.912 |\n| Cameraman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.84,0.432<br>20.33,0.557<br>17.00,0.436<br>16.13,0.401<br>25.88,0.828 | 18.34,0.496<br>21.53,0.579<br>19.10,0.531<br>17.51,0.461<br>26.47,0.829 | 20.62,0.585<br>22.02,0.580<br>21.60,0.620<br>19.84,0.562<br>26.66,0.823 | 22.32,0.654<br>22.37,0.578<br>23.99,0.709<br>21.74,0.629<br>27.16,0.824 | 23.85,0.711<br>23.19,0.688<br>26.25,0.789<br>23.61,0.705<br>27.64,0.819 |\n| Foreman | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.96,0.610<br>23.35,0.777<br>19.64,0.645<br>19.42,0.639<br>34.01,0.934 | 21.06,0.680<br>26.81,0.808<br>22.33,0.695<br>22.07,0.687<br>34.61,0.936 | 25.48,0.726<br>28.47,0.821<br>28.09,0.809<br>26.31,0.750<br>35.18,0.937 | 29.80,0.831<br>29.45,0.828<br>31.68,0.865<br>29.12,0.813<br>35.33,0.939 | 31.69,0.866<br>30.02,0.833<br>34.15,0.900<br>31.90,0.872<br>36.02,0.939 |\n| House | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 18.12,0.518<br>22.57,0.706<br>18.80,0.554<br>17.74,0.492<br>30.42,0.873 | 20.35,0.590<br>24.58,0.724<br>21.77,0.620<br>19.93,0.577<br>31.76,0.884 | 25.79,0.755<br>26.36,0.740<br>27.16,0.761<br>24.00,0.693<br>33.07,0.898 | 29.78,0.816<br>27.63,0.766<br>31.23,0.835<br>27.39,0.758<br>34.32,0.910 | 30.50,0.824<br>28.68,0.814<br>33.66,0.869<br>29.84,0.818<br>34.80,0.913 |\n| Lena | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.09,0.427<br>21.60,0.671<br>16.71,0.461<br>15.53,0.399<br>28.51,0.881 | 18.22,0.511<br>23.23,0.693<br>19.07,0.545<br>17.21,0.485<br>29.70,0.894 | 20.47,0.603<br>23.88,0.697<br>21.36,0.649<br>19.93,0.567<br>29.85,0.889 | 23.55,0.694<br>24.41,0.701<br>25.47,0.746<br>22.29,0.681<br>30.42,0.898 | 24.63,0.729<br>24.81,0.705<br>25.82,0.771<br>24.60,0.733<br>30.65,0.896 |\n| Monarch | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 14.55,0.352<br>17.31,0.537<br>14.69,0.357<br>14.01,0.334<br>26.14,0.884 | 15.24,0.390<br>18.91,0.577<br>16.03,0.413<br>14.86,0.366<br>27.28,0.895 | 17.65,0.500<br>19.82,0.595<br>18.53,0.552<br>17.55,0.497<br>28.21,0.901 | 19.75,0.581<br>20.56,0.611<br>21.84,0.686<br>19.84,0.587<br>28.97,0.904 | 21.64,0.666<br>21.24,0.624<br>25.12,0.796<br>21.77,0.675<br>29.25,0.904 |\n| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",0]
["| Agree1 |  |\n| --- | --- |\n| Method | AccuracyF1RecallPrecision |\n| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,60230,48960,38140,6833<br>0,49070,01790,00930,2500<br>0,51400,65790,93490,5076<br>0,52090,65440,90700,5118 |","| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,60000,50000,39390,6842<br>0,49230,01490,00760,5000<br>0,53850,65120,84850,5283<br>0,54230,64690,82580,5317 |\n| --- | --- |\n| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,60750,53410,45450,6475<br>0,51250,05800,03030,6667<br>0,50750,63590,86870,5015<br>0,51250,63140,84340,5045 |\n| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,65280,56140,44440,7619<br>0,49720,03720,01940,4375<br>0,52920,65720,90280,5167<br>0,54440,66050,88610,5264 |",1]
["| Agree1 |  |\n| --- | --- |\n| Method | AccuracyF1RecallPrecision |\n| Emo-Based<br>PBLGA<br>TFIDF<br>BOW | 0,60230,48960,38140,6833<br>0,49070,01790,00930,2500<br>0,51400,65790,93490,5076<br>0,52090,65440,90700,5118 |","| Parrots | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.62,0.506<br>21.11,0.714<br>17.39,0.550<br>16.89,0.520<br>28.28,0.899 | 19.32,0.613<br>22.90,0.722<br>20.84,0.681<br>19.55,0.619<br>28.88,0.893 | 23.070.693<br>23.47,0.714<br>24.95,0.782<br>22.62,0.684<br>29.22,0.890 | 25.04,0.761<br>24.38,0.770<br>28.18,0.835<br>24.10,0.711<br>29.55,0.887 | 26.10,0.787<br>25.84,0.804<br>30.35,0.875<br>26.31,0.792<br>29.84,0.885 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Average | BM3D-CS<br>TVAL3<br>NLR-CS<br>D-AMP<br>Ours | 16.80,0.454<br>21.15,0.648<br>17.28,0.477<br>16.29,0.438<br>28.77,0.876 | 18.57,0.518<br>23.02,0.676<br>19.68,0.551<br>18.41,0.509<br>29.71,0.884 | 21.61,0.605<br>23.98,0.685<br>23.00,0.654<br>21.43,0.610<br>30.18,0.886 | 24.42,0.690<br>24.72,0.703<br>26.27,0.747<br>23.75,0.675<br>30.77,0.891 | 25.85,0.738<br>25.47,0.732<br>28.25,0.805<br>25.91,0.745<br>31.10,0.890 |",0]
["| α | U/ScontactsperunittimetoyieldUagents | 0.5-5 |\n| --- | --- | --- |\n| β | U/Scontactsperunittimetoyieldimmuneagents | 0.5 |\n| γ | U/ScontactsperunittimeattransmissionrateγfromStoV | 0.2 |","| µ | V/ScontactsperunittimeattransmissionrateµfromStoU | 0.1 |\n| --- | --- | --- |\n| ξ | 1/ξtimeunitsanindividualremainsspreader | 1-30 |\n| η | 1/ηtimeanindividualremainsviolent | 1-20 |\n| κ | ContactratethattransmitsItoU | 0.5 |\n| σ | U/UcontactratetransmittingthemtoV | 0.5 |",1]
["| α | U/ScontactsperunittimetoyieldUagents | 0.5-5 |\n| --- | --- | --- |\n| β | U/Scontactsperunittimetoyieldimmuneagents | 0.5 |\n| γ | U/ScontactsperunittimeattransmissionrateγfromStoV | 0.2 |","| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| α | U/ScontactsperunittimetoyieldUagents | 0.5-5 |\n| --- | --- | --- |\n| β | U/Scontactsperunittimetoyieldimmuneagents | 0.5 |\n| γ | U/ScontactsperunittimeattransmissionrateγfromStoV | 0.2 |\n| µ | V/ScontactsperunittimeattransmissionrateµfromStoU | 0.1 |\n| ξ | 1/ξtimeunitsanindividualremainsspreader | 1-30 |","| η | 1/ηtimeanindividualremainsviolent | 1-20 |\n| --- | --- | --- |\n| κ | ContactratethattransmitsItoU | 0.5 |\n| σ | U/UcontactratetransmittingthemtoV | 0.5 |",1]
["| α | U/ScontactsperunittimetoyieldUagents | 0.5-5 |\n| --- | --- | --- |\n| β | U/Scontactsperunittimetoyieldimmuneagents | 0.5 |\n| γ | U/ScontactsperunittimeattransmissionrateγfromStoV | 0.2 |\n| µ | V/ScontactsperunittimeattransmissionrateµfromStoU | 0.1 |\n| ξ | 1/ξtimeunitsanindividualremainsspreader | 1-30 |","| m | Numberofcolumns |\n| --- | --- |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |","| SynRules | -13.08 | -12.78 |\n| --- | --- | --- |\n| SemColl | 24.32 | 3.38 |\n| TOTAL | -0.64 | -13.34 |",1]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |","| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |\n| SynRules | -13.08 | -12.78 |\n| SemColl | 24.32 | 3.38 |\n| TOTAL | -0.64 | -13.34 |",0]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |\n| SynRules | -13.08 | -12.78 |","| SemColl | 24.32 | 3.38 |\n| --- | --- | --- |\n| TOTAL | -0.64 | -13.34 |",1]
["| Function | Score<br>onQH | Score<br>onQL |\n| --- | --- | --- |\n| Low1 | -9.08 | -4.03 |\n| Low2 | -2.80 | 0.00 |\n| SynRules | -13.08 | -12.78 |","| SemColl | 24.32 | 3.38 |\n| --- | --- | --- |\n| TOTAL | -0.64 | -13.34 |",0]
["| AUC | MSE | ACC | F1 |\n| --- | --- | --- | --- |\n| LinearRegression |  |  |  |\n| 0.684 | 0.039 | 0.813 | 0.53 |","| LogisticsRegression |  |  |  |\n| --- | --- | --- | --- |\n| 0.745 | 0.171 | 0.75 | 0.6 |\n| RandomForestRegression |  |  |  |\n| 0.701 | 0.035 | 0.82 | 0.56 |\n| RandomForestClassiﬁer |  |  |  |\n| 0.745 | 0.151 | 0.781 | 0.61 |",1]
["| AUC | MSE | ACC | F1 |\n| --- | --- | --- | --- |\n| LinearRegression |  |  |  |\n| 0.684 | 0.039 | 0.813 | 0.53 |","| Model | M1,AGMIC | M2,AGMIC |\n| --- | --- | --- |\n| Task | 1/0,20/2 | 0/1,21/2 |\n| PR | 0.9820.51 | 0.80.77 |\n| RE | 10.53 | 0.810.87 |\n| Acc | 0.9820.61 | 0.720.73 |\n| AUC | 0.830.574 | 0.780.67 |",0]
["| AUC | MSE | ACC | F1 |\n| --- | --- | --- | --- |\n| LinearRegression |  |  |  |\n| 0.684 | 0.039 | 0.813 | 0.53 |","| LogisticsRegression |  |  |  |\n| --- | --- | --- | --- |\n| 0.745 | 0.171 | 0.75 | 0.6 |\n| RandomForestRegression |  |  |  |\n| 0.701 | 0.035 | 0.82 | 0.56 |\n| RandomForestClassiﬁer |  |  |  |\n| 0.745 | 0.151 | 0.781 | 0.61 |",1]
["| AUC | MSE | ACC | F1 |\n| --- | --- | --- | --- |\n| LinearRegression |  |  |  |\n| 0.684 | 0.039 | 0.813 | 0.53 |","| PR | 0.9820.51 | 0.80.77 |\n| --- | --- | --- |\n| RE | 10.53 | 0.810.87 |\n| Acc | 0.9820.61 | 0.720.73 |\n| AUC | 0.830.574 | 0.780.67 |",0]
["| \\|Ω\\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |","| 0.02 | 180 | 180.96 | 210 | 217.24 | 400 | 338.10 | 344 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.03 | 165 | 170.66 | 192 | 197.58 | 400 | 336.50 | 307 |\n| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |\n| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |\n| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |\n| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 |",1]
["| \\|Ω\\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |","|  | m2 | m3 | m4 | m5 | m6 |\n| --- | --- | --- | --- | --- | --- |\n| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |\n| N | 9159 | 9159 | 9159 | 9159 | 9159 |\n| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["| \\|Ω\\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |\n| 0.02 | 180 | 180.96 | 210 | 217.24 | 400 | 338.10 | 344 |\n| 0.03 | 165 | 170.66 | 192 | 197.58 | 400 | 336.50 | 307 |\n| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |\n| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |","| 0.15 | 118 | 124.43 | 129 | 133.76 | 400 | 341.33 | 211 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.25 | 108 | 111.98 | 114 | 116.32 | 400 | 351.30 | 188 |",1]
["| \\|Ω\\|<br>mnN | AR-BC-ADMM | P-BC-ADMM | TFOCS |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |\n| 0.01 | 215 | 217.98 | 266 | 271.72 | 400 | 334.08 | 543 |\n| 0.02 | 180 | 180.96 | 210 | 217.24 | 400 | 338.10 | 344 |\n| 0.03 | 165 | 170.66 | 192 | 197.58 | 400 | 336.50 | 307 |\n| 0.05 | 146 | 152.56 | 171 | 175.42 | 400 | 338.13 | 268 |\n| 0.10 | 127 | 134.35 | 144 | 148.66 | 400 | 339.83 | 226 |","| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |\n| --- | --- | --- | --- | --- | --- |\n| K | 14627 | 28494 | 41472 | 53596 | 64840 |\n| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |\n| L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |\n| Dsw | 16 | 9 | 7 | 6 | 6 |\n| D | 26 | 15 | 11 | 10 | 8 |\n| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |\n| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |\n| ωsw | 5 | 5 | 5 | 5 | 5 |\n| ω | 15 | 15 | 15 | 15 | 15 |",0]
["| Numberofexamples |\n| --- |\n| 3611 |","| 83270 |\n| --- |\n| 66685 |\n| 4402 |",1]
["| Numberofexamples |\n| --- |\n| 3611 |","| NumberofApps | NumberofHLI |\n| --- | --- |\n| 176 | [1,49) |\n| 13 | [49,97) |\n| 2 | [97,145) |\n| 0 | [145,193) |\n| 3 | [193,241) |",0]
["| Numberofexamples |\n| --- |\n| 3611 |\n| 83270 |","| 66685 |\n| --- |\n| 4402 |",1]
["| Numberofexamples |\n| --- |\n| 3611 |\n| 83270 |","| 0 | [145,193) |\n| --- | --- |\n| 3 | [193,241) |",0]
["| K | optimalregret | robustrevenue | robustwelfare | solditems | time |\n| --- | --- | --- | --- | --- | --- |\n|  | x=10,x=500,∆=30 |  |  |  |  |","| 5<br>10<br>20<br>30<br>40<br>50 | 111.27<br>623.27<br>3116.27<br>7464.82<br>13324.82<br>18785.75 | 1452.45<br>3518.00<br>5687.00<br>6393.45<br>5505.18<br>5282.00 | 133.72<br>96.00<br>72.00<br>57.64<br>19.09<br>11.00 | 4.18<br>7.91<br>12.00<br>13.27<br>11.27<br>10.75 | 11.94<br>17.79<br>287.04<br>7565.10<br>10946.47<br>10262.33 |\n| --- | --- | --- | --- | --- | --- |\n|  | x=10,x=500,∆=50 |  |  |  |  |\n| 5<br>10<br>20<br>30<br>40<br>50 | 200.09<br>1148.73<br>5024.36<br>10534.55<br>16941.36<br>22709.09 | 1390.00<br>3037.36<br>4012.45<br>3660.55<br>2349.09<br>1876.00 | 84.18<br>116.18<br>50.18<br>15.55<br>9.54<br>0.45 | 3.73<br>6.91<br>8.45<br>7.55<br>4.81<br>3.82 | 11.73<br>16.60<br>203.89<br>8451.96<br>8452.51<br>10433.85 |\n|  | x=100,x=500,∆=50 |  |  |  |  |\n| 5<br>10<br>20<br>30<br>40<br>50 | 284.27<br>1611.36<br>6126.09<br>12098.45<br>17864.73<br>23881.71 | 1453.27<br>2736.64<br>3161.00<br>2365.91<br>1695.55<br>987.43 | 90.55<br>80.36<br>28.00<br>2.91<br>2.91<br>0.00 | 3.73<br>6.09<br>6.55<br>4.82<br>3.45<br>2.00 | 13.18<br>14.11<br>145.86<br>6733.55<br>9937.67<br>10466.73 |\n|  | =1000,∆=50x=100,x |  |  |  |  |\n| 5<br>10<br>20<br>30<br>40<br>50 | 175.82<br>742.64<br>5437.09<br>12198.00<br>24506.00<br>31608.00 | 2937.45<br>7422.36<br>12043.00<br>15526.60<br>12933.67<br>6151.00 | 269.91<br>329.09<br>218.09<br>159.10<br>54.33<br>86.00 | 4.27<br>8.55<br>12.82<br>16.10<br>13.33<br>16.50 | 10.94<br>15.97<br>361.68<br>9316.22<br>9345.68<br>10804.96 |",1]
["| K | optimalregret | robustrevenue | robustwelfare | solditems | time |\n| --- | --- | --- | --- | --- | --- |\n|  | x=10,x=500,∆=30 |  |  |  |  |","| NumberofNodes | ConvergenceRate | OptimalGossipWeight |\n| --- | --- | --- |\n| 4 | 0.8 | 0.6 |\n| 5 | 0.6 | 0.7 |\n| 6 | 0.6 | 0.7 |\n| 7 | 0.6 | 0.7 |\n| 8 | 0.4 | 0.8 |\n| 9 | 0.4 | 0.8 |\n| 10 | 0.4 | 0.8 |\n| 11 | 0.4 | 0.8 |\n| 12 | 0.4 | 0.8 |\n| 13 | 0.3034 | 0.8 |\n| 14 | 0.2412 | 0.8 |\n| 15 | 0.2015 | 0.8 |\n| 16 | 0.2 | 0.9 |\n| 17 | 0.2 | 0.9 |\n| 18 | 0.2 | 0.9 |\n| 19 | 0.2 | 0.9 |\n| 20 | 0.2 | 0.9 |",0]
["| K | optimalregret | robustrevenue | robustwelfare | solditems | time |\n| --- | --- | --- | --- | --- | --- |\n|  | x=10,x=500,∆=30 |  |  |  |  |\n| 5<br>10<br>20<br>30<br>40<br>50 | 111.27<br>623.27<br>3116.27<br>7464.82<br>13324.82<br>18785.75 | 1452.45<br>3518.00<br>5687.00<br>6393.45<br>5505.18<br>5282.00 | 133.72<br>96.00<br>72.00<br>57.64<br>19.09<br>11.00 | 4.18<br>7.91<br>12.00<br>13.27<br>11.27<br>10.75 | 11.94<br>17.79<br>287.04<br>7565.10<br>10946.47<br>10262.33 |","|  | x=10,x=500,∆=50 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 5<br>10<br>20<br>30<br>40<br>50 | 200.09<br>1148.73<br>5024.36<br>10534.55<br>16941.36<br>22709.09 | 1390.00<br>3037.36<br>4012.45<br>3660.55<br>2349.09<br>1876.00 | 84.18<br>116.18<br>50.18<br>15.55<br>9.54<br>0.45 | 3.73<br>6.91<br>8.45<br>7.55<br>4.81<br>3.82 | 11.73<br>16.60<br>203.89<br>8451.96<br>8452.51<br>10433.85 |\n|  | x=100,x=500,∆=50 |  |  |  |  |\n| 5<br>10<br>20<br>30<br>40<br>50 | 284.27<br>1611.36<br>6126.09<br>12098.45<br>17864.73<br>23881.71 | 1453.27<br>2736.64<br>3161.00<br>2365.91<br>1695.55<br>987.43 | 90.55<br>80.36<br>28.00<br>2.91<br>2.91<br>0.00 | 3.73<br>6.09<br>6.55<br>4.82<br>3.45<br>2.00 | 13.18<br>14.11<br>145.86<br>6733.55<br>9937.67<br>10466.73 |\n|  | =1000,∆=50x=100,x |  |  |  |  |\n| 5<br>10<br>20<br>30<br>40<br>50 | 175.82<br>742.64<br>5437.09<br>12198.00<br>24506.00<br>31608.00 | 2937.45<br>7422.36<br>12043.00<br>15526.60<br>12933.67<br>6151.00 | 269.91<br>329.09<br>218.09<br>159.10<br>54.33<br>86.00 | 4.27<br>8.55<br>12.82<br>16.10<br>13.33<br>16.50 | 10.94<br>15.97<br>361.68<br>9316.22<br>9345.68<br>10804.96 |",1]
["| K | optimalregret | robustrevenue | robustwelfare | solditems | time |\n| --- | --- | --- | --- | --- | --- |\n|  | x=10,x=500,∆=30 |  |  |  |  |\n| 5<br>10<br>20<br>30<br>40<br>50 | 111.27<br>623.27<br>3116.27<br>7464.82<br>13324.82<br>18785.75 | 1452.45<br>3518.00<br>5687.00<br>6393.45<br>5505.18<br>5282.00 | 133.72<br>96.00<br>72.00<br>57.64<br>19.09<br>11.00 | 4.18<br>7.91<br>12.00<br>13.27<br>11.27<br>10.75 | 11.94<br>17.79<br>287.04<br>7565.10<br>10946.47<br>10262.33 |","| 19 | 0.2 | 0.9 |\n| --- | --- | --- |\n| 20 | 0.2 | 0.9 |",0]
["| ModelandApproach | ABSq |\n| --- | --- |\n| M2+M5+M10+NETXGB | 0.0368 |\n| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |","| VGG-PCAMLP | 0.0287 |\n| --- | --- |\n| 3DCNN | 0.0284 |",1]
["| ModelandApproach | ABSq |\n| --- | --- |\n| M2+M5+M10+NETXGB | 0.0368 |\n| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |","| Model | PredictionAccuracy |\n| --- | --- |\n| NIN | 0.8677 |\n| VGG | 0.8914 |\n| ResNet32 | 0.9181 |\n| ResNet44 | 0.9243 |\n| ResNet56 | 0.9272 |\n| ResNet110 | 0.9399 |",0]
["| ModelandApproach | ABSq |\n| --- | --- |\n| M2+M5+M10+NETXGB | 0.0368 |\n| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |","| VGG-PCAMLP | 0.0287 |\n| --- | --- |\n| 3DCNN | 0.0284 |",1]
["| ModelandApproach | ABSq |\n| --- | --- |\n| M2+M5+M10+NETXGB | 0.0368 |\n| VGG-PCA+M1+M5+M25+NETLOGXGB | 0.0338 |","| ResNet44 | 0.9243 |\n| --- | --- |\n| ResNet56 | 0.9272 |\n| ResNet110 | 0.9399 |",0]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype |\n| --- | --- | --- | --- |\n| AES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T200 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T700 | LeaksthekeythroughcovertCDMAchannel | Speciﬁcplaintext | II |\n| AES-T900 | LeaksthekeythroughcovertCDMAchannel | Counter | II |","| AES-T1100 | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |\n| --- | --- | --- | --- |\n| AES-T2000 | LeaksthekeythroughPSCofshiftregister | Speciﬁcplaintext | II |\n| AES-T2100 | LeaksthekeythroughPSCofshiftregister | Plaintextsequence(FSM) | II |\n| RSA-T100 | Leaksthekeythroughciphertextoutput | Speciﬁcplaintext | I |\n| RSA-T300 | Leaksthekeythroughciphertextoutput | Counter | I |\n| DES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| PRESENT-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T1100(M) | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |",1]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype |\n| --- | --- | --- | --- |\n| AES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T200 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T700 | LeaksthekeythroughcovertCDMAchannel | Speciﬁcplaintext | II |\n| AES-T900 | LeaksthekeythroughcovertCDMAchannel | Counter | II |","| Benchmarks | Trojanpayload | Trojantrigger | Trojantype | #ofControlpoints |\n| --- | --- | --- | --- | --- |\n| PIC-T100 | Manipulatesprogramexecutionﬂow | Counter | II | 17 |\n| PIC-T200 | Manipulatesinstructionregister | Counter | II | 41 |\n| b19-T500 | Manipulatesinstructionregister | FSM | II | 193 |\n| RS232-T500 | Manipulatesacontrolsignal | Counter | II | 13 |\n| s35932-T100 | Manipulatesscanmode | Counter | II | 23 |\n| RSA-T400 | Replacesthekeytoleakplaintext | Counter | II | 34 |",0]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype |\n| --- | --- | --- | --- |\n| AES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T200 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T700 | LeaksthekeythroughcovertCDMAchannel | Speciﬁcplaintext | II |\n| AES-T900 | LeaksthekeythroughcovertCDMAchannel | Counter | II |\n| AES-T1100 | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |","| AES-T2000 | LeaksthekeythroughPSCofshiftregister | Speciﬁcplaintext | II |\n| --- | --- | --- | --- |\n| AES-T2100 | LeaksthekeythroughPSCofshiftregister | Plaintextsequence(FSM) | II |\n| RSA-T100 | Leaksthekeythroughciphertextoutput | Speciﬁcplaintext | I |\n| RSA-T300 | Leaksthekeythroughciphertextoutput | Counter | I |\n| DES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| PRESENT-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T1100(M) | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |",1]
["| Benchmarks | Trojanpayload | Trojantrigger | Trojantype |\n| --- | --- | --- | --- |\n| AES-T100 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T200 | LeaksthekeythroughcovertCDMAchannel | Alwayson | II |\n| AES-T700 | LeaksthekeythroughcovertCDMAchannel | Speciﬁcplaintext | II |\n| AES-T900 | LeaksthekeythroughcovertCDMAchannel | Counter | II |\n| AES-T1100 | LeaksthekeythroughcovertCDMAchannel | Plaintextsequence(FSM) | II |","| s35932-T100 | Manipulatesscanmode | Counter | II | 23 |\n| --- | --- | --- | --- | --- |\n| RSA-T400 | Replacesthekeytoleakplaintext | Counter | II | 34 |",0]
["| Scale“Color” | DeﬁningSteps |\n| --- | --- |\n| Chromatic | RHHHHHHHHHHHHR |\n| Major | RWWHWWWHR |\n| (Natural)Minor | RWHWWHWWR |","| Diminished | RHWHWHWHWR |\n| --- | --- |\n| Augmented | RAHAHAHR |",1]
["| Scale“Color” | DeﬁningSteps |\n| --- | --- |\n| Chromatic | RHHHHHHHHHHHHR |\n| Major | RWWHWWWHR |\n| (Natural)Minor | RWHWWHWWR |","| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |\n| Denoise-sq | 0.8 | uniform | approximate |\n| Denoise-ts | 0.7 | uniform | approximate |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["| Scale“Color” | DeﬁningSteps |\n| --- | --- |\n| Chromatic | RHHHHHHHHHHHHR |","| Major | RWWHWWWHR |\n| --- | --- |\n| (Natural)Minor | RWHWWHWWR |\n| Diminished | RHWHWHWHWR |\n| Augmented | RAHAHAHR |",1]
["| Scale“Color” | DeﬁningSteps |\n| --- | --- |\n| Chromatic | RHHHHHHHHHHHHR |","| Denoise-sq | 0.8 | uniform | approximate |\n| --- | --- | --- | --- |\n| Denoise-ts | 0.7 | uniform | approximate |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["| Probleminstance | 4096<br>16×256 | 8192<br>32×256 | 16384<br>64×256 | 32768<br>128×256 | 65536<br>256×256 | 131072<br>512×256 | 262144<br>1024×256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200×20 | 46,63 | 60,88 | 63,80 | 67,51 | 73,47 | 75,94 | 77,46 |\n| 100×20 | 45,35 | 58,49 | 60,15 | 62,75 | 66,49 | 66,64 | 67,01 |\n| 50×20 | 44,39 | 58,30 | 57,72 | 57,68 | 57,37 | 57,01 | 56,42 |","| 20×20 | 41,71 | 50,28 | 49,19 | 45,90 | 42,03 | 41,80 | 41,65 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AverageSpeedup | 44,52 | 56,99 | 57,72 | 58,46 | 59,84 | 60,35 | 60,64 |",1]
["| Probleminstance | 4096<br>16×256 | 8192<br>32×256 | 16384<br>64×256 | 32768<br>128×256 | 65536<br>256×256 | 131072<br>512×256 | 262144<br>1024×256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200×20 | 46,63 | 60,88 | 63,80 | 67,51 | 73,47 | 75,94 | 77,46 |\n| 100×20 | 45,35 | 58,49 | 60,15 | 62,75 | 66,49 | 66,64 | 67,01 |\n| 50×20 | 44,39 | 58,30 | 57,72 | 57,68 | 57,37 | 57,01 | 56,42 |","| M | Orig.<br>#T | #KB | #I | NetFABB<br>#T | #KB | #I | D | MeshMixer<br>#T | #KB | #I | D |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 4002 | 781 | 98 | 4564 | 890 | 296 | 0 | 32738 | 6387 | 0 | 0.43 |\n| 2 | 145 | 28 | 42 | 264 | 50 | 0 | 11.3 | 30678 | 5981 | 0 | 0.47 |\n| 3 | 20 | 4 | 18 | 12 | 3 | 0 | 4.9 | 26122 | 4876 | 0 | 0.41 |\n| 4 | 15294 | 4176 | 5060 | 21064 | 4653 | 1102 | 18.5 | 1058720 | 223453 | 0 | 0.46 |\n| 5 | 52851 | 11842 | 7914 | 59712 | 13378 | 2142 | 3.8 | 1337174 | 302297 | 0 | 0.45 |",0]
["| Probleminstance | 4096<br>16×256 | 8192<br>32×256 | 16384<br>64×256 | 32768<br>128×256 | 65536<br>256×256 | 131072<br>512×256 | 262144<br>1024×256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200×20 | 46,63 | 60,88 | 63,80 | 67,51 | 73,47 | 75,94 | 77,46 |\n| 100×20 | 45,35 | 58,49 | 60,15 | 62,75 | 66,49 | 66,64 | 67,01 |\n| 50×20 | 44,39 | 58,30 | 57,72 | 57,68 | 57,37 | 57,01 | 56,42 |","| 20×20 | 41,71 | 50,28 | 49,19 | 45,90 | 42,03 | 41,80 | 41,65 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AverageSpeedup | 44,52 | 56,99 | 57,72 | 58,46 | 59,84 | 60,35 | 60,64 |",1]
["| Probleminstance | 4096<br>16×256 | 8192<br>32×256 | 16384<br>64×256 | 32768<br>128×256 | 65536<br>256×256 | 131072<br>512×256 | 262144<br>1024×256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200×20 | 46,63 | 60,88 | 63,80 | 67,51 | 73,47 | 75,94 | 77,46 |\n| 100×20 | 45,35 | 58,49 | 60,15 | 62,75 | 66,49 | 66,64 | 67,01 |\n| 50×20 | 44,39 | 58,30 | 57,72 | 57,68 | 57,37 | 57,01 | 56,42 |","| 4 | 15294 | 4176 | 5060 | 21064 | 4653 | 1102 | 18.5 | 1058720 | 223453 | 0 | 0.46 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 52851 | 11842 | 7914 | 59712 | 13378 | 2142 | 3.8 | 1337174 | 302297 | 0 | 0.45 |",0]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |\n| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |\n| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |","| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |\n| --- | --- | --- | --- | --- |\n| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |\n| Average | 0.88 | 0.83 | 0.220 | 0.330 |",1]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |\n| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |\n| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |","| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.797 | 0.743 | 0.389 | 0.355 |\n| CreativeMP3Player | 0.818 | 0.692 | 0.293 | 0.319 |\n| NikonCamera | 0.792 | 0.710 | 0.265 | 0.457 |\n| NokiaPhone | 0.761 | 0.718 | 0.328 | 0.489 |\n| CanonCamera | 0.822 | 0.747 | 0.352 | 0.286 |\n| Average | 0.8 | 0.72 | 0.325 | 0.381 |",0]
["| Corpus | Original | Ours |  |\n| --- | --- | --- | --- |\n| P | R | P | R |","| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |\n| --- | --- | --- | --- | --- |\n| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |\n| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |\n| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |\n| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |\n| Average | 0.88 | 0.83 | 0.220 | 0.330 |",1]
["| Corpus | Original | Ours |  |\n| --- | --- | --- | --- |\n| P | R | P | R |","| NikonCamera | 0.792 | 0.710 | 0.265 | 0.457 |\n| --- | --- | --- | --- | --- |\n| NokiaPhone | 0.761 | 0.718 | 0.328 | 0.489 |\n| CanonCamera | 0.822 | 0.747 | 0.352 | 0.286 |\n| Average | 0.8 | 0.72 | 0.325 | 0.381 |",0]
["| Set1 | #ofpairs | Averagecosinesimilarity |  |\n| --- | --- | --- | --- |\n| SA | DSA |  |  |\n| fathervs.father | 406 | 0.5047 | 0.5209 |\n| fathervs.mother | 832 | 0.2639 | 0.2748 |\n| fathervs.another | 1276 | 0.1964 | 0.1861 |\n| Set2 | #ofpairs | Averagecosinesimilarity |  |\n| SA | DSA |  |  |\n| evervs.ever | 46 | 0.4027 | 0.4265 |","| evervs.never | 1581 | 0.2475 | 0.2238 |\n| --- | --- | --- | --- |\n| evervs.however | 713 | 0.2638 | 0.2419 |",1]
["| Set1 | #ofpairs | Averagecosinesimilarity |  |\n| --- | --- | --- | --- |\n| SA | DSA |  |  |\n| fathervs.father | 406 | 0.5047 | 0.5209 |\n| fathervs.mother | 832 | 0.2639 | 0.2748 |\n| fathervs.another | 1276 | 0.1964 | 0.1861 |\n| Set2 | #ofpairs | Averagecosinesimilarity |  |\n| SA | DSA |  |  |\n| evervs.ever | 46 | 0.4027 | 0.4265 |","| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |\n| in | 2106 | 11109 | 0.48 | 0.28 |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |\n| this | 713 | 5176 | 0.33 | 0.39 |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| Set1 | #ofpairs | Averagecosinesimilarity |  |\n| --- | --- | --- | --- |\n| SA | DSA |  |  |\n| fathervs.father | 406 | 0.5047 | 0.5209 |","| fathervs.mother | 832 | 0.2639 | 0.2748 |\n| --- | --- | --- | --- |\n| fathervs.another | 1276 | 0.1964 | 0.1861 |\n| Set2 | #ofpairs | Averagecosinesimilarity |  |\n| SA | DSA |  |  |\n| evervs.ever | 46 | 0.4027 | 0.4265 |\n| evervs.never | 1581 | 0.2475 | 0.2238 |\n| evervs.however | 713 | 0.2638 | 0.2419 |",1]
["| Set1 | #ofpairs | Averagecosinesimilarity |  |\n| --- | --- | --- | --- |\n| SA | DSA |  |  |\n| fathervs.father | 406 | 0.5047 | 0.5209 |","| an | 432 | 1784 | 0.48 | 0.38 |\n| --- | --- | --- | --- | --- |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| Similarity | Outlets | Grouped | Comm. | Mod. | Cond. |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 |","| Vocabulary | 79 | 341 | 52 | 262 | 7 | 14 | 0.38 | 0.38 | 0.02 | 0.35 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Topics | 79 | 341 | 50 | 133 | 4 | 7 | 0.60 | 0.58 | 0.11 | 0.26 |\n| MinHash | 75 | 365 | 50 | 355 | 6 | 11 | 0.40 | 0.74 | 0.01 | 0.04 |",1]
["| Similarity | Outlets | Grouped | Comm. | Mod. | Cond. |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 |","| Name | Type | \\|V\\| | \\|E\\| | Indexingtime(original) | Indexsize(original) |\n| --- | --- | --- | --- | --- | --- |\n| Facebook | Social | 334 | 2218 | 13.7ms | 178.6KB |\n| Last.fm | Social | 1892 | 12717 | 125.3ms | 1.3MB |\n| GrQc | Social | 5242 | 14496 | 152.9ms | 2.7MB |\n| HepTh | Social | 9877 | 25998 | 631.2ms | 7.8MB |\n| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",0]
["| Similarity | Outlets | Grouped | Comm. | Mod. | Cond. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 |  |\n| Vocabulary | 79 | 341 | 52 | 262 | 7 | 14 | 0.38 | 0.38 | 0.02 | 0.35 |","| Topics | 79 | 341 | 50 | 133 | 4 | 7 | 0.60 | 0.58 | 0.11 | 0.26 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MinHash | 75 | 365 | 50 | 355 | 6 | 11 | 0.40 | 0.74 | 0.01 | 0.04 |",1]
["| Similarity | Outlets | Grouped | Comm. | Mod. | Cond. |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 | ds15 | ds16 |  |\n| Vocabulary | 79 | 341 | 52 | 262 | 7 | 14 | 0.38 | 0.38 | 0.02 | 0.35 |","| CondMat | Social | 23133 | 186936 | 3.2s | 26.4MB |\n| --- | --- | --- | --- | --- | --- |\n| NotreDame | Web | 325729 | 1497134 | 52.3s | 617.7MB |",0]
["| PearsonCorrelation | Features |\n| --- | --- |\n| 0.799 | 137 |\n| 0.804 | 214 |\n| 0.827 | N/A |\n| 0.827 | 32 |","| 0.828 | 72 |\n| --- | --- |\n| 0.849 | 0 |\n| 0.851 | 0 |",1]
["| PearsonCorrelation | Features |\n| --- | --- |\n| 0.799 | 137 |\n| 0.804 | 214 |\n| 0.827 | N/A |\n| 0.827 | 32 |","|  | Pearson | Spearman | KendalTao | Distancecorrelation | MutualInfo |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | before | after | before | after | before | after | before | after | before | after |\n| UniGram | 0.302 | 0.751 | 0.215 | 0.425 | 0.205 | 0.376 | 0.264 | 0.808 | 0.811 | 0.863 |\n| Bi-gram | 0.314 | 0.714 | 0.241 | 0.464 | 0.231 | 0.425 | 0.291 | 0.723 | 0.533 | 0.827 |\n| Tri-gram | 0.284 | 0.648 | 0.214 | 0.381 | 0.205 | 0.346 | 0.252 | 0.691 | 0.512 | 0.723 |\n| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |\n| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 |\n| BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 |\n| BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |",0]
["| PearsonCorrelation | Features |\n| --- | --- |\n| 0.799 | 137 |\n| 0.804 | 214 |\n| 0.827 | N/A |\n| 0.827 | 32 |\n| 0.828 | 72 |","| 0.849 | 0 |\n| --- | --- |\n| 0.851 | 0 |",1]
["| PearsonCorrelation | Features |\n| --- | --- |\n| 0.799 | 137 |\n| 0.804 | 214 |\n| 0.827 | N/A |\n| 0.827 | 32 |\n| 0.828 | 72 |","| Skip-gram-2 | 0.308 | 0.645 | 0.241 | 0.650 | 0.231 | 0.542 | 0.286 | 0.744 | 0.705 | 0.854 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip-gram-3 | 0.308 | 0.632 | 0.224 | 0.580 | 0.214 | 0.541 | 0.258 | 0.707 | 0.551 | 0.873 |\n| BOW-2 | 0.310 | 0.669 | 0.260 | 0.621 | 0.244 | 0.525 | 0.299 | 0.759 | 0.702 | 0.851 |\n| BOW-3 | 0.327 | 0.515 | 0.274 | 0.720 | 0.261 | 0.683 | 0.284 | 0.814 | 0.699 | 0.850 |",0]
["| FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 47.1 | 17.8 | 8.5 |\n| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |","| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |\n| --- | --- | --- | --- |\n| SA | 175.1 | 204.5 | 223.3 |\n| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |\n| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |\n| SHSSL | 75.4 | 30.8 | 12.7 |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",1]
["| FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 47.1 | 17.8 | 8.5 |\n| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |","| FuncC | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 36.9 | 13.7 | 6.4 |\n| TS-SPL-INF | 52.8(21.9) | 38.8(7.8) | 34.9(3.9) |\n| PBS-M | 49.6(18.7) | 39.2(8.3) | 34.3(3.3) |\n| SGBS-M | 47.2(16.2) | 34.6(3.6) | 32.5(1.6) |\n| BZ-M | 58.8(27.9) | 38.4(7.4) | 33.7(2.7) |\n| SA | 149.0 | 178.0 | 185.0 |\n| ASS | 54.3(23.4) | 39(8.0) | 33.5(2.5) |\n| HSSL | 75.2(44.3) | 44.3(13.4) | 35.6(4.6) |\n| SHSSL | 56.5 | 18.4 | 6.4 |\n| CPL-AdS | 153.0(101.6) | 156.2(103.7) | 165.0(109.6) |",0]
["| FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 47.1 | 17.8 | 8.5 |\n| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |","| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |\n| --- | --- | --- | --- |\n| SA | 175.1 | 204.5 | 223.3 |\n| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |\n| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |\n| SHSSL | 75.4 | 30.8 | 12.7 |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",1]
["| FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 47.1 | 17.8 | 8.5 |\n| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |","| SA | 149.0 | 178.0 | 185.0 |\n| --- | --- | --- | --- |\n| ASS | 54.3(23.4) | 39(8.0) | 33.5(2.5) |\n| HSSL | 75.2(44.3) | 44.3(13.4) | 35.6(4.6) |\n| SHSSL | 56.5 | 18.4 | 6.4 |\n| CPL-AdS | 153.0(101.6) | 156.2(103.7) | 165.0(109.6) |",0]
["| Names |  |  | Bi-grams |\n| --- | --- | --- | --- |\n| petitt | pettit | pettitt | p,pe,et,ti,it,tt,t |\n| mamara | marama | maramara | m,ma,am,ar,ra,a |","| lewellyn | llewellyn | llewelyn | l,le,ew,we,el,ll,ly,yn,n |\n| --- | --- | --- | --- |\n| takata | takataka | tataka | t,ta,ak,ka,at,a |\n| linemann | linneman | linnemann | l,li,in,ne,em,ma,an,nn,n |\n| mulally | mullally | mullaly | m,mu,ul,la,al,ll,ly,y |\n| bebee | beebe | beebee | b,be,eb,ee,e |\n| kirisits | kiritsis | kitsiris | k,ki,ir,ri,is,si,it,ts,s |\n| minisi | minisini | misini | m,mi,in,ni,is,si,i |\n| kaparas | karapapas | karapas | k,ka,ap,pa,ar,ra,as,s |\n| hanemann | hanneman | hannemann | h,ha,ne,em,ma,an,nn,n |\n| amara | amarama | arama | a,am,ma,ar,ra,a |\n| pulella | pullela | pullella | p,pu,ul,le,el,ll,la,a |\n| debeen | deebeen | deeben | d,de,eb,be,ee,en,n |\n| peirrera | pereirra | perreira | p,pe,ei,ir,rr,re,er,ra,a |",1]
["| Names |  |  | Bi-grams |\n| --- | --- | --- | --- |\n| petitt | pettit | pettitt | p,pe,et,ti,it,tt,t |\n| mamara | marama | maramara | m,ma,am,ar,ra,a |","| FamilyName | Size | FamilyName | Size |\n| --- | --- | --- | --- |\n| ABU,Banload | 16 | Hupigon,AWQ | 219 |\n| Agent,Agent | 42 | IRCBot,Sdbot | 66 |\n| Agent,Small | 15 | LdPinch,LdPinch | 16 |\n| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |\n| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",0]
["| Names |  |  | Bi-grams |\n| --- | --- | --- | --- |\n| petitt | pettit | pettitt | p,pe,et,ti,it,tt,t |\n| mamara | marama | maramara | m,ma,am,ar,ra,a |\n| lewellyn | llewellyn | llewelyn | l,le,ew,we,el,ll,ly,yn,n |\n| takata | takataka | tataka | t,ta,ak,ka,at,a |\n| linemann | linneman | linnemann | l,li,in,ne,em,ma,an,nn,n |","| mulally | mullally | mullaly | m,mu,ul,la,al,ll,ly,y |\n| --- | --- | --- | --- |\n| bebee | beebe | beebee | b,be,eb,ee,e |\n| kirisits | kiritsis | kitsiris | k,ki,ir,ri,is,si,it,ts,s |\n| minisi | minisini | misini | m,mi,in,ni,is,si,i |\n| kaparas | karapapas | karapas | k,ka,ap,pa,ar,ra,as,s |\n| hanemann | hanneman | hannemann | h,ha,ne,em,ma,an,nn,n |\n| amara | amarama | arama | a,am,ma,ar,ra,a |\n| pulella | pullela | pullella | p,pu,ul,le,el,ll,la,a |\n| debeen | deebeen | deeben | d,de,eb,be,ee,en,n |\n| peirrera | pereirra | perreira | p,pe,ei,ir,rr,re,er,ra,a |",1]
["| Names |  |  | Bi-grams |\n| --- | --- | --- | --- |\n| petitt | pettit | pettitt | p,pe,et,ti,it,tt,t |\n| mamara | marama | maramara | m,ma,am,ar,ra,a |\n| lewellyn | llewellyn | llewelyn | l,le,ew,we,el,ll,ly,yn,n |\n| takata | takataka | tataka | t,ta,ak,ka,at,a |\n| linemann | linneman | linnemann | l,li,in,ne,em,ma,an,nn,n |","| Allaple,RAHack | 201 | Lmir,LegMir | 23 |\n| --- | --- | --- | --- |\n| Ardamax,Ardamax | 25 | Mydoom,Mydoom | 15 |\n| Bactera,VB | 28 | Nilage,Lineage | 24 |\n| Banbra,Banker | 52 | OnLineGames,Delf | 11 |\n| Bancos,Banker | 46 | OnLineGames,LegMir | 76 |\n| Banker,Banker | 317 | OnLineGames,Mmorpg | 19 |\n| Banker,Delf | 20 | OnLineGames,OnLineGames | 23 |\n| Banload,Banker | 138 | Parite,Pate | 71 |\n| BDH,Small | 5 | Plemood,Pupil | 32 |\n| BGM,Delf | 17 | PolyCrypt,Swizzor | 43 |\n| Bifrose,CEP | 35 | Prorat,AVW | 40 |\n| Bobax,Bobic | 15 | Rbot,Sdbot | 302 |\n| DKI,PoisonIvy | 15 | SdBot,SdBot | 75 |\n| DNSChanger,DNSChanger | 22 | Small,Downloader | 29 |\n| Downloader,Agent | 13 | Stration,Warezov | 19 |\n| Downloader,Delf | 22 | Swizzor,Obfuscated | 27 |\n| Downloader,VB | 17 | Viking,HLLP | 32 |\n| Gaobot,Agobot | 20 | Virut,Virut | 115 |\n| Gobot,Gbot | 58 | VS,INService | 17 |\n| Horst,CMQ | 48 | Zhelatin,ASH | 53 |\n| Hupigon,ARR | 33 | Zlob,Puper | 64 |",0]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | FISTA-p<br>FISTA<br>ADAL | 1.83e+001<br>2.49e+001<br>1.35e+001 | 12<br>24<br>181 | 2.34e+001<br>2.51e+001<br>1.00e+000 | 8.4892e+002<br>8.4893e+002<br>8.4892e+002 |","| ogl-dct-1000-10000-1 | FISTA-p<br>FISTA<br>ADAL | 3.16e+001<br>6.33e+001<br>4.43e+001 | 14<br>44<br>270 | 1.73e+001<br>1.74e+001<br>1.00e+000 | 1.4887e+003<br>1.4887e+003<br>1.4887e+003 |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-15000-1 | FISTA-p<br>FISTA<br>ADAL | 4.29e+001<br>9.73e+001<br>5.37e+001 | 14<br>54<br>216 | 1.51e+001<br>1.32e+001<br>1.00e+000 | 2.7506e+003<br>2.7506e+003<br>2.7506e+003 |\n| ogl-dct-1000-20000-1 | FISTA-p<br>FISTA<br>ADAL | 7.53e+001<br>1.81e+002<br>1.57e+002 | 13<br>64<br>390 | 2.06e+001<br>1.61e+001<br>1.00e+000 | 3.3416e+003<br>3.3415e+003<br>3.3415e+003 |\n| ogl-dct-1000-25000-1 | FISTA-p<br>FISTA<br>ADAL | 7.41e+001<br>1.76e+002<br>8.79e+001 | 15<br>89<br>231 | 1.47e+001<br>8.64e+000<br>1.00e+000 | 4.1987e+003<br>4.1987e+003<br>4.1987e+003 |\n| ogl-dct-1000-30000-1 | FISTA-p<br>FISTA<br>ADAL | 8.95e+001<br>2.24e+002<br>1.12e+002 | 14<br>94<br>249 | 1.58e+001<br>8.54e+000<br>1.00e+000 | 4.6111e+003<br>4.6111e+003<br>4.6111e+003 |",1]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | FISTA-p<br>FISTA<br>ADAL | 1.83e+001<br>2.49e+001<br>1.35e+001 | 12<br>24<br>181 | 2.34e+001<br>2.51e+001<br>1.00e+000 | 8.4892e+002<br>8.4893e+002<br>8.4892e+002 |","| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 1.53e+001<br>1.61e+001<br>3.02e+001<br>1.97e+001 | 266<br>10<br>16<br>- | 1.00e+000<br>3.05e+001<br>4.09e+001<br>- | 7.3218e+002<br>7.3219e+002<br>7.3233e+002<br>7.3236e+002 |\n| ogl-dct-1000-10000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 3.30e+001<br>3.16e+001<br>7.27e+001<br>3.67e+001 | 330<br>10<br>24<br>- | 1.00e+000<br>3.10e+001<br>3.25e+001<br>- | 1.2707e+003<br>1.2708e+003<br>1.2708e+003<br>1.2709e+003 |\n| ogl-dct-1000-15000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 4.83e+001<br>5.40e+001<br>8.64e+001<br>9.91e+001 | 328<br>15<br>23<br>- | 1.00e+000<br>2.52e+001<br>2.66e+001<br>- | 2.2444e+003<br>2.2444e+003<br>2.2449e+003<br>2.2467e+003 |\n| ogl-dct-1000-20000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 8.09e+001<br>8.09e+001<br>1.48e+002<br>2.55e+002 | 463<br>16<br>26<br>- | 1.00e+000<br>2.88e+001<br>2.93e+001<br>- | 2.6340e+003<br>2.6340e+003<br>2.6342e+003<br>2.6357e+003 |\n| ogl-dct-1000-25000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 7.48e+001<br>1.15e+002<br>2.09e+002<br>1.38e+002 | 309<br>30<br>38<br>- | 1.00e+000<br>1.83e+001<br>2.30e+001<br>- | 3.5566e+003<br>3.5566e+003<br>3.5568e+003<br>3.5571e+003 |\n| ogl-dct-1000-30000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 9.99e+001<br>1.55e+002<br>2.60e+002<br>1.07e+002 | 359<br>29<br>39<br>- | 1.00e+000<br>2.17e+001<br>2.25e+001<br>- | 3.7057e+003<br>3.7057e+003<br>3.7060e+003<br>3.7063e+003 |",0]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | FISTA-p<br>FISTA<br>ADAL | 1.83e+001<br>2.49e+001<br>1.35e+001 | 12<br>24<br>181 | 2.34e+001<br>2.51e+001<br>1.00e+000 | 8.4892e+002<br>8.4893e+002<br>8.4892e+002 |","| ogl-dct-1000-10000-1 | FISTA-p<br>FISTA<br>ADAL | 3.16e+001<br>6.33e+001<br>4.43e+001 | 14<br>44<br>270 | 1.73e+001<br>1.74e+001<br>1.00e+000 | 1.4887e+003<br>1.4887e+003<br>1.4887e+003 |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-15000-1 | FISTA-p<br>FISTA<br>ADAL | 4.29e+001<br>9.73e+001<br>5.37e+001 | 14<br>54<br>216 | 1.51e+001<br>1.32e+001<br>1.00e+000 | 2.7506e+003<br>2.7506e+003<br>2.7506e+003 |\n| ogl-dct-1000-20000-1 | FISTA-p<br>FISTA<br>ADAL | 7.53e+001<br>1.81e+002<br>1.57e+002 | 13<br>64<br>390 | 2.06e+001<br>1.61e+001<br>1.00e+000 | 3.3416e+003<br>3.3415e+003<br>3.3415e+003 |\n| ogl-dct-1000-25000-1 | FISTA-p<br>FISTA<br>ADAL | 7.41e+001<br>1.76e+002<br>8.79e+001 | 15<br>89<br>231 | 1.47e+001<br>8.64e+000<br>1.00e+000 | 4.1987e+003<br>4.1987e+003<br>4.1987e+003 |\n| ogl-dct-1000-30000-1 | FISTA-p<br>FISTA<br>ADAL | 8.95e+001<br>2.24e+002<br>1.12e+002 | 14<br>94<br>249 | 1.58e+001<br>8.54e+000<br>1.00e+000 | 4.6111e+003<br>4.6111e+003<br>4.6111e+003 |",1]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | FISTA-p<br>FISTA<br>ADAL | 1.83e+001<br>2.49e+001<br>1.35e+001 | 12<br>24<br>181 | 2.34e+001<br>2.51e+001<br>1.00e+000 | 8.4892e+002<br>8.4893e+002<br>8.4892e+002 |","| ogl-dct-1000-20000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 8.09e+001<br>8.09e+001<br>1.48e+002<br>2.55e+002 | 463<br>16<br>26<br>- | 1.00e+000<br>2.88e+001<br>2.93e+001<br>- | 2.6340e+003<br>2.6340e+003<br>2.6342e+003<br>2.6357e+003 |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-25000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 7.48e+001<br>1.15e+002<br>2.09e+002<br>1.38e+002 | 309<br>30<br>38<br>- | 1.00e+000<br>1.83e+001<br>2.30e+001<br>- | 3.5566e+003<br>3.5566e+003<br>3.5568e+003<br>3.5571e+003 |\n| ogl-dct-1000-30000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 9.99e+001<br>1.55e+002<br>2.60e+002<br>1.07e+002 | 359<br>29<br>39<br>- | 1.00e+000<br>2.17e+001<br>2.25e+001<br>- | 3.7057e+003<br>3.7057e+003<br>3.7060e+003<br>3.7063e+003 |",0]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .600 | .662 | .765 | .792 |\n| RESP | .571 | .630 | .735 | .770 |\n| ANMS | .642 | .696 | .779 | .803 |","| RND+ME | .646 | .702 | .764 | .770 |\n| --- | --- | --- | --- | --- |\n| ANMS+ME | .699 | .734 | .780 | .781 |",1]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .600 | .662 | .765 | .792 |\n| RESP | .571 | .630 | .735 | .770 |\n| ANMS | .642 | .696 | .779 | .803 |","| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .390 | .462 | .586 | .616 |\n| RESP | .389 | .461 | .600 | .625 |\n| ANMS | .461 | .508 | .614 | .620 |\n| RND+ME | .469 | .529 | .625 | .638 |\n| ANMS+ME | .542 | .588 | .648 | .644 |\n| RND+MER | .481 | .539 | .626 | .634 |\n| ANMS+MER | .551 | .591 | .648 | .640 |",0]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .600 | .662 | .765 | .792 |\n| RESP | .571 | .630 | .735 | .770 |\n| ANMS | .642 | .696 | .779 | .803 |","| RND+ME | .646 | .702 | .764 | .770 |\n| --- | --- | --- | --- | --- |\n| ANMS+ME | .699 | .734 | .780 | .781 |",1]
["| ↓Appr.→n | 50 | 100 | 500 | 1000 |\n| --- | --- | --- | --- | --- |\n| RND | .600 | .662 | .765 | .792 |\n| RESP | .571 | .630 | .735 | .770 |\n| ANMS | .642 | .696 | .779 | .803 |","| ANMS | .461 | .508 | .614 | .620 |\n| --- | --- | --- | --- | --- |\n| RND+ME | .469 | .529 | .625 | .638 |\n| ANMS+ME | .542 | .588 | .648 | .644 |\n| RND+MER | .481 | .539 | .626 | .634 |\n| ANMS+MER | .551 | .591 | .648 | .640 |",0]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |","| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| --- | --- | --- | --- | --- | --- | --- |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",1]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |","| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |\n| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",0]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |","| 3 | 0.82 | 0.29 | 0.96 | 0.79 | 10.81 | BEstrong |\n| --- | --- | --- | --- | --- | --- | --- |\n| 4 | 0.71 | 0.81 | 0.53 | 0.77 | -1.69 | MBweak |\n| 5 | 0.25 | 0.79 | 0.39 | 0.93 | 14.27 | BEstrong |\n| 6 | 0.62 | 0.59 | 0.61 | 0.57 | -0.37 | MBweak |\n| 7 | 0.72 | 0.41 | 0.64 | 0.83 | 12.66 | BEstrong |\n| 8 | 0.63 | 0.58 | 0.47 | 0.73 | 5.53 | BEpositive |\n| 9 | 0.45 | 0.87 | 0.26 | 0.67 | -9.69 | MBstrong |\n| 10 | 0.59 | 0.50 | 0.63 | 0.77 | 7.17 | BEpositive |\n| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",1]
["| i | Pi<br>p<br>1 | R<br>MB | Pi<br>p<br>1 | R<br>BE | ∆<br>BIC | BestModel |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0.55 | -0.05 | 0.16 | 0.78 | 19.31 | BEstrong |\n| 2 | 0.57 | 0.78 | 0.42 | 0.44 | -9.54 | MBstrong |","| 11 | 0.86 | 0.46 | 1.00 | 0.87 | 11.4 | BEstrong |\n| --- | --- | --- | --- | --- | --- | --- |\n| 12 | 0.21 | 0.77 | 0.00 | 0.87 | 6.68 | BEpositive |\n| 13 | 0.62 | 0.54 | 0.71 | 0.67 | 2.97 | BEweak |\n| 14 | 0.81 | 0.20 | 0.91 | 0.90 | 20.68 | BEstrong |",0]
["|  | ave=30 | ave=<br>130 | ave=<br>230 |\n| --- | --- | --- | --- |\n| NSNT | 5.135 | 5.080 | 4.869 |\n| NSAT | 5.153 | 5.099 | 4.887 |\n| NSMT | 5.172 | 5.109 | 4.903 |\n| ASNT | 4.752 | 4.761 | 4.577 |\n| ASAT | 5.029 | 5.054 | 4.805 |\n| ASMT | 5.962 | 5.910 | 5.807 |","| MSNT | 4.849 | 4.857 | 4.678 |\n| --- | --- | --- | --- |\n| MSAT | 5.115 | 5.133 | 4.900 |\n| MSMT | 5.051 | 5.077 | 4.863 |\n| NeuralNetwork | 4.725 | 4.829 | - |\n| Multiple<br>Regression | 4.557 | 4.530 | 4.375 |",1]
["|  | ave=30 | ave=<br>130 | ave=<br>230 |\n| --- | --- | --- | --- |\n| NSNT | 5.135 | 5.080 | 4.869 |\n| NSAT | 5.153 | 5.099 | 4.887 |\n| NSMT | 5.172 | 5.109 | 4.903 |\n| ASNT | 4.752 | 4.761 | 4.577 |\n| ASAT | 5.029 | 5.054 | 4.805 |\n| ASMT | 5.962 | 5.910 | 5.807 |","| Dataset | DDER | CoR | RLMS | Ours |\n| --- | --- | --- | --- | --- |\n| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |\n| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |\n| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |\n| my01 | 5.61 | 2.79 | 4.35 | 2.89 |\n| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |\n| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |\n| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |\n| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",0]
["|  | ave=30 | ave=<br>130 | ave=<br>230 |\n| --- | --- | --- | --- |\n| NSNT | 5.135 | 5.080 | 4.869 |\n| NSAT | 5.153 | 5.099 | 4.887 |\n| NSMT | 5.172 | 5.109 | 4.903 |","| ASNT | 4.752 | 4.761 | 4.577 |\n| --- | --- | --- | --- |\n| ASAT | 5.029 | 5.054 | 4.805 |\n| ASMT | 5.962 | 5.910 | 5.807 |\n| MSNT | 4.849 | 4.857 | 4.678 |\n| MSAT | 5.115 | 5.133 | 4.900 |\n| MSMT | 5.051 | 5.077 | 4.863 |\n| NeuralNetwork | 4.725 | 4.829 | - |\n| Multiple<br>Regression | 4.557 | 4.530 | 4.375 |",1]
["|  | ave=30 | ave=<br>130 | ave=<br>230 |\n| --- | --- | --- | --- |\n| NSNT | 5.135 | 5.080 | 4.869 |\n| NSAT | 5.153 | 5.099 | 4.887 |\n| NSMT | 5.172 | 5.109 | 4.903 |","| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |\n| --- | --- | --- | --- | --- |\n| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |\n| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |\n| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |\n| luc05 | 3.39 | 2.39 | 3.44 | 2.88 |",0]
["| Processor | Gﬂop/s |\n| --- | --- |\n| 2530-MHzIntelP4(icc) | 1.17 |\n| 2530-MHzIntelP4(SSE) | 6.51 |\n| 2600-MHzAMDOpteron8435 | 13.88 |\n| 2660-MHzIntelXeonE5430 | 16.34 |\n| 2100-MHzAMDOpteron6172(Hopper) | 14.25 |\n| PowerXCell8i(singleSPE) | 16.36 |\n| 2200-MHzAMDOpteron6274(Jaguar) | 16.97 |","| 2600-MHzIntelXeonE5-2670(AVX) | 28.41 |\n| --- | --- |\n| 1300-MHzNVIDIAM2090GPU(16SMs) | 1097.00 |\n| 732-MHzNVIDIAK20XGPU(15SMs) | 2243.00 |",1]
["| Processor | Gﬂop/s |\n| --- | --- |\n| 2530-MHzIntelP4(icc) | 1.17 |\n| 2530-MHzIntelP4(SSE) | 6.51 |\n| 2600-MHzAMDOpteron8435 | 13.88 |\n| 2660-MHzIntelXeonE5430 | 16.34 |\n| 2100-MHzAMDOpteron6172(Hopper) | 14.25 |\n| PowerXCell8i(singleSPE) | 16.36 |\n| 2200-MHzAMDOpteron6274(Jaguar) | 16.97 |","| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| Processor | Gﬂop/s |\n| --- | --- |\n| 2530-MHzIntelP4(icc) | 1.17 |","| 2530-MHzIntelP4(SSE) | 6.51 |\n| --- | --- |\n| 2600-MHzAMDOpteron8435 | 13.88 |\n| 2660-MHzIntelXeonE5430 | 16.34 |\n| 2100-MHzAMDOpteron6172(Hopper) | 14.25 |\n| PowerXCell8i(singleSPE) | 16.36 |\n| 2200-MHzAMDOpteron6274(Jaguar) | 16.97 |\n| 2600-MHzIntelXeonE5-2670(AVX) | 28.41 |\n| 1300-MHzNVIDIAM2090GPU(16SMs) | 1097.00 |\n| 732-MHzNVIDIAK20XGPU(15SMs) | 2243.00 |",1]
["| Processor | Gﬂop/s |\n| --- | --- |\n| 2530-MHzIntelP4(icc) | 1.17 |","| CoreClock(MHz) | 1607 | 1417 |\n| --- | --- | --- |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |","| 0.968 | 0.970 | 0.970 | 0.968 |\n| --- | --- | --- | --- |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",1]
["| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |","| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |\n| 0.968 | 0.970 | 0.970 | 0.968 |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |","| 0.680 | 0.690 | 0.694 | 0.695 |\n| --- | --- | --- | --- |\n| 0.715 | 0.709 | 0.714 | 0.715 |",1]
["| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |\n| 0.968 | 0.970 | 0.970 | 0.968 |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |","| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| Language | #ofTokens | #ofUniqueTokens | Projects |\n| --- | --- | --- | --- |\n| Java | 16797357 | 283255 | 12 |","| Haskell | 19113708 | 473065 | 100 |\n| --- | --- | --- | --- |\n| Ruby | 17187917 | 862575 | 15 |\n| Clojure | 12553943 | 563610 | 561 |\n| C | 14172588 | 306901 | 10 |",1]
["| Language | #ofTokens | #ofUniqueTokens | Projects |\n| --- | --- | --- | --- |\n| Java | 16797357 | 283255 | 12 |","| lang | uniquetokens | tokens |\n| --- | --- | --- |\n| en | 4.238 | 902.044 |\n| de | 4.233 | 312.380 |\n| fr | 1.749 | 247.492 |\n| ru | 1.766 | 202.163 |\n| it | 1.411 | 178.378 |\n| nl | 2.021 | 105.224 |\n| pt | 0.873 | 96.712 |\n| sv | 1.730 | 82.376 |\n| es | 0.829 | 76.587 |\n| ar | 1.653 | 46.481 |\n| fa | 0.925 | 32.557 |",0]
["| Language | #ofTokens | #ofUniqueTokens | Projects |\n| --- | --- | --- | --- |\n| Java | 16797357 | 283255 | 12 |\n| Haskell | 19113708 | 473065 | 100 |","| Ruby | 17187917 | 862575 | 15 |\n| --- | --- | --- | --- |\n| Clojure | 12553943 | 563610 | 561 |\n| C | 14172588 | 306901 | 10 |",1]
["| Language | #ofTokens | #ofUniqueTokens | Projects |\n| --- | --- | --- | --- |\n| Java | 16797357 | 283255 | 12 |\n| Haskell | 19113708 | 473065 | 100 |","| sv | 1.730 | 82.376 |\n| --- | --- | --- |\n| es | 0.829 | 76.587 |\n| ar | 1.653 | 46.481 |\n| fa | 0.925 | 32.557 |",0]
["|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |","| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| --- | --- | --- | --- | --- |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",1]
["|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |","|  | CNN | DailyMail |  |  |\n| --- | --- | --- | --- | --- |\n|  | Train | Test | Train | Test |\n| Frequency | 33.2 | 35.0 | 33.4 | 32.4 |\n| WA | 47.3 | 50.6 | 54.3 | 53.4 |\n| nBOW | 40.3 | 43.5 | 48.7 | 47.8 |\n| WMD | 41.2 | 44.0 | 49.3 | 48.5 |\n| FS | 18.9 | 22.0 | 25.2 | 24.3 |",0]
["|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |","| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| --- | --- | --- | --- | --- |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",1]
["|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |","| WA | 47.3 | 50.6 | 54.3 | 53.4 |\n| --- | --- | --- | --- | --- |\n| nBOW | 40.3 | 43.5 | 48.7 | 47.8 |\n| WMD | 41.2 | 44.0 | 49.3 | 48.5 |\n| FS | 18.9 | 22.0 | 25.2 | 24.3 |",0]
["|  | VirtualPortraitDataCleansingStrategies |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Normal-based | Gamma-based | IQR-based | df=148 | df=188 |  |\n| Accuracy | 0.9878 | 0.9865 | 0.9879 | 0.9582 | 0.9716 |\n| Precision | 0.8857 | 0.9375 | 0.9118 | 0.8182 | 0.7917 |\n| Recall | 0.7750 | 0.7500 | 0.7750 | 0.2250 | 0.4750 |\n| F−measure | 0.8267 | 0.8333 | 0.8378 | 0.3529 | 0.5938 |","| RunningTime(s) | 0.036 | 0.036 | 0.037 | 0.040 | 0.051 |\n| --- | --- | --- | --- | --- | --- |\n| MemoryUsage(MB) | 0.067 | 0.067 | 0.067 | 2.933 | 3.605 |",1]
["|  | VirtualPortraitDataCleansingStrategies |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Normal-based | Gamma-based | IQR-based | df=148 | df=188 |  |\n| Accuracy | 0.9878 | 0.9865 | 0.9879 | 0.9582 | 0.9716 |\n| Precision | 0.8857 | 0.9375 | 0.9118 | 0.8182 | 0.7917 |\n| Recall | 0.7750 | 0.7500 | 0.7750 | 0.2250 | 0.4750 |\n| F−measure | 0.8267 | 0.8333 | 0.8378 | 0.3529 | 0.5938 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |\n| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["|  | VirtualPortraitDataCleansingStrategies |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Normal-based | Gamma-based | IQR-based | df=148 | df=188 |  |\n| Accuracy | 0.9878 | 0.9865 | 0.9879 | 0.9582 | 0.9716 |\n| Precision | 0.8857 | 0.9375 | 0.9118 | 0.8182 | 0.7917 |\n| Recall | 0.7750 | 0.7500 | 0.7750 | 0.2250 | 0.4750 |\n| F−measure | 0.8267 | 0.8333 | 0.8378 | 0.3529 | 0.5938 |","| RunningTime(s) | 0.036 | 0.036 | 0.037 | 0.040 | 0.051 |\n| --- | --- | --- | --- | --- | --- |\n| MemoryUsage(MB) | 0.067 | 0.067 | 0.067 | 2.933 | 3.605 |",1]
["|  | VirtualPortraitDataCleansingStrategies |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Normal-based | Gamma-based | IQR-based | df=148 | df=188 |  |\n| Accuracy | 0.9878 | 0.9865 | 0.9879 | 0.9582 | 0.9716 |\n| Precision | 0.8857 | 0.9375 | 0.9118 | 0.8182 | 0.7917 |\n| Recall | 0.7750 | 0.7500 | 0.7750 | 0.2250 | 0.4750 |\n| F−measure | 0.8267 | 0.8333 | 0.8378 | 0.3529 | 0.5938 |","| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| --- | --- | --- | --- | --- |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["|  |  | Compressed | S-D | AR-CNN | D-128 | D-256 | D-Base-256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q=5 | PSNR | 24.61 | 25.83 | 26.64 | 26.26 | 27.37 | 25.83 |\n| SSIM | 0.7020 | 0.7170 | 0.7274 | 0.7203 | 0.7303 | 0.7186 |  |\n| PSNR-B | 22.01 | 25.64 | 26.46 | 25.86 | 26.95 | 25.51 |  |\n| Q=10 | PSNR | 27.77 | 28.88 | 29.03 | 28.62 | 29.96 | 28.24 |","| SSIM | 0.7905 | 0.8195 | 0.8218 | 0.8198 | 0.8233 | 0.8161 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR-B | 25.33 | 27.96 | 28.76 | 28.33 | 29.45 | 27.57 |  |\n| Q=20 | PSNR | 30.07 | 31.62 | 31.30 | 31.20 | 32.21 | 31.27 |\n| SSIM | 0.8683 | 0.8830 | 0.8871 | 0.8829 | 0.8903 | 0.8868 |  |\n| PSNR-B | 27.57 | 29.73 | 30.80 | 30.56 | 31.35 | 29.25 |  |\n| #Param |  | \\ | NA | 106,448 | 33,280 | 66,560 | 66,560 |",1]
["|  |  | Compressed | S-D | AR-CNN | D-128 | D-256 | D-Base-256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q=5 | PSNR | 24.61 | 25.83 | 26.64 | 26.26 | 27.37 | 25.83 |\n| SSIM | 0.7020 | 0.7170 | 0.7274 | 0.7203 | 0.7303 | 0.7186 |  |\n| PSNR-B | 22.01 | 25.64 | 26.46 | 25.86 | 26.95 | 25.51 |  |\n| Q=10 | PSNR | 27.77 | 28.88 | 29.03 | 28.62 | 29.96 | 28.24 |","|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["|  |  | Compressed | S-D | AR-CNN | D-128 | D-256 | D-Base-256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q=5 | PSNR | 24.61 | 25.83 | 26.64 | 26.26 | 27.37 | 25.83 |\n| SSIM | 0.7020 | 0.7170 | 0.7274 | 0.7203 | 0.7303 | 0.7186 |  |","| PSNR-B | 22.01 | 25.64 | 26.46 | 25.86 | 26.95 | 25.51 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q=10 | PSNR | 27.77 | 28.88 | 29.03 | 28.62 | 29.96 | 28.24 |\n| SSIM | 0.7905 | 0.8195 | 0.8218 | 0.8198 | 0.8233 | 0.8161 |  |\n| PSNR-B | 25.33 | 27.96 | 28.76 | 28.33 | 29.45 | 27.57 |  |\n| Q=20 | PSNR | 30.07 | 31.62 | 31.30 | 31.20 | 32.21 | 31.27 |\n| SSIM | 0.8683 | 0.8830 | 0.8871 | 0.8829 | 0.8903 | 0.8868 |  |\n| PSNR-B | 27.57 | 29.73 | 30.80 | 30.56 | 31.35 | 29.25 |  |\n| #Param |  | \\ | NA | 106,448 | 33,280 | 66,560 | 66,560 |",1]
["|  |  | Compressed | S-D | AR-CNN | D-128 | D-256 | D-Base-256 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Q=5 | PSNR | 24.61 | 25.83 | 26.64 | 26.26 | 27.37 | 25.83 |\n| SSIM | 0.7020 | 0.7170 | 0.7274 | 0.7203 | 0.7303 | 0.7186 |  |","| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |","| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| (noBG) | .373 | .074 | .132 | .342 | .058 | .130 |\n| HDT | .362 | .065 | .131 | .337 | .052 | .122 |\n| t-HDP | .360 | .064 | .128 | .338 | .053 | .113 |\n| HDP | .348 | .055 | .114 | .323 | .050 | .108 |\n| D-LDA | .358 | .060 | .120 | .330 | .048 | .111 |\n| LDA | .334 | .046 | .110 | .319 | .050 | .107 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .158 |\n| (noBG) | .376 | .070 | .128 | .431 | .089 | .159 |\n| HDT | .373 | .068 | .124 | .426 | .086 | .151 |\n| t-HDP | .366 | .068 | .121 | .410 | .080 | .138 |\n| HDP | .361 | .062 | .114 | .398 | .073 | .132 |\n| D-LDA | .368 | .070 | .120 | .413 | .078 | .135 |\n| LDA | .352 | .062 | .110 | .392 | .072 | .126 |",1]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |","|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| Centroid | .297 | .039 | .081 | .279 | .031 | .087 |\n| GMDS | .286 | .044 | .088 | .288 | .033 | .081 |\n| Chieu | .335 | .056 | .115 | .313 | .048 | .119 |\n| ETTS | .340 | .054 | .120 | .327 | .044 | .120 |\n| Random | .227 | .031 | .071 | .213 | .028 | .068 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .157 |\n| Centriod | .285 | .038 | .094 | .332 | .048 | .098 |\n| GMS | .306 | .044 | .095 | .341 | .054 | .109 |\n| Chieu | .353 | .058 | .112 | .366 | .076 | .124 |\n| ETTS | .359 | .062 | .117 | .379 | .075 | .132 |\n| Random | .224 | .027 | .070 | .230 | .035 | .076 |",0]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| (noBG) | .373 | .074 | .132 | .342 | .058 | .130 |\n| HDT | .362 | .065 | .131 | .337 | .052 | .122 |\n| t-HDP | .360 | .064 | .128 | .338 | .053 | .113 |\n| HDP | .348 | .055 | .114 | .323 | .050 | .108 |\n| D-LDA | .358 | .060 | .120 | .330 | .048 | .111 |\n| LDA | .334 | .046 | .110 | .319 | .050 | .107 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .158 |\n| (noBG) | .376 | .070 | .128 | .431 | .089 | .159 |\n| HDT | .373 | .068 | .124 | .426 | .086 | .151 |","| t-HDP | .366 | .068 | .121 | .410 | .080 | .138 |\n| --- | --- | --- | --- | --- | --- | --- |\n| HDP | .361 | .062 | .114 | .398 | .073 | .132 |\n| D-LDA | .368 | .070 | .120 | .413 | .078 | .135 |\n| LDA | .352 | .062 | .110 | .392 | .072 | .126 |",1]
["|  | FinancialCrisis | GreekDebtCrisis |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .382 | .079 | .142 | .366 | .064 | .136 |\n| (L=3) | .386 | .078 | .144 | .370 | .062 | .136 |\n| (noBG) | .373 | .074 | .132 | .342 | .058 | .130 |\n| HDT | .362 | .065 | .131 | .337 | .052 | .122 |\n| t-HDP | .360 | .064 | .128 | .338 | .053 | .113 |\n| HDP | .348 | .055 | .114 | .323 | .050 | .108 |\n| D-LDA | .358 | .060 | .120 | .330 | .048 | .111 |\n| LDA | .334 | .046 | .110 | .319 | .050 | .107 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .158 |\n| (noBG) | .376 | .070 | .128 | .431 | .089 | .159 |\n| HDT | .373 | .068 | .124 | .426 | .086 | .151 |","| ETTS | .340 | .054 | .120 | .327 | .044 | .120 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Random | .227 | .031 | .071 | .213 | .028 | .068 |\n|  | AmericanElection | ArabSpring |  |  |  |  |\n| systems | R-1 | R-2 | R-W | R-1 | R-2 | R-W |\n| (L=2) | .384 | .074 | .132 | .446 | .096 | .165 |\n| (L=3) | .378 | .072 | .128 | .433 | .090 | .157 |\n| Centriod | .285 | .038 | .094 | .332 | .048 | .098 |\n| GMS | .306 | .044 | .095 | .341 | .054 | .109 |\n| Chieu | .353 | .058 | .112 | .366 | .076 | .124 |\n| ETTS | .359 | .062 | .117 | .379 | .075 | .132 |\n| Random | .224 | .027 | .070 | .230 | .035 | .076 |",0]
["| Parameter | Value | Meaning |\n| --- | --- | --- |\n| maxDerTriples | int | max.numberoftriples<br>allowedineachdereferencing |\n| saveGraph | boolean | Savethegraphsdereferenced |","| maxSize | int | traﬃclimit(inMBs) |\n| --- | --- | --- |\n| timeoutDer | long | connectiontime-out |\n| timeout | long | totaltime-out |\n| domains | List¡String¿ | trustedservers |",1]
["| Parameter | Value | Meaning |\n| --- | --- | --- |\n| maxDerTriples | int | max.numberoftriples<br>allowedineachdereferencing |\n| saveGraph | boolean | Savethegraphsdereferenced |","| Field | Length(bits) |\n| --- | --- |\n| Messagetype | 6 |\n| Priority | 3 |\n| Checksumﬂag | 1 |\n| Open-loopsafestate | 8 |\n| Sourceentitynumber | 5 |\n| Sourceunitnumber | 5 |\n| Sourceautomatonnumber | 5 |\n| Destinationentitynumber | 5 |\n| Destinationunitnumber | 5 |\n| Destinationautomatonnumber | 5 |\n| Application-speciﬁcdatalength | 16 |",0]
["| Parameter | Value | Meaning |\n| --- | --- | --- |\n| maxDerTriples | int | max.numberoftriples<br>allowedineachdereferencing |\n| saveGraph | boolean | Savethegraphsdereferenced |\n| maxSize | int | traﬃclimit(inMBs) |","| timeoutDer | long | connectiontime-out |\n| --- | --- | --- |\n| timeout | long | totaltime-out |\n| domains | List¡String¿ | trustedservers |",1]
["| Parameter | Value | Meaning |\n| --- | --- | --- |\n| maxDerTriples | int | max.numberoftriples<br>allowedineachdereferencing |\n| saveGraph | boolean | Savethegraphsdereferenced |\n| maxSize | int | traﬃclimit(inMBs) |","| Sourceentitynumber | 5 |\n| --- | --- |\n| Sourceunitnumber | 5 |\n| Sourceautomatonnumber | 5 |\n| Destinationentitynumber | 5 |\n| Destinationunitnumber | 5 |\n| Destinationautomatonnumber | 5 |\n| Application-speciﬁcdatalength | 16 |",0]
["| Event | EM | SMKO |\n| --- | --- | --- |\n| Celebration | 0.60 | 0.62 |\n| Checking | 0.20 | 0.38 |\n| Endofperiod | 0.90 | 0.98 |\n| Fight | 0.74 | 0.85 |\n| Goal | 0.38 | 0.38 |\n| Penalty | 0.54 | 0.79 |\n| Shot | 0.46 | 0.30 |\n| Save | 0.60 | 0.46 |","| Linechange | 0.68 | 0.78 |\n| --- | --- | --- |\n| Faceoﬀ | 0.78 | 0.86 |\n| Play | 0.93 | 0.95 |\n| AverageF1 | 0.62 | 0.67 |",1]
["| Event | EM | SMKO |\n| --- | --- | --- |\n| Celebration | 0.60 | 0.62 |\n| Checking | 0.20 | 0.38 |\n| Endofperiod | 0.90 | 0.98 |\n| Fight | 0.74 | 0.85 |\n| Goal | 0.38 | 0.38 |\n| Penalty | 0.54 | 0.79 |\n| Shot | 0.46 | 0.30 |\n| Save | 0.60 | 0.46 |","| Event | (A) | (B) | (C) | (D) |\n| --- | --- | --- | --- | --- |\n| Celebration | 0.0 | 0.35 | 0.26 | 0.0 |\n| Checking | 0.1 | 0.16 | 0.09 | 0.0 |\n| Endofperiod | 0.83 | 0.87 | 0.93 | 0.66 |\n| Fight | 0.48 | 0.43 | 0.83 | 0.0 |\n| Goal | 0.003 | 0.22 | 0.0 | 0.0 |\n| Penalty | 0.6 | 0.33 | 0.63 | 0.0 |\n| Shot | 0.12 | 0.07 | 0.03 | 0.0 |\n| Save | 0.23 | 0.16 | 0.14 | 0.0 |\n| Linechange | 0.64 | 0.51 | 0.74 | 0.07 |\n| Faceoﬀ | 0.73 | 0.62 | 0.79 | 0.27 |\n| Play | 0.91 | 0.85 | 0.95 | 0.81 |\n| AverageF1 | 0.42 | 0.42 | 0.49 | 0.17 |",0]
["| Event | EM | SMKO |\n| --- | --- | --- |\n| Celebration | 0.60 | 0.62 |\n| Checking | 0.20 | 0.38 |\n| Endofperiod | 0.90 | 0.98 |\n| Fight | 0.74 | 0.85 |\n| Goal | 0.38 | 0.38 |\n| Penalty | 0.54 | 0.79 |\n| Shot | 0.46 | 0.30 |\n| Save | 0.60 | 0.46 |","| Linechange | 0.68 | 0.78 |\n| --- | --- | --- |\n| Faceoﬀ | 0.78 | 0.86 |\n| Play | 0.93 | 0.95 |\n| AverageF1 | 0.62 | 0.67 |",1]
["| Event | EM | SMKO |\n| --- | --- | --- |\n| Celebration | 0.60 | 0.62 |\n| Checking | 0.20 | 0.38 |\n| Endofperiod | 0.90 | 0.98 |\n| Fight | 0.74 | 0.85 |\n| Goal | 0.38 | 0.38 |\n| Penalty | 0.54 | 0.79 |\n| Shot | 0.46 | 0.30 |\n| Save | 0.60 | 0.46 |","| Fight | 0.48 | 0.43 | 0.83 | 0.0 |\n| --- | --- | --- | --- | --- |\n| Goal | 0.003 | 0.22 | 0.0 | 0.0 |\n| Penalty | 0.6 | 0.33 | 0.63 | 0.0 |\n| Shot | 0.12 | 0.07 | 0.03 | 0.0 |\n| Save | 0.23 | 0.16 | 0.14 | 0.0 |\n| Linechange | 0.64 | 0.51 | 0.74 | 0.07 |\n| Faceoﬀ | 0.73 | 0.62 | 0.79 | 0.27 |\n| Play | 0.91 | 0.85 | 0.95 | 0.81 |\n| AverageF1 | 0.42 | 0.42 | 0.49 | 0.17 |",0]
["| MAE |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=1 | T=2 | T=3 | T=4 | T=5 | T=1 | T=2 | T=3 | T=4 |\n| 2.2182 | 1.2379 | 0.8259 | 0.9279 | 1.7818 | N/A | N/A | N/A | N/A |","| 1.6839 | 0.9444 | 0.7567 | 0.7572 | 1.3024 | 6.6439 | 5.342 | 4.9390 | 5.005 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.4162 | 0.6298 | 0.7408 | 0.5377 | 0.9408 | 7.9191 | 4.7 | 3.4505 | 4.13 |",1]
["| MAE |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=1 | T=2 | T=3 | T=4 | T=5 | T=1 | T=2 | T=3 | T=4 |\n| 2.2182 | 1.2379 | 0.8259 | 0.9279 | 1.7818 | N/A | N/A | N/A | N/A |","| n | f | f | f | f | f | f |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |\n| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |\n| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |\n| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |\n| 500 | N/A | −0.9401 | −0.9606 | −0.9606 | −0.9777 | −0.9777 |\n| 1000 | N/A | −0.9435 | −0.9630 | −0.9630 | −0.9781 | −0.9781 |",0]
["| MAE |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=1 | T=2 | T=3 | T=4 | T=5 | T=1 | T=2 | T=3 | T=4 |","| 2.2182 | 1.2379 | 0.8259 | 0.9279 | 1.7818 | N/A | N/A | N/A | N/A |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1.6839 | 0.9444 | 0.7567 | 0.7572 | 1.3024 | 6.6439 | 5.342 | 4.9390 | 5.005 |\n| 1.4162 | 0.6298 | 0.7408 | 0.5377 | 0.9408 | 7.9191 | 4.7 | 3.4505 | 4.13 |",1]
["| MAE |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T=1 | T=2 | T=3 | T=4 | T=5 | T=1 | T=2 | T=3 | T=4 |","| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |\n| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |\n| 500 | N/A | −0.9401 | −0.9606 | −0.9606 | −0.9777 | −0.9777 |\n| 1000 | N/A | −0.9435 | −0.9630 | −0.9630 | −0.9781 | −0.9781 |",0]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11.16 | 49.67 | 70.23 | 68.07 | 73.86 | 69.33 | 55.63 | 57.75 | 60.18 |\n| 91.26 | 89.58 | 82.7 | 83.0 | 83.54 | 88.89 | 84.56 | 86.31 | 84.38 |\n| 90.68 | 90.0 | 83.33 | 84.11 | 59.59 | 85.71 | 87.22 | 66.41 | 77.31 |\n| 91.3 | 91.21 | 80.0 | 83.53 | 82.28 | 79.73 | 87.32 | 82.61 | 79.69 |\n| 93.06 | 91.55 | 92.86 | 84.85 | 90.16 | 85.71 | 80.0 | 86.36 | 88.1 |","| 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 100.0 | 75.0 | 75.0 | 75.0 | 100.0 | 75.0 | 100.0 | 100.0 | 66.67 |\n| 96.3 | 96.3 | 88.46 | 92.0 | 100.0 | 94.74 | 94.74 | 100.0 | 94.74 |",1]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11.16 | 49.67 | 70.23 | 68.07 | 73.86 | 69.33 | 55.63 | 57.75 | 60.18 |\n| 91.26 | 89.58 | 82.7 | 83.0 | 83.54 | 88.89 | 84.56 | 86.31 | 84.38 |\n| 90.68 | 90.0 | 83.33 | 84.11 | 59.59 | 85.71 | 87.22 | 66.41 | 77.31 |\n| 91.3 | 91.21 | 80.0 | 83.53 | 82.28 | 79.73 | 87.32 | 82.61 | 79.69 |\n| 93.06 | 91.55 | 92.86 | 84.85 | 90.16 | 85.71 | 80.0 | 86.36 | 88.1 |","| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.57 | 89.43 | 78.11 | 91.32 | 93.96 | 98.87 | 99.25 | 98.11 | 98.08 |\n| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |\n| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |\n| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |\n| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |\n| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 |",0]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11.16 | 49.67 | 70.23 | 68.07 | 73.86 | 69.33 | 55.63 | 57.75 | 60.18 |\n| 91.26 | 89.58 | 82.7 | 83.0 | 83.54 | 88.89 | 84.56 | 86.31 | 84.38 |\n| 90.68 | 90.0 | 83.33 | 84.11 | 59.59 | 85.71 | 87.22 | 66.41 | 77.31 |","| 91.3 | 91.21 | 80.0 | 83.53 | 82.28 | 79.73 | 87.32 | 82.61 | 79.69 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 93.06 | 91.55 | 92.86 | 84.85 | 90.16 | 85.71 | 80.0 | 86.36 | 88.1 |\n| 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |\n| 100.0 | 75.0 | 75.0 | 75.0 | 100.0 | 75.0 | 100.0 | 100.0 | 66.67 |\n| 96.3 | 96.3 | 88.46 | 92.0 | 100.0 | 94.74 | 94.74 | 100.0 | 94.74 |",1]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11.16 | 49.67 | 70.23 | 68.07 | 73.86 | 69.33 | 55.63 | 57.75 | 60.18 |\n| 91.26 | 89.58 | 82.7 | 83.0 | 83.54 | 88.89 | 84.56 | 86.31 | 84.38 |\n| 90.68 | 90.0 | 83.33 | 84.11 | 59.59 | 85.71 | 87.22 | 66.41 | 77.31 |","| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |\n| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 |",0]
["| b | Levenshteindistance,lexiconofMEDLINEsentences |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 2 | 8.64 | 71.62 | 664.91 |\n| 3 | 10.72 | 145.60 | 2670.98 |\n| 4 | 13.55 | 727.22 |  |\n| 5 | 16.57 | 1357.87 |  |\n| 6 | 24.54 |  |  |\n| 7 | 27.23 |  |  |\n| 8 | 36.47 |  |  |\n| 9 | 40.68 |  |  |\n| 10 | 59.48 |  |  |\n| 11 | 62.36 |  |  |\n| 12 | 123.31 |  |  |\n| 13 | 123.84 |  |  |\n| 14 | 145.98 |  |  |\n| 15 | 146.11 |  |  |\n| 20 | 411.71 |  |  |\n| 30 | 1552.28 |  |  |","| 40 | 4872.49 |  |  |\n| --- | --- | --- | --- |\n| 50 | 23869.91 |  |  |",1]
["| b | Levenshteindistance,lexiconofMEDLINEsentences |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 2 | 8.64 | 71.62 | 664.91 |\n| 3 | 10.72 | 145.60 | 2670.98 |\n| 4 | 13.55 | 727.22 |  |\n| 5 | 16.57 | 1357.87 |  |\n| 6 | 24.54 |  |  |\n| 7 | 27.23 |  |  |\n| 8 | 36.47 |  |  |\n| 9 | 40.68 |  |  |\n| 10 | 59.48 |  |  |\n| 11 | 62.36 |  |  |\n| 12 | 123.31 |  |  |\n| 13 | 123.84 |  |  |\n| 14 | 145.98 |  |  |\n| 15 | 146.11 |  |  |\n| 20 | 411.71 |  |  |\n| 30 | 1552.28 |  |  |","| ℵ | ℵ0 | ℵ1 | ℵ2 | ℵ3 | ℵ4 | ℵ5 | ℵ6 | ℵ7 | ℵ8 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | 82 | 116 | 164 | 232 | 328 | 463 | 655 | 927 | 1310 |\n| JavaSHA1PRNG |  |  |  |  |  |  |  |  |  |\n| 0.9 | 20 | 16 | 20 | 20 | 16 | 14 | 17 | 11 | 11 |\n| −0.9 | 18 | 20 | 18 | 17 | 14 | 11 | 12 | 11 | 9 |\n| 0.95 | 14 | 12 | 13 | 18 | 12 | 10 | 15 | 7 | 8 |\n| −0.95 | 13 | 13 | 14 | 9 | 10 | 7 | 9 | 8 | 6 |\n| NISTSP80090ASHA1-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 15 | 16 | 15 | 12 | 8 | 9 | 17 | 10 | 8 |\n| −0.9 | 15 | 19 | 12 | 18 | 10 | 16 | 14 | 9 | ‘2 |\n| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |\n| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |\n| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",0]
["| b | Levenshteindistance,lexiconofMEDLINEsentences |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 2 | 8.64 | 71.62 | 664.91 |\n| 3 | 10.72 | 145.60 | 2670.98 |\n| 4 | 13.55 | 727.22 |  |","| 5 | 16.57 | 1357.87 |  |\n| --- | --- | --- | --- |\n| 6 | 24.54 |  |  |\n| 7 | 27.23 |  |  |\n| 8 | 36.47 |  |  |\n| 9 | 40.68 |  |  |\n| 10 | 59.48 |  |  |\n| 11 | 62.36 |  |  |\n| 12 | 123.31 |  |  |\n| 13 | 123.84 |  |  |\n| 14 | 145.98 |  |  |\n| 15 | 146.11 |  |  |\n| 20 | 411.71 |  |  |\n| 30 | 1552.28 |  |  |\n| 40 | 4872.49 |  |  |\n| 50 | 23869.91 |  |  |",1]
["| b | Levenshteindistance,lexiconofMEDLINEsentences |  |  |\n| --- | --- | --- | --- |\n|  |  |  |  |\n| 2 | 8.64 | 71.62 | 664.91 |\n| 3 | 10.72 | 145.60 | 2670.98 |\n| 4 | 13.55 | 727.22 |  |","| 0.95 | 10 | 9 | 12 | 10 | 5 | 5 | 11 | 6 | 6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| −0.95 | 11 | 12 | 8 | 13 | 8 | 10 | 10 | 7 | 12 |\n| NISTSP80090ASHA256-DRBGatsamplesize1000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 13 | 16 | 14 | 20 | 13 | 15 | 21 | 16 | 9 |\n| −0.9 | 16 | 13 | 14 | 5 | 13 | 9 | 11 | 13 | 10 |\n| 0.95 | 9 | 10 | 12 | 15 | 9 | 10 | 16 | 14 | 3 |\n| −0.95 | 13 | 9 | 8 | 4 | 8 | 6 | 9 | 12 | 9 |\n| NISTSP80090ASHA256-DRBGatsamplesize10000 |  |  |  |  |  |  |  |  |  |\n| 0.9 | 164 | 157 | 162 | 145 | 128 | 128 | 133 | 121 | 114 |\n| −0.9 | 154 | 142 | 142 | 130 | 123 | 128 | 123 | 120 | 107 |\n| 0.95 | 120 | 107 | 127 | 110 | 89 | 93 | 93 | 84 | 70 |\n| −0.95 | 107 | 106 | 92 | 99 | 91 | 93 | 95 | 84 | 78 |",0]
["| Step | Description | Time | Messages |\n| --- | --- | --- | --- |\n| ??,?? | BFSconvergecast | O(D) | O(m) |\n| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |\n| ??,?? | Localcomputation | 0 | none |\n| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |","| ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |\n| --- | --- | --- | --- |\n| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) |",1]
["| Step | Description | Time | Messages |\n| --- | --- | --- | --- |\n| ??,?? | BFSconvergecast | O(D) | O(m) |\n| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |\n| ??,?? | Localcomputation | 0 | none |\n| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |","| MessageSize | iSense<br>TxRx | TelosB<br>TxRx |  |  |\n| --- | --- | --- | --- | --- |\n| 149bytes | 0.5mJ | 0.6mJ | 0.3mJ | 0.32mJ |\n| 85bytes | 0.32mJ | 0.36mJ | 0.17mJ | 0.18mJ |\n| 43bytes | 0.16mJ | 0.18mJ | 0.08mJ | 0.09mJ |\n| 22bytes | 0.08mJ | 0.09mJ | 0.045mJ | 0.048mJ |\n| 2bytes | 0.007mJ | 0.008mJ | 0.004mJ | 0.004mJ |\n| 1byte | 0.003mJ | 0.004mJ | 0.002mJ | 0.002mJ |",0]
["| Step | Description | Time | Messages |\n| --- | --- | --- | --- |\n| ??,?? | BFSconvergecast | O(D) | O(m) |\n| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |","| ??,?? | Localcomputation | 0 | none |\n| --- | --- | --- | --- |\n| ?? | BFSdowncastoffmessages(eachofsizelogn) | O(D+f·logn) | O(f·logn·D) |\n| ?? | BroadcastineachoftheMSTfragments | O(k+logn) | O(n·logn) |\n| ?? | Communicationbetweenneighbors | O(logn) | O(logn·m) |",1]
["| Step | Description | Time | Messages |\n| --- | --- | --- | --- |\n| ??,?? | BFSconvergecast | O(D) | O(m) |\n| ??,?? | BFSupcastoffmessages | O(D+f) | O(f·D) |","| 2bytes | 0.007mJ | 0.008mJ | 0.004mJ | 0.004mJ |\n| --- | --- | --- | --- | --- |\n| 1byte | 0.003mJ | 0.004mJ | 0.002mJ | 0.002mJ |",0]
["| Pid | Workshop | Block | Company | Country | Anchor | EstProd |\n| --- | --- | --- | --- | --- | --- | --- |\n| P130 | N | G | G | Ukraine | high | 100.0 |\n| P334 | Y | I3 | I | Poland | high | 20.0 |","| P318 | Y | I3 | I | Poland | low | 1.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P250 | N | K | K | Vietnam | low | 15.0 |\n| P10 | N | A | A | Romania | high | 80.0 |",1]
["| Pid | Workshop | Block | Company | Country | Anchor | EstProd |\n| --- | --- | --- | --- | --- | --- | --- |\n| P130 | N | G | G | Ukraine | high | 100.0 |\n| P334 | Y | I3 | I | Poland | high | 20.0 |","| Code | Region | Numberofpatents |\n| --- | --- | --- |\n| WO | WorldIntellectualPropertyOrganization | 292 |\n| EP | EuropeanPatentOﬃce | 163 |\n| KR | RepublicofKorea | 51 |\n| RU | RussianFederation | 5 |\n| ZA | SouthAfrica | 3 |\n| IL | Israel | 3 |\n| ES | Spain | 3 |\n| SG | Singapore | 2 |\n| MX | Mexico | 1 |",0]
["| Pid | Workshop | Block | Company | Country | Anchor | EstProd |\n| --- | --- | --- | --- | --- | --- | --- |\n| P130 | N | G | G | Ukraine | high | 100.0 |\n| P334 | Y | I3 | I | Poland | high | 20.0 |\n| P318 | Y | I3 | I | Poland | low | 1.5 |","| P250 | N | K | K | Vietnam | low | 15.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P10 | N | A | A | Romania | high | 80.0 |",1]
["| Pid | Workshop | Block | Company | Country | Anchor | EstProd |\n| --- | --- | --- | --- | --- | --- | --- |\n| P130 | N | G | G | Ukraine | high | 100.0 |\n| P334 | Y | I3 | I | Poland | high | 20.0 |\n| P318 | Y | I3 | I | Poland | low | 1.5 |","| ZA | SouthAfrica | 3 |\n| --- | --- | --- |\n| IL | Israel | 3 |\n| ES | Spain | 3 |\n| SG | Singapore | 2 |\n| MX | Mexico | 1 |",0]
["| mean |\n| --- |\n| percentageofthetailentries |","| percentageofthetailentries |\n| --- |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| mean |\n| mean |\n| mean |\n| mean |",1]
["| mean |\n| --- |\n| percentageofthetailentries |","| Size(s) | True | False | Mis-<br>classiﬁed | Percentage |\n| --- | --- | --- | --- | --- |\n| 10 | 24 | 10 | 4 | 0.05 |\n| 25 | 26 | 10 | 4 | 0.34 |\n| 50 | 25 | 9 | 5 | 1.28 |\n| 75 | 27 | 3 | 1 | 2.5 |\n| 100 | 16 | 7 | 5 | 3.47 |\n| 200 | 4 | 4 | 5 | 4.82 |",0]
["| mean |\n| --- |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| mean |\n| mean |","| mean |\n| --- |\n| mean |",1]
["| mean |\n| --- |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| percentageofthetailentries |\n| mean |\n| mean |","| 75 | 27 | 3 | 1 | 2.5 |\n| --- | --- | --- | --- | --- |\n| 100 | 16 | 7 | 5 | 3.47 |\n| 200 | 4 | 4 | 5 | 4.82 |",0]
["| Parameters | Value |\n| --- | --- |\n| Inputdescriptionlength | 50words |\n| Outputsummarylength | 15words |","| OptimizationMethod | StochasticGradientDescent<br>withmomentum |\n| --- | --- |\n| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |\n| Batchsize | 128 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",1]
["| Parameters | Value |\n| --- | --- |\n| Inputdescriptionlength | 50words |\n| Outputsummarylength | 15words |","| Parameters | Value |\n| --- | --- |\n| Maximumsentencelength | 15words |\n| OptimizationMethod | Adam |\n| Learningrate | 0.01 |\n| Batchsize | 256 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| Parameters | Value |\n| --- | --- |\n| Inputdescriptionlength | 50words |\n| Outputsummarylength | 15words |","| OptimizationMethod | StochasticGradientDescent<br>withmomentum |\n| --- | --- |\n| Learningrate | 0.1;reducedtohalfafter<br>everythirdepoch. |\n| Batchsize | 128 |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",1]
["| Parameters | Value |\n| --- | --- |\n| Inputdescriptionlength | 50words |\n| Outputsummarylength | 15words |","| Batchsize | 256 |\n| --- | --- |\n| LSTMParameters | Uniformdistributionfrom[-0.1,0.1] |",0]
["| radius | µ | σ | minl | Range | z-Score |\n| --- | --- | --- | --- | --- | --- |\n| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 |  |\n| 10 | 37.254 | 0.477 | 2574.705 | 24581.497 |  |\n| 15 | 37.085 | 0.493 | 2545.955 | 21959.001 |  |\n| 20 | 37.017 | 0.492 | 2545.129 | 24777.046 |  |","| 25 | 37.024 | 0.556 | 2522.305 | 20564.370 |\n| --- | --- | --- | --- | --- |\n| 30 | 36.936 | 0.539 | 2491.717 | 17301.842 |\n| 35 | 36.746 | 0.565 | 2519.519 | 21479.896 |\n| 40 | 36.742 | 0.524 | 2500.805 | 17917.123 |\n| 45 | 36.420 | 0.304 | 2503.719 | 18128.987 |\n| 50 | 36.399 | 0.271 | 2502.738 | 21373.696 |",1]
["| radius | µ | σ | minl | Range | z-Score |\n| --- | --- | --- | --- | --- | --- |\n| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 |  |\n| 10 | 37.254 | 0.477 | 2574.705 | 24581.497 |  |\n| 15 | 37.085 | 0.493 | 2545.955 | 21959.001 |  |\n| 20 | 37.017 | 0.492 | 2545.129 | 24777.046 |  |","| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| radius | µ | σ | minl | Range | z-Score |\n| --- | --- | --- | --- | --- | --- |\n| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 |  |","| 10 | 37.254 | 0.477 | 2574.705 | 24581.497 |\n| --- | --- | --- | --- | --- |\n| 15 | 37.085 | 0.493 | 2545.955 | 21959.001 |\n| 20 | 37.017 | 0.492 | 2545.129 | 24777.046 |\n| 25 | 37.024 | 0.556 | 2522.305 | 20564.370 |\n| 30 | 36.936 | 0.539 | 2491.717 | 17301.842 |\n| 35 | 36.746 | 0.565 | 2519.519 | 21479.896 |\n| 40 | 36.742 | 0.524 | 2500.805 | 17917.123 |\n| 45 | 36.420 | 0.304 | 2503.719 | 18128.987 |\n| 50 | 36.399 | 0.271 | 2502.738 | 21373.696 |",1]
["| radius | µ | σ | minl | Range | z-Score |\n| --- | --- | --- | --- | --- | --- |\n| 05 | 37.160 | 0.381 | 2627.754 | 23579.899 |  |","| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| --- | --- | --- | --- | --- | --- |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |\n| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",0]
["| statement<br>graphsH | type(H) | C(H),v=s(H) |\n| --- | --- | --- |\n| trivial | 1 |  |\n| sequence | 2 | 2\\|\\|C(N(v)) |\n| if-then | 3 | 3\\|\\|C(N(v))\\N(v))\\|\\|C(N(v)) |\n| while | 4 | 4\\|\\|C(N(v)∩N(v))\\|\\|C(N(v)\\N(v)) |","| repeat | 5 | 5\\|\\|C(N(v))\\|\\|C(N(v)\\{v}) |\n| --- | --- | --- |\n| if-then-else | 6 | 6\\|\\|lex(C(N(v)))\\|\\|C(N(v)) |\n| p-case | p+4 | p+4\\|\\|lex(C(N(v)))\\|\\|C(N(v)) |",1]
["| statement<br>graphsH | type(H) | C(H),v=s(H) |\n| --- | --- | --- |\n| trivial | 1 |  |\n| sequence | 2 | 2\\|\\|C(N(v)) |\n| if-then | 3 | 3\\|\\|C(N(v))\\N(v))\\|\\|C(N(v)) |\n| while | 4 | 4\\|\\|C(N(v)∩N(v))\\|\\|C(N(v)\\N(v)) |","| Graphclass | Lowerbound | Complexity | Approximability | References |\n| --- | --- | --- | --- | --- |\n| Allgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Chordal | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Splitgraphs | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Co-bipartite | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| statement<br>graphsH | type(H) | C(H),v=s(H) |\n| --- | --- | --- |\n| trivial | 1 |  |\n| sequence | 2 | 2\\|\\|C(N(v)) |\n| if-then | 3 | 3\\|\\|C(N(v))\\N(v))\\|\\|C(N(v)) |\n| while | 4 | 4\\|\\|C(N(v)∩N(v))\\|\\|C(N(v)\\N(v)) |","| repeat | 5 | 5\\|\\|C(N(v))\\|\\|C(N(v)\\{v}) |\n| --- | --- | --- |\n| if-then-else | 6 | 6\\|\\|lex(C(N(v)))\\|\\|C(N(v)) |\n| p-case | p+4 | p+4\\|\\|lex(C(N(v)))\\|\\|C(N(v)) |",1]
["| statement<br>graphsH | type(H) | C(H),v=s(H) |\n| --- | --- | --- |\n| trivial | 1 |  |\n| sequence | 2 | 2\\|\\|C(N(v)) |\n| if-then | 3 | 3\\|\\|C(N(v))\\N(v))\\|\\|C(N(v)) |\n| while | 4 | 4\\|\\|C(N(v)∩N(v))\\|\\|C(N(v)\\N(v)) |","| Claw-free | Θ(log(n)) | NP-c | log-APX-hard |  |\n| --- | --- | --- | --- | --- |\n| Interval | Θ(n) | NP-c | open |  |\n| Unitinterval | Θ(n) | open | PTAS |  |\n| Permutation | Θ(n) | NP-c | open |  |\n| Linegraphs | Θ(n) | NP-c | APX(4) |  |\n| Planar | Θ(n) | NP-c | APX(7) |  |",0]
["| Classiﬁer | AreaUnderPrecision-RecallCurve |  |\n| --- | --- | --- |\n| Class<30 | Class<30+Class>30 |  |\n| NaiveBayes | 0.214 | 0.63 |","| BayesNetwork | 0.208 | 0.637 |\n| --- | --- | --- |\n| RandomForest | 0.242 | 0.65 |\n| AdaboostTrees | 0.167 | 0.569 |\n| NeuralNetworks | 0.233 | 0.654 |",1]
["| Classiﬁer | AreaUnderPrecision-RecallCurve |  |\n| --- | --- | --- |\n| Class<30 | Class<30+Class>30 |  |\n| NaiveBayes | 0.214 | 0.63 |","| Classiﬁer | AreaunderROC | Accuracy |\n| --- | --- | --- |\n| AdaBoost | .9961 | 99.53 |\n| Bayesian | .9078 | 92.08 |\n| DecisionTree | .9877 | 99.22 |\n| LogitBoost | .9986 | 99.22 |\n| WeightedVoting | .9783 | 93.17 |\n| Baseline | .8544 | 89.72 |",0]
["| Classiﬁer | AreaUnderPrecision-RecallCurve |\n| --- | --- |\n| Class<30 | Class<30+Class>30 |","| NaiveBayes | 0.214 | 0.63 |\n| --- | --- | --- |\n| BayesNetwork | 0.208 | 0.637 |\n| RandomForest | 0.242 | 0.65 |\n| AdaboostTrees | 0.167 | 0.569 |\n| NeuralNetworks | 0.233 | 0.654 |",1]
["| Classiﬁer | AreaUnderPrecision-RecallCurve |\n| --- | --- |\n| Class<30 | Class<30+Class>30 |","| WeightedVoting | .9783 | 93.17 |\n| --- | --- | --- |\n| Baseline | .8544 | 89.72 |",0]
["| GOPSize | Codingstructure |\n| --- | --- |\n| 1 | IPPPPPPPPPPPPPPPPP... |\n| 2 | IBPBPBPBPBPBPBPBPB... |","| 4 | IBBBPBBBPBBBPBBBPB... |\n| --- | --- |\n| 8 | IBBBBBBBPBBBBBBBPB... |\n| 16 | IBBBBBBBBBBBBBBBPB... |",1]
["| GOPSize | Codingstructure |\n| --- | --- |\n| 1 | IPPPPPPPPPPPPPPPPP... |\n| 2 | IBPBPBPBPBPBPBPBPB... |","| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |\n| --- | --- | --- | --- | --- |\n| 14.19 | 13.26 | 13.13 | 13.84 | 14.90 |\n| 16.57 | 17.12 | 16.94 | 17.08 | 17.38 |\n| 21.97 | 22.76 | 23.91 | 25.89 | 27.53 |\n| 30.93 | 32.50 | 33.59 | 35.36 | 35.59 |\n| 15.06 | 15.43 | 15.64 | 16.07 | 16.78 |\n| 63.48 | 66.97 | 68.83 | 73.45 | 74.66 |\n| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |\n| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",0]
["| GOPSize | Codingstructure |\n| --- | --- |\n| 1 | IPPPPPPPPPPPPPPPPP... |\n| 2 | IBPBPBPBPBPBPBPBPB... |","| 4 | IBBBPBBBPBBBPBBBPB... |\n| --- | --- |\n| 8 | IBBBBBBBPBBBBBBBPB... |\n| 16 | IBBBBBBBBBBBBBBBPB... |",1]
["| GOPSize | Codingstructure |\n| --- | --- |\n| 1 | IPPPPPPPPPPPPPPPPP... |\n| 2 | IBPBPBPBPBPBPBPBPB... |","| 56.67 | 71.41 | 76.50 | 80.40 | 82.73 |\n| --- | --- | --- | --- | --- |\n| 59.09 | 61.17 | 68.15 | 69.22 | 70.74 |\n| 71.86 | 75.12 | 80.33 | 81.70 | 83.16 |",0]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |\n| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |\n| 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 |","| 0.11 | 0.3991 | 0.4674 | 0.5140 | 0.5710 |\n| --- | --- | --- | --- | --- |\n| 0.13 | 0.4304 | 0.5246 | 0.5494 | 0.6091 |\n| 0.15 | 0.4551 | 0.5500 | 0.5731 | 0.6388 |",1]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |\n| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |\n| 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 |","| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.2168 | 0.197 | 0.2051 | 0.1597 |\n| 0.07 | 0.5094 | 0.5067 | 0.2983 | 0.2811 |\n| 0.09 | 0.7728 | 0.7439 | 0.3306 | 0.3819 |\n| 0.11 | 0.8720 | 0.8463 | 0.3878 | 0.4785 |\n| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |\n| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 |",0]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |\n| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |","| 0.09 | 0.3723 | 0.4121 | 0.4761 | 0.5047 |\n| --- | --- | --- | --- | --- |\n| 0.11 | 0.3991 | 0.4674 | 0.5140 | 0.5710 |\n| 0.13 | 0.4304 | 0.5246 | 0.5494 | 0.6091 |\n| 0.15 | 0.4551 | 0.5500 | 0.5731 | 0.6388 |",1]
["| zω<br>value | LCHF-D | LCHF-RGBD | IHF-ﬁxedsize(fs)<br>(InitReg) | IHF-ﬁxedsize(fs)<br>(InitReg+Ref) |\n| --- | --- | --- | --- | --- |\n|  |  |  |  |  |\n| 0.05 | 0.1003 | 0.0736 | 0.2071 | 0.1538 |\n| 0.07 | 0.2696 | 0.2240 | 0.3954 | 0.3878 |","| 0.11 | 0.8720 | 0.8463 | 0.3878 | 0.4785 |\n| --- | --- | --- | --- | --- |\n| 0.13 | 0.8825 | 0.8670 | 0.4437 | 0.5436 |\n| 0.15 | 0.9033 | 0.8723 | 0.4713 | 0.5692 |",0]
["| GroupName | Conﬁguration | OutputSize |\n| --- | --- | --- |\n| conv1 | conv,16channels | 32×32 |\n| conv2 | block(d×16,k)×n | 32×32 |\n| conv3(↓) | block(d×32,k)×n | 16×16 |\n| conv4(↓) | block(d×64,k)×n | 8×8 |","| gap | globalaveragepooling | 1×1 |\n| --- | --- | --- |\n| fc | 10or100-waysoftmax |  |",1]
["| GroupName | Conﬁguration | OutputSize |\n| --- | --- | --- |\n| conv1 | conv,16channels | 32×32 |\n| conv2 | block(d×16,k)×n | 32×32 |\n| conv3(↓) | block(d×32,k)×n | 16×16 |\n| conv4(↓) | block(d×64,k)×n | 8×8 |","| Name | Kernel | OutputSize | Name | Kernel | OutputSize |\n| --- | --- | --- | --- | --- | --- |\n| conv1,2 | 3×3 | 320×448×64 | deconv5 | 2×2 | 40×56×256 |\n| pool1 | 2×2 | 160×224×64 | reﬁne-1convs | 3×3 | 40×56×256 |\n| conv3,4 | 3×3 | 160×224×128 | deconv4 | 2×2 | 80×112×128 |\n| pool2 | 2×2 | 80×112×128 | reﬁne-2convs | 3×3 | 80×112×128 |\n| conv5,6,1-2 | 3×3 | 80×112×256 | deconv3 | 2×2 | 160×224×64 |\n| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |\n| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",0]
["| GroupName | Conﬁguration | OutputSize |\n| --- | --- | --- |\n| conv1 | conv,16channels | 32×32 |","| conv2 | block(d×16,k)×n | 32×32 |\n| --- | --- | --- |\n| conv3(↓) | block(d×32,k)×n | 16×16 |\n| conv4(↓) | block(d×64,k)×n | 8×8 |\n| gap | globalaveragepooling | 1×1 |\n| fc | 10or100-waysoftmax |  |",1]
["| GroupName | Conﬁguration | OutputSize |\n| --- | --- | --- |\n| conv1 | conv,16channels | 32×32 |","| pool3 | 2×2 | 40×56×256 | reﬁne-3convs | 3×3 | 160×224×64 |\n| --- | --- | --- | --- | --- | --- |\n| conv7,8,1-2 | 3×3 | 40×56×512 | deconv2 | 2×2 | 320×448×32 |\n| pool4 | 2×2 | 20×28×512 | reﬁne-4convs | 3×3 | 320×448×32 |",0]
["| FDTB(French) |  |  |\n| --- | --- | --- |\n| DC | Entropy | Frequency |\n| eﬀectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |\n| AverageEntropy | 0.39 |  |","| PDTB(English) |  |  |\n| --- | --- | --- |\n| DC | Entropy | Frequency |\n| incontrast<br>asaresult<br>besides<br>...<br>ontheotherhand<br>particularly<br>upon | 1.00<br>1.00<br>1.00<br>...<br>0.00<br>0.00<br>0.00 | 22<br>135<br>32<br>...<br>28<br>130<br>41 |\n| AverageEntropy | 0.51 |  |",1]
["| FDTB(French) |  |  |\n| --- | --- | --- |\n| DC | Entropy | Frequency |\n| eﬀectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |\n| AverageEntropy | 0.39 |  |","| GridSize | SampleCoeﬃcient | Accuracy | timeAVR(secs) | timeSD(secs) |\n| --- | --- | --- | --- | --- |\n| 11<br>11<br>11<br>11 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.89<br>1.00 | 0.50<br>4.99<br>49.85<br>497.92 | 0.00<br>0.01<br>0.22<br>1.18 |\n| 12<br>12<br>12<br>12 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.72<br>1.00 | 0.65<br>6.49<br>64.72<br>647.08 | 0.06<br>0.24<br>2.14<br>20.84 |\n| 13<br>13<br>13<br>13 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.41<br>1.00 | 0.82<br>7.92<br>80.08<br>798.90 | 0.15<br>0.28<br>7.90<br>70.81 |\n| 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |\n| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 |",0]
["| FDTB(French) |  |  |\n| --- | --- | --- |\n| DC | Entropy | Frequency |\n| eﬀectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |\n| AverageEntropy | 0.39 |  |","| PDTB(English) |  |  |\n| --- | --- | --- |\n| DC | Entropy | Frequency |\n| incontrast<br>asaresult<br>besides<br>...<br>ontheotherhand<br>particularly<br>upon | 1.00<br>1.00<br>1.00<br>...<br>0.00<br>0.00<br>0.00 | 22<br>135<br>32<br>...<br>28<br>130<br>41 |\n| AverageEntropy | 0.51 |  |",1]
["| FDTB(French) |  |  |\n| --- | --- | --- |\n| DC | Entropy | Frequency |\n| eﬀectivement<br>sinon<br>alors<br>...<br>toutefois<br>`a<br>`apropos | 1.00<br>1.00<br>0.99<br>...<br>0.00<br>0.00<br>0.00 | 27<br>27<br>183<br>...<br>135<br>9880<br>35 |\n| AverageEntropy | 0.39 |  |","| 14<br>14<br>14<br>14 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.15<br>1.00 | 0.96<br>9.56<br>94.81<br>945.17 | 0.16<br>1.59<br>7.17<br>49.22 |\n| --- | --- | --- | --- | --- |\n| 15<br>15<br>15<br>15 | 100<br>1000<br>10000<br>100000 | 0.00<br>0.00<br>0.01<br>1.00 | 1.15<br>11.48<br>114.62<br>1145.78 | 0.05<br>0.22<br>2.17<br>21.49 |",0]
["| Area(I) | Area(II) | Area(III) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| 0.855 | 0.671 | - | - | - | - | - |","| 0.839 | 0.651 | - | - | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |\n| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - |\n| 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |\n| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 |",1]
["| Area(I) | Area(II) | Area(III) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| 0.855 | 0.671 | - | - | - | - | - |","|  | HR | s=3 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LR-3 | Non-Joint-3 | Joint-3 | Joint-OA | LR-4 | Non-Joint-4 | Joint-4 |  |  |\n| RMSE | 0.146 | 0.142 | 0.121 | 0.132 | 0.129 | 0.155 | 0.123 | 0.127 |\n| CC | 0.430 | 0.392 | 0.363 | 0.396 | 0.399 | 0.381 | 0.354 | 0.380 |\n| CCC | 0.325 | 0.302 | 0.293 | 0.323 | 0.328 | 0.283 | 0.281 | 0.319 |\n|  | HR | s=6 |  |  |  |  |  |  |\n| LR-6 | Non-Joint-6 | Joint-6 | Joint-OA | LR-8 | Non-Joint-8 | Joint-8 |  |  |\n| RMSE | 0.146 | 0.149 | 0.128 | 0.127 | 0.134 | 0.161 | 0.129 | 0.134 |\n| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |\n| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |\n|  | HR | s=12 |  |  |  |  |  |  |\n| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 |  |  |\n| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |\n| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |\n| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 |",0]
["| Area(I) | Area(II) | Area(III) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| 0.855 | 0.671 | - | - | - | - | - |\n| 0.839 | 0.651 | - | - | - | - | - |\n| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |\n| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - |","| 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 |",1]
["| Area(I) | Area(II) | Area(III) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| 0.855 | 0.671 | - | - | - | - | - |\n| 0.839 | 0.651 | - | - | - | - | - |\n| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |\n| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - |","| CC | 0.430 | 0.300 | 0.344 | 0.325 | 0.375 | 0.323 | 0.317 | 0.320 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| CCC | 0.325 | 0.263 | 0.280 | 0.274 | 0.309 | 0.238 | 0.265 | 0.266 |\n|  | HR | s=12 |  |  |  |  |  |  |\n| LR-12 | Non-Joint-12 | Joint-12 | Joint-OA | LR-16 | Non-Joint-16 | Joint-16 |  |  |\n| RMSE | 0.146 | 0.143 | 0.126 | 0.125 | 0.132 | 0.137 | 0.124 | 0.137 |\n| CC | 0.430 | 0.291 | 0.287 | 0.246 | 0.308 | 0.316 | 0.244 | 0.219 |\n| CCC | 0.325 | 0.224 | 0.235 | 0.204 | 0.223 | 0.212 | 0.191 | 0.192 |",0]
["| Cat | Method | Feature | Metric |\n| --- | --- | --- | --- |\n|  |  |  |  |","| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |\n| --- | --- | --- | --- | --- | --- |\n| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",1]
["| Cat | Method | Feature | Metric |\n| --- | --- | --- | --- |\n|  |  |  |  |","|  | CUHK01<br>VIPeRPRID<br>(N=871/485)t |\n| --- | --- |\n| SCSP<br>LSSCDL<br>TMA<br>(cid:96)1GL<br>SiameseLSTM | 53.5--<br>42.6--<br>43.8--<br>41.530.1-/50.1<br>42.4-- |\n| MetricEnsemble<br>DNS | 45.9--<br>51.140.9-/69.0 |\n| IDLA<br>DGD<br>MCP-CNN<br>GatedS-CNN<br>EDM<br>JointLearning<br>CAN | 34.8-65.0/47.5<br>38.664.0*-/66.6<br>47.822.0-/53.7<br>37.8--<br>40.9-86.6/-<br>35.8-72.5/-<br>--81.0/- |\n| Ours | 56.343.693.2/77.0 |",0]
["| Cat | Method | Feature | Metric |\n| --- | --- | --- | --- |\n|  |  |  |  |","| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |\n| --- | --- | --- | --- | --- | --- |\n| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",1]
["| Cat | Method | Feature | Metric |\n| --- | --- | --- | --- |\n|  |  |  |  |","| IDLA<br>DGD<br>MCP-CNN<br>GatedS-CNN<br>EDM<br>JointLearning<br>CAN | 34.8-65.0/47.5<br>38.664.0*-/66.6<br>47.822.0-/53.7<br>37.8--<br>40.9-86.6/-<br>35.8-72.5/-<br>--81.0/- |\n| --- | --- |\n| Ours | 56.343.693.2/77.0 |",0]
["| PBSMT |  |  |\n| --- | --- | --- |\n| BLEU | RIBES | BLEU |","| 22.88 | 64.07 | 32.68 |\n| --- | --- | --- |\n| 29.51 | 77.20 | 28.91 |\n| 29.16 | 76.39 | 29.01 |",1]
["| PBSMT |  |  |\n| --- | --- | --- |\n| BLEU | RIBES | BLEU |","| FuncB | AvgRegret.π=0.65 | AvgRegret.π=0.75 | AvgRegretπ=0.85 |\n| --- | --- | --- | --- |\n| TS-SPL | 47.1 | 17.8 | 8.5 |\n| TS-SPL-INF | 53.8(22.9) | 39.5(8.5) | 35.1(4.1) |\n| PBS-M | 41.1(10.2) | 35.3(4.31) | 33.3(2.3) |\n| SGBS-M | 50.6(19.7) | 35.7(4.7) | 33.0(2.0) |\n| BZ-M | 60.3(29.4) | 39.6(8.7) | 33.6(2.6) |\n| SA | 175.1 | 204.5 | 223.3 |\n| ASS | 81.6(50.6) | 39.5(8.7) | 40.2(9.0) |\n| HSSL | 85.3(54.4) | 50.6(19.6) | 39.0(8.0) |\n| SHSSL | 75.4 | 30.8 | 12.7 |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",0]
["| PBSMT |  |  |\n| --- | --- | --- |\n| BLEU | RIBES | BLEU |\n| 22.88 | 64.07 | 32.68 |","| 29.51 | 77.20 | 28.91 |\n| --- | --- | --- |\n| 29.16 | 76.39 | 29.01 |",1]
["| PBSMT |  |  |\n| --- | --- | --- |\n| BLEU | RIBES | BLEU |\n| 22.88 | 64.07 | 32.68 |","| SHSSL | 75.4 | 30.8 | 12.7 |\n| --- | --- | --- | --- |\n| CPL-AdS | 117.9(109.3) | 116.7(107.1) | 144.9(96.5) |",0]
["| Freq | POSTag |\n| --- | --- |\n| 107,133 | NNEN |\n| 97,681 | RBEN |","| 92,117 | NNPEN |\n| --- | --- |\n| 45,088 | JJEN |\n| 27,442 | INEN |\n| 20,158 | VBEN |",1]
["| Freq | POSTag |\n| --- | --- |\n| 107,133 | NNEN |\n| 97,681 | RBEN |","| Dice-coeﬃcient | NameOne | NameTwo |\n| --- | --- | --- |\n| 0.7385 | baiden-amissah | tuzzolino |\n| 0.7429 | castrechini | prawirohardjo |\n| 0.7500 | eykhof | sliz |\n| 0.7429 | keays | goeby |\n| 0.7586 | lera | pagni |\n| 0.7391 | tempalar | sedcole |",0]
["| Freq | POSTag |\n| --- | --- |\n| 107,133 | NNEN |\n| 97,681 | RBEN |","| 92,117 | NNPEN |\n| --- | --- |\n| 45,088 | JJEN |\n| 27,442 | INEN |\n| 20,158 | VBEN |",1]
["| Freq | POSTag |\n| --- | --- |\n| 107,133 | NNEN |\n| 97,681 | RBEN |","| 0.7586 | lera | pagni |\n| --- | --- | --- |\n| 0.7391 | tempalar | sedcole |",0]
["| Languagemodel | PPL |\n| --- | --- |\n| RNN:2layers+wordinput(baseline) | 59.8 |\n| LSTM:wordinputinforwarddirection | 54.4 |\n| LSTM:wordinputinbackwarddirection | 53.4 |","| LSTM:lettertrigraminputinforwarddirection | 52.1 |\n| --- | --- |\n| LSTM:lettertrigraminputinbackwarddirection | 52.0 |",1]
["| Languagemodel | PPL |\n| --- | --- |\n| RNN:2layers+wordinput(baseline) | 59.8 |\n| LSTM:wordinputinforwarddirection | 54.4 |\n| LSTM:wordinputinbackwarddirection | 53.4 |","| Languagemodel | PPL |\n| --- | --- |\n| lettertrigraminputwithonelayer(baseline) | 63.2 |\n| +twohiddenlayers | 61.8 |\n| +threehiddenlayers | 59.1 |\n| +fourhiddenlayers | 59.6 |\n| +ﬁvehiddenlayers | 60.2 |\n| +sixhiddenlayers | 63.7 |",0]
["| Languagemodel | PPL |\n| --- | --- |\n| RNN:2layers+wordinput(baseline) | 59.8 |\n| LSTM:wordinputinforwarddirection | 54.4 |","| LSTM:wordinputinbackwarddirection | 53.4 |\n| --- | --- |\n| LSTM:lettertrigraminputinforwarddirection | 52.1 |\n| LSTM:lettertrigraminputinbackwarddirection | 52.0 |",1]
["| Languagemodel | PPL |\n| --- | --- |\n| RNN:2layers+wordinput(baseline) | 59.8 |\n| LSTM:wordinputinforwarddirection | 54.4 |","| +fourhiddenlayers | 59.6 |\n| --- | --- |\n| +ﬁvehiddenlayers | 60.2 |\n| +sixhiddenlayers | 63.7 |",0]
["| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing |  |  |\n| --- | --- | --- | --- | --- |\n| Recall | Precision | Recall | Precision | Recall |","| 79 | 0.671 | 0.646 | 0.658 | 0.894 | 0.822 |\n| --- | --- | --- | --- | --- | --- |\n| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |\n| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |\n| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 |",1]
["| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing |  |  |\n| --- | --- | --- | --- | --- |\n| Recall | Precision | Recall | Precision | Recall |","|  |  | Precision | Recall | F1 |\n| --- | --- | --- | --- | --- |\n| Partial | GS+noEP | 79.40 | 79.96 | 79.68 |\n| GS+EP | 65.93 | 79.96 | 72.27 |  |\n| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |\n| GS+EP | 54.57 | 66.19 | 59.82 |  |\n| Auto+EP | 47.83 | 38.39 | 42.59 |  |",0]
["| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing |  |  |\n| --- | --- | --- | --- | --- |\n| Recall | Precision | Recall | Precision | Recall |","| 79 | 0.671 | 0.646 | 0.658 | 0.894 | 0.822 |\n| --- | --- | --- | --- | --- | --- |\n| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |\n| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |\n| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 |",1]
["| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing |  |  |\n| --- | --- | --- | --- | --- |\n| Recall | Precision | Recall | Precision | Recall |","| Auto+EP | 64.40 | 51.68 | 57.34 |  |\n| --- | --- | --- | --- | --- |\n| Exact | GS+noEP | 65.72 | 66.19 | 65.95 |\n| GS+EP | 54.57 | 66.19 | 59.82 |  |\n| Auto+EP | 47.83 | 38.39 | 42.59 |  |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 |","| 10000000<br>100000000<br>Gauss8388607<br>33554431 | 4.4395.230<br>52.63462.659<br>3.5504.536<br>16.58419.630 | 1.5892.85.378<br>12.9124.150.805<br>1.5342.35.220<br>5.1633.218.954 | 1.3703.2<br>5.3219.9<br>1.0723.3<br>3.2125.2 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7865.653<br>57.96968.505<br>3.8604.628<br>17.13120.759<br>77.24491.977 | 2.0022.45.879<br>17.4703.353.243<br>1.5452.54.920<br>5.1283.320.554<br>21.1683.670.394 | 1.3933.4<br>8.2267.0<br>1.0753.6<br>3.1045.5<br>10.8687.1 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.22310.144<br>51.52197.713<br>3.7136.778<br>16.56527.185<br>71.417174.611 | 7.3480.612.085<br>54.9250.984.106<br>3.1171.26.922<br>9.2731.821.357<br>78.1260.9123.443 | 2.7551.5<br>15.1963.4<br>1.9151.9<br>5.7092.9<br>29.0192.5 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 1.3051.268<br>14.89014.575<br>1.1061.053<br>4.7514.653<br>20.94819.972 | 0.5812.21.254<br>3.7104.011.836<br>0.4572.41.116<br>1.2913.74.756<br>4.4664.718.034 | 0.7821.7<br>3.1644.7<br>0.5022.2<br>1.2523.8<br>4.4274.7 |\n| 10000000<br>100000000<br>Gauss8388607<br>33554431<br>134217727 | 1.2831.260<br>14.35613.994<br>1.0561.058<br>4.7344.503<br>19.99719.244 | 0.5032.61.341<br>3.5404.112.216<br>0.4782.21.055<br>1.3423.54.381<br>5.1603.916.887 | 0.6472.0<br>2.9024.9<br>0.5172.0<br>1.7992.6<br>4.7184.2 |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 |","| 10000000<br>100000000<br>Gauss8388607<br>33554431 | 4.4395.230<br>52.63462.659<br>3.5504.536<br>16.58419.630 | 1.5892.85.378<br>12.9124.150.805<br>1.5342.35.220<br>5.1633.218.954 | 1.3703.2<br>5.3219.9<br>1.0723.3<br>3.2125.2 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 4.7865.653<br>57.96968.505<br>3.8604.628<br>17.13120.759<br>77.24491.977 | 2.0022.45.879<br>17.4703.353.243<br>1.5452.54.920<br>5.1283.320.554<br>21.1683.670.394 | 1.3933.4<br>8.2267.0<br>1.0753.6<br>3.1045.5<br>10.8687.1 |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 4.22310.144<br>51.52197.713<br>3.7136.778<br>16.56527.185<br>71.417174.611 | 7.3480.612.085<br>54.9250.984.106<br>3.1171.26.922<br>9.2731.821.357<br>78.1260.9123.443 | 2.7551.5<br>15.1963.4<br>1.9151.9<br>5.7092.9<br>29.0192.5 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork | MMParSU |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Random8388607<br>33554431<br>134217727 | 4.5425.449<br>53.87764.226<br>3.7044.425<br>16.42620.168<br>74.59086.664 | 2.1182.15.761<br>14.6083.744.514<br>1.4552.54.649<br>4.8273.419.653<br>18.1524.166.932 | 1.5053.0<br>8.5836.3<br>1.1033.4<br>2.6696.2<br>10.3237.2 |","| 10000000<br>100000000<br>Buckets8388607<br>33554431<br>134217727 | 1.2911.212<br>14.73414.035<br>1.0710.967<br>4.6704.515<br>20.66619.031 | 0.4882.61.272<br>3.4124.313.230<br>0.4032.71.114<br>1.2663.74.265<br>4.3514.715.014 | 0.8211.6<br>3.3554.4<br>0.5831.8<br>1.4973.1<br>4.0465.1 |\n| --- | --- | --- | --- |\n| 10000000<br>100000000<br>Staggered8388607<br>33554431<br>134217727 | 1.1871.306<br>13.89714.800<br>1.0641.058<br>4.5974.631<br>19.13319.660 | 0.6311.91.350<br>4.3413.211.857<br>0.4402.41.213<br>1.2163.84.775<br>4.8444.015.354 | 0.8281.4<br>3.5903.9<br>0.6711.6<br>1.6112.9<br>4.3994.3 |",0]
["| Σ | Thesetofallpossibleeventtypes |\n| --- | --- |\n| Ej | Eventoftypej |\n| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |\n| mj | ThememorycostofkeepingeacheventoftypeEj |\n| Q | Thesetofquerypatterns |","| Qi | Querypatterni |\n| --- | --- |\n| \\|Q\\|i | ThenumberofeventtypesinQi |\n| wi | TheutilityweightassociatedwithQi |\n| ni | ThenumberofmatchesofQinaunittimei |\n| ci | TheCPUcostofproducingeachresultforQi |\n| C | ThetotalCPUbudget |\n| M | Thetotalmemorybudget |\n| xj | ThebinaryselectiondecisionofeventEj |\n| j | j |\n| yi | TheselectiondecisionofqueryQi |\n| i | i |\n| p | Themaxnumberofqueriesthatoneeventtype<br>participatesin |\n| f | Thefractionofmemorybudgetthatthelargest<br>queryconsumes |\n| d | Themaximumnumberofeventtypesinanyone<br>query |",1]
["| Σ | Thesetofallpossibleeventtypes |\n| --- | --- |\n| Ej | Eventoftypej |\n| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |\n| mj | ThememorycostofkeepingeacheventoftypeEj |\n| Q | Thesetofquerypatterns |","| task,t,t12 | Onetaskofmatrixfactorizations |\n| --- | --- |\n| Nproc | Squarerootofthetotalnumberofprocesses |\n| fl | ThelowestCPUfrequencysetbyDVFS |\n| fh | ThehighestCPUfrequencysetbyDVFS |\n| fopt | Optimalidealfrequencytoﬁnishataskwithitsslackeliminated |\n| ratio | Ratiobetweensplitdurationsforoptimalfrequencyapproximation |\n| TDS(task)in | TDSconsistingoftasksthataredependedbytaskastheinput |\n| TDS(task)out | TDSconsistingoftasksthatdependontaskastheinput |\n| CritPath | Onetasktracetoﬁnishmatrixfactorizationswithzerototalslack |\n| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |\n| CurFreq | CurrentCPUfrequencyinuse |\n| DoneFlag | Indicatoroftheﬁnishofatask |",0]
["| Σ | Thesetofallpossibleeventtypes |\n| --- | --- |\n| Ej | Eventoftypej |\n| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |\n| mj | ThememorycostofkeepingeacheventoftypeEj |\n| Q | Thesetofquerypatterns |\n| Qi | Querypatterni |","| \\|Q\\|i | ThenumberofeventtypesinQi |\n| --- | --- |\n| wi | TheutilityweightassociatedwithQi |\n| ni | ThenumberofmatchesofQinaunittimei |\n| ci | TheCPUcostofproducingeachresultforQi |\n| C | ThetotalCPUbudget |\n| M | Thetotalmemorybudget |\n| xj | ThebinaryselectiondecisionofeventEj |\n| j | j |\n| yi | TheselectiondecisionofqueryQi |\n| i | i |\n| p | Themaxnumberofqueriesthatoneeventtype<br>participatesin |\n| f | Thefractionofmemorybudgetthatthelargest<br>queryconsumes |\n| d | Themaximumnumberofeventtypesinanyone<br>query |",1]
["| Σ | Thesetofallpossibleeventtypes |\n| --- | --- |\n| Ej | Eventoftypej |\n| λj | ThenumberofarrivedeventsEinaunittimej<br>(eventarrivalrate) |\n| mj | ThememorycostofkeepingeacheventoftypeEj |\n| Q | Thesetofquerypatterns |\n| Qi | Querypatterni |","| CritPath | Onetasktracetoﬁnishmatrixfactorizationswithzerototalslack |\n| --- | --- |\n| slack | Timethatataskcanbedelayedbywithnooverallperformanceloss |\n| CurFreq | CurrentCPUfrequencyinuse |\n| DoneFlag | Indicatoroftheﬁnishofatask |",0]
["| Token | Dist-1 | Dist-2 | Dist-3 |\n| --- | --- | --- | --- |\n| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |\n| Token | Dist-1 | Dist-2 | Dist-3 |","| 176.1K<br>124.5K<br>217.3K<br>467.6K<br>279.4K<br>383.6K | 0.6K<br>0.6K<br>0.7K<br>0.8K<br>1.6K<br>1.9K | 2.1K<br>1.9K<br>2.6K<br>3.6K<br>8.9K<br>11.7K | 3.5K<br>3.5K<br>4.6K<br>7.6K<br>18.4K<br>26.3K |\n| --- | --- | --- | --- |\n| Token | Dist-1 | Dist-2 | Dist-3 |\n| 81.1K<br>97.9K<br>83.4K<br>112.2K<br>79.4K<br>97.3K | 1.4K<br>1.2K<br>1.4K<br>1.5K<br>1.9K<br>2.1K | 4.4K<br>3.9K<br>4.5K<br>5.2K<br>7.7K<br>10.8K | 6.3K<br>5.5K<br>6.5K<br>8.5K<br>11.4K<br>19.1K |",1]
["| Token | Dist-1 | Dist-2 | Dist-3 |\n| --- | --- | --- | --- |\n| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |\n| Token | Dist-1 | Dist-2 | Dist-3 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Token | Dist-1 | Dist-2 | Dist-3 |\n| --- | --- | --- | --- |\n| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |\n| Token | Dist-1 | Dist-2 | Dist-3 |\n| 176.1K<br>124.5K<br>217.3K<br>467.6K<br>279.4K<br>383.6K | 0.6K<br>0.6K<br>0.7K<br>0.8K<br>1.6K<br>1.9K | 2.1K<br>1.9K<br>2.6K<br>3.6K<br>8.9K<br>11.7K | 3.5K<br>3.5K<br>4.6K<br>7.6K<br>18.4K<br>26.3K |","| Token | Dist-1 | Dist-2 | Dist-3 |\n| --- | --- | --- | --- |\n| 81.1K<br>97.9K<br>83.4K<br>112.2K<br>79.4K<br>97.3K | 1.4K<br>1.2K<br>1.4K<br>1.5K<br>1.9K<br>2.1K | 4.4K<br>3.9K<br>4.5K<br>5.2K<br>7.7K<br>10.8K | 6.3K<br>5.5K<br>6.5K<br>8.5K<br>11.4K<br>19.1K |",1]
["| Token | Dist-1 | Dist-2 | Dist-3 |\n| --- | --- | --- | --- |\n| 151.2K<br>131.1K<br>140.5K<br>438.6K<br>271.9K<br>406.8K | 1.2K<br>1.1K<br>1.1K<br>1.7K<br>2.8K<br>3.4K | 3.9K<br>3.3K<br>3.5K<br>7.5K<br>14.8K<br>22.3K | 6.6K<br>5.5K<br>6.1K<br>15.7K<br>29.0K<br>49.6K |\n| Token | Dist-1 | Dist-2 | Dist-3 |\n| 176.1K<br>124.5K<br>217.3K<br>467.6K<br>279.4K<br>383.6K | 0.6K<br>0.6K<br>0.7K<br>0.8K<br>1.6K<br>1.9K | 2.1K<br>1.9K<br>2.6K<br>3.6K<br>8.9K<br>11.7K | 3.5K<br>3.5K<br>4.6K<br>7.6K<br>18.4K<br>26.3K |","| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| auctions/auc-paths | auc/paths | 86 |","| auctions/auc-scheduling | auc/sch | 84 |\n| --- | --- | --- |\n| CSG | csg | 10 |\n| min-enc/planning | planning | 56 |\n| min-enc/warehouses | warehouses | 18 |\n| pseudo/miplib | miplib | 12 |\n| random-net | rnd-net | 74 |",1]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| auctions/auc-paths | auc/paths | 86 |","| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |\n| QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 |\n| Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 |\n| MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |\n| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |\n| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |\n| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |\n| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |",0]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| auctions/auc-paths | auc/paths | 86 |","| auctions/auc-scheduling | auc/sch | 84 |\n| --- | --- | --- |\n| CSG | csg | 10 |\n| min-enc/planning | planning | 56 |\n| min-enc/warehouses | warehouses | 18 |\n| pseudo/miplib | miplib | 12 |\n| random-net | rnd-net | 74 |",1]
["| Name | Abbreviation | #ofinstances |\n| --- | --- | --- |\n| auctions/auc-paths | auc/paths | 86 |","| MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |\n| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |\n| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |\n| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |",0]
["| Property | VultureHellionZealot |\n| --- | --- |\n| Hit-points | 8090100 |\n| Damage | 201316 |","| AttackRange | 550.1 |\n| --- | --- |\n| Speed | 4.965.953.15 |\n| Cool-down | 1.261.780.857 |",1]
["| Property | VultureHellionZealot |\n| --- | --- |\n| Hit-points | 8090100 |\n| Damage | 201316 |","| Topology | Size | Detection | Cost |\n| --- | --- | --- | --- |\n| Ring | 9 | nodetection | 0.050 |\n| outlier | 0.276 |  |  |\n| fault | 0.921 |  |  |\n| 25 | nodetection | 0.101 |  |\n| outlier | 1.131 |  |  |\n| fault | 3.286 |  |  |\n| Torus | 9 | nodetection | 0.027 |\n| outlier | 0.121 |  |  |\n| fault | 1.327 |  |  |\n| 25 | nodetection | 0.043 |  |\n| outlier | 0.567 |  |  |\n| fault | 6.055 |  |  |\n| Petersen | 10 | nodetection | 0.005 |\n| outlier | 0.135 |  |  |\n| fault | 0.597 |  |  |\n| Random | 10 | nodetection | 0.013 |\n| outlier | 0.290 |  |  |\n| fault | 1.268 |  |  |",0]
["| Property | VultureHellionZealot |\n| --- | --- |\n| Hit-points | 8090100 |","| Damage | 201316 |\n| --- | --- |\n| AttackRange | 550.1 |\n| Speed | 4.965.953.15 |\n| Cool-down | 1.261.780.857 |",1]
["| Property | VultureHellionZealot |\n| --- | --- |\n| Hit-points | 8090100 |","| fault | 0.921 |  |  |\n| --- | --- | --- | --- |\n| 25 | nodetection | 0.101 |  |\n| outlier | 1.131 |  |  |\n| fault | 3.286 |  |  |\n| Torus | 9 | nodetection | 0.027 |\n| outlier | 0.121 |  |  |\n| fault | 1.327 |  |  |\n| 25 | nodetection | 0.043 |  |\n| outlier | 0.567 |  |  |\n| fault | 6.055 |  |  |\n| Petersen | 10 | nodetection | 0.005 |\n| outlier | 0.135 |  |  |\n| fault | 0.597 |  |  |\n| Random | 10 | nodetection | 0.013 |\n| outlier | 0.290 |  |  |\n| fault | 1.268 |  |  |",0]
["| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |","| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |\n| --- | --- | --- | --- |\n| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",1]
["| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |","| Program(n) | StartGraph<br>(nodes/edges) | FinalGraph<br>(nodes/edges) | LTLDeadlock |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| DPE(2)<br>DPE(5) | 326/496<br>326/496 | 362/582<br>389/653 | 1.10<br>32.37 | 824/838<br>20,428/20,906 | 1.18<br>29.10 | 824/838<br>20,428/20,906 |\n| DPB(2)<br>DPB(5) | 322/488<br>322/488 | 378/644<br>447/836 | 0.84<br>175 | 708/712<br>74,942/77,378 | 1.33<br>204 | 1,108/1,134<br>122,714/127,425 |\n| PC(5)<br>PC(20) | 371/563<br>371/563 | 393/621<br>393/621 | 3.51<br>12.98 | 2,152/2,194<br>8,362/8,539 | 3.30<br>12.84 | 2,152/2,194<br>8,362/8,539 |\n| DS(2,2,2)<br>DS(2,3,2)<br>DS(2,4,1) | 440/668<br>441/668<br>441/668 | 470/749<br>478/769<br>486/789 | 11.48<br>388<br>2,448 | 5,976/6,081<br>103,190/106,260<br>396,011/414,462 | 10.82<br>256<br>941 | 5,976/6,081<br>103,190/106,260<br>306,401/319,018 |\n| CS | 559/866 | 608/1000 | 417 | 65,275/70,008 | 370 | 65,275/70,008 |",0]
["| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |","| ER20<br>ER23 | 1.05<br>8.39 | 4.19<br>33.55 | 1544.47<br>1034.46 |\n| --- | --- | --- | --- |\n| Graph500<br>(threegraphs) | 16.78 | 335.00 | 924,0002020,900 |",1]
["| Graph | Nodes<br>(Million) | Edges<br>(Million) | Outdegrees<br>MaxAvgσ |\n| --- | --- | --- | --- |\n| rmat20 | 1.05 | 8.26 | 1,1818177.40 |\n| road-FLA<br>road-W<br>road-USA | 1.07<br>6.26<br>23.95 | 2.71<br>15.12<br>57.71 | 832.45<br>942.74<br>932.74 |","| DS(2,2,2)<br>DS(2,3,2)<br>DS(2,4,1) | 440/668<br>441/668<br>441/668 | 470/749<br>478/769<br>486/789 | 11.48<br>388<br>2,448 | 5,976/6,081<br>103,190/106,260<br>396,011/414,462 | 10.82<br>256<br>941 | 5,976/6,081<br>103,190/106,260<br>306,401/319,018 |\n| --- | --- | --- | --- | --- | --- | --- |\n| CS | 559/866 | 608/1000 | 417 | 65,275/70,008 | 370 | 65,275/70,008 |",0]
["| Sen | Hu | Kalantari | OursUnet |\n| --- | --- | --- | --- |\n| 40.80 | 35.79 | 42.70 | 40.81 |","| 0.9808 | 0.9717 | 0.9877 | 0.9844 |\n| --- | --- | --- | --- |\n| 38.11 | 30.76 | 41.22 | 40.52 |\n| 0.9721 | 0.9503 | 0.9845 | 0.9837 |\n| 59.38 | 57.05 | 63.98 | 64.88 |",1]
["| Sen | Hu | Kalantari | OursUnet |\n| --- | --- | --- | --- |\n| 40.80 | 35.79 | 42.70 | 40.81 |","| Eﬀect | R1 | R2 | R3 | R4 | R5 | R6 | R7 | R8 | R9 | R10 | Avg | STD |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -170.40 | -146.54 | -83.92 | -55.00 | -131.83 | -6.05 | -128.09 | -110.66 | -184.81 | -152.86 | -117.02 | 55.01 |\n| eτ | 165.32 | 160.08 | 95.83 | 71.21 | 149.41 | 8.11 | 133.20 | 111.97 | 167.79 | 160.23 | 122.31 | 51.75 |\n| eN | 1.78 | 15.84 | -9.18 | 6.22 | 6.74 | 3.40 | -13.50 | 0.35 | -14.64 | -17.58 | -2.06 | 11.04 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -122.99 | -165.55 | -144.34 | -64.94 | -168.15 | -8.09 | -154.27 | -170.61 | -189.59 | -187.66 | -137.62 | 58.31 |\n| eτ | 142.72 | 177.17 | 154.10 | 77.45 | 186.62 | 24.03 | 164.25 | 172.21 | 171.13 | 172.02 | 144.17 | 52.25 |\n| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Sen | Hu | Kalantari | OursUnet |\n| --- | --- | --- | --- |\n| 40.80 | 35.79 | 42.70 | 40.81 |\n| 0.9808 | 0.9717 | 0.9877 | 0.9844 |\n| 38.11 | 30.76 | 41.22 | 40.52 |","| 0.9721 | 0.9503 | 0.9845 | 0.9837 |\n| --- | --- | --- | --- |\n| 59.38 | 57.05 | 63.98 | 64.88 |",1]
["| Sen | Hu | Kalantari | OursUnet |\n| --- | --- | --- | --- |\n| 40.80 | 35.79 | 42.70 | 40.81 |\n| 0.9808 | 0.9717 | 0.9877 | 0.9844 |\n| 38.11 | 30.76 | 41.22 | 40.52 |","| eN | 42.90 | 1.75 | 12.81 | 19.08 | 8.50 | -1.08 | -0.29 | -12.17 | 25.41 | -15.03 | 8.19 | 17.62 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |  |  |\n| eτ | -151.65 | -140.59 | -132.44 | -35.97 | -166.98 | -7.63 | -159.37 | -171.89 | -194.38 | -163.85 | -132.47 | 61.12 |\n| eτ | 157.63 | 152.23 | 147.97 | 38.06 | 176.90 | 16.03 | 175.96 | 163.48 | 171.95 | 174.82 | 137.50 | 59.31 |\n| eN | 2.27 | 22.60 | 15.16 | 14.70 | 21.23 | 4.64 | 5.73 | 10.22 | 20.50 | 8.15 | 12.52 | 7.38 |",0]
["| Metrics | Fenda | Whale |\n| --- | --- | --- |\n| CL.1CL.2CL.3 | CL.1CL.2CL.3 |  |","| Avg.#Followers | 627.6749.5951.4 | 508.71358.11687.1 |\n| --- | --- | --- |\n| Avg.#Listeners | 16.627.025.9 | 43.568.162.6 |\n| Avg.Price($) | 1.72.42.6 | 0.21.30.7 |\n| Avg.#Questions | 106.568.871.4 | 41.617.7112.4 |",1]
["| Metrics | Fenda | Whale |\n| --- | --- | --- |\n| CL.1CL.2CL.3 | CL.1CL.2CL.3 |  |","| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Yasin | 60.0 | 54.7 | 71.6 | 67.5 | 63.8 | 61.9 | 55.7 | 73.9 |\n| X\\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |\n| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 |",0]
["| Metrics | Fenda | Whale |\n| --- | --- | --- |\n| CL.1CL.2CL.3 | CL.1CL.2CL.3 |  |","| Avg.#Followers | 627.6749.5951.4 | 508.71358.11687.1 |\n| --- | --- | --- |\n| Avg.#Listeners | 16.627.025.9 | 43.568.162.6 |\n| Avg.Price($) | 1.72.42.6 | 0.21.30.7 |\n| Avg.#Questions | 106.568.871.4 | 41.617.7112.4 |",1]
["| Metrics | Fenda | Whale |\n| --- | --- | --- |\n| CL.1CL.2CL.3 | CL.1CL.2CL.3 |  |","| X\\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |\n| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 |",0]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1496 | 2863triangles | 74 |\n| CC-DFM | 1459 | 1416triangles | 43 |","| EDFM | 1044 | 960quads | 84 |\n| --- | --- | --- | --- |\n| mortar-DFM | 3647 | 1384triangles | 63 |\n| P-XFEM | 1667 | 1320quads | 68 |\n| D-XFEM | 3514 | 1132triangles | 160 |\n| MFD | 889233 | 424921mixed | 19287 |",1]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1496 | 2863triangles | 74 |\n| CC-DFM | 1459 | 1416triangles | 43 |","| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1422 | 2691triangles | 130 |\n| CC-DFM | 1481 | 1386triangles | 95 |\n| EDFM | 1501 | 1369quads | 132 |\n| mortar-DFM | 3366 | 1280triangles | 75 |\n| P-XFEM | 1632 | 961quads | 318 |\n| D-XFEM | 4474 | 1250triangles | 126 |\n| MFD | 2352280 | 1136456quads | 38600 |",0]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1496 | 2863triangles | 74 |\n| CC-DFM | 1459 | 1416triangles | 43 |\n| EDFM | 1044 | 960quads | 84 |\n| mortar-DFM | 3647 | 1384triangles | 63 |","| P-XFEM | 1667 | 1320quads | 68 |\n| --- | --- | --- | --- |\n| D-XFEM | 3514 | 1132triangles | 160 |\n| MFD | 889233 | 424921mixed | 19287 |",1]
["| method | d.o.f. | matrixelements | fractureelements |\n| --- | --- | --- | --- |\n| Box-DFM | 1496 | 2863triangles | 74 |\n| CC-DFM | 1459 | 1416triangles | 43 |\n| EDFM | 1044 | 960quads | 84 |\n| mortar-DFM | 3647 | 1384triangles | 63 |","| P-XFEM | 1632 | 961quads | 318 |\n| --- | --- | --- | --- |\n| D-XFEM | 4474 | 1250triangles | 126 |\n| MFD | 2352280 | 1136456quads | 38600 |",0]
["| Event | FiringRate(perhour) |\n| --- | --- |\n| Text | 557.8 |\n| App | 23.2 |","| Web | 5.6 |\n| --- | --- |\n| Location | 3.5 |",1]
["| Event | FiringRate(perhour) |\n| --- | --- |\n| Text | 557.8 |\n| App | 23.2 |","| Feature | Importance |\n| --- | --- |\n| displayid-events-geolocation-0T.norm | 0.117 |\n| displayid-events-geolocation-0T | 0.114 |\n| displayid-events-geolocation-1T | 0.114 |\n| main-adid | 0.030 |\n| displayid-events-documentid | 0.017 |",0]
["| Event | FiringRate(perhour) |\n| --- | --- |\n| Text | 557.8 |","| App | 23.2 |\n| --- | --- |\n| Web | 5.6 |\n| Location | 3.5 |",1]
["| Event | FiringRate(perhour) |\n| --- | --- |\n| Text | 557.8 |","| main-adid | 0.030 |\n| --- | --- |\n| displayid-events-documentid | 0.017 |",0]
["| (cid:48)<br>M | N |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 66 | 70 | 74 | 78 | 82 |  |  |  |  |  |  |\n| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |  |\n| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |","| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |",1]
["| (cid:48)<br>M | N |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 66 | 70 | 74 | 78 | 82 |  |  |  |  |  |  |\n| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |  |\n| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |","| nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |\n| --- | --- | --- | --- |\n| 29 | 435 | 116.6 | 0.27 |\n| 30 | 465 | 141.6 | 0.30 |\n| 31 | 496 | 167.9 | 0.34 |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| (cid:48)<br>M | N |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 66 | 70 | 74 | 78 | 82 |  |  |  |  |  |\n| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |","| 28 | 60.0 | 454.2M | 63.6 | 481.8M | 67.3 | 509.4M | 70.9 | 537.0M | 74.5 | 564.5M |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 30 | 64.3 | 486.7M | 68.1 | 516.2M | 72.0 | 545.8M | 75.9 | 575.3 | 79.8 | 604.8M |\n| 32 | 69.1 | 519.1M | 72.7 | 550.6M | 76.8 | 582.1M | 81.0 | 613.6 | 85.1 | 645.1M |",1]
["| (cid:48)<br>M | N |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 66 | 70 | 74 | 78 | 82 |  |  |  |  |  |\n| Time | Gates | Time | Gates | Time | Gates | Time | Gates | Time | Gates |","| 31 | 496 | 167.9 | 0.34 |\n| --- | --- | --- | --- |\n| 32 | 528 | 200.9 | 0.38 |\n| 33 | 561 | 245.0 | 0.44 |\n| 34 | 595 | 297.4 | 0.50 |\n| 35 | 630 | 339.7 | 0.54 |\n| 36 | 666 | 445.4 | 0.67 |\n| 37 | 703 | 540.2 | 0.77 |\n| 38 | 741 | 643.8 | 0.87 |\n| 39 | 780 | 766.1 | 0.98 |\n| 40 | 820 | 997.2 | 1.22 |",0]
["| CloudSim[24] | GreenCloud[9] | iCanCloud[3] |\n| --- | --- | --- |\n| any | NS2 | OMNET,MPI |\n| Java | C++/OTcl | C++ |\n| OpenSource | OpenSource | OpenSource |\n| Limited(ViaCloudAnalyst) | N | N |\n| N | Limited(ViaPlug-in) | Y |\n| N | N | Y |\n| N | N | Y |\n| Y | Y | N |","| Y | N | N |\n| --- | --- | --- |\n| Seconds | Tensofminutes | seconds |\n| small | large | medium |",1]
["| CloudSim[24] | GreenCloud[9] | iCanCloud[3] |\n| --- | --- | --- |\n| any | NS2 | OMNET,MPI |\n| Java | C++/OTcl | C++ |\n| OpenSource | OpenSource | OpenSource |\n| Limited(ViaCloudAnalyst) | N | N |\n| N | Limited(ViaPlug-in) | Y |\n| N | N | Y |\n| N | N | Y |\n| Y | Y | N |","| Node | Benchmark<br>(inGFlops) | CPU<br>(inGHz) | RAM<br>(inGB) |\n| --- | --- | --- | --- |\n| Mobile(small) | 1.09 | 1.3(Dual) | 1 |\n| Mobile(medium) | 1.24 | 1.4(Dual) | 1 |\n| Cloudlet | 2.56 | 2.5(Quad) | 16 |\n| Cloud(small) | 2.32 | 2.4(Single) | 1 |\n| Cloud(medium) | 2.94 | 2.8(Quad) | 7.5 |\n| Cloud(large) | 3.02 | 2.8(Octa) | 15 |",0]
["| CloudSim[24] | GreenCloud[9] | iCanCloud[3] |\n| --- | --- | --- |\n| any | NS2 | OMNET,MPI |\n| Java | C++/OTcl | C++ |\n| OpenSource | OpenSource | OpenSource |\n| Limited(ViaCloudAnalyst) | N | N |\n| N | Limited(ViaPlug-in) | Y |\n| N | N | Y |\n| N | N | Y |","| Y | Y | N |\n| --- | --- | --- |\n| Y | N | N |\n| Seconds | Tensofminutes | seconds |\n| small | large | medium |",1]
["| CloudSim[24] | GreenCloud[9] | iCanCloud[3] |\n| --- | --- | --- |\n| any | NS2 | OMNET,MPI |\n| Java | C++/OTcl | C++ |\n| OpenSource | OpenSource | OpenSource |\n| Limited(ViaCloudAnalyst) | N | N |\n| N | Limited(ViaPlug-in) | Y |\n| N | N | Y |\n| N | N | Y |","| Cloud(small) | 2.32 | 2.4(Single) | 1 |\n| --- | --- | --- | --- |\n| Cloud(medium) | 2.94 | 2.8(Quad) | 7.5 |\n| Cloud(large) | 3.02 | 2.8(Octa) | 15 |",0]
["| Name | Description | Year |\n| --- | --- | --- |\n| HVSM | Bitwiseoperationandpositioninduction. | 2005 |\n| LAPIN-SPAM | Bitwiseoperation. | 2005 |\n| PLWAP | Positioninduction. | 2005 |\n| LAPIN | Positioninduction. | 2007 |","| DISC-all | Positioninductionandpreﬁxgrowth. | 2007 |\n| --- | --- | --- |\n| UDDAG | Up-DownDirectedAcyclicGraphforsequentialpatternmining. | 2010 |",1]
["| Name | Description | Year |\n| --- | --- | --- |\n| HVSM | Bitwiseoperationandpositioninduction. | 2005 |\n| LAPIN-SPAM | Bitwiseoperation. | 2005 |\n| PLWAP | Positioninduction. | 2005 |\n| LAPIN | Positioninduction. | 2007 |","| Service | #adopters | #usages |\n| --- | --- | --- |\n| Bitly | 55,883 | 5,046,710 |\n| TinyURL | 46,577 | 1,682,459 |\n| Isgd | 28,050 | 596,895 |\n| TwURL | 15,215 | 197,568 |\n| SnURL | 4,462 | 41,823 |\n| Doiop | 88 | 643 |",0]
["| Name | Description | Year |\n| --- | --- | --- |\n| HVSM | Bitwiseoperationandpositioninduction. | 2005 |\n| LAPIN-SPAM | Bitwiseoperation. | 2005 |\n| PLWAP | Positioninduction. | 2005 |","| LAPIN | Positioninduction. | 2007 |\n| --- | --- | --- |\n| DISC-all | Positioninductionandpreﬁxgrowth. | 2007 |\n| UDDAG | Up-DownDirectedAcyclicGraphforsequentialpatternmining. | 2010 |",1]
["| Name | Description | Year |\n| --- | --- | --- |\n| HVSM | Bitwiseoperationandpositioninduction. | 2005 |\n| LAPIN-SPAM | Bitwiseoperation. | 2005 |\n| PLWAP | Positioninduction. | 2005 |","| TinyURL | 46,577 | 1,682,459 |\n| --- | --- | --- |\n| Isgd | 28,050 | 596,895 |\n| TwURL | 15,215 | 197,568 |\n| SnURL | 4,462 | 41,823 |\n| Doiop | 88 | 643 |",0]
["| Homosapiens75 |  |\n| --- | --- |\n| Run1 | Run2 |","| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 25 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 55 | 0 | 0 | 2 | 0 | 1 | 1 |\n| 75 | 1 | 1 | 2 | 1 | 1 | 3 |\n| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",1]
["| Homosapiens75 |  |\n| --- | --- |\n| Run1 | Run2 |","| Musmusculus74 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Run1 | Run2 |  |  |  |  |  |\n| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| 25 | 1 | 2 | 3 | 2 | 3 | 5 |\n| 55 | 1 | 1 | 3 | 2 | 2 | 4 |\n| 75 | 2 | 3 | 5 | 1 | 2 | 5 |\n| 90 | 3 | 4 | 6 | 3 | 4 | 6 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| Homosapiens75 |  |\n| --- | --- |\n| Run1 | Run2 |","| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 25 | 0 | 0 | 0 | 0 | 0 | 0 |\n| 55 | 0 | 0 | 2 | 0 | 1 | 1 |\n| 75 | 1 | 1 | 2 | 1 | 1 | 3 |\n| 90 | 0 | 0 | 0 | 0 | 0 | 1 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",1]
["| Homosapiens75 |  |\n| --- | --- |\n| Run1 | Run2 |","| Subsampleperc | Top3 | Top5 | Top10 | Top3 | Top5 | Top10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 25 | 1 | 2 | 3 | 2 | 3 | 5 |\n| 55 | 1 | 1 | 3 | 2 | 2 | 4 |\n| 75 | 2 | 3 | 5 | 1 | 2 | 5 |\n| 90 | 3 | 4 | 6 | 3 | 4 | 6 |\n| 100 | 3 | 5 | 10 | 3 | 5 | 10 |",0]
["| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |","| QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 |\n| MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |\n| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |\n| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |\n| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |\n| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |",1]
["| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |","| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |\n| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |\n| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |\n| QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 |\n| Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 |\n| MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |","| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |\n| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |\n| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |",1]
["| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |\n| QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 |\n| Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 |\n| MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |","| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",0]
["| Method | NDCG | Precision | Recall | w-AUC |\n| --- | --- | --- | --- | --- |\n| Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 |\n| Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 |\n| ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 |\n| PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 |\n| Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 |\n| Dot-IxD | 0.5274 | 0.1021 | 0.6911 | 0.7165 |","| Max-I | 0.4736 | 0.0969 | 0.6390 | 0.6555 |\n| --- | --- | --- | --- | --- |\n| Sum-I(proposed) | 0.5706 | 0.1006 | 0.6753 | 0.7239 |",1]
["| Method | NDCG | Precision | Recall | w-AUC |\n| --- | --- | --- | --- | --- |\n| Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 |\n| Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 |\n| ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 |\n| PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 |\n| Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 |\n| Dot-IxD | 0.5274 | 0.1021 | 0.6911 | 0.7165 |","| Method | AVG-<br>AUC | M-<br>AUC | SK-<br>AUC | M-<br>SP82 | M-<br>SP89 | M-<br>SP95 | M-<br>SENS | M-<br>SPEC | SK-<br>SENS |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| [24]TopAVG | 0.911 | 0.868 | 0.953 | 0.729 | 0.588 | 0.366 | 0.735 | 0.851 | 0.978 |\n| [25]TopSK | 0.910 | 0.856 | 0.965 | 0.727 | 0.555 | 0.404 | 0.103 | 0.998 | 0.178 |\n| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Method | NDCG | Precision | Recall | w-AUC |\n| --- | --- | --- | --- | --- |\n| Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 |\n| Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 |\n| ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 |\n| PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 |\n| Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 |","| Dot-IxD | 0.5274 | 0.1021 | 0.6911 | 0.7165 |\n| --- | --- | --- | --- | --- |\n| Max-I | 0.4736 | 0.0969 | 0.6390 | 0.6555 |\n| Sum-I(proposed) | 0.5706 | 0.1006 | 0.6753 | 0.7239 |",1]
["| Method | NDCG | Precision | Recall | w-AUC |\n| --- | --- | --- | --- | --- |\n| Mass | 0.4297 | 0.0885 | 0.6181 | 0.5867 |\n| Frequency | 0.4744 | 0.0853 | 0.5866 | 0.5866 |\n| ContextBased | 0.5228 | 0.1003 | 0.6730 | 0.7226 |\n| PARAFAC2Model | 0.5470 | 0.0987 | 0.6343 | 0.6250 |\n| Max-IxD | 0.4908 | 0.1006 | 0.6753 | 0.6858 |","| [26]TopM | 0.908 | 0.874 | 0.943 | 0.747 | 0.590 | 0.395 | 0.547 | 0.950 | 0.356 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| AVGSC | 0.913 | 0.872 | 0.954 | 0.778 | 0.605 | 0.435 | 0.214 | 0.988 | 0.600 |\n| L-SVM | 0.926 | 0.892 | 0.960 | 0.834 | 0.692 | 0.571 | 0.718 | 0.901 | 0.878 |\n| NL-SVM | 0.904 | 0.853 | 0.955 | 0.801 | 0.449 | 0.168 | 0.675 | 0.909 | 0.889 |",0]
["| Tracker |\n| --- |\n| AUC<br>Prec. |","| AUC<br>Prec. |\n| --- |\n| AUC<br>Prec. |\n| FPS |",1]
["| Tracker |\n| --- |\n| AUC<br>Prec. |","| Tracker | Framerate(fps) |\n| --- | --- |\n| ProposedMethod | 0.211 |\n| Struck | 25.1 |\n| SCM | 0.771 |\n| TLD | 36.2 |\n| CXT | 23.6 |\n| VTD | 9.82 |",0]
["| Tracker |\n| --- |\n| AUC<br>Prec. |\n| AUC<br>Prec. |","| AUC<br>Prec. |\n| --- |\n| FPS |",1]
["| Tracker |\n| --- |\n| AUC<br>Prec. |\n| AUC<br>Prec. |","| TLD | 36.2 |\n| --- | --- |\n| CXT | 23.6 |\n| VTD | 9.82 |",0]
["| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |","| BD | 74.2 | 227 | 940 | 4204 |\n| --- | --- | --- | --- | --- |\n| timing(sec) |  |  |  |  |",1]
["| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |","| Method | 1000 | 4000 | 16000 | 64000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |\n| HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) |\n| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |\n| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",0]
["| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |","| BD | 74.2 | 227 | 940 | 4204 |\n| --- | --- | --- | --- | --- |\n| timing(sec) |  |  |  |  |",1]
["| Method | 1500 | 5000 | 20000 | 80000 |\n| --- | --- | --- | --- | --- |\n| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |\n| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |\n| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.096 | 0.584 | 3.11 | 24.5 |\n| HF | 0.987 | 3.14 | 12.0 | 47.3 |","| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |\n| --- | --- | --- | --- | --- |\n| (e,e)2∞ |  |  |  |  |\n| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |\n| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |\n| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |\n| (d,d)2∞ |  |  |  |  |\n| DC | 0.152 | 0.636 | 4.54 | 26.9 |\n| HF | 1.03 | 3.14 | 12.7 | 53.7 |\n| BD | 28.4 | 182 | 744 | 3395 |\n| timing(sec) |  |  |  |  |",0]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |\n| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |","| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| --- | --- | --- | --- |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",1]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |\n| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |","| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 46.4±0.5 | 61.3±0.4 | 66.3±0.4 |\n| SA | 45.0 | 64.8 | 69.9 |\n| DaNBNN | 52.8±3.7 | 76.6±1.7 | 76.2±2.5 |\n| DaNN | 53.6±0.2 | 71.2±0.0 | 83.5±0.0 |\n| Dlid | 51.9 | 78.2 | 89.9 |\n| DecafS+T | 80.7±2.3 | 94.8±1.2 | − |\n| DDC | 84.1±0.6 | 95.4±0.4 | 96.3±0.3 |\n| DAN | 85.6±0.3 | 95.8±0.2 | 96.7±0.2 |\n| FCR2-c | 80.68±1.50 | 94.81±0.93 | 94.02±1.41 |\n| FCR1-c | 80.06±1.23 | 95.01±0.57 | 95.21±0.67 |\n| MLR | 79.32±1.09 | 94.25±0.80 | 94.27±1.15 |\n| CFV | 73.05±1.86 | 87.52±1.42 | 88.59±1.88 |\n| FCR1-c+FCR2-c | 81.40±1.63 | 95.27±0.87 | 95.51±1.08 |\n| MLR+FCR2-c | 83.96±1.66 | 95.95±0.65 | 96.84±0.44 |\n| CFV+FCR2-c | 83.93±1.94 | 95.21±1.07 | 95.85±0.75 |\n| MLR+FCR1-c | 82.74±1.37 | 95.78±0.54 | 96.74±0.64 |\n| CFV+FCR1-c | 82.56±1.79 | 94.62±0.97 | 96.05±0.82 |\n| MLR+CFV | 81.42±1.22 | 94.79±0.87 | 95.06±1.34 |\n| MLR+CFV+FCR1-c | 84.16±0.96 | 95.61±0.78 | 96.44±0.85 |\n| MLR+CFV+FCR2-c | 84.79±1.62 | 95.98±0.50 | 96.89±0.37 |\n| CFV+FCR1-c+FCR2-c | 83.50±2.06 | 95.24±0.64 | 96.54±0.84 |\n| MLR+FCR1-c+FCR2-c | 83.59±1.45 | 96.15±0.48 | 96.94±0.64 |\n| MLR+CFV+FCR1-c+FCR2-c | 84.64±1.57 | 95.95±0.54 | 97.14±0.37 |",0]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |","| DDC | 59.40±0.80 | 92.50±0.30 | 91.70±0.80 |\n| --- | --- | --- | --- |\n| FCR2-c | 54.21±1.59 | 91.55±0.64 | 90.44±0.66 |\n| FCR1-c | 53.46±0.94 | 91.35±0.61 | 91.24±1.25 |\n| MLR | 40.43±3.03 | 89.79±1.32 | 89.68±1.21 |\n| CFV | 21.06±2.72 | 76.50±1.32 | 80.08±1.13 |\n| FCR1-c+FCR2-c | 55.17±1.91 | 92.53±0.78 | 92.21±1.06 |\n| MLR+FCR2-c | 52.28±2.61 | 93.36±1.58 | 93.49±0.96 |\n| CFV+FCR2-c | 49.36±1.92 | 91.80±0.91 | 92.77±0.97 |\n| MLR+FCR1-c | 49.46±3.03 | 92.53±1.41 | 92.89±1.17 |\n| CFV+FCR1-c | 45.74±1.51 | 91.27±0.78 | 92.05±1.18 |\n| MLR+CFV | 36.15±3.72 | 90.79±1.00 | 90.20±1.22 |\n| MLR+CFV+FCR1-c | 45.21±3.43 | 92.98±1.19 | 93.29±1.45 |\n| MLR+CFV+FCR2-c | 49.33±3.53 | 93.18±1.16 | 93.57±1.40 |\n| CFV+FCR1-c+FCR2-c | 52.25±1.98 | 92.83±1.02 | 93.41±1.27 |\n| MLR+FCR1-c+FCR2-c | 54.29±2.96 | 93.66±1.51 | 93.98±0.95 |\n| MLR+CFV+FCR1-c+FCR2-c | 51.45±3.33 | 93.46±1.26 | 94.22±1.36 |",1]
["| Methods | A→W | D→W | W→D |\n| --- | --- | --- | --- |\n| GFK(PLS,PCA) | 15.0±0.4 | 44.6±0.3 | 49.7±0.5 |\n| SA | 15.3 | 50.1 | 56.9 |\n| DaNBNN | 23.3±2.7 | 67.2±1.9 | 67.4±3.0 |\n| DaNN | 35.0±0.2 | 70.5±0.0 | 74.3±0.0 |\n| Dlid | 26.1 | 68.9 | 84.9 |\n| Decaf | 52.20±1.70 | 91.50±1.50 | − |","| MLR+FCR2-c | 83.96±1.66 | 95.95±0.65 | 96.84±0.44 |\n| --- | --- | --- | --- |\n| CFV+FCR2-c | 83.93±1.94 | 95.21±1.07 | 95.85±0.75 |\n| MLR+FCR1-c | 82.74±1.37 | 95.78±0.54 | 96.74±0.64 |\n| CFV+FCR1-c | 82.56±1.79 | 94.62±0.97 | 96.05±0.82 |\n| MLR+CFV | 81.42±1.22 | 94.79±0.87 | 95.06±1.34 |\n| MLR+CFV+FCR1-c | 84.16±0.96 | 95.61±0.78 | 96.44±0.85 |\n| MLR+CFV+FCR2-c | 84.79±1.62 | 95.98±0.50 | 96.89±0.37 |\n| CFV+FCR1-c+FCR2-c | 83.50±2.06 | 95.24±0.64 | 96.54±0.84 |\n| MLR+FCR1-c+FCR2-c | 83.59±1.45 | 96.15±0.48 | 96.94±0.64 |\n| MLR+CFV+FCR1-c+FCR2-c | 84.64±1.57 | 95.95±0.54 | 97.14±0.37 |",0]
["| Method | FRGC4× | FRGC8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |\n| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |","| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",1]
["| Method | FRGC4× | FRGC8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |\n| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |","| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Method | FRGC4× | FRGC8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |","| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |\n| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 |",1]
["| Method | FRGC4× | FRGC8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |\n| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |\n| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |\n| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |\n| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |\n| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |","| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |","| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 0<br>s<br>1−s<br>0 |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 0<br>1<br>0<br>0 |",1]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |","| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 0<br>0<br>0<br>0 | 0<br>1<br>0<br>0 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | -1<br>-1<br>-1<br>-1 | 1<br>0<br>0<br>0 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |",0]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |","| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | -1<br>-1<br>-1<br>-1 | 0<br>1<br>0<br>0 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 1<br>1<br>1<br>1 | 0<br>s<br>1−s<br>0 |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 2<br>2<br>2<br>2 | 0<br>1<br>0<br>0 |",1]
["| s | si | sj | τ(s\\|s,s)3ij |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 0<br>0<br>0<br>0 | 0<br>0<br>0<br>0 | 0<br>s<br>1−s<br>0 |","| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 1<br>1<br>1<br>1 | 0<br>0<br>0<br>1 |\n| --- | --- | --- | --- |\n| -1<br>0<br>1<br>2 | 2<br>2<br>2<br>2 | 2<br>2<br>2<br>2 | 0<br>s<br>0<br>1−s |",0]
["| F1-score | @1 | @3 | @5 |\n| --- | --- | --- | --- |\n| TFIDF | 0.5 | 0.41 | 0.39 |","| LDA+TFIDF | 0.5 | 0.42 | 0.39 |\n| --- | --- | --- | --- |\n| TWDA | 0.57 | 0.5 | 0.47 |\n| TWDA+TFIDF | 0.58 | 0.5 | 0.47 |",1]
["| F1-score | @1 | @3 | @5 |\n| --- | --- | --- | --- |\n| TFIDF | 0.5 | 0.41 | 0.39 |","|  | precision | recall | F1-score | support |\n| --- | --- | --- | --- | --- |\n| negative | 0.63 | 0.50 | 0.56 | 493 |\n| neutral | 0.11 | 0.31 | 0.16 | 127 |\n| positive | 0.41 | 0.05 | 0.09 | 143 |\n| avg/total | 0.50 | 0.38 | 0.40 | 763 |",0]
["| F1-score | @1 | @3 | @5 |\n| --- | --- | --- | --- |\n| TFIDF | 0.5 | 0.41 | 0.39 |","| LDA+TFIDF | 0.5 | 0.42 | 0.39 |\n| --- | --- | --- | --- |\n| TWDA | 0.57 | 0.5 | 0.47 |\n| TWDA+TFIDF | 0.58 | 0.5 | 0.47 |",1]
["| F1-score | @1 | @3 | @5 |\n| --- | --- | --- | --- |\n| TFIDF | 0.5 | 0.41 | 0.39 |","| positive | 0.41 | 0.05 | 0.09 | 143 |\n| --- | --- | --- | --- | --- |\n| avg/total | 0.50 | 0.38 | 0.40 | 763 |",0]
["| TaskDom |  |\n| --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 |","| CoNLLtgt | 2.492.951.801.752.131.771.891.76 |\n| --- | --- |\n| PubMedtgt | 12.024.155.434.154.143.953.993.61 |\n| CNNtgt | 10.293.823.673.453.463.443.353.37 |\n| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 6.634.354.334.304.324.324.274.11<br>15.904.154.504.104.134.093.603.51<br>5.166.274.854.804.784.725.225.15<br>4.325.364.164.154.274.304.254.90<br>5.056.325.054.985.015.055.275.41<br>5.666.605.425.395.395.535.995.73<br>3.576.593.143.113.153.314.084.89<br>4.605.564.274.224.204.194.484.42<br>4.825.624.634.574.554.554.874.78<br>5.789.135.715.195.205.156.716.30 |\n| Treebank-brown | 6.355.754.804.754.814.724.724.65 |",1]
["| TaskDom |  |\n| --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 |","| TaskDom | #Tr#De#Te | #Ft |\n| --- | --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 52,9986,6256,626<br>38,0734,7594,761<br>44,3645,5465,547<br>35,8834,4854,487<br>35,0834,3854,387<br>39,6774,9604,961 | 80k<br>109k<br>113k<br>109k<br>96k<br>54k |\n| CoNLL-src<br>NERtgt | 256,145--<br>29,7915,2588,806 | 368k<br>88k |\n| PubMed-src<br>POStgt | 950,028--<br>11,2641,98714,554 | 571k<br>39k |\n| CNN-src<br>Recaptgt | 2,000,000--<br>39,6847,0038,075 | 368k<br>88k |\n| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 191,20929,45538,440<br>45,2825,59641,840<br>58,2018,3077,607<br>67,4299,4446,897<br>51,3796,0619,451<br>47,3825,1015,880<br>11,6961,3241,594<br>56,0576,7517,847<br>55,3187,4775,977<br>16,7422,5222,712 | 94k<br>55k<br>144k<br>149k<br>121k<br>95k<br>51k<br>115k<br>112k<br>65k |",0]
["| TaskDom |  |\n| --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 |\n| CoNLLtgt | 2.492.951.801.752.131.771.891.76 |\n| PubMedtgt | 12.024.155.434.154.143.953.993.61 |\n| CNNtgt | 10.293.823.673.453.463.443.353.37 |","| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 6.634.354.334.304.324.324.274.11<br>15.904.154.504.104.134.093.603.51<br>5.166.274.854.804.784.725.225.15<br>4.325.364.164.154.274.304.254.90<br>5.056.325.054.985.015.055.275.41<br>5.666.605.425.395.395.535.995.73<br>3.576.593.143.113.153.314.084.89<br>4.605.564.274.224.204.194.484.42<br>4.825.624.634.574.554.554.874.78<br>5.789.135.715.195.205.156.716.30 |\n| --- | --- |\n| Treebank-brown | 6.355.754.804.754.814.724.724.65 |",1]
["| TaskDom |  |\n| --- | --- |\n| bn<br>bc<br>ACE-nw<br>NERwl<br>un<br>cts | 4.982.372.292.232.112.212.061.98<br>4.544.073.553.533.894.013.473.47<br>4.783.713.863.653.563.793.683.39<br>2.452.452.122.122.452.332.412.12<br>3.672.462.482.402.182.102.031.91<br>2.080.460.400.400.460.440.340.32 |\n| CoNLLtgt | 2.492.951.801.752.131.771.891.76 |\n| PubMedtgt | 12.024.155.434.154.143.953.993.61 |\n| CNNtgt | 10.293.823.673.453.463.443.353.37 |","| CNN-src<br>Recaptgt | 2,000,000--<br>39,6847,0038,075 | 368k<br>88k |\n| --- | --- | --- |\n| wsj<br>swbd3<br>br-cf<br>Treebr-cg<br>bank-br-ck<br>Chunkbr-cl<br>br-cm<br>br-cn<br>br-cp<br>br-cr | 191,20929,45538,440<br>45,2825,59641,840<br>58,2018,3077,607<br>67,4299,4446,897<br>51,3796,0619,451<br>47,3825,1015,880<br>11,6961,3241,594<br>56,0576,7517,847<br>55,3187,4775,977<br>16,7422,5222,712 | 94k<br>55k<br>144k<br>149k<br>121k<br>95k<br>51k<br>115k<br>112k<br>65k |",0]
["| Precision | Recall | F-measure | MAE |\n| --- | --- | --- | --- |\n| 0.892 | 0.811 | 0.872 | 0.084 |\n| 0.852 | 0.746 | 0.825 | 0.132 |","| 0.912 | 0.740 | 0.865 | 0.107 |\n| --- | --- | --- | --- |\n| 0.873 | 0.730 | 0.836 | 0.129 |",1]
["| Precision | Recall | F-measure | MAE |\n| --- | --- | --- | --- |\n| 0.892 | 0.811 | 0.872 | 0.084 |\n| 0.852 | 0.746 | 0.825 | 0.132 |","|  | Precision | Recall | F-measure |\n| --- | --- | --- | --- |\n| Analysis1 | 0.71 | 0.5 | 0.59 |\n| Analysis2 | 1 | 0.6 | 0.75 |\n| Analysis3 | 1 | 0.5 | 0.67 |\n| Analysis4 | 0.7 | 0.3 | 0.42 |\n| Average | 0.85 | 0.48 | 0.61 |",0]
["| Precision | Recall | F-measure | MAE |\n| --- | --- | --- | --- |\n| 0.892 | 0.811 | 0.872 | 0.084 |","| 0.852 | 0.746 | 0.825 | 0.132 |\n| --- | --- | --- | --- |\n| 0.912 | 0.740 | 0.865 | 0.107 |\n| 0.873 | 0.730 | 0.836 | 0.129 |",1]
["| Precision | Recall | F-measure | MAE |\n| --- | --- | --- | --- |\n| 0.892 | 0.811 | 0.872 | 0.084 |","| Analysis4 | 0.7 | 0.3 | 0.42 |\n| --- | --- | --- | --- |\n| Average | 0.85 | 0.48 | 0.61 |",0]
["|  | MSTSpectralProposed |\n| --- | --- |\n| NonnegativeEdge-weights |  |","| SDQM:<br>CutIndex: | 0.01960.01780.1449<br>0.57180.61580.5721 |\n| --- | --- |\n| NegativeAndPositiveEdge-weights |  |\n| SDQM:<br>CutIndex: | 0.01620.01190.1555<br>0.57100.50470.6037 |",1]
["|  | MSTSpectralProposed |\n| --- | --- |\n| NonnegativeEdge-weights |  |","|  | DSTC2 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema |  |\n| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 |\n| LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 |\n| d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 |\n| hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 |",0]
["|  | MSTSpectralProposed |\n| --- | --- |\n| NonnegativeEdge-weights |  |","| SDQM:<br>CutIndex: | 0.01960.01780.1449<br>0.57180.61580.5721 |\n| --- | --- |\n| NegativeAndPositiveEdge-weights |  |\n| SDQM:<br>CutIndex: | 0.01620.01190.1555<br>0.57100.50470.6037 |",1]
["|  | MSTSpectralProposed |\n| --- | --- |\n| NonnegativeEdge-weights |  |","| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 |\n| LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 |\n| d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 |\n| hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 |",0]
["| Numbers | 5 | 25 |\n| --- | --- | --- |\n| Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 |","| Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 |\n| --- | --- | --- |\n| Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 |\n| Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 |\n| Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |",1]
["| Numbers | 5 | 25 |\n| --- | --- | --- |\n| Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 |","| Numbers | 5 | 50 | 80 |\n| --- | --- | --- | --- |\n| Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 |\n| Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 |\n| Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 |\n| Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 |\n| Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |",0]
["| Numbers | 5 | 25 |\n| --- | --- | --- |\n| Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 |\n| Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 |\n| Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 |","| Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 |\n| --- | --- | --- |\n| Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |",1]
["| Numbers | 5 | 25 |\n| --- | --- | --- |\n| Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 |\n| Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 |\n| Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 |","| Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 |\n| --- | --- | --- | --- |\n| Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |",0]
["|  |  |  |\n| --- | --- | --- |\n| Somali(som) |  |  |\n| Test | 95 | 10m |\n|  |  |  |\n| English(eng) |  |  |\n|  |  |  |\n| Luganda(lu) |  |  |","|  |  |  |\n| --- | --- | --- |\n| Acholi(ac) |  |  |\n|  |  |  |\n| English-isiZulu(ez) |  |  |\n|  |  |  |\n| English-isiXhosa(ex) |  |  |\n|  |  |  |\n| English-Setswana(et) |  |  |\n|  |  |  |\n| English-Sesotho(es) |  |  |\n|  |  |  |\n| TotalTrain | 56.3k | 58.55h |",1]
["|  |  |  |\n| --- | --- | --- |\n| Somali(som) |  |  |\n| Test | 95 | 10m |\n|  |  |  |\n| English(eng) |  |  |\n|  |  |  |\n| Luganda(lu) |  |  |","|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["|  |  |  |\n| --- | --- | --- |\n| Somali(som) |  |  |","| Test | 95 | 10m |\n| --- | --- | --- |\n|  |  |  |\n| English(eng) |  |  |\n|  |  |  |\n| Luganda(lu) |  |  |\n|  |  |  |\n| Acholi(ac) |  |  |\n|  |  |  |\n| English-isiZulu(ez) |  |  |\n|  |  |  |\n| English-isiXhosa(ex) |  |  |\n|  |  |  |\n| English-Setswana(et) |  |  |\n|  |  |  |\n| English-Sesotho(es) |  |  |\n|  |  |  |\n| TotalTrain | 56.3k | 58.55h |",1]
["|  |  |  |\n| --- | --- | --- |\n| Somali(som) |  |  |","| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| Threshold | Training | Testing | Overall |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| 0.4 | 78 | 47 | 74 | 47 | 119 | 73 |\n|  |  |  |  |  |  |  |\n| 0.42 | 58 | 35 | 46 | 30 | 79 | 51 |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.44 | 45 | 28 | 34 | 25 | 62 | 41 |\n|  |  |  |  |  |  |  |\n| 0.46 | 26 | 18 | 22 | 16 | 38 | 27 |\n|  |  |  |  |  |  |  |",1]
["| Threshold | Training | Testing | Overall |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| 0.4 | 78 | 47 | 74 | 47 | 119 | 73 |\n|  |  |  |  |  |  |  |\n| 0.42 | 58 | 35 | 46 | 30 | 79 | 51 |","|  | CNN | Dailymail |  |  |\n| --- | --- | --- | --- | --- |\n| #Training | Val | Test | Val | Test |\n| 10 | 35.2 | 41.6 | 45.7 | 43.6 |\n| 20 | 57.4 | 55.1 | 57.2 | 56.2 |\n| 30 | 56.7 | 60.2 | 61.4 | 60.3 |\n| 40 | 57 | 60 | 62.3 | 61.3 |\n| 50 | 60.3 | 63.1 | 63.5 | 62.5 |\n| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["| Threshold | Training | Testing | Overall |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| 0.4 | 78 | 47 | 74 | 47 | 119 | 73 |\n|  |  |  |  |  |  |  |\n| 0.42 | 58 | 35 | 46 | 30 | 79 | 51 |\n|  |  |  |  |  |  |  |\n| 0.44 | 45 | 28 | 34 | 25 | 62 | 41 |\n|  |  |  |  |  |  |  |","| 0.46 | 26 | 18 | 22 | 16 | 38 | 27 |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |",1]
["| Threshold | Training | Testing | Overall |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n| 0.4 | 78 | 47 | 74 | 47 | 119 | 73 |\n|  |  |  |  |  |  |  |\n| 0.42 | 58 | 35 | 46 | 30 | 79 | 51 |\n|  |  |  |  |  |  |  |\n| 0.44 | 45 | 28 | 34 | 25 | 62 | 41 |\n|  |  |  |  |  |  |  |","| 100 | 61.5 | 63.9 | 65.4 | 64.6 |\n| --- | --- | --- | --- | --- |\n| 200 | 62.5 | 64.9 | 67.3 | 65.2 |\n| 500 | 62.8 | 65 | 67.5 | 66.3 |\n| 1000 | 62.9 | 65.2 | 68.3 | 66.7 |\n| 2000 | 63.2 | 65.2 | 69.0 | 67.3 |\n| 5000 | 64.3 | 65.8 | 69.1 | 67.3 |",0]
["|  |  | ARCORIENTED |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |","| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 |\n| s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 |\n| s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |\n| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |\n| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |",1]
["|  |  | ARCORIENTED |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["|  |  | ARCORIENTED |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |","| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 |\n| s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 |\n| s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |\n| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |\n| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 |",1]
["|  |  | ARCORIENTED |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |","| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| --- | --- | --- | --- | --- | --- |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |\n| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |\n| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |","| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",1]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |\n| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |\n| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |","| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| N | M | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 0.8 | 1.50·10 | 3.33·10 | 1.5·10 | 3.79·10 |\n| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 |\n| 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 |\n| 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 |\n| 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 |\n| 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |",0]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |","| 200 | 100 | 0.6 | 0.4 | 3.38·10 | 2.91·10 | 4.83·10 | 1.89·10 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 200 | 200 | 0.3 | 0.2 | 4.15·10 | 1.57·10 | 1.11·10 | 2.67·10 |\n| 400 | 100 | 1.2 | 1.6 | 5.02·10 | 1.84·10 | 1.25·10 | 2.14·10 |\n| 400 | 200 | 0.6 | 0.8 | 1.30·10 | 1.16·10 | 3.21·10 | 4.79·10 |\n| 400 | 400 | 0.3 | 0.4 | 2.95·10 | 4.27·10 | 4.41·10 | 6.67·10 |",1]
["| Resolution | lrel.error(SL)2 | lrel.error(FFSL)2 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N | M | C | µ | I1 | I3 | R0 | R2 |\n| 200 | 50 | 1.2 | 0.8 | 1.21·10 | 3.77·10 | 2.67·10 | 6.46·10 |","| 200 | 100 | 0.4 | 1.45·10 | 2.91·10 | 1.45·10 | 2.02·10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 200 | 200 | 0.2 | 6.53·10 | 5.89·10 | 6.53·10 | 2.28·10 |\n| 400 | 100 | 1.6 | 6.53·10 | 1.92·10 | 6.53·10 | 1.78·10 |\n| 400 | 200 | 0.8 | 1.48·10 | 8.29·10 | 1.48·10 | 9.45·10 |\n| 400 | 400 | 0.4 | 1.43·10 | 7.43·10 | 1.43·10 | 5.03·10 |",0]
["| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 |\n| --- | --- | --- | --- | --- |\n| E(st)n | 5.17 | 5.36 | 22.94 | 22.25 |","| Var(st)n | 0.56 | 0.91 | 3.98 | 4.25 |\n| --- | --- | --- | --- | --- |\n| E(st)(cid:96) | 3.77 | 3.65 | 1.03 | 1.04 |\n| Var(st)(cid:96) | 4.68 | 9.92 | 0.97 | 0.97 |\n| E(hp)n | 1.29 | 1.18 | 11.81 | 13.04 |\n| Var(hp)n | 0.50 | 0.21 | 4.27 | 4.29 |\n| E(hp)(cid:96) | 7.16 | 5.55 | 0.47 | 0.51 |\n| Var(hp)(cid:96) | 6.85 | 13.38 | 0.70 | 0.74 |",1]
["| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 |\n| --- | --- | --- | --- | --- |\n| E(st)n | 5.17 | 5.36 | 22.94 | 22.25 |","| \\|V\\|(cid:101) | min(\\|V\\|)(cid:101) | max(\\|V\\|)(cid:101) | max(q)n | cn | Time(sec.) |\n| --- | --- | --- | --- | --- | --- |\n| 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 |\n| 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 |\n| 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |\n| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |\n| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |\n| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |\n| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |",0]
["| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 |\n| --- | --- | --- | --- | --- |\n| E(st)n | 5.17 | 5.36 | 22.94 | 22.25 |\n| Var(st)n | 0.56 | 0.91 | 3.98 | 4.25 |\n| E(st)(cid:96) | 3.77 | 3.65 | 1.03 | 1.04 |\n| Var(st)(cid:96) | 4.68 | 9.92 | 0.97 | 0.97 |\n| E(hp)n | 1.29 | 1.18 | 11.81 | 13.04 |","| Var(hp)n | 0.50 | 0.21 | 4.27 | 4.29 |\n| --- | --- | --- | --- | --- |\n| E(hp)(cid:96) | 7.16 | 5.55 | 0.47 | 0.51 |\n| Var(hp)(cid:96) | 6.85 | 13.38 | 0.70 | 0.74 |",1]
["| bp | InputSet<br>21.31 | Boltzmann<br>21.06 | Uniform,g=1<br>25.58 | Uniformg=0<br>25.05 |\n| --- | --- | --- | --- | --- |\n| E(st)n | 5.17 | 5.36 | 22.94 | 22.25 |\n| Var(st)n | 0.56 | 0.91 | 3.98 | 4.25 |\n| E(st)(cid:96) | 3.77 | 3.65 | 1.03 | 1.04 |\n| Var(st)(cid:96) | 4.68 | 9.92 | 0.97 | 0.97 |\n| E(hp)n | 1.29 | 1.18 | 11.81 | 13.04 |","| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |\n| --- | --- | --- | --- | --- | --- |\n| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |\n| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |\n| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |",0]
["| meanlog | impactfactor |  |  |\n| --- | --- | --- | --- |\n| score | journal | journal | score |","| 3.24 | IEEETPATTERNANAL | IEEETPATTERNANAL | 3.58 |\n| --- | --- | --- | --- |\n| 2.99 | IEEETIMAGEPROCESS | ARTIFINTELL | 3.01 |\n| 2.90 | NEURALCOMPUT | IEEETNEURALNETWOR | 2.77 |\n| 2.79 | IEEETNEURALNETWOR | IEEETIMAGEPROCESS | 2.46 |\n| 2.45 | ARTIFINTELL | NEURALCOMPUT | 2.33 |\n| 2.28 | IEEETINFORMTHEORY | IEEETINFORMTHEORY | 2.31 |\n| 2.23 | PATTERNRECOGN | IEEETCOMPUT | 1.68 |\n| 2.22 | COMMUNACM | COMMUNACM | 1.60 |\n| 2.10 | IEEETCOMPUT | FUZZYSETSYST | 1.37 |\n| 1.68 | FUZZYSETSYST | PATTERNRECOGN | 0.85 |",1]
["| meanlog | impactfactor |  |  |\n| --- | --- | --- | --- |\n| score | journal | journal | score |","|  | Noiseless | Noisy |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ratio | 0.05 | 0.1 | 0.2 | 0.3 | 0.05 | 0.1 | 0.2 | 0.3 |\n| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |\n| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |\n| D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 |\n| ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |\n| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |",0]
["| meanlog | impactfactor |  |  |\n| --- | --- | --- | --- |\n| score | journal | journal | score |\n| 3.24 | IEEETPATTERNANAL | IEEETPATTERNANAL | 3.58 |","| 2.99 | IEEETIMAGEPROCESS | ARTIFINTELL | 3.01 |\n| --- | --- | --- | --- |\n| 2.90 | NEURALCOMPUT | IEEETNEURALNETWOR | 2.77 |\n| 2.79 | IEEETNEURALNETWOR | IEEETIMAGEPROCESS | 2.46 |\n| 2.45 | ARTIFINTELL | NEURALCOMPUT | 2.33 |\n| 2.28 | IEEETINFORMTHEORY | IEEETINFORMTHEORY | 2.31 |\n| 2.23 | PATTERNRECOGN | IEEETCOMPUT | 1.68 |\n| 2.22 | COMMUNACM | COMMUNACM | 1.60 |\n| 2.10 | IEEETCOMPUT | FUZZYSETSYST | 1.37 |\n| 1.68 | FUZZYSETSYST | PATTERNRECOGN | 0.85 |",1]
["| meanlog | impactfactor |  |  |\n| --- | --- | --- | --- |\n| score | journal | journal | score |\n| 3.24 | IEEETPATTERNANAL | IEEETPATTERNANAL | 3.58 |","| TV | 24.09 | 26.00 | 28.46 | 30.45 | 21.96 | 22.95 | 24.17 | 25.16 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FCN-CS | 25.92 | 27.54 | 29.85 | 31.57 | 25.89 | 27.29 | 29.03 | 30.74 |\n| D-AMP | 25.48 | 27.66 | 30.65 | 33.12 | 22.63 | 23.72 | 24.95 | 25.81 |\n| ConvCSNet-baseline | 26.25 | 28.12 | 30.36 | 33.08 | 25.80 | 27.66 | 28.96 | 31.15 |\n| ConvCSNet | 26.47 | 28.19 | 31.03 | 33.49 | 26.22 | 28.09 | 29.63 | 32.25 |",0]
["|  | Head | Torso | Legs |\n| --- | --- | --- | --- |\n| Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 |\n| Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 |\n| Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |","| Dog | 67.7/75.0 | 51.7/57.9 | 29.7/44.9 |\n| --- | --- | --- | --- |\n| Horse | 52.0/66.8 | 71.2/92.5 | 37.7/82.5 |\n| Sheep | 24.9/70.6 | 79.2/88.6 | 16.1/80.3 |",1]
["|  | Head | Torso | Legs |\n| --- | --- | --- | --- |\n| Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 |\n| Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 |\n| Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |","|  | cat | chair | cow | diningtable | dog | horse | motorbike |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | 75.0 | 24.5 | 62.0 | 35.0 | 66.1 | 58.8 | 75.6 |\n| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["|  | Head | Torso | Legs |\n| --- | --- | --- | --- |\n| Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 |\n| Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 |\n| Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |","| Dog | 67.7/75.0 | 51.7/57.9 | 29.7/44.9 |\n| --- | --- | --- | --- |\n| Horse | 52.0/66.8 | 71.2/92.5 | 37.7/82.5 |\n| Sheep | 24.9/70.6 | 79.2/88.6 | 16.1/80.3 |",1]
["|  | Head | Torso | Legs |\n| --- | --- | --- | --- |\n| Bird | 27.0/61.8 | 62.9/83.2 | 2.4/18.2 |\n| Cat | 73.5/77.3 | 67.1/71.4 | 18.5/28.1 |\n| Cow | 36.1/88.9 | 64.2/89.2 | 19.7/92.6 |","| RGB+dist | 78.1 | 24.5 | 69.2 | 36.6 | 69.8 | 65.2 | 77.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB+coord | 77.0 | 26.6 | 64.0 | 35.9 | 67.5 | 61.6 | 75.7 |\n| RGB+dist+coord | 78.9 | 23.8 | 64.4 | 36.8 | 70.0 | 63.4 | 75.2 |",0]
["|  | Recipe | Clinical |  |  |\n| --- | --- | --- | --- | --- |\n| Factor | weight | p-value | weight | p-value |\n| ExplanationLength(V1) | -0.0116 | 0.00367 | -0.0171 | 0.000127 |\n| NumberofOutputTerms(V1) | -0.0161 | 0.0629 | 0.00685 | 0.48 |\n| NumberofCognitiveChunks(V2) | 0.0221 | 0.0377 | 0.0427 | 0.00044 |","| ImplicitCognitiveChunks(V2) | 0.0147 | 0.625 | 0.0251 | 0.464 |\n| --- | --- | --- | --- | --- |\n| NumberofVariableRepetitions(V3) | -0.017 | 0.104 | -0.0225 | 0.0506 |",1]
["|  | Recipe | Clinical |  |  |\n| --- | --- | --- | --- | --- |\n| Factor | weight | p-value | weight | p-value |\n| ExplanationLength(V1) | -0.0116 | 0.00367 | -0.0171 | 0.000127 |\n| NumberofOutputTerms(V1) | -0.0161 | 0.0629 | 0.00685 | 0.48 |\n| NumberofCognitiveChunks(V2) | 0.0221 | 0.0377 | 0.0427 | 0.00044 |","|  | Original | V1 | V1Fine | V2 | V2Fine |\n| --- | --- | --- | --- | --- | --- |\n| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |\n| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |\n| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |\n| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |\n| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |\n| Presentation | 87.06 | N/A | N/A | N/A | N/A |\n| Dogs | 66.09 | N/A | N/A | N/A | N/A |\n| Resting | 45.45 | N/A | N/A | N/A | N/A |\n| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |\n| Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |\n| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |\n| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |\n| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |\n| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |\n| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |\n| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |\n| Biking | 81.88 | N/A | N/A | N/A | N/A |\n| Walking | N/A | 0.0 | 57.14 | N/A | N/A |\n| Family | 90.15 | N/A | N/A | N/A | N/A |\n| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |\n| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |\n| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 |",0]
["|  | Recipe | Clinical |  |  |\n| --- | --- | --- | --- | --- |\n| Factor | weight | p-value | weight | p-value |","| ExplanationLength(V1) | -0.0116 | 0.00367 | -0.0171 | 0.000127 |\n| --- | --- | --- | --- | --- |\n| NumberofOutputTerms(V1) | -0.0161 | 0.0629 | 0.00685 | 0.48 |\n| NumberofCognitiveChunks(V2) | 0.0221 | 0.0377 | 0.0427 | 0.00044 |\n| ImplicitCognitiveChunks(V2) | 0.0147 | 0.625 | 0.0251 | 0.464 |\n| NumberofVariableRepetitions(V3) | -0.017 | 0.104 | -0.0225 | 0.0506 |",1]
["|  | Recipe | Clinical |  |  |\n| --- | --- | --- | --- | --- |\n| Factor | weight | p-value | weight | p-value |","| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |\n| --- | --- | --- | --- | --- | --- |\n| Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |\n| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |\n| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |\n| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |\n| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |\n| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |\n| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |\n| Biking | 81.88 | N/A | N/A | N/A | N/A |\n| Walking | N/A | 0.0 | 57.14 | N/A | N/A |\n| Family | 90.15 | N/A | N/A | N/A | N/A |\n| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |\n| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |\n| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 |",0]
["|  | L1dline | DRAMpage | VMpage | VMsuperpage |\n| --- | --- | --- | --- | --- |\n| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |\n| BFS | 0.36 | 0.43 | 0.26 | 0.07 |\n| DFS | 0.33 | 0.23 | 0.19 | 0.11 |","| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| --- | --- | --- | --- | --- |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",1]
["|  | L1dline | DRAMpage | VMpage | VMsuperpage |\n| --- | --- | --- | --- | --- |\n| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |\n| BFS | 0.36 | 0.43 | 0.26 | 0.07 |\n| DFS | 0.33 | 0.23 | 0.19 | 0.11 |","|  | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |\n| --- | --- | --- | --- | --- | --- |\n| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |\n| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |\n| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |\n| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |\n| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |\n| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["|  | L1dline | DRAMpage | VMpage | VMsuperpage |\n| --- | --- | --- | --- | --- |\n| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |","| BFS | 0.36 | 0.43 | 0.26 | 0.07 |\n| --- | --- | --- | --- | --- |\n| DFS | 0.33 | 0.23 | 0.19 | 0.11 |\n| VEB | 0.24 | 0.15 | 0.05 | 0.02 |\n| 64 | 0.25 | 0.19 | 0.10 | 0.03 |\n| 1K | 0.31 | 0.19 | 0.07 | 0.02 |\n| 4K | 0.32 | 0.25 | 0.07 | 0.02 |\n| 2M | 0.33 | 0.34 | 0.14 | 0.02 |\n| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 |",1]
["|  | L1dline | DRAMpage | VMpage | VMsuperpage |\n| --- | --- | --- | --- | --- |\n| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |","| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |\n| --- | --- | --- | --- | --- | --- |\n| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |\n| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |\n| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 |",0]
["| Datasets | fastgreedy | Louvain |\n| --- | --- | --- |\n| Barabasi | 284.411 | 243.816 |\n| Facebook | 297.251 | 361.060 |","| Nexus5 | 340.795 | 431.477 |\n| --- | --- | --- |\n| Nexus15 | 503.183 | 495.810 |",1]
["| Datasets | fastgreedy | Louvain |\n| --- | --- | --- |\n| Barabasi | 284.411 | 243.816 |\n| Facebook | 297.251 | 361.060 |","| Dataset | Available | people | images |\n| --- | --- | --- | --- |\n| IJB-A | public | 500 | 5712 |\n| LFW | public | 5K | 13K |\n| YFD | public | 1595 | 3425videos |\n| CelebFaces | public | 10K | 202K |\n| CASIA-WebFace | public | 10K | 500K |\n| Ours | public | 100K | about10M |\n| Facebook | private | 4K | 4400K |\n| Google | private | 8M | 100-200M |",0]
["| Datasets | fastgreedy | Louvain |\n| --- | --- | --- |\n| Barabasi | 284.411 | 243.816 |\n| Facebook | 297.251 | 361.060 |","| Nexus5 | 340.795 | 431.477 |\n| --- | --- | --- |\n| Nexus15 | 503.183 | 495.810 |",1]
["| Datasets | fastgreedy | Louvain |\n| --- | --- | --- |\n| Barabasi | 284.411 | 243.816 |\n| Facebook | 297.251 | 361.060 |","| YFD | public | 1595 | 3425videos |\n| --- | --- | --- | --- |\n| CelebFaces | public | 10K | 202K |\n| CASIA-WebFace | public | 10K | 500K |\n| Ours | public | 100K | about10M |\n| Facebook | private | 4K | 4400K |\n| Google | private | 8M | 100-200M |",0]
["| n | ρ |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |","| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |",1]
["| n | ρ |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |","| ρ |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",0]
["| n | ρ |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |","| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |",1]
["| n | ρ |\n| --- | --- |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |\n| 10,000<br>30,000 | 0<br>0.3<br>0<br>0.3 |","| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |\n| --- |\n| 0,10000<br>0.3,30000<br>0,30000<br>0.3,10000 |",0]
["| PASCALVOC | COCO |\n| --- | --- |\n| aeroplane | airplane |\n| bike | bicycle |\n| bird | bird |\n| boat | boat |\n| bottle | bottle |\n| bus | bus |\n| car | car |\n| cat | cat |\n| chair | chair |\n| cow | cow |\n| diningtable | diningtable |\n| dog | dog |","| horse | horse |\n| --- | --- |\n| motorbike | motorcycle |\n| person | person |\n| pottedplant | pottedplant |\n| sheep | sheep |\n| sofa | couch |\n| train | train |\n| tv | tv |",1]
["| PASCALVOC | COCO |\n| --- | --- |\n| aeroplane | airplane |\n| bike | bicycle |\n| bird | bird |\n| boat | boat |\n| bottle | bottle |\n| bus | bus |\n| car | car |\n| cat | cat |\n| chair | chair |\n| cow | cow |\n| diningtable | diningtable |\n| dog | dog |","| PASCALVOC<br>(20classes) | ClosestILSVRC-DETclass<br>(200classestotal) | Averageobjectscale | RCNNAP |\n| --- | --- | --- | --- |\n| PASCAL | ILSVRC | PASCAL | ILSVRC |\n| aeroplane | airplane | 0.28 | 0.47 |\n| bicycle | bicycle | 0.29 | 0.46 |\n| bird | bird |  |  |\n| boat | watercraft |  |  |\n| bottle | winebottle(orwaterbottle) |  |  |\n| bus | bus |  |  |\n| car | car |  |  |\n| cat | domesticcat |  |  |\n| chair | chair |  |  |\n| cow | cattle |  |  |\n| diningtable | table |  |  |\n| dog | dog |  |  |\n| horse | horse |  |  |\n| motorbike | motorcyle |  |  |\n| person | person |  |  |\n| pottedplant | ﬂowerpot |  |  |\n| sheep | sheep |  |  |\n| sofa | sofa |  |  |\n| train | train |  |  |\n| tv/monitor | tvormonitor |  |  |",0]
["| PASCALVOC | COCO |\n| --- | --- |\n| aeroplane | airplane |\n| bike | bicycle |\n| bird | bird |\n| boat | boat |\n| bottle | bottle |\n| bus | bus |\n| car | car |\n| cat | cat |\n| chair | chair |\n| cow | cow |\n| diningtable | diningtable |\n| dog | dog |\n| horse | horse |\n| motorbike | motorcycle |\n| person | person |\n| pottedplant | pottedplant |\n| sheep | sheep |\n| sofa | couch |","| train | train |\n| --- | --- |\n| tv | tv |",1]
["| PASCALVOC | COCO |\n| --- | --- |\n| aeroplane | airplane |\n| bike | bicycle |\n| bird | bird |\n| boat | boat |\n| bottle | bottle |\n| bus | bus |\n| car | car |\n| cat | cat |\n| chair | chair |\n| cow | cow |\n| diningtable | diningtable |\n| dog | dog |\n| horse | horse |\n| motorbike | motorcycle |\n| person | person |\n| pottedplant | pottedplant |\n| sheep | sheep |\n| sofa | couch |","| sheep | sheep |\n| --- | --- |\n| sofa | sofa |\n| train | train |\n| tv/monitor | tvormonitor |",0]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |","| no-distant | 0.70 | 0.65 | 0.674 |\n| --- | --- | --- | --- |\n| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| rule | 0.80 | 0.30 | 0.436 |",1]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |","| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |\n| no-distant | 0.70 | 0.65 | 0.674 |\n| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| rule | 0.80 | 0.30 | 0.436 |",0]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |","| no-distant | 0.70 | 0.65 | 0.674 |\n| --- | --- | --- | --- |\n| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| rule | 0.80 | 0.30 | 0.436 |",1]
["| Model | Pre | Rec | F1 |\n| --- | --- | --- | --- |\n| semi+distant | 0.73 | 0.64 | 0.682 |","| no-distant | 0.70 | 0.65 | 0.674 |\n| --- | --- | --- | --- |\n| one-step(CRF) | 0.67 | 0.64 | 0.655 |\n| rule | 0.80 | 0.30 | 0.436 |",0]
["| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |\n| --- | --- | --- | --- | --- | --- |\n| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 |\n| WSABIE | Y | 71.28 | 72.08 | 66.22 |  |\n| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 |  |\n| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 |  |","| Proto-HLE | Y<br>N | 71.97<br>74.54 | 72.89<br>74.38 | 67.05<br>69.46 |  |\n| --- | --- | --- | --- | --- | --- |\n| OntoNotes | FIGER<br>HYENA | NA | 58.77<br>47.63 | 52.37<br>43.97 | 38.01<br>26.56 |\n| WSABIE | Y | 62.03 | 55.83 | 43.61 |  |\n| HLE | Y<br>N | 61.54<br>59.52 | 49.16<br>54.01 | 43.25<br>41.60 |  |\n| ProtoLE | Y<br>N | 60.90<br>65.91 | 54.68<br>59.08 | 42.82<br>46.94 |  |\n| Proto-HLE | Y<br>N | 62.71<br>68.23 | 56.64<br>61.27 | 44.81<br>49.30 |  |\n| Wiki | FIGER<br>HYENA | NA | 68.28<br>45.51 | 64.71<br>43.80 | 47.37<br>30.67 |\n| WSABIE | Y | 67.97 | 64.49 | 48.28 |  |\n| HLE | Y<br>N | 67.09<br>65.29 | 65.65<br>62.53 | 47.01<br>45.19 |  |\n| ProtoLE | Y<br>N | 66.96<br>68.06 | 65.78<br>66.53 | 49.18<br>53.54 |  |\n| Proto-HLE | Y<br>N | 67.85<br>66.61 | 65.74<br>65.29 | 50.27<br>50.45 |  |",1]
["| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |\n| --- | --- | --- | --- | --- | --- |\n| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 |\n| WSABIE | Y | 71.28 | 72.08 | 66.22 |  |\n| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 |  |\n| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 |  |","| Method | Adapt | BBN |  |  |\n| --- | --- | --- | --- | --- |\n| Ma-F1 | Mi-F1 | Acc. |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |\n|  |  | OntoNotes |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |\n|  |  | Wiki |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 |",0]
["| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |\n| --- | --- | --- | --- | --- | --- |\n| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 |","| WSABIE | Y | 71.28 | 72.08 | 66.22 |  |\n| --- | --- | --- | --- | --- | --- |\n| HLE | Y<br>N | 70.84<br>68.86 | 71.61<br>70.00 | 65.74<br>63.32 |  |\n| ProtoLE | Y<br>N | 72.67<br>75.78 | 73.54<br>76.50 | 67.58<br>70.43 |  |\n| Proto-HLE | Y<br>N | 71.97<br>74.54 | 72.89<br>74.38 | 67.05<br>69.46 |  |\n| OntoNotes | FIGER<br>HYENA | NA | 58.77<br>47.63 | 52.37<br>43.97 | 38.01<br>26.56 |\n| WSABIE | Y | 62.03 | 55.83 | 43.61 |  |\n| HLE | Y<br>N | 61.54<br>59.52 | 49.16<br>54.01 | 43.25<br>41.60 |  |\n| ProtoLE | Y<br>N | 60.90<br>65.91 | 54.68<br>59.08 | 42.82<br>46.94 |  |\n| Proto-HLE | Y<br>N | 62.71<br>68.23 | 56.64<br>61.27 | 44.81<br>49.30 |  |\n| Wiki | FIGER<br>HYENA | NA | 68.28<br>45.51 | 64.71<br>43.80 | 47.37<br>30.67 |\n| WSABIE | Y | 67.97 | 64.49 | 48.28 |  |\n| HLE | Y<br>N | 67.09<br>65.29 | 65.65<br>62.53 | 47.01<br>45.19 |  |\n| ProtoLE | Y<br>N | 66.96<br>68.06 | 65.78<br>66.53 | 49.18<br>53.54 |  |\n| Proto-HLE | Y<br>N | 67.85<br>66.61 | 65.74<br>65.29 | 50.27<br>50.45 |  |",1]
["| Dataset | Method | Adaptive | MacroF1 | MicroF1 | Acc. |\n| --- | --- | --- | --- | --- | --- |\n| BBN | FIGER<br>HYENA | NA | 67.28<br>51.38 | 60.70<br>52.85 | 46.92<br>45.01 |","|  |  | OntoNotes |  |  |\n| --- | --- | --- | --- | --- |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |\n|  |  | Wiki |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 |",0]
["| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |","| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |\n| --- | --- | --- | --- | --- |\n| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",1]
["| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |","| cut |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | F1 | P | R |\n| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |\n| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |\n| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |\n| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |\n| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |\n| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |\n| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",0]
["| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |\n| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |","| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| --- | --- | --- | --- | --- |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",1]
["| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |\n| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |","| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |\n| --- | --- | --- | --- | --- |\n| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 |",0]
["| ModelSearchR@10AnnotationR@10 |\n| --- |\n| Socheretal.28.629.0 |","| Karpathy42.544.0 |\n| --- |\n| Text+wordvec49.056.7 |\n| SpectrogramCNN17.924.3 |",1]
["| ModelSearchR@10AnnotationR@10 |\n| --- |\n| Socheretal.28.629.0 |","| Name | Description |\n| --- | --- |\n| NRM-glo | Theneuralmodelbyusingthe<br>lasthiddenstatehasthecon-T<br>textinput. |\n| NRM-loc | Theneuralmodelbyusingthe<br>weightedsumofhiddenstates<br>asthecontextinput |\n| NRM-hyb | Theneuralmodelbyusingthe<br>hybridoftheencodersofNR-<br>gloloc<br>MandNRM |\n| IR-l2r | IR-basedmethodwithfourteen<br>diﬀerentfeaturesandlearned<br>bylearningtorank |\n| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |",0]
["| ModelSearchR@10AnnotationR@10 |\n| --- |\n| Socheretal.28.629.0 |","| Karpathy42.544.0 |\n| --- |\n| Text+wordvec49.056.7 |\n| SpectrogramCNN17.924.3 |",1]
["| ModelSearchR@10AnnotationR@10 |\n| --- |\n| Socheretal.28.629.0 |","| IR-l2r | IR-basedmethodwithfourteen<br>diﬀerentfeaturesandlearned<br>bylearningtorank |\n| --- | --- |\n| SMT | Statisticalmachinetranslation<br>modelbyusingtheMoseswith<br>defaultsettings. |",0]
["| Method | H3DTestSet |  |  |\n| --- | --- | --- | --- |\n|  | First | Best | Poolsize |\n| CPMC | 0.54 | 0.72 | 783 |\n| CPDC-MAF | 0.60 | 0.72 | 77 |\n| CPDC-MAF-POSELETS | 0.53 | 0.6 | 98 |\n|  | MPIITestSet |  |  |","|  | First | Best | Poolsize |\n| --- | --- | --- | --- |\n| CPMC | 0.29 | 0.73 | 686 |\n| CPDC-MAF | 0.55 | 0.71 | 102 |\n| CPDC-MAF-POSELETS | 0.43 | 0.58 | 114 |",1]
["| Method | H3DTestSet |  |  |\n| --- | --- | --- | --- |\n|  | First | Best | Poolsize |\n| CPMC | 0.54 | 0.72 | 783 |\n| CPDC-MAF | 0.60 | 0.72 | 77 |\n| CPDC-MAF-POSELETS | 0.53 | 0.6 | 98 |\n|  | MPIITestSet |  |  |","| Method | LPBA40 | OASIS | Fetal |\n| --- | --- | --- | --- |\n| Auto-U-net | 10.03 | 22.85 | 14.11 |\n| U-net | 4.57 | 11.36 | 6.87 |\n| Auto-2.5D-CNN | 794.42 | 641.26 | 501.73 |\n| 2.5D-CNN | 396.23 | 320.12 | 244.9 |\n| PCNN | 36.51 | 40.99 | - |\n| BET | 2.04 | 1.96 | 1.62 |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |\n| Robex | 52.10 | 63.25 | - |\n| HWA | 18.73 | 13.42 | - |",0]
["| Method | H3DTestSet |  |  |\n| --- | --- | --- | --- |\n|  | First | Best | Poolsize |\n| CPMC | 0.54 | 0.72 | 783 |","| CPDC-MAF | 0.60 | 0.72 | 77 |\n| --- | --- | --- | --- |\n| CPDC-MAF-POSELETS | 0.53 | 0.6 | 98 |\n|  | MPIITestSet |  |  |\n|  | First | Best | Poolsize |\n| CPMC | 0.29 | 0.73 | 686 |\n| CPDC-MAF | 0.55 | 0.71 | 102 |\n| CPDC-MAF-POSELETS | 0.43 | 0.58 | 114 |",1]
["| Method | H3DTestSet |  |  |\n| --- | --- | --- | --- |\n|  | First | Best | Poolsize |\n| CPMC | 0.54 | 0.72 | 783 |","| BET | 2.04 | 1.96 | 1.62 |\n| --- | --- | --- | --- |\n| 3dSkullStrip | 130.4 | 119.12 | 82.72 |\n| Robex | 52.10 | 63.25 | - |\n| HWA | 18.73 | 13.42 | - |",0]
["| Model | M1,AGMIC | M2,AGMIC |\n| --- | --- | --- |\n| Task | 1/0,20/2 | 0/1,21/2 |\n| PR | 0.9820.51 | 0.80.77 |","| RE | 10.53 | 0.810.87 |\n| --- | --- | --- |\n| Acc | 0.9820.61 | 0.720.73 |\n| AUC | 0.830.574 | 0.780.67 |",1]
["| Model | M1,AGMIC | M2,AGMIC |\n| --- | --- | --- |\n| Task | 1/0,20/2 | 0/1,21/2 |\n| PR | 0.9820.51 | 0.80.77 |","| Model | KL-weight | Acc4 | Acc2 |\n| --- | --- | --- | --- |\n| Ours | 1 | 0.83 | 0.71 |\n| Ours | 2 | 0.88 | 0.64 |\n| Ours | 4 | 0.82 | 0.69 |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["| Model | M1,AGMIC | M2,AGMIC |\n| --- | --- | --- |\n| Task | 1/0,20/2 | 0/1,21/2 |\n| PR | 0.9820.51 | 0.80.77 |","| RE | 10.53 | 0.810.87 |\n| --- | --- | --- |\n| Acc | 0.9820.61 | 0.720.73 |\n| AUC | 0.830.574 | 0.780.67 |",1]
["| Model | M1,AGMIC | M2,AGMIC |\n| --- | --- | --- |\n| Task | 1/0,20/2 | 0/1,21/2 |\n| PR | 0.9820.51 | 0.80.77 |","| Ours | 4 | 0.82 | 0.69 |\n| --- | --- | --- | --- |\n| Slow | 1 | 0.58 | 0.11 |\n| Slow | 2 | 0.65 | 0.12 |\n| Slow | 4 | 0.66 | 0.13 |\n| VAE | 1 | 0.80 | 0.13 |\n| VAE | 2 | 0.52 | 0.12 |\n| VAE | 4 | 0.51 | 0.13 |",0]
["|  | BattleCity | µRTS-Melee | µRTS-Full |\n| --- | --- | --- | --- |\n| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s |\n| Branching | 2-10 | 4-600 | 4-76560 |","| MaxLeaves | 248400 | 150525 | 207015 |\n| --- | --- | --- | --- |\n| MaxDepth | 1.44s | 7.20s | 4.90s |",1]
["|  | BattleCity | µRTS-Melee | µRTS-Full |\n| --- | --- | --- | --- |\n| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s |\n| Branching | 2-10 | 4-600 | 4-76560 |","| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |\n| --- | --- | --- | --- | --- | --- |\n| CW | 99min | 102min | 121min | 155min | 190min |\n| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |\n| CC | 95min | 123min | 132min | 141min | 151min |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",0]
["|  | BattleCity | µRTS-Melee | µRTS-Full |\n| --- | --- | --- | --- |\n| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s |","| Branching | 2-10 | 4-600 | 4-76560 |\n| --- | --- | --- | --- |\n| MaxLeaves | 248400 | 150525 | 207015 |\n| MaxDepth | 1.44s | 7.20s | 4.90s |",1]
["|  | BattleCity | µRTS-Melee | µRTS-Full |\n| --- | --- | --- | --- |\n| SearchTime | 10-80ms | 100ms-1.2s | 100ms-1s |","| CC | 95min | 123min | 132min | 141min | 151min |\n| --- | --- | --- | --- | --- | --- |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",0]
["| Reference | Det./Rand. | Space | GraphG | RunningTime |\n| --- | --- | --- | --- | --- |\n| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |\n| Gutinal. | det | exp | Directed | O(2) |\n| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |\n| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |\n| Fominetal. | det | poly | Undirected | O(8) |","| Shachnaietal. | det | exp | Directed | O(6.855) |\n| --- | --- | --- | --- | --- |\n| Daligault,Zehavi | rand | poly | Directed | O(4) |\n| Lietal. | det | poly | Undirected | O(4) |\n| Zehavi | det<br>rand | exp<br>exp | Directed<br>Directed | O(5.139)<br>∗k<br>O(3.617) |\n| Thispaper | rand | poly | Undirected | O(3.455) |",1]
["| Reference | Det./Rand. | Space | GraphG | RunningTime |\n| --- | --- | --- | --- | --- |\n| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |\n| Gutinal. | det | exp | Directed | O(2) |\n| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |\n| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |\n| Fominetal. | det | poly | Undirected | O(8) |","| Reference | Randomized\\Deterministic | Variation | RunningTime |\n| --- | --- | --- | --- |\n| Chenetal. | D | (3,p)-SP | ∗O(p)<br>O(p) |\n| Downeyetal. | D | (3,p)-WSP | O(p) |\n| Fellowsetal. | D | (3,p)-WSP | O(2) |\n| Liuetal. | D | (3,p)-WSP | O(2,0097.152) |\n| Koutis | D<br>R | (3,p)-SP<br>(3,p)-SP | O(2)<br>∗p<br>O(1,285.475) |\n| Wangetal. | D | (3,p)-WSP | O(432.082) |\n| Chenetal. | D | (3,p)-DM | O(21.907) |\n| Liuetal. | D<br>D<br>R | (3,p)-SP<br>(3,p)-DM<br>(3,p)-DM | O(97.973)<br>∗p<br>O(21.254)<br>∗p<br>O(12.488) |\n| Chenetal. | D<br>R | (3,p)-WSP<br>(3,p)-WSP | O(64)<br>∗p+o(p)<br>O(16) |\n| Wangetal. | D | (3,p)-SP | O(43.615) |\n| Chenetal. | D<br>D | (3,p)-WSP<br>(3,p)-WDM | O(32)<br>∗p+o(p)<br>O(16) |\n| Koutis | R | (3,p)-SP | O(8) |\n| Koutisetal. | R | (3,p)-DM | O(4) |\n| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |\n| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) |",0]
["| Reference | Det./Rand. | Space | GraphG | RunningTime |\n| --- | --- | --- | --- | --- |\n| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |\n| Gutinal. | det | exp | Directed | O(2) |\n| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |\n| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |\n| Fominetal. | det | poly | Undirected | O(8) |\n| Shachnaietal. | det | exp | Directed | O(6.855) |\n| Daligault,Zehavi | rand | poly | Directed | O(4) |","| Lietal. | det | poly | Undirected | O(4) |\n| --- | --- | --- | --- | --- |\n| Zehavi | det<br>rand | exp<br>exp | Directed<br>Directed | O(5.139)<br>∗k<br>O(3.617) |\n| Thispaper | rand | poly | Undirected | O(3.455) |",1]
["| Reference | Det./Rand. | Space | GraphG | RunningTime |\n| --- | --- | --- | --- | --- |\n| Prietoetal. | det | poly | Undirected | ∗O(klogk)<br>O(2) |\n| Gutinal. | det | exp | Directed | O(2) |\n| Cohenetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(55.8)<br>∗k<br>O(49.4) |\n| Fominetal. | det<br>rand | exp<br>poly | Directed<br>Directed | O(16)<br>∗k+o(k)<br>O(16) |\n| Fominetal. | det | poly | Undirected | O(8) |\n| Shachnaietal. | det | exp | Directed | O(6.855) |\n| Daligault,Zehavi | rand | poly | Directed | O(4) |","| Koutis | R | (3,p)-SP | O(8) |\n| --- | --- | --- | --- |\n| Koutisetal. | R | (3,p)-DM | O(4) |\n| Bj¨orklundetal. | R<br>R | (3,p)-SP<br>(3,p)-DM | O(3.344)<br>∗p<br>O(2) |\n| Thispaper | D<br>D<br>D | (3,p)-WSP<br>(3,p)-WDM<br>(3,p)-DM | O(12.155)<br>∗p<br>O(8.125)<br>∗p<br>O(8.042) |",0]
["| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |","| MT+LSTM | TranslatedALL | 0.541 |\n| --- | --- | --- |\n| Parameter-sharingLSTM | ALL | 0.542 |\n| Average | – | 0.581 |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",1]
["| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |","| Dataset | Electro. | Clothe. |\n| --- | --- | --- |\n| BPR | 0.7982 | 0.7061 |\n| Bi-LSTM | 0.8757 | 0.7869 |\n| Bi-LSTM+Attention | 0.8769 | 0.7835 |\n| CNN+MaxPooling | 0.8804 | 0.7786 |\n| ATRank | 0.8921 | 0.7905 |",0]
["| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |\n| MT+LSTM | TranslatedALL | 0.541 |\n| Parameter-sharingLSTM | ALL | 0.542 |","| Average | – | 0.581 |\n| --- | --- | --- |\n| CNN<br>CNN<br>CNN | EN<br>JA<br>ZH | 0.578<br>0.610<br>0.553 |\n| MT+CNN | TranslatedALL | 0.564 |\n| Parameter-sharingCNN | ALL | 0.573 |",1]
["| Model | Dataset | Accuracy |\n| --- | --- | --- |\n| Average | – | 0.544 |\n| LSTM<br>LSTM<br>LSTM | EN<br>JA<br>ZH | 0.531<br>0.569<br>0.532 |\n| MT+LSTM | TranslatedALL | 0.541 |\n| Parameter-sharingLSTM | ALL | 0.542 |","| Bi-LSTM+Attention | 0.8769 | 0.7835 |\n| --- | --- | --- |\n| CNN+MaxPooling | 0.8804 | 0.7786 |\n| ATRank | 0.8921 | 0.7905 |",0]
["| Algorithm | Complexity |\n| --- | --- |\n| SquareMaxvol | 2<br>O(mL) |","| RectangularMaxvol | O(mL) |\n| --- | --- |\n| GreedyExtend | O(mnL) |\n| BackwardGreedy | O(mf) |",1]
["| Algorithm | Complexity |\n| --- | --- |\n| SquareMaxvol | 2<br>O(mL) |","| Algorithm | Additions | Multiplications |\n| --- | --- | --- |\n| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |\n| IDMCG | 2M+10M−4 | 3M+12M+3 |\n| IncrementalLMS | 4M−1 | 3M+1 |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",0]
["| Algorithm | Complexity |\n| --- | --- |\n| SquareMaxvol | 2<br>O(mL) |\n| RectangularMaxvol | O(mL) |","| GreedyExtend | O(mnL) |\n| --- | --- |\n| BackwardGreedy | O(mf) |",1]
["| Algorithm | Complexity |\n| --- | --- |\n| SquareMaxvol | 2<br>O(mL) |\n| RectangularMaxvol | O(mL) |","| IncrementalLMS | 4M−1 | 3M+1 |\n| --- | --- | --- |\n| IncrementalRLS | 4M+12M+1 | 4M+12M−1 |",0]
["| Function | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Mutualinfo | 2817 | 68.9 |","| Syntacticrulecost | 2913 | 71.2 |\n| --- | --- | --- |\n| L’hoodratio | 3120 | 76.3 |\n| χ | 3339 | 81.6 |\n| χ | 3407 | 83.3 |\n| Meandistance | 3670 | 89.7 |",1]
["| Function | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Mutualinfo | 2817 | 68.9 |","| Scalingfactorset | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Normalized | 3549 | 86.7 |\n| Handtuned | 3717 | 90.8 |\n| Leastsquares | 3841 | 93.9 |\n| Hill-climbing | 3857 | 94.3 |",0]
["| Function | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Mutualinfo | 2817 | 68.9 |\n| Syntacticrulecost | 2913 | 71.2 |\n| L’hoodratio | 3120 | 76.3 |\n| χ | 3339 | 81.6 |","| χ | 3407 | 83.3 |\n| --- | --- | --- |\n| Meandistance | 3670 | 89.7 |",1]
["| Function | Number<br>correct | Percentage<br>correct |\n| --- | --- | --- |\n| (Randombaseline) | 1949 | 47.6 |\n| Mutualinfo | 2817 | 68.9 |\n| Syntacticrulecost | 2913 | 71.2 |\n| L’hoodratio | 3120 | 76.3 |\n| χ | 3339 | 81.6 |","| Normalized | 3549 | 86.7 |\n| --- | --- | --- |\n| Handtuned | 3717 | 90.8 |\n| Leastsquares | 3841 | 93.9 |\n| Hill-climbing | 3857 | 94.3 |",0]
["| SEMANTIC | SYNTACTIC |\n| --- | --- |\n| “general”-similarity |  |","| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |\n| --- | --- | --- | --- |\n| “sees”-“see”+“bank”=˜ |  |  |  |\n| ﬁrestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |",1]
["| SEMANTIC | SYNTACTIC |\n| --- | --- |\n| “general”-similarity |  |","| SemanticArchitecture | CBOW | CLOW | DIEM |\n| --- | --- | --- | --- |\n| SemanticVectorDim. | 500500 | 500 |  |\n| SEMANTICTOTAL | 81.0280.19 | 80.19 |  |\n| adjective-to-adverb<br>opposite<br>comparative<br>superlative<br>present-participle<br>nationality-adjective<br>past-tense<br>plural<br>plural-verbs | 37.7035.08<br>36.2140.15<br>86.7187.31<br>80.1282.00<br>77.2780.78<br>90.4390.18<br>72.3773.40<br>80.1881.83<br>58.5163.68 | 94.55<br>74.60<br>92.49<br>87.61<br>93.27<br>71.04<br>47.56<br>93.69<br>95.97 |  |\n| SYNTACTICTOTAL | 72.0473.45 | 81.53 |  |\n| COMBINEDSCORE | 76.0876.49 | 80.93 |  |",0]
["| SEMANTIC | SYNTACTIC |  |  |\n| --- | --- | --- | --- |\n| “general”-similarity |  |  |  |\n| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |","| “sees”-“see”+“bank”=˜ |  |  |  |\n| --- | --- | --- | --- |\n| ﬁrestone<br>yard<br>peres<br>c.c | 0.580<br>0.545<br>0.506<br>0.500 | banks<br>bank<br>balks<br>bans | 0.970<br>0.939<br>0.914<br>0.895 |",1]
["| SEMANTIC | SYNTACTIC |  |  |\n| --- | --- | --- | --- |\n| “general”-similarity |  |  |  |\n| secretary<br>elections<br>motors<br>undersecretary | 0.619<br>0.563<br>0.535<br>0.534 | gneral<br>genral<br>generally<br>generation | 0.986<br>0.978<br>0.954<br>0.944 |","| SYNTACTICTOTAL | 72.0473.45 | 81.53 |\n| --- | --- | --- |\n| COMBINEDSCORE | 76.0876.49 | 80.93 |",0]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |\n| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |","| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",1]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |\n| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |","| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |\n| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |\n| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |","| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",1]
["| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |\n| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |","| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["| Cross-subject |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |\n| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |\n| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |\n| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |\n| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |\n| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |","| 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |\n| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 |",1]
["| Cross-subject |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |\n| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |\n| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |\n| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |\n| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |\n| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |","| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| Cross-subject |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |\n| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |\n| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |","| 0.479 | 0.325 | 0.130 | 0.014 | 0.545 | 0.352 | 0.159 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.493 | 0.318 | 0.121 | 0.010 | 0.549 | 0.366 | 0.163 |\n| 0.574 | 0.406 | 0.162 | 0.018 | 0.675 | 0.498 | 0.255 |\n| 0.643 | 0.438 | 0.171 | 0.021 | 0.741 | 0.537 | 0.258 |\n| 0.647 | 0.476 | 0.199 | 0.026 | 0.747 | 0.584 | 0.306 |\n| 0.649 | 0.471 | 0.199 | 0.025 | 0.742 | 0.585 | 0.306 |",1]
["| Cross-subject |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.1 | 0.3 | 0.5 | 0.7 | 0.1 | 0.3 | 0.5 |\n| 0.507 | 0.323 | 0.147 | 0.024 | 0.617 | 0.439 | 0.221 |\n| 0.626 | 0.402 | 0.168 | 0.023 | 0.697 | 0.482 | 0.234 |","| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| Method | MemoryConsumption<br>(inbytesperpreﬁx) | Latency(ns) |  |\n| --- | --- | --- | --- |\n| Tree-based | 19.0 | 90 | O(N) |\n| CLIPS | 27.6 | N/A | N/A |\n| FlashTrie | 124.2 | 80 | N/A |","| FlashLook | 1010.0 | 90 | N/A |\n| --- | --- | --- | --- |\n| SHIP | 10.64 | 31 | O(N) |",1]
["| Method | MemoryConsumption<br>(inbytesperpreﬁx) | Latency(ns) |  |\n| --- | --- | --- | --- |\n| Tree-based | 19.0 | 90 | O(N) |\n| CLIPS | 27.6 | N/A | N/A |\n| FlashTrie | 124.2 | 80 | N/A |","| NAS<br>benchmark | Numberof<br>processes | Ckpt<br>time(s) | Ckpt<br>size(MB) |\n| --- | --- | --- | --- |\n| LU.E | 128×4 | 70.8 | 350 |\n| LU.E | 64×8 | 136.6 | 356 |\n| LU.E | 32×16 | 222.6 | 355 |\n| LU.E | 128×16 | 70.2 | 117 |",0]
["| Method | MemoryConsumption<br>(inbytesperpreﬁx) | Latency(ns) |  |\n| --- | --- | --- | --- |\n| Tree-based | 19.0 | 90 | O(N) |\n| CLIPS | 27.6 | N/A | N/A |\n| FlashTrie | 124.2 | 80 | N/A |","| FlashLook | 1010.0 | 90 | N/A |\n| --- | --- | --- | --- |\n| SHIP | 10.64 | 31 | O(N) |",1]
["| Method | MemoryConsumption<br>(inbytesperpreﬁx) | Latency(ns) |  |\n| --- | --- | --- | --- |\n| Tree-based | 19.0 | 90 | O(N) |\n| CLIPS | 27.6 | N/A | N/A |\n| FlashTrie | 124.2 | 80 | N/A |","| LU.E | 64×8 | 136.6 | 356 |\n| --- | --- | --- | --- |\n| LU.E | 32×16 | 222.6 | 355 |\n| LU.E | 128×16 | 70.2 | 117 |",0]
["| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |\n| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |\n| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |\n| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |\n| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |\n| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |\n| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |\n| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |\n| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |\n| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |\n| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |","| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",1]
["| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |\n| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |\n| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |\n| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |\n| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |\n| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |\n| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |\n| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |\n| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |\n| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |\n| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |","| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |\n| --- | --- | --- | --- | --- |\n| 20 | 3 | 1835008 | 7339887 | 7339943 |\n| 20 | 4 | 1966080 | 9830098 | 9830264 |\n| 20 | 5 | 2031616 | 12189089 | 12189506 |\n| 20 | 6 | 2064384 | 14449488 | 14450429 |\n| 20 | 7 | 2080768 | 16643791 | 16645785 |\n| 20 | 8 | 2088960 | 18796046 | 18800118 |\n| 20 | 9 | 2093056 | 20921613 | 20929748 |\n| 21 | 2 | 3145728 | 9437117 | 9437137 |\n| 21 | 3 | 3670016 | 14679912 | 14679971 |\n| 21 | 4 | 3932160 | 19660483 | 19660658 |\n| 21 | 5 | 4063232 | 24378754 | 24379194 |\n| 21 | 6 | 4128768 | 28900113 | 28901107 |\n| 21 | 7 | 4161536 | 33289808 | 33291917 |\n| 21 | 8 | 4177920 | 37596431 | 37600744 |\n| 21 | 9 | 4186112 | 41851662 | 41860292 |\n| 22 | 2 | 6291456 | 18874298 | 18874319 |\n| 22 | 3 | 7340032 | 29359969 | 29360031 |\n| 22 | 4 | 7864320 | 39321268 | 39321452 |\n| 22 | 5 | 8126464 | 48758115 | 48758578 |\n| 22 | 6 | 8257536 | 57801426 | 57802473 |\n| 22 | 7 | 8323072 | 66581969 | 66584193 |\n| 22 | 8 | 8355840 | 75197456 | 75202010 |\n| 22 | 9 | 8372224 | 83712271 | 83721396 |\n| 22 | 10 | 8380416 | 92165134 | 92183183 |",0]
["| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |\n| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |\n| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |\n| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |\n| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |","| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |\n| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |\n| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |\n| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |\n| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |\n| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",1]
["| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |\n| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |\n| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |\n| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |\n| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |","| 21 | 6 | 4128768 | 28900113 | 28901107 |\n| --- | --- | --- | --- | --- |\n| 21 | 7 | 4161536 | 33289808 | 33291917 |\n| 21 | 8 | 4177920 | 37596431 | 37600744 |\n| 21 | 9 | 4186112 | 41851662 | 41860292 |\n| 22 | 2 | 6291456 | 18874298 | 18874319 |\n| 22 | 3 | 7340032 | 29359969 | 29360031 |\n| 22 | 4 | 7864320 | 39321268 | 39321452 |\n| 22 | 5 | 8126464 | 48758115 | 48758578 |\n| 22 | 6 | 8257536 | 57801426 | 57802473 |\n| 22 | 7 | 8323072 | 66581969 | 66584193 |\n| 22 | 8 | 8355840 | 75197456 | 75202010 |\n| 22 | 9 | 8372224 | 83712271 | 83721396 |\n| 22 | 10 | 8380416 | 92165134 | 92183183 |",0]
["| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |","| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",1]
["| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |","| 0 | 10 | 20 | 30 | 40 | 50 | 60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9.3 | 7.6 | 5.9 | 4.3 | 3.0 | 2.0 | 1.2 |\n| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |","| 4 | 2.506 | 8 | 0.764 | 1 | 0.223 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 2.505 | 6 | 0.763 | 2 | 0.225 |\n| 8 | 2.505 | 5 | 0.763 | 3 | 0.225 |\n| 1 | 2.504 | 4 | 0.753 | 9 | 0.241 |\n| 12 | 2.454 | 12 | 0.742 | 15 | 0.248 |\n| 10 | 1.962 | 1 | 0.700 | 12 | 0.717 |\n| 11 | 1.614 | 13 | 0.535 | 13 | 1.085 |",1]
["| Ent | ED | MI |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| 15 | 2.872 | 15 | 0.860 | 11 | 0.077 |\n| 9 | 2.760 | 10 | 0.835 | 10 | 0.116 |\n| 2 | 2.619 | 11 | 0.814 | 7 | 0.219 |\n| 3 | 2.600 | 9 | 0.805 | 5 | 0.219 |\n| 6 | 2.510 | 3 | 0.796 | 8 | 0.220 |\n| 13 | 2.510 | 2 | 0.794 | 6 | 0.221 |\n| 5 | 2.506 | 7 | 0.766 | 4 | 0.221 |","| 38.2 | 31.1 | 24.4 | 18.3 | 13.1 | 8.8 | 5.5 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 86.7 | 70.4 | 55.2 | 41.4 | 29.7 | 19.9 | 12.4 |\n| 155.4 | 125.9 | 98.9 | 74.4 | 53.5 | 36.1 | 22.5 |\n| 326.0 | 264.5 | 207.6 | 156.2 | 111.9 | 75.7 | 47.1 |",0]
["| Framework | Language | NativeModels | LinesofCode |\n| --- | --- | --- | --- |\n| Caﬀe | C++ | CNN | 74,903 |\n| Theano | Python,C | MLP/CNN/RNN | 148,817 |","| Torch | Lua,C | MLP/CNN/RNN | 458,650 |\n| --- | --- | --- | --- |\n| TensorFlow | C++ | MLP/CNN/RNN | 335,669 |\n| Matconvnet | Matlab,C | CNN | 43,087 |\n| LightNet | Matlab | MLP/CNN/RNN | 951(1,762)* |",1]
["| Framework | Language | NativeModels | LinesofCode |\n| --- | --- | --- | --- |\n| Caﬀe | C++ | CNN | 74,903 |\n| Theano | Python,C | MLP/CNN/RNN | 148,817 |","|  | d-vector | DNN-class |\n| --- | --- | --- |\n| DNN-MFCC | 0.88 | 0.72 |\n| CNN-FBANK | 0.60 | 0.37 |\n| CNN-Raw | 0.58 | 0.36 |\n| SINCNET | 0.51 | 0.32 |",0]
["| Framework | Language | NativeModels | LinesofCode |\n| --- | --- | --- | --- |\n| Caﬀe | C++ | CNN | 74,903 |","| Theano | Python,C | MLP/CNN/RNN | 148,817 |\n| --- | --- | --- | --- |\n| Torch | Lua,C | MLP/CNN/RNN | 458,650 |\n| TensorFlow | C++ | MLP/CNN/RNN | 335,669 |\n| Matconvnet | Matlab,C | CNN | 43,087 |\n| LightNet | Matlab | MLP/CNN/RNN | 951(1,762)* |",1]
["| Framework | Language | NativeModels | LinesofCode |\n| --- | --- | --- | --- |\n| Caﬀe | C++ | CNN | 74,903 |","| CNN-Raw | 0.58 | 0.36 |\n| --- | --- | --- |\n| SINCNET | 0.51 | 0.32 |",0]
["| ﬁlter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |","| ﬁlter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| ﬁlter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 8x4 |\n|  |  |  |  |  |  |  |  |  |",1]
["| ﬁlter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |","| FilterShape |\n| --- |\n| 3×3×51 |\n| 3×3×46 |\n| 3×3×55 |\n| 3×3×85 |\n| 3×3×16 |\n| 3×3×84 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×16 |\n| 3×3×84 |",0]
["| ﬁlter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| ﬁlter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 |\n|  |  |  |  |  |  |  |  |  |","| ﬁlter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 8x4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |",1]
["| ﬁlter | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 | 5x5 | 7x7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| ﬁlter | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 | 5x3 | 7x5 |\n|  |  |  |  |  |  |  |  |  |","| 3×3×55 |\n| --- |\n| 3×3×85 |\n| 3×3×16 |\n| 3×3×84 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×24 |\n| 3×3×126 |\n| 3×3×16 |\n| 3×3×84 |",0]
["| Model | WERSWB | WERCH |  |  |\n| --- | --- | --- | --- | --- |\n| CE | ST | CE | ST |  |\n| CNN | 12.6 | 10.4 | 18.4 | 17.9 |\n| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |\n| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |","| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| --- | --- | --- | --- | --- |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",1]
["| Model | WERSWB | WERCH |  |  |\n| --- | --- | --- | --- | --- |\n| CE | ST | CE | ST |  |\n| CNN | 12.6 | 10.4 | 18.4 | 17.9 |\n| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |\n| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["| Model | WERSWB | WERCH |  |  |\n| --- | --- | --- | --- | --- |\n| CE | ST | CE | ST |  |\n| CNN | 12.6 | 10.4 | 18.4 | 17.9 |\n| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |","| DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 |\n| --- | --- | --- | --- | --- |\n| RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 |\n| DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |",1]
["| Model | WERSWB | WERCH |  |  |\n| --- | --- | --- | --- | --- |\n| CE | ST | CE | ST |  |\n| CNN | 12.6 | 10.4 | 18.4 | 17.9 |\n| DNN | 11.7 | 10.3 | 18.5 | 17.0 |\n| RNN | 11.5 | 9.9 | 17.7 | 16.3 |","| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |\n| Classiﬁer | NB | NB | NB | RFT | NB | RFT | NB |\n| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |\n| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 173871 | 593619 | 0.29 | 0.29 |\n| , | 13062 | 32848 | 0.45 | 0.43 |\n| de | 11350 | 38458 | 0.38 | 0.36 |\n| que | 7112 | 20608 | 0.43 | 0.42 |\n| en | 4193 | 15828 | 0.50 | 0.34 |\n| a | 3213 | 11943 | 0.44 | 0.38 |\n| y | 2295 | 13505 | 0.42 | 0.42 |\n| del | 1441 | 6602 | 0.45 | 0.27 |\n| una | 1426 | 5314 | 0.48 | 0.34 |\n| un | 1263 | 5187 | 0.44 | 0.35 |\n| se | 1227 | 6498 | 0.44 | 0.30 |","| para | 903 | 4338 | 0.52 | 0.37 |\n| --- | --- | --- | --- | --- |\n| con | 730 | 4354 | 0.47 | 0.37 |\n| no | 716 | 4689 | 0.45 | 0.34 |\n| es | 564 | 4390 | 0.41 | 0.34 |\n| al | 530 | 3076 | 0.51 | 0.30 |\n| ha | 464 | 2643 | 0.41 | 0.31 |\n| por | 418 | 4562 | 0.41 | 0.32 |\n| su | 276 | 2285 | 0.38 | 0.39 |\n| sobre | 266 | 2316 | 0.48 | 0.32 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 173871 | 593619 | 0.29 | 0.29 |\n| , | 13062 | 32848 | 0.45 | 0.43 |\n| de | 11350 | 38458 | 0.38 | 0.36 |\n| que | 7112 | 20608 | 0.43 | 0.42 |\n| en | 4193 | 15828 | 0.50 | 0.34 |\n| a | 3213 | 11943 | 0.44 | 0.38 |\n| y | 2295 | 13505 | 0.42 | 0.42 |\n| del | 1441 | 6602 | 0.45 | 0.27 |\n| una | 1426 | 5314 | 0.48 | 0.34 |\n| un | 1263 | 5187 | 0.44 | 0.35 |\n| se | 1227 | 6498 | 0.44 | 0.30 |","| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 151778 | 535729 | 0.29 | 0.29 |\n| the | 13113 | 35792 | 0.37 | 0.42 |\n| , | 9865 | 27186 | 0.44 | 0.39 |\n| to | 5590 | 16807 | 0.40 | 0.38 |\n| of | 3526 | 18548 | 0.28 | 0.35 |\n| a | 2596 | 8343 | 0.41 | 0.41 |\n| and | 2529 | 13954 | 0.39 | 0.41 |\n| in | 2106 | 11109 | 0.48 | 0.28 |\n| that | 1675 | 8052 | 0.37 | 0.38 |\n| is | 1212 | 8572 | 0.33 | 0.32 |\n| be | 1016 | 4761 | 0.28 | 0.48 |\n| for | 844 | 5515 | 0.40 | 0.37 |\n| this | 713 | 5176 | 0.33 | 0.39 |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 173871 | 593619 | 0.29 | 0.29 |\n| , | 13062 | 32848 | 0.45 | 0.43 |\n| de | 11350 | 38458 | 0.38 | 0.36 |","| que | 7112 | 20608 | 0.43 | 0.42 |\n| --- | --- | --- | --- | --- |\n| en | 4193 | 15828 | 0.50 | 0.34 |\n| a | 3213 | 11943 | 0.44 | 0.38 |\n| y | 2295 | 13505 | 0.42 | 0.42 |\n| del | 1441 | 6602 | 0.45 | 0.27 |\n| una | 1426 | 5314 | 0.48 | 0.34 |\n| un | 1263 | 5187 | 0.44 | 0.35 |\n| se | 1227 | 6498 | 0.44 | 0.30 |\n| para | 903 | 4338 | 0.52 | 0.37 |\n| con | 730 | 4354 | 0.47 | 0.37 |\n| no | 716 | 4689 | 0.45 | 0.34 |\n| es | 564 | 4390 | 0.41 | 0.34 |\n| al | 530 | 3076 | 0.51 | 0.30 |\n| ha | 464 | 2643 | 0.41 | 0.31 |\n| por | 418 | 4562 | 0.41 | 0.32 |\n| su | 276 | 2285 | 0.38 | 0.39 |\n| sobre | 266 | 2316 | 0.48 | 0.32 |",1]
["| FW | Mult.<br>inF(P) | Occurrences<br>incorpus | p1<br>(cid:101) | p2<br>(cid:101) |\n| --- | --- | --- | --- | --- |\n|  | 173871 | 593619 | 0.29 | 0.29 |\n| , | 13062 | 32848 | 0.45 | 0.43 |\n| de | 11350 | 38458 | 0.38 | 0.36 |","| this | 713 | 5176 | 0.33 | 0.39 |\n| --- | --- | --- | --- | --- |\n| inthe | 627 | 3142 | 0.51 | 0.40 |\n| are | 616 | 3825 | 0.35 | 0.42 |\n| we | 579 | 4419 | 0.37 | 0.32 |\n| which | 570 | 4106 | 0.42 | 0.40 |\n| on | 453 | 4640 | 0.39 | 0.28 |\n| have | 450 | 3498 | 0.33 | 0.33 |\n| an | 432 | 1784 | 0.48 | 0.38 |\n| has | 425 | 2320 | 0.46 | 0.34 |",0]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 229.220102<br>66.378361<br>67.867812<br>234.129248<br>63.957239<br>65.908254 | 0.3258410619<br>0.3258375894<br>0.3258410840<br>0.3258356616<br>0.3258358353<br>0.3258356562 | 495.873963<br>214.083371<br>214.533017<br>535.821883<br>126.807235<br>148.786983 | 0.3258353956<br>0.3258353935<br>0.3258353956<br>0.3258354793<br>0.3258354785<br>0.3258354792 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |","| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.134694<br>174.232600<br>176.845275<br>299.840227<br>171.384496<br>172.268358 | 0.3263398874<br>0.3263398971<br>0.3263398982<br>0.3258550019<br>0.3258550023<br>0.3258550036 | 708.881659<br>380.852014<br>338.122579<br>687.638964<br>209.564000<br>213.877001 | 0.3258353918<br>0.3258353920<br>0.3258353920<br>0.3258354037<br>0.3258354039<br>0.3258354041 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.620959<br>172.405902<br>172.612984<br>297.259155<br>172.227776<br>172.601618 | 0.3258923266<br>0.3258923398<br>0.3258923141<br>0.3261069018<br>0.3261069217<br>0.3261068804 | 406.229956<br>213.151577<br>185.538374<br>497.501496<br>159.518159<br>151.230547 | 0.3258354055<br>0.3258354059<br>0.3258354064<br>0.3258357363<br>0.3258357365<br>0.3258357352 |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 267.252470<br>144.769059<br>140.241334<br>268.102817<br>139.586141<br>135.646766 | 0.3258635308<br>0.3258635315<br>0.3258635313<br>0.3259704996<br>0.3259704998<br>0.3259704994 | 312.865696<br>121.004686<br>122.396247<br>306.236327<br>82.340378<br>81.486252 | 0.3258353862<br>0.3258353865<br>0.3258353867<br>0.3258354906<br>0.3258354912<br>0.3258354909 |",1]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 229.220102<br>66.378361<br>67.867812<br>234.129248<br>63.957239<br>65.908254 | 0.3258410619<br>0.3258375894<br>0.3258410840<br>0.3258356616<br>0.3258358353<br>0.3258356562 | 495.873963<br>214.083371<br>214.533017<br>535.821883<br>126.807235<br>148.786983 | 0.3258353956<br>0.3258353935<br>0.3258353956<br>0.3258354793<br>0.3258354785<br>0.3258354792 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |","| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 84.331058<br>20.571099<br>20.380268<br>86.462106<br>19.652540<br>23.803318 | 0.3759925588<br>0.3759958448<br>0.3759925419<br>0.3761630312<br>0.3764117775<br>0.3761654289 | 267.199348<br>96.172599<br>136.218536<br>261.746213<br>45.862451<br>56.056274 | 0.3759914171<br>0.3759912712<br>0.3759914133<br>0.3759920053<br>0.3759919137<br>0.3759920025 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |\n| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 |\n| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 128.216331<br>57.819864<br>60.425710<br>112.850682<br>58.064456<br>66.207054 | 0.3763077569<br>0.3763078069<br>0.3763079011<br>0.3773260313<br>0.3773259828<br>0.3773261006 | 215.183518<br>88.178545<br>98.404560<br>192.681710<br>57.283939<br>58.508361 | 0.3759913085<br>0.3759913110<br>0.3759913135<br>0.3759936315<br>0.3759936439<br>0.3759936213 |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 101.673967<br>47.587231<br>48.042649<br>103.513668<br>47.346182<br>55.683464 | 0.3761560102<br>0.3761559893<br>0.3761559954<br>0.3766979888<br>0.3766979329<br>0.3766979490 | 174.388236<br>58.634676<br>63.347389<br>128.650218<br>31.396945<br>41.701046 | 0.3759910145<br>0.3759910107<br>0.3759910169<br>0.3759918962<br>0.3759918950<br>0.3759918931 |",0]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 229.220102<br>66.378361<br>67.867812<br>234.129248<br>63.957239<br>65.908254 | 0.3258410619<br>0.3258375894<br>0.3258410840<br>0.3258356616<br>0.3258358353<br>0.3258356562 | 495.873963<br>214.083371<br>214.533017<br>535.821883<br>126.807235<br>148.786983 | 0.3258353956<br>0.3258353935<br>0.3258353956<br>0.3258354793<br>0.3258354785<br>0.3258354792 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |","| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.134694<br>174.232600<br>176.845275<br>299.840227<br>171.384496<br>172.268358 | 0.3263398874<br>0.3263398971<br>0.3263398982<br>0.3258550019<br>0.3258550023<br>0.3258550036 | 708.881659<br>380.852014<br>338.122579<br>687.638964<br>209.564000<br>213.877001 | 0.3258353918<br>0.3258353920<br>0.3258353920<br>0.3258354037<br>0.3258354039<br>0.3258354041 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 297.620959<br>172.405902<br>172.612984<br>297.259155<br>172.227776<br>172.601618 | 0.3258923266<br>0.3258923398<br>0.3258923141<br>0.3261069018<br>0.3261069217<br>0.3261068804 | 406.229956<br>213.151577<br>185.538374<br>497.501496<br>159.518159<br>151.230547 | 0.3258354055<br>0.3258354059<br>0.3258354064<br>0.3258357363<br>0.3258357365<br>0.3258357352 |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 267.252470<br>144.769059<br>140.241334<br>268.102817<br>139.586141<br>135.646766 | 0.3258635308<br>0.3258635315<br>0.3258635313<br>0.3259704996<br>0.3259704998<br>0.3259704994 | 312.865696<br>121.004686<br>122.396247<br>306.236327<br>82.340378<br>81.486252 | 0.3258353862<br>0.3258353865<br>0.3258353867<br>0.3258354906<br>0.3258354912<br>0.3258354909 |",1]
["| Method | Sampling | Batch | ConstantStep<br>TimeObjective | LineSearch<br>TimeObjective |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 229.220102<br>66.378361<br>67.867812<br>234.129248<br>63.957239<br>65.908254 | 0.3258410619<br>0.3258375894<br>0.3258410840<br>0.3258356616<br>0.3258358353<br>0.3258356562 | 495.873963<br>214.083371<br>214.533017<br>535.821883<br>126.807235<br>148.786983 | 0.3258353956<br>0.3258353935<br>0.3258353956<br>0.3258354793<br>0.3258354785<br>0.3258354792 |\n| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 302.318358<br>147.235962<br>148.402540<br>301.003253<br>145.917197<br>147.646753 | 0.3258637650<br>0.3258659974<br>0.3258636638<br>0.3259746991<br>0.3259814282<br>0.3259748885 | 432.787547<br>182.545531<br>177.698227<br>445.741781<br>112.433248<br>120.481113 | 0.3258353922<br>0.3258353924<br>0.3258353937<br>0.3258354946<br>0.3258355048<br>0.3258354828 |","| SAGA | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 119.419700<br>49.054361<br>50.032764<br>115.240795<br>48.484855<br>53.076179 | 0.3761615578<br>0.3761668056<br>0.3761616154<br>0.3767228974<br>0.3767380851<br>0.3767231692 | 244.424858<br>88.012460<br>125.125252<br>218.120526<br>41.586102<br>47.792283 | 0.3759911729<br>0.3759911528<br>0.3759911723<br>0.3759920084<br>0.3759920131<br>0.3759919544 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SAAG-II | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 122.687745<br>57.748874<br>58.840208<br>114.239646<br>58.377580<br>67.017390 | 0.3761359459<br>0.3761359525<br>0.3761359506<br>0.3759934574<br>0.3759934575<br>0.3759934576 | 319.227862<br>150.975243<br>156.970161<br>336.178564<br>88.889686<br>88.760368 | 0.3759910754<br>0.3759910741<br>0.3759910768<br>0.3759912580<br>0.3759912583<br>0.3759912574 |\n| SVRG | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 128.216331<br>57.819864<br>60.425710<br>112.850682<br>58.064456<br>66.207054 | 0.3763077569<br>0.3763078069<br>0.3763079011<br>0.3773260313<br>0.3773259828<br>0.3773261006 | 215.183518<br>88.178545<br>98.404560<br>192.681710<br>57.283939<br>58.508361 | 0.3759913085<br>0.3759913110<br>0.3759913135<br>0.3759936315<br>0.3759936439<br>0.3759936213 |\n| MBSGD | RS<br>CS<br>SS<br>RS<br>CS<br>SS | 200<br>1000 | 101.673967<br>47.587231<br>48.042649<br>103.513668<br>47.346182<br>55.683464 | 0.3761560102<br>0.3761559893<br>0.3761559954<br>0.3766979888<br>0.3766979329<br>0.3766979490 | 174.388236<br>58.634676<br>63.347389<br>128.650218<br>31.396945<br>41.701046 | 0.3759910145<br>0.3759910107<br>0.3759910169<br>0.3759918962<br>0.3759918950<br>0.3759918931 |",0]
["| Level-1<br>(Block-size/<br>sparsity) | Level-2<br>(Block-size/<br>sparsity) | Top-1Accuracy | Top-5Accuracy |\n| --- | --- | --- | --- |\n| 4x1/60 | – | 74.81(-1.32) | 92.26(-0.60) |\n| 4x1/63 | 1x1/97 | 75.29(-0.84) | 92.57(-0.29) |","| 4x1/65 | 1x1/95 | 75.38(-0.75) | 92.57(-0.29) |\n| --- | --- | --- | --- |\n| 4x1/70 | 1x1/90 | 75.48(-0.65) | 92.66(-0.20) |\n| 4x1/80 | 1x1/80 | 75.53(-0.60) | 92.77(-0.09) |\n| – | 1x1/60 | 75.76(-0.37) | 92.85(-0.01) |",1]
["| Level-1<br>(Block-size/<br>sparsity) | Level-2<br>(Block-size/<br>sparsity) | Top-1Accuracy | Top-5Accuracy |\n| --- | --- | --- | --- |\n| 4x1/60 | – | 74.81(-1.32) | 92.26(-0.60) |\n| 4x1/63 | 1x1/97 | 75.29(-0.84) | 92.57(-0.29) |","| block-size/sparsity | top-10 | top-20 | top-30 | top-40 |\n| --- | --- | --- | --- | --- |\n| 4x1/60 | 89.31 | 76.95 | 68.21 | 61.73 |\n| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |\n| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |\n| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",0]
["| Level-1<br>(Block-size/<br>sparsity) | Level-2<br>(Block-size/<br>sparsity) | Top-1Accuracy | Top-5Accuracy |\n| --- | --- | --- | --- |\n| 4x1/60 | – | 74.81(-1.32) | 92.26(-0.60) |\n| 4x1/63 | 1x1/97 | 75.29(-0.84) | 92.57(-0.29) |\n| 4x1/65 | 1x1/95 | 75.38(-0.75) | 92.57(-0.29) |","| 4x1/70 | 1x1/90 | 75.48(-0.65) | 92.66(-0.20) |\n| --- | --- | --- | --- |\n| 4x1/80 | 1x1/80 | 75.53(-0.60) | 92.77(-0.09) |\n| – | 1x1/60 | 75.76(-0.37) | 92.85(-0.01) |",1]
["| Level-1<br>(Block-size/<br>sparsity) | Level-2<br>(Block-size/<br>sparsity) | Top-1Accuracy | Top-5Accuracy |\n| --- | --- | --- | --- |\n| 4x1/60 | – | 74.81(-1.32) | 92.26(-0.60) |\n| 4x1/63 | 1x1/97 | 75.29(-0.84) | 92.57(-0.29) |\n| 4x1/65 | 1x1/95 | 75.38(-0.75) | 92.57(-0.29) |","| 4x1/63,1x1/97 | 100 | 88.28 | 74.41 | 65.51 |\n| --- | --- | --- | --- | --- |\n| 4x1/65,1x1/95 | 100 | 95.48 | 78.46 | 67.95 |\n| 4x1/70,1x1/90 | 100 | 100 | 88.16 | 73.78 |\n| 4x1/80,1x1/80 | 100 | 100 | 100 | 84.29 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.4791.620<br>13.31913.742<br>107.080117.963<br>1.4471.580<br>4.8635.265<br>15.88816.617 | 0.3883.81.818<br>2.8914.613.607<br>20.2875.350.679<br>0.7741.91.772<br>0.9035.45.690<br>3.1035.112.115 |","| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2521.354<br>11.92312.971<br>119.464130.255<br>1.0291.112<br>4.4084.236<br>15.88817.263 | 0.2754.61.621<br>2.5164.714.972<br>22.2885.4106.658<br>0.2474.21.353<br>0.8705.15.492<br>2.7715.719.774 |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 1.1311.233<br>12.37312.801<br>122.822135.833<br>0.9691.057<br>4.1114.505<br>16.48417.154 | 0.2414.71.517<br>1.8186.815.136<br>19.2146.4121.967<br>0.1865.21.244<br>0.6626.24.774<br>2.0388.117.203 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1511.301<br>12.18112.498<br>116.734131.596<br>0.9711.140<br>4.1164.527<br>16.28116.941 | 0.2794.11.509<br>1.6187.514.449<br>20.0675.8100.270<br>0.3392.91.330<br>0.6236.65.042<br>2.2997.117.563 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.4791.620<br>13.31913.742<br>107.080117.963<br>1.4471.580<br>4.8635.265<br>15.88816.617 | 0.3883.81.818<br>2.8914.613.607<br>20.2875.350.679<br>0.7741.91.772<br>0.9035.45.690<br>3.1035.112.115 |","| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.2221.341<br>13.23213.492<br>131.266144.100<br>1.0161.113<br>4.4014.745<br>17.53718.405 | 0.2924.21.200<br>2.5855.18.442<br>24.6985.341.073<br>0.2683.81.126<br>0.7755.73.890<br>3.2495.48.504 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2341.331<br>11.86112.945<br>119.297129.859<br>1.0271.105<br>4.4074.197<br>15.82417.178 | 0.2554.81.481<br>2.4544.89.870<br>22.1495.487.425<br>0.2274.51.045<br>0.8375.34.592<br>2.7045.913.898 |\n| 10000000<br>100000000<br>1000000000<br>Buckets8388607<br>33554431<br>134217727 | 1.1311.229<br>12.35012.771<br>122.627135.454<br>0.9271.010<br>4.1094.493<br>16.42917.091 | 0.2135.31.386<br>1.7776.910.155<br>18.9046.592.137<br>0.1715.41.104<br>0.6216.64.041<br>1.9608.412.782 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1411.287<br>12.15012.460<br>115.845131.236<br>0.9631.126<br>4.1114.512<br>16.21716.838 | 0.2474.60.840<br>1.5747.710.318<br>19.6725.978.962<br>0.3223.00.934<br>0.5697.22.774<br>2.2307.312.705 |",0]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.4791.620<br>13.31913.742<br>107.080117.963<br>1.4471.580<br>4.8635.265<br>15.88816.617 | 0.3883.81.818<br>2.8914.613.607<br>20.2875.350.679<br>0.7741.91.772<br>0.9035.45.690<br>3.1035.112.115 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2521.354<br>11.92312.971<br>119.464130.255<br>1.0291.112<br>4.4084.236<br>15.88817.263 | 0.2754.61.621<br>2.5164.714.972<br>22.2885.4106.658<br>0.2474.21.353<br>0.8705.15.492<br>2.7715.719.774 |","| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 1.1311.233<br>12.37312.801<br>122.822135.833<br>0.9691.057<br>4.1114.505<br>16.48417.154 | 0.2414.71.517<br>1.8186.815.136<br>19.2146.4121.967<br>0.1865.21.244<br>0.6626.24.774<br>2.0388.117.203 |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1511.301<br>12.18112.498<br>116.734131.596<br>0.9711.140<br>4.1164.527<br>16.28116.941 | 0.2794.11.509<br>1.6187.514.449<br>20.0675.8100.270<br>0.3392.91.330<br>0.6236.65.042<br>2.2997.117.563 |",1]
["| TypeSize | Seq/STLSeqQS | ForkSURandfork |\n| --- | --- | --- |\n| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 1.4791.620<br>13.31913.742<br>107.080117.963<br>1.4471.580<br>4.8635.265<br>15.88816.617 | 0.3883.81.818<br>2.8914.613.607<br>20.2875.350.679<br>0.7741.91.772<br>0.9035.45.690<br>3.1035.112.115 |\n| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2521.354<br>11.92312.971<br>119.464130.255<br>1.0291.112<br>4.4084.236<br>15.88817.263 | 0.2754.61.621<br>2.5164.714.972<br>22.2885.4106.658<br>0.2474.21.353<br>0.8705.15.492<br>2.7715.719.774 |","| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 1.2341.331<br>11.86112.945<br>119.297129.859<br>1.0271.105<br>4.4074.197<br>15.82417.178 | 0.2554.81.481<br>2.4544.89.870<br>22.1495.487.425<br>0.2274.51.045<br>0.8375.34.592<br>2.7045.913.898 |\n| --- | --- | --- |\n| 10000000<br>100000000<br>1000000000<br>Buckets8388607<br>33554431<br>134217727 | 1.1311.229<br>12.35012.771<br>122.627135.454<br>0.9271.010<br>4.1094.493<br>16.42917.091 | 0.2135.31.386<br>1.7776.910.155<br>18.9046.592.137<br>0.1715.41.104<br>0.6216.64.041<br>1.9608.412.782 |\n| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 1.1411.287<br>12.15012.460<br>115.845131.236<br>0.9631.126<br>4.1114.512<br>16.21716.838 | 0.2474.60.840<br>1.5747.710.318<br>19.6725.978.962<br>0.3223.00.934<br>0.5697.22.774<br>2.2307.312.705 |",0]
["| Method | Np | MAE | RMSE |\n| --- | --- | --- | --- |\n| YOLO | - | 102.89 | 110.02 |\n| FasterR-CNN | 200 | 103.48 | 110.64 |\n| *YOLO | - | 48.89 | 57.55 |\n| *FasterR-CNN | 200 | 47.45 | 57.39 |","| *FasterR-CNN(RPN-small) | 200 | 24.32 | 37.62 |\n| --- | --- | --- | --- |\n| †One-LookRegression | - | 59.46 | 66.84 |\n| OurCarCountingCNNModel | 200 | 23.80 | 36.79 |",1]
["| Method | Np | MAE | RMSE |\n| --- | --- | --- | --- |\n| YOLO | - | 102.89 | 110.02 |\n| FasterR-CNN | 200 | 103.48 | 110.64 |\n| *YOLO | - | 48.89 | 57.55 |\n| *FasterR-CNN | 200 | 47.45 | 57.39 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| SquareChnDetector | 20.55 | 439.1 |\n| R-FCN | 6.02 | 5.46 |\n| FasterR-CNN | 5.91 | 6.60 |\n| CountForest | 4.40 | 2.40 |\n| ExemplaryDensity | 1.82 | 2.74 |\n| BoostingCNN | 2.01 | N/A |\n| MoCNN | 2.75 | 13.40 |\n| WeightedVLAD | 2.41 | 9.12 |\n| DecideNet | 1.52 | 1.90 |",0]
["| Method | Np | MAE | RMSE |\n| --- | --- | --- | --- |\n| YOLO | - | 102.89 | 110.02 |","| FasterR-CNN | 200 | 103.48 | 110.64 |\n| --- | --- | --- | --- |\n| *YOLO | - | 48.89 | 57.55 |\n| *FasterR-CNN | 200 | 47.45 | 57.39 |\n| *FasterR-CNN(RPN-small) | 200 | 24.32 | 37.62 |\n| †One-LookRegression | - | 59.46 | 66.84 |\n| OurCarCountingCNNModel | 200 | 23.80 | 36.79 |",1]
["| Method | Np | MAE | RMSE |\n| --- | --- | --- | --- |\n| YOLO | - | 102.89 | 110.02 |","| WeightedVLAD | 2.41 | 9.12 |\n| --- | --- | --- |\n| DecideNet | 1.52 | 1.90 |",0]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |","| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",1]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |","|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 0.120 | 92 | 0.001 | 0.105 | 57 | 0.002 | 0.191 | 22 | 0.009 | 0.218 | 24 | 0.009 |\n| 3 | 0.196 | 99 | 0.002 | 0.167 | 55 | 0.003 | 0.281 | 22 | 0.013 | 0.316 | 22 | 0.014 |\n| 4 | 0.303 | 91 | 0.003 | 0.286 | 56 | 0.005 | 0.416 | 22 | 0.019 | 0.446 | 22 | 0.020 |\n| 5 | 0.445 | 96 | 0.005 | 0.396 | 57 | 0.007 | 0.592 | 22 | 0.027 | 0.537 | 22 | 0.024 |\n| 6 | 0.483 | 89 | 0.005 | 0.551 | 57 | 0.010 | 0.727 | 23 | 0.032 | 0.747 | 23 | 0.033 |\n| 7 | 0.643 | 89 | 0.007 | 0.718 | 57 | 0.013 | 0.905 | 23 | 0.039 | 0.923 | 23 | 0.040 |\n| 8 | 0.830 | 90 | 0.009 | 0.773 | 57 | 0.014 | 1.149 | 27 | 0.043 | 1.118 | 24 | 0.047 |\n| 9 | 1.007 | 92 | 0.011 | 1.051 | 57 | 0.018 | 1.339 | 25 | 0.054 | 1.503 | 24 | 0.063 |\n| 10 | 1.196 | 93 | 0.013 | 1.368 | 57 | 0.024 | 1.630 | 25 | 0.065 | 1.598 | 24 | 0.067 |\n| 11 | 1.480 | 94 | 0.016 | 1.380 | 58 | 0.024 | 1.760 | 28 | 0.063 | 1.765 | 24 | 0.074 |\n| Avg. | 0.670 | 93 | 0.007 | 0.679 | 57 | 0.012 | 0.899 | 24 | 0.036 | 0.917 | 23 | 0.039 |",0]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |\n| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |","| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",1]
["|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |\n| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |","| 10 | 1.196 | 93 | 0.013 | 1.368 | 57 | 0.024 | 1.630 | 25 | 0.065 | 1.598 | 24 | 0.067 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11 | 1.480 | 94 | 0.016 | 1.380 | 58 | 0.024 | 1.760 | 28 | 0.063 | 1.765 | 24 | 0.074 |\n| Avg. | 0.670 | 93 | 0.007 | 0.679 | 57 | 0.012 | 0.899 | 24 | 0.036 | 0.917 | 23 | 0.039 |",0]
["| Aliases | Characters |\n| --- | --- |\n| Concepts | Developers |\n| DateAdded | DateLastUpdated |\n| Description | ShortDescription |\n| Platforms | Publishers |\n| Franchises | Genres |\n| KilledCharacters | DebutedCharacters |\n| Locations | DebutedObjects |\n| DebutedLocations | Objects |\n| DebutedConcepts | People |\n| DebutedPeople | Videos |\n| MainImage | AllImages |\n| UserReviews | StaﬀReviews |","| ExpectedReleaseDate | OriginalReleaseDate |\n| --- | --- |\n| Themes | Re-ReleaseDates |\n| Rating | SimilarGames |",1]
["| Aliases | Characters |\n| --- | --- |\n| Concepts | Developers |\n| DateAdded | DateLastUpdated |\n| Description | ShortDescription |\n| Platforms | Publishers |\n| Franchises | Genres |\n| KilledCharacters | DebutedCharacters |\n| Locations | DebutedObjects |\n| DebutedLocations | Objects |\n| DebutedConcepts | People |\n| DebutedPeople | Videos |\n| MainImage | AllImages |\n| UserReviews | StaﬀReviews |","| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |\n| TheBlindSide | 2009-11-20 |\n| TheBookofEli | 2010-01-15 |\n| Daybreakers | 2010-01-08 |\n| DearJohn | 2010-02-05 |\n| DidYouHearAboutTheMorgans | 2009-12-18 |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |\n| Legion | 2010-01-22 |\n| Twilight:NewMoon | 2009-11-20 |\n| PirateRadio | 2009-11-13 |\n| PrincessAndTheFrog | 2009-12-11 |\n| SherlockHolmes | 2009-12-25 |\n| SpyNextDoor | 2010-01-15 |\n| TheCrazies | 2010-02-26 |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| Aliases | Characters |\n| --- | --- |\n| Concepts | Developers |\n| DateAdded | DateLastUpdated |\n| Description | ShortDescription |\n| Platforms | Publishers |\n| Franchises | Genres |","| KilledCharacters | DebutedCharacters |\n| --- | --- |\n| Locations | DebutedObjects |\n| DebutedLocations | Objects |\n| DebutedConcepts | People |\n| DebutedPeople | Videos |\n| MainImage | AllImages |\n| UserReviews | StaﬀReviews |\n| ExpectedReleaseDate | OriginalReleaseDate |\n| Themes | Re-ReleaseDates |\n| Rating | SimilarGames |",1]
["| Aliases | Characters |\n| --- | --- |\n| Concepts | Developers |\n| DateAdded | DateLastUpdated |\n| Description | ShortDescription |\n| Platforms | Publishers |\n| Franchises | Genres |","| TheCrazies | 2010-02-26 |\n| --- | --- |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",0]
["| Term | TermsthatConﬂictwithit |\n| --- | --- |\n| New | NewYork,NewYorkCity |\n| York | NewYork,YorkCity,NewYorkCity |\n| City | YorkCity,NewYorkCity |\n| NewYork | New,York,YorkCity,NewYorkCity |","| YorkCity | York,City,NewYork,NewYorkCity |\n| --- | --- |\n| NewYorkCity | New,York,City,NewYork,YorkCity |",1]
["| Term | TermsthatConﬂictwithit |\n| --- | --- |\n| New | NewYork,NewYorkCity |\n| York | NewYork,YorkCity,NewYorkCity |\n| City | YorkCity,NewYorkCity |\n| NewYork | New,York,YorkCity,NewYorkCity |","| MethodNameDescription |\n| --- |\n| ExtractSynonymWordreturnssynonymsofaword |\n| ExtractHypernymWordreturnshyponymsofaword |\n| ExtractSynonymSentencereturnssynonymsofwordsinasentence |\n| ExtractSynonymFilereturnssynonymsofwordsinaﬁle |",0]
["| Term | TermsthatConﬂictwithit |\n| --- | --- |\n| New | NewYork,NewYorkCity |","| York | NewYork,YorkCity,NewYorkCity |\n| --- | --- |\n| City | YorkCity,NewYorkCity |\n| NewYork | New,York,YorkCity,NewYorkCity |\n| YorkCity | York,City,NewYork,NewYorkCity |\n| NewYorkCity | New,York,City,NewYork,YorkCity |",1]
["| Term | TermsthatConﬂictwithit |\n| --- | --- |\n| New | NewYork,NewYorkCity |","| ExtractSynonymSentencereturnssynonymsofwordsinasentence |\n| --- |\n| ExtractSynonymFilereturnssynonymsofwordsinaﬁle |",0]
["| Method | nodrop | 30percent | 40percent | 50percent |\n| --- | --- | --- | --- | --- |\n| Baseline | 81.28 | 76.75 | 74.62 | 69.11 |\n| HardNegative | - | 74.68 | 73.99 | 71.41 |\n| OverlapbasedSoftSampling | - | 78.24 | 76.78 | 73.5 |","| ScorebasedSoftSampling | - | 77.99 | 75.91 | 72.55 |\n| --- | --- | --- | --- | --- |\n| Upperbound | - | 79.26 | 77.5 | 74.54 |",1]
["| Method | nodrop | 30percent | 40percent | 50percent |\n| --- | --- | --- | --- | --- |\n| Baseline | 81.28 | 76.75 | 74.62 | 69.11 |\n| HardNegative | - | 74.68 | 73.99 | 71.41 |\n| OverlapbasedSoftSampling | - | 78.24 | 76.78 | 73.5 |","| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |\n| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |\n| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |\n| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |\n| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["| Method | nodrop | 30percent | 40percent | 50percent |\n| --- | --- | --- | --- | --- |\n| Baseline | 81.28 | 76.75 | 74.62 | 69.11 |\n| HardNegative | - | 74.68 | 73.99 | 71.41 |\n| OverlapbasedSoftSampling | - | 78.24 | 76.78 | 73.5 |","| ScorebasedSoftSampling | - | 77.99 | 75.91 | 72.55 |\n| --- | --- | --- | --- | --- |\n| Upperbound | - | 79.26 | 77.5 | 74.54 |",1]
["| Method | nodrop | 30percent | 40percent | 50percent |\n| --- | --- | --- | --- | --- |\n| Baseline | 81.28 | 76.75 | 74.62 | 69.11 |\n| HardNegative | - | 74.68 | 73.99 | 71.41 |\n| OverlapbasedSoftSampling | - | 78.24 | 76.78 | 73.5 |","| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| --- | --- | --- | --- | --- | --- |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",0]
["|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |","| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",1]
["|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |","|  | SDR(dB) | SIR(dB) |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD |\n| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |","| Barbara | 1 | 27.49 | 0.0790 | 9 | 0.3 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 27.80 | 0.0762 | 19 | 1.0 |  |\n| 20 | 27.82 | 0.0761 | 20 | 2.5 |  |\n| 200 | 27.82 | 0.0761 | 20 | 20.4 |  |\n| 1000 | 27.82 | 0.0761 | 20 | 119.2 |  |",1]
["|  | N | PSNR(dB) | RelErr | Iter | Time(s) |\n| --- | --- | --- | --- | --- | --- |\n| Lena | 1 | 28.83 | 0.0827 | 16 | 0.5 |\n| 5 | 29.40 | 0.0774 | 23 | 1.2 |  |\n| 20 | 29.45 | 0.0769 | 26 | 3.1 |  |\n| 200 | 29.45 | 0.0769 | 36 | 35.5 |  |\n| 1000 | 29.45 | 0.0769 | 36 | 199.1 |  |","| Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 |\n| Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |",0]
["| RealityMining |\n| --- |\n| 0.44 |","| 0.64 |\n| --- |\n| 0.75 |\n| 0.77 |\n| 0.78 |\n| 0.80 |\n| 0.81 |\n| 0.83 |\n| 0.84 |\n| 0.85 |",1]
["| RealityMining |\n| --- |\n| 0.44 |","| 0.44 |\n| --- |\n| 0.46 |\n| 0.44 |\n| 0.45 |\n| 0.40 |",0]
["| RealityMining |\n| --- |\n| 0.44 |\n| 0.64 |\n| 0.75 |","| 0.77 |\n| --- |\n| 0.78 |\n| 0.80 |\n| 0.81 |\n| 0.83 |\n| 0.84 |\n| 0.85 |",1]
["| RealityMining |\n| --- |\n| 0.44 |\n| 0.64 |\n| 0.75 |","| 0.45 |\n| --- |\n| 0.40 |",0]
["|  | 1cm | 2cm | 4cm | 8cm |\n| --- | --- | --- | --- | --- |\n| DNN-ILD | 3.01±.044 | 3.03±.046 | 3.10±.047 | 3.23±.049 |\n| Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 |","| DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 |\n| --- | --- | --- | --- | --- |\n| Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |",1]
["|  | 1cm | 2cm | 4cm | 8cm |\n| --- | --- | --- | --- | --- |\n| DNN-ILD | 3.01±.044 | 3.03±.046 | 3.10±.047 | 3.23±.049 |\n| Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 |","|  | 30dB | 20dB | 10dB |\n| --- | --- | --- | --- |\n| DNN-ILD | 3.03±.046 | 3.03±.046 | 3.05±.046 |\n| Linear-ILD | 2.31±.036 | 2.32±.036 | 2.36±.037 |\n| DNN-IPD | 0.48±.009 | 0.48±.009 | 0.48±.009 |\n| Linear-IPD | 0.40±.008 | 0.40±.008 | 0.41±.008 |",0]
["|  | 1cm | 2cm | 4cm | 8cm |\n| --- | --- | --- | --- | --- |\n| DNN-ILD | 3.01±.044 | 3.03±.046 | 3.10±.047 | 3.23±.049 |","| Linear-ILD | 0.92±.017 | 2.21±.036 | 3.18±.049 | 3.43±.052 |\n| --- | --- | --- | --- | --- |\n| DNN-IPD | 0.46±.008 | 0.48±.009 | 0.50±.009 | 0.54±.009 |\n| Linear-IPD | 0.17±.005 | 0.38±.008 | 0.53±.009 | 0.57±.010 |",1]
["|  | 1cm | 2cm | 4cm | 8cm |\n| --- | --- | --- | --- | --- |\n| DNN-ILD | 3.01±.044 | 3.03±.046 | 3.10±.047 | 3.23±.049 |","| DNN-IPD | 0.48±.009 | 0.48±.009 | 0.48±.009 |\n| --- | --- | --- | --- |\n| Linear-IPD | 0.40±.008 | 0.40±.008 | 0.41±.008 |",0]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 148.7<br>141.5<br>142.3 | 164.3<br>162.5<br>165.2 | 139.4<br>145.4<br>144.0 | 61.0<br>62.8<br>61.7 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 155.1<br>153.1<br>150.1 | 177.6<br>174.8<br>175.0 | 153.1<br>154.9<br>154.7 | 74.1<br>77.4<br>76.3 |\n| Dissimilar |  |  |  |  |","|  | K | N.TFT | B. | C. |\n| --- | --- | --- | --- | --- |\n| SBV<br>Basic<br>Bayesian | 163.8<br>162.2<br>163.7 | 175.7<br>176.6<br>177.2 | 156.6<br>160.1<br>160.5 | 73.4<br>87.7<br>88.0 |",1]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 148.7<br>141.5<br>142.3 | 164.3<br>162.5<br>165.2 | 139.4<br>145.4<br>144.0 | 61.0<br>62.8<br>61.7 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 155.1<br>153.1<br>150.1 | 177.6<br>174.8<br>175.0 | 153.1<br>154.9<br>154.7 | 74.1<br>77.4<br>76.3 |\n| Dissimilar |  |  |  |  |","| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.241<br>0.259<br>0.250<br>0.169<br>0.181 | 0.160<br>0.164<br>0.216<br>0.248<br>0.150 | 0.238<br>0.224<br>0.267<br>0.283<br>0.184 | 0.372<br>0.557<br>0.520<br>0.615<br>0.552 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.188<br>0.248<br>0.231<br>0.149<br>0.168 | 0.147<br>0.158<br>0.171<br>0.162<br>0.137 | 0.186<br>0.224<br>0.222<br>0.224<br>0.170 | 0.308<br>0.390<br>0.383<br>0.477<br>0.324 |\n| Dissimilar |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",0]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 148.7<br>141.5<br>142.3 | 164.3<br>162.5<br>165.2 | 139.4<br>145.4<br>144.0 | 61.0<br>62.8<br>61.7 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 155.1<br>153.1<br>150.1 | 177.6<br>174.8<br>175.0 | 153.1<br>154.9<br>154.7 | 74.1<br>77.4<br>76.3 |\n| Dissimilar |  |  |  |  |","|  | K | N.TFT | B. | C. |\n| --- | --- | --- | --- | --- |\n| SBV<br>Basic<br>Bayesian | 163.8<br>162.2<br>163.7 | 175.7<br>176.6<br>177.2 | 156.6<br>160.1<br>160.5 | 73.4<br>87.7<br>88.0 |",1]
["| Similar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 148.7<br>141.5<br>142.3 | 164.3<br>162.5<br>165.2 | 139.4<br>145.4<br>144.0 | 61.0<br>62.8<br>61.7 |\n| AverageSimilarity |  |  |  |  |\n|  | K | N.TFT | B. | C. |\n| SBV<br>Basic<br>Bayesian | 155.1<br>153.1<br>150.1 | 177.6<br>174.8<br>175.0 | 153.1<br>154.9<br>154.7 | 74.1<br>77.4<br>76.3 |\n| Dissimilar |  |  |  |  |","| Dissimilar |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | K | N.TFT | B. | C. |\n| Averse<br>Neutral<br>Mix<br>Seeker<br>SBV | 0.203<br>0.209<br>0.228<br>0.060<br>0.07 | 0.167<br>0.196<br>0.183<br>0.247<br>0.16 | 0.245<br>0.271<br>0.265<br>0.294<br>0.128 | 0.373<br>0.475<br>0.452<br>0.566<br>0.257 |",0]
["| D1 | D2 | X1 | X2 | Function |\n| --- | --- | --- | --- | --- |\n| A | A | 0 | B | A·B(AND) |\n| A | A | 0 | B | A+B(NOR) |","| A | A | B | B | A⊕B(XOR) |\n| --- | --- | --- | --- | --- |\n| A | A | B | B | A(cid:12)B(XNOR) |",1]
["| D1 | D2 | X1 | X2 | Function |\n| --- | --- | --- | --- | --- |\n| A | A | 0 | B | A·B(AND) |\n| A | A | 0 | B | A+B(NOR) |","|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| D1 | D2 | X1 | X2 | Function |\n| --- | --- | --- | --- | --- |\n| A | A | 0 | B | A·B(AND) |\n| A | A | 0 | B | A+B(NOR) |","| A | A | B | B | A⊕B(XOR) |\n| --- | --- | --- | --- | --- |\n| A | A | B | B | A(cid:12)B(XNOR) |",1]
["| D1 | D2 | X1 | X2 | Function |\n| --- | --- | --- | --- | --- |\n| A | A | 0 | B | A·B(AND) |\n| A | A | 0 | B | A+B(NOR) |","| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| --- | --- | --- |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",0]
["| Input | KMC2 | Kmerlight |\n| --- | --- | --- |\n| 23billion<br>21-mers | 2350sec-<br>(1GBRAM,20GBHDD) | 1395sec(120MBRAM) |","| 9.2billion<br>63-mers | Abort-(1GBRAM)<br>3150sec-<br>(2GBRAM,42GBHDD) | 995sec(120MBRAM)<br>1200sec(500MBRAM)<br>1291sec(960MBRAM) |\n| --- | --- | --- |\n| 144billion<br>63-mers | 4.5hr-<br>(32GBRAM,264GBHDD) | 2hr10min(120MBRAM) |\n| 61billion<br>85-mers | Abort-(32GBRAM)<br>2hr20min-<br>(64GBRAM,250GBHDD) | 1hr10min(120MBRAM) |",1]
["| Input | KMC2 | Kmerlight |\n| --- | --- | --- |\n| 23billion<br>21-mers | 2350sec-<br>(1GBRAM,20GBHDD) | 1395sec(120MBRAM) |","|  | a | b | r |\n| --- | --- | --- | --- |\n| 256MB:512MBRatio | 0.5829 | -0.2517 | -0.9984 |\n| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |\n| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |\n| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 |\n| 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |\n| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 |",0]
["| Input | KMC2 | Kmerlight |\n| --- | --- | --- |\n| 23billion<br>21-mers | 2350sec-<br>(1GBRAM,20GBHDD) | 1395sec(120MBRAM) |\n| 9.2billion<br>63-mers | Abort-(1GBRAM)<br>3150sec-<br>(2GBRAM,42GBHDD) | 995sec(120MBRAM)<br>1200sec(500MBRAM)<br>1291sec(960MBRAM) |","| 144billion<br>63-mers | 4.5hr-<br>(32GBRAM,264GBHDD) | 2hr10min(120MBRAM) |\n| --- | --- | --- |\n| 61billion<br>85-mers | Abort-(32GBRAM)<br>2hr20min-<br>(64GBRAM,250GBHDD) | 1hr10min(120MBRAM) |",1]
["| Input | KMC2 | Kmerlight |\n| --- | --- | --- |\n| 23billion<br>21-mers | 2350sec-<br>(1GBRAM,20GBHDD) | 1395sec(120MBRAM) |\n| 9.2billion<br>63-mers | Abort-(1GBRAM)<br>3150sec-<br>(2GBRAM,42GBHDD) | 995sec(120MBRAM)<br>1200sec(500MBRAM)<br>1291sec(960MBRAM) |","| 512MB:768MBRatio | 4.89 | -0.1292 | -0.9748 |\n| --- | --- | --- | --- |\n| 768MB:1GBRatio | 0.3821 | -0.1709 | -0.9801 |\n| 1GB:1.5GBRatio | 3.98 | -0.1367 | -0.9833 |\n| 1.5GB:2GBRatio | 1.51 | -0.0925 | -0.9897 |\n| 2GB:4GBRatio | 4.951 | -0.1008 | -0.9880 |",0]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| DSCLRCN | 0.680.800.720.872.352.17 |\n| SAM-ResNet | 0.680.780.700.872.342.15 |\n| SAM-VGG | 0.670.770.710.872.302.14 |\n| DeepFix | 0.670.780.710.872.262.04 |\n| SALICON | 0.600.740.740.872.122.62 |\n| PDP | 0.600.700.730.852.052.58 |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |\n| SalNet | 0.520.580.690.831.513.31 |\n| BMS | 0.510.550.650.831.413.35 |","| Mr-CNN | 0.480.480.690.791.373.71 |\n| --- | --- |\n| DeepGazeII | 0.460.520.720.881.293.98 |\n| GBVS | 0.480.480.630.811.243.51 |\n| eDN | 0.410.450.620.821.144.56 |",1]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| DSCLRCN | 0.680.800.720.872.352.17 |\n| SAM-ResNet | 0.680.780.700.872.342.15 |\n| SAM-VGG | 0.670.770.710.872.302.14 |\n| DeepFix | 0.670.780.710.872.262.04 |\n| SALICON | 0.600.740.740.872.122.62 |\n| PDP | 0.600.700.730.852.052.58 |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |\n| SalNet | 0.520.580.690.831.513.31 |\n| BMS | 0.510.550.650.831.413.35 |","|  | CCsAUCAUCNSS |\n| --- | --- |\n| SAM-ResNet | 0.8420.7790.8833.204 |\n| DSCLRCN | 0.8310.7760.8843.157 |\n| SAM-VGG | 0.8250.7740.8813.143 |\n| ML-Net | 0.7430.7680.8662.789 |\n| MixNet | 0.7300.7710.8612.767 |\n| SU | 0.7800.7600.8802.610 |\n| SalGAN(*) | 0.7810.7720.7812.459 |\n| SalNet | 0.6220.7240.8581.859 |\n| DeepGazeII | 0.5090.7610.8851.336 |",0]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| DSCLRCN | 0.680.800.720.872.352.17 |\n| SAM-ResNet | 0.680.780.700.872.342.15 |\n| SAM-VGG | 0.670.770.710.872.302.14 |\n| DeepFix | 0.670.780.710.872.262.04 |\n| SALICON | 0.600.740.740.872.122.62 |\n| PDP | 0.600.700.730.852.052.58 |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |","| SalNet | 0.520.580.690.831.513.31 |\n| --- | --- |\n| BMS | 0.510.550.650.831.413.35 |\n| Mr-CNN | 0.480.480.690.791.373.71 |\n| DeepGazeII | 0.460.520.720.881.293.98 |\n| GBVS | 0.480.480.630.811.243.51 |\n| eDN | 0.410.450.620.821.144.56 |",1]
["|  | SIMCCsAUCAUCNSSEMD |\n| --- | --- |\n| DSCLRCN | 0.680.800.720.872.352.17 |\n| SAM-ResNet | 0.680.780.700.872.342.15 |\n| SAM-VGG | 0.670.770.710.872.302.14 |\n| DeepFix | 0.670.780.710.872.262.04 |\n| SALICON | 0.600.740.740.872.122.62 |\n| PDP | 0.600.700.730.852.052.58 |\n| ML-Net | 0.590.670.700.852.052.63 |\n| SalGAN(*) | 0.630.730.720.862.042.29 |\n| iSEEL | 0.570.650.680.841.782.72 |","| SalGAN(*) | 0.7810.7720.7812.459 |\n| --- | --- |\n| SalNet | 0.6220.7240.8581.859 |\n| DeepGazeII | 0.5090.7610.8851.336 |",0]
["| (b,b,b,b)0123 | Typeoffunction | Querycomplexity |\n| --- | --- | --- |\n| 0000 | Constantfunction | 0 |\n| 0001 | AND3 | 3 |","| 0010<br>0011<br>0100<br>0101<br>0110 | EXACT3<br>2<br>Th3<br>1<br>EXACT3<br>PARITY3<br>NAE3 | 2<br>2<br>2<br>2<br>2 |\n| --- | --- | --- |\n| 0111 | IsomorphictoAND3 | 3 |\n| 1000 | IsomorphictoAND3 | 3 |\n| 1001<br>1010<br>1011<br>1100<br>1101 | IsomorphictoNAE3<br>IsomorphictoPARITY3<br>1<br>IsomorphictoEXACT3<br>2<br>IsomorphictoTh3<br>2<br>IsomorphictoEXACT | 2<br>2<br>2<br>2<br>2 |\n| 1110 | IsomorphictoAND3 | 3 |\n| 1111 | Constantfunction | 0 |",1]
["| (b,b,b,b)0123 | Typeoffunction | Querycomplexity |\n| --- | --- | --- |\n| 0000 | Constantfunction | 0 |\n| 0001 | AND3 | 3 |","| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["| (b,b,b,b)0123 | Typeoffunction | Querycomplexity |\n| --- | --- | --- |\n| 0000 | Constantfunction | 0 |\n| 0001 | AND3 | 3 |\n| 0010<br>0011<br>0100<br>0101<br>0110 | EXACT3<br>2<br>Th3<br>1<br>EXACT3<br>PARITY3<br>NAE3 | 2<br>2<br>2<br>2<br>2 |\n| 0111 | IsomorphictoAND3 | 3 |\n| 1000 | IsomorphictoAND3 | 3 |\n| 1001<br>1010<br>1011<br>1100<br>1101 | IsomorphictoNAE3<br>IsomorphictoPARITY3<br>1<br>IsomorphictoEXACT3<br>2<br>IsomorphictoTh3<br>2<br>IsomorphictoEXACT | 2<br>2<br>2<br>2<br>2 |","| 1110 | IsomorphictoAND3 | 3 |\n| --- | --- | --- |\n| 1111 | Constantfunction | 0 |",1]
["| (b,b,b,b)0123 | Typeoffunction | Querycomplexity |\n| --- | --- | --- |\n| 0000 | Constantfunction | 0 |\n| 0001 | AND3 | 3 |\n| 0010<br>0011<br>0100<br>0101<br>0110 | EXACT3<br>2<br>Th3<br>1<br>EXACT3<br>PARITY3<br>NAE3 | 2<br>2<br>2<br>2<br>2 |\n| 0111 | IsomorphictoAND3 | 3 |\n| 1000 | IsomorphictoAND3 | 3 |\n| 1001<br>1010<br>1011<br>1100<br>1101 | IsomorphictoNAE3<br>IsomorphictoPARITY3<br>1<br>IsomorphictoEXACT3<br>2<br>IsomorphictoTh3<br>2<br>IsomorphictoEXACT | 2<br>2<br>2<br>2<br>2 |","| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["| No.ofnodes | NameofTheNeurons | NeuronLabelNo. |\n| --- | --- | --- |\n| 1 | IL2DL | 1 |\n| 2 | IL2DR | 6 |\n| 3 | ASIL | 76 |","| 4 | ASIR | 90 |\n| --- | --- | --- |\n| 5 | AINL | 120 |\n| 6 | SDQR | 179 |\n| 7 | DB05 | 204 |\n| 8 | AS08 | 220 |\n| 9 | PVDR | 227 |\n| 10 | DVB | 253 |\n| 11 | PLNR | 260 |\n| 12 | PHCR | 274 |\n| 13 | PLML | 279 |",1]
["| No.ofnodes | NameofTheNeurons | NeuronLabelNo. |\n| --- | --- | --- |\n| 1 | IL2DL | 1 |\n| 2 | IL2DR | 6 |\n| 3 | ASIL | 76 |","|  | Performance | Highﬁtness | Neurons | Connectivity |\n| --- | --- | --- | --- | --- |\n| HPvsPEO | 0.009 | 0.033 | 0.318 | 0.983 |\n| HPvsLIN | 0.009 | 0.106 | 0.601 | 0.349 |\n| HPvsGA | 0.023 | 0.091 | 0.699 | 0.859 |\n| PEOvsLIN | 0.763 | 0.009 | 0.130 | 0.171 |\n| PEOvsGA | 0.027 | 0.044 | 0.107 | 0.781 |\n| LINvsGA | 0.019 | 0.684 | 0.762 | 0.289 |",0]
["| No.ofnodes | NameofTheNeurons | NeuronLabelNo. |\n| --- | --- | --- |\n| 1 | IL2DL | 1 |\n| 2 | IL2DR | 6 |\n| 3 | ASIL | 76 |\n| 4 | ASIR | 90 |\n| 5 | AINL | 120 |\n| 6 | SDQR | 179 |\n| 7 | DB05 | 204 |","| 8 | AS08 | 220 |\n| --- | --- | --- |\n| 9 | PVDR | 227 |\n| 10 | DVB | 253 |\n| 11 | PLNR | 260 |\n| 12 | PHCR | 274 |\n| 13 | PLML | 279 |",1]
["| No.ofnodes | NameofTheNeurons | NeuronLabelNo. |\n| --- | --- | --- |\n| 1 | IL2DL | 1 |\n| 2 | IL2DR | 6 |\n| 3 | ASIL | 76 |\n| 4 | ASIR | 90 |\n| 5 | AINL | 120 |\n| 6 | SDQR | 179 |\n| 7 | DB05 | 204 |","| PEOvsLIN | 0.763 | 0.009 | 0.130 | 0.171 |\n| --- | --- | --- | --- | --- |\n| PEOvsGA | 0.027 | 0.044 | 0.107 | 0.781 |\n| LINvsGA | 0.019 | 0.684 | 0.762 | 0.289 |",0]
["| Name | Abbr. | Description |\n| --- | --- | --- |\n| Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel |","| HeuristicallyOptimizedTrade-oﬀs | FKP | Localoptimizationmodel |\n| --- | --- | --- |\n| GeneralizedLinearPreference | GLP | Modiﬁedpreferentialattachmentmodel |\n| UnivariateHeuristicallyOptimizedTrade-oﬀs | UFKP | Modiﬁedlocaloptimizationmodel |\n| BivariateHeuristicallyOptimizedTrade-oﬀs | BFKP | Modiﬁedlocaloptimizationmodel |\n| MultivariateHeuristicallyOptimizedTrade-oﬀs | MFKP | Modiﬁedlocaloptimizationmodel |\n| InteractiveGrowth | IG | Modiﬁedpreferentialattachmentmodel |\n| PositiveFeedbackPreference(1) | PFP1 | ModiﬁedIGmodel |\n| PositiveFeedbackPreference(2) | PFP1 | ModiﬁedPFP1model |\n| ASIM | ASIM | Agentbasedtopologygenerator |",1]
["| Name | Abbr. | Description |\n| --- | --- | --- |\n| Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel |","| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Name | Abbr. | Description |\n| --- | --- | --- |\n| Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel |\n| HeuristicallyOptimizedTrade-oﬀs | FKP | Localoptimizationmodel |\n| GeneralizedLinearPreference | GLP | Modiﬁedpreferentialattachmentmodel |\n| UnivariateHeuristicallyOptimizedTrade-oﬀs | UFKP | Modiﬁedlocaloptimizationmodel |\n| BivariateHeuristicallyOptimizedTrade-oﬀs | BFKP | Modiﬁedlocaloptimizationmodel |\n| MultivariateHeuristicallyOptimizedTrade-oﬀs | MFKP | Modiﬁedlocaloptimizationmodel |","| InteractiveGrowth | IG | Modiﬁedpreferentialattachmentmodel |\n| --- | --- | --- |\n| PositiveFeedbackPreference(1) | PFP1 | ModiﬁedIGmodel |\n| PositiveFeedbackPreference(2) | PFP1 | ModiﬁedPFP1model |\n| ASIM | ASIM | Agentbasedtopologygenerator |",1]
["| Name | Abbr. | Description |\n| --- | --- | --- |\n| Bar´abasi-Albert | BA | Originalpreferentialattachmentmodel |\n| HeuristicallyOptimizedTrade-oﬀs | FKP | Localoptimizationmodel |\n| GeneralizedLinearPreference | GLP | Modiﬁedpreferentialattachmentmodel |\n| UnivariateHeuristicallyOptimizedTrade-oﬀs | UFKP | Modiﬁedlocaloptimizationmodel |\n| BivariateHeuristicallyOptimizedTrade-oﬀs | BFKP | Modiﬁedlocaloptimizationmodel |\n| MultivariateHeuristicallyOptimizedTrade-oﬀs | MFKP | Modiﬁedlocaloptimizationmodel |","| β0 | Maximumboost |\n| --- | --- |\n| τ | Dutycycleperiod |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1249±0.0131 | 0.3467 | 211 | - |\n| GKKM | 0.2322±0.0508 | 0.7728 | 8 | 0.8841 |\n| M=5,µ=0.2500,σ=0.05380 |  |  |  |  |\n| CCBS<br>GCBS | 0.2112±0.0426<br>0.2251±0.0491 | 0.0690<br>0.0237 | 8<br>6 | 0.2396<br>0.2357 |","| M=10,µ=0.1111,σ=0.02760 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.1802±0.0290<br>0.1839±0.0304 | 0.0682<br>0.0176 | 14<br>13 | 0.1095<br>0.1104 |\n| M=20,µ=0.0526,σ=0.01550 |  |  |  |  |\n| CCBS<br>GCBS | 0.1534±0.0150<br>0.1655±0.0198 | 0.0851<br>0.0195 | 23<br>20 | 0.0521<br>0.0507 |\n| M=30,µ=0.0345,σ=0.01110 |  |  |  |  |\n| CCBS<br>GCBS | 0.1399±0.0105<br>0.1426±0.0111 | 0.0866<br>0.0167 | 30<br>27 | 0.0325<br>0.0296 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1249±0.0131 | 0.3467 | 211 | - |\n| GKKM | 0.2322±0.0508 | 0.7728 | 8 | 0.8841 |\n| M=5,µ=0.2500,σ=0.05380 |  |  |  |  |\n| CCBS<br>GCBS | 0.2112±0.0426<br>0.2251±0.0491 | 0.0690<br>0.0237 | 8<br>6 | 0.2396<br>0.2357 |","| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1320±0.0161 | 0.3034 | 211 | - |\n| GKKM | 0.1325±0.0150 | 1.8930 | 15 | 0.7694 |\n| M=5,µ=0.2500,σ=0.10840 |  |  |  |  |\n| CCBS<br>GCBS | 0.1358±0.0154<br>0.1585±0.0229 | 0.0550<br>0.0227 | 7<br>5 | 0.2441<br>0.2212 |\n| M=10,µ=0.1111,σ=0.05890 |  |  |  |  |\n| CCBS<br>GCBS | 0.1224±0.0125<br>0.1323±0.0158 | 0.0740<br>0.0172 | 14<br>12 | 0.1110<br>0.1076 |\n| M=20,µ=0.0526,σ=0.03410 |  |  |  |  |\n| CCBS<br>GCBS | 0.1132±0.0118<br>0.1179±0.0131 | 0.0731<br>0.0204 | 22<br>20 | 0.0506<br>0.0491 |\n| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",0]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1249±0.0131 | 0.3467 | 211 | - |\n| GKKM | 0.2322±0.0508 | 0.7728 | 8 | 0.8841 |\n| M=5,µ=0.2500,σ=0.05380 |  |  |  |  |\n| CCBS<br>GCBS | 0.2112±0.0426<br>0.2251±0.0491 | 0.0690<br>0.0237 | 8<br>6 | 0.2396<br>0.2357 |\n| M=10,µ=0.1111,σ=0.02760 |  |  |  |  |\n| CCBS<br>GCBS | 0.1802±0.0290<br>0.1839±0.0304 | 0.0682<br>0.0176 | 14<br>13 | 0.1095<br>0.1104 |\n| M=20,µ=0.0526,σ=0.01550 |  |  |  |  |","| CCBS<br>GCBS | 0.1534±0.0150<br>0.1655±0.0198 | 0.0851<br>0.0195 | 23<br>20 | 0.0521<br>0.0507 |\n| --- | --- | --- | --- | --- |\n| M=30,µ=0.0345,σ=0.01110 |  |  |  |  |\n| CCBS<br>GCBS | 0.1399±0.0105<br>0.1426±0.0111 | 0.0866<br>0.0167 | 30<br>27 | 0.0325<br>0.0296 |",1]
["| Strategy | RMSE±STD | Time | Nb | µ |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1249±0.0131 | 0.3467 | 211 | - |\n| GKKM | 0.2322±0.0508 | 0.7728 | 8 | 0.8841 |\n| M=5,µ=0.2500,σ=0.05380 |  |  |  |  |\n| CCBS<br>GCBS | 0.2112±0.0426<br>0.2251±0.0491 | 0.0690<br>0.0237 | 8<br>6 | 0.2396<br>0.2357 |\n| M=10,µ=0.1111,σ=0.02760 |  |  |  |  |\n| CCBS<br>GCBS | 0.1802±0.0290<br>0.1839±0.0304 | 0.0682<br>0.0176 | 14<br>13 | 0.1095<br>0.1104 |\n| M=20,µ=0.0526,σ=0.01550 |  |  |  |  |","| M=30,µ=0.0345,σ=0.02420 |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| CCBS<br>GCBS | 0.1123±0.0131<br>0.1166±0.0143 | 0.1679<br>0.0248 | 29<br>28 | 0.0339<br>0.0323 |",0]
["| DataSet | #classes | #instances | #dim. |\n| --- | --- | --- | --- |\n| Wdbc | 2 | 569 | 31 |\n| Ionosphere | 2 | 351 | 34 |","| Spectf | 2 | 267 | 44 |\n| --- | --- | --- | --- |\n| Spambase | 2 | 4,601 | 57 |\n| Colon | 2 | 62 | 2,000 |\n| Prostate | 2 | 102 | 6,033 |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",1]
["| DataSet | #classes | #instances | #dim. |\n| --- | --- | --- | --- |\n| Wdbc | 2 | 569 | 31 |\n| Ionosphere | 2 | 351 | 34 |","| Dataset | #Instances | #Dimensions |\n| --- | --- | --- |\n| Digits08 | 1500 | 16 |\n| Credit | 1000 | 61 |\n| Cancer | 699 | 10 |\n| Qsar | 1055 | 41 |\n| Sonar | 208 | 60 |\n| Theorem | 3060 | 51 |\n| Diabetes | 768 | 8 |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",0]
["| DataSet | #classes | #instances | #dim. |\n| --- | --- | --- | --- |\n| Wdbc | 2 | 569 | 31 |\n| Ionosphere | 2 | 351 | 34 |\n| Spectf | 2 | 267 | 44 |\n| Spambase | 2 | 4,601 | 57 |","| Colon | 2 | 62 | 2,000 |\n| --- | --- | --- | --- |\n| Prostate | 2 | 102 | 6,033 |\n| Leukemia | 2 | 72 | 7,129 |\n| Lungcancer | 2 | 181 | 12,533 |",1]
["| DataSet | #classes | #instances | #dim. |\n| --- | --- | --- | --- |\n| Wdbc | 2 | 569 | 31 |\n| Ionosphere | 2 | 351 | 34 |\n| Spectf | 2 | 267 | 44 |\n| Spambase | 2 | 4,601 | 57 |","| Diabetes | 768 | 8 |\n| --- | --- | --- |\n| Spambase | 4600 | 57 |\n| KDD99 | 494021 | 41 |\n| CAPTCHA | 1885 | 26 |",0]
["| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |","| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",1]
["| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |\n| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |","| APN24 | 1 | 20 | 0.9860 | 0.9882 | 360KB | 32.63FPS | APN12 | 2 | 20 | 0.9484 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| APN24 | 1 | 24 | 0.9825 | 0.9856 | 360KB | 43.39FPS | APN12 | 2 | 24 | 0.9354 |\n| APN24 | 2 | 16 | 0.9907 | 0.9946 | 360KB | 20.82FPS | APN24(S) | 2 | 16 | 0.9760 |\n| APN24 | 2 | 20 | 0.9888 | 0.9921 | 360KB | 29.68FPS | APN24(S) | 2 | 20 | 0.9604 |\n| APN24 | 2 | 24 | 0.9859 | 0.9901 | 360KB | 38.02FPS | APN24(S) | 2 | 24 | 0.9564 |",1]
["| Network | nC | Smin | R@50 | R@100 | Model | Speed | Network | nC | Smin | R@50 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PNet | 1 | 16 | 0.9604 | 0.9712 | 28KB | 25.17FPS | APN24 | 3 | 16 | 0.9920 |\n| PNet | 1 | 20 | 0.9557 | 0.9700 | 28KB | 33.75FPS | APN24 | 3 | 20 | 0.9898 |\n| PNet | 1 | 24 | 0.9540 | 0.9673 | 28KB | 43.15FPS | APN24 | 3 | 24 | 0.9851 |\n| APN24 | 1 | 16 | 0.9872 | 0.9910 | 360KB | 22.91FPS | APN12 | 2 | 16 | 0.9598 |","| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["|  | Yahoo!<br>TopT10T100Undis |  |  |  |\n| --- | --- | --- | --- | --- |\n| LNLS5 | 3.2 | 1.6 | 1.6 | 93.5 |\n| LNLS7 | 1.3 | 1.3 | 0 | 97.4 |\n| LS5-LNLS5 | 68.3 | 7.8 | 2.3 | 21.7 |","| LS5-LNLS7 | 67.6 | 8.1 | 2.3 | 22.0 |\n| --- | --- | --- | --- | --- |\n| LS7-LNLS5 | 67.3 | 4.9 | 1.9 | 25.9 |\n| LS7-LNLS7 | 66.7 | 4.9 | 1.9 | 26.5 |\n| TI-LNLS5 | 64.7 | 8.1 | 0.6 | 26.5 |\n| TI-LNLS7 | 64.1 | 8.7 | 0.6 | 26.5 |",1]
["|  | Yahoo!<br>TopT10T100Undis |  |  |  |\n| --- | --- | --- | --- | --- |\n| LNLS5 | 3.2 | 1.6 | 1.6 | 93.5 |\n| LNLS7 | 1.3 | 1.3 | 0 | 97.4 |\n| LS5-LNLS5 | 68.3 | 7.8 | 2.3 | 21.7 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |\n| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |\n| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |\n| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |\n| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |\n| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |\n| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |\n| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["|  | Yahoo!<br>TopT10T100Undis |  |  |  |\n| --- | --- | --- | --- | --- |\n| LNLS5 | 3.2 | 1.6 | 1.6 | 93.5 |\n| LNLS7 | 1.3 | 1.3 | 0 | 97.4 |\n| LS5-LNLS5 | 68.3 | 7.8 | 2.3 | 21.7 |","| LS5-LNLS7 | 67.6 | 8.1 | 2.3 | 22.0 |\n| --- | --- | --- | --- | --- |\n| LS7-LNLS5 | 67.3 | 4.9 | 1.9 | 25.9 |\n| LS7-LNLS7 | 66.7 | 4.9 | 1.9 | 26.5 |\n| TI-LNLS5 | 64.7 | 8.1 | 0.6 | 26.5 |\n| TI-LNLS7 | 64.1 | 8.7 | 0.6 | 26.5 |",1]
["|  | Yahoo!<br>TopT10T100Undis |  |  |  |\n| --- | --- | --- | --- | --- |\n| LNLS5 | 3.2 | 1.6 | 1.6 | 93.5 |\n| LNLS7 | 1.3 | 1.3 | 0 | 97.4 |\n| LS5-LNLS5 | 68.3 | 7.8 | 2.3 | 21.7 |","| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |\n| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |\n| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |\n| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |\n| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |\n| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 |",0]
["| Method | Year | P | R | F |\n| --- | --- | --- | --- | --- |\n| CCTN | – | 0.90 | 0.83 | 0.86 |\n| TextFlowetal. | 2015 | 0.85 | 0.76 | 0.80 |\n| Zhangetal. | 2015 | 0.88 | 0.74 | 0.80 |\n| Luetal. | 2015 | 0.89 | 0.70 | 0.78 |\n| NeumannandMatas | 2015 | 0.82 | 0.72 | 0.77 |","| FASText | 2015 | 0.84 | 0.69 | 0.77 |\n| --- | --- | --- | --- | --- |\n| iwrr2014 | 2014 | 0.86 | 0.70 | 0.77 |\n| USTBTexStar | 2014 | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 2012 | 0.88 | 0.65 | 0.75 |",1]
["| Method | Year | P | R | F |\n| --- | --- | --- | --- | --- |\n| CCTN | – | 0.90 | 0.83 | 0.86 |\n| TextFlowetal. | 2015 | 0.85 | 0.76 | 0.80 |\n| Zhangetal. | 2015 | 0.88 | 0.74 | 0.80 |\n| Luetal. | 2015 | 0.89 | 0.70 | 0.78 |\n| NeumannandMatas | 2015 | 0.82 | 0.72 | 0.77 |","|  | Year | R | P | F |\n| --- | --- | --- | --- | --- |\n| MSRA-TD500 |  |  |  |  |\n| CCTN | – | 0.65 | 0.79 | 0.71 |\n| Yinetal. | 2015 | 0.63 | 0.81 | 0.71 |\n| Yinetal. | 2014 | 0.61 | 0.71 | 0.66 |\n| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |\n| Kangetal. | 2014 | 0.62 | 0.71 | 0.66 |\n| Yaoetal. | 2012 | 0.63 | 0.63 | 0.60 |\n| ICDAR2011 |  |  |  |  |\n| CCTN | – | 0.79 | 0.88 | 0.84 |\n| Yinetal. | 2015 | 0.66 | 0.84 | 0.74 |\n| ICDAR2013 |  |  |  |  |\n| CCTN | – | 0.83 | 0.90 | 0.86 |\n| Yinetal. | 2015 | 0.65 | 0.84 | 0.73 |",0]
["| Method | Year | P | R | F |\n| --- | --- | --- | --- | --- |\n| CCTN | – | 0.90 | 0.83 | 0.86 |\n| TextFlowetal. | 2015 | 0.85 | 0.76 | 0.80 |\n| Zhangetal. | 2015 | 0.88 | 0.74 | 0.80 |\n| Luetal. | 2015 | 0.89 | 0.70 | 0.78 |\n| NeumannandMatas | 2015 | 0.82 | 0.72 | 0.77 |\n| FASText | 2015 | 0.84 | 0.69 | 0.77 |","| iwrr2014 | 2014 | 0.86 | 0.70 | 0.77 |\n| --- | --- | --- | --- | --- |\n| USTBTexStar | 2014 | 0.88 | 0.66 | 0.76 |\n| TextSpotter | 2012 | 0.88 | 0.65 | 0.75 |",1]
["| Method | Year | P | R | F |\n| --- | --- | --- | --- | --- |\n| CCTN | – | 0.90 | 0.83 | 0.86 |\n| TextFlowetal. | 2015 | 0.85 | 0.76 | 0.80 |\n| Zhangetal. | 2015 | 0.88 | 0.74 | 0.80 |\n| Luetal. | 2015 | 0.89 | 0.70 | 0.78 |\n| NeumannandMatas | 2015 | 0.82 | 0.72 | 0.77 |\n| FASText | 2015 | 0.84 | 0.69 | 0.77 |","| Yaoetal. | 2014 | 0.62 | 0.64 | 0.61 |\n| --- | --- | --- | --- | --- |\n| Kangetal. | 2014 | 0.62 | 0.71 | 0.66 |\n| Yaoetal. | 2012 | 0.63 | 0.63 | 0.60 |\n| ICDAR2011 |  |  |  |  |\n| CCTN | – | 0.79 | 0.88 | 0.84 |\n| Yinetal. | 2015 | 0.66 | 0.84 | 0.74 |\n| ICDAR2013 |  |  |  |  |\n| CCTN | – | 0.83 | 0.90 | 0.86 |\n| Yinetal. | 2015 | 0.65 | 0.84 | 0.73 |",0]
["| k/paa | 0.2 | 0.4 | 0.6 | 0.8 | 1 | 1.2 | 1.4 | 1.6 | 1.8 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | 0.0 | 0.0 | 5.9 | 13.0 | 21.7 | 27.3 | 29.4 | 29.4 | 29.4 | 29.4 |\n| Avg | 3.9 | 10.5 | 20.0 | 29.1 | 38.3 | 48.8 | 60.4 | 72.5 | 85.6 | 98.0 |","| Max | 10.0 | 18.2 | 50.0 | 62.5 | 87.5 | 112.5 | 137.5 | 150.0 | 175.0 | 187.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #Worse | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| #Better | 31 | 49 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |",1]
["| k/paa | 0.2 | 0.4 | 0.6 | 0.8 | 1 | 1.2 | 1.4 | 1.6 | 1.8 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | 0.0 | 0.0 | 5.9 | 13.0 | 21.7 | 27.3 | 29.4 | 29.4 | 29.4 | 29.4 |\n| Avg | 3.9 | 10.5 | 20.0 | 29.1 | 38.3 | 48.8 | 60.4 | 72.5 | 85.6 | 98.0 |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| k/paa | 0.2 | 0.4 | 0.6 | 0.8 | 1 | 1.2 | 1.4 | 1.6 | 1.8 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | 0.0 | 0.0 | 5.9 | 13.0 | 21.7 | 27.3 | 29.4 | 29.4 | 29.4 | 29.4 |\n| Avg | 3.9 | 10.5 | 20.0 | 29.1 | 38.3 | 48.8 | 60.4 | 72.5 | 85.6 | 98.0 |\n| Max | 10.0 | 18.2 | 50.0 | 62.5 | 87.5 | 112.5 | 137.5 | 150.0 | 175.0 | 187.5 |","| #Worse | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #Better | 31 | 49 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 |",1]
["| k/paa | 0.2 | 0.4 | 0.6 | 0.8 | 1 | 1.2 | 1.4 | 1.6 | 1.8 | 2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Min | 0.0 | 0.0 | 5.9 | 13.0 | 21.7 | 27.3 | 29.4 | 29.4 | 29.4 | 29.4 |\n| Avg | 3.9 | 10.5 | 20.0 | 29.1 | 38.3 | 48.8 | 60.4 | 72.5 | 85.6 | 98.0 |\n| Max | 10.0 | 18.2 | 50.0 | 62.5 | 87.5 | 112.5 | 137.5 | 150.0 | 175.0 | 187.5 |","| 0.0003 | 0.000193 | 2 | 0.218 |\n| --- | --- | --- | --- |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |\n| 0.001 | 0.000167 | 4 | 0.312 |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",0]
["| Layer | Structure |\n| --- | --- |\n| conv1 | f.64×11×11;st.4×4;pad.0;LRN.;×2pool |\n| conv2 | f.265×5×5;st.1×1;pad.2;LRN.;×2pool |\n| conv3 | f.265×3×3;st.1×1;pad.1 |","| conv4 | f.265×3×3;st.1×1;pad.1 |\n| --- | --- |\n| conv5 | f.265×3×3;st.1×1;pad.1;×2pool |\n| full6 | 4096 |\n| full7 | 4096 |\n| full8 | →k-bithashcode |",1]
["| Layer | Structure |\n| --- | --- |\n| conv1 | f.64×11×11;st.4×4;pad.0;LRN.;×2pool |\n| conv2 | f.265×5×5;st.1×1;pad.2;LRN.;×2pool |\n| conv3 | f.265×3×3;st.1×1;pad.1 |","| layer | type | kernelsize/stride | output | layer | type |\n| --- | --- | --- | --- | --- | --- |\n| 1-2 | conv+relu | (3,3)/1-(1,1)/1 | (128,128,32) | 13-14 | conv+relu |\n| 3-4 | conv+relu | (3,3)/2-(1,1)/1 | (64,64,32) | 15 | maxpool |\n| 5 | maxpool | (3,3)/2 | (32,32,32) | 16-17 | conv+relu |\n| 6-7 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 18-19 | conv+relu |\n| 8-9 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 20 | fc+relu+dropout |\n| 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |\n| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc |",0]
["| Layer | Structure |\n| --- | --- |\n| conv1 | f.64×11×11;st.4×4;pad.0;LRN.;×2pool |\n| conv2 | f.265×5×5;st.1×1;pad.2;LRN.;×2pool |\n| conv3 | f.265×3×3;st.1×1;pad.1 |\n| conv4 | f.265×3×3;st.1×1;pad.1 |","| conv5 | f.265×3×3;st.1×1;pad.1;×2pool |\n| --- | --- |\n| full6 | 4096 |\n| full7 | 4096 |\n| full8 | →k-bithashcode |",1]
["| Layer | Structure |\n| --- | --- |\n| conv1 | f.64×11×11;st.4×4;pad.0;LRN.;×2pool |\n| conv2 | f.265×5×5;st.1×1;pad.2;LRN.;×2pool |\n| conv3 | f.265×3×3;st.1×1;pad.1 |\n| conv4 | f.265×3×3;st.1×1;pad.1 |","| 6-7 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 18-19 | conv+relu |\n| --- | --- | --- | --- | --- | --- |\n| 8-9 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 20 | fc+relu+dropout |\n| 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |\n| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc |",0]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5306 | 0.546 | 0.5832 | 0.5832 | Deepwalk | 0.4755 | 0.4981 | 0.4981 |","| Line | 0.4695 | 0.6757 | 0.6908 | 0.7044 | Line | 0.4695 | 0.6112 | 0.6355 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Node2vec | 0.5380 | 0.5524 | 0.5692 | 0.6029 | Node2vec | 0.4633 | 0.4828 | 0.5108 |\n| TextOnly | 0.7030 | 0.7131 | 0.7121 | 0.7039 | TextOnly | 0.6305 | 0.6559 | 0.6683 |\n| Naivecombination | 0.7070 | 0.7042 | 0.7138 | 0.7012 | Naivecombination | 0.6684 | 0.6665 | 0.6779 |\n| TADW | 0.3952 | 0.5139 | 0.6751 | 0.718 | TADW | 0.3121 | 0.4465 | 0.6156 |\n| Deepwalk(hete) | 0.7077 | 0.7114 | 0.7213 | 0.6993 | Deepwalk(hete) | 0.6332 | 0.6531 | 0.6725 |\n| Line(hete) | 0.7159 | 0.7228 | 0.7165 | 0.7065 | Line(hete) | 0.6408 | 0.6569 | 0.655 |\n| Node2vec(hete) | 0.7185 | 0.7219 | 0.7222 | 0.7077 | Node2vec(hete) | 0.6487 | 0.6645 | 0.6764 |\n| GERI | 0.7427 | 0.7472 | 0.7457 | 0.7358 | GERI | 0.6794 | 0.6962 | 0.7004 |",1]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5306 | 0.546 | 0.5832 | 0.5832 | Deepwalk | 0.4755 | 0.4981 | 0.4981 |","| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |\n| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |\n| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |\n| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",0]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5306 | 0.546 | 0.5832 | 0.5832 | Deepwalk | 0.4755 | 0.4981 | 0.4981 |","| Line | 0.4695 | 0.6757 | 0.6908 | 0.7044 | Line | 0.4695 | 0.6112 | 0.6355 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Node2vec | 0.5380 | 0.5524 | 0.5692 | 0.6029 | Node2vec | 0.4633 | 0.4828 | 0.5108 |\n| TextOnly | 0.7030 | 0.7131 | 0.7121 | 0.7039 | TextOnly | 0.6305 | 0.6559 | 0.6683 |\n| Naivecombination | 0.7070 | 0.7042 | 0.7138 | 0.7012 | Naivecombination | 0.6684 | 0.6665 | 0.6779 |\n| TADW | 0.3952 | 0.5139 | 0.6751 | 0.718 | TADW | 0.3121 | 0.4465 | 0.6156 |\n| Deepwalk(hete) | 0.7077 | 0.7114 | 0.7213 | 0.6993 | Deepwalk(hete) | 0.6332 | 0.6531 | 0.6725 |\n| Line(hete) | 0.7159 | 0.7228 | 0.7165 | 0.7065 | Line(hete) | 0.6408 | 0.6569 | 0.655 |\n| Node2vec(hete) | 0.7185 | 0.7219 | 0.7222 | 0.7077 | Node2vec(hete) | 0.6487 | 0.6645 | 0.6764 |\n| GERI | 0.7427 | 0.7472 | 0.7457 | 0.7358 | GERI | 0.6794 | 0.6962 | 0.7004 |",1]
["| Micro-F1 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |\n| Deepwalk | 0.5306 | 0.546 | 0.5832 | 0.5832 | Deepwalk | 0.4755 | 0.4981 | 0.4981 |","| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |\n| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |\n| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |\n| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |\n| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |\n| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |\n| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |\n| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 |",0]
["| FOON<br>Selecte | TrialsforExperiment |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 |","| REG | 53 | 15 | 28 | 42 | 17 | 48 | 19 | 42 | 53 | 18 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| EXP | 55 | 23 | 32 | 53 | 28 | 54 | 27 | 47 | 62 | 14 |\n|  |  |  |  |  |  |  |  |  |  |  |",1]
["| FOON<br>Selecte | TrialsforExperiment |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 |","| Ground<br>truth | TIFFS |  |  |\n| --- | --- | --- | --- |\n| Extract | Match | Extract |  |\n| 352 | 358 | 181 | 351 |\n| 235 | 45 | 41 | 47 |\n| 47 | 32 | 28 | 34 |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |\n| 92 | 58 | 42 | 62 |\n| 1565 | 1074 | 681 | 1060 |",0]
["| FOON<br>Selecte | TrialsforExperiment |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 |","| REG | 53 | 15 | 28 | 42 | 17 | 48 | 19 | 42 | 53 | 18 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| EXP | 55 | 23 | 32 | 53 | 28 | 54 | 27 | 47 | 62 | 14 |\n|  |  |  |  |  |  |  |  |  |  |  |",1]
["| FOON<br>Selecte | TrialsforExperiment |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 |","| 47 | 32 | 28 | 34 |\n| --- | --- | --- | --- |\n| 79 | 61 | 52 | 57 |\n| 107 | 43 | 39 | 44 |\n| 169 | 71 | 58 | 67 |\n| 106 | 79 | 40 | 82 |\n| 22 | 15 | 10 | 14 |\n| 49 | 83 | 31 | 76 |\n| 100 | 63 | 45 | 62 |\n| 53 | 42 | 24 | 41 |\n| 37 | 45 | 21 | 42 |\n| 117 | 82 | 69 | 80 |\n| 92 | 58 | 42 | 62 |\n| 1565 | 1074 | 681 | 1060 |",0]
["| Dataset | Network | Loss | I.NetPre.? | R1 | mAP |\n| --- | --- | --- | --- | --- | --- |\n| Market | DGDNet | SID | YES<br>NO | 47.5<br>47.8 | 23.1<br>23.8 |","| SID+PV | YES<br>NO | 71.3<br>82.7 | 48.9<br>63.4 |  |  |\n| --- | --- | --- | --- | --- | --- |\n| GoogLeNet | SID | YES<br>NO | 76.6<br>55.0 | 51.7<br>31.4 |  |\n| SID+PV | YES<br>NO | 83.7<br>68.7 | 65.5<br>45.3 |  |  |\n| VIPeR | DGDNet | SID+PV | YES<br>NO | 37.4<br>51.5 | N/A<br>N/A |\n| GoogLeNet | SID+PV | YES<br>NO | 56.3<br>37.0 | N/A<br>N/A |  |",1]
["| Dataset | Network | Loss | I.NetPre.? | R1 | mAP |\n| --- | --- | --- | --- | --- | --- |\n| Market | DGDNet | SID | YES<br>NO | 47.5<br>47.8 | 23.1<br>23.8 |","|  | K=4 | K=8 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | GoogLeNet | VGG-16 | GoogLeNet | VGG-16 |  |  |  |  |\n|  | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm | Tcomp | Tcomm |\n| Plump-DP | 2.28 | 0.40 | 7.83 | 4.09 | 2.32 | 0.57 | 7.82 | 5.51 |\n| Quant-DP | 0.20 | 1.47 | 0.29 | 1.93 |  |  |  |  |\n| Slim-DP | 0.18 | 1.18 | 0.25 | 1.65 |  |  |  |  |",0]
["| Dataset | Network | Loss | I.NetPre.? | R1 | mAP |\n| --- | --- | --- | --- | --- | --- |\n| Market | DGDNet | SID | YES<br>NO | 47.5<br>47.8 | 23.1<br>23.8 |","| SID+PV | YES<br>NO | 71.3<br>82.7 | 48.9<br>63.4 |  |  |\n| --- | --- | --- | --- | --- | --- |\n| GoogLeNet | SID | YES<br>NO | 76.6<br>55.0 | 51.7<br>31.4 |  |\n| SID+PV | YES<br>NO | 83.7<br>68.7 | 65.5<br>45.3 |  |  |\n| VIPeR | DGDNet | SID+PV | YES<br>NO | 37.4<br>51.5 | N/A<br>N/A |\n| GoogLeNet | SID+PV | YES<br>NO | 56.3<br>37.0 | N/A<br>N/A |  |",1]
["| Dataset | Network | Loss | I.NetPre.? | R1 | mAP |\n| --- | --- | --- | --- | --- | --- |\n| Market | DGDNet | SID | YES<br>NO | 47.5<br>47.8 | 23.1<br>23.8 |","| Quant-DP | 0.20 | 1.47 | 0.29 | 1.93 |\n| --- | --- | --- | --- | --- |\n| Slim-DP | 0.18 | 1.18 | 0.25 | 1.65 |",0]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 85.4/60.9 | 70.0/50.3 | 75.0/53.7 |","| EP | 85.5/61.3 | 83.6/60.4 | 82.1/59.4 |\n| --- | --- | --- | --- |\n| JRC | 90.9/64.7 | 87.9/62.1 | 87.9/61.9 |",1]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 85.4/60.9 | 70.0/50.3 | 75.0/53.7 |","| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 33.1/30.5 | 26.2/27.4 | 24.6/26.8 |\n| EP | 35.4/35.9 | 38.6/37.4 | 37.7/37.0 |\n| JRC | 52.6/42.9 | 55.4/44.2 | 58.9/45.9 |",0]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 85.4/60.9 | 70.0/50.3 | 75.0/53.7 |","| EP | 85.5/61.3 | 83.6/60.4 | 82.1/59.4 |\n| --- | --- | --- | --- |\n| JRC | 90.9/64.7 | 87.9/62.1 | 87.9/61.9 |",1]
["| Ssrc | Stgt |  |  |\n| --- | --- | --- | --- |\n| OS | EP | JRC |  |\n| OS | 85.4/60.9 | 70.0/50.3 | 75.0/53.7 |","| OS | 33.1/30.5 | 26.2/27.4 | 24.6/26.8 |\n| --- | --- | --- | --- |\n| EP | 35.4/35.9 | 38.6/37.4 | 37.7/37.0 |\n| JRC | 52.6/42.9 | 55.4/44.2 | 58.9/45.9 |",0]
["| Methods | Accuracy |  |  |\n| --- | --- | --- | --- |\n|  | 1/3 | 2/3 | cross |\n| HOJ3D | 0.962 | 0.971 | 0.789 |\n| HMM+DBM | - | - | 0.820 |\n| EigenJoints | 0.958 | 0.977 | 0.823 |\n| HMM+GMM(ourimplementation) | 0.861 | 0.929 | 0.825 |\n| ActionletEnsemble(skeletondata) | - | - | 0.882 |\n| SkeletalQuads | - | - | 0.898 |","| LDS | - | - | 0.900 |\n| --- | --- | --- | --- |\n| Cov3DJ | - | - | 0.905 |\n| Our | 0.943 | 0.983 | 0.905 |\n| FSFJ3D | - | - | 0.909 |\n| KPLS | - | - | 0.923 |",1]
["| Methods | Accuracy |  |  |\n| --- | --- | --- | --- |\n|  | 1/3 | 2/3 | cross |\n| HOJ3D | 0.962 | 0.971 | 0.789 |\n| HMM+DBM | - | - | 0.820 |\n| EigenJoints | 0.958 | 0.977 | 0.823 |\n| HMM+GMM(ourimplementation) | 0.861 | 0.929 | 0.825 |\n| ActionletEnsemble(skeletondata) | - | - | 0.882 |\n| SkeletalQuads | - | - | 0.898 |","| Method | Lena |\n| --- | --- |\n| Bilinear | 30.13 |\n| Bicubic | 31.34 |\n| NEDI | 34.10 |\n| WZP-Haar | 31.46 |\n| WZP-Db.9/7 | 34.45 |\n| Careyetal. | 34.48 |\n| HMM | 34.52 |\n| HMM-SR | 34.61 |\n| WZP-CS | 34.93 |\n| SAI | 34.74 |\n| Iterative(2iter.) | 35.25 |\n| Iterative(10iter.) | 37.39 |\n| Hybrid(2iter.and1mod.) | 37.12 |\n| Opt.Hybrid(2iter.and1mod.) | 37.41 |",0]
["| Methods | Accuracy |  |  |\n| --- | --- | --- | --- |\n|  | 1/3 | 2/3 | cross |\n| HOJ3D | 0.962 | 0.971 | 0.789 |\n| HMM+DBM | - | - | 0.820 |\n| EigenJoints | 0.958 | 0.977 | 0.823 |\n| HMM+GMM(ourimplementation) | 0.861 | 0.929 | 0.825 |\n| ActionletEnsemble(skeletondata) | - | - | 0.882 |\n| SkeletalQuads | - | - | 0.898 |\n| LDS | - | - | 0.900 |\n| Cov3DJ | - | - | 0.905 |","| Our | 0.943 | 0.983 | 0.905 |\n| --- | --- | --- | --- |\n| FSFJ3D | - | - | 0.909 |\n| KPLS | - | - | 0.923 |",1]
["| Methods | Accuracy |  |  |\n| --- | --- | --- | --- |\n|  | 1/3 | 2/3 | cross |\n| HOJ3D | 0.962 | 0.971 | 0.789 |\n| HMM+DBM | - | - | 0.820 |\n| EigenJoints | 0.958 | 0.977 | 0.823 |\n| HMM+GMM(ourimplementation) | 0.861 | 0.929 | 0.825 |\n| ActionletEnsemble(skeletondata) | - | - | 0.882 |\n| SkeletalQuads | - | - | 0.898 |\n| LDS | - | - | 0.900 |\n| Cov3DJ | - | - | 0.905 |","| Hybrid(2iter.and1mod.) | 37.12 |\n| --- | --- |\n| Opt.Hybrid(2iter.and1mod.) | 37.41 |",0]
["| Range | Parallels | CCs | Independents |\n| --- | --- | --- | --- |\n| 5 | 5 | 0 | 5 |\n| 9 | 9 | 0 | 9 |\n| 17 | 16.97 | 0.03 | 16.94 |","| 33 | 32.93 | 0.07 | 32.86 |\n| --- | --- | --- | --- |\n| 65 | 64.81 | 0.18 | 64.63 |\n| 129 | 128.44 | 0.54 | 127.9 |\n| 257 | 255.27 | 1.67 | 253.6 |\n| 513 | 508.42 | 4.35 | 504.07 |\n| 1025 | 1012.16 | 12.32 | 999.84 |\n| 2049 | 2016.82 | 30.92 | 1985.9 |\n| 4097 | 4021.72 | 72.44 | 3949.28 |\n| 8193 | 8026.04 | 161.06 | 7864.98 |\n| 16385 | 16036.87 | 335.95 | 15700.92 |\n| 32769 | 32058.47 | 685.59 | 31372.88 |\n| 65537 | 64101.76 | 1384.98 | 62716.78 |",1]
["| Range | Parallels | CCs | Independents |\n| --- | --- | --- | --- |\n| 5 | 5 | 0 | 5 |\n| 9 | 9 | 0 | 9 |\n| 17 | 16.97 | 0.03 | 16.94 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| Range | Parallels | CCs | Independents |\n| --- | --- | --- | --- |\n| 5 | 5 | 0 | 5 |\n| 9 | 9 | 0 | 9 |\n| 17 | 16.97 | 0.03 | 16.94 |\n| 33 | 32.93 | 0.07 | 32.86 |\n| 65 | 64.81 | 0.18 | 64.63 |\n| 129 | 128.44 | 0.54 | 127.9 |\n| 257 | 255.27 | 1.67 | 253.6 |\n| 513 | 508.42 | 4.35 | 504.07 |","| 1025 | 1012.16 | 12.32 | 999.84 |\n| --- | --- | --- | --- |\n| 2049 | 2016.82 | 30.92 | 1985.9 |\n| 4097 | 4021.72 | 72.44 | 3949.28 |\n| 8193 | 8026.04 | 161.06 | 7864.98 |\n| 16385 | 16036.87 | 335.95 | 15700.92 |\n| 32769 | 32058.47 | 685.59 | 31372.88 |\n| 65537 | 64101.76 | 1384.98 | 62716.78 |",1]
["| Range | Parallels | CCs | Independents |\n| --- | --- | --- | --- |\n| 5 | 5 | 0 | 5 |\n| 9 | 9 | 0 | 9 |\n| 17 | 16.97 | 0.03 | 16.94 |\n| 33 | 32.93 | 0.07 | 32.86 |\n| 65 | 64.81 | 0.18 | 64.63 |\n| 129 | 128.44 | 0.54 | 127.9 |\n| 257 | 255.27 | 1.67 | 253.6 |\n| 513 | 508.42 | 4.35 | 504.07 |","| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| --- | --- | --- | --- | --- | --- | --- |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 8.28 | 6.70 | 7.25 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 7.87 | 6.97 | 7.14 |\n| White-Patch(WP) | 6.80 | 5.30 | 5.77 |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |\n| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Learning-basedmethods |  |  |  |\n| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |\n| Edge-basedgamut | 6.81 | 5.81 | 6.03 |\n| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |\n| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |\n| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |\n| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |\n| ColorCat(CC) | 4.22 | 3.17 | 3.46 |\n| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |","| SmartColorCat(SCC) | 4.62 | 3.52 | 3.80 |\n| --- | --- | --- | --- |\n| ColorDogSCC | 4.80 | 3.08 | 3.71 |\n| ColorDogCC | 4.50 | 2.86 | 3.50 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 8.28 | 6.70 | 7.25 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 7.87 | 6.97 | 7.14 |\n| White-Patch(WP) | 6.80 | 5.30 | 5.77 |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |\n| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Learning-basedmethods |  |  |  |\n| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |\n| Edge-basedgamut | 6.81 | 5.81 | 6.03 |\n| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |\n| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |\n| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |\n| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |\n| ColorCat(CC) | 4.22 | 3.17 | 3.46 |\n| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |","| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 15.62 | 14.00 | 14.56 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 13.01 | 10.96 | 11.53 |\n| White-Patch(WP) | 12.68 | 10.50 | 11.25 |\n| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Learning-basedmethods |  |  |  |\n| Edge-basedgamut | 12.78 | 10.88 | 11.38 |\n| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |\n| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |\n| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |\n| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |\n| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |\n| ColorCat(CC) | 8.73 | 7.07 | 7.43 |\n| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |\n| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 |\n| ColorDogCC | 8.81 | 5.98 | 6.97 |\n| ColorDogSCC | 8.51 | 5.55 | 6.56 |",0]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 8.28 | 6.70 | 7.25 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 7.87 | 6.97 | 7.14 |\n| White-Patch(WP) | 6.80 | 5.30 | 5.77 |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |\n| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Learning-basedmethods |  |  |  |\n| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |\n| Edge-basedgamut | 6.81 | 5.81 | 6.03 |\n| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |\n| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |\n| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |\n| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |\n| ColorCat(CC) | 4.22 | 3.17 | 3.46 |\n| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |\n| SmartColorCat(SCC) | 4.62 | 3.52 | 3.80 |","| ColorDogSCC | 4.80 | 3.08 | 3.71 |\n| --- | --- | --- | --- |\n| ColorDogCC | 4.50 | 2.86 | 3.50 |",1]
["| method | mean() | median() | trimean() |\n| --- | --- | --- | --- |\n| donothing | 8.28 | 6.70 | 7.25 |\n| Low-levelstatistics-basedmethods |  |  |  |\n| Gray-world(GW) | 7.87 | 6.97 | 7.14 |\n| White-Patch(WP) | 6.80 | 5.30 | 5.77 |\n| Shades-of-Gray | 6.14 | 5.33 | 5.51 |\n| GeneralGray-World | 6.14 | 5.33 | 5.51 |\n| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |\n| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |\n| Learning-basedmethods |  |  |  |\n| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |\n| Edge-basedgamut | 6.81 | 5.81 | 6.03 |\n| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |\n| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |\n| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |\n| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |\n| ColorCat(CC) | 4.22 | 3.17 | 3.46 |\n| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |\n| SmartColorCat(SCC) | 4.62 | 3.52 | 3.80 |","| Shades-of-Gray | 11.55 | 9.70 | 10.23 |\n| --- | --- | --- | --- |\n| GeneralGray-World | 11.55 | 9.70 | 10.23 |\n| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |\n| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |\n| Learning-basedmethods |  |  |  |\n| Edge-basedgamut | 12.78 | 10.88 | 11.38 |\n| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |\n| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |\n| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |\n| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |\n| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |\n| ColorCat(CC) | 8.73 | 7.07 | 7.43 |\n| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |\n| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 |\n| ColorDogCC | 8.81 | 5.98 | 6.97 |\n| ColorDogSCC | 8.51 | 5.55 | 6.56 |",0]
["|  | HMDB51 | Hw2 | UCF101 | UCF50 |\n| --- | --- | --- | --- | --- |\n| Traj | 31.9 | 42.7 | 55.2 | 69.3 |\n| HOG<br>LOP | 42.0<br>47.2 | 47.4<br>54.3 | 72.4<br>79.3 | 77.5<br>83.2 |","| HOF<br>MBH<br>LOF | 49.8<br>52.4<br>51.0 | 55.0<br>60.8<br>55.4 | 74.6<br>81.4<br>81.2 | 86.1<br>87.0<br>86.8 |\n| --- | --- | --- | --- | --- |\n| Handcrafted<br>Traj+Learned | 59.1<br>56.1 | 64.5<br>61.1 | 85.5<br>85.9 | 90.2<br>89.3 |\n| Hybrid | 62.3 | 65.5 | 87.5 | 92.0 |",1]
["|  | HMDB51 | Hw2 | UCF101 | UCF50 |\n| --- | --- | --- | --- | --- |\n| Traj | 31.9 | 42.7 | 55.2 | 69.3 |\n| HOG<br>LOP | 42.0<br>47.2 | 47.4<br>54.3 | 72.4<br>79.3 | 77.5<br>83.2 |","| Cate. | Bench. | RPKI | RG | WPKI | WG | R/T |\n| --- | --- | --- | --- | --- | --- | --- |\n| FINE<br>FINE<br>FINE<br>FINE | GUPS<br>SSCA2<br>canl.<br>park. | 69.67<br>20.89<br>17.79<br>9.76 | 1.78<br>1.68<br>1.64<br>2.42 | 69.62<br>20.42<br>8.64<br>6.14 | 1.78<br>1.56<br>1.10<br>2.74 | 1.00<br>1.02<br>2.06<br>1.59 |\n| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |\n| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["|  | HMDB51 | Hw2 | UCF101 | UCF50 |\n| --- | --- | --- | --- | --- |\n| Traj | 31.9 | 42.7 | 55.2 | 69.3 |","| HOG<br>LOP | 42.0<br>47.2 | 47.4<br>54.3 | 72.4<br>79.3 | 77.5<br>83.2 |\n| --- | --- | --- | --- | --- |\n| HOF<br>MBH<br>LOF | 49.8<br>52.4<br>51.0 | 55.0<br>60.8<br>55.4 | 74.6<br>81.4<br>81.2 | 86.1<br>87.0<br>86.8 |\n| Handcrafted<br>Traj+Learned | 59.1<br>56.1 | 64.5<br>61.1 | 85.5<br>85.9 | 90.2<br>89.3 |\n| Hybrid | 62.3 | 65.5 | 87.5 | 92.0 |",1]
["|  | HMDB51 | Hw2 | UCF101 | UCF50 |\n| --- | --- | --- | --- | --- |\n| Traj | 31.9 | 42.7 | 55.2 | 69.3 |","| MID<br>MID | lirk.<br>BFS | 22.56<br>22.36 | 3.56<br>3.10 | 15.45<br>2.44 | 3.37<br>3.49 | 1.46<br>9.16 |\n| --- | --- | --- | --- | --- | --- | --- |\n| COR<br>COR<br>COR<br>COR<br>COR<br>COR<br>COR | STRM.<br>bt<br>ft<br>sp<br>ua<br>ScPC.<br>perM | 33.33<br>7.68<br>31.85<br>8.04<br>4.42<br>11.00<br>2.62 | 8.00<br>7.98<br>8.00<br>7.98<br>7.19<br>5.65<br>6.28 | 16.63<br>7.63<br>31.72<br>7.89<br>3.80<br>3.85<br>2.40 | 8.00<br>7.98<br>8.00<br>7.98<br>7.92<br>5.74<br>6.12 | 2.00<br>1.01<br>1.00<br>1.02<br>1.16<br>2.86<br>1.09 |\n| Note,canl.:canneal,park.:pagerank,<br>lirk.:listrank,STRM.:STREAM,ScPC:ScaleParC. |  |  |  |  |  |  |",0]
["| W | F | SF | QF | R16 | R32 | R64 | R128 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GrandSlam | 2000 | 1200 | 720 | 360 | 180 | 90 | 45 | 10 |\n| ATPWorldTourFinals | +500 | +400 | +200pointsforeachroundrobinmatchwin |  |  |  |  |  |\n| Masters1000 | 1000 | 600 | 360 | 180 | 90 | 45 | 25 | 15 |","| ATP500 | 500 | 300 | 180 | 90 | 45 | 20 | 10 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ATP250 | 250 | 150 | 90 | 45 | 20 | 10 | 5 |  |",1]
["| W | F | SF | QF | R16 | R32 | R64 | R128 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GrandSlam | 2000 | 1200 | 720 | 360 | 180 | 90 | 45 | 10 |\n| ATPWorldTourFinals | +500 | +400 | +200pointsforeachroundrobinmatchwin |  |  |  |  |  |\n| Masters1000 | 1000 | 600 | 360 | 180 | 90 | 45 | 25 | 15 |","| m | 2,000 | 4,000 | 6,000 | 8,000 | 10,000 |\n| --- | --- | --- | --- | --- | --- |\n| CW | 99min | 102min | 121min | 155min | 190min |\n| QC | 0.985 | 0.994 | 0.995 | 0.995 | 0.997 |\n| CC | 95min | 123min | 132min | 141min | 151min |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",0]
["| W | F | SF | QF | R16 | R32 | R64 | R128 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GrandSlam | 2000 | 1200 | 720 | 360 | 180 | 90 | 45 | 10 |","| ATPWorldTourFinals | +500 | +400 | +200pointsforeachroundrobinmatchwin |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Masters1000 | 1000 | 600 | 360 | 180 | 90 | 45 | 25 | 15 |\n| ATP500 | 500 | 300 | 180 | 90 | 45 | 20 | 10 |  |\n| ATP250 | 250 | 150 | 90 | 45 | 20 | 10 | 5 |  |",1]
["| W | F | SF | QF | R16 | R32 | R64 | R128 |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| GrandSlam | 2000 | 1200 | 720 | 360 | 180 | 90 | 45 | 10 |","| CC | 95min | 123min | 132min | 141min | 151min |\n| --- | --- | --- | --- | --- | --- |\n| QD | 0.92 | 0.96 | 0.97 | 0.97 | 0.98 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 3.72 | 20.1 |\n| Ridgeregression | 3.59 | 19.0 |\n| Cumulativeattributeregression | 3.43 | 17.7 |\n| Countforest | 2.50 | 10.0 |\n| ConvLSTM-nt | 2.53 | 11.2 |","| ConvLSTM | 2.24 | 8.5 |\n| --- | --- | --- |\n| BidirectionalConvLSTM | 2.10 | 7.6 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 3.72 | 20.1 |\n| Ridgeregression | 3.59 | 19.0 |\n| Cumulativeattributeregression | 3.43 | 17.7 |\n| Countforest | 2.50 | 10.0 |\n| ConvLSTM-nt | 2.53 | 11.2 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| KernelRidgeRegression | 2.16 | 7.45 |\n| RidgeRegression | 2.25 | 7.82 |\n| GaussianProcessRegression | 2.24 | 7.97 |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| OPT-RC | 2.03 | 5.97 |\n| FCN-MT | 1.67 | 3.41 |",0]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 3.72 | 20.1 |\n| Ridgeregression | 3.59 | 19.0 |\n| Cumulativeattributeregression | 3.43 | 17.7 |","| Countforest | 2.50 | 10.0 |\n| --- | --- | --- |\n| ConvLSTM-nt | 2.53 | 11.2 |\n| ConvLSTM | 2.24 | 8.5 |\n| BidirectionalConvLSTM | 2.10 | 7.6 |",1]
["| Method | MAE | MSE |\n| --- | --- | --- |\n| Gaussianprocessregression | 3.72 | 20.1 |\n| Ridgeregression | 3.59 | 19.0 |\n| Cumulativeattributeregression | 3.43 | 17.7 |","| GaussianProcessRegression | 2.24 | 7.97 |\n| --- | --- | --- |\n| CumulativeAttributeRegression | 2.07 | 6.86 |\n| Cross-sceneDNN | 1.6 | 3.31 |\n| OPT-RC | 2.03 | 5.97 |\n| FCN-MT | 1.67 | 3.41 |",0]
["| Resource/Number | Symbol |\n| --- | --- |\n| #PEs | P |","| internalmemory(in#elements) | M |\n| --- | --- |\n| #disks | D |\n| blocksize(in#elements)intheEMmodel | B |\n| #elements | N |\n| #runs | R |",1]
["| Resource/Number | Symbol |\n| --- | --- |\n| #PEs | P |","| FileSize(MB) | No.OfAttackers | TraﬃcVol. |\n| --- | --- | --- |\n| 10 | 100 | 0.22GB |\n| 50 | 500 | 0.67GB |\n| 100 | 1500 | 1.67GB |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| Resource/Number | Symbol |\n| --- | --- |\n| #PEs | P |\n| internalmemory(in#elements) | M |\n| #disks | D |\n| blocksize(in#elements)intheEMmodel | B |","| #elements | N |\n| --- | --- |\n| #runs | R |",1]
["| Resource/Number | Symbol |\n| --- | --- |\n| #PEs | P |\n| internalmemory(in#elements) | M |\n| #disks | D |\n| blocksize(in#elements)intheEMmodel | B |","| 100 | 1500 | 1.67GB |\n| --- | --- | --- |\n| 200 | 2000 | 3.23GB |\n| 400 | 4000 | 5.91GB |\n| 600 | 6000 | 9.14GB |\n| 800 | 8000 | 12.37GB |\n| 1000 | 10,000 | 15.83GB |",0]
["| Method | TripAdvisorData | OpenTableData |\n| --- | --- | --- |\n| PMF | 0.016 | 0.142 |\n| BPMF | 0.219 | 0.133 |\n| URP | 0.238 | 0.177 |\n| SVD++ | 0.364 | 0.201 |\n| BHFree | 0.359 | 0.205 |\n| LARA | 0.289 | 0.152 |","| OrdRec+SVD++ | 0.148 | 0.262 |\n| --- | --- | --- |\n| OrdinalAspectBias | 0.404 | 0.298 |",1]
["| Method | TripAdvisorData | OpenTableData |\n| --- | --- | --- |\n| PMF | 0.016 | 0.142 |\n| BPMF | 0.219 | 0.133 |\n| URP | 0.238 | 0.177 |\n| SVD++ | 0.364 | 0.201 |\n| BHFree | 0.359 | 0.205 |\n| LARA | 0.289 | 0.152 |","| Database | Onenode | 4nodeswith<br>com.time | 4nodes<br>withoutcom.<br>time | com.time |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Win | Linux | Win | Linux | Win | Linux | Win | Linux |\n| Drosoph | 0.08 | 0.06 | 0.038 | 0.023 | 0.0235 | 0.0188 | 0.0145 | 0.0042 |\n| Pataa | 0.5 | 0.4 | 0.1344 | 0.1 | 0.0184 | 0.014 | 0.116 | 0.086 |\n| estothers | 1 | 0.8 | 0.5799 | 0.421 | 0.0343 | 0.035 | 0.5456 | 0.386 |\n| envnr | 18 | 15 | 4.0308 | 3.5132 | 0.5308 | 0.5132 | 3.5 | 3 |\n| Nr | 27 | 24 | 7.2077 | 6.1163 | 0.4077 | 0.6163 | 6.8 | 5.5 |",0]
["| Method | TripAdvisorData | OpenTableData |\n| --- | --- | --- |\n| PMF | 0.016 | 0.142 |\n| BPMF | 0.219 | 0.133 |\n| URP | 0.238 | 0.177 |\n| SVD++ | 0.364 | 0.201 |\n| BHFree | 0.359 | 0.205 |","| LARA | 0.289 | 0.152 |\n| --- | --- | --- |\n| OrdRec+SVD++ | 0.148 | 0.262 |\n| OrdinalAspectBias | 0.404 | 0.298 |",1]
["| Method | TripAdvisorData | OpenTableData |\n| --- | --- | --- |\n| PMF | 0.016 | 0.142 |\n| BPMF | 0.219 | 0.133 |\n| URP | 0.238 | 0.177 |\n| SVD++ | 0.364 | 0.201 |\n| BHFree | 0.359 | 0.205 |","| Pataa | 0.5 | 0.4 | 0.1344 | 0.1 | 0.0184 | 0.014 | 0.116 | 0.086 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| estothers | 1 | 0.8 | 0.5799 | 0.421 | 0.0343 | 0.035 | 0.5456 | 0.386 |\n| envnr | 18 | 15 | 4.0308 | 3.5132 | 0.5308 | 0.5132 | 3.5 | 3 |\n| Nr | 27 | 24 | 7.2077 | 6.1163 | 0.4077 | 0.6163 | 6.8 | 5.5 |",0]
["| No.ofKeys | Local | Global |\n| --- | --- | --- |\n| (Tk)key | Tkey | Tkey |","|  | 2 | 4 | 2 | 4 |\n| --- | --- | --- | --- | --- |\n| 40 | 0.29 | 0.18 | 99.63 | 99.71 |\n| 60 | 0.49 | 0.35 | 99.84 | 99.92 |\n| 100 | 0.69 | 0.66 | 99.88 | 99.92 |",1]
["| No.ofKeys | Local | Global |\n| --- | --- | --- |\n| (Tk)key | Tkey | Tkey |","| TPKETime(ms) |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| n | t | r | KeyGen | Encrypt | Decrypt | Combine | KeyGen | Encrypt |\n| 4 | 3 | 2 | 2.184 | 0.263 | 0.145 | 0.309 | 4.978 | 0.390 |\n| 4 | 3 | 2 | 9.499 | 0.517 | 0.312 | 0.566 | 11.59 | 0.839 |\n| 4 | 3 | 2 | 68.08 | 1.311 | 0.797 | 1.318 | 34.53 | 1.890 |",0]
["| No.ofKeys | Local | Global |\n| --- | --- | --- |\n| (Tk)key | Tkey | Tkey |","|  | 2 | 4 | 2 | 4 |\n| --- | --- | --- | --- | --- |\n| 40 | 0.29 | 0.18 | 99.63 | 99.71 |\n| 60 | 0.49 | 0.35 | 99.84 | 99.92 |\n| 100 | 0.69 | 0.66 | 99.88 | 99.92 |",1]
["| No.ofKeys | Local | Global |\n| --- | --- | --- |\n| (Tk)key | Tkey | Tkey |","| 4 | 3 | 2 | 9.499 | 0.517 | 0.312 | 0.566 | 11.59 | 0.839 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 4 | 3 | 2 | 68.08 | 1.311 | 0.797 | 1.318 | 34.53 | 1.890 |",0]
["| Model | 12-relMAP | 9-relMAP |\n| --- | --- | --- |\n| RPA | 67.5 | - |\n| TransE | 75.0 | - |\n| TransR | 74.0 | - |","| TransD | 77.3 | - |\n| --- | --- | --- |\n| TransH | 75.1 | - |\n| MINERVA | - | 88.2 |\n| DeepPath | 79.6 | 80.2 |\n| RNN-Chain | 79.0 | 80.2 |\n| CNNPath-Reasoner | 82.0 | 82.2 |\n|  | 88.6 | 87.9 |",1]
["| Model | 12-relMAP | 9-relMAP |\n| --- | --- | --- |\n| RPA | 67.5 | - |\n| TransE | 75.0 | - |\n| TransR | 74.0 | - |","| Model | 20-relMAP |\n| --- | --- |\n| PRA | 54.1 |\n| TransE | 53.2 |\n| TransR | 54.0 |\n| MINERVA | 55.2 |\n| DeepPath | 57.2 |\n| RNN-Chain | 51.2 |\n| CNNPath-Reasoner | 54.2 |\n| MML | 58.7 |\n|  | 59.8 |",0]
["| Model | 12-relMAP | 9-relMAP |\n| --- | --- | --- |\n| RPA | 67.5 | - |\n| TransE | 75.0 | - |\n| TransR | 74.0 | - |\n| TransD | 77.3 | - |\n| TransH | 75.1 | - |\n| MINERVA | - | 88.2 |","| DeepPath | 79.6 | 80.2 |\n| --- | --- | --- |\n| RNN-Chain | 79.0 | 80.2 |\n| CNNPath-Reasoner | 82.0 | 82.2 |\n|  | 88.6 | 87.9 |",1]
["| Model | 12-relMAP | 9-relMAP |\n| --- | --- | --- |\n| RPA | 67.5 | - |\n| TransE | 75.0 | - |\n| TransR | 74.0 | - |\n| TransD | 77.3 | - |\n| TransH | 75.1 | - |\n| MINERVA | - | 88.2 |","| TransE | 53.2 |\n| --- | --- |\n| TransR | 54.0 |\n| MINERVA | 55.2 |\n| DeepPath | 57.2 |\n| RNN-Chain | 51.2 |\n| CNNPath-Reasoner | 54.2 |\n| MML | 58.7 |\n|  | 59.8 |",0]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.40 | OurApproach(α=2) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | OurApproach(α=16) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | IntuitiveSolution | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | XO-QP(NoDist) | blame,ﬁght,drama,squatter | 0.5 | 0.92 |\n| q.40 | XO-QP(Dist) | blame,ﬁght,drama,intruder | 0.3 | 0.94 |\n| q.70 | OurApproach(α=2) | massacre,panic,betrayal | 0.2 | 0.87 |\n| q.70 | OurApproach(α=16) | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | IntuitiveSolution | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | uxoricide,apprehension,betrayal | 0.1 | 0.8 |\n| q.70 | XO-QP(Dist) | hit,panic,betrayal | 0.3 | 0.8 |\n| q.90 | OurApproach(α=2) | call,betrayal,fear,english | 0.1 | 0.85 |\n| q.90 | OurApproach(α=16) | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | IntuitiveSolution | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | XO-QP(NoDist) | bias,treachery,fear,english | 0.5 | 0.93 |","| q.90 | XO-QP(Dist) | tilt,betrayal,fear,english | 0.4 | 0.93 |\n| --- | --- | --- | --- | --- |\n| q.100 | OurApproach(α=2) | murderer,extortion,blood | 0.3 | 0.76 |\n| q.100 | OurApproach(α=16) | crook,extortion,desolation | 0.1 | 0.94 |\n| q.100 | IntuitiveSolution | crook,extortion,desolation | 0.1 | 0.94 |\n| q.100 | XO-QP(NoDist) | outlaw,extortion,desolation | 0.3 | 0.94 |\n| q.100 | XO-QP(Dist) | outlaw,extortion,desolation | 0.3 | 0.94 |\n| q.120 | OurApproach(α=2) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | OurApproach(α=16) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | IntuitiveSolution | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | XO-QP(NoDist) | madness,drama,ﬁght,triumph | 0.6 | 0.94 |\n| q.120 | XO-QP(Dist) | madness,drama,ﬁght,win | 0.4 | 0.87 |",1]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.40 | OurApproach(α=2) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | OurApproach(α=16) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | IntuitiveSolution | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | XO-QP(NoDist) | blame,ﬁght,drama,squatter | 0.5 | 0.92 |\n| q.40 | XO-QP(Dist) | blame,ﬁght,drama,intruder | 0.3 | 0.94 |\n| q.70 | OurApproach(α=2) | massacre,panic,betrayal | 0.2 | 0.87 |\n| q.70 | OurApproach(α=16) | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | IntuitiveSolution | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | uxoricide,apprehension,betrayal | 0.1 | 0.8 |\n| q.70 | XO-QP(Dist) | hit,panic,betrayal | 0.3 | 0.8 |\n| q.90 | OurApproach(α=2) | call,betrayal,fear,english | 0.1 | 0.85 |\n| q.90 | OurApproach(α=16) | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | IntuitiveSolution | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | XO-QP(NoDist) | bias,treachery,fear,english | 0.5 | 0.93 |","| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.10 | OurApproach(α=2) | emergency,research,system | 0.4 | 0.88 |\n| q.10 | OurApproach(α=16) | emergency,research,system | 0.4 | 0.88 |\n| q.10 | IntuitiveSolution | emergency,research,system | 0.4 | 0.88 |\n| q.10 | XO-QP(NoDist) | pinch,breakdown,system | 0.6 | 0.94 |\n| q.10 | XO-QP(Dist) | pinch,breakdown,system | 0.6 | 0.94 |\n| q.70 | OurApproach(α=2) | online,content,exchange | 0.1 | 0.52 |\n| q.70 | OurApproach(α=16) | online,faith,merchandising | 0.1 | 1 |\n| q.70 | IntuitiveSolution | online,faith,merchandising | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | online,faith,trading | 1 | 1 |\n| q.70 | XO-QP(Dist) | online,faith,trading | 1 | 1 |\n| q.80 | OurApproach(α=2) | impact,order,analysis,system | 0.1 | 0.69 |\n| q.80 | OurApproach(α=16) | impact,order,analysis,system | 0.1 | 0.69 |\n| q.80 | IntuitiveSolution | wake,variety,analysis,system | 0.1 | 0.94 |\n| q.80 | XO-QP(NoDist) | wake,variety,analysis,system | 1 | 0.94 |\n| q.80 | XO-QP(Dist) | wake,variety,analysis,system | 1 | 0.94 |\n| q.100 | OurApproach(α=2) | whole,study,analysis,system | 0.1 | 0.24 |\n| q.100 | OurApproach(α=16) | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | IntuitiveSolution | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | XO-QP(NoDist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.100 | XO-QP(Dist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.110 | OurApproach(α=2) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | OurApproach(α=16) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | IntuitiveSolution | hint,testing,system | 0.1 | 0.9 |\n| q.110 | XO-QP(NoDist) | hint,search,system | 0.7 | 0.9 |\n| q.110 | XO-QP(Dist) | hint,search,system | 0.7 | 0.9 |",0]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.40 | OurApproach(α=2) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | OurApproach(α=16) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | IntuitiveSolution | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | XO-QP(NoDist) | blame,ﬁght,drama,squatter | 0.5 | 0.92 |\n| q.40 | XO-QP(Dist) | blame,ﬁght,drama,intruder | 0.3 | 0.94 |\n| q.70 | OurApproach(α=2) | massacre,panic,betrayal | 0.2 | 0.87 |\n| q.70 | OurApproach(α=16) | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | IntuitiveSolution | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | uxoricide,apprehension,betrayal | 0.1 | 0.8 |\n| q.70 | XO-QP(Dist) | hit,panic,betrayal | 0.3 | 0.8 |\n| q.90 | OurApproach(α=2) | call,betrayal,fear,english | 0.1 | 0.85 |\n| q.90 | OurApproach(α=16) | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | IntuitiveSolution | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | XO-QP(NoDist) | bias,treachery,fear,english | 0.5 | 0.93 |\n| q.90 | XO-QP(Dist) | tilt,betrayal,fear,english | 0.4 | 0.93 |\n| q.100 | OurApproach(α=2) | murderer,extortion,blood | 0.3 | 0.76 |","| q.100 | OurApproach(α=16) | crook,extortion,desolation | 0.1 | 0.94 |\n| --- | --- | --- | --- | --- |\n| q.100 | IntuitiveSolution | crook,extortion,desolation | 0.1 | 0.94 |\n| q.100 | XO-QP(NoDist) | outlaw,extortion,desolation | 0.3 | 0.94 |\n| q.100 | XO-QP(Dist) | outlaw,extortion,desolation | 0.3 | 0.94 |\n| q.120 | OurApproach(α=2) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | OurApproach(α=16) | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | IntuitiveSolution | enthusiasm,drama,ﬁght,triumph | 0.1 | 1 |\n| q.120 | XO-QP(NoDist) | madness,drama,ﬁght,triumph | 0.6 | 0.94 |\n| q.120 | XO-QP(Dist) | madness,drama,ﬁght,win | 0.4 | 0.87 |",1]
["| OriginalQuery | Method | Top-1CandidateQuery | η(R,q) | λ(q,q)0 |\n| --- | --- | --- | --- | --- |\n| q.40 | OurApproach(α=2) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | OurApproach(α=16) | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | IntuitiveSolution | blame,ﬁght,drama,intruder | 0.1 | 0.94 |\n| q.40 | XO-QP(NoDist) | blame,ﬁght,drama,squatter | 0.5 | 0.92 |\n| q.40 | XO-QP(Dist) | blame,ﬁght,drama,intruder | 0.3 | 0.94 |\n| q.70 | OurApproach(α=2) | massacre,panic,betrayal | 0.2 | 0.87 |\n| q.70 | OurApproach(α=16) | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | IntuitiveSolution | slaughter,treachery,revulsion | 0.1 | 1 |\n| q.70 | XO-QP(NoDist) | uxoricide,apprehension,betrayal | 0.1 | 0.8 |\n| q.70 | XO-QP(Dist) | hit,panic,betrayal | 0.3 | 0.8 |\n| q.90 | OurApproach(α=2) | call,betrayal,fear,english | 0.1 | 0.85 |\n| q.90 | OurApproach(α=16) | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | IntuitiveSolution | fancy,treachery,fear,english | 0.1 | 1 |\n| q.90 | XO-QP(NoDist) | bias,treachery,fear,english | 0.5 | 0.93 |\n| q.90 | XO-QP(Dist) | tilt,betrayal,fear,english | 0.4 | 0.93 |\n| q.100 | OurApproach(α=2) | murderer,extortion,blood | 0.3 | 0.76 |","| q.80 | XO-QP(NoDist) | wake,variety,analysis,system | 1 | 0.94 |\n| --- | --- | --- | --- | --- |\n| q.80 | XO-QP(Dist) | wake,variety,analysis,system | 1 | 0.94 |\n| q.100 | OurApproach(α=2) | whole,study,analysis,system | 0.1 | 0.24 |\n| q.100 | OurApproach(α=16) | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | IntuitiveSolution | intruder,hunt,analysis,system | 0.1 | 1 |\n| q.100 | XO-QP(NoDist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.100 | XO-QP(Dist) | intruder,lookup,analysis,system | 0.3 | 1 |\n| q.110 | OurApproach(α=2) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | OurApproach(α=16) | gesture,testing,system | 0.1 | 0.72 |\n| q.110 | IntuitiveSolution | hint,testing,system | 0.1 | 0.9 |\n| q.110 | XO-QP(NoDist) | hint,search,system | 0.7 | 0.9 |\n| q.110 | XO-QP(Dist) | hint,search,system | 0.7 | 0.9 |",0]
["| Category | Numberoftokens |\n| --- | --- |\n| Avg.tokens | 22.2 |","| Avg.entokens | 2.1 |\n| --- | --- |\n| Avg.hitokens | 16.1 |\n| Avg.resttokens | 4.0 |",1]
["| Category | Numberoftokens |\n| --- | --- |\n| Avg.tokens | 22.2 |","|  | Individualusersgroup |\n| --- | --- |\n| Totalnumberoftweets | 119,376 |\n| Totalnumberofuniqueaccounts | 80,537 |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Category | Numberoftokens |\n| --- | --- |\n| Avg.tokens | 22.2 |\n| Avg.entokens | 2.1 |","| Avg.hitokens | 16.1 |\n| --- | --- |\n| Avg.resttokens | 4.0 |",1]
["| Category | Numberoftokens |\n| --- | --- |\n| Avg.tokens | 22.2 |\n| Avg.entokens | 2.1 |","| Totalnumberofuniqueaccounts | 80,537 |\n| --- | --- |\n| Totalnumberoftokens | 1,837,304 |\n| Averagenumberoftokenspertweet | 15.391 |\n| Totalnumberofuniquetokens | 103,089 |\n| Averagenumberofuniquetokenspertweet | 0.864 |\n| Uniquetokens:tokensratio | 0.056 |\n| Numberofhapaxlegomena | 69,542 |\n| Averagenumberofhapaxlegomenapertweet | 0.583 |",0]
["| Item | NormalizedDecayedWeight |\n| --- | --- |\n| 2 | 198.08 |\n| 3 | 96.16 |","| 5 | 72.15 |\n| --- | --- |\n| 6 | 37.04 |",1]
["| Item | NormalizedDecayedWeight |\n| --- | --- |\n| 2 | 198.08 |\n| 3 | 96.16 |","| OverallScore | Uniformweights | ActualWeights | LinearRegression | HuberRegression | OrdinaryLS |\n| --- | --- | --- | --- | --- | --- |\n| Final(Normalized) | 7.2368 | 6.1644 | 0.5690 | 0.5280 | 0.6804 |\n| Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |\n| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",0]
["| Item | NormalizedDecayedWeight |\n| --- | --- |\n| 2 | 198.08 |","| 3 | 96.16 |\n| --- | --- |\n| 5 | 72.15 |\n| 6 | 37.04 |",1]
["| Item | NormalizedDecayedWeight |\n| --- | --- |\n| 2 | 198.08 |","| Midterm(Normalized) | 2.9898 | 3.2856 | 0.3802 | 0.3967 | 0.3161 |\n| --- | --- | --- | --- | --- | --- |\n| Final(Actual) | 8.0209 | 6.3726 | 0.6013 | 0.7234 | 0.7190 |\n| Midterm(Actual) | 17.5650 | 17.51134 | 0.5218 | 0.5094 | 0.4338 |",0]
["| Models | devset | testset |\n| --- | --- | --- |\n| OnestageQACNN | 66.8 | - |\n| QACNN(noattention) | 69.6 | - |\n| QACNN(onlyword-levelattention) | 72.5 | - |","| QACNN(onlysentence-levelattention) | 75.1 | - |\n| --- | --- | --- |\n| QACNN(single) | 77.6 | 75.84 |\n| QACNN(ensemble) | 79.0 | 79.99 |",1]
["| Models | devset | testset |\n| --- | --- | --- |\n| OnestageQACNN | 66.8 | - |\n| QACNN(noattention) | 69.6 | - |\n| QACNN(onlyword-levelattention) | 72.5 | - |","| Models | devset | testset |\n| --- | --- | --- |\n| CosineWord2Vec | 46.4 | 45.63 |\n| CosineTFIDF | 47.6 | 47.36 |\n| SSCBTFIDF | 48.5 | - |\n| CompareAggregate | 72.1 | 72.9 |\n| QACNN | 77.6 | 75.84 |\n| ConvnetFusion | - | 77.63 |\n| QACNN(ensemble) | 79.0 | 79.99 |",0]
["| Models | devset | testset |\n| --- | --- | --- |\n| OnestageQACNN | 66.8 | - |\n| QACNN(noattention) | 69.6 | - |\n| QACNN(onlyword-levelattention) | 72.5 | - |","| QACNN(onlysentence-levelattention) | 75.1 | - |\n| --- | --- | --- |\n| QACNN(single) | 77.6 | 75.84 |\n| QACNN(ensemble) | 79.0 | 79.99 |",1]
["| Models | devset | testset |\n| --- | --- | --- |\n| OnestageQACNN | 66.8 | - |\n| QACNN(noattention) | 69.6 | - |\n| QACNN(onlyword-levelattention) | 72.5 | - |","| QACNN | 77.6 | 75.84 |\n| --- | --- | --- |\n| ConvnetFusion | - | 77.63 |\n| QACNN(ensemble) | 79.0 | 79.99 |",0]
["| Mode | Denver(GHz) | A57(GHz) | GPU(GHz) |\n| --- | --- | --- | --- |\n| Max-N | 2.0 | 2.0 | 1.30 |\n| Max-Q | - | 1.2 | 0.85 |","| Max-PCore-All | 1.4 | 1.4 | 1.12 |\n| --- | --- | --- | --- |\n| Max-PARM | - | 2.0 | 1.12 |\n| Max-PDenver | 2.0 | - | 1.12 |",1]
["| Mode | Denver(GHz) | A57(GHz) | GPU(GHz) |\n| --- | --- | --- | --- |\n| Max-N | 2.0 | 2.0 | 1.30 |\n| Max-Q | - | 1.2 | 0.85 |","| Work | Network | Clock | Speedup | Baseline |\n| --- | --- | --- | --- | --- |\n| Ly&Chow | 256×256 | 100MHz | 32× | 2.8GHzP4 |\n| Kimet.al | 256×256 | 200MHz | 25× | 2.4GHzCore2 |\n| DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |\n| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |\n| DLAU | 256×256 | 200MHz | 36.1× | 2.3GHzCore2 |",0]
["| Mode | Denver(GHz) | A57(GHz) | GPU(GHz) |\n| --- | --- | --- | --- |\n| Max-N | 2.0 | 2.0 | 1.30 |\n| Max-Q | - | 1.2 | 0.85 |","| Max-PCore-All | 1.4 | 1.4 | 1.12 |\n| --- | --- | --- | --- |\n| Max-PARM | - | 2.0 | 1.12 |\n| Max-PDenver | 2.0 | - | 1.12 |",1]
["| Mode | Denver(GHz) | A57(GHz) | GPU(GHz) |\n| --- | --- | --- | --- |\n| Max-N | 2.0 | 2.0 | 1.30 |\n| Max-Q | - | 1.2 | 0.85 |","| Kimet.al | 256×256 | 200MHz | 25× | 2.4GHzCore2 |\n| --- | --- | --- | --- | --- |\n| DianNao | General | 0.98GHz | 117.87× | 2GHzSIMD |\n| Zhanget.al | 256×256 | 100MHz | 17.42× | 2.2GHzXeon |\n| DLAU | 256×256 | 200MHz | 36.1× | 2.3GHzCore2 |",0]
["| Numberofiteration | 1 | 5 | 10 | 20 | 40 | 80 | 81 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Estimatedmode | 6.045 | 3.540 | 3.356 | 3.260 | 3.201 | 3.091 | 3.091 |","| Estimatedmode | -6.575 | -3.572 | -3.304 | -3.175 | -3.098 | -3.047 | -3.047 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Estimatedmode | 0.905 | 2.456 | 2.680 | 2.806 | 2.887 | 2.940 | 2.941 |\n| Estimatedmode | -0.575 | -2.250 | -2.512 | -2.652 | -2.738 | -2.795 | -2.797 |\n| Estimatedmode | 4.457 | 3.391 | 3.273 | 3.202 | 3.155 | 3.124 | 3.123 |\n| Estimatedmode | -4.759 | -3.384 | -3.234 | -3.145 | -3.087 | -3.048 | -3.047 |\n| Estimatedmode | 0.588 | 2.299 | 2.589 | 2.743 | 2.837 | 2.900 | 2.901 |\n| Estimatedmode | -0.602 | -2.298 | -2.553 | -2.688 | -2.771 | -2.855 | -2.856 |\n| Estimatedmode | 5.076 | 3.400 | 3.236 | 3.145 | 3.088 | 3.051 | 3.050 |\n| Estimatedmode | -5.160 | -3.477 | -3.308 | -3.215 | -3.157 | -3.118 | -3.117 |",1]
["| Numberofiteration | 1 | 5 | 10 | 20 | 40 | 80 | 81 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Estimatedmode | 6.045 | 3.540 | 3.356 | 3.260 | 3.201 | 3.091 | 3.091 |","| Numberofatoms | Bestvalueobtained | Bestvalueknown |\n| --- | --- | --- |\n| 19 | -72.659782 | -72.659782 |\n| 20 | -77.177043 | -77.177043 |\n| 21 | -81.684571 | -81.684571 |\n| 22 | -86.573675 | -86.809782 |\n| 23 | -92.844461 | -92.844472 |\n| 24 | -97.348815 | -97.348815 |\n| 25 | -102.372663 | -102.372663 |\n| 27 | -112.825517 | -112.873584 |\n| 30 | -128.096960 | -128.286571 |\n| 34 | -150.044528 | -150.044528 |\n| 44 | -207.631655 | -207.688728 |\n| 49 | -239.091863 | -239.091864 |\n| 56 | -283.324945 | -283.643105 |\n| 65 | -334.014007 | -334.971532 |\n| 67 | -347.053308 | -347.252007 |\n| 84 | -452.267210 | -452.6573 |\n| 93 | -510.653123 | -510.8779 |\n| 148 | -881.072948 | -881.072971 |\n| 170 | -1024.791771 | -1024.791797 |\n| 172 | -1039.154878 | -1039.154907 |\n| 268 | -1706.182547 | -1706.182605 |\n| 288 | -1850.010789 | -1850.010842 |\n| 293 | -1888.427022 | -1888.427400 |\n| 298 | -1927.638727 | -1927.638785 |\n| 300 | -1942.106181 | -1942.106775 |\n| 301 | -1949.340973 | -1949.341015 |\n| 304 | -1971.044089 | -1971.044144 |\n| 308 | -1999.983235 | -1999.983300 |",0]
["| Numberofiteration | 1 | 5 | 10 | 20 | 40 | 80 | 81 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Estimatedmode | 6.045 | 3.540 | 3.356 | 3.260 | 3.201 | 3.091 | 3.091 |\n| Estimatedmode | -6.575 | -3.572 | -3.304 | -3.175 | -3.098 | -3.047 | -3.047 |\n| Estimatedmode | 0.905 | 2.456 | 2.680 | 2.806 | 2.887 | 2.940 | 2.941 |\n| Estimatedmode | -0.575 | -2.250 | -2.512 | -2.652 | -2.738 | -2.795 | -2.797 |\n| Estimatedmode | 4.457 | 3.391 | 3.273 | 3.202 | 3.155 | 3.124 | 3.123 |\n| Estimatedmode | -4.759 | -3.384 | -3.234 | -3.145 | -3.087 | -3.048 | -3.047 |\n| Estimatedmode | 0.588 | 2.299 | 2.589 | 2.743 | 2.837 | 2.900 | 2.901 |","| Estimatedmode | -0.602 | -2.298 | -2.553 | -2.688 | -2.771 | -2.855 | -2.856 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Estimatedmode | 5.076 | 3.400 | 3.236 | 3.145 | 3.088 | 3.051 | 3.050 |\n| Estimatedmode | -5.160 | -3.477 | -3.308 | -3.215 | -3.157 | -3.118 | -3.117 |",1]
["| Numberofiteration | 1 | 5 | 10 | 20 | 40 | 80 | 81 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Estimatedmode | 6.045 | 3.540 | 3.356 | 3.260 | 3.201 | 3.091 | 3.091 |\n| Estimatedmode | -6.575 | -3.572 | -3.304 | -3.175 | -3.098 | -3.047 | -3.047 |\n| Estimatedmode | 0.905 | 2.456 | 2.680 | 2.806 | 2.887 | 2.940 | 2.941 |\n| Estimatedmode | -0.575 | -2.250 | -2.512 | -2.652 | -2.738 | -2.795 | -2.797 |\n| Estimatedmode | 4.457 | 3.391 | 3.273 | 3.202 | 3.155 | 3.124 | 3.123 |\n| Estimatedmode | -4.759 | -3.384 | -3.234 | -3.145 | -3.087 | -3.048 | -3.047 |\n| Estimatedmode | 0.588 | 2.299 | 2.589 | 2.743 | 2.837 | 2.900 | 2.901 |","| 27 | -112.825517 | -112.873584 |\n| --- | --- | --- |\n| 30 | -128.096960 | -128.286571 |\n| 34 | -150.044528 | -150.044528 |\n| 44 | -207.631655 | -207.688728 |\n| 49 | -239.091863 | -239.091864 |\n| 56 | -283.324945 | -283.643105 |\n| 65 | -334.014007 | -334.971532 |\n| 67 | -347.053308 | -347.252007 |\n| 84 | -452.267210 | -452.6573 |\n| 93 | -510.653123 | -510.8779 |\n| 148 | -881.072948 | -881.072971 |\n| 170 | -1024.791771 | -1024.791797 |\n| 172 | -1039.154878 | -1039.154907 |\n| 268 | -1706.182547 | -1706.182605 |\n| 288 | -1850.010789 | -1850.010842 |\n| 293 | -1888.427022 | -1888.427400 |\n| 298 | -1927.638727 | -1927.638785 |\n| 300 | -1942.106181 | -1942.106775 |\n| 301 | -1949.340973 | -1949.341015 |\n| 304 | -1971.044089 | -1971.044144 |\n| 308 | -1999.983235 | -1999.983300 |",0]
["| F-measure |\n| --- |\n| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |\n| 0.369<br>0.418 |","| 0.343<br>0.354<br>0.386 |\n| --- |\n| 0.443 |",1]
["| F-measure |\n| --- |\n| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |\n| 0.369<br>0.418 |","| 97.88 |\n| --- |\n| 97.59 |\n| 94.51<br>92.60 |\n| 0.236 |\n| 84.6 |",0]
["| F-measure |\n| --- |\n| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |","| 0.369<br>0.418 |\n| --- |\n| 0.343<br>0.354<br>0.386 |\n| 0.443 |",1]
["| F-measure |\n| --- |\n| 0.129<br>0.134<br>0.135<br>0.138<br>0.174 |","| 0.236 |\n| --- |\n| 84.6 |",0]
["| n | CountofSubsets<br>ofXwithn<br>S=2n | n | ofXwithn<br>n(n+1)<br>S=(−n) |\n| --- | --- | --- | --- |\n| 6 | 2 | 6 | 2 |\n| 7 | 5 | 7 | 5 |\n| 8 | 8 | 8 | 8 |\n| 9 | 13 | 9 | 13 |\n| 10 | 134 | 10 | 24 |\n| 50 | 416868 | 15 | 521 |\n| 100 | 482240364 | 20 | 11812 |\n| 150 | 114613846376 | 30 | 7206286 |","| 200 | 11954655830925 | 40 | 5076120114 |\n| --- | --- | --- | --- |\n| 250 | 732839540340934 | 50 | 3831141038816 |",1]
["| n | CountofSubsets<br>ofXwithn<br>S=2n | n | ofXwithn<br>n(n+1)<br>S=(−n) |\n| --- | --- | --- | --- |\n| 6 | 2 | 6 | 2 |\n| 7 | 5 | 7 | 5 |\n| 8 | 8 | 8 | 8 |\n| 9 | 13 | 9 | 13 |\n| 10 | 134 | 10 | 24 |\n| 50 | 416868 | 15 | 521 |\n| 100 | 482240364 | 20 | 11812 |\n| 150 | 114613846376 | 30 | 7206286 |","| n | tn |\n| --- | --- |\n| 8 | 560 |\n| 9 | 5040 |\n| 10 | 957600 |\n| 11 | 123354000 |\n| 12 | 16842764400 |\n| 13 | 2764379217600 |\n| 14 | 527554510282800 |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |\n| 18 | 2167306256125914230527200 |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",0]
["| n | CountofSubsets<br>ofXwithn<br>S=2n | n | ofXwithn<br>n(n+1)<br>S=(−n) |\n| --- | --- | --- | --- |\n| 6 | 2 | 6 | 2 |","| 7 | 5 | 7 | 5 |\n| --- | --- | --- | --- |\n| 8 | 8 | 8 | 8 |\n| 9 | 13 | 9 | 13 |\n| 10 | 134 | 10 | 24 |\n| 50 | 416868 | 15 | 521 |\n| 100 | 482240364 | 20 | 11812 |\n| 150 | 114613846376 | 30 | 7206286 |\n| 200 | 11954655830925 | 40 | 5076120114 |\n| 250 | 732839540340934 | 50 | 3831141038816 |",1]
["| n | CountofSubsets<br>ofXwithn<br>S=2n | n | ofXwithn<br>n(n+1)<br>S=(−n) |\n| --- | --- | --- | --- |\n| 6 | 2 | 6 | 2 |","| 14 | 527554510282800 |\n| --- | --- |\n| 15 | 114387072405606000 |\n| 16 | 27728561968887780000 |\n| 17 | 7418031804967840056000 |\n| 18 | 2167306256125914230527200 |\n| 19 | 685709965521372865035362400 |\n| 20 | 233306923207078035272369412000 |",0]
["| MRCRSUBJMPQATREC | MSRP(Acc/F1) |\n| --- | --- |\n| 71.578.490.183.485.2<br>71.979.390.885.288.8<br>73.680.291.485.789.0 | 72.1/81.7<br>72.8/81.5<br>73.5/82.1 |","| 72.177.890.584.286.0<br>72.979.390.685.287.6<br>74.080.491.586.187.8 | 71.5/80.8<br>72.9/81.6<br>73.7/81.7 |\n| --- | --- |\n| 70.875.990.482.787.2<br>71.178.490.883.789.6<br>72.478.691.584.388.7 | 73.3/81.7<br>73.2/81.7<br>75.4/83.0 |\n| 68.476.589.481.481.6<br>70.076.489.681.486.0<br>71.678.090.783.283.2 | 72.2/81.4<br>72.8/81.4<br>73.2/81.4 |\n| 73.380.090.784.984.8<br>75.080.591.186.587.4<br>75.881.891.986.888.6 | 73.8/81.9<br>72.3/81.3<br>75.0/82.5 |",1]
["| MRCRSUBJMPQATREC | MSRP(Acc/F1) |\n| --- | --- |\n| 71.578.490.183.485.2<br>71.979.390.885.288.8<br>73.680.291.485.789.0 | 72.1/81.7<br>72.8/81.5<br>73.5/82.1 |","|  | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |\n| --- | --- | --- | --- | --- | --- |\n| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |\n| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |\n| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["| MRCRSUBJMPQATREC | MSRP(Acc/F1) |\n| --- | --- |\n| 71.578.490.183.485.2<br>71.979.390.885.288.8<br>73.680.291.485.789.0 | 72.1/81.7<br>72.8/81.5<br>73.5/82.1 |\n| 72.177.890.584.286.0<br>72.979.390.685.287.6<br>74.080.491.586.187.8 | 71.5/80.8<br>72.9/81.6<br>73.7/81.7 |\n| 70.875.990.482.787.2<br>71.178.490.883.789.6<br>72.478.691.584.388.7 | 73.3/81.7<br>73.2/81.7<br>75.4/83.0 |","| 68.476.589.481.481.6<br>70.076.489.681.486.0<br>71.678.090.783.283.2 | 72.2/81.4<br>72.8/81.4<br>73.2/81.4 |\n| --- | --- |\n| 73.380.090.784.984.8<br>75.080.591.186.587.4<br>75.881.891.986.888.6 | 73.8/81.9<br>72.3/81.3<br>75.0/82.5 |",1]
["| MRCRSUBJMPQATREC | MSRP(Acc/F1) |\n| --- | --- |\n| 71.578.490.183.485.2<br>71.979.390.885.288.8<br>73.680.291.485.789.0 | 72.1/81.7<br>72.8/81.5<br>73.5/82.1 |\n| 72.177.890.584.286.0<br>72.979.390.685.287.6<br>74.080.491.586.187.8 | 71.5/80.8<br>72.9/81.6<br>73.7/81.7 |\n| 70.875.990.482.787.2<br>71.178.490.883.789.6<br>72.478.691.584.388.7 | 73.3/81.7<br>73.2/81.7<br>75.4/83.0 |","| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |\n| --- | --- | --- | --- | --- | --- |\n| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.909 | 0.109 | 0.891 | 0.091 | 0.9 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.899 | 0.102 | 0.898 | 0.101 | 0.899 |","| MLP | 0.924 | 0.098 | 0.902 | 0.076 | 0.914 |\n| --- | --- | --- | --- | --- | --- |\n| PART | 0.896 | 0.109 | 0.891 | 0.104 | 0.894 |\n| RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.909 | 0.109 | 0.891 | 0.091 | 0.9 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.899 | 0.102 | 0.898 | 0.101 | 0.899 |","| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.905 | 0.109 | 0.891 | 0.095 | 0.907 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.902 | 0.098 | 0.902 | 0.098 | 0.902 |\n| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |\n| PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |\n| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.909 | 0.109 | 0.891 | 0.091 | 0.9 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.899 | 0.102 | 0.898 | 0.101 | 0.899 |","| MLP | 0.924 | 0.098 | 0.902 | 0.076 | 0.914 |\n| --- | --- | --- | --- | --- | --- |\n| PART | 0.896 | 0.109 | 0.891 | 0.104 | 0.894 |\n| RF | 0.909 | 0.068 | 0.932 | 0.091 | 0.919 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",1]
["| ML | TPR | FPR | TNR | FNR | W-FM |\n| --- | --- | --- | --- | --- | --- |\n| SVM-linear | 0.909 | 0.109 | 0.891 | 0.091 | 0.9 |\n| NB | 0.596 | 0.102 | 0.898 | 0.404 | 0.73 |\n| SL | 0.899 | 0.102 | 0.898 | 0.101 | 0.899 |","| MLP | 0.905 | 0.072 | 0.928 | 0.095 | 0.916 |\n| --- | --- | --- | --- | --- | --- |\n| PART | 0.899 | 0.106 | 0.894 | 0.101 | 0.897 |\n| RF | 0.918 | 0.064 | 0.936 | 0.082 | 0.926 |\n| J48 | 0.88 | 0.125 | 0.875 | 0.12 | 0.878 |",0]
["|  | M:Mediators | P:Party |\n| --- | --- | --- |\n| 1partyPwithonly1person | P\\|0\\|0 | 0\\|M\\|0 |","| 1partyPwithseveralpeople | P\\|0\\|0 | MP\\|M\\|0 |\n| --- | --- | --- |\n| 2partieswithonly1personinthepartyP | Oﬀ\\|0\\|Vic | 0\\|M\\|MO |\n| 2partieswithseveralpeopleinthepartyP | Oﬀ\\|0\\|Vic | MP\\|M\\|MO |",1]
["|  | M:Mediators | P:Party |\n| --- | --- | --- |\n| 1partyPwithonly1person | P\\|0\\|0 | 0\\|M\\|0 |","| N | Thesetofallusers | W | ThesetofallBSs |\n| --- | --- | --- | --- |\n| K | Thesetofallchannels | Kw | ThesetofchannelsbelongstoBSw |\n| \\|h\\|i | Thechannelgainofuserionchannelk | pw | ThetransmitpowerofBSwonchannelk |\n| p¯w | ThepowerbudgetforBSw | βw | TheuserassignmentofBSwonchannelk |\n| a | Theassociationproﬁle | a−i | Theassociationproﬁlewithoutuseri |\n| r(a)i | Therateassignedtouseri | R(a)w | TheoptimalthroughputofBSwundera |\n| R(a) | Theoptimalsystemthroughputundera | N(a)w | ThesetofusersassociatedtoBSw |\n| U(a)i | Theutilityofuseri | T(a)i | Thetaximposedonuseri |",0]
["|  | M:Mediators | P:Party |\n| --- | --- | --- |\n| 1partyPwithonly1person | P\\|0\\|0 | 0\\|M\\|0 |","| 1partyPwithseveralpeople | P\\|0\\|0 | MP\\|M\\|0 |\n| --- | --- | --- |\n| 2partieswithonly1personinthepartyP | Oﬀ\\|0\\|Vic | 0\\|M\\|MO |\n| 2partieswithseveralpeopleinthepartyP | Oﬀ\\|0\\|Vic | MP\\|M\\|MO |",1]
["|  | M:Mediators | P:Party |\n| --- | --- | --- |\n| 1partyPwithonly1person | P\\|0\\|0 | 0\\|M\\|0 |","| a | Theassociationproﬁle | a−i | Theassociationproﬁlewithoutuseri |\n| --- | --- | --- | --- |\n| r(a)i | Therateassignedtouseri | R(a)w | TheoptimalthroughputofBSwundera |\n| R(a) | Theoptimalsystemthroughputundera | N(a)w | ThesetofusersassociatedtoBSw |\n| U(a)i | Theutilityofuseri | T(a)i | Thetaximposedonuseri |",0]
["| dimensiondforZG | d=20 | d=100 | d=200 |\n| --- | --- | --- | --- |\n| R(A)(Conv) | 0.9602 | 0.9624 | 0.9631 |","| R(B)(Conv) | 0.9644 | 0.9807 | 0.9889 |\n| --- | --- | --- | --- |\n| 2<br>R(A)(FC) | 0.9585 | 0.9588 | 0.9594 |\n| R(B)(FC) | 0.9410 | 0.9649 | 0.9709 |",1]
["| dimensiondforZG | d=20 | d=100 | d=200 |\n| --- | --- | --- | --- |\n| R(A)(Conv) | 0.9602 | 0.9624 | 0.9631 |","| #Params | RVD |  |\n| --- | --- | --- |\n| @1 | @10 |  |\n| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |\n| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| dimensiondforZG | d=20 | d=100 | d=200 |\n| --- | --- | --- | --- |\n| R(A)(Conv) | 0.9602 | 0.9624 | 0.9631 |\n| R(B)(Conv) | 0.9644 | 0.9807 | 0.9889 |","| 2<br>R(A)(FC) | 0.9585 | 0.9588 | 0.9594 |\n| --- | --- | --- | --- |\n| R(B)(FC) | 0.9410 | 0.9649 | 0.9709 |",1]
["| dimensiondforZG | d=20 | d=100 | d=200 |\n| --- | --- | --- | --- |\n| R(A)(Conv) | 0.9602 | 0.9624 | 0.9631 |\n| R(B)(Conv) | 0.9644 | 0.9807 | 0.9889 |","| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |\n| --- | --- | --- |\n| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 |",0]
["| Publicationtypes | Numberofoccurrences |\n| --- | --- |\n| TechnicalReport | 51838 |","| ConferencePaper | 6218 |\n| --- | --- |\n| JournalArticle | 8401 |\n| DepartmentalBulletinPaper | 8694 |\n| Article | 4295 |",1]
["| Publicationtypes | Numberofoccurrences |\n| --- | --- |\n| TechnicalReport | 51838 |","| Journal | PRAPRBPRCPRDPREPRL |\n| --- | --- |\n| Numberofarticlespublishedin2000 | 1,4584,9948632,0492,2553,123 |\n| Totalnumberofcitationsaccruedbycohort | 17,00549,4177,95926,07214,67570,876 |\n| Fractionofjournalself-citations | 0.740.800.820.910.700.23 |\n| Totalnumberofinﬂation-adjustedcitations | 12,92744,4017,38919,77611,42359,083 |\n| Meaninﬂation-adjustedcitationsperarticle | 8.878.898.569.655.0718.92 |\n| Medianinﬂation-adjustedcitationsperarticle | 4.214.715.014.592.819.99 |",0]
["| Publicationtypes | Numberofoccurrences |\n| --- | --- |\n| TechnicalReport | 51838 |","| ConferencePaper | 6218 |\n| --- | --- |\n| JournalArticle | 8401 |\n| DepartmentalBulletinPaper | 8694 |\n| Article | 4295 |",1]
["| Publicationtypes | Numberofoccurrences |\n| --- | --- |\n| TechnicalReport | 51838 |","| Meaninﬂation-adjustedcitationsperarticle | 8.878.898.569.655.0718.92 |\n| --- | --- |\n| Medianinﬂation-adjustedcitationsperarticle | 4.214.715.014.592.819.99 |",0]
["| 0.44 |\n| --- |\n| 0.46 |\n| 0.44 |","| 0.45 |\n| --- |\n| 0.40 |",1]
["| 0.44 |\n| --- |\n| 0.46 |\n| 0.44 |","| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| 0.44 |\n| --- |\n| 0.46 |","| 0.44 |\n| --- |\n| 0.45 |\n| 0.40 |",1]
["| 0.44 |\n| --- |\n| 0.46 |","| - | - | 0.847 |\n| --- | --- | --- |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (N+F−1)hRLWE | (N+F−1)h2−RLWE | (N+F−1)hI3−RLWE |","| numberofciphertexts |  |  |\n| --- | --- | --- |\n| (N+F)I | 2I | 2 |\n| ciphertextsproducts |  |  |\n| NFI | I | 1 |",1]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (N+F−1)hRLWE | (N+F−1)h2−RLWE | (N+F−1)hI3−RLWE |","| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE |\n| numberofciphertexts |  |  |\n| 2NI | 2I | 2 |\n| ciphertextsproducts |  |  |\n| NI | I | 1 |",0]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (N+F−1)hRLWE | (N+F−1)h2−RLWE | (N+F−1)hI3−RLWE |\n| numberofciphertexts |  |  |\n| (N+F)I | 2I | 2 |","| ciphertextsproducts |  |  |\n| --- | --- | --- |\n| NFI | I | 1 |",1]
["| Lauter(RLWE) | 2-RLWE | 3-RLWE |\n| --- | --- | --- |\n| n |  |  |\n| (N+F−1)hRLWE | (N+F−1)h2−RLWE | (N+F−1)hI3−RLWE |\n| numberofciphertexts |  |  |\n| (N+F)I | 2I | 2 |","| (2N−1)hRLWE | (2N−1)h2−RLWE | (2N−1)hI3−RLWE |\n| --- | --- | --- |\n| numberofciphertexts |  |  |\n| 2NI | 2I | 2 |\n| ciphertextsproducts |  |  |\n| NI | I | 1 |",0]
["| Events | AUC(miSVM) | AUC(BP-MIL) |\n| --- | --- | --- |\n| Cheering | 0.588 | 0.669 |\n| Children’sVoices | 0.665 | 0.705 |\n| Clanking | 0.925 | 0.645 |\n| Clapping | 0.585 | 0.626 |\n| Drums | 0.680 | 0.628 |\n| EngineNoise | 0.603 | 0.652 |\n| Hammering | 0.542 | 0.572 |\n| Laughing | 0.548 | 0.581 |","| MarchingBand | 0.758 | 0.701 |\n| --- | --- | --- |\n| Scraping | 0.684 | 0.724 |\n| Mean | 0.658 | 0.650 |",1]
["| Events | AUC(miSVM) | AUC(BP-MIL) |\n| --- | --- | --- |\n| Cheering | 0.588 | 0.669 |\n| Children’sVoices | 0.665 | 0.705 |\n| Clanking | 0.925 | 0.645 |\n| Clapping | 0.585 | 0.626 |\n| Drums | 0.680 | 0.628 |\n| EngineNoise | 0.603 | 0.652 |\n| Hammering | 0.542 | 0.572 |\n| Laughing | 0.548 | 0.581 |","| Events | AUC(F)64 | AUC([F,M])6464 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.668 |\n| Children’sVoices | 0.678 | 0.723 |\n| Clanking | 0.714 | 0.859 |\n| Clapping | 0.646 | 0.680 |\n| Drums | 0.60 | 0.639 |\n| EngineNoise | 0.623 | 0.575 |\n| Hammering | 0.557 | 0.660 |\n| Laughing | 0.527 | 0.641 |\n| MarchingBand | 0.551 | 0.745 |\n| Scraping | 0.723 | 0.744 |\n| Mean | 0.625 | 0.693 |",0]
["| Events | AUC(miSVM) | AUC(BP-MIL) |\n| --- | --- | --- |\n| Cheering | 0.588 | 0.669 |","| Children’sVoices | 0.665 | 0.705 |\n| --- | --- | --- |\n| Clanking | 0.925 | 0.645 |\n| Clapping | 0.585 | 0.626 |\n| Drums | 0.680 | 0.628 |\n| EngineNoise | 0.603 | 0.652 |\n| Hammering | 0.542 | 0.572 |\n| Laughing | 0.548 | 0.581 |\n| MarchingBand | 0.758 | 0.701 |\n| Scraping | 0.684 | 0.724 |\n| Mean | 0.658 | 0.650 |",1]
["| Events | AUC(miSVM) | AUC(BP-MIL) |\n| --- | --- | --- |\n| Cheering | 0.588 | 0.669 |","| Clapping | 0.646 | 0.680 |\n| --- | --- | --- |\n| Drums | 0.60 | 0.639 |\n| EngineNoise | 0.623 | 0.575 |\n| Hammering | 0.557 | 0.660 |\n| Laughing | 0.527 | 0.641 |\n| MarchingBand | 0.551 | 0.745 |\n| Scraping | 0.723 | 0.744 |\n| Mean | 0.625 | 0.693 |",0]
["| Method | IOUthreshold=0.5 | IOUthreshold=0.7 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |\n| Quad | 0.767 | 0.872 | 0.817 | 0.577 | 0.676 | 0.623 |","| RRMS | 0.766 | 0.875 | 0.817 | 0.569 | 0.623 | 0.594 |\n| --- | --- | --- | --- | --- | --- | --- |\n| QuadMS | 0.785 | 0.878 | 0.829 | 0.617 | 0.690 | 0.651 |",1]
["| Method | IOUthreshold=0.5 | IOUthreshold=0.7 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |\n| Quad | 0.767 | 0.872 | 0.817 | 0.577 | 0.676 | 0.623 |","| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Method | IOUthreshold=0.5 | IOUthreshold=0.7 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |","| Quad | 0.767 | 0.872 | 0.817 | 0.577 | 0.676 | 0.623 |\n| --- | --- | --- | --- | --- | --- | --- |\n| RRMS | 0.766 | 0.875 | 0.817 | 0.569 | 0.623 | 0.594 |\n| QuadMS | 0.785 | 0.878 | 0.829 | 0.617 | 0.690 | 0.651 |",1]
["| Method | IOUthreshold=0.5 | IOUthreshold=0.7 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| R | P | F | R | P | F |  |\n| RR | 0.764 | 0.822 | 0.792 | 0.613 | 0.574 | 0.593 |","| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Classes | NumberofImages | PercentofDataset |\n| --- | --- | --- |\n| Chores | 725 | 1.79 |\n| Driving | 1031 | 2.54 |\n| Cooking | 759 | 1.87 |\n| Exercising | 502 | 1.24 |\n| Reading | 1414 | 3.48 |\n| Presentation | 848 | 2.09 |\n| Dogs | 1149 | 2.83 |\n| Resting | 106 | 0.26 |\n| Eating | 4699 | 11.58 |\n| Working | 13895 | 34.24 |\n| Chatting | 113 | 0.28 |\n| TV | 1584 | 3.90 |\n| Meeting | 1312 | 3.23 |\n| Cleaning | 642 | 1.59 |\n| Socializing | 970 | 2.39 |\n| Shopping | 606 | 1.49 |","| Biking | 696 | 1.71 |\n| --- | --- | --- |\n| Family | 8267 | 20.37 |\n| Hygiene | 1266 | 3.12 |",1]
["| Classes | NumberofImages | PercentofDataset |\n| --- | --- | --- |\n| Chores | 725 | 1.79 |\n| Driving | 1031 | 2.54 |\n| Cooking | 759 | 1.87 |\n| Exercising | 502 | 1.24 |\n| Reading | 1414 | 3.48 |\n| Presentation | 848 | 2.09 |\n| Dogs | 1149 | 2.83 |\n| Resting | 106 | 0.26 |\n| Eating | 4699 | 11.58 |\n| Working | 13895 | 34.24 |\n| Chatting | 113 | 0.28 |\n| TV | 1584 | 3.90 |\n| Meeting | 1312 | 3.23 |\n| Cleaning | 642 | 1.59 |\n| Socializing | 970 | 2.39 |\n| Shopping | 606 | 1.49 |","|  | kNN | RDF | CNN | CNN+LF |\n| --- | --- | --- | --- | --- |\n| Chores | 33.10 | 17.24 | 00.69 | 20.00 |\n| Driving | 55.07 | 60.87 | 98.55 | 96.62 |\n| Cooking | 25.66 | 35.53 | 47.37 | 60.53 |\n| Exercising | 44.00 | 63.00 | 69.00 | 73.00 |\n| Reading | 68.55 | 49.12 | 30.04 | 53.36 |\n| Presentation | 80.00 | 72.35 | 80.59 | 87.06 |\n| Dogs | 62.17 | 44.35 | 55.65 | 66.09 |\n| Resting | 72.73 | 54.55 | 27.27 | 45.45 |\n| Eating | 77.14 | 75.75 | 82.05 | 83.12 |\n| Working | 91.10 | 96.42 | 93.49 | 95.19 |\n| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |\n| TV | 77.38 | 75.79 | 81.75 | 81.75 |\n| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |\n| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |\n| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |\n| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |\n| Biking | 19.57 | 23.19 | 78.26 | 81.88 |\n| Family | 70.82 | 87.42 | 86.69 | 90.15 |\n| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |\n| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",0]
["| Classes | NumberofImages | PercentofDataset |\n| --- | --- | --- |\n| Chores | 725 | 1.79 |\n| Driving | 1031 | 2.54 |\n| Cooking | 759 | 1.87 |\n| Exercising | 502 | 1.24 |\n| Reading | 1414 | 3.48 |\n| Presentation | 848 | 2.09 |\n| Dogs | 1149 | 2.83 |\n| Resting | 106 | 0.26 |\n| Eating | 4699 | 11.58 |\n| Working | 13895 | 34.24 |\n| Chatting | 113 | 0.28 |\n| TV | 1584 | 3.90 |\n| Meeting | 1312 | 3.23 |","| Cleaning | 642 | 1.59 |\n| --- | --- | --- |\n| Socializing | 970 | 2.39 |\n| Shopping | 606 | 1.49 |\n| Biking | 696 | 1.71 |\n| Family | 8267 | 20.37 |\n| Hygiene | 1266 | 3.12 |",1]
["| Classes | NumberofImages | PercentofDataset |\n| --- | --- | --- |\n| Chores | 725 | 1.79 |\n| Driving | 1031 | 2.54 |\n| Cooking | 759 | 1.87 |\n| Exercising | 502 | 1.24 |\n| Reading | 1414 | 3.48 |\n| Presentation | 848 | 2.09 |\n| Dogs | 1149 | 2.83 |\n| Resting | 106 | 0.26 |\n| Eating | 4699 | 11.58 |\n| Working | 13895 | 34.24 |\n| Chatting | 113 | 0.28 |\n| TV | 1584 | 3.90 |\n| Meeting | 1312 | 3.23 |","| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |\n| --- | --- | --- | --- | --- |\n| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |\n| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |\n| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |\n| Biking | 19.57 | 23.19 | 78.26 | 81.88 |\n| Family | 70.82 | 87.42 | 86.69 | 90.15 |\n| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |\n| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |\n| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 |",0]
["| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |","| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |\n| --- | --- | --- | --- | --- | --- |\n| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |\n| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |\n| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",1]
["| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |","| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |","| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |\n| --- | --- | --- | --- | --- | --- |\n| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |\n| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |\n| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |\n| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |\n| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 |",1]
["| Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |\n| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |\n| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |","| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| --- | --- | --- | --- | --- |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["| dataset | ODT-adsub | ODT-greedy | ODT-ml |\n| --- | --- | --- | --- |\n| SYN-50 | 2.75 | 27.50 | 21.00 |","| SYN-100 | 2.75 | 52.50 | 21.64 |\n| --- | --- | --- | --- |\n| SYN-150 | 2.75 | 77.50 | 56.43 |\n| SYN-200 | 2.75 | 102.5 | 53.01 |\n| SYN-250 | 2.75 | 127.5 | 69.52 |",1]
["| dataset | ODT-adsub | ODT-greedy | ODT-ml |\n| --- | --- | --- | --- |\n| SYN-50 | 2.75 | 27.50 | 21.00 |","| DataSet | \\|D\\| | \\|Q\\| | Vm | Em | d | Scale-free |\n| --- | --- | --- | --- | --- | --- | --- |\n| AIDS | 1896 | 100 | 95 | 103 | 2.1 | Yes |\n| Finger | 2159 | 114 | 26 | 26 | 1.7 | Yes |\n| GREC | 1045 | 55 | 24 | 29 | 2.1 | Yes |\n| AASD | 37995 | 100 | 93 | 99 | 2.1 | Yes |\n| Syn-1 | 3430 | 70 | 100K | 1M | 9.6 | Yes |\n| Syn-2 | 3430 | 70 | 100K | 1M | 9.4 | No |",0]
["| dataset | ODT-adsub | ODT-greedy | ODT-ml |\n| --- | --- | --- | --- |\n| SYN-50 | 2.75 | 27.50 | 21.00 |\n| SYN-100 | 2.75 | 52.50 | 21.64 |\n| SYN-150 | 2.75 | 77.50 | 56.43 |","| SYN-200 | 2.75 | 102.5 | 53.01 |\n| --- | --- | --- | --- |\n| SYN-250 | 2.75 | 127.5 | 69.52 |",1]
["| dataset | ODT-adsub | ODT-greedy | ODT-ml |\n| --- | --- | --- | --- |\n| SYN-50 | 2.75 | 27.50 | 21.00 |\n| SYN-100 | 2.75 | 52.50 | 21.64 |\n| SYN-150 | 2.75 | 77.50 | 56.43 |","| AASD | 37995 | 100 | 93 | 99 | 2.1 | Yes |\n| --- | --- | --- | --- | --- | --- | --- |\n| Syn-1 | 3430 | 70 | 100K | 1M | 9.6 | Yes |\n| Syn-2 | 3430 | 70 | 100K | 1M | 9.4 | No |",0]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 1.486 | 1.548 | 1.000 |","| 4 | 1.470 | 1.470 | 1.053 |\n| --- | --- | --- | --- |\n| 6 | 1.401 | 1.374 | 1.127 |\n| 7 | 1.422 | 1.361 | 1.137 |\n| 8 | 1.386 | 1.364 | 1.135 |\n| 9 | 1.398 | 1.348 | 1.148 |\n| 10 | 1.397 | 1.352 | 1.145 |\n| 11 | 1.429 | 1.372 | 1.129 |\n| 12 | 1.402 | 1.368 | 1.131 |",1]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 1.486 | 1.548 | 1.000 |","| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 6.136 | 6.140 | 1.000 |\n| 4 | 5.731 | 5.681 | 1.081 |\n| 8 | 5.809 | 5.806 | 1.058 |\n| 12 | 5.543 | 5.453 | 1.126 |\n| 16 | 5.509 | 5.418 | 1.133 |\n| 20 | 5.499 | 5.338 | 1.150 |\n| 24 | 5.624 | 5.477 | 1.121 |",0]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 1.486 | 1.548 | 1.000 |\n| 4 | 1.470 | 1.470 | 1.053 |\n| 6 | 1.401 | 1.374 | 1.127 |\n| 7 | 1.422 | 1.361 | 1.137 |","| 8 | 1.386 | 1.364 | 1.135 |\n| --- | --- | --- | --- |\n| 9 | 1.398 | 1.348 | 1.148 |\n| 10 | 1.397 | 1.352 | 1.145 |\n| 11 | 1.429 | 1.372 | 1.129 |\n| 12 | 1.402 | 1.368 | 1.131 |",1]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 1.486 | 1.548 | 1.000 |\n| 4 | 1.470 | 1.470 | 1.053 |\n| 6 | 1.401 | 1.374 | 1.127 |\n| 7 | 1.422 | 1.361 | 1.137 |","| 16 | 5.509 | 5.418 | 1.133 |\n| --- | --- | --- | --- |\n| 20 | 5.499 | 5.338 | 1.150 |\n| 24 | 5.624 | 5.477 | 1.121 |",0]
["| Reference | Addition | Deletion |\n| --- | --- | --- |\n|  | Changebuﬀering | Changebuﬀering |\n|  | NA | NA |","|  | Changebuﬀering | Doesnotdelete |\n| --- | --- | --- |\n|  | NA | NA |\n|  | NA | NA |\n|  | NA | NA |\n|  | Burstsofvertex/edgeaddition | NA |\n|  | Preferentialattachmentandchangebuﬀering | Randomdeletion,preferentialdeletionandchangebuﬀering |",1]
["| Reference | Addition | Deletion |\n| --- | --- | --- |\n|  | Changebuﬀering | Changebuﬀering |\n|  | NA | NA |","| Reference | #vertices | #edges | UsedRAM | #msgs/iteration | Datatransferperiteration/replication |\n| --- | --- | --- | --- | --- | --- |\n|  | 100M | 3.7T | 14GB | NA | NA |\n|  | 17M | 70M | <2GB | NA | 16GB |\n|  | NA | NA | NA | NA | NA |\n|  | 4.7M | 70M | ¡75GB | NA | NA |\n|  | 8M | 29M | <512GB | 100000 | NA |\n|  | 21G | 160G | 1.46TB | NA | NA |\n|  | 1.8M | 18M | <12GB | <8M | NA |\n|  | 40M | 1.4T | 14GB | NA | NA |\n|  | 100M | 600M | 3TB | 1.2G | 0.3TB |",0]
["| Reference | Addition | Deletion |\n| --- | --- | --- |\n|  | Changebuﬀering | Changebuﬀering |\n|  | NA | NA |","|  | Changebuﬀering | Doesnotdelete |\n| --- | --- | --- |\n|  | NA | NA |\n|  | NA | NA |\n|  | NA | NA |\n|  | Burstsofvertex/edgeaddition | NA |\n|  | Preferentialattachmentandchangebuﬀering | Randomdeletion,preferentialdeletionandchangebuﬀering |",1]
["| Reference | Addition | Deletion |\n| --- | --- | --- |\n|  | Changebuﬀering | Changebuﬀering |\n|  | NA | NA |","|  | 4.7M | 70M | ¡75GB | NA | NA |\n| --- | --- | --- | --- | --- | --- |\n|  | 8M | 29M | <512GB | 100000 | NA |\n|  | 21G | 160G | 1.46TB | NA | NA |\n|  | 1.8M | 18M | <12GB | <8M | NA |\n|  | 40M | 1.4T | 14GB | NA | NA |\n|  | 100M | 600M | 3TB | 1.2G | 0.3TB |",0]
["| Concept | ∆S | p | p | µ0 | c | W<br>wwwδδδtastecolorshape |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pear | ∆ | (0.50,0.40,0.35) | (0.70,0.60,0.45) | 1.0 | 12.0 | 0.50 | 1.25 | 1.25 |\n| Orange | ∆ | (0.80,0.90,0.60) | (0.90,1.00,0.70) | 1.0 | 15.0 | 1.00 | 1.00 | 1.00 |\n| Lemon | ∆ | (0.70,0.45,0.00) | (0.80,0.55,0.10) | 1.0 | 20.0 | 0.50 | 0.50 | 2.00 |\n| Granny<br>Smith | ∆ | (0.55,0.70,0.35) | (0.60,0.80,0.45) | 1.0 | 25.0 | 1.00 | 1.00 | 1.00 |","| Apple | ∆ | (0.50,0.65,0.35)<br>(0.65,0.65,0.40)<br>(0.70,0.65,0.45) | (0.80,0.80,0.50)<br>(0.85,0.80,0.55)<br>(1.00,0.80,0.60) | 1.0 | 10.0 | 0.50 | 1.50 | 1.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Red | {δ}color | (0.90,-∞,-∞) | (1.00,+∞,+∞) | 1.0 | 20.0 | 1.00 | – | – |",1]
["| Concept | ∆S | p | p | µ0 | c | W<br>wwwδδδtastecolorshape |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pear | ∆ | (0.50,0.40,0.35) | (0.70,0.60,0.45) | 1.0 | 12.0 | 0.50 | 1.25 | 1.25 |\n| Orange | ∆ | (0.80,0.90,0.60) | (0.90,1.00,0.70) | 1.0 | 15.0 | 1.00 | 1.00 | 1.00 |\n| Lemon | ∆ | (0.70,0.45,0.00) | (0.80,0.55,0.10) | 1.0 | 20.0 | 0.50 | 0.50 | 2.00 |\n| Granny<br>Smith | ∆ | (0.55,0.70,0.35) | (0.60,0.80,0.45) | 1.0 | 25.0 | 1.00 | 1.00 | 1.00 |","|  | L1MB | GS | TC-bw | TC | IAMB | IAMB1 | IAMB2 | IAMB3 | OR-SGBN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Factors | 47.66 | 50.74 | 49.40 | 49.74 | 50.28 | 49.70 | 50.28 | 50.28 | 17.70 |\n| Alarm | 36.04 | 37.72 | 36.86 | 39.24 | 40.96 | 37.30 | 40.96 | 40.96 | 23.14 |\n| Barley | 71.70 | 72.30 | 72.60 | 80.76 | 82.96 | 69.76 | 82.96 | 82.96 | 48.70 |\n| Carpo | 71.96 | 76.30 | 75.14 | 77.38 | 77.18 | 77.36 | 77.18 | 77.18 | 14.56 |\n| Chain | 2.66 | 2.44 | 2.76 | 2.22 | 2.36 | 2.50 | 2.36 | 2.36 | 3.52 |\n| Hailﬁnder | 60.00 | 62.04 | 63.16 | 65.42 | 66.40 | 60.90 | 66.40 | 66.40 | 28.66 |\n| Insurance | 42.80 | 42.16 | 41.72 | 44.06 | 48.08 | 41.42 | 48.08 | 48.08 | 31.20 |\n| Mildew | 46.22 | 46.46 | 45.46 | 49.82 | 52.48 | 44.82 | 52.48 | 52.48 | 33.86 |\n| Water | 64.52 | 65.02 | 63.70 | 68.06 | 74.22 | 63.48 | 74.22 | 74.22 | 46.74 |",0]
["| Concept | ∆S | p | p | µ0 | c | W<br>wwwδδδtastecolorshape |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pear | ∆ | (0.50,0.40,0.35) | (0.70,0.60,0.45) | 1.0 | 12.0 | 0.50 | 1.25 | 1.25 |","| Orange | ∆ | (0.80,0.90,0.60) | (0.90,1.00,0.70) | 1.0 | 15.0 | 1.00 | 1.00 | 1.00 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Lemon | ∆ | (0.70,0.45,0.00) | (0.80,0.55,0.10) | 1.0 | 20.0 | 0.50 | 0.50 | 2.00 |\n| Granny<br>Smith | ∆ | (0.55,0.70,0.35) | (0.60,0.80,0.45) | 1.0 | 25.0 | 1.00 | 1.00 | 1.00 |\n| Apple | ∆ | (0.50,0.65,0.35)<br>(0.65,0.65,0.40)<br>(0.70,0.65,0.45) | (0.80,0.80,0.50)<br>(0.85,0.80,0.55)<br>(1.00,0.80,0.60) | 1.0 | 10.0 | 0.50 | 1.50 | 1.00 |\n| Red | {δ}color | (0.90,-∞,-∞) | (1.00,+∞,+∞) | 1.0 | 20.0 | 1.00 | – | – |",1]
["| Concept | ∆S | p | p | µ0 | c | W<br>wwwδδδtastecolorshape |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Pear | ∆ | (0.50,0.40,0.35) | (0.70,0.60,0.45) | 1.0 | 12.0 | 0.50 | 1.25 | 1.25 |","| Carpo | 71.96 | 76.30 | 75.14 | 77.38 | 77.18 | 77.36 | 77.18 | 77.18 | 14.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Chain | 2.66 | 2.44 | 2.76 | 2.22 | 2.36 | 2.50 | 2.36 | 2.36 | 3.52 |\n| Hailﬁnder | 60.00 | 62.04 | 63.16 | 65.42 | 66.40 | 60.90 | 66.40 | 66.40 | 28.66 |\n| Insurance | 42.80 | 42.16 | 41.72 | 44.06 | 48.08 | 41.42 | 48.08 | 48.08 | 31.20 |\n| Mildew | 46.22 | 46.46 | 45.46 | 49.82 | 52.48 | 44.82 | 52.48 | 52.48 | 33.86 |\n| Water | 64.52 | 65.02 | 63.70 | 68.06 | 74.22 | 63.48 | 74.22 | 74.22 | 46.74 |",0]
["| Domain | Count |\n| --- | --- |\n| tinyurl.com | 1,179,369 |\n| google.com | 562,557 |","| bit.ly | 328,016 |\n| --- | --- |\n| dietagolder670.ru | 54,585 |\n| goroskopsiris2346.ru | 54,414 |\n| dietagoliu4758.ru | 52,992 |\n| dietaseru858.ru | 51,894 |",1]
["| Domain | Count |\n| --- | --- |\n| tinyurl.com | 1,179,369 |\n| google.com | 562,557 |","| Referrer | Clicks |\n| --- | --- |\n| http://www.google.com | 980 |\n| http://m.facebook.com | 670 |\n| http://fasebook.c0m.at | 640 |\n| http://www.facebook.com | 550 |\n| http://www.clixsense.com | 220 |\n| http://www.youtube.com | 181 |\n| http://servinox.com.co | 132 |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",0]
["| Domain | Count |\n| --- | --- |\n| tinyurl.com | 1,179,369 |","| google.com | 562,557 |\n| --- | --- |\n| bit.ly | 328,016 |\n| dietagolder670.ru | 54,585 |\n| goroskopsiris2346.ru | 54,414 |\n| dietagoliu4758.ru | 52,992 |\n| dietaseru858.ru | 51,894 |",1]
["| Domain | Count |\n| --- | --- |\n| tinyurl.com | 1,179,369 |","| http://www.clixsense.com | 220 |\n| --- | --- |\n| http://www.youtube.com | 181 |\n| http://servinox.com.co | 132 |\n| http://www.akihabarashop.jp | 130 |\n| http://dﬂogins.1s.fr | 91 |\n| http://www.google.ro | 90 |",0]
["| track | cc | cc(RG) | L | LRG | σ |\n| --- | --- | --- | --- | --- | --- |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 | 17.8 |\n| M.Davis–SoWhat | 0.32 | 0.05 | 2.51 | 4.22 | 10.7 |\n| J.Coltrane–GiantSteps | 0.40 | 0.07 | 4.56 | 4.42 | 5.5 |","| N.Paganini–Capriceno.24 | 0.20 | 0.01 | 3.71 | 5.55 | 29.9 |\n| --- | --- | --- | --- | --- | --- |\n| N.Rimsky-Korsakov–FlightoftheBumblebee | 0.25 | 0.03 | 2.60 | 4.37 | 14 |\n| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 | 11.6 |\n| B.B.King–WorriedLifeBlues | 0.09 | 0.05 | 3.04 | 3.58 | 2.1 |\n| PinkFloyd–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 | 1.9 |",1]
["| track | cc | cc(RG) | L | LRG | σ |\n| --- | --- | --- | --- | --- | --- |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 | 17.8 |\n| M.Davis–SoWhat | 0.32 | 0.05 | 2.51 | 4.22 | 10.7 |\n| J.Coltrane–GiantSteps | 0.40 | 0.07 | 4.56 | 4.42 | 5.5 |","| song | cc | cc(RG) | avgdist | avgdist(RG) |\n| --- | --- | --- | --- | --- |\n| B.B.King–Rockmebaby | 0.41 | 0.11 | 2.17 | 3.26 |\n| D.Gilmour(PinkFloyd)–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 |\n| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 |",0]
["| track | cc | cc(RG) | L | LRG | σ |\n| --- | --- | --- | --- | --- | --- |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 | 17.8 |","| M.Davis–SoWhat | 0.32 | 0.05 | 2.51 | 4.22 | 10.7 |\n| --- | --- | --- | --- | --- | --- |\n| J.Coltrane–GiantSteps | 0.40 | 0.07 | 4.56 | 4.42 | 5.5 |\n| N.Paganini–Capriceno.24 | 0.20 | 0.01 | 3.71 | 5.55 | 29.9 |\n| N.Rimsky-Korsakov–FlightoftheBumblebee | 0.25 | 0.03 | 2.60 | 4.37 | 14 |\n| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 | 11.6 |\n| B.B.King–WorriedLifeBlues | 0.09 | 0.05 | 3.04 | 3.58 | 2.1 |\n| PinkFloyd–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 | 1.9 |",1]
["| track | cc | cc(RG) | L | LRG | σ |\n| --- | --- | --- | --- | --- | --- |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 | 17.8 |","| D.Gilmour(PinkFloyd)–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 |\n| --- | --- | --- | --- | --- |\n| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 |",0]
["|  | Prec@1 | Prec@5 | Prec@10 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | test | train | unseen | test | train | unseen | test | train | unseen |\n| Airport | 0.90 | 0.98 | 0.54 | 0.96 | 0.99 | 0.70 | 0.99 | 1 | 0.79 |\n| Astronaut | 0.91 | 0.96 | 0.88 | 0.97 | 0.99 | 0.98 | 0.98 | 1 | 0.98 |\n| Building | 0.89 | 0.99 | 0.77 | 0.94 | 1 | 0.90 | 0.97 | 1 | 0.95 |\n| City | 0.73 | 0.98 | 0.93 | 0.93 | 1 | 0.98 | 0.96 | 1 | 1 |\n| ComicsCharacter | 0.76 | 0.99 | 0.29 | 0.97 | 1 | 0.80 | 0.98 | 1 | 0.97 |\n| Food | 0.85 | 0.94 | 0.69 | 0.94 | 0.98 | 0.90 | 0.94 | 0.98 | 0.91 |","| Monument | 0.94 | 1 | 0.90 | 0.98 | 1 | 0.98 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SportTeam | 0.90 | 1 | 0.66 | 0.97 | 1 | 0.83 | 0.99 | 1 | 0.92 |\n| University | 0.95 | 1 | 0.93 | 0.99 | 1 | 1 | 1 | 1 | 1 |\n| WrittenWork | 0.88 | 0.95 | 0.63 | 0.97 | 0.99 | 0.79 | 0.99 | 0.99 | 0.86 |",1]
["|  | Prec@1 | Prec@5 | Prec@10 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | test | train | unseen | test | train | unseen | test | train | unseen |\n| Airport | 0.90 | 0.98 | 0.54 | 0.96 | 0.99 | 0.70 | 0.99 | 1 | 0.79 |\n| Astronaut | 0.91 | 0.96 | 0.88 | 0.97 | 0.99 | 0.98 | 0.98 | 1 | 0.98 |\n| Building | 0.89 | 0.99 | 0.77 | 0.94 | 1 | 0.90 | 0.97 | 1 | 0.95 |\n| City | 0.73 | 0.98 | 0.93 | 0.93 | 1 | 0.98 | 0.96 | 1 | 1 |\n| ComicsCharacter | 0.76 | 0.99 | 0.29 | 0.97 | 1 | 0.80 | 0.98 | 1 | 0.97 |\n| Food | 0.85 | 0.94 | 0.69 | 0.94 | 0.98 | 0.90 | 0.94 | 0.98 | 0.91 |","| Class | mEAS | CorLoc | Class | mEAS | CorLoc |\n| --- | --- | --- | --- | --- | --- |\n| bus | 0.306 | 0.699 | car | 0.262 | 0.750 |\n| tv | 0.254 | 0.582 | aero | 0.220 | 0.685 |\n| mbike | 0.206 | 0.829 | train | 0.206 | 0.628 |\n| horse | 0.195 | 0.672 | cow | 0.185 | 0.681 |\n| boat | 0.177 | 0.343 | sheep | 0.176 | 0.719 |\n| bike | 0.170 | 0.675 | bird | 0.170 | 0.567 |\n| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |\n| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |\n| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",0]
["|  | Prec@1 | Prec@5 | Prec@10 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | test | train | unseen | test | train | unseen | test | train | unseen |\n| Airport | 0.90 | 0.98 | 0.54 | 0.96 | 0.99 | 0.70 | 0.99 | 1 | 0.79 |\n| Astronaut | 0.91 | 0.96 | 0.88 | 0.97 | 0.99 | 0.98 | 0.98 | 1 | 0.98 |\n| Building | 0.89 | 0.99 | 0.77 | 0.94 | 1 | 0.90 | 0.97 | 1 | 0.95 |\n| City | 0.73 | 0.98 | 0.93 | 0.93 | 1 | 0.98 | 0.96 | 1 | 1 |\n| ComicsCharacter | 0.76 | 0.99 | 0.29 | 0.97 | 1 | 0.80 | 0.98 | 1 | 0.97 |\n| Food | 0.85 | 0.94 | 0.69 | 0.94 | 0.98 | 0.90 | 0.94 | 0.98 | 0.91 |","| Monument | 0.94 | 1 | 0.90 | 0.98 | 1 | 0.98 | 1 | 1 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SportTeam | 0.90 | 1 | 0.66 | 0.97 | 1 | 0.83 | 0.99 | 1 | 0.92 |\n| University | 0.95 | 1 | 0.93 | 0.99 | 1 | 1 | 1 | 1 | 1 |\n| WrittenWork | 0.88 | 0.95 | 0.63 | 0.97 | 0.99 | 0.79 | 0.99 | 0.99 | 0.86 |",1]
["|  | Prec@1 | Prec@5 | Prec@10 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | test | train | unseen | test | train | unseen | test | train | unseen |\n| Airport | 0.90 | 0.98 | 0.54 | 0.96 | 0.99 | 0.70 | 0.99 | 1 | 0.79 |\n| Astronaut | 0.91 | 0.96 | 0.88 | 0.97 | 0.99 | 0.98 | 0.98 | 1 | 0.98 |\n| Building | 0.89 | 0.99 | 0.77 | 0.94 | 1 | 0.90 | 0.97 | 1 | 0.95 |\n| City | 0.73 | 0.98 | 0.93 | 0.93 | 1 | 0.98 | 0.96 | 1 | 1 |\n| ComicsCharacter | 0.76 | 0.99 | 0.29 | 0.97 | 1 | 0.80 | 0.98 | 1 | 0.97 |\n| Food | 0.85 | 0.94 | 0.69 | 0.94 | 0.98 | 0.90 | 0.94 | 0.98 | 0.91 |","| sofa | 0.165 | 0.620 | plant | 0.163 | 0.437 |\n| --- | --- | --- | --- | --- | --- |\n| person | 0.162 | 0.288 | bottle | 0.150 | 0.328 |\n| cat | 0.143 | 0.457 | dog | 0.135 | 0.406 |\n| chair | 0.093 | 0.171 | table | 0.052 | 0.305 |",0]
["| Software | Bugs |\n| --- | --- |\n| Vim | viminfo:Illegalstartingchar |","| tar | Failusing’-C’optionextractingarchivewithemptydirectories |\n| --- | --- |\n| “Operationnotpermitted”whenextracting |  |\n| Thunderbird | Unabletolocatemailspoolﬁle |\n| segmentationfault(coredumped) |  |\n| Firefox | Buserror(coredumped) |\n| FatalIOerror(Operationnotpermitted)onXserver |  |",1]
["| Software | Bugs |\n| --- | --- |\n| Vim | viminfo:Illegalstartingchar |","| logged | gt | code |\n| --- | --- | --- |\n| patch | ﬁle | object |\n| issue | lt | class |\n| bugs | line | case |\n| bug | os | method |\n| problem | import | type |\n| ﬁx | print | list |\n| ﬁxed | call | set |\n| days | read | objects |\n| created | socket | change |\n| time | path | imple |\n| docu | data | functions |\n| module | error | argument |\n| docs | open | dict |\n| added | windows | add |\n| check | problem | def |\n| doc | traceback | methods |\n| doesnt | mailto | exception |",0]
["| Software | Bugs |\n| --- | --- |\n| Vim | viminfo:Illegalstartingchar |\n| tar | Failusing’-C’optionextractingarchivewithemptydirectories |","| “Operationnotpermitted”whenextracting |  |\n| --- | --- |\n| Thunderbird | Unabletolocatemailspoolﬁle |\n| segmentationfault(coredumped) |  |\n| Firefox | Buserror(coredumped) |\n| FatalIOerror(Operationnotpermitted)onXserver |  |",1]
["| Software | Bugs |\n| --- | --- |\n| Vim | viminfo:Illegalstartingchar |\n| tar | Failusing’-C’optionextractingarchivewithemptydirectories |","| module | error | argument |\n| --- | --- | --- |\n| docs | open | dict |\n| added | windows | add |\n| check | problem | def |\n| doc | traceback | methods |\n| doesnt | mailto | exception |",0]
["| (1860):[orange,vanilla,almond] |\n| --- |\n| (1675):[vanilla,egg,orange] |\n| (746):[vanilla,butter,egg] |","| (677):[raisin,orangejuice,orange] |\n| --- |\n| (522):[cream,vanilla,milk] |\n| (156):[garlic,coriander,cayenne] |\n| (95):[coriander,pepper,turmeric] |\n| (70):[bread,tomato,cucumber] |\n| (43):[bread,lamb,garlic] |",1]
["| (1860):[orange,vanilla,almond] |\n| --- |\n| (1675):[vanilla,egg,orange] |\n| (746):[vanilla,butter,egg] |","| OriginalIngredient | AlternativeIngredient | P(Japanese) | P(French) | #ofreplacement |\n| --- | --- | --- | --- | --- |\n| - | - | 0.974 | 0.000 | 0 |\n| Mirin | Calvados | 0.552 | 0.009 | 1 |\n| Vegetableoil | Oliveoil | 0.393 | 0.031 | 2 |\n| Soysauce | Bouquetgarni | 0.011 | 0.976 | 3 |\n| Greenonions | Freshtarragon | 0.000 | 0.997 | 4 |\n| Egg | Meltedbutter | 0.000 | 0.999 | 5 |",0]
["| (1860):[orange,vanilla,almond] |\n| --- |\n| (1675):[vanilla,egg,orange] |\n| (746):[vanilla,butter,egg] |\n| (677):[raisin,orangejuice,orange] |\n| (522):[cream,vanilla,milk] |","| (156):[garlic,coriander,cayenne] |\n| --- |\n| (95):[coriander,pepper,turmeric] |\n| (70):[bread,tomato,cucumber] |\n| (43):[bread,lamb,garlic] |",1]
["| (1860):[orange,vanilla,almond] |\n| --- |\n| (1675):[vanilla,egg,orange] |\n| (746):[vanilla,butter,egg] |\n| (677):[raisin,orangejuice,orange] |\n| (522):[cream,vanilla,milk] |","| Soysauce | Bouquetgarni | 0.011 | 0.976 | 3 |\n| --- | --- | --- | --- | --- |\n| Greenonions | Freshtarragon | 0.000 | 0.997 | 4 |\n| Egg | Meltedbutter | 0.000 | 0.999 | 5 |",0]
["| Methods | aero | bicycle | boat | bus | car | chair | table | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VDPM | 34.6 | 41.7 | 1.5 | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 |\n| DPM-VOC+VP | 37.4 | 43.9 | 0.3 | 48.6 | 36.9 | 6.1 | 2.1 | 31.8 | 11.8 | 11.1 |\n| RCNN+Alex | 54.0 | 50.5 | 15.1 | 57.1 | 41.8 | 15.7 | 18.6 | 50.8 | 28.4 | 46.1 |\n| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |","| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |\n| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |\n| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |\n| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |\n| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |\n| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |\n| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |\n| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |\n| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |\n| RCNN+Alex | 27.5 | 25.8 | 6.5 | 45.8 | 29.7 | 8.5 | 12.0 | 31.4 | 17.7 | 29.7 |\n| VpKps | 46.6 | 42.0 | 12.7 | 64.6 | 42.7 | 20.8 | 18.5 | 38.8 | 33.5 | 42.5 |\n| OursShare300 | 45.4 | 33.4 | 13.7 | 52.9 | 32.9 | 5.3 | 27.2 | 38.8 | 27.3 | 37.4 |\n| OursShare500 | 45.9 | 39.6 | 14.0 | 54.0 | 35.4 | 7.4 | 26.4 | 40.4 | 29.2 | 41.5 |\n| VDPM | 8.0 | 14.3 | 0.3 | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 |\n| DPM-VOC+VP | 9.7 | 16.7 | 2.2 | 42.1 | 24.6 | 4.2 | 2.1 | 10.5 | 4.1 | 20.7 |\n| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |\n| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |\n| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |\n| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 |",1]
["| Methods | aero | bicycle | boat | bus | car | chair | table | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VDPM | 34.6 | 41.7 | 1.5 | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 |\n| DPM-VOC+VP | 37.4 | 43.9 | 0.3 | 48.6 | 36.9 | 6.1 | 2.1 | 31.8 | 11.8 | 11.1 |\n| RCNN+Alex | 54.0 | 50.5 | 15.1 | 57.1 | 41.8 | 15.7 | 18.6 | 50.8 | 28.4 | 46.1 |\n| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |","| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Methods | aero | bicycle | boat | bus | car | chair | table | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VDPM | 34.6 | 41.7 | 1.5 | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 |\n| DPM-VOC+VP | 37.4 | 43.9 | 0.3 | 48.6 | 36.9 | 6.1 | 2.1 | 31.8 | 11.8 | 11.1 |\n| RCNN+Alex | 54.0 | 50.5 | 15.1 | 57.1 | 41.8 | 15.7 | 18.6 | 50.8 | 28.4 | 46.1 |\n| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |\n| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |\n| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |\n| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |\n| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |\n| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |\n| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |\n| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |\n| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |\n| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |\n| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |","| RCNN+Alex | 27.5 | 25.8 | 6.5 | 45.8 | 29.7 | 8.5 | 12.0 | 31.4 | 17.7 | 29.7 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VpKps | 46.6 | 42.0 | 12.7 | 64.6 | 42.7 | 20.8 | 18.5 | 38.8 | 33.5 | 42.5 |\n| OursShare300 | 45.4 | 33.4 | 13.7 | 52.9 | 32.9 | 5.3 | 27.2 | 38.8 | 27.3 | 37.4 |\n| OursShare500 | 45.9 | 39.6 | 14.0 | 54.0 | 35.4 | 7.4 | 26.4 | 40.4 | 29.2 | 41.5 |\n| VDPM | 8.0 | 14.3 | 0.3 | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 |\n| DPM-VOC+VP | 9.7 | 16.7 | 2.2 | 42.1 | 24.6 | 4.2 | 2.1 | 10.5 | 4.1 | 20.7 |\n| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |\n| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |\n| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |\n| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 |",1]
["| Methods | aero | bicycle | boat | bus | car | chair | table | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VDPM | 34.6 | 41.7 | 1.5 | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 |\n| DPM-VOC+VP | 37.4 | 43.9 | 0.3 | 48.6 | 36.9 | 6.1 | 2.1 | 31.8 | 11.8 | 11.1 |\n| RCNN+Alex | 54.0 | 50.5 | 15.1 | 57.1 | 41.8 | 15.7 | 18.6 | 50.8 | 28.4 | 46.1 |\n| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |\n| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |\n| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |\n| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |\n| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |\n| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |\n| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |\n| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |\n| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |\n| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |\n| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |","| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",0]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 11.4 | 2 | 5 | 31996 |\n| δ-Greedy | 2 | 11.4 | 2 | 5 | 55 |\n| δ-Greedy | 1.866 | 11.9 | 2 | 5 | 52 |\n| δ-Greedy | 1.414 | 16.3 | 3 | 8 | 44 |\n| θ-Graph | - | 85.3 | 48 | 42 | - |","| Greedyonθ-Graph | 1.866 | 11.9 | 3 | 6 | 493 |\n| --- | --- | --- | --- | --- | --- |\n| Greedyonθ-Graph | 1.414 | 16.5 | 3 | 8 | 129 |\n| Gap-Greedy | - | 16 | 3 | 8 | 63 |",1]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 11.4 | 2 | 5 | 31996 |\n| δ-Greedy | 2 | 11.4 | 2 | 5 | 55 |\n| δ-Greedy | 1.866 | 11.9 | 2 | 5 | 52 |\n| δ-Greedy | 1.414 | 16.3 | 3 | 8 | 44 |\n| θ-Graph | - | 85.3 | 48 | 42 | - |","| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 15.1 | 3 | 7 | 31996 |\n| δ-Greedy | 1.5 | 15.1 | 3 | 7 | 82 |\n| δ-Greedy | 1.44 | 16 | 3 | 8 | 77 |\n| δ-Greedy | 1.224 | 22.5 | 5 | 11 | 63 |\n| θ-Graph | - | 118.6 | 76 | 53 | - |\n| Greedyonθ-Graph | 1.44 | 16 | 3 | 8 | 817 |\n| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |\n| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |",0]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 11.4 | 2 | 5 | 31996 |\n| δ-Greedy | 2 | 11.4 | 2 | 5 | 55 |\n| δ-Greedy | 1.866 | 11.9 | 2 | 5 | 52 |\n| δ-Greedy | 1.414 | 16.3 | 3 | 8 | 44 |","| θ-Graph | - | 85.3 | 48 | 42 | - |\n| --- | --- | --- | --- | --- | --- |\n| Greedyonθ-Graph | 1.866 | 11.9 | 3 | 6 | 493 |\n| Greedyonθ-Graph | 1.414 | 16.5 | 3 | 8 | 129 |\n| Gap-Greedy | - | 16 | 3 | 8 | 63 |",1]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 11.4 | 2 | 5 | 31996 |\n| δ-Greedy | 2 | 11.4 | 2 | 5 | 55 |\n| δ-Greedy | 1.866 | 11.9 | 2 | 5 | 52 |\n| δ-Greedy | 1.414 | 16.3 | 3 | 8 | 44 |","| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |\n| --- | --- | --- | --- | --- | --- |\n| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |",0]
["| Benchmark | Numberofannotations | ExtraLoC |\n| --- | --- | --- |\n| Crypt | 2 | 1 |\n| LUFact | 1 | 3 |\n| Series | 1 | 3 |","| SOR | 2 | 1 |\n| --- | --- | --- |\n| SparseMatMult | 3 | 50 |",1]
["| Benchmark | Numberofannotations | ExtraLoC |\n| --- | --- | --- |\n| Crypt | 2 | 1 |\n| LUFact | 1 | 3 |\n| Series | 1 | 3 |","| Benchmark | Conﬁguration | Executiontime(s) |\n| --- | --- | --- |\n| ClassA |  |  |\n| Crypt | vectorsize:3000000 | 0,225 |\n| LUFact | matrixsize:500 | 0,091 |\n| Series | Numberofcoeﬃcients:10000 | 10,054 |\n| SOR | matrixsize:1000 | 0,885 |\n| SparseMatMult | matrixsize:50000 | 0,665 |\n| ClassB |  |  |\n| Crypt | vectorsize:20000000 | 1,341 |\n| LUFact | matrixsize:1000 | 0,778 |\n| Series | Numberofcoeﬃcients:100000 | 102,973 |\n| SOR | matrixsize:1500 | 2,021 |\n| SparseMatMult | matrixsize:100000 | 1,744 |\n| ClassC |  |  |\n| Crypt | vectorsize:50000000 | 3,340 |\n| LUFact | matrixsize:2000 | 9,181 |\n| Series | Numberofcoeﬃcients:1000000 | 1669,133 |\n| SOR | matrixsize:2000 | 3,432 |\n| SparseMatMult | matrixsize:500000 | 19,448 |",0]
["| Benchmark | Numberofannotations | ExtraLoC |\n| --- | --- | --- |\n| Crypt | 2 | 1 |","| LUFact | 1 | 3 |\n| --- | --- | --- |\n| Series | 1 | 3 |\n| SOR | 2 | 1 |\n| SparseMatMult | 3 | 50 |",1]
["| Benchmark | Numberofannotations | ExtraLoC |\n| --- | --- | --- |\n| Crypt | 2 | 1 |","| SparseMatMult | matrixsize:100000 | 1,744 |\n| --- | --- | --- |\n| ClassC |  |  |\n| Crypt | vectorsize:50000000 | 3,340 |\n| LUFact | matrixsize:2000 | 9,181 |\n| Series | Numberofcoeﬃcients:1000000 | 1669,133 |\n| SOR | matrixsize:2000 | 3,432 |\n| SparseMatMult | matrixsize:500000 | 19,448 |",0]
["| Name | #sequences | Length(frames) | Approx.durationat25fps |\n| --- | --- | --- | --- |\n| Greenballtraining | 5 | 12,764 | 8.5min |\n| Greenballtesting | 29 | 34,791 | 23min |\n| Stopsigntraining | 20 | 15,342 | 10min |\n| Stopsigntesting | 30 | 22,240 | 15min |","| Facetraining | 10 | 29,444 | 19.6min |\n| --- | --- | --- | --- |\n| Facetesting | 25 | 34,199 | 23min |\n| Totaltraining | 35 | 57,550 | 38min |\n| Totaltesting | 84 | 91,230 | 60min |",1]
["| Name | #sequences | Length(frames) | Approx.durationat25fps |\n| --- | --- | --- | --- |\n| Greenballtraining | 5 | 12,764 | 8.5min |\n| Greenballtesting | 29 | 34,791 | 23min |\n| Stopsigntraining | 20 | 15,342 | 10min |\n| Stopsigntesting | 30 | 22,240 | 15min |","| numberoftrials |  |  |  |\n| --- | --- | --- | --- |\n| task | trajectorypretraining | end-to-endtraining | total |\n| coathanger | 120 | 36 | 156 |\n| shapecube | 90 | 81 | 171 |\n| toyhammer | 150 | 90 | 240 |\n| bottlecap | 180 | 108 | 288 |",0]
["| Name | #sequences | Length(frames) | Approx.durationat25fps |\n| --- | --- | --- | --- |\n| Greenballtraining | 5 | 12,764 | 8.5min |\n| Greenballtesting | 29 | 34,791 | 23min |\n| Stopsigntraining | 20 | 15,342 | 10min |\n| Stopsigntesting | 30 | 22,240 | 15min |\n| Facetraining | 10 | 29,444 | 19.6min |","| Facetesting | 25 | 34,199 | 23min |\n| --- | --- | --- | --- |\n| Totaltraining | 35 | 57,550 | 38min |\n| Totaltesting | 84 | 91,230 | 60min |",1]
["| Name | #sequences | Length(frames) | Approx.durationat25fps |\n| --- | --- | --- | --- |\n| Greenballtraining | 5 | 12,764 | 8.5min |\n| Greenballtesting | 29 | 34,791 | 23min |\n| Stopsigntraining | 20 | 15,342 | 10min |\n| Stopsigntesting | 30 | 22,240 | 15min |\n| Facetraining | 10 | 29,444 | 19.6min |","| toyhammer | 150 | 90 | 240 |\n| --- | --- | --- | --- |\n| bottlecap | 180 | 108 | 288 |",0]
["| Program | LocFaults |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| P |  |  |  |  |  |\n|  |  |  |  |  |  |\n| TritypeKO2 | 0,471 | 0,023 | 0,241 | 2,529 | 5,879 |","| TritypeKO4 | 0,476 | 0,022 | 0,114 | 0,348 | 5,55 |\n| --- | --- | --- | --- | --- | --- |\n| TriPerimetreKO3 | 0,487 | 0,052 | 0,237 | 2,468 | 6,103 |",1]
["| Program | LocFaults |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| P |  |  |  |  |  |\n|  |  |  |  |  |  |\n| TritypeKO2 | 0,471 | 0,023 | 0,241 | 2,529 | 5,879 |","| Dim | 300 | 400 | 500 | 600 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 46.1 | 48.61 | 42.57 | 45.34 | 46.85 | 50.88 | 40.3 | 45.84 |\n| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |\n| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |\n| Dim | 700 | 800 | 900 | 1000 |  |  |  |  |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 |\n| esslli | 54.55 | 54.55 | 68.18 | 56.82 | 72.73 | 72.73 | 52.27 | 52.27 |\n| battig | 62.96 | 66.67 | 67.9 | 69.14 | 49.38 | 59.26 | 51.85 | 46.91 |",0]
["| Program | LocFaults |  |  |\n| --- | --- | --- | --- |\n| P |  |  |  |\n|  |  |  |  |","| TritypeKO2 | 0,471 | 0,023 | 0,241 | 2,529 | 5,879 |\n| --- | --- | --- | --- | --- | --- |\n| TritypeKO4 | 0,476 | 0,022 | 0,114 | 0,348 | 5,55 |\n| TriPerimetreKO3 | 0,487 | 0,052 | 0,237 | 2,468 | 6,103 |",1]
["| Program | LocFaults |  |  |\n| --- | --- | --- | --- |\n| P |  |  |  |\n|  |  |  |  |","| esslli | 68.18 | 72.73 | 64.2 | 82.72 | 64.2 | 65.43 | 65.91 | 72.73 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| battig | 71.6 | 77.78 | 68.18 | 75 | 68.18 | 70.45 | 46.91 | 66.67 |\n| Dim | 700 | 800 | 900 | 1000 |  |  |  |  |\n| orig. | proc. | orig. | proc. | orig. | proc. | orig. | proc. |  |\n| ap | 38.04 | 41.31 | 34.76 | 39.8 | 34.76 | 27.46 | 27.96 | 28.21 |\n| esslli | 54.55 | 54.55 | 68.18 | 56.82 | 72.73 | 72.73 | 52.27 | 52.27 |\n| battig | 62.96 | 66.67 | 67.9 | 69.14 | 49.38 | 59.26 | 51.85 | 46.91 |",0]
["| N | 1 | 2 | 5 | 10 | 20 | 100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) |","| Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |\n| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |",1]
["| N | 1 | 2 | 5 | 10 | 20 | 100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) |","| Accuracy/n | 100 | 1K | 10K | 50K |\n| --- | --- | --- | --- | --- |\n| 0.5 | 1 | 0.99 | 0.52 | 0.78 |\n| 0.6 | 1 | 0.92 | 0.75 | 0.88 |\n| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| N | 1 | 2 | 5 | 10 | 20 | 100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) |","| Uniform | 0.29(0.07)) | 0.32(0.07) | 0.44(0.06) | 0.54(0.04) | 0.65(0.03) | 0.79(0.03) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Faster-RCNN | 0.24 | 0.25 | 0.28 | 0.38 | 0.54 | 0.91 |\n| IRSG | 0.24 | 0.24 | 0.27 | 0.37 | 0.55 | 0.87 |",1]
["| N | 1 | 2 | 5 | 10 | 20 | 100 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Situate | 0.37(0.09) | 0.50(0.07) | 0.56(0.07) | 0.65(0.04) | 0.77(0.05) | 0.93(0.02) |","| 0.6 | 1 | 0.92 | 0.75 | 0.88 |\n| --- | --- | --- | --- | --- |\n| 0.7 | 0.99 | 0.15 | 0.87 | 0.63 |\n| 0.8 | 0.93 | 0.49 | 0.51 | 0.12 |\n| 0.9 | 0.93 | 0.75 | 0.28 | 0.47 |\n| 1.0 | 0.84 | 0.48 | 0.43 | 0.64 |",0]
["| relation | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| preference | 0.8 | 0.2 | 0.3 | 0.1 |","| inversepreference | 0.1 | 0.9 | 0.2 | 0.1 |\n| --- | --- | --- | --- | --- |\n| indiﬀerence | 0.3 | 0.3 | 0.7 | 0 |\n| incomparability | 0.1 | 0.1 | 0 | 0.9 |",1]
["| relation | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| preference | 0.8 | 0.2 | 0.3 | 0.1 |","| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0 | 0.13975 | 0.23775 | 0.232 | 0.025 | 0.3655 |\n| (2,3) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["| relation | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| preference | 0.8 | 0.2 | 0.3 | 0.1 |","| inversepreference | 0.1 | 0.9 | 0.2 | 0.1 |\n| --- | --- | --- | --- | --- |\n| indiﬀerence | 0.3 | 0.3 | 0.7 | 0 |\n| incomparability | 0.1 | 0.1 | 0 | 0.9 |",1]
["| relation | ω1 | ω2 | ω3 | ω4 |\n| --- | --- | --- | --- | --- |\n| preference | 0.8 | 0.2 | 0.3 | 0.1 |","| (2,4) | 0 | 0.1 | 0.152 | 0.138 | 0.14875 | 0.46125 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (3,4) | 0 | 0.1765 | 0.05 | 0.10825 | 0.17 | 0.49525 |\n| (4,5) | 0 | 0.241 | 0.234 | 0.152 | 0.06775 | 0.30525 |",0]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |\n| --- | --- | --- | --- |\n| LeftVentricle | RightVentricle | LeftAtrium |  |","| Case1 | 157min46sec | 18min46sec | 0.90 | 0.90 | 0.89 |\n| --- | --- | --- | --- | --- | --- |\n| Case2 | 131min26sec | 13min45sec | 0.90 | 0.87 | 0.92 |\n| Case3 | 88min29sec | 13min35sec | 0.91 | 0.84 | 0.93 |",1]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |\n| --- | --- | --- | --- |\n| LeftVentricle | RightVentricle | LeftAtrium |  |","|  | Manu.Segmentation | Interact.Segmentation | Dice |  |  |\n| --- | --- | --- | --- | --- | --- |\n| User1 | User2 | User3 |  |  |  |\n| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |\n| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 |\n| BrainStem | 9min2sec | 5min30sec | 0.86 | 0.85 | 0.80 |\n| Mandible | 29min37sec | 10min15sec | 0.81 | 0.90 | 0.86 |",0]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |\n| --- | --- | --- | --- |\n| LeftVentricle | RightVentricle | LeftAtrium |  |","| Case1 | 157min46sec | 18min46sec | 0.90 | 0.90 | 0.89 |\n| --- | --- | --- | --- | --- | --- |\n| Case2 | 131min26sec | 13min45sec | 0.90 | 0.87 | 0.92 |\n| Case3 | 88min29sec | 13min35sec | 0.91 | 0.84 | 0.93 |",1]
["|  | Manu.Segmentation | Interact.Segmentation | Dice |\n| --- | --- | --- | --- |\n| LeftVentricle | RightVentricle | LeftAtrium |  |","| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |\n| --- | --- | --- | --- | --- | --- |\n| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 |\n| BrainStem | 9min2sec | 5min30sec | 0.86 | 0.85 | 0.80 |\n| Mandible | 29min37sec | 10min15sec | 0.81 | 0.90 | 0.86 |",0]
["| kakuro | magic |  |  |  |\n| --- | --- | --- | --- | --- |\n| #instances | cutoﬀ | #instances | cutoﬀ |  |\n| 100 | 3600s | 40 | 3600s |  |\n| #solved | avg.time | #solved | avg.time |  |\n| argosmt-sbc | 40 | 2521s | 40 | 296s |\n| argosmt-ibc | 94 | 464s | 40 | 226s |\n| argosmt-bel | 99 | 196s | 40 | 198s |","| sugar | 100 | 91s | 40 | 57s |\n| --- | --- | --- | --- | --- |\n| mistral | 10 | 3305s | 39 | 111s |\n| opturion | 55 | 2126s | 40 | 10s |",1]
["| kakuro | magic |  |  |  |\n| --- | --- | --- | --- | --- |\n| #instances | cutoﬀ | #instances | cutoﬀ |  |\n| 100 | 3600s | 40 | 3600s |  |\n| #solved | avg.time | #solved | avg.time |  |\n| argosmt-sbc | 40 | 2521s | 40 | 296s |\n| argosmt-ibc | 94 | 464s | 40 | 226s |\n| argosmt-bel | 99 | 196s | 40 | 198s |","| name | \\|V\\| | \\|E\\| | tw(G) | safeseparatorsfound | maxsubproblem | time(secs) |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex181 | 109 | 732 | 18 | 18 | 89 | 0.078 |\n| ex183 | 265 | 471 | 11 | 173 | 76 | 0.031 |\n| ex185 | 237 | 793 | 14 | 142 | 52 | 0.046 |\n| ex187 | 240 | 453 | 10 | 138 | 81 | 0.031 |\n| ex189 | 178 | 4517 | 70 | 6 | 161 | 0.062 |\n| ex191 | 492 | 1608 | 15 | 184 | 132 | 0.171 |\n| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| kakuro | magic |  |  |  |\n| --- | --- | --- | --- | --- |\n| #instances | cutoﬀ | #instances | cutoﬀ |  |\n| 100 | 3600s | 40 | 3600s |  |\n| #solved | avg.time | #solved | avg.time |  |\n| argosmt-sbc | 40 | 2521s | 40 | 296s |\n| argosmt-ibc | 94 | 464s | 40 | 226s |\n| argosmt-bel | 99 | 196s | 40 | 198s |\n| sugar | 100 | 91s | 40 | 57s |","| mistral | 10 | 3305s | 39 | 111s |\n| --- | --- | --- | --- | --- |\n| opturion | 55 | 2126s | 40 | 10s |",1]
["| kakuro | magic |  |  |  |\n| --- | --- | --- | --- | --- |\n| #instances | cutoﬀ | #instances | cutoﬀ |  |\n| 100 | 3600s | 40 | 3600s |  |\n| #solved | avg.time | #solved | avg.time |  |\n| argosmt-sbc | 40 | 2521s | 40 | 296s |\n| argosmt-ibc | 94 | 464s | 40 | 226s |\n| argosmt-bel | 99 | 196s | 40 | 198s |\n| sugar | 100 | 91s | 40 | 57s |","| ex193 | 1391 | 3012 | 10 | 791 | 119 | 3.17 |\n| --- | --- | --- | --- | --- | --- | --- |\n| ex195 | 216 | 382 | 10 | 114 | 84 | 0.015 |\n| ex197 | 303 | 1158 | 15 | 176 | 56 | 0.062 |\n| ex199 | 310 | 537 | 9 | 157 | 131 | 0.046 |",0]
["| Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mic | mac | mic | mac | mic | mac | mic | mac | mic |  |\n| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |","| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",1]
["| Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mic | mac | mic | mac | mic | mac | mic | mac | mic |  |\n| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |","| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mic | mac | mic | mac | mic | mac | mic | mac | mic |  |\n| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |\n| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |","| WebKB4 | 80.66 | 78.92 | 85.24 | 84.74 | 89.68 | 88.39 | 83.52 |  | 72.56 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| TripAdvisor | 90.30 | 90.10 | 85.60 | 85.60 |  |  |  |  |  |",1]
["| Dataset | ModularityG1 | ModularityG2 | SVM | N-Bayes |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| mic | mac | mic | mac | mic | mac | mic | mac | mic |  |\n| 20Newsgroups | 78.70 | 77.12 | 82.19 | 82.78 | 82.84 | 83.60 | 81.03 |  | 84.23 |\n| Reuters-21578 | 91.23 | 76.25 | 92.77 | 81.19 | 96.98 | 91.50 | 96.07 |  | 85.24 |","| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| Object | Method | MaxF1 | Runtime[s] |\n| --- | --- | --- | --- |\n| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |\n| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |","| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |\n| --- | --- | --- | --- |\n| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 |",1]
["| Object | Method | MaxF1 | Runtime[s] |\n| --- | --- | --- | --- |\n| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |\n| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |","| Method | Adapt | BBN |  |  |\n| --- | --- | --- | --- | --- |\n| Ma-F1 | Mi-F1 | Acc. |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 67.28<br>51.38<br>71.28<br>70.84<br>68.86<br>72.67<br>75.78<br>71.97<br>74.54 | 60.70<br>52.85<br>72.08<br>71.61<br>70.00<br>73.54<br>76.50<br>72.89<br>74.38 | 46.92<br>45.01<br>66.22<br>65.74<br>63.32<br>67.58<br>70.43<br>67.05<br>69.46 |\n|  |  | OntoNotes |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |\n|  |  | Wiki |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 |",0]
["| Object | Method | MaxF1 | Runtime[s] |\n| --- | --- | --- | --- |\n| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |\n| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |","| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13 |\n| --- | --- | --- | --- |\n| Chicken<br>(12324) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.14<br>0.18<br>0.59<br>0.56<br>0.80 | -<br>0.0039<br>0.35<br>0.41<br>0.11 |",1]
["| Object | Method | MaxF1 | Runtime[s] |\n| --- | --- | --- | --- |\n| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |\n| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |","| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 58.77<br>47.65<br>62.03<br>61.54<br>59.52<br>60.90<br>65.91<br>62.71<br>68.23 | 52.37<br>43.97<br>55.83<br>49.16<br>54.01<br>54.68<br>59.08<br>56.64<br>61.27 | 38.01<br>26.56<br>43.61<br>43.25<br>41.60<br>42.82<br>46.94<br>44.81<br>49.30 |\n| --- | --- | --- | --- | --- |\n|  |  | Wiki |  |  |\n| FIGER<br>HYENA<br>WSABIE<br>HLE<br>ProtoLE<br>Proto-HLE | NA<br>NA<br>NA<br>Y<br>N<br>Y<br>N<br>Y<br>N | 68.28<br>45.51<br>67.97<br>67.09<br>65.29<br>66.96<br>68.06<br>67.85<br>66.61 | 64.71<br>43.80<br>64.49<br>65.65<br>62.53<br>65.78<br>66.53<br>65.74<br>65.29 | 47.37<br>30.67<br>48.28<br>47.01<br>45.19<br>49.18<br>53.54<br>50.27<br>50.45 |",0]
["|  | Citeseernetwork | Coranetwork |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1 | Accuracy | F1 | Accuracy |\n| MF | 0.6291 | 0.7267 | 0.7970 | 0.8261 |","| LBP | 0.6264 | 0.7294 | 0.8248 | 0.8449 |\n| --- | --- | --- | --- | --- |\n| Stacked | - | 0.598 | - | 0.739 |\n| SBSN | 0.6705 | 0.7029 | 0.8420 | 0.8519 |",1]
["|  | Citeseernetwork | Coranetwork |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1 | Accuracy | F1 | Accuracy |\n| MF | 0.6291 | 0.7267 | 0.7970 | 0.8261 |","|  | Wordsnetwork |  |\n| --- | --- | --- |\n|  | F1measure | Accuracy |\n| wvRN | 0.4216 | 0.5289 |\n| MRF | 0.4411 | 0.4614 |\n| SBSN | 0.7462 | 0.7484 |",0]
["|  | Citeseernetwork | Coranetwork |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1 | Accuracy | F1 | Accuracy |\n| MF | 0.6291 | 0.7267 | 0.7970 | 0.8261 |","| LBP | 0.6264 | 0.7294 | 0.8248 | 0.8449 |\n| --- | --- | --- | --- | --- |\n| Stacked | - | 0.598 | - | 0.739 |\n| SBSN | 0.6705 | 0.7029 | 0.8420 | 0.8519 |",1]
["|  | Citeseernetwork | Coranetwork |  |  |\n| --- | --- | --- | --- | --- |\n|  | F1 | Accuracy | F1 | Accuracy |\n| MF | 0.6291 | 0.7267 | 0.7970 | 0.8261 |","| wvRN | 0.4216 | 0.5289 |\n| --- | --- | --- |\n| MRF | 0.4411 | 0.4614 |\n| SBSN | 0.7462 | 0.7484 |",0]
["| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |","| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",1]
["| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |\n| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |","| Methods | aero | bicycle | boat | bus | car | chair | table | mbike | sofa | train |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VDPM | 34.6 | 41.7 | 1.5 | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 |\n| DPM-VOC+VP | 37.4 | 43.9 | 0.3 | 48.6 | 36.9 | 6.1 | 2.1 | 31.8 | 11.8 | 11.1 |\n| RCNN+Alex | 54.0 | 50.5 | 15.1 | 57.1 | 41.8 | 15.7 | 18.6 | 50.8 | 28.4 | 46.1 |\n| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |\n| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |\n| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |\n| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |\n| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |\n| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |\n| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |\n| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |\n| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |\n| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |\n| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |\n| RCNN+Alex | 27.5 | 25.8 | 6.5 | 45.8 | 29.7 | 8.5 | 12.0 | 31.4 | 17.7 | 29.7 |\n| VpKps | 46.6 | 42.0 | 12.7 | 64.6 | 42.7 | 20.8 | 18.5 | 38.8 | 33.5 | 42.5 |\n| OursShare300 | 45.4 | 33.4 | 13.7 | 52.9 | 32.9 | 5.3 | 27.2 | 38.8 | 27.3 | 37.4 |\n| OursShare500 | 45.9 | 39.6 | 14.0 | 54.0 | 35.4 | 7.4 | 26.4 | 40.4 | 29.2 | 41.5 |\n| VDPM | 8.0 | 14.3 | 0.3 | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 |\n| DPM-VOC+VP | 9.7 | 16.7 | 2.2 | 42.1 | 24.6 | 4.2 | 2.1 | 10.5 | 4.1 | 20.7 |\n| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |\n| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |\n| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |\n| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 |",0]
["| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |","| Oursw/oExtra | 62.3 | 56.6 | 18.0 | – | 62.0 | 40.9 | 19.3 | 14.9 | 62.3 | 44.1 | 58.1 | 58.5 | 45.2 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OursFull | 61.4 | 60.4 | 21.1 | – | 63.0 | 48.7 | 23.8 | 17.4 | 60.7 | 47.8 | 55.9 | 62.3 | 47.5 |\n| JointObjectDetectionandPoseEstimation(8ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 23.4 | 36.5 | 1.0 | – | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 | 27.4 | 18.7 |\n| DPM-VOC+VP | 29.7 | 42.6 | 0.4 | – | 39.5 | 36.8 | 9.4 | 2.6 | 32.9 | 11.0 | 10.3 | 28.6 | 22.2 |\n| Oursw/oExtra | 45.9 | 25.5 | 11.1 | – | 37.7 | 34.6 | 15.2 | 7.4 | 37.1 | 33.0 | 42.5 | 24.3 | 28.6 |\n| OursFull | 48.8 | 36.3 | 16.4 | – | 39.8 | 37.2 | 19.1 | 13.2 | 37.0 | 32.1 | 44.4 | 26.9 | 31.9 |\n| JointObjectDetectionandPoseEstimation(16ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 15.4 | 18.4 | 0.5 | – | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 | 16.3 | 15.6 |\n| DPM-VOC+VP | 17.0 | 24.7 | 1.0 | – | 49.0 | 30.1 | 6.6 | 3.0 | 17.2 | 7.7 | 20.4 | 20.2 | 17.9 |\n| Oursw/oExtra | 23.3 | 19.2 | 8.4 | – | 52.6 | 27.0 | 9.9 | 5.1 | 23.6 | 20.9 | 27.4 | 27.9 | 22.3 |\n| OursFull | 28.0 | 23.7 | 10.7 | – | 50.8 | 31.4 | 14.3 | 9.4 | 23.4 | 19.5 | 30.7 | 27.8 | 24.5 |\n| JointObjectDetectionandPoseEstimation(24ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 8.0 | 14.3 | 0.3 | – | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 | 11.2 | 12.1 |\n| DPM-VOC+VP | 10.6 | 16.7 | 2.2 | – | 43.5 | 25.4 | 4.4 | 2.3 | 11.3 | 4.9 | 22.4 | 14.4 | 14.4 |\n| Oursw/oExtra | 18.9 | 10.5 | 6.7 | – | 34.3 | 23.3 | 8.3 | 6.5 | 20.6 | 17.5 | 33.8 | 17.0 | 17.9 |\n| OursFull | 20.7 | 16.4 | 7.9 | – | 34.6 | 24.6 | 9.4 | 7.6 | 19.9 | 20.0 | 32.7 | 18.2 | 19.3 |",1]
["| Methods | aeroplane | bicycle | boat | bottle | bus | car | chair | diningtable | motorbike | sofa | train | tvmonitor | Average |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ObjectDetection(AP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| DPM | 42.2 | 49.6 | 6.0 | 20.0 | 54.1 | 38.3 | 15.0 | 9.0 | 33.1 | 18.9 | 36.4 | 33.2 | 29.6 |\n| R-CNN | 72.4 | 68.7 | 34.0 | – | 73.0 | 62.3 | 33.0 | 35.2 | 70.7 | 49.6 | 70.1 | 57.2 | 56.9 |\n| Oursw/oExtra | 76.3 | 73.4 | 43.4 | 44.7 | 74.5 | 63.3 | 35.4 | 32.4 | 74.9 | 51.9 | 74.1 | 60.9 | 58.8 |\n| OursFull | 76.5 | 74.0 | 42.4 | 47.0 | 74.5 | 64.7 | 38.5 | 38.6 | 76.7 | 55.1 | 74.8 | 65.3 | 60.7 |\n| JointObjectDetectionandPoseEstimation(4ViewsAVP) |  |  |  |  |  |  |  |  |  |  |  |  |  |\n| VDPM | 34.6 | 41.7 | 1.5 | – | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 | 34.7 | 19.5 |\n| DPM-VOC+VP | 39.4 | 43.9 | 0.3 | – | 49.1 | 37.6 | 6.1 | 3.0 | 32.2 | 11.8 | 12.5 | 33.2 | 24.5 |","| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |\n| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |\n| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 |",0]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 6.136 | 6.140 | 1.000 |\n| 4 | 5.731 | 5.681 | 1.081 |","| 8 | 5.809 | 5.806 | 1.058 |\n| --- | --- | --- | --- |\n| 12 | 5.543 | 5.453 | 1.126 |\n| 16 | 5.509 | 5.418 | 1.133 |\n| 20 | 5.499 | 5.338 | 1.150 |\n| 24 | 5.624 | 5.477 | 1.121 |",1]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 6.136 | 6.140 | 1.000 |\n| 4 | 5.731 | 5.681 | 1.081 |","| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 1.486 | 1.548 | 1.000 |\n| 4 | 1.470 | 1.470 | 1.053 |\n| 6 | 1.401 | 1.374 | 1.127 |\n| 7 | 1.422 | 1.361 | 1.137 |\n| 8 | 1.386 | 1.364 | 1.135 |\n| 9 | 1.398 | 1.348 | 1.148 |\n| 10 | 1.397 | 1.352 | 1.145 |\n| 11 | 1.429 | 1.372 | 1.129 |\n| 12 | 1.402 | 1.368 | 1.131 |",0]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 6.136 | 6.140 | 1.000 |\n| 4 | 5.731 | 5.681 | 1.081 |\n| 8 | 5.809 | 5.806 | 1.058 |\n| 12 | 5.543 | 5.453 | 1.126 |\n| 16 | 5.509 | 5.418 | 1.133 |","| 20 | 5.499 | 5.338 | 1.150 |\n| --- | --- | --- | --- |\n| 24 | 5.624 | 5.477 | 1.121 |",1]
["| Oﬀset<br>∆m | Theoretical<br>time[s] | Experimental<br>time[s] | Speedup |\n| --- | --- | --- | --- |\n| 0 | 6.136 | 6.140 | 1.000 |\n| 4 | 5.731 | 5.681 | 1.081 |\n| 8 | 5.809 | 5.806 | 1.058 |\n| 12 | 5.543 | 5.453 | 1.126 |\n| 16 | 5.509 | 5.418 | 1.133 |","| 6 | 1.401 | 1.374 | 1.127 |\n| --- | --- | --- | --- |\n| 7 | 1.422 | 1.361 | 1.137 |\n| 8 | 1.386 | 1.364 | 1.135 |\n| 9 | 1.398 | 1.348 | 1.148 |\n| 10 | 1.397 | 1.352 | 1.145 |\n| 11 | 1.429 | 1.372 | 1.129 |\n| 12 | 1.402 | 1.368 | 1.131 |",0]
["| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |","| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |\n| --- | --- | --- | --- | --- | --- |\n| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",1]
["| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |","| Set<br>Label | Non-Temporal | Temporal |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ROP | Stage1 | Stage2 | Stage1 | Stage2 |  |\n| Instruction-levelEvents |  |  |  |  |  |\n| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 |\n| I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 |\n| I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.820 |\n| MicroarchitecturalEvents |  |  |  |  |  |\n| M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |\n| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |\n| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |\n| BothInstruction-levelandMicroarchitecturalEvents |  |  |  |  |  |\n| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 |\n| AM-1 | 0.678 | 0.916 | 0.781 | 0.995 | 0.823 |\n| AM-2 | 0.504 | 0.864 | 0.848 | 0.993 | 0.919 |",0]
["| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |\n| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |","| 30000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9988 |\n| --- | --- | --- | --- | --- | --- |\n| 20000 | 0.9999 | 0.9999 | 0.9999 | 0.9996 | 0.9972 |\n| 10000 | 0.9999 | 0.9999 | 0.9997 | 0.9992 | 0.9945 |",1]
["| Size | Stage1 | Stage2 | Stage3 | Stage4 | Stage5 |\n| --- | --- | --- | --- | --- | --- |\n| 50000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9996 |\n| 40000 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 0.9993 |","| I-0 | 0.301 | 0.876 | 0.767 | 0.981 | 0.806 |\n| --- | --- | --- | --- | --- | --- |\n| I-1 | 0.303 | 0.848 | 0.800 | 0.986 | 0.877 |\n| I-2 | 0.314 | 0.836 | 0.776 | 0.958 | 0.820 |\n| MicroarchitecturalEvents |  |  |  |  |  |\n| M-0 | 0.806 | 0.836 | 0.854 | 0.884 | 0.865 |\n| M-1 | 0.504 | 0.728 | 0.644 | 0.974 | 0.786 |\n| M-2 | 0.538 | 0.595 | 0.601 | 0.945 | 0.805 |\n| BothInstruction-levelandMicroarchitecturalEvents |  |  |  |  |  |\n| AM-0 | 0.720 | 0.950 | 0.919 | 0.977 | 0.917 |\n| AM-1 | 0.678 | 0.916 | 0.781 | 0.995 | 0.823 |\n| AM-2 | 0.504 | 0.864 | 0.848 | 0.993 | 0.919 |",0]
["| Size | Methods |\n| --- | --- |\n| 200 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 450 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 632 | inv-DAKR<br>bi-DAKR<br>re-ranking |","| 1025 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| --- | --- |\n| 12180 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 19732 | inv-DAKR<br>bi-DAKR<br>re-ranking |",1]
["| Size | Methods |\n| --- | --- |\n| 200 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 450 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 632 | inv-DAKR<br>bi-DAKR<br>re-ranking |","| Methods | r=1 | r=5 | r=20 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 65.51<br>66.77<br>66.57<br>67.68 | 81.72<br>82.68<br>82.88<br>82.17 | 90.10<br>91.21<br>91.46<br>90.91 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 64.95<br>65.15<br>66.36<br>67.17 | 81.01<br>82.58<br>82.63<br>81.41 | 89.90<br>90.56<br>91.67<br>90.25 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 63.33<br>63.89<br>65.15<br>65.71 | 80.51<br>80.81<br>81.67<br>80.51 | 88.74<br>89.65<br>91.01<br>89.29 |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 60.81<br>61.92<br>61.81<br>63.59 | 77.93<br>78.38<br>79.14<br>78.43 | 87.88<br>88.28<br>88.69<br>88.18 |",0]
["| Size | Methods |\n| --- | --- |\n| 200 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 450 | inv-DAKR<br>bi-DAKR<br>re-ranking |","| 632 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| --- | --- |\n| 1025 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 12180 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 19732 | inv-DAKR<br>bi-DAKR<br>re-ranking |",1]
["| Size | Methods |\n| --- | --- |\n| 200 | inv-DAKR<br>bi-DAKR<br>re-ranking |\n| 450 | inv-DAKR<br>bi-DAKR<br>re-ranking |","| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 63.33<br>63.89<br>65.15<br>65.71 | 80.51<br>80.81<br>81.67<br>80.51 | 88.74<br>89.65<br>91.01<br>89.29 |\n| --- | --- | --- | --- |\n| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking | 60.81<br>61.92<br>61.81<br>63.59 | 77.93<br>78.38<br>79.14<br>78.43 | 87.88<br>88.28<br>88.69<br>88.18 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |","| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| --- |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |\n| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |","| -classe1890(attendus=197,ramenes=81.00,corrects=7.00)<br>rappel=0.036precision=0.086f-mesure=0.050 |\n| --- |\n| -classe1900(attendus=203,ramenes=153.00,corrects=14.00)<br>rappel=0.069precision=0.092f-mesure=0.079 |\n| -classe1910(attendus=201,ramenes=85.00,corrects=11.00)<br>rappel=0.055precision=0.129f-mesure=0.077 |\n| -classe1920(attendus=200,ramenes=129.00,corrects=15.00)<br>rappel=0.075precision=0.116f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=252.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=358.00,corrects=36.00)<br>rappel=0.213precision=0.101f-mesure=0.137 |\n| -classe1840(attendus=169,ramenes=86.00,corrects=10.00)<br>rappel=0.059precision=0.116f-mesure=0.078 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=146.00,corrects=13.00)<br>rappel=0.076precision=0.089f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=103.00,corrects=10.00)<br>rappel=0.059precision=0.097f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=166.00,corrects=20.00)<br>rappel=0.118precision=0.120f-mesure=0.119 |","| -classe1930(attendus=200,ramenes=96.00,corrects=10.00)<br>rappel=0.050precision=0.104f-mesure=0.068 |\n| --- |\n| -classe1940(attendus=198,ramenes=495.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.108macroF-mesure=0.112 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |","| 1 | 1485.21,360.41 | 969.35,226.91 | 277.96,142.11 | 183.86,95.31 | 216.13,75.37 | 102.44,49.07 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 1448.22,496.99 | 2762.61,896.57 | 255.88,121.53 | 187.85,91.31 | 202.98,75.85 | 86.64,53.21 |\n| 3 | 1911.49,412.39 | 3751.34,976.13 | 277.28,103.11 | 214.91,73.48 | 227.99,69.61 | 88.72,54.46 |\n| 4 | 1594.86,422.23 | 1204.31,434.19 | 308.21,140.45 | 275.05,96.91 | 247.47,85.41 | 130.01,100.11 |\n| 5 | 1435.91,329.55 | 959.59,247.07 | 297.49,130.01 | 227.37,102.01 | 228.55,63.54 | 97.01,46.81 |\n| 6 | 1502.01,343.19 | 1031.67,313.21 | 309.82,145.88 | 214.62,82.78 | 255.26,60.56 | 106.99,45.97 |\n| 7 | 1834.57,473.37 | 1543.83,804.96 | 333.58,125.07 | 247.67,85.35 | 257.13,67.52 | 112.77,55.22 |\n| 8 | 1762.06,536.91 | 3428.56,359.18 | 318.61,245.06 | 199.61,166.53 | 223.06,115.57 | 107.59,83.36 |\n| 9 | 5191.66,853.56 | 9109.08,422.23 | 354.45,256.38 | 196.12,175.37 | 291.01,131.62 | 139.48,100.54 |\n| 10 | 3241.95,916.71 | 6067.62,355.55 | 325.93,224.51 | 237.14,141.64 | 239.46,111.36 | 113.57,79.05 |\n| 11 | 5011.67,503.11 | 8296.25,326.97 | 380.68,223.51 | 263.28,164.91 | 298.28,117.23 | 120.56,105.47 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |","| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |\n| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |\n| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |\n| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |\n| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |\n| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |\n| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |\n| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |\n| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",0]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 1485.21,360.41 | 969.35,226.91 | 277.96,142.11 | 183.86,95.31 | 216.13,75.37 | 102.44,49.07 |\n| 2 | 1448.22,496.99 | 2762.61,896.57 | 255.88,121.53 | 187.85,91.31 | 202.98,75.85 | 86.64,53.21 |\n| 3 | 1911.49,412.39 | 3751.34,976.13 | 277.28,103.11 | 214.91,73.48 | 227.99,69.61 | 88.72,54.46 |\n| 4 | 1594.86,422.23 | 1204.31,434.19 | 308.21,140.45 | 275.05,96.91 | 247.47,85.41 | 130.01,100.11 |\n| 5 | 1435.91,329.55 | 959.59,247.07 | 297.49,130.01 | 227.37,102.01 | 228.55,63.54 | 97.01,46.81 |\n| 6 | 1502.01,343.19 | 1031.67,313.21 | 309.82,145.88 | 214.62,82.78 | 255.26,60.56 | 106.99,45.97 |\n| 7 | 1834.57,473.37 | 1543.83,804.96 | 333.58,125.07 | 247.67,85.35 | 257.13,67.52 | 112.77,55.22 |","| 8 | 1762.06,536.91 | 3428.56,359.18 | 318.61,245.06 | 199.61,166.53 | 223.06,115.57 | 107.59,83.36 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | 5191.66,853.56 | 9109.08,422.23 | 354.45,256.38 | 196.12,175.37 | 291.01,131.62 | 139.48,100.54 |\n| 10 | 3241.95,916.71 | 6067.62,355.55 | 325.93,224.51 | 237.14,141.64 | 239.46,111.36 | 113.57,79.05 |\n| 11 | 5011.67,503.11 | 8296.25,326.97 | 380.68,223.51 | 263.28,164.91 | 298.28,117.23 | 120.56,105.47 |",1]
["| 2Dvs2.5Dvs3D |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Subject | 2D | 2.5D | 3D |  |  |  |\n|  | Mean | Std | Mean | Std | Mean | Std |\n| 1 | 1485.21,360.41 | 969.35,226.91 | 277.96,142.11 | 183.86,95.31 | 216.13,75.37 | 102.44,49.07 |\n| 2 | 1448.22,496.99 | 2762.61,896.57 | 255.88,121.53 | 187.85,91.31 | 202.98,75.85 | 86.64,53.21 |\n| 3 | 1911.49,412.39 | 3751.34,976.13 | 277.28,103.11 | 214.91,73.48 | 227.99,69.61 | 88.72,54.46 |\n| 4 | 1594.86,422.23 | 1204.31,434.19 | 308.21,140.45 | 275.05,96.91 | 247.47,85.41 | 130.01,100.11 |\n| 5 | 1435.91,329.55 | 959.59,247.07 | 297.49,130.01 | 227.37,102.01 | 228.55,63.54 | 97.01,46.81 |\n| 6 | 1502.01,343.19 | 1031.67,313.21 | 309.82,145.88 | 214.62,82.78 | 255.26,60.56 | 106.99,45.97 |\n| 7 | 1834.57,473.37 | 1543.83,804.96 | 333.58,125.07 | 247.67,85.35 | 257.13,67.52 | 112.77,55.22 |","| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |\n| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 |",0]
["| Method | MAEforSAT(ml) | MAEforVAT(ml) |\n| --- | --- | --- |\n| RANSAC | 12.4995 | 12.5009 |","| Zhaoetal. | 11.1617 | 11.1632 |\n| --- | --- | --- |\n| GeometricMAD | 13.6875 | 13.6890 |\n| AppearanceLoOS | 11.8463 | 11.8473 |\n| ContextDrivenFusion | 7.1258 | 7.1281 |",1]
["| Method | MAEforSAT(ml) | MAEforVAT(ml) |\n| --- | --- | --- |\n| RANSAC | 12.4995 | 12.5009 |","| Method | MAE | MSE |\n| --- | --- | --- |\n| HF | 3.51 | 18.70 |\n| SPPF | 3.47 | 17.46 |\n| LFV | 3.37 | 18.14 |\n| ourmethod | 2.41 | 9.12 |",0]
["| Method | MAEforSAT(ml) | MAEforVAT(ml) |\n| --- | --- | --- |\n| RANSAC | 12.4995 | 12.5009 |","| Zhaoetal. | 11.1617 | 11.1632 |\n| --- | --- | --- |\n| GeometricMAD | 13.6875 | 13.6890 |\n| AppearanceLoOS | 11.8463 | 11.8473 |\n| ContextDrivenFusion | 7.1258 | 7.1281 |",1]
["| Method | MAEforSAT(ml) | MAEforVAT(ml) |\n| --- | --- | --- |\n| RANSAC | 12.4995 | 12.5009 |","| SPPF | 3.47 | 17.46 |\n| --- | --- | --- |\n| LFV | 3.37 | 18.14 |\n| ourmethod | 2.41 | 9.12 |",0]
["| Methods | LFW-funneled4× | LFW-funneled8× | BioID4× |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR |\n| Bicubic | 26.79 | 0.8469 | 0.8947 | 21.92 | 0.6712 | 0.7824 | 25.18 | 0.8170 | 0.8608 | 20.68 |","| SFH | 26.59 | 0.8332 | 0.8917 | 22.12 | 0.6732 | 0.7832 | 25.41 | 0.8034 | 0.8494 | 20.31 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BCCNN | 26.60 | 0.8329 | 0.8982 | 22.62 | 0.6801 | 0.7903 | 24.77 | 0.8034 | 0.8421 | 21.40 |\n| MZQ | 25.93 | 0.8313 | 0.8865 | 22.12 | 0.6771 | 0.7802 | 24.66 | 0.8003 | 0.8573 | 21.11 |\n| SRCNN | 28.94 | 0.8686 | 0.9069 | 23.92 | 0.6927 | 0.8314 | 27.02 | 0.8517 | 0.8771 | 22.34 |\n| VDSR | 29.25 | 0.8711 | 0.9123 | 24.12 | 0.7031 | 0.8391 | 28.52 | 0.8627 | 0.8914 | 24.31 |\n| GLN | 30.34 | 0.8922 | 0.9151 | 24.51 | 0.7109 | 0.8405 | 29.13 | 0.8794 | 0.8966 | 24.76 |\n| Our | 32.93 | 0.9104 | 0.9427 | 26.17 | 0.7604 | 0.8630 | 31.56 | 0.9002 | 0.9343 | 26.56 |",1]
["| Methods | LFW-funneled4× | LFW-funneled8× | BioID4× |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR |\n| Bicubic | 26.79 | 0.8469 | 0.8947 | 21.92 | 0.6712 | 0.7824 | 25.18 | 0.8170 | 0.8608 | 20.68 |","| Method | LFW-a4× | LFW-a8× |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM |  |\n| NN | 24.16 | 0.687 | 1.23 | 33.55 | 7.99 | 20.56 | 0.441 | 0.38 | 27.22 | 4.43 |\n| Bicubic | 26.62 | 0.796 | 1.84 | 34.61 | 10.72 | 22.16 | 0.575 | 0.77 | 28.38 | 6.13 |\n| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| Methods | LFW-funneled4× | LFW-funneled8× | BioID4× |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR |","| Bicubic | 26.79 | 0.8469 | 0.8947 | 21.92 | 0.6712 | 0.7824 | 25.18 | 0.8170 | 0.8608 | 20.68 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SFH | 26.59 | 0.8332 | 0.8917 | 22.12 | 0.6732 | 0.7832 | 25.41 | 0.8034 | 0.8494 | 20.31 |\n| BCCNN | 26.60 | 0.8329 | 0.8982 | 22.62 | 0.6801 | 0.7903 | 24.77 | 0.8034 | 0.8421 | 21.40 |\n| MZQ | 25.93 | 0.8313 | 0.8865 | 22.12 | 0.6771 | 0.7802 | 24.66 | 0.8003 | 0.8573 | 21.11 |\n| SRCNN | 28.94 | 0.8686 | 0.9069 | 23.92 | 0.6927 | 0.8314 | 27.02 | 0.8517 | 0.8771 | 22.34 |\n| VDSR | 29.25 | 0.8711 | 0.9123 | 24.12 | 0.7031 | 0.8391 | 28.52 | 0.8627 | 0.8914 | 24.31 |\n| GLN | 30.34 | 0.8922 | 0.9151 | 24.51 | 0.7109 | 0.8405 | 29.13 | 0.8794 | 0.8966 | 24.76 |\n| Our | 32.93 | 0.9104 | 0.9427 | 26.17 | 0.7604 | 0.8630 | 31.56 | 0.9002 | 0.9343 | 26.56 |",1]
["| Methods | LFW-funneled4× | LFW-funneled8× | BioID4× |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR | SSIM | FSIM | PSNR |","| KK | 27.53 | 0.826 | 2.07 | 36.04 | 11.55 | 22.75 | 0.603 | 0.84 | 29.14 | 6.70 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRCNN | 27.55 | 0.827 | 2.03 | 36.12 | 11.55 | 22.74 | 0.607 | 0.83 | 29.08 | 6.66 |\n| LSF | 22.98 | 0.601 | 0.80 | 29.95 | 7.01 | 20.02 | 0.434 | 0.41 | 26.44 | 4.01 |\n| MZQ | 26.36 | 0.784 | 1.61 | 34.10 | 10.69 | 22.64 | 0.621 | 0.83 | 29.11 | 6.89 |\n| YLY | 25.52 | 0.750 | 1.54 | 33.62 | 9.51 | 20.80 | 0.500 | 0.59 | 27.30 | 4.82 |\n| BCCNN | 26.63 | 0.800 | 1.81 | 34.57 | 10.90 | 22.72 | 0.627 | 0.90 | 29.08 | 6.89 |\n| GLN | 28.82 | 0.863 | 2.35 | 37.80 | 13.01 | 24.07 | 0.688 | 1.12 | 30.75 | 8.19 |",0]
["| song | cc | cc(RG) | avgdist | avgdist(RG) |\n| --- | --- | --- | --- | --- |\n| B.B.King–Rockmebaby | 0.41 | 0.11 | 2.17 | 3.26 |\n| D.Gilmour(PinkFloyd)–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 |","| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 |\n| --- | --- | --- | --- | --- |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 |",1]
["| song | cc | cc(RG) | avgdist | avgdist(RG) |\n| --- | --- | --- | --- | --- |\n| B.B.King–Rockmebaby | 0.41 | 0.11 | 2.17 | 3.26 |\n| D.Gilmour(PinkFloyd)–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 |","| track | cc | cc(RG) | L | LRG | σ |\n| --- | --- | --- | --- | --- | --- |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 | 17.8 |\n| M.Davis–SoWhat | 0.32 | 0.05 | 2.51 | 4.22 | 10.7 |\n| J.Coltrane–GiantSteps | 0.40 | 0.07 | 4.56 | 4.42 | 5.5 |\n| N.Paganini–Capriceno.24 | 0.20 | 0.01 | 3.71 | 5.55 | 29.9 |\n| N.Rimsky-Korsakov–FlightoftheBumblebee | 0.25 | 0.03 | 2.60 | 4.37 | 14 |\n| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 | 11.6 |\n| B.B.King–WorriedLifeBlues | 0.09 | 0.05 | 3.04 | 3.58 | 2.1 |\n| PinkFloyd–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 | 1.9 |",0]
["| song | cc | cc(RG) | avgdist | avgdist(RG) |\n| --- | --- | --- | --- | --- |\n| B.B.King–Rockmebaby | 0.41 | 0.11 | 2.17 | 3.26 |","| D.Gilmour(PinkFloyd)–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 |\n| --- | --- | --- | --- | --- |\n| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 |\n| J.Hendrix–RedHouse | 0.24 | 0.02 | 3.37 | 5.00 |",1]
["| song | cc | cc(RG) | avgdist | avgdist(RG) |\n| --- | --- | --- | --- | --- |\n| B.B.King–Rockmebaby | 0.41 | 0.11 | 2.17 | 3.26 |","| N.Paganini–Capriceno.24 | 0.20 | 0.01 | 3.71 | 5.55 | 29.9 |\n| --- | --- | --- | --- | --- | --- |\n| N.Rimsky-Korsakov–FlightoftheBumblebee | 0.25 | 0.03 | 2.60 | 4.37 | 14 |\n| E.Clapton(Cream)–Crossroads(2ndsolo) | 0.40 | 0.04 | 3.68 | 4.29 | 11.6 |\n| B.B.King–WorriedLifeBlues | 0.09 | 0.05 | 3.04 | 3.58 | 2.1 |\n| PinkFloyd–Comfortablynumb(1stsolo) | 0.06 | 0.03 | 4.30 | 4.03 | 1.9 |",0]
["| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |","| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",1]
["| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |","| Solver | auc/paths | auc/sch | csg | planning | warehouses | miplib | rnd-net |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 84 | 84 | 5 | 23 | 0 | 1 | 8 |\n| QWMaxSAT | 84 | 84 | 10 | 56 | 2 | 4 | 1 |\n| Sat4j | 55 | 55 | 10 | 56 | 1 | 4 | 0 |\n| MSUnCore | 84 | 84 | 6 | 53 | 0 | 0 | 0 |\n| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |\n| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |\n| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |\n| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |",0]
["| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |","| Sat4j | 3 | 3 | 15 | 37 | 28 | 2 | 8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| MSUnCore | 14 | 14 | 89 | 100 | 25 | 0 | 0 |\n| MaxSatz2013f | 4 | 4 | 0 | 0 | 5 | 25 | 0 |\n| WMaxSatz-2009 | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| WMaxSatz+ | 4 | 3 | 0 | 41 | 5 | 12 | 0 |\n| ISAC+ | 17 | 7 | 15 | 100 | 9 | 99 | 9 |",1]
["| Solver | wcsp-dir | wcsp-log | HT | UP | PP | PWPMS | TT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMiFuMax | 6 | 6 | 85 | 100 | 11 | 46 | 0 |\n| QWMaxSAT | 14 | 13 | 20 | 0 | 29 | 17 | 8 |","| MaxSatz2013f | 81 | 81 | 1 | 41 | 6 | 4 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| WMaxSatz-2009 | 67 | 67 | 1 | 45 | 6 | 3 | 0 |\n| WMaxSatz+ | 66 | 66 | 1 | 45 | 6 | 2 | 0 |\n| ISAC+ | 84 | 84 | 4 | 53 | 18 | 3 | 55 |",0]
["| F-Measure | S1 | S3(ours) | S5(ours) |\n| --- | --- | --- | --- |\n| MSRC | 0.121 | 0.431 | 0.410 |","| PASCAL | 0.002 | 0.145 | 0.179 |\n| --- | --- | --- | --- |\n| EDUB | 0.072 | 0.285 | 0.250 |\n| Average | 0.065 | 0.287 | 0.280 |",1]
["| F-Measure | S1 | S3(ours) | S5(ours) |\n| --- | --- | --- | --- |\n| MSRC | 0.121 | 0.431 | 0.410 |","| χN | fL/C | fC/S3 | fS/S34 | fS/S45 | fODT |\n| --- | --- | --- | --- | --- | --- |\n| 20 | 0.36797 | 0.25210 | 0.22436 | 0.21461 | 0.20541 |\n| 30 | 0.34531 | 0.20048 | 0.16643 | 0.15475 | 0.14434 |\n| 40 | 0.33601 | 0.17474 | 0.13631 | 0.12379 | 0.11347 |\n| 50 | 0.33120 | 0.15988 | 0.11714 | 0.10418 | 0.09439 |\n| 60 | 0.32828 | 0.15059 | 0.10379 | 0.09086 | 0.08086 |\n| 70 | 0.32629 | 0.14452 | 0.09387 | 0.08043 | 0.07143 |\n| 80 | 0.32482 | 0.14057 | 0.08698 | 0.07143 | 0.06383 |\n| 90 | 0.32392 | 0.13737 | 0.08029 | 0.06556 | 0.05789 |\n| 100 | 0.32303 | 0.13510 | 0.07535 | 0.05983 | 0.05332 |",0]
["| F-Measure | S1 | S3(ours) | S5(ours) |\n| --- | --- | --- | --- |\n| MSRC | 0.121 | 0.431 | 0.410 |","| PASCAL | 0.002 | 0.145 | 0.179 |\n| --- | --- | --- | --- |\n| EDUB | 0.072 | 0.285 | 0.250 |\n| Average | 0.065 | 0.287 | 0.280 |",1]
["| F-Measure | S1 | S3(ours) | S5(ours) |\n| --- | --- | --- | --- |\n| MSRC | 0.121 | 0.431 | 0.410 |","| 30 | 0.34531 | 0.20048 | 0.16643 | 0.15475 | 0.14434 |\n| --- | --- | --- | --- | --- | --- |\n| 40 | 0.33601 | 0.17474 | 0.13631 | 0.12379 | 0.11347 |\n| 50 | 0.33120 | 0.15988 | 0.11714 | 0.10418 | 0.09439 |\n| 60 | 0.32828 | 0.15059 | 0.10379 | 0.09086 | 0.08086 |\n| 70 | 0.32629 | 0.14452 | 0.09387 | 0.08043 | 0.07143 |\n| 80 | 0.32482 | 0.14057 | 0.08698 | 0.07143 | 0.06383 |\n| 90 | 0.32392 | 0.13737 | 0.08029 | 0.06556 | 0.05789 |\n| 100 | 0.32303 | 0.13510 | 0.07535 | 0.05983 | 0.05332 |",0]
["| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |","| TheBlindSide | 2009-11-20 |\n| --- | --- |\n| TheBookofEli | 2010-01-15 |\n| Daybreakers | 2010-01-08 |\n| DearJohn | 2010-02-05 |\n| DidYouHearAboutTheMorgans | 2009-12-18 |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |\n| Legion | 2010-01-22 |\n| Twilight:NewMoon | 2009-11-20 |\n| PirateRadio | 2009-11-13 |\n| PrincessAndTheFrog | 2009-12-11 |\n| SherlockHolmes | 2009-12-25 |\n| SpyNextDoor | 2010-01-15 |\n| TheCrazies | 2010-02-26 |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",1]
["| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |","| MovieName | NumberofRatings |\n| --- | --- |\n| StarWars | 583 |\n| TommorrowNeverDies | 180 |\n| RobinHood:MeninTights | 56 |\n| ScreamofStone | 1 |",0]
["| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |\n| TheBlindSide | 2009-11-20 |\n| TheBookofEli | 2010-01-15 |\n| Daybreakers | 2010-01-08 |\n| DearJohn | 2010-02-05 |\n| DidYouHearAboutTheMorgans | 2009-12-18 |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |","| Legion | 2010-01-22 |\n| --- | --- |\n| Twilight:NewMoon | 2009-11-20 |\n| PirateRadio | 2009-11-13 |\n| PrincessAndTheFrog | 2009-12-11 |\n| SherlockHolmes | 2009-12-25 |\n| SpyNextDoor | 2010-01-15 |\n| TheCrazies | 2010-02-26 |\n| ToothFairy | 2010-01-22 |\n| Transylmania | 2009-12-04 |\n| WhenInRome | 2010-01-29 |\n| YouthInRevolt | 2010-01-08 |",1]
["| Movie | ReleaseDate |\n| --- | --- |\n| Armored | 2009-12-04 |\n| Avatar | 2009-12-18 |\n| TheBlindSide | 2009-11-20 |\n| TheBookofEli | 2010-01-15 |\n| Daybreakers | 2010-01-08 |\n| DearJohn | 2010-02-05 |\n| DidYouHearAboutTheMorgans | 2009-12-18 |\n| EdgeOfDarkness | 2010-01-29 |\n| ExtraordinaryMeasures | 2010-01-22 |\n| FromParisWithLove | 2010-02-05 |\n| TheImaginariumofDrParnassus | 2010-01-08 |\n| Invictus | 2009-12-11 |\n| LeapYear | 2010-01-08 |","| RobinHood:MeninTights | 56 |\n| --- | --- |\n| ScreamofStone | 1 |",0]
["| Exp | DB | NetA | Ach | NetB | α | β | LR | Momentum |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | db1 | 1 | 1 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 2 | db1 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 3 | db1 | 1 | 3 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 4 | db1 | 1 | 4 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 5 | db1 | 1 | 5 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 6 | db1 | 1 | 6 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 7 | db1 | 1 | 7 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 8 | db1 | 1 | 8 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 9 | db1 | 2 | 1 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 10 | db1 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 11 | db1 | 2 | 3 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 12 | db1 | 2 | 4 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 13 | db1 | 2 | 5 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 14 | db1 | 2 | 6 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 15 | db1 | 2 | 7 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 16 | db1 | 2 | 8 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 17 | db1 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |","| 18 | db1a | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 19 | db1a | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 20 | db1a | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 21 | db2 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 22 | db2 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 23 | db3 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 24 | db3 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 25 | db4 | NA | NA | B2 | NA | NA | 0.005 | 0.9 |\n| 26 | db4 | NA | NA | B1 | NA | NA | 0.005 | 0.9 |\n| 27 | db4 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 28 | db4 | 1 | 2 | B1 | 0.7 | 0.3 | 0.01 | 0.9 |\n| 29 | db4 | 2 | 2 | B1 | 0.7 | 0.3 | 0.005 | 0.9 |\n| 30 | db4 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |",1]
["| Exp | DB | NetA | Ach | NetB | α | β | LR | Momentum |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | db1 | 1 | 1 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 2 | db1 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 3 | db1 | 1 | 3 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 4 | db1 | 1 | 4 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 5 | db1 | 1 | 5 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 6 | db1 | 1 | 6 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 7 | db1 | 1 | 7 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 8 | db1 | 1 | 8 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 9 | db1 | 2 | 1 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 10 | db1 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 11 | db1 | 2 | 3 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 12 | db1 | 2 | 4 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 13 | db1 | 2 | 5 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 14 | db1 | 2 | 6 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 15 | db1 | 2 | 7 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 16 | db1 | 2 | 8 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 17 | db1 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |","| Instance | n | e | d | β(n) | αmin | α/nmin |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.ash608 | 125 | 390 | 0.05 | 83 | 2 | 0.016 |\n| L125.will199 | 125 | 386 | 0.05 | 83 | 1 | 0.008 |\n| L125.west0167 | 125 | 444 | 0.06 | 83 | 1 | 0.008 |\n| ash331 | 104 | 331 | 0.06 | 69 | 2 | 0.019 |\n| west0132 | 132 | 560 | 0.06 | 88 | 1 | 0.008 |\n| rw136 | 136 | 641 | 0.07 | 90 | 1 | 0.007 |\n| bcspwr03 | 118 | 576 | 0.08 | 78 | 2 | 0.017 |\n| gre115 | 115 | 576 | 0.09 | 76 | 3 | 0.026 |\n| L125.dw162 | 125 | 943 | 0.12 | 83 | 6 | 0.048 |\n| L125.can187 | 125 | 1022 | 0.13 | 83 | 12 | 0.096 |\n| L125.gre185 | 125 | 1177 | 0.15 | 83 | 6 | 0.048 |\n| L125.can161 | 125 | 1257 | 0.16 | 83 | 12 | 0.096 |\n| L125.lop163 | 125 | 1218 | 0.16 | 83 | 9 | 0.072 |\n| can144 | 144 | 1656 | 0.16 | 96 | 18 | 0.125 |\n| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |\n| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |\n| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |\n| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |\n| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |\n| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 |",0]
["| Exp | DB | NetA | Ach | NetB | α | β | LR | Momentum |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | db1 | 1 | 1 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 2 | db1 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 3 | db1 | 1 | 3 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 4 | db1 | 1 | 4 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 5 | db1 | 1 | 5 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 6 | db1 | 1 | 6 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 7 | db1 | 1 | 7 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 8 | db1 | 1 | 8 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 9 | db1 | 2 | 1 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 10 | db1 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |","| 11 | db1 | 2 | 3 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | db1 | 2 | 4 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 13 | db1 | 2 | 5 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 14 | db1 | 2 | 6 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 15 | db1 | 2 | 7 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 16 | db1 | 2 | 8 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 17 | db1 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 18 | db1a | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 19 | db1a | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 20 | db1a | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 21 | db2 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 22 | db2 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 23 | db3 | NA | NA | B1 | NA | NA | 0.01 | 0.9 |\n| 24 | db3 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 25 | db4 | NA | NA | B2 | NA | NA | 0.005 | 0.9 |\n| 26 | db4 | NA | NA | B1 | NA | NA | 0.005 | 0.9 |\n| 27 | db4 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 28 | db4 | 1 | 2 | B1 | 0.7 | 0.3 | 0.01 | 0.9 |\n| 29 | db4 | 2 | 2 | B1 | 0.7 | 0.3 | 0.005 | 0.9 |\n| 30 | db4 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |",1]
["| Exp | DB | NetA | Ach | NetB | α | β | LR | Momentum |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | db1 | 1 | 1 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 2 | db1 | 1 | 2 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 3 | db1 | 1 | 3 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 4 | db1 | 1 | 4 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 5 | db1 | 1 | 5 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 6 | db1 | 1 | 6 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 7 | db1 | 1 | 7 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 8 | db1 | 1 | 8 | B1 | 0.3 | 0.7 | 0.01 | 0.9 |\n| 9 | db1 | 2 | 1 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |\n| 10 | db1 | 2 | 2 | B1 | 0.3 | 0.7 | 0.005 | 0.9 |","| L125.dw162 | 125 | 943 | 0.12 | 83 | 6 | 0.048 |\n| --- | --- | --- | --- | --- | --- | --- |\n| L125.can187 | 125 | 1022 | 0.13 | 83 | 12 | 0.096 |\n| L125.gre185 | 125 | 1177 | 0.15 | 83 | 6 | 0.048 |\n| L125.can161 | 125 | 1257 | 0.16 | 83 | 12 | 0.096 |\n| L125.lop163 | 125 | 1218 | 0.16 | 83 | 9 | 0.072 |\n| can144 | 144 | 1656 | 0.16 | 96 | 18 | 0.125 |\n| lunda | 147 | 2837 | 0.26 | 98 | 11 | 0.075 |\n| L125.bcsstk05 | 125 | 2701 | 0.35 | 83 | 17 | 0.136 |\n| L125.dwt193 | 125 | 2982 | 0.38 | 83 | 21 | 0.168 |\n| L125.fs1831 | 125 | 3392 | 0.44 | 83 | 1 | 0.008 |\n| bcsstk04 | 132 | 5918 | 0.68 | 88 | 48 | 0.364 |\n| arc130 | 130 | 7763 | 0.93 | 86 | 21 | 0.162 |",0]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.57 | 89.43 | 78.11 | 91.32 | 93.96 | 98.87 | 99.25 | 98.11 | 98.08 |\n| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |","| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |\n| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |\n| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 |",1]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.57 | 89.43 | 78.11 | 91.32 | 93.96 | 98.87 | 99.25 | 98.11 | 98.08 |\n| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |","| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 11.16 | 49.67 | 70.23 | 68.07 | 73.86 | 69.33 | 55.63 | 57.75 | 60.18 |\n| 91.26 | 89.58 | 82.7 | 83.0 | 83.54 | 88.89 | 84.56 | 86.31 | 84.38 |\n| 90.68 | 90.0 | 83.33 | 84.11 | 59.59 | 85.71 | 87.22 | 66.41 | 77.31 |\n| 91.3 | 91.21 | 80.0 | 83.53 | 82.28 | 79.73 | 87.32 | 82.61 | 79.69 |\n| 93.06 | 91.55 | 92.86 | 84.85 | 90.16 | 85.71 | 80.0 | 86.36 | 88.1 |\n| 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |\n| 100.0 | 75.0 | 75.0 | 75.0 | 100.0 | 75.0 | 100.0 | 100.0 | 66.67 |\n| 96.3 | 96.3 | 88.46 | 92.0 | 100.0 | 94.74 | 94.74 | 100.0 | 94.74 |",0]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.57 | 89.43 | 78.11 | 91.32 | 93.96 | 98.87 | 99.25 | 98.11 | 98.08 |\n| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |\n| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |","| 91.18 | 89.63 | 85.94 | 82.11 | 81.74 | 85.19 | 85.29 | 88.66 | 90.43 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 89.74 | 82.76 | 85.22 | 86.49 | 87.88 | 94.94 | 87.5 | 88.89 | 91.43 |\n| 92.08 | 92.08 | 75.25 | 78.22 | 62.63 | 81.82 | 89.69 | 81.44 | 86.46 |",1]
["| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 90.57 | 89.43 | 78.11 | 91.32 | 93.96 | 98.87 | 99.25 | 98.11 | 98.08 |\n| 94.3 | 93.3 | 92.0 | 86.42 | 90.07 | 82.01 | 74.81 | 81.75 | 85.48 |\n| 92.59 | 90.91 | 83.72 | 91.34 | 89.83 | 92.63 | 94.44 | 84.52 | 90.36 |","| 93.06 | 91.55 | 92.86 | 84.85 | 90.16 | 85.71 | 80.0 | 86.36 | 88.1 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 | 100.0 |\n| 100.0 | 75.0 | 75.0 | 75.0 | 100.0 | 75.0 | 100.0 | 100.0 | 66.67 |\n| 96.3 | 96.3 | 88.46 | 92.0 | 100.0 | 94.74 | 94.74 | 100.0 | 94.74 |",0]
["| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.38550.62830.5517<br>0.38890.66610.5673<br>0.68640.76120.5681<br>0.68640.76120.5681<br>0.68640.76120.5681 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.14580.1964-0.0182<br>0.55240.20570.0380<br>0.42630.68270.7261<br>0.42880.68600.7310<br>0.41150.64250.6803 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.39990.80110.8089<br>0.30650.47780.3143<br>0.31910.79390.5243<br>0.32290.74810.5077<br>0.33170.60160.4964 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.58910.44090.2549<br>0.58880.39530.2311<br>0.11870.35460.1308<br>0.10420.36620.1619<br>0.33980.36150.2345<br>0.38640.23030.1368<br>0.44010.28110.1898<br>0.54460.36120.2259 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.23990.47500.2385<br>0.24000.52190.2241<br>-0.08420.14020.0052<br>0.14970.62130.3114<br>0.10940.63570.2575<br>-0.01480.09230.0074<br>0.19750.25790.0639<br>0.08460.47980.2517 |","| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.54890.51620.1486<br>0.47320.49370.1198<br>0.56920.58000.2550<br>0.56560.56540.2316<br>0.53770.62270.3322 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.37800.54580.1128<br>0.29460.53200.1132<br>0.54660.82380.7538<br>0.54660.82380.7538<br>0.54660.82380.7538 |",1]
["| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.38550.62830.5517<br>0.38890.66610.5673<br>0.68640.76120.5681<br>0.68640.76120.5681<br>0.68640.76120.5681 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.14580.1964-0.0182<br>0.55240.20570.0380<br>0.42630.68270.7261<br>0.42880.68600.7310<br>0.41150.64250.6803 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.39990.80110.8089<br>0.30650.47780.3143<br>0.31910.79390.5243<br>0.32290.74810.5077<br>0.33170.60160.4964 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.58910.44090.2549<br>0.58880.39530.2311<br>0.11870.35460.1308<br>0.10420.36620.1619<br>0.33980.36150.2345<br>0.38640.23030.1368<br>0.44010.28110.1898<br>0.54460.36120.2259 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.23990.47500.2385<br>0.24000.52190.2241<br>-0.08420.14020.0052<br>0.14970.62130.3114<br>0.10940.63570.2575<br>-0.01480.09230.0074<br>0.19750.25790.0639<br>0.08460.47980.2517 |","| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.68640.76120.5681<br>0.51710.72060.6906 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.42630.68270.7261<br>0.20220.57240.4363 |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.31910.79390.5243<br>0.12580.62290.3602 |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.56920.58000.2550<br>0.46860.20630.2675 |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.54660.82380.7538<br>0.44630.75290.6966 |",0]
["| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.38550.62830.5517<br>0.38890.66610.5673<br>0.68640.76120.5681<br>0.68640.76120.5681<br>0.68640.76120.5681 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.14580.1964-0.0182<br>0.55240.20570.0380<br>0.42630.68270.7261<br>0.42880.68600.7310<br>0.41150.64250.6803 |","| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.41770.81720.8418<br>0.42880.84850.8483<br>0.38110.85030.8137<br>0.39990.80110.8089<br>0.30650.47780.3143<br>0.31910.79390.5243<br>0.32290.74810.5077<br>0.33170.60160.4964 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.58910.44090.2549<br>0.58880.39530.2311<br>0.11870.35460.1308<br>0.10420.36620.1619<br>0.33980.36150.2345<br>0.38640.23030.1368<br>0.44010.28110.1898<br>0.54460.36120.2259 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.23990.47500.2385<br>0.24000.52190.2241<br>-0.08420.14020.0052<br>0.14970.62130.3114<br>0.10940.63570.2575<br>-0.01480.09230.0074<br>0.19750.25790.0639<br>0.08460.47980.2517 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.54890.51620.1486<br>0.47320.49370.1198<br>0.56920.58000.2550<br>0.56560.56540.2316<br>0.53770.62270.3322 |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.37800.54580.1128<br>0.29460.53200.1132<br>0.54660.82380.7538<br>0.54660.82380.7538<br>0.54660.82380.7538 |",1]
["| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.68080.67930.5399<br>0.68640.76120.5681<br>0.39160.67520.5703<br>0.38550.62830.5517<br>0.38890.66610.5673<br>0.68640.76120.5681<br>0.68640.76120.5681<br>0.68640.76120.5681 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM(Manhattan)<br>SBM(Euclidean)<br>SBM(Chebyshev)<br>WSBM(Manhattan)<br>WSBM(Euclidean)<br>WSBM(Chebyshev) | 0.43030.65480.6860<br>0.41660.65370.6575<br>0.06940.48210.1801<br>0.14580.1964-0.0182<br>0.55240.20570.0380<br>0.42630.68270.7261<br>0.42880.68600.7310<br>0.41150.64250.6803 |","| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.57530.57950.2533<br>0.57170.58070.2581<br>0.52930.49440.1180<br>0.56920.58000.2550<br>0.46860.20630.2675 |\n| --- | --- |\n| k-means<br>Hierarchicalclustering<br>SBM<br>WSBM<br>WSBM(known) | 0.54660.82380.7538<br>0.54660.82380.7538<br>0.40150.54680.1140<br>0.54660.82380.7538<br>0.44630.75290.6966 |",0]
["| a | 1000111010010011000010000011010111000101101100 |\n| --- | --- |\n| a | 1110111110010100011101001001100001000001101011 |","| a | 1111011111001010001110100100110000100000110101 |\n| --- | --- |\n| a1 | 0100101101100111101111100101000111010010011000 |\n| 0<br>a | 1111011111001010001110100100110000100000110101 |\n| a | 1000101101100111101111100101000111010010011000 |\n| a | 1100010110110011110111110010100011101001001100 |\n| a | 0100000110101110001011011001111011111001010001 |",1]
["| a | 1000111010010011000010000011010111000101101100 |\n| --- | --- |\n| a | 1110111110010100011101001001100001000001101011 |","| GLK<br>0.815 | 0000000001011111000000000101111100000000010111110000000001011111<br>0000000001011111111111110101111100000000010111111111111101011111 |\n| --- | --- |\n| Das<br>0.823 | 0000000000101111000000110101111100000000000111111100111100011111<br>0000000000101111111111000101111100000000000111111111111100011111 |\n| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |\n| ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |\n| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |\n| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 |",0]
["| a | 1000111010010011000010000011010111000101101100 |\n| --- | --- |\n| a | 1110111110010100011101001001100001000001101011 |\n| a | 1111011111001010001110100100110000100000110101 |\n| a1 | 0100101101100111101111100101000111010010011000 |","| 0<br>a | 1111011111001010001110100100110000100000110101 |\n| --- | --- |\n| a | 1000101101100111101111100101000111010010011000 |\n| a | 1100010110110011110111110010100011101001001100 |\n| a | 0100000110101110001011011001111011111001010001 |",1]
["| a | 1000111010010011000010000011010111000101101100 |\n| --- | --- |\n| a | 1110111110010100011101001001100001000001101011 |\n| a | 1111011111001010001110100100110000100000110101 |\n| a1 | 0100101101100111101111100101000111010010011000 |","| Davis<br>0.818 | 0000011100000000000001111111111100001111000000000000111111111111<br>0000111100000000000001111111111100001111001100010000111111111111 |\n| --- | --- |\n| ABK<br>0.824 | 0000010100000000010101010000010100000101000000000101010100000101<br>0101010111111111010101011111111101010101111111110101010111111111 |\n| Coe1<br>0.851 | 0000000100010100001100001101011100010001000011110011100101010111<br>0000010110110100111111110001011111110001001111011111100101010111 |\n| Coe2<br>0.860 | 0001010001010001001100000101110000000000010100001100111001011111<br>0001011100010001111111110101111100001111010100111100111101011111 |",0]
["| Episode<br>expiry | Freq.<br>Th. | Time<br>(sec) | Size<br>(No.) | Patterns<br>Discovered |\n| --- | --- | --- | --- | --- |\n| 0.001 | 0.01 | 0.28 | 3(1) | ABC:614 |\n| 0.002 | 0.01 | 0.25 | 3(1) | ABC:617 |","| 0.004 | 0.01 | 0.28 | 4(1) | ABCD:537 |\n| --- | --- | --- | --- | --- |\n| 0.006 | 0.01 | 0.32 | 4(2) | XABC:602<br>ABCD:542 |",1]
["| Episode<br>expiry | Freq.<br>Th. | Time<br>(sec) | Size<br>(No.) | Patterns<br>Discovered |\n| --- | --- | --- | --- | --- |\n| 0.001 | 0.01 | 0.28 | 3(1) | ABC:614 |\n| 0.002 | 0.01 | 0.25 | 3(1) | ABC:617 |","|  | Episode | Action |\n| --- | --- | --- |\n| 1-200 | 543.1 | 543.4 |\n| 201-2,000 | 194.0 | 195.6 |\n| 2,001-17,000 | 63.0 | 69.3 |\n| 17,001-20,000 | 46.3 | 54.6 |",0]
["| Episode<br>expiry | Freq.<br>Th. | Time<br>(sec) | Size<br>(No.) | Patterns<br>Discovered |\n| --- | --- | --- | --- | --- |\n| 0.001 | 0.01 | 0.28 | 3(1) | ABC:614 |\n| 0.002 | 0.01 | 0.25 | 3(1) | ABC:617 |","| 0.004 | 0.01 | 0.28 | 4(1) | ABCD:537 |\n| --- | --- | --- | --- | --- |\n| 0.006 | 0.01 | 0.32 | 4(2) | XABC:602<br>ABCD:542 |",1]
["| Episode<br>expiry | Freq.<br>Th. | Time<br>(sec) | Size<br>(No.) | Patterns<br>Discovered |\n| --- | --- | --- | --- | --- |\n| 0.001 | 0.01 | 0.28 | 3(1) | ABC:614 |\n| 0.002 | 0.01 | 0.25 | 3(1) | ABC:617 |","| 2,001-17,000 | 63.0 | 69.3 |\n| --- | --- | --- |\n| 17,001-20,000 | 46.3 | 54.6 |",0]
["| PASCALVOC<br>(20classes) | ClosestILSVRC-DETclass<br>(200classestotal) | Averageobjectscale | RCNNAP |\n| --- | --- | --- | --- |\n| PASCAL | ILSVRC | PASCAL | ILSVRC |\n| aeroplane | airplane | 0.28 | 0.47 |\n| bicycle | bicycle | 0.29 | 0.46 |\n| bird | bird |  |  |\n| boat | watercraft |  |  |\n| bottle | winebottle(orwaterbottle) |  |  |\n| bus | bus |  |  |\n| car | car |  |  |\n| cat | domesticcat |  |  |\n| chair | chair |  |  |\n| cow | cattle |  |  |\n| diningtable | table |  |  |","| dog | dog |\n| --- | --- |\n| horse | horse |\n| motorbike | motorcyle |\n| person | person |\n| pottedplant | ﬂowerpot |\n| sheep | sheep |\n| sofa | sofa |\n| train | train |\n| tv/monitor | tvormonitor |",1]
["| PASCALVOC<br>(20classes) | ClosestILSVRC-DETclass<br>(200classestotal) | Averageobjectscale | RCNNAP |\n| --- | --- | --- | --- |\n| PASCAL | ILSVRC | PASCAL | ILSVRC |\n| aeroplane | airplane | 0.28 | 0.47 |\n| bicycle | bicycle | 0.29 | 0.46 |\n| bird | bird |  |  |\n| boat | watercraft |  |  |\n| bottle | winebottle(orwaterbottle) |  |  |\n| bus | bus |  |  |\n| car | car |  |  |\n| cat | domesticcat |  |  |\n| chair | chair |  |  |\n| cow | cattle |  |  |\n| diningtable | table |  |  |","| PASCALVOC | COCO |\n| --- | --- |\n| aeroplane | airplane |\n| bike | bicycle |\n| bird | bird |\n| boat | boat |\n| bottle | bottle |\n| bus | bus |\n| car | car |\n| cat | cat |\n| chair | chair |\n| cow | cow |\n| diningtable | diningtable |\n| dog | dog |\n| horse | horse |\n| motorbike | motorcycle |\n| person | person |\n| pottedplant | pottedplant |\n| sheep | sheep |\n| sofa | couch |\n| train | train |\n| tv | tv |",0]
["| PASCALVOC<br>(20classes) | ClosestILSVRC-DETclass<br>(200classestotal) | Averageobjectscale | RCNNAP |\n| --- | --- | --- | --- |\n| PASCAL | ILSVRC | PASCAL | ILSVRC |\n| aeroplane | airplane | 0.28 | 0.47 |\n| bicycle | bicycle | 0.29 | 0.46 |\n| bird | bird |  |  |\n| boat | watercraft |  |  |\n| bottle | winebottle(orwaterbottle) |  |  |\n| bus | bus |  |  |\n| car | car |  |  |\n| cat | domesticcat |  |  |\n| chair | chair |  |  |\n| cow | cattle |  |  |\n| diningtable | table |  |  |\n| dog | dog |  |  |\n| horse | horse |  |  |","| motorbike | motorcyle |\n| --- | --- |\n| person | person |\n| pottedplant | ﬂowerpot |\n| sheep | sheep |\n| sofa | sofa |\n| train | train |\n| tv/monitor | tvormonitor |",1]
["| PASCALVOC<br>(20classes) | ClosestILSVRC-DETclass<br>(200classestotal) | Averageobjectscale | RCNNAP |\n| --- | --- | --- | --- |\n| PASCAL | ILSVRC | PASCAL | ILSVRC |\n| aeroplane | airplane | 0.28 | 0.47 |\n| bicycle | bicycle | 0.29 | 0.46 |\n| bird | bird |  |  |\n| boat | watercraft |  |  |\n| bottle | winebottle(orwaterbottle) |  |  |\n| bus | bus |  |  |\n| car | car |  |  |\n| cat | domesticcat |  |  |\n| chair | chair |  |  |\n| cow | cattle |  |  |\n| diningtable | table |  |  |\n| dog | dog |  |  |\n| horse | horse |  |  |","| chair | chair |\n| --- | --- |\n| cow | cow |\n| diningtable | diningtable |\n| dog | dog |\n| horse | horse |\n| motorbike | motorcycle |\n| person | person |\n| pottedplant | pottedplant |\n| sheep | sheep |\n| sofa | couch |\n| train | train |\n| tv | tv |",0]
["| VideoSequences | Biswasetal. | Proposed |\n| --- | --- | --- |\n| Sequence1 | 4.96 | 0.20 |\n| Sequence2 | 5.08 | 0.31 |\n| Sequence3 | 4.66 | 0.23 |","| Sequence4 | 4.49 | 0.33 |\n| --- | --- | --- |\n| Sequence5 | 4.32 | 0.08 |\n| Sequence6 | 5.32 | 0.31 |\n| Sequence7 | 4.95 | 0.38 |",1]
["| VideoSequences | Biswasetal. | Proposed |\n| --- | --- | --- |\n| Sequence1 | 4.96 | 0.20 |\n| Sequence2 | 5.08 | 0.31 |\n| Sequence3 | 4.66 | 0.23 |","| TestSequences | Alietal. | Biswasetal. | Proposed |\n| --- | --- | --- | --- |\n| Sequence1 | 0.63 | 0.60 | 0.90 |\n| Sequence2 | 0.28 | 0.67 | 0.66 |\n| Sequence3 | 0.57 | 0.74 | 0.75 |\n| Sequence4 | 0.67 | 0.68 | 0.68 |\n| Sequence5 | 0.78 | 0.24 | 0.46 |\n| Sequence6 | 0.41 | 0.62 | 0.81 |\n| Sequence7 | 0.60 | 0.15 | 0.53 |",0]
["| VideoSequences | Biswasetal. | Proposed |\n| --- | --- | --- |\n| Sequence1 | 4.96 | 0.20 |","| Sequence2 | 5.08 | 0.31 |\n| --- | --- | --- |\n| Sequence3 | 4.66 | 0.23 |\n| Sequence4 | 4.49 | 0.33 |\n| Sequence5 | 4.32 | 0.08 |\n| Sequence6 | 5.32 | 0.31 |\n| Sequence7 | 4.95 | 0.38 |",1]
["| VideoSequences | Biswasetal. | Proposed |\n| --- | --- | --- |\n| Sequence1 | 4.96 | 0.20 |","| Sequence3 | 0.57 | 0.74 | 0.75 |\n| --- | --- | --- | --- |\n| Sequence4 | 0.67 | 0.68 | 0.68 |\n| Sequence5 | 0.78 | 0.24 | 0.46 |\n| Sequence6 | 0.41 | 0.62 | 0.81 |\n| Sequence7 | 0.60 | 0.15 | 0.53 |",0]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7944 |  |  |  |  |  |","| FS.cont | 0.7941 | −0.0003 | 0.0846 | 83 | 3 | 0.0662 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TOM.cont | 0.8034 | 0.0089 | 0.0636 | 105 | 2 | 0.1782 |\n| HC.cont | 0.8266 | 0.0281 | 0.2244 | 109 | 34 | 0.1199 |\n| Original.binary | 0.7847 | −0.0097 | 0.0502 | 48 | 1 | 0.2222 |\n| Jaccard | 0.7291 | −0.0653 | 0.2738 | 28 | 18 | 0.4759 |\n| Pvalue | 0.6374 | −0.1570 | 0.1740 | 5 | 3 | 0.5691 |\n| FS.binary | 0.6750 | −0.1195 | 0.1740 | 5 | 1 | 0.4945 |\n| TOM.binary | 0.7365 | −0.0579 | 0.3332 | 23 | 9 | 0.3227 |\n| HC.binary | 0.7578 | −0.0367 | 0.2989 | 35 | 25 | 0.3773 |",1]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7944 |  |  |  |  |  |","| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.784 |  |  |  |  |  |\n| FS.cont | 0.7364 | -0.0476 | 0.013 | 5 | 0 | 0.1968 |\n| TOM.cont | 0.7617 | -0.0223 | 0.024 | 16 | 0 | 0.1495 |\n| HC.cont | 0.7932 | 0.0092 | 0.115 | 60 | 8 | 0.0456 |\n| Original.binary | 0.7884 | 0.0044 | 0.1648 | 60 | 2 | 0.0458 |\n| Jaccard | 0.7244 | -0.0596 | 0.0697 | 10 | 2 | 0.2298 |\n| Pvalue | 0.5765 | -0.2075 | -0.037 | 0 | 0 | 0.4829 |\n| FS.binary | 0.6396 | -0.1444 | -0.0285 | 0 | 0 | 0.3161 |\n| TOM.binary | 0.7713 | -0.0127 | 0.1076 | 27 | 1 | 0.1495 |\n| HC.binary | 0.7808 | -0.0032 | 0.1294 | 43 | 6 | 0.0827 |",0]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7944 |  |  |  |  |  |","| FS.cont | 0.7941 | −0.0003 | 0.0846 | 83 | 3 | 0.0662 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TOM.cont | 0.8034 | 0.0089 | 0.0636 | 105 | 2 | 0.1782 |\n| HC.cont | 0.8266 | 0.0281 | 0.2244 | 109 | 34 | 0.1199 |\n| Original.binary | 0.7847 | −0.0097 | 0.0502 | 48 | 1 | 0.2222 |\n| Jaccard | 0.7291 | −0.0653 | 0.2738 | 28 | 18 | 0.4759 |\n| Pvalue | 0.6374 | −0.1570 | 0.1740 | 5 | 3 | 0.5691 |\n| FS.binary | 0.6750 | −0.1195 | 0.1740 | 5 | 1 | 0.4945 |\n| TOM.binary | 0.7365 | −0.0579 | 0.3332 | 23 | 9 | 0.3227 |\n| HC.binary | 0.7578 | −0.0367 | 0.2989 | 35 | 25 | 0.3773 |",1]
["| CNSMeasure | Mean<br>AUC | MeanAUC<br>Change | MaxAUC<br>Increase | #Classes<br>Increase | #Classes<br>withAUC<br>increase>0.05 | MaxAUC<br>Decrease |\n| --- | --- | --- | --- | --- | --- | --- |\n| Original.cont | 0.7944 |  |  |  |  |  |","| FS.cont | 0.7364 | -0.0476 | 0.013 | 5 | 0 | 0.1968 |\n| --- | --- | --- | --- | --- | --- | --- |\n| TOM.cont | 0.7617 | -0.0223 | 0.024 | 16 | 0 | 0.1495 |\n| HC.cont | 0.7932 | 0.0092 | 0.115 | 60 | 8 | 0.0456 |\n| Original.binary | 0.7884 | 0.0044 | 0.1648 | 60 | 2 | 0.0458 |\n| Jaccard | 0.7244 | -0.0596 | 0.0697 | 10 | 2 | 0.2298 |\n| Pvalue | 0.5765 | -0.2075 | -0.037 | 0 | 0 | 0.4829 |\n| FS.binary | 0.6396 | -0.1444 | -0.0285 | 0 | 0 | 0.3161 |\n| TOM.binary | 0.7713 | -0.0127 | 0.1076 | 27 | 1 | 0.1495 |\n| HC.binary | 0.7808 | -0.0032 | 0.1294 | 43 | 6 | 0.0827 |",0]
["| IC-LKESM | hp | hpdct-25hpdct-49 | dct-25dct-49 | jd |  |\n| --- | --- | --- | --- | --- | --- |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.24330.1946<br>0.25190.2151<br>0.44590.4185<br>0.32490.2898<br>0.37840.2676 | 0.3164<br>0.3748<br>0.5871<br>0.4090<br>0.3073 | 0.31420.2433<br>0.37310.3748<br>0.63430.5871<br>0.43650.4090<br>0.31850.3073 | 0.14090.1677<br>0.23750.2747<br>0.33230.3411<br>0.27400.2857<br>0.21120.2263 | 0.1677<br>0.2747<br>0.3411<br>0.2857<br>0.2263 |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.22890.2178<br>0.17510.1590<br>0.17130.1612<br>0.30130.2723<br>0.25460.2524 | 0.2809<br>0.2324<br>0.2670<br>0.3575<br>0.2882 | 0.29800.2809<br>0.24680.2324<br>0.29080.2670<br>0.37800.3575<br>0.31770.2882 | 0.20660.2067<br>16040.1731<br>0.15840.1654<br>0.26120.2523<br>0.20740.2168 | 0.2067<br>0.1731<br>0.1654<br>0.2523<br>0.2168 |\n| 1,2<br>2,3<br>3,4<br>4,5 | 0.29450.2817<br>0.32790.3105<br>0.32690.3144<br>0.35000.3400 | 0.4951<br>0.5394<br>0.5716<br>0.6497 | 0.50140.4951<br>0.54990.5394<br>0.58460.5716<br>0.67230.6497 | 0.22040.2457<br>0.20400.2097<br>0.44440.4741<br>0.35420.3899 | 0.2457<br>0.2097<br>0.4741<br>0.3899 |","| 1,2<br>2,3<br>4,5<br>5,6 | 6.31631.3642<br>1.73020.7730<br>1.750.9822<br>1.110.7538 | 0.4547<br>0.3936<br>0.6739<br>0.7124 | 0.49200.4547<br>0.39830.3936<br>0.73120.6739<br>0.69520.7124 | 0.40720.4930<br>0.37010.4959<br>1.01351.0944<br>0.85120.8067 | 0.4930<br>0.4959<br>1.0944<br>0.8067 |\n| --- | --- | --- | --- | --- | --- |\n| 1,2 | 0.34770.3117 | 0.4117 | 0.43180.4318 | 0.39990.4063 | 0.4063 |",1]
["| IC-LKESM | hp | hpdct-25hpdct-49 | dct-25dct-49 | jd |  |\n| --- | --- | --- | --- | --- | --- |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.24330.1946<br>0.25190.2151<br>0.44590.4185<br>0.32490.2898<br>0.37840.2676 | 0.3164<br>0.3748<br>0.5871<br>0.4090<br>0.3073 | 0.31420.2433<br>0.37310.3748<br>0.63430.5871<br>0.43650.4090<br>0.31850.3073 | 0.14090.1677<br>0.23750.2747<br>0.33230.3411<br>0.27400.2857<br>0.21120.2263 | 0.1677<br>0.2747<br>0.3411<br>0.2857<br>0.2263 |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.22890.2178<br>0.17510.1590<br>0.17130.1612<br>0.30130.2723<br>0.25460.2524 | 0.2809<br>0.2324<br>0.2670<br>0.3575<br>0.2882 | 0.29800.2809<br>0.24680.2324<br>0.29080.2670<br>0.37800.3575<br>0.31770.2882 | 0.20660.2067<br>16040.1731<br>0.15840.1654<br>0.26120.2523<br>0.20740.2168 | 0.2067<br>0.1731<br>0.1654<br>0.2523<br>0.2168 |\n| 1,2<br>2,3<br>3,4<br>4,5 | 0.29450.2817<br>0.32790.3105<br>0.32690.3144<br>0.35000.3400 | 0.4951<br>0.5394<br>0.5716<br>0.6497 | 0.50140.4951<br>0.54990.5394<br>0.58460.5716<br>0.67230.6497 | 0.22040.2457<br>0.20400.2097<br>0.44440.4741<br>0.35420.3899 | 0.2457<br>0.2097<br>0.4741<br>0.3899 |","| H1 | H2open | SNE | SAD | SMD | SDV | SCC | SPL | SAPD | SED | SCL |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 199 | 125302 | 1049866 | 6.62 | 343 | 100.15 | 0.306 | 2.245 | 7.69 | 9 | 7.46 |\n| 59.7<br>40.7<br>32.1<br>29.5<br>27.0 | 3257.2<br>744.0<br>325.7<br>199.2<br>140.7 | 1049774<br>1049813<br>1050066<br>1049869<br>1049849 | 6.62<br>6.62<br>6.62<br>6.62<br>6.62 | 342.3<br>343.5<br>343.4<br>345.9<br>345.4 | 100.73<br>101.26<br>101.73<br>102.07<br>102.29 | 0.279<br>0.255<br>0.235<br>0.219<br>0.205 | 2.213<br>2.189<br>2.173<br>2.163<br>2.155 | 7.66<br>7.56<br>7.46<br>7.45<br>7.34 | 9.3<br>9.1<br>9.0<br>9.0<br>9.0 | 7.43<br>7.33<br>7.25<br>7.24<br>7.15 |\n| 153 | 113338 | 925872 | 5.53 | 549 | 33.20 | 0.205 | 2.336 | 12.75 | 16 | 12.10 |\n| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",0]
["| IC-LKESM | hp | hpdct-25hpdct-49 | dct-25dct-49 | jd |  |\n| --- | --- | --- | --- | --- | --- |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.24330.1946<br>0.25190.2151<br>0.44590.4185<br>0.32490.2898<br>0.37840.2676 | 0.3164<br>0.3748<br>0.5871<br>0.4090<br>0.3073 | 0.31420.2433<br>0.37310.3748<br>0.63430.5871<br>0.43650.4090<br>0.31850.3073 | 0.14090.1677<br>0.23750.2747<br>0.33230.3411<br>0.27400.2857<br>0.21120.2263 | 0.1677<br>0.2747<br>0.3411<br>0.2857<br>0.2263 |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.22890.2178<br>0.17510.1590<br>0.17130.1612<br>0.30130.2723<br>0.25460.2524 | 0.2809<br>0.2324<br>0.2670<br>0.3575<br>0.2882 | 0.29800.2809<br>0.24680.2324<br>0.29080.2670<br>0.37800.3575<br>0.31770.2882 | 0.20660.2067<br>16040.1731<br>0.15840.1654<br>0.26120.2523<br>0.20740.2168 | 0.2067<br>0.1731<br>0.1654<br>0.2523<br>0.2168 |\n| 1,2<br>2,3<br>3,4<br>4,5 | 0.29450.2817<br>0.32790.3105<br>0.32690.3144<br>0.35000.3400 | 0.4951<br>0.5394<br>0.5716<br>0.6497 | 0.50140.4951<br>0.54990.5394<br>0.58460.5716<br>0.67230.6497 | 0.22040.2457<br>0.20400.2097<br>0.44440.4741<br>0.35420.3899 | 0.2457<br>0.2097<br>0.4741<br>0.3899 |","| 1,2<br>2,3<br>4,5<br>5,6 | 6.31631.3642<br>1.73020.7730<br>1.750.9822<br>1.110.7538 | 0.4547<br>0.3936<br>0.6739<br>0.7124 | 0.49200.4547<br>0.39830.3936<br>0.73120.6739<br>0.69520.7124 | 0.40720.4930<br>0.37010.4959<br>1.01351.0944<br>0.85120.8067 | 0.4930<br>0.4959<br>1.0944<br>0.8067 |\n| --- | --- | --- | --- | --- | --- |\n| 1,2 | 0.34770.3117 | 0.4117 | 0.43180.4318 | 0.39990.4063 | 0.4063 |",1]
["| IC-LKESM | hp | hpdct-25hpdct-49 | dct-25dct-49 | jd |  |\n| --- | --- | --- | --- | --- | --- |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.24330.1946<br>0.25190.2151<br>0.44590.4185<br>0.32490.2898<br>0.37840.2676 | 0.3164<br>0.3748<br>0.5871<br>0.4090<br>0.3073 | 0.31420.2433<br>0.37310.3748<br>0.63430.5871<br>0.43650.4090<br>0.31850.3073 | 0.14090.1677<br>0.23750.2747<br>0.33230.3411<br>0.27400.2857<br>0.21120.2263 | 0.1677<br>0.2747<br>0.3411<br>0.2857<br>0.2263 |\n| 1,2<br>2,3<br>3,4<br>4,5<br>5,6 | 0.22890.2178<br>0.17510.1590<br>0.17130.1612<br>0.30130.2723<br>0.25460.2524 | 0.2809<br>0.2324<br>0.2670<br>0.3575<br>0.2882 | 0.29800.2809<br>0.24680.2324<br>0.29080.2670<br>0.37800.3575<br>0.31770.2882 | 0.20660.2067<br>16040.1731<br>0.15840.1654<br>0.26120.2523<br>0.20740.2168 | 0.2067<br>0.1731<br>0.1654<br>0.2523<br>0.2168 |\n| 1,2<br>2,3<br>3,4<br>4,5 | 0.29450.2817<br>0.32790.3105<br>0.32690.3144<br>0.35000.3400 | 0.4951<br>0.5394<br>0.5716<br>0.6497 | 0.50140.4951<br>0.54990.5394<br>0.58460.5716<br>0.67230.6497 | 0.22040.2457<br>0.20400.2097<br>0.44440.4741<br>0.35420.3899 | 0.2457<br>0.2097<br>0.4741<br>0.3899 |","| 30.2<br>22.8<br>17.8<br>17.2<br>15.2 | 2209.1<br>452.4<br>188.4<br>118.8<br>82.4 | 925831<br>925928<br>925802<br>925660<br>925950 | 5.53<br>5.53<br>5.53<br>5.53<br>5.53 | 551.5<br>550.2<br>543.9<br>550.0<br>551.8 | 33.83<br>34.40<br>34.79<br>35.11<br>35.43 | 0.197<br>0.182<br>0.167<br>0.154<br>0.142 | 2.321<br>2.306<br>2.296<br>2.289<br>2.282 | 12.38<br>11.88<br>11.60<br>11.33<br>11.13 | 16.1<br>15.3<br>15.0<br>14.4<br>14.1 | 11.72<br>11.28<br>11.04<br>10.81<br>10.62 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 978 | 321724 | 2987624 | 5.27 | 28754 | 2576.0 | 0.0062 | 2.429 | 6.07 | 8 | 6.79 |\n| 114.4<br>84.2<br>71.4<br>65.3<br>62.8 | 4428.8<br>1419.2<br>814.4<br>595.5<br>513.7 | 2987898<br>2987342<br>2987706<br>2987468<br>2987771 | 5.27<br>5.26<br>5.27<br>5.26<br>5.27 | 28759<br>28754<br>28745<br>28749<br>28761 | 2576<br>2576<br>2577<br>2577<br>2578 | 0.0065<br>0.0064<br>0.0062<br>0.0060<br>0.0058 | 2.373<br>2.319<br>2.287<br>2.265<br>2.251 | 6.19<br>6.02<br>5.97<br>5.96<br>5.89 | 7.8<br>7.2<br>7.1<br>7.1<br>7.1 | 5.97<br>5.82<br>5.78<br>5.77<br>5.71 |",0]
["| n=50 | n=100 | n=200 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | avg. | max. | avg. | max. | avg. | max. | max.states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 2 |\n| 2 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 5 |\n| 3 | 0 | 0.01 | 0 | 0.01 | 0.01 | 0.01 | 15 |","| 4 | 0 | 0.01 | 0.01 | 0.01 | 0.02 | 0.03 | 51 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 5 | 0.01 | 0.02 | 0.04 | 0.06 | 0.09 | 0.12 | 188 |\n| 6 | 0.03 | 0.05 | 0.15 | 0.21 | 0.36 | 0.5 | 731 |\n| 7 | 0.11 | 0.19 | 0.58 | 0.98 | 1.55 | 2.35 | 2950 |\n| 8 | 0.36 | 0.57 | 2.3 | 3.9 | 7.16 | 8.03 | 12235 |\n| 9 | 1.2 | 2.4 | 10.74 | 13.8 | 33.97 | 55.2 | 51822 |\n| 10 | 4,46 | 14.05 | 49.63 | 87.13 | - | - | 222616 |\n| 11 | 16,92 | 52.41 | - | - | - | - | 771128 |",1]
["| n=50 | n=100 | n=200 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | avg. | max. | avg. | max. | avg. | max. | max.states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 2 |\n| 2 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 5 |\n| 3 | 0 | 0.01 | 0 | 0.01 | 0.01 | 0.01 | 15 |","| n=50 | n=100 | n=200 |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | nopre-proc. | pre-proc. | max. |  |  |  |  |  |  |  |\n| h | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | avg. | max. | states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.02 | 0 | 0.01 | 0 | 0.02 | 0 | 0.02 | 2 |\n| 2 | 0 | 0.01 | 0 | 0 | 0 | 0.04 | 0 | 0.02 | 0 | 0.05 | 0 | 0.03 | 6 |\n| 3 | 0 | 0.01 | 0 | 0 | 0.01 | 0.01 | 0 | 0.02 | 0.01 | 0.02 | 0.01 | 0.06 | 24 |\n| 4 | 0.02 | 0.04 | 0.01 | 0.01 | 0.04 | 0.06 | 0.02 | 0.03 | 0.08 | 0.11 | 0.04 | 0.06 | 112 |\n| 5 | 0.12 | 0.18 | 0.05 | 0.08 | 0.27 | 0.33 | 0.12 | 0.18 | 0.51 | 0.65 | 0.27 | 0.4 | 568 |\n| 6 | 0.76 | 1.09 | 0.26 | 0.42 | 1.72 | 2.52 | 0.78 | 1.23 | 3.56 | 4.84 | 1.78 | 2.73 | 3032 |\n| 7 | 4.67 | 8.13 | 1.32 | 3.38 | 12.18 | 16.27 | 4.93 | 7.17 | 25.71 | 27.89 | 13.45 | 15.06 | 16768 |\n| 8 | 42.18 | 72.01 | 7.66 | 19.74 | 114.11 | 136.28 | 50.78 | 69.6 | 242.49 | 269.56 | 116.55 | 131.73 | 95200 |",0]
["| n=50 | n=100 | n=200 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | avg. | max. | avg. | max. | avg. | max. | max.states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 2 |\n| 2 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 5 |\n| 3 | 0 | 0.01 | 0 | 0.01 | 0.01 | 0.01 | 15 |\n| 4 | 0 | 0.01 | 0.01 | 0.01 | 0.02 | 0.03 | 51 |","| 5 | 0.01 | 0.02 | 0.04 | 0.06 | 0.09 | 0.12 | 188 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 6 | 0.03 | 0.05 | 0.15 | 0.21 | 0.36 | 0.5 | 731 |\n| 7 | 0.11 | 0.19 | 0.58 | 0.98 | 1.55 | 2.35 | 2950 |\n| 8 | 0.36 | 0.57 | 2.3 | 3.9 | 7.16 | 8.03 | 12235 |\n| 9 | 1.2 | 2.4 | 10.74 | 13.8 | 33.97 | 55.2 | 51822 |\n| 10 | 4,46 | 14.05 | 49.63 | 87.13 | - | - | 222616 |\n| 11 | 16,92 | 52.41 | - | - | - | - | 771128 |",1]
["| n=50 | n=100 | n=200 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h | avg. | max. | avg. | max. | avg. | max. | max.states |\n| 1 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 2 |\n| 2 | 0 | 0.01 | 0 | 0.01 | 0 | 0.01 | 5 |\n| 3 | 0 | 0.01 | 0 | 0.01 | 0.01 | 0.01 | 15 |\n| 4 | 0 | 0.01 | 0.01 | 0.01 | 0.02 | 0.03 | 51 |","| 7 | 4.67 | 8.13 | 1.32 | 3.38 | 12.18 | 16.27 | 4.93 | 7.17 | 25.71 | 27.89 | 13.45 | 15.06 | 16768 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 42.18 | 72.01 | 7.66 | 19.74 | 114.11 | 136.28 | 50.78 | 69.6 | 242.49 | 269.56 | 116.55 | 131.73 | 95200 |",0]
["| Algorithm | NMSE(dB) | ComputationTime(sec) |\n| --- | --- | --- |\n| HMT+IRWL1 | -14.37 | 363 |\n| CoSaMP | -16.90 | 25 |\n| ModelCS | -17.45 | 117 |","| BG-AMP | -17.84 | 68 |\n| --- | --- | --- |\n| SPGL1 | -18.06 | 536 |\n| VB | -19.04 | 107 |\n| MCMC | -20.10 | 742 |\n| Turbo-BG | -20.49 | 51 |\n| Turbo-GM | -20.74 | 51 |",1]
["| Algorithm | NMSE(dB) | ComputationTime(sec) |\n| --- | --- | --- |\n| HMT+IRWL1 | -14.37 | 363 |\n| CoSaMP | -16.90 | 25 |\n| ModelCS | -17.45 | 117 |","|  | Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |  |\n| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |\n| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |  |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |  |",0]
["| Algorithm | NMSE(dB) | ComputationTime(sec) |\n| --- | --- | --- |\n| HMT+IRWL1 | -14.37 | 363 |\n| CoSaMP | -16.90 | 25 |\n| ModelCS | -17.45 | 117 |\n| BG-AMP | -17.84 | 68 |\n| SPGL1 | -18.06 | 536 |","| VB | -19.04 | 107 |\n| --- | --- | --- |\n| MCMC | -20.10 | 742 |\n| Turbo-BG | -20.49 | 51 |\n| Turbo-GM | -20.74 | 51 |",1]
["| Algorithm | NMSE(dB) | ComputationTime(sec) |\n| --- | --- | --- |\n| HMT+IRWL1 | -14.37 | 363 |\n| CoSaMP | -16.90 | 25 |\n| ModelCS | -17.45 | 117 |\n| BG-AMP | -17.84 | 68 |\n| SPGL1 | -18.06 | 536 |","| VQUEMODES | SBIQE | 0.9000 | 0.8913 | 4.5900 | 0.8532 | 0.8234 | 7.1376 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| BRISQUE | 0.9125 | 0.9013 | 4.3980 | 0.8792 | 0.8489 | 6.8563 |  |\n| NIQE | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |  |",0]
["| Algorithms | Normal | Probe | DoS | U2R | R2L |\n| --- | --- | --- | --- | --- | --- |\n| DecisionTree | 95.63 | 95.47 | 99.02 | 6.25 | 8.27 |\n| Adaboost | 96.17 | 96.62 | 99.85 | 20.34 | 19.68 |\n| RF | 96.28 | 95.85 | 100 | 12.19 | 14.51 |\n| SVM | 97.72 | 97.55 | 99.78 | 12.49 | 12.72 |","| GBDT | 98.54 | 98.79 | 100 | 27.65 | 21.45 |\n| --- | --- | --- | --- | --- | --- |\n| Proposedalgorithm | 99.02 | 99.63 | 100 | 57.46 | 23.84 |",1]
["| Algorithms | Normal | Probe | DoS | U2R | R2L |\n| --- | --- | --- | --- | --- | --- |\n| DecisionTree | 95.63 | 95.47 | 99.02 | 6.25 | 8.27 |\n| Adaboost | 96.17 | 96.62 | 99.85 | 20.34 | 19.68 |\n| RF | 96.28 | 95.85 | 100 | 12.19 | 14.51 |\n| SVM | 97.72 | 97.55 | 99.78 | 12.49 | 12.72 |","|  | NSL-KDD | UNSW-NB15 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ACC | PPV | TPR | ACC | PPV | TPR |  |\n| DecisionTree | 87.91 | 63.62 | 68.50 | 93.78 | 76.42 | 68.92 |\n| K-means | 82.78 | 84.96 | 56.95 | 87.05 | 74.01 | 35.23 |\n| KNeighboursClassiﬁer | 88.56 | 77.19 | 71.39 | 94.31 | 77.42 | 71.52 |\n| LogisticRegression | 89.52 | 62.04 | 73.79 | 92.52 | 71.05 | 62.61 |\n| MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 |\n| GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 |\n| MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 |\n| BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 |\n| RandomForestClassiﬁer | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 |\n| SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 |\n| OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |",0]
["| Algorithms | Normal | Probe | DoS | U2R | R2L |\n| --- | --- | --- | --- | --- | --- |\n| DecisionTree | 95.63 | 95.47 | 99.02 | 6.25 | 8.27 |\n| Adaboost | 96.17 | 96.62 | 99.85 | 20.34 | 19.68 |","| RF | 96.28 | 95.85 | 100 | 12.19 | 14.51 |\n| --- | --- | --- | --- | --- | --- |\n| SVM | 97.72 | 97.55 | 99.78 | 12.49 | 12.72 |\n| GBDT | 98.54 | 98.79 | 100 | 27.65 | 21.45 |\n| Proposedalgorithm | 99.02 | 99.63 | 100 | 57.46 | 23.84 |",1]
["| Algorithms | Normal | Probe | DoS | U2R | R2L |\n| --- | --- | --- | --- | --- | --- |\n| DecisionTree | 95.63 | 95.47 | 99.02 | 6.25 | 8.27 |\n| Adaboost | 96.17 | 96.62 | 99.85 | 20.34 | 19.68 |","| MultilayerPerceptron(MLP) | 87.91 | 63.62 | 68.5 | 90.16 | 76.72 | 75.39 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GaussianNaiveBayes | 88.33 | 73.98 | 41.67 | 88.34 | 73.98 | 41.67 |\n| MultinomialNaiveBayes | 83.96 | 65.52 | 59.90 | 90.97 | 55.40 | 54.86 |\n| BernoulliNaiveBayes | 74.60 | 87.47 | 36.49 | 91.31 | 55.07 | 56.52 |\n| RandomForestClassiﬁer | 88.39 | 71.21 | 70.99 | 94.44 | 80.29 | 72.21 |\n| SupportVectorMachine(SVM) | 88.32 | 64.70 | 70.80 | 93.38 | 76.91 | 66.90 |\n| OurProposedDeepLearningApproach | 90.99 | 81.95 | 77.48 | 95.84 | 83.40 | 79.19 |",0]
["| primari | ssu | thebes |\n| --- | --- | --- |\n| confucius | morality | romana |\n| goodness | timpul | tarii |","| cynical | tub | crates |\n| --- | --- | --- |\n| phila | transaction | corporeal |",1]
["| primari | ssu | thebes |\n| --- | --- | --- |\n| confucius | morality | romana |\n| goodness | timpul | tarii |","| Cluster |\n| --- |\n| Location |\n| Composition |\n| Catholicism |\n| Others |\n| Abstract |\n| Speciﬁc |\n| Scientist |\n| Businessman |\n| Writer |",0]
["| primari | ssu | thebes |\n| --- | --- | --- |\n| confucius | morality | romana |\n| goodness | timpul | tarii |","| cynical | tub | crates |\n| --- | --- | --- |\n| phila | transaction | corporeal |",1]
["| primari | ssu | thebes |\n| --- | --- | --- |\n| confucius | morality | romana |\n| goodness | timpul | tarii |","| Others |\n| --- |\n| Abstract |\n| Speciﬁc |\n| Scientist |\n| Businessman |\n| Writer |",0]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 1.53e+001<br>1.61e+001<br>3.02e+001<br>1.97e+001 | 266<br>10<br>16<br>- | 1.00e+000<br>3.05e+001<br>4.09e+001<br>- | 7.3218e+002<br>7.3219e+002<br>7.3233e+002<br>7.3236e+002 |\n| ogl-dct-1000-10000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 3.30e+001<br>3.16e+001<br>7.27e+001<br>3.67e+001 | 330<br>10<br>24<br>- | 1.00e+000<br>3.10e+001<br>3.25e+001<br>- | 1.2707e+003<br>1.2708e+003<br>1.2708e+003<br>1.2709e+003 |\n| ogl-dct-1000-15000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 4.83e+001<br>5.40e+001<br>8.64e+001<br>9.91e+001 | 328<br>15<br>23<br>- | 1.00e+000<br>2.52e+001<br>2.66e+001<br>- | 2.2444e+003<br>2.2444e+003<br>2.2449e+003<br>2.2467e+003 |","| ogl-dct-1000-20000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 8.09e+001<br>8.09e+001<br>1.48e+002<br>2.55e+002 | 463<br>16<br>26<br>- | 1.00e+000<br>2.88e+001<br>2.93e+001<br>- | 2.6340e+003<br>2.6340e+003<br>2.6342e+003<br>2.6357e+003 |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-25000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 7.48e+001<br>1.15e+002<br>2.09e+002<br>1.38e+002 | 309<br>30<br>38<br>- | 1.00e+000<br>1.83e+001<br>2.30e+001<br>- | 3.5566e+003<br>3.5566e+003<br>3.5568e+003<br>3.5571e+003 |\n| ogl-dct-1000-30000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 9.99e+001<br>1.55e+002<br>2.60e+002<br>1.07e+002 | 359<br>29<br>39<br>- | 1.00e+000<br>2.17e+001<br>2.25e+001<br>- | 3.7057e+003<br>3.7057e+003<br>3.7060e+003<br>3.7063e+003 |",1]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 1.53e+001<br>1.61e+001<br>3.02e+001<br>1.97e+001 | 266<br>10<br>16<br>- | 1.00e+000<br>3.05e+001<br>4.09e+001<br>- | 7.3218e+002<br>7.3219e+002<br>7.3233e+002<br>7.3236e+002 |\n| ogl-dct-1000-10000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 3.30e+001<br>3.16e+001<br>7.27e+001<br>3.67e+001 | 330<br>10<br>24<br>- | 1.00e+000<br>3.10e+001<br>3.25e+001<br>- | 1.2707e+003<br>1.2708e+003<br>1.2708e+003<br>1.2709e+003 |\n| ogl-dct-1000-15000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 4.83e+001<br>5.40e+001<br>8.64e+001<br>9.91e+001 | 328<br>15<br>23<br>- | 1.00e+000<br>2.52e+001<br>2.66e+001<br>- | 2.2444e+003<br>2.2444e+003<br>2.2449e+003<br>2.2467e+003 |","| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | FISTA-p<br>FISTA<br>ADAL | 1.83e+001<br>2.49e+001<br>1.35e+001 | 12<br>24<br>181 | 2.34e+001<br>2.51e+001<br>1.00e+000 | 8.4892e+002<br>8.4893e+002<br>8.4892e+002 |\n| ogl-dct-1000-10000-1 | FISTA-p<br>FISTA<br>ADAL | 3.16e+001<br>6.33e+001<br>4.43e+001 | 14<br>44<br>270 | 1.73e+001<br>1.74e+001<br>1.00e+000 | 1.4887e+003<br>1.4887e+003<br>1.4887e+003 |\n| ogl-dct-1000-15000-1 | FISTA-p<br>FISTA<br>ADAL | 4.29e+001<br>9.73e+001<br>5.37e+001 | 14<br>54<br>216 | 1.51e+001<br>1.32e+001<br>1.00e+000 | 2.7506e+003<br>2.7506e+003<br>2.7506e+003 |\n| ogl-dct-1000-20000-1 | FISTA-p<br>FISTA<br>ADAL | 7.53e+001<br>1.81e+002<br>1.57e+002 | 13<br>64<br>390 | 2.06e+001<br>1.61e+001<br>1.00e+000 | 3.3416e+003<br>3.3415e+003<br>3.3415e+003 |\n| ogl-dct-1000-25000-1 | FISTA-p<br>FISTA<br>ADAL | 7.41e+001<br>1.76e+002<br>8.79e+001 | 15<br>89<br>231 | 1.47e+001<br>8.64e+000<br>1.00e+000 | 4.1987e+003<br>4.1987e+003<br>4.1987e+003 |\n| ogl-dct-1000-30000-1 | FISTA-p<br>FISTA<br>ADAL | 8.95e+001<br>2.24e+002<br>1.12e+002 | 14<br>94<br>249 | 1.58e+001<br>8.54e+000<br>1.00e+000 | 4.6111e+003<br>4.6111e+003<br>4.6111e+003 |",0]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 1.53e+001<br>1.61e+001<br>3.02e+001<br>1.97e+001 | 266<br>10<br>16<br>- | 1.00e+000<br>3.05e+001<br>4.09e+001<br>- | 7.3218e+002<br>7.3219e+002<br>7.3233e+002<br>7.3236e+002 |","| ogl-dct-1000-10000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 3.30e+001<br>3.16e+001<br>7.27e+001<br>3.67e+001 | 330<br>10<br>24<br>- | 1.00e+000<br>3.10e+001<br>3.25e+001<br>- | 1.2707e+003<br>1.2708e+003<br>1.2708e+003<br>1.2709e+003 |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-15000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 4.83e+001<br>5.40e+001<br>8.64e+001<br>9.91e+001 | 328<br>15<br>23<br>- | 1.00e+000<br>2.52e+001<br>2.66e+001<br>- | 2.2444e+003<br>2.2444e+003<br>2.2449e+003<br>2.2467e+003 |\n| ogl-dct-1000-20000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 8.09e+001<br>8.09e+001<br>1.48e+002<br>2.55e+002 | 463<br>16<br>26<br>- | 1.00e+000<br>2.88e+001<br>2.93e+001<br>- | 2.6340e+003<br>2.6340e+003<br>2.6342e+003<br>2.6357e+003 |\n| ogl-dct-1000-25000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 7.48e+001<br>1.15e+002<br>2.09e+002<br>1.38e+002 | 309<br>30<br>38<br>- | 1.00e+000<br>1.83e+001<br>2.30e+001<br>- | 3.5566e+003<br>3.5566e+003<br>3.5568e+003<br>3.5571e+003 |\n| ogl-dct-1000-30000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 9.99e+001<br>1.55e+002<br>2.60e+002<br>1.07e+002 | 359<br>29<br>39<br>- | 1.00e+000<br>2.17e+001<br>2.25e+001<br>- | 3.7057e+003<br>3.7057e+003<br>3.7060e+003<br>3.7063e+003 |",1]
["| DataSets | Algs | CPU(s) | Iters | AvgSub-iters | F(x) |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-5000-1 | ADAL<br>FISTA-p<br>FISTA<br>ProxFlow | 1.53e+001<br>1.61e+001<br>3.02e+001<br>1.97e+001 | 266<br>10<br>16<br>- | 1.00e+000<br>3.05e+001<br>4.09e+001<br>- | 7.3218e+002<br>7.3219e+002<br>7.3233e+002<br>7.3236e+002 |","| ogl-dct-1000-10000-1 | FISTA-p<br>FISTA<br>ADAL | 3.16e+001<br>6.33e+001<br>4.43e+001 | 14<br>44<br>270 | 1.73e+001<br>1.74e+001<br>1.00e+000 | 1.4887e+003<br>1.4887e+003<br>1.4887e+003 |\n| --- | --- | --- | --- | --- | --- |\n| ogl-dct-1000-15000-1 | FISTA-p<br>FISTA<br>ADAL | 4.29e+001<br>9.73e+001<br>5.37e+001 | 14<br>54<br>216 | 1.51e+001<br>1.32e+001<br>1.00e+000 | 2.7506e+003<br>2.7506e+003<br>2.7506e+003 |\n| ogl-dct-1000-20000-1 | FISTA-p<br>FISTA<br>ADAL | 7.53e+001<br>1.81e+002<br>1.57e+002 | 13<br>64<br>390 | 2.06e+001<br>1.61e+001<br>1.00e+000 | 3.3416e+003<br>3.3415e+003<br>3.3415e+003 |\n| ogl-dct-1000-25000-1 | FISTA-p<br>FISTA<br>ADAL | 7.41e+001<br>1.76e+002<br>8.79e+001 | 15<br>89<br>231 | 1.47e+001<br>8.64e+000<br>1.00e+000 | 4.1987e+003<br>4.1987e+003<br>4.1987e+003 |\n| ogl-dct-1000-30000-1 | FISTA-p<br>FISTA<br>ADAL | 8.95e+001<br>2.24e+002<br>1.12e+002 | 14<br>94<br>249 | 1.58e+001<br>8.54e+000<br>1.00e+000 | 4.6111e+003<br>4.6111e+003<br>4.6111e+003 |",0]
["| PartA |\n| --- |\n| MAEMSE |","| 181.8277.7 |\n| --- |\n| 110.2173.2 |\n| 90.4135.0 |\n| 73.6106.4 |\n| 88.5147.6 |",1]
["| PartA |\n| --- |\n| MAEMSE |","| PartA |  |  |\n| --- | --- | --- |\n| MAE | MSE | MAE |\n| 83.1 | 120.4 | 20.1 |\n| 82.1 | 111.3 | 18.8 |\n| 73.2 | 113.1 | 11.2 |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",0]
["| PartA |\n| --- |\n| MAEMSE |\n| 181.8277.7 |","| 110.2173.2 |\n| --- |\n| 90.4135.0 |\n| 73.6106.4 |\n| 88.5147.6 |",1]
["| PartA |\n| --- |\n| MAEMSE |\n| 181.8277.7 |","| 73.2 | 113.1 | 11.2 |\n| --- | --- | --- |\n| 69.3 | 96.4 | 11.1 |\n| 74.12 | 110.33 | 14.27 |",0]
["| Benchmark | #Trees | #Failures |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | 1 | 10 | 100 | 1000 |\n| Swaptions | 1 | 1.29 | 2.29 | 2.52 | n/a |","| Blackscholes | 100 | 1.00 | 1.03 | 1.24 | n/a |\n| --- | --- | --- | --- | --- | --- |\n| Fluidanimate | 3500 | 1.00 | 1.01 | 1.05 | n/a |\n| Streamcluster | 53460 | 1.00 | 1.00 | 1.00 | 1.02 |",1]
["| Benchmark | #Trees | #Failures |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | 1 | 10 | 100 | 1000 |\n| Swaptions | 1 | 1.29 | 2.29 | 2.52 | n/a |","| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |\n| FinalGT | 41.70 | 45.27 | 35.78 | 32.97 | 51.05 | 47.82 | 28.63 | 27.61 | 44.18 | N/A | 22.98 | 38.67 | 28.32 | 30.21 |\n| BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |\n| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |\n| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",0]
["| Benchmark | #Trees | #Failures |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | 1 | 10 | 100 | 1000 |\n| Swaptions | 1 | 1.29 | 2.29 | 2.52 | n/a |\n| Blackscholes | 100 | 1.00 | 1.03 | 1.24 | n/a |","| Fluidanimate | 3500 | 1.00 | 1.01 | 1.05 | n/a |\n| --- | --- | --- | --- | --- | --- |\n| Streamcluster | 53460 | 1.00 | 1.00 | 1.00 | 1.02 |",1]
["| Benchmark | #Trees | #Failures |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  | 1 | 10 | 100 | 1000 |\n| Swaptions | 1 | 1.29 | 2.29 | 2.52 | n/a |\n| Blackscholes | 100 | 1.00 | 1.03 | 1.24 | n/a |","| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 | 31.70 | 34.84 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |\n| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 | 38.04 | 45.38 |",0]
["| Regions | WholeBrain |  |  |  |\n| --- | --- | --- | --- | --- |\n| Contrasts | T1 | T1-IR | T2-FL | T1 |\n| BCS | 28.77/0.854 | 30.92/0.922 | 29.40/0.788 | 27.80/0.816 |\n| PANO | 32.82/0.928 | 32.81/0.953 | 33.48/0.926 | 30.83/0.893 |\n| GBRWT | 33.16/0.939 | 33.10/0.958 | 33.91/0.943 | 31.00/0.896 |\n| FCSA-MT | 32.59/0.934 | 34.73/0.967 | 31.57/0.915 | 31.12/0.899 |\n| DIRN-5B | 36.48/0.967 | 37.54/0.978 | 34.52/0.935 | 33.87/0.935 |","| DFSN-5B | 37.17/0.969 | 39.80/0.984 | 35.71/0.949 | 34.77/0.942 |\n| --- | --- | --- | --- | --- |\n| DISN-5B | 37.65/0.972 | 40.54/0.985 | 36.53/0.955 | 35.01/0.943 |",1]
["| Regions | WholeBrain |  |  |  |\n| --- | --- | --- | --- | --- |\n| Contrasts | T1 | T1-IR | T2-FL | T1 |\n| BCS | 28.77/0.854 | 30.92/0.922 | 29.40/0.788 | 27.80/0.816 |\n| PANO | 32.82/0.928 | 32.81/0.953 | 33.48/0.926 | 30.83/0.893 |\n| GBRWT | 33.16/0.939 | 33.10/0.958 | 33.91/0.943 | 31.00/0.896 |\n| FCSA-MT | 32.59/0.934 | 34.73/0.967 | 31.57/0.915 | 31.12/0.899 |\n| DIRN-5B | 36.48/0.967 | 37.54/0.978 | 34.52/0.935 | 33.87/0.935 |","| Region | L | T | mi | vii | siii | κiiii |\n| --- | --- | --- | --- | --- | --- | --- |\n| USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 |\n| MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 |\n| CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 |\n| JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 |\n| GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 |\n| ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 |\n| PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 |\n| CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 |\n| FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 |\n| DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 |\n| COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 |\n| ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 |\n| CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 |\n| CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 |\n| SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 |\n| NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 |\n| BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 |\n| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| Regions | WholeBrain |  |  |  |\n| --- | --- | --- | --- | --- |\n| Contrasts | T1 | T1-IR | T2-FL | T1 |\n| BCS | 28.77/0.854 | 30.92/0.922 | 29.40/0.788 | 27.80/0.816 |\n| PANO | 32.82/0.928 | 32.81/0.953 | 33.48/0.926 | 30.83/0.893 |\n| GBRWT | 33.16/0.939 | 33.10/0.958 | 33.91/0.943 | 31.00/0.896 |\n| FCSA-MT | 32.59/0.934 | 34.73/0.967 | 31.57/0.915 | 31.12/0.899 |","| DIRN-5B | 36.48/0.967 | 37.54/0.978 | 34.52/0.935 | 33.87/0.935 |\n| --- | --- | --- | --- | --- |\n| DFSN-5B | 37.17/0.969 | 39.80/0.984 | 35.71/0.949 | 34.77/0.942 |\n| DISN-5B | 37.65/0.972 | 40.54/0.985 | 36.53/0.955 | 35.01/0.943 |",1]
["| Regions | WholeBrain |  |  |  |\n| --- | --- | --- | --- | --- |\n| Contrasts | T1 | T1-IR | T2-FL | T1 |\n| BCS | 28.77/0.854 | 30.92/0.922 | 29.40/0.788 | 27.80/0.816 |\n| PANO | 32.82/0.928 | 32.81/0.953 | 33.48/0.926 | 30.83/0.893 |\n| GBRWT | 33.16/0.939 | 33.10/0.958 | 33.91/0.943 | 31.00/0.896 |\n| FCSA-MT | 32.59/0.934 | 34.73/0.967 | 31.57/0.915 | 31.12/0.899 |","| ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 |\n| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 |\n| BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 |\n| ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 |\n| Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |",0]
["| Weighted<br>Parameter | RMSEagainst<br>actualresult | RMSEagainst<br>predictionmarket |\n| --- | --- | --- |\n| 1-RMSE | 0.4154 | 0.1115 |\n| previouspredictions | 0.4131 | 0.1204 |\n| numberoffollowers | 0.4183 | 0.1148 |\n| numberoffriends | 0.4158 | 0.1124 |\n| allfouraveraged | 0.4169 | 0.1104 |","| Trustworthiness | 0.4147 | 0.1131 |\n| --- | --- | --- |\n| non-weighted | 0.4197 | 0.1159 |\n| Betting | 0.3959 | 0.0000 |",1]
["| Weighted<br>Parameter | RMSEagainst<br>actualresult | RMSEagainst<br>predictionmarket |\n| --- | --- | --- |\n| 1-RMSE | 0.4154 | 0.1115 |\n| previouspredictions | 0.4131 | 0.1204 |\n| numberoffollowers | 0.4183 | 0.1148 |\n| numberoffriends | 0.4158 | 0.1124 |\n| allfouraveraged | 0.4169 | 0.1104 |","| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 5Endmembers | 8Endmembers |  |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1966 | 1 | 0.1521 | 1 |\n| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |\n| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |\n| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |\n| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |\n|  | GBM |  |  |  |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["| Weighted<br>Parameter | RMSEagainst<br>actualresult | RMSEagainst<br>predictionmarket |\n| --- | --- | --- |\n| 1-RMSE | 0.4154 | 0.1115 |\n| previouspredictions | 0.4131 | 0.1204 |\n| numberoffollowers | 0.4183 | 0.1148 |","| numberoffriends | 0.4158 | 0.1124 |\n| --- | --- | --- |\n| allfouraveraged | 0.4169 | 0.1104 |\n| Trustworthiness | 0.4147 | 0.1131 |\n| non-weighted | 0.4197 | 0.1159 |\n| Betting | 0.3959 | 0.0000 |",1]
["| Weighted<br>Parameter | RMSEagainst<br>actualresult | RMSEagainst<br>predictionmarket |\n| --- | --- | --- |\n| 1-RMSE | 0.4154 | 0.1115 |\n| previouspredictions | 0.4131 | 0.1204 |\n| numberoffollowers | 0.4183 | 0.1148 |","| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |\n| --- | --- | --- | --- | --- |\n| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |\n| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |\n|  | GBM |  |  |  |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |\n| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |","| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",1]
["|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |\n| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |","| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |","| Sherbrooke | 0.317 | 0.523 | 0.553 | 0.576 | 0.404 | 0.690 | 0.576 | 0.590 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Rene-Levesque | 0.334 | 0.424 | 0.5309 | 0.660 | 0.565 | 0.613 | 0.582 | 0.705 |\n| Rouen | 0.501 | 0.629 | 0.582 | 0.600 | 0.696 | 0.670 | 0.617 | 0.620 |\n| St-Marc | 0.463 | 0.534 | 0.652 | 0.651 | 0.638 | 0.653 | 0.691 | 0.682 |",1]
["|  | MKCF | UT |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | MOTA | MOTP | MOTA | MOTP |  |  |  |  |\n|  | ViBe | Ours | ViBe | Ours | ViBe | Ours | ViBe | Ours |","| 39 | brotherlad | 0.6025 | 0.1275 |\n| --- | --- | --- | --- |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["|  | ML | C | B | BC | T | TC | BT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| JJ/NN+NN/JJ | 73+137 | 70+94 | 73+112 | 69+102 | 57+103 | 61+95 | 67+101 |\n| VBD/VBN+VBN/VBD | 176+190 | 71+66 | 88+69 | 63+56 | 56+57 | 55+57 | 65+60 |\n| IN/RB+RB/IN | 31+132 | 40+69 | 66+107 | 43+17 | 77+68 | 47+67 | 65+98 |\n| VB/VBP+VBP/VB | 128+147 | 30+26 | 49+43 | 32+27 | 31+32 | 32+18 | 28+32 |","| NN/NNP+NNP/NN | 70+11 | 44+12 | 72+17 | 45+16 | 69+27 | 50+18 | 71+20 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| NNP/NNPS+NNPS/NNP | 45+14 | 37+19 | 45+13 | 46+15 | 54+12 | 51+12 | 53+14 |\n| “that” | 187 | 53 | 66 | 45 | 60 | 40 | 57 |\n| Total | 1341 | 631 | 820 | 630 | 703 | 603 | 731 |",1]
["|  | ML | C | B | BC | T | TC | BT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| JJ/NN+NN/JJ | 73+137 | 70+94 | 73+112 | 69+102 | 57+103 | 61+95 | 67+101 |\n| VBD/VBN+VBN/VBD | 176+190 | 71+66 | 88+69 | 63+56 | 56+57 | 55+57 | 65+60 |\n| IN/RB+RB/IN | 31+132 | 40+69 | 66+107 | 43+17 | 77+68 | 47+67 | 65+98 |\n| VB/VBP+VBP/VB | 128+147 | 30+26 | 49+43 | 32+27 | 31+32 | 32+18 | 28+32 |","| M | Orig.<br>#T | #KB | #I | NetFABB<br>#T | #KB | #I | D | MeshMixer<br>#T | #KB | #I | D |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1 | 4002 | 781 | 98 | 4564 | 890 | 296 | 0 | 32738 | 6387 | 0 | 0.43 |\n| 2 | 145 | 28 | 42 | 264 | 50 | 0 | 11.3 | 30678 | 5981 | 0 | 0.47 |\n| 3 | 20 | 4 | 18 | 12 | 3 | 0 | 4.9 | 26122 | 4876 | 0 | 0.41 |\n| 4 | 15294 | 4176 | 5060 | 21064 | 4653 | 1102 | 18.5 | 1058720 | 223453 | 0 | 0.46 |\n| 5 | 52851 | 11842 | 7914 | 59712 | 13378 | 2142 | 3.8 | 1337174 | 302297 | 0 | 0.45 |",0]
["|  | ML | C | B | BC | T | TC | BT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| JJ/NN+NN/JJ | 73+137 | 70+94 | 73+112 | 69+102 | 57+103 | 61+95 | 67+101 |","| VBD/VBN+VBN/VBD | 176+190 | 71+66 | 88+69 | 63+56 | 56+57 | 55+57 | 65+60 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| IN/RB+RB/IN | 31+132 | 40+69 | 66+107 | 43+17 | 77+68 | 47+67 | 65+98 |\n| VB/VBP+VBP/VB | 128+147 | 30+26 | 49+43 | 32+27 | 31+32 | 32+18 | 28+32 |\n| NN/NNP+NNP/NN | 70+11 | 44+12 | 72+17 | 45+16 | 69+27 | 50+18 | 71+20 |\n| NNP/NNPS+NNPS/NNP | 45+14 | 37+19 | 45+13 | 46+15 | 54+12 | 51+12 | 53+14 |\n| “that” | 187 | 53 | 66 | 45 | 60 | 40 | 57 |\n| Total | 1341 | 631 | 820 | 630 | 703 | 603 | 731 |",1]
["|  | ML | C | B | BC | T | TC | BT |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| JJ/NN+NN/JJ | 73+137 | 70+94 | 73+112 | 69+102 | 57+103 | 61+95 | 67+101 |","| 2 | 145 | 28 | 42 | 264 | 50 | 0 | 11.3 | 30678 | 5981 | 0 | 0.47 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3 | 20 | 4 | 18 | 12 | 3 | 0 | 4.9 | 26122 | 4876 | 0 | 0.41 |\n| 4 | 15294 | 4176 | 5060 | 21064 | 4653 | 1102 | 18.5 | 1058720 | 223453 | 0 | 0.46 |\n| 5 | 52851 | 11842 | 7914 | 59712 | 13378 | 2142 | 3.8 | 1337174 | 302297 | 0 | 0.45 |",0]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 0-18 | 38,219 | 912,344 |","| Develop | 19-21 | 5,527 | 131,768 |\n| --- | --- | --- | --- |\n| Test | 22-24 | 5,462 | 129,654 |\n| #oftagtypes | 45 |  |  |",1]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 0-18 | 38,219 | 912,344 |","| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 15-18 | 8,936 | 211,727 |\n| Develop | N/A | N/A | N/A |\n| Test | 20 | 2,012 | 47,377 |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",0]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 0-18 | 38,219 | 912,344 |","| Develop | 19-21 | 5,527 | 131,768 |\n| --- | --- | --- | --- |\n| Test | 22-24 | 5,462 | 129,654 |\n| #oftagtypes | 45 |  |  |",1]
["| DataSet | WSJsec.IDs | Sentences# | Tokens# |\n| --- | --- | --- | --- |\n| Training | 0-18 | 38,219 | 912,344 |","| Develop | N/A | N/A | N/A |\n| --- | --- | --- | --- |\n| Test | 20 | 2,012 | 47,377 |\n| #oftagtypes(IOBESscheme) | 42 |  |  |",0]
["| Class | Prec. | Sens. | Spec. | F1 |\n| --- | --- | --- | --- | --- |\n| Normal | 98.98 | 97.33 | 99.85 | 98.15 |\n| Cardiomegaly | 99.59 | 99.39 | 99.95 | 99.49 |\n| Medicaldevice | 98.52 | 94.34 | 99.27 | 96.39 |","| Pleuraleﬀusion | 96.80 | 91.42 | 99.36 | 94.03 |\n| --- | --- | --- | --- | --- |\n| Pneumothorax | 77.07 | 96.88 | 98.05 | 85.85 |",1]
["| Class | Prec. | Sens. | Spec. | F1 |\n| --- | --- | --- | --- | --- |\n| Normal | 98.98 | 97.33 | 99.85 | 98.15 |\n| Cardiomegaly | 99.59 | 99.39 | 99.95 | 99.49 |\n| Medicaldevice | 98.52 | 94.34 | 99.27 | 96.39 |","| Dataset | #ofsamples | #ofclasses | #ofattributes |\n| --- | --- | --- | --- |\n| Breastcancer | 286 | 2 | 9 |\n| Diabetes | 768 | 2 | 8 |\n| SolarFlare | 144 | 3 | 9 |\n| German | 1000 | 2 | 20 |\n| Heart | 270 | 2 | 13 |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| Class | Prec. | Sens. | Spec. | F1 |\n| --- | --- | --- | --- | --- |\n| Normal | 98.98 | 97.33 | 99.85 | 98.15 |\n| Cardiomegaly | 99.59 | 99.39 | 99.95 | 99.49 |\n| Medicaldevice | 98.52 | 94.34 | 99.27 | 96.39 |","| Pleuraleﬀusion | 96.80 | 91.42 | 99.36 | 94.03 |\n| --- | --- | --- | --- | --- |\n| Pneumothorax | 77.07 | 96.88 | 98.05 | 85.85 |",1]
["| Class | Prec. | Sens. | Spec. | F1 |\n| --- | --- | --- | --- | --- |\n| Normal | 98.98 | 97.33 | 99.85 | 98.15 |\n| Cardiomegaly | 99.59 | 99.39 | 99.95 | 99.49 |\n| Medicaldevice | 98.52 | 94.34 | 99.27 | 96.39 |","| Heart | 270 | 2 | 13 |\n| --- | --- | --- | --- |\n| Image | 2310 | 7 | 19 |\n| Ringnorm | 7400 | 2 | 20 |\n| Splice | 3190 | 3 | 60 |\n| Thyroid | 215 | 3 | 5 |\n| Twonorm | 7400 | 2 | 20 |\n| Waveform | 5000 | 3 | 21 |",0]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 87.02 | 88.73 | 96.60 | 97.79 |","| 32 | 88.44 | 86.39 | 98.46 | 93.41 |\n| --- | --- | --- | --- | --- |\n| 64 | 88.29 | 88.56 | 99.06 | 96.55 |\n| 100 | 89.65 | 90.24 | 99.21 | 98.84 |\n| 128 | 89.24 | 89.31 | 98.79 | 98.26 |\n| 150 | 89.83 | 89.65 | 99.33 | 99.55 |\n| 200 | 89.92 | 90.65 | 99.71 | 99.47 |",1]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 87.02 | 88.73 | 96.60 | 97.79 |","| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 84.85 | 86.45 | 94.91 | 96.40 |\n| 32 | 83.41 | 83.89 | 94.43 | 93.18 |\n| 64 | 83.82 | 85.93 | 96.04 | 96.23 |\n| 100 | 83.49 | 85.53 | 93.93 | 95.74 |\n| 128 | 84.67 | 86.75 | 97.49 | 97.52 |\n| 150 | 85.84 | 86.33 | 97.49 | 97.27 |\n| 200 | 85.98 | 87.46 | 97.27 | 97.46 |",0]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 87.02 | 88.73 | 96.60 | 97.79 |\n| 32 | 88.44 | 86.39 | 98.46 | 93.41 |\n| 64 | 88.29 | 88.56 | 99.06 | 96.55 |\n| 100 | 89.65 | 90.24 | 99.21 | 98.84 |\n| 128 | 89.24 | 89.31 | 98.79 | 98.26 |","| 150 | 89.83 | 89.65 | 99.33 | 99.55 |\n| --- | --- | --- | --- | --- |\n| 200 | 89.92 | 90.65 | 99.71 | 99.47 |",1]
["| HiddenUnits | TestAcc. | TrainingAcc. |  |  |\n| --- | --- | --- | --- | --- |\n|  | n≤20 | n≤25 | n≤20 | n≤25 |\n| 16 | 87.02 | 88.73 | 96.60 | 97.79 |\n| 32 | 88.44 | 86.39 | 98.46 | 93.41 |\n| 64 | 88.29 | 88.56 | 99.06 | 96.55 |\n| 100 | 89.65 | 90.24 | 99.21 | 98.84 |\n| 128 | 89.24 | 89.31 | 98.79 | 98.26 |","| 100 | 83.49 | 85.53 | 93.93 | 95.74 |\n| --- | --- | --- | --- | --- |\n| 128 | 84.67 | 86.75 | 97.49 | 97.52 |\n| 150 | 85.84 | 86.33 | 97.49 | 97.27 |\n| 200 | 85.98 | 87.46 | 97.27 | 97.46 |",0]
["| Events | AUC(F)64 | AUC(F)128 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.638 |\n| Children’sVoices | 0.678 | 0.633 |","| Clanking | 0.714 | 0.744 |\n| --- | --- | --- |\n| Clapping | 0.646 | 0.667 |\n| Drums | 0.60 | 0.636 |\n| EngineNoise | 0.623 | 0.642 |\n| Hammering | 0.557 | 0.587 |\n| Laughing | 0.527 | 0.540 |\n| MarchingBand | 0.551 | 0.554 |\n| Scraping | 0.723 | 0.735 |\n| Mean | 0.625 | 0.637 |",1]
["| Events | AUC(F)64 | AUC(F)128 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.638 |\n| Children’sVoices | 0.678 | 0.633 |","| Events | AUC(F)64 | AUC([F,M])6464 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.668 |\n| Children’sVoices | 0.678 | 0.723 |\n| Clanking | 0.714 | 0.859 |\n| Clapping | 0.646 | 0.680 |\n| Drums | 0.60 | 0.639 |\n| EngineNoise | 0.623 | 0.575 |\n| Hammering | 0.557 | 0.660 |\n| Laughing | 0.527 | 0.641 |\n| MarchingBand | 0.551 | 0.745 |\n| Scraping | 0.723 | 0.744 |\n| Mean | 0.625 | 0.693 |",0]
["| Events | AUC(F)64 | AUC(F)128 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.638 |\n| Children’sVoices | 0.678 | 0.633 |","| Clanking | 0.714 | 0.744 |\n| --- | --- | --- |\n| Clapping | 0.646 | 0.667 |\n| Drums | 0.60 | 0.636 |\n| EngineNoise | 0.623 | 0.642 |\n| Hammering | 0.557 | 0.587 |\n| Laughing | 0.527 | 0.540 |\n| MarchingBand | 0.551 | 0.554 |\n| Scraping | 0.723 | 0.735 |\n| Mean | 0.625 | 0.637 |",1]
["| Events | AUC(F)64 | AUC(F)128 |\n| --- | --- | --- |\n| Cheering | 0.632 | 0.638 |\n| Children’sVoices | 0.678 | 0.633 |","| Scraping | 0.723 | 0.744 |\n| --- | --- | --- |\n| Mean | 0.625 | 0.693 |",0]
["| Hyper-parameter | POS |\n| --- | --- |\n| windowsize<br>numberofﬁlters | 3<br>30 |\n| statesize<br>initialstate<br>peepholes | 200<br>0.0<br>no |","| dropoutrate | 0.5 |\n| --- | --- |\n| batchsize<br>initiallearningrate<br>decayrate<br>gradientclipping | 10<br>0.01<br>0.05<br>5.0 |",1]
["| Hyper-parameter | POS |\n| --- | --- |\n| windowsize<br>numberofﬁlters | 3<br>30 |\n| statesize<br>initialstate<br>peepholes | 200<br>0.0<br>no |","| Hyper-parameter |\n| --- |\n| windowsize<br>numberofﬁlters |\n| numberoflayers<br>statesize<br>initialstate<br>peepholes |\n| numberoflayers<br>dimension |\n| embeddings<br>LSTMhiddenstates<br>LSTMlayers |\n| optimizer<br>initiallearningrate<br>decayrate<br>gradientclipping |",0]
["| Hyper-parameter | POS |\n| --- | --- |\n| windowsize<br>numberofﬁlters | 3<br>30 |\n| statesize<br>initialstate<br>peepholes | 200<br>0.0<br>no |","| dropoutrate | 0.5 |\n| --- | --- |\n| batchsize<br>initiallearningrate<br>decayrate<br>gradientclipping | 10<br>0.01<br>0.05<br>5.0 |",1]
["| Hyper-parameter | POS |\n| --- | --- |\n| windowsize<br>numberofﬁlters | 3<br>30 |\n| statesize<br>initialstate<br>peepholes | 200<br>0.0<br>no |","| embeddings<br>LSTMhiddenstates<br>LSTMlayers |\n| --- |\n| optimizer<br>initiallearningrate<br>decayrate<br>gradientclipping |",0]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.135<br>16.3971<br>8.31851<br>42.6324 | 55.6074<br>138.267<br>53.8514<br>146.168<br>131.177<br>113.686<br>18.9477<br>16.94<br>63.1591 |\n| 50 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 19.5708<br>33.6343<br>13.6876<br>49.5795<br>43.4625<br>42.632<br>4.3519<br>3.28906<br>24.0764 | 44.693<br>78.046<br>33.736<br>106.716<br>106.716<br>96.8349<br>16.6003<br>8.31333<br>54.4696 | 70.6633<br>193.67<br>60.8033<br>275.215<br>290.505<br>249.004<br>19.439<br>16.7599<br>87.1514 |","| 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 |\n| --- | --- | --- | --- | --- |\n| 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 |\n| 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |",1]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.135<br>16.3971<br>8.31851<br>42.6324 | 55.6074<br>138.267<br>53.8514<br>146.168<br>131.177<br>113.686<br>18.9477<br>16.94<br>63.1591 |\n| 50 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 19.5708<br>33.6343<br>13.6876<br>49.5795<br>43.4625<br>42.632<br>4.3519<br>3.28906<br>24.0764 | 44.693<br>78.046<br>33.736<br>106.716<br>106.716<br>96.8349<br>16.6003<br>8.31333<br>54.4696 | 70.6633<br>193.67<br>60.8033<br>275.215<br>290.505<br>249.004<br>19.439<br>16.7599<br>87.1514 |","| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 2 | ABM<br>HAL<br>L<br>SF<br>TBM | 8.89665<br>8.26117<br>6.08718<br>4.28357<br>10.5142 | 24.6946<br>24.6946<br>24.6946<br>9.87784<br>32.9261 | 32.9261<br>32.9261<br>32.9261<br>24.6946<br>32.9261 |\n| 4 | ABM<br>HAL<br>L<br>SF<br>TBM | 20.4425<br>23.3995<br>6.52724<br>4.29622<br>21.2602 | 46.7838<br>51.0369<br>27.8712<br>9.84923<br>49.123 | 68.9446<br>83.6137<br>38.9093<br>23.3919<br>71.4517 |\n| 6 | ABM<br>HAL<br>L<br>SF<br>TBM | 28.1637<br>31.2569<br>6.45279<br>4.28142<br>29.2294 | 60.2832<br>63.6323<br>27.4015<br>9.84005<br>62.249 | 89.4829<br>108.055<br>37.9265<br>22.1973<br>93.8837 |\n| 8 | ABM<br>HAL<br>L<br>SF<br>TBM | 33.7463<br>37.0999<br>6.34086<br>4.23323<br>35.3437 | 69.2828<br>73.0482<br>26.6684<br>9.78229<br>72.2627 | 106.674<br>126.801<br>36.5241<br>22.0342<br>112.007 |\n| 10 | ABM<br>HAL<br>L<br>SF<br>TBM | 39.6329<br>42.5986<br>6.32525<br>4.22537<br>41.1973 | 76.2308<br>80.5134<br>26.6383<br>9.74924<br>78.7439 | 117.47<br>135.202<br>36.1904<br>21.9134<br>125.714 |\n| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.135<br>16.3971<br>8.31851<br>42.6324 | 55.6074<br>138.267<br>53.8514<br>146.168<br>131.177<br>113.686<br>18.9477<br>16.94<br>63.1591 |","| 50 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 19.5708<br>33.6343<br>13.6876<br>49.5795<br>43.4625<br>42.632<br>4.3519<br>3.28906<br>24.0764 | 44.693<br>78.046<br>33.736<br>106.716<br>106.716<br>96.8349<br>16.6003<br>8.31333<br>54.4696 | 70.6633<br>193.67<br>60.8033<br>275.215<br>290.505<br>249.004<br>19.439<br>16.7599<br>87.1514 |\n| --- | --- | --- | --- | --- |\n| 100 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 21.2655<br>36.6439<br>12.946<br>70.4997<br>71.2744<br>70.4997<br>4.24474<br>3.24623<br>27.8368 | 49.6781<br>85.8841<br>32.0706<br>163.457<br>187.673<br>168.905<br>16.0862<br>8.23929<br>66.6732 | 73.4371<br>220.311<br>56.3018<br>389.782<br>460.651<br>460.651<br>19.1938<br>16.5054<br>105.566 |\n| 150 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 24.2269<br>37.6383<br>14.0205<br>84.3097<br>91.641<br>90.3318<br>4.33395<br>3.28992<br>29.1393 | 56.1366<br>86.667<br>34.5456<br>197.601<br>247.001<br>235.239<br>16.3037<br>8.33056<br>72.6474 | 86.667<br>205.834<br>60.9879<br>548.891<br>548.891<br>494.002<br>19.5258<br>17.0935<br>107.392 |\n| 200 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 23.9786<br>37.0578<br>13.3106<br>89.3449<br>103.527<br>105.196<br>4.26565<br>3.25946<br>28.7321 | 55.3853<br>90.9902<br>33.3036<br>221.541<br>283.081<br>283.081<br>16.2275<br>8.28528<br>73.8471 | 86.3636<br>212.31<br>57.9028<br>509.545<br>636.931<br>566.161<br>19.0841<br>16.8167<br>113.232 |",1]
["| Pattern<br>Size | Algorithm | System1 | System2 | System3 |\n| --- | --- | --- | --- | --- |\n| 20 | ABM<br>GBM<br>HAL<br>HAL2<br>HAL3<br>HAL4<br>L<br>SF<br>TBM | 16.0893<br>25.8827<br>13.1493<br>28.7208<br>22.8165<br>21.9008<br>4.33091<br>3.28732<br>18.0395 | 37.3422<br>62.3888<br>32.5853<br>67.3143<br>63.9486<br>58.135<br>16.3971<br>8.31851<br>42.6324 | 55.6074<br>138.267<br>53.8514<br>146.168<br>131.177<br>113.686<br>18.9477<br>16.94<br>63.1591 |","| 14 | ABM<br>HAL<br>L<br>SF<br>TBM | 47.7986<br>49.8997<br>6.22037<br>4.189<br>49.3573 | 89.1214<br>92.9962<br>25.9262<br>9.72233<br>92.9962 | 129.631<br>147.511<br>33.6837<br>21.1774<br>142.594 |\n| --- | --- | --- | --- | --- |\n| 18 | ABM<br>HAL<br>L<br>SF<br>TBM | 50.1514<br>50.1514<br>5.86185<br>4.05173<br>51.2912 | 97.859<br>101.773<br>24.7023<br>9.63763<br>97.859 | 141.352<br>159.021<br>31.4115<br>21.0275<br>149.667 |",0]
["| Pu | AverageCommunicationActsPerformed |  |  |  |\n| --- | --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |  |\n| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |","| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| --- | --- | --- | --- | --- |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",1]
["| Pu | AverageCommunicationActsPerformed |  |  |  |\n| --- | --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |  |\n| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |","| Pu | AverageCommunicationActsPerformed |  |  |  |\n| --- | --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |  |\n| 0.2 | 0 | 31.436 | 1.194 | 6.717 |\n| 0.4 | 0 | 18.665 | 1 | 3.904 |\n| 0.6 | 0 | 13.426 | 1 | 2.036 |\n| 0.8 | 0 | 10.292 | 0 | 1.296 |",0]
["| Pu | AverageCommunicationActsPerformed |  |  |\n| --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |","| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| --- | --- | --- | --- | --- |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",1]
["| Pu | AverageCommunicationActsPerformed |  |  |\n| --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |","| 0.2 | 0 | 31.436 | 1.194 | 6.717 |\n| --- | --- | --- | --- | --- |\n| 0.4 | 0 | 18.665 | 1 | 3.904 |\n| 0.6 | 0 | 13.426 | 1 | 2.036 |\n| 0.8 | 0 | 10.292 | 0 | 1.296 |",0]
["| Thetransitlinearrival |\n| --- |\n| Transitline1arrivesattime1 |\n| Transitline3arrivesattime2 |","| Transitline1arrivesattime3 |\n| --- |\n| Transitline1arrivesattime3 |\n| Transitline2arrivesattime5 |\n| Transitline1arrivesattime3 |\n| Transitline3arrivesattime6 |\n| Transitline3arrivesattime6 |",1]
["| Thetransitlinearrival |\n| --- |\n| Transitline1arrivesattime1 |\n| Transitline3arrivesattime2 |","| ID | Description |\n| --- | --- |\n| 1 | Thenewinstructionatline2 |\n| 2 | Thelist.addoperationatline4and7 |\n| 3 | Thearithmeticaddoperationatline3,4,5,and7 |\n| 4 | Thecomparisoninstructionatline3,5,and6 |\n| 5 | Theassignmentinstructionatline2,3,and5 |\n| 6 | Thesystem.out.printlnatline11 |",0]
["| Thetransitlinearrival |\n| --- |\n| Transitline1arrivesattime1 |\n| Transitline3arrivesattime2 |","| Transitline1arrivesattime3 |\n| --- |\n| Transitline1arrivesattime3 |\n| Transitline2arrivesattime5 |\n| Transitline1arrivesattime3 |\n| Transitline3arrivesattime6 |\n| Transitline3arrivesattime6 |",1]
["| Thetransitlinearrival |\n| --- |\n| Transitline1arrivesattime1 |\n| Transitline3arrivesattime2 |","| 5 | Theassignmentinstructionatline2,3,and5 |\n| --- | --- |\n| 6 | Thesystem.out.printlnatline11 |",0]
["| Category | AUs | Category | AUs |\n| --- | --- | --- | --- |\n| Happy | 12,25 | Sadlydisgusted | 4,10 |\n| Sad | 4,15 | Fearfullyangry | 4,20,25 |\n| Fearful | 1,4,20,25 | Fearfullysurpd. | 1,2,5,20,25 |\n| Angry | 4,7,24 | Sadlyangry | 4,7,15 |\n| Surprised | 1,2,25,26 | Angrilysurprised | 4,25,26 |","| Disgusted | 9,10,17 | Appalled | 4,9,10 |\n| --- | --- | --- | --- |\n| Happilysurpd. | 1,2,12,25 | Angrilydisgusted | 4,10,17 |\n| Happilydisgd. | 10,12,25 | Awed | 1,2,5,25 |",1]
["| Category | AUs | Category | AUs |\n| --- | --- | --- | --- |\n| Happy | 12,25 | Sadlydisgusted | 4,10 |\n| Sad | 4,15 | Fearfullyangry | 4,20,25 |\n| Fearful | 1,4,20,25 | Fearfullysurpd. | 1,2,5,20,25 |\n| Angry | 4,7,24 | Sadlyangry | 4,7,15 |\n| Surprised | 1,2,25,26 | Angrilysurprised | 4,25,26 |","| Expression | Number |\n| --- | --- |\n| Neutral | 80,276 |\n| Happy | 146,198 |\n| Sad | 29,487 |\n| Surprise | 16,288 |\n| Fear | 8,191 |\n| Disgust | 5,264 |\n| Anger | 28,130 |\n| Contempt | 5,135 |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",0]
["| Category | AUs | Category | AUs |\n| --- | --- | --- | --- |\n| Happy | 12,25 | Sadlydisgusted | 4,10 |\n| Sad | 4,15 | Fearfullyangry | 4,20,25 |\n| Fearful | 1,4,20,25 | Fearfullysurpd. | 1,2,5,20,25 |\n| Angry | 4,7,24 | Sadlyangry | 4,7,15 |\n| Surprised | 1,2,25,26 | Angrilysurprised | 4,25,26 |\n| Disgusted | 9,10,17 | Appalled | 4,9,10 |","| Happilysurpd. | 1,2,12,25 | Angrilydisgusted | 4,10,17 |\n| --- | --- | --- | --- |\n| Happilydisgd. | 10,12,25 | Awed | 1,2,5,25 |",1]
["| Category | AUs | Category | AUs |\n| --- | --- | --- | --- |\n| Happy | 12,25 | Sadlydisgusted | 4,10 |\n| Sad | 4,15 | Fearfullyangry | 4,20,25 |\n| Fearful | 1,4,20,25 | Fearfullysurpd. | 1,2,5,20,25 |\n| Angry | 4,7,24 | Sadlyangry | 4,7,15 |\n| Surprised | 1,2,25,26 | Angrilysurprised | 4,25,26 |\n| Disgusted | 9,10,17 | Appalled | 4,9,10 |","| Disgust | 5,264 |\n| --- | --- |\n| Anger | 28,130 |\n| Contempt | 5,135 |\n| None | 35,322 |\n| Uncertain | 13,163 |\n| Non-Face | 88,895 |",0]
["| wirei | Delays |  |  |\n| --- | --- | --- | --- |\n| OLC | FPC | FOC |  |\n| 1 | 55.36 | 107.43 | 107.73 |\n| 2 | 32.20 | 102.71 | 159.65 |\n| 3 | 51.40 | 106.65 | 154.59 |\n| 4 | 51.06 | 101.91 | 162.61 |\n| 5 | 50.79 | 101.89 | 162.77 |\n| 6 | 51.39 | 106.53 | 154.62 |\n| 7 | 32.46 | 102.72 | 160.61 |\n| 8 | 55.36 | 107.39 | 108.88 |","|  | 73.50 | 141.45 | 209.40 |\n| --- | --- | --- | --- |\n| T | 62.09 | 106.43 | 152.24 |\n| T | 53.43 | 98.76 | 98.76 |\n| T | 42.52 | 102.84 | 157.64 |",1]
["| wirei | Delays |  |  |\n| --- | --- | --- | --- |\n| OLC | FPC | FOC |  |\n| 1 | 55.36 | 107.43 | 107.73 |\n| 2 | 32.20 | 102.71 | 159.65 |\n| 3 | 51.40 | 106.65 | 154.59 |\n| 4 | 51.06 | 101.91 | 162.61 |\n| 5 | 50.79 | 101.89 | 162.77 |\n| 6 | 51.39 | 106.53 | 154.62 |\n| 7 | 32.46 | 102.72 | 160.61 |\n| 8 | 55.36 | 107.39 | 108.88 |","|  | GradualandSharp |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Video | TP | FP | FN | P | R | F |\n| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |\n| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |\n| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |\n| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |\n| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |\n| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |\n| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |\n| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |\n| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |\n| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |\n| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |\n| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["| wirei | Delays |  |  |\n| --- | --- | --- | --- |\n| OLC | FPC | FOC |  |\n| 1 | 55.36 | 107.43 | 107.73 |\n| 2 | 32.20 | 102.71 | 159.65 |\n| 3 | 51.40 | 106.65 | 154.59 |\n| 4 | 51.06 | 101.91 | 162.61 |\n| 5 | 50.79 | 101.89 | 162.77 |","| 6 | 51.39 | 106.53 | 154.62 |\n| --- | --- | --- | --- |\n| 7 | 32.46 | 102.72 | 160.61 |\n| 8 | 55.36 | 107.39 | 108.88 |\n|  | 73.50 | 141.45 | 209.40 |\n| T | 62.09 | 106.43 | 152.24 |\n| T | 53.43 | 98.76 | 98.76 |\n| T | 42.52 | 102.84 | 157.64 |",1]
["| wirei | Delays |  |  |\n| --- | --- | --- | --- |\n| OLC | FPC | FOC |  |\n| 1 | 55.36 | 107.43 | 107.73 |\n| 2 | 32.20 | 102.71 | 159.65 |\n| 3 | 51.40 | 106.65 | 154.59 |\n| 4 | 51.06 | 101.91 | 162.61 |\n| 5 | 50.79 | 101.89 | 162.77 |","| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |\n| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |\n| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |\n| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |\n| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |\n| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 |",0]
["|  | MSE | PSNR | SSIM |\n| --- | --- | --- | --- |\n| Noguidance(Baseline) | 0.0316 | 20.32 | 0.7934 |\n| Onlystructureguidance | 0.0215 | 21.71 | 0.8671 |","| Onlytextureguidance | 0.0118 | 23.23 | 0.8201 |\n| --- | --- | --- | --- |\n| Doubleguidance(trainedseparately) | 0.0059 | 24.78 | 0.9078 |\n| Doubleguidance(ﬁne-tuned) | 0.0051 | 25.07 | 0.9152 |",1]
["|  | MSE | PSNR | SSIM |\n| --- | --- | --- | --- |\n| Noguidance(Baseline) | 0.0316 | 20.32 | 0.7934 |\n| Onlystructureguidance | 0.0215 | 21.71 | 0.8671 |","|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["|  | MSE | PSNR | SSIM |\n| --- | --- | --- | --- |\n| Noguidance(Baseline) | 0.0316 | 20.32 | 0.7934 |\n| Onlystructureguidance | 0.0215 | 21.71 | 0.8671 |\n| Onlytextureguidance | 0.0118 | 23.23 | 0.8201 |","| Doubleguidance(trainedseparately) | 0.0059 | 24.78 | 0.9078 |\n| --- | --- | --- | --- |\n| Doubleguidance(ﬁne-tuned) | 0.0051 | 25.07 | 0.9152 |",1]
["|  | MSE | PSNR | SSIM |\n| --- | --- | --- | --- |\n| Noguidance(Baseline) | 0.0316 | 20.32 | 0.7934 |\n| Onlystructureguidance | 0.0215 | 21.71 | 0.8671 |\n| Onlytextureguidance | 0.0118 | 23.23 | 0.8201 |","| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["| Methods | VOC2007<br>16bits32bits48bits64bits | MIRFLICKR25K<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.79630.86960.88650.8929 | 0.47250.52450.54000.5552 |\n| One-Stage | 0.78080.82960.84460.8530 | 0.44130.50960.53920.5550 |\n| ITQ-CCA | 0.77040.80070.81390.8146 | 0.44980.47190.48660.4921 |\n| ITQ | 0.68480.67680.67830.6766 | 0.37340.39340.39660.3982 |","| SH | 0.54040.50130.47960.4697 | 0.30960.30460.29980.2959 |\n| --- | --- | --- |\n| Ours | 0.70650.75900.76740.7731 | 2.67512.83532.89512.9282 |\n| One-Stage | 0.70070.73230.74070.7483 | 2.60832.83022.91412.9642 |\n| ITQ-CCA | 0.64180.66580.67800.6779 | 2.47852.53142.59642.6149 |\n| ITQ | 0.58230.56950.56760.5661 | 2.19642.25682.26502.2747 |\n| SH | 0.45700.42180.40440.3982 | 1.83941.76681.72151.6894 |\n| Ours | 0.79970.86180.87840.8830 | 0.79940.83170.83660.8361 |\n| One-Stage | 0.74880.79950.81710.8259 | 0.77270.80590.81360.8179 |\n| ITQ-CCA | 0.69130.72640.74040.7396 | 0.70150.70530.71740.7254 |\n| ITQ | 0.58450.57470.57690.5741 | 0.68040.68220.67960.6795 |\n| SH | 0.44320.40710.38750.3799 | 0.61740.60570.59940.5952 |\n| Ours | 0.85660.92550.94490.9505 | 2.08772.19262.22712.2294 |\n| One-Stage | 0.80070.85950.87940.8903 | 2.04112.15842.19582.2187 |\n| ITQ-CCA | 0.73250.77250.78790.7866 | 1.73591.75181.79821.8185 |\n| ITQ | 0.62140.61290.61630.6132 | 1.62691.64031.63441.6369 |\n| SH | 0.47230.43420.41370.4051 | 1.40771.35981.33241.3150 |",1]
["| Methods | VOC2007<br>16bits32bits48bits64bits | MIRFLICKR25K<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.79630.86960.88650.8929 | 0.47250.52450.54000.5552 |\n| One-Stage | 0.78080.82960.84460.8530 | 0.44130.50960.53920.5550 |\n| ITQ-CCA | 0.77040.80070.81390.8146 | 0.44980.47190.48660.4921 |\n| ITQ | 0.68480.67680.67830.6766 | 0.37340.39340.39660.3982 |","| Methods | CIFAR-10<br>16bits32bits48bits64bits | NUS-WIDE<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.83370.85550.86470.8690 | 0.74580.77480.78310.7898 |\n| DTH | 0.81670.83840.84920.8532 | 0.73250.75330.76250.7684 |\n| DSH | 0.82320.82680.83700.8327 | 0.71300.71790.71500.7210 |\n| FastH | 0.63570.68100.69930.7097 | 0.71190.73870.75030.7560 |\n| ITQ-CCA | 0.61030.63480.64670.6577 | 0.70260.72200.72680.7297 |\n| KSH | 0.40300.42450.43600.4423 | 0.69780.71360.71470.7175 |\n| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",0]
["| Methods | VOC2007<br>16bits32bits48bits64bits | MIRFLICKR25K<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.79630.86960.88650.8929 | 0.47250.52450.54000.5552 |\n| One-Stage | 0.78080.82960.84460.8530 | 0.44130.50960.53920.5550 |\n| ITQ-CCA | 0.77040.80070.81390.8146 | 0.44980.47190.48660.4921 |\n| ITQ | 0.68480.67680.67830.6766 | 0.37340.39340.39660.3982 |\n| SH | 0.54040.50130.47960.4697 | 0.30960.30460.29980.2959 |\n| Ours | 0.70650.75900.76740.7731 | 2.67512.83532.89512.9282 |\n| One-Stage | 0.70070.73230.74070.7483 | 2.60832.83022.91412.9642 |\n| ITQ-CCA | 0.64180.66580.67800.6779 | 2.47852.53142.59642.6149 |\n| ITQ | 0.58230.56950.56760.5661 | 2.19642.25682.26502.2747 |\n| SH | 0.45700.42180.40440.3982 | 1.83941.76681.72151.6894 |\n| Ours | 0.79970.86180.87840.8830 | 0.79940.83170.83660.8361 |\n| One-Stage | 0.74880.79950.81710.8259 | 0.77270.80590.81360.8179 |\n| ITQ-CCA | 0.69130.72640.74040.7396 | 0.70150.70530.71740.7254 |\n| ITQ | 0.58450.57470.57690.5741 | 0.68040.68220.67960.6795 |","| SH | 0.44320.40710.38750.3799 | 0.61740.60570.59940.5952 |\n| --- | --- | --- |\n| Ours | 0.85660.92550.94490.9505 | 2.08772.19262.22712.2294 |\n| One-Stage | 0.80070.85950.87940.8903 | 2.04112.15842.19582.2187 |\n| ITQ-CCA | 0.73250.77250.78790.7866 | 1.73591.75181.79821.8185 |\n| ITQ | 0.62140.61290.61630.6132 | 1.62691.64031.63441.6369 |\n| SH | 0.47230.43420.41370.4051 | 1.40771.35981.33241.3150 |",1]
["| Methods | VOC2007<br>16bits32bits48bits64bits | MIRFLICKR25K<br>16bits32bits48bits64bits |\n| --- | --- | --- |\n| Ours | 0.79630.86960.88650.8929 | 0.47250.52450.54000.5552 |\n| One-Stage | 0.78080.82960.84460.8530 | 0.44130.50960.53920.5550 |\n| ITQ-CCA | 0.77040.80070.81390.8146 | 0.44980.47190.48660.4921 |\n| ITQ | 0.68480.67680.67830.6766 | 0.37340.39340.39660.3982 |\n| SH | 0.54040.50130.47960.4697 | 0.30960.30460.29980.2959 |\n| Ours | 0.70650.75900.76740.7731 | 2.67512.83532.89512.9282 |\n| One-Stage | 0.70070.73230.74070.7483 | 2.60832.83022.91412.9642 |\n| ITQ-CCA | 0.64180.66580.67800.6779 | 2.47852.53142.59642.6149 |\n| ITQ | 0.58230.56950.56760.5661 | 2.19642.25682.26502.2747 |\n| SH | 0.45700.42180.40440.3982 | 1.83941.76681.72151.6894 |\n| Ours | 0.79970.86180.87840.8830 | 0.79940.83170.83660.8361 |\n| One-Stage | 0.74880.79950.81710.8259 | 0.77270.80590.81360.8179 |\n| ITQ-CCA | 0.69130.72640.74040.7396 | 0.70150.70530.71740.7254 |\n| ITQ | 0.58450.57470.57690.5741 | 0.68040.68220.67960.6795 |","| DTH | 0.81670.83840.84920.8532 | 0.73250.75330.76250.7684 |\n| --- | --- | --- |\n| DSH | 0.82320.82680.83700.8327 | 0.71300.71790.71500.7210 |\n| FastH | 0.63570.68100.69930.7097 | 0.71190.73870.75030.7560 |\n| ITQ-CCA | 0.61030.63480.64670.6577 | 0.70260.72200.72680.7297 |\n| KSH | 0.40300.42450.43600.4423 | 0.69780.71360.71470.7175 |\n| SSH | 0.22130.17900.16560.1587 | 0.49840.46070.44510.4356 |\n| ITQ | 0.29050.31200.32380.3292 | 0.58380.58540.58640.5870 |",0]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.42 | 0.26 |\n| 1.0 | 1.40 | 0.85 |","| 0.3 | 4.01 | 3.65 |\n| --- | --- | --- |\n| 1.0 | 13.45 | 12.15 |",1]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.42 | 0.26 |\n| 1.0 | 1.40 | 0.85 |","| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.40 | 0.22 |\n| 1.0 | 1.32 | 0.73 |\n| 0.3 | 0.70 | 0.88 |\n| 1.0 | 2.76 | 5.67 |",0]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.42 | 0.26 |\n| 1.0 | 1.40 | 0.85 |","| 0.3 | 4.01 | 3.65 |\n| --- | --- | --- |\n| 1.0 | 13.45 | 12.15 |",1]
["| σ | ave | std |\n| --- | --- | --- |\n| 0.3 | 0.42 | 0.26 |\n| 1.0 | 1.40 | 0.85 |","| 1.0 | 1.32 | 0.73 |\n| --- | --- | --- |\n| 0.3 | 0.70 | 0.88 |\n| 1.0 | 2.76 | 5.67 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 25000 | 10000 |\n| 150000 | 15000 | 20000 | 5000 |","| 450000 | 100000 | 200000 | 30000 |\n| --- | --- | --- | --- |\n| 180000 | 80000 | 30000 | 15000 |\n| 45000 | 25000 | 50000 | 80000 |\n| 50000 | 5000 | 10000 | 60000 |\n| 200000 | 20000 | 5000 | 70000 |\n| 70000 | 35000 | 40000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 25000 | 10000 |\n| 150000 | 15000 | 20000 | 5000 |","| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 5000 | 10000 |\n| 150000 | 15000 | 10000 | 5000 |\n| 450000 | 100000 | 20000 | 30000 |\n| 180000 | 80000 | 25000 | 15000 |\n| 45000 | 25000 | 30000 | 80000 |\n| 50000 | 5000 | 40000 | 60000 |\n| 200000 | 20000 | 50000 | 70000 |\n| 70000 | 35000 | 200000 | 100000 |",0]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 25000 | 10000 |\n| 150000 | 15000 | 20000 | 5000 |\n| 450000 | 100000 | 200000 | 30000 |\n| 180000 | 80000 | 30000 | 15000 |\n| 45000 | 25000 | 50000 | 80000 |","| 50000 | 5000 | 10000 | 60000 |\n| --- | --- | --- | --- |\n| 200000 | 20000 | 5000 | 70000 |\n| 70000 | 35000 | 40000 | 100000 |",1]
["| Expected | January | February | March |\n| --- | --- | --- | --- |\n| 35000 | 150000 | 25000 | 10000 |\n| 150000 | 15000 | 20000 | 5000 |\n| 450000 | 100000 | 200000 | 30000 |\n| 180000 | 80000 | 30000 | 15000 |\n| 45000 | 25000 | 50000 | 80000 |","| 180000 | 80000 | 25000 | 15000 |\n| --- | --- | --- | --- |\n| 45000 | 25000 | 30000 | 80000 |\n| 50000 | 5000 | 40000 | 60000 |\n| 200000 | 20000 | 50000 | 70000 |\n| 70000 | 35000 | 200000 | 100000 |",0]
["| Design | Faults | RecoveryTime(us) |\n| --- | --- | --- |\n| IFRCore | Stuck-at(DecodeUnit) | 0.82 |","| IFRCore | Stuck-at(ExecuteUnit) | 1.00 |\n| --- | --- | --- |\n| IFRCore | Delay(DecodeUnit) | 1.20 |\n| IFRCore | Delay(ExecuteUnit | 1.51 |",1]
["| Design | Faults | RecoveryTime(us) |\n| --- | --- | --- |\n| IFRCore | Stuck-at(DecodeUnit) | 0.82 |","|  | L1D | L1I | L2 | L3 |\n| --- | --- | --- | --- | --- |\n| Type | WB | WB | WB | MESICoherent |\n| Size | 32KB | 32KB | 256KB | 12MB |\n| LineSize | 64 | 64 | 64 | 64 |\n| Associative | 8 | 4 | 8 | 16 |\n| Latency | 4 | 2 | 6 | 27 |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",0]
["| Design | Faults | RecoveryTime(us) |\n| --- | --- | --- |\n| IFRCore | Stuck-at(DecodeUnit) | 0.82 |\n| IFRCore | Stuck-at(ExecuteUnit) | 1.00 |","| IFRCore | Delay(DecodeUnit) | 1.20 |\n| --- | --- | --- |\n| IFRCore | Delay(ExecuteUnit | 1.51 |",1]
["| Design | Faults | RecoveryTime(us) |\n| --- | --- | --- |\n| IFRCore | Stuck-at(DecodeUnit) | 0.82 |\n| IFRCore | Stuck-at(ExecuteUnit) | 1.00 |","| Size | 32KB | 32KB | 256KB | 12MB |\n| --- | --- | --- | --- | --- |\n| LineSize | 64 | 64 | 64 | 64 |\n| Associative | 8 | 4 | 8 | 16 |\n| Latency | 4 | 2 | 6 | 27 |\n| ReadPorts | 2 | 2 | 2 | 2 |\n| WritePorts | 1 | 1 | 2 | 2 |\n| Prefetcher | None | None | Testing | None |",0]
["| Method | Accuracy |\n| --- | --- |\n| SCMF | 78.32 |\n| MKL | 67.32 |\n| SSEP | 73.82 |\n| ADPM-227 | 82.14 |\n| ADPM-256 | 83.71 |","| ADPM-384 | 81.91 |\n| --- | --- |\n| Multi-scaleADPM | 84.67 |",1]
["| Method | Accuracy |\n| --- | --- |\n| SCMF | 78.32 |\n| MKL | 67.32 |\n| SSEP | 73.82 |\n| ADPM-227 | 82.14 |\n| ADPM-256 | 83.71 |","| State-of-the-artMethods |  |  |  |\n| --- | --- | --- | --- |\n| Method | Accuracy | Method | Accuracy |\n| SPMK | 74.00 | BoVW | 71.68 |\n| SPCK++ | 77.38 | BRSP | 77.80 |\n| UFL | 90.26 | SC+Pooling | 81.67 |\n| Partlets | 91.33 | PSR | 89.10 |\n| ProposedMethods |  |  |  |\n| Method | Accuracy | Method | Accuracy |\n| ADPM-192 | 92.67 | ADPM-227 | 92.04 |\n| ADPM-256 | 93.52 | Multi-scaleADPM | 94.86 |",0]
["| Method | Accuracy |\n| --- | --- |\n| SCMF | 78.32 |","| MKL | 67.32 |\n| --- | --- |\n| SSEP | 73.82 |\n| ADPM-227 | 82.14 |\n| ADPM-256 | 83.71 |\n| ADPM-384 | 81.91 |\n| Multi-scaleADPM | 84.67 |",1]
["| Method | Accuracy |\n| --- | --- |\n| SCMF | 78.32 |","| ADPM-192 | 92.67 | ADPM-227 | 92.04 |\n| --- | --- | --- | --- |\n| ADPM-256 | 93.52 | Multi-scaleADPM | 94.86 |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| π | 1in5 | Commoninmath |\n| --- | --- | --- |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |","| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |\n| $ | 4in5 | Usedinbusiness |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",1]
["| Non-EnglishorMath | Frequency | Comments |\n| --- | --- | --- |\n| Ø | 1in1,000 | ForSwedishnames |\n| π | 1in5 | Commoninmath |","| $ | 4in5 | Usedinbusiness |\n| --- | --- | --- |\n| Ψ | 1in40,000 | Unexplainedusage |",0]
["| Top1:G | AwA | CUB |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| HM | accs | accu | HM | accs | accu |","| DAP<br>IAP<br>ConSE<br>SynC<br>MFMR | 4.7<br>3.3<br>16.9<br>0.8<br>29.60 | 77.9<br>76.8<br>75.9<br>81.0<br>75.6 | 2.4<br>1.7<br>9.5<br>0.4<br>18.4 | 7.5<br>2.0<br>3.5<br>22.3<br>- | 55.1<br>69.4<br>69.9<br>72.0<br>- | 4.0<br>1.0<br>1.8<br>13.2<br>- |\n| --- | --- | --- | --- | --- | --- | --- |\n| OurGZSL | 50.8 | 43.2 | 61.7 | 29.5 | 23.4 | 39.9 |\n| OurZSL | 76.2 | 44.0 |  |  |  |  |",1]
["| Top1:G | AwA | CUB |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| HM | accs | accu | HM | accs | accu |","| Top1<br>ResNet | SUN | CUB | AWA | aPY |\n| --- | --- | --- | --- | --- |\n| HMaccaccsu | HMaccaccsu | HMaccaccsu | HMaccaccsu |  |\n| DAP<br>CONSE<br>CMT<br>SSE<br>LATEM<br>ALE<br>DEVISE<br>SJE<br>ESZSL<br>SYNC | 7.225.14.2<br>11.639.96.8<br>13.328.08.7<br>4.036.42.1<br>19.528.814.7<br>26.333.121.8<br>20.927.416.9<br>19.830.514.7<br>15.827.911.0<br>13.443.37.9 | 3.367.91.7<br>3.172.21.6<br>8.760.14.7<br>14.446.98.5<br>24.057.315.2<br>34.462.823.7<br>32.853.023.8<br>33.659.223.5<br>21.063.812.6<br>19.870.911.5 | 0.088.70.0<br>0.888.60.4<br>15.386.98.4<br>12.980.57.0<br>13.371.77.3<br>27.576.116.8<br>22.468.713.4<br>19.674.611.3<br>12.175.66.6<br>16.287.38.9 | 9.078.34.8<br>0.091.20.0<br>19.074.210.9<br>0.478.90.2<br>0.273.00.1<br>8.773.74.6<br>9.276.94.9<br>6.955.73.7<br>4.670.12.4<br>13.366.67.4 |\n| OurGZSL | 31.327.835.8 | 43.341.744.9 | 54.568.645.2 | 37.059.526.8 |\n| OurZSL | 49.7 | 53.8 | 52.6 | 39.3 |",0]
["| Top1:G | AwA | CUB |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| HM | accs | accu | HM | accs | accu |","| DAP<br>IAP<br>ConSE<br>SynC<br>MFMR | 4.7<br>3.3<br>16.9<br>0.8<br>29.60 | 77.9<br>76.8<br>75.9<br>81.0<br>75.6 | 2.4<br>1.7<br>9.5<br>0.4<br>18.4 | 7.5<br>2.0<br>3.5<br>22.3<br>- | 55.1<br>69.4<br>69.9<br>72.0<br>- | 4.0<br>1.0<br>1.8<br>13.2<br>- |\n| --- | --- | --- | --- | --- | --- | --- |\n| OurGZSL | 50.8 | 43.2 | 61.7 | 29.5 | 23.4 | 39.9 |\n| OurZSL | 76.2 | 44.0 |  |  |  |  |",1]
["| Top1:G | AwA | CUB |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| HM | accs | accu | HM | accs | accu |","| OurGZSL | 31.327.835.8 | 43.341.744.9 | 54.568.645.2 | 37.059.526.8 |\n| --- | --- | --- | --- | --- |\n| OurZSL | 49.7 | 53.8 | 52.6 | 39.3 |",0]
["| weightfn | ptsnum | BeltramiEquation | generalizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| Example1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 8.127E-06<br>3.554E-06<br>1.728E-06<br>4.039E-06 | 9.158E-04<br>5.182E-04<br>1.379E-04<br>1.045E-04 | 6.658E-04<br>3.708E-04<br>1.632E-04<br>9.305E-05 | 1.610E-01<br>1.286E-01<br>6.291E-02<br>4.055E-02 |","| Example2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.847E-04<br>1.596E-04<br>3.902E-05<br>1.444E-05 | 3.616E-03<br>2.694E-03<br>1.222E-03<br>1.038E-03 | 1.657E-03<br>1.453E-03<br>3.914E-04<br>2.588E-04 | 4.149E-01<br>4.143E-01<br>3.946E-01<br>3.929E-01 |\n| --- | --- | --- | --- | --- | --- |\n| Example3 | 1047<br>1807<br>4132<br>7185 | 1.432E-05<br>9.558E-06<br>6.291E-06<br>4.240E-06 | 2.506E-05<br>1.325E-05<br>7.047E-06<br>5.386E-06 | 2.056E-05<br>1.092E-05<br>5.152E-06<br>3.024E-06 | 3.822E-01<br>3.267E-01<br>3.651E-01<br>3.597E-01 |",1]
["| weightfn | ptsnum | BeltramiEquation | generalizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| Example1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 8.127E-06<br>3.554E-06<br>1.728E-06<br>4.039E-06 | 9.158E-04<br>5.182E-04<br>1.379E-04<br>1.045E-04 | 6.658E-04<br>3.708E-04<br>1.632E-04<br>9.305E-05 | 1.610E-01<br>1.286E-01<br>6.291E-02<br>4.055E-02 |","| No. | ptsnum | BeltramiEquation | GeneralizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| 1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 4.477E-05<br>2.384E-05<br>1.015E-05<br>7.254E-06 | 9.434E-04<br>5.332E-04<br>1.454E-04<br>1.087E-04 | 6.906E-04<br>3.839E-04<br>1.686E-04<br>9.599E-05 | 1.610E-01<br>1.287E-01<br>6.291E-02<br>4.055E-02 |\n| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",0]
["| weightfn | ptsnum | BeltramiEquation | generalizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| Example1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 8.127E-06<br>3.554E-06<br>1.728E-06<br>4.039E-06 | 9.158E-04<br>5.182E-04<br>1.379E-04<br>1.045E-04 | 6.658E-04<br>3.708E-04<br>1.632E-04<br>9.305E-05 | 1.610E-01<br>1.286E-01<br>6.291E-02<br>4.055E-02 |","| Example2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.847E-04<br>1.596E-04<br>3.902E-05<br>1.444E-05 | 3.616E-03<br>2.694E-03<br>1.222E-03<br>1.038E-03 | 1.657E-03<br>1.453E-03<br>3.914E-04<br>2.588E-04 | 4.149E-01<br>4.143E-01<br>3.946E-01<br>3.929E-01 |\n| --- | --- | --- | --- | --- | --- |\n| Example3 | 1047<br>1807<br>4132<br>7185 | 1.432E-05<br>9.558E-06<br>6.291E-06<br>4.240E-06 | 2.506E-05<br>1.325E-05<br>7.047E-06<br>5.386E-06 | 2.056E-05<br>1.092E-05<br>5.152E-06<br>3.024E-06 | 3.822E-01<br>3.267E-01<br>3.651E-01<br>3.597E-01 |",1]
["| weightfn | ptsnum | BeltramiEquation | generalizedLaplace |  |  |\n| --- | --- | --- | --- | --- | --- |\n| collocation | EFG | collocation | EFG |  |  |\n| Example1 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 8.127E-06<br>3.554E-06<br>1.728E-06<br>4.039E-06 | 9.158E-04<br>5.182E-04<br>1.379E-04<br>1.045E-04 | 6.658E-04<br>3.708E-04<br>1.632E-04<br>9.305E-05 | 1.610E-01<br>1.286E-01<br>6.291E-02<br>4.055E-02 |","| 2 | 24<br>2<br>32<br>2<br>48<br>2<br>64 | 2.980E-04<br>1.664E-04<br>4.348E-05<br>1.703E-05 | 3.665E-03<br>2.732E-03<br>1.241E-03<br>1.053E-03 | 1.660E-03<br>1.458E-03<br>3.923E-04<br>2.593E-04 | 4.188E-01<br>4.190E-01<br>3.992E-01<br>3.977E-01 |\n| --- | --- | --- | --- | --- | --- |\n| 3 | 1047<br>1807<br>4132<br>7185 | 9.719E-05<br>7.198E-05<br>5.201E-05<br>3.491E-05 | 9.882E-05<br>5.451E-05<br>2.922E-05<br>2.005E-05 | 1.907E-05<br>1.007E-05<br>4.797E-06<br>2.813E-06 | 1.934E+00<br>1.691E+00<br>2.028E+00<br>1.840E+00 |",0]
["| Query | Algebraoperators |\n| --- | --- |\n| Cooking,Q2 | ,,,FILTERAPPLY+INNERDJOINREDUCE |\n| Grouping | ,,APPLY+INNERDJOINREDUCE |\n| Q1,Q4,Q5 | ,REBOXREDUCE |\n| Q3 | APPLY+ |\n| Q6 | ,,REBOXAPPLY+FILTER |","| Q7 | REBOX |\n| --- | --- |\n| Q8,Q9 | ,REBOXSHIFT |",1]
["| Query | Algebraoperators |\n| --- | --- |\n| Cooking,Q2 | ,,,FILTERAPPLY+INNERDJOINREDUCE |\n| Grouping | ,,APPLY+INNERDJOINREDUCE |\n| Q1,Q4,Q5 | ,REBOXREDUCE |\n| Q3 | APPLY+ |\n| Q6 | ,,REBOXAPPLY+FILTER |","| Conﬁguration | Queryﬁltering | Expansion |\n| --- | --- | --- |\n| Conf(baseline)1 | Original(q) | - |\n| Conf2 | Filtered(q)f | - |\n| Conf3 | Filtered(q)f | NonPersonalized |\n| Conf4 | Filtered(q)f | Personalized |\n| Conf5 | Original(q) | NonPersonalized |\n| Conf6 | Original(q) | Personalized |",0]
["| Query | Algebraoperators |\n| --- | --- |\n| Cooking,Q2 | ,,,FILTERAPPLY+INNERDJOINREDUCE |\n| Grouping | ,,APPLY+INNERDJOINREDUCE |\n| Q1,Q4,Q5 | ,REBOXREDUCE |","| Q3 | APPLY+ |\n| --- | --- |\n| Q6 | ,,REBOXAPPLY+FILTER |\n| Q7 | REBOX |\n| Q8,Q9 | ,REBOXSHIFT |",1]
["| Query | Algebraoperators |\n| --- | --- |\n| Cooking,Q2 | ,,,FILTERAPPLY+INNERDJOINREDUCE |\n| Grouping | ,,APPLY+INNERDJOINREDUCE |\n| Q1,Q4,Q5 | ,REBOXREDUCE |","| Conf3 | Filtered(q)f | NonPersonalized |\n| --- | --- | --- |\n| Conf4 | Filtered(q)f | Personalized |\n| Conf5 | Original(q) | NonPersonalized |\n| Conf6 | Original(q) | Personalized |",0]
["| Pu | AverageCommunicationActsPerformed |  |  |\n| --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |","| 0.2 | 0 | 31.436 | 1.194 | 6.717 |\n| --- | --- | --- | --- | --- |\n| 0.4 | 0 | 18.665 | 1 | 3.904 |\n| 0.6 | 0 | 13.426 | 1 | 2.036 |\n| 0.8 | 0 | 10.292 | 0 | 1.296 |",1]
["| Pu | AverageCommunicationActsPerformed |  |  |\n| --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |","| Pu | AverageCommunicationActsPerformed |  |  |  |\n| --- | --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |  |\n| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["| Pu | AverageCommunicationActsPerformed |  |  |\n| --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |","| 0.2 | 0 | 31.436 | 1.194 | 6.717 |\n| --- | --- | --- | --- | --- |\n| 0.4 | 0 | 18.665 | 1 | 3.904 |\n| 0.6 | 0 | 13.426 | 1 | 2.036 |\n| 0.8 | 0 | 10.292 | 0 | 1.296 |",1]
["| Pu | AverageCommunicationActsPerformed |  |  |\n| --- | --- | --- | --- |\n| No-Comm. | IdealC=0Σ | Comm.SubGoals | Myopic-greedy |","| 0.2 | 0 | 31.436 | 0 | 0.416 |\n| --- | --- | --- | --- | --- |\n| 0.4 | 0 | 18.665 | 0 | 0.417 |\n| 0.6 | 0 | 13.426 | 0 | 0.338 |\n| 0.8 | 0 | 10.292 | 0 | 0.329 |",0]
["| Num.of<br>processes | Launch<br>time(s) |\n| --- | --- |\n| 1K | 0.3-7.5 |\n| 2K | 0.8-10.5 |","| 4K | 3.2-86.7 |\n| --- | --- |\n| 8K | 29.2-87.9 |\n| 16K | 99.3-120.8 |\n| 16K(*) | 15.2-21.6 |",1]
["| Num.of<br>processes | Launch<br>time(s) |\n| --- | --- |\n| 1K | 0.3-7.5 |\n| 2K | 0.8-10.5 |","| RunningTime |\n| --- |\n| 12.86s |\n| 18.22s |\n| 4.20s |\n| 2.55s |",0]
["| Num.of<br>processes | Launch<br>time(s) |\n| --- | --- |\n| 1K | 0.3-7.5 |","| 2K | 0.8-10.5 |\n| --- | --- |\n| 4K | 3.2-86.7 |\n| 8K | 29.2-87.9 |\n| 16K | 99.3-120.8 |\n| 16K(*) | 15.2-21.6 |",1]
["| Num.of<br>processes | Launch<br>time(s) |\n| --- | --- |\n| 1K | 0.3-7.5 |","| 4.20s |\n| --- |\n| 2.55s |",0]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±528.538s |  |\n| 2threads | ±309.707s | 1.7 |\n| 8threads | ±111.968s | 4.7 |\n| 16threads | ±98.1266s | 5.3 |\n| 32threads | ±99.8027s | 5.2 |\n| CUDA | ±168.109s | 3.1 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |","| 1thread | ±1252.35s |  |\n| --- | --- | --- |\n| 2threads | ±540.973s | 2.3 |\n| 8threads | ±181.501s | 6.9 |\n| 16threads | ±131.881s | 9.5 |\n| 32threads | ±131.661s | 9.5 |\n| CUDA | ±84.7718s | 14.8 |",1]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±528.538s |  |\n| 2threads | ±309.707s | 1.7 |\n| 8threads | ±111.968s | 4.7 |\n| 16threads | ±98.1266s | 5.3 |\n| 32threads | ±99.8027s | 5.2 |\n| CUDA | ±168.109s | 3.1 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |","| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±429.539s |  |\n| 2threads | ±224.99s | 1.9 |\n| 8threads | ±93.8716s | 4.6 |\n| 16threads | ±98.3057s | 4.3 |\n| 32threads | ±95.8294s | 4.5 |\n| CUDA | ±98.71s | 4.4 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |\n| 1thread | ±665.74s |  |\n| 2threads | ±355.144s | 1.9 |\n| 8threads | ±158.912s | 4.2 |\n| 16threads | ±121.667s | 5.5 |\n| 32threads | ±122.121s | 5.5 |\n| CUDA | ±107.214s | 6.2 |",0]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±528.538s |  |\n| 2threads | ±309.707s | 1.7 |\n| 8threads | ±111.968s | 4.7 |\n| 16threads | ±98.1266s | 5.3 |\n| 32threads | ±99.8027s | 5.2 |\n| CUDA | ±168.109s | 3.1 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |\n| 1thread | ±1252.35s |  |\n| 2threads | ±540.973s | 2.3 |\n| 8threads | ±181.501s | 6.9 |","| 16threads | ±131.881s | 9.5 |\n| --- | --- | --- |\n| 32threads | ±131.661s | 9.5 |\n| CUDA | ±84.7718s | 14.8 |",1]
["| OS:Linux |  |  |\n| --- | --- | --- |\n| Test | Executiontime | Speedup |\n| 1thread | ±528.538s |  |\n| 2threads | ±309.707s | 1.7 |\n| 8threads | ±111.968s | 4.7 |\n| 16threads | ±98.1266s | 5.3 |\n| 32threads | ±99.8027s | 5.2 |\n| CUDA | ±168.109s | 3.1 |\n| OS:Windows8.1prox64 |  |  |\n| Test | Executiontime | Speedup |\n| 1thread | ±1252.35s |  |\n| 2threads | ±540.973s | 2.3 |\n| 8threads | ±181.501s | 6.9 |","| 16threads | ±121.667s | 5.5 |\n| --- | --- | --- |\n| 32threads | ±122.121s | 5.5 |\n| CUDA | ±107.214s | 6.2 |",0]
["| largeobjects |\n| --- |\n| 0.0090 |\n| 0.0064 |","| 0.0080 |\n| --- |\n| 0.0088 |",1]
["| largeobjects |\n| --- |\n| 0.0090 |\n| 0.0064 |","| Instancetype | Average | stdev | Min | Max | OnDemand |\n| --- | --- | --- | --- | --- | --- |\n| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |\n| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |\n| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |\n| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 |",0]
["| largeobjects |\n| --- |\n| 0.0090 |\n| 0.0064 |","| 0.0080 |\n| --- |\n| 0.0088 |",1]
["| largeobjects |\n| --- |\n| 0.0090 |\n| 0.0064 |","| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |\n| --- | --- | --- | --- | --- | --- |\n| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |\n| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 |",0]
["| Symbol | Meaning |\n| --- | --- |\n| V | thesetofnodes |\n| E | thesetofedges |\n| dc | thesumofthedegreesofnodesincommunityc |\n| W | thesumofalledgeweights |\n| Wc,cij | thesumofweightsofedgesconnectingcommunitiescandcij |","| W | thesumofweightsofedgesinsidecommunityc |\n| --- | --- |\n| W | thesumofweightsofedgeswithoneendpointincommunityc |\n| Wc | theweightofcommunityc,equalto2W+W |\n| C | apartitionofthegraph,formedbyasetofdisjointcommunities |\n| ∆Qc,cij | themodulairychangecausedbyjoiningcommunitiescandcij |\n| we | theweightofedgee |\n| xe | thetopologicalfeaturevectorofedgee |\n| h() | thelossfunction |",1]
["| Symbol | Meaning |\n| --- | --- |\n| V | thesetofnodes |\n| E | thesetofedges |\n| dc | thesumofthedegreesofnodesincommunityc |\n| W | thesumofalledgeweights |\n| Wc,cij | thesumofweightsofedgesconnectingcommunitiescandcij |","| Notation | Description |\n| --- | --- |\n| puv | theprobabilityofedgeeu,v |\n| p(u,v)r | thereachabilityprobabilityfromutov |\n| p(u,v)i | theipathfromutov |\n| ruv | thesumofthepathsfromutov |\n| wu | theweightofnodeu |\n| IVT(u) | theinﬂuencevaluetreeofu |\n| WDT(u) | theweightdiscounttreeofu |\n| Vu | thevalueofnodeu |\n| Wu | thevaluegeneratedbyuinu’sneighborhood |\n| Ou | thesetofsuccessorsofu |\n| Iu | thesetofpredecessorsofu |\n| θ | boundparameterofBWRalgorithm |\n| α | stepswhichinﬂuencecanpropagate |\n| β | performanceboundofBWR |",0]
["| Symbol | Meaning |\n| --- | --- |\n| V | thesetofnodes |\n| E | thesetofedges |\n| dc | thesumofthedegreesofnodesincommunityc |\n| W | thesumofalledgeweights |\n| Wc,cij | thesumofweightsofedgesconnectingcommunitiescandcij |","| W | thesumofweightsofedgesinsidecommunityc |\n| --- | --- |\n| W | thesumofweightsofedgeswithoneendpointincommunityc |\n| Wc | theweightofcommunityc,equalto2W+W |\n| C | apartitionofthegraph,formedbyasetofdisjointcommunities |\n| ∆Qc,cij | themodulairychangecausedbyjoiningcommunitiescandcij |\n| we | theweightofedgee |\n| xe | thetopologicalfeaturevectorofedgee |\n| h() | thelossfunction |",1]
["| Symbol | Meaning |\n| --- | --- |\n| V | thesetofnodes |\n| E | thesetofedges |\n| dc | thesumofthedegreesofnodesincommunityc |\n| W | thesumofalledgeweights |\n| Wc,cij | thesumofweightsofedgesconnectingcommunitiescandcij |","| Ou | thesetofsuccessorsofu |\n| --- | --- |\n| Iu | thesetofpredecessorsofu |\n| θ | boundparameterofBWRalgorithm |\n| α | stepswhichinﬂuencecanpropagate |\n| β | performanceboundofBWR |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |","| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| --- |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |","| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |\n| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",0]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |","| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |\n| --- |\n| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",1]
["| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |\n| --- |\n| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |\n| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |\n| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |","| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |\n| --- |\n| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |\n| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |\n| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |\n| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |\n| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |\n| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |\n| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |\n| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |\n| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |\n| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 |",0]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .641 |","| JHU | .702 | .763 | .632 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-1 | .699 | .782 | .626 |\n| I2R-CCNU-NTU-3 | .694 | .775 | .62 |\n| KSDA | .71 | .807 | .619 |\n| AlexNet | .515 | .763 | .266 |",1]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .641 |","| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .64 |\n| JHU | .71 | .771 | .64 |\n| I2R-CCNU-NTU-1 | .702 | .784 | .63 |\n| I2R-CCNU-NTU-3 | .696 | .776 | .622 |",0]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .641 |\n| JHU | .702 | .763 | .632 |","| I2R-CCNU-NTU-1 | .699 | .782 | .626 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-3 | .694 | .775 | .62 |\n| KSDA | .71 | .807 | .619 |\n| AlexNet | .515 | .763 | .266 |",1]
["| Algorithm | ﬁnalscore↑ | accuracy | Fscore1 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-2 | .729 | .822 | .641 |\n| JHU | .702 | .763 | .632 |","| I2R-CCNU-NTU-1 | .702 | .784 | .63 |\n| --- | --- | --- | --- |\n| I2R-CCNU-NTU-3 | .696 | .776 | .622 |",0]
["| Key<br>Age | Calculated<br>Equilibrium | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109890110 | 0.0110295238±0.0013242152 | 0.0109825070±0.0005826258 | 0.0109803031±0.0003835962 |","| 2 | 0.0132380001 | 0.0132215540±0.0014401913 | 0.0132458671±0.0006504940 | 0.0132260213±0.0004546164 |\n| --- | --- | --- | --- | --- |\n| 3 | 0.0162108987 | 0.0162228928±0.0016968246 | 0.0161892632±0.0007604040 | 0.0161916268±0.0005516735 |\n| 4 | 0.0202345136 | 0.0202062958±0.0019607504 | 0.0202353850±0.0009027583 | 0.0202174129±0.0006767551 |\n| 5 | 0.0258283516 | 0.0259177958±0.0022695870 | 0.0258402714±0.0010973218 | 0.0258078395±0.0008603925 |\n| 6 | 0.0338433436 | 0.0339240307±0.0027397431 | 0.0338269272±0.0013708900 | 0.0338119259±0.0011128289 |\n| 7 | 0.0457090363 | 0.0458778980±0.0034805126 | 0.0457426674±0.0017698065 | 0.0456839344±0.0014981448 |\n| 8 | 0.0638449846 | 0.0640809076±0.0043114573 | 0.0638339146±0.0024221701 | 0.0637959164±0.0020769152 |\n| 9 | 0.0921369579 | 0.0923216211±0.0056647485 | 0.0921366789±0.0034257988 | 0.0920613574±0.0029824930 |\n| 10 | 0.1351848968 | 0.1354930164±0.0077845001 | 0.1351204660±0.0048713224 | 0.1350763809±0.0043471712 |\n| 11 | 0.1893101510 | 0.1891220132±0.0091155314 | 0.1891978863±0.0064652559 | 0.1891614878±0.0060426133 |\n| 12 | 0.2098741222 | 0.2093249217±0.0100319761 | 0.2096149248±0.0071636039 | 0.2097165961±0.0067030989 |\n| 13 | 0.1226847741 | 0.1217393755±0.0111532706 | 0.1223768263±0.0054076900 | 0.1225484444±0.0040878863 |\n| 14 | 0.0205100133 | 0.0201279800±0.0038388175 | 0.0202694291±0.0015550304 | 0.0203358892±0.0007973781 |\n| 15 | 0.0004008004 | 0.0003907662±0.0002525555 | 0.0003878323±0.0000920074 | 0.0003857338±0.0000357398 |\n| 16 | 0.0000001447 | 0.0000004065±0.0000074139 | 0.0000001524±0.0000016004 | 0.0000001291±0.0000005412 |",1]
["| Key<br>Age | Calculated<br>Equilibrium | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109890110 | 0.0110295238±0.0013242152 | 0.0109825070±0.0005826258 | 0.0109803031±0.0003835962 |","| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |\n| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |\n| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |\n| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |\n| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |\n| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |\n| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |\n| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |\n| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |\n| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |\n| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |\n| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |",0]
["| Key<br>Age | Calculated<br>Equilibrium | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109890110 | 0.0110295238±0.0013242152 | 0.0109825070±0.0005826258 | 0.0109803031±0.0003835962 |\n| 2 | 0.0132380001 | 0.0132215540±0.0014401913 | 0.0132458671±0.0006504940 | 0.0132260213±0.0004546164 |\n| 3 | 0.0162108987 | 0.0162228928±0.0016968246 | 0.0161892632±0.0007604040 | 0.0161916268±0.0005516735 |\n| 4 | 0.0202345136 | 0.0202062958±0.0019607504 | 0.0202353850±0.0009027583 | 0.0202174129±0.0006767551 |\n| 5 | 0.0258283516 | 0.0259177958±0.0022695870 | 0.0258402714±0.0010973218 | 0.0258078395±0.0008603925 |\n| 6 | 0.0338433436 | 0.0339240307±0.0027397431 | 0.0338269272±0.0013708900 | 0.0338119259±0.0011128289 |\n| 7 | 0.0457090363 | 0.0458778980±0.0034805126 | 0.0457426674±0.0017698065 | 0.0456839344±0.0014981448 |\n| 8 | 0.0638449846 | 0.0640809076±0.0043114573 | 0.0638339146±0.0024221701 | 0.0637959164±0.0020769152 |\n| 9 | 0.0921369579 | 0.0923216211±0.0056647485 | 0.0921366789±0.0034257988 | 0.0920613574±0.0029824930 |\n| 10 | 0.1351848968 | 0.1354930164±0.0077845001 | 0.1351204660±0.0048713224 | 0.1350763809±0.0043471712 |\n| 11 | 0.1893101510 | 0.1891220132±0.0091155314 | 0.1891978863±0.0064652559 | 0.1891614878±0.0060426133 |","| 12 | 0.2098741222 | 0.2093249217±0.0100319761 | 0.2096149248±0.0071636039 | 0.2097165961±0.0067030989 |\n| --- | --- | --- | --- | --- |\n| 13 | 0.1226847741 | 0.1217393755±0.0111532706 | 0.1223768263±0.0054076900 | 0.1225484444±0.0040878863 |\n| 14 | 0.0205100133 | 0.0201279800±0.0038388175 | 0.0202694291±0.0015550304 | 0.0203358892±0.0007973781 |\n| 15 | 0.0004008004 | 0.0003907662±0.0002525555 | 0.0003878323±0.0000920074 | 0.0003857338±0.0000357398 |\n| 16 | 0.0000001447 | 0.0000004065±0.0000074139 | 0.0000001524±0.0000016004 | 0.0000001291±0.0000005412 |",1]
["| Key<br>Age | Calculated<br>Equilibrium | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109890110 | 0.0110295238±0.0013242152 | 0.0109825070±0.0005826258 | 0.0109803031±0.0003835962 |\n| 2 | 0.0132380001 | 0.0132215540±0.0014401913 | 0.0132458671±0.0006504940 | 0.0132260213±0.0004546164 |\n| 3 | 0.0162108987 | 0.0162228928±0.0016968246 | 0.0161892632±0.0007604040 | 0.0161916268±0.0005516735 |\n| 4 | 0.0202345136 | 0.0202062958±0.0019607504 | 0.0202353850±0.0009027583 | 0.0202174129±0.0006767551 |\n| 5 | 0.0258283516 | 0.0259177958±0.0022695870 | 0.0258402714±0.0010973218 | 0.0258078395±0.0008603925 |\n| 6 | 0.0338433436 | 0.0339240307±0.0027397431 | 0.0338269272±0.0013708900 | 0.0338119259±0.0011128289 |\n| 7 | 0.0457090363 | 0.0458778980±0.0034805126 | 0.0457426674±0.0017698065 | 0.0456839344±0.0014981448 |\n| 8 | 0.0638449846 | 0.0640809076±0.0043114573 | 0.0638339146±0.0024221701 | 0.0637959164±0.0020769152 |\n| 9 | 0.0921369579 | 0.0923216211±0.0056647485 | 0.0921366789±0.0034257988 | 0.0920613574±0.0029824930 |\n| 10 | 0.1351848968 | 0.1354930164±0.0077845001 | 0.1351204660±0.0048713224 | 0.1350763809±0.0043471712 |\n| 11 | 0.1893101510 | 0.1891220132±0.0091155314 | 0.1891978863±0.0064652559 | 0.1891614878±0.0060426133 |","| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |\n| --- | --- | --- | --- | --- |\n| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |\n| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |\n| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |\n| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |\n| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |\n| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |\n| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |\n| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |",0]
["| PathPattern | Question-templates |\n| --- | --- |\n| Universal | “Whatistherofe’sr?”2s1 |\n| “Whatisthee’sr’sr?”s12 |  |\n| “Whatistherofrofe?”21s |  |\n| “Therofe’sr?”2s1 |  |\n| “Thee’sr’sr?”s12 |  |\n| “Therofrofe?”21s |  |\n| Askaboutaperson | “Whoistherofe’sr?”2s1 |\n| “Whatisthenameoftherofe’sr?”2s1 |  |\n| r=r=Parents/21<br>r=r=Children21 | “Whoisthegrand-rofe?”1s |\n| “Whatisthenameofthegrand-rofe?”1s |  |\n| r=Ethnicity2 | “Whatrise’sr”2s1 |\n| “Whatise’sr’srlike?”s12 |  |\n| “Whatise’sr’srabout?”s12 |  |\n| r=Institution2 | “Wheredoese’srwork?”s1 |\n| “Wheredoese’srworkfor?”s1 |  |\n| “Whichrdoese’srworkfor?”2s1 |  |\n| r=Nationality2 | “Whichnationalityise’sr?”s1 |\n| “Wheredoese’srcomefrom?”s1 |  |","| r=Religion2 | “Whatrdoese’srfollow?”2s1 |\n| --- | --- |\n| “Whatrise’sr?”2s1 |  |\n| “Whatrdoese’srhave?”2s1 |  |\n| “Whatrise’srpractice?”2s1 |  |\n| r=Gender2 | “Whatrise’sr?”2s1 |\n| “Ise’sramanorawoman?”s1 |  |\n| r=Location2 | “Whereise’srliving?”s1 |\n| “Whereise’srstaying?”s1 |  |\n| “Pleasetellmee’srpresentaddress.”s1 |  |\n| r=Profession2 | “Whatdoese’srdo?”s1 |\n| “Whatise’srworkingon?”s1 |  |\n| ”Whatise’sr?”s1 |  |\n| “Whatlineofbusinessise’srin?”s1 |  |\n| “Whatdoese’srdoforaliving?”s1 |  |\n| r=CauseofDeath2 | “Whye’srdied?”s1 |\n| “Howedied?”s |  |\n| “What’sthereasonofe’sr’sdeath?”s1 |  |\n| “Whatcausedthedeathofe’sr?”s1 |  |\n| ”Whatkilledthee’sr?”s1 |  |\n| “Whatmadethee’srdead?”s1 |  |\n| “Whatdide’srdiefrom?”s1 |  |\n| r=PlaceofDeath2 | “Wheredide’srdie?”s1 |\n| “Wheredidtherofedie?”1s |  |\n| “Whatcitydide’srdie?”s1 |  |\n| r=PlaceofBirth2 | “Wheredide’srborn?”s1 |\n| “Whatcitydide’srborn?”s1 |  |\n| s1 |  |\n| “Whatise’sr’sbirthplace?”s1 |  |",1]
["| PathPattern | Question-templates |\n| --- | --- |\n| Universal | “Whatistherofe’sr?”2s1 |\n| “Whatisthee’sr’sr?”s12 |  |\n| “Whatistherofrofe?”21s |  |\n| “Therofe’sr?”2s1 |  |\n| “Thee’sr’sr?”s12 |  |\n| “Therofrofe?”21s |  |\n| Askaboutaperson | “Whoistherofe’sr?”2s1 |\n| “Whatisthenameoftherofe’sr?”2s1 |  |\n| r=r=Parents/21<br>r=r=Children21 | “Whoisthegrand-rofe?”1s |\n| “Whatisthenameofthegrand-rofe?”1s |  |\n| r=Ethnicity2 | “Whatrise’sr”2s1 |\n| “Whatise’sr’srlike?”s12 |  |\n| “Whatise’sr’srabout?”s12 |  |\n| r=Institution2 | “Wheredoese’srwork?”s1 |\n| “Wheredoese’srworkfor?”s1 |  |\n| “Whichrdoese’srworkfor?”2s1 |  |\n| r=Nationality2 | “Whichnationalityise’sr?”s1 |\n| “Wheredoese’srcomefrom?”s1 |  |","| # | Question |\n| --- | --- |\n| Q1 | Whichartworksdoyouprefer? |\n| Q2 | Whatisyourpreferenceontheartworks? |\n| Q3 | Whatdidyoubecomeawareofonyourpreference? |\n| Q4 | Whatdidyoubecomeawareofonyourpreference? |\n| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |\n| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |\n| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |\n| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? |",0]
["| PathPattern | Question-templates |\n| --- | --- |\n| Universal | “Whatistherofe’sr?”2s1 |\n| “Whatisthee’sr’sr?”s12 |  |\n| “Whatistherofrofe?”21s |  |\n| “Therofe’sr?”2s1 |  |\n| “Thee’sr’sr?”s12 |  |\n| “Therofrofe?”21s |  |\n| Askaboutaperson | “Whoistherofe’sr?”2s1 |\n| “Whatisthenameoftherofe’sr?”2s1 |  |\n| r=r=Parents/21<br>r=r=Children21 | “Whoisthegrand-rofe?”1s |","| “Whatisthenameofthegrand-rofe?”1s |  |\n| --- | --- |\n| r=Ethnicity2 | “Whatrise’sr”2s1 |\n| “Whatise’sr’srlike?”s12 |  |\n| “Whatise’sr’srabout?”s12 |  |\n| r=Institution2 | “Wheredoese’srwork?”s1 |\n| “Wheredoese’srworkfor?”s1 |  |\n| “Whichrdoese’srworkfor?”2s1 |  |\n| r=Nationality2 | “Whichnationalityise’sr?”s1 |\n| “Wheredoese’srcomefrom?”s1 |  |\n| r=Religion2 | “Whatrdoese’srfollow?”2s1 |\n| “Whatrise’sr?”2s1 |  |\n| “Whatrdoese’srhave?”2s1 |  |\n| “Whatrise’srpractice?”2s1 |  |\n| r=Gender2 | “Whatrise’sr?”2s1 |\n| “Ise’sramanorawoman?”s1 |  |\n| r=Location2 | “Whereise’srliving?”s1 |\n| “Whereise’srstaying?”s1 |  |\n| “Pleasetellmee’srpresentaddress.”s1 |  |\n| r=Profession2 | “Whatdoese’srdo?”s1 |\n| “Whatise’srworkingon?”s1 |  |\n| ”Whatise’sr?”s1 |  |\n| “Whatlineofbusinessise’srin?”s1 |  |\n| “Whatdoese’srdoforaliving?”s1 |  |\n| r=CauseofDeath2 | “Whye’srdied?”s1 |\n| “Howedied?”s |  |\n| “What’sthereasonofe’sr’sdeath?”s1 |  |\n| “Whatcausedthedeathofe’sr?”s1 |  |\n| ”Whatkilledthee’sr?”s1 |  |\n| “Whatmadethee’srdead?”s1 |  |\n| “Whatdide’srdiefrom?”s1 |  |\n| r=PlaceofDeath2 | “Wheredide’srdie?”s1 |\n| “Wheredidtherofedie?”1s |  |\n| “Whatcitydide’srdie?”s1 |  |\n| r=PlaceofBirth2 | “Wheredide’srborn?”s1 |\n| “Whatcitydide’srborn?”s1 |  |\n| s1 |  |\n| “Whatise’sr’sbirthplace?”s1 |  |",1]
["| PathPattern | Question-templates |\n| --- | --- |\n| Universal | “Whatistherofe’sr?”2s1 |\n| “Whatisthee’sr’sr?”s12 |  |\n| “Whatistherofrofe?”21s |  |\n| “Therofe’sr?”2s1 |  |\n| “Thee’sr’sr?”s12 |  |\n| “Therofrofe?”21s |  |\n| Askaboutaperson | “Whoistherofe’sr?”2s1 |\n| “Whatisthenameoftherofe’sr?”2s1 |  |\n| r=r=Parents/21<br>r=r=Children21 | “Whoisthegrand-rofe?”1s |","| Q4 | Whatdidyoubecomeawareofonyourpreference? |\n| --- | --- |\n| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |\n| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |\n| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |\n| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? |",0]
["|  |  |\n| --- | --- |\n|  |  |","| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |\n| --- | --- | --- |\n| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",1]
["|  |  |\n| --- | --- |\n|  |  |","| - | - |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |","| total | 0,80×100,46×100,58×10 | 31,15×1019,62×1010,16×10 |\n| --- | --- | --- |\n| DBLP | Netﬂix |  |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,79×102370,55×10<br>66<br>2,62×10424070,97×10<br>666<br>3,27×101,61×101,61×10 | 15,54×1025612,47×10<br>966<br>0,19×100,14×1020,30×10<br>966<br>0,20×1044,52×100,92×10 |\n| total | 6,68×101,61×102,13×10 | 0,39×1044,66×1033,69×10 |",1]
["|  |  |  |\n| --- | --- | --- |\n|  |  |  |\n| d1<br>d2<br>d3 | 0,27×104480,25×10<br>291761203628673<br>666<br>0,50×100,45×100,30×10 | 2,58×10752,58×10<br>66<br>4,12×103474,11×10<br>666<br>24,45×1019,62×103,46×10 |","| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| --- | --- |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| 3x3<br>3x3<br>2x2<br>3x3 | 1<br>1<br>2<br>1 |\n| - | - |",0]
["| TaxiBJ |\n| --- |\n| 57.69<br>22.78<br>26.88<br>22.88<br>19.57<br>18.18 |\n| 23.42<br>23.80<br>32.21<br>38.66<br>46.41<br>39.10 |\n| 22.90<br>20.62<br>23.93<br>21.97<br>23.02<br>31.13 |","| 22.63<br>20.85<br>20.46<br>20.24<br>21.37<br>31.34 |\n| --- |\n| 16.89(12residualunits)<br>17.00(12residualunits) |",1]
["| TaxiBJ |\n| --- |\n| 57.69<br>22.78<br>26.88<br>22.88<br>19.57<br>18.18 |\n| 23.42<br>23.80<br>32.21<br>38.66<br>46.41<br>39.10 |\n| 22.90<br>20.62<br>23.93<br>21.97<br>23.02<br>31.13 |","| FRITESDE |\n| --- |\n| 65.8358.2059.7952.84 |\n| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| TaxiBJ |\n| --- |\n| 57.69<br>22.78<br>26.88<br>22.88<br>19.57<br>18.18 |","| 23.42<br>23.80<br>32.21<br>38.66<br>46.41<br>39.10 |\n| --- |\n| 22.90<br>20.62<br>23.93<br>21.97<br>23.02<br>31.13 |\n| 22.63<br>20.85<br>20.46<br>20.24<br>21.37<br>31.34 |\n| 16.89(12residualunits)<br>17.00(12residualunits) |",1]
["| TaxiBJ |\n| --- |\n| 57.69<br>22.78<br>26.88<br>22.88<br>19.57<br>18.18 |","| 65.97---<br>65.2257.9860.6153.55<br>65.4858.2059.97- |\n| --- |\n| 67.5157.9060.6353.28<br>67.4858.1360.9952.81<br>66.4757.5860.4953.91<br>66.9858.2760.7054.80 |\n| 67.3858.3560.6153.24<br>66.8758.2560.6352.26<br>66.3358.1460.6155.00<br>66.6258.3160.3956.88 |\n| 67.8058.2861.1353.67<br>67.7758.7661.0054.07<br>66.9258.0960.6953.19<br>66.7358.4261.0255.23 |",0]
["| V3 | V2 | V1 |\n| --- | --- | --- |\n| 54.5 | - | - |\n| 76.0 | - | - |\n| 74.2 | - | - |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |","| 90.7 | 87.5 | 74.0 |\n| --- | --- | --- |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",1]
["| V3 | V2 | V1 |\n| --- | --- | --- |\n| 54.5 | - | - |\n| 76.0 | - | - |\n| 74.2 | - | - |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |","| YTO |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| Y | A→Y | V→Y | V | A→V |\n| 40.6 | 40.8 | 45.8 | 57.5 | 58.1 |\n| 39.8 | 40.3 | 38.8 | 29.8 | 30.5 |\n| 33.3 | 33.4 | 38.8 | 28.0 | 27.9 |\n| 34.1 | 33.9 | 33.6 | 39.1 | 39.1 |\n| 35.3 | 35.3 | 38.8 | 59.0 | 59.3 |\n| 18.9 | 19.0 | 27.7 | 36.7 | 36.9 |\n| 27.0 | 27.1 | 26.7 | 46.5 | 47.4 |\n| 21.9 | 22.1 | 26.1 | 53.2 | 53.5 |\n| 17.6 | 17.9 | 17.5 | 55.6 | 55.2 |\n| 32.6 | 32.6 | 36.2 | 54.7 | 54.5 |\n| 30.1 | 30.2 | 33.0 | 46.0 | 46.2 |",0]
["| V3 | V2 | V1 |\n| --- | --- | --- |\n| 54.5 | - | - |\n| 76.0 | - | - |\n| 74.2 | - | - |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |","| 90.7 | 87.5 | 74.0 |\n| --- | --- | --- |\n| 93.3 | 85.9 | 77.9 |\n| 93.8 | 86.3 | 79.7 |\n| 95.3 | 88.7 | 80.2 |",1]
["| V3 | V2 | V1 |\n| --- | --- | --- |\n| 54.5 | - | - |\n| 76.0 | - | - |\n| 74.2 | - | - |\n| 78.5 | 83.5 | 79.3 |\n| 92.6 | - | - |\n| 87.5 | 84.1 | 70.9 |","| 18.9 | 19.0 | 27.7 | 36.7 | 36.9 |\n| --- | --- | --- | --- | --- |\n| 27.0 | 27.1 | 26.7 | 46.5 | 47.4 |\n| 21.9 | 22.1 | 26.1 | 53.2 | 53.5 |\n| 17.6 | 17.9 | 17.5 | 55.6 | 55.2 |\n| 32.6 | 32.6 | 36.2 | 54.7 | 54.5 |\n| 30.1 | 30.2 | 33.0 | 46.0 | 46.2 |",0]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |","| Ours | 89.87 | 97.57 | 89.98 | 107.87 | 107.31 | 93.56 | 136.09 | 133.14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",1]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |","| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Yasin | 60.0 | 54.7 | 71.6 | 67.5 | 63.8 | 61.9 | 55.7 | 73.9 |\n| X\\|gt(Ours) | 53.27 | 46.75 | 58.63 | 61.21 | 55.98 | 58.13 | 48.85 | 55.60 |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |\n| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |\n| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 |",0]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |\n| Ours | 89.87 | 97.57 | 89.98 | 107.87 | 107.31 | 93.56 | 136.09 | 133.14 |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |","| Zhou<br>Tekin | 107.42<br>118.42 | 139.46<br>182.73 | 118.09<br>138.75 | 79.39<br>55.07 | 114.23<br>126.29 | 97.70<br>65.76 | 113.01<br>124.97 | -<br>- |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours | 106.65 | 139.17 | 106.21 | 87.03 | 114.05 | 90.55 | 114.18 | 93.05 |",1]
["| Method | Direction | Discuss | Eat | Greet | Phone | Pose | Purchase | Sit |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhou<br>Tekin | 87.36<br>102.41 | 109.31<br>147.72 | 87.05<br>88.83 | 103.16<br>125.38 | 116.18<br>118.02 | 106.88<br>112.38 | 99.78<br>129.17 | 124.52<br>138.89 |\n| Ours | 89.87 | 97.57 | 89.98 | 107.87 | 107.31 | 93.56 | 136.09 | 133.14 |\n| Method | Smoke | Photo | Wait | Walk | WalkDog | WalkPair | Avg. | Median |","| Yasin | 78.9 | 96.9 | 67.9 | 47.5 | 89.3 | 53.4 | 70.5 | - |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Ours | 60.25 | 76.05 | 62.19 | 35.76 | 61.93 | 51.08 | 57.50 | 51.93 |",0]
["| Inputsourceneuron | Comparison | P-value |\n| --- | --- | --- |\n| IRsensor | HPvs.PEO-PANI | 0.033 |\n|  | HPvs.LINEAR | 0.074 |\n|  | PEOvs.LINEAR | 0.933 |","| Lightsensor | HPvs.PEO-PANI | 1 |\n| --- | --- | --- |\n|  | HPvs.LINEAR | 0.379 |\n|  | PEOvs.LINEAR | 0.410 |",1]
["| Inputsourceneuron | Comparison | P-value |\n| --- | --- | --- |\n| IRsensor | HPvs.PEO-PANI | 0.033 |\n|  | HPvs.LINEAR | 0.074 |\n|  | PEOvs.LINEAR | 0.933 |","| Memristorposition | Comparison | P-value |\n| --- | --- | --- |\n| Input-hidden | HPvs.PEO-PANI | 0.710 |\n|  | HPvs.LINEAR | 0.543 |\n|  | PEOvs.LINEAR | 0.339 |\n| Hidden-hidden | HPvs.PEO-PANI | 0.482 |\n|  | HPvs.LINEAR | 0.045 |\n|  | PEOvs.LINEAR | 0.012 |\n| Hidden-Output | HPvs.PEO-PANI | 0.04 |\n|  | HPvs.LINEAR | 0.079 |\n|  | PEOvs.LINEAR | 0.839 |",0]
["| Inputsourceneuron | Comparison | P-value |\n| --- | --- | --- |\n| IRsensor | HPvs.PEO-PANI | 0.033 |\n|  | HPvs.LINEAR | 0.074 |","|  | PEOvs.LINEAR | 0.933 |\n| --- | --- | --- |\n| Lightsensor | HPvs.PEO-PANI | 1 |\n|  | HPvs.LINEAR | 0.379 |\n|  | PEOvs.LINEAR | 0.410 |",1]
["| Inputsourceneuron | Comparison | P-value |\n| --- | --- | --- |\n| IRsensor | HPvs.PEO-PANI | 0.033 |\n|  | HPvs.LINEAR | 0.074 |","|  | HPvs.LINEAR | 0.045 |\n| --- | --- | --- |\n|  | PEOvs.LINEAR | 0.012 |\n| Hidden-Output | HPvs.PEO-PANI | 0.04 |\n|  | HPvs.LINEAR | 0.079 |\n|  | PEOvs.LINEAR | 0.839 |",0]
["| VarietyX | dim | lineality | f-vector | multiplicities |\n| --- | --- | --- | --- | --- |\n| FinExample?? | 7 | 4 | (9,18,15) | 115 |\n| EinExample?? | 5 | 0 | (591,4506,12588,15102,6498) | 2,4642672 |","| GinExample?? | 6 | 1 | (32,213,603,780,390) | 1,233654 |\n| --- | --- | --- | --- | --- |\n| GinExample?? | 6 | 1 | (100,746,2158,2800,1380) | 1,2,48005728 |",1]
["| VarietyX | dim | lineality | f-vector | multiplicities |\n| --- | --- | --- | --- | --- |\n| FinExample?? | 7 | 4 | (9,18,15) | 115 |\n| EinExample?? | 5 | 0 | (591,4506,12588,15102,6498) | 2,4642672 |","| σ=20 | σ=30 | σ=40 | σ=50 |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| face | text | face | text | face | text | face | text |  |\n| BM3D | 31.88 | 28.13 | 29.64 | 24.95 | 27.57 | 22.55 | 26.98 | 20.91 |\n| EPLL(generic) | 31.66 | 28.15 | 29.43 | 25.21 | 27.74 | 23.15 | 26.58 | 21.72 |\n| ClassadaptedEPLL | 32.34 | 29.23 | 30.16 | 26.39 | 28.49 | 24.40 | 27.28 | 23.01 |\n| ExternalNon-localmeans | 31.81 | 25.93 | 30.08 | 25.27 | 28.75 | 23.90 | 27.48 | 22.50 |\n| Luoet.al. | 32.98 | 27.52 | 30.89 | 27.44 | 29.24 | 26.29 | 28.01 | 25.02 |\n| Proposedmethod(Gaussian) | 32.63 | 30.12 | 30.79 | 27.81 | 29.11 | 26.41 | 27.75 | 25.22 |\n| Proposedmethod(GG) | 33.09 | 30.93 | 30.99 | 28.20 | 29.48 | 26.75 | 28.08 | 25.79 |",0]
["| VarietyX | dim | lineality | f-vector | multiplicities |\n| --- | --- | --- | --- | --- |\n| FinExample?? | 7 | 4 | (9,18,15) | 115 |\n| EinExample?? | 5 | 0 | (591,4506,12588,15102,6498) | 2,4642672 |","| GinExample?? | 6 | 1 | (32,213,603,780,390) | 1,233654 |\n| --- | --- | --- | --- | --- |\n| GinExample?? | 6 | 1 | (100,746,2158,2800,1380) | 1,2,48005728 |",1]
["| VarietyX | dim | lineality | f-vector | multiplicities |\n| --- | --- | --- | --- | --- |\n| FinExample?? | 7 | 4 | (9,18,15) | 115 |\n| EinExample?? | 5 | 0 | (591,4506,12588,15102,6498) | 2,4642672 |","| BM3D | 31.88 | 28.13 | 29.64 | 24.95 | 27.57 | 22.55 | 26.98 | 20.91 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| EPLL(generic) | 31.66 | 28.15 | 29.43 | 25.21 | 27.74 | 23.15 | 26.58 | 21.72 |\n| ClassadaptedEPLL | 32.34 | 29.23 | 30.16 | 26.39 | 28.49 | 24.40 | 27.28 | 23.01 |\n| ExternalNon-localmeans | 31.81 | 25.93 | 30.08 | 25.27 | 28.75 | 23.90 | 27.48 | 22.50 |\n| Luoet.al. | 32.98 | 27.52 | 30.89 | 27.44 | 29.24 | 26.29 | 28.01 | 25.02 |\n| Proposedmethod(Gaussian) | 32.63 | 30.12 | 30.79 | 27.81 | 29.11 | 26.41 | 27.75 | 25.22 |\n| Proposedmethod(GG) | 33.09 | 30.93 | 30.99 | 28.20 | 29.48 | 26.75 | 28.08 | 25.79 |",0]
["| 0.514820.507300.66667 |\n| --- |\n| 0.393340.633500.72000 |\n| 0.322950.787800.82136 |\n| 0.294710.900400.90263 |\n| 0.280330.945300.95115 |\n| 0.277990.976800.97605 |\n| 0.266880.988600.98821 |\n| 0.271640.995600.99415 |\n| 0.264130.997100.99708 |\n| 0.261700.998200.99854 |\n| 0.268290.999400.99927 |\n| 0.274070.999700.99964 |\n| 0.271630.999900.99982 |\n| 0.262531.000000.99991 |\n| 0.269410.999900.99995 |\n| 0.269421.000000.99998 |\n| 0.270411.000000.99999 |\n| 0.271301.000000.99999 |\n| 0.267341.000001.00000 |\n| 0.264631.000001.00000 |\n| 0.276521.000001.00000 |\n| 0.265691.000001.00000 |","| 0.270301.000001.00000 |\n| --- |\n| 0.266371.000001.00000 |\n| 0.267241.000001.00000 |\n| 0.269501.000001.00000 |\n| 0.273831.000001.00000 |\n| 0.277571.000001.00000 |\n| 0.280121.000001.00000 |\n| 0.274241.000001.00000 |\n| ??≈1 |",1]
["| 0.514820.507300.66667 |\n| --- |\n| 0.393340.633500.72000 |\n| 0.322950.787800.82136 |\n| 0.294710.900400.90263 |\n| 0.280330.945300.95115 |\n| 0.277990.976800.97605 |\n| 0.266880.988600.98821 |\n| 0.271640.995600.99415 |\n| 0.264130.997100.99708 |\n| 0.261700.998200.99854 |\n| 0.268290.999400.99927 |\n| 0.274070.999700.99964 |\n| 0.271630.999900.99982 |\n| 0.262531.000000.99991 |\n| 0.269410.999900.99995 |\n| 0.269421.000000.99998 |\n| 0.270411.000000.99999 |\n| 0.271301.000000.99999 |\n| 0.267341.000001.00000 |\n| 0.264631.000001.00000 |\n| 0.276521.000001.00000 |\n| 0.265691.000001.00000 |","| 200 | 400 | 600 | 800 |\n| --- | --- | --- | --- |\n| 0.965 | 0.967 | 0.967 | 0.967 |\n| 0.968 | 0.970 | 0.970 | 0.968 |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["| 0.514820.507300.66667 |\n| --- |\n| 0.393340.633500.72000 |\n| 0.322950.787800.82136 |\n| 0.294710.900400.90263 |\n| 0.280330.945300.95115 |\n| 0.277990.976800.97605 |\n| 0.266880.988600.98821 |\n| 0.271640.995600.99415 |\n| 0.264130.997100.99708 |\n| 0.261700.998200.99854 |\n| 0.268290.999400.99927 |\n| 0.274070.999700.99964 |\n| 0.271630.999900.99982 |\n| 0.262531.000000.99991 |\n| 0.269410.999900.99995 |\n| 0.269421.000000.99998 |\n| 0.270411.000000.99999 |\n| 0.271301.000000.99999 |\n| 0.267341.000001.00000 |\n| 0.264631.000001.00000 |\n| 0.276521.000001.00000 |\n| 0.265691.000001.00000 |\n| 0.270301.000001.00000 |\n| 0.266371.000001.00000 |\n| 0.267241.000001.00000 |\n| 0.269501.000001.00000 |\n| 0.273831.000001.00000 |\n| 0.277571.000001.00000 |","| 0.280121.000001.00000 |\n| --- |\n| 0.274241.000001.00000 |\n| ??≈1 |",1]
["| 0.514820.507300.66667 |\n| --- |\n| 0.393340.633500.72000 |\n| 0.322950.787800.82136 |\n| 0.294710.900400.90263 |\n| 0.280330.945300.95115 |\n| 0.277990.976800.97605 |\n| 0.266880.988600.98821 |\n| 0.271640.995600.99415 |\n| 0.264130.997100.99708 |\n| 0.261700.998200.99854 |\n| 0.268290.999400.99927 |\n| 0.274070.999700.99964 |\n| 0.271630.999900.99982 |\n| 0.262531.000000.99991 |\n| 0.269410.999900.99995 |\n| 0.269421.000000.99998 |\n| 0.270411.000000.99999 |\n| 0.271301.000000.99999 |\n| 0.267341.000001.00000 |\n| 0.264631.000001.00000 |\n| 0.276521.000001.00000 |\n| 0.265691.000001.00000 |\n| 0.270301.000001.00000 |\n| 0.266371.000001.00000 |\n| 0.267241.000001.00000 |\n| 0.269501.000001.00000 |\n| 0.273831.000001.00000 |\n| 0.277571.000001.00000 |","| 0.968 | 0.970 | 0.970 | 0.968 |\n| --- | --- | --- | --- |\n| 0.968 | 0.968 | 0.967 | 0.968 |\n| 0.969 | 0.972 | 0.970 | 0.969 |\n| 0.831 | 0.842 | 0.845 | 0.846 |\n| 0.846 | 0.851 | 0.852 | 0.853 |\n| 0.842 | 0.849 | 0.854 | 0.849 |\n| 0.876 | 0.874 | 0.866 | 0.868 |\n| 0.658 | 0.650 | 0.654 | 0.655 |\n| 0.712 | 0.705 | 0.701 | 0.702 |\n| 0.680 | 0.690 | 0.694 | 0.695 |\n| 0.715 | 0.709 | 0.714 | 0.715 |",0]
["| CCR | RLR |\n| --- | --- |\n| 1e-6 | ≈1e6 |\n| 1e-3 | 1001 |\n| 0.01 | 101 |","| 0.1 | 11 |\n| --- | --- |\n| 1 | 2 |\n| 1e3 | 1.001 |\n| 1e6 | 1.000001 |",1]
["| CCR | RLR |\n| --- | --- |\n| 1e-6 | ≈1e6 |\n| 1e-3 | 1001 |\n| 0.01 | 101 |","| 1E | 2E | 4E |\n| --- | --- | --- |\n| 1 | 2 | 4 |\n| 50 | 25 | 12.5 |\n| 24 | 12 | 6 |\n| 1 | 1 | 1 |\n| 5 | 5 | 5 |",0]
["| CCR | RLR |\n| --- | --- |\n| 1e-6 | ≈1e6 |\n| 1e-3 | 1001 |","| 0.01 | 101 |\n| --- | --- |\n| 0.1 | 11 |\n| 1 | 2 |\n| 1e3 | 1.001 |\n| 1e6 | 1.000001 |",1]
["| CCR | RLR |\n| --- | --- |\n| 1e-6 | ≈1e6 |\n| 1e-3 | 1001 |","| 1 | 1 | 1 |\n| --- | --- | --- |\n| 5 | 5 | 5 |",0]
["| 2.36 | 2.10 |\n| --- | --- |\n| 3.02 | 2.93 |\n| 3.17 | 2.69 |","| 3.90 | 3.62 |\n| --- | --- |\n| 3.86 | 3.81 |\n| 1.67 | 1.67 |",1]
["| 2.36 | 2.10 |\n| --- | --- |\n| 3.02 | 2.93 |\n| 3.17 | 2.69 |","| 1 | 5 |\n| --- | --- |\n| 4.19 | 3.85 |\n| 7.18 | 5.69 |\n| 2.91 | 2.72 |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",0]
["| 2.36 | 2.10 |\n| --- | --- |\n| 3.02 | 2.93 |","| 3.17 | 2.69 |\n| --- | --- |\n| 3.90 | 3.62 |\n| 3.86 | 3.81 |\n| 1.67 | 1.67 |",1]
["| 2.36 | 2.10 |\n| --- | --- |\n| 3.02 | 2.93 |","| 2.91 | 2.72 |\n| --- | --- |\n| 2.41 | 2.23 |\n| 0.67 | 0.38 |",0]
["| peak-type | c | num.ofpeaks | num.ofarticles |\n| --- | --- | --- | --- |\n| comment | 5<br>10<br>20 | 2,580<br>288<br>30 | 1,198<br>195<br>21 |","| edit | 5<br>10<br>20 | 32,853<br>4,944<br>706 | 20,681<br>4,004<br>631 |\n| --- | --- | --- | --- |\n| overlap<br>sameday | 5<br>10<br>20 | 307<br>44<br>7 | 59<br>8<br>3 |\n| overlap<br>±1day | 5<br>10<br>20 | 703<br>94<br>15 | 385<br>52<br>10 |\n| overlap<br>±2days | 5<br>10<br>20 | 871<br>121<br>19 | 406<br>54<br>11 |",1]
["| peak-type | c | num.ofpeaks | num.ofarticles |\n| --- | --- | --- | --- |\n| comment | 5<br>10<br>20 | 2,580<br>288<br>30 | 1,198<br>195<br>21 |","| 8<br>4<br>2 | 895542<br>1791084<br>3582168 | 934040<br>1808784<br>3585869 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 3203546<br>6407091<br>7<br>1.2814·10 | 3219769<br>6427398<br>7<br>1.2827·10 |\n| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| peak-type | c | num.ofpeaks | num.ofarticles |\n| --- | --- | --- | --- |\n| comment | 5<br>10<br>20 | 2,580<br>288<br>30 | 1,198<br>195<br>21 |\n| edit | 5<br>10<br>20 | 32,853<br>4,944<br>706 | 20,681<br>4,004<br>631 |\n| overlap<br>sameday | 5<br>10<br>20 | 307<br>44<br>7 | 59<br>8<br>3 |","| overlap<br>±1day | 5<br>10<br>20 | 703<br>94<br>15 | 385<br>52<br>10 |\n| --- | --- | --- | --- |\n| overlap<br>±2days | 5<br>10<br>20 | 871<br>121<br>19 | 406<br>54<br>11 |",1]
["| peak-type | c | num.ofpeaks | num.ofarticles |\n| --- | --- | --- | --- |\n| comment | 5<br>10<br>20 | 2,580<br>288<br>30 | 1,198<br>195<br>21 |\n| edit | 5<br>10<br>20 | 32,853<br>4,944<br>706 | 20,681<br>4,004<br>631 |\n| overlap<br>sameday | 5<br>10<br>20 | 307<br>44<br>7 | 59<br>8<br>3 |","| 8<br>4<br>2 | 8.928·10<br>9<br>1.7856·10<br>9<br>3.5712·10 | 8.9394·10<br>9<br>1.7871·10<br>9<br>3.573·10 |\n| --- | --- | --- |\n| 8<br>4<br>2 | 1.2497·10<br>9<br>2.4995·10<br>9<br>4.9989·10 | 1.251·10<br>9<br>2.5005·10<br>9<br>4.9995·10 |\n| 8 | 6.4582·10 | 6.4651·10 |",0]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:2,Stridesize:1,featuremaps:26 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:82 |\n| conv | Filtersize:8,Stridesize:4,featuremaps:114 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:107 |","| full | Neurons:1686 |\n| --- | --- |\n| full | Neurons:10 |",1]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:2,Stridesize:1,featuremaps:26 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:82 |\n| conv | Filtersize:8,Stridesize:4,featuremaps:114 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:107 |","| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:1,Stridesize:1,featuremaps:11 |\n| conv | Filtersize:7,Stridesize:4,featuremaps:108 |\n| conv | Filtersize:1,Stridesize:1,featuremaps:8 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:92 |\n| full | Neurons:906 |\n| full | Neurons:2 |",0]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:2,Stridesize:1,featuremaps:26 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:82 |\n| conv | Filtersize:8,Stridesize:4,featuremaps:114 |","| conv | Filtersize:7,Stridesize:4,featuremaps:107 |\n| --- | --- |\n| full | Neurons:1686 |\n| full | Neurons:10 |",1]
["| Layertype | Conﬁguration |\n| --- | --- |\n| conv | Filtersize:2,Stridesize:1,featuremaps:26 |\n| conv | Filtersize:6,Stridesize:3,featuremaps:82 |\n| conv | Filtersize:8,Stridesize:4,featuremaps:114 |","| conv | Filtersize:1,Stridesize:1,featuremaps:8 |\n| --- | --- |\n| conv | Filtersize:6,Stridesize:3,featuremaps:92 |\n| full | Neurons:906 |\n| full | Neurons:2 |",0]
["| Blocktype<br>&repetition | Input<br>channel | Output<br>channel | Stride | g1 | g2 |\n| --- | --- | --- | --- | --- | --- |\n| Regular3x3conv | 3 | 32 | 2 |  |  |\n| BatchNorm+ReLU |  |  |  |  |  |\n| CLCblock | 32 | 64 | 1 | 16 | 2 |\n| CLCblock | 64 | 128 | 2 | 32 | 2 |\n| CLCblock×a | 128 | 128 | 1 | 64 | 2 |\n| CLCblock | 128 | 256 | 2 | 64 | 2 |\n| CLCblock×b | 256 | 256 | 1 | 128 | 2 |\n| CLCblock | 256 | 512 | 2 | 128 | 2 |","| CLCblock×c | 512 | 512 | 1 | 256 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| CLCblock | 512 | 1024 | 2 | 256 | 2 |\n| CLCblock×d | 1024 | 1024 | 1 | 512 | 2 |\n| AveragePooling |  |  |  |  |  |\n| FClayer | 1024 | 1000 |  |  |  |",1]
["| Blocktype<br>&repetition | Input<br>channel | Output<br>channel | Stride | g1 | g2 |\n| --- | --- | --- | --- | --- | --- |\n| Regular3x3conv | 3 | 32 | 2 |  |  |\n| BatchNorm+ReLU |  |  |  |  |  |\n| CLCblock | 32 | 64 | 1 | 16 | 2 |\n| CLCblock | 64 | 128 | 2 | 32 | 2 |\n| CLCblock×a | 128 | 128 | 1 | 64 | 2 |\n| CLCblock | 128 | 256 | 2 | 64 | 2 |\n| CLCblock×b | 256 | 256 | 1 | 128 | 2 |\n| CLCblock | 256 | 512 | 2 | 128 | 2 |","| Layer | Filter/Stride | #Channel | #Filter |\n| --- | --- | --- | --- |\n| Conv11 | 3×3/1 | 1 | 32 |\n| Conv12 | 3×3/1 | 32 | 64 |\n| MaxPool | 2×2/2 | 64 | – |\n| Conv21 | 3×3/1 | 64 | 64 |\n| Conv22 | 3×3/1 | 64 | 128 |\n| MaxPool | 2×2/2 | 128 | – |\n| Conv31 | 3×3/1 | 128 | 96 |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["| Blocktype<br>&repetition | Input<br>channel | Output<br>channel | Stride | g1 | g2 |\n| --- | --- | --- | --- | --- | --- |\n| Regular3x3conv | 3 | 32 | 2 |  |  |\n| BatchNorm+ReLU |  |  |  |  |  |\n| CLCblock | 32 | 64 | 1 | 16 | 2 |\n| CLCblock | 64 | 128 | 2 | 32 | 2 |","| CLCblock×a | 128 | 128 | 1 | 64 | 2 |\n| --- | --- | --- | --- | --- | --- |\n| CLCblock | 128 | 256 | 2 | 64 | 2 |\n| CLCblock×b | 256 | 256 | 1 | 128 | 2 |\n| CLCblock | 256 | 512 | 2 | 128 | 2 |\n| CLCblock×c | 512 | 512 | 1 | 256 | 2 |\n| CLCblock | 512 | 1024 | 2 | 256 | 2 |\n| CLCblock×d | 1024 | 1024 | 1 | 512 | 2 |\n| AveragePooling |  |  |  |  |  |\n| FClayer | 1024 | 1000 |  |  |  |",1]
["| Blocktype<br>&repetition | Input<br>channel | Output<br>channel | Stride | g1 | g2 |\n| --- | --- | --- | --- | --- | --- |\n| Regular3x3conv | 3 | 32 | 2 |  |  |\n| BatchNorm+ReLU |  |  |  |  |  |\n| CLCblock | 32 | 64 | 1 | 16 | 2 |\n| CLCblock | 64 | 128 | 2 | 32 | 2 |","| Conv31 | 3×3/1 | 128 | 96 |\n| --- | --- | --- | --- |\n| Conv32 | 3×3/1 | 96 | 192 |\n| MaxPool | 2×2/2 | 192 | – |\n| Conv41 | 3×3/1 | 192 | 128 |\n| Conv42 | 3×3/1 | 128 | 256 |\n| MaxPool | 2×2/2 | 256 | – |\n| Conv51 | 3×3/1 | 256 | 160 |\n| Conv52 | 3×3/1 | 160 | 320 |\n| AvgPool | 6×6/1 | 320 | – |\n| Dropout1-0.3 | – | – | – |\n| FC | 1×320/1 | 320 | 100 |",0]
["|  | 5VirtualLandscapeDatasets | 7VirtualLandscapeDatasets |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N-based | G-based | I-based | N-based | G-based | I-based | N-based |  |\n| Accuracy | 0.9931 | 0.9950 | 0.9927 | 0.9939 | 0.9950 | 0.9930 | 0.9936 |\n| Precision | 0.6154 | 0.7080 | 0.7143 | 0.5820 | 0.7080 | 0.7590 | 0.6939 |","| Recall | 0.5161 | 0.6452 | 0.4839 | 0.5726 | 0.6452 | 0.5081 | 0.5484 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| F-measure | 0.5614 | 0.6751 | 0.5769 | 0.5772 | 0.6751 | 0.6087 | 0.6126 |\n| R.T(second) | 2.74 | 2.67 | 2.41 | 3.29 | 3.30 | 3.44 | 4.69 |\n| M.U(MB) | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 |",1]
["|  | 5VirtualLandscapeDatasets | 7VirtualLandscapeDatasets |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N-based | G-based | I-based | N-based | G-based | I-based | N-based |  |\n| Accuracy | 0.9931 | 0.9950 | 0.9927 | 0.9939 | 0.9950 | 0.9930 | 0.9936 |\n| Precision | 0.6154 | 0.7080 | 0.7143 | 0.5820 | 0.7080 | 0.7590 | 0.6939 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 5877 | 0.083 | 0.557 | 0.145 |\n| C-CENI | 5415 | 0.082 | 0.539 | 0.142 |\n| I-CENI | 7358 | 0.078 | 0.571 | 0.137 |\n| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["|  | 5VirtualLandscapeDatasets | 7VirtualLandscapeDatasets |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N-based | G-based | I-based | N-based | G-based | I-based | N-based |  |\n| Accuracy | 0.9931 | 0.9950 | 0.9927 | 0.9939 | 0.9950 | 0.9930 | 0.9936 |","| Precision | 0.6154 | 0.7080 | 0.7143 | 0.5820 | 0.7080 | 0.7590 | 0.6939 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Recall | 0.5161 | 0.6452 | 0.4839 | 0.5726 | 0.6452 | 0.5081 | 0.5484 |\n| F-measure | 0.5614 | 0.6751 | 0.5769 | 0.5772 | 0.6751 | 0.6087 | 0.6126 |\n| R.T(second) | 2.74 | 2.67 | 2.41 | 3.29 | 3.30 | 3.44 | 4.69 |\n| M.U(MB) | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 | 0.42 |",1]
["|  | 5VirtualLandscapeDatasets | 7VirtualLandscapeDatasets |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N-based | G-based | I-based | N-based | G-based | I-based | N-based |  |\n| Accuracy | 0.9931 | 0.9950 | 0.9927 | 0.9939 | 0.9950 | 0.9930 | 0.9936 |","| MMRate | 21677 | 0.085 | 0.565 | 0.148 |\n| --- | --- | --- | --- | --- |\n| NetRate | 14404 | 0.081 | 0.566 | 0.142 |",0]
["| Images |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CamMan | Parrot | Man | Montage | Peppers | Aerial | House |\n| 37.90<br>36.98<br>37.66 | 37.57<br>36.65<br>37.42 | 36.78<br>36.44<br>36.77 | 40.17<br>39.46<br>39.96 | 37.87<br>37.09<br>37.72 | 35.57<br>35.23<br>35.33 | 39.45<br>37.89<br>39.51 |\n| 31.38<br>30.78<br>31.31 | 30.98<br>30.76<br>30.90 | 30.57<br>30.76<br>30.74 | 33.77<br>33.14<br>33.78 | 32.21<br>31.96<br>32.25 | 28.64<br>28.55<br>28.49 | 34.32<br>33.89<br>34.60 |","| 28.81<br>27.96<br>28.96 | 28.43<br>27.89<br>28.48 | 28.11<br>28.26<br>28.37 | 30.97<br>29.52<br>31.21 | 29.74<br>28.94<br>29.91 | 25.95<br>25.78<br>25.98 | 32.10<br>30.67<br>32.51 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 25.66<br>20.30<br>25.92 | 25.35<br>20.11<br>25.51 | 24.99<br>20.36<br>25.24 | 27.12<br>20.39<br>27.35 | 26.16<br>20.34<br>26.48 | 22.44<br>19.62<br>22.85 | 28.03<br>20.90<br>28.66 |",1]
["| Images |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CamMan | Parrot | Man | Montage | Peppers | Aerial | House |\n| 37.90<br>36.98<br>37.66 | 37.57<br>36.65<br>37.42 | 36.78<br>36.44<br>36.77 | 40.17<br>39.46<br>39.96 | 37.87<br>37.09<br>37.72 | 35.57<br>35.23<br>35.33 | 39.45<br>37.89<br>39.51 |\n| 31.38<br>30.78<br>31.31 | 30.98<br>30.76<br>30.90 | 30.57<br>30.76<br>30.74 | 33.77<br>33.14<br>33.78 | 32.21<br>31.96<br>32.25 | 28.64<br>28.55<br>28.49 | 34.32<br>33.89<br>34.60 |","|  | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |\n| --- | --- | --- | --- | --- | --- |\n| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |\n| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |\n| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |\n| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |\n| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |\n| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |\n| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |\n| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |\n| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |\n| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |\n| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 |",0]
["| Images |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CamMan | Parrot | Man | Montage | Peppers | Aerial | House |\n| 37.90<br>36.98<br>37.66 | 37.57<br>36.65<br>37.42 | 36.78<br>36.44<br>36.77 | 40.17<br>39.46<br>39.96 | 37.87<br>37.09<br>37.72 | 35.57<br>35.23<br>35.33 | 39.45<br>37.89<br>39.51 |","| 31.38<br>30.78<br>31.31 | 30.98<br>30.76<br>30.90 | 30.57<br>30.76<br>30.74 | 33.77<br>33.14<br>33.78 | 32.21<br>31.96<br>32.25 | 28.64<br>28.55<br>28.49 | 34.32<br>33.89<br>34.60 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 28.81<br>27.96<br>28.96 | 28.43<br>27.89<br>28.48 | 28.11<br>28.26<br>28.37 | 30.97<br>29.52<br>31.21 | 29.74<br>28.94<br>29.91 | 25.95<br>25.78<br>25.98 | 32.10<br>30.67<br>32.51 |\n| 25.66<br>20.30<br>25.92 | 25.35<br>20.11<br>25.51 | 24.99<br>20.36<br>25.24 | 27.12<br>20.39<br>27.35 | 26.16<br>20.34<br>26.48 | 22.44<br>19.62<br>22.85 | 28.03<br>20.90<br>28.66 |",1]
["| Images |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| CamMan | Parrot | Man | Montage | Peppers | Aerial | House |\n| 37.90<br>36.98<br>37.66 | 37.57<br>36.65<br>37.42 | 36.78<br>36.44<br>36.77 | 40.17<br>39.46<br>39.96 | 37.87<br>37.09<br>37.72 | 35.57<br>35.23<br>35.33 | 39.45<br>37.89<br>39.51 |","| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |\n| --- | --- | --- | --- | --- | --- |\n| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |\n| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |\n| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |\n| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |\n| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |\n| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |\n| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 |",0]
["| Exponent | φ | ζ | α | β |\n| --- | --- | --- | --- | --- |\n| Basque | 1.13±0.04 | 1.77±0.14 | 0.90±0.03 | 3.1±0.3 |\n| Catalan | 1.17±0.05 | 1.89±0.14 | 0.92±0.03 | 2.8±0.4 |\n| English | 1.16±0.05 | 1.85±0.14 | 0.91±0.01 | 2.9±0.3 |\n| Galician | 1.18±0.04 | 1.80±0.14 | 0.89±0.03 | 2.9±0.4 |","| Portuguese | 1.16±0.05 | 1.77±0.14 | 0.91±0.01 | 3.0±0.3 |\n| --- | --- | --- | --- | --- |\n| Spanish | 1.15±0.04 | 1.79±0.14 | 0.91±0.03 | 2.8±0.4 |",1]
["| Exponent | φ | ζ | α | β |\n| --- | --- | --- | --- | --- |\n| Basque | 1.13±0.04 | 1.77±0.14 | 0.90±0.03 | 3.1±0.3 |\n| Catalan | 1.17±0.05 | 1.89±0.14 | 0.92±0.03 | 2.8±0.4 |\n| English | 1.16±0.05 | 1.85±0.14 | 0.91±0.01 | 2.9±0.3 |\n| Galician | 1.18±0.04 | 1.80±0.14 | 0.89±0.03 | 2.9±0.4 |","|  | CROATIAN | ENGLISH |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR |\n| N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 |\n| K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |\n| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 |\n| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| Exponent | φ | ζ | α | β |\n| --- | --- | --- | --- | --- |\n| Basque | 1.13±0.04 | 1.77±0.14 | 0.90±0.03 | 3.1±0.3 |\n| Catalan | 1.17±0.05 | 1.89±0.14 | 0.92±0.03 | 2.8±0.4 |","| English | 1.16±0.05 | 1.85±0.14 | 0.91±0.01 | 2.9±0.3 |\n| --- | --- | --- | --- | --- |\n| Galician | 1.18±0.04 | 1.80±0.14 | 0.89±0.03 | 2.9±0.4 |\n| Portuguese | 1.16±0.05 | 1.77±0.14 | 0.91±0.01 | 3.0±0.3 |\n| Spanish | 1.15±0.04 | 1.79±0.14 | 0.91±0.03 | 2.8±0.4 |",1]
["| Exponent | φ | ζ | α | β |\n| --- | --- | --- | --- | --- |\n| Basque | 1.13±0.04 | 1.77±0.14 | 0.90±0.03 | 3.1±0.3 |\n| Catalan | 1.17±0.05 | 1.89±0.14 | 0.92±0.03 | 2.8±0.4 |","| C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 |\n| ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |",0]
["| Workload | Read | Execute | Save | Others |\n| --- | --- | --- | --- | --- |\n| PageRank | 132.5 | 139.7 | 10.5 | 15.3 |\n| WCC | 134.1 | 152.5 | 11.5 | 10.6 |","| SSSP | 158.3 | 89.3 | 2.2 | 20.7 |\n| --- | --- | --- | --- | --- |\n| K-hop | 161.6 | 0.03 | 0.2 | 16.4 |",1]
["| Workload | Read | Execute | Save | Others |\n| --- | --- | --- | --- | --- |\n| PageRank | 132.5 | 139.7 | 10.5 | 15.3 |\n| WCC | 134.1 | 152.5 | 11.5 | 10.6 |","| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1500 | 11.02 |\n| Kmeans | 5971 | 8.03 |\n| PageRank | 1444 | 9.03 |\n| SIFT | 721 | 8.02 |",0]
["| Workload | Read | Execute | Save | Others |\n| --- | --- | --- | --- | --- |\n| PageRank | 132.5 | 139.7 | 10.5 | 15.3 |","| WCC | 134.1 | 152.5 | 11.5 | 10.6 |\n| --- | --- | --- | --- | --- |\n| SSSP | 158.3 | 89.3 | 2.2 | 20.7 |\n| K-hop | 161.6 | 0.03 | 0.2 | 16.4 |",1]
["| Workload | Read | Execute | Save | Others |\n| --- | --- | --- | --- | --- |\n| PageRank | 132.5 | 139.7 | 10.5 | 15.3 |","| Kmeans | 5971 | 8.03 |\n| --- | --- | --- |\n| PageRank | 1444 | 9.03 |\n| SIFT | 721 | 8.02 |",0]
["| σpos | 0.02m |\n| --- | --- |\n| σvel | −1<br>0.02m.s |","| σψ | −3<br>1.75.10rad |\n| --- | --- |\n| dmax | 50m |\n| vmax | −1<br>36m.s |\n| ˙<br>ψmax | −1<br>1rad.s |",1]
["| σpos | 0.02m |\n| --- | --- |\n| σvel | −1<br>0.02m.s |","| Emin | 1.0·10 |\n| --- | --- |\n| Emax | 1.0·10 |\n| ν | 0.3 |\n| σ<br>y,min | 0.0 |\n| σy,max | 2.0 |\n| H | 0.01 |",0]
["| σpos | 0.02m |\n| --- | --- |\n| σvel | −1<br>0.02m.s |\n| σψ | −3<br>1.75.10rad |","| dmax | 50m |\n| --- | --- |\n| vmax | −1<br>36m.s |\n| ˙<br>ψmax | −1<br>1rad.s |",1]
["| σpos | 0.02m |\n| --- | --- |\n| σvel | −1<br>0.02m.s |\n| σψ | −3<br>1.75.10rad |","| ν | 0.3 |\n| --- | --- |\n| σ<br>y,min | 0.0 |\n| σy,max | 2.0 |\n| H | 0.01 |",0]
["| \\|V\\|(cid:101) | min(\\|V\\|)(cid:101) | max(\\|V\\|)(cid:101) | max(q)n | cn | Time(sec.) |\n| --- | --- | --- | --- | --- | --- |\n| 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 |\n| 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 |\n| 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |\n| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |","| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |\n| --- | --- | --- | --- | --- | --- |\n| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |\n| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |",1]
["| \\|V\\|(cid:101) | min(\\|V\\|)(cid:101) | max(\\|V\\|)(cid:101) | max(q)n | cn | Time(sec.) |\n| --- | --- | --- | --- | --- | --- |\n| 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 |\n| 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 |\n| 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |\n| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |","| v | C(v)I | C(v)D | C(v)C | C(v)B | PR(v) | log(C(v))T |\n| --- | --- | --- | --- | --- | --- | --- |\n| 2 | 0.591 | 0.333 | 0.455 | 0.714 | 0.153 | 0.0 |\n| 7 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 12 | 0.389 | 0.133 | 0.405 | 0.476 | 0.063 | -0.755 |\n| 9 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 10 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 11 | 0.116 | 0.067 | 0.319 | 0.000 | 0.035 | -0.827 |\n| 1 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 3 | 0.444 | 0.333 | 0.349 | 0.476 | 0.161 | -2.454 |\n| 4 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 5 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 6 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 8 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 13 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 14 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |",0]
["| \\|V\\|(cid:101) | min(\\|V\\|)(cid:101) | max(\\|V\\|)(cid:101) | max(q)n | cn | Time(sec.) |\n| --- | --- | --- | --- | --- | --- |\n| 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 |\n| 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 |","| 0.9600 | 0.000000 | 0.0 | 0.0 | 5 | 156 |\n| --- | --- | --- | --- | --- | --- |\n| 0.9750 | 0.000000 | 0.0 | 0.0 | 6 | 177 |\n| 0.9775 | 0.000000 | 0.0 | 0.0 | 6 | 139 |\n| 0.9800 | 0.000000 | 0.0 | 0.0 | 6 | 75 |\n| 0.9840 | -0.000802 | 0.0 | 0.0 | 7 | 340 |",1]
["| \\|V\\|(cid:101) | min(\\|V\\|)(cid:101) | max(\\|V\\|)(cid:101) | max(q)n | cn | Time(sec.) |\n| --- | --- | --- | --- | --- | --- |\n| 0.8850 | 0.000000 | 0.0 | 0.0 | 1 | 1 |\n| 0.9350 | 0.000000 | 0.0 | 0.0 | 3 | 8 |","| 15 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 16 | 0.106 | 0.067 | 0.263 | 0.000 | 0.037 | -5.718 |",0]
["| Category | SVM<br>Baseline | SVM<br>Best | NN<br>Baseline | NN<br>Best |\n| --- | --- | --- | --- | --- |\n| airconditioner | 39.3 | 45.1 | 49.9 | 53.2 |\n| carhorn | 52.4 | 53.0 | 51.6 | 52.8 |\n| childrenplaying | 53.8 | 54.3 | 65.1 | 65.2 |","| dogbark | 76.2 | 75.9 | 81.7 | 82.0 |\n| --- | --- | --- | --- | --- |\n| drilling | 56.6 | 57.2 | 63.4 | 63.0 |\n| engineidling | 53.8 | 54.1 | 68.0 | 69.8 |\n| gunshot | 67.8 | 69.1 | 80.4 | 81.9 |\n| jackhammer | 60.2 | 62.3 | 63.7 | 66.2 |\n| siren | 72.2 | 72.8 | 80.2 | 80.4 |\n| streetmusic | 46.0 | 46.4 | 58.5 | 59.0 |\n| MeanAP | 57.8 | 59.0 | 66.3 | 67.5 |",1]
["| Category | SVM<br>Baseline | SVM<br>Best | NN<br>Baseline | NN<br>Best |\n| --- | --- | --- | --- | --- |\n| airconditioner | 39.3 | 45.1 | 49.9 | 53.2 |\n| carhorn | 52.4 | 53.0 | 51.6 | 52.8 |\n| childrenplaying | 53.8 | 54.3 | 65.1 | 65.2 |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Category | SVM<br>Baseline | SVM<br>Best | NN<br>Baseline | NN<br>Best |\n| --- | --- | --- | --- | --- |\n| airconditioner | 39.3 | 45.1 | 49.9 | 53.2 |\n| carhorn | 52.4 | 53.0 | 51.6 | 52.8 |\n| childrenplaying | 53.8 | 54.3 | 65.1 | 65.2 |\n| dogbark | 76.2 | 75.9 | 81.7 | 82.0 |","| drilling | 56.6 | 57.2 | 63.4 | 63.0 |\n| --- | --- | --- | --- | --- |\n| engineidling | 53.8 | 54.1 | 68.0 | 69.8 |\n| gunshot | 67.8 | 69.1 | 80.4 | 81.9 |\n| jackhammer | 60.2 | 62.3 | 63.7 | 66.2 |\n| siren | 72.2 | 72.8 | 80.2 | 80.4 |\n| streetmusic | 46.0 | 46.4 | 58.5 | 59.0 |\n| MeanAP | 57.8 | 59.0 | 66.3 | 67.5 |",1]
["| Category | SVM<br>Baseline | SVM<br>Best | NN<br>Baseline | NN<br>Best |\n| --- | --- | --- | --- | --- |\n| airconditioner | 39.3 | 45.1 | 49.9 | 53.2 |\n| carhorn | 52.4 | 53.0 | 51.6 | 52.8 |\n| childrenplaying | 53.8 | 54.3 | 65.1 | 65.2 |\n| dogbark | 76.2 | 75.9 | 81.7 | 82.0 |","| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Level | Memoryspace | AI | Squaretilesize | Resources |\n| --- | --- | --- | --- | --- |\n| 0 | Registers | 0.125 | 1 | 16registers |\n| 1 | Sharedmemory/L1 | 1 | 8 | 256bytes |","| 2 | Devicememory | 7.6 | 210 | 6720bytes |\n| --- | --- | --- | --- | --- |\n| 3 | PCIebus | 210 | - |  |",1]
["| Level | Memoryspace | AI | Squaretilesize | Resources |\n| --- | --- | --- | --- | --- |\n| 0 | Registers | 0.125 | 1 | 16registers |\n| 1 | Sharedmemory/L1 | 1 | 8 | 256bytes |","| CPUModel | IntelXeonE5-2690 |\n| --- | --- |\n| CPUCores | 8 |\n| DRAMSize | 128GB |\n| GPUModel | TeslaK20c |\n| DeviceMemorySize | 5GBGDDR5 |\n| SMsandSPs | 13and192 |\n| ComputeCapability | 3.5 |\n| CUDASDK | 7.5 |\n| PCIeBus | PCIex16Gen2 |",0]
["| Level | Memoryspace | AI | Squaretilesize | Resources |\n| --- | --- | --- | --- | --- |\n| 0 | Registers | 0.125 | 1 | 16registers |","| 1 | Sharedmemory/L1 | 1 | 8 | 256bytes |\n| --- | --- | --- | --- | --- |\n| 2 | Devicememory | 7.6 | 210 | 6720bytes |\n| 3 | PCIebus | 210 | - |  |",1]
["| Level | Memoryspace | AI | Squaretilesize | Resources |\n| --- | --- | --- | --- | --- |\n| 0 | Registers | 0.125 | 1 | 16registers |","| CUDASDK | 7.5 |\n| --- | --- |\n| PCIeBus | PCIex16Gen2 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 3 |\n| 2 | 44 |\n| 3 | 108 |\n| 4 | 5 |\n| 5 | 107 |","| 6 | 55 |\n| --- | --- |\n| 7 | 110 |\n| 8 | 109 |\n| 9 | 102 |\n| 10 | 39 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 3 |\n| 2 | 44 |\n| 3 | 108 |\n| 4 | 5 |\n| 5 | 107 |","| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 577 |\n| 2 | 580 |\n| 3 | 575 |\n| 4 | 822 |\n| 5 | 702 |\n| 6 | 706 |\n| 7 | 546 |\n| 8 | 578 |\n| 9 | 170 |\n| 10 | 90 |",0]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 3 |","| 2 | 44 |\n| --- | --- |\n| 3 | 108 |\n| 4 | 5 |\n| 5 | 107 |\n| 6 | 55 |\n| 7 | 110 |\n| 8 | 109 |\n| 9 | 102 |\n| 10 | 39 |",1]
["| EigenvectorCentrality<br>Ranking# | NodeID |\n| --- | --- |\n| 1 | 3 |","| 6 | 706 |\n| --- | --- |\n| 7 | 546 |\n| 8 | 578 |\n| 9 | 170 |\n| 10 | 90 |",0]
["| Dataset | CIFAR-10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |","| Original<br>ELU(a)<br>FReLU(a)<br>ELU(c)<br>FReLU(b) | 8.12(0.18)<br>8.04(0.08)<br>8.10(0.18)<br>8.28(0.09)<br>8.00(0.14) | 7.28(0.19)<br>7.62(0.21)<br>7.30(0.17)<br>7.07(0.17)<br>6.99(0.11) | 6.97(0.24)<br>7.51(0.22)<br>6.91(0.25)<br>6.78(0.10)<br>6.58(0.19) | 6.87(0.54)<br>7.71(0.26)<br>6.54(0.22)<br>6.54(0.20)<br>6.31(0.20) | 6.82(0.63)<br>8.21(0.21)<br>6.20(0.23)<br>5.86(0.14)<br>5.71(0.19) |\n| --- | --- | --- | --- | --- | --- |\n| Dataset | CIFAR-100 |  |  |  |  |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) |",1]
["| Dataset | CIFAR-10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |","| test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |  |  |\n| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>32.28<br>31.44 | 36.89<br>32.52<br>31.66 | 36.34<br>32.18<br>31.38 | 36.66<br>32.45<br>31.63 | 36.93<br>32.56<br>31.63 | 36.58<br>32.28<br>31.48 | 37.00<br>32.63<br>31.80 |\n| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 |",0]
["| Dataset | CIFAR-10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |","| Original<br>ELU(a)<br>FReLU(a)<br>ELU(c)<br>FReLU(b) | 8.12(0.18)<br>8.04(0.08)<br>8.10(0.18)<br>8.28(0.09)<br>8.00(0.14) | 7.28(0.19)<br>7.62(0.21)<br>7.30(0.17)<br>7.07(0.17)<br>6.99(0.11) | 6.97(0.24)<br>7.51(0.22)<br>6.91(0.25)<br>6.78(0.10)<br>6.58(0.19) | 6.87(0.54)<br>7.71(0.26)<br>6.54(0.22)<br>6.54(0.20)<br>6.31(0.20) | 6.82(0.63)<br>8.21(0.21)<br>6.20(0.23)<br>5.86(0.14)<br>5.71(0.19) |\n| --- | --- | --- | --- | --- | --- |\n| Dataset | CIFAR-100 |  |  |  |  |\n| #Depths | 20 | 32 | 44 | 56 | 110 |\n| Original<br>ELU(c)<br>FReLU(b) | 31.93(0.13)<br>31.90(0.36)<br>31.84(0.30) | 30.16(0.32)<br>30.39(0.37)<br>29.95(0.27) | 29.30(0.45)<br>29.34(0.39)<br>29.02(0.25) | 29.19(0.61)<br>28.81(0.42)<br>28.07(0.47) | 28.48(0.85)<br>27.02(0.32)<br>26.70(0.38) |",1]
["| Dataset | CIFAR-10 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| #Depths | 20 | 32 | 44 | 56 | 110 |","| Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Set5<br>Set14<br>BSD200 | 4<br>4<br>4 | 28.42<br>26.00<br>25.97 | 30.03<br>27.14<br>26.68 | 30.28<br>27.32<br>26.83 | 30.35<br>27.41<br>26.89 | 30.09<br>27.20<br>26.73 | 30.49<br>27.50<br>26.92 | 30.86<br>27.64<br>27.02 | 30.11<br>27.19<br>26.75 | 30.71<br>27.59<br>26.98 |",0]
["| MetricID | precision | recall | F1 |\n| --- | --- | --- | --- |\n| M1 | 1 | 0.48 | 0.65 |\n| M2 | 0.99 | 0.41 | 0.58 |\n| M3 | 1 | 0.19 | 0.32 |","| M4 | 0.77 | 0.76 | 0.76 |\n| --- | --- | --- | --- |\n| M5 | 1 | 0.32 | 0.48 |",1]
["| MetricID | precision | recall | F1 |\n| --- | --- | --- | --- |\n| M1 | 1 | 0.48 | 0.65 |\n| M2 | 0.99 | 0.41 | 0.58 |\n| M3 | 1 | 0.19 | 0.32 |","|  | RunningTime(seconds) | Precision | Recall | F-measure |\n| --- | --- | --- | --- | --- |\n| P-CENI | 8182 | 0.058 | 0.140 | 0.082 |\n| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |\n| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["| MetricID | precision | recall | F1 |\n| --- | --- | --- | --- |\n| M1 | 1 | 0.48 | 0.65 |\n| M2 | 0.99 | 0.41 | 0.58 |\n| M3 | 1 | 0.19 | 0.32 |","| M4 | 0.77 | 0.76 | 0.76 |\n| --- | --- | --- | --- |\n| M5 | 1 | 0.32 | 0.48 |",1]
["| MetricID | precision | recall | F1 |\n| --- | --- | --- | --- |\n| M1 | 1 | 0.48 | 0.65 |\n| M2 | 0.99 | 0.41 | 0.58 |\n| M3 | 1 | 0.19 | 0.32 |","| C-CENI | 7729 | 0.038 | 0.128 | 0.059 |\n| --- | --- | --- | --- | --- |\n| I-CENI | 8559 | 0.043 | 0.233 | 0.073 |\n| MMRate | 37328 | 0.046 | 0.144 | 0.070 |\n| NetRate | 16461 | 0.045 | 0.168 | 0.071 |",0]
["| AlgorithmSeq. | APF | OPF | JPF | JLM |\n| --- | --- | --- | --- | --- |\n| Jog(SinC)(JointLoc.)12<br>Jog(SinC)(JointAngle)12 | 38.48<br>9.32 | 78.39<br>12.54 | 34.55<br>8.19 | 41.24<br>12.11 |\n| Jog(SinC)(JointLoc.)22<br>Jog(SinC)(JointAngle)22 | 43.04<br>11.07 | 35.05<br>9.50 | 31.01<br>7.25 | 58.58<br>9.06 |","| Jog(SinC)(JointLoc.)32<br>Jog(SinC)(JointAngle)32 | 78.18<br>11.03 | 75.41<br>11.26 | 38.74<br>9.06 | 62.57<br>11.55 |\n| --- | --- | --- | --- | --- |\n| Box(SinC)(JointLoc.)22<br>Box(SinC)(JointAngle)22 | 67.4<br>18.18 | 34.73<br>12.55 | 43.58<br>14.08 | 27.65<br>8.39 |\n| Box(SinC)(JointLoc.)12<br>Box(SinC)(JointAngle)12 | 43.56<br>13.22 | 33.27<br>11.70 | 25.19<br>10.05 | 23.12<br>7.05 |\n| Box(SinC)(JointLoc.)32<br>Box(SinC)(JointAngle)32 | 49.61<br>15.41 | 68.6<br>23.75 | 37.37<br>12.11 | 55.15<br>13.02 |\n| Walk(SinC)(JointLoc.)12<br>Walk(SinC)(JointAngle)12 | 26.43<br>7.61 | 30.42<br>7.23 | 25.01<br>5.04 | 26.64<br>4.10 |\n| Walk(SinC)(JointLoc.)22<br>Walk(SinC)(JointAngle)22 | 60.40<br>9.71 | 37.04<br>9.06 | 34.61<br>6.01 | 35.06<br>6.74 |\n| Walk(SinC)(JointLoc.)32<br>Walk(SinC)(JointAngle)32 | 54.09<br>9.52 | 63.09<br>9.32 | 27.61<br>4.60 | 64.25<br>7.49 |\n| Jog(SinC)(JointLoc.)23<br>Jog(SinC)(JointAngle)23 | 51.43<br>11.49 | 40.12<br>12.57 | 38.91<br>10.5 | 54.33<br>13.28 |",1]
["| AlgorithmSeq. | APF | OPF | JPF | JLM |\n| --- | --- | --- | --- | --- |\n| Jog(SinC)(JointLoc.)12<br>Jog(SinC)(JointAngle)12 | 38.48<br>9.32 | 78.39<br>12.54 | 34.55<br>8.19 | 41.24<br>12.11 |\n| Jog(SinC)(JointLoc.)22<br>Jog(SinC)(JointAngle)22 | 43.04<br>11.07 | 35.05<br>9.50 | 31.01<br>7.25 | 58.58<br>9.06 |","| PoseID<br>Yaw | 110<br>o<br>−90 | 120<br>o<br>−75 | 090<br>o<br>−60 | 080<br>o<br>−45 | 130<br>o<br>−30 | 140<br>o<br>−15 | 050<br>o<br>15 | 041<br>o<br>30 | 190<br>o<br>45 | 200<br>o<br>60 | 010<br>o<br>75 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS | 31.9 | 77.5 | 89.2 | 93.4 | 88.3 | 98.1 | 98.1 | 93.4 | 90.6 | 87.3 | 72.3 |\n| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |\n| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 |\n| MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 |\n| LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |",0]
["| AlgorithmSeq. | APF | OPF | JPF | JLM |\n| --- | --- | --- | --- | --- |\n| Jog(SinC)(JointLoc.)12<br>Jog(SinC)(JointAngle)12 | 38.48<br>9.32 | 78.39<br>12.54 | 34.55<br>8.19 | 41.24<br>12.11 |\n| Jog(SinC)(JointLoc.)22<br>Jog(SinC)(JointAngle)22 | 43.04<br>11.07 | 35.05<br>9.50 | 31.01<br>7.25 | 58.58<br>9.06 |\n| Jog(SinC)(JointLoc.)32<br>Jog(SinC)(JointAngle)32 | 78.18<br>11.03 | 75.41<br>11.26 | 38.74<br>9.06 | 62.57<br>11.55 |","| Box(SinC)(JointLoc.)22<br>Box(SinC)(JointAngle)22 | 67.4<br>18.18 | 34.73<br>12.55 | 43.58<br>14.08 | 27.65<br>8.39 |\n| --- | --- | --- | --- | --- |\n| Box(SinC)(JointLoc.)12<br>Box(SinC)(JointAngle)12 | 43.56<br>13.22 | 33.27<br>11.70 | 25.19<br>10.05 | 23.12<br>7.05 |\n| Box(SinC)(JointLoc.)32<br>Box(SinC)(JointAngle)32 | 49.61<br>15.41 | 68.6<br>23.75 | 37.37<br>12.11 | 55.15<br>13.02 |\n| Walk(SinC)(JointLoc.)12<br>Walk(SinC)(JointAngle)12 | 26.43<br>7.61 | 30.42<br>7.23 | 25.01<br>5.04 | 26.64<br>4.10 |\n| Walk(SinC)(JointLoc.)22<br>Walk(SinC)(JointAngle)22 | 60.40<br>9.71 | 37.04<br>9.06 | 34.61<br>6.01 | 35.06<br>6.74 |\n| Walk(SinC)(JointLoc.)32<br>Walk(SinC)(JointAngle)32 | 54.09<br>9.52 | 63.09<br>9.32 | 27.61<br>4.60 | 64.25<br>7.49 |\n| Jog(SinC)(JointLoc.)23<br>Jog(SinC)(JointAngle)23 | 51.43<br>11.49 | 40.12<br>12.57 | 38.91<br>10.5 | 54.33<br>13.28 |",1]
["| AlgorithmSeq. | APF | OPF | JPF | JLM |\n| --- | --- | --- | --- | --- |\n| Jog(SinC)(JointLoc.)12<br>Jog(SinC)(JointAngle)12 | 38.48<br>9.32 | 78.39<br>12.54 | 34.55<br>8.19 | 41.24<br>12.11 |\n| Jog(SinC)(JointLoc.)22<br>Jog(SinC)(JointAngle)22 | 43.04<br>11.07 | 35.05<br>9.50 | 31.01<br>7.25 | 58.58<br>9.06 |\n| Jog(SinC)(JointLoc.)32<br>Jog(SinC)(JointAngle)32 | 78.18<br>11.03 | 75.41<br>11.26 | 38.74<br>9.06 | 62.57<br>11.55 |","| MCCA | 40.9 | 74.2 | 82.2 | 72.3 | 68.5 | 92.0 | 90.6 | 79.8 | 74.7 | 77.9 | 71.4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PLS+LDA | 38.0 | 79.8 | 86.9 | 94.4 | 92.0 | 99.5 | 98.6 | 96.7 | 88.3 | 85.0 | 70.9 |\n| MCCA+LD | 48.8 | 66.2 | 81.7 | 88.7 | 100 | 100 | 100 | 99.5 | 83.1 | 80.3 | 67.6 |\n| MvDA | 56.8 | 72.3 | 84.5 | 92.0 | 96.7 | 100 | 100 | 99.1 | 89.7 | 86.4 | 71.4 |\n| GMA | 52.6 | 73.2 | 84.5 | 90.1 | 100 | 100 | 100 | 100 | 90.6 | 85.9 | 71.8 |\n| MvDN | 70.4 | 82.2 | 88.3 | 91.1 | 99.1 | 100 | 100 | 99.1 | 93.0 | 91.1 | 79.8 |\n| LFHN(ours) | 100 | 97.7 | 100 | 100 | 89.3 | 100 | 93.8 | 97.1 | 95.8 | 93.5 | 100 |",0]
["| Action | Possibleoﬀsets |\n| --- | --- |\n| ﬁnish | (0,0) |\n| left | (-1,0),(-1,-1),(-1,1) |\n| right | (1,0),(1,-1),(1,1) |\n| up | (0,1),(-1,1),(1,1) |","| down | (0,-1),(1,-1),(-1,-1) |\n| --- | --- |\n| left-up | (-1,1),(-1,0),(0,1) |\n| left-down | (-1,-1),(0,-1),(-1,0) |\n| right-up | (1,1),(0,1),(1,0) |\n| right-down | (1,-1),(1,0),(0,-1) |",1]
["| Action | Possibleoﬀsets |\n| --- | --- |\n| ﬁnish | (0,0) |\n| left | (-1,0),(-1,-1),(-1,1) |\n| right | (1,0),(1,-1),(1,1) |\n| up | (0,1),(-1,1),(1,1) |","| Action | (MV,MDR) | ValuesofAUandotherderivedfeatures(MV,MR) |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | BMCG | BMC | Head | Hand | Leg | SA | MD |\n| Stand | (0,–) | (0,X) | (0,X) | (0,X) | (0,X) | – | (-1,0,1) |\n| Wave | (0,–) | (1,MID) | (0,UP) | (2,UP/MID) | (0,LL) | – | (-1,0,1) |\n| Punch | (0,–) | (1,MID) | (1,UP) | (2,UP/MID) | (0,LL) | (0-30) | (-1,0,1) |\n| Kick | (0,–) | (1,MID) | (1,UP) | (1,MID) | (0,LL/MID | (0-130) | (-1,0,1) |\n| Jump | (2,Y/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | – | (-1,0,1) |\n| Run | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-90) | (-1,0,1) |\n| Walk | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-60) | (-1,0,1) |\n| Turnback | (1,X/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | (0-30) | (-1,0,1) |",0]
["| Action | Possibleoﬀsets |\n| --- | --- |\n| ﬁnish | (0,0) |\n| left | (-1,0),(-1,-1),(-1,1) |","| right | (1,0),(1,-1),(1,1) |\n| --- | --- |\n| up | (0,1),(-1,1),(1,1) |\n| down | (0,-1),(1,-1),(-1,-1) |\n| left-up | (-1,1),(-1,0),(0,1) |\n| left-down | (-1,-1),(0,-1),(-1,0) |\n| right-up | (1,1),(0,1),(1,0) |\n| right-down | (1,-1),(1,0),(0,-1) |",1]
["| Action | Possibleoﬀsets |\n| --- | --- |\n| ﬁnish | (0,0) |\n| left | (-1,0),(-1,-1),(-1,1) |","| Kick | (0,–) | (1,MID) | (1,UP) | (1,MID) | (0,LL/MID | (0-130) | (-1,0,1) |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Jump | (2,Y/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | – | (-1,0,1) |\n| Run | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-90) | (-1,0,1) |\n| Walk | (2,X/XY) | (1,MID) | (–,–) | (–,–) | (2,LL) | (0-60) | (-1,0,1) |\n| Turnback | (1,X/XY) | (1,MID) | (1,UP) | (1,MID) | (1,LL) | (0-30) | (-1,0,1) |",0]
["| SequenceName | ViewA | ViewB | ViewV |\n| --- | --- | --- | --- |\n| PoznanStreet | 3 | 5 | 4 |\n| PoznanHall2 | 5 | 7 | 6 |","| PoznanCarPark | 3 | 5 | 4 |\n| --- | --- | --- | --- |\n| BookArrival | 7 | 9 | 8 |",1]
["| SequenceName | ViewA | ViewB | ViewV |\n| --- | --- | --- | --- |\n| PoznanStreet | 3 | 5 | 4 |\n| PoznanHall2 | 5 | 7 | 6 |","| Seqs | Kendo | PoznanStreet | UndoDancer |\n| --- | --- | --- | --- |\n| JBF | 32.53 | 32.78 | 31.90 |\n| 3-POLY | 32.28 | 33.05 | 31.97 |\n| 3-CG | 35.76 | 34.49 | 31.91 |\n| 3-CHEB | 35.67 | 34.35 | 31.92 |",0]
["| SequenceName | ViewA | ViewB | ViewV |\n| --- | --- | --- | --- |\n| PoznanStreet | 3 | 5 | 4 |","| PoznanHall2 | 5 | 7 | 6 |\n| --- | --- | --- | --- |\n| PoznanCarPark | 3 | 5 | 4 |\n| BookArrival | 7 | 9 | 8 |",1]
["| SequenceName | ViewA | ViewB | ViewV |\n| --- | --- | --- | --- |\n| PoznanStreet | 3 | 5 | 4 |","| 3-POLY | 32.28 | 33.05 | 31.97 |\n| --- | --- | --- | --- |\n| 3-CG | 35.76 | 34.49 | 31.91 |\n| 3-CHEB | 35.67 | 34.35 | 31.92 |",0]
["|  | Easy | Medium | Hard |\n| --- | --- | --- | --- |\n| AlexNet+SVM | 0.822 | 0.800 | 0.729 |","| AlexNet+JointBayesian | 0.853 | 0.823 | 0.774 |\n| --- | --- | --- | --- |\n| Overfeat+SVM | 0.860 | 0.830 | 0.754 |\n| Overfeat+JointBayesian | 0.873 | 0.841 | 0.780 |\n| GoogLeNet+SVM | 0.880 | 0.837 | 0.764 |\n| GoogLeNet+JointBayesian | 0.907 | 0.852 | 0.788 |",1]
["|  | Easy | Medium | Hard |\n| --- | --- | --- | --- |\n| AlexNet+SVM | 0.822 | 0.800 | 0.729 |","| CNNsName | VGG-F | VGG-M | VGG-S |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |\n| Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |\n| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) |\n| Classiﬁer | SVMs | NB | RFT | NB | NB | RFT | kNN |\n| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["|  | Easy | Medium | Hard |\n| --- | --- | --- | --- |\n| AlexNet+SVM | 0.822 | 0.800 | 0.729 |","| AlexNet+JointBayesian | 0.853 | 0.823 | 0.774 |\n| --- | --- | --- | --- |\n| Overfeat+SVM | 0.860 | 0.830 | 0.754 |\n| Overfeat+JointBayesian | 0.873 | 0.841 | 0.780 |\n| GoogLeNet+SVM | 0.880 | 0.837 | 0.764 |\n| GoogLeNet+JointBayesian | 0.907 | 0.852 | 0.788 |",1]
["|  | Easy | Medium | Hard |\n| --- | --- | --- | --- |\n| AlexNet+SVM | 0.822 | 0.800 | 0.729 |","| Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |",0]
["| Method | S-S | B-B | S-B | M-D | M-S | F-D | F-S | Mean | Wholeset |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fangetal. | 61.36 | 56.67 | 56.25 | 56.14 | 55.56 | 57.14 | 55.26 | 56.91 | 53.51 |\n| Guo&Wang | 65.91 | 56.67 | 60.94 | 58.77 | 62.50 | 67.86 | 55.26 | 61.13 | 56.14 |\n| Zhouetal. | 63.64 | 70.00 | 60.94 | 57.02 | 56.94 | 66.07 | 60.53 | 62.16 | 58.55 |\n| Dibekliogluetal. | 75.00 | 70.00 | 68.75 | 67.54 | 75.00 | 75.00 | 78.95 | 72.89 | 67.11 |","| OurDeepFeat | 88.92 | 92.82 | 88.47 | 90.24 | 85.69 | 89.70 | 92.69 | 89.79 | 88.16 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| OurDeep+Shallow | 88.93 | 94.74 | 90.07 | 91.23 | 90.49 | 93.10 | 88.30 | 90.98 | 88.93 |",1]
["| Method | S-S | B-B | S-B | M-D | M-S | F-D | F-S | Mean | Wholeset |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fangetal. | 61.36 | 56.67 | 56.25 | 56.14 | 55.56 | 57.14 | 55.26 | 56.91 | 53.51 |\n| Guo&Wang | 65.91 | 56.67 | 60.94 | 58.77 | 62.50 | 67.86 | 55.26 | 61.13 | 56.14 |\n| Zhouetal. | 63.64 | 70.00 | 60.94 | 57.02 | 56.94 | 66.07 | 60.53 | 62.16 | 58.55 |\n| Dibekliogluetal. | 75.00 | 70.00 | 68.75 | 67.54 | 75.00 | 75.00 | 78.95 | 72.89 | 67.11 |","| Method | T | UL | LL | UA | LA | H | Total |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| OursImagenet | 81.3 | 54.6 | 48.8 | 36.1 | 19.1 | 56.9 | 50.0 |\n| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |\n| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",0]
["| Method | S-S | B-B | S-B | M-D | M-S | F-D | F-S | Mean | Wholeset |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fangetal. | 61.36 | 56.67 | 56.25 | 56.14 | 55.56 | 57.14 | 55.26 | 56.91 | 53.51 |","| Guo&Wang | 65.91 | 56.67 | 60.94 | 58.77 | 62.50 | 67.86 | 55.26 | 61.13 | 56.14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Zhouetal. | 63.64 | 70.00 | 60.94 | 57.02 | 56.94 | 66.07 | 60.53 | 62.16 | 58.55 |\n| Dibekliogluetal. | 75.00 | 70.00 | 68.75 | 67.54 | 75.00 | 75.00 | 78.95 | 72.89 | 67.11 |\n| OurDeepFeat | 88.92 | 92.82 | 88.47 | 90.24 | 85.69 | 89.70 | 92.69 | 89.79 | 88.16 |\n| OurDeep+Shallow | 88.93 | 94.74 | 90.07 | 91.23 | 90.49 | 93.10 | 88.30 | 90.98 | 88.93 |",1]
["| Method | S-S | B-B | S-B | M-D | M-S | F-D | F-S | Mean | Wholeset |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Fangetal. | 61.36 | 56.67 | 56.25 | 56.14 | 55.56 | 57.14 | 55.26 | 56.91 | 53.51 |","| CliqueCNN | 80.1 | 50.1 | 45.7 | 27.2 | 12.6 | 45.5 | 43.5 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| VGG-S | 82.0 | 48.2 | 41.8 | 32.4 | 15.8 | 53.6 | 47.0 |\n| OursScratch | 73.0 | 45.1 | 41.6 | 26.2 | 12.2 | 44.4 | 43.0 |\n| Shuﬄe&Learn | 60.4 | 33.2 | 28.9 | 16.8 | 7.1 | 33.8 | 30.0 |\n| GroundTruth | 93.7 | 78.8 | 74.9 | 58.7 | 36.4 | 72.4 | 69.2 |\n| Chuetal. | 98.4 | 95.0 | 92.8 | 88.5 | 81.2 | 95.7 | 90.9 |",0]
["|  | Agreement | Kappa | Correlation |\n| --- | --- | --- | --- |\n| Business | 0.70 | 0.405 | 0.608 |","| Science | 0.74 | 0.455 | 0.523 |\n| --- | --- | --- | --- |\n| Sports | 0.73 | 0.460 | 0.522 |\n| Politics | 0.78 | 0.550 | 0.711 |",1]
["|  | Agreement | Kappa | Correlation |\n| --- | --- | --- | --- |\n| Business | 0.70 | 0.405 | 0.608 |","| L | GraphQMF | nonzeroDCgraphBior | zeroDCgraphBior |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | SNR(dB) | Θ | SNR(dB) | Θ | SNR(dB) | Θ |\n| 4 | 32.20 | 0.98 | 286.84 | 0.88 | 286.54 | 0.70 |\n| 8 | 32.25 | 0.98 | 282.89 | 0.87 | 282.71 | 0.66 |\n| 10 | 42.17 | 1.00 | 270.05 | 0.81 | 270.00 | 0.65 |\n| 14 | 48.09 | 1.00 | 230.83 | 0.85 | 230.73 | 0.64 |\n| 16 | 44.78 | 0.99 | 222.08 | 0.94 | 222.05 | 0.64 |\n| 18 | 45.23 | 0.99 | 190.53 | 0.92 | 190.43 | 0.63 |\n| 20 | 54.61 | 1.00 | 170.78 | 0.94 | 170.68 | 0.63 |",0]
["|  | Agreement | Kappa | Correlation |\n| --- | --- | --- | --- |\n| Business | 0.70 | 0.405 | 0.608 |","| Science | 0.74 | 0.455 | 0.523 |\n| --- | --- | --- | --- |\n| Sports | 0.73 | 0.460 | 0.522 |\n| Politics | 0.78 | 0.550 | 0.711 |",1]
["|  | Agreement | Kappa | Correlation |\n| --- | --- | --- | --- |\n| Business | 0.70 | 0.405 | 0.608 |","| 8 | 32.25 | 0.98 | 282.89 | 0.87 | 282.71 | 0.66 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 42.17 | 1.00 | 270.05 | 0.81 | 270.00 | 0.65 |\n| 14 | 48.09 | 1.00 | 230.83 | 0.85 | 230.73 | 0.64 |\n| 16 | 44.78 | 0.99 | 222.08 | 0.94 | 222.05 | 0.64 |\n| 18 | 45.23 | 0.99 | 190.53 | 0.92 | 190.43 | 0.63 |\n| 20 | 54.61 | 1.00 | 170.78 | 0.94 | 170.68 | 0.63 |",0]
["| Graph | \\|V\\|G | \\|E\\|G | dnG | \\|C\\|G | \\|c\\|<br>G | \\|c\\|<br>G | \\|c\\|<br>G |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 |","| ∆TR | 0.651 | 0.088 | 0.208 | 1.013 | 0.647 | 0.643 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",1]
["| Graph | \\|V\\|G | \\|E\\|G | dnG | \\|C\\|G | \\|c\\|<br>G | \\|c\\|<br>G | \\|c\\|<br>G |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 |","| Graphs | \\|V\\| | \\|E\\| | 50<br>\\|V\\| | N50 | T50 | 200<br>\\|V\\| | N200 | T200 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n| thermal2 | 1.2E6 | 3.7E6 | 1.14 | 20 | 23s | 1.06 | 36 | 9s |\n| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| Graph | \\|V\\|G | \\|E\\|G | dnG | \\|C\\|G | \\|c\\|<br>G | \\|c\\|<br>G | \\|c\\|<br>G |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 |","| ∆TR | 0.651 | 0.088 | 0.208 | 1.013 | 0.647 | 0.643 | 1 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 |\n| ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |",1]
["| Graph | \\|V\\|G | \\|E\\|G | dnG | \\|C\\|G | \\|c\\|<br>G | \\|c\\|<br>G | \\|c\\|<br>G |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 |","| ecology2 | 1.0E6 | 2.0E6 | 1.14 | 20 | 16s | 1.06 | 40 | 5s |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |  |  |",0]
["| Scenario | δ(S)t−tij | δ(S)t−tij | δ(T)t−tij | δ(T)t−tij | Conﬂictingtriples | RunTime(seconds) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0 | 0 | 948 | 160 | - | 0.0 |","| 2 | 0 | 0 | 11725 | 81 | - | 0.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 3 | 11682 | 81 | 12060 | 81 | 343 | 0.5 |\n| 4 | 11800 | 195 | 12186 | 81 | 343 | 2.0 |\n| 5 | 5227 | 131 | 6081 | 121 | 186 | 0.2 |",1]
["| Scenario | δ(S)t−tij | δ(S)t−tij | δ(T)t−tij | δ(T)t−tij | Conﬂictingtriples | RunTime(seconds) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0 | 0 | 948 | 160 | - | 0.0 |","| ObservationTimes |  |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 0.00.00.00.0<br>0.52.04.06.0<br>1.04.08.012.0<br>1.56.012.018.0<br>2.08.016.024.0<br>2.510.020.030.0 |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 4.04.04.04.0<br>4.56.08.010.0<br>5.08.012.016.0<br>5.510.016.022.0<br>6.012.020.028.0<br>6.514.024.034.0 |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 8.08.08.08.0<br>8.510.012.014.0<br>9.012.016.020.0<br>9.514.020.026.0<br>10.016.024.032.0<br>10.518.028.038.0 |",0]
["| Scenario | δ(S)t−tij | δ(S)t−tij | δ(T)t−tij | δ(T)t−tij | Conﬂictingtriples | RunTime(seconds) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0 | 0 | 948 | 160 | - | 0.0 |\n| 2 | 0 | 0 | 11725 | 81 | - | 0.0 |\n| 3 | 11682 | 81 | 12060 | 81 | 343 | 0.5 |","| 4 | 11800 | 195 | 12186 | 81 | 343 | 2.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5 | 5227 | 131 | 6081 | 121 | 186 | 0.2 |",1]
["| Scenario | δ(S)t−tij | δ(S)t−tij | δ(T)t−tij | δ(T)t−tij | Conﬂictingtriples | RunTime(seconds) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 0 | 0 | 948 | 160 | - | 0.0 |\n| 2 | 0 | 0 | 11725 | 81 | - | 0.0 |\n| 3 | 11682 | 81 | 12060 | 81 | 343 | 0.5 |","| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 0.00.00.00.0<br>0.52.04.06.0<br>1.04.08.012.0<br>1.56.012.018.0<br>2.08.016.024.0<br>2.510.020.030.0 |\n| --- | --- |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 4.04.04.04.0<br>4.56.08.010.0<br>5.08.012.016.0<br>5.510.016.022.0<br>6.012.020.028.0<br>6.514.024.034.0 |\n| k∆ | ∆4∆8∆12∆ |\n| t0<br>t1<br>t2<br>t3<br>t4<br>t5 | 8.08.08.08.0<br>8.510.012.014.0<br>9.012.016.020.0<br>9.514.020.026.0<br>10.016.024.032.0<br>10.518.028.038.0 |",0]
["| Method | #Parameters | Run-time(sec.) | GPU |\n| --- | --- | --- | --- |\n| MC | 58m | 2.38 | TitanBlack |\n| MDF | 138m | 8 | TitanBlack |\n| ELD | 138m | 0.5 | TitanBlack |\n| DCL | 138m | 1.5 | TitanBlack |\n| RFCN | 138m | 4.6 | TitanX |\n| DHS | 138m | 0.04 | TitanBlack |\n| DSS | 138m | 0.08 | TitanX |","| GRIDS16 | 67k | 0.02 | GTX1080 |\n| --- | --- | --- | --- |\n| GRIDS32 | 248k | 0.03 | GTX1080 |",1]
["| Method | #Parameters | Run-time(sec.) | GPU |\n| --- | --- | --- | --- |\n| MC | 58m | 2.38 | TitanBlack |\n| MDF | 138m | 8 | TitanBlack |\n| ELD | 138m | 0.5 | TitanBlack |\n| DCL | 138m | 1.5 | TitanBlack |\n| RFCN | 138m | 4.6 | TitanX |\n| DHS | 138m | 0.04 | TitanBlack |\n| DSS | 138m | 0.08 | TitanX |","| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| Method | #Parameters | Run-time(sec.) | GPU |\n| --- | --- | --- | --- |\n| MC | 58m | 2.38 | TitanBlack |","| MDF | 138m | 8 | TitanBlack |\n| --- | --- | --- | --- |\n| ELD | 138m | 0.5 | TitanBlack |\n| DCL | 138m | 1.5 | TitanBlack |\n| RFCN | 138m | 4.6 | TitanX |\n| DHS | 138m | 0.04 | TitanBlack |\n| DSS | 138m | 0.08 | TitanX |\n| GRIDS16 | 67k | 0.02 | GTX1080 |\n| GRIDS32 | 248k | 0.03 | GTX1080 |",1]
["| Method | #Parameters | Run-time(sec.) | GPU |\n| --- | --- | --- | --- |\n| MC | 58m | 2.38 | TitanBlack |","| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| --- | --- | --- | --- | --- |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1500 | 11.02 |\n| Kmeans | 5971 | 8.03 |","| PageRank | 1444 | 9.03 |\n| --- | --- | --- |\n| SIFT | 721 | 8.02 |",1]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1500 | 11.02 |\n| Kmeans | 5971 | 8.03 |","| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1378 | 4.10 |\n| Kmeans | 3347 | 8.68 |\n| PageRank | 4291 | 6.22 |",0]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1500 | 11.02 |\n| Kmeans | 5971 | 8.03 |","| PageRank | 1444 | 9.03 |\n| --- | --- | --- |\n| SIFT | 721 | 8.02 |",1]
["| Workloads | ExecutionTime(Second) |  |\n| --- | --- | --- |\n| Hadoopversion | Proxyversion |  |\n| TeraSort | 1500 | 11.02 |\n| Kmeans | 5971 | 8.03 |","| Kmeans | 3347 | 8.68 |\n| --- | --- | --- |\n| PageRank | 4291 | 6.22 |",0]
["| R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.0899021679 | 0.06 |\n| 5 | autographshore | 0.0742552483 | 0.11 |\n| 9 | asylumfruit | 0.0720444643 | 0.07 |\n| 12 | boyrooster | 0.0907164485 | 0.16 |\n| 17 | coastforest | 0.1106378337 | 0.26 |\n| 21 | boysage | 0.2017739882 | 0.16 |\n| 25 | forestgraveyard | 0.2015952767 | 0.33 |\n| 29 | birdwoodland | 0.1651985693 | 0.12 |\n| 33 | hillwoodland | 0.2918421392 | 0.29 |\n| 37 | magicianoracle | 0.3057403627 | 0.2 |\n| 41 | oraclesage | 0.5279307332 | 0.09 |\n| 47 | furnacestove | 0.1651985693 | 0.3 |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |\n| 59 | cockrooster | 0.9093502924 | 0.94 |\n| 60 | boylad | 0.9093502924 | 0.6 |\n| 61 | cushionpillow | 0.8157293861 | 0.29 |\n| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |\n| 63 | automobilecar | 0.8185286992 | 0.52 |","| 64 | gemjewel | 0.8175091596 | 0.65 |\n| --- | --- | --- | --- |\n| 65 | middaynoon | 0.9993931059 | 0.93 |",1]
["| R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.0899021679 | 0.06 |\n| 5 | autographshore | 0.0742552483 | 0.11 |\n| 9 | asylumfruit | 0.0720444643 | 0.07 |\n| 12 | boyrooster | 0.0907164485 | 0.16 |\n| 17 | coastforest | 0.1106378337 | 0.26 |\n| 21 | boysage | 0.2017739882 | 0.16 |\n| 25 | forestgraveyard | 0.2015952767 | 0.33 |\n| 29 | birdwoodland | 0.1651985693 | 0.12 |\n| 33 | hillwoodland | 0.2918421392 | 0.29 |\n| 37 | magicianoracle | 0.3057403627 | 0.2 |\n| 41 | oraclesage | 0.5279307332 | 0.09 |\n| 47 | furnacestove | 0.1651985693 | 0.3 |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |\n| 59 | cockrooster | 0.9093502924 | 0.94 |\n| 60 | boylad | 0.9093502924 | 0.6 |\n| 61 | cushionpillow | 0.8157293861 | 0.29 |\n| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |\n| 63 | automobilecar | 0.8185286992 | 0.52 |","| R&GNo | R&Gpair | R&GSimilarity | Lee2014 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.005 | 0.01 |\n| 2 | noonstring | 0.01 | 0.005 |\n| 3 | roostervoyage | 0.01 | 0.0125 |\n| 4 | fruitfurnace | 0.0125 | 0.0475 |\n| 5 | autographshore | 0.015 | 0.005 |\n| 6 | automobilewizard | 0.0275 | 0.02 |\n| 7 | moundstove | 0.035 | 0.005 |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["| R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.0899021679 | 0.06 |\n| 5 | autographshore | 0.0742552483 | 0.11 |\n| 9 | asylumfruit | 0.0720444643 | 0.07 |\n| 12 | boyrooster | 0.0907164485 | 0.16 |\n| 17 | coastforest | 0.1106378337 | 0.26 |\n| 21 | boysage | 0.2017739882 | 0.16 |\n| 25 | forestgraveyard | 0.2015952767 | 0.33 |\n| 29 | birdwoodland | 0.1651985693 | 0.12 |\n| 33 | hillwoodland | 0.2918421392 | 0.29 |\n| 37 | magicianoracle | 0.3057403627 | 0.2 |\n| 41 | oraclesage | 0.5279307332 | 0.09 |\n| 47 | furnacestove | 0.1651985693 | 0.3 |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |","| 59 | cockrooster | 0.9093502924 | 0.94 |\n| --- | --- | --- | --- |\n| 60 | boylad | 0.9093502924 | 0.6 |\n| 61 | cushionpillow | 0.8157293861 | 0.29 |\n| 62 | cemeterygraveyard | 0.9985079423 | 0.51 |\n| 63 | automobilecar | 0.8185286992 | 0.52 |\n| 64 | gemjewel | 0.8175091596 | 0.65 |\n| 65 | middaynoon | 0.9993931059 | 0.93 |",1]
["| R&GNo | R&Gpair | ProposedAlgorithm<br>Similarity | A.Islam2008 |\n| --- | --- | --- | --- |\n| 1 | cordsmile | 0.0899021679 | 0.06 |\n| 5 | autographshore | 0.0742552483 | 0.11 |\n| 9 | asylumfruit | 0.0720444643 | 0.07 |\n| 12 | boyrooster | 0.0907164485 | 0.16 |\n| 17 | coastforest | 0.1106378337 | 0.26 |\n| 21 | boysage | 0.2017739882 | 0.16 |\n| 25 | forestgraveyard | 0.2015952767 | 0.33 |\n| 29 | birdwoodland | 0.1651985693 | 0.12 |\n| 33 | hillwoodland | 0.2918421392 | 0.29 |\n| 37 | magicianoracle | 0.3057403627 | 0.2 |\n| 41 | oraclesage | 0.5279307332 | 0.09 |\n| 47 | furnacestove | 0.1651985693 | 0.3 |\n| 48 | magicianwizard | 0.9985079423 | 0.34 |\n| 49 | hillmound | 0.8148010746 | 0.15 |\n| 50 | cordstring | 0.8148010746 | 0.49 |\n| 51 | glasstumbler | 0.8561402541 | 0.28 |\n| 52 | grinsmile | 0.9910074537 | 0.32 |\n| 53 | serfslave | 0.8673305438 | 0.44 |\n| 54 | journeyvoyage | 0.8185286992 | 0.41 |\n| 55 | autographsignature | 0.8499457067 | 0.19 |\n| 56 | coastshore | 0.8179120223 | 0.47 |\n| 57 | forestwoodland | 0.9780261147 | 0.26 |\n| 58 | implementtool | 0.0822919486 | 0.51 |","| 7 | moundstove | 0.035 | 0.005 |\n| --- | --- | --- | --- |\n| 8 | grinimplement | 0.045 | 0.005 |\n| 9 | asylumfruit | 0.0475 | 0.005 |\n| 10 | asylummonk | 0.0975 | 0.0375 |\n| 11 | graveyardmadhouse | 0.105 | 0.0225 |\n| 12 | boyrooster | 0.11 | 0.0075 |\n| 13 | glassmagician | 0.11 | 0.1075 |\n| 14 | cushionjewel | 0.1125 | 0.0525 |\n| 15 | monkslave | 0.1425 | 0.045 |\n| 16 | asylumcemetery | 0.1975 | 0.0375 |\n| 17 | coastforest | 0.2125 | 0.0475 |\n| 18 | grinlad | 0.22 | 0.0125 |\n| 19 | shorewoodland | 0.225 | 0.0825 |\n| 20 | monkoracle | 0.2275 | 0.1125 |\n| 21 | boysage | 0.24 | 0.0425 |\n| 22 | automobilecushion | 0.2425 | 0.02 |\n| 23 | moundshore | 0.2425 | 0.035 |\n| 24 | ladwizard | 0.2475 | 0.0325 |\n| 25 | forestgraveyard | 0.25 | 0.065 |\n| 26 | foodrooster | 0.2725 | 0.055 |\n| 27 | cemeterywoodland | 0.295 | 0.0375 |\n| 28 | shorevoyage | 0.305 | 0.02 |\n| 29 | birdwoodland | 0.31 | 0.0125 |\n| 30 | coasthill | 0.315 | 0.1 |\n| 31 | furnaceimplement | 0.3425 | 0.05 |\n| 32 | cranerooster | 0.3525 | 0.02 |\n| 33 | hillwoodland | 0.37 | 0.145 |\n| 34 | carjourney | 0.3875 | 0.0725 |\n| 35 | cemeterymound | 0.4225 | 0.0575 |\n| 36 | glassjewel | 0.445 | 0.1075 |\n| 37 | magicianoracle | 0.455 | 0.13 |\n| 38 | craneimplement | 0.5925 | 0.185 |\n| 39 | brotherlad | 0.6025 | 0.1275 |\n| 40 | sagewizard | 0.615 | 0.1525 |\n| 41 | oraclesage | 0.6525 | 0.2825 |\n| 42 | birdcock | 0.6575 | 0.035 |\n| 43 | birdcrane | 0.67 | 0.1625 |\n| 44 | foodfruit | 0.6725 | 0.2425 |\n| 45 | brothermonk | 0.685 | 0.045 |\n| 46 | asylummadhouse | 0.76 | 0.215 |\n| 47 | furnacestove | 0.7775 | 0.3475 |\n| 48 | magicianwizard | 0.8025 | 0.355 |\n| 49 | hillmound | 0.8225 | 0.2925 |\n| 50 | cordstring | 0.8525 | 0.47 |\n| 51 | glasstumbler | 0.8625 | 0.1375 |\n| 52 | grinsmile | 0.865 | 0.485 |\n| 53 | serfslave | 0.865 | 0.4825 |\n| 54 | journeyvoyage | 0.895 | 0.36 |\n| 55 | autographsignature | 0.8975 | 0.405 |\n| 56 | coastshore | 0.9 | 0.5875 |",0]
["| Datasets | Methods | ImagetoSentence | SentencetoImage |\n| --- | --- | --- | --- |\n| R@1R@5R@10Medr | R@1R@5R@10Medr |  |  |\n| Flickr8K | DeViSE<br>SDT-RNN<br>+O<br>DeFrag<br>A<br>Kirosetal.<br>V<br>Kirosetal.<br>A<br>m-RNN<br>V<br>Mind’sEye<br>+O,V<br>DeepVS<br>G<br>NIC | 4.816.527.328<br>4.518.028.632<br>12.632.944.014<br>13.536.245.713<br>1840.9558<br>14.537.248.511<br>17.342.557.47<br>16.540.654.27.6<br>20-606 | 5.920.129.629<br>6.118.529.029<br>9.729.642.515<br>10.431.043.714<br>12.53751.510<br>11.531.042.415<br>15.440.650.18<br>11.832.144.712.4<br>19-645 |","| Bi-LSTM<br>A<br>Bi-S-LSTM<br>A<br>Bi-F-LSTM<br>V<br>Bi-LSTM | 21.344.756.56.5<br>19.643.755.77<br>19.944.056.07<br>29.358.269.63 | 15.137.850.19<br>14.536.448.310.5<br>14.937.449.810<br>19.747.060.65 |  |\n| --- | --- | --- | --- |\n| Flickr30K | DeViSE<br>SDT-RNN<br>A<br>Kirosetal.<br>V<br>Kirosetal.<br>A<br>LRCN<br>G<br>NIC<br>A<br>m-RNN<br>V<br>Mind’sEye<br>+O<br>DeFrag<br>+O,V<br>DeepVS | 4.518.129.226<br>9.629.841.116<br>14.839.250.910<br>23.050.762.95<br>1434.94711<br>17-567<br>18.440.250.910<br>18.545.758.17<br>16.440.254.78<br>22.248.261.44.8 | 6.721.932.725<br>8.929.841.116<br>11.834.046.313<br>16.842.056.58<br>----<br>17-578<br>12.631.241.516<br>16.642.558.98<br>10.331.444.513<br>15.237.750.59.2 |\n| Bi-LSTM<br>A<br>Bi-S-LSTM<br>A<br>Bi-F-LSTM<br>V<br>Bi-LSTM | 18.741.252.68<br>2143.054.17<br>2044.455.27<br>28.153.164.24 | 14.034.044.014<br>15.135.346.012<br>15.135.846.812<br>19.643.855.87 |  |\n| MSCOCO | +O,V<br>DeepVS | 16.539.252.09 | 10.729.642.214.0 |\n| Bi-LSTM<br>A<br>Bi-S-LSTM<br>A<br>Bi-F-LSTM<br>V<br>Bi-LSTM | 10.828.138.918<br>13.433.144.713<br>11.23041.216<br>16.639.452.49 | 7.822.432.824<br>9.426.537.719<br>8.324.935.122<br>11.630.943.413 |  |",1]
["| Datasets | Methods | ImagetoSentence | SentencetoImage |\n| --- | --- | --- | --- |\n| R@1R@5R@10Medr | R@1R@5R@10Medr |  |  |\n| Flickr8K | DeViSE<br>SDT-RNN<br>+O<br>DeFrag<br>A<br>Kirosetal.<br>V<br>Kirosetal.<br>A<br>m-RNN<br>V<br>Mind’sEye<br>+O,V<br>DeepVS<br>G<br>NIC | 4.816.527.328<br>4.518.028.632<br>12.632.944.014<br>13.536.245.713<br>1840.9558<br>14.537.248.511<br>17.342.557.47<br>16.540.654.27.6<br>20-606 | 5.920.129.629<br>6.118.529.029<br>9.729.642.515<br>10.431.043.714<br>12.53751.510<br>11.531.042.415<br>15.440.650.18<br>11.832.144.712.4<br>19-645 |","| Datasets | WN18 | FB15K |  |  |\n| --- | --- | --- | --- | --- |\n| Metric | MeanRank | MeanRank |  |  |\n| Raw | Filter | Raw | Filter |  |\n| Unstructured<br>RESCAL<br>SE<br>SME(linear)<br>SME(bilinear)<br>LFM<br>TransE<br>TransH(bern)<br>TransH(unif) | 315<br>1,180<br>1,011<br>545<br>526<br>469<br>263<br>401<br>318 | 304<br>1,163<br>985<br>533<br>509<br>456<br>251<br>388<br>303 | 1,074<br>828<br>273<br>274<br>284<br>283<br>243<br>212<br>211 | 979<br>683<br>162<br>154<br>158<br>164<br>125<br>87<br>84 |\n| TransA | 165 | 153 | 164 | 58 |",0]
["| Datasets | Methods | ImagetoSentence | SentencetoImage |\n| --- | --- | --- | --- |\n| R@1R@5R@10Medr | R@1R@5R@10Medr |  |  |\n| Flickr8K | DeViSE<br>SDT-RNN<br>+O<br>DeFrag<br>A<br>Kirosetal.<br>V<br>Kirosetal.<br>A<br>m-RNN<br>V<br>Mind’sEye<br>+O,V<br>DeepVS<br>G<br>NIC | 4.816.527.328<br>4.518.028.632<br>12.632.944.014<br>13.536.245.713<br>1840.9558<br>14.537.248.511<br>17.342.557.47<br>16.540.654.27.6<br>20-606 | 5.920.129.629<br>6.118.529.029<br>9.729.642.515<br>10.431.043.714<br>12.53751.510<br>11.531.042.415<br>15.440.650.18<br>11.832.144.712.4<br>19-645 |","| Bi-LSTM<br>A<br>Bi-S-LSTM<br>A<br>Bi-F-LSTM<br>V<br>Bi-LSTM | 21.344.756.56.5<br>19.643.755.77<br>19.944.056.07<br>29.358.269.63 | 15.137.850.19<br>14.536.448.310.5<br>14.937.449.810<br>19.747.060.65 |  |\n| --- | --- | --- | --- |\n| Flickr30K | DeViSE<br>SDT-RNN<br>A<br>Kirosetal.<br>V<br>Kirosetal.<br>A<br>LRCN<br>G<br>NIC<br>A<br>m-RNN<br>V<br>Mind’sEye<br>+O<br>DeFrag<br>+O,V<br>DeepVS | 4.518.129.226<br>9.629.841.116<br>14.839.250.910<br>23.050.762.95<br>1434.94711<br>17-567<br>18.440.250.910<br>18.545.758.17<br>16.440.254.78<br>22.248.261.44.8 | 6.721.932.725<br>8.929.841.116<br>11.834.046.313<br>16.842.056.58<br>----<br>17-578<br>12.631.241.516<br>16.642.558.98<br>10.331.444.513<br>15.237.750.59.2 |\n| Bi-LSTM<br>A<br>Bi-S-LSTM<br>A<br>Bi-F-LSTM<br>V<br>Bi-LSTM | 18.741.252.68<br>2143.054.17<br>2044.455.27<br>28.153.164.24 | 14.034.044.014<br>15.135.346.012<br>15.135.846.812<br>19.643.855.87 |  |\n| MSCOCO | +O,V<br>DeepVS | 16.539.252.09 | 10.729.642.214.0 |\n| Bi-LSTM<br>A<br>Bi-S-LSTM<br>A<br>Bi-F-LSTM<br>V<br>Bi-LSTM | 10.828.138.918<br>13.433.144.713<br>11.23041.216<br>16.639.452.49 | 7.822.432.824<br>9.426.537.719<br>8.324.935.122<br>11.630.943.413 |  |",1]
["| Datasets | Methods | ImagetoSentence | SentencetoImage |\n| --- | --- | --- | --- |\n| R@1R@5R@10Medr | R@1R@5R@10Medr |  |  |\n| Flickr8K | DeViSE<br>SDT-RNN<br>+O<br>DeFrag<br>A<br>Kirosetal.<br>V<br>Kirosetal.<br>A<br>m-RNN<br>V<br>Mind’sEye<br>+O,V<br>DeepVS<br>G<br>NIC | 4.816.527.328<br>4.518.028.632<br>12.632.944.014<br>13.536.245.713<br>1840.9558<br>14.537.248.511<br>17.342.557.47<br>16.540.654.27.6<br>20-606 | 5.920.129.629<br>6.118.529.029<br>9.729.642.515<br>10.431.043.714<br>12.53751.510<br>11.531.042.415<br>15.440.650.18<br>11.832.144.712.4<br>19-645 |","| Unstructured<br>RESCAL<br>SE<br>SME(linear)<br>SME(bilinear)<br>LFM<br>TransE<br>TransH(bern)<br>TransH(unif) | 315<br>1,180<br>1,011<br>545<br>526<br>469<br>263<br>401<br>318 | 304<br>1,163<br>985<br>533<br>509<br>456<br>251<br>388<br>303 | 1,074<br>828<br>273<br>274<br>284<br>283<br>243<br>212<br>211 | 979<br>683<br>162<br>154<br>158<br>164<br>125<br>87<br>84 |\n| --- | --- | --- | --- | --- |\n| TransA | 165 | 153 | 164 | 58 |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |","| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |\n| \\numberofauthors | 200 | Authorenumeration |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",0]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\numberofauthors | 200 | Authorenumeration |\n| --- | --- | --- |\n| \\table | 300 | Fortables |\n| \\table* | 400 | Forwidertables |",1]
["| Command | ANumber | Comments |\n| --- | --- | --- |\n| \\alignauthor | 100 | Authoralignment |","| \\table | 300 | Fortables |\n| --- | --- | --- |\n| \\table* | 400 | Forwidertables |",0]
["| Oid | f1 | f2 | f3 | f4 | P(o)i |\n| --- | --- | --- | --- | --- | --- |\n| o1 | F | F | F | F | 0.03 |\n| o2 | F | F | F | T | 0.06 |\n| o3 | F | F | T | F | 0.07 |\n| o4 | F | F | T | T | 0.04 |\n| o5 | F | T | F | F | 0.09 |\n| o6 | F | T | F | T | 0.01 |","| o7 | F | T | T | F | 0.11 |\n| --- | --- | --- | --- | --- | --- |\n| o8 | F | T | T | T | 0.09 |\n| o9 | T | F | F | F | 0.04 |\n| o10 | T | F | F | T | 0.04 |\n| o11 | T | F | T | F | 0.04 |\n| o12 | T | F | T | T | 0.05 |\n| o13 | T | T | F | F | 0.06 |\n| o14 | T | T | F | T | 0.09 |\n| o15 | T | T | T | F | 0.07 |\n| o16 | T | T | T | T | 0.11 |",1]
["| Oid | f1 | f2 | f3 | f4 | P(o)i |\n| --- | --- | --- | --- | --- | --- |\n| o1 | F | F | F | F | 0.03 |\n| o2 | F | F | F | T | 0.06 |\n| o3 | F | F | T | F | 0.07 |\n| o4 | F | F | T | T | 0.04 |\n| o5 | F | T | F | F | 0.09 |\n| o6 | F | T | F | T | 0.01 |","|  | SSC | LRR | MFC10 | MFC20 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| K | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I | T(s) | I | T/I |\n| 2 | 1.73 | 107 | 0.02 | 1.73 | 61 | 0.03 | 1.14 | 24 | 0.05 | 0.96 | 24 | 0.04 |\n| 4 | 5.69 | 108 | 0.05 | 6.32 | 64 | 0.10 | 2.70 | 25 | 0.11 | 2.19 | 24 | 0.09 |\n| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["| Oid | f1 | f2 | f3 | f4 | P(o)i |\n| --- | --- | --- | --- | --- | --- |\n| o1 | F | F | F | F | 0.03 |\n| o2 | F | F | F | T | 0.06 |\n| o3 | F | F | T | F | 0.07 |\n| o4 | F | F | T | T | 0.04 |\n| o5 | F | T | F | F | 0.09 |\n| o6 | F | T | F | T | 0.01 |\n| o7 | F | T | T | F | 0.11 |\n| o8 | F | T | T | T | 0.09 |","| o9 | T | F | F | F | 0.04 |\n| --- | --- | --- | --- | --- | --- |\n| o10 | T | F | F | T | 0.04 |\n| o11 | T | F | T | F | 0.04 |\n| o12 | T | F | T | T | 0.05 |\n| o13 | T | T | F | F | 0.06 |\n| o14 | T | T | F | T | 0.09 |\n| o15 | T | T | T | F | 0.07 |\n| o16 | T | T | T | T | 0.11 |",1]
["| Oid | f1 | f2 | f3 | f4 | P(o)i |\n| --- | --- | --- | --- | --- | --- |\n| o1 | F | F | F | F | 0.03 |\n| o2 | F | F | F | T | 0.06 |\n| o3 | F | F | T | F | 0.07 |\n| o4 | F | F | T | T | 0.04 |\n| o5 | F | T | F | F | 0.09 |\n| o6 | F | T | F | T | 0.01 |\n| o7 | F | T | T | F | 0.11 |\n| o8 | F | T | T | T | 0.09 |","| 6 | 12.20 | 109 | 0.11 | 14.19 | 64 | 0.22 | 4.95 | 25 | 0.20 | 3.36 | 24 | 0.14 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 8 | 21.33 | 110 | 0.19 | 25.14 | 64 | 0.39 | 7.62 | 27 | 0.28 | 5.48 | 32 | 0.17 |\n| 10 | 37.54 | 110 | 0.34 | 40.82 | 64 | 0.64 | 11.17 | 35 | 0.32 | 7.75 | 32 | 0.24 |\n| 12 | 52.08 | 111 | 0.47 | 67.52 | 65 | 1.04 | 14.32 | 35 | 0.41 | 9.77 | 32 | 0.31 |\n| 14 | 69.28 | 111 | 0.62 | 109.57 | 66 | 1.66 | 19.09 | 35 | 0.54 | 12.39 | 32 | 0.39 |\n| 16 | 93.08 | 111 | 0.84 | 142.68 | 65 | 2.20 | 22.96 | 34 | 0.67 | 16.18 | 32 | 0.51 |\n| 18 | 124.00 | 111 | 1.12 | 185.63 | 65 | 2.85 | 28.12 | 35 | 0.80 | 19.17 | 32 | 0.60 |\n| 20 | 152.89 | 111 | 1.38 | 263.19 | 72 | 3.65 | 34.02 | 35 | 0.97 | 23.60 | 32 | 0.74 |\n| Avg. | 56.98 | 110 | 0.51 | 85.68 | 65 | 1.28 | 14.61 | 31 | 0.44 | 10.09 | 30 | 0.32 |",0]
["| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |\n| DG2 | 69.71 | 1238960 | 18.998 |","| DG4 | 68.98 | 1202096 | 18.595 |\n| --- | --- | --- | --- |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",1]
["| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |\n| DG2 | 69.71 | 1238960 | 18.998 |","| Models | IOU | Params | GFLOPs |\n| --- | --- | --- | --- |\n| ERFNet | 70.45 | 2038448 | 27.705 |\n| D* | 68.55 | 547120 | 10.597 |\n| DG2* | 65.35 | 395568 | 8.852 |\n| DG4* | 61.42 | 319792 | 7.980 |\n| DG8* | 59.15 | 281904 | 7.543 |\n| DG2S* | 65.36 | 395568 | 8.852 |\n| DG4S* | 61.27 | 319792 | 7.980 |\n| DG8S* | 59.89 | 281904 | 7.543 |",0]
["| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |","| DG2 | 69.71 | 1238960 | 18.998 |\n| --- | --- | --- | --- |\n| DG4 | 68.98 | 1202096 | 18.595 |\n| DG8 | 69.57 | 1183664 | 18.394 |\n| DG2S | 70.62 | 1238960 | 18.998 |\n| DG4S | 69.59 | 1202096 | 18.595 |\n| DG8S | 69.57 | 1183664 | 18.394 |",1]
["| Models | IOU | Params | GFlops |\n| --- | --- | --- | --- |\n| D | 69.26 | 1291648 | 19.025 |","| DG2S* | 65.36 | 395568 | 8.852 |\n| --- | --- | --- | --- |\n| DG4S* | 61.27 | 319792 | 7.980 |\n| DG8S* | 59.89 | 281904 | 7.543 |",0]
["| GeneName | TranscriptName | PrimerSequence-Forward | PrimerSequence-Reverse |\n| --- | --- | --- | --- |\n| ERBB2 | NM001005862 | 5-CACAGATAAAACGGGGGCAC | 5-CAGGGTCTGAGTCTCTGTGCT |\n| NSD1 | NM022455 | 5-GACACGGTGCAGTCAAATCG | 5-GCTGCCGTCCACTTCATTTC |\n| ∗<br>U2AF1 | NM001025203 | 5-TTGGAGCATGTCGTCATGGAG | 5-CTGTGCACTGTTTTGGGGATT |\n| PDGFB | NM002608 | 5-CTCCGCGCTTTCCGATTTTG | 5-AGAGGAAAAGGAACACGGCA |\n| ∗<br>DNMT3A | NM153759 | 5-GCAGCTACTTCCAGAGCTTCA | 5-TTTCAGGCTACGATCCACGC |","| ∗<br>GNAS | NM016592 | 5-CGAGTCTTAGGCTGCGGAAT | 5-GCACCTACCTTCCTGACCAC |\n| --- | --- | --- | --- |\n| RBM15 | NM001201545 | 5-ATGCCTTCCCACCTTGTGAG | 5-TCAACCAGTTTTGCACGGAC |\n| RET | NM020630 | 5-TGCCCAGCAACTTAGGATGG | 5-TTGATTCCCACCCCAGAAGC |\n| TCF3 | NM001136139 | 5-GAGAAAGACCTGAGGGACCG | 5-GGCCTCGTTAATATCCCGCA |\n| WHSC1L1 | NM017778 | 5-GCCTCTCAGTACAGCACTCC | 5-GCCTGCCCATGTTAATGCTG |\n| CBFB | NM001755 | 5-GGATGCATTAGCACAACAGGC | 5-GCCAGCAGCTGTGAAACTCT |\n| TP53 | IsoGroup1<br>IsoGroup2 | 5-GATGAAGCTCCCAGAATGCC<br>5-GAGGTGTAGACGCCAACTCT | 5-GTAGCTGCCCTGGTAGGTTT<br>5-AAGTCAGGGCACAAGTGAACA |\n| ∗<br>NF1 | NM000267 | 5-TGAGGAAAACCAGCGGAACC | 5-GCTGGCTAACCACCTGGTATAAA |",1]
["| GeneName | TranscriptName | PrimerSequence-Forward | PrimerSequence-Reverse |\n| --- | --- | --- | --- |\n| ERBB2 | NM001005862 | 5-CACAGATAAAACGGGGGCAC | 5-CAGGGTCTGAGTCTCTGTGCT |\n| NSD1 | NM022455 | 5-GACACGGTGCAGTCAAATCG | 5-GCTGCCGTCCACTTCATTTC |\n| ∗<br>U2AF1 | NM001025203 | 5-TTGGAGCATGTCGTCATGGAG | 5-CTGTGCACTGTTTTGGGGATT |\n| PDGFB | NM002608 | 5-CTCCGCGCTTTCCGATTTTG | 5-AGAGGAAAAGGAACACGGCA |\n| ∗<br>DNMT3A | NM153759 | 5-GCAGCTACTTCCAGAGCTTCA | 5-TTTCAGGCTACGATCCACGC |","| NetworkTypeRef. | \\|V\\|\\|E\\|\\|C(G)\\|deg |\n| --- | --- |\n| facebook<br>eva<br>social<br>slashdot<br>loans<br>twitter | 3621431032.4<br>403988234143.7<br>44754664152.1<br>77360905468113.1<br>8917133949792935074.69<br>4650178347977553.59 |\n| email-enroncommuni-<br>email-eucation<br>wikitalk-china | 113354512159.6<br>3369618081124810.7<br>2248326807201≈3<br>12173653391055172.9 |\n| sc-ppi<br>biological<br>yeast-ppi<br>homo-pi | 4534596178.9<br>14581948482.7<br>2224660957≈6<br>1663511536413513.87 |\n| as-graph-2<br>as-graph-3<br>internet<br>routeview<br>as-caida<br>itdk | 30155156323.4<br>488592765313.8<br>535710328103.9<br>105152145524.1<br>264755338124.03<br>1909146076101556.4 |\n| gnutella-24<br>peer-to-peer<br>gnutella-30<br>gnutella-31 | 8717315253387.2<br>264986535914.9<br>36646883036024.8<br>62561295756554.7 |\n| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |\n| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |\n| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 |",0]
["| GeneName | TranscriptName | PrimerSequence-Forward | PrimerSequence-Reverse |\n| --- | --- | --- | --- |\n| ERBB2 | NM001005862 | 5-CACAGATAAAACGGGGGCAC | 5-CAGGGTCTGAGTCTCTGTGCT |\n| NSD1 | NM022455 | 5-GACACGGTGCAGTCAAATCG | 5-GCTGCCGTCCACTTCATTTC |\n| ∗<br>U2AF1 | NM001025203 | 5-TTGGAGCATGTCGTCATGGAG | 5-CTGTGCACTGTTTTGGGGATT |\n| PDGFB | NM002608 | 5-CTCCGCGCTTTCCGATTTTG | 5-AGAGGAAAAGGAACACGGCA |\n| ∗<br>DNMT3A | NM153759 | 5-GCAGCTACTTCCAGAGCTTCA | 5-TTTCAGGCTACGATCCACGC |\n| ∗<br>GNAS | NM016592 | 5-CGAGTCTTAGGCTGCGGAAT | 5-GCACCTACCTTCCTGACCAC |\n| RBM15 | NM001201545 | 5-ATGCCTTCCCACCTTGTGAG | 5-TCAACCAGTTTTGCACGGAC |\n| RET | NM020630 | 5-TGCCCAGCAACTTAGGATGG | 5-TTGATTCCCACCCCAGAAGC |\n| TCF3 | NM001136139 | 5-GAGAAAGACCTGAGGGACCG | 5-GGCCTCGTTAATATCCCGCA |\n| WHSC1L1 | NM017778 | 5-GCCTCTCAGTACAGCACTCC | 5-GCCTGCCCATGTTAATGCTG |\n| CBFB | NM001755 | 5-GGATGCATTAGCACAACAGGC | 5-GCCAGCAGCTGTGAAACTCT |","| TP53 | IsoGroup1<br>IsoGroup2 | 5-GATGAAGCTCCCAGAATGCC<br>5-GAGGTGTAGACGCCAACTCT | 5-GTAGCTGCCCTGGTAGGTTT<br>5-AAGTCAGGGCACAAGTGAACA |\n| --- | --- | --- | --- |\n| ∗<br>NF1 | NM000267 | 5-TGAGGAAAACCAGCGGAACC | 5-GCTGGCTAACCACCTGGTATAAA |",1]
["| GeneName | TranscriptName | PrimerSequence-Forward | PrimerSequence-Reverse |\n| --- | --- | --- | --- |\n| ERBB2 | NM001005862 | 5-CACAGATAAAACGGGGGCAC | 5-CAGGGTCTGAGTCTCTGTGCT |\n| NSD1 | NM022455 | 5-GACACGGTGCAGTCAAATCG | 5-GCTGCCGTCCACTTCATTTC |\n| ∗<br>U2AF1 | NM001025203 | 5-TTGGAGCATGTCGTCATGGAG | 5-CTGTGCACTGTTTTGGGGATT |\n| PDGFB | NM002608 | 5-CTCCGCGCTTTCCGATTTTG | 5-AGAGGAAAAGGAACACGGCA |\n| ∗<br>DNMT3A | NM153759 | 5-GCAGCTACTTCCAGAGCTTCA | 5-TTTCAGGCTACGATCCACGC |\n| ∗<br>GNAS | NM016592 | 5-CGAGTCTTAGGCTGCGGAAT | 5-GCACCTACCTTCCTGACCAC |\n| RBM15 | NM001201545 | 5-ATGCCTTCCCACCTTGTGAG | 5-TCAACCAGTTTTGCACGGAC |\n| RET | NM020630 | 5-TGCCCAGCAACTTAGGATGG | 5-TTGATTCCCACCCCAGAAGC |\n| TCF3 | NM001136139 | 5-GAGAAAGACCTGAGGGACCG | 5-GGCCTCGTTAATATCCCGCA |\n| WHSC1L1 | NM017778 | 5-GCCTCTCAGTACAGCACTCC | 5-GCCTGCCCATGTTAATGCTG |\n| CBFB | NM001755 | 5-GGATGCATTAGCACAACAGGC | 5-GCCAGCAGCTGTGAAACTCT |","| web-notredamweb<br>web-berkstan | 2552652234572115.2<br>3257291497134126.8<br>6547827600595120.1 |\n| --- | --- |\n| product<br>amazon-2co-purchasing | 334863925872215.5<br>400727320044019411.7 |\n| openflight<br>infrastructure<br>power-grid<br>road-pa | 1039130512.5<br>3397192312111.3<br>4941659412.7<br>1087562308302822.83 |",0]
["| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |","| DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",1]
["| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |","| η | 0.001 | 0.005 | 0.01 | 0.0125 |\n| --- | --- | --- | --- | --- |\n| Nc | 5 | 9 | 16 | 20 |\n| τ | 3 | 5 | 6 | 7 |\n| a | 23 | 24 | 24 | 27 |\n| Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |",0]
["| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |","| DE(c,c)i | 0.000 | 0.050 | 0.055 | 0.055 | 0.055 | 0.055 |\n| --- | --- | --- | --- | --- | --- | --- |\n| SFD | 43490 | 24602 | 14370 | 9041 | 3444 | 0 |\n| KTD | 123626 | 72938 | 45636 | 28652 | 11054 | 0 |",1]
["| τ | 0.00 | 0.05 | 0.10 | 0.15 | 0.20 | 0.25 |\n| --- | --- | --- | --- | --- | --- | --- |\n| DE(c,c)d | 0.000 | 0.050 | 0.100 | 0.150 | 0.200 | 0.231 |","| τ | 3 | 5 | 6 | 7 |\n| --- | --- | --- | --- | --- |\n| a | 23 | 24 | 24 | 27 |\n| Pc | 0.9999 | 0.9636 | 0.5014 | 0.1618 |",0]
["| Metric | Description |\n| --- | --- |\n| Executiontime | Measuredinseconds |","| CPUusage | TotalCPUtimepersecond |\n| --- | --- |\n| Totalmemorysize | MeasuredinGB |\n| CPI | Cyclesperinstruction |\n| MAI | Thenumberofmemoryaccesses<br>perinstruction |",1]
["| Metric | Description |\n| --- | --- |\n| Executiontime | Measuredinseconds |","| Metric | Value |\n| --- | --- |\n| NumberofFilers | 2,080 |\n| NumberofFilings | 2,175 |\n| NumberofFilingDocuments | 224,187 |\n| TimetoRun | 24hrs |\n| SizeofRawDocuments | 3.7GB |\n| SizeofExtractedText | 1.7GB |",0]
["| Metric | Description |\n| --- | --- |\n| Executiontime | Measuredinseconds |\n| CPUusage | TotalCPUtimepersecond |\n| Totalmemorysize | MeasuredinGB |","| CPI | Cyclesperinstruction |\n| --- | --- |\n| MAI | Thenumberofmemoryaccesses<br>perinstruction |",1]
["| Metric | Description |\n| --- | --- |\n| Executiontime | Measuredinseconds |\n| CPUusage | TotalCPUtimepersecond |\n| Totalmemorysize | MeasuredinGB |","| TimetoRun | 24hrs |\n| --- | --- |\n| SizeofRawDocuments | 3.7GB |\n| SizeofExtractedText | 1.7GB |",0]
["|  | AdhocScript | GeStore |\n| --- | --- | --- |\n| WriteFASTA | 63minutes |  |","| Formatdb | 34minutes |  |\n| --- | --- | --- |\n| CopyBLASTDBtonodes | 109minutes |  |\n| Totalvs.GeStoreadd | 206minutes | 80minutes |\n| CreateSQLiteDB | 142minutes |  |\n| CopySQLiteDBtonodes | 173minutes |  |\n| Totalvs.GeStoreretrieve | 522minutes | 191minutes |",1]
["|  | AdhocScript | GeStore |\n| --- | --- | --- |\n| WriteFASTA | 63minutes |  |","| GPUconﬁg | Amountorcount |\n| --- | --- |\n| NumberofSM | 16 |\n| NumberofSPperSM | 192 |\n| Sharedmemoryperblock | 49,152bytes |\n| Maximumthreadsperblock | 1024 |\n| Totalconstantmemoryperdevice | 65,535bytes |\n| Maximumno.ofthreadsperSM | 2048 |",0]
["|  | AdhocScript | GeStore |\n| --- | --- | --- |\n| WriteFASTA | 63minutes |  |\n| Formatdb | 34minutes |  |\n| CopyBLASTDBtonodes | 109minutes |  |\n| Totalvs.GeStoreadd | 206minutes | 80minutes |\n| CreateSQLiteDB | 142minutes |  |","| CopySQLiteDBtonodes | 173minutes |  |\n| --- | --- | --- |\n| Totalvs.GeStoreretrieve | 522minutes | 191minutes |",1]
["|  | AdhocScript | GeStore |\n| --- | --- | --- |\n| WriteFASTA | 63minutes |  |\n| Formatdb | 34minutes |  |\n| CopyBLASTDBtonodes | 109minutes |  |\n| Totalvs.GeStoreadd | 206minutes | 80minutes |\n| CreateSQLiteDB | 142minutes |  |","| Totalconstantmemoryperdevice | 65,535bytes |\n| --- | --- |\n| Maximumno.ofthreadsperSM | 2048 |",0]
["| Stabber | Runningtime | Reference |\n| --- | --- | --- |\n| Horizontalline | O(n) | Thispaper |\n| Line | O(nlogn) | Edelsbrunneretal. |\n| Horizontalstrip | O(nlogn) | Thispaper |","| Quadrant | O(nlogn) | Thispaper |\n| --- | --- | --- |\n| 3-sided(axis-parallel)rectangle | O(nlogn) | Thispaper |\n| Axis-parallelrectangle | O(nlogn) | Thispaper |\n| Wedge | O(nlogn) | Claveroletal. |\n| Double-wedge | O(nlogn) | Claveroletal. |\n| Zigzag | O(nlogn) | Claveroletal. |\n| Circle | O(n) | Claveroletal. |",1]
["| Stabber | Runningtime | Reference |\n| --- | --- | --- |\n| Horizontalline | O(n) | Thispaper |\n| Line | O(nlogn) | Edelsbrunneretal. |\n| Horizontalstrip | O(nlogn) | Thispaper |","| Simplerotation | Axesnumbers | Key |\n| --- | --- | --- |\n| Rxy | 1×2 | “2” |\n| Rxz | 1×3 | “3” |\n| Rxw | 1×4 | “4” |\n| Ryz | 2×3 | “6” |\n| Ryw | 2×4 | “8” |\n| Rzw | 3×4 | “c” |\n| Doublerotation | x’scounterpart | Key |\n| Rxy,zw | y | “y” |\n| Rxz,yw | z | “z” |\n| Rxw,yz | w | “w” |",0]
["| Stabber | Runningtime | Reference |\n| --- | --- | --- |\n| Horizontalline | O(n) | Thispaper |","| Line | O(nlogn) | Edelsbrunneretal. |\n| --- | --- | --- |\n| Horizontalstrip | O(nlogn) | Thispaper |\n| Quadrant | O(nlogn) | Thispaper |\n| 3-sided(axis-parallel)rectangle | O(nlogn) | Thispaper |\n| Axis-parallelrectangle | O(nlogn) | Thispaper |\n| Wedge | O(nlogn) | Claveroletal. |\n| Double-wedge | O(nlogn) | Claveroletal. |\n| Zigzag | O(nlogn) | Claveroletal. |\n| Circle | O(n) | Claveroletal. |",1]
["| Stabber | Runningtime | Reference |\n| --- | --- | --- |\n| Horizontalline | O(n) | Thispaper |","| Ryw | 2×4 | “8” |\n| --- | --- | --- |\n| Rzw | 3×4 | “c” |\n| Doublerotation | x’scounterpart | Key |\n| Rxy,zw | y | “y” |\n| Rxz,yw | z | “z” |\n| Rxw,yz | w | “w” |",0]
["| Projectname | Duration |\n| --- | --- |\n| Briefcase | 3hr5min |","| Convalot | 4hr1min |\n| --- | --- |\n| Milkyway | 4hr55min |\n| MobileNotiﬁer | 4hr2min |\n| Notebook | 6hr17min |\n| RPIDirectory | 7hr29min |\n| ShuttleTracking | 2hr2min |\n| YACS | 3hr32min |",1]
["| Projectname | Duration |\n| --- | --- |\n| Briefcase | 3hr5min |","| Projectname | From | To | Days | Commits |\n| --- | --- | --- | --- | --- |\n| Briefcase | 09/17/11 | 12/07/11 | 81 | 132 |\n| Convalot | 09/12/10 | 06/25/11 | 286 | 406 |\n| Milkyway | 07/31/08 | 12/14/11 | 1231 | 2436 |\n| MobileNotiﬁer | 09/11/10 | 10/17/11 | 401 | 450 |\n| Notebook | 11/18/10 | 04/06/11 | 139 | 326 |\n| RPIDirectory | 08/31/11 | 09/30/11 | 30 | 193 |\n| ShuttleTracking | 08/02/09 | 11/04/11 | 824 | 207 |\n| YACS | 09/14/11 | 12/14/11 | 91 | 273 |",0]
["| Projectname | Duration |\n| --- | --- |\n| Briefcase | 3hr5min |\n| Convalot | 4hr1min |","| Milkyway | 4hr55min |\n| --- | --- |\n| MobileNotiﬁer | 4hr2min |\n| Notebook | 6hr17min |\n| RPIDirectory | 7hr29min |\n| ShuttleTracking | 2hr2min |\n| YACS | 3hr32min |",1]
["| Projectname | Duration |\n| --- | --- |\n| Briefcase | 3hr5min |\n| Convalot | 4hr1min |","| Notebook | 11/18/10 | 04/06/11 | 139 | 326 |\n| --- | --- | --- | --- | --- |\n| RPIDirectory | 08/31/11 | 09/30/11 | 30 | 193 |\n| ShuttleTracking | 08/02/09 | 11/04/11 | 824 | 207 |\n| YACS | 09/14/11 | 12/14/11 | 91 | 273 |",0]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| IV | 17.4883 | -10.5185 | -79.2551 |\n| F | 17.5459 | -10.6024 | -78.9854 |\n| Algorithm | RelativeTranslation(mm) |  |  |","| Tx | Ty | Tz |  |\n| --- | --- | --- | --- |\n| IV | 295.9218 | -220.6804 | 11.5566 |\n| F | 294.0235 | -229.8369 | 28.9739 |",1]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| IV | 17.4883 | -10.5185 | -79.2551 |\n| F | 17.5459 | -10.6024 | -78.9854 |\n| Algorithm | RelativeTranslation(mm) |  |  |","| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| III | 17.7158 | -11.3660 | -80.1913 |\n| F | 17.5459 | -10.6024 | -78.9854 |\n| Algorithm | RelativeTranslation(mm) |  |  |\n| Tx | Ty | Tz |  |\n| III | 295.4183 | -232.4576 | 34.5004 |\n| F | 294.0235 | -229.8369 | 28.9739 |",0]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| IV | 17.4883 | -10.5185 | -79.2551 |","| F | 17.5459 | -10.6024 | -78.9854 |\n| --- | --- | --- | --- |\n| Algorithm | RelativeTranslation(mm) |  |  |\n| Tx | Ty | Tz |  |\n| IV | 295.9218 | -220.6804 | 11.5566 |\n| F | 294.0235 | -229.8369 | 28.9739 |",1]
["| Algorithm | RelativeRotation(Degree) |  |  |\n| --- | --- | --- | --- |\n| Roll | Pitch | Yaw |  |\n| IV | 17.4883 | -10.5185 | -79.2551 |","| Algorithm | RelativeTranslation(mm) |  |  |\n| --- | --- | --- | --- |\n| Tx | Ty | Tz |  |\n| III | 295.4183 | -232.4576 | 34.5004 |\n| F | 294.0235 | -229.8369 | 28.9739 |",0]
["| 0.01 | nlogn |\n| --- | --- |\n| 0.02 | nlogn |\n| 0.05 | nlogn |","| 0.075 | nlogn |\n| --- | --- |\n| 0.10 | nlogn |",1]
["| 0.01 | nlogn |\n| --- | --- |\n| 0.02 | nlogn |\n| 0.05 | nlogn |","| 0.646 | 0.625 | 0.812 |\n| --- | --- | --- |\n| - | 0.378 | - |\n| - | - | 0.847 |\n| - | - | - |\n| 0.555 | 0.448 | 0.626 |\n| - | 0.374 | - |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| 0.01 | nlogn |\n| --- | --- |\n| 0.02 | nlogn |","| 0.05 | nlogn |\n| --- | --- |\n| 0.075 | nlogn |\n| 0.10 | nlogn |",1]
["| 0.01 | nlogn |\n| --- | --- |\n| 0.02 | nlogn |","| - | 0.374 | - |\n| --- | --- | --- |\n| - | - | - |\n| 0.494 | - | 0.631 |",0]
["| ALF | MAP | LPA-ICI | GLDP | LLDO |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |","| 22.36 | 0.66 | 23.33 | 0.74 | 24.17 | 0.76 | 24.58 | 0.78 | 25.01 | 0.80 | 27.63 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 22.99 | 0.64 | 23.95 | 0.77 | 25.04 | 0.79 | 25.40 | 0.81 | 25.55 | 0.82 | 27.69 |\n| 21.82 | 0.62 | 22.63 | 0.72 | 23.14 | 0.72 | 23.66 | 0.77 | 24.17 | 0.78 | 26.35 |\n| 25.41 | 0.71 | 26.24 | 0.78 | 27.88 | 0.83 | 27.12 | 0.80 | 28.48 | 0.85 | 31.79 |\n| 22.14 | 0.64 | 22.46 | 0.69 | 24.12 | 0.77 | 23.86 | 0.75 | 24.61 | 0.80 | 27.27 |\n| 30.92 | 0.87 | 28.25 | 0.77 | 30.70 | 0.87 | 30.92 | 0.87 | 31.07 | 0.87 | 31.44 |",1]
["| ALF | MAP | LPA-ICI | GLDP | LLDO |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |","|  | Scale128×96 | Scale144×112 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |\n| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |\n| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["| ALF | MAP | LPA-ICI | GLDP | LLDO |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |\n| 22.36 | 0.66 | 23.33 | 0.74 | 24.17 | 0.76 | 24.58 | 0.78 | 25.01 | 0.80 | 27.63 |\n| 22.99 | 0.64 | 23.95 | 0.77 | 25.04 | 0.79 | 25.40 | 0.81 | 25.55 | 0.82 | 27.69 |\n| 21.82 | 0.62 | 22.63 | 0.72 | 23.14 | 0.72 | 23.66 | 0.77 | 24.17 | 0.78 | 26.35 |","| 25.41 | 0.71 | 26.24 | 0.78 | 27.88 | 0.83 | 27.12 | 0.80 | 28.48 | 0.85 | 31.79 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 22.14 | 0.64 | 22.46 | 0.69 | 24.12 | 0.77 | 23.86 | 0.75 | 24.61 | 0.80 | 27.27 |\n| 30.92 | 0.87 | 28.25 | 0.77 | 30.70 | 0.87 | 30.92 | 0.87 | 31.07 | 0.87 | 31.44 |",1]
["| ALF | MAP | LPA-ICI | GLDP | LLDO |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |\n| 22.36 | 0.66 | 23.33 | 0.74 | 24.17 | 0.76 | 24.58 | 0.78 | 25.01 | 0.80 | 27.63 |\n| 22.99 | 0.64 | 23.95 | 0.77 | 25.04 | 0.79 | 25.40 | 0.81 | 25.55 | 0.82 | 27.69 |\n| 21.82 | 0.62 | 22.63 | 0.72 | 23.14 | 0.72 | 23.66 | 0.77 | 24.17 | 0.78 | 26.35 |","| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |\n| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |\n| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |\n| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |\n| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 |",0]
["| Features | RMSE |\n| --- | --- |\n| COL | 0.155±0.001 |","| ST | 0.146±0.002 |\n| --- | --- |\n| SAL | 0.142±0.002 |\n| DL(C3D) | 0.140±0.002 |\n| SEM | 0.138±0.003 |\n| DL+ST+SAL+COL | 0.136±0.001 |\n| SEM+ST+SAL+COL | 0.135±0.001 |",1]
["| Features | RMSE |\n| --- | --- |\n| COL | 0.155±0.001 |","| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | 5endmembers | 8endmembers |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1893 | 1 | 0.1243 | 1 |\n| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |\n| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |\n| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |\n| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |\n|  | GBM |  |  |  |\n| FCLS | 0.2419 | 1 | 0.1836 | 1 |\n| SK-Hype | 0.1080 | 3320.7 | 0.0738 | 3072.6 |\n| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |\n| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |\n| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |",0]
["| Features | RMSE |\n| --- | --- |\n| COL | 0.155±0.001 |\n| ST | 0.146±0.002 |","| SAL | 0.142±0.002 |\n| --- | --- |\n| DL(C3D) | 0.140±0.002 |\n| SEM | 0.138±0.003 |\n| DL+ST+SAL+COL | 0.136±0.001 |\n| SEM+ST+SAL+COL | 0.135±0.001 |",1]
["| Features | RMSE |\n| --- | --- |\n| COL | 0.155±0.001 |\n| ST | 0.146±0.002 |","| FCLS | 0.1893 | 1 | 0.1243 | 1 |\n| --- | --- | --- | --- | --- |\n| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |\n| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |\n| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |\n| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |\n|  | GBM |  |  |  |\n| FCLS | 0.2419 | 1 | 0.1836 | 1 |\n| SK-Hype | 0.1080 | 3320.7 | 0.0738 | 3072.6 |\n| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |\n| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |\n| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |",0]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.797 | 0.743 | 0.389 | 0.355 |\n| CreativeMP3Player | 0.818 | 0.692 | 0.293 | 0.319 |","| NikonCamera | 0.792 | 0.710 | 0.265 | 0.457 |\n| --- | --- | --- | --- | --- |\n| NokiaPhone | 0.761 | 0.718 | 0.328 | 0.489 |\n| CanonCamera | 0.822 | 0.747 | 0.352 | 0.286 |\n| Average | 0.8 | 0.72 | 0.325 | 0.381 |",1]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.797 | 0.743 | 0.389 | 0.355 |\n| CreativeMP3Player | 0.818 | 0.692 | 0.293 | 0.319 |","| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |\n| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |\n| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |\n| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |\n| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |\n| Average | 0.88 | 0.83 | 0.220 | 0.330 |",0]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.797 | 0.743 | 0.389 | 0.355 |\n| CreativeMP3Player | 0.818 | 0.692 | 0.293 | 0.319 |","| NikonCamera | 0.792 | 0.710 | 0.265 | 0.457 |\n| --- | --- | --- | --- | --- |\n| NokiaPhone | 0.761 | 0.718 | 0.328 | 0.489 |\n| CanonCamera | 0.822 | 0.747 | 0.352 | 0.286 |\n| Average | 0.8 | 0.72 | 0.325 | 0.381 |",1]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.797 | 0.743 | 0.389 | 0.355 |\n| CreativeMP3Player | 0.818 | 0.692 | 0.293 | 0.319 |","| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |\n| --- | --- | --- | --- | --- |\n| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |\n| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |\n| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |\n| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |\n| Average | 0.88 | 0.83 | 0.220 | 0.330 |",0]
["| Platform | CEs | GFLOP/s | GB/s |\n| --- | --- | --- | --- |\n| AMDHD7970 | 64×32 | 3,788 | 264 |\n| IntelXeonPhi5110P | 2×60 | 2,022 | 320 |\n| NVIDIAGTX680 | 192×8 | 3,090 | 192 |","| NVIDIAK20 | 192×13 | 3,519 | 208 |\n| --- | --- | --- | --- |\n| NVIDIAGTXTitan | 192×14 | 4,500 | 288 |",1]
["| Platform | CEs | GFLOP/s | GB/s |\n| --- | --- | --- | --- |\n| AMDHD7970 | 64×32 | 3,788 | 264 |\n| IntelXeonPhi5110P | 2×60 | 2,022 | 320 |\n| NVIDIAGTX680 | 192×8 | 3,090 | 192 |","| GPU | GTX1080 | TitanX |\n| --- | --- | --- |\n| ComputeCapability | 6.1 | 6.1 |\n| GlobalMem(GB) | 8 | 10 |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| Platform | CEs | GFLOP/s | GB/s |\n| --- | --- | --- | --- |\n| AMDHD7970 | 64×32 | 3,788 | 264 |\n| IntelXeonPhi5110P | 2×60 | 2,022 | 320 |","| NVIDIAGTX680 | 192×8 | 3,090 | 192 |\n| --- | --- | --- | --- |\n| NVIDIAK20 | 192×13 | 3,519 | 208 |\n| NVIDIAGTXTitan | 192×14 | 4,500 | 288 |",1]
["| Platform | CEs | GFLOP/s | GB/s |\n| --- | --- | --- | --- |\n| AMDHD7970 | 64×32 | 3,788 | 264 |\n| IntelXeonPhi5110P | 2×60 | 2,022 | 320 |","| GlobalMem(GB) | 8 | 10 |\n| --- | --- | --- |\n| #ofSMs | 20 | 28 |\n| CoreClock(MHz) | 1607 | 1417 |\n| MemClock(MHz) | 5005 | 5005 |\n| MemBusWidth | 256 | 384 |\n| L2Cache(KB) | 2048 | 3072 |",0]
["| Datasets | λ | µ | Datasets | λ | µ |\n| --- | --- | --- | --- | --- | --- |\n| Synthetic | −1<br>10 | −4<br>10 | Plume | 7<br>10 | −2<br>10 |\n| Urban | 6<br>10 | −5<br>10 | Pavia | 6<br>10 | −8<br>10 |","| Salinas-A | 4<br>10 | −4<br>10 | Pines | 6<br>10 | −9<br>10 |\n| --- | --- | --- | --- | --- | --- |\n| SDA | 6<br>10 | −7<br>10 | KSC | 6<br>10 | −8<br>10 |",1]
["| Datasets | λ | µ | Datasets | λ | µ |\n| --- | --- | --- | --- | --- | --- |\n| Synthetic | −1<br>10 | −4<br>10 | Plume | 7<br>10 | −2<br>10 |\n| Urban | 6<br>10 | −5<br>10 | Pavia | 6<br>10 | −8<br>10 |","|  | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | Method |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["| Datasets | λ | µ | Datasets | λ | µ |\n| --- | --- | --- | --- | --- | --- |\n| Synthetic | −1<br>10 | −4<br>10 | Plume | 7<br>10 | −2<br>10 |","| Urban | 6<br>10 | −5<br>10 | Pavia | 6<br>10 | −8<br>10 |\n| --- | --- | --- | --- | --- | --- |\n| Salinas-A | 4<br>10 | −4<br>10 | Pines | 6<br>10 | −9<br>10 |\n| SDA | 6<br>10 | −7<br>10 | KSC | 6<br>10 | −8<br>10 |",1]
["| Datasets | λ | µ | Datasets | λ | µ |\n| --- | --- | --- | --- | --- | --- |\n| Synthetic | −1<br>10 | −4<br>10 | Plume | 7<br>10 | −2<br>10 |","| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |\n|  |  |  |  |  |  |  |  |  |  |\n| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |\n| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 |",0]
["|  | SIFT1M | GIST1M |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | T(ms) | Memory | R@1 | R@100 | T(ms) | Memory | R@1 | R@100 |\n| IVFPQ-8 | 8.6 | 0.086× | 0.288 | 0.943 | 36.2 | 0.0029× | 0.082 | 0.510 |\n| IVFRVQ-8 | 4.7 | 0.070× | 0.270 | 0.931 | 12.5 | 0.0023× | 0.107 | 0.616 |","| IMI-8 | 95.1 | 0.086× | 0.228 | 0.924 | 90.0 | 0.0029× | 0.053 | 0.369 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FLANN | 0.9 | 6.25× | 0.852 | 0.852 | 11.9 | 2.12× | 0.799 | 0.799 |\n| ANN | 250.5 | 8.45× | 0.993 | 1.000 | 232.0 | 1.48× | 0.938 | 1.000 |\n| E2LSH | 30.0 | 29.10× | 0.764 | 0.764 | 6907.7 | 1.74× | 0.342 | 0.990 |\n| E-GNNS | 2.3 | 1.225× | 0.882 | 0.882 | 6.7 | 1.049× | 0.724 | 0.724 |\n| IVF+E-GNNS | 1.8 | 1.234× | 0.983 | 0.983 | 8.0 | 1.053× | 0.943 | 0.943 |\n| EFANNA | 1.8 | 1.621× | 0.955 | 0.955 | 9.5 | 1.049× | 0.891 | 0.891 |\n| ExhaustiveNNS | 1,107.0 | 1.0× | 1.00 | 1.00 | 2,258.0 | 1.0× | 1.00 | 1.00 |",1]
["|  | SIFT1M | GIST1M |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | T(ms) | Memory | R@1 | R@100 | T(ms) | Memory | R@1 | R@100 |\n| IVFPQ-8 | 8.6 | 0.086× | 0.288 | 0.943 | 36.2 | 0.0029× | 0.082 | 0.510 |\n| IVFRVQ-8 | 4.7 | 0.070× | 0.270 | 0.931 | 12.5 | 0.0023× | 0.107 | 0.616 |","| T(IoU) | Atelectasis | Cardiomegaly | Eﬀusion | Inﬁltration | Mass | Nodule |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.6888 | 0.9383 | 0.6601 | 0.7073 | 0.4000 | 0.1392 |\n| AFP | 0.8943 | 0.5996 | 0.8343 | 0.6250 | 0.6666 | 0.6077 |\n| Acc. | 0.4722 | 0.6849 | 0.4509 | 0.4796 | 0.2588 | 0.0506 |\n| AFP | 0.9827 | 0.7205 | 0.9096 | 0.6849 | 0.6941 | 0.6158 |\n| Acc. | 0.2444 | 0.4589 | 0.3006 | 0.2764 | 0.1529 | 0.0379 |\n| AFP | 1.0417 | 0.7815 | 0.9472 | 0.7236 | 0.7073 | 0.6168 |\n| Acc. | 0.0944 | 0.2808 | 0.2026 | 0.1219 | 0.0705 | 0.0126 |\n| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |\n| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |\n| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |\n| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |\n| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |\n| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |\n| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 |",0]
["|  | SIFT1M | GIST1M |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | T(ms) | Memory | R@1 | R@100 | T(ms) | Memory | R@1 | R@100 |\n| IVFPQ-8 | 8.6 | 0.086× | 0.288 | 0.943 | 36.2 | 0.0029× | 0.082 | 0.510 |\n| IVFRVQ-8 | 4.7 | 0.070× | 0.270 | 0.931 | 12.5 | 0.0023× | 0.107 | 0.616 |","| IMI-8 | 95.1 | 0.086× | 0.228 | 0.924 | 90.0 | 0.0029× | 0.053 | 0.369 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| FLANN | 0.9 | 6.25× | 0.852 | 0.852 | 11.9 | 2.12× | 0.799 | 0.799 |\n| ANN | 250.5 | 8.45× | 0.993 | 1.000 | 232.0 | 1.48× | 0.938 | 1.000 |\n| E2LSH | 30.0 | 29.10× | 0.764 | 0.764 | 6907.7 | 1.74× | 0.342 | 0.990 |\n| E-GNNS | 2.3 | 1.225× | 0.882 | 0.882 | 6.7 | 1.049× | 0.724 | 0.724 |\n| IVF+E-GNNS | 1.8 | 1.234× | 0.983 | 0.983 | 8.0 | 1.053× | 0.943 | 0.943 |\n| EFANNA | 1.8 | 1.621× | 0.955 | 0.955 | 9.5 | 1.049× | 0.891 | 0.891 |\n| ExhaustiveNNS | 1,107.0 | 1.0× | 1.00 | 1.00 | 2,258.0 | 1.0× | 1.00 | 1.00 |",1]
["|  | SIFT1M | GIST1M |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | T(ms) | Memory | R@1 | R@100 | T(ms) | Memory | R@1 | R@100 |\n| IVFPQ-8 | 8.6 | 0.086× | 0.288 | 0.943 | 36.2 | 0.0029× | 0.082 | 0.510 |\n| IVFRVQ-8 | 4.7 | 0.070× | 0.270 | 0.931 | 12.5 | 0.0023× | 0.107 | 0.616 |","| AFP | 1.0783 | 0.8140 | 0.9705 | 0.7489 | 0.7164 | 0.6189 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Acc. | 0.0500 | 0.1780 | 0.1111 | 0.0650 | 0.0117 | 0.0126 |\n| AFP | 1.0884 | 0.8354 | 0.9919 | 0.7571 | 0.7215 | 0.6189 |\n| Acc. | 0.0222 | 0.0753 | 0.0457 | 0.0243 | 0.0000 | 0.0126 |\n| AFP | 1.0935 | 0.8506 | 1.0051 | 0.7632 | 0.7226 | 0.6189 |\n| Acc. | 0.0055 | 0.0273 | 0.0196 | 0.0000 | 0.0000 | 0.0000 |\n| AFP | 1.0965 | 0.8577 | 1.009 | 0.7663 | 0.7226 | 0.6199 |",0]
["| English-Spanish |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Optimistic | Pessimistic |  |  |\n|  | AL | Linex | AL | Linex |","| StdGP | 1.187 | 0.447 | 1.633 | 3.009 |\n| --- | --- | --- | --- | --- |\n| log<br>tanh1<br>tanh2<br>tanh3 | 1.060<br>1.050<br>1.054<br>1.053 | 0.299<br>0.300<br>0.300<br>0.299 | 1.534<br>1.528<br>1.543<br>1.538 | 3.327<br>3.251<br>3.335<br>3.322 |",1]
["| English-Spanish |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | Optimistic | Pessimistic |  |  |\n|  | AL | Linex | AL | Linex |","| English-Spanish-858instances |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | NLL | NLPD | MAE | r |\n| EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 |\n| logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 |\n| tanh1EQ<br>tanh1Mat32<br>tanh1Mat52 | 992.19<br>991.39<br>992.20 | 1.274<br>1.272<br>1.274 | 0.790<br>0.790<br>0.791 | 0.375<br>0.379<br>0.376 |\n| tanh2EQ<br>tanh2Mat32<br>tanh2Mat52 | 982.43<br>982.40<br>981.86 | 1.275<br>1.281<br>1.282 | 0.792<br>0.791<br>0.792 | 0.376<br>0.382<br>0.278 |\n| tanh3EQ<br>tanh3Mat32<br>tanh3Mat52 | 980.50<br>981.20<br>980.70 | 1.282<br>1.282<br>1.275 | 0.791<br>0.791<br>0.790 | 0.380<br>0.380<br>0.385 |",0]
["| English-Spanish |  |  |\n| --- | --- | --- |\n|  | Optimistic | Pessimistic |","|  | AL | Linex | AL | Linex |\n| --- | --- | --- | --- | --- |\n| StdGP | 1.187 | 0.447 | 1.633 | 3.009 |\n| log<br>tanh1<br>tanh2<br>tanh3 | 1.060<br>1.050<br>1.054<br>1.053 | 0.299<br>0.300<br>0.300<br>0.299 | 1.534<br>1.528<br>1.543<br>1.538 | 3.327<br>3.251<br>3.335<br>3.322 |",1]
["| English-Spanish |  |  |\n| --- | --- | --- |\n|  | Optimistic | Pessimistic |","| tanh2EQ<br>tanh2Mat32<br>tanh2Mat52 | 982.43<br>982.40<br>981.86 | 1.275<br>1.281<br>1.282 | 0.792<br>0.791<br>0.792 | 0.376<br>0.382<br>0.278 |\n| --- | --- | --- | --- | --- |\n| tanh3EQ<br>tanh3Mat32<br>tanh3Mat52 | 980.50<br>981.20<br>980.70 | 1.282<br>1.282<br>1.275 | 0.791<br>0.791<br>0.790 | 0.380<br>0.380<br>0.385 |",0]
["|  | MHEALTH | USCHAD | UTD-MHAD1 | UTD-MHAD2 | WISDM |\n| --- | --- | --- | --- | --- | --- |\n| JiangandYin | 55.6 | 76.4 | 42.0 | 70.0 | 82.3 |\n| ChenandXue | 65.7 | 78.7 | - | - | 86.0 |","| Haetal. | 67.9 | - | - | - | - |\n| --- | --- | --- | --- | --- | --- |\n| HaandChoi | 84.8 | - | - | - | - |\n| ConvNet1(Ours) | 68.2 | 80.7 | 40.3 | 70.7 | 86.3 |\n| ConvNet2(Ours) | 61.8 | 79.9 | - | - | 87.0 |\n| ConvNet3(Ours) | 63.5 | 81.4 | - | - | 85.8 |\n| LHN(Ours) | 78.1 | 83.8 | 50.1 | 75.3 | 88.0 |",1]
["|  | MHEALTH | USCHAD | UTD-MHAD1 | UTD-MHAD2 | WISDM |\n| --- | --- | --- | --- | --- | --- |\n| JiangandYin | 55.6 | 76.4 | 42.0 | 70.0 | 82.3 |\n| ChenandXue | 65.7 | 78.7 | - | - | 86.0 |","| Method | Rank1 | Rank5 | Rank10 | Rank20 |\n| --- | --- | --- | --- | --- |\n| SDALF | 9.9 | 22.6 | 30.3 | 41.0 |\n| eSDC | 19.7 | 32.7 | 40.3 | 50.6 |\n| LMNN | 13.5 | 31.3 | 42.3 | 54.1 |\n| ITML | 16.0 | 35.2 | 45.6 | 59.8 |\n| SalMatch | 28.5 | 45.9 | 55.7 | 68.0 |\n| Midlevel | 34.3 | 55.1 | 65.0 | 74.9 |\n| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["|  | MHEALTH | USCHAD | UTD-MHAD1 | UTD-MHAD2 | WISDM |\n| --- | --- | --- | --- | --- | --- |\n| JiangandYin | 55.6 | 76.4 | 42.0 | 70.0 | 82.3 |\n| ChenandXue | 65.7 | 78.7 | - | - | 86.0 |\n| Haetal. | 67.9 | - | - | - | - |\n| HaandChoi | 84.8 | - | - | - | - |\n| ConvNet1(Ours) | 68.2 | 80.7 | 40.3 | 70.7 | 86.3 |\n| ConvNet2(Ours) | 61.8 | 79.9 | - | - | 87.0 |","| ConvNet3(Ours) | 63.5 | 81.4 | - | - | 85.8 |\n| --- | --- | --- | --- | --- | --- |\n| LHN(Ours) | 78.1 | 83.8 | 50.1 | 75.3 | 88.0 |",1]
["|  | MHEALTH | USCHAD | UTD-MHAD1 | UTD-MHAD2 | WISDM |\n| --- | --- | --- | --- | --- | --- |\n| JiangandYin | 55.6 | 76.4 | 42.0 | 70.0 | 82.3 |\n| ChenandXue | 65.7 | 78.7 | - | - | 86.0 |\n| Haetal. | 67.9 | - | - | - | - |\n| HaandChoi | 84.8 | - | - | - | - |\n| ConvNet1(Ours) | 68.2 | 80.7 | 40.3 | 70.7 | 86.3 |\n| ConvNet2(Ours) | 61.8 | 79.9 | - | - | 87.0 |","| Ours | 29.2 | 54.7 | 66.3 | 77.6 |\n| --- | --- | --- | --- | --- |\n| MetricEnsembles | 53.4 | 76.7 | 84.4 | 90.1 |\n| Ours+kLFDA | 39.5 | 62.1 | 74.3 | 82.9 |",0]
["|  | SPOT-6 | PlanetScope | Worldview-3 |\n| --- | --- | --- | --- |\n| Visiblechannels | 4 | 3 | 6 |\n| Nearinfraredchannels | 1 | 0/1 | 2 |\n| SWinfraredchannels | 0 | 0 | 8 |","| Multispectralresolution,m | 6.0 | 3.0/3.7 | 1.24/3.72 |\n| --- | --- | --- | --- |\n| Panchromaticresolution,m | 1.5 | - | 0.31 |\n| Dailycoverage,millionssq.km/day | 3 | 150 | 0.68 |",1]
["|  | SPOT-6 | PlanetScope | Worldview-3 |\n| --- | --- | --- | --- |\n| Visiblechannels | 4 | 3 | 6 |\n| Nearinfraredchannels | 1 | 0/1 | 2 |\n| SWinfraredchannels | 0 | 0 | 8 |","| Dataset | κ | Choiceofq | criterioncheck |\n| --- | --- | --- | --- |\n| Stereo | 0.8 | uniform | approximate |\n| Inpainting | 0.7 | uniform | approximate |\n| Denoise-sq | 0.8 | uniform | approximate |\n| Denoise-ts | 0.7 | uniform | approximate |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["|  | SPOT-6 | PlanetScope | Worldview-3 |\n| --- | --- | --- | --- |\n| Visiblechannels | 4 | 3 | 6 |\n| Nearinfraredchannels | 1 | 0/1 | 2 |\n| SWinfraredchannels | 0 | 0 | 8 |","| Multispectralresolution,m | 6.0 | 3.0/3.7 | 1.24/3.72 |\n| --- | --- | --- | --- |\n| Panchromaticresolution,m | 1.5 | - | 0.31 |\n| Dailycoverage,millionssq.km/day | 3 | 150 | 0.68 |",1]
["|  | SPOT-6 | PlanetScope | Worldview-3 |\n| --- | --- | --- | --- |\n| Visiblechannels | 4 | 3 | 6 |\n| Nearinfraredchannels | 1 | 0/1 | 2 |\n| SWinfraredchannels | 0 | 0 | 8 |","| Denoise-ts | 0.7 | uniform | approximate |\n| --- | --- | --- | --- |\n| OpticalFlow | 0.9 | unary | exact |\n| Color-seg-n4 | 0.9 | unary | exact |\n| Color-seg-n8 | 0.9 | unary | exact |",0]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 0.1409 | 0.1184 |","| 0.2 | 0.369 | 0.00386 |\n| --- | --- | --- |\n| 0.4 | 0.00016 | 0.00016 |\n| 0.6 | 0.00016 | 0.00012 |\n| 0.8 | 0.00016 | 8e-05 |",1]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 0.1409 | 0.1184 |","| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 3.194 | 8.356 |\n| 0.2 | 3.959 | 59.589 |\n| 0.4 | 257.696 | 331.810 |\n| 0.6 | 389.301 | 421.305 |\n| 0.8 | 443.650 | 454.558 |",0]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 0.1409 | 0.1184 |\n| 0.2 | 0.369 | 0.00386 |","| 0.4 | 0.00016 | 0.00016 |\n| --- | --- | --- |\n| 0.6 | 0.00016 | 0.00012 |\n| 0.8 | 0.00016 | 8e-05 |",1]
["| Qvalue | fastgreedy | Louvain |\n| --- | --- | --- |\n| 0 | 0.1409 | 0.1184 |\n| 0.2 | 0.369 | 0.00386 |","| 0.4 | 257.696 | 331.810 |\n| --- | --- | --- |\n| 0.6 | 389.301 | 421.305 |\n| 0.8 | 443.650 | 454.558 |",0]
["| RelativePose |  |\n| --- | --- |\n| ω(rad)x | −0.0034 |\n| ω(rad)y | 0.0134 |\n| ω(rad)z | 0.0341 |","| T(mm)x | 1.063±0.040 |\n| --- | --- |\n| T(mm)y | −0.203±0.038 |\n| T(mm)z | 0.118±0.153 |",1]
["| RelativePose |  |\n| --- | --- |\n| ω(rad)x | −0.0034 |\n| ω(rad)y | 0.0134 |\n| ω(rad)z | 0.0341 |","| pair | ∅ | ω1 | ω2 | ω3 | ω4 | Ω |\n| --- | --- | --- | --- | --- | --- | --- |\n| (1,2) | 0.17989 | 0.08620 | 0.19870 | 0.21626 | 0.01139 | 0.30755 |\n| (2,3) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (2,4) | 0.08745 | 0.07225 | 0.12931 | 0.11762 | 0.12373 | 0.46962 |\n| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",0]
["| RelativePose |  |\n| --- | --- |\n| ω(rad)x | −0.0034 |\n| ω(rad)y | 0.0134 |\n| ω(rad)z | 0.0341 |","| T(mm)x | 1.063±0.040 |\n| --- | --- |\n| T(mm)y | −0.203±0.038 |\n| T(mm)z | 0.118±0.153 |",1]
["| RelativePose |  |\n| --- | --- |\n| ω(rad)x | −0.0034 |\n| ω(rad)y | 0.0134 |\n| ω(rad)z | 0.0341 |","| (3,4) | 0.07858 | 0.17209 | 0.03612 | 0.08545 | 0.15812 | 0.46962 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (4,5) | 0.20880 | 0.22056 | 0.15581 | 0.09589 | 0.03375 | 0.28519 |",0]
["| Corpus | Type | Languages | Domain |\n| --- | --- | --- | --- |\n|  | Gold | En-Es | LEGAL |","|  | Gold | Fr-En/En-Es | NEWS |\n| --- | --- | --- | --- |\n|  | Gold | En-Ch/Cs/Ff/De/Hu/It/Ja/Ko/Pl/Br/Pt/Ru/Es | IT |\n|  | Gold | Fr-En | NEWS |\n|  | Gold | En-Es | NEWS |\n|  | Gold | En-De | IT |\n|  | Gold | En-De/De-En | IT/MEDICAL |\n| (Junczys-Dowmunt<br>andGrundkiewicz,2016) | Artiﬁcial | En-De | IT |",1]
["| Corpus | Type | Languages | Domain |\n| --- | --- | --- | --- |\n|  | Gold | En-Es | LEGAL |","| Corpus | Language | #Instances | #Words(F/E) |\n| --- | --- | --- | --- |\n| HindiTreebank | Hindi | 147 | 963/945 |\n| ODIN | German | 105 | 747/774 |\n| Irish | 46 | 252/278 |  |\n| Hausa | 77 | 424/520 |  |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| Corpus | Type | Languages | Domain |\n| --- | --- | --- | --- |\n|  | Gold | En-Es | LEGAL |","|  | Gold | Fr-En/En-Es | NEWS |\n| --- | --- | --- | --- |\n|  | Gold | En-Ch/Cs/Ff/De/Hu/It/Ja/Ko/Pl/Br/Pt/Ru/Es | IT |\n|  | Gold | Fr-En | NEWS |\n|  | Gold | En-Es | NEWS |\n|  | Gold | En-De | IT |\n|  | Gold | En-De/De-En | IT/MEDICAL |\n| (Junczys-Dowmunt<br>andGrundkiewicz,2016) | Artiﬁcial | En-De | IT |",1]
["| Corpus | Type | Languages | Domain |\n| --- | --- | --- | --- |\n|  | Gold | En-Es | LEGAL |","| Hausa | 77 | 424/520 |  |\n| --- | --- | --- | --- |\n| Korean | 103 | 518/731 |  |\n| Malagasy | 87 | 489/646 |  |\n| Welsh | 53 | 312/329 |  |\n| Yaqui | 68 | 350/544 |  |\n| SMULTRON | German | 281 | 6829/7236 |\n| Swedish | 281 | 8402/9377 |  |",0]
["| T | H({f\\|f∈T})ii | H(T) |\n| --- | --- | --- |\n| {f,f}12 | 1.981 | 1.993 |\n| {f,f}13 | 1.949 | 1.982 |","| {f,f}14 | 1.976 | 1.997 |\n| --- | --- | --- |\n| {f,f}23 | 1.929 | 1.975 |\n| {f,f}24 | 1.977 | 1.993 |\n| {f,f}34 | 1.948 | 1.982 |",1]
["| T | H({f\\|f∈T})ii | H(T) |\n| --- | --- | --- |\n| {f,f}12 | 1.981 | 1.993 |\n| {f,f}13 | 1.949 | 1.982 |","|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |\n|  | Π=−55.44 | Π=−55.44 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |\n|  | Π=−23.77 | Π=−15.01 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 8.33<br>5.89<br>0.00<br>11.31<br>12.67<br>7.45 | 4.99<br>5.44<br>2.10<br>0.00<br>5.33<br>0.00 | 3.34<br>5.44<br>3.34<br>13.41<br>7.34<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>3.37<br>12.67<br>7.56<br>7.34 | 5.44<br>2.10<br>0.00<br>5.33<br>0.00<br>0.00 | 5.44<br>3.34<br>5.47<br>7.34<br>12.89<br>7.34 |\n|  | Π=−53.17 | Π=−45.65 |  |  |  |  |  |  |  |  |",0]
["| T | H({f\\|f∈T})ii | H(T) |\n| --- | --- | --- |\n| {f,f}12 | 1.981 | 1.993 |\n| {f,f}13 | 1.949 | 1.982 |\n| {f,f}14 | 1.976 | 1.997 |","| {f,f}23 | 1.929 | 1.975 |\n| --- | --- | --- |\n| {f,f}24 | 1.977 | 1.993 |\n| {f,f}34 | 1.948 | 1.982 |",1]
["| T | H({f\\|f∈T})ii | H(T) |\n| --- | --- | --- |\n| {f,f}12 | 1.981 | 1.993 |\n| {f,f}13 | 1.949 | 1.982 |\n| {f,f}14 | 1.976 | 1.997 |","| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | Π=−55.44 | Π=−55.44 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |\n|  | Π=−23.77 | Π=−15.01 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 8.33<br>5.89<br>0.00<br>11.31<br>12.67<br>7.45 | 4.99<br>5.44<br>2.10<br>0.00<br>5.33<br>0.00 | 3.34<br>5.44<br>3.34<br>13.41<br>7.34<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>3.37<br>12.67<br>7.56<br>7.34 | 5.44<br>2.10<br>0.00<br>5.33<br>0.00<br>0.00 | 5.44<br>3.34<br>5.47<br>7.34<br>12.89<br>7.34 |\n|  | Π=−53.17 | Π=−45.65 |  |  |  |  |  |  |  |  |",0]
["| TaobaoDataset | AmazonDataset |\n| --- | --- |\n| 219 | 483 |\n| 212 | 467 |","| 205 | 435 |\n| --- | --- |\n| 191 | 408 |",1]
["| TaobaoDataset | AmazonDataset |\n| --- | --- |\n| 219 | 483 |\n| 212 | 467 |","| Dataset | Size | Dataset | Size |\n| --- | --- | --- | --- |\n| Coﬀeeshops1 | 1733 | Inn1 | 1108 |\n| Coﬀeeshops2 | 1807 | Inn2 | 1265 |\n| Starbucks | 149 | Home-Inn | 235 |\n| Costa | 75 | JinJiang | 57 |",0]
["| TaobaoDataset | AmazonDataset |\n| --- | --- |\n| 219 | 483 |\n| 212 | 467 |","| 205 | 435 |\n| --- | --- |\n| 191 | 408 |",1]
["| TaobaoDataset | AmazonDataset |\n| --- | --- |\n| 219 | 483 |\n| 212 | 467 |","| Starbucks | 149 | Home-Inn | 235 |\n| --- | --- | --- | --- |\n| Costa | 75 | JinJiang | 57 |",0]
["| method | CC | SAM | RMSE | ERGAS |\n| --- | --- | --- | --- | --- |\n| SFIM | 0.91886 | 4.2895 | 637.1451 | 3.4159 |\n| MTF-GLP | 0.92397 | 4.3378 | 622.4711 | 3.2666 |","| MTF-GLP-HPM | 0.92599 | 4.2821 | 611.9161 | 3.2497 |\n| --- | --- | --- | --- | --- |\n| GS | 0.91262 | 4.4982 | 665.0173 | 3.5490 |\n| GSA | 0.92826 | 4.1950 | 587.1322 | 3.1940 |\n| PCA | 0.90350 | 5.1637 | 710.3275 | 3.8680 |\n| GFPCA | 0.89042 | 4.8472 | 745.6006 | 4.0001 |\n| CNMF | 0.9300 | 4.4187 | 591.3190 | 3.1762 |\n| BayesianNaive | 0.95195 | 3.6428 | 489.5634 | 2.6286 |\n| BayesianSparse | 0.95882 | 3.3345 | 448.1721 | 2.4712 |\n| HySure | 0.9465 | 3.8767 | 511.8525 | 2.8181 |",1]
["| method | CC | SAM | RMSE | ERGAS |\n| --- | --- | --- | --- | --- |\n| SFIM | 0.91886 | 4.2895 | 637.1451 | 3.4159 |\n| MTF-GLP | 0.92397 | 4.3378 | 622.4711 | 3.2666 |","| Algorithm | Symm | Asymm |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| LCC | SROCC | RMSE | LCC | SROCC | RMSE |  |\n| SSIM | 0.9037 | 0.8991 | 7.0246 | 0.8769 | 0.8755 | 5.8162 |\n| MS-SSIM | 0.8901 | 0.8681 | 21.2322 | 0.8423 | 0.7785 | 15.1681 |\n| SBIQE | 0.0006 | 0.0027 | 25.4484 | 0.0021 | 0.0051 | 12.0123 |\n| BRISQUE | 0.7829 | 0.7859 | 15.8298 | 0.5411 | 0.5303 | 10.1719 |\n| NIQE | 0.8499 | 0.8705 | 13.4076 | 0.6835 | 0.6929 | 8.8334 |\n| STMAD | 0.7815 | 0.8000 | 10.2358 | 0.6534 | 0.6010 | 9.1614 |\n| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",0]
["| method | CC | SAM | RMSE | ERGAS |\n| --- | --- | --- | --- | --- |\n| SFIM | 0.91886 | 4.2895 | 637.1451 | 3.4159 |\n| MTF-GLP | 0.92397 | 4.3378 | 622.4711 | 3.2666 |","| MTF-GLP-HPM | 0.92599 | 4.2821 | 611.9161 | 3.2497 |\n| --- | --- | --- | --- | --- |\n| GS | 0.91262 | 4.4982 | 665.0173 | 3.5490 |\n| GSA | 0.92826 | 4.1950 | 587.1322 | 3.1940 |\n| PCA | 0.90350 | 5.1637 | 710.3275 | 3.8680 |\n| GFPCA | 0.89042 | 4.8472 | 745.6006 | 4.0001 |\n| CNMF | 0.9300 | 4.4187 | 591.3190 | 3.1762 |\n| BayesianNaive | 0.95195 | 3.6428 | 489.5634 | 2.6286 |\n| BayesianSparse | 0.95882 | 3.3345 | 448.1721 | 2.4712 |\n| HySure | 0.9465 | 3.8767 | 511.8525 | 2.8181 |",1]
["| method | CC | SAM | RMSE | ERGAS |\n| --- | --- | --- | --- | --- |\n| SFIM | 0.91886 | 4.2895 | 637.1451 | 3.4159 |\n| MTF-GLP | 0.92397 | 4.3378 | 622.4711 | 3.2666 |","| Chenetal. | 0.9435 | 0.9182 | 5.4346 | 0.8370 | 0.8376 | 6.6218 |\n| --- | --- | --- | --- | --- | --- | --- |\n| STRIQE | 0.8275 | 0.8017 | 9.2105 | 0.7559 | 0.7492 | 7.9321 |\n| VQUEMODES(NIQE) | 0.9285 | 0.9236 | 3.9852 | 0.8955 | 0.8490 | 6.9563 |",0]
["| FeatureExtractorMethod | Acronym |\n| --- | --- |\n| ColorLayout | CL |\n| ScalableColor | SC |\n| ColorStructure | CS |","| ColorTemperature | CT |\n| --- | --- |\n| EdgeHistogram | EH |\n| TextureBrowsing | TB |",1]
["| FeatureExtractorMethod | Acronym |\n| --- | --- |\n| ColorLayout | CL |\n| ScalableColor | SC |\n| ColorStructure | CS |","| Signals | Description |\n| --- | --- |\n| clk | Thisistheglobalclocksignal |\n| resetn | Activelowsystemreset |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |\n| bo[7:0] | EnhancedBluecolorcomponent |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",0]
["| FeatureExtractorMethod | Acronym |\n| --- | --- |\n| ColorLayout | CL |\n| ScalableColor | SC |","| ColorStructure | CS |\n| --- | --- |\n| ColorTemperature | CT |\n| EdgeHistogram | EH |\n| TextureBrowsing | TB |",1]
["| FeatureExtractorMethod | Acronym |\n| --- | --- |\n| ColorLayout | CL |\n| ScalableColor | SC |","| resetn | Activelowsystemreset |\n| --- | --- |\n| rin[7:0] | Redcolorcomponent |\n| gin[7:0] | Greencolorcomponent |\n| bin[7:0] | Bluecolorcomponent |\n| ro[7:0] | Enhancedredcolorcomponent |\n| go[7:0] | EnhancedGreencolorcomponent |\n| bo[7:0] | EnhancedBluecolorcomponent |\n| pixelvalid | ValidsignalforenhancedRGBpixel |",0]
["| SIFTAﬃneinvariant/SIFT |\n| --- |\n| unarytraining:0.335(0.038)0.321(0.018)<br>validation:0.346(0.027)0.337(0.015)<br>testing:0.371(0.011)0.332(0.024) |\n| +learningtraining:0.277(0.024)0.286(0.024)<br>validation:0.325(0.020)0.300(0.020)<br>testing:0.371(0.011)0.302(0.016) |","| higher-ordertraining:0.233(0.047)0.205(0.043)<br>validation:0.223(0.025)0.254(0.035)<br>testing:0.289(0.045)0.294(0.034) |\n| --- |\n| +learningtraining:0.254(0.046)0.211(0.036)<br>validation:0.224(0.025)0.234(0.035)<br>testing:0.289(0.045)0.233(0.034) |",1]
["| SIFTAﬃneinvariant/SIFT |\n| --- |\n| unarytraining:0.335(0.038)0.321(0.018)<br>validation:0.346(0.027)0.337(0.015)<br>testing:0.371(0.011)0.332(0.024) |\n| +learningtraining:0.277(0.024)0.286(0.024)<br>validation:0.325(0.020)0.300(0.020)<br>testing:0.371(0.011)0.302(0.016) |","| Trainingset(featureset) | Accuracy | Precision | Recall | F-score1 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set(baseline) | 0.906 | 0.911 | 0.906 | 0.903 |\n| Train-set+Dev-set(extended) | 0.928 | 0.937 | 0.929 | 0.930 |\n| Train-set+Dev-set+AL(baseline) | 0.898 | 0.911 | 0.898 | 0.898 |\n| Train-set+Dev-set+AL(extended) | 0.932 | 0.945 | 0.932 | 0.935 |",0]
["| SIFTAﬃneinvariant/SIFT |\n| --- |\n| unarytraining:0.335(0.038)0.321(0.018)<br>validation:0.346(0.027)0.337(0.015)<br>testing:0.371(0.011)0.332(0.024) |","| +learningtraining:0.277(0.024)0.286(0.024)<br>validation:0.325(0.020)0.300(0.020)<br>testing:0.371(0.011)0.302(0.016) |\n| --- |\n| higher-ordertraining:0.233(0.047)0.205(0.043)<br>validation:0.223(0.025)0.254(0.035)<br>testing:0.289(0.045)0.294(0.034) |\n| +learningtraining:0.254(0.046)0.211(0.036)<br>validation:0.224(0.025)0.234(0.035)<br>testing:0.289(0.045)0.233(0.034) |",1]
["| SIFTAﬃneinvariant/SIFT |\n| --- |\n| unarytraining:0.335(0.038)0.321(0.018)<br>validation:0.346(0.027)0.337(0.015)<br>testing:0.371(0.011)0.332(0.024) |","| Train-set+Dev-set(extended) | 0.928 | 0.937 | 0.929 | 0.930 |\n| --- | --- | --- | --- | --- |\n| Train-set+Dev-set+AL(baseline) | 0.898 | 0.911 | 0.898 | 0.898 |\n| Train-set+Dev-set+AL(extended) | 0.932 | 0.945 | 0.932 | 0.935 |",0]
["| NumberofWorker | Time(minutes) | Scalability |\n| --- | --- | --- |\n| 1 | 4841 | 1 |\n| 2 | 3039 | 1.59 |\n| 4 | 1644 | 2.84 |\n| 8 | 850 | 5.70 |","| 16 | 430 | 11.26 |\n| --- | --- | --- |\n| 32 | 333 | 14.56 |",1]
["| NumberofWorker | Time(minutes) | Scalability |\n| --- | --- | --- |\n| 1 | 4841 | 1 |\n| 2 | 3039 | 1.59 |\n| 4 | 1644 | 2.84 |\n| 8 | 850 | 5.70 |","| TotalnumberofJobs | 6064 |\n| --- | --- |\n| Traceduration(s) | 35032 |\n| Averagenumberoftasksperjob | 26.31 |\n| Minimumtaskduration(s) | 12.8 |\n| Maximumtaskduration(s) | 22919.3 |\n| Averagetaskduration(s) | 1179.7 |",0]
["| NumberofWorker | Time(minutes) | Scalability |\n| --- | --- | --- |\n| 1 | 4841 | 1 |\n| 2 | 3039 | 1.59 |\n| 4 | 1644 | 2.84 |","| 8 | 850 | 5.70 |\n| --- | --- | --- |\n| 16 | 430 | 11.26 |\n| 32 | 333 | 14.56 |",1]
["| NumberofWorker | Time(minutes) | Scalability |\n| --- | --- | --- |\n| 1 | 4841 | 1 |\n| 2 | 3039 | 1.59 |\n| 4 | 1644 | 2.84 |","| Minimumtaskduration(s) | 12.8 |\n| --- | --- |\n| Maximumtaskduration(s) | 22919.3 |\n| Averagetaskduration(s) | 1179.7 |",0]
["| Dataset | Label |\n| --- | --- |\n| F | bully |\n| F+ | bully |\n| T | racism |\n| T+ | racism |","| T | sexism |\n| --- | --- |\n| T+ | sexism |\n| W | Attack |\n| W+ | Attack |",1]
["| Dataset | Label |\n| --- | --- |\n| F | bully |\n| F+ | bully |\n| T | racism |\n| T+ | racism |","| Dataset | Label | P | R | F1 |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 | M1 | M2 | M3 | M4 |  |  |\n| F+ | bully | 0.93 | 0.91 | 0.91 | 0.90 | 0.90 | 0.85 | 0.81 | 0.91 | 0.91 | 0.88 | 0.86 | 0.91 |\n| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",0]
["| Dataset | Label |\n| --- | --- |\n| F | bully |\n| F+ | bully |\n| T | racism |\n| T+ | racism |","| T | sexism |\n| --- | --- |\n| T+ | sexism |\n| W | Attack |\n| W+ | Attack |",1]
["| Dataset | Label |\n| --- | --- |\n| F | bully |\n| F+ | bully |\n| T | racism |\n| T+ | racism |","| T+ | racism<br>sexism | 0.93<br>0.92 | 0.91<br>0.84 | 0.92<br>0.88 | 0.90<br>0.88 | 0.94<br>0.92 | 0.80<br>0.93 | 0.95<br>0.94 | 0.96<br>0.92 | 0.93<br>0.92 | 0.85<br>0.88 | 0.93<br>0.92 | 0.93<br>0.90 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| W+ | Attack | 0.92 | 0.70 | 0.90 | 0.87 | 0.83 | 0.54 | 0.81 | 0.86 | 0.88 | 0.61 | 0.85 | 0.87 |",0]
["| 97.45 | 97.55 |\n| --- | --- |\n| 95.02 | n/a |\n| 93.35<br>91.42 | 94.67<br>92.90 |","| 0.247 | 0.233 |\n| --- | --- |\n| 81.8 | 86.2 |",1]
["| 97.45 | 97.55 |\n| --- | --- |\n| 95.02 | n/a |\n| 93.35<br>91.42 | 94.67<br>92.90 |","| 97.88 | 97.85 |\n| --- | --- |\n| 97.59 | 97.13 |\n| 94.51<br>92.60 | 94.46<br>92.57 |\n| 0.236 | 0.239 |\n| 84.6 | 84.2 |",0]
["| 97.45 | 97.55 |\n| --- | --- |\n| 95.02 | n/a |\n| 93.35<br>91.42 | 94.67<br>92.90 |","| 0.247 | 0.233 |\n| --- | --- |\n| 81.8 | 86.2 |",1]
["| 97.45 | 97.55 |\n| --- | --- |\n| 95.02 | n/a |\n| 93.35<br>91.42 | 94.67<br>92.90 |","| 94.51<br>92.60 | 94.46<br>92.57 |\n| --- | --- |\n| 0.236 | 0.239 |\n| 84.6 | 84.2 |",0]
["| Type |\n| --- |\n| string |\n| string |\n| long |","| double |\n| --- |\n| double |",1]
["| Type |\n| --- |\n| string |\n| string |\n| long |","| GOPSize | Codingstructure |\n| --- | --- |\n| 1 | IPPPPPPPPPPPPPPPPP... |\n| 2 | IBPBPBPBPBPBPBPBPB... |\n| 4 | IBBBPBBBPBBBPBBBPB... |\n| 8 | IBBBBBBBPBBBBBBBPB... |\n| 16 | IBBBBBBBBBBBBBBBPB... |",0]
["| Type |\n| --- |\n| string |","| string |\n| --- |\n| long |\n| double |\n| double |",1]
["| Type |\n| --- |\n| string |","| 4 | IBBBPBBBPBBBPBBBPB... |\n| --- | --- |\n| 8 | IBBBBBBBPBBBBBBBPB... |\n| 16 | IBBBBBBBBBBBBBBBPB... |",0]
["| Priority | Tx | Coin | SenderAddress | PriorityPoint |\n| --- | --- | --- | --- | --- |\n| 1 | txi | coini | addi | max |\n| 2 | txj | coinj | addj | ... |","| 3 | txk | coink | addk | ... |\n| --- | --- | --- | --- | --- |\n| ... | ... | ... | ... | ... |\n| n | txm | coinm | addm | min |",1]
["| Priority | Tx | Coin | SenderAddress | PriorityPoint |\n| --- | --- | --- | --- | --- |\n| 1 | txi | coini | addi | max |\n| 2 | txj | coinj | addj | ... |","| n | \\|E\\| | OPTbound | Random | Distributed<br>Greedy | Centralized<br>Greedy |\n| --- | --- | --- | --- | --- | --- |\n| 1000 | 5000 | 5000 | 3950 | 4837 | 4832 |\n| 1000 | 10000 | 10000 | 6330 | 7625 | 7647 |\n| 1000 | 20000 | 10000 | 8655 | 9677 | 9727 |\n| 500 | 5000 | 5000 | 3951 | 4626 | 4628 |\n| 500 | 10000 | 10000 | 6305 | 7277 | 7296 |\n| 500 | 20000 | 10000 | 8640 | 9443 | 9470 |\n| 2000 | 5000 | 5000 | 3961 | 4953 | 4954 |\n| 2000 | 10000 | 10000 | 6345 | 8047 | 8068 |\n| 2000 | 20000 | 10000 | 8665 | 9908 | 9959 |",0]
["| Priority | Tx | Coin | SenderAddress | PriorityPoint |\n| --- | --- | --- | --- | --- |\n| 1 | txi | coini | addi | max |\n| 2 | txj | coinj | addj | ... |\n| 3 | txk | coink | addk | ... |","| ... | ... | ... | ... | ... |\n| --- | --- | --- | --- | --- |\n| n | txm | coinm | addm | min |",1]
["| Priority | Tx | Coin | SenderAddress | PriorityPoint |\n| --- | --- | --- | --- | --- |\n| 1 | txi | coini | addi | max |\n| 2 | txj | coinj | addj | ... |\n| 3 | txk | coink | addk | ... |","| 500 | 10000 | 10000 | 6305 | 7277 | 7296 |\n| --- | --- | --- | --- | --- | --- |\n| 500 | 20000 | 10000 | 8640 | 9443 | 9470 |\n| 2000 | 5000 | 5000 | 3961 | 4953 | 4954 |\n| 2000 | 10000 | 10000 | 6345 | 8047 | 8068 |\n| 2000 | 20000 | 10000 | 8665 | 9908 | 9959 |",0]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |","| 0.001 | 0.000167 | 4 | 0.312 |\n| --- | --- | --- | --- |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",1]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |","| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.00001 | 0.000305 | 12 | 10.953 |\n| 0.00002 | 0.000305 | 13 | 10.656 |\n| 0.00003 | 0.000305 | 12 | 10.516 |\n| 0.00004 | 0.000305 | 12 | 11.703 |\n| 0.00005 | 0.000305 | 13 | 11.610 |\n| 0.00006 | 0.000305 | 13 | 11.547 |\n| 0.00007 | 0.000305 | 13 | 11.672 |\n| 0.00008 | 0.000305 | 13 | 11.813 |\n| 0.00009 | 0.000305 | 13 | 11.813 |\n| 0.0001 | 0.000305 | 13 | 11.890 |\n| 0.0002 | 0.000305 | 14 | 13.110 |\n| 0.0003 | 0.000306 | 14 | 13.110 |\n| 0.0004 | 0.000308 | 16 | 15.407 |\n| 0.0005 | 0.000310 | 24 | 22.844 |\n| 0.0006 | 0.000312 | 15 | 14.250 |\n| 0.0007 | 0.000315 | 15 | 14.328 |\n| 0.0008 | 0.000319 | 32 | 30.563 |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",0]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |","| 0.001 | 0.000167 | 4 | 0.312 |\n| --- | --- | --- | --- |\n| 0.002 | 0.000156 | 2 | 0.219 |\n| 0.003 | 0.000159 | 2 | 0.234 |\n| 0.004 | 0.000207 | 2 | 0.203 |",1]
["| R | Optimalvalue | iter | CPU |\n| --- | --- | --- | --- |\n| 0.0001 | 0.000186 | 2 | 0.235 |\n| 0.0002 | 0.000189 | 2 | 0.234 |\n| 0.0003 | 0.000193 | 2 | 0.218 |\n| 0.0004 | 0.000182 | 3 | 0.266 |\n| 0.0005 | 0.000174 | 3 | 0.266 |\n| 0.0006 | 0.000173 | 4 | 0.312 |\n| 0.0007 | 0.000170 | 4 | 0.313 |\n| 0.0008 | 0.000167 | 3 | 0.266 |\n| 0.0009 | 0.000167 | 4 | 0.313 |","| 0.0008 | 0.000319 | 32 | 30.563 |\n| --- | --- | --- | --- |\n| 0.0009 | 0.000322 | 32 | 30.563 |\n| 0.001 | 0.000326 | 30 | 29.265 |\n| 0.002 | 0.000390 | 12 | 12.140 |\n| 0.003 | 0.000517 | 11 | 11.657 |",0]
["| Corp | Baseline | Tuned | Tag | Unsup |\n| --- | --- | --- | --- | --- |\n| Eu | 33.0±0.3 | 35.4±0.3 | 36.2±0.3 | 36.0±0.3 |\n| Op | 27.9±0.6 | 28.1±0.6 | 30.5±0.6 | 30.2±0.6 |\n| Wi | 15.3±0.4 | 15.4±0.4 | 16.9±0.4 | 16.0±0.4 |\n| Corp | Baseline | Tuned | Tag | Unsup |\n| Eu | 0.0001/0.0001 | 0.009/0.01 | -/0.3 | 0.3/- |","| Op | 0.0001/0.0001 | 0.0001/0.0001 | -/0.1 | 0.1/- |\n| --- | --- | --- | --- | --- |\n| Wi | 0.0001/0.004 | 0.0001/0.009 | -/0.01 | 0.01/- |",1]
["| Corp | Baseline | Tuned | Tag | Unsup |\n| --- | --- | --- | --- | --- |\n| Eu | 33.0±0.3 | 35.4±0.3 | 36.2±0.3 | 36.0±0.3 |\n| Op | 27.9±0.6 | 28.1±0.6 | 30.5±0.6 | 30.2±0.6 |\n| Wi | 15.3±0.4 | 15.4±0.4 | 16.9±0.4 | 16.0±0.4 |\n| Corp | Baseline | Tuned | Tag | Unsup |\n| Eu | 0.0001/0.0001 | 0.009/0.01 | -/0.3 | 0.3/- |","|  | Gradual | Sharp |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |\n| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |\n| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |\n| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |\n| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Corp | Baseline | Tuned | Tag | Unsup |\n| --- | --- | --- | --- | --- |\n| Eu | 33.0±0.3 | 35.4±0.3 | 36.2±0.3 | 36.0±0.3 |\n| Op | 27.9±0.6 | 28.1±0.6 | 30.5±0.6 | 30.2±0.6 |\n| Wi | 15.3±0.4 | 15.4±0.4 | 16.9±0.4 | 16.0±0.4 |\n| Corp | Baseline | Tuned | Tag | Unsup |\n| Eu | 0.0001/0.0001 | 0.009/0.01 | -/0.3 | 0.3/- |","| Op | 0.0001/0.0001 | 0.0001/0.0001 | -/0.1 | 0.1/- |\n| --- | --- | --- | --- | --- |\n| Wi | 0.0001/0.004 | 0.0001/0.009 | -/0.01 | 0.01/- |",1]
["| Corp | Baseline | Tuned | Tag | Unsup |\n| --- | --- | --- | --- | --- |\n| Eu | 33.0±0.3 | 35.4±0.3 | 36.2±0.3 | 36.0±0.3 |\n| Op | 27.9±0.6 | 28.1±0.6 | 30.5±0.6 | 30.2±0.6 |\n| Wi | 15.3±0.4 | 15.4±0.4 | 16.9±0.4 | 16.0±0.4 |\n| Corp | Baseline | Tuned | Tag | Unsup |\n| Eu | 0.0001/0.0001 | 0.009/0.01 | -/0.3 | 0.3/- |","| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |\n| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |\n| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |\n| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |\n| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |\n| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |\n| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |\n| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |\n| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |\n| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 |",0]
["| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |","| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",1]
["| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |","| Network | #Predicted | Size | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 294<br>338<br>102<br>138<br>261<br>429 | 7.96<br>8.66<br>15.88<br>17.14<br>10.52<br>13.01 | 29<br>19<br>29<br>33<br>42<br>57 | 155<br>164<br>119<br>122<br>158<br>164 | 38<br>23<br>38<br>44<br>54<br>56 | 0.098<br>0.056<br>0.284<br>0.239<br>0.161<br>0.133 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 297<br>342<br>136<br>141<br>296<br>484 | 7.94<br>8.34<br>9.46<br>7.44<br>9.98<br>8.72 | 39<br>25<br>41<br>48<br>49<br>81 | 155<br>164<br>119<br>122<br>158<br>164 | 49<br>29<br>57<br>61<br>61<br>71 | 0.131<br>0.073<br>0.301<br>0.340<br>0.166<br>0.167 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",0]
["| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |","| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",1]
["| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |","| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 156<br>306<br>136<br>252<br>127<br>429 | 11.42<br>14.39<br>12.44<br>8.91<br>11.66<br>9.80 | 41<br>33<br>36<br>51<br>45<br>80 | 155<br>164<br>119<br>122<br>158<br>164 | 56<br>41<br>48<br>63<br>60<br>66 | 0.263<br>0.108<br>0.265<br>0.202<br>0.354<br>0.186 |\n| --- | --- | --- | --- | --- | --- | --- |\n| P<br>P+F<br>FSW(P+F)<br>ICD(P+F)<br>TCSS(P+F)<br>Consensus | 414<br>510<br>111<br>131<br>269<br>419 | 5.98<br>6.68<br>10.17<br>8.90<br>7.49<br>7.61 | 34<br>28<br>39<br>43<br>55<br>79 | 155<br>164<br>119<br>122<br>158<br>164 | 41<br>34<br>54<br>60<br>67<br>74 | 0.082<br>0.055<br>0.351<br>0.328<br>0.204<br>0.189 |",0]
["| Pass | SE2 | SE3 | SE13 | SE15 | ALL |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 71.6 | 70.3 | 67.0 | 72.5 | 70.3 |\n| 2 | 71.9 | 70.2 | 67.1 | 72.8 | 70.4 |\n| 3 | 72.2 | 70.5 | 67.2 | 72.6 | 70.6 |","| 4 | 72.1 | 70.4 | 67.2 | 72.4 | 70.5 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 72.0 | 70.4 | 67.1 | 71.5 | 70.3 |",1]
["| Pass | SE2 | SE3 | SE13 | SE15 | ALL |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 71.6 | 70.3 | 67.0 | 72.5 | 70.3 |\n| 2 | 71.9 | 70.2 | 67.1 | 72.8 | 70.4 |\n| 3 | 72.2 | 70.5 | 67.2 | 72.6 | 70.6 |","| 1 | 100 | 0.5 | 35.137 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.5 | 82.415 |\n| 1 | 100 | 0.5 | 100.414 |\n| 2 | 100 | 0.5 | 35.301 |\n| 3 | 100 | 0.5 | 35.564 |\n| 1 | 200 | 0.5 | 36.480 |\n| 1 | 300 | 0.5 | 37.645 |\n| 1 | 400 | 0.5 | 41.113 |\n| 1 | 100 | 0 | 33.621 |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| Pass | SE2 | SE3 | SE13 | SE15 | ALL |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 71.6 | 70.3 | 67.0 | 72.5 | 70.3 |\n| 2 | 71.9 | 70.2 | 67.1 | 72.8 | 70.4 |\n| 3 | 72.2 | 70.5 | 67.2 | 72.6 | 70.6 |","| 4 | 72.1 | 70.4 | 67.2 | 72.4 | 70.5 |\n| --- | --- | --- | --- | --- | --- |\n| 5 | 72.0 | 70.4 | 67.1 | 71.5 | 70.3 |",1]
["| Pass | SE2 | SE3 | SE13 | SE15 | ALL |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 71.6 | 70.3 | 67.0 | 72.5 | 70.3 |\n| 2 | 71.9 | 70.2 | 67.1 | 72.8 | 70.4 |\n| 3 | 72.2 | 70.5 | 67.2 | 72.6 | 70.6 |","| 1 | 100 | 0 | 33.621 |\n| --- | --- | --- | --- |\n| 1 | 100 | 0.1 | 34.934 |",0]
["| Dataset | Ohsumed(M=105) | 20-Newsgroup(M=36) | Reuters(M=40) |\n| --- | --- | --- | --- |\n| OurModel | 1.85(0.01) | 1.14(0.01) | 1.17(0.01) |","| LDA | 10.55(0.37) | 6.42(0.28) | 4.97(0.13) |\n| --- | --- | --- | --- |\n| LDAbackground | 12.49(0.31) | 5.27(0.12) | 4.18(0.74) |\n| STC | 10.22(0.50) | 2.67(0.06) | 3.01(0.20) |",1]
["| Dataset | Ohsumed(M=105) | 20-Newsgroup(M=36) | Reuters(M=40) |\n| --- | --- | --- | --- |\n| OurModel | 1.85(0.01) | 1.14(0.01) | 1.17(0.01) |","| Dataset | logβ | α | τ |\n| --- | --- | --- | --- |\n| N=50 |  |  |  |\n| SL | 2.39(0.17) | 0.31(0.02) | 0.98(0.02) |\n| BP | 0.93(0.12) | 0.08(0.04) | 0.92(0.00) |\n| MN | 1.66(0.16) | 0.03(0.01) | 0.72(0.04) |\n| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |\n| N=5000 |  |  |  |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",0]
["| Dataset | Ohsumed(M=105) | 20-Newsgroup(M=36) | Reuters(M=40) |\n| --- | --- | --- | --- |\n| OurModel | 1.85(0.01) | 1.14(0.01) | 1.17(0.01) |","| LDA | 10.55(0.37) | 6.42(0.28) | 4.97(0.13) |\n| --- | --- | --- | --- |\n| LDAbackground | 12.49(0.31) | 5.27(0.12) | 4.18(0.74) |\n| STC | 10.22(0.50) | 2.67(0.06) | 3.01(0.20) |",1]
["| Dataset | Ohsumed(M=105) | 20-Newsgroup(M=36) | Reuters(M=40) |\n| --- | --- | --- | --- |\n| OurModel | 1.85(0.01) | 1.14(0.01) | 1.17(0.01) |","| WK | −0.21(0.81) | 0.00(0.00) | 0.40(0.19) |\n| --- | --- | --- | --- |\n| N=5000 |  |  |  |\n| SL | 2.39(0.01) | 0.31(0.01) | 0.98(0.00) |\n| BP | 0.96(0.02) | 0.08(0.00) | 0.92(0.00) |\n| MN | 1.69(0.03) | 0.02(0.00) | 0.74(0.01) |\n| WK | 0.39(0.22) | 0.00(0.00) | 0.60(0.01) |",0]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |","|  | Π=−55.44 | Π=−55.44 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |\n|  | Π=−23.77 | Π=−15.01 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 8.33<br>5.89<br>0.00<br>11.31<br>12.67<br>7.45 | 4.99<br>5.44<br>2.10<br>0.00<br>5.33<br>0.00 | 3.34<br>5.44<br>3.34<br>13.41<br>7.34<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>3.37<br>12.67<br>7.56<br>7.34 | 5.44<br>2.10<br>0.00<br>5.33<br>0.00<br>0.00 | 5.44<br>3.34<br>5.47<br>7.34<br>12.89<br>7.34 |\n|  | Π=−53.17 | Π=−45.65 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |","|  | Firm1 | Firm2 |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |  |  |  |  |  |  |  |  |\n| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 0<br>0<br>0<br>0<br>0<br>0 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 1<br>0<br>1<br>1<br>1<br>1 | 10.888<br>0.000<br>5.469<br>13.409<br>12.889<br>12.769 | 5.449<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 5.439<br>5.449<br>5.469<br>13.409<br>12.889<br>12.769 |\n|  | Π=0 | Π=155.119 |  |  |  |  |  |  |  |  |",0]
["|  | Firm1 | Firm2 |\n| --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |","| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |\n|  | Π=−55.44 | Π=−55.44 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>0<br>1<br>0<br>1<br>0 | 6.33<br>0.00<br>9.33<br>0.00<br>12.66<br>0.00 | 3.00<br>0.00<br>5.33<br>0.00<br>5.33<br>0.00 | 3.34<br>3.00<br>4.00<br>5.33<br>7.33<br>5.33 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>5.47<br>13.41<br>12.89<br>12.78 | 5.44<br>0.00<br>0.00<br>0.00<br>0.00<br>0.00 | 5.44<br>5.44<br>5.47<br>13.41<br>12.89<br>12.78 |\n|  | Π=−23.77 | Π=−15.01 |  |  |  |  |  |  |  |  |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 8.33<br>5.89<br>0.00<br>11.31<br>12.67<br>7.45 | 4.99<br>5.44<br>2.10<br>0.00<br>5.33<br>0.00 | 3.34<br>5.44<br>3.34<br>13.41<br>7.34<br>12.78 | 1<br>0<br>1<br>1<br>1<br>1 | 10.88<br>0.00<br>3.37<br>12.67<br>7.56<br>7.34 | 5.44<br>2.10<br>0.00<br>5.33<br>0.00<br>0.00 | 5.44<br>3.34<br>5.47<br>7.34<br>12.89<br>7.34 |\n|  | Π=−53.17 | Π=−45.65 |  |  |  |  |  |  |  |  |",1]
["|  | Firm1 | Firm2 |\n| --- | --- | --- |\n|  | F=10,H=1,K=25 | F=10,H=1,K=25 |","| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 0<br>0<br>0<br>0<br>0<br>0 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 0.000<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 1<br>0<br>1<br>1<br>1<br>1 | 10.888<br>0.000<br>5.469<br>13.409<br>12.889<br>12.769 | 5.449<br>0.000<br>0.000<br>0.000<br>0.000<br>0.000 | 5.439<br>5.449<br>5.469<br>13.409<br>12.889<br>12.769 |\n|  | Π=0 | Π=155.119 |  |  |  |  |  |  |  |  |",0]
["|  |  | MSCOCO |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Measure | Beamsize | Layers | BLEU | METEOR | TER |","| Seq-to-Seq | - | 10 | 2 | 16.5 | 15.4 | 67.1 |\n| --- | --- | --- | --- | --- | --- | --- |\n| WithAttention | - | 10 | 2 | 18.6 | 16.8 | 63.0 |\n| Seq-toSeq | - | 10 | 4 | 28.9 | 23.2 | 56.3 |\n| Bi-directional | - | 10 | 4 | 32.8 | 24.9 | 53.7 |\n| WithAttention | - | 10 | 4 | 33.4 | 25.2 | 53.8 |\n| ResidualLSTM | - | 10 | 4 | 37.0 | 27.0 | 51.6 |\n| Unsupervised | - | Nobeam | 1,2 | 12.8 | 17.5 | 78.8 |\n| VAE-S | Avg | Nobeam | 1,2 | 7.0 | 14.0 | 82.3 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG(our) | Avg | Nobeam | 1,2 | 39.2 | 29.2 | 43.6 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG-eq(our) | Avg | Nobeam | 1,2 | 37.3 | 28.5 | 45.1 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",1]
["|  |  | MSCOCO |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Measure | Beamsize | Layers | BLEU | METEOR | TER |","| Model | BLEU-1 | BLEU-2 | BLEU-3 | BLEU-4 | METEOR |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 | c40 | c5 |  |\n| SCN-LSTM | 0.740 | 0.917 | 0.575 | 0.839 | 0.436 | 0.739 | 0.331 | 0.631 | 0.257 | 0.348 | 0.543 |\n| ATT | 0.731 | 0.900 | 0.565 | 0.815 | 0.424 | 0.709 | 0.316 | 0.599 | 0.250 | 0.335 | 0.535 |\n| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",0]
["|  |  | MSCOCO |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Measure | Beamsize | Layers | BLEU | METEOR | TER |\n| Seq-to-Seq | - | 10 | 2 | 16.5 | 15.4 | 67.1 |\n| WithAttention | - | 10 | 2 | 18.6 | 16.8 | 63.0 |\n| Seq-toSeq | - | 10 | 4 | 28.9 | 23.2 | 56.3 |\n| Bi-directional | - | 10 | 4 | 32.8 | 24.9 | 53.7 |\n| WithAttention | - | 10 | 4 | 33.4 | 25.2 | 53.8 |\n| ResidualLSTM | - | 10 | 4 | 37.0 | 27.0 | 51.6 |\n| Unsupervised | - | Nobeam | 1,2 | 12.8 | 17.5 | 78.8 |\n| VAE-S | Avg | Nobeam | 1,2 | 7.0 | 14.0 | 82.3 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG(our) | Avg | Nobeam | 1,2 | 39.2 | 29.2 | 43.6 |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG-eq(our) | Avg | Nobeam | 1,2 | 37.3 | 28.5 | 45.1 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |",1]
["|  |  | MSCOCO |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | Measure | Beamsize | Layers | BLEU | METEOR | TER |\n| Seq-to-Seq | - | 10 | 2 | 16.5 | 15.4 | 67.1 |\n| WithAttention | - | 10 | 2 | 18.6 | 16.8 | 63.0 |\n| Seq-toSeq | - | 10 | 4 | 28.9 | 23.2 | 56.3 |\n| Bi-directional | - | 10 | 4 | 32.8 | 24.9 | 53.7 |\n| WithAttention | - | 10 | 4 | 33.4 | 25.2 | 53.8 |\n| ResidualLSTM | - | 10 | 4 | 37.0 | 27.0 | 51.6 |\n| Unsupervised | - | Nobeam | 1,2 | 12.8 | 17.5 | 78.8 |\n| VAE-S | Avg | Nobeam | 1,2 | 7.0 | 14.0 | 82.3 |\n|  |  |  |  |  |  |  |\n|  |  |  |  |  |  |  |\n| VAE-SVG(our) | Avg | Nobeam | 1,2 | 39.2 | 29.2 | 43.6 |","| OV | 0.713 | 0.895 | 0.542 | 0.802 | 0.407 | 0.694 | 0.309 | 0.587 | 0.254 | 0.346 | 0.530 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| MSRCap | 0.715 | 0.907 | 0.543 | 0.819 | 0.407 | 0.710 | 0.308 | 0.601 | 0.248 | 0.339 | 0.526 |",0]
["| Model | Sensitivity | Speciﬁcity | PPV | Accuracy |\n| --- | --- | --- | --- | --- |\n| K−means | 0.6555 | 0.7185 | 0.4473 | 0.6997 |\n| LOF | 0.0909 | 0.9519 | 0.5820 | 0.6959 |","| OC-SVM | 1.0 | 0.9015 | 0.8227 | 0.9308 |\n| --- | --- | --- | --- | --- |\n| WeightedOC-SVM | 1.0 | 0.9481 | 0.8975 | 0.9635 |",1]
["| Model | Sensitivity | Speciﬁcity | PPV | Accuracy |\n| --- | --- | --- | --- | --- |\n| K−means | 0.6555 | 0.7185 | 0.4473 | 0.6997 |\n| LOF | 0.0909 | 0.9519 | 0.5820 | 0.6959 |","| Model | Sensitivity | Speciﬁcity | Accuracy |\n| --- | --- | --- | --- |\n| SVM(best) | 0.8259 | 0.8324 | 0.8291 |\n| LR(best) | 0.7121 | 0.6879 | 0.6991 |\n| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",0]
["| Model | Sensitivity | Speciﬁcity | PPV | Accuracy |\n| --- | --- | --- | --- | --- |\n| K−means | 0.6555 | 0.7185 | 0.4473 | 0.6997 |","| LOF | 0.0909 | 0.9519 | 0.5820 | 0.6959 |\n| --- | --- | --- | --- | --- |\n| OC-SVM | 1.0 | 0.9015 | 0.8227 | 0.9308 |\n| WeightedOC-SVM | 1.0 | 0.9481 | 0.8975 | 0.9635 |",1]
["| Model | Sensitivity | Speciﬁcity | PPV | Accuracy |\n| --- | --- | --- | --- | --- |\n| K−means | 0.6555 | 0.7185 | 0.4473 | 0.6997 |","| LR(best) | 0.7121 | 0.6879 | 0.6991 |\n| --- | --- | --- | --- |\n| RF(best) | 0.6901 | 0.6850 | 0.6861 |\n| RNNs(best) | 0.9886 | 0.9836 | 0.9763 |",0]
["| Model | PredictionType | TrainMSE | TestMSE |\n| --- | --- | --- | --- |\n| ANFIS | Pointpredictions | −9<br>3.84×10 | 7.857 |","| SVR | Pointpredictions | −2<br>2.31×10 | 1.22 |\n| --- | --- | --- | --- |\n| NeuralNetA | Pointpredictions | −2<br>7.31×10 | 10.378 |\n| NeuralNetB | Pointpredictions | −1<br>5.38×10 | 0.810 |\n| FBL | Predictivedistribution | −5<br>5.93×10 | −5<br>7.64×10 |",1]
["| Model | PredictionType | TrainMSE | TestMSE |\n| --- | --- | --- | --- |\n| ANFIS | Pointpredictions | −9<br>3.84×10 | 7.857 |","| Model | Accuracy | Precision<br>(0,1) | Recall<br>(0,1) | F-score<br>(0,1) |\n| --- | --- | --- | --- | --- |\n| NB | 94.11 | 95,92.32 | 96,90 | 95.5,91.4 |\n| SVM | 93.31 | 97.13,87.18 | 92.4,94.91 | 94.74,90.90 |\n| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |\n| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |\n| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 |",0]
["| Model | PredictionType | TrainMSE | TestMSE |\n| --- | --- | --- | --- |\n| ANFIS | Pointpredictions | −9<br>3.84×10 | 7.857 |\n| SVR | Pointpredictions | −2<br>2.31×10 | 1.22 |","| NeuralNetA | Pointpredictions | −2<br>7.31×10 | 10.378 |\n| --- | --- | --- | --- |\n| NeuralNetB | Pointpredictions | −1<br>5.38×10 | 0.810 |\n| FBL | Predictivedistribution | −5<br>5.93×10 | −5<br>7.64×10 |",1]
["| Model | PredictionType | TrainMSE | TestMSE |\n| --- | --- | --- | --- |\n| ANFIS | Pointpredictions | −9<br>3.84×10 | 7.857 |\n| SVR | Pointpredictions | −2<br>2.31×10 | 1.22 |","| E-RNN | 95.4 | 98.42,90.37 | 94.47,97.12 | 96.40,93.62 |\n| --- | --- | --- | --- | --- |\n| CNN-RNN | 96.01 | 96.22,95.56 | 97.69,92.81 | 96.94,94.16 |\n| EC-RNN | 98.1 | 99.0,96.07 | 97.85,98.27 | 98.42,97.16 |",0]
["| Featureindex | Description |\n| --- | --- |\n| 1 | Whetherthecandidateisinthesamesentencewiththeconnective |\n| 2 | Connectiveword |\n| 3 | Down-caseconnectiveword |","| 4 | Candidateword |\n| --- | --- |\n| 5 | Beforeoraftertheconnectiveword |\n| 6 | Connectivewhereinthesentence(beginning,middle,end) |\n| 7 | 2,6 |\n| 8 | Headtoconnectivethroughtheconstituenttree |\n| 9 | Collapsedpathwithoutpart-of-speech |\n| 10 | Thelengthof8 |\n| 11 | Dependencypathfromargumenttoconnective |\n| 12 | Typeofconnective |",1]
["| Featureindex | Description |\n| --- | --- |\n| 1 | Whetherthecandidateisinthesamesentencewiththeconnective |\n| 2 | Connectiveword |\n| 3 | Down-caseconnectiveword |","| # | Features | Description |\n| --- | --- | --- |\n| 1 | TF | Termfrequencyofwintheshorttext |\n| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |\n| 3 | SF | Numberofsentencesintheshorttextthatcontainw |\n| 4 | First | Whetherwexistsintheﬁrstsentence |\n| 5 | Last | Whetherwexistsinthelastsentence |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| Featureindex | Description |\n| --- | --- |\n| 1 | Whetherthecandidateisinthesamesentencewiththeconnective |\n| 2 | Connectiveword |\n| 3 | Down-caseconnectiveword |\n| 4 | Candidateword |\n| 5 | Beforeoraftertheconnectiveword |","| 6 | Connectivewhereinthesentence(beginning,middle,end) |\n| --- | --- |\n| 7 | 2,6 |\n| 8 | Headtoconnectivethroughtheconstituenttree |\n| 9 | Collapsedpathwithoutpart-of-speech |\n| 10 | Thelengthof8 |\n| 11 | Dependencypathfromargumenttoconnective |\n| 12 | Typeofconnective |",1]
["| Featureindex | Description |\n| --- | --- |\n| 1 | Whetherthecandidateisinthesamesentencewiththeconnective |\n| 2 | Connectiveword |\n| 3 | Down-caseconnectiveword |\n| 4 | Candidateword |\n| 5 | Beforeoraftertheconnectiveword |","| 5 | Last | Whetherwexistsinthelastsentence |\n| --- | --- | --- |\n| 6 | NE | Whetherwisanamedentity(NE) |\n| 7 | NEFirst | WhetherwisNEintheﬁrstsentence |\n| 8 | NELast | WhetherwisNEinthelastsentence |\n| 9 | POS | Partofspeechofw |",0]
["| GraphModel | Community | SF | Random | Music |\n| --- | --- | --- | --- | --- |\n| Sum | Non-sybil | 0.89 | 1.04 | 0.70 |","| Sybil | 0.08 | 0.08 | 0.08 |  |\n| --- | --- | --- | --- | --- |\n| Entropy | Non-sybil | 1.54 | 1.15 | 0.60 |\n| Sybil | 0.04 | 0.07 | 0.05 |  |",1]
["| GraphModel | Community | SF | Random | Music |\n| --- | --- | --- | --- | --- |\n| Sum | Non-sybil | 0.89 | 1.04 | 0.70 |","| L | GraphQMF | nonzeroDCgraphBior | zeroDCgraphBior |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | SNR(dB) | Θ | SNR(dB) | Θ | SNR(dB) | Θ |\n| 4 | 32.20 | 0.98 | 286.84 | 0.88 | 286.54 | 0.70 |\n| 8 | 32.25 | 0.98 | 282.89 | 0.87 | 282.71 | 0.66 |\n| 10 | 42.17 | 1.00 | 270.05 | 0.81 | 270.00 | 0.65 |\n| 14 | 48.09 | 1.00 | 230.83 | 0.85 | 230.73 | 0.64 |\n| 16 | 44.78 | 0.99 | 222.08 | 0.94 | 222.05 | 0.64 |\n| 18 | 45.23 | 0.99 | 190.53 | 0.92 | 190.43 | 0.63 |\n| 20 | 54.61 | 1.00 | 170.78 | 0.94 | 170.68 | 0.63 |",0]
["| GraphModel | Community | SF | Random | Music |\n| --- | --- | --- | --- | --- |\n| Sum | Non-sybil | 0.89 | 1.04 | 0.70 |\n| Sybil | 0.08 | 0.08 | 0.08 |  |","| Entropy | Non-sybil | 1.54 | 1.15 | 0.60 |\n| --- | --- | --- | --- | --- |\n| Sybil | 0.04 | 0.07 | 0.05 |  |",1]
["| GraphModel | Community | SF | Random | Music |\n| --- | --- | --- | --- | --- |\n| Sum | Non-sybil | 0.89 | 1.04 | 0.70 |\n| Sybil | 0.08 | 0.08 | 0.08 |  |","| 8 | 32.25 | 0.98 | 282.89 | 0.87 | 282.71 | 0.66 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 10 | 42.17 | 1.00 | 270.05 | 0.81 | 270.00 | 0.65 |\n| 14 | 48.09 | 1.00 | 230.83 | 0.85 | 230.73 | 0.64 |\n| 16 | 44.78 | 0.99 | 222.08 | 0.94 | 222.05 | 0.64 |\n| 18 | 45.23 | 0.99 | 190.53 | 0.92 | 190.43 | 0.63 |\n| 20 | 54.61 | 1.00 | 170.78 | 0.94 | 170.68 | 0.63 |",0]
["| Syndrome | ErrorPatterns(inHex) |  |  |  |\n| --- | --- | --- | --- | --- |\n| 00 | 00 | 05 | 11 | 41 |","| 01 | 01 | 04 | 10 | 40 |\n| --- | --- | --- | --- | --- |\n| 10 | 03 | 09 | 21 | 81 |\n| 11 | 02 | 08 | 20 | 80 |",1]
["| Syndrome | ErrorPatterns(inHex) |  |  |  |\n| --- | --- | --- | --- | --- |\n| 00 | 00 | 05 | 11 | 41 |","| Benign |  |  |\n| --- | --- | --- |\n| Min. | Max. | Min. |\n| 43 | 57 | 44 |\n| 3,020 | 26,924 | 3,020 |\n| 941 | 8,387 | 939 |\n| 941 | 14,040 | 941 |\n| 0.3 | 110 | 0.3 |\n| 2.9 | 737 | 2.9 |\n| 4 | 1,116 | 4 |\n| 0.4 | 1,434 | 0.4 |",0]
["| Syndrome | ErrorPatterns(inHex) |  |  |  |\n| --- | --- | --- | --- | --- |\n| 00 | 00 | 05 | 11 | 41 |","| 01 | 01 | 04 | 10 | 40 |\n| --- | --- | --- | --- | --- |\n| 10 | 03 | 09 | 21 | 81 |\n| 11 | 02 | 08 | 20 | 80 |",1]
["| Syndrome | ErrorPatterns(inHex) |  |  |  |\n| --- | --- | --- | --- | --- |\n| 00 | 00 | 05 | 11 | 41 |","| 43 | 57 | 44 |\n| --- | --- | --- |\n| 3,020 | 26,924 | 3,020 |\n| 941 | 8,387 | 939 |\n| 941 | 14,040 | 941 |\n| 0.3 | 110 | 0.3 |\n| 2.9 | 737 | 2.9 |\n| 4 | 1,116 | 4 |\n| 0.4 | 1,434 | 0.4 |",0]
["| ASRsystem |  |\n| --- | --- |\n| Inputunits | 23 |\n| Hiddenunits | 512 |\n| Outputunits | 27293 |\n| LSTMlayerdepth | 2 |\n| MTsystem |  |\n| Sourcevocabulary | 27293 |\n| Targetvocabulary | 33155 |\n| Embedsize | 128 |\n| Inputunits | 128 |\n| Hiddenunits | 512 |\n| Outputunits | 33155 |\n| LSTMlayerdepth | 2 |","| Optimization |  |\n| --- | --- |\n| Initiallearningrate | 0.001000 |\n| Learningdescendrate | 1.800000 |\n| Optimizingmethod | Adam |",1]
["| ASRsystem |  |\n| --- | --- |\n| Inputunits | 23 |\n| Hiddenunits | 512 |\n| Outputunits | 27293 |\n| LSTMlayerdepth | 2 |\n| MTsystem |  |\n| Sourcevocabulary | 27293 |\n| Targetvocabulary | 33155 |\n| Embedsize | 128 |\n| Inputunits | 128 |\n| Hiddenunits | 512 |\n| Outputunits | 33155 |\n| LSTMlayerdepth | 2 |","| Hyperparameter | NMT | SPF | Ours |\n| --- | --- | --- | --- |\n| BatchSize | 128 | 100 | 128 |\n| HiddenLayerSize | 512 | 600 | 512 |\n| EncoderLayer | 2 | 2 | 2 |\n| DecoderLayer | 2 | 1 | 2 |\n| Optimizer | ADAM | ADAM | ADAM |\n| LearningRate | 0.001 | 0.001 | 0.001 |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",0]
["| ASRsystem |  |\n| --- | --- |\n| Inputunits | 23 |\n| Hiddenunits | 512 |\n| Outputunits | 27293 |","| LSTMlayerdepth | 2 |\n| --- | --- |\n| MTsystem |  |\n| Sourcevocabulary | 27293 |\n| Targetvocabulary | 33155 |\n| Embedsize | 128 |\n| Inputunits | 128 |\n| Hiddenunits | 512 |\n| Outputunits | 33155 |\n| LSTMlayerdepth | 2 |\n| Optimization |  |\n| Initiallearningrate | 0.001000 |\n| Learningdescendrate | 1.800000 |\n| Optimizingmethod | Adam |",1]
["| ASRsystem |  |\n| --- | --- |\n| Inputunits | 23 |\n| Hiddenunits | 512 |\n| Outputunits | 27293 |","| EncoderLayer | 2 | 2 | 2 |\n| --- | --- | --- | --- |\n| DecoderLayer | 2 | 1 | 2 |\n| Optimizer | ADAM | ADAM | ADAM |\n| LearningRate | 0.001 | 0.001 | 0.001 |\n| BidirectionalEncoder | Used | Used | Used |\n| EncoderDropoutRate | 0.2 | 0.4 | 0.2 |\n| DecoderDropoutRate | 0.2 | 0.5 | 0.2 |\n| BeamSearchSize | - | 5 | - |",0]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |","| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| --- | --- | --- | --- | --- |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",1]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |","| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| latlon | 1624984 | 1625197 | 1506465 | Identity |\n| lat | 1624984 | 1625192 | 1504469 | Identity |\n| lon | 1625061 | 1625725 | 1504619 | Identity |\n| place | 1741337 | 1741516 | 1504619 | Identity |\n| retweetID | 636455 | 636644 | 627163 | Identity |\n| reuserID | 720624 | 722148 | 676616 | Identity |\n| time | 2020000 | 2020000 | 35176 | Organization |\n| userID | 2020000 | 2020000 | 1711141 | Identity |\n| user | 2020000 | 2020000 | 1711143 | Identity |\n| word | 1976746 | 17180314 | 7838862 | Authority |",0]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |","| Priority | 11446187 | 11446187 | 1 | Vestigial |\n| --- | --- | --- | --- | --- |\n| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |\n| UserName | 11446187 | 11446187 | 8388 | Organization |",1]
["| Entity | Ni | Vi | Mi | StructureType |\n| --- | --- | --- | --- | --- |\n| Account | 11446187 | 11446187 | 1 | Vestigial |\n| CPUHours | 11446187 | 11446187 | 2752964 | Identity |\n| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |\n| JobName | 11446187 | 11446187 | 90491 | Organization |\n| JobNumber | 11446187 | 11446187 | 485212 | Identity |\n| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |","| place | 1741337 | 1741516 | 1504619 | Identity |\n| --- | --- | --- | --- | --- |\n| retweetID | 636455 | 636644 | 627163 | Identity |\n| reuserID | 720624 | 722148 | 676616 | Identity |\n| time | 2020000 | 2020000 | 35176 | Organization |\n| userID | 2020000 | 2020000 | 1711141 | Identity |\n| user | 2020000 | 2020000 | 1711143 | Identity |\n| word | 1976746 | 17180314 | 7838862 | Authority |",0]
["| Dataset | FCT | EPa | EP |\n| --- | --- | --- | --- |\n| Flight | 797.2 | 731.2 | 836.9 |\n| Electricity | 11600.3 | 9002.5 | 11402.5 |","| RotatingHyperplane | 5647.8 | 5413.8 | 5804.5 |\n| --- | --- | --- | --- |\n| Spam | 4.2 | 3.9 | 4.2 |",1]
["| Dataset | FCT | EPa | EP |\n| --- | --- | --- | --- |\n| Flight | 797.2 | 731.2 | 836.9 |\n| Electricity | 11600.3 | 9002.5 | 11402.5 |","| Dataset | AveragePoolMemory(inKBs) |  |  |\n| --- | --- | --- | --- |\n|  | FCT | EPa | EP |\n| Flight | 32.1 | 20.2 | 18.1 |\n| Electricity | 31.6 | 16.1 | 14.1 |\n| Rot.Hyperplane | 48.4 | 38.6 | 27.9 |\n| Spam | 17.3 | 17.2 | 16.4 |",0]
["| Dataset | FCT | EPa | EP |\n| --- | --- | --- | --- |\n| Flight | 797.2 | 731.2 | 836.9 |","| Electricity | 11600.3 | 9002.5 | 11402.5 |\n| --- | --- | --- | --- |\n| RotatingHyperplane | 5647.8 | 5413.8 | 5804.5 |\n| Spam | 4.2 | 3.9 | 4.2 |",1]
["| Dataset | FCT | EPa | EP |\n| --- | --- | --- | --- |\n| Flight | 797.2 | 731.2 | 836.9 |","| Rot.Hyperplane | 48.4 | 38.6 | 27.9 |\n| --- | --- | --- | --- |\n| Spam | 17.3 | 17.2 | 16.4 |",0]
["| #Dataset | #Triples | #(S∩O) | #P |\n| --- | --- | --- | --- |\n| WatDiv100M | 108997714 | 10250947 | 86 |\n| WatDiv200M | 219783842 | 20296483 | 86 |\n| WatDiv300M | 329827477 | 30221812 | 86 |\n| WatDiv400M | 439433765 | 40040420 | 86 |","| WatDiv500M | 549246141 | 49771433 | 86 |\n| --- | --- | --- | --- |\n| Yago | 200737655 | 38734252 | 46 |\n| DBpedia | 120978080 | 42966066 | 4282 |",1]
["| #Dataset | #Triples | #(S∩O) | #P |\n| --- | --- | --- | --- |\n| WatDiv100M | 108997714 | 10250947 | 86 |\n| WatDiv200M | 219783842 | 20296483 | 86 |\n| WatDiv300M | 329827477 | 30221812 | 86 |\n| WatDiv400M | 439433765 | 40040420 | 86 |","| Dataset | \\|Triples\\| | \\|Predicates\\| | MK-tree | IK-tree | RDF-3X |\n| --- | --- | --- | --- | --- | --- |\n| Jamendo | 1,049,639 | 28 | 0.74 | 0.74 | 37.73 |\n| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |\n| Geonames | 112,235,492 | 26 | 152.20 | 156.01 | 3,584.80 |\n| DBpedia | 232,542,405 | 39,672 | 931.44 | 788.19 | 9,757.58 |",0]
["| #Dataset | #Triples | #(S∩O) | #P |\n| --- | --- | --- | --- |\n| WatDiv100M | 108997714 | 10250947 | 86 |\n| WatDiv200M | 219783842 | 20296483 | 86 |\n| WatDiv300M | 329827477 | 30221812 | 86 |","| WatDiv400M | 439433765 | 40040420 | 86 |\n| --- | --- | --- | --- |\n| WatDiv500M | 549246141 | 49771433 | 86 |\n| Yago | 200737655 | 38734252 | 46 |\n| DBpedia | 120978080 | 42966066 | 4282 |",1]
["| #Dataset | #Triples | #(S∩O) | #P |\n| --- | --- | --- | --- |\n| WatDiv100M | 108997714 | 10250947 | 86 |\n| WatDiv200M | 219783842 | 20296483 | 86 |\n| WatDiv300M | 329827477 | 30221812 | 86 |","| Dblp | 46,597,620 | 27 | 82.48 | 84.04 | 1,643.31 |\n| --- | --- | --- | --- | --- | --- |\n| Geonames | 112,235,492 | 26 | 152.20 | 156.01 | 3,584.80 |\n| DBpedia | 232,542,405 | 39,672 | 931.44 | 788.19 | 9,757.58 |",0]
["| TextRetrievalDatasets |  |  |  |\n| --- | --- | --- | --- |\n| Label | Description | #queries | #images |","| IC11 | ICDAR2011testdataset. | 538 | 255 |\n| --- | --- | --- | --- |\n| SVT | SVTtestdataset. | 427 | 249 |\n| STR | IIITSTRtextretrievaldataset. | 50 | 10k |\n| Sports | IIITSports-10ktextretrievaldataset. | 10 | 10k |\n| BBCNews | AdatasetofkeyframesfromBBCNewsvideo. | - | 2.3m |",1]
["| TextRetrievalDatasets |  |  |  |\n| --- | --- | --- | --- |\n| Label | Description | #queries | #images |","| TrainingData | TestData |  |\n| --- | --- | --- |\n| ILSVRC2012Val | WebVisionVal |  |\n| 1K<br>D<br>ImageNet | 56.15 | 52.58 |\n| WebVision | 47.55 | 57.03 |\n| E<br>VT | 51.99 | 53.94 |\n| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| E* | 56.58 | 57.98 |",0]
["| TextRetrievalDatasets |  |  |  |\n| --- | --- | --- | --- |\n| Label | Description | #queries | #images |","| IC11 | ICDAR2011testdataset. | 538 | 255 |\n| --- | --- | --- | --- |\n| SVT | SVTtestdataset. | 427 | 249 |\n| STR | IIITSTRtextretrievaldataset. | 50 | 10k |\n| Sports | IIITSports-10ktextretrievaldataset. | 10 | 10k |\n| BBCNews | AdatasetofkeyframesfromBBCNewsvideo. | - | 2.3m |",1]
["| TextRetrievalDatasets |  |  |  |\n| --- | --- | --- | --- |\n| Label | Description | #queries | #images |","| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |\n| --- | --- | --- |\n| E* | 56.58 | 57.98 |",0]
["| Model | AUC-ROC | AUC-PR | Speciﬁcity | Sensitivity | PPV | Accuracy |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |","| 10-day | 0.7339 | 0.6884 | 0.3077 | 1.0 | 1.0 | 0.820 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 15-day | 0.7710 | 0.5808 | 0.3333 | 0.9009 | 0.5417 | 0.7533 |\n| 20-day | 0.7533 | 0.6880 | 0.5385 | 0.9820 | 0.9130 | 0.8667 |",1]
["| Model | AUC-ROC | AUC-PR | Speciﬁcity | Sensitivity | PPV | Accuracy |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |","| Breakout(724frames) | Enduro(2914frames) | Phoenix(575frames) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Model | NSS | ROC | NSS | ROC | NSS | ROC |\n| Softattention | 1.326 | 0.787 | 0.699 | 0.689 | 0.187 | 0.529 |\n| GBVS | -0.074 | 0.489 | -0.083 | 0.578 | -0.143 | 0.485 |\n| Itti-Koch | -0.112 | 0.453 | -0.048 | 0.593 | 0.267 | 0.599 |",0]
["| Model | AUC-ROC | AUC-PR | Speciﬁcity | Sensitivity | PPV | Accuracy |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |","| 10-day | 0.7339 | 0.6884 | 0.3077 | 1.0 | 1.0 | 0.820 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 15-day | 0.7710 | 0.5808 | 0.3333 | 0.9009 | 0.5417 | 0.7533 |\n| 20-day | 0.7533 | 0.6880 | 0.5385 | 0.9820 | 0.9130 | 0.8667 |",1]
["| Model | AUC-ROC | AUC-PR | Speciﬁcity | Sensitivity | PPV | Accuracy |\n| --- | --- | --- | --- | --- | --- | --- |\n| 5-day | 0.4247 | 0.2114 | 0.0256 | 0.9009 | 0.0833 | 0.6733 |","| Softattention | 1.326 | 0.787 | 0.699 | 0.689 | 0.187 | 0.529 |\n| --- | --- | --- | --- | --- | --- | --- |\n| GBVS | -0.074 | 0.489 | -0.083 | 0.578 | -0.143 | 0.485 |\n| Itti-Koch | -0.112 | 0.453 | -0.048 | 0.593 | 0.267 | 0.599 |",0]
["| K | Time(seconds) |\n| --- | --- |\n| 100 | 7.898881 |\n| 200 | 12.972909 |\n| 300 | 17.126809 |\n| 400 | 20.611251 |\n| 500 | 23.639403 |\n| 600 | 45.750178 |","| 700 | 33.864268 |\n| --- | --- |\n| 800 | 55.053441 |\n| 900 | 74.374957 |\n| 1000 | 52.925832 |",1]
["| K | Time(seconds) |\n| --- | --- |\n| 100 | 7.898881 |\n| 200 | 12.972909 |\n| 300 | 17.126809 |\n| 400 | 20.611251 |\n| 500 | 23.639403 |\n| 600 | 45.750178 |","| Timings |\n| --- |\n| 412.579 |\n| 159.950 |\n| 62.638 |\n| 4.572 |\n| 3.175 |\n| 1.113 |",0]
["| K | Time(seconds) |\n| --- | --- |\n| 100 | 7.898881 |\n| 200 | 12.972909 |\n| 300 | 17.126809 |","| 400 | 20.611251 |\n| --- | --- |\n| 500 | 23.639403 |\n| 600 | 45.750178 |\n| 700 | 33.864268 |\n| 800 | 55.053441 |\n| 900 | 74.374957 |\n| 1000 | 52.925832 |",1]
["| K | Time(seconds) |\n| --- | --- |\n| 100 | 7.898881 |\n| 200 | 12.972909 |\n| 300 | 17.126809 |","| 159.950 |\n| --- |\n| 62.638 |\n| 4.572 |\n| 3.175 |\n| 1.113 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |\n| cc-12-12-2<br>(unsat) | t<br>n | 50,7<br>16897 | 67,6(14,3)<br>19429(49780) | 79,3<br>16596 | 65<br>21532 | 523,6<br>13935 | 555,6<br>13564 | 49,1<br>16292 | 54,3<br>16135 |","| cc-15-15-2<br>(unsat) | t<br>n | 98,6<br>16948 | 125(94,5)<br>20166(14881) | 159,7<br>16674 | 91,3<br>16437 | 1037<br>10374 | 1134<br>10012 | 103,6<br>15741 | 102,1<br>15945 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| series-16<br>(sat) | t<br>n | 147,3<br>49857 | 543,9(516,5)<br>155102(146942) | 177,6<br>51767 | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| series-18<br>(sat) | t<br>n | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| renault-mod-0<br>(sat) | t<br>n | 1285<br>288 | >1h<br>– | 2675<br>251 | >1h<br>– | >1h<br>– | >1h<br>– | 1008<br>166 | 776,2<br>179 |\n| renault-mod-1<br>(unsat) | t<br>n | 2126<br>474 | >1h<br>– | 2283<br>469 | >1h<br>– | >1h<br>– | >1h<br>– | 431,4<br>161 | 785,4<br>234 |\n| renault-mod-3<br>(unsat) | t<br>n | 2598<br>546 | >1h<br>- | 2977<br>475 | >1h<br>– | >1h<br>– | >1h<br>– | 993,5<br>203 | 435,7<br>176 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |\n| cc-12-12-2<br>(unsat) | t<br>n | 50,7<br>16897 | 67,6(14,3)<br>19429(49780) | 79,3<br>16596 | 65<br>21532 | 523,6<br>13935 | 555,6<br>13564 | 49,1<br>16292 | 54,3<br>16135 |","| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| ehi-85-0<br>(unsat) | t<br>n | 2,1<br>722 | 94,2(0,15)<br>8005(4) | 2,7<br>61 | 11,7<br>3 | 12,1<br>3 | 12<br>3 | 0,15<br>4 | 1,2<br>149 |\n| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |\n| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |","| cc-12-12-2<br>(unsat) | t<br>n | 50,7<br>16897 | 67,6(14,3)<br>19429(49780) | 79,3<br>16596 | 65<br>21532 | 523,6<br>13935 | 555,6<br>13564 | 49,1<br>16292 | 54,3<br>16135 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cc-15-15-2<br>(unsat) | t<br>n | 98,6<br>16948 | 125(94,5)<br>20166(14881) | 159,7<br>16674 | 91,3<br>16437 | 1037<br>10374 | 1134<br>10012 | 103,6<br>15741 | 102,1<br>15945 |\n| series-16<br>(sat) | t<br>n | 147,3<br>49857 | 543,9(516,5)<br>155102(146942) | 177,6<br>51767 | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| series-18<br>(sat) | t<br>n | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– | >1h<br>– |\n| renault-mod-0<br>(sat) | t<br>n | 1285<br>288 | >1h<br>– | 2675<br>251 | >1h<br>– | >1h<br>– | >1h<br>– | 1008<br>166 | 776,2<br>179 |\n| renault-mod-1<br>(unsat) | t<br>n | 2126<br>474 | >1h<br>– | 2283<br>469 | >1h<br>– | >1h<br>– | >1h<br>– | 431,4<br>161 | 785,4<br>234 |\n| renault-mod-3<br>(unsat) | t<br>n | 2598<br>546 | >1h<br>- | 2977<br>475 | >1h<br>– | >1h<br>– | >1h<br>– | 993,5<br>203 | 435,7<br>176 |",1]
["| Instance |  | d/wdeg | d/wdeg<br>r.probe | d/wdeg<br>RSC | Impact | Node<br>Impact | Impact<br>RSC | alldel<br>by#del | fully<br>assigned |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| cc-10-10-2<br>(unsat) | t<br>n | 31<br>16790 | 40,6(30,3)<br>20626(15800) | 47,7<br>16544 | 31,3<br>16161 | 193,1<br>10370 | 219,2<br>10233 | 29,9<br>15639 | 33,1<br>15930 |","| ehi-85-2<br>(unsat) | t<br>n | 1<br>248 | 101,6(0,15)<br>7944(5) | 2,4<br>12 | 11,8<br>4 | 12,4<br>4 | 12,4<br>4 | 5,6<br>650 | 1,1<br>145 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| geo50-d4-<br>75-2(sat) | t<br>n | 334,9<br>50483 | 526(490,6)<br>88615(76247) | 311,3<br>46772 | >1h<br>– | >1h<br>– | >1h<br>– | 280<br>42946 | 129,2<br>18545 |\n| frb30-15-1<br>(sat) | t<br>n | 10,5<br>3557 | 42(15,4)<br>15833(4426) | 13,2<br>3275 | 66,4<br>17866 | 295,6<br>71052 | 375,6<br>85017 | 20,5<br>6044 | 15,6<br>4493 |\n| frb30-15-2<br>(sat) | t<br>n | 63,7<br>21330 | 123,6(97,8)<br>38765(27458) | 55,4<br>20019 | 273,4<br>79936 | 5,4<br>1306 | 391,3<br>81911 | 86,8<br>26596 | 91,2<br>26296 |\n| 40-8-753-<br>0,1(sat) | t<br>n | 76,5<br>21164 | 70,9(45,9)<br>21369(13422) | 60,4<br>15239 | 2117<br>523831 | 404,5<br>67979 | 931,3<br>180281 | 50,5<br>13823 | 486,3<br>127686 |\n| 40-11-414-<br>0,2(unsat) | t<br>n | 1192<br>336691 | 1261(1234)<br>354778(345212) | 1219<br>345886 | >1h<br>– | >1h<br>– | >1h<br>– | 1178<br>346368 | 1162<br>332844 |\n| 40-16-250-<br>0,35(unsat) | t<br>n | 2919<br>741883 | 2928(2895)<br>755386(743183) | 3172<br>750910 | >1h<br>– | >1h<br>– | >1h<br>– | 2893<br>747757 | 3038<br>764989 |\n| 40-25-180-<br>0,5(unsat) | t<br>n | 2481<br>373742 | 2689(2632)<br>402266(385072) | 2878<br>390292 | >1h<br>– | >1h<br>– | >1h<br>– | 2340<br>349685 | 2606<br>389603 |\n| Averagedcputime | t | 786,7 | 870,7 | 857,1 | – | – | – | 761,6 | 836,7 |",0]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |\n| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |","| Weak | 87,19 | 1,84 | 0,27 | 0,14 | 20,72 | 1,56 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Strong | 88,02 | 1,82 | 0,26 | 0,16 | 19,73 | 1,44 |",1]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |\n| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |","|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |\n| Instant | 89,07 | 1,79 | 0,28 | 0,15 | 19,86 | 1,43 |\n| Weak | 90,96 | 2,07 | 0,26 | 0,15 | 18,36 | 1,46 |\n| Strong | 93,75 | 2,05 | 0,26 | 0,16 | 19,98 | 1,50 |",0]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |","| Instant | 86,78 | 1,7 | 0,27 | 0,14 | 17,60 | 1,28 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Weak | 87,19 | 1,84 | 0,27 | 0,14 | 20,72 | 1,56 |\n| Strong | 88,02 | 1,82 | 0,26 | 0,16 | 19,73 | 1,44 |",1]
["|  | CommNet | MonkeyContact | PowerLaw |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| Patterns | MK-tr | IK-tr | MK-tree | IK-tree | MK-tr | IK-tree |","| Instant | 89,07 | 1,79 | 0,28 | 0,15 | 19,86 | 1,43 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Weak | 90,96 | 2,07 | 0,26 | 0,15 | 18,36 | 1,46 |\n| Strong | 93,75 | 2,05 | 0,26 | 0,16 | 19,98 | 1,50 |",0]
["| LPW | MARS | Market | iLIDS-VID | PRID2011 |\n| --- | --- | --- | --- | --- |\n| 2,731 | 1,261 | 1501 | 300 | 200 |\n| 590,547 | 1,067,516 | 32,668 | 43,800 | 40k |","| no | yes | yes | no | no |\n| --- | --- | --- | --- | --- |\n| 7,694 | 20,715 | - | 600 | 400 |",1]
["| LPW | MARS | Market | iLIDS-VID | PRID2011 |\n| --- | --- | --- | --- | --- |\n| 2,731 | 1,261 | 1501 | 300 | 200 |\n| 590,547 | 1,067,516 | 32,668 | 43,800 | 40k |","| Lvl | Trial1 | Trial2 | Trial3 | Trial4 | Avg |\n| --- | --- | --- | --- | --- | --- |\n| 1 | 32350 | 32350 | 32330 | 32330 | 32340.0 |\n| 2 | 60820 | 52070 | 60630 | 51530 | 56262.5 |\n| 3 | 42630 | 42630 | 41820 | 42630 | 42427.5 |\n| 4 | 28120 | 28120 | 28430 | 28120 | 28197.5 |\n| 5 | 64330 | 69100 | 63520 | 58070 | 63755.0 |\n| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |\n| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |\n| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",0]
["| LPW | MARS | Market | iLIDS-VID | PRID2011 |\n| --- | --- | --- | --- | --- |\n| 2,731 | 1,261 | 1501 | 300 | 200 |","| 590,547 | 1,067,516 | 32,668 | 43,800 | 40k |\n| --- | --- | --- | --- | --- |\n| no | yes | yes | no | no |\n| 7,694 | 20,715 | - | 600 | 400 |",1]
["| LPW | MARS | Market | iLIDS-VID | PRID2011 |\n| --- | --- | --- | --- | --- |\n| 2,731 | 1,261 | 1501 | 300 | 200 |","| 6 | 24470 | 33510 | 26270 | 33510 | 29440.0 |\n| --- | --- | --- | --- | --- | --- |\n| 7 | 33200 | 22660 | 23300 | 31940 | 27775.0 |\n| 8 | 34710 | 47520 | 39120 | 44820 | 41542.5 |\n| 9 | 24370 | 40010 | 40920 | 41440 | 36685.0 |\n| tot. | 345000 | 367970 | 356340 | 364390 | 358425 |",0]
["| Platform | ConveyHC-1ex |\n| --- | --- |\n| FPGAfabric | Virtex-6VLX760x4 |\n| LogicCell | 474Kx4 |\n| DSP | 864x4 |\n| BRAM | 26Mbx4 |","| DDRBW | 80GB/s |\n| --- | --- |\n| DDRsize | 64GB |\n| Power | 150W |\n| Technology | 40nm |",1]
["| Platform | ConveyHC-1ex |\n| --- | --- |\n| FPGAfabric | Virtex-6VLX760x4 |\n| LogicCell | 474Kx4 |\n| DSP | 864x4 |\n| BRAM | 26Mbx4 |","| Platform | CEs | GFLOP/s | GB/s |\n| --- | --- | --- | --- |\n| AMDHD7970 | 64×32 | 3,788 | 264 |\n| IntelXeonPhi5110P | 2×60 | 2,022 | 320 |\n| NVIDIAGTX680 | 192×8 | 3,090 | 192 |\n| NVIDIAK20 | 192×13 | 3,519 | 208 |\n| NVIDIAGTXTitan | 192×14 | 4,500 | 288 |",0]
["| Platform | ConveyHC-1ex |\n| --- | --- |\n| FPGAfabric | Virtex-6VLX760x4 |\n| LogicCell | 474Kx4 |\n| DSP | 864x4 |\n| BRAM | 26Mbx4 |","| DDRBW | 80GB/s |\n| --- | --- |\n| DDRsize | 64GB |\n| Power | 150W |\n| Technology | 40nm |",1]
["| Platform | ConveyHC-1ex |\n| --- | --- |\n| FPGAfabric | Virtex-6VLX760x4 |\n| LogicCell | 474Kx4 |\n| DSP | 864x4 |\n| BRAM | 26Mbx4 |","| NVIDIAK20 | 192×13 | 3,519 | 208 |\n| --- | --- | --- | --- |\n| NVIDIAGTXTitan | 192×14 | 4,500 | 288 |",0]
["| Method | TrainAnno. | TestAnno. | Acc. |\n| --- | --- | --- | --- |\n| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |\n| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |","| PartR-CNN<br>PoseNormCNN | BBox+Parts<br>BBox+Parts | n/a<br>n/a | 73.9<br>75.7 |\n| --- | --- | --- | --- |\n| POOF<br>DPD+DeCAF<br>PartR-CNN<br>PS-CNN(thispaper) | BBox+Parts<br>BBox+Parts<br>BBox+Parts<br>BBox+Parts | BBox<br>BBox<br>BBox<br>BBox | 56.8<br>65.0<br>76.4<br>76.2 |",1]
["| Method | TrainAnno. | TestAnno. | Acc. |\n| --- | --- | --- | --- |\n| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |\n| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |","| Cat | Method | Feature | Metric |  |  |\n| --- | --- | --- | --- | --- | --- |\n|  |  |  |  |  |  |\n| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |\n| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",0]
["| Method | TrainAnno. | TestAnno. | Acc. |\n| --- | --- | --- | --- |\n| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |\n| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |","| PartR-CNN<br>PoseNormCNN | BBox+Parts<br>BBox+Parts | n/a<br>n/a | 73.9<br>75.7 |\n| --- | --- | --- | --- |\n| POOF<br>DPD+DeCAF<br>PartR-CNN<br>PS-CNN(thispaper) | BBox+Parts<br>BBox+Parts<br>BBox+Parts<br>BBox+Parts | BBox<br>BBox<br>BBox<br>BBox | 56.8<br>65.0<br>76.4<br>76.2 |",1]
["| Method | TrainAnno. | TestAnno. | Acc. |\n| --- | --- | --- | --- |\n| Alignment<br>Attention<br>Bilinear-CNN | n/a<br>n/a<br>n/a | n/a<br>n/a<br>n/a | 53.6<br>69.7<br>72.5 |\n| CNNaug<br>Alignment<br>Noparts<br>Bilinear-CNN | BBox<br>BBox<br>BBox<br>BBox | BBox<br>BBox<br>BBox<br>BBox | 61.8<br>67.0<br>74.9<br>77.2 |","| A | XQDA<br>GOG<br>NFST<br>SCS | LOMO<br>GOG<br>LOMO,KCCA<br>CHS | -<br>-<br>-<br>- | XQDA<br>XQDA<br>NSFT<br>SCS | -<br>-<br>-<br>- |\n| --- | --- | --- | --- | --- | --- |\n| B | DCNN+<br>X-Corr<br>MTDnet | -<br>-<br>- | DCNN+<br>X-Corr<br>MTDnet | DVM<br>DVM<br>DVM,L2 | -<br>-<br>- |\n| C | S-CNN<br>DGD<br>MCP<br>JLML(Ours) | -<br>-<br>-<br>- | S-CNN<br>DGD<br>MCP<br>JLML | -<br>-<br>-<br>- | L2<br>L2<br>L2<br>L2 |",0]
["| Dataset | Method | EAR | σ | KNN-dist | MST-dist |\n| --- | --- | --- | --- | --- | --- |\n| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |\n| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 |  |\n| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |\n| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 |  |\n| Cancer | AP | 0.99±0.01 | 0.215±0.001 | 0.38±0.01 | 0.33±0.01 |\n| RE | 0.99±0.01 | 0.263±0.001 | 0.5±0.01 | 0.45±0.01 |  |\n| Qsar | AP | 1 | 0.216±0.001 | 1.1±0.01 | 0.94±0.01 |\n| RE | 0.99+0.01 | 0.264±0.001 | 1.71±0.01 | 1.64±0.01 |  |\n| Sonar | AP | 0.99±0.01 | 0.215±0.001 | 1.37±0.01 | 1.16±0.01 |\n| RE | 0.98±0.01 | 0.265±0.001 | 2.22±0.01 | 2.1±0.015 |  |","| Theorem | AP | 0.97±0.01 | 0.219±0.002 | 1.05±0.02 | 0.89±0.02 |\n| --- | --- | --- | --- | --- | --- |\n| RE | 0.87±0.08 | 0.267±0.002 | 1.96±0.02 | 1.64±0.15 |  |\n| Diabetes | AP | 0.98±0.01 | 0.217±0.003 | 0.27±0.01 | 0.23±0.01 |\n| RE | 0.95±0.04 | 0.262±0.001 | 0.36±0.01 | 0.31±0.01 |  |\n| Spambase | AP | 0.93±0.01 | 0.233±0.003 | 0.96±0.02 | 0.79±0.02 |\n| RE | 0.71±0.2 | 0.273±0.004 | 2.04±0.06 | 1.39±0.4 |  |\n| KDD99 | AP | 0.99±0.01 | 0.215±0.001 | 1.06±0.01 | 0.91±0.01 |\n| RE | 0.93±0.04 | 0.263±0.001 | 1.71±0.01 | 1.53±0.06 |  |\n| CAPTCHA | AP | 0.99±0.01 | 0.215±0.001 | 0.80±0.01 | 0.68±0.01 |\n| RE | 0.97±0.02 | 0.264±0.001 | 1.22±0.01 | 1.12±0.03 |  |",1]
["| Dataset | Method | EAR | σ | KNN-dist | MST-dist |\n| --- | --- | --- | --- | --- | --- |\n| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |\n| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 |  |\n| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |\n| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 |  |\n| Cancer | AP | 0.99±0.01 | 0.215±0.001 | 0.38±0.01 | 0.33±0.01 |\n| RE | 0.99±0.01 | 0.263±0.001 | 0.5±0.01 | 0.45±0.01 |  |\n| Qsar | AP | 1 | 0.216±0.001 | 1.1±0.01 | 0.94±0.01 |\n| RE | 0.99+0.01 | 0.264±0.001 | 1.71±0.01 | 1.64±0.01 |  |\n| Sonar | AP | 0.99±0.01 | 0.215±0.001 | 1.37±0.01 | 1.16±0.01 |\n| RE | 0.98±0.01 | 0.265±0.001 | 2.22±0.01 | 2.1±0.015 |  |","| kNN | SVM-RBF | DT | RF |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Dataset | AP | RE | AP | RE | AP | RE | AP | RE |\n| Digits08 | 0.89 | 0.96 | 0.97 | 0.89 | 0.87 | 0.63 | 0.85 | 0.48 |\n| Credit | 0.96 | 0.78 | 0.94 | 0.53 | 0.79 | 0.42 | 0.79 | 0.33 |\n| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| Dataset | Method | EAR | σ | KNN-dist | MST-dist |\n| --- | --- | --- | --- | --- | --- |\n| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |\n| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 |  |\n| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |\n| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 |  |","| Cancer | AP | 0.99±0.01 | 0.215±0.001 | 0.38±0.01 | 0.33±0.01 |\n| --- | --- | --- | --- | --- | --- |\n| RE | 0.99±0.01 | 0.263±0.001 | 0.5±0.01 | 0.45±0.01 |  |\n| Qsar | AP | 1 | 0.216±0.001 | 1.1±0.01 | 0.94±0.01 |\n| RE | 0.99+0.01 | 0.264±0.001 | 1.71±0.01 | 1.64±0.01 |  |\n| Sonar | AP | 0.99±0.01 | 0.215±0.001 | 1.37±0.01 | 1.16±0.01 |\n| RE | 0.98±0.01 | 0.265±0.001 | 2.22±0.01 | 2.1±0.015 |  |\n| Theorem | AP | 0.97±0.01 | 0.219±0.002 | 1.05±0.02 | 0.89±0.02 |\n| RE | 0.87±0.08 | 0.267±0.002 | 1.96±0.02 | 1.64±0.15 |  |\n| Diabetes | AP | 0.98±0.01 | 0.217±0.003 | 0.27±0.01 | 0.23±0.01 |\n| RE | 0.95±0.04 | 0.262±0.001 | 0.36±0.01 | 0.31±0.01 |  |\n| Spambase | AP | 0.93±0.01 | 0.233±0.003 | 0.96±0.02 | 0.79±0.02 |\n| RE | 0.71±0.2 | 0.273±0.004 | 2.04±0.06 | 1.39±0.4 |  |\n| KDD99 | AP | 0.99±0.01 | 0.215±0.001 | 1.06±0.01 | 0.91±0.01 |\n| RE | 0.93±0.04 | 0.263±0.001 | 1.71±0.01 | 1.53±0.06 |  |\n| CAPTCHA | AP | 0.99±0.01 | 0.215±0.001 | 0.80±0.01 | 0.68±0.01 |\n| RE | 0.97±0.02 | 0.264±0.001 | 1.22±0.01 | 1.12±0.03 |  |",1]
["| Dataset | Method | EAR | σ | KNN-dist | MST-dist |\n| --- | --- | --- | --- | --- | --- |\n| Digits08 | AP | 0.96±0.01 | 0.23±0.002 | 0.48±0.01 | 0.41±0.01 |\n| RE | 0.93±0.06 | 0.273±0.009 | 0.76±0.01 | 0.65±0.04 |  |\n| Credit | AP | 0.98±0.01 | 0.218±0.001 | 1.19±0.02 | 1.01±0.02 |\n| RE | 0.80±0.15 | 0.265±0.001 | 2.22±0.02 | 1.72±0.31 |  |","| Cancer | 0.99 | 0.99 | 0.99 | 0.99 | 0.97 | 0.89 | 0.99 | 0.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Qsar | 1 | 0.99 | 0.99 | 0.99 | 0.96 | 0.76 | 0.99 | 0.99 |\n| Sonar | 0.99 | 0.98 | 1 | 1 | 0.97 | 0.62 | 0.99 | 0.95 |\n| Theorem | 0.97 | 0.813 | 0.95 | 0.5 | 0.95 | 0.79 | 0.62 | 0.78 |\n| Diabetes | 0.99 | 0.935 | 0.99 | 0.9 | 0.83 | 0.63 | 0.88 | 0.61 |\n| Spambase | 0.93 | 0.99 | 0.48 | 0.84 | 0.08 | 0.11 | 0.99 | 0.98 |\n| KDD99 | 0.99 | 0.93 | 1 | 0.99 | 0.89 | 0.54 | 0.92 | 0.27 |\n| Captcha | 0.99 | 0.92 | 0.99 | 0.92 | 0.97 | 0.83 | 0.93 | 0.89 |",0]
["| FeatureGroup | Speciﬁcity | Sensitivity | Precision |\n| --- | --- | --- | --- |\n| A | 0.83 | 0.9 | 0.05 |","| A,B | 0.82 | 0.89 | 0.05 |\n| --- | --- | --- | --- |\n| A,B,C | 0.83 | 0.87 | 0.05 |\n| A,B,C,D | 0.85 | 0.85 | 0.15 |\n| A | 0.78 | 0.81 | 0.13 |\n| A,B | 0.78 | 0.84 | 0.14 |\n| A,B,C | 0.8 | 0.86 | 0.12 |\n| A,B,C,D | 0.78 | 0.84 | 0.13 |\n| A | 0.78 | 0.84 | 0.12 |\n| A,B | 0.8 | 0.85 | 0.11 |\n| A,B,C | 0.79 | 0.89 | 0.11 |\n| A,B,C,D | 0.8 | 0.84 | 0.11 |\n| A | 0.85 | 0.91 | 0.16 |\n| A,B | 0.77 | 0.88 | 0.11 |\n| A,B,C | 0.81 | 0.88 | 0.12 |\n| A,B,C,D | 0.92 | 0.87 | 0.14 |",1]
["| FeatureGroup | Speciﬁcity | Sensitivity | Precision |\n| --- | --- | --- | --- |\n| A | 0.83 | 0.9 | 0.05 |","| Threshold | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | 1.0 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Sensitivity | 1 | 1 | 1 | 0.99 | 0.96 | 0.76 | 0.31 |\n| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["| FeatureGroup | Speciﬁcity | Sensitivity | Precision |\n| --- | --- | --- | --- |\n| A | 0.83 | 0.9 | 0.05 |\n| A,B | 0.82 | 0.89 | 0.05 |\n| A,B,C | 0.83 | 0.87 | 0.05 |\n| A,B,C,D | 0.85 | 0.85 | 0.15 |\n| A | 0.78 | 0.81 | 0.13 |\n| A,B | 0.78 | 0.84 | 0.14 |\n| A,B,C | 0.8 | 0.86 | 0.12 |\n| A,B,C,D | 0.78 | 0.84 | 0.13 |\n| A | 0.78 | 0.84 | 0.12 |\n| A,B | 0.8 | 0.85 | 0.11 |\n| A,B,C | 0.79 | 0.89 | 0.11 |","| A,B,C,D | 0.8 | 0.84 | 0.11 |\n| --- | --- | --- | --- |\n| A | 0.85 | 0.91 | 0.16 |\n| A,B | 0.77 | 0.88 | 0.11 |\n| A,B,C | 0.81 | 0.88 | 0.12 |\n| A,B,C,D | 0.92 | 0.87 | 0.14 |",1]
["| FeatureGroup | Speciﬁcity | Sensitivity | Precision |\n| --- | --- | --- | --- |\n| A | 0.83 | 0.9 | 0.05 |\n| A,B | 0.82 | 0.89 | 0.05 |\n| A,B,C | 0.83 | 0.87 | 0.05 |\n| A,B,C,D | 0.85 | 0.85 | 0.15 |\n| A | 0.78 | 0.81 | 0.13 |\n| A,B | 0.78 | 0.84 | 0.14 |\n| A,B,C | 0.8 | 0.86 | 0.12 |\n| A,B,C,D | 0.78 | 0.84 | 0.13 |\n| A | 0.78 | 0.84 | 0.12 |\n| A,B | 0.8 | 0.85 | 0.11 |\n| A,B,C | 0.79 | 0.89 | 0.11 |","| Speciﬁcity | 0 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Accuracy | 0.53 | 0.54 | 0.55 | 0.59 | 0.75 | 0.82 | 0.62 |\n| R0 | 0.00 | 0.01 | 0.03 | 0.14 | 0.51 | 0.88 | 0.98 |\n| R1 | 1.00 | 1.00 | 1.00 | 0.97 | 0.92 | 0.60 | 0.18 |\n| R2 | 1.00 | 1.00 | 1.00 | 1.00 | 0.96 | 0.72 | 0.29 |\n| R3 | 1.00 | 1.00 | 1.00 | 1.00 | 0.98 | 0.92 | 0.42 |",0]
["|  |\n| --- |\n| Ours |\n| HCF |\n| LCT |","| CCT |\n| --- |\n| MEEM |\n| DST |\n| DSST |\n| KCF |\n| Struck |\n| TGPR |",1]
["|  |\n| --- |\n| Ours |\n| HCF |\n| LCT |","|  | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| IDT+FV | 85.9 | 57.2 |\n| IDT+HSV | 87.9 | 61.1 |\n| MoFAP | 88.3 | 61.7 |\n| TDD+FV | 90.3 | 63.2 |\n| Two-stream | 88 | 59.4 |\n| TSN | 94 | 68 |\n| TSNCorrnet(ours) | 94.3 | 69 |",0]
["|  |\n| --- |\n| Ours |\n| HCF |\n| LCT |","| CCT |\n| --- |\n| MEEM |\n| DST |\n| DSST |\n| KCF |\n| Struck |\n| TGPR |",1]
["|  |\n| --- |\n| Ours |\n| HCF |\n| LCT |","| IDT+HSV | 87.9 | 61.1 |\n| --- | --- | --- |\n| MoFAP | 88.3 | 61.7 |\n| TDD+FV | 90.3 | 63.2 |\n| Two-stream | 88 | 59.4 |\n| TSN | 94 | 68 |\n| TSNCorrnet(ours) | 94.3 | 69 |",0]
["| Architecture | UCF-101 | HMDB-51 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |\n| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |","| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |",1]
["| Architecture | UCF-101 | HMDB-51 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |\n| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |","| Architecture | Kinetics |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 53.9 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 56.1 | – | – | – | – |\n| (c)Two-Stream | 57.9 | 49.6 | 62.8 | 62.2 | 52.4 |\n| (d)3D-Fused | – | – | 62.7 | – | – |\n| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) |",0]
["| Architecture | UCF-101 | HMDB-51 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |\n| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |","| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |",1]
["| Architecture | UCF-101 | HMDB-51 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |\n| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |","| (d)3D-Fused | – | – | 62.7 | – | – |\n| --- | --- | --- | --- | --- | --- |\n| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) |",0]
["| Data | UDC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |\n| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |\n| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |\n| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |\n| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |\n| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |\n| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |\n| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |\n| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |","| M1+M2(DMN) | 0.7363 | 0.9196 | 0.6056 | 0.7509 | 0.6415 | 0.9155 | 0.4521 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| M1+M3 | 0.7442 | 0.9251 | 0.6149 | 0.7612 | 0.6134 | 0.8860 | 0.4224 |\n| M2+M3 | 0.7077 | 0.9198 | 0.5586 | 0.7263 | 0.5141 | 0.8659 | 0.2885 |\n| Inter-Dot(TB5) | 0.7655 | 0.9351 | 0.6443 | 0.7841 | 0.6728 | 0.9304 | 0.4908 |\n| Inter-Cosine | 0.7156 | 0.9121 | 0.5770 | 0.7268 | 0.6916 | 0.9249 | 0.5241 |\n| Inter-Bilinear | 0.7061 | 0.9135 | 0.5590 | 0.7225 | 0.4936 | 0.8224 | 0.2679 |",1]
["| Data | UDC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |\n| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |\n| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |\n| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |\n| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |\n| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |\n| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |\n| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |\n| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |","| Numberofmanually<br>extractedfacets | Associationmining | Postprocessing |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Recall | Precision | Recall | Precision | Recall |  |\n| 79 | 0.671 | 0.646 | 0.658 | 0.894 | 0.822 |\n| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |\n| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |\n| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 |",0]
["| Data | UDC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |\n| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |\n| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |\n| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |\n| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |\n| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |\n| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |\n| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |\n| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |\n| M1+M2(DMN) | 0.7363 | 0.9196 | 0.6056 | 0.7509 | 0.6415 | 0.9155 | 0.4521 |\n| M1+M3 | 0.7442 | 0.9251 | 0.6149 | 0.7612 | 0.6134 | 0.8860 | 0.4224 |\n| M2+M3 | 0.7077 | 0.9198 | 0.5586 | 0.7263 | 0.5141 | 0.8659 | 0.2885 |","| Inter-Dot(TB5) | 0.7655 | 0.9351 | 0.6443 | 0.7841 | 0.6728 | 0.9304 | 0.4908 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Inter-Cosine | 0.7156 | 0.9121 | 0.5770 | 0.7268 | 0.6916 | 0.9249 | 0.5241 |\n| Inter-Bilinear | 0.7061 | 0.9135 | 0.5590 | 0.7225 | 0.4936 | 0.8224 | 0.2679 |",1]
["| Data | UDC |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Change | MAP | Recall@5 | Recall@1 | Recall@2 | MAP | Recall@5 | Recall@1 |\n| OnlyM1 | 0.7599 | 0.9294 | 0.6385 | 0.7761 | 0.5632 | 0.8509 | 0.3654 |\n| OnlyM2 | 0.7253 | 0.9271 | 0.5836 | 0.7440 | 0.4996 | 0.8584 | 0.2595 |\n| Inter-Dot(TB5) | 0.7719 | 0.9343 | 0.6552 | 0.7893 | 0.6792 | 0.9356 | 0.5021 |\n| Inter-Cosine | 0.7507 | 0.9260 | 0.6248 | 0.7675 | 0.6729 | 0.9356 | 0.4944 |\n| Inter-Bilinear | 0.7228 | 0.9199 | 0.5829 | 0.7401 | 0.4923 | 0.8421 | 0.2647 |\n| OnlyM1 | 0.7449 | 0.9247 | 0.6167 | 0.7612 | 0.5776 | 0.8673 | 0.3805 |\n| OnlyM2 | 0.7052 | 0.9203 | 0.5538 | 0.7260 | 0.5100 | 0.8613 | 0.2794 |\n| OnlyM3 | 0.3887 | 0.6017 | 0.2015 | 0.3268 | 0.3699 | 0.6650 | 0.1585 |\n| M1+M2(DMN) | 0.7363 | 0.9196 | 0.6056 | 0.7509 | 0.6415 | 0.9155 | 0.4521 |\n| M1+M3 | 0.7442 | 0.9251 | 0.6149 | 0.7612 | 0.6134 | 0.8860 | 0.4224 |\n| M2+M3 | 0.7077 | 0.9198 | 0.5586 | 0.7263 | 0.5141 | 0.8659 | 0.2885 |","| 67 | 0.731 | 0.648 | 0.716 | 0.903 | 0.761 |\n| --- | --- | --- | --- | --- | --- |\n| 49 | 0.754 | 0.610 | 0.754 | 0.818 | 0.797 |\n| 65 | 0.719 | 0.634 | 0.709 | 0.872 | 0.793 |",0]
["| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |\n| --- | --- | --- | --- | --- |\n| 20 | 3 | 1835008 | 7339887 | 7339943 |\n| 20 | 4 | 1966080 | 9830098 | 9830264 |\n| 20 | 5 | 2031616 | 12189089 | 12189506 |\n| 20 | 6 | 2064384 | 14449488 | 14450429 |\n| 20 | 7 | 2080768 | 16643791 | 16645785 |\n| 20 | 8 | 2088960 | 18796046 | 18800118 |\n| 20 | 9 | 2093056 | 20921613 | 20929748 |\n| 21 | 2 | 3145728 | 9437117 | 9437137 |\n| 21 | 3 | 3670016 | 14679912 | 14679971 |\n| 21 | 4 | 3932160 | 19660483 | 19660658 |\n| 21 | 5 | 4063232 | 24378754 | 24379194 |\n| 21 | 6 | 4128768 | 28900113 | 28901107 |\n| 21 | 7 | 4161536 | 33289808 | 33291917 |\n| 21 | 8 | 4177920 | 37596431 | 37600744 |\n| 21 | 9 | 4186112 | 41851662 | 41860292 |\n| 22 | 2 | 6291456 | 18874298 | 18874319 |\n| 22 | 3 | 7340032 | 29359969 | 29360031 |\n| 22 | 4 | 7864320 | 39321268 | 39321452 |\n| 22 | 5 | 8126464 | 48758115 | 48758578 |","| 22 | 6 | 8257536 | 57801426 | 57802473 |\n| --- | --- | --- | --- | --- |\n| 22 | 7 | 8323072 | 66581969 | 66584193 |\n| 22 | 8 | 8355840 | 75197456 | 75202010 |\n| 22 | 9 | 8372224 | 83712271 | 83721396 |\n| 22 | 10 | 8380416 | 92165134 | 92183183 |",1]
["| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |\n| --- | --- | --- | --- | --- |\n| 20 | 3 | 1835008 | 7339887 | 7339943 |\n| 20 | 4 | 1966080 | 9830098 | 9830264 |\n| 20 | 5 | 2031616 | 12189089 | 12189506 |\n| 20 | 6 | 2064384 | 14449488 | 14450429 |\n| 20 | 7 | 2080768 | 16643791 | 16645785 |\n| 20 | 8 | 2088960 | 18796046 | 18800118 |\n| 20 | 9 | 2093056 | 20921613 | 20929748 |\n| 21 | 2 | 3145728 | 9437117 | 9437137 |\n| 21 | 3 | 3670016 | 14679912 | 14679971 |\n| 21 | 4 | 3932160 | 19660483 | 19660658 |\n| 21 | 5 | 4063232 | 24378754 | 24379194 |\n| 21 | 6 | 4128768 | 28900113 | 28901107 |\n| 21 | 7 | 4161536 | 33289808 | 33291917 |\n| 21 | 8 | 4177920 | 37596431 | 37600744 |\n| 21 | 9 | 4186112 | 41851662 | 41860292 |\n| 22 | 2 | 6291456 | 18874298 | 18874319 |\n| 22 | 3 | 7340032 | 29359969 | 29360031 |\n| 22 | 4 | 7864320 | 39321268 | 39321452 |\n| 22 | 5 | 8126464 | 48758115 | 48758578 |","| t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |\n| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |\n| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |\n| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |\n| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |\n| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |\n| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |\n| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |\n| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |\n| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |\n| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |\n| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",0]
["| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |\n| --- | --- | --- | --- | --- |\n| 20 | 3 | 1835008 | 7339887 | 7339943 |\n| 20 | 4 | 1966080 | 9830098 | 9830264 |\n| 20 | 5 | 2031616 | 12189089 | 12189506 |\n| 20 | 6 | 2064384 | 14449488 | 14450429 |\n| 20 | 7 | 2080768 | 16643791 | 16645785 |\n| 20 | 8 | 2088960 | 18796046 | 18800118 |\n| 20 | 9 | 2093056 | 20921613 | 20929748 |\n| 21 | 2 | 3145728 | 9437117 | 9437137 |\n| 21 | 3 | 3670016 | 14679912 | 14679971 |\n| 21 | 4 | 3932160 | 19660483 | 19660658 |\n| 21 | 5 | 4063232 | 24378754 | 24379194 |\n| 21 | 6 | 4128768 | 28900113 | 28901107 |\n| 21 | 7 | 4161536 | 33289808 | 33291917 |\n| 21 | 8 | 4177920 | 37596431 | 37600744 |\n| 21 | 9 | 4186112 | 41851662 | 41860292 |\n| 22 | 2 | 6291456 | 18874298 | 18874319 |\n| 22 | 3 | 7340032 | 29359969 | 29360031 |","| 22 | 4 | 7864320 | 39321268 | 39321452 |\n| --- | --- | --- | --- | --- |\n| 22 | 5 | 8126464 | 48758115 | 48758578 |\n| 22 | 6 | 8257536 | 57801426 | 57802473 |\n| 22 | 7 | 8323072 | 66581969 | 66584193 |\n| 22 | 8 | 8355840 | 75197456 | 75202010 |\n| 22 | 9 | 8372224 | 83712271 | 83721396 |\n| 22 | 10 | 8380416 | 92165134 | 92183183 |",1]
["| t<br>20 | k<br>2 | maximaln<br>1572864 | ourresult<br>4718528 | result<br>4718547 |\n| --- | --- | --- | --- | --- |\n| 20 | 3 | 1835008 | 7339887 | 7339943 |\n| 20 | 4 | 1966080 | 9830098 | 9830264 |\n| 20 | 5 | 2031616 | 12189089 | 12189506 |\n| 20 | 6 | 2064384 | 14449488 | 14450429 |\n| 20 | 7 | 2080768 | 16643791 | 16645785 |\n| 20 | 8 | 2088960 | 18796046 | 18800118 |\n| 20 | 9 | 2093056 | 20921613 | 20929748 |\n| 21 | 2 | 3145728 | 9437117 | 9437137 |\n| 21 | 3 | 3670016 | 14679912 | 14679971 |\n| 21 | 4 | 3932160 | 19660483 | 19660658 |\n| 21 | 5 | 4063232 | 24378754 | 24379194 |\n| 21 | 6 | 4128768 | 28900113 | 28901107 |\n| 21 | 7 | 4161536 | 33289808 | 33291917 |\n| 21 | 8 | 4177920 | 37596431 | 37600744 |\n| 21 | 9 | 4186112 | 41851662 | 41860292 |\n| 22 | 2 | 6291456 | 18874298 | 18874319 |\n| 22 | 3 | 7340032 | 29359969 | 29360031 |","| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |\n| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |\n| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |\n| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |\n| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |\n| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |\n| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |\n| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |\n| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |\n| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |\n| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |\n| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |\n| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 |",0]
["| Method | 4View | 8View |\n| --- | --- | --- |\n| Share300 | 45.5 | 40.9 |","| Share30024-V | 43.4 | 34.7 |\n| --- | --- | --- |\n| Share500 | 48.0 | 43.3 |\n| Share50024-V | 47.0 | 38.0 |",1]
["| Method | 4View | 8View |\n| --- | --- | --- |\n| Share300 | 45.5 | 40.9 |","| (a)Numberofrenderedviews |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| n | 200 | 500 | 1k | 2k | 10k | 86k |\n| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |\n| (b)NumberofCADmodels |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 160 | 1393 |\n| AP | 21.7 | 26.6 | 29.8 | 33.9 | 44.6 | 50.0 |",0]
["| Method | 4View | 8View |\n| --- | --- | --- |\n| Share300 | 45.5 | 40.9 |\n| Share30024-V | 43.4 | 34.7 |","| Share500 | 48.0 | 43.3 |\n| --- | --- | --- |\n| Share50024-V | 47.0 | 38.0 |",1]
["| Method | 4View | 8View |\n| --- | --- | --- |\n| Share300 | 45.5 | 40.9 |\n| Share30024-V | 43.4 | 34.7 |","| AP | 33.3 | 37.6 | 41.3 | 44.8 | 45.7 | 50.0 |\n| --- | --- | --- | --- | --- | --- | --- |\n| (b)NumberofCADmodels |  |  |  |  |  |  |\n| n | 5 | 10 | 20 | 40 | 160 | 1393 |\n| AP | 21.7 | 26.6 | 29.8 | 33.9 | 44.6 | 50.0 |",0]
["|  | Comparison1 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| k | CPL | Eglobal | C | CPL | Eglobal |\n| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |\n| 60 | 4.0429×10 | 1.3503×10 | 0.8713 | 7.8283×10 | 5.6824×10 |\n| 70 | 5.5281×10 | 5.8380×10 | 0.8108 | 5.6084×10 | 6.7248×10 |\n| 80 | 9.5953×10 | 1.1765×10 | 0.3231 | 0.0020 | 0.0031 |","| 90 | 6.5179×10 | 1.0460×10 | 0.0934 | 5.1846×10 | 7.2236×10 |\n| --- | --- | --- | --- | --- | --- |\n| 100 | 6.0881×10 | 8.7734×10 | 0.0351 | 3.3375×10 | 5.1019×10 |\n| 200 | 3.0427×10 | 4.8142×10 | 7.7821×10 | 2.2048×10 | 8.7778×10 |\n| 300 | 5.3190×10 | 7.0366×10 | 3.2108×10 | 6.5096×10 | 0.0042 |\n| 400 | 4.7068×10 | 3.0236×10 | 1.2254×10 | 7.0862×10 | 0.0097 |\n| 500 | 1.4848×10 | 2.1470×10 | 9.5681×10 | 0.0015 | 0.0204 |",1]
["|  | Comparison1 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| k | CPL | Eglobal | C | CPL | Eglobal |\n| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |\n| 60 | 4.0429×10 | 1.3503×10 | 0.8713 | 7.8283×10 | 5.6824×10 |\n| 70 | 5.5281×10 | 5.8380×10 | 0.8108 | 5.6084×10 | 6.7248×10 |\n| 80 | 9.5953×10 | 1.1765×10 | 0.3231 | 0.0020 | 0.0031 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["|  | Comparison1 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| k | CPL | Eglobal | C | CPL | Eglobal |\n| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |","| 60 | 4.0429×10 | 1.3503×10 | 0.8713 | 7.8283×10 | 5.6824×10 |\n| --- | --- | --- | --- | --- | --- |\n| 70 | 5.5281×10 | 5.8380×10 | 0.8108 | 5.6084×10 | 6.7248×10 |\n| 80 | 9.5953×10 | 1.1765×10 | 0.3231 | 0.0020 | 0.0031 |\n| 90 | 6.5179×10 | 1.0460×10 | 0.0934 | 5.1846×10 | 7.2236×10 |\n| 100 | 6.0881×10 | 8.7734×10 | 0.0351 | 3.3375×10 | 5.1019×10 |\n| 200 | 3.0427×10 | 4.8142×10 | 7.7821×10 | 2.2048×10 | 8.7778×10 |\n| 300 | 5.3190×10 | 7.0366×10 | 3.2108×10 | 6.5096×10 | 0.0042 |\n| 400 | 4.7068×10 | 3.0236×10 | 1.2254×10 | 7.0862×10 | 0.0097 |\n| 500 | 1.4848×10 | 2.1470×10 | 9.5681×10 | 0.0015 | 0.0204 |",1]
["|  | Comparison1 |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| k | CPL | Eglobal | C | CPL | Eglobal |\n| 50 | 4.0466×10 | 5.2804×10 | 0.2965 | 0.0078 | 0.0038 |","| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",0]
["|  | Counts |\n| --- | --- |\n| UniqueURLsCrawled | 1,113,653 |\n| UniqueDomainsCrawled | 329,575 |","| UniqueFilteredURLs | 115,337 |\n| --- | --- |\n| UniquePoisoneddomains | 1355 |\n| FilteredURLs/1000URLscrawled | 103.57 |\n| Poisoneddomains/1000domainscrawled | 4.11 |",1]
["|  | Counts |\n| --- | --- |\n| UniqueURLsCrawled | 1,113,653 |\n| UniqueDomainsCrawled | 329,575 |","| Description | Count |\n| --- | --- |\n| Requests | 252036 |\n| Responses | 251802 |\n| URLsaccessed | 503838 |\n| DistinctURLs | 201628 |\n| Distincthosts | 9580 |\n| Distincthosts(combined) | 8601 |",0]
["|  | Counts |\n| --- | --- |\n| UniqueURLsCrawled | 1,113,653 |\n| UniqueDomainsCrawled | 329,575 |","| UniqueFilteredURLs | 115,337 |\n| --- | --- |\n| UniquePoisoneddomains | 1355 |\n| FilteredURLs/1000URLscrawled | 103.57 |\n| Poisoneddomains/1000domainscrawled | 4.11 |",1]
["|  | Counts |\n| --- | --- |\n| UniqueURLsCrawled | 1,113,653 |\n| UniqueDomainsCrawled | 329,575 |","| Distincthosts | 9580 |\n| --- | --- |\n| Distincthosts(combined) | 8601 |",0]
["| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |\n| --- | --- | --- | --- | --- |\n| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |\n| Total | 5286 | 1420 | 325 | - |\n| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |","| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1351<br>1632<br>182<br>772<br>534<br>1767 | 207<br>266<br>43<br>135<br>100<br>250 | 188<br>312<br>30<br>106<br>99<br>272 | .153<br>.163<br>.236<br>.175<br>.187<br>.141 |\n| --- | --- | --- | --- | --- |\n| Total | 6238 | 1001 | 1007 | - |",1]
["| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |\n| --- | --- | --- | --- | --- |\n| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |\n| Total | 5286 | 1420 | 325 | - |\n| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |","| Data<br>Set | Repr | Degree<br>timemem | ConComp<br>timemem | PageRank<br>timemem |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| S1 | EXP<br>DEDUP1<br>BMP | 61<br>54<br>50 | 237<br>227<br>134 | 90<br>81<br>82 | 202<br>171<br>72 | 245<br>311<br>256 | 526<br>484<br>156 |\n| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |\n| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",0]
["| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |\n| --- | --- | --- | --- | --- |\n| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |","| Total | 5286 | 1420 | 325 | - |\n| --- | --- | --- | --- | --- |\n| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |\n| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1351<br>1632<br>182<br>772<br>534<br>1767 | 207<br>266<br>43<br>135<br>100<br>250 | 188<br>312<br>30<br>106<br>99<br>272 | .153<br>.163<br>.236<br>.175<br>.187<br>.141 |\n| Total | 6238 | 1001 | 1007 | - |",1]
["| Domain | Annotations | Aspectcorr. | Polaritycorr. | Corr.Rate |\n| --- | --- | --- | --- | --- |\n| C.S.(Engineer)<br>C.S.(DataMining)<br>C.S.(IR)<br>C.S.(NLP)<br>Energy<br>Politics | 1298<br>982<br>89<br>741<br>536<br>1640 | 294<br>246<br>33<br>243<br>158<br>446 | 71<br>80<br>3<br>38<br>29<br>104 | .227<br>.251<br>.371<br>.328<br>.295<br>.328 |","| S2 | EXP<br>DEDUP1<br>BMP | 294<br>335<br>311 | 2,879<br>2,582<br>186 | 498<br>460<br>335 | 2,869<br>2,573<br>163 | 3,287<br>3,049<br>812 | 9,164<br>8,126<br>293 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| N1 | EXP<br>DEDUP1<br>BMP | 142<br>141<br>131 | 1,109<br>926<br>219 | 241<br>483<br>149 | 1,088<br>901<br>150 | 1,456<br>1,317<br>469 | 3,389<br>2,874<br>377 |\n| N2 | EXP<br>DEDUP1<br>BMP | 268<br>312<br>257 | 2,710<br>2,216<br>479 | 593<br>495<br>280 | 2,690<br>2,194<br>347 | 4,493<br>3,726<br>824 | 8,432<br>6,892<br>691 |\n| IMDB | EXP<br>DEDUP1<br>BMP | 78<br>85<br>146 | 586<br>553<br>952 | 193<br>194<br>291 | 749<br>594<br>1038 | 861<br>802<br>807 | 1178<br>764<br>1185 |",0]
["| Respondent | Gender | Age | Rankingofnewssources |\n| --- | --- | --- | --- |\n| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |\n| 2 | F | 84 | TV>Radio>Newspapers/Mags.>School/University>Sci.Mags.>Web |","| 3 | F | 65 | TV>Newspapers/Mags.>Sci.Mags.>Radio>School/University>Web |\n| --- | --- | --- | --- |\n| 4 | M | 29 | Web>Radio>Newspapers/Mags.>TV>Sci.Mags.>School/University |",1]
["| Respondent | Gender | Age | Rankingofnewssources |\n| --- | --- | --- | --- |\n| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |\n| 2 | F | 84 | TV>Radio>Newspapers/Mags.>School/University>Sci.Mags.>Web |","|  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| evaluating↓ | tweets | retweets | tweets | retweets | tweets | retweets |\n| age(EN) | 0.288 | 0.322 | 0.298 | 0.294 | 0.263 | 0.340 |\n| gender(EN) | 0.515 | 0.535 | 0.550 | 0.541 | 0.519 | 0.544 |\n| age(SP) | 0.350 | 0.290 | 0.357 | 0.349 | 0.357 | 0.282 |\n| gender(SP) | 0.532 | 0.510 | 0.525 | 0.544 | 0.549 | 0.504 |",0]
["| Respondent | Gender | Age | Rankingofnewssources |\n| --- | --- | --- | --- |\n| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |","| 2 | F | 84 | TV>Radio>Newspapers/Mags.>School/University>Sci.Mags.>Web |\n| --- | --- | --- | --- |\n| 3 | F | 65 | TV>Newspapers/Mags.>Sci.Mags.>Radio>School/University>Web |\n| 4 | M | 29 | Web>Radio>Newspapers/Mags.>TV>Sci.Mags.>School/University |",1]
["| Respondent | Gender | Age | Rankingofnewssources |\n| --- | --- | --- | --- |\n| 1 | F | 32 | TV>Radio>School/University>Newspapers/Mags.>Web>Sci.Mags. |","| age(SP) | 0.350 | 0.290 | 0.357 | 0.349 | 0.357 | 0.282 |\n| --- | --- | --- | --- | --- | --- | --- |\n| gender(SP) | 0.532 | 0.510 | 0.525 | 0.544 | 0.549 | 0.504 |",0]
["| BaselineTardis |  |\n| --- | --- |\n| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |\n| LivelockDetector |  |\n| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |","| LeasePrediction |  |\n| --- | --- |\n| MinimalLeaseValue<br>MaximalLeaseValue | 8<br>64 |",1]
["| BaselineTardis |  |\n| --- | --- |\n| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |\n| LivelockDetector |  |\n| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |","| ASRsystem |  |\n| --- | --- |\n| Inputunits | 23 |\n| Hiddenunits | 512 |\n| Outputunits | 27293 |\n| LSTMlayerdepth | 2 |\n| MTsystem |  |\n| Sourcevocabulary | 27293 |\n| Targetvocabulary | 33155 |\n| Embedsize | 128 |\n| Inputunits | 128 |\n| Hiddenunits | 512 |\n| Outputunits | 33155 |\n| LSTMlayerdepth | 2 |\n| Optimization |  |\n| Initiallearningrate | 0.001000 |\n| Learningdescendrate | 1.800000 |\n| Optimizingmethod | Adam |",0]
["| BaselineTardis |  |\n| --- | --- |\n| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |\n| LivelockDetector |  |\n| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |","| LeasePrediction |  |\n| --- | --- |\n| MinimalLeaseValue<br>MaximalLeaseValue | 8<br>64 |",1]
["| BaselineTardis |  |\n| --- | --- |\n| StaticLease<br>SelfIncrementPeriod | 8<br>100memoryaccesses |\n| LivelockDetector |  |\n| AHBsize<br>ThresholdCounter<br>CheckThreshold | 8entries<br>min100,max800<br>10 |","| Learningdescendrate | 1.800000 |\n| --- | --- |\n| Optimizingmethod | Adam |",0]
["| Model | (R,N) | Accuracy | Time | Speedup |\n| --- | --- | --- | --- | --- |\n| Children’sBookTest-NamedEntity |  |  |  |  |","| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |\n| --- | --- | --- | --- | --- |\n| LSTM | n/a | 0.438 | 124.5s | 1x |\n| Children’sBookTest-CommonNoun |  |  |  |  |\n| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.493<br>0.487<br>0.497 | 39.3s<br>29.7s<br>19.8s | 3.09x<br>4.09x<br>6.14x |\n| LSTM | n/a | 0.453 | 121.5s | 1x |",1]
["| Model | (R,N) | Accuracy | Time | Speedup |\n| --- | --- | --- | --- | --- |\n| Children’sBookTest-NamedEntity |  |  |  |  |","| Model | F1measure |  |  |\n| --- | --- | --- | --- |\n|  | forward | backward | bidirectional |\n| lstm<br>gru | 95.12<br>95.43 | –<br>– | 95.23<br>95.53 |\n| E-rnn<br>J-rnn<br>I-rnn | 94.73<br>94.94<br>95.21 | 93.61<br>94.80<br>94.64 | 94.71<br>94.89<br>94.75 |\n| I-rnnWordsGRU | 93.58 | 93.81 | 93.83 |\n| I-rnnWords<br>I-rnnWords+Classes<br>I-rnnWords+Classes+CC | 94.31<br>95.37<br>95.40 | 94.32<br>95.44<br>95.39 | 94.47<br>95.56<br>95.46 |\n| I-rnnWordsdeep<br>I-rnnWords+Classesdeep<br>I-rnnWords+Classes+CCdeep | 94.47<br>95.67<br>95.56 | 94.29<br>95.54<br>95.39 | 94.52<br>95.60<br>95.53 |",0]
["| Model | (R,N) | Accuracy | Time | Speedup |\n| --- | --- | --- | --- | --- |\n| Children’sBookTest-NamedEntity |  |  |  |  |\n| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |\n| LSTM | n/a | 0.438 | 124.5s | 1x |\n| Children’sBookTest-CommonNoun |  |  |  |  |","| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.493<br>0.487<br>0.497 | 39.3s<br>29.7s<br>19.8s | 3.09x<br>4.09x<br>6.14x |\n| --- | --- | --- | --- | --- |\n| LSTM | n/a | 0.453 | 121.5s | 1x |",1]
["| Model | (R,N) | Accuracy | Time | Speedup |\n| --- | --- | --- | --- | --- |\n| Children’sBookTest-NamedEntity |  |  |  |  |\n| LSTM-Jump | (1,5)<br>(1,3)<br>(1,1) | 0.468<br>0.464<br>0.452 | 40.9s<br>30.3s<br>19.9s | 3.04x<br>4.11x<br>6.26x |\n| LSTM | n/a | 0.438 | 124.5s | 1x |\n| Children’sBookTest-CommonNoun |  |  |  |  |","| I-rnnWords<br>I-rnnWords+Classes<br>I-rnnWords+Classes+CC | 94.31<br>95.37<br>95.40 | 94.32<br>95.44<br>95.39 | 94.47<br>95.56<br>95.46 |\n| --- | --- | --- | --- |\n| I-rnnWordsdeep<br>I-rnnWords+Classesdeep<br>I-rnnWords+Classes+CCdeep | 94.47<br>95.67<br>95.56 | 94.29<br>95.54<br>95.39 | 94.52<br>95.60<br>95.53 |",0]
["|  | position | orientation |\n| --- | --- | --- |\n| Kneip’smethod | 1.18E-05 | 1.02E-05 |\n| Masselli’smethod | 1.84E-08 | 4.89E-10 |","| Proposedmethod | 1.66E-10 | 5.30E-12 |\n| --- | --- | --- |\n| Proposedmethod+Rootpolishing | 5.07E-11 | 1.53E-13 |",1]
["|  | position | orientation |\n| --- | --- | --- |\n| Kneip’smethod | 1.18E-05 | 1.02E-05 |\n| Masselli’smethod | 1.84E-08 | 4.89E-10 |","| Method\\Stepsize | 0.005 | 0.01 | 0.02 | 0.04 | 0.08 |\n| --- | --- | --- | --- | --- | --- |\n| Gauss-Newton | 0 |  |  |  |  |\n| GradientDescent | 9.5238 | 0 | 0 | 0 | 0 |\n| Conjugate-Fletcher | 0.9524 | 0 | 1.9048 | 2.8571 | 41.905 |\n| Conjugate-Polak | 8.5714 | 0 | 2.8571 | 18.095 | 69.524 |\n| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |\n| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |\n| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |",0]
["|  | position | orientation |\n| --- | --- | --- |\n| Kneip’smethod | 1.18E-05 | 1.02E-05 |\n| Masselli’smethod | 1.84E-08 | 4.89E-10 |","| Proposedmethod | 1.66E-10 | 5.30E-12 |\n| --- | --- | --- |\n| Proposedmethod+Rootpolishing | 5.07E-11 | 1.53E-13 |",1]
["|  | position | orientation |\n| --- | --- | --- |\n| Kneip’smethod | 1.18E-05 | 1.02E-05 |\n| Masselli’smethod | 1.84E-08 | 4.89E-10 |","| Conjugate-Hestenes | 40 | 26.667 | 23.81 | 36.19 | 94.286 |\n| --- | --- | --- | --- | --- | --- |\n| Conjugate-DaiYun | 97.143 | 94.286 | 98.095 | 98.095 | 98.095 |\n| Newton’sMethod | 0 | 0 | 0.9523 | 0.9523 | 8.5714 |",0]
["| Nodes | Communities |\n| --- | --- |\n| n1 | TUDelftresearchgroup-NAS |\n| n2 | MITresearchgroup |\n| n3 | CornellUniv.researchgroup |","| n4 | IEEE/ACMToNeditorialboard |\n| --- | --- |\n| n5 | KansasStateUniv.researchgroup |\n| n6 | Ericsson |\n| n7 | KPN(DutchTelecom) |\n| n8 | Pianoclub |\n| n9 | TNO(ADutchconsultingcompany) |\n| n10 | Arockband |\n| n11 | Asoccerteam |\n| n12 | TUDelftresearchgroup-Bioinformatics |",1]
["| Nodes | Communities |\n| --- | --- |\n| n1 | TUDelftresearchgroup-NAS |\n| n2 | MITresearchgroup |\n| n3 | CornellUniv.researchgroup |","| CD | UoA | mn2017 | med2017 | mn2014 | med2014 |\n| --- | --- | --- | --- | --- | --- |\n| Y | Chemistry | 0.663 | 0.802 | 0.637 | 0.738 |\n| Y | BiologicalSciences | 0.188 | 0.797 | 0.288 | 0.785 |\n| N | Aero.Mech.Chem.Engineering | 0.771 | 0.758 | 0.745 | 0.760 |\n| N | SocialWorkandPolicy | 0.697 | 0.752 | 0.629 | 0.635 |\n| Y | Comp.Sci.andInformatics | 0.715 | 0.743 | 0.720 | 0.678 |\n| Y | Economics | 0.750 | 0.737 | 0.760 | 0.770 |\n| Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |\n| Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 |\n| Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 |\n| Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |",0]
["| Nodes | Communities |\n| --- | --- |\n| n1 | TUDelftresearchgroup-NAS |","| n2 | MITresearchgroup |\n| --- | --- |\n| n3 | CornellUniv.researchgroup |\n| n4 | IEEE/ACMToNeditorialboard |\n| n5 | KansasStateUniv.researchgroup |\n| n6 | Ericsson |\n| n7 | KPN(DutchTelecom) |\n| n8 | Pianoclub |\n| n9 | TNO(ADutchconsultingcompany) |\n| n10 | Arockband |\n| n11 | Asoccerteam |\n| n12 | TUDelftresearchgroup-Bioinformatics |",1]
["| Nodes | Communities |\n| --- | --- |\n| n1 | TUDelftresearchgroup-NAS |","| Y | EarthSystemsandEnviro.Sciences | 0.472 | 0.707 | 0.512 | 0.686 |\n| --- | --- | --- | --- | --- | --- |\n| Y | ClinicalMedicine | 0.654 | 0.677 | 0.666 | 0.662 |\n| Y | PublicHealthandPrimaryCare | 0.535 | 0.674 | 0.607 | 0.653 |\n| Y | Physics | 0.600 | 0.666 | 0.627 | 0.605 |",0]
["| k..kminmax | c±se | c±soute | c±sine |\n| --- | --- | --- | --- |\n| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |\n| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |\n| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |\n| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |","| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| --- | --- | --- | --- |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",1]
["| k..kminmax | c±se | c±soute | c±sine |\n| --- | --- | --- | --- |\n| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |\n| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |\n| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |\n| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |","| \\|A\\| |  |  |  |\n| --- | --- | --- | --- |\n| 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 |\n| 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 |\n| 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |\n| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 |\n| 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 |\n| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |\n| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |\n| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |\n| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |\n| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |",0]
["| k..kminmax | c±se | c±soute | c±sine |\n| --- | --- | --- | --- |\n| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |\n| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |","| 8..16 | 0.814±0.070 | 0.964174±0.06003 | 0.970989±0.04415 |\n| --- | --- | --- | --- |\n| 16..32 | 1.264±0.056 | 1.57125±0.05505 | 1.55149±0.03262 |\n| 32..64 | 1.928±0.059 | 2.46908±0.05031 | 2.42959±0.03998 |\n| 64..128 | 3.077±0.109 | 4.23814±0.2622 | 4.01782±0.2525 |\n| 128..256 | 10.913±0.826 | 14.6949±1.735 | 15.8362±2.278 |",1]
["| k..kminmax | c±se | c±soute | c±sine |\n| --- | --- | --- | --- |\n| 2..3 | 0.444±0.053 | 0.55317±0.05973 | 0.475344±0.0474 |\n| 4..7 | 0.584±0.065 | 0.713296±0.06143 | 0.648814±0.04929 |","| 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 |\n| --- | --- | --- | --- |\n| 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |\n| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 |\n| 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 |\n| 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |",0]
["| Method | Time |\n| --- | --- |\n| FastTumorSegmentation(PHP) | 28.8ms |","| AccurateTumorSegmentation(PHP+CNN) | 151ms |\n| --- | --- |\n| HyMap | 931ms |\n| ConvNetCNN3 | 97.1ms |\n| MCTA | 228.12ms |\n| TVIA | 109ms |",1]
["| Method | Time |\n| --- | --- |\n| FastTumorSegmentation(PHP) | 28.8ms |","| Method | Precision | Recall | F1-score |\n| --- | --- | --- | --- |\n| FastTumorSegmentation(PHP) | 0.772 | 0.7890 | 0.7804 |\n| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |\n| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",0]
["| Method | Time |\n| --- | --- |\n| FastTumorSegmentation(PHP) | 28.8ms |","| AccurateTumorSegmentation(PHP+CNN) | 151ms |\n| --- | --- |\n| HyMap | 931ms |\n| ConvNetCNN3 | 97.1ms |\n| MCTA | 228.12ms |\n| TVIA | 109ms |",1]
["| Method | Time |\n| --- | --- |\n| FastTumorSegmentation(PHP) | 28.8ms |","| AccurateTumorSegmentation(PHP+CNN) | 0.7413 | 0.8172 | 0.7774 |\n| --- | --- | --- | --- |\n| HyMap | 0.6469 | 0.7228 | 0.6827 |\n| ConvNetCNN3 | 0.6234 | 0.8167 | 0.7071 |\n| MCTA | 0.5429 | 0.9586 | 0.6932 |\n| TVIA | 0.5334 | 0.9747 | 0.6895 |",0]
["| DiﬃcultyTriplets |  |  |  |\n| --- | --- | --- | --- |\n| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |\n| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |","| (0.0,0.0,0.25) | (0.5,0.0,0.0) | (0.0,1.0,0.0) | (0.5,0.5,0.5) |\n| --- | --- | --- | --- |\n| (0.25,0.0,0.0) | (0.0,0.75,0.0) | (0.0,0.0,1.0) | (0.75,0.75,0.75) |",1]
["| DiﬃcultyTriplets |  |  |  |\n| --- | --- | --- | --- |\n| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |\n| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |","| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 |\n| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["| DiﬃcultyTriplets |  |  |  |\n| --- | --- | --- | --- |\n| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |\n| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |","| (0.0,0.0,0.25) | (0.5,0.0,0.0) | (0.0,1.0,0.0) | (0.5,0.5,0.5) |\n| --- | --- | --- | --- |\n| (0.25,0.0,0.0) | (0.0,0.75,0.0) | (0.0,0.0,1.0) | (0.75,0.75,0.75) |",1]
["| DiﬃcultyTriplets |  |  |  |\n| --- | --- | --- | --- |\n| (0.0,0.0,0.0) | (0.0,0.5,0.0) | (0.0,0.0,0.75) | (1.0.0,0.0,0.0) |\n| (0.0,0.25,0.0) | (0.0,0.0,0.5) | (0.75,0.0,0.0) | (0.25,0.25,0.25) |","| 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 |\n| 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 |\n| 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 |\n| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 |\n| 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 |\n| 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 |\n| 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |",0]
["|  | Chinese | English |\n| --- | --- | --- |\n| Sentences | 13M |  |","| Runningwords | 255M | 279M |\n| --- | --- | --- |\n| Vocabulary | 370K | 833K |\n| Tunesentences | 1844(NN),985(MERT) |  |\n| Testsentences | 1124 |  |",1]
["|  | Chinese | English |\n| --- | --- | --- |\n| Sentences | 13M |  |","|  | Arabic | English |\n| --- | --- | --- |\n| Sentences | 8M |  |\n| Runningwords | 189M | 186M |\n| Vocabulary | 608K | 519K |\n| Tunesentences | 1510(NN),1080(MERT) |  |\n| Testsentences | 1137 |  |",0]
["|  | Chinese | English |\n| --- | --- | --- |\n| Sentences | 13M |  |\n| Runningwords | 255M | 279M |","| Vocabulary | 370K | 833K |\n| --- | --- | --- |\n| Tunesentences | 1844(NN),985(MERT) |  |\n| Testsentences | 1124 |  |",1]
["|  | Chinese | English |\n| --- | --- | --- |\n| Sentences | 13M |  |\n| Runningwords | 255M | 279M |","| Runningwords | 189M | 186M |\n| --- | --- | --- |\n| Vocabulary | 608K | 519K |\n| Tunesentences | 1510(NN),1080(MERT) |  |\n| Testsentences | 1137 |  |",0]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,245 | 1,379 |\n| Organization | 1,213 | 274 |\n| Person | 7,480 | 1,294 |","| Miscellaneousnames | 282 | 49 |\n| --- | --- | --- |\n| All | 15,222 | 2,996 |",1]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,245 | 1,379 |\n| Organization | 1,213 | 274 |\n| Person | 7,480 | 1,294 |","| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,247 | 1,379 |\n| Organization | 1,213 | 274 |\n| Person | 7,480 | 1,294 |\n| Miscellaneousnames | 282 | 49 |\n| All | 15,222 | 2,996 |",0]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,245 | 1,379 |","| Organization | 1,213 | 274 |\n| --- | --- | --- |\n| Person | 7,480 | 1,294 |\n| Miscellaneousnames | 282 | 49 |\n| All | 15,222 | 2,996 |",1]
["| EntityTypes | TrainingSet | TestSet |\n| --- | --- | --- |\n| Location | 6,245 | 1,379 |","| Organization | 1,213 | 274 |\n| --- | --- | --- |\n| Person | 7,480 | 1,294 |\n| Miscellaneousnames | 282 | 49 |\n| All | 15,222 | 2,996 |",0]
["| Encoding | Conceptlabel |\n| --- | --- |\n| 00000000000000 | Thing |\n| 00010000000000 | Schedule |\n| 00100000000000 | Organization |\n| 00110000000000 | Publication |","| 01000000000000 | Person |\n| --- | --- |\n| 01000100000000 | TeachingAssistant |\n| 01001000000000 | Student |\n| ... |  |\n| 01001110010011 | AssociateProfessor |\n| ... |  |\n| 01010000000000 | Work |",1]
["| Encoding | Conceptlabel |\n| --- | --- |\n| 00000000000000 | Thing |\n| 00010000000000 | Schedule |\n| 00100000000000 | Organization |\n| 00110000000000 | Publication |","| RepresentationType | T=50 | T=100 | T=500 |\n| --- | --- | --- | --- |\n| Abstract | 0.722 | 0.829 | 0.928 |\n| Keywords | 0.081 | 0.117 | 0.152 |\n| Concept1 | 0.766 | 0.893 | 0.970 |\n| Concept2 | 0.295 | 0.398 | 0.579 |",0]
["| Encoding | Conceptlabel |\n| --- | --- |\n| 00000000000000 | Thing |","| 00010000000000 | Schedule |\n| --- | --- |\n| 00100000000000 | Organization |\n| 00110000000000 | Publication |\n| 01000000000000 | Person |\n| 01000100000000 | TeachingAssistant |\n| 01001000000000 | Student |\n| ... |  |\n| 01001110010011 | AssociateProfessor |\n| ... |  |\n| 01010000000000 | Work |",1]
["| Encoding | Conceptlabel |\n| --- | --- |\n| 00000000000000 | Thing |","| Concept1 | 0.766 | 0.893 | 0.970 |\n| --- | --- | --- | --- |\n| Concept2 | 0.295 | 0.398 | 0.579 |",0]
["| Layer | NumberofUnits | InputtoUnit | Num.Parameters |\n| --- | --- | --- | --- |\n| Conv1 | 64x30x30 | 3×7×7 | 9K |\n| Conv2 | 128x13x13 | 64×5×5 | 204K |\n| Conv3 | 256x11x11 | 128×3×3 | 294K |\n| ReLU1 | 256 | 30976 | 7M |","| ReLU2 | 256 | 256 | 65K |\n| --- | --- | --- | --- |\n| Softmax | 136 | 256 | 34K |\n| StateUpdate. | 1360 | 136 | 184K |\n| ReLU3 | 256 | 1360+256 | 413K |\n| ReLU4 | 256 | 256 | 65K |\n| LU | 10 | 256 | 2K |",1]
["| Layer | NumberofUnits | InputtoUnit | Num.Parameters |\n| --- | --- | --- | --- |\n| Conv1 | 64x30x30 | 3×7×7 | 9K |\n| Conv2 | 128x13x13 | 64×5×5 | 204K |\n| Conv3 | 256x11x11 | 128×3×3 | 294K |\n| ReLU1 | 256 | 30976 | 7M |","| Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv1 | 240*240 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Layer | NumberofUnits | InputtoUnit | Num.Parameters |\n| --- | --- | --- | --- |\n| Conv1 | 64x30x30 | 3×7×7 | 9K |\n| Conv2 | 128x13x13 | 64×5×5 | 204K |\n| Conv3 | 256x11x11 | 128×3×3 | 294K |\n| ReLU1 | 256 | 30976 | 7M |","| ReLU2 | 256 | 256 | 65K |\n| --- | --- | --- | --- |\n| Softmax | 136 | 256 | 34K |\n| StateUpdate. | 1360 | 136 | 184K |\n| ReLU3 | 256 | 1360+256 | 413K |\n| ReLU4 | 256 | 256 | 65K |\n| LU | 10 | 256 | 2K |",1]
["| Layer | NumberofUnits | InputtoUnit | Num.Parameters |\n| --- | --- | --- | --- |\n| Conv1 | 64x30x30 | 3×7×7 | 9K |\n| Conv2 | 128x13x13 | 64×5×5 | 204K |\n| Conv3 | 256x11x11 | 128×3×3 | 294K |\n| ReLU1 | 256 | 30976 | 7M |","| Conv2 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Conv3 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv4 | 240*240*32 | 3*3 | 1 | 32 | ReLU | 240*240*32 |\n| Conv5 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |\n| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 |",0]
["| Model | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| Two-Stream | 88.0 | 59.4 |\n| IDT | 86.4 | 61.7 |\n| DynamicImageNetworks+IDT | 89.1 | 65.2 |\n| TDD+IDT | 91.5 | 65.9 |","| Two-StreamFusion+IDT | 93.5 | 69.2 |\n| --- | --- | --- |\n| TemporalSegmentNetworks | 94.2 | 69.4 |\n| ST-ResNet+IDT | 94.6 | 70.3 |\n| DeepNetworks,Sports1Mpre-training | 65.2 | - |\n| C3Donenetwork,Sports1Mpre-training | 82.3 | - |\n| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",1]
["| Model | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| Two-Stream | 88.0 | 59.4 |\n| IDT | 86.4 | 61.7 |\n| DynamicImageNetworks+IDT | 89.1 | 65.2 |\n| TDD+IDT | 91.5 | 65.9 |","| Architecture | UCF-101 | HMDB-51 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow |  |\n| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |\n| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |\n| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |\n| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |\n| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |",0]
["| Model | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| Two-Stream | 88.0 | 59.4 |\n| IDT | 86.4 | 61.7 |\n| DynamicImageNetworks+IDT | 89.1 | 65.2 |\n| TDD+IDT | 91.5 | 65.9 |\n| Two-StreamFusion+IDT | 93.5 | 69.2 |","| TemporalSegmentNetworks | 94.2 | 69.4 |\n| --- | --- | --- |\n| ST-ResNet+IDT | 94.6 | 70.3 |\n| DeepNetworks,Sports1Mpre-training | 65.2 | - |\n| C3Donenetwork,Sports1Mpre-training | 82.3 | - |\n| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",1]
["| Model | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| Two-Stream | 88.0 | 59.4 |\n| IDT | 86.4 | 61.7 |\n| DynamicImageNetworks+IDT | 89.1 | 65.2 |\n| TDD+IDT | 91.5 | 65.9 |\n| Two-StreamFusion+IDT | 93.5 | 69.2 |","| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |\n| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |\n| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |\n| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 |",0]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 1.2924 | 2.1673 | 2.2389 |","| PerformanceModel | 3.0727 | 3.0683 | 2.3864 |\n| --- | --- | --- | --- |\n| AdditiveModel | 1.3194 | 2.1294 | 2.0707 |\n| PopularityModel | 1.3215 | 2.1768 | 2.1428 |\n| FullRegression | 2.1291 | 2.6120 | 2.0933 |\n| PerformanceRegression | 3.0728 | 3.0682 | 2.3858 |",1]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 1.2924 | 2.1673 | 2.2389 |","| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 0.0391 | 0.0455 | 0.0403 |\n| PerformanceModel | 0.0782 | 0.0783 | 0.0626 |\n| AdditiveModel | 0.0402 | 0.0478 | 0.0420 |\n| PopularityModel | 0.0400 | 0.0465 | 0.0409 |\n| FullRegression | 0.0527 | 0.0569 | 0.0480 |\n| PerformanceRegression | 0.0782 | 0.0783 | 0.0625 |",0]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 1.2924 | 2.1673 | 2.2389 |\n| PerformanceModel | 3.0727 | 3.0683 | 2.3864 |\n| AdditiveModel | 1.3194 | 2.1294 | 2.0707 |\n| PopularityModel | 1.3215 | 2.1768 | 2.1428 |","| FullRegression | 2.1291 | 2.6120 | 2.0933 |\n| --- | --- | --- | --- |\n| PerformanceRegression | 3.0728 | 3.0682 | 2.3858 |",1]
["| Model | ByUser | ByDay | InFuture |\n| --- | --- | --- | --- |\n| SocialSampling | 1.2924 | 2.1673 | 2.2389 |\n| PerformanceModel | 3.0727 | 3.0683 | 2.3864 |\n| AdditiveModel | 1.3194 | 2.1294 | 2.0707 |\n| PopularityModel | 1.3215 | 2.1768 | 2.1428 |","| PerformanceModel | 0.0782 | 0.0783 | 0.0626 |\n| --- | --- | --- | --- |\n| AdditiveModel | 0.0402 | 0.0478 | 0.0420 |\n| PopularityModel | 0.0400 | 0.0465 | 0.0409 |\n| FullRegression | 0.0527 | 0.0569 | 0.0480 |\n| PerformanceRegression | 0.0782 | 0.0783 | 0.0625 |",0]
["| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |\n| --- | --- | --- | --- |\n| LIVEChallenge | N.A. | 1,162 | Numerous |","| LIVEIQA | 29 | 779 | 5 |\n| --- | --- | --- | --- |\n| CSIQ | 30 | 866 | 6 |\n| TID2013 | 25 | 3,000 | 24 |",1]
["| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |\n| --- | --- | --- | --- |\n| LIVEChallenge | N.A. | 1,162 | Numerous |","| Dataset | Numberoffeatures | Numberofinstances | Numberofclasses |\n| --- | --- | --- | --- |\n| connect-4 | 42 | 67,557 | 3 |\n| splice | 60 | 3,175 | 3 |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |\n| --- | --- | --- | --- |\n| LIVEChallenge | N.A. | 1,162 | Numerous |\n| LIVEIQA | 29 | 779 | 5 |","| CSIQ | 30 | 866 | 6 |\n| --- | --- | --- | --- |\n| TID2013 | 25 | 3,000 | 24 |",1]
["| Databases | Referenceimagenumber | Distortedimagenumber | distortiontypes |\n| --- | --- | --- | --- |\n| LIVEChallenge | N.A. | 1,162 | Numerous |\n| LIVEIQA | 29 | 779 | 5 |","| splice | 60 | 3,175 | 3 |\n| --- | --- | --- | --- |\n| waveform | 40 | 5,000 | 3 |\n| landsat | 36 | 6,435 | 6 |\n| lung | 325 | 73 | 7 |\n| lymph | 4,026 | 96 | 9 |\n| NCI9 | 9,712 | 60 | 9 |",0]
["| cluster | description |\n| --- | --- |\n| C1 | rightﬁelder,rightwing,rightback |\n| C2 | centralforward |\n| C3 | centralmidﬁelder,internalmidﬁelder |","| C4 | leftﬁelder,leftwing,leftback |\n| --- | --- |\n| C5 | leftback,leftcentralback |\n| C6 | rightwing,rightforward |\n| C7 | rightback |\n| C8 | leftwing,leftforward |",1]
["| cluster | description |\n| --- | --- |\n| C1 | rightﬁelder,rightwing,rightback |\n| C2 | centralforward |\n| C3 | centralmidﬁelder,internalmidﬁelder |","| Word | Cluster |\n| --- | --- |\n| w,w,w,w43105 | C1 |\n| w9 | C2 |\n| w,w,w162 | C3 |\n| w,w87 | C4 |",0]
["| cluster | description |\n| --- | --- |\n| C1 | rightﬁelder,rightwing,rightback |","| C2 | centralforward |\n| --- | --- |\n| C3 | centralmidﬁelder,internalmidﬁelder |\n| C4 | leftﬁelder,leftwing,leftback |\n| C5 | leftback,leftcentralback |\n| C6 | rightwing,rightforward |\n| C7 | rightback |\n| C8 | leftwing,leftforward |",1]
["| cluster | description |\n| --- | --- |\n| C1 | rightﬁelder,rightwing,rightback |","| w,w,w162 | C3 |\n| --- | --- |\n| w,w87 | C4 |",0]
["| Length | Model | BLEU | Time(s) |\n| --- | --- | --- | --- |\n| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |\n| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |","| 100 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 73.99<br>87.42<br>99.81<br>99.97<br>99.99<br>100.00<br>100.00 | 6.33<br>7.32<br>7.47<br>7.50<br>7.65<br>7.77<br>11.00 |\n| --- | --- | --- | --- |\n| 200 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 32.64<br>44.22<br>98.54<br>99.98<br>100.00<br>100.00<br>100.00 | 9.10<br>9.30<br>9.49<br>9.53<br>9.59<br>9.78<br>14.28 |",1]
["| Length | Model | BLEU | Time(s) |\n| --- | --- | --- | --- |\n| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |\n| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |","| CountOnce | MultiCount |  |\n| --- | --- | --- |\n| TimetoRecall | FP-90FP-95FP-99 | FP-90FP-95FP-99 |\n| 30 | 1.73T1.36T0.44T<br>1.36T0.9T0.23T<br>1.08T0.65T0.15T<br>0.88T0.5T0.11T<br>0.72T0.4T0.08T<br>0.62T0.34T0.07T | 10T5T0.99T<br>4.69T2.34T0.46T<br>3.06T1.52T0.3T<br>2.31T1.15T0.23T<br>1.89T0.94T0.18T<br>1.43T0.71T0.14T |\n| 60 |  |  |\n| 90 |  |  |\n| 120 |  |  |\n| 150 |  |  |\n| 180 |  |  |",0]
["| Length | Model | BLEU | Time(s) |\n| --- | --- | --- | --- |\n| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |\n| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |","| 100 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 73.99<br>87.42<br>99.81<br>99.97<br>99.99<br>100.00<br>100.00 | 6.33<br>7.32<br>7.47<br>7.50<br>7.65<br>7.77<br>11.00 |\n| --- | --- | --- | --- |\n| 200 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 32.64<br>44.22<br>98.54<br>99.98<br>100.00<br>100.00<br>100.00 | 9.10<br>9.30<br>9.49<br>9.53<br>9.59<br>9.78<br>14.28 |",1]
["| Length | Model | BLEU | Time(s) |\n| --- | --- | --- | --- |\n| 20 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 99.93<br>99.52<br>99.56<br>99.56<br>99.57<br>99.75<br>99.98 | 2.03<br>2.12<br>2.25<br>2.21<br>2.59<br>2.86<br>2.86 |\n| 50 | NoAtt<br>K=1<br>K=4<br>K=16<br>K=32<br>K=64<br>Att | 97.37<br>98.86<br>99.95<br>99.96<br>99.96<br>99.97<br>99.94 | 3.90<br>4.33<br>4.48<br>4.58<br>5.35<br>5.84<br>6.46 |","| 150 |\n| --- |\n| 180 |",0]
["| CIFAR10 | MNIST | NUS-WIDE |\n| --- | --- | --- |\n|  |  |  |\n| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |\n| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |\n| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |","| 0.4960.5800.5820.583 | 0.9250.9550.9640.965 | 0.5360.5220.5330.531 |\n| --- | --- | --- |\n| 0.3630.5280.5290.542 | 0.5420.9380.9430.944 | 0.5200.5070.5910.610 |\n| 0.2680.2820.2990.318 | 0.4930.5170.5260.559 | 0.5820.5940.6120.607 |\n| 0.2190.2280.2390.247 | 0.4070.4780.4870.506 | 0.5820.5810.5830.588 |\n| 0.1690.1610.1610.159 | 0.3010.3040.2960.287 | 0.4860.4620.4550.448 |\n| 0.1320.1240.1440.157 | 0.1760.1910.2200.305 | 0.4320.4510.4640.466 |\n| 0.2550.3300.3440.360 | 0.5260.9150.9210.926 | 0.4140.4650.4510.454 |\n| 0.2090.2270.2370.244 | 0.4550.4940.5130.526 | 0.4150.4200.4310.440 |\n| 0.1580.1630.1680.169 | 0.4040.4420.4470.460 | 0.4280.4290.4300.431 |\n| 0.1240.1250.1250.126 | 0.2900.2780.2600.254 | 0.3900.3910.3890.390 |\n| 0.1160.1210.1240.131 | 0.1620.2360.2220.276 | 0.4040.3840.3940.400 |",1]
["| CIFAR10 | MNIST | NUS-WIDE |\n| --- | --- | --- |\n|  |  |  |\n| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |\n| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |\n| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |","| N | fnorm1 | f | ftwo | fone |\n| --- | --- | --- | --- | --- |\n| 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 |\n| 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 |\n| 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 |\n| 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 |\n| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["| CIFAR10 | MNIST | NUS-WIDE |\n| --- | --- | --- |\n|  |  |  |\n| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |\n| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |\n| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |\n| 0.4960.5800.5820.583 | 0.9250.9550.9640.965 | 0.5360.5220.5330.531 |\n| 0.3630.5280.5290.542 | 0.5420.9380.9430.944 | 0.5200.5070.5910.610 |","| 0.2680.2820.2990.318 | 0.4930.5170.5260.559 | 0.5820.5940.6120.607 |\n| --- | --- | --- |\n| 0.2190.2280.2390.247 | 0.4070.4780.4870.506 | 0.5820.5810.5830.588 |\n| 0.1690.1610.1610.159 | 0.3010.3040.2960.287 | 0.4860.4620.4550.448 |\n| 0.1320.1240.1440.157 | 0.1760.1910.2200.305 | 0.4320.4510.4640.466 |\n| 0.2550.3300.3440.360 | 0.5260.9150.9210.926 | 0.4140.4650.4510.454 |\n| 0.2090.2270.2370.244 | 0.4550.4940.5130.526 | 0.4150.4200.4310.440 |\n| 0.1580.1630.1680.169 | 0.4040.4420.4470.460 | 0.4280.4290.4300.431 |\n| 0.1240.1250.1250.126 | 0.2900.2780.2600.254 | 0.3900.3910.3890.390 |\n| 0.1160.1210.1240.131 | 0.1620.2360.2220.276 | 0.4040.3840.3940.400 |",1]
["| CIFAR10 | MNIST | NUS-WIDE |\n| --- | --- | --- |\n|  |  |  |\n| 0.8010.8130.8120.814 | 0.9750.9820.9820.982 | 0.7070.7250.7310.735 |\n| 0.7210.7330.7260.747 | 0.9510.9530.9550.966 | 0.6400.6500.6550.635 |\n| 0.6000.6960.6890.702 | 0.9310.9490.9580.959 | 0.5970.6270.6470.651 |\n| 0.4960.5800.5820.583 | 0.9250.9550.9640.965 | 0.5360.5220.5330.531 |\n| 0.3630.5280.5290.542 | 0.5420.9380.9430.944 | 0.5200.5070.5910.610 |","| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 |\n| --- | --- | --- | --- | --- |\n| 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |",0]
["| Command | Executiontime | Remarks |\n| --- | --- | --- |\n| gping | 6secs |  |\n| gsub | 42secs |  |\n| gsub-p | 26secs |  |","| gsub-s | 5secs |  |\n| --- | --- | --- |\n| qsub-unm | 11secs |  |\n| gsub-data | 17secs | including<br>looking<br>atthecatalog |",1]
["| Command | Executiontime | Remarks |\n| --- | --- | --- |\n| gping | 6secs |  |\n| gsub | 42secs |  |\n| gsub-p | 26secs |  |","| Num.of<br>processes | Launch<br>time(s) |\n| --- | --- |\n| 1K | 0.3-7.5 |\n| 2K | 0.8-10.5 |\n| 4K | 3.2-86.7 |\n| 8K | 29.2-87.9 |\n| 16K | 99.3-120.8 |\n| 16K(*) | 15.2-21.6 |",0]
["| Command | Executiontime | Remarks |\n| --- | --- | --- |\n| gping | 6secs |  |\n| gsub | 42secs |  |","| gsub-p | 26secs |  |\n| --- | --- | --- |\n| gsub-s | 5secs |  |\n| qsub-unm | 11secs |  |\n| gsub-data | 17secs | including<br>looking<br>atthecatalog |",1]
["| Command | Executiontime | Remarks |\n| --- | --- | --- |\n| gping | 6secs |  |\n| gsub | 42secs |  |","| 2K | 0.8-10.5 |\n| --- | --- |\n| 4K | 3.2-86.7 |\n| 8K | 29.2-87.9 |\n| 16K | 99.3-120.8 |\n| 16K(*) | 15.2-21.6 |",0]
["| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | 5endmembers | 8endmembers |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1893 | 1 | 0.1243 | 1 |\n| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |\n| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |\n| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |","| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |\n| --- | --- | --- | --- | --- |\n|  | GBM |  |  |  |\n| FCLS | 0.2419 | 1 | 0.1836 | 1 |\n| SK-Hype | 0.1080 | 3320.7 | 0.0738 | 3072.6 |\n| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |\n| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |\n| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |",1]
["| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | 5endmembers | 8endmembers |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1893 | 1 | 0.1243 | 1 |\n| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |\n| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |\n| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |","| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| 5Endmembers | 8Endmembers |  |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1966 | 1 | 0.1521 | 1 |\n| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |\n| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |\n| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |\n| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |\n|  | GBM |  |  |  |\n|  | 5Endmembers | 8Endmembers |  |  |\n| FCLS | 0.0527 | 1 | 0.0390 | 1 |\n| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |\n| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |\n| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | 5endmembers | 8endmembers |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1893 | 1 | 0.1243 | 1 |\n| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |\n| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |\n| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |\n| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |","|  | GBM |  |  |  |\n| --- | --- | --- | --- | --- |\n| FCLS | 0.2419 | 1 | 0.1836 | 1 |\n| SK-Hype | 0.1080 | 3320.7 | 0.0738 | 3072.6 |\n| SK-Hype(10) | 0.1037 | 24.1(26.9) | 0.0712 | 18.7(21.1) |\n| SK-Hype(100) | 0.1095 | 157.0(194.6) | 0.0741 | 119.7(148.1) |\n| SK-Hype(300) | 0.1083 | 1548.6(1676.0) | 0.0738 | 1475.2(1597.7) |",1]
["| PNMM |  |  |  |  |\n| --- | --- | --- | --- | --- |\n|  | 5endmembers | 8endmembers |  |  |\n| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |\n| FCLS | 0.1893 | 1 | 0.1243 | 1 |\n| SK-Hype | 0.1136 | 2690.6 | 0.0762 | 3028.8 |\n| SK-Hype(10) | 0.1114 | 16.0(18.1) | 0.0775 | 16.8(18.7) |\n| SK-Hype(100) | 0.1150 | 107.7(129.1) | 0.0766 | 118.6(144.8) |\n| SK-Hype(300) | 0.1139 | 1226.7(1327.1) | 0.0763 | 1331.5(1452.7) |","| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |\n| --- | --- | --- | --- | --- |\n| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) |",0]
["| Method | Downtown | Parkway |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | ARA | MAE | ARA |  |\n| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |\n| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |","| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |\n| --- | --- | --- | --- | --- |\n| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |",1]
["| Method | Downtown | Parkway |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | ARA | MAE | ARA |  |\n| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |\n| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |","| Method | MAE | ARA |\n| --- | --- | --- |\n| Baseline1 | 13.76 | 0.6412 |\n| Baseline2-CCNN | 12.49 | 0.6743 |\n| Baseline2-Hydra | 10.99 | 0.7129 |\n| OPT-RC | 12.41 | 0.6674 |\n| FCN-ST | 5.47 | 0.827 |\n| FCN-MT | 5.31 | 0.856 |",0]
["| Method | Downtown | Parkway |  |\n| --- | --- | --- | --- |\n| MAE | ARA | MAE | ARA |","| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |\n| --- | --- | --- | --- | --- |\n| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |\n| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |\n| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |",1]
["| Method | Downtown | Parkway |  |\n| --- | --- | --- | --- |\n| MAE | ARA | MAE | ARA |","| Baseline2-Hydra | 10.99 | 0.7129 |\n| --- | --- | --- |\n| OPT-RC | 12.41 | 0.6674 |\n| FCN-ST | 5.47 | 0.827 |\n| FCN-MT | 5.31 | 0.856 |",0]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |","| δ-Greedy | 1.1 | 35.6 | 10 | 17 | 254 |\n| --- | --- | --- | --- | --- | --- |\n| δ-Greedy | 1.0896 | 37.8 | 12 | 18 | 242 |\n| δ-Greedy | 1.048 | 51.6 | 19 | 23 | 204 |\n| θ-Graph | - | 376.6 | 454 | 149 | - |\n| Greedyonθ-Graph | 1.0896 | 37.8 | 12 | 18 | 3005 |\n| Greedyonθ-Graph | 1.048 | 52 | 19 | 23 | 693 |\n| Gap-Greedy | - | 51.6 | 19 | 23 | 326 |",1]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |","| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 15.1 | 3 | 7 | 31996 |\n| δ-Greedy | 1.5 | 15.1 | 3 | 7 | 82 |\n| δ-Greedy | 1.44 | 16 | 3 | 8 | 77 |\n| δ-Greedy | 1.224 | 22.5 | 5 | 11 | 63 |\n| θ-Graph | - | 118.6 | 76 | 53 | - |\n| Greedyonθ-Graph | 1.44 | 16 | 3 | 8 | 817 |\n| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |\n| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |",0]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |\n| δ-Greedy | 1.1 | 35.6 | 10 | 17 | 254 |\n| δ-Greedy | 1.0896 | 37.8 | 12 | 18 | 242 |\n| δ-Greedy | 1.048 | 51.6 | 19 | 23 | 204 |\n| θ-Graph | - | 376.6 | 454 | 149 | - |","| Greedyonθ-Graph | 1.0896 | 37.8 | 12 | 18 | 3005 |\n| --- | --- | --- | --- | --- | --- |\n| Greedyonθ-Graph | 1.048 | 52 | 19 | 23 | 693 |\n| Gap-Greedy | - | 51.6 | 19 | 23 | 326 |",1]
["| Algorithm | δ | Edges(inK) | Weight<br>wt(MST) | Degree | Shortestpath<br>queries(inK) |\n| --- | --- | --- | --- | --- | --- |\n| Path-Greedy | - | 35.6 | 10 | 17 | 31996 |\n| δ-Greedy | 1.1 | 35.6 | 10 | 17 | 254 |\n| δ-Greedy | 1.0896 | 37.8 | 12 | 18 | 242 |\n| δ-Greedy | 1.048 | 51.6 | 19 | 23 | 204 |\n| θ-Graph | - | 376.6 | 454 | 149 | - |","| θ-Graph | - | 118.6 | 76 | 53 | - |\n| --- | --- | --- | --- | --- | --- |\n| Greedyonθ-Graph | 1.44 | 16 | 3 | 8 | 817 |\n| Greedyonθ-Graph | 1.224 | 22.5 | 6 | 11 | 198 |\n| Gap-Greedy | - | 22.6 | 5 | 11 | 95 |",0]
["| ∆T | δ=1 | δ=2 | δ=3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |  |\n| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |","| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 |",1]
["| ∆T | δ=1 | δ=2 | δ=3 |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |  |\n| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |","| ∆t | BaselineI | BaselineII | BaselineIII |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |  |\n| 3 | 0.793(0.003) | 0.654(0.019) | 0.856(0.021) | 0.724(0.001) | 0.895(0.012) | 0.769(0.017) |\n| 5 | 0.745(0.021) | 0.644(0.006) | 0.792(0.007) | 0.699(0.012) | 0.814(0.019) | 0.788(0.001) |\n| 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.690(0.026) |\n| 9 | 0.543(0.008) | 0.588(0.015) | 0.646(0.009) | 0.639(0.002) | 0.684(0.002) | 0.643(0.001) |\n| 11 | 0.591(0.015) | 0.544(0.002) | 0.633(0.010) | 0.542(0.006) | 0.675(0.008) | 0.582(0.021) |",0]
["| ∆T | δ=1 | δ=2 | δ=3 |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |","| 5 | 0.882 | 0.68 | 0.915 | 0.82 | 0.911 | 0.76 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 7 | 0.841 | 0.61 | 0.877 | 0.77 | 0.884 | 0.72 |\n| 9 | 0.765 | 0.58 | 0.819 | 0.69 | 0.822 | 0.64 |",1]
["| ∆T | δ=1 | δ=2 | δ=3 |  |  |\n| --- | --- | --- | --- | --- | --- |\n| ρ | R | ρ | R | ρ | R |","| 7 | 0.691(0.016) | 0.593(0.003) | 0.752(0.004) | 0.688(0.019) | 0.754(0.023) | 0.690(0.026) |\n| --- | --- | --- | --- | --- | --- | --- |\n| 9 | 0.543(0.008) | 0.588(0.015) | 0.646(0.009) | 0.639(0.002) | 0.684(0.002) | 0.643(0.001) |\n| 11 | 0.591(0.015) | 0.544(0.002) | 0.633(0.010) | 0.542(0.006) | 0.675(0.008) | 0.582(0.021) |",0]
["| Dataset | LRE | BME | SMCE | LRNE |\n| --- | --- | --- | --- | --- |\n| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |","| SimulatedDataset-3Ternary | 41.25 | 7.09 | 11.13 | 6.23 |\n| --- | --- | --- | --- | --- |\n| RealParticulateMixture | 39.96 | 1.19 | 10.82 | 0.97 |\n| HyperspectralTileTarget | 46.68 | 41.72 | 42.12 | 40.86 |",1]
["| Dataset | LRE | BME | SMCE | LRNE |\n| --- | --- | --- | --- | --- |\n| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |","| Datasets |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| AIDAtestA | AIDAtestB |  |  |  |\n| Systems | R@MI | R@MA | R@MI | R@MA |\n| LocalMention | 69.73 | 69.30 | 67.98 | 72.75 |\n| Unnorm | 69.77 | 69.95 | 75.87 | 75.12 |\n| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |\n| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |\n| PBoH | 85.53 | 85.09 | 87.51 | 86.39 |",0]
["| Dataset | LRE | BME | SMCE | LRNE |\n| --- | --- | --- | --- | --- |\n| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |","| SimulatedDataset-3Ternary | 41.25 | 7.09 | 11.13 | 6.23 |\n| --- | --- | --- | --- | --- |\n| RealParticulateMixture | 39.96 | 1.19 | 10.82 | 0.97 |\n| HyperspectralTileTarget | 46.68 | 41.72 | 42.12 | 40.86 |",1]
["| Dataset | LRE | BME | SMCE | LRNE |\n| --- | --- | --- | --- | --- |\n| SimulatedDataset-2Ternary | 42.81 | 5.13 | 14.56 | 2.49 |","| Rescaled | 75.09 | 74.25 | 74.76 | 78.28 |\n| --- | --- | --- | --- | --- |\n| LocalContext | 82.50 | 81.56 | 85.46 | 84.08 |\n| PBoH | 85.53 | 85.09 | 87.51 | 86.39 |",0]
["|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |","| Heart | 45 | 45 | 48 | 50 | 43 |\n| --- | --- | --- | --- | --- | --- |\n| Liver | 109 | 110 | 114 | 105 | 105 |\n| Pima | 172 | 172 | 184 | 176 | 171 |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",1]
["|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |","| Dataset | BBLR | SVM | KBBLR |\n| --- | --- | --- | --- |\n| Breast | 2.82 | 3.26 | 2.98 |\n| Heart | 17.08 | 17.76 | 16.27 |\n| Liver | 31.80 | 29.61 | 26.91 |\n| Pima | 21.57 | 22.44 | 22.9 |",0]
["|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |\n| Heart | 45 | 45 | 48 | 50 | 43 |\n| Liver | 109 | 110 | 114 | 105 | 105 |","| Pima | 172 | 172 | 184 | 176 | 171 |\n| --- | --- | --- | --- | --- | --- |\n| TotalL01 | 348 | 348 | 368 | 354 | 340 |",1]
["|  | LR | SVM | SLA | BBLR | BBLR |\n| --- | --- | --- | --- | --- | --- |\n| Breast | 22 | 21 | 23 | 22 | 21 |\n| Heart | 45 | 45 | 48 | 50 | 43 |\n| Liver | 109 | 110 | 114 | 105 | 105 |","| Heart | 17.08 | 17.76 | 16.27 |\n| --- | --- | --- | --- |\n| Liver | 31.80 | 29.61 | 26.91 |\n| Pima | 21.57 | 22.44 | 22.9 |",0]
["| Segmentation-Breakfast |  |\n| --- | --- |\n| GMMs | 163264128256 |\n| Grammar(MoC) | 36.236.938.134.032.7 |\n| HMMs(MoC) | 18.719.219.816.515.9 |","| Grammar(MoF) | 54.254.456.351.950.7 |\n| --- | --- |\n| HMMs(MoF) | 24.224.926.520.820.5 |",1]
["| Segmentation-Breakfast |  |\n| --- | --- |\n| GMMs | 163264128256 |\n| Grammar(MoC) | 36.236.938.134.032.7 |\n| HMMs(MoC) | 18.719.219.816.515.9 |","| corpus:low,MRC:high |  |  |  |  |\n| --- | --- | --- | --- | --- |\n| WSJ | Wikipedia-E | Web-E | BNC | MICASE |\n| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |\n| corpus:high,MRC:low |  |  |  |  |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",0]
["| Segmentation-Breakfast |  |\n| --- | --- |\n| GMMs | 163264128256 |","| Grammar(MoC) | 36.236.938.134.032.7 |\n| --- | --- |\n| HMMs(MoC) | 18.719.219.816.515.9 |\n| Grammar(MoF) | 54.254.456.351.950.7 |\n| HMMs(MoF) | 24.224.926.520.820.5 |",1]
["| Segmentation-Breakfast |  |\n| --- | --- |\n| GMMs | 163264128256 |","| pencil<br>noisy<br>oven<br>happiness | mileage<br>towel<br>thoughtful<br>bra | doughnut<br>coke<br>steady<br>hunger | sock<br>nickel<br>boring<br>shrimp | bedroom<br>thirsty<br>spoon<br>sunshine |\n| --- | --- | --- | --- | --- |\n| corpus:high,MRC:low |  |  |  |  |\n| lire<br>southland<br>gore<br>charter | sonata<br>hank<br>aurora<br>belle | dell<br>portal<br>fort<br>enterprise | essence<br>lorry<br>debut<br>rover | hypothesis<br>velocity<br>precipitate<br>mass |",0]
["| Test | 1 | 2 | 3 |\n| --- | --- | --- | --- |\n| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |\n| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |","| RMSError(Step21-40) | 0.0042 | 0.0075 | 0.0194 |\n| --- | --- | --- | --- |\n| RMSError(Step41-60) | 0.0033 | 0.0069 | 0.0150 |\n| RMSError(Step61-80) | 0.0031 | 0.0062 | 0.0121 |\n| RMSError(Step81-100) | 0.0024 | 0.0052 | 0.0101 |",1]
["| Test | 1 | 2 | 3 |\n| --- | --- | --- | --- |\n| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |\n| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |","| Area(I) | Area(II) | Area(III) |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- |\n| RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |\n| 0.855 | 0.671 | - | - | - | - | - |\n| 0.839 | 0.651 | - | - | - | - | - |\n| 0.906 | 0.722 | 0.976 | 0.781 | - | - | - |\n| 0.841 | 0.662 | - | - | 0.856 | 0.670 | - |\n| 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |\n| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 |",0]
["| Test | 1 | 2 | 3 |\n| --- | --- | --- | --- |\n| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |\n| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |","| RMSError(Step21-40) | 0.0042 | 0.0075 | 0.0194 |\n| --- | --- | --- | --- |\n| RMSError(Step41-60) | 0.0033 | 0.0069 | 0.0150 |\n| RMSError(Step61-80) | 0.0031 | 0.0062 | 0.0121 |\n| RMSError(Step81-100) | 0.0024 | 0.0052 | 0.0101 |",1]
["| Test | 1 | 2 | 3 |\n| --- | --- | --- | --- |\n| RMSError(All) | 0.0052 | 0.0069 | 0.0169 |\n| RMSError(Step1-20) | 0.0064 | 0.0082 | 0.0240 |","| 0.889 | 0.702 | 0.969 | 0.765 | - | - | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.850 | 0.675 | 0.883 | 0.699 | 0.864 | 0.685 | 0.904 |",0]
["| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h1=∆X,h2=∆Y,Depth=26.66 |  |  |  |  |  |  |  |\n| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |","| h1=Manhattandistance,h2=7-8PDB,Depth52.52 |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 43,741<br>43,804<br>43,743<br>43,813 | 0<br>30,136<br>0<br>7,669 | 0<br>1,285<br>0<br>1,278 | 0<br>0<br>42,679<br>42,271 | 0<br>0<br>47<br>21 | 0<br>0<br>1,017<br>243 | 34.7<br>33.6<br>34.2<br>33.3 |",1]
["| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h1=∆X,h2=∆Y,Depth=26.66 |  |  |  |  |  |  |  |\n| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |","|  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| frb30-15-1 | t<br>c<br>r<br>n | 22,3<br>16,5M<br>105626<br>3863 | 20,9<br>11,1M<br>70924<br>3858 | 29,3<br>16,4M<br>102724<br>4138 | 14,1<br>7,5M<br>46727<br>2499 |\n| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h1=∆X,h2=∆Y,Depth=26.66 |  |  |  |  |  |  |  |\n| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |","| h1=Manhattandistance,h2=7-8PDB,Depth52.52 |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 43,741<br>43,804<br>43,743<br>43,813 | 0<br>30,136<br>0<br>7,669 | 0<br>1,285<br>0<br>1,278 | 0<br>0<br>42,679<br>42,271 | 0<br>0<br>47<br>21 | 0<br>0<br>1,017<br>243 | 34.7<br>33.6<br>34.2<br>33.3 |",1]
["| Alg. | Generated | HBP1 | HBP2 | OB | Bad | Good | time |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| h1=∆X,h2=∆Y,Depth=26.66 |  |  |  |  |  |  |  |\n| A*<br>A*+HBP<br>LA*<br>LA*+HBP | 1,085,156<br>1,085,156<br>1,085,157<br>1,085,157 | 0<br>216,689<br>0<br>140,746 | 0<br>346,335<br>0<br>342,178 | 0<br>0<br>734,713<br>589,893 | 0<br>0<br>37,750<br>37,725 | 0<br>0<br>312,694<br>115,361 | 415<br>417<br>417<br>416 |","| frb30-15-2 | t<br>c<br>r<br>n | 84,9<br>45,7M<br>311040<br>15457 | 29,7<br>21,8M<br>149119<br>7935 | 118,9<br>90M<br>624360<br>25148 | 95<br>68,9M<br>472124<br>24467 |\n| --- | --- | --- | --- | --- | --- |\n| frb35-17-1 | t<br>c<br>r<br>n | 125,8<br>93,9M<br>533694<br>18587 | 193,7<br>144M<br>836462<br>40698 | 118<br>89,7M<br>514258<br>19167 | 250,9<br>180,9M<br>1,03M<br>50611 |\n| rand-2-30-15 | t<br>c<br>r<br>n | 1240<br>114,5M<br>922251<br>28725 | 74,4<br>53M<br>443792<br>19846 | 98<br>72,5M<br>602582<br>20192 | 108,1<br>78,1M<br>642665<br>28766 |\n| geo50-20-d4-75-2 | t<br>c<br>r<br>n | 226,1<br>191,8M<br>778758<br>20069 | 401,8<br>310,3M<br>1,3M<br>60182 | 34,8<br>28,2M<br>117241<br>3735 | 39,5<br>28,8M<br>124163<br>5484 |",0]
["| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |\n| --- | --- | --- | --- | --- | --- | --- |\n| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |\n| SPoC | 256 | 53.1 | 50.1 | - | - | - |\n| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |","| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |\n| Ngetal | 128 | 59.3 | - | - | 59.0 | - |\n| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |\n| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |\n| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |",1]
["| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |\n| --- | --- | --- | --- | --- | --- | --- |\n| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |\n| SPoC | 256 | 53.1 | 50.1 | - | - | - |\n| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |","| Method | Size | Oxf5k | Oxf105k | Paris6k |\n| --- | --- | --- | --- | --- |\n| TEmb | 1024 | 56.0 | 50.2 | - |\n| NetVLAD | 4096 | 71.6 | - | 79.7 |\n| MAC | 512 | 58.3 | 49.2 | 72.6 |\n| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |\n| --- | --- | --- | --- | --- | --- | --- |\n| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |\n| SPoC | 256 | 53.1 | 50.1 | - | - | - |\n| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |","| NetVLAD | 256 | 63.5 | - | - | 73.5 | - |\n| --- | --- | --- | --- | --- | --- | --- |\n| CroW | 256 | 65.4 | 59.3 | - | 77.9 | - |\n| Ngetal | 128 | 59.3 | - | - | 59.0 | - |\n| MAC* | 128 | 76.8 | 70.8 | 60.1 | 78.8 | 62.5 |\n| SUMPool | 128 | 72.6 | 67.7 | 57.9 | 78.4 | 62.4 |\n| SIAM-FV | 128 | 77.3 | 71.8 | 62.5 | 78.9 | 63.2 |",1]
["| Method | Size | Oxf5k | Oxf105k | Oxf1M | Paris6k | Paris1M |\n| --- | --- | --- | --- | --- | --- | --- |\n| Max-pooling | 256 | 53.3 | - | - | 67.0 | - |\n| SPoC | 256 | 53.1 | 50.1 | - | - | - |\n| MAC | 256 | 56.9 | 47.8 | - | 72.4 | - |","| R-MAC | 512 | 66.9 | 61.6 | 83.0 |\n| --- | --- | --- | --- | --- |\n| CroW | 512 | 68.2 | 63.2 | 79.7 |\n| MAC* | 512 | 80.0 | 75.1 | 82.9 |\n| SUMPool | 512 | 79.5 | 75.0 | 81.3 |\n| SIAM-FV | 512 | 81.5 | 76.6 | 82.4 |",0]
["| p | tree | RRGnumerics |\n| --- | --- | --- |\n| 0.5 | 4.16 | 4.36±0.03 |\n| 0.45 | 4.22 | 4.45±0.05 |\n| 0.4 | 4.53 | 4.75±0.05 |","| 0.35 | 5.13 | 5.30±0.05 |\n| --- | --- | --- |\n| 0.3 | 6.16 | 6.28±0.05 |",1]
["| p | tree | RRGnumerics |\n| --- | --- | --- |\n| 0.5 | 4.16 | 4.36±0.03 |\n| 0.45 | 4.22 | 4.45±0.05 |\n| 0.4 | 4.53 | 4.75±0.05 |","|  | Nodes | Leaves | Levels |\n| --- | --- | --- | --- |\n| IGTree | 865 | 433 | 33 |\n| BS-tree | 719 | 360 | 86 |\n| C4.5 | 339 | 170 | 26 |\n| BD-tree | 451 | 226 | 52 |\n| SE-tree | 559 | 209 | 8 |",0]
["| p | tree | RRGnumerics |\n| --- | --- | --- |\n| 0.5 | 4.16 | 4.36±0.03 |\n| 0.45 | 4.22 | 4.45±0.05 |","| 0.4 | 4.53 | 4.75±0.05 |\n| --- | --- | --- |\n| 0.35 | 5.13 | 5.30±0.05 |\n| 0.3 | 6.16 | 6.28±0.05 |",1]
["| p | tree | RRGnumerics |\n| --- | --- | --- |\n| 0.5 | 4.16 | 4.36±0.03 |\n| 0.45 | 4.22 | 4.45±0.05 |","| BS-tree | 719 | 360 | 86 |\n| --- | --- | --- | --- |\n| C4.5 | 339 | 170 | 26 |\n| BD-tree | 451 | 226 | 52 |\n| SE-tree | 559 | 209 | 8 |",0]
["| n | f | f | f | f | f | f |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |\n| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |\n| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |\n| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |","| 500 | N/A | −0.9401 | −0.9606 | −0.9606 | −0.9777 | −0.9777 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1000 | N/A | −0.9435 | −0.9630 | −0.9630 | −0.9781 | −0.9781 |",1]
["| n | f | f | f | f | f | f |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |\n| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |\n| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |\n| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |","| n | D(n) | D(n)f | D(n)/D(n)f |\n| --- | --- | --- | --- |\n| 4 | 7 | 6 | 0.857143 |\n| 5 | 20 | 18 | 0.900000 |\n| 6 | 71 | 63 | 0.887324 |\n| 7 | 240 | 216 | 0.900000 |\n| 8 | 871 | 783 | 0.898967 |\n| 9 | 3148 | 2843 | 0.903113 |\n| 10 | 11655 | 10535 | 0.903904 |\n| 11 | 43332 | 39232 | 0.905382 |\n| 12 | 162769 | 147457 | 0.905928 |\n| 13 | 614198 | 556859 | 0.906644 |\n| 14 | 2330537 | 2113982 | 0.907079 |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",0]
["| n | f | f | f | f | f | f |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |\n| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |","| 70 | −0.8415 | −0.9212 | −0.9471 | −0.9471 | −0.9747 | −0.9747 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 100 | N/A | −0.9268 | −0.9509 | −0.9509 | −0.9755 | −0.9755 |\n| 500 | N/A | −0.9401 | −0.9606 | −0.9606 | −0.9777 | −0.9777 |\n| 1000 | N/A | −0.9435 | −0.9630 | −0.9630 | −0.9781 | −0.9781 |",1]
["| n | f | f | f | f | f | f |\n| --- | --- | --- | --- | --- | --- | --- |\n| 50 | −0.8357 | −0.9162 | −0.9434 | −0.9434 | −0.9736 | −0.9736 |\n| 60 | −0.8421 | −0.9202 | −0.9459 | −0.9459 | −0.9740 | −0.9740 |","| 11 | 43332 | 39232 | 0.905382 |\n| --- | --- | --- | --- |\n| 12 | 162769 | 147457 | 0.905928 |\n| 13 | 614198 | 556859 | 0.906644 |\n| 14 | 2330537 | 2113982 | 0.907079 |\n| 15 | 8875768 | 8054923 | 0.907518 |\n| 16 | 33924859 | 30799063 | 0.907861 |\n| 17 | 130038230 | 118098443 | 0.908182 |\n| 18 | 499753855 | 454006818 | 0.908461 |\n| 19 | 1924912894 | 1749201100 | 0.908717 |\n| 20 | 7429160296 | 6752721263 | 0.908948 |\n| 21 | 28723877732 | 26114628694 | 0.909161 |\n| 22 | 111236423288 | 101153550972 | 0.909356 |\n| 23 | 431403470222 | 392377497401 | 0.909537 |\n| 24 | 1675316535350 | 1524043284254 | 0.909705 |\n| 25 | 6513837679610 | 5926683351876 | 0.909860 |\n| 26 | 25354842100894 | 23073049582134 | 0.910006 |",0]
["| Rule(C→Q) | Caption |\n| --- | --- |\n| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |","| sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |\n| --- | --- |\n| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |\n| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. |",1]
["| Rule(C→Q) | Caption |\n| --- | --- |\n| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |","| T5<br>Starting<br>Vacancy | Oddsofﬁnishingataonepegposition<br>PlayerAPlayerBPlayerC<br>(anyjump)(ruleofthumb)(followsSAXcount) |  |  |\n| --- | --- | --- | --- |\n| a1 | 1in146 | 1in47 | 1in7 |\n| b3 | 1in579 | 1in142 | 1in19 |\n| a4 | 1in291 | 1in47 | 1in7 |\n| c5 | 1in141 | 1in13 | 1in7 |",0]
["| Rule(C→Q) | Caption |\n| --- | --- |\n| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |","| sameasaboveexceptreplace(NP1,randomNP)or,<br>replace(VB,randomVB) | Peopleareplayingbaseball.<br>Peopleareplayingbaseball. |\n| --- | --- |\n| EX+is/are+num+NP→Howmany+NP+is/are+EX?<br>num+NP+VB→replace(num,howmany) | Therearetwocats.<br>Sixcarsareparked. |\n| NP1(+MD)+VB→WP(+MD)+VB?or,<br>→WP+MD/conjug(“do/be”,tense(VB))+NP+“do/doing”)?<br>obj/property+VB(+NP)→WP/WDT+category+VP(+NP)<br>NP1+VB(+NP2)+IN+NP3<br>→WRB+conjug(“do/be”,tense(VB))+NP1+conjug(VB,tense(VB))? | Aboyisrunning.<br>Aboyisrunning.<br>Anappleisshown.<br>–<br>Dogsruninapark. |",1]
["| Rule(C→Q) | Caption |\n| --- | --- |\n| NP→“Doesitlooklike”+NP<br>NP1+VB(+NP2)<br>→conjug(“do/be”,tense(VB))+NP1+conjug(VB,present)(+NP2)?<br>NP1+MD+VB(+NP2)→MD+NP1+VB(+NP2)?<br>EX+“is/are”+NP→“is/are”+EX+NP? | Aman.<br>–<br>Adogjumped.<br>Aboywouldhittheball.<br>Therearecats. |","| a4 | 1in291 | 1in47 | 1in7 |\n| --- | --- | --- | --- |\n| c5 | 1in141 | 1in13 | 1in7 |",0]
["| Understandability | Similarity |\n| --- | --- |\n| 2.55 | 2.00 |","| 3.08 | 2.84 |\n| --- | --- |\n| 3.70 | 2.96 |\n| 3.60 | 3.27 |\n| 4.08 | 3.36 |",1]
["| Understandability | Similarity |\n| --- | --- |\n| 2.55 | 2.00 |","| Informationgainratio | Attribute |\n| --- | --- |\n| 1 | totalread |\n| 0.1842 | wordlength |\n| 0.1611 | totalfastasize |\n| 0.1208 | totalgenomes |\n| 0.0421 | length |\n| 0.0271 | similarity |",0]
["| Understandability | Similarity |\n| --- | --- |\n| 2.55 | 2.00 |","| 3.08 | 2.84 |\n| --- | --- |\n| 3.70 | 2.96 |\n| 3.60 | 3.27 |\n| 4.08 | 3.36 |",1]
["| Understandability | Similarity |\n| --- | --- |\n| 2.55 | 2.00 |","| 0.1611 | totalfastasize |\n| --- | --- |\n| 0.1208 | totalgenomes |\n| 0.0421 | length |\n| 0.0271 | similarity |",0]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |\n| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |","| NikonCamera | 0.84 | 0.85 | 0.380 | 0.404 |\n| --- | --- | --- | --- | --- |\n| NokiaPhone | 0.88 | 0.89 | 0.588 | 0.381 |\n| CanonCamera | 0.87 | 0.85 | 0.400 | 0.341 |\n| Average | 0.86 | 0.86 | 0.426 | 0.368 |",1]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |\n| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |","| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |\n| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |\n| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |\n| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |\n| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |\n| Average | 0.88 | 0.83 | 0.220 | 0.330 |",0]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |\n| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |\n| NikonCamera | 0.84 | 0.85 | 0.380 | 0.404 |\n| NokiaPhone | 0.88 | 0.89 | 0.588 | 0.381 |","| CanonCamera | 0.87 | 0.85 | 0.400 | 0.341 |\n| --- | --- | --- | --- | --- |\n| Average | 0.86 | 0.86 | 0.426 | 0.368 |",1]
["| Corpus | Original | Ours |  |  |\n| --- | --- | --- | --- | --- |\n| P | R | P | R |  |\n| ApexDVDPlayer | 0.89 | 0.87 | 0.362 | 0.389 |\n| CreativeMP3Player | 0.81 | 0.85 | 0.400 | 0.327 |\n| NikonCamera | 0.84 | 0.85 | 0.380 | 0.404 |\n| NokiaPhone | 0.88 | 0.89 | 0.588 | 0.381 |","| ApexDVDPlayer | 0.90 | 0.86 | 0.239 | 0.328 |\n| --- | --- | --- | --- | --- |\n| CreativeMP3Player | 0.81 | 0.84 | 0.180 | 0.319 |\n| NikonCamera | 0.87 | 0.81 | 0.194 | 0.287 |\n| NokiaPhone | 0.92 | 0.86 | 0.287 | 0.359 |\n| CanonCamera | 0.90 | 0.81 | 0.201 | 0.356 |\n| Average | 0.88 | 0.83 | 0.220 | 0.330 |",0]
["| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |\n| Tablet | 19 | 23 | 14 | 1 | 9 | 4 |\n| News | 9 | 3 | 27 | 6 | 17 | 5 |\n| Weather | 4 | 0 | 31 | 32 | 1 | 0 |","| Lecture | 4 | 2 | 32 | 0 | 17 | 13 |\n| --- | --- | --- | --- | --- | --- | --- |\n| Trailer | 2 | 3 | 6 | 0 | 20 | 43 |",1]
["| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |\n| Tablet | 19 | 23 | 14 | 1 | 9 | 4 |\n| News | 9 | 3 | 27 | 6 | 17 | 5 |\n| Weather | 4 | 0 | 31 | 32 | 1 | 0 |","| Time/Image | Strategy1 |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| Mean | Sparse | Crowded |  |  |  |  |  |\n| Car | Bus | Van | Car | Bus | Van |  |  |\n| 0.20s<br>0.08s<br>0.23s<br>0.31s | 70.17<br>70.04<br>63.23<br>46.44 | 81.82<br>81.40<br>79.94<br>60.93 | 85.60<br>84.39<br>83.71<br>66.68 | 78.65<br>77.39<br>76.79<br>60.14 | 56.80<br>53.76<br>51.74<br>26.08 | 55.78<br>54.06<br>32.95<br>24.55 | 62.38<br>69.23<br>54.26<br>40.24 |\n| 0.03s<br>0.03s | 43.82<br>16.53 | 59.71<br>23.06 | 65.51<br>31.13 | 58.35<br>22.44 | 17.39<br>3.87 | 21.55<br>8.35 | 40.42<br>10.32 |",0]
["| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |","| Tablet | 19 | 23 | 14 | 1 | 9 | 4 |\n| --- | --- | --- | --- | --- | --- | --- |\n| News | 9 | 3 | 27 | 6 | 17 | 5 |\n| Weather | 4 | 0 | 31 | 32 | 1 | 0 |\n| Lecture | 4 | 2 | 32 | 0 | 17 | 13 |\n| Trailer | 2 | 3 | 6 | 0 | 20 | 43 |",1]
["| Cluster<br>(Size) | C1<br>(81) | C2<br>(36) | C3<br>(111) | C4<br>(40) | C5<br>(72) | C6<br>(75) |\n| --- | --- | --- | --- | --- | --- | --- |\n| Soccer | 43 | 5 | 1 | 1 | 8 | 10 |","| 0.20s<br>0.08s<br>0.23s<br>0.31s | 70.17<br>70.04<br>63.23<br>46.44 | 81.82<br>81.40<br>79.94<br>60.93 | 85.60<br>84.39<br>83.71<br>66.68 | 78.65<br>77.39<br>76.79<br>60.14 | 56.80<br>53.76<br>51.74<br>26.08 | 55.78<br>54.06<br>32.95<br>24.55 | 62.38<br>69.23<br>54.26<br>40.24 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 0.03s<br>0.03s | 43.82<br>16.53 | 59.71<br>23.06 | 65.51<br>31.13 | 58.35<br>22.44 | 17.39<br>3.87 | 21.55<br>8.35 | 40.42<br>10.32 |",0]
["| Planktondensity(chl-a)ﬁeld | ENT | ERR |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Explorationpolicy | Model | 1R | 2R | 1R | 2R |\n| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 381.37<br>382.97<br>390.62<br>392.35<br>395.37 | 376.19<br>383.55<br>399.63<br>392.51<br>397.02 | 0.1827<br>0.2919<br>0.4145<br>0.2994<br>0.2764 | 0.2319<br>0.2579<br>0.3194<br>0.3356<br>0.2706 |","| Potassium(K)ﬁeld | ENT | ERR |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Explorationpolicy | Model | 1R | 2R | 1R | 2R |\n| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 47.330<br>61.080<br>67.084<br>58.704<br>59.058 | 48.287<br>56.181<br>59.318<br>64.186<br>67.390 | 0.0299<br>0.0457<br>0.0434<br>0.0431<br>0.0435 | 0.0213<br>0.0302<br>0.0358<br>0.0335<br>0.0343 |",1]
["| Planktondensity(chl-a)ﬁeld | ENT | ERR |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Explorationpolicy | Model | 1R | 2R | 1R | 2R |\n| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 381.37<br>382.97<br>390.62<br>392.35<br>395.37 | 376.19<br>383.55<br>399.63<br>392.51<br>397.02 | 0.1827<br>0.2919<br>0.4145<br>0.2994<br>0.2764 | 0.2319<br>0.2579<br>0.3194<br>0.3356<br>0.2706 |","| Method | S→U | E→H |\n| --- | --- | --- |\n| MKL<br>TJM<br>TKL<br>CORAL<br>LRSR<br>ATI | 0.889<br>0.898<br>0.902<br>0.904<br>0.893<br>0.905 | 0.392<br>0.314<br>0.391<br>0.398<br>0.380<br>0.330 |\n| HiGAN(nolabeledvideo) | 0.954 | 0.446 |\n| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 |\n| HiGAN(threelabeledvideos) | 0.967 | 0.526 |",0]
["| Planktondensity(chl-a)ﬁeld | ENT | ERR |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Explorationpolicy | Model | 1R | 2R | 1R | 2R |","| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 381.37<br>382.97<br>390.62<br>392.35<br>395.37 | 376.19<br>383.55<br>399.63<br>392.51<br>397.02 | 0.1827<br>0.2919<br>0.4145<br>0.2994<br>0.2764 | 0.2319<br>0.2579<br>0.3194<br>0.3356<br>0.2706 |\n| --- | --- | --- | --- | --- | --- |\n| Potassium(K)ﬁeld | ENT | ERR |  |  |  |\n| Explorationpolicy | Model | 1R | 2R | 1R | 2R |\n| Adaptiveπ<br>Adaptivegreedy<br>n<br>Non-adaptiveπ<br>Non-adaptivegreedy<br>MI-based | (cid:96)GP<br>(cid:96)GP<br>GP<br>GP<br>GP | 47.330<br>61.080<br>67.084<br>58.704<br>59.058 | 48.287<br>56.181<br>59.318<br>64.186<br>67.390 | 0.0299<br>0.0457<br>0.0434<br>0.0431<br>0.0435 | 0.0213<br>0.0302<br>0.0358<br>0.0335<br>0.0343 |",1]
["| Planktondensity(chl-a)ﬁeld | ENT | ERR |  |  |  |\n| --- | --- | --- | --- | --- | --- |\n| Explorationpolicy | Model | 1R | 2R | 1R | 2R |","| KCCA<br>HEMAP<br>DAMA<br>HFA<br>CDLS | 0.853<br>0.432<br>0.860<br>0.885<br>0.885 | 0.366<br>0.213<br>0.438<br>0.459<br>0.435 |\n| --- | --- | --- |\n| HiGAN(threelabeledvideos) | 0.967 | 0.526 |",0]
["| Method | Downtown | Parkway |\n| --- | --- | --- |\n| Baseline1 | 5.91 | 5.19 |\n| Baseline2 | 3.55 | 3.64 |","| Baseline3 | 2.74 | 2.52 |\n| --- | --- | --- |\n| FCN-A | 3.07 | 2.75 |\n| FCN-H | 2.48 | 2.30 |\n| FCN-HA | 2.04 | 2.04 |\n| FCN-dLSTM | 1.80 | 1.82 |\n| FCN-rLSTM | 1.53 | 1.63 |",1]
["| Method | Downtown | Parkway |\n| --- | --- | --- |\n| Baseline1 | 5.91 | 5.19 |\n| Baseline2 | 3.55 | 3.64 |","| Method | Downtown | Parkway |  |  |\n| --- | --- | --- | --- | --- |\n| MAE | ARA | MAE | ARA |  |\n| Baseline1 | 5.91 | 0.5104 | 5.19 | 0.5248 |\n| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |\n| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |\n| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |",0]
["| Method | Downtown | Parkway |\n| --- | --- | --- |\n| Baseline1 | 5.91 | 5.19 |","| Baseline2 | 3.55 | 3.64 |\n| --- | --- | --- |\n| Baseline3 | 2.74 | 2.52 |\n| FCN-A | 3.07 | 2.75 |\n| FCN-H | 2.48 | 2.30 |\n| FCN-HA | 2.04 | 2.04 |\n| FCN-dLSTM | 1.80 | 1.82 |\n| FCN-rLSTM | 1.53 | 1.63 |",1]
["| Method | Downtown | Parkway |\n| --- | --- | --- |\n| Baseline1 | 5.91 | 5.19 |","| Baseline2 | 3.55 | 0.6613 | 3.64 | 0.6741 |\n| --- | --- | --- | --- | --- |\n| OPT-RC | 4.56 | 0.6102 | 4.24 | 0.6281 |\n| FCN-MT | 2.74 | 0.7175 | 2.52 | 0.784 |",0]
["| Attributes | Possiblevalues |\n| --- | --- |\n| TYPE | or.INITIALSPREAD |\n| STARTTIME | Timeatwhichthetracewasinitialized. |\n| STARTINTENSITY | Initialintensityofthetrace. |\n| INTENSITY | Apositiverealnumbersmallerthan300. |\n| PATH | Alistof1to3parenttraces. |","| MAXINTENSITY | 300 |\n| --- | --- |\n| TARGETID | Usedforthetrackingmultipletargets. |",1]
["| Attributes | Possiblevalues |\n| --- | --- |\n| TYPE | or.INITIALSPREAD |\n| STARTTIME | Timeatwhichthetracewasinitialized. |\n| STARTINTENSITY | Initialintensityofthetrace. |\n| INTENSITY | Apositiverealnumbersmallerthan300. |\n| PATH | Alistof1to3parenttraces. |","| Symbol | Meaning |\n| --- | --- |\n| n | Numberofpatterns |\n| p | Numberofinputs(features)inapattern |\n| m | Numberofcolumns |\n| q | Numberofproximalsynapsespercolumn |\n| φ+ | Permanenceincrementamount |\n| φ− | Permanencedecrementamount |\n| φσ | Windowofpermanenceinitialization |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Attributes | Possiblevalues |\n| --- | --- |\n| TYPE | or.INITIALSPREAD |\n| STARTTIME | Timeatwhichthetracewasinitialized. |\n| STARTINTENSITY | Initialintensityofthetrace. |","| INTENSITY | Apositiverealnumbersmallerthan300. |\n| --- | --- |\n| PATH | Alistof1to3parenttraces. |\n| MAXINTENSITY | 300 |\n| TARGETID | Usedforthetrackingmultipletargets. |",1]
["| Attributes | Possiblevalues |\n| --- | --- |\n| TYPE | or.INITIALSPREAD |\n| STARTTIME | Timeatwhichthetracewasinitialized. |\n| STARTINTENSITY | Initialintensityofthetrace. |","| φσ | Windowofpermanenceinitialization |\n| --- | --- |\n| ρs | Proximalsynapseactivationtreshold |\n| ρd | Proximaldendritesegmentactivationtreshold |\n| ρc | Desiredcolumnactivitylevel |\n| sduty | Minimumactivitylevelscalingfactor |\n| sboost | Permanenceboostingscalingfactor |\n| β0 | Maximumboost |\n| τ | Dutycycleperiod |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |\n| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |","| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |\n| --- | --- | --- | --- | --- |\n| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |\n| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |\n| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |\n| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |\n| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |\n| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |\n| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |\n| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |\n| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |\n| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |","| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0000000012 | 0±0 | 0±0 | 0±0 |\n| 2 | 0.0000000088 | 0±0 | 0±0 | 0.0000000042±0.0000000947 |\n| 3 | 0.0000000621 | 0.0000004069±0.0000074176 | 0.0000000509±0.0000009272 | 0.0000000721±0.0000003956 |\n| 4 | 0.0000004128 | 0.0000001356±0.0000042869 | 0.0000003730±0.0000025999 | 0.0000004472±0.0000009996 |\n| 5 | 0.0000025165 | 0.0000016276±0.0000147681 | 0.0000024584±0.0000062977 | 0.0000026046±0.0000023888 |\n| 6 | 0.0000140033 | 0.0000168181±0.0000478803 | 0.0000138008±0.0000151588 | 0.0000140084±0.0000054692 |\n| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |\n| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |\n| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |\n| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |\n| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |\n| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |\n| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |\n| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |\n| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |\n| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |\n| 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |\n| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 |",0]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |\n| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |","| 3 | 0.0164099523 | 0.0164749126±0.0017334129 | 0.0164142764±0.0007593122 | 0.0163919906±0.0005562663 |\n| --- | --- | --- | --- | --- |\n| 4 | 0.0215495612 | 0.0216120513±0.0020547157 | 0.0215255058±0.0009606507 | 0.0215314282±0.0007204324 |\n| 5 | 0.0330311741 | 0.0333027883±0.0029126093 | 0.0329123421±0.0014204389 | 0.0330133628±0.0010944805 |\n| 6 | 0.0655968369 | 0.0660263377±0.0054606729 | 0.0653358713±0.0026905826 | 0.0655498797±0.0021627231 |\n| 7 | 0.1508513719 | 0.1515972160±0.0111574845 | 0.1502017361±0.0059413695 | 0.1507750735±0.0049173364 |\n| 8 | 0.2865694087 | 0.2866796841±0.0139163312 | 0.2856982460±0.0097570156 | 0.2864050409±0.0091539804 |\n| 9 | 0.2955178737 | 0.2936264874±0.0145071670 | 0.2955954899±0.0101189923 | 0.2951344134±0.0094283266 |\n| 10 | 0.1003906169 | 0.0994804734±0.0148415190 | 0.1011552450±0.0060279724 | 0.1001607244±0.0036143267 |\n| 11 | 0.0058132004 | 0.0058682671±0.0020576713 | 0.0058955320±0.0007574272 | 0.0057927890±0.0003043712 |\n| 12 | 0.0000159736 | 0.0000185627±0.0000504047 | 0.0000165817±0.0000181370 | 0.0000157326±0.0000057864 |",1]
["| Key<br>Age | Diﬀerential<br>Equations | Sims<br>n=8192 | Sims<br>n=65536 | Sims<br>n=524288 |\n| --- | --- | --- | --- | --- |\n| 1 | 0.0109912456 | 0.0110180068±0.0013529380 | 0.0110012567±0.0005847770 | 0.0109806228±0.0003822734 |\n| 2 | 0.0132627846 | 0.0132962114±0.0014180089 | 0.0132489158±0.0006426987 | 0.0132499410±0.0004533081 |","| 7 | 0.0000711550 | 0.0000779872±0.0001004372 | 0.0000708691±0.0000354163 | 0.0000718202±0.0000124441 |\n| --- | --- | --- | --- | --- |\n| 8 | 0.0003302926 | 0.0003438220±0.0002233071 | 0.0003195890±0.0000746674 | 0.0003317559±0.0000275909 |\n| 9 | 0.0014006589 | 0.0014721280±0.0005133678 | 0.0013790479±0.0001734967 | 0.0014051570±0.0000624493 |\n| 10 | 0.0054203409 | 0.0056228130±0.0012861569 | 0.0053175036±0.0004155336 | 0.0054218866±0.0001541873 |\n| 11 | 0.0190426783 | 0.0195947376±0.0033890440 | 0.0187390051±0.0011403881 | 0.0190677512±0.0004144598 |\n| 12 | 0.0596408085 | 0.0610249559±0.0089433574 | 0.0587034689±0.0029890910 | 0.0597147622±0.0010595725 |\n| 13 | 0.1576758321 | 0.1599762648±0.0177522046 | 0.1557674884±0.0061968220 | 0.1578802884±0.0021976097 |\n| 14 | 0.3056376472 | 0.3063086939±0.0174270189 | 0.3036759011±0.0063584378 | 0.3057603924±0.0022285217 |\n| 15 | 0.3239990269 | 0.3198004883±0.0176422773 | 0.3255669696±0.0058555114 | 0.3238154957±0.0021086756 |\n| 16 | 0.1187678782 | 0.1173343280±0.0260781256 | 0.1218899664±0.0094442642 | 0.1185390890±0.0033043206 |\n| 17 | 0.0079676382 | 0.0083817985±0.0044648123 | 0.0085186328±0.0015278714 | 0.0079452633±0.0005104320 |\n| 18 | 0.0000292668 | 0.0000429947±0.0000969077 | 0.0000348751±0.0000273052 | 0.0000292015±0.0000087025 |",0]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |","| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",1]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |\n| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |","| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 |\n| 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 |\n| 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |\n| 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |\n| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |\n| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |",0]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |","| 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 |\n| 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |",1]
["| c1 | c2 | c3 | c4 | c5 | AA | OA |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 |\n| 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 |\n| 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 |","| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |",0]
["| Method | Protein | DNA | Music | Sports | Compound |\n| --- | --- | --- | --- | --- | --- |\n| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |\n| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |\n| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |\n| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |\n| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |","| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |\n| --- | --- | --- | --- | --- | --- |\n| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |\n| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |\n| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |\n| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |\n| LAK | 31,718 | - | - | - | - |\n| GAK | 25,252 | >48h | 101,079 | >48h | >48h |\n| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |\n| CGK+Kernel | 31 | 95 | 196 | >48h | >48h |",1]
["| Method | Protein | DNA | Music | Sports | Compound |\n| --- | --- | --- | --- | --- | --- |\n| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |\n| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |\n| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |\n| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |\n| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |","| Method | Protein | DNA | Music | Sports |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=128)<br>CGK+FM(D=128) | 7.056(±5.319)<br>7.054(±5.316) | 7.051(±5.318)<br>7.055(±5.322) | 7.059(±5.320)<br>7.059(±5.319) | 7.057(±5.319)<br>7.057(±5.319) |\n| CGK+SFM(D=512)<br>CGK+FM(D=512) | 3.524(±2.662)<br>3.523(±2.664) | 3.526(±2.663)<br>3.526(±2.664) | 3.526(±2.662)<br>3.527(±2.661) | 3.525(±2.662)<br>3.525(±2.662) |\n| CGK+SFM(D=2048)<br>CGK+FM(D=2048) | 1.761(±1.331)<br>1.762(±1.332) | 1.762(±1.332)<br>1.761(±1.331) | 1.763(±1.332)<br>1.332(±1.763) | 1.763(±1.332)<br>1.762(±1.331) |\n| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |\n| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |",0]
["| Method | Protein | DNA | Music | Sports | Compound |\n| --- | --- | --- | --- | --- | --- |\n| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |\n| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |\n| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |\n| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |\n| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |\n| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |\n| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |\n| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |","| CGK+SFM(D=8192) | 969 | 3,693 | 1,688 | 27,790 | 25,054 |\n| --- | --- | --- | --- | --- | --- |\n| CGK+SFM(D=16384) | 1,937 | 7,596 | 3,366 | 53,482 | 49,060 |\n| LAK | 31,718 | - | - | - | - |\n| GAK | 25,252 | >48h | 101,079 | >48h | >48h |\n| ESP+Kernel | 20 | 28 | 162 | >48h | >48h |\n| CGK+Kernel | 31 | 95 | 196 | >48h | >48h |",1]
["| Method | Protein | DNA | Music | Sports | Compound |\n| --- | --- | --- | --- | --- | --- |\n| ESP+SFM(D=128) | 5 | 8 | 11 | 204 | 261 |\n| ESP+SFM(D=512) | 22 | 34 | 47 | 799 | 1,022 |\n| ESP+SFM(D=2048) | 93 | 138 | 193 | 3,149 | 4,101 |\n| ESP+SFM(D=8192) | 367 | 544 | 729 | 12,179 | 16,425 |\n| ESP+SFM(D=16384) | 725 | 1,081 | 1,430 | 24,282 | 32,651 |\n| CGK+SFM(D=128) | 14 | 52 | 26 | 452 | 397 |\n| CGK+SFM(D=512) | 60 | 222 | 104 | 1,747 | 1,570 |\n| CGK+SFM(D=2048) | 237 | 981 | 415 | 7,156 | 6,252 |","| CGK+SFM(D=8192)<br>CGK+FM(D=8192) | 0.881(±0.662)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.666) | 0.881(±0.665)<br>0.881(±0.665) |\n| --- | --- | --- | --- | --- |\n| CGK+SFM(D=16384)<br>CGK+FM(D=16384) | 0.623(±0.471)<br>0.623(±0.471) | 0.623(±0.470)<br>0.623(±0.470) | 0.632(±0.470)<br>0.632(±0.471) | 0.623(±0.470)<br>0.623(±0.470) |",0]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |\n| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |","| 0.00960.01910.1713 | 0.00970.01920.1726 | 0.00950.01910.1668 |\n| --- | --- | --- |\n| 0.00930.01880.1662 | 0.00940.01890.1686 | 0.00930.01880.1633 |\n| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |\n| 0.00910.01850.1509 | 0.00940.01890.1578 | 0.00920.01870.1519 |",1]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |\n| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |","| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |\n| 0.00960.01910.1635 | 0.00980.01930.1677 | 0.00970.01920.1611 |\n| 0.00930.01880.1594 | 0.00950.0190.1641 | 0.00940.01890.1578 |\n| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |\n| 0.00910.01860.1557 | 0.00940.01890.1601 | 0.00920.01870.1552 |\n| 0.0090.01840.1533 | 0.00920.01870.1585 | 0.00910.01850.1537 |",0]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |","| 0.00960.01920.1801 | 0.00960.01920.1806 | 0.00950.01910.1758 |\n| --- | --- | --- |\n| 0.00960.01910.1713 | 0.00970.01920.1726 | 0.00950.01910.1668 |\n| 0.00930.01880.1662 | 0.00940.01890.1686 | 0.00930.01880.1633 |\n| 0.00910.01850.1549 | 0.00940.01890.1604 | 0.00920.01870.1549 |\n| 0.00910.01850.1509 | 0.00940.01890.1578 | 0.00920.01870.1519 |",1]
["| D1 | D2 | D3 |\n| --- | --- | --- |\n| L1lossRMSEPDAR | L1lossRMSEPDAR | L1lossRMSEPDAR |","| 0.00910.01860.1557 | 0.00940.01890.1601 | 0.00920.01870.1552 |\n| --- | --- | --- |\n| 0.0090.01840.1533 | 0.00920.01870.1585 | 0.00910.01850.1537 |",0]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |","| Cataletal. | 94.66[91.17,98.15] | 85.25[76.27,94.22] | 75.89[71.62,80.16] | 32.45[30.18,34.71] | 74.67[65.75,83.58] |\n| --- | --- | --- | --- | --- | --- |\n| Kimetal. | 93.90[90.05,97.74] | 81.57[73.50,89.64] | 64.20[58.88,69.53] | 38.05[37.01,39.09] | 64.60[59.73,69.47] |\n| ChenandXue | 88.67[85.38,91.96] | 83.06[75.40,90.71] | 75.58[70.05,81.11] | − | − |\n| JiangandYin | 51.46[35.35,67.57] | − | 74.88[71.28,78.48] | − | − |\n| Haetal. | 88.34[84.91,91.78] | 73.79[59.56,88.02] | − | − | − |\n| HaandChoi | 84.23[80.01,88.44] | 74.21[60.91,87.50] | − | − | − |\n| MeanAccuracy | 84.52 | 78.19 | 72.14 | 27.84 | 68.64 |",1]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |","|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 99.03[98.41,99.64] | 93.86[93.03,94.70] | 75.74[72.06,79.43] | 11.34[09.42,13.27] | 67.83[62.21,73.45] |\n| Cataletal. | 99.63[99.32,99.93] | 95.77[95.23,96.31] | 88.76[88.12,89.41] | 46.90[44.56,49.23] | 82.10[79.28,84.93] |\n| Kimetal. | 99.70[99.40,100.0] | 92.84[92.31,93.37] | 86.80[85.89,87.71] | 48.02[46.28,49.76] | 73.03[69.91,76.16] |\n| ChenandXue | 91.61[89.98,93.25] | 92.36[91.55,93.18] | 82.63[82.04,83.23] | − | − |\n| JiangandYin | 51.00[29.29,72.70] | − | 76.77[75.78,77.77] | − | − |\n| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |\n| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |\n| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |",0]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |\n| Cataletal. | 94.66[91.17,98.15] | 85.25[76.27,94.22] | 75.89[71.62,80.16] | 32.45[30.18,34.71] | 74.67[65.75,83.58] |\n| Kimetal. | 93.90[90.05,97.74] | 81.57[73.50,89.64] | 64.20[58.88,69.53] | 38.05[37.01,39.09] | 64.60[59.73,69.47] |","| ChenandXue | 88.67[85.38,91.96] | 83.06[75.40,90.71] | 75.58[70.05,81.11] | − | − |\n| --- | --- | --- | --- | --- | --- |\n| JiangandYin | 51.46[35.35,67.57] | − | 74.88[71.28,78.48] | − | − |\n| Haetal. | 88.34[84.91,91.78] | 73.79[59.56,88.02] | − | − | − |\n| HaandChoi | 84.23[80.01,88.44] | 74.21[60.91,87.50] | − | − | − |\n| MeanAccuracy | 84.52 | 78.19 | 72.14 | 27.84 | 68.64 |",1]
["|  | MHEALTH | PAMAP2 | USCHAD | UTD-MHAD1 | UTD-MHAD2 |\n| --- | --- | --- | --- | --- | --- |\n| Kwapiszetal. | 90.41[86.54,94.28] | 71.27[52.07,90.47] | 70.15[65.06,75.24] | 13.04[10.19,15.90] | 66.67[59.21,74.14] |\n| Cataletal. | 94.66[91.17,98.15] | 85.25[76.27,94.22] | 75.89[71.62,80.16] | 32.45[30.18,34.71] | 74.67[65.75,83.58] |\n| Kimetal. | 93.90[90.05,97.74] | 81.57[73.50,89.64] | 64.20[58.88,69.53] | 38.05[37.01,39.09] | 64.60[59.73,69.47] |","| ChenandXue | 91.61[89.98,93.25] | 92.36[91.55,93.18] | 82.63[82.04,83.23] | − | − |\n| --- | --- | --- | --- | --- | --- |\n| JiangandYin | 51.00[29.29,72.70] | − | 76.77[75.78,77.77] | − | − |\n| Haetal. | 90.85[88.96,92.75] | 90.77[89.45,92.09] | − | − | − |\n| HaandChoi | 82.70[79.76,85.64] | 87.36[86.20,88.52] | − | − | − |\n| MeanAccuracy | 87.78 | 92.16 | 82.14 | 35.41 | 74.32 |",0]
["| Method | Protocol | MF1Rank1 | MF1Veri. |\n| --- | --- | --- | --- |\n| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |\n| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |","| BeijingFaceAllNorm1600<br>Google-FaceNetv8<br>NTechLAB-facenxlarge<br>SIATMMLABTencentVision<br>DeepSenseV2<br>YouTuLab<br>Vocord-deepVoV3 | Large<br>Large<br>Large<br>Large<br>Large<br>Large<br>Large | 64.80<br>70.49<br>73.30<br>74.20<br>81.29<br>83.29<br>91.76 | 67.11<br>86.47<br>85.08<br>87.27<br>95.99<br>91.34<br>94.96 |\n| --- | --- | --- | --- |\n| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Large<br>Large | 82.72<br>84.26 | 96.65<br>97.96 |",1]
["| Method | Protocol | MF1Rank1 | MF1Veri. |\n| --- | --- | --- | --- |\n| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |\n| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |","| Network | #Predicted | #Matched | #Derivable | #Derived | Pr |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 294<br>156<br>167<br>172 | 29<br>31<br>32<br>39 | 155<br>102<br>109<br>112 | 38<br>40<br>40<br>41 | 0.098<br>0.198<br>0.191<br>0.226 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| Method | Protocol | MF1Rank1 | MF1Veri. |\n| --- | --- | --- | --- |\n| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |\n| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |","| BeijingFaceAllNorm1600<br>Google-FaceNetv8<br>NTechLAB-facenxlarge<br>SIATMMLABTencentVision<br>DeepSenseV2<br>YouTuLab<br>Vocord-deepVoV3 | Large<br>Large<br>Large<br>Large<br>Large<br>Large<br>Large | 64.80<br>70.49<br>73.30<br>74.20<br>81.29<br>83.29<br>91.76 | 67.11<br>86.47<br>85.08<br>87.27<br>95.99<br>91.34<br>94.96 |\n| --- | --- | --- | --- |\n| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Large<br>Large | 82.72<br>84.26 | 96.65<br>97.96 |",1]
["| Method | Protocol | MF1Rank1 | MF1Veri. |\n| --- | --- | --- | --- |\n| SIATMMLAB<br>DeepSense-Small<br>SphereFace-Small<br>BeijingFaceAllV2<br>GRCCV<br>FUDAN-CSSDS | Small<br>Small<br>Small<br>Small<br>Small<br>Small | 65.23<br>70.98<br>75.76<br>76.66<br>77.67<br>77.98 | 76.72<br>82.85<br>90.04<br>77.60<br>74.88<br>79.19 |\n| CosFace(Single-patch)<br>CosFace(3-patchensemble) | Small<br>Small | 77.11<br>79.54 | 89.88<br>92.22 |","| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 297<br>149<br>162<br>168 | 39<br>38<br>41<br>41 | 155<br>102<br>109<br>112 | 49<br>51<br>52<br>54 | 0.131<br>0.255<br>0.253<br>0.244 |\n| --- | --- | --- | --- | --- | --- |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 156<br>144<br>165<br>128 | 41<br>31<br>43<br>39 | 155<br>102<br>109<br>112 | 56<br>59<br>60<br>59 | 0.263<br>0.215<br>0.260<br>0.304 |\n| PhysicalP<br>FSW(P)<br>ICD(P)<br>TCSS(P) | 414<br>221<br>248<br>253 | 34<br>32<br>37<br>46 | 155<br>102<br>109<br>112 | 41<br>44<br>45<br>45 | 0.082<br>0.144<br>0.149<br>0.181 |",0]
["| production | frequency | period | volume |\n| --- | --- | --- | --- |\n| g1 | 1 | 6 | 15×15 |\n| g,g13 | 2 | 6 | 15×15 |\n| g,g,g123 | 3 | 6 | 14×15 |\n| 3g,2g12 | 5 | 12 | 16×17 |\n| 5g1 | 5 | 12 | 19×17 |\n| 6g2 | 6 | 6 | 8×9 |\n| 6g1 | 6 | 22 | 12×12 |\n| 3g,4g12 | 7 | 12 | 14×14 |","| 3g,2g,2g124 | 7 | 12 | 15×17 |\n| --- | --- | --- | --- |\n| 5g,2g15 | 7 | 12 | 15×15 |",1]
["| production | frequency | period | volume |\n| --- | --- | --- | --- |\n| g1 | 1 | 6 | 15×15 |\n| g,g13 | 2 | 6 | 15×15 |\n| g,g,g123 | 3 | 6 | 14×15 |\n| 3g,2g12 | 5 | 12 | 16×17 |\n| 5g1 | 5 | 12 | 19×17 |\n| 6g2 | 6 | 6 | 8×9 |\n| 6g1 | 6 | 22 | 12×12 |\n| 3g,4g12 | 7 | 12 | 14×14 |","| fac | fou | kar | mor | pix | zer | TransmissionCostAmongtheNodes |\n| --- | --- | --- | --- | --- | --- | --- |\n| 1 | 1 | 1 | 1 | 1 | 1 | 3.0×10 |\n| 4 | 1 | 1 | 1 | 4 | 1 | 6.0×10 |\n| 6 | 2 | 2 | 1 | 6 | 2 | 9.6×10 |\n| 10 | 4 | 4 | 1 | 10 | 4 | 1.46×10 |\n| 10 | 4 | 4 | 1 | 13 | 6 | 1.84×10 |\n| 14 | 5 | 7 | 1 | 14 | 8 | 2.46×10 |\n| 15 | 6 | 10 | 1 | 20 | 10 | 3.08×10 |",0]
["| production | frequency | period | volume |\n| --- | --- | --- | --- |\n| g1 | 1 | 6 | 15×15 |\n| g,g13 | 2 | 6 | 15×15 |\n| g,g,g123 | 3 | 6 | 14×15 |\n| 3g,2g12 | 5 | 12 | 16×17 |\n| 5g1 | 5 | 12 | 19×17 |\n| 6g2 | 6 | 6 | 8×9 |","| 6g1 | 6 | 22 | 12×12 |\n| --- | --- | --- | --- |\n| 3g,4g12 | 7 | 12 | 14×14 |\n| 3g,2g,2g124 | 7 | 12 | 15×17 |\n| 5g,2g15 | 7 | 12 | 15×15 |",1]
["| production | frequency | period | volume |\n| --- | --- | --- | --- |\n| g1 | 1 | 6 | 15×15 |\n| g,g13 | 2 | 6 | 15×15 |\n| g,g,g123 | 3 | 6 | 14×15 |\n| 3g,2g12 | 5 | 12 | 16×17 |\n| 5g1 | 5 | 12 | 19×17 |\n| 6g2 | 6 | 6 | 8×9 |","| 14 | 5 | 7 | 1 | 14 | 8 | 2.46×10 |\n| --- | --- | --- | --- | --- | --- | --- |\n| 15 | 6 | 10 | 1 | 20 | 10 | 3.08×10 |",0]
["| Datasets | Recognitiontasks | #Classes | #Train-Test |\n| --- | --- | --- | --- |\n| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |\n| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |\n| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |\n| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |\n| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |\n| mnist-rot-back-image | Sameasbasicwithrotationandimagebackground | 10 | 12000-50000 |\n| rectangles | Tallorwiderectangles | 2 | 1200-50000 |","| rectangles-image | Sameasrect.withimagebackground | 2 | 12000-50000 |\n| --- | --- | --- | --- |\n| ConvexNonConvex | Convexornon-convexshapes | 2 | 8000-50000 |",1]
["| Datasets | Recognitiontasks | #Classes | #Train-Test |\n| --- | --- | --- | --- |\n| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |\n| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |\n| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |\n| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |\n| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |\n| mnist-rot-back-image | Sameasbasicwithrotationandimagebackground | 10 | 12000-50000 |\n| rectangles | Tallorwiderectangles | 2 | 1200-50000 |","| Model | UCF-101 | HMDB-51 |\n| --- | --- | --- |\n| Two-Stream | 88.0 | 59.4 |\n| IDT | 86.4 | 61.7 |\n| DynamicImageNetworks+IDT | 89.1 | 65.2 |\n| TDD+IDT | 91.5 | 65.9 |\n| Two-StreamFusion+IDT | 93.5 | 69.2 |\n| TemporalSegmentNetworks | 94.2 | 69.4 |\n| ST-ResNet+IDT | 94.6 | 70.3 |\n| DeepNetworks,Sports1Mpre-training | 65.2 | - |\n| C3Donenetwork,Sports1Mpre-training | 82.3 | - |\n| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",0]
["| Datasets | Recognitiontasks | #Classes | #Train-Test |\n| --- | --- | --- | --- |\n| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |\n| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |\n| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |\n| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |\n| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |","| mnist-rot-back-image | Sameasbasicwithrotationandimagebackground | 10 | 12000-50000 |\n| --- | --- | --- | --- |\n| rectangles | Tallorwiderectangles | 2 | 1200-50000 |\n| rectangles-image | Sameasrect.withimagebackground | 2 | 12000-50000 |\n| ConvexNonConvex | Convexornon-convexshapes | 2 | 8000-50000 |",1]
["| Datasets | Recognitiontasks | #Classes | #Train-Test |\n| --- | --- | --- | --- |\n| MNIST | Handwrittendigitsfrom0to9 | 10 | 60000-10000 |\n| mnist-basic | SmallersubsetofMNIST | 10 | 12000-50000 |\n| mnist-rot | Sameasbasicwithrotation | 10 | 12000-50000 |\n| mnist-back-rand | Sameasbasicwithrandombackground | 10 | 12000-50000 |\n| mnist-back-image | Sameasbasicwithimagebackground | 10 | 12000-50000 |","| ST-ResNet+IDT | 94.6 | 70.3 |\n| --- | --- | --- |\n| DeepNetworks,Sports1Mpre-training | 65.2 | - |\n| C3Donenetwork,Sports1Mpre-training | 82.3 | - |\n| C3Densemble,Sports1Mpre-training | 85.2 | - |\n| C3Densemble+IDT,Sports1Mpre-training | 90.1 | - |\n| RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 |\n| Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 |\n| Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 |\n| RGB-I3D,Kineticspre-training | 95.1 | 74.3 |\n| Flow-I3D,Kineticspre-training | 96.5 | 77.3 |\n| Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |",0]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |\n| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 |  |\n| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 |  |","| 25 | 18.65 | 81.35 | 82.65 | 74.05 | 30.35 | 75.3 | 83.15 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 |\n| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 |",1]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |\n| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 |  |\n| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 |  |","| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 92.25 | 87 | 87.25 | 87.3 | 86.45 | 89.3 | 89.25 | 90.3 |\n| 15 | 75.85 | 87.15 | 87.4 | 86.75 | 82.85 | 87.2 | 89.8 |  |\n| 20 | 64.35 | 87.6 | 87.55 | 84.65 | 71.2 | 85.55 | 88.55 |  |\n| 25 | 55.85 | 87 | 86.95 | 79.4 | 62.35 | 82.65 | 87.8 |  |\n| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |  |\n| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 |  |",0]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |","| 15 | 25.1 | 82.95 | 83.4 | 81.15 | 49.65 | 79.65 | 84.8 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 20 | 23.15 | 83.5 | 84 | 79.3 | 37.8 | 78.65 | 83.8 |\n| 25 | 18.65 | 81.35 | 82.65 | 74.05 | 30.35 | 75.3 | 83.15 |\n| 30 | 18.6 | 77.95 | 79 | 71.5 | 24.1 | 72.9 | 82.05 |\n| 35 | 16.95 | 71.2 | 73.4 | 67.75 | 21.05 | 71.45 | 79.05 |",1]
["| α | clean | noisy | PCP | PCPF | AltProj | IRPCA-IHT | fastRPCA | ouralgorithm |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 10 | 89.65 | 30.45 | 82.75 | 83.35 | 81.4 | 65.2 | 81.1 | 86.9 |","| 30 | 47.15 | 81.15 | 81.55 | 76.75 | 53.5 | 78.3 | 85.65 |\n| --- | --- | --- | --- | --- | --- | --- | --- |\n| 35 | 40.55 | 74.8 | 75.7 | 71 | 47.4 | 76.75 | 85.15 |",0]